diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..be55ed1
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,2 @@
+GJ1214_b/*
+output/*
diff --git a/README.md b/README.md
index 48ef0be..43d00c8 100755
--- a/README.md
+++ b/README.md
@@ -22,6 +22,7 @@ VULCAN requires the following python packages:
- matplotlib
- PIL/Pillow (optional: for interactive plotting)
and the embeded [FastChem](https://github.com/exoclime/FastChem) requires a standard C++ compiler, like g++ or Clang.
+- numba (optional: for Monte Carlo RT module)
If any of the python packages are missing, you can install the full SciPy Stack via Pip, e.g.
```bash
@@ -87,6 +88,7 @@ for a weaker vertical mixing (Kzz) and carbon rich (C/O=1) run. Set u
│ ├── op.py
│ ├── phy_const.py
│ ├── store.py
+│ ├── gCMCRT.py
│ ├── vulcan.py
│ ├── vulcan_cfg.py
```
@@ -104,7 +106,8 @@ for a weaker vertical mixing (Kzz) and carbon rich (C/O=1) run. Set u
`NCHO_photo_netowrk.txt`: the default N-C-H-O photochemical kinetics network
`op.py`: all the modules for the numerical operations, e.g. computing reaction rates, ODE solvers etc.
`make_chem_funs.py`: the routine that runs first to produce the required `chem_funs.py` based on the assigned chemical network
-`phy_const.py`: physical constants
+`phy_const.py`: physical constants
+`gCMCRT.py`: 1D Monte Carlo radiative-transfer module
`store.py`: modules to store all the variables
`vulcan.py`: the top-level main script of VULCAN
`vulcan_cfg.py`: the configuration file for VULCAN
@@ -157,6 +160,11 @@ will read vulcan output (.vul files) can plot the species profiles. Species shou
The script of ```plot_vulcan.py``` should also serve as a good example of how to access to output files. The first step is to use "pickle.load" to unpack the binary files. The main variables are stored in three basic classes: data['variable'], data['atm'], and data['parameter'].
You can also find all the names of variables and the class structure in ```store.py```.
+### Using the Monte Carlo radiative-transfer (MCRT) module ###
+To enable the MCRT module edit the use_gCMCRT variable to True in vulcan_cfg.py. The number of photon packets is given by the variable Nph in the same file.
+The MCRT will run slow at first past as it compiles and caches, but then will run a lot faster. We suggest lowering the number of packets if runtimes are too slow, but no smaller than 1000 packets. Alternativly, lower the number of wavelength bins for the photochemistry.
+We include timing output of the MCRT module step to aid this determination.
+
### Troubleshooting ###
- `xcrun: error: invalid active developer path (/Library/Developer/CommandLineTools), missing xcrun at: /Library/Developer/CommandLineTools/usr/bin/xcrun`
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diff --git a/atm/atm_GJ1214b_Kzz.txt b/atm/atm_GJ1214b_Kzz.txt
new file mode 100644
index 0000000..cd26eb0
--- /dev/null
+++ b/atm/atm_GJ1214b_Kzz.txt
@@ -0,0 +1,118 @@
+#(dyne/cm2) (K) (cm2/s)
+ Pressure Temp Kzz
+896151000.0 1258.19 270418.62518778135
+719686000.0 1214.18 301755.83042297367
+577969000.0 1179.72 336724.6613278543
+464159000.0 1154.42 375745.5184963396
+372759000.0 1135.97 419288.6712632056
+299358000.0 1122.3 467877.07161151076
+240410000.0 1112.59 522096.68192223064
+193070000.0 1105.98 582599.0861696698
+155052000.0 1101.44 650112.4919445151
+124520000.0 1098.49 725450.2611340531
+100000000.0 1096.84 809519.2813847678
+80308600.0 1095.92 903329.4514514874
+64494700.0 1095.26 1008010.7968839619
+51794700.0 1094.79 1124823.9021855702
+41595600.0 1094.46 1255172.7462258216
+33404800.0 1094.23 1400627.8559314867
+26827000.0 1094.06 1562935.8132243967
+21544300.0 1093.94 1744058.320403745
+17302000.0 1093.85 1946162.2468942143
+13895000.0 1093.79 2171690.4513717936
+11158800.0 1093.75 2423362.8756560283
+8961510.0 1093.72 2704186.251877813
+7196860.0 1093.69 3017558.3042297373
+5779690.0 1093.68 3367246.613278543
+4641590.0 1093.66 3757455.1849633963
+3727590.0 1093.63 4192886.7126320554
+2993580.0 1093.43 4678770.716115107
+2404100.0 1092.62 5220966.819222306
+1930700.0 1090.38 5825990.861696697
+1550520.0 1085.72 6501124.919445151
+1245200.0 1077.63 7254502.611340532
+1000000.0 1065.27 8095192.813847679
+803086.0 1047.75 9033294.514514875
+644947.0 1023.91 10080107.968839617
+517947.0 993.02 11248239.021855703
+415956.0 956.145 12551727.462258214
+334048.0 915.988 14006278.559314867
+268270.0 875.857 15629358.132243967
+215443.0 838.701 17440583.20403745
+173020.0 805.452 19461622.468942147
+138950.0 775.858 21716904.513717934
+111588.0 750.461 24233628.756560277
+89615.1 729.133 27041862.518778134
+71968.6 710.102 30175583.04229737
+57796.9 693.34 33672466.13278543
+46415.9 678.918 37574551.849633954
+37275.9 666.26 41928867.12632056
+29935.8 655.391 46787707.161151074
+24041.0 646.555 52209668.19222306
+19307.0 639.154 58259908.61696697
+15505.2 632.522 65011249.1944515
+12452.0 627.217 72545026.1134053
+10000.0 623.304 80951928.13847679
+8030.86 619.473 90332945.14514875
+6449.47 616.11 100801079.68839617
+5179.47 613.423 112482390.21855702
+4159.56 611.153 125517274.62258212
+3340.48 609.111 140062785.59314868
+2682.7 607.555 156293581.3224397
+2154.43 606.438 174405832.04037452
+1730.2 605.179 194616224.68942145
+1389.5 604.089 217169045.13717937
+1115.88 603.265 242336287.56560278
+896.151 602.356 270418625.1877813
+719.686 601.221 301755830.4229737
+577.969 600.14 336724661.32785434
+464.159 599.055 375745518.49633956
+372.759 597.823 419288671.26320565
+299.358 596.504 467877071.6115107
+240.41 595.079 522096681.9222306
+193.07 593.436 582599086.1696696
+155.052 591.557 650112491.9445151
+124.52 589.537 725450261.1340531
+100.0 587.409 809519281.3847679
+80.3086 585.174 903329451.4514874
+64.4947 582.978 1008010796.8839619
+51.7947 580.848 1124823902.1855702
+41.5956 578.767 1255172746.2258215
+33.4048 576.686 1400627855.9314866
+26.827 574.507 1562935813.2243967
+21.5443 572.13 1744058320.403745
+17.302 569.465 1946162246.8942142
+13.895 566.5 2171690451.3717937
+11.1588 563.245 2423362875.656028
+8.96151 559.674 2704186251.8778133
+7.19686 555.864 3017558304.2297363
+5.77969 551.937 3367246613.278543
+4.64159 547.976 3757455184.9633965
+3.72759 544.164 4192886712.632056
+2.99358 540.619 4678770716.115108
+2.4041 537.335 5220966819.222305
+1.9307 534.306 5825990861.696697
+1.55052 531.511 6501124919.445151
+1.2452 528.951 7254502611.34053
+1.0 526.637 8095192813.847678
+0.803086 524.583 9033294514.514875
+0.644947 522.677 10080107968.839619
+0.517947 520.932 11248239021.855701
+0.415956 519.343 12551727462.258215
+0.334048 517.911 14006278559.314867
+0.26827 516.629 15629358132.243967
+0.215443 515.487 17440583204.037453
+0.17302 514.475 19461622468.942142
+0.13895 513.582 21716904513.717937
+0.111588 512.801 24233628756.56028
+0.0896151 512.115 27041862518.77813
+0.0719686 511.519 30175583042.29737
+0.0577969 511.0 33672466132.78543
+0.0464159 510.543 37574551849.63395
+0.0372759 510.145 41928867126.320564
+0.0299358 509.797 46787707161.15108
+0.024041 509.495 52209668192.22305
+0.019307 509.235 58259908616.966965
+0.0155052 509.011 65011249194.451515
+0.012452 508.818 72545026113.4053
+0.01 508.66 80951928138.47678
diff --git a/atm/atm_GJ1214b_Kzz_aer.txt b/atm/atm_GJ1214b_Kzz_aer.txt
new file mode 100644
index 0000000..eadbaeb
--- /dev/null
+++ b/atm/atm_GJ1214b_Kzz_aer.txt
@@ -0,0 +1,118 @@
+#(dyne/cm2) (K) (cm2/s) (cm-3) (um) (cm2)
+Pressure Temp Kzz nd rm sig2
+896151000.0 1258.19 270418.62518778135 0.0 0.0 0.0
+719686000.0 1214.18 301755.83042297367 0.0 0.0 0.0
+577969000.0 1179.72 336724.6613278543 0.0 0.0 0.0
+464159000.0 1154.42 375745.5184963396 0.0 0.0 0.0
+372759000.0 1135.97 419288.6712632056 0.0 0.0 0.0
+299358000.0 1122.3 467877.07161151076 0.0 0.0 0.0
+240410000.0 1112.59 522096.68192223064 0.0 0.0 0.0
+193070000.0 1105.98 582599.0861696698 0.0 0.0 0.0
+155052000.0 1101.44 650112.4919445151 0.0 0.0 0.0
+124520000.0 1098.49 725450.2611340531 0.0 0.0 0.0
+100000000.0 1096.84 809519.2813847678 0.0 0.0 0.0
+80308600.0 1095.92 903329.4514514874 0.0 0.0 0.0
+64494700.0 1095.26 1008010.7968839619 0.0 0.0 0.0
+51794700.0 1094.79 1124823.9021855702 0.0 0.0 0.0
+41595600.0 1094.46 1255172.7462258216 0.0 0.0 0.0
+33404800.0 1094.23 1400627.8559314867 0.0 0.0 0.0
+26827000.0 1094.06 1562935.8132243967 0.0 0.0 0.0
+21544300.0 1093.94 1744058.320403745 0.0 0.0 0.0
+17302000.0 1093.85 1946162.2468942143 0.0 0.0 0.0
+13895000.0 1093.79 2171690.4513717936 0.0 0.0 0.0
+11158800.0 1093.75 2423362.8756560283 0.0 0.0 0.0
+8961510.0 1093.72 2704186.251877813 0.0 0.0 0.0
+7196860.0 1093.69 3017558.3042297373 0.0 0.0 0.0
+5779690.0 1093.68 3367246.613278543 0.0 0.0 0.0
+4641590.0 1093.66 3757455.1849633963 0.0 0.0 0.0
+3727590.0 1093.63 4192886.7126320554 0.0 0.0 0.0
+2993580.0 1093.43 4678770.716115107 0.0 0.0 0.0
+2404100.0 1092.62 5220966.819222306 0.0 0.0 0.0
+1930700.0 1090.38 5825990.861696697 0.0 0.0 0.0
+1550520.0 1085.72 6501124.919445151 0.0 0.0 0.0
+1245200.0 1077.63 7254502.611340532 0.0 0.0 0.0
+1000000.0 1065.27 8095192.813847679 0.0 0.0 0.0
+803086.0 1047.75 9033294.514514875 0.0 0.0 0.0
+644947.0 1023.91 10080107.968839617 0.0 0.0 0.0
+517947.0 993.02 11248239.021855703 0.0 0.0 0.0
+415956.0 956.145 12551727.462258214 0.0 0.0 0.0
+334048.0 915.988 14006278.559314867 0.0 0.0 0.0
+268270.0 875.857 15629358.132243967 0.0 0.0 0.0
+215443.0 838.701 17440583.20403745 0.0 0.0 0.0
+173020.0 805.452 19461622.468942147 0.0 0.0 0.0
+138950.0 775.858 21716904.513717934 0.0 0.0 0.0
+111588.0 750.461 24233628.756560277 0.0 0.0 0.0
+89615.1 729.133 27041862.518778134 1000000.0 1.0 1.0
+71968.6 710.102 30175583.04229737 1000000.0 1.0 1.0
+57796.9 693.34 33672466.13278543 1000000.0 1.0 1.0
+46415.9 678.918 37574551.849633954 1000000.0 1.0 1.0
+37275.9 666.26 41928867.12632056 1000000.0 1.0 1.0
+29935.8 655.391 46787707.161151074 1000000.0 1.0 1.0
+24041.0 646.555 52209668.19222306 1000000.0 1.0 1.0
+19307.0 639.154 58259908.61696697 1000000.0 1.0 1.0
+15505.2 632.522 65011249.1944515 1000000.0 1.0 1.0
+12452.0 627.217 72545026.1134053 1000000.0 1.0 1.0
+10000.0 623.304 80951928.13847679 1000000.0 1.0 1.0
+8030.86 619.473 90332945.14514875 1000000.0 1.0 1.0
+6449.47 616.11 100801079.68839617 1000000.0 1.0 1.0
+5179.47 613.423 112482390.21855702 1000000.0 1.0 1.0
+4159.56 611.153 125517274.62258212 1000000.0 1.0 1.0
+3340.48 609.111 140062785.59314868 1000000.0 1.0 1.0
+2682.7 607.555 156293581.3224397 1000000.0 1.0 1.0
+2154.43 606.438 174405832.04037452 1000000.0 1.0 1.0
+1730.2 605.179 194616224.68942145 1000000.0 1.0 1.0
+1389.5 604.089 217169045.13717937 1000000.0 1.0 1.0
+1115.88 603.265 242336287.56560278 1000000.0 1.0 1.0
+896.151 602.356 270418625.1877813 1000000.0 1.0 1.0
+719.686 601.221 301755830.4229737 1000000.0 1.0 1.0
+577.969 600.14 336724661.32785434 1000000.0 1.0 1.0
+464.159 599.055 375745518.49633956 1000000.0 1.0 1.0
+372.759 597.823 419288671.26320565 1000000.0 1.0 1.0
+299.358 596.504 467877071.6115107 1000000.0 1.0 1.0
+240.41 595.079 522096681.9222306 1000000.0 1.0 1.0
+193.07 593.436 582599086.1696696 1000000.0 1.0 1.0
+155.052 591.557 650112491.9445151 1000000.0 1.0 1.0
+124.52 589.537 725450261.1340531 1000000.0 1.0 1.0
+100.0 587.409 809519281.3847679 1000000.0 1.0 1.0
+80.3086 585.174 903329451.4514874 1000000.0 1.0 1.0
+64.4947 582.978 1008010796.8839619 1000000.0 1.0 1.0
+51.7947 580.848 1124823902.1855702 1000000.0 1.0 1.0
+41.5956 578.767 1255172746.2258215 1000000.0 1.0 1.0
+33.4048 576.686 1400627855.9314866 1000000.0 1.0 1.0
+26.827 574.507 1562935813.2243967 1000000.0 1.0 1.0
+21.5443 572.13 1744058320.403745 1000000.0 1.0 1.0
+17.302 569.465 1946162246.8942142 1000000.0 1.0 1.0
+13.895 566.5 2171690451.3717937 1000000.0 1.0 1.0
+11.1588 563.245 2423362875.656028 1000000.0 1.0 1.0
+8.96151 559.674 2704186251.8778133 1000000.0 1.0 1.0
+7.19686 555.864 3017558304.2297363 1000000.0 1.0 1.0
+5.77969 551.937 3367246613.278543 1000000.0 1.0 1.0
+4.64159 547.976 3757455184.9633965 1000000.0 1.0 1.0
+3.72759 544.164 4192886712.632056 1000000.0 1.0 1.0
+2.99358 540.619 4678770716.115108 1000000.0 1.0 1.0
+2.4041 537.335 5220966819.222305 1000000.0 1.0 1.0
+1.9307 534.306 5825990861.696697 1000000.0 1.0 1.0
+1.55052 531.511 6501124919.445151 1000000.0 1.0 1.0
+1.2452 528.951 7254502611.34053 1000000.0 1.0 1.0
+1.0 526.637 8095192813.847678 1000000.0 1.0 1.0
+0.803086 524.583 9033294514.514875 1000000.0 1.0 1.0
+0.644947 522.677 10080107968.839619 1000000.0 1.0 1.0
+0.517947 520.932 11248239021.855701 1000000.0 1.0 1.0
+0.415956 519.343 12551727462.258215 1000000.0 1.0 1.0
+0.334048 517.911 14006278559.314867 1000000.0 1.0 1.0
+0.26827 516.629 15629358132.243967 1000000.0 1.0 1.0
+0.215443 515.487 17440583204.037453 1000000.0 1.0 1.0
+0.17302 514.475 19461622468.942142 1000000.0 1.0 1.0
+0.13895 513.582 21716904513.717937 1000000.0 1.0 1.0
+0.111588 512.801 24233628756.56028 1000000.0 1.0 1.0
+0.0896151 512.115 27041862518.77813 1000000.0 1.0 1.0
+0.0719686 511.519 30175583042.29737 1000000.0 1.0 1.0
+0.0577969 511.0 33672466132.78543 1000000.0 1.0 1.0
+0.0464159 510.543 37574551849.63395 1000000.0 1.0 1.0
+0.0372759 510.145 41928867126.320564 1000000.0 1.0 1.0
+0.0299358 509.797 46787707161.15108 1000000.0 1.0 1.0
+0.024041 509.495 52209668192.22305 1000000.0 1.0 1.0
+0.019307 509.235 58259908616.966965 1000000.0 1.0 1.0
+0.0155052 509.011 65011249194.451515 1000000.0 1.0 1.0
+0.012452 508.818 72545026113.4053 1000000.0 1.0 1.0
+0.01 508.66 80951928138.47678 1000000.0 1.0 1.0
diff --git a/atm/make_atm_Kzz_cld.py b/atm/make_atm_Kzz_cld.py
new file mode 100644
index 0000000..8e1cfbd
--- /dev/null
+++ b/atm/make_atm_Kzz_cld.py
@@ -0,0 +1,39 @@
+import numpy as np
+
+line_1 = '#(dyne/cm2) (K) (cm2/s) (cm-3) (um) (cm2)'
+line_2 = 'Pressure Temp Kzz nd rm sig2'
+
+fname = 'atm_GJ1214b_Kzz.txt'
+
+
+data = np.loadtxt(fname,skiprows=2)
+
+p = data[:,0]
+T = data[:,1]
+Kzz = data[:,2]
+
+nz = len(p)
+
+# Set up aerosol component
+
+nd = np.zeros(nz)
+rm = np.zeros(nz)
+sig2 = np.zeros(nz)
+
+
+for i in range(nz):
+ if (p[i]/1e6 < 1e-1):
+ nd[i] = 1e6
+ rm[i] = 1e0
+ sig2[i] = 1.0
+
+fout = 'atm_GJ1214b_Kzz_aer.txt'
+f = open(fout, 'w')
+
+f.write(line_1 + '\n')
+f.write(line_2 + '\n')
+for i in range(nz):
+ f.write(str(p[i]) + ' ' + str(T[i]) + ' ' + str(Kzz[i]) + ' ' + str(nd[i]) + ' ' + str(rm[i]) + ' ' + str(sig2[i]) + '\n')
+
+
+
diff --git a/build_atm.py b/build_atm.py
index a799ab2..309d83d 100644
--- a/build_atm.py
+++ b/build_atm.py
@@ -337,6 +337,9 @@ def load_TPK(self, data_atm):
if self.Kzz_prof == 'file':
atm_table = np.genfromtxt(vulcan_cfg.atm_file, names=True, dtype=None, skip_header=1)
p_file, T_file, Kzz_file = atm_table['Pressure'], atm_table['Temp'], atm_table['Kzz']
+
+ if (vulcan_cfg.use_aer == True):
+ nd_file, rm_file, sig2_file = atm_table['nd'], atm_table['rm'], atm_table['sig2']
else:
atm_table = np.genfromtxt(vulcan_cfg.atm_file, names=True, dtype=None, skip_header=1)
@@ -370,6 +373,32 @@ def load_TPK(self, data_atm):
elif self.Kzz_prof == 'const': data_atm.Kzz = np.repeat(self.const_Kzz,nz-1)
+ if (vulcan_cfg.use_aer == True):
+ PTK_fun['pnd'] = interpolate.interp1d(p_file, nd_file, assume_sorted = False, bounds_error=False, fill_value=(nd_file[np.argmin(p_file)], nd_file[np.argmax(p_file)]) )
+ # store aerosol data in data_atm
+ try:
+ data_atm.nd = PTK_fun['pnd'](data_atm.pco)
+ # for SciPy earlier than v0.18.0
+ except ValueError:
+ PTK_fun['pnd'] = interpolate.interp1d(p_file, nd_file, assume_sorted = False, bounds_error=False, fill_value=nd_file[np.argmin(p_file)] )
+ data_atm.nd = PTK_fun['pnd'](data_atm.pco)
+ PTK_fun['prm'] = interpolate.interp1d(p_file, rm_file, assume_sorted = False, bounds_error=False, fill_value=(rm_file[np.argmin(p_file)], rm_file[np.argmax(p_file)]) )
+ # store aerosol data in data_atm
+ try:
+ data_atm.rm = PTK_fun['prm'](data_atm.pco)
+ # for SciPy earlier than v0.18.0
+ except ValueError:
+ PTK_fun['prm'] = interpolate.interp1d(p_file, rm_file, assume_sorted = False, bounds_error=False, fill_value=rm_file[np.argmin(p_file)] )
+ data_atm.rm = PTK_fun['prm'](data_atm.pco)
+ PTK_fun['psig2'] = interpolate.interp1d(p_file, sig2_file, assume_sorted = False, bounds_error=False, fill_value=(sig2_file[np.argmin(p_file)], sig2_file[np.argmax(p_file)]) )
+ # store aerosol data in data_atm
+ try:
+ data_atm.sig2 = PTK_fun['psig2'](data_atm.pco)
+ # for SciPy earlier than v0.18.0
+ except ValueError:
+ PTK_fun['psig2'] = interpolate.interp1d(p_file, sig2_file, assume_sorted = False, bounds_error=False, fill_value=sig2_file[np.argmin(p_file)] )
+ data_atm.sig2 = PTK_fun['psig2'](data_atm.pco)
+
elif self.type == 'vulcan_ini':
print ("Initializing PT from the prvious run " + vulcan_cfg.vul_ini)
with open(vulcan_cfg.vul_ini, 'rb') as handle:
diff --git a/chem_funs.py b/chem_funs.py
index 2128981..f4815c0 100755
--- a/chem_funs.py
+++ b/chem_funs.py
@@ -11,7 +11,7 @@
# Chemical Network and Photolysis Reactions
#R1
-H + H2O -> OH + H2
+OH + H2 -> H2O + H
#R3
O + H2 -> OH + H
#R5
@@ -237,7 +237,7 @@
#R225
N + C2 -> CN + C
#R227
-H + NO -> OH + N
+N + OH -> NO + H
#R229
H + NH -> H2 + N
#R231
@@ -321,7 +321,7 @@
#R309
NH2 + O -> H2 + NO
#R311
-NH2 + H2O -> NH3 + OH
+NH3 + OH -> NH2 + H2O
#R313
NH2 + NH2 -> NH3 + NH
#R315
@@ -329,233 +329,233 @@
#R317
NH3 + CN -> HCN + NH2
#R319
-NH + H2CN -> HCN + NH2
-#R321
CN + C2H6 -> C2H5 + HCN
-#R323
+#R321
HCN + O -> CO + NH
-#R325
+#R323
NH + NH2 -> N2H2 + H
-#R327
+#R325
NH2 + N2H2 -> NH3 + N2H
-#R329
+#R327
NH2 + N2H3 -> NH3 + N2H2
-#R331
+#R329
N2H2 + H -> N2H + H2
-#R333
+#R331
N2H2 + CH3 -> N2H + CH4
-#R335
+#R333
N2H2 + OH -> N2H + H2O
-#R337
+#R335
N2H3 + H -> N2H2 + H2
-#R339
+#R337
N2H3 + O -> N2H2 + OH
-#R341
+#R339
N2H3 + OH -> N2H2 + H2O
-#R343
+#R341
N2H3 + N2H3 -> N2H4 + N2H2
-#R345
+#R343
N2H + H -> N2 + H2
-#R347
+#R345
N2H + OH -> N2 + H2O
-#R349
+#R347
N2H + O -> N2 + OH
-#R351
+#R349
N2H + NH2 -> N2 + NH3
-#R353
+#R351
NH2 + NO -> N2H + OH
-#R355
+#R353
N2H + NO -> N2 + HNO
-#R357
+#R355
N2H2 + O -> N2H + OH
-#R359
+#R357
NH + N2H2 -> NH2 + N2H
-#R361
+#R359
H2CN + OH -> HCN + H2O
-#R363
+#R361
NO + CH2 -> HNCO + H
-#R365
+#R363
HNCO + H -> CO + NH2
-#R367
+#R365
HCN + OH -> HNCO + H
-#R369
+#R367
CH3 + N -> H2CN + H
-#R371
+#R369
CH3 + N -> HCN + H2
-#R373
+#R371
CH3 + NH2 -> NH3 + CH2
-#R375
+#R373
N2H + O -> NH + NO
-#R377
+#R375
NH2 + NH2 -> N2H2 + H2
-#R379
+#R377
NO + CH3 -> H2CN + OH
-#R381
+#R379
N2H4 + H -> N2H3 + H2
-#R383
+#R381
O + CH3O -> O2 + CH3
-#R385
+#R383
O2 + C -> O + CO
-#R387
+#R385
O2 + CH2 -> H2O + CO
-#R389
+#R387
O2 + CH3 -> OH + H2CO
-#R391
+#R389
O2 + C2H -> CO + HCO
-#R393
+#R391
O2 + C2H3 -> H2CO + HCO
-#R395
+#R393
N + O2 -> NO + O
-#R397
+#R395
NH + O2 -> NO + OH
-#R399
+#R397
NH + O2 -> HNO + O
+#R399
+O2 + NH2 -> HNO + OH
#R401
-NH2 + O2 -> HNO + OH
-#R403
NO2 + O -> NO + O2
-#R405
+#R403
N2O + O -> N2 + O2
-#R407
+#R405
N2O + H -> N2 + OH
-#R409
+#R407
NH + NO -> N2O + H
-#R411
+#R409
NH2 + NO2 -> N2O + H2O
-#R413
+#R411
HNO + HNO -> N2O + H2O
-#R415
+#R413
NO2 + CH3 -> NO + CH3O
-#R417
+#R415
N2H4 + NH2 -> N2H3 + NH3
-#R419
+#R417
C2H + C2H2 -> C4H2 + H
-#R421
+#R419
CH2NH2 + H -> CH2NH + H2
-#R423
+#R421
CH3NH2 + NH2 -> CH2NH2 + NH3
-#R425
+#R423
CH2NH2 + CH3 -> NH2 + C2H5
-#R427
+#R425
CH2NH2 + OH -> CH2OH + NH2
-#R429
+#R427
CH3NH2 + H -> CH2NH2 + H2
-#R431
+#R429
CH2NH + H -> H2CN + H2
-#R433
+#R431
CH3 + NH2 -> CH2NH + H2
-#R435
+#R433
CH3 + NH2 -> CH2NH2 + H
-#R437
+#R435
CH3NH2 + CH3 -> CH2NH2 + CH4
-#R439
+#R437
N2H3 + H -> NH2 + NH2
-#R441
+#R439
CH + H2O -> H2CO + H
-#R443
+#R441
O + C2H5 -> CH3CHO + H
-#R445
+#R443
CH3CHO + H -> H2 + CH3CO
-#R447
+#R445
NH + OH -> HNO + H
-#R449
+#R447
HNO + OH -> NO + H2O
-#R451
+#R449
HNO + O -> NO + OH
-#R453
+#R451
HNO + H -> NO + H2
-#R455
+#R453
NO + CH3O -> HNO + H2CO
-#R457
+#R455
NO + HCO -> HNO + CO
-#R459
+#R457
HNO2 + OH -> NO2 + H2O
-#R461
+#R459
HNO2 + H -> HNO + OH
-#R463
+#R461
HNO2 + H -> NO2 + H2
-#R465
+#R463
HNO2 + H -> NO + H2O
-#R467
+#R465
NH2 + HNO -> NO + NH3
-#R469
+#R467
NCO + HCN -> HNCO + CN
-#R471
+#R469
NCO + NH2 -> HNCO + NH
-#R473
+#R471
NCO + HCO -> HNCO + CO
-#R475
+#R473
CN + CO2 -> CO + NCO
-#R477
+#R475
HCN + O -> NCO + H
-#R479
+#R477
CN + OH -> NCO + H
-#R481
+#R479
HNCO + H -> NCO + H2
-#R483
+#R481
HNCO + O -> NCO + OH
-#R485
+#R483
HNCO + OH -> NCO + H2O
-#R487
+#R485
N2H3 + NH -> N2H2 + NH2
-#R489
+#R487
NH2 + H2CN -> NH3 + HCN
-#R491
+#R489
NH + NH2 -> NH3 + N
-#R493
+#R491
NH2 + O -> HNO + H
-#R495
+#R493
H2 + HNO -> NH + H2O
-#R497
+#R495
HO2 + H -> OH + OH
-#R499
+#R497
HO2 + H -> O + H2O
-#R501
+#R499
HO2 + H -> O2 + H2
-#R503
+#R501
CO + HO2 -> CO2 + OH
-#R505
+#R503
O + H2O2 -> OH + HO2
-#R507
+#R505
OH + H2O2 -> H2O + HO2
-#R509
+#R507
H2O2 + H -> H2 + HO2
-#R511
+#R509
H2O2 + H -> OH + H2O
-#R513
+#R511
O + HO2 -> OH + O2
+#R513
+CH3 + HO2 -> CH4 + O2
#R515
-O2 + CH4 -> CH3 + HO2
+C2H5 + HO2 -> C2H6 + O2
#R517
-O2 + C2H6 -> C2H5 + HO2
-#R519
HCO + O2 -> CO + HO2
-#R521
+#R519
OH + HO2 -> H2O + O2
-#R523
+#R521
H2CN + H -> HCN + H2
-#R525
+#R523
CN + C2H2 -> HC3N + H
-#R527
+#R525
HCN + C2H -> HC3N + H
-#R529
+#R527
H + CH3CN -> HCN + CH3
-#R531
+#R529
H + CH3CN -> CH2CN + H2
-#R533
+#R531
CH3CN + OH -> CH2CN + H2O
-#R535
+#R533
CH3CN + O -> CH2CN + OH
-#R537
+#R535
CN + C2H4 -> C2H3CN + H
-#R539
+#R537
HCN + C2H3 -> C2H3CN + H
-#R541
+#R539
C2H3CN + C2 -> HCN + C4H2
-#R543
+#R541
C2H3CN + C2 -> HC3N + C2H2
-#R545
+#R543
N + C2H3 -> CH2CN + H
+#R545
+CH2CN + O -> HCN + HCO
#R547
HO2 + CH4 -> CH3 + H2O2
#R549
@@ -585,491 +585,569 @@
#R573
CH3 + C2H -> C3H3 + H
#R575
-O_1 + H2 -> OH + H
+NH3 + NH2 -> N2H3 + H2
#R577
-O_1 + CH4 -> OH + CH3
+N2H3 + N2H -> N2H2 + N2H2
#R579
-O_1 + H2O -> OH + OH
+N2H3 + CH3 -> N2H2 + CH4
#R581
-O_1 + CO2 -> O + CO2
+CH3 + C2H2 -> C3H4 + H
#R583
-O_1 + NH3 -> OH + NH2
+CH + C3H3 -> C4H3 + H
#R585
-O_1 + CO -> CO2
+C2H + C2H5 -> C4H5 + H
#R587
-O_1 + NO2 -> O2 + NO
+C2H2 + C4H5 -> C6H6 + H
#R589
-CH2_1 + H2 -> CH3 + H
+C6H5 + H2 -> C6H6 + H
#R591
-CH2_1 + H2 -> CH2 + H2
+C6H5 + CH4 -> C6H6 + CH3
#R593
-CH2_1 + H2O -> CH2 + H2O
+C + C2H2 -> C3H2
#R595
-CH2_1 + CO -> CH2 + CO
+O + C2H4 -> H2CO + CH2
#R597
-CH2_1 + C2H2 -> C3H3 + H
+O + C2H3 -> HCO + CH2
#R599
-N_2D + H2 -> NH + H
+CH3OH + OH -> CH3O + H2O
#R601
-N_2D + H2O -> NH + OH
+CH3OH + OH -> CH2OH + H2O
#R603
-N_2D + NH3 -> NH + NH2
+HO2 + NO -> OH + NO2
#R605
+O2 + H2CO -> HO2 + HCO
+#R607
+N + NO2 -> N2O + O
+#R609
+CH3O + O2 -> H2CO + HO2
+#R611
+CH3 + CN -> CH2CN + H
+#R613
+HO2 + HO2 -> H2O2 + O2
+#R615
+O_1 + C2H6 -> C2H5 + OH
+#R617
+O_1 + H2 -> OH + H
+#R619
+O_1 + CH4 -> OH + CH3
+#R621
+O_1 + H2O -> OH + OH
+#R623
+O_1 + CO2 -> O + CO2
+#R625
+O_1 + NH3 -> OH + NH2
+#R627
+O_1 + CO -> CO2
+#R629
+O_1 + NO2 -> O2 + NO
+#R631
+O_1 + N2 -> O + N2
+#R633
+CH2_1 + H2 -> CH3 + H
+#R635
+CH2_1 + H2 -> CH2 + H2
+#R637
+CH2_1 + H2O -> CH2 + H2O
+#R639
+CH2_1 + CO -> CH2 + CO
+#R641
+CH2_1 + C2H2 -> C3H3 + H
+#R643
+N_2D + H2 -> NH + H
+#R645
+N_2D + H2O -> NH + OH
+#R647
+N_2D + NH3 -> NH + NH2
+#R649
+N_2D + O2 -> NO + O
+#R651
+N_2D + N2O -> N2 + NO
+#R653
+OH + CH3 -> CH2_1 + H2O
+#R655
He -> He
-#M607
+#M657
H + H + M -> H2 + M
-#M609
+#M659
H + O + M -> OH + M
-#M611
+#M661
OH + H + M -> H2O + M
-#M613
+#M663
H + CH + M -> CH2 + M
-#M615
+#M665
H + CH3 + M -> CH4 + M
-#M617
+#M667
H + C2H2 + M -> C2H3 + M
-#M619
+#M669
H + C2H3 + M -> C2H4 + M
-#M621
+#M671
H + C2H4 + M -> C2H5 + M
-#M623
+#M673
H + C2H5 + M -> C2H6 + M
-#M625
+#M675
H2 + C + M -> CH2 + M
-#M627
+#M677
CH + M -> C + H + M
-#M629
+#M679
CH2 + H + M -> CH3 + M
-#M631
+#M681
CH + H2 + M -> CH3 + M
-#M633
+#M683
CH3 + CH3 + M -> C2H6 + M
-#M635
+#M685
C2H + H + M -> C2H2 + M
-#M637
+#M687
C2H4 + M -> C2H2 + H2 + M
-#M639
+#M689
C2H6 + M -> C2H4 + H2 + M
-#M641
+#M691
CO + O + M -> CO2 + M
-#M643
+#M693
CH2OH + M -> H + H2CO + M
-#M645
+#M695
H + CO + M -> HCO + M
-#M647
+#M697
H2O + CH + M -> CH2OH + M
-#M649
+#M699
CH3O + M -> H + H2CO + M
-#M651
+#M701
CH2OH + H + M -> CH3OH + M
-#M653
+#M703
OH + C2H2 + M -> CH3CO + M
-#M655
+#M705
CO + CH3 + M -> CH3CO + M
-#M657
+#M707
HCO + H + M -> H2CO + M
-#M659
+#M709
CO + H2 + M -> H2CO + M
-#M661
+#M711
H + NH2 + M -> NH3 + M
-#M663
+#M713
H + CN + M -> HCN + M
-#M665
+#M715
H2 + N + M -> NH2 + M
-#M667
+#M717
N + N + M -> N2 + M
-#M669
+#M719
N2H3 + M -> N2H2 + H + M
-#M671
+#M721
HCN + H + M -> H2CN + M
-#M673
+#M723
HNCO + M -> CO + NH + M
-#M675
+#M725
NH2 + NH2 + M -> N2H4 + M
-#M677
+#M727
NO + O + M -> NO2 + M
-#M679
+#M729
N2O + M -> N2 + O + M
-#M681
+#M731
N2H + M -> N2 + H + M
-#M683
+#M733
NH2 + CH3 + M -> CH3NH2 + M
-#M685
-NO + H + M -> HNO + M
-#M687
+#M735
+H + NO + M -> HNO + M
+#M737
NO + OH + M -> HNO2 + M
-#M689
+#M739
C + C + M -> C2 + M
-#M691
+#M741
HO2 + HO2 + M -> H2O2 + O2 + M
-#M693
+#M743
OH + OH + M -> H2O2 + M
-#M695
+#M745
H + O2 + M -> HO2 + M
-#M697
+#M747
CH2CN + H + M -> CH3CN + M
-#M699
+#M749
C3H2 + H + M -> C3H3 + M
-#M701
+#M751
C3H3 + C3H3 + M -> C6H6 + M
-#M703
+#M753
+N2H2 + M -> N2H + H + M
+#M755
+C3H3 + H + M -> C3H4 + M
+#M757
+CH2 + C2H2 + M -> C3H4 + M
+#M759
+C6H5 + H + M -> C6H6 + M
+#M761
+C4H2 + H + M -> C4H3 + M
+#M763
+C2H2 + C4H3 + M -> C6H5 + M
+#M765
+C2H2 + C2H3 + M -> C4H5 + M
+#M767
C2H + M -> C2 + H + M
-#M705
+#M769
O + C + M -> CO + M
-#M707
+#M771
NH + M -> H + N + M
-#M709
+#M773
O + N + M -> NO + M
-#M711
-N2H2 + M -> N2H + H + M
-#M713
+#M775
O + O + M -> O2 + M
-#M715
+#M777
HNCO + M -> H + NCO
-#M717
+#M779
N_2D + M -> N + M
-#S719
+#S781
OH + CH3 + M -> CH3OH + M
-#P721
+#P783
H2O -> H + OH
-#P723
+#P785
H2O -> H2 + O_1
-#P725
+#P787
H2O -> H + H + O
-#P727
+#P789
CH4 -> CH3 + H
-#P729
+#P791
CH4 -> CH2_1 + H2
-#P731
+#P793
CH4 -> CH2_1 + H + H
-#P733
+#P795
CH4 -> CH + H2 + H
-#P735
+#P797
CH3 -> CH + H2
-#P737
+#P799
CH3 -> CH2_1 + H
-#P739
+#P801
CO -> C + O
-#P741
+#P803
H2 -> H + H
-#P743
+#P805
C2H2 -> C2H + H
-#P745
+#P807
CO2 -> CO + O
-#P747
+#P809
CO2 -> CO + O_1
-#P749
+#P811
C2H4 -> C2H2 + H2
-#P751
+#P813
C2H4 -> C2H2 + H + H
-#P753
+#P815
C2H4 -> C2H3 + H
-#P755
+#P817
C2H6 -> C2H4 + H2
-#P757
+#P819
C2H6 -> C2H4 + H + H
-#P759
+#P821
C2H6 -> C2H2 + H2 + H2
-#P761
+#P823
C2H6 -> CH4 + CH2_1
-#P763
+#P825
C2H6 -> CH3 + CH3
-#P765
+#P827
OH -> H + O
-#P767
+#P829
HCO -> H + CO
-#P769
+#P831
H2CO -> H2 + CO
-#P771
+#P833
H2CO -> H + HCO
-#P773
+#P835
CH3OH -> CH3 + OH
-#P775
+#P837
CH3OH -> H2CO + H2
-#P777
+#P839
CH3OH -> CH3O + H
-#P779
+#P841
CH3CHO -> CH4 + CO
-#P781
+#P843
CH3CHO -> CH3 + HCO
-#P783
+#P845
N2 -> N + N
-#P785
+#P847
NH3 -> NH2 + H
-#P787
+#P849
NH3 -> NH + H + H
-#P789
+#P851
HCN -> H + CN
-#P791
+#P853
NO -> N + O
-#P793
+#P855
NO2 -> NO + O
-#P795
+#P857
N2H4 -> N2H3 + H
-#P797
+#P859
HNCO -> NH + CO
-#P799
+#P861
HNCO -> H + NCO
-#P801
+#P863
HO2 -> O + OH
-#P803
+#P865
O2 -> O + O
-#P805
+#P867
O2 -> O + O_1
-#P807
-C6H6 -> C3H3 + C3H3
-#P809
-C6H6 -> C2H2 + C2H2 + C2H2
-#P811
+#P869
C4H2 -> C2H2 + C2
-#P813
+#P871
CH2 -> CH + H
+#P873
+C6H6 -> C6H5 + H
+#P875
+C6H6 -> C3H3 + C3H3
+#P877
+HNO2 -> NO + OH
## Mapping ##
-H: y[0], H2O: y[1], OH: y[2], H2: y[3], O: y[4], CH: y[5], C: y[6], CH2: y[7], CH3: y[8], CH4: y[9], C2: y[10], C2H2: y[11], C2H: y[12], C2H3: y[13], C2H4: y[14], C2H5: y[15], C2H6: y[16], CO: y[17], CO2: y[18], CH2OH: y[19], H2CO: y[20], HCO: y[21], CH3O: y[22], CH3OH: y[23], CH3CO: y[24], O2: y[25], H2CCO: y[26], HCCO: y[27], N: y[28], NH: y[29], CN: y[30], HCN: y[31], NO: y[32], NH2: y[33], N2: y[34], NH3: y[35], H2CN: y[36], N2H2: y[37], N2H: y[38], N2H3: y[39], N2H4: y[40], HNO: y[41], HNCO: y[42], NO2: y[43], N2O: y[44], C4H2: y[45], CH2NH2: y[46], CH2NH: y[47], CH3NH2: y[48], CH3CHO: y[49], HNO2: y[50], NCO: y[51], HO2: y[52], H2O2: y[53], HC3N: y[54], CH3CN: y[55], CH2CN: y[56], C2H3CN: y[57], C3H3: y[58], C3H2: y[59], O_1: y[60], CH2_1: y[61], N_2D: y[62], He: y[63], C6H6: y[64],
-
-H 0 -1*v_1(k, M, y[3], y[2], y[1], y[0]) +1*v_3(k, M, y[2], y[4], y[3], y[0]) -1*v_7(k, M, y[6], y[3], y[0], y[5]) -1*v_9(k, M, y[3], y[7], y[0], y[5]) +1*v_11(k, M, y[3], y[7], y[8], y[0]) -1*v_13(k, M, y[3], y[9], y[8], y[0]) +1*v_15(k, M, y[6], y[0], y[10], y[5]) +1*v_17(k, M, y[6], y[11], y[8], y[0]) +1*v_19(k, M, y[11], y[3], y[12], y[0]) +1*v_21(k, M, y[11], y[0], y[7], y[5]) -1*v_23(k, M, y[11], y[3], y[13], y[0]) +1*v_25(k, M, y[14], y[3], y[13], y[0]) +1*v_27(k, M, y[0], y[9], y[14], y[5]) +1*v_29(k, M, y[14], y[7], y[8], y[0]) -1*v_31(k, M, y[15], y[8], y[0]) -1*v_33(k, M, y[15], y[3], y[14], y[0]) -1*v_35(k, M, y[15], y[16], y[3], y[0]) +1*v_37(k, M, y[2], y[0], y[18], y[17]) +1*v_43(k, M, y[0], y[7], y[11]) +1*v_43(k, M, y[0], y[7], y[11]) +1*v_47(k, M, y[7], y[13], y[0]) +1*v_73(k, M, y[0], y[3], y[12], y[10]) +1*v_103(k, M, y[17], y[4], y[0], y[5]) +1*v_111(k, M, y[6], y[2], y[0], y[17]) -1*v_121(k, M, y[19], y[2], y[8], y[0]) -1*v_123(k, M, y[21], y[3], y[20], y[0]) -1*v_131(k, M, y[17], y[3], y[0], y[21]) +1*v_137(k, M, y[4], y[0], y[8], y[20]) -1*v_143(k, M, y[3], y[0], y[22], y[23]) -1*v_145(k, M, y[1], y[0], y[8], y[23]) +1*v_147(k, M, y[0], y[4], y[7], y[17]) +1*v_147(k, M, y[0], y[4], y[7], y[17]) +1*v_149(k, M, y[2], y[7], y[20], y[0]) -1*v_155(k, M, y[3], y[19], y[0], y[23]) -1*v_193(k, M, y[21], y[24], y[8], y[0]) +1*v_197(k, M, y[2], y[4], y[25], y[0]) -1*v_199(k, M, y[20], y[3], y[22], y[0]) -1*v_201(k, M, y[17], y[26], y[8], y[0]) +1*v_203(k, M, y[4], y[26], y[13], y[0]) +1*v_205(k, M, y[27], y[4], y[0], y[11]) -1*v_207(k, M, y[27], y[17], y[7], y[0]) +1*v_219(k, M, y[0], y[28], y[30], y[5]) +1*v_223(k, M, y[7], y[28], y[0], y[31]) -1*v_227(k, M, y[2], y[28], y[32], y[0]) -1*v_229(k, M, y[29], y[28], y[3], y[0]) -1*v_231(k, M, y[29], y[33], y[3], y[0]) +1*v_233(k, M, y[3], y[30], y[0], y[31]) +1*v_259(k, M, y[29], y[4], y[32], y[0]) +1*v_281(k, M, y[29], y[28], y[0], y[34]) +1*v_301(k, M, y[29], y[30], y[0], y[6]) +1*v_305(k, M, y[35], y[33], y[3], y[0]) +1*v_325(k, M, y[29], y[33], y[37], y[0]) -1*v_331(k, M, y[3], y[38], y[37], y[0]) -1*v_337(k, M, y[3], y[39], y[37], y[0]) -1*v_345(k, M, y[38], y[3], y[0], y[34]) +1*v_363(k, M, y[42], y[7], y[32], y[0]) -1*v_365(k, M, y[42], y[33], y[17], y[0]) +1*v_367(k, M, y[42], y[2], y[0], y[31]) +1*v_369(k, M, y[28], y[36], y[8], y[0]) -1*v_381(k, M, y[39], y[3], y[40], y[0]) -1*v_407(k, M, y[2], y[44], y[0], y[34]) +1*v_409(k, M, y[29], y[32], y[44], y[0]) +1*v_419(k, M, y[45], y[0], y[12], y[11]) -1*v_421(k, M, y[46], y[3], y[47], y[0]) -1*v_429(k, M, y[48], y[46], y[3], y[0]) -1*v_431(k, M, y[3], y[0], y[36], y[47]) +1*v_435(k, M, y[33], y[46], y[8], y[0]) -1*v_439(k, M, y[33], y[39], y[0]) +1*v_441(k, M, y[0], y[1], y[20], y[5]) +1*v_443(k, M, y[15], y[49], y[4], y[0]) -1*v_445(k, M, y[49], y[3], y[24], y[0]) +1*v_447(k, M, y[29], y[2], y[41], y[0]) -1*v_453(k, M, y[41], y[3], y[32], y[0]) -1*v_461(k, M, y[2], y[41], y[50], y[0]) -1*v_463(k, M, y[3], y[43], y[50], y[0]) -1*v_465(k, M, y[1], y[50], y[32], y[0]) +1*v_477(k, M, y[4], y[51], y[0], y[31]) +1*v_479(k, M, y[2], y[51], y[30], y[0]) -1*v_481(k, M, y[42], y[3], y[51], y[0]) +1*v_493(k, M, y[33], y[4], y[41], y[0]) -1*v_497(k, M, y[2], y[52], y[0]) -1*v_499(k, M, y[4], y[1], y[52], y[0]) -1*v_501(k, M, y[3], y[25], y[52], y[0]) -1*v_509(k, M, y[3], y[52], y[53], y[0]) -1*v_511(k, M, y[2], y[1], y[53], y[0]) -1*v_523(k, M, y[3], y[36], y[0], y[31]) +1*v_525(k, M, y[0], y[30], y[11], y[54]) +1*v_527(k, M, y[0], y[12], y[54], y[31]) -1*v_529(k, M, y[55], y[8], y[0], y[31]) -1*v_531(k, M, y[3], y[55], y[56], y[0]) +1*v_537(k, M, y[14], y[57], y[30], y[0]) +1*v_539(k, M, y[57], y[13], y[0], y[31]) +1*v_545(k, M, y[28], y[13], y[0], y[56]) +1*v_563(k, M, y[59], y[28], y[54], y[0]) +1*v_567(k, M, y[58], y[0], y[7], y[11]) +1*v_569(k, M, y[59], y[7], y[12], y[0]) +1*v_571(k, M, y[11], y[0], y[59], y[5]) +1*v_573(k, M, y[58], y[0], y[8], y[12]) +1*v_575(k, M, y[2], y[3], y[60], y[0]) +1*v_589(k, M, y[61], y[3], y[8], y[0]) +1*v_597(k, M, y[61], y[58], y[0], y[11]) +1*v_599(k, M, y[3], y[0], y[62], y[29]) -1*v_607(k, M, y[3], y[0]) -1*v_607(k, M, y[3], y[0]) -1*v_609(k, M, y[4], y[0], y[2]) -1*v_611(k, M, y[2], y[1], y[0]) -1*v_613(k, M, y[7], y[0], y[5]) -1*v_615(k, M, y[9], y[8], y[0]) -1*v_617(k, M, y[11], y[13], y[0]) -1*v_619(k, M, y[14], y[13], y[0]) -1*v_621(k, M, y[14], y[0], y[15]) -1*v_623(k, M, y[15], y[16], y[0]) +1*v_627(k, M, y[0], y[5], y[6]) -1*v_629(k, M, y[7], y[8], y[0]) -1*v_635(k, M, y[11], y[12], y[0]) +1*v_643(k, M, y[19], y[20], y[0]) -1*v_645(k, M, y[17], y[21], y[0]) +1*v_649(k, M, y[20], y[22], y[0]) -1*v_651(k, M, y[19], y[23], y[0]) -1*v_657(k, M, y[0], y[20], y[21]) -1*v_661(k, M, y[33], y[35], y[0]) -1*v_663(k, M, y[30], y[0], y[31]) +1*v_669(k, M, y[39], y[37], y[0]) -1*v_671(k, M, y[36], y[0], y[31]) +1*v_681(k, M, y[38], y[0], y[34]) -1*v_685(k, M, y[41], y[32], y[0]) -1*v_695(k, M, y[25], y[52], y[0]) -1*v_697(k, M, y[55], y[56], y[0]) -1*v_699(k, M, y[59], y[58], y[0]) +1*v_703(k, M, y[0], y[12], y[10]) +1*v_707(k, M, y[29], y[28], y[0]) +1*v_711(k, M, y[38], y[37], y[0]) +1*v_715(k, M, y[42], y[51], y[0]) +1*v_721(k, M, y[2], y[1], y[0]) +1*v_725(k, M, y[4], y[1], y[0]) +1*v_725(k, M, y[4], y[1], y[0]) +1*v_727(k, M, y[9], y[8], y[0]) +1*v_731(k, M, y[61], y[9], y[0]) +1*v_731(k, M, y[61], y[9], y[0]) +1*v_733(k, M, y[3], y[0], y[9], y[5]) +1*v_737(k, M, y[61], y[8], y[0]) +1*v_741(k, M, y[3], y[0]) +1*v_741(k, M, y[3], y[0]) +1*v_743(k, M, y[0], y[12], y[11]) +1*v_751(k, M, y[0], y[14], y[11]) +1*v_751(k, M, y[0], y[14], y[11]) +1*v_753(k, M, y[13], y[14], y[0]) +1*v_757(k, M, y[16], y[14], y[0]) +1*v_757(k, M, y[16], y[14], y[0]) +1*v_765(k, M, y[4], y[2], y[0]) +1*v_767(k, M, y[17], y[0], y[21]) +1*v_771(k, M, y[21], y[20], y[0]) +1*v_777(k, M, y[0], y[22], y[23]) +1*v_785(k, M, y[35], y[33], y[0]) +1*v_787(k, M, y[35], y[29], y[0]) +1*v_787(k, M, y[35], y[29], y[0]) +1*v_789(k, M, y[30], y[0], y[31]) +1*v_795(k, M, y[39], y[40], y[0]) +1*v_799(k, M, y[42], y[51], y[0]) +1*v_813(k, M, y[0], y[7], y[5])
-H2O 1 -1*v_1(k, M, y[3], y[2], y[1], y[0]) -1*v_5(k, M, y[2], y[4], y[1]) +1*v_53(k, M, y[2], y[7], y[8], y[1]) -1*v_85(k, M, y[2], y[1], y[12], y[11]) +1*v_93(k, M, y[2], y[13], y[14], y[1]) +1*v_99(k, M, y[15], y[16], y[2], y[1]) +1*v_113(k, M, y[2], y[7], y[1], y[5]) +1*v_115(k, M, y[2], y[9], y[8], y[1]) +1*v_117(k, M, y[2], y[1], y[13], y[11]) +1*v_119(k, M, y[15], y[2], y[1], y[14]) +1*v_133(k, M, y[17], y[2], y[1], y[21]) +1*v_141(k, M, y[2], y[1], y[22], y[20]) +1*v_145(k, M, y[1], y[0], y[8], y[23]) +1*v_263(k, M, y[29], y[28], y[2], y[1]) +1*v_267(k, M, y[2], y[1], y[30], y[31]) +1*v_273(k, M, y[29], y[33], y[2], y[1]) +1*v_293(k, M, y[1], y[32], y[8], y[31]) +1*v_297(k, M, y[33], y[1], y[32], y[34]) -1*v_311(k, M, y[35], y[33], y[2], y[1]) +1*v_335(k, M, y[38], y[2], y[37], y[1]) +1*v_341(k, M, y[2], y[39], y[37], y[1]) +1*v_347(k, M, y[2], y[38], y[1], y[34]) +1*v_361(k, M, y[2], y[1], y[36], y[31]) +1*v_387(k, M, y[17], y[7], y[25], y[1]) +1*v_411(k, M, y[33], y[1], y[44], y[43]) +1*v_413(k, M, y[41], y[1], y[44]) -1*v_441(k, M, y[0], y[1], y[20], y[5]) +1*v_449(k, M, y[2], y[41], y[1], y[32]) +1*v_459(k, M, y[1], y[2], y[50], y[43]) +1*v_465(k, M, y[1], y[50], y[32], y[0]) +1*v_485(k, M, y[42], y[2], y[51], y[1]) +1*v_495(k, M, y[29], y[41], y[3], y[1]) +1*v_499(k, M, y[4], y[1], y[52], y[0]) +1*v_507(k, M, y[2], y[1], y[52], y[53]) +1*v_511(k, M, y[2], y[1], y[53], y[0]) +1*v_521(k, M, y[2], y[1], y[25], y[52]) +1*v_533(k, M, y[2], y[55], y[56], y[1]) -1*v_579(k, M, y[2], y[1], y[60]) -1*v_593(k, M, y[61], y[7], y[1]) +1*v_593(k, M, y[61], y[7], y[1]) -1*v_601(k, M, y[29], y[2], y[62], y[1]) +1*v_611(k, M, y[2], y[1], y[0]) -1*v_647(k, M, y[19], y[1], y[5]) -1*v_721(k, M, y[2], y[1], y[0]) -1*v_723(k, M, y[3], y[1], y[60]) -1*v_725(k, M, y[4], y[1], y[0])
-OH 2 +1*v_1(k, M, y[3], y[2], y[1], y[0]) +1*v_3(k, M, y[2], y[4], y[3], y[0]) +1*v_5(k, M, y[2], y[4], y[1]) +1*v_5(k, M, y[2], y[4], y[1]) -1*v_37(k, M, y[2], y[0], y[18], y[17]) -1*v_53(k, M, y[2], y[7], y[8], y[1]) -1*v_55(k, M, y[2], y[7], y[12], y[17]) -1*v_71(k, M, y[17], y[2], y[8], y[11]) -1*v_83(k, M, y[4], y[2], y[12], y[11]) +1*v_85(k, M, y[2], y[1], y[12], y[11]) -1*v_93(k, M, y[2], y[13], y[14], y[1]) -1*v_99(k, M, y[15], y[16], y[2], y[1]) +1*v_101(k, M, y[2], y[4], y[5], y[6]) +1*v_105(k, M, y[2], y[4], y[7], y[8]) -1*v_107(k, M, y[4], y[2], y[9], y[8]) +1*v_109(k, M, y[2], y[16], y[4], y[15]) -1*v_111(k, M, y[6], y[2], y[0], y[17]) -1*v_113(k, M, y[2], y[7], y[1], y[5]) -1*v_115(k, M, y[2], y[9], y[8], y[1]) -1*v_117(k, M, y[2], y[1], y[13], y[11]) -1*v_119(k, M, y[15], y[2], y[1], y[14]) +1*v_121(k, M, y[19], y[2], y[8], y[0]) -1*v_133(k, M, y[17], y[2], y[1], y[21]) +1*v_139(k, M, y[2], y[4], y[22], y[20]) -1*v_141(k, M, y[2], y[1], y[22], y[20]) -1*v_149(k, M, y[2], y[7], y[20], y[0]) +1*v_167(k, M, y[2], y[4], y[13], y[11]) +1*v_177(k, M, y[19], y[2], y[7], y[14]) -1*v_197(k, M, y[2], y[4], y[25], y[0]) +1*v_209(k, M, y[2], y[4], y[20], y[21]) +1*v_227(k, M, y[2], y[28], y[32], y[0]) +1*v_257(k, M, y[29], y[4], y[28], y[2]) +1*v_261(k, M, y[35], y[33], y[4], y[2]) -1*v_263(k, M, y[29], y[28], y[2], y[1]) -1*v_265(k, M, y[4], y[2], y[30], y[31]) -1*v_267(k, M, y[2], y[1], y[30], y[31]) -1*v_269(k, M, y[33], y[2], y[17], y[31]) -1*v_271(k, M, y[29], y[4], y[2], y[33]) -1*v_273(k, M, y[29], y[33], y[2], y[1]) +1*v_295(k, M, y[29], y[2], y[32], y[34]) +1*v_311(k, M, y[35], y[33], y[2], y[1]) -1*v_335(k, M, y[38], y[2], y[37], y[1]) +1*v_339(k, M, y[2], y[4], y[39], y[37]) -1*v_341(k, M, y[2], y[39], y[37], y[1]) -1*v_347(k, M, y[2], y[38], y[1], y[34]) +1*v_349(k, M, y[2], y[4], y[38], y[34]) +1*v_353(k, M, y[2], y[33], y[38], y[32]) +1*v_357(k, M, y[2], y[38], y[4], y[37]) -1*v_361(k, M, y[2], y[1], y[36], y[31]) -1*v_367(k, M, y[42], y[2], y[0], y[31]) +1*v_379(k, M, y[36], y[2], y[32], y[8]) +1*v_389(k, M, y[2], y[25], y[8], y[20]) +1*v_397(k, M, y[29], y[32], y[25], y[2]) +1*v_401(k, M, y[2], y[33], y[41], y[25]) +1*v_407(k, M, y[2], y[44], y[0], y[34]) -1*v_427(k, M, y[2], y[19], y[46], y[33]) -1*v_447(k, M, y[29], y[2], y[41], y[0]) -1*v_449(k, M, y[2], y[41], y[1], y[32]) +1*v_451(k, M, y[2], y[4], y[41], y[32]) -1*v_459(k, M, y[1], y[2], y[50], y[43]) +1*v_461(k, M, y[2], y[41], y[50], y[0]) -1*v_479(k, M, y[2], y[51], y[30], y[0]) +1*v_483(k, M, y[42], y[4], y[51], y[2]) -1*v_485(k, M, y[42], y[2], y[51], y[1]) +1*v_497(k, M, y[2], y[52], y[0]) +1*v_497(k, M, y[2], y[52], y[0]) +1*v_503(k, M, y[2], y[18], y[52], y[17]) +1*v_505(k, M, y[2], y[4], y[52], y[53]) -1*v_507(k, M, y[2], y[1], y[52], y[53]) +1*v_511(k, M, y[2], y[1], y[53], y[0]) +1*v_513(k, M, y[2], y[4], y[25], y[52]) -1*v_521(k, M, y[2], y[1], y[25], y[52]) -1*v_533(k, M, y[2], y[55], y[56], y[1]) +1*v_535(k, M, y[2], y[4], y[55], y[56]) -1*v_557(k, M, y[58], y[2], y[13], y[21]) +1*v_559(k, M, y[19], y[2], y[58], y[12]) +1*v_575(k, M, y[2], y[3], y[60], y[0]) +1*v_577(k, M, y[2], y[9], y[60], y[8]) +1*v_579(k, M, y[2], y[1], y[60]) +1*v_579(k, M, y[2], y[1], y[60]) +1*v_583(k, M, y[35], y[33], y[2], y[60]) +1*v_601(k, M, y[29], y[2], y[62], y[1]) +1*v_609(k, M, y[4], y[0], y[2]) -1*v_611(k, M, y[2], y[1], y[0]) -1*v_653(k, M, y[2], y[24], y[11]) -1*v_687(k, M, y[2], y[50], y[32]) -1*v_693(k, M, y[2], y[53]) -1*v_693(k, M, y[2], y[53]) -1*v_719(k, M, y[2], y[8], y[23]) +1*v_721(k, M, y[2], y[1], y[0]) -1*v_765(k, M, y[4], y[2], y[0]) +1*v_773(k, M, y[2], y[8], y[23]) +1*v_801(k, M, y[2], y[4], y[52])
-H2 3 +1*v_1(k, M, y[3], y[2], y[1], y[0]) -1*v_3(k, M, y[2], y[4], y[3], y[0]) +1*v_7(k, M, y[6], y[3], y[0], y[5]) +1*v_9(k, M, y[3], y[7], y[0], y[5]) -1*v_11(k, M, y[3], y[7], y[8], y[0]) +1*v_13(k, M, y[3], y[9], y[8], y[0]) -1*v_19(k, M, y[11], y[3], y[12], y[0]) +1*v_23(k, M, y[11], y[3], y[13], y[0]) -1*v_25(k, M, y[14], y[3], y[13], y[0]) +1*v_33(k, M, y[15], y[3], y[14], y[0]) +1*v_35(k, M, y[15], y[16], y[3], y[0]) +1*v_39(k, M, y[11], y[3], y[8], y[5]) -1*v_73(k, M, y[0], y[3], y[12], y[10]) +1*v_123(k, M, y[21], y[3], y[20], y[0]) +1*v_131(k, M, y[17], y[3], y[0], y[21]) +1*v_143(k, M, y[3], y[0], y[22], y[23]) +1*v_155(k, M, y[3], y[19], y[0], y[23]) +1*v_173(k, M, y[3], y[4], y[7], y[17]) +1*v_199(k, M, y[20], y[3], y[22], y[0]) +1*v_229(k, M, y[29], y[28], y[3], y[0]) +1*v_231(k, M, y[29], y[33], y[3], y[0]) -1*v_233(k, M, y[3], y[30], y[0], y[31]) +1*v_303(k, M, y[29], y[3], y[34]) -1*v_305(k, M, y[35], y[33], y[3], y[0]) +1*v_309(k, M, y[33], y[4], y[3], y[32]) +1*v_331(k, M, y[3], y[38], y[37], y[0]) +1*v_337(k, M, y[3], y[39], y[37], y[0]) +1*v_345(k, M, y[38], y[3], y[0], y[34]) +1*v_371(k, M, y[3], y[28], y[8], y[31]) +1*v_377(k, M, y[3], y[33], y[37]) +1*v_381(k, M, y[39], y[3], y[40], y[0]) +1*v_421(k, M, y[46], y[3], y[47], y[0]) +1*v_429(k, M, y[48], y[46], y[3], y[0]) +1*v_431(k, M, y[3], y[0], y[36], y[47]) +1*v_433(k, M, y[33], y[3], y[8], y[47]) +1*v_445(k, M, y[49], y[3], y[24], y[0]) +1*v_453(k, M, y[41], y[3], y[32], y[0]) +1*v_463(k, M, y[3], y[43], y[50], y[0]) +1*v_481(k, M, y[42], y[3], y[51], y[0]) -1*v_495(k, M, y[29], y[41], y[3], y[1]) +1*v_501(k, M, y[3], y[25], y[52], y[0]) +1*v_509(k, M, y[3], y[52], y[53], y[0]) +1*v_523(k, M, y[3], y[36], y[0], y[31]) +1*v_531(k, M, y[3], y[55], y[56], y[0]) +1*v_551(k, M, y[35], y[38], y[28], y[3]) +1*v_561(k, M, y[3], y[58], y[28], y[54]) +1*v_565(k, M, y[59], y[3], y[7], y[11]) -1*v_575(k, M, y[2], y[3], y[60], y[0]) -1*v_589(k, M, y[61], y[3], y[8], y[0]) -1*v_591(k, M, y[61], y[7], y[3]) +1*v_591(k, M, y[61], y[7], y[3]) -1*v_599(k, M, y[3], y[0], y[62], y[29]) +1*v_607(k, M, y[3], y[0]) -1*v_625(k, M, y[6], y[7], y[3]) -1*v_631(k, M, y[3], y[8], y[5]) +1*v_637(k, M, y[3], y[14], y[11]) +1*v_639(k, M, y[16], y[3], y[14]) -1*v_659(k, M, y[3], y[20], y[17]) -1*v_665(k, M, y[28], y[3], y[33]) +1*v_723(k, M, y[3], y[1], y[60]) +1*v_729(k, M, y[61], y[3], y[9]) +1*v_733(k, M, y[3], y[0], y[9], y[5]) +1*v_735(k, M, y[3], y[8], y[5]) -1*v_741(k, M, y[3], y[0]) +1*v_749(k, M, y[3], y[14], y[11]) +1*v_755(k, M, y[16], y[3], y[14]) +1*v_759(k, M, y[16], y[3], y[11]) +1*v_759(k, M, y[16], y[3], y[11]) +1*v_769(k, M, y[3], y[20], y[17]) +1*v_775(k, M, y[3], y[20], y[23])
-O 4 -1*v_3(k, M, y[2], y[4], y[3], y[0]) -1*v_5(k, M, y[2], y[4], y[1]) -1*v_41(k, M, y[6], y[17], y[4], y[10]) -1*v_57(k, M, y[17], y[4], y[7], y[11]) -1*v_81(k, M, y[17], y[4], y[12], y[5]) +1*v_83(k, M, y[4], y[2], y[12], y[11]) -1*v_101(k, M, y[2], y[4], y[5], y[6]) -1*v_103(k, M, y[17], y[4], y[0], y[5]) -1*v_105(k, M, y[2], y[4], y[7], y[8]) +1*v_107(k, M, y[4], y[2], y[9], y[8]) -1*v_109(k, M, y[2], y[16], y[4], y[15]) -1*v_125(k, M, y[4], y[8], y[14], y[21]) -1*v_137(k, M, y[4], y[0], y[8], y[20]) -1*v_139(k, M, y[2], y[4], y[22], y[20]) -1*v_147(k, M, y[0], y[4], y[7], y[17]) -1*v_167(k, M, y[2], y[4], y[13], y[11]) -1*v_173(k, M, y[3], y[4], y[7], y[17]) -1*v_197(k, M, y[2], y[4], y[25], y[0]) -1*v_203(k, M, y[4], y[26], y[13], y[0]) -1*v_205(k, M, y[27], y[4], y[0], y[11]) -1*v_209(k, M, y[2], y[4], y[20], y[21]) -1*v_257(k, M, y[29], y[4], y[28], y[2]) -1*v_259(k, M, y[29], y[4], y[32], y[0]) -1*v_261(k, M, y[35], y[33], y[4], y[2]) +1*v_265(k, M, y[4], y[2], y[30], y[31]) +1*v_271(k, M, y[29], y[4], y[2], y[33]) -1*v_275(k, M, y[4], y[28], y[30], y[17]) +1*v_279(k, M, y[4], y[28], y[32], y[34]) +1*v_287(k, M, y[6], y[4], y[32], y[30]) +1*v_289(k, M, y[4], y[32], y[5], y[31]) -1*v_309(k, M, y[33], y[4], y[3], y[32]) -1*v_323(k, M, y[29], y[4], y[17], y[31]) -1*v_339(k, M, y[2], y[4], y[39], y[37]) -1*v_349(k, M, y[2], y[4], y[38], y[34]) -1*v_357(k, M, y[2], y[38], y[4], y[37]) -1*v_375(k, M, y[29], y[4], y[38], y[32]) -1*v_383(k, M, y[4], y[8], y[25], y[22]) +1*v_385(k, M, y[6], y[4], y[25], y[17]) +1*v_395(k, M, y[4], y[32], y[28], y[25]) +1*v_399(k, M, y[29], y[4], y[41], y[25]) -1*v_403(k, M, y[25], y[4], y[32], y[43]) -1*v_405(k, M, y[25], y[4], y[44], y[34]) -1*v_443(k, M, y[15], y[49], y[4], y[0]) -1*v_451(k, M, y[2], y[4], y[41], y[32]) -1*v_477(k, M, y[4], y[51], y[0], y[31]) -1*v_483(k, M, y[42], y[4], y[51], y[2]) -1*v_493(k, M, y[33], y[4], y[41], y[0]) +1*v_499(k, M, y[4], y[1], y[52], y[0]) -1*v_505(k, M, y[2], y[4], y[52], y[53]) -1*v_513(k, M, y[2], y[4], y[25], y[52]) -1*v_535(k, M, y[2], y[4], y[55], y[56]) +1*v_581(k, M, y[4], y[18], y[60]) -1*v_609(k, M, y[4], y[0], y[2]) -1*v_641(k, M, y[4], y[18], y[17]) -1*v_677(k, M, y[4], y[32], y[43]) +1*v_679(k, M, y[4], y[44], y[34]) -1*v_705(k, M, y[6], y[17], y[4]) -1*v_709(k, M, y[4], y[28], y[32]) -1*v_713(k, M, y[4], y[25]) -1*v_713(k, M, y[4], y[25]) +1*v_725(k, M, y[4], y[1], y[0]) +1*v_739(k, M, y[6], y[4], y[17]) +1*v_745(k, M, y[4], y[18], y[17]) +1*v_765(k, M, y[4], y[2], y[0]) +1*v_791(k, M, y[4], y[28], y[32]) +1*v_793(k, M, y[4], y[32], y[43]) +1*v_801(k, M, y[2], y[4], y[52]) +1*v_803(k, M, y[4], y[25]) +1*v_803(k, M, y[4], y[25]) +1*v_805(k, M, y[4], y[25], y[60])
-CH 5 -1*v_7(k, M, y[6], y[3], y[0], y[5]) +1*v_9(k, M, y[3], y[7], y[0], y[5]) -1*v_15(k, M, y[6], y[0], y[10], y[5]) -1*v_21(k, M, y[11], y[0], y[7], y[5]) -1*v_27(k, M, y[0], y[9], y[14], y[5]) -1*v_39(k, M, y[11], y[3], y[8], y[5]) +1*v_45(k, M, y[7], y[8], y[5]) +1*v_77(k, M, y[11], y[7], y[12], y[5]) +1*v_81(k, M, y[17], y[4], y[12], y[5]) -1*v_101(k, M, y[2], y[4], y[5], y[6]) -1*v_103(k, M, y[17], y[4], y[0], y[5]) +1*v_113(k, M, y[2], y[7], y[1], y[5]) -1*v_135(k, M, y[17], y[21], y[18], y[5]) -1*v_169(k, M, y[11], y[8], y[14], y[5]) -1*v_217(k, M, y[29], y[28], y[5], y[6]) -1*v_219(k, M, y[0], y[28], y[30], y[5]) +1*v_221(k, M, y[29], y[7], y[28], y[5]) +1*v_235(k, M, y[7], y[30], y[5], y[31]) -1*v_289(k, M, y[4], y[32], y[5], y[31]) -1*v_291(k, M, y[17], y[29], y[32], y[5]) -1*v_315(k, M, y[35], y[33], y[7], y[5]) -1*v_441(k, M, y[0], y[1], y[20], y[5]) -1*v_571(k, M, y[11], y[0], y[59], y[5]) -1*v_613(k, M, y[7], y[0], y[5]) -1*v_627(k, M, y[0], y[5], y[6]) -1*v_631(k, M, y[3], y[8], y[5]) -1*v_647(k, M, y[19], y[1], y[5]) +1*v_733(k, M, y[3], y[0], y[9], y[5]) +1*v_735(k, M, y[3], y[8], y[5]) +1*v_813(k, M, y[0], y[7], y[5])
-C 6 +1*v_7(k, M, y[6], y[3], y[0], y[5]) -1*v_15(k, M, y[6], y[0], y[10], y[5]) -1*v_17(k, M, y[6], y[11], y[8], y[0]) +1*v_41(k, M, y[6], y[17], y[4], y[10]) +1*v_101(k, M, y[2], y[4], y[5], y[6]) -1*v_111(k, M, y[6], y[2], y[0], y[17]) +1*v_217(k, M, y[29], y[28], y[5], y[6]) +1*v_225(k, M, y[6], y[28], y[30], y[10]) +1*v_283(k, M, y[6], y[28], y[30], y[34]) -1*v_287(k, M, y[6], y[4], y[32], y[30]) -1*v_301(k, M, y[29], y[30], y[0], y[6]) -1*v_385(k, M, y[6], y[4], y[25], y[17]) -1*v_625(k, M, y[6], y[7], y[3]) +1*v_627(k, M, y[0], y[5], y[6]) -1*v_689(k, M, y[6], y[10]) -1*v_689(k, M, y[6], y[10]) -1*v_705(k, M, y[6], y[17], y[4]) +1*v_739(k, M, y[6], y[4], y[17])
-CH2 7 -1*v_9(k, M, y[3], y[7], y[0], y[5]) -1*v_11(k, M, y[3], y[7], y[8], y[0]) -1*v_21(k, M, y[11], y[0], y[7], y[5]) -1*v_29(k, M, y[14], y[7], y[8], y[0]) -1*v_43(k, M, y[0], y[7], y[11]) -1*v_43(k, M, y[0], y[7], y[11]) -1*v_45(k, M, y[7], y[8], y[5]) -1*v_45(k, M, y[7], y[8], y[5]) -1*v_47(k, M, y[7], y[13], y[0]) -1*v_47(k, M, y[7], y[13], y[0]) -1*v_49(k, M, y[7], y[8], y[9]) -1*v_51(k, M, y[15], y[14], y[7], y[8]) +1*v_53(k, M, y[2], y[7], y[8], y[1]) +1*v_55(k, M, y[2], y[7], y[12], y[17]) +1*v_57(k, M, y[17], y[4], y[7], y[11]) +1*v_59(k, M, y[11], y[7], y[8], y[12]) -1*v_77(k, M, y[11], y[7], y[12], y[5]) +1*v_105(k, M, y[2], y[4], y[7], y[8]) -1*v_113(k, M, y[2], y[7], y[1], y[5]) -1*v_147(k, M, y[0], y[4], y[7], y[17]) -1*v_149(k, M, y[2], y[7], y[20], y[0]) -1*v_151(k, M, y[20], y[7], y[18], y[17]) -1*v_171(k, M, y[7], y[13], y[11], y[8]) -1*v_173(k, M, y[3], y[4], y[7], y[17]) -1*v_175(k, M, y[17], y[7], y[8], y[21]) -1*v_177(k, M, y[19], y[2], y[7], y[14]) -1*v_179(k, M, y[19], y[7], y[20], y[8]) -1*v_181(k, M, y[20], y[7], y[22], y[8]) -1*v_183(k, M, y[7], y[22], y[23], y[8]) -1*v_185(k, M, y[19], y[7], y[8], y[23]) +1*v_207(k, M, y[27], y[17], y[7], y[0]) -1*v_221(k, M, y[29], y[7], y[28], y[5]) -1*v_223(k, M, y[7], y[28], y[0], y[31]) -1*v_235(k, M, y[7], y[30], y[5], y[31]) +1*v_241(k, M, y[30], y[7], y[8], y[31]) -1*v_285(k, M, y[29], y[31], y[7], y[34]) +1*v_315(k, M, y[35], y[33], y[7], y[5]) -1*v_363(k, M, y[42], y[7], y[32], y[0]) +1*v_373(k, M, y[35], y[33], y[7], y[8]) -1*v_387(k, M, y[17], y[7], y[25], y[1]) -1*v_565(k, M, y[59], y[3], y[7], y[11]) -1*v_567(k, M, y[58], y[0], y[7], y[11]) -1*v_569(k, M, y[59], y[7], y[12], y[0]) +1*v_591(k, M, y[61], y[7], y[3]) +1*v_593(k, M, y[61], y[7], y[1]) +1*v_595(k, M, y[61], y[7], y[17]) +1*v_613(k, M, y[7], y[0], y[5]) +1*v_625(k, M, y[6], y[7], y[3]) -1*v_629(k, M, y[7], y[8], y[0]) -1*v_813(k, M, y[0], y[7], y[5])
-CH3 8 +1*v_11(k, M, y[3], y[7], y[8], y[0]) +1*v_13(k, M, y[3], y[9], y[8], y[0]) -1*v_17(k, M, y[6], y[11], y[8], y[0]) -1*v_29(k, M, y[14], y[7], y[8], y[0]) +1*v_31(k, M, y[15], y[8], y[0]) +1*v_31(k, M, y[15], y[8], y[0]) -1*v_39(k, M, y[11], y[3], y[8], y[5]) +1*v_45(k, M, y[7], y[8], y[5]) +1*v_49(k, M, y[7], y[8], y[9]) +1*v_49(k, M, y[7], y[8], y[9]) +1*v_51(k, M, y[15], y[14], y[7], y[8]) -1*v_53(k, M, y[2], y[7], y[8], y[1]) -1*v_59(k, M, y[11], y[7], y[8], y[12]) +1*v_61(k, M, y[11], y[9], y[12], y[8]) -1*v_63(k, M, y[11], y[13], y[8], y[9]) +1*v_65(k, M, y[14], y[9], y[13], y[8]) -1*v_67(k, M, y[15], y[14], y[9], y[8]) -1*v_69(k, M, y[15], y[16], y[9], y[8]) +1*v_71(k, M, y[17], y[2], y[8], y[11]) +1*v_75(k, M, y[12], y[9], y[8], y[10]) -1*v_105(k, M, y[2], y[4], y[7], y[8]) -1*v_107(k, M, y[4], y[2], y[9], y[8]) +1*v_115(k, M, y[2], y[9], y[8], y[1]) +1*v_121(k, M, y[19], y[2], y[8], y[0]) +1*v_125(k, M, y[4], y[8], y[14], y[21]) -1*v_127(k, M, y[21], y[8], y[20], y[9]) -1*v_129(k, M, y[19], y[20], y[9], y[8]) -1*v_137(k, M, y[4], y[0], y[8], y[20]) +1*v_145(k, M, y[1], y[0], y[8], y[23]) +1*v_153(k, M, y[8], y[18], y[22], y[17]) +1*v_169(k, M, y[11], y[8], y[14], y[5]) +1*v_171(k, M, y[7], y[13], y[11], y[8]) +1*v_175(k, M, y[17], y[7], y[8], y[21]) +1*v_179(k, M, y[19], y[7], y[20], y[8]) +1*v_181(k, M, y[20], y[7], y[22], y[8]) +1*v_183(k, M, y[7], y[22], y[23], y[8]) +1*v_185(k, M, y[19], y[7], y[8], y[23]) -1*v_187(k, M, y[17], y[9], y[8], y[21]) -1*v_189(k, M, y[20], y[8], y[22], y[9]) -1*v_191(k, M, y[22], y[9], y[8], y[23]) +1*v_193(k, M, y[21], y[24], y[8], y[0]) -1*v_195(k, M, y[16], y[24], y[8], y[17]) +1*v_201(k, M, y[17], y[26], y[8], y[0]) -1*v_237(k, M, y[29], y[28], y[9], y[8]) -1*v_239(k, M, y[29], y[33], y[9], y[8]) -1*v_241(k, M, y[30], y[7], y[8], y[31]) +1*v_243(k, M, y[9], y[30], y[8], y[31]) -1*v_293(k, M, y[1], y[32], y[8], y[31]) +1*v_307(k, M, y[35], y[33], y[9], y[8]) -1*v_333(k, M, y[38], y[37], y[8], y[9]) -1*v_369(k, M, y[28], y[36], y[8], y[0]) -1*v_371(k, M, y[3], y[28], y[8], y[31]) -1*v_373(k, M, y[35], y[33], y[7], y[8]) -1*v_379(k, M, y[36], y[2], y[32], y[8]) +1*v_383(k, M, y[4], y[8], y[25], y[22]) -1*v_389(k, M, y[2], y[25], y[8], y[20]) -1*v_415(k, M, y[22], y[32], y[8], y[43]) -1*v_425(k, M, y[15], y[33], y[46], y[8]) -1*v_433(k, M, y[33], y[3], y[8], y[47]) -1*v_435(k, M, y[33], y[46], y[8], y[0]) -1*v_437(k, M, y[48], y[46], y[9], y[8]) +1*v_515(k, M, y[9], y[25], y[8], y[52]) +1*v_529(k, M, y[55], y[8], y[0], y[31]) +1*v_547(k, M, y[53], y[9], y[52], y[8]) +1*v_553(k, M, y[15], y[58], y[8], y[12]) +1*v_555(k, M, y[58], y[8], y[13]) -1*v_573(k, M, y[58], y[0], y[8], y[12]) +1*v_577(k, M, y[2], y[9], y[60], y[8]) +1*v_589(k, M, y[61], y[3], y[8], y[0]) -1*v_615(k, M, y[9], y[8], y[0]) +1*v_629(k, M, y[7], y[8], y[0]) +1*v_631(k, M, y[3], y[8], y[5]) -1*v_633(k, M, y[16], y[8]) -1*v_633(k, M, y[16], y[8]) -1*v_655(k, M, y[24], y[8], y[17]) -1*v_683(k, M, y[33], y[8], y[48]) -1*v_719(k, M, y[2], y[8], y[23]) +1*v_727(k, M, y[9], y[8], y[0]) -1*v_735(k, M, y[3], y[8], y[5]) -1*v_737(k, M, y[61], y[8], y[0]) +1*v_763(k, M, y[16], y[8]) +1*v_763(k, M, y[16], y[8]) +1*v_773(k, M, y[2], y[8], y[23]) +1*v_781(k, M, y[49], y[8], y[21])
-CH4 9 -1*v_13(k, M, y[3], y[9], y[8], y[0]) -1*v_27(k, M, y[0], y[9], y[14], y[5]) -1*v_49(k, M, y[7], y[8], y[9]) -1*v_61(k, M, y[11], y[9], y[12], y[8]) +1*v_63(k, M, y[11], y[13], y[8], y[9]) -1*v_65(k, M, y[14], y[9], y[13], y[8]) +1*v_67(k, M, y[15], y[14], y[9], y[8]) +1*v_69(k, M, y[15], y[16], y[9], y[8]) -1*v_75(k, M, y[12], y[9], y[8], y[10]) +1*v_107(k, M, y[4], y[2], y[9], y[8]) -1*v_115(k, M, y[2], y[9], y[8], y[1]) +1*v_127(k, M, y[21], y[8], y[20], y[9]) +1*v_129(k, M, y[19], y[20], y[9], y[8]) +1*v_187(k, M, y[17], y[9], y[8], y[21]) +1*v_189(k, M, y[20], y[8], y[22], y[9]) +1*v_191(k, M, y[22], y[9], y[8], y[23]) +1*v_237(k, M, y[29], y[28], y[9], y[8]) +1*v_239(k, M, y[29], y[33], y[9], y[8]) -1*v_243(k, M, y[9], y[30], y[8], y[31]) -1*v_307(k, M, y[35], y[33], y[9], y[8]) +1*v_333(k, M, y[38], y[37], y[8], y[9]) +1*v_437(k, M, y[48], y[46], y[9], y[8]) -1*v_515(k, M, y[9], y[25], y[8], y[52]) -1*v_547(k, M, y[53], y[9], y[52], y[8]) -1*v_577(k, M, y[2], y[9], y[60], y[8]) +1*v_615(k, M, y[9], y[8], y[0]) -1*v_727(k, M, y[9], y[8], y[0]) -1*v_729(k, M, y[61], y[3], y[9]) -1*v_731(k, M, y[61], y[9], y[0]) -1*v_733(k, M, y[3], y[0], y[9], y[5]) +1*v_761(k, M, y[61], y[16], y[9]) +1*v_779(k, M, y[49], y[9], y[17])
-C2 10 +1*v_15(k, M, y[6], y[0], y[10], y[5]) -1*v_41(k, M, y[6], y[17], y[4], y[10]) -1*v_73(k, M, y[0], y[3], y[12], y[10]) -1*v_75(k, M, y[12], y[9], y[8], y[10]) -1*v_225(k, M, y[6], y[28], y[30], y[10]) -1*v_245(k, M, y[30], y[10], y[34]) -1*v_541(k, M, y[45], y[57], y[10], y[31]) -1*v_543(k, M, y[11], y[57], y[54], y[10]) +1*v_689(k, M, y[6], y[10]) +1*v_703(k, M, y[0], y[12], y[10]) +1*v_811(k, M, y[45], y[10], y[11])
-C2H2 11 +1*v_17(k, M, y[6], y[11], y[8], y[0]) +1*v_19(k, M, y[11], y[3], y[12], y[0]) +1*v_21(k, M, y[11], y[0], y[7], y[5]) +1*v_23(k, M, y[11], y[3], y[13], y[0]) +1*v_39(k, M, y[11], y[3], y[8], y[5]) +1*v_43(k, M, y[0], y[7], y[11]) -1*v_57(k, M, y[17], y[4], y[7], y[11]) +1*v_59(k, M, y[11], y[7], y[8], y[12]) +1*v_61(k, M, y[11], y[9], y[12], y[8]) +1*v_63(k, M, y[11], y[13], y[8], y[9]) -1*v_71(k, M, y[17], y[2], y[8], y[11]) +1*v_77(k, M, y[11], y[7], y[12], y[5]) +1*v_79(k, M, y[15], y[16], y[12], y[11]) +1*v_83(k, M, y[4], y[2], y[12], y[11]) +1*v_85(k, M, y[2], y[1], y[12], y[11]) +1*v_87(k, M, y[14], y[13], y[11]) +1*v_91(k, M, y[15], y[16], y[13], y[11]) +1*v_117(k, M, y[2], y[1], y[13], y[11]) +1*v_157(k, M, y[11], y[17], y[12], y[21]) +1*v_159(k, M, y[19], y[20], y[12], y[11]) +1*v_161(k, M, y[11], y[20], y[22], y[12]) +1*v_163(k, M, y[11], y[19], y[12], y[23]) +1*v_165(k, M, y[22], y[11], y[12], y[23]) +1*v_167(k, M, y[2], y[4], y[13], y[11]) +1*v_169(k, M, y[11], y[8], y[14], y[5]) +1*v_171(k, M, y[7], y[13], y[11], y[8]) -1*v_205(k, M, y[27], y[4], y[0], y[11]) +1*v_247(k, M, y[29], y[33], y[12], y[11]) +1*v_249(k, M, y[35], y[33], y[13], y[11]) -1*v_419(k, M, y[45], y[0], y[12], y[11]) -1*v_525(k, M, y[0], y[30], y[11], y[54]) +1*v_543(k, M, y[11], y[57], y[54], y[10]) -1*v_565(k, M, y[59], y[3], y[7], y[11]) -1*v_567(k, M, y[58], y[0], y[7], y[11]) -1*v_571(k, M, y[11], y[0], y[59], y[5]) -1*v_597(k, M, y[61], y[58], y[0], y[11]) -1*v_617(k, M, y[11], y[13], y[0]) +1*v_635(k, M, y[11], y[12], y[0]) +1*v_637(k, M, y[3], y[14], y[11]) -1*v_653(k, M, y[2], y[24], y[11]) -1*v_743(k, M, y[0], y[12], y[11]) +1*v_749(k, M, y[3], y[14], y[11]) +1*v_751(k, M, y[0], y[14], y[11]) +1*v_759(k, M, y[16], y[3], y[11]) +1*v_809(k, M, y[64], y[11]) +1*v_809(k, M, y[64], y[11]) +1*v_809(k, M, y[64], y[11]) +1*v_811(k, M, y[45], y[10], y[11])
-C2H 12 -1*v_19(k, M, y[11], y[3], y[12], y[0]) -1*v_55(k, M, y[2], y[7], y[12], y[17]) -1*v_59(k, M, y[11], y[7], y[8], y[12]) -1*v_61(k, M, y[11], y[9], y[12], y[8]) +1*v_73(k, M, y[0], y[3], y[12], y[10]) +1*v_75(k, M, y[12], y[9], y[8], y[10]) -1*v_77(k, M, y[11], y[7], y[12], y[5]) -1*v_79(k, M, y[15], y[16], y[12], y[11]) -1*v_81(k, M, y[17], y[4], y[12], y[5]) -1*v_83(k, M, y[4], y[2], y[12], y[11]) -1*v_85(k, M, y[2], y[1], y[12], y[11]) -1*v_157(k, M, y[11], y[17], y[12], y[21]) -1*v_159(k, M, y[19], y[20], y[12], y[11]) -1*v_161(k, M, y[11], y[20], y[22], y[12]) -1*v_163(k, M, y[11], y[19], y[12], y[23]) -1*v_165(k, M, y[22], y[11], y[12], y[23]) -1*v_247(k, M, y[29], y[33], y[12], y[11]) -1*v_391(k, M, y[21], y[25], y[12], y[17]) -1*v_419(k, M, y[45], y[0], y[12], y[11]) -1*v_527(k, M, y[0], y[12], y[54], y[31]) -1*v_553(k, M, y[15], y[58], y[8], y[12]) -1*v_559(k, M, y[19], y[2], y[58], y[12]) -1*v_569(k, M, y[59], y[7], y[12], y[0]) -1*v_573(k, M, y[58], y[0], y[8], y[12]) -1*v_635(k, M, y[11], y[12], y[0]) -1*v_703(k, M, y[0], y[12], y[10]) +1*v_743(k, M, y[0], y[12], y[11])
-C2H3 13 -1*v_23(k, M, y[11], y[3], y[13], y[0]) -1*v_25(k, M, y[14], y[3], y[13], y[0]) +1*v_47(k, M, y[7], y[13], y[0]) -1*v_63(k, M, y[11], y[13], y[8], y[9]) -1*v_65(k, M, y[14], y[9], y[13], y[8]) -1*v_87(k, M, y[14], y[13], y[11]) -1*v_87(k, M, y[14], y[13], y[11]) -1*v_89(k, M, y[15], y[14], y[13]) -1*v_91(k, M, y[15], y[16], y[13], y[11]) +1*v_93(k, M, y[2], y[13], y[14], y[1]) +1*v_97(k, M, y[15], y[16], y[13], y[14]) -1*v_117(k, M, y[2], y[1], y[13], y[11]) -1*v_167(k, M, y[2], y[4], y[13], y[11]) -1*v_171(k, M, y[7], y[13], y[11], y[8]) -1*v_203(k, M, y[4], y[26], y[13], y[0]) -1*v_249(k, M, y[35], y[33], y[13], y[11]) +1*v_251(k, M, y[35], y[33], y[13], y[14]) -1*v_393(k, M, y[20], y[25], y[13], y[21]) -1*v_539(k, M, y[57], y[13], y[0], y[31]) -1*v_545(k, M, y[28], y[13], y[0], y[56]) -1*v_555(k, M, y[58], y[8], y[13]) -1*v_555(k, M, y[58], y[8], y[13]) +1*v_557(k, M, y[58], y[2], y[13], y[21]) +1*v_617(k, M, y[11], y[13], y[0]) -1*v_619(k, M, y[14], y[13], y[0]) +1*v_753(k, M, y[13], y[14], y[0])
-C2H4 14 +1*v_25(k, M, y[14], y[3], y[13], y[0]) +1*v_27(k, M, y[0], y[9], y[14], y[5]) +1*v_29(k, M, y[14], y[7], y[8], y[0]) +1*v_33(k, M, y[15], y[3], y[14], y[0]) +1*v_51(k, M, y[15], y[14], y[7], y[8]) +1*v_65(k, M, y[14], y[9], y[13], y[8]) +1*v_67(k, M, y[15], y[14], y[9], y[8]) +1*v_87(k, M, y[14], y[13], y[11]) +1*v_89(k, M, y[15], y[14], y[13]) +1*v_89(k, M, y[15], y[14], y[13]) -1*v_93(k, M, y[2], y[13], y[14], y[1]) +1*v_95(k, M, y[15], y[16], y[14]) -1*v_97(k, M, y[15], y[16], y[13], y[14]) +1*v_119(k, M, y[15], y[2], y[1], y[14]) -1*v_125(k, M, y[4], y[8], y[14], y[21]) -1*v_169(k, M, y[11], y[8], y[14], y[5]) +1*v_177(k, M, y[19], y[2], y[7], y[14]) -1*v_251(k, M, y[35], y[33], y[13], y[14]) +1*v_253(k, M, y[15], y[33], y[35], y[14]) -1*v_537(k, M, y[14], y[57], y[30], y[0]) +1*v_619(k, M, y[14], y[13], y[0]) -1*v_621(k, M, y[14], y[0], y[15]) -1*v_637(k, M, y[3], y[14], y[11]) +1*v_639(k, M, y[16], y[3], y[14]) -1*v_749(k, M, y[3], y[14], y[11]) -1*v_751(k, M, y[0], y[14], y[11]) -1*v_753(k, M, y[13], y[14], y[0]) +1*v_755(k, M, y[16], y[3], y[14]) +1*v_757(k, M, y[16], y[14], y[0])
-C2H5 15 -1*v_31(k, M, y[15], y[8], y[0]) -1*v_33(k, M, y[15], y[3], y[14], y[0]) +1*v_35(k, M, y[15], y[16], y[3], y[0]) -1*v_51(k, M, y[15], y[14], y[7], y[8]) -1*v_67(k, M, y[15], y[14], y[9], y[8]) +1*v_69(k, M, y[15], y[16], y[9], y[8]) +1*v_79(k, M, y[15], y[16], y[12], y[11]) -1*v_89(k, M, y[15], y[14], y[13]) -1*v_91(k, M, y[15], y[16], y[13], y[11]) -1*v_95(k, M, y[15], y[16], y[14]) -1*v_95(k, M, y[15], y[16], y[14]) -1*v_97(k, M, y[15], y[16], y[13], y[14]) +1*v_99(k, M, y[15], y[16], y[2], y[1]) +1*v_109(k, M, y[2], y[16], y[4], y[15]) -1*v_119(k, M, y[15], y[2], y[1], y[14]) -1*v_253(k, M, y[15], y[33], y[35], y[14]) +1*v_255(k, M, y[35], y[33], y[16], y[15]) +1*v_321(k, M, y[15], y[16], y[30], y[31]) +1*v_425(k, M, y[15], y[33], y[46], y[8]) -1*v_443(k, M, y[15], y[49], y[4], y[0]) +1*v_517(k, M, y[15], y[16], y[25], y[52]) -1*v_553(k, M, y[15], y[58], y[8], y[12]) +1*v_621(k, M, y[14], y[0], y[15]) -1*v_623(k, M, y[15], y[16], y[0])
-C2H6 16 -1*v_35(k, M, y[15], y[16], y[3], y[0]) -1*v_69(k, M, y[15], y[16], y[9], y[8]) -1*v_79(k, M, y[15], y[16], y[12], y[11]) +1*v_91(k, M, y[15], y[16], y[13], y[11]) +1*v_95(k, M, y[15], y[16], y[14]) +1*v_97(k, M, y[15], y[16], y[13], y[14]) -1*v_99(k, M, y[15], y[16], y[2], y[1]) -1*v_109(k, M, y[2], y[16], y[4], y[15]) +1*v_195(k, M, y[16], y[24], y[8], y[17]) -1*v_255(k, M, y[35], y[33], y[16], y[15]) -1*v_321(k, M, y[15], y[16], y[30], y[31]) -1*v_517(k, M, y[15], y[16], y[25], y[52]) +1*v_623(k, M, y[15], y[16], y[0]) +1*v_633(k, M, y[16], y[8]) -1*v_639(k, M, y[16], y[3], y[14]) -1*v_755(k, M, y[16], y[3], y[14]) -1*v_757(k, M, y[16], y[14], y[0]) -1*v_759(k, M, y[16], y[3], y[11]) -1*v_761(k, M, y[61], y[16], y[9]) -1*v_763(k, M, y[16], y[8])
-CO 17 -1*v_37(k, M, y[2], y[0], y[18], y[17]) +1*v_41(k, M, y[6], y[17], y[4], y[10]) +1*v_55(k, M, y[2], y[7], y[12], y[17]) +1*v_57(k, M, y[17], y[4], y[7], y[11]) +1*v_71(k, M, y[17], y[2], y[8], y[11]) +1*v_81(k, M, y[17], y[4], y[12], y[5]) +1*v_103(k, M, y[17], y[4], y[0], y[5]) +1*v_111(k, M, y[6], y[2], y[0], y[17]) +1*v_131(k, M, y[17], y[3], y[0], y[21]) +1*v_133(k, M, y[17], y[2], y[1], y[21]) +1*v_135(k, M, y[17], y[21], y[18], y[5]) +1*v_147(k, M, y[0], y[4], y[7], y[17]) +1*v_151(k, M, y[20], y[7], y[18], y[17]) -1*v_153(k, M, y[8], y[18], y[22], y[17]) +1*v_157(k, M, y[11], y[17], y[12], y[21]) +1*v_173(k, M, y[3], y[4], y[7], y[17]) +1*v_175(k, M, y[17], y[7], y[8], y[21]) +1*v_187(k, M, y[17], y[9], y[8], y[21]) +1*v_195(k, M, y[16], y[24], y[8], y[17]) +1*v_201(k, M, y[17], y[26], y[8], y[0]) +1*v_207(k, M, y[27], y[17], y[7], y[0]) +1*v_211(k, M, y[17], y[20], y[21]) +1*v_269(k, M, y[33], y[2], y[17], y[31]) +1*v_275(k, M, y[4], y[28], y[30], y[17]) +1*v_277(k, M, y[28], y[32], y[18], y[17]) +1*v_291(k, M, y[17], y[29], y[32], y[5]) +1*v_299(k, M, y[32], y[30], y[17], y[34]) +1*v_323(k, M, y[29], y[4], y[17], y[31]) +1*v_365(k, M, y[42], y[33], y[17], y[0]) +1*v_385(k, M, y[6], y[4], y[25], y[17]) +1*v_387(k, M, y[17], y[7], y[25], y[1]) +1*v_391(k, M, y[21], y[25], y[12], y[17]) +1*v_457(k, M, y[17], y[41], y[32], y[21]) +1*v_473(k, M, y[42], y[17], y[51], y[21]) +1*v_475(k, M, y[51], y[18], y[30], y[17]) -1*v_503(k, M, y[2], y[18], y[52], y[17]) +1*v_519(k, M, y[17], y[25], y[52], y[21]) -1*v_585(k, M, y[18], y[60], y[17]) -1*v_595(k, M, y[61], y[7], y[17]) +1*v_595(k, M, y[61], y[7], y[17]) -1*v_641(k, M, y[4], y[18], y[17]) -1*v_645(k, M, y[17], y[21], y[0]) -1*v_655(k, M, y[24], y[8], y[17]) -1*v_659(k, M, y[3], y[20], y[17]) +1*v_673(k, M, y[42], y[17], y[29]) +1*v_705(k, M, y[6], y[17], y[4]) -1*v_739(k, M, y[6], y[4], y[17]) +1*v_745(k, M, y[4], y[18], y[17]) +1*v_747(k, M, y[18], y[17], y[60]) +1*v_767(k, M, y[17], y[0], y[21]) +1*v_769(k, M, y[3], y[20], y[17]) +1*v_779(k, M, y[49], y[9], y[17]) +1*v_797(k, M, y[42], y[29], y[17])
-CO2 18 +1*v_37(k, M, y[2], y[0], y[18], y[17]) -1*v_135(k, M, y[17], y[21], y[18], y[5]) -1*v_151(k, M, y[20], y[7], y[18], y[17]) +1*v_153(k, M, y[8], y[18], y[22], y[17]) -1*v_277(k, M, y[28], y[32], y[18], y[17]) -1*v_475(k, M, y[51], y[18], y[30], y[17]) +1*v_503(k, M, y[2], y[18], y[52], y[17]) -1*v_581(k, M, y[4], y[18], y[60]) +1*v_581(k, M, y[4], y[18], y[60]) +1*v_585(k, M, y[18], y[60], y[17]) +1*v_641(k, M, y[4], y[18], y[17]) -1*v_745(k, M, y[4], y[18], y[17]) -1*v_747(k, M, y[18], y[17], y[60])
-CH2OH 19 -1*v_121(k, M, y[19], y[2], y[8], y[0]) -1*v_129(k, M, y[19], y[20], y[9], y[8]) +1*v_155(k, M, y[3], y[19], y[0], y[23]) -1*v_159(k, M, y[19], y[20], y[12], y[11]) +1*v_163(k, M, y[11], y[19], y[12], y[23]) -1*v_177(k, M, y[19], y[2], y[7], y[14]) -1*v_179(k, M, y[19], y[7], y[20], y[8]) +1*v_185(k, M, y[19], y[7], y[8], y[23]) -1*v_213(k, M, y[19], y[20], y[22], y[23]) +1*v_427(k, M, y[2], y[19], y[46], y[33]) -1*v_559(k, M, y[19], y[2], y[58], y[12]) -1*v_643(k, M, y[19], y[20], y[0]) +1*v_647(k, M, y[19], y[1], y[5]) -1*v_651(k, M, y[19], y[23], y[0])
-H2CO 20 -1*v_123(k, M, y[21], y[3], y[20], y[0]) -1*v_127(k, M, y[21], y[8], y[20], y[9]) +1*v_129(k, M, y[19], y[20], y[9], y[8]) +1*v_137(k, M, y[4], y[0], y[8], y[20]) +1*v_139(k, M, y[2], y[4], y[22], y[20]) +1*v_141(k, M, y[2], y[1], y[22], y[20]) +1*v_149(k, M, y[2], y[7], y[20], y[0]) +1*v_151(k, M, y[20], y[7], y[18], y[17]) +1*v_159(k, M, y[19], y[20], y[12], y[11]) +1*v_161(k, M, y[11], y[20], y[22], y[12]) +1*v_179(k, M, y[19], y[7], y[20], y[8]) +1*v_181(k, M, y[20], y[7], y[22], y[8]) +1*v_189(k, M, y[20], y[8], y[22], y[9]) +1*v_199(k, M, y[20], y[3], y[22], y[0]) -1*v_209(k, M, y[2], y[4], y[20], y[21]) +1*v_211(k, M, y[17], y[20], y[21]) +1*v_213(k, M, y[19], y[20], y[22], y[23]) +1*v_215(k, M, y[20], y[22], y[23]) +1*v_389(k, M, y[2], y[25], y[8], y[20]) +1*v_393(k, M, y[20], y[25], y[13], y[21]) +1*v_441(k, M, y[0], y[1], y[20], y[5]) +1*v_455(k, M, y[41], y[32], y[22], y[20]) +1*v_643(k, M, y[19], y[20], y[0]) +1*v_649(k, M, y[20], y[22], y[0]) +1*v_657(k, M, y[0], y[20], y[21]) +1*v_659(k, M, y[3], y[20], y[17]) -1*v_769(k, M, y[3], y[20], y[17]) -1*v_771(k, M, y[21], y[20], y[0]) +1*v_775(k, M, y[3], y[20], y[23])
-HCO 21 +1*v_123(k, M, y[21], y[3], y[20], y[0]) +1*v_125(k, M, y[4], y[8], y[14], y[21]) +1*v_127(k, M, y[21], y[8], y[20], y[9]) -1*v_131(k, M, y[17], y[3], y[0], y[21]) -1*v_133(k, M, y[17], y[2], y[1], y[21]) +1*v_135(k, M, y[17], y[21], y[18], y[5]) -1*v_157(k, M, y[11], y[17], y[12], y[21]) -1*v_175(k, M, y[17], y[7], y[8], y[21]) -1*v_187(k, M, y[17], y[9], y[8], y[21]) +1*v_193(k, M, y[21], y[24], y[8], y[0]) +1*v_209(k, M, y[2], y[4], y[20], y[21]) -1*v_211(k, M, y[17], y[20], y[21]) -1*v_211(k, M, y[17], y[20], y[21]) +1*v_391(k, M, y[21], y[25], y[12], y[17]) +1*v_393(k, M, y[20], y[25], y[13], y[21]) -1*v_457(k, M, y[17], y[41], y[32], y[21]) -1*v_473(k, M, y[42], y[17], y[51], y[21]) -1*v_519(k, M, y[17], y[25], y[52], y[21]) +1*v_557(k, M, y[58], y[2], y[13], y[21]) +1*v_645(k, M, y[17], y[21], y[0]) -1*v_657(k, M, y[0], y[20], y[21]) -1*v_767(k, M, y[17], y[0], y[21]) +1*v_771(k, M, y[21], y[20], y[0]) +1*v_781(k, M, y[49], y[8], y[21])
-CH3O 22 -1*v_139(k, M, y[2], y[4], y[22], y[20]) -1*v_141(k, M, y[2], y[1], y[22], y[20]) +1*v_143(k, M, y[3], y[0], y[22], y[23]) -1*v_153(k, M, y[8], y[18], y[22], y[17]) -1*v_161(k, M, y[11], y[20], y[22], y[12]) +1*v_165(k, M, y[22], y[11], y[12], y[23]) -1*v_181(k, M, y[20], y[7], y[22], y[8]) +1*v_183(k, M, y[7], y[22], y[23], y[8]) -1*v_189(k, M, y[20], y[8], y[22], y[9]) +1*v_191(k, M, y[22], y[9], y[8], y[23]) -1*v_199(k, M, y[20], y[3], y[22], y[0]) -1*v_213(k, M, y[19], y[20], y[22], y[23]) -1*v_215(k, M, y[20], y[22], y[23]) -1*v_215(k, M, y[20], y[22], y[23]) -1*v_383(k, M, y[4], y[8], y[25], y[22]) +1*v_415(k, M, y[22], y[32], y[8], y[43]) -1*v_455(k, M, y[41], y[32], y[22], y[20]) -1*v_649(k, M, y[20], y[22], y[0]) +1*v_777(k, M, y[0], y[22], y[23])
-CH3OH 23 -1*v_143(k, M, y[3], y[0], y[22], y[23]) -1*v_145(k, M, y[1], y[0], y[8], y[23]) -1*v_155(k, M, y[3], y[19], y[0], y[23]) -1*v_163(k, M, y[11], y[19], y[12], y[23]) -1*v_165(k, M, y[22], y[11], y[12], y[23]) -1*v_183(k, M, y[7], y[22], y[23], y[8]) -1*v_185(k, M, y[19], y[7], y[8], y[23]) -1*v_191(k, M, y[22], y[9], y[8], y[23]) +1*v_213(k, M, y[19], y[20], y[22], y[23]) +1*v_215(k, M, y[20], y[22], y[23]) +1*v_651(k, M, y[19], y[23], y[0]) +1*v_719(k, M, y[2], y[8], y[23]) -1*v_773(k, M, y[2], y[8], y[23]) -1*v_775(k, M, y[3], y[20], y[23]) -1*v_777(k, M, y[0], y[22], y[23])
-CH3CO 24 -1*v_193(k, M, y[21], y[24], y[8], y[0]) -1*v_195(k, M, y[16], y[24], y[8], y[17]) +1*v_445(k, M, y[49], y[3], y[24], y[0]) +1*v_653(k, M, y[2], y[24], y[11]) +1*v_655(k, M, y[24], y[8], y[17])
-O2 25 +1*v_197(k, M, y[2], y[4], y[25], y[0]) +1*v_383(k, M, y[4], y[8], y[25], y[22]) -1*v_385(k, M, y[6], y[4], y[25], y[17]) -1*v_387(k, M, y[17], y[7], y[25], y[1]) -1*v_389(k, M, y[2], y[25], y[8], y[20]) -1*v_391(k, M, y[21], y[25], y[12], y[17]) -1*v_393(k, M, y[20], y[25], y[13], y[21]) -1*v_395(k, M, y[4], y[32], y[28], y[25]) -1*v_397(k, M, y[29], y[32], y[25], y[2]) -1*v_399(k, M, y[29], y[4], y[41], y[25]) -1*v_401(k, M, y[2], y[33], y[41], y[25]) +1*v_403(k, M, y[25], y[4], y[32], y[43]) +1*v_405(k, M, y[25], y[4], y[44], y[34]) +1*v_501(k, M, y[3], y[25], y[52], y[0]) +1*v_513(k, M, y[2], y[4], y[25], y[52]) -1*v_515(k, M, y[9], y[25], y[8], y[52]) -1*v_517(k, M, y[15], y[16], y[25], y[52]) -1*v_519(k, M, y[17], y[25], y[52], y[21]) +1*v_521(k, M, y[2], y[1], y[25], y[52]) +1*v_549(k, M, y[35], y[33], y[25], y[52]) +1*v_587(k, M, y[32], y[25], y[60], y[43]) +1*v_691(k, M, y[53], y[25], y[52]) -1*v_695(k, M, y[25], y[52], y[0]) +1*v_713(k, M, y[4], y[25]) -1*v_803(k, M, y[4], y[25]) -1*v_805(k, M, y[4], y[25], y[60])
-H2CCO 26 -1*v_201(k, M, y[17], y[26], y[8], y[0]) +1*v_203(k, M, y[4], y[26], y[13], y[0])
-HCCO 27 +1*v_205(k, M, y[27], y[4], y[0], y[11]) -1*v_207(k, M, y[27], y[17], y[7], y[0])
-N 28 -1*v_217(k, M, y[29], y[28], y[5], y[6]) -1*v_219(k, M, y[0], y[28], y[30], y[5]) -1*v_221(k, M, y[29], y[7], y[28], y[5]) -1*v_223(k, M, y[7], y[28], y[0], y[31]) -1*v_225(k, M, y[6], y[28], y[30], y[10]) +1*v_227(k, M, y[2], y[28], y[32], y[0]) +1*v_229(k, M, y[29], y[28], y[3], y[0]) +1*v_237(k, M, y[29], y[28], y[9], y[8]) +1*v_257(k, M, y[29], y[4], y[28], y[2]) +1*v_263(k, M, y[29], y[28], y[2], y[1]) +1*v_275(k, M, y[4], y[28], y[30], y[17]) -1*v_277(k, M, y[28], y[32], y[18], y[17]) -1*v_279(k, M, y[4], y[28], y[32], y[34]) -1*v_281(k, M, y[29], y[28], y[0], y[34]) -1*v_283(k, M, y[6], y[28], y[30], y[34]) -1*v_369(k, M, y[28], y[36], y[8], y[0]) -1*v_371(k, M, y[3], y[28], y[8], y[31]) -1*v_395(k, M, y[4], y[32], y[28], y[25]) +1*v_491(k, M, y[29], y[33], y[35], y[28]) -1*v_545(k, M, y[28], y[13], y[0], y[56]) -1*v_551(k, M, y[35], y[38], y[28], y[3]) -1*v_561(k, M, y[3], y[58], y[28], y[54]) -1*v_563(k, M, y[59], y[28], y[54], y[0]) -1*v_665(k, M, y[28], y[3], y[33]) -1*v_667(k, M, y[28], y[34]) -1*v_667(k, M, y[28], y[34]) +1*v_707(k, M, y[29], y[28], y[0]) -1*v_709(k, M, y[4], y[28], y[32]) +1*v_717(k, M, y[28], y[62]) +1*v_783(k, M, y[28], y[34]) +1*v_783(k, M, y[28], y[34]) +1*v_791(k, M, y[4], y[28], y[32])
-NH 29 +1*v_217(k, M, y[29], y[28], y[5], y[6]) +1*v_221(k, M, y[29], y[7], y[28], y[5]) -1*v_229(k, M, y[29], y[28], y[3], y[0]) +1*v_231(k, M, y[29], y[33], y[3], y[0]) -1*v_237(k, M, y[29], y[28], y[9], y[8]) +1*v_239(k, M, y[29], y[33], y[9], y[8]) +1*v_247(k, M, y[29], y[33], y[12], y[11]) -1*v_257(k, M, y[29], y[4], y[28], y[2]) -1*v_259(k, M, y[29], y[4], y[32], y[0]) -1*v_263(k, M, y[29], y[28], y[2], y[1]) -1*v_271(k, M, y[29], y[4], y[2], y[33]) +1*v_273(k, M, y[29], y[33], y[2], y[1]) -1*v_281(k, M, y[29], y[28], y[0], y[34]) +1*v_285(k, M, y[29], y[31], y[7], y[34]) +1*v_291(k, M, y[17], y[29], y[32], y[5]) -1*v_295(k, M, y[29], y[2], y[32], y[34]) -1*v_301(k, M, y[29], y[30], y[0], y[6]) -1*v_303(k, M, y[29], y[3], y[34]) -1*v_303(k, M, y[29], y[3], y[34]) +1*v_313(k, M, y[35], y[33], y[29]) -1*v_319(k, M, y[29], y[33], y[36], y[31]) +1*v_323(k, M, y[29], y[4], y[17], y[31]) -1*v_325(k, M, y[29], y[33], y[37], y[0]) -1*v_359(k, M, y[29], y[33], y[38], y[37]) +1*v_375(k, M, y[29], y[4], y[38], y[32]) -1*v_397(k, M, y[29], y[32], y[25], y[2]) -1*v_399(k, M, y[29], y[4], y[41], y[25]) -1*v_409(k, M, y[29], y[32], y[44], y[0]) -1*v_447(k, M, y[29], y[2], y[41], y[0]) +1*v_471(k, M, y[42], y[33], y[51], y[29]) -1*v_487(k, M, y[29], y[33], y[39], y[37]) -1*v_491(k, M, y[29], y[33], y[35], y[28]) +1*v_495(k, M, y[29], y[41], y[3], y[1]) +1*v_599(k, M, y[3], y[0], y[62], y[29]) +1*v_601(k, M, y[29], y[2], y[62], y[1]) +1*v_603(k, M, y[35], y[33], y[62], y[29]) +1*v_673(k, M, y[42], y[17], y[29]) -1*v_707(k, M, y[29], y[28], y[0]) +1*v_787(k, M, y[35], y[29], y[0]) +1*v_797(k, M, y[42], y[29], y[17])
-CN 30 +1*v_219(k, M, y[0], y[28], y[30], y[5]) +1*v_225(k, M, y[6], y[28], y[30], y[10]) -1*v_233(k, M, y[3], y[30], y[0], y[31]) -1*v_235(k, M, y[7], y[30], y[5], y[31]) -1*v_241(k, M, y[30], y[7], y[8], y[31]) -1*v_243(k, M, y[9], y[30], y[8], y[31]) +1*v_245(k, M, y[30], y[10], y[34]) +1*v_245(k, M, y[30], y[10], y[34]) -1*v_265(k, M, y[4], y[2], y[30], y[31]) +1*v_267(k, M, y[2], y[1], y[30], y[31]) -1*v_275(k, M, y[4], y[28], y[30], y[17]) -1*v_283(k, M, y[6], y[28], y[30], y[34]) +1*v_287(k, M, y[6], y[4], y[32], y[30]) -1*v_299(k, M, y[32], y[30], y[17], y[34]) +1*v_301(k, M, y[29], y[30], y[0], y[6]) -1*v_317(k, M, y[35], y[33], y[30], y[31]) -1*v_321(k, M, y[15], y[16], y[30], y[31]) +1*v_469(k, M, y[42], y[51], y[30], y[31]) -1*v_475(k, M, y[51], y[18], y[30], y[17]) -1*v_479(k, M, y[2], y[51], y[30], y[0]) -1*v_525(k, M, y[0], y[30], y[11], y[54]) -1*v_537(k, M, y[14], y[57], y[30], y[0]) -1*v_663(k, M, y[30], y[0], y[31]) +1*v_789(k, M, y[30], y[0], y[31])
-HCN 31 +1*v_223(k, M, y[7], y[28], y[0], y[31]) +1*v_233(k, M, y[3], y[30], y[0], y[31]) +1*v_235(k, M, y[7], y[30], y[5], y[31]) +1*v_241(k, M, y[30], y[7], y[8], y[31]) +1*v_243(k, M, y[9], y[30], y[8], y[31]) +1*v_265(k, M, y[4], y[2], y[30], y[31]) -1*v_267(k, M, y[2], y[1], y[30], y[31]) -1*v_269(k, M, y[33], y[2], y[17], y[31]) +1*v_285(k, M, y[29], y[31], y[7], y[34]) +1*v_289(k, M, y[4], y[32], y[5], y[31]) +1*v_293(k, M, y[1], y[32], y[8], y[31]) +1*v_317(k, M, y[35], y[33], y[30], y[31]) +1*v_319(k, M, y[29], y[33], y[36], y[31]) +1*v_321(k, M, y[15], y[16], y[30], y[31]) -1*v_323(k, M, y[29], y[4], y[17], y[31]) +1*v_361(k, M, y[2], y[1], y[36], y[31]) -1*v_367(k, M, y[42], y[2], y[0], y[31]) +1*v_371(k, M, y[3], y[28], y[8], y[31]) -1*v_469(k, M, y[42], y[51], y[30], y[31]) -1*v_477(k, M, y[4], y[51], y[0], y[31]) +1*v_489(k, M, y[35], y[33], y[36], y[31]) +1*v_523(k, M, y[3], y[36], y[0], y[31]) -1*v_527(k, M, y[0], y[12], y[54], y[31]) +1*v_529(k, M, y[55], y[8], y[0], y[31]) -1*v_539(k, M, y[57], y[13], y[0], y[31]) +1*v_541(k, M, y[45], y[57], y[10], y[31]) +1*v_663(k, M, y[30], y[0], y[31]) -1*v_671(k, M, y[36], y[0], y[31]) -1*v_789(k, M, y[30], y[0], y[31])
-NO 32 -1*v_227(k, M, y[2], y[28], y[32], y[0]) +1*v_259(k, M, y[29], y[4], y[32], y[0]) +1*v_277(k, M, y[28], y[32], y[18], y[17]) -1*v_279(k, M, y[4], y[28], y[32], y[34]) -1*v_287(k, M, y[6], y[4], y[32], y[30]) -1*v_289(k, M, y[4], y[32], y[5], y[31]) -1*v_291(k, M, y[17], y[29], y[32], y[5]) -1*v_293(k, M, y[1], y[32], y[8], y[31]) -1*v_295(k, M, y[29], y[2], y[32], y[34]) -1*v_297(k, M, y[33], y[1], y[32], y[34]) -1*v_299(k, M, y[32], y[30], y[17], y[34]) +1*v_309(k, M, y[33], y[4], y[3], y[32]) -1*v_353(k, M, y[2], y[33], y[38], y[32]) -1*v_355(k, M, y[38], y[41], y[32], y[34]) -1*v_363(k, M, y[42], y[7], y[32], y[0]) +1*v_375(k, M, y[29], y[4], y[38], y[32]) -1*v_379(k, M, y[36], y[2], y[32], y[8]) +1*v_395(k, M, y[4], y[32], y[28], y[25]) +1*v_397(k, M, y[29], y[32], y[25], y[2]) +1*v_403(k, M, y[25], y[4], y[32], y[43]) -1*v_409(k, M, y[29], y[32], y[44], y[0]) +1*v_415(k, M, y[22], y[32], y[8], y[43]) +1*v_449(k, M, y[2], y[41], y[1], y[32]) +1*v_451(k, M, y[2], y[4], y[41], y[32]) +1*v_453(k, M, y[41], y[3], y[32], y[0]) -1*v_455(k, M, y[41], y[32], y[22], y[20]) -1*v_457(k, M, y[17], y[41], y[32], y[21]) +1*v_465(k, M, y[1], y[50], y[32], y[0]) +1*v_467(k, M, y[35], y[33], y[41], y[32]) +1*v_587(k, M, y[32], y[25], y[60], y[43]) -1*v_677(k, M, y[4], y[32], y[43]) -1*v_685(k, M, y[41], y[32], y[0]) -1*v_687(k, M, y[2], y[50], y[32]) +1*v_709(k, M, y[4], y[28], y[32]) -1*v_791(k, M, y[4], y[28], y[32]) +1*v_793(k, M, y[4], y[32], y[43])
-NH2 33 -1*v_231(k, M, y[29], y[33], y[3], y[0]) -1*v_239(k, M, y[29], y[33], y[9], y[8]) -1*v_247(k, M, y[29], y[33], y[12], y[11]) -1*v_249(k, M, y[35], y[33], y[13], y[11]) -1*v_251(k, M, y[35], y[33], y[13], y[14]) -1*v_253(k, M, y[15], y[33], y[35], y[14]) -1*v_255(k, M, y[35], y[33], y[16], y[15]) +1*v_261(k, M, y[35], y[33], y[4], y[2]) +1*v_269(k, M, y[33], y[2], y[17], y[31]) +1*v_271(k, M, y[29], y[4], y[2], y[33]) -1*v_273(k, M, y[29], y[33], y[2], y[1]) -1*v_297(k, M, y[33], y[1], y[32], y[34]) -1*v_305(k, M, y[35], y[33], y[3], y[0]) -1*v_307(k, M, y[35], y[33], y[9], y[8]) -1*v_309(k, M, y[33], y[4], y[3], y[32]) -1*v_311(k, M, y[35], y[33], y[2], y[1]) -1*v_313(k, M, y[35], y[33], y[29]) -1*v_313(k, M, y[35], y[33], y[29]) +1*v_315(k, M, y[35], y[33], y[7], y[5]) +1*v_317(k, M, y[35], y[33], y[30], y[31]) +1*v_319(k, M, y[29], y[33], y[36], y[31]) -1*v_325(k, M, y[29], y[33], y[37], y[0]) -1*v_327(k, M, y[35], y[33], y[38], y[37]) -1*v_329(k, M, y[35], y[33], y[39], y[37]) -1*v_351(k, M, y[35], y[33], y[38], y[34]) -1*v_353(k, M, y[2], y[33], y[38], y[32]) +1*v_359(k, M, y[29], y[33], y[38], y[37]) +1*v_365(k, M, y[42], y[33], y[17], y[0]) -1*v_373(k, M, y[35], y[33], y[7], y[8]) -1*v_377(k, M, y[3], y[33], y[37]) -1*v_377(k, M, y[3], y[33], y[37]) -1*v_401(k, M, y[2], y[33], y[41], y[25]) -1*v_411(k, M, y[33], y[1], y[44], y[43]) -1*v_417(k, M, y[35], y[33], y[39], y[40]) -1*v_423(k, M, y[48], y[33], y[46], y[35]) +1*v_425(k, M, y[15], y[33], y[46], y[8]) +1*v_427(k, M, y[2], y[19], y[46], y[33]) -1*v_433(k, M, y[33], y[3], y[8], y[47]) -1*v_435(k, M, y[33], y[46], y[8], y[0]) +1*v_439(k, M, y[33], y[39], y[0]) +1*v_439(k, M, y[33], y[39], y[0]) -1*v_467(k, M, y[35], y[33], y[41], y[32]) -1*v_471(k, M, y[42], y[33], y[51], y[29]) +1*v_487(k, M, y[29], y[33], y[39], y[37]) -1*v_489(k, M, y[35], y[33], y[36], y[31]) -1*v_491(k, M, y[29], y[33], y[35], y[28]) -1*v_493(k, M, y[33], y[4], y[41], y[0]) -1*v_549(k, M, y[35], y[33], y[25], y[52]) +1*v_583(k, M, y[35], y[33], y[2], y[60]) +1*v_603(k, M, y[35], y[33], y[62], y[29]) -1*v_661(k, M, y[33], y[35], y[0]) +1*v_665(k, M, y[28], y[3], y[33]) -1*v_675(k, M, y[33], y[40]) -1*v_675(k, M, y[33], y[40]) -1*v_683(k, M, y[33], y[8], y[48]) +1*v_785(k, M, y[35], y[33], y[0])
-N2 34 -1*v_245(k, M, y[30], y[10], y[34]) +1*v_279(k, M, y[4], y[28], y[32], y[34]) +1*v_281(k, M, y[29], y[28], y[0], y[34]) +1*v_283(k, M, y[6], y[28], y[30], y[34]) -1*v_285(k, M, y[29], y[31], y[7], y[34]) +1*v_295(k, M, y[29], y[2], y[32], y[34]) +1*v_297(k, M, y[33], y[1], y[32], y[34]) +1*v_299(k, M, y[32], y[30], y[17], y[34]) +1*v_303(k, M, y[29], y[3], y[34]) +1*v_345(k, M, y[38], y[3], y[0], y[34]) +1*v_347(k, M, y[2], y[38], y[1], y[34]) +1*v_349(k, M, y[2], y[4], y[38], y[34]) +1*v_351(k, M, y[35], y[33], y[38], y[34]) +1*v_355(k, M, y[38], y[41], y[32], y[34]) +1*v_405(k, M, y[25], y[4], y[44], y[34]) +1*v_407(k, M, y[2], y[44], y[0], y[34]) +1*v_667(k, M, y[28], y[34]) +1*v_679(k, M, y[4], y[44], y[34]) +1*v_681(k, M, y[38], y[0], y[34]) -1*v_783(k, M, y[28], y[34])
-NH3 35 +1*v_249(k, M, y[35], y[33], y[13], y[11]) +1*v_251(k, M, y[35], y[33], y[13], y[14]) +1*v_253(k, M, y[15], y[33], y[35], y[14]) +1*v_255(k, M, y[35], y[33], y[16], y[15]) -1*v_261(k, M, y[35], y[33], y[4], y[2]) +1*v_305(k, M, y[35], y[33], y[3], y[0]) +1*v_307(k, M, y[35], y[33], y[9], y[8]) +1*v_311(k, M, y[35], y[33], y[2], y[1]) +1*v_313(k, M, y[35], y[33], y[29]) -1*v_315(k, M, y[35], y[33], y[7], y[5]) -1*v_317(k, M, y[35], y[33], y[30], y[31]) +1*v_327(k, M, y[35], y[33], y[38], y[37]) +1*v_329(k, M, y[35], y[33], y[39], y[37]) +1*v_351(k, M, y[35], y[33], y[38], y[34]) +1*v_373(k, M, y[35], y[33], y[7], y[8]) +1*v_417(k, M, y[35], y[33], y[39], y[40]) +1*v_423(k, M, y[48], y[33], y[46], y[35]) +1*v_467(k, M, y[35], y[33], y[41], y[32]) +1*v_489(k, M, y[35], y[33], y[36], y[31]) +1*v_491(k, M, y[29], y[33], y[35], y[28]) +1*v_549(k, M, y[35], y[33], y[25], y[52]) -1*v_551(k, M, y[35], y[38], y[28], y[3]) -1*v_583(k, M, y[35], y[33], y[2], y[60]) -1*v_603(k, M, y[35], y[33], y[62], y[29]) +1*v_661(k, M, y[33], y[35], y[0]) -1*v_785(k, M, y[35], y[33], y[0]) -1*v_787(k, M, y[35], y[29], y[0])
-H2CN 36 -1*v_319(k, M, y[29], y[33], y[36], y[31]) -1*v_361(k, M, y[2], y[1], y[36], y[31]) +1*v_369(k, M, y[28], y[36], y[8], y[0]) +1*v_379(k, M, y[36], y[2], y[32], y[8]) +1*v_431(k, M, y[3], y[0], y[36], y[47]) -1*v_489(k, M, y[35], y[33], y[36], y[31]) -1*v_523(k, M, y[3], y[36], y[0], y[31]) +1*v_671(k, M, y[36], y[0], y[31])
-N2H2 37 +1*v_325(k, M, y[29], y[33], y[37], y[0]) -1*v_327(k, M, y[35], y[33], y[38], y[37]) +1*v_329(k, M, y[35], y[33], y[39], y[37]) -1*v_331(k, M, y[3], y[38], y[37], y[0]) -1*v_333(k, M, y[38], y[37], y[8], y[9]) -1*v_335(k, M, y[38], y[2], y[37], y[1]) +1*v_337(k, M, y[3], y[39], y[37], y[0]) +1*v_339(k, M, y[2], y[4], y[39], y[37]) +1*v_341(k, M, y[2], y[39], y[37], y[1]) +1*v_343(k, M, y[39], y[37], y[40]) -1*v_357(k, M, y[2], y[38], y[4], y[37]) -1*v_359(k, M, y[29], y[33], y[38], y[37]) +1*v_377(k, M, y[3], y[33], y[37]) +1*v_487(k, M, y[29], y[33], y[39], y[37]) +1*v_669(k, M, y[39], y[37], y[0]) -1*v_711(k, M, y[38], y[37], y[0])
-N2H 38 +1*v_327(k, M, y[35], y[33], y[38], y[37]) +1*v_331(k, M, y[3], y[38], y[37], y[0]) +1*v_333(k, M, y[38], y[37], y[8], y[9]) +1*v_335(k, M, y[38], y[2], y[37], y[1]) -1*v_345(k, M, y[38], y[3], y[0], y[34]) -1*v_347(k, M, y[2], y[38], y[1], y[34]) -1*v_349(k, M, y[2], y[4], y[38], y[34]) -1*v_351(k, M, y[35], y[33], y[38], y[34]) +1*v_353(k, M, y[2], y[33], y[38], y[32]) -1*v_355(k, M, y[38], y[41], y[32], y[34]) +1*v_357(k, M, y[2], y[38], y[4], y[37]) +1*v_359(k, M, y[29], y[33], y[38], y[37]) -1*v_375(k, M, y[29], y[4], y[38], y[32]) +1*v_551(k, M, y[35], y[38], y[28], y[3]) -1*v_681(k, M, y[38], y[0], y[34]) +1*v_711(k, M, y[38], y[37], y[0])
-N2H3 39 -1*v_329(k, M, y[35], y[33], y[39], y[37]) -1*v_337(k, M, y[3], y[39], y[37], y[0]) -1*v_339(k, M, y[2], y[4], y[39], y[37]) -1*v_341(k, M, y[2], y[39], y[37], y[1]) -1*v_343(k, M, y[39], y[37], y[40]) -1*v_343(k, M, y[39], y[37], y[40]) +1*v_381(k, M, y[39], y[3], y[40], y[0]) +1*v_417(k, M, y[35], y[33], y[39], y[40]) -1*v_439(k, M, y[33], y[39], y[0]) -1*v_487(k, M, y[29], y[33], y[39], y[37]) -1*v_669(k, M, y[39], y[37], y[0]) +1*v_795(k, M, y[39], y[40], y[0])
-N2H4 40 +1*v_343(k, M, y[39], y[37], y[40]) -1*v_381(k, M, y[39], y[3], y[40], y[0]) -1*v_417(k, M, y[35], y[33], y[39], y[40]) +1*v_675(k, M, y[33], y[40]) -1*v_795(k, M, y[39], y[40], y[0])
-HNO 41 +1*v_355(k, M, y[38], y[41], y[32], y[34]) +1*v_399(k, M, y[29], y[4], y[41], y[25]) +1*v_401(k, M, y[2], y[33], y[41], y[25]) -1*v_413(k, M, y[41], y[1], y[44]) -1*v_413(k, M, y[41], y[1], y[44]) +1*v_447(k, M, y[29], y[2], y[41], y[0]) -1*v_449(k, M, y[2], y[41], y[1], y[32]) -1*v_451(k, M, y[2], y[4], y[41], y[32]) -1*v_453(k, M, y[41], y[3], y[32], y[0]) +1*v_455(k, M, y[41], y[32], y[22], y[20]) +1*v_457(k, M, y[17], y[41], y[32], y[21]) +1*v_461(k, M, y[2], y[41], y[50], y[0]) -1*v_467(k, M, y[35], y[33], y[41], y[32]) +1*v_493(k, M, y[33], y[4], y[41], y[0]) -1*v_495(k, M, y[29], y[41], y[3], y[1]) +1*v_685(k, M, y[41], y[32], y[0])
-HNCO 42 +1*v_363(k, M, y[42], y[7], y[32], y[0]) -1*v_365(k, M, y[42], y[33], y[17], y[0]) +1*v_367(k, M, y[42], y[2], y[0], y[31]) +1*v_469(k, M, y[42], y[51], y[30], y[31]) +1*v_471(k, M, y[42], y[33], y[51], y[29]) +1*v_473(k, M, y[42], y[17], y[51], y[21]) -1*v_481(k, M, y[42], y[3], y[51], y[0]) -1*v_483(k, M, y[42], y[4], y[51], y[2]) -1*v_485(k, M, y[42], y[2], y[51], y[1]) -1*v_673(k, M, y[42], y[17], y[29]) -1*v_715(k, M, y[42], y[51], y[0]) -1*v_797(k, M, y[42], y[29], y[17]) -1*v_799(k, M, y[42], y[51], y[0])
-NO2 43 -1*v_403(k, M, y[25], y[4], y[32], y[43]) -1*v_411(k, M, y[33], y[1], y[44], y[43]) -1*v_415(k, M, y[22], y[32], y[8], y[43]) +1*v_459(k, M, y[1], y[2], y[50], y[43]) +1*v_463(k, M, y[3], y[43], y[50], y[0]) -1*v_587(k, M, y[32], y[25], y[60], y[43]) +1*v_677(k, M, y[4], y[32], y[43]) -1*v_793(k, M, y[4], y[32], y[43])
-N2O 44 -1*v_405(k, M, y[25], y[4], y[44], y[34]) -1*v_407(k, M, y[2], y[44], y[0], y[34]) +1*v_409(k, M, y[29], y[32], y[44], y[0]) +1*v_411(k, M, y[33], y[1], y[44], y[43]) +1*v_413(k, M, y[41], y[1], y[44]) -1*v_679(k, M, y[4], y[44], y[34])
-C4H2 45 +1*v_419(k, M, y[45], y[0], y[12], y[11]) +1*v_541(k, M, y[45], y[57], y[10], y[31]) -1*v_811(k, M, y[45], y[10], y[11])
-CH2NH2 46 -1*v_421(k, M, y[46], y[3], y[47], y[0]) +1*v_423(k, M, y[48], y[33], y[46], y[35]) -1*v_425(k, M, y[15], y[33], y[46], y[8]) -1*v_427(k, M, y[2], y[19], y[46], y[33]) +1*v_429(k, M, y[48], y[46], y[3], y[0]) +1*v_435(k, M, y[33], y[46], y[8], y[0]) +1*v_437(k, M, y[48], y[46], y[9], y[8])
-CH2NH 47 +1*v_421(k, M, y[46], y[3], y[47], y[0]) -1*v_431(k, M, y[3], y[0], y[36], y[47]) +1*v_433(k, M, y[33], y[3], y[8], y[47])
-CH3NH2 48 -1*v_423(k, M, y[48], y[33], y[46], y[35]) -1*v_429(k, M, y[48], y[46], y[3], y[0]) -1*v_437(k, M, y[48], y[46], y[9], y[8]) +1*v_683(k, M, y[33], y[8], y[48])
-CH3CHO 49 +1*v_443(k, M, y[15], y[49], y[4], y[0]) -1*v_445(k, M, y[49], y[3], y[24], y[0]) -1*v_779(k, M, y[49], y[9], y[17]) -1*v_781(k, M, y[49], y[8], y[21])
-HNO2 50 -1*v_459(k, M, y[1], y[2], y[50], y[43]) -1*v_461(k, M, y[2], y[41], y[50], y[0]) -1*v_463(k, M, y[3], y[43], y[50], y[0]) -1*v_465(k, M, y[1], y[50], y[32], y[0]) +1*v_687(k, M, y[2], y[50], y[32])
-NCO 51 -1*v_469(k, M, y[42], y[51], y[30], y[31]) -1*v_471(k, M, y[42], y[33], y[51], y[29]) -1*v_473(k, M, y[42], y[17], y[51], y[21]) +1*v_475(k, M, y[51], y[18], y[30], y[17]) +1*v_477(k, M, y[4], y[51], y[0], y[31]) +1*v_479(k, M, y[2], y[51], y[30], y[0]) +1*v_481(k, M, y[42], y[3], y[51], y[0]) +1*v_483(k, M, y[42], y[4], y[51], y[2]) +1*v_485(k, M, y[42], y[2], y[51], y[1]) +1*v_715(k, M, y[42], y[51], y[0]) +1*v_799(k, M, y[42], y[51], y[0])
-HO2 52 -1*v_497(k, M, y[2], y[52], y[0]) -1*v_499(k, M, y[4], y[1], y[52], y[0]) -1*v_501(k, M, y[3], y[25], y[52], y[0]) -1*v_503(k, M, y[2], y[18], y[52], y[17]) +1*v_505(k, M, y[2], y[4], y[52], y[53]) +1*v_507(k, M, y[2], y[1], y[52], y[53]) +1*v_509(k, M, y[3], y[52], y[53], y[0]) -1*v_513(k, M, y[2], y[4], y[25], y[52]) +1*v_515(k, M, y[9], y[25], y[8], y[52]) +1*v_517(k, M, y[15], y[16], y[25], y[52]) +1*v_519(k, M, y[17], y[25], y[52], y[21]) -1*v_521(k, M, y[2], y[1], y[25], y[52]) -1*v_547(k, M, y[53], y[9], y[52], y[8]) -1*v_549(k, M, y[35], y[33], y[25], y[52]) -1*v_691(k, M, y[53], y[25], y[52]) -1*v_691(k, M, y[53], y[25], y[52]) +1*v_695(k, M, y[25], y[52], y[0]) -1*v_801(k, M, y[2], y[4], y[52])
-H2O2 53 -1*v_505(k, M, y[2], y[4], y[52], y[53]) -1*v_507(k, M, y[2], y[1], y[52], y[53]) -1*v_509(k, M, y[3], y[52], y[53], y[0]) -1*v_511(k, M, y[2], y[1], y[53], y[0]) +1*v_547(k, M, y[53], y[9], y[52], y[8]) +1*v_691(k, M, y[53], y[25], y[52]) +1*v_693(k, M, y[2], y[53])
-HC3N 54 +1*v_525(k, M, y[0], y[30], y[11], y[54]) +1*v_527(k, M, y[0], y[12], y[54], y[31]) +1*v_543(k, M, y[11], y[57], y[54], y[10]) +1*v_561(k, M, y[3], y[58], y[28], y[54]) +1*v_563(k, M, y[59], y[28], y[54], y[0])
-CH3CN 55 -1*v_529(k, M, y[55], y[8], y[0], y[31]) -1*v_531(k, M, y[3], y[55], y[56], y[0]) -1*v_533(k, M, y[2], y[55], y[56], y[1]) -1*v_535(k, M, y[2], y[4], y[55], y[56]) +1*v_697(k, M, y[55], y[56], y[0])
-CH2CN 56 +1*v_531(k, M, y[3], y[55], y[56], y[0]) +1*v_533(k, M, y[2], y[55], y[56], y[1]) +1*v_535(k, M, y[2], y[4], y[55], y[56]) +1*v_545(k, M, y[28], y[13], y[0], y[56]) -1*v_697(k, M, y[55], y[56], y[0])
-C2H3CN 57 +1*v_537(k, M, y[14], y[57], y[30], y[0]) +1*v_539(k, M, y[57], y[13], y[0], y[31]) -1*v_541(k, M, y[45], y[57], y[10], y[31]) -1*v_543(k, M, y[11], y[57], y[54], y[10])
-C3H3 58 +1*v_553(k, M, y[15], y[58], y[8], y[12]) +1*v_555(k, M, y[58], y[8], y[13]) -1*v_557(k, M, y[58], y[2], y[13], y[21]) +1*v_559(k, M, y[19], y[2], y[58], y[12]) -1*v_561(k, M, y[3], y[58], y[28], y[54]) +1*v_567(k, M, y[58], y[0], y[7], y[11]) +1*v_573(k, M, y[58], y[0], y[8], y[12]) +1*v_597(k, M, y[61], y[58], y[0], y[11]) +1*v_699(k, M, y[59], y[58], y[0]) -1*v_701(k, M, y[58], y[64]) -1*v_701(k, M, y[58], y[64]) +1*v_807(k, M, y[64], y[58]) +1*v_807(k, M, y[64], y[58])
-C3H2 59 -1*v_563(k, M, y[59], y[28], y[54], y[0]) +1*v_565(k, M, y[59], y[3], y[7], y[11]) +1*v_569(k, M, y[59], y[7], y[12], y[0]) +1*v_571(k, M, y[11], y[0], y[59], y[5]) -1*v_699(k, M, y[59], y[58], y[0])
-O_1 60 -1*v_575(k, M, y[2], y[3], y[60], y[0]) -1*v_577(k, M, y[2], y[9], y[60], y[8]) -1*v_579(k, M, y[2], y[1], y[60]) -1*v_581(k, M, y[4], y[18], y[60]) -1*v_583(k, M, y[35], y[33], y[2], y[60]) -1*v_585(k, M, y[18], y[60], y[17]) -1*v_587(k, M, y[32], y[25], y[60], y[43]) +1*v_723(k, M, y[3], y[1], y[60]) +1*v_747(k, M, y[18], y[17], y[60]) +1*v_805(k, M, y[4], y[25], y[60])
-CH2_1 61 -1*v_589(k, M, y[61], y[3], y[8], y[0]) -1*v_591(k, M, y[61], y[7], y[3]) -1*v_593(k, M, y[61], y[7], y[1]) -1*v_595(k, M, y[61], y[7], y[17]) -1*v_597(k, M, y[61], y[58], y[0], y[11]) +1*v_729(k, M, y[61], y[3], y[9]) +1*v_731(k, M, y[61], y[9], y[0]) +1*v_737(k, M, y[61], y[8], y[0]) +1*v_761(k, M, y[61], y[16], y[9])
-N_2D 62 -1*v_599(k, M, y[3], y[0], y[62], y[29]) -1*v_601(k, M, y[29], y[2], y[62], y[1]) -1*v_603(k, M, y[35], y[33], y[62], y[29]) -1*v_717(k, M, y[28], y[62])
-He 63 -1*v_605(k, M, y[63]) +1*v_605(k, M, y[63])
-C6H6 64 +1*v_701(k, M, y[58], y[64]) -1*v_807(k, M, y[64], y[58]) -1*v_809(k, M, y[64], y[11])
+OH: y[0], H2: y[1], H2O: y[2], H: y[3], O: y[4], CH: y[5], C: y[6], CH2: y[7], CH3: y[8], CH4: y[9], C2: y[10], C2H2: y[11], C2H: y[12], C2H3: y[13], C2H4: y[14], C2H5: y[15], C2H6: y[16], CO: y[17], CO2: y[18], CH2OH: y[19], H2CO: y[20], HCO: y[21], CH3O: y[22], CH3OH: y[23], CH3CO: y[24], O2: y[25], H2CCO: y[26], HCCO: y[27], N: y[28], NH: y[29], CN: y[30], HCN: y[31], NO: y[32], NH2: y[33], N2: y[34], NH3: y[35], N2H2: y[36], N2H: y[37], N2H3: y[38], N2H4: y[39], HNO: y[40], H2CN: y[41], HNCO: y[42], NO2: y[43], N2O: y[44], C4H2: y[45], CH2NH2: y[46], CH2NH: y[47], CH3NH2: y[48], CH3CHO: y[49], HNO2: y[50], NCO: y[51], HO2: y[52], H2O2: y[53], HC3N: y[54], CH3CN: y[55], CH2CN: y[56], C2H3CN: y[57], C3H3: y[58], C3H2: y[59], C3H4: y[60], C4H3: y[61], C4H5: y[62], C6H6: y[63], C6H5: y[64], O_1: y[65], CH2_1: y[66], N_2D: y[67], He: y[68],
+
+OH 0 -1*v_1(k, M, y[0], y[3], y[1], y[2]) +1*v_3(k, M, y[0], y[4], y[1], y[3]) +1*v_5(k, M, y[0], y[4], y[2]) +1*v_5(k, M, y[0], y[4], y[2]) -1*v_37(k, M, y[0], y[3], y[18], y[17]) -1*v_53(k, M, y[8], y[7], y[0], y[2]) -1*v_55(k, M, y[12], y[7], y[17], y[0]) -1*v_71(k, M, y[0], y[8], y[11], y[17]) -1*v_83(k, M, y[12], y[4], y[11], y[0]) +1*v_85(k, M, y[12], y[0], y[11], y[2]) -1*v_93(k, M, y[0], y[13], y[14], y[2]) -1*v_99(k, M, y[0], y[16], y[15], y[2]) +1*v_101(k, M, y[0], y[5], y[4], y[6]) +1*v_105(k, M, y[8], y[4], y[7], y[0]) -1*v_107(k, M, y[8], y[4], y[9], y[0]) +1*v_109(k, M, y[0], y[4], y[16], y[15]) -1*v_111(k, M, y[0], y[3], y[17], y[6]) -1*v_113(k, M, y[0], y[7], y[5], y[2]) -1*v_115(k, M, y[0], y[8], y[9], y[2]) -1*v_117(k, M, y[0], y[13], y[11], y[2]) -1*v_119(k, M, y[0], y[15], y[14], y[2]) +1*v_121(k, M, y[0], y[19], y[8], y[3]) -1*v_133(k, M, y[0], y[21], y[17], y[2]) +1*v_139(k, M, y[22], y[4], y[20], y[0]) -1*v_141(k, M, y[22], y[20], y[0], y[2]) -1*v_149(k, M, y[0], y[7], y[20], y[3]) +1*v_167(k, M, y[0], y[4], y[13], y[11]) +1*v_177(k, M, y[0], y[19], y[7], y[14]) -1*v_197(k, M, y[0], y[4], y[25], y[3]) +1*v_209(k, M, y[20], y[4], y[21], y[0]) -1*v_227(k, M, y[0], y[3], y[32], y[28]) +1*v_257(k, M, y[0], y[4], y[29], y[28]) +1*v_261(k, M, y[0], y[4], y[33], y[35]) -1*v_263(k, M, y[0], y[29], y[28], y[2]) -1*v_265(k, M, y[0], y[4], y[30], y[31]) -1*v_267(k, M, y[0], y[31], y[30], y[2]) -1*v_269(k, M, y[0], y[31], y[17], y[33]) -1*v_271(k, M, y[0], y[4], y[29], y[33]) -1*v_273(k, M, y[0], y[29], y[33], y[2]) +1*v_295(k, M, y[0], y[34], y[29], y[32]) -1*v_311(k, M, y[0], y[33], y[35], y[2]) -1*v_333(k, M, y[0], y[37], y[2], y[36]) +1*v_337(k, M, y[38], y[4], y[0], y[36]) -1*v_339(k, M, y[38], y[2], y[0], y[36]) -1*v_345(k, M, y[37], y[34], y[0], y[2]) +1*v_347(k, M, y[37], y[4], y[34], y[0]) +1*v_351(k, M, y[37], y[0], y[32], y[33]) +1*v_355(k, M, y[37], y[4], y[0], y[36]) -1*v_359(k, M, y[0], y[31], y[41], y[2]) -1*v_365(k, M, y[0], y[31], y[42], y[3]) +1*v_377(k, M, y[8], y[41], y[32], y[0]) +1*v_387(k, M, y[8], y[20], y[25], y[0]) +1*v_395(k, M, y[0], y[29], y[32], y[25]) +1*v_399(k, M, y[0], y[40], y[25], y[33]) +1*v_405(k, M, y[0], y[3], y[34], y[44]) -1*v_425(k, M, y[0], y[19], y[46], y[33]) -1*v_445(k, M, y[0], y[40], y[29], y[3]) -1*v_447(k, M, y[0], y[40], y[32], y[2]) +1*v_449(k, M, y[0], y[40], y[32], y[4]) -1*v_457(k, M, y[50], y[43], y[0], y[2]) +1*v_459(k, M, y[50], y[3], y[0], y[40]) -1*v_477(k, M, y[0], y[3], y[51], y[30]) +1*v_481(k, M, y[42], y[4], y[51], y[0]) -1*v_483(k, M, y[42], y[51], y[0], y[2]) +1*v_495(k, M, y[0], y[3], y[52]) +1*v_495(k, M, y[0], y[3], y[52]) +1*v_501(k, M, y[0], y[18], y[52], y[17]) +1*v_503(k, M, y[0], y[4], y[52], y[53]) -1*v_505(k, M, y[0], y[52], y[53], y[2]) +1*v_509(k, M, y[0], y[3], y[53], y[2]) +1*v_511(k, M, y[0], y[4], y[25], y[52]) -1*v_519(k, M, y[0], y[25], y[52], y[2]) -1*v_531(k, M, y[0], y[55], y[2], y[56]) +1*v_533(k, M, y[0], y[55], y[4], y[56]) -1*v_557(k, M, y[0], y[58], y[13], y[21]) +1*v_559(k, M, y[12], y[19], y[58], y[0]) -1*v_599(k, M, y[23], y[22], y[0], y[2]) -1*v_601(k, M, y[23], y[19], y[0], y[2]) +1*v_603(k, M, y[0], y[43], y[32], y[52]) +1*v_615(k, M, y[0], y[65], y[16], y[15]) +1*v_617(k, M, y[0], y[65], y[1], y[3]) +1*v_619(k, M, y[0], y[65], y[8], y[9]) +1*v_621(k, M, y[0], y[65], y[2]) +1*v_621(k, M, y[0], y[65], y[2]) +1*v_625(k, M, y[0], y[65], y[33], y[35]) +1*v_645(k, M, y[67], y[29], y[0], y[2]) -1*v_653(k, M, y[0], y[8], y[2], y[66]) +1*v_659(k, M, y[0], y[3], y[4]) -1*v_661(k, M, y[0], y[3], y[2]) -1*v_703(k, M, y[0], y[11], y[24]) -1*v_737(k, M, y[0], y[50], y[32]) -1*v_743(k, M, y[0], y[53]) -1*v_743(k, M, y[0], y[53]) -1*v_781(k, M, y[0], y[8], y[23]) +1*v_783(k, M, y[0], y[3], y[2]) -1*v_827(k, M, y[0], y[3], y[4]) +1*v_835(k, M, y[23], y[8], y[0]) +1*v_863(k, M, y[0], y[4], y[52]) +1*v_877(k, M, y[50], y[32], y[0])
+H2 1 -1*v_1(k, M, y[0], y[3], y[1], y[2]) -1*v_3(k, M, y[0], y[4], y[1], y[3]) +1*v_7(k, M, y[3], y[5], y[1], y[6]) +1*v_9(k, M, y[3], y[5], y[7], y[1]) -1*v_11(k, M, y[8], y[7], y[1], y[3]) +1*v_13(k, M, y[8], y[3], y[1], y[9]) -1*v_19(k, M, y[12], y[3], y[11], y[1]) +1*v_23(k, M, y[3], y[1], y[13], y[11]) -1*v_25(k, M, y[13], y[1], y[14], y[3]) +1*v_33(k, M, y[3], y[1], y[15], y[14]) +1*v_35(k, M, y[3], y[16], y[15], y[1]) +1*v_39(k, M, y[8], y[5], y[11], y[1]) -1*v_73(k, M, y[12], y[3], y[10], y[1]) +1*v_123(k, M, y[20], y[1], y[21], y[3]) +1*v_131(k, M, y[3], y[1], y[21], y[17]) +1*v_143(k, M, y[23], y[3], y[22], y[1]) +1*v_155(k, M, y[23], y[3], y[19], y[1]) +1*v_173(k, M, y[4], y[7], y[1], y[17]) +1*v_199(k, M, y[22], y[3], y[1], y[20]) +1*v_229(k, M, y[3], y[29], y[1], y[28]) +1*v_231(k, M, y[3], y[29], y[1], y[33]) -1*v_233(k, M, y[3], y[1], y[31], y[30]) +1*v_303(k, M, y[34], y[29], y[1]) -1*v_305(k, M, y[3], y[35], y[1], y[33]) +1*v_309(k, M, y[4], y[1], y[32], y[33]) +1*v_329(k, M, y[37], y[3], y[1], y[36]) +1*v_335(k, M, y[38], y[3], y[1], y[36]) +1*v_343(k, M, y[37], y[3], y[1], y[34]) +1*v_369(k, M, y[8], y[31], y[1], y[28]) +1*v_375(k, M, y[1], y[33], y[36]) +1*v_379(k, M, y[39], y[3], y[1], y[38]) +1*v_419(k, M, y[47], y[3], y[46], y[1]) +1*v_427(k, M, y[48], y[46], y[1], y[3]) +1*v_429(k, M, y[47], y[3], y[41], y[1]) +1*v_431(k, M, y[8], y[47], y[1], y[33]) +1*v_443(k, M, y[3], y[49], y[1], y[24]) +1*v_451(k, M, y[40], y[1], y[32], y[3]) +1*v_461(k, M, y[50], y[3], y[43], y[1]) +1*v_479(k, M, y[42], y[3], y[51], y[1]) -1*v_493(k, M, y[40], y[29], y[1], y[2]) +1*v_499(k, M, y[3], y[1], y[25], y[52]) +1*v_507(k, M, y[3], y[1], y[52], y[53]) +1*v_521(k, M, y[3], y[1], y[41], y[31]) +1*v_529(k, M, y[3], y[1], y[55], y[56]) +1*v_551(k, M, y[37], y[35], y[1], y[28]) +1*v_561(k, M, y[58], y[54], y[1], y[28]) +1*v_565(k, M, y[7], y[1], y[11], y[59]) +1*v_575(k, M, y[38], y[33], y[1], y[35]) -1*v_589(k, M, y[63], y[1], y[64], y[3]) -1*v_617(k, M, y[0], y[65], y[1], y[3]) -1*v_633(k, M, y[8], y[3], y[1], y[66]) -1*v_635(k, M, y[7], y[1], y[66]) +1*v_635(k, M, y[7], y[1], y[66]) -1*v_643(k, M, y[67], y[3], y[29], y[1]) +1*v_657(k, M, y[3], y[1]) -1*v_675(k, M, y[7], y[1], y[6]) -1*v_681(k, M, y[8], y[5], y[1]) +1*v_687(k, M, y[1], y[11], y[14]) +1*v_689(k, M, y[1], y[16], y[14]) -1*v_709(k, M, y[20], y[1], y[17]) -1*v_715(k, M, y[33], y[1], y[28]) +1*v_785(k, M, y[65], y[1], y[2]) +1*v_791(k, M, y[1], y[9], y[66]) +1*v_795(k, M, y[5], y[1], y[3], y[9]) +1*v_797(k, M, y[8], y[5], y[1]) -1*v_803(k, M, y[3], y[1]) +1*v_811(k, M, y[1], y[11], y[14]) +1*v_817(k, M, y[1], y[16], y[14]) +1*v_821(k, M, y[1], y[16], y[11]) +1*v_821(k, M, y[1], y[16], y[11]) +1*v_831(k, M, y[20], y[1], y[17]) +1*v_837(k, M, y[23], y[20], y[1])
+H2O 2 +1*v_1(k, M, y[0], y[3], y[1], y[2]) -1*v_5(k, M, y[0], y[4], y[2]) +1*v_53(k, M, y[8], y[7], y[0], y[2]) -1*v_85(k, M, y[12], y[0], y[11], y[2]) +1*v_93(k, M, y[0], y[13], y[14], y[2]) +1*v_99(k, M, y[0], y[16], y[15], y[2]) +1*v_113(k, M, y[0], y[7], y[5], y[2]) +1*v_115(k, M, y[0], y[8], y[9], y[2]) +1*v_117(k, M, y[0], y[13], y[11], y[2]) +1*v_119(k, M, y[0], y[15], y[14], y[2]) +1*v_133(k, M, y[0], y[21], y[17], y[2]) +1*v_141(k, M, y[22], y[20], y[0], y[2]) +1*v_145(k, M, y[23], y[3], y[8], y[2]) +1*v_263(k, M, y[0], y[29], y[28], y[2]) +1*v_267(k, M, y[0], y[31], y[30], y[2]) +1*v_273(k, M, y[0], y[29], y[33], y[2]) +1*v_293(k, M, y[8], y[31], y[32], y[2]) +1*v_297(k, M, y[34], y[32], y[33], y[2]) +1*v_311(k, M, y[0], y[33], y[35], y[2]) +1*v_333(k, M, y[0], y[37], y[2], y[36]) +1*v_339(k, M, y[38], y[2], y[0], y[36]) +1*v_345(k, M, y[37], y[34], y[0], y[2]) +1*v_359(k, M, y[0], y[31], y[41], y[2]) +1*v_385(k, M, y[7], y[25], y[2], y[17]) +1*v_409(k, M, y[43], y[2], y[33], y[44]) +1*v_411(k, M, y[40], y[2], y[44]) -1*v_439(k, M, y[20], y[5], y[3], y[2]) +1*v_447(k, M, y[0], y[40], y[32], y[2]) +1*v_457(k, M, y[50], y[43], y[0], y[2]) +1*v_463(k, M, y[50], y[3], y[32], y[2]) +1*v_483(k, M, y[42], y[51], y[0], y[2]) +1*v_493(k, M, y[40], y[29], y[1], y[2]) +1*v_497(k, M, y[3], y[52], y[4], y[2]) +1*v_505(k, M, y[0], y[52], y[53], y[2]) +1*v_509(k, M, y[0], y[3], y[53], y[2]) +1*v_519(k, M, y[0], y[25], y[52], y[2]) +1*v_531(k, M, y[0], y[55], y[2], y[56]) +1*v_599(k, M, y[23], y[22], y[0], y[2]) +1*v_601(k, M, y[23], y[19], y[0], y[2]) -1*v_621(k, M, y[0], y[65], y[2]) -1*v_637(k, M, y[7], y[2], y[66]) +1*v_637(k, M, y[7], y[2], y[66]) -1*v_645(k, M, y[67], y[29], y[0], y[2]) +1*v_653(k, M, y[0], y[8], y[2], y[66]) +1*v_661(k, M, y[0], y[3], y[2]) -1*v_697(k, M, y[5], y[19], y[2]) -1*v_783(k, M, y[0], y[3], y[2]) -1*v_785(k, M, y[65], y[1], y[2]) -1*v_787(k, M, y[3], y[4], y[2])
+H 3 +1*v_1(k, M, y[0], y[3], y[1], y[2]) +1*v_3(k, M, y[0], y[4], y[1], y[3]) -1*v_7(k, M, y[3], y[5], y[1], y[6]) -1*v_9(k, M, y[3], y[5], y[7], y[1]) +1*v_11(k, M, y[8], y[7], y[1], y[3]) -1*v_13(k, M, y[8], y[3], y[1], y[9]) +1*v_15(k, M, y[5], y[10], y[3], y[6]) +1*v_17(k, M, y[8], y[3], y[11], y[6]) +1*v_19(k, M, y[12], y[3], y[11], y[1]) +1*v_21(k, M, y[5], y[7], y[11], y[3]) -1*v_23(k, M, y[3], y[1], y[13], y[11]) +1*v_25(k, M, y[13], y[1], y[14], y[3]) +1*v_27(k, M, y[5], y[14], y[3], y[9]) +1*v_29(k, M, y[8], y[7], y[14], y[3]) -1*v_31(k, M, y[8], y[3], y[15]) -1*v_33(k, M, y[3], y[1], y[15], y[14]) -1*v_35(k, M, y[3], y[16], y[15], y[1]) +1*v_37(k, M, y[0], y[3], y[18], y[17]) +1*v_43(k, M, y[7], y[11], y[3]) +1*v_43(k, M, y[7], y[11], y[3]) +1*v_47(k, M, y[7], y[13], y[3]) +1*v_73(k, M, y[12], y[3], y[10], y[1]) +1*v_103(k, M, y[4], y[5], y[17], y[3]) +1*v_111(k, M, y[0], y[3], y[17], y[6]) -1*v_121(k, M, y[0], y[19], y[8], y[3]) -1*v_123(k, M, y[20], y[1], y[21], y[3]) -1*v_131(k, M, y[3], y[1], y[21], y[17]) +1*v_137(k, M, y[8], y[4], y[20], y[3]) -1*v_143(k, M, y[23], y[3], y[22], y[1]) -1*v_145(k, M, y[23], y[3], y[8], y[2]) +1*v_147(k, M, y[7], y[17], y[4], y[3]) +1*v_147(k, M, y[7], y[17], y[4], y[3]) +1*v_149(k, M, y[0], y[7], y[20], y[3]) -1*v_155(k, M, y[23], y[3], y[19], y[1]) -1*v_193(k, M, y[8], y[3], y[21], y[24]) +1*v_197(k, M, y[0], y[4], y[25], y[3]) -1*v_199(k, M, y[22], y[3], y[1], y[20]) -1*v_201(k, M, y[8], y[3], y[17], y[26]) +1*v_203(k, M, y[4], y[13], y[3], y[26]) +1*v_205(k, M, y[4], y[11], y[3], y[27]) -1*v_207(k, M, y[3], y[7], y[17], y[27]) +1*v_219(k, M, y[5], y[30], y[3], y[28]) +1*v_223(k, M, y[7], y[31], y[3], y[28]) +1*v_227(k, M, y[0], y[3], y[32], y[28]) -1*v_229(k, M, y[3], y[29], y[1], y[28]) -1*v_231(k, M, y[3], y[29], y[1], y[33]) +1*v_233(k, M, y[3], y[1], y[31], y[30]) +1*v_259(k, M, y[4], y[29], y[32], y[3]) +1*v_281(k, M, y[34], y[29], y[3], y[28]) +1*v_301(k, M, y[3], y[29], y[30], y[6]) +1*v_305(k, M, y[3], y[35], y[1], y[33]) +1*v_323(k, M, y[3], y[29], y[33], y[36]) -1*v_329(k, M, y[37], y[3], y[1], y[36]) -1*v_335(k, M, y[38], y[3], y[1], y[36]) -1*v_343(k, M, y[37], y[3], y[1], y[34]) +1*v_361(k, M, y[42], y[7], y[32], y[3]) -1*v_363(k, M, y[42], y[3], y[33], y[17]) +1*v_365(k, M, y[0], y[31], y[42], y[3]) +1*v_367(k, M, y[8], y[3], y[41], y[28]) -1*v_379(k, M, y[39], y[3], y[1], y[38]) -1*v_405(k, M, y[0], y[3], y[34], y[44]) +1*v_407(k, M, y[3], y[29], y[32], y[44]) +1*v_417(k, M, y[12], y[3], y[11], y[45]) -1*v_419(k, M, y[47], y[3], y[46], y[1]) -1*v_427(k, M, y[48], y[46], y[1], y[3]) -1*v_429(k, M, y[47], y[3], y[41], y[1]) +1*v_433(k, M, y[8], y[3], y[46], y[33]) -1*v_437(k, M, y[38], y[3], y[33]) +1*v_439(k, M, y[20], y[5], y[3], y[2]) +1*v_441(k, M, y[4], y[49], y[15], y[3]) -1*v_443(k, M, y[3], y[49], y[1], y[24]) +1*v_445(k, M, y[0], y[40], y[29], y[3]) -1*v_451(k, M, y[40], y[1], y[32], y[3]) -1*v_459(k, M, y[50], y[3], y[0], y[40]) -1*v_461(k, M, y[50], y[3], y[43], y[1]) -1*v_463(k, M, y[50], y[3], y[32], y[2]) +1*v_475(k, M, y[51], y[31], y[3], y[4]) +1*v_477(k, M, y[0], y[3], y[51], y[30]) -1*v_479(k, M, y[42], y[3], y[51], y[1]) +1*v_491(k, M, y[4], y[3], y[33], y[40]) -1*v_495(k, M, y[0], y[3], y[52]) -1*v_497(k, M, y[3], y[52], y[4], y[2]) -1*v_499(k, M, y[3], y[1], y[25], y[52]) -1*v_507(k, M, y[3], y[1], y[52], y[53]) -1*v_509(k, M, y[0], y[3], y[53], y[2]) -1*v_521(k, M, y[3], y[1], y[41], y[31]) +1*v_523(k, M, y[54], y[11], y[30], y[3]) +1*v_525(k, M, y[12], y[31], y[54], y[3]) -1*v_527(k, M, y[8], y[3], y[31], y[55]) -1*v_529(k, M, y[3], y[1], y[55], y[56]) +1*v_535(k, M, y[57], y[3], y[30], y[14]) +1*v_537(k, M, y[57], y[31], y[13], y[3]) +1*v_543(k, M, y[13], y[3], y[28], y[56]) +1*v_563(k, M, y[54], y[59], y[3], y[28]) +1*v_567(k, M, y[7], y[11], y[3], y[58]) +1*v_569(k, M, y[12], y[7], y[3], y[59]) +1*v_571(k, M, y[5], y[11], y[3], y[59]) +1*v_573(k, M, y[8], y[58], y[12], y[3]) +1*v_581(k, M, y[8], y[3], y[11], y[60]) +1*v_583(k, M, y[5], y[61], y[58], y[3]) +1*v_585(k, M, y[12], y[62], y[15], y[3]) +1*v_587(k, M, y[62], y[3], y[11], y[63]) +1*v_589(k, M, y[63], y[1], y[64], y[3]) +1*v_611(k, M, y[8], y[3], y[30], y[56]) +1*v_617(k, M, y[0], y[65], y[1], y[3]) +1*v_633(k, M, y[8], y[3], y[1], y[66]) +1*v_641(k, M, y[58], y[11], y[3], y[66]) +1*v_643(k, M, y[67], y[3], y[29], y[1]) -1*v_657(k, M, y[3], y[1]) -1*v_657(k, M, y[3], y[1]) -1*v_659(k, M, y[0], y[3], y[4]) -1*v_661(k, M, y[0], y[3], y[2]) -1*v_663(k, M, y[3], y[5], y[7]) -1*v_665(k, M, y[8], y[3], y[9]) -1*v_667(k, M, y[13], y[3], y[11]) -1*v_669(k, M, y[3], y[13], y[14]) -1*v_671(k, M, y[3], y[15], y[14]) -1*v_673(k, M, y[3], y[16], y[15]) +1*v_677(k, M, y[5], y[3], y[6]) -1*v_679(k, M, y[8], y[7], y[3]) -1*v_685(k, M, y[12], y[3], y[11]) +1*v_693(k, M, y[20], y[19], y[3]) -1*v_695(k, M, y[3], y[21], y[17]) +1*v_699(k, M, y[22], y[3], y[20]) -1*v_701(k, M, y[23], y[19], y[3]) -1*v_707(k, M, y[20], y[3], y[21]) -1*v_711(k, M, y[3], y[35], y[33]) -1*v_713(k, M, y[3], y[30], y[31]) +1*v_719(k, M, y[38], y[3], y[36]) -1*v_721(k, M, y[31], y[41], y[3]) +1*v_731(k, M, y[37], y[34], y[3]) -1*v_735(k, M, y[3], y[32], y[40]) -1*v_745(k, M, y[3], y[25], y[52]) -1*v_747(k, M, y[3], y[55], y[56]) -1*v_749(k, M, y[3], y[58], y[59]) +1*v_753(k, M, y[37], y[3], y[36]) -1*v_755(k, M, y[58], y[60], y[3]) -1*v_759(k, M, y[3], y[63], y[64]) -1*v_761(k, M, y[3], y[61], y[45]) +1*v_767(k, M, y[12], y[3], y[10]) +1*v_771(k, M, y[28], y[29], y[3]) +1*v_777(k, M, y[42], y[3], y[51]) +1*v_783(k, M, y[0], y[3], y[2]) +1*v_787(k, M, y[3], y[4], y[2]) +1*v_787(k, M, y[3], y[4], y[2]) +1*v_789(k, M, y[8], y[3], y[9]) +1*v_793(k, M, y[3], y[9], y[66]) +1*v_793(k, M, y[3], y[9], y[66]) +1*v_795(k, M, y[5], y[1], y[3], y[9]) +1*v_799(k, M, y[8], y[3], y[66]) +1*v_803(k, M, y[3], y[1]) +1*v_803(k, M, y[3], y[1]) +1*v_805(k, M, y[12], y[3], y[11]) +1*v_813(k, M, y[3], y[11], y[14]) +1*v_813(k, M, y[3], y[11], y[14]) +1*v_815(k, M, y[13], y[14], y[3]) +1*v_819(k, M, y[3], y[16], y[14]) +1*v_819(k, M, y[3], y[16], y[14]) +1*v_827(k, M, y[0], y[3], y[4]) +1*v_829(k, M, y[3], y[21], y[17]) +1*v_833(k, M, y[20], y[21], y[3]) +1*v_839(k, M, y[23], y[22], y[3]) +1*v_847(k, M, y[3], y[33], y[35]) +1*v_849(k, M, y[3], y[29], y[35]) +1*v_849(k, M, y[3], y[29], y[35]) +1*v_851(k, M, y[31], y[30], y[3]) +1*v_857(k, M, y[39], y[3], y[38]) +1*v_861(k, M, y[42], y[3], y[51]) +1*v_871(k, M, y[7], y[5], y[3]) +1*v_873(k, M, y[64], y[63], y[3])
+O 4 -1*v_3(k, M, y[0], y[4], y[1], y[3]) -1*v_5(k, M, y[0], y[4], y[2]) -1*v_41(k, M, y[4], y[10], y[17], y[6]) -1*v_57(k, M, y[4], y[7], y[11], y[17]) -1*v_81(k, M, y[12], y[4], y[5], y[17]) +1*v_83(k, M, y[12], y[4], y[11], y[0]) -1*v_101(k, M, y[0], y[5], y[4], y[6]) -1*v_103(k, M, y[4], y[5], y[17], y[3]) -1*v_105(k, M, y[8], y[4], y[7], y[0]) +1*v_107(k, M, y[8], y[4], y[9], y[0]) -1*v_109(k, M, y[0], y[4], y[16], y[15]) -1*v_125(k, M, y[21], y[4], y[8], y[14]) -1*v_137(k, M, y[8], y[4], y[20], y[3]) -1*v_139(k, M, y[22], y[4], y[20], y[0]) -1*v_147(k, M, y[7], y[17], y[4], y[3]) -1*v_167(k, M, y[0], y[4], y[13], y[11]) -1*v_173(k, M, y[4], y[7], y[1], y[17]) -1*v_197(k, M, y[0], y[4], y[25], y[3]) -1*v_203(k, M, y[4], y[13], y[3], y[26]) -1*v_205(k, M, y[4], y[11], y[3], y[27]) -1*v_209(k, M, y[20], y[4], y[21], y[0]) -1*v_257(k, M, y[0], y[4], y[29], y[28]) -1*v_259(k, M, y[4], y[29], y[32], y[3]) -1*v_261(k, M, y[0], y[4], y[33], y[35]) +1*v_265(k, M, y[0], y[4], y[30], y[31]) +1*v_271(k, M, y[0], y[4], y[29], y[33]) -1*v_275(k, M, y[4], y[30], y[17], y[28]) +1*v_279(k, M, y[34], y[32], y[28], y[4]) +1*v_287(k, M, y[4], y[30], y[32], y[6]) +1*v_289(k, M, y[5], y[31], y[32], y[4]) -1*v_309(k, M, y[4], y[1], y[32], y[33]) -1*v_321(k, M, y[31], y[29], y[17], y[4]) -1*v_337(k, M, y[38], y[4], y[0], y[36]) -1*v_347(k, M, y[37], y[4], y[34], y[0]) -1*v_355(k, M, y[37], y[4], y[0], y[36]) -1*v_373(k, M, y[37], y[4], y[29], y[32]) -1*v_381(k, M, y[22], y[4], y[8], y[25]) +1*v_383(k, M, y[4], y[25], y[17], y[6]) +1*v_393(k, M, y[4], y[32], y[25], y[28]) +1*v_397(k, M, y[40], y[29], y[25], y[4]) -1*v_401(k, M, y[4], y[43], y[25], y[32]) -1*v_403(k, M, y[4], y[25], y[34], y[44]) -1*v_441(k, M, y[4], y[49], y[15], y[3]) -1*v_449(k, M, y[0], y[40], y[32], y[4]) -1*v_475(k, M, y[51], y[31], y[3], y[4]) -1*v_481(k, M, y[42], y[4], y[51], y[0]) -1*v_491(k, M, y[4], y[3], y[33], y[40]) +1*v_497(k, M, y[3], y[52], y[4], y[2]) -1*v_503(k, M, y[0], y[4], y[52], y[53]) -1*v_511(k, M, y[0], y[4], y[25], y[52]) -1*v_533(k, M, y[0], y[55], y[4], y[56]) -1*v_545(k, M, y[21], y[4], y[31], y[56]) -1*v_595(k, M, y[20], y[4], y[7], y[14]) -1*v_597(k, M, y[4], y[13], y[21], y[7]) +1*v_607(k, M, y[4], y[43], y[28], y[44]) +1*v_623(k, M, y[65], y[4], y[18]) +1*v_631(k, M, y[65], y[34], y[4]) +1*v_649(k, M, y[67], y[4], y[32], y[25]) -1*v_659(k, M, y[0], y[3], y[4]) -1*v_691(k, M, y[4], y[18], y[17]) -1*v_727(k, M, y[4], y[43], y[32]) +1*v_729(k, M, y[34], y[4], y[44]) -1*v_769(k, M, y[4], y[17], y[6]) -1*v_773(k, M, y[4], y[32], y[28]) -1*v_775(k, M, y[4], y[25]) -1*v_775(k, M, y[4], y[25]) +1*v_787(k, M, y[3], y[4], y[2]) +1*v_801(k, M, y[4], y[17], y[6]) +1*v_807(k, M, y[4], y[17], y[18]) +1*v_827(k, M, y[0], y[3], y[4]) +1*v_853(k, M, y[4], y[32], y[28]) +1*v_855(k, M, y[4], y[43], y[32]) +1*v_863(k, M, y[0], y[4], y[52]) +1*v_865(k, M, y[4], y[25]) +1*v_865(k, M, y[4], y[25]) +1*v_867(k, M, y[65], y[4], y[25])
+CH 5 -1*v_7(k, M, y[3], y[5], y[1], y[6]) +1*v_9(k, M, y[3], y[5], y[7], y[1]) -1*v_15(k, M, y[5], y[10], y[3], y[6]) -1*v_21(k, M, y[5], y[7], y[11], y[3]) -1*v_27(k, M, y[5], y[14], y[3], y[9]) -1*v_39(k, M, y[8], y[5], y[11], y[1]) +1*v_45(k, M, y[8], y[7], y[5]) +1*v_77(k, M, y[12], y[7], y[5], y[11]) +1*v_81(k, M, y[12], y[4], y[5], y[17]) -1*v_101(k, M, y[0], y[5], y[4], y[6]) -1*v_103(k, M, y[4], y[5], y[17], y[3]) +1*v_113(k, M, y[0], y[7], y[5], y[2]) -1*v_135(k, M, y[5], y[21], y[17], y[18]) -1*v_169(k, M, y[8], y[5], y[11], y[14]) -1*v_217(k, M, y[5], y[29], y[28], y[6]) -1*v_219(k, M, y[5], y[30], y[3], y[28]) +1*v_221(k, M, y[7], y[5], y[29], y[28]) +1*v_235(k, M, y[7], y[5], y[30], y[31]) -1*v_289(k, M, y[5], y[31], y[32], y[4]) -1*v_291(k, M, y[5], y[29], y[32], y[17]) -1*v_315(k, M, y[5], y[33], y[7], y[35]) -1*v_439(k, M, y[20], y[5], y[3], y[2]) -1*v_571(k, M, y[5], y[11], y[3], y[59]) -1*v_583(k, M, y[5], y[61], y[58], y[3]) -1*v_663(k, M, y[3], y[5], y[7]) -1*v_677(k, M, y[5], y[3], y[6]) -1*v_681(k, M, y[8], y[5], y[1]) -1*v_697(k, M, y[5], y[19], y[2]) +1*v_795(k, M, y[5], y[1], y[3], y[9]) +1*v_797(k, M, y[8], y[5], y[1]) +1*v_871(k, M, y[7], y[5], y[3])
+C 6 +1*v_7(k, M, y[3], y[5], y[1], y[6]) -1*v_15(k, M, y[5], y[10], y[3], y[6]) -1*v_17(k, M, y[8], y[3], y[11], y[6]) +1*v_41(k, M, y[4], y[10], y[17], y[6]) +1*v_101(k, M, y[0], y[5], y[4], y[6]) -1*v_111(k, M, y[0], y[3], y[17], y[6]) +1*v_217(k, M, y[5], y[29], y[28], y[6]) +1*v_225(k, M, y[10], y[30], y[28], y[6]) +1*v_283(k, M, y[34], y[30], y[28], y[6]) -1*v_287(k, M, y[4], y[30], y[32], y[6]) -1*v_301(k, M, y[3], y[29], y[30], y[6]) -1*v_383(k, M, y[4], y[25], y[17], y[6]) -1*v_593(k, M, y[11], y[59], y[6]) -1*v_675(k, M, y[7], y[1], y[6]) +1*v_677(k, M, y[5], y[3], y[6]) -1*v_739(k, M, y[10], y[6]) -1*v_739(k, M, y[10], y[6]) -1*v_769(k, M, y[4], y[17], y[6]) +1*v_801(k, M, y[4], y[17], y[6])
+CH2 7 -1*v_9(k, M, y[3], y[5], y[7], y[1]) -1*v_11(k, M, y[8], y[7], y[1], y[3]) -1*v_21(k, M, y[5], y[7], y[11], y[3]) -1*v_29(k, M, y[8], y[7], y[14], y[3]) -1*v_43(k, M, y[7], y[11], y[3]) -1*v_43(k, M, y[7], y[11], y[3]) -1*v_45(k, M, y[8], y[7], y[5]) -1*v_45(k, M, y[8], y[7], y[5]) -1*v_47(k, M, y[7], y[13], y[3]) -1*v_47(k, M, y[7], y[13], y[3]) -1*v_49(k, M, y[8], y[7], y[9]) -1*v_51(k, M, y[8], y[7], y[15], y[14]) +1*v_53(k, M, y[8], y[7], y[0], y[2]) +1*v_55(k, M, y[12], y[7], y[17], y[0]) +1*v_57(k, M, y[4], y[7], y[11], y[17]) +1*v_59(k, M, y[8], y[7], y[12], y[11]) -1*v_77(k, M, y[12], y[7], y[5], y[11]) +1*v_105(k, M, y[8], y[4], y[7], y[0]) -1*v_113(k, M, y[0], y[7], y[5], y[2]) -1*v_147(k, M, y[7], y[17], y[4], y[3]) -1*v_149(k, M, y[0], y[7], y[20], y[3]) -1*v_151(k, M, y[20], y[7], y[17], y[18]) -1*v_171(k, M, y[8], y[7], y[13], y[11]) -1*v_173(k, M, y[4], y[7], y[1], y[17]) -1*v_175(k, M, y[8], y[7], y[21], y[17]) -1*v_177(k, M, y[0], y[19], y[7], y[14]) -1*v_179(k, M, y[20], y[19], y[7], y[8]) -1*v_181(k, M, y[22], y[7], y[8], y[20]) -1*v_183(k, M, y[23], y[7], y[22], y[8]) -1*v_185(k, M, y[23], y[7], y[19], y[8]) +1*v_207(k, M, y[3], y[7], y[17], y[27]) -1*v_221(k, M, y[7], y[5], y[29], y[28]) -1*v_223(k, M, y[7], y[31], y[3], y[28]) -1*v_235(k, M, y[7], y[5], y[30], y[31]) +1*v_241(k, M, y[8], y[7], y[30], y[31]) -1*v_285(k, M, y[29], y[34], y[7], y[31]) +1*v_315(k, M, y[5], y[33], y[7], y[35]) -1*v_361(k, M, y[42], y[7], y[32], y[3]) +1*v_371(k, M, y[8], y[7], y[35], y[33]) -1*v_385(k, M, y[7], y[25], y[2], y[17]) -1*v_565(k, M, y[7], y[1], y[11], y[59]) -1*v_567(k, M, y[7], y[11], y[3], y[58]) -1*v_569(k, M, y[12], y[7], y[3], y[59]) +1*v_595(k, M, y[20], y[4], y[7], y[14]) +1*v_597(k, M, y[4], y[13], y[21], y[7]) +1*v_635(k, M, y[7], y[1], y[66]) +1*v_637(k, M, y[7], y[2], y[66]) +1*v_639(k, M, y[7], y[17], y[66]) +1*v_663(k, M, y[3], y[5], y[7]) +1*v_675(k, M, y[7], y[1], y[6]) -1*v_679(k, M, y[8], y[7], y[3]) -1*v_757(k, M, y[7], y[11], y[60]) -1*v_871(k, M, y[7], y[5], y[3])
+CH3 8 +1*v_11(k, M, y[8], y[7], y[1], y[3]) +1*v_13(k, M, y[8], y[3], y[1], y[9]) -1*v_17(k, M, y[8], y[3], y[11], y[6]) -1*v_29(k, M, y[8], y[7], y[14], y[3]) +1*v_31(k, M, y[8], y[3], y[15]) +1*v_31(k, M, y[8], y[3], y[15]) -1*v_39(k, M, y[8], y[5], y[11], y[1]) +1*v_45(k, M, y[8], y[7], y[5]) +1*v_49(k, M, y[8], y[7], y[9]) +1*v_49(k, M, y[8], y[7], y[9]) +1*v_51(k, M, y[8], y[7], y[15], y[14]) -1*v_53(k, M, y[8], y[7], y[0], y[2]) -1*v_59(k, M, y[8], y[7], y[12], y[11]) +1*v_61(k, M, y[12], y[8], y[11], y[9]) -1*v_63(k, M, y[8], y[13], y[11], y[9]) +1*v_65(k, M, y[8], y[13], y[14], y[9]) -1*v_67(k, M, y[8], y[15], y[14], y[9]) -1*v_69(k, M, y[8], y[16], y[15], y[9]) +1*v_71(k, M, y[0], y[8], y[11], y[17]) +1*v_75(k, M, y[8], y[12], y[10], y[9]) -1*v_105(k, M, y[8], y[4], y[7], y[0]) -1*v_107(k, M, y[8], y[4], y[9], y[0]) +1*v_115(k, M, y[0], y[8], y[9], y[2]) +1*v_121(k, M, y[0], y[19], y[8], y[3]) +1*v_125(k, M, y[21], y[4], y[8], y[14]) -1*v_127(k, M, y[8], y[20], y[21], y[9]) -1*v_129(k, M, y[8], y[19], y[20], y[9]) -1*v_137(k, M, y[8], y[4], y[20], y[3]) +1*v_145(k, M, y[23], y[3], y[8], y[2]) +1*v_153(k, M, y[22], y[8], y[18], y[17]) +1*v_169(k, M, y[8], y[5], y[11], y[14]) +1*v_171(k, M, y[8], y[7], y[13], y[11]) +1*v_175(k, M, y[8], y[7], y[21], y[17]) +1*v_179(k, M, y[20], y[19], y[7], y[8]) +1*v_181(k, M, y[22], y[7], y[8], y[20]) +1*v_183(k, M, y[23], y[7], y[22], y[8]) +1*v_185(k, M, y[23], y[7], y[19], y[8]) -1*v_187(k, M, y[8], y[21], y[9], y[17]) -1*v_189(k, M, y[22], y[20], y[8], y[9]) -1*v_191(k, M, y[23], y[22], y[8], y[9]) +1*v_193(k, M, y[8], y[3], y[21], y[24]) -1*v_195(k, M, y[8], y[16], y[24], y[17]) +1*v_201(k, M, y[8], y[3], y[17], y[26]) -1*v_237(k, M, y[8], y[29], y[28], y[9]) -1*v_239(k, M, y[8], y[29], y[9], y[33]) -1*v_241(k, M, y[8], y[7], y[30], y[31]) +1*v_243(k, M, y[8], y[31], y[30], y[9]) -1*v_293(k, M, y[8], y[31], y[32], y[2]) +1*v_307(k, M, y[8], y[35], y[9], y[33]) -1*v_331(k, M, y[8], y[37], y[9], y[36]) -1*v_367(k, M, y[8], y[3], y[41], y[28]) -1*v_369(k, M, y[8], y[31], y[1], y[28]) -1*v_371(k, M, y[8], y[7], y[35], y[33]) -1*v_377(k, M, y[8], y[41], y[32], y[0]) +1*v_381(k, M, y[22], y[4], y[8], y[25]) -1*v_387(k, M, y[8], y[20], y[25], y[0]) -1*v_413(k, M, y[8], y[22], y[43], y[32]) -1*v_423(k, M, y[8], y[46], y[15], y[33]) -1*v_431(k, M, y[8], y[47], y[1], y[33]) -1*v_433(k, M, y[8], y[3], y[46], y[33]) -1*v_435(k, M, y[8], y[48], y[46], y[9]) -1*v_513(k, M, y[8], y[25], y[52], y[9]) +1*v_527(k, M, y[8], y[3], y[31], y[55]) +1*v_547(k, M, y[8], y[53], y[52], y[9]) +1*v_553(k, M, y[12], y[58], y[8], y[15]) +1*v_555(k, M, y[8], y[13], y[58]) -1*v_573(k, M, y[8], y[58], y[12], y[3]) -1*v_579(k, M, y[38], y[8], y[9], y[36]) -1*v_581(k, M, y[8], y[3], y[11], y[60]) +1*v_591(k, M, y[8], y[63], y[64], y[9]) -1*v_611(k, M, y[8], y[3], y[30], y[56]) +1*v_619(k, M, y[0], y[65], y[8], y[9]) +1*v_633(k, M, y[8], y[3], y[1], y[66]) -1*v_653(k, M, y[0], y[8], y[2], y[66]) -1*v_665(k, M, y[8], y[3], y[9]) +1*v_679(k, M, y[8], y[7], y[3]) +1*v_681(k, M, y[8], y[5], y[1]) -1*v_683(k, M, y[8], y[16]) -1*v_683(k, M, y[8], y[16]) -1*v_705(k, M, y[8], y[24], y[17]) -1*v_733(k, M, y[8], y[48], y[33]) -1*v_781(k, M, y[0], y[8], y[23]) +1*v_789(k, M, y[8], y[3], y[9]) -1*v_797(k, M, y[8], y[5], y[1]) -1*v_799(k, M, y[8], y[3], y[66]) +1*v_825(k, M, y[8], y[16]) +1*v_825(k, M, y[8], y[16]) +1*v_835(k, M, y[23], y[8], y[0]) +1*v_843(k, M, y[8], y[49], y[21])
+CH4 9 -1*v_13(k, M, y[8], y[3], y[1], y[9]) -1*v_27(k, M, y[5], y[14], y[3], y[9]) -1*v_49(k, M, y[8], y[7], y[9]) -1*v_61(k, M, y[12], y[8], y[11], y[9]) +1*v_63(k, M, y[8], y[13], y[11], y[9]) -1*v_65(k, M, y[8], y[13], y[14], y[9]) +1*v_67(k, M, y[8], y[15], y[14], y[9]) +1*v_69(k, M, y[8], y[16], y[15], y[9]) -1*v_75(k, M, y[8], y[12], y[10], y[9]) +1*v_107(k, M, y[8], y[4], y[9], y[0]) -1*v_115(k, M, y[0], y[8], y[9], y[2]) +1*v_127(k, M, y[8], y[20], y[21], y[9]) +1*v_129(k, M, y[8], y[19], y[20], y[9]) +1*v_187(k, M, y[8], y[21], y[9], y[17]) +1*v_189(k, M, y[22], y[20], y[8], y[9]) +1*v_191(k, M, y[23], y[22], y[8], y[9]) +1*v_237(k, M, y[8], y[29], y[28], y[9]) +1*v_239(k, M, y[8], y[29], y[9], y[33]) -1*v_243(k, M, y[8], y[31], y[30], y[9]) -1*v_307(k, M, y[8], y[35], y[9], y[33]) +1*v_331(k, M, y[8], y[37], y[9], y[36]) +1*v_435(k, M, y[8], y[48], y[46], y[9]) +1*v_513(k, M, y[8], y[25], y[52], y[9]) -1*v_547(k, M, y[8], y[53], y[52], y[9]) +1*v_579(k, M, y[38], y[8], y[9], y[36]) -1*v_591(k, M, y[8], y[63], y[64], y[9]) -1*v_619(k, M, y[0], y[65], y[8], y[9]) +1*v_665(k, M, y[8], y[3], y[9]) -1*v_789(k, M, y[8], y[3], y[9]) -1*v_791(k, M, y[1], y[9], y[66]) -1*v_793(k, M, y[3], y[9], y[66]) -1*v_795(k, M, y[5], y[1], y[3], y[9]) +1*v_823(k, M, y[16], y[9], y[66]) +1*v_841(k, M, y[49], y[17], y[9])
+C2 10 +1*v_15(k, M, y[5], y[10], y[3], y[6]) -1*v_41(k, M, y[4], y[10], y[17], y[6]) -1*v_73(k, M, y[12], y[3], y[10], y[1]) -1*v_75(k, M, y[8], y[12], y[10], y[9]) -1*v_225(k, M, y[10], y[30], y[28], y[6]) -1*v_245(k, M, y[34], y[10], y[30]) -1*v_539(k, M, y[57], y[31], y[10], y[45]) -1*v_541(k, M, y[57], y[54], y[10], y[11]) +1*v_739(k, M, y[10], y[6]) +1*v_767(k, M, y[12], y[3], y[10]) +1*v_869(k, M, y[10], y[11], y[45])
+C2H2 11 +1*v_17(k, M, y[8], y[3], y[11], y[6]) +1*v_19(k, M, y[12], y[3], y[11], y[1]) +1*v_21(k, M, y[5], y[7], y[11], y[3]) +1*v_23(k, M, y[3], y[1], y[13], y[11]) +1*v_39(k, M, y[8], y[5], y[11], y[1]) +1*v_43(k, M, y[7], y[11], y[3]) -1*v_57(k, M, y[4], y[7], y[11], y[17]) +1*v_59(k, M, y[8], y[7], y[12], y[11]) +1*v_61(k, M, y[12], y[8], y[11], y[9]) +1*v_63(k, M, y[8], y[13], y[11], y[9]) -1*v_71(k, M, y[0], y[8], y[11], y[17]) +1*v_77(k, M, y[12], y[7], y[5], y[11]) +1*v_79(k, M, y[12], y[16], y[11], y[15]) +1*v_83(k, M, y[12], y[4], y[11], y[0]) +1*v_85(k, M, y[12], y[0], y[11], y[2]) +1*v_87(k, M, y[13], y[11], y[14]) +1*v_91(k, M, y[13], y[16], y[15], y[11]) +1*v_117(k, M, y[0], y[13], y[11], y[2]) +1*v_157(k, M, y[12], y[11], y[21], y[17]) +1*v_159(k, M, y[12], y[19], y[11], y[20]) +1*v_161(k, M, y[22], y[20], y[12], y[11]) +1*v_163(k, M, y[23], y[19], y[12], y[11]) +1*v_165(k, M, y[23], y[22], y[12], y[11]) +1*v_167(k, M, y[0], y[4], y[13], y[11]) +1*v_169(k, M, y[8], y[5], y[11], y[14]) +1*v_171(k, M, y[8], y[7], y[13], y[11]) -1*v_205(k, M, y[4], y[11], y[3], y[27]) +1*v_247(k, M, y[12], y[29], y[11], y[33]) +1*v_249(k, M, y[13], y[35], y[11], y[33]) -1*v_417(k, M, y[12], y[3], y[11], y[45]) -1*v_523(k, M, y[54], y[11], y[30], y[3]) +1*v_541(k, M, y[57], y[54], y[10], y[11]) -1*v_565(k, M, y[7], y[1], y[11], y[59]) -1*v_567(k, M, y[7], y[11], y[3], y[58]) -1*v_571(k, M, y[5], y[11], y[3], y[59]) -1*v_581(k, M, y[8], y[3], y[11], y[60]) -1*v_587(k, M, y[62], y[3], y[11], y[63]) -1*v_593(k, M, y[11], y[59], y[6]) -1*v_641(k, M, y[58], y[11], y[3], y[66]) -1*v_667(k, M, y[13], y[3], y[11]) +1*v_685(k, M, y[12], y[3], y[11]) +1*v_687(k, M, y[1], y[11], y[14]) -1*v_703(k, M, y[0], y[11], y[24]) -1*v_757(k, M, y[7], y[11], y[60]) -1*v_763(k, M, y[61], y[11], y[64]) -1*v_765(k, M, y[62], y[13], y[11]) -1*v_805(k, M, y[12], y[3], y[11]) +1*v_811(k, M, y[1], y[11], y[14]) +1*v_813(k, M, y[3], y[11], y[14]) +1*v_821(k, M, y[1], y[16], y[11]) +1*v_869(k, M, y[10], y[11], y[45])
+C2H 12 -1*v_19(k, M, y[12], y[3], y[11], y[1]) -1*v_55(k, M, y[12], y[7], y[17], y[0]) -1*v_59(k, M, y[8], y[7], y[12], y[11]) -1*v_61(k, M, y[12], y[8], y[11], y[9]) +1*v_73(k, M, y[12], y[3], y[10], y[1]) +1*v_75(k, M, y[8], y[12], y[10], y[9]) -1*v_77(k, M, y[12], y[7], y[5], y[11]) -1*v_79(k, M, y[12], y[16], y[11], y[15]) -1*v_81(k, M, y[12], y[4], y[5], y[17]) -1*v_83(k, M, y[12], y[4], y[11], y[0]) -1*v_85(k, M, y[12], y[0], y[11], y[2]) -1*v_157(k, M, y[12], y[11], y[21], y[17]) -1*v_159(k, M, y[12], y[19], y[11], y[20]) -1*v_161(k, M, y[22], y[20], y[12], y[11]) -1*v_163(k, M, y[23], y[19], y[12], y[11]) -1*v_165(k, M, y[23], y[22], y[12], y[11]) -1*v_247(k, M, y[12], y[29], y[11], y[33]) -1*v_389(k, M, y[12], y[21], y[25], y[17]) -1*v_417(k, M, y[12], y[3], y[11], y[45]) -1*v_525(k, M, y[12], y[31], y[54], y[3]) -1*v_553(k, M, y[12], y[58], y[8], y[15]) -1*v_559(k, M, y[12], y[19], y[58], y[0]) -1*v_569(k, M, y[12], y[7], y[3], y[59]) -1*v_573(k, M, y[8], y[58], y[12], y[3]) -1*v_585(k, M, y[12], y[62], y[15], y[3]) -1*v_685(k, M, y[12], y[3], y[11]) -1*v_767(k, M, y[12], y[3], y[10]) +1*v_805(k, M, y[12], y[3], y[11])
+C2H3 13 -1*v_23(k, M, y[3], y[1], y[13], y[11]) -1*v_25(k, M, y[13], y[1], y[14], y[3]) +1*v_47(k, M, y[7], y[13], y[3]) -1*v_63(k, M, y[8], y[13], y[11], y[9]) -1*v_65(k, M, y[8], y[13], y[14], y[9]) -1*v_87(k, M, y[13], y[11], y[14]) -1*v_87(k, M, y[13], y[11], y[14]) -1*v_89(k, M, y[13], y[15], y[14]) -1*v_91(k, M, y[13], y[16], y[15], y[11]) +1*v_93(k, M, y[0], y[13], y[14], y[2]) +1*v_97(k, M, y[13], y[16], y[15], y[14]) -1*v_117(k, M, y[0], y[13], y[11], y[2]) -1*v_167(k, M, y[0], y[4], y[13], y[11]) -1*v_171(k, M, y[8], y[7], y[13], y[11]) -1*v_203(k, M, y[4], y[13], y[3], y[26]) -1*v_249(k, M, y[13], y[35], y[11], y[33]) +1*v_251(k, M, y[13], y[35], y[14], y[33]) -1*v_391(k, M, y[20], y[13], y[21], y[25]) -1*v_537(k, M, y[57], y[31], y[13], y[3]) -1*v_543(k, M, y[13], y[3], y[28], y[56]) -1*v_555(k, M, y[8], y[13], y[58]) -1*v_555(k, M, y[8], y[13], y[58]) +1*v_557(k, M, y[0], y[58], y[13], y[21]) -1*v_597(k, M, y[4], y[13], y[21], y[7]) +1*v_667(k, M, y[13], y[3], y[11]) -1*v_669(k, M, y[3], y[13], y[14]) -1*v_765(k, M, y[62], y[13], y[11]) +1*v_815(k, M, y[13], y[14], y[3])
+C2H4 14 +1*v_25(k, M, y[13], y[1], y[14], y[3]) +1*v_27(k, M, y[5], y[14], y[3], y[9]) +1*v_29(k, M, y[8], y[7], y[14], y[3]) +1*v_33(k, M, y[3], y[1], y[15], y[14]) +1*v_51(k, M, y[8], y[7], y[15], y[14]) +1*v_65(k, M, y[8], y[13], y[14], y[9]) +1*v_67(k, M, y[8], y[15], y[14], y[9]) +1*v_87(k, M, y[13], y[11], y[14]) +1*v_89(k, M, y[13], y[15], y[14]) +1*v_89(k, M, y[13], y[15], y[14]) -1*v_93(k, M, y[0], y[13], y[14], y[2]) +1*v_95(k, M, y[16], y[15], y[14]) -1*v_97(k, M, y[13], y[16], y[15], y[14]) +1*v_119(k, M, y[0], y[15], y[14], y[2]) -1*v_125(k, M, y[21], y[4], y[8], y[14]) -1*v_169(k, M, y[8], y[5], y[11], y[14]) +1*v_177(k, M, y[0], y[19], y[7], y[14]) -1*v_251(k, M, y[13], y[35], y[14], y[33]) +1*v_253(k, M, y[35], y[15], y[14], y[33]) -1*v_535(k, M, y[57], y[3], y[30], y[14]) -1*v_595(k, M, y[20], y[4], y[7], y[14]) +1*v_669(k, M, y[3], y[13], y[14]) -1*v_671(k, M, y[3], y[15], y[14]) -1*v_687(k, M, y[1], y[11], y[14]) +1*v_689(k, M, y[1], y[16], y[14]) -1*v_811(k, M, y[1], y[11], y[14]) -1*v_813(k, M, y[3], y[11], y[14]) -1*v_815(k, M, y[13], y[14], y[3]) +1*v_817(k, M, y[1], y[16], y[14]) +1*v_819(k, M, y[3], y[16], y[14])
+C2H5 15 -1*v_31(k, M, y[8], y[3], y[15]) -1*v_33(k, M, y[3], y[1], y[15], y[14]) +1*v_35(k, M, y[3], y[16], y[15], y[1]) -1*v_51(k, M, y[8], y[7], y[15], y[14]) -1*v_67(k, M, y[8], y[15], y[14], y[9]) +1*v_69(k, M, y[8], y[16], y[15], y[9]) +1*v_79(k, M, y[12], y[16], y[11], y[15]) -1*v_89(k, M, y[13], y[15], y[14]) -1*v_91(k, M, y[13], y[16], y[15], y[11]) -1*v_95(k, M, y[16], y[15], y[14]) -1*v_95(k, M, y[16], y[15], y[14]) -1*v_97(k, M, y[13], y[16], y[15], y[14]) +1*v_99(k, M, y[0], y[16], y[15], y[2]) +1*v_109(k, M, y[0], y[4], y[16], y[15]) -1*v_119(k, M, y[0], y[15], y[14], y[2]) -1*v_253(k, M, y[35], y[15], y[14], y[33]) +1*v_255(k, M, y[16], y[35], y[15], y[33]) +1*v_319(k, M, y[31], y[16], y[30], y[15]) +1*v_423(k, M, y[8], y[46], y[15], y[33]) -1*v_441(k, M, y[4], y[49], y[15], y[3]) -1*v_515(k, M, y[16], y[25], y[15], y[52]) -1*v_553(k, M, y[12], y[58], y[8], y[15]) -1*v_585(k, M, y[12], y[62], y[15], y[3]) +1*v_615(k, M, y[0], y[65], y[16], y[15]) +1*v_671(k, M, y[3], y[15], y[14]) -1*v_673(k, M, y[3], y[16], y[15])
+C2H6 16 -1*v_35(k, M, y[3], y[16], y[15], y[1]) -1*v_69(k, M, y[8], y[16], y[15], y[9]) -1*v_79(k, M, y[12], y[16], y[11], y[15]) +1*v_91(k, M, y[13], y[16], y[15], y[11]) +1*v_95(k, M, y[16], y[15], y[14]) +1*v_97(k, M, y[13], y[16], y[15], y[14]) -1*v_99(k, M, y[0], y[16], y[15], y[2]) -1*v_109(k, M, y[0], y[4], y[16], y[15]) +1*v_195(k, M, y[8], y[16], y[24], y[17]) -1*v_255(k, M, y[16], y[35], y[15], y[33]) -1*v_319(k, M, y[31], y[16], y[30], y[15]) +1*v_515(k, M, y[16], y[25], y[15], y[52]) -1*v_615(k, M, y[0], y[65], y[16], y[15]) +1*v_673(k, M, y[3], y[16], y[15]) +1*v_683(k, M, y[8], y[16]) -1*v_689(k, M, y[1], y[16], y[14]) -1*v_817(k, M, y[1], y[16], y[14]) -1*v_819(k, M, y[3], y[16], y[14]) -1*v_821(k, M, y[1], y[16], y[11]) -1*v_823(k, M, y[16], y[9], y[66]) -1*v_825(k, M, y[8], y[16])
+CO 17 -1*v_37(k, M, y[0], y[3], y[18], y[17]) +1*v_41(k, M, y[4], y[10], y[17], y[6]) +1*v_55(k, M, y[12], y[7], y[17], y[0]) +1*v_57(k, M, y[4], y[7], y[11], y[17]) +1*v_71(k, M, y[0], y[8], y[11], y[17]) +1*v_81(k, M, y[12], y[4], y[5], y[17]) +1*v_103(k, M, y[4], y[5], y[17], y[3]) +1*v_111(k, M, y[0], y[3], y[17], y[6]) +1*v_131(k, M, y[3], y[1], y[21], y[17]) +1*v_133(k, M, y[0], y[21], y[17], y[2]) +1*v_135(k, M, y[5], y[21], y[17], y[18]) +1*v_147(k, M, y[7], y[17], y[4], y[3]) +1*v_151(k, M, y[20], y[7], y[17], y[18]) -1*v_153(k, M, y[22], y[8], y[18], y[17]) +1*v_157(k, M, y[12], y[11], y[21], y[17]) +1*v_173(k, M, y[4], y[7], y[1], y[17]) +1*v_175(k, M, y[8], y[7], y[21], y[17]) +1*v_187(k, M, y[8], y[21], y[9], y[17]) +1*v_195(k, M, y[8], y[16], y[24], y[17]) +1*v_201(k, M, y[8], y[3], y[17], y[26]) +1*v_207(k, M, y[3], y[7], y[17], y[27]) +1*v_211(k, M, y[20], y[21], y[17]) +1*v_269(k, M, y[0], y[31], y[17], y[33]) +1*v_275(k, M, y[4], y[30], y[17], y[28]) +1*v_277(k, M, y[18], y[32], y[17], y[28]) +1*v_291(k, M, y[5], y[29], y[32], y[17]) +1*v_299(k, M, y[34], y[30], y[32], y[17]) +1*v_321(k, M, y[31], y[29], y[17], y[4]) +1*v_363(k, M, y[42], y[3], y[33], y[17]) +1*v_383(k, M, y[4], y[25], y[17], y[6]) +1*v_385(k, M, y[7], y[25], y[2], y[17]) +1*v_389(k, M, y[12], y[21], y[25], y[17]) +1*v_455(k, M, y[40], y[21], y[32], y[17]) +1*v_471(k, M, y[51], y[21], y[42], y[17]) +1*v_473(k, M, y[51], y[30], y[17], y[18]) -1*v_501(k, M, y[0], y[18], y[52], y[17]) +1*v_517(k, M, y[52], y[21], y[25], y[17]) -1*v_627(k, M, y[65], y[18], y[17]) -1*v_639(k, M, y[7], y[17], y[66]) +1*v_639(k, M, y[7], y[17], y[66]) -1*v_691(k, M, y[4], y[18], y[17]) -1*v_695(k, M, y[3], y[21], y[17]) -1*v_705(k, M, y[8], y[24], y[17]) -1*v_709(k, M, y[20], y[1], y[17]) +1*v_723(k, M, y[42], y[29], y[17]) +1*v_769(k, M, y[4], y[17], y[6]) -1*v_801(k, M, y[4], y[17], y[6]) +1*v_807(k, M, y[4], y[17], y[18]) +1*v_809(k, M, y[65], y[17], y[18]) +1*v_829(k, M, y[3], y[21], y[17]) +1*v_831(k, M, y[20], y[1], y[17]) +1*v_841(k, M, y[49], y[17], y[9]) +1*v_859(k, M, y[42], y[29], y[17])
+CO2 18 +1*v_37(k, M, y[0], y[3], y[18], y[17]) -1*v_135(k, M, y[5], y[21], y[17], y[18]) -1*v_151(k, M, y[20], y[7], y[17], y[18]) +1*v_153(k, M, y[22], y[8], y[18], y[17]) -1*v_277(k, M, y[18], y[32], y[17], y[28]) -1*v_473(k, M, y[51], y[30], y[17], y[18]) +1*v_501(k, M, y[0], y[18], y[52], y[17]) -1*v_623(k, M, y[65], y[4], y[18]) +1*v_623(k, M, y[65], y[4], y[18]) +1*v_627(k, M, y[65], y[18], y[17]) +1*v_691(k, M, y[4], y[18], y[17]) -1*v_807(k, M, y[4], y[17], y[18]) -1*v_809(k, M, y[65], y[17], y[18])
+CH2OH 19 -1*v_121(k, M, y[0], y[19], y[8], y[3]) -1*v_129(k, M, y[8], y[19], y[20], y[9]) +1*v_155(k, M, y[23], y[3], y[19], y[1]) -1*v_159(k, M, y[12], y[19], y[11], y[20]) +1*v_163(k, M, y[23], y[19], y[12], y[11]) -1*v_177(k, M, y[0], y[19], y[7], y[14]) -1*v_179(k, M, y[20], y[19], y[7], y[8]) +1*v_185(k, M, y[23], y[7], y[19], y[8]) -1*v_213(k, M, y[22], y[19], y[23], y[20]) +1*v_425(k, M, y[0], y[19], y[46], y[33]) -1*v_559(k, M, y[12], y[19], y[58], y[0]) +1*v_601(k, M, y[23], y[19], y[0], y[2]) -1*v_693(k, M, y[20], y[19], y[3]) +1*v_697(k, M, y[5], y[19], y[2]) -1*v_701(k, M, y[23], y[19], y[3])
+H2CO 20 -1*v_123(k, M, y[20], y[1], y[21], y[3]) -1*v_127(k, M, y[8], y[20], y[21], y[9]) +1*v_129(k, M, y[8], y[19], y[20], y[9]) +1*v_137(k, M, y[8], y[4], y[20], y[3]) +1*v_139(k, M, y[22], y[4], y[20], y[0]) +1*v_141(k, M, y[22], y[20], y[0], y[2]) +1*v_149(k, M, y[0], y[7], y[20], y[3]) +1*v_151(k, M, y[20], y[7], y[17], y[18]) +1*v_159(k, M, y[12], y[19], y[11], y[20]) +1*v_161(k, M, y[22], y[20], y[12], y[11]) +1*v_179(k, M, y[20], y[19], y[7], y[8]) +1*v_181(k, M, y[22], y[7], y[8], y[20]) +1*v_189(k, M, y[22], y[20], y[8], y[9]) +1*v_199(k, M, y[22], y[3], y[1], y[20]) -1*v_209(k, M, y[20], y[4], y[21], y[0]) +1*v_211(k, M, y[20], y[21], y[17]) +1*v_213(k, M, y[22], y[19], y[23], y[20]) +1*v_215(k, M, y[22], y[20], y[23]) +1*v_387(k, M, y[8], y[20], y[25], y[0]) +1*v_391(k, M, y[20], y[13], y[21], y[25]) +1*v_439(k, M, y[20], y[5], y[3], y[2]) +1*v_453(k, M, y[22], y[40], y[32], y[20]) +1*v_595(k, M, y[20], y[4], y[7], y[14]) -1*v_605(k, M, y[20], y[21], y[25], y[52]) +1*v_609(k, M, y[22], y[20], y[25], y[52]) +1*v_693(k, M, y[20], y[19], y[3]) +1*v_699(k, M, y[22], y[3], y[20]) +1*v_707(k, M, y[20], y[3], y[21]) +1*v_709(k, M, y[20], y[1], y[17]) -1*v_831(k, M, y[20], y[1], y[17]) -1*v_833(k, M, y[20], y[21], y[3]) +1*v_837(k, M, y[23], y[20], y[1])
+HCO 21 +1*v_123(k, M, y[20], y[1], y[21], y[3]) +1*v_125(k, M, y[21], y[4], y[8], y[14]) +1*v_127(k, M, y[8], y[20], y[21], y[9]) -1*v_131(k, M, y[3], y[1], y[21], y[17]) -1*v_133(k, M, y[0], y[21], y[17], y[2]) +1*v_135(k, M, y[5], y[21], y[17], y[18]) -1*v_157(k, M, y[12], y[11], y[21], y[17]) -1*v_175(k, M, y[8], y[7], y[21], y[17]) -1*v_187(k, M, y[8], y[21], y[9], y[17]) +1*v_193(k, M, y[8], y[3], y[21], y[24]) +1*v_209(k, M, y[20], y[4], y[21], y[0]) -1*v_211(k, M, y[20], y[21], y[17]) -1*v_211(k, M, y[20], y[21], y[17]) +1*v_389(k, M, y[12], y[21], y[25], y[17]) +1*v_391(k, M, y[20], y[13], y[21], y[25]) -1*v_455(k, M, y[40], y[21], y[32], y[17]) -1*v_471(k, M, y[51], y[21], y[42], y[17]) -1*v_517(k, M, y[52], y[21], y[25], y[17]) +1*v_545(k, M, y[21], y[4], y[31], y[56]) +1*v_557(k, M, y[0], y[58], y[13], y[21]) +1*v_597(k, M, y[4], y[13], y[21], y[7]) +1*v_605(k, M, y[20], y[21], y[25], y[52]) +1*v_695(k, M, y[3], y[21], y[17]) -1*v_707(k, M, y[20], y[3], y[21]) -1*v_829(k, M, y[3], y[21], y[17]) +1*v_833(k, M, y[20], y[21], y[3]) +1*v_843(k, M, y[8], y[49], y[21])
+CH3O 22 -1*v_139(k, M, y[22], y[4], y[20], y[0]) -1*v_141(k, M, y[22], y[20], y[0], y[2]) +1*v_143(k, M, y[23], y[3], y[22], y[1]) -1*v_153(k, M, y[22], y[8], y[18], y[17]) -1*v_161(k, M, y[22], y[20], y[12], y[11]) +1*v_165(k, M, y[23], y[22], y[12], y[11]) -1*v_181(k, M, y[22], y[7], y[8], y[20]) +1*v_183(k, M, y[23], y[7], y[22], y[8]) -1*v_189(k, M, y[22], y[20], y[8], y[9]) +1*v_191(k, M, y[23], y[22], y[8], y[9]) -1*v_199(k, M, y[22], y[3], y[1], y[20]) -1*v_213(k, M, y[22], y[19], y[23], y[20]) -1*v_215(k, M, y[22], y[20], y[23]) -1*v_215(k, M, y[22], y[20], y[23]) -1*v_381(k, M, y[22], y[4], y[8], y[25]) +1*v_413(k, M, y[8], y[22], y[43], y[32]) -1*v_453(k, M, y[22], y[40], y[32], y[20]) +1*v_599(k, M, y[23], y[22], y[0], y[2]) -1*v_609(k, M, y[22], y[20], y[25], y[52]) -1*v_699(k, M, y[22], y[3], y[20]) +1*v_839(k, M, y[23], y[22], y[3])
+CH3OH 23 -1*v_143(k, M, y[23], y[3], y[22], y[1]) -1*v_145(k, M, y[23], y[3], y[8], y[2]) -1*v_155(k, M, y[23], y[3], y[19], y[1]) -1*v_163(k, M, y[23], y[19], y[12], y[11]) -1*v_165(k, M, y[23], y[22], y[12], y[11]) -1*v_183(k, M, y[23], y[7], y[22], y[8]) -1*v_185(k, M, y[23], y[7], y[19], y[8]) -1*v_191(k, M, y[23], y[22], y[8], y[9]) +1*v_213(k, M, y[22], y[19], y[23], y[20]) +1*v_215(k, M, y[22], y[20], y[23]) -1*v_599(k, M, y[23], y[22], y[0], y[2]) -1*v_601(k, M, y[23], y[19], y[0], y[2]) +1*v_701(k, M, y[23], y[19], y[3]) +1*v_781(k, M, y[0], y[8], y[23]) -1*v_835(k, M, y[23], y[8], y[0]) -1*v_837(k, M, y[23], y[20], y[1]) -1*v_839(k, M, y[23], y[22], y[3])
+CH3CO 24 -1*v_193(k, M, y[8], y[3], y[21], y[24]) -1*v_195(k, M, y[8], y[16], y[24], y[17]) +1*v_443(k, M, y[3], y[49], y[1], y[24]) +1*v_703(k, M, y[0], y[11], y[24]) +1*v_705(k, M, y[8], y[24], y[17])
+O2 25 +1*v_197(k, M, y[0], y[4], y[25], y[3]) +1*v_381(k, M, y[22], y[4], y[8], y[25]) -1*v_383(k, M, y[4], y[25], y[17], y[6]) -1*v_385(k, M, y[7], y[25], y[2], y[17]) -1*v_387(k, M, y[8], y[20], y[25], y[0]) -1*v_389(k, M, y[12], y[21], y[25], y[17]) -1*v_391(k, M, y[20], y[13], y[21], y[25]) -1*v_393(k, M, y[4], y[32], y[25], y[28]) -1*v_395(k, M, y[0], y[29], y[32], y[25]) -1*v_397(k, M, y[40], y[29], y[25], y[4]) -1*v_399(k, M, y[0], y[40], y[25], y[33]) +1*v_401(k, M, y[4], y[43], y[25], y[32]) +1*v_403(k, M, y[4], y[25], y[34], y[44]) +1*v_499(k, M, y[3], y[1], y[25], y[52]) +1*v_511(k, M, y[0], y[4], y[25], y[52]) +1*v_513(k, M, y[8], y[25], y[52], y[9]) +1*v_515(k, M, y[16], y[25], y[15], y[52]) -1*v_517(k, M, y[52], y[21], y[25], y[17]) +1*v_519(k, M, y[0], y[25], y[52], y[2]) +1*v_549(k, M, y[35], y[25], y[52], y[33]) -1*v_605(k, M, y[20], y[21], y[25], y[52]) -1*v_609(k, M, y[22], y[20], y[25], y[52]) +1*v_613(k, M, y[25], y[52], y[53]) +1*v_629(k, M, y[65], y[43], y[32], y[25]) -1*v_649(k, M, y[67], y[4], y[32], y[25]) +1*v_741(k, M, y[25], y[52], y[53]) -1*v_745(k, M, y[3], y[25], y[52]) +1*v_775(k, M, y[4], y[25]) -1*v_865(k, M, y[4], y[25]) -1*v_867(k, M, y[65], y[4], y[25])
+H2CCO 26 -1*v_201(k, M, y[8], y[3], y[17], y[26]) +1*v_203(k, M, y[4], y[13], y[3], y[26])
+HCCO 27 +1*v_205(k, M, y[4], y[11], y[3], y[27]) -1*v_207(k, M, y[3], y[7], y[17], y[27])
+N 28 -1*v_217(k, M, y[5], y[29], y[28], y[6]) -1*v_219(k, M, y[5], y[30], y[3], y[28]) -1*v_221(k, M, y[7], y[5], y[29], y[28]) -1*v_223(k, M, y[7], y[31], y[3], y[28]) -1*v_225(k, M, y[10], y[30], y[28], y[6]) -1*v_227(k, M, y[0], y[3], y[32], y[28]) +1*v_229(k, M, y[3], y[29], y[1], y[28]) +1*v_237(k, M, y[8], y[29], y[28], y[9]) +1*v_257(k, M, y[0], y[4], y[29], y[28]) +1*v_263(k, M, y[0], y[29], y[28], y[2]) +1*v_275(k, M, y[4], y[30], y[17], y[28]) -1*v_277(k, M, y[18], y[32], y[17], y[28]) -1*v_279(k, M, y[34], y[32], y[28], y[4]) -1*v_281(k, M, y[34], y[29], y[3], y[28]) -1*v_283(k, M, y[34], y[30], y[28], y[6]) -1*v_367(k, M, y[8], y[3], y[41], y[28]) -1*v_369(k, M, y[8], y[31], y[1], y[28]) -1*v_393(k, M, y[4], y[32], y[25], y[28]) +1*v_489(k, M, y[28], y[35], y[29], y[33]) -1*v_543(k, M, y[13], y[3], y[28], y[56]) -1*v_551(k, M, y[37], y[35], y[1], y[28]) -1*v_561(k, M, y[58], y[54], y[1], y[28]) -1*v_563(k, M, y[54], y[59], y[3], y[28]) -1*v_607(k, M, y[4], y[43], y[28], y[44]) -1*v_715(k, M, y[33], y[1], y[28]) -1*v_717(k, M, y[34], y[28]) -1*v_717(k, M, y[34], y[28]) +1*v_771(k, M, y[28], y[29], y[3]) -1*v_773(k, M, y[4], y[32], y[28]) +1*v_779(k, M, y[67], y[28]) +1*v_845(k, M, y[34], y[28]) +1*v_845(k, M, y[34], y[28]) +1*v_853(k, M, y[4], y[32], y[28])
+NH 29 +1*v_217(k, M, y[5], y[29], y[28], y[6]) +1*v_221(k, M, y[7], y[5], y[29], y[28]) -1*v_229(k, M, y[3], y[29], y[1], y[28]) +1*v_231(k, M, y[3], y[29], y[1], y[33]) -1*v_237(k, M, y[8], y[29], y[28], y[9]) +1*v_239(k, M, y[8], y[29], y[9], y[33]) +1*v_247(k, M, y[12], y[29], y[11], y[33]) -1*v_257(k, M, y[0], y[4], y[29], y[28]) -1*v_259(k, M, y[4], y[29], y[32], y[3]) -1*v_263(k, M, y[0], y[29], y[28], y[2]) -1*v_271(k, M, y[0], y[4], y[29], y[33]) +1*v_273(k, M, y[0], y[29], y[33], y[2]) -1*v_281(k, M, y[34], y[29], y[3], y[28]) +1*v_285(k, M, y[29], y[34], y[7], y[31]) +1*v_291(k, M, y[5], y[29], y[32], y[17]) -1*v_295(k, M, y[0], y[34], y[29], y[32]) -1*v_301(k, M, y[3], y[29], y[30], y[6]) -1*v_303(k, M, y[34], y[29], y[1]) -1*v_303(k, M, y[34], y[29], y[1]) +1*v_313(k, M, y[29], y[35], y[33]) +1*v_321(k, M, y[31], y[29], y[17], y[4]) -1*v_323(k, M, y[3], y[29], y[33], y[36]) -1*v_357(k, M, y[37], y[29], y[33], y[36]) +1*v_373(k, M, y[37], y[4], y[29], y[32]) -1*v_395(k, M, y[0], y[29], y[32], y[25]) -1*v_397(k, M, y[40], y[29], y[25], y[4]) -1*v_407(k, M, y[3], y[29], y[32], y[44]) -1*v_445(k, M, y[0], y[40], y[29], y[3]) +1*v_469(k, M, y[51], y[29], y[42], y[33]) -1*v_485(k, M, y[38], y[29], y[33], y[36]) -1*v_489(k, M, y[28], y[35], y[29], y[33]) +1*v_493(k, M, y[40], y[29], y[1], y[2]) +1*v_643(k, M, y[67], y[3], y[29], y[1]) +1*v_645(k, M, y[67], y[29], y[0], y[2]) +1*v_647(k, M, y[67], y[33], y[29], y[35]) +1*v_723(k, M, y[42], y[29], y[17]) -1*v_771(k, M, y[28], y[29], y[3]) +1*v_849(k, M, y[3], y[29], y[35]) +1*v_859(k, M, y[42], y[29], y[17])
+CN 30 +1*v_219(k, M, y[5], y[30], y[3], y[28]) +1*v_225(k, M, y[10], y[30], y[28], y[6]) -1*v_233(k, M, y[3], y[1], y[31], y[30]) -1*v_235(k, M, y[7], y[5], y[30], y[31]) -1*v_241(k, M, y[8], y[7], y[30], y[31]) -1*v_243(k, M, y[8], y[31], y[30], y[9]) +1*v_245(k, M, y[34], y[10], y[30]) +1*v_245(k, M, y[34], y[10], y[30]) -1*v_265(k, M, y[0], y[4], y[30], y[31]) +1*v_267(k, M, y[0], y[31], y[30], y[2]) -1*v_275(k, M, y[4], y[30], y[17], y[28]) -1*v_283(k, M, y[34], y[30], y[28], y[6]) +1*v_287(k, M, y[4], y[30], y[32], y[6]) -1*v_299(k, M, y[34], y[30], y[32], y[17]) +1*v_301(k, M, y[3], y[29], y[30], y[6]) -1*v_317(k, M, y[31], y[33], y[30], y[35]) -1*v_319(k, M, y[31], y[16], y[30], y[15]) +1*v_467(k, M, y[51], y[31], y[30], y[42]) -1*v_473(k, M, y[51], y[30], y[17], y[18]) -1*v_477(k, M, y[0], y[3], y[51], y[30]) -1*v_523(k, M, y[54], y[11], y[30], y[3]) -1*v_535(k, M, y[57], y[3], y[30], y[14]) -1*v_611(k, M, y[8], y[3], y[30], y[56]) -1*v_713(k, M, y[3], y[30], y[31]) +1*v_851(k, M, y[31], y[30], y[3])
+HCN 31 +1*v_223(k, M, y[7], y[31], y[3], y[28]) +1*v_233(k, M, y[3], y[1], y[31], y[30]) +1*v_235(k, M, y[7], y[5], y[30], y[31]) +1*v_241(k, M, y[8], y[7], y[30], y[31]) +1*v_243(k, M, y[8], y[31], y[30], y[9]) +1*v_265(k, M, y[0], y[4], y[30], y[31]) -1*v_267(k, M, y[0], y[31], y[30], y[2]) -1*v_269(k, M, y[0], y[31], y[17], y[33]) +1*v_285(k, M, y[29], y[34], y[7], y[31]) +1*v_289(k, M, y[5], y[31], y[32], y[4]) +1*v_293(k, M, y[8], y[31], y[32], y[2]) +1*v_317(k, M, y[31], y[33], y[30], y[35]) +1*v_319(k, M, y[31], y[16], y[30], y[15]) -1*v_321(k, M, y[31], y[29], y[17], y[4]) +1*v_359(k, M, y[0], y[31], y[41], y[2]) -1*v_365(k, M, y[0], y[31], y[42], y[3]) +1*v_369(k, M, y[8], y[31], y[1], y[28]) -1*v_467(k, M, y[51], y[31], y[30], y[42]) -1*v_475(k, M, y[51], y[31], y[3], y[4]) +1*v_487(k, M, y[31], y[35], y[41], y[33]) +1*v_521(k, M, y[3], y[1], y[41], y[31]) -1*v_525(k, M, y[12], y[31], y[54], y[3]) +1*v_527(k, M, y[8], y[3], y[31], y[55]) -1*v_537(k, M, y[57], y[31], y[13], y[3]) +1*v_539(k, M, y[57], y[31], y[10], y[45]) +1*v_545(k, M, y[21], y[4], y[31], y[56]) +1*v_713(k, M, y[3], y[30], y[31]) -1*v_721(k, M, y[31], y[41], y[3]) -1*v_851(k, M, y[31], y[30], y[3])
+NO 32 +1*v_227(k, M, y[0], y[3], y[32], y[28]) +1*v_259(k, M, y[4], y[29], y[32], y[3]) +1*v_277(k, M, y[18], y[32], y[17], y[28]) -1*v_279(k, M, y[34], y[32], y[28], y[4]) -1*v_287(k, M, y[4], y[30], y[32], y[6]) -1*v_289(k, M, y[5], y[31], y[32], y[4]) -1*v_291(k, M, y[5], y[29], y[32], y[17]) -1*v_293(k, M, y[8], y[31], y[32], y[2]) -1*v_295(k, M, y[0], y[34], y[29], y[32]) -1*v_297(k, M, y[34], y[32], y[33], y[2]) -1*v_299(k, M, y[34], y[30], y[32], y[17]) +1*v_309(k, M, y[4], y[1], y[32], y[33]) -1*v_351(k, M, y[37], y[0], y[32], y[33]) -1*v_353(k, M, y[37], y[34], y[32], y[40]) -1*v_361(k, M, y[42], y[7], y[32], y[3]) +1*v_373(k, M, y[37], y[4], y[29], y[32]) -1*v_377(k, M, y[8], y[41], y[32], y[0]) +1*v_393(k, M, y[4], y[32], y[25], y[28]) +1*v_395(k, M, y[0], y[29], y[32], y[25]) +1*v_401(k, M, y[4], y[43], y[25], y[32]) -1*v_407(k, M, y[3], y[29], y[32], y[44]) +1*v_413(k, M, y[8], y[22], y[43], y[32]) +1*v_447(k, M, y[0], y[40], y[32], y[2]) +1*v_449(k, M, y[0], y[40], y[32], y[4]) +1*v_451(k, M, y[40], y[1], y[32], y[3]) -1*v_453(k, M, y[22], y[40], y[32], y[20]) -1*v_455(k, M, y[40], y[21], y[32], y[17]) +1*v_463(k, M, y[50], y[3], y[32], y[2]) +1*v_465(k, M, y[40], y[35], y[32], y[33]) -1*v_603(k, M, y[0], y[43], y[32], y[52]) +1*v_629(k, M, y[65], y[43], y[32], y[25]) +1*v_649(k, M, y[67], y[4], y[32], y[25]) +1*v_651(k, M, y[67], y[34], y[32], y[44]) -1*v_727(k, M, y[4], y[43], y[32]) -1*v_735(k, M, y[3], y[32], y[40]) -1*v_737(k, M, y[0], y[50], y[32]) +1*v_773(k, M, y[4], y[32], y[28]) -1*v_853(k, M, y[4], y[32], y[28]) +1*v_855(k, M, y[4], y[43], y[32]) +1*v_877(k, M, y[50], y[32], y[0])
+NH2 33 -1*v_231(k, M, y[3], y[29], y[1], y[33]) -1*v_239(k, M, y[8], y[29], y[9], y[33]) -1*v_247(k, M, y[12], y[29], y[11], y[33]) -1*v_249(k, M, y[13], y[35], y[11], y[33]) -1*v_251(k, M, y[13], y[35], y[14], y[33]) -1*v_253(k, M, y[35], y[15], y[14], y[33]) -1*v_255(k, M, y[16], y[35], y[15], y[33]) +1*v_261(k, M, y[0], y[4], y[33], y[35]) +1*v_269(k, M, y[0], y[31], y[17], y[33]) +1*v_271(k, M, y[0], y[4], y[29], y[33]) -1*v_273(k, M, y[0], y[29], y[33], y[2]) -1*v_297(k, M, y[34], y[32], y[33], y[2]) -1*v_305(k, M, y[3], y[35], y[1], y[33]) -1*v_307(k, M, y[8], y[35], y[9], y[33]) -1*v_309(k, M, y[4], y[1], y[32], y[33]) +1*v_311(k, M, y[0], y[33], y[35], y[2]) -1*v_313(k, M, y[29], y[35], y[33]) -1*v_313(k, M, y[29], y[35], y[33]) +1*v_315(k, M, y[5], y[33], y[7], y[35]) +1*v_317(k, M, y[31], y[33], y[30], y[35]) -1*v_323(k, M, y[3], y[29], y[33], y[36]) -1*v_325(k, M, y[37], y[35], y[33], y[36]) -1*v_327(k, M, y[38], y[35], y[33], y[36]) -1*v_349(k, M, y[37], y[34], y[35], y[33]) -1*v_351(k, M, y[37], y[0], y[32], y[33]) +1*v_357(k, M, y[37], y[29], y[33], y[36]) +1*v_363(k, M, y[42], y[3], y[33], y[17]) -1*v_371(k, M, y[8], y[7], y[35], y[33]) -1*v_375(k, M, y[1], y[33], y[36]) -1*v_375(k, M, y[1], y[33], y[36]) -1*v_399(k, M, y[0], y[40], y[25], y[33]) -1*v_409(k, M, y[43], y[2], y[33], y[44]) -1*v_415(k, M, y[39], y[35], y[38], y[33]) -1*v_421(k, M, y[48], y[35], y[46], y[33]) +1*v_423(k, M, y[8], y[46], y[15], y[33]) +1*v_425(k, M, y[0], y[19], y[46], y[33]) -1*v_431(k, M, y[8], y[47], y[1], y[33]) -1*v_433(k, M, y[8], y[3], y[46], y[33]) +1*v_437(k, M, y[38], y[3], y[33]) +1*v_437(k, M, y[38], y[3], y[33]) -1*v_465(k, M, y[40], y[35], y[32], y[33]) -1*v_469(k, M, y[51], y[29], y[42], y[33]) +1*v_485(k, M, y[38], y[29], y[33], y[36]) -1*v_487(k, M, y[31], y[35], y[41], y[33]) -1*v_489(k, M, y[28], y[35], y[29], y[33]) -1*v_491(k, M, y[4], y[3], y[33], y[40]) -1*v_549(k, M, y[35], y[25], y[52], y[33]) -1*v_575(k, M, y[38], y[33], y[1], y[35]) +1*v_625(k, M, y[0], y[65], y[33], y[35]) +1*v_647(k, M, y[67], y[33], y[29], y[35]) -1*v_711(k, M, y[3], y[35], y[33]) +1*v_715(k, M, y[33], y[1], y[28]) -1*v_725(k, M, y[39], y[33]) -1*v_725(k, M, y[39], y[33]) -1*v_733(k, M, y[8], y[48], y[33]) +1*v_847(k, M, y[3], y[33], y[35])
+N2 34 -1*v_245(k, M, y[34], y[10], y[30]) +1*v_279(k, M, y[34], y[32], y[28], y[4]) +1*v_281(k, M, y[34], y[29], y[3], y[28]) +1*v_283(k, M, y[34], y[30], y[28], y[6]) -1*v_285(k, M, y[29], y[34], y[7], y[31]) +1*v_295(k, M, y[0], y[34], y[29], y[32]) +1*v_297(k, M, y[34], y[32], y[33], y[2]) +1*v_299(k, M, y[34], y[30], y[32], y[17]) +1*v_303(k, M, y[34], y[29], y[1]) +1*v_343(k, M, y[37], y[3], y[1], y[34]) +1*v_345(k, M, y[37], y[34], y[0], y[2]) +1*v_347(k, M, y[37], y[4], y[34], y[0]) +1*v_349(k, M, y[37], y[34], y[35], y[33]) +1*v_353(k, M, y[37], y[34], y[32], y[40]) +1*v_403(k, M, y[4], y[25], y[34], y[44]) +1*v_405(k, M, y[0], y[3], y[34], y[44]) -1*v_631(k, M, y[65], y[34], y[4]) +1*v_631(k, M, y[65], y[34], y[4]) +1*v_651(k, M, y[67], y[34], y[32], y[44]) +1*v_717(k, M, y[34], y[28]) +1*v_729(k, M, y[34], y[4], y[44]) +1*v_731(k, M, y[37], y[34], y[3]) -1*v_845(k, M, y[34], y[28])
+NH3 35 +1*v_249(k, M, y[13], y[35], y[11], y[33]) +1*v_251(k, M, y[13], y[35], y[14], y[33]) +1*v_253(k, M, y[35], y[15], y[14], y[33]) +1*v_255(k, M, y[16], y[35], y[15], y[33]) -1*v_261(k, M, y[0], y[4], y[33], y[35]) +1*v_305(k, M, y[3], y[35], y[1], y[33]) +1*v_307(k, M, y[8], y[35], y[9], y[33]) -1*v_311(k, M, y[0], y[33], y[35], y[2]) +1*v_313(k, M, y[29], y[35], y[33]) -1*v_315(k, M, y[5], y[33], y[7], y[35]) -1*v_317(k, M, y[31], y[33], y[30], y[35]) +1*v_325(k, M, y[37], y[35], y[33], y[36]) +1*v_327(k, M, y[38], y[35], y[33], y[36]) +1*v_349(k, M, y[37], y[34], y[35], y[33]) +1*v_371(k, M, y[8], y[7], y[35], y[33]) +1*v_415(k, M, y[39], y[35], y[38], y[33]) +1*v_421(k, M, y[48], y[35], y[46], y[33]) +1*v_465(k, M, y[40], y[35], y[32], y[33]) +1*v_487(k, M, y[31], y[35], y[41], y[33]) +1*v_489(k, M, y[28], y[35], y[29], y[33]) +1*v_549(k, M, y[35], y[25], y[52], y[33]) -1*v_551(k, M, y[37], y[35], y[1], y[28]) -1*v_575(k, M, y[38], y[33], y[1], y[35]) -1*v_625(k, M, y[0], y[65], y[33], y[35]) -1*v_647(k, M, y[67], y[33], y[29], y[35]) +1*v_711(k, M, y[3], y[35], y[33]) -1*v_847(k, M, y[3], y[33], y[35]) -1*v_849(k, M, y[3], y[29], y[35])
+N2H2 36 +1*v_323(k, M, y[3], y[29], y[33], y[36]) -1*v_325(k, M, y[37], y[35], y[33], y[36]) +1*v_327(k, M, y[38], y[35], y[33], y[36]) -1*v_329(k, M, y[37], y[3], y[1], y[36]) -1*v_331(k, M, y[8], y[37], y[9], y[36]) -1*v_333(k, M, y[0], y[37], y[2], y[36]) +1*v_335(k, M, y[38], y[3], y[1], y[36]) +1*v_337(k, M, y[38], y[4], y[0], y[36]) +1*v_339(k, M, y[38], y[2], y[0], y[36]) +1*v_341(k, M, y[38], y[39], y[36]) -1*v_355(k, M, y[37], y[4], y[0], y[36]) -1*v_357(k, M, y[37], y[29], y[33], y[36]) +1*v_375(k, M, y[1], y[33], y[36]) +1*v_485(k, M, y[38], y[29], y[33], y[36]) +1*v_577(k, M, y[38], y[37], y[36]) +1*v_577(k, M, y[38], y[37], y[36]) +1*v_579(k, M, y[38], y[8], y[9], y[36]) +1*v_719(k, M, y[38], y[3], y[36]) -1*v_753(k, M, y[37], y[3], y[36])
+N2H 37 +1*v_325(k, M, y[37], y[35], y[33], y[36]) +1*v_329(k, M, y[37], y[3], y[1], y[36]) +1*v_331(k, M, y[8], y[37], y[9], y[36]) +1*v_333(k, M, y[0], y[37], y[2], y[36]) -1*v_343(k, M, y[37], y[3], y[1], y[34]) -1*v_345(k, M, y[37], y[34], y[0], y[2]) -1*v_347(k, M, y[37], y[4], y[34], y[0]) -1*v_349(k, M, y[37], y[34], y[35], y[33]) +1*v_351(k, M, y[37], y[0], y[32], y[33]) -1*v_353(k, M, y[37], y[34], y[32], y[40]) +1*v_355(k, M, y[37], y[4], y[0], y[36]) +1*v_357(k, M, y[37], y[29], y[33], y[36]) -1*v_373(k, M, y[37], y[4], y[29], y[32]) +1*v_551(k, M, y[37], y[35], y[1], y[28]) -1*v_577(k, M, y[38], y[37], y[36]) -1*v_731(k, M, y[37], y[34], y[3]) +1*v_753(k, M, y[37], y[3], y[36])
+N2H3 38 -1*v_327(k, M, y[38], y[35], y[33], y[36]) -1*v_335(k, M, y[38], y[3], y[1], y[36]) -1*v_337(k, M, y[38], y[4], y[0], y[36]) -1*v_339(k, M, y[38], y[2], y[0], y[36]) -1*v_341(k, M, y[38], y[39], y[36]) -1*v_341(k, M, y[38], y[39], y[36]) +1*v_379(k, M, y[39], y[3], y[1], y[38]) +1*v_415(k, M, y[39], y[35], y[38], y[33]) -1*v_437(k, M, y[38], y[3], y[33]) -1*v_485(k, M, y[38], y[29], y[33], y[36]) +1*v_575(k, M, y[38], y[33], y[1], y[35]) -1*v_577(k, M, y[38], y[37], y[36]) -1*v_579(k, M, y[38], y[8], y[9], y[36]) -1*v_719(k, M, y[38], y[3], y[36]) +1*v_857(k, M, y[39], y[3], y[38])
+N2H4 39 +1*v_341(k, M, y[38], y[39], y[36]) -1*v_379(k, M, y[39], y[3], y[1], y[38]) -1*v_415(k, M, y[39], y[35], y[38], y[33]) +1*v_725(k, M, y[39], y[33]) -1*v_857(k, M, y[39], y[3], y[38])
+HNO 40 +1*v_353(k, M, y[37], y[34], y[32], y[40]) +1*v_397(k, M, y[40], y[29], y[25], y[4]) +1*v_399(k, M, y[0], y[40], y[25], y[33]) -1*v_411(k, M, y[40], y[2], y[44]) -1*v_411(k, M, y[40], y[2], y[44]) +1*v_445(k, M, y[0], y[40], y[29], y[3]) -1*v_447(k, M, y[0], y[40], y[32], y[2]) -1*v_449(k, M, y[0], y[40], y[32], y[4]) -1*v_451(k, M, y[40], y[1], y[32], y[3]) +1*v_453(k, M, y[22], y[40], y[32], y[20]) +1*v_455(k, M, y[40], y[21], y[32], y[17]) +1*v_459(k, M, y[50], y[3], y[0], y[40]) -1*v_465(k, M, y[40], y[35], y[32], y[33]) +1*v_491(k, M, y[4], y[3], y[33], y[40]) -1*v_493(k, M, y[40], y[29], y[1], y[2]) +1*v_735(k, M, y[3], y[32], y[40])
+H2CN 41 -1*v_359(k, M, y[0], y[31], y[41], y[2]) +1*v_367(k, M, y[8], y[3], y[41], y[28]) +1*v_377(k, M, y[8], y[41], y[32], y[0]) +1*v_429(k, M, y[47], y[3], y[41], y[1]) -1*v_487(k, M, y[31], y[35], y[41], y[33]) -1*v_521(k, M, y[3], y[1], y[41], y[31]) +1*v_721(k, M, y[31], y[41], y[3])
+HNCO 42 +1*v_361(k, M, y[42], y[7], y[32], y[3]) -1*v_363(k, M, y[42], y[3], y[33], y[17]) +1*v_365(k, M, y[0], y[31], y[42], y[3]) +1*v_467(k, M, y[51], y[31], y[30], y[42]) +1*v_469(k, M, y[51], y[29], y[42], y[33]) +1*v_471(k, M, y[51], y[21], y[42], y[17]) -1*v_479(k, M, y[42], y[3], y[51], y[1]) -1*v_481(k, M, y[42], y[4], y[51], y[0]) -1*v_483(k, M, y[42], y[51], y[0], y[2]) -1*v_723(k, M, y[42], y[29], y[17]) -1*v_777(k, M, y[42], y[3], y[51]) -1*v_859(k, M, y[42], y[29], y[17]) -1*v_861(k, M, y[42], y[3], y[51])
+NO2 43 -1*v_401(k, M, y[4], y[43], y[25], y[32]) -1*v_409(k, M, y[43], y[2], y[33], y[44]) -1*v_413(k, M, y[8], y[22], y[43], y[32]) +1*v_457(k, M, y[50], y[43], y[0], y[2]) +1*v_461(k, M, y[50], y[3], y[43], y[1]) +1*v_603(k, M, y[0], y[43], y[32], y[52]) -1*v_607(k, M, y[4], y[43], y[28], y[44]) -1*v_629(k, M, y[65], y[43], y[32], y[25]) +1*v_727(k, M, y[4], y[43], y[32]) -1*v_855(k, M, y[4], y[43], y[32])
+N2O 44 -1*v_403(k, M, y[4], y[25], y[34], y[44]) -1*v_405(k, M, y[0], y[3], y[34], y[44]) +1*v_407(k, M, y[3], y[29], y[32], y[44]) +1*v_409(k, M, y[43], y[2], y[33], y[44]) +1*v_411(k, M, y[40], y[2], y[44]) +1*v_607(k, M, y[4], y[43], y[28], y[44]) -1*v_651(k, M, y[67], y[34], y[32], y[44]) -1*v_729(k, M, y[34], y[4], y[44])
+C4H2 45 +1*v_417(k, M, y[12], y[3], y[11], y[45]) +1*v_539(k, M, y[57], y[31], y[10], y[45]) -1*v_761(k, M, y[3], y[61], y[45]) -1*v_869(k, M, y[10], y[11], y[45])
+CH2NH2 46 -1*v_419(k, M, y[47], y[3], y[46], y[1]) +1*v_421(k, M, y[48], y[35], y[46], y[33]) -1*v_423(k, M, y[8], y[46], y[15], y[33]) -1*v_425(k, M, y[0], y[19], y[46], y[33]) +1*v_427(k, M, y[48], y[46], y[1], y[3]) +1*v_433(k, M, y[8], y[3], y[46], y[33]) +1*v_435(k, M, y[8], y[48], y[46], y[9])
+CH2NH 47 +1*v_419(k, M, y[47], y[3], y[46], y[1]) -1*v_429(k, M, y[47], y[3], y[41], y[1]) +1*v_431(k, M, y[8], y[47], y[1], y[33])
+CH3NH2 48 -1*v_421(k, M, y[48], y[35], y[46], y[33]) -1*v_427(k, M, y[48], y[46], y[1], y[3]) -1*v_435(k, M, y[8], y[48], y[46], y[9]) +1*v_733(k, M, y[8], y[48], y[33])
+CH3CHO 49 +1*v_441(k, M, y[4], y[49], y[15], y[3]) -1*v_443(k, M, y[3], y[49], y[1], y[24]) -1*v_841(k, M, y[49], y[17], y[9]) -1*v_843(k, M, y[8], y[49], y[21])
+HNO2 50 -1*v_457(k, M, y[50], y[43], y[0], y[2]) -1*v_459(k, M, y[50], y[3], y[0], y[40]) -1*v_461(k, M, y[50], y[3], y[43], y[1]) -1*v_463(k, M, y[50], y[3], y[32], y[2]) +1*v_737(k, M, y[0], y[50], y[32]) -1*v_877(k, M, y[50], y[32], y[0])
+NCO 51 -1*v_467(k, M, y[51], y[31], y[30], y[42]) -1*v_469(k, M, y[51], y[29], y[42], y[33]) -1*v_471(k, M, y[51], y[21], y[42], y[17]) +1*v_473(k, M, y[51], y[30], y[17], y[18]) +1*v_475(k, M, y[51], y[31], y[3], y[4]) +1*v_477(k, M, y[0], y[3], y[51], y[30]) +1*v_479(k, M, y[42], y[3], y[51], y[1]) +1*v_481(k, M, y[42], y[4], y[51], y[0]) +1*v_483(k, M, y[42], y[51], y[0], y[2]) +1*v_777(k, M, y[42], y[3], y[51]) +1*v_861(k, M, y[42], y[3], y[51])
+HO2 52 -1*v_495(k, M, y[0], y[3], y[52]) -1*v_497(k, M, y[3], y[52], y[4], y[2]) -1*v_499(k, M, y[3], y[1], y[25], y[52]) -1*v_501(k, M, y[0], y[18], y[52], y[17]) +1*v_503(k, M, y[0], y[4], y[52], y[53]) +1*v_505(k, M, y[0], y[52], y[53], y[2]) +1*v_507(k, M, y[3], y[1], y[52], y[53]) -1*v_511(k, M, y[0], y[4], y[25], y[52]) -1*v_513(k, M, y[8], y[25], y[52], y[9]) -1*v_515(k, M, y[16], y[25], y[15], y[52]) +1*v_517(k, M, y[52], y[21], y[25], y[17]) -1*v_519(k, M, y[0], y[25], y[52], y[2]) -1*v_547(k, M, y[8], y[53], y[52], y[9]) -1*v_549(k, M, y[35], y[25], y[52], y[33]) -1*v_603(k, M, y[0], y[43], y[32], y[52]) +1*v_605(k, M, y[20], y[21], y[25], y[52]) +1*v_609(k, M, y[22], y[20], y[25], y[52]) -1*v_613(k, M, y[25], y[52], y[53]) -1*v_613(k, M, y[25], y[52], y[53]) -1*v_741(k, M, y[25], y[52], y[53]) -1*v_741(k, M, y[25], y[52], y[53]) +1*v_745(k, M, y[3], y[25], y[52]) -1*v_863(k, M, y[0], y[4], y[52])
+H2O2 53 -1*v_503(k, M, y[0], y[4], y[52], y[53]) -1*v_505(k, M, y[0], y[52], y[53], y[2]) -1*v_507(k, M, y[3], y[1], y[52], y[53]) -1*v_509(k, M, y[0], y[3], y[53], y[2]) +1*v_547(k, M, y[8], y[53], y[52], y[9]) +1*v_613(k, M, y[25], y[52], y[53]) +1*v_741(k, M, y[25], y[52], y[53]) +1*v_743(k, M, y[0], y[53])
+HC3N 54 +1*v_523(k, M, y[54], y[11], y[30], y[3]) +1*v_525(k, M, y[12], y[31], y[54], y[3]) +1*v_541(k, M, y[57], y[54], y[10], y[11]) +1*v_561(k, M, y[58], y[54], y[1], y[28]) +1*v_563(k, M, y[54], y[59], y[3], y[28])
+CH3CN 55 -1*v_527(k, M, y[8], y[3], y[31], y[55]) -1*v_529(k, M, y[3], y[1], y[55], y[56]) -1*v_531(k, M, y[0], y[55], y[2], y[56]) -1*v_533(k, M, y[0], y[55], y[4], y[56]) +1*v_747(k, M, y[3], y[55], y[56])
+CH2CN 56 +1*v_529(k, M, y[3], y[1], y[55], y[56]) +1*v_531(k, M, y[0], y[55], y[2], y[56]) +1*v_533(k, M, y[0], y[55], y[4], y[56]) +1*v_543(k, M, y[13], y[3], y[28], y[56]) -1*v_545(k, M, y[21], y[4], y[31], y[56]) +1*v_611(k, M, y[8], y[3], y[30], y[56]) -1*v_747(k, M, y[3], y[55], y[56])
+C2H3CN 57 +1*v_535(k, M, y[57], y[3], y[30], y[14]) +1*v_537(k, M, y[57], y[31], y[13], y[3]) -1*v_539(k, M, y[57], y[31], y[10], y[45]) -1*v_541(k, M, y[57], y[54], y[10], y[11])
+C3H3 58 +1*v_553(k, M, y[12], y[58], y[8], y[15]) +1*v_555(k, M, y[8], y[13], y[58]) -1*v_557(k, M, y[0], y[58], y[13], y[21]) +1*v_559(k, M, y[12], y[19], y[58], y[0]) -1*v_561(k, M, y[58], y[54], y[1], y[28]) +1*v_567(k, M, y[7], y[11], y[3], y[58]) +1*v_573(k, M, y[8], y[58], y[12], y[3]) -1*v_583(k, M, y[5], y[61], y[58], y[3]) +1*v_641(k, M, y[58], y[11], y[3], y[66]) +1*v_749(k, M, y[3], y[58], y[59]) -1*v_751(k, M, y[58], y[63]) -1*v_751(k, M, y[58], y[63]) -1*v_755(k, M, y[58], y[60], y[3]) +1*v_875(k, M, y[58], y[63]) +1*v_875(k, M, y[58], y[63])
+C3H2 59 -1*v_563(k, M, y[54], y[59], y[3], y[28]) +1*v_565(k, M, y[7], y[1], y[11], y[59]) +1*v_569(k, M, y[12], y[7], y[3], y[59]) +1*v_571(k, M, y[5], y[11], y[3], y[59]) +1*v_593(k, M, y[11], y[59], y[6]) -1*v_749(k, M, y[3], y[58], y[59])
+C3H4 60 +1*v_581(k, M, y[8], y[3], y[11], y[60]) +1*v_755(k, M, y[58], y[60], y[3]) +1*v_757(k, M, y[7], y[11], y[60])
+C4H3 61 +1*v_583(k, M, y[5], y[61], y[58], y[3]) +1*v_761(k, M, y[3], y[61], y[45]) -1*v_763(k, M, y[61], y[11], y[64])
+C4H5 62 +1*v_585(k, M, y[12], y[62], y[15], y[3]) -1*v_587(k, M, y[62], y[3], y[11], y[63]) +1*v_765(k, M, y[62], y[13], y[11])
+C6H6 63 +1*v_587(k, M, y[62], y[3], y[11], y[63]) +1*v_589(k, M, y[63], y[1], y[64], y[3]) +1*v_591(k, M, y[8], y[63], y[64], y[9]) +1*v_751(k, M, y[58], y[63]) +1*v_759(k, M, y[3], y[63], y[64]) -1*v_873(k, M, y[64], y[63], y[3]) -1*v_875(k, M, y[58], y[63])
+C6H5 64 -1*v_589(k, M, y[63], y[1], y[64], y[3]) -1*v_591(k, M, y[8], y[63], y[64], y[9]) -1*v_759(k, M, y[3], y[63], y[64]) +1*v_763(k, M, y[61], y[11], y[64]) +1*v_873(k, M, y[64], y[63], y[3])
+O_1 65 -1*v_615(k, M, y[0], y[65], y[16], y[15]) -1*v_617(k, M, y[0], y[65], y[1], y[3]) -1*v_619(k, M, y[0], y[65], y[8], y[9]) -1*v_621(k, M, y[0], y[65], y[2]) -1*v_623(k, M, y[65], y[4], y[18]) -1*v_625(k, M, y[0], y[65], y[33], y[35]) -1*v_627(k, M, y[65], y[18], y[17]) -1*v_629(k, M, y[65], y[43], y[32], y[25]) -1*v_631(k, M, y[65], y[34], y[4]) +1*v_785(k, M, y[65], y[1], y[2]) +1*v_809(k, M, y[65], y[17], y[18]) +1*v_867(k, M, y[65], y[4], y[25])
+CH2_1 66 -1*v_633(k, M, y[8], y[3], y[1], y[66]) -1*v_635(k, M, y[7], y[1], y[66]) -1*v_637(k, M, y[7], y[2], y[66]) -1*v_639(k, M, y[7], y[17], y[66]) -1*v_641(k, M, y[58], y[11], y[3], y[66]) +1*v_653(k, M, y[0], y[8], y[2], y[66]) +1*v_791(k, M, y[1], y[9], y[66]) +1*v_793(k, M, y[3], y[9], y[66]) +1*v_799(k, M, y[8], y[3], y[66]) +1*v_823(k, M, y[16], y[9], y[66])
+N_2D 67 -1*v_643(k, M, y[67], y[3], y[29], y[1]) -1*v_645(k, M, y[67], y[29], y[0], y[2]) -1*v_647(k, M, y[67], y[33], y[29], y[35]) -1*v_649(k, M, y[67], y[4], y[32], y[25]) -1*v_651(k, M, y[67], y[34], y[32], y[44]) -1*v_779(k, M, y[67], y[28])
+He 68 -1*v_655(k, M, y[68]) +1*v_655(k, M, y[68])
'''
#species list
-spec_list = ['H', 'H2O', 'OH', 'H2', 'O', 'CH', 'C', 'CH2', 'CH3', 'CH4', 'C2', 'C2H2', 'C2H', 'C2H3', 'C2H4', 'C2H5', 'C2H6', 'CO', 'CO2', 'CH2OH', 'H2CO', 'HCO', 'CH3O', 'CH3OH', 'CH3CO', 'O2', 'H2CCO', 'HCCO', 'N', 'NH', 'CN', 'HCN', 'NO', 'NH2', 'N2', 'NH3', 'H2CN', 'N2H2', 'N2H', 'N2H3', 'N2H4', 'HNO', 'HNCO', 'NO2', 'N2O', 'C4H2', 'CH2NH2', 'CH2NH', 'CH3NH2', 'CH3CHO', 'HNO2', 'NCO', 'HO2', 'H2O2', 'HC3N', 'CH3CN', 'CH2CN', 'C2H3CN', 'C3H3', 'C3H2', 'O_1', 'CH2_1', 'N_2D', 'He', 'C6H6']
+spec_list = ['OH', 'H2', 'H2O', 'H', 'O', 'CH', 'C', 'CH2', 'CH3', 'CH4', 'C2', 'C2H2', 'C2H', 'C2H3', 'C2H4', 'C2H5', 'C2H6', 'CO', 'CO2', 'CH2OH', 'H2CO', 'HCO', 'CH3O', 'CH3OH', 'CH3CO', 'O2', 'H2CCO', 'HCCO', 'N', 'NH', 'CN', 'HCN', 'NO', 'NH2', 'N2', 'NH3', 'N2H2', 'N2H', 'N2H3', 'N2H4', 'HNO', 'H2CN', 'HNCO', 'NO2', 'N2O', 'C4H2', 'CH2NH2', 'CH2NH', 'CH3NH2', 'CH3CHO', 'HNO2', 'NCO', 'HO2', 'H2O2', 'HC3N', 'CH3CN', 'CH2CN', 'C2H3CN', 'C3H3', 'C3H2', 'C3H4', 'C4H3', 'C4H5', 'C6H6', 'C6H5', 'O_1', 'CH2_1', 'N_2D', 'He']
# the total number of species
-ni = 65
+ni = 69
# the total number of reactions (forward and reverse)
-nr = 814
+nr = 878
# store the products and the reactants in the 1st and the 2nd element for reaction j (without M)
-re_dict = {1:[['H', 'H2O'], ['OH', 'H2']], 2:[['OH', 'H2'], ['H', 'H2O']], 3:[['O', 'H2'], ['OH', 'H']], 4:[['OH', 'H'], ['O', 'H2']], 5:[['O', 'H2O'], ['OH', 'OH']], 6:[['OH', 'OH'], ['O', 'H2O']], 7:[['H', 'CH'], ['H2', 'C']], 8:[['H2', 'C'], ['H', 'CH']], 9:[['H', 'CH2'], ['CH', 'H2']], 10:[['CH', 'H2'], ['H', 'CH2']], 11:[['CH2', 'H2'], ['H', 'CH3']], 12:[['H', 'CH3'], ['CH2', 'H2']], 13:[['H', 'CH4'], ['CH3', 'H2']], 14:[['CH3', 'H2'], ['H', 'CH4']], 15:[['C', 'CH'], ['C2', 'H']], 16:[['C2', 'H'], ['C', 'CH']], 17:[['CH3', 'C'], ['H', 'C2H2']], 18:[['H', 'C2H2'], ['CH3', 'C']], 19:[['H2', 'C2H'], ['H', 'C2H2']], 20:[['H', 'C2H2'], ['H2', 'C2H']], 21:[['CH', 'CH2'], ['H', 'C2H2']], 22:[['H', 'C2H2'], ['CH', 'CH2']], 23:[['H', 'C2H3'], ['C2H2', 'H2']], 24:[['C2H2', 'H2'], ['H', 'C2H3']], 25:[['H2', 'C2H3'], ['H', 'C2H4']], 26:[['H', 'C2H4'], ['H2', 'C2H3']], 27:[['CH', 'CH4'], ['H', 'C2H4']], 28:[['H', 'C2H4'], ['CH', 'CH4']], 29:[['CH2', 'CH3'], ['H', 'C2H4']], 30:[['H', 'C2H4'], ['CH2', 'CH3']], 31:[['H', 'C2H5'], ['CH3', 'CH3']], 32:[['CH3', 'CH3'], ['H', 'C2H5']], 33:[['H', 'C2H5'], ['C2H4', 'H2']], 34:[['C2H4', 'H2'], ['H', 'C2H5']], 35:[['H', 'C2H6'], ['C2H5', 'H2']], 36:[['C2H5', 'H2'], ['H', 'C2H6']], 37:[['OH', 'CO'], ['H', 'CO2']], 38:[['H', 'CO2'], ['OH', 'CO']], 39:[['CH', 'CH3'], ['H2', 'C2H2']], 40:[['H2', 'C2H2'], ['CH', 'CH3']], 41:[['C2', 'O'], ['C', 'CO']], 42:[['C', 'CO'], ['C2', 'O']], 43:[['CH2', 'CH2'], ['C2H2', 'H', 'H']], 44:[['C2H2', 'H', 'H'], ['CH2', 'CH2']], 45:[['CH2', 'CH2'], ['CH', 'CH3']], 46:[['CH', 'CH3'], ['CH2', 'CH2']], 47:[['CH2', 'CH2'], ['H', 'C2H3']], 48:[['H', 'C2H3'], ['CH2', 'CH2']], 49:[['CH2', 'CH4'], ['CH3', 'CH3']], 50:[['CH3', 'CH3'], ['CH2', 'CH4']],
+re_dict = {1:[['OH', 'H2'], ['H2O', 'H']], 2:[['H2O', 'H'], ['OH', 'H2']], 3:[['O', 'H2'], ['OH', 'H']], 4:[['OH', 'H'], ['O', 'H2']], 5:[['O', 'H2O'], ['OH', 'OH']], 6:[['OH', 'OH'], ['O', 'H2O']], 7:[['H', 'CH'], ['H2', 'C']], 8:[['H2', 'C'], ['H', 'CH']], 9:[['H', 'CH2'], ['CH', 'H2']], 10:[['CH', 'H2'], ['H', 'CH2']], 11:[['CH2', 'H2'], ['H', 'CH3']], 12:[['H', 'CH3'], ['CH2', 'H2']], 13:[['H', 'CH4'], ['CH3', 'H2']], 14:[['CH3', 'H2'], ['H', 'CH4']], 15:[['C', 'CH'], ['C2', 'H']], 16:[['C2', 'H'], ['C', 'CH']], 17:[['CH3', 'C'], ['H', 'C2H2']], 18:[['H', 'C2H2'], ['CH3', 'C']], 19:[['H2', 'C2H'], ['H', 'C2H2']], 20:[['H', 'C2H2'], ['H2', 'C2H']], 21:[['CH', 'CH2'], ['H', 'C2H2']], 22:[['H', 'C2H2'], ['CH', 'CH2']], 23:[['H', 'C2H3'], ['C2H2', 'H2']], 24:[['C2H2', 'H2'], ['H', 'C2H3']], 25:[['H2', 'C2H3'], ['H', 'C2H4']], 26:[['H', 'C2H4'], ['H2', 'C2H3']], 27:[['CH', 'CH4'], ['H', 'C2H4']], 28:[['H', 'C2H4'], ['CH', 'CH4']], 29:[['CH2', 'CH3'], ['H', 'C2H4']], 30:[['H', 'C2H4'], ['CH2', 'CH3']], 31:[['H', 'C2H5'], ['CH3', 'CH3']], 32:[['CH3', 'CH3'], ['H', 'C2H5']], 33:[['H', 'C2H5'], ['C2H4', 'H2']], 34:[['C2H4', 'H2'], ['H', 'C2H5']], 35:[['H', 'C2H6'], ['C2H5', 'H2']], 36:[['C2H5', 'H2'], ['H', 'C2H6']], 37:[['OH', 'CO'], ['H', 'CO2']], 38:[['H', 'CO2'], ['OH', 'CO']], 39:[['CH', 'CH3'], ['H2', 'C2H2']], 40:[['H2', 'C2H2'], ['CH', 'CH3']], 41:[['C2', 'O'], ['C', 'CO']], 42:[['C', 'CO'], ['C2', 'O']], 43:[['CH2', 'CH2'], ['C2H2', 'H', 'H']], 44:[['C2H2', 'H', 'H'], ['CH2', 'CH2']], 45:[['CH2', 'CH2'], ['CH', 'CH3']], 46:[['CH', 'CH3'], ['CH2', 'CH2']], 47:[['CH2', 'CH2'], ['H', 'C2H3']], 48:[['H', 'C2H3'], ['CH2', 'CH2']], 49:[['CH2', 'CH4'], ['CH3', 'CH3']], 50:[['CH3', 'CH3'], ['CH2', 'CH4']],
51:[['CH2', 'C2H5'], ['CH3', 'C2H4']], 52:[['CH3', 'C2H4'], ['CH2', 'C2H5']], 53:[['CH3', 'OH'], ['CH2', 'H2O']], 54:[['CH2', 'H2O'], ['CH3', 'OH']], 55:[['C2H', 'OH'], ['CH2', 'CO']], 56:[['CH2', 'CO'], ['C2H', 'OH']], 57:[['C2H2', 'O'], ['CH2', 'CO']], 58:[['CH2', 'CO'], ['C2H2', 'O']], 59:[['CH3', 'C2H'], ['C2H2', 'CH2']], 60:[['C2H2', 'CH2'], ['CH3', 'C2H']], 61:[['CH4', 'C2H'], ['CH3', 'C2H2']], 62:[['CH3', 'C2H2'], ['CH4', 'C2H']], 63:[['CH3', 'C2H3'], ['CH4', 'C2H2']], 64:[['CH4', 'C2H2'], ['CH3', 'C2H3']], 65:[['CH4', 'C2H3'], ['CH3', 'C2H4']], 66:[['CH3', 'C2H4'], ['CH4', 'C2H3']], 67:[['CH3', 'C2H5'], ['CH4', 'C2H4']], 68:[['CH4', 'C2H4'], ['CH3', 'C2H5']], 69:[['CH3', 'C2H6'], ['CH4', 'C2H5']], 70:[['CH4', 'C2H5'], ['CH3', 'C2H6']], 71:[['C2H2', 'OH'], ['CH3', 'CO']], 72:[['CH3', 'CO'], ['C2H2', 'OH']], 73:[['C2', 'H2'], ['H', 'C2H']], 74:[['H', 'C2H'], ['C2', 'H2']], 75:[['C2', 'CH4'], ['CH3', 'C2H']], 76:[['CH3', 'C2H'], ['C2', 'CH4']], 77:[['C2H', 'CH2'], ['CH', 'C2H2']], 78:[['CH', 'C2H2'], ['C2H', 'CH2']], 79:[['C2H', 'C2H6'], ['C2H2', 'C2H5']], 80:[['C2H2', 'C2H5'], ['C2H', 'C2H6']], 81:[['C2H', 'O'], ['CH', 'CO']], 82:[['CH', 'CO'], ['C2H', 'O']], 83:[['C2H', 'OH'], ['C2H2', 'O']], 84:[['C2H2', 'O'], ['C2H', 'OH']], 85:[['C2H', 'H2O'], ['C2H2', 'OH']], 86:[['C2H2', 'OH'], ['C2H', 'H2O']], 87:[['C2H3', 'C2H3'], ['C2H4', 'C2H2']], 88:[['C2H4', 'C2H2'], ['C2H3', 'C2H3']], 89:[['C2H3', 'C2H5'], ['C2H4', 'C2H4']], 90:[['C2H4', 'C2H4'], ['C2H3', 'C2H5']], 91:[['C2H3', 'C2H5'], ['C2H6', 'C2H2']], 92:[['C2H6', 'C2H2'], ['C2H3', 'C2H5']], 93:[['C2H4', 'OH'], ['C2H3', 'H2O']], 94:[['C2H3', 'H2O'], ['C2H4', 'OH']], 95:[['C2H5', 'C2H5'], ['C2H4', 'C2H6']], 96:[['C2H4', 'C2H6'], ['C2H5', 'C2H5']], 97:[['C2H5', 'C2H4'], ['C2H3', 'C2H6']], 98:[['C2H3', 'C2H6'], ['C2H5', 'C2H4']], 99:[['C2H6', 'OH'], ['C2H5', 'H2O']], 100:[['C2H5', 'H2O'], ['C2H6', 'OH']], 101:[['CH', 'O'], ['OH', 'C']], 102:[['OH', 'C'], ['CH', 'O']], 103:[['O', 'CH'], ['H', 'CO']], 104:[['H', 'CO'], ['O', 'CH']], 105:[['O', 'CH3'], ['CH2', 'OH']], 106:[['CH2', 'OH'], ['O', 'CH3']], 107:[['CH3', 'OH'], ['O', 'CH4']], 108:[['O', 'CH4'], ['CH3', 'OH']], 109:[['O', 'C2H6'], ['OH', 'C2H5']], 110:[['OH', 'C2H5'], ['O', 'C2H6']], 111:[['OH', 'C'], ['CO', 'H']], 112:[['CO', 'H'], ['OH', 'C']], 113:[['OH', 'CH2'], ['H2O', 'CH']], 114:[['H2O', 'CH'], ['OH', 'CH2']], 115:[['OH', 'CH4'], ['H2O', 'CH3']], 116:[['H2O', 'CH3'], ['OH', 'CH4']], 117:[['OH', 'C2H3'], ['H2O', 'C2H2']], 118:[['H2O', 'C2H2'], ['OH', 'C2H3']], 119:[['OH', 'C2H5'], ['H2O', 'C2H4']], 120:[['H2O', 'C2H4'], ['OH', 'C2H5']], 121:[['CH2OH', 'H'], ['OH', 'CH3']], 122:[['OH', 'CH3'], ['CH2OH', 'H']], 123:[['H2CO', 'H'], ['HCO', 'H2']], 124:[['HCO', 'H2'], ['H2CO', 'H']], 125:[['O', 'C2H4'], ['HCO', 'CH3']], 126:[['HCO', 'CH3'], ['O', 'C2H4']], 127:[['H2CO', 'CH3'], ['CH4', 'HCO']], 128:[['CH4', 'HCO'], ['H2CO', 'CH3']], 129:[['CH3', 'CH2OH'], ['H2CO', 'CH4']], 130:[['H2CO', 'CH4'], ['CH3', 'CH2OH']], 131:[['HCO', 'H'], ['CO', 'H2']], 132:[['CO', 'H2'], ['HCO', 'H']], 133:[['HCO', 'OH'], ['CO', 'H2O']], 134:[['CO', 'H2O'], ['HCO', 'OH']], 135:[['CO2', 'CH'], ['HCO', 'CO']], 136:[['HCO', 'CO'], ['CO2', 'CH']], 137:[['CH3', 'O'], ['H2CO', 'H']], 138:[['H2CO', 'H'], ['CH3', 'O']], 139:[['CH3O', 'O'], ['H2CO', 'OH']], 140:[['H2CO', 'OH'], ['CH3O', 'O']], 141:[['CH3O', 'OH'], ['H2CO', 'H2O']], 142:[['H2CO', 'H2O'], ['CH3O', 'OH']], 143:[['CH3OH', 'H'], ['CH3O', 'H2']], 144:[['CH3O', 'H2'], ['CH3OH', 'H']], 145:[['CH3OH', 'H'], ['CH3', 'H2O']], 146:[['CH3', 'H2O'], ['CH3OH', 'H']], 147:[['CH2', 'O'], ['CO', 'H', 'H']], 148:[['CO', 'H', 'H'], ['CH2', 'O']], 149:[['CH2', 'OH'], ['H2CO', 'H']], 150:[['H2CO', 'H'], ['CH2', 'OH']], 151:[['CO2', 'CH2'], ['H2CO', 'CO']], 152:[['H2CO', 'CO'], ['CO2', 'CH2']],
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+561:[['N', 'C3H3'], ['HC3N', 'H2']], 562:[['HC3N', 'H2'], ['N', 'C3H3']], 563:[['N', 'C3H2'], ['HC3N', 'H']], 564:[['HC3N', 'H'], ['N', 'C3H2']], 565:[['CH2', 'C2H2'], ['C3H2', 'H2']], 566:[['C3H2', 'H2'], ['CH2', 'C2H2']], 567:[['CH2', 'C2H2'], ['C3H3', 'H']], 568:[['C3H3', 'H'], ['CH2', 'C2H2']], 569:[['CH2', 'C2H'], ['C3H2', 'H']], 570:[['C3H2', 'H'], ['CH2', 'C2H']], 571:[['CH', 'C2H2'], ['C3H2', 'H']], 572:[['C3H2', 'H'], ['CH', 'C2H2']], 573:[['CH3', 'C2H'], ['C3H3', 'H']], 574:[['C3H3', 'H'], ['CH3', 'C2H']], 575:[['NH3', 'NH2'], ['N2H3', 'H2']], 576:[['N2H3', 'H2'], ['NH3', 'NH2']], 577:[['N2H3', 'N2H'], ['N2H2', 'N2H2']], 578:[['N2H2', 'N2H2'], ['N2H3', 'N2H']], 579:[['N2H3', 'CH3'], ['N2H2', 'CH4']], 580:[['N2H2', 'CH4'], ['N2H3', 'CH3']], 581:[['CH3', 'C2H2'], ['C3H4', 'H']], 582:[['C3H4', 'H'], ['CH3', 'C2H2']], 583:[['CH', 'C3H3'], ['C4H3', 'H']], 584:[['C4H3', 'H'], ['CH', 'C3H3']], 585:[['C2H', 'C2H5'], ['C4H5', 'H']], 586:[['C4H5', 'H'], ['C2H', 'C2H5']], 587:[['C2H2', 'C4H5'], ['C6H6', 'H']], 588:[['C6H6', 'H'], ['C2H2', 'C4H5']], 589:[['C6H5', 'H2'], ['C6H6', 'H']], 590:[['C6H6', 'H'], ['C6H5', 'H2']], 591:[['C6H5', 'CH4'], ['C6H6', 'CH3']], 592:[['C6H6', 'CH3'], ['C6H5', 'CH4']], 593:[['C', 'C2H2'], ['C3H2']], 594:[['C3H2'], ['C', 'C2H2']], 595:[['O', 'C2H4'], ['H2CO', 'CH2']], 596:[['H2CO', 'CH2'], ['O', 'C2H4']], 597:[['O', 'C2H3'], ['HCO', 'CH2']], 598:[['HCO', 'CH2'], ['O', 'C2H3']], 599:[['CH3OH', 'OH'], ['CH3O', 'H2O']], 600:[['CH3O', 'H2O'], ['CH3OH', 'OH']], 601:[['CH3OH', 'OH'], ['CH2OH', 'H2O']], 602:[['CH2OH', 'H2O'], ['CH3OH', 'OH']], 603:[['HO2', 'NO'], ['OH', 'NO2']], 604:[['OH', 'NO2'], ['HO2', 'NO']], 605:[['O2', 'H2CO'], ['HO2', 'HCO']], 606:[['HO2', 'HCO'], ['O2', 'H2CO']], 607:[['N', 'NO2'], ['N2O', 'O']], 608:[['N2O', 'O'], ['N', 'NO2']], 609:[['CH3O', 'O2'], ['H2CO', 'HO2']], 610:[['H2CO', 'HO2'], ['CH3O', 'O2']], 611:[['CH3', 'CN'], ['CH2CN', 'H']], 612:[['CH2CN', 'H'], ['CH3', 'CN']], 613:[['HO2', 'HO2'], ['H2O2', 'O2']], 614:[['H2O2', 'O2'], ['HO2', 'HO2']], 615:[['O_1', 'C2H6'], ['C2H5', 'OH']], 616:[['C2H5', 'OH'], ['O_1', 'C2H6']], 617:[['O_1', 'H2'], ['OH', 'H']], 618:[['OH', 'H'], ['O_1', 'H2']], 619:[['O_1', 'CH4'], ['OH', 'CH3']], 620:[['OH', 'CH3'], ['O_1', 'CH4']], 621:[['O_1', 'H2O'], ['OH', 'OH']], 622:[['OH', 'OH'], ['O_1', 'H2O']], 623:[['O_1', 'CO2'], ['O', 'CO2']], 624:[['O', 'CO2'], ['O_1', 'CO2']], 625:[['O_1', 'NH3'], ['OH', 'NH2']], 626:[['OH', 'NH2'], ['O_1', 'NH3']], 627:[['O_1', 'CO'], ['CO2']], 628:[['CO2'], ['O_1', 'CO']], 629:[['O_1', 'NO2'], ['O2', 'NO']], 630:[['O2', 'NO'], ['O_1', 'NO2']], 631:[['O_1', 'N2'], ['O', 'N2']], 632:[['O', 'N2'], ['O_1', 'N2']], 633:[['CH2_1', 'H2'], ['CH3', 'H']], 634:[['CH3', 'H'], ['CH2_1', 'H2']], 635:[['CH2_1', 'H2'], ['CH2', 'H2']], 636:[['CH2', 'H2'], ['CH2_1', 'H2']], 637:[['CH2_1', 'H2O'], ['CH2', 'H2O']], 638:[['CH2', 'H2O'], ['CH2_1', 'H2O']], 639:[['CH2_1', 'CO'], ['CH2', 'CO']], 640:[['CH2', 'CO'], ['CH2_1', 'CO']], 641:[['CH2_1', 'C2H2'], ['C3H3', 'H']], 642:[['C3H3', 'H'], ['CH2_1', 'C2H2']], 643:[['N_2D', 'H2'], ['NH', 'H']], 644:[['NH', 'H'], ['N_2D', 'H2']], 645:[['N_2D', 'H2O'], ['NH', 'OH']], 646:[['NH', 'OH'], ['N_2D', 'H2O']], 647:[['N_2D', 'NH3'], ['NH', 'NH2']], 648:[['NH', 'NH2'], ['N_2D', 'NH3']], 649:[['N_2D', 'O2'], ['NO', 'O']], 650:[['NO', 'O'], ['N_2D', 'O2']], 651:[['N_2D', 'N2O'], ['N2', 'NO']], 652:[['N2', 'NO'], ['N_2D', 'N2O']], 653:[['OH', 'CH3'], ['CH2_1', 'H2O']], 654:[['CH2_1', 'H2O'], ['OH', 'CH3']], 655:[['He'], ['He']], 656:[['He'], ['He']], 657:[['H', 'H'], ['H2']], 658:[['H2'], ['H', 'H']], 659:[['H', 'O'], ['OH']], 660:[['OH'], ['H', 'O']], 661:[['OH', 'H'], ['H2O']], 662:[['H2O'], ['OH', 'H']],
+663:[['H', 'CH'], ['CH2']], 664:[['CH2'], ['H', 'CH']], 665:[['H', 'CH3'], ['CH4']], 666:[['CH4'], ['H', 'CH3']], 667:[['H', 'C2H2'], ['C2H3']], 668:[['C2H3'], ['H', 'C2H2']], 669:[['H', 'C2H3'], ['C2H4']], 670:[['C2H4'], ['H', 'C2H3']], 671:[['H', 'C2H4'], ['C2H5']], 672:[['C2H5'], ['H', 'C2H4']], 673:[['H', 'C2H5'], ['C2H6']], 674:[['C2H6'], ['H', 'C2H5']], 675:[['H2', 'C'], ['CH2']], 676:[['CH2'], ['H2', 'C']], 677:[['CH'], ['C', 'H']], 678:[['C', 'H'], ['CH']], 679:[['CH2', 'H'], ['CH3']], 680:[['CH3'], ['CH2', 'H']], 681:[['CH', 'H2'], ['CH3']], 682:[['CH3'], ['CH', 'H2']], 683:[['CH3', 'CH3'], ['C2H6']], 684:[['C2H6'], ['CH3', 'CH3']], 685:[['C2H', 'H'], ['C2H2']], 686:[['C2H2'], ['C2H', 'H']], 687:[['C2H4'], ['C2H2', 'H2']], 688:[['C2H2', 'H2'], ['C2H4']], 689:[['C2H6'], ['C2H4', 'H2']], 690:[['C2H4', 'H2'], ['C2H6']], 691:[['CO', 'O'], ['CO2']], 692:[['CO2'], ['CO', 'O']], 693:[['CH2OH'], ['H', 'H2CO']], 694:[['H', 'H2CO'], ['CH2OH']], 695:[['H', 'CO'], ['HCO']], 696:[['HCO'], ['H', 'CO']], 697:[['H2O', 'CH'], ['CH2OH']], 698:[['CH2OH'], ['H2O', 'CH']], 699:[['CH3O'], ['H', 'H2CO']], 700:[['H', 'H2CO'], ['CH3O']], 701:[['CH2OH', 'H'], ['CH3OH']], 702:[['CH3OH'], ['CH2OH', 'H']], 703:[['OH', 'C2H2'], ['CH3CO']], 704:[['CH3CO'], ['OH', 'C2H2']], 705:[['CO', 'CH3'], ['CH3CO']], 706:[['CH3CO'], ['CO', 'CH3']], 707:[['HCO', 'H'], ['H2CO']], 708:[['H2CO'], ['HCO', 'H']], 709:[['CO', 'H2'], ['H2CO']], 710:[['H2CO'], ['CO', 'H2']], 711:[['H', 'NH2'], ['NH3']], 712:[['NH3'], ['H', 'NH2']], 713:[['H', 'CN'], ['HCN']], 714:[['HCN'], ['H', 'CN']], 715:[['H2', 'N'], ['NH2']], 716:[['NH2'], ['H2', 'N']], 717:[['N', 'N'], ['N2']], 718:[['N2'], ['N', 'N']], 719:[['N2H3'], ['N2H2', 'H']], 720:[['N2H2', 'H'], ['N2H3']], 721:[['HCN', 'H'], ['H2CN']], 722:[['H2CN'], ['HCN', 'H']], 723:[['HNCO'], ['CO', 'NH']], 724:[['CO', 'NH'], ['HNCO']], 725:[['NH2', 'NH2'], ['N2H4']], 726:[['N2H4'], ['NH2', 'NH2']], 727:[['NO', 'O'], ['NO2']], 728:[['NO2'], ['NO', 'O']], 729:[['N2O'], ['N2', 'O']], 730:[['N2', 'O'], ['N2O']], 731:[['N2H'], ['N2', 'H']], 732:[['N2', 'H'], ['N2H']], 733:[['NH2', 'CH3'], ['CH3NH2']], 734:[['CH3NH2'], ['NH2', 'CH3']], 735:[['H', 'NO'], ['HNO']], 736:[['HNO'], ['H', 'NO']], 737:[['NO', 'OH'], ['HNO2']], 738:[['HNO2'], ['NO', 'OH']], 739:[['C', 'C'], ['C2']], 740:[['C2'], ['C', 'C']], 741:[['HO2', 'HO2'], ['H2O2', 'O2']], 742:[['H2O2', 'O2'], ['HO2', 'HO2']], 743:[['OH', 'OH'], ['H2O2']], 744:[['H2O2'], ['OH', 'OH']], 745:[['H', 'O2'], ['HO2']], 746:[['HO2'], ['H', 'O2']], 747:[['CH2CN', 'H'], ['CH3CN']], 748:[['CH3CN'], ['CH2CN', 'H']], 749:[['C3H2', 'H'], ['C3H3']], 750:[['C3H3'], ['C3H2', 'H']], 751:[['C3H3', 'C3H3'], ['C6H6']], 752:[['C6H6'], ['C3H3', 'C3H3']], 753:[['N2H2'], ['N2H', 'H']], 754:[['N2H', 'H'], ['N2H2']], 755:[['C3H3', 'H'], ['C3H4']], 756:[['C3H4'], ['C3H3', 'H']], 757:[['CH2', 'C2H2'], ['C3H4']], 758:[['C3H4'], ['CH2', 'C2H2']], 759:[['C6H5', 'H'], ['C6H6']], 760:[['C6H6'], ['C6H5', 'H']], 761:[['C4H2', 'H'], ['C4H3']], 762:[['C4H3'], ['C4H2', 'H']], 763:[['C2H2', 'C4H3'], ['C6H5']], 764:[['C6H5'], ['C2H2', 'C4H3']],
+765:[['C2H2', 'C2H3'], ['C4H5']], 766:[['C4H5'], ['C2H2', 'C2H3']], 767:[['C2H'], ['C2', 'H']], 768:[['C2', 'H'], ['C2H']], 769:[['O', 'C'], ['CO']], 770:[['CO'], ['O', 'C']], 771:[['NH'], ['H', 'N']], 772:[['H', 'N'], ['NH']], 773:[['O', 'N'], ['NO']], 774:[['NO'], ['O', 'N']], 775:[['O', 'O'], ['O2']], 776:[['O2'], ['O', 'O']], 777:[['HNCO'], ['H', 'NCO']], 778:[['H', 'NCO'], ['HNCO']], 779:[['N_2D'], ['N']], 780:[['N'], ['N_2D']], 781:[['OH', 'CH3'], ['CH3OH']], 782:[['CH3OH'], ['OH', 'CH3']], 783:[['H2O'], ['H', 'OH']], 784:[['H', 'OH'], ['H2O']], 785:[['H2O'], ['H2', 'O_1']], 786:[['H2', 'O_1'], ['H2O']], 787:[['H2O'], ['H', 'H', 'O']], 788:[['H', 'H', 'O'], ['H2O']], 789:[['CH4'], ['CH3', 'H']], 790:[['CH3', 'H'], ['CH4']], 791:[['CH4'], ['CH2_1', 'H2']], 792:[['CH2_1', 'H2'], ['CH4']], 793:[['CH4'], ['CH2_1', 'H', 'H']], 794:[['CH2_1', 'H', 'H'], ['CH4']], 795:[['CH4'], ['CH', 'H2', 'H']], 796:[['CH', 'H2', 'H'], ['CH4']], 797:[['CH3'], ['CH', 'H2']], 798:[['CH', 'H2'], ['CH3']], 799:[['CH3'], ['CH2_1', 'H']], 800:[['CH2_1', 'H'], ['CH3']], 801:[['CO'], ['C', 'O']], 802:[['C', 'O'], ['CO']], 803:[['H2'], ['H', 'H']], 804:[['H', 'H'], ['H2']], 805:[['C2H2'], ['C2H', 'H']], 806:[['C2H', 'H'], ['C2H2']], 807:[['CO2'], ['CO', 'O']], 808:[['CO', 'O'], ['CO2']], 809:[['CO2'], ['CO', 'O_1']], 810:[['CO', 'O_1'], ['CO2']], 811:[['C2H4'], ['C2H2', 'H2']], 812:[['C2H2', 'H2'], ['C2H4']], 813:[['C2H4'], ['C2H2', 'H', 'H']], 814:[['C2H2', 'H', 'H'], ['C2H4']], 815:[['C2H4'], ['C2H3', 'H']], 816:[['C2H3', 'H'], ['C2H4']], 817:[['C2H6'], ['C2H4', 'H2']], 818:[['C2H4', 'H2'], ['C2H6']], 819:[['C2H6'], ['C2H4', 'H', 'H']], 820:[['C2H4', 'H', 'H'], ['C2H6']], 821:[['C2H6'], ['C2H2', 'H2', 'H2']], 822:[['C2H2', 'H2', 'H2'], ['C2H6']], 823:[['C2H6'], ['CH4', 'CH2_1']], 824:[['CH4', 'CH2_1'], ['C2H6']], 825:[['C2H6'], ['CH3', 'CH3']], 826:[['CH3', 'CH3'], ['C2H6']], 827:[['OH'], ['H', 'O']], 828:[['H', 'O'], ['OH']], 829:[['HCO'], ['H', 'CO']], 830:[['H', 'CO'], ['HCO']], 831:[['H2CO'], ['H2', 'CO']], 832:[['H2', 'CO'], ['H2CO']], 833:[['H2CO'], ['H', 'HCO']], 834:[['H', 'HCO'], ['H2CO']], 835:[['CH3OH'], ['CH3', 'OH']], 836:[['CH3', 'OH'], ['CH3OH']], 837:[['CH3OH'], ['H2CO', 'H2']], 838:[['H2CO', 'H2'], ['CH3OH']], 839:[['CH3OH'], ['CH3O', 'H']], 840:[['CH3O', 'H'], ['CH3OH']], 841:[['CH3CHO'], ['CH4', 'CO']], 842:[['CH4', 'CO'], ['CH3CHO']], 843:[['CH3CHO'], ['CH3', 'HCO']], 844:[['CH3', 'HCO'], ['CH3CHO']], 845:[['N2'], ['N', 'N']], 846:[['N', 'N'], ['N2']], 847:[['NH3'], ['NH2', 'H']], 848:[['NH2', 'H'], ['NH3']], 849:[['NH3'], ['NH', 'H', 'H']], 850:[['NH', 'H', 'H'], ['NH3']], 851:[['HCN'], ['H', 'CN']], 852:[['H', 'CN'], ['HCN']], 853:[['NO'], ['N', 'O']], 854:[['N', 'O'], ['NO']], 855:[['NO2'], ['NO', 'O']], 856:[['NO', 'O'], ['NO2']], 857:[['N2H4'], ['N2H3', 'H']], 858:[['N2H3', 'H'], ['N2H4']], 859:[['HNCO'], ['NH', 'CO']], 860:[['NH', 'CO'], ['HNCO']], 861:[['HNCO'], ['H', 'NCO']], 862:[['H', 'NCO'], ['HNCO']], 863:[['HO2'], ['O', 'OH']], 864:[['O', 'OH'], ['HO2']], 865:[['O2'], ['O', 'O']], 866:[['O', 'O'], ['O2']],
+867:[['O2'], ['O', 'O_1']], 868:[['O', 'O_1'], ['O2']], 869:[['C4H2'], ['C2H2', 'C2']], 870:[['C2H2', 'C2'], ['C4H2']], 871:[['CH2'], ['CH', 'H']], 872:[['CH', 'H'], ['CH2']], 873:[['C6H6'], ['C6H5', 'H']], 874:[['C6H5', 'H'], ['C6H6']], 875:[['C6H6'], ['C3H3', 'C3H3']], 876:[['C3H3', 'C3H3'], ['C6H6']], 877:[['HNO2'], ['NO', 'OH']], 878:[['NO', 'OH'], ['HNO2']]}
# store the products and the reactants in the 1st and the 2nd element for reaction j (with M)
-re_wM_dict = {1:[['H', 'H2O'], ['OH', 'H2']], 2:[['OH', 'H2'], ['H', 'H2O']], 3:[['O', 'H2'], ['OH', 'H']], 4:[['OH', 'H'], ['O', 'H2']], 5:[['O', 'H2O'], ['OH', 'OH']], 6:[['OH', 'OH'], ['O', 'H2O']], 7:[['H', 'CH'], ['H2', 'C']], 8:[['H2', 'C'], ['H', 'CH']], 9:[['H', 'CH2'], ['CH', 'H2']], 10:[['CH', 'H2'], ['H', 'CH2']], 11:[['CH2', 'H2'], ['H', 'CH3']], 12:[['H', 'CH3'], ['CH2', 'H2']], 13:[['H', 'CH4'], ['CH3', 'H2']], 14:[['CH3', 'H2'], ['H', 'CH4']], 15:[['C', 'CH'], ['C2', 'H']], 16:[['C2', 'H'], ['C', 'CH']], 17:[['CH3', 'C'], ['H', 'C2H2']], 18:[['H', 'C2H2'], ['CH3', 'C']], 19:[['H2', 'C2H'], ['H', 'C2H2']], 20:[['H', 'C2H2'], ['H2', 'C2H']], 21:[['CH', 'CH2'], ['H', 'C2H2']], 22:[['H', 'C2H2'], ['CH', 'CH2']], 23:[['H', 'C2H3'], ['C2H2', 'H2']], 24:[['C2H2', 'H2'], ['H', 'C2H3']], 25:[['H2', 'C2H3'], ['H', 'C2H4']], 26:[['H', 'C2H4'], ['H2', 'C2H3']], 27:[['CH', 'CH4'], ['H', 'C2H4']], 28:[['H', 'C2H4'], ['CH', 'CH4']], 29:[['CH2', 'CH3'], ['H', 'C2H4']], 30:[['H', 'C2H4'], ['CH2', 'CH3']], 31:[['H', 'C2H5'], ['CH3', 'CH3']], 32:[['CH3', 'CH3'], ['H', 'C2H5']], 33:[['H', 'C2H5'], ['C2H4', 'H2']], 34:[['C2H4', 'H2'], ['H', 'C2H5']], 35:[['H', 'C2H6'], ['C2H5', 'H2']], 36:[['C2H5', 'H2'], ['H', 'C2H6']], 37:[['OH', 'CO'], ['H', 'CO2']], 38:[['H', 'CO2'], ['OH', 'CO']], 39:[['CH', 'CH3'], ['H2', 'C2H2']], 40:[['H2', 'C2H2'], ['CH', 'CH3']], 41:[['C2', 'O'], ['C', 'CO']], 42:[['C', 'CO'], ['C2', 'O']], 43:[['CH2', 'CH2'], ['C2H2', 'H', 'H']], 44:[['C2H2', 'H', 'H'], ['CH2', 'CH2']], 45:[['CH2', 'CH2'], ['CH', 'CH3']], 46:[['CH', 'CH3'], ['CH2', 'CH2']], 47:[['CH2', 'CH2'], ['H', 'C2H3']], 48:[['H', 'C2H3'], ['CH2', 'CH2']], 49:[['CH2', 'CH4'], ['CH3', 'CH3']], 50:[['CH3', 'CH3'], ['CH2', 'CH4']],
+re_wM_dict = {1:[['OH', 'H2'], ['H2O', 'H']], 2:[['H2O', 'H'], ['OH', 'H2']], 3:[['O', 'H2'], ['OH', 'H']], 4:[['OH', 'H'], ['O', 'H2']], 5:[['O', 'H2O'], ['OH', 'OH']], 6:[['OH', 'OH'], ['O', 'H2O']], 7:[['H', 'CH'], ['H2', 'C']], 8:[['H2', 'C'], ['H', 'CH']], 9:[['H', 'CH2'], ['CH', 'H2']], 10:[['CH', 'H2'], ['H', 'CH2']], 11:[['CH2', 'H2'], ['H', 'CH3']], 12:[['H', 'CH3'], ['CH2', 'H2']], 13:[['H', 'CH4'], ['CH3', 'H2']], 14:[['CH3', 'H2'], ['H', 'CH4']], 15:[['C', 'CH'], ['C2', 'H']], 16:[['C2', 'H'], ['C', 'CH']], 17:[['CH3', 'C'], ['H', 'C2H2']], 18:[['H', 'C2H2'], ['CH3', 'C']], 19:[['H2', 'C2H'], ['H', 'C2H2']], 20:[['H', 'C2H2'], ['H2', 'C2H']], 21:[['CH', 'CH2'], ['H', 'C2H2']], 22:[['H', 'C2H2'], ['CH', 'CH2']], 23:[['H', 'C2H3'], ['C2H2', 'H2']], 24:[['C2H2', 'H2'], ['H', 'C2H3']], 25:[['H2', 'C2H3'], ['H', 'C2H4']], 26:[['H', 'C2H4'], ['H2', 'C2H3']], 27:[['CH', 'CH4'], ['H', 'C2H4']], 28:[['H', 'C2H4'], ['CH', 'CH4']], 29:[['CH2', 'CH3'], ['H', 'C2H4']], 30:[['H', 'C2H4'], ['CH2', 'CH3']], 31:[['H', 'C2H5'], ['CH3', 'CH3']], 32:[['CH3', 'CH3'], ['H', 'C2H5']], 33:[['H', 'C2H5'], ['C2H4', 'H2']], 34:[['C2H4', 'H2'], ['H', 'C2H5']], 35:[['H', 'C2H6'], ['C2H5', 'H2']], 36:[['C2H5', 'H2'], ['H', 'C2H6']], 37:[['OH', 'CO'], ['H', 'CO2']], 38:[['H', 'CO2'], ['OH', 'CO']], 39:[['CH', 'CH3'], ['H2', 'C2H2']], 40:[['H2', 'C2H2'], ['CH', 'CH3']], 41:[['C2', 'O'], ['C', 'CO']], 42:[['C', 'CO'], ['C2', 'O']], 43:[['CH2', 'CH2'], ['C2H2', 'H', 'H']], 44:[['C2H2', 'H', 'H'], ['CH2', 'CH2']], 45:[['CH2', 'CH2'], ['CH', 'CH3']], 46:[['CH', 'CH3'], ['CH2', 'CH2']], 47:[['CH2', 'CH2'], ['H', 'C2H3']], 48:[['H', 'C2H3'], ['CH2', 'CH2']], 49:[['CH2', 'CH4'], ['CH3', 'CH3']], 50:[['CH3', 'CH3'], ['CH2', 'CH4']],
51:[['CH2', 'C2H5'], ['CH3', 'C2H4']], 52:[['CH3', 'C2H4'], ['CH2', 'C2H5']], 53:[['CH3', 'OH'], ['CH2', 'H2O']], 54:[['CH2', 'H2O'], ['CH3', 'OH']], 55:[['C2H', 'OH'], ['CH2', 'CO']], 56:[['CH2', 'CO'], ['C2H', 'OH']], 57:[['C2H2', 'O'], ['CH2', 'CO']], 58:[['CH2', 'CO'], ['C2H2', 'O']], 59:[['CH3', 'C2H'], ['C2H2', 'CH2']], 60:[['C2H2', 'CH2'], ['CH3', 'C2H']], 61:[['CH4', 'C2H'], ['CH3', 'C2H2']], 62:[['CH3', 'C2H2'], ['CH4', 'C2H']], 63:[['CH3', 'C2H3'], ['CH4', 'C2H2']], 64:[['CH4', 'C2H2'], ['CH3', 'C2H3']], 65:[['CH4', 'C2H3'], ['CH3', 'C2H4']], 66:[['CH3', 'C2H4'], ['CH4', 'C2H3']], 67:[['CH3', 'C2H5'], ['CH4', 'C2H4']], 68:[['CH4', 'C2H4'], ['CH3', 'C2H5']], 69:[['CH3', 'C2H6'], ['CH4', 'C2H5']], 70:[['CH4', 'C2H5'], ['CH3', 'C2H6']], 71:[['C2H2', 'OH'], ['CH3', 'CO']], 72:[['CH3', 'CO'], ['C2H2', 'OH']], 73:[['C2', 'H2'], ['H', 'C2H']], 74:[['H', 'C2H'], ['C2', 'H2']], 75:[['C2', 'CH4'], ['CH3', 'C2H']], 76:[['CH3', 'C2H'], ['C2', 'CH4']], 77:[['C2H', 'CH2'], ['CH', 'C2H2']], 78:[['CH', 'C2H2'], ['C2H', 'CH2']], 79:[['C2H', 'C2H6'], ['C2H2', 'C2H5']], 80:[['C2H2', 'C2H5'], ['C2H', 'C2H6']], 81:[['C2H', 'O'], ['CH', 'CO']], 82:[['CH', 'CO'], ['C2H', 'O']], 83:[['C2H', 'OH'], ['C2H2', 'O']], 84:[['C2H2', 'O'], ['C2H', 'OH']], 85:[['C2H', 'H2O'], ['C2H2', 'OH']], 86:[['C2H2', 'OH'], ['C2H', 'H2O']], 87:[['C2H3', 'C2H3'], ['C2H4', 'C2H2']], 88:[['C2H4', 'C2H2'], ['C2H3', 'C2H3']], 89:[['C2H3', 'C2H5'], ['C2H4', 'C2H4']], 90:[['C2H4', 'C2H4'], ['C2H3', 'C2H5']], 91:[['C2H3', 'C2H5'], ['C2H6', 'C2H2']], 92:[['C2H6', 'C2H2'], ['C2H3', 'C2H5']], 93:[['C2H4', 'OH'], ['C2H3', 'H2O']], 94:[['C2H3', 'H2O'], ['C2H4', 'OH']], 95:[['C2H5', 'C2H5'], ['C2H4', 'C2H6']], 96:[['C2H4', 'C2H6'], ['C2H5', 'C2H5']], 97:[['C2H5', 'C2H4'], ['C2H3', 'C2H6']], 98:[['C2H3', 'C2H6'], ['C2H5', 'C2H4']], 99:[['C2H6', 'OH'], ['C2H5', 'H2O']], 100:[['C2H5', 'H2O'], ['C2H6', 'OH']], 101:[['CH', 'O'], ['OH', 'C']], 102:[['OH', 'C'], ['CH', 'O']], 103:[['O', 'CH'], ['H', 'CO']], 104:[['H', 'CO'], ['O', 'CH']], 105:[['O', 'CH3'], ['CH2', 'OH']], 106:[['CH2', 'OH'], ['O', 'CH3']], 107:[['CH3', 'OH'], ['O', 'CH4']], 108:[['O', 'CH4'], ['CH3', 'OH']], 109:[['O', 'C2H6'], ['OH', 'C2H5']], 110:[['OH', 'C2H5'], ['O', 'C2H6']], 111:[['OH', 'C'], ['CO', 'H']], 112:[['CO', 'H'], ['OH', 'C']], 113:[['OH', 'CH2'], ['H2O', 'CH']], 114:[['H2O', 'CH'], ['OH', 'CH2']], 115:[['OH', 'CH4'], ['H2O', 'CH3']], 116:[['H2O', 'CH3'], ['OH', 'CH4']], 117:[['OH', 'C2H3'], ['H2O', 'C2H2']], 118:[['H2O', 'C2H2'], ['OH', 'C2H3']], 119:[['OH', 'C2H5'], ['H2O', 'C2H4']], 120:[['H2O', 'C2H4'], ['OH', 'C2H5']], 121:[['CH2OH', 'H'], ['OH', 'CH3']], 122:[['OH', 'CH3'], ['CH2OH', 'H']], 123:[['H2CO', 'H'], ['HCO', 'H2']], 124:[['HCO', 'H2'], ['H2CO', 'H']], 125:[['O', 'C2H4'], ['HCO', 'CH3']], 126:[['HCO', 'CH3'], ['O', 'C2H4']], 127:[['H2CO', 'CH3'], ['CH4', 'HCO']], 128:[['CH4', 'HCO'], ['H2CO', 'CH3']], 129:[['CH3', 'CH2OH'], ['H2CO', 'CH4']], 130:[['H2CO', 'CH4'], ['CH3', 'CH2OH']], 131:[['HCO', 'H'], ['CO', 'H2']], 132:[['CO', 'H2'], ['HCO', 'H']], 133:[['HCO', 'OH'], ['CO', 'H2O']], 134:[['CO', 'H2O'], ['HCO', 'OH']], 135:[['CO2', 'CH'], ['HCO', 'CO']], 136:[['HCO', 'CO'], ['CO2', 'CH']], 137:[['CH3', 'O'], ['H2CO', 'H']], 138:[['H2CO', 'H'], ['CH3', 'O']], 139:[['CH3O', 'O'], ['H2CO', 'OH']], 140:[['H2CO', 'OH'], ['CH3O', 'O']], 141:[['CH3O', 'OH'], ['H2CO', 'H2O']], 142:[['H2CO', 'H2O'], ['CH3O', 'OH']], 143:[['CH3OH', 'H'], ['CH3O', 'H2']], 144:[['CH3O', 'H2'], ['CH3OH', 'H']], 145:[['CH3OH', 'H'], ['CH3', 'H2O']], 146:[['CH3', 'H2O'], ['CH3OH', 'H']], 147:[['CH2', 'O'], ['CO', 'H', 'H']], 148:[['CO', 'H', 'H'], ['CH2', 'O']], 149:[['CH2', 'OH'], ['H2CO', 'H']], 150:[['H2CO', 'H'], ['CH2', 'OH']], 151:[['CO2', 'CH2'], ['H2CO', 'CO']], 152:[['H2CO', 'CO'], ['CO2', 'CH2']],
-153:[['CH3O', 'CO'], ['CH3', 'CO2']], 154:[['CH3', 'CO2'], ['CH3O', 'CO']], 155:[['CH3OH', 'H'], ['CH2OH', 'H2']], 156:[['CH2OH', 'H2'], ['CH3OH', 'H']], 157:[['HCO', 'C2H'], ['C2H2', 'CO']], 158:[['C2H2', 'CO'], ['HCO', 'C2H']], 159:[['CH2OH', 'C2H'], ['H2CO', 'C2H2']], 160:[['H2CO', 'C2H2'], ['CH2OH', 'C2H']], 161:[['CH3O', 'C2H'], ['H2CO', 'C2H2']], 162:[['H2CO', 'C2H2'], ['CH3O', 'C2H']], 163:[['CH3OH', 'C2H'], ['CH2OH', 'C2H2']], 164:[['CH2OH', 'C2H2'], ['CH3OH', 'C2H']], 165:[['CH3OH', 'C2H'], ['CH3O', 'C2H2']], 166:[['CH3O', 'C2H2'], ['CH3OH', 'C2H']], 167:[['O', 'C2H3'], ['C2H2', 'OH']], 168:[['C2H2', 'OH'], ['O', 'C2H3']], 169:[['CH', 'C2H4'], ['C2H2', 'CH3']], 170:[['C2H2', 'CH3'], ['CH', 'C2H4']], 171:[['CH2', 'C2H3'], ['C2H2', 'CH3']], 172:[['C2H2', 'CH3'], ['CH2', 'C2H3']], 173:[['O', 'CH2'], ['CO', 'H2']], 174:[['CO', 'H2'], ['O', 'CH2']], 175:[['HCO', 'CH2'], ['CO', 'CH3']], 176:[['CO', 'CH3'], ['HCO', 'CH2']], 177:[['CH2OH', 'CH2'], ['OH', 'C2H4']], 178:[['OH', 'C2H4'], ['CH2OH', 'CH2']], 179:[['CH2OH', 'CH2'], ['H2CO', 'CH3']], 180:[['H2CO', 'CH3'], ['CH2OH', 'CH2']], 181:[['CH3O', 'CH2'], ['H2CO', 'CH3']], 182:[['H2CO', 'CH3'], ['CH3O', 'CH2']], 183:[['CH3OH', 'CH2'], ['CH3O', 'CH3']], 184:[['CH3O', 'CH3'], ['CH3OH', 'CH2']], 185:[['CH3OH', 'CH2'], ['CH2OH', 'CH3']], 186:[['CH2OH', 'CH3'], ['CH3OH', 'CH2']], 187:[['HCO', 'CH3'], ['CO', 'CH4']], 188:[['CO', 'CH4'], ['HCO', 'CH3']], 189:[['CH3O', 'CH3'], ['H2CO', 'CH4']], 190:[['H2CO', 'CH4'], ['CH3O', 'CH3']], 191:[['CH3OH', 'CH3'], ['CH3O', 'CH4']], 192:[['CH3O', 'CH4'], ['CH3OH', 'CH3']], 193:[['CH3CO', 'H'], ['HCO', 'CH3']], 194:[['HCO', 'CH3'], ['CH3CO', 'H']], 195:[['CH3CO', 'CH3'], ['CO', 'C2H6']], 196:[['CO', 'C2H6'], ['CH3CO', 'CH3']], 197:[['O', 'OH'], ['O2', 'H']], 198:[['O2', 'H'], ['O', 'OH']], 199:[['H', 'CH3O'], ['H2CO', 'H2']], 200:[['H2CO', 'H2'], ['H', 'CH3O']], 201:[['H', 'H2CCO'], ['CO', 'CH3']], 202:[['CO', 'CH3'], ['H', 'H2CCO']], 203:[['O', 'C2H3'], ['H2CCO', 'H']], 204:[['H2CCO', 'H'], ['O', 'C2H3']], 205:[['C2H2', 'O'], ['HCCO', 'H']], 206:[['HCCO', 'H'], ['C2H2', 'O']], 207:[['HCCO', 'H'], ['CO', 'CH2']], 208:[['CO', 'CH2'], ['HCCO', 'H']], 209:[['O', 'H2CO'], ['HCO', 'OH']], 210:[['HCO', 'OH'], ['O', 'H2CO']], 211:[['HCO', 'HCO'], ['H2CO', 'CO']], 212:[['H2CO', 'CO'], ['HCO', 'HCO']], 213:[['CH2OH', 'CH3O'], ['H2CO', 'CH3OH']], 214:[['H2CO', 'CH3OH'], ['CH2OH', 'CH3O']], 215:[['CH3O', 'CH3O'], ['H2CO', 'CH3OH']], 216:[['H2CO', 'CH3OH'], ['CH3O', 'CH3O']], 217:[['N', 'CH'], ['NH', 'C']], 218:[['NH', 'C'], ['N', 'CH']], 219:[['N', 'CH'], ['CN', 'H']], 220:[['CN', 'H'], ['N', 'CH']], 221:[['N', 'CH2'], ['NH', 'CH']], 222:[['NH', 'CH'], ['N', 'CH2']], 223:[['N', 'CH2'], ['HCN', 'H']], 224:[['HCN', 'H'], ['N', 'CH2']], 225:[['N', 'C2'], ['CN', 'C']], 226:[['CN', 'C'], ['N', 'C2']], 227:[['H', 'NO'], ['OH', 'N']], 228:[['OH', 'N'], ['H', 'NO']], 229:[['H', 'NH'], ['H2', 'N']], 230:[['H2', 'N'], ['H', 'NH']], 231:[['H', 'NH2'], ['H2', 'NH']], 232:[['H2', 'NH'], ['H', 'NH2']], 233:[['H2', 'CN'], ['H', 'HCN']], 234:[['H', 'HCN'], ['H2', 'CN']], 235:[['CH2', 'CN'], ['CH', 'HCN']], 236:[['CH', 'HCN'], ['CH2', 'CN']], 237:[['CH3', 'NH'], ['CH4', 'N']], 238:[['CH4', 'N'], ['CH3', 'NH']], 239:[['CH3', 'NH2'], ['CH4', 'NH']], 240:[['CH4', 'NH'], ['CH3', 'NH2']], 241:[['CH3', 'CN'], ['CH2', 'HCN']], 242:[['CH2', 'HCN'], ['CH3', 'CN']], 243:[['CH4', 'CN'], ['HCN', 'CH3']], 244:[['HCN', 'CH3'], ['CH4', 'CN']], 245:[['C2', 'N2'], ['CN', 'CN']], 246:[['CN', 'CN'], ['C2', 'N2']], 247:[['NH2', 'C2H'], ['NH', 'C2H2']], 248:[['NH', 'C2H2'], ['NH2', 'C2H']], 249:[['NH2', 'C2H3'], ['NH3', 'C2H2']], 250:[['NH3', 'C2H2'], ['NH2', 'C2H3']], 251:[['NH2', 'C2H4'], ['NH3', 'C2H3']], 252:[['NH3', 'C2H3'], ['NH2', 'C2H4']], 253:[['NH2', 'C2H5'], ['NH3', 'C2H4']], 254:[['NH3', 'C2H4'], ['NH2', 'C2H5']],
-255:[['NH2', 'C2H6'], ['NH3', 'C2H5']], 256:[['NH3', 'C2H5'], ['NH2', 'C2H6']], 257:[['O', 'NH'], ['OH', 'N']], 258:[['OH', 'N'], ['O', 'NH']], 259:[['O', 'NH'], ['NO', 'H']], 260:[['NO', 'H'], ['O', 'NH']], 261:[['O', 'NH3'], ['OH', 'NH2']], 262:[['OH', 'NH2'], ['O', 'NH3']], 263:[['OH', 'NH'], ['H2O', 'N']], 264:[['H2O', 'N'], ['OH', 'NH']], 265:[['OH', 'CN'], ['O', 'HCN']], 266:[['O', 'HCN'], ['OH', 'CN']], 267:[['OH', 'HCN'], ['H2O', 'CN']], 268:[['H2O', 'CN'], ['OH', 'HCN']], 269:[['OH', 'HCN'], ['NH2', 'CO']], 270:[['NH2', 'CO'], ['OH', 'HCN']], 271:[['OH', 'NH'], ['O', 'NH2']], 272:[['O', 'NH2'], ['OH', 'NH']], 273:[['NH2', 'OH'], ['H2O', 'NH']], 274:[['H2O', 'NH'], ['NH2', 'OH']], 275:[['CN', 'O'], ['N', 'CO']], 276:[['N', 'CO'], ['CN', 'O']], 277:[['N', 'CO2'], ['CO', 'NO']], 278:[['CO', 'NO'], ['N', 'CO2']], 279:[['N', 'NO'], ['N2', 'O']], 280:[['N2', 'O'], ['N', 'NO']], 281:[['N', 'NH'], ['N2', 'H']], 282:[['N2', 'H'], ['N', 'NH']], 283:[['N', 'CN'], ['N2', 'C']], 284:[['N2', 'C'], ['N', 'CN']], 285:[['N2', 'CH2'], ['NH', 'HCN']], 286:[['NH', 'HCN'], ['N2', 'CH2']], 287:[['NO', 'C'], ['O', 'CN']], 288:[['O', 'CN'], ['NO', 'C']], 289:[['NO', 'CH'], ['O', 'HCN']], 290:[['O', 'HCN'], ['NO', 'CH']], 291:[['NO', 'CH'], ['CO', 'NH']], 292:[['CO', 'NH'], ['NO', 'CH']], 293:[['NO', 'CH3'], ['HCN', 'H2O']], 294:[['HCN', 'H2O'], ['NO', 'CH3']], 295:[['NO', 'NH'], ['N2', 'OH']], 296:[['N2', 'OH'], ['NO', 'NH']], 297:[['NO', 'NH2'], ['N2', 'H2O']], 298:[['N2', 'H2O'], ['NO', 'NH2']], 299:[['NO', 'CN'], ['N2', 'CO']], 300:[['N2', 'CO'], ['NO', 'CN']], 301:[['NH', 'C'], ['H', 'CN']], 302:[['H', 'CN'], ['NH', 'C']], 303:[['NH', 'NH'], ['N2', 'H2']], 304:[['N2', 'H2'], ['NH', 'NH']], 305:[['NH2', 'H2'], ['NH3', 'H']], 306:[['NH3', 'H'], ['NH2', 'H2']], 307:[['NH2', 'CH4'], ['CH3', 'NH3']], 308:[['CH3', 'NH3'], ['NH2', 'CH4']], 309:[['NH2', 'O'], ['H2', 'NO']], 310:[['H2', 'NO'], ['NH2', 'O']], 311:[['NH2', 'H2O'], ['NH3', 'OH']], 312:[['NH3', 'OH'], ['NH2', 'H2O']], 313:[['NH2', 'NH2'], ['NH3', 'NH']], 314:[['NH3', 'NH'], ['NH2', 'NH2']], 315:[['NH3', 'CH'], ['NH2', 'CH2']], 316:[['NH2', 'CH2'], ['NH3', 'CH']], 317:[['NH3', 'CN'], ['HCN', 'NH2']], 318:[['HCN', 'NH2'], ['NH3', 'CN']], 319:[['NH', 'H2CN'], ['HCN', 'NH2']], 320:[['HCN', 'NH2'], ['NH', 'H2CN']], 321:[['CN', 'C2H6'], ['C2H5', 'HCN']], 322:[['C2H5', 'HCN'], ['CN', 'C2H6']], 323:[['HCN', 'O'], ['CO', 'NH']], 324:[['CO', 'NH'], ['HCN', 'O']], 325:[['NH', 'NH2'], ['N2H2', 'H']], 326:[['N2H2', 'H'], ['NH', 'NH2']], 327:[['NH2', 'N2H2'], ['NH3', 'N2H']], 328:[['NH3', 'N2H'], ['NH2', 'N2H2']], 329:[['NH2', 'N2H3'], ['NH3', 'N2H2']], 330:[['NH3', 'N2H2'], ['NH2', 'N2H3']], 331:[['N2H2', 'H'], ['N2H', 'H2']], 332:[['N2H', 'H2'], ['N2H2', 'H']], 333:[['N2H2', 'CH3'], ['N2H', 'CH4']], 334:[['N2H', 'CH4'], ['N2H2', 'CH3']], 335:[['N2H2', 'OH'], ['N2H', 'H2O']], 336:[['N2H', 'H2O'], ['N2H2', 'OH']], 337:[['N2H3', 'H'], ['N2H2', 'H2']], 338:[['N2H2', 'H2'], ['N2H3', 'H']], 339:[['N2H3', 'O'], ['N2H2', 'OH']], 340:[['N2H2', 'OH'], ['N2H3', 'O']], 341:[['N2H3', 'OH'], ['N2H2', 'H2O']], 342:[['N2H2', 'H2O'], ['N2H3', 'OH']], 343:[['N2H3', 'N2H3'], ['N2H4', 'N2H2']], 344:[['N2H4', 'N2H2'], ['N2H3', 'N2H3']], 345:[['N2H', 'H'], ['N2', 'H2']], 346:[['N2', 'H2'], ['N2H', 'H']], 347:[['N2H', 'OH'], ['N2', 'H2O']], 348:[['N2', 'H2O'], ['N2H', 'OH']], 349:[['N2H', 'O'], ['N2', 'OH']], 350:[['N2', 'OH'], ['N2H', 'O']], 351:[['N2H', 'NH2'], ['N2', 'NH3']], 352:[['N2', 'NH3'], ['N2H', 'NH2']], 353:[['NH2', 'NO'], ['N2H', 'OH']], 354:[['N2H', 'OH'], ['NH2', 'NO']], 355:[['N2H', 'NO'], ['N2', 'HNO']], 356:[['N2', 'HNO'], ['N2H', 'NO']],
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+765:[['C2H2', 'C2H3', 'M'], ['C4H5', 'M']], 766:[['C4H5', 'M'], ['C2H2', 'C2H3', 'M']], 767:[['C2H', 'M'], ['C2', 'H', 'M']], 768:[['C2', 'H', 'M'], ['C2H', 'M']], 769:[['O', 'C', 'M'], ['CO', 'M']], 770:[['CO', 'M'], ['O', 'C', 'M']], 771:[['NH', 'M'], ['H', 'N', 'M']], 772:[['H', 'N', 'M'], ['NH', 'M']], 773:[['O', 'N', 'M'], ['NO', 'M']], 774:[['NO', 'M'], ['O', 'N', 'M']], 775:[['O', 'O', 'M'], ['O2', 'M']], 776:[['O2', 'M'], ['O', 'O', 'M']], 777:[['HNCO', 'M'], ['H', 'NCO']], 778:[['H', 'NCO'], ['HNCO', 'M']], 779:[['N_2D', 'M'], ['N', 'M']], 780:[['N', 'M'], ['N_2D', 'M']], 781:[['OH', 'CH3', 'M'], ['CH3OH', 'M']], 782:[['CH3OH', 'M'], ['OH', 'CH3', 'M']], 783:[['H2O'], ['H', 'OH']], 784:[['H', 'OH'], ['H2O']], 785:[['H2O'], ['H2', 'O_1']], 786:[['H2', 'O_1'], ['H2O']], 787:[['H2O'], ['H', 'H', 'O']], 788:[['H', 'H', 'O'], ['H2O']], 789:[['CH4'], ['CH3', 'H']], 790:[['CH3', 'H'], ['CH4']], 791:[['CH4'], ['CH2_1', 'H2']], 792:[['CH2_1', 'H2'], ['CH4']], 793:[['CH4'], ['CH2_1', 'H', 'H']], 794:[['CH2_1', 'H', 'H'], ['CH4']], 795:[['CH4'], ['CH', 'H2', 'H']], 796:[['CH', 'H2', 'H'], ['CH4']], 797:[['CH3'], ['CH', 'H2']], 798:[['CH', 'H2'], ['CH3']], 799:[['CH3'], ['CH2_1', 'H']], 800:[['CH2_1', 'H'], ['CH3']], 801:[['CO'], ['C', 'O']], 802:[['C', 'O'], ['CO']], 803:[['H2'], ['H', 'H']], 804:[['H', 'H'], ['H2']], 805:[['C2H2'], ['C2H', 'H']], 806:[['C2H', 'H'], ['C2H2']], 807:[['CO2'], ['CO', 'O']], 808:[['CO', 'O'], ['CO2']], 809:[['CO2'], ['CO', 'O_1']], 810:[['CO', 'O_1'], ['CO2']], 811:[['C2H4'], ['C2H2', 'H2']], 812:[['C2H2', 'H2'], ['C2H4']], 813:[['C2H4'], ['C2H2', 'H', 'H']], 814:[['C2H2', 'H', 'H'], ['C2H4']], 815:[['C2H4'], ['C2H3', 'H']], 816:[['C2H3', 'H'], ['C2H4']], 817:[['C2H6'], ['C2H4', 'H2']], 818:[['C2H4', 'H2'], ['C2H6']], 819:[['C2H6'], ['C2H4', 'H', 'H']], 820:[['C2H4', 'H', 'H'], ['C2H6']], 821:[['C2H6'], ['C2H2', 'H2', 'H2']], 822:[['C2H2', 'H2', 'H2'], ['C2H6']], 823:[['C2H6'], ['CH4', 'CH2_1']], 824:[['CH4', 'CH2_1'], ['C2H6']], 825:[['C2H6'], ['CH3', 'CH3']], 826:[['CH3', 'CH3'], ['C2H6']], 827:[['OH'], ['H', 'O']], 828:[['H', 'O'], ['OH']], 829:[['HCO'], ['H', 'CO']], 830:[['H', 'CO'], ['HCO']], 831:[['H2CO'], ['H2', 'CO']], 832:[['H2', 'CO'], ['H2CO']], 833:[['H2CO'], ['H', 'HCO']], 834:[['H', 'HCO'], ['H2CO']], 835:[['CH3OH'], ['CH3', 'OH']], 836:[['CH3', 'OH'], ['CH3OH']], 837:[['CH3OH'], ['H2CO', 'H2']], 838:[['H2CO', 'H2'], ['CH3OH']], 839:[['CH3OH'], ['CH3O', 'H']], 840:[['CH3O', 'H'], ['CH3OH']], 841:[['CH3CHO'], ['CH4', 'CO']], 842:[['CH4', 'CO'], ['CH3CHO']], 843:[['CH3CHO'], ['CH3', 'HCO']], 844:[['CH3', 'HCO'], ['CH3CHO']], 845:[['N2'], ['N', 'N']], 846:[['N', 'N'], ['N2']], 847:[['NH3'], ['NH2', 'H']], 848:[['NH2', 'H'], ['NH3']], 849:[['NH3'], ['NH', 'H', 'H']], 850:[['NH', 'H', 'H'], ['NH3']], 851:[['HCN'], ['H', 'CN']], 852:[['H', 'CN'], ['HCN']], 853:[['NO'], ['N', 'O']], 854:[['N', 'O'], ['NO']], 855:[['NO2'], ['NO', 'O']], 856:[['NO', 'O'], ['NO2']], 857:[['N2H4'], ['N2H3', 'H']], 858:[['N2H3', 'H'], ['N2H4']], 859:[['HNCO'], ['NH', 'CO']], 860:[['NH', 'CO'], ['HNCO']], 861:[['HNCO'], ['H', 'NCO']], 862:[['H', 'NCO'], ['HNCO']], 863:[['HO2'], ['O', 'OH']], 864:[['O', 'OH'], ['HO2']], 865:[['O2'], ['O', 'O']], 866:[['O', 'O'], ['O2']],
+867:[['O2'], ['O', 'O_1']], 868:[['O', 'O_1'], ['O2']], 869:[['C4H2'], ['C2H2', 'C2']], 870:[['C2H2', 'C2'], ['C4H2']], 871:[['CH2'], ['CH', 'H']], 872:[['CH', 'H'], ['CH2']], 873:[['C6H6'], ['C6H5', 'H']], 874:[['C6H5', 'H'], ['C6H6']], 875:[['C6H6'], ['C3H3', 'C3H3']], 876:[['C3H3', 'C3H3'], ['C6H6']], 877:[['HNO2'], ['NO', 'OH']], 878:[['NO', 'OH'], ['HNO2']]}
def chemdf(y, M, k):
y = np.transpose(y)
dydt = np.zeros(shape=y.shape)
- dydt[0] = -1*v_1(k, M, y[3], y[2], y[1], y[0]) +1*v_3(k, M, y[2], y[4], y[3], y[0]) -1*v_7(k, M, y[6], y[3], y[0], y[5]) -1*v_9(k, M, y[3], y[7], y[0], y[5]) +1*v_11(k, M, y[3], y[7], y[8], y[0]) -1*v_13(k, M, y[3], y[9], y[8], y[0]) +1*v_15(k, M, y[6], y[0], y[10], y[5]) +1*v_17(k, M, y[6], y[11], y[8], y[0]) +1*v_19(k, M, y[11], y[3], y[12], y[0]) +1*v_21(k, M, y[11], y[0], y[7], y[5]) -1*v_23(k, M, y[11], y[3], y[13], y[0]) +1*v_25(k, M, y[14], y[3], y[13], y[0]) +1*v_27(k, M, y[0], y[9], y[14], y[5]) +1*v_29(k, M, y[14], y[7], y[8], y[0]) -1*v_31(k, M, y[15], y[8], y[0]) -1*v_33(k, M, y[15], y[3], y[14], y[0]) -1*v_35(k, M, y[15], y[16], y[3], y[0]) +1*v_37(k, M, y[2], y[0], y[18], y[17]) +1*v_43(k, M, y[0], y[7], y[11]) +1*v_43(k, M, y[0], y[7], y[11]) +1*v_47(k, M, y[7], y[13], y[0]) +1*v_73(k, M, y[0], y[3], y[12], y[10]) +1*v_103(k, M, y[17], y[4], y[0], y[5]) +1*v_111(k, M, y[6], y[2], y[0], y[17]) -1*v_121(k, M, y[19], y[2], y[8], y[0]) -1*v_123(k, M, y[21], y[3], y[20], y[0]) -1*v_131(k, M, y[17], y[3], y[0], y[21]) +1*v_137(k, M, y[4], y[0], y[8], y[20]) -1*v_143(k, M, y[3], y[0], y[22], y[23]) -1*v_145(k, M, y[1], y[0], y[8], y[23]) +1*v_147(k, M, y[0], y[4], y[7], y[17]) +1*v_147(k, M, y[0], y[4], y[7], y[17]) +1*v_149(k, M, y[2], y[7], y[20], y[0]) -1*v_155(k, M, y[3], y[19], y[0], y[23]) -1*v_193(k, M, y[21], y[24], y[8], y[0]) +1*v_197(k, M, y[2], y[4], y[25], y[0]) -1*v_199(k, M, y[20], y[3], y[22], y[0]) -1*v_201(k, M, y[17], y[26], y[8], y[0]) +1*v_203(k, M, y[4], y[26], y[13], y[0]) +1*v_205(k, M, y[27], y[4], y[0], y[11]) -1*v_207(k, M, y[27], y[17], y[7], y[0]) +1*v_219(k, M, y[0], y[28], y[30], y[5]) +1*v_223(k, M, y[7], y[28], y[0], y[31]) -1*v_227(k, M, y[2], y[28], y[32], y[0]) -1*v_229(k, M, y[29], y[28], y[3], y[0]) -1*v_231(k, M, y[29], y[33], y[3], y[0]) +1*v_233(k, M, y[3], y[30], y[0], y[31]) +1*v_259(k, M, y[29], y[4], y[32], y[0]) +1*v_281(k, M, y[29], y[28], y[0], y[34]) +1*v_301(k, M, y[29], y[30], y[0], y[6]) +1*v_305(k, M, y[35], y[33], y[3], y[0]) +1*v_325(k, M, y[29], y[33], y[37], y[0]) -1*v_331(k, M, y[3], y[38], y[37], y[0]) -1*v_337(k, M, y[3], y[39], y[37], y[0]) -1*v_345(k, M, y[38], y[3], y[0], y[34]) +1*v_363(k, M, y[42], y[7], y[32], y[0]) -1*v_365(k, M, y[42], y[33], y[17], y[0]) +1*v_367(k, M, y[42], y[2], y[0], y[31]) +1*v_369(k, M, y[28], y[36], y[8], y[0]) -1*v_381(k, M, y[39], y[3], y[40], y[0]) -1*v_407(k, M, y[2], y[44], y[0], y[34]) +1*v_409(k, M, y[29], y[32], y[44], y[0]) +1*v_419(k, M, y[45], y[0], y[12], y[11]) -1*v_421(k, M, y[46], y[3], y[47], y[0]) -1*v_429(k, M, y[48], y[46], y[3], y[0]) -1*v_431(k, M, y[3], y[0], y[36], y[47]) +1*v_435(k, M, y[33], y[46], y[8], y[0]) -1*v_439(k, M, y[33], y[39], y[0]) +1*v_441(k, M, y[0], y[1], y[20], y[5]) +1*v_443(k, M, y[15], y[49], y[4], y[0]) -1*v_445(k, M, y[49], y[3], y[24], y[0]) +1*v_447(k, M, y[29], y[2], y[41], y[0]) -1*v_453(k, M, y[41], y[3], y[32], y[0]) -1*v_461(k, M, y[2], y[41], y[50], y[0]) -1*v_463(k, M, y[3], y[43], y[50], y[0]) -1*v_465(k, M, y[1], y[50], y[32], y[0]) +1*v_477(k, M, y[4], y[51], y[0], y[31]) +1*v_479(k, M, y[2], y[51], y[30], y[0]) -1*v_481(k, M, y[42], y[3], y[51], y[0]) +1*v_493(k, M, y[33], y[4], y[41], y[0]) -1*v_497(k, M, y[2], y[52], y[0]) -1*v_499(k, M, y[4], y[1], y[52], y[0]) -1*v_501(k, M, y[3], y[25], y[52], y[0]) -1*v_509(k, M, y[3], y[52], y[53], y[0]) -1*v_511(k, M, y[2], y[1], y[53], y[0]) -1*v_523(k, M, y[3], y[36], y[0], y[31]) +1*v_525(k, M, y[0], y[30], y[11], y[54]) +1*v_527(k, M, y[0], y[12], y[54], y[31]) -1*v_529(k, M, y[55], y[8], y[0], y[31]) -1*v_531(k, M, y[3], y[55], y[56], y[0]) +1*v_537(k, M, y[14], y[57], y[30], y[0]) +1*v_539(k, M, y[57], y[13], y[0], y[31]) +1*v_545(k, M, y[28], y[13], y[0], y[56]) +1*v_563(k, M, y[59], y[28], y[54], y[0]) +1*v_567(k, M, y[58], y[0], y[7], y[11]) +1*v_569(k, M, y[59], y[7], y[12], y[0]) +1*v_571(k, M, y[11], y[0], y[59], y[5]) +1*v_573(k, M, y[58], y[0], y[8], y[12]) +1*v_575(k, M, y[2], y[3], y[60], y[0]) +1*v_589(k, M, y[61], y[3], y[8], y[0]) +1*v_597(k, M, y[61], y[58], y[0], y[11]) +1*v_599(k, M, y[3], y[0], y[62], y[29]) -1*v_607(k, M, y[3], y[0]) -1*v_607(k, M, y[3], y[0]) -1*v_609(k, M, y[4], y[0], y[2]) -1*v_611(k, M, y[2], y[1], y[0]) -1*v_613(k, M, y[7], y[0], y[5]) -1*v_615(k, M, y[9], y[8], y[0]) -1*v_617(k, M, y[11], y[13], y[0]) -1*v_619(k, M, y[14], y[13], y[0]) -1*v_621(k, M, y[14], y[0], y[15]) -1*v_623(k, M, y[15], y[16], y[0]) +1*v_627(k, M, y[0], y[5], y[6]) -1*v_629(k, M, y[7], y[8], y[0]) -1*v_635(k, M, y[11], y[12], y[0]) +1*v_643(k, M, y[19], y[20], y[0]) -1*v_645(k, M, y[17], y[21], y[0]) +1*v_649(k, M, y[20], y[22], y[0]) -1*v_651(k, M, y[19], y[23], y[0]) -1*v_657(k, M, y[0], y[20], y[21]) -1*v_661(k, M, y[33], y[35], y[0]) -1*v_663(k, M, y[30], y[0], y[31]) +1*v_669(k, M, y[39], y[37], y[0]) -1*v_671(k, M, y[36], y[0], y[31]) +1*v_681(k, M, y[38], y[0], y[34]) -1*v_685(k, M, y[41], y[32], y[0]) -1*v_695(k, M, y[25], y[52], y[0]) -1*v_697(k, M, y[55], y[56], y[0]) -1*v_699(k, M, y[59], y[58], y[0]) +1*v_703(k, M, y[0], y[12], y[10]) +1*v_707(k, M, y[29], y[28], y[0]) +1*v_711(k, M, y[38], y[37], y[0]) +1*v_715(k, M, y[42], y[51], y[0]) +1*v_721(k, M, y[2], y[1], y[0]) +1*v_725(k, M, y[4], y[1], y[0]) +1*v_725(k, M, y[4], y[1], y[0]) +1*v_727(k, M, y[9], y[8], y[0]) +1*v_731(k, M, y[61], y[9], y[0]) +1*v_731(k, M, y[61], y[9], y[0]) +1*v_733(k, M, y[3], y[0], y[9], y[5]) +1*v_737(k, M, y[61], y[8], y[0]) +1*v_741(k, M, y[3], y[0]) +1*v_741(k, M, y[3], y[0]) +1*v_743(k, M, y[0], y[12], y[11]) +1*v_751(k, M, y[0], y[14], y[11]) +1*v_751(k, M, y[0], y[14], y[11]) +1*v_753(k, M, y[13], y[14], y[0]) +1*v_757(k, M, y[16], y[14], y[0]) +1*v_757(k, M, y[16], y[14], y[0]) +1*v_765(k, M, y[4], y[2], y[0]) +1*v_767(k, M, y[17], y[0], y[21]) +1*v_771(k, M, y[21], y[20], y[0]) +1*v_777(k, M, y[0], y[22], y[23]) +1*v_785(k, M, y[35], y[33], y[0]) +1*v_787(k, M, y[35], y[29], y[0]) +1*v_787(k, M, y[35], y[29], y[0]) +1*v_789(k, M, y[30], y[0], y[31]) +1*v_795(k, M, y[39], y[40], y[0]) +1*v_799(k, M, y[42], y[51], y[0]) +1*v_813(k, M, y[0], y[7], y[5])
- dydt[1] = -1*v_1(k, M, y[3], y[2], y[1], y[0]) -1*v_5(k, M, y[2], y[4], y[1]) +1*v_53(k, M, y[2], y[7], y[8], y[1]) -1*v_85(k, M, y[2], y[1], y[12], y[11]) +1*v_93(k, M, y[2], y[13], y[14], y[1]) +1*v_99(k, M, y[15], y[16], y[2], y[1]) +1*v_113(k, M, y[2], y[7], y[1], y[5]) +1*v_115(k, M, y[2], y[9], y[8], y[1]) +1*v_117(k, M, y[2], y[1], y[13], y[11]) +1*v_119(k, M, y[15], y[2], y[1], y[14]) +1*v_133(k, M, y[17], y[2], y[1], y[21]) +1*v_141(k, M, y[2], y[1], y[22], y[20]) +1*v_145(k, M, y[1], y[0], y[8], y[23]) +1*v_263(k, M, y[29], y[28], y[2], y[1]) +1*v_267(k, M, y[2], y[1], y[30], y[31]) +1*v_273(k, M, y[29], y[33], y[2], y[1]) +1*v_293(k, M, y[1], y[32], y[8], y[31]) +1*v_297(k, M, y[33], y[1], y[32], y[34]) -1*v_311(k, M, y[35], y[33], y[2], y[1]) +1*v_335(k, M, y[38], y[2], y[37], y[1]) +1*v_341(k, M, y[2], y[39], y[37], y[1]) +1*v_347(k, M, y[2], y[38], y[1], y[34]) +1*v_361(k, M, y[2], y[1], y[36], y[31]) +1*v_387(k, M, y[17], y[7], y[25], y[1]) +1*v_411(k, M, y[33], y[1], y[44], y[43]) +1*v_413(k, M, y[41], y[1], y[44]) -1*v_441(k, M, y[0], y[1], y[20], y[5]) +1*v_449(k, M, y[2], y[41], y[1], y[32]) +1*v_459(k, M, y[1], y[2], y[50], y[43]) +1*v_465(k, M, y[1], y[50], y[32], y[0]) +1*v_485(k, M, y[42], y[2], y[51], y[1]) +1*v_495(k, M, y[29], y[41], y[3], y[1]) +1*v_499(k, M, y[4], y[1], y[52], y[0]) +1*v_507(k, M, y[2], y[1], y[52], y[53]) +1*v_511(k, M, y[2], y[1], y[53], y[0]) +1*v_521(k, M, y[2], y[1], y[25], y[52]) +1*v_533(k, M, y[2], y[55], y[56], y[1]) -1*v_579(k, M, y[2], y[1], y[60]) -1*v_593(k, M, y[61], y[7], y[1]) +1*v_593(k, M, y[61], y[7], y[1]) -1*v_601(k, M, y[29], y[2], y[62], y[1]) +1*v_611(k, M, y[2], y[1], y[0]) -1*v_647(k, M, y[19], y[1], y[5]) -1*v_721(k, M, y[2], y[1], y[0]) -1*v_723(k, M, y[3], y[1], y[60]) -1*v_725(k, M, y[4], y[1], y[0])
- dydt[2] = +1*v_1(k, M, y[3], y[2], y[1], y[0]) +1*v_3(k, M, y[2], y[4], y[3], y[0]) +1*v_5(k, M, y[2], y[4], y[1]) +1*v_5(k, M, y[2], y[4], y[1]) -1*v_37(k, M, y[2], y[0], y[18], y[17]) -1*v_53(k, M, y[2], y[7], y[8], y[1]) -1*v_55(k, M, y[2], y[7], y[12], y[17]) -1*v_71(k, M, y[17], y[2], y[8], y[11]) -1*v_83(k, M, y[4], y[2], y[12], y[11]) +1*v_85(k, M, y[2], y[1], y[12], y[11]) -1*v_93(k, M, y[2], y[13], y[14], y[1]) -1*v_99(k, M, y[15], y[16], y[2], y[1]) +1*v_101(k, M, y[2], y[4], y[5], y[6]) +1*v_105(k, M, y[2], y[4], y[7], y[8]) -1*v_107(k, M, y[4], y[2], y[9], y[8]) +1*v_109(k, M, y[2], y[16], y[4], y[15]) -1*v_111(k, M, y[6], y[2], y[0], y[17]) -1*v_113(k, M, y[2], y[7], y[1], y[5]) -1*v_115(k, M, y[2], y[9], y[8], y[1]) -1*v_117(k, M, y[2], y[1], y[13], y[11]) -1*v_119(k, M, y[15], y[2], y[1], y[14]) +1*v_121(k, M, y[19], y[2], y[8], y[0]) -1*v_133(k, M, y[17], y[2], y[1], y[21]) +1*v_139(k, M, y[2], y[4], y[22], y[20]) -1*v_141(k, M, y[2], y[1], y[22], y[20]) -1*v_149(k, M, y[2], y[7], y[20], y[0]) +1*v_167(k, M, y[2], y[4], y[13], y[11]) +1*v_177(k, M, y[19], y[2], y[7], y[14]) -1*v_197(k, M, y[2], y[4], y[25], y[0]) +1*v_209(k, M, y[2], y[4], y[20], y[21]) +1*v_227(k, M, y[2], y[28], y[32], y[0]) +1*v_257(k, M, y[29], y[4], y[28], y[2]) +1*v_261(k, M, y[35], y[33], y[4], y[2]) -1*v_263(k, M, y[29], y[28], y[2], y[1]) -1*v_265(k, M, y[4], y[2], y[30], y[31]) -1*v_267(k, M, y[2], y[1], y[30], y[31]) -1*v_269(k, M, y[33], y[2], y[17], y[31]) -1*v_271(k, M, y[29], y[4], y[2], y[33]) -1*v_273(k, M, y[29], y[33], y[2], y[1]) +1*v_295(k, M, y[29], y[2], y[32], y[34]) +1*v_311(k, M, y[35], y[33], y[2], y[1]) -1*v_335(k, M, y[38], y[2], y[37], y[1]) +1*v_339(k, M, y[2], y[4], y[39], y[37]) -1*v_341(k, M, y[2], y[39], y[37], y[1]) -1*v_347(k, M, y[2], y[38], y[1], y[34]) +1*v_349(k, M, y[2], y[4], y[38], y[34]) +1*v_353(k, M, y[2], y[33], y[38], y[32]) +1*v_357(k, M, y[2], y[38], y[4], y[37]) -1*v_361(k, M, y[2], y[1], y[36], y[31]) -1*v_367(k, M, y[42], y[2], y[0], y[31]) +1*v_379(k, M, y[36], y[2], y[32], y[8]) +1*v_389(k, M, y[2], y[25], y[8], y[20]) +1*v_397(k, M, y[29], y[32], y[25], y[2]) +1*v_401(k, M, y[2], y[33], y[41], y[25]) +1*v_407(k, M, y[2], y[44], y[0], y[34]) -1*v_427(k, M, y[2], y[19], y[46], y[33]) -1*v_447(k, M, y[29], y[2], y[41], y[0]) -1*v_449(k, M, y[2], y[41], y[1], y[32]) +1*v_451(k, M, y[2], y[4], y[41], y[32]) -1*v_459(k, M, y[1], y[2], y[50], y[43]) +1*v_461(k, M, y[2], y[41], y[50], y[0]) -1*v_479(k, M, y[2], y[51], y[30], y[0]) +1*v_483(k, M, y[42], y[4], y[51], y[2]) -1*v_485(k, M, y[42], y[2], y[51], y[1]) +1*v_497(k, M, y[2], y[52], y[0]) +1*v_497(k, M, y[2], y[52], y[0]) +1*v_503(k, M, y[2], y[18], y[52], y[17]) +1*v_505(k, M, y[2], y[4], y[52], y[53]) -1*v_507(k, M, y[2], y[1], y[52], y[53]) +1*v_511(k, M, y[2], y[1], y[53], y[0]) +1*v_513(k, M, y[2], y[4], y[25], y[52]) -1*v_521(k, M, y[2], y[1], y[25], y[52]) -1*v_533(k, M, y[2], y[55], y[56], y[1]) +1*v_535(k, M, y[2], y[4], y[55], y[56]) -1*v_557(k, M, y[58], y[2], y[13], y[21]) +1*v_559(k, M, y[19], y[2], y[58], y[12]) +1*v_575(k, M, y[2], y[3], y[60], y[0]) +1*v_577(k, M, y[2], y[9], y[60], y[8]) +1*v_579(k, M, y[2], y[1], y[60]) +1*v_579(k, M, y[2], y[1], y[60]) +1*v_583(k, M, y[35], y[33], y[2], y[60]) +1*v_601(k, M, y[29], y[2], y[62], y[1]) +1*v_609(k, M, y[4], y[0], y[2]) -1*v_611(k, M, y[2], y[1], y[0]) -1*v_653(k, M, y[2], y[24], y[11]) -1*v_687(k, M, y[2], y[50], y[32]) -1*v_693(k, M, y[2], y[53]) -1*v_693(k, M, y[2], y[53]) -1*v_719(k, M, y[2], y[8], y[23]) +1*v_721(k, M, y[2], y[1], y[0]) -1*v_765(k, M, y[4], y[2], y[0]) +1*v_773(k, M, y[2], y[8], y[23]) +1*v_801(k, M, y[2], y[4], y[52])
- dydt[3] = +1*v_1(k, M, y[3], y[2], y[1], y[0]) -1*v_3(k, M, y[2], y[4], y[3], y[0]) +1*v_7(k, M, y[6], y[3], y[0], y[5]) +1*v_9(k, M, y[3], y[7], y[0], y[5]) -1*v_11(k, M, y[3], y[7], y[8], y[0]) +1*v_13(k, M, y[3], y[9], y[8], y[0]) -1*v_19(k, M, y[11], y[3], y[12], y[0]) +1*v_23(k, M, y[11], y[3], y[13], y[0]) -1*v_25(k, M, y[14], y[3], y[13], y[0]) +1*v_33(k, M, y[15], y[3], y[14], y[0]) +1*v_35(k, M, y[15], y[16], y[3], y[0]) +1*v_39(k, M, y[11], y[3], y[8], y[5]) -1*v_73(k, M, y[0], y[3], y[12], y[10]) +1*v_123(k, M, y[21], y[3], y[20], y[0]) +1*v_131(k, M, y[17], y[3], y[0], y[21]) +1*v_143(k, M, y[3], y[0], y[22], y[23]) +1*v_155(k, M, y[3], y[19], y[0], y[23]) +1*v_173(k, M, y[3], y[4], y[7], y[17]) +1*v_199(k, M, y[20], y[3], y[22], y[0]) +1*v_229(k, M, y[29], y[28], y[3], y[0]) +1*v_231(k, M, y[29], y[33], y[3], y[0]) -1*v_233(k, M, y[3], y[30], y[0], y[31]) +1*v_303(k, M, y[29], y[3], y[34]) -1*v_305(k, M, y[35], y[33], y[3], y[0]) +1*v_309(k, M, y[33], y[4], y[3], y[32]) +1*v_331(k, M, y[3], y[38], y[37], y[0]) +1*v_337(k, M, y[3], y[39], y[37], y[0]) +1*v_345(k, M, y[38], y[3], y[0], y[34]) +1*v_371(k, M, y[3], y[28], y[8], y[31]) +1*v_377(k, M, y[3], y[33], y[37]) +1*v_381(k, M, y[39], y[3], y[40], y[0]) +1*v_421(k, M, y[46], y[3], y[47], y[0]) +1*v_429(k, M, y[48], y[46], y[3], y[0]) +1*v_431(k, M, y[3], y[0], y[36], y[47]) +1*v_433(k, M, y[33], y[3], y[8], y[47]) +1*v_445(k, M, y[49], y[3], y[24], y[0]) +1*v_453(k, M, y[41], y[3], y[32], y[0]) +1*v_463(k, M, y[3], y[43], y[50], y[0]) +1*v_481(k, M, y[42], y[3], y[51], y[0]) -1*v_495(k, M, y[29], y[41], y[3], y[1]) +1*v_501(k, M, y[3], y[25], y[52], y[0]) +1*v_509(k, M, y[3], y[52], y[53], y[0]) +1*v_523(k, M, y[3], y[36], y[0], y[31]) +1*v_531(k, M, y[3], y[55], y[56], y[0]) +1*v_551(k, M, y[35], y[38], y[28], y[3]) +1*v_561(k, M, y[3], y[58], y[28], y[54]) +1*v_565(k, M, y[59], y[3], y[7], y[11]) -1*v_575(k, M, y[2], y[3], y[60], y[0]) -1*v_589(k, M, y[61], y[3], y[8], y[0]) -1*v_591(k, M, y[61], y[7], y[3]) +1*v_591(k, M, y[61], y[7], y[3]) -1*v_599(k, M, y[3], y[0], y[62], y[29]) +1*v_607(k, M, y[3], y[0]) -1*v_625(k, M, y[6], y[7], y[3]) -1*v_631(k, M, y[3], y[8], y[5]) +1*v_637(k, M, y[3], y[14], y[11]) +1*v_639(k, M, y[16], y[3], y[14]) -1*v_659(k, M, y[3], y[20], y[17]) -1*v_665(k, M, y[28], y[3], y[33]) +1*v_723(k, M, y[3], y[1], y[60]) +1*v_729(k, M, y[61], y[3], y[9]) +1*v_733(k, M, y[3], y[0], y[9], y[5]) +1*v_735(k, M, y[3], y[8], y[5]) -1*v_741(k, M, y[3], y[0]) +1*v_749(k, M, y[3], y[14], y[11]) +1*v_755(k, M, y[16], y[3], y[14]) +1*v_759(k, M, y[16], y[3], y[11]) +1*v_759(k, M, y[16], y[3], y[11]) +1*v_769(k, M, y[3], y[20], y[17]) +1*v_775(k, M, y[3], y[20], y[23])
- dydt[4] = -1*v_3(k, M, y[2], y[4], y[3], y[0]) -1*v_5(k, M, y[2], y[4], y[1]) -1*v_41(k, M, y[6], y[17], y[4], y[10]) -1*v_57(k, M, y[17], y[4], y[7], y[11]) -1*v_81(k, M, y[17], y[4], y[12], y[5]) +1*v_83(k, M, y[4], y[2], y[12], y[11]) -1*v_101(k, M, y[2], y[4], y[5], y[6]) -1*v_103(k, M, y[17], y[4], y[0], y[5]) -1*v_105(k, M, y[2], y[4], y[7], y[8]) +1*v_107(k, M, y[4], y[2], y[9], y[8]) -1*v_109(k, M, y[2], y[16], y[4], y[15]) -1*v_125(k, M, y[4], y[8], y[14], y[21]) -1*v_137(k, M, y[4], y[0], y[8], y[20]) -1*v_139(k, M, y[2], y[4], y[22], y[20]) -1*v_147(k, M, y[0], y[4], y[7], y[17]) -1*v_167(k, M, y[2], y[4], y[13], y[11]) -1*v_173(k, M, y[3], y[4], y[7], y[17]) -1*v_197(k, M, y[2], y[4], y[25], y[0]) -1*v_203(k, M, y[4], y[26], y[13], y[0]) -1*v_205(k, M, y[27], y[4], y[0], y[11]) -1*v_209(k, M, y[2], y[4], y[20], y[21]) -1*v_257(k, M, y[29], y[4], y[28], y[2]) -1*v_259(k, M, y[29], y[4], y[32], y[0]) -1*v_261(k, M, y[35], y[33], y[4], y[2]) +1*v_265(k, M, y[4], y[2], y[30], y[31]) +1*v_271(k, M, y[29], y[4], y[2], y[33]) -1*v_275(k, M, y[4], y[28], y[30], y[17]) +1*v_279(k, M, y[4], y[28], y[32], y[34]) +1*v_287(k, M, y[6], y[4], y[32], y[30]) +1*v_289(k, M, y[4], y[32], y[5], y[31]) -1*v_309(k, M, y[33], y[4], y[3], y[32]) -1*v_323(k, M, y[29], y[4], y[17], y[31]) -1*v_339(k, M, y[2], y[4], y[39], y[37]) -1*v_349(k, M, y[2], y[4], y[38], y[34]) -1*v_357(k, M, y[2], y[38], y[4], y[37]) -1*v_375(k, M, y[29], y[4], y[38], y[32]) -1*v_383(k, M, y[4], y[8], y[25], y[22]) +1*v_385(k, M, y[6], y[4], y[25], y[17]) +1*v_395(k, M, y[4], y[32], y[28], y[25]) +1*v_399(k, M, y[29], y[4], y[41], y[25]) -1*v_403(k, M, y[25], y[4], y[32], y[43]) -1*v_405(k, M, y[25], y[4], y[44], y[34]) -1*v_443(k, M, y[15], y[49], y[4], y[0]) -1*v_451(k, M, y[2], y[4], y[41], y[32]) -1*v_477(k, M, y[4], y[51], y[0], y[31]) -1*v_483(k, M, y[42], y[4], y[51], y[2]) -1*v_493(k, M, y[33], y[4], y[41], y[0]) +1*v_499(k, M, y[4], y[1], y[52], y[0]) -1*v_505(k, M, y[2], y[4], y[52], y[53]) -1*v_513(k, M, y[2], y[4], y[25], y[52]) -1*v_535(k, M, y[2], y[4], y[55], y[56]) +1*v_581(k, M, y[4], y[18], y[60]) -1*v_609(k, M, y[4], y[0], y[2]) -1*v_641(k, M, y[4], y[18], y[17]) -1*v_677(k, M, y[4], y[32], y[43]) +1*v_679(k, M, y[4], y[44], y[34]) -1*v_705(k, M, y[6], y[17], y[4]) -1*v_709(k, M, y[4], y[28], y[32]) -1*v_713(k, M, y[4], y[25]) -1*v_713(k, M, y[4], y[25]) +1*v_725(k, M, y[4], y[1], y[0]) +1*v_739(k, M, y[6], y[4], y[17]) +1*v_745(k, M, y[4], y[18], y[17]) +1*v_765(k, M, y[4], y[2], y[0]) +1*v_791(k, M, y[4], y[28], y[32]) +1*v_793(k, M, y[4], y[32], y[43]) +1*v_801(k, M, y[2], y[4], y[52]) +1*v_803(k, M, y[4], y[25]) +1*v_803(k, M, y[4], y[25]) +1*v_805(k, M, y[4], y[25], y[60])
- dydt[5] = -1*v_7(k, M, y[6], y[3], y[0], y[5]) +1*v_9(k, M, y[3], y[7], y[0], y[5]) -1*v_15(k, M, y[6], y[0], y[10], y[5]) -1*v_21(k, M, y[11], y[0], y[7], y[5]) -1*v_27(k, M, y[0], y[9], y[14], y[5]) -1*v_39(k, M, y[11], y[3], y[8], y[5]) +1*v_45(k, M, y[7], y[8], y[5]) +1*v_77(k, M, y[11], y[7], y[12], y[5]) +1*v_81(k, M, y[17], y[4], y[12], y[5]) -1*v_101(k, M, y[2], y[4], y[5], y[6]) -1*v_103(k, M, y[17], y[4], y[0], y[5]) +1*v_113(k, M, y[2], y[7], y[1], y[5]) -1*v_135(k, M, y[17], y[21], y[18], y[5]) -1*v_169(k, M, y[11], y[8], y[14], y[5]) -1*v_217(k, M, y[29], y[28], y[5], y[6]) -1*v_219(k, M, y[0], y[28], y[30], y[5]) +1*v_221(k, M, y[29], y[7], y[28], y[5]) +1*v_235(k, M, y[7], y[30], y[5], y[31]) -1*v_289(k, M, y[4], y[32], y[5], y[31]) -1*v_291(k, M, y[17], y[29], y[32], y[5]) -1*v_315(k, M, y[35], y[33], y[7], y[5]) -1*v_441(k, M, y[0], y[1], y[20], y[5]) -1*v_571(k, M, y[11], y[0], y[59], y[5]) -1*v_613(k, M, y[7], y[0], y[5]) -1*v_627(k, M, y[0], y[5], y[6]) -1*v_631(k, M, y[3], y[8], y[5]) -1*v_647(k, M, y[19], y[1], y[5]) +1*v_733(k, M, y[3], y[0], y[9], y[5]) +1*v_735(k, M, y[3], y[8], y[5]) +1*v_813(k, M, y[0], y[7], y[5])
- dydt[6] = +1*v_7(k, M, y[6], y[3], y[0], y[5]) -1*v_15(k, M, y[6], y[0], y[10], y[5]) -1*v_17(k, M, y[6], y[11], y[8], y[0]) +1*v_41(k, M, y[6], y[17], y[4], y[10]) +1*v_101(k, M, y[2], y[4], y[5], y[6]) -1*v_111(k, M, y[6], y[2], y[0], y[17]) +1*v_217(k, M, y[29], y[28], y[5], y[6]) +1*v_225(k, M, y[6], y[28], y[30], y[10]) +1*v_283(k, M, y[6], y[28], y[30], y[34]) -1*v_287(k, M, y[6], y[4], y[32], y[30]) -1*v_301(k, M, y[29], y[30], y[0], y[6]) -1*v_385(k, M, y[6], y[4], y[25], y[17]) -1*v_625(k, M, y[6], y[7], y[3]) +1*v_627(k, M, y[0], y[5], y[6]) -1*v_689(k, M, y[6], y[10]) -1*v_689(k, M, y[6], y[10]) -1*v_705(k, M, y[6], y[17], y[4]) +1*v_739(k, M, y[6], y[4], y[17])
- dydt[7] = -1*v_9(k, M, y[3], y[7], y[0], y[5]) -1*v_11(k, M, y[3], y[7], y[8], y[0]) -1*v_21(k, M, y[11], y[0], y[7], y[5]) -1*v_29(k, M, y[14], y[7], y[8], y[0]) -1*v_43(k, M, y[0], y[7], y[11]) -1*v_43(k, M, y[0], y[7], y[11]) -1*v_45(k, M, y[7], y[8], y[5]) -1*v_45(k, M, y[7], y[8], y[5]) -1*v_47(k, M, y[7], y[13], y[0]) -1*v_47(k, M, y[7], y[13], y[0]) -1*v_49(k, M, y[7], y[8], y[9]) -1*v_51(k, M, y[15], y[14], y[7], y[8]) +1*v_53(k, M, y[2], y[7], y[8], y[1]) +1*v_55(k, M, y[2], y[7], y[12], y[17]) +1*v_57(k, M, y[17], y[4], y[7], y[11]) +1*v_59(k, M, y[11], y[7], y[8], y[12]) -1*v_77(k, M, y[11], y[7], y[12], y[5]) +1*v_105(k, M, y[2], y[4], y[7], y[8]) -1*v_113(k, M, y[2], y[7], y[1], y[5]) -1*v_147(k, M, y[0], y[4], y[7], y[17]) -1*v_149(k, M, y[2], y[7], y[20], y[0]) -1*v_151(k, M, y[20], y[7], y[18], y[17]) -1*v_171(k, M, y[7], y[13], y[11], y[8]) -1*v_173(k, M, y[3], y[4], y[7], y[17]) -1*v_175(k, M, y[17], y[7], y[8], y[21]) -1*v_177(k, M, y[19], y[2], y[7], y[14]) -1*v_179(k, M, y[19], y[7], y[20], y[8]) -1*v_181(k, M, y[20], y[7], y[22], y[8]) -1*v_183(k, M, y[7], y[22], y[23], y[8]) -1*v_185(k, M, y[19], y[7], y[8], y[23]) +1*v_207(k, M, y[27], y[17], y[7], y[0]) -1*v_221(k, M, y[29], y[7], y[28], y[5]) -1*v_223(k, M, y[7], y[28], y[0], y[31]) -1*v_235(k, M, y[7], y[30], y[5], y[31]) +1*v_241(k, M, y[30], y[7], y[8], y[31]) -1*v_285(k, M, y[29], y[31], y[7], y[34]) +1*v_315(k, M, y[35], y[33], y[7], y[5]) -1*v_363(k, M, y[42], y[7], y[32], y[0]) +1*v_373(k, M, y[35], y[33], y[7], y[8]) -1*v_387(k, M, y[17], y[7], y[25], y[1]) -1*v_565(k, M, y[59], y[3], y[7], y[11]) -1*v_567(k, M, y[58], y[0], y[7], y[11]) -1*v_569(k, M, y[59], y[7], y[12], y[0]) +1*v_591(k, M, y[61], y[7], y[3]) +1*v_593(k, M, y[61], y[7], y[1]) +1*v_595(k, M, y[61], y[7], y[17]) +1*v_613(k, M, y[7], y[0], y[5]) +1*v_625(k, M, y[6], y[7], y[3]) -1*v_629(k, M, y[7], y[8], y[0]) -1*v_813(k, M, y[0], y[7], y[5])
- dydt[8] = +1*v_11(k, M, y[3], y[7], y[8], y[0]) +1*v_13(k, M, y[3], y[9], y[8], y[0]) -1*v_17(k, M, y[6], y[11], y[8], y[0]) -1*v_29(k, M, y[14], y[7], y[8], y[0]) +1*v_31(k, M, y[15], y[8], y[0]) +1*v_31(k, M, y[15], y[8], y[0]) -1*v_39(k, M, y[11], y[3], y[8], y[5]) +1*v_45(k, M, y[7], y[8], y[5]) +1*v_49(k, M, y[7], y[8], y[9]) +1*v_49(k, M, y[7], y[8], y[9]) +1*v_51(k, M, y[15], y[14], y[7], y[8]) -1*v_53(k, M, y[2], y[7], y[8], y[1]) -1*v_59(k, M, y[11], y[7], y[8], y[12]) +1*v_61(k, M, y[11], y[9], y[12], y[8]) -1*v_63(k, M, y[11], y[13], y[8], y[9]) +1*v_65(k, M, y[14], y[9], y[13], y[8]) -1*v_67(k, M, y[15], y[14], y[9], y[8]) -1*v_69(k, M, y[15], y[16], y[9], y[8]) +1*v_71(k, M, y[17], y[2], y[8], y[11]) +1*v_75(k, M, y[12], y[9], y[8], y[10]) -1*v_105(k, M, y[2], y[4], y[7], y[8]) -1*v_107(k, M, y[4], y[2], y[9], y[8]) +1*v_115(k, M, y[2], y[9], y[8], y[1]) +1*v_121(k, M, y[19], y[2], y[8], y[0]) +1*v_125(k, M, y[4], y[8], y[14], y[21]) -1*v_127(k, M, y[21], y[8], y[20], y[9]) -1*v_129(k, M, y[19], y[20], y[9], y[8]) -1*v_137(k, M, y[4], y[0], y[8], y[20]) +1*v_145(k, M, y[1], y[0], y[8], y[23]) +1*v_153(k, M, y[8], y[18], y[22], y[17]) +1*v_169(k, M, y[11], y[8], y[14], y[5]) +1*v_171(k, M, y[7], y[13], y[11], y[8]) +1*v_175(k, M, y[17], y[7], y[8], y[21]) +1*v_179(k, M, y[19], y[7], y[20], y[8]) +1*v_181(k, M, y[20], y[7], y[22], y[8]) +1*v_183(k, M, y[7], y[22], y[23], y[8]) +1*v_185(k, M, y[19], y[7], y[8], y[23]) -1*v_187(k, M, y[17], y[9], y[8], y[21]) -1*v_189(k, M, y[20], y[8], y[22], y[9]) -1*v_191(k, M, y[22], y[9], y[8], y[23]) +1*v_193(k, M, y[21], y[24], y[8], y[0]) -1*v_195(k, M, y[16], y[24], y[8], y[17]) +1*v_201(k, M, y[17], y[26], y[8], y[0]) -1*v_237(k, M, y[29], y[28], y[9], y[8]) -1*v_239(k, M, y[29], y[33], y[9], y[8]) -1*v_241(k, M, y[30], y[7], y[8], y[31]) +1*v_243(k, M, y[9], y[30], y[8], y[31]) -1*v_293(k, M, y[1], y[32], y[8], y[31]) +1*v_307(k, M, y[35], y[33], y[9], y[8]) -1*v_333(k, M, y[38], y[37], y[8], y[9]) -1*v_369(k, M, y[28], y[36], y[8], y[0]) -1*v_371(k, M, y[3], y[28], y[8], y[31]) -1*v_373(k, M, y[35], y[33], y[7], y[8]) -1*v_379(k, M, y[36], y[2], y[32], y[8]) +1*v_383(k, M, y[4], y[8], y[25], y[22]) -1*v_389(k, M, y[2], y[25], y[8], y[20]) -1*v_415(k, M, y[22], y[32], y[8], y[43]) -1*v_425(k, M, y[15], y[33], y[46], y[8]) -1*v_433(k, M, y[33], y[3], y[8], y[47]) -1*v_435(k, M, y[33], y[46], y[8], y[0]) -1*v_437(k, M, y[48], y[46], y[9], y[8]) +1*v_515(k, M, y[9], y[25], y[8], y[52]) +1*v_529(k, M, y[55], y[8], y[0], y[31]) +1*v_547(k, M, y[53], y[9], y[52], y[8]) +1*v_553(k, M, y[15], y[58], y[8], y[12]) +1*v_555(k, M, y[58], y[8], y[13]) -1*v_573(k, M, y[58], y[0], y[8], y[12]) +1*v_577(k, M, y[2], y[9], y[60], y[8]) +1*v_589(k, M, y[61], y[3], y[8], y[0]) -1*v_615(k, M, y[9], y[8], y[0]) +1*v_629(k, M, y[7], y[8], y[0]) +1*v_631(k, M, y[3], y[8], y[5]) -1*v_633(k, M, y[16], y[8]) -1*v_633(k, M, y[16], y[8]) -1*v_655(k, M, y[24], y[8], y[17]) -1*v_683(k, M, y[33], y[8], y[48]) -1*v_719(k, M, y[2], y[8], y[23]) +1*v_727(k, M, y[9], y[8], y[0]) -1*v_735(k, M, y[3], y[8], y[5]) -1*v_737(k, M, y[61], y[8], y[0]) +1*v_763(k, M, y[16], y[8]) +1*v_763(k, M, y[16], y[8]) +1*v_773(k, M, y[2], y[8], y[23]) +1*v_781(k, M, y[49], y[8], y[21])
- dydt[9] = -1*v_13(k, M, y[3], y[9], y[8], y[0]) -1*v_27(k, M, y[0], y[9], y[14], y[5]) -1*v_49(k, M, y[7], y[8], y[9]) -1*v_61(k, M, y[11], y[9], y[12], y[8]) +1*v_63(k, M, y[11], y[13], y[8], y[9]) -1*v_65(k, M, y[14], y[9], y[13], y[8]) +1*v_67(k, M, y[15], y[14], y[9], y[8]) +1*v_69(k, M, y[15], y[16], y[9], y[8]) -1*v_75(k, M, y[12], y[9], y[8], y[10]) +1*v_107(k, M, y[4], y[2], y[9], y[8]) -1*v_115(k, M, y[2], y[9], y[8], y[1]) +1*v_127(k, M, y[21], y[8], y[20], y[9]) +1*v_129(k, M, y[19], y[20], y[9], y[8]) +1*v_187(k, M, y[17], y[9], y[8], y[21]) +1*v_189(k, M, y[20], y[8], y[22], y[9]) +1*v_191(k, M, y[22], y[9], y[8], y[23]) +1*v_237(k, M, y[29], y[28], y[9], y[8]) +1*v_239(k, M, y[29], y[33], y[9], y[8]) -1*v_243(k, M, y[9], y[30], y[8], y[31]) -1*v_307(k, M, y[35], y[33], y[9], y[8]) +1*v_333(k, M, y[38], y[37], y[8], y[9]) +1*v_437(k, M, y[48], y[46], y[9], y[8]) -1*v_515(k, M, y[9], y[25], y[8], y[52]) -1*v_547(k, M, y[53], y[9], y[52], y[8]) -1*v_577(k, M, y[2], y[9], y[60], y[8]) +1*v_615(k, M, y[9], y[8], y[0]) -1*v_727(k, M, y[9], y[8], y[0]) -1*v_729(k, M, y[61], y[3], y[9]) -1*v_731(k, M, y[61], y[9], y[0]) -1*v_733(k, M, y[3], y[0], y[9], y[5]) +1*v_761(k, M, y[61], y[16], y[9]) +1*v_779(k, M, y[49], y[9], y[17])
- dydt[10] = +1*v_15(k, M, y[6], y[0], y[10], y[5]) -1*v_41(k, M, y[6], y[17], y[4], y[10]) -1*v_73(k, M, y[0], y[3], y[12], y[10]) -1*v_75(k, M, y[12], y[9], y[8], y[10]) -1*v_225(k, M, y[6], y[28], y[30], y[10]) -1*v_245(k, M, y[30], y[10], y[34]) -1*v_541(k, M, y[45], y[57], y[10], y[31]) -1*v_543(k, M, y[11], y[57], y[54], y[10]) +1*v_689(k, M, y[6], y[10]) +1*v_703(k, M, y[0], y[12], y[10]) +1*v_811(k, M, y[45], y[10], y[11])
- dydt[11] = +1*v_17(k, M, y[6], y[11], y[8], y[0]) +1*v_19(k, M, y[11], y[3], y[12], y[0]) +1*v_21(k, M, y[11], y[0], y[7], y[5]) +1*v_23(k, M, y[11], y[3], y[13], y[0]) +1*v_39(k, M, y[11], y[3], y[8], y[5]) +1*v_43(k, M, y[0], y[7], y[11]) -1*v_57(k, M, y[17], y[4], y[7], y[11]) +1*v_59(k, M, y[11], y[7], y[8], y[12]) +1*v_61(k, M, y[11], y[9], y[12], y[8]) +1*v_63(k, M, y[11], y[13], y[8], y[9]) -1*v_71(k, M, y[17], y[2], y[8], y[11]) +1*v_77(k, M, y[11], y[7], y[12], y[5]) +1*v_79(k, M, y[15], y[16], y[12], y[11]) +1*v_83(k, M, y[4], y[2], y[12], y[11]) +1*v_85(k, M, y[2], y[1], y[12], y[11]) +1*v_87(k, M, y[14], y[13], y[11]) +1*v_91(k, M, y[15], y[16], y[13], y[11]) +1*v_117(k, M, y[2], y[1], y[13], y[11]) +1*v_157(k, M, y[11], y[17], y[12], y[21]) +1*v_159(k, M, y[19], y[20], y[12], y[11]) +1*v_161(k, M, y[11], y[20], y[22], y[12]) +1*v_163(k, M, y[11], y[19], y[12], y[23]) +1*v_165(k, M, y[22], y[11], y[12], y[23]) +1*v_167(k, M, y[2], y[4], y[13], y[11]) +1*v_169(k, M, y[11], y[8], y[14], y[5]) +1*v_171(k, M, y[7], y[13], y[11], y[8]) -1*v_205(k, M, y[27], y[4], y[0], y[11]) +1*v_247(k, M, y[29], y[33], y[12], y[11]) +1*v_249(k, M, y[35], y[33], y[13], y[11]) -1*v_419(k, M, y[45], y[0], y[12], y[11]) -1*v_525(k, M, y[0], y[30], y[11], y[54]) +1*v_543(k, M, y[11], y[57], y[54], y[10]) -1*v_565(k, M, y[59], y[3], y[7], y[11]) -1*v_567(k, M, y[58], y[0], y[7], y[11]) -1*v_571(k, M, y[11], y[0], y[59], y[5]) -1*v_597(k, M, y[61], y[58], y[0], y[11]) -1*v_617(k, M, y[11], y[13], y[0]) +1*v_635(k, M, y[11], y[12], y[0]) +1*v_637(k, M, y[3], y[14], y[11]) -1*v_653(k, M, y[2], y[24], y[11]) -1*v_743(k, M, y[0], y[12], y[11]) +1*v_749(k, M, y[3], y[14], y[11]) +1*v_751(k, M, y[0], y[14], y[11]) +1*v_759(k, M, y[16], y[3], y[11]) +1*v_809(k, M, y[64], y[11]) +1*v_809(k, M, y[64], y[11]) +1*v_809(k, M, y[64], y[11]) +1*v_811(k, M, y[45], y[10], y[11])
- dydt[12] = -1*v_19(k, M, y[11], y[3], y[12], y[0]) -1*v_55(k, M, y[2], y[7], y[12], y[17]) -1*v_59(k, M, y[11], y[7], y[8], y[12]) -1*v_61(k, M, y[11], y[9], y[12], y[8]) +1*v_73(k, M, y[0], y[3], y[12], y[10]) +1*v_75(k, M, y[12], y[9], y[8], y[10]) -1*v_77(k, M, y[11], y[7], y[12], y[5]) -1*v_79(k, M, y[15], y[16], y[12], y[11]) -1*v_81(k, M, y[17], y[4], y[12], y[5]) -1*v_83(k, M, y[4], y[2], y[12], y[11]) -1*v_85(k, M, y[2], y[1], y[12], y[11]) -1*v_157(k, M, y[11], y[17], y[12], y[21]) -1*v_159(k, M, y[19], y[20], y[12], y[11]) -1*v_161(k, M, y[11], y[20], y[22], y[12]) -1*v_163(k, M, y[11], y[19], y[12], y[23]) -1*v_165(k, M, y[22], y[11], y[12], y[23]) -1*v_247(k, M, y[29], y[33], y[12], y[11]) -1*v_391(k, M, y[21], y[25], y[12], y[17]) -1*v_419(k, M, y[45], y[0], y[12], y[11]) -1*v_527(k, M, y[0], y[12], y[54], y[31]) -1*v_553(k, M, y[15], y[58], y[8], y[12]) -1*v_559(k, M, y[19], y[2], y[58], y[12]) -1*v_569(k, M, y[59], y[7], y[12], y[0]) -1*v_573(k, M, y[58], y[0], y[8], y[12]) -1*v_635(k, M, y[11], y[12], y[0]) -1*v_703(k, M, y[0], y[12], y[10]) +1*v_743(k, M, y[0], y[12], y[11])
- dydt[13] = -1*v_23(k, M, y[11], y[3], y[13], y[0]) -1*v_25(k, M, y[14], y[3], y[13], y[0]) +1*v_47(k, M, y[7], y[13], y[0]) -1*v_63(k, M, y[11], y[13], y[8], y[9]) -1*v_65(k, M, y[14], y[9], y[13], y[8]) -1*v_87(k, M, y[14], y[13], y[11]) -1*v_87(k, M, y[14], y[13], y[11]) -1*v_89(k, M, y[15], y[14], y[13]) -1*v_91(k, M, y[15], y[16], y[13], y[11]) +1*v_93(k, M, y[2], y[13], y[14], y[1]) +1*v_97(k, M, y[15], y[16], y[13], y[14]) -1*v_117(k, M, y[2], y[1], y[13], y[11]) -1*v_167(k, M, y[2], y[4], y[13], y[11]) -1*v_171(k, M, y[7], y[13], y[11], y[8]) -1*v_203(k, M, y[4], y[26], y[13], y[0]) -1*v_249(k, M, y[35], y[33], y[13], y[11]) +1*v_251(k, M, y[35], y[33], y[13], y[14]) -1*v_393(k, M, y[20], y[25], y[13], y[21]) -1*v_539(k, M, y[57], y[13], y[0], y[31]) -1*v_545(k, M, y[28], y[13], y[0], y[56]) -1*v_555(k, M, y[58], y[8], y[13]) -1*v_555(k, M, y[58], y[8], y[13]) +1*v_557(k, M, y[58], y[2], y[13], y[21]) +1*v_617(k, M, y[11], y[13], y[0]) -1*v_619(k, M, y[14], y[13], y[0]) +1*v_753(k, M, y[13], y[14], y[0])
- dydt[14] = +1*v_25(k, M, y[14], y[3], y[13], y[0]) +1*v_27(k, M, y[0], y[9], y[14], y[5]) +1*v_29(k, M, y[14], y[7], y[8], y[0]) +1*v_33(k, M, y[15], y[3], y[14], y[0]) +1*v_51(k, M, y[15], y[14], y[7], y[8]) +1*v_65(k, M, y[14], y[9], y[13], y[8]) +1*v_67(k, M, y[15], y[14], y[9], y[8]) +1*v_87(k, M, y[14], y[13], y[11]) +1*v_89(k, M, y[15], y[14], y[13]) +1*v_89(k, M, y[15], y[14], y[13]) -1*v_93(k, M, y[2], y[13], y[14], y[1]) +1*v_95(k, M, y[15], y[16], y[14]) -1*v_97(k, M, y[15], y[16], y[13], y[14]) +1*v_119(k, M, y[15], y[2], y[1], y[14]) -1*v_125(k, M, y[4], y[8], y[14], y[21]) -1*v_169(k, M, y[11], y[8], y[14], y[5]) +1*v_177(k, M, y[19], y[2], y[7], y[14]) -1*v_251(k, M, y[35], y[33], y[13], y[14]) +1*v_253(k, M, y[15], y[33], y[35], y[14]) -1*v_537(k, M, y[14], y[57], y[30], y[0]) +1*v_619(k, M, y[14], y[13], y[0]) -1*v_621(k, M, y[14], y[0], y[15]) -1*v_637(k, M, y[3], y[14], y[11]) +1*v_639(k, M, y[16], y[3], y[14]) -1*v_749(k, M, y[3], y[14], y[11]) -1*v_751(k, M, y[0], y[14], y[11]) -1*v_753(k, M, y[13], y[14], y[0]) +1*v_755(k, M, y[16], y[3], y[14]) +1*v_757(k, M, y[16], y[14], y[0])
- dydt[15] = -1*v_31(k, M, y[15], y[8], y[0]) -1*v_33(k, M, y[15], y[3], y[14], y[0]) +1*v_35(k, M, y[15], y[16], y[3], y[0]) -1*v_51(k, M, y[15], y[14], y[7], y[8]) -1*v_67(k, M, y[15], y[14], y[9], y[8]) +1*v_69(k, M, y[15], y[16], y[9], y[8]) +1*v_79(k, M, y[15], y[16], y[12], y[11]) -1*v_89(k, M, y[15], y[14], y[13]) -1*v_91(k, M, y[15], y[16], y[13], y[11]) -1*v_95(k, M, y[15], y[16], y[14]) -1*v_95(k, M, y[15], y[16], y[14]) -1*v_97(k, M, y[15], y[16], y[13], y[14]) +1*v_99(k, M, y[15], y[16], y[2], y[1]) +1*v_109(k, M, y[2], y[16], y[4], y[15]) -1*v_119(k, M, y[15], y[2], y[1], y[14]) -1*v_253(k, M, y[15], y[33], y[35], y[14]) +1*v_255(k, M, y[35], y[33], y[16], y[15]) +1*v_321(k, M, y[15], y[16], y[30], y[31]) +1*v_425(k, M, y[15], y[33], y[46], y[8]) -1*v_443(k, M, y[15], y[49], y[4], y[0]) +1*v_517(k, M, y[15], y[16], y[25], y[52]) -1*v_553(k, M, y[15], y[58], y[8], y[12]) +1*v_621(k, M, y[14], y[0], y[15]) -1*v_623(k, M, y[15], y[16], y[0])
- dydt[16] = -1*v_35(k, M, y[15], y[16], y[3], y[0]) -1*v_69(k, M, y[15], y[16], y[9], y[8]) -1*v_79(k, M, y[15], y[16], y[12], y[11]) +1*v_91(k, M, y[15], y[16], y[13], y[11]) +1*v_95(k, M, y[15], y[16], y[14]) +1*v_97(k, M, y[15], y[16], y[13], y[14]) -1*v_99(k, M, y[15], y[16], y[2], y[1]) -1*v_109(k, M, y[2], y[16], y[4], y[15]) +1*v_195(k, M, y[16], y[24], y[8], y[17]) -1*v_255(k, M, y[35], y[33], y[16], y[15]) -1*v_321(k, M, y[15], y[16], y[30], y[31]) -1*v_517(k, M, y[15], y[16], y[25], y[52]) +1*v_623(k, M, y[15], y[16], y[0]) +1*v_633(k, M, y[16], y[8]) -1*v_639(k, M, y[16], y[3], y[14]) -1*v_755(k, M, y[16], y[3], y[14]) -1*v_757(k, M, y[16], y[14], y[0]) -1*v_759(k, M, y[16], y[3], y[11]) -1*v_761(k, M, y[61], y[16], y[9]) -1*v_763(k, M, y[16], y[8])
- dydt[17] = -1*v_37(k, M, y[2], y[0], y[18], y[17]) +1*v_41(k, M, y[6], y[17], y[4], y[10]) +1*v_55(k, M, y[2], y[7], y[12], y[17]) +1*v_57(k, M, y[17], y[4], y[7], y[11]) +1*v_71(k, M, y[17], y[2], y[8], y[11]) +1*v_81(k, M, y[17], y[4], y[12], y[5]) +1*v_103(k, M, y[17], y[4], y[0], y[5]) +1*v_111(k, M, y[6], y[2], y[0], y[17]) +1*v_131(k, M, y[17], y[3], y[0], y[21]) +1*v_133(k, M, y[17], y[2], y[1], y[21]) +1*v_135(k, M, y[17], y[21], y[18], y[5]) +1*v_147(k, M, y[0], y[4], y[7], y[17]) +1*v_151(k, M, y[20], y[7], y[18], y[17]) -1*v_153(k, M, y[8], y[18], y[22], y[17]) +1*v_157(k, M, y[11], y[17], y[12], y[21]) +1*v_173(k, M, y[3], y[4], y[7], y[17]) +1*v_175(k, M, y[17], y[7], y[8], y[21]) +1*v_187(k, M, y[17], y[9], y[8], y[21]) +1*v_195(k, M, y[16], y[24], y[8], y[17]) +1*v_201(k, M, y[17], y[26], y[8], y[0]) +1*v_207(k, M, y[27], y[17], y[7], y[0]) +1*v_211(k, M, y[17], y[20], y[21]) +1*v_269(k, M, y[33], y[2], y[17], y[31]) +1*v_275(k, M, y[4], y[28], y[30], y[17]) +1*v_277(k, M, y[28], y[32], y[18], y[17]) +1*v_291(k, M, y[17], y[29], y[32], y[5]) +1*v_299(k, M, y[32], y[30], y[17], y[34]) +1*v_323(k, M, y[29], y[4], y[17], y[31]) +1*v_365(k, M, y[42], y[33], y[17], y[0]) +1*v_385(k, M, y[6], y[4], y[25], y[17]) +1*v_387(k, M, y[17], y[7], y[25], y[1]) +1*v_391(k, M, y[21], y[25], y[12], y[17]) +1*v_457(k, M, y[17], y[41], y[32], y[21]) +1*v_473(k, M, y[42], y[17], y[51], y[21]) +1*v_475(k, M, y[51], y[18], y[30], y[17]) -1*v_503(k, M, y[2], y[18], y[52], y[17]) +1*v_519(k, M, y[17], y[25], y[52], y[21]) -1*v_585(k, M, y[18], y[60], y[17]) -1*v_595(k, M, y[61], y[7], y[17]) +1*v_595(k, M, y[61], y[7], y[17]) -1*v_641(k, M, y[4], y[18], y[17]) -1*v_645(k, M, y[17], y[21], y[0]) -1*v_655(k, M, y[24], y[8], y[17]) -1*v_659(k, M, y[3], y[20], y[17]) +1*v_673(k, M, y[42], y[17], y[29]) +1*v_705(k, M, y[6], y[17], y[4]) -1*v_739(k, M, y[6], y[4], y[17]) +1*v_745(k, M, y[4], y[18], y[17]) +1*v_747(k, M, y[18], y[17], y[60]) +1*v_767(k, M, y[17], y[0], y[21]) +1*v_769(k, M, y[3], y[20], y[17]) +1*v_779(k, M, y[49], y[9], y[17]) +1*v_797(k, M, y[42], y[29], y[17])
- dydt[18] = +1*v_37(k, M, y[2], y[0], y[18], y[17]) -1*v_135(k, M, y[17], y[21], y[18], y[5]) -1*v_151(k, M, y[20], y[7], y[18], y[17]) +1*v_153(k, M, y[8], y[18], y[22], y[17]) -1*v_277(k, M, y[28], y[32], y[18], y[17]) -1*v_475(k, M, y[51], y[18], y[30], y[17]) +1*v_503(k, M, y[2], y[18], y[52], y[17]) -1*v_581(k, M, y[4], y[18], y[60]) +1*v_581(k, M, y[4], y[18], y[60]) +1*v_585(k, M, y[18], y[60], y[17]) +1*v_641(k, M, y[4], y[18], y[17]) -1*v_745(k, M, y[4], y[18], y[17]) -1*v_747(k, M, y[18], y[17], y[60])
- dydt[19] = -1*v_121(k, M, y[19], y[2], y[8], y[0]) -1*v_129(k, M, y[19], y[20], y[9], y[8]) +1*v_155(k, M, y[3], y[19], y[0], y[23]) -1*v_159(k, M, y[19], y[20], y[12], y[11]) +1*v_163(k, M, y[11], y[19], y[12], y[23]) -1*v_177(k, M, y[19], y[2], y[7], y[14]) -1*v_179(k, M, y[19], y[7], y[20], y[8]) +1*v_185(k, M, y[19], y[7], y[8], y[23]) -1*v_213(k, M, y[19], y[20], y[22], y[23]) +1*v_427(k, M, y[2], y[19], y[46], y[33]) -1*v_559(k, M, y[19], y[2], y[58], y[12]) -1*v_643(k, M, y[19], y[20], y[0]) +1*v_647(k, M, y[19], y[1], y[5]) -1*v_651(k, M, y[19], y[23], y[0])
- dydt[20] = -1*v_123(k, M, y[21], y[3], y[20], y[0]) -1*v_127(k, M, y[21], y[8], y[20], y[9]) +1*v_129(k, M, y[19], y[20], y[9], y[8]) +1*v_137(k, M, y[4], y[0], y[8], y[20]) +1*v_139(k, M, y[2], y[4], y[22], y[20]) +1*v_141(k, M, y[2], y[1], y[22], y[20]) +1*v_149(k, M, y[2], y[7], y[20], y[0]) +1*v_151(k, M, y[20], y[7], y[18], y[17]) +1*v_159(k, M, y[19], y[20], y[12], y[11]) +1*v_161(k, M, y[11], y[20], y[22], y[12]) +1*v_179(k, M, y[19], y[7], y[20], y[8]) +1*v_181(k, M, y[20], y[7], y[22], y[8]) +1*v_189(k, M, y[20], y[8], y[22], y[9]) +1*v_199(k, M, y[20], y[3], y[22], y[0]) -1*v_209(k, M, y[2], y[4], y[20], y[21]) +1*v_211(k, M, y[17], y[20], y[21]) +1*v_213(k, M, y[19], y[20], y[22], y[23]) +1*v_215(k, M, y[20], y[22], y[23]) +1*v_389(k, M, y[2], y[25], y[8], y[20]) +1*v_393(k, M, y[20], y[25], y[13], y[21]) +1*v_441(k, M, y[0], y[1], y[20], y[5]) +1*v_455(k, M, y[41], y[32], y[22], y[20]) +1*v_643(k, M, y[19], y[20], y[0]) +1*v_649(k, M, y[20], y[22], y[0]) +1*v_657(k, M, y[0], y[20], y[21]) +1*v_659(k, M, y[3], y[20], y[17]) -1*v_769(k, M, y[3], y[20], y[17]) -1*v_771(k, M, y[21], y[20], y[0]) +1*v_775(k, M, y[3], y[20], y[23])
- dydt[21] = +1*v_123(k, M, y[21], y[3], y[20], y[0]) +1*v_125(k, M, y[4], y[8], y[14], y[21]) +1*v_127(k, M, y[21], y[8], y[20], y[9]) -1*v_131(k, M, y[17], y[3], y[0], y[21]) -1*v_133(k, M, y[17], y[2], y[1], y[21]) +1*v_135(k, M, y[17], y[21], y[18], y[5]) -1*v_157(k, M, y[11], y[17], y[12], y[21]) -1*v_175(k, M, y[17], y[7], y[8], y[21]) -1*v_187(k, M, y[17], y[9], y[8], y[21]) +1*v_193(k, M, y[21], y[24], y[8], y[0]) +1*v_209(k, M, y[2], y[4], y[20], y[21]) -1*v_211(k, M, y[17], y[20], y[21]) -1*v_211(k, M, y[17], y[20], y[21]) +1*v_391(k, M, y[21], y[25], y[12], y[17]) +1*v_393(k, M, y[20], y[25], y[13], y[21]) -1*v_457(k, M, y[17], y[41], y[32], y[21]) -1*v_473(k, M, y[42], y[17], y[51], y[21]) -1*v_519(k, M, y[17], y[25], y[52], y[21]) +1*v_557(k, M, y[58], y[2], y[13], y[21]) +1*v_645(k, M, y[17], y[21], y[0]) -1*v_657(k, M, y[0], y[20], y[21]) -1*v_767(k, M, y[17], y[0], y[21]) +1*v_771(k, M, y[21], y[20], y[0]) +1*v_781(k, M, y[49], y[8], y[21])
- dydt[22] = -1*v_139(k, M, y[2], y[4], y[22], y[20]) -1*v_141(k, M, y[2], y[1], y[22], y[20]) +1*v_143(k, M, y[3], y[0], y[22], y[23]) -1*v_153(k, M, y[8], y[18], y[22], y[17]) -1*v_161(k, M, y[11], y[20], y[22], y[12]) +1*v_165(k, M, y[22], y[11], y[12], y[23]) -1*v_181(k, M, y[20], y[7], y[22], y[8]) +1*v_183(k, M, y[7], y[22], y[23], y[8]) -1*v_189(k, M, y[20], y[8], y[22], y[9]) +1*v_191(k, M, y[22], y[9], y[8], y[23]) -1*v_199(k, M, y[20], y[3], y[22], y[0]) -1*v_213(k, M, y[19], y[20], y[22], y[23]) -1*v_215(k, M, y[20], y[22], y[23]) -1*v_215(k, M, y[20], y[22], y[23]) -1*v_383(k, M, y[4], y[8], y[25], y[22]) +1*v_415(k, M, y[22], y[32], y[8], y[43]) -1*v_455(k, M, y[41], y[32], y[22], y[20]) -1*v_649(k, M, y[20], y[22], y[0]) +1*v_777(k, M, y[0], y[22], y[23])
- dydt[23] = -1*v_143(k, M, y[3], y[0], y[22], y[23]) -1*v_145(k, M, y[1], y[0], y[8], y[23]) -1*v_155(k, M, y[3], y[19], y[0], y[23]) -1*v_163(k, M, y[11], y[19], y[12], y[23]) -1*v_165(k, M, y[22], y[11], y[12], y[23]) -1*v_183(k, M, y[7], y[22], y[23], y[8]) -1*v_185(k, M, y[19], y[7], y[8], y[23]) -1*v_191(k, M, y[22], y[9], y[8], y[23]) +1*v_213(k, M, y[19], y[20], y[22], y[23]) +1*v_215(k, M, y[20], y[22], y[23]) +1*v_651(k, M, y[19], y[23], y[0]) +1*v_719(k, M, y[2], y[8], y[23]) -1*v_773(k, M, y[2], y[8], y[23]) -1*v_775(k, M, y[3], y[20], y[23]) -1*v_777(k, M, y[0], y[22], y[23])
- dydt[24] = -1*v_193(k, M, y[21], y[24], y[8], y[0]) -1*v_195(k, M, y[16], y[24], y[8], y[17]) +1*v_445(k, M, y[49], y[3], y[24], y[0]) +1*v_653(k, M, y[2], y[24], y[11]) +1*v_655(k, M, y[24], y[8], y[17])
- dydt[25] = +1*v_197(k, M, y[2], y[4], y[25], y[0]) +1*v_383(k, M, y[4], y[8], y[25], y[22]) -1*v_385(k, M, y[6], y[4], y[25], y[17]) -1*v_387(k, M, y[17], y[7], y[25], y[1]) -1*v_389(k, M, y[2], y[25], y[8], y[20]) -1*v_391(k, M, y[21], y[25], y[12], y[17]) -1*v_393(k, M, y[20], y[25], y[13], y[21]) -1*v_395(k, M, y[4], y[32], y[28], y[25]) -1*v_397(k, M, y[29], y[32], y[25], y[2]) -1*v_399(k, M, y[29], y[4], y[41], y[25]) -1*v_401(k, M, y[2], y[33], y[41], y[25]) +1*v_403(k, M, y[25], y[4], y[32], y[43]) +1*v_405(k, M, y[25], y[4], y[44], y[34]) +1*v_501(k, M, y[3], y[25], y[52], y[0]) +1*v_513(k, M, y[2], y[4], y[25], y[52]) -1*v_515(k, M, y[9], y[25], y[8], y[52]) -1*v_517(k, M, y[15], y[16], y[25], y[52]) -1*v_519(k, M, y[17], y[25], y[52], y[21]) +1*v_521(k, M, y[2], y[1], y[25], y[52]) +1*v_549(k, M, y[35], y[33], y[25], y[52]) +1*v_587(k, M, y[32], y[25], y[60], y[43]) +1*v_691(k, M, y[53], y[25], y[52]) -1*v_695(k, M, y[25], y[52], y[0]) +1*v_713(k, M, y[4], y[25]) -1*v_803(k, M, y[4], y[25]) -1*v_805(k, M, y[4], y[25], y[60])
- dydt[26] = -1*v_201(k, M, y[17], y[26], y[8], y[0]) +1*v_203(k, M, y[4], y[26], y[13], y[0])
- dydt[27] = +1*v_205(k, M, y[27], y[4], y[0], y[11]) -1*v_207(k, M, y[27], y[17], y[7], y[0])
- dydt[28] = -1*v_217(k, M, y[29], y[28], y[5], y[6]) -1*v_219(k, M, y[0], y[28], y[30], y[5]) -1*v_221(k, M, y[29], y[7], y[28], y[5]) -1*v_223(k, M, y[7], y[28], y[0], y[31]) -1*v_225(k, M, y[6], y[28], y[30], y[10]) +1*v_227(k, M, y[2], y[28], y[32], y[0]) +1*v_229(k, M, y[29], y[28], y[3], y[0]) +1*v_237(k, M, y[29], y[28], y[9], y[8]) +1*v_257(k, M, y[29], y[4], y[28], y[2]) +1*v_263(k, M, y[29], y[28], y[2], y[1]) +1*v_275(k, M, y[4], y[28], y[30], y[17]) -1*v_277(k, M, y[28], y[32], y[18], y[17]) -1*v_279(k, M, y[4], y[28], y[32], y[34]) -1*v_281(k, M, y[29], y[28], y[0], y[34]) -1*v_283(k, M, y[6], y[28], y[30], y[34]) -1*v_369(k, M, y[28], y[36], y[8], y[0]) -1*v_371(k, M, y[3], y[28], y[8], y[31]) -1*v_395(k, M, y[4], y[32], y[28], y[25]) +1*v_491(k, M, y[29], y[33], y[35], y[28]) -1*v_545(k, M, y[28], y[13], y[0], y[56]) -1*v_551(k, M, y[35], y[38], y[28], y[3]) -1*v_561(k, M, y[3], y[58], y[28], y[54]) -1*v_563(k, M, y[59], y[28], y[54], y[0]) -1*v_665(k, M, y[28], y[3], y[33]) -1*v_667(k, M, y[28], y[34]) -1*v_667(k, M, y[28], y[34]) +1*v_707(k, M, y[29], y[28], y[0]) -1*v_709(k, M, y[4], y[28], y[32]) +1*v_717(k, M, y[28], y[62]) +1*v_783(k, M, y[28], y[34]) +1*v_783(k, M, y[28], y[34]) +1*v_791(k, M, y[4], y[28], y[32])
- dydt[29] = +1*v_217(k, M, y[29], y[28], y[5], y[6]) +1*v_221(k, M, y[29], y[7], y[28], y[5]) -1*v_229(k, M, y[29], y[28], y[3], y[0]) +1*v_231(k, M, y[29], y[33], y[3], y[0]) -1*v_237(k, M, y[29], y[28], y[9], y[8]) +1*v_239(k, M, y[29], y[33], y[9], y[8]) +1*v_247(k, M, y[29], y[33], y[12], y[11]) -1*v_257(k, M, y[29], y[4], y[28], y[2]) -1*v_259(k, M, y[29], y[4], y[32], y[0]) -1*v_263(k, M, y[29], y[28], y[2], y[1]) -1*v_271(k, M, y[29], y[4], y[2], y[33]) +1*v_273(k, M, y[29], y[33], y[2], y[1]) -1*v_281(k, M, y[29], y[28], y[0], y[34]) +1*v_285(k, M, y[29], y[31], y[7], y[34]) +1*v_291(k, M, y[17], y[29], y[32], y[5]) -1*v_295(k, M, y[29], y[2], y[32], y[34]) -1*v_301(k, M, y[29], y[30], y[0], y[6]) -1*v_303(k, M, y[29], y[3], y[34]) -1*v_303(k, M, y[29], y[3], y[34]) +1*v_313(k, M, y[35], y[33], y[29]) -1*v_319(k, M, y[29], y[33], y[36], y[31]) +1*v_323(k, M, y[29], y[4], y[17], y[31]) -1*v_325(k, M, y[29], y[33], y[37], y[0]) -1*v_359(k, M, y[29], y[33], y[38], y[37]) +1*v_375(k, M, y[29], y[4], y[38], y[32]) -1*v_397(k, M, y[29], y[32], y[25], y[2]) -1*v_399(k, M, y[29], y[4], y[41], y[25]) -1*v_409(k, M, y[29], y[32], y[44], y[0]) -1*v_447(k, M, y[29], y[2], y[41], y[0]) +1*v_471(k, M, y[42], y[33], y[51], y[29]) -1*v_487(k, M, y[29], y[33], y[39], y[37]) -1*v_491(k, M, y[29], y[33], y[35], y[28]) +1*v_495(k, M, y[29], y[41], y[3], y[1]) +1*v_599(k, M, y[3], y[0], y[62], y[29]) +1*v_601(k, M, y[29], y[2], y[62], y[1]) +1*v_603(k, M, y[35], y[33], y[62], y[29]) +1*v_673(k, M, y[42], y[17], y[29]) -1*v_707(k, M, y[29], y[28], y[0]) +1*v_787(k, M, y[35], y[29], y[0]) +1*v_797(k, M, y[42], y[29], y[17])
- dydt[30] = +1*v_219(k, M, y[0], y[28], y[30], y[5]) +1*v_225(k, M, y[6], y[28], y[30], y[10]) -1*v_233(k, M, y[3], y[30], y[0], y[31]) -1*v_235(k, M, y[7], y[30], y[5], y[31]) -1*v_241(k, M, y[30], y[7], y[8], y[31]) -1*v_243(k, M, y[9], y[30], y[8], y[31]) +1*v_245(k, M, y[30], y[10], y[34]) +1*v_245(k, M, y[30], y[10], y[34]) -1*v_265(k, M, y[4], y[2], y[30], y[31]) +1*v_267(k, M, y[2], y[1], y[30], y[31]) -1*v_275(k, M, y[4], y[28], y[30], y[17]) -1*v_283(k, M, y[6], y[28], y[30], y[34]) +1*v_287(k, M, y[6], y[4], y[32], y[30]) -1*v_299(k, M, y[32], y[30], y[17], y[34]) +1*v_301(k, M, y[29], y[30], y[0], y[6]) -1*v_317(k, M, y[35], y[33], y[30], y[31]) -1*v_321(k, M, y[15], y[16], y[30], y[31]) +1*v_469(k, M, y[42], y[51], y[30], y[31]) -1*v_475(k, M, y[51], y[18], y[30], y[17]) -1*v_479(k, M, y[2], y[51], y[30], y[0]) -1*v_525(k, M, y[0], y[30], y[11], y[54]) -1*v_537(k, M, y[14], y[57], y[30], y[0]) -1*v_663(k, M, y[30], y[0], y[31]) +1*v_789(k, M, y[30], y[0], y[31])
- dydt[31] = +1*v_223(k, M, y[7], y[28], y[0], y[31]) +1*v_233(k, M, y[3], y[30], y[0], y[31]) +1*v_235(k, M, y[7], y[30], y[5], y[31]) +1*v_241(k, M, y[30], y[7], y[8], y[31]) +1*v_243(k, M, y[9], y[30], y[8], y[31]) +1*v_265(k, M, y[4], y[2], y[30], y[31]) -1*v_267(k, M, y[2], y[1], y[30], y[31]) -1*v_269(k, M, y[33], y[2], y[17], y[31]) +1*v_285(k, M, y[29], y[31], y[7], y[34]) +1*v_289(k, M, y[4], y[32], y[5], y[31]) +1*v_293(k, M, y[1], y[32], y[8], y[31]) +1*v_317(k, M, y[35], y[33], y[30], y[31]) +1*v_319(k, M, y[29], y[33], y[36], y[31]) +1*v_321(k, M, y[15], y[16], y[30], y[31]) -1*v_323(k, M, y[29], y[4], y[17], y[31]) +1*v_361(k, M, y[2], y[1], y[36], y[31]) -1*v_367(k, M, y[42], y[2], y[0], y[31]) +1*v_371(k, M, y[3], y[28], y[8], y[31]) -1*v_469(k, M, y[42], y[51], y[30], y[31]) -1*v_477(k, M, y[4], y[51], y[0], y[31]) +1*v_489(k, M, y[35], y[33], y[36], y[31]) +1*v_523(k, M, y[3], y[36], y[0], y[31]) -1*v_527(k, M, y[0], y[12], y[54], y[31]) +1*v_529(k, M, y[55], y[8], y[0], y[31]) -1*v_539(k, M, y[57], y[13], y[0], y[31]) +1*v_541(k, M, y[45], y[57], y[10], y[31]) +1*v_663(k, M, y[30], y[0], y[31]) -1*v_671(k, M, y[36], y[0], y[31]) -1*v_789(k, M, y[30], y[0], y[31])
- dydt[32] = -1*v_227(k, M, y[2], y[28], y[32], y[0]) +1*v_259(k, M, y[29], y[4], y[32], y[0]) +1*v_277(k, M, y[28], y[32], y[18], y[17]) -1*v_279(k, M, y[4], y[28], y[32], y[34]) -1*v_287(k, M, y[6], y[4], y[32], y[30]) -1*v_289(k, M, y[4], y[32], y[5], y[31]) -1*v_291(k, M, y[17], y[29], y[32], y[5]) -1*v_293(k, M, y[1], y[32], y[8], y[31]) -1*v_295(k, M, y[29], y[2], y[32], y[34]) -1*v_297(k, M, y[33], y[1], y[32], y[34]) -1*v_299(k, M, y[32], y[30], y[17], y[34]) +1*v_309(k, M, y[33], y[4], y[3], y[32]) -1*v_353(k, M, y[2], y[33], y[38], y[32]) -1*v_355(k, M, y[38], y[41], y[32], y[34]) -1*v_363(k, M, y[42], y[7], y[32], y[0]) +1*v_375(k, M, y[29], y[4], y[38], y[32]) -1*v_379(k, M, y[36], y[2], y[32], y[8]) +1*v_395(k, M, y[4], y[32], y[28], y[25]) +1*v_397(k, M, y[29], y[32], y[25], y[2]) +1*v_403(k, M, y[25], y[4], y[32], y[43]) -1*v_409(k, M, y[29], y[32], y[44], y[0]) +1*v_415(k, M, y[22], y[32], y[8], y[43]) +1*v_449(k, M, y[2], y[41], y[1], y[32]) +1*v_451(k, M, y[2], y[4], y[41], y[32]) +1*v_453(k, M, y[41], y[3], y[32], y[0]) -1*v_455(k, M, y[41], y[32], y[22], y[20]) -1*v_457(k, M, y[17], y[41], y[32], y[21]) +1*v_465(k, M, y[1], y[50], y[32], y[0]) +1*v_467(k, M, y[35], y[33], y[41], y[32]) +1*v_587(k, M, y[32], y[25], y[60], y[43]) -1*v_677(k, M, y[4], y[32], y[43]) -1*v_685(k, M, y[41], y[32], y[0]) -1*v_687(k, M, y[2], y[50], y[32]) +1*v_709(k, M, y[4], y[28], y[32]) -1*v_791(k, M, y[4], y[28], y[32]) +1*v_793(k, M, y[4], y[32], y[43])
- dydt[33] = -1*v_231(k, M, y[29], y[33], y[3], y[0]) -1*v_239(k, M, y[29], y[33], y[9], y[8]) -1*v_247(k, M, y[29], y[33], y[12], y[11]) -1*v_249(k, M, y[35], y[33], y[13], y[11]) -1*v_251(k, M, y[35], y[33], y[13], y[14]) -1*v_253(k, M, y[15], y[33], y[35], y[14]) -1*v_255(k, M, y[35], y[33], y[16], y[15]) +1*v_261(k, M, y[35], y[33], y[4], y[2]) +1*v_269(k, M, y[33], y[2], y[17], y[31]) +1*v_271(k, M, y[29], y[4], y[2], y[33]) -1*v_273(k, M, y[29], y[33], y[2], y[1]) -1*v_297(k, M, y[33], y[1], y[32], y[34]) -1*v_305(k, M, y[35], y[33], y[3], y[0]) -1*v_307(k, M, y[35], y[33], y[9], y[8]) -1*v_309(k, M, y[33], y[4], y[3], y[32]) -1*v_311(k, M, y[35], y[33], y[2], y[1]) -1*v_313(k, M, y[35], y[33], y[29]) -1*v_313(k, M, y[35], y[33], y[29]) +1*v_315(k, M, y[35], y[33], y[7], y[5]) +1*v_317(k, M, y[35], y[33], y[30], y[31]) +1*v_319(k, M, y[29], y[33], y[36], y[31]) -1*v_325(k, M, y[29], y[33], y[37], y[0]) -1*v_327(k, M, y[35], y[33], y[38], y[37]) -1*v_329(k, M, y[35], y[33], y[39], y[37]) -1*v_351(k, M, y[35], y[33], y[38], y[34]) -1*v_353(k, M, y[2], y[33], y[38], y[32]) +1*v_359(k, M, y[29], y[33], y[38], y[37]) +1*v_365(k, M, y[42], y[33], y[17], y[0]) -1*v_373(k, M, y[35], y[33], y[7], y[8]) -1*v_377(k, M, y[3], y[33], y[37]) -1*v_377(k, M, y[3], y[33], y[37]) -1*v_401(k, M, y[2], y[33], y[41], y[25]) -1*v_411(k, M, y[33], y[1], y[44], y[43]) -1*v_417(k, M, y[35], y[33], y[39], y[40]) -1*v_423(k, M, y[48], y[33], y[46], y[35]) +1*v_425(k, M, y[15], y[33], y[46], y[8]) +1*v_427(k, M, y[2], y[19], y[46], y[33]) -1*v_433(k, M, y[33], y[3], y[8], y[47]) -1*v_435(k, M, y[33], y[46], y[8], y[0]) +1*v_439(k, M, y[33], y[39], y[0]) +1*v_439(k, M, y[33], y[39], y[0]) -1*v_467(k, M, y[35], y[33], y[41], y[32]) -1*v_471(k, M, y[42], y[33], y[51], y[29]) +1*v_487(k, M, y[29], y[33], y[39], y[37]) -1*v_489(k, M, y[35], y[33], y[36], y[31]) -1*v_491(k, M, y[29], y[33], y[35], y[28]) -1*v_493(k, M, y[33], y[4], y[41], y[0]) -1*v_549(k, M, y[35], y[33], y[25], y[52]) +1*v_583(k, M, y[35], y[33], y[2], y[60]) +1*v_603(k, M, y[35], y[33], y[62], y[29]) -1*v_661(k, M, y[33], y[35], y[0]) +1*v_665(k, M, y[28], y[3], y[33]) -1*v_675(k, M, y[33], y[40]) -1*v_675(k, M, y[33], y[40]) -1*v_683(k, M, y[33], y[8], y[48]) +1*v_785(k, M, y[35], y[33], y[0])
- dydt[34] = -1*v_245(k, M, y[30], y[10], y[34]) +1*v_279(k, M, y[4], y[28], y[32], y[34]) +1*v_281(k, M, y[29], y[28], y[0], y[34]) +1*v_283(k, M, y[6], y[28], y[30], y[34]) -1*v_285(k, M, y[29], y[31], y[7], y[34]) +1*v_295(k, M, y[29], y[2], y[32], y[34]) +1*v_297(k, M, y[33], y[1], y[32], y[34]) +1*v_299(k, M, y[32], y[30], y[17], y[34]) +1*v_303(k, M, y[29], y[3], y[34]) +1*v_345(k, M, y[38], y[3], y[0], y[34]) +1*v_347(k, M, y[2], y[38], y[1], y[34]) +1*v_349(k, M, y[2], y[4], y[38], y[34]) +1*v_351(k, M, y[35], y[33], y[38], y[34]) +1*v_355(k, M, y[38], y[41], y[32], y[34]) +1*v_405(k, M, y[25], y[4], y[44], y[34]) +1*v_407(k, M, y[2], y[44], y[0], y[34]) +1*v_667(k, M, y[28], y[34]) +1*v_679(k, M, y[4], y[44], y[34]) +1*v_681(k, M, y[38], y[0], y[34]) -1*v_783(k, M, y[28], y[34])
- dydt[35] = +1*v_249(k, M, y[35], y[33], y[13], y[11]) +1*v_251(k, M, y[35], y[33], y[13], y[14]) +1*v_253(k, M, y[15], y[33], y[35], y[14]) +1*v_255(k, M, y[35], y[33], y[16], y[15]) -1*v_261(k, M, y[35], y[33], y[4], y[2]) +1*v_305(k, M, y[35], y[33], y[3], y[0]) +1*v_307(k, M, y[35], y[33], y[9], y[8]) +1*v_311(k, M, y[35], y[33], y[2], y[1]) +1*v_313(k, M, y[35], y[33], y[29]) -1*v_315(k, M, y[35], y[33], y[7], y[5]) -1*v_317(k, M, y[35], y[33], y[30], y[31]) +1*v_327(k, M, y[35], y[33], y[38], y[37]) +1*v_329(k, M, y[35], y[33], y[39], y[37]) +1*v_351(k, M, y[35], y[33], y[38], y[34]) +1*v_373(k, M, y[35], y[33], y[7], y[8]) +1*v_417(k, M, y[35], y[33], y[39], y[40]) +1*v_423(k, M, y[48], y[33], y[46], y[35]) +1*v_467(k, M, y[35], y[33], y[41], y[32]) +1*v_489(k, M, y[35], y[33], y[36], y[31]) +1*v_491(k, M, y[29], y[33], y[35], y[28]) +1*v_549(k, M, y[35], y[33], y[25], y[52]) -1*v_551(k, M, y[35], y[38], y[28], y[3]) -1*v_583(k, M, y[35], y[33], y[2], y[60]) -1*v_603(k, M, y[35], y[33], y[62], y[29]) +1*v_661(k, M, y[33], y[35], y[0]) -1*v_785(k, M, y[35], y[33], y[0]) -1*v_787(k, M, y[35], y[29], y[0])
- dydt[36] = -1*v_319(k, M, y[29], y[33], y[36], y[31]) -1*v_361(k, M, y[2], y[1], y[36], y[31]) +1*v_369(k, M, y[28], y[36], y[8], y[0]) +1*v_379(k, M, y[36], y[2], y[32], y[8]) +1*v_431(k, M, y[3], y[0], y[36], y[47]) -1*v_489(k, M, y[35], y[33], y[36], y[31]) -1*v_523(k, M, y[3], y[36], y[0], y[31]) +1*v_671(k, M, y[36], y[0], y[31])
- dydt[37] = +1*v_325(k, M, y[29], y[33], y[37], y[0]) -1*v_327(k, M, y[35], y[33], y[38], y[37]) +1*v_329(k, M, y[35], y[33], y[39], y[37]) -1*v_331(k, M, y[3], y[38], y[37], y[0]) -1*v_333(k, M, y[38], y[37], y[8], y[9]) -1*v_335(k, M, y[38], y[2], y[37], y[1]) +1*v_337(k, M, y[3], y[39], y[37], y[0]) +1*v_339(k, M, y[2], y[4], y[39], y[37]) +1*v_341(k, M, y[2], y[39], y[37], y[1]) +1*v_343(k, M, y[39], y[37], y[40]) -1*v_357(k, M, y[2], y[38], y[4], y[37]) -1*v_359(k, M, y[29], y[33], y[38], y[37]) +1*v_377(k, M, y[3], y[33], y[37]) +1*v_487(k, M, y[29], y[33], y[39], y[37]) +1*v_669(k, M, y[39], y[37], y[0]) -1*v_711(k, M, y[38], y[37], y[0])
- dydt[38] = +1*v_327(k, M, y[35], y[33], y[38], y[37]) +1*v_331(k, M, y[3], y[38], y[37], y[0]) +1*v_333(k, M, y[38], y[37], y[8], y[9]) +1*v_335(k, M, y[38], y[2], y[37], y[1]) -1*v_345(k, M, y[38], y[3], y[0], y[34]) -1*v_347(k, M, y[2], y[38], y[1], y[34]) -1*v_349(k, M, y[2], y[4], y[38], y[34]) -1*v_351(k, M, y[35], y[33], y[38], y[34]) +1*v_353(k, M, y[2], y[33], y[38], y[32]) -1*v_355(k, M, y[38], y[41], y[32], y[34]) +1*v_357(k, M, y[2], y[38], y[4], y[37]) +1*v_359(k, M, y[29], y[33], y[38], y[37]) -1*v_375(k, M, y[29], y[4], y[38], y[32]) +1*v_551(k, M, y[35], y[38], y[28], y[3]) -1*v_681(k, M, y[38], y[0], y[34]) +1*v_711(k, M, y[38], y[37], y[0])
- dydt[39] = -1*v_329(k, M, y[35], y[33], y[39], y[37]) -1*v_337(k, M, y[3], y[39], y[37], y[0]) -1*v_339(k, M, y[2], y[4], y[39], y[37]) -1*v_341(k, M, y[2], y[39], y[37], y[1]) -1*v_343(k, M, y[39], y[37], y[40]) -1*v_343(k, M, y[39], y[37], y[40]) +1*v_381(k, M, y[39], y[3], y[40], y[0]) +1*v_417(k, M, y[35], y[33], y[39], y[40]) -1*v_439(k, M, y[33], y[39], y[0]) -1*v_487(k, M, y[29], y[33], y[39], y[37]) -1*v_669(k, M, y[39], y[37], y[0]) +1*v_795(k, M, y[39], y[40], y[0])
- dydt[40] = +1*v_343(k, M, y[39], y[37], y[40]) -1*v_381(k, M, y[39], y[3], y[40], y[0]) -1*v_417(k, M, y[35], y[33], y[39], y[40]) +1*v_675(k, M, y[33], y[40]) -1*v_795(k, M, y[39], y[40], y[0])
- dydt[41] = +1*v_355(k, M, y[38], y[41], y[32], y[34]) +1*v_399(k, M, y[29], y[4], y[41], y[25]) +1*v_401(k, M, y[2], y[33], y[41], y[25]) -1*v_413(k, M, y[41], y[1], y[44]) -1*v_413(k, M, y[41], y[1], y[44]) +1*v_447(k, M, y[29], y[2], y[41], y[0]) -1*v_449(k, M, y[2], y[41], y[1], y[32]) -1*v_451(k, M, y[2], y[4], y[41], y[32]) -1*v_453(k, M, y[41], y[3], y[32], y[0]) +1*v_455(k, M, y[41], y[32], y[22], y[20]) +1*v_457(k, M, y[17], y[41], y[32], y[21]) +1*v_461(k, M, y[2], y[41], y[50], y[0]) -1*v_467(k, M, y[35], y[33], y[41], y[32]) +1*v_493(k, M, y[33], y[4], y[41], y[0]) -1*v_495(k, M, y[29], y[41], y[3], y[1]) +1*v_685(k, M, y[41], y[32], y[0])
- dydt[42] = +1*v_363(k, M, y[42], y[7], y[32], y[0]) -1*v_365(k, M, y[42], y[33], y[17], y[0]) +1*v_367(k, M, y[42], y[2], y[0], y[31]) +1*v_469(k, M, y[42], y[51], y[30], y[31]) +1*v_471(k, M, y[42], y[33], y[51], y[29]) +1*v_473(k, M, y[42], y[17], y[51], y[21]) -1*v_481(k, M, y[42], y[3], y[51], y[0]) -1*v_483(k, M, y[42], y[4], y[51], y[2]) -1*v_485(k, M, y[42], y[2], y[51], y[1]) -1*v_673(k, M, y[42], y[17], y[29]) -1*v_715(k, M, y[42], y[51], y[0]) -1*v_797(k, M, y[42], y[29], y[17]) -1*v_799(k, M, y[42], y[51], y[0])
- dydt[43] = -1*v_403(k, M, y[25], y[4], y[32], y[43]) -1*v_411(k, M, y[33], y[1], y[44], y[43]) -1*v_415(k, M, y[22], y[32], y[8], y[43]) +1*v_459(k, M, y[1], y[2], y[50], y[43]) +1*v_463(k, M, y[3], y[43], y[50], y[0]) -1*v_587(k, M, y[32], y[25], y[60], y[43]) +1*v_677(k, M, y[4], y[32], y[43]) -1*v_793(k, M, y[4], y[32], y[43])
- dydt[44] = -1*v_405(k, M, y[25], y[4], y[44], y[34]) -1*v_407(k, M, y[2], y[44], y[0], y[34]) +1*v_409(k, M, y[29], y[32], y[44], y[0]) +1*v_411(k, M, y[33], y[1], y[44], y[43]) +1*v_413(k, M, y[41], y[1], y[44]) -1*v_679(k, M, y[4], y[44], y[34])
- dydt[45] = +1*v_419(k, M, y[45], y[0], y[12], y[11]) +1*v_541(k, M, y[45], y[57], y[10], y[31]) -1*v_811(k, M, y[45], y[10], y[11])
- dydt[46] = -1*v_421(k, M, y[46], y[3], y[47], y[0]) +1*v_423(k, M, y[48], y[33], y[46], y[35]) -1*v_425(k, M, y[15], y[33], y[46], y[8]) -1*v_427(k, M, y[2], y[19], y[46], y[33]) +1*v_429(k, M, y[48], y[46], y[3], y[0]) +1*v_435(k, M, y[33], y[46], y[8], y[0]) +1*v_437(k, M, y[48], y[46], y[9], y[8])
- dydt[47] = +1*v_421(k, M, y[46], y[3], y[47], y[0]) -1*v_431(k, M, y[3], y[0], y[36], y[47]) +1*v_433(k, M, y[33], y[3], y[8], y[47])
- dydt[48] = -1*v_423(k, M, y[48], y[33], y[46], y[35]) -1*v_429(k, M, y[48], y[46], y[3], y[0]) -1*v_437(k, M, y[48], y[46], y[9], y[8]) +1*v_683(k, M, y[33], y[8], y[48])
- dydt[49] = +1*v_443(k, M, y[15], y[49], y[4], y[0]) -1*v_445(k, M, y[49], y[3], y[24], y[0]) -1*v_779(k, M, y[49], y[9], y[17]) -1*v_781(k, M, y[49], y[8], y[21])
- dydt[50] = -1*v_459(k, M, y[1], y[2], y[50], y[43]) -1*v_461(k, M, y[2], y[41], y[50], y[0]) -1*v_463(k, M, y[3], y[43], y[50], y[0]) -1*v_465(k, M, y[1], y[50], y[32], y[0]) +1*v_687(k, M, y[2], y[50], y[32])
- dydt[51] = -1*v_469(k, M, y[42], y[51], y[30], y[31]) -1*v_471(k, M, y[42], y[33], y[51], y[29]) -1*v_473(k, M, y[42], y[17], y[51], y[21]) +1*v_475(k, M, y[51], y[18], y[30], y[17]) +1*v_477(k, M, y[4], y[51], y[0], y[31]) +1*v_479(k, M, y[2], y[51], y[30], y[0]) +1*v_481(k, M, y[42], y[3], y[51], y[0]) +1*v_483(k, M, y[42], y[4], y[51], y[2]) +1*v_485(k, M, y[42], y[2], y[51], y[1]) +1*v_715(k, M, y[42], y[51], y[0]) +1*v_799(k, M, y[42], y[51], y[0])
- dydt[52] = -1*v_497(k, M, y[2], y[52], y[0]) -1*v_499(k, M, y[4], y[1], y[52], y[0]) -1*v_501(k, M, y[3], y[25], y[52], y[0]) -1*v_503(k, M, y[2], y[18], y[52], y[17]) +1*v_505(k, M, y[2], y[4], y[52], y[53]) +1*v_507(k, M, y[2], y[1], y[52], y[53]) +1*v_509(k, M, y[3], y[52], y[53], y[0]) -1*v_513(k, M, y[2], y[4], y[25], y[52]) +1*v_515(k, M, y[9], y[25], y[8], y[52]) +1*v_517(k, M, y[15], y[16], y[25], y[52]) +1*v_519(k, M, y[17], y[25], y[52], y[21]) -1*v_521(k, M, y[2], y[1], y[25], y[52]) -1*v_547(k, M, y[53], y[9], y[52], y[8]) -1*v_549(k, M, y[35], y[33], y[25], y[52]) -1*v_691(k, M, y[53], y[25], y[52]) -1*v_691(k, M, y[53], y[25], y[52]) +1*v_695(k, M, y[25], y[52], y[0]) -1*v_801(k, M, y[2], y[4], y[52])
- dydt[53] = -1*v_505(k, M, y[2], y[4], y[52], y[53]) -1*v_507(k, M, y[2], y[1], y[52], y[53]) -1*v_509(k, M, y[3], y[52], y[53], y[0]) -1*v_511(k, M, y[2], y[1], y[53], y[0]) +1*v_547(k, M, y[53], y[9], y[52], y[8]) +1*v_691(k, M, y[53], y[25], y[52]) +1*v_693(k, M, y[2], y[53])
- dydt[54] = +1*v_525(k, M, y[0], y[30], y[11], y[54]) +1*v_527(k, M, y[0], y[12], y[54], y[31]) +1*v_543(k, M, y[11], y[57], y[54], y[10]) +1*v_561(k, M, y[3], y[58], y[28], y[54]) +1*v_563(k, M, y[59], y[28], y[54], y[0])
- dydt[55] = -1*v_529(k, M, y[55], y[8], y[0], y[31]) -1*v_531(k, M, y[3], y[55], y[56], y[0]) -1*v_533(k, M, y[2], y[55], y[56], y[1]) -1*v_535(k, M, y[2], y[4], y[55], y[56]) +1*v_697(k, M, y[55], y[56], y[0])
- dydt[56] = +1*v_531(k, M, y[3], y[55], y[56], y[0]) +1*v_533(k, M, y[2], y[55], y[56], y[1]) +1*v_535(k, M, y[2], y[4], y[55], y[56]) +1*v_545(k, M, y[28], y[13], y[0], y[56]) -1*v_697(k, M, y[55], y[56], y[0])
- dydt[57] = +1*v_537(k, M, y[14], y[57], y[30], y[0]) +1*v_539(k, M, y[57], y[13], y[0], y[31]) -1*v_541(k, M, y[45], y[57], y[10], y[31]) -1*v_543(k, M, y[11], y[57], y[54], y[10])
- dydt[58] = +1*v_553(k, M, y[15], y[58], y[8], y[12]) +1*v_555(k, M, y[58], y[8], y[13]) -1*v_557(k, M, y[58], y[2], y[13], y[21]) +1*v_559(k, M, y[19], y[2], y[58], y[12]) -1*v_561(k, M, y[3], y[58], y[28], y[54]) +1*v_567(k, M, y[58], y[0], y[7], y[11]) +1*v_573(k, M, y[58], y[0], y[8], y[12]) +1*v_597(k, M, y[61], y[58], y[0], y[11]) +1*v_699(k, M, y[59], y[58], y[0]) -1*v_701(k, M, y[58], y[64]) -1*v_701(k, M, y[58], y[64]) +1*v_807(k, M, y[64], y[58]) +1*v_807(k, M, y[64], y[58])
- dydt[59] = -1*v_563(k, M, y[59], y[28], y[54], y[0]) +1*v_565(k, M, y[59], y[3], y[7], y[11]) +1*v_569(k, M, y[59], y[7], y[12], y[0]) +1*v_571(k, M, y[11], y[0], y[59], y[5]) -1*v_699(k, M, y[59], y[58], y[0])
- dydt[60] = -1*v_575(k, M, y[2], y[3], y[60], y[0]) -1*v_577(k, M, y[2], y[9], y[60], y[8]) -1*v_579(k, M, y[2], y[1], y[60]) -1*v_581(k, M, y[4], y[18], y[60]) -1*v_583(k, M, y[35], y[33], y[2], y[60]) -1*v_585(k, M, y[18], y[60], y[17]) -1*v_587(k, M, y[32], y[25], y[60], y[43]) +1*v_723(k, M, y[3], y[1], y[60]) +1*v_747(k, M, y[18], y[17], y[60]) +1*v_805(k, M, y[4], y[25], y[60])
- dydt[61] = -1*v_589(k, M, y[61], y[3], y[8], y[0]) -1*v_591(k, M, y[61], y[7], y[3]) -1*v_593(k, M, y[61], y[7], y[1]) -1*v_595(k, M, y[61], y[7], y[17]) -1*v_597(k, M, y[61], y[58], y[0], y[11]) +1*v_729(k, M, y[61], y[3], y[9]) +1*v_731(k, M, y[61], y[9], y[0]) +1*v_737(k, M, y[61], y[8], y[0]) +1*v_761(k, M, y[61], y[16], y[9])
- dydt[62] = -1*v_599(k, M, y[3], y[0], y[62], y[29]) -1*v_601(k, M, y[29], y[2], y[62], y[1]) -1*v_603(k, M, y[35], y[33], y[62], y[29]) -1*v_717(k, M, y[28], y[62])
- dydt[63] = -1*v_605(k, M, y[63]) +1*v_605(k, M, y[63])
- dydt[64] = +1*v_701(k, M, y[58], y[64]) -1*v_807(k, M, y[64], y[58]) -1*v_809(k, M, y[64], y[11])
+ dydt[0] = -1*v_1(k, M, y[0], y[3], y[1], y[2]) +1*v_3(k, M, y[0], y[4], y[1], y[3]) +1*v_5(k, M, y[0], y[4], y[2]) +1*v_5(k, M, y[0], y[4], y[2]) -1*v_37(k, M, y[0], y[3], y[18], y[17]) -1*v_53(k, M, y[8], y[7], y[0], y[2]) -1*v_55(k, M, y[12], y[7], y[17], y[0]) -1*v_71(k, M, y[0], y[8], y[11], y[17]) -1*v_83(k, M, y[12], y[4], y[11], y[0]) +1*v_85(k, M, y[12], y[0], y[11], y[2]) -1*v_93(k, M, y[0], y[13], y[14], y[2]) -1*v_99(k, M, y[0], y[16], y[15], y[2]) +1*v_101(k, M, y[0], y[5], y[4], y[6]) +1*v_105(k, M, y[8], y[4], y[7], y[0]) -1*v_107(k, M, y[8], y[4], y[9], y[0]) +1*v_109(k, M, y[0], y[4], y[16], y[15]) -1*v_111(k, M, y[0], y[3], y[17], y[6]) -1*v_113(k, M, y[0], y[7], y[5], y[2]) -1*v_115(k, M, y[0], y[8], y[9], y[2]) -1*v_117(k, M, y[0], y[13], y[11], y[2]) -1*v_119(k, M, y[0], y[15], y[14], y[2]) +1*v_121(k, M, y[0], y[19], y[8], y[3]) -1*v_133(k, M, y[0], y[21], y[17], y[2]) +1*v_139(k, M, y[22], y[4], y[20], y[0]) -1*v_141(k, M, y[22], y[20], y[0], y[2]) -1*v_149(k, M, y[0], y[7], y[20], y[3]) +1*v_167(k, M, y[0], y[4], y[13], y[11]) +1*v_177(k, M, y[0], y[19], y[7], y[14]) -1*v_197(k, M, y[0], y[4], y[25], y[3]) +1*v_209(k, M, y[20], y[4], y[21], y[0]) -1*v_227(k, M, y[0], y[3], y[32], y[28]) +1*v_257(k, M, y[0], y[4], y[29], y[28]) +1*v_261(k, M, y[0], y[4], y[33], y[35]) -1*v_263(k, M, y[0], y[29], y[28], y[2]) -1*v_265(k, M, y[0], y[4], y[30], y[31]) -1*v_267(k, M, y[0], y[31], y[30], y[2]) -1*v_269(k, M, y[0], y[31], y[17], y[33]) -1*v_271(k, M, y[0], y[4], y[29], y[33]) -1*v_273(k, M, y[0], y[29], y[33], y[2]) +1*v_295(k, M, y[0], y[34], y[29], y[32]) -1*v_311(k, M, y[0], y[33], y[35], y[2]) -1*v_333(k, M, y[0], y[37], y[2], y[36]) +1*v_337(k, M, y[38], y[4], y[0], y[36]) -1*v_339(k, M, y[38], y[2], y[0], y[36]) -1*v_345(k, M, y[37], y[34], y[0], y[2]) +1*v_347(k, M, y[37], y[4], y[34], y[0]) +1*v_351(k, M, y[37], y[0], y[32], y[33]) +1*v_355(k, M, y[37], y[4], y[0], y[36]) -1*v_359(k, M, y[0], y[31], y[41], y[2]) -1*v_365(k, M, y[0], y[31], y[42], y[3]) +1*v_377(k, M, y[8], y[41], y[32], y[0]) +1*v_387(k, M, y[8], y[20], y[25], y[0]) +1*v_395(k, M, y[0], y[29], y[32], y[25]) +1*v_399(k, M, y[0], y[40], y[25], y[33]) +1*v_405(k, M, y[0], y[3], y[34], y[44]) -1*v_425(k, M, y[0], y[19], y[46], y[33]) -1*v_445(k, M, y[0], y[40], y[29], y[3]) -1*v_447(k, M, y[0], y[40], y[32], y[2]) +1*v_449(k, M, y[0], y[40], y[32], y[4]) -1*v_457(k, M, y[50], y[43], y[0], y[2]) +1*v_459(k, M, y[50], y[3], y[0], y[40]) -1*v_477(k, M, y[0], y[3], y[51], y[30]) +1*v_481(k, M, y[42], y[4], y[51], y[0]) -1*v_483(k, M, y[42], y[51], y[0], y[2]) +1*v_495(k, M, y[0], y[3], y[52]) +1*v_495(k, M, y[0], y[3], y[52]) +1*v_501(k, M, y[0], y[18], y[52], y[17]) +1*v_503(k, M, y[0], y[4], y[52], y[53]) -1*v_505(k, M, y[0], y[52], y[53], y[2]) +1*v_509(k, M, y[0], y[3], y[53], y[2]) +1*v_511(k, M, y[0], y[4], y[25], y[52]) -1*v_519(k, M, y[0], y[25], y[52], y[2]) -1*v_531(k, M, y[0], y[55], y[2], y[56]) +1*v_533(k, M, y[0], y[55], y[4], y[56]) -1*v_557(k, M, y[0], y[58], y[13], y[21]) +1*v_559(k, M, y[12], y[19], y[58], y[0]) -1*v_599(k, M, y[23], y[22], y[0], y[2]) -1*v_601(k, M, y[23], y[19], y[0], y[2]) +1*v_603(k, M, y[0], y[43], y[32], y[52]) +1*v_615(k, M, y[0], y[65], y[16], y[15]) +1*v_617(k, M, y[0], y[65], y[1], y[3]) +1*v_619(k, M, y[0], y[65], y[8], y[9]) +1*v_621(k, M, y[0], y[65], y[2]) +1*v_621(k, M, y[0], y[65], y[2]) +1*v_625(k, M, y[0], y[65], y[33], y[35]) +1*v_645(k, M, y[67], y[29], y[0], y[2]) -1*v_653(k, M, y[0], y[8], y[2], y[66]) +1*v_659(k, M, y[0], y[3], y[4]) -1*v_661(k, M, y[0], y[3], y[2]) -1*v_703(k, M, y[0], y[11], y[24]) -1*v_737(k, M, y[0], y[50], y[32]) -1*v_743(k, M, y[0], y[53]) -1*v_743(k, M, y[0], y[53]) -1*v_781(k, M, y[0], y[8], y[23]) +1*v_783(k, M, y[0], y[3], y[2]) -1*v_827(k, M, y[0], y[3], y[4]) +1*v_835(k, M, y[23], y[8], y[0]) +1*v_863(k, M, y[0], y[4], y[52]) +1*v_877(k, M, y[50], y[32], y[0])
+ dydt[1] = -1*v_1(k, M, y[0], y[3], y[1], y[2]) -1*v_3(k, M, y[0], y[4], y[1], y[3]) +1*v_7(k, M, y[3], y[5], y[1], y[6]) +1*v_9(k, M, y[3], y[5], y[7], y[1]) -1*v_11(k, M, y[8], y[7], y[1], y[3]) +1*v_13(k, M, y[8], y[3], y[1], y[9]) -1*v_19(k, M, y[12], y[3], y[11], y[1]) +1*v_23(k, M, y[3], y[1], y[13], y[11]) -1*v_25(k, M, y[13], y[1], y[14], y[3]) +1*v_33(k, M, y[3], y[1], y[15], y[14]) +1*v_35(k, M, y[3], y[16], y[15], y[1]) +1*v_39(k, M, y[8], y[5], y[11], y[1]) -1*v_73(k, M, y[12], y[3], y[10], y[1]) +1*v_123(k, M, y[20], y[1], y[21], y[3]) +1*v_131(k, M, y[3], y[1], y[21], y[17]) +1*v_143(k, M, y[23], y[3], y[22], y[1]) +1*v_155(k, M, y[23], y[3], y[19], y[1]) +1*v_173(k, M, y[4], y[7], y[1], y[17]) +1*v_199(k, M, y[22], y[3], y[1], y[20]) +1*v_229(k, M, y[3], y[29], y[1], y[28]) +1*v_231(k, M, y[3], y[29], y[1], y[33]) -1*v_233(k, M, y[3], y[1], y[31], y[30]) +1*v_303(k, M, y[34], y[29], y[1]) -1*v_305(k, M, y[3], y[35], y[1], y[33]) +1*v_309(k, M, y[4], y[1], y[32], y[33]) +1*v_329(k, M, y[37], y[3], y[1], y[36]) +1*v_335(k, M, y[38], y[3], y[1], y[36]) +1*v_343(k, M, y[37], y[3], y[1], y[34]) +1*v_369(k, M, y[8], y[31], y[1], y[28]) +1*v_375(k, M, y[1], y[33], y[36]) +1*v_379(k, M, y[39], y[3], y[1], y[38]) +1*v_419(k, M, y[47], y[3], y[46], y[1]) +1*v_427(k, M, y[48], y[46], y[1], y[3]) +1*v_429(k, M, y[47], y[3], y[41], y[1]) +1*v_431(k, M, y[8], y[47], y[1], y[33]) +1*v_443(k, M, y[3], y[49], y[1], y[24]) +1*v_451(k, M, y[40], y[1], y[32], y[3]) +1*v_461(k, M, y[50], y[3], y[43], y[1]) +1*v_479(k, M, y[42], y[3], y[51], y[1]) -1*v_493(k, M, y[40], y[29], y[1], y[2]) +1*v_499(k, M, y[3], y[1], y[25], y[52]) +1*v_507(k, M, y[3], y[1], y[52], y[53]) +1*v_521(k, M, y[3], y[1], y[41], y[31]) +1*v_529(k, M, y[3], y[1], y[55], y[56]) +1*v_551(k, M, y[37], y[35], y[1], y[28]) +1*v_561(k, M, y[58], y[54], y[1], y[28]) +1*v_565(k, M, y[7], y[1], y[11], y[59]) +1*v_575(k, M, y[38], y[33], y[1], y[35]) -1*v_589(k, M, y[63], y[1], y[64], y[3]) -1*v_617(k, M, y[0], y[65], y[1], y[3]) -1*v_633(k, M, y[8], y[3], y[1], y[66]) -1*v_635(k, M, y[7], y[1], y[66]) +1*v_635(k, M, y[7], y[1], y[66]) -1*v_643(k, M, y[67], y[3], y[29], y[1]) +1*v_657(k, M, y[3], y[1]) -1*v_675(k, M, y[7], y[1], y[6]) -1*v_681(k, M, y[8], y[5], y[1]) +1*v_687(k, M, y[1], y[11], y[14]) +1*v_689(k, M, y[1], y[16], y[14]) -1*v_709(k, M, y[20], y[1], y[17]) -1*v_715(k, M, y[33], y[1], y[28]) +1*v_785(k, M, y[65], y[1], y[2]) +1*v_791(k, M, y[1], y[9], y[66]) +1*v_795(k, M, y[5], y[1], y[3], y[9]) +1*v_797(k, M, y[8], y[5], y[1]) -1*v_803(k, M, y[3], y[1]) +1*v_811(k, M, y[1], y[11], y[14]) +1*v_817(k, M, y[1], y[16], y[14]) +1*v_821(k, M, y[1], y[16], y[11]) +1*v_821(k, M, y[1], y[16], y[11]) +1*v_831(k, M, y[20], y[1], y[17]) +1*v_837(k, M, y[23], y[20], y[1])
+ dydt[2] = +1*v_1(k, M, y[0], y[3], y[1], y[2]) -1*v_5(k, M, y[0], y[4], y[2]) +1*v_53(k, M, y[8], y[7], y[0], y[2]) -1*v_85(k, M, y[12], y[0], y[11], y[2]) +1*v_93(k, M, y[0], y[13], y[14], y[2]) +1*v_99(k, M, y[0], y[16], y[15], y[2]) +1*v_113(k, M, y[0], y[7], y[5], y[2]) +1*v_115(k, M, y[0], y[8], y[9], y[2]) +1*v_117(k, M, y[0], y[13], y[11], y[2]) +1*v_119(k, M, y[0], y[15], y[14], y[2]) +1*v_133(k, M, y[0], y[21], y[17], y[2]) +1*v_141(k, M, y[22], y[20], y[0], y[2]) +1*v_145(k, M, y[23], y[3], y[8], y[2]) +1*v_263(k, M, y[0], y[29], y[28], y[2]) +1*v_267(k, M, y[0], y[31], y[30], y[2]) +1*v_273(k, M, y[0], y[29], y[33], y[2]) +1*v_293(k, M, y[8], y[31], y[32], y[2]) +1*v_297(k, M, y[34], y[32], y[33], y[2]) +1*v_311(k, M, y[0], y[33], y[35], y[2]) +1*v_333(k, M, y[0], y[37], y[2], y[36]) +1*v_339(k, M, y[38], y[2], y[0], y[36]) +1*v_345(k, M, y[37], y[34], y[0], y[2]) +1*v_359(k, M, y[0], y[31], y[41], y[2]) +1*v_385(k, M, y[7], y[25], y[2], y[17]) +1*v_409(k, M, y[43], y[2], y[33], y[44]) +1*v_411(k, M, y[40], y[2], y[44]) -1*v_439(k, M, y[20], y[5], y[3], y[2]) +1*v_447(k, M, y[0], y[40], y[32], y[2]) +1*v_457(k, M, y[50], y[43], y[0], y[2]) +1*v_463(k, M, y[50], y[3], y[32], y[2]) +1*v_483(k, M, y[42], y[51], y[0], y[2]) +1*v_493(k, M, y[40], y[29], y[1], y[2]) +1*v_497(k, M, y[3], y[52], y[4], y[2]) +1*v_505(k, M, y[0], y[52], y[53], y[2]) +1*v_509(k, M, y[0], y[3], y[53], y[2]) +1*v_519(k, M, y[0], y[25], y[52], y[2]) +1*v_531(k, M, y[0], y[55], y[2], y[56]) +1*v_599(k, M, y[23], y[22], y[0], y[2]) +1*v_601(k, M, y[23], y[19], y[0], y[2]) -1*v_621(k, M, y[0], y[65], y[2]) -1*v_637(k, M, y[7], y[2], y[66]) +1*v_637(k, M, y[7], y[2], y[66]) -1*v_645(k, M, y[67], y[29], y[0], y[2]) +1*v_653(k, M, y[0], y[8], y[2], y[66]) +1*v_661(k, M, y[0], y[3], y[2]) -1*v_697(k, M, y[5], y[19], y[2]) -1*v_783(k, M, y[0], y[3], y[2]) -1*v_785(k, M, y[65], y[1], y[2]) -1*v_787(k, M, y[3], y[4], y[2])
+ dydt[3] = +1*v_1(k, M, y[0], y[3], y[1], y[2]) +1*v_3(k, M, y[0], y[4], y[1], y[3]) -1*v_7(k, M, y[3], y[5], y[1], y[6]) -1*v_9(k, M, y[3], y[5], y[7], y[1]) +1*v_11(k, M, y[8], y[7], y[1], y[3]) -1*v_13(k, M, y[8], y[3], y[1], y[9]) +1*v_15(k, M, y[5], y[10], y[3], y[6]) +1*v_17(k, M, y[8], y[3], y[11], y[6]) +1*v_19(k, M, y[12], y[3], y[11], y[1]) +1*v_21(k, M, y[5], y[7], y[11], y[3]) -1*v_23(k, M, y[3], y[1], y[13], y[11]) +1*v_25(k, M, y[13], y[1], y[14], y[3]) +1*v_27(k, M, y[5], y[14], y[3], y[9]) +1*v_29(k, M, y[8], y[7], y[14], y[3]) -1*v_31(k, M, y[8], y[3], y[15]) -1*v_33(k, M, y[3], y[1], y[15], y[14]) -1*v_35(k, M, y[3], y[16], y[15], y[1]) +1*v_37(k, M, y[0], y[3], y[18], y[17]) +1*v_43(k, M, y[7], y[11], y[3]) +1*v_43(k, M, y[7], y[11], y[3]) +1*v_47(k, M, y[7], y[13], y[3]) +1*v_73(k, M, y[12], y[3], y[10], y[1]) +1*v_103(k, M, y[4], y[5], y[17], y[3]) +1*v_111(k, M, y[0], y[3], y[17], y[6]) -1*v_121(k, M, y[0], y[19], y[8], y[3]) -1*v_123(k, M, y[20], y[1], y[21], y[3]) -1*v_131(k, M, y[3], y[1], y[21], y[17]) +1*v_137(k, M, y[8], y[4], y[20], y[3]) -1*v_143(k, M, y[23], y[3], y[22], y[1]) -1*v_145(k, M, y[23], y[3], y[8], y[2]) +1*v_147(k, M, y[7], y[17], y[4], y[3]) +1*v_147(k, M, y[7], y[17], y[4], y[3]) +1*v_149(k, M, y[0], y[7], y[20], y[3]) -1*v_155(k, M, y[23], y[3], y[19], y[1]) -1*v_193(k, M, y[8], y[3], y[21], y[24]) +1*v_197(k, M, y[0], y[4], y[25], y[3]) -1*v_199(k, M, y[22], y[3], y[1], y[20]) -1*v_201(k, M, y[8], y[3], y[17], y[26]) +1*v_203(k, M, y[4], y[13], y[3], y[26]) +1*v_205(k, M, y[4], y[11], y[3], y[27]) -1*v_207(k, M, y[3], y[7], y[17], y[27]) +1*v_219(k, M, y[5], y[30], y[3], y[28]) +1*v_223(k, M, y[7], y[31], y[3], y[28]) +1*v_227(k, M, y[0], y[3], y[32], y[28]) -1*v_229(k, M, y[3], y[29], y[1], y[28]) -1*v_231(k, M, y[3], y[29], y[1], y[33]) +1*v_233(k, M, y[3], y[1], y[31], y[30]) +1*v_259(k, M, y[4], y[29], y[32], y[3]) +1*v_281(k, M, y[34], y[29], y[3], y[28]) +1*v_301(k, M, y[3], y[29], y[30], y[6]) +1*v_305(k, M, y[3], y[35], y[1], y[33]) +1*v_323(k, M, y[3], y[29], y[33], y[36]) -1*v_329(k, M, y[37], y[3], y[1], y[36]) -1*v_335(k, M, y[38], y[3], y[1], y[36]) -1*v_343(k, M, y[37], y[3], y[1], y[34]) +1*v_361(k, M, y[42], y[7], y[32], y[3]) -1*v_363(k, M, y[42], y[3], y[33], y[17]) +1*v_365(k, M, y[0], y[31], y[42], y[3]) +1*v_367(k, M, y[8], y[3], y[41], y[28]) -1*v_379(k, M, y[39], y[3], y[1], y[38]) -1*v_405(k, M, y[0], y[3], y[34], y[44]) +1*v_407(k, M, y[3], y[29], y[32], y[44]) +1*v_417(k, M, y[12], y[3], y[11], y[45]) -1*v_419(k, M, y[47], y[3], y[46], y[1]) -1*v_427(k, M, y[48], y[46], y[1], y[3]) -1*v_429(k, M, y[47], y[3], y[41], y[1]) +1*v_433(k, M, y[8], y[3], y[46], y[33]) -1*v_437(k, M, y[38], y[3], y[33]) +1*v_439(k, M, y[20], y[5], y[3], y[2]) +1*v_441(k, M, y[4], y[49], y[15], y[3]) -1*v_443(k, M, y[3], y[49], y[1], y[24]) +1*v_445(k, M, y[0], y[40], y[29], y[3]) -1*v_451(k, M, y[40], y[1], y[32], y[3]) -1*v_459(k, M, y[50], y[3], y[0], y[40]) -1*v_461(k, M, y[50], y[3], y[43], y[1]) -1*v_463(k, M, y[50], y[3], y[32], y[2]) +1*v_475(k, M, y[51], y[31], y[3], y[4]) +1*v_477(k, M, y[0], y[3], y[51], y[30]) -1*v_479(k, M, y[42], y[3], y[51], y[1]) +1*v_491(k, M, y[4], y[3], y[33], y[40]) -1*v_495(k, M, y[0], y[3], y[52]) -1*v_497(k, M, y[3], y[52], y[4], y[2]) -1*v_499(k, M, y[3], y[1], y[25], y[52]) -1*v_507(k, M, y[3], y[1], y[52], y[53]) -1*v_509(k, M, y[0], y[3], y[53], y[2]) -1*v_521(k, M, y[3], y[1], y[41], y[31]) +1*v_523(k, M, y[54], y[11], y[30], y[3]) +1*v_525(k, M, y[12], y[31], y[54], y[3]) -1*v_527(k, M, y[8], y[3], y[31], y[55]) -1*v_529(k, M, y[3], y[1], y[55], y[56]) +1*v_535(k, M, y[57], y[3], y[30], y[14]) +1*v_537(k, M, y[57], y[31], y[13], y[3]) +1*v_543(k, M, y[13], y[3], y[28], y[56]) +1*v_563(k, M, y[54], y[59], y[3], y[28]) +1*v_567(k, M, y[7], y[11], y[3], y[58]) +1*v_569(k, M, y[12], y[7], y[3], y[59]) +1*v_571(k, M, y[5], y[11], y[3], y[59]) +1*v_573(k, M, y[8], y[58], y[12], y[3]) +1*v_581(k, M, y[8], y[3], y[11], y[60]) +1*v_583(k, M, y[5], y[61], y[58], y[3]) +1*v_585(k, M, y[12], y[62], y[15], y[3]) +1*v_587(k, M, y[62], y[3], y[11], y[63]) +1*v_589(k, M, y[63], y[1], y[64], y[3]) +1*v_611(k, M, y[8], y[3], y[30], y[56]) +1*v_617(k, M, y[0], y[65], y[1], y[3]) +1*v_633(k, M, y[8], y[3], y[1], y[66]) +1*v_641(k, M, y[58], y[11], y[3], y[66]) +1*v_643(k, M, y[67], y[3], y[29], y[1]) -1*v_657(k, M, y[3], y[1]) -1*v_657(k, M, y[3], y[1]) -1*v_659(k, M, y[0], y[3], y[4]) -1*v_661(k, M, y[0], y[3], y[2]) -1*v_663(k, M, y[3], y[5], y[7]) -1*v_665(k, M, y[8], y[3], y[9]) -1*v_667(k, M, y[13], y[3], y[11]) -1*v_669(k, M, y[3], y[13], y[14]) -1*v_671(k, M, y[3], y[15], y[14]) -1*v_673(k, M, y[3], y[16], y[15]) +1*v_677(k, M, y[5], y[3], y[6]) -1*v_679(k, M, y[8], y[7], y[3]) -1*v_685(k, M, y[12], y[3], y[11]) +1*v_693(k, M, y[20], y[19], y[3]) -1*v_695(k, M, y[3], y[21], y[17]) +1*v_699(k, M, y[22], y[3], y[20]) -1*v_701(k, M, y[23], y[19], y[3]) -1*v_707(k, M, y[20], y[3], y[21]) -1*v_711(k, M, y[3], y[35], y[33]) -1*v_713(k, M, y[3], y[30], y[31]) +1*v_719(k, M, y[38], y[3], y[36]) -1*v_721(k, M, y[31], y[41], y[3]) +1*v_731(k, M, y[37], y[34], y[3]) -1*v_735(k, M, y[3], y[32], y[40]) -1*v_745(k, M, y[3], y[25], y[52]) -1*v_747(k, M, y[3], y[55], y[56]) -1*v_749(k, M, y[3], y[58], y[59]) +1*v_753(k, M, y[37], y[3], y[36]) -1*v_755(k, M, y[58], y[60], y[3]) -1*v_759(k, M, y[3], y[63], y[64]) -1*v_761(k, M, y[3], y[61], y[45]) +1*v_767(k, M, y[12], y[3], y[10]) +1*v_771(k, M, y[28], y[29], y[3]) +1*v_777(k, M, y[42], y[3], y[51]) +1*v_783(k, M, y[0], y[3], y[2]) +1*v_787(k, M, y[3], y[4], y[2]) +1*v_787(k, M, y[3], y[4], y[2]) +1*v_789(k, M, y[8], y[3], y[9]) +1*v_793(k, M, y[3], y[9], y[66]) +1*v_793(k, M, y[3], y[9], y[66]) +1*v_795(k, M, y[5], y[1], y[3], y[9]) +1*v_799(k, M, y[8], y[3], y[66]) +1*v_803(k, M, y[3], y[1]) +1*v_803(k, M, y[3], y[1]) +1*v_805(k, M, y[12], y[3], y[11]) +1*v_813(k, M, y[3], y[11], y[14]) +1*v_813(k, M, y[3], y[11], y[14]) +1*v_815(k, M, y[13], y[14], y[3]) +1*v_819(k, M, y[3], y[16], y[14]) +1*v_819(k, M, y[3], y[16], y[14]) +1*v_827(k, M, y[0], y[3], y[4]) +1*v_829(k, M, y[3], y[21], y[17]) +1*v_833(k, M, y[20], y[21], y[3]) +1*v_839(k, M, y[23], y[22], y[3]) +1*v_847(k, M, y[3], y[33], y[35]) +1*v_849(k, M, y[3], y[29], y[35]) +1*v_849(k, M, y[3], y[29], y[35]) +1*v_851(k, M, y[31], y[30], y[3]) +1*v_857(k, M, y[39], y[3], y[38]) +1*v_861(k, M, y[42], y[3], y[51]) +1*v_871(k, M, y[7], y[5], y[3]) +1*v_873(k, M, y[64], y[63], y[3])
+ dydt[4] = -1*v_3(k, M, y[0], y[4], y[1], y[3]) -1*v_5(k, M, y[0], y[4], y[2]) -1*v_41(k, M, y[4], y[10], y[17], y[6]) -1*v_57(k, M, y[4], y[7], y[11], y[17]) -1*v_81(k, M, y[12], y[4], y[5], y[17]) +1*v_83(k, M, y[12], y[4], y[11], y[0]) -1*v_101(k, M, y[0], y[5], y[4], y[6]) -1*v_103(k, M, y[4], y[5], y[17], y[3]) -1*v_105(k, M, y[8], y[4], y[7], y[0]) +1*v_107(k, M, y[8], y[4], y[9], y[0]) -1*v_109(k, M, y[0], y[4], y[16], y[15]) -1*v_125(k, M, y[21], y[4], y[8], y[14]) -1*v_137(k, M, y[8], y[4], y[20], y[3]) -1*v_139(k, M, y[22], y[4], y[20], y[0]) -1*v_147(k, M, y[7], y[17], y[4], y[3]) -1*v_167(k, M, y[0], y[4], y[13], y[11]) -1*v_173(k, M, y[4], y[7], y[1], y[17]) -1*v_197(k, M, y[0], y[4], y[25], y[3]) -1*v_203(k, M, y[4], y[13], y[3], y[26]) -1*v_205(k, M, y[4], y[11], y[3], y[27]) -1*v_209(k, M, y[20], y[4], y[21], y[0]) -1*v_257(k, M, y[0], y[4], y[29], y[28]) -1*v_259(k, M, y[4], y[29], y[32], y[3]) -1*v_261(k, M, y[0], y[4], y[33], y[35]) +1*v_265(k, M, y[0], y[4], y[30], y[31]) +1*v_271(k, M, y[0], y[4], y[29], y[33]) -1*v_275(k, M, y[4], y[30], y[17], y[28]) +1*v_279(k, M, y[34], y[32], y[28], y[4]) +1*v_287(k, M, y[4], y[30], y[32], y[6]) +1*v_289(k, M, y[5], y[31], y[32], y[4]) -1*v_309(k, M, y[4], y[1], y[32], y[33]) -1*v_321(k, M, y[31], y[29], y[17], y[4]) -1*v_337(k, M, y[38], y[4], y[0], y[36]) -1*v_347(k, M, y[37], y[4], y[34], y[0]) -1*v_355(k, M, y[37], y[4], y[0], y[36]) -1*v_373(k, M, y[37], y[4], y[29], y[32]) -1*v_381(k, M, y[22], y[4], y[8], y[25]) +1*v_383(k, M, y[4], y[25], y[17], y[6]) +1*v_393(k, M, y[4], y[32], y[25], y[28]) +1*v_397(k, M, y[40], y[29], y[25], y[4]) -1*v_401(k, M, y[4], y[43], y[25], y[32]) -1*v_403(k, M, y[4], y[25], y[34], y[44]) -1*v_441(k, M, y[4], y[49], y[15], y[3]) -1*v_449(k, M, y[0], y[40], y[32], y[4]) -1*v_475(k, M, y[51], y[31], y[3], y[4]) -1*v_481(k, M, y[42], y[4], y[51], y[0]) -1*v_491(k, M, y[4], y[3], y[33], y[40]) +1*v_497(k, M, y[3], y[52], y[4], y[2]) -1*v_503(k, M, y[0], y[4], y[52], y[53]) -1*v_511(k, M, y[0], y[4], y[25], y[52]) -1*v_533(k, M, y[0], y[55], y[4], y[56]) -1*v_545(k, M, y[21], y[4], y[31], y[56]) -1*v_595(k, M, y[20], y[4], y[7], y[14]) -1*v_597(k, M, y[4], y[13], y[21], y[7]) +1*v_607(k, M, y[4], y[43], y[28], y[44]) +1*v_623(k, M, y[65], y[4], y[18]) +1*v_631(k, M, y[65], y[34], y[4]) +1*v_649(k, M, y[67], y[4], y[32], y[25]) -1*v_659(k, M, y[0], y[3], y[4]) -1*v_691(k, M, y[4], y[18], y[17]) -1*v_727(k, M, y[4], y[43], y[32]) +1*v_729(k, M, y[34], y[4], y[44]) -1*v_769(k, M, y[4], y[17], y[6]) -1*v_773(k, M, y[4], y[32], y[28]) -1*v_775(k, M, y[4], y[25]) -1*v_775(k, M, y[4], y[25]) +1*v_787(k, M, y[3], y[4], y[2]) +1*v_801(k, M, y[4], y[17], y[6]) +1*v_807(k, M, y[4], y[17], y[18]) +1*v_827(k, M, y[0], y[3], y[4]) +1*v_853(k, M, y[4], y[32], y[28]) +1*v_855(k, M, y[4], y[43], y[32]) +1*v_863(k, M, y[0], y[4], y[52]) +1*v_865(k, M, y[4], y[25]) +1*v_865(k, M, y[4], y[25]) +1*v_867(k, M, y[65], y[4], y[25])
+ dydt[5] = -1*v_7(k, M, y[3], y[5], y[1], y[6]) +1*v_9(k, M, y[3], y[5], y[7], y[1]) -1*v_15(k, M, y[5], y[10], y[3], y[6]) -1*v_21(k, M, y[5], y[7], y[11], y[3]) -1*v_27(k, M, y[5], y[14], y[3], y[9]) -1*v_39(k, M, y[8], y[5], y[11], y[1]) +1*v_45(k, M, y[8], y[7], y[5]) +1*v_77(k, M, y[12], y[7], y[5], y[11]) +1*v_81(k, M, y[12], y[4], y[5], y[17]) -1*v_101(k, M, y[0], y[5], y[4], y[6]) -1*v_103(k, M, y[4], y[5], y[17], y[3]) +1*v_113(k, M, y[0], y[7], y[5], y[2]) -1*v_135(k, M, y[5], y[21], y[17], y[18]) -1*v_169(k, M, y[8], y[5], y[11], y[14]) -1*v_217(k, M, y[5], y[29], y[28], y[6]) -1*v_219(k, M, y[5], y[30], y[3], y[28]) +1*v_221(k, M, y[7], y[5], y[29], y[28]) +1*v_235(k, M, y[7], y[5], y[30], y[31]) -1*v_289(k, M, y[5], y[31], y[32], y[4]) -1*v_291(k, M, y[5], y[29], y[32], y[17]) -1*v_315(k, M, y[5], y[33], y[7], y[35]) -1*v_439(k, M, y[20], y[5], y[3], y[2]) -1*v_571(k, M, y[5], y[11], y[3], y[59]) -1*v_583(k, M, y[5], y[61], y[58], y[3]) -1*v_663(k, M, y[3], y[5], y[7]) -1*v_677(k, M, y[5], y[3], y[6]) -1*v_681(k, M, y[8], y[5], y[1]) -1*v_697(k, M, y[5], y[19], y[2]) +1*v_795(k, M, y[5], y[1], y[3], y[9]) +1*v_797(k, M, y[8], y[5], y[1]) +1*v_871(k, M, y[7], y[5], y[3])
+ dydt[6] = +1*v_7(k, M, y[3], y[5], y[1], y[6]) -1*v_15(k, M, y[5], y[10], y[3], y[6]) -1*v_17(k, M, y[8], y[3], y[11], y[6]) +1*v_41(k, M, y[4], y[10], y[17], y[6]) +1*v_101(k, M, y[0], y[5], y[4], y[6]) -1*v_111(k, M, y[0], y[3], y[17], y[6]) +1*v_217(k, M, y[5], y[29], y[28], y[6]) +1*v_225(k, M, y[10], y[30], y[28], y[6]) +1*v_283(k, M, y[34], y[30], y[28], y[6]) -1*v_287(k, M, y[4], y[30], y[32], y[6]) -1*v_301(k, M, y[3], y[29], y[30], y[6]) -1*v_383(k, M, y[4], y[25], y[17], y[6]) -1*v_593(k, M, y[11], y[59], y[6]) -1*v_675(k, M, y[7], y[1], y[6]) +1*v_677(k, M, y[5], y[3], y[6]) -1*v_739(k, M, y[10], y[6]) -1*v_739(k, M, y[10], y[6]) -1*v_769(k, M, y[4], y[17], y[6]) +1*v_801(k, M, y[4], y[17], y[6])
+ dydt[7] = -1*v_9(k, M, y[3], y[5], y[7], y[1]) -1*v_11(k, M, y[8], y[7], y[1], y[3]) -1*v_21(k, M, y[5], y[7], y[11], y[3]) -1*v_29(k, M, y[8], y[7], y[14], y[3]) -1*v_43(k, M, y[7], y[11], y[3]) -1*v_43(k, M, y[7], y[11], y[3]) -1*v_45(k, M, y[8], y[7], y[5]) -1*v_45(k, M, y[8], y[7], y[5]) -1*v_47(k, M, y[7], y[13], y[3]) -1*v_47(k, M, y[7], y[13], y[3]) -1*v_49(k, M, y[8], y[7], y[9]) -1*v_51(k, M, y[8], y[7], y[15], y[14]) +1*v_53(k, M, y[8], y[7], y[0], y[2]) +1*v_55(k, M, y[12], y[7], y[17], y[0]) +1*v_57(k, M, y[4], y[7], y[11], y[17]) +1*v_59(k, M, y[8], y[7], y[12], y[11]) -1*v_77(k, M, y[12], y[7], y[5], y[11]) +1*v_105(k, M, y[8], y[4], y[7], y[0]) -1*v_113(k, M, y[0], y[7], y[5], y[2]) -1*v_147(k, M, y[7], y[17], y[4], y[3]) -1*v_149(k, M, y[0], y[7], y[20], y[3]) -1*v_151(k, M, y[20], y[7], y[17], y[18]) -1*v_171(k, M, y[8], y[7], y[13], y[11]) -1*v_173(k, M, y[4], y[7], y[1], y[17]) -1*v_175(k, M, y[8], y[7], y[21], y[17]) -1*v_177(k, M, y[0], y[19], y[7], y[14]) -1*v_179(k, M, y[20], y[19], y[7], y[8]) -1*v_181(k, M, y[22], y[7], y[8], y[20]) -1*v_183(k, M, y[23], y[7], y[22], y[8]) -1*v_185(k, M, y[23], y[7], y[19], y[8]) +1*v_207(k, M, y[3], y[7], y[17], y[27]) -1*v_221(k, M, y[7], y[5], y[29], y[28]) -1*v_223(k, M, y[7], y[31], y[3], y[28]) -1*v_235(k, M, y[7], y[5], y[30], y[31]) +1*v_241(k, M, y[8], y[7], y[30], y[31]) -1*v_285(k, M, y[29], y[34], y[7], y[31]) +1*v_315(k, M, y[5], y[33], y[7], y[35]) -1*v_361(k, M, y[42], y[7], y[32], y[3]) +1*v_371(k, M, y[8], y[7], y[35], y[33]) -1*v_385(k, M, y[7], y[25], y[2], y[17]) -1*v_565(k, M, y[7], y[1], y[11], y[59]) -1*v_567(k, M, y[7], y[11], y[3], y[58]) -1*v_569(k, M, y[12], y[7], y[3], y[59]) +1*v_595(k, M, y[20], y[4], y[7], y[14]) +1*v_597(k, M, y[4], y[13], y[21], y[7]) +1*v_635(k, M, y[7], y[1], y[66]) +1*v_637(k, M, y[7], y[2], y[66]) +1*v_639(k, M, y[7], y[17], y[66]) +1*v_663(k, M, y[3], y[5], y[7]) +1*v_675(k, M, y[7], y[1], y[6]) -1*v_679(k, M, y[8], y[7], y[3]) -1*v_757(k, M, y[7], y[11], y[60]) -1*v_871(k, M, y[7], y[5], y[3])
+ dydt[8] = +1*v_11(k, M, y[8], y[7], y[1], y[3]) +1*v_13(k, M, y[8], y[3], y[1], y[9]) -1*v_17(k, M, y[8], y[3], y[11], y[6]) -1*v_29(k, M, y[8], y[7], y[14], y[3]) +1*v_31(k, M, y[8], y[3], y[15]) +1*v_31(k, M, y[8], y[3], y[15]) -1*v_39(k, M, y[8], y[5], y[11], y[1]) +1*v_45(k, M, y[8], y[7], y[5]) +1*v_49(k, M, y[8], y[7], y[9]) +1*v_49(k, M, y[8], y[7], y[9]) +1*v_51(k, M, y[8], y[7], y[15], y[14]) -1*v_53(k, M, y[8], y[7], y[0], y[2]) -1*v_59(k, M, y[8], y[7], y[12], y[11]) +1*v_61(k, M, y[12], y[8], y[11], y[9]) -1*v_63(k, M, y[8], y[13], y[11], y[9]) +1*v_65(k, M, y[8], y[13], y[14], y[9]) -1*v_67(k, M, y[8], y[15], y[14], y[9]) -1*v_69(k, M, y[8], y[16], y[15], y[9]) +1*v_71(k, M, y[0], y[8], y[11], y[17]) +1*v_75(k, M, y[8], y[12], y[10], y[9]) -1*v_105(k, M, y[8], y[4], y[7], y[0]) -1*v_107(k, M, y[8], y[4], y[9], y[0]) +1*v_115(k, M, y[0], y[8], y[9], y[2]) +1*v_121(k, M, y[0], y[19], y[8], y[3]) +1*v_125(k, M, y[21], y[4], y[8], y[14]) -1*v_127(k, M, y[8], y[20], y[21], y[9]) -1*v_129(k, M, y[8], y[19], y[20], y[9]) -1*v_137(k, M, y[8], y[4], y[20], y[3]) +1*v_145(k, M, y[23], y[3], y[8], y[2]) +1*v_153(k, M, y[22], y[8], y[18], y[17]) +1*v_169(k, M, y[8], y[5], y[11], y[14]) +1*v_171(k, M, y[8], y[7], y[13], y[11]) +1*v_175(k, M, y[8], y[7], y[21], y[17]) +1*v_179(k, M, y[20], y[19], y[7], y[8]) +1*v_181(k, M, y[22], y[7], y[8], y[20]) +1*v_183(k, M, y[23], y[7], y[22], y[8]) +1*v_185(k, M, y[23], y[7], y[19], y[8]) -1*v_187(k, M, y[8], y[21], y[9], y[17]) -1*v_189(k, M, y[22], y[20], y[8], y[9]) -1*v_191(k, M, y[23], y[22], y[8], y[9]) +1*v_193(k, M, y[8], y[3], y[21], y[24]) -1*v_195(k, M, y[8], y[16], y[24], y[17]) +1*v_201(k, M, y[8], y[3], y[17], y[26]) -1*v_237(k, M, y[8], y[29], y[28], y[9]) -1*v_239(k, M, y[8], y[29], y[9], y[33]) -1*v_241(k, M, y[8], y[7], y[30], y[31]) +1*v_243(k, M, y[8], y[31], y[30], y[9]) -1*v_293(k, M, y[8], y[31], y[32], y[2]) +1*v_307(k, M, y[8], y[35], y[9], y[33]) -1*v_331(k, M, y[8], y[37], y[9], y[36]) -1*v_367(k, M, y[8], y[3], y[41], y[28]) -1*v_369(k, M, y[8], y[31], y[1], y[28]) -1*v_371(k, M, y[8], y[7], y[35], y[33]) -1*v_377(k, M, y[8], y[41], y[32], y[0]) +1*v_381(k, M, y[22], y[4], y[8], y[25]) -1*v_387(k, M, y[8], y[20], y[25], y[0]) -1*v_413(k, M, y[8], y[22], y[43], y[32]) -1*v_423(k, M, y[8], y[46], y[15], y[33]) -1*v_431(k, M, y[8], y[47], y[1], y[33]) -1*v_433(k, M, y[8], y[3], y[46], y[33]) -1*v_435(k, M, y[8], y[48], y[46], y[9]) -1*v_513(k, M, y[8], y[25], y[52], y[9]) +1*v_527(k, M, y[8], y[3], y[31], y[55]) +1*v_547(k, M, y[8], y[53], y[52], y[9]) +1*v_553(k, M, y[12], y[58], y[8], y[15]) +1*v_555(k, M, y[8], y[13], y[58]) -1*v_573(k, M, y[8], y[58], y[12], y[3]) -1*v_579(k, M, y[38], y[8], y[9], y[36]) -1*v_581(k, M, y[8], y[3], y[11], y[60]) +1*v_591(k, M, y[8], y[63], y[64], y[9]) -1*v_611(k, M, y[8], y[3], y[30], y[56]) +1*v_619(k, M, y[0], y[65], y[8], y[9]) +1*v_633(k, M, y[8], y[3], y[1], y[66]) -1*v_653(k, M, y[0], y[8], y[2], y[66]) -1*v_665(k, M, y[8], y[3], y[9]) +1*v_679(k, M, y[8], y[7], y[3]) +1*v_681(k, M, y[8], y[5], y[1]) -1*v_683(k, M, y[8], y[16]) -1*v_683(k, M, y[8], y[16]) -1*v_705(k, M, y[8], y[24], y[17]) -1*v_733(k, M, y[8], y[48], y[33]) -1*v_781(k, M, y[0], y[8], y[23]) +1*v_789(k, M, y[8], y[3], y[9]) -1*v_797(k, M, y[8], y[5], y[1]) -1*v_799(k, M, y[8], y[3], y[66]) +1*v_825(k, M, y[8], y[16]) +1*v_825(k, M, y[8], y[16]) +1*v_835(k, M, y[23], y[8], y[0]) +1*v_843(k, M, y[8], y[49], y[21])
+ dydt[9] = -1*v_13(k, M, y[8], y[3], y[1], y[9]) -1*v_27(k, M, y[5], y[14], y[3], y[9]) -1*v_49(k, M, y[8], y[7], y[9]) -1*v_61(k, M, y[12], y[8], y[11], y[9]) +1*v_63(k, M, y[8], y[13], y[11], y[9]) -1*v_65(k, M, y[8], y[13], y[14], y[9]) +1*v_67(k, M, y[8], y[15], y[14], y[9]) +1*v_69(k, M, y[8], y[16], y[15], y[9]) -1*v_75(k, M, y[8], y[12], y[10], y[9]) +1*v_107(k, M, y[8], y[4], y[9], y[0]) -1*v_115(k, M, y[0], y[8], y[9], y[2]) +1*v_127(k, M, y[8], y[20], y[21], y[9]) +1*v_129(k, M, y[8], y[19], y[20], y[9]) +1*v_187(k, M, y[8], y[21], y[9], y[17]) +1*v_189(k, M, y[22], y[20], y[8], y[9]) +1*v_191(k, M, y[23], y[22], y[8], y[9]) +1*v_237(k, M, y[8], y[29], y[28], y[9]) +1*v_239(k, M, y[8], y[29], y[9], y[33]) -1*v_243(k, M, y[8], y[31], y[30], y[9]) -1*v_307(k, M, y[8], y[35], y[9], y[33]) +1*v_331(k, M, y[8], y[37], y[9], y[36]) +1*v_435(k, M, y[8], y[48], y[46], y[9]) +1*v_513(k, M, y[8], y[25], y[52], y[9]) -1*v_547(k, M, y[8], y[53], y[52], y[9]) +1*v_579(k, M, y[38], y[8], y[9], y[36]) -1*v_591(k, M, y[8], y[63], y[64], y[9]) -1*v_619(k, M, y[0], y[65], y[8], y[9]) +1*v_665(k, M, y[8], y[3], y[9]) -1*v_789(k, M, y[8], y[3], y[9]) -1*v_791(k, M, y[1], y[9], y[66]) -1*v_793(k, M, y[3], y[9], y[66]) -1*v_795(k, M, y[5], y[1], y[3], y[9]) +1*v_823(k, M, y[16], y[9], y[66]) +1*v_841(k, M, y[49], y[17], y[9])
+ dydt[10] = +1*v_15(k, M, y[5], y[10], y[3], y[6]) -1*v_41(k, M, y[4], y[10], y[17], y[6]) -1*v_73(k, M, y[12], y[3], y[10], y[1]) -1*v_75(k, M, y[8], y[12], y[10], y[9]) -1*v_225(k, M, y[10], y[30], y[28], y[6]) -1*v_245(k, M, y[34], y[10], y[30]) -1*v_539(k, M, y[57], y[31], y[10], y[45]) -1*v_541(k, M, y[57], y[54], y[10], y[11]) +1*v_739(k, M, y[10], y[6]) +1*v_767(k, M, y[12], y[3], y[10]) +1*v_869(k, M, y[10], y[11], y[45])
+ dydt[11] = +1*v_17(k, M, y[8], y[3], y[11], y[6]) +1*v_19(k, M, y[12], y[3], y[11], y[1]) +1*v_21(k, M, y[5], y[7], y[11], y[3]) +1*v_23(k, M, y[3], y[1], y[13], y[11]) +1*v_39(k, M, y[8], y[5], y[11], y[1]) +1*v_43(k, M, y[7], y[11], y[3]) -1*v_57(k, M, y[4], y[7], y[11], y[17]) +1*v_59(k, M, y[8], y[7], y[12], y[11]) +1*v_61(k, M, y[12], y[8], y[11], y[9]) +1*v_63(k, M, y[8], y[13], y[11], y[9]) -1*v_71(k, M, y[0], y[8], y[11], y[17]) +1*v_77(k, M, y[12], y[7], y[5], y[11]) +1*v_79(k, M, y[12], y[16], y[11], y[15]) +1*v_83(k, M, y[12], y[4], y[11], y[0]) +1*v_85(k, M, y[12], y[0], y[11], y[2]) +1*v_87(k, M, y[13], y[11], y[14]) +1*v_91(k, M, y[13], y[16], y[15], y[11]) +1*v_117(k, M, y[0], y[13], y[11], y[2]) +1*v_157(k, M, y[12], y[11], y[21], y[17]) +1*v_159(k, M, y[12], y[19], y[11], y[20]) +1*v_161(k, M, y[22], y[20], y[12], y[11]) +1*v_163(k, M, y[23], y[19], y[12], y[11]) +1*v_165(k, M, y[23], y[22], y[12], y[11]) +1*v_167(k, M, y[0], y[4], y[13], y[11]) +1*v_169(k, M, y[8], y[5], y[11], y[14]) +1*v_171(k, M, y[8], y[7], y[13], y[11]) -1*v_205(k, M, y[4], y[11], y[3], y[27]) +1*v_247(k, M, y[12], y[29], y[11], y[33]) +1*v_249(k, M, y[13], y[35], y[11], y[33]) -1*v_417(k, M, y[12], y[3], y[11], y[45]) -1*v_523(k, M, y[54], y[11], y[30], y[3]) +1*v_541(k, M, y[57], y[54], y[10], y[11]) -1*v_565(k, M, y[7], y[1], y[11], y[59]) -1*v_567(k, M, y[7], y[11], y[3], y[58]) -1*v_571(k, M, y[5], y[11], y[3], y[59]) -1*v_581(k, M, y[8], y[3], y[11], y[60]) -1*v_587(k, M, y[62], y[3], y[11], y[63]) -1*v_593(k, M, y[11], y[59], y[6]) -1*v_641(k, M, y[58], y[11], y[3], y[66]) -1*v_667(k, M, y[13], y[3], y[11]) +1*v_685(k, M, y[12], y[3], y[11]) +1*v_687(k, M, y[1], y[11], y[14]) -1*v_703(k, M, y[0], y[11], y[24]) -1*v_757(k, M, y[7], y[11], y[60]) -1*v_763(k, M, y[61], y[11], y[64]) -1*v_765(k, M, y[62], y[13], y[11]) -1*v_805(k, M, y[12], y[3], y[11]) +1*v_811(k, M, y[1], y[11], y[14]) +1*v_813(k, M, y[3], y[11], y[14]) +1*v_821(k, M, y[1], y[16], y[11]) +1*v_869(k, M, y[10], y[11], y[45])
+ dydt[12] = -1*v_19(k, M, y[12], y[3], y[11], y[1]) -1*v_55(k, M, y[12], y[7], y[17], y[0]) -1*v_59(k, M, y[8], y[7], y[12], y[11]) -1*v_61(k, M, y[12], y[8], y[11], y[9]) +1*v_73(k, M, y[12], y[3], y[10], y[1]) +1*v_75(k, M, y[8], y[12], y[10], y[9]) -1*v_77(k, M, y[12], y[7], y[5], y[11]) -1*v_79(k, M, y[12], y[16], y[11], y[15]) -1*v_81(k, M, y[12], y[4], y[5], y[17]) -1*v_83(k, M, y[12], y[4], y[11], y[0]) -1*v_85(k, M, y[12], y[0], y[11], y[2]) -1*v_157(k, M, y[12], y[11], y[21], y[17]) -1*v_159(k, M, y[12], y[19], y[11], y[20]) -1*v_161(k, M, y[22], y[20], y[12], y[11]) -1*v_163(k, M, y[23], y[19], y[12], y[11]) -1*v_165(k, M, y[23], y[22], y[12], y[11]) -1*v_247(k, M, y[12], y[29], y[11], y[33]) -1*v_389(k, M, y[12], y[21], y[25], y[17]) -1*v_417(k, M, y[12], y[3], y[11], y[45]) -1*v_525(k, M, y[12], y[31], y[54], y[3]) -1*v_553(k, M, y[12], y[58], y[8], y[15]) -1*v_559(k, M, y[12], y[19], y[58], y[0]) -1*v_569(k, M, y[12], y[7], y[3], y[59]) -1*v_573(k, M, y[8], y[58], y[12], y[3]) -1*v_585(k, M, y[12], y[62], y[15], y[3]) -1*v_685(k, M, y[12], y[3], y[11]) -1*v_767(k, M, y[12], y[3], y[10]) +1*v_805(k, M, y[12], y[3], y[11])
+ dydt[13] = -1*v_23(k, M, y[3], y[1], y[13], y[11]) -1*v_25(k, M, y[13], y[1], y[14], y[3]) +1*v_47(k, M, y[7], y[13], y[3]) -1*v_63(k, M, y[8], y[13], y[11], y[9]) -1*v_65(k, M, y[8], y[13], y[14], y[9]) -1*v_87(k, M, y[13], y[11], y[14]) -1*v_87(k, M, y[13], y[11], y[14]) -1*v_89(k, M, y[13], y[15], y[14]) -1*v_91(k, M, y[13], y[16], y[15], y[11]) +1*v_93(k, M, y[0], y[13], y[14], y[2]) +1*v_97(k, M, y[13], y[16], y[15], y[14]) -1*v_117(k, M, y[0], y[13], y[11], y[2]) -1*v_167(k, M, y[0], y[4], y[13], y[11]) -1*v_171(k, M, y[8], y[7], y[13], y[11]) -1*v_203(k, M, y[4], y[13], y[3], y[26]) -1*v_249(k, M, y[13], y[35], y[11], y[33]) +1*v_251(k, M, y[13], y[35], y[14], y[33]) -1*v_391(k, M, y[20], y[13], y[21], y[25]) -1*v_537(k, M, y[57], y[31], y[13], y[3]) -1*v_543(k, M, y[13], y[3], y[28], y[56]) -1*v_555(k, M, y[8], y[13], y[58]) -1*v_555(k, M, y[8], y[13], y[58]) +1*v_557(k, M, y[0], y[58], y[13], y[21]) -1*v_597(k, M, y[4], y[13], y[21], y[7]) +1*v_667(k, M, y[13], y[3], y[11]) -1*v_669(k, M, y[3], y[13], y[14]) -1*v_765(k, M, y[62], y[13], y[11]) +1*v_815(k, M, y[13], y[14], y[3])
+ dydt[14] = +1*v_25(k, M, y[13], y[1], y[14], y[3]) +1*v_27(k, M, y[5], y[14], y[3], y[9]) +1*v_29(k, M, y[8], y[7], y[14], y[3]) +1*v_33(k, M, y[3], y[1], y[15], y[14]) +1*v_51(k, M, y[8], y[7], y[15], y[14]) +1*v_65(k, M, y[8], y[13], y[14], y[9]) +1*v_67(k, M, y[8], y[15], y[14], y[9]) +1*v_87(k, M, y[13], y[11], y[14]) +1*v_89(k, M, y[13], y[15], y[14]) +1*v_89(k, M, y[13], y[15], y[14]) -1*v_93(k, M, y[0], y[13], y[14], y[2]) +1*v_95(k, M, y[16], y[15], y[14]) -1*v_97(k, M, y[13], y[16], y[15], y[14]) +1*v_119(k, M, y[0], y[15], y[14], y[2]) -1*v_125(k, M, y[21], y[4], y[8], y[14]) -1*v_169(k, M, y[8], y[5], y[11], y[14]) +1*v_177(k, M, y[0], y[19], y[7], y[14]) -1*v_251(k, M, y[13], y[35], y[14], y[33]) +1*v_253(k, M, y[35], y[15], y[14], y[33]) -1*v_535(k, M, y[57], y[3], y[30], y[14]) -1*v_595(k, M, y[20], y[4], y[7], y[14]) +1*v_669(k, M, y[3], y[13], y[14]) -1*v_671(k, M, y[3], y[15], y[14]) -1*v_687(k, M, y[1], y[11], y[14]) +1*v_689(k, M, y[1], y[16], y[14]) -1*v_811(k, M, y[1], y[11], y[14]) -1*v_813(k, M, y[3], y[11], y[14]) -1*v_815(k, M, y[13], y[14], y[3]) +1*v_817(k, M, y[1], y[16], y[14]) +1*v_819(k, M, y[3], y[16], y[14])
+ dydt[15] = -1*v_31(k, M, y[8], y[3], y[15]) -1*v_33(k, M, y[3], y[1], y[15], y[14]) +1*v_35(k, M, y[3], y[16], y[15], y[1]) -1*v_51(k, M, y[8], y[7], y[15], y[14]) -1*v_67(k, M, y[8], y[15], y[14], y[9]) +1*v_69(k, M, y[8], y[16], y[15], y[9]) +1*v_79(k, M, y[12], y[16], y[11], y[15]) -1*v_89(k, M, y[13], y[15], y[14]) -1*v_91(k, M, y[13], y[16], y[15], y[11]) -1*v_95(k, M, y[16], y[15], y[14]) -1*v_95(k, M, y[16], y[15], y[14]) -1*v_97(k, M, y[13], y[16], y[15], y[14]) +1*v_99(k, M, y[0], y[16], y[15], y[2]) +1*v_109(k, M, y[0], y[4], y[16], y[15]) -1*v_119(k, M, y[0], y[15], y[14], y[2]) -1*v_253(k, M, y[35], y[15], y[14], y[33]) +1*v_255(k, M, y[16], y[35], y[15], y[33]) +1*v_319(k, M, y[31], y[16], y[30], y[15]) +1*v_423(k, M, y[8], y[46], y[15], y[33]) -1*v_441(k, M, y[4], y[49], y[15], y[3]) -1*v_515(k, M, y[16], y[25], y[15], y[52]) -1*v_553(k, M, y[12], y[58], y[8], y[15]) -1*v_585(k, M, y[12], y[62], y[15], y[3]) +1*v_615(k, M, y[0], y[65], y[16], y[15]) +1*v_671(k, M, y[3], y[15], y[14]) -1*v_673(k, M, y[3], y[16], y[15])
+ dydt[16] = -1*v_35(k, M, y[3], y[16], y[15], y[1]) -1*v_69(k, M, y[8], y[16], y[15], y[9]) -1*v_79(k, M, y[12], y[16], y[11], y[15]) +1*v_91(k, M, y[13], y[16], y[15], y[11]) +1*v_95(k, M, y[16], y[15], y[14]) +1*v_97(k, M, y[13], y[16], y[15], y[14]) -1*v_99(k, M, y[0], y[16], y[15], y[2]) -1*v_109(k, M, y[0], y[4], y[16], y[15]) +1*v_195(k, M, y[8], y[16], y[24], y[17]) -1*v_255(k, M, y[16], y[35], y[15], y[33]) -1*v_319(k, M, y[31], y[16], y[30], y[15]) +1*v_515(k, M, y[16], y[25], y[15], y[52]) -1*v_615(k, M, y[0], y[65], y[16], y[15]) +1*v_673(k, M, y[3], y[16], y[15]) +1*v_683(k, M, y[8], y[16]) -1*v_689(k, M, y[1], y[16], y[14]) -1*v_817(k, M, y[1], y[16], y[14]) -1*v_819(k, M, y[3], y[16], y[14]) -1*v_821(k, M, y[1], y[16], y[11]) -1*v_823(k, M, y[16], y[9], y[66]) -1*v_825(k, M, y[8], y[16])
+ dydt[17] = -1*v_37(k, M, y[0], y[3], y[18], y[17]) +1*v_41(k, M, y[4], y[10], y[17], y[6]) +1*v_55(k, M, y[12], y[7], y[17], y[0]) +1*v_57(k, M, y[4], y[7], y[11], y[17]) +1*v_71(k, M, y[0], y[8], y[11], y[17]) +1*v_81(k, M, y[12], y[4], y[5], y[17]) +1*v_103(k, M, y[4], y[5], y[17], y[3]) +1*v_111(k, M, y[0], y[3], y[17], y[6]) +1*v_131(k, M, y[3], y[1], y[21], y[17]) +1*v_133(k, M, y[0], y[21], y[17], y[2]) +1*v_135(k, M, y[5], y[21], y[17], y[18]) +1*v_147(k, M, y[7], y[17], y[4], y[3]) +1*v_151(k, M, y[20], y[7], y[17], y[18]) -1*v_153(k, M, y[22], y[8], y[18], y[17]) +1*v_157(k, M, y[12], y[11], y[21], y[17]) +1*v_173(k, M, y[4], y[7], y[1], y[17]) +1*v_175(k, M, y[8], y[7], y[21], y[17]) +1*v_187(k, M, y[8], y[21], y[9], y[17]) +1*v_195(k, M, y[8], y[16], y[24], y[17]) +1*v_201(k, M, y[8], y[3], y[17], y[26]) +1*v_207(k, M, y[3], y[7], y[17], y[27]) +1*v_211(k, M, y[20], y[21], y[17]) +1*v_269(k, M, y[0], y[31], y[17], y[33]) +1*v_275(k, M, y[4], y[30], y[17], y[28]) +1*v_277(k, M, y[18], y[32], y[17], y[28]) +1*v_291(k, M, y[5], y[29], y[32], y[17]) +1*v_299(k, M, y[34], y[30], y[32], y[17]) +1*v_321(k, M, y[31], y[29], y[17], y[4]) +1*v_363(k, M, y[42], y[3], y[33], y[17]) +1*v_383(k, M, y[4], y[25], y[17], y[6]) +1*v_385(k, M, y[7], y[25], y[2], y[17]) +1*v_389(k, M, y[12], y[21], y[25], y[17]) +1*v_455(k, M, y[40], y[21], y[32], y[17]) +1*v_471(k, M, y[51], y[21], y[42], y[17]) +1*v_473(k, M, y[51], y[30], y[17], y[18]) -1*v_501(k, M, y[0], y[18], y[52], y[17]) +1*v_517(k, M, y[52], y[21], y[25], y[17]) -1*v_627(k, M, y[65], y[18], y[17]) -1*v_639(k, M, y[7], y[17], y[66]) +1*v_639(k, M, y[7], y[17], y[66]) -1*v_691(k, M, y[4], y[18], y[17]) -1*v_695(k, M, y[3], y[21], y[17]) -1*v_705(k, M, y[8], y[24], y[17]) -1*v_709(k, M, y[20], y[1], y[17]) +1*v_723(k, M, y[42], y[29], y[17]) +1*v_769(k, M, y[4], y[17], y[6]) -1*v_801(k, M, y[4], y[17], y[6]) +1*v_807(k, M, y[4], y[17], y[18]) +1*v_809(k, M, y[65], y[17], y[18]) +1*v_829(k, M, y[3], y[21], y[17]) +1*v_831(k, M, y[20], y[1], y[17]) +1*v_841(k, M, y[49], y[17], y[9]) +1*v_859(k, M, y[42], y[29], y[17])
+ dydt[18] = +1*v_37(k, M, y[0], y[3], y[18], y[17]) -1*v_135(k, M, y[5], y[21], y[17], y[18]) -1*v_151(k, M, y[20], y[7], y[17], y[18]) +1*v_153(k, M, y[22], y[8], y[18], y[17]) -1*v_277(k, M, y[18], y[32], y[17], y[28]) -1*v_473(k, M, y[51], y[30], y[17], y[18]) +1*v_501(k, M, y[0], y[18], y[52], y[17]) -1*v_623(k, M, y[65], y[4], y[18]) +1*v_623(k, M, y[65], y[4], y[18]) +1*v_627(k, M, y[65], y[18], y[17]) +1*v_691(k, M, y[4], y[18], y[17]) -1*v_807(k, M, y[4], y[17], y[18]) -1*v_809(k, M, y[65], y[17], y[18])
+ dydt[19] = -1*v_121(k, M, y[0], y[19], y[8], y[3]) -1*v_129(k, M, y[8], y[19], y[20], y[9]) +1*v_155(k, M, y[23], y[3], y[19], y[1]) -1*v_159(k, M, y[12], y[19], y[11], y[20]) +1*v_163(k, M, y[23], y[19], y[12], y[11]) -1*v_177(k, M, y[0], y[19], y[7], y[14]) -1*v_179(k, M, y[20], y[19], y[7], y[8]) +1*v_185(k, M, y[23], y[7], y[19], y[8]) -1*v_213(k, M, y[22], y[19], y[23], y[20]) +1*v_425(k, M, y[0], y[19], y[46], y[33]) -1*v_559(k, M, y[12], y[19], y[58], y[0]) +1*v_601(k, M, y[23], y[19], y[0], y[2]) -1*v_693(k, M, y[20], y[19], y[3]) +1*v_697(k, M, y[5], y[19], y[2]) -1*v_701(k, M, y[23], y[19], y[3])
+ dydt[20] = -1*v_123(k, M, y[20], y[1], y[21], y[3]) -1*v_127(k, M, y[8], y[20], y[21], y[9]) +1*v_129(k, M, y[8], y[19], y[20], y[9]) +1*v_137(k, M, y[8], y[4], y[20], y[3]) +1*v_139(k, M, y[22], y[4], y[20], y[0]) +1*v_141(k, M, y[22], y[20], y[0], y[2]) +1*v_149(k, M, y[0], y[7], y[20], y[3]) +1*v_151(k, M, y[20], y[7], y[17], y[18]) +1*v_159(k, M, y[12], y[19], y[11], y[20]) +1*v_161(k, M, y[22], y[20], y[12], y[11]) +1*v_179(k, M, y[20], y[19], y[7], y[8]) +1*v_181(k, M, y[22], y[7], y[8], y[20]) +1*v_189(k, M, y[22], y[20], y[8], y[9]) +1*v_199(k, M, y[22], y[3], y[1], y[20]) -1*v_209(k, M, y[20], y[4], y[21], y[0]) +1*v_211(k, M, y[20], y[21], y[17]) +1*v_213(k, M, y[22], y[19], y[23], y[20]) +1*v_215(k, M, y[22], y[20], y[23]) +1*v_387(k, M, y[8], y[20], y[25], y[0]) +1*v_391(k, M, y[20], y[13], y[21], y[25]) +1*v_439(k, M, y[20], y[5], y[3], y[2]) +1*v_453(k, M, y[22], y[40], y[32], y[20]) +1*v_595(k, M, y[20], y[4], y[7], y[14]) -1*v_605(k, M, y[20], y[21], y[25], y[52]) +1*v_609(k, M, y[22], y[20], y[25], y[52]) +1*v_693(k, M, y[20], y[19], y[3]) +1*v_699(k, M, y[22], y[3], y[20]) +1*v_707(k, M, y[20], y[3], y[21]) +1*v_709(k, M, y[20], y[1], y[17]) -1*v_831(k, M, y[20], y[1], y[17]) -1*v_833(k, M, y[20], y[21], y[3]) +1*v_837(k, M, y[23], y[20], y[1])
+ dydt[21] = +1*v_123(k, M, y[20], y[1], y[21], y[3]) +1*v_125(k, M, y[21], y[4], y[8], y[14]) +1*v_127(k, M, y[8], y[20], y[21], y[9]) -1*v_131(k, M, y[3], y[1], y[21], y[17]) -1*v_133(k, M, y[0], y[21], y[17], y[2]) +1*v_135(k, M, y[5], y[21], y[17], y[18]) -1*v_157(k, M, y[12], y[11], y[21], y[17]) -1*v_175(k, M, y[8], y[7], y[21], y[17]) -1*v_187(k, M, y[8], y[21], y[9], y[17]) +1*v_193(k, M, y[8], y[3], y[21], y[24]) +1*v_209(k, M, y[20], y[4], y[21], y[0]) -1*v_211(k, M, y[20], y[21], y[17]) -1*v_211(k, M, y[20], y[21], y[17]) +1*v_389(k, M, y[12], y[21], y[25], y[17]) +1*v_391(k, M, y[20], y[13], y[21], y[25]) -1*v_455(k, M, y[40], y[21], y[32], y[17]) -1*v_471(k, M, y[51], y[21], y[42], y[17]) -1*v_517(k, M, y[52], y[21], y[25], y[17]) +1*v_545(k, M, y[21], y[4], y[31], y[56]) +1*v_557(k, M, y[0], y[58], y[13], y[21]) +1*v_597(k, M, y[4], y[13], y[21], y[7]) +1*v_605(k, M, y[20], y[21], y[25], y[52]) +1*v_695(k, M, y[3], y[21], y[17]) -1*v_707(k, M, y[20], y[3], y[21]) -1*v_829(k, M, y[3], y[21], y[17]) +1*v_833(k, M, y[20], y[21], y[3]) +1*v_843(k, M, y[8], y[49], y[21])
+ dydt[22] = -1*v_139(k, M, y[22], y[4], y[20], y[0]) -1*v_141(k, M, y[22], y[20], y[0], y[2]) +1*v_143(k, M, y[23], y[3], y[22], y[1]) -1*v_153(k, M, y[22], y[8], y[18], y[17]) -1*v_161(k, M, y[22], y[20], y[12], y[11]) +1*v_165(k, M, y[23], y[22], y[12], y[11]) -1*v_181(k, M, y[22], y[7], y[8], y[20]) +1*v_183(k, M, y[23], y[7], y[22], y[8]) -1*v_189(k, M, y[22], y[20], y[8], y[9]) +1*v_191(k, M, y[23], y[22], y[8], y[9]) -1*v_199(k, M, y[22], y[3], y[1], y[20]) -1*v_213(k, M, y[22], y[19], y[23], y[20]) -1*v_215(k, M, y[22], y[20], y[23]) -1*v_215(k, M, y[22], y[20], y[23]) -1*v_381(k, M, y[22], y[4], y[8], y[25]) +1*v_413(k, M, y[8], y[22], y[43], y[32]) -1*v_453(k, M, y[22], y[40], y[32], y[20]) +1*v_599(k, M, y[23], y[22], y[0], y[2]) -1*v_609(k, M, y[22], y[20], y[25], y[52]) -1*v_699(k, M, y[22], y[3], y[20]) +1*v_839(k, M, y[23], y[22], y[3])
+ dydt[23] = -1*v_143(k, M, y[23], y[3], y[22], y[1]) -1*v_145(k, M, y[23], y[3], y[8], y[2]) -1*v_155(k, M, y[23], y[3], y[19], y[1]) -1*v_163(k, M, y[23], y[19], y[12], y[11]) -1*v_165(k, M, y[23], y[22], y[12], y[11]) -1*v_183(k, M, y[23], y[7], y[22], y[8]) -1*v_185(k, M, y[23], y[7], y[19], y[8]) -1*v_191(k, M, y[23], y[22], y[8], y[9]) +1*v_213(k, M, y[22], y[19], y[23], y[20]) +1*v_215(k, M, y[22], y[20], y[23]) -1*v_599(k, M, y[23], y[22], y[0], y[2]) -1*v_601(k, M, y[23], y[19], y[0], y[2]) +1*v_701(k, M, y[23], y[19], y[3]) +1*v_781(k, M, y[0], y[8], y[23]) -1*v_835(k, M, y[23], y[8], y[0]) -1*v_837(k, M, y[23], y[20], y[1]) -1*v_839(k, M, y[23], y[22], y[3])
+ dydt[24] = -1*v_193(k, M, y[8], y[3], y[21], y[24]) -1*v_195(k, M, y[8], y[16], y[24], y[17]) +1*v_443(k, M, y[3], y[49], y[1], y[24]) +1*v_703(k, M, y[0], y[11], y[24]) +1*v_705(k, M, y[8], y[24], y[17])
+ dydt[25] = +1*v_197(k, M, y[0], y[4], y[25], y[3]) +1*v_381(k, M, y[22], y[4], y[8], y[25]) -1*v_383(k, M, y[4], y[25], y[17], y[6]) -1*v_385(k, M, y[7], y[25], y[2], y[17]) -1*v_387(k, M, y[8], y[20], y[25], y[0]) -1*v_389(k, M, y[12], y[21], y[25], y[17]) -1*v_391(k, M, y[20], y[13], y[21], y[25]) -1*v_393(k, M, y[4], y[32], y[25], y[28]) -1*v_395(k, M, y[0], y[29], y[32], y[25]) -1*v_397(k, M, y[40], y[29], y[25], y[4]) -1*v_399(k, M, y[0], y[40], y[25], y[33]) +1*v_401(k, M, y[4], y[43], y[25], y[32]) +1*v_403(k, M, y[4], y[25], y[34], y[44]) +1*v_499(k, M, y[3], y[1], y[25], y[52]) +1*v_511(k, M, y[0], y[4], y[25], y[52]) +1*v_513(k, M, y[8], y[25], y[52], y[9]) +1*v_515(k, M, y[16], y[25], y[15], y[52]) -1*v_517(k, M, y[52], y[21], y[25], y[17]) +1*v_519(k, M, y[0], y[25], y[52], y[2]) +1*v_549(k, M, y[35], y[25], y[52], y[33]) -1*v_605(k, M, y[20], y[21], y[25], y[52]) -1*v_609(k, M, y[22], y[20], y[25], y[52]) +1*v_613(k, M, y[25], y[52], y[53]) +1*v_629(k, M, y[65], y[43], y[32], y[25]) -1*v_649(k, M, y[67], y[4], y[32], y[25]) +1*v_741(k, M, y[25], y[52], y[53]) -1*v_745(k, M, y[3], y[25], y[52]) +1*v_775(k, M, y[4], y[25]) -1*v_865(k, M, y[4], y[25]) -1*v_867(k, M, y[65], y[4], y[25])
+ dydt[26] = -1*v_201(k, M, y[8], y[3], y[17], y[26]) +1*v_203(k, M, y[4], y[13], y[3], y[26])
+ dydt[27] = +1*v_205(k, M, y[4], y[11], y[3], y[27]) -1*v_207(k, M, y[3], y[7], y[17], y[27])
+ dydt[28] = -1*v_217(k, M, y[5], y[29], y[28], y[6]) -1*v_219(k, M, y[5], y[30], y[3], y[28]) -1*v_221(k, M, y[7], y[5], y[29], y[28]) -1*v_223(k, M, y[7], y[31], y[3], y[28]) -1*v_225(k, M, y[10], y[30], y[28], y[6]) -1*v_227(k, M, y[0], y[3], y[32], y[28]) +1*v_229(k, M, y[3], y[29], y[1], y[28]) +1*v_237(k, M, y[8], y[29], y[28], y[9]) +1*v_257(k, M, y[0], y[4], y[29], y[28]) +1*v_263(k, M, y[0], y[29], y[28], y[2]) +1*v_275(k, M, y[4], y[30], y[17], y[28]) -1*v_277(k, M, y[18], y[32], y[17], y[28]) -1*v_279(k, M, y[34], y[32], y[28], y[4]) -1*v_281(k, M, y[34], y[29], y[3], y[28]) -1*v_283(k, M, y[34], y[30], y[28], y[6]) -1*v_367(k, M, y[8], y[3], y[41], y[28]) -1*v_369(k, M, y[8], y[31], y[1], y[28]) -1*v_393(k, M, y[4], y[32], y[25], y[28]) +1*v_489(k, M, y[28], y[35], y[29], y[33]) -1*v_543(k, M, y[13], y[3], y[28], y[56]) -1*v_551(k, M, y[37], y[35], y[1], y[28]) -1*v_561(k, M, y[58], y[54], y[1], y[28]) -1*v_563(k, M, y[54], y[59], y[3], y[28]) -1*v_607(k, M, y[4], y[43], y[28], y[44]) -1*v_715(k, M, y[33], y[1], y[28]) -1*v_717(k, M, y[34], y[28]) -1*v_717(k, M, y[34], y[28]) +1*v_771(k, M, y[28], y[29], y[3]) -1*v_773(k, M, y[4], y[32], y[28]) +1*v_779(k, M, y[67], y[28]) +1*v_845(k, M, y[34], y[28]) +1*v_845(k, M, y[34], y[28]) +1*v_853(k, M, y[4], y[32], y[28])
+ dydt[29] = +1*v_217(k, M, y[5], y[29], y[28], y[6]) +1*v_221(k, M, y[7], y[5], y[29], y[28]) -1*v_229(k, M, y[3], y[29], y[1], y[28]) +1*v_231(k, M, y[3], y[29], y[1], y[33]) -1*v_237(k, M, y[8], y[29], y[28], y[9]) +1*v_239(k, M, y[8], y[29], y[9], y[33]) +1*v_247(k, M, y[12], y[29], y[11], y[33]) -1*v_257(k, M, y[0], y[4], y[29], y[28]) -1*v_259(k, M, y[4], y[29], y[32], y[3]) -1*v_263(k, M, y[0], y[29], y[28], y[2]) -1*v_271(k, M, y[0], y[4], y[29], y[33]) +1*v_273(k, M, y[0], y[29], y[33], y[2]) -1*v_281(k, M, y[34], y[29], y[3], y[28]) +1*v_285(k, M, y[29], y[34], y[7], y[31]) +1*v_291(k, M, y[5], y[29], y[32], y[17]) -1*v_295(k, M, y[0], y[34], y[29], y[32]) -1*v_301(k, M, y[3], y[29], y[30], y[6]) -1*v_303(k, M, y[34], y[29], y[1]) -1*v_303(k, M, y[34], y[29], y[1]) +1*v_313(k, M, y[29], y[35], y[33]) +1*v_321(k, M, y[31], y[29], y[17], y[4]) -1*v_323(k, M, y[3], y[29], y[33], y[36]) -1*v_357(k, M, y[37], y[29], y[33], y[36]) +1*v_373(k, M, y[37], y[4], y[29], y[32]) -1*v_395(k, M, y[0], y[29], y[32], y[25]) -1*v_397(k, M, y[40], y[29], y[25], y[4]) -1*v_407(k, M, y[3], y[29], y[32], y[44]) -1*v_445(k, M, y[0], y[40], y[29], y[3]) +1*v_469(k, M, y[51], y[29], y[42], y[33]) -1*v_485(k, M, y[38], y[29], y[33], y[36]) -1*v_489(k, M, y[28], y[35], y[29], y[33]) +1*v_493(k, M, y[40], y[29], y[1], y[2]) +1*v_643(k, M, y[67], y[3], y[29], y[1]) +1*v_645(k, M, y[67], y[29], y[0], y[2]) +1*v_647(k, M, y[67], y[33], y[29], y[35]) +1*v_723(k, M, y[42], y[29], y[17]) -1*v_771(k, M, y[28], y[29], y[3]) +1*v_849(k, M, y[3], y[29], y[35]) +1*v_859(k, M, y[42], y[29], y[17])
+ dydt[30] = +1*v_219(k, M, y[5], y[30], y[3], y[28]) +1*v_225(k, M, y[10], y[30], y[28], y[6]) -1*v_233(k, M, y[3], y[1], y[31], y[30]) -1*v_235(k, M, y[7], y[5], y[30], y[31]) -1*v_241(k, M, y[8], y[7], y[30], y[31]) -1*v_243(k, M, y[8], y[31], y[30], y[9]) +1*v_245(k, M, y[34], y[10], y[30]) +1*v_245(k, M, y[34], y[10], y[30]) -1*v_265(k, M, y[0], y[4], y[30], y[31]) +1*v_267(k, M, y[0], y[31], y[30], y[2]) -1*v_275(k, M, y[4], y[30], y[17], y[28]) -1*v_283(k, M, y[34], y[30], y[28], y[6]) +1*v_287(k, M, y[4], y[30], y[32], y[6]) -1*v_299(k, M, y[34], y[30], y[32], y[17]) +1*v_301(k, M, y[3], y[29], y[30], y[6]) -1*v_317(k, M, y[31], y[33], y[30], y[35]) -1*v_319(k, M, y[31], y[16], y[30], y[15]) +1*v_467(k, M, y[51], y[31], y[30], y[42]) -1*v_473(k, M, y[51], y[30], y[17], y[18]) -1*v_477(k, M, y[0], y[3], y[51], y[30]) -1*v_523(k, M, y[54], y[11], y[30], y[3]) -1*v_535(k, M, y[57], y[3], y[30], y[14]) -1*v_611(k, M, y[8], y[3], y[30], y[56]) -1*v_713(k, M, y[3], y[30], y[31]) +1*v_851(k, M, y[31], y[30], y[3])
+ dydt[31] = +1*v_223(k, M, y[7], y[31], y[3], y[28]) +1*v_233(k, M, y[3], y[1], y[31], y[30]) +1*v_235(k, M, y[7], y[5], y[30], y[31]) +1*v_241(k, M, y[8], y[7], y[30], y[31]) +1*v_243(k, M, y[8], y[31], y[30], y[9]) +1*v_265(k, M, y[0], y[4], y[30], y[31]) -1*v_267(k, M, y[0], y[31], y[30], y[2]) -1*v_269(k, M, y[0], y[31], y[17], y[33]) +1*v_285(k, M, y[29], y[34], y[7], y[31]) +1*v_289(k, M, y[5], y[31], y[32], y[4]) +1*v_293(k, M, y[8], y[31], y[32], y[2]) +1*v_317(k, M, y[31], y[33], y[30], y[35]) +1*v_319(k, M, y[31], y[16], y[30], y[15]) -1*v_321(k, M, y[31], y[29], y[17], y[4]) +1*v_359(k, M, y[0], y[31], y[41], y[2]) -1*v_365(k, M, y[0], y[31], y[42], y[3]) +1*v_369(k, M, y[8], y[31], y[1], y[28]) -1*v_467(k, M, y[51], y[31], y[30], y[42]) -1*v_475(k, M, y[51], y[31], y[3], y[4]) +1*v_487(k, M, y[31], y[35], y[41], y[33]) +1*v_521(k, M, y[3], y[1], y[41], y[31]) -1*v_525(k, M, y[12], y[31], y[54], y[3]) +1*v_527(k, M, y[8], y[3], y[31], y[55]) -1*v_537(k, M, y[57], y[31], y[13], y[3]) +1*v_539(k, M, y[57], y[31], y[10], y[45]) +1*v_545(k, M, y[21], y[4], y[31], y[56]) +1*v_713(k, M, y[3], y[30], y[31]) -1*v_721(k, M, y[31], y[41], y[3]) -1*v_851(k, M, y[31], y[30], y[3])
+ dydt[32] = +1*v_227(k, M, y[0], y[3], y[32], y[28]) +1*v_259(k, M, y[4], y[29], y[32], y[3]) +1*v_277(k, M, y[18], y[32], y[17], y[28]) -1*v_279(k, M, y[34], y[32], y[28], y[4]) -1*v_287(k, M, y[4], y[30], y[32], y[6]) -1*v_289(k, M, y[5], y[31], y[32], y[4]) -1*v_291(k, M, y[5], y[29], y[32], y[17]) -1*v_293(k, M, y[8], y[31], y[32], y[2]) -1*v_295(k, M, y[0], y[34], y[29], y[32]) -1*v_297(k, M, y[34], y[32], y[33], y[2]) -1*v_299(k, M, y[34], y[30], y[32], y[17]) +1*v_309(k, M, y[4], y[1], y[32], y[33]) -1*v_351(k, M, y[37], y[0], y[32], y[33]) -1*v_353(k, M, y[37], y[34], y[32], y[40]) -1*v_361(k, M, y[42], y[7], y[32], y[3]) +1*v_373(k, M, y[37], y[4], y[29], y[32]) -1*v_377(k, M, y[8], y[41], y[32], y[0]) +1*v_393(k, M, y[4], y[32], y[25], y[28]) +1*v_395(k, M, y[0], y[29], y[32], y[25]) +1*v_401(k, M, y[4], y[43], y[25], y[32]) -1*v_407(k, M, y[3], y[29], y[32], y[44]) +1*v_413(k, M, y[8], y[22], y[43], y[32]) +1*v_447(k, M, y[0], y[40], y[32], y[2]) +1*v_449(k, M, y[0], y[40], y[32], y[4]) +1*v_451(k, M, y[40], y[1], y[32], y[3]) -1*v_453(k, M, y[22], y[40], y[32], y[20]) -1*v_455(k, M, y[40], y[21], y[32], y[17]) +1*v_463(k, M, y[50], y[3], y[32], y[2]) +1*v_465(k, M, y[40], y[35], y[32], y[33]) -1*v_603(k, M, y[0], y[43], y[32], y[52]) +1*v_629(k, M, y[65], y[43], y[32], y[25]) +1*v_649(k, M, y[67], y[4], y[32], y[25]) +1*v_651(k, M, y[67], y[34], y[32], y[44]) -1*v_727(k, M, y[4], y[43], y[32]) -1*v_735(k, M, y[3], y[32], y[40]) -1*v_737(k, M, y[0], y[50], y[32]) +1*v_773(k, M, y[4], y[32], y[28]) -1*v_853(k, M, y[4], y[32], y[28]) +1*v_855(k, M, y[4], y[43], y[32]) +1*v_877(k, M, y[50], y[32], y[0])
+ dydt[33] = -1*v_231(k, M, y[3], y[29], y[1], y[33]) -1*v_239(k, M, y[8], y[29], y[9], y[33]) -1*v_247(k, M, y[12], y[29], y[11], y[33]) -1*v_249(k, M, y[13], y[35], y[11], y[33]) -1*v_251(k, M, y[13], y[35], y[14], y[33]) -1*v_253(k, M, y[35], y[15], y[14], y[33]) -1*v_255(k, M, y[16], y[35], y[15], y[33]) +1*v_261(k, M, y[0], y[4], y[33], y[35]) +1*v_269(k, M, y[0], y[31], y[17], y[33]) +1*v_271(k, M, y[0], y[4], y[29], y[33]) -1*v_273(k, M, y[0], y[29], y[33], y[2]) -1*v_297(k, M, y[34], y[32], y[33], y[2]) -1*v_305(k, M, y[3], y[35], y[1], y[33]) -1*v_307(k, M, y[8], y[35], y[9], y[33]) -1*v_309(k, M, y[4], y[1], y[32], y[33]) +1*v_311(k, M, y[0], y[33], y[35], y[2]) -1*v_313(k, M, y[29], y[35], y[33]) -1*v_313(k, M, y[29], y[35], y[33]) +1*v_315(k, M, y[5], y[33], y[7], y[35]) +1*v_317(k, M, y[31], y[33], y[30], y[35]) -1*v_323(k, M, y[3], y[29], y[33], y[36]) -1*v_325(k, M, y[37], y[35], y[33], y[36]) -1*v_327(k, M, y[38], y[35], y[33], y[36]) -1*v_349(k, M, y[37], y[34], y[35], y[33]) -1*v_351(k, M, y[37], y[0], y[32], y[33]) +1*v_357(k, M, y[37], y[29], y[33], y[36]) +1*v_363(k, M, y[42], y[3], y[33], y[17]) -1*v_371(k, M, y[8], y[7], y[35], y[33]) -1*v_375(k, M, y[1], y[33], y[36]) -1*v_375(k, M, y[1], y[33], y[36]) -1*v_399(k, M, y[0], y[40], y[25], y[33]) -1*v_409(k, M, y[43], y[2], y[33], y[44]) -1*v_415(k, M, y[39], y[35], y[38], y[33]) -1*v_421(k, M, y[48], y[35], y[46], y[33]) +1*v_423(k, M, y[8], y[46], y[15], y[33]) +1*v_425(k, M, y[0], y[19], y[46], y[33]) -1*v_431(k, M, y[8], y[47], y[1], y[33]) -1*v_433(k, M, y[8], y[3], y[46], y[33]) +1*v_437(k, M, y[38], y[3], y[33]) +1*v_437(k, M, y[38], y[3], y[33]) -1*v_465(k, M, y[40], y[35], y[32], y[33]) -1*v_469(k, M, y[51], y[29], y[42], y[33]) +1*v_485(k, M, y[38], y[29], y[33], y[36]) -1*v_487(k, M, y[31], y[35], y[41], y[33]) -1*v_489(k, M, y[28], y[35], y[29], y[33]) -1*v_491(k, M, y[4], y[3], y[33], y[40]) -1*v_549(k, M, y[35], y[25], y[52], y[33]) -1*v_575(k, M, y[38], y[33], y[1], y[35]) +1*v_625(k, M, y[0], y[65], y[33], y[35]) +1*v_647(k, M, y[67], y[33], y[29], y[35]) -1*v_711(k, M, y[3], y[35], y[33]) +1*v_715(k, M, y[33], y[1], y[28]) -1*v_725(k, M, y[39], y[33]) -1*v_725(k, M, y[39], y[33]) -1*v_733(k, M, y[8], y[48], y[33]) +1*v_847(k, M, y[3], y[33], y[35])
+ dydt[34] = -1*v_245(k, M, y[34], y[10], y[30]) +1*v_279(k, M, y[34], y[32], y[28], y[4]) +1*v_281(k, M, y[34], y[29], y[3], y[28]) +1*v_283(k, M, y[34], y[30], y[28], y[6]) -1*v_285(k, M, y[29], y[34], y[7], y[31]) +1*v_295(k, M, y[0], y[34], y[29], y[32]) +1*v_297(k, M, y[34], y[32], y[33], y[2]) +1*v_299(k, M, y[34], y[30], y[32], y[17]) +1*v_303(k, M, y[34], y[29], y[1]) +1*v_343(k, M, y[37], y[3], y[1], y[34]) +1*v_345(k, M, y[37], y[34], y[0], y[2]) +1*v_347(k, M, y[37], y[4], y[34], y[0]) +1*v_349(k, M, y[37], y[34], y[35], y[33]) +1*v_353(k, M, y[37], y[34], y[32], y[40]) +1*v_403(k, M, y[4], y[25], y[34], y[44]) +1*v_405(k, M, y[0], y[3], y[34], y[44]) -1*v_631(k, M, y[65], y[34], y[4]) +1*v_631(k, M, y[65], y[34], y[4]) +1*v_651(k, M, y[67], y[34], y[32], y[44]) +1*v_717(k, M, y[34], y[28]) +1*v_729(k, M, y[34], y[4], y[44]) +1*v_731(k, M, y[37], y[34], y[3]) -1*v_845(k, M, y[34], y[28])
+ dydt[35] = +1*v_249(k, M, y[13], y[35], y[11], y[33]) +1*v_251(k, M, y[13], y[35], y[14], y[33]) +1*v_253(k, M, y[35], y[15], y[14], y[33]) +1*v_255(k, M, y[16], y[35], y[15], y[33]) -1*v_261(k, M, y[0], y[4], y[33], y[35]) +1*v_305(k, M, y[3], y[35], y[1], y[33]) +1*v_307(k, M, y[8], y[35], y[9], y[33]) -1*v_311(k, M, y[0], y[33], y[35], y[2]) +1*v_313(k, M, y[29], y[35], y[33]) -1*v_315(k, M, y[5], y[33], y[7], y[35]) -1*v_317(k, M, y[31], y[33], y[30], y[35]) +1*v_325(k, M, y[37], y[35], y[33], y[36]) +1*v_327(k, M, y[38], y[35], y[33], y[36]) +1*v_349(k, M, y[37], y[34], y[35], y[33]) +1*v_371(k, M, y[8], y[7], y[35], y[33]) +1*v_415(k, M, y[39], y[35], y[38], y[33]) +1*v_421(k, M, y[48], y[35], y[46], y[33]) +1*v_465(k, M, y[40], y[35], y[32], y[33]) +1*v_487(k, M, y[31], y[35], y[41], y[33]) +1*v_489(k, M, y[28], y[35], y[29], y[33]) +1*v_549(k, M, y[35], y[25], y[52], y[33]) -1*v_551(k, M, y[37], y[35], y[1], y[28]) -1*v_575(k, M, y[38], y[33], y[1], y[35]) -1*v_625(k, M, y[0], y[65], y[33], y[35]) -1*v_647(k, M, y[67], y[33], y[29], y[35]) +1*v_711(k, M, y[3], y[35], y[33]) -1*v_847(k, M, y[3], y[33], y[35]) -1*v_849(k, M, y[3], y[29], y[35])
+ dydt[36] = +1*v_323(k, M, y[3], y[29], y[33], y[36]) -1*v_325(k, M, y[37], y[35], y[33], y[36]) +1*v_327(k, M, y[38], y[35], y[33], y[36]) -1*v_329(k, M, y[37], y[3], y[1], y[36]) -1*v_331(k, M, y[8], y[37], y[9], y[36]) -1*v_333(k, M, y[0], y[37], y[2], y[36]) +1*v_335(k, M, y[38], y[3], y[1], y[36]) +1*v_337(k, M, y[38], y[4], y[0], y[36]) +1*v_339(k, M, y[38], y[2], y[0], y[36]) +1*v_341(k, M, y[38], y[39], y[36]) -1*v_355(k, M, y[37], y[4], y[0], y[36]) -1*v_357(k, M, y[37], y[29], y[33], y[36]) +1*v_375(k, M, y[1], y[33], y[36]) +1*v_485(k, M, y[38], y[29], y[33], y[36]) +1*v_577(k, M, y[38], y[37], y[36]) +1*v_577(k, M, y[38], y[37], y[36]) +1*v_579(k, M, y[38], y[8], y[9], y[36]) +1*v_719(k, M, y[38], y[3], y[36]) -1*v_753(k, M, y[37], y[3], y[36])
+ dydt[37] = +1*v_325(k, M, y[37], y[35], y[33], y[36]) +1*v_329(k, M, y[37], y[3], y[1], y[36]) +1*v_331(k, M, y[8], y[37], y[9], y[36]) +1*v_333(k, M, y[0], y[37], y[2], y[36]) -1*v_343(k, M, y[37], y[3], y[1], y[34]) -1*v_345(k, M, y[37], y[34], y[0], y[2]) -1*v_347(k, M, y[37], y[4], y[34], y[0]) -1*v_349(k, M, y[37], y[34], y[35], y[33]) +1*v_351(k, M, y[37], y[0], y[32], y[33]) -1*v_353(k, M, y[37], y[34], y[32], y[40]) +1*v_355(k, M, y[37], y[4], y[0], y[36]) +1*v_357(k, M, y[37], y[29], y[33], y[36]) -1*v_373(k, M, y[37], y[4], y[29], y[32]) +1*v_551(k, M, y[37], y[35], y[1], y[28]) -1*v_577(k, M, y[38], y[37], y[36]) -1*v_731(k, M, y[37], y[34], y[3]) +1*v_753(k, M, y[37], y[3], y[36])
+ dydt[38] = -1*v_327(k, M, y[38], y[35], y[33], y[36]) -1*v_335(k, M, y[38], y[3], y[1], y[36]) -1*v_337(k, M, y[38], y[4], y[0], y[36]) -1*v_339(k, M, y[38], y[2], y[0], y[36]) -1*v_341(k, M, y[38], y[39], y[36]) -1*v_341(k, M, y[38], y[39], y[36]) +1*v_379(k, M, y[39], y[3], y[1], y[38]) +1*v_415(k, M, y[39], y[35], y[38], y[33]) -1*v_437(k, M, y[38], y[3], y[33]) -1*v_485(k, M, y[38], y[29], y[33], y[36]) +1*v_575(k, M, y[38], y[33], y[1], y[35]) -1*v_577(k, M, y[38], y[37], y[36]) -1*v_579(k, M, y[38], y[8], y[9], y[36]) -1*v_719(k, M, y[38], y[3], y[36]) +1*v_857(k, M, y[39], y[3], y[38])
+ dydt[39] = +1*v_341(k, M, y[38], y[39], y[36]) -1*v_379(k, M, y[39], y[3], y[1], y[38]) -1*v_415(k, M, y[39], y[35], y[38], y[33]) +1*v_725(k, M, y[39], y[33]) -1*v_857(k, M, y[39], y[3], y[38])
+ dydt[40] = +1*v_353(k, M, y[37], y[34], y[32], y[40]) +1*v_397(k, M, y[40], y[29], y[25], y[4]) +1*v_399(k, M, y[0], y[40], y[25], y[33]) -1*v_411(k, M, y[40], y[2], y[44]) -1*v_411(k, M, y[40], y[2], y[44]) +1*v_445(k, M, y[0], y[40], y[29], y[3]) -1*v_447(k, M, y[0], y[40], y[32], y[2]) -1*v_449(k, M, y[0], y[40], y[32], y[4]) -1*v_451(k, M, y[40], y[1], y[32], y[3]) +1*v_453(k, M, y[22], y[40], y[32], y[20]) +1*v_455(k, M, y[40], y[21], y[32], y[17]) +1*v_459(k, M, y[50], y[3], y[0], y[40]) -1*v_465(k, M, y[40], y[35], y[32], y[33]) +1*v_491(k, M, y[4], y[3], y[33], y[40]) -1*v_493(k, M, y[40], y[29], y[1], y[2]) +1*v_735(k, M, y[3], y[32], y[40])
+ dydt[41] = -1*v_359(k, M, y[0], y[31], y[41], y[2]) +1*v_367(k, M, y[8], y[3], y[41], y[28]) +1*v_377(k, M, y[8], y[41], y[32], y[0]) +1*v_429(k, M, y[47], y[3], y[41], y[1]) -1*v_487(k, M, y[31], y[35], y[41], y[33]) -1*v_521(k, M, y[3], y[1], y[41], y[31]) +1*v_721(k, M, y[31], y[41], y[3])
+ dydt[42] = +1*v_361(k, M, y[42], y[7], y[32], y[3]) -1*v_363(k, M, y[42], y[3], y[33], y[17]) +1*v_365(k, M, y[0], y[31], y[42], y[3]) +1*v_467(k, M, y[51], y[31], y[30], y[42]) +1*v_469(k, M, y[51], y[29], y[42], y[33]) +1*v_471(k, M, y[51], y[21], y[42], y[17]) -1*v_479(k, M, y[42], y[3], y[51], y[1]) -1*v_481(k, M, y[42], y[4], y[51], y[0]) -1*v_483(k, M, y[42], y[51], y[0], y[2]) -1*v_723(k, M, y[42], y[29], y[17]) -1*v_777(k, M, y[42], y[3], y[51]) -1*v_859(k, M, y[42], y[29], y[17]) -1*v_861(k, M, y[42], y[3], y[51])
+ dydt[43] = -1*v_401(k, M, y[4], y[43], y[25], y[32]) -1*v_409(k, M, y[43], y[2], y[33], y[44]) -1*v_413(k, M, y[8], y[22], y[43], y[32]) +1*v_457(k, M, y[50], y[43], y[0], y[2]) +1*v_461(k, M, y[50], y[3], y[43], y[1]) +1*v_603(k, M, y[0], y[43], y[32], y[52]) -1*v_607(k, M, y[4], y[43], y[28], y[44]) -1*v_629(k, M, y[65], y[43], y[32], y[25]) +1*v_727(k, M, y[4], y[43], y[32]) -1*v_855(k, M, y[4], y[43], y[32])
+ dydt[44] = -1*v_403(k, M, y[4], y[25], y[34], y[44]) -1*v_405(k, M, y[0], y[3], y[34], y[44]) +1*v_407(k, M, y[3], y[29], y[32], y[44]) +1*v_409(k, M, y[43], y[2], y[33], y[44]) +1*v_411(k, M, y[40], y[2], y[44]) +1*v_607(k, M, y[4], y[43], y[28], y[44]) -1*v_651(k, M, y[67], y[34], y[32], y[44]) -1*v_729(k, M, y[34], y[4], y[44])
+ dydt[45] = +1*v_417(k, M, y[12], y[3], y[11], y[45]) +1*v_539(k, M, y[57], y[31], y[10], y[45]) -1*v_761(k, M, y[3], y[61], y[45]) -1*v_869(k, M, y[10], y[11], y[45])
+ dydt[46] = -1*v_419(k, M, y[47], y[3], y[46], y[1]) +1*v_421(k, M, y[48], y[35], y[46], y[33]) -1*v_423(k, M, y[8], y[46], y[15], y[33]) -1*v_425(k, M, y[0], y[19], y[46], y[33]) +1*v_427(k, M, y[48], y[46], y[1], y[3]) +1*v_433(k, M, y[8], y[3], y[46], y[33]) +1*v_435(k, M, y[8], y[48], y[46], y[9])
+ dydt[47] = +1*v_419(k, M, y[47], y[3], y[46], y[1]) -1*v_429(k, M, y[47], y[3], y[41], y[1]) +1*v_431(k, M, y[8], y[47], y[1], y[33])
+ dydt[48] = -1*v_421(k, M, y[48], y[35], y[46], y[33]) -1*v_427(k, M, y[48], y[46], y[1], y[3]) -1*v_435(k, M, y[8], y[48], y[46], y[9]) +1*v_733(k, M, y[8], y[48], y[33])
+ dydt[49] = +1*v_441(k, M, y[4], y[49], y[15], y[3]) -1*v_443(k, M, y[3], y[49], y[1], y[24]) -1*v_841(k, M, y[49], y[17], y[9]) -1*v_843(k, M, y[8], y[49], y[21])
+ dydt[50] = -1*v_457(k, M, y[50], y[43], y[0], y[2]) -1*v_459(k, M, y[50], y[3], y[0], y[40]) -1*v_461(k, M, y[50], y[3], y[43], y[1]) -1*v_463(k, M, y[50], y[3], y[32], y[2]) +1*v_737(k, M, y[0], y[50], y[32]) -1*v_877(k, M, y[50], y[32], y[0])
+ dydt[51] = -1*v_467(k, M, y[51], y[31], y[30], y[42]) -1*v_469(k, M, y[51], y[29], y[42], y[33]) -1*v_471(k, M, y[51], y[21], y[42], y[17]) +1*v_473(k, M, y[51], y[30], y[17], y[18]) +1*v_475(k, M, y[51], y[31], y[3], y[4]) +1*v_477(k, M, y[0], y[3], y[51], y[30]) +1*v_479(k, M, y[42], y[3], y[51], y[1]) +1*v_481(k, M, y[42], y[4], y[51], y[0]) +1*v_483(k, M, y[42], y[51], y[0], y[2]) +1*v_777(k, M, y[42], y[3], y[51]) +1*v_861(k, M, y[42], y[3], y[51])
+ dydt[52] = -1*v_495(k, M, y[0], y[3], y[52]) -1*v_497(k, M, y[3], y[52], y[4], y[2]) -1*v_499(k, M, y[3], y[1], y[25], y[52]) -1*v_501(k, M, y[0], y[18], y[52], y[17]) +1*v_503(k, M, y[0], y[4], y[52], y[53]) +1*v_505(k, M, y[0], y[52], y[53], y[2]) +1*v_507(k, M, y[3], y[1], y[52], y[53]) -1*v_511(k, M, y[0], y[4], y[25], y[52]) -1*v_513(k, M, y[8], y[25], y[52], y[9]) -1*v_515(k, M, y[16], y[25], y[15], y[52]) +1*v_517(k, M, y[52], y[21], y[25], y[17]) -1*v_519(k, M, y[0], y[25], y[52], y[2]) -1*v_547(k, M, y[8], y[53], y[52], y[9]) -1*v_549(k, M, y[35], y[25], y[52], y[33]) -1*v_603(k, M, y[0], y[43], y[32], y[52]) +1*v_605(k, M, y[20], y[21], y[25], y[52]) +1*v_609(k, M, y[22], y[20], y[25], y[52]) -1*v_613(k, M, y[25], y[52], y[53]) -1*v_613(k, M, y[25], y[52], y[53]) -1*v_741(k, M, y[25], y[52], y[53]) -1*v_741(k, M, y[25], y[52], y[53]) +1*v_745(k, M, y[3], y[25], y[52]) -1*v_863(k, M, y[0], y[4], y[52])
+ dydt[53] = -1*v_503(k, M, y[0], y[4], y[52], y[53]) -1*v_505(k, M, y[0], y[52], y[53], y[2]) -1*v_507(k, M, y[3], y[1], y[52], y[53]) -1*v_509(k, M, y[0], y[3], y[53], y[2]) +1*v_547(k, M, y[8], y[53], y[52], y[9]) +1*v_613(k, M, y[25], y[52], y[53]) +1*v_741(k, M, y[25], y[52], y[53]) +1*v_743(k, M, y[0], y[53])
+ dydt[54] = +1*v_523(k, M, y[54], y[11], y[30], y[3]) +1*v_525(k, M, y[12], y[31], y[54], y[3]) +1*v_541(k, M, y[57], y[54], y[10], y[11]) +1*v_561(k, M, y[58], y[54], y[1], y[28]) +1*v_563(k, M, y[54], y[59], y[3], y[28])
+ dydt[55] = -1*v_527(k, M, y[8], y[3], y[31], y[55]) -1*v_529(k, M, y[3], y[1], y[55], y[56]) -1*v_531(k, M, y[0], y[55], y[2], y[56]) -1*v_533(k, M, y[0], y[55], y[4], y[56]) +1*v_747(k, M, y[3], y[55], y[56])
+ dydt[56] = +1*v_529(k, M, y[3], y[1], y[55], y[56]) +1*v_531(k, M, y[0], y[55], y[2], y[56]) +1*v_533(k, M, y[0], y[55], y[4], y[56]) +1*v_543(k, M, y[13], y[3], y[28], y[56]) -1*v_545(k, M, y[21], y[4], y[31], y[56]) +1*v_611(k, M, y[8], y[3], y[30], y[56]) -1*v_747(k, M, y[3], y[55], y[56])
+ dydt[57] = +1*v_535(k, M, y[57], y[3], y[30], y[14]) +1*v_537(k, M, y[57], y[31], y[13], y[3]) -1*v_539(k, M, y[57], y[31], y[10], y[45]) -1*v_541(k, M, y[57], y[54], y[10], y[11])
+ dydt[58] = +1*v_553(k, M, y[12], y[58], y[8], y[15]) +1*v_555(k, M, y[8], y[13], y[58]) -1*v_557(k, M, y[0], y[58], y[13], y[21]) +1*v_559(k, M, y[12], y[19], y[58], y[0]) -1*v_561(k, M, y[58], y[54], y[1], y[28]) +1*v_567(k, M, y[7], y[11], y[3], y[58]) +1*v_573(k, M, y[8], y[58], y[12], y[3]) -1*v_583(k, M, y[5], y[61], y[58], y[3]) +1*v_641(k, M, y[58], y[11], y[3], y[66]) +1*v_749(k, M, y[3], y[58], y[59]) -1*v_751(k, M, y[58], y[63]) -1*v_751(k, M, y[58], y[63]) -1*v_755(k, M, y[58], y[60], y[3]) +1*v_875(k, M, y[58], y[63]) +1*v_875(k, M, y[58], y[63])
+ dydt[59] = -1*v_563(k, M, y[54], y[59], y[3], y[28]) +1*v_565(k, M, y[7], y[1], y[11], y[59]) +1*v_569(k, M, y[12], y[7], y[3], y[59]) +1*v_571(k, M, y[5], y[11], y[3], y[59]) +1*v_593(k, M, y[11], y[59], y[6]) -1*v_749(k, M, y[3], y[58], y[59])
+ dydt[60] = +1*v_581(k, M, y[8], y[3], y[11], y[60]) +1*v_755(k, M, y[58], y[60], y[3]) +1*v_757(k, M, y[7], y[11], y[60])
+ dydt[61] = +1*v_583(k, M, y[5], y[61], y[58], y[3]) +1*v_761(k, M, y[3], y[61], y[45]) -1*v_763(k, M, y[61], y[11], y[64])
+ dydt[62] = +1*v_585(k, M, y[12], y[62], y[15], y[3]) -1*v_587(k, M, y[62], y[3], y[11], y[63]) +1*v_765(k, M, y[62], y[13], y[11])
+ dydt[63] = +1*v_587(k, M, y[62], y[3], y[11], y[63]) +1*v_589(k, M, y[63], y[1], y[64], y[3]) +1*v_591(k, M, y[8], y[63], y[64], y[9]) +1*v_751(k, M, y[58], y[63]) +1*v_759(k, M, y[3], y[63], y[64]) -1*v_873(k, M, y[64], y[63], y[3]) -1*v_875(k, M, y[58], y[63])
+ dydt[64] = -1*v_589(k, M, y[63], y[1], y[64], y[3]) -1*v_591(k, M, y[8], y[63], y[64], y[9]) -1*v_759(k, M, y[3], y[63], y[64]) +1*v_763(k, M, y[61], y[11], y[64]) +1*v_873(k, M, y[64], y[63], y[3])
+ dydt[65] = -1*v_615(k, M, y[0], y[65], y[16], y[15]) -1*v_617(k, M, y[0], y[65], y[1], y[3]) -1*v_619(k, M, y[0], y[65], y[8], y[9]) -1*v_621(k, M, y[0], y[65], y[2]) -1*v_623(k, M, y[65], y[4], y[18]) -1*v_625(k, M, y[0], y[65], y[33], y[35]) -1*v_627(k, M, y[65], y[18], y[17]) -1*v_629(k, M, y[65], y[43], y[32], y[25]) -1*v_631(k, M, y[65], y[34], y[4]) +1*v_785(k, M, y[65], y[1], y[2]) +1*v_809(k, M, y[65], y[17], y[18]) +1*v_867(k, M, y[65], y[4], y[25])
+ dydt[66] = -1*v_633(k, M, y[8], y[3], y[1], y[66]) -1*v_635(k, M, y[7], y[1], y[66]) -1*v_637(k, M, y[7], y[2], y[66]) -1*v_639(k, M, y[7], y[17], y[66]) -1*v_641(k, M, y[58], y[11], y[3], y[66]) +1*v_653(k, M, y[0], y[8], y[2], y[66]) +1*v_791(k, M, y[1], y[9], y[66]) +1*v_793(k, M, y[3], y[9], y[66]) +1*v_799(k, M, y[8], y[3], y[66]) +1*v_823(k, M, y[16], y[9], y[66])
+ dydt[67] = -1*v_643(k, M, y[67], y[3], y[29], y[1]) -1*v_645(k, M, y[67], y[29], y[0], y[2]) -1*v_647(k, M, y[67], y[33], y[29], y[35]) -1*v_649(k, M, y[67], y[4], y[32], y[25]) -1*v_651(k, M, y[67], y[34], y[32], y[44]) -1*v_779(k, M, y[67], y[28])
+ dydt[68] = -1*v_655(k, M, y[68]) +1*v_655(k, M, y[68])
dydt = np.transpose(dydt)
return dydt
def df(y, M, k):
df_list = []
- df_list.append( -(k[1]*y[0]*y[1] - k[2]*y[2]*y[3]) +(k[3]*y[4]*y[3] - k[4]*y[2]*y[0]) -(k[7]*y[0]*y[5] - k[8]*y[3]*y[6]) -(k[9]*y[0]*y[7] - k[10]*y[5]*y[3]) +(k[11]*y[7]*y[3] - k[12]*y[0]*y[8]) -(k[13]*y[0]*y[9] - k[14]*y[8]*y[3]) +(k[15]*y[6]*y[5] - k[16]*y[10]*y[0]) +(k[17]*y[8]*y[6] - k[18]*y[0]*y[11]) +(k[19]*y[3]*y[12] - k[20]*y[0]*y[11]) +(k[21]*y[5]*y[7] - k[22]*y[0]*y[11]) -(k[23]*y[0]*y[13] - k[24]*y[11]*y[3]) +(k[25]*y[3]*y[13] - k[26]*y[0]*y[14]) +(k[27]*y[5]*y[9] - k[28]*y[0]*y[14]) +(k[29]*y[7]*y[8] - k[30]*y[0]*y[14]) -(k[31]*y[0]*y[15] - k[32]*y[8]*y[8]) -(k[33]*y[0]*y[15] - k[34]*y[14]*y[3]) -(k[35]*y[0]*y[16] - k[36]*y[15]*y[3]) +(k[37]*y[2]*y[17] - k[38]*y[0]*y[18]) +(k[43]*y[7]*y[7] - k[44]*y[11]*y[0]*y[0]) +(k[43]*y[7]*y[7] - k[44]*y[11]*y[0]*y[0]) +(k[47]*y[7]*y[7] - k[48]*y[0]*y[13]) +(k[73]*y[10]*y[3] - k[74]*y[0]*y[12]) +(k[103]*y[4]*y[5] - k[104]*y[0]*y[17]) +(k[111]*y[2]*y[6] - k[112]*y[17]*y[0]) -(k[121]*y[19]*y[0] - k[122]*y[2]*y[8]) -(k[123]*y[20]*y[0] - k[124]*y[21]*y[3]) -(k[131]*y[21]*y[0] - k[132]*y[17]*y[3]) +(k[137]*y[8]*y[4] - k[138]*y[20]*y[0]) -(k[143]*y[23]*y[0] - k[144]*y[22]*y[3]) -(k[145]*y[23]*y[0] - k[146]*y[8]*y[1]) +(k[147]*y[7]*y[4] - k[148]*y[17]*y[0]*y[0]) +(k[147]*y[7]*y[4] - k[148]*y[17]*y[0]*y[0]) +(k[149]*y[7]*y[2] - k[150]*y[20]*y[0]) -(k[155]*y[23]*y[0] - k[156]*y[19]*y[3]) -(k[193]*y[24]*y[0] - k[194]*y[21]*y[8]) +(k[197]*y[4]*y[2] - k[198]*y[25]*y[0]) -(k[199]*y[0]*y[22] - k[200]*y[20]*y[3]) -(k[201]*y[0]*y[26] - k[202]*y[17]*y[8]) +(k[203]*y[4]*y[13] - k[204]*y[26]*y[0]) +(k[205]*y[11]*y[4] - k[206]*y[27]*y[0]) -(k[207]*y[27]*y[0] - k[208]*y[17]*y[7]) +(k[219]*y[28]*y[5] - k[220]*y[30]*y[0]) +(k[223]*y[28]*y[7] - k[224]*y[31]*y[0]) -(k[227]*y[0]*y[32] - k[228]*y[2]*y[28]) -(k[229]*y[0]*y[29] - k[230]*y[3]*y[28]) -(k[231]*y[0]*y[33] - k[232]*y[3]*y[29]) +(k[233]*y[3]*y[30] - k[234]*y[0]*y[31]) +(k[259]*y[4]*y[29] - k[260]*y[32]*y[0]) +(k[281]*y[28]*y[29] - k[282]*y[34]*y[0]) +(k[301]*y[29]*y[6] - k[302]*y[0]*y[30]) +(k[305]*y[33]*y[3] - k[306]*y[35]*y[0]) +(k[325]*y[29]*y[33] - k[326]*y[37]*y[0]) -(k[331]*y[37]*y[0] - k[332]*y[38]*y[3]) -(k[337]*y[39]*y[0] - k[338]*y[37]*y[3]) -(k[345]*y[38]*y[0] - k[346]*y[34]*y[3]) +(k[363]*y[32]*y[7] - k[364]*y[42]*y[0]) -(k[365]*y[42]*y[0] - k[366]*y[17]*y[33]) +(k[367]*y[31]*y[2] - k[368]*y[42]*y[0]) +(k[369]*y[8]*y[28] - k[370]*y[36]*y[0]) -(k[381]*y[40]*y[0] - k[382]*y[39]*y[3]) -(k[407]*y[44]*y[0] - k[408]*y[34]*y[2]) +(k[409]*y[29]*y[32] - k[410]*y[44]*y[0]) +(k[419]*y[12]*y[11] - k[420]*y[45]*y[0]) -(k[421]*y[46]*y[0] - k[422]*y[47]*y[3]) -(k[429]*y[48]*y[0] - k[430]*y[46]*y[3]) -(k[431]*y[47]*y[0] - k[432]*y[36]*y[3]) +(k[435]*y[8]*y[33] - k[436]*y[46]*y[0]) -(k[439]*y[39]*y[0] - k[440]*y[33]*y[33]) +(k[441]*y[5]*y[1] - k[442]*y[20]*y[0]) +(k[443]*y[4]*y[15] - k[444]*y[49]*y[0]) -(k[445]*y[49]*y[0] - k[446]*y[3]*y[24]) +(k[447]*y[29]*y[2] - k[448]*y[41]*y[0]) -(k[453]*y[41]*y[0] - k[454]*y[32]*y[3]) -(k[461]*y[50]*y[0] - k[462]*y[41]*y[2]) -(k[463]*y[50]*y[0] - k[464]*y[43]*y[3]) -(k[465]*y[50]*y[0] - k[466]*y[32]*y[1]) +(k[477]*y[31]*y[4] - k[478]*y[51]*y[0]) +(k[479]*y[30]*y[2] - k[480]*y[51]*y[0]) -(k[481]*y[42]*y[0] - k[482]*y[51]*y[3]) +(k[493]*y[33]*y[4] - k[494]*y[41]*y[0]) -(k[497]*y[52]*y[0] - k[498]*y[2]*y[2]) -(k[499]*y[52]*y[0] - k[500]*y[4]*y[1]) -(k[501]*y[52]*y[0] - k[502]*y[25]*y[3]) -(k[509]*y[53]*y[0] - k[510]*y[3]*y[52]) -(k[511]*y[53]*y[0] - k[512]*y[2]*y[1]) -(k[523]*y[36]*y[0] - k[524]*y[31]*y[3]) +(k[525]*y[30]*y[11] - k[526]*y[54]*y[0]) +(k[527]*y[31]*y[12] - k[528]*y[54]*y[0]) -(k[529]*y[0]*y[55] - k[530]*y[31]*y[8]) -(k[531]*y[0]*y[55] - k[532]*y[56]*y[3]) +(k[537]*y[30]*y[14] - k[538]*y[57]*y[0]) +(k[539]*y[31]*y[13] - k[540]*y[57]*y[0]) +(k[545]*y[28]*y[13] - k[546]*y[56]*y[0]) +(k[563]*y[28]*y[59] - k[564]*y[54]*y[0]) +(k[567]*y[7]*y[11] - k[568]*y[58]*y[0]) +(k[569]*y[7]*y[12] - k[570]*y[59]*y[0]) +(k[571]*y[5]*y[11] - k[572]*y[59]*y[0]) +(k[573]*y[8]*y[12] - k[574]*y[58]*y[0]) +(k[575]*y[60]*y[3] - k[576]*y[2]*y[0]) +(k[589]*y[61]*y[3] - k[590]*y[8]*y[0]) +(k[597]*y[61]*y[11] - k[598]*y[58]*y[0]) +(k[599]*y[62]*y[3] - k[600]*y[29]*y[0]) -(k[607]*y[0]*y[0]*M - k[608]*y[3]*M) -(k[607]*y[0]*y[0]*M - k[608]*y[3]*M) -(k[609]*y[0]*y[4]*M - k[610]*y[2]*M) -(k[611]*y[2]*y[0]*M - k[612]*y[1]*M) -(k[613]*y[0]*y[5]*M - k[614]*y[7]*M) -(k[615]*y[0]*y[8]*M - k[616]*y[9]*M) -(k[617]*y[0]*y[11]*M - k[618]*y[13]*M) -(k[619]*y[0]*y[13]*M - k[620]*y[14]*M) -(k[621]*y[0]*y[14]*M - k[622]*y[15]*M) -(k[623]*y[0]*y[15]*M - k[624]*y[16]*M) +(k[627]*y[5]*M - k[628]*y[6]*y[0]*M) -(k[629]*y[7]*y[0]*M - k[630]*y[8]*M) -(k[635]*y[12]*y[0]*M - k[636]*y[11]*M) +(k[643]*y[19]*M - k[644]*y[0]*y[20]*M) -(k[645]*y[0]*y[17]*M - k[646]*y[21]*M) +(k[649]*y[22]*M - k[650]*y[0]*y[20]*M) -(k[651]*y[19]*y[0]*M - k[652]*y[23]*M) -(k[657]*y[21]*y[0]*M - k[658]*y[20]*M) -(k[661]*y[0]*y[33]*M - k[662]*y[35]*M) -(k[663]*y[0]*y[30]*M - k[664]*y[31]*M) +(k[669]*y[39]*M - k[670]*y[37]*y[0]*M) -(k[671]*y[31]*y[0]*M - k[672]*y[36]*M) +(k[681]*y[38]*M - k[682]*y[34]*y[0]*M) -(k[685]*y[32]*y[0]*M - k[686]*y[41]*M) -(k[695]*y[0]*y[25]*M - k[696]*y[52]*M) -(k[697]*y[56]*y[0]*M - k[698]*y[55]*M) -(k[699]*y[59]*y[0]*M - k[700]*y[58]*M) +(k[703]*y[12]*M - k[704]*y[10]*y[0]*M) +(k[707]*y[29]*M - k[708]*y[0]*y[28]*M) +(k[711]*y[37]*M - k[712]*y[38]*y[0]*M) +(k[715]*y[42]*M - k[716]*y[0]*y[51]) +(k[721]*y[1] - k[722]*y[0]*y[2]) +(k[725]*y[1] - k[726]*y[0]*y[0]*y[4]) +(k[725]*y[1] - k[726]*y[0]*y[0]*y[4]) +(k[727]*y[9] - k[728]*y[8]*y[0]) +(k[731]*y[9] - k[732]*y[61]*y[0]*y[0]) +(k[731]*y[9] - k[732]*y[61]*y[0]*y[0]) +(k[733]*y[9] - k[734]*y[5]*y[3]*y[0]) +(k[737]*y[8] - k[738]*y[61]*y[0]) +(k[741]*y[3] - k[742]*y[0]*y[0]) +(k[741]*y[3] - k[742]*y[0]*y[0]) +(k[743]*y[11] - k[744]*y[12]*y[0]) +(k[751]*y[14] - k[752]*y[11]*y[0]*y[0]) +(k[751]*y[14] - k[752]*y[11]*y[0]*y[0]) +(k[753]*y[14] - k[754]*y[13]*y[0]) +(k[757]*y[16] - k[758]*y[14]*y[0]*y[0]) +(k[757]*y[16] - k[758]*y[14]*y[0]*y[0]) +(k[765]*y[2] - k[766]*y[0]*y[4]) +(k[767]*y[21] - k[768]*y[0]*y[17]) +(k[771]*y[20] - k[772]*y[0]*y[21]) +(k[777]*y[23] - k[778]*y[22]*y[0]) +(k[785]*y[35] - k[786]*y[33]*y[0]) +(k[787]*y[35] - k[788]*y[29]*y[0]*y[0]) +(k[787]*y[35] - k[788]*y[29]*y[0]*y[0]) +(k[789]*y[31] - k[790]*y[0]*y[30]) +(k[795]*y[40] - k[796]*y[39]*y[0]) +(k[799]*y[42] - k[800]*y[0]*y[51]) +(k[813]*y[7] - k[814]*y[5]*y[0]) )
- df_list.append( -(k[1]*y[0]*y[1] - k[2]*y[2]*y[3]) -(k[5]*y[4]*y[1] - k[6]*y[2]*y[2]) +(k[53]*y[8]*y[2] - k[54]*y[7]*y[1]) -(k[85]*y[12]*y[1] - k[86]*y[11]*y[2]) +(k[93]*y[14]*y[2] - k[94]*y[13]*y[1]) +(k[99]*y[16]*y[2] - k[100]*y[15]*y[1]) +(k[113]*y[2]*y[7] - k[114]*y[1]*y[5]) +(k[115]*y[2]*y[9] - k[116]*y[1]*y[8]) +(k[117]*y[2]*y[13] - k[118]*y[1]*y[11]) +(k[119]*y[2]*y[15] - k[120]*y[1]*y[14]) +(k[133]*y[21]*y[2] - k[134]*y[17]*y[1]) +(k[141]*y[22]*y[2] - k[142]*y[20]*y[1]) +(k[145]*y[23]*y[0] - k[146]*y[8]*y[1]) +(k[263]*y[2]*y[29] - k[264]*y[1]*y[28]) +(k[267]*y[2]*y[31] - k[268]*y[1]*y[30]) +(k[273]*y[33]*y[2] - k[274]*y[1]*y[29]) +(k[293]*y[32]*y[8] - k[294]*y[31]*y[1]) +(k[297]*y[32]*y[33] - k[298]*y[34]*y[1]) -(k[311]*y[33]*y[1] - k[312]*y[35]*y[2]) +(k[335]*y[37]*y[2] - k[336]*y[38]*y[1]) +(k[341]*y[39]*y[2] - k[342]*y[37]*y[1]) +(k[347]*y[38]*y[2] - k[348]*y[34]*y[1]) +(k[361]*y[36]*y[2] - k[362]*y[31]*y[1]) +(k[387]*y[25]*y[7] - k[388]*y[1]*y[17]) +(k[411]*y[33]*y[43] - k[412]*y[44]*y[1]) +(k[413]*y[41]*y[41] - k[414]*y[44]*y[1]) -(k[441]*y[5]*y[1] - k[442]*y[20]*y[0]) +(k[449]*y[41]*y[2] - k[450]*y[32]*y[1]) +(k[459]*y[50]*y[2] - k[460]*y[43]*y[1]) +(k[465]*y[50]*y[0] - k[466]*y[32]*y[1]) +(k[485]*y[42]*y[2] - k[486]*y[51]*y[1]) +(k[495]*y[3]*y[41] - k[496]*y[29]*y[1]) +(k[499]*y[52]*y[0] - k[500]*y[4]*y[1]) +(k[507]*y[2]*y[53] - k[508]*y[1]*y[52]) +(k[511]*y[53]*y[0] - k[512]*y[2]*y[1]) +(k[521]*y[2]*y[52] - k[522]*y[1]*y[25]) +(k[533]*y[55]*y[2] - k[534]*y[56]*y[1]) -(k[579]*y[60]*y[1] - k[580]*y[2]*y[2]) -(k[593]*y[61]*y[1] - k[594]*y[7]*y[1]) +(k[593]*y[61]*y[1] - k[594]*y[7]*y[1]) -(k[601]*y[62]*y[1] - k[602]*y[29]*y[2]) +(k[611]*y[2]*y[0]*M - k[612]*y[1]*M) -(k[647]*y[1]*y[5]*M - k[648]*y[19]*M) -(k[721]*y[1] - k[722]*y[0]*y[2]) -(k[723]*y[1] - k[724]*y[3]*y[60]) -(k[725]*y[1] - k[726]*y[0]*y[0]*y[4]) )
- df_list.append( +(k[1]*y[0]*y[1] - k[2]*y[2]*y[3]) +(k[3]*y[4]*y[3] - k[4]*y[2]*y[0]) +(k[5]*y[4]*y[1] - k[6]*y[2]*y[2]) +(k[5]*y[4]*y[1] - k[6]*y[2]*y[2]) -(k[37]*y[2]*y[17] - k[38]*y[0]*y[18]) -(k[53]*y[8]*y[2] - k[54]*y[7]*y[1]) -(k[55]*y[12]*y[2] - k[56]*y[7]*y[17]) -(k[71]*y[11]*y[2] - k[72]*y[8]*y[17]) -(k[83]*y[12]*y[2] - k[84]*y[11]*y[4]) +(k[85]*y[12]*y[1] - k[86]*y[11]*y[2]) -(k[93]*y[14]*y[2] - k[94]*y[13]*y[1]) -(k[99]*y[16]*y[2] - k[100]*y[15]*y[1]) +(k[101]*y[5]*y[4] - k[102]*y[2]*y[6]) +(k[105]*y[4]*y[8] - k[106]*y[7]*y[2]) -(k[107]*y[8]*y[2] - k[108]*y[4]*y[9]) +(k[109]*y[4]*y[16] - k[110]*y[2]*y[15]) -(k[111]*y[2]*y[6] - k[112]*y[17]*y[0]) -(k[113]*y[2]*y[7] - k[114]*y[1]*y[5]) -(k[115]*y[2]*y[9] - k[116]*y[1]*y[8]) -(k[117]*y[2]*y[13] - k[118]*y[1]*y[11]) -(k[119]*y[2]*y[15] - k[120]*y[1]*y[14]) +(k[121]*y[19]*y[0] - k[122]*y[2]*y[8]) -(k[133]*y[21]*y[2] - k[134]*y[17]*y[1]) +(k[139]*y[22]*y[4] - k[140]*y[20]*y[2]) -(k[141]*y[22]*y[2] - k[142]*y[20]*y[1]) -(k[149]*y[7]*y[2] - k[150]*y[20]*y[0]) +(k[167]*y[4]*y[13] - k[168]*y[11]*y[2]) +(k[177]*y[19]*y[7] - k[178]*y[2]*y[14]) -(k[197]*y[4]*y[2] - k[198]*y[25]*y[0]) +(k[209]*y[4]*y[20] - k[210]*y[21]*y[2]) +(k[227]*y[0]*y[32] - k[228]*y[2]*y[28]) +(k[257]*y[4]*y[29] - k[258]*y[2]*y[28]) +(k[261]*y[4]*y[35] - k[262]*y[2]*y[33]) -(k[263]*y[2]*y[29] - k[264]*y[1]*y[28]) -(k[265]*y[2]*y[30] - k[266]*y[4]*y[31]) -(k[267]*y[2]*y[31] - k[268]*y[1]*y[30]) -(k[269]*y[2]*y[31] - k[270]*y[33]*y[17]) -(k[271]*y[2]*y[29] - k[272]*y[4]*y[33]) -(k[273]*y[33]*y[2] - k[274]*y[1]*y[29]) +(k[295]*y[32]*y[29] - k[296]*y[34]*y[2]) +(k[311]*y[33]*y[1] - k[312]*y[35]*y[2]) -(k[335]*y[37]*y[2] - k[336]*y[38]*y[1]) +(k[339]*y[39]*y[4] - k[340]*y[37]*y[2]) -(k[341]*y[39]*y[2] - k[342]*y[37]*y[1]) -(k[347]*y[38]*y[2] - k[348]*y[34]*y[1]) +(k[349]*y[38]*y[4] - k[350]*y[34]*y[2]) +(k[353]*y[33]*y[32] - k[354]*y[38]*y[2]) +(k[357]*y[37]*y[4] - k[358]*y[38]*y[2]) -(k[361]*y[36]*y[2] - k[362]*y[31]*y[1]) -(k[367]*y[31]*y[2] - k[368]*y[42]*y[0]) +(k[379]*y[32]*y[8] - k[380]*y[36]*y[2]) +(k[389]*y[25]*y[8] - k[390]*y[2]*y[20]) +(k[397]*y[29]*y[25] - k[398]*y[32]*y[2]) +(k[401]*y[33]*y[25] - k[402]*y[41]*y[2]) +(k[407]*y[44]*y[0] - k[408]*y[34]*y[2]) -(k[427]*y[46]*y[2] - k[428]*y[19]*y[33]) -(k[447]*y[29]*y[2] - k[448]*y[41]*y[0]) -(k[449]*y[41]*y[2] - k[450]*y[32]*y[1]) +(k[451]*y[41]*y[4] - k[452]*y[32]*y[2]) -(k[459]*y[50]*y[2] - k[460]*y[43]*y[1]) +(k[461]*y[50]*y[0] - k[462]*y[41]*y[2]) -(k[479]*y[30]*y[2] - k[480]*y[51]*y[0]) +(k[483]*y[42]*y[4] - k[484]*y[51]*y[2]) -(k[485]*y[42]*y[2] - k[486]*y[51]*y[1]) +(k[497]*y[52]*y[0] - k[498]*y[2]*y[2]) +(k[497]*y[52]*y[0] - k[498]*y[2]*y[2]) +(k[503]*y[17]*y[52] - k[504]*y[18]*y[2]) +(k[505]*y[4]*y[53] - k[506]*y[2]*y[52]) -(k[507]*y[2]*y[53] - k[508]*y[1]*y[52]) +(k[511]*y[53]*y[0] - k[512]*y[2]*y[1]) +(k[513]*y[4]*y[52] - k[514]*y[2]*y[25]) -(k[521]*y[2]*y[52] - k[522]*y[1]*y[25]) -(k[533]*y[55]*y[2] - k[534]*y[56]*y[1]) +(k[535]*y[55]*y[4] - k[536]*y[56]*y[2]) -(k[557]*y[58]*y[2] - k[558]*y[21]*y[13]) +(k[559]*y[19]*y[12] - k[560]*y[2]*y[58]) +(k[575]*y[60]*y[3] - k[576]*y[2]*y[0]) +(k[577]*y[60]*y[9] - k[578]*y[2]*y[8]) +(k[579]*y[60]*y[1] - k[580]*y[2]*y[2]) +(k[579]*y[60]*y[1] - k[580]*y[2]*y[2]) +(k[583]*y[60]*y[35] - k[584]*y[2]*y[33]) +(k[601]*y[62]*y[1] - k[602]*y[29]*y[2]) +(k[609]*y[0]*y[4]*M - k[610]*y[2]*M) -(k[611]*y[2]*y[0]*M - k[612]*y[1]*M) -(k[653]*y[2]*y[11]*M - k[654]*y[24]*M) -(k[687]*y[32]*y[2]*M - k[688]*y[50]*M) -(k[693]*y[2]*y[2]*M - k[694]*y[53]*M) -(k[693]*y[2]*y[2]*M - k[694]*y[53]*M) -(k[719]*y[2]*y[8]*M - k[720]*y[23]*M) +(k[721]*y[1] - k[722]*y[0]*y[2]) -(k[765]*y[2] - k[766]*y[0]*y[4]) +(k[773]*y[23] - k[774]*y[8]*y[2]) +(k[801]*y[52] - k[802]*y[4]*y[2]) )
- df_list.append( +(k[1]*y[0]*y[1] - k[2]*y[2]*y[3]) -(k[3]*y[4]*y[3] - k[4]*y[2]*y[0]) +(k[7]*y[0]*y[5] - k[8]*y[3]*y[6]) +(k[9]*y[0]*y[7] - k[10]*y[5]*y[3]) -(k[11]*y[7]*y[3] - k[12]*y[0]*y[8]) +(k[13]*y[0]*y[9] - k[14]*y[8]*y[3]) -(k[19]*y[3]*y[12] - k[20]*y[0]*y[11]) +(k[23]*y[0]*y[13] - k[24]*y[11]*y[3]) -(k[25]*y[3]*y[13] - k[26]*y[0]*y[14]) +(k[33]*y[0]*y[15] - k[34]*y[14]*y[3]) +(k[35]*y[0]*y[16] - k[36]*y[15]*y[3]) +(k[39]*y[5]*y[8] - k[40]*y[3]*y[11]) -(k[73]*y[10]*y[3] - k[74]*y[0]*y[12]) +(k[123]*y[20]*y[0] - k[124]*y[21]*y[3]) +(k[131]*y[21]*y[0] - k[132]*y[17]*y[3]) +(k[143]*y[23]*y[0] - k[144]*y[22]*y[3]) +(k[155]*y[23]*y[0] - k[156]*y[19]*y[3]) +(k[173]*y[4]*y[7] - k[174]*y[17]*y[3]) +(k[199]*y[0]*y[22] - k[200]*y[20]*y[3]) +(k[229]*y[0]*y[29] - k[230]*y[3]*y[28]) +(k[231]*y[0]*y[33] - k[232]*y[3]*y[29]) -(k[233]*y[3]*y[30] - k[234]*y[0]*y[31]) +(k[303]*y[29]*y[29] - k[304]*y[34]*y[3]) -(k[305]*y[33]*y[3] - k[306]*y[35]*y[0]) +(k[309]*y[33]*y[4] - k[310]*y[3]*y[32]) +(k[331]*y[37]*y[0] - k[332]*y[38]*y[3]) +(k[337]*y[39]*y[0] - k[338]*y[37]*y[3]) +(k[345]*y[38]*y[0] - k[346]*y[34]*y[3]) +(k[371]*y[8]*y[28] - k[372]*y[31]*y[3]) +(k[377]*y[33]*y[33] - k[378]*y[37]*y[3]) +(k[381]*y[40]*y[0] - k[382]*y[39]*y[3]) +(k[421]*y[46]*y[0] - k[422]*y[47]*y[3]) +(k[429]*y[48]*y[0] - k[430]*y[46]*y[3]) +(k[431]*y[47]*y[0] - k[432]*y[36]*y[3]) +(k[433]*y[8]*y[33] - k[434]*y[47]*y[3]) +(k[445]*y[49]*y[0] - k[446]*y[3]*y[24]) +(k[453]*y[41]*y[0] - k[454]*y[32]*y[3]) +(k[463]*y[50]*y[0] - k[464]*y[43]*y[3]) +(k[481]*y[42]*y[0] - k[482]*y[51]*y[3]) -(k[495]*y[3]*y[41] - k[496]*y[29]*y[1]) +(k[501]*y[52]*y[0] - k[502]*y[25]*y[3]) +(k[509]*y[53]*y[0] - k[510]*y[3]*y[52]) +(k[523]*y[36]*y[0] - k[524]*y[31]*y[3]) +(k[531]*y[0]*y[55] - k[532]*y[56]*y[3]) +(k[551]*y[28]*y[35] - k[552]*y[38]*y[3]) +(k[561]*y[28]*y[58] - k[562]*y[54]*y[3]) +(k[565]*y[7]*y[11] - k[566]*y[59]*y[3]) -(k[575]*y[60]*y[3] - k[576]*y[2]*y[0]) -(k[589]*y[61]*y[3] - k[590]*y[8]*y[0]) -(k[591]*y[61]*y[3] - k[592]*y[7]*y[3]) +(k[591]*y[61]*y[3] - k[592]*y[7]*y[3]) -(k[599]*y[62]*y[3] - k[600]*y[29]*y[0]) +(k[607]*y[0]*y[0]*M - k[608]*y[3]*M) -(k[625]*y[3]*y[6]*M - k[626]*y[7]*M) -(k[631]*y[5]*y[3]*M - k[632]*y[8]*M) +(k[637]*y[14]*M - k[638]*y[11]*y[3]*M) +(k[639]*y[16]*M - k[640]*y[14]*y[3]*M) -(k[659]*y[17]*y[3]*M - k[660]*y[20]*M) -(k[665]*y[3]*y[28]*M - k[666]*y[33]*M) +(k[723]*y[1] - k[724]*y[3]*y[60]) +(k[729]*y[9] - k[730]*y[61]*y[3]) +(k[733]*y[9] - k[734]*y[5]*y[3]*y[0]) +(k[735]*y[8] - k[736]*y[5]*y[3]) -(k[741]*y[3] - k[742]*y[0]*y[0]) +(k[749]*y[14] - k[750]*y[11]*y[3]) +(k[755]*y[16] - k[756]*y[14]*y[3]) +(k[759]*y[16] - k[760]*y[11]*y[3]*y[3]) +(k[759]*y[16] - k[760]*y[11]*y[3]*y[3]) +(k[769]*y[20] - k[770]*y[3]*y[17]) +(k[775]*y[23] - k[776]*y[20]*y[3]) )
- df_list.append( -(k[3]*y[4]*y[3] - k[4]*y[2]*y[0]) -(k[5]*y[4]*y[1] - k[6]*y[2]*y[2]) -(k[41]*y[10]*y[4] - k[42]*y[6]*y[17]) -(k[57]*y[11]*y[4] - k[58]*y[7]*y[17]) -(k[81]*y[12]*y[4] - k[82]*y[5]*y[17]) +(k[83]*y[12]*y[2] - k[84]*y[11]*y[4]) -(k[101]*y[5]*y[4] - k[102]*y[2]*y[6]) -(k[103]*y[4]*y[5] - k[104]*y[0]*y[17]) -(k[105]*y[4]*y[8] - k[106]*y[7]*y[2]) +(k[107]*y[8]*y[2] - k[108]*y[4]*y[9]) -(k[109]*y[4]*y[16] - k[110]*y[2]*y[15]) -(k[125]*y[4]*y[14] - k[126]*y[21]*y[8]) -(k[137]*y[8]*y[4] - k[138]*y[20]*y[0]) -(k[139]*y[22]*y[4] - k[140]*y[20]*y[2]) -(k[147]*y[7]*y[4] - k[148]*y[17]*y[0]*y[0]) -(k[167]*y[4]*y[13] - k[168]*y[11]*y[2]) -(k[173]*y[4]*y[7] - k[174]*y[17]*y[3]) -(k[197]*y[4]*y[2] - k[198]*y[25]*y[0]) -(k[203]*y[4]*y[13] - k[204]*y[26]*y[0]) -(k[205]*y[11]*y[4] - k[206]*y[27]*y[0]) -(k[209]*y[4]*y[20] - k[210]*y[21]*y[2]) -(k[257]*y[4]*y[29] - k[258]*y[2]*y[28]) -(k[259]*y[4]*y[29] - k[260]*y[32]*y[0]) -(k[261]*y[4]*y[35] - k[262]*y[2]*y[33]) +(k[265]*y[2]*y[30] - k[266]*y[4]*y[31]) +(k[271]*y[2]*y[29] - k[272]*y[4]*y[33]) -(k[275]*y[30]*y[4] - k[276]*y[28]*y[17]) +(k[279]*y[28]*y[32] - k[280]*y[34]*y[4]) +(k[287]*y[32]*y[6] - k[288]*y[4]*y[30]) +(k[289]*y[32]*y[5] - k[290]*y[4]*y[31]) -(k[309]*y[33]*y[4] - k[310]*y[3]*y[32]) -(k[323]*y[31]*y[4] - k[324]*y[17]*y[29]) -(k[339]*y[39]*y[4] - k[340]*y[37]*y[2]) -(k[349]*y[38]*y[4] - k[350]*y[34]*y[2]) -(k[357]*y[37]*y[4] - k[358]*y[38]*y[2]) -(k[375]*y[38]*y[4] - k[376]*y[29]*y[32]) -(k[383]*y[4]*y[22] - k[384]*y[25]*y[8]) +(k[385]*y[25]*y[6] - k[386]*y[4]*y[17]) +(k[395]*y[28]*y[25] - k[396]*y[32]*y[4]) +(k[399]*y[29]*y[25] - k[400]*y[41]*y[4]) -(k[403]*y[43]*y[4] - k[404]*y[32]*y[25]) -(k[405]*y[44]*y[4] - k[406]*y[34]*y[25]) -(k[443]*y[4]*y[15] - k[444]*y[49]*y[0]) -(k[451]*y[41]*y[4] - k[452]*y[32]*y[2]) -(k[477]*y[31]*y[4] - k[478]*y[51]*y[0]) -(k[483]*y[42]*y[4] - k[484]*y[51]*y[2]) -(k[493]*y[33]*y[4] - k[494]*y[41]*y[0]) +(k[499]*y[52]*y[0] - k[500]*y[4]*y[1]) -(k[505]*y[4]*y[53] - k[506]*y[2]*y[52]) -(k[513]*y[4]*y[52] - k[514]*y[2]*y[25]) -(k[535]*y[55]*y[4] - k[536]*y[56]*y[2]) +(k[581]*y[60]*y[18] - k[582]*y[4]*y[18]) -(k[609]*y[0]*y[4]*M - k[610]*y[2]*M) -(k[641]*y[17]*y[4]*M - k[642]*y[18]*M) -(k[677]*y[32]*y[4]*M - k[678]*y[43]*M) +(k[679]*y[44]*M - k[680]*y[34]*y[4]*M) -(k[705]*y[4]*y[6]*M - k[706]*y[17]*M) -(k[709]*y[4]*y[28]*M - k[710]*y[32]*M) -(k[713]*y[4]*y[4]*M - k[714]*y[25]*M) -(k[713]*y[4]*y[4]*M - k[714]*y[25]*M) +(k[725]*y[1] - k[726]*y[0]*y[0]*y[4]) +(k[739]*y[17] - k[740]*y[6]*y[4]) +(k[745]*y[18] - k[746]*y[17]*y[4]) +(k[765]*y[2] - k[766]*y[0]*y[4]) +(k[791]*y[32] - k[792]*y[28]*y[4]) +(k[793]*y[43] - k[794]*y[32]*y[4]) +(k[801]*y[52] - k[802]*y[4]*y[2]) +(k[803]*y[25] - k[804]*y[4]*y[4]) +(k[803]*y[25] - k[804]*y[4]*y[4]) +(k[805]*y[25] - k[806]*y[4]*y[60]) )
- df_list.append( -(k[7]*y[0]*y[5] - k[8]*y[3]*y[6]) +(k[9]*y[0]*y[7] - k[10]*y[5]*y[3]) -(k[15]*y[6]*y[5] - k[16]*y[10]*y[0]) -(k[21]*y[5]*y[7] - k[22]*y[0]*y[11]) -(k[27]*y[5]*y[9] - k[28]*y[0]*y[14]) -(k[39]*y[5]*y[8] - k[40]*y[3]*y[11]) +(k[45]*y[7]*y[7] - k[46]*y[5]*y[8]) +(k[77]*y[12]*y[7] - k[78]*y[5]*y[11]) +(k[81]*y[12]*y[4] - k[82]*y[5]*y[17]) -(k[101]*y[5]*y[4] - k[102]*y[2]*y[6]) -(k[103]*y[4]*y[5] - k[104]*y[0]*y[17]) +(k[113]*y[2]*y[7] - k[114]*y[1]*y[5]) -(k[135]*y[18]*y[5] - k[136]*y[21]*y[17]) -(k[169]*y[5]*y[14] - k[170]*y[11]*y[8]) -(k[217]*y[28]*y[5] - k[218]*y[29]*y[6]) -(k[219]*y[28]*y[5] - k[220]*y[30]*y[0]) +(k[221]*y[28]*y[7] - k[222]*y[29]*y[5]) +(k[235]*y[7]*y[30] - k[236]*y[5]*y[31]) -(k[289]*y[32]*y[5] - k[290]*y[4]*y[31]) -(k[291]*y[32]*y[5] - k[292]*y[17]*y[29]) -(k[315]*y[35]*y[5] - k[316]*y[33]*y[7]) -(k[441]*y[5]*y[1] - k[442]*y[20]*y[0]) -(k[571]*y[5]*y[11] - k[572]*y[59]*y[0]) -(k[613]*y[0]*y[5]*M - k[614]*y[7]*M) -(k[627]*y[5]*M - k[628]*y[6]*y[0]*M) -(k[631]*y[5]*y[3]*M - k[632]*y[8]*M) -(k[647]*y[1]*y[5]*M - k[648]*y[19]*M) +(k[733]*y[9] - k[734]*y[5]*y[3]*y[0]) +(k[735]*y[8] - k[736]*y[5]*y[3]) +(k[813]*y[7] - k[814]*y[5]*y[0]) )
- df_list.append( +(k[7]*y[0]*y[5] - k[8]*y[3]*y[6]) -(k[15]*y[6]*y[5] - k[16]*y[10]*y[0]) -(k[17]*y[8]*y[6] - k[18]*y[0]*y[11]) +(k[41]*y[10]*y[4] - k[42]*y[6]*y[17]) +(k[101]*y[5]*y[4] - k[102]*y[2]*y[6]) -(k[111]*y[2]*y[6] - k[112]*y[17]*y[0]) +(k[217]*y[28]*y[5] - k[218]*y[29]*y[6]) +(k[225]*y[28]*y[10] - k[226]*y[30]*y[6]) +(k[283]*y[28]*y[30] - k[284]*y[34]*y[6]) -(k[287]*y[32]*y[6] - k[288]*y[4]*y[30]) -(k[301]*y[29]*y[6] - k[302]*y[0]*y[30]) -(k[385]*y[25]*y[6] - k[386]*y[4]*y[17]) -(k[625]*y[3]*y[6]*M - k[626]*y[7]*M) +(k[627]*y[5]*M - k[628]*y[6]*y[0]*M) -(k[689]*y[6]*y[6]*M - k[690]*y[10]*M) -(k[689]*y[6]*y[6]*M - k[690]*y[10]*M) -(k[705]*y[4]*y[6]*M - k[706]*y[17]*M) +(k[739]*y[17] - k[740]*y[6]*y[4]) )
- df_list.append( -(k[9]*y[0]*y[7] - k[10]*y[5]*y[3]) -(k[11]*y[7]*y[3] - k[12]*y[0]*y[8]) -(k[21]*y[5]*y[7] - k[22]*y[0]*y[11]) -(k[29]*y[7]*y[8] - k[30]*y[0]*y[14]) -(k[43]*y[7]*y[7] - k[44]*y[11]*y[0]*y[0]) -(k[43]*y[7]*y[7] - k[44]*y[11]*y[0]*y[0]) -(k[45]*y[7]*y[7] - k[46]*y[5]*y[8]) -(k[45]*y[7]*y[7] - k[46]*y[5]*y[8]) -(k[47]*y[7]*y[7] - k[48]*y[0]*y[13]) -(k[47]*y[7]*y[7] - k[48]*y[0]*y[13]) -(k[49]*y[7]*y[9] - k[50]*y[8]*y[8]) -(k[51]*y[7]*y[15] - k[52]*y[8]*y[14]) +(k[53]*y[8]*y[2] - k[54]*y[7]*y[1]) +(k[55]*y[12]*y[2] - k[56]*y[7]*y[17]) +(k[57]*y[11]*y[4] - k[58]*y[7]*y[17]) +(k[59]*y[8]*y[12] - k[60]*y[11]*y[7]) -(k[77]*y[12]*y[7] - k[78]*y[5]*y[11]) +(k[105]*y[4]*y[8] - k[106]*y[7]*y[2]) -(k[113]*y[2]*y[7] - k[114]*y[1]*y[5]) -(k[147]*y[7]*y[4] - k[148]*y[17]*y[0]*y[0]) -(k[149]*y[7]*y[2] - k[150]*y[20]*y[0]) -(k[151]*y[18]*y[7] - k[152]*y[20]*y[17]) -(k[171]*y[7]*y[13] - k[172]*y[11]*y[8]) -(k[173]*y[4]*y[7] - k[174]*y[17]*y[3]) -(k[175]*y[21]*y[7] - k[176]*y[17]*y[8]) -(k[177]*y[19]*y[7] - k[178]*y[2]*y[14]) -(k[179]*y[19]*y[7] - k[180]*y[20]*y[8]) -(k[181]*y[22]*y[7] - k[182]*y[20]*y[8]) -(k[183]*y[23]*y[7] - k[184]*y[22]*y[8]) -(k[185]*y[23]*y[7] - k[186]*y[19]*y[8]) +(k[207]*y[27]*y[0] - k[208]*y[17]*y[7]) -(k[221]*y[28]*y[7] - k[222]*y[29]*y[5]) -(k[223]*y[28]*y[7] - k[224]*y[31]*y[0]) -(k[235]*y[7]*y[30] - k[236]*y[5]*y[31]) +(k[241]*y[8]*y[30] - k[242]*y[7]*y[31]) -(k[285]*y[34]*y[7] - k[286]*y[29]*y[31]) +(k[315]*y[35]*y[5] - k[316]*y[33]*y[7]) -(k[363]*y[32]*y[7] - k[364]*y[42]*y[0]) +(k[373]*y[8]*y[33] - k[374]*y[35]*y[7]) -(k[387]*y[25]*y[7] - k[388]*y[1]*y[17]) -(k[565]*y[7]*y[11] - k[566]*y[59]*y[3]) -(k[567]*y[7]*y[11] - k[568]*y[58]*y[0]) -(k[569]*y[7]*y[12] - k[570]*y[59]*y[0]) +(k[591]*y[61]*y[3] - k[592]*y[7]*y[3]) +(k[593]*y[61]*y[1] - k[594]*y[7]*y[1]) +(k[595]*y[61]*y[17] - k[596]*y[7]*y[17]) +(k[613]*y[0]*y[5]*M - k[614]*y[7]*M) +(k[625]*y[3]*y[6]*M - k[626]*y[7]*M) -(k[629]*y[7]*y[0]*M - k[630]*y[8]*M) -(k[813]*y[7] - k[814]*y[5]*y[0]) )
- df_list.append( +(k[11]*y[7]*y[3] - k[12]*y[0]*y[8]) +(k[13]*y[0]*y[9] - k[14]*y[8]*y[3]) -(k[17]*y[8]*y[6] - k[18]*y[0]*y[11]) -(k[29]*y[7]*y[8] - k[30]*y[0]*y[14]) +(k[31]*y[0]*y[15] - k[32]*y[8]*y[8]) +(k[31]*y[0]*y[15] - k[32]*y[8]*y[8]) -(k[39]*y[5]*y[8] - k[40]*y[3]*y[11]) +(k[45]*y[7]*y[7] - k[46]*y[5]*y[8]) +(k[49]*y[7]*y[9] - k[50]*y[8]*y[8]) +(k[49]*y[7]*y[9] - k[50]*y[8]*y[8]) +(k[51]*y[7]*y[15] - k[52]*y[8]*y[14]) -(k[53]*y[8]*y[2] - k[54]*y[7]*y[1]) -(k[59]*y[8]*y[12] - k[60]*y[11]*y[7]) +(k[61]*y[9]*y[12] - k[62]*y[8]*y[11]) -(k[63]*y[8]*y[13] - k[64]*y[9]*y[11]) +(k[65]*y[9]*y[13] - k[66]*y[8]*y[14]) -(k[67]*y[8]*y[15] - k[68]*y[9]*y[14]) -(k[69]*y[8]*y[16] - k[70]*y[9]*y[15]) +(k[71]*y[11]*y[2] - k[72]*y[8]*y[17]) +(k[75]*y[10]*y[9] - k[76]*y[8]*y[12]) -(k[105]*y[4]*y[8] - k[106]*y[7]*y[2]) -(k[107]*y[8]*y[2] - k[108]*y[4]*y[9]) +(k[115]*y[2]*y[9] - k[116]*y[1]*y[8]) +(k[121]*y[19]*y[0] - k[122]*y[2]*y[8]) +(k[125]*y[4]*y[14] - k[126]*y[21]*y[8]) -(k[127]*y[20]*y[8] - k[128]*y[9]*y[21]) -(k[129]*y[8]*y[19] - k[130]*y[20]*y[9]) -(k[137]*y[8]*y[4] - k[138]*y[20]*y[0]) +(k[145]*y[23]*y[0] - k[146]*y[8]*y[1]) +(k[153]*y[22]*y[17] - k[154]*y[8]*y[18]) +(k[169]*y[5]*y[14] - k[170]*y[11]*y[8]) +(k[171]*y[7]*y[13] - k[172]*y[11]*y[8]) +(k[175]*y[21]*y[7] - k[176]*y[17]*y[8]) +(k[179]*y[19]*y[7] - k[180]*y[20]*y[8]) +(k[181]*y[22]*y[7] - k[182]*y[20]*y[8]) +(k[183]*y[23]*y[7] - k[184]*y[22]*y[8]) +(k[185]*y[23]*y[7] - k[186]*y[19]*y[8]) -(k[187]*y[21]*y[8] - k[188]*y[17]*y[9]) -(k[189]*y[22]*y[8] - k[190]*y[20]*y[9]) -(k[191]*y[23]*y[8] - k[192]*y[22]*y[9]) +(k[193]*y[24]*y[0] - k[194]*y[21]*y[8]) -(k[195]*y[24]*y[8] - k[196]*y[17]*y[16]) +(k[201]*y[0]*y[26] - k[202]*y[17]*y[8]) -(k[237]*y[8]*y[29] - k[238]*y[9]*y[28]) -(k[239]*y[8]*y[33] - k[240]*y[9]*y[29]) -(k[241]*y[8]*y[30] - k[242]*y[7]*y[31]) +(k[243]*y[9]*y[30] - k[244]*y[31]*y[8]) -(k[293]*y[32]*y[8] - k[294]*y[31]*y[1]) +(k[307]*y[33]*y[9] - k[308]*y[8]*y[35]) -(k[333]*y[37]*y[8] - k[334]*y[38]*y[9]) -(k[369]*y[8]*y[28] - k[370]*y[36]*y[0]) -(k[371]*y[8]*y[28] - k[372]*y[31]*y[3]) -(k[373]*y[8]*y[33] - k[374]*y[35]*y[7]) -(k[379]*y[32]*y[8] - k[380]*y[36]*y[2]) +(k[383]*y[4]*y[22] - k[384]*y[25]*y[8]) -(k[389]*y[25]*y[8] - k[390]*y[2]*y[20]) -(k[415]*y[43]*y[8] - k[416]*y[32]*y[22]) -(k[425]*y[46]*y[8] - k[426]*y[33]*y[15]) -(k[433]*y[8]*y[33] - k[434]*y[47]*y[3]) -(k[435]*y[8]*y[33] - k[436]*y[46]*y[0]) -(k[437]*y[48]*y[8] - k[438]*y[46]*y[9]) +(k[515]*y[25]*y[9] - k[516]*y[8]*y[52]) +(k[529]*y[0]*y[55] - k[530]*y[31]*y[8]) +(k[547]*y[52]*y[9] - k[548]*y[8]*y[53]) +(k[553]*y[12]*y[15] - k[554]*y[58]*y[8]) +(k[555]*y[13]*y[13] - k[556]*y[8]*y[58]) -(k[573]*y[8]*y[12] - k[574]*y[58]*y[0]) +(k[577]*y[60]*y[9] - k[578]*y[2]*y[8]) +(k[589]*y[61]*y[3] - k[590]*y[8]*y[0]) -(k[615]*y[0]*y[8]*M - k[616]*y[9]*M) +(k[629]*y[7]*y[0]*M - k[630]*y[8]*M) +(k[631]*y[5]*y[3]*M - k[632]*y[8]*M) -(k[633]*y[8]*y[8]*M - k[634]*y[16]*M) -(k[633]*y[8]*y[8]*M - k[634]*y[16]*M) -(k[655]*y[17]*y[8]*M - k[656]*y[24]*M) -(k[683]*y[33]*y[8]*M - k[684]*y[48]*M) -(k[719]*y[2]*y[8]*M - k[720]*y[23]*M) +(k[727]*y[9] - k[728]*y[8]*y[0]) -(k[735]*y[8] - k[736]*y[5]*y[3]) -(k[737]*y[8] - k[738]*y[61]*y[0]) +(k[763]*y[16] - k[764]*y[8]*y[8]) +(k[763]*y[16] - k[764]*y[8]*y[8]) +(k[773]*y[23] - k[774]*y[8]*y[2]) +(k[781]*y[49] - k[782]*y[8]*y[21]) )
- df_list.append( -(k[13]*y[0]*y[9] - k[14]*y[8]*y[3]) -(k[27]*y[5]*y[9] - k[28]*y[0]*y[14]) -(k[49]*y[7]*y[9] - k[50]*y[8]*y[8]) -(k[61]*y[9]*y[12] - k[62]*y[8]*y[11]) +(k[63]*y[8]*y[13] - k[64]*y[9]*y[11]) -(k[65]*y[9]*y[13] - k[66]*y[8]*y[14]) +(k[67]*y[8]*y[15] - k[68]*y[9]*y[14]) +(k[69]*y[8]*y[16] - k[70]*y[9]*y[15]) -(k[75]*y[10]*y[9] - k[76]*y[8]*y[12]) +(k[107]*y[8]*y[2] - k[108]*y[4]*y[9]) -(k[115]*y[2]*y[9] - k[116]*y[1]*y[8]) +(k[127]*y[20]*y[8] - k[128]*y[9]*y[21]) +(k[129]*y[8]*y[19] - k[130]*y[20]*y[9]) +(k[187]*y[21]*y[8] - k[188]*y[17]*y[9]) +(k[189]*y[22]*y[8] - k[190]*y[20]*y[9]) +(k[191]*y[23]*y[8] - k[192]*y[22]*y[9]) +(k[237]*y[8]*y[29] - k[238]*y[9]*y[28]) +(k[239]*y[8]*y[33] - k[240]*y[9]*y[29]) -(k[243]*y[9]*y[30] - k[244]*y[31]*y[8]) -(k[307]*y[33]*y[9] - k[308]*y[8]*y[35]) +(k[333]*y[37]*y[8] - k[334]*y[38]*y[9]) +(k[437]*y[48]*y[8] - k[438]*y[46]*y[9]) -(k[515]*y[25]*y[9] - k[516]*y[8]*y[52]) -(k[547]*y[52]*y[9] - k[548]*y[8]*y[53]) -(k[577]*y[60]*y[9] - k[578]*y[2]*y[8]) +(k[615]*y[0]*y[8]*M - k[616]*y[9]*M) -(k[727]*y[9] - k[728]*y[8]*y[0]) -(k[729]*y[9] - k[730]*y[61]*y[3]) -(k[731]*y[9] - k[732]*y[61]*y[0]*y[0]) -(k[733]*y[9] - k[734]*y[5]*y[3]*y[0]) +(k[761]*y[16] - k[762]*y[9]*y[61]) +(k[779]*y[49] - k[780]*y[9]*y[17]) )
- df_list.append( +(k[15]*y[6]*y[5] - k[16]*y[10]*y[0]) -(k[41]*y[10]*y[4] - k[42]*y[6]*y[17]) -(k[73]*y[10]*y[3] - k[74]*y[0]*y[12]) -(k[75]*y[10]*y[9] - k[76]*y[8]*y[12]) -(k[225]*y[28]*y[10] - k[226]*y[30]*y[6]) -(k[245]*y[10]*y[34] - k[246]*y[30]*y[30]) -(k[541]*y[57]*y[10] - k[542]*y[31]*y[45]) -(k[543]*y[57]*y[10] - k[544]*y[54]*y[11]) +(k[689]*y[6]*y[6]*M - k[690]*y[10]*M) +(k[703]*y[12]*M - k[704]*y[10]*y[0]*M) +(k[811]*y[45] - k[812]*y[11]*y[10]) )
- df_list.append( +(k[17]*y[8]*y[6] - k[18]*y[0]*y[11]) +(k[19]*y[3]*y[12] - k[20]*y[0]*y[11]) +(k[21]*y[5]*y[7] - k[22]*y[0]*y[11]) +(k[23]*y[0]*y[13] - k[24]*y[11]*y[3]) +(k[39]*y[5]*y[8] - k[40]*y[3]*y[11]) +(k[43]*y[7]*y[7] - k[44]*y[11]*y[0]*y[0]) -(k[57]*y[11]*y[4] - k[58]*y[7]*y[17]) +(k[59]*y[8]*y[12] - k[60]*y[11]*y[7]) +(k[61]*y[9]*y[12] - k[62]*y[8]*y[11]) +(k[63]*y[8]*y[13] - k[64]*y[9]*y[11]) -(k[71]*y[11]*y[2] - k[72]*y[8]*y[17]) +(k[77]*y[12]*y[7] - k[78]*y[5]*y[11]) +(k[79]*y[12]*y[16] - k[80]*y[11]*y[15]) +(k[83]*y[12]*y[2] - k[84]*y[11]*y[4]) +(k[85]*y[12]*y[1] - k[86]*y[11]*y[2]) +(k[87]*y[13]*y[13] - k[88]*y[14]*y[11]) +(k[91]*y[13]*y[15] - k[92]*y[16]*y[11]) +(k[117]*y[2]*y[13] - k[118]*y[1]*y[11]) +(k[157]*y[21]*y[12] - k[158]*y[11]*y[17]) +(k[159]*y[19]*y[12] - k[160]*y[20]*y[11]) +(k[161]*y[22]*y[12] - k[162]*y[20]*y[11]) +(k[163]*y[23]*y[12] - k[164]*y[19]*y[11]) +(k[165]*y[23]*y[12] - k[166]*y[22]*y[11]) +(k[167]*y[4]*y[13] - k[168]*y[11]*y[2]) +(k[169]*y[5]*y[14] - k[170]*y[11]*y[8]) +(k[171]*y[7]*y[13] - k[172]*y[11]*y[8]) -(k[205]*y[11]*y[4] - k[206]*y[27]*y[0]) +(k[247]*y[33]*y[12] - k[248]*y[29]*y[11]) +(k[249]*y[33]*y[13] - k[250]*y[35]*y[11]) -(k[419]*y[12]*y[11] - k[420]*y[45]*y[0]) -(k[525]*y[30]*y[11] - k[526]*y[54]*y[0]) +(k[543]*y[57]*y[10] - k[544]*y[54]*y[11]) -(k[565]*y[7]*y[11] - k[566]*y[59]*y[3]) -(k[567]*y[7]*y[11] - k[568]*y[58]*y[0]) -(k[571]*y[5]*y[11] - k[572]*y[59]*y[0]) -(k[597]*y[61]*y[11] - k[598]*y[58]*y[0]) -(k[617]*y[0]*y[11]*M - k[618]*y[13]*M) +(k[635]*y[12]*y[0]*M - k[636]*y[11]*M) +(k[637]*y[14]*M - k[638]*y[11]*y[3]*M) -(k[653]*y[2]*y[11]*M - k[654]*y[24]*M) -(k[743]*y[11] - k[744]*y[12]*y[0]) +(k[749]*y[14] - k[750]*y[11]*y[3]) +(k[751]*y[14] - k[752]*y[11]*y[0]*y[0]) +(k[759]*y[16] - k[760]*y[11]*y[3]*y[3]) +(k[809]*y[64] - k[810]*y[11]*y[11]*y[11]) +(k[809]*y[64] - k[810]*y[11]*y[11]*y[11]) +(k[809]*y[64] - k[810]*y[11]*y[11]*y[11]) +(k[811]*y[45] - k[812]*y[11]*y[10]) )
- df_list.append( -(k[19]*y[3]*y[12] - k[20]*y[0]*y[11]) -(k[55]*y[12]*y[2] - k[56]*y[7]*y[17]) -(k[59]*y[8]*y[12] - k[60]*y[11]*y[7]) -(k[61]*y[9]*y[12] - k[62]*y[8]*y[11]) +(k[73]*y[10]*y[3] - k[74]*y[0]*y[12]) +(k[75]*y[10]*y[9] - k[76]*y[8]*y[12]) -(k[77]*y[12]*y[7] - k[78]*y[5]*y[11]) -(k[79]*y[12]*y[16] - k[80]*y[11]*y[15]) -(k[81]*y[12]*y[4] - k[82]*y[5]*y[17]) -(k[83]*y[12]*y[2] - k[84]*y[11]*y[4]) -(k[85]*y[12]*y[1] - k[86]*y[11]*y[2]) -(k[157]*y[21]*y[12] - k[158]*y[11]*y[17]) -(k[159]*y[19]*y[12] - k[160]*y[20]*y[11]) -(k[161]*y[22]*y[12] - k[162]*y[20]*y[11]) -(k[163]*y[23]*y[12] - k[164]*y[19]*y[11]) -(k[165]*y[23]*y[12] - k[166]*y[22]*y[11]) -(k[247]*y[33]*y[12] - k[248]*y[29]*y[11]) -(k[391]*y[25]*y[12] - k[392]*y[17]*y[21]) -(k[419]*y[12]*y[11] - k[420]*y[45]*y[0]) -(k[527]*y[31]*y[12] - k[528]*y[54]*y[0]) -(k[553]*y[12]*y[15] - k[554]*y[58]*y[8]) -(k[559]*y[19]*y[12] - k[560]*y[2]*y[58]) -(k[569]*y[7]*y[12] - k[570]*y[59]*y[0]) -(k[573]*y[8]*y[12] - k[574]*y[58]*y[0]) -(k[635]*y[12]*y[0]*M - k[636]*y[11]*M) -(k[703]*y[12]*M - k[704]*y[10]*y[0]*M) +(k[743]*y[11] - k[744]*y[12]*y[0]) )
- df_list.append( -(k[23]*y[0]*y[13] - k[24]*y[11]*y[3]) -(k[25]*y[3]*y[13] - k[26]*y[0]*y[14]) +(k[47]*y[7]*y[7] - k[48]*y[0]*y[13]) -(k[63]*y[8]*y[13] - k[64]*y[9]*y[11]) -(k[65]*y[9]*y[13] - k[66]*y[8]*y[14]) -(k[87]*y[13]*y[13] - k[88]*y[14]*y[11]) -(k[87]*y[13]*y[13] - k[88]*y[14]*y[11]) -(k[89]*y[13]*y[15] - k[90]*y[14]*y[14]) -(k[91]*y[13]*y[15] - k[92]*y[16]*y[11]) +(k[93]*y[14]*y[2] - k[94]*y[13]*y[1]) +(k[97]*y[15]*y[14] - k[98]*y[13]*y[16]) -(k[117]*y[2]*y[13] - k[118]*y[1]*y[11]) -(k[167]*y[4]*y[13] - k[168]*y[11]*y[2]) -(k[171]*y[7]*y[13] - k[172]*y[11]*y[8]) -(k[203]*y[4]*y[13] - k[204]*y[26]*y[0]) -(k[249]*y[33]*y[13] - k[250]*y[35]*y[11]) +(k[251]*y[33]*y[14] - k[252]*y[35]*y[13]) -(k[393]*y[25]*y[13] - k[394]*y[20]*y[21]) -(k[539]*y[31]*y[13] - k[540]*y[57]*y[0]) -(k[545]*y[28]*y[13] - k[546]*y[56]*y[0]) -(k[555]*y[13]*y[13] - k[556]*y[8]*y[58]) -(k[555]*y[13]*y[13] - k[556]*y[8]*y[58]) +(k[557]*y[58]*y[2] - k[558]*y[21]*y[13]) +(k[617]*y[0]*y[11]*M - k[618]*y[13]*M) -(k[619]*y[0]*y[13]*M - k[620]*y[14]*M) +(k[753]*y[14] - k[754]*y[13]*y[0]) )
- df_list.append( +(k[25]*y[3]*y[13] - k[26]*y[0]*y[14]) +(k[27]*y[5]*y[9] - k[28]*y[0]*y[14]) +(k[29]*y[7]*y[8] - k[30]*y[0]*y[14]) +(k[33]*y[0]*y[15] - k[34]*y[14]*y[3]) +(k[51]*y[7]*y[15] - k[52]*y[8]*y[14]) +(k[65]*y[9]*y[13] - k[66]*y[8]*y[14]) +(k[67]*y[8]*y[15] - k[68]*y[9]*y[14]) +(k[87]*y[13]*y[13] - k[88]*y[14]*y[11]) +(k[89]*y[13]*y[15] - k[90]*y[14]*y[14]) +(k[89]*y[13]*y[15] - k[90]*y[14]*y[14]) -(k[93]*y[14]*y[2] - k[94]*y[13]*y[1]) +(k[95]*y[15]*y[15] - k[96]*y[14]*y[16]) -(k[97]*y[15]*y[14] - k[98]*y[13]*y[16]) +(k[119]*y[2]*y[15] - k[120]*y[1]*y[14]) -(k[125]*y[4]*y[14] - k[126]*y[21]*y[8]) -(k[169]*y[5]*y[14] - k[170]*y[11]*y[8]) +(k[177]*y[19]*y[7] - k[178]*y[2]*y[14]) -(k[251]*y[33]*y[14] - k[252]*y[35]*y[13]) +(k[253]*y[33]*y[15] - k[254]*y[35]*y[14]) -(k[537]*y[30]*y[14] - k[538]*y[57]*y[0]) +(k[619]*y[0]*y[13]*M - k[620]*y[14]*M) -(k[621]*y[0]*y[14]*M - k[622]*y[15]*M) -(k[637]*y[14]*M - k[638]*y[11]*y[3]*M) +(k[639]*y[16]*M - k[640]*y[14]*y[3]*M) -(k[749]*y[14] - k[750]*y[11]*y[3]) -(k[751]*y[14] - k[752]*y[11]*y[0]*y[0]) -(k[753]*y[14] - k[754]*y[13]*y[0]) +(k[755]*y[16] - k[756]*y[14]*y[3]) +(k[757]*y[16] - k[758]*y[14]*y[0]*y[0]) )
- df_list.append( -(k[31]*y[0]*y[15] - k[32]*y[8]*y[8]) -(k[33]*y[0]*y[15] - k[34]*y[14]*y[3]) +(k[35]*y[0]*y[16] - k[36]*y[15]*y[3]) -(k[51]*y[7]*y[15] - k[52]*y[8]*y[14]) -(k[67]*y[8]*y[15] - k[68]*y[9]*y[14]) +(k[69]*y[8]*y[16] - k[70]*y[9]*y[15]) +(k[79]*y[12]*y[16] - k[80]*y[11]*y[15]) -(k[89]*y[13]*y[15] - k[90]*y[14]*y[14]) -(k[91]*y[13]*y[15] - k[92]*y[16]*y[11]) -(k[95]*y[15]*y[15] - k[96]*y[14]*y[16]) -(k[95]*y[15]*y[15] - k[96]*y[14]*y[16]) -(k[97]*y[15]*y[14] - k[98]*y[13]*y[16]) +(k[99]*y[16]*y[2] - k[100]*y[15]*y[1]) +(k[109]*y[4]*y[16] - k[110]*y[2]*y[15]) -(k[119]*y[2]*y[15] - k[120]*y[1]*y[14]) -(k[253]*y[33]*y[15] - k[254]*y[35]*y[14]) +(k[255]*y[33]*y[16] - k[256]*y[35]*y[15]) +(k[321]*y[30]*y[16] - k[322]*y[15]*y[31]) +(k[425]*y[46]*y[8] - k[426]*y[33]*y[15]) -(k[443]*y[4]*y[15] - k[444]*y[49]*y[0]) +(k[517]*y[25]*y[16] - k[518]*y[15]*y[52]) -(k[553]*y[12]*y[15] - k[554]*y[58]*y[8]) +(k[621]*y[0]*y[14]*M - k[622]*y[15]*M) -(k[623]*y[0]*y[15]*M - k[624]*y[16]*M) )
- df_list.append( -(k[35]*y[0]*y[16] - k[36]*y[15]*y[3]) -(k[69]*y[8]*y[16] - k[70]*y[9]*y[15]) -(k[79]*y[12]*y[16] - k[80]*y[11]*y[15]) +(k[91]*y[13]*y[15] - k[92]*y[16]*y[11]) +(k[95]*y[15]*y[15] - k[96]*y[14]*y[16]) +(k[97]*y[15]*y[14] - k[98]*y[13]*y[16]) -(k[99]*y[16]*y[2] - k[100]*y[15]*y[1]) -(k[109]*y[4]*y[16] - k[110]*y[2]*y[15]) +(k[195]*y[24]*y[8] - k[196]*y[17]*y[16]) -(k[255]*y[33]*y[16] - k[256]*y[35]*y[15]) -(k[321]*y[30]*y[16] - k[322]*y[15]*y[31]) -(k[517]*y[25]*y[16] - k[518]*y[15]*y[52]) +(k[623]*y[0]*y[15]*M - k[624]*y[16]*M) +(k[633]*y[8]*y[8]*M - k[634]*y[16]*M) -(k[639]*y[16]*M - k[640]*y[14]*y[3]*M) -(k[755]*y[16] - k[756]*y[14]*y[3]) -(k[757]*y[16] - k[758]*y[14]*y[0]*y[0]) -(k[759]*y[16] - k[760]*y[11]*y[3]*y[3]) -(k[761]*y[16] - k[762]*y[9]*y[61]) -(k[763]*y[16] - k[764]*y[8]*y[8]) )
- df_list.append( -(k[37]*y[2]*y[17] - k[38]*y[0]*y[18]) +(k[41]*y[10]*y[4] - k[42]*y[6]*y[17]) +(k[55]*y[12]*y[2] - k[56]*y[7]*y[17]) +(k[57]*y[11]*y[4] - k[58]*y[7]*y[17]) +(k[71]*y[11]*y[2] - k[72]*y[8]*y[17]) +(k[81]*y[12]*y[4] - k[82]*y[5]*y[17]) +(k[103]*y[4]*y[5] - k[104]*y[0]*y[17]) +(k[111]*y[2]*y[6] - k[112]*y[17]*y[0]) +(k[131]*y[21]*y[0] - k[132]*y[17]*y[3]) +(k[133]*y[21]*y[2] - k[134]*y[17]*y[1]) +(k[135]*y[18]*y[5] - k[136]*y[21]*y[17]) +(k[147]*y[7]*y[4] - k[148]*y[17]*y[0]*y[0]) +(k[151]*y[18]*y[7] - k[152]*y[20]*y[17]) -(k[153]*y[22]*y[17] - k[154]*y[8]*y[18]) +(k[157]*y[21]*y[12] - k[158]*y[11]*y[17]) +(k[173]*y[4]*y[7] - k[174]*y[17]*y[3]) +(k[175]*y[21]*y[7] - k[176]*y[17]*y[8]) +(k[187]*y[21]*y[8] - k[188]*y[17]*y[9]) +(k[195]*y[24]*y[8] - k[196]*y[17]*y[16]) +(k[201]*y[0]*y[26] - k[202]*y[17]*y[8]) +(k[207]*y[27]*y[0] - k[208]*y[17]*y[7]) +(k[211]*y[21]*y[21] - k[212]*y[20]*y[17]) +(k[269]*y[2]*y[31] - k[270]*y[33]*y[17]) +(k[275]*y[30]*y[4] - k[276]*y[28]*y[17]) +(k[277]*y[28]*y[18] - k[278]*y[17]*y[32]) +(k[291]*y[32]*y[5] - k[292]*y[17]*y[29]) +(k[299]*y[32]*y[30] - k[300]*y[34]*y[17]) +(k[323]*y[31]*y[4] - k[324]*y[17]*y[29]) +(k[365]*y[42]*y[0] - k[366]*y[17]*y[33]) +(k[385]*y[25]*y[6] - k[386]*y[4]*y[17]) +(k[387]*y[25]*y[7] - k[388]*y[1]*y[17]) +(k[391]*y[25]*y[12] - k[392]*y[17]*y[21]) +(k[457]*y[32]*y[21] - k[458]*y[41]*y[17]) +(k[473]*y[51]*y[21] - k[474]*y[42]*y[17]) +(k[475]*y[30]*y[18] - k[476]*y[17]*y[51]) -(k[503]*y[17]*y[52] - k[504]*y[18]*y[2]) +(k[519]*y[21]*y[25] - k[520]*y[17]*y[52]) -(k[585]*y[60]*y[17] - k[586]*y[18]) -(k[595]*y[61]*y[17] - k[596]*y[7]*y[17]) +(k[595]*y[61]*y[17] - k[596]*y[7]*y[17]) -(k[641]*y[17]*y[4]*M - k[642]*y[18]*M) -(k[645]*y[0]*y[17]*M - k[646]*y[21]*M) -(k[655]*y[17]*y[8]*M - k[656]*y[24]*M) -(k[659]*y[17]*y[3]*M - k[660]*y[20]*M) +(k[673]*y[42]*M - k[674]*y[17]*y[29]*M) +(k[705]*y[4]*y[6]*M - k[706]*y[17]*M) -(k[739]*y[17] - k[740]*y[6]*y[4]) +(k[745]*y[18] - k[746]*y[17]*y[4]) +(k[747]*y[18] - k[748]*y[17]*y[60]) +(k[767]*y[21] - k[768]*y[0]*y[17]) +(k[769]*y[20] - k[770]*y[3]*y[17]) +(k[779]*y[49] - k[780]*y[9]*y[17]) +(k[797]*y[42] - k[798]*y[29]*y[17]) )
- df_list.append( +(k[37]*y[2]*y[17] - k[38]*y[0]*y[18]) -(k[135]*y[18]*y[5] - k[136]*y[21]*y[17]) -(k[151]*y[18]*y[7] - k[152]*y[20]*y[17]) +(k[153]*y[22]*y[17] - k[154]*y[8]*y[18]) -(k[277]*y[28]*y[18] - k[278]*y[17]*y[32]) -(k[475]*y[30]*y[18] - k[476]*y[17]*y[51]) +(k[503]*y[17]*y[52] - k[504]*y[18]*y[2]) -(k[581]*y[60]*y[18] - k[582]*y[4]*y[18]) +(k[581]*y[60]*y[18] - k[582]*y[4]*y[18]) +(k[585]*y[60]*y[17] - k[586]*y[18]) +(k[641]*y[17]*y[4]*M - k[642]*y[18]*M) -(k[745]*y[18] - k[746]*y[17]*y[4]) -(k[747]*y[18] - k[748]*y[17]*y[60]) )
- df_list.append( -(k[121]*y[19]*y[0] - k[122]*y[2]*y[8]) -(k[129]*y[8]*y[19] - k[130]*y[20]*y[9]) +(k[155]*y[23]*y[0] - k[156]*y[19]*y[3]) -(k[159]*y[19]*y[12] - k[160]*y[20]*y[11]) +(k[163]*y[23]*y[12] - k[164]*y[19]*y[11]) -(k[177]*y[19]*y[7] - k[178]*y[2]*y[14]) -(k[179]*y[19]*y[7] - k[180]*y[20]*y[8]) +(k[185]*y[23]*y[7] - k[186]*y[19]*y[8]) -(k[213]*y[19]*y[22] - k[214]*y[20]*y[23]) +(k[427]*y[46]*y[2] - k[428]*y[19]*y[33]) -(k[559]*y[19]*y[12] - k[560]*y[2]*y[58]) -(k[643]*y[19]*M - k[644]*y[0]*y[20]*M) +(k[647]*y[1]*y[5]*M - k[648]*y[19]*M) -(k[651]*y[19]*y[0]*M - k[652]*y[23]*M) )
- df_list.append( -(k[123]*y[20]*y[0] - k[124]*y[21]*y[3]) -(k[127]*y[20]*y[8] - k[128]*y[9]*y[21]) +(k[129]*y[8]*y[19] - k[130]*y[20]*y[9]) +(k[137]*y[8]*y[4] - k[138]*y[20]*y[0]) +(k[139]*y[22]*y[4] - k[140]*y[20]*y[2]) +(k[141]*y[22]*y[2] - k[142]*y[20]*y[1]) +(k[149]*y[7]*y[2] - k[150]*y[20]*y[0]) +(k[151]*y[18]*y[7] - k[152]*y[20]*y[17]) +(k[159]*y[19]*y[12] - k[160]*y[20]*y[11]) +(k[161]*y[22]*y[12] - k[162]*y[20]*y[11]) +(k[179]*y[19]*y[7] - k[180]*y[20]*y[8]) +(k[181]*y[22]*y[7] - k[182]*y[20]*y[8]) +(k[189]*y[22]*y[8] - k[190]*y[20]*y[9]) +(k[199]*y[0]*y[22] - k[200]*y[20]*y[3]) -(k[209]*y[4]*y[20] - k[210]*y[21]*y[2]) +(k[211]*y[21]*y[21] - k[212]*y[20]*y[17]) +(k[213]*y[19]*y[22] - k[214]*y[20]*y[23]) +(k[215]*y[22]*y[22] - k[216]*y[20]*y[23]) +(k[389]*y[25]*y[8] - k[390]*y[2]*y[20]) +(k[393]*y[25]*y[13] - k[394]*y[20]*y[21]) +(k[441]*y[5]*y[1] - k[442]*y[20]*y[0]) +(k[455]*y[32]*y[22] - k[456]*y[41]*y[20]) +(k[643]*y[19]*M - k[644]*y[0]*y[20]*M) +(k[649]*y[22]*M - k[650]*y[0]*y[20]*M) +(k[657]*y[21]*y[0]*M - k[658]*y[20]*M) +(k[659]*y[17]*y[3]*M - k[660]*y[20]*M) -(k[769]*y[20] - k[770]*y[3]*y[17]) -(k[771]*y[20] - k[772]*y[0]*y[21]) +(k[775]*y[23] - k[776]*y[20]*y[3]) )
- df_list.append( +(k[123]*y[20]*y[0] - k[124]*y[21]*y[3]) +(k[125]*y[4]*y[14] - k[126]*y[21]*y[8]) +(k[127]*y[20]*y[8] - k[128]*y[9]*y[21]) -(k[131]*y[21]*y[0] - k[132]*y[17]*y[3]) -(k[133]*y[21]*y[2] - k[134]*y[17]*y[1]) +(k[135]*y[18]*y[5] - k[136]*y[21]*y[17]) -(k[157]*y[21]*y[12] - k[158]*y[11]*y[17]) -(k[175]*y[21]*y[7] - k[176]*y[17]*y[8]) -(k[187]*y[21]*y[8] - k[188]*y[17]*y[9]) +(k[193]*y[24]*y[0] - k[194]*y[21]*y[8]) +(k[209]*y[4]*y[20] - k[210]*y[21]*y[2]) -(k[211]*y[21]*y[21] - k[212]*y[20]*y[17]) -(k[211]*y[21]*y[21] - k[212]*y[20]*y[17]) +(k[391]*y[25]*y[12] - k[392]*y[17]*y[21]) +(k[393]*y[25]*y[13] - k[394]*y[20]*y[21]) -(k[457]*y[32]*y[21] - k[458]*y[41]*y[17]) -(k[473]*y[51]*y[21] - k[474]*y[42]*y[17]) -(k[519]*y[21]*y[25] - k[520]*y[17]*y[52]) +(k[557]*y[58]*y[2] - k[558]*y[21]*y[13]) +(k[645]*y[0]*y[17]*M - k[646]*y[21]*M) -(k[657]*y[21]*y[0]*M - k[658]*y[20]*M) -(k[767]*y[21] - k[768]*y[0]*y[17]) +(k[771]*y[20] - k[772]*y[0]*y[21]) +(k[781]*y[49] - k[782]*y[8]*y[21]) )
- df_list.append( -(k[139]*y[22]*y[4] - k[140]*y[20]*y[2]) -(k[141]*y[22]*y[2] - k[142]*y[20]*y[1]) +(k[143]*y[23]*y[0] - k[144]*y[22]*y[3]) -(k[153]*y[22]*y[17] - k[154]*y[8]*y[18]) -(k[161]*y[22]*y[12] - k[162]*y[20]*y[11]) +(k[165]*y[23]*y[12] - k[166]*y[22]*y[11]) -(k[181]*y[22]*y[7] - k[182]*y[20]*y[8]) +(k[183]*y[23]*y[7] - k[184]*y[22]*y[8]) -(k[189]*y[22]*y[8] - k[190]*y[20]*y[9]) +(k[191]*y[23]*y[8] - k[192]*y[22]*y[9]) -(k[199]*y[0]*y[22] - k[200]*y[20]*y[3]) -(k[213]*y[19]*y[22] - k[214]*y[20]*y[23]) -(k[215]*y[22]*y[22] - k[216]*y[20]*y[23]) -(k[215]*y[22]*y[22] - k[216]*y[20]*y[23]) -(k[383]*y[4]*y[22] - k[384]*y[25]*y[8]) +(k[415]*y[43]*y[8] - k[416]*y[32]*y[22]) -(k[455]*y[32]*y[22] - k[456]*y[41]*y[20]) -(k[649]*y[22]*M - k[650]*y[0]*y[20]*M) +(k[777]*y[23] - k[778]*y[22]*y[0]) )
- df_list.append( -(k[143]*y[23]*y[0] - k[144]*y[22]*y[3]) -(k[145]*y[23]*y[0] - k[146]*y[8]*y[1]) -(k[155]*y[23]*y[0] - k[156]*y[19]*y[3]) -(k[163]*y[23]*y[12] - k[164]*y[19]*y[11]) -(k[165]*y[23]*y[12] - k[166]*y[22]*y[11]) -(k[183]*y[23]*y[7] - k[184]*y[22]*y[8]) -(k[185]*y[23]*y[7] - k[186]*y[19]*y[8]) -(k[191]*y[23]*y[8] - k[192]*y[22]*y[9]) +(k[213]*y[19]*y[22] - k[214]*y[20]*y[23]) +(k[215]*y[22]*y[22] - k[216]*y[20]*y[23]) +(k[651]*y[19]*y[0]*M - k[652]*y[23]*M) +(k[719]*y[2]*y[8]*M - k[720]*y[23]*M) -(k[773]*y[23] - k[774]*y[8]*y[2]) -(k[775]*y[23] - k[776]*y[20]*y[3]) -(k[777]*y[23] - k[778]*y[22]*y[0]) )
- df_list.append( -(k[193]*y[24]*y[0] - k[194]*y[21]*y[8]) -(k[195]*y[24]*y[8] - k[196]*y[17]*y[16]) +(k[445]*y[49]*y[0] - k[446]*y[3]*y[24]) +(k[653]*y[2]*y[11]*M - k[654]*y[24]*M) +(k[655]*y[17]*y[8]*M - k[656]*y[24]*M) )
- df_list.append( +(k[197]*y[4]*y[2] - k[198]*y[25]*y[0]) +(k[383]*y[4]*y[22] - k[384]*y[25]*y[8]) -(k[385]*y[25]*y[6] - k[386]*y[4]*y[17]) -(k[387]*y[25]*y[7] - k[388]*y[1]*y[17]) -(k[389]*y[25]*y[8] - k[390]*y[2]*y[20]) -(k[391]*y[25]*y[12] - k[392]*y[17]*y[21]) -(k[393]*y[25]*y[13] - k[394]*y[20]*y[21]) -(k[395]*y[28]*y[25] - k[396]*y[32]*y[4]) -(k[397]*y[29]*y[25] - k[398]*y[32]*y[2]) -(k[399]*y[29]*y[25] - k[400]*y[41]*y[4]) -(k[401]*y[33]*y[25] - k[402]*y[41]*y[2]) +(k[403]*y[43]*y[4] - k[404]*y[32]*y[25]) +(k[405]*y[44]*y[4] - k[406]*y[34]*y[25]) +(k[501]*y[52]*y[0] - k[502]*y[25]*y[3]) +(k[513]*y[4]*y[52] - k[514]*y[2]*y[25]) -(k[515]*y[25]*y[9] - k[516]*y[8]*y[52]) -(k[517]*y[25]*y[16] - k[518]*y[15]*y[52]) -(k[519]*y[21]*y[25] - k[520]*y[17]*y[52]) +(k[521]*y[2]*y[52] - k[522]*y[1]*y[25]) +(k[549]*y[52]*y[33] - k[550]*y[35]*y[25]) +(k[587]*y[60]*y[43] - k[588]*y[25]*y[32]) +(k[691]*y[52]*y[52]*M - k[692]*y[53]*y[25]*M) -(k[695]*y[0]*y[25]*M - k[696]*y[52]*M) +(k[713]*y[4]*y[4]*M - k[714]*y[25]*M) -(k[803]*y[25] - k[804]*y[4]*y[4]) -(k[805]*y[25] - k[806]*y[4]*y[60]) )
- df_list.append( -(k[201]*y[0]*y[26] - k[202]*y[17]*y[8]) +(k[203]*y[4]*y[13] - k[204]*y[26]*y[0]) )
- df_list.append( +(k[205]*y[11]*y[4] - k[206]*y[27]*y[0]) -(k[207]*y[27]*y[0] - k[208]*y[17]*y[7]) )
- df_list.append( -(k[217]*y[28]*y[5] - k[218]*y[29]*y[6]) -(k[219]*y[28]*y[5] - k[220]*y[30]*y[0]) -(k[221]*y[28]*y[7] - k[222]*y[29]*y[5]) -(k[223]*y[28]*y[7] - k[224]*y[31]*y[0]) -(k[225]*y[28]*y[10] - k[226]*y[30]*y[6]) +(k[227]*y[0]*y[32] - k[228]*y[2]*y[28]) +(k[229]*y[0]*y[29] - k[230]*y[3]*y[28]) +(k[237]*y[8]*y[29] - k[238]*y[9]*y[28]) +(k[257]*y[4]*y[29] - k[258]*y[2]*y[28]) +(k[263]*y[2]*y[29] - k[264]*y[1]*y[28]) +(k[275]*y[30]*y[4] - k[276]*y[28]*y[17]) -(k[277]*y[28]*y[18] - k[278]*y[17]*y[32]) -(k[279]*y[28]*y[32] - k[280]*y[34]*y[4]) -(k[281]*y[28]*y[29] - k[282]*y[34]*y[0]) -(k[283]*y[28]*y[30] - k[284]*y[34]*y[6]) -(k[369]*y[8]*y[28] - k[370]*y[36]*y[0]) -(k[371]*y[8]*y[28] - k[372]*y[31]*y[3]) -(k[395]*y[28]*y[25] - k[396]*y[32]*y[4]) +(k[491]*y[29]*y[33] - k[492]*y[35]*y[28]) -(k[545]*y[28]*y[13] - k[546]*y[56]*y[0]) -(k[551]*y[28]*y[35] - k[552]*y[38]*y[3]) -(k[561]*y[28]*y[58] - k[562]*y[54]*y[3]) -(k[563]*y[28]*y[59] - k[564]*y[54]*y[0]) -(k[665]*y[3]*y[28]*M - k[666]*y[33]*M) -(k[667]*y[28]*y[28]*M - k[668]*y[34]*M) -(k[667]*y[28]*y[28]*M - k[668]*y[34]*M) +(k[707]*y[29]*M - k[708]*y[0]*y[28]*M) -(k[709]*y[4]*y[28]*M - k[710]*y[32]*M) +(k[717]*y[62]*M - k[718]*y[28]*M) +(k[783]*y[34] - k[784]*y[28]*y[28]) +(k[783]*y[34] - k[784]*y[28]*y[28]) +(k[791]*y[32] - k[792]*y[28]*y[4]) )
- df_list.append( +(k[217]*y[28]*y[5] - k[218]*y[29]*y[6]) +(k[221]*y[28]*y[7] - k[222]*y[29]*y[5]) -(k[229]*y[0]*y[29] - k[230]*y[3]*y[28]) +(k[231]*y[0]*y[33] - k[232]*y[3]*y[29]) -(k[237]*y[8]*y[29] - k[238]*y[9]*y[28]) +(k[239]*y[8]*y[33] - k[240]*y[9]*y[29]) +(k[247]*y[33]*y[12] - k[248]*y[29]*y[11]) -(k[257]*y[4]*y[29] - k[258]*y[2]*y[28]) -(k[259]*y[4]*y[29] - k[260]*y[32]*y[0]) -(k[263]*y[2]*y[29] - k[264]*y[1]*y[28]) -(k[271]*y[2]*y[29] - k[272]*y[4]*y[33]) +(k[273]*y[33]*y[2] - k[274]*y[1]*y[29]) -(k[281]*y[28]*y[29] - k[282]*y[34]*y[0]) +(k[285]*y[34]*y[7] - k[286]*y[29]*y[31]) +(k[291]*y[32]*y[5] - k[292]*y[17]*y[29]) -(k[295]*y[32]*y[29] - k[296]*y[34]*y[2]) -(k[301]*y[29]*y[6] - k[302]*y[0]*y[30]) -(k[303]*y[29]*y[29] - k[304]*y[34]*y[3]) -(k[303]*y[29]*y[29] - k[304]*y[34]*y[3]) +(k[313]*y[33]*y[33] - k[314]*y[35]*y[29]) -(k[319]*y[29]*y[36] - k[320]*y[31]*y[33]) +(k[323]*y[31]*y[4] - k[324]*y[17]*y[29]) -(k[325]*y[29]*y[33] - k[326]*y[37]*y[0]) -(k[359]*y[29]*y[37] - k[360]*y[33]*y[38]) +(k[375]*y[38]*y[4] - k[376]*y[29]*y[32]) -(k[397]*y[29]*y[25] - k[398]*y[32]*y[2]) -(k[399]*y[29]*y[25] - k[400]*y[41]*y[4]) -(k[409]*y[29]*y[32] - k[410]*y[44]*y[0]) -(k[447]*y[29]*y[2] - k[448]*y[41]*y[0]) +(k[471]*y[51]*y[33] - k[472]*y[42]*y[29]) -(k[487]*y[39]*y[29] - k[488]*y[37]*y[33]) -(k[491]*y[29]*y[33] - k[492]*y[35]*y[28]) +(k[495]*y[3]*y[41] - k[496]*y[29]*y[1]) +(k[599]*y[62]*y[3] - k[600]*y[29]*y[0]) +(k[601]*y[62]*y[1] - k[602]*y[29]*y[2]) +(k[603]*y[62]*y[35] - k[604]*y[29]*y[33]) +(k[673]*y[42]*M - k[674]*y[17]*y[29]*M) -(k[707]*y[29]*M - k[708]*y[0]*y[28]*M) +(k[787]*y[35] - k[788]*y[29]*y[0]*y[0]) +(k[797]*y[42] - k[798]*y[29]*y[17]) )
- df_list.append( +(k[219]*y[28]*y[5] - k[220]*y[30]*y[0]) +(k[225]*y[28]*y[10] - k[226]*y[30]*y[6]) -(k[233]*y[3]*y[30] - k[234]*y[0]*y[31]) -(k[235]*y[7]*y[30] - k[236]*y[5]*y[31]) -(k[241]*y[8]*y[30] - k[242]*y[7]*y[31]) -(k[243]*y[9]*y[30] - k[244]*y[31]*y[8]) +(k[245]*y[10]*y[34] - k[246]*y[30]*y[30]) +(k[245]*y[10]*y[34] - k[246]*y[30]*y[30]) -(k[265]*y[2]*y[30] - k[266]*y[4]*y[31]) +(k[267]*y[2]*y[31] - k[268]*y[1]*y[30]) -(k[275]*y[30]*y[4] - k[276]*y[28]*y[17]) -(k[283]*y[28]*y[30] - k[284]*y[34]*y[6]) +(k[287]*y[32]*y[6] - k[288]*y[4]*y[30]) -(k[299]*y[32]*y[30] - k[300]*y[34]*y[17]) +(k[301]*y[29]*y[6] - k[302]*y[0]*y[30]) -(k[317]*y[35]*y[30] - k[318]*y[31]*y[33]) -(k[321]*y[30]*y[16] - k[322]*y[15]*y[31]) +(k[469]*y[51]*y[31] - k[470]*y[42]*y[30]) -(k[475]*y[30]*y[18] - k[476]*y[17]*y[51]) -(k[479]*y[30]*y[2] - k[480]*y[51]*y[0]) -(k[525]*y[30]*y[11] - k[526]*y[54]*y[0]) -(k[537]*y[30]*y[14] - k[538]*y[57]*y[0]) -(k[663]*y[0]*y[30]*M - k[664]*y[31]*M) +(k[789]*y[31] - k[790]*y[0]*y[30]) )
- df_list.append( +(k[223]*y[28]*y[7] - k[224]*y[31]*y[0]) +(k[233]*y[3]*y[30] - k[234]*y[0]*y[31]) +(k[235]*y[7]*y[30] - k[236]*y[5]*y[31]) +(k[241]*y[8]*y[30] - k[242]*y[7]*y[31]) +(k[243]*y[9]*y[30] - k[244]*y[31]*y[8]) +(k[265]*y[2]*y[30] - k[266]*y[4]*y[31]) -(k[267]*y[2]*y[31] - k[268]*y[1]*y[30]) -(k[269]*y[2]*y[31] - k[270]*y[33]*y[17]) +(k[285]*y[34]*y[7] - k[286]*y[29]*y[31]) +(k[289]*y[32]*y[5] - k[290]*y[4]*y[31]) +(k[293]*y[32]*y[8] - k[294]*y[31]*y[1]) +(k[317]*y[35]*y[30] - k[318]*y[31]*y[33]) +(k[319]*y[29]*y[36] - k[320]*y[31]*y[33]) +(k[321]*y[30]*y[16] - k[322]*y[15]*y[31]) -(k[323]*y[31]*y[4] - k[324]*y[17]*y[29]) +(k[361]*y[36]*y[2] - k[362]*y[31]*y[1]) -(k[367]*y[31]*y[2] - k[368]*y[42]*y[0]) +(k[371]*y[8]*y[28] - k[372]*y[31]*y[3]) -(k[469]*y[51]*y[31] - k[470]*y[42]*y[30]) -(k[477]*y[31]*y[4] - k[478]*y[51]*y[0]) +(k[489]*y[33]*y[36] - k[490]*y[35]*y[31]) +(k[523]*y[36]*y[0] - k[524]*y[31]*y[3]) -(k[527]*y[31]*y[12] - k[528]*y[54]*y[0]) +(k[529]*y[0]*y[55] - k[530]*y[31]*y[8]) -(k[539]*y[31]*y[13] - k[540]*y[57]*y[0]) +(k[541]*y[57]*y[10] - k[542]*y[31]*y[45]) +(k[663]*y[0]*y[30]*M - k[664]*y[31]*M) -(k[671]*y[31]*y[0]*M - k[672]*y[36]*M) -(k[789]*y[31] - k[790]*y[0]*y[30]) )
- df_list.append( -(k[227]*y[0]*y[32] - k[228]*y[2]*y[28]) +(k[259]*y[4]*y[29] - k[260]*y[32]*y[0]) +(k[277]*y[28]*y[18] - k[278]*y[17]*y[32]) -(k[279]*y[28]*y[32] - k[280]*y[34]*y[4]) -(k[287]*y[32]*y[6] - k[288]*y[4]*y[30]) -(k[289]*y[32]*y[5] - k[290]*y[4]*y[31]) -(k[291]*y[32]*y[5] - k[292]*y[17]*y[29]) -(k[293]*y[32]*y[8] - k[294]*y[31]*y[1]) -(k[295]*y[32]*y[29] - k[296]*y[34]*y[2]) -(k[297]*y[32]*y[33] - k[298]*y[34]*y[1]) -(k[299]*y[32]*y[30] - k[300]*y[34]*y[17]) +(k[309]*y[33]*y[4] - k[310]*y[3]*y[32]) -(k[353]*y[33]*y[32] - k[354]*y[38]*y[2]) -(k[355]*y[38]*y[32] - k[356]*y[34]*y[41]) -(k[363]*y[32]*y[7] - k[364]*y[42]*y[0]) +(k[375]*y[38]*y[4] - k[376]*y[29]*y[32]) -(k[379]*y[32]*y[8] - k[380]*y[36]*y[2]) +(k[395]*y[28]*y[25] - k[396]*y[32]*y[4]) +(k[397]*y[29]*y[25] - k[398]*y[32]*y[2]) +(k[403]*y[43]*y[4] - k[404]*y[32]*y[25]) -(k[409]*y[29]*y[32] - k[410]*y[44]*y[0]) +(k[415]*y[43]*y[8] - k[416]*y[32]*y[22]) +(k[449]*y[41]*y[2] - k[450]*y[32]*y[1]) +(k[451]*y[41]*y[4] - k[452]*y[32]*y[2]) +(k[453]*y[41]*y[0] - k[454]*y[32]*y[3]) -(k[455]*y[32]*y[22] - k[456]*y[41]*y[20]) -(k[457]*y[32]*y[21] - k[458]*y[41]*y[17]) +(k[465]*y[50]*y[0] - k[466]*y[32]*y[1]) +(k[467]*y[33]*y[41] - k[468]*y[32]*y[35]) +(k[587]*y[60]*y[43] - k[588]*y[25]*y[32]) -(k[677]*y[32]*y[4]*M - k[678]*y[43]*M) -(k[685]*y[32]*y[0]*M - k[686]*y[41]*M) -(k[687]*y[32]*y[2]*M - k[688]*y[50]*M) +(k[709]*y[4]*y[28]*M - k[710]*y[32]*M) -(k[791]*y[32] - k[792]*y[28]*y[4]) +(k[793]*y[43] - k[794]*y[32]*y[4]) )
- df_list.append( -(k[231]*y[0]*y[33] - k[232]*y[3]*y[29]) -(k[239]*y[8]*y[33] - k[240]*y[9]*y[29]) -(k[247]*y[33]*y[12] - k[248]*y[29]*y[11]) -(k[249]*y[33]*y[13] - k[250]*y[35]*y[11]) -(k[251]*y[33]*y[14] - k[252]*y[35]*y[13]) -(k[253]*y[33]*y[15] - k[254]*y[35]*y[14]) -(k[255]*y[33]*y[16] - k[256]*y[35]*y[15]) +(k[261]*y[4]*y[35] - k[262]*y[2]*y[33]) +(k[269]*y[2]*y[31] - k[270]*y[33]*y[17]) +(k[271]*y[2]*y[29] - k[272]*y[4]*y[33]) -(k[273]*y[33]*y[2] - k[274]*y[1]*y[29]) -(k[297]*y[32]*y[33] - k[298]*y[34]*y[1]) -(k[305]*y[33]*y[3] - k[306]*y[35]*y[0]) -(k[307]*y[33]*y[9] - k[308]*y[8]*y[35]) -(k[309]*y[33]*y[4] - k[310]*y[3]*y[32]) -(k[311]*y[33]*y[1] - k[312]*y[35]*y[2]) -(k[313]*y[33]*y[33] - k[314]*y[35]*y[29]) -(k[313]*y[33]*y[33] - k[314]*y[35]*y[29]) +(k[315]*y[35]*y[5] - k[316]*y[33]*y[7]) +(k[317]*y[35]*y[30] - k[318]*y[31]*y[33]) +(k[319]*y[29]*y[36] - k[320]*y[31]*y[33]) -(k[325]*y[29]*y[33] - k[326]*y[37]*y[0]) -(k[327]*y[33]*y[37] - k[328]*y[35]*y[38]) -(k[329]*y[33]*y[39] - k[330]*y[35]*y[37]) -(k[351]*y[38]*y[33] - k[352]*y[34]*y[35]) -(k[353]*y[33]*y[32] - k[354]*y[38]*y[2]) +(k[359]*y[29]*y[37] - k[360]*y[33]*y[38]) +(k[365]*y[42]*y[0] - k[366]*y[17]*y[33]) -(k[373]*y[8]*y[33] - k[374]*y[35]*y[7]) -(k[377]*y[33]*y[33] - k[378]*y[37]*y[3]) -(k[377]*y[33]*y[33] - k[378]*y[37]*y[3]) -(k[401]*y[33]*y[25] - k[402]*y[41]*y[2]) -(k[411]*y[33]*y[43] - k[412]*y[44]*y[1]) -(k[417]*y[40]*y[33] - k[418]*y[39]*y[35]) -(k[423]*y[48]*y[33] - k[424]*y[46]*y[35]) +(k[425]*y[46]*y[8] - k[426]*y[33]*y[15]) +(k[427]*y[46]*y[2] - k[428]*y[19]*y[33]) -(k[433]*y[8]*y[33] - k[434]*y[47]*y[3]) -(k[435]*y[8]*y[33] - k[436]*y[46]*y[0]) +(k[439]*y[39]*y[0] - k[440]*y[33]*y[33]) +(k[439]*y[39]*y[0] - k[440]*y[33]*y[33]) -(k[467]*y[33]*y[41] - k[468]*y[32]*y[35]) -(k[471]*y[51]*y[33] - k[472]*y[42]*y[29]) +(k[487]*y[39]*y[29] - k[488]*y[37]*y[33]) -(k[489]*y[33]*y[36] - k[490]*y[35]*y[31]) -(k[491]*y[29]*y[33] - k[492]*y[35]*y[28]) -(k[493]*y[33]*y[4] - k[494]*y[41]*y[0]) -(k[549]*y[52]*y[33] - k[550]*y[35]*y[25]) +(k[583]*y[60]*y[35] - k[584]*y[2]*y[33]) +(k[603]*y[62]*y[35] - k[604]*y[29]*y[33]) -(k[661]*y[0]*y[33]*M - k[662]*y[35]*M) +(k[665]*y[3]*y[28]*M - k[666]*y[33]*M) -(k[675]*y[33]*y[33]*M - k[676]*y[40]*M) -(k[675]*y[33]*y[33]*M - k[676]*y[40]*M) -(k[683]*y[33]*y[8]*M - k[684]*y[48]*M) +(k[785]*y[35] - k[786]*y[33]*y[0]) )
- df_list.append( -(k[245]*y[10]*y[34] - k[246]*y[30]*y[30]) +(k[279]*y[28]*y[32] - k[280]*y[34]*y[4]) +(k[281]*y[28]*y[29] - k[282]*y[34]*y[0]) +(k[283]*y[28]*y[30] - k[284]*y[34]*y[6]) -(k[285]*y[34]*y[7] - k[286]*y[29]*y[31]) +(k[295]*y[32]*y[29] - k[296]*y[34]*y[2]) +(k[297]*y[32]*y[33] - k[298]*y[34]*y[1]) +(k[299]*y[32]*y[30] - k[300]*y[34]*y[17]) +(k[303]*y[29]*y[29] - k[304]*y[34]*y[3]) +(k[345]*y[38]*y[0] - k[346]*y[34]*y[3]) +(k[347]*y[38]*y[2] - k[348]*y[34]*y[1]) +(k[349]*y[38]*y[4] - k[350]*y[34]*y[2]) +(k[351]*y[38]*y[33] - k[352]*y[34]*y[35]) +(k[355]*y[38]*y[32] - k[356]*y[34]*y[41]) +(k[405]*y[44]*y[4] - k[406]*y[34]*y[25]) +(k[407]*y[44]*y[0] - k[408]*y[34]*y[2]) +(k[667]*y[28]*y[28]*M - k[668]*y[34]*M) +(k[679]*y[44]*M - k[680]*y[34]*y[4]*M) +(k[681]*y[38]*M - k[682]*y[34]*y[0]*M) -(k[783]*y[34] - k[784]*y[28]*y[28]) )
- df_list.append( +(k[249]*y[33]*y[13] - k[250]*y[35]*y[11]) +(k[251]*y[33]*y[14] - k[252]*y[35]*y[13]) +(k[253]*y[33]*y[15] - k[254]*y[35]*y[14]) +(k[255]*y[33]*y[16] - k[256]*y[35]*y[15]) -(k[261]*y[4]*y[35] - k[262]*y[2]*y[33]) +(k[305]*y[33]*y[3] - k[306]*y[35]*y[0]) +(k[307]*y[33]*y[9] - k[308]*y[8]*y[35]) +(k[311]*y[33]*y[1] - k[312]*y[35]*y[2]) +(k[313]*y[33]*y[33] - k[314]*y[35]*y[29]) -(k[315]*y[35]*y[5] - k[316]*y[33]*y[7]) -(k[317]*y[35]*y[30] - k[318]*y[31]*y[33]) +(k[327]*y[33]*y[37] - k[328]*y[35]*y[38]) +(k[329]*y[33]*y[39] - k[330]*y[35]*y[37]) +(k[351]*y[38]*y[33] - k[352]*y[34]*y[35]) +(k[373]*y[8]*y[33] - k[374]*y[35]*y[7]) +(k[417]*y[40]*y[33] - k[418]*y[39]*y[35]) +(k[423]*y[48]*y[33] - k[424]*y[46]*y[35]) +(k[467]*y[33]*y[41] - k[468]*y[32]*y[35]) +(k[489]*y[33]*y[36] - k[490]*y[35]*y[31]) +(k[491]*y[29]*y[33] - k[492]*y[35]*y[28]) +(k[549]*y[52]*y[33] - k[550]*y[35]*y[25]) -(k[551]*y[28]*y[35] - k[552]*y[38]*y[3]) -(k[583]*y[60]*y[35] - k[584]*y[2]*y[33]) -(k[603]*y[62]*y[35] - k[604]*y[29]*y[33]) +(k[661]*y[0]*y[33]*M - k[662]*y[35]*M) -(k[785]*y[35] - k[786]*y[33]*y[0]) -(k[787]*y[35] - k[788]*y[29]*y[0]*y[0]) )
- df_list.append( -(k[319]*y[29]*y[36] - k[320]*y[31]*y[33]) -(k[361]*y[36]*y[2] - k[362]*y[31]*y[1]) +(k[369]*y[8]*y[28] - k[370]*y[36]*y[0]) +(k[379]*y[32]*y[8] - k[380]*y[36]*y[2]) +(k[431]*y[47]*y[0] - k[432]*y[36]*y[3]) -(k[489]*y[33]*y[36] - k[490]*y[35]*y[31]) -(k[523]*y[36]*y[0] - k[524]*y[31]*y[3]) +(k[671]*y[31]*y[0]*M - k[672]*y[36]*M) )
- df_list.append( +(k[325]*y[29]*y[33] - k[326]*y[37]*y[0]) -(k[327]*y[33]*y[37] - k[328]*y[35]*y[38]) +(k[329]*y[33]*y[39] - k[330]*y[35]*y[37]) -(k[331]*y[37]*y[0] - k[332]*y[38]*y[3]) -(k[333]*y[37]*y[8] - k[334]*y[38]*y[9]) -(k[335]*y[37]*y[2] - k[336]*y[38]*y[1]) +(k[337]*y[39]*y[0] - k[338]*y[37]*y[3]) +(k[339]*y[39]*y[4] - k[340]*y[37]*y[2]) +(k[341]*y[39]*y[2] - k[342]*y[37]*y[1]) +(k[343]*y[39]*y[39] - k[344]*y[40]*y[37]) -(k[357]*y[37]*y[4] - k[358]*y[38]*y[2]) -(k[359]*y[29]*y[37] - k[360]*y[33]*y[38]) +(k[377]*y[33]*y[33] - k[378]*y[37]*y[3]) +(k[487]*y[39]*y[29] - k[488]*y[37]*y[33]) +(k[669]*y[39]*M - k[670]*y[37]*y[0]*M) -(k[711]*y[37]*M - k[712]*y[38]*y[0]*M) )
- df_list.append( +(k[327]*y[33]*y[37] - k[328]*y[35]*y[38]) +(k[331]*y[37]*y[0] - k[332]*y[38]*y[3]) +(k[333]*y[37]*y[8] - k[334]*y[38]*y[9]) +(k[335]*y[37]*y[2] - k[336]*y[38]*y[1]) -(k[345]*y[38]*y[0] - k[346]*y[34]*y[3]) -(k[347]*y[38]*y[2] - k[348]*y[34]*y[1]) -(k[349]*y[38]*y[4] - k[350]*y[34]*y[2]) -(k[351]*y[38]*y[33] - k[352]*y[34]*y[35]) +(k[353]*y[33]*y[32] - k[354]*y[38]*y[2]) -(k[355]*y[38]*y[32] - k[356]*y[34]*y[41]) +(k[357]*y[37]*y[4] - k[358]*y[38]*y[2]) +(k[359]*y[29]*y[37] - k[360]*y[33]*y[38]) -(k[375]*y[38]*y[4] - k[376]*y[29]*y[32]) +(k[551]*y[28]*y[35] - k[552]*y[38]*y[3]) -(k[681]*y[38]*M - k[682]*y[34]*y[0]*M) +(k[711]*y[37]*M - k[712]*y[38]*y[0]*M) )
- df_list.append( -(k[329]*y[33]*y[39] - k[330]*y[35]*y[37]) -(k[337]*y[39]*y[0] - k[338]*y[37]*y[3]) -(k[339]*y[39]*y[4] - k[340]*y[37]*y[2]) -(k[341]*y[39]*y[2] - k[342]*y[37]*y[1]) -(k[343]*y[39]*y[39] - k[344]*y[40]*y[37]) -(k[343]*y[39]*y[39] - k[344]*y[40]*y[37]) +(k[381]*y[40]*y[0] - k[382]*y[39]*y[3]) +(k[417]*y[40]*y[33] - k[418]*y[39]*y[35]) -(k[439]*y[39]*y[0] - k[440]*y[33]*y[33]) -(k[487]*y[39]*y[29] - k[488]*y[37]*y[33]) -(k[669]*y[39]*M - k[670]*y[37]*y[0]*M) +(k[795]*y[40] - k[796]*y[39]*y[0]) )
- df_list.append( +(k[343]*y[39]*y[39] - k[344]*y[40]*y[37]) -(k[381]*y[40]*y[0] - k[382]*y[39]*y[3]) -(k[417]*y[40]*y[33] - k[418]*y[39]*y[35]) +(k[675]*y[33]*y[33]*M - k[676]*y[40]*M) -(k[795]*y[40] - k[796]*y[39]*y[0]) )
- df_list.append( +(k[355]*y[38]*y[32] - k[356]*y[34]*y[41]) +(k[399]*y[29]*y[25] - k[400]*y[41]*y[4]) +(k[401]*y[33]*y[25] - k[402]*y[41]*y[2]) -(k[413]*y[41]*y[41] - k[414]*y[44]*y[1]) -(k[413]*y[41]*y[41] - k[414]*y[44]*y[1]) +(k[447]*y[29]*y[2] - k[448]*y[41]*y[0]) -(k[449]*y[41]*y[2] - k[450]*y[32]*y[1]) -(k[451]*y[41]*y[4] - k[452]*y[32]*y[2]) -(k[453]*y[41]*y[0] - k[454]*y[32]*y[3]) +(k[455]*y[32]*y[22] - k[456]*y[41]*y[20]) +(k[457]*y[32]*y[21] - k[458]*y[41]*y[17]) +(k[461]*y[50]*y[0] - k[462]*y[41]*y[2]) -(k[467]*y[33]*y[41] - k[468]*y[32]*y[35]) +(k[493]*y[33]*y[4] - k[494]*y[41]*y[0]) -(k[495]*y[3]*y[41] - k[496]*y[29]*y[1]) +(k[685]*y[32]*y[0]*M - k[686]*y[41]*M) )
- df_list.append( +(k[363]*y[32]*y[7] - k[364]*y[42]*y[0]) -(k[365]*y[42]*y[0] - k[366]*y[17]*y[33]) +(k[367]*y[31]*y[2] - k[368]*y[42]*y[0]) +(k[469]*y[51]*y[31] - k[470]*y[42]*y[30]) +(k[471]*y[51]*y[33] - k[472]*y[42]*y[29]) +(k[473]*y[51]*y[21] - k[474]*y[42]*y[17]) -(k[481]*y[42]*y[0] - k[482]*y[51]*y[3]) -(k[483]*y[42]*y[4] - k[484]*y[51]*y[2]) -(k[485]*y[42]*y[2] - k[486]*y[51]*y[1]) -(k[673]*y[42]*M - k[674]*y[17]*y[29]*M) -(k[715]*y[42]*M - k[716]*y[0]*y[51]) -(k[797]*y[42] - k[798]*y[29]*y[17]) -(k[799]*y[42] - k[800]*y[0]*y[51]) )
- df_list.append( -(k[403]*y[43]*y[4] - k[404]*y[32]*y[25]) -(k[411]*y[33]*y[43] - k[412]*y[44]*y[1]) -(k[415]*y[43]*y[8] - k[416]*y[32]*y[22]) +(k[459]*y[50]*y[2] - k[460]*y[43]*y[1]) +(k[463]*y[50]*y[0] - k[464]*y[43]*y[3]) -(k[587]*y[60]*y[43] - k[588]*y[25]*y[32]) +(k[677]*y[32]*y[4]*M - k[678]*y[43]*M) -(k[793]*y[43] - k[794]*y[32]*y[4]) )
- df_list.append( -(k[405]*y[44]*y[4] - k[406]*y[34]*y[25]) -(k[407]*y[44]*y[0] - k[408]*y[34]*y[2]) +(k[409]*y[29]*y[32] - k[410]*y[44]*y[0]) +(k[411]*y[33]*y[43] - k[412]*y[44]*y[1]) +(k[413]*y[41]*y[41] - k[414]*y[44]*y[1]) -(k[679]*y[44]*M - k[680]*y[34]*y[4]*M) )
- df_list.append( +(k[419]*y[12]*y[11] - k[420]*y[45]*y[0]) +(k[541]*y[57]*y[10] - k[542]*y[31]*y[45]) -(k[811]*y[45] - k[812]*y[11]*y[10]) )
- df_list.append( -(k[421]*y[46]*y[0] - k[422]*y[47]*y[3]) +(k[423]*y[48]*y[33] - k[424]*y[46]*y[35]) -(k[425]*y[46]*y[8] - k[426]*y[33]*y[15]) -(k[427]*y[46]*y[2] - k[428]*y[19]*y[33]) +(k[429]*y[48]*y[0] - k[430]*y[46]*y[3]) +(k[435]*y[8]*y[33] - k[436]*y[46]*y[0]) +(k[437]*y[48]*y[8] - k[438]*y[46]*y[9]) )
- df_list.append( +(k[421]*y[46]*y[0] - k[422]*y[47]*y[3]) -(k[431]*y[47]*y[0] - k[432]*y[36]*y[3]) +(k[433]*y[8]*y[33] - k[434]*y[47]*y[3]) )
- df_list.append( -(k[423]*y[48]*y[33] - k[424]*y[46]*y[35]) -(k[429]*y[48]*y[0] - k[430]*y[46]*y[3]) -(k[437]*y[48]*y[8] - k[438]*y[46]*y[9]) +(k[683]*y[33]*y[8]*M - k[684]*y[48]*M) )
- df_list.append( +(k[443]*y[4]*y[15] - k[444]*y[49]*y[0]) -(k[445]*y[49]*y[0] - k[446]*y[3]*y[24]) -(k[779]*y[49] - k[780]*y[9]*y[17]) -(k[781]*y[49] - k[782]*y[8]*y[21]) )
- df_list.append( -(k[459]*y[50]*y[2] - k[460]*y[43]*y[1]) -(k[461]*y[50]*y[0] - k[462]*y[41]*y[2]) -(k[463]*y[50]*y[0] - k[464]*y[43]*y[3]) -(k[465]*y[50]*y[0] - k[466]*y[32]*y[1]) +(k[687]*y[32]*y[2]*M - k[688]*y[50]*M) )
- df_list.append( -(k[469]*y[51]*y[31] - k[470]*y[42]*y[30]) -(k[471]*y[51]*y[33] - k[472]*y[42]*y[29]) -(k[473]*y[51]*y[21] - k[474]*y[42]*y[17]) +(k[475]*y[30]*y[18] - k[476]*y[17]*y[51]) +(k[477]*y[31]*y[4] - k[478]*y[51]*y[0]) +(k[479]*y[30]*y[2] - k[480]*y[51]*y[0]) +(k[481]*y[42]*y[0] - k[482]*y[51]*y[3]) +(k[483]*y[42]*y[4] - k[484]*y[51]*y[2]) +(k[485]*y[42]*y[2] - k[486]*y[51]*y[1]) +(k[715]*y[42]*M - k[716]*y[0]*y[51]) +(k[799]*y[42] - k[800]*y[0]*y[51]) )
- df_list.append( -(k[497]*y[52]*y[0] - k[498]*y[2]*y[2]) -(k[499]*y[52]*y[0] - k[500]*y[4]*y[1]) -(k[501]*y[52]*y[0] - k[502]*y[25]*y[3]) -(k[503]*y[17]*y[52] - k[504]*y[18]*y[2]) +(k[505]*y[4]*y[53] - k[506]*y[2]*y[52]) +(k[507]*y[2]*y[53] - k[508]*y[1]*y[52]) +(k[509]*y[53]*y[0] - k[510]*y[3]*y[52]) -(k[513]*y[4]*y[52] - k[514]*y[2]*y[25]) +(k[515]*y[25]*y[9] - k[516]*y[8]*y[52]) +(k[517]*y[25]*y[16] - k[518]*y[15]*y[52]) +(k[519]*y[21]*y[25] - k[520]*y[17]*y[52]) -(k[521]*y[2]*y[52] - k[522]*y[1]*y[25]) -(k[547]*y[52]*y[9] - k[548]*y[8]*y[53]) -(k[549]*y[52]*y[33] - k[550]*y[35]*y[25]) -(k[691]*y[52]*y[52]*M - k[692]*y[53]*y[25]*M) -(k[691]*y[52]*y[52]*M - k[692]*y[53]*y[25]*M) +(k[695]*y[0]*y[25]*M - k[696]*y[52]*M) -(k[801]*y[52] - k[802]*y[4]*y[2]) )
- df_list.append( -(k[505]*y[4]*y[53] - k[506]*y[2]*y[52]) -(k[507]*y[2]*y[53] - k[508]*y[1]*y[52]) -(k[509]*y[53]*y[0] - k[510]*y[3]*y[52]) -(k[511]*y[53]*y[0] - k[512]*y[2]*y[1]) +(k[547]*y[52]*y[9] - k[548]*y[8]*y[53]) +(k[691]*y[52]*y[52]*M - k[692]*y[53]*y[25]*M) +(k[693]*y[2]*y[2]*M - k[694]*y[53]*M) )
- df_list.append( +(k[525]*y[30]*y[11] - k[526]*y[54]*y[0]) +(k[527]*y[31]*y[12] - k[528]*y[54]*y[0]) +(k[543]*y[57]*y[10] - k[544]*y[54]*y[11]) +(k[561]*y[28]*y[58] - k[562]*y[54]*y[3]) +(k[563]*y[28]*y[59] - k[564]*y[54]*y[0]) )
- df_list.append( -(k[529]*y[0]*y[55] - k[530]*y[31]*y[8]) -(k[531]*y[0]*y[55] - k[532]*y[56]*y[3]) -(k[533]*y[55]*y[2] - k[534]*y[56]*y[1]) -(k[535]*y[55]*y[4] - k[536]*y[56]*y[2]) +(k[697]*y[56]*y[0]*M - k[698]*y[55]*M) )
- df_list.append( +(k[531]*y[0]*y[55] - k[532]*y[56]*y[3]) +(k[533]*y[55]*y[2] - k[534]*y[56]*y[1]) +(k[535]*y[55]*y[4] - k[536]*y[56]*y[2]) +(k[545]*y[28]*y[13] - k[546]*y[56]*y[0]) -(k[697]*y[56]*y[0]*M - k[698]*y[55]*M) )
- df_list.append( +(k[537]*y[30]*y[14] - k[538]*y[57]*y[0]) +(k[539]*y[31]*y[13] - k[540]*y[57]*y[0]) -(k[541]*y[57]*y[10] - k[542]*y[31]*y[45]) -(k[543]*y[57]*y[10] - k[544]*y[54]*y[11]) )
- df_list.append( +(k[553]*y[12]*y[15] - k[554]*y[58]*y[8]) +(k[555]*y[13]*y[13] - k[556]*y[8]*y[58]) -(k[557]*y[58]*y[2] - k[558]*y[21]*y[13]) +(k[559]*y[19]*y[12] - k[560]*y[2]*y[58]) -(k[561]*y[28]*y[58] - k[562]*y[54]*y[3]) +(k[567]*y[7]*y[11] - k[568]*y[58]*y[0]) +(k[573]*y[8]*y[12] - k[574]*y[58]*y[0]) +(k[597]*y[61]*y[11] - k[598]*y[58]*y[0]) +(k[699]*y[59]*y[0]*M - k[700]*y[58]*M) -(k[701]*y[58]*y[58]*M - k[702]*y[64]*M) -(k[701]*y[58]*y[58]*M - k[702]*y[64]*M) +(k[807]*y[64] - k[808]*y[58]*y[58]) +(k[807]*y[64] - k[808]*y[58]*y[58]) )
- df_list.append( -(k[563]*y[28]*y[59] - k[564]*y[54]*y[0]) +(k[565]*y[7]*y[11] - k[566]*y[59]*y[3]) +(k[569]*y[7]*y[12] - k[570]*y[59]*y[0]) +(k[571]*y[5]*y[11] - k[572]*y[59]*y[0]) -(k[699]*y[59]*y[0]*M - k[700]*y[58]*M) )
- df_list.append( -(k[575]*y[60]*y[3] - k[576]*y[2]*y[0]) -(k[577]*y[60]*y[9] - k[578]*y[2]*y[8]) -(k[579]*y[60]*y[1] - k[580]*y[2]*y[2]) -(k[581]*y[60]*y[18] - k[582]*y[4]*y[18]) -(k[583]*y[60]*y[35] - k[584]*y[2]*y[33]) -(k[585]*y[60]*y[17] - k[586]*y[18]) -(k[587]*y[60]*y[43] - k[588]*y[25]*y[32]) +(k[723]*y[1] - k[724]*y[3]*y[60]) +(k[747]*y[18] - k[748]*y[17]*y[60]) +(k[805]*y[25] - k[806]*y[4]*y[60]) )
- df_list.append( -(k[589]*y[61]*y[3] - k[590]*y[8]*y[0]) -(k[591]*y[61]*y[3] - k[592]*y[7]*y[3]) -(k[593]*y[61]*y[1] - k[594]*y[7]*y[1]) -(k[595]*y[61]*y[17] - k[596]*y[7]*y[17]) -(k[597]*y[61]*y[11] - k[598]*y[58]*y[0]) +(k[729]*y[9] - k[730]*y[61]*y[3]) +(k[731]*y[9] - k[732]*y[61]*y[0]*y[0]) +(k[737]*y[8] - k[738]*y[61]*y[0]) +(k[761]*y[16] - k[762]*y[9]*y[61]) )
- df_list.append( -(k[599]*y[62]*y[3] - k[600]*y[29]*y[0]) -(k[601]*y[62]*y[1] - k[602]*y[29]*y[2]) -(k[603]*y[62]*y[35] - k[604]*y[29]*y[33]) -(k[717]*y[62]*M - k[718]*y[28]*M) )
- df_list.append( -(k[605]*y[63] - k[606]*y[63]) +(k[605]*y[63] - k[606]*y[63]) )
- df_list.append( +(k[701]*y[58]*y[58]*M - k[702]*y[64]*M) -(k[807]*y[64] - k[808]*y[58]*y[58]) -(k[809]*y[64] - k[810]*y[11]*y[11]*y[11]) )
+ df_list.append( -(k[1]*y[0]*y[1] - k[2]*y[2]*y[3]) +(k[3]*y[4]*y[1] - k[4]*y[0]*y[3]) +(k[5]*y[4]*y[2] - k[6]*y[0]*y[0]) +(k[5]*y[4]*y[2] - k[6]*y[0]*y[0]) -(k[37]*y[0]*y[17] - k[38]*y[3]*y[18]) -(k[53]*y[8]*y[0] - k[54]*y[7]*y[2]) -(k[55]*y[12]*y[0] - k[56]*y[7]*y[17]) -(k[71]*y[11]*y[0] - k[72]*y[8]*y[17]) -(k[83]*y[12]*y[0] - k[84]*y[11]*y[4]) +(k[85]*y[12]*y[2] - k[86]*y[11]*y[0]) -(k[93]*y[14]*y[0] - k[94]*y[13]*y[2]) -(k[99]*y[16]*y[0] - k[100]*y[15]*y[2]) +(k[101]*y[5]*y[4] - k[102]*y[0]*y[6]) +(k[105]*y[4]*y[8] - k[106]*y[7]*y[0]) -(k[107]*y[8]*y[0] - k[108]*y[4]*y[9]) +(k[109]*y[4]*y[16] - k[110]*y[0]*y[15]) -(k[111]*y[0]*y[6] - k[112]*y[17]*y[3]) -(k[113]*y[0]*y[7] - k[114]*y[2]*y[5]) -(k[115]*y[0]*y[9] - k[116]*y[2]*y[8]) -(k[117]*y[0]*y[13] - k[118]*y[2]*y[11]) -(k[119]*y[0]*y[15] - k[120]*y[2]*y[14]) +(k[121]*y[19]*y[3] - k[122]*y[0]*y[8]) -(k[133]*y[21]*y[0] - k[134]*y[17]*y[2]) +(k[139]*y[22]*y[4] - k[140]*y[20]*y[0]) -(k[141]*y[22]*y[0] - k[142]*y[20]*y[2]) -(k[149]*y[7]*y[0] - k[150]*y[20]*y[3]) +(k[167]*y[4]*y[13] - k[168]*y[11]*y[0]) +(k[177]*y[19]*y[7] - k[178]*y[0]*y[14]) -(k[197]*y[4]*y[0] - k[198]*y[25]*y[3]) +(k[209]*y[4]*y[20] - k[210]*y[21]*y[0]) -(k[227]*y[28]*y[0] - k[228]*y[32]*y[3]) +(k[257]*y[4]*y[29] - k[258]*y[0]*y[28]) +(k[261]*y[4]*y[35] - k[262]*y[0]*y[33]) -(k[263]*y[0]*y[29] - k[264]*y[2]*y[28]) -(k[265]*y[0]*y[30] - k[266]*y[4]*y[31]) -(k[267]*y[0]*y[31] - k[268]*y[2]*y[30]) -(k[269]*y[0]*y[31] - k[270]*y[33]*y[17]) -(k[271]*y[0]*y[29] - k[272]*y[4]*y[33]) -(k[273]*y[33]*y[0] - k[274]*y[2]*y[29]) +(k[295]*y[32]*y[29] - k[296]*y[34]*y[0]) -(k[311]*y[35]*y[0] - k[312]*y[33]*y[2]) -(k[333]*y[36]*y[0] - k[334]*y[37]*y[2]) +(k[337]*y[38]*y[4] - k[338]*y[36]*y[0]) -(k[339]*y[38]*y[0] - k[340]*y[36]*y[2]) -(k[345]*y[37]*y[0] - k[346]*y[34]*y[2]) +(k[347]*y[37]*y[4] - k[348]*y[34]*y[0]) +(k[351]*y[33]*y[32] - k[352]*y[37]*y[0]) +(k[355]*y[36]*y[4] - k[356]*y[37]*y[0]) -(k[359]*y[41]*y[0] - k[360]*y[31]*y[2]) -(k[365]*y[31]*y[0] - k[366]*y[42]*y[3]) +(k[377]*y[32]*y[8] - k[378]*y[41]*y[0]) +(k[387]*y[25]*y[8] - k[388]*y[0]*y[20]) +(k[395]*y[29]*y[25] - k[396]*y[32]*y[0]) +(k[399]*y[25]*y[33] - k[400]*y[40]*y[0]) +(k[405]*y[44]*y[3] - k[406]*y[34]*y[0]) -(k[425]*y[46]*y[0] - k[426]*y[19]*y[33]) -(k[445]*y[29]*y[0] - k[446]*y[40]*y[3]) -(k[447]*y[40]*y[0] - k[448]*y[32]*y[2]) +(k[449]*y[40]*y[4] - k[450]*y[32]*y[0]) -(k[457]*y[50]*y[0] - k[458]*y[43]*y[2]) +(k[459]*y[50]*y[3] - k[460]*y[40]*y[0]) -(k[477]*y[30]*y[0] - k[478]*y[51]*y[3]) +(k[481]*y[42]*y[4] - k[482]*y[51]*y[0]) -(k[483]*y[42]*y[0] - k[484]*y[51]*y[2]) +(k[495]*y[52]*y[3] - k[496]*y[0]*y[0]) +(k[495]*y[52]*y[3] - k[496]*y[0]*y[0]) +(k[501]*y[17]*y[52] - k[502]*y[18]*y[0]) +(k[503]*y[4]*y[53] - k[504]*y[0]*y[52]) -(k[505]*y[0]*y[53] - k[506]*y[2]*y[52]) +(k[509]*y[53]*y[3] - k[510]*y[0]*y[2]) +(k[511]*y[4]*y[52] - k[512]*y[0]*y[25]) -(k[519]*y[0]*y[52] - k[520]*y[2]*y[25]) -(k[531]*y[55]*y[0] - k[532]*y[56]*y[2]) +(k[533]*y[55]*y[4] - k[534]*y[56]*y[0]) -(k[557]*y[58]*y[0] - k[558]*y[21]*y[13]) +(k[559]*y[19]*y[12] - k[560]*y[0]*y[58]) -(k[599]*y[23]*y[0] - k[600]*y[22]*y[2]) -(k[601]*y[23]*y[0] - k[602]*y[19]*y[2]) +(k[603]*y[52]*y[32] - k[604]*y[0]*y[43]) +(k[615]*y[65]*y[16] - k[616]*y[15]*y[0]) +(k[617]*y[65]*y[1] - k[618]*y[0]*y[3]) +(k[619]*y[65]*y[9] - k[620]*y[0]*y[8]) +(k[621]*y[65]*y[2] - k[622]*y[0]*y[0]) +(k[621]*y[65]*y[2] - k[622]*y[0]*y[0]) +(k[625]*y[65]*y[35] - k[626]*y[0]*y[33]) +(k[645]*y[67]*y[2] - k[646]*y[29]*y[0]) -(k[653]*y[0]*y[8] - k[654]*y[66]*y[2]) +(k[659]*y[3]*y[4]*M - k[660]*y[0]*M) -(k[661]*y[0]*y[3]*M - k[662]*y[2]*M) -(k[703]*y[0]*y[11]*M - k[704]*y[24]*M) -(k[737]*y[32]*y[0]*M - k[738]*y[50]*M) -(k[743]*y[0]*y[0]*M - k[744]*y[53]*M) -(k[743]*y[0]*y[0]*M - k[744]*y[53]*M) -(k[781]*y[0]*y[8]*M - k[782]*y[23]*M) +(k[783]*y[2] - k[784]*y[3]*y[0]) -(k[827]*y[0] - k[828]*y[3]*y[4]) +(k[835]*y[23] - k[836]*y[8]*y[0]) +(k[863]*y[52] - k[864]*y[4]*y[0]) +(k[877]*y[50] - k[878]*y[32]*y[0]) )
+ df_list.append( -(k[1]*y[0]*y[1] - k[2]*y[2]*y[3]) -(k[3]*y[4]*y[1] - k[4]*y[0]*y[3]) +(k[7]*y[3]*y[5] - k[8]*y[1]*y[6]) +(k[9]*y[3]*y[7] - k[10]*y[5]*y[1]) -(k[11]*y[7]*y[1] - k[12]*y[3]*y[8]) +(k[13]*y[3]*y[9] - k[14]*y[8]*y[1]) -(k[19]*y[1]*y[12] - k[20]*y[3]*y[11]) +(k[23]*y[3]*y[13] - k[24]*y[11]*y[1]) -(k[25]*y[1]*y[13] - k[26]*y[3]*y[14]) +(k[33]*y[3]*y[15] - k[34]*y[14]*y[1]) +(k[35]*y[3]*y[16] - k[36]*y[15]*y[1]) +(k[39]*y[5]*y[8] - k[40]*y[1]*y[11]) -(k[73]*y[10]*y[1] - k[74]*y[3]*y[12]) +(k[123]*y[20]*y[3] - k[124]*y[21]*y[1]) +(k[131]*y[21]*y[3] - k[132]*y[17]*y[1]) +(k[143]*y[23]*y[3] - k[144]*y[22]*y[1]) +(k[155]*y[23]*y[3] - k[156]*y[19]*y[1]) +(k[173]*y[4]*y[7] - k[174]*y[17]*y[1]) +(k[199]*y[3]*y[22] - k[200]*y[20]*y[1]) +(k[229]*y[3]*y[29] - k[230]*y[1]*y[28]) +(k[231]*y[3]*y[33] - k[232]*y[1]*y[29]) -(k[233]*y[1]*y[30] - k[234]*y[3]*y[31]) +(k[303]*y[29]*y[29] - k[304]*y[34]*y[1]) -(k[305]*y[33]*y[1] - k[306]*y[35]*y[3]) +(k[309]*y[33]*y[4] - k[310]*y[1]*y[32]) +(k[329]*y[36]*y[3] - k[330]*y[37]*y[1]) +(k[335]*y[38]*y[3] - k[336]*y[36]*y[1]) +(k[343]*y[37]*y[3] - k[344]*y[34]*y[1]) +(k[369]*y[8]*y[28] - k[370]*y[31]*y[1]) +(k[375]*y[33]*y[33] - k[376]*y[36]*y[1]) +(k[379]*y[39]*y[3] - k[380]*y[38]*y[1]) +(k[419]*y[46]*y[3] - k[420]*y[47]*y[1]) +(k[427]*y[48]*y[3] - k[428]*y[46]*y[1]) +(k[429]*y[47]*y[3] - k[430]*y[41]*y[1]) +(k[431]*y[8]*y[33] - k[432]*y[47]*y[1]) +(k[443]*y[49]*y[3] - k[444]*y[1]*y[24]) +(k[451]*y[40]*y[3] - k[452]*y[32]*y[1]) +(k[461]*y[50]*y[3] - k[462]*y[43]*y[1]) +(k[479]*y[42]*y[3] - k[480]*y[51]*y[1]) -(k[493]*y[1]*y[40] - k[494]*y[29]*y[2]) +(k[499]*y[52]*y[3] - k[500]*y[25]*y[1]) +(k[507]*y[53]*y[3] - k[508]*y[1]*y[52]) +(k[521]*y[41]*y[3] - k[522]*y[31]*y[1]) +(k[529]*y[3]*y[55] - k[530]*y[56]*y[1]) +(k[551]*y[28]*y[35] - k[552]*y[37]*y[1]) +(k[561]*y[28]*y[58] - k[562]*y[54]*y[1]) +(k[565]*y[7]*y[11] - k[566]*y[59]*y[1]) +(k[575]*y[35]*y[33] - k[576]*y[38]*y[1]) -(k[589]*y[64]*y[1] - k[590]*y[63]*y[3]) -(k[617]*y[65]*y[1] - k[618]*y[0]*y[3]) -(k[633]*y[66]*y[1] - k[634]*y[8]*y[3]) -(k[635]*y[66]*y[1] - k[636]*y[7]*y[1]) +(k[635]*y[66]*y[1] - k[636]*y[7]*y[1]) -(k[643]*y[67]*y[1] - k[644]*y[29]*y[3]) +(k[657]*y[3]*y[3]*M - k[658]*y[1]*M) -(k[675]*y[1]*y[6]*M - k[676]*y[7]*M) -(k[681]*y[5]*y[1]*M - k[682]*y[8]*M) +(k[687]*y[14]*M - k[688]*y[11]*y[1]*M) +(k[689]*y[16]*M - k[690]*y[14]*y[1]*M) -(k[709]*y[17]*y[1]*M - k[710]*y[20]*M) -(k[715]*y[1]*y[28]*M - k[716]*y[33]*M) +(k[785]*y[2] - k[786]*y[1]*y[65]) +(k[791]*y[9] - k[792]*y[66]*y[1]) +(k[795]*y[9] - k[796]*y[5]*y[1]*y[3]) +(k[797]*y[8] - k[798]*y[5]*y[1]) -(k[803]*y[1] - k[804]*y[3]*y[3]) +(k[811]*y[14] - k[812]*y[11]*y[1]) +(k[817]*y[16] - k[818]*y[14]*y[1]) +(k[821]*y[16] - k[822]*y[11]*y[1]*y[1]) +(k[821]*y[16] - k[822]*y[11]*y[1]*y[1]) +(k[831]*y[20] - k[832]*y[1]*y[17]) +(k[837]*y[23] - k[838]*y[20]*y[1]) )
+ df_list.append( +(k[1]*y[0]*y[1] - k[2]*y[2]*y[3]) -(k[5]*y[4]*y[2] - k[6]*y[0]*y[0]) +(k[53]*y[8]*y[0] - k[54]*y[7]*y[2]) -(k[85]*y[12]*y[2] - k[86]*y[11]*y[0]) +(k[93]*y[14]*y[0] - k[94]*y[13]*y[2]) +(k[99]*y[16]*y[0] - k[100]*y[15]*y[2]) +(k[113]*y[0]*y[7] - k[114]*y[2]*y[5]) +(k[115]*y[0]*y[9] - k[116]*y[2]*y[8]) +(k[117]*y[0]*y[13] - k[118]*y[2]*y[11]) +(k[119]*y[0]*y[15] - k[120]*y[2]*y[14]) +(k[133]*y[21]*y[0] - k[134]*y[17]*y[2]) +(k[141]*y[22]*y[0] - k[142]*y[20]*y[2]) +(k[145]*y[23]*y[3] - k[146]*y[8]*y[2]) +(k[263]*y[0]*y[29] - k[264]*y[2]*y[28]) +(k[267]*y[0]*y[31] - k[268]*y[2]*y[30]) +(k[273]*y[33]*y[0] - k[274]*y[2]*y[29]) +(k[293]*y[32]*y[8] - k[294]*y[31]*y[2]) +(k[297]*y[32]*y[33] - k[298]*y[34]*y[2]) +(k[311]*y[35]*y[0] - k[312]*y[33]*y[2]) +(k[333]*y[36]*y[0] - k[334]*y[37]*y[2]) +(k[339]*y[38]*y[0] - k[340]*y[36]*y[2]) +(k[345]*y[37]*y[0] - k[346]*y[34]*y[2]) +(k[359]*y[41]*y[0] - k[360]*y[31]*y[2]) +(k[385]*y[25]*y[7] - k[386]*y[2]*y[17]) +(k[409]*y[33]*y[43] - k[410]*y[44]*y[2]) +(k[411]*y[40]*y[40] - k[412]*y[44]*y[2]) -(k[439]*y[5]*y[2] - k[440]*y[20]*y[3]) +(k[447]*y[40]*y[0] - k[448]*y[32]*y[2]) +(k[457]*y[50]*y[0] - k[458]*y[43]*y[2]) +(k[463]*y[50]*y[3] - k[464]*y[32]*y[2]) +(k[483]*y[42]*y[0] - k[484]*y[51]*y[2]) +(k[493]*y[1]*y[40] - k[494]*y[29]*y[2]) +(k[497]*y[52]*y[3] - k[498]*y[4]*y[2]) +(k[505]*y[0]*y[53] - k[506]*y[2]*y[52]) +(k[509]*y[53]*y[3] - k[510]*y[0]*y[2]) +(k[519]*y[0]*y[52] - k[520]*y[2]*y[25]) +(k[531]*y[55]*y[0] - k[532]*y[56]*y[2]) +(k[599]*y[23]*y[0] - k[600]*y[22]*y[2]) +(k[601]*y[23]*y[0] - k[602]*y[19]*y[2]) -(k[621]*y[65]*y[2] - k[622]*y[0]*y[0]) -(k[637]*y[66]*y[2] - k[638]*y[7]*y[2]) +(k[637]*y[66]*y[2] - k[638]*y[7]*y[2]) -(k[645]*y[67]*y[2] - k[646]*y[29]*y[0]) +(k[653]*y[0]*y[8] - k[654]*y[66]*y[2]) +(k[661]*y[0]*y[3]*M - k[662]*y[2]*M) -(k[697]*y[2]*y[5]*M - k[698]*y[19]*M) -(k[783]*y[2] - k[784]*y[3]*y[0]) -(k[785]*y[2] - k[786]*y[1]*y[65]) -(k[787]*y[2] - k[788]*y[3]*y[3]*y[4]) )
+ df_list.append( +(k[1]*y[0]*y[1] - k[2]*y[2]*y[3]) +(k[3]*y[4]*y[1] - k[4]*y[0]*y[3]) -(k[7]*y[3]*y[5] - k[8]*y[1]*y[6]) -(k[9]*y[3]*y[7] - k[10]*y[5]*y[1]) +(k[11]*y[7]*y[1] - k[12]*y[3]*y[8]) -(k[13]*y[3]*y[9] - k[14]*y[8]*y[1]) +(k[15]*y[6]*y[5] - k[16]*y[10]*y[3]) +(k[17]*y[8]*y[6] - k[18]*y[3]*y[11]) +(k[19]*y[1]*y[12] - k[20]*y[3]*y[11]) +(k[21]*y[5]*y[7] - k[22]*y[3]*y[11]) -(k[23]*y[3]*y[13] - k[24]*y[11]*y[1]) +(k[25]*y[1]*y[13] - k[26]*y[3]*y[14]) +(k[27]*y[5]*y[9] - k[28]*y[3]*y[14]) +(k[29]*y[7]*y[8] - k[30]*y[3]*y[14]) -(k[31]*y[3]*y[15] - k[32]*y[8]*y[8]) -(k[33]*y[3]*y[15] - k[34]*y[14]*y[1]) -(k[35]*y[3]*y[16] - k[36]*y[15]*y[1]) +(k[37]*y[0]*y[17] - k[38]*y[3]*y[18]) +(k[43]*y[7]*y[7] - k[44]*y[11]*y[3]*y[3]) +(k[43]*y[7]*y[7] - k[44]*y[11]*y[3]*y[3]) +(k[47]*y[7]*y[7] - k[48]*y[3]*y[13]) +(k[73]*y[10]*y[1] - k[74]*y[3]*y[12]) +(k[103]*y[4]*y[5] - k[104]*y[3]*y[17]) +(k[111]*y[0]*y[6] - k[112]*y[17]*y[3]) -(k[121]*y[19]*y[3] - k[122]*y[0]*y[8]) -(k[123]*y[20]*y[3] - k[124]*y[21]*y[1]) -(k[131]*y[21]*y[3] - k[132]*y[17]*y[1]) +(k[137]*y[8]*y[4] - k[138]*y[20]*y[3]) -(k[143]*y[23]*y[3] - k[144]*y[22]*y[1]) -(k[145]*y[23]*y[3] - k[146]*y[8]*y[2]) +(k[147]*y[7]*y[4] - k[148]*y[17]*y[3]*y[3]) +(k[147]*y[7]*y[4] - k[148]*y[17]*y[3]*y[3]) +(k[149]*y[7]*y[0] - k[150]*y[20]*y[3]) -(k[155]*y[23]*y[3] - k[156]*y[19]*y[1]) -(k[193]*y[24]*y[3] - k[194]*y[21]*y[8]) +(k[197]*y[4]*y[0] - k[198]*y[25]*y[3]) -(k[199]*y[3]*y[22] - k[200]*y[20]*y[1]) -(k[201]*y[3]*y[26] - k[202]*y[17]*y[8]) +(k[203]*y[4]*y[13] - k[204]*y[26]*y[3]) +(k[205]*y[11]*y[4] - k[206]*y[27]*y[3]) -(k[207]*y[27]*y[3] - k[208]*y[17]*y[7]) +(k[219]*y[28]*y[5] - k[220]*y[30]*y[3]) +(k[223]*y[28]*y[7] - k[224]*y[31]*y[3]) +(k[227]*y[28]*y[0] - k[228]*y[32]*y[3]) -(k[229]*y[3]*y[29] - k[230]*y[1]*y[28]) -(k[231]*y[3]*y[33] - k[232]*y[1]*y[29]) +(k[233]*y[1]*y[30] - k[234]*y[3]*y[31]) +(k[259]*y[4]*y[29] - k[260]*y[32]*y[3]) +(k[281]*y[28]*y[29] - k[282]*y[34]*y[3]) +(k[301]*y[29]*y[6] - k[302]*y[3]*y[30]) +(k[305]*y[33]*y[1] - k[306]*y[35]*y[3]) +(k[323]*y[29]*y[33] - k[324]*y[36]*y[3]) -(k[329]*y[36]*y[3] - k[330]*y[37]*y[1]) -(k[335]*y[38]*y[3] - k[336]*y[36]*y[1]) -(k[343]*y[37]*y[3] - k[344]*y[34]*y[1]) +(k[361]*y[32]*y[7] - k[362]*y[42]*y[3]) -(k[363]*y[42]*y[3] - k[364]*y[17]*y[33]) +(k[365]*y[31]*y[0] - k[366]*y[42]*y[3]) +(k[367]*y[8]*y[28] - k[368]*y[41]*y[3]) -(k[379]*y[39]*y[3] - k[380]*y[38]*y[1]) -(k[405]*y[44]*y[3] - k[406]*y[34]*y[0]) +(k[407]*y[29]*y[32] - k[408]*y[44]*y[3]) +(k[417]*y[12]*y[11] - k[418]*y[45]*y[3]) -(k[419]*y[46]*y[3] - k[420]*y[47]*y[1]) -(k[427]*y[48]*y[3] - k[428]*y[46]*y[1]) -(k[429]*y[47]*y[3] - k[430]*y[41]*y[1]) +(k[433]*y[8]*y[33] - k[434]*y[46]*y[3]) -(k[437]*y[38]*y[3] - k[438]*y[33]*y[33]) +(k[439]*y[5]*y[2] - k[440]*y[20]*y[3]) +(k[441]*y[4]*y[15] - k[442]*y[49]*y[3]) -(k[443]*y[49]*y[3] - k[444]*y[1]*y[24]) +(k[445]*y[29]*y[0] - k[446]*y[40]*y[3]) -(k[451]*y[40]*y[3] - k[452]*y[32]*y[1]) -(k[459]*y[50]*y[3] - k[460]*y[40]*y[0]) -(k[461]*y[50]*y[3] - k[462]*y[43]*y[1]) -(k[463]*y[50]*y[3] - k[464]*y[32]*y[2]) +(k[475]*y[31]*y[4] - k[476]*y[51]*y[3]) +(k[477]*y[30]*y[0] - k[478]*y[51]*y[3]) -(k[479]*y[42]*y[3] - k[480]*y[51]*y[1]) +(k[491]*y[33]*y[4] - k[492]*y[40]*y[3]) -(k[495]*y[52]*y[3] - k[496]*y[0]*y[0]) -(k[497]*y[52]*y[3] - k[498]*y[4]*y[2]) -(k[499]*y[52]*y[3] - k[500]*y[25]*y[1]) -(k[507]*y[53]*y[3] - k[508]*y[1]*y[52]) -(k[509]*y[53]*y[3] - k[510]*y[0]*y[2]) -(k[521]*y[41]*y[3] - k[522]*y[31]*y[1]) +(k[523]*y[30]*y[11] - k[524]*y[54]*y[3]) +(k[525]*y[31]*y[12] - k[526]*y[54]*y[3]) -(k[527]*y[3]*y[55] - k[528]*y[31]*y[8]) -(k[529]*y[3]*y[55] - k[530]*y[56]*y[1]) +(k[535]*y[30]*y[14] - k[536]*y[57]*y[3]) +(k[537]*y[31]*y[13] - k[538]*y[57]*y[3]) +(k[543]*y[28]*y[13] - k[544]*y[56]*y[3]) +(k[563]*y[28]*y[59] - k[564]*y[54]*y[3]) +(k[567]*y[7]*y[11] - k[568]*y[58]*y[3]) +(k[569]*y[7]*y[12] - k[570]*y[59]*y[3]) +(k[571]*y[5]*y[11] - k[572]*y[59]*y[3]) +(k[573]*y[8]*y[12] - k[574]*y[58]*y[3]) +(k[581]*y[8]*y[11] - k[582]*y[60]*y[3]) +(k[583]*y[5]*y[58] - k[584]*y[61]*y[3]) +(k[585]*y[12]*y[15] - k[586]*y[62]*y[3]) +(k[587]*y[11]*y[62] - k[588]*y[63]*y[3]) +(k[589]*y[64]*y[1] - k[590]*y[63]*y[3]) +(k[611]*y[8]*y[30] - k[612]*y[56]*y[3]) +(k[617]*y[65]*y[1] - k[618]*y[0]*y[3]) +(k[633]*y[66]*y[1] - k[634]*y[8]*y[3]) +(k[641]*y[66]*y[11] - k[642]*y[58]*y[3]) +(k[643]*y[67]*y[1] - k[644]*y[29]*y[3]) -(k[657]*y[3]*y[3]*M - k[658]*y[1]*M) -(k[657]*y[3]*y[3]*M - k[658]*y[1]*M) -(k[659]*y[3]*y[4]*M - k[660]*y[0]*M) -(k[661]*y[0]*y[3]*M - k[662]*y[2]*M) -(k[663]*y[3]*y[5]*M - k[664]*y[7]*M) -(k[665]*y[3]*y[8]*M - k[666]*y[9]*M) -(k[667]*y[3]*y[11]*M - k[668]*y[13]*M) -(k[669]*y[3]*y[13]*M - k[670]*y[14]*M) -(k[671]*y[3]*y[14]*M - k[672]*y[15]*M) -(k[673]*y[3]*y[15]*M - k[674]*y[16]*M) +(k[677]*y[5]*M - k[678]*y[6]*y[3]*M) -(k[679]*y[7]*y[3]*M - k[680]*y[8]*M) -(k[685]*y[12]*y[3]*M - k[686]*y[11]*M) +(k[693]*y[19]*M - k[694]*y[3]*y[20]*M) -(k[695]*y[3]*y[17]*M - k[696]*y[21]*M) +(k[699]*y[22]*M - k[700]*y[3]*y[20]*M) -(k[701]*y[19]*y[3]*M - k[702]*y[23]*M) -(k[707]*y[21]*y[3]*M - k[708]*y[20]*M) -(k[711]*y[3]*y[33]*M - k[712]*y[35]*M) -(k[713]*y[3]*y[30]*M - k[714]*y[31]*M) +(k[719]*y[38]*M - k[720]*y[36]*y[3]*M) -(k[721]*y[31]*y[3]*M - k[722]*y[41]*M) +(k[731]*y[37]*M - k[732]*y[34]*y[3]*M) -(k[735]*y[3]*y[32]*M - k[736]*y[40]*M) -(k[745]*y[3]*y[25]*M - k[746]*y[52]*M) -(k[747]*y[56]*y[3]*M - k[748]*y[55]*M) -(k[749]*y[59]*y[3]*M - k[750]*y[58]*M) +(k[753]*y[36]*M - k[754]*y[37]*y[3]*M) -(k[755]*y[58]*y[3]*M - k[756]*y[60]*M) -(k[759]*y[64]*y[3]*M - k[760]*y[63]*M) -(k[761]*y[45]*y[3]*M - k[762]*y[61]*M) +(k[767]*y[12]*M - k[768]*y[10]*y[3]*M) +(k[771]*y[29]*M - k[772]*y[3]*y[28]*M) +(k[777]*y[42]*M - k[778]*y[3]*y[51]) +(k[783]*y[2] - k[784]*y[3]*y[0]) +(k[787]*y[2] - k[788]*y[3]*y[3]*y[4]) +(k[787]*y[2] - k[788]*y[3]*y[3]*y[4]) +(k[789]*y[9] - k[790]*y[8]*y[3]) +(k[793]*y[9] - k[794]*y[66]*y[3]*y[3]) +(k[793]*y[9] - k[794]*y[66]*y[3]*y[3]) +(k[795]*y[9] - k[796]*y[5]*y[1]*y[3]) +(k[799]*y[8] - k[800]*y[66]*y[3]) +(k[803]*y[1] - k[804]*y[3]*y[3]) +(k[803]*y[1] - k[804]*y[3]*y[3]) +(k[805]*y[11] - k[806]*y[12]*y[3]) +(k[813]*y[14] - k[814]*y[11]*y[3]*y[3]) +(k[813]*y[14] - k[814]*y[11]*y[3]*y[3]) +(k[815]*y[14] - k[816]*y[13]*y[3]) +(k[819]*y[16] - k[820]*y[14]*y[3]*y[3]) +(k[819]*y[16] - k[820]*y[14]*y[3]*y[3]) +(k[827]*y[0] - k[828]*y[3]*y[4]) +(k[829]*y[21] - k[830]*y[3]*y[17]) +(k[833]*y[20] - k[834]*y[3]*y[21]) +(k[839]*y[23] - k[840]*y[22]*y[3]) +(k[847]*y[35] - k[848]*y[33]*y[3]) +(k[849]*y[35] - k[850]*y[29]*y[3]*y[3]) +(k[849]*y[35] - k[850]*y[29]*y[3]*y[3]) +(k[851]*y[31] - k[852]*y[3]*y[30]) +(k[857]*y[39] - k[858]*y[38]*y[3]) +(k[861]*y[42] - k[862]*y[3]*y[51]) +(k[871]*y[7] - k[872]*y[5]*y[3]) +(k[873]*y[63] - k[874]*y[64]*y[3]) )
+ df_list.append( -(k[3]*y[4]*y[1] - k[4]*y[0]*y[3]) -(k[5]*y[4]*y[2] - k[6]*y[0]*y[0]) -(k[41]*y[10]*y[4] - k[42]*y[6]*y[17]) -(k[57]*y[11]*y[4] - k[58]*y[7]*y[17]) -(k[81]*y[12]*y[4] - k[82]*y[5]*y[17]) +(k[83]*y[12]*y[0] - k[84]*y[11]*y[4]) -(k[101]*y[5]*y[4] - k[102]*y[0]*y[6]) -(k[103]*y[4]*y[5] - k[104]*y[3]*y[17]) -(k[105]*y[4]*y[8] - k[106]*y[7]*y[0]) +(k[107]*y[8]*y[0] - k[108]*y[4]*y[9]) -(k[109]*y[4]*y[16] - k[110]*y[0]*y[15]) -(k[125]*y[4]*y[14] - k[126]*y[21]*y[8]) -(k[137]*y[8]*y[4] - k[138]*y[20]*y[3]) -(k[139]*y[22]*y[4] - k[140]*y[20]*y[0]) -(k[147]*y[7]*y[4] - k[148]*y[17]*y[3]*y[3]) -(k[167]*y[4]*y[13] - k[168]*y[11]*y[0]) -(k[173]*y[4]*y[7] - k[174]*y[17]*y[1]) -(k[197]*y[4]*y[0] - k[198]*y[25]*y[3]) -(k[203]*y[4]*y[13] - k[204]*y[26]*y[3]) -(k[205]*y[11]*y[4] - k[206]*y[27]*y[3]) -(k[209]*y[4]*y[20] - k[210]*y[21]*y[0]) -(k[257]*y[4]*y[29] - k[258]*y[0]*y[28]) -(k[259]*y[4]*y[29] - k[260]*y[32]*y[3]) -(k[261]*y[4]*y[35] - k[262]*y[0]*y[33]) +(k[265]*y[0]*y[30] - k[266]*y[4]*y[31]) +(k[271]*y[0]*y[29] - k[272]*y[4]*y[33]) -(k[275]*y[30]*y[4] - k[276]*y[28]*y[17]) +(k[279]*y[28]*y[32] - k[280]*y[34]*y[4]) +(k[287]*y[32]*y[6] - k[288]*y[4]*y[30]) +(k[289]*y[32]*y[5] - k[290]*y[4]*y[31]) -(k[309]*y[33]*y[4] - k[310]*y[1]*y[32]) -(k[321]*y[31]*y[4] - k[322]*y[17]*y[29]) -(k[337]*y[38]*y[4] - k[338]*y[36]*y[0]) -(k[347]*y[37]*y[4] - k[348]*y[34]*y[0]) -(k[355]*y[36]*y[4] - k[356]*y[37]*y[0]) -(k[373]*y[37]*y[4] - k[374]*y[29]*y[32]) -(k[381]*y[4]*y[22] - k[382]*y[25]*y[8]) +(k[383]*y[25]*y[6] - k[384]*y[4]*y[17]) +(k[393]*y[28]*y[25] - k[394]*y[32]*y[4]) +(k[397]*y[29]*y[25] - k[398]*y[40]*y[4]) -(k[401]*y[43]*y[4] - k[402]*y[32]*y[25]) -(k[403]*y[44]*y[4] - k[404]*y[34]*y[25]) -(k[441]*y[4]*y[15] - k[442]*y[49]*y[3]) -(k[449]*y[40]*y[4] - k[450]*y[32]*y[0]) -(k[475]*y[31]*y[4] - k[476]*y[51]*y[3]) -(k[481]*y[42]*y[4] - k[482]*y[51]*y[0]) -(k[491]*y[33]*y[4] - k[492]*y[40]*y[3]) +(k[497]*y[52]*y[3] - k[498]*y[4]*y[2]) -(k[503]*y[4]*y[53] - k[504]*y[0]*y[52]) -(k[511]*y[4]*y[52] - k[512]*y[0]*y[25]) -(k[533]*y[55]*y[4] - k[534]*y[56]*y[0]) -(k[545]*y[56]*y[4] - k[546]*y[31]*y[21]) -(k[595]*y[4]*y[14] - k[596]*y[20]*y[7]) -(k[597]*y[4]*y[13] - k[598]*y[21]*y[7]) +(k[607]*y[28]*y[43] - k[608]*y[44]*y[4]) +(k[623]*y[65]*y[18] - k[624]*y[4]*y[18]) +(k[631]*y[65]*y[34] - k[632]*y[4]*y[34]) +(k[649]*y[67]*y[25] - k[650]*y[32]*y[4]) -(k[659]*y[3]*y[4]*M - k[660]*y[0]*M) -(k[691]*y[17]*y[4]*M - k[692]*y[18]*M) -(k[727]*y[32]*y[4]*M - k[728]*y[43]*M) +(k[729]*y[44]*M - k[730]*y[34]*y[4]*M) -(k[769]*y[4]*y[6]*M - k[770]*y[17]*M) -(k[773]*y[4]*y[28]*M - k[774]*y[32]*M) -(k[775]*y[4]*y[4]*M - k[776]*y[25]*M) -(k[775]*y[4]*y[4]*M - k[776]*y[25]*M) +(k[787]*y[2] - k[788]*y[3]*y[3]*y[4]) +(k[801]*y[17] - k[802]*y[6]*y[4]) +(k[807]*y[18] - k[808]*y[17]*y[4]) +(k[827]*y[0] - k[828]*y[3]*y[4]) +(k[853]*y[32] - k[854]*y[28]*y[4]) +(k[855]*y[43] - k[856]*y[32]*y[4]) +(k[863]*y[52] - k[864]*y[4]*y[0]) +(k[865]*y[25] - k[866]*y[4]*y[4]) +(k[865]*y[25] - k[866]*y[4]*y[4]) +(k[867]*y[25] - k[868]*y[4]*y[65]) )
+ df_list.append( -(k[7]*y[3]*y[5] - k[8]*y[1]*y[6]) +(k[9]*y[3]*y[7] - k[10]*y[5]*y[1]) -(k[15]*y[6]*y[5] - k[16]*y[10]*y[3]) -(k[21]*y[5]*y[7] - k[22]*y[3]*y[11]) -(k[27]*y[5]*y[9] - k[28]*y[3]*y[14]) -(k[39]*y[5]*y[8] - k[40]*y[1]*y[11]) +(k[45]*y[7]*y[7] - k[46]*y[5]*y[8]) +(k[77]*y[12]*y[7] - k[78]*y[5]*y[11]) +(k[81]*y[12]*y[4] - k[82]*y[5]*y[17]) -(k[101]*y[5]*y[4] - k[102]*y[0]*y[6]) -(k[103]*y[4]*y[5] - k[104]*y[3]*y[17]) +(k[113]*y[0]*y[7] - k[114]*y[2]*y[5]) -(k[135]*y[18]*y[5] - k[136]*y[21]*y[17]) -(k[169]*y[5]*y[14] - k[170]*y[11]*y[8]) -(k[217]*y[28]*y[5] - k[218]*y[29]*y[6]) -(k[219]*y[28]*y[5] - k[220]*y[30]*y[3]) +(k[221]*y[28]*y[7] - k[222]*y[29]*y[5]) +(k[235]*y[7]*y[30] - k[236]*y[5]*y[31]) -(k[289]*y[32]*y[5] - k[290]*y[4]*y[31]) -(k[291]*y[32]*y[5] - k[292]*y[17]*y[29]) -(k[315]*y[35]*y[5] - k[316]*y[33]*y[7]) -(k[439]*y[5]*y[2] - k[440]*y[20]*y[3]) -(k[571]*y[5]*y[11] - k[572]*y[59]*y[3]) -(k[583]*y[5]*y[58] - k[584]*y[61]*y[3]) -(k[663]*y[3]*y[5]*M - k[664]*y[7]*M) -(k[677]*y[5]*M - k[678]*y[6]*y[3]*M) -(k[681]*y[5]*y[1]*M - k[682]*y[8]*M) -(k[697]*y[2]*y[5]*M - k[698]*y[19]*M) +(k[795]*y[9] - k[796]*y[5]*y[1]*y[3]) +(k[797]*y[8] - k[798]*y[5]*y[1]) +(k[871]*y[7] - k[872]*y[5]*y[3]) )
+ df_list.append( +(k[7]*y[3]*y[5] - k[8]*y[1]*y[6]) -(k[15]*y[6]*y[5] - k[16]*y[10]*y[3]) -(k[17]*y[8]*y[6] - k[18]*y[3]*y[11]) +(k[41]*y[10]*y[4] - k[42]*y[6]*y[17]) +(k[101]*y[5]*y[4] - k[102]*y[0]*y[6]) -(k[111]*y[0]*y[6] - k[112]*y[17]*y[3]) +(k[217]*y[28]*y[5] - k[218]*y[29]*y[6]) +(k[225]*y[28]*y[10] - k[226]*y[30]*y[6]) +(k[283]*y[28]*y[30] - k[284]*y[34]*y[6]) -(k[287]*y[32]*y[6] - k[288]*y[4]*y[30]) -(k[301]*y[29]*y[6] - k[302]*y[3]*y[30]) -(k[383]*y[25]*y[6] - k[384]*y[4]*y[17]) -(k[593]*y[6]*y[11] - k[594]*y[59]) -(k[675]*y[1]*y[6]*M - k[676]*y[7]*M) +(k[677]*y[5]*M - k[678]*y[6]*y[3]*M) -(k[739]*y[6]*y[6]*M - k[740]*y[10]*M) -(k[739]*y[6]*y[6]*M - k[740]*y[10]*M) -(k[769]*y[4]*y[6]*M - k[770]*y[17]*M) +(k[801]*y[17] - k[802]*y[6]*y[4]) )
+ df_list.append( -(k[9]*y[3]*y[7] - k[10]*y[5]*y[1]) -(k[11]*y[7]*y[1] - k[12]*y[3]*y[8]) -(k[21]*y[5]*y[7] - k[22]*y[3]*y[11]) -(k[29]*y[7]*y[8] - k[30]*y[3]*y[14]) -(k[43]*y[7]*y[7] - k[44]*y[11]*y[3]*y[3]) -(k[43]*y[7]*y[7] - k[44]*y[11]*y[3]*y[3]) -(k[45]*y[7]*y[7] - k[46]*y[5]*y[8]) -(k[45]*y[7]*y[7] - k[46]*y[5]*y[8]) -(k[47]*y[7]*y[7] - k[48]*y[3]*y[13]) -(k[47]*y[7]*y[7] - k[48]*y[3]*y[13]) -(k[49]*y[7]*y[9] - k[50]*y[8]*y[8]) -(k[51]*y[7]*y[15] - k[52]*y[8]*y[14]) +(k[53]*y[8]*y[0] - k[54]*y[7]*y[2]) +(k[55]*y[12]*y[0] - k[56]*y[7]*y[17]) +(k[57]*y[11]*y[4] - k[58]*y[7]*y[17]) +(k[59]*y[8]*y[12] - k[60]*y[11]*y[7]) -(k[77]*y[12]*y[7] - k[78]*y[5]*y[11]) +(k[105]*y[4]*y[8] - k[106]*y[7]*y[0]) -(k[113]*y[0]*y[7] - k[114]*y[2]*y[5]) -(k[147]*y[7]*y[4] - k[148]*y[17]*y[3]*y[3]) -(k[149]*y[7]*y[0] - k[150]*y[20]*y[3]) -(k[151]*y[18]*y[7] - k[152]*y[20]*y[17]) -(k[171]*y[7]*y[13] - k[172]*y[11]*y[8]) -(k[173]*y[4]*y[7] - k[174]*y[17]*y[1]) -(k[175]*y[21]*y[7] - k[176]*y[17]*y[8]) -(k[177]*y[19]*y[7] - k[178]*y[0]*y[14]) -(k[179]*y[19]*y[7] - k[180]*y[20]*y[8]) -(k[181]*y[22]*y[7] - k[182]*y[20]*y[8]) -(k[183]*y[23]*y[7] - k[184]*y[22]*y[8]) -(k[185]*y[23]*y[7] - k[186]*y[19]*y[8]) +(k[207]*y[27]*y[3] - k[208]*y[17]*y[7]) -(k[221]*y[28]*y[7] - k[222]*y[29]*y[5]) -(k[223]*y[28]*y[7] - k[224]*y[31]*y[3]) -(k[235]*y[7]*y[30] - k[236]*y[5]*y[31]) +(k[241]*y[8]*y[30] - k[242]*y[7]*y[31]) -(k[285]*y[34]*y[7] - k[286]*y[29]*y[31]) +(k[315]*y[35]*y[5] - k[316]*y[33]*y[7]) -(k[361]*y[32]*y[7] - k[362]*y[42]*y[3]) +(k[371]*y[8]*y[33] - k[372]*y[35]*y[7]) -(k[385]*y[25]*y[7] - k[386]*y[2]*y[17]) -(k[565]*y[7]*y[11] - k[566]*y[59]*y[1]) -(k[567]*y[7]*y[11] - k[568]*y[58]*y[3]) -(k[569]*y[7]*y[12] - k[570]*y[59]*y[3]) +(k[595]*y[4]*y[14] - k[596]*y[20]*y[7]) +(k[597]*y[4]*y[13] - k[598]*y[21]*y[7]) +(k[635]*y[66]*y[1] - k[636]*y[7]*y[1]) +(k[637]*y[66]*y[2] - k[638]*y[7]*y[2]) +(k[639]*y[66]*y[17] - k[640]*y[7]*y[17]) +(k[663]*y[3]*y[5]*M - k[664]*y[7]*M) +(k[675]*y[1]*y[6]*M - k[676]*y[7]*M) -(k[679]*y[7]*y[3]*M - k[680]*y[8]*M) -(k[757]*y[7]*y[11]*M - k[758]*y[60]*M) -(k[871]*y[7] - k[872]*y[5]*y[3]) )
+ df_list.append( +(k[11]*y[7]*y[1] - k[12]*y[3]*y[8]) +(k[13]*y[3]*y[9] - k[14]*y[8]*y[1]) -(k[17]*y[8]*y[6] - k[18]*y[3]*y[11]) -(k[29]*y[7]*y[8] - k[30]*y[3]*y[14]) +(k[31]*y[3]*y[15] - k[32]*y[8]*y[8]) +(k[31]*y[3]*y[15] - k[32]*y[8]*y[8]) -(k[39]*y[5]*y[8] - k[40]*y[1]*y[11]) +(k[45]*y[7]*y[7] - k[46]*y[5]*y[8]) +(k[49]*y[7]*y[9] - k[50]*y[8]*y[8]) +(k[49]*y[7]*y[9] - k[50]*y[8]*y[8]) +(k[51]*y[7]*y[15] - k[52]*y[8]*y[14]) -(k[53]*y[8]*y[0] - k[54]*y[7]*y[2]) -(k[59]*y[8]*y[12] - k[60]*y[11]*y[7]) +(k[61]*y[9]*y[12] - k[62]*y[8]*y[11]) -(k[63]*y[8]*y[13] - k[64]*y[9]*y[11]) +(k[65]*y[9]*y[13] - k[66]*y[8]*y[14]) -(k[67]*y[8]*y[15] - k[68]*y[9]*y[14]) -(k[69]*y[8]*y[16] - k[70]*y[9]*y[15]) +(k[71]*y[11]*y[0] - k[72]*y[8]*y[17]) +(k[75]*y[10]*y[9] - k[76]*y[8]*y[12]) -(k[105]*y[4]*y[8] - k[106]*y[7]*y[0]) -(k[107]*y[8]*y[0] - k[108]*y[4]*y[9]) +(k[115]*y[0]*y[9] - k[116]*y[2]*y[8]) +(k[121]*y[19]*y[3] - k[122]*y[0]*y[8]) +(k[125]*y[4]*y[14] - k[126]*y[21]*y[8]) -(k[127]*y[20]*y[8] - k[128]*y[9]*y[21]) -(k[129]*y[8]*y[19] - k[130]*y[20]*y[9]) -(k[137]*y[8]*y[4] - k[138]*y[20]*y[3]) +(k[145]*y[23]*y[3] - k[146]*y[8]*y[2]) +(k[153]*y[22]*y[17] - k[154]*y[8]*y[18]) +(k[169]*y[5]*y[14] - k[170]*y[11]*y[8]) +(k[171]*y[7]*y[13] - k[172]*y[11]*y[8]) +(k[175]*y[21]*y[7] - k[176]*y[17]*y[8]) +(k[179]*y[19]*y[7] - k[180]*y[20]*y[8]) +(k[181]*y[22]*y[7] - k[182]*y[20]*y[8]) +(k[183]*y[23]*y[7] - k[184]*y[22]*y[8]) +(k[185]*y[23]*y[7] - k[186]*y[19]*y[8]) -(k[187]*y[21]*y[8] - k[188]*y[17]*y[9]) -(k[189]*y[22]*y[8] - k[190]*y[20]*y[9]) -(k[191]*y[23]*y[8] - k[192]*y[22]*y[9]) +(k[193]*y[24]*y[3] - k[194]*y[21]*y[8]) -(k[195]*y[24]*y[8] - k[196]*y[17]*y[16]) +(k[201]*y[3]*y[26] - k[202]*y[17]*y[8]) -(k[237]*y[8]*y[29] - k[238]*y[9]*y[28]) -(k[239]*y[8]*y[33] - k[240]*y[9]*y[29]) -(k[241]*y[8]*y[30] - k[242]*y[7]*y[31]) +(k[243]*y[9]*y[30] - k[244]*y[31]*y[8]) -(k[293]*y[32]*y[8] - k[294]*y[31]*y[2]) +(k[307]*y[33]*y[9] - k[308]*y[8]*y[35]) -(k[331]*y[36]*y[8] - k[332]*y[37]*y[9]) -(k[367]*y[8]*y[28] - k[368]*y[41]*y[3]) -(k[369]*y[8]*y[28] - k[370]*y[31]*y[1]) -(k[371]*y[8]*y[33] - k[372]*y[35]*y[7]) -(k[377]*y[32]*y[8] - k[378]*y[41]*y[0]) +(k[381]*y[4]*y[22] - k[382]*y[25]*y[8]) -(k[387]*y[25]*y[8] - k[388]*y[0]*y[20]) -(k[413]*y[43]*y[8] - k[414]*y[32]*y[22]) -(k[423]*y[46]*y[8] - k[424]*y[33]*y[15]) -(k[431]*y[8]*y[33] - k[432]*y[47]*y[1]) -(k[433]*y[8]*y[33] - k[434]*y[46]*y[3]) -(k[435]*y[48]*y[8] - k[436]*y[46]*y[9]) -(k[513]*y[8]*y[52] - k[514]*y[9]*y[25]) +(k[527]*y[3]*y[55] - k[528]*y[31]*y[8]) +(k[547]*y[52]*y[9] - k[548]*y[8]*y[53]) +(k[553]*y[12]*y[15] - k[554]*y[58]*y[8]) +(k[555]*y[13]*y[13] - k[556]*y[8]*y[58]) -(k[573]*y[8]*y[12] - k[574]*y[58]*y[3]) -(k[579]*y[38]*y[8] - k[580]*y[36]*y[9]) -(k[581]*y[8]*y[11] - k[582]*y[60]*y[3]) +(k[591]*y[64]*y[9] - k[592]*y[63]*y[8]) -(k[611]*y[8]*y[30] - k[612]*y[56]*y[3]) +(k[619]*y[65]*y[9] - k[620]*y[0]*y[8]) +(k[633]*y[66]*y[1] - k[634]*y[8]*y[3]) -(k[653]*y[0]*y[8] - k[654]*y[66]*y[2]) -(k[665]*y[3]*y[8]*M - k[666]*y[9]*M) +(k[679]*y[7]*y[3]*M - k[680]*y[8]*M) +(k[681]*y[5]*y[1]*M - k[682]*y[8]*M) -(k[683]*y[8]*y[8]*M - k[684]*y[16]*M) -(k[683]*y[8]*y[8]*M - k[684]*y[16]*M) -(k[705]*y[17]*y[8]*M - k[706]*y[24]*M) -(k[733]*y[33]*y[8]*M - k[734]*y[48]*M) -(k[781]*y[0]*y[8]*M - k[782]*y[23]*M) +(k[789]*y[9] - k[790]*y[8]*y[3]) -(k[797]*y[8] - k[798]*y[5]*y[1]) -(k[799]*y[8] - k[800]*y[66]*y[3]) +(k[825]*y[16] - k[826]*y[8]*y[8]) +(k[825]*y[16] - k[826]*y[8]*y[8]) +(k[835]*y[23] - k[836]*y[8]*y[0]) +(k[843]*y[49] - k[844]*y[8]*y[21]) )
+ df_list.append( -(k[13]*y[3]*y[9] - k[14]*y[8]*y[1]) -(k[27]*y[5]*y[9] - k[28]*y[3]*y[14]) -(k[49]*y[7]*y[9] - k[50]*y[8]*y[8]) -(k[61]*y[9]*y[12] - k[62]*y[8]*y[11]) +(k[63]*y[8]*y[13] - k[64]*y[9]*y[11]) -(k[65]*y[9]*y[13] - k[66]*y[8]*y[14]) +(k[67]*y[8]*y[15] - k[68]*y[9]*y[14]) +(k[69]*y[8]*y[16] - k[70]*y[9]*y[15]) -(k[75]*y[10]*y[9] - k[76]*y[8]*y[12]) +(k[107]*y[8]*y[0] - k[108]*y[4]*y[9]) -(k[115]*y[0]*y[9] - k[116]*y[2]*y[8]) +(k[127]*y[20]*y[8] - k[128]*y[9]*y[21]) +(k[129]*y[8]*y[19] - k[130]*y[20]*y[9]) +(k[187]*y[21]*y[8] - k[188]*y[17]*y[9]) +(k[189]*y[22]*y[8] - k[190]*y[20]*y[9]) +(k[191]*y[23]*y[8] - k[192]*y[22]*y[9]) +(k[237]*y[8]*y[29] - k[238]*y[9]*y[28]) +(k[239]*y[8]*y[33] - k[240]*y[9]*y[29]) -(k[243]*y[9]*y[30] - k[244]*y[31]*y[8]) -(k[307]*y[33]*y[9] - k[308]*y[8]*y[35]) +(k[331]*y[36]*y[8] - k[332]*y[37]*y[9]) +(k[435]*y[48]*y[8] - k[436]*y[46]*y[9]) +(k[513]*y[8]*y[52] - k[514]*y[9]*y[25]) -(k[547]*y[52]*y[9] - k[548]*y[8]*y[53]) +(k[579]*y[38]*y[8] - k[580]*y[36]*y[9]) -(k[591]*y[64]*y[9] - k[592]*y[63]*y[8]) -(k[619]*y[65]*y[9] - k[620]*y[0]*y[8]) +(k[665]*y[3]*y[8]*M - k[666]*y[9]*M) -(k[789]*y[9] - k[790]*y[8]*y[3]) -(k[791]*y[9] - k[792]*y[66]*y[1]) -(k[793]*y[9] - k[794]*y[66]*y[3]*y[3]) -(k[795]*y[9] - k[796]*y[5]*y[1]*y[3]) +(k[823]*y[16] - k[824]*y[9]*y[66]) +(k[841]*y[49] - k[842]*y[9]*y[17]) )
+ df_list.append( +(k[15]*y[6]*y[5] - k[16]*y[10]*y[3]) -(k[41]*y[10]*y[4] - k[42]*y[6]*y[17]) -(k[73]*y[10]*y[1] - k[74]*y[3]*y[12]) -(k[75]*y[10]*y[9] - k[76]*y[8]*y[12]) -(k[225]*y[28]*y[10] - k[226]*y[30]*y[6]) -(k[245]*y[10]*y[34] - k[246]*y[30]*y[30]) -(k[539]*y[57]*y[10] - k[540]*y[31]*y[45]) -(k[541]*y[57]*y[10] - k[542]*y[54]*y[11]) +(k[739]*y[6]*y[6]*M - k[740]*y[10]*M) +(k[767]*y[12]*M - k[768]*y[10]*y[3]*M) +(k[869]*y[45] - k[870]*y[11]*y[10]) )
+ df_list.append( +(k[17]*y[8]*y[6] - k[18]*y[3]*y[11]) +(k[19]*y[1]*y[12] - k[20]*y[3]*y[11]) +(k[21]*y[5]*y[7] - k[22]*y[3]*y[11]) +(k[23]*y[3]*y[13] - k[24]*y[11]*y[1]) +(k[39]*y[5]*y[8] - k[40]*y[1]*y[11]) +(k[43]*y[7]*y[7] - k[44]*y[11]*y[3]*y[3]) -(k[57]*y[11]*y[4] - k[58]*y[7]*y[17]) +(k[59]*y[8]*y[12] - k[60]*y[11]*y[7]) +(k[61]*y[9]*y[12] - k[62]*y[8]*y[11]) +(k[63]*y[8]*y[13] - k[64]*y[9]*y[11]) -(k[71]*y[11]*y[0] - k[72]*y[8]*y[17]) +(k[77]*y[12]*y[7] - k[78]*y[5]*y[11]) +(k[79]*y[12]*y[16] - k[80]*y[11]*y[15]) +(k[83]*y[12]*y[0] - k[84]*y[11]*y[4]) +(k[85]*y[12]*y[2] - k[86]*y[11]*y[0]) +(k[87]*y[13]*y[13] - k[88]*y[14]*y[11]) +(k[91]*y[13]*y[15] - k[92]*y[16]*y[11]) +(k[117]*y[0]*y[13] - k[118]*y[2]*y[11]) +(k[157]*y[21]*y[12] - k[158]*y[11]*y[17]) +(k[159]*y[19]*y[12] - k[160]*y[20]*y[11]) +(k[161]*y[22]*y[12] - k[162]*y[20]*y[11]) +(k[163]*y[23]*y[12] - k[164]*y[19]*y[11]) +(k[165]*y[23]*y[12] - k[166]*y[22]*y[11]) +(k[167]*y[4]*y[13] - k[168]*y[11]*y[0]) +(k[169]*y[5]*y[14] - k[170]*y[11]*y[8]) +(k[171]*y[7]*y[13] - k[172]*y[11]*y[8]) -(k[205]*y[11]*y[4] - k[206]*y[27]*y[3]) +(k[247]*y[33]*y[12] - k[248]*y[29]*y[11]) +(k[249]*y[33]*y[13] - k[250]*y[35]*y[11]) -(k[417]*y[12]*y[11] - k[418]*y[45]*y[3]) -(k[523]*y[30]*y[11] - k[524]*y[54]*y[3]) +(k[541]*y[57]*y[10] - k[542]*y[54]*y[11]) -(k[565]*y[7]*y[11] - k[566]*y[59]*y[1]) -(k[567]*y[7]*y[11] - k[568]*y[58]*y[3]) -(k[571]*y[5]*y[11] - k[572]*y[59]*y[3]) -(k[581]*y[8]*y[11] - k[582]*y[60]*y[3]) -(k[587]*y[11]*y[62] - k[588]*y[63]*y[3]) -(k[593]*y[6]*y[11] - k[594]*y[59]) -(k[641]*y[66]*y[11] - k[642]*y[58]*y[3]) -(k[667]*y[3]*y[11]*M - k[668]*y[13]*M) +(k[685]*y[12]*y[3]*M - k[686]*y[11]*M) +(k[687]*y[14]*M - k[688]*y[11]*y[1]*M) -(k[703]*y[0]*y[11]*M - k[704]*y[24]*M) -(k[757]*y[7]*y[11]*M - k[758]*y[60]*M) -(k[763]*y[11]*y[61]*M - k[764]*y[64]*M) -(k[765]*y[11]*y[13]*M - k[766]*y[62]*M) -(k[805]*y[11] - k[806]*y[12]*y[3]) +(k[811]*y[14] - k[812]*y[11]*y[1]) +(k[813]*y[14] - k[814]*y[11]*y[3]*y[3]) +(k[821]*y[16] - k[822]*y[11]*y[1]*y[1]) +(k[869]*y[45] - k[870]*y[11]*y[10]) )
+ df_list.append( -(k[19]*y[1]*y[12] - k[20]*y[3]*y[11]) -(k[55]*y[12]*y[0] - k[56]*y[7]*y[17]) -(k[59]*y[8]*y[12] - k[60]*y[11]*y[7]) -(k[61]*y[9]*y[12] - k[62]*y[8]*y[11]) +(k[73]*y[10]*y[1] - k[74]*y[3]*y[12]) +(k[75]*y[10]*y[9] - k[76]*y[8]*y[12]) -(k[77]*y[12]*y[7] - k[78]*y[5]*y[11]) -(k[79]*y[12]*y[16] - k[80]*y[11]*y[15]) -(k[81]*y[12]*y[4] - k[82]*y[5]*y[17]) -(k[83]*y[12]*y[0] - k[84]*y[11]*y[4]) -(k[85]*y[12]*y[2] - k[86]*y[11]*y[0]) -(k[157]*y[21]*y[12] - k[158]*y[11]*y[17]) -(k[159]*y[19]*y[12] - k[160]*y[20]*y[11]) -(k[161]*y[22]*y[12] - k[162]*y[20]*y[11]) -(k[163]*y[23]*y[12] - k[164]*y[19]*y[11]) -(k[165]*y[23]*y[12] - k[166]*y[22]*y[11]) -(k[247]*y[33]*y[12] - k[248]*y[29]*y[11]) -(k[389]*y[25]*y[12] - k[390]*y[17]*y[21]) -(k[417]*y[12]*y[11] - k[418]*y[45]*y[3]) -(k[525]*y[31]*y[12] - k[526]*y[54]*y[3]) -(k[553]*y[12]*y[15] - k[554]*y[58]*y[8]) -(k[559]*y[19]*y[12] - k[560]*y[0]*y[58]) -(k[569]*y[7]*y[12] - k[570]*y[59]*y[3]) -(k[573]*y[8]*y[12] - k[574]*y[58]*y[3]) -(k[585]*y[12]*y[15] - k[586]*y[62]*y[3]) -(k[685]*y[12]*y[3]*M - k[686]*y[11]*M) -(k[767]*y[12]*M - k[768]*y[10]*y[3]*M) +(k[805]*y[11] - k[806]*y[12]*y[3]) )
+ df_list.append( -(k[23]*y[3]*y[13] - k[24]*y[11]*y[1]) -(k[25]*y[1]*y[13] - k[26]*y[3]*y[14]) +(k[47]*y[7]*y[7] - k[48]*y[3]*y[13]) -(k[63]*y[8]*y[13] - k[64]*y[9]*y[11]) -(k[65]*y[9]*y[13] - k[66]*y[8]*y[14]) -(k[87]*y[13]*y[13] - k[88]*y[14]*y[11]) -(k[87]*y[13]*y[13] - k[88]*y[14]*y[11]) -(k[89]*y[13]*y[15] - k[90]*y[14]*y[14]) -(k[91]*y[13]*y[15] - k[92]*y[16]*y[11]) +(k[93]*y[14]*y[0] - k[94]*y[13]*y[2]) +(k[97]*y[15]*y[14] - k[98]*y[13]*y[16]) -(k[117]*y[0]*y[13] - k[118]*y[2]*y[11]) -(k[167]*y[4]*y[13] - k[168]*y[11]*y[0]) -(k[171]*y[7]*y[13] - k[172]*y[11]*y[8]) -(k[203]*y[4]*y[13] - k[204]*y[26]*y[3]) -(k[249]*y[33]*y[13] - k[250]*y[35]*y[11]) +(k[251]*y[33]*y[14] - k[252]*y[35]*y[13]) -(k[391]*y[25]*y[13] - k[392]*y[20]*y[21]) -(k[537]*y[31]*y[13] - k[538]*y[57]*y[3]) -(k[543]*y[28]*y[13] - k[544]*y[56]*y[3]) -(k[555]*y[13]*y[13] - k[556]*y[8]*y[58]) -(k[555]*y[13]*y[13] - k[556]*y[8]*y[58]) +(k[557]*y[58]*y[0] - k[558]*y[21]*y[13]) -(k[597]*y[4]*y[13] - k[598]*y[21]*y[7]) +(k[667]*y[3]*y[11]*M - k[668]*y[13]*M) -(k[669]*y[3]*y[13]*M - k[670]*y[14]*M) -(k[765]*y[11]*y[13]*M - k[766]*y[62]*M) +(k[815]*y[14] - k[816]*y[13]*y[3]) )
+ df_list.append( +(k[25]*y[1]*y[13] - k[26]*y[3]*y[14]) +(k[27]*y[5]*y[9] - k[28]*y[3]*y[14]) +(k[29]*y[7]*y[8] - k[30]*y[3]*y[14]) +(k[33]*y[3]*y[15] - k[34]*y[14]*y[1]) +(k[51]*y[7]*y[15] - k[52]*y[8]*y[14]) +(k[65]*y[9]*y[13] - k[66]*y[8]*y[14]) +(k[67]*y[8]*y[15] - k[68]*y[9]*y[14]) +(k[87]*y[13]*y[13] - k[88]*y[14]*y[11]) +(k[89]*y[13]*y[15] - k[90]*y[14]*y[14]) +(k[89]*y[13]*y[15] - k[90]*y[14]*y[14]) -(k[93]*y[14]*y[0] - k[94]*y[13]*y[2]) +(k[95]*y[15]*y[15] - k[96]*y[14]*y[16]) -(k[97]*y[15]*y[14] - k[98]*y[13]*y[16]) +(k[119]*y[0]*y[15] - k[120]*y[2]*y[14]) -(k[125]*y[4]*y[14] - k[126]*y[21]*y[8]) -(k[169]*y[5]*y[14] - k[170]*y[11]*y[8]) +(k[177]*y[19]*y[7] - k[178]*y[0]*y[14]) -(k[251]*y[33]*y[14] - k[252]*y[35]*y[13]) +(k[253]*y[33]*y[15] - k[254]*y[35]*y[14]) -(k[535]*y[30]*y[14] - k[536]*y[57]*y[3]) -(k[595]*y[4]*y[14] - k[596]*y[20]*y[7]) +(k[669]*y[3]*y[13]*M - k[670]*y[14]*M) -(k[671]*y[3]*y[14]*M - k[672]*y[15]*M) -(k[687]*y[14]*M - k[688]*y[11]*y[1]*M) +(k[689]*y[16]*M - k[690]*y[14]*y[1]*M) -(k[811]*y[14] - k[812]*y[11]*y[1]) -(k[813]*y[14] - k[814]*y[11]*y[3]*y[3]) -(k[815]*y[14] - k[816]*y[13]*y[3]) +(k[817]*y[16] - k[818]*y[14]*y[1]) +(k[819]*y[16] - k[820]*y[14]*y[3]*y[3]) )
+ df_list.append( -(k[31]*y[3]*y[15] - k[32]*y[8]*y[8]) -(k[33]*y[3]*y[15] - k[34]*y[14]*y[1]) +(k[35]*y[3]*y[16] - k[36]*y[15]*y[1]) -(k[51]*y[7]*y[15] - k[52]*y[8]*y[14]) -(k[67]*y[8]*y[15] - k[68]*y[9]*y[14]) +(k[69]*y[8]*y[16] - k[70]*y[9]*y[15]) +(k[79]*y[12]*y[16] - k[80]*y[11]*y[15]) -(k[89]*y[13]*y[15] - k[90]*y[14]*y[14]) -(k[91]*y[13]*y[15] - k[92]*y[16]*y[11]) -(k[95]*y[15]*y[15] - k[96]*y[14]*y[16]) -(k[95]*y[15]*y[15] - k[96]*y[14]*y[16]) -(k[97]*y[15]*y[14] - k[98]*y[13]*y[16]) +(k[99]*y[16]*y[0] - k[100]*y[15]*y[2]) +(k[109]*y[4]*y[16] - k[110]*y[0]*y[15]) -(k[119]*y[0]*y[15] - k[120]*y[2]*y[14]) -(k[253]*y[33]*y[15] - k[254]*y[35]*y[14]) +(k[255]*y[33]*y[16] - k[256]*y[35]*y[15]) +(k[319]*y[30]*y[16] - k[320]*y[15]*y[31]) +(k[423]*y[46]*y[8] - k[424]*y[33]*y[15]) -(k[441]*y[4]*y[15] - k[442]*y[49]*y[3]) -(k[515]*y[15]*y[52] - k[516]*y[16]*y[25]) -(k[553]*y[12]*y[15] - k[554]*y[58]*y[8]) -(k[585]*y[12]*y[15] - k[586]*y[62]*y[3]) +(k[615]*y[65]*y[16] - k[616]*y[15]*y[0]) +(k[671]*y[3]*y[14]*M - k[672]*y[15]*M) -(k[673]*y[3]*y[15]*M - k[674]*y[16]*M) )
+ df_list.append( -(k[35]*y[3]*y[16] - k[36]*y[15]*y[1]) -(k[69]*y[8]*y[16] - k[70]*y[9]*y[15]) -(k[79]*y[12]*y[16] - k[80]*y[11]*y[15]) +(k[91]*y[13]*y[15] - k[92]*y[16]*y[11]) +(k[95]*y[15]*y[15] - k[96]*y[14]*y[16]) +(k[97]*y[15]*y[14] - k[98]*y[13]*y[16]) -(k[99]*y[16]*y[0] - k[100]*y[15]*y[2]) -(k[109]*y[4]*y[16] - k[110]*y[0]*y[15]) +(k[195]*y[24]*y[8] - k[196]*y[17]*y[16]) -(k[255]*y[33]*y[16] - k[256]*y[35]*y[15]) -(k[319]*y[30]*y[16] - k[320]*y[15]*y[31]) +(k[515]*y[15]*y[52] - k[516]*y[16]*y[25]) -(k[615]*y[65]*y[16] - k[616]*y[15]*y[0]) +(k[673]*y[3]*y[15]*M - k[674]*y[16]*M) +(k[683]*y[8]*y[8]*M - k[684]*y[16]*M) -(k[689]*y[16]*M - k[690]*y[14]*y[1]*M) -(k[817]*y[16] - k[818]*y[14]*y[1]) -(k[819]*y[16] - k[820]*y[14]*y[3]*y[3]) -(k[821]*y[16] - k[822]*y[11]*y[1]*y[1]) -(k[823]*y[16] - k[824]*y[9]*y[66]) -(k[825]*y[16] - k[826]*y[8]*y[8]) )
+ df_list.append( -(k[37]*y[0]*y[17] - k[38]*y[3]*y[18]) +(k[41]*y[10]*y[4] - k[42]*y[6]*y[17]) +(k[55]*y[12]*y[0] - k[56]*y[7]*y[17]) +(k[57]*y[11]*y[4] - k[58]*y[7]*y[17]) +(k[71]*y[11]*y[0] - k[72]*y[8]*y[17]) +(k[81]*y[12]*y[4] - k[82]*y[5]*y[17]) +(k[103]*y[4]*y[5] - k[104]*y[3]*y[17]) +(k[111]*y[0]*y[6] - k[112]*y[17]*y[3]) +(k[131]*y[21]*y[3] - k[132]*y[17]*y[1]) +(k[133]*y[21]*y[0] - k[134]*y[17]*y[2]) +(k[135]*y[18]*y[5] - k[136]*y[21]*y[17]) +(k[147]*y[7]*y[4] - k[148]*y[17]*y[3]*y[3]) +(k[151]*y[18]*y[7] - k[152]*y[20]*y[17]) -(k[153]*y[22]*y[17] - k[154]*y[8]*y[18]) +(k[157]*y[21]*y[12] - k[158]*y[11]*y[17]) +(k[173]*y[4]*y[7] - k[174]*y[17]*y[1]) +(k[175]*y[21]*y[7] - k[176]*y[17]*y[8]) +(k[187]*y[21]*y[8] - k[188]*y[17]*y[9]) +(k[195]*y[24]*y[8] - k[196]*y[17]*y[16]) +(k[201]*y[3]*y[26] - k[202]*y[17]*y[8]) +(k[207]*y[27]*y[3] - k[208]*y[17]*y[7]) +(k[211]*y[21]*y[21] - k[212]*y[20]*y[17]) +(k[269]*y[0]*y[31] - k[270]*y[33]*y[17]) +(k[275]*y[30]*y[4] - k[276]*y[28]*y[17]) +(k[277]*y[28]*y[18] - k[278]*y[17]*y[32]) +(k[291]*y[32]*y[5] - k[292]*y[17]*y[29]) +(k[299]*y[32]*y[30] - k[300]*y[34]*y[17]) +(k[321]*y[31]*y[4] - k[322]*y[17]*y[29]) +(k[363]*y[42]*y[3] - k[364]*y[17]*y[33]) +(k[383]*y[25]*y[6] - k[384]*y[4]*y[17]) +(k[385]*y[25]*y[7] - k[386]*y[2]*y[17]) +(k[389]*y[25]*y[12] - k[390]*y[17]*y[21]) +(k[455]*y[32]*y[21] - k[456]*y[40]*y[17]) +(k[471]*y[51]*y[21] - k[472]*y[42]*y[17]) +(k[473]*y[30]*y[18] - k[474]*y[17]*y[51]) -(k[501]*y[17]*y[52] - k[502]*y[18]*y[0]) +(k[517]*y[21]*y[25] - k[518]*y[17]*y[52]) -(k[627]*y[65]*y[17] - k[628]*y[18]) -(k[639]*y[66]*y[17] - k[640]*y[7]*y[17]) +(k[639]*y[66]*y[17] - k[640]*y[7]*y[17]) -(k[691]*y[17]*y[4]*M - k[692]*y[18]*M) -(k[695]*y[3]*y[17]*M - k[696]*y[21]*M) -(k[705]*y[17]*y[8]*M - k[706]*y[24]*M) -(k[709]*y[17]*y[1]*M - k[710]*y[20]*M) +(k[723]*y[42]*M - k[724]*y[17]*y[29]*M) +(k[769]*y[4]*y[6]*M - k[770]*y[17]*M) -(k[801]*y[17] - k[802]*y[6]*y[4]) +(k[807]*y[18] - k[808]*y[17]*y[4]) +(k[809]*y[18] - k[810]*y[17]*y[65]) +(k[829]*y[21] - k[830]*y[3]*y[17]) +(k[831]*y[20] - k[832]*y[1]*y[17]) +(k[841]*y[49] - k[842]*y[9]*y[17]) +(k[859]*y[42] - k[860]*y[29]*y[17]) )
+ df_list.append( +(k[37]*y[0]*y[17] - k[38]*y[3]*y[18]) -(k[135]*y[18]*y[5] - k[136]*y[21]*y[17]) -(k[151]*y[18]*y[7] - k[152]*y[20]*y[17]) +(k[153]*y[22]*y[17] - k[154]*y[8]*y[18]) -(k[277]*y[28]*y[18] - k[278]*y[17]*y[32]) -(k[473]*y[30]*y[18] - k[474]*y[17]*y[51]) +(k[501]*y[17]*y[52] - k[502]*y[18]*y[0]) -(k[623]*y[65]*y[18] - k[624]*y[4]*y[18]) +(k[623]*y[65]*y[18] - k[624]*y[4]*y[18]) +(k[627]*y[65]*y[17] - k[628]*y[18]) +(k[691]*y[17]*y[4]*M - k[692]*y[18]*M) -(k[807]*y[18] - k[808]*y[17]*y[4]) -(k[809]*y[18] - k[810]*y[17]*y[65]) )
+ df_list.append( -(k[121]*y[19]*y[3] - k[122]*y[0]*y[8]) -(k[129]*y[8]*y[19] - k[130]*y[20]*y[9]) +(k[155]*y[23]*y[3] - k[156]*y[19]*y[1]) -(k[159]*y[19]*y[12] - k[160]*y[20]*y[11]) +(k[163]*y[23]*y[12] - k[164]*y[19]*y[11]) -(k[177]*y[19]*y[7] - k[178]*y[0]*y[14]) -(k[179]*y[19]*y[7] - k[180]*y[20]*y[8]) +(k[185]*y[23]*y[7] - k[186]*y[19]*y[8]) -(k[213]*y[19]*y[22] - k[214]*y[20]*y[23]) +(k[425]*y[46]*y[0] - k[426]*y[19]*y[33]) -(k[559]*y[19]*y[12] - k[560]*y[0]*y[58]) +(k[601]*y[23]*y[0] - k[602]*y[19]*y[2]) -(k[693]*y[19]*M - k[694]*y[3]*y[20]*M) +(k[697]*y[2]*y[5]*M - k[698]*y[19]*M) -(k[701]*y[19]*y[3]*M - k[702]*y[23]*M) )
+ df_list.append( -(k[123]*y[20]*y[3] - k[124]*y[21]*y[1]) -(k[127]*y[20]*y[8] - k[128]*y[9]*y[21]) +(k[129]*y[8]*y[19] - k[130]*y[20]*y[9]) +(k[137]*y[8]*y[4] - k[138]*y[20]*y[3]) +(k[139]*y[22]*y[4] - k[140]*y[20]*y[0]) +(k[141]*y[22]*y[0] - k[142]*y[20]*y[2]) +(k[149]*y[7]*y[0] - k[150]*y[20]*y[3]) +(k[151]*y[18]*y[7] - k[152]*y[20]*y[17]) +(k[159]*y[19]*y[12] - k[160]*y[20]*y[11]) +(k[161]*y[22]*y[12] - k[162]*y[20]*y[11]) +(k[179]*y[19]*y[7] - k[180]*y[20]*y[8]) +(k[181]*y[22]*y[7] - k[182]*y[20]*y[8]) +(k[189]*y[22]*y[8] - k[190]*y[20]*y[9]) +(k[199]*y[3]*y[22] - k[200]*y[20]*y[1]) -(k[209]*y[4]*y[20] - k[210]*y[21]*y[0]) +(k[211]*y[21]*y[21] - k[212]*y[20]*y[17]) +(k[213]*y[19]*y[22] - k[214]*y[20]*y[23]) +(k[215]*y[22]*y[22] - k[216]*y[20]*y[23]) +(k[387]*y[25]*y[8] - k[388]*y[0]*y[20]) +(k[391]*y[25]*y[13] - k[392]*y[20]*y[21]) +(k[439]*y[5]*y[2] - k[440]*y[20]*y[3]) +(k[453]*y[32]*y[22] - k[454]*y[40]*y[20]) +(k[595]*y[4]*y[14] - k[596]*y[20]*y[7]) -(k[605]*y[25]*y[20] - k[606]*y[52]*y[21]) +(k[609]*y[22]*y[25] - k[610]*y[20]*y[52]) +(k[693]*y[19]*M - k[694]*y[3]*y[20]*M) +(k[699]*y[22]*M - k[700]*y[3]*y[20]*M) +(k[707]*y[21]*y[3]*M - k[708]*y[20]*M) +(k[709]*y[17]*y[1]*M - k[710]*y[20]*M) -(k[831]*y[20] - k[832]*y[1]*y[17]) -(k[833]*y[20] - k[834]*y[3]*y[21]) +(k[837]*y[23] - k[838]*y[20]*y[1]) )
+ df_list.append( +(k[123]*y[20]*y[3] - k[124]*y[21]*y[1]) +(k[125]*y[4]*y[14] - k[126]*y[21]*y[8]) +(k[127]*y[20]*y[8] - k[128]*y[9]*y[21]) -(k[131]*y[21]*y[3] - k[132]*y[17]*y[1]) -(k[133]*y[21]*y[0] - k[134]*y[17]*y[2]) +(k[135]*y[18]*y[5] - k[136]*y[21]*y[17]) -(k[157]*y[21]*y[12] - k[158]*y[11]*y[17]) -(k[175]*y[21]*y[7] - k[176]*y[17]*y[8]) -(k[187]*y[21]*y[8] - k[188]*y[17]*y[9]) +(k[193]*y[24]*y[3] - k[194]*y[21]*y[8]) +(k[209]*y[4]*y[20] - k[210]*y[21]*y[0]) -(k[211]*y[21]*y[21] - k[212]*y[20]*y[17]) -(k[211]*y[21]*y[21] - k[212]*y[20]*y[17]) +(k[389]*y[25]*y[12] - k[390]*y[17]*y[21]) +(k[391]*y[25]*y[13] - k[392]*y[20]*y[21]) -(k[455]*y[32]*y[21] - k[456]*y[40]*y[17]) -(k[471]*y[51]*y[21] - k[472]*y[42]*y[17]) -(k[517]*y[21]*y[25] - k[518]*y[17]*y[52]) +(k[545]*y[56]*y[4] - k[546]*y[31]*y[21]) +(k[557]*y[58]*y[0] - k[558]*y[21]*y[13]) +(k[597]*y[4]*y[13] - k[598]*y[21]*y[7]) +(k[605]*y[25]*y[20] - k[606]*y[52]*y[21]) +(k[695]*y[3]*y[17]*M - k[696]*y[21]*M) -(k[707]*y[21]*y[3]*M - k[708]*y[20]*M) -(k[829]*y[21] - k[830]*y[3]*y[17]) +(k[833]*y[20] - k[834]*y[3]*y[21]) +(k[843]*y[49] - k[844]*y[8]*y[21]) )
+ df_list.append( -(k[139]*y[22]*y[4] - k[140]*y[20]*y[0]) -(k[141]*y[22]*y[0] - k[142]*y[20]*y[2]) +(k[143]*y[23]*y[3] - k[144]*y[22]*y[1]) -(k[153]*y[22]*y[17] - k[154]*y[8]*y[18]) -(k[161]*y[22]*y[12] - k[162]*y[20]*y[11]) +(k[165]*y[23]*y[12] - k[166]*y[22]*y[11]) -(k[181]*y[22]*y[7] - k[182]*y[20]*y[8]) +(k[183]*y[23]*y[7] - k[184]*y[22]*y[8]) -(k[189]*y[22]*y[8] - k[190]*y[20]*y[9]) +(k[191]*y[23]*y[8] - k[192]*y[22]*y[9]) -(k[199]*y[3]*y[22] - k[200]*y[20]*y[1]) -(k[213]*y[19]*y[22] - k[214]*y[20]*y[23]) -(k[215]*y[22]*y[22] - k[216]*y[20]*y[23]) -(k[215]*y[22]*y[22] - k[216]*y[20]*y[23]) -(k[381]*y[4]*y[22] - k[382]*y[25]*y[8]) +(k[413]*y[43]*y[8] - k[414]*y[32]*y[22]) -(k[453]*y[32]*y[22] - k[454]*y[40]*y[20]) +(k[599]*y[23]*y[0] - k[600]*y[22]*y[2]) -(k[609]*y[22]*y[25] - k[610]*y[20]*y[52]) -(k[699]*y[22]*M - k[700]*y[3]*y[20]*M) +(k[839]*y[23] - k[840]*y[22]*y[3]) )
+ df_list.append( -(k[143]*y[23]*y[3] - k[144]*y[22]*y[1]) -(k[145]*y[23]*y[3] - k[146]*y[8]*y[2]) -(k[155]*y[23]*y[3] - k[156]*y[19]*y[1]) -(k[163]*y[23]*y[12] - k[164]*y[19]*y[11]) -(k[165]*y[23]*y[12] - k[166]*y[22]*y[11]) -(k[183]*y[23]*y[7] - k[184]*y[22]*y[8]) -(k[185]*y[23]*y[7] - k[186]*y[19]*y[8]) -(k[191]*y[23]*y[8] - k[192]*y[22]*y[9]) +(k[213]*y[19]*y[22] - k[214]*y[20]*y[23]) +(k[215]*y[22]*y[22] - k[216]*y[20]*y[23]) -(k[599]*y[23]*y[0] - k[600]*y[22]*y[2]) -(k[601]*y[23]*y[0] - k[602]*y[19]*y[2]) +(k[701]*y[19]*y[3]*M - k[702]*y[23]*M) +(k[781]*y[0]*y[8]*M - k[782]*y[23]*M) -(k[835]*y[23] - k[836]*y[8]*y[0]) -(k[837]*y[23] - k[838]*y[20]*y[1]) -(k[839]*y[23] - k[840]*y[22]*y[3]) )
+ df_list.append( -(k[193]*y[24]*y[3] - k[194]*y[21]*y[8]) -(k[195]*y[24]*y[8] - k[196]*y[17]*y[16]) +(k[443]*y[49]*y[3] - k[444]*y[1]*y[24]) +(k[703]*y[0]*y[11]*M - k[704]*y[24]*M) +(k[705]*y[17]*y[8]*M - k[706]*y[24]*M) )
+ df_list.append( +(k[197]*y[4]*y[0] - k[198]*y[25]*y[3]) +(k[381]*y[4]*y[22] - k[382]*y[25]*y[8]) -(k[383]*y[25]*y[6] - k[384]*y[4]*y[17]) -(k[385]*y[25]*y[7] - k[386]*y[2]*y[17]) -(k[387]*y[25]*y[8] - k[388]*y[0]*y[20]) -(k[389]*y[25]*y[12] - k[390]*y[17]*y[21]) -(k[391]*y[25]*y[13] - k[392]*y[20]*y[21]) -(k[393]*y[28]*y[25] - k[394]*y[32]*y[4]) -(k[395]*y[29]*y[25] - k[396]*y[32]*y[0]) -(k[397]*y[29]*y[25] - k[398]*y[40]*y[4]) -(k[399]*y[25]*y[33] - k[400]*y[40]*y[0]) +(k[401]*y[43]*y[4] - k[402]*y[32]*y[25]) +(k[403]*y[44]*y[4] - k[404]*y[34]*y[25]) +(k[499]*y[52]*y[3] - k[500]*y[25]*y[1]) +(k[511]*y[4]*y[52] - k[512]*y[0]*y[25]) +(k[513]*y[8]*y[52] - k[514]*y[9]*y[25]) +(k[515]*y[15]*y[52] - k[516]*y[16]*y[25]) -(k[517]*y[21]*y[25] - k[518]*y[17]*y[52]) +(k[519]*y[0]*y[52] - k[520]*y[2]*y[25]) +(k[549]*y[52]*y[33] - k[550]*y[35]*y[25]) -(k[605]*y[25]*y[20] - k[606]*y[52]*y[21]) -(k[609]*y[22]*y[25] - k[610]*y[20]*y[52]) +(k[613]*y[52]*y[52] - k[614]*y[53]*y[25]) +(k[629]*y[65]*y[43] - k[630]*y[25]*y[32]) -(k[649]*y[67]*y[25] - k[650]*y[32]*y[4]) +(k[741]*y[52]*y[52]*M - k[742]*y[53]*y[25]*M) -(k[745]*y[3]*y[25]*M - k[746]*y[52]*M) +(k[775]*y[4]*y[4]*M - k[776]*y[25]*M) -(k[865]*y[25] - k[866]*y[4]*y[4]) -(k[867]*y[25] - k[868]*y[4]*y[65]) )
+ df_list.append( -(k[201]*y[3]*y[26] - k[202]*y[17]*y[8]) +(k[203]*y[4]*y[13] - k[204]*y[26]*y[3]) )
+ df_list.append( +(k[205]*y[11]*y[4] - k[206]*y[27]*y[3]) -(k[207]*y[27]*y[3] - k[208]*y[17]*y[7]) )
+ df_list.append( -(k[217]*y[28]*y[5] - k[218]*y[29]*y[6]) -(k[219]*y[28]*y[5] - k[220]*y[30]*y[3]) -(k[221]*y[28]*y[7] - k[222]*y[29]*y[5]) -(k[223]*y[28]*y[7] - k[224]*y[31]*y[3]) -(k[225]*y[28]*y[10] - k[226]*y[30]*y[6]) -(k[227]*y[28]*y[0] - k[228]*y[32]*y[3]) +(k[229]*y[3]*y[29] - k[230]*y[1]*y[28]) +(k[237]*y[8]*y[29] - k[238]*y[9]*y[28]) +(k[257]*y[4]*y[29] - k[258]*y[0]*y[28]) +(k[263]*y[0]*y[29] - k[264]*y[2]*y[28]) +(k[275]*y[30]*y[4] - k[276]*y[28]*y[17]) -(k[277]*y[28]*y[18] - k[278]*y[17]*y[32]) -(k[279]*y[28]*y[32] - k[280]*y[34]*y[4]) -(k[281]*y[28]*y[29] - k[282]*y[34]*y[3]) -(k[283]*y[28]*y[30] - k[284]*y[34]*y[6]) -(k[367]*y[8]*y[28] - k[368]*y[41]*y[3]) -(k[369]*y[8]*y[28] - k[370]*y[31]*y[1]) -(k[393]*y[28]*y[25] - k[394]*y[32]*y[4]) +(k[489]*y[29]*y[33] - k[490]*y[35]*y[28]) -(k[543]*y[28]*y[13] - k[544]*y[56]*y[3]) -(k[551]*y[28]*y[35] - k[552]*y[37]*y[1]) -(k[561]*y[28]*y[58] - k[562]*y[54]*y[1]) -(k[563]*y[28]*y[59] - k[564]*y[54]*y[3]) -(k[607]*y[28]*y[43] - k[608]*y[44]*y[4]) -(k[715]*y[1]*y[28]*M - k[716]*y[33]*M) -(k[717]*y[28]*y[28]*M - k[718]*y[34]*M) -(k[717]*y[28]*y[28]*M - k[718]*y[34]*M) +(k[771]*y[29]*M - k[772]*y[3]*y[28]*M) -(k[773]*y[4]*y[28]*M - k[774]*y[32]*M) +(k[779]*y[67]*M - k[780]*y[28]*M) +(k[845]*y[34] - k[846]*y[28]*y[28]) +(k[845]*y[34] - k[846]*y[28]*y[28]) +(k[853]*y[32] - k[854]*y[28]*y[4]) )
+ df_list.append( +(k[217]*y[28]*y[5] - k[218]*y[29]*y[6]) +(k[221]*y[28]*y[7] - k[222]*y[29]*y[5]) -(k[229]*y[3]*y[29] - k[230]*y[1]*y[28]) +(k[231]*y[3]*y[33] - k[232]*y[1]*y[29]) -(k[237]*y[8]*y[29] - k[238]*y[9]*y[28]) +(k[239]*y[8]*y[33] - k[240]*y[9]*y[29]) +(k[247]*y[33]*y[12] - k[248]*y[29]*y[11]) -(k[257]*y[4]*y[29] - k[258]*y[0]*y[28]) -(k[259]*y[4]*y[29] - k[260]*y[32]*y[3]) -(k[263]*y[0]*y[29] - k[264]*y[2]*y[28]) -(k[271]*y[0]*y[29] - k[272]*y[4]*y[33]) +(k[273]*y[33]*y[0] - k[274]*y[2]*y[29]) -(k[281]*y[28]*y[29] - k[282]*y[34]*y[3]) +(k[285]*y[34]*y[7] - k[286]*y[29]*y[31]) +(k[291]*y[32]*y[5] - k[292]*y[17]*y[29]) -(k[295]*y[32]*y[29] - k[296]*y[34]*y[0]) -(k[301]*y[29]*y[6] - k[302]*y[3]*y[30]) -(k[303]*y[29]*y[29] - k[304]*y[34]*y[1]) -(k[303]*y[29]*y[29] - k[304]*y[34]*y[1]) +(k[313]*y[33]*y[33] - k[314]*y[35]*y[29]) +(k[321]*y[31]*y[4] - k[322]*y[17]*y[29]) -(k[323]*y[29]*y[33] - k[324]*y[36]*y[3]) -(k[357]*y[29]*y[36] - k[358]*y[33]*y[37]) +(k[373]*y[37]*y[4] - k[374]*y[29]*y[32]) -(k[395]*y[29]*y[25] - k[396]*y[32]*y[0]) -(k[397]*y[29]*y[25] - k[398]*y[40]*y[4]) -(k[407]*y[29]*y[32] - k[408]*y[44]*y[3]) -(k[445]*y[29]*y[0] - k[446]*y[40]*y[3]) +(k[469]*y[51]*y[33] - k[470]*y[42]*y[29]) -(k[485]*y[38]*y[29] - k[486]*y[36]*y[33]) -(k[489]*y[29]*y[33] - k[490]*y[35]*y[28]) +(k[493]*y[1]*y[40] - k[494]*y[29]*y[2]) +(k[643]*y[67]*y[1] - k[644]*y[29]*y[3]) +(k[645]*y[67]*y[2] - k[646]*y[29]*y[0]) +(k[647]*y[67]*y[35] - k[648]*y[29]*y[33]) +(k[723]*y[42]*M - k[724]*y[17]*y[29]*M) -(k[771]*y[29]*M - k[772]*y[3]*y[28]*M) +(k[849]*y[35] - k[850]*y[29]*y[3]*y[3]) +(k[859]*y[42] - k[860]*y[29]*y[17]) )
+ df_list.append( +(k[219]*y[28]*y[5] - k[220]*y[30]*y[3]) +(k[225]*y[28]*y[10] - k[226]*y[30]*y[6]) -(k[233]*y[1]*y[30] - k[234]*y[3]*y[31]) -(k[235]*y[7]*y[30] - k[236]*y[5]*y[31]) -(k[241]*y[8]*y[30] - k[242]*y[7]*y[31]) -(k[243]*y[9]*y[30] - k[244]*y[31]*y[8]) +(k[245]*y[10]*y[34] - k[246]*y[30]*y[30]) +(k[245]*y[10]*y[34] - k[246]*y[30]*y[30]) -(k[265]*y[0]*y[30] - k[266]*y[4]*y[31]) +(k[267]*y[0]*y[31] - k[268]*y[2]*y[30]) -(k[275]*y[30]*y[4] - k[276]*y[28]*y[17]) -(k[283]*y[28]*y[30] - k[284]*y[34]*y[6]) +(k[287]*y[32]*y[6] - k[288]*y[4]*y[30]) -(k[299]*y[32]*y[30] - k[300]*y[34]*y[17]) +(k[301]*y[29]*y[6] - k[302]*y[3]*y[30]) -(k[317]*y[35]*y[30] - k[318]*y[31]*y[33]) -(k[319]*y[30]*y[16] - k[320]*y[15]*y[31]) +(k[467]*y[51]*y[31] - k[468]*y[42]*y[30]) -(k[473]*y[30]*y[18] - k[474]*y[17]*y[51]) -(k[477]*y[30]*y[0] - k[478]*y[51]*y[3]) -(k[523]*y[30]*y[11] - k[524]*y[54]*y[3]) -(k[535]*y[30]*y[14] - k[536]*y[57]*y[3]) -(k[611]*y[8]*y[30] - k[612]*y[56]*y[3]) -(k[713]*y[3]*y[30]*M - k[714]*y[31]*M) +(k[851]*y[31] - k[852]*y[3]*y[30]) )
+ df_list.append( +(k[223]*y[28]*y[7] - k[224]*y[31]*y[3]) +(k[233]*y[1]*y[30] - k[234]*y[3]*y[31]) +(k[235]*y[7]*y[30] - k[236]*y[5]*y[31]) +(k[241]*y[8]*y[30] - k[242]*y[7]*y[31]) +(k[243]*y[9]*y[30] - k[244]*y[31]*y[8]) +(k[265]*y[0]*y[30] - k[266]*y[4]*y[31]) -(k[267]*y[0]*y[31] - k[268]*y[2]*y[30]) -(k[269]*y[0]*y[31] - k[270]*y[33]*y[17]) +(k[285]*y[34]*y[7] - k[286]*y[29]*y[31]) +(k[289]*y[32]*y[5] - k[290]*y[4]*y[31]) +(k[293]*y[32]*y[8] - k[294]*y[31]*y[2]) +(k[317]*y[35]*y[30] - k[318]*y[31]*y[33]) +(k[319]*y[30]*y[16] - k[320]*y[15]*y[31]) -(k[321]*y[31]*y[4] - k[322]*y[17]*y[29]) +(k[359]*y[41]*y[0] - k[360]*y[31]*y[2]) -(k[365]*y[31]*y[0] - k[366]*y[42]*y[3]) +(k[369]*y[8]*y[28] - k[370]*y[31]*y[1]) -(k[467]*y[51]*y[31] - k[468]*y[42]*y[30]) -(k[475]*y[31]*y[4] - k[476]*y[51]*y[3]) +(k[487]*y[33]*y[41] - k[488]*y[35]*y[31]) +(k[521]*y[41]*y[3] - k[522]*y[31]*y[1]) -(k[525]*y[31]*y[12] - k[526]*y[54]*y[3]) +(k[527]*y[3]*y[55] - k[528]*y[31]*y[8]) -(k[537]*y[31]*y[13] - k[538]*y[57]*y[3]) +(k[539]*y[57]*y[10] - k[540]*y[31]*y[45]) +(k[545]*y[56]*y[4] - k[546]*y[31]*y[21]) +(k[713]*y[3]*y[30]*M - k[714]*y[31]*M) -(k[721]*y[31]*y[3]*M - k[722]*y[41]*M) -(k[851]*y[31] - k[852]*y[3]*y[30]) )
+ df_list.append( +(k[227]*y[28]*y[0] - k[228]*y[32]*y[3]) +(k[259]*y[4]*y[29] - k[260]*y[32]*y[3]) +(k[277]*y[28]*y[18] - k[278]*y[17]*y[32]) -(k[279]*y[28]*y[32] - k[280]*y[34]*y[4]) -(k[287]*y[32]*y[6] - k[288]*y[4]*y[30]) -(k[289]*y[32]*y[5] - k[290]*y[4]*y[31]) -(k[291]*y[32]*y[5] - k[292]*y[17]*y[29]) -(k[293]*y[32]*y[8] - k[294]*y[31]*y[2]) -(k[295]*y[32]*y[29] - k[296]*y[34]*y[0]) -(k[297]*y[32]*y[33] - k[298]*y[34]*y[2]) -(k[299]*y[32]*y[30] - k[300]*y[34]*y[17]) +(k[309]*y[33]*y[4] - k[310]*y[1]*y[32]) -(k[351]*y[33]*y[32] - k[352]*y[37]*y[0]) -(k[353]*y[37]*y[32] - k[354]*y[34]*y[40]) -(k[361]*y[32]*y[7] - k[362]*y[42]*y[3]) +(k[373]*y[37]*y[4] - k[374]*y[29]*y[32]) -(k[377]*y[32]*y[8] - k[378]*y[41]*y[0]) +(k[393]*y[28]*y[25] - k[394]*y[32]*y[4]) +(k[395]*y[29]*y[25] - k[396]*y[32]*y[0]) +(k[401]*y[43]*y[4] - k[402]*y[32]*y[25]) -(k[407]*y[29]*y[32] - k[408]*y[44]*y[3]) +(k[413]*y[43]*y[8] - k[414]*y[32]*y[22]) +(k[447]*y[40]*y[0] - k[448]*y[32]*y[2]) +(k[449]*y[40]*y[4] - k[450]*y[32]*y[0]) +(k[451]*y[40]*y[3] - k[452]*y[32]*y[1]) -(k[453]*y[32]*y[22] - k[454]*y[40]*y[20]) -(k[455]*y[32]*y[21] - k[456]*y[40]*y[17]) +(k[463]*y[50]*y[3] - k[464]*y[32]*y[2]) +(k[465]*y[33]*y[40] - k[466]*y[32]*y[35]) -(k[603]*y[52]*y[32] - k[604]*y[0]*y[43]) +(k[629]*y[65]*y[43] - k[630]*y[25]*y[32]) +(k[649]*y[67]*y[25] - k[650]*y[32]*y[4]) +(k[651]*y[67]*y[44] - k[652]*y[34]*y[32]) -(k[727]*y[32]*y[4]*M - k[728]*y[43]*M) -(k[735]*y[3]*y[32]*M - k[736]*y[40]*M) -(k[737]*y[32]*y[0]*M - k[738]*y[50]*M) +(k[773]*y[4]*y[28]*M - k[774]*y[32]*M) -(k[853]*y[32] - k[854]*y[28]*y[4]) +(k[855]*y[43] - k[856]*y[32]*y[4]) +(k[877]*y[50] - k[878]*y[32]*y[0]) )
+ df_list.append( -(k[231]*y[3]*y[33] - k[232]*y[1]*y[29]) -(k[239]*y[8]*y[33] - k[240]*y[9]*y[29]) -(k[247]*y[33]*y[12] - k[248]*y[29]*y[11]) -(k[249]*y[33]*y[13] - k[250]*y[35]*y[11]) -(k[251]*y[33]*y[14] - k[252]*y[35]*y[13]) -(k[253]*y[33]*y[15] - k[254]*y[35]*y[14]) -(k[255]*y[33]*y[16] - k[256]*y[35]*y[15]) +(k[261]*y[4]*y[35] - k[262]*y[0]*y[33]) +(k[269]*y[0]*y[31] - k[270]*y[33]*y[17]) +(k[271]*y[0]*y[29] - k[272]*y[4]*y[33]) -(k[273]*y[33]*y[0] - k[274]*y[2]*y[29]) -(k[297]*y[32]*y[33] - k[298]*y[34]*y[2]) -(k[305]*y[33]*y[1] - k[306]*y[35]*y[3]) -(k[307]*y[33]*y[9] - k[308]*y[8]*y[35]) -(k[309]*y[33]*y[4] - k[310]*y[1]*y[32]) +(k[311]*y[35]*y[0] - k[312]*y[33]*y[2]) -(k[313]*y[33]*y[33] - k[314]*y[35]*y[29]) -(k[313]*y[33]*y[33] - k[314]*y[35]*y[29]) +(k[315]*y[35]*y[5] - k[316]*y[33]*y[7]) +(k[317]*y[35]*y[30] - k[318]*y[31]*y[33]) -(k[323]*y[29]*y[33] - k[324]*y[36]*y[3]) -(k[325]*y[33]*y[36] - k[326]*y[35]*y[37]) -(k[327]*y[33]*y[38] - k[328]*y[35]*y[36]) -(k[349]*y[37]*y[33] - k[350]*y[34]*y[35]) -(k[351]*y[33]*y[32] - k[352]*y[37]*y[0]) +(k[357]*y[29]*y[36] - k[358]*y[33]*y[37]) +(k[363]*y[42]*y[3] - k[364]*y[17]*y[33]) -(k[371]*y[8]*y[33] - k[372]*y[35]*y[7]) -(k[375]*y[33]*y[33] - k[376]*y[36]*y[1]) -(k[375]*y[33]*y[33] - k[376]*y[36]*y[1]) -(k[399]*y[25]*y[33] - k[400]*y[40]*y[0]) -(k[409]*y[33]*y[43] - k[410]*y[44]*y[2]) -(k[415]*y[39]*y[33] - k[416]*y[38]*y[35]) -(k[421]*y[48]*y[33] - k[422]*y[46]*y[35]) +(k[423]*y[46]*y[8] - k[424]*y[33]*y[15]) +(k[425]*y[46]*y[0] - k[426]*y[19]*y[33]) -(k[431]*y[8]*y[33] - k[432]*y[47]*y[1]) -(k[433]*y[8]*y[33] - k[434]*y[46]*y[3]) +(k[437]*y[38]*y[3] - k[438]*y[33]*y[33]) +(k[437]*y[38]*y[3] - k[438]*y[33]*y[33]) -(k[465]*y[33]*y[40] - k[466]*y[32]*y[35]) -(k[469]*y[51]*y[33] - k[470]*y[42]*y[29]) +(k[485]*y[38]*y[29] - k[486]*y[36]*y[33]) -(k[487]*y[33]*y[41] - k[488]*y[35]*y[31]) -(k[489]*y[29]*y[33] - k[490]*y[35]*y[28]) -(k[491]*y[33]*y[4] - k[492]*y[40]*y[3]) -(k[549]*y[52]*y[33] - k[550]*y[35]*y[25]) -(k[575]*y[35]*y[33] - k[576]*y[38]*y[1]) +(k[625]*y[65]*y[35] - k[626]*y[0]*y[33]) +(k[647]*y[67]*y[35] - k[648]*y[29]*y[33]) -(k[711]*y[3]*y[33]*M - k[712]*y[35]*M) +(k[715]*y[1]*y[28]*M - k[716]*y[33]*M) -(k[725]*y[33]*y[33]*M - k[726]*y[39]*M) -(k[725]*y[33]*y[33]*M - k[726]*y[39]*M) -(k[733]*y[33]*y[8]*M - k[734]*y[48]*M) +(k[847]*y[35] - k[848]*y[33]*y[3]) )
+ df_list.append( -(k[245]*y[10]*y[34] - k[246]*y[30]*y[30]) +(k[279]*y[28]*y[32] - k[280]*y[34]*y[4]) +(k[281]*y[28]*y[29] - k[282]*y[34]*y[3]) +(k[283]*y[28]*y[30] - k[284]*y[34]*y[6]) -(k[285]*y[34]*y[7] - k[286]*y[29]*y[31]) +(k[295]*y[32]*y[29] - k[296]*y[34]*y[0]) +(k[297]*y[32]*y[33] - k[298]*y[34]*y[2]) +(k[299]*y[32]*y[30] - k[300]*y[34]*y[17]) +(k[303]*y[29]*y[29] - k[304]*y[34]*y[1]) +(k[343]*y[37]*y[3] - k[344]*y[34]*y[1]) +(k[345]*y[37]*y[0] - k[346]*y[34]*y[2]) +(k[347]*y[37]*y[4] - k[348]*y[34]*y[0]) +(k[349]*y[37]*y[33] - k[350]*y[34]*y[35]) +(k[353]*y[37]*y[32] - k[354]*y[34]*y[40]) +(k[403]*y[44]*y[4] - k[404]*y[34]*y[25]) +(k[405]*y[44]*y[3] - k[406]*y[34]*y[0]) -(k[631]*y[65]*y[34] - k[632]*y[4]*y[34]) +(k[631]*y[65]*y[34] - k[632]*y[4]*y[34]) +(k[651]*y[67]*y[44] - k[652]*y[34]*y[32]) +(k[717]*y[28]*y[28]*M - k[718]*y[34]*M) +(k[729]*y[44]*M - k[730]*y[34]*y[4]*M) +(k[731]*y[37]*M - k[732]*y[34]*y[3]*M) -(k[845]*y[34] - k[846]*y[28]*y[28]) )
+ df_list.append( +(k[249]*y[33]*y[13] - k[250]*y[35]*y[11]) +(k[251]*y[33]*y[14] - k[252]*y[35]*y[13]) +(k[253]*y[33]*y[15] - k[254]*y[35]*y[14]) +(k[255]*y[33]*y[16] - k[256]*y[35]*y[15]) -(k[261]*y[4]*y[35] - k[262]*y[0]*y[33]) +(k[305]*y[33]*y[1] - k[306]*y[35]*y[3]) +(k[307]*y[33]*y[9] - k[308]*y[8]*y[35]) -(k[311]*y[35]*y[0] - k[312]*y[33]*y[2]) +(k[313]*y[33]*y[33] - k[314]*y[35]*y[29]) -(k[315]*y[35]*y[5] - k[316]*y[33]*y[7]) -(k[317]*y[35]*y[30] - k[318]*y[31]*y[33]) +(k[325]*y[33]*y[36] - k[326]*y[35]*y[37]) +(k[327]*y[33]*y[38] - k[328]*y[35]*y[36]) +(k[349]*y[37]*y[33] - k[350]*y[34]*y[35]) +(k[371]*y[8]*y[33] - k[372]*y[35]*y[7]) +(k[415]*y[39]*y[33] - k[416]*y[38]*y[35]) +(k[421]*y[48]*y[33] - k[422]*y[46]*y[35]) +(k[465]*y[33]*y[40] - k[466]*y[32]*y[35]) +(k[487]*y[33]*y[41] - k[488]*y[35]*y[31]) +(k[489]*y[29]*y[33] - k[490]*y[35]*y[28]) +(k[549]*y[52]*y[33] - k[550]*y[35]*y[25]) -(k[551]*y[28]*y[35] - k[552]*y[37]*y[1]) -(k[575]*y[35]*y[33] - k[576]*y[38]*y[1]) -(k[625]*y[65]*y[35] - k[626]*y[0]*y[33]) -(k[647]*y[67]*y[35] - k[648]*y[29]*y[33]) +(k[711]*y[3]*y[33]*M - k[712]*y[35]*M) -(k[847]*y[35] - k[848]*y[33]*y[3]) -(k[849]*y[35] - k[850]*y[29]*y[3]*y[3]) )
+ df_list.append( +(k[323]*y[29]*y[33] - k[324]*y[36]*y[3]) -(k[325]*y[33]*y[36] - k[326]*y[35]*y[37]) +(k[327]*y[33]*y[38] - k[328]*y[35]*y[36]) -(k[329]*y[36]*y[3] - k[330]*y[37]*y[1]) -(k[331]*y[36]*y[8] - k[332]*y[37]*y[9]) -(k[333]*y[36]*y[0] - k[334]*y[37]*y[2]) +(k[335]*y[38]*y[3] - k[336]*y[36]*y[1]) +(k[337]*y[38]*y[4] - k[338]*y[36]*y[0]) +(k[339]*y[38]*y[0] - k[340]*y[36]*y[2]) +(k[341]*y[38]*y[38] - k[342]*y[39]*y[36]) -(k[355]*y[36]*y[4] - k[356]*y[37]*y[0]) -(k[357]*y[29]*y[36] - k[358]*y[33]*y[37]) +(k[375]*y[33]*y[33] - k[376]*y[36]*y[1]) +(k[485]*y[38]*y[29] - k[486]*y[36]*y[33]) +(k[577]*y[38]*y[37] - k[578]*y[36]*y[36]) +(k[577]*y[38]*y[37] - k[578]*y[36]*y[36]) +(k[579]*y[38]*y[8] - k[580]*y[36]*y[9]) +(k[719]*y[38]*M - k[720]*y[36]*y[3]*M) -(k[753]*y[36]*M - k[754]*y[37]*y[3]*M) )
+ df_list.append( +(k[325]*y[33]*y[36] - k[326]*y[35]*y[37]) +(k[329]*y[36]*y[3] - k[330]*y[37]*y[1]) +(k[331]*y[36]*y[8] - k[332]*y[37]*y[9]) +(k[333]*y[36]*y[0] - k[334]*y[37]*y[2]) -(k[343]*y[37]*y[3] - k[344]*y[34]*y[1]) -(k[345]*y[37]*y[0] - k[346]*y[34]*y[2]) -(k[347]*y[37]*y[4] - k[348]*y[34]*y[0]) -(k[349]*y[37]*y[33] - k[350]*y[34]*y[35]) +(k[351]*y[33]*y[32] - k[352]*y[37]*y[0]) -(k[353]*y[37]*y[32] - k[354]*y[34]*y[40]) +(k[355]*y[36]*y[4] - k[356]*y[37]*y[0]) +(k[357]*y[29]*y[36] - k[358]*y[33]*y[37]) -(k[373]*y[37]*y[4] - k[374]*y[29]*y[32]) +(k[551]*y[28]*y[35] - k[552]*y[37]*y[1]) -(k[577]*y[38]*y[37] - k[578]*y[36]*y[36]) -(k[731]*y[37]*M - k[732]*y[34]*y[3]*M) +(k[753]*y[36]*M - k[754]*y[37]*y[3]*M) )
+ df_list.append( -(k[327]*y[33]*y[38] - k[328]*y[35]*y[36]) -(k[335]*y[38]*y[3] - k[336]*y[36]*y[1]) -(k[337]*y[38]*y[4] - k[338]*y[36]*y[0]) -(k[339]*y[38]*y[0] - k[340]*y[36]*y[2]) -(k[341]*y[38]*y[38] - k[342]*y[39]*y[36]) -(k[341]*y[38]*y[38] - k[342]*y[39]*y[36]) +(k[379]*y[39]*y[3] - k[380]*y[38]*y[1]) +(k[415]*y[39]*y[33] - k[416]*y[38]*y[35]) -(k[437]*y[38]*y[3] - k[438]*y[33]*y[33]) -(k[485]*y[38]*y[29] - k[486]*y[36]*y[33]) +(k[575]*y[35]*y[33] - k[576]*y[38]*y[1]) -(k[577]*y[38]*y[37] - k[578]*y[36]*y[36]) -(k[579]*y[38]*y[8] - k[580]*y[36]*y[9]) -(k[719]*y[38]*M - k[720]*y[36]*y[3]*M) +(k[857]*y[39] - k[858]*y[38]*y[3]) )
+ df_list.append( +(k[341]*y[38]*y[38] - k[342]*y[39]*y[36]) -(k[379]*y[39]*y[3] - k[380]*y[38]*y[1]) -(k[415]*y[39]*y[33] - k[416]*y[38]*y[35]) +(k[725]*y[33]*y[33]*M - k[726]*y[39]*M) -(k[857]*y[39] - k[858]*y[38]*y[3]) )
+ df_list.append( +(k[353]*y[37]*y[32] - k[354]*y[34]*y[40]) +(k[397]*y[29]*y[25] - k[398]*y[40]*y[4]) +(k[399]*y[25]*y[33] - k[400]*y[40]*y[0]) -(k[411]*y[40]*y[40] - k[412]*y[44]*y[2]) -(k[411]*y[40]*y[40] - k[412]*y[44]*y[2]) +(k[445]*y[29]*y[0] - k[446]*y[40]*y[3]) -(k[447]*y[40]*y[0] - k[448]*y[32]*y[2]) -(k[449]*y[40]*y[4] - k[450]*y[32]*y[0]) -(k[451]*y[40]*y[3] - k[452]*y[32]*y[1]) +(k[453]*y[32]*y[22] - k[454]*y[40]*y[20]) +(k[455]*y[32]*y[21] - k[456]*y[40]*y[17]) +(k[459]*y[50]*y[3] - k[460]*y[40]*y[0]) -(k[465]*y[33]*y[40] - k[466]*y[32]*y[35]) +(k[491]*y[33]*y[4] - k[492]*y[40]*y[3]) -(k[493]*y[1]*y[40] - k[494]*y[29]*y[2]) +(k[735]*y[3]*y[32]*M - k[736]*y[40]*M) )
+ df_list.append( -(k[359]*y[41]*y[0] - k[360]*y[31]*y[2]) +(k[367]*y[8]*y[28] - k[368]*y[41]*y[3]) +(k[377]*y[32]*y[8] - k[378]*y[41]*y[0]) +(k[429]*y[47]*y[3] - k[430]*y[41]*y[1]) -(k[487]*y[33]*y[41] - k[488]*y[35]*y[31]) -(k[521]*y[41]*y[3] - k[522]*y[31]*y[1]) +(k[721]*y[31]*y[3]*M - k[722]*y[41]*M) )
+ df_list.append( +(k[361]*y[32]*y[7] - k[362]*y[42]*y[3]) -(k[363]*y[42]*y[3] - k[364]*y[17]*y[33]) +(k[365]*y[31]*y[0] - k[366]*y[42]*y[3]) +(k[467]*y[51]*y[31] - k[468]*y[42]*y[30]) +(k[469]*y[51]*y[33] - k[470]*y[42]*y[29]) +(k[471]*y[51]*y[21] - k[472]*y[42]*y[17]) -(k[479]*y[42]*y[3] - k[480]*y[51]*y[1]) -(k[481]*y[42]*y[4] - k[482]*y[51]*y[0]) -(k[483]*y[42]*y[0] - k[484]*y[51]*y[2]) -(k[723]*y[42]*M - k[724]*y[17]*y[29]*M) -(k[777]*y[42]*M - k[778]*y[3]*y[51]) -(k[859]*y[42] - k[860]*y[29]*y[17]) -(k[861]*y[42] - k[862]*y[3]*y[51]) )
+ df_list.append( -(k[401]*y[43]*y[4] - k[402]*y[32]*y[25]) -(k[409]*y[33]*y[43] - k[410]*y[44]*y[2]) -(k[413]*y[43]*y[8] - k[414]*y[32]*y[22]) +(k[457]*y[50]*y[0] - k[458]*y[43]*y[2]) +(k[461]*y[50]*y[3] - k[462]*y[43]*y[1]) +(k[603]*y[52]*y[32] - k[604]*y[0]*y[43]) -(k[607]*y[28]*y[43] - k[608]*y[44]*y[4]) -(k[629]*y[65]*y[43] - k[630]*y[25]*y[32]) +(k[727]*y[32]*y[4]*M - k[728]*y[43]*M) -(k[855]*y[43] - k[856]*y[32]*y[4]) )
+ df_list.append( -(k[403]*y[44]*y[4] - k[404]*y[34]*y[25]) -(k[405]*y[44]*y[3] - k[406]*y[34]*y[0]) +(k[407]*y[29]*y[32] - k[408]*y[44]*y[3]) +(k[409]*y[33]*y[43] - k[410]*y[44]*y[2]) +(k[411]*y[40]*y[40] - k[412]*y[44]*y[2]) +(k[607]*y[28]*y[43] - k[608]*y[44]*y[4]) -(k[651]*y[67]*y[44] - k[652]*y[34]*y[32]) -(k[729]*y[44]*M - k[730]*y[34]*y[4]*M) )
+ df_list.append( +(k[417]*y[12]*y[11] - k[418]*y[45]*y[3]) +(k[539]*y[57]*y[10] - k[540]*y[31]*y[45]) -(k[761]*y[45]*y[3]*M - k[762]*y[61]*M) -(k[869]*y[45] - k[870]*y[11]*y[10]) )
+ df_list.append( -(k[419]*y[46]*y[3] - k[420]*y[47]*y[1]) +(k[421]*y[48]*y[33] - k[422]*y[46]*y[35]) -(k[423]*y[46]*y[8] - k[424]*y[33]*y[15]) -(k[425]*y[46]*y[0] - k[426]*y[19]*y[33]) +(k[427]*y[48]*y[3] - k[428]*y[46]*y[1]) +(k[433]*y[8]*y[33] - k[434]*y[46]*y[3]) +(k[435]*y[48]*y[8] - k[436]*y[46]*y[9]) )
+ df_list.append( +(k[419]*y[46]*y[3] - k[420]*y[47]*y[1]) -(k[429]*y[47]*y[3] - k[430]*y[41]*y[1]) +(k[431]*y[8]*y[33] - k[432]*y[47]*y[1]) )
+ df_list.append( -(k[421]*y[48]*y[33] - k[422]*y[46]*y[35]) -(k[427]*y[48]*y[3] - k[428]*y[46]*y[1]) -(k[435]*y[48]*y[8] - k[436]*y[46]*y[9]) +(k[733]*y[33]*y[8]*M - k[734]*y[48]*M) )
+ df_list.append( +(k[441]*y[4]*y[15] - k[442]*y[49]*y[3]) -(k[443]*y[49]*y[3] - k[444]*y[1]*y[24]) -(k[841]*y[49] - k[842]*y[9]*y[17]) -(k[843]*y[49] - k[844]*y[8]*y[21]) )
+ df_list.append( -(k[457]*y[50]*y[0] - k[458]*y[43]*y[2]) -(k[459]*y[50]*y[3] - k[460]*y[40]*y[0]) -(k[461]*y[50]*y[3] - k[462]*y[43]*y[1]) -(k[463]*y[50]*y[3] - k[464]*y[32]*y[2]) +(k[737]*y[32]*y[0]*M - k[738]*y[50]*M) -(k[877]*y[50] - k[878]*y[32]*y[0]) )
+ df_list.append( -(k[467]*y[51]*y[31] - k[468]*y[42]*y[30]) -(k[469]*y[51]*y[33] - k[470]*y[42]*y[29]) -(k[471]*y[51]*y[21] - k[472]*y[42]*y[17]) +(k[473]*y[30]*y[18] - k[474]*y[17]*y[51]) +(k[475]*y[31]*y[4] - k[476]*y[51]*y[3]) +(k[477]*y[30]*y[0] - k[478]*y[51]*y[3]) +(k[479]*y[42]*y[3] - k[480]*y[51]*y[1]) +(k[481]*y[42]*y[4] - k[482]*y[51]*y[0]) +(k[483]*y[42]*y[0] - k[484]*y[51]*y[2]) +(k[777]*y[42]*M - k[778]*y[3]*y[51]) +(k[861]*y[42] - k[862]*y[3]*y[51]) )
+ df_list.append( -(k[495]*y[52]*y[3] - k[496]*y[0]*y[0]) -(k[497]*y[52]*y[3] - k[498]*y[4]*y[2]) -(k[499]*y[52]*y[3] - k[500]*y[25]*y[1]) -(k[501]*y[17]*y[52] - k[502]*y[18]*y[0]) +(k[503]*y[4]*y[53] - k[504]*y[0]*y[52]) +(k[505]*y[0]*y[53] - k[506]*y[2]*y[52]) +(k[507]*y[53]*y[3] - k[508]*y[1]*y[52]) -(k[511]*y[4]*y[52] - k[512]*y[0]*y[25]) -(k[513]*y[8]*y[52] - k[514]*y[9]*y[25]) -(k[515]*y[15]*y[52] - k[516]*y[16]*y[25]) +(k[517]*y[21]*y[25] - k[518]*y[17]*y[52]) -(k[519]*y[0]*y[52] - k[520]*y[2]*y[25]) -(k[547]*y[52]*y[9] - k[548]*y[8]*y[53]) -(k[549]*y[52]*y[33] - k[550]*y[35]*y[25]) -(k[603]*y[52]*y[32] - k[604]*y[0]*y[43]) +(k[605]*y[25]*y[20] - k[606]*y[52]*y[21]) +(k[609]*y[22]*y[25] - k[610]*y[20]*y[52]) -(k[613]*y[52]*y[52] - k[614]*y[53]*y[25]) -(k[613]*y[52]*y[52] - k[614]*y[53]*y[25]) -(k[741]*y[52]*y[52]*M - k[742]*y[53]*y[25]*M) -(k[741]*y[52]*y[52]*M - k[742]*y[53]*y[25]*M) +(k[745]*y[3]*y[25]*M - k[746]*y[52]*M) -(k[863]*y[52] - k[864]*y[4]*y[0]) )
+ df_list.append( -(k[503]*y[4]*y[53] - k[504]*y[0]*y[52]) -(k[505]*y[0]*y[53] - k[506]*y[2]*y[52]) -(k[507]*y[53]*y[3] - k[508]*y[1]*y[52]) -(k[509]*y[53]*y[3] - k[510]*y[0]*y[2]) +(k[547]*y[52]*y[9] - k[548]*y[8]*y[53]) +(k[613]*y[52]*y[52] - k[614]*y[53]*y[25]) +(k[741]*y[52]*y[52]*M - k[742]*y[53]*y[25]*M) +(k[743]*y[0]*y[0]*M - k[744]*y[53]*M) )
+ df_list.append( +(k[523]*y[30]*y[11] - k[524]*y[54]*y[3]) +(k[525]*y[31]*y[12] - k[526]*y[54]*y[3]) +(k[541]*y[57]*y[10] - k[542]*y[54]*y[11]) +(k[561]*y[28]*y[58] - k[562]*y[54]*y[1]) +(k[563]*y[28]*y[59] - k[564]*y[54]*y[3]) )
+ df_list.append( -(k[527]*y[3]*y[55] - k[528]*y[31]*y[8]) -(k[529]*y[3]*y[55] - k[530]*y[56]*y[1]) -(k[531]*y[55]*y[0] - k[532]*y[56]*y[2]) -(k[533]*y[55]*y[4] - k[534]*y[56]*y[0]) +(k[747]*y[56]*y[3]*M - k[748]*y[55]*M) )
+ df_list.append( +(k[529]*y[3]*y[55] - k[530]*y[56]*y[1]) +(k[531]*y[55]*y[0] - k[532]*y[56]*y[2]) +(k[533]*y[55]*y[4] - k[534]*y[56]*y[0]) +(k[543]*y[28]*y[13] - k[544]*y[56]*y[3]) -(k[545]*y[56]*y[4] - k[546]*y[31]*y[21]) +(k[611]*y[8]*y[30] - k[612]*y[56]*y[3]) -(k[747]*y[56]*y[3]*M - k[748]*y[55]*M) )
+ df_list.append( +(k[535]*y[30]*y[14] - k[536]*y[57]*y[3]) +(k[537]*y[31]*y[13] - k[538]*y[57]*y[3]) -(k[539]*y[57]*y[10] - k[540]*y[31]*y[45]) -(k[541]*y[57]*y[10] - k[542]*y[54]*y[11]) )
+ df_list.append( +(k[553]*y[12]*y[15] - k[554]*y[58]*y[8]) +(k[555]*y[13]*y[13] - k[556]*y[8]*y[58]) -(k[557]*y[58]*y[0] - k[558]*y[21]*y[13]) +(k[559]*y[19]*y[12] - k[560]*y[0]*y[58]) -(k[561]*y[28]*y[58] - k[562]*y[54]*y[1]) +(k[567]*y[7]*y[11] - k[568]*y[58]*y[3]) +(k[573]*y[8]*y[12] - k[574]*y[58]*y[3]) -(k[583]*y[5]*y[58] - k[584]*y[61]*y[3]) +(k[641]*y[66]*y[11] - k[642]*y[58]*y[3]) +(k[749]*y[59]*y[3]*M - k[750]*y[58]*M) -(k[751]*y[58]*y[58]*M - k[752]*y[63]*M) -(k[751]*y[58]*y[58]*M - k[752]*y[63]*M) -(k[755]*y[58]*y[3]*M - k[756]*y[60]*M) +(k[875]*y[63] - k[876]*y[58]*y[58]) +(k[875]*y[63] - k[876]*y[58]*y[58]) )
+ df_list.append( -(k[563]*y[28]*y[59] - k[564]*y[54]*y[3]) +(k[565]*y[7]*y[11] - k[566]*y[59]*y[1]) +(k[569]*y[7]*y[12] - k[570]*y[59]*y[3]) +(k[571]*y[5]*y[11] - k[572]*y[59]*y[3]) +(k[593]*y[6]*y[11] - k[594]*y[59]) -(k[749]*y[59]*y[3]*M - k[750]*y[58]*M) )
+ df_list.append( +(k[581]*y[8]*y[11] - k[582]*y[60]*y[3]) +(k[755]*y[58]*y[3]*M - k[756]*y[60]*M) +(k[757]*y[7]*y[11]*M - k[758]*y[60]*M) )
+ df_list.append( +(k[583]*y[5]*y[58] - k[584]*y[61]*y[3]) +(k[761]*y[45]*y[3]*M - k[762]*y[61]*M) -(k[763]*y[11]*y[61]*M - k[764]*y[64]*M) )
+ df_list.append( +(k[585]*y[12]*y[15] - k[586]*y[62]*y[3]) -(k[587]*y[11]*y[62] - k[588]*y[63]*y[3]) +(k[765]*y[11]*y[13]*M - k[766]*y[62]*M) )
+ df_list.append( +(k[587]*y[11]*y[62] - k[588]*y[63]*y[3]) +(k[589]*y[64]*y[1] - k[590]*y[63]*y[3]) +(k[591]*y[64]*y[9] - k[592]*y[63]*y[8]) +(k[751]*y[58]*y[58]*M - k[752]*y[63]*M) +(k[759]*y[64]*y[3]*M - k[760]*y[63]*M) -(k[873]*y[63] - k[874]*y[64]*y[3]) -(k[875]*y[63] - k[876]*y[58]*y[58]) )
+ df_list.append( -(k[589]*y[64]*y[1] - k[590]*y[63]*y[3]) -(k[591]*y[64]*y[9] - k[592]*y[63]*y[8]) -(k[759]*y[64]*y[3]*M - k[760]*y[63]*M) +(k[763]*y[11]*y[61]*M - k[764]*y[64]*M) +(k[873]*y[63] - k[874]*y[64]*y[3]) )
+ df_list.append( -(k[615]*y[65]*y[16] - k[616]*y[15]*y[0]) -(k[617]*y[65]*y[1] - k[618]*y[0]*y[3]) -(k[619]*y[65]*y[9] - k[620]*y[0]*y[8]) -(k[621]*y[65]*y[2] - k[622]*y[0]*y[0]) -(k[623]*y[65]*y[18] - k[624]*y[4]*y[18]) -(k[625]*y[65]*y[35] - k[626]*y[0]*y[33]) -(k[627]*y[65]*y[17] - k[628]*y[18]) -(k[629]*y[65]*y[43] - k[630]*y[25]*y[32]) -(k[631]*y[65]*y[34] - k[632]*y[4]*y[34]) +(k[785]*y[2] - k[786]*y[1]*y[65]) +(k[809]*y[18] - k[810]*y[17]*y[65]) +(k[867]*y[25] - k[868]*y[4]*y[65]) )
+ df_list.append( -(k[633]*y[66]*y[1] - k[634]*y[8]*y[3]) -(k[635]*y[66]*y[1] - k[636]*y[7]*y[1]) -(k[637]*y[66]*y[2] - k[638]*y[7]*y[2]) -(k[639]*y[66]*y[17] - k[640]*y[7]*y[17]) -(k[641]*y[66]*y[11] - k[642]*y[58]*y[3]) +(k[653]*y[0]*y[8] - k[654]*y[66]*y[2]) +(k[791]*y[9] - k[792]*y[66]*y[1]) +(k[793]*y[9] - k[794]*y[66]*y[3]*y[3]) +(k[799]*y[8] - k[800]*y[66]*y[3]) +(k[823]*y[16] - k[824]*y[9]*y[66]) )
+ df_list.append( -(k[643]*y[67]*y[1] - k[644]*y[29]*y[3]) -(k[645]*y[67]*y[2] - k[646]*y[29]*y[0]) -(k[647]*y[67]*y[35] - k[648]*y[29]*y[33]) -(k[649]*y[67]*y[25] - k[650]*y[32]*y[4]) -(k[651]*y[67]*y[44] - k[652]*y[34]*y[32]) -(k[779]*y[67]*M - k[780]*y[28]*M) )
+ df_list.append( -(k[655]*y[68] - k[656]*y[68]) +(k[655]*y[68] - k[656]*y[68]) )
return df_list
-#H + H2O -> OH + H2
-v_1 = lambda k, M, H2, OH, H2O, H : k[1]*H*H2O - k[2]*OH*H2
+#OH + H2 -> H2O + H
+v_1 = lambda k, M, OH, H, H2, H2O : k[1]*OH*H2 - k[2]*H2O*H
#O + H2 -> OH + H
@@ -1081,63 +1159,63 @@ def df(y, M, k):
#H + CH -> H2 + C
-v_7 = lambda k, M, C, H2, H, CH : k[7]*H*CH - k[8]*H2*C
+v_7 = lambda k, M, H, CH, H2, C : k[7]*H*CH - k[8]*H2*C
#H + CH2 -> CH + H2
-v_9 = lambda k, M, H2, CH2, H, CH : k[9]*H*CH2 - k[10]*CH*H2
+v_9 = lambda k, M, H, CH, CH2, H2 : k[9]*H*CH2 - k[10]*CH*H2
#CH2 + H2 -> H + CH3
-v_11 = lambda k, M, H2, CH2, CH3, H : k[11]*CH2*H2 - k[12]*H*CH3
+v_11 = lambda k, M, CH3, CH2, H2, H : k[11]*CH2*H2 - k[12]*H*CH3
#H + CH4 -> CH3 + H2
-v_13 = lambda k, M, H2, CH4, CH3, H : k[13]*H*CH4 - k[14]*CH3*H2
+v_13 = lambda k, M, CH3, H, H2, CH4 : k[13]*H*CH4 - k[14]*CH3*H2
#C + CH -> C2 + H
-v_15 = lambda k, M, C, H, C2, CH : k[15]*C*CH - k[16]*C2*H
+v_15 = lambda k, M, CH, C2, H, C : k[15]*C*CH - k[16]*C2*H
#CH3 + C -> H + C2H2
-v_17 = lambda k, M, C, C2H2, CH3, H : k[17]*CH3*C - k[18]*H*C2H2
+v_17 = lambda k, M, CH3, H, C2H2, C : k[17]*CH3*C - k[18]*H*C2H2
#H2 + C2H -> H + C2H2
-v_19 = lambda k, M, C2H2, H2, C2H, H : k[19]*H2*C2H - k[20]*H*C2H2
+v_19 = lambda k, M, C2H, H, C2H2, H2 : k[19]*H2*C2H - k[20]*H*C2H2
#CH + CH2 -> H + C2H2
-v_21 = lambda k, M, C2H2, H, CH2, CH : k[21]*CH*CH2 - k[22]*H*C2H2
+v_21 = lambda k, M, CH, CH2, C2H2, H : k[21]*CH*CH2 - k[22]*H*C2H2
#H + C2H3 -> C2H2 + H2
-v_23 = lambda k, M, C2H2, H2, C2H3, H : k[23]*H*C2H3 - k[24]*C2H2*H2
+v_23 = lambda k, M, H, H2, C2H3, C2H2 : k[23]*H*C2H3 - k[24]*C2H2*H2
#H2 + C2H3 -> H + C2H4
-v_25 = lambda k, M, C2H4, H2, C2H3, H : k[25]*H2*C2H3 - k[26]*H*C2H4
+v_25 = lambda k, M, C2H3, H2, C2H4, H : k[25]*H2*C2H3 - k[26]*H*C2H4
#CH + CH4 -> H + C2H4
-v_27 = lambda k, M, H, CH4, C2H4, CH : k[27]*CH*CH4 - k[28]*H*C2H4
+v_27 = lambda k, M, CH, C2H4, H, CH4 : k[27]*CH*CH4 - k[28]*H*C2H4
#CH2 + CH3 -> H + C2H4
-v_29 = lambda k, M, C2H4, CH2, CH3, H : k[29]*CH2*CH3 - k[30]*H*C2H4
+v_29 = lambda k, M, CH3, CH2, C2H4, H : k[29]*CH2*CH3 - k[30]*H*C2H4
#H + C2H5 -> CH3 + CH3
-v_31 = lambda k, M, C2H5, CH3, H : k[31]*H*C2H5 - k[32]*CH3*CH3
+v_31 = lambda k, M, CH3, H, C2H5 : k[31]*H*C2H5 - k[32]*CH3*CH3
#H + C2H5 -> C2H4 + H2
-v_33 = lambda k, M, C2H5, H2, C2H4, H : k[33]*H*C2H5 - k[34]*C2H4*H2
+v_33 = lambda k, M, H, H2, C2H5, C2H4 : k[33]*H*C2H5 - k[34]*C2H4*H2
#H + C2H6 -> C2H5 + H2
-v_35 = lambda k, M, C2H5, C2H6, H2, H : k[35]*H*C2H6 - k[36]*C2H5*H2
+v_35 = lambda k, M, H, C2H6, C2H5, H2 : k[35]*H*C2H6 - k[36]*C2H5*H2
#OH + CO -> H + CO2
@@ -1145,19 +1223,19 @@ def df(y, M, k):
#CH + CH3 -> H2 + C2H2
-v_39 = lambda k, M, C2H2, H2, CH3, CH : k[39]*CH*CH3 - k[40]*H2*C2H2
+v_39 = lambda k, M, CH3, CH, C2H2, H2 : k[39]*CH*CH3 - k[40]*H2*C2H2
#C2 + O -> C + CO
-v_41 = lambda k, M, C, CO, O, C2 : k[41]*C2*O - k[42]*C*CO
+v_41 = lambda k, M, O, C2, CO, C : k[41]*C2*O - k[42]*C*CO
#CH2 + CH2 -> C2H2 + H + H
-v_43 = lambda k, M, H, CH2, C2H2 : k[43]*CH2*CH2 - k[44]*C2H2*H*H
+v_43 = lambda k, M, CH2, C2H2, H : k[43]*CH2*CH2 - k[44]*C2H2*H*H
#CH2 + CH2 -> CH + CH3
-v_45 = lambda k, M, CH2, CH3, CH : k[45]*CH2*CH2 - k[46]*CH*CH3
+v_45 = lambda k, M, CH3, CH2, CH : k[45]*CH2*CH2 - k[46]*CH*CH3
#CH2 + CH2 -> H + C2H3
@@ -1165,91 +1243,91 @@ def df(y, M, k):
#CH2 + CH4 -> CH3 + CH3
-v_49 = lambda k, M, CH2, CH3, CH4 : k[49]*CH2*CH4 - k[50]*CH3*CH3
+v_49 = lambda k, M, CH3, CH2, CH4 : k[49]*CH2*CH4 - k[50]*CH3*CH3
#CH2 + C2H5 -> CH3 + C2H4
-v_51 = lambda k, M, C2H5, C2H4, CH2, CH3 : k[51]*CH2*C2H5 - k[52]*CH3*C2H4
+v_51 = lambda k, M, CH3, CH2, C2H5, C2H4 : k[51]*CH2*C2H5 - k[52]*CH3*C2H4
#CH3 + OH -> CH2 + H2O
-v_53 = lambda k, M, OH, CH2, CH3, H2O : k[53]*CH3*OH - k[54]*CH2*H2O
+v_53 = lambda k, M, CH3, CH2, OH, H2O : k[53]*CH3*OH - k[54]*CH2*H2O
#C2H + OH -> CH2 + CO
-v_55 = lambda k, M, OH, CH2, C2H, CO : k[55]*C2H*OH - k[56]*CH2*CO
+v_55 = lambda k, M, C2H, CH2, CO, OH : k[55]*C2H*OH - k[56]*CH2*CO
#C2H2 + O -> CH2 + CO
-v_57 = lambda k, M, CO, O, CH2, C2H2 : k[57]*C2H2*O - k[58]*CH2*CO
+v_57 = lambda k, M, O, CH2, C2H2, CO : k[57]*C2H2*O - k[58]*CH2*CO
#CH3 + C2H -> C2H2 + CH2
-v_59 = lambda k, M, C2H2, CH2, CH3, C2H : k[59]*CH3*C2H - k[60]*C2H2*CH2
+v_59 = lambda k, M, CH3, CH2, C2H, C2H2 : k[59]*CH3*C2H - k[60]*C2H2*CH2
#CH4 + C2H -> CH3 + C2H2
-v_61 = lambda k, M, C2H2, CH4, C2H, CH3 : k[61]*CH4*C2H - k[62]*CH3*C2H2
+v_61 = lambda k, M, C2H, CH3, C2H2, CH4 : k[61]*CH4*C2H - k[62]*CH3*C2H2
#CH3 + C2H3 -> CH4 + C2H2
-v_63 = lambda k, M, C2H2, C2H3, CH3, CH4 : k[63]*CH3*C2H3 - k[64]*CH4*C2H2
+v_63 = lambda k, M, CH3, C2H3, C2H2, CH4 : k[63]*CH3*C2H3 - k[64]*CH4*C2H2
#CH4 + C2H3 -> CH3 + C2H4
-v_65 = lambda k, M, C2H4, CH4, C2H3, CH3 : k[65]*CH4*C2H3 - k[66]*CH3*C2H4
+v_65 = lambda k, M, CH3, C2H3, C2H4, CH4 : k[65]*CH4*C2H3 - k[66]*CH3*C2H4
#CH3 + C2H5 -> CH4 + C2H4
-v_67 = lambda k, M, C2H5, C2H4, CH4, CH3 : k[67]*CH3*C2H5 - k[68]*CH4*C2H4
+v_67 = lambda k, M, CH3, C2H5, C2H4, CH4 : k[67]*CH3*C2H5 - k[68]*CH4*C2H4
#CH3 + C2H6 -> CH4 + C2H5
-v_69 = lambda k, M, C2H5, C2H6, CH4, CH3 : k[69]*CH3*C2H6 - k[70]*CH4*C2H5
+v_69 = lambda k, M, CH3, C2H6, C2H5, CH4 : k[69]*CH3*C2H6 - k[70]*CH4*C2H5
#C2H2 + OH -> CH3 + CO
-v_71 = lambda k, M, CO, OH, CH3, C2H2 : k[71]*C2H2*OH - k[72]*CH3*CO
+v_71 = lambda k, M, OH, CH3, C2H2, CO : k[71]*C2H2*OH - k[72]*CH3*CO
#C2 + H2 -> H + C2H
-v_73 = lambda k, M, H, H2, C2H, C2 : k[73]*C2*H2 - k[74]*H*C2H
+v_73 = lambda k, M, C2H, H, C2, H2 : k[73]*C2*H2 - k[74]*H*C2H
#C2 + CH4 -> CH3 + C2H
-v_75 = lambda k, M, C2H, CH4, CH3, C2 : k[75]*C2*CH4 - k[76]*CH3*C2H
+v_75 = lambda k, M, CH3, C2H, C2, CH4 : k[75]*C2*CH4 - k[76]*CH3*C2H
#C2H + CH2 -> CH + C2H2
-v_77 = lambda k, M, C2H2, CH2, C2H, CH : k[77]*C2H*CH2 - k[78]*CH*C2H2
+v_77 = lambda k, M, C2H, CH2, CH, C2H2 : k[77]*C2H*CH2 - k[78]*CH*C2H2
#C2H + C2H6 -> C2H2 + C2H5
-v_79 = lambda k, M, C2H5, C2H6, C2H, C2H2 : k[79]*C2H*C2H6 - k[80]*C2H2*C2H5
+v_79 = lambda k, M, C2H, C2H6, C2H2, C2H5 : k[79]*C2H*C2H6 - k[80]*C2H2*C2H5
#C2H + O -> CH + CO
-v_81 = lambda k, M, CO, O, C2H, CH : k[81]*C2H*O - k[82]*CH*CO
+v_81 = lambda k, M, C2H, O, CH, CO : k[81]*C2H*O - k[82]*CH*CO
#C2H + OH -> C2H2 + O
-v_83 = lambda k, M, O, OH, C2H, C2H2 : k[83]*C2H*OH - k[84]*C2H2*O
+v_83 = lambda k, M, C2H, O, C2H2, OH : k[83]*C2H*OH - k[84]*C2H2*O
#C2H + H2O -> C2H2 + OH
-v_85 = lambda k, M, OH, H2O, C2H, C2H2 : k[85]*C2H*H2O - k[86]*C2H2*OH
+v_85 = lambda k, M, C2H, OH, C2H2, H2O : k[85]*C2H*H2O - k[86]*C2H2*OH
#C2H3 + C2H3 -> C2H4 + C2H2
-v_87 = lambda k, M, C2H4, C2H3, C2H2 : k[87]*C2H3*C2H3 - k[88]*C2H4*C2H2
+v_87 = lambda k, M, C2H3, C2H2, C2H4 : k[87]*C2H3*C2H3 - k[88]*C2H4*C2H2
#C2H3 + C2H5 -> C2H4 + C2H4
-v_89 = lambda k, M, C2H5, C2H4, C2H3 : k[89]*C2H3*C2H5 - k[90]*C2H4*C2H4
+v_89 = lambda k, M, C2H3, C2H5, C2H4 : k[89]*C2H3*C2H5 - k[90]*C2H4*C2H4
#C2H3 + C2H5 -> C2H6 + C2H2
-v_91 = lambda k, M, C2H5, C2H6, C2H3, C2H2 : k[91]*C2H3*C2H5 - k[92]*C2H6*C2H2
+v_91 = lambda k, M, C2H3, C2H6, C2H5, C2H2 : k[91]*C2H3*C2H5 - k[92]*C2H6*C2H2
#C2H4 + OH -> C2H3 + H2O
@@ -1257,111 +1335,111 @@ def df(y, M, k):
#C2H5 + C2H5 -> C2H4 + C2H6
-v_95 = lambda k, M, C2H5, C2H6, C2H4 : k[95]*C2H5*C2H5 - k[96]*C2H4*C2H6
+v_95 = lambda k, M, C2H6, C2H5, C2H4 : k[95]*C2H5*C2H5 - k[96]*C2H4*C2H6
#C2H5 + C2H4 -> C2H3 + C2H6
-v_97 = lambda k, M, C2H5, C2H6, C2H3, C2H4 : k[97]*C2H5*C2H4 - k[98]*C2H3*C2H6
+v_97 = lambda k, M, C2H3, C2H6, C2H5, C2H4 : k[97]*C2H5*C2H4 - k[98]*C2H3*C2H6
#C2H6 + OH -> C2H5 + H2O
-v_99 = lambda k, M, C2H5, C2H6, OH, H2O : k[99]*C2H6*OH - k[100]*C2H5*H2O
+v_99 = lambda k, M, OH, C2H6, C2H5, H2O : k[99]*C2H6*OH - k[100]*C2H5*H2O
#CH + O -> OH + C
-v_101 = lambda k, M, OH, O, CH, C : k[101]*CH*O - k[102]*OH*C
+v_101 = lambda k, M, OH, CH, O, C : k[101]*CH*O - k[102]*OH*C
#O + CH -> H + CO
-v_103 = lambda k, M, CO, O, H, CH : k[103]*O*CH - k[104]*H*CO
+v_103 = lambda k, M, O, CH, CO, H : k[103]*O*CH - k[104]*H*CO
#O + CH3 -> CH2 + OH
-v_105 = lambda k, M, OH, O, CH2, CH3 : k[105]*O*CH3 - k[106]*CH2*OH
+v_105 = lambda k, M, CH3, O, CH2, OH : k[105]*O*CH3 - k[106]*CH2*OH
#CH3 + OH -> O + CH4
-v_107 = lambda k, M, O, OH, CH4, CH3 : k[107]*CH3*OH - k[108]*O*CH4
+v_107 = lambda k, M, CH3, O, CH4, OH : k[107]*CH3*OH - k[108]*O*CH4
#O + C2H6 -> OH + C2H5
-v_109 = lambda k, M, OH, C2H6, O, C2H5 : k[109]*O*C2H6 - k[110]*OH*C2H5
+v_109 = lambda k, M, OH, O, C2H6, C2H5 : k[109]*O*C2H6 - k[110]*OH*C2H5
#OH + C -> CO + H
-v_111 = lambda k, M, C, OH, H, CO : k[111]*OH*C - k[112]*CO*H
+v_111 = lambda k, M, OH, H, CO, C : k[111]*OH*C - k[112]*CO*H
#OH + CH2 -> H2O + CH
-v_113 = lambda k, M, OH, CH2, H2O, CH : k[113]*OH*CH2 - k[114]*H2O*CH
+v_113 = lambda k, M, OH, CH2, CH, H2O : k[113]*OH*CH2 - k[114]*H2O*CH
#OH + CH4 -> H2O + CH3
-v_115 = lambda k, M, OH, CH4, CH3, H2O : k[115]*OH*CH4 - k[116]*H2O*CH3
+v_115 = lambda k, M, OH, CH3, CH4, H2O : k[115]*OH*CH4 - k[116]*H2O*CH3
#OH + C2H3 -> H2O + C2H2
-v_117 = lambda k, M, OH, H2O, C2H3, C2H2 : k[117]*OH*C2H3 - k[118]*H2O*C2H2
+v_117 = lambda k, M, OH, C2H3, C2H2, H2O : k[117]*OH*C2H3 - k[118]*H2O*C2H2
#OH + C2H5 -> H2O + C2H4
-v_119 = lambda k, M, C2H5, OH, H2O, C2H4 : k[119]*OH*C2H5 - k[120]*H2O*C2H4
+v_119 = lambda k, M, OH, C2H5, C2H4, H2O : k[119]*OH*C2H5 - k[120]*H2O*C2H4
#CH2OH + H -> OH + CH3
-v_121 = lambda k, M, CH2OH, OH, CH3, H : k[121]*CH2OH*H - k[122]*OH*CH3
+v_121 = lambda k, M, OH, CH2OH, CH3, H : k[121]*CH2OH*H - k[122]*OH*CH3
#H2CO + H -> HCO + H2
-v_123 = lambda k, M, HCO, H2, H2CO, H : k[123]*H2CO*H - k[124]*HCO*H2
+v_123 = lambda k, M, H2CO, H2, HCO, H : k[123]*H2CO*H - k[124]*HCO*H2
#O + C2H4 -> HCO + CH3
-v_125 = lambda k, M, O, CH3, C2H4, HCO : k[125]*O*C2H4 - k[126]*HCO*CH3
+v_125 = lambda k, M, HCO, O, CH3, C2H4 : k[125]*O*C2H4 - k[126]*HCO*CH3
#H2CO + CH3 -> CH4 + HCO
-v_127 = lambda k, M, HCO, CH3, H2CO, CH4 : k[127]*H2CO*CH3 - k[128]*CH4*HCO
+v_127 = lambda k, M, CH3, H2CO, HCO, CH4 : k[127]*H2CO*CH3 - k[128]*CH4*HCO
#CH3 + CH2OH -> H2CO + CH4
-v_129 = lambda k, M, CH2OH, H2CO, CH4, CH3 : k[129]*CH3*CH2OH - k[130]*H2CO*CH4
+v_129 = lambda k, M, CH3, CH2OH, H2CO, CH4 : k[129]*CH3*CH2OH - k[130]*H2CO*CH4
#HCO + H -> CO + H2
-v_131 = lambda k, M, CO, H2, H, HCO : k[131]*HCO*H - k[132]*CO*H2
+v_131 = lambda k, M, H, H2, HCO, CO : k[131]*HCO*H - k[132]*CO*H2
#HCO + OH -> CO + H2O
-v_133 = lambda k, M, CO, OH, H2O, HCO : k[133]*HCO*OH - k[134]*CO*H2O
+v_133 = lambda k, M, OH, HCO, CO, H2O : k[133]*HCO*OH - k[134]*CO*H2O
#CO2 + CH -> HCO + CO
-v_135 = lambda k, M, CO, HCO, CO2, CH : k[135]*CO2*CH - k[136]*HCO*CO
+v_135 = lambda k, M, CH, HCO, CO, CO2 : k[135]*CO2*CH - k[136]*HCO*CO
#CH3 + O -> H2CO + H
-v_137 = lambda k, M, O, H, CH3, H2CO : k[137]*CH3*O - k[138]*H2CO*H
+v_137 = lambda k, M, CH3, O, H2CO, H : k[137]*CH3*O - k[138]*H2CO*H
#CH3O + O -> H2CO + OH
-v_139 = lambda k, M, OH, O, CH3O, H2CO : k[139]*CH3O*O - k[140]*H2CO*OH
+v_139 = lambda k, M, CH3O, O, H2CO, OH : k[139]*CH3O*O - k[140]*H2CO*OH
#CH3O + OH -> H2CO + H2O
-v_141 = lambda k, M, OH, H2O, CH3O, H2CO : k[141]*CH3O*OH - k[142]*H2CO*H2O
+v_141 = lambda k, M, CH3O, H2CO, OH, H2O : k[141]*CH3O*OH - k[142]*H2CO*H2O
#CH3OH + H -> CH3O + H2
-v_143 = lambda k, M, H2, H, CH3O, CH3OH : k[143]*CH3OH*H - k[144]*CH3O*H2
+v_143 = lambda k, M, CH3OH, H, CH3O, H2 : k[143]*CH3OH*H - k[144]*CH3O*H2
#CH3OH + H -> CH3 + H2O
-v_145 = lambda k, M, H2O, H, CH3, CH3OH : k[145]*CH3OH*H - k[146]*CH3*H2O
+v_145 = lambda k, M, CH3OH, H, CH3, H2O : k[145]*CH3OH*H - k[146]*CH3*H2O
#CH2 + O -> CO + H + H
-v_147 = lambda k, M, H, O, CH2, CO : k[147]*CH2*O - k[148]*CO*H*H
+v_147 = lambda k, M, CH2, CO, O, H : k[147]*CH2*O - k[148]*CO*H*H
#CH2 + OH -> H2CO + H
@@ -1369,35 +1447,35 @@ def df(y, M, k):
#CO2 + CH2 -> H2CO + CO
-v_151 = lambda k, M, H2CO, CH2, CO2, CO : k[151]*CO2*CH2 - k[152]*H2CO*CO
+v_151 = lambda k, M, H2CO, CH2, CO, CO2 : k[151]*CO2*CH2 - k[152]*H2CO*CO
#CH3O + CO -> CH3 + CO2
-v_153 = lambda k, M, CH3, CO2, CH3O, CO : k[153]*CH3O*CO - k[154]*CH3*CO2
+v_153 = lambda k, M, CH3O, CH3, CO2, CO : k[153]*CH3O*CO - k[154]*CH3*CO2
#CH3OH + H -> CH2OH + H2
-v_155 = lambda k, M, H2, CH2OH, H, CH3OH : k[155]*CH3OH*H - k[156]*CH2OH*H2
+v_155 = lambda k, M, CH3OH, H, CH2OH, H2 : k[155]*CH3OH*H - k[156]*CH2OH*H2
#HCO + C2H -> C2H2 + CO
-v_157 = lambda k, M, C2H2, CO, C2H, HCO : k[157]*HCO*C2H - k[158]*C2H2*CO
+v_157 = lambda k, M, C2H, C2H2, HCO, CO : k[157]*HCO*C2H - k[158]*C2H2*CO
#CH2OH + C2H -> H2CO + C2H2
-v_159 = lambda k, M, CH2OH, H2CO, C2H, C2H2 : k[159]*CH2OH*C2H - k[160]*H2CO*C2H2
+v_159 = lambda k, M, C2H, CH2OH, C2H2, H2CO : k[159]*CH2OH*C2H - k[160]*H2CO*C2H2
#CH3O + C2H -> H2CO + C2H2
-v_161 = lambda k, M, C2H2, H2CO, CH3O, C2H : k[161]*CH3O*C2H - k[162]*H2CO*C2H2
+v_161 = lambda k, M, CH3O, H2CO, C2H, C2H2 : k[161]*CH3O*C2H - k[162]*H2CO*C2H2
#CH3OH + C2H -> CH2OH + C2H2
-v_163 = lambda k, M, C2H2, CH2OH, C2H, CH3OH : k[163]*CH3OH*C2H - k[164]*CH2OH*C2H2
+v_163 = lambda k, M, CH3OH, CH2OH, C2H, C2H2 : k[163]*CH3OH*C2H - k[164]*CH2OH*C2H2
#CH3OH + C2H -> CH3O + C2H2
-v_165 = lambda k, M, CH3O, C2H2, C2H, CH3OH : k[165]*CH3OH*C2H - k[166]*CH3O*C2H2
+v_165 = lambda k, M, CH3OH, CH3O, C2H, C2H2 : k[165]*CH3OH*C2H - k[166]*CH3O*C2H2
#O + C2H3 -> C2H2 + OH
@@ -1405,59 +1483,59 @@ def df(y, M, k):
#CH + C2H4 -> C2H2 + CH3
-v_169 = lambda k, M, C2H2, CH3, C2H4, CH : k[169]*CH*C2H4 - k[170]*C2H2*CH3
+v_169 = lambda k, M, CH3, CH, C2H2, C2H4 : k[169]*CH*C2H4 - k[170]*C2H2*CH3
#CH2 + C2H3 -> C2H2 + CH3
-v_171 = lambda k, M, CH2, C2H3, C2H2, CH3 : k[171]*CH2*C2H3 - k[172]*C2H2*CH3
+v_171 = lambda k, M, CH3, CH2, C2H3, C2H2 : k[171]*CH2*C2H3 - k[172]*C2H2*CH3
#O + CH2 -> CO + H2
-v_173 = lambda k, M, H2, O, CH2, CO : k[173]*O*CH2 - k[174]*CO*H2
+v_173 = lambda k, M, O, CH2, H2, CO : k[173]*O*CH2 - k[174]*CO*H2
#HCO + CH2 -> CO + CH3
-v_175 = lambda k, M, CO, CH2, CH3, HCO : k[175]*HCO*CH2 - k[176]*CO*CH3
+v_175 = lambda k, M, CH3, CH2, HCO, CO : k[175]*HCO*CH2 - k[176]*CO*CH3
#CH2OH + CH2 -> OH + C2H4
-v_177 = lambda k, M, CH2OH, OH, CH2, C2H4 : k[177]*CH2OH*CH2 - k[178]*OH*C2H4
+v_177 = lambda k, M, OH, CH2OH, CH2, C2H4 : k[177]*CH2OH*CH2 - k[178]*OH*C2H4
#CH2OH + CH2 -> H2CO + CH3
-v_179 = lambda k, M, CH2OH, CH2, H2CO, CH3 : k[179]*CH2OH*CH2 - k[180]*H2CO*CH3
+v_179 = lambda k, M, H2CO, CH2OH, CH2, CH3 : k[179]*CH2OH*CH2 - k[180]*H2CO*CH3
#CH3O + CH2 -> H2CO + CH3
-v_181 = lambda k, M, H2CO, CH2, CH3O, CH3 : k[181]*CH3O*CH2 - k[182]*H2CO*CH3
+v_181 = lambda k, M, CH3O, CH2, CH3, H2CO : k[181]*CH3O*CH2 - k[182]*H2CO*CH3
#CH3OH + CH2 -> CH3O + CH3
-v_183 = lambda k, M, CH2, CH3O, CH3OH, CH3 : k[183]*CH3OH*CH2 - k[184]*CH3O*CH3
+v_183 = lambda k, M, CH3OH, CH2, CH3O, CH3 : k[183]*CH3OH*CH2 - k[184]*CH3O*CH3
#CH3OH + CH2 -> CH2OH + CH3
-v_185 = lambda k, M, CH2OH, CH2, CH3, CH3OH : k[185]*CH3OH*CH2 - k[186]*CH2OH*CH3
+v_185 = lambda k, M, CH3OH, CH2, CH2OH, CH3 : k[185]*CH3OH*CH2 - k[186]*CH2OH*CH3
#HCO + CH3 -> CO + CH4
-v_187 = lambda k, M, CO, CH4, CH3, HCO : k[187]*HCO*CH3 - k[188]*CO*CH4
+v_187 = lambda k, M, CH3, HCO, CH4, CO : k[187]*HCO*CH3 - k[188]*CO*CH4
#CH3O + CH3 -> H2CO + CH4
-v_189 = lambda k, M, H2CO, CH3, CH3O, CH4 : k[189]*CH3O*CH3 - k[190]*H2CO*CH4
+v_189 = lambda k, M, CH3O, H2CO, CH3, CH4 : k[189]*CH3O*CH3 - k[190]*H2CO*CH4
#CH3OH + CH3 -> CH3O + CH4
-v_191 = lambda k, M, CH3O, CH4, CH3, CH3OH : k[191]*CH3OH*CH3 - k[192]*CH3O*CH4
+v_191 = lambda k, M, CH3OH, CH3O, CH3, CH4 : k[191]*CH3OH*CH3 - k[192]*CH3O*CH4
#CH3CO + H -> HCO + CH3
-v_193 = lambda k, M, HCO, CH3CO, CH3, H : k[193]*CH3CO*H - k[194]*HCO*CH3
+v_193 = lambda k, M, CH3, H, HCO, CH3CO : k[193]*CH3CO*H - k[194]*HCO*CH3
#CH3CO + CH3 -> CO + C2H6
-v_195 = lambda k, M, C2H6, CH3CO, CH3, CO : k[195]*CH3CO*CH3 - k[196]*CO*C2H6
+v_195 = lambda k, M, CH3, C2H6, CH3CO, CO : k[195]*CH3CO*CH3 - k[196]*CO*C2H6
#O + OH -> O2 + H
@@ -1465,1305 +1543,1437 @@ def df(y, M, k):
#H + CH3O -> H2CO + H2
-v_199 = lambda k, M, H2CO, H2, CH3O, H : k[199]*H*CH3O - k[200]*H2CO*H2
+v_199 = lambda k, M, CH3O, H, H2, H2CO : k[199]*H*CH3O - k[200]*H2CO*H2
#H + H2CCO -> CO + CH3
-v_201 = lambda k, M, CO, H2CCO, CH3, H : k[201]*H*H2CCO - k[202]*CO*CH3
+v_201 = lambda k, M, CH3, H, CO, H2CCO : k[201]*H*H2CCO - k[202]*CO*CH3
#O + C2H3 -> H2CCO + H
-v_203 = lambda k, M, O, H2CCO, C2H3, H : k[203]*O*C2H3 - k[204]*H2CCO*H
+v_203 = lambda k, M, O, C2H3, H, H2CCO : k[203]*O*C2H3 - k[204]*H2CCO*H
#C2H2 + O -> HCCO + H
-v_205 = lambda k, M, HCCO, O, H, C2H2 : k[205]*C2H2*O - k[206]*HCCO*H
+v_205 = lambda k, M, O, C2H2, H, HCCO : k[205]*C2H2*O - k[206]*HCCO*H
#HCCO + H -> CO + CH2
-v_207 = lambda k, M, HCCO, CO, CH2, H : k[207]*HCCO*H - k[208]*CO*CH2
+v_207 = lambda k, M, H, CH2, CO, HCCO : k[207]*HCCO*H - k[208]*CO*CH2
#O + H2CO -> HCO + OH
-v_209 = lambda k, M, OH, O, H2CO, HCO : k[209]*O*H2CO - k[210]*HCO*OH
+v_209 = lambda k, M, H2CO, O, HCO, OH : k[209]*O*H2CO - k[210]*HCO*OH
#HCO + HCO -> H2CO + CO
-v_211 = lambda k, M, CO, H2CO, HCO : k[211]*HCO*HCO - k[212]*H2CO*CO
+v_211 = lambda k, M, H2CO, HCO, CO : k[211]*HCO*HCO - k[212]*H2CO*CO
#CH2OH + CH3O -> H2CO + CH3OH
-v_213 = lambda k, M, CH2OH, H2CO, CH3O, CH3OH : k[213]*CH2OH*CH3O - k[214]*H2CO*CH3OH
+v_213 = lambda k, M, CH3O, CH2OH, CH3OH, H2CO : k[213]*CH2OH*CH3O - k[214]*H2CO*CH3OH
#CH3O + CH3O -> H2CO + CH3OH
-v_215 = lambda k, M, H2CO, CH3O, CH3OH : k[215]*CH3O*CH3O - k[216]*H2CO*CH3OH
+v_215 = lambda k, M, CH3O, H2CO, CH3OH : k[215]*CH3O*CH3O - k[216]*H2CO*CH3OH
#N + CH -> NH + C
-v_217 = lambda k, M, NH, N, CH, C : k[217]*N*CH - k[218]*NH*C
+v_217 = lambda k, M, CH, NH, N, C : k[217]*N*CH - k[218]*NH*C
#N + CH -> CN + H
-v_219 = lambda k, M, H, N, CN, CH : k[219]*N*CH - k[220]*CN*H
+v_219 = lambda k, M, CH, CN, H, N : k[219]*N*CH - k[220]*CN*H
#N + CH2 -> NH + CH
-v_221 = lambda k, M, NH, CH2, N, CH : k[221]*N*CH2 - k[222]*NH*CH
+v_221 = lambda k, M, CH2, CH, NH, N : k[221]*N*CH2 - k[222]*NH*CH
#N + CH2 -> HCN + H
-v_223 = lambda k, M, CH2, N, H, HCN : k[223]*N*CH2 - k[224]*HCN*H
+v_223 = lambda k, M, CH2, HCN, H, N : k[223]*N*CH2 - k[224]*HCN*H
#N + C2 -> CN + C
-v_225 = lambda k, M, C, N, CN, C2 : k[225]*N*C2 - k[226]*CN*C
+v_225 = lambda k, M, C2, CN, N, C : k[225]*N*C2 - k[226]*CN*C
-#H + NO -> OH + N
-v_227 = lambda k, M, OH, N, NO, H : k[227]*H*NO - k[228]*OH*N
+#N + OH -> NO + H
+v_227 = lambda k, M, OH, H, NO, N : k[227]*N*OH - k[228]*NO*H
#H + NH -> H2 + N
-v_229 = lambda k, M, NH, N, H2, H : k[229]*H*NH - k[230]*H2*N
+v_229 = lambda k, M, H, NH, H2, N : k[229]*H*NH - k[230]*H2*N
#H + NH2 -> H2 + NH
-v_231 = lambda k, M, NH, NH2, H2, H : k[231]*H*NH2 - k[232]*H2*NH
+v_231 = lambda k, M, H, NH, H2, NH2 : k[231]*H*NH2 - k[232]*H2*NH
#H2 + CN -> H + HCN
-v_233 = lambda k, M, H2, CN, H, HCN : k[233]*H2*CN - k[234]*H*HCN
+v_233 = lambda k, M, H, H2, HCN, CN : k[233]*H2*CN - k[234]*H*HCN
#CH2 + CN -> CH + HCN
-v_235 = lambda k, M, CH2, CN, CH, HCN : k[235]*CH2*CN - k[236]*CH*HCN
+v_235 = lambda k, M, CH2, CH, CN, HCN : k[235]*CH2*CN - k[236]*CH*HCN
#CH3 + NH -> CH4 + N
-v_237 = lambda k, M, NH, N, CH4, CH3 : k[237]*CH3*NH - k[238]*CH4*N
+v_237 = lambda k, M, CH3, NH, N, CH4 : k[237]*CH3*NH - k[238]*CH4*N
#CH3 + NH2 -> CH4 + NH
-v_239 = lambda k, M, NH, NH2, CH4, CH3 : k[239]*CH3*NH2 - k[240]*CH4*NH
+v_239 = lambda k, M, CH3, NH, CH4, NH2 : k[239]*CH3*NH2 - k[240]*CH4*NH
#CH3 + CN -> CH2 + HCN
-v_241 = lambda k, M, CN, CH2, CH3, HCN : k[241]*CH3*CN - k[242]*CH2*HCN
+v_241 = lambda k, M, CH3, CH2, CN, HCN : k[241]*CH3*CN - k[242]*CH2*HCN
#CH4 + CN -> HCN + CH3
-v_243 = lambda k, M, CH4, CN, CH3, HCN : k[243]*CH4*CN - k[244]*HCN*CH3
+v_243 = lambda k, M, CH3, HCN, CN, CH4 : k[243]*CH4*CN - k[244]*HCN*CH3
#C2 + N2 -> CN + CN
-v_245 = lambda k, M, CN, C2, N2 : k[245]*C2*N2 - k[246]*CN*CN
+v_245 = lambda k, M, N2, C2, CN : k[245]*C2*N2 - k[246]*CN*CN
#NH2 + C2H -> NH + C2H2
-v_247 = lambda k, M, NH, NH2, C2H, C2H2 : k[247]*NH2*C2H - k[248]*NH*C2H2
+v_247 = lambda k, M, C2H, NH, C2H2, NH2 : k[247]*NH2*C2H - k[248]*NH*C2H2
#NH2 + C2H3 -> NH3 + C2H2
-v_249 = lambda k, M, NH3, NH2, C2H3, C2H2 : k[249]*NH2*C2H3 - k[250]*NH3*C2H2
+v_249 = lambda k, M, C2H3, NH3, C2H2, NH2 : k[249]*NH2*C2H3 - k[250]*NH3*C2H2
#NH2 + C2H4 -> NH3 + C2H3
-v_251 = lambda k, M, NH3, NH2, C2H3, C2H4 : k[251]*NH2*C2H4 - k[252]*NH3*C2H3
+v_251 = lambda k, M, C2H3, NH3, C2H4, NH2 : k[251]*NH2*C2H4 - k[252]*NH3*C2H3
#NH2 + C2H5 -> NH3 + C2H4
-v_253 = lambda k, M, C2H5, NH2, NH3, C2H4 : k[253]*NH2*C2H5 - k[254]*NH3*C2H4
+v_253 = lambda k, M, NH3, C2H5, C2H4, NH2 : k[253]*NH2*C2H5 - k[254]*NH3*C2H4
#NH2 + C2H6 -> NH3 + C2H5
-v_255 = lambda k, M, NH3, NH2, C2H6, C2H5 : k[255]*NH2*C2H6 - k[256]*NH3*C2H5
+v_255 = lambda k, M, C2H6, NH3, C2H5, NH2 : k[255]*NH2*C2H6 - k[256]*NH3*C2H5
#O + NH -> OH + N
-v_257 = lambda k, M, NH, O, N, OH : k[257]*O*NH - k[258]*OH*N
+v_257 = lambda k, M, OH, O, NH, N : k[257]*O*NH - k[258]*OH*N
#O + NH -> NO + H
-v_259 = lambda k, M, NH, O, NO, H : k[259]*O*NH - k[260]*NO*H
+v_259 = lambda k, M, O, NH, NO, H : k[259]*O*NH - k[260]*NO*H
#O + NH3 -> OH + NH2
-v_261 = lambda k, M, NH3, NH2, O, OH : k[261]*O*NH3 - k[262]*OH*NH2
+v_261 = lambda k, M, OH, O, NH2, NH3 : k[261]*O*NH3 - k[262]*OH*NH2
#OH + NH -> H2O + N
-v_263 = lambda k, M, NH, N, OH, H2O : k[263]*OH*NH - k[264]*H2O*N
+v_263 = lambda k, M, OH, NH, N, H2O : k[263]*OH*NH - k[264]*H2O*N
#OH + CN -> O + HCN
-v_265 = lambda k, M, O, OH, CN, HCN : k[265]*OH*CN - k[266]*O*HCN
+v_265 = lambda k, M, OH, O, CN, HCN : k[265]*OH*CN - k[266]*O*HCN
#OH + HCN -> H2O + CN
-v_267 = lambda k, M, OH, H2O, CN, HCN : k[267]*OH*HCN - k[268]*H2O*CN
+v_267 = lambda k, M, OH, HCN, CN, H2O : k[267]*OH*HCN - k[268]*H2O*CN
#OH + HCN -> NH2 + CO
-v_269 = lambda k, M, NH2, OH, CO, HCN : k[269]*OH*HCN - k[270]*NH2*CO
+v_269 = lambda k, M, OH, HCN, CO, NH2 : k[269]*OH*HCN - k[270]*NH2*CO
#OH + NH -> O + NH2
-v_271 = lambda k, M, NH, O, OH, NH2 : k[271]*OH*NH - k[272]*O*NH2
+v_271 = lambda k, M, OH, O, NH, NH2 : k[271]*OH*NH - k[272]*O*NH2
#NH2 + OH -> H2O + NH
-v_273 = lambda k, M, NH, NH2, OH, H2O : k[273]*NH2*OH - k[274]*H2O*NH
+v_273 = lambda k, M, OH, NH, NH2, H2O : k[273]*NH2*OH - k[274]*H2O*NH
#CN + O -> N + CO
-v_275 = lambda k, M, O, N, CN, CO : k[275]*CN*O - k[276]*N*CO
+v_275 = lambda k, M, O, CN, CO, N : k[275]*CN*O - k[276]*N*CO
#N + CO2 -> CO + NO
-v_277 = lambda k, M, N, NO, CO2, CO : k[277]*N*CO2 - k[278]*CO*NO
+v_277 = lambda k, M, CO2, NO, CO, N : k[277]*N*CO2 - k[278]*CO*NO
#N + NO -> N2 + O
-v_279 = lambda k, M, O, N, NO, N2 : k[279]*N*NO - k[280]*N2*O
+v_279 = lambda k, M, N2, NO, N, O : k[279]*N*NO - k[280]*N2*O
#N + NH -> N2 + H
-v_281 = lambda k, M, NH, N, H, N2 : k[281]*N*NH - k[282]*N2*H
+v_281 = lambda k, M, N2, NH, H, N : k[281]*N*NH - k[282]*N2*H
#N + CN -> N2 + C
-v_283 = lambda k, M, C, N, CN, N2 : k[283]*N*CN - k[284]*N2*C
+v_283 = lambda k, M, N2, CN, N, C : k[283]*N*CN - k[284]*N2*C
#N2 + CH2 -> NH + HCN
-v_285 = lambda k, M, NH, HCN, CH2, N2 : k[285]*N2*CH2 - k[286]*NH*HCN
+v_285 = lambda k, M, NH, N2, CH2, HCN : k[285]*N2*CH2 - k[286]*NH*HCN
#NO + C -> O + CN
-v_287 = lambda k, M, C, O, NO, CN : k[287]*NO*C - k[288]*O*CN
+v_287 = lambda k, M, O, CN, NO, C : k[287]*NO*C - k[288]*O*CN
#NO + CH -> O + HCN
-v_289 = lambda k, M, O, NO, CH, HCN : k[289]*NO*CH - k[290]*O*HCN
+v_289 = lambda k, M, CH, HCN, NO, O : k[289]*NO*CH - k[290]*O*HCN
#NO + CH -> CO + NH
-v_291 = lambda k, M, CO, NH, NO, CH : k[291]*NO*CH - k[292]*CO*NH
+v_291 = lambda k, M, CH, NH, NO, CO : k[291]*NO*CH - k[292]*CO*NH
#NO + CH3 -> HCN + H2O
-v_293 = lambda k, M, H2O, NO, CH3, HCN : k[293]*NO*CH3 - k[294]*HCN*H2O
+v_293 = lambda k, M, CH3, HCN, NO, H2O : k[293]*NO*CH3 - k[294]*HCN*H2O
#NO + NH -> N2 + OH
-v_295 = lambda k, M, NH, OH, NO, N2 : k[295]*NO*NH - k[296]*N2*OH
+v_295 = lambda k, M, OH, N2, NH, NO : k[295]*NO*NH - k[296]*N2*OH
#NO + NH2 -> N2 + H2O
-v_297 = lambda k, M, NH2, H2O, NO, N2 : k[297]*NO*NH2 - k[298]*N2*H2O
+v_297 = lambda k, M, N2, NO, NH2, H2O : k[297]*NO*NH2 - k[298]*N2*H2O
#NO + CN -> N2 + CO
-v_299 = lambda k, M, NO, CN, CO, N2 : k[299]*NO*CN - k[300]*N2*CO
+v_299 = lambda k, M, N2, CN, NO, CO : k[299]*NO*CN - k[300]*N2*CO
#NH + C -> H + CN
-v_301 = lambda k, M, NH, CN, H, C : k[301]*NH*C - k[302]*H*CN
+v_301 = lambda k, M, H, NH, CN, C : k[301]*NH*C - k[302]*H*CN
#NH + NH -> N2 + H2
-v_303 = lambda k, M, NH, H2, N2 : k[303]*NH*NH - k[304]*N2*H2
+v_303 = lambda k, M, N2, NH, H2 : k[303]*NH*NH - k[304]*N2*H2
#NH2 + H2 -> NH3 + H
-v_305 = lambda k, M, NH3, NH2, H2, H : k[305]*NH2*H2 - k[306]*NH3*H
+v_305 = lambda k, M, H, NH3, H2, NH2 : k[305]*NH2*H2 - k[306]*NH3*H
#NH2 + CH4 -> CH3 + NH3
-v_307 = lambda k, M, NH3, NH2, CH4, CH3 : k[307]*NH2*CH4 - k[308]*CH3*NH3
+v_307 = lambda k, M, CH3, NH3, CH4, NH2 : k[307]*NH2*CH4 - k[308]*CH3*NH3
#NH2 + O -> H2 + NO
-v_309 = lambda k, M, NH2, O, H2, NO : k[309]*NH2*O - k[310]*H2*NO
+v_309 = lambda k, M, O, H2, NO, NH2 : k[309]*NH2*O - k[310]*H2*NO
-#NH2 + H2O -> NH3 + OH
-v_311 = lambda k, M, NH3, NH2, OH, H2O : k[311]*NH2*H2O - k[312]*NH3*OH
+#NH3 + OH -> NH2 + H2O
+v_311 = lambda k, M, OH, NH2, NH3, H2O : k[311]*NH3*OH - k[312]*NH2*H2O
#NH2 + NH2 -> NH3 + NH
-v_313 = lambda k, M, NH3, NH2, NH : k[313]*NH2*NH2 - k[314]*NH3*NH
+v_313 = lambda k, M, NH, NH3, NH2 : k[313]*NH2*NH2 - k[314]*NH3*NH
#NH3 + CH -> NH2 + CH2
-v_315 = lambda k, M, NH3, NH2, CH2, CH : k[315]*NH3*CH - k[316]*NH2*CH2
+v_315 = lambda k, M, CH, NH2, CH2, NH3 : k[315]*NH3*CH - k[316]*NH2*CH2
#NH3 + CN -> HCN + NH2
-v_317 = lambda k, M, NH3, NH2, CN, HCN : k[317]*NH3*CN - k[318]*HCN*NH2
-
-
-#NH + H2CN -> HCN + NH2
-v_319 = lambda k, M, NH, NH2, H2CN, HCN : k[319]*NH*H2CN - k[320]*HCN*NH2
+v_317 = lambda k, M, HCN, NH2, CN, NH3 : k[317]*NH3*CN - k[318]*HCN*NH2
#CN + C2H6 -> C2H5 + HCN
-v_321 = lambda k, M, C2H5, C2H6, CN, HCN : k[321]*CN*C2H6 - k[322]*C2H5*HCN
+v_319 = lambda k, M, HCN, C2H6, CN, C2H5 : k[319]*CN*C2H6 - k[320]*C2H5*HCN
#HCN + O -> CO + NH
-v_323 = lambda k, M, NH, O, CO, HCN : k[323]*HCN*O - k[324]*CO*NH
+v_321 = lambda k, M, HCN, NH, CO, O : k[321]*HCN*O - k[322]*CO*NH
#NH + NH2 -> N2H2 + H
-v_325 = lambda k, M, NH, NH2, N2H2, H : k[325]*NH*NH2 - k[326]*N2H2*H
+v_323 = lambda k, M, H, NH, NH2, N2H2 : k[323]*NH*NH2 - k[324]*N2H2*H
#NH2 + N2H2 -> NH3 + N2H
-v_327 = lambda k, M, NH3, NH2, N2H, N2H2 : k[327]*NH2*N2H2 - k[328]*NH3*N2H
+v_325 = lambda k, M, N2H, NH3, NH2, N2H2 : k[325]*NH2*N2H2 - k[326]*NH3*N2H
#NH2 + N2H3 -> NH3 + N2H2
-v_329 = lambda k, M, NH3, NH2, N2H3, N2H2 : k[329]*NH2*N2H3 - k[330]*NH3*N2H2
+v_327 = lambda k, M, N2H3, NH3, NH2, N2H2 : k[327]*NH2*N2H3 - k[328]*NH3*N2H2
#N2H2 + H -> N2H + H2
-v_331 = lambda k, M, H2, N2H, N2H2, H : k[331]*N2H2*H - k[332]*N2H*H2
+v_329 = lambda k, M, N2H, H, H2, N2H2 : k[329]*N2H2*H - k[330]*N2H*H2
#N2H2 + CH3 -> N2H + CH4
-v_333 = lambda k, M, N2H, N2H2, CH3, CH4 : k[333]*N2H2*CH3 - k[334]*N2H*CH4
+v_331 = lambda k, M, CH3, N2H, CH4, N2H2 : k[331]*N2H2*CH3 - k[332]*N2H*CH4
#N2H2 + OH -> N2H + H2O
-v_335 = lambda k, M, N2H, OH, N2H2, H2O : k[335]*N2H2*OH - k[336]*N2H*H2O
+v_333 = lambda k, M, OH, N2H, H2O, N2H2 : k[333]*N2H2*OH - k[334]*N2H*H2O
#N2H3 + H -> N2H2 + H2
-v_337 = lambda k, M, H2, N2H3, N2H2, H : k[337]*N2H3*H - k[338]*N2H2*H2
+v_335 = lambda k, M, N2H3, H, H2, N2H2 : k[335]*N2H3*H - k[336]*N2H2*H2
#N2H3 + O -> N2H2 + OH
-v_339 = lambda k, M, OH, O, N2H3, N2H2 : k[339]*N2H3*O - k[340]*N2H2*OH
+v_337 = lambda k, M, N2H3, O, OH, N2H2 : k[337]*N2H3*O - k[338]*N2H2*OH
#N2H3 + OH -> N2H2 + H2O
-v_341 = lambda k, M, OH, N2H3, N2H2, H2O : k[341]*N2H3*OH - k[342]*N2H2*H2O
+v_339 = lambda k, M, N2H3, H2O, OH, N2H2 : k[339]*N2H3*OH - k[340]*N2H2*H2O
#N2H3 + N2H3 -> N2H4 + N2H2
-v_343 = lambda k, M, N2H3, N2H2, N2H4 : k[343]*N2H3*N2H3 - k[344]*N2H4*N2H2
+v_341 = lambda k, M, N2H3, N2H4, N2H2 : k[341]*N2H3*N2H3 - k[342]*N2H4*N2H2
#N2H + H -> N2 + H2
-v_345 = lambda k, M, N2H, H2, H, N2 : k[345]*N2H*H - k[346]*N2*H2
+v_343 = lambda k, M, N2H, H, H2, N2 : k[343]*N2H*H - k[344]*N2*H2
#N2H + OH -> N2 + H2O
-v_347 = lambda k, M, OH, N2H, H2O, N2 : k[347]*N2H*OH - k[348]*N2*H2O
+v_345 = lambda k, M, N2H, N2, OH, H2O : k[345]*N2H*OH - k[346]*N2*H2O
#N2H + O -> N2 + OH
-v_349 = lambda k, M, OH, O, N2H, N2 : k[349]*N2H*O - k[350]*N2*OH
+v_347 = lambda k, M, N2H, O, N2, OH : k[347]*N2H*O - k[348]*N2*OH
#N2H + NH2 -> N2 + NH3
-v_351 = lambda k, M, NH3, NH2, N2H, N2 : k[351]*N2H*NH2 - k[352]*N2*NH3
+v_349 = lambda k, M, N2H, N2, NH3, NH2 : k[349]*N2H*NH2 - k[350]*N2*NH3
#NH2 + NO -> N2H + OH
-v_353 = lambda k, M, OH, NH2, N2H, NO : k[353]*NH2*NO - k[354]*N2H*OH
+v_351 = lambda k, M, N2H, OH, NO, NH2 : k[351]*NH2*NO - k[352]*N2H*OH
#N2H + NO -> N2 + HNO
-v_355 = lambda k, M, N2H, HNO, NO, N2 : k[355]*N2H*NO - k[356]*N2*HNO
+v_353 = lambda k, M, N2H, N2, NO, HNO : k[353]*N2H*NO - k[354]*N2*HNO
#N2H2 + O -> N2H + OH
-v_357 = lambda k, M, OH, N2H, O, N2H2 : k[357]*N2H2*O - k[358]*N2H*OH
+v_355 = lambda k, M, N2H, O, OH, N2H2 : k[355]*N2H2*O - k[356]*N2H*OH
#NH + N2H2 -> NH2 + N2H
-v_359 = lambda k, M, NH, NH2, N2H, N2H2 : k[359]*NH*N2H2 - k[360]*NH2*N2H
+v_357 = lambda k, M, N2H, NH, NH2, N2H2 : k[357]*NH*N2H2 - k[358]*NH2*N2H
#H2CN + OH -> HCN + H2O
-v_361 = lambda k, M, OH, H2O, H2CN, HCN : k[361]*H2CN*OH - k[362]*HCN*H2O
+v_359 = lambda k, M, OH, HCN, H2CN, H2O : k[359]*H2CN*OH - k[360]*HCN*H2O
#NO + CH2 -> HNCO + H
-v_363 = lambda k, M, HNCO, CH2, NO, H : k[363]*NO*CH2 - k[364]*HNCO*H
+v_361 = lambda k, M, HNCO, CH2, NO, H : k[361]*NO*CH2 - k[362]*HNCO*H
#HNCO + H -> CO + NH2
-v_365 = lambda k, M, HNCO, NH2, CO, H : k[365]*HNCO*H - k[366]*CO*NH2
+v_363 = lambda k, M, HNCO, H, NH2, CO : k[363]*HNCO*H - k[364]*CO*NH2
#HCN + OH -> HNCO + H
-v_367 = lambda k, M, HNCO, OH, H, HCN : k[367]*HCN*OH - k[368]*HNCO*H
+v_365 = lambda k, M, OH, HCN, HNCO, H : k[365]*HCN*OH - k[366]*HNCO*H
#CH3 + N -> H2CN + H
-v_369 = lambda k, M, N, H2CN, CH3, H : k[369]*CH3*N - k[370]*H2CN*H
+v_367 = lambda k, M, CH3, H, H2CN, N : k[367]*CH3*N - k[368]*H2CN*H
#CH3 + N -> HCN + H2
-v_371 = lambda k, M, H2, N, CH3, HCN : k[371]*CH3*N - k[372]*HCN*H2
+v_369 = lambda k, M, CH3, HCN, H2, N : k[369]*CH3*N - k[370]*HCN*H2
#CH3 + NH2 -> NH3 + CH2
-v_373 = lambda k, M, NH3, NH2, CH2, CH3 : k[373]*CH3*NH2 - k[374]*NH3*CH2
+v_371 = lambda k, M, CH3, CH2, NH3, NH2 : k[371]*CH3*NH2 - k[372]*NH3*CH2
#N2H + O -> NH + NO
-v_375 = lambda k, M, NH, O, N2H, NO : k[375]*N2H*O - k[376]*NH*NO
+v_373 = lambda k, M, N2H, O, NH, NO : k[373]*N2H*O - k[374]*NH*NO
#NH2 + NH2 -> N2H2 + H2
-v_377 = lambda k, M, H2, NH2, N2H2 : k[377]*NH2*NH2 - k[378]*N2H2*H2
+v_375 = lambda k, M, H2, NH2, N2H2 : k[375]*NH2*NH2 - k[376]*N2H2*H2
#NO + CH3 -> H2CN + OH
-v_379 = lambda k, M, H2CN, OH, NO, CH3 : k[379]*NO*CH3 - k[380]*H2CN*OH
+v_377 = lambda k, M, CH3, H2CN, NO, OH : k[377]*NO*CH3 - k[378]*H2CN*OH
#N2H4 + H -> N2H3 + H2
-v_381 = lambda k, M, N2H3, H2, N2H4, H : k[381]*N2H4*H - k[382]*N2H3*H2
+v_379 = lambda k, M, N2H4, H, H2, N2H3 : k[379]*N2H4*H - k[380]*N2H3*H2
#O + CH3O -> O2 + CH3
-v_383 = lambda k, M, O, CH3, O2, CH3O : k[383]*O*CH3O - k[384]*O2*CH3
+v_381 = lambda k, M, CH3O, O, CH3, O2 : k[381]*O*CH3O - k[382]*O2*CH3
#O2 + C -> O + CO
-v_385 = lambda k, M, C, O, O2, CO : k[385]*O2*C - k[386]*O*CO
+v_383 = lambda k, M, O, O2, CO, C : k[383]*O2*C - k[384]*O*CO
#O2 + CH2 -> H2O + CO
-v_387 = lambda k, M, CO, CH2, O2, H2O : k[387]*O2*CH2 - k[388]*H2O*CO
+v_385 = lambda k, M, CH2, O2, H2O, CO : k[385]*O2*CH2 - k[386]*H2O*CO
#O2 + CH3 -> OH + H2CO
-v_389 = lambda k, M, OH, O2, CH3, H2CO : k[389]*O2*CH3 - k[390]*OH*H2CO
+v_387 = lambda k, M, CH3, H2CO, O2, OH : k[387]*O2*CH3 - k[388]*OH*H2CO
#O2 + C2H -> CO + HCO
-v_391 = lambda k, M, HCO, O2, C2H, CO : k[391]*O2*C2H - k[392]*CO*HCO
+v_389 = lambda k, M, C2H, HCO, O2, CO : k[389]*O2*C2H - k[390]*CO*HCO
#O2 + C2H3 -> H2CO + HCO
-v_393 = lambda k, M, H2CO, O2, C2H3, HCO : k[393]*O2*C2H3 - k[394]*H2CO*HCO
+v_391 = lambda k, M, H2CO, C2H3, HCO, O2 : k[391]*O2*C2H3 - k[392]*H2CO*HCO
#N + O2 -> NO + O
-v_395 = lambda k, M, O, NO, N, O2 : k[395]*N*O2 - k[396]*NO*O
+v_393 = lambda k, M, O, NO, O2, N : k[393]*N*O2 - k[394]*NO*O
#NH + O2 -> NO + OH
-v_397 = lambda k, M, NH, NO, O2, OH : k[397]*NH*O2 - k[398]*NO*OH
+v_395 = lambda k, M, OH, NH, NO, O2 : k[395]*NH*O2 - k[396]*NO*OH
#NH + O2 -> HNO + O
-v_399 = lambda k, M, NH, O, HNO, O2 : k[399]*NH*O2 - k[400]*HNO*O
+v_397 = lambda k, M, HNO, NH, O2, O : k[397]*NH*O2 - k[398]*HNO*O
-#NH2 + O2 -> HNO + OH
-v_401 = lambda k, M, OH, NH2, HNO, O2 : k[401]*NH2*O2 - k[402]*HNO*OH
+#O2 + NH2 -> HNO + OH
+v_399 = lambda k, M, OH, HNO, O2, NH2 : k[399]*O2*NH2 - k[400]*HNO*OH
#NO2 + O -> NO + O2
-v_403 = lambda k, M, O2, O, NO, NO2 : k[403]*NO2*O - k[404]*NO*O2
+v_401 = lambda k, M, O, NO2, O2, NO : k[401]*NO2*O - k[402]*NO*O2
#N2O + O -> N2 + O2
-v_405 = lambda k, M, O2, O, N2O, N2 : k[405]*N2O*O - k[406]*N2*O2
+v_403 = lambda k, M, O, O2, N2, N2O : k[403]*N2O*O - k[404]*N2*O2
#N2O + H -> N2 + OH
-v_407 = lambda k, M, OH, N2O, H, N2 : k[407]*N2O*H - k[408]*N2*OH
+v_405 = lambda k, M, OH, H, N2, N2O : k[405]*N2O*H - k[406]*N2*OH
#NH + NO -> N2O + H
-v_409 = lambda k, M, NH, NO, N2O, H : k[409]*NH*NO - k[410]*N2O*H
+v_407 = lambda k, M, H, NH, NO, N2O : k[407]*NH*NO - k[408]*N2O*H
#NH2 + NO2 -> N2O + H2O
-v_411 = lambda k, M, NH2, H2O, N2O, NO2 : k[411]*NH2*NO2 - k[412]*N2O*H2O
+v_409 = lambda k, M, NO2, H2O, NH2, N2O : k[409]*NH2*NO2 - k[410]*N2O*H2O
#HNO + HNO -> N2O + H2O
-v_413 = lambda k, M, HNO, H2O, N2O : k[413]*HNO*HNO - k[414]*N2O*H2O
+v_411 = lambda k, M, HNO, H2O, N2O : k[411]*HNO*HNO - k[412]*N2O*H2O
#NO2 + CH3 -> NO + CH3O
-v_415 = lambda k, M, CH3O, NO, CH3, NO2 : k[415]*NO2*CH3 - k[416]*NO*CH3O
+v_413 = lambda k, M, CH3, CH3O, NO2, NO : k[413]*NO2*CH3 - k[414]*NO*CH3O
#N2H4 + NH2 -> N2H3 + NH3
-v_417 = lambda k, M, NH3, NH2, N2H3, N2H4 : k[417]*N2H4*NH2 - k[418]*N2H3*NH3
+v_415 = lambda k, M, N2H4, NH3, N2H3, NH2 : k[415]*N2H4*NH2 - k[416]*N2H3*NH3
#C2H + C2H2 -> C4H2 + H
-v_419 = lambda k, M, C4H2, H, C2H, C2H2 : k[419]*C2H*C2H2 - k[420]*C4H2*H
+v_417 = lambda k, M, C2H, H, C2H2, C4H2 : k[417]*C2H*C2H2 - k[418]*C4H2*H
#CH2NH2 + H -> CH2NH + H2
-v_421 = lambda k, M, CH2NH2, H2, CH2NH, H : k[421]*CH2NH2*H - k[422]*CH2NH*H2
+v_419 = lambda k, M, CH2NH, H, CH2NH2, H2 : k[419]*CH2NH2*H - k[420]*CH2NH*H2
#CH3NH2 + NH2 -> CH2NH2 + NH3
-v_423 = lambda k, M, CH3NH2, NH2, CH2NH2, NH3 : k[423]*CH3NH2*NH2 - k[424]*CH2NH2*NH3
+v_421 = lambda k, M, CH3NH2, NH3, CH2NH2, NH2 : k[421]*CH3NH2*NH2 - k[422]*CH2NH2*NH3
#CH2NH2 + CH3 -> NH2 + C2H5
-v_425 = lambda k, M, C2H5, NH2, CH2NH2, CH3 : k[425]*CH2NH2*CH3 - k[426]*NH2*C2H5
+v_423 = lambda k, M, CH3, CH2NH2, C2H5, NH2 : k[423]*CH2NH2*CH3 - k[424]*NH2*C2H5
#CH2NH2 + OH -> CH2OH + NH2
-v_427 = lambda k, M, OH, CH2OH, CH2NH2, NH2 : k[427]*CH2NH2*OH - k[428]*CH2OH*NH2
+v_425 = lambda k, M, OH, CH2OH, CH2NH2, NH2 : k[425]*CH2NH2*OH - k[426]*CH2OH*NH2
#CH3NH2 + H -> CH2NH2 + H2
-v_429 = lambda k, M, CH3NH2, CH2NH2, H2, H : k[429]*CH3NH2*H - k[430]*CH2NH2*H2
+v_427 = lambda k, M, CH3NH2, CH2NH2, H2, H : k[427]*CH3NH2*H - k[428]*CH2NH2*H2
#CH2NH + H -> H2CN + H2
-v_431 = lambda k, M, H2, H, H2CN, CH2NH : k[431]*CH2NH*H - k[432]*H2CN*H2
+v_429 = lambda k, M, CH2NH, H, H2CN, H2 : k[429]*CH2NH*H - k[430]*H2CN*H2
#CH3 + NH2 -> CH2NH + H2
-v_433 = lambda k, M, NH2, H2, CH3, CH2NH : k[433]*CH3*NH2 - k[434]*CH2NH*H2
+v_431 = lambda k, M, CH3, CH2NH, H2, NH2 : k[431]*CH3*NH2 - k[432]*CH2NH*H2
#CH3 + NH2 -> CH2NH2 + H
-v_435 = lambda k, M, NH2, CH2NH2, CH3, H : k[435]*CH3*NH2 - k[436]*CH2NH2*H
+v_433 = lambda k, M, CH3, H, CH2NH2, NH2 : k[433]*CH3*NH2 - k[434]*CH2NH2*H
#CH3NH2 + CH3 -> CH2NH2 + CH4
-v_437 = lambda k, M, CH3NH2, CH2NH2, CH4, CH3 : k[437]*CH3NH2*CH3 - k[438]*CH2NH2*CH4
+v_435 = lambda k, M, CH3, CH3NH2, CH2NH2, CH4 : k[435]*CH3NH2*CH3 - k[436]*CH2NH2*CH4
#N2H3 + H -> NH2 + NH2
-v_439 = lambda k, M, NH2, N2H3, H : k[439]*N2H3*H - k[440]*NH2*NH2
+v_437 = lambda k, M, N2H3, H, NH2 : k[437]*N2H3*H - k[438]*NH2*NH2
#CH + H2O -> H2CO + H
-v_441 = lambda k, M, H, H2O, H2CO, CH : k[441]*CH*H2O - k[442]*H2CO*H
+v_439 = lambda k, M, H2CO, CH, H, H2O : k[439]*CH*H2O - k[440]*H2CO*H
#O + C2H5 -> CH3CHO + H
-v_443 = lambda k, M, C2H5, CH3CHO, O, H : k[443]*O*C2H5 - k[444]*CH3CHO*H
+v_441 = lambda k, M, O, CH3CHO, C2H5, H : k[441]*O*C2H5 - k[442]*CH3CHO*H
#CH3CHO + H -> H2 + CH3CO
-v_445 = lambda k, M, CH3CHO, H2, CH3CO, H : k[445]*CH3CHO*H - k[446]*H2*CH3CO
+v_443 = lambda k, M, H, CH3CHO, H2, CH3CO : k[443]*CH3CHO*H - k[444]*H2*CH3CO
#NH + OH -> HNO + H
-v_447 = lambda k, M, NH, OH, HNO, H : k[447]*NH*OH - k[448]*HNO*H
+v_445 = lambda k, M, OH, HNO, NH, H : k[445]*NH*OH - k[446]*HNO*H
#HNO + OH -> NO + H2O
-v_449 = lambda k, M, OH, HNO, H2O, NO : k[449]*HNO*OH - k[450]*NO*H2O
+v_447 = lambda k, M, OH, HNO, NO, H2O : k[447]*HNO*OH - k[448]*NO*H2O
#HNO + O -> NO + OH
-v_451 = lambda k, M, OH, O, HNO, NO : k[451]*HNO*O - k[452]*NO*OH
+v_449 = lambda k, M, OH, HNO, NO, O : k[449]*HNO*O - k[450]*NO*OH
#HNO + H -> NO + H2
-v_453 = lambda k, M, HNO, H2, NO, H : k[453]*HNO*H - k[454]*NO*H2
+v_451 = lambda k, M, HNO, H2, NO, H : k[451]*HNO*H - k[452]*NO*H2
#NO + CH3O -> HNO + H2CO
-v_455 = lambda k, M, HNO, NO, CH3O, H2CO : k[455]*NO*CH3O - k[456]*HNO*H2CO
+v_453 = lambda k, M, CH3O, HNO, NO, H2CO : k[453]*NO*CH3O - k[454]*HNO*H2CO
#NO + HCO -> HNO + CO
-v_457 = lambda k, M, CO, HNO, NO, HCO : k[457]*NO*HCO - k[458]*HNO*CO
+v_455 = lambda k, M, HNO, HCO, NO, CO : k[455]*NO*HCO - k[456]*HNO*CO
#HNO2 + OH -> NO2 + H2O
-v_459 = lambda k, M, H2O, OH, HNO2, NO2 : k[459]*HNO2*OH - k[460]*NO2*H2O
+v_457 = lambda k, M, HNO2, NO2, OH, H2O : k[457]*HNO2*OH - k[458]*NO2*H2O
#HNO2 + H -> HNO + OH
-v_461 = lambda k, M, OH, HNO, HNO2, H : k[461]*HNO2*H - k[462]*HNO*OH
+v_459 = lambda k, M, HNO2, H, OH, HNO : k[459]*HNO2*H - k[460]*HNO*OH
#HNO2 + H -> NO2 + H2
-v_463 = lambda k, M, H2, NO2, HNO2, H : k[463]*HNO2*H - k[464]*NO2*H2
+v_461 = lambda k, M, HNO2, H, NO2, H2 : k[461]*HNO2*H - k[462]*NO2*H2
#HNO2 + H -> NO + H2O
-v_465 = lambda k, M, H2O, HNO2, NO, H : k[465]*HNO2*H - k[466]*NO*H2O
+v_463 = lambda k, M, HNO2, H, NO, H2O : k[463]*HNO2*H - k[464]*NO*H2O
#NH2 + HNO -> NO + NH3
-v_467 = lambda k, M, NH3, NH2, HNO, NO : k[467]*NH2*HNO - k[468]*NO*NH3
+v_465 = lambda k, M, HNO, NH3, NO, NH2 : k[465]*NH2*HNO - k[466]*NO*NH3
#NCO + HCN -> HNCO + CN
-v_469 = lambda k, M, HNCO, NCO, CN, HCN : k[469]*NCO*HCN - k[470]*HNCO*CN
+v_467 = lambda k, M, NCO, HCN, CN, HNCO : k[467]*NCO*HCN - k[468]*HNCO*CN
#NCO + NH2 -> HNCO + NH
-v_471 = lambda k, M, HNCO, NH2, NCO, NH : k[471]*NCO*NH2 - k[472]*HNCO*NH
+v_469 = lambda k, M, NCO, NH, HNCO, NH2 : k[469]*NCO*NH2 - k[470]*HNCO*NH
#NCO + HCO -> HNCO + CO
-v_473 = lambda k, M, HNCO, CO, NCO, HCO : k[473]*NCO*HCO - k[474]*HNCO*CO
+v_471 = lambda k, M, NCO, HCO, HNCO, CO : k[471]*NCO*HCO - k[472]*HNCO*CO
#CN + CO2 -> CO + NCO
-v_475 = lambda k, M, NCO, CO2, CN, CO : k[475]*CN*CO2 - k[476]*CO*NCO
+v_473 = lambda k, M, NCO, CN, CO, CO2 : k[473]*CN*CO2 - k[474]*CO*NCO
#HCN + O -> NCO + H
-v_477 = lambda k, M, O, NCO, H, HCN : k[477]*HCN*O - k[478]*NCO*H
+v_475 = lambda k, M, NCO, HCN, H, O : k[475]*HCN*O - k[476]*NCO*H
#CN + OH -> NCO + H
-v_479 = lambda k, M, OH, NCO, CN, H : k[479]*CN*OH - k[480]*NCO*H
+v_477 = lambda k, M, OH, H, NCO, CN : k[477]*CN*OH - k[478]*NCO*H
#HNCO + H -> NCO + H2
-v_481 = lambda k, M, HNCO, H2, NCO, H : k[481]*HNCO*H - k[482]*NCO*H2
+v_479 = lambda k, M, HNCO, H, NCO, H2 : k[479]*HNCO*H - k[480]*NCO*H2
#HNCO + O -> NCO + OH
-v_483 = lambda k, M, HNCO, O, NCO, OH : k[483]*HNCO*O - k[484]*NCO*OH
+v_481 = lambda k, M, HNCO, O, NCO, OH : k[481]*HNCO*O - k[482]*NCO*OH
#HNCO + OH -> NCO + H2O
-v_485 = lambda k, M, HNCO, OH, NCO, H2O : k[485]*HNCO*OH - k[486]*NCO*H2O
+v_483 = lambda k, M, HNCO, NCO, OH, H2O : k[483]*HNCO*OH - k[484]*NCO*H2O
#N2H3 + NH -> N2H2 + NH2
-v_487 = lambda k, M, NH, NH2, N2H3, N2H2 : k[487]*N2H3*NH - k[488]*N2H2*NH2
+v_485 = lambda k, M, N2H3, NH, NH2, N2H2 : k[485]*N2H3*NH - k[486]*N2H2*NH2
#NH2 + H2CN -> NH3 + HCN
-v_489 = lambda k, M, NH3, NH2, H2CN, HCN : k[489]*NH2*H2CN - k[490]*NH3*HCN
+v_487 = lambda k, M, HCN, NH3, H2CN, NH2 : k[487]*NH2*H2CN - k[488]*NH3*HCN
#NH + NH2 -> NH3 + N
-v_491 = lambda k, M, NH, NH2, NH3, N : k[491]*NH*NH2 - k[492]*NH3*N
+v_489 = lambda k, M, N, NH3, NH, NH2 : k[489]*NH*NH2 - k[490]*NH3*N
#NH2 + O -> HNO + H
-v_493 = lambda k, M, NH2, O, HNO, H : k[493]*NH2*O - k[494]*HNO*H
+v_491 = lambda k, M, O, H, NH2, HNO : k[491]*NH2*O - k[492]*HNO*H
#H2 + HNO -> NH + H2O
-v_495 = lambda k, M, NH, HNO, H2, H2O : k[495]*H2*HNO - k[496]*NH*H2O
+v_493 = lambda k, M, HNO, NH, H2, H2O : k[493]*H2*HNO - k[494]*NH*H2O
#HO2 + H -> OH + OH
-v_497 = lambda k, M, OH, HO2, H : k[497]*HO2*H - k[498]*OH*OH
+v_495 = lambda k, M, OH, H, HO2 : k[495]*HO2*H - k[496]*OH*OH
#HO2 + H -> O + H2O
-v_499 = lambda k, M, O, H2O, HO2, H : k[499]*HO2*H - k[500]*O*H2O
+v_497 = lambda k, M, H, HO2, O, H2O : k[497]*HO2*H - k[498]*O*H2O
#HO2 + H -> O2 + H2
-v_501 = lambda k, M, H2, O2, HO2, H : k[501]*HO2*H - k[502]*O2*H2
+v_499 = lambda k, M, H, H2, O2, HO2 : k[499]*HO2*H - k[500]*O2*H2
#CO + HO2 -> CO2 + OH
-v_503 = lambda k, M, OH, CO2, HO2, CO : k[503]*CO*HO2 - k[504]*CO2*OH
+v_501 = lambda k, M, OH, CO2, HO2, CO : k[501]*CO*HO2 - k[502]*CO2*OH
#O + H2O2 -> OH + HO2
-v_505 = lambda k, M, OH, O, HO2, H2O2 : k[505]*O*H2O2 - k[506]*OH*HO2
+v_503 = lambda k, M, OH, O, HO2, H2O2 : k[503]*O*H2O2 - k[504]*OH*HO2
#OH + H2O2 -> H2O + HO2
-v_507 = lambda k, M, OH, H2O, HO2, H2O2 : k[507]*OH*H2O2 - k[508]*H2O*HO2
+v_505 = lambda k, M, OH, HO2, H2O2, H2O : k[505]*OH*H2O2 - k[506]*H2O*HO2
#H2O2 + H -> H2 + HO2
-v_509 = lambda k, M, H2, HO2, H2O2, H : k[509]*H2O2*H - k[510]*H2*HO2
+v_507 = lambda k, M, H, H2, HO2, H2O2 : k[507]*H2O2*H - k[508]*H2*HO2
#H2O2 + H -> OH + H2O
-v_511 = lambda k, M, OH, H2O, H2O2, H : k[511]*H2O2*H - k[512]*OH*H2O
+v_509 = lambda k, M, OH, H, H2O2, H2O : k[509]*H2O2*H - k[510]*OH*H2O
#O + HO2 -> OH + O2
-v_513 = lambda k, M, OH, O, O2, HO2 : k[513]*O*HO2 - k[514]*OH*O2
+v_511 = lambda k, M, OH, O, O2, HO2 : k[511]*O*HO2 - k[512]*OH*O2
-#O2 + CH4 -> CH3 + HO2
-v_515 = lambda k, M, CH4, O2, CH3, HO2 : k[515]*O2*CH4 - k[516]*CH3*HO2
+#CH3 + HO2 -> CH4 + O2
+v_513 = lambda k, M, CH3, O2, HO2, CH4 : k[513]*CH3*HO2 - k[514]*CH4*O2
-#O2 + C2H6 -> C2H5 + HO2
-v_517 = lambda k, M, C2H5, C2H6, O2, HO2 : k[517]*O2*C2H6 - k[518]*C2H5*HO2
+#C2H5 + HO2 -> C2H6 + O2
+v_515 = lambda k, M, C2H6, O2, C2H5, HO2 : k[515]*C2H5*HO2 - k[516]*C2H6*O2
#HCO + O2 -> CO + HO2
-v_519 = lambda k, M, CO, O2, HO2, HCO : k[519]*HCO*O2 - k[520]*CO*HO2
+v_517 = lambda k, M, HO2, HCO, O2, CO : k[517]*HCO*O2 - k[518]*CO*HO2
#OH + HO2 -> H2O + O2
-v_521 = lambda k, M, OH, H2O, O2, HO2 : k[521]*OH*HO2 - k[522]*H2O*O2
+v_519 = lambda k, M, OH, O2, HO2, H2O : k[519]*OH*HO2 - k[520]*H2O*O2
#H2CN + H -> HCN + H2
-v_523 = lambda k, M, H2, H2CN, H, HCN : k[523]*H2CN*H - k[524]*HCN*H2
+v_521 = lambda k, M, H, H2, H2CN, HCN : k[521]*H2CN*H - k[522]*HCN*H2
#CN + C2H2 -> HC3N + H
-v_525 = lambda k, M, H, CN, C2H2, HC3N : k[525]*CN*C2H2 - k[526]*HC3N*H
+v_523 = lambda k, M, HC3N, C2H2, CN, H : k[523]*CN*C2H2 - k[524]*HC3N*H
#HCN + C2H -> HC3N + H
-v_527 = lambda k, M, H, C2H, HC3N, HCN : k[527]*HCN*C2H - k[528]*HC3N*H
+v_525 = lambda k, M, C2H, HCN, HC3N, H : k[525]*HCN*C2H - k[526]*HC3N*H
#H + CH3CN -> HCN + CH3
-v_529 = lambda k, M, CH3CN, CH3, H, HCN : k[529]*H*CH3CN - k[530]*HCN*CH3
+v_527 = lambda k, M, CH3, H, HCN, CH3CN : k[527]*H*CH3CN - k[528]*HCN*CH3
#H + CH3CN -> CH2CN + H2
-v_531 = lambda k, M, H2, CH3CN, CH2CN, H : k[531]*H*CH3CN - k[532]*CH2CN*H2
+v_529 = lambda k, M, H, H2, CH3CN, CH2CN : k[529]*H*CH3CN - k[530]*CH2CN*H2
#CH3CN + OH -> CH2CN + H2O
-v_533 = lambda k, M, OH, CH3CN, CH2CN, H2O : k[533]*CH3CN*OH - k[534]*CH2CN*H2O
+v_531 = lambda k, M, OH, CH3CN, H2O, CH2CN : k[531]*CH3CN*OH - k[532]*CH2CN*H2O
#CH3CN + O -> CH2CN + OH
-v_535 = lambda k, M, OH, O, CH3CN, CH2CN : k[535]*CH3CN*O - k[536]*CH2CN*OH
+v_533 = lambda k, M, OH, CH3CN, O, CH2CN : k[533]*CH3CN*O - k[534]*CH2CN*OH
#CN + C2H4 -> C2H3CN + H
-v_537 = lambda k, M, C2H4, C2H3CN, CN, H : k[537]*CN*C2H4 - k[538]*C2H3CN*H
+v_535 = lambda k, M, C2H3CN, H, CN, C2H4 : k[535]*CN*C2H4 - k[536]*C2H3CN*H
#HCN + C2H3 -> C2H3CN + H
-v_539 = lambda k, M, C2H3CN, C2H3, H, HCN : k[539]*HCN*C2H3 - k[540]*C2H3CN*H
+v_537 = lambda k, M, C2H3CN, HCN, C2H3, H : k[537]*HCN*C2H3 - k[538]*C2H3CN*H
#C2H3CN + C2 -> HCN + C4H2
-v_541 = lambda k, M, C4H2, C2H3CN, C2, HCN : k[541]*C2H3CN*C2 - k[542]*HCN*C4H2
+v_539 = lambda k, M, C2H3CN, HCN, C2, C4H2 : k[539]*C2H3CN*C2 - k[540]*HCN*C4H2
#C2H3CN + C2 -> HC3N + C2H2
-v_543 = lambda k, M, C2H2, C2H3CN, HC3N, C2 : k[543]*C2H3CN*C2 - k[544]*HC3N*C2H2
+v_541 = lambda k, M, C2H3CN, HC3N, C2, C2H2 : k[541]*C2H3CN*C2 - k[542]*HC3N*C2H2
#N + C2H3 -> CH2CN + H
-v_545 = lambda k, M, N, C2H3, H, CH2CN : k[545]*N*C2H3 - k[546]*CH2CN*H
+v_543 = lambda k, M, C2H3, H, N, CH2CN : k[543]*N*C2H3 - k[544]*CH2CN*H
+
+
+#CH2CN + O -> HCN + HCO
+v_545 = lambda k, M, HCO, O, HCN, CH2CN : k[545]*CH2CN*O - k[546]*HCN*HCO
#HO2 + CH4 -> CH3 + H2O2
-v_547 = lambda k, M, H2O2, CH4, HO2, CH3 : k[547]*HO2*CH4 - k[548]*CH3*H2O2
+v_547 = lambda k, M, CH3, H2O2, HO2, CH4 : k[547]*HO2*CH4 - k[548]*CH3*H2O2
#HO2 + NH2 -> NH3 + O2
-v_549 = lambda k, M, NH3, NH2, O2, HO2 : k[549]*HO2*NH2 - k[550]*NH3*O2
+v_549 = lambda k, M, NH3, O2, HO2, NH2 : k[549]*HO2*NH2 - k[550]*NH3*O2
#N + NH3 -> N2H + H2
-v_551 = lambda k, M, NH3, N2H, N, H2 : k[551]*N*NH3 - k[552]*N2H*H2
+v_551 = lambda k, M, N2H, NH3, H2, N : k[551]*N*NH3 - k[552]*N2H*H2
#C2H + C2H5 -> C3H3 + CH3
-v_553 = lambda k, M, C2H5, C3H3, CH3, C2H : k[553]*C2H*C2H5 - k[554]*C3H3*CH3
+v_553 = lambda k, M, C2H, C3H3, CH3, C2H5 : k[553]*C2H*C2H5 - k[554]*C3H3*CH3
#C2H3 + C2H3 -> CH3 + C3H3
-v_555 = lambda k, M, C3H3, CH3, C2H3 : k[555]*C2H3*C2H3 - k[556]*CH3*C3H3
+v_555 = lambda k, M, CH3, C2H3, C3H3 : k[555]*C2H3*C2H3 - k[556]*CH3*C3H3
#C3H3 + OH -> HCO + C2H3
-v_557 = lambda k, M, C3H3, OH, C2H3, HCO : k[557]*C3H3*OH - k[558]*HCO*C2H3
+v_557 = lambda k, M, OH, C3H3, C2H3, HCO : k[557]*C3H3*OH - k[558]*HCO*C2H3
#CH2OH + C2H -> OH + C3H3
-v_559 = lambda k, M, CH2OH, OH, C3H3, C2H : k[559]*CH2OH*C2H - k[560]*OH*C3H3
+v_559 = lambda k, M, C2H, CH2OH, C3H3, OH : k[559]*CH2OH*C2H - k[560]*OH*C3H3
#N + C3H3 -> HC3N + H2
-v_561 = lambda k, M, H2, C3H3, N, HC3N : k[561]*N*C3H3 - k[562]*HC3N*H2
+v_561 = lambda k, M, C3H3, HC3N, H2, N : k[561]*N*C3H3 - k[562]*HC3N*H2
#N + C3H2 -> HC3N + H
-v_563 = lambda k, M, C3H2, N, HC3N, H : k[563]*N*C3H2 - k[564]*HC3N*H
+v_563 = lambda k, M, HC3N, C3H2, H, N : k[563]*N*C3H2 - k[564]*HC3N*H
#CH2 + C2H2 -> C3H2 + H2
-v_565 = lambda k, M, C3H2, H2, CH2, C2H2 : k[565]*CH2*C2H2 - k[566]*C3H2*H2
+v_565 = lambda k, M, CH2, H2, C2H2, C3H2 : k[565]*CH2*C2H2 - k[566]*C3H2*H2
#CH2 + C2H2 -> C3H3 + H
-v_567 = lambda k, M, C3H3, H, CH2, C2H2 : k[567]*CH2*C2H2 - k[568]*C3H3*H
+v_567 = lambda k, M, CH2, C2H2, H, C3H3 : k[567]*CH2*C2H2 - k[568]*C3H3*H
#CH2 + C2H -> C3H2 + H
-v_569 = lambda k, M, C3H2, CH2, C2H, H : k[569]*CH2*C2H - k[570]*C3H2*H
+v_569 = lambda k, M, C2H, CH2, H, C3H2 : k[569]*CH2*C2H - k[570]*C3H2*H
#CH + C2H2 -> C3H2 + H
-v_571 = lambda k, M, C2H2, H, C3H2, CH : k[571]*CH*C2H2 - k[572]*C3H2*H
+v_571 = lambda k, M, CH, C2H2, H, C3H2 : k[571]*CH*C2H2 - k[572]*C3H2*H
#CH3 + C2H -> C3H3 + H
-v_573 = lambda k, M, C3H3, H, CH3, C2H : k[573]*CH3*C2H - k[574]*C3H3*H
+v_573 = lambda k, M, CH3, C3H3, C2H, H : k[573]*CH3*C2H - k[574]*C3H3*H
+
+
+#NH3 + NH2 -> N2H3 + H2
+v_575 = lambda k, M, N2H3, NH2, H2, NH3 : k[575]*NH3*NH2 - k[576]*N2H3*H2
+
+
+#N2H3 + N2H -> N2H2 + N2H2
+v_577 = lambda k, M, N2H3, N2H, N2H2 : k[577]*N2H3*N2H - k[578]*N2H2*N2H2
+
+
+#N2H3 + CH3 -> N2H2 + CH4
+v_579 = lambda k, M, N2H3, CH3, CH4, N2H2 : k[579]*N2H3*CH3 - k[580]*N2H2*CH4
+
+
+#CH3 + C2H2 -> C3H4 + H
+v_581 = lambda k, M, CH3, H, C2H2, C3H4 : k[581]*CH3*C2H2 - k[582]*C3H4*H
+
+
+#CH + C3H3 -> C4H3 + H
+v_583 = lambda k, M, CH, C4H3, C3H3, H : k[583]*CH*C3H3 - k[584]*C4H3*H
+
+
+#C2H + C2H5 -> C4H5 + H
+v_585 = lambda k, M, C2H, C4H5, C2H5, H : k[585]*C2H*C2H5 - k[586]*C4H5*H
+
+
+#C2H2 + C4H5 -> C6H6 + H
+v_587 = lambda k, M, C4H5, H, C2H2, C6H6 : k[587]*C2H2*C4H5 - k[588]*C6H6*H
+
+
+#C6H5 + H2 -> C6H6 + H
+v_589 = lambda k, M, C6H6, H2, C6H5, H : k[589]*C6H5*H2 - k[590]*C6H6*H
+
+
+#C6H5 + CH4 -> C6H6 + CH3
+v_591 = lambda k, M, CH3, C6H6, C6H5, CH4 : k[591]*C6H5*CH4 - k[592]*C6H6*CH3
+
+
+#C + C2H2 -> C3H2
+v_593 = lambda k, M, C2H2, C3H2, C : k[593]*C*C2H2 - k[594]*C3H2
+
+
+#O + C2H4 -> H2CO + CH2
+v_595 = lambda k, M, H2CO, O, CH2, C2H4 : k[595]*O*C2H4 - k[596]*H2CO*CH2
+
+
+#O + C2H3 -> HCO + CH2
+v_597 = lambda k, M, O, C2H3, HCO, CH2 : k[597]*O*C2H3 - k[598]*HCO*CH2
+
+
+#CH3OH + OH -> CH3O + H2O
+v_599 = lambda k, M, CH3OH, CH3O, OH, H2O : k[599]*CH3OH*OH - k[600]*CH3O*H2O
+
+
+#CH3OH + OH -> CH2OH + H2O
+v_601 = lambda k, M, CH3OH, CH2OH, OH, H2O : k[601]*CH3OH*OH - k[602]*CH2OH*H2O
+
+
+#HO2 + NO -> OH + NO2
+v_603 = lambda k, M, OH, NO2, NO, HO2 : k[603]*HO2*NO - k[604]*OH*NO2
+
+
+#O2 + H2CO -> HO2 + HCO
+v_605 = lambda k, M, H2CO, HCO, O2, HO2 : k[605]*O2*H2CO - k[606]*HO2*HCO
+
+
+#N + NO2 -> N2O + O
+v_607 = lambda k, M, O, NO2, N, N2O : k[607]*N*NO2 - k[608]*N2O*O
+
+
+#CH3O + O2 -> H2CO + HO2
+v_609 = lambda k, M, CH3O, H2CO, O2, HO2 : k[609]*CH3O*O2 - k[610]*H2CO*HO2
+
+
+#CH3 + CN -> CH2CN + H
+v_611 = lambda k, M, CH3, H, CN, CH2CN : k[611]*CH3*CN - k[612]*CH2CN*H
+
+
+#HO2 + HO2 -> H2O2 + O2
+v_613 = lambda k, M, O2, HO2, H2O2 : k[613]*HO2*HO2 - k[614]*H2O2*O2
+
+
+#O_1 + C2H6 -> C2H5 + OH
+v_615 = lambda k, M, OH, O_1, C2H6, C2H5 : k[615]*O_1*C2H6 - k[616]*C2H5*OH
#O_1 + H2 -> OH + H
-v_575 = lambda k, M, OH, H2, O_1, H : k[575]*O_1*H2 - k[576]*OH*H
+v_617 = lambda k, M, OH, O_1, H2, H : k[617]*O_1*H2 - k[618]*OH*H
#O_1 + CH4 -> OH + CH3
-v_577 = lambda k, M, OH, CH4, O_1, CH3 : k[577]*O_1*CH4 - k[578]*OH*CH3
+v_619 = lambda k, M, OH, O_1, CH3, CH4 : k[619]*O_1*CH4 - k[620]*OH*CH3
#O_1 + H2O -> OH + OH
-v_579 = lambda k, M, OH, H2O, O_1 : k[579]*O_1*H2O - k[580]*OH*OH
+v_621 = lambda k, M, OH, O_1, H2O : k[621]*O_1*H2O - k[622]*OH*OH
#O_1 + CO2 -> O + CO2
-v_581 = lambda k, M, O, CO2, O_1 : k[581]*O_1*CO2 - k[582]*O*CO2
+v_623 = lambda k, M, O_1, O, CO2 : k[623]*O_1*CO2 - k[624]*O*CO2
#O_1 + NH3 -> OH + NH2
-v_583 = lambda k, M, NH3, NH2, OH, O_1 : k[583]*O_1*NH3 - k[584]*OH*NH2
+v_625 = lambda k, M, OH, O_1, NH2, NH3 : k[625]*O_1*NH3 - k[626]*OH*NH2
#O_1 + CO -> CO2
-v_585 = lambda k, M, CO2, O_1, CO : k[585]*O_1*CO - k[586]*CO2
+v_627 = lambda k, M, O_1, CO2, CO : k[627]*O_1*CO - k[628]*CO2
#O_1 + NO2 -> O2 + NO
-v_587 = lambda k, M, NO, O2, O_1, NO2 : k[587]*O_1*NO2 - k[588]*O2*NO
+v_629 = lambda k, M, O_1, NO2, NO, O2 : k[629]*O_1*NO2 - k[630]*O2*NO
+
+
+#O_1 + N2 -> O + N2
+v_631 = lambda k, M, O_1, N2, O : k[631]*O_1*N2 - k[632]*O*N2
#CH2_1 + H2 -> CH3 + H
-v_589 = lambda k, M, CH2_1, H2, CH3, H : k[589]*CH2_1*H2 - k[590]*CH3*H
+v_633 = lambda k, M, CH3, H, H2, CH2_1 : k[633]*CH2_1*H2 - k[634]*CH3*H
#CH2_1 + H2 -> CH2 + H2
-v_591 = lambda k, M, CH2_1, CH2, H2 : k[591]*CH2_1*H2 - k[592]*CH2*H2
+v_635 = lambda k, M, CH2, H2, CH2_1 : k[635]*CH2_1*H2 - k[636]*CH2*H2
#CH2_1 + H2O -> CH2 + H2O
-v_593 = lambda k, M, CH2_1, CH2, H2O : k[593]*CH2_1*H2O - k[594]*CH2*H2O
+v_637 = lambda k, M, CH2, H2O, CH2_1 : k[637]*CH2_1*H2O - k[638]*CH2*H2O
#CH2_1 + CO -> CH2 + CO
-v_595 = lambda k, M, CH2_1, CH2, CO : k[595]*CH2_1*CO - k[596]*CH2*CO
+v_639 = lambda k, M, CH2, CO, CH2_1 : k[639]*CH2_1*CO - k[640]*CH2*CO
#CH2_1 + C2H2 -> C3H3 + H
-v_597 = lambda k, M, CH2_1, C3H3, H, C2H2 : k[597]*CH2_1*C2H2 - k[598]*C3H3*H
+v_641 = lambda k, M, C3H3, C2H2, H, CH2_1 : k[641]*CH2_1*C2H2 - k[642]*C3H3*H
#N_2D + H2 -> NH + H
-v_599 = lambda k, M, H2, H, N_2D, NH : k[599]*N_2D*H2 - k[600]*NH*H
+v_643 = lambda k, M, N_2D, H, NH, H2 : k[643]*N_2D*H2 - k[644]*NH*H
#N_2D + H2O -> NH + OH
-v_601 = lambda k, M, NH, OH, N_2D, H2O : k[601]*N_2D*H2O - k[602]*NH*OH
+v_645 = lambda k, M, N_2D, NH, OH, H2O : k[645]*N_2D*H2O - k[646]*NH*OH
#N_2D + NH3 -> NH + NH2
-v_603 = lambda k, M, NH3, NH2, N_2D, NH : k[603]*N_2D*NH3 - k[604]*NH*NH2
+v_647 = lambda k, M, N_2D, NH2, NH, NH3 : k[647]*N_2D*NH3 - k[648]*NH*NH2
+
+
+#N_2D + O2 -> NO + O
+v_649 = lambda k, M, N_2D, O, NO, O2 : k[649]*N_2D*O2 - k[650]*NO*O
+
+
+#N_2D + N2O -> N2 + NO
+v_651 = lambda k, M, N_2D, N2, NO, N2O : k[651]*N_2D*N2O - k[652]*N2*NO
+
+
+#OH + CH3 -> CH2_1 + H2O
+v_653 = lambda k, M, OH, CH3, H2O, CH2_1 : k[653]*OH*CH3 - k[654]*CH2_1*H2O
#He -> He
-v_605 = lambda k, M, He : k[605]*He - k[606]*He
+v_655 = lambda k, M, He : k[655]*He - k[656]*He
#H + H + M -> H2 + M
-v_607 = lambda k, M, H2, H : k[607]*H*H*M - k[608]*H2*M
+v_657 = lambda k, M, H, H2 : k[657]*H*H*M - k[658]*H2*M
#H + O + M -> OH + M
-v_609 = lambda k, M, O, H, OH : k[609]*H*O*M - k[610]*OH*M
+v_659 = lambda k, M, OH, H, O : k[659]*H*O*M - k[660]*OH*M
#OH + H + M -> H2O + M
-v_611 = lambda k, M, OH, H2O, H : k[611]*OH*H*M - k[612]*H2O*M
+v_661 = lambda k, M, OH, H, H2O : k[661]*OH*H*M - k[662]*H2O*M
#H + CH + M -> CH2 + M
-v_613 = lambda k, M, CH2, H, CH : k[613]*H*CH*M - k[614]*CH2*M
+v_663 = lambda k, M, H, CH, CH2 : k[663]*H*CH*M - k[664]*CH2*M
#H + CH3 + M -> CH4 + M
-v_615 = lambda k, M, CH4, CH3, H : k[615]*H*CH3*M - k[616]*CH4*M
+v_665 = lambda k, M, CH3, H, CH4 : k[665]*H*CH3*M - k[666]*CH4*M
#H + C2H2 + M -> C2H3 + M
-v_617 = lambda k, M, C2H2, C2H3, H : k[617]*H*C2H2*M - k[618]*C2H3*M
+v_667 = lambda k, M, C2H3, H, C2H2 : k[667]*H*C2H2*M - k[668]*C2H3*M
#H + C2H3 + M -> C2H4 + M
-v_619 = lambda k, M, C2H4, C2H3, H : k[619]*H*C2H3*M - k[620]*C2H4*M
+v_669 = lambda k, M, H, C2H3, C2H4 : k[669]*H*C2H3*M - k[670]*C2H4*M
#H + C2H4 + M -> C2H5 + M
-v_621 = lambda k, M, C2H4, H, C2H5 : k[621]*H*C2H4*M - k[622]*C2H5*M
+v_671 = lambda k, M, H, C2H5, C2H4 : k[671]*H*C2H4*M - k[672]*C2H5*M
#H + C2H5 + M -> C2H6 + M
-v_623 = lambda k, M, C2H5, C2H6, H : k[623]*H*C2H5*M - k[624]*C2H6*M
+v_673 = lambda k, M, H, C2H6, C2H5 : k[673]*H*C2H5*M - k[674]*C2H6*M
#H2 + C + M -> CH2 + M
-v_625 = lambda k, M, C, CH2, H2 : k[625]*H2*C*M - k[626]*CH2*M
+v_675 = lambda k, M, CH2, H2, C : k[675]*H2*C*M - k[676]*CH2*M
#CH + M -> C + H + M
-v_627 = lambda k, M, H, CH, C : k[627]*CH*M - k[628]*C*H*M
+v_677 = lambda k, M, CH, H, C : k[677]*CH*M - k[678]*C*H*M
#CH2 + H + M -> CH3 + M
-v_629 = lambda k, M, CH2, CH3, H : k[629]*CH2*H*M - k[630]*CH3*M
+v_679 = lambda k, M, CH3, CH2, H : k[679]*CH2*H*M - k[680]*CH3*M
#CH + H2 + M -> CH3 + M
-v_631 = lambda k, M, H2, CH3, CH : k[631]*CH*H2*M - k[632]*CH3*M
+v_681 = lambda k, M, CH3, CH, H2 : k[681]*CH*H2*M - k[682]*CH3*M
#CH3 + CH3 + M -> C2H6 + M
-v_633 = lambda k, M, C2H6, CH3 : k[633]*CH3*CH3*M - k[634]*C2H6*M
+v_683 = lambda k, M, CH3, C2H6 : k[683]*CH3*CH3*M - k[684]*C2H6*M
#C2H + H + M -> C2H2 + M
-v_635 = lambda k, M, C2H2, C2H, H : k[635]*C2H*H*M - k[636]*C2H2*M
+v_685 = lambda k, M, C2H, H, C2H2 : k[685]*C2H*H*M - k[686]*C2H2*M
#C2H4 + M -> C2H2 + H2 + M
-v_637 = lambda k, M, H2, C2H4, C2H2 : k[637]*C2H4*M - k[638]*C2H2*H2*M
+v_687 = lambda k, M, H2, C2H2, C2H4 : k[687]*C2H4*M - k[688]*C2H2*H2*M
#C2H6 + M -> C2H4 + H2 + M
-v_639 = lambda k, M, C2H6, H2, C2H4 : k[639]*C2H6*M - k[640]*C2H4*H2*M
+v_689 = lambda k, M, H2, C2H6, C2H4 : k[689]*C2H6*M - k[690]*C2H4*H2*M
#CO + O + M -> CO2 + M
-v_641 = lambda k, M, O, CO2, CO : k[641]*CO*O*M - k[642]*CO2*M
+v_691 = lambda k, M, O, CO2, CO : k[691]*CO*O*M - k[692]*CO2*M
#CH2OH + M -> H + H2CO + M
-v_643 = lambda k, M, CH2OH, H2CO, H : k[643]*CH2OH*M - k[644]*H*H2CO*M
+v_693 = lambda k, M, H2CO, CH2OH, H : k[693]*CH2OH*M - k[694]*H*H2CO*M
#H + CO + M -> HCO + M
-v_645 = lambda k, M, CO, HCO, H : k[645]*H*CO*M - k[646]*HCO*M
+v_695 = lambda k, M, H, HCO, CO : k[695]*H*CO*M - k[696]*HCO*M
#H2O + CH + M -> CH2OH + M
-v_647 = lambda k, M, CH2OH, H2O, CH : k[647]*H2O*CH*M - k[648]*CH2OH*M
+v_697 = lambda k, M, CH, CH2OH, H2O : k[697]*H2O*CH*M - k[698]*CH2OH*M
#CH3O + M -> H + H2CO + M
-v_649 = lambda k, M, H2CO, CH3O, H : k[649]*CH3O*M - k[650]*H*H2CO*M
+v_699 = lambda k, M, CH3O, H, H2CO : k[699]*CH3O*M - k[700]*H*H2CO*M
#CH2OH + H + M -> CH3OH + M
-v_651 = lambda k, M, CH2OH, CH3OH, H : k[651]*CH2OH*H*M - k[652]*CH3OH*M
+v_701 = lambda k, M, CH3OH, CH2OH, H : k[701]*CH2OH*H*M - k[702]*CH3OH*M
#OH + C2H2 + M -> CH3CO + M
-v_653 = lambda k, M, OH, CH3CO, C2H2 : k[653]*OH*C2H2*M - k[654]*CH3CO*M
+v_703 = lambda k, M, OH, C2H2, CH3CO : k[703]*OH*C2H2*M - k[704]*CH3CO*M
#CO + CH3 + M -> CH3CO + M
-v_655 = lambda k, M, CH3CO, CH3, CO : k[655]*CO*CH3*M - k[656]*CH3CO*M
+v_705 = lambda k, M, CH3, CH3CO, CO : k[705]*CO*CH3*M - k[706]*CH3CO*M
#HCO + H + M -> H2CO + M
-v_657 = lambda k, M, H, H2CO, HCO : k[657]*HCO*H*M - k[658]*H2CO*M
+v_707 = lambda k, M, H2CO, H, HCO : k[707]*HCO*H*M - k[708]*H2CO*M
#CO + H2 + M -> H2CO + M
-v_659 = lambda k, M, H2, H2CO, CO : k[659]*CO*H2*M - k[660]*H2CO*M
+v_709 = lambda k, M, H2CO, H2, CO : k[709]*CO*H2*M - k[710]*H2CO*M
#H + NH2 + M -> NH3 + M
-v_661 = lambda k, M, NH2, NH3, H : k[661]*H*NH2*M - k[662]*NH3*M
+v_711 = lambda k, M, H, NH3, NH2 : k[711]*H*NH2*M - k[712]*NH3*M
#H + CN + M -> HCN + M
-v_663 = lambda k, M, CN, H, HCN : k[663]*H*CN*M - k[664]*HCN*M
+v_713 = lambda k, M, H, CN, HCN : k[713]*H*CN*M - k[714]*HCN*M
#H2 + N + M -> NH2 + M
-v_665 = lambda k, M, N, H2, NH2 : k[665]*H2*N*M - k[666]*NH2*M
+v_715 = lambda k, M, NH2, H2, N : k[715]*H2*N*M - k[716]*NH2*M
#N + N + M -> N2 + M
-v_667 = lambda k, M, N, N2 : k[667]*N*N*M - k[668]*N2*M
+v_717 = lambda k, M, N2, N : k[717]*N*N*M - k[718]*N2*M
#N2H3 + M -> N2H2 + H + M
-v_669 = lambda k, M, N2H3, N2H2, H : k[669]*N2H3*M - k[670]*N2H2*H*M
+v_719 = lambda k, M, N2H3, H, N2H2 : k[719]*N2H3*M - k[720]*N2H2*H*M
#HCN + H + M -> H2CN + M
-v_671 = lambda k, M, H2CN, H, HCN : k[671]*HCN*H*M - k[672]*H2CN*M
+v_721 = lambda k, M, HCN, H2CN, H : k[721]*HCN*H*M - k[722]*H2CN*M
#HNCO + M -> CO + NH + M
-v_673 = lambda k, M, HNCO, CO, NH : k[673]*HNCO*M - k[674]*CO*NH*M
+v_723 = lambda k, M, HNCO, NH, CO : k[723]*HNCO*M - k[724]*CO*NH*M
#NH2 + NH2 + M -> N2H4 + M
-v_675 = lambda k, M, NH2, N2H4 : k[675]*NH2*NH2*M - k[676]*N2H4*M
+v_725 = lambda k, M, N2H4, NH2 : k[725]*NH2*NH2*M - k[726]*N2H4*M
#NO + O + M -> NO2 + M
-v_677 = lambda k, M, O, NO, NO2 : k[677]*NO*O*M - k[678]*NO2*M
+v_727 = lambda k, M, O, NO2, NO : k[727]*NO*O*M - k[728]*NO2*M
#N2O + M -> N2 + O + M
-v_679 = lambda k, M, O, N2O, N2 : k[679]*N2O*M - k[680]*N2*O*M
+v_729 = lambda k, M, N2, O, N2O : k[729]*N2O*M - k[730]*N2*O*M
#N2H + M -> N2 + H + M
-v_681 = lambda k, M, N2H, H, N2 : k[681]*N2H*M - k[682]*N2*H*M
+v_731 = lambda k, M, N2H, N2, H : k[731]*N2H*M - k[732]*N2*H*M
#NH2 + CH3 + M -> CH3NH2 + M
-v_683 = lambda k, M, NH2, CH3, CH3NH2 : k[683]*NH2*CH3*M - k[684]*CH3NH2*M
+v_733 = lambda k, M, CH3, CH3NH2, NH2 : k[733]*NH2*CH3*M - k[734]*CH3NH2*M
-#NO + H + M -> HNO + M
-v_685 = lambda k, M, HNO, NO, H : k[685]*NO*H*M - k[686]*HNO*M
+#H + NO + M -> HNO + M
+v_735 = lambda k, M, H, NO, HNO : k[735]*H*NO*M - k[736]*HNO*M
#NO + OH + M -> HNO2 + M
-v_687 = lambda k, M, OH, HNO2, NO : k[687]*NO*OH*M - k[688]*HNO2*M
+v_737 = lambda k, M, OH, HNO2, NO : k[737]*NO*OH*M - k[738]*HNO2*M
#C + C + M -> C2 + M
-v_689 = lambda k, M, C, C2 : k[689]*C*C*M - k[690]*C2*M
+v_739 = lambda k, M, C2, C : k[739]*C*C*M - k[740]*C2*M
#HO2 + HO2 + M -> H2O2 + O2 + M
-v_691 = lambda k, M, H2O2, O2, HO2 : k[691]*HO2*HO2*M - k[692]*H2O2*O2*M
+v_741 = lambda k, M, O2, HO2, H2O2 : k[741]*HO2*HO2*M - k[742]*H2O2*O2*M
#OH + OH + M -> H2O2 + M
-v_693 = lambda k, M, OH, H2O2 : k[693]*OH*OH*M - k[694]*H2O2*M
+v_743 = lambda k, M, OH, H2O2 : k[743]*OH*OH*M - k[744]*H2O2*M
#H + O2 + M -> HO2 + M
-v_695 = lambda k, M, O2, HO2, H : k[695]*H*O2*M - k[696]*HO2*M
+v_745 = lambda k, M, H, O2, HO2 : k[745]*H*O2*M - k[746]*HO2*M
#CH2CN + H + M -> CH3CN + M
-v_697 = lambda k, M, CH3CN, CH2CN, H : k[697]*CH2CN*H*M - k[698]*CH3CN*M
+v_747 = lambda k, M, H, CH3CN, CH2CN : k[747]*CH2CN*H*M - k[748]*CH3CN*M
#C3H2 + H + M -> C3H3 + M
-v_699 = lambda k, M, C3H2, C3H3, H : k[699]*C3H2*H*M - k[700]*C3H3*M
+v_749 = lambda k, M, H, C3H3, C3H2 : k[749]*C3H2*H*M - k[750]*C3H3*M
#C3H3 + C3H3 + M -> C6H6 + M
-v_701 = lambda k, M, C3H3, C6H6 : k[701]*C3H3*C3H3*M - k[702]*C6H6*M
+v_751 = lambda k, M, C3H3, C6H6 : k[751]*C3H3*C3H3*M - k[752]*C6H6*M
+
+
+#N2H2 + M -> N2H + H + M
+v_753 = lambda k, M, N2H, H, N2H2 : k[753]*N2H2*M - k[754]*N2H*H*M
+
+
+#C3H3 + H + M -> C3H4 + M
+v_755 = lambda k, M, C3H3, C3H4, H : k[755]*C3H3*H*M - k[756]*C3H4*M
+
+
+#CH2 + C2H2 + M -> C3H4 + M
+v_757 = lambda k, M, CH2, C2H2, C3H4 : k[757]*CH2*C2H2*M - k[758]*C3H4*M
+
+
+#C6H5 + H + M -> C6H6 + M
+v_759 = lambda k, M, H, C6H6, C6H5 : k[759]*C6H5*H*M - k[760]*C6H6*M
+
+
+#C4H2 + H + M -> C4H3 + M
+v_761 = lambda k, M, H, C4H3, C4H2 : k[761]*C4H2*H*M - k[762]*C4H3*M
+
+
+#C2H2 + C4H3 + M -> C6H5 + M
+v_763 = lambda k, M, C4H3, C2H2, C6H5 : k[763]*C2H2*C4H3*M - k[764]*C6H5*M
+
+
+#C2H2 + C2H3 + M -> C4H5 + M
+v_765 = lambda k, M, C4H5, C2H3, C2H2 : k[765]*C2H2*C2H3*M - k[766]*C4H5*M
#C2H + M -> C2 + H + M
-v_703 = lambda k, M, H, C2H, C2 : k[703]*C2H*M - k[704]*C2*H*M
+v_767 = lambda k, M, C2H, H, C2 : k[767]*C2H*M - k[768]*C2*H*M
#O + C + M -> CO + M
-v_705 = lambda k, M, C, CO, O : k[705]*O*C*M - k[706]*CO*M
+v_769 = lambda k, M, O, CO, C : k[769]*O*C*M - k[770]*CO*M
#NH + M -> H + N + M
-v_707 = lambda k, M, NH, N, H : k[707]*NH*M - k[708]*H*N*M
+v_771 = lambda k, M, N, NH, H : k[771]*NH*M - k[772]*H*N*M
#O + N + M -> NO + M
-v_709 = lambda k, M, O, N, NO : k[709]*O*N*M - k[710]*NO*M
-
-
-#N2H2 + M -> N2H + H + M
-v_711 = lambda k, M, N2H, N2H2, H : k[711]*N2H2*M - k[712]*N2H*H*M
+v_773 = lambda k, M, O, NO, N : k[773]*O*N*M - k[774]*NO*M
#O + O + M -> O2 + M
-v_713 = lambda k, M, O, O2 : k[713]*O*O*M - k[714]*O2*M
+v_775 = lambda k, M, O, O2 : k[775]*O*O*M - k[776]*O2*M
#HNCO + M -> H + NCO
-v_715 = lambda k, M, HNCO, NCO, H : k[715]*HNCO*M - k[716]*H*NCO
+v_777 = lambda k, M, HNCO, H, NCO : k[777]*HNCO*M - k[778]*H*NCO
#N_2D + M -> N + M
-v_717 = lambda k, M, N, N_2D : k[717]*N_2D*M - k[718]*N*M
+v_779 = lambda k, M, N_2D, N : k[779]*N_2D*M - k[780]*N*M
#OH + CH3 + M -> CH3OH + M
-v_719 = lambda k, M, OH, CH3, CH3OH : k[719]*OH*CH3*M - k[720]*CH3OH*M
+v_781 = lambda k, M, OH, CH3, CH3OH : k[781]*OH*CH3*M - k[782]*CH3OH*M
#H2O -> H + OH
-v_721 = lambda k, M, OH, H2O, H : k[721]*H2O - k[722]*H*OH
+v_783 = lambda k, M, OH, H, H2O : k[783]*H2O - k[784]*H*OH
#H2O -> H2 + O_1
-v_723 = lambda k, M, H2, H2O, O_1 : k[723]*H2O - k[724]*H2*O_1
+v_785 = lambda k, M, O_1, H2, H2O : k[785]*H2O - k[786]*H2*O_1
#H2O -> H + H + O
-v_725 = lambda k, M, O, H2O, H : k[725]*H2O - k[726]*H*H*O
+v_787 = lambda k, M, H, O, H2O : k[787]*H2O - k[788]*H*H*O
#CH4 -> CH3 + H
-v_727 = lambda k, M, CH4, CH3, H : k[727]*CH4 - k[728]*CH3*H
+v_789 = lambda k, M, CH3, H, CH4 : k[789]*CH4 - k[790]*CH3*H
#CH4 -> CH2_1 + H2
-v_729 = lambda k, M, CH2_1, H2, CH4 : k[729]*CH4 - k[730]*CH2_1*H2
+v_791 = lambda k, M, H2, CH4, CH2_1 : k[791]*CH4 - k[792]*CH2_1*H2
#CH4 -> CH2_1 + H + H
-v_731 = lambda k, M, CH2_1, CH4, H : k[731]*CH4 - k[732]*CH2_1*H*H
+v_793 = lambda k, M, H, CH4, CH2_1 : k[793]*CH4 - k[794]*CH2_1*H*H
#CH4 -> CH + H2 + H
-v_733 = lambda k, M, H2, H, CH4, CH : k[733]*CH4 - k[734]*CH*H2*H
+v_795 = lambda k, M, CH, H2, H, CH4 : k[795]*CH4 - k[796]*CH*H2*H
#CH3 -> CH + H2
-v_735 = lambda k, M, H2, CH3, CH : k[735]*CH3 - k[736]*CH*H2
+v_797 = lambda k, M, CH3, CH, H2 : k[797]*CH3 - k[798]*CH*H2
#CH3 -> CH2_1 + H
-v_737 = lambda k, M, CH2_1, CH3, H : k[737]*CH3 - k[738]*CH2_1*H
+v_799 = lambda k, M, CH3, H, CH2_1 : k[799]*CH3 - k[800]*CH2_1*H
#CO -> C + O
-v_739 = lambda k, M, C, O, CO : k[739]*CO - k[740]*C*O
+v_801 = lambda k, M, O, CO, C : k[801]*CO - k[802]*C*O
#H2 -> H + H
-v_741 = lambda k, M, H2, H : k[741]*H2 - k[742]*H*H
+v_803 = lambda k, M, H, H2 : k[803]*H2 - k[804]*H*H
#C2H2 -> C2H + H
-v_743 = lambda k, M, H, C2H, C2H2 : k[743]*C2H2 - k[744]*C2H*H
+v_805 = lambda k, M, C2H, H, C2H2 : k[805]*C2H2 - k[806]*C2H*H
#CO2 -> CO + O
-v_745 = lambda k, M, O, CO2, CO : k[745]*CO2 - k[746]*CO*O
+v_807 = lambda k, M, O, CO, CO2 : k[807]*CO2 - k[808]*CO*O
#CO2 -> CO + O_1
-v_747 = lambda k, M, CO2, CO, O_1 : k[747]*CO2 - k[748]*CO*O_1
+v_809 = lambda k, M, O_1, CO, CO2 : k[809]*CO2 - k[810]*CO*O_1
#C2H4 -> C2H2 + H2
-v_749 = lambda k, M, H2, C2H4, C2H2 : k[749]*C2H4 - k[750]*C2H2*H2
+v_811 = lambda k, M, H2, C2H2, C2H4 : k[811]*C2H4 - k[812]*C2H2*H2
#C2H4 -> C2H2 + H + H
-v_751 = lambda k, M, H, C2H4, C2H2 : k[751]*C2H4 - k[752]*C2H2*H*H
+v_813 = lambda k, M, H, C2H2, C2H4 : k[813]*C2H4 - k[814]*C2H2*H*H
#C2H4 -> C2H3 + H
-v_753 = lambda k, M, C2H3, C2H4, H : k[753]*C2H4 - k[754]*C2H3*H
+v_815 = lambda k, M, C2H3, C2H4, H : k[815]*C2H4 - k[816]*C2H3*H
#C2H6 -> C2H4 + H2
-v_755 = lambda k, M, C2H6, H2, C2H4 : k[755]*C2H6 - k[756]*C2H4*H2
+v_817 = lambda k, M, H2, C2H6, C2H4 : k[817]*C2H6 - k[818]*C2H4*H2
#C2H6 -> C2H4 + H + H
-v_757 = lambda k, M, C2H6, C2H4, H : k[757]*C2H6 - k[758]*C2H4*H*H
+v_819 = lambda k, M, H, C2H6, C2H4 : k[819]*C2H6 - k[820]*C2H4*H*H
#C2H6 -> C2H2 + H2 + H2
-v_759 = lambda k, M, C2H6, H2, C2H2 : k[759]*C2H6 - k[760]*C2H2*H2*H2
+v_821 = lambda k, M, H2, C2H6, C2H2 : k[821]*C2H6 - k[822]*C2H2*H2*H2
#C2H6 -> CH4 + CH2_1
-v_761 = lambda k, M, CH2_1, C2H6, CH4 : k[761]*C2H6 - k[762]*CH4*CH2_1
+v_823 = lambda k, M, C2H6, CH4, CH2_1 : k[823]*C2H6 - k[824]*CH4*CH2_1
#C2H6 -> CH3 + CH3
-v_763 = lambda k, M, C2H6, CH3 : k[763]*C2H6 - k[764]*CH3*CH3
+v_825 = lambda k, M, CH3, C2H6 : k[825]*C2H6 - k[826]*CH3*CH3
#OH -> H + O
-v_765 = lambda k, M, O, OH, H : k[765]*OH - k[766]*H*O
+v_827 = lambda k, M, OH, H, O : k[827]*OH - k[828]*H*O
#HCO -> H + CO
-v_767 = lambda k, M, CO, H, HCO : k[767]*HCO - k[768]*H*CO
+v_829 = lambda k, M, H, HCO, CO : k[829]*HCO - k[830]*H*CO
#H2CO -> H2 + CO
-v_769 = lambda k, M, H2, H2CO, CO : k[769]*H2CO - k[770]*H2*CO
+v_831 = lambda k, M, H2CO, H2, CO : k[831]*H2CO - k[832]*H2*CO
#H2CO -> H + HCO
-v_771 = lambda k, M, HCO, H2CO, H : k[771]*H2CO - k[772]*H*HCO
+v_833 = lambda k, M, H2CO, HCO, H : k[833]*H2CO - k[834]*H*HCO
#CH3OH -> CH3 + OH
-v_773 = lambda k, M, OH, CH3, CH3OH : k[773]*CH3OH - k[774]*CH3*OH
+v_835 = lambda k, M, CH3OH, CH3, OH : k[835]*CH3OH - k[836]*CH3*OH
#CH3OH -> H2CO + H2
-v_775 = lambda k, M, H2, H2CO, CH3OH : k[775]*CH3OH - k[776]*H2CO*H2
+v_837 = lambda k, M, CH3OH, H2CO, H2 : k[837]*CH3OH - k[838]*H2CO*H2
#CH3OH -> CH3O + H
-v_777 = lambda k, M, H, CH3O, CH3OH : k[777]*CH3OH - k[778]*CH3O*H
+v_839 = lambda k, M, CH3OH, CH3O, H : k[839]*CH3OH - k[840]*CH3O*H
#CH3CHO -> CH4 + CO
-v_779 = lambda k, M, CH3CHO, CH4, CO : k[779]*CH3CHO - k[780]*CH4*CO
+v_841 = lambda k, M, CH3CHO, CO, CH4 : k[841]*CH3CHO - k[842]*CH4*CO
#CH3CHO -> CH3 + HCO
-v_781 = lambda k, M, CH3CHO, CH3, HCO : k[781]*CH3CHO - k[782]*CH3*HCO
+v_843 = lambda k, M, CH3, CH3CHO, HCO : k[843]*CH3CHO - k[844]*CH3*HCO
#N2 -> N + N
-v_783 = lambda k, M, N, N2 : k[783]*N2 - k[784]*N*N
+v_845 = lambda k, M, N2, N : k[845]*N2 - k[846]*N*N
#NH3 -> NH2 + H
-v_785 = lambda k, M, NH3, NH2, H : k[785]*NH3 - k[786]*NH2*H
+v_847 = lambda k, M, H, NH2, NH3 : k[847]*NH3 - k[848]*NH2*H
#NH3 -> NH + H + H
-v_787 = lambda k, M, NH3, NH, H : k[787]*NH3 - k[788]*NH*H*H
+v_849 = lambda k, M, H, NH, NH3 : k[849]*NH3 - k[850]*NH*H*H
#HCN -> H + CN
-v_789 = lambda k, M, CN, H, HCN : k[789]*HCN - k[790]*H*CN
+v_851 = lambda k, M, HCN, CN, H : k[851]*HCN - k[852]*H*CN
#NO -> N + O
-v_791 = lambda k, M, O, N, NO : k[791]*NO - k[792]*N*O
+v_853 = lambda k, M, O, NO, N : k[853]*NO - k[854]*N*O
#NO2 -> NO + O
-v_793 = lambda k, M, O, NO, NO2 : k[793]*NO2 - k[794]*NO*O
+v_855 = lambda k, M, O, NO2, NO : k[855]*NO2 - k[856]*NO*O
#N2H4 -> N2H3 + H
-v_795 = lambda k, M, N2H3, N2H4, H : k[795]*N2H4 - k[796]*N2H3*H
+v_857 = lambda k, M, N2H4, H, N2H3 : k[857]*N2H4 - k[858]*N2H3*H
#HNCO -> NH + CO
-v_797 = lambda k, M, HNCO, NH, CO : k[797]*HNCO - k[798]*NH*CO
+v_859 = lambda k, M, HNCO, NH, CO : k[859]*HNCO - k[860]*NH*CO
#HNCO -> H + NCO
-v_799 = lambda k, M, HNCO, NCO, H : k[799]*HNCO - k[800]*H*NCO
+v_861 = lambda k, M, HNCO, H, NCO : k[861]*HNCO - k[862]*H*NCO
#HO2 -> O + OH
-v_801 = lambda k, M, OH, O, HO2 : k[801]*HO2 - k[802]*O*OH
+v_863 = lambda k, M, OH, O, HO2 : k[863]*HO2 - k[864]*O*OH
#O2 -> O + O
-v_803 = lambda k, M, O, O2 : k[803]*O2 - k[804]*O*O
+v_865 = lambda k, M, O, O2 : k[865]*O2 - k[866]*O*O
#O2 -> O + O_1
-v_805 = lambda k, M, O, O2, O_1 : k[805]*O2 - k[806]*O*O_1
+v_867 = lambda k, M, O_1, O, O2 : k[867]*O2 - k[868]*O*O_1
-#C6H6 -> C3H3 + C3H3
-v_807 = lambda k, M, C6H6, C3H3 : k[807]*C6H6 - k[808]*C3H3*C3H3
+#C4H2 -> C2H2 + C2
+v_869 = lambda k, M, C2, C2H2, C4H2 : k[869]*C4H2 - k[870]*C2H2*C2
-#C6H6 -> C2H2 + C2H2 + C2H2
-v_809 = lambda k, M, C6H6, C2H2 : k[809]*C6H6 - k[810]*C2H2*C2H2*C2H2
+#CH2 -> CH + H
+v_871 = lambda k, M, CH2, CH, H : k[871]*CH2 - k[872]*CH*H
-#C4H2 -> C2H2 + C2
-v_811 = lambda k, M, C4H2, C2, C2H2 : k[811]*C4H2 - k[812]*C2H2*C2
+#C6H6 -> C6H5 + H
+v_873 = lambda k, M, C6H5, C6H6, H : k[873]*C6H6 - k[874]*C6H5*H
-#CH2 -> CH + H
-v_813 = lambda k, M, H, CH2, CH : k[813]*CH2 - k[814]*CH*H
+#C6H6 -> C3H3 + C3H3
+v_875 = lambda k, M, C3H3, C6H6 : k[875]*C6H6 - k[876]*C3H3*C3H3
+
+
+#HNO2 -> NO + OH
+v_877 = lambda k, M, HNO2, NO, OH : k[877]*HNO2 - k[878]*NO*OH
def rate_ans(sp):
rate_str = {}
re_sp_dic = {}
- rate_str["NH2"] = [ -1*k[231]*y[0]*y[33], +1* k[232]*y[3]*y[29], -1*k[239]*y[8]*y[33], +1* k[240]*y[9]*y[29], -1*k[247]*y[33]*y[12], +1* k[248]*y[29]*y[11], -1*k[249]*y[33]*y[13], +1* k[250]*y[35]*y[11], -1*k[251]*y[33]*y[14], +1* k[252]*y[35]*y[13], -1*k[253]*y[33]*y[15], +1* k[254]*y[35]*y[14], -1*k[255]*y[33]*y[16], +1* k[256]*y[35]*y[15], +1*k[261]*y[4]*y[35], -1* k[262]*y[2]*y[33], +1*k[269]*y[2]*y[31], -1* k[270]*y[33]*y[17], +1*k[271]*y[2]*y[29], -1* k[272]*y[4]*y[33], -1*k[273]*y[33]*y[2], +1* k[274]*y[1]*y[29], -1*k[297]*y[32]*y[33], +1* k[298]*y[34]*y[1], -1*k[305]*y[33]*y[3], +1* k[306]*y[35]*y[0], -1*k[307]*y[33]*y[9], +1* k[308]*y[8]*y[35], -1*k[309]*y[33]*y[4], +1* k[310]*y[3]*y[32], -1*k[311]*y[33]*y[1], +1* k[312]*y[35]*y[2], -1*k[313]*y[33]*y[33], +1* k[314]*y[35]*y[29], -1*k[313]*y[33]*y[33], +1* k[314]*y[35]*y[29], +1*k[315]*y[35]*y[5], -1* k[316]*y[33]*y[7], +1*k[317]*y[35]*y[30], -1* k[318]*y[31]*y[33], +1*k[319]*y[29]*y[36], -1* k[320]*y[31]*y[33], -1*k[325]*y[29]*y[33], +1* k[326]*y[37]*y[0], -1*k[327]*y[33]*y[37], +1* k[328]*y[35]*y[38], -1*k[329]*y[33]*y[39], +1* k[330]*y[35]*y[37], -1*k[351]*y[38]*y[33], +1* k[352]*y[34]*y[35], -1*k[353]*y[33]*y[32], +1* k[354]*y[38]*y[2], +1*k[359]*y[29]*y[37], -1* k[360]*y[33]*y[38], +1*k[365]*y[42]*y[0], -1* k[366]*y[17]*y[33], -1*k[373]*y[8]*y[33], +1* k[374]*y[35]*y[7], -1*k[377]*y[33]*y[33], +1* k[378]*y[37]*y[3], -1*k[377]*y[33]*y[33], +1* k[378]*y[37]*y[3], -1*k[401]*y[33]*y[25], +1* k[402]*y[41]*y[2], -1*k[411]*y[33]*y[43], +1* k[412]*y[44]*y[1], -1*k[417]*y[40]*y[33], +1* k[418]*y[39]*y[35], -1*k[423]*y[48]*y[33], +1* k[424]*y[46]*y[35], +1*k[425]*y[46]*y[8], -1* k[426]*y[33]*y[15], +1*k[427]*y[46]*y[2], -1* k[428]*y[19]*y[33], -1*k[433]*y[8]*y[33], +1* k[434]*y[47]*y[3], -1*k[435]*y[8]*y[33], +1* k[436]*y[46]*y[0], +1*k[439]*y[39]*y[0], -1* k[440]*y[33]*y[33], +1*k[439]*y[39]*y[0], -1* k[440]*y[33]*y[33], -1*k[467]*y[33]*y[41], +1* k[468]*y[32]*y[35], -1*k[471]*y[51]*y[33], +1* k[472]*y[42]*y[29], +1*k[487]*y[39]*y[29], -1* k[488]*y[37]*y[33], -1*k[489]*y[33]*y[36], +1* k[490]*y[35]*y[31], -1*k[491]*y[29]*y[33], +1* k[492]*y[35]*y[28], -1*k[493]*y[33]*y[4], +1* k[494]*y[41]*y[0], -1*k[549]*y[52]*y[33], +1* k[550]*y[35]*y[25], +1*k[583]*y[60]*y[35], -1* k[584]*y[2]*y[33], +1*k[603]*y[62]*y[35], -1* k[604]*y[29]*y[33], -1*k[661]*y[0]*y[33]*M, +1* k[662]*y[35]*M, +1*k[665]*y[3]*y[28]*M, -1* k[666]*y[33]*M, -1*k[675]*y[33]*y[33]*M, +1* k[676]*y[40]*M, -1*k[675]*y[33]*y[33]*M, +1* k[676]*y[40]*M, -1*k[683]*y[33]*y[8]*M, +1* k[684]*y[48]*M, +1*k[785]*y[35], -1* k[786]*y[33]*y[0]]
- rate_str["HNO"] = [ +1*k[355]*y[38]*y[32], -1* k[356]*y[34]*y[41], +1*k[399]*y[29]*y[25], -1* k[400]*y[41]*y[4], +1*k[401]*y[33]*y[25], -1* k[402]*y[41]*y[2], -1*k[413]*y[41]*y[41], +1* k[414]*y[44]*y[1], -1*k[413]*y[41]*y[41], +1* k[414]*y[44]*y[1], +1*k[447]*y[29]*y[2], -1* k[448]*y[41]*y[0], -1*k[449]*y[41]*y[2], +1* k[450]*y[32]*y[1], -1*k[451]*y[41]*y[4], +1* k[452]*y[32]*y[2], -1*k[453]*y[41]*y[0], +1* k[454]*y[32]*y[3], +1*k[455]*y[32]*y[22], -1* k[456]*y[41]*y[20], +1*k[457]*y[32]*y[21], -1* k[458]*y[41]*y[17], +1*k[461]*y[50]*y[0], -1* k[462]*y[41]*y[2], -1*k[467]*y[33]*y[41], +1* k[468]*y[32]*y[35], +1*k[493]*y[33]*y[4], -1* k[494]*y[41]*y[0], -1*k[495]*y[3]*y[41], +1* k[496]*y[29]*y[1], +1*k[685]*y[32]*y[0]*M, -1* k[686]*y[41]*M]
- rate_str["N_2D"] = [ -1*k[599]*y[62]*y[3], +1* k[600]*y[29]*y[0], -1*k[601]*y[62]*y[1], +1* k[602]*y[29]*y[2], -1*k[603]*y[62]*y[35], +1* k[604]*y[29]*y[33], -1*k[717]*y[62]*M, +1* k[718]*y[28]*M]
- rate_str["O2"] = [ +1*k[197]*y[4]*y[2], -1* k[198]*y[25]*y[0], +1*k[383]*y[4]*y[22], -1* k[384]*y[25]*y[8], -1*k[385]*y[25]*y[6], +1* k[386]*y[4]*y[17], -1*k[387]*y[25]*y[7], +1* k[388]*y[1]*y[17], -1*k[389]*y[25]*y[8], +1* k[390]*y[2]*y[20], -1*k[391]*y[25]*y[12], +1* k[392]*y[17]*y[21], -1*k[393]*y[25]*y[13], +1* k[394]*y[20]*y[21], -1*k[395]*y[28]*y[25], +1* k[396]*y[32]*y[4], -1*k[397]*y[29]*y[25], +1* k[398]*y[32]*y[2], -1*k[399]*y[29]*y[25], +1* k[400]*y[41]*y[4], -1*k[401]*y[33]*y[25], +1* k[402]*y[41]*y[2], +1*k[403]*y[43]*y[4], -1* k[404]*y[32]*y[25], +1*k[405]*y[44]*y[4], -1* k[406]*y[34]*y[25], +1*k[501]*y[52]*y[0], -1* k[502]*y[25]*y[3], +1*k[513]*y[4]*y[52], -1* k[514]*y[2]*y[25], -1*k[515]*y[25]*y[9], +1* k[516]*y[8]*y[52], -1*k[517]*y[25]*y[16], +1* k[518]*y[15]*y[52], -1*k[519]*y[21]*y[25], +1* k[520]*y[17]*y[52], +1*k[521]*y[2]*y[52], -1* k[522]*y[1]*y[25], +1*k[549]*y[52]*y[33], -1* k[550]*y[35]*y[25], +1*k[587]*y[60]*y[43], -1* k[588]*y[25]*y[32], +1*k[691]*y[52]*y[52]*M, -1* k[692]*y[53]*y[25]*M, -1*k[695]*y[0]*y[25]*M, +1* k[696]*y[52]*M, +1*k[713]*y[4]*y[4]*M, -1* k[714]*y[25]*M, -1*k[803]*y[25], +1* k[804]*y[4]*y[4], -1*k[805]*y[25], +1* k[806]*y[4]*y[60]]
- rate_str["CH3CHO"] = [ +1*k[443]*y[4]*y[15], -1* k[444]*y[49]*y[0], -1*k[445]*y[49]*y[0], +1* k[446]*y[3]*y[24], -1*k[779]*y[49], +1* k[780]*y[9]*y[17], -1*k[781]*y[49], +1* k[782]*y[8]*y[21]]
- rate_str["C3H2"] = [ -1*k[563]*y[28]*y[59], +1* k[564]*y[54]*y[0], +1*k[565]*y[7]*y[11], -1* k[566]*y[59]*y[3], +1*k[569]*y[7]*y[12], -1* k[570]*y[59]*y[0], +1*k[571]*y[5]*y[11], -1* k[572]*y[59]*y[0], -1*k[699]*y[59]*y[0]*M, +1* k[700]*y[58]*M]
- rate_str["H2CCO"] = [ -1*k[201]*y[0]*y[26], +1* k[202]*y[17]*y[8], +1*k[203]*y[4]*y[13], -1* k[204]*y[26]*y[0]]
- rate_str["N2O"] = [ -1*k[405]*y[44]*y[4], +1* k[406]*y[34]*y[25], -1*k[407]*y[44]*y[0], +1* k[408]*y[34]*y[2], +1*k[409]*y[29]*y[32], -1* k[410]*y[44]*y[0], +1*k[411]*y[33]*y[43], -1* k[412]*y[44]*y[1], +1*k[413]*y[41]*y[41], -1* k[414]*y[44]*y[1], -1*k[679]*y[44]*M, +1* k[680]*y[34]*y[4]*M]
- rate_str["CH"] = [ -1*k[7]*y[0]*y[5], +1* k[8]*y[3]*y[6], +1*k[9]*y[0]*y[7], -1* k[10]*y[5]*y[3], -1*k[15]*y[6]*y[5], +1* k[16]*y[10]*y[0], -1*k[21]*y[5]*y[7], +1* k[22]*y[0]*y[11], -1*k[27]*y[5]*y[9], +1* k[28]*y[0]*y[14], -1*k[39]*y[5]*y[8], +1* k[40]*y[3]*y[11], +1*k[45]*y[7]*y[7], -1* k[46]*y[5]*y[8], +1*k[77]*y[12]*y[7], -1* k[78]*y[5]*y[11], +1*k[81]*y[12]*y[4], -1* k[82]*y[5]*y[17], -1*k[101]*y[5]*y[4], +1* k[102]*y[2]*y[6], -1*k[103]*y[4]*y[5], +1* k[104]*y[0]*y[17], +1*k[113]*y[2]*y[7], -1* k[114]*y[1]*y[5], -1*k[135]*y[18]*y[5], +1* k[136]*y[21]*y[17], -1*k[169]*y[5]*y[14], +1* k[170]*y[11]*y[8], -1*k[217]*y[28]*y[5], +1* k[218]*y[29]*y[6], -1*k[219]*y[28]*y[5], +1* k[220]*y[30]*y[0], +1*k[221]*y[28]*y[7], -1* k[222]*y[29]*y[5], +1*k[235]*y[7]*y[30], -1* k[236]*y[5]*y[31], -1*k[289]*y[32]*y[5], +1* k[290]*y[4]*y[31], -1*k[291]*y[32]*y[5], +1* k[292]*y[17]*y[29], -1*k[315]*y[35]*y[5], +1* k[316]*y[33]*y[7], -1*k[441]*y[5]*y[1], +1* k[442]*y[20]*y[0], -1*k[571]*y[5]*y[11], +1* k[572]*y[59]*y[0], -1*k[613]*y[0]*y[5]*M, +1* k[614]*y[7]*M, -1*k[627]*y[5]*M, +1* k[628]*y[6]*y[0]*M, -1*k[631]*y[5]*y[3]*M, +1* k[632]*y[8]*M, -1*k[647]*y[1]*y[5]*M, +1* k[648]*y[19]*M, +1*k[733]*y[9], -1* k[734]*y[5]*y[3]*y[0], +1*k[735]*y[8], -1* k[736]*y[5]*y[3], +1*k[813]*y[7], -1* k[814]*y[5]*y[0]]
- rate_str["HO2"] = [ -1*k[497]*y[52]*y[0], +1* k[498]*y[2]*y[2], -1*k[499]*y[52]*y[0], +1* k[500]*y[4]*y[1], -1*k[501]*y[52]*y[0], +1* k[502]*y[25]*y[3], -1*k[503]*y[17]*y[52], +1* k[504]*y[18]*y[2], +1*k[505]*y[4]*y[53], -1* k[506]*y[2]*y[52], +1*k[507]*y[2]*y[53], -1* k[508]*y[1]*y[52], +1*k[509]*y[53]*y[0], -1* k[510]*y[3]*y[52], -1*k[513]*y[4]*y[52], +1* k[514]*y[2]*y[25], +1*k[515]*y[25]*y[9], -1* k[516]*y[8]*y[52], +1*k[517]*y[25]*y[16], -1* k[518]*y[15]*y[52], +1*k[519]*y[21]*y[25], -1* k[520]*y[17]*y[52], -1*k[521]*y[2]*y[52], +1* k[522]*y[1]*y[25], -1*k[547]*y[52]*y[9], +1* k[548]*y[8]*y[53], -1*k[549]*y[52]*y[33], +1* k[550]*y[35]*y[25], -1*k[691]*y[52]*y[52]*M, +1* k[692]*y[53]*y[25]*M, -1*k[691]*y[52]*y[52]*M, +1* k[692]*y[53]*y[25]*M, +1*k[695]*y[0]*y[25]*M, -1* k[696]*y[52]*M, -1*k[801]*y[52], +1* k[802]*y[4]*y[2]]
- rate_str["HCCO"] = [ +1*k[205]*y[11]*y[4], -1* k[206]*y[27]*y[0], -1*k[207]*y[27]*y[0], +1* k[208]*y[17]*y[7]]
- rate_str["C2H5"] = [ -1*k[31]*y[0]*y[15], +1* k[32]*y[8]*y[8], -1*k[33]*y[0]*y[15], +1* k[34]*y[14]*y[3], +1*k[35]*y[0]*y[16], -1* k[36]*y[15]*y[3], -1*k[51]*y[7]*y[15], +1* k[52]*y[8]*y[14], -1*k[67]*y[8]*y[15], +1* k[68]*y[9]*y[14], +1*k[69]*y[8]*y[16], -1* k[70]*y[9]*y[15], +1*k[79]*y[12]*y[16], -1* k[80]*y[11]*y[15], -1*k[89]*y[13]*y[15], +1* k[90]*y[14]*y[14], -1*k[91]*y[13]*y[15], +1* k[92]*y[16]*y[11], -1*k[95]*y[15]*y[15], +1* k[96]*y[14]*y[16], -1*k[95]*y[15]*y[15], +1* k[96]*y[14]*y[16], -1*k[97]*y[15]*y[14], +1* k[98]*y[13]*y[16], +1*k[99]*y[16]*y[2], -1* k[100]*y[15]*y[1], +1*k[109]*y[4]*y[16], -1* k[110]*y[2]*y[15], -1*k[119]*y[2]*y[15], +1* k[120]*y[1]*y[14], -1*k[253]*y[33]*y[15], +1* k[254]*y[35]*y[14], +1*k[255]*y[33]*y[16], -1* k[256]*y[35]*y[15], +1*k[321]*y[30]*y[16], -1* k[322]*y[15]*y[31], +1*k[425]*y[46]*y[8], -1* k[426]*y[33]*y[15], -1*k[443]*y[4]*y[15], +1* k[444]*y[49]*y[0], +1*k[517]*y[25]*y[16], -1* k[518]*y[15]*y[52], -1*k[553]*y[12]*y[15], +1* k[554]*y[58]*y[8], +1*k[621]*y[0]*y[14]*M, -1* k[622]*y[15]*M, -1*k[623]*y[0]*y[15]*M, +1* k[624]*y[16]*M]
- rate_str["N2H3"] = [ -1*k[329]*y[33]*y[39], +1* k[330]*y[35]*y[37], -1*k[337]*y[39]*y[0], +1* k[338]*y[37]*y[3], -1*k[339]*y[39]*y[4], +1* k[340]*y[37]*y[2], -1*k[341]*y[39]*y[2], +1* k[342]*y[37]*y[1], -1*k[343]*y[39]*y[39], +1* k[344]*y[40]*y[37], -1*k[343]*y[39]*y[39], +1* k[344]*y[40]*y[37], +1*k[381]*y[40]*y[0], -1* k[382]*y[39]*y[3], +1*k[417]*y[40]*y[33], -1* k[418]*y[39]*y[35], -1*k[439]*y[39]*y[0], +1* k[440]*y[33]*y[33], -1*k[487]*y[39]*y[29], +1* k[488]*y[37]*y[33], -1*k[669]*y[39]*M, +1* k[670]*y[37]*y[0]*M, +1*k[795]*y[40], -1* k[796]*y[39]*y[0]]
- rate_str["H2CN"] = [ -1*k[319]*y[29]*y[36], +1* k[320]*y[31]*y[33], -1*k[361]*y[36]*y[2], +1* k[362]*y[31]*y[1], +1*k[369]*y[8]*y[28], -1* k[370]*y[36]*y[0], +1*k[379]*y[32]*y[8], -1* k[380]*y[36]*y[2], +1*k[431]*y[47]*y[0], -1* k[432]*y[36]*y[3], -1*k[489]*y[33]*y[36], +1* k[490]*y[35]*y[31], -1*k[523]*y[36]*y[0], +1* k[524]*y[31]*y[3], +1*k[671]*y[31]*y[0]*M, -1* k[672]*y[36]*M]
- rate_str["H2"] = [ +1*k[1]*y[0]*y[1], -1* k[2]*y[2]*y[3], -1*k[3]*y[4]*y[3], +1* k[4]*y[2]*y[0], +1*k[7]*y[0]*y[5], -1* k[8]*y[3]*y[6], +1*k[9]*y[0]*y[7], -1* k[10]*y[5]*y[3], -1*k[11]*y[7]*y[3], +1* k[12]*y[0]*y[8], +1*k[13]*y[0]*y[9], -1* k[14]*y[8]*y[3], -1*k[19]*y[3]*y[12], +1* k[20]*y[0]*y[11], +1*k[23]*y[0]*y[13], -1* k[24]*y[11]*y[3], -1*k[25]*y[3]*y[13], +1* k[26]*y[0]*y[14], +1*k[33]*y[0]*y[15], -1* k[34]*y[14]*y[3], +1*k[35]*y[0]*y[16], -1* k[36]*y[15]*y[3], +1*k[39]*y[5]*y[8], -1* k[40]*y[3]*y[11], -1*k[73]*y[10]*y[3], +1* k[74]*y[0]*y[12], +1*k[123]*y[20]*y[0], -1* k[124]*y[21]*y[3], +1*k[131]*y[21]*y[0], -1* k[132]*y[17]*y[3], +1*k[143]*y[23]*y[0], -1* k[144]*y[22]*y[3], +1*k[155]*y[23]*y[0], -1* k[156]*y[19]*y[3], +1*k[173]*y[4]*y[7], -1* k[174]*y[17]*y[3], +1*k[199]*y[0]*y[22], -1* k[200]*y[20]*y[3], +1*k[229]*y[0]*y[29], -1* k[230]*y[3]*y[28], +1*k[231]*y[0]*y[33], -1* k[232]*y[3]*y[29], -1*k[233]*y[3]*y[30], +1* k[234]*y[0]*y[31], +1*k[303]*y[29]*y[29], -1* k[304]*y[34]*y[3], -1*k[305]*y[33]*y[3], +1* k[306]*y[35]*y[0], +1*k[309]*y[33]*y[4], -1* k[310]*y[3]*y[32], +1*k[331]*y[37]*y[0], -1* k[332]*y[38]*y[3], +1*k[337]*y[39]*y[0], -1* k[338]*y[37]*y[3], +1*k[345]*y[38]*y[0], -1* k[346]*y[34]*y[3], +1*k[371]*y[8]*y[28], -1* k[372]*y[31]*y[3], +1*k[377]*y[33]*y[33], -1* k[378]*y[37]*y[3], +1*k[381]*y[40]*y[0], -1* k[382]*y[39]*y[3], +1*k[421]*y[46]*y[0], -1* k[422]*y[47]*y[3], +1*k[429]*y[48]*y[0], -1* k[430]*y[46]*y[3], +1*k[431]*y[47]*y[0], -1* k[432]*y[36]*y[3], +1*k[433]*y[8]*y[33], -1* k[434]*y[47]*y[3], +1*k[445]*y[49]*y[0], -1* k[446]*y[3]*y[24], +1*k[453]*y[41]*y[0], -1* k[454]*y[32]*y[3], +1*k[463]*y[50]*y[0], -1* k[464]*y[43]*y[3], +1*k[481]*y[42]*y[0], -1* k[482]*y[51]*y[3], -1*k[495]*y[3]*y[41], +1* k[496]*y[29]*y[1], +1*k[501]*y[52]*y[0], -1* k[502]*y[25]*y[3], +1*k[509]*y[53]*y[0], -1* k[510]*y[3]*y[52], +1*k[523]*y[36]*y[0], -1* k[524]*y[31]*y[3], +1*k[531]*y[0]*y[55], -1* k[532]*y[56]*y[3], +1*k[551]*y[28]*y[35], -1* k[552]*y[38]*y[3], +1*k[561]*y[28]*y[58], -1* k[562]*y[54]*y[3], +1*k[565]*y[7]*y[11], -1* k[566]*y[59]*y[3], -1*k[575]*y[60]*y[3], +1* k[576]*y[2]*y[0], -1*k[589]*y[61]*y[3], +1* k[590]*y[8]*y[0], -1*k[591]*y[61]*y[3], +1* k[592]*y[7]*y[3], +1*k[591]*y[61]*y[3], -1* k[592]*y[7]*y[3], -1*k[599]*y[62]*y[3], +1* k[600]*y[29]*y[0], +1*k[607]*y[0]*y[0]*M, -1* k[608]*y[3]*M, -1*k[625]*y[3]*y[6]*M, +1* k[626]*y[7]*M, -1*k[631]*y[5]*y[3]*M, +1* k[632]*y[8]*M, +1*k[637]*y[14]*M, -1* k[638]*y[11]*y[3]*M, +1*k[639]*y[16]*M, -1* k[640]*y[14]*y[3]*M, -1*k[659]*y[17]*y[3]*M, +1* k[660]*y[20]*M, -1*k[665]*y[3]*y[28]*M, +1* k[666]*y[33]*M, +1*k[723]*y[1], -1* k[724]*y[3]*y[60], +1*k[729]*y[9], -1* k[730]*y[61]*y[3], +1*k[733]*y[9], -1* k[734]*y[5]*y[3]*y[0], +1*k[735]*y[8], -1* k[736]*y[5]*y[3], -1*k[741]*y[3], +1* k[742]*y[0]*y[0], +1*k[749]*y[14], -1* k[750]*y[11]*y[3], +1*k[755]*y[16], -1* k[756]*y[14]*y[3], +1*k[759]*y[16], -1* k[760]*y[11]*y[3]*y[3], +1*k[759]*y[16], -1* k[760]*y[11]*y[3]*y[3], +1*k[769]*y[20], -1* k[770]*y[3]*y[17], +1*k[775]*y[23], -1* k[776]*y[20]*y[3]]
- rate_str["H2CO"] = [ -1*k[123]*y[20]*y[0], +1* k[124]*y[21]*y[3], -1*k[127]*y[20]*y[8], +1* k[128]*y[9]*y[21], +1*k[129]*y[8]*y[19], -1* k[130]*y[20]*y[9], +1*k[137]*y[8]*y[4], -1* k[138]*y[20]*y[0], +1*k[139]*y[22]*y[4], -1* k[140]*y[20]*y[2], +1*k[141]*y[22]*y[2], -1* k[142]*y[20]*y[1], +1*k[149]*y[7]*y[2], -1* k[150]*y[20]*y[0], +1*k[151]*y[18]*y[7], -1* k[152]*y[20]*y[17], +1*k[159]*y[19]*y[12], -1* k[160]*y[20]*y[11], +1*k[161]*y[22]*y[12], -1* k[162]*y[20]*y[11], +1*k[179]*y[19]*y[7], -1* k[180]*y[20]*y[8], +1*k[181]*y[22]*y[7], -1* k[182]*y[20]*y[8], +1*k[189]*y[22]*y[8], -1* k[190]*y[20]*y[9], +1*k[199]*y[0]*y[22], -1* k[200]*y[20]*y[3], -1*k[209]*y[4]*y[20], +1* k[210]*y[21]*y[2], +1*k[211]*y[21]*y[21], -1* k[212]*y[20]*y[17], +1*k[213]*y[19]*y[22], -1* k[214]*y[20]*y[23], +1*k[215]*y[22]*y[22], -1* k[216]*y[20]*y[23], +1*k[389]*y[25]*y[8], -1* k[390]*y[2]*y[20], +1*k[393]*y[25]*y[13], -1* k[394]*y[20]*y[21], +1*k[441]*y[5]*y[1], -1* k[442]*y[20]*y[0], +1*k[455]*y[32]*y[22], -1* k[456]*y[41]*y[20], +1*k[643]*y[19]*M, -1* k[644]*y[0]*y[20]*M, +1*k[649]*y[22]*M, -1* k[650]*y[0]*y[20]*M, +1*k[657]*y[21]*y[0]*M, -1* k[658]*y[20]*M, +1*k[659]*y[17]*y[3]*M, -1* k[660]*y[20]*M, -1*k[769]*y[20], +1* k[770]*y[3]*y[17], -1*k[771]*y[20], +1* k[772]*y[0]*y[21], +1*k[775]*y[23], -1* k[776]*y[20]*y[3]]
- rate_str["H"] = [ -1*k[1]*y[0]*y[1], +1* k[2]*y[2]*y[3], +1*k[3]*y[4]*y[3], -1* k[4]*y[2]*y[0], -1*k[7]*y[0]*y[5], +1* k[8]*y[3]*y[6], -1*k[9]*y[0]*y[7], +1* k[10]*y[5]*y[3], +1*k[11]*y[7]*y[3], -1* k[12]*y[0]*y[8], -1*k[13]*y[0]*y[9], +1* k[14]*y[8]*y[3], +1*k[15]*y[6]*y[5], -1* k[16]*y[10]*y[0], +1*k[17]*y[8]*y[6], -1* k[18]*y[0]*y[11], +1*k[19]*y[3]*y[12], -1* k[20]*y[0]*y[11], +1*k[21]*y[5]*y[7], -1* k[22]*y[0]*y[11], -1*k[23]*y[0]*y[13], +1* k[24]*y[11]*y[3], +1*k[25]*y[3]*y[13], -1* k[26]*y[0]*y[14], +1*k[27]*y[5]*y[9], -1* k[28]*y[0]*y[14], +1*k[29]*y[7]*y[8], -1* k[30]*y[0]*y[14], -1*k[31]*y[0]*y[15], +1* k[32]*y[8]*y[8], -1*k[33]*y[0]*y[15], +1* k[34]*y[14]*y[3], -1*k[35]*y[0]*y[16], +1* k[36]*y[15]*y[3], +1*k[37]*y[2]*y[17], -1* k[38]*y[0]*y[18], +1*k[43]*y[7]*y[7], -1* k[44]*y[11]*y[0]*y[0], +1*k[43]*y[7]*y[7], -1* k[44]*y[11]*y[0]*y[0], +1*k[47]*y[7]*y[7], -1* k[48]*y[0]*y[13], +1*k[73]*y[10]*y[3], -1* k[74]*y[0]*y[12], +1*k[103]*y[4]*y[5], -1* k[104]*y[0]*y[17], +1*k[111]*y[2]*y[6], -1* k[112]*y[17]*y[0], -1*k[121]*y[19]*y[0], +1* k[122]*y[2]*y[8], -1*k[123]*y[20]*y[0], +1* k[124]*y[21]*y[3], -1*k[131]*y[21]*y[0], +1* k[132]*y[17]*y[3], +1*k[137]*y[8]*y[4], -1* k[138]*y[20]*y[0], -1*k[143]*y[23]*y[0], +1* k[144]*y[22]*y[3], -1*k[145]*y[23]*y[0], +1* k[146]*y[8]*y[1], +1*k[147]*y[7]*y[4], -1* k[148]*y[17]*y[0]*y[0], +1*k[147]*y[7]*y[4], -1* k[148]*y[17]*y[0]*y[0], +1*k[149]*y[7]*y[2], -1* k[150]*y[20]*y[0], -1*k[155]*y[23]*y[0], +1* k[156]*y[19]*y[3], -1*k[193]*y[24]*y[0], +1* k[194]*y[21]*y[8], +1*k[197]*y[4]*y[2], -1* k[198]*y[25]*y[0], -1*k[199]*y[0]*y[22], +1* k[200]*y[20]*y[3], -1*k[201]*y[0]*y[26], +1* k[202]*y[17]*y[8], +1*k[203]*y[4]*y[13], -1* k[204]*y[26]*y[0], +1*k[205]*y[11]*y[4], -1* k[206]*y[27]*y[0], -1*k[207]*y[27]*y[0], +1* k[208]*y[17]*y[7], +1*k[219]*y[28]*y[5], -1* k[220]*y[30]*y[0], +1*k[223]*y[28]*y[7], -1* k[224]*y[31]*y[0], -1*k[227]*y[0]*y[32], +1* k[228]*y[2]*y[28], -1*k[229]*y[0]*y[29], +1* k[230]*y[3]*y[28], -1*k[231]*y[0]*y[33], +1* k[232]*y[3]*y[29], +1*k[233]*y[3]*y[30], -1* k[234]*y[0]*y[31], +1*k[259]*y[4]*y[29], -1* k[260]*y[32]*y[0], +1*k[281]*y[28]*y[29], -1* k[282]*y[34]*y[0], +1*k[301]*y[29]*y[6], -1* k[302]*y[0]*y[30], +1*k[305]*y[33]*y[3], -1* k[306]*y[35]*y[0], +1*k[325]*y[29]*y[33], -1* k[326]*y[37]*y[0], -1*k[331]*y[37]*y[0], +1* k[332]*y[38]*y[3], -1*k[337]*y[39]*y[0], +1* k[338]*y[37]*y[3], -1*k[345]*y[38]*y[0], +1* k[346]*y[34]*y[3], +1*k[363]*y[32]*y[7], -1* k[364]*y[42]*y[0], -1*k[365]*y[42]*y[0], +1* k[366]*y[17]*y[33], +1*k[367]*y[31]*y[2], -1* k[368]*y[42]*y[0], +1*k[369]*y[8]*y[28], -1* k[370]*y[36]*y[0], -1*k[381]*y[40]*y[0], +1* k[382]*y[39]*y[3], -1*k[407]*y[44]*y[0], +1* k[408]*y[34]*y[2], +1*k[409]*y[29]*y[32], -1* k[410]*y[44]*y[0], +1*k[419]*y[12]*y[11], -1* k[420]*y[45]*y[0], -1*k[421]*y[46]*y[0], +1* k[422]*y[47]*y[3], -1*k[429]*y[48]*y[0], +1* k[430]*y[46]*y[3], -1*k[431]*y[47]*y[0], +1* k[432]*y[36]*y[3], +1*k[435]*y[8]*y[33], -1* k[436]*y[46]*y[0], -1*k[439]*y[39]*y[0], +1* k[440]*y[33]*y[33], +1*k[441]*y[5]*y[1], -1* k[442]*y[20]*y[0], +1*k[443]*y[4]*y[15], -1* k[444]*y[49]*y[0], -1*k[445]*y[49]*y[0], +1* k[446]*y[3]*y[24], +1*k[447]*y[29]*y[2], -1* k[448]*y[41]*y[0], -1*k[453]*y[41]*y[0], +1* k[454]*y[32]*y[3], -1*k[461]*y[50]*y[0], +1* k[462]*y[41]*y[2], -1*k[463]*y[50]*y[0], +1* k[464]*y[43]*y[3], -1*k[465]*y[50]*y[0], +1* k[466]*y[32]*y[1], +1*k[477]*y[31]*y[4], -1* k[478]*y[51]*y[0], +1*k[479]*y[30]*y[2], -1* k[480]*y[51]*y[0], -1*k[481]*y[42]*y[0], +1* k[482]*y[51]*y[3], +1*k[493]*y[33]*y[4], -1* k[494]*y[41]*y[0], -1*k[497]*y[52]*y[0], +1* k[498]*y[2]*y[2], -1*k[499]*y[52]*y[0], +1* k[500]*y[4]*y[1], -1*k[501]*y[52]*y[0], +1* k[502]*y[25]*y[3], -1*k[509]*y[53]*y[0], +1* k[510]*y[3]*y[52], -1*k[511]*y[53]*y[0], +1* k[512]*y[2]*y[1], -1*k[523]*y[36]*y[0], +1* k[524]*y[31]*y[3], +1*k[525]*y[30]*y[11], -1* k[526]*y[54]*y[0], +1*k[527]*y[31]*y[12], -1* k[528]*y[54]*y[0], -1*k[529]*y[0]*y[55], +1* k[530]*y[31]*y[8], -1*k[531]*y[0]*y[55], +1* k[532]*y[56]*y[3], +1*k[537]*y[30]*y[14], -1* k[538]*y[57]*y[0], +1*k[539]*y[31]*y[13], -1* k[540]*y[57]*y[0], +1*k[545]*y[28]*y[13], -1* k[546]*y[56]*y[0], +1*k[563]*y[28]*y[59], -1* k[564]*y[54]*y[0], +1*k[567]*y[7]*y[11], -1* k[568]*y[58]*y[0], +1*k[569]*y[7]*y[12], -1* k[570]*y[59]*y[0], +1*k[571]*y[5]*y[11], -1* k[572]*y[59]*y[0], +1*k[573]*y[8]*y[12], -1* k[574]*y[58]*y[0], +1*k[575]*y[60]*y[3], -1* k[576]*y[2]*y[0], +1*k[589]*y[61]*y[3], -1* k[590]*y[8]*y[0], +1*k[597]*y[61]*y[11], -1* k[598]*y[58]*y[0], +1*k[599]*y[62]*y[3], -1* k[600]*y[29]*y[0], -1*k[607]*y[0]*y[0]*M, +1* k[608]*y[3]*M, -1*k[607]*y[0]*y[0]*M, +1* k[608]*y[3]*M, -1*k[609]*y[0]*y[4]*M, +1* k[610]*y[2]*M, -1*k[611]*y[2]*y[0]*M, +1* k[612]*y[1]*M, -1*k[613]*y[0]*y[5]*M, +1* k[614]*y[7]*M, -1*k[615]*y[0]*y[8]*M, +1* k[616]*y[9]*M, -1*k[617]*y[0]*y[11]*M, +1* k[618]*y[13]*M, -1*k[619]*y[0]*y[13]*M, +1* k[620]*y[14]*M, -1*k[621]*y[0]*y[14]*M, +1* k[622]*y[15]*M, -1*k[623]*y[0]*y[15]*M, +1* k[624]*y[16]*M, +1*k[627]*y[5]*M, -1* k[628]*y[6]*y[0]*M, -1*k[629]*y[7]*y[0]*M, +1* k[630]*y[8]*M, -1*k[635]*y[12]*y[0]*M, +1* k[636]*y[11]*M, +1*k[643]*y[19]*M, -1* k[644]*y[0]*y[20]*M, -1*k[645]*y[0]*y[17]*M, +1* k[646]*y[21]*M, +1*k[649]*y[22]*M, -1* k[650]*y[0]*y[20]*M, -1*k[651]*y[19]*y[0]*M, +1* k[652]*y[23]*M, -1*k[657]*y[21]*y[0]*M, +1* k[658]*y[20]*M, -1*k[661]*y[0]*y[33]*M, +1* k[662]*y[35]*M, -1*k[663]*y[0]*y[30]*M, +1* k[664]*y[31]*M, +1*k[669]*y[39]*M, -1* k[670]*y[37]*y[0]*M, -1*k[671]*y[31]*y[0]*M, +1* k[672]*y[36]*M, +1*k[681]*y[38]*M, -1* k[682]*y[34]*y[0]*M, -1*k[685]*y[32]*y[0]*M, +1* k[686]*y[41]*M, -1*k[695]*y[0]*y[25]*M, +1* k[696]*y[52]*M, -1*k[697]*y[56]*y[0]*M, +1* k[698]*y[55]*M, -1*k[699]*y[59]*y[0]*M, +1* k[700]*y[58]*M, +1*k[703]*y[12]*M, -1* k[704]*y[10]*y[0]*M, +1*k[707]*y[29]*M, -1* k[708]*y[0]*y[28]*M, +1*k[711]*y[37]*M, -1* k[712]*y[38]*y[0]*M, +1*k[715]*y[42]*M, -1* k[716]*y[0]*y[51], +1*k[721]*y[1], -1* k[722]*y[0]*y[2], +1*k[725]*y[1], -1* k[726]*y[0]*y[0]*y[4], +1*k[725]*y[1], -1* k[726]*y[0]*y[0]*y[4], +1*k[727]*y[9], -1* k[728]*y[8]*y[0], +1*k[731]*y[9], -1* k[732]*y[61]*y[0]*y[0], +1*k[731]*y[9], -1* k[732]*y[61]*y[0]*y[0], +1*k[733]*y[9], -1* k[734]*y[5]*y[3]*y[0], +1*k[737]*y[8], -1* k[738]*y[61]*y[0], +1*k[741]*y[3], -1* k[742]*y[0]*y[0], +1*k[741]*y[3], -1* k[742]*y[0]*y[0], +1*k[743]*y[11], -1* k[744]*y[12]*y[0], +1*k[751]*y[14], -1* k[752]*y[11]*y[0]*y[0], +1*k[751]*y[14], -1* k[752]*y[11]*y[0]*y[0], +1*k[753]*y[14], -1* k[754]*y[13]*y[0], +1*k[757]*y[16], -1* k[758]*y[14]*y[0]*y[0], +1*k[757]*y[16], -1* k[758]*y[14]*y[0]*y[0], +1*k[765]*y[2], -1* k[766]*y[0]*y[4], +1*k[767]*y[21], -1* k[768]*y[0]*y[17], +1*k[771]*y[20], -1* k[772]*y[0]*y[21], +1*k[777]*y[23], -1* k[778]*y[22]*y[0], +1*k[785]*y[35], -1* k[786]*y[33]*y[0], +1*k[787]*y[35], -1* k[788]*y[29]*y[0]*y[0], +1*k[787]*y[35], -1* k[788]*y[29]*y[0]*y[0], +1*k[789]*y[31], -1* k[790]*y[0]*y[30], +1*k[795]*y[40], -1* k[796]*y[39]*y[0], +1*k[799]*y[42], -1* k[800]*y[0]*y[51], +1*k[813]*y[7], -1* k[814]*y[5]*y[0]]
- rate_str["NH3"] = [ +1*k[249]*y[33]*y[13], -1* k[250]*y[35]*y[11], +1*k[251]*y[33]*y[14], -1* k[252]*y[35]*y[13], +1*k[253]*y[33]*y[15], -1* k[254]*y[35]*y[14], +1*k[255]*y[33]*y[16], -1* k[256]*y[35]*y[15], -1*k[261]*y[4]*y[35], +1* k[262]*y[2]*y[33], +1*k[305]*y[33]*y[3], -1* k[306]*y[35]*y[0], +1*k[307]*y[33]*y[9], -1* k[308]*y[8]*y[35], +1*k[311]*y[33]*y[1], -1* k[312]*y[35]*y[2], +1*k[313]*y[33]*y[33], -1* k[314]*y[35]*y[29], -1*k[315]*y[35]*y[5], +1* k[316]*y[33]*y[7], -1*k[317]*y[35]*y[30], +1* k[318]*y[31]*y[33], +1*k[327]*y[33]*y[37], -1* k[328]*y[35]*y[38], +1*k[329]*y[33]*y[39], -1* k[330]*y[35]*y[37], +1*k[351]*y[38]*y[33], -1* k[352]*y[34]*y[35], +1*k[373]*y[8]*y[33], -1* k[374]*y[35]*y[7], +1*k[417]*y[40]*y[33], -1* k[418]*y[39]*y[35], +1*k[423]*y[48]*y[33], -1* k[424]*y[46]*y[35], +1*k[467]*y[33]*y[41], -1* k[468]*y[32]*y[35], +1*k[489]*y[33]*y[36], -1* k[490]*y[35]*y[31], +1*k[491]*y[29]*y[33], -1* k[492]*y[35]*y[28], +1*k[549]*y[52]*y[33], -1* k[550]*y[35]*y[25], -1*k[551]*y[28]*y[35], +1* k[552]*y[38]*y[3], -1*k[583]*y[60]*y[35], +1* k[584]*y[2]*y[33], -1*k[603]*y[62]*y[35], +1* k[604]*y[29]*y[33], +1*k[661]*y[0]*y[33]*M, -1* k[662]*y[35]*M, -1*k[785]*y[35], +1* k[786]*y[33]*y[0], -1*k[787]*y[35], +1* k[788]*y[29]*y[0]*y[0]]
- rate_str["OH"] = [ +1*k[1]*y[0]*y[1], -1* k[2]*y[2]*y[3], +1*k[3]*y[4]*y[3], -1* k[4]*y[2]*y[0], +1*k[5]*y[4]*y[1], -1* k[6]*y[2]*y[2], +1*k[5]*y[4]*y[1], -1* k[6]*y[2]*y[2], -1*k[37]*y[2]*y[17], +1* k[38]*y[0]*y[18], -1*k[53]*y[8]*y[2], +1* k[54]*y[7]*y[1], -1*k[55]*y[12]*y[2], +1* k[56]*y[7]*y[17], -1*k[71]*y[11]*y[2], +1* k[72]*y[8]*y[17], -1*k[83]*y[12]*y[2], +1* k[84]*y[11]*y[4], +1*k[85]*y[12]*y[1], -1* k[86]*y[11]*y[2], -1*k[93]*y[14]*y[2], +1* k[94]*y[13]*y[1], -1*k[99]*y[16]*y[2], +1* k[100]*y[15]*y[1], +1*k[101]*y[5]*y[4], -1* k[102]*y[2]*y[6], +1*k[105]*y[4]*y[8], -1* k[106]*y[7]*y[2], -1*k[107]*y[8]*y[2], +1* k[108]*y[4]*y[9], +1*k[109]*y[4]*y[16], -1* k[110]*y[2]*y[15], -1*k[111]*y[2]*y[6], +1* k[112]*y[17]*y[0], -1*k[113]*y[2]*y[7], +1* k[114]*y[1]*y[5], -1*k[115]*y[2]*y[9], +1* k[116]*y[1]*y[8], -1*k[117]*y[2]*y[13], +1* k[118]*y[1]*y[11], -1*k[119]*y[2]*y[15], +1* k[120]*y[1]*y[14], +1*k[121]*y[19]*y[0], -1* k[122]*y[2]*y[8], -1*k[133]*y[21]*y[2], +1* k[134]*y[17]*y[1], +1*k[139]*y[22]*y[4], -1* k[140]*y[20]*y[2], -1*k[141]*y[22]*y[2], +1* k[142]*y[20]*y[1], -1*k[149]*y[7]*y[2], +1* k[150]*y[20]*y[0], +1*k[167]*y[4]*y[13], -1* k[168]*y[11]*y[2], +1*k[177]*y[19]*y[7], -1* k[178]*y[2]*y[14], -1*k[197]*y[4]*y[2], +1* k[198]*y[25]*y[0], +1*k[209]*y[4]*y[20], -1* k[210]*y[21]*y[2], +1*k[227]*y[0]*y[32], -1* k[228]*y[2]*y[28], +1*k[257]*y[4]*y[29], -1* k[258]*y[2]*y[28], +1*k[261]*y[4]*y[35], -1* k[262]*y[2]*y[33], -1*k[263]*y[2]*y[29], +1* k[264]*y[1]*y[28], -1*k[265]*y[2]*y[30], +1* k[266]*y[4]*y[31], -1*k[267]*y[2]*y[31], +1* k[268]*y[1]*y[30], -1*k[269]*y[2]*y[31], +1* k[270]*y[33]*y[17], -1*k[271]*y[2]*y[29], +1* k[272]*y[4]*y[33], -1*k[273]*y[33]*y[2], +1* k[274]*y[1]*y[29], +1*k[295]*y[32]*y[29], -1* k[296]*y[34]*y[2], +1*k[311]*y[33]*y[1], -1* k[312]*y[35]*y[2], -1*k[335]*y[37]*y[2], +1* k[336]*y[38]*y[1], +1*k[339]*y[39]*y[4], -1* k[340]*y[37]*y[2], -1*k[341]*y[39]*y[2], +1* k[342]*y[37]*y[1], -1*k[347]*y[38]*y[2], +1* k[348]*y[34]*y[1], +1*k[349]*y[38]*y[4], -1* k[350]*y[34]*y[2], +1*k[353]*y[33]*y[32], -1* k[354]*y[38]*y[2], +1*k[357]*y[37]*y[4], -1* k[358]*y[38]*y[2], -1*k[361]*y[36]*y[2], +1* k[362]*y[31]*y[1], -1*k[367]*y[31]*y[2], +1* k[368]*y[42]*y[0], +1*k[379]*y[32]*y[8], -1* k[380]*y[36]*y[2], +1*k[389]*y[25]*y[8], -1* k[390]*y[2]*y[20], +1*k[397]*y[29]*y[25], -1* k[398]*y[32]*y[2], +1*k[401]*y[33]*y[25], -1* k[402]*y[41]*y[2], +1*k[407]*y[44]*y[0], -1* k[408]*y[34]*y[2], -1*k[427]*y[46]*y[2], +1* k[428]*y[19]*y[33], -1*k[447]*y[29]*y[2], +1* k[448]*y[41]*y[0], -1*k[449]*y[41]*y[2], +1* k[450]*y[32]*y[1], +1*k[451]*y[41]*y[4], -1* k[452]*y[32]*y[2], -1*k[459]*y[50]*y[2], +1* k[460]*y[43]*y[1], +1*k[461]*y[50]*y[0], -1* k[462]*y[41]*y[2], -1*k[479]*y[30]*y[2], +1* k[480]*y[51]*y[0], +1*k[483]*y[42]*y[4], -1* k[484]*y[51]*y[2], -1*k[485]*y[42]*y[2], +1* k[486]*y[51]*y[1], +1*k[497]*y[52]*y[0], -1* k[498]*y[2]*y[2], +1*k[497]*y[52]*y[0], -1* k[498]*y[2]*y[2], +1*k[503]*y[17]*y[52], -1* k[504]*y[18]*y[2], +1*k[505]*y[4]*y[53], -1* k[506]*y[2]*y[52], -1*k[507]*y[2]*y[53], +1* k[508]*y[1]*y[52], +1*k[511]*y[53]*y[0], -1* k[512]*y[2]*y[1], +1*k[513]*y[4]*y[52], -1* k[514]*y[2]*y[25], -1*k[521]*y[2]*y[52], +1* k[522]*y[1]*y[25], -1*k[533]*y[55]*y[2], +1* k[534]*y[56]*y[1], +1*k[535]*y[55]*y[4], -1* k[536]*y[56]*y[2], -1*k[557]*y[58]*y[2], +1* k[558]*y[21]*y[13], +1*k[559]*y[19]*y[12], -1* k[560]*y[2]*y[58], +1*k[575]*y[60]*y[3], -1* k[576]*y[2]*y[0], +1*k[577]*y[60]*y[9], -1* k[578]*y[2]*y[8], +1*k[579]*y[60]*y[1], -1* k[580]*y[2]*y[2], +1*k[579]*y[60]*y[1], -1* k[580]*y[2]*y[2], +1*k[583]*y[60]*y[35], -1* k[584]*y[2]*y[33], +1*k[601]*y[62]*y[1], -1* k[602]*y[29]*y[2], +1*k[609]*y[0]*y[4]*M, -1* k[610]*y[2]*M, -1*k[611]*y[2]*y[0]*M, +1* k[612]*y[1]*M, -1*k[653]*y[2]*y[11]*M, +1* k[654]*y[24]*M, -1*k[687]*y[32]*y[2]*M, +1* k[688]*y[50]*M, -1*k[693]*y[2]*y[2]*M, +1* k[694]*y[53]*M, -1*k[693]*y[2]*y[2]*M, +1* k[694]*y[53]*M, -1*k[719]*y[2]*y[8]*M, +1* k[720]*y[23]*M, +1*k[721]*y[1], -1* k[722]*y[0]*y[2], -1*k[765]*y[2], +1* k[766]*y[0]*y[4], +1*k[773]*y[23], -1* k[774]*y[8]*y[2], +1*k[801]*y[52], -1* k[802]*y[4]*y[2]]
- rate_str["N"] = [ -1*k[217]*y[28]*y[5], +1* k[218]*y[29]*y[6], -1*k[219]*y[28]*y[5], +1* k[220]*y[30]*y[0], -1*k[221]*y[28]*y[7], +1* k[222]*y[29]*y[5], -1*k[223]*y[28]*y[7], +1* k[224]*y[31]*y[0], -1*k[225]*y[28]*y[10], +1* k[226]*y[30]*y[6], +1*k[227]*y[0]*y[32], -1* k[228]*y[2]*y[28], +1*k[229]*y[0]*y[29], -1* k[230]*y[3]*y[28], +1*k[237]*y[8]*y[29], -1* k[238]*y[9]*y[28], +1*k[257]*y[4]*y[29], -1* k[258]*y[2]*y[28], +1*k[263]*y[2]*y[29], -1* k[264]*y[1]*y[28], +1*k[275]*y[30]*y[4], -1* k[276]*y[28]*y[17], -1*k[277]*y[28]*y[18], +1* k[278]*y[17]*y[32], -1*k[279]*y[28]*y[32], +1* k[280]*y[34]*y[4], -1*k[281]*y[28]*y[29], +1* k[282]*y[34]*y[0], -1*k[283]*y[28]*y[30], +1* k[284]*y[34]*y[6], -1*k[369]*y[8]*y[28], +1* k[370]*y[36]*y[0], -1*k[371]*y[8]*y[28], +1* k[372]*y[31]*y[3], -1*k[395]*y[28]*y[25], +1* k[396]*y[32]*y[4], +1*k[491]*y[29]*y[33], -1* k[492]*y[35]*y[28], -1*k[545]*y[28]*y[13], +1* k[546]*y[56]*y[0], -1*k[551]*y[28]*y[35], +1* k[552]*y[38]*y[3], -1*k[561]*y[28]*y[58], +1* k[562]*y[54]*y[3], -1*k[563]*y[28]*y[59], +1* k[564]*y[54]*y[0], -1*k[665]*y[3]*y[28]*M, +1* k[666]*y[33]*M, -1*k[667]*y[28]*y[28]*M, +1* k[668]*y[34]*M, -1*k[667]*y[28]*y[28]*M, +1* k[668]*y[34]*M, +1*k[707]*y[29]*M, -1* k[708]*y[0]*y[28]*M, -1*k[709]*y[4]*y[28]*M, +1* k[710]*y[32]*M, +1*k[717]*y[62]*M, -1* k[718]*y[28]*M, +1*k[783]*y[34], -1* k[784]*y[28]*y[28], +1*k[783]*y[34], -1* k[784]*y[28]*y[28], +1*k[791]*y[32], -1* k[792]*y[28]*y[4]]
- rate_str["N2H4"] = [ +1*k[343]*y[39]*y[39], -1* k[344]*y[40]*y[37], -1*k[381]*y[40]*y[0], +1* k[382]*y[39]*y[3], -1*k[417]*y[40]*y[33], +1* k[418]*y[39]*y[35], +1*k[675]*y[33]*y[33]*M, -1* k[676]*y[40]*M, -1*k[795]*y[40], +1* k[796]*y[39]*y[0]]
- rate_str["HCN"] = [ +1*k[223]*y[28]*y[7], -1* k[224]*y[31]*y[0], +1*k[233]*y[3]*y[30], -1* k[234]*y[0]*y[31], +1*k[235]*y[7]*y[30], -1* k[236]*y[5]*y[31], +1*k[241]*y[8]*y[30], -1* k[242]*y[7]*y[31], +1*k[243]*y[9]*y[30], -1* k[244]*y[31]*y[8], +1*k[265]*y[2]*y[30], -1* k[266]*y[4]*y[31], -1*k[267]*y[2]*y[31], +1* k[268]*y[1]*y[30], -1*k[269]*y[2]*y[31], +1* k[270]*y[33]*y[17], +1*k[285]*y[34]*y[7], -1* k[286]*y[29]*y[31], +1*k[289]*y[32]*y[5], -1* k[290]*y[4]*y[31], +1*k[293]*y[32]*y[8], -1* k[294]*y[31]*y[1], +1*k[317]*y[35]*y[30], -1* k[318]*y[31]*y[33], +1*k[319]*y[29]*y[36], -1* k[320]*y[31]*y[33], +1*k[321]*y[30]*y[16], -1* k[322]*y[15]*y[31], -1*k[323]*y[31]*y[4], +1* k[324]*y[17]*y[29], +1*k[361]*y[36]*y[2], -1* k[362]*y[31]*y[1], -1*k[367]*y[31]*y[2], +1* k[368]*y[42]*y[0], +1*k[371]*y[8]*y[28], -1* k[372]*y[31]*y[3], -1*k[469]*y[51]*y[31], +1* k[470]*y[42]*y[30], -1*k[477]*y[31]*y[4], +1* k[478]*y[51]*y[0], +1*k[489]*y[33]*y[36], -1* k[490]*y[35]*y[31], +1*k[523]*y[36]*y[0], -1* k[524]*y[31]*y[3], -1*k[527]*y[31]*y[12], +1* k[528]*y[54]*y[0], +1*k[529]*y[0]*y[55], -1* k[530]*y[31]*y[8], -1*k[539]*y[31]*y[13], +1* k[540]*y[57]*y[0], +1*k[541]*y[57]*y[10], -1* k[542]*y[31]*y[45], +1*k[663]*y[0]*y[30]*M, -1* k[664]*y[31]*M, -1*k[671]*y[31]*y[0]*M, +1* k[672]*y[36]*M, -1*k[789]*y[31], +1* k[790]*y[0]*y[30]]
- rate_str["NH"] = [ +1*k[217]*y[28]*y[5], -1* k[218]*y[29]*y[6], +1*k[221]*y[28]*y[7], -1* k[222]*y[29]*y[5], -1*k[229]*y[0]*y[29], +1* k[230]*y[3]*y[28], +1*k[231]*y[0]*y[33], -1* k[232]*y[3]*y[29], -1*k[237]*y[8]*y[29], +1* k[238]*y[9]*y[28], +1*k[239]*y[8]*y[33], -1* k[240]*y[9]*y[29], +1*k[247]*y[33]*y[12], -1* k[248]*y[29]*y[11], -1*k[257]*y[4]*y[29], +1* k[258]*y[2]*y[28], -1*k[259]*y[4]*y[29], +1* k[260]*y[32]*y[0], -1*k[263]*y[2]*y[29], +1* k[264]*y[1]*y[28], -1*k[271]*y[2]*y[29], +1* k[272]*y[4]*y[33], +1*k[273]*y[33]*y[2], -1* k[274]*y[1]*y[29], -1*k[281]*y[28]*y[29], +1* k[282]*y[34]*y[0], +1*k[285]*y[34]*y[7], -1* k[286]*y[29]*y[31], +1*k[291]*y[32]*y[5], -1* k[292]*y[17]*y[29], -1*k[295]*y[32]*y[29], +1* k[296]*y[34]*y[2], -1*k[301]*y[29]*y[6], +1* k[302]*y[0]*y[30], -1*k[303]*y[29]*y[29], +1* k[304]*y[34]*y[3], -1*k[303]*y[29]*y[29], +1* k[304]*y[34]*y[3], +1*k[313]*y[33]*y[33], -1* k[314]*y[35]*y[29], -1*k[319]*y[29]*y[36], +1* k[320]*y[31]*y[33], +1*k[323]*y[31]*y[4], -1* k[324]*y[17]*y[29], -1*k[325]*y[29]*y[33], +1* k[326]*y[37]*y[0], -1*k[359]*y[29]*y[37], +1* k[360]*y[33]*y[38], +1*k[375]*y[38]*y[4], -1* k[376]*y[29]*y[32], -1*k[397]*y[29]*y[25], +1* k[398]*y[32]*y[2], -1*k[399]*y[29]*y[25], +1* k[400]*y[41]*y[4], -1*k[409]*y[29]*y[32], +1* k[410]*y[44]*y[0], -1*k[447]*y[29]*y[2], +1* k[448]*y[41]*y[0], +1*k[471]*y[51]*y[33], -1* k[472]*y[42]*y[29], -1*k[487]*y[39]*y[29], +1* k[488]*y[37]*y[33], -1*k[491]*y[29]*y[33], +1* k[492]*y[35]*y[28], +1*k[495]*y[3]*y[41], -1* k[496]*y[29]*y[1], +1*k[599]*y[62]*y[3], -1* k[600]*y[29]*y[0], +1*k[601]*y[62]*y[1], -1* k[602]*y[29]*y[2], +1*k[603]*y[62]*y[35], -1* k[604]*y[29]*y[33], +1*k[673]*y[42]*M, -1* k[674]*y[17]*y[29]*M, -1*k[707]*y[29]*M, +1* k[708]*y[0]*y[28]*M, +1*k[787]*y[35], -1* k[788]*y[29]*y[0]*y[0], +1*k[797]*y[42], -1* k[798]*y[29]*y[17]]
- rate_str["NCO"] = [ -1*k[469]*y[51]*y[31], +1* k[470]*y[42]*y[30], -1*k[471]*y[51]*y[33], +1* k[472]*y[42]*y[29], -1*k[473]*y[51]*y[21], +1* k[474]*y[42]*y[17], +1*k[475]*y[30]*y[18], -1* k[476]*y[17]*y[51], +1*k[477]*y[31]*y[4], -1* k[478]*y[51]*y[0], +1*k[479]*y[30]*y[2], -1* k[480]*y[51]*y[0], +1*k[481]*y[42]*y[0], -1* k[482]*y[51]*y[3], +1*k[483]*y[42]*y[4], -1* k[484]*y[51]*y[2], +1*k[485]*y[42]*y[2], -1* k[486]*y[51]*y[1], +1*k[715]*y[42]*M, -1* k[716]*y[0]*y[51], +1*k[799]*y[42], -1* k[800]*y[0]*y[51]]
- rate_str["NO"] = [ -1*k[227]*y[0]*y[32], +1* k[228]*y[2]*y[28], +1*k[259]*y[4]*y[29], -1* k[260]*y[32]*y[0], +1*k[277]*y[28]*y[18], -1* k[278]*y[17]*y[32], -1*k[279]*y[28]*y[32], +1* k[280]*y[34]*y[4], -1*k[287]*y[32]*y[6], +1* k[288]*y[4]*y[30], -1*k[289]*y[32]*y[5], +1* k[290]*y[4]*y[31], -1*k[291]*y[32]*y[5], +1* k[292]*y[17]*y[29], -1*k[293]*y[32]*y[8], +1* k[294]*y[31]*y[1], -1*k[295]*y[32]*y[29], +1* k[296]*y[34]*y[2], -1*k[297]*y[32]*y[33], +1* k[298]*y[34]*y[1], -1*k[299]*y[32]*y[30], +1* k[300]*y[34]*y[17], +1*k[309]*y[33]*y[4], -1* k[310]*y[3]*y[32], -1*k[353]*y[33]*y[32], +1* k[354]*y[38]*y[2], -1*k[355]*y[38]*y[32], +1* k[356]*y[34]*y[41], -1*k[363]*y[32]*y[7], +1* k[364]*y[42]*y[0], +1*k[375]*y[38]*y[4], -1* k[376]*y[29]*y[32], -1*k[379]*y[32]*y[8], +1* k[380]*y[36]*y[2], +1*k[395]*y[28]*y[25], -1* k[396]*y[32]*y[4], +1*k[397]*y[29]*y[25], -1* k[398]*y[32]*y[2], +1*k[403]*y[43]*y[4], -1* k[404]*y[32]*y[25], -1*k[409]*y[29]*y[32], +1* k[410]*y[44]*y[0], +1*k[415]*y[43]*y[8], -1* k[416]*y[32]*y[22], +1*k[449]*y[41]*y[2], -1* k[450]*y[32]*y[1], +1*k[451]*y[41]*y[4], -1* k[452]*y[32]*y[2], +1*k[453]*y[41]*y[0], -1* k[454]*y[32]*y[3], -1*k[455]*y[32]*y[22], +1* k[456]*y[41]*y[20], -1*k[457]*y[32]*y[21], +1* k[458]*y[41]*y[17], +1*k[465]*y[50]*y[0], -1* k[466]*y[32]*y[1], +1*k[467]*y[33]*y[41], -1* k[468]*y[32]*y[35], +1*k[587]*y[60]*y[43], -1* k[588]*y[25]*y[32], -1*k[677]*y[32]*y[4]*M, +1* k[678]*y[43]*M, -1*k[685]*y[32]*y[0]*M, +1* k[686]*y[41]*M, -1*k[687]*y[32]*y[2]*M, +1* k[688]*y[50]*M, +1*k[709]*y[4]*y[28]*M, -1* k[710]*y[32]*M, -1*k[791]*y[32], +1* k[792]*y[28]*y[4], +1*k[793]*y[43], -1* k[794]*y[32]*y[4]]
- rate_str["CH3"] = [ +1*k[11]*y[7]*y[3], -1* k[12]*y[0]*y[8], +1*k[13]*y[0]*y[9], -1* k[14]*y[8]*y[3], -1*k[17]*y[8]*y[6], +1* k[18]*y[0]*y[11], -1*k[29]*y[7]*y[8], +1* k[30]*y[0]*y[14], +1*k[31]*y[0]*y[15], -1* k[32]*y[8]*y[8], +1*k[31]*y[0]*y[15], -1* k[32]*y[8]*y[8], -1*k[39]*y[5]*y[8], +1* k[40]*y[3]*y[11], +1*k[45]*y[7]*y[7], -1* k[46]*y[5]*y[8], +1*k[49]*y[7]*y[9], -1* k[50]*y[8]*y[8], +1*k[49]*y[7]*y[9], -1* k[50]*y[8]*y[8], +1*k[51]*y[7]*y[15], -1* k[52]*y[8]*y[14], -1*k[53]*y[8]*y[2], +1* k[54]*y[7]*y[1], -1*k[59]*y[8]*y[12], +1* k[60]*y[11]*y[7], +1*k[61]*y[9]*y[12], -1* k[62]*y[8]*y[11], -1*k[63]*y[8]*y[13], +1* k[64]*y[9]*y[11], +1*k[65]*y[9]*y[13], -1* k[66]*y[8]*y[14], -1*k[67]*y[8]*y[15], +1* k[68]*y[9]*y[14], -1*k[69]*y[8]*y[16], +1* k[70]*y[9]*y[15], +1*k[71]*y[11]*y[2], -1* k[72]*y[8]*y[17], +1*k[75]*y[10]*y[9], -1* k[76]*y[8]*y[12], -1*k[105]*y[4]*y[8], +1* k[106]*y[7]*y[2], -1*k[107]*y[8]*y[2], +1* k[108]*y[4]*y[9], +1*k[115]*y[2]*y[9], -1* k[116]*y[1]*y[8], +1*k[121]*y[19]*y[0], -1* k[122]*y[2]*y[8], +1*k[125]*y[4]*y[14], -1* k[126]*y[21]*y[8], -1*k[127]*y[20]*y[8], +1* k[128]*y[9]*y[21], -1*k[129]*y[8]*y[19], +1* k[130]*y[20]*y[9], -1*k[137]*y[8]*y[4], +1* k[138]*y[20]*y[0], +1*k[145]*y[23]*y[0], -1* k[146]*y[8]*y[1], +1*k[153]*y[22]*y[17], -1* k[154]*y[8]*y[18], +1*k[169]*y[5]*y[14], -1* k[170]*y[11]*y[8], +1*k[171]*y[7]*y[13], -1* k[172]*y[11]*y[8], +1*k[175]*y[21]*y[7], -1* k[176]*y[17]*y[8], +1*k[179]*y[19]*y[7], -1* k[180]*y[20]*y[8], +1*k[181]*y[22]*y[7], -1* k[182]*y[20]*y[8], +1*k[183]*y[23]*y[7], -1* k[184]*y[22]*y[8], +1*k[185]*y[23]*y[7], -1* k[186]*y[19]*y[8], -1*k[187]*y[21]*y[8], +1* k[188]*y[17]*y[9], -1*k[189]*y[22]*y[8], +1* k[190]*y[20]*y[9], -1*k[191]*y[23]*y[8], +1* k[192]*y[22]*y[9], +1*k[193]*y[24]*y[0], -1* k[194]*y[21]*y[8], -1*k[195]*y[24]*y[8], +1* k[196]*y[17]*y[16], +1*k[201]*y[0]*y[26], -1* k[202]*y[17]*y[8], -1*k[237]*y[8]*y[29], +1* k[238]*y[9]*y[28], -1*k[239]*y[8]*y[33], +1* k[240]*y[9]*y[29], -1*k[241]*y[8]*y[30], +1* k[242]*y[7]*y[31], +1*k[243]*y[9]*y[30], -1* k[244]*y[31]*y[8], -1*k[293]*y[32]*y[8], +1* k[294]*y[31]*y[1], +1*k[307]*y[33]*y[9], -1* k[308]*y[8]*y[35], -1*k[333]*y[37]*y[8], +1* k[334]*y[38]*y[9], -1*k[369]*y[8]*y[28], +1* k[370]*y[36]*y[0], -1*k[371]*y[8]*y[28], +1* k[372]*y[31]*y[3], -1*k[373]*y[8]*y[33], +1* k[374]*y[35]*y[7], -1*k[379]*y[32]*y[8], +1* k[380]*y[36]*y[2], +1*k[383]*y[4]*y[22], -1* k[384]*y[25]*y[8], -1*k[389]*y[25]*y[8], +1* k[390]*y[2]*y[20], -1*k[415]*y[43]*y[8], +1* k[416]*y[32]*y[22], -1*k[425]*y[46]*y[8], +1* k[426]*y[33]*y[15], -1*k[433]*y[8]*y[33], +1* k[434]*y[47]*y[3], -1*k[435]*y[8]*y[33], +1* k[436]*y[46]*y[0], -1*k[437]*y[48]*y[8], +1* k[438]*y[46]*y[9], +1*k[515]*y[25]*y[9], -1* k[516]*y[8]*y[52], +1*k[529]*y[0]*y[55], -1* k[530]*y[31]*y[8], +1*k[547]*y[52]*y[9], -1* k[548]*y[8]*y[53], +1*k[553]*y[12]*y[15], -1* k[554]*y[58]*y[8], +1*k[555]*y[13]*y[13], -1* k[556]*y[8]*y[58], -1*k[573]*y[8]*y[12], +1* k[574]*y[58]*y[0], +1*k[577]*y[60]*y[9], -1* k[578]*y[2]*y[8], +1*k[589]*y[61]*y[3], -1* k[590]*y[8]*y[0], -1*k[615]*y[0]*y[8]*M, +1* k[616]*y[9]*M, +1*k[629]*y[7]*y[0]*M, -1* k[630]*y[8]*M, +1*k[631]*y[5]*y[3]*M, -1* k[632]*y[8]*M, -1*k[633]*y[8]*y[8]*M, +1* k[634]*y[16]*M, -1*k[633]*y[8]*y[8]*M, +1* k[634]*y[16]*M, -1*k[655]*y[17]*y[8]*M, +1* k[656]*y[24]*M, -1*k[683]*y[33]*y[8]*M, +1* k[684]*y[48]*M, -1*k[719]*y[2]*y[8]*M, +1* k[720]*y[23]*M, +1*k[727]*y[9], -1* k[728]*y[8]*y[0], -1*k[735]*y[8], +1* k[736]*y[5]*y[3], -1*k[737]*y[8], +1* k[738]*y[61]*y[0], +1*k[763]*y[16], -1* k[764]*y[8]*y[8], +1*k[763]*y[16], -1* k[764]*y[8]*y[8], +1*k[773]*y[23], -1* k[774]*y[8]*y[2], +1*k[781]*y[49], -1* k[782]*y[8]*y[21]]
- rate_str["C2"] = [ +1*k[15]*y[6]*y[5], -1* k[16]*y[10]*y[0], -1*k[41]*y[10]*y[4], +1* k[42]*y[6]*y[17], -1*k[73]*y[10]*y[3], +1* k[74]*y[0]*y[12], -1*k[75]*y[10]*y[9], +1* k[76]*y[8]*y[12], -1*k[225]*y[28]*y[10], +1* k[226]*y[30]*y[6], -1*k[245]*y[10]*y[34], +1* k[246]*y[30]*y[30], -1*k[541]*y[57]*y[10], +1* k[542]*y[31]*y[45], -1*k[543]*y[57]*y[10], +1* k[544]*y[54]*y[11], +1*k[689]*y[6]*y[6]*M, -1* k[690]*y[10]*M, +1*k[703]*y[12]*M, -1* k[704]*y[10]*y[0]*M, +1*k[811]*y[45], -1* k[812]*y[11]*y[10]]
- rate_str["C2H"] = [ -1*k[19]*y[3]*y[12], +1* k[20]*y[0]*y[11], -1*k[55]*y[12]*y[2], +1* k[56]*y[7]*y[17], -1*k[59]*y[8]*y[12], +1* k[60]*y[11]*y[7], -1*k[61]*y[9]*y[12], +1* k[62]*y[8]*y[11], +1*k[73]*y[10]*y[3], -1* k[74]*y[0]*y[12], +1*k[75]*y[10]*y[9], -1* k[76]*y[8]*y[12], -1*k[77]*y[12]*y[7], +1* k[78]*y[5]*y[11], -1*k[79]*y[12]*y[16], +1* k[80]*y[11]*y[15], -1*k[81]*y[12]*y[4], +1* k[82]*y[5]*y[17], -1*k[83]*y[12]*y[2], +1* k[84]*y[11]*y[4], -1*k[85]*y[12]*y[1], +1* k[86]*y[11]*y[2], -1*k[157]*y[21]*y[12], +1* k[158]*y[11]*y[17], -1*k[159]*y[19]*y[12], +1* k[160]*y[20]*y[11], -1*k[161]*y[22]*y[12], +1* k[162]*y[20]*y[11], -1*k[163]*y[23]*y[12], +1* k[164]*y[19]*y[11], -1*k[165]*y[23]*y[12], +1* k[166]*y[22]*y[11], -1*k[247]*y[33]*y[12], +1* k[248]*y[29]*y[11], -1*k[391]*y[25]*y[12], +1* k[392]*y[17]*y[21], -1*k[419]*y[12]*y[11], +1* k[420]*y[45]*y[0], -1*k[527]*y[31]*y[12], +1* k[528]*y[54]*y[0], -1*k[553]*y[12]*y[15], +1* k[554]*y[58]*y[8], -1*k[559]*y[19]*y[12], +1* k[560]*y[2]*y[58], -1*k[569]*y[7]*y[12], +1* k[570]*y[59]*y[0], -1*k[573]*y[8]*y[12], +1* k[574]*y[58]*y[0], -1*k[635]*y[12]*y[0]*M, +1* k[636]*y[11]*M, -1*k[703]*y[12]*M, +1* k[704]*y[10]*y[0]*M, +1*k[743]*y[11], -1* k[744]*y[12]*y[0]]
- rate_str["CH3NH2"] = [ -1*k[423]*y[48]*y[33], +1* k[424]*y[46]*y[35], -1*k[429]*y[48]*y[0], +1* k[430]*y[46]*y[3], -1*k[437]*y[48]*y[8], +1* k[438]*y[46]*y[9], +1*k[683]*y[33]*y[8]*M, -1* k[684]*y[48]*M]
- rate_str["C2H3CN"] = [ +1*k[537]*y[30]*y[14], -1* k[538]*y[57]*y[0], +1*k[539]*y[31]*y[13], -1* k[540]*y[57]*y[0], -1*k[541]*y[57]*y[10], +1* k[542]*y[31]*y[45], -1*k[543]*y[57]*y[10], +1* k[544]*y[54]*y[11]]
- rate_str["HC3N"] = [ +1*k[525]*y[30]*y[11], -1* k[526]*y[54]*y[0], +1*k[527]*y[31]*y[12], -1* k[528]*y[54]*y[0], +1*k[543]*y[57]*y[10], -1* k[544]*y[54]*y[11], +1*k[561]*y[28]*y[58], -1* k[562]*y[54]*y[3], +1*k[563]*y[28]*y[59], -1* k[564]*y[54]*y[0]]
- rate_str["CH2_1"] = [ -1*k[589]*y[61]*y[3], +1* k[590]*y[8]*y[0], -1*k[591]*y[61]*y[3], +1* k[592]*y[7]*y[3], -1*k[593]*y[61]*y[1], +1* k[594]*y[7]*y[1], -1*k[595]*y[61]*y[17], +1* k[596]*y[7]*y[17], -1*k[597]*y[61]*y[11], +1* k[598]*y[58]*y[0], +1*k[729]*y[9], -1* k[730]*y[61]*y[3], +1*k[731]*y[9], -1* k[732]*y[61]*y[0]*y[0], +1*k[737]*y[8], -1* k[738]*y[61]*y[0], +1*k[761]*y[16], -1* k[762]*y[9]*y[61]]
- rate_str["CH2"] = [ -1*k[9]*y[0]*y[7], +1* k[10]*y[5]*y[3], -1*k[11]*y[7]*y[3], +1* k[12]*y[0]*y[8], -1*k[21]*y[5]*y[7], +1* k[22]*y[0]*y[11], -1*k[29]*y[7]*y[8], +1* k[30]*y[0]*y[14], -1*k[43]*y[7]*y[7], +1* k[44]*y[11]*y[0]*y[0], -1*k[43]*y[7]*y[7], +1* k[44]*y[11]*y[0]*y[0], -1*k[45]*y[7]*y[7], +1* k[46]*y[5]*y[8], -1*k[45]*y[7]*y[7], +1* k[46]*y[5]*y[8], -1*k[47]*y[7]*y[7], +1* k[48]*y[0]*y[13], -1*k[47]*y[7]*y[7], +1* k[48]*y[0]*y[13], -1*k[49]*y[7]*y[9], +1* k[50]*y[8]*y[8], -1*k[51]*y[7]*y[15], +1* k[52]*y[8]*y[14], +1*k[53]*y[8]*y[2], -1* k[54]*y[7]*y[1], +1*k[55]*y[12]*y[2], -1* k[56]*y[7]*y[17], +1*k[57]*y[11]*y[4], -1* k[58]*y[7]*y[17], +1*k[59]*y[8]*y[12], -1* k[60]*y[11]*y[7], -1*k[77]*y[12]*y[7], +1* k[78]*y[5]*y[11], +1*k[105]*y[4]*y[8], -1* k[106]*y[7]*y[2], -1*k[113]*y[2]*y[7], +1* k[114]*y[1]*y[5], -1*k[147]*y[7]*y[4], +1* k[148]*y[17]*y[0]*y[0], -1*k[149]*y[7]*y[2], +1* k[150]*y[20]*y[0], -1*k[151]*y[18]*y[7], +1* k[152]*y[20]*y[17], -1*k[171]*y[7]*y[13], +1* k[172]*y[11]*y[8], -1*k[173]*y[4]*y[7], +1* k[174]*y[17]*y[3], -1*k[175]*y[21]*y[7], +1* k[176]*y[17]*y[8], -1*k[177]*y[19]*y[7], +1* k[178]*y[2]*y[14], -1*k[179]*y[19]*y[7], +1* k[180]*y[20]*y[8], -1*k[181]*y[22]*y[7], +1* k[182]*y[20]*y[8], -1*k[183]*y[23]*y[7], +1* k[184]*y[22]*y[8], -1*k[185]*y[23]*y[7], +1* k[186]*y[19]*y[8], +1*k[207]*y[27]*y[0], -1* k[208]*y[17]*y[7], -1*k[221]*y[28]*y[7], +1* k[222]*y[29]*y[5], -1*k[223]*y[28]*y[7], +1* k[224]*y[31]*y[0], -1*k[235]*y[7]*y[30], +1* k[236]*y[5]*y[31], +1*k[241]*y[8]*y[30], -1* k[242]*y[7]*y[31], -1*k[285]*y[34]*y[7], +1* k[286]*y[29]*y[31], +1*k[315]*y[35]*y[5], -1* k[316]*y[33]*y[7], -1*k[363]*y[32]*y[7], +1* k[364]*y[42]*y[0], +1*k[373]*y[8]*y[33], -1* k[374]*y[35]*y[7], -1*k[387]*y[25]*y[7], +1* k[388]*y[1]*y[17], -1*k[565]*y[7]*y[11], +1* k[566]*y[59]*y[3], -1*k[567]*y[7]*y[11], +1* k[568]*y[58]*y[0], -1*k[569]*y[7]*y[12], +1* k[570]*y[59]*y[0], +1*k[591]*y[61]*y[3], -1* k[592]*y[7]*y[3], +1*k[593]*y[61]*y[1], -1* k[594]*y[7]*y[1], +1*k[595]*y[61]*y[17], -1* k[596]*y[7]*y[17], +1*k[613]*y[0]*y[5]*M, -1* k[614]*y[7]*M, +1*k[625]*y[3]*y[6]*M, -1* k[626]*y[7]*M, -1*k[629]*y[7]*y[0]*M, +1* k[630]*y[8]*M, -1*k[813]*y[7], +1* k[814]*y[5]*y[0]]
- rate_str["C2H3"] = [ -1*k[23]*y[0]*y[13], +1* k[24]*y[11]*y[3], -1*k[25]*y[3]*y[13], +1* k[26]*y[0]*y[14], +1*k[47]*y[7]*y[7], -1* k[48]*y[0]*y[13], -1*k[63]*y[8]*y[13], +1* k[64]*y[9]*y[11], -1*k[65]*y[9]*y[13], +1* k[66]*y[8]*y[14], -1*k[87]*y[13]*y[13], +1* k[88]*y[14]*y[11], -1*k[87]*y[13]*y[13], +1* k[88]*y[14]*y[11], -1*k[89]*y[13]*y[15], +1* k[90]*y[14]*y[14], -1*k[91]*y[13]*y[15], +1* k[92]*y[16]*y[11], +1*k[93]*y[14]*y[2], -1* k[94]*y[13]*y[1], +1*k[97]*y[15]*y[14], -1* k[98]*y[13]*y[16], -1*k[117]*y[2]*y[13], +1* k[118]*y[1]*y[11], -1*k[167]*y[4]*y[13], +1* k[168]*y[11]*y[2], -1*k[171]*y[7]*y[13], +1* k[172]*y[11]*y[8], -1*k[203]*y[4]*y[13], +1* k[204]*y[26]*y[0], -1*k[249]*y[33]*y[13], +1* k[250]*y[35]*y[11], +1*k[251]*y[33]*y[14], -1* k[252]*y[35]*y[13], -1*k[393]*y[25]*y[13], +1* k[394]*y[20]*y[21], -1*k[539]*y[31]*y[13], +1* k[540]*y[57]*y[0], -1*k[545]*y[28]*y[13], +1* k[546]*y[56]*y[0], -1*k[555]*y[13]*y[13], +1* k[556]*y[8]*y[58], -1*k[555]*y[13]*y[13], +1* k[556]*y[8]*y[58], +1*k[557]*y[58]*y[2], -1* k[558]*y[21]*y[13], +1*k[617]*y[0]*y[11]*M, -1* k[618]*y[13]*M, -1*k[619]*y[0]*y[13]*M, +1* k[620]*y[14]*M, +1*k[753]*y[14], -1* k[754]*y[13]*y[0]]
- rate_str["C2H2"] = [ +1*k[17]*y[8]*y[6], -1* k[18]*y[0]*y[11], +1*k[19]*y[3]*y[12], -1* k[20]*y[0]*y[11], +1*k[21]*y[5]*y[7], -1* k[22]*y[0]*y[11], +1*k[23]*y[0]*y[13], -1* k[24]*y[11]*y[3], +1*k[39]*y[5]*y[8], -1* k[40]*y[3]*y[11], +1*k[43]*y[7]*y[7], -1* k[44]*y[11]*y[0]*y[0], -1*k[57]*y[11]*y[4], +1* k[58]*y[7]*y[17], +1*k[59]*y[8]*y[12], -1* k[60]*y[11]*y[7], +1*k[61]*y[9]*y[12], -1* k[62]*y[8]*y[11], +1*k[63]*y[8]*y[13], -1* k[64]*y[9]*y[11], -1*k[71]*y[11]*y[2], +1* k[72]*y[8]*y[17], +1*k[77]*y[12]*y[7], -1* k[78]*y[5]*y[11], +1*k[79]*y[12]*y[16], -1* k[80]*y[11]*y[15], +1*k[83]*y[12]*y[2], -1* k[84]*y[11]*y[4], +1*k[85]*y[12]*y[1], -1* k[86]*y[11]*y[2], +1*k[87]*y[13]*y[13], -1* k[88]*y[14]*y[11], +1*k[91]*y[13]*y[15], -1* k[92]*y[16]*y[11], +1*k[117]*y[2]*y[13], -1* k[118]*y[1]*y[11], +1*k[157]*y[21]*y[12], -1* k[158]*y[11]*y[17], +1*k[159]*y[19]*y[12], -1* k[160]*y[20]*y[11], +1*k[161]*y[22]*y[12], -1* k[162]*y[20]*y[11], +1*k[163]*y[23]*y[12], -1* k[164]*y[19]*y[11], +1*k[165]*y[23]*y[12], -1* k[166]*y[22]*y[11], +1*k[167]*y[4]*y[13], -1* k[168]*y[11]*y[2], +1*k[169]*y[5]*y[14], -1* k[170]*y[11]*y[8], +1*k[171]*y[7]*y[13], -1* k[172]*y[11]*y[8], -1*k[205]*y[11]*y[4], +1* k[206]*y[27]*y[0], +1*k[247]*y[33]*y[12], -1* k[248]*y[29]*y[11], +1*k[249]*y[33]*y[13], -1* k[250]*y[35]*y[11], -1*k[419]*y[12]*y[11], +1* k[420]*y[45]*y[0], -1*k[525]*y[30]*y[11], +1* k[526]*y[54]*y[0], +1*k[543]*y[57]*y[10], -1* k[544]*y[54]*y[11], -1*k[565]*y[7]*y[11], +1* k[566]*y[59]*y[3], -1*k[567]*y[7]*y[11], +1* k[568]*y[58]*y[0], -1*k[571]*y[5]*y[11], +1* k[572]*y[59]*y[0], -1*k[597]*y[61]*y[11], +1* k[598]*y[58]*y[0], -1*k[617]*y[0]*y[11]*M, +1* k[618]*y[13]*M, +1*k[635]*y[12]*y[0]*M, -1* k[636]*y[11]*M, +1*k[637]*y[14]*M, -1* k[638]*y[11]*y[3]*M, -1*k[653]*y[2]*y[11]*M, +1* k[654]*y[24]*M, -1*k[743]*y[11], +1* k[744]*y[12]*y[0], +1*k[749]*y[14], -1* k[750]*y[11]*y[3], +1*k[751]*y[14], -1* k[752]*y[11]*y[0]*y[0], +1*k[759]*y[16], -1* k[760]*y[11]*y[3]*y[3], +1*k[809]*y[64], -1* k[810]*y[11]*y[11]*y[11], +1*k[809]*y[64], -1* k[810]*y[11]*y[11]*y[11], +1*k[809]*y[64], -1* k[810]*y[11]*y[11]*y[11], +1*k[811]*y[45], -1* k[812]*y[11]*y[10]]
- rate_str["CO2"] = [ +1*k[37]*y[2]*y[17], -1* k[38]*y[0]*y[18], -1*k[135]*y[18]*y[5], +1* k[136]*y[21]*y[17], -1*k[151]*y[18]*y[7], +1* k[152]*y[20]*y[17], +1*k[153]*y[22]*y[17], -1* k[154]*y[8]*y[18], -1*k[277]*y[28]*y[18], +1* k[278]*y[17]*y[32], -1*k[475]*y[30]*y[18], +1* k[476]*y[17]*y[51], +1*k[503]*y[17]*y[52], -1* k[504]*y[18]*y[2], -1*k[581]*y[60]*y[18], +1* k[582]*y[4]*y[18], +1*k[581]*y[60]*y[18], -1* k[582]*y[4]*y[18], +1*k[585]*y[60]*y[17], -1* k[586]*y[18], +1*k[641]*y[17]*y[4]*M, -1* k[642]*y[18]*M, -1*k[745]*y[18], +1* k[746]*y[17]*y[4], -1*k[747]*y[18], +1* k[748]*y[17]*y[60]]
- rate_str["C3H3"] = [ +1*k[553]*y[12]*y[15], -1* k[554]*y[58]*y[8], +1*k[555]*y[13]*y[13], -1* k[556]*y[8]*y[58], -1*k[557]*y[58]*y[2], +1* k[558]*y[21]*y[13], +1*k[559]*y[19]*y[12], -1* k[560]*y[2]*y[58], -1*k[561]*y[28]*y[58], +1* k[562]*y[54]*y[3], +1*k[567]*y[7]*y[11], -1* k[568]*y[58]*y[0], +1*k[573]*y[8]*y[12], -1* k[574]*y[58]*y[0], +1*k[597]*y[61]*y[11], -1* k[598]*y[58]*y[0], +1*k[699]*y[59]*y[0]*M, -1* k[700]*y[58]*M, -1*k[701]*y[58]*y[58]*M, +1* k[702]*y[64]*M, -1*k[701]*y[58]*y[58]*M, +1* k[702]*y[64]*M, +1*k[807]*y[64], -1* k[808]*y[58]*y[58], +1*k[807]*y[64], -1* k[808]*y[58]*y[58]]
- rate_str["HCO"] = [ +1*k[123]*y[20]*y[0], -1* k[124]*y[21]*y[3], +1*k[125]*y[4]*y[14], -1* k[126]*y[21]*y[8], +1*k[127]*y[20]*y[8], -1* k[128]*y[9]*y[21], -1*k[131]*y[21]*y[0], +1* k[132]*y[17]*y[3], -1*k[133]*y[21]*y[2], +1* k[134]*y[17]*y[1], +1*k[135]*y[18]*y[5], -1* k[136]*y[21]*y[17], -1*k[157]*y[21]*y[12], +1* k[158]*y[11]*y[17], -1*k[175]*y[21]*y[7], +1* k[176]*y[17]*y[8], -1*k[187]*y[21]*y[8], +1* k[188]*y[17]*y[9], +1*k[193]*y[24]*y[0], -1* k[194]*y[21]*y[8], +1*k[209]*y[4]*y[20], -1* k[210]*y[21]*y[2], -1*k[211]*y[21]*y[21], +1* k[212]*y[20]*y[17], -1*k[211]*y[21]*y[21], +1* k[212]*y[20]*y[17], +1*k[391]*y[25]*y[12], -1* k[392]*y[17]*y[21], +1*k[393]*y[25]*y[13], -1* k[394]*y[20]*y[21], -1*k[457]*y[32]*y[21], +1* k[458]*y[41]*y[17], -1*k[473]*y[51]*y[21], +1* k[474]*y[42]*y[17], -1*k[519]*y[21]*y[25], +1* k[520]*y[17]*y[52], +1*k[557]*y[58]*y[2], -1* k[558]*y[21]*y[13], +1*k[645]*y[0]*y[17]*M, -1* k[646]*y[21]*M, -1*k[657]*y[21]*y[0]*M, +1* k[658]*y[20]*M, -1*k[767]*y[21], +1* k[768]*y[0]*y[17], +1*k[771]*y[20], -1* k[772]*y[0]*y[21], +1*k[781]*y[49], -1* k[782]*y[8]*y[21]]
- rate_str["C2H6"] = [ -1*k[35]*y[0]*y[16], +1* k[36]*y[15]*y[3], -1*k[69]*y[8]*y[16], +1* k[70]*y[9]*y[15], -1*k[79]*y[12]*y[16], +1* k[80]*y[11]*y[15], +1*k[91]*y[13]*y[15], -1* k[92]*y[16]*y[11], +1*k[95]*y[15]*y[15], -1* k[96]*y[14]*y[16], +1*k[97]*y[15]*y[14], -1* k[98]*y[13]*y[16], -1*k[99]*y[16]*y[2], +1* k[100]*y[15]*y[1], -1*k[109]*y[4]*y[16], +1* k[110]*y[2]*y[15], +1*k[195]*y[24]*y[8], -1* k[196]*y[17]*y[16], -1*k[255]*y[33]*y[16], +1* k[256]*y[35]*y[15], -1*k[321]*y[30]*y[16], +1* k[322]*y[15]*y[31], -1*k[517]*y[25]*y[16], +1* k[518]*y[15]*y[52], +1*k[623]*y[0]*y[15]*M, -1* k[624]*y[16]*M, +1*k[633]*y[8]*y[8]*M, -1* k[634]*y[16]*M, -1*k[639]*y[16]*M, +1* k[640]*y[14]*y[3]*M, -1*k[755]*y[16], +1* k[756]*y[14]*y[3], -1*k[757]*y[16], +1* k[758]*y[14]*y[0]*y[0], -1*k[759]*y[16], +1* k[760]*y[11]*y[3]*y[3], -1*k[761]*y[16], +1* k[762]*y[9]*y[61], -1*k[763]*y[16], +1* k[764]*y[8]*y[8]]
- rate_str["O"] = [ -1*k[3]*y[4]*y[3], +1* k[4]*y[2]*y[0], -1*k[5]*y[4]*y[1], +1* k[6]*y[2]*y[2], -1*k[41]*y[10]*y[4], +1* k[42]*y[6]*y[17], -1*k[57]*y[11]*y[4], +1* k[58]*y[7]*y[17], -1*k[81]*y[12]*y[4], +1* k[82]*y[5]*y[17], +1*k[83]*y[12]*y[2], -1* k[84]*y[11]*y[4], -1*k[101]*y[5]*y[4], +1* k[102]*y[2]*y[6], -1*k[103]*y[4]*y[5], +1* k[104]*y[0]*y[17], -1*k[105]*y[4]*y[8], +1* k[106]*y[7]*y[2], +1*k[107]*y[8]*y[2], -1* k[108]*y[4]*y[9], -1*k[109]*y[4]*y[16], +1* k[110]*y[2]*y[15], -1*k[125]*y[4]*y[14], +1* k[126]*y[21]*y[8], -1*k[137]*y[8]*y[4], +1* k[138]*y[20]*y[0], -1*k[139]*y[22]*y[4], +1* k[140]*y[20]*y[2], -1*k[147]*y[7]*y[4], +1* k[148]*y[17]*y[0]*y[0], -1*k[167]*y[4]*y[13], +1* k[168]*y[11]*y[2], -1*k[173]*y[4]*y[7], +1* k[174]*y[17]*y[3], -1*k[197]*y[4]*y[2], +1* k[198]*y[25]*y[0], -1*k[203]*y[4]*y[13], +1* k[204]*y[26]*y[0], -1*k[205]*y[11]*y[4], +1* k[206]*y[27]*y[0], -1*k[209]*y[4]*y[20], +1* k[210]*y[21]*y[2], -1*k[257]*y[4]*y[29], +1* k[258]*y[2]*y[28], -1*k[259]*y[4]*y[29], +1* k[260]*y[32]*y[0], -1*k[261]*y[4]*y[35], +1* k[262]*y[2]*y[33], +1*k[265]*y[2]*y[30], -1* k[266]*y[4]*y[31], +1*k[271]*y[2]*y[29], -1* k[272]*y[4]*y[33], -1*k[275]*y[30]*y[4], +1* k[276]*y[28]*y[17], +1*k[279]*y[28]*y[32], -1* k[280]*y[34]*y[4], +1*k[287]*y[32]*y[6], -1* k[288]*y[4]*y[30], +1*k[289]*y[32]*y[5], -1* k[290]*y[4]*y[31], -1*k[309]*y[33]*y[4], +1* k[310]*y[3]*y[32], -1*k[323]*y[31]*y[4], +1* k[324]*y[17]*y[29], -1*k[339]*y[39]*y[4], +1* k[340]*y[37]*y[2], -1*k[349]*y[38]*y[4], +1* k[350]*y[34]*y[2], -1*k[357]*y[37]*y[4], +1* k[358]*y[38]*y[2], -1*k[375]*y[38]*y[4], +1* k[376]*y[29]*y[32], -1*k[383]*y[4]*y[22], +1* k[384]*y[25]*y[8], +1*k[385]*y[25]*y[6], -1* k[386]*y[4]*y[17], +1*k[395]*y[28]*y[25], -1* k[396]*y[32]*y[4], +1*k[399]*y[29]*y[25], -1* k[400]*y[41]*y[4], -1*k[403]*y[43]*y[4], +1* k[404]*y[32]*y[25], -1*k[405]*y[44]*y[4], +1* k[406]*y[34]*y[25], -1*k[443]*y[4]*y[15], +1* k[444]*y[49]*y[0], -1*k[451]*y[41]*y[4], +1* k[452]*y[32]*y[2], -1*k[477]*y[31]*y[4], +1* k[478]*y[51]*y[0], -1*k[483]*y[42]*y[4], +1* k[484]*y[51]*y[2], -1*k[493]*y[33]*y[4], +1* k[494]*y[41]*y[0], +1*k[499]*y[52]*y[0], -1* k[500]*y[4]*y[1], -1*k[505]*y[4]*y[53], +1* k[506]*y[2]*y[52], -1*k[513]*y[4]*y[52], +1* k[514]*y[2]*y[25], -1*k[535]*y[55]*y[4], +1* k[536]*y[56]*y[2], +1*k[581]*y[60]*y[18], -1* k[582]*y[4]*y[18], -1*k[609]*y[0]*y[4]*M, +1* k[610]*y[2]*M, -1*k[641]*y[17]*y[4]*M, +1* k[642]*y[18]*M, -1*k[677]*y[32]*y[4]*M, +1* k[678]*y[43]*M, +1*k[679]*y[44]*M, -1* k[680]*y[34]*y[4]*M, -1*k[705]*y[4]*y[6]*M, +1* k[706]*y[17]*M, -1*k[709]*y[4]*y[28]*M, +1* k[710]*y[32]*M, -1*k[713]*y[4]*y[4]*M, +1* k[714]*y[25]*M, -1*k[713]*y[4]*y[4]*M, +1* k[714]*y[25]*M, +1*k[725]*y[1], -1* k[726]*y[0]*y[0]*y[4], +1*k[739]*y[17], -1* k[740]*y[6]*y[4], +1*k[745]*y[18], -1* k[746]*y[17]*y[4], +1*k[765]*y[2], -1* k[766]*y[0]*y[4], +1*k[791]*y[32], -1* k[792]*y[28]*y[4], +1*k[793]*y[43], -1* k[794]*y[32]*y[4], +1*k[801]*y[52], -1* k[802]*y[4]*y[2], +1*k[803]*y[25], -1* k[804]*y[4]*y[4], +1*k[803]*y[25], -1* k[804]*y[4]*y[4], +1*k[805]*y[25], -1* k[806]*y[4]*y[60]]
- rate_str["H2O"] = [ -1*k[1]*y[0]*y[1], +1* k[2]*y[2]*y[3], -1*k[5]*y[4]*y[1], +1* k[6]*y[2]*y[2], +1*k[53]*y[8]*y[2], -1* k[54]*y[7]*y[1], -1*k[85]*y[12]*y[1], +1* k[86]*y[11]*y[2], +1*k[93]*y[14]*y[2], -1* k[94]*y[13]*y[1], +1*k[99]*y[16]*y[2], -1* k[100]*y[15]*y[1], +1*k[113]*y[2]*y[7], -1* k[114]*y[1]*y[5], +1*k[115]*y[2]*y[9], -1* k[116]*y[1]*y[8], +1*k[117]*y[2]*y[13], -1* k[118]*y[1]*y[11], +1*k[119]*y[2]*y[15], -1* k[120]*y[1]*y[14], +1*k[133]*y[21]*y[2], -1* k[134]*y[17]*y[1], +1*k[141]*y[22]*y[2], -1* k[142]*y[20]*y[1], +1*k[145]*y[23]*y[0], -1* k[146]*y[8]*y[1], +1*k[263]*y[2]*y[29], -1* k[264]*y[1]*y[28], +1*k[267]*y[2]*y[31], -1* k[268]*y[1]*y[30], +1*k[273]*y[33]*y[2], -1* k[274]*y[1]*y[29], +1*k[293]*y[32]*y[8], -1* k[294]*y[31]*y[1], +1*k[297]*y[32]*y[33], -1* k[298]*y[34]*y[1], -1*k[311]*y[33]*y[1], +1* k[312]*y[35]*y[2], +1*k[335]*y[37]*y[2], -1* k[336]*y[38]*y[1], +1*k[341]*y[39]*y[2], -1* k[342]*y[37]*y[1], +1*k[347]*y[38]*y[2], -1* k[348]*y[34]*y[1], +1*k[361]*y[36]*y[2], -1* k[362]*y[31]*y[1], +1*k[387]*y[25]*y[7], -1* k[388]*y[1]*y[17], +1*k[411]*y[33]*y[43], -1* k[412]*y[44]*y[1], +1*k[413]*y[41]*y[41], -1* k[414]*y[44]*y[1], -1*k[441]*y[5]*y[1], +1* k[442]*y[20]*y[0], +1*k[449]*y[41]*y[2], -1* k[450]*y[32]*y[1], +1*k[459]*y[50]*y[2], -1* k[460]*y[43]*y[1], +1*k[465]*y[50]*y[0], -1* k[466]*y[32]*y[1], +1*k[485]*y[42]*y[2], -1* k[486]*y[51]*y[1], +1*k[495]*y[3]*y[41], -1* k[496]*y[29]*y[1], +1*k[499]*y[52]*y[0], -1* k[500]*y[4]*y[1], +1*k[507]*y[2]*y[53], -1* k[508]*y[1]*y[52], +1*k[511]*y[53]*y[0], -1* k[512]*y[2]*y[1], +1*k[521]*y[2]*y[52], -1* k[522]*y[1]*y[25], +1*k[533]*y[55]*y[2], -1* k[534]*y[56]*y[1], -1*k[579]*y[60]*y[1], +1* k[580]*y[2]*y[2], -1*k[593]*y[61]*y[1], +1* k[594]*y[7]*y[1], +1*k[593]*y[61]*y[1], -1* k[594]*y[7]*y[1], -1*k[601]*y[62]*y[1], +1* k[602]*y[29]*y[2], +1*k[611]*y[2]*y[0]*M, -1* k[612]*y[1]*M, -1*k[647]*y[1]*y[5]*M, +1* k[648]*y[19]*M, -1*k[721]*y[1], +1* k[722]*y[0]*y[2], -1*k[723]*y[1], +1* k[724]*y[3]*y[60], -1*k[725]*y[1], +1* k[726]*y[0]*y[0]*y[4]]
- rate_str["CH2NH"] = [ +1*k[421]*y[46]*y[0], -1* k[422]*y[47]*y[3], -1*k[431]*y[47]*y[0], +1* k[432]*y[36]*y[3], +1*k[433]*y[8]*y[33], -1* k[434]*y[47]*y[3]]
- rate_str["N2H"] = [ +1*k[327]*y[33]*y[37], -1* k[328]*y[35]*y[38], +1*k[331]*y[37]*y[0], -1* k[332]*y[38]*y[3], +1*k[333]*y[37]*y[8], -1* k[334]*y[38]*y[9], +1*k[335]*y[37]*y[2], -1* k[336]*y[38]*y[1], -1*k[345]*y[38]*y[0], +1* k[346]*y[34]*y[3], -1*k[347]*y[38]*y[2], +1* k[348]*y[34]*y[1], -1*k[349]*y[38]*y[4], +1* k[350]*y[34]*y[2], -1*k[351]*y[38]*y[33], +1* k[352]*y[34]*y[35], +1*k[353]*y[33]*y[32], -1* k[354]*y[38]*y[2], -1*k[355]*y[38]*y[32], +1* k[356]*y[34]*y[41], +1*k[357]*y[37]*y[4], -1* k[358]*y[38]*y[2], +1*k[359]*y[29]*y[37], -1* k[360]*y[33]*y[38], -1*k[375]*y[38]*y[4], +1* k[376]*y[29]*y[32], +1*k[551]*y[28]*y[35], -1* k[552]*y[38]*y[3], -1*k[681]*y[38]*M, +1* k[682]*y[34]*y[0]*M, +1*k[711]*y[37]*M, -1* k[712]*y[38]*y[0]*M]
- rate_str["CH4"] = [ -1*k[13]*y[0]*y[9], +1* k[14]*y[8]*y[3], -1*k[27]*y[5]*y[9], +1* k[28]*y[0]*y[14], -1*k[49]*y[7]*y[9], +1* k[50]*y[8]*y[8], -1*k[61]*y[9]*y[12], +1* k[62]*y[8]*y[11], +1*k[63]*y[8]*y[13], -1* k[64]*y[9]*y[11], -1*k[65]*y[9]*y[13], +1* k[66]*y[8]*y[14], +1*k[67]*y[8]*y[15], -1* k[68]*y[9]*y[14], +1*k[69]*y[8]*y[16], -1* k[70]*y[9]*y[15], -1*k[75]*y[10]*y[9], +1* k[76]*y[8]*y[12], +1*k[107]*y[8]*y[2], -1* k[108]*y[4]*y[9], -1*k[115]*y[2]*y[9], +1* k[116]*y[1]*y[8], +1*k[127]*y[20]*y[8], -1* k[128]*y[9]*y[21], +1*k[129]*y[8]*y[19], -1* k[130]*y[20]*y[9], +1*k[187]*y[21]*y[8], -1* k[188]*y[17]*y[9], +1*k[189]*y[22]*y[8], -1* k[190]*y[20]*y[9], +1*k[191]*y[23]*y[8], -1* k[192]*y[22]*y[9], +1*k[237]*y[8]*y[29], -1* k[238]*y[9]*y[28], +1*k[239]*y[8]*y[33], -1* k[240]*y[9]*y[29], -1*k[243]*y[9]*y[30], +1* k[244]*y[31]*y[8], -1*k[307]*y[33]*y[9], +1* k[308]*y[8]*y[35], +1*k[333]*y[37]*y[8], -1* k[334]*y[38]*y[9], +1*k[437]*y[48]*y[8], -1* k[438]*y[46]*y[9], -1*k[515]*y[25]*y[9], +1* k[516]*y[8]*y[52], -1*k[547]*y[52]*y[9], +1* k[548]*y[8]*y[53], -1*k[577]*y[60]*y[9], +1* k[578]*y[2]*y[8], +1*k[615]*y[0]*y[8]*M, -1* k[616]*y[9]*M, -1*k[727]*y[9], +1* k[728]*y[8]*y[0], -1*k[729]*y[9], +1* k[730]*y[61]*y[3], -1*k[731]*y[9], +1* k[732]*y[61]*y[0]*y[0], -1*k[733]*y[9], +1* k[734]*y[5]*y[3]*y[0], +1*k[761]*y[16], -1* k[762]*y[9]*y[61], +1*k[779]*y[49], -1* k[780]*y[9]*y[17]]
- rate_str["CN"] = [ +1*k[219]*y[28]*y[5], -1* k[220]*y[30]*y[0], +1*k[225]*y[28]*y[10], -1* k[226]*y[30]*y[6], -1*k[233]*y[3]*y[30], +1* k[234]*y[0]*y[31], -1*k[235]*y[7]*y[30], +1* k[236]*y[5]*y[31], -1*k[241]*y[8]*y[30], +1* k[242]*y[7]*y[31], -1*k[243]*y[9]*y[30], +1* k[244]*y[31]*y[8], +1*k[245]*y[10]*y[34], -1* k[246]*y[30]*y[30], +1*k[245]*y[10]*y[34], -1* k[246]*y[30]*y[30], -1*k[265]*y[2]*y[30], +1* k[266]*y[4]*y[31], +1*k[267]*y[2]*y[31], -1* k[268]*y[1]*y[30], -1*k[275]*y[30]*y[4], +1* k[276]*y[28]*y[17], -1*k[283]*y[28]*y[30], +1* k[284]*y[34]*y[6], +1*k[287]*y[32]*y[6], -1* k[288]*y[4]*y[30], -1*k[299]*y[32]*y[30], +1* k[300]*y[34]*y[17], +1*k[301]*y[29]*y[6], -1* k[302]*y[0]*y[30], -1*k[317]*y[35]*y[30], +1* k[318]*y[31]*y[33], -1*k[321]*y[30]*y[16], +1* k[322]*y[15]*y[31], +1*k[469]*y[51]*y[31], -1* k[470]*y[42]*y[30], -1*k[475]*y[30]*y[18], +1* k[476]*y[17]*y[51], -1*k[479]*y[30]*y[2], +1* k[480]*y[51]*y[0], -1*k[525]*y[30]*y[11], +1* k[526]*y[54]*y[0], -1*k[537]*y[30]*y[14], +1* k[538]*y[57]*y[0], -1*k[663]*y[0]*y[30]*M, +1* k[664]*y[31]*M, +1*k[789]*y[31], -1* k[790]*y[0]*y[30]]
- rate_str["HNO2"] = [ -1*k[459]*y[50]*y[2], +1* k[460]*y[43]*y[1], -1*k[461]*y[50]*y[0], +1* k[462]*y[41]*y[2], -1*k[463]*y[50]*y[0], +1* k[464]*y[43]*y[3], -1*k[465]*y[50]*y[0], +1* k[466]*y[32]*y[1], +1*k[687]*y[32]*y[2]*M, -1* k[688]*y[50]*M]
- rate_str["C"] = [ +1*k[7]*y[0]*y[5], -1* k[8]*y[3]*y[6], -1*k[15]*y[6]*y[5], +1* k[16]*y[10]*y[0], -1*k[17]*y[8]*y[6], +1* k[18]*y[0]*y[11], +1*k[41]*y[10]*y[4], -1* k[42]*y[6]*y[17], +1*k[101]*y[5]*y[4], -1* k[102]*y[2]*y[6], -1*k[111]*y[2]*y[6], +1* k[112]*y[17]*y[0], +1*k[217]*y[28]*y[5], -1* k[218]*y[29]*y[6], +1*k[225]*y[28]*y[10], -1* k[226]*y[30]*y[6], +1*k[283]*y[28]*y[30], -1* k[284]*y[34]*y[6], -1*k[287]*y[32]*y[6], +1* k[288]*y[4]*y[30], -1*k[301]*y[29]*y[6], +1* k[302]*y[0]*y[30], -1*k[385]*y[25]*y[6], +1* k[386]*y[4]*y[17], -1*k[625]*y[3]*y[6]*M, +1* k[626]*y[7]*M, +1*k[627]*y[5]*M, -1* k[628]*y[6]*y[0]*M, -1*k[689]*y[6]*y[6]*M, +1* k[690]*y[10]*M, -1*k[689]*y[6]*y[6]*M, +1* k[690]*y[10]*M, -1*k[705]*y[4]*y[6]*M, +1* k[706]*y[17]*M, +1*k[739]*y[17], -1* k[740]*y[6]*y[4]]
- rate_str["CH2OH"] = [ -1*k[121]*y[19]*y[0], +1* k[122]*y[2]*y[8], -1*k[129]*y[8]*y[19], +1* k[130]*y[20]*y[9], +1*k[155]*y[23]*y[0], -1* k[156]*y[19]*y[3], -1*k[159]*y[19]*y[12], +1* k[160]*y[20]*y[11], +1*k[163]*y[23]*y[12], -1* k[164]*y[19]*y[11], -1*k[177]*y[19]*y[7], +1* k[178]*y[2]*y[14], -1*k[179]*y[19]*y[7], +1* k[180]*y[20]*y[8], +1*k[185]*y[23]*y[7], -1* k[186]*y[19]*y[8], -1*k[213]*y[19]*y[22], +1* k[214]*y[20]*y[23], +1*k[427]*y[46]*y[2], -1* k[428]*y[19]*y[33], -1*k[559]*y[19]*y[12], +1* k[560]*y[2]*y[58], -1*k[643]*y[19]*M, +1* k[644]*y[0]*y[20]*M, +1*k[647]*y[1]*y[5]*M, -1* k[648]*y[19]*M, -1*k[651]*y[19]*y[0]*M, +1* k[652]*y[23]*M]
- rate_str["C4H2"] = [ +1*k[419]*y[12]*y[11], -1* k[420]*y[45]*y[0], +1*k[541]*y[57]*y[10], -1* k[542]*y[31]*y[45], -1*k[811]*y[45], +1* k[812]*y[11]*y[10]]
- rate_str["HNCO"] = [ +1*k[363]*y[32]*y[7], -1* k[364]*y[42]*y[0], -1*k[365]*y[42]*y[0], +1* k[366]*y[17]*y[33], +1*k[367]*y[31]*y[2], -1* k[368]*y[42]*y[0], +1*k[469]*y[51]*y[31], -1* k[470]*y[42]*y[30], +1*k[471]*y[51]*y[33], -1* k[472]*y[42]*y[29], +1*k[473]*y[51]*y[21], -1* k[474]*y[42]*y[17], -1*k[481]*y[42]*y[0], +1* k[482]*y[51]*y[3], -1*k[483]*y[42]*y[4], +1* k[484]*y[51]*y[2], -1*k[485]*y[42]*y[2], +1* k[486]*y[51]*y[1], -1*k[673]*y[42]*M, +1* k[674]*y[17]*y[29]*M, -1*k[715]*y[42]*M, +1* k[716]*y[0]*y[51], -1*k[797]*y[42], +1* k[798]*y[29]*y[17], -1*k[799]*y[42], +1* k[800]*y[0]*y[51]]
- rate_str["N2H2"] = [ +1*k[325]*y[29]*y[33], -1* k[326]*y[37]*y[0], -1*k[327]*y[33]*y[37], +1* k[328]*y[35]*y[38], +1*k[329]*y[33]*y[39], -1* k[330]*y[35]*y[37], -1*k[331]*y[37]*y[0], +1* k[332]*y[38]*y[3], -1*k[333]*y[37]*y[8], +1* k[334]*y[38]*y[9], -1*k[335]*y[37]*y[2], +1* k[336]*y[38]*y[1], +1*k[337]*y[39]*y[0], -1* k[338]*y[37]*y[3], +1*k[339]*y[39]*y[4], -1* k[340]*y[37]*y[2], +1*k[341]*y[39]*y[2], -1* k[342]*y[37]*y[1], +1*k[343]*y[39]*y[39], -1* k[344]*y[40]*y[37], -1*k[357]*y[37]*y[4], +1* k[358]*y[38]*y[2], -1*k[359]*y[29]*y[37], +1* k[360]*y[33]*y[38], +1*k[377]*y[33]*y[33], -1* k[378]*y[37]*y[3], +1*k[487]*y[39]*y[29], -1* k[488]*y[37]*y[33], +1*k[669]*y[39]*M, -1* k[670]*y[37]*y[0]*M, -1*k[711]*y[37]*M, +1* k[712]*y[38]*y[0]*M]
- rate_str["CH3CO"] = [ -1*k[193]*y[24]*y[0], +1* k[194]*y[21]*y[8], -1*k[195]*y[24]*y[8], +1* k[196]*y[17]*y[16], +1*k[445]*y[49]*y[0], -1* k[446]*y[3]*y[24], +1*k[653]*y[2]*y[11]*M, -1* k[654]*y[24]*M, +1*k[655]*y[17]*y[8]*M, -1* k[656]*y[24]*M]
- rate_str["C2H4"] = [ +1*k[25]*y[3]*y[13], -1* k[26]*y[0]*y[14], +1*k[27]*y[5]*y[9], -1* k[28]*y[0]*y[14], +1*k[29]*y[7]*y[8], -1* k[30]*y[0]*y[14], +1*k[33]*y[0]*y[15], -1* k[34]*y[14]*y[3], +1*k[51]*y[7]*y[15], -1* k[52]*y[8]*y[14], +1*k[65]*y[9]*y[13], -1* k[66]*y[8]*y[14], +1*k[67]*y[8]*y[15], -1* k[68]*y[9]*y[14], +1*k[87]*y[13]*y[13], -1* k[88]*y[14]*y[11], +1*k[89]*y[13]*y[15], -1* k[90]*y[14]*y[14], +1*k[89]*y[13]*y[15], -1* k[90]*y[14]*y[14], -1*k[93]*y[14]*y[2], +1* k[94]*y[13]*y[1], +1*k[95]*y[15]*y[15], -1* k[96]*y[14]*y[16], -1*k[97]*y[15]*y[14], +1* k[98]*y[13]*y[16], +1*k[119]*y[2]*y[15], -1* k[120]*y[1]*y[14], -1*k[125]*y[4]*y[14], +1* k[126]*y[21]*y[8], -1*k[169]*y[5]*y[14], +1* k[170]*y[11]*y[8], +1*k[177]*y[19]*y[7], -1* k[178]*y[2]*y[14], -1*k[251]*y[33]*y[14], +1* k[252]*y[35]*y[13], +1*k[253]*y[33]*y[15], -1* k[254]*y[35]*y[14], -1*k[537]*y[30]*y[14], +1* k[538]*y[57]*y[0], +1*k[619]*y[0]*y[13]*M, -1* k[620]*y[14]*M, -1*k[621]*y[0]*y[14]*M, +1* k[622]*y[15]*M, -1*k[637]*y[14]*M, +1* k[638]*y[11]*y[3]*M, +1*k[639]*y[16]*M, -1* k[640]*y[14]*y[3]*M, -1*k[749]*y[14], +1* k[750]*y[11]*y[3], -1*k[751]*y[14], +1* k[752]*y[11]*y[0]*y[0], -1*k[753]*y[14], +1* k[754]*y[13]*y[0], +1*k[755]*y[16], -1* k[756]*y[14]*y[3], +1*k[757]*y[16], -1* k[758]*y[14]*y[0]*y[0]]
- rate_str["CH3CN"] = [ -1*k[529]*y[0]*y[55], +1* k[530]*y[31]*y[8], -1*k[531]*y[0]*y[55], +1* k[532]*y[56]*y[3], -1*k[533]*y[55]*y[2], +1* k[534]*y[56]*y[1], -1*k[535]*y[55]*y[4], +1* k[536]*y[56]*y[2], +1*k[697]*y[56]*y[0]*M, -1* k[698]*y[55]*M]
- rate_str["C6H6"] = [ +1*k[701]*y[58]*y[58]*M, -1* k[702]*y[64]*M, -1*k[807]*y[64], +1* k[808]*y[58]*y[58], -1*k[809]*y[64], +1* k[810]*y[11]*y[11]*y[11]]
- rate_str["CH3O"] = [ -1*k[139]*y[22]*y[4], +1* k[140]*y[20]*y[2], -1*k[141]*y[22]*y[2], +1* k[142]*y[20]*y[1], +1*k[143]*y[23]*y[0], -1* k[144]*y[22]*y[3], -1*k[153]*y[22]*y[17], +1* k[154]*y[8]*y[18], -1*k[161]*y[22]*y[12], +1* k[162]*y[20]*y[11], +1*k[165]*y[23]*y[12], -1* k[166]*y[22]*y[11], -1*k[181]*y[22]*y[7], +1* k[182]*y[20]*y[8], +1*k[183]*y[23]*y[7], -1* k[184]*y[22]*y[8], -1*k[189]*y[22]*y[8], +1* k[190]*y[20]*y[9], +1*k[191]*y[23]*y[8], -1* k[192]*y[22]*y[9], -1*k[199]*y[0]*y[22], +1* k[200]*y[20]*y[3], -1*k[213]*y[19]*y[22], +1* k[214]*y[20]*y[23], -1*k[215]*y[22]*y[22], +1* k[216]*y[20]*y[23], -1*k[215]*y[22]*y[22], +1* k[216]*y[20]*y[23], -1*k[383]*y[4]*y[22], +1* k[384]*y[25]*y[8], +1*k[415]*y[43]*y[8], -1* k[416]*y[32]*y[22], -1*k[455]*y[32]*y[22], +1* k[456]*y[41]*y[20], -1*k[649]*y[22]*M, +1* k[650]*y[0]*y[20]*M, +1*k[777]*y[23], -1* k[778]*y[22]*y[0]]
- rate_str["CH2NH2"] = [ -1*k[421]*y[46]*y[0], +1* k[422]*y[47]*y[3], +1*k[423]*y[48]*y[33], -1* k[424]*y[46]*y[35], -1*k[425]*y[46]*y[8], +1* k[426]*y[33]*y[15], -1*k[427]*y[46]*y[2], +1* k[428]*y[19]*y[33], +1*k[429]*y[48]*y[0], -1* k[430]*y[46]*y[3], +1*k[435]*y[8]*y[33], -1* k[436]*y[46]*y[0], +1*k[437]*y[48]*y[8], -1* k[438]*y[46]*y[9]]
- rate_str["CH2CN"] = [ +1*k[531]*y[0]*y[55], -1* k[532]*y[56]*y[3], +1*k[533]*y[55]*y[2], -1* k[534]*y[56]*y[1], +1*k[535]*y[55]*y[4], -1* k[536]*y[56]*y[2], +1*k[545]*y[28]*y[13], -1* k[546]*y[56]*y[0], -1*k[697]*y[56]*y[0]*M, +1* k[698]*y[55]*M]
- rate_str["CO"] = [ -1*k[37]*y[2]*y[17], +1* k[38]*y[0]*y[18], +1*k[41]*y[10]*y[4], -1* k[42]*y[6]*y[17], +1*k[55]*y[12]*y[2], -1* k[56]*y[7]*y[17], +1*k[57]*y[11]*y[4], -1* k[58]*y[7]*y[17], +1*k[71]*y[11]*y[2], -1* k[72]*y[8]*y[17], +1*k[81]*y[12]*y[4], -1* k[82]*y[5]*y[17], +1*k[103]*y[4]*y[5], -1* k[104]*y[0]*y[17], +1*k[111]*y[2]*y[6], -1* k[112]*y[17]*y[0], +1*k[131]*y[21]*y[0], -1* k[132]*y[17]*y[3], +1*k[133]*y[21]*y[2], -1* k[134]*y[17]*y[1], +1*k[135]*y[18]*y[5], -1* k[136]*y[21]*y[17], +1*k[147]*y[7]*y[4], -1* k[148]*y[17]*y[0]*y[0], +1*k[151]*y[18]*y[7], -1* k[152]*y[20]*y[17], -1*k[153]*y[22]*y[17], +1* k[154]*y[8]*y[18], +1*k[157]*y[21]*y[12], -1* k[158]*y[11]*y[17], +1*k[173]*y[4]*y[7], -1* k[174]*y[17]*y[3], +1*k[175]*y[21]*y[7], -1* k[176]*y[17]*y[8], +1*k[187]*y[21]*y[8], -1* k[188]*y[17]*y[9], +1*k[195]*y[24]*y[8], -1* k[196]*y[17]*y[16], +1*k[201]*y[0]*y[26], -1* k[202]*y[17]*y[8], +1*k[207]*y[27]*y[0], -1* k[208]*y[17]*y[7], +1*k[211]*y[21]*y[21], -1* k[212]*y[20]*y[17], +1*k[269]*y[2]*y[31], -1* k[270]*y[33]*y[17], +1*k[275]*y[30]*y[4], -1* k[276]*y[28]*y[17], +1*k[277]*y[28]*y[18], -1* k[278]*y[17]*y[32], +1*k[291]*y[32]*y[5], -1* k[292]*y[17]*y[29], +1*k[299]*y[32]*y[30], -1* k[300]*y[34]*y[17], +1*k[323]*y[31]*y[4], -1* k[324]*y[17]*y[29], +1*k[365]*y[42]*y[0], -1* k[366]*y[17]*y[33], +1*k[385]*y[25]*y[6], -1* k[386]*y[4]*y[17], +1*k[387]*y[25]*y[7], -1* k[388]*y[1]*y[17], +1*k[391]*y[25]*y[12], -1* k[392]*y[17]*y[21], +1*k[457]*y[32]*y[21], -1* k[458]*y[41]*y[17], +1*k[473]*y[51]*y[21], -1* k[474]*y[42]*y[17], +1*k[475]*y[30]*y[18], -1* k[476]*y[17]*y[51], -1*k[503]*y[17]*y[52], +1* k[504]*y[18]*y[2], +1*k[519]*y[21]*y[25], -1* k[520]*y[17]*y[52], -1*k[585]*y[60]*y[17], +1* k[586]*y[18], -1*k[595]*y[61]*y[17], +1* k[596]*y[7]*y[17], +1*k[595]*y[61]*y[17], -1* k[596]*y[7]*y[17], -1*k[641]*y[17]*y[4]*M, +1* k[642]*y[18]*M, -1*k[645]*y[0]*y[17]*M, +1* k[646]*y[21]*M, -1*k[655]*y[17]*y[8]*M, +1* k[656]*y[24]*M, -1*k[659]*y[17]*y[3]*M, +1* k[660]*y[20]*M, +1*k[673]*y[42]*M, -1* k[674]*y[17]*y[29]*M, +1*k[705]*y[4]*y[6]*M, -1* k[706]*y[17]*M, -1*k[739]*y[17], +1* k[740]*y[6]*y[4], +1*k[745]*y[18], -1* k[746]*y[17]*y[4], +1*k[747]*y[18], -1* k[748]*y[17]*y[60], +1*k[767]*y[21], -1* k[768]*y[0]*y[17], +1*k[769]*y[20], -1* k[770]*y[3]*y[17], +1*k[779]*y[49], -1* k[780]*y[9]*y[17], +1*k[797]*y[42], -1* k[798]*y[29]*y[17]]
- rate_str["CH3OH"] = [ -1*k[143]*y[23]*y[0], +1* k[144]*y[22]*y[3], -1*k[145]*y[23]*y[0], +1* k[146]*y[8]*y[1], -1*k[155]*y[23]*y[0], +1* k[156]*y[19]*y[3], -1*k[163]*y[23]*y[12], +1* k[164]*y[19]*y[11], -1*k[165]*y[23]*y[12], +1* k[166]*y[22]*y[11], -1*k[183]*y[23]*y[7], +1* k[184]*y[22]*y[8], -1*k[185]*y[23]*y[7], +1* k[186]*y[19]*y[8], -1*k[191]*y[23]*y[8], +1* k[192]*y[22]*y[9], +1*k[213]*y[19]*y[22], -1* k[214]*y[20]*y[23], +1*k[215]*y[22]*y[22], -1* k[216]*y[20]*y[23], +1*k[651]*y[19]*y[0]*M, -1* k[652]*y[23]*M, +1*k[719]*y[2]*y[8]*M, -1* k[720]*y[23]*M, -1*k[773]*y[23], +1* k[774]*y[8]*y[2], -1*k[775]*y[23], +1* k[776]*y[20]*y[3], -1*k[777]*y[23], +1* k[778]*y[22]*y[0]]
- rate_str["N2"] = [ -1*k[245]*y[10]*y[34], +1* k[246]*y[30]*y[30], +1*k[279]*y[28]*y[32], -1* k[280]*y[34]*y[4], +1*k[281]*y[28]*y[29], -1* k[282]*y[34]*y[0], +1*k[283]*y[28]*y[30], -1* k[284]*y[34]*y[6], -1*k[285]*y[34]*y[7], +1* k[286]*y[29]*y[31], +1*k[295]*y[32]*y[29], -1* k[296]*y[34]*y[2], +1*k[297]*y[32]*y[33], -1* k[298]*y[34]*y[1], +1*k[299]*y[32]*y[30], -1* k[300]*y[34]*y[17], +1*k[303]*y[29]*y[29], -1* k[304]*y[34]*y[3], +1*k[345]*y[38]*y[0], -1* k[346]*y[34]*y[3], +1*k[347]*y[38]*y[2], -1* k[348]*y[34]*y[1], +1*k[349]*y[38]*y[4], -1* k[350]*y[34]*y[2], +1*k[351]*y[38]*y[33], -1* k[352]*y[34]*y[35], +1*k[355]*y[38]*y[32], -1* k[356]*y[34]*y[41], +1*k[405]*y[44]*y[4], -1* k[406]*y[34]*y[25], +1*k[407]*y[44]*y[0], -1* k[408]*y[34]*y[2], +1*k[667]*y[28]*y[28]*M, -1* k[668]*y[34]*M, +1*k[679]*y[44]*M, -1* k[680]*y[34]*y[4]*M, +1*k[681]*y[38]*M, -1* k[682]*y[34]*y[0]*M, -1*k[783]*y[34], +1* k[784]*y[28]*y[28]]
- rate_str["He"] = [ -1*k[605]*y[63], +1* k[606]*y[63], +1*k[605]*y[63], -1* k[606]*y[63]]
- rate_str["O_1"] = [ -1*k[575]*y[60]*y[3], +1* k[576]*y[2]*y[0], -1*k[577]*y[60]*y[9], +1* k[578]*y[2]*y[8], -1*k[579]*y[60]*y[1], +1* k[580]*y[2]*y[2], -1*k[581]*y[60]*y[18], +1* k[582]*y[4]*y[18], -1*k[583]*y[60]*y[35], +1* k[584]*y[2]*y[33], -1*k[585]*y[60]*y[17], +1* k[586]*y[18], -1*k[587]*y[60]*y[43], +1* k[588]*y[25]*y[32], +1*k[723]*y[1], -1* k[724]*y[3]*y[60], +1*k[747]*y[18], -1* k[748]*y[17]*y[60], +1*k[805]*y[25], -1* k[806]*y[4]*y[60]]
- rate_str["H2O2"] = [ -1*k[505]*y[4]*y[53], +1* k[506]*y[2]*y[52], -1*k[507]*y[2]*y[53], +1* k[508]*y[1]*y[52], -1*k[509]*y[53]*y[0], +1* k[510]*y[3]*y[52], -1*k[511]*y[53]*y[0], +1* k[512]*y[2]*y[1], +1*k[547]*y[52]*y[9], -1* k[548]*y[8]*y[53], +1*k[691]*y[52]*y[52]*M, -1* k[692]*y[53]*y[25]*M, +1*k[693]*y[2]*y[2]*M, -1* k[694]*y[53]*M]
- rate_str["NO2"] = [ -1*k[403]*y[43]*y[4], +1* k[404]*y[32]*y[25], -1*k[411]*y[33]*y[43], +1* k[412]*y[44]*y[1], -1*k[415]*y[43]*y[8], +1* k[416]*y[32]*y[22], +1*k[459]*y[50]*y[2], -1* k[460]*y[43]*y[1], +1*k[463]*y[50]*y[0], -1* k[464]*y[43]*y[3], -1*k[587]*y[60]*y[43], +1* k[588]*y[25]*y[32], +1*k[677]*y[32]*y[4]*M, -1* k[678]*y[43]*M, -1*k[793]*y[43], +1* k[794]*y[32]*y[4]]
+ rate_str["OH"] = [ -1*k[1]*y[0]*y[1], +1* k[2]*y[2]*y[3], +1*k[3]*y[4]*y[1], -1* k[4]*y[0]*y[3], +1*k[5]*y[4]*y[2], -1* k[6]*y[0]*y[0], +1*k[5]*y[4]*y[2], -1* k[6]*y[0]*y[0], -1*k[37]*y[0]*y[17], +1* k[38]*y[3]*y[18], -1*k[53]*y[8]*y[0], +1* k[54]*y[7]*y[2], -1*k[55]*y[12]*y[0], +1* k[56]*y[7]*y[17], -1*k[71]*y[11]*y[0], +1* k[72]*y[8]*y[17], -1*k[83]*y[12]*y[0], +1* k[84]*y[11]*y[4], +1*k[85]*y[12]*y[2], -1* k[86]*y[11]*y[0], -1*k[93]*y[14]*y[0], +1* k[94]*y[13]*y[2], -1*k[99]*y[16]*y[0], +1* k[100]*y[15]*y[2], +1*k[101]*y[5]*y[4], -1* k[102]*y[0]*y[6], +1*k[105]*y[4]*y[8], -1* k[106]*y[7]*y[0], -1*k[107]*y[8]*y[0], +1* k[108]*y[4]*y[9], +1*k[109]*y[4]*y[16], -1* k[110]*y[0]*y[15], -1*k[111]*y[0]*y[6], +1* k[112]*y[17]*y[3], -1*k[113]*y[0]*y[7], +1* k[114]*y[2]*y[5], -1*k[115]*y[0]*y[9], +1* k[116]*y[2]*y[8], -1*k[117]*y[0]*y[13], +1* k[118]*y[2]*y[11], -1*k[119]*y[0]*y[15], +1* k[120]*y[2]*y[14], +1*k[121]*y[19]*y[3], -1* k[122]*y[0]*y[8], -1*k[133]*y[21]*y[0], +1* k[134]*y[17]*y[2], +1*k[139]*y[22]*y[4], -1* k[140]*y[20]*y[0], -1*k[141]*y[22]*y[0], +1* k[142]*y[20]*y[2], -1*k[149]*y[7]*y[0], +1* k[150]*y[20]*y[3], +1*k[167]*y[4]*y[13], -1* k[168]*y[11]*y[0], +1*k[177]*y[19]*y[7], -1* k[178]*y[0]*y[14], -1*k[197]*y[4]*y[0], +1* k[198]*y[25]*y[3], +1*k[209]*y[4]*y[20], -1* k[210]*y[21]*y[0], -1*k[227]*y[28]*y[0], +1* k[228]*y[32]*y[3], +1*k[257]*y[4]*y[29], -1* k[258]*y[0]*y[28], +1*k[261]*y[4]*y[35], -1* k[262]*y[0]*y[33], -1*k[263]*y[0]*y[29], +1* k[264]*y[2]*y[28], -1*k[265]*y[0]*y[30], +1* k[266]*y[4]*y[31], -1*k[267]*y[0]*y[31], +1* k[268]*y[2]*y[30], -1*k[269]*y[0]*y[31], +1* k[270]*y[33]*y[17], -1*k[271]*y[0]*y[29], +1* k[272]*y[4]*y[33], -1*k[273]*y[33]*y[0], +1* k[274]*y[2]*y[29], +1*k[295]*y[32]*y[29], -1* k[296]*y[34]*y[0], -1*k[311]*y[35]*y[0], +1* k[312]*y[33]*y[2], -1*k[333]*y[36]*y[0], +1* k[334]*y[37]*y[2], +1*k[337]*y[38]*y[4], -1* k[338]*y[36]*y[0], -1*k[339]*y[38]*y[0], +1* k[340]*y[36]*y[2], -1*k[345]*y[37]*y[0], +1* k[346]*y[34]*y[2], +1*k[347]*y[37]*y[4], -1* k[348]*y[34]*y[0], +1*k[351]*y[33]*y[32], -1* k[352]*y[37]*y[0], +1*k[355]*y[36]*y[4], -1* k[356]*y[37]*y[0], -1*k[359]*y[41]*y[0], +1* k[360]*y[31]*y[2], -1*k[365]*y[31]*y[0], +1* k[366]*y[42]*y[3], +1*k[377]*y[32]*y[8], -1* k[378]*y[41]*y[0], +1*k[387]*y[25]*y[8], -1* k[388]*y[0]*y[20], +1*k[395]*y[29]*y[25], -1* k[396]*y[32]*y[0], +1*k[399]*y[25]*y[33], -1* k[400]*y[40]*y[0], +1*k[405]*y[44]*y[3], -1* k[406]*y[34]*y[0], -1*k[425]*y[46]*y[0], +1* k[426]*y[19]*y[33], -1*k[445]*y[29]*y[0], +1* k[446]*y[40]*y[3], -1*k[447]*y[40]*y[0], +1* k[448]*y[32]*y[2], +1*k[449]*y[40]*y[4], -1* k[450]*y[32]*y[0], -1*k[457]*y[50]*y[0], +1* k[458]*y[43]*y[2], +1*k[459]*y[50]*y[3], -1* k[460]*y[40]*y[0], -1*k[477]*y[30]*y[0], +1* k[478]*y[51]*y[3], +1*k[481]*y[42]*y[4], -1* k[482]*y[51]*y[0], -1*k[483]*y[42]*y[0], +1* k[484]*y[51]*y[2], +1*k[495]*y[52]*y[3], -1* k[496]*y[0]*y[0], +1*k[495]*y[52]*y[3], -1* k[496]*y[0]*y[0], +1*k[501]*y[17]*y[52], -1* k[502]*y[18]*y[0], +1*k[503]*y[4]*y[53], -1* k[504]*y[0]*y[52], -1*k[505]*y[0]*y[53], +1* k[506]*y[2]*y[52], +1*k[509]*y[53]*y[3], -1* k[510]*y[0]*y[2], +1*k[511]*y[4]*y[52], -1* k[512]*y[0]*y[25], -1*k[519]*y[0]*y[52], +1* k[520]*y[2]*y[25], -1*k[531]*y[55]*y[0], +1* k[532]*y[56]*y[2], +1*k[533]*y[55]*y[4], -1* k[534]*y[56]*y[0], -1*k[557]*y[58]*y[0], +1* k[558]*y[21]*y[13], +1*k[559]*y[19]*y[12], -1* k[560]*y[0]*y[58], -1*k[599]*y[23]*y[0], +1* k[600]*y[22]*y[2], -1*k[601]*y[23]*y[0], +1* k[602]*y[19]*y[2], +1*k[603]*y[52]*y[32], -1* k[604]*y[0]*y[43], +1*k[615]*y[65]*y[16], -1* k[616]*y[15]*y[0], +1*k[617]*y[65]*y[1], -1* k[618]*y[0]*y[3], +1*k[619]*y[65]*y[9], -1* k[620]*y[0]*y[8], +1*k[621]*y[65]*y[2], -1* k[622]*y[0]*y[0], +1*k[621]*y[65]*y[2], -1* k[622]*y[0]*y[0], +1*k[625]*y[65]*y[35], -1* k[626]*y[0]*y[33], +1*k[645]*y[67]*y[2], -1* k[646]*y[29]*y[0], -1*k[653]*y[0]*y[8], +1* k[654]*y[66]*y[2], +1*k[659]*y[3]*y[4]*M, -1* k[660]*y[0]*M, -1*k[661]*y[0]*y[3]*M, +1* k[662]*y[2]*M, -1*k[703]*y[0]*y[11]*M, +1* k[704]*y[24]*M, -1*k[737]*y[32]*y[0]*M, +1* k[738]*y[50]*M, -1*k[743]*y[0]*y[0]*M, +1* k[744]*y[53]*M, -1*k[743]*y[0]*y[0]*M, +1* k[744]*y[53]*M, -1*k[781]*y[0]*y[8]*M, +1* k[782]*y[23]*M, +1*k[783]*y[2], -1* k[784]*y[3]*y[0], -1*k[827]*y[0], +1* k[828]*y[3]*y[4], +1*k[835]*y[23], -1* k[836]*y[8]*y[0], +1*k[863]*y[52], -1* k[864]*y[4]*y[0], +1*k[877]*y[50], -1* k[878]*y[32]*y[0]]
+ rate_str["H2"] = [ -1*k[1]*y[0]*y[1], +1* k[2]*y[2]*y[3], -1*k[3]*y[4]*y[1], +1* k[4]*y[0]*y[3], +1*k[7]*y[3]*y[5], -1* k[8]*y[1]*y[6], +1*k[9]*y[3]*y[7], -1* k[10]*y[5]*y[1], -1*k[11]*y[7]*y[1], +1* k[12]*y[3]*y[8], +1*k[13]*y[3]*y[9], -1* k[14]*y[8]*y[1], -1*k[19]*y[1]*y[12], +1* k[20]*y[3]*y[11], +1*k[23]*y[3]*y[13], -1* k[24]*y[11]*y[1], -1*k[25]*y[1]*y[13], +1* k[26]*y[3]*y[14], +1*k[33]*y[3]*y[15], -1* k[34]*y[14]*y[1], +1*k[35]*y[3]*y[16], -1* k[36]*y[15]*y[1], +1*k[39]*y[5]*y[8], -1* k[40]*y[1]*y[11], -1*k[73]*y[10]*y[1], +1* k[74]*y[3]*y[12], +1*k[123]*y[20]*y[3], -1* k[124]*y[21]*y[1], +1*k[131]*y[21]*y[3], -1* k[132]*y[17]*y[1], +1*k[143]*y[23]*y[3], -1* k[144]*y[22]*y[1], +1*k[155]*y[23]*y[3], -1* k[156]*y[19]*y[1], +1*k[173]*y[4]*y[7], -1* k[174]*y[17]*y[1], +1*k[199]*y[3]*y[22], -1* k[200]*y[20]*y[1], +1*k[229]*y[3]*y[29], -1* k[230]*y[1]*y[28], +1*k[231]*y[3]*y[33], -1* k[232]*y[1]*y[29], -1*k[233]*y[1]*y[30], +1* k[234]*y[3]*y[31], +1*k[303]*y[29]*y[29], -1* k[304]*y[34]*y[1], -1*k[305]*y[33]*y[1], +1* k[306]*y[35]*y[3], +1*k[309]*y[33]*y[4], -1* k[310]*y[1]*y[32], +1*k[329]*y[36]*y[3], -1* k[330]*y[37]*y[1], +1*k[335]*y[38]*y[3], -1* k[336]*y[36]*y[1], +1*k[343]*y[37]*y[3], -1* k[344]*y[34]*y[1], +1*k[369]*y[8]*y[28], -1* k[370]*y[31]*y[1], +1*k[375]*y[33]*y[33], -1* k[376]*y[36]*y[1], +1*k[379]*y[39]*y[3], -1* k[380]*y[38]*y[1], +1*k[419]*y[46]*y[3], -1* k[420]*y[47]*y[1], +1*k[427]*y[48]*y[3], -1* k[428]*y[46]*y[1], +1*k[429]*y[47]*y[3], -1* k[430]*y[41]*y[1], +1*k[431]*y[8]*y[33], -1* k[432]*y[47]*y[1], +1*k[443]*y[49]*y[3], -1* k[444]*y[1]*y[24], +1*k[451]*y[40]*y[3], -1* k[452]*y[32]*y[1], +1*k[461]*y[50]*y[3], -1* k[462]*y[43]*y[1], +1*k[479]*y[42]*y[3], -1* k[480]*y[51]*y[1], -1*k[493]*y[1]*y[40], +1* k[494]*y[29]*y[2], +1*k[499]*y[52]*y[3], -1* k[500]*y[25]*y[1], +1*k[507]*y[53]*y[3], -1* k[508]*y[1]*y[52], +1*k[521]*y[41]*y[3], -1* k[522]*y[31]*y[1], +1*k[529]*y[3]*y[55], -1* k[530]*y[56]*y[1], +1*k[551]*y[28]*y[35], -1* k[552]*y[37]*y[1], +1*k[561]*y[28]*y[58], -1* k[562]*y[54]*y[1], +1*k[565]*y[7]*y[11], -1* k[566]*y[59]*y[1], +1*k[575]*y[35]*y[33], -1* k[576]*y[38]*y[1], -1*k[589]*y[64]*y[1], +1* k[590]*y[63]*y[3], -1*k[617]*y[65]*y[1], +1* k[618]*y[0]*y[3], -1*k[633]*y[66]*y[1], +1* k[634]*y[8]*y[3], -1*k[635]*y[66]*y[1], +1* k[636]*y[7]*y[1], +1*k[635]*y[66]*y[1], -1* k[636]*y[7]*y[1], -1*k[643]*y[67]*y[1], +1* k[644]*y[29]*y[3], +1*k[657]*y[3]*y[3]*M, -1* k[658]*y[1]*M, -1*k[675]*y[1]*y[6]*M, +1* k[676]*y[7]*M, -1*k[681]*y[5]*y[1]*M, +1* k[682]*y[8]*M, +1*k[687]*y[14]*M, -1* k[688]*y[11]*y[1]*M, +1*k[689]*y[16]*M, -1* k[690]*y[14]*y[1]*M, -1*k[709]*y[17]*y[1]*M, +1* k[710]*y[20]*M, -1*k[715]*y[1]*y[28]*M, +1* k[716]*y[33]*M, +1*k[785]*y[2], -1* k[786]*y[1]*y[65], +1*k[791]*y[9], -1* k[792]*y[66]*y[1], +1*k[795]*y[9], -1* k[796]*y[5]*y[1]*y[3], +1*k[797]*y[8], -1* k[798]*y[5]*y[1], -1*k[803]*y[1], +1* k[804]*y[3]*y[3], +1*k[811]*y[14], -1* k[812]*y[11]*y[1], +1*k[817]*y[16], -1* k[818]*y[14]*y[1], +1*k[821]*y[16], -1* k[822]*y[11]*y[1]*y[1], +1*k[821]*y[16], -1* k[822]*y[11]*y[1]*y[1], +1*k[831]*y[20], -1* k[832]*y[1]*y[17], +1*k[837]*y[23], -1* k[838]*y[20]*y[1]]
+ rate_str["H2O"] = [ +1*k[1]*y[0]*y[1], -1* k[2]*y[2]*y[3], -1*k[5]*y[4]*y[2], +1* k[6]*y[0]*y[0], +1*k[53]*y[8]*y[0], -1* k[54]*y[7]*y[2], -1*k[85]*y[12]*y[2], +1* k[86]*y[11]*y[0], +1*k[93]*y[14]*y[0], -1* k[94]*y[13]*y[2], +1*k[99]*y[16]*y[0], -1* k[100]*y[15]*y[2], +1*k[113]*y[0]*y[7], -1* k[114]*y[2]*y[5], +1*k[115]*y[0]*y[9], -1* k[116]*y[2]*y[8], +1*k[117]*y[0]*y[13], -1* k[118]*y[2]*y[11], +1*k[119]*y[0]*y[15], -1* k[120]*y[2]*y[14], +1*k[133]*y[21]*y[0], -1* k[134]*y[17]*y[2], +1*k[141]*y[22]*y[0], -1* k[142]*y[20]*y[2], +1*k[145]*y[23]*y[3], -1* k[146]*y[8]*y[2], +1*k[263]*y[0]*y[29], -1* k[264]*y[2]*y[28], +1*k[267]*y[0]*y[31], -1* k[268]*y[2]*y[30], +1*k[273]*y[33]*y[0], -1* k[274]*y[2]*y[29], +1*k[293]*y[32]*y[8], -1* k[294]*y[31]*y[2], +1*k[297]*y[32]*y[33], -1* k[298]*y[34]*y[2], +1*k[311]*y[35]*y[0], -1* k[312]*y[33]*y[2], +1*k[333]*y[36]*y[0], -1* k[334]*y[37]*y[2], +1*k[339]*y[38]*y[0], -1* k[340]*y[36]*y[2], +1*k[345]*y[37]*y[0], -1* k[346]*y[34]*y[2], +1*k[359]*y[41]*y[0], -1* k[360]*y[31]*y[2], +1*k[385]*y[25]*y[7], -1* k[386]*y[2]*y[17], +1*k[409]*y[33]*y[43], -1* k[410]*y[44]*y[2], +1*k[411]*y[40]*y[40], -1* k[412]*y[44]*y[2], -1*k[439]*y[5]*y[2], +1* k[440]*y[20]*y[3], +1*k[447]*y[40]*y[0], -1* k[448]*y[32]*y[2], +1*k[457]*y[50]*y[0], -1* k[458]*y[43]*y[2], +1*k[463]*y[50]*y[3], -1* k[464]*y[32]*y[2], +1*k[483]*y[42]*y[0], -1* k[484]*y[51]*y[2], +1*k[493]*y[1]*y[40], -1* k[494]*y[29]*y[2], +1*k[497]*y[52]*y[3], -1* k[498]*y[4]*y[2], +1*k[505]*y[0]*y[53], -1* k[506]*y[2]*y[52], +1*k[509]*y[53]*y[3], -1* k[510]*y[0]*y[2], +1*k[519]*y[0]*y[52], -1* k[520]*y[2]*y[25], +1*k[531]*y[55]*y[0], -1* k[532]*y[56]*y[2], +1*k[599]*y[23]*y[0], -1* k[600]*y[22]*y[2], +1*k[601]*y[23]*y[0], -1* k[602]*y[19]*y[2], -1*k[621]*y[65]*y[2], +1* k[622]*y[0]*y[0], -1*k[637]*y[66]*y[2], +1* k[638]*y[7]*y[2], +1*k[637]*y[66]*y[2], -1* k[638]*y[7]*y[2], -1*k[645]*y[67]*y[2], +1* k[646]*y[29]*y[0], +1*k[653]*y[0]*y[8], -1* k[654]*y[66]*y[2], +1*k[661]*y[0]*y[3]*M, -1* k[662]*y[2]*M, -1*k[697]*y[2]*y[5]*M, +1* k[698]*y[19]*M, -1*k[783]*y[2], +1* k[784]*y[3]*y[0], -1*k[785]*y[2], +1* k[786]*y[1]*y[65], -1*k[787]*y[2], +1* k[788]*y[3]*y[3]*y[4]]
+ rate_str["H"] = [ +1*k[1]*y[0]*y[1], -1* k[2]*y[2]*y[3], +1*k[3]*y[4]*y[1], -1* k[4]*y[0]*y[3], -1*k[7]*y[3]*y[5], +1* k[8]*y[1]*y[6], -1*k[9]*y[3]*y[7], +1* k[10]*y[5]*y[1], +1*k[11]*y[7]*y[1], -1* k[12]*y[3]*y[8], -1*k[13]*y[3]*y[9], +1* k[14]*y[8]*y[1], +1*k[15]*y[6]*y[5], -1* k[16]*y[10]*y[3], +1*k[17]*y[8]*y[6], -1* k[18]*y[3]*y[11], +1*k[19]*y[1]*y[12], -1* k[20]*y[3]*y[11], +1*k[21]*y[5]*y[7], -1* k[22]*y[3]*y[11], -1*k[23]*y[3]*y[13], +1* k[24]*y[11]*y[1], +1*k[25]*y[1]*y[13], -1* k[26]*y[3]*y[14], +1*k[27]*y[5]*y[9], -1* k[28]*y[3]*y[14], +1*k[29]*y[7]*y[8], -1* k[30]*y[3]*y[14], -1*k[31]*y[3]*y[15], +1* k[32]*y[8]*y[8], -1*k[33]*y[3]*y[15], +1* k[34]*y[14]*y[1], -1*k[35]*y[3]*y[16], +1* k[36]*y[15]*y[1], +1*k[37]*y[0]*y[17], -1* k[38]*y[3]*y[18], +1*k[43]*y[7]*y[7], -1* k[44]*y[11]*y[3]*y[3], +1*k[43]*y[7]*y[7], -1* k[44]*y[11]*y[3]*y[3], +1*k[47]*y[7]*y[7], -1* k[48]*y[3]*y[13], +1*k[73]*y[10]*y[1], -1* k[74]*y[3]*y[12], +1*k[103]*y[4]*y[5], -1* k[104]*y[3]*y[17], +1*k[111]*y[0]*y[6], -1* k[112]*y[17]*y[3], -1*k[121]*y[19]*y[3], +1* k[122]*y[0]*y[8], -1*k[123]*y[20]*y[3], +1* k[124]*y[21]*y[1], -1*k[131]*y[21]*y[3], +1* k[132]*y[17]*y[1], +1*k[137]*y[8]*y[4], -1* k[138]*y[20]*y[3], -1*k[143]*y[23]*y[3], +1* k[144]*y[22]*y[1], -1*k[145]*y[23]*y[3], +1* k[146]*y[8]*y[2], +1*k[147]*y[7]*y[4], -1* k[148]*y[17]*y[3]*y[3], +1*k[147]*y[7]*y[4], -1* k[148]*y[17]*y[3]*y[3], +1*k[149]*y[7]*y[0], -1* k[150]*y[20]*y[3], -1*k[155]*y[23]*y[3], +1* k[156]*y[19]*y[1], -1*k[193]*y[24]*y[3], +1* k[194]*y[21]*y[8], +1*k[197]*y[4]*y[0], -1* k[198]*y[25]*y[3], -1*k[199]*y[3]*y[22], +1* k[200]*y[20]*y[1], -1*k[201]*y[3]*y[26], +1* k[202]*y[17]*y[8], +1*k[203]*y[4]*y[13], -1* k[204]*y[26]*y[3], +1*k[205]*y[11]*y[4], -1* k[206]*y[27]*y[3], -1*k[207]*y[27]*y[3], +1* k[208]*y[17]*y[7], +1*k[219]*y[28]*y[5], -1* k[220]*y[30]*y[3], +1*k[223]*y[28]*y[7], -1* k[224]*y[31]*y[3], +1*k[227]*y[28]*y[0], -1* k[228]*y[32]*y[3], -1*k[229]*y[3]*y[29], +1* k[230]*y[1]*y[28], -1*k[231]*y[3]*y[33], +1* k[232]*y[1]*y[29], +1*k[233]*y[1]*y[30], -1* k[234]*y[3]*y[31], +1*k[259]*y[4]*y[29], -1* k[260]*y[32]*y[3], +1*k[281]*y[28]*y[29], -1* k[282]*y[34]*y[3], +1*k[301]*y[29]*y[6], -1* k[302]*y[3]*y[30], +1*k[305]*y[33]*y[1], -1* k[306]*y[35]*y[3], +1*k[323]*y[29]*y[33], -1* k[324]*y[36]*y[3], -1*k[329]*y[36]*y[3], +1* k[330]*y[37]*y[1], -1*k[335]*y[38]*y[3], +1* k[336]*y[36]*y[1], -1*k[343]*y[37]*y[3], +1* k[344]*y[34]*y[1], +1*k[361]*y[32]*y[7], -1* k[362]*y[42]*y[3], -1*k[363]*y[42]*y[3], +1* k[364]*y[17]*y[33], +1*k[365]*y[31]*y[0], -1* k[366]*y[42]*y[3], +1*k[367]*y[8]*y[28], -1* k[368]*y[41]*y[3], -1*k[379]*y[39]*y[3], +1* k[380]*y[38]*y[1], -1*k[405]*y[44]*y[3], +1* k[406]*y[34]*y[0], +1*k[407]*y[29]*y[32], -1* k[408]*y[44]*y[3], +1*k[417]*y[12]*y[11], -1* k[418]*y[45]*y[3], -1*k[419]*y[46]*y[3], +1* k[420]*y[47]*y[1], -1*k[427]*y[48]*y[3], +1* k[428]*y[46]*y[1], -1*k[429]*y[47]*y[3], +1* k[430]*y[41]*y[1], +1*k[433]*y[8]*y[33], -1* k[434]*y[46]*y[3], -1*k[437]*y[38]*y[3], +1* k[438]*y[33]*y[33], +1*k[439]*y[5]*y[2], -1* k[440]*y[20]*y[3], +1*k[441]*y[4]*y[15], -1* k[442]*y[49]*y[3], -1*k[443]*y[49]*y[3], +1* k[444]*y[1]*y[24], +1*k[445]*y[29]*y[0], -1* k[446]*y[40]*y[3], -1*k[451]*y[40]*y[3], +1* k[452]*y[32]*y[1], -1*k[459]*y[50]*y[3], +1* k[460]*y[40]*y[0], -1*k[461]*y[50]*y[3], +1* k[462]*y[43]*y[1], -1*k[463]*y[50]*y[3], +1* k[464]*y[32]*y[2], +1*k[475]*y[31]*y[4], -1* k[476]*y[51]*y[3], +1*k[477]*y[30]*y[0], -1* k[478]*y[51]*y[3], -1*k[479]*y[42]*y[3], +1* k[480]*y[51]*y[1], +1*k[491]*y[33]*y[4], -1* k[492]*y[40]*y[3], -1*k[495]*y[52]*y[3], +1* k[496]*y[0]*y[0], -1*k[497]*y[52]*y[3], +1* k[498]*y[4]*y[2], -1*k[499]*y[52]*y[3], +1* k[500]*y[25]*y[1], -1*k[507]*y[53]*y[3], +1* k[508]*y[1]*y[52], -1*k[509]*y[53]*y[3], +1* k[510]*y[0]*y[2], -1*k[521]*y[41]*y[3], +1* k[522]*y[31]*y[1], +1*k[523]*y[30]*y[11], -1* k[524]*y[54]*y[3], +1*k[525]*y[31]*y[12], -1* k[526]*y[54]*y[3], -1*k[527]*y[3]*y[55], +1* k[528]*y[31]*y[8], -1*k[529]*y[3]*y[55], +1* k[530]*y[56]*y[1], +1*k[535]*y[30]*y[14], -1* k[536]*y[57]*y[3], +1*k[537]*y[31]*y[13], -1* k[538]*y[57]*y[3], +1*k[543]*y[28]*y[13], -1* k[544]*y[56]*y[3], +1*k[563]*y[28]*y[59], -1* k[564]*y[54]*y[3], +1*k[567]*y[7]*y[11], -1* k[568]*y[58]*y[3], +1*k[569]*y[7]*y[12], -1* k[570]*y[59]*y[3], +1*k[571]*y[5]*y[11], -1* k[572]*y[59]*y[3], +1*k[573]*y[8]*y[12], -1* k[574]*y[58]*y[3], +1*k[581]*y[8]*y[11], -1* k[582]*y[60]*y[3], +1*k[583]*y[5]*y[58], -1* k[584]*y[61]*y[3], +1*k[585]*y[12]*y[15], -1* k[586]*y[62]*y[3], +1*k[587]*y[11]*y[62], -1* k[588]*y[63]*y[3], +1*k[589]*y[64]*y[1], -1* k[590]*y[63]*y[3], +1*k[611]*y[8]*y[30], -1* k[612]*y[56]*y[3], +1*k[617]*y[65]*y[1], -1* k[618]*y[0]*y[3], +1*k[633]*y[66]*y[1], -1* k[634]*y[8]*y[3], +1*k[641]*y[66]*y[11], -1* k[642]*y[58]*y[3], +1*k[643]*y[67]*y[1], -1* k[644]*y[29]*y[3], -1*k[657]*y[3]*y[3]*M, +1* k[658]*y[1]*M, -1*k[657]*y[3]*y[3]*M, +1* k[658]*y[1]*M, -1*k[659]*y[3]*y[4]*M, +1* k[660]*y[0]*M, -1*k[661]*y[0]*y[3]*M, +1* k[662]*y[2]*M, -1*k[663]*y[3]*y[5]*M, +1* k[664]*y[7]*M, -1*k[665]*y[3]*y[8]*M, +1* k[666]*y[9]*M, -1*k[667]*y[3]*y[11]*M, +1* k[668]*y[13]*M, -1*k[669]*y[3]*y[13]*M, +1* k[670]*y[14]*M, -1*k[671]*y[3]*y[14]*M, +1* k[672]*y[15]*M, -1*k[673]*y[3]*y[15]*M, +1* k[674]*y[16]*M, +1*k[677]*y[5]*M, -1* k[678]*y[6]*y[3]*M, -1*k[679]*y[7]*y[3]*M, +1* k[680]*y[8]*M, -1*k[685]*y[12]*y[3]*M, +1* k[686]*y[11]*M, +1*k[693]*y[19]*M, -1* k[694]*y[3]*y[20]*M, -1*k[695]*y[3]*y[17]*M, +1* k[696]*y[21]*M, +1*k[699]*y[22]*M, -1* k[700]*y[3]*y[20]*M, -1*k[701]*y[19]*y[3]*M, +1* k[702]*y[23]*M, -1*k[707]*y[21]*y[3]*M, +1* k[708]*y[20]*M, -1*k[711]*y[3]*y[33]*M, +1* k[712]*y[35]*M, -1*k[713]*y[3]*y[30]*M, +1* k[714]*y[31]*M, +1*k[719]*y[38]*M, -1* k[720]*y[36]*y[3]*M, -1*k[721]*y[31]*y[3]*M, +1* k[722]*y[41]*M, +1*k[731]*y[37]*M, -1* k[732]*y[34]*y[3]*M, -1*k[735]*y[3]*y[32]*M, +1* k[736]*y[40]*M, -1*k[745]*y[3]*y[25]*M, +1* k[746]*y[52]*M, -1*k[747]*y[56]*y[3]*M, +1* k[748]*y[55]*M, -1*k[749]*y[59]*y[3]*M, +1* k[750]*y[58]*M, +1*k[753]*y[36]*M, -1* k[754]*y[37]*y[3]*M, -1*k[755]*y[58]*y[3]*M, +1* k[756]*y[60]*M, -1*k[759]*y[64]*y[3]*M, +1* k[760]*y[63]*M, -1*k[761]*y[45]*y[3]*M, +1* k[762]*y[61]*M, +1*k[767]*y[12]*M, -1* k[768]*y[10]*y[3]*M, +1*k[771]*y[29]*M, -1* k[772]*y[3]*y[28]*M, +1*k[777]*y[42]*M, -1* k[778]*y[3]*y[51], +1*k[783]*y[2], -1* k[784]*y[3]*y[0], +1*k[787]*y[2], -1* k[788]*y[3]*y[3]*y[4], +1*k[787]*y[2], -1* k[788]*y[3]*y[3]*y[4], +1*k[789]*y[9], -1* k[790]*y[8]*y[3], +1*k[793]*y[9], -1* k[794]*y[66]*y[3]*y[3], +1*k[793]*y[9], -1* k[794]*y[66]*y[3]*y[3], +1*k[795]*y[9], -1* k[796]*y[5]*y[1]*y[3], +1*k[799]*y[8], -1* k[800]*y[66]*y[3], +1*k[803]*y[1], -1* k[804]*y[3]*y[3], +1*k[803]*y[1], -1* k[804]*y[3]*y[3], +1*k[805]*y[11], -1* k[806]*y[12]*y[3], +1*k[813]*y[14], -1* k[814]*y[11]*y[3]*y[3], +1*k[813]*y[14], -1* k[814]*y[11]*y[3]*y[3], +1*k[815]*y[14], -1* k[816]*y[13]*y[3], +1*k[819]*y[16], -1* k[820]*y[14]*y[3]*y[3], +1*k[819]*y[16], -1* k[820]*y[14]*y[3]*y[3], +1*k[827]*y[0], -1* k[828]*y[3]*y[4], +1*k[829]*y[21], -1* k[830]*y[3]*y[17], +1*k[833]*y[20], -1* k[834]*y[3]*y[21], +1*k[839]*y[23], -1* k[840]*y[22]*y[3], +1*k[847]*y[35], -1* k[848]*y[33]*y[3], +1*k[849]*y[35], -1* k[850]*y[29]*y[3]*y[3], +1*k[849]*y[35], -1* k[850]*y[29]*y[3]*y[3], +1*k[851]*y[31], -1* k[852]*y[3]*y[30], +1*k[857]*y[39], -1* k[858]*y[38]*y[3], +1*k[861]*y[42], -1* k[862]*y[3]*y[51], +1*k[871]*y[7], -1* k[872]*y[5]*y[3], +1*k[873]*y[63], -1* k[874]*y[64]*y[3]]
+ rate_str["O"] = [ -1*k[3]*y[4]*y[1], +1* k[4]*y[0]*y[3], -1*k[5]*y[4]*y[2], +1* k[6]*y[0]*y[0], -1*k[41]*y[10]*y[4], +1* k[42]*y[6]*y[17], -1*k[57]*y[11]*y[4], +1* k[58]*y[7]*y[17], -1*k[81]*y[12]*y[4], +1* k[82]*y[5]*y[17], +1*k[83]*y[12]*y[0], -1* k[84]*y[11]*y[4], -1*k[101]*y[5]*y[4], +1* k[102]*y[0]*y[6], -1*k[103]*y[4]*y[5], +1* k[104]*y[3]*y[17], -1*k[105]*y[4]*y[8], +1* k[106]*y[7]*y[0], +1*k[107]*y[8]*y[0], -1* k[108]*y[4]*y[9], -1*k[109]*y[4]*y[16], +1* k[110]*y[0]*y[15], -1*k[125]*y[4]*y[14], +1* k[126]*y[21]*y[8], -1*k[137]*y[8]*y[4], +1* k[138]*y[20]*y[3], -1*k[139]*y[22]*y[4], +1* k[140]*y[20]*y[0], -1*k[147]*y[7]*y[4], +1* k[148]*y[17]*y[3]*y[3], -1*k[167]*y[4]*y[13], +1* k[168]*y[11]*y[0], -1*k[173]*y[4]*y[7], +1* k[174]*y[17]*y[1], -1*k[197]*y[4]*y[0], +1* k[198]*y[25]*y[3], -1*k[203]*y[4]*y[13], +1* k[204]*y[26]*y[3], -1*k[205]*y[11]*y[4], +1* k[206]*y[27]*y[3], -1*k[209]*y[4]*y[20], +1* k[210]*y[21]*y[0], -1*k[257]*y[4]*y[29], +1* k[258]*y[0]*y[28], -1*k[259]*y[4]*y[29], +1* k[260]*y[32]*y[3], -1*k[261]*y[4]*y[35], +1* k[262]*y[0]*y[33], +1*k[265]*y[0]*y[30], -1* k[266]*y[4]*y[31], +1*k[271]*y[0]*y[29], -1* k[272]*y[4]*y[33], -1*k[275]*y[30]*y[4], +1* k[276]*y[28]*y[17], +1*k[279]*y[28]*y[32], -1* k[280]*y[34]*y[4], +1*k[287]*y[32]*y[6], -1* k[288]*y[4]*y[30], +1*k[289]*y[32]*y[5], -1* k[290]*y[4]*y[31], -1*k[309]*y[33]*y[4], +1* k[310]*y[1]*y[32], -1*k[321]*y[31]*y[4], +1* k[322]*y[17]*y[29], -1*k[337]*y[38]*y[4], +1* k[338]*y[36]*y[0], -1*k[347]*y[37]*y[4], +1* k[348]*y[34]*y[0], -1*k[355]*y[36]*y[4], +1* k[356]*y[37]*y[0], -1*k[373]*y[37]*y[4], +1* k[374]*y[29]*y[32], -1*k[381]*y[4]*y[22], +1* k[382]*y[25]*y[8], +1*k[383]*y[25]*y[6], -1* k[384]*y[4]*y[17], +1*k[393]*y[28]*y[25], -1* k[394]*y[32]*y[4], +1*k[397]*y[29]*y[25], -1* k[398]*y[40]*y[4], -1*k[401]*y[43]*y[4], +1* k[402]*y[32]*y[25], -1*k[403]*y[44]*y[4], +1* k[404]*y[34]*y[25], -1*k[441]*y[4]*y[15], +1* k[442]*y[49]*y[3], -1*k[449]*y[40]*y[4], +1* k[450]*y[32]*y[0], -1*k[475]*y[31]*y[4], +1* k[476]*y[51]*y[3], -1*k[481]*y[42]*y[4], +1* k[482]*y[51]*y[0], -1*k[491]*y[33]*y[4], +1* k[492]*y[40]*y[3], +1*k[497]*y[52]*y[3], -1* k[498]*y[4]*y[2], -1*k[503]*y[4]*y[53], +1* k[504]*y[0]*y[52], -1*k[511]*y[4]*y[52], +1* k[512]*y[0]*y[25], -1*k[533]*y[55]*y[4], +1* k[534]*y[56]*y[0], -1*k[545]*y[56]*y[4], +1* k[546]*y[31]*y[21], -1*k[595]*y[4]*y[14], +1* k[596]*y[20]*y[7], -1*k[597]*y[4]*y[13], +1* k[598]*y[21]*y[7], +1*k[607]*y[28]*y[43], -1* k[608]*y[44]*y[4], +1*k[623]*y[65]*y[18], -1* k[624]*y[4]*y[18], +1*k[631]*y[65]*y[34], -1* k[632]*y[4]*y[34], +1*k[649]*y[67]*y[25], -1* k[650]*y[32]*y[4], -1*k[659]*y[3]*y[4]*M, +1* k[660]*y[0]*M, -1*k[691]*y[17]*y[4]*M, +1* k[692]*y[18]*M, -1*k[727]*y[32]*y[4]*M, +1* k[728]*y[43]*M, +1*k[729]*y[44]*M, -1* k[730]*y[34]*y[4]*M, -1*k[769]*y[4]*y[6]*M, +1* k[770]*y[17]*M, -1*k[773]*y[4]*y[28]*M, +1* k[774]*y[32]*M, -1*k[775]*y[4]*y[4]*M, +1* k[776]*y[25]*M, -1*k[775]*y[4]*y[4]*M, +1* k[776]*y[25]*M, +1*k[787]*y[2], -1* k[788]*y[3]*y[3]*y[4], +1*k[801]*y[17], -1* k[802]*y[6]*y[4], +1*k[807]*y[18], -1* k[808]*y[17]*y[4], +1*k[827]*y[0], -1* k[828]*y[3]*y[4], +1*k[853]*y[32], -1* k[854]*y[28]*y[4], +1*k[855]*y[43], -1* k[856]*y[32]*y[4], +1*k[863]*y[52], -1* k[864]*y[4]*y[0], +1*k[865]*y[25], -1* k[866]*y[4]*y[4], +1*k[865]*y[25], -1* k[866]*y[4]*y[4], +1*k[867]*y[25], -1* k[868]*y[4]*y[65]]
+ rate_str["CH"] = [ -1*k[7]*y[3]*y[5], +1* k[8]*y[1]*y[6], +1*k[9]*y[3]*y[7], -1* k[10]*y[5]*y[1], -1*k[15]*y[6]*y[5], +1* k[16]*y[10]*y[3], -1*k[21]*y[5]*y[7], +1* k[22]*y[3]*y[11], -1*k[27]*y[5]*y[9], +1* k[28]*y[3]*y[14], -1*k[39]*y[5]*y[8], +1* k[40]*y[1]*y[11], +1*k[45]*y[7]*y[7], -1* k[46]*y[5]*y[8], +1*k[77]*y[12]*y[7], -1* k[78]*y[5]*y[11], +1*k[81]*y[12]*y[4], -1* k[82]*y[5]*y[17], -1*k[101]*y[5]*y[4], +1* k[102]*y[0]*y[6], -1*k[103]*y[4]*y[5], +1* k[104]*y[3]*y[17], +1*k[113]*y[0]*y[7], -1* k[114]*y[2]*y[5], -1*k[135]*y[18]*y[5], +1* k[136]*y[21]*y[17], -1*k[169]*y[5]*y[14], +1* k[170]*y[11]*y[8], -1*k[217]*y[28]*y[5], +1* k[218]*y[29]*y[6], -1*k[219]*y[28]*y[5], +1* k[220]*y[30]*y[3], +1*k[221]*y[28]*y[7], -1* k[222]*y[29]*y[5], +1*k[235]*y[7]*y[30], -1* k[236]*y[5]*y[31], -1*k[289]*y[32]*y[5], +1* k[290]*y[4]*y[31], -1*k[291]*y[32]*y[5], +1* k[292]*y[17]*y[29], -1*k[315]*y[35]*y[5], +1* k[316]*y[33]*y[7], -1*k[439]*y[5]*y[2], +1* k[440]*y[20]*y[3], -1*k[571]*y[5]*y[11], +1* k[572]*y[59]*y[3], -1*k[583]*y[5]*y[58], +1* k[584]*y[61]*y[3], -1*k[663]*y[3]*y[5]*M, +1* k[664]*y[7]*M, -1*k[677]*y[5]*M, +1* k[678]*y[6]*y[3]*M, -1*k[681]*y[5]*y[1]*M, +1* k[682]*y[8]*M, -1*k[697]*y[2]*y[5]*M, +1* k[698]*y[19]*M, +1*k[795]*y[9], -1* k[796]*y[5]*y[1]*y[3], +1*k[797]*y[8], -1* k[798]*y[5]*y[1], +1*k[871]*y[7], -1* k[872]*y[5]*y[3]]
+ rate_str["C"] = [ +1*k[7]*y[3]*y[5], -1* k[8]*y[1]*y[6], -1*k[15]*y[6]*y[5], +1* k[16]*y[10]*y[3], -1*k[17]*y[8]*y[6], +1* k[18]*y[3]*y[11], +1*k[41]*y[10]*y[4], -1* k[42]*y[6]*y[17], +1*k[101]*y[5]*y[4], -1* k[102]*y[0]*y[6], -1*k[111]*y[0]*y[6], +1* k[112]*y[17]*y[3], +1*k[217]*y[28]*y[5], -1* k[218]*y[29]*y[6], +1*k[225]*y[28]*y[10], -1* k[226]*y[30]*y[6], +1*k[283]*y[28]*y[30], -1* k[284]*y[34]*y[6], -1*k[287]*y[32]*y[6], +1* k[288]*y[4]*y[30], -1*k[301]*y[29]*y[6], +1* k[302]*y[3]*y[30], -1*k[383]*y[25]*y[6], +1* k[384]*y[4]*y[17], -1*k[593]*y[6]*y[11], +1* k[594]*y[59], -1*k[675]*y[1]*y[6]*M, +1* k[676]*y[7]*M, +1*k[677]*y[5]*M, -1* k[678]*y[6]*y[3]*M, -1*k[739]*y[6]*y[6]*M, +1* k[740]*y[10]*M, -1*k[739]*y[6]*y[6]*M, +1* k[740]*y[10]*M, -1*k[769]*y[4]*y[6]*M, +1* k[770]*y[17]*M, +1*k[801]*y[17], -1* k[802]*y[6]*y[4]]
+ rate_str["CH2"] = [ -1*k[9]*y[3]*y[7], +1* k[10]*y[5]*y[1], -1*k[11]*y[7]*y[1], +1* k[12]*y[3]*y[8], -1*k[21]*y[5]*y[7], +1* k[22]*y[3]*y[11], -1*k[29]*y[7]*y[8], +1* k[30]*y[3]*y[14], -1*k[43]*y[7]*y[7], +1* k[44]*y[11]*y[3]*y[3], -1*k[43]*y[7]*y[7], +1* k[44]*y[11]*y[3]*y[3], -1*k[45]*y[7]*y[7], +1* k[46]*y[5]*y[8], -1*k[45]*y[7]*y[7], +1* k[46]*y[5]*y[8], -1*k[47]*y[7]*y[7], +1* k[48]*y[3]*y[13], -1*k[47]*y[7]*y[7], +1* k[48]*y[3]*y[13], -1*k[49]*y[7]*y[9], +1* k[50]*y[8]*y[8], -1*k[51]*y[7]*y[15], +1* k[52]*y[8]*y[14], +1*k[53]*y[8]*y[0], -1* k[54]*y[7]*y[2], +1*k[55]*y[12]*y[0], -1* k[56]*y[7]*y[17], +1*k[57]*y[11]*y[4], -1* k[58]*y[7]*y[17], +1*k[59]*y[8]*y[12], -1* k[60]*y[11]*y[7], -1*k[77]*y[12]*y[7], +1* k[78]*y[5]*y[11], +1*k[105]*y[4]*y[8], -1* k[106]*y[7]*y[0], -1*k[113]*y[0]*y[7], +1* k[114]*y[2]*y[5], -1*k[147]*y[7]*y[4], +1* k[148]*y[17]*y[3]*y[3], -1*k[149]*y[7]*y[0], +1* k[150]*y[20]*y[3], -1*k[151]*y[18]*y[7], +1* k[152]*y[20]*y[17], -1*k[171]*y[7]*y[13], +1* k[172]*y[11]*y[8], -1*k[173]*y[4]*y[7], +1* k[174]*y[17]*y[1], -1*k[175]*y[21]*y[7], +1* k[176]*y[17]*y[8], -1*k[177]*y[19]*y[7], +1* k[178]*y[0]*y[14], -1*k[179]*y[19]*y[7], +1* k[180]*y[20]*y[8], -1*k[181]*y[22]*y[7], +1* k[182]*y[20]*y[8], -1*k[183]*y[23]*y[7], +1* k[184]*y[22]*y[8], -1*k[185]*y[23]*y[7], +1* k[186]*y[19]*y[8], +1*k[207]*y[27]*y[3], -1* k[208]*y[17]*y[7], -1*k[221]*y[28]*y[7], +1* k[222]*y[29]*y[5], -1*k[223]*y[28]*y[7], +1* k[224]*y[31]*y[3], -1*k[235]*y[7]*y[30], +1* k[236]*y[5]*y[31], +1*k[241]*y[8]*y[30], -1* k[242]*y[7]*y[31], -1*k[285]*y[34]*y[7], +1* k[286]*y[29]*y[31], +1*k[315]*y[35]*y[5], -1* k[316]*y[33]*y[7], -1*k[361]*y[32]*y[7], +1* k[362]*y[42]*y[3], +1*k[371]*y[8]*y[33], -1* k[372]*y[35]*y[7], -1*k[385]*y[25]*y[7], +1* k[386]*y[2]*y[17], -1*k[565]*y[7]*y[11], +1* k[566]*y[59]*y[1], -1*k[567]*y[7]*y[11], +1* k[568]*y[58]*y[3], -1*k[569]*y[7]*y[12], +1* k[570]*y[59]*y[3], +1*k[595]*y[4]*y[14], -1* k[596]*y[20]*y[7], +1*k[597]*y[4]*y[13], -1* k[598]*y[21]*y[7], +1*k[635]*y[66]*y[1], -1* k[636]*y[7]*y[1], +1*k[637]*y[66]*y[2], -1* k[638]*y[7]*y[2], +1*k[639]*y[66]*y[17], -1* k[640]*y[7]*y[17], +1*k[663]*y[3]*y[5]*M, -1* k[664]*y[7]*M, +1*k[675]*y[1]*y[6]*M, -1* k[676]*y[7]*M, -1*k[679]*y[7]*y[3]*M, +1* k[680]*y[8]*M, -1*k[757]*y[7]*y[11]*M, +1* k[758]*y[60]*M, -1*k[871]*y[7], +1* k[872]*y[5]*y[3]]
+ rate_str["CH3"] = [ +1*k[11]*y[7]*y[1], -1* k[12]*y[3]*y[8], +1*k[13]*y[3]*y[9], -1* k[14]*y[8]*y[1], -1*k[17]*y[8]*y[6], +1* k[18]*y[3]*y[11], -1*k[29]*y[7]*y[8], +1* k[30]*y[3]*y[14], +1*k[31]*y[3]*y[15], -1* k[32]*y[8]*y[8], +1*k[31]*y[3]*y[15], -1* k[32]*y[8]*y[8], -1*k[39]*y[5]*y[8], +1* k[40]*y[1]*y[11], +1*k[45]*y[7]*y[7], -1* k[46]*y[5]*y[8], +1*k[49]*y[7]*y[9], -1* k[50]*y[8]*y[8], +1*k[49]*y[7]*y[9], -1* k[50]*y[8]*y[8], +1*k[51]*y[7]*y[15], -1* k[52]*y[8]*y[14], -1*k[53]*y[8]*y[0], +1* k[54]*y[7]*y[2], -1*k[59]*y[8]*y[12], +1* k[60]*y[11]*y[7], +1*k[61]*y[9]*y[12], -1* k[62]*y[8]*y[11], -1*k[63]*y[8]*y[13], +1* k[64]*y[9]*y[11], +1*k[65]*y[9]*y[13], -1* k[66]*y[8]*y[14], -1*k[67]*y[8]*y[15], +1* k[68]*y[9]*y[14], -1*k[69]*y[8]*y[16], +1* k[70]*y[9]*y[15], +1*k[71]*y[11]*y[0], -1* k[72]*y[8]*y[17], +1*k[75]*y[10]*y[9], -1* k[76]*y[8]*y[12], -1*k[105]*y[4]*y[8], +1* k[106]*y[7]*y[0], -1*k[107]*y[8]*y[0], +1* k[108]*y[4]*y[9], +1*k[115]*y[0]*y[9], -1* k[116]*y[2]*y[8], +1*k[121]*y[19]*y[3], -1* k[122]*y[0]*y[8], +1*k[125]*y[4]*y[14], -1* k[126]*y[21]*y[8], -1*k[127]*y[20]*y[8], +1* k[128]*y[9]*y[21], -1*k[129]*y[8]*y[19], +1* k[130]*y[20]*y[9], -1*k[137]*y[8]*y[4], +1* k[138]*y[20]*y[3], +1*k[145]*y[23]*y[3], -1* k[146]*y[8]*y[2], +1*k[153]*y[22]*y[17], -1* k[154]*y[8]*y[18], +1*k[169]*y[5]*y[14], -1* k[170]*y[11]*y[8], +1*k[171]*y[7]*y[13], -1* k[172]*y[11]*y[8], +1*k[175]*y[21]*y[7], -1* k[176]*y[17]*y[8], +1*k[179]*y[19]*y[7], -1* k[180]*y[20]*y[8], +1*k[181]*y[22]*y[7], -1* k[182]*y[20]*y[8], +1*k[183]*y[23]*y[7], -1* k[184]*y[22]*y[8], +1*k[185]*y[23]*y[7], -1* k[186]*y[19]*y[8], -1*k[187]*y[21]*y[8], +1* k[188]*y[17]*y[9], -1*k[189]*y[22]*y[8], +1* k[190]*y[20]*y[9], -1*k[191]*y[23]*y[8], +1* k[192]*y[22]*y[9], +1*k[193]*y[24]*y[3], -1* k[194]*y[21]*y[8], -1*k[195]*y[24]*y[8], +1* k[196]*y[17]*y[16], +1*k[201]*y[3]*y[26], -1* k[202]*y[17]*y[8], -1*k[237]*y[8]*y[29], +1* k[238]*y[9]*y[28], -1*k[239]*y[8]*y[33], +1* k[240]*y[9]*y[29], -1*k[241]*y[8]*y[30], +1* k[242]*y[7]*y[31], +1*k[243]*y[9]*y[30], -1* k[244]*y[31]*y[8], -1*k[293]*y[32]*y[8], +1* k[294]*y[31]*y[2], +1*k[307]*y[33]*y[9], -1* k[308]*y[8]*y[35], -1*k[331]*y[36]*y[8], +1* k[332]*y[37]*y[9], -1*k[367]*y[8]*y[28], +1* k[368]*y[41]*y[3], -1*k[369]*y[8]*y[28], +1* k[370]*y[31]*y[1], -1*k[371]*y[8]*y[33], +1* k[372]*y[35]*y[7], -1*k[377]*y[32]*y[8], +1* k[378]*y[41]*y[0], +1*k[381]*y[4]*y[22], -1* k[382]*y[25]*y[8], -1*k[387]*y[25]*y[8], +1* k[388]*y[0]*y[20], -1*k[413]*y[43]*y[8], +1* k[414]*y[32]*y[22], -1*k[423]*y[46]*y[8], +1* k[424]*y[33]*y[15], -1*k[431]*y[8]*y[33], +1* k[432]*y[47]*y[1], -1*k[433]*y[8]*y[33], +1* k[434]*y[46]*y[3], -1*k[435]*y[48]*y[8], +1* k[436]*y[46]*y[9], -1*k[513]*y[8]*y[52], +1* k[514]*y[9]*y[25], +1*k[527]*y[3]*y[55], -1* k[528]*y[31]*y[8], +1*k[547]*y[52]*y[9], -1* k[548]*y[8]*y[53], +1*k[553]*y[12]*y[15], -1* k[554]*y[58]*y[8], +1*k[555]*y[13]*y[13], -1* k[556]*y[8]*y[58], -1*k[573]*y[8]*y[12], +1* k[574]*y[58]*y[3], -1*k[579]*y[38]*y[8], +1* k[580]*y[36]*y[9], -1*k[581]*y[8]*y[11], +1* k[582]*y[60]*y[3], +1*k[591]*y[64]*y[9], -1* k[592]*y[63]*y[8], -1*k[611]*y[8]*y[30], +1* k[612]*y[56]*y[3], +1*k[619]*y[65]*y[9], -1* k[620]*y[0]*y[8], +1*k[633]*y[66]*y[1], -1* k[634]*y[8]*y[3], -1*k[653]*y[0]*y[8], +1* k[654]*y[66]*y[2], -1*k[665]*y[3]*y[8]*M, +1* k[666]*y[9]*M, +1*k[679]*y[7]*y[3]*M, -1* k[680]*y[8]*M, +1*k[681]*y[5]*y[1]*M, -1* k[682]*y[8]*M, -1*k[683]*y[8]*y[8]*M, +1* k[684]*y[16]*M, -1*k[683]*y[8]*y[8]*M, +1* k[684]*y[16]*M, -1*k[705]*y[17]*y[8]*M, +1* k[706]*y[24]*M, -1*k[733]*y[33]*y[8]*M, +1* k[734]*y[48]*M, -1*k[781]*y[0]*y[8]*M, +1* k[782]*y[23]*M, +1*k[789]*y[9], -1* k[790]*y[8]*y[3], -1*k[797]*y[8], +1* k[798]*y[5]*y[1], -1*k[799]*y[8], +1* k[800]*y[66]*y[3], +1*k[825]*y[16], -1* k[826]*y[8]*y[8], +1*k[825]*y[16], -1* k[826]*y[8]*y[8], +1*k[835]*y[23], -1* k[836]*y[8]*y[0], +1*k[843]*y[49], -1* k[844]*y[8]*y[21]]
+ rate_str["CH4"] = [ -1*k[13]*y[3]*y[9], +1* k[14]*y[8]*y[1], -1*k[27]*y[5]*y[9], +1* k[28]*y[3]*y[14], -1*k[49]*y[7]*y[9], +1* k[50]*y[8]*y[8], -1*k[61]*y[9]*y[12], +1* k[62]*y[8]*y[11], +1*k[63]*y[8]*y[13], -1* k[64]*y[9]*y[11], -1*k[65]*y[9]*y[13], +1* k[66]*y[8]*y[14], +1*k[67]*y[8]*y[15], -1* k[68]*y[9]*y[14], +1*k[69]*y[8]*y[16], -1* k[70]*y[9]*y[15], -1*k[75]*y[10]*y[9], +1* k[76]*y[8]*y[12], +1*k[107]*y[8]*y[0], -1* k[108]*y[4]*y[9], -1*k[115]*y[0]*y[9], +1* k[116]*y[2]*y[8], +1*k[127]*y[20]*y[8], -1* k[128]*y[9]*y[21], +1*k[129]*y[8]*y[19], -1* k[130]*y[20]*y[9], +1*k[187]*y[21]*y[8], -1* k[188]*y[17]*y[9], +1*k[189]*y[22]*y[8], -1* k[190]*y[20]*y[9], +1*k[191]*y[23]*y[8], -1* k[192]*y[22]*y[9], +1*k[237]*y[8]*y[29], -1* k[238]*y[9]*y[28], +1*k[239]*y[8]*y[33], -1* k[240]*y[9]*y[29], -1*k[243]*y[9]*y[30], +1* k[244]*y[31]*y[8], -1*k[307]*y[33]*y[9], +1* k[308]*y[8]*y[35], +1*k[331]*y[36]*y[8], -1* k[332]*y[37]*y[9], +1*k[435]*y[48]*y[8], -1* k[436]*y[46]*y[9], +1*k[513]*y[8]*y[52], -1* k[514]*y[9]*y[25], -1*k[547]*y[52]*y[9], +1* k[548]*y[8]*y[53], +1*k[579]*y[38]*y[8], -1* k[580]*y[36]*y[9], -1*k[591]*y[64]*y[9], +1* k[592]*y[63]*y[8], -1*k[619]*y[65]*y[9], +1* k[620]*y[0]*y[8], +1*k[665]*y[3]*y[8]*M, -1* k[666]*y[9]*M, -1*k[789]*y[9], +1* k[790]*y[8]*y[3], -1*k[791]*y[9], +1* k[792]*y[66]*y[1], -1*k[793]*y[9], +1* k[794]*y[66]*y[3]*y[3], -1*k[795]*y[9], +1* k[796]*y[5]*y[1]*y[3], +1*k[823]*y[16], -1* k[824]*y[9]*y[66], +1*k[841]*y[49], -1* k[842]*y[9]*y[17]]
+ rate_str["C2"] = [ +1*k[15]*y[6]*y[5], -1* k[16]*y[10]*y[3], -1*k[41]*y[10]*y[4], +1* k[42]*y[6]*y[17], -1*k[73]*y[10]*y[1], +1* k[74]*y[3]*y[12], -1*k[75]*y[10]*y[9], +1* k[76]*y[8]*y[12], -1*k[225]*y[28]*y[10], +1* k[226]*y[30]*y[6], -1*k[245]*y[10]*y[34], +1* k[246]*y[30]*y[30], -1*k[539]*y[57]*y[10], +1* k[540]*y[31]*y[45], -1*k[541]*y[57]*y[10], +1* k[542]*y[54]*y[11], +1*k[739]*y[6]*y[6]*M, -1* k[740]*y[10]*M, +1*k[767]*y[12]*M, -1* k[768]*y[10]*y[3]*M, +1*k[869]*y[45], -1* k[870]*y[11]*y[10]]
+ rate_str["C2H2"] = [ +1*k[17]*y[8]*y[6], -1* k[18]*y[3]*y[11], +1*k[19]*y[1]*y[12], -1* k[20]*y[3]*y[11], +1*k[21]*y[5]*y[7], -1* k[22]*y[3]*y[11], +1*k[23]*y[3]*y[13], -1* k[24]*y[11]*y[1], +1*k[39]*y[5]*y[8], -1* k[40]*y[1]*y[11], +1*k[43]*y[7]*y[7], -1* k[44]*y[11]*y[3]*y[3], -1*k[57]*y[11]*y[4], +1* k[58]*y[7]*y[17], +1*k[59]*y[8]*y[12], -1* k[60]*y[11]*y[7], +1*k[61]*y[9]*y[12], -1* k[62]*y[8]*y[11], +1*k[63]*y[8]*y[13], -1* k[64]*y[9]*y[11], -1*k[71]*y[11]*y[0], +1* k[72]*y[8]*y[17], +1*k[77]*y[12]*y[7], -1* k[78]*y[5]*y[11], +1*k[79]*y[12]*y[16], -1* k[80]*y[11]*y[15], +1*k[83]*y[12]*y[0], -1* k[84]*y[11]*y[4], +1*k[85]*y[12]*y[2], -1* k[86]*y[11]*y[0], +1*k[87]*y[13]*y[13], -1* k[88]*y[14]*y[11], +1*k[91]*y[13]*y[15], -1* k[92]*y[16]*y[11], +1*k[117]*y[0]*y[13], -1* k[118]*y[2]*y[11], +1*k[157]*y[21]*y[12], -1* k[158]*y[11]*y[17], +1*k[159]*y[19]*y[12], -1* k[160]*y[20]*y[11], +1*k[161]*y[22]*y[12], -1* k[162]*y[20]*y[11], +1*k[163]*y[23]*y[12], -1* k[164]*y[19]*y[11], +1*k[165]*y[23]*y[12], -1* k[166]*y[22]*y[11], +1*k[167]*y[4]*y[13], -1* k[168]*y[11]*y[0], +1*k[169]*y[5]*y[14], -1* k[170]*y[11]*y[8], +1*k[171]*y[7]*y[13], -1* k[172]*y[11]*y[8], -1*k[205]*y[11]*y[4], +1* k[206]*y[27]*y[3], +1*k[247]*y[33]*y[12], -1* k[248]*y[29]*y[11], +1*k[249]*y[33]*y[13], -1* k[250]*y[35]*y[11], -1*k[417]*y[12]*y[11], +1* k[418]*y[45]*y[3], -1*k[523]*y[30]*y[11], +1* k[524]*y[54]*y[3], +1*k[541]*y[57]*y[10], -1* k[542]*y[54]*y[11], -1*k[565]*y[7]*y[11], +1* k[566]*y[59]*y[1], -1*k[567]*y[7]*y[11], +1* k[568]*y[58]*y[3], -1*k[571]*y[5]*y[11], +1* k[572]*y[59]*y[3], -1*k[581]*y[8]*y[11], +1* k[582]*y[60]*y[3], -1*k[587]*y[11]*y[62], +1* k[588]*y[63]*y[3], -1*k[593]*y[6]*y[11], +1* k[594]*y[59], -1*k[641]*y[66]*y[11], +1* k[642]*y[58]*y[3], -1*k[667]*y[3]*y[11]*M, +1* k[668]*y[13]*M, +1*k[685]*y[12]*y[3]*M, -1* k[686]*y[11]*M, +1*k[687]*y[14]*M, -1* k[688]*y[11]*y[1]*M, -1*k[703]*y[0]*y[11]*M, +1* k[704]*y[24]*M, -1*k[757]*y[7]*y[11]*M, +1* k[758]*y[60]*M, -1*k[763]*y[11]*y[61]*M, +1* k[764]*y[64]*M, -1*k[765]*y[11]*y[13]*M, +1* k[766]*y[62]*M, -1*k[805]*y[11], +1* k[806]*y[12]*y[3], +1*k[811]*y[14], -1* k[812]*y[11]*y[1], +1*k[813]*y[14], -1* k[814]*y[11]*y[3]*y[3], +1*k[821]*y[16], -1* k[822]*y[11]*y[1]*y[1], +1*k[869]*y[45], -1* k[870]*y[11]*y[10]]
+ rate_str["C2H"] = [ -1*k[19]*y[1]*y[12], +1* k[20]*y[3]*y[11], -1*k[55]*y[12]*y[0], +1* k[56]*y[7]*y[17], -1*k[59]*y[8]*y[12], +1* k[60]*y[11]*y[7], -1*k[61]*y[9]*y[12], +1* k[62]*y[8]*y[11], +1*k[73]*y[10]*y[1], -1* k[74]*y[3]*y[12], +1*k[75]*y[10]*y[9], -1* k[76]*y[8]*y[12], -1*k[77]*y[12]*y[7], +1* k[78]*y[5]*y[11], -1*k[79]*y[12]*y[16], +1* k[80]*y[11]*y[15], -1*k[81]*y[12]*y[4], +1* k[82]*y[5]*y[17], -1*k[83]*y[12]*y[0], +1* k[84]*y[11]*y[4], -1*k[85]*y[12]*y[2], +1* k[86]*y[11]*y[0], -1*k[157]*y[21]*y[12], +1* k[158]*y[11]*y[17], -1*k[159]*y[19]*y[12], +1* k[160]*y[20]*y[11], -1*k[161]*y[22]*y[12], +1* k[162]*y[20]*y[11], -1*k[163]*y[23]*y[12], +1* k[164]*y[19]*y[11], -1*k[165]*y[23]*y[12], +1* k[166]*y[22]*y[11], -1*k[247]*y[33]*y[12], +1* k[248]*y[29]*y[11], -1*k[389]*y[25]*y[12], +1* k[390]*y[17]*y[21], -1*k[417]*y[12]*y[11], +1* k[418]*y[45]*y[3], -1*k[525]*y[31]*y[12], +1* k[526]*y[54]*y[3], -1*k[553]*y[12]*y[15], +1* k[554]*y[58]*y[8], -1*k[559]*y[19]*y[12], +1* k[560]*y[0]*y[58], -1*k[569]*y[7]*y[12], +1* k[570]*y[59]*y[3], -1*k[573]*y[8]*y[12], +1* k[574]*y[58]*y[3], -1*k[585]*y[12]*y[15], +1* k[586]*y[62]*y[3], -1*k[685]*y[12]*y[3]*M, +1* k[686]*y[11]*M, -1*k[767]*y[12]*M, +1* k[768]*y[10]*y[3]*M, +1*k[805]*y[11], -1* k[806]*y[12]*y[3]]
+ rate_str["C2H3"] = [ -1*k[23]*y[3]*y[13], +1* k[24]*y[11]*y[1], -1*k[25]*y[1]*y[13], +1* k[26]*y[3]*y[14], +1*k[47]*y[7]*y[7], -1* k[48]*y[3]*y[13], -1*k[63]*y[8]*y[13], +1* k[64]*y[9]*y[11], -1*k[65]*y[9]*y[13], +1* k[66]*y[8]*y[14], -1*k[87]*y[13]*y[13], +1* k[88]*y[14]*y[11], -1*k[87]*y[13]*y[13], +1* k[88]*y[14]*y[11], -1*k[89]*y[13]*y[15], +1* k[90]*y[14]*y[14], -1*k[91]*y[13]*y[15], +1* k[92]*y[16]*y[11], +1*k[93]*y[14]*y[0], -1* k[94]*y[13]*y[2], +1*k[97]*y[15]*y[14], -1* k[98]*y[13]*y[16], -1*k[117]*y[0]*y[13], +1* k[118]*y[2]*y[11], -1*k[167]*y[4]*y[13], +1* k[168]*y[11]*y[0], -1*k[171]*y[7]*y[13], +1* k[172]*y[11]*y[8], -1*k[203]*y[4]*y[13], +1* k[204]*y[26]*y[3], -1*k[249]*y[33]*y[13], +1* k[250]*y[35]*y[11], +1*k[251]*y[33]*y[14], -1* k[252]*y[35]*y[13], -1*k[391]*y[25]*y[13], +1* k[392]*y[20]*y[21], -1*k[537]*y[31]*y[13], +1* k[538]*y[57]*y[3], -1*k[543]*y[28]*y[13], +1* k[544]*y[56]*y[3], -1*k[555]*y[13]*y[13], +1* k[556]*y[8]*y[58], -1*k[555]*y[13]*y[13], +1* k[556]*y[8]*y[58], +1*k[557]*y[58]*y[0], -1* k[558]*y[21]*y[13], -1*k[597]*y[4]*y[13], +1* k[598]*y[21]*y[7], +1*k[667]*y[3]*y[11]*M, -1* k[668]*y[13]*M, -1*k[669]*y[3]*y[13]*M, +1* k[670]*y[14]*M, -1*k[765]*y[11]*y[13]*M, +1* k[766]*y[62]*M, +1*k[815]*y[14], -1* k[816]*y[13]*y[3]]
+ rate_str["C2H4"] = [ +1*k[25]*y[1]*y[13], -1* k[26]*y[3]*y[14], +1*k[27]*y[5]*y[9], -1* k[28]*y[3]*y[14], +1*k[29]*y[7]*y[8], -1* k[30]*y[3]*y[14], +1*k[33]*y[3]*y[15], -1* k[34]*y[14]*y[1], +1*k[51]*y[7]*y[15], -1* k[52]*y[8]*y[14], +1*k[65]*y[9]*y[13], -1* k[66]*y[8]*y[14], +1*k[67]*y[8]*y[15], -1* k[68]*y[9]*y[14], +1*k[87]*y[13]*y[13], -1* k[88]*y[14]*y[11], +1*k[89]*y[13]*y[15], -1* k[90]*y[14]*y[14], +1*k[89]*y[13]*y[15], -1* k[90]*y[14]*y[14], -1*k[93]*y[14]*y[0], +1* k[94]*y[13]*y[2], +1*k[95]*y[15]*y[15], -1* k[96]*y[14]*y[16], -1*k[97]*y[15]*y[14], +1* k[98]*y[13]*y[16], +1*k[119]*y[0]*y[15], -1* k[120]*y[2]*y[14], -1*k[125]*y[4]*y[14], +1* k[126]*y[21]*y[8], -1*k[169]*y[5]*y[14], +1* k[170]*y[11]*y[8], +1*k[177]*y[19]*y[7], -1* k[178]*y[0]*y[14], -1*k[251]*y[33]*y[14], +1* k[252]*y[35]*y[13], +1*k[253]*y[33]*y[15], -1* k[254]*y[35]*y[14], -1*k[535]*y[30]*y[14], +1* k[536]*y[57]*y[3], -1*k[595]*y[4]*y[14], +1* k[596]*y[20]*y[7], +1*k[669]*y[3]*y[13]*M, -1* k[670]*y[14]*M, -1*k[671]*y[3]*y[14]*M, +1* k[672]*y[15]*M, -1*k[687]*y[14]*M, +1* k[688]*y[11]*y[1]*M, +1*k[689]*y[16]*M, -1* k[690]*y[14]*y[1]*M, -1*k[811]*y[14], +1* k[812]*y[11]*y[1], -1*k[813]*y[14], +1* k[814]*y[11]*y[3]*y[3], -1*k[815]*y[14], +1* k[816]*y[13]*y[3], +1*k[817]*y[16], -1* k[818]*y[14]*y[1], +1*k[819]*y[16], -1* k[820]*y[14]*y[3]*y[3]]
+ rate_str["C2H5"] = [ -1*k[31]*y[3]*y[15], +1* k[32]*y[8]*y[8], -1*k[33]*y[3]*y[15], +1* k[34]*y[14]*y[1], +1*k[35]*y[3]*y[16], -1* k[36]*y[15]*y[1], -1*k[51]*y[7]*y[15], +1* k[52]*y[8]*y[14], -1*k[67]*y[8]*y[15], +1* k[68]*y[9]*y[14], +1*k[69]*y[8]*y[16], -1* k[70]*y[9]*y[15], +1*k[79]*y[12]*y[16], -1* k[80]*y[11]*y[15], -1*k[89]*y[13]*y[15], +1* k[90]*y[14]*y[14], -1*k[91]*y[13]*y[15], +1* k[92]*y[16]*y[11], -1*k[95]*y[15]*y[15], +1* k[96]*y[14]*y[16], -1*k[95]*y[15]*y[15], +1* k[96]*y[14]*y[16], -1*k[97]*y[15]*y[14], +1* k[98]*y[13]*y[16], +1*k[99]*y[16]*y[0], -1* k[100]*y[15]*y[2], +1*k[109]*y[4]*y[16], -1* k[110]*y[0]*y[15], -1*k[119]*y[0]*y[15], +1* k[120]*y[2]*y[14], -1*k[253]*y[33]*y[15], +1* k[254]*y[35]*y[14], +1*k[255]*y[33]*y[16], -1* k[256]*y[35]*y[15], +1*k[319]*y[30]*y[16], -1* k[320]*y[15]*y[31], +1*k[423]*y[46]*y[8], -1* k[424]*y[33]*y[15], -1*k[441]*y[4]*y[15], +1* k[442]*y[49]*y[3], -1*k[515]*y[15]*y[52], +1* k[516]*y[16]*y[25], -1*k[553]*y[12]*y[15], +1* k[554]*y[58]*y[8], -1*k[585]*y[12]*y[15], +1* k[586]*y[62]*y[3], +1*k[615]*y[65]*y[16], -1* k[616]*y[15]*y[0], +1*k[671]*y[3]*y[14]*M, -1* k[672]*y[15]*M, -1*k[673]*y[3]*y[15]*M, +1* k[674]*y[16]*M]
+ rate_str["C2H6"] = [ -1*k[35]*y[3]*y[16], +1* k[36]*y[15]*y[1], -1*k[69]*y[8]*y[16], +1* k[70]*y[9]*y[15], -1*k[79]*y[12]*y[16], +1* k[80]*y[11]*y[15], +1*k[91]*y[13]*y[15], -1* k[92]*y[16]*y[11], +1*k[95]*y[15]*y[15], -1* k[96]*y[14]*y[16], +1*k[97]*y[15]*y[14], -1* k[98]*y[13]*y[16], -1*k[99]*y[16]*y[0], +1* k[100]*y[15]*y[2], -1*k[109]*y[4]*y[16], +1* k[110]*y[0]*y[15], +1*k[195]*y[24]*y[8], -1* k[196]*y[17]*y[16], -1*k[255]*y[33]*y[16], +1* k[256]*y[35]*y[15], -1*k[319]*y[30]*y[16], +1* k[320]*y[15]*y[31], +1*k[515]*y[15]*y[52], -1* k[516]*y[16]*y[25], -1*k[615]*y[65]*y[16], +1* k[616]*y[15]*y[0], +1*k[673]*y[3]*y[15]*M, -1* k[674]*y[16]*M, +1*k[683]*y[8]*y[8]*M, -1* k[684]*y[16]*M, -1*k[689]*y[16]*M, +1* k[690]*y[14]*y[1]*M, -1*k[817]*y[16], +1* k[818]*y[14]*y[1], -1*k[819]*y[16], +1* k[820]*y[14]*y[3]*y[3], -1*k[821]*y[16], +1* k[822]*y[11]*y[1]*y[1], -1*k[823]*y[16], +1* k[824]*y[9]*y[66], -1*k[825]*y[16], +1* k[826]*y[8]*y[8]]
+ rate_str["CO"] = [ -1*k[37]*y[0]*y[17], +1* k[38]*y[3]*y[18], +1*k[41]*y[10]*y[4], -1* k[42]*y[6]*y[17], +1*k[55]*y[12]*y[0], -1* k[56]*y[7]*y[17], +1*k[57]*y[11]*y[4], -1* k[58]*y[7]*y[17], +1*k[71]*y[11]*y[0], -1* k[72]*y[8]*y[17], +1*k[81]*y[12]*y[4], -1* k[82]*y[5]*y[17], +1*k[103]*y[4]*y[5], -1* k[104]*y[3]*y[17], +1*k[111]*y[0]*y[6], -1* k[112]*y[17]*y[3], +1*k[131]*y[21]*y[3], -1* k[132]*y[17]*y[1], +1*k[133]*y[21]*y[0], -1* k[134]*y[17]*y[2], +1*k[135]*y[18]*y[5], -1* k[136]*y[21]*y[17], +1*k[147]*y[7]*y[4], -1* k[148]*y[17]*y[3]*y[3], +1*k[151]*y[18]*y[7], -1* k[152]*y[20]*y[17], -1*k[153]*y[22]*y[17], +1* k[154]*y[8]*y[18], +1*k[157]*y[21]*y[12], -1* k[158]*y[11]*y[17], +1*k[173]*y[4]*y[7], -1* k[174]*y[17]*y[1], +1*k[175]*y[21]*y[7], -1* k[176]*y[17]*y[8], +1*k[187]*y[21]*y[8], -1* k[188]*y[17]*y[9], +1*k[195]*y[24]*y[8], -1* k[196]*y[17]*y[16], +1*k[201]*y[3]*y[26], -1* k[202]*y[17]*y[8], +1*k[207]*y[27]*y[3], -1* k[208]*y[17]*y[7], +1*k[211]*y[21]*y[21], -1* k[212]*y[20]*y[17], +1*k[269]*y[0]*y[31], -1* k[270]*y[33]*y[17], +1*k[275]*y[30]*y[4], -1* k[276]*y[28]*y[17], +1*k[277]*y[28]*y[18], -1* k[278]*y[17]*y[32], +1*k[291]*y[32]*y[5], -1* k[292]*y[17]*y[29], +1*k[299]*y[32]*y[30], -1* k[300]*y[34]*y[17], +1*k[321]*y[31]*y[4], -1* k[322]*y[17]*y[29], +1*k[363]*y[42]*y[3], -1* k[364]*y[17]*y[33], +1*k[383]*y[25]*y[6], -1* k[384]*y[4]*y[17], +1*k[385]*y[25]*y[7], -1* k[386]*y[2]*y[17], +1*k[389]*y[25]*y[12], -1* k[390]*y[17]*y[21], +1*k[455]*y[32]*y[21], -1* k[456]*y[40]*y[17], +1*k[471]*y[51]*y[21], -1* k[472]*y[42]*y[17], +1*k[473]*y[30]*y[18], -1* k[474]*y[17]*y[51], -1*k[501]*y[17]*y[52], +1* k[502]*y[18]*y[0], +1*k[517]*y[21]*y[25], -1* k[518]*y[17]*y[52], -1*k[627]*y[65]*y[17], +1* k[628]*y[18], -1*k[639]*y[66]*y[17], +1* k[640]*y[7]*y[17], +1*k[639]*y[66]*y[17], -1* k[640]*y[7]*y[17], -1*k[691]*y[17]*y[4]*M, +1* k[692]*y[18]*M, -1*k[695]*y[3]*y[17]*M, +1* k[696]*y[21]*M, -1*k[705]*y[17]*y[8]*M, +1* k[706]*y[24]*M, -1*k[709]*y[17]*y[1]*M, +1* k[710]*y[20]*M, +1*k[723]*y[42]*M, -1* k[724]*y[17]*y[29]*M, +1*k[769]*y[4]*y[6]*M, -1* k[770]*y[17]*M, -1*k[801]*y[17], +1* k[802]*y[6]*y[4], +1*k[807]*y[18], -1* k[808]*y[17]*y[4], +1*k[809]*y[18], -1* k[810]*y[17]*y[65], +1*k[829]*y[21], -1* k[830]*y[3]*y[17], +1*k[831]*y[20], -1* k[832]*y[1]*y[17], +1*k[841]*y[49], -1* k[842]*y[9]*y[17], +1*k[859]*y[42], -1* k[860]*y[29]*y[17]]
+ rate_str["CO2"] = [ +1*k[37]*y[0]*y[17], -1* k[38]*y[3]*y[18], -1*k[135]*y[18]*y[5], +1* k[136]*y[21]*y[17], -1*k[151]*y[18]*y[7], +1* k[152]*y[20]*y[17], +1*k[153]*y[22]*y[17], -1* k[154]*y[8]*y[18], -1*k[277]*y[28]*y[18], +1* k[278]*y[17]*y[32], -1*k[473]*y[30]*y[18], +1* k[474]*y[17]*y[51], +1*k[501]*y[17]*y[52], -1* k[502]*y[18]*y[0], -1*k[623]*y[65]*y[18], +1* k[624]*y[4]*y[18], +1*k[623]*y[65]*y[18], -1* k[624]*y[4]*y[18], +1*k[627]*y[65]*y[17], -1* k[628]*y[18], +1*k[691]*y[17]*y[4]*M, -1* k[692]*y[18]*M, -1*k[807]*y[18], +1* k[808]*y[17]*y[4], -1*k[809]*y[18], +1* k[810]*y[17]*y[65]]
+ rate_str["CH2OH"] = [ -1*k[121]*y[19]*y[3], +1* k[122]*y[0]*y[8], -1*k[129]*y[8]*y[19], +1* k[130]*y[20]*y[9], +1*k[155]*y[23]*y[3], -1* k[156]*y[19]*y[1], -1*k[159]*y[19]*y[12], +1* k[160]*y[20]*y[11], +1*k[163]*y[23]*y[12], -1* k[164]*y[19]*y[11], -1*k[177]*y[19]*y[7], +1* k[178]*y[0]*y[14], -1*k[179]*y[19]*y[7], +1* k[180]*y[20]*y[8], +1*k[185]*y[23]*y[7], -1* k[186]*y[19]*y[8], -1*k[213]*y[19]*y[22], +1* k[214]*y[20]*y[23], +1*k[425]*y[46]*y[0], -1* k[426]*y[19]*y[33], -1*k[559]*y[19]*y[12], +1* k[560]*y[0]*y[58], +1*k[601]*y[23]*y[0], -1* k[602]*y[19]*y[2], -1*k[693]*y[19]*M, +1* k[694]*y[3]*y[20]*M, +1*k[697]*y[2]*y[5]*M, -1* k[698]*y[19]*M, -1*k[701]*y[19]*y[3]*M, +1* k[702]*y[23]*M]
+ rate_str["H2CO"] = [ -1*k[123]*y[20]*y[3], +1* k[124]*y[21]*y[1], -1*k[127]*y[20]*y[8], +1* k[128]*y[9]*y[21], +1*k[129]*y[8]*y[19], -1* k[130]*y[20]*y[9], +1*k[137]*y[8]*y[4], -1* k[138]*y[20]*y[3], +1*k[139]*y[22]*y[4], -1* k[140]*y[20]*y[0], +1*k[141]*y[22]*y[0], -1* k[142]*y[20]*y[2], +1*k[149]*y[7]*y[0], -1* k[150]*y[20]*y[3], +1*k[151]*y[18]*y[7], -1* k[152]*y[20]*y[17], +1*k[159]*y[19]*y[12], -1* k[160]*y[20]*y[11], +1*k[161]*y[22]*y[12], -1* k[162]*y[20]*y[11], +1*k[179]*y[19]*y[7], -1* k[180]*y[20]*y[8], +1*k[181]*y[22]*y[7], -1* k[182]*y[20]*y[8], +1*k[189]*y[22]*y[8], -1* k[190]*y[20]*y[9], +1*k[199]*y[3]*y[22], -1* k[200]*y[20]*y[1], -1*k[209]*y[4]*y[20], +1* k[210]*y[21]*y[0], +1*k[211]*y[21]*y[21], -1* k[212]*y[20]*y[17], +1*k[213]*y[19]*y[22], -1* k[214]*y[20]*y[23], +1*k[215]*y[22]*y[22], -1* k[216]*y[20]*y[23], +1*k[387]*y[25]*y[8], -1* k[388]*y[0]*y[20], +1*k[391]*y[25]*y[13], -1* k[392]*y[20]*y[21], +1*k[439]*y[5]*y[2], -1* k[440]*y[20]*y[3], +1*k[453]*y[32]*y[22], -1* k[454]*y[40]*y[20], +1*k[595]*y[4]*y[14], -1* k[596]*y[20]*y[7], -1*k[605]*y[25]*y[20], +1* k[606]*y[52]*y[21], +1*k[609]*y[22]*y[25], -1* k[610]*y[20]*y[52], +1*k[693]*y[19]*M, -1* k[694]*y[3]*y[20]*M, +1*k[699]*y[22]*M, -1* k[700]*y[3]*y[20]*M, +1*k[707]*y[21]*y[3]*M, -1* k[708]*y[20]*M, +1*k[709]*y[17]*y[1]*M, -1* k[710]*y[20]*M, -1*k[831]*y[20], +1* k[832]*y[1]*y[17], -1*k[833]*y[20], +1* k[834]*y[3]*y[21], +1*k[837]*y[23], -1* k[838]*y[20]*y[1]]
+ rate_str["HCO"] = [ +1*k[123]*y[20]*y[3], -1* k[124]*y[21]*y[1], +1*k[125]*y[4]*y[14], -1* k[126]*y[21]*y[8], +1*k[127]*y[20]*y[8], -1* k[128]*y[9]*y[21], -1*k[131]*y[21]*y[3], +1* k[132]*y[17]*y[1], -1*k[133]*y[21]*y[0], +1* k[134]*y[17]*y[2], +1*k[135]*y[18]*y[5], -1* k[136]*y[21]*y[17], -1*k[157]*y[21]*y[12], +1* k[158]*y[11]*y[17], -1*k[175]*y[21]*y[7], +1* k[176]*y[17]*y[8], -1*k[187]*y[21]*y[8], +1* k[188]*y[17]*y[9], +1*k[193]*y[24]*y[3], -1* k[194]*y[21]*y[8], +1*k[209]*y[4]*y[20], -1* k[210]*y[21]*y[0], -1*k[211]*y[21]*y[21], +1* k[212]*y[20]*y[17], -1*k[211]*y[21]*y[21], +1* k[212]*y[20]*y[17], +1*k[389]*y[25]*y[12], -1* k[390]*y[17]*y[21], +1*k[391]*y[25]*y[13], -1* k[392]*y[20]*y[21], -1*k[455]*y[32]*y[21], +1* k[456]*y[40]*y[17], -1*k[471]*y[51]*y[21], +1* k[472]*y[42]*y[17], -1*k[517]*y[21]*y[25], +1* k[518]*y[17]*y[52], +1*k[545]*y[56]*y[4], -1* k[546]*y[31]*y[21], +1*k[557]*y[58]*y[0], -1* k[558]*y[21]*y[13], +1*k[597]*y[4]*y[13], -1* k[598]*y[21]*y[7], +1*k[605]*y[25]*y[20], -1* k[606]*y[52]*y[21], +1*k[695]*y[3]*y[17]*M, -1* k[696]*y[21]*M, -1*k[707]*y[21]*y[3]*M, +1* k[708]*y[20]*M, -1*k[829]*y[21], +1* k[830]*y[3]*y[17], +1*k[833]*y[20], -1* k[834]*y[3]*y[21], +1*k[843]*y[49], -1* k[844]*y[8]*y[21]]
+ rate_str["CH3O"] = [ -1*k[139]*y[22]*y[4], +1* k[140]*y[20]*y[0], -1*k[141]*y[22]*y[0], +1* k[142]*y[20]*y[2], +1*k[143]*y[23]*y[3], -1* k[144]*y[22]*y[1], -1*k[153]*y[22]*y[17], +1* k[154]*y[8]*y[18], -1*k[161]*y[22]*y[12], +1* k[162]*y[20]*y[11], +1*k[165]*y[23]*y[12], -1* k[166]*y[22]*y[11], -1*k[181]*y[22]*y[7], +1* k[182]*y[20]*y[8], +1*k[183]*y[23]*y[7], -1* k[184]*y[22]*y[8], -1*k[189]*y[22]*y[8], +1* k[190]*y[20]*y[9], +1*k[191]*y[23]*y[8], -1* k[192]*y[22]*y[9], -1*k[199]*y[3]*y[22], +1* k[200]*y[20]*y[1], -1*k[213]*y[19]*y[22], +1* k[214]*y[20]*y[23], -1*k[215]*y[22]*y[22], +1* k[216]*y[20]*y[23], -1*k[215]*y[22]*y[22], +1* k[216]*y[20]*y[23], -1*k[381]*y[4]*y[22], +1* k[382]*y[25]*y[8], +1*k[413]*y[43]*y[8], -1* k[414]*y[32]*y[22], -1*k[453]*y[32]*y[22], +1* k[454]*y[40]*y[20], +1*k[599]*y[23]*y[0], -1* k[600]*y[22]*y[2], -1*k[609]*y[22]*y[25], +1* k[610]*y[20]*y[52], -1*k[699]*y[22]*M, +1* k[700]*y[3]*y[20]*M, +1*k[839]*y[23], -1* k[840]*y[22]*y[3]]
+ rate_str["CH3OH"] = [ -1*k[143]*y[23]*y[3], +1* k[144]*y[22]*y[1], -1*k[145]*y[23]*y[3], +1* k[146]*y[8]*y[2], -1*k[155]*y[23]*y[3], +1* k[156]*y[19]*y[1], -1*k[163]*y[23]*y[12], +1* k[164]*y[19]*y[11], -1*k[165]*y[23]*y[12], +1* k[166]*y[22]*y[11], -1*k[183]*y[23]*y[7], +1* k[184]*y[22]*y[8], -1*k[185]*y[23]*y[7], +1* k[186]*y[19]*y[8], -1*k[191]*y[23]*y[8], +1* k[192]*y[22]*y[9], +1*k[213]*y[19]*y[22], -1* k[214]*y[20]*y[23], +1*k[215]*y[22]*y[22], -1* k[216]*y[20]*y[23], -1*k[599]*y[23]*y[0], +1* k[600]*y[22]*y[2], -1*k[601]*y[23]*y[0], +1* k[602]*y[19]*y[2], +1*k[701]*y[19]*y[3]*M, -1* k[702]*y[23]*M, +1*k[781]*y[0]*y[8]*M, -1* k[782]*y[23]*M, -1*k[835]*y[23], +1* k[836]*y[8]*y[0], -1*k[837]*y[23], +1* k[838]*y[20]*y[1], -1*k[839]*y[23], +1* k[840]*y[22]*y[3]]
+ rate_str["CH3CO"] = [ -1*k[193]*y[24]*y[3], +1* k[194]*y[21]*y[8], -1*k[195]*y[24]*y[8], +1* k[196]*y[17]*y[16], +1*k[443]*y[49]*y[3], -1* k[444]*y[1]*y[24], +1*k[703]*y[0]*y[11]*M, -1* k[704]*y[24]*M, +1*k[705]*y[17]*y[8]*M, -1* k[706]*y[24]*M]
+ rate_str["O2"] = [ +1*k[197]*y[4]*y[0], -1* k[198]*y[25]*y[3], +1*k[381]*y[4]*y[22], -1* k[382]*y[25]*y[8], -1*k[383]*y[25]*y[6], +1* k[384]*y[4]*y[17], -1*k[385]*y[25]*y[7], +1* k[386]*y[2]*y[17], -1*k[387]*y[25]*y[8], +1* k[388]*y[0]*y[20], -1*k[389]*y[25]*y[12], +1* k[390]*y[17]*y[21], -1*k[391]*y[25]*y[13], +1* k[392]*y[20]*y[21], -1*k[393]*y[28]*y[25], +1* k[394]*y[32]*y[4], -1*k[395]*y[29]*y[25], +1* k[396]*y[32]*y[0], -1*k[397]*y[29]*y[25], +1* k[398]*y[40]*y[4], -1*k[399]*y[25]*y[33], +1* k[400]*y[40]*y[0], +1*k[401]*y[43]*y[4], -1* k[402]*y[32]*y[25], +1*k[403]*y[44]*y[4], -1* k[404]*y[34]*y[25], +1*k[499]*y[52]*y[3], -1* k[500]*y[25]*y[1], +1*k[511]*y[4]*y[52], -1* k[512]*y[0]*y[25], +1*k[513]*y[8]*y[52], -1* k[514]*y[9]*y[25], +1*k[515]*y[15]*y[52], -1* k[516]*y[16]*y[25], -1*k[517]*y[21]*y[25], +1* k[518]*y[17]*y[52], +1*k[519]*y[0]*y[52], -1* k[520]*y[2]*y[25], +1*k[549]*y[52]*y[33], -1* k[550]*y[35]*y[25], -1*k[605]*y[25]*y[20], +1* k[606]*y[52]*y[21], -1*k[609]*y[22]*y[25], +1* k[610]*y[20]*y[52], +1*k[613]*y[52]*y[52], -1* k[614]*y[53]*y[25], +1*k[629]*y[65]*y[43], -1* k[630]*y[25]*y[32], -1*k[649]*y[67]*y[25], +1* k[650]*y[32]*y[4], +1*k[741]*y[52]*y[52]*M, -1* k[742]*y[53]*y[25]*M, -1*k[745]*y[3]*y[25]*M, +1* k[746]*y[52]*M, +1*k[775]*y[4]*y[4]*M, -1* k[776]*y[25]*M, -1*k[865]*y[25], +1* k[866]*y[4]*y[4], -1*k[867]*y[25], +1* k[868]*y[4]*y[65]]
+ rate_str["H2CCO"] = [ -1*k[201]*y[3]*y[26], +1* k[202]*y[17]*y[8], +1*k[203]*y[4]*y[13], -1* k[204]*y[26]*y[3]]
+ rate_str["HCCO"] = [ +1*k[205]*y[11]*y[4], -1* k[206]*y[27]*y[3], -1*k[207]*y[27]*y[3], +1* k[208]*y[17]*y[7]]
+ rate_str["N"] = [ -1*k[217]*y[28]*y[5], +1* k[218]*y[29]*y[6], -1*k[219]*y[28]*y[5], +1* k[220]*y[30]*y[3], -1*k[221]*y[28]*y[7], +1* k[222]*y[29]*y[5], -1*k[223]*y[28]*y[7], +1* k[224]*y[31]*y[3], -1*k[225]*y[28]*y[10], +1* k[226]*y[30]*y[6], -1*k[227]*y[28]*y[0], +1* k[228]*y[32]*y[3], +1*k[229]*y[3]*y[29], -1* k[230]*y[1]*y[28], +1*k[237]*y[8]*y[29], -1* k[238]*y[9]*y[28], +1*k[257]*y[4]*y[29], -1* k[258]*y[0]*y[28], +1*k[263]*y[0]*y[29], -1* k[264]*y[2]*y[28], +1*k[275]*y[30]*y[4], -1* k[276]*y[28]*y[17], -1*k[277]*y[28]*y[18], +1* k[278]*y[17]*y[32], -1*k[279]*y[28]*y[32], +1* k[280]*y[34]*y[4], -1*k[281]*y[28]*y[29], +1* k[282]*y[34]*y[3], -1*k[283]*y[28]*y[30], +1* k[284]*y[34]*y[6], -1*k[367]*y[8]*y[28], +1* k[368]*y[41]*y[3], -1*k[369]*y[8]*y[28], +1* k[370]*y[31]*y[1], -1*k[393]*y[28]*y[25], +1* k[394]*y[32]*y[4], +1*k[489]*y[29]*y[33], -1* k[490]*y[35]*y[28], -1*k[543]*y[28]*y[13], +1* k[544]*y[56]*y[3], -1*k[551]*y[28]*y[35], +1* k[552]*y[37]*y[1], -1*k[561]*y[28]*y[58], +1* k[562]*y[54]*y[1], -1*k[563]*y[28]*y[59], +1* k[564]*y[54]*y[3], -1*k[607]*y[28]*y[43], +1* k[608]*y[44]*y[4], -1*k[715]*y[1]*y[28]*M, +1* k[716]*y[33]*M, -1*k[717]*y[28]*y[28]*M, +1* k[718]*y[34]*M, -1*k[717]*y[28]*y[28]*M, +1* k[718]*y[34]*M, +1*k[771]*y[29]*M, -1* k[772]*y[3]*y[28]*M, -1*k[773]*y[4]*y[28]*M, +1* k[774]*y[32]*M, +1*k[779]*y[67]*M, -1* k[780]*y[28]*M, +1*k[845]*y[34], -1* k[846]*y[28]*y[28], +1*k[845]*y[34], -1* k[846]*y[28]*y[28], +1*k[853]*y[32], -1* k[854]*y[28]*y[4]]
+ rate_str["NH"] = [ +1*k[217]*y[28]*y[5], -1* k[218]*y[29]*y[6], +1*k[221]*y[28]*y[7], -1* k[222]*y[29]*y[5], -1*k[229]*y[3]*y[29], +1* k[230]*y[1]*y[28], +1*k[231]*y[3]*y[33], -1* k[232]*y[1]*y[29], -1*k[237]*y[8]*y[29], +1* k[238]*y[9]*y[28], +1*k[239]*y[8]*y[33], -1* k[240]*y[9]*y[29], +1*k[247]*y[33]*y[12], -1* k[248]*y[29]*y[11], -1*k[257]*y[4]*y[29], +1* k[258]*y[0]*y[28], -1*k[259]*y[4]*y[29], +1* k[260]*y[32]*y[3], -1*k[263]*y[0]*y[29], +1* k[264]*y[2]*y[28], -1*k[271]*y[0]*y[29], +1* k[272]*y[4]*y[33], +1*k[273]*y[33]*y[0], -1* k[274]*y[2]*y[29], -1*k[281]*y[28]*y[29], +1* k[282]*y[34]*y[3], +1*k[285]*y[34]*y[7], -1* k[286]*y[29]*y[31], +1*k[291]*y[32]*y[5], -1* k[292]*y[17]*y[29], -1*k[295]*y[32]*y[29], +1* k[296]*y[34]*y[0], -1*k[301]*y[29]*y[6], +1* k[302]*y[3]*y[30], -1*k[303]*y[29]*y[29], +1* k[304]*y[34]*y[1], -1*k[303]*y[29]*y[29], +1* k[304]*y[34]*y[1], +1*k[313]*y[33]*y[33], -1* k[314]*y[35]*y[29], +1*k[321]*y[31]*y[4], -1* k[322]*y[17]*y[29], -1*k[323]*y[29]*y[33], +1* k[324]*y[36]*y[3], -1*k[357]*y[29]*y[36], +1* k[358]*y[33]*y[37], +1*k[373]*y[37]*y[4], -1* k[374]*y[29]*y[32], -1*k[395]*y[29]*y[25], +1* k[396]*y[32]*y[0], -1*k[397]*y[29]*y[25], +1* k[398]*y[40]*y[4], -1*k[407]*y[29]*y[32], +1* k[408]*y[44]*y[3], -1*k[445]*y[29]*y[0], +1* k[446]*y[40]*y[3], +1*k[469]*y[51]*y[33], -1* k[470]*y[42]*y[29], -1*k[485]*y[38]*y[29], +1* k[486]*y[36]*y[33], -1*k[489]*y[29]*y[33], +1* k[490]*y[35]*y[28], +1*k[493]*y[1]*y[40], -1* k[494]*y[29]*y[2], +1*k[643]*y[67]*y[1], -1* k[644]*y[29]*y[3], +1*k[645]*y[67]*y[2], -1* k[646]*y[29]*y[0], +1*k[647]*y[67]*y[35], -1* k[648]*y[29]*y[33], +1*k[723]*y[42]*M, -1* k[724]*y[17]*y[29]*M, -1*k[771]*y[29]*M, +1* k[772]*y[3]*y[28]*M, +1*k[849]*y[35], -1* k[850]*y[29]*y[3]*y[3], +1*k[859]*y[42], -1* k[860]*y[29]*y[17]]
+ rate_str["CN"] = [ +1*k[219]*y[28]*y[5], -1* k[220]*y[30]*y[3], +1*k[225]*y[28]*y[10], -1* k[226]*y[30]*y[6], -1*k[233]*y[1]*y[30], +1* k[234]*y[3]*y[31], -1*k[235]*y[7]*y[30], +1* k[236]*y[5]*y[31], -1*k[241]*y[8]*y[30], +1* k[242]*y[7]*y[31], -1*k[243]*y[9]*y[30], +1* k[244]*y[31]*y[8], +1*k[245]*y[10]*y[34], -1* k[246]*y[30]*y[30], +1*k[245]*y[10]*y[34], -1* k[246]*y[30]*y[30], -1*k[265]*y[0]*y[30], +1* k[266]*y[4]*y[31], +1*k[267]*y[0]*y[31], -1* k[268]*y[2]*y[30], -1*k[275]*y[30]*y[4], +1* k[276]*y[28]*y[17], -1*k[283]*y[28]*y[30], +1* k[284]*y[34]*y[6], +1*k[287]*y[32]*y[6], -1* k[288]*y[4]*y[30], -1*k[299]*y[32]*y[30], +1* k[300]*y[34]*y[17], +1*k[301]*y[29]*y[6], -1* k[302]*y[3]*y[30], -1*k[317]*y[35]*y[30], +1* k[318]*y[31]*y[33], -1*k[319]*y[30]*y[16], +1* k[320]*y[15]*y[31], +1*k[467]*y[51]*y[31], -1* k[468]*y[42]*y[30], -1*k[473]*y[30]*y[18], +1* k[474]*y[17]*y[51], -1*k[477]*y[30]*y[0], +1* k[478]*y[51]*y[3], -1*k[523]*y[30]*y[11], +1* k[524]*y[54]*y[3], -1*k[535]*y[30]*y[14], +1* k[536]*y[57]*y[3], -1*k[611]*y[8]*y[30], +1* k[612]*y[56]*y[3], -1*k[713]*y[3]*y[30]*M, +1* k[714]*y[31]*M, +1*k[851]*y[31], -1* k[852]*y[3]*y[30]]
+ rate_str["HCN"] = [ +1*k[223]*y[28]*y[7], -1* k[224]*y[31]*y[3], +1*k[233]*y[1]*y[30], -1* k[234]*y[3]*y[31], +1*k[235]*y[7]*y[30], -1* k[236]*y[5]*y[31], +1*k[241]*y[8]*y[30], -1* k[242]*y[7]*y[31], +1*k[243]*y[9]*y[30], -1* k[244]*y[31]*y[8], +1*k[265]*y[0]*y[30], -1* k[266]*y[4]*y[31], -1*k[267]*y[0]*y[31], +1* k[268]*y[2]*y[30], -1*k[269]*y[0]*y[31], +1* k[270]*y[33]*y[17], +1*k[285]*y[34]*y[7], -1* k[286]*y[29]*y[31], +1*k[289]*y[32]*y[5], -1* k[290]*y[4]*y[31], +1*k[293]*y[32]*y[8], -1* k[294]*y[31]*y[2], +1*k[317]*y[35]*y[30], -1* k[318]*y[31]*y[33], +1*k[319]*y[30]*y[16], -1* k[320]*y[15]*y[31], -1*k[321]*y[31]*y[4], +1* k[322]*y[17]*y[29], +1*k[359]*y[41]*y[0], -1* k[360]*y[31]*y[2], -1*k[365]*y[31]*y[0], +1* k[366]*y[42]*y[3], +1*k[369]*y[8]*y[28], -1* k[370]*y[31]*y[1], -1*k[467]*y[51]*y[31], +1* k[468]*y[42]*y[30], -1*k[475]*y[31]*y[4], +1* k[476]*y[51]*y[3], +1*k[487]*y[33]*y[41], -1* k[488]*y[35]*y[31], +1*k[521]*y[41]*y[3], -1* k[522]*y[31]*y[1], -1*k[525]*y[31]*y[12], +1* k[526]*y[54]*y[3], +1*k[527]*y[3]*y[55], -1* k[528]*y[31]*y[8], -1*k[537]*y[31]*y[13], +1* k[538]*y[57]*y[3], +1*k[539]*y[57]*y[10], -1* k[540]*y[31]*y[45], +1*k[545]*y[56]*y[4], -1* k[546]*y[31]*y[21], +1*k[713]*y[3]*y[30]*M, -1* k[714]*y[31]*M, -1*k[721]*y[31]*y[3]*M, +1* k[722]*y[41]*M, -1*k[851]*y[31], +1* k[852]*y[3]*y[30]]
+ rate_str["NO"] = [ +1*k[227]*y[28]*y[0], -1* k[228]*y[32]*y[3], +1*k[259]*y[4]*y[29], -1* k[260]*y[32]*y[3], +1*k[277]*y[28]*y[18], -1* k[278]*y[17]*y[32], -1*k[279]*y[28]*y[32], +1* k[280]*y[34]*y[4], -1*k[287]*y[32]*y[6], +1* k[288]*y[4]*y[30], -1*k[289]*y[32]*y[5], +1* k[290]*y[4]*y[31], -1*k[291]*y[32]*y[5], +1* k[292]*y[17]*y[29], -1*k[293]*y[32]*y[8], +1* k[294]*y[31]*y[2], -1*k[295]*y[32]*y[29], +1* k[296]*y[34]*y[0], -1*k[297]*y[32]*y[33], +1* k[298]*y[34]*y[2], -1*k[299]*y[32]*y[30], +1* k[300]*y[34]*y[17], +1*k[309]*y[33]*y[4], -1* k[310]*y[1]*y[32], -1*k[351]*y[33]*y[32], +1* k[352]*y[37]*y[0], -1*k[353]*y[37]*y[32], +1* k[354]*y[34]*y[40], -1*k[361]*y[32]*y[7], +1* k[362]*y[42]*y[3], +1*k[373]*y[37]*y[4], -1* k[374]*y[29]*y[32], -1*k[377]*y[32]*y[8], +1* k[378]*y[41]*y[0], +1*k[393]*y[28]*y[25], -1* k[394]*y[32]*y[4], +1*k[395]*y[29]*y[25], -1* k[396]*y[32]*y[0], +1*k[401]*y[43]*y[4], -1* k[402]*y[32]*y[25], -1*k[407]*y[29]*y[32], +1* k[408]*y[44]*y[3], +1*k[413]*y[43]*y[8], -1* k[414]*y[32]*y[22], +1*k[447]*y[40]*y[0], -1* k[448]*y[32]*y[2], +1*k[449]*y[40]*y[4], -1* k[450]*y[32]*y[0], +1*k[451]*y[40]*y[3], -1* k[452]*y[32]*y[1], -1*k[453]*y[32]*y[22], +1* k[454]*y[40]*y[20], -1*k[455]*y[32]*y[21], +1* k[456]*y[40]*y[17], +1*k[463]*y[50]*y[3], -1* k[464]*y[32]*y[2], +1*k[465]*y[33]*y[40], -1* k[466]*y[32]*y[35], -1*k[603]*y[52]*y[32], +1* k[604]*y[0]*y[43], +1*k[629]*y[65]*y[43], -1* k[630]*y[25]*y[32], +1*k[649]*y[67]*y[25], -1* k[650]*y[32]*y[4], +1*k[651]*y[67]*y[44], -1* k[652]*y[34]*y[32], -1*k[727]*y[32]*y[4]*M, +1* k[728]*y[43]*M, -1*k[735]*y[3]*y[32]*M, +1* k[736]*y[40]*M, -1*k[737]*y[32]*y[0]*M, +1* k[738]*y[50]*M, +1*k[773]*y[4]*y[28]*M, -1* k[774]*y[32]*M, -1*k[853]*y[32], +1* k[854]*y[28]*y[4], +1*k[855]*y[43], -1* k[856]*y[32]*y[4], +1*k[877]*y[50], -1* k[878]*y[32]*y[0]]
+ rate_str["NH2"] = [ -1*k[231]*y[3]*y[33], +1* k[232]*y[1]*y[29], -1*k[239]*y[8]*y[33], +1* k[240]*y[9]*y[29], -1*k[247]*y[33]*y[12], +1* k[248]*y[29]*y[11], -1*k[249]*y[33]*y[13], +1* k[250]*y[35]*y[11], -1*k[251]*y[33]*y[14], +1* k[252]*y[35]*y[13], -1*k[253]*y[33]*y[15], +1* k[254]*y[35]*y[14], -1*k[255]*y[33]*y[16], +1* k[256]*y[35]*y[15], +1*k[261]*y[4]*y[35], -1* k[262]*y[0]*y[33], +1*k[269]*y[0]*y[31], -1* k[270]*y[33]*y[17], +1*k[271]*y[0]*y[29], -1* k[272]*y[4]*y[33], -1*k[273]*y[33]*y[0], +1* k[274]*y[2]*y[29], -1*k[297]*y[32]*y[33], +1* k[298]*y[34]*y[2], -1*k[305]*y[33]*y[1], +1* k[306]*y[35]*y[3], -1*k[307]*y[33]*y[9], +1* k[308]*y[8]*y[35], -1*k[309]*y[33]*y[4], +1* k[310]*y[1]*y[32], +1*k[311]*y[35]*y[0], -1* k[312]*y[33]*y[2], -1*k[313]*y[33]*y[33], +1* k[314]*y[35]*y[29], -1*k[313]*y[33]*y[33], +1* k[314]*y[35]*y[29], +1*k[315]*y[35]*y[5], -1* k[316]*y[33]*y[7], +1*k[317]*y[35]*y[30], -1* k[318]*y[31]*y[33], -1*k[323]*y[29]*y[33], +1* k[324]*y[36]*y[3], -1*k[325]*y[33]*y[36], +1* k[326]*y[35]*y[37], -1*k[327]*y[33]*y[38], +1* k[328]*y[35]*y[36], -1*k[349]*y[37]*y[33], +1* k[350]*y[34]*y[35], -1*k[351]*y[33]*y[32], +1* k[352]*y[37]*y[0], +1*k[357]*y[29]*y[36], -1* k[358]*y[33]*y[37], +1*k[363]*y[42]*y[3], -1* k[364]*y[17]*y[33], -1*k[371]*y[8]*y[33], +1* k[372]*y[35]*y[7], -1*k[375]*y[33]*y[33], +1* k[376]*y[36]*y[1], -1*k[375]*y[33]*y[33], +1* k[376]*y[36]*y[1], -1*k[399]*y[25]*y[33], +1* k[400]*y[40]*y[0], -1*k[409]*y[33]*y[43], +1* k[410]*y[44]*y[2], -1*k[415]*y[39]*y[33], +1* k[416]*y[38]*y[35], -1*k[421]*y[48]*y[33], +1* k[422]*y[46]*y[35], +1*k[423]*y[46]*y[8], -1* k[424]*y[33]*y[15], +1*k[425]*y[46]*y[0], -1* k[426]*y[19]*y[33], -1*k[431]*y[8]*y[33], +1* k[432]*y[47]*y[1], -1*k[433]*y[8]*y[33], +1* k[434]*y[46]*y[3], +1*k[437]*y[38]*y[3], -1* k[438]*y[33]*y[33], +1*k[437]*y[38]*y[3], -1* k[438]*y[33]*y[33], -1*k[465]*y[33]*y[40], +1* k[466]*y[32]*y[35], -1*k[469]*y[51]*y[33], +1* k[470]*y[42]*y[29], +1*k[485]*y[38]*y[29], -1* k[486]*y[36]*y[33], -1*k[487]*y[33]*y[41], +1* k[488]*y[35]*y[31], -1*k[489]*y[29]*y[33], +1* k[490]*y[35]*y[28], -1*k[491]*y[33]*y[4], +1* k[492]*y[40]*y[3], -1*k[549]*y[52]*y[33], +1* k[550]*y[35]*y[25], -1*k[575]*y[35]*y[33], +1* k[576]*y[38]*y[1], +1*k[625]*y[65]*y[35], -1* k[626]*y[0]*y[33], +1*k[647]*y[67]*y[35], -1* k[648]*y[29]*y[33], -1*k[711]*y[3]*y[33]*M, +1* k[712]*y[35]*M, +1*k[715]*y[1]*y[28]*M, -1* k[716]*y[33]*M, -1*k[725]*y[33]*y[33]*M, +1* k[726]*y[39]*M, -1*k[725]*y[33]*y[33]*M, +1* k[726]*y[39]*M, -1*k[733]*y[33]*y[8]*M, +1* k[734]*y[48]*M, +1*k[847]*y[35], -1* k[848]*y[33]*y[3]]
+ rate_str["N2"] = [ -1*k[245]*y[10]*y[34], +1* k[246]*y[30]*y[30], +1*k[279]*y[28]*y[32], -1* k[280]*y[34]*y[4], +1*k[281]*y[28]*y[29], -1* k[282]*y[34]*y[3], +1*k[283]*y[28]*y[30], -1* k[284]*y[34]*y[6], -1*k[285]*y[34]*y[7], +1* k[286]*y[29]*y[31], +1*k[295]*y[32]*y[29], -1* k[296]*y[34]*y[0], +1*k[297]*y[32]*y[33], -1* k[298]*y[34]*y[2], +1*k[299]*y[32]*y[30], -1* k[300]*y[34]*y[17], +1*k[303]*y[29]*y[29], -1* k[304]*y[34]*y[1], +1*k[343]*y[37]*y[3], -1* k[344]*y[34]*y[1], +1*k[345]*y[37]*y[0], -1* k[346]*y[34]*y[2], +1*k[347]*y[37]*y[4], -1* k[348]*y[34]*y[0], +1*k[349]*y[37]*y[33], -1* k[350]*y[34]*y[35], +1*k[353]*y[37]*y[32], -1* k[354]*y[34]*y[40], +1*k[403]*y[44]*y[4], -1* k[404]*y[34]*y[25], +1*k[405]*y[44]*y[3], -1* k[406]*y[34]*y[0], -1*k[631]*y[65]*y[34], +1* k[632]*y[4]*y[34], +1*k[631]*y[65]*y[34], -1* k[632]*y[4]*y[34], +1*k[651]*y[67]*y[44], -1* k[652]*y[34]*y[32], +1*k[717]*y[28]*y[28]*M, -1* k[718]*y[34]*M, +1*k[729]*y[44]*M, -1* k[730]*y[34]*y[4]*M, +1*k[731]*y[37]*M, -1* k[732]*y[34]*y[3]*M, -1*k[845]*y[34], +1* k[846]*y[28]*y[28]]
+ rate_str["NH3"] = [ +1*k[249]*y[33]*y[13], -1* k[250]*y[35]*y[11], +1*k[251]*y[33]*y[14], -1* k[252]*y[35]*y[13], +1*k[253]*y[33]*y[15], -1* k[254]*y[35]*y[14], +1*k[255]*y[33]*y[16], -1* k[256]*y[35]*y[15], -1*k[261]*y[4]*y[35], +1* k[262]*y[0]*y[33], +1*k[305]*y[33]*y[1], -1* k[306]*y[35]*y[3], +1*k[307]*y[33]*y[9], -1* k[308]*y[8]*y[35], -1*k[311]*y[35]*y[0], +1* k[312]*y[33]*y[2], +1*k[313]*y[33]*y[33], -1* k[314]*y[35]*y[29], -1*k[315]*y[35]*y[5], +1* k[316]*y[33]*y[7], -1*k[317]*y[35]*y[30], +1* k[318]*y[31]*y[33], +1*k[325]*y[33]*y[36], -1* k[326]*y[35]*y[37], +1*k[327]*y[33]*y[38], -1* k[328]*y[35]*y[36], +1*k[349]*y[37]*y[33], -1* k[350]*y[34]*y[35], +1*k[371]*y[8]*y[33], -1* k[372]*y[35]*y[7], +1*k[415]*y[39]*y[33], -1* k[416]*y[38]*y[35], +1*k[421]*y[48]*y[33], -1* k[422]*y[46]*y[35], +1*k[465]*y[33]*y[40], -1* k[466]*y[32]*y[35], +1*k[487]*y[33]*y[41], -1* k[488]*y[35]*y[31], +1*k[489]*y[29]*y[33], -1* k[490]*y[35]*y[28], +1*k[549]*y[52]*y[33], -1* k[550]*y[35]*y[25], -1*k[551]*y[28]*y[35], +1* k[552]*y[37]*y[1], -1*k[575]*y[35]*y[33], +1* k[576]*y[38]*y[1], -1*k[625]*y[65]*y[35], +1* k[626]*y[0]*y[33], -1*k[647]*y[67]*y[35], +1* k[648]*y[29]*y[33], +1*k[711]*y[3]*y[33]*M, -1* k[712]*y[35]*M, -1*k[847]*y[35], +1* k[848]*y[33]*y[3], -1*k[849]*y[35], +1* k[850]*y[29]*y[3]*y[3]]
+ rate_str["N2H2"] = [ +1*k[323]*y[29]*y[33], -1* k[324]*y[36]*y[3], -1*k[325]*y[33]*y[36], +1* k[326]*y[35]*y[37], +1*k[327]*y[33]*y[38], -1* k[328]*y[35]*y[36], -1*k[329]*y[36]*y[3], +1* k[330]*y[37]*y[1], -1*k[331]*y[36]*y[8], +1* k[332]*y[37]*y[9], -1*k[333]*y[36]*y[0], +1* k[334]*y[37]*y[2], +1*k[335]*y[38]*y[3], -1* k[336]*y[36]*y[1], +1*k[337]*y[38]*y[4], -1* k[338]*y[36]*y[0], +1*k[339]*y[38]*y[0], -1* k[340]*y[36]*y[2], +1*k[341]*y[38]*y[38], -1* k[342]*y[39]*y[36], -1*k[355]*y[36]*y[4], +1* k[356]*y[37]*y[0], -1*k[357]*y[29]*y[36], +1* k[358]*y[33]*y[37], +1*k[375]*y[33]*y[33], -1* k[376]*y[36]*y[1], +1*k[485]*y[38]*y[29], -1* k[486]*y[36]*y[33], +1*k[577]*y[38]*y[37], -1* k[578]*y[36]*y[36], +1*k[577]*y[38]*y[37], -1* k[578]*y[36]*y[36], +1*k[579]*y[38]*y[8], -1* k[580]*y[36]*y[9], +1*k[719]*y[38]*M, -1* k[720]*y[36]*y[3]*M, -1*k[753]*y[36]*M, +1* k[754]*y[37]*y[3]*M]
+ rate_str["N2H"] = [ +1*k[325]*y[33]*y[36], -1* k[326]*y[35]*y[37], +1*k[329]*y[36]*y[3], -1* k[330]*y[37]*y[1], +1*k[331]*y[36]*y[8], -1* k[332]*y[37]*y[9], +1*k[333]*y[36]*y[0], -1* k[334]*y[37]*y[2], -1*k[343]*y[37]*y[3], +1* k[344]*y[34]*y[1], -1*k[345]*y[37]*y[0], +1* k[346]*y[34]*y[2], -1*k[347]*y[37]*y[4], +1* k[348]*y[34]*y[0], -1*k[349]*y[37]*y[33], +1* k[350]*y[34]*y[35], +1*k[351]*y[33]*y[32], -1* k[352]*y[37]*y[0], -1*k[353]*y[37]*y[32], +1* k[354]*y[34]*y[40], +1*k[355]*y[36]*y[4], -1* k[356]*y[37]*y[0], +1*k[357]*y[29]*y[36], -1* k[358]*y[33]*y[37], -1*k[373]*y[37]*y[4], +1* k[374]*y[29]*y[32], +1*k[551]*y[28]*y[35], -1* k[552]*y[37]*y[1], -1*k[577]*y[38]*y[37], +1* k[578]*y[36]*y[36], -1*k[731]*y[37]*M, +1* k[732]*y[34]*y[3]*M, +1*k[753]*y[36]*M, -1* k[754]*y[37]*y[3]*M]
+ rate_str["N2H3"] = [ -1*k[327]*y[33]*y[38], +1* k[328]*y[35]*y[36], -1*k[335]*y[38]*y[3], +1* k[336]*y[36]*y[1], -1*k[337]*y[38]*y[4], +1* k[338]*y[36]*y[0], -1*k[339]*y[38]*y[0], +1* k[340]*y[36]*y[2], -1*k[341]*y[38]*y[38], +1* k[342]*y[39]*y[36], -1*k[341]*y[38]*y[38], +1* k[342]*y[39]*y[36], +1*k[379]*y[39]*y[3], -1* k[380]*y[38]*y[1], +1*k[415]*y[39]*y[33], -1* k[416]*y[38]*y[35], -1*k[437]*y[38]*y[3], +1* k[438]*y[33]*y[33], -1*k[485]*y[38]*y[29], +1* k[486]*y[36]*y[33], +1*k[575]*y[35]*y[33], -1* k[576]*y[38]*y[1], -1*k[577]*y[38]*y[37], +1* k[578]*y[36]*y[36], -1*k[579]*y[38]*y[8], +1* k[580]*y[36]*y[9], -1*k[719]*y[38]*M, +1* k[720]*y[36]*y[3]*M, +1*k[857]*y[39], -1* k[858]*y[38]*y[3]]
+ rate_str["N2H4"] = [ +1*k[341]*y[38]*y[38], -1* k[342]*y[39]*y[36], -1*k[379]*y[39]*y[3], +1* k[380]*y[38]*y[1], -1*k[415]*y[39]*y[33], +1* k[416]*y[38]*y[35], +1*k[725]*y[33]*y[33]*M, -1* k[726]*y[39]*M, -1*k[857]*y[39], +1* k[858]*y[38]*y[3]]
+ rate_str["HNO"] = [ +1*k[353]*y[37]*y[32], -1* k[354]*y[34]*y[40], +1*k[397]*y[29]*y[25], -1* k[398]*y[40]*y[4], +1*k[399]*y[25]*y[33], -1* k[400]*y[40]*y[0], -1*k[411]*y[40]*y[40], +1* k[412]*y[44]*y[2], -1*k[411]*y[40]*y[40], +1* k[412]*y[44]*y[2], +1*k[445]*y[29]*y[0], -1* k[446]*y[40]*y[3], -1*k[447]*y[40]*y[0], +1* k[448]*y[32]*y[2], -1*k[449]*y[40]*y[4], +1* k[450]*y[32]*y[0], -1*k[451]*y[40]*y[3], +1* k[452]*y[32]*y[1], +1*k[453]*y[32]*y[22], -1* k[454]*y[40]*y[20], +1*k[455]*y[32]*y[21], -1* k[456]*y[40]*y[17], +1*k[459]*y[50]*y[3], -1* k[460]*y[40]*y[0], -1*k[465]*y[33]*y[40], +1* k[466]*y[32]*y[35], +1*k[491]*y[33]*y[4], -1* k[492]*y[40]*y[3], -1*k[493]*y[1]*y[40], +1* k[494]*y[29]*y[2], +1*k[735]*y[3]*y[32]*M, -1* k[736]*y[40]*M]
+ rate_str["H2CN"] = [ -1*k[359]*y[41]*y[0], +1* k[360]*y[31]*y[2], +1*k[367]*y[8]*y[28], -1* k[368]*y[41]*y[3], +1*k[377]*y[32]*y[8], -1* k[378]*y[41]*y[0], +1*k[429]*y[47]*y[3], -1* k[430]*y[41]*y[1], -1*k[487]*y[33]*y[41], +1* k[488]*y[35]*y[31], -1*k[521]*y[41]*y[3], +1* k[522]*y[31]*y[1], +1*k[721]*y[31]*y[3]*M, -1* k[722]*y[41]*M]
+ rate_str["HNCO"] = [ +1*k[361]*y[32]*y[7], -1* k[362]*y[42]*y[3], -1*k[363]*y[42]*y[3], +1* k[364]*y[17]*y[33], +1*k[365]*y[31]*y[0], -1* k[366]*y[42]*y[3], +1*k[467]*y[51]*y[31], -1* k[468]*y[42]*y[30], +1*k[469]*y[51]*y[33], -1* k[470]*y[42]*y[29], +1*k[471]*y[51]*y[21], -1* k[472]*y[42]*y[17], -1*k[479]*y[42]*y[3], +1* k[480]*y[51]*y[1], -1*k[481]*y[42]*y[4], +1* k[482]*y[51]*y[0], -1*k[483]*y[42]*y[0], +1* k[484]*y[51]*y[2], -1*k[723]*y[42]*M, +1* k[724]*y[17]*y[29]*M, -1*k[777]*y[42]*M, +1* k[778]*y[3]*y[51], -1*k[859]*y[42], +1* k[860]*y[29]*y[17], -1*k[861]*y[42], +1* k[862]*y[3]*y[51]]
+ rate_str["NO2"] = [ -1*k[401]*y[43]*y[4], +1* k[402]*y[32]*y[25], -1*k[409]*y[33]*y[43], +1* k[410]*y[44]*y[2], -1*k[413]*y[43]*y[8], +1* k[414]*y[32]*y[22], +1*k[457]*y[50]*y[0], -1* k[458]*y[43]*y[2], +1*k[461]*y[50]*y[3], -1* k[462]*y[43]*y[1], +1*k[603]*y[52]*y[32], -1* k[604]*y[0]*y[43], -1*k[607]*y[28]*y[43], +1* k[608]*y[44]*y[4], -1*k[629]*y[65]*y[43], +1* k[630]*y[25]*y[32], +1*k[727]*y[32]*y[4]*M, -1* k[728]*y[43]*M, -1*k[855]*y[43], +1* k[856]*y[32]*y[4]]
+ rate_str["N2O"] = [ -1*k[403]*y[44]*y[4], +1* k[404]*y[34]*y[25], -1*k[405]*y[44]*y[3], +1* k[406]*y[34]*y[0], +1*k[407]*y[29]*y[32], -1* k[408]*y[44]*y[3], +1*k[409]*y[33]*y[43], -1* k[410]*y[44]*y[2], +1*k[411]*y[40]*y[40], -1* k[412]*y[44]*y[2], +1*k[607]*y[28]*y[43], -1* k[608]*y[44]*y[4], -1*k[651]*y[67]*y[44], +1* k[652]*y[34]*y[32], -1*k[729]*y[44]*M, +1* k[730]*y[34]*y[4]*M]
+ rate_str["C4H2"] = [ +1*k[417]*y[12]*y[11], -1* k[418]*y[45]*y[3], +1*k[539]*y[57]*y[10], -1* k[540]*y[31]*y[45], -1*k[761]*y[45]*y[3]*M, +1* k[762]*y[61]*M, -1*k[869]*y[45], +1* k[870]*y[11]*y[10]]
+ rate_str["CH2NH2"] = [ -1*k[419]*y[46]*y[3], +1* k[420]*y[47]*y[1], +1*k[421]*y[48]*y[33], -1* k[422]*y[46]*y[35], -1*k[423]*y[46]*y[8], +1* k[424]*y[33]*y[15], -1*k[425]*y[46]*y[0], +1* k[426]*y[19]*y[33], +1*k[427]*y[48]*y[3], -1* k[428]*y[46]*y[1], +1*k[433]*y[8]*y[33], -1* k[434]*y[46]*y[3], +1*k[435]*y[48]*y[8], -1* k[436]*y[46]*y[9]]
+ rate_str["CH2NH"] = [ +1*k[419]*y[46]*y[3], -1* k[420]*y[47]*y[1], -1*k[429]*y[47]*y[3], +1* k[430]*y[41]*y[1], +1*k[431]*y[8]*y[33], -1* k[432]*y[47]*y[1]]
+ rate_str["CH3NH2"] = [ -1*k[421]*y[48]*y[33], +1* k[422]*y[46]*y[35], -1*k[427]*y[48]*y[3], +1* k[428]*y[46]*y[1], -1*k[435]*y[48]*y[8], +1* k[436]*y[46]*y[9], +1*k[733]*y[33]*y[8]*M, -1* k[734]*y[48]*M]
+ rate_str["CH3CHO"] = [ +1*k[441]*y[4]*y[15], -1* k[442]*y[49]*y[3], -1*k[443]*y[49]*y[3], +1* k[444]*y[1]*y[24], -1*k[841]*y[49], +1* k[842]*y[9]*y[17], -1*k[843]*y[49], +1* k[844]*y[8]*y[21]]
+ rate_str["HNO2"] = [ -1*k[457]*y[50]*y[0], +1* k[458]*y[43]*y[2], -1*k[459]*y[50]*y[3], +1* k[460]*y[40]*y[0], -1*k[461]*y[50]*y[3], +1* k[462]*y[43]*y[1], -1*k[463]*y[50]*y[3], +1* k[464]*y[32]*y[2], +1*k[737]*y[32]*y[0]*M, -1* k[738]*y[50]*M, -1*k[877]*y[50], +1* k[878]*y[32]*y[0]]
+ rate_str["NCO"] = [ -1*k[467]*y[51]*y[31], +1* k[468]*y[42]*y[30], -1*k[469]*y[51]*y[33], +1* k[470]*y[42]*y[29], -1*k[471]*y[51]*y[21], +1* k[472]*y[42]*y[17], +1*k[473]*y[30]*y[18], -1* k[474]*y[17]*y[51], +1*k[475]*y[31]*y[4], -1* k[476]*y[51]*y[3], +1*k[477]*y[30]*y[0], -1* k[478]*y[51]*y[3], +1*k[479]*y[42]*y[3], -1* k[480]*y[51]*y[1], +1*k[481]*y[42]*y[4], -1* k[482]*y[51]*y[0], +1*k[483]*y[42]*y[0], -1* k[484]*y[51]*y[2], +1*k[777]*y[42]*M, -1* k[778]*y[3]*y[51], +1*k[861]*y[42], -1* k[862]*y[3]*y[51]]
+ rate_str["HO2"] = [ -1*k[495]*y[52]*y[3], +1* k[496]*y[0]*y[0], -1*k[497]*y[52]*y[3], +1* k[498]*y[4]*y[2], -1*k[499]*y[52]*y[3], +1* k[500]*y[25]*y[1], -1*k[501]*y[17]*y[52], +1* k[502]*y[18]*y[0], +1*k[503]*y[4]*y[53], -1* k[504]*y[0]*y[52], +1*k[505]*y[0]*y[53], -1* k[506]*y[2]*y[52], +1*k[507]*y[53]*y[3], -1* k[508]*y[1]*y[52], -1*k[511]*y[4]*y[52], +1* k[512]*y[0]*y[25], -1*k[513]*y[8]*y[52], +1* k[514]*y[9]*y[25], -1*k[515]*y[15]*y[52], +1* k[516]*y[16]*y[25], +1*k[517]*y[21]*y[25], -1* k[518]*y[17]*y[52], -1*k[519]*y[0]*y[52], +1* k[520]*y[2]*y[25], -1*k[547]*y[52]*y[9], +1* k[548]*y[8]*y[53], -1*k[549]*y[52]*y[33], +1* k[550]*y[35]*y[25], -1*k[603]*y[52]*y[32], +1* k[604]*y[0]*y[43], +1*k[605]*y[25]*y[20], -1* k[606]*y[52]*y[21], +1*k[609]*y[22]*y[25], -1* k[610]*y[20]*y[52], -1*k[613]*y[52]*y[52], +1* k[614]*y[53]*y[25], -1*k[613]*y[52]*y[52], +1* k[614]*y[53]*y[25], -1*k[741]*y[52]*y[52]*M, +1* k[742]*y[53]*y[25]*M, -1*k[741]*y[52]*y[52]*M, +1* k[742]*y[53]*y[25]*M, +1*k[745]*y[3]*y[25]*M, -1* k[746]*y[52]*M, -1*k[863]*y[52], +1* k[864]*y[4]*y[0]]
+ rate_str["H2O2"] = [ -1*k[503]*y[4]*y[53], +1* k[504]*y[0]*y[52], -1*k[505]*y[0]*y[53], +1* k[506]*y[2]*y[52], -1*k[507]*y[53]*y[3], +1* k[508]*y[1]*y[52], -1*k[509]*y[53]*y[3], +1* k[510]*y[0]*y[2], +1*k[547]*y[52]*y[9], -1* k[548]*y[8]*y[53], +1*k[613]*y[52]*y[52], -1* k[614]*y[53]*y[25], +1*k[741]*y[52]*y[52]*M, -1* k[742]*y[53]*y[25]*M, +1*k[743]*y[0]*y[0]*M, -1* k[744]*y[53]*M]
+ rate_str["HC3N"] = [ +1*k[523]*y[30]*y[11], -1* k[524]*y[54]*y[3], +1*k[525]*y[31]*y[12], -1* k[526]*y[54]*y[3], +1*k[541]*y[57]*y[10], -1* k[542]*y[54]*y[11], +1*k[561]*y[28]*y[58], -1* k[562]*y[54]*y[1], +1*k[563]*y[28]*y[59], -1* k[564]*y[54]*y[3]]
+ rate_str["CH3CN"] = [ -1*k[527]*y[3]*y[55], +1* k[528]*y[31]*y[8], -1*k[529]*y[3]*y[55], +1* k[530]*y[56]*y[1], -1*k[531]*y[55]*y[0], +1* k[532]*y[56]*y[2], -1*k[533]*y[55]*y[4], +1* k[534]*y[56]*y[0], +1*k[747]*y[56]*y[3]*M, -1* k[748]*y[55]*M]
+ rate_str["CH2CN"] = [ +1*k[529]*y[3]*y[55], -1* k[530]*y[56]*y[1], +1*k[531]*y[55]*y[0], -1* k[532]*y[56]*y[2], +1*k[533]*y[55]*y[4], -1* k[534]*y[56]*y[0], +1*k[543]*y[28]*y[13], -1* k[544]*y[56]*y[3], -1*k[545]*y[56]*y[4], +1* k[546]*y[31]*y[21], +1*k[611]*y[8]*y[30], -1* k[612]*y[56]*y[3], -1*k[747]*y[56]*y[3]*M, +1* k[748]*y[55]*M]
+ rate_str["C2H3CN"] = [ +1*k[535]*y[30]*y[14], -1* k[536]*y[57]*y[3], +1*k[537]*y[31]*y[13], -1* k[538]*y[57]*y[3], -1*k[539]*y[57]*y[10], +1* k[540]*y[31]*y[45], -1*k[541]*y[57]*y[10], +1* k[542]*y[54]*y[11]]
+ rate_str["C3H3"] = [ +1*k[553]*y[12]*y[15], -1* k[554]*y[58]*y[8], +1*k[555]*y[13]*y[13], -1* k[556]*y[8]*y[58], -1*k[557]*y[58]*y[0], +1* k[558]*y[21]*y[13], +1*k[559]*y[19]*y[12], -1* k[560]*y[0]*y[58], -1*k[561]*y[28]*y[58], +1* k[562]*y[54]*y[1], +1*k[567]*y[7]*y[11], -1* k[568]*y[58]*y[3], +1*k[573]*y[8]*y[12], -1* k[574]*y[58]*y[3], -1*k[583]*y[5]*y[58], +1* k[584]*y[61]*y[3], +1*k[641]*y[66]*y[11], -1* k[642]*y[58]*y[3], +1*k[749]*y[59]*y[3]*M, -1* k[750]*y[58]*M, -1*k[751]*y[58]*y[58]*M, +1* k[752]*y[63]*M, -1*k[751]*y[58]*y[58]*M, +1* k[752]*y[63]*M, -1*k[755]*y[58]*y[3]*M, +1* k[756]*y[60]*M, +1*k[875]*y[63], -1* k[876]*y[58]*y[58], +1*k[875]*y[63], -1* k[876]*y[58]*y[58]]
+ rate_str["C3H2"] = [ -1*k[563]*y[28]*y[59], +1* k[564]*y[54]*y[3], +1*k[565]*y[7]*y[11], -1* k[566]*y[59]*y[1], +1*k[569]*y[7]*y[12], -1* k[570]*y[59]*y[3], +1*k[571]*y[5]*y[11], -1* k[572]*y[59]*y[3], +1*k[593]*y[6]*y[11], -1* k[594]*y[59], -1*k[749]*y[59]*y[3]*M, +1* k[750]*y[58]*M]
+ rate_str["C3H4"] = [ +1*k[581]*y[8]*y[11], -1* k[582]*y[60]*y[3], +1*k[755]*y[58]*y[3]*M, -1* k[756]*y[60]*M, +1*k[757]*y[7]*y[11]*M, -1* k[758]*y[60]*M]
+ rate_str["C4H3"] = [ +1*k[583]*y[5]*y[58], -1* k[584]*y[61]*y[3], +1*k[761]*y[45]*y[3]*M, -1* k[762]*y[61]*M, -1*k[763]*y[11]*y[61]*M, +1* k[764]*y[64]*M]
+ rate_str["C4H5"] = [ +1*k[585]*y[12]*y[15], -1* k[586]*y[62]*y[3], -1*k[587]*y[11]*y[62], +1* k[588]*y[63]*y[3], +1*k[765]*y[11]*y[13]*M, -1* k[766]*y[62]*M]
+ rate_str["C6H6"] = [ +1*k[587]*y[11]*y[62], -1* k[588]*y[63]*y[3], +1*k[589]*y[64]*y[1], -1* k[590]*y[63]*y[3], +1*k[591]*y[64]*y[9], -1* k[592]*y[63]*y[8], +1*k[751]*y[58]*y[58]*M, -1* k[752]*y[63]*M, +1*k[759]*y[64]*y[3]*M, -1* k[760]*y[63]*M, -1*k[873]*y[63], +1* k[874]*y[64]*y[3], -1*k[875]*y[63], +1* k[876]*y[58]*y[58]]
+ rate_str["C6H5"] = [ -1*k[589]*y[64]*y[1], +1* k[590]*y[63]*y[3], -1*k[591]*y[64]*y[9], +1* k[592]*y[63]*y[8], -1*k[759]*y[64]*y[3]*M, +1* k[760]*y[63]*M, +1*k[763]*y[11]*y[61]*M, -1* k[764]*y[64]*M, +1*k[873]*y[63], -1* k[874]*y[64]*y[3]]
+ rate_str["O_1"] = [ -1*k[615]*y[65]*y[16], +1* k[616]*y[15]*y[0], -1*k[617]*y[65]*y[1], +1* k[618]*y[0]*y[3], -1*k[619]*y[65]*y[9], +1* k[620]*y[0]*y[8], -1*k[621]*y[65]*y[2], +1* k[622]*y[0]*y[0], -1*k[623]*y[65]*y[18], +1* k[624]*y[4]*y[18], -1*k[625]*y[65]*y[35], +1* k[626]*y[0]*y[33], -1*k[627]*y[65]*y[17], +1* k[628]*y[18], -1*k[629]*y[65]*y[43], +1* k[630]*y[25]*y[32], -1*k[631]*y[65]*y[34], +1* k[632]*y[4]*y[34], +1*k[785]*y[2], -1* k[786]*y[1]*y[65], +1*k[809]*y[18], -1* k[810]*y[17]*y[65], +1*k[867]*y[25], -1* k[868]*y[4]*y[65]]
+ rate_str["CH2_1"] = [ -1*k[633]*y[66]*y[1], +1* k[634]*y[8]*y[3], -1*k[635]*y[66]*y[1], +1* k[636]*y[7]*y[1], -1*k[637]*y[66]*y[2], +1* k[638]*y[7]*y[2], -1*k[639]*y[66]*y[17], +1* k[640]*y[7]*y[17], -1*k[641]*y[66]*y[11], +1* k[642]*y[58]*y[3], +1*k[653]*y[0]*y[8], -1* k[654]*y[66]*y[2], +1*k[791]*y[9], -1* k[792]*y[66]*y[1], +1*k[793]*y[9], -1* k[794]*y[66]*y[3]*y[3], +1*k[799]*y[8], -1* k[800]*y[66]*y[3], +1*k[823]*y[16], -1* k[824]*y[9]*y[66]]
+ rate_str["N_2D"] = [ -1*k[643]*y[67]*y[1], +1* k[644]*y[29]*y[3], -1*k[645]*y[67]*y[2], +1* k[646]*y[29]*y[0], -1*k[647]*y[67]*y[35], +1* k[648]*y[29]*y[33], -1*k[649]*y[67]*y[25], +1* k[650]*y[32]*y[4], -1*k[651]*y[67]*y[44], +1* k[652]*y[34]*y[32], -1*k[779]*y[67]*M, +1* k[780]*y[28]*M]
+ rate_str["He"] = [ -1*k[655]*y[68], +1* k[656]*y[68], +1*k[655]*y[68], -1* k[656]*y[68]]
return np.array(rate_str[sp])
corr = kb/1.e6 #P0=1.e6
@@ -2809,7 +3019,7 @@ def cp_R_sp(i,T):
# Gibbs free energy:
def Gibbs(i,T):
G={}
- G[1] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('H2O',T)+1*gibbs_sp('OH',T)+1*gibbs_sp('H2',T) ) )
+ G[1] = lambda T: np.exp( -(-1*gibbs_sp('OH',T)-1*gibbs_sp('H2',T)+1*gibbs_sp('H2O',T)+1*gibbs_sp('H',T) ) )
G[3] = lambda T: np.exp( -(-1*gibbs_sp('O',T)-1*gibbs_sp('H2',T)+1*gibbs_sp('OH',T)+1*gibbs_sp('H',T) ) )
G[5] = lambda T: np.exp( -(-1*gibbs_sp('O',T)-1*gibbs_sp('H2O',T)+1*gibbs_sp('OH',T)+1*gibbs_sp('OH',T) ) )
G[7] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('CH',T)+1*gibbs_sp('H2',T)+1*gibbs_sp('C',T) ) )
@@ -2922,7 +3132,7 @@ def Gibbs(i,T):
G[221] = lambda T: np.exp( -(-1*gibbs_sp('N',T)-1*gibbs_sp('CH2',T)+1*gibbs_sp('NH',T)+1*gibbs_sp('CH',T) ) )
G[223] = lambda T: np.exp( -(-1*gibbs_sp('N',T)-1*gibbs_sp('CH2',T)+1*gibbs_sp('HCN',T)+1*gibbs_sp('H',T) ) )
G[225] = lambda T: np.exp( -(-1*gibbs_sp('N',T)-1*gibbs_sp('C2',T)+1*gibbs_sp('CN',T)+1*gibbs_sp('C',T) ) )
- G[227] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('NO',T)+1*gibbs_sp('OH',T)+1*gibbs_sp('N',T) ) )
+ G[227] = lambda T: np.exp( -(-1*gibbs_sp('N',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('NO',T)+1*gibbs_sp('H',T) ) )
G[229] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('NH',T)+1*gibbs_sp('H2',T)+1*gibbs_sp('N',T) ) )
G[231] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('H2',T)+1*gibbs_sp('NH',T) ) )
G[233] = lambda T: np.exp( -(-1*gibbs_sp('H2',T)-1*gibbs_sp('CN',T)+1*gibbs_sp('H',T)+1*gibbs_sp('HCN',T) ) )
@@ -2964,124 +3174,124 @@ def Gibbs(i,T):
G[305] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('H2',T)+1*gibbs_sp('NH3',T)+1*gibbs_sp('H',T) ) )
G[307] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('CH4',T)+1*gibbs_sp('CH3',T)+1*gibbs_sp('NH3',T) ) )
G[309] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('O',T)+1*gibbs_sp('H2',T)+1*gibbs_sp('NO',T) ) )
- G[311] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('H2O',T)+1*gibbs_sp('NH3',T)+1*gibbs_sp('OH',T) ) )
+ G[311] = lambda T: np.exp( -(-1*gibbs_sp('NH3',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('NH2',T)+1*gibbs_sp('H2O',T) ) )
G[313] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('NH3',T)+1*gibbs_sp('NH',T) ) )
G[315] = lambda T: np.exp( -(-1*gibbs_sp('NH3',T)-1*gibbs_sp('CH',T)+1*gibbs_sp('NH2',T)+1*gibbs_sp('CH2',T) ) )
G[317] = lambda T: np.exp( -(-1*gibbs_sp('NH3',T)-1*gibbs_sp('CN',T)+1*gibbs_sp('HCN',T)+1*gibbs_sp('NH2',T) ) )
- G[319] = lambda T: np.exp( -(-1*gibbs_sp('NH',T)-1*gibbs_sp('H2CN',T)+1*gibbs_sp('HCN',T)+1*gibbs_sp('NH2',T) ) )
- G[321] = lambda T: np.exp( -(-1*gibbs_sp('CN',T)-1*gibbs_sp('C2H6',T)+1*gibbs_sp('C2H5',T)+1*gibbs_sp('HCN',T) ) )
- G[323] = lambda T: np.exp( -(-1*gibbs_sp('HCN',T)-1*gibbs_sp('O',T)+1*gibbs_sp('CO',T)+1*gibbs_sp('NH',T) ) )
- G[325] = lambda T: np.exp( -(-1*gibbs_sp('NH',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('N2H2',T)+1*gibbs_sp('H',T) ) )
- G[327] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('N2H2',T)+1*gibbs_sp('NH3',T)+1*gibbs_sp('N2H',T) ) )
- G[329] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('N2H3',T)+1*gibbs_sp('NH3',T)+1*gibbs_sp('N2H2',T) ) )
- G[331] = lambda T: np.exp( -(-1*gibbs_sp('N2H2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('N2H',T)+1*gibbs_sp('H2',T) ) )
- G[333] = lambda T: np.exp( -(-1*gibbs_sp('N2H2',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('N2H',T)+1*gibbs_sp('CH4',T) ) )
- G[335] = lambda T: np.exp( -(-1*gibbs_sp('N2H2',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('N2H',T)+1*gibbs_sp('H2O',T) ) )
- G[337] = lambda T: np.exp( -(-1*gibbs_sp('N2H3',T)-1*gibbs_sp('H',T)+1*gibbs_sp('N2H2',T)+1*gibbs_sp('H2',T) ) )
- G[339] = lambda T: np.exp( -(-1*gibbs_sp('N2H3',T)-1*gibbs_sp('O',T)+1*gibbs_sp('N2H2',T)+1*gibbs_sp('OH',T) ) )
- G[341] = lambda T: np.exp( -(-1*gibbs_sp('N2H3',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('N2H2',T)+1*gibbs_sp('H2O',T) ) )
- G[343] = lambda T: np.exp( -(-1*gibbs_sp('N2H3',T)-1*gibbs_sp('N2H3',T)+1*gibbs_sp('N2H4',T)+1*gibbs_sp('N2H2',T) ) )
- G[345] = lambda T: np.exp( -(-1*gibbs_sp('N2H',T)-1*gibbs_sp('H',T)+1*gibbs_sp('N2',T)+1*gibbs_sp('H2',T) ) )
- G[347] = lambda T: np.exp( -(-1*gibbs_sp('N2H',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('N2',T)+1*gibbs_sp('H2O',T) ) )
- G[349] = lambda T: np.exp( -(-1*gibbs_sp('N2H',T)-1*gibbs_sp('O',T)+1*gibbs_sp('N2',T)+1*gibbs_sp('OH',T) ) )
- G[351] = lambda T: np.exp( -(-1*gibbs_sp('N2H',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('N2',T)+1*gibbs_sp('NH3',T) ) )
- G[353] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('NO',T)+1*gibbs_sp('N2H',T)+1*gibbs_sp('OH',T) ) )
- G[355] = lambda T: np.exp( -(-1*gibbs_sp('N2H',T)-1*gibbs_sp('NO',T)+1*gibbs_sp('N2',T)+1*gibbs_sp('HNO',T) ) )
- G[357] = lambda T: np.exp( -(-1*gibbs_sp('N2H2',T)-1*gibbs_sp('O',T)+1*gibbs_sp('N2H',T)+1*gibbs_sp('OH',T) ) )
- G[359] = lambda T: np.exp( -(-1*gibbs_sp('NH',T)-1*gibbs_sp('N2H2',T)+1*gibbs_sp('NH2',T)+1*gibbs_sp('N2H',T) ) )
- G[361] = lambda T: np.exp( -(-1*gibbs_sp('H2CN',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('HCN',T)+1*gibbs_sp('H2O',T) ) )
- G[363] = lambda T: np.exp( -(-1*gibbs_sp('NO',T)-1*gibbs_sp('CH2',T)+1*gibbs_sp('HNCO',T)+1*gibbs_sp('H',T) ) )
- G[365] = lambda T: np.exp( -(-1*gibbs_sp('HNCO',T)-1*gibbs_sp('H',T)+1*gibbs_sp('CO',T)+1*gibbs_sp('NH2',T) ) )
- G[367] = lambda T: np.exp( -(-1*gibbs_sp('HCN',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('HNCO',T)+1*gibbs_sp('H',T) ) )
- G[369] = lambda T: np.exp( -(-1*gibbs_sp('CH3',T)-1*gibbs_sp('N',T)+1*gibbs_sp('H2CN',T)+1*gibbs_sp('H',T) ) )
- G[371] = lambda T: np.exp( -(-1*gibbs_sp('CH3',T)-1*gibbs_sp('N',T)+1*gibbs_sp('HCN',T)+1*gibbs_sp('H2',T) ) )
- G[373] = lambda T: np.exp( -(-1*gibbs_sp('CH3',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('NH3',T)+1*gibbs_sp('CH2',T) ) )
- G[375] = lambda T: np.exp( -(-1*gibbs_sp('N2H',T)-1*gibbs_sp('O',T)+1*gibbs_sp('NH',T)+1*gibbs_sp('NO',T) ) )
- G[377] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('N2H2',T)+1*gibbs_sp('H2',T) ) )
- G[379] = lambda T: np.exp( -(-1*gibbs_sp('NO',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('H2CN',T)+1*gibbs_sp('OH',T) ) )
- G[381] = lambda T: np.exp( -(-1*gibbs_sp('N2H4',T)-1*gibbs_sp('H',T)+1*gibbs_sp('N2H3',T)+1*gibbs_sp('H2',T) ) )
- G[383] = lambda T: np.exp( -(-1*gibbs_sp('O',T)-1*gibbs_sp('CH3O',T)+1*gibbs_sp('O2',T)+1*gibbs_sp('CH3',T) ) )
- G[385] = lambda T: np.exp( -(-1*gibbs_sp('O2',T)-1*gibbs_sp('C',T)+1*gibbs_sp('O',T)+1*gibbs_sp('CO',T) ) )
- G[387] = lambda T: np.exp( -(-1*gibbs_sp('O2',T)-1*gibbs_sp('CH2',T)+1*gibbs_sp('H2O',T)+1*gibbs_sp('CO',T) ) )
- G[389] = lambda T: np.exp( -(-1*gibbs_sp('O2',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('OH',T)+1*gibbs_sp('H2CO',T) ) )
- G[391] = lambda T: np.exp( -(-1*gibbs_sp('O2',T)-1*gibbs_sp('C2H',T)+1*gibbs_sp('CO',T)+1*gibbs_sp('HCO',T) ) )
- G[393] = lambda T: np.exp( -(-1*gibbs_sp('O2',T)-1*gibbs_sp('C2H3',T)+1*gibbs_sp('H2CO',T)+1*gibbs_sp('HCO',T) ) )
- G[395] = lambda T: np.exp( -(-1*gibbs_sp('N',T)-1*gibbs_sp('O2',T)+1*gibbs_sp('NO',T)+1*gibbs_sp('O',T) ) )
- G[397] = lambda T: np.exp( -(-1*gibbs_sp('NH',T)-1*gibbs_sp('O2',T)+1*gibbs_sp('NO',T)+1*gibbs_sp('OH',T) ) )
- G[399] = lambda T: np.exp( -(-1*gibbs_sp('NH',T)-1*gibbs_sp('O2',T)+1*gibbs_sp('HNO',T)+1*gibbs_sp('O',T) ) )
- G[401] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('O2',T)+1*gibbs_sp('HNO',T)+1*gibbs_sp('OH',T) ) )
- G[403] = lambda T: np.exp( -(-1*gibbs_sp('NO2',T)-1*gibbs_sp('O',T)+1*gibbs_sp('NO',T)+1*gibbs_sp('O2',T) ) )
- G[405] = lambda T: np.exp( -(-1*gibbs_sp('N2O',T)-1*gibbs_sp('O',T)+1*gibbs_sp('N2',T)+1*gibbs_sp('O2',T) ) )
- G[407] = lambda T: np.exp( -(-1*gibbs_sp('N2O',T)-1*gibbs_sp('H',T)+1*gibbs_sp('N2',T)+1*gibbs_sp('OH',T) ) )
- G[409] = lambda T: np.exp( -(-1*gibbs_sp('NH',T)-1*gibbs_sp('NO',T)+1*gibbs_sp('N2O',T)+1*gibbs_sp('H',T) ) )
- G[411] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('NO2',T)+1*gibbs_sp('N2O',T)+1*gibbs_sp('H2O',T) ) )
- G[413] = lambda T: np.exp( -(-1*gibbs_sp('HNO',T)-1*gibbs_sp('HNO',T)+1*gibbs_sp('N2O',T)+1*gibbs_sp('H2O',T) ) )
- G[415] = lambda T: np.exp( -(-1*gibbs_sp('NO2',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('NO',T)+1*gibbs_sp('CH3O',T) ) )
- G[417] = lambda T: np.exp( -(-1*gibbs_sp('N2H4',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('N2H3',T)+1*gibbs_sp('NH3',T) ) )
- G[419] = lambda T: np.exp( -(-1*gibbs_sp('C2H',T)-1*gibbs_sp('C2H2',T)+1*gibbs_sp('C4H2',T)+1*gibbs_sp('H',T) ) )
- G[421] = lambda T: np.exp( -(-1*gibbs_sp('CH2NH2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('CH2NH',T)+1*gibbs_sp('H2',T) ) )
- G[423] = lambda T: np.exp( -(-1*gibbs_sp('CH3NH2',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('CH2NH2',T)+1*gibbs_sp('NH3',T) ) )
- G[425] = lambda T: np.exp( -(-1*gibbs_sp('CH2NH2',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('NH2',T)+1*gibbs_sp('C2H5',T) ) )
- G[427] = lambda T: np.exp( -(-1*gibbs_sp('CH2NH2',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('CH2OH',T)+1*gibbs_sp('NH2',T) ) )
- G[429] = lambda T: np.exp( -(-1*gibbs_sp('CH3NH2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('CH2NH2',T)+1*gibbs_sp('H2',T) ) )
- G[431] = lambda T: np.exp( -(-1*gibbs_sp('CH2NH',T)-1*gibbs_sp('H',T)+1*gibbs_sp('H2CN',T)+1*gibbs_sp('H2',T) ) )
- G[433] = lambda T: np.exp( -(-1*gibbs_sp('CH3',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('CH2NH',T)+1*gibbs_sp('H2',T) ) )
- G[435] = lambda T: np.exp( -(-1*gibbs_sp('CH3',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('CH2NH2',T)+1*gibbs_sp('H',T) ) )
- G[437] = lambda T: np.exp( -(-1*gibbs_sp('CH3NH2',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('CH2NH2',T)+1*gibbs_sp('CH4',T) ) )
- G[439] = lambda T: np.exp( -(-1*gibbs_sp('N2H3',T)-1*gibbs_sp('H',T)+1*gibbs_sp('NH2',T)+1*gibbs_sp('NH2',T) ) )
- G[441] = lambda T: np.exp( -(-1*gibbs_sp('CH',T)-1*gibbs_sp('H2O',T)+1*gibbs_sp('H2CO',T)+1*gibbs_sp('H',T) ) )
- G[443] = lambda T: np.exp( -(-1*gibbs_sp('O',T)-1*gibbs_sp('C2H5',T)+1*gibbs_sp('CH3CHO',T)+1*gibbs_sp('H',T) ) )
- G[445] = lambda T: np.exp( -(-1*gibbs_sp('CH3CHO',T)-1*gibbs_sp('H',T)+1*gibbs_sp('H2',T)+1*gibbs_sp('CH3CO',T) ) )
- G[447] = lambda T: np.exp( -(-1*gibbs_sp('NH',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('HNO',T)+1*gibbs_sp('H',T) ) )
- G[449] = lambda T: np.exp( -(-1*gibbs_sp('HNO',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('NO',T)+1*gibbs_sp('H2O',T) ) )
- G[451] = lambda T: np.exp( -(-1*gibbs_sp('HNO',T)-1*gibbs_sp('O',T)+1*gibbs_sp('NO',T)+1*gibbs_sp('OH',T) ) )
- G[453] = lambda T: np.exp( -(-1*gibbs_sp('HNO',T)-1*gibbs_sp('H',T)+1*gibbs_sp('NO',T)+1*gibbs_sp('H2',T) ) )
- G[455] = lambda T: np.exp( -(-1*gibbs_sp('NO',T)-1*gibbs_sp('CH3O',T)+1*gibbs_sp('HNO',T)+1*gibbs_sp('H2CO',T) ) )
- G[457] = lambda T: np.exp( -(-1*gibbs_sp('NO',T)-1*gibbs_sp('HCO',T)+1*gibbs_sp('HNO',T)+1*gibbs_sp('CO',T) ) )
- G[459] = lambda T: np.exp( -(-1*gibbs_sp('HNO2',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('NO2',T)+1*gibbs_sp('H2O',T) ) )
- G[461] = lambda T: np.exp( -(-1*gibbs_sp('HNO2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('HNO',T)+1*gibbs_sp('OH',T) ) )
- G[463] = lambda T: np.exp( -(-1*gibbs_sp('HNO2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('NO2',T)+1*gibbs_sp('H2',T) ) )
- G[465] = lambda T: np.exp( -(-1*gibbs_sp('HNO2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('NO',T)+1*gibbs_sp('H2O',T) ) )
- G[467] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('HNO',T)+1*gibbs_sp('NO',T)+1*gibbs_sp('NH3',T) ) )
- G[469] = lambda T: np.exp( -(-1*gibbs_sp('NCO',T)-1*gibbs_sp('HCN',T)+1*gibbs_sp('HNCO',T)+1*gibbs_sp('CN',T) ) )
- G[471] = lambda T: np.exp( -(-1*gibbs_sp('NCO',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('HNCO',T)+1*gibbs_sp('NH',T) ) )
- G[473] = lambda T: np.exp( -(-1*gibbs_sp('NCO',T)-1*gibbs_sp('HCO',T)+1*gibbs_sp('HNCO',T)+1*gibbs_sp('CO',T) ) )
- G[475] = lambda T: np.exp( -(-1*gibbs_sp('CN',T)-1*gibbs_sp('CO2',T)+1*gibbs_sp('CO',T)+1*gibbs_sp('NCO',T) ) )
- G[477] = lambda T: np.exp( -(-1*gibbs_sp('HCN',T)-1*gibbs_sp('O',T)+1*gibbs_sp('NCO',T)+1*gibbs_sp('H',T) ) )
- G[479] = lambda T: np.exp( -(-1*gibbs_sp('CN',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('NCO',T)+1*gibbs_sp('H',T) ) )
- G[481] = lambda T: np.exp( -(-1*gibbs_sp('HNCO',T)-1*gibbs_sp('H',T)+1*gibbs_sp('NCO',T)+1*gibbs_sp('H2',T) ) )
- G[483] = lambda T: np.exp( -(-1*gibbs_sp('HNCO',T)-1*gibbs_sp('O',T)+1*gibbs_sp('NCO',T)+1*gibbs_sp('OH',T) ) )
- G[485] = lambda T: np.exp( -(-1*gibbs_sp('HNCO',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('NCO',T)+1*gibbs_sp('H2O',T) ) )
- G[487] = lambda T: np.exp( -(-1*gibbs_sp('N2H3',T)-1*gibbs_sp('NH',T)+1*gibbs_sp('N2H2',T)+1*gibbs_sp('NH2',T) ) )
- G[489] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('H2CN',T)+1*gibbs_sp('NH3',T)+1*gibbs_sp('HCN',T) ) )
- G[491] = lambda T: np.exp( -(-1*gibbs_sp('NH',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('NH3',T)+1*gibbs_sp('N',T) ) )
- G[493] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('O',T)+1*gibbs_sp('HNO',T)+1*gibbs_sp('H',T) ) )
- G[495] = lambda T: np.exp( -(-1*gibbs_sp('H2',T)-1*gibbs_sp('HNO',T)+1*gibbs_sp('NH',T)+1*gibbs_sp('H2O',T) ) )
- G[497] = lambda T: np.exp( -(-1*gibbs_sp('HO2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('OH',T)+1*gibbs_sp('OH',T) ) )
- G[499] = lambda T: np.exp( -(-1*gibbs_sp('HO2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('O',T)+1*gibbs_sp('H2O',T) ) )
- G[501] = lambda T: np.exp( -(-1*gibbs_sp('HO2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('O2',T)+1*gibbs_sp('H2',T) ) )
- G[503] = lambda T: np.exp( -(-1*gibbs_sp('CO',T)-1*gibbs_sp('HO2',T)+1*gibbs_sp('CO2',T)+1*gibbs_sp('OH',T) ) )
- G[505] = lambda T: np.exp( -(-1*gibbs_sp('O',T)-1*gibbs_sp('H2O2',T)+1*gibbs_sp('OH',T)+1*gibbs_sp('HO2',T) ) )
- G[507] = lambda T: np.exp( -(-1*gibbs_sp('OH',T)-1*gibbs_sp('H2O2',T)+1*gibbs_sp('H2O',T)+1*gibbs_sp('HO2',T) ) )
- G[509] = lambda T: np.exp( -(-1*gibbs_sp('H2O2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('H2',T)+1*gibbs_sp('HO2',T) ) )
- G[511] = lambda T: np.exp( -(-1*gibbs_sp('H2O2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('OH',T)+1*gibbs_sp('H2O',T) ) )
- G[513] = lambda T: np.exp( -(-1*gibbs_sp('O',T)-1*gibbs_sp('HO2',T)+1*gibbs_sp('OH',T)+1*gibbs_sp('O2',T) ) )
- G[515] = lambda T: np.exp( -(-1*gibbs_sp('O2',T)-1*gibbs_sp('CH4',T)+1*gibbs_sp('CH3',T)+1*gibbs_sp('HO2',T) ) )
- G[517] = lambda T: np.exp( -(-1*gibbs_sp('O2',T)-1*gibbs_sp('C2H6',T)+1*gibbs_sp('C2H5',T)+1*gibbs_sp('HO2',T) ) )
- G[519] = lambda T: np.exp( -(-1*gibbs_sp('HCO',T)-1*gibbs_sp('O2',T)+1*gibbs_sp('CO',T)+1*gibbs_sp('HO2',T) ) )
- G[521] = lambda T: np.exp( -(-1*gibbs_sp('OH',T)-1*gibbs_sp('HO2',T)+1*gibbs_sp('H2O',T)+1*gibbs_sp('O2',T) ) )
- G[523] = lambda T: np.exp( -(-1*gibbs_sp('H2CN',T)-1*gibbs_sp('H',T)+1*gibbs_sp('HCN',T)+1*gibbs_sp('H2',T) ) )
- G[525] = lambda T: np.exp( -(-1*gibbs_sp('CN',T)-1*gibbs_sp('C2H2',T)+1*gibbs_sp('HC3N',T)+1*gibbs_sp('H',T) ) )
- G[527] = lambda T: np.exp( -(-1*gibbs_sp('HCN',T)-1*gibbs_sp('C2H',T)+1*gibbs_sp('HC3N',T)+1*gibbs_sp('H',T) ) )
- G[529] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('CH3CN',T)+1*gibbs_sp('HCN',T)+1*gibbs_sp('CH3',T) ) )
- G[531] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('CH3CN',T)+1*gibbs_sp('CH2CN',T)+1*gibbs_sp('H2',T) ) )
- G[533] = lambda T: np.exp( -(-1*gibbs_sp('CH3CN',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('CH2CN',T)+1*gibbs_sp('H2O',T) ) )
- G[535] = lambda T: np.exp( -(-1*gibbs_sp('CH3CN',T)-1*gibbs_sp('O',T)+1*gibbs_sp('CH2CN',T)+1*gibbs_sp('OH',T) ) )
- G[537] = lambda T: np.exp( -(-1*gibbs_sp('CN',T)-1*gibbs_sp('C2H4',T)+1*gibbs_sp('C2H3CN',T)+1*gibbs_sp('H',T) ) )
- G[539] = lambda T: np.exp( -(-1*gibbs_sp('HCN',T)-1*gibbs_sp('C2H3',T)+1*gibbs_sp('C2H3CN',T)+1*gibbs_sp('H',T) ) )
- G[541] = lambda T: np.exp( -(-1*gibbs_sp('C2H3CN',T)-1*gibbs_sp('C2',T)+1*gibbs_sp('HCN',T)+1*gibbs_sp('C4H2',T) ) )
- G[543] = lambda T: np.exp( -(-1*gibbs_sp('C2H3CN',T)-1*gibbs_sp('C2',T)+1*gibbs_sp('HC3N',T)+1*gibbs_sp('C2H2',T) ) )
- G[545] = lambda T: np.exp( -(-1*gibbs_sp('N',T)-1*gibbs_sp('C2H3',T)+1*gibbs_sp('CH2CN',T)+1*gibbs_sp('H',T) ) )
+ G[319] = lambda T: np.exp( -(-1*gibbs_sp('CN',T)-1*gibbs_sp('C2H6',T)+1*gibbs_sp('C2H5',T)+1*gibbs_sp('HCN',T) ) )
+ G[321] = lambda T: np.exp( -(-1*gibbs_sp('HCN',T)-1*gibbs_sp('O',T)+1*gibbs_sp('CO',T)+1*gibbs_sp('NH',T) ) )
+ G[323] = lambda T: np.exp( -(-1*gibbs_sp('NH',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('N2H2',T)+1*gibbs_sp('H',T) ) )
+ G[325] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('N2H2',T)+1*gibbs_sp('NH3',T)+1*gibbs_sp('N2H',T) ) )
+ G[327] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('N2H3',T)+1*gibbs_sp('NH3',T)+1*gibbs_sp('N2H2',T) ) )
+ G[329] = lambda T: np.exp( -(-1*gibbs_sp('N2H2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('N2H',T)+1*gibbs_sp('H2',T) ) )
+ G[331] = lambda T: np.exp( -(-1*gibbs_sp('N2H2',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('N2H',T)+1*gibbs_sp('CH4',T) ) )
+ G[333] = lambda T: np.exp( -(-1*gibbs_sp('N2H2',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('N2H',T)+1*gibbs_sp('H2O',T) ) )
+ G[335] = lambda T: np.exp( -(-1*gibbs_sp('N2H3',T)-1*gibbs_sp('H',T)+1*gibbs_sp('N2H2',T)+1*gibbs_sp('H2',T) ) )
+ G[337] = lambda T: np.exp( -(-1*gibbs_sp('N2H3',T)-1*gibbs_sp('O',T)+1*gibbs_sp('N2H2',T)+1*gibbs_sp('OH',T) ) )
+ G[339] = lambda T: np.exp( -(-1*gibbs_sp('N2H3',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('N2H2',T)+1*gibbs_sp('H2O',T) ) )
+ G[341] = lambda T: np.exp( -(-1*gibbs_sp('N2H3',T)-1*gibbs_sp('N2H3',T)+1*gibbs_sp('N2H4',T)+1*gibbs_sp('N2H2',T) ) )
+ G[343] = lambda T: np.exp( -(-1*gibbs_sp('N2H',T)-1*gibbs_sp('H',T)+1*gibbs_sp('N2',T)+1*gibbs_sp('H2',T) ) )
+ G[345] = lambda T: np.exp( -(-1*gibbs_sp('N2H',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('N2',T)+1*gibbs_sp('H2O',T) ) )
+ G[347] = lambda T: np.exp( -(-1*gibbs_sp('N2H',T)-1*gibbs_sp('O',T)+1*gibbs_sp('N2',T)+1*gibbs_sp('OH',T) ) )
+ G[349] = lambda T: np.exp( -(-1*gibbs_sp('N2H',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('N2',T)+1*gibbs_sp('NH3',T) ) )
+ G[351] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('NO',T)+1*gibbs_sp('N2H',T)+1*gibbs_sp('OH',T) ) )
+ G[353] = lambda T: np.exp( -(-1*gibbs_sp('N2H',T)-1*gibbs_sp('NO',T)+1*gibbs_sp('N2',T)+1*gibbs_sp('HNO',T) ) )
+ G[355] = lambda T: np.exp( -(-1*gibbs_sp('N2H2',T)-1*gibbs_sp('O',T)+1*gibbs_sp('N2H',T)+1*gibbs_sp('OH',T) ) )
+ G[357] = lambda T: np.exp( -(-1*gibbs_sp('NH',T)-1*gibbs_sp('N2H2',T)+1*gibbs_sp('NH2',T)+1*gibbs_sp('N2H',T) ) )
+ G[359] = lambda T: np.exp( -(-1*gibbs_sp('H2CN',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('HCN',T)+1*gibbs_sp('H2O',T) ) )
+ G[361] = lambda T: np.exp( -(-1*gibbs_sp('NO',T)-1*gibbs_sp('CH2',T)+1*gibbs_sp('HNCO',T)+1*gibbs_sp('H',T) ) )
+ G[363] = lambda T: np.exp( -(-1*gibbs_sp('HNCO',T)-1*gibbs_sp('H',T)+1*gibbs_sp('CO',T)+1*gibbs_sp('NH2',T) ) )
+ G[365] = lambda T: np.exp( -(-1*gibbs_sp('HCN',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('HNCO',T)+1*gibbs_sp('H',T) ) )
+ G[367] = lambda T: np.exp( -(-1*gibbs_sp('CH3',T)-1*gibbs_sp('N',T)+1*gibbs_sp('H2CN',T)+1*gibbs_sp('H',T) ) )
+ G[369] = lambda T: np.exp( -(-1*gibbs_sp('CH3',T)-1*gibbs_sp('N',T)+1*gibbs_sp('HCN',T)+1*gibbs_sp('H2',T) ) )
+ G[371] = lambda T: np.exp( -(-1*gibbs_sp('CH3',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('NH3',T)+1*gibbs_sp('CH2',T) ) )
+ G[373] = lambda T: np.exp( -(-1*gibbs_sp('N2H',T)-1*gibbs_sp('O',T)+1*gibbs_sp('NH',T)+1*gibbs_sp('NO',T) ) )
+ G[375] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('N2H2',T)+1*gibbs_sp('H2',T) ) )
+ G[377] = lambda T: np.exp( -(-1*gibbs_sp('NO',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('H2CN',T)+1*gibbs_sp('OH',T) ) )
+ G[379] = lambda T: np.exp( -(-1*gibbs_sp('N2H4',T)-1*gibbs_sp('H',T)+1*gibbs_sp('N2H3',T)+1*gibbs_sp('H2',T) ) )
+ G[381] = lambda T: np.exp( -(-1*gibbs_sp('O',T)-1*gibbs_sp('CH3O',T)+1*gibbs_sp('O2',T)+1*gibbs_sp('CH3',T) ) )
+ G[383] = lambda T: np.exp( -(-1*gibbs_sp('O2',T)-1*gibbs_sp('C',T)+1*gibbs_sp('O',T)+1*gibbs_sp('CO',T) ) )
+ G[385] = lambda T: np.exp( -(-1*gibbs_sp('O2',T)-1*gibbs_sp('CH2',T)+1*gibbs_sp('H2O',T)+1*gibbs_sp('CO',T) ) )
+ G[387] = lambda T: np.exp( -(-1*gibbs_sp('O2',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('OH',T)+1*gibbs_sp('H2CO',T) ) )
+ G[389] = lambda T: np.exp( -(-1*gibbs_sp('O2',T)-1*gibbs_sp('C2H',T)+1*gibbs_sp('CO',T)+1*gibbs_sp('HCO',T) ) )
+ G[391] = lambda T: np.exp( -(-1*gibbs_sp('O2',T)-1*gibbs_sp('C2H3',T)+1*gibbs_sp('H2CO',T)+1*gibbs_sp('HCO',T) ) )
+ G[393] = lambda T: np.exp( -(-1*gibbs_sp('N',T)-1*gibbs_sp('O2',T)+1*gibbs_sp('NO',T)+1*gibbs_sp('O',T) ) )
+ G[395] = lambda T: np.exp( -(-1*gibbs_sp('NH',T)-1*gibbs_sp('O2',T)+1*gibbs_sp('NO',T)+1*gibbs_sp('OH',T) ) )
+ G[397] = lambda T: np.exp( -(-1*gibbs_sp('NH',T)-1*gibbs_sp('O2',T)+1*gibbs_sp('HNO',T)+1*gibbs_sp('O',T) ) )
+ G[399] = lambda T: np.exp( -(-1*gibbs_sp('O2',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('HNO',T)+1*gibbs_sp('OH',T) ) )
+ G[401] = lambda T: np.exp( -(-1*gibbs_sp('NO2',T)-1*gibbs_sp('O',T)+1*gibbs_sp('NO',T)+1*gibbs_sp('O2',T) ) )
+ G[403] = lambda T: np.exp( -(-1*gibbs_sp('N2O',T)-1*gibbs_sp('O',T)+1*gibbs_sp('N2',T)+1*gibbs_sp('O2',T) ) )
+ G[405] = lambda T: np.exp( -(-1*gibbs_sp('N2O',T)-1*gibbs_sp('H',T)+1*gibbs_sp('N2',T)+1*gibbs_sp('OH',T) ) )
+ G[407] = lambda T: np.exp( -(-1*gibbs_sp('NH',T)-1*gibbs_sp('NO',T)+1*gibbs_sp('N2O',T)+1*gibbs_sp('H',T) ) )
+ G[409] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('NO2',T)+1*gibbs_sp('N2O',T)+1*gibbs_sp('H2O',T) ) )
+ G[411] = lambda T: np.exp( -(-1*gibbs_sp('HNO',T)-1*gibbs_sp('HNO',T)+1*gibbs_sp('N2O',T)+1*gibbs_sp('H2O',T) ) )
+ G[413] = lambda T: np.exp( -(-1*gibbs_sp('NO2',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('NO',T)+1*gibbs_sp('CH3O',T) ) )
+ G[415] = lambda T: np.exp( -(-1*gibbs_sp('N2H4',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('N2H3',T)+1*gibbs_sp('NH3',T) ) )
+ G[417] = lambda T: np.exp( -(-1*gibbs_sp('C2H',T)-1*gibbs_sp('C2H2',T)+1*gibbs_sp('C4H2',T)+1*gibbs_sp('H',T) ) )
+ G[419] = lambda T: np.exp( -(-1*gibbs_sp('CH2NH2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('CH2NH',T)+1*gibbs_sp('H2',T) ) )
+ G[421] = lambda T: np.exp( -(-1*gibbs_sp('CH3NH2',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('CH2NH2',T)+1*gibbs_sp('NH3',T) ) )
+ G[423] = lambda T: np.exp( -(-1*gibbs_sp('CH2NH2',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('NH2',T)+1*gibbs_sp('C2H5',T) ) )
+ G[425] = lambda T: np.exp( -(-1*gibbs_sp('CH2NH2',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('CH2OH',T)+1*gibbs_sp('NH2',T) ) )
+ G[427] = lambda T: np.exp( -(-1*gibbs_sp('CH3NH2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('CH2NH2',T)+1*gibbs_sp('H2',T) ) )
+ G[429] = lambda T: np.exp( -(-1*gibbs_sp('CH2NH',T)-1*gibbs_sp('H',T)+1*gibbs_sp('H2CN',T)+1*gibbs_sp('H2',T) ) )
+ G[431] = lambda T: np.exp( -(-1*gibbs_sp('CH3',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('CH2NH',T)+1*gibbs_sp('H2',T) ) )
+ G[433] = lambda T: np.exp( -(-1*gibbs_sp('CH3',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('CH2NH2',T)+1*gibbs_sp('H',T) ) )
+ G[435] = lambda T: np.exp( -(-1*gibbs_sp('CH3NH2',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('CH2NH2',T)+1*gibbs_sp('CH4',T) ) )
+ G[437] = lambda T: np.exp( -(-1*gibbs_sp('N2H3',T)-1*gibbs_sp('H',T)+1*gibbs_sp('NH2',T)+1*gibbs_sp('NH2',T) ) )
+ G[439] = lambda T: np.exp( -(-1*gibbs_sp('CH',T)-1*gibbs_sp('H2O',T)+1*gibbs_sp('H2CO',T)+1*gibbs_sp('H',T) ) )
+ G[441] = lambda T: np.exp( -(-1*gibbs_sp('O',T)-1*gibbs_sp('C2H5',T)+1*gibbs_sp('CH3CHO',T)+1*gibbs_sp('H',T) ) )
+ G[443] = lambda T: np.exp( -(-1*gibbs_sp('CH3CHO',T)-1*gibbs_sp('H',T)+1*gibbs_sp('H2',T)+1*gibbs_sp('CH3CO',T) ) )
+ G[445] = lambda T: np.exp( -(-1*gibbs_sp('NH',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('HNO',T)+1*gibbs_sp('H',T) ) )
+ G[447] = lambda T: np.exp( -(-1*gibbs_sp('HNO',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('NO',T)+1*gibbs_sp('H2O',T) ) )
+ G[449] = lambda T: np.exp( -(-1*gibbs_sp('HNO',T)-1*gibbs_sp('O',T)+1*gibbs_sp('NO',T)+1*gibbs_sp('OH',T) ) )
+ G[451] = lambda T: np.exp( -(-1*gibbs_sp('HNO',T)-1*gibbs_sp('H',T)+1*gibbs_sp('NO',T)+1*gibbs_sp('H2',T) ) )
+ G[453] = lambda T: np.exp( -(-1*gibbs_sp('NO',T)-1*gibbs_sp('CH3O',T)+1*gibbs_sp('HNO',T)+1*gibbs_sp('H2CO',T) ) )
+ G[455] = lambda T: np.exp( -(-1*gibbs_sp('NO',T)-1*gibbs_sp('HCO',T)+1*gibbs_sp('HNO',T)+1*gibbs_sp('CO',T) ) )
+ G[457] = lambda T: np.exp( -(-1*gibbs_sp('HNO2',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('NO2',T)+1*gibbs_sp('H2O',T) ) )
+ G[459] = lambda T: np.exp( -(-1*gibbs_sp('HNO2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('HNO',T)+1*gibbs_sp('OH',T) ) )
+ G[461] = lambda T: np.exp( -(-1*gibbs_sp('HNO2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('NO2',T)+1*gibbs_sp('H2',T) ) )
+ G[463] = lambda T: np.exp( -(-1*gibbs_sp('HNO2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('NO',T)+1*gibbs_sp('H2O',T) ) )
+ G[465] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('HNO',T)+1*gibbs_sp('NO',T)+1*gibbs_sp('NH3',T) ) )
+ G[467] = lambda T: np.exp( -(-1*gibbs_sp('NCO',T)-1*gibbs_sp('HCN',T)+1*gibbs_sp('HNCO',T)+1*gibbs_sp('CN',T) ) )
+ G[469] = lambda T: np.exp( -(-1*gibbs_sp('NCO',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('HNCO',T)+1*gibbs_sp('NH',T) ) )
+ G[471] = lambda T: np.exp( -(-1*gibbs_sp('NCO',T)-1*gibbs_sp('HCO',T)+1*gibbs_sp('HNCO',T)+1*gibbs_sp('CO',T) ) )
+ G[473] = lambda T: np.exp( -(-1*gibbs_sp('CN',T)-1*gibbs_sp('CO2',T)+1*gibbs_sp('CO',T)+1*gibbs_sp('NCO',T) ) )
+ G[475] = lambda T: np.exp( -(-1*gibbs_sp('HCN',T)-1*gibbs_sp('O',T)+1*gibbs_sp('NCO',T)+1*gibbs_sp('H',T) ) )
+ G[477] = lambda T: np.exp( -(-1*gibbs_sp('CN',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('NCO',T)+1*gibbs_sp('H',T) ) )
+ G[479] = lambda T: np.exp( -(-1*gibbs_sp('HNCO',T)-1*gibbs_sp('H',T)+1*gibbs_sp('NCO',T)+1*gibbs_sp('H2',T) ) )
+ G[481] = lambda T: np.exp( -(-1*gibbs_sp('HNCO',T)-1*gibbs_sp('O',T)+1*gibbs_sp('NCO',T)+1*gibbs_sp('OH',T) ) )
+ G[483] = lambda T: np.exp( -(-1*gibbs_sp('HNCO',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('NCO',T)+1*gibbs_sp('H2O',T) ) )
+ G[485] = lambda T: np.exp( -(-1*gibbs_sp('N2H3',T)-1*gibbs_sp('NH',T)+1*gibbs_sp('N2H2',T)+1*gibbs_sp('NH2',T) ) )
+ G[487] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('H2CN',T)+1*gibbs_sp('NH3',T)+1*gibbs_sp('HCN',T) ) )
+ G[489] = lambda T: np.exp( -(-1*gibbs_sp('NH',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('NH3',T)+1*gibbs_sp('N',T) ) )
+ G[491] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('O',T)+1*gibbs_sp('HNO',T)+1*gibbs_sp('H',T) ) )
+ G[493] = lambda T: np.exp( -(-1*gibbs_sp('H2',T)-1*gibbs_sp('HNO',T)+1*gibbs_sp('NH',T)+1*gibbs_sp('H2O',T) ) )
+ G[495] = lambda T: np.exp( -(-1*gibbs_sp('HO2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('OH',T)+1*gibbs_sp('OH',T) ) )
+ G[497] = lambda T: np.exp( -(-1*gibbs_sp('HO2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('O',T)+1*gibbs_sp('H2O',T) ) )
+ G[499] = lambda T: np.exp( -(-1*gibbs_sp('HO2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('O2',T)+1*gibbs_sp('H2',T) ) )
+ G[501] = lambda T: np.exp( -(-1*gibbs_sp('CO',T)-1*gibbs_sp('HO2',T)+1*gibbs_sp('CO2',T)+1*gibbs_sp('OH',T) ) )
+ G[503] = lambda T: np.exp( -(-1*gibbs_sp('O',T)-1*gibbs_sp('H2O2',T)+1*gibbs_sp('OH',T)+1*gibbs_sp('HO2',T) ) )
+ G[505] = lambda T: np.exp( -(-1*gibbs_sp('OH',T)-1*gibbs_sp('H2O2',T)+1*gibbs_sp('H2O',T)+1*gibbs_sp('HO2',T) ) )
+ G[507] = lambda T: np.exp( -(-1*gibbs_sp('H2O2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('H2',T)+1*gibbs_sp('HO2',T) ) )
+ G[509] = lambda T: np.exp( -(-1*gibbs_sp('H2O2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('OH',T)+1*gibbs_sp('H2O',T) ) )
+ G[511] = lambda T: np.exp( -(-1*gibbs_sp('O',T)-1*gibbs_sp('HO2',T)+1*gibbs_sp('OH',T)+1*gibbs_sp('O2',T) ) )
+ G[513] = lambda T: np.exp( -(-1*gibbs_sp('CH3',T)-1*gibbs_sp('HO2',T)+1*gibbs_sp('CH4',T)+1*gibbs_sp('O2',T) ) )
+ G[515] = lambda T: np.exp( -(-1*gibbs_sp('C2H5',T)-1*gibbs_sp('HO2',T)+1*gibbs_sp('C2H6',T)+1*gibbs_sp('O2',T) ) )
+ G[517] = lambda T: np.exp( -(-1*gibbs_sp('HCO',T)-1*gibbs_sp('O2',T)+1*gibbs_sp('CO',T)+1*gibbs_sp('HO2',T) ) )
+ G[519] = lambda T: np.exp( -(-1*gibbs_sp('OH',T)-1*gibbs_sp('HO2',T)+1*gibbs_sp('H2O',T)+1*gibbs_sp('O2',T) ) )
+ G[521] = lambda T: np.exp( -(-1*gibbs_sp('H2CN',T)-1*gibbs_sp('H',T)+1*gibbs_sp('HCN',T)+1*gibbs_sp('H2',T) ) )
+ G[523] = lambda T: np.exp( -(-1*gibbs_sp('CN',T)-1*gibbs_sp('C2H2',T)+1*gibbs_sp('HC3N',T)+1*gibbs_sp('H',T) ) )
+ G[525] = lambda T: np.exp( -(-1*gibbs_sp('HCN',T)-1*gibbs_sp('C2H',T)+1*gibbs_sp('HC3N',T)+1*gibbs_sp('H',T) ) )
+ G[527] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('CH3CN',T)+1*gibbs_sp('HCN',T)+1*gibbs_sp('CH3',T) ) )
+ G[529] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('CH3CN',T)+1*gibbs_sp('CH2CN',T)+1*gibbs_sp('H2',T) ) )
+ G[531] = lambda T: np.exp( -(-1*gibbs_sp('CH3CN',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('CH2CN',T)+1*gibbs_sp('H2O',T) ) )
+ G[533] = lambda T: np.exp( -(-1*gibbs_sp('CH3CN',T)-1*gibbs_sp('O',T)+1*gibbs_sp('CH2CN',T)+1*gibbs_sp('OH',T) ) )
+ G[535] = lambda T: np.exp( -(-1*gibbs_sp('CN',T)-1*gibbs_sp('C2H4',T)+1*gibbs_sp('C2H3CN',T)+1*gibbs_sp('H',T) ) )
+ G[537] = lambda T: np.exp( -(-1*gibbs_sp('HCN',T)-1*gibbs_sp('C2H3',T)+1*gibbs_sp('C2H3CN',T)+1*gibbs_sp('H',T) ) )
+ G[539] = lambda T: np.exp( -(-1*gibbs_sp('C2H3CN',T)-1*gibbs_sp('C2',T)+1*gibbs_sp('HCN',T)+1*gibbs_sp('C4H2',T) ) )
+ G[541] = lambda T: np.exp( -(-1*gibbs_sp('C2H3CN',T)-1*gibbs_sp('C2',T)+1*gibbs_sp('HC3N',T)+1*gibbs_sp('C2H2',T) ) )
+ G[543] = lambda T: np.exp( -(-1*gibbs_sp('N',T)-1*gibbs_sp('C2H3',T)+1*gibbs_sp('CH2CN',T)+1*gibbs_sp('H',T) ) )
+ G[545] = lambda T: np.exp( -(-1*gibbs_sp('CH2CN',T)-1*gibbs_sp('O',T)+1*gibbs_sp('HCN',T)+1*gibbs_sp('HCO',T) ) )
G[547] = lambda T: np.exp( -(-1*gibbs_sp('HO2',T)-1*gibbs_sp('CH4',T)+1*gibbs_sp('CH3',T)+1*gibbs_sp('H2O2',T) ) )
G[549] = lambda T: np.exp( -(-1*gibbs_sp('HO2',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('NH3',T)+1*gibbs_sp('O2',T) ) )
G[551] = lambda T: np.exp( -(-1*gibbs_sp('N',T)-1*gibbs_sp('NH3',T)+1*gibbs_sp('N2H',T)+1*gibbs_sp('H2',T) ) )
@@ -3096,126 +3306,158 @@ def Gibbs(i,T):
G[569] = lambda T: np.exp( -(-1*gibbs_sp('CH2',T)-1*gibbs_sp('C2H',T)+1*gibbs_sp('C3H2',T)+1*gibbs_sp('H',T) ) )
G[571] = lambda T: np.exp( -(-1*gibbs_sp('CH',T)-1*gibbs_sp('C2H2',T)+1*gibbs_sp('C3H2',T)+1*gibbs_sp('H',T) ) )
G[573] = lambda T: np.exp( -(-1*gibbs_sp('CH3',T)-1*gibbs_sp('C2H',T)+1*gibbs_sp('C3H3',T)+1*gibbs_sp('H',T) ) )
- G[575] = lambda T: np.exp( -(-1*gibbs_sp('O_1',T)-1*gibbs_sp('H2',T)+1*gibbs_sp('OH',T)+1*gibbs_sp('H',T) ) )
- G[577] = lambda T: np.exp( -(-1*gibbs_sp('O_1',T)-1*gibbs_sp('CH4',T)+1*gibbs_sp('OH',T)+1*gibbs_sp('CH3',T) ) )
- G[579] = lambda T: np.exp( -(-1*gibbs_sp('O_1',T)-1*gibbs_sp('H2O',T)+1*gibbs_sp('OH',T)+1*gibbs_sp('OH',T) ) )
- G[581] = lambda T: np.exp( -(-1*gibbs_sp('O_1',T)-1*gibbs_sp('CO2',T)+1*gibbs_sp('O',T)+1*gibbs_sp('CO2',T) ) )
- G[583] = lambda T: np.exp( -(-1*gibbs_sp('O_1',T)-1*gibbs_sp('NH3',T)+1*gibbs_sp('OH',T)+1*gibbs_sp('NH2',T) ) )
- G[585] = lambda T: np.exp( -(-1*gibbs_sp('O_1',T)-1*gibbs_sp('CO',T)+1*gibbs_sp('CO2',T) ) )*(corr*T)**1
- G[587] = lambda T: np.exp( -(-1*gibbs_sp('O_1',T)-1*gibbs_sp('NO2',T)+1*gibbs_sp('O2',T)+1*gibbs_sp('NO',T) ) )
- G[589] = lambda T: np.exp( -(-1*gibbs_sp('CH2_1',T)-1*gibbs_sp('H2',T)+1*gibbs_sp('CH3',T)+1*gibbs_sp('H',T) ) )
- G[591] = lambda T: np.exp( -(-1*gibbs_sp('CH2_1',T)-1*gibbs_sp('H2',T)+1*gibbs_sp('CH2',T)+1*gibbs_sp('H2',T) ) )
- G[593] = lambda T: np.exp( -(-1*gibbs_sp('CH2_1',T)-1*gibbs_sp('H2O',T)+1*gibbs_sp('CH2',T)+1*gibbs_sp('H2O',T) ) )
- G[595] = lambda T: np.exp( -(-1*gibbs_sp('CH2_1',T)-1*gibbs_sp('CO',T)+1*gibbs_sp('CH2',T)+1*gibbs_sp('CO',T) ) )
- G[597] = lambda T: np.exp( -(-1*gibbs_sp('CH2_1',T)-1*gibbs_sp('C2H2',T)+1*gibbs_sp('C3H3',T)+1*gibbs_sp('H',T) ) )
- G[599] = lambda T: np.exp( -(-1*gibbs_sp('N_2D',T)-1*gibbs_sp('H2',T)+1*gibbs_sp('NH',T)+1*gibbs_sp('H',T) ) )
- G[601] = lambda T: np.exp( -(-1*gibbs_sp('N_2D',T)-1*gibbs_sp('H2O',T)+1*gibbs_sp('NH',T)+1*gibbs_sp('OH',T) ) )
- G[603] = lambda T: np.exp( -(-1*gibbs_sp('N_2D',T)-1*gibbs_sp('NH3',T)+1*gibbs_sp('NH',T)+1*gibbs_sp('NH2',T) ) )
- G[605] = lambda T: np.exp( -(-1*gibbs_sp('He',T)+1*gibbs_sp('He',T) ) )
- G[607] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('H',T)+1*gibbs_sp('H2',T) ) )*(corr*T)**1
- G[609] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('O',T)+1*gibbs_sp('OH',T) ) )*(corr*T)**1
- G[611] = lambda T: np.exp( -(-1*gibbs_sp('OH',T)-1*gibbs_sp('H',T)+1*gibbs_sp('H2O',T) ) )*(corr*T)**1
- G[613] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('CH',T)+1*gibbs_sp('CH2',T) ) )*(corr*T)**1
- G[615] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('CH4',T) ) )*(corr*T)**1
- G[617] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('C2H2',T)+1*gibbs_sp('C2H3',T) ) )*(corr*T)**1
- G[619] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('C2H3',T)+1*gibbs_sp('C2H4',T) ) )*(corr*T)**1
- G[621] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('C2H4',T)+1*gibbs_sp('C2H5',T) ) )*(corr*T)**1
- G[623] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('C2H5',T)+1*gibbs_sp('C2H6',T) ) )*(corr*T)**1
- G[625] = lambda T: np.exp( -(-1*gibbs_sp('H2',T)-1*gibbs_sp('C',T)+1*gibbs_sp('CH2',T) ) )*(corr*T)**1
- G[627] = lambda T: np.exp( -(-1*gibbs_sp('CH',T)+1*gibbs_sp('C',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
- G[629] = lambda T: np.exp( -(-1*gibbs_sp('CH2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('CH3',T) ) )*(corr*T)**1
- G[631] = lambda T: np.exp( -(-1*gibbs_sp('CH',T)-1*gibbs_sp('H2',T)+1*gibbs_sp('CH3',T) ) )*(corr*T)**1
- G[633] = lambda T: np.exp( -(-1*gibbs_sp('CH3',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('C2H6',T) ) )*(corr*T)**1
- G[635] = lambda T: np.exp( -(-1*gibbs_sp('C2H',T)-1*gibbs_sp('H',T)+1*gibbs_sp('C2H2',T) ) )*(corr*T)**1
- G[637] = lambda T: np.exp( -(-1*gibbs_sp('C2H4',T)+1*gibbs_sp('C2H2',T)+1*gibbs_sp('H2',T) ) )*(corr*T)**-1
- G[639] = lambda T: np.exp( -(-1*gibbs_sp('C2H6',T)+1*gibbs_sp('C2H4',T)+1*gibbs_sp('H2',T) ) )*(corr*T)**-1
- G[641] = lambda T: np.exp( -(-1*gibbs_sp('CO',T)-1*gibbs_sp('O',T)+1*gibbs_sp('CO2',T) ) )*(corr*T)**1
- G[643] = lambda T: np.exp( -(-1*gibbs_sp('CH2OH',T)+1*gibbs_sp('H',T)+1*gibbs_sp('H2CO',T) ) )*(corr*T)**-1
- G[645] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('CO',T)+1*gibbs_sp('HCO',T) ) )*(corr*T)**1
- G[647] = lambda T: np.exp( -(-1*gibbs_sp('H2O',T)-1*gibbs_sp('CH',T)+1*gibbs_sp('CH2OH',T) ) )*(corr*T)**1
- G[649] = lambda T: np.exp( -(-1*gibbs_sp('CH3O',T)+1*gibbs_sp('H',T)+1*gibbs_sp('H2CO',T) ) )*(corr*T)**-1
- G[651] = lambda T: np.exp( -(-1*gibbs_sp('CH2OH',T)-1*gibbs_sp('H',T)+1*gibbs_sp('CH3OH',T) ) )*(corr*T)**1
- G[653] = lambda T: np.exp( -(-1*gibbs_sp('OH',T)-1*gibbs_sp('C2H2',T)+1*gibbs_sp('CH3CO',T) ) )*(corr*T)**1
- G[655] = lambda T: np.exp( -(-1*gibbs_sp('CO',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('CH3CO',T) ) )*(corr*T)**1
- G[657] = lambda T: np.exp( -(-1*gibbs_sp('HCO',T)-1*gibbs_sp('H',T)+1*gibbs_sp('H2CO',T) ) )*(corr*T)**1
- G[659] = lambda T: np.exp( -(-1*gibbs_sp('CO',T)-1*gibbs_sp('H2',T)+1*gibbs_sp('H2CO',T) ) )*(corr*T)**1
- G[661] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('NH3',T) ) )*(corr*T)**1
- G[663] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('CN',T)+1*gibbs_sp('HCN',T) ) )*(corr*T)**1
- G[665] = lambda T: np.exp( -(-1*gibbs_sp('H2',T)-1*gibbs_sp('N',T)+1*gibbs_sp('NH2',T) ) )*(corr*T)**1
- G[667] = lambda T: np.exp( -(-1*gibbs_sp('N',T)-1*gibbs_sp('N',T)+1*gibbs_sp('N2',T) ) )*(corr*T)**1
- G[669] = lambda T: np.exp( -(-1*gibbs_sp('N2H3',T)+1*gibbs_sp('N2H2',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
- G[671] = lambda T: np.exp( -(-1*gibbs_sp('HCN',T)-1*gibbs_sp('H',T)+1*gibbs_sp('H2CN',T) ) )*(corr*T)**1
- G[673] = lambda T: np.exp( -(-1*gibbs_sp('HNCO',T)+1*gibbs_sp('CO',T)+1*gibbs_sp('NH',T) ) )*(corr*T)**-1
- G[675] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('N2H4',T) ) )*(corr*T)**1
- G[677] = lambda T: np.exp( -(-1*gibbs_sp('NO',T)-1*gibbs_sp('O',T)+1*gibbs_sp('NO2',T) ) )*(corr*T)**1
- G[679] = lambda T: np.exp( -(-1*gibbs_sp('N2O',T)+1*gibbs_sp('N2',T)+1*gibbs_sp('O',T) ) )*(corr*T)**-1
- G[681] = lambda T: np.exp( -(-1*gibbs_sp('N2H',T)+1*gibbs_sp('N2',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
- G[683] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('CH3NH2',T) ) )*(corr*T)**1
- G[685] = lambda T: np.exp( -(-1*gibbs_sp('NO',T)-1*gibbs_sp('H',T)+1*gibbs_sp('HNO',T) ) )*(corr*T)**1
- G[687] = lambda T: np.exp( -(-1*gibbs_sp('NO',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('HNO2',T) ) )*(corr*T)**1
- G[689] = lambda T: np.exp( -(-1*gibbs_sp('C',T)-1*gibbs_sp('C',T)+1*gibbs_sp('C2',T) ) )*(corr*T)**1
- G[691] = lambda T: np.exp( -(-1*gibbs_sp('HO2',T)-1*gibbs_sp('HO2',T)+1*gibbs_sp('H2O2',T)+1*gibbs_sp('O2',T) ) )
- G[693] = lambda T: np.exp( -(-1*gibbs_sp('OH',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('H2O2',T) ) )*(corr*T)**1
- G[695] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('O2',T)+1*gibbs_sp('HO2',T) ) )*(corr*T)**1
- G[697] = lambda T: np.exp( -(-1*gibbs_sp('CH2CN',T)-1*gibbs_sp('H',T)+1*gibbs_sp('CH3CN',T) ) )*(corr*T)**1
- G[699] = lambda T: np.exp( -(-1*gibbs_sp('C3H2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('C3H3',T) ) )*(corr*T)**1
- G[701] = lambda T: np.exp( -(-1*gibbs_sp('C3H3',T)-1*gibbs_sp('C3H3',T)+1*gibbs_sp('C6H6',T) ) )*(corr*T)**1
- G[703] = lambda T: np.exp( -(-1*gibbs_sp('C2H',T)+1*gibbs_sp('C2',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
- G[705] = lambda T: np.exp( -(-1*gibbs_sp('O',T)-1*gibbs_sp('C',T)+1*gibbs_sp('CO',T) ) )*(corr*T)**1
- G[707] = lambda T: np.exp( -(-1*gibbs_sp('NH',T)+1*gibbs_sp('H',T)+1*gibbs_sp('N',T) ) )*(corr*T)**-1
- G[709] = lambda T: np.exp( -(-1*gibbs_sp('O',T)-1*gibbs_sp('N',T)+1*gibbs_sp('NO',T) ) )*(corr*T)**1
- G[711] = lambda T: np.exp( -(-1*gibbs_sp('N2H2',T)+1*gibbs_sp('N2H',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
- G[713] = lambda T: np.exp( -(-1*gibbs_sp('O',T)-1*gibbs_sp('O',T)+1*gibbs_sp('O2',T) ) )*(corr*T)**1
- G[715] = lambda T: np.exp( -(-1*gibbs_sp('HNCO',T)+1*gibbs_sp('H',T)+1*gibbs_sp('NCO',T) ) )*(corr*T)**-1
- G[717] = lambda T: np.exp( -(-1*gibbs_sp('N_2D',T)+1*gibbs_sp('N',T) ) )
- G[719] = lambda T: np.exp( -(-1*gibbs_sp('OH',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('CH3OH',T) ) )*(corr*T)**1
- G[721] = lambda T: np.exp( -(-1*gibbs_sp('H2O',T)+1*gibbs_sp('H',T)+1*gibbs_sp('OH',T) ) )*(corr*T)**-1
- G[723] = lambda T: np.exp( -(-1*gibbs_sp('H2O',T)+1*gibbs_sp('H2',T)+1*gibbs_sp('O_1',T) ) )*(corr*T)**-1
- G[725] = lambda T: np.exp( -(-1*gibbs_sp('H2O',T)+1*gibbs_sp('H',T)+1*gibbs_sp('H',T)+1*gibbs_sp('O',T) ) )*(corr*T)**-2
- G[727] = lambda T: np.exp( -(-1*gibbs_sp('CH4',T)+1*gibbs_sp('CH3',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
- G[729] = lambda T: np.exp( -(-1*gibbs_sp('CH4',T)+1*gibbs_sp('CH2_1',T)+1*gibbs_sp('H2',T) ) )*(corr*T)**-1
- G[731] = lambda T: np.exp( -(-1*gibbs_sp('CH4',T)+1*gibbs_sp('CH2_1',T)+1*gibbs_sp('H',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-2
- G[733] = lambda T: np.exp( -(-1*gibbs_sp('CH4',T)+1*gibbs_sp('CH',T)+1*gibbs_sp('H2',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-2
- G[735] = lambda T: np.exp( -(-1*gibbs_sp('CH3',T)+1*gibbs_sp('CH',T)+1*gibbs_sp('H2',T) ) )*(corr*T)**-1
- G[737] = lambda T: np.exp( -(-1*gibbs_sp('CH3',T)+1*gibbs_sp('CH2_1',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
- G[739] = lambda T: np.exp( -(-1*gibbs_sp('CO',T)+1*gibbs_sp('C',T)+1*gibbs_sp('O',T) ) )*(corr*T)**-1
- G[741] = lambda T: np.exp( -(-1*gibbs_sp('H2',T)+1*gibbs_sp('H',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
- G[743] = lambda T: np.exp( -(-1*gibbs_sp('C2H2',T)+1*gibbs_sp('C2H',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
- G[745] = lambda T: np.exp( -(-1*gibbs_sp('CO2',T)+1*gibbs_sp('CO',T)+1*gibbs_sp('O',T) ) )*(corr*T)**-1
- G[747] = lambda T: np.exp( -(-1*gibbs_sp('CO2',T)+1*gibbs_sp('CO',T)+1*gibbs_sp('O_1',T) ) )*(corr*T)**-1
- G[749] = lambda T: np.exp( -(-1*gibbs_sp('C2H4',T)+1*gibbs_sp('C2H2',T)+1*gibbs_sp('H2',T) ) )*(corr*T)**-1
- G[751] = lambda T: np.exp( -(-1*gibbs_sp('C2H4',T)+1*gibbs_sp('C2H2',T)+1*gibbs_sp('H',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-2
- G[753] = lambda T: np.exp( -(-1*gibbs_sp('C2H4',T)+1*gibbs_sp('C2H3',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
- G[755] = lambda T: np.exp( -(-1*gibbs_sp('C2H6',T)+1*gibbs_sp('C2H4',T)+1*gibbs_sp('H2',T) ) )*(corr*T)**-1
- G[757] = lambda T: np.exp( -(-1*gibbs_sp('C2H6',T)+1*gibbs_sp('C2H4',T)+1*gibbs_sp('H',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-2
- G[759] = lambda T: np.exp( -(-1*gibbs_sp('C2H6',T)+1*gibbs_sp('C2H2',T)+1*gibbs_sp('H2',T)+1*gibbs_sp('H2',T) ) )*(corr*T)**-2
- G[761] = lambda T: np.exp( -(-1*gibbs_sp('C2H6',T)+1*gibbs_sp('CH4',T)+1*gibbs_sp('CH2_1',T) ) )*(corr*T)**-1
- G[763] = lambda T: np.exp( -(-1*gibbs_sp('C2H6',T)+1*gibbs_sp('CH3',T)+1*gibbs_sp('CH3',T) ) )*(corr*T)**-1
- G[765] = lambda T: np.exp( -(-1*gibbs_sp('OH',T)+1*gibbs_sp('H',T)+1*gibbs_sp('O',T) ) )*(corr*T)**-1
- G[767] = lambda T: np.exp( -(-1*gibbs_sp('HCO',T)+1*gibbs_sp('H',T)+1*gibbs_sp('CO',T) ) )*(corr*T)**-1
- G[769] = lambda T: np.exp( -(-1*gibbs_sp('H2CO',T)+1*gibbs_sp('H2',T)+1*gibbs_sp('CO',T) ) )*(corr*T)**-1
- G[771] = lambda T: np.exp( -(-1*gibbs_sp('H2CO',T)+1*gibbs_sp('H',T)+1*gibbs_sp('HCO',T) ) )*(corr*T)**-1
- G[773] = lambda T: np.exp( -(-1*gibbs_sp('CH3OH',T)+1*gibbs_sp('CH3',T)+1*gibbs_sp('OH',T) ) )*(corr*T)**-1
- G[775] = lambda T: np.exp( -(-1*gibbs_sp('CH3OH',T)+1*gibbs_sp('H2CO',T)+1*gibbs_sp('H2',T) ) )*(corr*T)**-1
- G[777] = lambda T: np.exp( -(-1*gibbs_sp('CH3OH',T)+1*gibbs_sp('CH3O',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
- G[779] = lambda T: np.exp( -(-1*gibbs_sp('CH3CHO',T)+1*gibbs_sp('CH4',T)+1*gibbs_sp('CO',T) ) )*(corr*T)**-1
- G[781] = lambda T: np.exp( -(-1*gibbs_sp('CH3CHO',T)+1*gibbs_sp('CH3',T)+1*gibbs_sp('HCO',T) ) )*(corr*T)**-1
- G[783] = lambda T: np.exp( -(-1*gibbs_sp('N2',T)+1*gibbs_sp('N',T)+1*gibbs_sp('N',T) ) )*(corr*T)**-1
- G[785] = lambda T: np.exp( -(-1*gibbs_sp('NH3',T)+1*gibbs_sp('NH2',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
- G[787] = lambda T: np.exp( -(-1*gibbs_sp('NH3',T)+1*gibbs_sp('NH',T)+1*gibbs_sp('H',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-2
- G[789] = lambda T: np.exp( -(-1*gibbs_sp('HCN',T)+1*gibbs_sp('H',T)+1*gibbs_sp('CN',T) ) )*(corr*T)**-1
- G[791] = lambda T: np.exp( -(-1*gibbs_sp('NO',T)+1*gibbs_sp('N',T)+1*gibbs_sp('O',T) ) )*(corr*T)**-1
- G[793] = lambda T: np.exp( -(-1*gibbs_sp('NO2',T)+1*gibbs_sp('NO',T)+1*gibbs_sp('O',T) ) )*(corr*T)**-1
- G[795] = lambda T: np.exp( -(-1*gibbs_sp('N2H4',T)+1*gibbs_sp('N2H3',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
- G[797] = lambda T: np.exp( -(-1*gibbs_sp('HNCO',T)+1*gibbs_sp('NH',T)+1*gibbs_sp('CO',T) ) )*(corr*T)**-1
- G[799] = lambda T: np.exp( -(-1*gibbs_sp('HNCO',T)+1*gibbs_sp('H',T)+1*gibbs_sp('NCO',T) ) )*(corr*T)**-1
- G[801] = lambda T: np.exp( -(-1*gibbs_sp('HO2',T)+1*gibbs_sp('O',T)+1*gibbs_sp('OH',T) ) )*(corr*T)**-1
- G[803] = lambda T: np.exp( -(-1*gibbs_sp('O2',T)+1*gibbs_sp('O',T)+1*gibbs_sp('O',T) ) )*(corr*T)**-1
- G[805] = lambda T: np.exp( -(-1*gibbs_sp('O2',T)+1*gibbs_sp('O',T)+1*gibbs_sp('O_1',T) ) )*(corr*T)**-1
- G[807] = lambda T: np.exp( -(-1*gibbs_sp('C6H6',T)+1*gibbs_sp('C3H3',T)+1*gibbs_sp('C3H3',T) ) )*(corr*T)**-1
- G[809] = lambda T: np.exp( -(-1*gibbs_sp('C6H6',T)+1*gibbs_sp('C2H2',T)+1*gibbs_sp('C2H2',T)+1*gibbs_sp('C2H2',T) ) )*(corr*T)**-2
- G[811] = lambda T: np.exp( -(-1*gibbs_sp('C4H2',T)+1*gibbs_sp('C2H2',T)+1*gibbs_sp('C2',T) ) )*(corr*T)**-1
- G[813] = lambda T: np.exp( -(-1*gibbs_sp('CH2',T)+1*gibbs_sp('CH',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
+ G[575] = lambda T: np.exp( -(-1*gibbs_sp('NH3',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('N2H3',T)+1*gibbs_sp('H2',T) ) )
+ G[577] = lambda T: np.exp( -(-1*gibbs_sp('N2H3',T)-1*gibbs_sp('N2H',T)+1*gibbs_sp('N2H2',T)+1*gibbs_sp('N2H2',T) ) )
+ G[579] = lambda T: np.exp( -(-1*gibbs_sp('N2H3',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('N2H2',T)+1*gibbs_sp('CH4',T) ) )
+ G[581] = lambda T: np.exp( -(-1*gibbs_sp('CH3',T)-1*gibbs_sp('C2H2',T)+1*gibbs_sp('C3H4',T)+1*gibbs_sp('H',T) ) )
+ G[583] = lambda T: np.exp( -(-1*gibbs_sp('CH',T)-1*gibbs_sp('C3H3',T)+1*gibbs_sp('C4H3',T)+1*gibbs_sp('H',T) ) )
+ G[585] = lambda T: np.exp( -(-1*gibbs_sp('C2H',T)-1*gibbs_sp('C2H5',T)+1*gibbs_sp('C4H5',T)+1*gibbs_sp('H',T) ) )
+ G[587] = lambda T: np.exp( -(-1*gibbs_sp('C2H2',T)-1*gibbs_sp('C4H5',T)+1*gibbs_sp('C6H6',T)+1*gibbs_sp('H',T) ) )
+ G[589] = lambda T: np.exp( -(-1*gibbs_sp('C6H5',T)-1*gibbs_sp('H2',T)+1*gibbs_sp('C6H6',T)+1*gibbs_sp('H',T) ) )
+ G[591] = lambda T: np.exp( -(-1*gibbs_sp('C6H5',T)-1*gibbs_sp('CH4',T)+1*gibbs_sp('C6H6',T)+1*gibbs_sp('CH3',T) ) )
+ G[593] = lambda T: np.exp( -(-1*gibbs_sp('C',T)-1*gibbs_sp('C2H2',T)+1*gibbs_sp('C3H2',T) ) )*(corr*T)**1
+ G[595] = lambda T: np.exp( -(-1*gibbs_sp('O',T)-1*gibbs_sp('C2H4',T)+1*gibbs_sp('H2CO',T)+1*gibbs_sp('CH2',T) ) )
+ G[597] = lambda T: np.exp( -(-1*gibbs_sp('O',T)-1*gibbs_sp('C2H3',T)+1*gibbs_sp('HCO',T)+1*gibbs_sp('CH2',T) ) )
+ G[599] = lambda T: np.exp( -(-1*gibbs_sp('CH3OH',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('CH3O',T)+1*gibbs_sp('H2O',T) ) )
+ G[601] = lambda T: np.exp( -(-1*gibbs_sp('CH3OH',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('CH2OH',T)+1*gibbs_sp('H2O',T) ) )
+ G[603] = lambda T: np.exp( -(-1*gibbs_sp('HO2',T)-1*gibbs_sp('NO',T)+1*gibbs_sp('OH',T)+1*gibbs_sp('NO2',T) ) )
+ G[605] = lambda T: np.exp( -(-1*gibbs_sp('O2',T)-1*gibbs_sp('H2CO',T)+1*gibbs_sp('HO2',T)+1*gibbs_sp('HCO',T) ) )
+ G[607] = lambda T: np.exp( -(-1*gibbs_sp('N',T)-1*gibbs_sp('NO2',T)+1*gibbs_sp('N2O',T)+1*gibbs_sp('O',T) ) )
+ G[609] = lambda T: np.exp( -(-1*gibbs_sp('CH3O',T)-1*gibbs_sp('O2',T)+1*gibbs_sp('H2CO',T)+1*gibbs_sp('HO2',T) ) )
+ G[611] = lambda T: np.exp( -(-1*gibbs_sp('CH3',T)-1*gibbs_sp('CN',T)+1*gibbs_sp('CH2CN',T)+1*gibbs_sp('H',T) ) )
+ G[613] = lambda T: np.exp( -(-1*gibbs_sp('HO2',T)-1*gibbs_sp('HO2',T)+1*gibbs_sp('H2O2',T)+1*gibbs_sp('O2',T) ) )
+ G[615] = lambda T: np.exp( -(-1*gibbs_sp('O_1',T)-1*gibbs_sp('C2H6',T)+1*gibbs_sp('C2H5',T)+1*gibbs_sp('OH',T) ) )
+ G[617] = lambda T: np.exp( -(-1*gibbs_sp('O_1',T)-1*gibbs_sp('H2',T)+1*gibbs_sp('OH',T)+1*gibbs_sp('H',T) ) )
+ G[619] = lambda T: np.exp( -(-1*gibbs_sp('O_1',T)-1*gibbs_sp('CH4',T)+1*gibbs_sp('OH',T)+1*gibbs_sp('CH3',T) ) )
+ G[621] = lambda T: np.exp( -(-1*gibbs_sp('O_1',T)-1*gibbs_sp('H2O',T)+1*gibbs_sp('OH',T)+1*gibbs_sp('OH',T) ) )
+ G[623] = lambda T: np.exp( -(-1*gibbs_sp('O_1',T)-1*gibbs_sp('CO2',T)+1*gibbs_sp('O',T)+1*gibbs_sp('CO2',T) ) )
+ G[625] = lambda T: np.exp( -(-1*gibbs_sp('O_1',T)-1*gibbs_sp('NH3',T)+1*gibbs_sp('OH',T)+1*gibbs_sp('NH2',T) ) )
+ G[627] = lambda T: np.exp( -(-1*gibbs_sp('O_1',T)-1*gibbs_sp('CO',T)+1*gibbs_sp('CO2',T) ) )*(corr*T)**1
+ G[629] = lambda T: np.exp( -(-1*gibbs_sp('O_1',T)-1*gibbs_sp('NO2',T)+1*gibbs_sp('O2',T)+1*gibbs_sp('NO',T) ) )
+ G[631] = lambda T: np.exp( -(-1*gibbs_sp('O_1',T)-1*gibbs_sp('N2',T)+1*gibbs_sp('O',T)+1*gibbs_sp('N2',T) ) )
+ G[633] = lambda T: np.exp( -(-1*gibbs_sp('CH2_1',T)-1*gibbs_sp('H2',T)+1*gibbs_sp('CH3',T)+1*gibbs_sp('H',T) ) )
+ G[635] = lambda T: np.exp( -(-1*gibbs_sp('CH2_1',T)-1*gibbs_sp('H2',T)+1*gibbs_sp('CH2',T)+1*gibbs_sp('H2',T) ) )
+ G[637] = lambda T: np.exp( -(-1*gibbs_sp('CH2_1',T)-1*gibbs_sp('H2O',T)+1*gibbs_sp('CH2',T)+1*gibbs_sp('H2O',T) ) )
+ G[639] = lambda T: np.exp( -(-1*gibbs_sp('CH2_1',T)-1*gibbs_sp('CO',T)+1*gibbs_sp('CH2',T)+1*gibbs_sp('CO',T) ) )
+ G[641] = lambda T: np.exp( -(-1*gibbs_sp('CH2_1',T)-1*gibbs_sp('C2H2',T)+1*gibbs_sp('C3H3',T)+1*gibbs_sp('H',T) ) )
+ G[643] = lambda T: np.exp( -(-1*gibbs_sp('N_2D',T)-1*gibbs_sp('H2',T)+1*gibbs_sp('NH',T)+1*gibbs_sp('H',T) ) )
+ G[645] = lambda T: np.exp( -(-1*gibbs_sp('N_2D',T)-1*gibbs_sp('H2O',T)+1*gibbs_sp('NH',T)+1*gibbs_sp('OH',T) ) )
+ G[647] = lambda T: np.exp( -(-1*gibbs_sp('N_2D',T)-1*gibbs_sp('NH3',T)+1*gibbs_sp('NH',T)+1*gibbs_sp('NH2',T) ) )
+ G[649] = lambda T: np.exp( -(-1*gibbs_sp('N_2D',T)-1*gibbs_sp('O2',T)+1*gibbs_sp('NO',T)+1*gibbs_sp('O',T) ) )
+ G[651] = lambda T: np.exp( -(-1*gibbs_sp('N_2D',T)-1*gibbs_sp('N2O',T)+1*gibbs_sp('N2',T)+1*gibbs_sp('NO',T) ) )
+ G[653] = lambda T: np.exp( -(-1*gibbs_sp('OH',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('CH2_1',T)+1*gibbs_sp('H2O',T) ) )
+ G[655] = lambda T: np.exp( -(-1*gibbs_sp('He',T)+1*gibbs_sp('He',T) ) )
+ G[657] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('H',T)+1*gibbs_sp('H2',T) ) )*(corr*T)**1
+ G[659] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('O',T)+1*gibbs_sp('OH',T) ) )*(corr*T)**1
+ G[661] = lambda T: np.exp( -(-1*gibbs_sp('OH',T)-1*gibbs_sp('H',T)+1*gibbs_sp('H2O',T) ) )*(corr*T)**1
+ G[663] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('CH',T)+1*gibbs_sp('CH2',T) ) )*(corr*T)**1
+ G[665] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('CH4',T) ) )*(corr*T)**1
+ G[667] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('C2H2',T)+1*gibbs_sp('C2H3',T) ) )*(corr*T)**1
+ G[669] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('C2H3',T)+1*gibbs_sp('C2H4',T) ) )*(corr*T)**1
+ G[671] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('C2H4',T)+1*gibbs_sp('C2H5',T) ) )*(corr*T)**1
+ G[673] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('C2H5',T)+1*gibbs_sp('C2H6',T) ) )*(corr*T)**1
+ G[675] = lambda T: np.exp( -(-1*gibbs_sp('H2',T)-1*gibbs_sp('C',T)+1*gibbs_sp('CH2',T) ) )*(corr*T)**1
+ G[677] = lambda T: np.exp( -(-1*gibbs_sp('CH',T)+1*gibbs_sp('C',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
+ G[679] = lambda T: np.exp( -(-1*gibbs_sp('CH2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('CH3',T) ) )*(corr*T)**1
+ G[681] = lambda T: np.exp( -(-1*gibbs_sp('CH',T)-1*gibbs_sp('H2',T)+1*gibbs_sp('CH3',T) ) )*(corr*T)**1
+ G[683] = lambda T: np.exp( -(-1*gibbs_sp('CH3',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('C2H6',T) ) )*(corr*T)**1
+ G[685] = lambda T: np.exp( -(-1*gibbs_sp('C2H',T)-1*gibbs_sp('H',T)+1*gibbs_sp('C2H2',T) ) )*(corr*T)**1
+ G[687] = lambda T: np.exp( -(-1*gibbs_sp('C2H4',T)+1*gibbs_sp('C2H2',T)+1*gibbs_sp('H2',T) ) )*(corr*T)**-1
+ G[689] = lambda T: np.exp( -(-1*gibbs_sp('C2H6',T)+1*gibbs_sp('C2H4',T)+1*gibbs_sp('H2',T) ) )*(corr*T)**-1
+ G[691] = lambda T: np.exp( -(-1*gibbs_sp('CO',T)-1*gibbs_sp('O',T)+1*gibbs_sp('CO2',T) ) )*(corr*T)**1
+ G[693] = lambda T: np.exp( -(-1*gibbs_sp('CH2OH',T)+1*gibbs_sp('H',T)+1*gibbs_sp('H2CO',T) ) )*(corr*T)**-1
+ G[695] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('CO',T)+1*gibbs_sp('HCO',T) ) )*(corr*T)**1
+ G[697] = lambda T: np.exp( -(-1*gibbs_sp('H2O',T)-1*gibbs_sp('CH',T)+1*gibbs_sp('CH2OH',T) ) )*(corr*T)**1
+ G[699] = lambda T: np.exp( -(-1*gibbs_sp('CH3O',T)+1*gibbs_sp('H',T)+1*gibbs_sp('H2CO',T) ) )*(corr*T)**-1
+ G[701] = lambda T: np.exp( -(-1*gibbs_sp('CH2OH',T)-1*gibbs_sp('H',T)+1*gibbs_sp('CH3OH',T) ) )*(corr*T)**1
+ G[703] = lambda T: np.exp( -(-1*gibbs_sp('OH',T)-1*gibbs_sp('C2H2',T)+1*gibbs_sp('CH3CO',T) ) )*(corr*T)**1
+ G[705] = lambda T: np.exp( -(-1*gibbs_sp('CO',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('CH3CO',T) ) )*(corr*T)**1
+ G[707] = lambda T: np.exp( -(-1*gibbs_sp('HCO',T)-1*gibbs_sp('H',T)+1*gibbs_sp('H2CO',T) ) )*(corr*T)**1
+ G[709] = lambda T: np.exp( -(-1*gibbs_sp('CO',T)-1*gibbs_sp('H2',T)+1*gibbs_sp('H2CO',T) ) )*(corr*T)**1
+ G[711] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('NH3',T) ) )*(corr*T)**1
+ G[713] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('CN',T)+1*gibbs_sp('HCN',T) ) )*(corr*T)**1
+ G[715] = lambda T: np.exp( -(-1*gibbs_sp('H2',T)-1*gibbs_sp('N',T)+1*gibbs_sp('NH2',T) ) )*(corr*T)**1
+ G[717] = lambda T: np.exp( -(-1*gibbs_sp('N',T)-1*gibbs_sp('N',T)+1*gibbs_sp('N2',T) ) )*(corr*T)**1
+ G[719] = lambda T: np.exp( -(-1*gibbs_sp('N2H3',T)+1*gibbs_sp('N2H2',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
+ G[721] = lambda T: np.exp( -(-1*gibbs_sp('HCN',T)-1*gibbs_sp('H',T)+1*gibbs_sp('H2CN',T) ) )*(corr*T)**1
+ G[723] = lambda T: np.exp( -(-1*gibbs_sp('HNCO',T)+1*gibbs_sp('CO',T)+1*gibbs_sp('NH',T) ) )*(corr*T)**-1
+ G[725] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('NH2',T)+1*gibbs_sp('N2H4',T) ) )*(corr*T)**1
+ G[727] = lambda T: np.exp( -(-1*gibbs_sp('NO',T)-1*gibbs_sp('O',T)+1*gibbs_sp('NO2',T) ) )*(corr*T)**1
+ G[729] = lambda T: np.exp( -(-1*gibbs_sp('N2O',T)+1*gibbs_sp('N2',T)+1*gibbs_sp('O',T) ) )*(corr*T)**-1
+ G[731] = lambda T: np.exp( -(-1*gibbs_sp('N2H',T)+1*gibbs_sp('N2',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
+ G[733] = lambda T: np.exp( -(-1*gibbs_sp('NH2',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('CH3NH2',T) ) )*(corr*T)**1
+ G[735] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('NO',T)+1*gibbs_sp('HNO',T) ) )*(corr*T)**1
+ G[737] = lambda T: np.exp( -(-1*gibbs_sp('NO',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('HNO2',T) ) )*(corr*T)**1
+ G[739] = lambda T: np.exp( -(-1*gibbs_sp('C',T)-1*gibbs_sp('C',T)+1*gibbs_sp('C2',T) ) )*(corr*T)**1
+ G[741] = lambda T: np.exp( -(-1*gibbs_sp('HO2',T)-1*gibbs_sp('HO2',T)+1*gibbs_sp('H2O2',T)+1*gibbs_sp('O2',T) ) )
+ G[743] = lambda T: np.exp( -(-1*gibbs_sp('OH',T)-1*gibbs_sp('OH',T)+1*gibbs_sp('H2O2',T) ) )*(corr*T)**1
+ G[745] = lambda T: np.exp( -(-1*gibbs_sp('H',T)-1*gibbs_sp('O2',T)+1*gibbs_sp('HO2',T) ) )*(corr*T)**1
+ G[747] = lambda T: np.exp( -(-1*gibbs_sp('CH2CN',T)-1*gibbs_sp('H',T)+1*gibbs_sp('CH3CN',T) ) )*(corr*T)**1
+ G[749] = lambda T: np.exp( -(-1*gibbs_sp('C3H2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('C3H3',T) ) )*(corr*T)**1
+ G[751] = lambda T: np.exp( -(-1*gibbs_sp('C3H3',T)-1*gibbs_sp('C3H3',T)+1*gibbs_sp('C6H6',T) ) )*(corr*T)**1
+ G[753] = lambda T: np.exp( -(-1*gibbs_sp('N2H2',T)+1*gibbs_sp('N2H',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
+ G[755] = lambda T: np.exp( -(-1*gibbs_sp('C3H3',T)-1*gibbs_sp('H',T)+1*gibbs_sp('C3H4',T) ) )*(corr*T)**1
+ G[757] = lambda T: np.exp( -(-1*gibbs_sp('CH2',T)-1*gibbs_sp('C2H2',T)+1*gibbs_sp('C3H4',T) ) )*(corr*T)**1
+ G[759] = lambda T: np.exp( -(-1*gibbs_sp('C6H5',T)-1*gibbs_sp('H',T)+1*gibbs_sp('C6H6',T) ) )*(corr*T)**1
+ G[761] = lambda T: np.exp( -(-1*gibbs_sp('C4H2',T)-1*gibbs_sp('H',T)+1*gibbs_sp('C4H3',T) ) )*(corr*T)**1
+ G[763] = lambda T: np.exp( -(-1*gibbs_sp('C2H2',T)-1*gibbs_sp('C4H3',T)+1*gibbs_sp('C6H5',T) ) )*(corr*T)**1
+ G[765] = lambda T: np.exp( -(-1*gibbs_sp('C2H2',T)-1*gibbs_sp('C2H3',T)+1*gibbs_sp('C4H5',T) ) )*(corr*T)**1
+ G[767] = lambda T: np.exp( -(-1*gibbs_sp('C2H',T)+1*gibbs_sp('C2',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
+ G[769] = lambda T: np.exp( -(-1*gibbs_sp('O',T)-1*gibbs_sp('C',T)+1*gibbs_sp('CO',T) ) )*(corr*T)**1
+ G[771] = lambda T: np.exp( -(-1*gibbs_sp('NH',T)+1*gibbs_sp('H',T)+1*gibbs_sp('N',T) ) )*(corr*T)**-1
+ G[773] = lambda T: np.exp( -(-1*gibbs_sp('O',T)-1*gibbs_sp('N',T)+1*gibbs_sp('NO',T) ) )*(corr*T)**1
+ G[775] = lambda T: np.exp( -(-1*gibbs_sp('O',T)-1*gibbs_sp('O',T)+1*gibbs_sp('O2',T) ) )*(corr*T)**1
+ G[777] = lambda T: np.exp( -(-1*gibbs_sp('HNCO',T)+1*gibbs_sp('H',T)+1*gibbs_sp('NCO',T) ) )*(corr*T)**-1
+ G[779] = lambda T: np.exp( -(-1*gibbs_sp('N_2D',T)+1*gibbs_sp('N',T) ) )
+ G[781] = lambda T: np.exp( -(-1*gibbs_sp('OH',T)-1*gibbs_sp('CH3',T)+1*gibbs_sp('CH3OH',T) ) )*(corr*T)**1
+ G[783] = lambda T: np.exp( -(-1*gibbs_sp('H2O',T)+1*gibbs_sp('H',T)+1*gibbs_sp('OH',T) ) )*(corr*T)**-1
+ G[785] = lambda T: np.exp( -(-1*gibbs_sp('H2O',T)+1*gibbs_sp('H2',T)+1*gibbs_sp('O_1',T) ) )*(corr*T)**-1
+ G[787] = lambda T: np.exp( -(-1*gibbs_sp('H2O',T)+1*gibbs_sp('H',T)+1*gibbs_sp('H',T)+1*gibbs_sp('O',T) ) )*(corr*T)**-2
+ G[789] = lambda T: np.exp( -(-1*gibbs_sp('CH4',T)+1*gibbs_sp('CH3',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
+ G[791] = lambda T: np.exp( -(-1*gibbs_sp('CH4',T)+1*gibbs_sp('CH2_1',T)+1*gibbs_sp('H2',T) ) )*(corr*T)**-1
+ G[793] = lambda T: np.exp( -(-1*gibbs_sp('CH4',T)+1*gibbs_sp('CH2_1',T)+1*gibbs_sp('H',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-2
+ G[795] = lambda T: np.exp( -(-1*gibbs_sp('CH4',T)+1*gibbs_sp('CH',T)+1*gibbs_sp('H2',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-2
+ G[797] = lambda T: np.exp( -(-1*gibbs_sp('CH3',T)+1*gibbs_sp('CH',T)+1*gibbs_sp('H2',T) ) )*(corr*T)**-1
+ G[799] = lambda T: np.exp( -(-1*gibbs_sp('CH3',T)+1*gibbs_sp('CH2_1',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
+ G[801] = lambda T: np.exp( -(-1*gibbs_sp('CO',T)+1*gibbs_sp('C',T)+1*gibbs_sp('O',T) ) )*(corr*T)**-1
+ G[803] = lambda T: np.exp( -(-1*gibbs_sp('H2',T)+1*gibbs_sp('H',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
+ G[805] = lambda T: np.exp( -(-1*gibbs_sp('C2H2',T)+1*gibbs_sp('C2H',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
+ G[807] = lambda T: np.exp( -(-1*gibbs_sp('CO2',T)+1*gibbs_sp('CO',T)+1*gibbs_sp('O',T) ) )*(corr*T)**-1
+ G[809] = lambda T: np.exp( -(-1*gibbs_sp('CO2',T)+1*gibbs_sp('CO',T)+1*gibbs_sp('O_1',T) ) )*(corr*T)**-1
+ G[811] = lambda T: np.exp( -(-1*gibbs_sp('C2H4',T)+1*gibbs_sp('C2H2',T)+1*gibbs_sp('H2',T) ) )*(corr*T)**-1
+ G[813] = lambda T: np.exp( -(-1*gibbs_sp('C2H4',T)+1*gibbs_sp('C2H2',T)+1*gibbs_sp('H',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-2
+ G[815] = lambda T: np.exp( -(-1*gibbs_sp('C2H4',T)+1*gibbs_sp('C2H3',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
+ G[817] = lambda T: np.exp( -(-1*gibbs_sp('C2H6',T)+1*gibbs_sp('C2H4',T)+1*gibbs_sp('H2',T) ) )*(corr*T)**-1
+ G[819] = lambda T: np.exp( -(-1*gibbs_sp('C2H6',T)+1*gibbs_sp('C2H4',T)+1*gibbs_sp('H',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-2
+ G[821] = lambda T: np.exp( -(-1*gibbs_sp('C2H6',T)+1*gibbs_sp('C2H2',T)+1*gibbs_sp('H2',T)+1*gibbs_sp('H2',T) ) )*(corr*T)**-2
+ G[823] = lambda T: np.exp( -(-1*gibbs_sp('C2H6',T)+1*gibbs_sp('CH4',T)+1*gibbs_sp('CH2_1',T) ) )*(corr*T)**-1
+ G[825] = lambda T: np.exp( -(-1*gibbs_sp('C2H6',T)+1*gibbs_sp('CH3',T)+1*gibbs_sp('CH3',T) ) )*(corr*T)**-1
+ G[827] = lambda T: np.exp( -(-1*gibbs_sp('OH',T)+1*gibbs_sp('H',T)+1*gibbs_sp('O',T) ) )*(corr*T)**-1
+ G[829] = lambda T: np.exp( -(-1*gibbs_sp('HCO',T)+1*gibbs_sp('H',T)+1*gibbs_sp('CO',T) ) )*(corr*T)**-1
+ G[831] = lambda T: np.exp( -(-1*gibbs_sp('H2CO',T)+1*gibbs_sp('H2',T)+1*gibbs_sp('CO',T) ) )*(corr*T)**-1
+ G[833] = lambda T: np.exp( -(-1*gibbs_sp('H2CO',T)+1*gibbs_sp('H',T)+1*gibbs_sp('HCO',T) ) )*(corr*T)**-1
+ G[835] = lambda T: np.exp( -(-1*gibbs_sp('CH3OH',T)+1*gibbs_sp('CH3',T)+1*gibbs_sp('OH',T) ) )*(corr*T)**-1
+ G[837] = lambda T: np.exp( -(-1*gibbs_sp('CH3OH',T)+1*gibbs_sp('H2CO',T)+1*gibbs_sp('H2',T) ) )*(corr*T)**-1
+ G[839] = lambda T: np.exp( -(-1*gibbs_sp('CH3OH',T)+1*gibbs_sp('CH3O',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
+ G[841] = lambda T: np.exp( -(-1*gibbs_sp('CH3CHO',T)+1*gibbs_sp('CH4',T)+1*gibbs_sp('CO',T) ) )*(corr*T)**-1
+ G[843] = lambda T: np.exp( -(-1*gibbs_sp('CH3CHO',T)+1*gibbs_sp('CH3',T)+1*gibbs_sp('HCO',T) ) )*(corr*T)**-1
+ G[845] = lambda T: np.exp( -(-1*gibbs_sp('N2',T)+1*gibbs_sp('N',T)+1*gibbs_sp('N',T) ) )*(corr*T)**-1
+ G[847] = lambda T: np.exp( -(-1*gibbs_sp('NH3',T)+1*gibbs_sp('NH2',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
+ G[849] = lambda T: np.exp( -(-1*gibbs_sp('NH3',T)+1*gibbs_sp('NH',T)+1*gibbs_sp('H',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-2
+ G[851] = lambda T: np.exp( -(-1*gibbs_sp('HCN',T)+1*gibbs_sp('H',T)+1*gibbs_sp('CN',T) ) )*(corr*T)**-1
+ G[853] = lambda T: np.exp( -(-1*gibbs_sp('NO',T)+1*gibbs_sp('N',T)+1*gibbs_sp('O',T) ) )*(corr*T)**-1
+ G[855] = lambda T: np.exp( -(-1*gibbs_sp('NO2',T)+1*gibbs_sp('NO',T)+1*gibbs_sp('O',T) ) )*(corr*T)**-1
+ G[857] = lambda T: np.exp( -(-1*gibbs_sp('N2H4',T)+1*gibbs_sp('N2H3',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
+ G[859] = lambda T: np.exp( -(-1*gibbs_sp('HNCO',T)+1*gibbs_sp('NH',T)+1*gibbs_sp('CO',T) ) )*(corr*T)**-1
+ G[861] = lambda T: np.exp( -(-1*gibbs_sp('HNCO',T)+1*gibbs_sp('H',T)+1*gibbs_sp('NCO',T) ) )*(corr*T)**-1
+ G[863] = lambda T: np.exp( -(-1*gibbs_sp('HO2',T)+1*gibbs_sp('O',T)+1*gibbs_sp('OH',T) ) )*(corr*T)**-1
+ G[865] = lambda T: np.exp( -(-1*gibbs_sp('O2',T)+1*gibbs_sp('O',T)+1*gibbs_sp('O',T) ) )*(corr*T)**-1
+ G[867] = lambda T: np.exp( -(-1*gibbs_sp('O2',T)+1*gibbs_sp('O',T)+1*gibbs_sp('O_1',T) ) )*(corr*T)**-1
+ G[869] = lambda T: np.exp( -(-1*gibbs_sp('C4H2',T)+1*gibbs_sp('C2H2',T)+1*gibbs_sp('C2',T) ) )*(corr*T)**-1
+ G[871] = lambda T: np.exp( -(-1*gibbs_sp('CH2',T)+1*gibbs_sp('CH',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
+ G[873] = lambda T: np.exp( -(-1*gibbs_sp('C6H6',T)+1*gibbs_sp('C6H5',T)+1*gibbs_sp('H',T) ) )*(corr*T)**-1
+ G[875] = lambda T: np.exp( -(-1*gibbs_sp('C6H6',T)+1*gibbs_sp('C3H3',T)+1*gibbs_sp('C3H3',T) ) )*(corr*T)**-1
+ G[877] = lambda T: np.exp( -(-1*gibbs_sp('HNO2',T)+1*gibbs_sp('NO',T)+1*gibbs_sp('OH',T) ) )*(corr*T)**-1
return G[i](T)
@@ -3225,352 +3467,372 @@ def symjac(y, M, k):
indx = []
for j in range(ni):
indx.append( np.arange(j,j+ni*nz,ni) )
- dfdy[indx[0], indx[0]] = -4*M*k[607]*y[:,0] - M*k[609]*y[:,4] - M*k[611]*y[:,2] - M*k[613]*y[:,5] - M*k[615]*y[:,8] - M*k[617]*y[:,11] - M*k[619]*y[:,13] - M*k[621]*y[:,14] - M*k[623]*y[:,15] - M*k[628]*y[:,6] - M*k[629]*y[:,7] - M*k[635]*y[:,12] - M*k[644]*y[:,20] - M*k[645]*y[:,17] - M*k[650]*y[:,20] - M*k[651]*y[:,19] - M*k[657]*y[:,21] - M*k[661]*y[:,33] - M*k[663]*y[:,30] - M*k[670]*y[:,37] - M*k[671]*y[:,31] - M*k[682]*y[:,34] - M*k[685]*y[:,32] - M*k[695]*y[:,25] - M*k[697]*y[:,56] - M*k[699]*y[:,59] - M*k[704]*y[:,10] - M*k[708]*y[:,28] - M*k[712]*y[:,38] - k[104]*y[:,17] - k[112]*y[:,17] - k[121]*y[:,19] - k[123]*y[:,20] - k[12]*y[:,8] - k[131]*y[:,21] - k[138]*y[:,20] - k[13]*y[:,9] - k[143]*y[:,23] - k[145]*y[:,23] - 4*k[148]*y[:,0]*y[:,17] - k[150]*y[:,20] - k[155]*y[:,23] - k[16]*y[:,10] - k[18]*y[:,11] - k[193]*y[:,24] - k[198]*y[:,25] - k[199]*y[:,22] - k[1]*y[:,1] - k[201]*y[:,26] - k[204]*y[:,26] - k[206]*y[:,27] - k[207]*y[:,27] - k[20]*y[:,11] - k[220]*y[:,30] - k[224]*y[:,31] - k[227]*y[:,32] - k[229]*y[:,29] - k[22]*y[:,11] - k[231]*y[:,33] - k[234]*y[:,31] - k[23]*y[:,13] - k[260]*y[:,32] - k[26]*y[:,14] - k[282]*y[:,34] - k[28]*y[:,14] - k[302]*y[:,30] - k[306]*y[:,35] - k[30]*y[:,14] - k[31]*y[:,15] - k[326]*y[:,37] - k[331]*y[:,37] - k[337]*y[:,39] - k[33]*y[:,15] - k[345]*y[:,38] - k[35]*y[:,16] - k[364]*y[:,42] - k[365]*y[:,42] - k[368]*y[:,42] - k[370]*y[:,36] - k[381]*y[:,40] - k[38]*y[:,18] - k[407]*y[:,44] - k[410]*y[:,44] - k[420]*y[:,45] - k[421]*y[:,46] - k[429]*y[:,48] - k[431]*y[:,47] - k[436]*y[:,46] - k[439]*y[:,39] - k[442]*y[:,20] - k[444]*y[:,49] - k[445]*y[:,49] - k[448]*y[:,41] - 4*k[44]*y[:,0]*y[:,11] - k[453]*y[:,41] - k[461]*y[:,50] - k[463]*y[:,50] - k[465]*y[:,50] - k[478]*y[:,51] - k[480]*y[:,51] - k[481]*y[:,42] - k[48]*y[:,13] - k[494]*y[:,41] - k[497]*y[:,52] - k[499]*y[:,52] - k[4]*y[:,2] - k[501]*y[:,52] - k[509]*y[:,53] - k[511]*y[:,53] - k[523]*y[:,36] - k[526]*y[:,54] - k[528]*y[:,54] - k[529]*y[:,55] - k[531]*y[:,55] - k[538]*y[:,57] - k[540]*y[:,57] - k[546]*y[:,56] - k[564]*y[:,54] - k[568]*y[:,58] - k[570]*y[:,59] - k[572]*y[:,59] - k[574]*y[:,58] - k[576]*y[:,2] - k[590]*y[:,8] - k[598]*y[:,58] - k[600]*y[:,29] - k[716]*y[:,51] - k[722]*y[:,2] - 4*k[726]*y[:,0]*y[:,4] - k[728]*y[:,8] - 4*k[732]*y[:,0]*y[:,61] - k[734]*y[:,3]*y[:,5] - k[738]*y[:,61] - 4*k[742]*y[:,0] - k[744]*y[:,12] - k[74]*y[:,12] - 4*k[752]*y[:,0]*y[:,11] - k[754]*y[:,13] - 4*k[758]*y[:,0]*y[:,14] - k[766]*y[:,4] - k[768]*y[:,17] - k[772]*y[:,21] - k[778]*y[:,22] - k[786]*y[:,33] - 4*k[788]*y[:,0]*y[:,29] - k[790]*y[:,30] - k[796]*y[:,39] - k[7]*y[:,5] - k[800]*y[:,51] - k[814]*y[:,5] - k[9]*y[:,7]
- dfdy[indx[0], indx[1]] = M*k[612] + k[146]*y[:,8] - k[1]*y[:,0] + k[441]*y[:,5] + k[466]*y[:,32] + k[500]*y[:,4] + k[512]*y[:,2] + k[721] + 2*k[725]
- dfdy[indx[0], indx[2]] = M*k[610] - M*k[611]*y[:,0] + k[111]*y[:,6] + k[122]*y[:,8] + k[149]*y[:,7] + k[197]*y[:,4] + k[228]*y[:,28] + k[2]*y[:,3] + k[367]*y[:,31] + k[37]*y[:,17] + k[408]*y[:,34] + k[447]*y[:,29] + k[462]*y[:,41] + k[479]*y[:,30] + 2*k[498]*y[:,2] - k[4]*y[:,0] + k[512]*y[:,1] - k[576]*y[:,0] - k[722]*y[:,0] + k[765]
- dfdy[indx[0], indx[3]] = 2*M*k[608] + k[10]*y[:,5] + k[11]*y[:,7] + k[124]*y[:,21] + k[132]*y[:,17] + k[144]*y[:,22] + k[14]*y[:,8] + k[156]*y[:,19] + k[19]*y[:,12] + k[200]*y[:,20] + k[230]*y[:,28] + k[232]*y[:,29] + k[233]*y[:,30] + k[24]*y[:,11] + k[25]*y[:,13] + k[2]*y[:,2] + k[305]*y[:,33] + k[332]*y[:,38] + k[338]*y[:,37] + k[346]*y[:,34] + k[34]*y[:,14] + k[36]*y[:,15] + k[382]*y[:,39] + k[3]*y[:,4] + k[422]*y[:,47] + k[430]*y[:,46] + k[432]*y[:,36] + k[446]*y[:,24] + k[454]*y[:,32] + k[464]*y[:,43] + k[482]*y[:,51] + k[502]*y[:,25] + k[510]*y[:,52] + k[524]*y[:,31] + k[532]*y[:,56] + k[575]*y[:,60] + k[589]*y[:,61] + k[599]*y[:,62] - k[734]*y[:,0]*y[:,5] + k[73]*y[:,10] + 2*k[741] + k[8]*y[:,6]
- dfdy[indx[0], indx[4]] = -M*k[609]*y[:,0] + k[103]*y[:,5] + k[137]*y[:,8] + 2*k[147]*y[:,7] + k[197]*y[:,2] + k[203]*y[:,13] + k[205]*y[:,11] + k[259]*y[:,29] + k[3]*y[:,3] + k[443]*y[:,15] + k[477]*y[:,31] + k[493]*y[:,33] + k[500]*y[:,1] - 2*k[726]*y[:,0]**2 - k[766]*y[:,0]
- dfdy[indx[0], indx[5]] = -M*k[613]*y[:,0] + M*k[627] + k[103]*y[:,4] + k[10]*y[:,3] + k[15]*y[:,6] + k[219]*y[:,28] + k[21]*y[:,7] + k[27]*y[:,9] + k[441]*y[:,1] + k[571]*y[:,11] - k[734]*y[:,0]*y[:,3] - k[7]*y[:,0] - k[814]*y[:,0]
- dfdy[indx[0], indx[6]] = -M*k[628]*y[:,0] + k[111]*y[:,2] + k[15]*y[:,5] + k[17]*y[:,8] + k[301]*y[:,29] + k[8]*y[:,3]
- dfdy[indx[0], indx[7]] = M*k[614] - M*k[629]*y[:,0] + k[11]*y[:,3] + 2*k[147]*y[:,4] + k[149]*y[:,2] + k[208]*y[:,17] + k[21]*y[:,5] + k[223]*y[:,28] + k[29]*y[:,8] + k[363]*y[:,32] + 4*k[43]*y[:,7] + 2*k[47]*y[:,7] + k[567]*y[:,11] + k[569]*y[:,12] + k[813] - k[9]*y[:,0]
- dfdy[indx[0], indx[8]] = -M*k[615]*y[:,0] + M*k[630] + k[122]*y[:,2] - k[12]*y[:,0] + k[137]*y[:,4] + k[146]*y[:,1] + k[14]*y[:,3] + k[17]*y[:,6] + k[194]*y[:,21] + k[202]*y[:,17] + k[29]*y[:,7] + 2*k[32]*y[:,8] + k[369]*y[:,28] + k[435]*y[:,33] + k[530]*y[:,31] + k[573]*y[:,12] - k[590]*y[:,0] - k[728]*y[:,0] + k[737]
- dfdy[indx[0], indx[9]] = M*k[616] - k[13]*y[:,0] + k[27]*y[:,5] + k[727] + 2*k[731] + k[733]
- dfdy[indx[0], indx[10]] = -M*k[704]*y[:,0] - k[16]*y[:,0] + k[73]*y[:,3]
- dfdy[indx[0], indx[11]] = -M*k[617]*y[:,0] + M*k[636] - k[18]*y[:,0] + k[205]*y[:,4] - k[20]*y[:,0] - k[22]*y[:,0] + k[24]*y[:,3] + k[419]*y[:,12] - 2*k[44]*y[:,0]**2 + k[525]*y[:,30] + k[567]*y[:,7] + k[571]*y[:,5] + k[597]*y[:,61] + k[743] - 2*k[752]*y[:,0]**2
- dfdy[indx[0], indx[12]] = -M*k[635]*y[:,0] + M*k[703] + k[19]*y[:,3] + k[419]*y[:,11] + k[527]*y[:,31] + k[569]*y[:,7] + k[573]*y[:,8] - k[744]*y[:,0] - k[74]*y[:,0]
- dfdy[indx[0], indx[13]] = M*k[618] - M*k[619]*y[:,0] + k[203]*y[:,4] - k[23]*y[:,0] + k[25]*y[:,3] - k[48]*y[:,0] + k[539]*y[:,31] + k[545]*y[:,28] - k[754]*y[:,0]
- dfdy[indx[0], indx[14]] = M*k[620] - M*k[621]*y[:,0] - k[26]*y[:,0] - k[28]*y[:,0] - k[30]*y[:,0] + k[34]*y[:,3] + k[537]*y[:,30] + 2*k[751] + k[753] - 2*k[758]*y[:,0]**2
- dfdy[indx[0], indx[15]] = M*k[622] - M*k[623]*y[:,0] - k[31]*y[:,0] - k[33]*y[:,0] + k[36]*y[:,3] + k[443]*y[:,4]
- dfdy[indx[0], indx[16]] = M*k[624] - k[35]*y[:,0] + 2*k[757]
- dfdy[indx[0], indx[17]] = -M*k[645]*y[:,0] - k[104]*y[:,0] - k[112]*y[:,0] + k[132]*y[:,3] - 2*k[148]*y[:,0]**2 + k[202]*y[:,8] + k[208]*y[:,7] + k[366]*y[:,33] + k[37]*y[:,2] - k[768]*y[:,0]
- dfdy[indx[0], indx[18]] = -k[38]*y[:,0]
- dfdy[indx[0], indx[19]] = M*k[643] - M*k[651]*y[:,0] - k[121]*y[:,0] + k[156]*y[:,3]
- dfdy[indx[0], indx[20]] = -M*k[644]*y[:,0] - M*k[650]*y[:,0] + M*k[658] - k[123]*y[:,0] - k[138]*y[:,0] - k[150]*y[:,0] + k[200]*y[:,3] - k[442]*y[:,0] + k[771]
- dfdy[indx[0], indx[21]] = M*k[646] - M*k[657]*y[:,0] + k[124]*y[:,3] - k[131]*y[:,0] + k[194]*y[:,8] + k[767] - k[772]*y[:,0]
- dfdy[indx[0], indx[22]] = M*k[649] + k[144]*y[:,3] - k[199]*y[:,0] - k[778]*y[:,0]
- dfdy[indx[0], indx[23]] = M*k[652] - k[143]*y[:,0] - k[145]*y[:,0] - k[155]*y[:,0] + k[777]
- dfdy[indx[0], indx[24]] = -k[193]*y[:,0] + k[446]*y[:,3]
- dfdy[indx[0], indx[25]] = -M*k[695]*y[:,0] - k[198]*y[:,0] + k[502]*y[:,3]
- dfdy[indx[0], indx[26]] = -k[201]*y[:,0] - k[204]*y[:,0]
- dfdy[indx[0], indx[27]] = -k[206]*y[:,0] - k[207]*y[:,0]
- dfdy[indx[0], indx[28]] = -M*k[708]*y[:,0] + k[219]*y[:,5] + k[223]*y[:,7] + k[228]*y[:,2] + k[230]*y[:,3] + k[281]*y[:,29] + k[369]*y[:,8] + k[545]*y[:,13] + k[563]*y[:,59]
- dfdy[indx[0], indx[29]] = M*k[707] - k[229]*y[:,0] + k[232]*y[:,3] + k[259]*y[:,4] + k[281]*y[:,28] + k[301]*y[:,6] + k[325]*y[:,33] + k[409]*y[:,32] + k[447]*y[:,2] - k[600]*y[:,0] - 2*k[788]*y[:,0]**2
- dfdy[indx[0], indx[30]] = -M*k[663]*y[:,0] - k[220]*y[:,0] + k[233]*y[:,3] - k[302]*y[:,0] + k[479]*y[:,2] + k[525]*y[:,11] + k[537]*y[:,14] - k[790]*y[:,0]
- dfdy[indx[0], indx[31]] = M*k[664] - M*k[671]*y[:,0] - k[224]*y[:,0] - k[234]*y[:,0] + k[367]*y[:,2] + k[477]*y[:,4] + k[524]*y[:,3] + k[527]*y[:,12] + k[530]*y[:,8] + k[539]*y[:,13] + k[789]
- dfdy[indx[0], indx[32]] = -M*k[685]*y[:,0] - k[227]*y[:,0] - k[260]*y[:,0] + k[363]*y[:,7] + k[409]*y[:,29] + k[454]*y[:,3] + k[466]*y[:,1]
- dfdy[indx[0], indx[33]] = -M*k[661]*y[:,0] - k[231]*y[:,0] + k[305]*y[:,3] + k[325]*y[:,29] + k[366]*y[:,17] + k[435]*y[:,8] + 2*k[440]*y[:,33] + k[493]*y[:,4] - k[786]*y[:,0]
- dfdy[indx[0], indx[34]] = -M*k[682]*y[:,0] - k[282]*y[:,0] + k[346]*y[:,3] + k[408]*y[:,2]
- dfdy[indx[0], indx[35]] = M*k[662] - k[306]*y[:,0] + k[785] + 2*k[787]
- dfdy[indx[0], indx[36]] = M*k[672] - k[370]*y[:,0] + k[432]*y[:,3] - k[523]*y[:,0]
- dfdy[indx[0], indx[37]] = -M*k[670]*y[:,0] + M*k[711] - k[326]*y[:,0] - k[331]*y[:,0] + k[338]*y[:,3]
- dfdy[indx[0], indx[38]] = M*k[681] - M*k[712]*y[:,0] + k[332]*y[:,3] - k[345]*y[:,0]
- dfdy[indx[0], indx[39]] = M*k[669] - k[337]*y[:,0] + k[382]*y[:,3] - k[439]*y[:,0] - k[796]*y[:,0]
- dfdy[indx[0], indx[40]] = -k[381]*y[:,0] + k[795]
- dfdy[indx[0], indx[41]] = M*k[686] - k[448]*y[:,0] - k[453]*y[:,0] + k[462]*y[:,2] - k[494]*y[:,0]
- dfdy[indx[0], indx[42]] = M*k[715] - k[364]*y[:,0] - k[365]*y[:,0] - k[368]*y[:,0] - k[481]*y[:,0] + k[799]
- dfdy[indx[0], indx[43]] = k[464]*y[:,3]
- dfdy[indx[0], indx[44]] = -k[407]*y[:,0] - k[410]*y[:,0]
- dfdy[indx[0], indx[45]] = -k[420]*y[:,0]
- dfdy[indx[0], indx[46]] = -k[421]*y[:,0] + k[430]*y[:,3] - k[436]*y[:,0]
- dfdy[indx[0], indx[47]] = k[422]*y[:,3] - k[431]*y[:,0]
- dfdy[indx[0], indx[48]] = -k[429]*y[:,0]
- dfdy[indx[0], indx[49]] = -k[444]*y[:,0] - k[445]*y[:,0]
- dfdy[indx[0], indx[50]] = -k[461]*y[:,0] - k[463]*y[:,0] - k[465]*y[:,0]
- dfdy[indx[0], indx[51]] = -k[478]*y[:,0] - k[480]*y[:,0] + k[482]*y[:,3] - k[716]*y[:,0] - k[800]*y[:,0]
- dfdy[indx[0], indx[52]] = M*k[696] - k[497]*y[:,0] - k[499]*y[:,0] - k[501]*y[:,0] + k[510]*y[:,3]
- dfdy[indx[0], indx[53]] = -k[509]*y[:,0] - k[511]*y[:,0]
- dfdy[indx[0], indx[54]] = -k[526]*y[:,0] - k[528]*y[:,0] - k[564]*y[:,0]
- dfdy[indx[0], indx[55]] = M*k[698] - k[529]*y[:,0] - k[531]*y[:,0]
- dfdy[indx[0], indx[56]] = -M*k[697]*y[:,0] + k[532]*y[:,3] - k[546]*y[:,0]
- dfdy[indx[0], indx[57]] = -k[538]*y[:,0] - k[540]*y[:,0]
- dfdy[indx[0], indx[58]] = M*k[700] - k[568]*y[:,0] - k[574]*y[:,0] - k[598]*y[:,0]
- dfdy[indx[0], indx[59]] = -M*k[699]*y[:,0] + k[563]*y[:,28] - k[570]*y[:,0] - k[572]*y[:,0]
- dfdy[indx[0], indx[60]] = k[575]*y[:,3]
- dfdy[indx[0], indx[61]] = k[589]*y[:,3] + k[597]*y[:,11] - 2*k[732]*y[:,0]**2 - k[738]*y[:,0]
- dfdy[indx[0], indx[62]] = k[599]*y[:,3]
+ dfdy[indx[0], indx[0]] = -M*k[660] - M*k[661]*y[:,3] - M*k[703]*y[:,11] - M*k[737]*y[:,32] - 4*M*k[743]*y[:,0] - M*k[781]*y[:,8] - k[102]*y[:,6] - k[106]*y[:,7] - k[107]*y[:,8] - k[110]*y[:,15] - k[111]*y[:,6] - k[113]*y[:,7] - k[115]*y[:,9] - k[117]*y[:,13] - k[119]*y[:,15] - k[122]*y[:,8] - k[133]*y[:,21] - k[140]*y[:,20] - k[141]*y[:,22] - k[149]*y[:,7] - k[168]*y[:,11] - k[178]*y[:,14] - k[197]*y[:,4] - k[1]*y[:,1] - k[210]*y[:,21] - k[227]*y[:,28] - k[258]*y[:,28] - k[262]*y[:,33] - k[263]*y[:,29] - k[265]*y[:,30] - k[267]*y[:,31] - k[269]*y[:,31] - k[271]*y[:,29] - k[273]*y[:,33] - k[296]*y[:,34] - k[311]*y[:,35] - k[333]*y[:,36] - k[338]*y[:,36] - k[339]*y[:,38] - k[345]*y[:,37] - k[348]*y[:,34] - k[352]*y[:,37] - k[356]*y[:,37] - k[359]*y[:,41] - k[365]*y[:,31] - k[378]*y[:,41] - k[37]*y[:,17] - k[388]*y[:,20] - k[396]*y[:,32] - k[400]*y[:,40] - k[406]*y[:,34] - k[425]*y[:,46] - k[445]*y[:,29] - k[447]*y[:,40] - k[450]*y[:,32] - k[457]*y[:,50] - k[460]*y[:,40] - k[477]*y[:,30] - k[482]*y[:,51] - k[483]*y[:,42] - 4*k[496]*y[:,0] - k[4]*y[:,3] - k[502]*y[:,18] - k[504]*y[:,52] - k[505]*y[:,53] - k[510]*y[:,2] - k[512]*y[:,25] - k[519]*y[:,52] - k[531]*y[:,55] - k[534]*y[:,56] - k[53]*y[:,8] - k[557]*y[:,58] - k[55]*y[:,12] - k[560]*y[:,58] - k[599]*y[:,23] - k[601]*y[:,23] - k[604]*y[:,43] - k[616]*y[:,15] - k[618]*y[:,3] - k[620]*y[:,8] - 4*k[622]*y[:,0] - k[626]*y[:,33] - k[646]*y[:,29] - k[653]*y[:,8] - 4*k[6]*y[:,0] - k[71]*y[:,11] - k[784]*y[:,3] - k[827] - k[836]*y[:,8] - k[83]*y[:,12] - k[864]*y[:,4] - k[86]*y[:,11] - k[878]*y[:,32] - k[93]*y[:,14] - k[99]*y[:,16]
+ dfdy[indx[0], indx[1]] = -k[1]*y[:,0] + k[3]*y[:,4] + k[617]*y[:,65]
+ dfdy[indx[0], indx[2]] = M*k[662] + k[100]*y[:,15] + k[114]*y[:,5] + k[116]*y[:,8] + k[118]*y[:,11] + k[120]*y[:,14] + k[134]*y[:,17] + k[142]*y[:,20] + k[264]*y[:,28] + k[268]*y[:,30] + k[274]*y[:,29] + k[2]*y[:,3] + k[312]*y[:,33] + k[334]*y[:,37] + k[340]*y[:,36] + k[346]*y[:,34] + k[360]*y[:,31] + k[448]*y[:,32] + k[458]*y[:,43] + k[484]*y[:,51] + k[506]*y[:,52] - k[510]*y[:,0] + k[520]*y[:,25] + k[532]*y[:,56] + k[54]*y[:,7] + 2*k[5]*y[:,4] + k[600]*y[:,22] + k[602]*y[:,19] + 2*k[621]*y[:,65] + k[645]*y[:,67] + k[654]*y[:,66] + k[783] + k[85]*y[:,12] + k[94]*y[:,13]
+ dfdy[indx[0], indx[3]] = M*k[659]*y[:,4] - M*k[661]*y[:,0] + k[112]*y[:,17] + k[121]*y[:,19] + k[150]*y[:,20] + k[198]*y[:,25] + k[228]*y[:,32] + k[2]*y[:,2] + k[366]*y[:,42] + k[38]*y[:,18] + k[405]*y[:,44] + k[446]*y[:,40] + k[459]*y[:,50] + k[478]*y[:,51] + 2*k[495]*y[:,52] - k[4]*y[:,0] + k[509]*y[:,53] - k[618]*y[:,0] - k[784]*y[:,0] + k[828]*y[:,4]
+ dfdy[indx[0], indx[4]] = M*k[659]*y[:,3] + k[101]*y[:,5] + k[105]*y[:,8] + k[108]*y[:,9] + k[109]*y[:,16] + k[139]*y[:,22] + k[167]*y[:,13] - k[197]*y[:,0] + k[209]*y[:,20] + k[257]*y[:,29] + k[261]*y[:,35] + k[266]*y[:,31] + k[272]*y[:,33] + k[337]*y[:,38] + k[347]*y[:,37] + k[355]*y[:,36] + k[3]*y[:,1] + k[449]*y[:,40] + k[481]*y[:,42] + k[503]*y[:,53] + k[511]*y[:,52] + k[533]*y[:,55] + 2*k[5]*y[:,2] + k[828]*y[:,3] + k[84]*y[:,11] - k[864]*y[:,0]
+ dfdy[indx[0], indx[5]] = k[101]*y[:,4] + k[114]*y[:,2]
+ dfdy[indx[0], indx[6]] = -k[102]*y[:,0] - k[111]*y[:,0]
+ dfdy[indx[0], indx[7]] = -k[106]*y[:,0] - k[113]*y[:,0] - k[149]*y[:,0] + k[177]*y[:,19] + k[54]*y[:,2] + k[56]*y[:,17]
+ dfdy[indx[0], indx[8]] = -M*k[781]*y[:,0] + k[105]*y[:,4] - k[107]*y[:,0] + k[116]*y[:,2] - k[122]*y[:,0] + k[377]*y[:,32] + k[387]*y[:,25] - k[53]*y[:,0] - k[620]*y[:,0] - k[653]*y[:,0] + k[72]*y[:,17] - k[836]*y[:,0]
+ dfdy[indx[0], indx[9]] = k[108]*y[:,4] - k[115]*y[:,0] + k[619]*y[:,65]
+ dfdy[indx[0], indx[10]] = 0
+ dfdy[indx[0], indx[11]] = -M*k[703]*y[:,0] + k[118]*y[:,2] - k[168]*y[:,0] - k[71]*y[:,0] + k[84]*y[:,4] - k[86]*y[:,0]
+ dfdy[indx[0], indx[12]] = k[559]*y[:,19] - k[55]*y[:,0] - k[83]*y[:,0] + k[85]*y[:,2]
+ dfdy[indx[0], indx[13]] = -k[117]*y[:,0] + k[167]*y[:,4] + k[558]*y[:,21] + k[94]*y[:,2]
+ dfdy[indx[0], indx[14]] = k[120]*y[:,2] - k[178]*y[:,0] - k[93]*y[:,0]
+ dfdy[indx[0], indx[15]] = k[100]*y[:,2] - k[110]*y[:,0] - k[119]*y[:,0] - k[616]*y[:,0]
+ dfdy[indx[0], indx[16]] = k[109]*y[:,4] + k[615]*y[:,65] - k[99]*y[:,0]
+ dfdy[indx[0], indx[17]] = k[112]*y[:,3] + k[134]*y[:,2] + k[270]*y[:,33] - k[37]*y[:,0] + k[501]*y[:,52] + k[56]*y[:,7] + k[72]*y[:,8]
+ dfdy[indx[0], indx[18]] = k[38]*y[:,3] - k[502]*y[:,0]
+ dfdy[indx[0], indx[19]] = k[121]*y[:,3] + k[177]*y[:,7] + k[426]*y[:,33] + k[559]*y[:,12] + k[602]*y[:,2]
+ dfdy[indx[0], indx[20]] = -k[140]*y[:,0] + k[142]*y[:,2] + k[150]*y[:,3] + k[209]*y[:,4] - k[388]*y[:,0]
+ dfdy[indx[0], indx[21]] = -k[133]*y[:,0] - k[210]*y[:,0] + k[558]*y[:,13]
+ dfdy[indx[0], indx[22]] = k[139]*y[:,4] - k[141]*y[:,0] + k[600]*y[:,2]
+ dfdy[indx[0], indx[23]] = M*k[782] - k[599]*y[:,0] - k[601]*y[:,0] + k[835]
+ dfdy[indx[0], indx[24]] = M*k[704]
+ dfdy[indx[0], indx[25]] = k[198]*y[:,3] + k[387]*y[:,8] + k[395]*y[:,29] + k[399]*y[:,33] - k[512]*y[:,0] + k[520]*y[:,2]
+ dfdy[indx[0], indx[26]] = 0
+ dfdy[indx[0], indx[27]] = 0
+ dfdy[indx[0], indx[28]] = -k[227]*y[:,0] - k[258]*y[:,0] + k[264]*y[:,2]
+ dfdy[indx[0], indx[29]] = k[257]*y[:,4] - k[263]*y[:,0] - k[271]*y[:,0] + k[274]*y[:,2] + k[295]*y[:,32] + k[395]*y[:,25] - k[445]*y[:,0] - k[646]*y[:,0]
+ dfdy[indx[0], indx[30]] = -k[265]*y[:,0] + k[268]*y[:,2] - k[477]*y[:,0]
+ dfdy[indx[0], indx[31]] = k[266]*y[:,4] - k[267]*y[:,0] - k[269]*y[:,0] + k[360]*y[:,2] - k[365]*y[:,0]
+ dfdy[indx[0], indx[32]] = -M*k[737]*y[:,0] + k[228]*y[:,3] + k[295]*y[:,29] + k[351]*y[:,33] + k[377]*y[:,8] - k[396]*y[:,0] + k[448]*y[:,2] - k[450]*y[:,0] + k[603]*y[:,52] - k[878]*y[:,0]
+ dfdy[indx[0], indx[33]] = -k[262]*y[:,0] + k[270]*y[:,17] + k[272]*y[:,4] - k[273]*y[:,0] + k[312]*y[:,2] + k[351]*y[:,32] + k[399]*y[:,25] + k[426]*y[:,19] - k[626]*y[:,0]
+ dfdy[indx[0], indx[34]] = -k[296]*y[:,0] + k[346]*y[:,2] - k[348]*y[:,0] - k[406]*y[:,0]
+ dfdy[indx[0], indx[35]] = k[261]*y[:,4] - k[311]*y[:,0] + k[625]*y[:,65]
+ dfdy[indx[0], indx[36]] = -k[333]*y[:,0] - k[338]*y[:,0] + k[340]*y[:,2] + k[355]*y[:,4]
+ dfdy[indx[0], indx[37]] = k[334]*y[:,2] - k[345]*y[:,0] + k[347]*y[:,4] - k[352]*y[:,0] - k[356]*y[:,0]
+ dfdy[indx[0], indx[38]] = k[337]*y[:,4] - k[339]*y[:,0]
+ dfdy[indx[0], indx[39]] = 0
+ dfdy[indx[0], indx[40]] = -k[400]*y[:,0] + k[446]*y[:,3] - k[447]*y[:,0] + k[449]*y[:,4] - k[460]*y[:,0]
+ dfdy[indx[0], indx[41]] = -k[359]*y[:,0] - k[378]*y[:,0]
+ dfdy[indx[0], indx[42]] = k[366]*y[:,3] + k[481]*y[:,4] - k[483]*y[:,0]
+ dfdy[indx[0], indx[43]] = k[458]*y[:,2] - k[604]*y[:,0]
+ dfdy[indx[0], indx[44]] = k[405]*y[:,3]
+ dfdy[indx[0], indx[45]] = 0
+ dfdy[indx[0], indx[46]] = -k[425]*y[:,0]
+ dfdy[indx[0], indx[47]] = 0
+ dfdy[indx[0], indx[48]] = 0
+ dfdy[indx[0], indx[49]] = 0
+ dfdy[indx[0], indx[50]] = M*k[738] - k[457]*y[:,0] + k[459]*y[:,3] + k[877]
+ dfdy[indx[0], indx[51]] = k[478]*y[:,3] - k[482]*y[:,0] + k[484]*y[:,2]
+ dfdy[indx[0], indx[52]] = 2*k[495]*y[:,3] + k[501]*y[:,17] - k[504]*y[:,0] + k[506]*y[:,2] + k[511]*y[:,4] - k[519]*y[:,0] + k[603]*y[:,32] + k[863]
+ dfdy[indx[0], indx[53]] = 2*M*k[744] + k[503]*y[:,4] - k[505]*y[:,0] + k[509]*y[:,3]
+ dfdy[indx[0], indx[54]] = 0
+ dfdy[indx[0], indx[55]] = -k[531]*y[:,0] + k[533]*y[:,4]
+ dfdy[indx[0], indx[56]] = k[532]*y[:,2] - k[534]*y[:,0]
+ dfdy[indx[0], indx[57]] = 0
+ dfdy[indx[0], indx[58]] = -k[557]*y[:,0] - k[560]*y[:,0]
+ dfdy[indx[0], indx[59]] = 0
+ dfdy[indx[0], indx[60]] = 0
+ dfdy[indx[0], indx[61]] = 0
+ dfdy[indx[0], indx[62]] = 0
dfdy[indx[0], indx[63]] = 0
dfdy[indx[0], indx[64]] = 0
- dfdy[indx[1], indx[0]] = M*k[611]*y[:,2] + k[145]*y[:,23] - k[1]*y[:,1] + k[442]*y[:,20] + k[465]*y[:,50] + k[499]*y[:,52] + k[511]*y[:,53] + k[722]*y[:,2] + 2*k[726]*y[:,0]*y[:,4]
- dfdy[indx[1], indx[1]] = -M*k[612] - M*k[647]*y[:,5] - k[100]*y[:,15] - k[114]*y[:,5] - k[116]*y[:,8] - k[118]*y[:,11] - k[120]*y[:,14] - k[134]*y[:,17] - k[142]*y[:,20] - k[146]*y[:,8] - k[1]*y[:,0] - k[264]*y[:,28] - k[268]*y[:,30] - k[274]*y[:,29] - k[294]*y[:,31] - k[298]*y[:,34] - k[311]*y[:,33] - k[336]*y[:,38] - k[342]*y[:,37] - k[348]*y[:,34] - k[362]*y[:,31] - k[388]*y[:,17] - k[412]*y[:,44] - k[414]*y[:,44] - k[441]*y[:,5] - k[450]*y[:,32] - k[460]*y[:,43] - k[466]*y[:,32] - k[486]*y[:,51] - k[496]*y[:,29] - k[500]*y[:,4] - k[508]*y[:,52] - k[512]*y[:,2] - k[522]*y[:,25] - k[534]*y[:,56] - k[54]*y[:,7] - k[579]*y[:,60] - k[5]*y[:,4] - k[601]*y[:,62] - k[721] - k[723] - k[725] - k[85]*y[:,12] - k[94]*y[:,13]
- dfdy[indx[1], indx[2]] = M*k[611]*y[:,0] + k[113]*y[:,7] + k[115]*y[:,9] + k[117]*y[:,13] + k[119]*y[:,15] + k[133]*y[:,21] + k[141]*y[:,22] + k[263]*y[:,29] + k[267]*y[:,31] + k[273]*y[:,33] + k[2]*y[:,3] + k[312]*y[:,35] + k[335]*y[:,37] + k[341]*y[:,39] + k[347]*y[:,38] + k[361]*y[:,36] + k[449]*y[:,41] + k[459]*y[:,50] + k[485]*y[:,42] + k[507]*y[:,53] - k[512]*y[:,1] + k[521]*y[:,52] + k[533]*y[:,55] + k[53]*y[:,8] + 2*k[580]*y[:,2] + k[602]*y[:,29] + 2*k[6]*y[:,2] + k[722]*y[:,0] + k[86]*y[:,11] + k[93]*y[:,14] + k[99]*y[:,16]
- dfdy[indx[1], indx[3]] = k[2]*y[:,2] + k[495]*y[:,41] + k[724]*y[:,60]
- dfdy[indx[1], indx[4]] = -k[500]*y[:,1] - k[5]*y[:,1] + k[726]*y[:,0]**2
- dfdy[indx[1], indx[5]] = -M*k[647]*y[:,1] - k[114]*y[:,1] - k[441]*y[:,1]
- dfdy[indx[1], indx[6]] = 0
- dfdy[indx[1], indx[7]] = k[113]*y[:,2] + k[387]*y[:,25] - k[54]*y[:,1]
- dfdy[indx[1], indx[8]] = -k[116]*y[:,1] - k[146]*y[:,1] + k[293]*y[:,32] + k[53]*y[:,2]
- dfdy[indx[1], indx[9]] = k[115]*y[:,2]
- dfdy[indx[1], indx[10]] = 0
- dfdy[indx[1], indx[11]] = -k[118]*y[:,1] + k[86]*y[:,2]
- dfdy[indx[1], indx[12]] = -k[85]*y[:,1]
- dfdy[indx[1], indx[13]] = k[117]*y[:,2] - k[94]*y[:,1]
- dfdy[indx[1], indx[14]] = -k[120]*y[:,1] + k[93]*y[:,2]
- dfdy[indx[1], indx[15]] = -k[100]*y[:,1] + k[119]*y[:,2]
- dfdy[indx[1], indx[16]] = k[99]*y[:,2]
- dfdy[indx[1], indx[17]] = -k[134]*y[:,1] - k[388]*y[:,1]
+ dfdy[indx[0], indx[65]] = k[615]*y[:,16] + k[617]*y[:,1] + k[619]*y[:,9] + 2*k[621]*y[:,2] + k[625]*y[:,35]
+ dfdy[indx[0], indx[66]] = k[654]*y[:,2]
+ dfdy[indx[0], indx[67]] = k[645]*y[:,2]
+ dfdy[indx[0], indx[68]] = 0
+ dfdy[indx[1], indx[0]] = -k[1]*y[:,1] + k[4]*y[:,3] + k[618]*y[:,3]
+ dfdy[indx[1], indx[1]] = -M*k[658] - M*k[675]*y[:,6] - M*k[681]*y[:,5] - M*k[688]*y[:,11] - M*k[690]*y[:,14] - M*k[709]*y[:,17] - M*k[715]*y[:,28] - k[10]*y[:,5] - k[11]*y[:,7] - k[124]*y[:,21] - k[132]*y[:,17] - k[144]*y[:,22] - k[14]*y[:,8] - k[156]*y[:,19] - k[174]*y[:,17] - k[19]*y[:,12] - k[1]*y[:,0] - k[200]*y[:,20] - k[230]*y[:,28] - k[232]*y[:,29] - k[233]*y[:,30] - k[24]*y[:,11] - k[25]*y[:,13] - k[304]*y[:,34] - k[305]*y[:,33] - k[310]*y[:,32] - k[330]*y[:,37] - k[336]*y[:,36] - k[344]*y[:,34] - k[34]*y[:,14] - k[36]*y[:,15] - k[370]*y[:,31] - k[376]*y[:,36] - k[380]*y[:,38] - k[3]*y[:,4] - k[40]*y[:,11] - k[420]*y[:,47] - k[428]*y[:,46] - k[430]*y[:,41] - k[432]*y[:,47] - k[444]*y[:,24] - k[452]*y[:,32] - k[462]*y[:,43] - k[480]*y[:,51] - k[493]*y[:,40] - k[500]*y[:,25] - k[508]*y[:,52] - k[522]*y[:,31] - k[530]*y[:,56] - k[552]*y[:,37] - k[562]*y[:,54] - k[566]*y[:,59] - k[576]*y[:,38] - k[589]*y[:,64] - k[617]*y[:,65] - k[633]*y[:,66] - k[643]*y[:,67] - k[73]*y[:,10] - k[786]*y[:,65] - k[792]*y[:,66] - k[796]*y[:,3]*y[:,5] - k[798]*y[:,5] - k[803] - k[812]*y[:,11] - k[818]*y[:,14] - 4*k[822]*y[:,11]*y[:,1] - k[832]*y[:,17] - k[838]*y[:,20] - k[8]*y[:,6]
+ dfdy[indx[1], indx[2]] = k[2]*y[:,3] + k[494]*y[:,29] + k[785]
+ dfdy[indx[1], indx[3]] = 2*M*k[657]*y[:,3] + k[123]*y[:,20] + k[12]*y[:,8] + k[131]*y[:,21] + k[13]*y[:,9] + k[143]*y[:,23] + k[155]*y[:,23] + k[199]*y[:,22] + k[20]*y[:,11] + k[229]*y[:,29] + k[231]*y[:,33] + k[234]*y[:,31] + k[23]*y[:,13] + k[26]*y[:,14] + k[2]*y[:,2] + k[306]*y[:,35] + k[329]*y[:,36] + k[335]*y[:,38] + k[33]*y[:,15] + k[343]*y[:,37] + k[35]*y[:,16] + k[379]*y[:,39] + k[419]*y[:,46] + k[427]*y[:,48] + k[429]*y[:,47] + k[443]*y[:,49] + k[451]*y[:,40] + k[461]*y[:,50] + k[479]*y[:,42] + k[499]*y[:,52] + k[4]*y[:,0] + k[507]*y[:,53] + k[521]*y[:,41] + k[529]*y[:,55] + k[590]*y[:,63] + k[618]*y[:,0] + k[634]*y[:,8] + k[644]*y[:,29] + k[74]*y[:,12] - k[796]*y[:,1]*y[:,5] + k[7]*y[:,5] + 2*k[804]*y[:,3] + k[9]*y[:,7]
+ dfdy[indx[1], indx[4]] = k[173]*y[:,7] + k[309]*y[:,33] - k[3]*y[:,1]
+ dfdy[indx[1], indx[5]] = -M*k[681]*y[:,1] - k[10]*y[:,1] + k[39]*y[:,8] - k[796]*y[:,1]*y[:,3] - k[798]*y[:,1] + k[7]*y[:,3]
+ dfdy[indx[1], indx[6]] = -M*k[675]*y[:,1] - k[8]*y[:,1]
+ dfdy[indx[1], indx[7]] = M*k[676] - k[11]*y[:,1] + k[173]*y[:,4] + k[565]*y[:,11] + k[9]*y[:,3]
+ dfdy[indx[1], indx[8]] = M*k[682] + k[12]*y[:,3] - k[14]*y[:,1] + k[369]*y[:,28] + k[39]*y[:,5] + k[431]*y[:,33] + k[634]*y[:,3] + k[797]
+ dfdy[indx[1], indx[9]] = k[13]*y[:,3] + k[791] + k[795]
+ dfdy[indx[1], indx[10]] = -k[73]*y[:,1]
+ dfdy[indx[1], indx[11]] = -M*k[688]*y[:,1] + k[20]*y[:,3] - k[24]*y[:,1] - k[40]*y[:,1] + k[565]*y[:,7] - k[812]*y[:,1] - 2*k[822]*y[:,1]**2
+ dfdy[indx[1], indx[12]] = -k[19]*y[:,1] + k[74]*y[:,3]
+ dfdy[indx[1], indx[13]] = k[23]*y[:,3] - k[25]*y[:,1]
+ dfdy[indx[1], indx[14]] = M*k[687] - M*k[690]*y[:,1] + k[26]*y[:,3] - k[34]*y[:,1] + k[811] - k[818]*y[:,1]
+ dfdy[indx[1], indx[15]] = k[33]*y[:,3] - k[36]*y[:,1]
+ dfdy[indx[1], indx[16]] = M*k[689] + k[35]*y[:,3] + k[817] + 2*k[821]
+ dfdy[indx[1], indx[17]] = -M*k[709]*y[:,1] - k[132]*y[:,1] - k[174]*y[:,1] - k[832]*y[:,1]
dfdy[indx[1], indx[18]] = 0
- dfdy[indx[1], indx[19]] = M*k[648]
- dfdy[indx[1], indx[20]] = -k[142]*y[:,1] + k[442]*y[:,0]
- dfdy[indx[1], indx[21]] = k[133]*y[:,2]
- dfdy[indx[1], indx[22]] = k[141]*y[:,2]
- dfdy[indx[1], indx[23]] = k[145]*y[:,0]
- dfdy[indx[1], indx[24]] = 0
- dfdy[indx[1], indx[25]] = k[387]*y[:,7] - k[522]*y[:,1]
+ dfdy[indx[1], indx[19]] = -k[156]*y[:,1]
+ dfdy[indx[1], indx[20]] = M*k[710] + k[123]*y[:,3] - k[200]*y[:,1] + k[831] - k[838]*y[:,1]
+ dfdy[indx[1], indx[21]] = -k[124]*y[:,1] + k[131]*y[:,3]
+ dfdy[indx[1], indx[22]] = -k[144]*y[:,1] + k[199]*y[:,3]
+ dfdy[indx[1], indx[23]] = k[143]*y[:,3] + k[155]*y[:,3] + k[837]
+ dfdy[indx[1], indx[24]] = -k[444]*y[:,1]
+ dfdy[indx[1], indx[25]] = -k[500]*y[:,1]
dfdy[indx[1], indx[26]] = 0
dfdy[indx[1], indx[27]] = 0
- dfdy[indx[1], indx[28]] = -k[264]*y[:,1]
- dfdy[indx[1], indx[29]] = k[263]*y[:,2] - k[274]*y[:,1] - k[496]*y[:,1] + k[602]*y[:,2]
- dfdy[indx[1], indx[30]] = -k[268]*y[:,1]
- dfdy[indx[1], indx[31]] = k[267]*y[:,2] - k[294]*y[:,1] - k[362]*y[:,1]
- dfdy[indx[1], indx[32]] = k[293]*y[:,8] + k[297]*y[:,33] - k[450]*y[:,1] - k[466]*y[:,1]
- dfdy[indx[1], indx[33]] = k[273]*y[:,2] + k[297]*y[:,32] - k[311]*y[:,1] + k[411]*y[:,43]
- dfdy[indx[1], indx[34]] = -k[298]*y[:,1] - k[348]*y[:,1]
- dfdy[indx[1], indx[35]] = k[312]*y[:,2]
- dfdy[indx[1], indx[36]] = k[361]*y[:,2]
- dfdy[indx[1], indx[37]] = k[335]*y[:,2] - k[342]*y[:,1]
- dfdy[indx[1], indx[38]] = -k[336]*y[:,1] + k[347]*y[:,2]
- dfdy[indx[1], indx[39]] = k[341]*y[:,2]
- dfdy[indx[1], indx[40]] = 0
- dfdy[indx[1], indx[41]] = 2*k[413]*y[:,41] + k[449]*y[:,2] + k[495]*y[:,3]
- dfdy[indx[1], indx[42]] = k[485]*y[:,2]
- dfdy[indx[1], indx[43]] = k[411]*y[:,33] - k[460]*y[:,1]
- dfdy[indx[1], indx[44]] = -k[412]*y[:,1] - k[414]*y[:,1]
+ dfdy[indx[1], indx[28]] = -M*k[715]*y[:,1] - k[230]*y[:,1] + k[369]*y[:,8] + k[551]*y[:,35] + k[561]*y[:,58]
+ dfdy[indx[1], indx[29]] = k[229]*y[:,3] - k[232]*y[:,1] + 2*k[303]*y[:,29] + k[494]*y[:,2] + k[644]*y[:,3]
+ dfdy[indx[1], indx[30]] = -k[233]*y[:,1]
+ dfdy[indx[1], indx[31]] = k[234]*y[:,3] - k[370]*y[:,1] - k[522]*y[:,1]
+ dfdy[indx[1], indx[32]] = -k[310]*y[:,1] - k[452]*y[:,1]
+ dfdy[indx[1], indx[33]] = M*k[716] + k[231]*y[:,3] - k[305]*y[:,1] + k[309]*y[:,4] + 2*k[375]*y[:,33] + k[431]*y[:,8] + k[575]*y[:,35]
+ dfdy[indx[1], indx[34]] = -k[304]*y[:,1] - k[344]*y[:,1]
+ dfdy[indx[1], indx[35]] = k[306]*y[:,3] + k[551]*y[:,28] + k[575]*y[:,33]
+ dfdy[indx[1], indx[36]] = k[329]*y[:,3] - k[336]*y[:,1] - k[376]*y[:,1]
+ dfdy[indx[1], indx[37]] = -k[330]*y[:,1] + k[343]*y[:,3] - k[552]*y[:,1]
+ dfdy[indx[1], indx[38]] = k[335]*y[:,3] - k[380]*y[:,1] - k[576]*y[:,1]
+ dfdy[indx[1], indx[39]] = k[379]*y[:,3]
+ dfdy[indx[1], indx[40]] = k[451]*y[:,3] - k[493]*y[:,1]
+ dfdy[indx[1], indx[41]] = -k[430]*y[:,1] + k[521]*y[:,3]
+ dfdy[indx[1], indx[42]] = k[479]*y[:,3]
+ dfdy[indx[1], indx[43]] = -k[462]*y[:,1]
+ dfdy[indx[1], indx[44]] = 0
dfdy[indx[1], indx[45]] = 0
- dfdy[indx[1], indx[46]] = 0
- dfdy[indx[1], indx[47]] = 0
- dfdy[indx[1], indx[48]] = 0
- dfdy[indx[1], indx[49]] = 0
- dfdy[indx[1], indx[50]] = k[459]*y[:,2] + k[465]*y[:,0]
- dfdy[indx[1], indx[51]] = -k[486]*y[:,1]
- dfdy[indx[1], indx[52]] = k[499]*y[:,0] - k[508]*y[:,1] + k[521]*y[:,2]
- dfdy[indx[1], indx[53]] = k[507]*y[:,2] + k[511]*y[:,0]
- dfdy[indx[1], indx[54]] = 0
- dfdy[indx[1], indx[55]] = k[533]*y[:,2]
- dfdy[indx[1], indx[56]] = -k[534]*y[:,1]
+ dfdy[indx[1], indx[46]] = k[419]*y[:,3] - k[428]*y[:,1]
+ dfdy[indx[1], indx[47]] = -k[420]*y[:,1] + k[429]*y[:,3] - k[432]*y[:,1]
+ dfdy[indx[1], indx[48]] = k[427]*y[:,3]
+ dfdy[indx[1], indx[49]] = k[443]*y[:,3]
+ dfdy[indx[1], indx[50]] = k[461]*y[:,3]
+ dfdy[indx[1], indx[51]] = -k[480]*y[:,1]
+ dfdy[indx[1], indx[52]] = k[499]*y[:,3] - k[508]*y[:,1]
+ dfdy[indx[1], indx[53]] = k[507]*y[:,3]
+ dfdy[indx[1], indx[54]] = -k[562]*y[:,1]
+ dfdy[indx[1], indx[55]] = k[529]*y[:,3]
+ dfdy[indx[1], indx[56]] = -k[530]*y[:,1]
dfdy[indx[1], indx[57]] = 0
- dfdy[indx[1], indx[58]] = 0
- dfdy[indx[1], indx[59]] = 0
- dfdy[indx[1], indx[60]] = -k[579]*y[:,1] + k[724]*y[:,3]
+ dfdy[indx[1], indx[58]] = k[561]*y[:,28]
+ dfdy[indx[1], indx[59]] = -k[566]*y[:,1]
+ dfdy[indx[1], indx[60]] = 0
dfdy[indx[1], indx[61]] = 0
- dfdy[indx[1], indx[62]] = -k[601]*y[:,1]
- dfdy[indx[1], indx[63]] = 0
- dfdy[indx[1], indx[64]] = 0
- dfdy[indx[2], indx[0]] = M*k[609]*y[:,4] - M*k[611]*y[:,2] + k[112]*y[:,17] + k[121]*y[:,19] + k[150]*y[:,20] + k[198]*y[:,25] + k[1]*y[:,1] + k[227]*y[:,32] + k[368]*y[:,42] + k[38]*y[:,18] + k[407]*y[:,44] + k[448]*y[:,41] + k[461]*y[:,50] + k[480]*y[:,51] + 2*k[497]*y[:,52] - k[4]*y[:,2] + k[511]*y[:,53] - k[576]*y[:,2] - k[722]*y[:,2] + k[766]*y[:,4]
- dfdy[indx[2], indx[1]] = M*k[612] + k[100]*y[:,15] + k[114]*y[:,5] + k[116]*y[:,8] + k[118]*y[:,11] + k[120]*y[:,14] + k[134]*y[:,17] + k[142]*y[:,20] + k[1]*y[:,0] + k[264]*y[:,28] + k[268]*y[:,30] + k[274]*y[:,29] + k[311]*y[:,33] + k[336]*y[:,38] + k[342]*y[:,37] + k[348]*y[:,34] + k[362]*y[:,31] + k[450]*y[:,32] + k[460]*y[:,43] + k[486]*y[:,51] + k[508]*y[:,52] - k[512]*y[:,2] + k[522]*y[:,25] + k[534]*y[:,56] + k[54]*y[:,7] + 2*k[579]*y[:,60] + 2*k[5]*y[:,4] + k[601]*y[:,62] + k[721] + k[85]*y[:,12] + k[94]*y[:,13]
- dfdy[indx[2], indx[2]] = -M*k[610] - M*k[611]*y[:,0] - M*k[653]*y[:,11] - M*k[687]*y[:,32] - 4*M*k[693]*y[:,2] - M*k[719]*y[:,8] - k[102]*y[:,6] - k[106]*y[:,7] - k[107]*y[:,8] - k[110]*y[:,15] - k[111]*y[:,6] - k[113]*y[:,7] - k[115]*y[:,9] - k[117]*y[:,13] - k[119]*y[:,15] - k[122]*y[:,8] - k[133]*y[:,21] - k[140]*y[:,20] - k[141]*y[:,22] - k[149]*y[:,7] - k[168]*y[:,11] - k[178]*y[:,14] - k[197]*y[:,4] - k[210]*y[:,21] - k[228]*y[:,28] - k[258]*y[:,28] - k[262]*y[:,33] - k[263]*y[:,29] - k[265]*y[:,30] - k[267]*y[:,31] - k[269]*y[:,31] - k[271]*y[:,29] - k[273]*y[:,33] - k[296]*y[:,34] - k[2]*y[:,3] - k[312]*y[:,35] - k[335]*y[:,37] - k[340]*y[:,37] - k[341]*y[:,39] - k[347]*y[:,38] - k[350]*y[:,34] - k[354]*y[:,38] - k[358]*y[:,38] - k[361]*y[:,36] - k[367]*y[:,31] - k[37]*y[:,17] - k[380]*y[:,36] - k[390]*y[:,20] - k[398]*y[:,32] - k[402]*y[:,41] - k[408]*y[:,34] - k[427]*y[:,46] - k[447]*y[:,29] - k[449]*y[:,41] - k[452]*y[:,32] - k[459]*y[:,50] - k[462]*y[:,41] - k[479]*y[:,30] - k[484]*y[:,51] - k[485]*y[:,42] - 4*k[498]*y[:,2] - k[4]*y[:,0] - k[504]*y[:,18] - k[506]*y[:,52] - k[507]*y[:,53] - k[512]*y[:,1] - k[514]*y[:,25] - k[521]*y[:,52] - k[533]*y[:,55] - k[536]*y[:,56] - k[53]*y[:,8] - k[557]*y[:,58] - k[55]*y[:,12] - k[560]*y[:,58] - k[576]*y[:,0] - k[578]*y[:,8] - 4*k[580]*y[:,2] - k[584]*y[:,33] - k[602]*y[:,29] - 4*k[6]*y[:,2] - k[71]*y[:,11] - k[722]*y[:,0] - k[765] - k[774]*y[:,8] - k[802]*y[:,4] - k[83]*y[:,12] - k[86]*y[:,11] - k[93]*y[:,14] - k[99]*y[:,16]
- dfdy[indx[2], indx[3]] = -k[2]*y[:,2] + k[3]*y[:,4] + k[575]*y[:,60]
- dfdy[indx[2], indx[4]] = M*k[609]*y[:,0] + k[101]*y[:,5] + k[105]*y[:,8] + k[108]*y[:,9] + k[109]*y[:,16] + k[139]*y[:,22] + k[167]*y[:,13] - k[197]*y[:,2] + k[209]*y[:,20] + k[257]*y[:,29] + k[261]*y[:,35] + k[266]*y[:,31] + k[272]*y[:,33] + k[339]*y[:,39] + k[349]*y[:,38] + k[357]*y[:,37] + k[3]*y[:,3] + k[451]*y[:,41] + k[483]*y[:,42] + k[505]*y[:,53] + k[513]*y[:,52] + k[535]*y[:,55] + 2*k[5]*y[:,1] + k[766]*y[:,0] - k[802]*y[:,2] + k[84]*y[:,11]
- dfdy[indx[2], indx[5]] = k[101]*y[:,4] + k[114]*y[:,1]
- dfdy[indx[2], indx[6]] = -k[102]*y[:,2] - k[111]*y[:,2]
- dfdy[indx[2], indx[7]] = -k[106]*y[:,2] - k[113]*y[:,2] - k[149]*y[:,2] + k[177]*y[:,19] + k[54]*y[:,1] + k[56]*y[:,17]
- dfdy[indx[2], indx[8]] = -M*k[719]*y[:,2] + k[105]*y[:,4] - k[107]*y[:,2] + k[116]*y[:,1] - k[122]*y[:,2] + k[379]*y[:,32] + k[389]*y[:,25] - k[53]*y[:,2] - k[578]*y[:,2] + k[72]*y[:,17] - k[774]*y[:,2]
- dfdy[indx[2], indx[9]] = k[108]*y[:,4] - k[115]*y[:,2] + k[577]*y[:,60]
+ dfdy[indx[1], indx[62]] = 0
+ dfdy[indx[1], indx[63]] = k[590]*y[:,3]
+ dfdy[indx[1], indx[64]] = -k[589]*y[:,1]
+ dfdy[indx[1], indx[65]] = -k[617]*y[:,1] - k[786]*y[:,1]
+ dfdy[indx[1], indx[66]] = -k[633]*y[:,1] - k[792]*y[:,1]
+ dfdy[indx[1], indx[67]] = -k[643]*y[:,1]
+ dfdy[indx[1], indx[68]] = 0
+ dfdy[indx[2], indx[0]] = M*k[661]*y[:,3] + k[113]*y[:,7] + k[115]*y[:,9] + k[117]*y[:,13] + k[119]*y[:,15] + k[133]*y[:,21] + k[141]*y[:,22] + k[1]*y[:,1] + k[263]*y[:,29] + k[267]*y[:,31] + k[273]*y[:,33] + k[311]*y[:,35] + k[333]*y[:,36] + k[339]*y[:,38] + k[345]*y[:,37] + k[359]*y[:,41] + k[447]*y[:,40] + k[457]*y[:,50] + k[483]*y[:,42] + k[505]*y[:,53] - k[510]*y[:,2] + k[519]*y[:,52] + k[531]*y[:,55] + k[53]*y[:,8] + k[599]*y[:,23] + k[601]*y[:,23] + 2*k[622]*y[:,0] + k[646]*y[:,29] + k[653]*y[:,8] + 2*k[6]*y[:,0] + k[784]*y[:,3] + k[86]*y[:,11] + k[93]*y[:,14] + k[99]*y[:,16]
+ dfdy[indx[2], indx[1]] = k[1]*y[:,0] + k[493]*y[:,40] + k[786]*y[:,65]
+ dfdy[indx[2], indx[2]] = -M*k[662] - M*k[697]*y[:,5] - k[100]*y[:,15] - k[114]*y[:,5] - k[116]*y[:,8] - k[118]*y[:,11] - k[120]*y[:,14] - k[134]*y[:,17] - k[142]*y[:,20] - k[146]*y[:,8] - k[264]*y[:,28] - k[268]*y[:,30] - k[274]*y[:,29] - k[294]*y[:,31] - k[298]*y[:,34] - k[2]*y[:,3] - k[312]*y[:,33] - k[334]*y[:,37] - k[340]*y[:,36] - k[346]*y[:,34] - k[360]*y[:,31] - k[386]*y[:,17] - k[410]*y[:,44] - k[412]*y[:,44] - k[439]*y[:,5] - k[448]*y[:,32] - k[458]*y[:,43] - k[464]*y[:,32] - k[484]*y[:,51] - k[494]*y[:,29] - k[498]*y[:,4] - k[506]*y[:,52] - k[510]*y[:,0] - k[520]*y[:,25] - k[532]*y[:,56] - k[54]*y[:,7] - k[5]*y[:,4] - k[600]*y[:,22] - k[602]*y[:,19] - k[621]*y[:,65] - k[645]*y[:,67] - k[654]*y[:,66] - k[783] - k[785] - k[787] - k[85]*y[:,12] - k[94]*y[:,13]
+ dfdy[indx[2], indx[3]] = M*k[661]*y[:,0] + k[145]*y[:,23] - k[2]*y[:,2] + k[440]*y[:,20] + k[463]*y[:,50] + k[497]*y[:,52] + k[509]*y[:,53] + k[784]*y[:,0] + 2*k[788]*y[:,3]*y[:,4]
+ dfdy[indx[2], indx[4]] = -k[498]*y[:,2] - k[5]*y[:,2] + k[788]*y[:,3]**2
+ dfdy[indx[2], indx[5]] = -M*k[697]*y[:,2] - k[114]*y[:,2] - k[439]*y[:,2]
+ dfdy[indx[2], indx[6]] = 0
+ dfdy[indx[2], indx[7]] = k[113]*y[:,0] + k[385]*y[:,25] - k[54]*y[:,2]
+ dfdy[indx[2], indx[8]] = -k[116]*y[:,2] - k[146]*y[:,2] + k[293]*y[:,32] + k[53]*y[:,0] + k[653]*y[:,0]
+ dfdy[indx[2], indx[9]] = k[115]*y[:,0]
dfdy[indx[2], indx[10]] = 0
- dfdy[indx[2], indx[11]] = -M*k[653]*y[:,2] + k[118]*y[:,1] - k[168]*y[:,2] - k[71]*y[:,2] + k[84]*y[:,4] - k[86]*y[:,2]
- dfdy[indx[2], indx[12]] = k[559]*y[:,19] - k[55]*y[:,2] - k[83]*y[:,2] + k[85]*y[:,1]
- dfdy[indx[2], indx[13]] = -k[117]*y[:,2] + k[167]*y[:,4] + k[558]*y[:,21] + k[94]*y[:,1]
- dfdy[indx[2], indx[14]] = k[120]*y[:,1] - k[178]*y[:,2] - k[93]*y[:,2]
- dfdy[indx[2], indx[15]] = k[100]*y[:,1] - k[110]*y[:,2] - k[119]*y[:,2]
- dfdy[indx[2], indx[16]] = k[109]*y[:,4] - k[99]*y[:,2]
- dfdy[indx[2], indx[17]] = k[112]*y[:,0] + k[134]*y[:,1] + k[270]*y[:,33] - k[37]*y[:,2] + k[503]*y[:,52] + k[56]*y[:,7] + k[72]*y[:,8]
- dfdy[indx[2], indx[18]] = k[38]*y[:,0] - k[504]*y[:,2]
- dfdy[indx[2], indx[19]] = k[121]*y[:,0] + k[177]*y[:,7] + k[428]*y[:,33] + k[559]*y[:,12]
- dfdy[indx[2], indx[20]] = -k[140]*y[:,2] + k[142]*y[:,1] + k[150]*y[:,0] + k[209]*y[:,4] - k[390]*y[:,2]
- dfdy[indx[2], indx[21]] = -k[133]*y[:,2] - k[210]*y[:,2] + k[558]*y[:,13]
- dfdy[indx[2], indx[22]] = k[139]*y[:,4] - k[141]*y[:,2]
- dfdy[indx[2], indx[23]] = M*k[720] + k[773]
- dfdy[indx[2], indx[24]] = M*k[654]
- dfdy[indx[2], indx[25]] = k[198]*y[:,0] + k[389]*y[:,8] + k[397]*y[:,29] + k[401]*y[:,33] - k[514]*y[:,2] + k[522]*y[:,1]
+ dfdy[indx[2], indx[11]] = -k[118]*y[:,2] + k[86]*y[:,0]
+ dfdy[indx[2], indx[12]] = -k[85]*y[:,2]
+ dfdy[indx[2], indx[13]] = k[117]*y[:,0] - k[94]*y[:,2]
+ dfdy[indx[2], indx[14]] = -k[120]*y[:,2] + k[93]*y[:,0]
+ dfdy[indx[2], indx[15]] = -k[100]*y[:,2] + k[119]*y[:,0]
+ dfdy[indx[2], indx[16]] = k[99]*y[:,0]
+ dfdy[indx[2], indx[17]] = -k[134]*y[:,2] - k[386]*y[:,2]
+ dfdy[indx[2], indx[18]] = 0
+ dfdy[indx[2], indx[19]] = M*k[698] - k[602]*y[:,2]
+ dfdy[indx[2], indx[20]] = -k[142]*y[:,2] + k[440]*y[:,3]
+ dfdy[indx[2], indx[21]] = k[133]*y[:,0]
+ dfdy[indx[2], indx[22]] = k[141]*y[:,0] - k[600]*y[:,2]
+ dfdy[indx[2], indx[23]] = k[145]*y[:,3] + k[599]*y[:,0] + k[601]*y[:,0]
+ dfdy[indx[2], indx[24]] = 0
+ dfdy[indx[2], indx[25]] = k[385]*y[:,7] - k[520]*y[:,2]
dfdy[indx[2], indx[26]] = 0
dfdy[indx[2], indx[27]] = 0
- dfdy[indx[2], indx[28]] = -k[228]*y[:,2] - k[258]*y[:,2] + k[264]*y[:,1]
- dfdy[indx[2], indx[29]] = k[257]*y[:,4] - k[263]*y[:,2] - k[271]*y[:,2] + k[274]*y[:,1] + k[295]*y[:,32] + k[397]*y[:,25] - k[447]*y[:,2] - k[602]*y[:,2]
- dfdy[indx[2], indx[30]] = -k[265]*y[:,2] + k[268]*y[:,1] - k[479]*y[:,2]
- dfdy[indx[2], indx[31]] = k[266]*y[:,4] - k[267]*y[:,2] - k[269]*y[:,2] + k[362]*y[:,1] - k[367]*y[:,2]
- dfdy[indx[2], indx[32]] = -M*k[687]*y[:,2] + k[227]*y[:,0] + k[295]*y[:,29] + k[353]*y[:,33] + k[379]*y[:,8] - k[398]*y[:,2] + k[450]*y[:,1] - k[452]*y[:,2]
- dfdy[indx[2], indx[33]] = -k[262]*y[:,2] + k[270]*y[:,17] + k[272]*y[:,4] - k[273]*y[:,2] + k[311]*y[:,1] + k[353]*y[:,32] + k[401]*y[:,25] + k[428]*y[:,19] - k[584]*y[:,2]
- dfdy[indx[2], indx[34]] = -k[296]*y[:,2] + k[348]*y[:,1] - k[350]*y[:,2] - k[408]*y[:,2]
- dfdy[indx[2], indx[35]] = k[261]*y[:,4] - k[312]*y[:,2] + k[583]*y[:,60]
- dfdy[indx[2], indx[36]] = -k[361]*y[:,2] - k[380]*y[:,2]
- dfdy[indx[2], indx[37]] = -k[335]*y[:,2] - k[340]*y[:,2] + k[342]*y[:,1] + k[357]*y[:,4]
- dfdy[indx[2], indx[38]] = k[336]*y[:,1] - k[347]*y[:,2] + k[349]*y[:,4] - k[354]*y[:,2] - k[358]*y[:,2]
- dfdy[indx[2], indx[39]] = k[339]*y[:,4] - k[341]*y[:,2]
- dfdy[indx[2], indx[40]] = 0
- dfdy[indx[2], indx[41]] = -k[402]*y[:,2] + k[448]*y[:,0] - k[449]*y[:,2] + k[451]*y[:,4] - k[462]*y[:,2]
- dfdy[indx[2], indx[42]] = k[368]*y[:,0] + k[483]*y[:,4] - k[485]*y[:,2]
- dfdy[indx[2], indx[43]] = k[460]*y[:,1]
- dfdy[indx[2], indx[44]] = k[407]*y[:,0]
+ dfdy[indx[2], indx[28]] = -k[264]*y[:,2]
+ dfdy[indx[2], indx[29]] = k[263]*y[:,0] - k[274]*y[:,2] - k[494]*y[:,2] + k[646]*y[:,0]
+ dfdy[indx[2], indx[30]] = -k[268]*y[:,2]
+ dfdy[indx[2], indx[31]] = k[267]*y[:,0] - k[294]*y[:,2] - k[360]*y[:,2]
+ dfdy[indx[2], indx[32]] = k[293]*y[:,8] + k[297]*y[:,33] - k[448]*y[:,2] - k[464]*y[:,2]
+ dfdy[indx[2], indx[33]] = k[273]*y[:,0] + k[297]*y[:,32] - k[312]*y[:,2] + k[409]*y[:,43]
+ dfdy[indx[2], indx[34]] = -k[298]*y[:,2] - k[346]*y[:,2]
+ dfdy[indx[2], indx[35]] = k[311]*y[:,0]
+ dfdy[indx[2], indx[36]] = k[333]*y[:,0] - k[340]*y[:,2]
+ dfdy[indx[2], indx[37]] = -k[334]*y[:,2] + k[345]*y[:,0]
+ dfdy[indx[2], indx[38]] = k[339]*y[:,0]
+ dfdy[indx[2], indx[39]] = 0
+ dfdy[indx[2], indx[40]] = 2*k[411]*y[:,40] + k[447]*y[:,0] + k[493]*y[:,1]
+ dfdy[indx[2], indx[41]] = k[359]*y[:,0]
+ dfdy[indx[2], indx[42]] = k[483]*y[:,0]
+ dfdy[indx[2], indx[43]] = k[409]*y[:,33] - k[458]*y[:,2]
+ dfdy[indx[2], indx[44]] = -k[410]*y[:,2] - k[412]*y[:,2]
dfdy[indx[2], indx[45]] = 0
- dfdy[indx[2], indx[46]] = -k[427]*y[:,2]
+ dfdy[indx[2], indx[46]] = 0
dfdy[indx[2], indx[47]] = 0
dfdy[indx[2], indx[48]] = 0
dfdy[indx[2], indx[49]] = 0
- dfdy[indx[2], indx[50]] = M*k[688] - k[459]*y[:,2] + k[461]*y[:,0]
- dfdy[indx[2], indx[51]] = k[480]*y[:,0] - k[484]*y[:,2] + k[486]*y[:,1]
- dfdy[indx[2], indx[52]] = 2*k[497]*y[:,0] + k[503]*y[:,17] - k[506]*y[:,2] + k[508]*y[:,1] + k[513]*y[:,4] - k[521]*y[:,2] + k[801]
- dfdy[indx[2], indx[53]] = 2*M*k[694] + k[505]*y[:,4] - k[507]*y[:,2] + k[511]*y[:,0]
+ dfdy[indx[2], indx[50]] = k[457]*y[:,0] + k[463]*y[:,3]
+ dfdy[indx[2], indx[51]] = -k[484]*y[:,2]
+ dfdy[indx[2], indx[52]] = k[497]*y[:,3] - k[506]*y[:,2] + k[519]*y[:,0]
+ dfdy[indx[2], indx[53]] = k[505]*y[:,0] + k[509]*y[:,3]
dfdy[indx[2], indx[54]] = 0
- dfdy[indx[2], indx[55]] = -k[533]*y[:,2] + k[535]*y[:,4]
- dfdy[indx[2], indx[56]] = k[534]*y[:,1] - k[536]*y[:,2]
+ dfdy[indx[2], indx[55]] = k[531]*y[:,0]
+ dfdy[indx[2], indx[56]] = -k[532]*y[:,2]
dfdy[indx[2], indx[57]] = 0
- dfdy[indx[2], indx[58]] = -k[557]*y[:,2] - k[560]*y[:,2]
+ dfdy[indx[2], indx[58]] = 0
dfdy[indx[2], indx[59]] = 0
- dfdy[indx[2], indx[60]] = k[575]*y[:,3] + k[577]*y[:,9] + 2*k[579]*y[:,1] + k[583]*y[:,35]
+ dfdy[indx[2], indx[60]] = 0
dfdy[indx[2], indx[61]] = 0
- dfdy[indx[2], indx[62]] = k[601]*y[:,1]
+ dfdy[indx[2], indx[62]] = 0
dfdy[indx[2], indx[63]] = 0
dfdy[indx[2], indx[64]] = 0
- dfdy[indx[3], indx[0]] = 2*M*k[607]*y[:,0] + k[123]*y[:,20] + k[12]*y[:,8] + k[131]*y[:,21] + k[13]*y[:,9] + k[143]*y[:,23] + k[155]*y[:,23] + k[199]*y[:,22] + k[1]*y[:,1] + k[20]*y[:,11] + k[229]*y[:,29] + k[231]*y[:,33] + k[234]*y[:,31] + k[23]*y[:,13] + k[26]*y[:,14] + k[306]*y[:,35] + k[331]*y[:,37] + k[337]*y[:,39] + k[33]*y[:,15] + k[345]*y[:,38] + k[35]*y[:,16] + k[381]*y[:,40] + k[421]*y[:,46] + k[429]*y[:,48] + k[431]*y[:,47] + k[445]*y[:,49] + k[453]*y[:,41] + k[463]*y[:,50] + k[481]*y[:,42] + k[4]*y[:,2] + k[501]*y[:,52] + k[509]*y[:,53] + k[523]*y[:,36] + k[531]*y[:,55] + k[576]*y[:,2] + k[590]*y[:,8] + k[600]*y[:,29] - k[734]*y[:,3]*y[:,5] + 2*k[742]*y[:,0] + k[74]*y[:,12] + k[7]*y[:,5] + k[9]*y[:,7]
- dfdy[indx[3], indx[1]] = k[1]*y[:,0] + k[496]*y[:,29] + k[723]
- dfdy[indx[3], indx[2]] = -k[2]*y[:,3] + k[4]*y[:,0] + k[576]*y[:,0]
- dfdy[indx[3], indx[3]] = -M*k[608] - M*k[625]*y[:,6] - M*k[631]*y[:,5] - M*k[638]*y[:,11] - M*k[640]*y[:,14] - M*k[659]*y[:,17] - M*k[665]*y[:,28] - k[10]*y[:,5] - k[11]*y[:,7] - k[124]*y[:,21] - k[132]*y[:,17] - k[144]*y[:,22] - k[14]*y[:,8] - k[156]*y[:,19] - k[174]*y[:,17] - k[19]*y[:,12] - k[200]*y[:,20] - k[230]*y[:,28] - k[232]*y[:,29] - k[233]*y[:,30] - k[24]*y[:,11] - k[25]*y[:,13] - k[2]*y[:,2] - k[304]*y[:,34] - k[305]*y[:,33] - k[310]*y[:,32] - k[332]*y[:,38] - k[338]*y[:,37] - k[346]*y[:,34] - k[34]*y[:,14] - k[36]*y[:,15] - k[372]*y[:,31] - k[378]*y[:,37] - k[382]*y[:,39] - k[3]*y[:,4] - k[40]*y[:,11] - k[422]*y[:,47] - k[430]*y[:,46] - k[432]*y[:,36] - k[434]*y[:,47] - k[446]*y[:,24] - k[454]*y[:,32] - k[464]*y[:,43] - k[482]*y[:,51] - k[495]*y[:,41] - k[502]*y[:,25] - k[510]*y[:,52] - k[524]*y[:,31] - k[532]*y[:,56] - k[552]*y[:,38] - k[562]*y[:,54] - k[566]*y[:,59] - k[575]*y[:,60] - k[589]*y[:,61] - k[599]*y[:,62] - k[724]*y[:,60] - k[730]*y[:,61] - k[734]*y[:,0]*y[:,5] - k[736]*y[:,5] - k[73]*y[:,10] - k[741] - k[750]*y[:,11] - k[756]*y[:,14] - 4*k[760]*y[:,11]*y[:,3] - k[770]*y[:,17] - k[776]*y[:,20] - k[8]*y[:,6]
- dfdy[indx[3], indx[4]] = k[173]*y[:,7] + k[309]*y[:,33] - k[3]*y[:,3]
- dfdy[indx[3], indx[5]] = -M*k[631]*y[:,3] - k[10]*y[:,3] + k[39]*y[:,8] - k[734]*y[:,0]*y[:,3] - k[736]*y[:,3] + k[7]*y[:,0]
- dfdy[indx[3], indx[6]] = -M*k[625]*y[:,3] - k[8]*y[:,3]
- dfdy[indx[3], indx[7]] = M*k[626] - k[11]*y[:,3] + k[173]*y[:,4] + k[565]*y[:,11] + k[9]*y[:,0]
- dfdy[indx[3], indx[8]] = M*k[632] + k[12]*y[:,0] - k[14]*y[:,3] + k[371]*y[:,28] + k[39]*y[:,5] + k[433]*y[:,33] + k[590]*y[:,0] + k[735]
- dfdy[indx[3], indx[9]] = k[13]*y[:,0] + k[729] + k[733]
- dfdy[indx[3], indx[10]] = -k[73]*y[:,3]
- dfdy[indx[3], indx[11]] = -M*k[638]*y[:,3] + k[20]*y[:,0] - k[24]*y[:,3] - k[40]*y[:,3] + k[565]*y[:,7] - k[750]*y[:,3] - 2*k[760]*y[:,3]**2
- dfdy[indx[3], indx[12]] = -k[19]*y[:,3] + k[74]*y[:,0]
- dfdy[indx[3], indx[13]] = k[23]*y[:,0] - k[25]*y[:,3]
- dfdy[indx[3], indx[14]] = M*k[637] - M*k[640]*y[:,3] + k[26]*y[:,0] - k[34]*y[:,3] + k[749] - k[756]*y[:,3]
- dfdy[indx[3], indx[15]] = k[33]*y[:,0] - k[36]*y[:,3]
- dfdy[indx[3], indx[16]] = M*k[639] + k[35]*y[:,0] + k[755] + 2*k[759]
- dfdy[indx[3], indx[17]] = -M*k[659]*y[:,3] - k[132]*y[:,3] - k[174]*y[:,3] - k[770]*y[:,3]
- dfdy[indx[3], indx[18]] = 0
- dfdy[indx[3], indx[19]] = -k[156]*y[:,3]
- dfdy[indx[3], indx[20]] = M*k[660] + k[123]*y[:,0] - k[200]*y[:,3] + k[769] - k[776]*y[:,3]
- dfdy[indx[3], indx[21]] = -k[124]*y[:,3] + k[131]*y[:,0]
- dfdy[indx[3], indx[22]] = -k[144]*y[:,3] + k[199]*y[:,0]
- dfdy[indx[3], indx[23]] = k[143]*y[:,0] + k[155]*y[:,0] + k[775]
- dfdy[indx[3], indx[24]] = -k[446]*y[:,3]
- dfdy[indx[3], indx[25]] = -k[502]*y[:,3]
- dfdy[indx[3], indx[26]] = 0
- dfdy[indx[3], indx[27]] = 0
- dfdy[indx[3], indx[28]] = -M*k[665]*y[:,3] - k[230]*y[:,3] + k[371]*y[:,8] + k[551]*y[:,35] + k[561]*y[:,58]
- dfdy[indx[3], indx[29]] = k[229]*y[:,0] - k[232]*y[:,3] + 2*k[303]*y[:,29] + k[496]*y[:,1] + k[600]*y[:,0]
- dfdy[indx[3], indx[30]] = -k[233]*y[:,3]
- dfdy[indx[3], indx[31]] = k[234]*y[:,0] - k[372]*y[:,3] - k[524]*y[:,3]
- dfdy[indx[3], indx[32]] = -k[310]*y[:,3] - k[454]*y[:,3]
- dfdy[indx[3], indx[33]] = M*k[666] + k[231]*y[:,0] - k[305]*y[:,3] + k[309]*y[:,4] + 2*k[377]*y[:,33] + k[433]*y[:,8]
- dfdy[indx[3], indx[34]] = -k[304]*y[:,3] - k[346]*y[:,3]
- dfdy[indx[3], indx[35]] = k[306]*y[:,0] + k[551]*y[:,28]
- dfdy[indx[3], indx[36]] = -k[432]*y[:,3] + k[523]*y[:,0]
- dfdy[indx[3], indx[37]] = k[331]*y[:,0] - k[338]*y[:,3] - k[378]*y[:,3]
- dfdy[indx[3], indx[38]] = -k[332]*y[:,3] + k[345]*y[:,0] - k[552]*y[:,3]
- dfdy[indx[3], indx[39]] = k[337]*y[:,0] - k[382]*y[:,3]
- dfdy[indx[3], indx[40]] = k[381]*y[:,0]
- dfdy[indx[3], indx[41]] = k[453]*y[:,0] - k[495]*y[:,3]
- dfdy[indx[3], indx[42]] = k[481]*y[:,0]
- dfdy[indx[3], indx[43]] = -k[464]*y[:,3]
- dfdy[indx[3], indx[44]] = 0
- dfdy[indx[3], indx[45]] = 0
- dfdy[indx[3], indx[46]] = k[421]*y[:,0] - k[430]*y[:,3]
- dfdy[indx[3], indx[47]] = -k[422]*y[:,3] + k[431]*y[:,0] - k[434]*y[:,3]
- dfdy[indx[3], indx[48]] = k[429]*y[:,0]
- dfdy[indx[3], indx[49]] = k[445]*y[:,0]
- dfdy[indx[3], indx[50]] = k[463]*y[:,0]
- dfdy[indx[3], indx[51]] = -k[482]*y[:,3]
- dfdy[indx[3], indx[52]] = k[501]*y[:,0] - k[510]*y[:,3]
- dfdy[indx[3], indx[53]] = k[509]*y[:,0]
- dfdy[indx[3], indx[54]] = -k[562]*y[:,3]
- dfdy[indx[3], indx[55]] = k[531]*y[:,0]
- dfdy[indx[3], indx[56]] = -k[532]*y[:,3]
- dfdy[indx[3], indx[57]] = 0
- dfdy[indx[3], indx[58]] = k[561]*y[:,28]
- dfdy[indx[3], indx[59]] = -k[566]*y[:,3]
- dfdy[indx[3], indx[60]] = -k[575]*y[:,3] - k[724]*y[:,3]
- dfdy[indx[3], indx[61]] = -k[589]*y[:,3] - k[730]*y[:,3]
- dfdy[indx[3], indx[62]] = -k[599]*y[:,3]
- dfdy[indx[3], indx[63]] = 0
- dfdy[indx[3], indx[64]] = 0
- dfdy[indx[4], indx[0]] = -M*k[609]*y[:,4] + k[104]*y[:,17] + k[138]*y[:,20] + 2*k[148]*y[:,0]*y[:,17] + k[198]*y[:,25] + k[204]*y[:,26] + k[206]*y[:,27] + k[260]*y[:,32] + k[444]*y[:,49] + k[478]*y[:,51] + k[494]*y[:,41] + k[499]*y[:,52] + k[4]*y[:,2] - 2*k[726]*y[:,0]*y[:,4] - k[766]*y[:,4]
- dfdy[indx[4], indx[1]] = -k[500]*y[:,4] - k[5]*y[:,4] + k[725]
- dfdy[indx[4], indx[2]] = M*k[610] + k[102]*y[:,6] + k[106]*y[:,7] + k[107]*y[:,8] + k[110]*y[:,15] + k[140]*y[:,20] + k[168]*y[:,11] - k[197]*y[:,4] + k[210]*y[:,21] + k[258]*y[:,28] + k[262]*y[:,33] + k[265]*y[:,30] + k[271]*y[:,29] + k[340]*y[:,37] + k[350]*y[:,34] + k[358]*y[:,38] + k[452]*y[:,32] + k[484]*y[:,51] + k[4]*y[:,0] + k[506]*y[:,52] + k[514]*y[:,25] + k[536]*y[:,56] + 2*k[6]*y[:,2] + k[765] - k[802]*y[:,4] + k[83]*y[:,12]
- dfdy[indx[4], indx[3]] = k[174]*y[:,17] + k[310]*y[:,32] - k[3]*y[:,4]
- dfdy[indx[4], indx[4]] = -M*k[609]*y[:,0] - M*k[641]*y[:,17] - M*k[677]*y[:,32] - M*k[680]*y[:,34] - M*k[705]*y[:,6] - M*k[709]*y[:,28] - 4*M*k[713]*y[:,4] - k[101]*y[:,5] - k[103]*y[:,5] - k[105]*y[:,8] - k[108]*y[:,9] - k[109]*y[:,16] - k[125]*y[:,14] - k[137]*y[:,8] - k[139]*y[:,22] - k[147]*y[:,7] - k[167]*y[:,13] - k[173]*y[:,7] - k[197]*y[:,2] - k[203]*y[:,13] - k[205]*y[:,11] - k[209]*y[:,20] - k[257]*y[:,29] - k[259]*y[:,29] - k[261]*y[:,35] - k[266]*y[:,31] - k[272]*y[:,33] - k[275]*y[:,30] - k[280]*y[:,34] - k[288]*y[:,30] - k[290]*y[:,31] - k[309]*y[:,33] - k[323]*y[:,31] - k[339]*y[:,39] - k[349]*y[:,38] - k[357]*y[:,37] - k[375]*y[:,38] - k[383]*y[:,22] - k[386]*y[:,17] - k[396]*y[:,32] - k[3]*y[:,3] - k[400]*y[:,41] - k[403]*y[:,43] - k[405]*y[:,44] - k[41]*y[:,10] - k[443]*y[:,15] - k[451]*y[:,41] - k[477]*y[:,31] - k[483]*y[:,42] - k[493]*y[:,33] - k[500]*y[:,1] - k[505]*y[:,53] - k[513]*y[:,52] - k[535]*y[:,55] - k[57]*y[:,11] - k[582]*y[:,18] - k[5]*y[:,1] - k[726]*y[:,0]**2 - k[740]*y[:,6] - k[746]*y[:,17] - k[766]*y[:,0] - k[792]*y[:,28] - k[794]*y[:,32] - k[802]*y[:,2] - 4*k[804]*y[:,4] - k[806]*y[:,60] - k[81]*y[:,12] - k[84]*y[:,11]
+ dfdy[indx[2], indx[65]] = -k[621]*y[:,2] + k[786]*y[:,1]
+ dfdy[indx[2], indx[66]] = -k[654]*y[:,2]
+ dfdy[indx[2], indx[67]] = -k[645]*y[:,2]
+ dfdy[indx[2], indx[68]] = 0
+ dfdy[indx[3], indx[0]] = M*k[660] - M*k[661]*y[:,3] + k[111]*y[:,6] + k[122]*y[:,8] + k[149]*y[:,7] + k[197]*y[:,4] + k[1]*y[:,1] + k[227]*y[:,28] + k[365]*y[:,31] + k[37]*y[:,17] + k[406]*y[:,34] + k[445]*y[:,29] + k[460]*y[:,40] + k[477]*y[:,30] + 2*k[496]*y[:,0] - k[4]*y[:,3] + k[510]*y[:,2] - k[618]*y[:,3] - k[784]*y[:,3] + k[827]
+ dfdy[indx[3], indx[1]] = 2*M*k[658] + k[10]*y[:,5] + k[11]*y[:,7] + k[124]*y[:,21] + k[132]*y[:,17] + k[144]*y[:,22] + k[14]*y[:,8] + k[156]*y[:,19] + k[19]*y[:,12] + k[1]*y[:,0] + k[200]*y[:,20] + k[230]*y[:,28] + k[232]*y[:,29] + k[233]*y[:,30] + k[24]*y[:,11] + k[25]*y[:,13] + k[305]*y[:,33] + k[330]*y[:,37] + k[336]*y[:,36] + k[344]*y[:,34] + k[34]*y[:,14] + k[36]*y[:,15] + k[380]*y[:,38] + k[3]*y[:,4] + k[420]*y[:,47] + k[428]*y[:,46] + k[430]*y[:,41] + k[444]*y[:,24] + k[452]*y[:,32] + k[462]*y[:,43] + k[480]*y[:,51] + k[500]*y[:,25] + k[508]*y[:,52] + k[522]*y[:,31] + k[530]*y[:,56] + k[589]*y[:,64] + k[617]*y[:,65] + k[633]*y[:,66] + k[643]*y[:,67] + k[73]*y[:,10] - k[796]*y[:,3]*y[:,5] + 2*k[803] + k[8]*y[:,6]
+ dfdy[indx[3], indx[2]] = M*k[662] + k[146]*y[:,8] - k[2]*y[:,3] + k[439]*y[:,5] + k[464]*y[:,32] + k[498]*y[:,4] + k[510]*y[:,0] + k[783] + 2*k[787]
+ dfdy[indx[3], indx[3]] = -4*M*k[657]*y[:,3] - M*k[659]*y[:,4] - M*k[661]*y[:,0] - M*k[663]*y[:,5] - M*k[665]*y[:,8] - M*k[667]*y[:,11] - M*k[669]*y[:,13] - M*k[671]*y[:,14] - M*k[673]*y[:,15] - M*k[678]*y[:,6] - M*k[679]*y[:,7] - M*k[685]*y[:,12] - M*k[694]*y[:,20] - M*k[695]*y[:,17] - M*k[700]*y[:,20] - M*k[701]*y[:,19] - M*k[707]*y[:,21] - M*k[711]*y[:,33] - M*k[713]*y[:,30] - M*k[720]*y[:,36] - M*k[721]*y[:,31] - M*k[732]*y[:,34] - M*k[735]*y[:,32] - M*k[745]*y[:,25] - M*k[747]*y[:,56] - M*k[749]*y[:,59] - M*k[754]*y[:,37] - M*k[755]*y[:,58] - M*k[759]*y[:,64] - M*k[761]*y[:,45] - M*k[768]*y[:,10] - M*k[772]*y[:,28] - k[104]*y[:,17] - k[112]*y[:,17] - k[121]*y[:,19] - k[123]*y[:,20] - k[12]*y[:,8] - k[131]*y[:,21] - k[138]*y[:,20] - k[13]*y[:,9] - k[143]*y[:,23] - k[145]*y[:,23] - 4*k[148]*y[:,17]*y[:,3] - k[150]*y[:,20] - k[155]*y[:,23] - k[16]*y[:,10] - k[18]*y[:,11] - k[193]*y[:,24] - k[198]*y[:,25] - k[199]*y[:,22] - k[201]*y[:,26] - k[204]*y[:,26] - k[206]*y[:,27] - k[207]*y[:,27] - k[20]*y[:,11] - k[220]*y[:,30] - k[224]*y[:,31] - k[228]*y[:,32] - k[229]*y[:,29] - k[22]*y[:,11] - k[231]*y[:,33] - k[234]*y[:,31] - k[23]*y[:,13] - k[260]*y[:,32] - k[26]*y[:,14] - k[282]*y[:,34] - k[28]*y[:,14] - k[2]*y[:,2] - k[302]*y[:,30] - k[306]*y[:,35] - k[30]*y[:,14] - k[31]*y[:,15] - k[324]*y[:,36] - k[329]*y[:,36] - k[335]*y[:,38] - k[33]*y[:,15] - k[343]*y[:,37] - k[35]*y[:,16] - k[362]*y[:,42] - k[363]*y[:,42] - k[366]*y[:,42] - k[368]*y[:,41] - k[379]*y[:,39] - k[38]*y[:,18] - k[405]*y[:,44] - k[408]*y[:,44] - k[418]*y[:,45] - k[419]*y[:,46] - k[427]*y[:,48] - k[429]*y[:,47] - k[434]*y[:,46] - k[437]*y[:,38] - k[440]*y[:,20] - k[442]*y[:,49] - k[443]*y[:,49] - k[446]*y[:,40] - 4*k[44]*y[:,11]*y[:,3] - k[451]*y[:,40] - k[459]*y[:,50] - k[461]*y[:,50] - k[463]*y[:,50] - k[476]*y[:,51] - k[478]*y[:,51] - k[479]*y[:,42] - k[48]*y[:,13] - k[492]*y[:,40] - k[495]*y[:,52] - k[497]*y[:,52] - k[499]*y[:,52] - k[4]*y[:,0] - k[507]*y[:,53] - k[509]*y[:,53] - k[521]*y[:,41] - k[524]*y[:,54] - k[526]*y[:,54] - k[527]*y[:,55] - k[529]*y[:,55] - k[536]*y[:,57] - k[538]*y[:,57] - k[544]*y[:,56] - k[564]*y[:,54] - k[568]*y[:,58] - k[570]*y[:,59] - k[572]*y[:,59] - k[574]*y[:,58] - k[582]*y[:,60] - k[584]*y[:,61] - k[586]*y[:,62] - k[588]*y[:,63] - k[590]*y[:,63] - k[612]*y[:,56] - k[618]*y[:,0] - k[634]*y[:,8] - k[642]*y[:,58] - k[644]*y[:,29] - k[74]*y[:,12] - k[778]*y[:,51] - k[784]*y[:,0] - 4*k[788]*y[:,3]*y[:,4] - k[790]*y[:,8] - 4*k[794]*y[:,3]*y[:,66] - k[796]*y[:,1]*y[:,5] - k[7]*y[:,5] - k[800]*y[:,66] - 4*k[804]*y[:,3] - k[806]*y[:,12] - 4*k[814]*y[:,11]*y[:,3] - k[816]*y[:,13] - 4*k[820]*y[:,14]*y[:,3] - k[828]*y[:,4] - k[830]*y[:,17] - k[834]*y[:,21] - k[840]*y[:,22] - k[848]*y[:,33] - 4*k[850]*y[:,29]*y[:,3] - k[852]*y[:,30] - k[858]*y[:,38] - k[862]*y[:,51] - k[872]*y[:,5] - k[874]*y[:,64] - k[9]*y[:,7]
+ dfdy[indx[3], indx[4]] = -M*k[659]*y[:,3] + k[103]*y[:,5] + k[137]*y[:,8] + 2*k[147]*y[:,7] + k[197]*y[:,0] + k[203]*y[:,13] + k[205]*y[:,11] + k[259]*y[:,29] + k[3]*y[:,1] + k[441]*y[:,15] + k[475]*y[:,31] + k[491]*y[:,33] + k[498]*y[:,2] - 2*k[788]*y[:,3]**2 - k[828]*y[:,3]
+ dfdy[indx[3], indx[5]] = -M*k[663]*y[:,3] + M*k[677] + k[103]*y[:,4] + k[10]*y[:,1] + k[15]*y[:,6] + k[219]*y[:,28] + k[21]*y[:,7] + k[27]*y[:,9] + k[439]*y[:,2] + k[571]*y[:,11] + k[583]*y[:,58] - k[796]*y[:,1]*y[:,3] - k[7]*y[:,3] - k[872]*y[:,3]
+ dfdy[indx[3], indx[6]] = -M*k[678]*y[:,3] + k[111]*y[:,0] + k[15]*y[:,5] + k[17]*y[:,8] + k[301]*y[:,29] + k[8]*y[:,1]
+ dfdy[indx[3], indx[7]] = M*k[664] - M*k[679]*y[:,3] + k[11]*y[:,1] + 2*k[147]*y[:,4] + k[149]*y[:,0] + k[208]*y[:,17] + k[21]*y[:,5] + k[223]*y[:,28] + k[29]*y[:,8] + k[361]*y[:,32] + 4*k[43]*y[:,7] + 2*k[47]*y[:,7] + k[567]*y[:,11] + k[569]*y[:,12] + k[871] - k[9]*y[:,3]
+ dfdy[indx[3], indx[8]] = -M*k[665]*y[:,3] + M*k[680] + k[122]*y[:,0] - k[12]*y[:,3] + k[137]*y[:,4] + k[146]*y[:,2] + k[14]*y[:,1] + k[17]*y[:,6] + k[194]*y[:,21] + k[202]*y[:,17] + k[29]*y[:,7] + 2*k[32]*y[:,8] + k[367]*y[:,28] + k[433]*y[:,33] + k[528]*y[:,31] + k[573]*y[:,12] + k[581]*y[:,11] + k[611]*y[:,30] - k[634]*y[:,3] - k[790]*y[:,3] + k[799]
+ dfdy[indx[3], indx[9]] = M*k[666] - k[13]*y[:,3] + k[27]*y[:,5] + k[789] + 2*k[793] + k[795]
+ dfdy[indx[3], indx[10]] = -M*k[768]*y[:,3] - k[16]*y[:,3] + k[73]*y[:,1]
+ dfdy[indx[3], indx[11]] = -M*k[667]*y[:,3] + M*k[686] - k[18]*y[:,3] + k[205]*y[:,4] - k[20]*y[:,3] - k[22]*y[:,3] + k[24]*y[:,1] + k[417]*y[:,12] - 2*k[44]*y[:,3]**2 + k[523]*y[:,30] + k[567]*y[:,7] + k[571]*y[:,5] + k[581]*y[:,8] + k[587]*y[:,62] + k[641]*y[:,66] + k[805] - 2*k[814]*y[:,3]**2
+ dfdy[indx[3], indx[12]] = -M*k[685]*y[:,3] + M*k[767] + k[19]*y[:,1] + k[417]*y[:,11] + k[525]*y[:,31] + k[569]*y[:,7] + k[573]*y[:,8] + k[585]*y[:,15] - k[74]*y[:,3] - k[806]*y[:,3]
+ dfdy[indx[3], indx[13]] = M*k[668] - M*k[669]*y[:,3] + k[203]*y[:,4] - k[23]*y[:,3] + k[25]*y[:,1] - k[48]*y[:,3] + k[537]*y[:,31] + k[543]*y[:,28] - k[816]*y[:,3]
+ dfdy[indx[3], indx[14]] = M*k[670] - M*k[671]*y[:,3] - k[26]*y[:,3] - k[28]*y[:,3] - k[30]*y[:,3] + k[34]*y[:,1] + k[535]*y[:,30] + 2*k[813] + k[815] - 2*k[820]*y[:,3]**2
+ dfdy[indx[3], indx[15]] = M*k[672] - M*k[673]*y[:,3] - k[31]*y[:,3] - k[33]*y[:,3] + k[36]*y[:,1] + k[441]*y[:,4] + k[585]*y[:,12]
+ dfdy[indx[3], indx[16]] = M*k[674] - k[35]*y[:,3] + 2*k[819]
+ dfdy[indx[3], indx[17]] = -M*k[695]*y[:,3] - k[104]*y[:,3] - k[112]*y[:,3] + k[132]*y[:,1] - 2*k[148]*y[:,3]**2 + k[202]*y[:,8] + k[208]*y[:,7] + k[364]*y[:,33] + k[37]*y[:,0] - k[830]*y[:,3]
+ dfdy[indx[3], indx[18]] = -k[38]*y[:,3]
+ dfdy[indx[3], indx[19]] = M*k[693] - M*k[701]*y[:,3] - k[121]*y[:,3] + k[156]*y[:,1]
+ dfdy[indx[3], indx[20]] = -M*k[694]*y[:,3] - M*k[700]*y[:,3] + M*k[708] - k[123]*y[:,3] - k[138]*y[:,3] - k[150]*y[:,3] + k[200]*y[:,1] - k[440]*y[:,3] + k[833]
+ dfdy[indx[3], indx[21]] = M*k[696] - M*k[707]*y[:,3] + k[124]*y[:,1] - k[131]*y[:,3] + k[194]*y[:,8] + k[829] - k[834]*y[:,3]
+ dfdy[indx[3], indx[22]] = M*k[699] + k[144]*y[:,1] - k[199]*y[:,3] - k[840]*y[:,3]
+ dfdy[indx[3], indx[23]] = M*k[702] - k[143]*y[:,3] - k[145]*y[:,3] - k[155]*y[:,3] + k[839]
+ dfdy[indx[3], indx[24]] = -k[193]*y[:,3] + k[444]*y[:,1]
+ dfdy[indx[3], indx[25]] = -M*k[745]*y[:,3] - k[198]*y[:,3] + k[500]*y[:,1]
+ dfdy[indx[3], indx[26]] = -k[201]*y[:,3] - k[204]*y[:,3]
+ dfdy[indx[3], indx[27]] = -k[206]*y[:,3] - k[207]*y[:,3]
+ dfdy[indx[3], indx[28]] = -M*k[772]*y[:,3] + k[219]*y[:,5] + k[223]*y[:,7] + k[227]*y[:,0] + k[230]*y[:,1] + k[281]*y[:,29] + k[367]*y[:,8] + k[543]*y[:,13] + k[563]*y[:,59]
+ dfdy[indx[3], indx[29]] = M*k[771] - k[229]*y[:,3] + k[232]*y[:,1] + k[259]*y[:,4] + k[281]*y[:,28] + k[301]*y[:,6] + k[323]*y[:,33] + k[407]*y[:,32] + k[445]*y[:,0] - k[644]*y[:,3] - 2*k[850]*y[:,3]**2
+ dfdy[indx[3], indx[30]] = -M*k[713]*y[:,3] - k[220]*y[:,3] + k[233]*y[:,1] - k[302]*y[:,3] + k[477]*y[:,0] + k[523]*y[:,11] + k[535]*y[:,14] + k[611]*y[:,8] - k[852]*y[:,3]
+ dfdy[indx[3], indx[31]] = M*k[714] - M*k[721]*y[:,3] - k[224]*y[:,3] - k[234]*y[:,3] + k[365]*y[:,0] + k[475]*y[:,4] + k[522]*y[:,1] + k[525]*y[:,12] + k[528]*y[:,8] + k[537]*y[:,13] + k[851]
+ dfdy[indx[3], indx[32]] = -M*k[735]*y[:,3] - k[228]*y[:,3] - k[260]*y[:,3] + k[361]*y[:,7] + k[407]*y[:,29] + k[452]*y[:,1] + k[464]*y[:,2]
+ dfdy[indx[3], indx[33]] = -M*k[711]*y[:,3] - k[231]*y[:,3] + k[305]*y[:,1] + k[323]*y[:,29] + k[364]*y[:,17] + k[433]*y[:,8] + 2*k[438]*y[:,33] + k[491]*y[:,4] - k[848]*y[:,3]
+ dfdy[indx[3], indx[34]] = -M*k[732]*y[:,3] - k[282]*y[:,3] + k[344]*y[:,1] + k[406]*y[:,0]
+ dfdy[indx[3], indx[35]] = M*k[712] - k[306]*y[:,3] + k[847] + 2*k[849]
+ dfdy[indx[3], indx[36]] = -M*k[720]*y[:,3] + M*k[753] - k[324]*y[:,3] - k[329]*y[:,3] + k[336]*y[:,1]
+ dfdy[indx[3], indx[37]] = M*k[731] - M*k[754]*y[:,3] + k[330]*y[:,1] - k[343]*y[:,3]
+ dfdy[indx[3], indx[38]] = M*k[719] - k[335]*y[:,3] + k[380]*y[:,1] - k[437]*y[:,3] - k[858]*y[:,3]
+ dfdy[indx[3], indx[39]] = -k[379]*y[:,3] + k[857]
+ dfdy[indx[3], indx[40]] = M*k[736] - k[446]*y[:,3] - k[451]*y[:,3] + k[460]*y[:,0] - k[492]*y[:,3]
+ dfdy[indx[3], indx[41]] = M*k[722] - k[368]*y[:,3] + k[430]*y[:,1] - k[521]*y[:,3]
+ dfdy[indx[3], indx[42]] = M*k[777] - k[362]*y[:,3] - k[363]*y[:,3] - k[366]*y[:,3] - k[479]*y[:,3] + k[861]
+ dfdy[indx[3], indx[43]] = k[462]*y[:,1]
+ dfdy[indx[3], indx[44]] = -k[405]*y[:,3] - k[408]*y[:,3]
+ dfdy[indx[3], indx[45]] = -M*k[761]*y[:,3] - k[418]*y[:,3]
+ dfdy[indx[3], indx[46]] = -k[419]*y[:,3] + k[428]*y[:,1] - k[434]*y[:,3]
+ dfdy[indx[3], indx[47]] = k[420]*y[:,1] - k[429]*y[:,3]
+ dfdy[indx[3], indx[48]] = -k[427]*y[:,3]
+ dfdy[indx[3], indx[49]] = -k[442]*y[:,3] - k[443]*y[:,3]
+ dfdy[indx[3], indx[50]] = -k[459]*y[:,3] - k[461]*y[:,3] - k[463]*y[:,3]
+ dfdy[indx[3], indx[51]] = -k[476]*y[:,3] - k[478]*y[:,3] + k[480]*y[:,1] - k[778]*y[:,3] - k[862]*y[:,3]
+ dfdy[indx[3], indx[52]] = M*k[746] - k[495]*y[:,3] - k[497]*y[:,3] - k[499]*y[:,3] + k[508]*y[:,1]
+ dfdy[indx[3], indx[53]] = -k[507]*y[:,3] - k[509]*y[:,3]
+ dfdy[indx[3], indx[54]] = -k[524]*y[:,3] - k[526]*y[:,3] - k[564]*y[:,3]
+ dfdy[indx[3], indx[55]] = M*k[748] - k[527]*y[:,3] - k[529]*y[:,3]
+ dfdy[indx[3], indx[56]] = -M*k[747]*y[:,3] + k[530]*y[:,1] - k[544]*y[:,3] - k[612]*y[:,3]
+ dfdy[indx[3], indx[57]] = -k[536]*y[:,3] - k[538]*y[:,3]
+ dfdy[indx[3], indx[58]] = M*k[750] - M*k[755]*y[:,3] - k[568]*y[:,3] - k[574]*y[:,3] + k[583]*y[:,5] - k[642]*y[:,3]
+ dfdy[indx[3], indx[59]] = -M*k[749]*y[:,3] + k[563]*y[:,28] - k[570]*y[:,3] - k[572]*y[:,3]
+ dfdy[indx[3], indx[60]] = M*k[756] - k[582]*y[:,3]
+ dfdy[indx[3], indx[61]] = M*k[762] - k[584]*y[:,3]
+ dfdy[indx[3], indx[62]] = -k[586]*y[:,3] + k[587]*y[:,11]
+ dfdy[indx[3], indx[63]] = M*k[760] - k[588]*y[:,3] - k[590]*y[:,3] + k[873]
+ dfdy[indx[3], indx[64]] = -M*k[759]*y[:,3] + k[589]*y[:,1] - k[874]*y[:,3]
+ dfdy[indx[3], indx[65]] = k[617]*y[:,1]
+ dfdy[indx[3], indx[66]] = k[633]*y[:,1] + k[641]*y[:,11] - 2*k[794]*y[:,3]**2 - k[800]*y[:,3]
+ dfdy[indx[3], indx[67]] = k[643]*y[:,1]
+ dfdy[indx[3], indx[68]] = 0
+ dfdy[indx[4], indx[0]] = M*k[660] + k[102]*y[:,6] + k[106]*y[:,7] + k[107]*y[:,8] + k[110]*y[:,15] + k[140]*y[:,20] + k[168]*y[:,11] - k[197]*y[:,4] + k[210]*y[:,21] + k[258]*y[:,28] + k[262]*y[:,33] + k[265]*y[:,30] + k[271]*y[:,29] + k[338]*y[:,36] + k[348]*y[:,34] + k[356]*y[:,37] + k[450]*y[:,32] + k[482]*y[:,51] + k[4]*y[:,3] + k[504]*y[:,52] + k[512]*y[:,25] + k[534]*y[:,56] + 2*k[6]*y[:,0] + k[827] + k[83]*y[:,12] - k[864]*y[:,4]
+ dfdy[indx[4], indx[1]] = k[174]*y[:,17] + k[310]*y[:,32] - k[3]*y[:,4]
+ dfdy[indx[4], indx[2]] = -k[498]*y[:,4] - k[5]*y[:,4] + k[787]
+ dfdy[indx[4], indx[3]] = -M*k[659]*y[:,4] + k[104]*y[:,17] + k[138]*y[:,20] + 2*k[148]*y[:,17]*y[:,3] + k[198]*y[:,25] + k[204]*y[:,26] + k[206]*y[:,27] + k[260]*y[:,32] + k[442]*y[:,49] + k[476]*y[:,51] + k[492]*y[:,40] + k[497]*y[:,52] + k[4]*y[:,0] - 2*k[788]*y[:,3]*y[:,4] - k[828]*y[:,4]
+ dfdy[indx[4], indx[4]] = -M*k[659]*y[:,3] - M*k[691]*y[:,17] - M*k[727]*y[:,32] - M*k[730]*y[:,34] - M*k[769]*y[:,6] - M*k[773]*y[:,28] - 4*M*k[775]*y[:,4] - k[101]*y[:,5] - k[103]*y[:,5] - k[105]*y[:,8] - k[108]*y[:,9] - k[109]*y[:,16] - k[125]*y[:,14] - k[137]*y[:,8] - k[139]*y[:,22] - k[147]*y[:,7] - k[167]*y[:,13] - k[173]*y[:,7] - k[197]*y[:,0] - k[203]*y[:,13] - k[205]*y[:,11] - k[209]*y[:,20] - k[257]*y[:,29] - k[259]*y[:,29] - k[261]*y[:,35] - k[266]*y[:,31] - k[272]*y[:,33] - k[275]*y[:,30] - k[280]*y[:,34] - k[288]*y[:,30] - k[290]*y[:,31] - k[309]*y[:,33] - k[321]*y[:,31] - k[337]*y[:,38] - k[347]*y[:,37] - k[355]*y[:,36] - k[373]*y[:,37] - k[381]*y[:,22] - k[384]*y[:,17] - k[394]*y[:,32] - k[398]*y[:,40] - k[3]*y[:,1] - k[401]*y[:,43] - k[403]*y[:,44] - k[41]*y[:,10] - k[441]*y[:,15] - k[449]*y[:,40] - k[475]*y[:,31] - k[481]*y[:,42] - k[491]*y[:,33] - k[498]*y[:,2] - k[503]*y[:,53] - k[511]*y[:,52] - k[533]*y[:,55] - k[545]*y[:,56] - k[57]*y[:,11] - k[595]*y[:,14] - k[597]*y[:,13] - k[5]*y[:,2] - k[608]*y[:,44] - k[624]*y[:,18] - k[632]*y[:,34] - k[650]*y[:,32] - k[788]*y[:,3]**2 - k[802]*y[:,6] - k[808]*y[:,17] - k[81]*y[:,12] - k[828]*y[:,3] - k[84]*y[:,11] - k[854]*y[:,28] - k[856]*y[:,32] - k[864]*y[:,0] - 4*k[866]*y[:,4] - k[868]*y[:,65]
dfdy[indx[4], indx[5]] = -k[101]*y[:,4] - k[103]*y[:,4] + k[289]*y[:,32] + k[82]*y[:,17]
- dfdy[indx[4], indx[6]] = -M*k[705]*y[:,4] + k[102]*y[:,2] + k[287]*y[:,32] + k[385]*y[:,25] + k[42]*y[:,17] - k[740]*y[:,4]
- dfdy[indx[4], indx[7]] = k[106]*y[:,2] - k[147]*y[:,4] - k[173]*y[:,4] + k[58]*y[:,17]
- dfdy[indx[4], indx[8]] = -k[105]*y[:,4] + k[107]*y[:,2] + k[126]*y[:,21] - k[137]*y[:,4] + k[384]*y[:,25]
+ dfdy[indx[4], indx[6]] = -M*k[769]*y[:,4] + k[102]*y[:,0] + k[287]*y[:,32] + k[383]*y[:,25] + k[42]*y[:,17] - k[802]*y[:,4]
+ dfdy[indx[4], indx[7]] = k[106]*y[:,0] - k[147]*y[:,4] - k[173]*y[:,4] + k[58]*y[:,17] + k[596]*y[:,20] + k[598]*y[:,21]
+ dfdy[indx[4], indx[8]] = -k[105]*y[:,4] + k[107]*y[:,0] + k[126]*y[:,21] - k[137]*y[:,4] + k[382]*y[:,25]
dfdy[indx[4], indx[9]] = -k[108]*y[:,4]
dfdy[indx[4], indx[10]] = -k[41]*y[:,4]
- dfdy[indx[4], indx[11]] = k[168]*y[:,2] - k[205]*y[:,4] - k[57]*y[:,4] - k[84]*y[:,4]
- dfdy[indx[4], indx[12]] = -k[81]*y[:,4] + k[83]*y[:,2]
- dfdy[indx[4], indx[13]] = -k[167]*y[:,4] - k[203]*y[:,4]
- dfdy[indx[4], indx[14]] = -k[125]*y[:,4]
- dfdy[indx[4], indx[15]] = k[110]*y[:,2] - k[443]*y[:,4]
+ dfdy[indx[4], indx[11]] = k[168]*y[:,0] - k[205]*y[:,4] - k[57]*y[:,4] - k[84]*y[:,4]
+ dfdy[indx[4], indx[12]] = -k[81]*y[:,4] + k[83]*y[:,0]
+ dfdy[indx[4], indx[13]] = -k[167]*y[:,4] - k[203]*y[:,4] - k[597]*y[:,4]
+ dfdy[indx[4], indx[14]] = -k[125]*y[:,4] - k[595]*y[:,4]
+ dfdy[indx[4], indx[15]] = k[110]*y[:,0] - k[441]*y[:,4]
dfdy[indx[4], indx[16]] = -k[109]*y[:,4]
- dfdy[indx[4], indx[17]] = -M*k[641]*y[:,4] + M*k[706] + k[104]*y[:,0] + k[148]*y[:,0]**2 + k[174]*y[:,3] + k[276]*y[:,28] + k[324]*y[:,29] - k[386]*y[:,4] + k[42]*y[:,6] + k[58]*y[:,7] + k[739] - k[746]*y[:,4] + k[82]*y[:,5]
- dfdy[indx[4], indx[18]] = M*k[642] + k[581]*y[:,60] - k[582]*y[:,4] + k[745]
+ dfdy[indx[4], indx[17]] = -M*k[691]*y[:,4] + M*k[770] + k[104]*y[:,3] + k[148]*y[:,3]**2 + k[174]*y[:,1] + k[276]*y[:,28] + k[322]*y[:,29] - k[384]*y[:,4] + k[42]*y[:,6] + k[58]*y[:,7] + k[801] - k[808]*y[:,4] + k[82]*y[:,5]
+ dfdy[indx[4], indx[18]] = M*k[692] + k[623]*y[:,65] - k[624]*y[:,4] + k[807]
dfdy[indx[4], indx[19]] = 0
- dfdy[indx[4], indx[20]] = k[138]*y[:,0] + k[140]*y[:,2] - k[209]*y[:,4]
- dfdy[indx[4], indx[21]] = k[126]*y[:,8] + k[210]*y[:,2]
- dfdy[indx[4], indx[22]] = -k[139]*y[:,4] - k[383]*y[:,4]
+ dfdy[indx[4], indx[20]] = k[138]*y[:,3] + k[140]*y[:,0] - k[209]*y[:,4] + k[596]*y[:,7]
+ dfdy[indx[4], indx[21]] = k[126]*y[:,8] + k[210]*y[:,0] + k[546]*y[:,31] + k[598]*y[:,7]
+ dfdy[indx[4], indx[22]] = -k[139]*y[:,4] - k[381]*y[:,4]
dfdy[indx[4], indx[23]] = 0
dfdy[indx[4], indx[24]] = 0
- dfdy[indx[4], indx[25]] = 2*M*k[714] + k[198]*y[:,0] + k[384]*y[:,8] + k[385]*y[:,6] + k[395]*y[:,28] + k[399]*y[:,29] + k[404]*y[:,32] + k[406]*y[:,34] + k[514]*y[:,2] + 2*k[803] + k[805]
- dfdy[indx[4], indx[26]] = k[204]*y[:,0]
- dfdy[indx[4], indx[27]] = k[206]*y[:,0]
- dfdy[indx[4], indx[28]] = -M*k[709]*y[:,4] + k[258]*y[:,2] + k[276]*y[:,17] + k[279]*y[:,32] + k[395]*y[:,25] - k[792]*y[:,4]
- dfdy[indx[4], indx[29]] = -k[257]*y[:,4] - k[259]*y[:,4] + k[271]*y[:,2] + k[324]*y[:,17] + k[376]*y[:,32] + k[399]*y[:,25]
- dfdy[indx[4], indx[30]] = k[265]*y[:,2] - k[275]*y[:,4] - k[288]*y[:,4]
- dfdy[indx[4], indx[31]] = -k[266]*y[:,4] - k[290]*y[:,4] - k[323]*y[:,4] - k[477]*y[:,4]
- dfdy[indx[4], indx[32]] = -M*k[677]*y[:,4] + M*k[710] + k[260]*y[:,0] + k[279]*y[:,28] + k[287]*y[:,6] + k[289]*y[:,5] + k[310]*y[:,3] + k[376]*y[:,29] - k[396]*y[:,4] + k[404]*y[:,25] + k[452]*y[:,2] + k[791] - k[794]*y[:,4]
- dfdy[indx[4], indx[33]] = k[262]*y[:,2] - k[272]*y[:,4] - k[309]*y[:,4] - k[493]*y[:,4]
- dfdy[indx[4], indx[34]] = -M*k[680]*y[:,4] - k[280]*y[:,4] + k[350]*y[:,2] + k[406]*y[:,25]
+ dfdy[indx[4], indx[25]] = 2*M*k[776] + k[198]*y[:,3] + k[382]*y[:,8] + k[383]*y[:,6] + k[393]*y[:,28] + k[397]*y[:,29] + k[402]*y[:,32] + k[404]*y[:,34] + k[512]*y[:,0] + k[649]*y[:,67] + 2*k[865] + k[867]
+ dfdy[indx[4], indx[26]] = k[204]*y[:,3]
+ dfdy[indx[4], indx[27]] = k[206]*y[:,3]
+ dfdy[indx[4], indx[28]] = -M*k[773]*y[:,4] + k[258]*y[:,0] + k[276]*y[:,17] + k[279]*y[:,32] + k[393]*y[:,25] + k[607]*y[:,43] - k[854]*y[:,4]
+ dfdy[indx[4], indx[29]] = -k[257]*y[:,4] - k[259]*y[:,4] + k[271]*y[:,0] + k[322]*y[:,17] + k[374]*y[:,32] + k[397]*y[:,25]
+ dfdy[indx[4], indx[30]] = k[265]*y[:,0] - k[275]*y[:,4] - k[288]*y[:,4]
+ dfdy[indx[4], indx[31]] = -k[266]*y[:,4] - k[290]*y[:,4] - k[321]*y[:,4] - k[475]*y[:,4] + k[546]*y[:,21]
+ dfdy[indx[4], indx[32]] = -M*k[727]*y[:,4] + M*k[774] + k[260]*y[:,3] + k[279]*y[:,28] + k[287]*y[:,6] + k[289]*y[:,5] + k[310]*y[:,1] + k[374]*y[:,29] - k[394]*y[:,4] + k[402]*y[:,25] + k[450]*y[:,0] - k[650]*y[:,4] + k[853] - k[856]*y[:,4]
+ dfdy[indx[4], indx[33]] = k[262]*y[:,0] - k[272]*y[:,4] - k[309]*y[:,4] - k[491]*y[:,4]
+ dfdy[indx[4], indx[34]] = -M*k[730]*y[:,4] - k[280]*y[:,4] + k[348]*y[:,0] + k[404]*y[:,25] + k[631]*y[:,65] - k[632]*y[:,4]
dfdy[indx[4], indx[35]] = -k[261]*y[:,4]
- dfdy[indx[4], indx[36]] = 0
- dfdy[indx[4], indx[37]] = k[340]*y[:,2] - k[357]*y[:,4]
- dfdy[indx[4], indx[38]] = -k[349]*y[:,4] + k[358]*y[:,2] - k[375]*y[:,4]
- dfdy[indx[4], indx[39]] = -k[339]*y[:,4]
- dfdy[indx[4], indx[40]] = 0
- dfdy[indx[4], indx[41]] = -k[400]*y[:,4] - k[451]*y[:,4] + k[494]*y[:,0]
- dfdy[indx[4], indx[42]] = -k[483]*y[:,4]
- dfdy[indx[4], indx[43]] = M*k[678] - k[403]*y[:,4] + k[793]
- dfdy[indx[4], indx[44]] = M*k[679] - k[405]*y[:,4]
+ dfdy[indx[4], indx[36]] = k[338]*y[:,0] - k[355]*y[:,4]
+ dfdy[indx[4], indx[37]] = -k[347]*y[:,4] + k[356]*y[:,0] - k[373]*y[:,4]
+ dfdy[indx[4], indx[38]] = -k[337]*y[:,4]
+ dfdy[indx[4], indx[39]] = 0
+ dfdy[indx[4], indx[40]] = -k[398]*y[:,4] - k[449]*y[:,4] + k[492]*y[:,3]
+ dfdy[indx[4], indx[41]] = 0
+ dfdy[indx[4], indx[42]] = -k[481]*y[:,4]
+ dfdy[indx[4], indx[43]] = M*k[728] - k[401]*y[:,4] + k[607]*y[:,28] + k[855]
+ dfdy[indx[4], indx[44]] = M*k[729] - k[403]*y[:,4] - k[608]*y[:,4]
dfdy[indx[4], indx[45]] = 0
dfdy[indx[4], indx[46]] = 0
dfdy[indx[4], indx[47]] = 0
dfdy[indx[4], indx[48]] = 0
- dfdy[indx[4], indx[49]] = k[444]*y[:,0]
+ dfdy[indx[4], indx[49]] = k[442]*y[:,3]
dfdy[indx[4], indx[50]] = 0
- dfdy[indx[4], indx[51]] = k[478]*y[:,0] + k[484]*y[:,2]
- dfdy[indx[4], indx[52]] = k[499]*y[:,0] + k[506]*y[:,2] - k[513]*y[:,4] + k[801]
- dfdy[indx[4], indx[53]] = -k[505]*y[:,4]
+ dfdy[indx[4], indx[51]] = k[476]*y[:,3] + k[482]*y[:,0]
+ dfdy[indx[4], indx[52]] = k[497]*y[:,3] + k[504]*y[:,0] - k[511]*y[:,4] + k[863]
+ dfdy[indx[4], indx[53]] = -k[503]*y[:,4]
dfdy[indx[4], indx[54]] = 0
- dfdy[indx[4], indx[55]] = -k[535]*y[:,4]
- dfdy[indx[4], indx[56]] = k[536]*y[:,2]
+ dfdy[indx[4], indx[55]] = -k[533]*y[:,4]
+ dfdy[indx[4], indx[56]] = k[534]*y[:,0] - k[545]*y[:,4]
dfdy[indx[4], indx[57]] = 0
dfdy[indx[4], indx[58]] = 0
dfdy[indx[4], indx[59]] = 0
- dfdy[indx[4], indx[60]] = k[581]*y[:,18] - k[806]*y[:,4]
+ dfdy[indx[4], indx[60]] = 0
dfdy[indx[4], indx[61]] = 0
dfdy[indx[4], indx[62]] = 0
dfdy[indx[4], indx[63]] = 0
dfdy[indx[4], indx[64]] = 0
- dfdy[indx[5], indx[0]] = -M*k[613]*y[:,5] + M*k[628]*y[:,6] + k[104]*y[:,17] + k[16]*y[:,10] + k[220]*y[:,30] + k[22]*y[:,11] + k[28]*y[:,14] + k[442]*y[:,20] + k[572]*y[:,59] - k[734]*y[:,3]*y[:,5] - k[7]*y[:,5] - k[814]*y[:,5] + k[9]*y[:,7]
- dfdy[indx[5], indx[1]] = -M*k[647]*y[:,5] - k[114]*y[:,5] - k[441]*y[:,5]
- dfdy[indx[5], indx[2]] = k[102]*y[:,6] + k[113]*y[:,7]
- dfdy[indx[5], indx[3]] = -M*k[631]*y[:,5] - k[10]*y[:,5] + k[40]*y[:,11] - k[734]*y[:,0]*y[:,5] - k[736]*y[:,5] + k[8]*y[:,6]
+ dfdy[indx[4], indx[65]] = k[623]*y[:,18] + k[631]*y[:,34] - k[868]*y[:,4]
+ dfdy[indx[4], indx[66]] = 0
+ dfdy[indx[4], indx[67]] = k[649]*y[:,25]
+ dfdy[indx[4], indx[68]] = 0
+ dfdy[indx[5], indx[0]] = k[102]*y[:,6] + k[113]*y[:,7]
+ dfdy[indx[5], indx[1]] = -M*k[681]*y[:,5] - k[10]*y[:,5] + k[40]*y[:,11] - k[796]*y[:,3]*y[:,5] - k[798]*y[:,5] + k[8]*y[:,6]
+ dfdy[indx[5], indx[2]] = -M*k[697]*y[:,5] - k[114]*y[:,5] - k[439]*y[:,5]
+ dfdy[indx[5], indx[3]] = -M*k[663]*y[:,5] + M*k[678]*y[:,6] + k[104]*y[:,17] + k[16]*y[:,10] + k[220]*y[:,30] + k[22]*y[:,11] + k[28]*y[:,14] + k[440]*y[:,20] + k[572]*y[:,59] + k[584]*y[:,61] - k[796]*y[:,1]*y[:,5] - k[7]*y[:,5] - k[872]*y[:,5] + k[9]*y[:,7]
dfdy[indx[5], indx[4]] = -k[101]*y[:,5] - k[103]*y[:,5] + k[290]*y[:,31] + k[81]*y[:,12]
- dfdy[indx[5], indx[5]] = -M*k[613]*y[:,0] - M*k[627] - M*k[631]*y[:,3] - M*k[647]*y[:,1] - k[101]*y[:,4] - k[103]*y[:,4] - k[10]*y[:,3] - k[114]*y[:,1] - k[135]*y[:,18] - k[15]*y[:,6] - k[169]*y[:,14] - k[217]*y[:,28] - k[219]*y[:,28] - k[21]*y[:,7] - k[222]*y[:,29] - k[236]*y[:,31] - k[27]*y[:,9] - k[289]*y[:,32] - k[291]*y[:,32] - k[315]*y[:,35] - k[39]*y[:,8] - k[441]*y[:,1] - k[46]*y[:,8] - k[571]*y[:,11] - k[734]*y[:,0]*y[:,3] - k[736]*y[:,3] - k[78]*y[:,11] - k[7]*y[:,0] - k[814]*y[:,0] - k[82]*y[:,17]
- dfdy[indx[5], indx[6]] = M*k[628]*y[:,0] + k[102]*y[:,2] - k[15]*y[:,5] + k[218]*y[:,29] + k[8]*y[:,3]
- dfdy[indx[5], indx[7]] = M*k[614] + k[113]*y[:,2] - k[21]*y[:,5] + k[221]*y[:,28] + k[235]*y[:,30] + k[316]*y[:,33] + 2*k[45]*y[:,7] + k[77]*y[:,12] + k[813] + k[9]*y[:,0]
- dfdy[indx[5], indx[8]] = M*k[632] + k[170]*y[:,11] - k[39]*y[:,5] - k[46]*y[:,5] + k[735]
- dfdy[indx[5], indx[9]] = -k[27]*y[:,5] + k[733]
- dfdy[indx[5], indx[10]] = k[16]*y[:,0]
- dfdy[indx[5], indx[11]] = k[170]*y[:,8] + k[22]*y[:,0] + k[40]*y[:,3] - k[571]*y[:,5] - k[78]*y[:,5]
+ dfdy[indx[5], indx[5]] = -M*k[663]*y[:,3] - M*k[677] - M*k[681]*y[:,1] - M*k[697]*y[:,2] - k[101]*y[:,4] - k[103]*y[:,4] - k[10]*y[:,1] - k[114]*y[:,2] - k[135]*y[:,18] - k[15]*y[:,6] - k[169]*y[:,14] - k[217]*y[:,28] - k[219]*y[:,28] - k[21]*y[:,7] - k[222]*y[:,29] - k[236]*y[:,31] - k[27]*y[:,9] - k[289]*y[:,32] - k[291]*y[:,32] - k[315]*y[:,35] - k[39]*y[:,8] - k[439]*y[:,2] - k[46]*y[:,8] - k[571]*y[:,11] - k[583]*y[:,58] - k[78]*y[:,11] - k[796]*y[:,1]*y[:,3] - k[798]*y[:,1] - k[7]*y[:,3] - k[82]*y[:,17] - k[872]*y[:,3]
+ dfdy[indx[5], indx[6]] = M*k[678]*y[:,3] + k[102]*y[:,0] - k[15]*y[:,5] + k[218]*y[:,29] + k[8]*y[:,1]
+ dfdy[indx[5], indx[7]] = M*k[664] + k[113]*y[:,0] - k[21]*y[:,5] + k[221]*y[:,28] + k[235]*y[:,30] + k[316]*y[:,33] + 2*k[45]*y[:,7] + k[77]*y[:,12] + k[871] + k[9]*y[:,3]
+ dfdy[indx[5], indx[8]] = M*k[682] + k[170]*y[:,11] - k[39]*y[:,5] - k[46]*y[:,5] + k[797]
+ dfdy[indx[5], indx[9]] = -k[27]*y[:,5] + k[795]
+ dfdy[indx[5], indx[10]] = k[16]*y[:,3]
+ dfdy[indx[5], indx[11]] = k[170]*y[:,8] + k[22]*y[:,3] + k[40]*y[:,1] - k[571]*y[:,5] - k[78]*y[:,5]
dfdy[indx[5], indx[12]] = k[77]*y[:,7] + k[81]*y[:,4]
dfdy[indx[5], indx[13]] = 0
- dfdy[indx[5], indx[14]] = -k[169]*y[:,5] + k[28]*y[:,0]
+ dfdy[indx[5], indx[14]] = -k[169]*y[:,5] + k[28]*y[:,3]
dfdy[indx[5], indx[15]] = 0
dfdy[indx[5], indx[16]] = 0
- dfdy[indx[5], indx[17]] = k[104]*y[:,0] + k[136]*y[:,21] + k[292]*y[:,29] - k[82]*y[:,5]
+ dfdy[indx[5], indx[17]] = k[104]*y[:,3] + k[136]*y[:,21] + k[292]*y[:,29] - k[82]*y[:,5]
dfdy[indx[5], indx[18]] = -k[135]*y[:,5]
- dfdy[indx[5], indx[19]] = M*k[648]
- dfdy[indx[5], indx[20]] = k[442]*y[:,0]
+ dfdy[indx[5], indx[19]] = M*k[698]
+ dfdy[indx[5], indx[20]] = k[440]*y[:,3]
dfdy[indx[5], indx[21]] = k[136]*y[:,17]
dfdy[indx[5], indx[22]] = 0
dfdy[indx[5], indx[23]] = 0
@@ -3580,7 +3842,7 @@ def symjac(y, M, k):
dfdy[indx[5], indx[27]] = 0
dfdy[indx[5], indx[28]] = -k[217]*y[:,5] - k[219]*y[:,5] + k[221]*y[:,7]
dfdy[indx[5], indx[29]] = k[218]*y[:,6] - k[222]*y[:,5] + k[292]*y[:,17]
- dfdy[indx[5], indx[30]] = k[220]*y[:,0] + k[235]*y[:,7]
+ dfdy[indx[5], indx[30]] = k[220]*y[:,3] + k[235]*y[:,7]
dfdy[indx[5], indx[31]] = -k[236]*y[:,5] + k[290]*y[:,4]
dfdy[indx[5], indx[32]] = -k[289]*y[:,5] - k[291]*y[:,5]
dfdy[indx[5], indx[33]] = k[316]*y[:,7]
@@ -3608,31 +3870,35 @@ def symjac(y, M, k):
dfdy[indx[5], indx[55]] = 0
dfdy[indx[5], indx[56]] = 0
dfdy[indx[5], indx[57]] = 0
- dfdy[indx[5], indx[58]] = 0
- dfdy[indx[5], indx[59]] = k[572]*y[:,0]
+ dfdy[indx[5], indx[58]] = -k[583]*y[:,5]
+ dfdy[indx[5], indx[59]] = k[572]*y[:,3]
dfdy[indx[5], indx[60]] = 0
- dfdy[indx[5], indx[61]] = 0
+ dfdy[indx[5], indx[61]] = k[584]*y[:,3]
dfdy[indx[5], indx[62]] = 0
dfdy[indx[5], indx[63]] = 0
dfdy[indx[5], indx[64]] = 0
- dfdy[indx[6], indx[0]] = -M*k[628]*y[:,6] + k[112]*y[:,17] + k[16]*y[:,10] + k[18]*y[:,11] + k[302]*y[:,30] + k[7]*y[:,5]
- dfdy[indx[6], indx[1]] = 0
- dfdy[indx[6], indx[2]] = -k[102]*y[:,6] - k[111]*y[:,6]
- dfdy[indx[6], indx[3]] = -M*k[625]*y[:,6] - k[8]*y[:,6]
- dfdy[indx[6], indx[4]] = -M*k[705]*y[:,6] + k[101]*y[:,5] + k[288]*y[:,30] + k[386]*y[:,17] + k[41]*y[:,10] - k[740]*y[:,6]
- dfdy[indx[6], indx[5]] = M*k[627] + k[101]*y[:,4] - k[15]*y[:,6] + k[217]*y[:,28] + k[7]*y[:,0]
- dfdy[indx[6], indx[6]] = -M*k[625]*y[:,3] - M*k[628]*y[:,0] - 4*M*k[689]*y[:,6] - M*k[705]*y[:,4] - k[102]*y[:,2] - k[111]*y[:,2] - k[15]*y[:,5] - k[17]*y[:,8] - k[218]*y[:,29] - k[226]*y[:,30] - k[284]*y[:,34] - k[287]*y[:,32] - k[301]*y[:,29] - k[385]*y[:,25] - k[42]*y[:,17] - k[740]*y[:,4] - k[8]*y[:,3]
- dfdy[indx[6], indx[7]] = M*k[626]
+ dfdy[indx[5], indx[65]] = 0
+ dfdy[indx[5], indx[66]] = 0
+ dfdy[indx[5], indx[67]] = 0
+ dfdy[indx[5], indx[68]] = 0
+ dfdy[indx[6], indx[0]] = -k[102]*y[:,6] - k[111]*y[:,6]
+ dfdy[indx[6], indx[1]] = -M*k[675]*y[:,6] - k[8]*y[:,6]
+ dfdy[indx[6], indx[2]] = 0
+ dfdy[indx[6], indx[3]] = -M*k[678]*y[:,6] + k[112]*y[:,17] + k[16]*y[:,10] + k[18]*y[:,11] + k[302]*y[:,30] + k[7]*y[:,5]
+ dfdy[indx[6], indx[4]] = -M*k[769]*y[:,6] + k[101]*y[:,5] + k[288]*y[:,30] + k[384]*y[:,17] + k[41]*y[:,10] - k[802]*y[:,6]
+ dfdy[indx[6], indx[5]] = M*k[677] + k[101]*y[:,4] - k[15]*y[:,6] + k[217]*y[:,28] + k[7]*y[:,3]
+ dfdy[indx[6], indx[6]] = -M*k[675]*y[:,1] - M*k[678]*y[:,3] - 4*M*k[739]*y[:,6] - M*k[769]*y[:,4] - k[102]*y[:,0] - k[111]*y[:,0] - k[15]*y[:,5] - k[17]*y[:,8] - k[218]*y[:,29] - k[226]*y[:,30] - k[284]*y[:,34] - k[287]*y[:,32] - k[301]*y[:,29] - k[383]*y[:,25] - k[42]*y[:,17] - k[593]*y[:,11] - k[802]*y[:,4] - k[8]*y[:,1]
+ dfdy[indx[6], indx[7]] = M*k[676]
dfdy[indx[6], indx[8]] = -k[17]*y[:,6]
dfdy[indx[6], indx[9]] = 0
- dfdy[indx[6], indx[10]] = 2*M*k[690] + k[16]*y[:,0] + k[225]*y[:,28] + k[41]*y[:,4]
- dfdy[indx[6], indx[11]] = k[18]*y[:,0]
+ dfdy[indx[6], indx[10]] = 2*M*k[740] + k[16]*y[:,3] + k[225]*y[:,28] + k[41]*y[:,4]
+ dfdy[indx[6], indx[11]] = k[18]*y[:,3] - k[593]*y[:,6]
dfdy[indx[6], indx[12]] = 0
dfdy[indx[6], indx[13]] = 0
dfdy[indx[6], indx[14]] = 0
dfdy[indx[6], indx[15]] = 0
dfdy[indx[6], indx[16]] = 0
- dfdy[indx[6], indx[17]] = M*k[706] + k[112]*y[:,0] + k[386]*y[:,4] - k[42]*y[:,6] + k[739]
+ dfdy[indx[6], indx[17]] = M*k[770] + k[112]*y[:,3] + k[384]*y[:,4] - k[42]*y[:,6] + k[801]
dfdy[indx[6], indx[18]] = 0
dfdy[indx[6], indx[19]] = 0
dfdy[indx[6], indx[20]] = 0
@@ -3640,12 +3906,12 @@ def symjac(y, M, k):
dfdy[indx[6], indx[22]] = 0
dfdy[indx[6], indx[23]] = 0
dfdy[indx[6], indx[24]] = 0
- dfdy[indx[6], indx[25]] = -k[385]*y[:,6]
+ dfdy[indx[6], indx[25]] = -k[383]*y[:,6]
dfdy[indx[6], indx[26]] = 0
dfdy[indx[6], indx[27]] = 0
dfdy[indx[6], indx[28]] = k[217]*y[:,5] + k[225]*y[:,10] + k[283]*y[:,30]
dfdy[indx[6], indx[29]] = -k[218]*y[:,6] - k[301]*y[:,6]
- dfdy[indx[6], indx[30]] = -k[226]*y[:,6] + k[283]*y[:,28] + k[288]*y[:,4] + k[302]*y[:,0]
+ dfdy[indx[6], indx[30]] = -k[226]*y[:,6] + k[283]*y[:,28] + k[288]*y[:,4] + k[302]*y[:,3]
dfdy[indx[6], indx[31]] = 0
dfdy[indx[6], indx[32]] = -k[287]*y[:,6]
dfdy[indx[6], indx[33]] = 0
@@ -3674,55 +3940,59 @@ def symjac(y, M, k):
dfdy[indx[6], indx[56]] = 0
dfdy[indx[6], indx[57]] = 0
dfdy[indx[6], indx[58]] = 0
- dfdy[indx[6], indx[59]] = 0
+ dfdy[indx[6], indx[59]] = k[594]
dfdy[indx[6], indx[60]] = 0
dfdy[indx[6], indx[61]] = 0
dfdy[indx[6], indx[62]] = 0
dfdy[indx[6], indx[63]] = 0
dfdy[indx[6], indx[64]] = 0
- dfdy[indx[7], indx[0]] = M*k[613]*y[:,5] - M*k[629]*y[:,7] + k[12]*y[:,8] + 2*k[148]*y[:,0]*y[:,17] + k[150]*y[:,20] + k[207]*y[:,27] + k[224]*y[:,31] + k[22]*y[:,11] + k[30]*y[:,14] + k[364]*y[:,42] + 4*k[44]*y[:,0]*y[:,11] + 2*k[48]*y[:,13] + k[568]*y[:,58] + k[570]*y[:,59] + k[814]*y[:,5] - k[9]*y[:,7]
- dfdy[indx[7], indx[1]] = k[114]*y[:,5] + k[388]*y[:,17] - k[54]*y[:,7] + k[593]*y[:,61] - k[594]*y[:,7]
- dfdy[indx[7], indx[2]] = -k[106]*y[:,7] - k[113]*y[:,7] - k[149]*y[:,7] + k[178]*y[:,14] + k[53]*y[:,8] + k[55]*y[:,12]
- dfdy[indx[7], indx[3]] = M*k[625]*y[:,6] + k[10]*y[:,5] - k[11]*y[:,7] + k[174]*y[:,17] + k[566]*y[:,59] + k[591]*y[:,61] - k[592]*y[:,7]
- dfdy[indx[7], indx[4]] = k[105]*y[:,8] - k[147]*y[:,7] - k[173]*y[:,7] + k[57]*y[:,11]
- dfdy[indx[7], indx[5]] = M*k[613]*y[:,0] + k[10]*y[:,3] + k[114]*y[:,1] - k[21]*y[:,7] + k[222]*y[:,29] + k[236]*y[:,31] + k[315]*y[:,35] + 2*k[46]*y[:,8] + k[78]*y[:,11] + k[814]*y[:,0]
- dfdy[indx[7], indx[6]] = M*k[625]*y[:,3]
- dfdy[indx[7], indx[7]] = -M*k[614] - M*k[626] - M*k[629]*y[:,0] - k[106]*y[:,2] - k[113]*y[:,2] - k[11]*y[:,3] - k[147]*y[:,4] - k[149]*y[:,2] - k[151]*y[:,18] - k[171]*y[:,13] - k[173]*y[:,4] - k[175]*y[:,21] - k[177]*y[:,19] - k[179]*y[:,19] - k[181]*y[:,22] - k[183]*y[:,23] - k[185]*y[:,23] - k[208]*y[:,17] - k[21]*y[:,5] - k[221]*y[:,28] - k[223]*y[:,28] - k[235]*y[:,30] - k[242]*y[:,31] - k[285]*y[:,34] - k[29]*y[:,8] - k[316]*y[:,33] - k[363]*y[:,32] - k[374]*y[:,35] - k[387]*y[:,25] - 4*k[43]*y[:,7] - 4*k[45]*y[:,7] - 4*k[47]*y[:,7] - k[49]*y[:,9] - k[51]*y[:,15] - k[54]*y[:,1] - k[565]*y[:,11] - k[567]*y[:,11] - k[569]*y[:,12] - k[56]*y[:,17] - k[58]*y[:,17] - k[592]*y[:,3] - k[594]*y[:,1] - k[596]*y[:,17] - k[60]*y[:,11] - k[77]*y[:,12] - k[813] - k[9]*y[:,0]
- dfdy[indx[7], indx[8]] = M*k[630] + k[105]*y[:,4] + k[12]*y[:,0] + k[172]*y[:,11] + k[176]*y[:,17] + k[180]*y[:,20] + k[182]*y[:,20] + k[184]*y[:,22] + k[186]*y[:,19] + k[241]*y[:,30] - k[29]*y[:,7] + k[373]*y[:,33] + 2*k[46]*y[:,5] + 2*k[50]*y[:,8] + k[52]*y[:,14] + k[53]*y[:,2] + k[59]*y[:,12]
+ dfdy[indx[6], indx[65]] = 0
+ dfdy[indx[6], indx[66]] = 0
+ dfdy[indx[6], indx[67]] = 0
+ dfdy[indx[6], indx[68]] = 0
+ dfdy[indx[7], indx[0]] = -k[106]*y[:,7] - k[113]*y[:,7] - k[149]*y[:,7] + k[178]*y[:,14] + k[53]*y[:,8] + k[55]*y[:,12]
+ dfdy[indx[7], indx[1]] = M*k[675]*y[:,6] + k[10]*y[:,5] - k[11]*y[:,7] + k[174]*y[:,17] + k[566]*y[:,59] + k[635]*y[:,66] - k[636]*y[:,7]
+ dfdy[indx[7], indx[2]] = k[114]*y[:,5] + k[386]*y[:,17] - k[54]*y[:,7] + k[637]*y[:,66] - k[638]*y[:,7]
+ dfdy[indx[7], indx[3]] = M*k[663]*y[:,5] - M*k[679]*y[:,7] + k[12]*y[:,8] + 2*k[148]*y[:,17]*y[:,3] + k[150]*y[:,20] + k[207]*y[:,27] + k[224]*y[:,31] + k[22]*y[:,11] + k[30]*y[:,14] + k[362]*y[:,42] + 4*k[44]*y[:,11]*y[:,3] + 2*k[48]*y[:,13] + k[568]*y[:,58] + k[570]*y[:,59] + k[872]*y[:,5] - k[9]*y[:,7]
+ dfdy[indx[7], indx[4]] = k[105]*y[:,8] - k[147]*y[:,7] - k[173]*y[:,7] + k[57]*y[:,11] + k[595]*y[:,14] + k[597]*y[:,13]
+ dfdy[indx[7], indx[5]] = M*k[663]*y[:,3] + k[10]*y[:,1] + k[114]*y[:,2] - k[21]*y[:,7] + k[222]*y[:,29] + k[236]*y[:,31] + k[315]*y[:,35] + 2*k[46]*y[:,8] + k[78]*y[:,11] + k[872]*y[:,3]
+ dfdy[indx[7], indx[6]] = M*k[675]*y[:,1]
+ dfdy[indx[7], indx[7]] = -M*k[664] - M*k[676] - M*k[679]*y[:,3] - M*k[757]*y[:,11] - k[106]*y[:,0] - k[113]*y[:,0] - k[11]*y[:,1] - k[147]*y[:,4] - k[149]*y[:,0] - k[151]*y[:,18] - k[171]*y[:,13] - k[173]*y[:,4] - k[175]*y[:,21] - k[177]*y[:,19] - k[179]*y[:,19] - k[181]*y[:,22] - k[183]*y[:,23] - k[185]*y[:,23] - k[208]*y[:,17] - k[21]*y[:,5] - k[221]*y[:,28] - k[223]*y[:,28] - k[235]*y[:,30] - k[242]*y[:,31] - k[285]*y[:,34] - k[29]*y[:,8] - k[316]*y[:,33] - k[361]*y[:,32] - k[372]*y[:,35] - k[385]*y[:,25] - 4*k[43]*y[:,7] - 4*k[45]*y[:,7] - 4*k[47]*y[:,7] - k[49]*y[:,9] - k[51]*y[:,15] - k[54]*y[:,2] - k[565]*y[:,11] - k[567]*y[:,11] - k[569]*y[:,12] - k[56]*y[:,17] - k[58]*y[:,17] - k[596]*y[:,20] - k[598]*y[:,21] - k[60]*y[:,11] - k[636]*y[:,1] - k[638]*y[:,2] - k[640]*y[:,17] - k[77]*y[:,12] - k[871] - k[9]*y[:,3]
+ dfdy[indx[7], indx[8]] = M*k[680] + k[105]*y[:,4] + k[12]*y[:,3] + k[172]*y[:,11] + k[176]*y[:,17] + k[180]*y[:,20] + k[182]*y[:,20] + k[184]*y[:,22] + k[186]*y[:,19] + k[241]*y[:,30] - k[29]*y[:,7] + k[371]*y[:,33] + 2*k[46]*y[:,5] + 2*k[50]*y[:,8] + k[52]*y[:,14] + k[53]*y[:,0] + k[59]*y[:,12]
dfdy[indx[7], indx[9]] = -k[49]*y[:,7]
dfdy[indx[7], indx[10]] = 0
- dfdy[indx[7], indx[11]] = k[172]*y[:,8] + k[22]*y[:,0] + 2*k[44]*y[:,0]**2 - k[565]*y[:,7] - k[567]*y[:,7] + k[57]*y[:,4] - k[60]*y[:,7] + k[78]*y[:,5]
- dfdy[indx[7], indx[12]] = k[55]*y[:,2] - k[569]*y[:,7] + k[59]*y[:,8] - k[77]*y[:,7]
- dfdy[indx[7], indx[13]] = -k[171]*y[:,7] + 2*k[48]*y[:,0]
- dfdy[indx[7], indx[14]] = k[178]*y[:,2] + k[30]*y[:,0] + k[52]*y[:,8]
+ dfdy[indx[7], indx[11]] = -M*k[757]*y[:,7] + k[172]*y[:,8] + k[22]*y[:,3] + 2*k[44]*y[:,3]**2 - k[565]*y[:,7] - k[567]*y[:,7] + k[57]*y[:,4] - k[60]*y[:,7] + k[78]*y[:,5]
+ dfdy[indx[7], indx[12]] = k[55]*y[:,0] - k[569]*y[:,7] + k[59]*y[:,8] - k[77]*y[:,7]
+ dfdy[indx[7], indx[13]] = -k[171]*y[:,7] + 2*k[48]*y[:,3] + k[597]*y[:,4]
+ dfdy[indx[7], indx[14]] = k[178]*y[:,0] + k[30]*y[:,3] + k[52]*y[:,8] + k[595]*y[:,4]
dfdy[indx[7], indx[15]] = -k[51]*y[:,7]
dfdy[indx[7], indx[16]] = 0
- dfdy[indx[7], indx[17]] = k[148]*y[:,0]**2 + k[152]*y[:,20] + k[174]*y[:,3] + k[176]*y[:,8] - k[208]*y[:,7] + k[388]*y[:,1] - k[56]*y[:,7] - k[58]*y[:,7] + k[595]*y[:,61] - k[596]*y[:,7]
+ dfdy[indx[7], indx[17]] = k[148]*y[:,3]**2 + k[152]*y[:,20] + k[174]*y[:,1] + k[176]*y[:,8] - k[208]*y[:,7] + k[386]*y[:,2] - k[56]*y[:,7] - k[58]*y[:,7] + k[639]*y[:,66] - k[640]*y[:,7]
dfdy[indx[7], indx[18]] = -k[151]*y[:,7]
dfdy[indx[7], indx[19]] = -k[177]*y[:,7] - k[179]*y[:,7] + k[186]*y[:,8]
- dfdy[indx[7], indx[20]] = k[150]*y[:,0] + k[152]*y[:,17] + k[180]*y[:,8] + k[182]*y[:,8]
- dfdy[indx[7], indx[21]] = -k[175]*y[:,7]
+ dfdy[indx[7], indx[20]] = k[150]*y[:,3] + k[152]*y[:,17] + k[180]*y[:,8] + k[182]*y[:,8] - k[596]*y[:,7]
+ dfdy[indx[7], indx[21]] = -k[175]*y[:,7] - k[598]*y[:,7]
dfdy[indx[7], indx[22]] = -k[181]*y[:,7] + k[184]*y[:,8]
dfdy[indx[7], indx[23]] = -k[183]*y[:,7] - k[185]*y[:,7]
dfdy[indx[7], indx[24]] = 0
- dfdy[indx[7], indx[25]] = -k[387]*y[:,7]
+ dfdy[indx[7], indx[25]] = -k[385]*y[:,7]
dfdy[indx[7], indx[26]] = 0
- dfdy[indx[7], indx[27]] = k[207]*y[:,0]
+ dfdy[indx[7], indx[27]] = k[207]*y[:,3]
dfdy[indx[7], indx[28]] = -k[221]*y[:,7] - k[223]*y[:,7]
dfdy[indx[7], indx[29]] = k[222]*y[:,5] + k[286]*y[:,31]
dfdy[indx[7], indx[30]] = -k[235]*y[:,7] + k[241]*y[:,8]
- dfdy[indx[7], indx[31]] = k[224]*y[:,0] + k[236]*y[:,5] - k[242]*y[:,7] + k[286]*y[:,29]
- dfdy[indx[7], indx[32]] = -k[363]*y[:,7]
- dfdy[indx[7], indx[33]] = -k[316]*y[:,7] + k[373]*y[:,8]
+ dfdy[indx[7], indx[31]] = k[224]*y[:,3] + k[236]*y[:,5] - k[242]*y[:,7] + k[286]*y[:,29]
+ dfdy[indx[7], indx[32]] = -k[361]*y[:,7]
+ dfdy[indx[7], indx[33]] = -k[316]*y[:,7] + k[371]*y[:,8]
dfdy[indx[7], indx[34]] = -k[285]*y[:,7]
- dfdy[indx[7], indx[35]] = k[315]*y[:,5] - k[374]*y[:,7]
+ dfdy[indx[7], indx[35]] = k[315]*y[:,5] - k[372]*y[:,7]
dfdy[indx[7], indx[36]] = 0
dfdy[indx[7], indx[37]] = 0
dfdy[indx[7], indx[38]] = 0
dfdy[indx[7], indx[39]] = 0
dfdy[indx[7], indx[40]] = 0
dfdy[indx[7], indx[41]] = 0
- dfdy[indx[7], indx[42]] = k[364]*y[:,0]
+ dfdy[indx[7], indx[42]] = k[362]*y[:,3]
dfdy[indx[7], indx[43]] = 0
dfdy[indx[7], indx[44]] = 0
dfdy[indx[7], indx[45]] = 0
@@ -3738,96 +4008,104 @@ def symjac(y, M, k):
dfdy[indx[7], indx[55]] = 0
dfdy[indx[7], indx[56]] = 0
dfdy[indx[7], indx[57]] = 0
- dfdy[indx[7], indx[58]] = k[568]*y[:,0]
- dfdy[indx[7], indx[59]] = k[566]*y[:,3] + k[570]*y[:,0]
- dfdy[indx[7], indx[60]] = 0
- dfdy[indx[7], indx[61]] = k[591]*y[:,3] + k[593]*y[:,1] + k[595]*y[:,17]
+ dfdy[indx[7], indx[58]] = k[568]*y[:,3]
+ dfdy[indx[7], indx[59]] = k[566]*y[:,1] + k[570]*y[:,3]
+ dfdy[indx[7], indx[60]] = M*k[758]
+ dfdy[indx[7], indx[61]] = 0
dfdy[indx[7], indx[62]] = 0
dfdy[indx[7], indx[63]] = 0
dfdy[indx[7], indx[64]] = 0
- dfdy[indx[8], indx[0]] = -M*k[615]*y[:,8] + M*k[629]*y[:,7] + k[121]*y[:,19] - k[12]*y[:,8] + k[138]*y[:,20] + k[13]*y[:,9] + k[145]*y[:,23] + k[18]*y[:,11] + k[193]*y[:,24] + k[201]*y[:,26] + k[30]*y[:,14] + 2*k[31]*y[:,15] + k[370]*y[:,36] + k[436]*y[:,46] + k[529]*y[:,55] + k[574]*y[:,58] - k[590]*y[:,8] - k[728]*y[:,8] + k[738]*y[:,61]
- dfdy[indx[8], indx[1]] = -k[116]*y[:,8] - k[146]*y[:,8] + k[294]*y[:,31] + k[54]*y[:,7]
- dfdy[indx[8], indx[2]] = -M*k[719]*y[:,8] + k[106]*y[:,7] - k[107]*y[:,8] + k[115]*y[:,9] - k[122]*y[:,8] + k[380]*y[:,36] + k[390]*y[:,20] - k[53]*y[:,8] - k[578]*y[:,8] + k[71]*y[:,11] - k[774]*y[:,8]
- dfdy[indx[8], indx[3]] = M*k[631]*y[:,5] + k[11]*y[:,7] - k[14]*y[:,8] + k[372]*y[:,31] + k[40]*y[:,11] + k[434]*y[:,47] + k[589]*y[:,61] + k[736]*y[:,5]
- dfdy[indx[8], indx[4]] = -k[105]*y[:,8] + k[108]*y[:,9] + k[125]*y[:,14] - k[137]*y[:,8] + k[383]*y[:,22]
- dfdy[indx[8], indx[5]] = M*k[631]*y[:,3] + k[169]*y[:,14] - k[39]*y[:,8] - k[46]*y[:,8] + k[736]*y[:,3]
+ dfdy[indx[7], indx[65]] = 0
+ dfdy[indx[7], indx[66]] = k[635]*y[:,1] + k[637]*y[:,2] + k[639]*y[:,17]
+ dfdy[indx[7], indx[67]] = 0
+ dfdy[indx[7], indx[68]] = 0
+ dfdy[indx[8], indx[0]] = -M*k[781]*y[:,8] + k[106]*y[:,7] - k[107]*y[:,8] + k[115]*y[:,9] - k[122]*y[:,8] + k[378]*y[:,41] + k[388]*y[:,20] - k[53]*y[:,8] - k[620]*y[:,8] - k[653]*y[:,8] + k[71]*y[:,11] - k[836]*y[:,8]
+ dfdy[indx[8], indx[1]] = M*k[681]*y[:,5] + k[11]*y[:,7] - k[14]*y[:,8] + k[370]*y[:,31] + k[40]*y[:,11] + k[432]*y[:,47] + k[633]*y[:,66] + k[798]*y[:,5]
+ dfdy[indx[8], indx[2]] = -k[116]*y[:,8] - k[146]*y[:,8] + k[294]*y[:,31] + k[54]*y[:,7] + k[654]*y[:,66]
+ dfdy[indx[8], indx[3]] = -M*k[665]*y[:,8] + M*k[679]*y[:,7] + k[121]*y[:,19] - k[12]*y[:,8] + k[138]*y[:,20] + k[13]*y[:,9] + k[145]*y[:,23] + k[18]*y[:,11] + k[193]*y[:,24] + k[201]*y[:,26] + k[30]*y[:,14] + 2*k[31]*y[:,15] + k[368]*y[:,41] + k[434]*y[:,46] + k[527]*y[:,55] + k[574]*y[:,58] + k[582]*y[:,60] + k[612]*y[:,56] - k[634]*y[:,8] - k[790]*y[:,8] + k[800]*y[:,66]
+ dfdy[indx[8], indx[4]] = -k[105]*y[:,8] + k[108]*y[:,9] + k[125]*y[:,14] - k[137]*y[:,8] + k[381]*y[:,22]
+ dfdy[indx[8], indx[5]] = M*k[681]*y[:,1] + k[169]*y[:,14] - k[39]*y[:,8] - k[46]*y[:,8] + k[798]*y[:,1]
dfdy[indx[8], indx[6]] = -k[17]*y[:,8]
- dfdy[indx[8], indx[7]] = M*k[629]*y[:,0] + k[106]*y[:,2] + k[11]*y[:,3] + k[171]*y[:,13] + k[175]*y[:,21] + k[179]*y[:,19] + k[181]*y[:,22] + k[183]*y[:,23] + k[185]*y[:,23] + k[242]*y[:,31] - k[29]*y[:,8] + k[374]*y[:,35] + 2*k[45]*y[:,7] + 2*k[49]*y[:,9] + k[51]*y[:,15] + k[54]*y[:,1] + k[60]*y[:,11]
- dfdy[indx[8], indx[8]] = -M*k[615]*y[:,0] - M*k[630] - M*k[632] - 4*M*k[633]*y[:,8] - M*k[655]*y[:,17] - M*k[683]*y[:,33] - M*k[719]*y[:,2] - k[105]*y[:,4] - k[107]*y[:,2] - k[116]*y[:,1] - k[122]*y[:,2] - k[126]*y[:,21] - k[127]*y[:,20] - k[129]*y[:,19] - k[12]*y[:,0] - k[137]*y[:,4] - k[146]*y[:,1] - k[14]*y[:,3] - k[154]*y[:,18] - k[170]*y[:,11] - k[172]*y[:,11] - k[176]*y[:,17] - k[17]*y[:,6] - k[180]*y[:,20] - k[182]*y[:,20] - k[184]*y[:,22] - k[186]*y[:,19] - k[187]*y[:,21] - k[189]*y[:,22] - k[191]*y[:,23] - k[194]*y[:,21] - k[195]*y[:,24] - k[202]*y[:,17] - k[237]*y[:,29] - k[239]*y[:,33] - k[241]*y[:,30] - k[244]*y[:,31] - k[293]*y[:,32] - k[29]*y[:,7] - k[308]*y[:,35] - 4*k[32]*y[:,8] - k[333]*y[:,37] - k[369]*y[:,28] - k[371]*y[:,28] - k[373]*y[:,33] - k[379]*y[:,32] - k[384]*y[:,25] - k[389]*y[:,25] - k[39]*y[:,5] - k[415]*y[:,43] - k[425]*y[:,46] - k[433]*y[:,33] - k[435]*y[:,33] - k[437]*y[:,48] - k[46]*y[:,5] - 4*k[50]*y[:,8] - k[516]*y[:,52] - k[52]*y[:,14] - k[530]*y[:,31] - k[53]*y[:,2] - k[548]*y[:,53] - k[554]*y[:,58] - k[556]*y[:,58] - k[573]*y[:,12] - k[578]*y[:,2] - k[590]*y[:,0] - k[59]*y[:,12] - k[62]*y[:,11] - k[63]*y[:,13] - k[66]*y[:,14] - k[67]*y[:,15] - k[69]*y[:,16] - k[728]*y[:,0] - k[72]*y[:,17] - k[735] - k[737] - 4*k[764]*y[:,8] - k[76]*y[:,12] - k[774]*y[:,2] - k[782]*y[:,21]
- dfdy[indx[8], indx[9]] = M*k[616] + k[108]*y[:,4] + k[115]*y[:,2] + k[128]*y[:,21] + k[130]*y[:,20] + k[13]*y[:,0] + k[188]*y[:,17] + k[190]*y[:,20] + k[192]*y[:,22] + k[238]*y[:,28] + k[240]*y[:,29] + k[243]*y[:,30] + k[307]*y[:,33] + k[334]*y[:,38] + k[438]*y[:,46] + 2*k[49]*y[:,7] + k[515]*y[:,25] + k[547]*y[:,52] + k[577]*y[:,60] + k[61]*y[:,12] + k[64]*y[:,11] + k[65]*y[:,13] + k[68]*y[:,14] + k[70]*y[:,15] + k[727] + k[75]*y[:,10]
+ dfdy[indx[8], indx[7]] = M*k[679]*y[:,3] + k[106]*y[:,0] + k[11]*y[:,1] + k[171]*y[:,13] + k[175]*y[:,21] + k[179]*y[:,19] + k[181]*y[:,22] + k[183]*y[:,23] + k[185]*y[:,23] + k[242]*y[:,31] - k[29]*y[:,8] + k[372]*y[:,35] + 2*k[45]*y[:,7] + 2*k[49]*y[:,9] + k[51]*y[:,15] + k[54]*y[:,2] + k[60]*y[:,11]
+ dfdy[indx[8], indx[8]] = -M*k[665]*y[:,3] - M*k[680] - M*k[682] - 4*M*k[683]*y[:,8] - M*k[705]*y[:,17] - M*k[733]*y[:,33] - M*k[781]*y[:,0] - k[105]*y[:,4] - k[107]*y[:,0] - k[116]*y[:,2] - k[122]*y[:,0] - k[126]*y[:,21] - k[127]*y[:,20] - k[129]*y[:,19] - k[12]*y[:,3] - k[137]*y[:,4] - k[146]*y[:,2] - k[14]*y[:,1] - k[154]*y[:,18] - k[170]*y[:,11] - k[172]*y[:,11] - k[176]*y[:,17] - k[17]*y[:,6] - k[180]*y[:,20] - k[182]*y[:,20] - k[184]*y[:,22] - k[186]*y[:,19] - k[187]*y[:,21] - k[189]*y[:,22] - k[191]*y[:,23] - k[194]*y[:,21] - k[195]*y[:,24] - k[202]*y[:,17] - k[237]*y[:,29] - k[239]*y[:,33] - k[241]*y[:,30] - k[244]*y[:,31] - k[293]*y[:,32] - k[29]*y[:,7] - k[308]*y[:,35] - 4*k[32]*y[:,8] - k[331]*y[:,36] - k[367]*y[:,28] - k[369]*y[:,28] - k[371]*y[:,33] - k[377]*y[:,32] - k[382]*y[:,25] - k[387]*y[:,25] - k[39]*y[:,5] - k[413]*y[:,43] - k[423]*y[:,46] - k[431]*y[:,33] - k[433]*y[:,33] - k[435]*y[:,48] - k[46]*y[:,5] - 4*k[50]*y[:,8] - k[513]*y[:,52] - k[528]*y[:,31] - k[52]*y[:,14] - k[53]*y[:,0] - k[548]*y[:,53] - k[554]*y[:,58] - k[556]*y[:,58] - k[573]*y[:,12] - k[579]*y[:,38] - k[581]*y[:,11] - k[592]*y[:,63] - k[59]*y[:,12] - k[611]*y[:,30] - k[620]*y[:,0] - k[62]*y[:,11] - k[634]*y[:,3] - k[63]*y[:,13] - k[653]*y[:,0] - k[66]*y[:,14] - k[67]*y[:,15] - k[69]*y[:,16] - k[72]*y[:,17] - k[76]*y[:,12] - k[790]*y[:,3] - k[797] - k[799] - 4*k[826]*y[:,8] - k[836]*y[:,0] - k[844]*y[:,21]
+ dfdy[indx[8], indx[9]] = M*k[666] + k[108]*y[:,4] + k[115]*y[:,0] + k[128]*y[:,21] + k[130]*y[:,20] + k[13]*y[:,3] + k[188]*y[:,17] + k[190]*y[:,20] + k[192]*y[:,22] + k[238]*y[:,28] + k[240]*y[:,29] + k[243]*y[:,30] + k[307]*y[:,33] + k[332]*y[:,37] + k[436]*y[:,46] + 2*k[49]*y[:,7] + k[514]*y[:,25] + k[547]*y[:,52] + k[580]*y[:,36] + k[591]*y[:,64] + k[619]*y[:,65] + k[61]*y[:,12] + k[64]*y[:,11] + k[65]*y[:,13] + k[68]*y[:,14] + k[70]*y[:,15] + k[75]*y[:,10] + k[789]
dfdy[indx[8], indx[10]] = k[75]*y[:,9]
- dfdy[indx[8], indx[11]] = -k[170]*y[:,8] - k[172]*y[:,8] + k[18]*y[:,0] + k[40]*y[:,3] + k[60]*y[:,7] - k[62]*y[:,8] + k[64]*y[:,9] + k[71]*y[:,2]
+ dfdy[indx[8], indx[11]] = -k[170]*y[:,8] - k[172]*y[:,8] + k[18]*y[:,3] + k[40]*y[:,1] - k[581]*y[:,8] + k[60]*y[:,7] - k[62]*y[:,8] + k[64]*y[:,9] + k[71]*y[:,0]
dfdy[indx[8], indx[12]] = k[553]*y[:,15] - k[573]*y[:,8] - k[59]*y[:,8] + k[61]*y[:,9] - k[76]*y[:,8]
dfdy[indx[8], indx[13]] = k[171]*y[:,7] + 2*k[555]*y[:,13] - k[63]*y[:,8] + k[65]*y[:,9]
- dfdy[indx[8], indx[14]] = k[125]*y[:,4] + k[169]*y[:,5] + k[30]*y[:,0] - k[52]*y[:,8] - k[66]*y[:,8] + k[68]*y[:,9]
- dfdy[indx[8], indx[15]] = 2*k[31]*y[:,0] + k[426]*y[:,33] + k[51]*y[:,7] + k[553]*y[:,12] - k[67]*y[:,8] + k[70]*y[:,9]
- dfdy[indx[8], indx[16]] = 2*M*k[634] + k[196]*y[:,17] - k[69]*y[:,8] + 2*k[763]
- dfdy[indx[8], indx[17]] = -M*k[655]*y[:,8] + k[153]*y[:,22] - k[176]*y[:,8] + k[188]*y[:,9] + k[196]*y[:,16] - k[202]*y[:,8] - k[72]*y[:,8]
+ dfdy[indx[8], indx[14]] = k[125]*y[:,4] + k[169]*y[:,5] + k[30]*y[:,3] - k[52]*y[:,8] - k[66]*y[:,8] + k[68]*y[:,9]
+ dfdy[indx[8], indx[15]] = 2*k[31]*y[:,3] + k[424]*y[:,33] + k[51]*y[:,7] + k[553]*y[:,12] - k[67]*y[:,8] + k[70]*y[:,9]
+ dfdy[indx[8], indx[16]] = 2*M*k[684] + k[196]*y[:,17] - k[69]*y[:,8] + 2*k[825]
+ dfdy[indx[8], indx[17]] = -M*k[705]*y[:,8] + k[153]*y[:,22] - k[176]*y[:,8] + k[188]*y[:,9] + k[196]*y[:,16] - k[202]*y[:,8] - k[72]*y[:,8]
dfdy[indx[8], indx[18]] = -k[154]*y[:,8]
- dfdy[indx[8], indx[19]] = k[121]*y[:,0] - k[129]*y[:,8] + k[179]*y[:,7] - k[186]*y[:,8]
- dfdy[indx[8], indx[20]] = -k[127]*y[:,8] + k[130]*y[:,9] + k[138]*y[:,0] - k[180]*y[:,8] - k[182]*y[:,8] + k[190]*y[:,9] + k[390]*y[:,2]
- dfdy[indx[8], indx[21]] = -k[126]*y[:,8] + k[128]*y[:,9] + k[175]*y[:,7] - k[187]*y[:,8] - k[194]*y[:,8] - k[782]*y[:,8]
- dfdy[indx[8], indx[22]] = k[153]*y[:,17] + k[181]*y[:,7] - k[184]*y[:,8] - k[189]*y[:,8] + k[192]*y[:,9] + k[383]*y[:,4] + k[416]*y[:,32]
- dfdy[indx[8], indx[23]] = M*k[720] + k[145]*y[:,0] + k[183]*y[:,7] + k[185]*y[:,7] - k[191]*y[:,8] + k[773]
- dfdy[indx[8], indx[24]] = M*k[656] + k[193]*y[:,0] - k[195]*y[:,8]
- dfdy[indx[8], indx[25]] = -k[384]*y[:,8] - k[389]*y[:,8] + k[515]*y[:,9]
- dfdy[indx[8], indx[26]] = k[201]*y[:,0]
+ dfdy[indx[8], indx[19]] = k[121]*y[:,3] - k[129]*y[:,8] + k[179]*y[:,7] - k[186]*y[:,8]
+ dfdy[indx[8], indx[20]] = -k[127]*y[:,8] + k[130]*y[:,9] + k[138]*y[:,3] - k[180]*y[:,8] - k[182]*y[:,8] + k[190]*y[:,9] + k[388]*y[:,0]
+ dfdy[indx[8], indx[21]] = -k[126]*y[:,8] + k[128]*y[:,9] + k[175]*y[:,7] - k[187]*y[:,8] - k[194]*y[:,8] - k[844]*y[:,8]
+ dfdy[indx[8], indx[22]] = k[153]*y[:,17] + k[181]*y[:,7] - k[184]*y[:,8] - k[189]*y[:,8] + k[192]*y[:,9] + k[381]*y[:,4] + k[414]*y[:,32]
+ dfdy[indx[8], indx[23]] = M*k[782] + k[145]*y[:,3] + k[183]*y[:,7] + k[185]*y[:,7] - k[191]*y[:,8] + k[835]
+ dfdy[indx[8], indx[24]] = M*k[706] + k[193]*y[:,3] - k[195]*y[:,8]
+ dfdy[indx[8], indx[25]] = -k[382]*y[:,8] - k[387]*y[:,8] + k[514]*y[:,9]
+ dfdy[indx[8], indx[26]] = k[201]*y[:,3]
dfdy[indx[8], indx[27]] = 0
- dfdy[indx[8], indx[28]] = k[238]*y[:,9] - k[369]*y[:,8] - k[371]*y[:,8]
+ dfdy[indx[8], indx[28]] = k[238]*y[:,9] - k[367]*y[:,8] - k[369]*y[:,8]
dfdy[indx[8], indx[29]] = -k[237]*y[:,8] + k[240]*y[:,9]
- dfdy[indx[8], indx[30]] = -k[241]*y[:,8] + k[243]*y[:,9]
- dfdy[indx[8], indx[31]] = k[242]*y[:,7] - k[244]*y[:,8] + k[294]*y[:,1] + k[372]*y[:,3] - k[530]*y[:,8]
- dfdy[indx[8], indx[32]] = -k[293]*y[:,8] - k[379]*y[:,8] + k[416]*y[:,22]
- dfdy[indx[8], indx[33]] = -M*k[683]*y[:,8] - k[239]*y[:,8] + k[307]*y[:,9] - k[373]*y[:,8] + k[426]*y[:,15] - k[433]*y[:,8] - k[435]*y[:,8]
+ dfdy[indx[8], indx[30]] = -k[241]*y[:,8] + k[243]*y[:,9] - k[611]*y[:,8]
+ dfdy[indx[8], indx[31]] = k[242]*y[:,7] - k[244]*y[:,8] + k[294]*y[:,2] + k[370]*y[:,1] - k[528]*y[:,8]
+ dfdy[indx[8], indx[32]] = -k[293]*y[:,8] - k[377]*y[:,8] + k[414]*y[:,22]
+ dfdy[indx[8], indx[33]] = -M*k[733]*y[:,8] - k[239]*y[:,8] + k[307]*y[:,9] - k[371]*y[:,8] + k[424]*y[:,15] - k[431]*y[:,8] - k[433]*y[:,8]
dfdy[indx[8], indx[34]] = 0
- dfdy[indx[8], indx[35]] = -k[308]*y[:,8] + k[374]*y[:,7]
- dfdy[indx[8], indx[36]] = k[370]*y[:,0] + k[380]*y[:,2]
- dfdy[indx[8], indx[37]] = -k[333]*y[:,8]
- dfdy[indx[8], indx[38]] = k[334]*y[:,9]
+ dfdy[indx[8], indx[35]] = -k[308]*y[:,8] + k[372]*y[:,7]
+ dfdy[indx[8], indx[36]] = -k[331]*y[:,8] + k[580]*y[:,9]
+ dfdy[indx[8], indx[37]] = k[332]*y[:,9]
+ dfdy[indx[8], indx[38]] = -k[579]*y[:,8]
dfdy[indx[8], indx[39]] = 0
dfdy[indx[8], indx[40]] = 0
- dfdy[indx[8], indx[41]] = 0
+ dfdy[indx[8], indx[41]] = k[368]*y[:,3] + k[378]*y[:,0]
dfdy[indx[8], indx[42]] = 0
- dfdy[indx[8], indx[43]] = -k[415]*y[:,8]
+ dfdy[indx[8], indx[43]] = -k[413]*y[:,8]
dfdy[indx[8], indx[44]] = 0
dfdy[indx[8], indx[45]] = 0
- dfdy[indx[8], indx[46]] = -k[425]*y[:,8] + k[436]*y[:,0] + k[438]*y[:,9]
- dfdy[indx[8], indx[47]] = k[434]*y[:,3]
- dfdy[indx[8], indx[48]] = M*k[684] - k[437]*y[:,8]
- dfdy[indx[8], indx[49]] = k[781]
+ dfdy[indx[8], indx[46]] = -k[423]*y[:,8] + k[434]*y[:,3] + k[436]*y[:,9]
+ dfdy[indx[8], indx[47]] = k[432]*y[:,1]
+ dfdy[indx[8], indx[48]] = M*k[734] - k[435]*y[:,8]
+ dfdy[indx[8], indx[49]] = k[843]
dfdy[indx[8], indx[50]] = 0
dfdy[indx[8], indx[51]] = 0
- dfdy[indx[8], indx[52]] = -k[516]*y[:,8] + k[547]*y[:,9]
+ dfdy[indx[8], indx[52]] = -k[513]*y[:,8] + k[547]*y[:,9]
dfdy[indx[8], indx[53]] = -k[548]*y[:,8]
dfdy[indx[8], indx[54]] = 0
- dfdy[indx[8], indx[55]] = k[529]*y[:,0]
- dfdy[indx[8], indx[56]] = 0
+ dfdy[indx[8], indx[55]] = k[527]*y[:,3]
+ dfdy[indx[8], indx[56]] = k[612]*y[:,3]
dfdy[indx[8], indx[57]] = 0
- dfdy[indx[8], indx[58]] = -k[554]*y[:,8] - k[556]*y[:,8] + k[574]*y[:,0]
+ dfdy[indx[8], indx[58]] = -k[554]*y[:,8] - k[556]*y[:,8] + k[574]*y[:,3]
dfdy[indx[8], indx[59]] = 0
- dfdy[indx[8], indx[60]] = k[577]*y[:,9]
- dfdy[indx[8], indx[61]] = k[589]*y[:,3] + k[738]*y[:,0]
+ dfdy[indx[8], indx[60]] = k[582]*y[:,3]
+ dfdy[indx[8], indx[61]] = 0
dfdy[indx[8], indx[62]] = 0
- dfdy[indx[8], indx[63]] = 0
- dfdy[indx[8], indx[64]] = 0
- dfdy[indx[9], indx[0]] = M*k[615]*y[:,8] - k[13]*y[:,9] + k[28]*y[:,14] + k[728]*y[:,8] + 2*k[732]*y[:,0]*y[:,61] + k[734]*y[:,3]*y[:,5]
- dfdy[indx[9], indx[1]] = k[116]*y[:,8]
- dfdy[indx[9], indx[2]] = k[107]*y[:,8] - k[115]*y[:,9] + k[578]*y[:,8]
- dfdy[indx[9], indx[3]] = k[14]*y[:,8] + k[730]*y[:,61] + k[734]*y[:,0]*y[:,5]
+ dfdy[indx[8], indx[63]] = -k[592]*y[:,8]
+ dfdy[indx[8], indx[64]] = k[591]*y[:,9]
+ dfdy[indx[8], indx[65]] = k[619]*y[:,9]
+ dfdy[indx[8], indx[66]] = k[633]*y[:,1] + k[654]*y[:,2] + k[800]*y[:,3]
+ dfdy[indx[8], indx[67]] = 0
+ dfdy[indx[8], indx[68]] = 0
+ dfdy[indx[9], indx[0]] = k[107]*y[:,8] - k[115]*y[:,9] + k[620]*y[:,8]
+ dfdy[indx[9], indx[1]] = k[14]*y[:,8] + k[792]*y[:,66] + k[796]*y[:,3]*y[:,5]
+ dfdy[indx[9], indx[2]] = k[116]*y[:,8]
+ dfdy[indx[9], indx[3]] = M*k[665]*y[:,8] - k[13]*y[:,9] + k[28]*y[:,14] + k[790]*y[:,8] + 2*k[794]*y[:,3]*y[:,66] + k[796]*y[:,1]*y[:,5]
dfdy[indx[9], indx[4]] = -k[108]*y[:,9]
- dfdy[indx[9], indx[5]] = -k[27]*y[:,9] + k[734]*y[:,0]*y[:,3]
+ dfdy[indx[9], indx[5]] = -k[27]*y[:,9] + k[796]*y[:,1]*y[:,3]
dfdy[indx[9], indx[6]] = 0
dfdy[indx[9], indx[7]] = -k[49]*y[:,9]
- dfdy[indx[9], indx[8]] = M*k[615]*y[:,0] + k[107]*y[:,2] + k[116]*y[:,1] + k[127]*y[:,20] + k[129]*y[:,19] + k[14]*y[:,3] + k[187]*y[:,21] + k[189]*y[:,22] + k[191]*y[:,23] + k[237]*y[:,29] + k[239]*y[:,33] + k[244]*y[:,31] + k[308]*y[:,35] + k[333]*y[:,37] + k[437]*y[:,48] + 2*k[50]*y[:,8] + k[516]*y[:,52] + k[548]*y[:,53] + k[578]*y[:,2] + k[62]*y[:,11] + k[63]*y[:,13] + k[66]*y[:,14] + k[67]*y[:,15] + k[69]*y[:,16] + k[728]*y[:,0] + k[76]*y[:,12]
- dfdy[indx[9], indx[9]] = -M*k[616] - k[108]*y[:,4] - k[115]*y[:,2] - k[128]*y[:,21] - k[130]*y[:,20] - k[13]*y[:,0] - k[188]*y[:,17] - k[190]*y[:,20] - k[192]*y[:,22] - k[238]*y[:,28] - k[240]*y[:,29] - k[243]*y[:,30] - k[27]*y[:,5] - k[307]*y[:,33] - k[334]*y[:,38] - k[438]*y[:,46] - k[49]*y[:,7] - k[515]*y[:,25] - k[547]*y[:,52] - k[577]*y[:,60] - k[61]*y[:,12] - k[64]*y[:,11] - k[65]*y[:,13] - k[68]*y[:,14] - k[70]*y[:,15] - k[727] - k[729] - k[731] - k[733] - k[75]*y[:,10] - k[762]*y[:,61] - k[780]*y[:,17]
+ dfdy[indx[9], indx[8]] = M*k[665]*y[:,3] + k[107]*y[:,0] + k[116]*y[:,2] + k[127]*y[:,20] + k[129]*y[:,19] + k[14]*y[:,1] + k[187]*y[:,21] + k[189]*y[:,22] + k[191]*y[:,23] + k[237]*y[:,29] + k[239]*y[:,33] + k[244]*y[:,31] + k[308]*y[:,35] + k[331]*y[:,36] + k[435]*y[:,48] + 2*k[50]*y[:,8] + k[513]*y[:,52] + k[548]*y[:,53] + k[579]*y[:,38] + k[592]*y[:,63] + k[620]*y[:,0] + k[62]*y[:,11] + k[63]*y[:,13] + k[66]*y[:,14] + k[67]*y[:,15] + k[69]*y[:,16] + k[76]*y[:,12] + k[790]*y[:,3]
+ dfdy[indx[9], indx[9]] = -M*k[666] - k[108]*y[:,4] - k[115]*y[:,0] - k[128]*y[:,21] - k[130]*y[:,20] - k[13]*y[:,3] - k[188]*y[:,17] - k[190]*y[:,20] - k[192]*y[:,22] - k[238]*y[:,28] - k[240]*y[:,29] - k[243]*y[:,30] - k[27]*y[:,5] - k[307]*y[:,33] - k[332]*y[:,37] - k[436]*y[:,46] - k[49]*y[:,7] - k[514]*y[:,25] - k[547]*y[:,52] - k[580]*y[:,36] - k[591]*y[:,64] - k[619]*y[:,65] - k[61]*y[:,12] - k[64]*y[:,11] - k[65]*y[:,13] - k[68]*y[:,14] - k[70]*y[:,15] - k[75]*y[:,10] - k[789] - k[791] - k[793] - k[795] - k[824]*y[:,66] - k[842]*y[:,17]
dfdy[indx[9], indx[10]] = -k[75]*y[:,9]
dfdy[indx[9], indx[11]] = k[62]*y[:,8] - k[64]*y[:,9]
dfdy[indx[9], indx[12]] = -k[61]*y[:,9] + k[76]*y[:,8]
dfdy[indx[9], indx[13]] = k[63]*y[:,8] - k[65]*y[:,9]
- dfdy[indx[9], indx[14]] = k[28]*y[:,0] + k[66]*y[:,8] - k[68]*y[:,9]
+ dfdy[indx[9], indx[14]] = k[28]*y[:,3] + k[66]*y[:,8] - k[68]*y[:,9]
dfdy[indx[9], indx[15]] = k[67]*y[:,8] - k[70]*y[:,9]
- dfdy[indx[9], indx[16]] = k[69]*y[:,8] + k[761]
- dfdy[indx[9], indx[17]] = -k[188]*y[:,9] - k[780]*y[:,9]
+ dfdy[indx[9], indx[16]] = k[69]*y[:,8] + k[823]
+ dfdy[indx[9], indx[17]] = -k[188]*y[:,9] - k[842]*y[:,9]
dfdy[indx[9], indx[18]] = 0
dfdy[indx[9], indx[19]] = k[129]*y[:,8]
dfdy[indx[9], indx[20]] = k[127]*y[:,8] - k[130]*y[:,9] - k[190]*y[:,9]
@@ -3835,7 +4113,7 @@ def symjac(y, M, k):
dfdy[indx[9], indx[22]] = k[189]*y[:,8] - k[192]*y[:,9]
dfdy[indx[9], indx[23]] = k[191]*y[:,8]
dfdy[indx[9], indx[24]] = 0
- dfdy[indx[9], indx[25]] = -k[515]*y[:,9]
+ dfdy[indx[9], indx[25]] = -k[514]*y[:,9]
dfdy[indx[9], indx[26]] = 0
dfdy[indx[9], indx[27]] = 0
dfdy[indx[9], indx[28]] = -k[238]*y[:,9]
@@ -3846,9 +4124,9 @@ def symjac(y, M, k):
dfdy[indx[9], indx[33]] = k[239]*y[:,8] - k[307]*y[:,9]
dfdy[indx[9], indx[34]] = 0
dfdy[indx[9], indx[35]] = k[308]*y[:,8]
- dfdy[indx[9], indx[36]] = 0
- dfdy[indx[9], indx[37]] = k[333]*y[:,8]
- dfdy[indx[9], indx[38]] = -k[334]*y[:,9]
+ dfdy[indx[9], indx[36]] = k[331]*y[:,8] - k[580]*y[:,9]
+ dfdy[indx[9], indx[37]] = -k[332]*y[:,9]
+ dfdy[indx[9], indx[38]] = k[579]*y[:,8]
dfdy[indx[9], indx[39]] = 0
dfdy[indx[9], indx[40]] = 0
dfdy[indx[9], indx[41]] = 0
@@ -3856,13 +4134,13 @@ def symjac(y, M, k):
dfdy[indx[9], indx[43]] = 0
dfdy[indx[9], indx[44]] = 0
dfdy[indx[9], indx[45]] = 0
- dfdy[indx[9], indx[46]] = -k[438]*y[:,9]
+ dfdy[indx[9], indx[46]] = -k[436]*y[:,9]
dfdy[indx[9], indx[47]] = 0
- dfdy[indx[9], indx[48]] = k[437]*y[:,8]
- dfdy[indx[9], indx[49]] = k[779]
+ dfdy[indx[9], indx[48]] = k[435]*y[:,8]
+ dfdy[indx[9], indx[49]] = k[841]
dfdy[indx[9], indx[50]] = 0
dfdy[indx[9], indx[51]] = 0
- dfdy[indx[9], indx[52]] = k[516]*y[:,8] - k[547]*y[:,9]
+ dfdy[indx[9], indx[52]] = k[513]*y[:,8] - k[547]*y[:,9]
dfdy[indx[9], indx[53]] = k[548]*y[:,8]
dfdy[indx[9], indx[54]] = 0
dfdy[indx[9], indx[55]] = 0
@@ -3870,24 +4148,28 @@ def symjac(y, M, k):
dfdy[indx[9], indx[57]] = 0
dfdy[indx[9], indx[58]] = 0
dfdy[indx[9], indx[59]] = 0
- dfdy[indx[9], indx[60]] = -k[577]*y[:,9]
- dfdy[indx[9], indx[61]] = k[730]*y[:,3] + k[732]*y[:,0]**2 - k[762]*y[:,9]
+ dfdy[indx[9], indx[60]] = 0
+ dfdy[indx[9], indx[61]] = 0
dfdy[indx[9], indx[62]] = 0
- dfdy[indx[9], indx[63]] = 0
- dfdy[indx[9], indx[64]] = 0
- dfdy[indx[10], indx[0]] = -M*k[704]*y[:,10] - k[16]*y[:,10] + k[74]*y[:,12]
- dfdy[indx[10], indx[1]] = 0
+ dfdy[indx[9], indx[63]] = k[592]*y[:,8]
+ dfdy[indx[9], indx[64]] = -k[591]*y[:,9]
+ dfdy[indx[9], indx[65]] = -k[619]*y[:,9]
+ dfdy[indx[9], indx[66]] = k[792]*y[:,1] + k[794]*y[:,3]**2 - k[824]*y[:,9]
+ dfdy[indx[9], indx[67]] = 0
+ dfdy[indx[9], indx[68]] = 0
+ dfdy[indx[10], indx[0]] = 0
+ dfdy[indx[10], indx[1]] = -k[73]*y[:,10]
dfdy[indx[10], indx[2]] = 0
- dfdy[indx[10], indx[3]] = -k[73]*y[:,10]
+ dfdy[indx[10], indx[3]] = -M*k[768]*y[:,10] - k[16]*y[:,10] + k[74]*y[:,12]
dfdy[indx[10], indx[4]] = -k[41]*y[:,10]
dfdy[indx[10], indx[5]] = k[15]*y[:,6]
- dfdy[indx[10], indx[6]] = 2*M*k[689]*y[:,6] + k[15]*y[:,5] + k[226]*y[:,30] + k[42]*y[:,17]
+ dfdy[indx[10], indx[6]] = 2*M*k[739]*y[:,6] + k[15]*y[:,5] + k[226]*y[:,30] + k[42]*y[:,17]
dfdy[indx[10], indx[7]] = 0
dfdy[indx[10], indx[8]] = k[76]*y[:,12]
dfdy[indx[10], indx[9]] = -k[75]*y[:,10]
- dfdy[indx[10], indx[10]] = -M*k[690] - M*k[704]*y[:,0] - k[16]*y[:,0] - k[225]*y[:,28] - k[245]*y[:,34] - k[41]*y[:,4] - k[541]*y[:,57] - k[543]*y[:,57] - k[73]*y[:,3] - k[75]*y[:,9] - k[812]*y[:,11]
- dfdy[indx[10], indx[11]] = k[544]*y[:,54] - k[812]*y[:,10]
- dfdy[indx[10], indx[12]] = M*k[703] + k[74]*y[:,0] + k[76]*y[:,8]
+ dfdy[indx[10], indx[10]] = -M*k[740] - M*k[768]*y[:,3] - k[16]*y[:,3] - k[225]*y[:,28] - k[245]*y[:,34] - k[41]*y[:,4] - k[539]*y[:,57] - k[541]*y[:,57] - k[73]*y[:,1] - k[75]*y[:,9] - k[870]*y[:,11]
+ dfdy[indx[10], indx[11]] = k[542]*y[:,54] - k[870]*y[:,10]
+ dfdy[indx[10], indx[12]] = M*k[767] + k[74]*y[:,3] + k[76]*y[:,8]
dfdy[indx[10], indx[13]] = 0
dfdy[indx[10], indx[14]] = 0
dfdy[indx[10], indx[15]] = 0
@@ -3906,7 +4188,7 @@ def symjac(y, M, k):
dfdy[indx[10], indx[28]] = -k[225]*y[:,10]
dfdy[indx[10], indx[29]] = 0
dfdy[indx[10], indx[30]] = k[226]*y[:,6] + 2*k[246]*y[:,30]
- dfdy[indx[10], indx[31]] = k[542]*y[:,45]
+ dfdy[indx[10], indx[31]] = k[540]*y[:,45]
dfdy[indx[10], indx[32]] = 0
dfdy[indx[10], indx[33]] = 0
dfdy[indx[10], indx[34]] = -k[245]*y[:,10]
@@ -3920,7 +4202,7 @@ def symjac(y, M, k):
dfdy[indx[10], indx[42]] = 0
dfdy[indx[10], indx[43]] = 0
dfdy[indx[10], indx[44]] = 0
- dfdy[indx[10], indx[45]] = k[542]*y[:,31] + k[811]
+ dfdy[indx[10], indx[45]] = k[540]*y[:,31] + k[869]
dfdy[indx[10], indx[46]] = 0
dfdy[indx[10], indx[47]] = 0
dfdy[indx[10], indx[48]] = 0
@@ -3929,10 +4211,10 @@ def symjac(y, M, k):
dfdy[indx[10], indx[51]] = 0
dfdy[indx[10], indx[52]] = 0
dfdy[indx[10], indx[53]] = 0
- dfdy[indx[10], indx[54]] = k[544]*y[:,11]
+ dfdy[indx[10], indx[54]] = k[542]*y[:,11]
dfdy[indx[10], indx[55]] = 0
dfdy[indx[10], indx[56]] = 0
- dfdy[indx[10], indx[57]] = -k[541]*y[:,10] - k[543]*y[:,10]
+ dfdy[indx[10], indx[57]] = -k[539]*y[:,10] - k[541]*y[:,10]
dfdy[indx[10], indx[58]] = 0
dfdy[indx[10], indx[59]] = 0
dfdy[indx[10], indx[60]] = 0
@@ -3940,23 +4222,27 @@ def symjac(y, M, k):
dfdy[indx[10], indx[62]] = 0
dfdy[indx[10], indx[63]] = 0
dfdy[indx[10], indx[64]] = 0
- dfdy[indx[11], indx[0]] = -M*k[617]*y[:,11] + M*k[635]*y[:,12] - k[18]*y[:,11] + k[206]*y[:,27] - k[20]*y[:,11] - k[22]*y[:,11] + k[23]*y[:,13] + k[420]*y[:,45] - 2*k[44]*y[:,0]*y[:,11] + k[526]*y[:,54] + k[568]*y[:,58] + k[572]*y[:,59] + k[598]*y[:,58] + k[744]*y[:,12] - 2*k[752]*y[:,0]*y[:,11]
- dfdy[indx[11], indx[1]] = -k[118]*y[:,11] + k[85]*y[:,12]
- dfdy[indx[11], indx[2]] = -M*k[653]*y[:,11] + k[117]*y[:,13] - k[168]*y[:,11] - k[71]*y[:,11] + k[83]*y[:,12] - k[86]*y[:,11]
- dfdy[indx[11], indx[3]] = -M*k[638]*y[:,11] + k[19]*y[:,12] - k[24]*y[:,11] - k[40]*y[:,11] + k[566]*y[:,59] - k[750]*y[:,11] - 2*k[760]*y[:,11]*y[:,3]
+ dfdy[indx[10], indx[65]] = 0
+ dfdy[indx[10], indx[66]] = 0
+ dfdy[indx[10], indx[67]] = 0
+ dfdy[indx[10], indx[68]] = 0
+ dfdy[indx[11], indx[0]] = -M*k[703]*y[:,11] + k[117]*y[:,13] - k[168]*y[:,11] - k[71]*y[:,11] + k[83]*y[:,12] - k[86]*y[:,11]
+ dfdy[indx[11], indx[1]] = -M*k[688]*y[:,11] + k[19]*y[:,12] - k[24]*y[:,11] - k[40]*y[:,11] + k[566]*y[:,59] - k[812]*y[:,11] - 2*k[822]*y[:,11]*y[:,1]
+ dfdy[indx[11], indx[2]] = -k[118]*y[:,11] + k[85]*y[:,12]
+ dfdy[indx[11], indx[3]] = -M*k[667]*y[:,11] + M*k[685]*y[:,12] - k[18]*y[:,11] + k[206]*y[:,27] - k[20]*y[:,11] - k[22]*y[:,11] + k[23]*y[:,13] + k[418]*y[:,45] - 2*k[44]*y[:,11]*y[:,3] + k[524]*y[:,54] + k[568]*y[:,58] + k[572]*y[:,59] + k[582]*y[:,60] + k[588]*y[:,63] + k[642]*y[:,58] + k[806]*y[:,12] - 2*k[814]*y[:,11]*y[:,3]
dfdy[indx[11], indx[4]] = k[167]*y[:,13] - k[205]*y[:,11] - k[57]*y[:,11] - k[84]*y[:,11]
dfdy[indx[11], indx[5]] = k[169]*y[:,14] + k[21]*y[:,7] + k[39]*y[:,8] - k[571]*y[:,11] - k[78]*y[:,11]
- dfdy[indx[11], indx[6]] = k[17]*y[:,8]
- dfdy[indx[11], indx[7]] = k[171]*y[:,13] + k[21]*y[:,5] + 2*k[43]*y[:,7] - k[565]*y[:,11] - k[567]*y[:,11] + k[58]*y[:,17] - k[60]*y[:,11] + k[77]*y[:,12]
- dfdy[indx[11], indx[8]] = -k[170]*y[:,11] - k[172]*y[:,11] + k[17]*y[:,6] + k[39]*y[:,5] + k[59]*y[:,12] - k[62]*y[:,11] + k[63]*y[:,13] + k[72]*y[:,17]
+ dfdy[indx[11], indx[6]] = k[17]*y[:,8] - k[593]*y[:,11]
+ dfdy[indx[11], indx[7]] = -M*k[757]*y[:,11] + k[171]*y[:,13] + k[21]*y[:,5] + 2*k[43]*y[:,7] - k[565]*y[:,11] - k[567]*y[:,11] + k[58]*y[:,17] - k[60]*y[:,11] + k[77]*y[:,12]
+ dfdy[indx[11], indx[8]] = -k[170]*y[:,11] - k[172]*y[:,11] + k[17]*y[:,6] + k[39]*y[:,5] - k[581]*y[:,11] + k[59]*y[:,12] - k[62]*y[:,11] + k[63]*y[:,13] + k[72]*y[:,17]
dfdy[indx[11], indx[9]] = k[61]*y[:,12] - k[64]*y[:,11]
- dfdy[indx[11], indx[10]] = k[543]*y[:,57] - k[812]*y[:,11]
- dfdy[indx[11], indx[11]] = -M*k[617]*y[:,0] - M*k[636] - M*k[638]*y[:,3] - M*k[653]*y[:,2] - k[118]*y[:,1] - k[158]*y[:,17] - k[160]*y[:,20] - k[162]*y[:,20] - k[164]*y[:,19] - k[166]*y[:,22] - k[168]*y[:,2] - k[170]*y[:,8] - k[172]*y[:,8] - k[18]*y[:,0] - k[205]*y[:,4] - k[20]*y[:,0] - k[22]*y[:,0] - k[248]*y[:,29] - k[24]*y[:,3] - k[250]*y[:,35] - k[40]*y[:,3] - k[419]*y[:,12] - k[44]*y[:,0]**2 - k[525]*y[:,30] - k[544]*y[:,54] - k[565]*y[:,7] - k[567]*y[:,7] - k[571]*y[:,5] - k[57]*y[:,4] - k[597]*y[:,61] - k[60]*y[:,7] - k[62]*y[:,8] - k[64]*y[:,9] - k[71]*y[:,2] - k[743] - k[750]*y[:,3] - k[752]*y[:,0]**2 - k[760]*y[:,3]**2 - k[78]*y[:,5] - k[80]*y[:,15] - 9*k[810]*y[:,11]**2 - k[812]*y[:,10] - k[84]*y[:,4] - k[86]*y[:,2] - k[88]*y[:,14] - k[92]*y[:,16]
- dfdy[indx[11], indx[12]] = M*k[635]*y[:,0] + k[157]*y[:,21] + k[159]*y[:,19] + k[161]*y[:,22] + k[163]*y[:,23] + k[165]*y[:,23] + k[19]*y[:,3] + k[247]*y[:,33] - k[419]*y[:,11] + k[59]*y[:,8] + k[61]*y[:,9] + k[744]*y[:,0] + k[77]*y[:,7] + k[79]*y[:,16] + k[83]*y[:,2] + k[85]*y[:,1]
- dfdy[indx[11], indx[13]] = M*k[618] + k[117]*y[:,2] + k[167]*y[:,4] + k[171]*y[:,7] + k[23]*y[:,0] + k[249]*y[:,33] + k[63]*y[:,8] + 2*k[87]*y[:,13] + k[91]*y[:,15]
- dfdy[indx[11], indx[14]] = M*k[637] + k[169]*y[:,5] + k[749] + k[751] - k[88]*y[:,11]
+ dfdy[indx[11], indx[10]] = k[541]*y[:,57] - k[870]*y[:,11]
+ dfdy[indx[11], indx[11]] = -M*k[667]*y[:,3] - M*k[686] - M*k[688]*y[:,1] - M*k[703]*y[:,0] - M*k[757]*y[:,7] - M*k[763]*y[:,61] - M*k[765]*y[:,13] - k[118]*y[:,2] - k[158]*y[:,17] - k[160]*y[:,20] - k[162]*y[:,20] - k[164]*y[:,19] - k[166]*y[:,22] - k[168]*y[:,0] - k[170]*y[:,8] - k[172]*y[:,8] - k[18]*y[:,3] - k[205]*y[:,4] - k[20]*y[:,3] - k[22]*y[:,3] - k[248]*y[:,29] - k[24]*y[:,1] - k[250]*y[:,35] - k[40]*y[:,1] - k[417]*y[:,12] - k[44]*y[:,3]**2 - k[523]*y[:,30] - k[542]*y[:,54] - k[565]*y[:,7] - k[567]*y[:,7] - k[571]*y[:,5] - k[57]*y[:,4] - k[581]*y[:,8] - k[587]*y[:,62] - k[593]*y[:,6] - k[60]*y[:,7] - k[62]*y[:,8] - k[641]*y[:,66] - k[64]*y[:,9] - k[71]*y[:,0] - k[78]*y[:,5] - k[805] - k[80]*y[:,15] - k[812]*y[:,1] - k[814]*y[:,3]**2 - k[822]*y[:,1]**2 - k[84]*y[:,4] - k[86]*y[:,0] - k[870]*y[:,10] - k[88]*y[:,14] - k[92]*y[:,16]
+ dfdy[indx[11], indx[12]] = M*k[685]*y[:,3] + k[157]*y[:,21] + k[159]*y[:,19] + k[161]*y[:,22] + k[163]*y[:,23] + k[165]*y[:,23] + k[19]*y[:,1] + k[247]*y[:,33] - k[417]*y[:,11] + k[59]*y[:,8] + k[61]*y[:,9] + k[77]*y[:,7] + k[79]*y[:,16] + k[806]*y[:,3] + k[83]*y[:,0] + k[85]*y[:,2]
+ dfdy[indx[11], indx[13]] = M*k[668] - M*k[765]*y[:,11] + k[117]*y[:,0] + k[167]*y[:,4] + k[171]*y[:,7] + k[23]*y[:,3] + k[249]*y[:,33] + k[63]*y[:,8] + 2*k[87]*y[:,13] + k[91]*y[:,15]
+ dfdy[indx[11], indx[14]] = M*k[687] + k[169]*y[:,5] + k[811] + k[813] - k[88]*y[:,11]
dfdy[indx[11], indx[15]] = -k[80]*y[:,11] + k[91]*y[:,13]
- dfdy[indx[11], indx[16]] = k[759] + k[79]*y[:,12] - k[92]*y[:,11]
+ dfdy[indx[11], indx[16]] = k[79]*y[:,12] + k[821] - k[92]*y[:,11]
dfdy[indx[11], indx[17]] = -k[158]*y[:,11] + k[58]*y[:,7] + k[72]*y[:,8]
dfdy[indx[11], indx[18]] = 0
dfdy[indx[11], indx[19]] = k[159]*y[:,12] - k[164]*y[:,11]
@@ -3964,13 +4250,13 @@ def symjac(y, M, k):
dfdy[indx[11], indx[21]] = k[157]*y[:,12]
dfdy[indx[11], indx[22]] = k[161]*y[:,12] - k[166]*y[:,11]
dfdy[indx[11], indx[23]] = k[163]*y[:,12] + k[165]*y[:,12]
- dfdy[indx[11], indx[24]] = M*k[654]
+ dfdy[indx[11], indx[24]] = M*k[704]
dfdy[indx[11], indx[25]] = 0
dfdy[indx[11], indx[26]] = 0
- dfdy[indx[11], indx[27]] = k[206]*y[:,0]
+ dfdy[indx[11], indx[27]] = k[206]*y[:,3]
dfdy[indx[11], indx[28]] = 0
dfdy[indx[11], indx[29]] = -k[248]*y[:,11]
- dfdy[indx[11], indx[30]] = -k[525]*y[:,11]
+ dfdy[indx[11], indx[30]] = -k[523]*y[:,11]
dfdy[indx[11], indx[31]] = 0
dfdy[indx[11], indx[32]] = 0
dfdy[indx[11], indx[33]] = k[247]*y[:,12] + k[249]*y[:,13]
@@ -3985,7 +4271,7 @@ def symjac(y, M, k):
dfdy[indx[11], indx[42]] = 0
dfdy[indx[11], indx[43]] = 0
dfdy[indx[11], indx[44]] = 0
- dfdy[indx[11], indx[45]] = k[420]*y[:,0] + k[811]
+ dfdy[indx[11], indx[45]] = k[418]*y[:,3] + k[869]
dfdy[indx[11], indx[46]] = 0
dfdy[indx[11], indx[47]] = 0
dfdy[indx[11], indx[48]] = 0
@@ -3994,49 +4280,53 @@ def symjac(y, M, k):
dfdy[indx[11], indx[51]] = 0
dfdy[indx[11], indx[52]] = 0
dfdy[indx[11], indx[53]] = 0
- dfdy[indx[11], indx[54]] = k[526]*y[:,0] - k[544]*y[:,11]
+ dfdy[indx[11], indx[54]] = k[524]*y[:,3] - k[542]*y[:,11]
dfdy[indx[11], indx[55]] = 0
dfdy[indx[11], indx[56]] = 0
- dfdy[indx[11], indx[57]] = k[543]*y[:,10]
- dfdy[indx[11], indx[58]] = k[568]*y[:,0] + k[598]*y[:,0]
- dfdy[indx[11], indx[59]] = k[566]*y[:,3] + k[572]*y[:,0]
- dfdy[indx[11], indx[60]] = 0
- dfdy[indx[11], indx[61]] = -k[597]*y[:,11]
- dfdy[indx[11], indx[62]] = 0
- dfdy[indx[11], indx[63]] = 0
- dfdy[indx[11], indx[64]] = 3*k[809]
- dfdy[indx[12], indx[0]] = -M*k[635]*y[:,12] + M*k[704]*y[:,10] + k[20]*y[:,11] + k[420]*y[:,45] + k[528]*y[:,54] + k[570]*y[:,59] + k[574]*y[:,58] - k[744]*y[:,12] - k[74]*y[:,12]
- dfdy[indx[12], indx[1]] = -k[85]*y[:,12]
- dfdy[indx[12], indx[2]] = -k[55]*y[:,12] + k[560]*y[:,58] - k[83]*y[:,12] + k[86]*y[:,11]
- dfdy[indx[12], indx[3]] = -k[19]*y[:,12] + k[73]*y[:,10]
+ dfdy[indx[11], indx[57]] = k[541]*y[:,10]
+ dfdy[indx[11], indx[58]] = k[568]*y[:,3] + k[642]*y[:,3]
+ dfdy[indx[11], indx[59]] = k[566]*y[:,1] + k[572]*y[:,3] + k[594]
+ dfdy[indx[11], indx[60]] = M*k[758] + k[582]*y[:,3]
+ dfdy[indx[11], indx[61]] = -M*k[763]*y[:,11]
+ dfdy[indx[11], indx[62]] = M*k[766] - k[587]*y[:,11]
+ dfdy[indx[11], indx[63]] = k[588]*y[:,3]
+ dfdy[indx[11], indx[64]] = M*k[764]
+ dfdy[indx[11], indx[65]] = 0
+ dfdy[indx[11], indx[66]] = -k[641]*y[:,11]
+ dfdy[indx[11], indx[67]] = 0
+ dfdy[indx[11], indx[68]] = 0
+ dfdy[indx[12], indx[0]] = -k[55]*y[:,12] + k[560]*y[:,58] - k[83]*y[:,12] + k[86]*y[:,11]
+ dfdy[indx[12], indx[1]] = -k[19]*y[:,12] + k[73]*y[:,10]
+ dfdy[indx[12], indx[2]] = -k[85]*y[:,12]
+ dfdy[indx[12], indx[3]] = -M*k[685]*y[:,12] + M*k[768]*y[:,10] + k[20]*y[:,11] + k[418]*y[:,45] + k[526]*y[:,54] + k[570]*y[:,59] + k[574]*y[:,58] + k[586]*y[:,62] - k[74]*y[:,12] - k[806]*y[:,12]
dfdy[indx[12], indx[4]] = -k[81]*y[:,12] + k[84]*y[:,11]
dfdy[indx[12], indx[5]] = k[78]*y[:,11] + k[82]*y[:,17]
dfdy[indx[12], indx[6]] = 0
dfdy[indx[12], indx[7]] = -k[569]*y[:,12] + k[56]*y[:,17] + k[60]*y[:,11] - k[77]*y[:,12]
dfdy[indx[12], indx[8]] = k[554]*y[:,58] - k[573]*y[:,12] - k[59]*y[:,12] + k[62]*y[:,11] - k[76]*y[:,12]
dfdy[indx[12], indx[9]] = -k[61]*y[:,12] + k[75]*y[:,10]
- dfdy[indx[12], indx[10]] = M*k[704]*y[:,0] + k[73]*y[:,3] + k[75]*y[:,9]
- dfdy[indx[12], indx[11]] = M*k[636] + k[158]*y[:,17] + k[160]*y[:,20] + k[162]*y[:,20] + k[164]*y[:,19] + k[166]*y[:,22] + k[20]*y[:,0] + k[248]*y[:,29] - k[419]*y[:,12] + k[60]*y[:,7] + k[62]*y[:,8] + k[743] + k[78]*y[:,5] + k[80]*y[:,15] + k[84]*y[:,4] + k[86]*y[:,2]
- dfdy[indx[12], indx[12]] = -M*k[635]*y[:,0] - M*k[703] - k[157]*y[:,21] - k[159]*y[:,19] - k[161]*y[:,22] - k[163]*y[:,23] - k[165]*y[:,23] - k[19]*y[:,3] - k[247]*y[:,33] - k[391]*y[:,25] - k[419]*y[:,11] - k[527]*y[:,31] - k[553]*y[:,15] - k[559]*y[:,19] - k[55]*y[:,2] - k[569]*y[:,7] - k[573]*y[:,8] - k[59]*y[:,8] - k[61]*y[:,9] - k[744]*y[:,0] - k[74]*y[:,0] - k[76]*y[:,8] - k[77]*y[:,7] - k[79]*y[:,16] - k[81]*y[:,4] - k[83]*y[:,2] - k[85]*y[:,1]
+ dfdy[indx[12], indx[10]] = M*k[768]*y[:,3] + k[73]*y[:,1] + k[75]*y[:,9]
+ dfdy[indx[12], indx[11]] = M*k[686] + k[158]*y[:,17] + k[160]*y[:,20] + k[162]*y[:,20] + k[164]*y[:,19] + k[166]*y[:,22] + k[20]*y[:,3] + k[248]*y[:,29] - k[417]*y[:,12] + k[60]*y[:,7] + k[62]*y[:,8] + k[78]*y[:,5] + k[805] + k[80]*y[:,15] + k[84]*y[:,4] + k[86]*y[:,0]
+ dfdy[indx[12], indx[12]] = -M*k[685]*y[:,3] - M*k[767] - k[157]*y[:,21] - k[159]*y[:,19] - k[161]*y[:,22] - k[163]*y[:,23] - k[165]*y[:,23] - k[19]*y[:,1] - k[247]*y[:,33] - k[389]*y[:,25] - k[417]*y[:,11] - k[525]*y[:,31] - k[553]*y[:,15] - k[559]*y[:,19] - k[55]*y[:,0] - k[569]*y[:,7] - k[573]*y[:,8] - k[585]*y[:,15] - k[59]*y[:,8] - k[61]*y[:,9] - k[74]*y[:,3] - k[76]*y[:,8] - k[77]*y[:,7] - k[79]*y[:,16] - k[806]*y[:,3] - k[81]*y[:,4] - k[83]*y[:,0] - k[85]*y[:,2]
dfdy[indx[12], indx[13]] = 0
dfdy[indx[12], indx[14]] = 0
- dfdy[indx[12], indx[15]] = -k[553]*y[:,12] + k[80]*y[:,11]
+ dfdy[indx[12], indx[15]] = -k[553]*y[:,12] - k[585]*y[:,12] + k[80]*y[:,11]
dfdy[indx[12], indx[16]] = -k[79]*y[:,12]
- dfdy[indx[12], indx[17]] = k[158]*y[:,11] + k[392]*y[:,21] + k[56]*y[:,7] + k[82]*y[:,5]
+ dfdy[indx[12], indx[17]] = k[158]*y[:,11] + k[390]*y[:,21] + k[56]*y[:,7] + k[82]*y[:,5]
dfdy[indx[12], indx[18]] = 0
dfdy[indx[12], indx[19]] = -k[159]*y[:,12] + k[164]*y[:,11] - k[559]*y[:,12]
dfdy[indx[12], indx[20]] = k[160]*y[:,11] + k[162]*y[:,11]
- dfdy[indx[12], indx[21]] = -k[157]*y[:,12] + k[392]*y[:,17]
+ dfdy[indx[12], indx[21]] = -k[157]*y[:,12] + k[390]*y[:,17]
dfdy[indx[12], indx[22]] = -k[161]*y[:,12] + k[166]*y[:,11]
dfdy[indx[12], indx[23]] = -k[163]*y[:,12] - k[165]*y[:,12]
dfdy[indx[12], indx[24]] = 0
- dfdy[indx[12], indx[25]] = -k[391]*y[:,12]
+ dfdy[indx[12], indx[25]] = -k[389]*y[:,12]
dfdy[indx[12], indx[26]] = 0
dfdy[indx[12], indx[27]] = 0
dfdy[indx[12], indx[28]] = 0
dfdy[indx[12], indx[29]] = k[248]*y[:,11]
dfdy[indx[12], indx[30]] = 0
- dfdy[indx[12], indx[31]] = -k[527]*y[:,12]
+ dfdy[indx[12], indx[31]] = -k[525]*y[:,12]
dfdy[indx[12], indx[32]] = 0
dfdy[indx[12], indx[33]] = -k[247]*y[:,12]
dfdy[indx[12], indx[34]] = 0
@@ -4050,7 +4340,7 @@ def symjac(y, M, k):
dfdy[indx[12], indx[42]] = 0
dfdy[indx[12], indx[43]] = 0
dfdy[indx[12], indx[44]] = 0
- dfdy[indx[12], indx[45]] = k[420]*y[:,0]
+ dfdy[indx[12], indx[45]] = k[418]*y[:,3]
dfdy[indx[12], indx[46]] = 0
dfdy[indx[12], indx[47]] = 0
dfdy[indx[12], indx[48]] = 0
@@ -4059,49 +4349,53 @@ def symjac(y, M, k):
dfdy[indx[12], indx[51]] = 0
dfdy[indx[12], indx[52]] = 0
dfdy[indx[12], indx[53]] = 0
- dfdy[indx[12], indx[54]] = k[528]*y[:,0]
+ dfdy[indx[12], indx[54]] = k[526]*y[:,3]
dfdy[indx[12], indx[55]] = 0
dfdy[indx[12], indx[56]] = 0
dfdy[indx[12], indx[57]] = 0
- dfdy[indx[12], indx[58]] = k[554]*y[:,8] + k[560]*y[:,2] + k[574]*y[:,0]
- dfdy[indx[12], indx[59]] = k[570]*y[:,0]
+ dfdy[indx[12], indx[58]] = k[554]*y[:,8] + k[560]*y[:,0] + k[574]*y[:,3]
+ dfdy[indx[12], indx[59]] = k[570]*y[:,3]
dfdy[indx[12], indx[60]] = 0
dfdy[indx[12], indx[61]] = 0
- dfdy[indx[12], indx[62]] = 0
+ dfdy[indx[12], indx[62]] = k[586]*y[:,3]
dfdy[indx[12], indx[63]] = 0
dfdy[indx[12], indx[64]] = 0
- dfdy[indx[13], indx[0]] = M*k[617]*y[:,11] - M*k[619]*y[:,13] + k[204]*y[:,26] - k[23]*y[:,13] + k[26]*y[:,14] - k[48]*y[:,13] + k[540]*y[:,57] + k[546]*y[:,56] - k[754]*y[:,13]
- dfdy[indx[13], indx[1]] = k[118]*y[:,11] - k[94]*y[:,13]
- dfdy[indx[13], indx[2]] = -k[117]*y[:,13] + k[168]*y[:,11] + k[557]*y[:,58] + k[93]*y[:,14]
- dfdy[indx[13], indx[3]] = k[24]*y[:,11] - k[25]*y[:,13]
- dfdy[indx[13], indx[4]] = -k[167]*y[:,13] - k[203]*y[:,13]
+ dfdy[indx[12], indx[65]] = 0
+ dfdy[indx[12], indx[66]] = 0
+ dfdy[indx[12], indx[67]] = 0
+ dfdy[indx[12], indx[68]] = 0
+ dfdy[indx[13], indx[0]] = -k[117]*y[:,13] + k[168]*y[:,11] + k[557]*y[:,58] + k[93]*y[:,14]
+ dfdy[indx[13], indx[1]] = k[24]*y[:,11] - k[25]*y[:,13]
+ dfdy[indx[13], indx[2]] = k[118]*y[:,11] - k[94]*y[:,13]
+ dfdy[indx[13], indx[3]] = M*k[667]*y[:,11] - M*k[669]*y[:,13] + k[204]*y[:,26] - k[23]*y[:,13] + k[26]*y[:,14] - k[48]*y[:,13] + k[538]*y[:,57] + k[544]*y[:,56] - k[816]*y[:,13]
+ dfdy[indx[13], indx[4]] = -k[167]*y[:,13] - k[203]*y[:,13] - k[597]*y[:,13]
dfdy[indx[13], indx[5]] = 0
dfdy[indx[13], indx[6]] = 0
- dfdy[indx[13], indx[7]] = -k[171]*y[:,13] + 2*k[47]*y[:,7]
+ dfdy[indx[13], indx[7]] = -k[171]*y[:,13] + 2*k[47]*y[:,7] + k[598]*y[:,21]
dfdy[indx[13], indx[8]] = k[172]*y[:,11] + 2*k[556]*y[:,58] - k[63]*y[:,13] + k[66]*y[:,14]
dfdy[indx[13], indx[9]] = k[64]*y[:,11] - k[65]*y[:,13]
dfdy[indx[13], indx[10]] = 0
- dfdy[indx[13], indx[11]] = M*k[617]*y[:,0] + k[118]*y[:,1] + k[168]*y[:,2] + k[172]*y[:,8] + k[24]*y[:,3] + k[250]*y[:,35] + k[64]*y[:,9] + 2*k[88]*y[:,14] + k[92]*y[:,16]
+ dfdy[indx[13], indx[11]] = M*k[667]*y[:,3] - M*k[765]*y[:,13] + k[118]*y[:,2] + k[168]*y[:,0] + k[172]*y[:,8] + k[24]*y[:,1] + k[250]*y[:,35] + k[64]*y[:,9] + 2*k[88]*y[:,14] + k[92]*y[:,16]
dfdy[indx[13], indx[12]] = 0
- dfdy[indx[13], indx[13]] = -M*k[618] - M*k[619]*y[:,0] - k[117]*y[:,2] - k[167]*y[:,4] - k[171]*y[:,7] - k[203]*y[:,4] - k[23]*y[:,0] - k[249]*y[:,33] - k[252]*y[:,35] - k[25]*y[:,3] - k[393]*y[:,25] - k[48]*y[:,0] - k[539]*y[:,31] - k[545]*y[:,28] - 4*k[555]*y[:,13] - k[558]*y[:,21] - k[63]*y[:,8] - k[65]*y[:,9] - k[754]*y[:,0] - 4*k[87]*y[:,13] - k[89]*y[:,15] - k[91]*y[:,15] - k[94]*y[:,1] - k[98]*y[:,16]
- dfdy[indx[13], indx[14]] = M*k[620] + k[251]*y[:,33] + k[26]*y[:,0] + k[66]*y[:,8] + k[753] + 2*k[88]*y[:,11] + 2*k[90]*y[:,14] + k[93]*y[:,2] + k[97]*y[:,15]
+ dfdy[indx[13], indx[13]] = -M*k[668] - M*k[669]*y[:,3] - M*k[765]*y[:,11] - k[117]*y[:,0] - k[167]*y[:,4] - k[171]*y[:,7] - k[203]*y[:,4] - k[23]*y[:,3] - k[249]*y[:,33] - k[252]*y[:,35] - k[25]*y[:,1] - k[391]*y[:,25] - k[48]*y[:,3] - k[537]*y[:,31] - k[543]*y[:,28] - 4*k[555]*y[:,13] - k[558]*y[:,21] - k[597]*y[:,4] - k[63]*y[:,8] - k[65]*y[:,9] - k[816]*y[:,3] - 4*k[87]*y[:,13] - k[89]*y[:,15] - k[91]*y[:,15] - k[94]*y[:,2] - k[98]*y[:,16]
+ dfdy[indx[13], indx[14]] = M*k[670] + k[251]*y[:,33] + k[26]*y[:,3] + k[66]*y[:,8] + k[815] + 2*k[88]*y[:,11] + 2*k[90]*y[:,14] + k[93]*y[:,0] + k[97]*y[:,15]
dfdy[indx[13], indx[15]] = -k[89]*y[:,13] - k[91]*y[:,13] + k[97]*y[:,14]
dfdy[indx[13], indx[16]] = k[92]*y[:,11] - k[98]*y[:,13]
dfdy[indx[13], indx[17]] = 0
dfdy[indx[13], indx[18]] = 0
dfdy[indx[13], indx[19]] = 0
- dfdy[indx[13], indx[20]] = k[394]*y[:,21]
- dfdy[indx[13], indx[21]] = k[394]*y[:,20] - k[558]*y[:,13]
+ dfdy[indx[13], indx[20]] = k[392]*y[:,21]
+ dfdy[indx[13], indx[21]] = k[392]*y[:,20] - k[558]*y[:,13] + k[598]*y[:,7]
dfdy[indx[13], indx[22]] = 0
dfdy[indx[13], indx[23]] = 0
dfdy[indx[13], indx[24]] = 0
- dfdy[indx[13], indx[25]] = -k[393]*y[:,13]
- dfdy[indx[13], indx[26]] = k[204]*y[:,0]
+ dfdy[indx[13], indx[25]] = -k[391]*y[:,13]
+ dfdy[indx[13], indx[26]] = k[204]*y[:,3]
dfdy[indx[13], indx[27]] = 0
- dfdy[indx[13], indx[28]] = -k[545]*y[:,13]
+ dfdy[indx[13], indx[28]] = -k[543]*y[:,13]
dfdy[indx[13], indx[29]] = 0
dfdy[indx[13], indx[30]] = 0
- dfdy[indx[13], indx[31]] = -k[539]*y[:,13]
+ dfdy[indx[13], indx[31]] = -k[537]*y[:,13]
dfdy[indx[13], indx[32]] = 0
dfdy[indx[13], indx[33]] = -k[249]*y[:,13] + k[251]*y[:,14]
dfdy[indx[13], indx[34]] = 0
@@ -4126,36 +4420,40 @@ def symjac(y, M, k):
dfdy[indx[13], indx[53]] = 0
dfdy[indx[13], indx[54]] = 0
dfdy[indx[13], indx[55]] = 0
- dfdy[indx[13], indx[56]] = k[546]*y[:,0]
- dfdy[indx[13], indx[57]] = k[540]*y[:,0]
- dfdy[indx[13], indx[58]] = 2*k[556]*y[:,8] + k[557]*y[:,2]
+ dfdy[indx[13], indx[56]] = k[544]*y[:,3]
+ dfdy[indx[13], indx[57]] = k[538]*y[:,3]
+ dfdy[indx[13], indx[58]] = 2*k[556]*y[:,8] + k[557]*y[:,0]
dfdy[indx[13], indx[59]] = 0
dfdy[indx[13], indx[60]] = 0
dfdy[indx[13], indx[61]] = 0
- dfdy[indx[13], indx[62]] = 0
+ dfdy[indx[13], indx[62]] = M*k[766]
dfdy[indx[13], indx[63]] = 0
dfdy[indx[13], indx[64]] = 0
- dfdy[indx[14], indx[0]] = M*k[619]*y[:,13] - M*k[621]*y[:,14] - k[26]*y[:,14] - k[28]*y[:,14] - k[30]*y[:,14] + k[33]*y[:,15] + k[538]*y[:,57] + 2*k[752]*y[:,0]*y[:,11] + k[754]*y[:,13] - 2*k[758]*y[:,0]*y[:,14]
- dfdy[indx[14], indx[1]] = -k[120]*y[:,14] + k[94]*y[:,13]
- dfdy[indx[14], indx[2]] = k[119]*y[:,15] - k[178]*y[:,14] - k[93]*y[:,14]
- dfdy[indx[14], indx[3]] = M*k[638]*y[:,11] - M*k[640]*y[:,14] + k[25]*y[:,13] - k[34]*y[:,14] + k[750]*y[:,11] - k[756]*y[:,14]
- dfdy[indx[14], indx[4]] = -k[125]*y[:,14]
+ dfdy[indx[13], indx[65]] = 0
+ dfdy[indx[13], indx[66]] = 0
+ dfdy[indx[13], indx[67]] = 0
+ dfdy[indx[13], indx[68]] = 0
+ dfdy[indx[14], indx[0]] = k[119]*y[:,15] - k[178]*y[:,14] - k[93]*y[:,14]
+ dfdy[indx[14], indx[1]] = M*k[688]*y[:,11] - M*k[690]*y[:,14] + k[25]*y[:,13] - k[34]*y[:,14] + k[812]*y[:,11] - k[818]*y[:,14]
+ dfdy[indx[14], indx[2]] = -k[120]*y[:,14] + k[94]*y[:,13]
+ dfdy[indx[14], indx[3]] = M*k[669]*y[:,13] - M*k[671]*y[:,14] - k[26]*y[:,14] - k[28]*y[:,14] - k[30]*y[:,14] + k[33]*y[:,15] + k[536]*y[:,57] + 2*k[814]*y[:,11]*y[:,3] + k[816]*y[:,13] - 2*k[820]*y[:,14]*y[:,3]
+ dfdy[indx[14], indx[4]] = -k[125]*y[:,14] - k[595]*y[:,14]
dfdy[indx[14], indx[5]] = -k[169]*y[:,14] + k[27]*y[:,9]
dfdy[indx[14], indx[6]] = 0
- dfdy[indx[14], indx[7]] = k[177]*y[:,19] + k[29]*y[:,8] + k[51]*y[:,15]
+ dfdy[indx[14], indx[7]] = k[177]*y[:,19] + k[29]*y[:,8] + k[51]*y[:,15] + k[596]*y[:,20]
dfdy[indx[14], indx[8]] = k[126]*y[:,21] + k[170]*y[:,11] + k[29]*y[:,7] - k[52]*y[:,14] - k[66]*y[:,14] + k[67]*y[:,15]
dfdy[indx[14], indx[9]] = k[27]*y[:,5] + k[65]*y[:,13] - k[68]*y[:,14]
dfdy[indx[14], indx[10]] = 0
- dfdy[indx[14], indx[11]] = M*k[638]*y[:,3] + k[170]*y[:,8] + k[750]*y[:,3] + k[752]*y[:,0]**2 - k[88]*y[:,14]
+ dfdy[indx[14], indx[11]] = M*k[688]*y[:,1] + k[170]*y[:,8] + k[812]*y[:,1] + k[814]*y[:,3]**2 - k[88]*y[:,14]
dfdy[indx[14], indx[12]] = 0
- dfdy[indx[14], indx[13]] = M*k[619]*y[:,0] + k[252]*y[:,35] + k[25]*y[:,3] + k[65]*y[:,9] + k[754]*y[:,0] + 2*k[87]*y[:,13] + 2*k[89]*y[:,15] + k[94]*y[:,1] + k[98]*y[:,16]
- dfdy[indx[14], indx[14]] = -M*k[620] - M*k[621]*y[:,0] - M*k[637] - M*k[640]*y[:,3] - k[120]*y[:,1] - k[125]*y[:,4] - k[169]*y[:,5] - k[178]*y[:,2] - k[251]*y[:,33] - k[254]*y[:,35] - k[26]*y[:,0] - k[28]*y[:,0] - k[30]*y[:,0] - k[34]*y[:,3] - k[52]*y[:,8] - k[537]*y[:,30] - k[66]*y[:,8] - k[68]*y[:,9] - k[749] - k[751] - k[753] - k[756]*y[:,3] - k[758]*y[:,0]**2 - k[88]*y[:,11] - 4*k[90]*y[:,14] - k[93]*y[:,2] - k[96]*y[:,16] - k[97]*y[:,15]
- dfdy[indx[14], indx[15]] = M*k[622] + k[119]*y[:,2] + k[253]*y[:,33] + k[33]*y[:,0] + k[51]*y[:,7] + k[67]*y[:,8] + 2*k[89]*y[:,13] + 2*k[95]*y[:,15] - k[97]*y[:,14]
- dfdy[indx[14], indx[16]] = M*k[639] + k[755] + k[757] - k[96]*y[:,14] + k[98]*y[:,13]
+ dfdy[indx[14], indx[13]] = M*k[669]*y[:,3] + k[252]*y[:,35] + k[25]*y[:,1] + k[65]*y[:,9] + k[816]*y[:,3] + 2*k[87]*y[:,13] + 2*k[89]*y[:,15] + k[94]*y[:,2] + k[98]*y[:,16]
+ dfdy[indx[14], indx[14]] = -M*k[670] - M*k[671]*y[:,3] - M*k[687] - M*k[690]*y[:,1] - k[120]*y[:,2] - k[125]*y[:,4] - k[169]*y[:,5] - k[178]*y[:,0] - k[251]*y[:,33] - k[254]*y[:,35] - k[26]*y[:,3] - k[28]*y[:,3] - k[30]*y[:,3] - k[34]*y[:,1] - k[52]*y[:,8] - k[535]*y[:,30] - k[595]*y[:,4] - k[66]*y[:,8] - k[68]*y[:,9] - k[811] - k[813] - k[815] - k[818]*y[:,1] - k[820]*y[:,3]**2 - k[88]*y[:,11] - 4*k[90]*y[:,14] - k[93]*y[:,0] - k[96]*y[:,16] - k[97]*y[:,15]
+ dfdy[indx[14], indx[15]] = M*k[672] + k[119]*y[:,0] + k[253]*y[:,33] + k[33]*y[:,3] + k[51]*y[:,7] + k[67]*y[:,8] + 2*k[89]*y[:,13] + 2*k[95]*y[:,15] - k[97]*y[:,14]
+ dfdy[indx[14], indx[16]] = M*k[689] + k[817] + k[819] - k[96]*y[:,14] + k[98]*y[:,13]
dfdy[indx[14], indx[17]] = 0
dfdy[indx[14], indx[18]] = 0
dfdy[indx[14], indx[19]] = k[177]*y[:,7]
- dfdy[indx[14], indx[20]] = 0
+ dfdy[indx[14], indx[20]] = k[596]*y[:,7]
dfdy[indx[14], indx[21]] = k[126]*y[:,8]
dfdy[indx[14], indx[22]] = 0
dfdy[indx[14], indx[23]] = 0
@@ -4165,7 +4463,7 @@ def symjac(y, M, k):
dfdy[indx[14], indx[27]] = 0
dfdy[indx[14], indx[28]] = 0
dfdy[indx[14], indx[29]] = 0
- dfdy[indx[14], indx[30]] = -k[537]*y[:,14]
+ dfdy[indx[14], indx[30]] = -k[535]*y[:,14]
dfdy[indx[14], indx[31]] = 0
dfdy[indx[14], indx[32]] = 0
dfdy[indx[14], indx[33]] = -k[251]*y[:,14] + k[253]*y[:,15]
@@ -4192,7 +4490,7 @@ def symjac(y, M, k):
dfdy[indx[14], indx[54]] = 0
dfdy[indx[14], indx[55]] = 0
dfdy[indx[14], indx[56]] = 0
- dfdy[indx[14], indx[57]] = k[538]*y[:,0]
+ dfdy[indx[14], indx[57]] = k[536]*y[:,3]
dfdy[indx[14], indx[58]] = 0
dfdy[indx[14], indx[59]] = 0
dfdy[indx[14], indx[60]] = 0
@@ -4200,23 +4498,27 @@ def symjac(y, M, k):
dfdy[indx[14], indx[62]] = 0
dfdy[indx[14], indx[63]] = 0
dfdy[indx[14], indx[64]] = 0
- dfdy[indx[15], indx[0]] = M*k[621]*y[:,14] - M*k[623]*y[:,15] - k[31]*y[:,15] - k[33]*y[:,15] + k[35]*y[:,16] + k[444]*y[:,49]
- dfdy[indx[15], indx[1]] = -k[100]*y[:,15] + k[120]*y[:,14]
- dfdy[indx[15], indx[2]] = -k[110]*y[:,15] - k[119]*y[:,15] + k[99]*y[:,16]
- dfdy[indx[15], indx[3]] = k[34]*y[:,14] - k[36]*y[:,15]
- dfdy[indx[15], indx[4]] = k[109]*y[:,16] - k[443]*y[:,15]
+ dfdy[indx[14], indx[65]] = 0
+ dfdy[indx[14], indx[66]] = 0
+ dfdy[indx[14], indx[67]] = 0
+ dfdy[indx[14], indx[68]] = 0
+ dfdy[indx[15], indx[0]] = -k[110]*y[:,15] - k[119]*y[:,15] - k[616]*y[:,15] + k[99]*y[:,16]
+ dfdy[indx[15], indx[1]] = k[34]*y[:,14] - k[36]*y[:,15]
+ dfdy[indx[15], indx[2]] = -k[100]*y[:,15] + k[120]*y[:,14]
+ dfdy[indx[15], indx[3]] = M*k[671]*y[:,14] - M*k[673]*y[:,15] - k[31]*y[:,15] - k[33]*y[:,15] + k[35]*y[:,16] + k[442]*y[:,49] + k[586]*y[:,62]
+ dfdy[indx[15], indx[4]] = k[109]*y[:,16] - k[441]*y[:,15]
dfdy[indx[15], indx[5]] = 0
dfdy[indx[15], indx[6]] = 0
dfdy[indx[15], indx[7]] = -k[51]*y[:,15]
- dfdy[indx[15], indx[8]] = 2*k[32]*y[:,8] + k[425]*y[:,46] + k[52]*y[:,14] + k[554]*y[:,58] - k[67]*y[:,15] + k[69]*y[:,16]
+ dfdy[indx[15], indx[8]] = 2*k[32]*y[:,8] + k[423]*y[:,46] + k[52]*y[:,14] + k[554]*y[:,58] - k[67]*y[:,15] + k[69]*y[:,16]
dfdy[indx[15], indx[9]] = k[68]*y[:,14] - k[70]*y[:,15]
dfdy[indx[15], indx[10]] = 0
dfdy[indx[15], indx[11]] = -k[80]*y[:,15] + k[92]*y[:,16]
- dfdy[indx[15], indx[12]] = -k[553]*y[:,15] + k[79]*y[:,16]
+ dfdy[indx[15], indx[12]] = -k[553]*y[:,15] - k[585]*y[:,15] + k[79]*y[:,16]
dfdy[indx[15], indx[13]] = -k[89]*y[:,15] - k[91]*y[:,15] + k[98]*y[:,16]
- dfdy[indx[15], indx[14]] = M*k[621]*y[:,0] + k[120]*y[:,1] + k[254]*y[:,35] + k[34]*y[:,3] + k[52]*y[:,8] + k[68]*y[:,9] + 2*k[90]*y[:,14] + 2*k[96]*y[:,16] - k[97]*y[:,15]
- dfdy[indx[15], indx[15]] = -M*k[622] - M*k[623]*y[:,0] - k[100]*y[:,1] - k[110]*y[:,2] - k[119]*y[:,2] - k[253]*y[:,33] - k[256]*y[:,35] - k[31]*y[:,0] - k[322]*y[:,31] - k[33]*y[:,0] - k[36]*y[:,3] - k[426]*y[:,33] - k[443]*y[:,4] - k[518]*y[:,52] - k[51]*y[:,7] - k[553]*y[:,12] - k[67]*y[:,8] - k[70]*y[:,9] - k[80]*y[:,11] - k[89]*y[:,13] - k[91]*y[:,13] - 4*k[95]*y[:,15] - k[97]*y[:,14]
- dfdy[indx[15], indx[16]] = M*k[624] + k[109]*y[:,4] + k[255]*y[:,33] + k[321]*y[:,30] + k[35]*y[:,0] + k[517]*y[:,25] + k[69]*y[:,8] + k[79]*y[:,12] + k[92]*y[:,11] + 2*k[96]*y[:,14] + k[98]*y[:,13] + k[99]*y[:,2]
+ dfdy[indx[15], indx[14]] = M*k[671]*y[:,3] + k[120]*y[:,2] + k[254]*y[:,35] + k[34]*y[:,1] + k[52]*y[:,8] + k[68]*y[:,9] + 2*k[90]*y[:,14] + 2*k[96]*y[:,16] - k[97]*y[:,15]
+ dfdy[indx[15], indx[15]] = -M*k[672] - M*k[673]*y[:,3] - k[100]*y[:,2] - k[110]*y[:,0] - k[119]*y[:,0] - k[253]*y[:,33] - k[256]*y[:,35] - k[31]*y[:,3] - k[320]*y[:,31] - k[33]*y[:,3] - k[36]*y[:,1] - k[424]*y[:,33] - k[441]*y[:,4] - k[515]*y[:,52] - k[51]*y[:,7] - k[553]*y[:,12] - k[585]*y[:,12] - k[616]*y[:,0] - k[67]*y[:,8] - k[70]*y[:,9] - k[80]*y[:,11] - k[89]*y[:,13] - k[91]*y[:,13] - 4*k[95]*y[:,15] - k[97]*y[:,14]
+ dfdy[indx[15], indx[16]] = M*k[674] + k[109]*y[:,4] + k[255]*y[:,33] + k[319]*y[:,30] + k[35]*y[:,3] + k[516]*y[:,25] + k[615]*y[:,65] + k[69]*y[:,8] + k[79]*y[:,12] + k[92]*y[:,11] + 2*k[96]*y[:,14] + k[98]*y[:,13] + k[99]*y[:,0]
dfdy[indx[15], indx[17]] = 0
dfdy[indx[15], indx[18]] = 0
dfdy[indx[15], indx[19]] = 0
@@ -4225,15 +4527,15 @@ def symjac(y, M, k):
dfdy[indx[15], indx[22]] = 0
dfdy[indx[15], indx[23]] = 0
dfdy[indx[15], indx[24]] = 0
- dfdy[indx[15], indx[25]] = k[517]*y[:,16]
+ dfdy[indx[15], indx[25]] = k[516]*y[:,16]
dfdy[indx[15], indx[26]] = 0
dfdy[indx[15], indx[27]] = 0
dfdy[indx[15], indx[28]] = 0
dfdy[indx[15], indx[29]] = 0
- dfdy[indx[15], indx[30]] = k[321]*y[:,16]
- dfdy[indx[15], indx[31]] = -k[322]*y[:,15]
+ dfdy[indx[15], indx[30]] = k[319]*y[:,16]
+ dfdy[indx[15], indx[31]] = -k[320]*y[:,15]
dfdy[indx[15], indx[32]] = 0
- dfdy[indx[15], indx[33]] = -k[253]*y[:,15] + k[255]*y[:,16] - k[426]*y[:,15]
+ dfdy[indx[15], indx[33]] = -k[253]*y[:,15] + k[255]*y[:,16] - k[424]*y[:,15]
dfdy[indx[15], indx[34]] = 0
dfdy[indx[15], indx[35]] = k[254]*y[:,14] - k[256]*y[:,15]
dfdy[indx[15], indx[36]] = 0
@@ -4246,13 +4548,13 @@ def symjac(y, M, k):
dfdy[indx[15], indx[43]] = 0
dfdy[indx[15], indx[44]] = 0
dfdy[indx[15], indx[45]] = 0
- dfdy[indx[15], indx[46]] = k[425]*y[:,8]
+ dfdy[indx[15], indx[46]] = k[423]*y[:,8]
dfdy[indx[15], indx[47]] = 0
dfdy[indx[15], indx[48]] = 0
- dfdy[indx[15], indx[49]] = k[444]*y[:,0]
+ dfdy[indx[15], indx[49]] = k[442]*y[:,3]
dfdy[indx[15], indx[50]] = 0
dfdy[indx[15], indx[51]] = 0
- dfdy[indx[15], indx[52]] = -k[518]*y[:,15]
+ dfdy[indx[15], indx[52]] = -k[515]*y[:,15]
dfdy[indx[15], indx[53]] = 0
dfdy[indx[15], indx[54]] = 0
dfdy[indx[15], indx[55]] = 0
@@ -4262,26 +4564,30 @@ def symjac(y, M, k):
dfdy[indx[15], indx[59]] = 0
dfdy[indx[15], indx[60]] = 0
dfdy[indx[15], indx[61]] = 0
- dfdy[indx[15], indx[62]] = 0
+ dfdy[indx[15], indx[62]] = k[586]*y[:,3]
dfdy[indx[15], indx[63]] = 0
dfdy[indx[15], indx[64]] = 0
- dfdy[indx[16], indx[0]] = M*k[623]*y[:,15] - k[35]*y[:,16] + 2*k[758]*y[:,0]*y[:,14]
- dfdy[indx[16], indx[1]] = k[100]*y[:,15]
- dfdy[indx[16], indx[2]] = k[110]*y[:,15] - k[99]*y[:,16]
- dfdy[indx[16], indx[3]] = M*k[640]*y[:,14] + k[36]*y[:,15] + k[756]*y[:,14] + 2*k[760]*y[:,11]*y[:,3]
+ dfdy[indx[15], indx[65]] = k[615]*y[:,16]
+ dfdy[indx[15], indx[66]] = 0
+ dfdy[indx[15], indx[67]] = 0
+ dfdy[indx[15], indx[68]] = 0
+ dfdy[indx[16], indx[0]] = k[110]*y[:,15] + k[616]*y[:,15] - k[99]*y[:,16]
+ dfdy[indx[16], indx[1]] = M*k[690]*y[:,14] + k[36]*y[:,15] + k[818]*y[:,14] + 2*k[822]*y[:,11]*y[:,1]
+ dfdy[indx[16], indx[2]] = k[100]*y[:,15]
+ dfdy[indx[16], indx[3]] = M*k[673]*y[:,15] - k[35]*y[:,16] + 2*k[820]*y[:,14]*y[:,3]
dfdy[indx[16], indx[4]] = -k[109]*y[:,16]
dfdy[indx[16], indx[5]] = 0
dfdy[indx[16], indx[6]] = 0
dfdy[indx[16], indx[7]] = 0
- dfdy[indx[16], indx[8]] = 2*M*k[633]*y[:,8] + k[195]*y[:,24] - k[69]*y[:,16] + 2*k[764]*y[:,8]
- dfdy[indx[16], indx[9]] = k[70]*y[:,15] + k[762]*y[:,61]
+ dfdy[indx[16], indx[8]] = 2*M*k[683]*y[:,8] + k[195]*y[:,24] - k[69]*y[:,16] + 2*k[826]*y[:,8]
+ dfdy[indx[16], indx[9]] = k[70]*y[:,15] + k[824]*y[:,66]
dfdy[indx[16], indx[10]] = 0
- dfdy[indx[16], indx[11]] = k[760]*y[:,3]**2 + k[80]*y[:,15] - k[92]*y[:,16]
+ dfdy[indx[16], indx[11]] = k[80]*y[:,15] + k[822]*y[:,1]**2 - k[92]*y[:,16]
dfdy[indx[16], indx[12]] = -k[79]*y[:,16]
dfdy[indx[16], indx[13]] = k[91]*y[:,15] - k[98]*y[:,16]
- dfdy[indx[16], indx[14]] = M*k[640]*y[:,3] + k[756]*y[:,3] + k[758]*y[:,0]**2 - k[96]*y[:,16] + k[97]*y[:,15]
- dfdy[indx[16], indx[15]] = M*k[623]*y[:,0] + k[100]*y[:,1] + k[110]*y[:,2] + k[256]*y[:,35] + k[322]*y[:,31] + k[36]*y[:,3] + k[518]*y[:,52] + k[70]*y[:,9] + k[80]*y[:,11] + k[91]*y[:,13] + 2*k[95]*y[:,15] + k[97]*y[:,14]
- dfdy[indx[16], indx[16]] = -M*k[624] - M*k[634] - M*k[639] - k[109]*y[:,4] - k[196]*y[:,17] - k[255]*y[:,33] - k[321]*y[:,30] - k[35]*y[:,0] - k[517]*y[:,25] - k[69]*y[:,8] - k[755] - k[757] - k[759] - k[761] - k[763] - k[79]*y[:,12] - k[92]*y[:,11] - k[96]*y[:,14] - k[98]*y[:,13] - k[99]*y[:,2]
+ dfdy[indx[16], indx[14]] = M*k[690]*y[:,1] + k[818]*y[:,1] + k[820]*y[:,3]**2 - k[96]*y[:,16] + k[97]*y[:,15]
+ dfdy[indx[16], indx[15]] = M*k[673]*y[:,3] + k[100]*y[:,2] + k[110]*y[:,0] + k[256]*y[:,35] + k[320]*y[:,31] + k[36]*y[:,1] + k[515]*y[:,52] + k[616]*y[:,0] + k[70]*y[:,9] + k[80]*y[:,11] + k[91]*y[:,13] + 2*k[95]*y[:,15] + k[97]*y[:,14]
+ dfdy[indx[16], indx[16]] = -M*k[674] - M*k[684] - M*k[689] - k[109]*y[:,4] - k[196]*y[:,17] - k[255]*y[:,33] - k[319]*y[:,30] - k[35]*y[:,3] - k[516]*y[:,25] - k[615]*y[:,65] - k[69]*y[:,8] - k[79]*y[:,12] - k[817] - k[819] - k[821] - k[823] - k[825] - k[92]*y[:,11] - k[96]*y[:,14] - k[98]*y[:,13] - k[99]*y[:,0]
dfdy[indx[16], indx[17]] = -k[196]*y[:,16]
dfdy[indx[16], indx[18]] = 0
dfdy[indx[16], indx[19]] = 0
@@ -4290,13 +4596,13 @@ def symjac(y, M, k):
dfdy[indx[16], indx[22]] = 0
dfdy[indx[16], indx[23]] = 0
dfdy[indx[16], indx[24]] = k[195]*y[:,8]
- dfdy[indx[16], indx[25]] = -k[517]*y[:,16]
+ dfdy[indx[16], indx[25]] = -k[516]*y[:,16]
dfdy[indx[16], indx[26]] = 0
dfdy[indx[16], indx[27]] = 0
dfdy[indx[16], indx[28]] = 0
dfdy[indx[16], indx[29]] = 0
- dfdy[indx[16], indx[30]] = -k[321]*y[:,16]
- dfdy[indx[16], indx[31]] = k[322]*y[:,15]
+ dfdy[indx[16], indx[30]] = -k[319]*y[:,16]
+ dfdy[indx[16], indx[31]] = k[320]*y[:,15]
dfdy[indx[16], indx[32]] = 0
dfdy[indx[16], indx[33]] = -k[255]*y[:,16]
dfdy[indx[16], indx[34]] = 0
@@ -4317,7 +4623,7 @@ def symjac(y, M, k):
dfdy[indx[16], indx[49]] = 0
dfdy[indx[16], indx[50]] = 0
dfdy[indx[16], indx[51]] = 0
- dfdy[indx[16], indx[52]] = k[518]*y[:,15]
+ dfdy[indx[16], indx[52]] = k[515]*y[:,15]
dfdy[indx[16], indx[53]] = 0
dfdy[indx[16], indx[54]] = 0
dfdy[indx[16], indx[55]] = 0
@@ -4326,63 +4632,67 @@ def symjac(y, M, k):
dfdy[indx[16], indx[58]] = 0
dfdy[indx[16], indx[59]] = 0
dfdy[indx[16], indx[60]] = 0
- dfdy[indx[16], indx[61]] = k[762]*y[:,9]
+ dfdy[indx[16], indx[61]] = 0
dfdy[indx[16], indx[62]] = 0
dfdy[indx[16], indx[63]] = 0
dfdy[indx[16], indx[64]] = 0
- dfdy[indx[17], indx[0]] = -M*k[645]*y[:,17] - k[104]*y[:,17] - k[112]*y[:,17] + k[131]*y[:,21] - 2*k[148]*y[:,0]*y[:,17] + k[201]*y[:,26] + k[207]*y[:,27] + k[365]*y[:,42] + k[38]*y[:,18] - k[768]*y[:,17]
- dfdy[indx[17], indx[1]] = -k[134]*y[:,17] - k[388]*y[:,17]
- dfdy[indx[17], indx[2]] = k[111]*y[:,6] + k[133]*y[:,21] + k[269]*y[:,31] - k[37]*y[:,17] + k[504]*y[:,18] + k[55]*y[:,12] + k[71]*y[:,11]
- dfdy[indx[17], indx[3]] = -M*k[659]*y[:,17] - k[132]*y[:,17] - k[174]*y[:,17] - k[770]*y[:,17]
- dfdy[indx[17], indx[4]] = -M*k[641]*y[:,17] + M*k[705]*y[:,6] + k[103]*y[:,5] + k[147]*y[:,7] + k[173]*y[:,7] + k[275]*y[:,30] + k[323]*y[:,31] - k[386]*y[:,17] + k[41]*y[:,10] + k[57]*y[:,11] + k[740]*y[:,6] - k[746]*y[:,17] + k[81]*y[:,12]
+ dfdy[indx[16], indx[65]] = -k[615]*y[:,16]
+ dfdy[indx[16], indx[66]] = k[824]*y[:,9]
+ dfdy[indx[16], indx[67]] = 0
+ dfdy[indx[16], indx[68]] = 0
+ dfdy[indx[17], indx[0]] = k[111]*y[:,6] + k[133]*y[:,21] + k[269]*y[:,31] - k[37]*y[:,17] + k[502]*y[:,18] + k[55]*y[:,12] + k[71]*y[:,11]
+ dfdy[indx[17], indx[1]] = -M*k[709]*y[:,17] - k[132]*y[:,17] - k[174]*y[:,17] - k[832]*y[:,17]
+ dfdy[indx[17], indx[2]] = -k[134]*y[:,17] - k[386]*y[:,17]
+ dfdy[indx[17], indx[3]] = -M*k[695]*y[:,17] - k[104]*y[:,17] - k[112]*y[:,17] + k[131]*y[:,21] - 2*k[148]*y[:,17]*y[:,3] + k[201]*y[:,26] + k[207]*y[:,27] + k[363]*y[:,42] + k[38]*y[:,18] - k[830]*y[:,17]
+ dfdy[indx[17], indx[4]] = -M*k[691]*y[:,17] + M*k[769]*y[:,6] + k[103]*y[:,5] + k[147]*y[:,7] + k[173]*y[:,7] + k[275]*y[:,30] + k[321]*y[:,31] - k[384]*y[:,17] + k[41]*y[:,10] + k[57]*y[:,11] + k[802]*y[:,6] - k[808]*y[:,17] + k[81]*y[:,12]
dfdy[indx[17], indx[5]] = k[103]*y[:,4] + k[135]*y[:,18] + k[291]*y[:,32] - k[82]*y[:,17]
- dfdy[indx[17], indx[6]] = M*k[705]*y[:,4] + k[111]*y[:,2] + k[385]*y[:,25] - k[42]*y[:,17] + k[740]*y[:,4]
- dfdy[indx[17], indx[7]] = k[147]*y[:,4] + k[151]*y[:,18] + k[173]*y[:,4] + k[175]*y[:,21] - k[208]*y[:,17] + k[387]*y[:,25] - k[56]*y[:,17] - k[58]*y[:,17]
- dfdy[indx[17], indx[8]] = -M*k[655]*y[:,17] + k[154]*y[:,18] - k[176]*y[:,17] + k[187]*y[:,21] + k[195]*y[:,24] - k[202]*y[:,17] - k[72]*y[:,17]
- dfdy[indx[17], indx[9]] = -k[188]*y[:,17] - k[780]*y[:,17]
+ dfdy[indx[17], indx[6]] = M*k[769]*y[:,4] + k[111]*y[:,0] + k[383]*y[:,25] - k[42]*y[:,17] + k[802]*y[:,4]
+ dfdy[indx[17], indx[7]] = k[147]*y[:,4] + k[151]*y[:,18] + k[173]*y[:,4] + k[175]*y[:,21] - k[208]*y[:,17] + k[385]*y[:,25] - k[56]*y[:,17] - k[58]*y[:,17]
+ dfdy[indx[17], indx[8]] = -M*k[705]*y[:,17] + k[154]*y[:,18] - k[176]*y[:,17] + k[187]*y[:,21] + k[195]*y[:,24] - k[202]*y[:,17] - k[72]*y[:,17]
+ dfdy[indx[17], indx[9]] = -k[188]*y[:,17] - k[842]*y[:,17]
dfdy[indx[17], indx[10]] = k[41]*y[:,4]
- dfdy[indx[17], indx[11]] = -k[158]*y[:,17] + k[57]*y[:,4] + k[71]*y[:,2]
- dfdy[indx[17], indx[12]] = k[157]*y[:,21] + k[391]*y[:,25] + k[55]*y[:,2] + k[81]*y[:,4]
+ dfdy[indx[17], indx[11]] = -k[158]*y[:,17] + k[57]*y[:,4] + k[71]*y[:,0]
+ dfdy[indx[17], indx[12]] = k[157]*y[:,21] + k[389]*y[:,25] + k[55]*y[:,0] + k[81]*y[:,4]
dfdy[indx[17], indx[13]] = 0
dfdy[indx[17], indx[14]] = 0
dfdy[indx[17], indx[15]] = 0
dfdy[indx[17], indx[16]] = -k[196]*y[:,17]
- dfdy[indx[17], indx[17]] = -M*k[641]*y[:,4] - M*k[645]*y[:,0] - M*k[655]*y[:,8] - M*k[659]*y[:,3] - M*k[674]*y[:,29] - M*k[706] - k[104]*y[:,0] - k[112]*y[:,0] - k[132]*y[:,3] - k[134]*y[:,1] - k[136]*y[:,21] - k[148]*y[:,0]**2 - k[152]*y[:,20] - k[153]*y[:,22] - k[158]*y[:,11] - k[174]*y[:,3] - k[176]*y[:,8] - k[188]*y[:,9] - k[196]*y[:,16] - k[202]*y[:,8] - k[208]*y[:,7] - k[212]*y[:,20] - k[270]*y[:,33] - k[276]*y[:,28] - k[278]*y[:,32] - k[292]*y[:,29] - k[300]*y[:,34] - k[324]*y[:,29] - k[366]*y[:,33] - k[37]*y[:,2] - k[386]*y[:,4] - k[388]*y[:,1] - k[392]*y[:,21] - k[42]*y[:,6] - k[458]*y[:,41] - k[474]*y[:,42] - k[476]*y[:,51] - k[503]*y[:,52] - k[520]*y[:,52] - k[56]*y[:,7] - k[585]*y[:,60] - k[58]*y[:,7] - k[72]*y[:,8] - k[739] - k[746]*y[:,4] - k[748]*y[:,60] - k[768]*y[:,0] - k[770]*y[:,3] - k[780]*y[:,9] - k[798]*y[:,29] - k[82]*y[:,5]
- dfdy[indx[17], indx[18]] = M*k[642] + k[135]*y[:,5] + k[151]*y[:,7] + k[154]*y[:,8] + k[277]*y[:,28] + k[38]*y[:,0] + k[475]*y[:,30] + k[504]*y[:,2] + k[586] + k[745] + k[747]
+ dfdy[indx[17], indx[17]] = -M*k[691]*y[:,4] - M*k[695]*y[:,3] - M*k[705]*y[:,8] - M*k[709]*y[:,1] - M*k[724]*y[:,29] - M*k[770] - k[104]*y[:,3] - k[112]*y[:,3] - k[132]*y[:,1] - k[134]*y[:,2] - k[136]*y[:,21] - k[148]*y[:,3]**2 - k[152]*y[:,20] - k[153]*y[:,22] - k[158]*y[:,11] - k[174]*y[:,1] - k[176]*y[:,8] - k[188]*y[:,9] - k[196]*y[:,16] - k[202]*y[:,8] - k[208]*y[:,7] - k[212]*y[:,20] - k[270]*y[:,33] - k[276]*y[:,28] - k[278]*y[:,32] - k[292]*y[:,29] - k[300]*y[:,34] - k[322]*y[:,29] - k[364]*y[:,33] - k[37]*y[:,0] - k[384]*y[:,4] - k[386]*y[:,2] - k[390]*y[:,21] - k[42]*y[:,6] - k[456]*y[:,40] - k[472]*y[:,42] - k[474]*y[:,51] - k[501]*y[:,52] - k[518]*y[:,52] - k[56]*y[:,7] - k[58]*y[:,7] - k[627]*y[:,65] - k[72]*y[:,8] - k[801] - k[808]*y[:,4] - k[810]*y[:,65] - k[82]*y[:,5] - k[830]*y[:,3] - k[832]*y[:,1] - k[842]*y[:,9] - k[860]*y[:,29]
+ dfdy[indx[17], indx[18]] = M*k[692] + k[135]*y[:,5] + k[151]*y[:,7] + k[154]*y[:,8] + k[277]*y[:,28] + k[38]*y[:,3] + k[473]*y[:,30] + k[502]*y[:,0] + k[628] + k[807] + k[809]
dfdy[indx[17], indx[19]] = 0
- dfdy[indx[17], indx[20]] = M*k[660] - k[152]*y[:,17] - k[212]*y[:,17] + k[769]
- dfdy[indx[17], indx[21]] = M*k[646] + k[131]*y[:,0] + k[133]*y[:,2] - k[136]*y[:,17] + k[157]*y[:,12] + k[175]*y[:,7] + k[187]*y[:,8] + 2*k[211]*y[:,21] - k[392]*y[:,17] + k[457]*y[:,32] + k[473]*y[:,51] + k[519]*y[:,25] + k[767]
+ dfdy[indx[17], indx[20]] = M*k[710] - k[152]*y[:,17] - k[212]*y[:,17] + k[831]
+ dfdy[indx[17], indx[21]] = M*k[696] + k[131]*y[:,3] + k[133]*y[:,0] - k[136]*y[:,17] + k[157]*y[:,12] + k[175]*y[:,7] + k[187]*y[:,8] + 2*k[211]*y[:,21] - k[390]*y[:,17] + k[455]*y[:,32] + k[471]*y[:,51] + k[517]*y[:,25] + k[829]
dfdy[indx[17], indx[22]] = -k[153]*y[:,17]
dfdy[indx[17], indx[23]] = 0
- dfdy[indx[17], indx[24]] = M*k[656] + k[195]*y[:,8]
- dfdy[indx[17], indx[25]] = k[385]*y[:,6] + k[387]*y[:,7] + k[391]*y[:,12] + k[519]*y[:,21]
- dfdy[indx[17], indx[26]] = k[201]*y[:,0]
- dfdy[indx[17], indx[27]] = k[207]*y[:,0]
+ dfdy[indx[17], indx[24]] = M*k[706] + k[195]*y[:,8]
+ dfdy[indx[17], indx[25]] = k[383]*y[:,6] + k[385]*y[:,7] + k[389]*y[:,12] + k[517]*y[:,21]
+ dfdy[indx[17], indx[26]] = k[201]*y[:,3]
+ dfdy[indx[17], indx[27]] = k[207]*y[:,3]
dfdy[indx[17], indx[28]] = -k[276]*y[:,17] + k[277]*y[:,18]
- dfdy[indx[17], indx[29]] = -M*k[674]*y[:,17] - k[292]*y[:,17] - k[324]*y[:,17] - k[798]*y[:,17]
- dfdy[indx[17], indx[30]] = k[275]*y[:,4] + k[299]*y[:,32] + k[475]*y[:,18]
- dfdy[indx[17], indx[31]] = k[269]*y[:,2] + k[323]*y[:,4]
- dfdy[indx[17], indx[32]] = -k[278]*y[:,17] + k[291]*y[:,5] + k[299]*y[:,30] + k[457]*y[:,21]
- dfdy[indx[17], indx[33]] = -k[270]*y[:,17] - k[366]*y[:,17]
+ dfdy[indx[17], indx[29]] = -M*k[724]*y[:,17] - k[292]*y[:,17] - k[322]*y[:,17] - k[860]*y[:,17]
+ dfdy[indx[17], indx[30]] = k[275]*y[:,4] + k[299]*y[:,32] + k[473]*y[:,18]
+ dfdy[indx[17], indx[31]] = k[269]*y[:,0] + k[321]*y[:,4]
+ dfdy[indx[17], indx[32]] = -k[278]*y[:,17] + k[291]*y[:,5] + k[299]*y[:,30] + k[455]*y[:,21]
+ dfdy[indx[17], indx[33]] = -k[270]*y[:,17] - k[364]*y[:,17]
dfdy[indx[17], indx[34]] = -k[300]*y[:,17]
dfdy[indx[17], indx[35]] = 0
dfdy[indx[17], indx[36]] = 0
dfdy[indx[17], indx[37]] = 0
dfdy[indx[17], indx[38]] = 0
dfdy[indx[17], indx[39]] = 0
- dfdy[indx[17], indx[40]] = 0
- dfdy[indx[17], indx[41]] = -k[458]*y[:,17]
- dfdy[indx[17], indx[42]] = M*k[673] + k[365]*y[:,0] - k[474]*y[:,17] + k[797]
+ dfdy[indx[17], indx[40]] = -k[456]*y[:,17]
+ dfdy[indx[17], indx[41]] = 0
+ dfdy[indx[17], indx[42]] = M*k[723] + k[363]*y[:,3] - k[472]*y[:,17] + k[859]
dfdy[indx[17], indx[43]] = 0
dfdy[indx[17], indx[44]] = 0
dfdy[indx[17], indx[45]] = 0
dfdy[indx[17], indx[46]] = 0
dfdy[indx[17], indx[47]] = 0
dfdy[indx[17], indx[48]] = 0
- dfdy[indx[17], indx[49]] = k[779]
+ dfdy[indx[17], indx[49]] = k[841]
dfdy[indx[17], indx[50]] = 0
- dfdy[indx[17], indx[51]] = k[473]*y[:,21] - k[476]*y[:,17]
- dfdy[indx[17], indx[52]] = -k[503]*y[:,17] - k[520]*y[:,17]
+ dfdy[indx[17], indx[51]] = k[471]*y[:,21] - k[474]*y[:,17]
+ dfdy[indx[17], indx[52]] = -k[501]*y[:,17] - k[518]*y[:,17]
dfdy[indx[17], indx[53]] = 0
dfdy[indx[17], indx[54]] = 0
dfdy[indx[17], indx[55]] = 0
@@ -4390,16 +4700,20 @@ def symjac(y, M, k):
dfdy[indx[17], indx[57]] = 0
dfdy[indx[17], indx[58]] = 0
dfdy[indx[17], indx[59]] = 0
- dfdy[indx[17], indx[60]] = -k[585]*y[:,17] - k[748]*y[:,17]
+ dfdy[indx[17], indx[60]] = 0
dfdy[indx[17], indx[61]] = 0
dfdy[indx[17], indx[62]] = 0
dfdy[indx[17], indx[63]] = 0
dfdy[indx[17], indx[64]] = 0
- dfdy[indx[18], indx[0]] = -k[38]*y[:,18]
+ dfdy[indx[17], indx[65]] = -k[627]*y[:,17] - k[810]*y[:,17]
+ dfdy[indx[17], indx[66]] = 0
+ dfdy[indx[17], indx[67]] = 0
+ dfdy[indx[17], indx[68]] = 0
+ dfdy[indx[18], indx[0]] = k[37]*y[:,17] - k[502]*y[:,18]
dfdy[indx[18], indx[1]] = 0
- dfdy[indx[18], indx[2]] = k[37]*y[:,17] - k[504]*y[:,18]
- dfdy[indx[18], indx[3]] = 0
- dfdy[indx[18], indx[4]] = M*k[641]*y[:,17] + k[746]*y[:,17]
+ dfdy[indx[18], indx[2]] = 0
+ dfdy[indx[18], indx[3]] = -k[38]*y[:,18]
+ dfdy[indx[18], indx[4]] = M*k[691]*y[:,17] + k[808]*y[:,17]
dfdy[indx[18], indx[5]] = -k[135]*y[:,18]
dfdy[indx[18], indx[6]] = 0
dfdy[indx[18], indx[7]] = -k[151]*y[:,18]
@@ -4412,8 +4726,8 @@ def symjac(y, M, k):
dfdy[indx[18], indx[14]] = 0
dfdy[indx[18], indx[15]] = 0
dfdy[indx[18], indx[16]] = 0
- dfdy[indx[18], indx[17]] = M*k[641]*y[:,4] + k[136]*y[:,21] + k[152]*y[:,20] + k[153]*y[:,22] + k[278]*y[:,32] + k[37]*y[:,2] + k[476]*y[:,51] + k[503]*y[:,52] + k[585]*y[:,60] + k[746]*y[:,4] + k[748]*y[:,60]
- dfdy[indx[18], indx[18]] = -M*k[642] - k[135]*y[:,5] - k[151]*y[:,7] - k[154]*y[:,8] - k[277]*y[:,28] - k[38]*y[:,0] - k[475]*y[:,30] - k[504]*y[:,2] - k[586] - k[745] - k[747]
+ dfdy[indx[18], indx[17]] = M*k[691]*y[:,4] + k[136]*y[:,21] + k[152]*y[:,20] + k[153]*y[:,22] + k[278]*y[:,32] + k[37]*y[:,0] + k[474]*y[:,51] + k[501]*y[:,52] + k[627]*y[:,65] + k[808]*y[:,4] + k[810]*y[:,65]
+ dfdy[indx[18], indx[18]] = -M*k[692] - k[135]*y[:,5] - k[151]*y[:,7] - k[154]*y[:,8] - k[277]*y[:,28] - k[38]*y[:,3] - k[473]*y[:,30] - k[502]*y[:,0] - k[628] - k[807] - k[809]
dfdy[indx[18], indx[19]] = 0
dfdy[indx[18], indx[20]] = k[152]*y[:,17]
dfdy[indx[18], indx[21]] = k[136]*y[:,17]
@@ -4425,7 +4739,7 @@ def symjac(y, M, k):
dfdy[indx[18], indx[27]] = 0
dfdy[indx[18], indx[28]] = -k[277]*y[:,18]
dfdy[indx[18], indx[29]] = 0
- dfdy[indx[18], indx[30]] = -k[475]*y[:,18]
+ dfdy[indx[18], indx[30]] = -k[473]*y[:,18]
dfdy[indx[18], indx[31]] = 0
dfdy[indx[18], indx[32]] = k[278]*y[:,17]
dfdy[indx[18], indx[33]] = 0
@@ -4446,8 +4760,8 @@ def symjac(y, M, k):
dfdy[indx[18], indx[48]] = 0
dfdy[indx[18], indx[49]] = 0
dfdy[indx[18], indx[50]] = 0
- dfdy[indx[18], indx[51]] = k[476]*y[:,17]
- dfdy[indx[18], indx[52]] = k[503]*y[:,17]
+ dfdy[indx[18], indx[51]] = k[474]*y[:,17]
+ dfdy[indx[18], indx[52]] = k[501]*y[:,17]
dfdy[indx[18], indx[53]] = 0
dfdy[indx[18], indx[54]] = 0
dfdy[indx[18], indx[55]] = 0
@@ -4455,35 +4769,39 @@ def symjac(y, M, k):
dfdy[indx[18], indx[57]] = 0
dfdy[indx[18], indx[58]] = 0
dfdy[indx[18], indx[59]] = 0
- dfdy[indx[18], indx[60]] = k[585]*y[:,17] + k[748]*y[:,17]
+ dfdy[indx[18], indx[60]] = 0
dfdy[indx[18], indx[61]] = 0
dfdy[indx[18], indx[62]] = 0
dfdy[indx[18], indx[63]] = 0
dfdy[indx[18], indx[64]] = 0
- dfdy[indx[19], indx[0]] = M*k[644]*y[:,20] - M*k[651]*y[:,19] - k[121]*y[:,19] + k[155]*y[:,23]
- dfdy[indx[19], indx[1]] = M*k[647]*y[:,5]
- dfdy[indx[19], indx[2]] = k[122]*y[:,8] + k[178]*y[:,14] + k[427]*y[:,46] + k[560]*y[:,58]
- dfdy[indx[19], indx[3]] = -k[156]*y[:,19]
+ dfdy[indx[18], indx[65]] = k[627]*y[:,17] + k[810]*y[:,17]
+ dfdy[indx[18], indx[66]] = 0
+ dfdy[indx[18], indx[67]] = 0
+ dfdy[indx[18], indx[68]] = 0
+ dfdy[indx[19], indx[0]] = k[122]*y[:,8] + k[178]*y[:,14] + k[425]*y[:,46] + k[560]*y[:,58] + k[601]*y[:,23]
+ dfdy[indx[19], indx[1]] = -k[156]*y[:,19]
+ dfdy[indx[19], indx[2]] = M*k[697]*y[:,5] - k[602]*y[:,19]
+ dfdy[indx[19], indx[3]] = M*k[694]*y[:,20] - M*k[701]*y[:,19] - k[121]*y[:,19] + k[155]*y[:,23]
dfdy[indx[19], indx[4]] = 0
- dfdy[indx[19], indx[5]] = M*k[647]*y[:,1]
+ dfdy[indx[19], indx[5]] = M*k[697]*y[:,2]
dfdy[indx[19], indx[6]] = 0
dfdy[indx[19], indx[7]] = -k[177]*y[:,19] - k[179]*y[:,19] + k[185]*y[:,23]
- dfdy[indx[19], indx[8]] = k[122]*y[:,2] - k[129]*y[:,19] + k[180]*y[:,20] - k[186]*y[:,19]
+ dfdy[indx[19], indx[8]] = k[122]*y[:,0] - k[129]*y[:,19] + k[180]*y[:,20] - k[186]*y[:,19]
dfdy[indx[19], indx[9]] = k[130]*y[:,20]
dfdy[indx[19], indx[10]] = 0
dfdy[indx[19], indx[11]] = k[160]*y[:,20] - k[164]*y[:,19]
dfdy[indx[19], indx[12]] = -k[159]*y[:,19] + k[163]*y[:,23] - k[559]*y[:,19]
dfdy[indx[19], indx[13]] = 0
- dfdy[indx[19], indx[14]] = k[178]*y[:,2]
+ dfdy[indx[19], indx[14]] = k[178]*y[:,0]
dfdy[indx[19], indx[15]] = 0
dfdy[indx[19], indx[16]] = 0
dfdy[indx[19], indx[17]] = 0
dfdy[indx[19], indx[18]] = 0
- dfdy[indx[19], indx[19]] = -M*k[643] - M*k[648] - M*k[651]*y[:,0] - k[121]*y[:,0] - k[129]*y[:,8] - k[156]*y[:,3] - k[159]*y[:,12] - k[164]*y[:,11] - k[177]*y[:,7] - k[179]*y[:,7] - k[186]*y[:,8] - k[213]*y[:,22] - k[428]*y[:,33] - k[559]*y[:,12]
- dfdy[indx[19], indx[20]] = M*k[644]*y[:,0] + k[130]*y[:,9] + k[160]*y[:,11] + k[180]*y[:,8] + k[214]*y[:,23]
+ dfdy[indx[19], indx[19]] = -M*k[693] - M*k[698] - M*k[701]*y[:,3] - k[121]*y[:,3] - k[129]*y[:,8] - k[156]*y[:,1] - k[159]*y[:,12] - k[164]*y[:,11] - k[177]*y[:,7] - k[179]*y[:,7] - k[186]*y[:,8] - k[213]*y[:,22] - k[426]*y[:,33] - k[559]*y[:,12] - k[602]*y[:,2]
+ dfdy[indx[19], indx[20]] = M*k[694]*y[:,3] + k[130]*y[:,9] + k[160]*y[:,11] + k[180]*y[:,8] + k[214]*y[:,23]
dfdy[indx[19], indx[21]] = 0
dfdy[indx[19], indx[22]] = -k[213]*y[:,19]
- dfdy[indx[19], indx[23]] = M*k[652] + k[155]*y[:,0] + k[163]*y[:,12] + k[185]*y[:,7] + k[214]*y[:,20]
+ dfdy[indx[19], indx[23]] = M*k[702] + k[155]*y[:,3] + k[163]*y[:,12] + k[185]*y[:,7] + k[214]*y[:,20] + k[601]*y[:,0]
dfdy[indx[19], indx[24]] = 0
dfdy[indx[19], indx[25]] = 0
dfdy[indx[19], indx[26]] = 0
@@ -4493,7 +4811,7 @@ def symjac(y, M, k):
dfdy[indx[19], indx[30]] = 0
dfdy[indx[19], indx[31]] = 0
dfdy[indx[19], indx[32]] = 0
- dfdy[indx[19], indx[33]] = -k[428]*y[:,19]
+ dfdy[indx[19], indx[33]] = -k[426]*y[:,19]
dfdy[indx[19], indx[34]] = 0
dfdy[indx[19], indx[35]] = 0
dfdy[indx[19], indx[36]] = 0
@@ -4506,7 +4824,7 @@ def symjac(y, M, k):
dfdy[indx[19], indx[43]] = 0
dfdy[indx[19], indx[44]] = 0
dfdy[indx[19], indx[45]] = 0
- dfdy[indx[19], indx[46]] = k[427]*y[:,2]
+ dfdy[indx[19], indx[46]] = k[425]*y[:,0]
dfdy[indx[19], indx[47]] = 0
dfdy[indx[19], indx[48]] = 0
dfdy[indx[19], indx[49]] = 0
@@ -4518,46 +4836,50 @@ def symjac(y, M, k):
dfdy[indx[19], indx[55]] = 0
dfdy[indx[19], indx[56]] = 0
dfdy[indx[19], indx[57]] = 0
- dfdy[indx[19], indx[58]] = k[560]*y[:,2]
+ dfdy[indx[19], indx[58]] = k[560]*y[:,0]
dfdy[indx[19], indx[59]] = 0
dfdy[indx[19], indx[60]] = 0
dfdy[indx[19], indx[61]] = 0
dfdy[indx[19], indx[62]] = 0
dfdy[indx[19], indx[63]] = 0
dfdy[indx[19], indx[64]] = 0
- dfdy[indx[20], indx[0]] = -M*k[644]*y[:,20] - M*k[650]*y[:,20] + M*k[657]*y[:,21] - k[123]*y[:,20] - k[138]*y[:,20] - k[150]*y[:,20] + k[199]*y[:,22] - k[442]*y[:,20] + k[772]*y[:,21]
- dfdy[indx[20], indx[1]] = -k[142]*y[:,20] + k[441]*y[:,5]
- dfdy[indx[20], indx[2]] = -k[140]*y[:,20] + k[141]*y[:,22] + k[149]*y[:,7] + k[210]*y[:,21] - k[390]*y[:,20]
- dfdy[indx[20], indx[3]] = M*k[659]*y[:,17] + k[124]*y[:,21] - k[200]*y[:,20] + k[770]*y[:,17] - k[776]*y[:,20]
- dfdy[indx[20], indx[4]] = k[137]*y[:,8] + k[139]*y[:,22] - k[209]*y[:,20]
- dfdy[indx[20], indx[5]] = k[441]*y[:,1]
+ dfdy[indx[19], indx[65]] = 0
+ dfdy[indx[19], indx[66]] = 0
+ dfdy[indx[19], indx[67]] = 0
+ dfdy[indx[19], indx[68]] = 0
+ dfdy[indx[20], indx[0]] = -k[140]*y[:,20] + k[141]*y[:,22] + k[149]*y[:,7] + k[210]*y[:,21] - k[388]*y[:,20]
+ dfdy[indx[20], indx[1]] = M*k[709]*y[:,17] + k[124]*y[:,21] - k[200]*y[:,20] + k[832]*y[:,17] - k[838]*y[:,20]
+ dfdy[indx[20], indx[2]] = -k[142]*y[:,20] + k[439]*y[:,5]
+ dfdy[indx[20], indx[3]] = -M*k[694]*y[:,20] - M*k[700]*y[:,20] + M*k[707]*y[:,21] - k[123]*y[:,20] - k[138]*y[:,20] - k[150]*y[:,20] + k[199]*y[:,22] - k[440]*y[:,20] + k[834]*y[:,21]
+ dfdy[indx[20], indx[4]] = k[137]*y[:,8] + k[139]*y[:,22] - k[209]*y[:,20] + k[595]*y[:,14]
+ dfdy[indx[20], indx[5]] = k[439]*y[:,2]
dfdy[indx[20], indx[6]] = 0
- dfdy[indx[20], indx[7]] = k[149]*y[:,2] + k[151]*y[:,18] + k[179]*y[:,19] + k[181]*y[:,22]
- dfdy[indx[20], indx[8]] = -k[127]*y[:,20] + k[129]*y[:,19] + k[137]*y[:,4] - k[180]*y[:,20] - k[182]*y[:,20] + k[189]*y[:,22] + k[389]*y[:,25]
+ dfdy[indx[20], indx[7]] = k[149]*y[:,0] + k[151]*y[:,18] + k[179]*y[:,19] + k[181]*y[:,22] - k[596]*y[:,20]
+ dfdy[indx[20], indx[8]] = -k[127]*y[:,20] + k[129]*y[:,19] + k[137]*y[:,4] - k[180]*y[:,20] - k[182]*y[:,20] + k[189]*y[:,22] + k[387]*y[:,25]
dfdy[indx[20], indx[9]] = k[128]*y[:,21] - k[130]*y[:,20] - k[190]*y[:,20]
dfdy[indx[20], indx[10]] = 0
dfdy[indx[20], indx[11]] = -k[160]*y[:,20] - k[162]*y[:,20]
dfdy[indx[20], indx[12]] = k[159]*y[:,19] + k[161]*y[:,22]
- dfdy[indx[20], indx[13]] = k[393]*y[:,25]
- dfdy[indx[20], indx[14]] = 0
+ dfdy[indx[20], indx[13]] = k[391]*y[:,25]
+ dfdy[indx[20], indx[14]] = k[595]*y[:,4]
dfdy[indx[20], indx[15]] = 0
dfdy[indx[20], indx[16]] = 0
- dfdy[indx[20], indx[17]] = M*k[659]*y[:,3] - k[152]*y[:,20] - k[212]*y[:,20] + k[770]*y[:,3]
+ dfdy[indx[20], indx[17]] = M*k[709]*y[:,1] - k[152]*y[:,20] - k[212]*y[:,20] + k[832]*y[:,1]
dfdy[indx[20], indx[18]] = k[151]*y[:,7]
- dfdy[indx[20], indx[19]] = M*k[643] + k[129]*y[:,8] + k[159]*y[:,12] + k[179]*y[:,7] + k[213]*y[:,22]
- dfdy[indx[20], indx[20]] = -M*k[644]*y[:,0] - M*k[650]*y[:,0] - M*k[658] - M*k[660] - k[123]*y[:,0] - k[127]*y[:,8] - k[130]*y[:,9] - k[138]*y[:,0] - k[140]*y[:,2] - k[142]*y[:,1] - k[150]*y[:,0] - k[152]*y[:,17] - k[160]*y[:,11] - k[162]*y[:,11] - k[180]*y[:,8] - k[182]*y[:,8] - k[190]*y[:,9] - k[200]*y[:,3] - k[209]*y[:,4] - k[212]*y[:,17] - k[214]*y[:,23] - k[216]*y[:,23] - k[390]*y[:,2] - k[394]*y[:,21] - k[442]*y[:,0] - k[456]*y[:,41] - k[769] - k[771] - k[776]*y[:,3]
- dfdy[indx[20], indx[21]] = M*k[657]*y[:,0] + k[124]*y[:,3] + k[128]*y[:,9] + k[210]*y[:,2] + 2*k[211]*y[:,21] - k[394]*y[:,20] + k[772]*y[:,0]
- dfdy[indx[20], indx[22]] = M*k[649] + k[139]*y[:,4] + k[141]*y[:,2] + k[161]*y[:,12] + k[181]*y[:,7] + k[189]*y[:,8] + k[199]*y[:,0] + k[213]*y[:,19] + 2*k[215]*y[:,22] + k[455]*y[:,32]
- dfdy[indx[20], indx[23]] = -k[214]*y[:,20] - k[216]*y[:,20] + k[775]
+ dfdy[indx[20], indx[19]] = M*k[693] + k[129]*y[:,8] + k[159]*y[:,12] + k[179]*y[:,7] + k[213]*y[:,22]
+ dfdy[indx[20], indx[20]] = -M*k[694]*y[:,3] - M*k[700]*y[:,3] - M*k[708] - M*k[710] - k[123]*y[:,3] - k[127]*y[:,8] - k[130]*y[:,9] - k[138]*y[:,3] - k[140]*y[:,0] - k[142]*y[:,2] - k[150]*y[:,3] - k[152]*y[:,17] - k[160]*y[:,11] - k[162]*y[:,11] - k[180]*y[:,8] - k[182]*y[:,8] - k[190]*y[:,9] - k[200]*y[:,1] - k[209]*y[:,4] - k[212]*y[:,17] - k[214]*y[:,23] - k[216]*y[:,23] - k[388]*y[:,0] - k[392]*y[:,21] - k[440]*y[:,3] - k[454]*y[:,40] - k[596]*y[:,7] - k[605]*y[:,25] - k[610]*y[:,52] - k[831] - k[833] - k[838]*y[:,1]
+ dfdy[indx[20], indx[21]] = M*k[707]*y[:,3] + k[124]*y[:,1] + k[128]*y[:,9] + k[210]*y[:,0] + 2*k[211]*y[:,21] - k[392]*y[:,20] + k[606]*y[:,52] + k[834]*y[:,3]
+ dfdy[indx[20], indx[22]] = M*k[699] + k[139]*y[:,4] + k[141]*y[:,0] + k[161]*y[:,12] + k[181]*y[:,7] + k[189]*y[:,8] + k[199]*y[:,3] + k[213]*y[:,19] + 2*k[215]*y[:,22] + k[453]*y[:,32] + k[609]*y[:,25]
+ dfdy[indx[20], indx[23]] = -k[214]*y[:,20] - k[216]*y[:,20] + k[837]
dfdy[indx[20], indx[24]] = 0
- dfdy[indx[20], indx[25]] = k[389]*y[:,8] + k[393]*y[:,13]
+ dfdy[indx[20], indx[25]] = k[387]*y[:,8] + k[391]*y[:,13] - k[605]*y[:,20] + k[609]*y[:,22]
dfdy[indx[20], indx[26]] = 0
dfdy[indx[20], indx[27]] = 0
dfdy[indx[20], indx[28]] = 0
dfdy[indx[20], indx[29]] = 0
dfdy[indx[20], indx[30]] = 0
dfdy[indx[20], indx[31]] = 0
- dfdy[indx[20], indx[32]] = k[455]*y[:,22]
+ dfdy[indx[20], indx[32]] = k[453]*y[:,22]
dfdy[indx[20], indx[33]] = 0
dfdy[indx[20], indx[34]] = 0
dfdy[indx[20], indx[35]] = 0
@@ -4565,8 +4887,8 @@ def symjac(y, M, k):
dfdy[indx[20], indx[37]] = 0
dfdy[indx[20], indx[38]] = 0
dfdy[indx[20], indx[39]] = 0
- dfdy[indx[20], indx[40]] = 0
- dfdy[indx[20], indx[41]] = -k[456]*y[:,20]
+ dfdy[indx[20], indx[40]] = -k[454]*y[:,20]
+ dfdy[indx[20], indx[41]] = 0
dfdy[indx[20], indx[42]] = 0
dfdy[indx[20], indx[43]] = 0
dfdy[indx[20], indx[44]] = 0
@@ -4577,7 +4899,7 @@ def symjac(y, M, k):
dfdy[indx[20], indx[49]] = 0
dfdy[indx[20], indx[50]] = 0
dfdy[indx[20], indx[51]] = 0
- dfdy[indx[20], indx[52]] = 0
+ dfdy[indx[20], indx[52]] = k[606]*y[:,21] - k[610]*y[:,20]
dfdy[indx[20], indx[53]] = 0
dfdy[indx[20], indx[54]] = 0
dfdy[indx[20], indx[55]] = 0
@@ -4590,39 +4912,43 @@ def symjac(y, M, k):
dfdy[indx[20], indx[62]] = 0
dfdy[indx[20], indx[63]] = 0
dfdy[indx[20], indx[64]] = 0
- dfdy[indx[21], indx[0]] = M*k[645]*y[:,17] - M*k[657]*y[:,21] + k[123]*y[:,20] - k[131]*y[:,21] + k[193]*y[:,24] + k[768]*y[:,17] - k[772]*y[:,21]
- dfdy[indx[21], indx[1]] = k[134]*y[:,17]
- dfdy[indx[21], indx[2]] = -k[133]*y[:,21] - k[210]*y[:,21] + k[557]*y[:,58]
- dfdy[indx[21], indx[3]] = -k[124]*y[:,21] + k[132]*y[:,17]
- dfdy[indx[21], indx[4]] = k[125]*y[:,14] + k[209]*y[:,20]
+ dfdy[indx[20], indx[65]] = 0
+ dfdy[indx[20], indx[66]] = 0
+ dfdy[indx[20], indx[67]] = 0
+ dfdy[indx[20], indx[68]] = 0
+ dfdy[indx[21], indx[0]] = -k[133]*y[:,21] - k[210]*y[:,21] + k[557]*y[:,58]
+ dfdy[indx[21], indx[1]] = -k[124]*y[:,21] + k[132]*y[:,17]
+ dfdy[indx[21], indx[2]] = k[134]*y[:,17]
+ dfdy[indx[21], indx[3]] = M*k[695]*y[:,17] - M*k[707]*y[:,21] + k[123]*y[:,20] - k[131]*y[:,21] + k[193]*y[:,24] + k[830]*y[:,17] - k[834]*y[:,21]
+ dfdy[indx[21], indx[4]] = k[125]*y[:,14] + k[209]*y[:,20] + k[545]*y[:,56] + k[597]*y[:,13]
dfdy[indx[21], indx[5]] = k[135]*y[:,18]
dfdy[indx[21], indx[6]] = 0
- dfdy[indx[21], indx[7]] = -k[175]*y[:,21]
- dfdy[indx[21], indx[8]] = -k[126]*y[:,21] + k[127]*y[:,20] + k[176]*y[:,17] - k[187]*y[:,21] - k[194]*y[:,21] - k[782]*y[:,21]
+ dfdy[indx[21], indx[7]] = -k[175]*y[:,21] - k[598]*y[:,21]
+ dfdy[indx[21], indx[8]] = -k[126]*y[:,21] + k[127]*y[:,20] + k[176]*y[:,17] - k[187]*y[:,21] - k[194]*y[:,21] - k[844]*y[:,21]
dfdy[indx[21], indx[9]] = -k[128]*y[:,21] + k[188]*y[:,17]
dfdy[indx[21], indx[10]] = 0
dfdy[indx[21], indx[11]] = k[158]*y[:,17]
- dfdy[indx[21], indx[12]] = -k[157]*y[:,21] + k[391]*y[:,25]
- dfdy[indx[21], indx[13]] = k[393]*y[:,25] - k[558]*y[:,21]
+ dfdy[indx[21], indx[12]] = -k[157]*y[:,21] + k[389]*y[:,25]
+ dfdy[indx[21], indx[13]] = k[391]*y[:,25] - k[558]*y[:,21] + k[597]*y[:,4]
dfdy[indx[21], indx[14]] = k[125]*y[:,4]
dfdy[indx[21], indx[15]] = 0
dfdy[indx[21], indx[16]] = 0
- dfdy[indx[21], indx[17]] = M*k[645]*y[:,0] + k[132]*y[:,3] + k[134]*y[:,1] - k[136]*y[:,21] + k[158]*y[:,11] + k[176]*y[:,8] + k[188]*y[:,9] + 2*k[212]*y[:,20] - k[392]*y[:,21] + k[458]*y[:,41] + k[474]*y[:,42] + k[520]*y[:,52] + k[768]*y[:,0]
+ dfdy[indx[21], indx[17]] = M*k[695]*y[:,3] + k[132]*y[:,1] + k[134]*y[:,2] - k[136]*y[:,21] + k[158]*y[:,11] + k[176]*y[:,8] + k[188]*y[:,9] + 2*k[212]*y[:,20] - k[390]*y[:,21] + k[456]*y[:,40] + k[472]*y[:,42] + k[518]*y[:,52] + k[830]*y[:,3]
dfdy[indx[21], indx[18]] = k[135]*y[:,5]
dfdy[indx[21], indx[19]] = 0
- dfdy[indx[21], indx[20]] = M*k[658] + k[123]*y[:,0] + k[127]*y[:,8] + k[209]*y[:,4] + 2*k[212]*y[:,17] - k[394]*y[:,21] + k[771]
- dfdy[indx[21], indx[21]] = -M*k[646] - M*k[657]*y[:,0] - k[124]*y[:,3] - k[126]*y[:,8] - k[128]*y[:,9] - k[131]*y[:,0] - k[133]*y[:,2] - k[136]*y[:,17] - k[157]*y[:,12] - k[175]*y[:,7] - k[187]*y[:,8] - k[194]*y[:,8] - k[210]*y[:,2] - 4*k[211]*y[:,21] - k[392]*y[:,17] - k[394]*y[:,20] - k[457]*y[:,32] - k[473]*y[:,51] - k[519]*y[:,25] - k[558]*y[:,13] - k[767] - k[772]*y[:,0] - k[782]*y[:,8]
+ dfdy[indx[21], indx[20]] = M*k[708] + k[123]*y[:,3] + k[127]*y[:,8] + k[209]*y[:,4] + 2*k[212]*y[:,17] - k[392]*y[:,21] + k[605]*y[:,25] + k[833]
+ dfdy[indx[21], indx[21]] = -M*k[696] - M*k[707]*y[:,3] - k[124]*y[:,1] - k[126]*y[:,8] - k[128]*y[:,9] - k[131]*y[:,3] - k[133]*y[:,0] - k[136]*y[:,17] - k[157]*y[:,12] - k[175]*y[:,7] - k[187]*y[:,8] - k[194]*y[:,8] - k[210]*y[:,0] - 4*k[211]*y[:,21] - k[390]*y[:,17] - k[392]*y[:,20] - k[455]*y[:,32] - k[471]*y[:,51] - k[517]*y[:,25] - k[546]*y[:,31] - k[558]*y[:,13] - k[598]*y[:,7] - k[606]*y[:,52] - k[829] - k[834]*y[:,3] - k[844]*y[:,8]
dfdy[indx[21], indx[22]] = 0
dfdy[indx[21], indx[23]] = 0
- dfdy[indx[21], indx[24]] = k[193]*y[:,0]
- dfdy[indx[21], indx[25]] = k[391]*y[:,12] + k[393]*y[:,13] - k[519]*y[:,21]
+ dfdy[indx[21], indx[24]] = k[193]*y[:,3]
+ dfdy[indx[21], indx[25]] = k[389]*y[:,12] + k[391]*y[:,13] - k[517]*y[:,21] + k[605]*y[:,20]
dfdy[indx[21], indx[26]] = 0
dfdy[indx[21], indx[27]] = 0
dfdy[indx[21], indx[28]] = 0
dfdy[indx[21], indx[29]] = 0
dfdy[indx[21], indx[30]] = 0
- dfdy[indx[21], indx[31]] = 0
- dfdy[indx[21], indx[32]] = -k[457]*y[:,21]
+ dfdy[indx[21], indx[31]] = -k[546]*y[:,21]
+ dfdy[indx[21], indx[32]] = -k[455]*y[:,21]
dfdy[indx[21], indx[33]] = 0
dfdy[indx[21], indx[34]] = 0
dfdy[indx[21], indx[35]] = 0
@@ -4630,40 +4956,44 @@ def symjac(y, M, k):
dfdy[indx[21], indx[37]] = 0
dfdy[indx[21], indx[38]] = 0
dfdy[indx[21], indx[39]] = 0
- dfdy[indx[21], indx[40]] = 0
- dfdy[indx[21], indx[41]] = k[458]*y[:,17]
- dfdy[indx[21], indx[42]] = k[474]*y[:,17]
+ dfdy[indx[21], indx[40]] = k[456]*y[:,17]
+ dfdy[indx[21], indx[41]] = 0
+ dfdy[indx[21], indx[42]] = k[472]*y[:,17]
dfdy[indx[21], indx[43]] = 0
dfdy[indx[21], indx[44]] = 0
dfdy[indx[21], indx[45]] = 0
dfdy[indx[21], indx[46]] = 0
dfdy[indx[21], indx[47]] = 0
dfdy[indx[21], indx[48]] = 0
- dfdy[indx[21], indx[49]] = k[781]
+ dfdy[indx[21], indx[49]] = k[843]
dfdy[indx[21], indx[50]] = 0
- dfdy[indx[21], indx[51]] = -k[473]*y[:,21]
- dfdy[indx[21], indx[52]] = k[520]*y[:,17]
+ dfdy[indx[21], indx[51]] = -k[471]*y[:,21]
+ dfdy[indx[21], indx[52]] = k[518]*y[:,17] - k[606]*y[:,21]
dfdy[indx[21], indx[53]] = 0
dfdy[indx[21], indx[54]] = 0
dfdy[indx[21], indx[55]] = 0
- dfdy[indx[21], indx[56]] = 0
+ dfdy[indx[21], indx[56]] = k[545]*y[:,4]
dfdy[indx[21], indx[57]] = 0
- dfdy[indx[21], indx[58]] = k[557]*y[:,2]
+ dfdy[indx[21], indx[58]] = k[557]*y[:,0]
dfdy[indx[21], indx[59]] = 0
dfdy[indx[21], indx[60]] = 0
dfdy[indx[21], indx[61]] = 0
dfdy[indx[21], indx[62]] = 0
dfdy[indx[21], indx[63]] = 0
dfdy[indx[21], indx[64]] = 0
- dfdy[indx[22], indx[0]] = M*k[650]*y[:,20] + k[143]*y[:,23] - k[199]*y[:,22] - k[778]*y[:,22]
- dfdy[indx[22], indx[1]] = k[142]*y[:,20]
- dfdy[indx[22], indx[2]] = k[140]*y[:,20] - k[141]*y[:,22]
- dfdy[indx[22], indx[3]] = -k[144]*y[:,22] + k[200]*y[:,20]
- dfdy[indx[22], indx[4]] = -k[139]*y[:,22] - k[383]*y[:,22]
+ dfdy[indx[21], indx[65]] = 0
+ dfdy[indx[21], indx[66]] = 0
+ dfdy[indx[21], indx[67]] = 0
+ dfdy[indx[21], indx[68]] = 0
+ dfdy[indx[22], indx[0]] = k[140]*y[:,20] - k[141]*y[:,22] + k[599]*y[:,23]
+ dfdy[indx[22], indx[1]] = -k[144]*y[:,22] + k[200]*y[:,20]
+ dfdy[indx[22], indx[2]] = k[142]*y[:,20] - k[600]*y[:,22]
+ dfdy[indx[22], indx[3]] = M*k[700]*y[:,20] + k[143]*y[:,23] - k[199]*y[:,22] - k[840]*y[:,22]
+ dfdy[indx[22], indx[4]] = -k[139]*y[:,22] - k[381]*y[:,22]
dfdy[indx[22], indx[5]] = 0
dfdy[indx[22], indx[6]] = 0
dfdy[indx[22], indx[7]] = -k[181]*y[:,22] + k[183]*y[:,23]
- dfdy[indx[22], indx[8]] = k[154]*y[:,18] + k[182]*y[:,20] - k[184]*y[:,22] - k[189]*y[:,22] + k[191]*y[:,23] + k[384]*y[:,25] + k[415]*y[:,43]
+ dfdy[indx[22], indx[8]] = k[154]*y[:,18] + k[182]*y[:,20] - k[184]*y[:,22] - k[189]*y[:,22] + k[191]*y[:,23] + k[382]*y[:,25] + k[413]*y[:,43]
dfdy[indx[22], indx[9]] = k[190]*y[:,20] - k[192]*y[:,22]
dfdy[indx[22], indx[10]] = 0
dfdy[indx[22], indx[11]] = k[162]*y[:,20] - k[166]*y[:,22]
@@ -4675,19 +5005,19 @@ def symjac(y, M, k):
dfdy[indx[22], indx[17]] = -k[153]*y[:,22]
dfdy[indx[22], indx[18]] = k[154]*y[:,8]
dfdy[indx[22], indx[19]] = -k[213]*y[:,22]
- dfdy[indx[22], indx[20]] = M*k[650]*y[:,0] + k[140]*y[:,2] + k[142]*y[:,1] + k[162]*y[:,11] + k[182]*y[:,8] + k[190]*y[:,9] + k[200]*y[:,3] + k[214]*y[:,23] + 2*k[216]*y[:,23] + k[456]*y[:,41]
+ dfdy[indx[22], indx[20]] = M*k[700]*y[:,3] + k[140]*y[:,0] + k[142]*y[:,2] + k[162]*y[:,11] + k[182]*y[:,8] + k[190]*y[:,9] + k[200]*y[:,1] + k[214]*y[:,23] + 2*k[216]*y[:,23] + k[454]*y[:,40] + k[610]*y[:,52]
dfdy[indx[22], indx[21]] = 0
- dfdy[indx[22], indx[22]] = -M*k[649] - k[139]*y[:,4] - k[141]*y[:,2] - k[144]*y[:,3] - k[153]*y[:,17] - k[161]*y[:,12] - k[166]*y[:,11] - k[181]*y[:,7] - k[184]*y[:,8] - k[189]*y[:,8] - k[192]*y[:,9] - k[199]*y[:,0] - k[213]*y[:,19] - 4*k[215]*y[:,22] - k[383]*y[:,4] - k[416]*y[:,32] - k[455]*y[:,32] - k[778]*y[:,0]
- dfdy[indx[22], indx[23]] = k[143]*y[:,0] + k[165]*y[:,12] + k[183]*y[:,7] + k[191]*y[:,8] + k[214]*y[:,20] + 2*k[216]*y[:,20] + k[777]
+ dfdy[indx[22], indx[22]] = -M*k[699] - k[139]*y[:,4] - k[141]*y[:,0] - k[144]*y[:,1] - k[153]*y[:,17] - k[161]*y[:,12] - k[166]*y[:,11] - k[181]*y[:,7] - k[184]*y[:,8] - k[189]*y[:,8] - k[192]*y[:,9] - k[199]*y[:,3] - k[213]*y[:,19] - 4*k[215]*y[:,22] - k[381]*y[:,4] - k[414]*y[:,32] - k[453]*y[:,32] - k[600]*y[:,2] - k[609]*y[:,25] - k[840]*y[:,3]
+ dfdy[indx[22], indx[23]] = k[143]*y[:,3] + k[165]*y[:,12] + k[183]*y[:,7] + k[191]*y[:,8] + k[214]*y[:,20] + 2*k[216]*y[:,20] + k[599]*y[:,0] + k[839]
dfdy[indx[22], indx[24]] = 0
- dfdy[indx[22], indx[25]] = k[384]*y[:,8]
+ dfdy[indx[22], indx[25]] = k[382]*y[:,8] - k[609]*y[:,22]
dfdy[indx[22], indx[26]] = 0
dfdy[indx[22], indx[27]] = 0
dfdy[indx[22], indx[28]] = 0
dfdy[indx[22], indx[29]] = 0
dfdy[indx[22], indx[30]] = 0
dfdy[indx[22], indx[31]] = 0
- dfdy[indx[22], indx[32]] = -k[416]*y[:,22] - k[455]*y[:,22]
+ dfdy[indx[22], indx[32]] = -k[414]*y[:,22] - k[453]*y[:,22]
dfdy[indx[22], indx[33]] = 0
dfdy[indx[22], indx[34]] = 0
dfdy[indx[22], indx[35]] = 0
@@ -4695,10 +5025,10 @@ def symjac(y, M, k):
dfdy[indx[22], indx[37]] = 0
dfdy[indx[22], indx[38]] = 0
dfdy[indx[22], indx[39]] = 0
- dfdy[indx[22], indx[40]] = 0
- dfdy[indx[22], indx[41]] = k[456]*y[:,20]
+ dfdy[indx[22], indx[40]] = k[454]*y[:,20]
+ dfdy[indx[22], indx[41]] = 0
dfdy[indx[22], indx[42]] = 0
- dfdy[indx[22], indx[43]] = k[415]*y[:,8]
+ dfdy[indx[22], indx[43]] = k[413]*y[:,8]
dfdy[indx[22], indx[44]] = 0
dfdy[indx[22], indx[45]] = 0
dfdy[indx[22], indx[46]] = 0
@@ -4707,7 +5037,7 @@ def symjac(y, M, k):
dfdy[indx[22], indx[49]] = 0
dfdy[indx[22], indx[50]] = 0
dfdy[indx[22], indx[51]] = 0
- dfdy[indx[22], indx[52]] = 0
+ dfdy[indx[22], indx[52]] = k[610]*y[:,20]
dfdy[indx[22], indx[53]] = 0
dfdy[indx[22], indx[54]] = 0
dfdy[indx[22], indx[55]] = 0
@@ -4720,15 +5050,19 @@ def symjac(y, M, k):
dfdy[indx[22], indx[62]] = 0
dfdy[indx[22], indx[63]] = 0
dfdy[indx[22], indx[64]] = 0
- dfdy[indx[23], indx[0]] = M*k[651]*y[:,19] - k[143]*y[:,23] - k[145]*y[:,23] - k[155]*y[:,23] + k[778]*y[:,22]
- dfdy[indx[23], indx[1]] = k[146]*y[:,8]
- dfdy[indx[23], indx[2]] = M*k[719]*y[:,8] + k[774]*y[:,8]
- dfdy[indx[23], indx[3]] = k[144]*y[:,22] + k[156]*y[:,19] + k[776]*y[:,20]
+ dfdy[indx[22], indx[65]] = 0
+ dfdy[indx[22], indx[66]] = 0
+ dfdy[indx[22], indx[67]] = 0
+ dfdy[indx[22], indx[68]] = 0
+ dfdy[indx[23], indx[0]] = M*k[781]*y[:,8] - k[599]*y[:,23] - k[601]*y[:,23] + k[836]*y[:,8]
+ dfdy[indx[23], indx[1]] = k[144]*y[:,22] + k[156]*y[:,19] + k[838]*y[:,20]
+ dfdy[indx[23], indx[2]] = k[146]*y[:,8] + k[600]*y[:,22] + k[602]*y[:,19]
+ dfdy[indx[23], indx[3]] = M*k[701]*y[:,19] - k[143]*y[:,23] - k[145]*y[:,23] - k[155]*y[:,23] + k[840]*y[:,22]
dfdy[indx[23], indx[4]] = 0
dfdy[indx[23], indx[5]] = 0
dfdy[indx[23], indx[6]] = 0
dfdy[indx[23], indx[7]] = -k[183]*y[:,23] - k[185]*y[:,23]
- dfdy[indx[23], indx[8]] = M*k[719]*y[:,2] + k[146]*y[:,1] + k[184]*y[:,22] + k[186]*y[:,19] - k[191]*y[:,23] + k[774]*y[:,2]
+ dfdy[indx[23], indx[8]] = M*k[781]*y[:,0] + k[146]*y[:,2] + k[184]*y[:,22] + k[186]*y[:,19] - k[191]*y[:,23] + k[836]*y[:,0]
dfdy[indx[23], indx[9]] = k[192]*y[:,22]
dfdy[indx[23], indx[10]] = 0
dfdy[indx[23], indx[11]] = k[164]*y[:,19] + k[166]*y[:,22]
@@ -4739,11 +5073,11 @@ def symjac(y, M, k):
dfdy[indx[23], indx[16]] = 0
dfdy[indx[23], indx[17]] = 0
dfdy[indx[23], indx[18]] = 0
- dfdy[indx[23], indx[19]] = M*k[651]*y[:,0] + k[156]*y[:,3] + k[164]*y[:,11] + k[186]*y[:,8] + k[213]*y[:,22]
- dfdy[indx[23], indx[20]] = -k[214]*y[:,23] - k[216]*y[:,23] + k[776]*y[:,3]
+ dfdy[indx[23], indx[19]] = M*k[701]*y[:,3] + k[156]*y[:,1] + k[164]*y[:,11] + k[186]*y[:,8] + k[213]*y[:,22] + k[602]*y[:,2]
+ dfdy[indx[23], indx[20]] = -k[214]*y[:,23] - k[216]*y[:,23] + k[838]*y[:,1]
dfdy[indx[23], indx[21]] = 0
- dfdy[indx[23], indx[22]] = k[144]*y[:,3] + k[166]*y[:,11] + k[184]*y[:,8] + k[192]*y[:,9] + k[213]*y[:,19] + 2*k[215]*y[:,22] + k[778]*y[:,0]
- dfdy[indx[23], indx[23]] = -M*k[652] - M*k[720] - k[143]*y[:,0] - k[145]*y[:,0] - k[155]*y[:,0] - k[163]*y[:,12] - k[165]*y[:,12] - k[183]*y[:,7] - k[185]*y[:,7] - k[191]*y[:,8] - k[214]*y[:,20] - k[216]*y[:,20] - k[773] - k[775] - k[777]
+ dfdy[indx[23], indx[22]] = k[144]*y[:,1] + k[166]*y[:,11] + k[184]*y[:,8] + k[192]*y[:,9] + k[213]*y[:,19] + 2*k[215]*y[:,22] + k[600]*y[:,2] + k[840]*y[:,3]
+ dfdy[indx[23], indx[23]] = -M*k[702] - M*k[782] - k[143]*y[:,3] - k[145]*y[:,3] - k[155]*y[:,3] - k[163]*y[:,12] - k[165]*y[:,12] - k[183]*y[:,7] - k[185]*y[:,7] - k[191]*y[:,8] - k[214]*y[:,20] - k[216]*y[:,20] - k[599]*y[:,0] - k[601]*y[:,0] - k[835] - k[837] - k[839]
dfdy[indx[23], indx[24]] = 0
dfdy[indx[23], indx[25]] = 0
dfdy[indx[23], indx[26]] = 0
@@ -4785,31 +5119,35 @@ def symjac(y, M, k):
dfdy[indx[23], indx[62]] = 0
dfdy[indx[23], indx[63]] = 0
dfdy[indx[23], indx[64]] = 0
- dfdy[indx[24], indx[0]] = -k[193]*y[:,24] + k[445]*y[:,49]
- dfdy[indx[24], indx[1]] = 0
- dfdy[indx[24], indx[2]] = M*k[653]*y[:,11]
- dfdy[indx[24], indx[3]] = -k[446]*y[:,24]
+ dfdy[indx[23], indx[65]] = 0
+ dfdy[indx[23], indx[66]] = 0
+ dfdy[indx[23], indx[67]] = 0
+ dfdy[indx[23], indx[68]] = 0
+ dfdy[indx[24], indx[0]] = M*k[703]*y[:,11]
+ dfdy[indx[24], indx[1]] = -k[444]*y[:,24]
+ dfdy[indx[24], indx[2]] = 0
+ dfdy[indx[24], indx[3]] = -k[193]*y[:,24] + k[443]*y[:,49]
dfdy[indx[24], indx[4]] = 0
dfdy[indx[24], indx[5]] = 0
dfdy[indx[24], indx[6]] = 0
dfdy[indx[24], indx[7]] = 0
- dfdy[indx[24], indx[8]] = M*k[655]*y[:,17] + k[194]*y[:,21] - k[195]*y[:,24]
+ dfdy[indx[24], indx[8]] = M*k[705]*y[:,17] + k[194]*y[:,21] - k[195]*y[:,24]
dfdy[indx[24], indx[9]] = 0
dfdy[indx[24], indx[10]] = 0
- dfdy[indx[24], indx[11]] = M*k[653]*y[:,2]
+ dfdy[indx[24], indx[11]] = M*k[703]*y[:,0]
dfdy[indx[24], indx[12]] = 0
dfdy[indx[24], indx[13]] = 0
dfdy[indx[24], indx[14]] = 0
dfdy[indx[24], indx[15]] = 0
dfdy[indx[24], indx[16]] = k[196]*y[:,17]
- dfdy[indx[24], indx[17]] = M*k[655]*y[:,8] + k[196]*y[:,16]
+ dfdy[indx[24], indx[17]] = M*k[705]*y[:,8] + k[196]*y[:,16]
dfdy[indx[24], indx[18]] = 0
dfdy[indx[24], indx[19]] = 0
dfdy[indx[24], indx[20]] = 0
dfdy[indx[24], indx[21]] = k[194]*y[:,8]
dfdy[indx[24], indx[22]] = 0
dfdy[indx[24], indx[23]] = 0
- dfdy[indx[24], indx[24]] = -M*k[654] - M*k[656] - k[193]*y[:,0] - k[195]*y[:,8] - k[446]*y[:,3]
+ dfdy[indx[24], indx[24]] = -M*k[704] - M*k[706] - k[193]*y[:,3] - k[195]*y[:,8] - k[444]*y[:,1]
dfdy[indx[24], indx[25]] = 0
dfdy[indx[24], indx[26]] = 0
dfdy[indx[24], indx[27]] = 0
@@ -4834,7 +5172,7 @@ def symjac(y, M, k):
dfdy[indx[24], indx[46]] = 0
dfdy[indx[24], indx[47]] = 0
dfdy[indx[24], indx[48]] = 0
- dfdy[indx[24], indx[49]] = k[445]*y[:,0]
+ dfdy[indx[24], indx[49]] = k[443]*y[:,3]
dfdy[indx[24], indx[50]] = 0
dfdy[indx[24], indx[51]] = 0
dfdy[indx[24], indx[52]] = 0
@@ -4850,51 +5188,55 @@ def symjac(y, M, k):
dfdy[indx[24], indx[62]] = 0
dfdy[indx[24], indx[63]] = 0
dfdy[indx[24], indx[64]] = 0
- dfdy[indx[25], indx[0]] = -M*k[695]*y[:,25] - k[198]*y[:,25] + k[501]*y[:,52]
- dfdy[indx[25], indx[1]] = k[388]*y[:,17] - k[522]*y[:,25]
- dfdy[indx[25], indx[2]] = k[197]*y[:,4] + k[390]*y[:,20] + k[398]*y[:,32] + k[402]*y[:,41] - k[514]*y[:,25] + k[521]*y[:,52]
- dfdy[indx[25], indx[3]] = -k[502]*y[:,25]
- dfdy[indx[25], indx[4]] = 2*M*k[713]*y[:,4] + k[197]*y[:,2] + k[383]*y[:,22] + k[386]*y[:,17] + k[396]*y[:,32] + k[400]*y[:,41] + k[403]*y[:,43] + k[405]*y[:,44] + k[513]*y[:,52] + 2*k[804]*y[:,4] + k[806]*y[:,60]
+ dfdy[indx[24], indx[65]] = 0
+ dfdy[indx[24], indx[66]] = 0
+ dfdy[indx[24], indx[67]] = 0
+ dfdy[indx[24], indx[68]] = 0
+ dfdy[indx[25], indx[0]] = k[197]*y[:,4] + k[388]*y[:,20] + k[396]*y[:,32] + k[400]*y[:,40] - k[512]*y[:,25] + k[519]*y[:,52]
+ dfdy[indx[25], indx[1]] = -k[500]*y[:,25]
+ dfdy[indx[25], indx[2]] = k[386]*y[:,17] - k[520]*y[:,25]
+ dfdy[indx[25], indx[3]] = -M*k[745]*y[:,25] - k[198]*y[:,25] + k[499]*y[:,52]
+ dfdy[indx[25], indx[4]] = 2*M*k[775]*y[:,4] + k[197]*y[:,0] + k[381]*y[:,22] + k[384]*y[:,17] + k[394]*y[:,32] + k[398]*y[:,40] + k[401]*y[:,43] + k[403]*y[:,44] + k[511]*y[:,52] + k[650]*y[:,32] + 2*k[866]*y[:,4] + k[868]*y[:,65]
dfdy[indx[25], indx[5]] = 0
- dfdy[indx[25], indx[6]] = -k[385]*y[:,25]
- dfdy[indx[25], indx[7]] = -k[387]*y[:,25]
- dfdy[indx[25], indx[8]] = -k[384]*y[:,25] - k[389]*y[:,25] + k[516]*y[:,52]
- dfdy[indx[25], indx[9]] = -k[515]*y[:,25]
+ dfdy[indx[25], indx[6]] = -k[383]*y[:,25]
+ dfdy[indx[25], indx[7]] = -k[385]*y[:,25]
+ dfdy[indx[25], indx[8]] = -k[382]*y[:,25] - k[387]*y[:,25] + k[513]*y[:,52]
+ dfdy[indx[25], indx[9]] = -k[514]*y[:,25]
dfdy[indx[25], indx[10]] = 0
dfdy[indx[25], indx[11]] = 0
- dfdy[indx[25], indx[12]] = -k[391]*y[:,25]
- dfdy[indx[25], indx[13]] = -k[393]*y[:,25]
+ dfdy[indx[25], indx[12]] = -k[389]*y[:,25]
+ dfdy[indx[25], indx[13]] = -k[391]*y[:,25]
dfdy[indx[25], indx[14]] = 0
- dfdy[indx[25], indx[15]] = k[518]*y[:,52]
- dfdy[indx[25], indx[16]] = -k[517]*y[:,25]
- dfdy[indx[25], indx[17]] = k[386]*y[:,4] + k[388]*y[:,1] + k[392]*y[:,21] + k[520]*y[:,52]
+ dfdy[indx[25], indx[15]] = k[515]*y[:,52]
+ dfdy[indx[25], indx[16]] = -k[516]*y[:,25]
+ dfdy[indx[25], indx[17]] = k[384]*y[:,4] + k[386]*y[:,2] + k[390]*y[:,21] + k[518]*y[:,52]
dfdy[indx[25], indx[18]] = 0
dfdy[indx[25], indx[19]] = 0
- dfdy[indx[25], indx[20]] = k[390]*y[:,2] + k[394]*y[:,21]
- dfdy[indx[25], indx[21]] = k[392]*y[:,17] + k[394]*y[:,20] - k[519]*y[:,25]
- dfdy[indx[25], indx[22]] = k[383]*y[:,4]
+ dfdy[indx[25], indx[20]] = k[388]*y[:,0] + k[392]*y[:,21] - k[605]*y[:,25] + k[610]*y[:,52]
+ dfdy[indx[25], indx[21]] = k[390]*y[:,17] + k[392]*y[:,20] - k[517]*y[:,25] + k[606]*y[:,52]
+ dfdy[indx[25], indx[22]] = k[381]*y[:,4] - k[609]*y[:,25]
dfdy[indx[25], indx[23]] = 0
dfdy[indx[25], indx[24]] = 0
- dfdy[indx[25], indx[25]] = -M*k[692]*y[:,53] - M*k[695]*y[:,0] - M*k[714] - k[198]*y[:,0] - k[384]*y[:,8] - k[385]*y[:,6] - k[387]*y[:,7] - k[389]*y[:,8] - k[391]*y[:,12] - k[393]*y[:,13] - k[395]*y[:,28] - k[397]*y[:,29] - k[399]*y[:,29] - k[401]*y[:,33] - k[404]*y[:,32] - k[406]*y[:,34] - k[502]*y[:,3] - k[514]*y[:,2] - k[515]*y[:,9] - k[517]*y[:,16] - k[519]*y[:,21] - k[522]*y[:,1] - k[550]*y[:,35] - k[588]*y[:,32] - k[803] - k[805]
+ dfdy[indx[25], indx[25]] = -M*k[742]*y[:,53] - M*k[745]*y[:,3] - M*k[776] - k[198]*y[:,3] - k[382]*y[:,8] - k[383]*y[:,6] - k[385]*y[:,7] - k[387]*y[:,8] - k[389]*y[:,12] - k[391]*y[:,13] - k[393]*y[:,28] - k[395]*y[:,29] - k[397]*y[:,29] - k[399]*y[:,33] - k[402]*y[:,32] - k[404]*y[:,34] - k[500]*y[:,1] - k[512]*y[:,0] - k[514]*y[:,9] - k[516]*y[:,16] - k[517]*y[:,21] - k[520]*y[:,2] - k[550]*y[:,35] - k[605]*y[:,20] - k[609]*y[:,22] - k[614]*y[:,53] - k[630]*y[:,32] - k[649]*y[:,67] - k[865] - k[867]
dfdy[indx[25], indx[26]] = 0
dfdy[indx[25], indx[27]] = 0
- dfdy[indx[25], indx[28]] = -k[395]*y[:,25]
- dfdy[indx[25], indx[29]] = -k[397]*y[:,25] - k[399]*y[:,25]
+ dfdy[indx[25], indx[28]] = -k[393]*y[:,25]
+ dfdy[indx[25], indx[29]] = -k[395]*y[:,25] - k[397]*y[:,25]
dfdy[indx[25], indx[30]] = 0
dfdy[indx[25], indx[31]] = 0
- dfdy[indx[25], indx[32]] = k[396]*y[:,4] + k[398]*y[:,2] - k[404]*y[:,25] - k[588]*y[:,25]
- dfdy[indx[25], indx[33]] = -k[401]*y[:,25] + k[549]*y[:,52]
- dfdy[indx[25], indx[34]] = -k[406]*y[:,25]
+ dfdy[indx[25], indx[32]] = k[394]*y[:,4] + k[396]*y[:,0] - k[402]*y[:,25] - k[630]*y[:,25] + k[650]*y[:,4]
+ dfdy[indx[25], indx[33]] = -k[399]*y[:,25] + k[549]*y[:,52]
+ dfdy[indx[25], indx[34]] = -k[404]*y[:,25]
dfdy[indx[25], indx[35]] = -k[550]*y[:,25]
dfdy[indx[25], indx[36]] = 0
dfdy[indx[25], indx[37]] = 0
dfdy[indx[25], indx[38]] = 0
dfdy[indx[25], indx[39]] = 0
- dfdy[indx[25], indx[40]] = 0
- dfdy[indx[25], indx[41]] = k[400]*y[:,4] + k[402]*y[:,2]
+ dfdy[indx[25], indx[40]] = k[398]*y[:,4] + k[400]*y[:,0]
+ dfdy[indx[25], indx[41]] = 0
dfdy[indx[25], indx[42]] = 0
- dfdy[indx[25], indx[43]] = k[403]*y[:,4] + k[587]*y[:,60]
- dfdy[indx[25], indx[44]] = k[405]*y[:,4]
+ dfdy[indx[25], indx[43]] = k[401]*y[:,4] + k[629]*y[:,65]
+ dfdy[indx[25], indx[44]] = k[403]*y[:,4]
dfdy[indx[25], indx[45]] = 0
dfdy[indx[25], indx[46]] = 0
dfdy[indx[25], indx[47]] = 0
@@ -4902,23 +5244,27 @@ def symjac(y, M, k):
dfdy[indx[25], indx[49]] = 0
dfdy[indx[25], indx[50]] = 0
dfdy[indx[25], indx[51]] = 0
- dfdy[indx[25], indx[52]] = 2*M*k[691]*y[:,52] + M*k[696] + k[501]*y[:,0] + k[513]*y[:,4] + k[516]*y[:,8] + k[518]*y[:,15] + k[520]*y[:,17] + k[521]*y[:,2] + k[549]*y[:,33]
- dfdy[indx[25], indx[53]] = -M*k[692]*y[:,25]
+ dfdy[indx[25], indx[52]] = 2*M*k[741]*y[:,52] + M*k[746] + k[499]*y[:,3] + k[511]*y[:,4] + k[513]*y[:,8] + k[515]*y[:,15] + k[518]*y[:,17] + k[519]*y[:,0] + k[549]*y[:,33] + k[606]*y[:,21] + k[610]*y[:,20] + 2*k[613]*y[:,52]
+ dfdy[indx[25], indx[53]] = -M*k[742]*y[:,25] - k[614]*y[:,25]
dfdy[indx[25], indx[54]] = 0
dfdy[indx[25], indx[55]] = 0
dfdy[indx[25], indx[56]] = 0
dfdy[indx[25], indx[57]] = 0
dfdy[indx[25], indx[58]] = 0
dfdy[indx[25], indx[59]] = 0
- dfdy[indx[25], indx[60]] = k[587]*y[:,43] + k[806]*y[:,4]
+ dfdy[indx[25], indx[60]] = 0
dfdy[indx[25], indx[61]] = 0
dfdy[indx[25], indx[62]] = 0
dfdy[indx[25], indx[63]] = 0
dfdy[indx[25], indx[64]] = 0
- dfdy[indx[26], indx[0]] = -k[201]*y[:,26] - k[204]*y[:,26]
+ dfdy[indx[25], indx[65]] = k[629]*y[:,43] + k[868]*y[:,4]
+ dfdy[indx[25], indx[66]] = 0
+ dfdy[indx[25], indx[67]] = -k[649]*y[:,25]
+ dfdy[indx[25], indx[68]] = 0
+ dfdy[indx[26], indx[0]] = 0
dfdy[indx[26], indx[1]] = 0
dfdy[indx[26], indx[2]] = 0
- dfdy[indx[26], indx[3]] = 0
+ dfdy[indx[26], indx[3]] = -k[201]*y[:,26] - k[204]*y[:,26]
dfdy[indx[26], indx[4]] = k[203]*y[:,13]
dfdy[indx[26], indx[5]] = 0
dfdy[indx[26], indx[6]] = 0
@@ -4941,7 +5287,7 @@ def symjac(y, M, k):
dfdy[indx[26], indx[23]] = 0
dfdy[indx[26], indx[24]] = 0
dfdy[indx[26], indx[25]] = 0
- dfdy[indx[26], indx[26]] = -k[201]*y[:,0] - k[204]*y[:,0]
+ dfdy[indx[26], indx[26]] = -k[201]*y[:,3] - k[204]*y[:,3]
dfdy[indx[26], indx[27]] = 0
dfdy[indx[26], indx[28]] = 0
dfdy[indx[26], indx[29]] = 0
@@ -4980,10 +5326,14 @@ def symjac(y, M, k):
dfdy[indx[26], indx[62]] = 0
dfdy[indx[26], indx[63]] = 0
dfdy[indx[26], indx[64]] = 0
- dfdy[indx[27], indx[0]] = -k[206]*y[:,27] - k[207]*y[:,27]
+ dfdy[indx[26], indx[65]] = 0
+ dfdy[indx[26], indx[66]] = 0
+ dfdy[indx[26], indx[67]] = 0
+ dfdy[indx[26], indx[68]] = 0
+ dfdy[indx[27], indx[0]] = 0
dfdy[indx[27], indx[1]] = 0
dfdy[indx[27], indx[2]] = 0
- dfdy[indx[27], indx[3]] = 0
+ dfdy[indx[27], indx[3]] = -k[206]*y[:,27] - k[207]*y[:,27]
dfdy[indx[27], indx[4]] = k[205]*y[:,11]
dfdy[indx[27], indx[5]] = 0
dfdy[indx[27], indx[6]] = 0
@@ -5007,7 +5357,7 @@ def symjac(y, M, k):
dfdy[indx[27], indx[24]] = 0
dfdy[indx[27], indx[25]] = 0
dfdy[indx[27], indx[26]] = 0
- dfdy[indx[27], indx[27]] = -k[206]*y[:,0] - k[207]*y[:,0]
+ dfdy[indx[27], indx[27]] = -k[206]*y[:,3] - k[207]*y[:,3]
dfdy[indx[27], indx[28]] = 0
dfdy[indx[27], indx[29]] = 0
dfdy[indx[27], indx[30]] = 0
@@ -5045,20 +5395,24 @@ def symjac(y, M, k):
dfdy[indx[27], indx[62]] = 0
dfdy[indx[27], indx[63]] = 0
dfdy[indx[27], indx[64]] = 0
- dfdy[indx[28], indx[0]] = -M*k[708]*y[:,28] + k[220]*y[:,30] + k[224]*y[:,31] + k[227]*y[:,32] + k[229]*y[:,29] + k[282]*y[:,34] + k[370]*y[:,36] + k[546]*y[:,56] + k[564]*y[:,54]
- dfdy[indx[28], indx[1]] = -k[264]*y[:,28]
- dfdy[indx[28], indx[2]] = -k[228]*y[:,28] - k[258]*y[:,28] + k[263]*y[:,29]
- dfdy[indx[28], indx[3]] = -M*k[665]*y[:,28] - k[230]*y[:,28] + k[372]*y[:,31] + k[552]*y[:,38] + k[562]*y[:,54]
- dfdy[indx[28], indx[4]] = -M*k[709]*y[:,28] + k[257]*y[:,29] + k[275]*y[:,30] + k[280]*y[:,34] + k[396]*y[:,32] - k[792]*y[:,28]
+ dfdy[indx[27], indx[65]] = 0
+ dfdy[indx[27], indx[66]] = 0
+ dfdy[indx[27], indx[67]] = 0
+ dfdy[indx[27], indx[68]] = 0
+ dfdy[indx[28], indx[0]] = -k[227]*y[:,28] - k[258]*y[:,28] + k[263]*y[:,29]
+ dfdy[indx[28], indx[1]] = -M*k[715]*y[:,28] - k[230]*y[:,28] + k[370]*y[:,31] + k[552]*y[:,37] + k[562]*y[:,54]
+ dfdy[indx[28], indx[2]] = -k[264]*y[:,28]
+ dfdy[indx[28], indx[3]] = -M*k[772]*y[:,28] + k[220]*y[:,30] + k[224]*y[:,31] + k[228]*y[:,32] + k[229]*y[:,29] + k[282]*y[:,34] + k[368]*y[:,41] + k[544]*y[:,56] + k[564]*y[:,54]
+ dfdy[indx[28], indx[4]] = -M*k[773]*y[:,28] + k[257]*y[:,29] + k[275]*y[:,30] + k[280]*y[:,34] + k[394]*y[:,32] + k[608]*y[:,44] - k[854]*y[:,28]
dfdy[indx[28], indx[5]] = -k[217]*y[:,28] - k[219]*y[:,28] + k[222]*y[:,29]
dfdy[indx[28], indx[6]] = k[218]*y[:,29] + k[226]*y[:,30] + k[284]*y[:,34]
dfdy[indx[28], indx[7]] = -k[221]*y[:,28] - k[223]*y[:,28]
- dfdy[indx[28], indx[8]] = k[237]*y[:,29] - k[369]*y[:,28] - k[371]*y[:,28]
+ dfdy[indx[28], indx[8]] = k[237]*y[:,29] - k[367]*y[:,28] - k[369]*y[:,28]
dfdy[indx[28], indx[9]] = -k[238]*y[:,28]
dfdy[indx[28], indx[10]] = -k[225]*y[:,28]
dfdy[indx[28], indx[11]] = 0
dfdy[indx[28], indx[12]] = 0
- dfdy[indx[28], indx[13]] = -k[545]*y[:,28]
+ dfdy[indx[28], indx[13]] = -k[543]*y[:,28]
dfdy[indx[28], indx[14]] = 0
dfdy[indx[28], indx[15]] = 0
dfdy[indx[28], indx[16]] = 0
@@ -5070,26 +5424,26 @@ def symjac(y, M, k):
dfdy[indx[28], indx[22]] = 0
dfdy[indx[28], indx[23]] = 0
dfdy[indx[28], indx[24]] = 0
- dfdy[indx[28], indx[25]] = -k[395]*y[:,28]
+ dfdy[indx[28], indx[25]] = -k[393]*y[:,28]
dfdy[indx[28], indx[26]] = 0
dfdy[indx[28], indx[27]] = 0
- dfdy[indx[28], indx[28]] = -M*k[665]*y[:,3] - 4*M*k[667]*y[:,28] - M*k[708]*y[:,0] - M*k[709]*y[:,4] - M*k[718] - k[217]*y[:,5] - k[219]*y[:,5] - k[221]*y[:,7] - k[223]*y[:,7] - k[225]*y[:,10] - k[228]*y[:,2] - k[230]*y[:,3] - k[238]*y[:,9] - k[258]*y[:,2] - k[264]*y[:,1] - k[276]*y[:,17] - k[277]*y[:,18] - k[279]*y[:,32] - k[281]*y[:,29] - k[283]*y[:,30] - k[369]*y[:,8] - k[371]*y[:,8] - k[395]*y[:,25] - k[492]*y[:,35] - k[545]*y[:,13] - k[551]*y[:,35] - k[561]*y[:,58] - k[563]*y[:,59] - 4*k[784]*y[:,28] - k[792]*y[:,4]
- dfdy[indx[28], indx[29]] = M*k[707] + k[218]*y[:,6] + k[222]*y[:,5] + k[229]*y[:,0] + k[237]*y[:,8] + k[257]*y[:,4] + k[263]*y[:,2] - k[281]*y[:,28] + k[491]*y[:,33]
- dfdy[indx[28], indx[30]] = k[220]*y[:,0] + k[226]*y[:,6] + k[275]*y[:,4] - k[283]*y[:,28]
- dfdy[indx[28], indx[31]] = k[224]*y[:,0] + k[372]*y[:,3]
- dfdy[indx[28], indx[32]] = M*k[710] + k[227]*y[:,0] + k[278]*y[:,17] - k[279]*y[:,28] + k[396]*y[:,4] + k[791]
- dfdy[indx[28], indx[33]] = M*k[666] + k[491]*y[:,29]
- dfdy[indx[28], indx[34]] = 2*M*k[668] + k[280]*y[:,4] + k[282]*y[:,0] + k[284]*y[:,6] + 2*k[783]
- dfdy[indx[28], indx[35]] = -k[492]*y[:,28] - k[551]*y[:,28]
- dfdy[indx[28], indx[36]] = k[370]*y[:,0]
- dfdy[indx[28], indx[37]] = 0
- dfdy[indx[28], indx[38]] = k[552]*y[:,3]
+ dfdy[indx[28], indx[28]] = -M*k[715]*y[:,1] - 4*M*k[717]*y[:,28] - M*k[772]*y[:,3] - M*k[773]*y[:,4] - M*k[780] - k[217]*y[:,5] - k[219]*y[:,5] - k[221]*y[:,7] - k[223]*y[:,7] - k[225]*y[:,10] - k[227]*y[:,0] - k[230]*y[:,1] - k[238]*y[:,9] - k[258]*y[:,0] - k[264]*y[:,2] - k[276]*y[:,17] - k[277]*y[:,18] - k[279]*y[:,32] - k[281]*y[:,29] - k[283]*y[:,30] - k[367]*y[:,8] - k[369]*y[:,8] - k[393]*y[:,25] - k[490]*y[:,35] - k[543]*y[:,13] - k[551]*y[:,35] - k[561]*y[:,58] - k[563]*y[:,59] - k[607]*y[:,43] - 4*k[846]*y[:,28] - k[854]*y[:,4]
+ dfdy[indx[28], indx[29]] = M*k[771] + k[218]*y[:,6] + k[222]*y[:,5] + k[229]*y[:,3] + k[237]*y[:,8] + k[257]*y[:,4] + k[263]*y[:,0] - k[281]*y[:,28] + k[489]*y[:,33]
+ dfdy[indx[28], indx[30]] = k[220]*y[:,3] + k[226]*y[:,6] + k[275]*y[:,4] - k[283]*y[:,28]
+ dfdy[indx[28], indx[31]] = k[224]*y[:,3] + k[370]*y[:,1]
+ dfdy[indx[28], indx[32]] = M*k[774] + k[228]*y[:,3] + k[278]*y[:,17] - k[279]*y[:,28] + k[394]*y[:,4] + k[853]
+ dfdy[indx[28], indx[33]] = M*k[716] + k[489]*y[:,29]
+ dfdy[indx[28], indx[34]] = 2*M*k[718] + k[280]*y[:,4] + k[282]*y[:,3] + k[284]*y[:,6] + 2*k[845]
+ dfdy[indx[28], indx[35]] = -k[490]*y[:,28] - k[551]*y[:,28]
+ dfdy[indx[28], indx[36]] = 0
+ dfdy[indx[28], indx[37]] = k[552]*y[:,1]
+ dfdy[indx[28], indx[38]] = 0
dfdy[indx[28], indx[39]] = 0
dfdy[indx[28], indx[40]] = 0
- dfdy[indx[28], indx[41]] = 0
+ dfdy[indx[28], indx[41]] = k[368]*y[:,3]
dfdy[indx[28], indx[42]] = 0
- dfdy[indx[28], indx[43]] = 0
- dfdy[indx[28], indx[44]] = 0
+ dfdy[indx[28], indx[43]] = -k[607]*y[:,28]
+ dfdy[indx[28], indx[44]] = k[608]*y[:,4]
dfdy[indx[28], indx[45]] = 0
dfdy[indx[28], indx[46]] = 0
dfdy[indx[28], indx[47]] = 0
@@ -5099,22 +5453,26 @@ def symjac(y, M, k):
dfdy[indx[28], indx[51]] = 0
dfdy[indx[28], indx[52]] = 0
dfdy[indx[28], indx[53]] = 0
- dfdy[indx[28], indx[54]] = k[562]*y[:,3] + k[564]*y[:,0]
+ dfdy[indx[28], indx[54]] = k[562]*y[:,1] + k[564]*y[:,3]
dfdy[indx[28], indx[55]] = 0
- dfdy[indx[28], indx[56]] = k[546]*y[:,0]
+ dfdy[indx[28], indx[56]] = k[544]*y[:,3]
dfdy[indx[28], indx[57]] = 0
dfdy[indx[28], indx[58]] = -k[561]*y[:,28]
dfdy[indx[28], indx[59]] = -k[563]*y[:,28]
dfdy[indx[28], indx[60]] = 0
dfdy[indx[28], indx[61]] = 0
- dfdy[indx[28], indx[62]] = M*k[717]
+ dfdy[indx[28], indx[62]] = 0
dfdy[indx[28], indx[63]] = 0
dfdy[indx[28], indx[64]] = 0
- dfdy[indx[29], indx[0]] = M*k[708]*y[:,28] - k[229]*y[:,29] + k[231]*y[:,33] + k[260]*y[:,32] + k[282]*y[:,34] + k[302]*y[:,30] + k[326]*y[:,37] + k[410]*y[:,44] + k[448]*y[:,41] - k[600]*y[:,29] - 2*k[788]*y[:,0]*y[:,29]
- dfdy[indx[29], indx[1]] = k[264]*y[:,28] - k[274]*y[:,29] - k[496]*y[:,29] + k[601]*y[:,62]
- dfdy[indx[29], indx[2]] = k[258]*y[:,28] - k[263]*y[:,29] - k[271]*y[:,29] + k[273]*y[:,33] + k[296]*y[:,34] + k[398]*y[:,32] - k[447]*y[:,29] - k[602]*y[:,29]
- dfdy[indx[29], indx[3]] = k[230]*y[:,28] - k[232]*y[:,29] + 2*k[304]*y[:,34] + k[495]*y[:,41] + k[599]*y[:,62]
- dfdy[indx[29], indx[4]] = -k[257]*y[:,29] - k[259]*y[:,29] + k[272]*y[:,33] + k[323]*y[:,31] + k[375]*y[:,38] + k[400]*y[:,41]
+ dfdy[indx[28], indx[65]] = 0
+ dfdy[indx[28], indx[66]] = 0
+ dfdy[indx[28], indx[67]] = M*k[779]
+ dfdy[indx[28], indx[68]] = 0
+ dfdy[indx[29], indx[0]] = k[258]*y[:,28] - k[263]*y[:,29] - k[271]*y[:,29] + k[273]*y[:,33] + k[296]*y[:,34] + k[396]*y[:,32] - k[445]*y[:,29] - k[646]*y[:,29]
+ dfdy[indx[29], indx[1]] = k[230]*y[:,28] - k[232]*y[:,29] + 2*k[304]*y[:,34] + k[493]*y[:,40] + k[643]*y[:,67]
+ dfdy[indx[29], indx[2]] = k[264]*y[:,28] - k[274]*y[:,29] - k[494]*y[:,29] + k[645]*y[:,67]
+ dfdy[indx[29], indx[3]] = M*k[772]*y[:,28] - k[229]*y[:,29] + k[231]*y[:,33] + k[260]*y[:,32] + k[282]*y[:,34] + k[302]*y[:,30] + k[324]*y[:,36] + k[408]*y[:,44] + k[446]*y[:,40] - k[644]*y[:,29] - 2*k[850]*y[:,29]*y[:,3]
+ dfdy[indx[29], indx[4]] = -k[257]*y[:,29] - k[259]*y[:,29] + k[272]*y[:,33] + k[321]*y[:,31] + k[373]*y[:,37] + k[398]*y[:,40]
dfdy[indx[29], indx[5]] = k[217]*y[:,28] - k[222]*y[:,29] + k[291]*y[:,32]
dfdy[indx[29], indx[6]] = -k[218]*y[:,29] - k[301]*y[:,29]
dfdy[indx[29], indx[7]] = k[221]*y[:,28] + k[285]*y[:,34]
@@ -5127,7 +5485,7 @@ def symjac(y, M, k):
dfdy[indx[29], indx[14]] = 0
dfdy[indx[29], indx[15]] = 0
dfdy[indx[29], indx[16]] = 0
- dfdy[indx[29], indx[17]] = -M*k[674]*y[:,29] - k[292]*y[:,29] - k[324]*y[:,29] - k[798]*y[:,29]
+ dfdy[indx[29], indx[17]] = -M*k[724]*y[:,29] - k[292]*y[:,29] - k[322]*y[:,29] - k[860]*y[:,29]
dfdy[indx[29], indx[18]] = 0
dfdy[indx[29], indx[19]] = 0
dfdy[indx[29], indx[20]] = 0
@@ -5135,33 +5493,33 @@ def symjac(y, M, k):
dfdy[indx[29], indx[22]] = 0
dfdy[indx[29], indx[23]] = 0
dfdy[indx[29], indx[24]] = 0
- dfdy[indx[29], indx[25]] = -k[397]*y[:,29] - k[399]*y[:,29]
+ dfdy[indx[29], indx[25]] = -k[395]*y[:,29] - k[397]*y[:,29]
dfdy[indx[29], indx[26]] = 0
dfdy[indx[29], indx[27]] = 0
- dfdy[indx[29], indx[28]] = M*k[708]*y[:,0] + k[217]*y[:,5] + k[221]*y[:,7] + k[230]*y[:,3] + k[238]*y[:,9] + k[258]*y[:,2] + k[264]*y[:,1] - k[281]*y[:,29] + k[492]*y[:,35]
- dfdy[indx[29], indx[29]] = -M*k[674]*y[:,17] - M*k[707] - k[218]*y[:,6] - k[222]*y[:,5] - k[229]*y[:,0] - k[232]*y[:,3] - k[237]*y[:,8] - k[240]*y[:,9] - k[248]*y[:,11] - k[257]*y[:,4] - k[259]*y[:,4] - k[263]*y[:,2] - k[271]*y[:,2] - k[274]*y[:,1] - k[281]*y[:,28] - k[286]*y[:,31] - k[292]*y[:,17] - k[295]*y[:,32] - k[301]*y[:,6] - 4*k[303]*y[:,29] - k[314]*y[:,35] - k[319]*y[:,36] - k[324]*y[:,17] - k[325]*y[:,33] - k[359]*y[:,37] - k[376]*y[:,32] - k[397]*y[:,25] - k[399]*y[:,25] - k[409]*y[:,32] - k[447]*y[:,2] - k[472]*y[:,42] - k[487]*y[:,39] - k[491]*y[:,33] - k[496]*y[:,1] - k[600]*y[:,0] - k[602]*y[:,2] - k[604]*y[:,33] - k[788]*y[:,0]**2 - k[798]*y[:,17]
- dfdy[indx[29], indx[30]] = k[302]*y[:,0]
- dfdy[indx[29], indx[31]] = -k[286]*y[:,29] + k[320]*y[:,33] + k[323]*y[:,4]
- dfdy[indx[29], indx[32]] = k[260]*y[:,0] + k[291]*y[:,5] - k[295]*y[:,29] - k[376]*y[:,29] + k[398]*y[:,2] - k[409]*y[:,29]
- dfdy[indx[29], indx[33]] = k[231]*y[:,0] + k[239]*y[:,8] + k[247]*y[:,12] + k[272]*y[:,4] + k[273]*y[:,2] + 2*k[313]*y[:,33] + k[320]*y[:,31] - k[325]*y[:,29] + k[360]*y[:,38] + k[471]*y[:,51] + k[488]*y[:,37] - k[491]*y[:,29] - k[604]*y[:,29]
- dfdy[indx[29], indx[34]] = k[282]*y[:,0] + k[285]*y[:,7] + k[296]*y[:,2] + 2*k[304]*y[:,3]
- dfdy[indx[29], indx[35]] = -k[314]*y[:,29] + k[492]*y[:,28] + k[603]*y[:,62] + k[787]
- dfdy[indx[29], indx[36]] = -k[319]*y[:,29]
- dfdy[indx[29], indx[37]] = k[326]*y[:,0] - k[359]*y[:,29] + k[488]*y[:,33]
- dfdy[indx[29], indx[38]] = k[360]*y[:,33] + k[375]*y[:,4]
- dfdy[indx[29], indx[39]] = -k[487]*y[:,29]
- dfdy[indx[29], indx[40]] = 0
- dfdy[indx[29], indx[41]] = k[400]*y[:,4] + k[448]*y[:,0] + k[495]*y[:,3]
- dfdy[indx[29], indx[42]] = M*k[673] - k[472]*y[:,29] + k[797]
+ dfdy[indx[29], indx[28]] = M*k[772]*y[:,3] + k[217]*y[:,5] + k[221]*y[:,7] + k[230]*y[:,1] + k[238]*y[:,9] + k[258]*y[:,0] + k[264]*y[:,2] - k[281]*y[:,29] + k[490]*y[:,35]
+ dfdy[indx[29], indx[29]] = -M*k[724]*y[:,17] - M*k[771] - k[218]*y[:,6] - k[222]*y[:,5] - k[229]*y[:,3] - k[232]*y[:,1] - k[237]*y[:,8] - k[240]*y[:,9] - k[248]*y[:,11] - k[257]*y[:,4] - k[259]*y[:,4] - k[263]*y[:,0] - k[271]*y[:,0] - k[274]*y[:,2] - k[281]*y[:,28] - k[286]*y[:,31] - k[292]*y[:,17] - k[295]*y[:,32] - k[301]*y[:,6] - 4*k[303]*y[:,29] - k[314]*y[:,35] - k[322]*y[:,17] - k[323]*y[:,33] - k[357]*y[:,36] - k[374]*y[:,32] - k[395]*y[:,25] - k[397]*y[:,25] - k[407]*y[:,32] - k[445]*y[:,0] - k[470]*y[:,42] - k[485]*y[:,38] - k[489]*y[:,33] - k[494]*y[:,2] - k[644]*y[:,3] - k[646]*y[:,0] - k[648]*y[:,33] - k[850]*y[:,3]**2 - k[860]*y[:,17]
+ dfdy[indx[29], indx[30]] = k[302]*y[:,3]
+ dfdy[indx[29], indx[31]] = -k[286]*y[:,29] + k[321]*y[:,4]
+ dfdy[indx[29], indx[32]] = k[260]*y[:,3] + k[291]*y[:,5] - k[295]*y[:,29] - k[374]*y[:,29] + k[396]*y[:,0] - k[407]*y[:,29]
+ dfdy[indx[29], indx[33]] = k[231]*y[:,3] + k[239]*y[:,8] + k[247]*y[:,12] + k[272]*y[:,4] + k[273]*y[:,0] + 2*k[313]*y[:,33] - k[323]*y[:,29] + k[358]*y[:,37] + k[469]*y[:,51] + k[486]*y[:,36] - k[489]*y[:,29] - k[648]*y[:,29]
+ dfdy[indx[29], indx[34]] = k[282]*y[:,3] + k[285]*y[:,7] + k[296]*y[:,0] + 2*k[304]*y[:,1]
+ dfdy[indx[29], indx[35]] = -k[314]*y[:,29] + k[490]*y[:,28] + k[647]*y[:,67] + k[849]
+ dfdy[indx[29], indx[36]] = k[324]*y[:,3] - k[357]*y[:,29] + k[486]*y[:,33]
+ dfdy[indx[29], indx[37]] = k[358]*y[:,33] + k[373]*y[:,4]
+ dfdy[indx[29], indx[38]] = -k[485]*y[:,29]
+ dfdy[indx[29], indx[39]] = 0
+ dfdy[indx[29], indx[40]] = k[398]*y[:,4] + k[446]*y[:,3] + k[493]*y[:,1]
+ dfdy[indx[29], indx[41]] = 0
+ dfdy[indx[29], indx[42]] = M*k[723] - k[470]*y[:,29] + k[859]
dfdy[indx[29], indx[43]] = 0
- dfdy[indx[29], indx[44]] = k[410]*y[:,0]
+ dfdy[indx[29], indx[44]] = k[408]*y[:,3]
dfdy[indx[29], indx[45]] = 0
dfdy[indx[29], indx[46]] = 0
dfdy[indx[29], indx[47]] = 0
dfdy[indx[29], indx[48]] = 0
dfdy[indx[29], indx[49]] = 0
dfdy[indx[29], indx[50]] = 0
- dfdy[indx[29], indx[51]] = k[471]*y[:,33]
+ dfdy[indx[29], indx[51]] = k[469]*y[:,33]
dfdy[indx[29], indx[52]] = 0
dfdy[indx[29], indx[53]] = 0
dfdy[indx[29], indx[54]] = 0
@@ -5172,28 +5530,32 @@ def symjac(y, M, k):
dfdy[indx[29], indx[59]] = 0
dfdy[indx[29], indx[60]] = 0
dfdy[indx[29], indx[61]] = 0
- dfdy[indx[29], indx[62]] = k[599]*y[:,3] + k[601]*y[:,1] + k[603]*y[:,35]
+ dfdy[indx[29], indx[62]] = 0
dfdy[indx[29], indx[63]] = 0
dfdy[indx[29], indx[64]] = 0
- dfdy[indx[30], indx[0]] = -M*k[663]*y[:,30] - k[220]*y[:,30] + k[234]*y[:,31] - k[302]*y[:,30] + k[480]*y[:,51] + k[526]*y[:,54] + k[538]*y[:,57] - k[790]*y[:,30]
- dfdy[indx[30], indx[1]] = -k[268]*y[:,30]
- dfdy[indx[30], indx[2]] = -k[265]*y[:,30] + k[267]*y[:,31] - k[479]*y[:,30]
- dfdy[indx[30], indx[3]] = -k[233]*y[:,30]
+ dfdy[indx[29], indx[65]] = 0
+ dfdy[indx[29], indx[66]] = 0
+ dfdy[indx[29], indx[67]] = k[643]*y[:,1] + k[645]*y[:,2] + k[647]*y[:,35]
+ dfdy[indx[29], indx[68]] = 0
+ dfdy[indx[30], indx[0]] = -k[265]*y[:,30] + k[267]*y[:,31] - k[477]*y[:,30]
+ dfdy[indx[30], indx[1]] = -k[233]*y[:,30]
+ dfdy[indx[30], indx[2]] = -k[268]*y[:,30]
+ dfdy[indx[30], indx[3]] = -M*k[713]*y[:,30] - k[220]*y[:,30] + k[234]*y[:,31] - k[302]*y[:,30] + k[478]*y[:,51] + k[524]*y[:,54] + k[536]*y[:,57] + k[612]*y[:,56] - k[852]*y[:,30]
dfdy[indx[30], indx[4]] = k[266]*y[:,31] - k[275]*y[:,30] - k[288]*y[:,30]
dfdy[indx[30], indx[5]] = k[219]*y[:,28] + k[236]*y[:,31]
dfdy[indx[30], indx[6]] = -k[226]*y[:,30] + k[284]*y[:,34] + k[287]*y[:,32] + k[301]*y[:,29]
dfdy[indx[30], indx[7]] = -k[235]*y[:,30] + k[242]*y[:,31]
- dfdy[indx[30], indx[8]] = -k[241]*y[:,30] + k[244]*y[:,31]
+ dfdy[indx[30], indx[8]] = -k[241]*y[:,30] + k[244]*y[:,31] - k[611]*y[:,30]
dfdy[indx[30], indx[9]] = -k[243]*y[:,30]
dfdy[indx[30], indx[10]] = k[225]*y[:,28] + 2*k[245]*y[:,34]
- dfdy[indx[30], indx[11]] = -k[525]*y[:,30]
+ dfdy[indx[30], indx[11]] = -k[523]*y[:,30]
dfdy[indx[30], indx[12]] = 0
dfdy[indx[30], indx[13]] = 0
- dfdy[indx[30], indx[14]] = -k[537]*y[:,30]
- dfdy[indx[30], indx[15]] = k[322]*y[:,31]
- dfdy[indx[30], indx[16]] = -k[321]*y[:,30]
- dfdy[indx[30], indx[17]] = k[276]*y[:,28] + k[300]*y[:,34] + k[476]*y[:,51]
- dfdy[indx[30], indx[18]] = -k[475]*y[:,30]
+ dfdy[indx[30], indx[14]] = -k[535]*y[:,30]
+ dfdy[indx[30], indx[15]] = k[320]*y[:,31]
+ dfdy[indx[30], indx[16]] = -k[319]*y[:,30]
+ dfdy[indx[30], indx[17]] = k[276]*y[:,28] + k[300]*y[:,34] + k[474]*y[:,51]
+ dfdy[indx[30], indx[18]] = -k[473]*y[:,30]
dfdy[indx[30], indx[19]] = 0
dfdy[indx[30], indx[20]] = 0
dfdy[indx[30], indx[21]] = 0
@@ -5205,8 +5567,8 @@ def symjac(y, M, k):
dfdy[indx[30], indx[27]] = 0
dfdy[indx[30], indx[28]] = k[219]*y[:,5] + k[225]*y[:,10] + k[276]*y[:,17] - k[283]*y[:,30]
dfdy[indx[30], indx[29]] = k[301]*y[:,6]
- dfdy[indx[30], indx[30]] = -M*k[663]*y[:,0] - k[220]*y[:,0] - k[226]*y[:,6] - k[233]*y[:,3] - k[235]*y[:,7] - k[241]*y[:,8] - k[243]*y[:,9] - 4*k[246]*y[:,30] - k[265]*y[:,2] - k[268]*y[:,1] - k[275]*y[:,4] - k[283]*y[:,28] - k[288]*y[:,4] - k[299]*y[:,32] - k[302]*y[:,0] - k[317]*y[:,35] - k[321]*y[:,16] - k[470]*y[:,42] - k[475]*y[:,18] - k[479]*y[:,2] - k[525]*y[:,11] - k[537]*y[:,14] - k[790]*y[:,0]
- dfdy[indx[30], indx[31]] = M*k[664] + k[234]*y[:,0] + k[236]*y[:,5] + k[242]*y[:,7] + k[244]*y[:,8] + k[266]*y[:,4] + k[267]*y[:,2] + k[318]*y[:,33] + k[322]*y[:,15] + k[469]*y[:,51] + k[789]
+ dfdy[indx[30], indx[30]] = -M*k[713]*y[:,3] - k[220]*y[:,3] - k[226]*y[:,6] - k[233]*y[:,1] - k[235]*y[:,7] - k[241]*y[:,8] - k[243]*y[:,9] - 4*k[246]*y[:,30] - k[265]*y[:,0] - k[268]*y[:,2] - k[275]*y[:,4] - k[283]*y[:,28] - k[288]*y[:,4] - k[299]*y[:,32] - k[302]*y[:,3] - k[317]*y[:,35] - k[319]*y[:,16] - k[468]*y[:,42] - k[473]*y[:,18] - k[477]*y[:,0] - k[523]*y[:,11] - k[535]*y[:,14] - k[611]*y[:,8] - k[852]*y[:,3]
+ dfdy[indx[30], indx[31]] = M*k[714] + k[234]*y[:,3] + k[236]*y[:,5] + k[242]*y[:,7] + k[244]*y[:,8] + k[266]*y[:,4] + k[267]*y[:,0] + k[318]*y[:,33] + k[320]*y[:,15] + k[467]*y[:,51] + k[851]
dfdy[indx[30], indx[32]] = k[287]*y[:,6] - k[299]*y[:,30]
dfdy[indx[30], indx[33]] = k[318]*y[:,31]
dfdy[indx[30], indx[34]] = 2*k[245]*y[:,10] + k[284]*y[:,6] + k[300]*y[:,17]
@@ -5217,7 +5579,7 @@ def symjac(y, M, k):
dfdy[indx[30], indx[39]] = 0
dfdy[indx[30], indx[40]] = 0
dfdy[indx[30], indx[41]] = 0
- dfdy[indx[30], indx[42]] = -k[470]*y[:,30]
+ dfdy[indx[30], indx[42]] = -k[468]*y[:,30]
dfdy[indx[30], indx[43]] = 0
dfdy[indx[30], indx[44]] = 0
dfdy[indx[30], indx[45]] = 0
@@ -5226,13 +5588,13 @@ def symjac(y, M, k):
dfdy[indx[30], indx[48]] = 0
dfdy[indx[30], indx[49]] = 0
dfdy[indx[30], indx[50]] = 0
- dfdy[indx[30], indx[51]] = k[469]*y[:,31] + k[476]*y[:,17] + k[480]*y[:,0]
+ dfdy[indx[30], indx[51]] = k[467]*y[:,31] + k[474]*y[:,17] + k[478]*y[:,3]
dfdy[indx[30], indx[52]] = 0
dfdy[indx[30], indx[53]] = 0
- dfdy[indx[30], indx[54]] = k[526]*y[:,0]
+ dfdy[indx[30], indx[54]] = k[524]*y[:,3]
dfdy[indx[30], indx[55]] = 0
- dfdy[indx[30], indx[56]] = 0
- dfdy[indx[30], indx[57]] = k[538]*y[:,0]
+ dfdy[indx[30], indx[56]] = k[612]*y[:,3]
+ dfdy[indx[30], indx[57]] = k[536]*y[:,3]
dfdy[indx[30], indx[58]] = 0
dfdy[indx[30], indx[59]] = 0
dfdy[indx[30], indx[60]] = 0
@@ -5240,64 +5602,68 @@ def symjac(y, M, k):
dfdy[indx[30], indx[62]] = 0
dfdy[indx[30], indx[63]] = 0
dfdy[indx[30], indx[64]] = 0
- dfdy[indx[31], indx[0]] = M*k[663]*y[:,30] - M*k[671]*y[:,31] - k[224]*y[:,31] - k[234]*y[:,31] + k[368]*y[:,42] + k[478]*y[:,51] + k[523]*y[:,36] + k[528]*y[:,54] + k[529]*y[:,55] + k[540]*y[:,57] + k[790]*y[:,30]
- dfdy[indx[31], indx[1]] = k[268]*y[:,30] - k[294]*y[:,31] - k[362]*y[:,31]
- dfdy[indx[31], indx[2]] = k[265]*y[:,30] - k[267]*y[:,31] - k[269]*y[:,31] + k[361]*y[:,36] - k[367]*y[:,31]
- dfdy[indx[31], indx[3]] = k[233]*y[:,30] - k[372]*y[:,31] - k[524]*y[:,31]
- dfdy[indx[31], indx[4]] = -k[266]*y[:,31] - k[290]*y[:,31] - k[323]*y[:,31] - k[477]*y[:,31]
+ dfdy[indx[30], indx[65]] = 0
+ dfdy[indx[30], indx[66]] = 0
+ dfdy[indx[30], indx[67]] = 0
+ dfdy[indx[30], indx[68]] = 0
+ dfdy[indx[31], indx[0]] = k[265]*y[:,30] - k[267]*y[:,31] - k[269]*y[:,31] + k[359]*y[:,41] - k[365]*y[:,31]
+ dfdy[indx[31], indx[1]] = k[233]*y[:,30] - k[370]*y[:,31] - k[522]*y[:,31]
+ dfdy[indx[31], indx[2]] = k[268]*y[:,30] - k[294]*y[:,31] - k[360]*y[:,31]
+ dfdy[indx[31], indx[3]] = M*k[713]*y[:,30] - M*k[721]*y[:,31] - k[224]*y[:,31] - k[234]*y[:,31] + k[366]*y[:,42] + k[476]*y[:,51] + k[521]*y[:,41] + k[526]*y[:,54] + k[527]*y[:,55] + k[538]*y[:,57] + k[852]*y[:,30]
+ dfdy[indx[31], indx[4]] = -k[266]*y[:,31] - k[290]*y[:,31] - k[321]*y[:,31] - k[475]*y[:,31] + k[545]*y[:,56]
dfdy[indx[31], indx[5]] = -k[236]*y[:,31] + k[289]*y[:,32]
dfdy[indx[31], indx[6]] = 0
dfdy[indx[31], indx[7]] = k[223]*y[:,28] + k[235]*y[:,30] - k[242]*y[:,31] + k[285]*y[:,34]
- dfdy[indx[31], indx[8]] = k[241]*y[:,30] - k[244]*y[:,31] + k[293]*y[:,32] + k[371]*y[:,28] - k[530]*y[:,31]
+ dfdy[indx[31], indx[8]] = k[241]*y[:,30] - k[244]*y[:,31] + k[293]*y[:,32] + k[369]*y[:,28] - k[528]*y[:,31]
dfdy[indx[31], indx[9]] = k[243]*y[:,30]
- dfdy[indx[31], indx[10]] = k[541]*y[:,57]
+ dfdy[indx[31], indx[10]] = k[539]*y[:,57]
dfdy[indx[31], indx[11]] = 0
- dfdy[indx[31], indx[12]] = -k[527]*y[:,31]
- dfdy[indx[31], indx[13]] = -k[539]*y[:,31]
+ dfdy[indx[31], indx[12]] = -k[525]*y[:,31]
+ dfdy[indx[31], indx[13]] = -k[537]*y[:,31]
dfdy[indx[31], indx[14]] = 0
- dfdy[indx[31], indx[15]] = -k[322]*y[:,31]
- dfdy[indx[31], indx[16]] = k[321]*y[:,30]
- dfdy[indx[31], indx[17]] = k[270]*y[:,33] + k[324]*y[:,29]
+ dfdy[indx[31], indx[15]] = -k[320]*y[:,31]
+ dfdy[indx[31], indx[16]] = k[319]*y[:,30]
+ dfdy[indx[31], indx[17]] = k[270]*y[:,33] + k[322]*y[:,29]
dfdy[indx[31], indx[18]] = 0
dfdy[indx[31], indx[19]] = 0
dfdy[indx[31], indx[20]] = 0
- dfdy[indx[31], indx[21]] = 0
+ dfdy[indx[31], indx[21]] = -k[546]*y[:,31]
dfdy[indx[31], indx[22]] = 0
dfdy[indx[31], indx[23]] = 0
dfdy[indx[31], indx[24]] = 0
dfdy[indx[31], indx[25]] = 0
dfdy[indx[31], indx[26]] = 0
dfdy[indx[31], indx[27]] = 0
- dfdy[indx[31], indx[28]] = k[223]*y[:,7] + k[371]*y[:,8]
- dfdy[indx[31], indx[29]] = -k[286]*y[:,31] + k[319]*y[:,36] + k[324]*y[:,17]
- dfdy[indx[31], indx[30]] = M*k[663]*y[:,0] + k[233]*y[:,3] + k[235]*y[:,7] + k[241]*y[:,8] + k[243]*y[:,9] + k[265]*y[:,2] + k[268]*y[:,1] + k[317]*y[:,35] + k[321]*y[:,16] + k[470]*y[:,42] + k[790]*y[:,0]
- dfdy[indx[31], indx[31]] = -M*k[664] - M*k[671]*y[:,0] - k[224]*y[:,0] - k[234]*y[:,0] - k[236]*y[:,5] - k[242]*y[:,7] - k[244]*y[:,8] - k[266]*y[:,4] - k[267]*y[:,2] - k[269]*y[:,2] - k[286]*y[:,29] - k[290]*y[:,4] - k[294]*y[:,1] - k[318]*y[:,33] - k[320]*y[:,33] - k[322]*y[:,15] - k[323]*y[:,4] - k[362]*y[:,1] - k[367]*y[:,2] - k[372]*y[:,3] - k[469]*y[:,51] - k[477]*y[:,4] - k[490]*y[:,35] - k[524]*y[:,3] - k[527]*y[:,12] - k[530]*y[:,8] - k[539]*y[:,13] - k[542]*y[:,45] - k[789]
+ dfdy[indx[31], indx[28]] = k[223]*y[:,7] + k[369]*y[:,8]
+ dfdy[indx[31], indx[29]] = -k[286]*y[:,31] + k[322]*y[:,17]
+ dfdy[indx[31], indx[30]] = M*k[713]*y[:,3] + k[233]*y[:,1] + k[235]*y[:,7] + k[241]*y[:,8] + k[243]*y[:,9] + k[265]*y[:,0] + k[268]*y[:,2] + k[317]*y[:,35] + k[319]*y[:,16] + k[468]*y[:,42] + k[852]*y[:,3]
+ dfdy[indx[31], indx[31]] = -M*k[714] - M*k[721]*y[:,3] - k[224]*y[:,3] - k[234]*y[:,3] - k[236]*y[:,5] - k[242]*y[:,7] - k[244]*y[:,8] - k[266]*y[:,4] - k[267]*y[:,0] - k[269]*y[:,0] - k[286]*y[:,29] - k[290]*y[:,4] - k[294]*y[:,2] - k[318]*y[:,33] - k[320]*y[:,15] - k[321]*y[:,4] - k[360]*y[:,2] - k[365]*y[:,0] - k[370]*y[:,1] - k[467]*y[:,51] - k[475]*y[:,4] - k[488]*y[:,35] - k[522]*y[:,1] - k[525]*y[:,12] - k[528]*y[:,8] - k[537]*y[:,13] - k[540]*y[:,45] - k[546]*y[:,21] - k[851]
dfdy[indx[31], indx[32]] = k[289]*y[:,5] + k[293]*y[:,8]
- dfdy[indx[31], indx[33]] = k[270]*y[:,17] - k[318]*y[:,31] - k[320]*y[:,31] + k[489]*y[:,36]
+ dfdy[indx[31], indx[33]] = k[270]*y[:,17] - k[318]*y[:,31] + k[487]*y[:,41]
dfdy[indx[31], indx[34]] = k[285]*y[:,7]
- dfdy[indx[31], indx[35]] = k[317]*y[:,30] - k[490]*y[:,31]
- dfdy[indx[31], indx[36]] = M*k[672] + k[319]*y[:,29] + k[361]*y[:,2] + k[489]*y[:,33] + k[523]*y[:,0]
+ dfdy[indx[31], indx[35]] = k[317]*y[:,30] - k[488]*y[:,31]
+ dfdy[indx[31], indx[36]] = 0
dfdy[indx[31], indx[37]] = 0
dfdy[indx[31], indx[38]] = 0
dfdy[indx[31], indx[39]] = 0
dfdy[indx[31], indx[40]] = 0
- dfdy[indx[31], indx[41]] = 0
- dfdy[indx[31], indx[42]] = k[368]*y[:,0] + k[470]*y[:,30]
+ dfdy[indx[31], indx[41]] = M*k[722] + k[359]*y[:,0] + k[487]*y[:,33] + k[521]*y[:,3]
+ dfdy[indx[31], indx[42]] = k[366]*y[:,3] + k[468]*y[:,30]
dfdy[indx[31], indx[43]] = 0
dfdy[indx[31], indx[44]] = 0
- dfdy[indx[31], indx[45]] = -k[542]*y[:,31]
+ dfdy[indx[31], indx[45]] = -k[540]*y[:,31]
dfdy[indx[31], indx[46]] = 0
dfdy[indx[31], indx[47]] = 0
dfdy[indx[31], indx[48]] = 0
dfdy[indx[31], indx[49]] = 0
dfdy[indx[31], indx[50]] = 0
- dfdy[indx[31], indx[51]] = -k[469]*y[:,31] + k[478]*y[:,0]
+ dfdy[indx[31], indx[51]] = -k[467]*y[:,31] + k[476]*y[:,3]
dfdy[indx[31], indx[52]] = 0
dfdy[indx[31], indx[53]] = 0
- dfdy[indx[31], indx[54]] = k[528]*y[:,0]
- dfdy[indx[31], indx[55]] = k[529]*y[:,0]
- dfdy[indx[31], indx[56]] = 0
- dfdy[indx[31], indx[57]] = k[540]*y[:,0] + k[541]*y[:,10]
+ dfdy[indx[31], indx[54]] = k[526]*y[:,3]
+ dfdy[indx[31], indx[55]] = k[527]*y[:,3]
+ dfdy[indx[31], indx[56]] = k[545]*y[:,4]
+ dfdy[indx[31], indx[57]] = k[538]*y[:,3] + k[539]*y[:,10]
dfdy[indx[31], indx[58]] = 0
dfdy[indx[31], indx[59]] = 0
dfdy[indx[31], indx[60]] = 0
@@ -5305,15 +5671,19 @@ def symjac(y, M, k):
dfdy[indx[31], indx[62]] = 0
dfdy[indx[31], indx[63]] = 0
dfdy[indx[31], indx[64]] = 0
- dfdy[indx[32], indx[0]] = -M*k[685]*y[:,32] - k[227]*y[:,32] - k[260]*y[:,32] + k[364]*y[:,42] + k[410]*y[:,44] + k[453]*y[:,41] + k[465]*y[:,50]
- dfdy[indx[32], indx[1]] = k[294]*y[:,31] + k[298]*y[:,34] - k[450]*y[:,32] - k[466]*y[:,32]
- dfdy[indx[32], indx[2]] = -M*k[687]*y[:,32] + k[228]*y[:,28] + k[296]*y[:,34] + k[354]*y[:,38] + k[380]*y[:,36] - k[398]*y[:,32] + k[449]*y[:,41] - k[452]*y[:,32]
- dfdy[indx[32], indx[3]] = -k[310]*y[:,32] - k[454]*y[:,32]
- dfdy[indx[32], indx[4]] = -M*k[677]*y[:,32] + M*k[709]*y[:,28] + k[259]*y[:,29] + k[280]*y[:,34] + k[288]*y[:,30] + k[290]*y[:,31] + k[309]*y[:,33] + k[375]*y[:,38] - k[396]*y[:,32] + k[403]*y[:,43] + k[451]*y[:,41] + k[792]*y[:,28] - k[794]*y[:,32]
+ dfdy[indx[31], indx[65]] = 0
+ dfdy[indx[31], indx[66]] = 0
+ dfdy[indx[31], indx[67]] = 0
+ dfdy[indx[31], indx[68]] = 0
+ dfdy[indx[32], indx[0]] = -M*k[737]*y[:,32] + k[227]*y[:,28] + k[296]*y[:,34] + k[352]*y[:,37] + k[378]*y[:,41] - k[396]*y[:,32] + k[447]*y[:,40] - k[450]*y[:,32] + k[604]*y[:,43] - k[878]*y[:,32]
+ dfdy[indx[32], indx[1]] = -k[310]*y[:,32] - k[452]*y[:,32]
+ dfdy[indx[32], indx[2]] = k[294]*y[:,31] + k[298]*y[:,34] - k[448]*y[:,32] - k[464]*y[:,32]
+ dfdy[indx[32], indx[3]] = -M*k[735]*y[:,32] - k[228]*y[:,32] - k[260]*y[:,32] + k[362]*y[:,42] + k[408]*y[:,44] + k[451]*y[:,40] + k[463]*y[:,50]
+ dfdy[indx[32], indx[4]] = -M*k[727]*y[:,32] + M*k[773]*y[:,28] + k[259]*y[:,29] + k[280]*y[:,34] + k[288]*y[:,30] + k[290]*y[:,31] + k[309]*y[:,33] + k[373]*y[:,37] - k[394]*y[:,32] + k[401]*y[:,43] + k[449]*y[:,40] - k[650]*y[:,32] + k[854]*y[:,28] - k[856]*y[:,32]
dfdy[indx[32], indx[5]] = -k[289]*y[:,32] - k[291]*y[:,32]
dfdy[indx[32], indx[6]] = -k[287]*y[:,32]
- dfdy[indx[32], indx[7]] = -k[363]*y[:,32]
- dfdy[indx[32], indx[8]] = -k[293]*y[:,32] - k[379]*y[:,32] + k[415]*y[:,43]
+ dfdy[indx[32], indx[7]] = -k[361]*y[:,32]
+ dfdy[indx[32], indx[8]] = -k[293]*y[:,32] - k[377]*y[:,32] + k[413]*y[:,43]
dfdy[indx[32], indx[9]] = 0
dfdy[indx[32], indx[10]] = 0
dfdy[indx[32], indx[11]] = 0
@@ -5322,42 +5692,42 @@ def symjac(y, M, k):
dfdy[indx[32], indx[14]] = 0
dfdy[indx[32], indx[15]] = 0
dfdy[indx[32], indx[16]] = 0
- dfdy[indx[32], indx[17]] = -k[278]*y[:,32] + k[292]*y[:,29] + k[300]*y[:,34] + k[458]*y[:,41]
+ dfdy[indx[32], indx[17]] = -k[278]*y[:,32] + k[292]*y[:,29] + k[300]*y[:,34] + k[456]*y[:,40]
dfdy[indx[32], indx[18]] = k[277]*y[:,28]
dfdy[indx[32], indx[19]] = 0
- dfdy[indx[32], indx[20]] = k[456]*y[:,41]
- dfdy[indx[32], indx[21]] = -k[457]*y[:,32]
- dfdy[indx[32], indx[22]] = -k[416]*y[:,32] - k[455]*y[:,32]
+ dfdy[indx[32], indx[20]] = k[454]*y[:,40]
+ dfdy[indx[32], indx[21]] = -k[455]*y[:,32]
+ dfdy[indx[32], indx[22]] = -k[414]*y[:,32] - k[453]*y[:,32]
dfdy[indx[32], indx[23]] = 0
dfdy[indx[32], indx[24]] = 0
- dfdy[indx[32], indx[25]] = k[395]*y[:,28] + k[397]*y[:,29] - k[404]*y[:,32] - k[588]*y[:,32]
+ dfdy[indx[32], indx[25]] = k[393]*y[:,28] + k[395]*y[:,29] - k[402]*y[:,32] - k[630]*y[:,32] + k[649]*y[:,67]
dfdy[indx[32], indx[26]] = 0
dfdy[indx[32], indx[27]] = 0
- dfdy[indx[32], indx[28]] = M*k[709]*y[:,4] + k[228]*y[:,2] + k[277]*y[:,18] - k[279]*y[:,32] + k[395]*y[:,25] + k[792]*y[:,4]
- dfdy[indx[32], indx[29]] = k[259]*y[:,4] + k[292]*y[:,17] - k[295]*y[:,32] - k[376]*y[:,32] + k[397]*y[:,25] - k[409]*y[:,32]
+ dfdy[indx[32], indx[28]] = M*k[773]*y[:,4] + k[227]*y[:,0] + k[277]*y[:,18] - k[279]*y[:,32] + k[393]*y[:,25] + k[854]*y[:,4]
+ dfdy[indx[32], indx[29]] = k[259]*y[:,4] + k[292]*y[:,17] - k[295]*y[:,32] - k[374]*y[:,32] + k[395]*y[:,25] - k[407]*y[:,32]
dfdy[indx[32], indx[30]] = k[288]*y[:,4] - k[299]*y[:,32]
- dfdy[indx[32], indx[31]] = k[290]*y[:,4] + k[294]*y[:,1]
- dfdy[indx[32], indx[32]] = -M*k[677]*y[:,4] - M*k[685]*y[:,0] - M*k[687]*y[:,2] - M*k[710] - k[227]*y[:,0] - k[260]*y[:,0] - k[278]*y[:,17] - k[279]*y[:,28] - k[287]*y[:,6] - k[289]*y[:,5] - k[291]*y[:,5] - k[293]*y[:,8] - k[295]*y[:,29] - k[297]*y[:,33] - k[299]*y[:,30] - k[310]*y[:,3] - k[353]*y[:,33] - k[355]*y[:,38] - k[363]*y[:,7] - k[376]*y[:,29] - k[379]*y[:,8] - k[396]*y[:,4] - k[398]*y[:,2] - k[404]*y[:,25] - k[409]*y[:,29] - k[416]*y[:,22] - k[450]*y[:,1] - k[452]*y[:,2] - k[454]*y[:,3] - k[455]*y[:,22] - k[457]*y[:,21] - k[466]*y[:,1] - k[468]*y[:,35] - k[588]*y[:,25] - k[791] - k[794]*y[:,4]
- dfdy[indx[32], indx[33]] = -k[297]*y[:,32] + k[309]*y[:,4] - k[353]*y[:,32] + k[467]*y[:,41]
- dfdy[indx[32], indx[34]] = k[280]*y[:,4] + k[296]*y[:,2] + k[298]*y[:,1] + k[300]*y[:,17] + k[356]*y[:,41]
- dfdy[indx[32], indx[35]] = -k[468]*y[:,32]
- dfdy[indx[32], indx[36]] = k[380]*y[:,2]
- dfdy[indx[32], indx[37]] = 0
- dfdy[indx[32], indx[38]] = k[354]*y[:,2] - k[355]*y[:,32] + k[375]*y[:,4]
+ dfdy[indx[32], indx[31]] = k[290]*y[:,4] + k[294]*y[:,2]
+ dfdy[indx[32], indx[32]] = -M*k[727]*y[:,4] - M*k[735]*y[:,3] - M*k[737]*y[:,0] - M*k[774] - k[228]*y[:,3] - k[260]*y[:,3] - k[278]*y[:,17] - k[279]*y[:,28] - k[287]*y[:,6] - k[289]*y[:,5] - k[291]*y[:,5] - k[293]*y[:,8] - k[295]*y[:,29] - k[297]*y[:,33] - k[299]*y[:,30] - k[310]*y[:,1] - k[351]*y[:,33] - k[353]*y[:,37] - k[361]*y[:,7] - k[374]*y[:,29] - k[377]*y[:,8] - k[394]*y[:,4] - k[396]*y[:,0] - k[402]*y[:,25] - k[407]*y[:,29] - k[414]*y[:,22] - k[448]*y[:,2] - k[450]*y[:,0] - k[452]*y[:,1] - k[453]*y[:,22] - k[455]*y[:,21] - k[464]*y[:,2] - k[466]*y[:,35] - k[603]*y[:,52] - k[630]*y[:,25] - k[650]*y[:,4] - k[652]*y[:,34] - k[853] - k[856]*y[:,4] - k[878]*y[:,0]
+ dfdy[indx[32], indx[33]] = -k[297]*y[:,32] + k[309]*y[:,4] - k[351]*y[:,32] + k[465]*y[:,40]
+ dfdy[indx[32], indx[34]] = k[280]*y[:,4] + k[296]*y[:,0] + k[298]*y[:,2] + k[300]*y[:,17] + k[354]*y[:,40] - k[652]*y[:,32]
+ dfdy[indx[32], indx[35]] = -k[466]*y[:,32]
+ dfdy[indx[32], indx[36]] = 0
+ dfdy[indx[32], indx[37]] = k[352]*y[:,0] - k[353]*y[:,32] + k[373]*y[:,4]
+ dfdy[indx[32], indx[38]] = 0
dfdy[indx[32], indx[39]] = 0
- dfdy[indx[32], indx[40]] = 0
- dfdy[indx[32], indx[41]] = M*k[686] + k[356]*y[:,34] + k[449]*y[:,2] + k[451]*y[:,4] + k[453]*y[:,0] + k[456]*y[:,20] + k[458]*y[:,17] + k[467]*y[:,33]
- dfdy[indx[32], indx[42]] = k[364]*y[:,0]
- dfdy[indx[32], indx[43]] = M*k[678] + k[403]*y[:,4] + k[415]*y[:,8] + k[587]*y[:,60] + k[793]
- dfdy[indx[32], indx[44]] = k[410]*y[:,0]
+ dfdy[indx[32], indx[40]] = M*k[736] + k[354]*y[:,34] + k[447]*y[:,0] + k[449]*y[:,4] + k[451]*y[:,3] + k[454]*y[:,20] + k[456]*y[:,17] + k[465]*y[:,33]
+ dfdy[indx[32], indx[41]] = k[378]*y[:,0]
+ dfdy[indx[32], indx[42]] = k[362]*y[:,3]
+ dfdy[indx[32], indx[43]] = M*k[728] + k[401]*y[:,4] + k[413]*y[:,8] + k[604]*y[:,0] + k[629]*y[:,65] + k[855]
+ dfdy[indx[32], indx[44]] = k[408]*y[:,3] + k[651]*y[:,67]
dfdy[indx[32], indx[45]] = 0
dfdy[indx[32], indx[46]] = 0
dfdy[indx[32], indx[47]] = 0
dfdy[indx[32], indx[48]] = 0
dfdy[indx[32], indx[49]] = 0
- dfdy[indx[32], indx[50]] = M*k[688] + k[465]*y[:,0]
+ dfdy[indx[32], indx[50]] = M*k[738] + k[463]*y[:,3] + k[877]
dfdy[indx[32], indx[51]] = 0
- dfdy[indx[32], indx[52]] = 0
+ dfdy[indx[32], indx[52]] = -k[603]*y[:,32]
dfdy[indx[32], indx[53]] = 0
dfdy[indx[32], indx[54]] = 0
dfdy[indx[32], indx[55]] = 0
@@ -5365,63 +5735,67 @@ def symjac(y, M, k):
dfdy[indx[32], indx[57]] = 0
dfdy[indx[32], indx[58]] = 0
dfdy[indx[32], indx[59]] = 0
- dfdy[indx[32], indx[60]] = k[587]*y[:,43]
+ dfdy[indx[32], indx[60]] = 0
dfdy[indx[32], indx[61]] = 0
dfdy[indx[32], indx[62]] = 0
dfdy[indx[32], indx[63]] = 0
dfdy[indx[32], indx[64]] = 0
- dfdy[indx[33], indx[0]] = -M*k[661]*y[:,33] - k[231]*y[:,33] + k[306]*y[:,35] + k[326]*y[:,37] + k[365]*y[:,42] + k[436]*y[:,46] + 2*k[439]*y[:,39] + k[494]*y[:,41] - k[786]*y[:,33]
- dfdy[indx[33], indx[1]] = k[274]*y[:,29] + k[298]*y[:,34] - k[311]*y[:,33] + k[412]*y[:,44]
- dfdy[indx[33], indx[2]] = -k[262]*y[:,33] + k[269]*y[:,31] + k[271]*y[:,29] - k[273]*y[:,33] + k[312]*y[:,35] + k[354]*y[:,38] + k[402]*y[:,41] + k[427]*y[:,46] - k[584]*y[:,33]
- dfdy[indx[33], indx[3]] = M*k[665]*y[:,28] + k[232]*y[:,29] - k[305]*y[:,33] + k[310]*y[:,32] + 2*k[378]*y[:,37] + k[434]*y[:,47]
- dfdy[indx[33], indx[4]] = k[261]*y[:,35] - k[272]*y[:,33] - k[309]*y[:,33] - k[493]*y[:,33]
+ dfdy[indx[32], indx[65]] = k[629]*y[:,43]
+ dfdy[indx[32], indx[66]] = 0
+ dfdy[indx[32], indx[67]] = k[649]*y[:,25] + k[651]*y[:,44]
+ dfdy[indx[32], indx[68]] = 0
+ dfdy[indx[33], indx[0]] = -k[262]*y[:,33] + k[269]*y[:,31] + k[271]*y[:,29] - k[273]*y[:,33] + k[311]*y[:,35] + k[352]*y[:,37] + k[400]*y[:,40] + k[425]*y[:,46] - k[626]*y[:,33]
+ dfdy[indx[33], indx[1]] = M*k[715]*y[:,28] + k[232]*y[:,29] - k[305]*y[:,33] + k[310]*y[:,32] + 2*k[376]*y[:,36] + k[432]*y[:,47] + k[576]*y[:,38]
+ dfdy[indx[33], indx[2]] = k[274]*y[:,29] + k[298]*y[:,34] - k[312]*y[:,33] + k[410]*y[:,44]
+ dfdy[indx[33], indx[3]] = -M*k[711]*y[:,33] - k[231]*y[:,33] + k[306]*y[:,35] + k[324]*y[:,36] + k[363]*y[:,42] + k[434]*y[:,46] + 2*k[437]*y[:,38] + k[492]*y[:,40] - k[848]*y[:,33]
+ dfdy[indx[33], indx[4]] = k[261]*y[:,35] - k[272]*y[:,33] - k[309]*y[:,33] - k[491]*y[:,33]
dfdy[indx[33], indx[5]] = k[315]*y[:,35]
dfdy[indx[33], indx[6]] = 0
- dfdy[indx[33], indx[7]] = -k[316]*y[:,33] + k[374]*y[:,35]
- dfdy[indx[33], indx[8]] = -M*k[683]*y[:,33] - k[239]*y[:,33] + k[308]*y[:,35] - k[373]*y[:,33] + k[425]*y[:,46] - k[433]*y[:,33] - k[435]*y[:,33]
+ dfdy[indx[33], indx[7]] = -k[316]*y[:,33] + k[372]*y[:,35]
+ dfdy[indx[33], indx[8]] = -M*k[733]*y[:,33] - k[239]*y[:,33] + k[308]*y[:,35] - k[371]*y[:,33] + k[423]*y[:,46] - k[431]*y[:,33] - k[433]*y[:,33]
dfdy[indx[33], indx[9]] = k[240]*y[:,29] - k[307]*y[:,33]
dfdy[indx[33], indx[10]] = 0
dfdy[indx[33], indx[11]] = k[248]*y[:,29] + k[250]*y[:,35]
dfdy[indx[33], indx[12]] = -k[247]*y[:,33]
dfdy[indx[33], indx[13]] = -k[249]*y[:,33] + k[252]*y[:,35]
dfdy[indx[33], indx[14]] = -k[251]*y[:,33] + k[254]*y[:,35]
- dfdy[indx[33], indx[15]] = -k[253]*y[:,33] + k[256]*y[:,35] - k[426]*y[:,33]
+ dfdy[indx[33], indx[15]] = -k[253]*y[:,33] + k[256]*y[:,35] - k[424]*y[:,33]
dfdy[indx[33], indx[16]] = -k[255]*y[:,33]
- dfdy[indx[33], indx[17]] = -k[270]*y[:,33] - k[366]*y[:,33]
+ dfdy[indx[33], indx[17]] = -k[270]*y[:,33] - k[364]*y[:,33]
dfdy[indx[33], indx[18]] = 0
- dfdy[indx[33], indx[19]] = -k[428]*y[:,33]
+ dfdy[indx[33], indx[19]] = -k[426]*y[:,33]
dfdy[indx[33], indx[20]] = 0
dfdy[indx[33], indx[21]] = 0
dfdy[indx[33], indx[22]] = 0
dfdy[indx[33], indx[23]] = 0
dfdy[indx[33], indx[24]] = 0
- dfdy[indx[33], indx[25]] = -k[401]*y[:,33] + k[550]*y[:,35]
+ dfdy[indx[33], indx[25]] = -k[399]*y[:,33] + k[550]*y[:,35]
dfdy[indx[33], indx[26]] = 0
dfdy[indx[33], indx[27]] = 0
- dfdy[indx[33], indx[28]] = M*k[665]*y[:,3] + k[492]*y[:,35]
- dfdy[indx[33], indx[29]] = k[232]*y[:,3] + k[240]*y[:,9] + k[248]*y[:,11] + k[271]*y[:,2] + k[274]*y[:,1] + 2*k[314]*y[:,35] + k[319]*y[:,36] - k[325]*y[:,33] + k[359]*y[:,37] + k[472]*y[:,42] + k[487]*y[:,39] - k[491]*y[:,33] - k[604]*y[:,33]
+ dfdy[indx[33], indx[28]] = M*k[715]*y[:,1] + k[490]*y[:,35]
+ dfdy[indx[33], indx[29]] = k[232]*y[:,1] + k[240]*y[:,9] + k[248]*y[:,11] + k[271]*y[:,0] + k[274]*y[:,2] + 2*k[314]*y[:,35] - k[323]*y[:,33] + k[357]*y[:,36] + k[470]*y[:,42] + k[485]*y[:,38] - k[489]*y[:,33] - k[648]*y[:,33]
dfdy[indx[33], indx[30]] = k[317]*y[:,35]
- dfdy[indx[33], indx[31]] = k[269]*y[:,2] - k[318]*y[:,33] - k[320]*y[:,33] + k[490]*y[:,35]
- dfdy[indx[33], indx[32]] = -k[297]*y[:,33] + k[310]*y[:,3] - k[353]*y[:,33] + k[468]*y[:,35]
- dfdy[indx[33], indx[33]] = -M*k[661]*y[:,0] - M*k[666] - 4*M*k[675]*y[:,33] - M*k[683]*y[:,8] - k[231]*y[:,0] - k[239]*y[:,8] - k[247]*y[:,12] - k[249]*y[:,13] - k[251]*y[:,14] - k[253]*y[:,15] - k[255]*y[:,16] - k[262]*y[:,2] - k[270]*y[:,17] - k[272]*y[:,4] - k[273]*y[:,2] - k[297]*y[:,32] - k[305]*y[:,3] - k[307]*y[:,9] - k[309]*y[:,4] - k[311]*y[:,1] - 4*k[313]*y[:,33] - k[316]*y[:,7] - k[318]*y[:,31] - k[320]*y[:,31] - k[325]*y[:,29] - k[327]*y[:,37] - k[329]*y[:,39] - k[351]*y[:,38] - k[353]*y[:,32] - k[360]*y[:,38] - k[366]*y[:,17] - k[373]*y[:,8] - 4*k[377]*y[:,33] - k[401]*y[:,25] - k[411]*y[:,43] - k[417]*y[:,40] - k[423]*y[:,48] - k[426]*y[:,15] - k[428]*y[:,19] - k[433]*y[:,8] - k[435]*y[:,8] - 4*k[440]*y[:,33] - k[467]*y[:,41] - k[471]*y[:,51] - k[488]*y[:,37] - k[489]*y[:,36] - k[491]*y[:,29] - k[493]*y[:,4] - k[549]*y[:,52] - k[584]*y[:,2] - k[604]*y[:,29] - k[786]*y[:,0]
- dfdy[indx[33], indx[34]] = k[298]*y[:,1] + k[352]*y[:,35]
- dfdy[indx[33], indx[35]] = M*k[662] + k[250]*y[:,11] + k[252]*y[:,13] + k[254]*y[:,14] + k[256]*y[:,15] + k[261]*y[:,4] + k[306]*y[:,0] + k[308]*y[:,8] + k[312]*y[:,2] + 2*k[314]*y[:,29] + k[315]*y[:,5] + k[317]*y[:,30] + k[328]*y[:,38] + k[330]*y[:,37] + k[352]*y[:,34] + k[374]*y[:,7] + k[418]*y[:,39] + k[424]*y[:,46] + k[468]*y[:,32] + k[490]*y[:,31] + k[492]*y[:,28] + k[550]*y[:,25] + k[583]*y[:,60] + k[603]*y[:,62] + k[785]
- dfdy[indx[33], indx[36]] = k[319]*y[:,29] - k[489]*y[:,33]
- dfdy[indx[33], indx[37]] = k[326]*y[:,0] - k[327]*y[:,33] + k[330]*y[:,35] + k[359]*y[:,29] + 2*k[378]*y[:,3] - k[488]*y[:,33]
- dfdy[indx[33], indx[38]] = k[328]*y[:,35] - k[351]*y[:,33] + k[354]*y[:,2] - k[360]*y[:,33]
- dfdy[indx[33], indx[39]] = -k[329]*y[:,33] + k[418]*y[:,35] + 2*k[439]*y[:,0] + k[487]*y[:,29]
- dfdy[indx[33], indx[40]] = 2*M*k[676] - k[417]*y[:,33]
- dfdy[indx[33], indx[41]] = k[402]*y[:,2] - k[467]*y[:,33] + k[494]*y[:,0]
- dfdy[indx[33], indx[42]] = k[365]*y[:,0] + k[472]*y[:,29]
- dfdy[indx[33], indx[43]] = -k[411]*y[:,33]
- dfdy[indx[33], indx[44]] = k[412]*y[:,1]
+ dfdy[indx[33], indx[31]] = k[269]*y[:,0] - k[318]*y[:,33] + k[488]*y[:,35]
+ dfdy[indx[33], indx[32]] = -k[297]*y[:,33] + k[310]*y[:,1] - k[351]*y[:,33] + k[466]*y[:,35]
+ dfdy[indx[33], indx[33]] = -M*k[711]*y[:,3] - M*k[716] - 4*M*k[725]*y[:,33] - M*k[733]*y[:,8] - k[231]*y[:,3] - k[239]*y[:,8] - k[247]*y[:,12] - k[249]*y[:,13] - k[251]*y[:,14] - k[253]*y[:,15] - k[255]*y[:,16] - k[262]*y[:,0] - k[270]*y[:,17] - k[272]*y[:,4] - k[273]*y[:,0] - k[297]*y[:,32] - k[305]*y[:,1] - k[307]*y[:,9] - k[309]*y[:,4] - k[312]*y[:,2] - 4*k[313]*y[:,33] - k[316]*y[:,7] - k[318]*y[:,31] - k[323]*y[:,29] - k[325]*y[:,36] - k[327]*y[:,38] - k[349]*y[:,37] - k[351]*y[:,32] - k[358]*y[:,37] - k[364]*y[:,17] - k[371]*y[:,8] - 4*k[375]*y[:,33] - k[399]*y[:,25] - k[409]*y[:,43] - k[415]*y[:,39] - k[421]*y[:,48] - k[424]*y[:,15] - k[426]*y[:,19] - k[431]*y[:,8] - k[433]*y[:,8] - 4*k[438]*y[:,33] - k[465]*y[:,40] - k[469]*y[:,51] - k[486]*y[:,36] - k[487]*y[:,41] - k[489]*y[:,29] - k[491]*y[:,4] - k[549]*y[:,52] - k[575]*y[:,35] - k[626]*y[:,0] - k[648]*y[:,29] - k[848]*y[:,3]
+ dfdy[indx[33], indx[34]] = k[298]*y[:,2] + k[350]*y[:,35]
+ dfdy[indx[33], indx[35]] = M*k[712] + k[250]*y[:,11] + k[252]*y[:,13] + k[254]*y[:,14] + k[256]*y[:,15] + k[261]*y[:,4] + k[306]*y[:,3] + k[308]*y[:,8] + k[311]*y[:,0] + 2*k[314]*y[:,29] + k[315]*y[:,5] + k[317]*y[:,30] + k[326]*y[:,37] + k[328]*y[:,36] + k[350]*y[:,34] + k[372]*y[:,7] + k[416]*y[:,38] + k[422]*y[:,46] + k[466]*y[:,32] + k[488]*y[:,31] + k[490]*y[:,28] + k[550]*y[:,25] - k[575]*y[:,33] + k[625]*y[:,65] + k[647]*y[:,67] + k[847]
+ dfdy[indx[33], indx[36]] = k[324]*y[:,3] - k[325]*y[:,33] + k[328]*y[:,35] + k[357]*y[:,29] + 2*k[376]*y[:,1] - k[486]*y[:,33]
+ dfdy[indx[33], indx[37]] = k[326]*y[:,35] - k[349]*y[:,33] + k[352]*y[:,0] - k[358]*y[:,33]
+ dfdy[indx[33], indx[38]] = -k[327]*y[:,33] + k[416]*y[:,35] + 2*k[437]*y[:,3] + k[485]*y[:,29] + k[576]*y[:,1]
+ dfdy[indx[33], indx[39]] = 2*M*k[726] - k[415]*y[:,33]
+ dfdy[indx[33], indx[40]] = k[400]*y[:,0] - k[465]*y[:,33] + k[492]*y[:,3]
+ dfdy[indx[33], indx[41]] = -k[487]*y[:,33]
+ dfdy[indx[33], indx[42]] = k[363]*y[:,3] + k[470]*y[:,29]
+ dfdy[indx[33], indx[43]] = -k[409]*y[:,33]
+ dfdy[indx[33], indx[44]] = k[410]*y[:,2]
dfdy[indx[33], indx[45]] = 0
- dfdy[indx[33], indx[46]] = k[424]*y[:,35] + k[425]*y[:,8] + k[427]*y[:,2] + k[436]*y[:,0]
- dfdy[indx[33], indx[47]] = k[434]*y[:,3]
- dfdy[indx[33], indx[48]] = M*k[684] - k[423]*y[:,33]
+ dfdy[indx[33], indx[46]] = k[422]*y[:,35] + k[423]*y[:,8] + k[425]*y[:,0] + k[434]*y[:,3]
+ dfdy[indx[33], indx[47]] = k[432]*y[:,1]
+ dfdy[indx[33], indx[48]] = M*k[734] - k[421]*y[:,33]
dfdy[indx[33], indx[49]] = 0
dfdy[indx[33], indx[50]] = 0
- dfdy[indx[33], indx[51]] = -k[471]*y[:,33]
+ dfdy[indx[33], indx[51]] = -k[469]*y[:,33]
dfdy[indx[33], indx[52]] = -k[549]*y[:,33]
dfdy[indx[33], indx[53]] = 0
dfdy[indx[33], indx[54]] = 0
@@ -5430,16 +5804,20 @@ def symjac(y, M, k):
dfdy[indx[33], indx[57]] = 0
dfdy[indx[33], indx[58]] = 0
dfdy[indx[33], indx[59]] = 0
- dfdy[indx[33], indx[60]] = k[583]*y[:,35]
+ dfdy[indx[33], indx[60]] = 0
dfdy[indx[33], indx[61]] = 0
- dfdy[indx[33], indx[62]] = k[603]*y[:,35]
+ dfdy[indx[33], indx[62]] = 0
dfdy[indx[33], indx[63]] = 0
dfdy[indx[33], indx[64]] = 0
- dfdy[indx[34], indx[0]] = -M*k[682]*y[:,34] - k[282]*y[:,34] + k[345]*y[:,38] + k[407]*y[:,44]
- dfdy[indx[34], indx[1]] = -k[298]*y[:,34] - k[348]*y[:,34]
- dfdy[indx[34], indx[2]] = -k[296]*y[:,34] + k[347]*y[:,38] - k[350]*y[:,34] - k[408]*y[:,34]
- dfdy[indx[34], indx[3]] = -k[304]*y[:,34] - k[346]*y[:,34]
- dfdy[indx[34], indx[4]] = -M*k[680]*y[:,34] - k[280]*y[:,34] + k[349]*y[:,38] + k[405]*y[:,44]
+ dfdy[indx[33], indx[65]] = k[625]*y[:,35]
+ dfdy[indx[33], indx[66]] = 0
+ dfdy[indx[33], indx[67]] = k[647]*y[:,35]
+ dfdy[indx[33], indx[68]] = 0
+ dfdy[indx[34], indx[0]] = -k[296]*y[:,34] + k[345]*y[:,37] - k[348]*y[:,34] - k[406]*y[:,34]
+ dfdy[indx[34], indx[1]] = -k[304]*y[:,34] - k[344]*y[:,34]
+ dfdy[indx[34], indx[2]] = -k[298]*y[:,34] - k[346]*y[:,34]
+ dfdy[indx[34], indx[3]] = -M*k[732]*y[:,34] - k[282]*y[:,34] + k[343]*y[:,37] + k[405]*y[:,44]
+ dfdy[indx[34], indx[4]] = -M*k[730]*y[:,34] - k[280]*y[:,34] + k[347]*y[:,37] + k[403]*y[:,44]
dfdy[indx[34], indx[5]] = 0
dfdy[indx[34], indx[6]] = -k[284]*y[:,34]
dfdy[indx[34], indx[7]] = -k[285]*y[:,34]
@@ -5460,26 +5838,26 @@ def symjac(y, M, k):
dfdy[indx[34], indx[22]] = 0
dfdy[indx[34], indx[23]] = 0
dfdy[indx[34], indx[24]] = 0
- dfdy[indx[34], indx[25]] = -k[406]*y[:,34]
+ dfdy[indx[34], indx[25]] = -k[404]*y[:,34]
dfdy[indx[34], indx[26]] = 0
dfdy[indx[34], indx[27]] = 0
- dfdy[indx[34], indx[28]] = 2*M*k[667]*y[:,28] + k[279]*y[:,32] + k[281]*y[:,29] + k[283]*y[:,30] + 2*k[784]*y[:,28]
+ dfdy[indx[34], indx[28]] = 2*M*k[717]*y[:,28] + k[279]*y[:,32] + k[281]*y[:,29] + k[283]*y[:,30] + 2*k[846]*y[:,28]
dfdy[indx[34], indx[29]] = k[281]*y[:,28] + k[286]*y[:,31] + k[295]*y[:,32] + 2*k[303]*y[:,29]
dfdy[indx[34], indx[30]] = 2*k[246]*y[:,30] + k[283]*y[:,28] + k[299]*y[:,32]
dfdy[indx[34], indx[31]] = k[286]*y[:,29]
- dfdy[indx[34], indx[32]] = k[279]*y[:,28] + k[295]*y[:,29] + k[297]*y[:,33] + k[299]*y[:,30] + k[355]*y[:,38]
- dfdy[indx[34], indx[33]] = k[297]*y[:,32] + k[351]*y[:,38]
- dfdy[indx[34], indx[34]] = -M*k[668] - M*k[680]*y[:,4] - M*k[682]*y[:,0] - k[245]*y[:,10] - k[280]*y[:,4] - k[282]*y[:,0] - k[284]*y[:,6] - k[285]*y[:,7] - k[296]*y[:,2] - k[298]*y[:,1] - k[300]*y[:,17] - k[304]*y[:,3] - k[346]*y[:,3] - k[348]*y[:,1] - k[350]*y[:,2] - k[352]*y[:,35] - k[356]*y[:,41] - k[406]*y[:,25] - k[408]*y[:,2] - k[783]
- dfdy[indx[34], indx[35]] = -k[352]*y[:,34]
+ dfdy[indx[34], indx[32]] = k[279]*y[:,28] + k[295]*y[:,29] + k[297]*y[:,33] + k[299]*y[:,30] + k[353]*y[:,37] - k[652]*y[:,34]
+ dfdy[indx[34], indx[33]] = k[297]*y[:,32] + k[349]*y[:,37]
+ dfdy[indx[34], indx[34]] = -M*k[718] - M*k[730]*y[:,4] - M*k[732]*y[:,3] - k[245]*y[:,10] - k[280]*y[:,4] - k[282]*y[:,3] - k[284]*y[:,6] - k[285]*y[:,7] - k[296]*y[:,0] - k[298]*y[:,2] - k[300]*y[:,17] - k[304]*y[:,1] - k[344]*y[:,1] - k[346]*y[:,2] - k[348]*y[:,0] - k[350]*y[:,35] - k[354]*y[:,40] - k[404]*y[:,25] - k[406]*y[:,0] - k[652]*y[:,32] - k[845]
+ dfdy[indx[34], indx[35]] = -k[350]*y[:,34]
dfdy[indx[34], indx[36]] = 0
- dfdy[indx[34], indx[37]] = 0
- dfdy[indx[34], indx[38]] = M*k[681] + k[345]*y[:,0] + k[347]*y[:,2] + k[349]*y[:,4] + k[351]*y[:,33] + k[355]*y[:,32]
+ dfdy[indx[34], indx[37]] = M*k[731] + k[343]*y[:,3] + k[345]*y[:,0] + k[347]*y[:,4] + k[349]*y[:,33] + k[353]*y[:,32]
+ dfdy[indx[34], indx[38]] = 0
dfdy[indx[34], indx[39]] = 0
- dfdy[indx[34], indx[40]] = 0
- dfdy[indx[34], indx[41]] = -k[356]*y[:,34]
+ dfdy[indx[34], indx[40]] = -k[354]*y[:,34]
+ dfdy[indx[34], indx[41]] = 0
dfdy[indx[34], indx[42]] = 0
dfdy[indx[34], indx[43]] = 0
- dfdy[indx[34], indx[44]] = M*k[679] + k[405]*y[:,4] + k[407]*y[:,0]
+ dfdy[indx[34], indx[44]] = M*k[729] + k[403]*y[:,4] + k[405]*y[:,3] + k[651]*y[:,67]
dfdy[indx[34], indx[45]] = 0
dfdy[indx[34], indx[46]] = 0
dfdy[indx[34], indx[47]] = 0
@@ -5500,15 +5878,19 @@ def symjac(y, M, k):
dfdy[indx[34], indx[62]] = 0
dfdy[indx[34], indx[63]] = 0
dfdy[indx[34], indx[64]] = 0
- dfdy[indx[35], indx[0]] = M*k[661]*y[:,33] - k[306]*y[:,35] + k[786]*y[:,33] + 2*k[788]*y[:,0]*y[:,29]
- dfdy[indx[35], indx[1]] = k[311]*y[:,33]
- dfdy[indx[35], indx[2]] = k[262]*y[:,33] - k[312]*y[:,35] + k[584]*y[:,33]
- dfdy[indx[35], indx[3]] = k[305]*y[:,33] + k[552]*y[:,38]
+ dfdy[indx[34], indx[65]] = 0
+ dfdy[indx[34], indx[66]] = 0
+ dfdy[indx[34], indx[67]] = k[651]*y[:,44]
+ dfdy[indx[34], indx[68]] = 0
+ dfdy[indx[35], indx[0]] = k[262]*y[:,33] - k[311]*y[:,35] + k[626]*y[:,33]
+ dfdy[indx[35], indx[1]] = k[305]*y[:,33] + k[552]*y[:,37] + k[576]*y[:,38]
+ dfdy[indx[35], indx[2]] = k[312]*y[:,33]
+ dfdy[indx[35], indx[3]] = M*k[711]*y[:,33] - k[306]*y[:,35] + k[848]*y[:,33] + 2*k[850]*y[:,29]*y[:,3]
dfdy[indx[35], indx[4]] = -k[261]*y[:,35]
dfdy[indx[35], indx[5]] = -k[315]*y[:,35]
dfdy[indx[35], indx[6]] = 0
- dfdy[indx[35], indx[7]] = k[316]*y[:,33] - k[374]*y[:,35]
- dfdy[indx[35], indx[8]] = -k[308]*y[:,35] + k[373]*y[:,33]
+ dfdy[indx[35], indx[7]] = k[316]*y[:,33] - k[372]*y[:,35]
+ dfdy[indx[35], indx[8]] = -k[308]*y[:,35] + k[371]*y[:,33]
dfdy[indx[35], indx[9]] = k[307]*y[:,33]
dfdy[indx[35], indx[10]] = 0
dfdy[indx[35], indx[11]] = -k[250]*y[:,35]
@@ -5528,27 +5910,27 @@ def symjac(y, M, k):
dfdy[indx[35], indx[25]] = -k[550]*y[:,35]
dfdy[indx[35], indx[26]] = 0
dfdy[indx[35], indx[27]] = 0
- dfdy[indx[35], indx[28]] = -k[492]*y[:,35] - k[551]*y[:,35]
- dfdy[indx[35], indx[29]] = -k[314]*y[:,35] + k[491]*y[:,33] + k[604]*y[:,33] + k[788]*y[:,0]**2
+ dfdy[indx[35], indx[28]] = -k[490]*y[:,35] - k[551]*y[:,35]
+ dfdy[indx[35], indx[29]] = -k[314]*y[:,35] + k[489]*y[:,33] + k[648]*y[:,33] + k[850]*y[:,3]**2
dfdy[indx[35], indx[30]] = -k[317]*y[:,35]
- dfdy[indx[35], indx[31]] = k[318]*y[:,33] - k[490]*y[:,35]
- dfdy[indx[35], indx[32]] = -k[468]*y[:,35]
- dfdy[indx[35], indx[33]] = M*k[661]*y[:,0] + k[249]*y[:,13] + k[251]*y[:,14] + k[253]*y[:,15] + k[255]*y[:,16] + k[262]*y[:,2] + k[305]*y[:,3] + k[307]*y[:,9] + k[311]*y[:,1] + 2*k[313]*y[:,33] + k[316]*y[:,7] + k[318]*y[:,31] + k[327]*y[:,37] + k[329]*y[:,39] + k[351]*y[:,38] + k[373]*y[:,8] + k[417]*y[:,40] + k[423]*y[:,48] + k[467]*y[:,41] + k[489]*y[:,36] + k[491]*y[:,29] + k[549]*y[:,52] + k[584]*y[:,2] + k[604]*y[:,29] + k[786]*y[:,0]
- dfdy[indx[35], indx[34]] = -k[352]*y[:,35]
- dfdy[indx[35], indx[35]] = -M*k[662] - k[250]*y[:,11] - k[252]*y[:,13] - k[254]*y[:,14] - k[256]*y[:,15] - k[261]*y[:,4] - k[306]*y[:,0] - k[308]*y[:,8] - k[312]*y[:,2] - k[314]*y[:,29] - k[315]*y[:,5] - k[317]*y[:,30] - k[328]*y[:,38] - k[330]*y[:,37] - k[352]*y[:,34] - k[374]*y[:,7] - k[418]*y[:,39] - k[424]*y[:,46] - k[468]*y[:,32] - k[490]*y[:,31] - k[492]*y[:,28] - k[550]*y[:,25] - k[551]*y[:,28] - k[583]*y[:,60] - k[603]*y[:,62] - k[785] - k[787]
- dfdy[indx[35], indx[36]] = k[489]*y[:,33]
- dfdy[indx[35], indx[37]] = k[327]*y[:,33] - k[330]*y[:,35]
- dfdy[indx[35], indx[38]] = -k[328]*y[:,35] + k[351]*y[:,33] + k[552]*y[:,3]
- dfdy[indx[35], indx[39]] = k[329]*y[:,33] - k[418]*y[:,35]
- dfdy[indx[35], indx[40]] = k[417]*y[:,33]
- dfdy[indx[35], indx[41]] = k[467]*y[:,33]
+ dfdy[indx[35], indx[31]] = k[318]*y[:,33] - k[488]*y[:,35]
+ dfdy[indx[35], indx[32]] = -k[466]*y[:,35]
+ dfdy[indx[35], indx[33]] = M*k[711]*y[:,3] + k[249]*y[:,13] + k[251]*y[:,14] + k[253]*y[:,15] + k[255]*y[:,16] + k[262]*y[:,0] + k[305]*y[:,1] + k[307]*y[:,9] + k[312]*y[:,2] + 2*k[313]*y[:,33] + k[316]*y[:,7] + k[318]*y[:,31] + k[325]*y[:,36] + k[327]*y[:,38] + k[349]*y[:,37] + k[371]*y[:,8] + k[415]*y[:,39] + k[421]*y[:,48] + k[465]*y[:,40] + k[487]*y[:,41] + k[489]*y[:,29] + k[549]*y[:,52] - k[575]*y[:,35] + k[626]*y[:,0] + k[648]*y[:,29] + k[848]*y[:,3]
+ dfdy[indx[35], indx[34]] = -k[350]*y[:,35]
+ dfdy[indx[35], indx[35]] = -M*k[712] - k[250]*y[:,11] - k[252]*y[:,13] - k[254]*y[:,14] - k[256]*y[:,15] - k[261]*y[:,4] - k[306]*y[:,3] - k[308]*y[:,8] - k[311]*y[:,0] - k[314]*y[:,29] - k[315]*y[:,5] - k[317]*y[:,30] - k[326]*y[:,37] - k[328]*y[:,36] - k[350]*y[:,34] - k[372]*y[:,7] - k[416]*y[:,38] - k[422]*y[:,46] - k[466]*y[:,32] - k[488]*y[:,31] - k[490]*y[:,28] - k[550]*y[:,25] - k[551]*y[:,28] - k[575]*y[:,33] - k[625]*y[:,65] - k[647]*y[:,67] - k[847] - k[849]
+ dfdy[indx[35], indx[36]] = k[325]*y[:,33] - k[328]*y[:,35]
+ dfdy[indx[35], indx[37]] = -k[326]*y[:,35] + k[349]*y[:,33] + k[552]*y[:,1]
+ dfdy[indx[35], indx[38]] = k[327]*y[:,33] - k[416]*y[:,35] + k[576]*y[:,1]
+ dfdy[indx[35], indx[39]] = k[415]*y[:,33]
+ dfdy[indx[35], indx[40]] = k[465]*y[:,33]
+ dfdy[indx[35], indx[41]] = k[487]*y[:,33]
dfdy[indx[35], indx[42]] = 0
dfdy[indx[35], indx[43]] = 0
dfdy[indx[35], indx[44]] = 0
dfdy[indx[35], indx[45]] = 0
- dfdy[indx[35], indx[46]] = -k[424]*y[:,35]
+ dfdy[indx[35], indx[46]] = -k[422]*y[:,35]
dfdy[indx[35], indx[47]] = 0
- dfdy[indx[35], indx[48]] = k[423]*y[:,33]
+ dfdy[indx[35], indx[48]] = k[421]*y[:,33]
dfdy[indx[35], indx[49]] = 0
dfdy[indx[35], indx[50]] = 0
dfdy[indx[35], indx[51]] = 0
@@ -5560,21 +5942,25 @@ def symjac(y, M, k):
dfdy[indx[35], indx[57]] = 0
dfdy[indx[35], indx[58]] = 0
dfdy[indx[35], indx[59]] = 0
- dfdy[indx[35], indx[60]] = -k[583]*y[:,35]
+ dfdy[indx[35], indx[60]] = 0
dfdy[indx[35], indx[61]] = 0
- dfdy[indx[35], indx[62]] = -k[603]*y[:,35]
+ dfdy[indx[35], indx[62]] = 0
dfdy[indx[35], indx[63]] = 0
dfdy[indx[35], indx[64]] = 0
- dfdy[indx[36], indx[0]] = M*k[671]*y[:,31] - k[370]*y[:,36] + k[431]*y[:,47] - k[523]*y[:,36]
- dfdy[indx[36], indx[1]] = k[362]*y[:,31]
- dfdy[indx[36], indx[2]] = -k[361]*y[:,36] - k[380]*y[:,36]
- dfdy[indx[36], indx[3]] = -k[432]*y[:,36] + k[524]*y[:,31]
- dfdy[indx[36], indx[4]] = 0
+ dfdy[indx[35], indx[65]] = -k[625]*y[:,35]
+ dfdy[indx[35], indx[66]] = 0
+ dfdy[indx[35], indx[67]] = -k[647]*y[:,35]
+ dfdy[indx[35], indx[68]] = 0
+ dfdy[indx[36], indx[0]] = -k[333]*y[:,36] - k[338]*y[:,36] + k[339]*y[:,38] + k[356]*y[:,37]
+ dfdy[indx[36], indx[1]] = k[330]*y[:,37] - k[336]*y[:,36] - k[376]*y[:,36]
+ dfdy[indx[36], indx[2]] = k[334]*y[:,37] - k[340]*y[:,36]
+ dfdy[indx[36], indx[3]] = -M*k[720]*y[:,36] + M*k[754]*y[:,37] - k[324]*y[:,36] - k[329]*y[:,36] + k[335]*y[:,38]
+ dfdy[indx[36], indx[4]] = k[337]*y[:,38] - k[355]*y[:,36]
dfdy[indx[36], indx[5]] = 0
dfdy[indx[36], indx[6]] = 0
dfdy[indx[36], indx[7]] = 0
- dfdy[indx[36], indx[8]] = k[369]*y[:,28] + k[379]*y[:,32]
- dfdy[indx[36], indx[9]] = 0
+ dfdy[indx[36], indx[8]] = -k[331]*y[:,36] + k[579]*y[:,38]
+ dfdy[indx[36], indx[9]] = k[332]*y[:,37] - k[580]*y[:,36]
dfdy[indx[36], indx[10]] = 0
dfdy[indx[36], indx[11]] = 0
dfdy[indx[36], indx[12]] = 0
@@ -5593,18 +5979,18 @@ def symjac(y, M, k):
dfdy[indx[36], indx[25]] = 0
dfdy[indx[36], indx[26]] = 0
dfdy[indx[36], indx[27]] = 0
- dfdy[indx[36], indx[28]] = k[369]*y[:,8]
- dfdy[indx[36], indx[29]] = -k[319]*y[:,36]
+ dfdy[indx[36], indx[28]] = 0
+ dfdy[indx[36], indx[29]] = k[323]*y[:,33] - k[357]*y[:,36] + k[485]*y[:,38]
dfdy[indx[36], indx[30]] = 0
- dfdy[indx[36], indx[31]] = M*k[671]*y[:,0] + k[320]*y[:,33] + k[362]*y[:,1] + k[490]*y[:,35] + k[524]*y[:,3]
- dfdy[indx[36], indx[32]] = k[379]*y[:,8]
- dfdy[indx[36], indx[33]] = k[320]*y[:,31] - k[489]*y[:,36]
+ dfdy[indx[36], indx[31]] = 0
+ dfdy[indx[36], indx[32]] = 0
+ dfdy[indx[36], indx[33]] = k[323]*y[:,29] - k[325]*y[:,36] + k[327]*y[:,38] + k[358]*y[:,37] + 2*k[375]*y[:,33] - k[486]*y[:,36]
dfdy[indx[36], indx[34]] = 0
- dfdy[indx[36], indx[35]] = k[490]*y[:,31]
- dfdy[indx[36], indx[36]] = -M*k[672] - k[319]*y[:,29] - k[361]*y[:,2] - k[370]*y[:,0] - k[380]*y[:,2] - k[432]*y[:,3] - k[489]*y[:,33] - k[523]*y[:,0]
- dfdy[indx[36], indx[37]] = 0
- dfdy[indx[36], indx[38]] = 0
- dfdy[indx[36], indx[39]] = 0
+ dfdy[indx[36], indx[35]] = k[326]*y[:,37] - k[328]*y[:,36]
+ dfdy[indx[36], indx[36]] = -M*k[720]*y[:,3] - M*k[753] - k[324]*y[:,3] - k[325]*y[:,33] - k[328]*y[:,35] - k[329]*y[:,3] - k[331]*y[:,8] - k[333]*y[:,0] - k[336]*y[:,1] - k[338]*y[:,0] - k[340]*y[:,2] - k[342]*y[:,39] - k[355]*y[:,4] - k[357]*y[:,29] - k[376]*y[:,1] - k[486]*y[:,33] - 4*k[578]*y[:,36] - k[580]*y[:,9]
+ dfdy[indx[36], indx[37]] = M*k[754]*y[:,3] + k[326]*y[:,35] + k[330]*y[:,1] + k[332]*y[:,9] + k[334]*y[:,2] + k[356]*y[:,0] + k[358]*y[:,33] + 2*k[577]*y[:,38]
+ dfdy[indx[36], indx[38]] = M*k[719] + k[327]*y[:,33] + k[335]*y[:,3] + k[337]*y[:,4] + k[339]*y[:,0] + 2*k[341]*y[:,38] + k[485]*y[:,29] + 2*k[577]*y[:,37] + k[579]*y[:,8]
+ dfdy[indx[36], indx[39]] = -k[342]*y[:,36]
dfdy[indx[36], indx[40]] = 0
dfdy[indx[36], indx[41]] = 0
dfdy[indx[36], indx[42]] = 0
@@ -5612,7 +5998,7 @@ def symjac(y, M, k):
dfdy[indx[36], indx[44]] = 0
dfdy[indx[36], indx[45]] = 0
dfdy[indx[36], indx[46]] = 0
- dfdy[indx[36], indx[47]] = k[431]*y[:,0]
+ dfdy[indx[36], indx[47]] = 0
dfdy[indx[36], indx[48]] = 0
dfdy[indx[36], indx[49]] = 0
dfdy[indx[36], indx[50]] = 0
@@ -5630,16 +6016,20 @@ def symjac(y, M, k):
dfdy[indx[36], indx[62]] = 0
dfdy[indx[36], indx[63]] = 0
dfdy[indx[36], indx[64]] = 0
- dfdy[indx[37], indx[0]] = -M*k[670]*y[:,37] + M*k[712]*y[:,38] - k[326]*y[:,37] - k[331]*y[:,37] + k[337]*y[:,39]
- dfdy[indx[37], indx[1]] = k[336]*y[:,38] - k[342]*y[:,37]
- dfdy[indx[37], indx[2]] = -k[335]*y[:,37] - k[340]*y[:,37] + k[341]*y[:,39] + k[358]*y[:,38]
- dfdy[indx[37], indx[3]] = k[332]*y[:,38] - k[338]*y[:,37] - k[378]*y[:,37]
- dfdy[indx[37], indx[4]] = k[339]*y[:,39] - k[357]*y[:,37]
+ dfdy[indx[36], indx[65]] = 0
+ dfdy[indx[36], indx[66]] = 0
+ dfdy[indx[36], indx[67]] = 0
+ dfdy[indx[36], indx[68]] = 0
+ dfdy[indx[37], indx[0]] = k[333]*y[:,36] - k[345]*y[:,37] + k[348]*y[:,34] - k[352]*y[:,37] - k[356]*y[:,37]
+ dfdy[indx[37], indx[1]] = -k[330]*y[:,37] + k[344]*y[:,34] - k[552]*y[:,37]
+ dfdy[indx[37], indx[2]] = -k[334]*y[:,37] + k[346]*y[:,34]
+ dfdy[indx[37], indx[3]] = M*k[732]*y[:,34] - M*k[754]*y[:,37] + k[329]*y[:,36] - k[343]*y[:,37]
+ dfdy[indx[37], indx[4]] = -k[347]*y[:,37] + k[355]*y[:,36] - k[373]*y[:,37]
dfdy[indx[37], indx[5]] = 0
dfdy[indx[37], indx[6]] = 0
dfdy[indx[37], indx[7]] = 0
- dfdy[indx[37], indx[8]] = -k[333]*y[:,37]
- dfdy[indx[37], indx[9]] = k[334]*y[:,38]
+ dfdy[indx[37], indx[8]] = k[331]*y[:,36]
+ dfdy[indx[37], indx[9]] = -k[332]*y[:,37]
dfdy[indx[37], indx[10]] = 0
dfdy[indx[37], indx[11]] = 0
dfdy[indx[37], indx[12]] = 0
@@ -5658,19 +6048,19 @@ def symjac(y, M, k):
dfdy[indx[37], indx[25]] = 0
dfdy[indx[37], indx[26]] = 0
dfdy[indx[37], indx[27]] = 0
- dfdy[indx[37], indx[28]] = 0
- dfdy[indx[37], indx[29]] = k[325]*y[:,33] - k[359]*y[:,37] + k[487]*y[:,39]
+ dfdy[indx[37], indx[28]] = k[551]*y[:,35]
+ dfdy[indx[37], indx[29]] = k[357]*y[:,36] + k[374]*y[:,32]
dfdy[indx[37], indx[30]] = 0
dfdy[indx[37], indx[31]] = 0
- dfdy[indx[37], indx[32]] = 0
- dfdy[indx[37], indx[33]] = k[325]*y[:,29] - k[327]*y[:,37] + k[329]*y[:,39] + k[360]*y[:,38] + 2*k[377]*y[:,33] - k[488]*y[:,37]
- dfdy[indx[37], indx[34]] = 0
- dfdy[indx[37], indx[35]] = k[328]*y[:,38] - k[330]*y[:,37]
- dfdy[indx[37], indx[36]] = 0
- dfdy[indx[37], indx[37]] = -M*k[670]*y[:,0] - M*k[711] - k[326]*y[:,0] - k[327]*y[:,33] - k[330]*y[:,35] - k[331]*y[:,0] - k[333]*y[:,8] - k[335]*y[:,2] - k[338]*y[:,3] - k[340]*y[:,2] - k[342]*y[:,1] - k[344]*y[:,40] - k[357]*y[:,4] - k[359]*y[:,29] - k[378]*y[:,3] - k[488]*y[:,33]
- dfdy[indx[37], indx[38]] = M*k[712]*y[:,0] + k[328]*y[:,35] + k[332]*y[:,3] + k[334]*y[:,9] + k[336]*y[:,1] + k[358]*y[:,2] + k[360]*y[:,33]
- dfdy[indx[37], indx[39]] = M*k[669] + k[329]*y[:,33] + k[337]*y[:,0] + k[339]*y[:,4] + k[341]*y[:,2] + 2*k[343]*y[:,39] + k[487]*y[:,29]
- dfdy[indx[37], indx[40]] = -k[344]*y[:,37]
+ dfdy[indx[37], indx[32]] = k[351]*y[:,33] - k[353]*y[:,37] + k[374]*y[:,29]
+ dfdy[indx[37], indx[33]] = k[325]*y[:,36] - k[349]*y[:,37] + k[351]*y[:,32] - k[358]*y[:,37]
+ dfdy[indx[37], indx[34]] = M*k[732]*y[:,3] + k[344]*y[:,1] + k[346]*y[:,2] + k[348]*y[:,0] + k[350]*y[:,35] + k[354]*y[:,40]
+ dfdy[indx[37], indx[35]] = -k[326]*y[:,37] + k[350]*y[:,34] + k[551]*y[:,28]
+ dfdy[indx[37], indx[36]] = M*k[753] + k[325]*y[:,33] + k[329]*y[:,3] + k[331]*y[:,8] + k[333]*y[:,0] + k[355]*y[:,4] + k[357]*y[:,29] + 2*k[578]*y[:,36]
+ dfdy[indx[37], indx[37]] = -M*k[731] - M*k[754]*y[:,3] - k[326]*y[:,35] - k[330]*y[:,1] - k[332]*y[:,9] - k[334]*y[:,2] - k[343]*y[:,3] - k[345]*y[:,0] - k[347]*y[:,4] - k[349]*y[:,33] - k[352]*y[:,0] - k[353]*y[:,32] - k[356]*y[:,0] - k[358]*y[:,33] - k[373]*y[:,4] - k[552]*y[:,1] - k[577]*y[:,38]
+ dfdy[indx[37], indx[38]] = -k[577]*y[:,37]
+ dfdy[indx[37], indx[39]] = 0
+ dfdy[indx[37], indx[40]] = k[354]*y[:,34]
dfdy[indx[37], indx[41]] = 0
dfdy[indx[37], indx[42]] = 0
dfdy[indx[37], indx[43]] = 0
@@ -5695,16 +6085,20 @@ def symjac(y, M, k):
dfdy[indx[37], indx[62]] = 0
dfdy[indx[37], indx[63]] = 0
dfdy[indx[37], indx[64]] = 0
- dfdy[indx[38], indx[0]] = M*k[682]*y[:,34] - M*k[712]*y[:,38] + k[331]*y[:,37] - k[345]*y[:,38]
- dfdy[indx[38], indx[1]] = -k[336]*y[:,38] + k[348]*y[:,34]
- dfdy[indx[38], indx[2]] = k[335]*y[:,37] - k[347]*y[:,38] + k[350]*y[:,34] - k[354]*y[:,38] - k[358]*y[:,38]
- dfdy[indx[38], indx[3]] = -k[332]*y[:,38] + k[346]*y[:,34] - k[552]*y[:,38]
- dfdy[indx[38], indx[4]] = -k[349]*y[:,38] + k[357]*y[:,37] - k[375]*y[:,38]
+ dfdy[indx[37], indx[65]] = 0
+ dfdy[indx[37], indx[66]] = 0
+ dfdy[indx[37], indx[67]] = 0
+ dfdy[indx[37], indx[68]] = 0
+ dfdy[indx[38], indx[0]] = k[338]*y[:,36] - k[339]*y[:,38]
+ dfdy[indx[38], indx[1]] = k[336]*y[:,36] - k[380]*y[:,38] - k[576]*y[:,38]
+ dfdy[indx[38], indx[2]] = k[340]*y[:,36]
+ dfdy[indx[38], indx[3]] = M*k[720]*y[:,36] - k[335]*y[:,38] + k[379]*y[:,39] - k[437]*y[:,38] - k[858]*y[:,38]
+ dfdy[indx[38], indx[4]] = -k[337]*y[:,38]
dfdy[indx[38], indx[5]] = 0
dfdy[indx[38], indx[6]] = 0
dfdy[indx[38], indx[7]] = 0
- dfdy[indx[38], indx[8]] = k[333]*y[:,37]
- dfdy[indx[38], indx[9]] = -k[334]*y[:,38]
+ dfdy[indx[38], indx[8]] = -k[579]*y[:,38]
+ dfdy[indx[38], indx[9]] = k[580]*y[:,36]
dfdy[indx[38], indx[10]] = 0
dfdy[indx[38], indx[11]] = 0
dfdy[indx[38], indx[12]] = 0
@@ -5723,20 +6117,20 @@ def symjac(y, M, k):
dfdy[indx[38], indx[25]] = 0
dfdy[indx[38], indx[26]] = 0
dfdy[indx[38], indx[27]] = 0
- dfdy[indx[38], indx[28]] = k[551]*y[:,35]
- dfdy[indx[38], indx[29]] = k[359]*y[:,37] + k[376]*y[:,32]
+ dfdy[indx[38], indx[28]] = 0
+ dfdy[indx[38], indx[29]] = -k[485]*y[:,38]
dfdy[indx[38], indx[30]] = 0
dfdy[indx[38], indx[31]] = 0
- dfdy[indx[38], indx[32]] = k[353]*y[:,33] - k[355]*y[:,38] + k[376]*y[:,29]
- dfdy[indx[38], indx[33]] = k[327]*y[:,37] - k[351]*y[:,38] + k[353]*y[:,32] - k[360]*y[:,38]
- dfdy[indx[38], indx[34]] = M*k[682]*y[:,0] + k[346]*y[:,3] + k[348]*y[:,1] + k[350]*y[:,2] + k[352]*y[:,35] + k[356]*y[:,41]
- dfdy[indx[38], indx[35]] = -k[328]*y[:,38] + k[352]*y[:,34] + k[551]*y[:,28]
- dfdy[indx[38], indx[36]] = 0
- dfdy[indx[38], indx[37]] = M*k[711] + k[327]*y[:,33] + k[331]*y[:,0] + k[333]*y[:,8] + k[335]*y[:,2] + k[357]*y[:,4] + k[359]*y[:,29]
- dfdy[indx[38], indx[38]] = -M*k[681] - M*k[712]*y[:,0] - k[328]*y[:,35] - k[332]*y[:,3] - k[334]*y[:,9] - k[336]*y[:,1] - k[345]*y[:,0] - k[347]*y[:,2] - k[349]*y[:,4] - k[351]*y[:,33] - k[354]*y[:,2] - k[355]*y[:,32] - k[358]*y[:,2] - k[360]*y[:,33] - k[375]*y[:,4] - k[552]*y[:,3]
- dfdy[indx[38], indx[39]] = 0
+ dfdy[indx[38], indx[32]] = 0
+ dfdy[indx[38], indx[33]] = -k[327]*y[:,38] + k[415]*y[:,39] + 2*k[438]*y[:,33] + k[486]*y[:,36] + k[575]*y[:,35]
+ dfdy[indx[38], indx[34]] = 0
+ dfdy[indx[38], indx[35]] = k[328]*y[:,36] - k[416]*y[:,38] + k[575]*y[:,33]
+ dfdy[indx[38], indx[36]] = M*k[720]*y[:,3] + k[328]*y[:,35] + k[336]*y[:,1] + k[338]*y[:,0] + k[340]*y[:,2] + 2*k[342]*y[:,39] + k[486]*y[:,33] + 2*k[578]*y[:,36] + k[580]*y[:,9]
+ dfdy[indx[38], indx[37]] = -k[577]*y[:,38]
+ dfdy[indx[38], indx[38]] = -M*k[719] - k[327]*y[:,33] - k[335]*y[:,3] - k[337]*y[:,4] - k[339]*y[:,0] - 4*k[341]*y[:,38] - k[380]*y[:,1] - k[416]*y[:,35] - k[437]*y[:,3] - k[485]*y[:,29] - k[576]*y[:,1] - k[577]*y[:,37] - k[579]*y[:,8] - k[858]*y[:,3]
+ dfdy[indx[38], indx[39]] = 2*k[342]*y[:,36] + k[379]*y[:,3] + k[415]*y[:,33] + k[857]
dfdy[indx[38], indx[40]] = 0
- dfdy[indx[38], indx[41]] = k[356]*y[:,34]
+ dfdy[indx[38], indx[41]] = 0
dfdy[indx[38], indx[42]] = 0
dfdy[indx[38], indx[43]] = 0
dfdy[indx[38], indx[44]] = 0
@@ -5760,11 +6154,15 @@ def symjac(y, M, k):
dfdy[indx[38], indx[62]] = 0
dfdy[indx[38], indx[63]] = 0
dfdy[indx[38], indx[64]] = 0
- dfdy[indx[39], indx[0]] = M*k[670]*y[:,37] - k[337]*y[:,39] + k[381]*y[:,40] - k[439]*y[:,39] - k[796]*y[:,39]
- dfdy[indx[39], indx[1]] = k[342]*y[:,37]
- dfdy[indx[39], indx[2]] = k[340]*y[:,37] - k[341]*y[:,39]
- dfdy[indx[39], indx[3]] = k[338]*y[:,37] - k[382]*y[:,39]
- dfdy[indx[39], indx[4]] = -k[339]*y[:,39]
+ dfdy[indx[38], indx[65]] = 0
+ dfdy[indx[38], indx[66]] = 0
+ dfdy[indx[38], indx[67]] = 0
+ dfdy[indx[38], indx[68]] = 0
+ dfdy[indx[39], indx[0]] = 0
+ dfdy[indx[39], indx[1]] = k[380]*y[:,38]
+ dfdy[indx[39], indx[2]] = 0
+ dfdy[indx[39], indx[3]] = -k[379]*y[:,39] + k[858]*y[:,38]
+ dfdy[indx[39], indx[4]] = 0
dfdy[indx[39], indx[5]] = 0
dfdy[indx[39], indx[6]] = 0
dfdy[indx[39], indx[7]] = 0
@@ -5789,18 +6187,18 @@ def symjac(y, M, k):
dfdy[indx[39], indx[26]] = 0
dfdy[indx[39], indx[27]] = 0
dfdy[indx[39], indx[28]] = 0
- dfdy[indx[39], indx[29]] = -k[487]*y[:,39]
+ dfdy[indx[39], indx[29]] = 0
dfdy[indx[39], indx[30]] = 0
dfdy[indx[39], indx[31]] = 0
dfdy[indx[39], indx[32]] = 0
- dfdy[indx[39], indx[33]] = -k[329]*y[:,39] + k[417]*y[:,40] + 2*k[440]*y[:,33] + k[488]*y[:,37]
+ dfdy[indx[39], indx[33]] = 2*M*k[725]*y[:,33] - k[415]*y[:,39]
dfdy[indx[39], indx[34]] = 0
- dfdy[indx[39], indx[35]] = k[330]*y[:,37] - k[418]*y[:,39]
- dfdy[indx[39], indx[36]] = 0
- dfdy[indx[39], indx[37]] = M*k[670]*y[:,0] + k[330]*y[:,35] + k[338]*y[:,3] + k[340]*y[:,2] + k[342]*y[:,1] + 2*k[344]*y[:,40] + k[488]*y[:,33]
- dfdy[indx[39], indx[38]] = 0
- dfdy[indx[39], indx[39]] = -M*k[669] - k[329]*y[:,33] - k[337]*y[:,0] - k[339]*y[:,4] - k[341]*y[:,2] - 4*k[343]*y[:,39] - k[382]*y[:,3] - k[418]*y[:,35] - k[439]*y[:,0] - k[487]*y[:,29] - k[796]*y[:,0]
- dfdy[indx[39], indx[40]] = 2*k[344]*y[:,37] + k[381]*y[:,0] + k[417]*y[:,33] + k[795]
+ dfdy[indx[39], indx[35]] = k[416]*y[:,38]
+ dfdy[indx[39], indx[36]] = -k[342]*y[:,39]
+ dfdy[indx[39], indx[37]] = 0
+ dfdy[indx[39], indx[38]] = 2*k[341]*y[:,38] + k[380]*y[:,1] + k[416]*y[:,35] + k[858]*y[:,3]
+ dfdy[indx[39], indx[39]] = -M*k[726] - k[342]*y[:,36] - k[379]*y[:,3] - k[415]*y[:,33] - k[857]
+ dfdy[indx[39], indx[40]] = 0
dfdy[indx[39], indx[41]] = 0
dfdy[indx[39], indx[42]] = 0
dfdy[indx[39], indx[43]] = 0
@@ -5825,11 +6223,15 @@ def symjac(y, M, k):
dfdy[indx[39], indx[62]] = 0
dfdy[indx[39], indx[63]] = 0
dfdy[indx[39], indx[64]] = 0
- dfdy[indx[40], indx[0]] = -k[381]*y[:,40] + k[796]*y[:,39]
- dfdy[indx[40], indx[1]] = 0
- dfdy[indx[40], indx[2]] = 0
- dfdy[indx[40], indx[3]] = k[382]*y[:,39]
- dfdy[indx[40], indx[4]] = 0
+ dfdy[indx[39], indx[65]] = 0
+ dfdy[indx[39], indx[66]] = 0
+ dfdy[indx[39], indx[67]] = 0
+ dfdy[indx[39], indx[68]] = 0
+ dfdy[indx[40], indx[0]] = -k[400]*y[:,40] + k[445]*y[:,29] - k[447]*y[:,40] + k[450]*y[:,32] - k[460]*y[:,40]
+ dfdy[indx[40], indx[1]] = k[452]*y[:,32] - k[493]*y[:,40]
+ dfdy[indx[40], indx[2]] = 2*k[412]*y[:,44] + k[448]*y[:,32] + k[494]*y[:,29]
+ dfdy[indx[40], indx[3]] = M*k[735]*y[:,32] - k[446]*y[:,40] - k[451]*y[:,40] + k[459]*y[:,50] - k[492]*y[:,40]
+ dfdy[indx[40], indx[4]] = -k[398]*y[:,40] - k[449]*y[:,40] + k[491]*y[:,33]
dfdy[indx[40], indx[5]] = 0
dfdy[indx[40], indx[6]] = 0
dfdy[indx[40], indx[7]] = 0
@@ -5842,40 +6244,40 @@ def symjac(y, M, k):
dfdy[indx[40], indx[14]] = 0
dfdy[indx[40], indx[15]] = 0
dfdy[indx[40], indx[16]] = 0
- dfdy[indx[40], indx[17]] = 0
+ dfdy[indx[40], indx[17]] = -k[456]*y[:,40]
dfdy[indx[40], indx[18]] = 0
dfdy[indx[40], indx[19]] = 0
- dfdy[indx[40], indx[20]] = 0
- dfdy[indx[40], indx[21]] = 0
- dfdy[indx[40], indx[22]] = 0
+ dfdy[indx[40], indx[20]] = -k[454]*y[:,40]
+ dfdy[indx[40], indx[21]] = k[455]*y[:,32]
+ dfdy[indx[40], indx[22]] = k[453]*y[:,32]
dfdy[indx[40], indx[23]] = 0
dfdy[indx[40], indx[24]] = 0
- dfdy[indx[40], indx[25]] = 0
+ dfdy[indx[40], indx[25]] = k[397]*y[:,29] + k[399]*y[:,33]
dfdy[indx[40], indx[26]] = 0
dfdy[indx[40], indx[27]] = 0
dfdy[indx[40], indx[28]] = 0
- dfdy[indx[40], indx[29]] = 0
+ dfdy[indx[40], indx[29]] = k[397]*y[:,25] + k[445]*y[:,0] + k[494]*y[:,2]
dfdy[indx[40], indx[30]] = 0
dfdy[indx[40], indx[31]] = 0
- dfdy[indx[40], indx[32]] = 0
- dfdy[indx[40], indx[33]] = 2*M*k[675]*y[:,33] - k[417]*y[:,40]
- dfdy[indx[40], indx[34]] = 0
- dfdy[indx[40], indx[35]] = k[418]*y[:,39]
+ dfdy[indx[40], indx[32]] = M*k[735]*y[:,3] + k[353]*y[:,37] + k[448]*y[:,2] + k[450]*y[:,0] + k[452]*y[:,1] + k[453]*y[:,22] + k[455]*y[:,21] + k[466]*y[:,35]
+ dfdy[indx[40], indx[33]] = k[399]*y[:,25] - k[465]*y[:,40] + k[491]*y[:,4]
+ dfdy[indx[40], indx[34]] = -k[354]*y[:,40]
+ dfdy[indx[40], indx[35]] = k[466]*y[:,32]
dfdy[indx[40], indx[36]] = 0
- dfdy[indx[40], indx[37]] = -k[344]*y[:,40]
+ dfdy[indx[40], indx[37]] = k[353]*y[:,32]
dfdy[indx[40], indx[38]] = 0
- dfdy[indx[40], indx[39]] = 2*k[343]*y[:,39] + k[382]*y[:,3] + k[418]*y[:,35] + k[796]*y[:,0]
- dfdy[indx[40], indx[40]] = -M*k[676] - k[344]*y[:,37] - k[381]*y[:,0] - k[417]*y[:,33] - k[795]
+ dfdy[indx[40], indx[39]] = 0
+ dfdy[indx[40], indx[40]] = -M*k[736] - k[354]*y[:,34] - k[398]*y[:,4] - k[400]*y[:,0] - 4*k[411]*y[:,40] - k[446]*y[:,3] - k[447]*y[:,0] - k[449]*y[:,4] - k[451]*y[:,3] - k[454]*y[:,20] - k[456]*y[:,17] - k[460]*y[:,0] - k[465]*y[:,33] - k[492]*y[:,3] - k[493]*y[:,1]
dfdy[indx[40], indx[41]] = 0
dfdy[indx[40], indx[42]] = 0
dfdy[indx[40], indx[43]] = 0
- dfdy[indx[40], indx[44]] = 0
+ dfdy[indx[40], indx[44]] = 2*k[412]*y[:,2]
dfdy[indx[40], indx[45]] = 0
dfdy[indx[40], indx[46]] = 0
dfdy[indx[40], indx[47]] = 0
dfdy[indx[40], indx[48]] = 0
dfdy[indx[40], indx[49]] = 0
- dfdy[indx[40], indx[50]] = 0
+ dfdy[indx[40], indx[50]] = k[459]*y[:,3]
dfdy[indx[40], indx[51]] = 0
dfdy[indx[40], indx[52]] = 0
dfdy[indx[40], indx[53]] = 0
@@ -5890,15 +6292,19 @@ def symjac(y, M, k):
dfdy[indx[40], indx[62]] = 0
dfdy[indx[40], indx[63]] = 0
dfdy[indx[40], indx[64]] = 0
- dfdy[indx[41], indx[0]] = M*k[685]*y[:,32] - k[448]*y[:,41] - k[453]*y[:,41] + k[461]*y[:,50] - k[494]*y[:,41]
- dfdy[indx[41], indx[1]] = 2*k[414]*y[:,44] + k[450]*y[:,32] + k[496]*y[:,29]
- dfdy[indx[41], indx[2]] = -k[402]*y[:,41] + k[447]*y[:,29] - k[449]*y[:,41] + k[452]*y[:,32] - k[462]*y[:,41]
- dfdy[indx[41], indx[3]] = k[454]*y[:,32] - k[495]*y[:,41]
- dfdy[indx[41], indx[4]] = -k[400]*y[:,41] - k[451]*y[:,41] + k[493]*y[:,33]
+ dfdy[indx[40], indx[65]] = 0
+ dfdy[indx[40], indx[66]] = 0
+ dfdy[indx[40], indx[67]] = 0
+ dfdy[indx[40], indx[68]] = 0
+ dfdy[indx[41], indx[0]] = -k[359]*y[:,41] - k[378]*y[:,41]
+ dfdy[indx[41], indx[1]] = -k[430]*y[:,41] + k[522]*y[:,31]
+ dfdy[indx[41], indx[2]] = k[360]*y[:,31]
+ dfdy[indx[41], indx[3]] = M*k[721]*y[:,31] - k[368]*y[:,41] + k[429]*y[:,47] - k[521]*y[:,41]
+ dfdy[indx[41], indx[4]] = 0
dfdy[indx[41], indx[5]] = 0
dfdy[indx[41], indx[6]] = 0
dfdy[indx[41], indx[7]] = 0
- dfdy[indx[41], indx[8]] = 0
+ dfdy[indx[41], indx[8]] = k[367]*y[:,28] + k[377]*y[:,32]
dfdy[indx[41], indx[9]] = 0
dfdy[indx[41], indx[10]] = 0
dfdy[indx[41], indx[11]] = 0
@@ -5907,40 +6313,40 @@ def symjac(y, M, k):
dfdy[indx[41], indx[14]] = 0
dfdy[indx[41], indx[15]] = 0
dfdy[indx[41], indx[16]] = 0
- dfdy[indx[41], indx[17]] = -k[458]*y[:,41]
+ dfdy[indx[41], indx[17]] = 0
dfdy[indx[41], indx[18]] = 0
dfdy[indx[41], indx[19]] = 0
- dfdy[indx[41], indx[20]] = -k[456]*y[:,41]
- dfdy[indx[41], indx[21]] = k[457]*y[:,32]
- dfdy[indx[41], indx[22]] = k[455]*y[:,32]
+ dfdy[indx[41], indx[20]] = 0
+ dfdy[indx[41], indx[21]] = 0
+ dfdy[indx[41], indx[22]] = 0
dfdy[indx[41], indx[23]] = 0
dfdy[indx[41], indx[24]] = 0
- dfdy[indx[41], indx[25]] = k[399]*y[:,29] + k[401]*y[:,33]
+ dfdy[indx[41], indx[25]] = 0
dfdy[indx[41], indx[26]] = 0
dfdy[indx[41], indx[27]] = 0
- dfdy[indx[41], indx[28]] = 0
- dfdy[indx[41], indx[29]] = k[399]*y[:,25] + k[447]*y[:,2] + k[496]*y[:,1]
+ dfdy[indx[41], indx[28]] = k[367]*y[:,8]
+ dfdy[indx[41], indx[29]] = 0
dfdy[indx[41], indx[30]] = 0
- dfdy[indx[41], indx[31]] = 0
- dfdy[indx[41], indx[32]] = M*k[685]*y[:,0] + k[355]*y[:,38] + k[450]*y[:,1] + k[452]*y[:,2] + k[454]*y[:,3] + k[455]*y[:,22] + k[457]*y[:,21] + k[468]*y[:,35]
- dfdy[indx[41], indx[33]] = k[401]*y[:,25] - k[467]*y[:,41] + k[493]*y[:,4]
- dfdy[indx[41], indx[34]] = -k[356]*y[:,41]
- dfdy[indx[41], indx[35]] = k[468]*y[:,32]
+ dfdy[indx[41], indx[31]] = M*k[721]*y[:,3] + k[360]*y[:,2] + k[488]*y[:,35] + k[522]*y[:,1]
+ dfdy[indx[41], indx[32]] = k[377]*y[:,8]
+ dfdy[indx[41], indx[33]] = -k[487]*y[:,41]
+ dfdy[indx[41], indx[34]] = 0
+ dfdy[indx[41], indx[35]] = k[488]*y[:,31]
dfdy[indx[41], indx[36]] = 0
dfdy[indx[41], indx[37]] = 0
- dfdy[indx[41], indx[38]] = k[355]*y[:,32]
+ dfdy[indx[41], indx[38]] = 0
dfdy[indx[41], indx[39]] = 0
dfdy[indx[41], indx[40]] = 0
- dfdy[indx[41], indx[41]] = -M*k[686] - k[356]*y[:,34] - k[400]*y[:,4] - k[402]*y[:,2] - 4*k[413]*y[:,41] - k[448]*y[:,0] - k[449]*y[:,2] - k[451]*y[:,4] - k[453]*y[:,0] - k[456]*y[:,20] - k[458]*y[:,17] - k[462]*y[:,2] - k[467]*y[:,33] - k[494]*y[:,0] - k[495]*y[:,3]
+ dfdy[indx[41], indx[41]] = -M*k[722] - k[359]*y[:,0] - k[368]*y[:,3] - k[378]*y[:,0] - k[430]*y[:,1] - k[487]*y[:,33] - k[521]*y[:,3]
dfdy[indx[41], indx[42]] = 0
dfdy[indx[41], indx[43]] = 0
- dfdy[indx[41], indx[44]] = 2*k[414]*y[:,1]
+ dfdy[indx[41], indx[44]] = 0
dfdy[indx[41], indx[45]] = 0
dfdy[indx[41], indx[46]] = 0
- dfdy[indx[41], indx[47]] = 0
+ dfdy[indx[41], indx[47]] = k[429]*y[:,3]
dfdy[indx[41], indx[48]] = 0
dfdy[indx[41], indx[49]] = 0
- dfdy[indx[41], indx[50]] = k[461]*y[:,0]
+ dfdy[indx[41], indx[50]] = 0
dfdy[indx[41], indx[51]] = 0
dfdy[indx[41], indx[52]] = 0
dfdy[indx[41], indx[53]] = 0
@@ -5955,14 +6361,18 @@ def symjac(y, M, k):
dfdy[indx[41], indx[62]] = 0
dfdy[indx[41], indx[63]] = 0
dfdy[indx[41], indx[64]] = 0
- dfdy[indx[42], indx[0]] = -k[364]*y[:,42] - k[365]*y[:,42] - k[368]*y[:,42] - k[481]*y[:,42] + k[716]*y[:,51] + k[800]*y[:,51]
- dfdy[indx[42], indx[1]] = k[486]*y[:,51]
- dfdy[indx[42], indx[2]] = k[367]*y[:,31] + k[484]*y[:,51] - k[485]*y[:,42]
- dfdy[indx[42], indx[3]] = k[482]*y[:,51]
- dfdy[indx[42], indx[4]] = -k[483]*y[:,42]
+ dfdy[indx[41], indx[65]] = 0
+ dfdy[indx[41], indx[66]] = 0
+ dfdy[indx[41], indx[67]] = 0
+ dfdy[indx[41], indx[68]] = 0
+ dfdy[indx[42], indx[0]] = k[365]*y[:,31] + k[482]*y[:,51] - k[483]*y[:,42]
+ dfdy[indx[42], indx[1]] = k[480]*y[:,51]
+ dfdy[indx[42], indx[2]] = k[484]*y[:,51]
+ dfdy[indx[42], indx[3]] = -k[362]*y[:,42] - k[363]*y[:,42] - k[366]*y[:,42] - k[479]*y[:,42] + k[778]*y[:,51] + k[862]*y[:,51]
+ dfdy[indx[42], indx[4]] = -k[481]*y[:,42]
dfdy[indx[42], indx[5]] = 0
dfdy[indx[42], indx[6]] = 0
- dfdy[indx[42], indx[7]] = k[363]*y[:,32]
+ dfdy[indx[42], indx[7]] = k[361]*y[:,32]
dfdy[indx[42], indx[8]] = 0
dfdy[indx[42], indx[9]] = 0
dfdy[indx[42], indx[10]] = 0
@@ -5972,11 +6382,11 @@ def symjac(y, M, k):
dfdy[indx[42], indx[14]] = 0
dfdy[indx[42], indx[15]] = 0
dfdy[indx[42], indx[16]] = 0
- dfdy[indx[42], indx[17]] = M*k[674]*y[:,29] + k[366]*y[:,33] - k[474]*y[:,42] + k[798]*y[:,29]
+ dfdy[indx[42], indx[17]] = M*k[724]*y[:,29] + k[364]*y[:,33] - k[472]*y[:,42] + k[860]*y[:,29]
dfdy[indx[42], indx[18]] = 0
dfdy[indx[42], indx[19]] = 0
dfdy[indx[42], indx[20]] = 0
- dfdy[indx[42], indx[21]] = k[473]*y[:,51]
+ dfdy[indx[42], indx[21]] = k[471]*y[:,51]
dfdy[indx[42], indx[22]] = 0
dfdy[indx[42], indx[23]] = 0
dfdy[indx[42], indx[24]] = 0
@@ -5984,11 +6394,11 @@ def symjac(y, M, k):
dfdy[indx[42], indx[26]] = 0
dfdy[indx[42], indx[27]] = 0
dfdy[indx[42], indx[28]] = 0
- dfdy[indx[42], indx[29]] = M*k[674]*y[:,17] - k[472]*y[:,42] + k[798]*y[:,17]
- dfdy[indx[42], indx[30]] = -k[470]*y[:,42]
- dfdy[indx[42], indx[31]] = k[367]*y[:,2] + k[469]*y[:,51]
- dfdy[indx[42], indx[32]] = k[363]*y[:,7]
- dfdy[indx[42], indx[33]] = k[366]*y[:,17] + k[471]*y[:,51]
+ dfdy[indx[42], indx[29]] = M*k[724]*y[:,17] - k[470]*y[:,42] + k[860]*y[:,17]
+ dfdy[indx[42], indx[30]] = -k[468]*y[:,42]
+ dfdy[indx[42], indx[31]] = k[365]*y[:,0] + k[467]*y[:,51]
+ dfdy[indx[42], indx[32]] = k[361]*y[:,7]
+ dfdy[indx[42], indx[33]] = k[364]*y[:,17] + k[469]*y[:,51]
dfdy[indx[42], indx[34]] = 0
dfdy[indx[42], indx[35]] = 0
dfdy[indx[42], indx[36]] = 0
@@ -5997,7 +6407,7 @@ def symjac(y, M, k):
dfdy[indx[42], indx[39]] = 0
dfdy[indx[42], indx[40]] = 0
dfdy[indx[42], indx[41]] = 0
- dfdy[indx[42], indx[42]] = -M*k[673] - M*k[715] - k[364]*y[:,0] - k[365]*y[:,0] - k[368]*y[:,0] - k[470]*y[:,30] - k[472]*y[:,29] - k[474]*y[:,17] - k[481]*y[:,0] - k[483]*y[:,4] - k[485]*y[:,2] - k[797] - k[799]
+ dfdy[indx[42], indx[42]] = -M*k[723] - M*k[777] - k[362]*y[:,3] - k[363]*y[:,3] - k[366]*y[:,3] - k[468]*y[:,30] - k[470]*y[:,29] - k[472]*y[:,17] - k[479]*y[:,3] - k[481]*y[:,4] - k[483]*y[:,0] - k[859] - k[861]
dfdy[indx[42], indx[43]] = 0
dfdy[indx[42], indx[44]] = 0
dfdy[indx[42], indx[45]] = 0
@@ -6006,7 +6416,7 @@ def symjac(y, M, k):
dfdy[indx[42], indx[48]] = 0
dfdy[indx[42], indx[49]] = 0
dfdy[indx[42], indx[50]] = 0
- dfdy[indx[42], indx[51]] = k[469]*y[:,31] + k[471]*y[:,33] + k[473]*y[:,21] + k[482]*y[:,3] + k[484]*y[:,2] + k[486]*y[:,1] + k[716]*y[:,0] + k[800]*y[:,0]
+ dfdy[indx[42], indx[51]] = k[467]*y[:,31] + k[469]*y[:,33] + k[471]*y[:,21] + k[480]*y[:,1] + k[482]*y[:,0] + k[484]*y[:,2] + k[778]*y[:,3] + k[862]*y[:,3]
dfdy[indx[42], indx[52]] = 0
dfdy[indx[42], indx[53]] = 0
dfdy[indx[42], indx[54]] = 0
@@ -6020,15 +6430,19 @@ def symjac(y, M, k):
dfdy[indx[42], indx[62]] = 0
dfdy[indx[42], indx[63]] = 0
dfdy[indx[42], indx[64]] = 0
- dfdy[indx[43], indx[0]] = k[463]*y[:,50]
- dfdy[indx[43], indx[1]] = k[412]*y[:,44] - k[460]*y[:,43]
- dfdy[indx[43], indx[2]] = k[459]*y[:,50]
- dfdy[indx[43], indx[3]] = -k[464]*y[:,43]
- dfdy[indx[43], indx[4]] = M*k[677]*y[:,32] - k[403]*y[:,43] + k[794]*y[:,32]
+ dfdy[indx[42], indx[65]] = 0
+ dfdy[indx[42], indx[66]] = 0
+ dfdy[indx[42], indx[67]] = 0
+ dfdy[indx[42], indx[68]] = 0
+ dfdy[indx[43], indx[0]] = k[457]*y[:,50] - k[604]*y[:,43]
+ dfdy[indx[43], indx[1]] = -k[462]*y[:,43]
+ dfdy[indx[43], indx[2]] = k[410]*y[:,44] - k[458]*y[:,43]
+ dfdy[indx[43], indx[3]] = k[461]*y[:,50]
+ dfdy[indx[43], indx[4]] = M*k[727]*y[:,32] - k[401]*y[:,43] + k[608]*y[:,44] + k[856]*y[:,32]
dfdy[indx[43], indx[5]] = 0
dfdy[indx[43], indx[6]] = 0
dfdy[indx[43], indx[7]] = 0
- dfdy[indx[43], indx[8]] = -k[415]*y[:,43]
+ dfdy[indx[43], indx[8]] = -k[413]*y[:,43]
dfdy[indx[43], indx[9]] = 0
dfdy[indx[43], indx[10]] = 0
dfdy[indx[43], indx[11]] = 0
@@ -6042,18 +6456,18 @@ def symjac(y, M, k):
dfdy[indx[43], indx[19]] = 0
dfdy[indx[43], indx[20]] = 0
dfdy[indx[43], indx[21]] = 0
- dfdy[indx[43], indx[22]] = k[416]*y[:,32]
+ dfdy[indx[43], indx[22]] = k[414]*y[:,32]
dfdy[indx[43], indx[23]] = 0
dfdy[indx[43], indx[24]] = 0
- dfdy[indx[43], indx[25]] = k[404]*y[:,32] + k[588]*y[:,32]
+ dfdy[indx[43], indx[25]] = k[402]*y[:,32] + k[630]*y[:,32]
dfdy[indx[43], indx[26]] = 0
dfdy[indx[43], indx[27]] = 0
- dfdy[indx[43], indx[28]] = 0
+ dfdy[indx[43], indx[28]] = -k[607]*y[:,43]
dfdy[indx[43], indx[29]] = 0
dfdy[indx[43], indx[30]] = 0
dfdy[indx[43], indx[31]] = 0
- dfdy[indx[43], indx[32]] = M*k[677]*y[:,4] + k[404]*y[:,25] + k[416]*y[:,22] + k[588]*y[:,25] + k[794]*y[:,4]
- dfdy[indx[43], indx[33]] = -k[411]*y[:,43]
+ dfdy[indx[43], indx[32]] = M*k[727]*y[:,4] + k[402]*y[:,25] + k[414]*y[:,22] + k[603]*y[:,52] + k[630]*y[:,25] + k[856]*y[:,4]
+ dfdy[indx[43], indx[33]] = -k[409]*y[:,43]
dfdy[indx[43], indx[34]] = 0
dfdy[indx[43], indx[35]] = 0
dfdy[indx[43], indx[36]] = 0
@@ -6063,16 +6477,16 @@ def symjac(y, M, k):
dfdy[indx[43], indx[40]] = 0
dfdy[indx[43], indx[41]] = 0
dfdy[indx[43], indx[42]] = 0
- dfdy[indx[43], indx[43]] = -M*k[678] - k[403]*y[:,4] - k[411]*y[:,33] - k[415]*y[:,8] - k[460]*y[:,1] - k[464]*y[:,3] - k[587]*y[:,60] - k[793]
- dfdy[indx[43], indx[44]] = k[412]*y[:,1]
+ dfdy[indx[43], indx[43]] = -M*k[728] - k[401]*y[:,4] - k[409]*y[:,33] - k[413]*y[:,8] - k[458]*y[:,2] - k[462]*y[:,1] - k[604]*y[:,0] - k[607]*y[:,28] - k[629]*y[:,65] - k[855]
+ dfdy[indx[43], indx[44]] = k[410]*y[:,2] + k[608]*y[:,4]
dfdy[indx[43], indx[45]] = 0
dfdy[indx[43], indx[46]] = 0
dfdy[indx[43], indx[47]] = 0
dfdy[indx[43], indx[48]] = 0
dfdy[indx[43], indx[49]] = 0
- dfdy[indx[43], indx[50]] = k[459]*y[:,2] + k[463]*y[:,0]
+ dfdy[indx[43], indx[50]] = k[457]*y[:,0] + k[461]*y[:,3]
dfdy[indx[43], indx[51]] = 0
- dfdy[indx[43], indx[52]] = 0
+ dfdy[indx[43], indx[52]] = k[603]*y[:,32]
dfdy[indx[43], indx[53]] = 0
dfdy[indx[43], indx[54]] = 0
dfdy[indx[43], indx[55]] = 0
@@ -6080,16 +6494,20 @@ def symjac(y, M, k):
dfdy[indx[43], indx[57]] = 0
dfdy[indx[43], indx[58]] = 0
dfdy[indx[43], indx[59]] = 0
- dfdy[indx[43], indx[60]] = -k[587]*y[:,43]
+ dfdy[indx[43], indx[60]] = 0
dfdy[indx[43], indx[61]] = 0
dfdy[indx[43], indx[62]] = 0
dfdy[indx[43], indx[63]] = 0
dfdy[indx[43], indx[64]] = 0
- dfdy[indx[44], indx[0]] = -k[407]*y[:,44] - k[410]*y[:,44]
- dfdy[indx[44], indx[1]] = -k[412]*y[:,44] - k[414]*y[:,44]
- dfdy[indx[44], indx[2]] = k[408]*y[:,34]
- dfdy[indx[44], indx[3]] = 0
- dfdy[indx[44], indx[4]] = M*k[680]*y[:,34] - k[405]*y[:,44]
+ dfdy[indx[43], indx[65]] = -k[629]*y[:,43]
+ dfdy[indx[43], indx[66]] = 0
+ dfdy[indx[43], indx[67]] = 0
+ dfdy[indx[43], indx[68]] = 0
+ dfdy[indx[44], indx[0]] = k[406]*y[:,34]
+ dfdy[indx[44], indx[1]] = 0
+ dfdy[indx[44], indx[2]] = -k[410]*y[:,44] - k[412]*y[:,44]
+ dfdy[indx[44], indx[3]] = -k[405]*y[:,44] - k[408]*y[:,44]
+ dfdy[indx[44], indx[4]] = M*k[730]*y[:,34] - k[403]*y[:,44] - k[608]*y[:,44]
dfdy[indx[44], indx[5]] = 0
dfdy[indx[44], indx[6]] = 0
dfdy[indx[44], indx[7]] = 0
@@ -6110,26 +6528,26 @@ def symjac(y, M, k):
dfdy[indx[44], indx[22]] = 0
dfdy[indx[44], indx[23]] = 0
dfdy[indx[44], indx[24]] = 0
- dfdy[indx[44], indx[25]] = k[406]*y[:,34]
+ dfdy[indx[44], indx[25]] = k[404]*y[:,34]
dfdy[indx[44], indx[26]] = 0
dfdy[indx[44], indx[27]] = 0
- dfdy[indx[44], indx[28]] = 0
- dfdy[indx[44], indx[29]] = k[409]*y[:,32]
+ dfdy[indx[44], indx[28]] = k[607]*y[:,43]
+ dfdy[indx[44], indx[29]] = k[407]*y[:,32]
dfdy[indx[44], indx[30]] = 0
dfdy[indx[44], indx[31]] = 0
- dfdy[indx[44], indx[32]] = k[409]*y[:,29]
- dfdy[indx[44], indx[33]] = k[411]*y[:,43]
- dfdy[indx[44], indx[34]] = M*k[680]*y[:,4] + k[406]*y[:,25] + k[408]*y[:,2]
+ dfdy[indx[44], indx[32]] = k[407]*y[:,29] + k[652]*y[:,34]
+ dfdy[indx[44], indx[33]] = k[409]*y[:,43]
+ dfdy[indx[44], indx[34]] = M*k[730]*y[:,4] + k[404]*y[:,25] + k[406]*y[:,0] + k[652]*y[:,32]
dfdy[indx[44], indx[35]] = 0
dfdy[indx[44], indx[36]] = 0
dfdy[indx[44], indx[37]] = 0
dfdy[indx[44], indx[38]] = 0
dfdy[indx[44], indx[39]] = 0
- dfdy[indx[44], indx[40]] = 0
- dfdy[indx[44], indx[41]] = 2*k[413]*y[:,41]
+ dfdy[indx[44], indx[40]] = 2*k[411]*y[:,40]
+ dfdy[indx[44], indx[41]] = 0
dfdy[indx[44], indx[42]] = 0
- dfdy[indx[44], indx[43]] = k[411]*y[:,33]
- dfdy[indx[44], indx[44]] = -M*k[679] - k[405]*y[:,4] - k[407]*y[:,0] - k[410]*y[:,0] - k[412]*y[:,1] - k[414]*y[:,1]
+ dfdy[indx[44], indx[43]] = k[409]*y[:,33] + k[607]*y[:,28]
+ dfdy[indx[44], indx[44]] = -M*k[729] - k[403]*y[:,4] - k[405]*y[:,3] - k[408]*y[:,3] - k[410]*y[:,2] - k[412]*y[:,2] - k[608]*y[:,4] - k[651]*y[:,67]
dfdy[indx[44], indx[45]] = 0
dfdy[indx[44], indx[46]] = 0
dfdy[indx[44], indx[47]] = 0
@@ -6150,19 +6568,23 @@ def symjac(y, M, k):
dfdy[indx[44], indx[62]] = 0
dfdy[indx[44], indx[63]] = 0
dfdy[indx[44], indx[64]] = 0
- dfdy[indx[45], indx[0]] = -k[420]*y[:,45]
+ dfdy[indx[44], indx[65]] = 0
+ dfdy[indx[44], indx[66]] = 0
+ dfdy[indx[44], indx[67]] = -k[651]*y[:,44]
+ dfdy[indx[44], indx[68]] = 0
+ dfdy[indx[45], indx[0]] = 0
dfdy[indx[45], indx[1]] = 0
dfdy[indx[45], indx[2]] = 0
- dfdy[indx[45], indx[3]] = 0
+ dfdy[indx[45], indx[3]] = -M*k[761]*y[:,45] - k[418]*y[:,45]
dfdy[indx[45], indx[4]] = 0
dfdy[indx[45], indx[5]] = 0
dfdy[indx[45], indx[6]] = 0
dfdy[indx[45], indx[7]] = 0
dfdy[indx[45], indx[8]] = 0
dfdy[indx[45], indx[9]] = 0
- dfdy[indx[45], indx[10]] = k[541]*y[:,57] + k[812]*y[:,11]
- dfdy[indx[45], indx[11]] = k[419]*y[:,12] + k[812]*y[:,10]
- dfdy[indx[45], indx[12]] = k[419]*y[:,11]
+ dfdy[indx[45], indx[10]] = k[539]*y[:,57] + k[870]*y[:,11]
+ dfdy[indx[45], indx[11]] = k[417]*y[:,12] + k[870]*y[:,10]
+ dfdy[indx[45], indx[12]] = k[417]*y[:,11]
dfdy[indx[45], indx[13]] = 0
dfdy[indx[45], indx[14]] = 0
dfdy[indx[45], indx[15]] = 0
@@ -6181,7 +6603,7 @@ def symjac(y, M, k):
dfdy[indx[45], indx[28]] = 0
dfdy[indx[45], indx[29]] = 0
dfdy[indx[45], indx[30]] = 0
- dfdy[indx[45], indx[31]] = -k[542]*y[:,45]
+ dfdy[indx[45], indx[31]] = -k[540]*y[:,45]
dfdy[indx[45], indx[32]] = 0
dfdy[indx[45], indx[33]] = 0
dfdy[indx[45], indx[34]] = 0
@@ -6195,7 +6617,7 @@ def symjac(y, M, k):
dfdy[indx[45], indx[42]] = 0
dfdy[indx[45], indx[43]] = 0
dfdy[indx[45], indx[44]] = 0
- dfdy[indx[45], indx[45]] = -k[420]*y[:,0] - k[542]*y[:,31] - k[811]
+ dfdy[indx[45], indx[45]] = -M*k[761]*y[:,3] - k[418]*y[:,3] - k[540]*y[:,31] - k[869]
dfdy[indx[45], indx[46]] = 0
dfdy[indx[45], indx[47]] = 0
dfdy[indx[45], indx[48]] = 0
@@ -6207,34 +6629,38 @@ def symjac(y, M, k):
dfdy[indx[45], indx[54]] = 0
dfdy[indx[45], indx[55]] = 0
dfdy[indx[45], indx[56]] = 0
- dfdy[indx[45], indx[57]] = k[541]*y[:,10]
+ dfdy[indx[45], indx[57]] = k[539]*y[:,10]
dfdy[indx[45], indx[58]] = 0
dfdy[indx[45], indx[59]] = 0
dfdy[indx[45], indx[60]] = 0
- dfdy[indx[45], indx[61]] = 0
+ dfdy[indx[45], indx[61]] = M*k[762]
dfdy[indx[45], indx[62]] = 0
dfdy[indx[45], indx[63]] = 0
dfdy[indx[45], indx[64]] = 0
- dfdy[indx[46], indx[0]] = -k[421]*y[:,46] + k[429]*y[:,48] - k[436]*y[:,46]
- dfdy[indx[46], indx[1]] = 0
- dfdy[indx[46], indx[2]] = -k[427]*y[:,46]
- dfdy[indx[46], indx[3]] = k[422]*y[:,47] - k[430]*y[:,46]
+ dfdy[indx[45], indx[65]] = 0
+ dfdy[indx[45], indx[66]] = 0
+ dfdy[indx[45], indx[67]] = 0
+ dfdy[indx[45], indx[68]] = 0
+ dfdy[indx[46], indx[0]] = -k[425]*y[:,46]
+ dfdy[indx[46], indx[1]] = k[420]*y[:,47] - k[428]*y[:,46]
+ dfdy[indx[46], indx[2]] = 0
+ dfdy[indx[46], indx[3]] = -k[419]*y[:,46] + k[427]*y[:,48] - k[434]*y[:,46]
dfdy[indx[46], indx[4]] = 0
dfdy[indx[46], indx[5]] = 0
dfdy[indx[46], indx[6]] = 0
dfdy[indx[46], indx[7]] = 0
- dfdy[indx[46], indx[8]] = -k[425]*y[:,46] + k[435]*y[:,33] + k[437]*y[:,48]
- dfdy[indx[46], indx[9]] = -k[438]*y[:,46]
+ dfdy[indx[46], indx[8]] = -k[423]*y[:,46] + k[433]*y[:,33] + k[435]*y[:,48]
+ dfdy[indx[46], indx[9]] = -k[436]*y[:,46]
dfdy[indx[46], indx[10]] = 0
dfdy[indx[46], indx[11]] = 0
dfdy[indx[46], indx[12]] = 0
dfdy[indx[46], indx[13]] = 0
dfdy[indx[46], indx[14]] = 0
- dfdy[indx[46], indx[15]] = k[426]*y[:,33]
+ dfdy[indx[46], indx[15]] = k[424]*y[:,33]
dfdy[indx[46], indx[16]] = 0
dfdy[indx[46], indx[17]] = 0
dfdy[indx[46], indx[18]] = 0
- dfdy[indx[46], indx[19]] = k[428]*y[:,33]
+ dfdy[indx[46], indx[19]] = k[426]*y[:,33]
dfdy[indx[46], indx[20]] = 0
dfdy[indx[46], indx[21]] = 0
dfdy[indx[46], indx[22]] = 0
@@ -6248,9 +6674,9 @@ def symjac(y, M, k):
dfdy[indx[46], indx[30]] = 0
dfdy[indx[46], indx[31]] = 0
dfdy[indx[46], indx[32]] = 0
- dfdy[indx[46], indx[33]] = k[423]*y[:,48] + k[426]*y[:,15] + k[428]*y[:,19] + k[435]*y[:,8]
+ dfdy[indx[46], indx[33]] = k[421]*y[:,48] + k[424]*y[:,15] + k[426]*y[:,19] + k[433]*y[:,8]
dfdy[indx[46], indx[34]] = 0
- dfdy[indx[46], indx[35]] = -k[424]*y[:,46]
+ dfdy[indx[46], indx[35]] = -k[422]*y[:,46]
dfdy[indx[46], indx[36]] = 0
dfdy[indx[46], indx[37]] = 0
dfdy[indx[46], indx[38]] = 0
@@ -6261,9 +6687,9 @@ def symjac(y, M, k):
dfdy[indx[46], indx[43]] = 0
dfdy[indx[46], indx[44]] = 0
dfdy[indx[46], indx[45]] = 0
- dfdy[indx[46], indx[46]] = -k[421]*y[:,0] - k[424]*y[:,35] - k[425]*y[:,8] - k[427]*y[:,2] - k[430]*y[:,3] - k[436]*y[:,0] - k[438]*y[:,9]
- dfdy[indx[46], indx[47]] = k[422]*y[:,3]
- dfdy[indx[46], indx[48]] = k[423]*y[:,33] + k[429]*y[:,0] + k[437]*y[:,8]
+ dfdy[indx[46], indx[46]] = -k[419]*y[:,3] - k[422]*y[:,35] - k[423]*y[:,8] - k[425]*y[:,0] - k[428]*y[:,1] - k[434]*y[:,3] - k[436]*y[:,9]
+ dfdy[indx[46], indx[47]] = k[420]*y[:,1]
+ dfdy[indx[46], indx[48]] = k[421]*y[:,33] + k[427]*y[:,3] + k[435]*y[:,8]
dfdy[indx[46], indx[49]] = 0
dfdy[indx[46], indx[50]] = 0
dfdy[indx[46], indx[51]] = 0
@@ -6280,15 +6706,19 @@ def symjac(y, M, k):
dfdy[indx[46], indx[62]] = 0
dfdy[indx[46], indx[63]] = 0
dfdy[indx[46], indx[64]] = 0
- dfdy[indx[47], indx[0]] = k[421]*y[:,46] - k[431]*y[:,47]
- dfdy[indx[47], indx[1]] = 0
+ dfdy[indx[46], indx[65]] = 0
+ dfdy[indx[46], indx[66]] = 0
+ dfdy[indx[46], indx[67]] = 0
+ dfdy[indx[46], indx[68]] = 0
+ dfdy[indx[47], indx[0]] = 0
+ dfdy[indx[47], indx[1]] = -k[420]*y[:,47] + k[430]*y[:,41] - k[432]*y[:,47]
dfdy[indx[47], indx[2]] = 0
- dfdy[indx[47], indx[3]] = -k[422]*y[:,47] + k[432]*y[:,36] - k[434]*y[:,47]
+ dfdy[indx[47], indx[3]] = k[419]*y[:,46] - k[429]*y[:,47]
dfdy[indx[47], indx[4]] = 0
dfdy[indx[47], indx[5]] = 0
dfdy[indx[47], indx[6]] = 0
dfdy[indx[47], indx[7]] = 0
- dfdy[indx[47], indx[8]] = k[433]*y[:,33]
+ dfdy[indx[47], indx[8]] = k[431]*y[:,33]
dfdy[indx[47], indx[9]] = 0
dfdy[indx[47], indx[10]] = 0
dfdy[indx[47], indx[11]] = 0
@@ -6313,21 +6743,21 @@ def symjac(y, M, k):
dfdy[indx[47], indx[30]] = 0
dfdy[indx[47], indx[31]] = 0
dfdy[indx[47], indx[32]] = 0
- dfdy[indx[47], indx[33]] = k[433]*y[:,8]
+ dfdy[indx[47], indx[33]] = k[431]*y[:,8]
dfdy[indx[47], indx[34]] = 0
dfdy[indx[47], indx[35]] = 0
- dfdy[indx[47], indx[36]] = k[432]*y[:,3]
+ dfdy[indx[47], indx[36]] = 0
dfdy[indx[47], indx[37]] = 0
dfdy[indx[47], indx[38]] = 0
dfdy[indx[47], indx[39]] = 0
dfdy[indx[47], indx[40]] = 0
- dfdy[indx[47], indx[41]] = 0
+ dfdy[indx[47], indx[41]] = k[430]*y[:,1]
dfdy[indx[47], indx[42]] = 0
dfdy[indx[47], indx[43]] = 0
dfdy[indx[47], indx[44]] = 0
dfdy[indx[47], indx[45]] = 0
- dfdy[indx[47], indx[46]] = k[421]*y[:,0]
- dfdy[indx[47], indx[47]] = -k[422]*y[:,3] - k[431]*y[:,0] - k[434]*y[:,3]
+ dfdy[indx[47], indx[46]] = k[419]*y[:,3]
+ dfdy[indx[47], indx[47]] = -k[420]*y[:,1] - k[429]*y[:,3] - k[432]*y[:,1]
dfdy[indx[47], indx[48]] = 0
dfdy[indx[47], indx[49]] = 0
dfdy[indx[47], indx[50]] = 0
@@ -6345,16 +6775,20 @@ def symjac(y, M, k):
dfdy[indx[47], indx[62]] = 0
dfdy[indx[47], indx[63]] = 0
dfdy[indx[47], indx[64]] = 0
- dfdy[indx[48], indx[0]] = -k[429]*y[:,48]
- dfdy[indx[48], indx[1]] = 0
+ dfdy[indx[47], indx[65]] = 0
+ dfdy[indx[47], indx[66]] = 0
+ dfdy[indx[47], indx[67]] = 0
+ dfdy[indx[47], indx[68]] = 0
+ dfdy[indx[48], indx[0]] = 0
+ dfdy[indx[48], indx[1]] = k[428]*y[:,46]
dfdy[indx[48], indx[2]] = 0
- dfdy[indx[48], indx[3]] = k[430]*y[:,46]
+ dfdy[indx[48], indx[3]] = -k[427]*y[:,48]
dfdy[indx[48], indx[4]] = 0
dfdy[indx[48], indx[5]] = 0
dfdy[indx[48], indx[6]] = 0
dfdy[indx[48], indx[7]] = 0
- dfdy[indx[48], indx[8]] = M*k[683]*y[:,33] - k[437]*y[:,48]
- dfdy[indx[48], indx[9]] = k[438]*y[:,46]
+ dfdy[indx[48], indx[8]] = M*k[733]*y[:,33] - k[435]*y[:,48]
+ dfdy[indx[48], indx[9]] = k[436]*y[:,46]
dfdy[indx[48], indx[10]] = 0
dfdy[indx[48], indx[11]] = 0
dfdy[indx[48], indx[12]] = 0
@@ -6378,9 +6812,9 @@ def symjac(y, M, k):
dfdy[indx[48], indx[30]] = 0
dfdy[indx[48], indx[31]] = 0
dfdy[indx[48], indx[32]] = 0
- dfdy[indx[48], indx[33]] = M*k[683]*y[:,8] - k[423]*y[:,48]
+ dfdy[indx[48], indx[33]] = M*k[733]*y[:,8] - k[421]*y[:,48]
dfdy[indx[48], indx[34]] = 0
- dfdy[indx[48], indx[35]] = k[424]*y[:,46]
+ dfdy[indx[48], indx[35]] = k[422]*y[:,46]
dfdy[indx[48], indx[36]] = 0
dfdy[indx[48], indx[37]] = 0
dfdy[indx[48], indx[38]] = 0
@@ -6391,9 +6825,9 @@ def symjac(y, M, k):
dfdy[indx[48], indx[43]] = 0
dfdy[indx[48], indx[44]] = 0
dfdy[indx[48], indx[45]] = 0
- dfdy[indx[48], indx[46]] = k[424]*y[:,35] + k[430]*y[:,3] + k[438]*y[:,9]
+ dfdy[indx[48], indx[46]] = k[422]*y[:,35] + k[428]*y[:,1] + k[436]*y[:,9]
dfdy[indx[48], indx[47]] = 0
- dfdy[indx[48], indx[48]] = -M*k[684] - k[423]*y[:,33] - k[429]*y[:,0] - k[437]*y[:,8]
+ dfdy[indx[48], indx[48]] = -M*k[734] - k[421]*y[:,33] - k[427]*y[:,3] - k[435]*y[:,8]
dfdy[indx[48], indx[49]] = 0
dfdy[indx[48], indx[50]] = 0
dfdy[indx[48], indx[51]] = 0
@@ -6410,31 +6844,35 @@ def symjac(y, M, k):
dfdy[indx[48], indx[62]] = 0
dfdy[indx[48], indx[63]] = 0
dfdy[indx[48], indx[64]] = 0
- dfdy[indx[49], indx[0]] = -k[444]*y[:,49] - k[445]*y[:,49]
- dfdy[indx[49], indx[1]] = 0
+ dfdy[indx[48], indx[65]] = 0
+ dfdy[indx[48], indx[66]] = 0
+ dfdy[indx[48], indx[67]] = 0
+ dfdy[indx[48], indx[68]] = 0
+ dfdy[indx[49], indx[0]] = 0
+ dfdy[indx[49], indx[1]] = k[444]*y[:,24]
dfdy[indx[49], indx[2]] = 0
- dfdy[indx[49], indx[3]] = k[446]*y[:,24]
- dfdy[indx[49], indx[4]] = k[443]*y[:,15]
+ dfdy[indx[49], indx[3]] = -k[442]*y[:,49] - k[443]*y[:,49]
+ dfdy[indx[49], indx[4]] = k[441]*y[:,15]
dfdy[indx[49], indx[5]] = 0
dfdy[indx[49], indx[6]] = 0
dfdy[indx[49], indx[7]] = 0
- dfdy[indx[49], indx[8]] = k[782]*y[:,21]
- dfdy[indx[49], indx[9]] = k[780]*y[:,17]
+ dfdy[indx[49], indx[8]] = k[844]*y[:,21]
+ dfdy[indx[49], indx[9]] = k[842]*y[:,17]
dfdy[indx[49], indx[10]] = 0
dfdy[indx[49], indx[11]] = 0
dfdy[indx[49], indx[12]] = 0
dfdy[indx[49], indx[13]] = 0
dfdy[indx[49], indx[14]] = 0
- dfdy[indx[49], indx[15]] = k[443]*y[:,4]
+ dfdy[indx[49], indx[15]] = k[441]*y[:,4]
dfdy[indx[49], indx[16]] = 0
- dfdy[indx[49], indx[17]] = k[780]*y[:,9]
+ dfdy[indx[49], indx[17]] = k[842]*y[:,9]
dfdy[indx[49], indx[18]] = 0
dfdy[indx[49], indx[19]] = 0
dfdy[indx[49], indx[20]] = 0
- dfdy[indx[49], indx[21]] = k[782]*y[:,8]
+ dfdy[indx[49], indx[21]] = k[844]*y[:,8]
dfdy[indx[49], indx[22]] = 0
dfdy[indx[49], indx[23]] = 0
- dfdy[indx[49], indx[24]] = k[446]*y[:,3]
+ dfdy[indx[49], indx[24]] = k[444]*y[:,1]
dfdy[indx[49], indx[25]] = 0
dfdy[indx[49], indx[26]] = 0
dfdy[indx[49], indx[27]] = 0
@@ -6459,7 +6897,7 @@ def symjac(y, M, k):
dfdy[indx[49], indx[46]] = 0
dfdy[indx[49], indx[47]] = 0
dfdy[indx[49], indx[48]] = 0
- dfdy[indx[49], indx[49]] = -k[444]*y[:,0] - k[445]*y[:,0] - k[779] - k[781]
+ dfdy[indx[49], indx[49]] = -k[442]*y[:,3] - k[443]*y[:,3] - k[841] - k[843]
dfdy[indx[49], indx[50]] = 0
dfdy[indx[49], indx[51]] = 0
dfdy[indx[49], indx[52]] = 0
@@ -6475,10 +6913,14 @@ def symjac(y, M, k):
dfdy[indx[49], indx[62]] = 0
dfdy[indx[49], indx[63]] = 0
dfdy[indx[49], indx[64]] = 0
- dfdy[indx[50], indx[0]] = -k[461]*y[:,50] - k[463]*y[:,50] - k[465]*y[:,50]
- dfdy[indx[50], indx[1]] = k[460]*y[:,43] + k[466]*y[:,32]
- dfdy[indx[50], indx[2]] = M*k[687]*y[:,32] - k[459]*y[:,50] + k[462]*y[:,41]
- dfdy[indx[50], indx[3]] = k[464]*y[:,43]
+ dfdy[indx[49], indx[65]] = 0
+ dfdy[indx[49], indx[66]] = 0
+ dfdy[indx[49], indx[67]] = 0
+ dfdy[indx[49], indx[68]] = 0
+ dfdy[indx[50], indx[0]] = M*k[737]*y[:,32] - k[457]*y[:,50] + k[460]*y[:,40] + k[878]*y[:,32]
+ dfdy[indx[50], indx[1]] = k[462]*y[:,43]
+ dfdy[indx[50], indx[2]] = k[458]*y[:,43] + k[464]*y[:,32]
+ dfdy[indx[50], indx[3]] = -k[459]*y[:,50] - k[461]*y[:,50] - k[463]*y[:,50]
dfdy[indx[50], indx[4]] = 0
dfdy[indx[50], indx[5]] = 0
dfdy[indx[50], indx[6]] = 0
@@ -6507,7 +6949,7 @@ def symjac(y, M, k):
dfdy[indx[50], indx[29]] = 0
dfdy[indx[50], indx[30]] = 0
dfdy[indx[50], indx[31]] = 0
- dfdy[indx[50], indx[32]] = M*k[687]*y[:,2] + k[466]*y[:,1]
+ dfdy[indx[50], indx[32]] = M*k[737]*y[:,0] + k[464]*y[:,2] + k[878]*y[:,0]
dfdy[indx[50], indx[33]] = 0
dfdy[indx[50], indx[34]] = 0
dfdy[indx[50], indx[35]] = 0
@@ -6515,17 +6957,17 @@ def symjac(y, M, k):
dfdy[indx[50], indx[37]] = 0
dfdy[indx[50], indx[38]] = 0
dfdy[indx[50], indx[39]] = 0
- dfdy[indx[50], indx[40]] = 0
- dfdy[indx[50], indx[41]] = k[462]*y[:,2]
+ dfdy[indx[50], indx[40]] = k[460]*y[:,0]
+ dfdy[indx[50], indx[41]] = 0
dfdy[indx[50], indx[42]] = 0
- dfdy[indx[50], indx[43]] = k[460]*y[:,1] + k[464]*y[:,3]
+ dfdy[indx[50], indx[43]] = k[458]*y[:,2] + k[462]*y[:,1]
dfdy[indx[50], indx[44]] = 0
dfdy[indx[50], indx[45]] = 0
dfdy[indx[50], indx[46]] = 0
dfdy[indx[50], indx[47]] = 0
dfdy[indx[50], indx[48]] = 0
dfdy[indx[50], indx[49]] = 0
- dfdy[indx[50], indx[50]] = -M*k[688] - k[459]*y[:,2] - k[461]*y[:,0] - k[463]*y[:,0] - k[465]*y[:,0]
+ dfdy[indx[50], indx[50]] = -M*k[738] - k[457]*y[:,0] - k[459]*y[:,3] - k[461]*y[:,3] - k[463]*y[:,3] - k[877]
dfdy[indx[50], indx[51]] = 0
dfdy[indx[50], indx[52]] = 0
dfdy[indx[50], indx[53]] = 0
@@ -6540,11 +6982,15 @@ def symjac(y, M, k):
dfdy[indx[50], indx[62]] = 0
dfdy[indx[50], indx[63]] = 0
dfdy[indx[50], indx[64]] = 0
- dfdy[indx[51], indx[0]] = -k[478]*y[:,51] - k[480]*y[:,51] + k[481]*y[:,42] - k[716]*y[:,51] - k[800]*y[:,51]
- dfdy[indx[51], indx[1]] = -k[486]*y[:,51]
- dfdy[indx[51], indx[2]] = k[479]*y[:,30] - k[484]*y[:,51] + k[485]*y[:,42]
- dfdy[indx[51], indx[3]] = -k[482]*y[:,51]
- dfdy[indx[51], indx[4]] = k[477]*y[:,31] + k[483]*y[:,42]
+ dfdy[indx[50], indx[65]] = 0
+ dfdy[indx[50], indx[66]] = 0
+ dfdy[indx[50], indx[67]] = 0
+ dfdy[indx[50], indx[68]] = 0
+ dfdy[indx[51], indx[0]] = k[477]*y[:,30] - k[482]*y[:,51] + k[483]*y[:,42]
+ dfdy[indx[51], indx[1]] = -k[480]*y[:,51]
+ dfdy[indx[51], indx[2]] = -k[484]*y[:,51]
+ dfdy[indx[51], indx[3]] = -k[476]*y[:,51] - k[478]*y[:,51] + k[479]*y[:,42] - k[778]*y[:,51] - k[862]*y[:,51]
+ dfdy[indx[51], indx[4]] = k[475]*y[:,31] + k[481]*y[:,42]
dfdy[indx[51], indx[5]] = 0
dfdy[indx[51], indx[6]] = 0
dfdy[indx[51], indx[7]] = 0
@@ -6557,11 +7003,11 @@ def symjac(y, M, k):
dfdy[indx[51], indx[14]] = 0
dfdy[indx[51], indx[15]] = 0
dfdy[indx[51], indx[16]] = 0
- dfdy[indx[51], indx[17]] = k[474]*y[:,42] - k[476]*y[:,51]
- dfdy[indx[51], indx[18]] = k[475]*y[:,30]
+ dfdy[indx[51], indx[17]] = k[472]*y[:,42] - k[474]*y[:,51]
+ dfdy[indx[51], indx[18]] = k[473]*y[:,30]
dfdy[indx[51], indx[19]] = 0
dfdy[indx[51], indx[20]] = 0
- dfdy[indx[51], indx[21]] = -k[473]*y[:,51]
+ dfdy[indx[51], indx[21]] = -k[471]*y[:,51]
dfdy[indx[51], indx[22]] = 0
dfdy[indx[51], indx[23]] = 0
dfdy[indx[51], indx[24]] = 0
@@ -6569,11 +7015,11 @@ def symjac(y, M, k):
dfdy[indx[51], indx[26]] = 0
dfdy[indx[51], indx[27]] = 0
dfdy[indx[51], indx[28]] = 0
- dfdy[indx[51], indx[29]] = k[472]*y[:,42]
- dfdy[indx[51], indx[30]] = k[470]*y[:,42] + k[475]*y[:,18] + k[479]*y[:,2]
- dfdy[indx[51], indx[31]] = -k[469]*y[:,51] + k[477]*y[:,4]
+ dfdy[indx[51], indx[29]] = k[470]*y[:,42]
+ dfdy[indx[51], indx[30]] = k[468]*y[:,42] + k[473]*y[:,18] + k[477]*y[:,0]
+ dfdy[indx[51], indx[31]] = -k[467]*y[:,51] + k[475]*y[:,4]
dfdy[indx[51], indx[32]] = 0
- dfdy[indx[51], indx[33]] = -k[471]*y[:,51]
+ dfdy[indx[51], indx[33]] = -k[469]*y[:,51]
dfdy[indx[51], indx[34]] = 0
dfdy[indx[51], indx[35]] = 0
dfdy[indx[51], indx[36]] = 0
@@ -6582,7 +7028,7 @@ def symjac(y, M, k):
dfdy[indx[51], indx[39]] = 0
dfdy[indx[51], indx[40]] = 0
dfdy[indx[51], indx[41]] = 0
- dfdy[indx[51], indx[42]] = M*k[715] + k[470]*y[:,30] + k[472]*y[:,29] + k[474]*y[:,17] + k[481]*y[:,0] + k[483]*y[:,4] + k[485]*y[:,2] + k[799]
+ dfdy[indx[51], indx[42]] = M*k[777] + k[468]*y[:,30] + k[470]*y[:,29] + k[472]*y[:,17] + k[479]*y[:,3] + k[481]*y[:,4] + k[483]*y[:,0] + k[861]
dfdy[indx[51], indx[43]] = 0
dfdy[indx[51], indx[44]] = 0
dfdy[indx[51], indx[45]] = 0
@@ -6591,7 +7037,7 @@ def symjac(y, M, k):
dfdy[indx[51], indx[48]] = 0
dfdy[indx[51], indx[49]] = 0
dfdy[indx[51], indx[50]] = 0
- dfdy[indx[51], indx[51]] = -k[469]*y[:,31] - k[471]*y[:,33] - k[473]*y[:,21] - k[476]*y[:,17] - k[478]*y[:,0] - k[480]*y[:,0] - k[482]*y[:,3] - k[484]*y[:,2] - k[486]*y[:,1] - k[716]*y[:,0] - k[800]*y[:,0]
+ dfdy[indx[51], indx[51]] = -k[467]*y[:,31] - k[469]*y[:,33] - k[471]*y[:,21] - k[474]*y[:,17] - k[476]*y[:,3] - k[478]*y[:,3] - k[480]*y[:,1] - k[482]*y[:,0] - k[484]*y[:,2] - k[778]*y[:,3] - k[862]*y[:,3]
dfdy[indx[51], indx[52]] = 0
dfdy[indx[51], indx[53]] = 0
dfdy[indx[51], indx[54]] = 0
@@ -6605,39 +7051,43 @@ def symjac(y, M, k):
dfdy[indx[51], indx[62]] = 0
dfdy[indx[51], indx[63]] = 0
dfdy[indx[51], indx[64]] = 0
- dfdy[indx[52], indx[0]] = M*k[695]*y[:,25] - k[497]*y[:,52] - k[499]*y[:,52] - k[501]*y[:,52] + k[509]*y[:,53]
- dfdy[indx[52], indx[1]] = k[500]*y[:,4] - k[508]*y[:,52] + k[522]*y[:,25]
- dfdy[indx[52], indx[2]] = 2*k[498]*y[:,2] + k[504]*y[:,18] - k[506]*y[:,52] + k[507]*y[:,53] + k[514]*y[:,25] - k[521]*y[:,52] + k[802]*y[:,4]
- dfdy[indx[52], indx[3]] = k[502]*y[:,25] - k[510]*y[:,52]
- dfdy[indx[52], indx[4]] = k[500]*y[:,1] + k[505]*y[:,53] - k[513]*y[:,52] + k[802]*y[:,2]
+ dfdy[indx[51], indx[65]] = 0
+ dfdy[indx[51], indx[66]] = 0
+ dfdy[indx[51], indx[67]] = 0
+ dfdy[indx[51], indx[68]] = 0
+ dfdy[indx[52], indx[0]] = 2*k[496]*y[:,0] + k[502]*y[:,18] - k[504]*y[:,52] + k[505]*y[:,53] + k[512]*y[:,25] - k[519]*y[:,52] + k[604]*y[:,43] + k[864]*y[:,4]
+ dfdy[indx[52], indx[1]] = k[500]*y[:,25] - k[508]*y[:,52]
+ dfdy[indx[52], indx[2]] = k[498]*y[:,4] - k[506]*y[:,52] + k[520]*y[:,25]
+ dfdy[indx[52], indx[3]] = M*k[745]*y[:,25] - k[495]*y[:,52] - k[497]*y[:,52] - k[499]*y[:,52] + k[507]*y[:,53]
+ dfdy[indx[52], indx[4]] = k[498]*y[:,2] + k[503]*y[:,53] - k[511]*y[:,52] + k[864]*y[:,0]
dfdy[indx[52], indx[5]] = 0
dfdy[indx[52], indx[6]] = 0
dfdy[indx[52], indx[7]] = 0
- dfdy[indx[52], indx[8]] = -k[516]*y[:,52] + k[548]*y[:,53]
- dfdy[indx[52], indx[9]] = k[515]*y[:,25] - k[547]*y[:,52]
+ dfdy[indx[52], indx[8]] = -k[513]*y[:,52] + k[548]*y[:,53]
+ dfdy[indx[52], indx[9]] = k[514]*y[:,25] - k[547]*y[:,52]
dfdy[indx[52], indx[10]] = 0
dfdy[indx[52], indx[11]] = 0
dfdy[indx[52], indx[12]] = 0
dfdy[indx[52], indx[13]] = 0
dfdy[indx[52], indx[14]] = 0
- dfdy[indx[52], indx[15]] = -k[518]*y[:,52]
- dfdy[indx[52], indx[16]] = k[517]*y[:,25]
- dfdy[indx[52], indx[17]] = -k[503]*y[:,52] - k[520]*y[:,52]
- dfdy[indx[52], indx[18]] = k[504]*y[:,2]
+ dfdy[indx[52], indx[15]] = -k[515]*y[:,52]
+ dfdy[indx[52], indx[16]] = k[516]*y[:,25]
+ dfdy[indx[52], indx[17]] = -k[501]*y[:,52] - k[518]*y[:,52]
+ dfdy[indx[52], indx[18]] = k[502]*y[:,0]
dfdy[indx[52], indx[19]] = 0
- dfdy[indx[52], indx[20]] = 0
- dfdy[indx[52], indx[21]] = k[519]*y[:,25]
- dfdy[indx[52], indx[22]] = 0
+ dfdy[indx[52], indx[20]] = k[605]*y[:,25] - k[610]*y[:,52]
+ dfdy[indx[52], indx[21]] = k[517]*y[:,25] - k[606]*y[:,52]
+ dfdy[indx[52], indx[22]] = k[609]*y[:,25]
dfdy[indx[52], indx[23]] = 0
dfdy[indx[52], indx[24]] = 0
- dfdy[indx[52], indx[25]] = 2*M*k[692]*y[:,53] + M*k[695]*y[:,0] + k[502]*y[:,3] + k[514]*y[:,2] + k[515]*y[:,9] + k[517]*y[:,16] + k[519]*y[:,21] + k[522]*y[:,1] + k[550]*y[:,35]
+ dfdy[indx[52], indx[25]] = 2*M*k[742]*y[:,53] + M*k[745]*y[:,3] + k[500]*y[:,1] + k[512]*y[:,0] + k[514]*y[:,9] + k[516]*y[:,16] + k[517]*y[:,21] + k[520]*y[:,2] + k[550]*y[:,35] + k[605]*y[:,20] + k[609]*y[:,22] + 2*k[614]*y[:,53]
dfdy[indx[52], indx[26]] = 0
dfdy[indx[52], indx[27]] = 0
dfdy[indx[52], indx[28]] = 0
dfdy[indx[52], indx[29]] = 0
dfdy[indx[52], indx[30]] = 0
dfdy[indx[52], indx[31]] = 0
- dfdy[indx[52], indx[32]] = 0
+ dfdy[indx[52], indx[32]] = -k[603]*y[:,52]
dfdy[indx[52], indx[33]] = -k[549]*y[:,52]
dfdy[indx[52], indx[34]] = 0
dfdy[indx[52], indx[35]] = k[550]*y[:,25]
@@ -6648,7 +7098,7 @@ def symjac(y, M, k):
dfdy[indx[52], indx[40]] = 0
dfdy[indx[52], indx[41]] = 0
dfdy[indx[52], indx[42]] = 0
- dfdy[indx[52], indx[43]] = 0
+ dfdy[indx[52], indx[43]] = k[604]*y[:,0]
dfdy[indx[52], indx[44]] = 0
dfdy[indx[52], indx[45]] = 0
dfdy[indx[52], indx[46]] = 0
@@ -6657,8 +7107,8 @@ def symjac(y, M, k):
dfdy[indx[52], indx[49]] = 0
dfdy[indx[52], indx[50]] = 0
dfdy[indx[52], indx[51]] = 0
- dfdy[indx[52], indx[52]] = -4*M*k[691]*y[:,52] - M*k[696] - k[497]*y[:,0] - k[499]*y[:,0] - k[501]*y[:,0] - k[503]*y[:,17] - k[506]*y[:,2] - k[508]*y[:,1] - k[510]*y[:,3] - k[513]*y[:,4] - k[516]*y[:,8] - k[518]*y[:,15] - k[520]*y[:,17] - k[521]*y[:,2] - k[547]*y[:,9] - k[549]*y[:,33] - k[801]
- dfdy[indx[52], indx[53]] = 2*M*k[692]*y[:,25] + k[505]*y[:,4] + k[507]*y[:,2] + k[509]*y[:,0] + k[548]*y[:,8]
+ dfdy[indx[52], indx[52]] = -4*M*k[741]*y[:,52] - M*k[746] - k[495]*y[:,3] - k[497]*y[:,3] - k[499]*y[:,3] - k[501]*y[:,17] - k[504]*y[:,0] - k[506]*y[:,2] - k[508]*y[:,1] - k[511]*y[:,4] - k[513]*y[:,8] - k[515]*y[:,15] - k[518]*y[:,17] - k[519]*y[:,0] - k[547]*y[:,9] - k[549]*y[:,33] - k[603]*y[:,32] - k[606]*y[:,21] - k[610]*y[:,20] - 4*k[613]*y[:,52] - k[863]
+ dfdy[indx[52], indx[53]] = 2*M*k[742]*y[:,25] + k[503]*y[:,4] + k[505]*y[:,0] + k[507]*y[:,3] + k[548]*y[:,8] + 2*k[614]*y[:,25]
dfdy[indx[52], indx[54]] = 0
dfdy[indx[52], indx[55]] = 0
dfdy[indx[52], indx[56]] = 0
@@ -6670,11 +7120,15 @@ def symjac(y, M, k):
dfdy[indx[52], indx[62]] = 0
dfdy[indx[52], indx[63]] = 0
dfdy[indx[52], indx[64]] = 0
- dfdy[indx[53], indx[0]] = -k[509]*y[:,53] - k[511]*y[:,53]
- dfdy[indx[53], indx[1]] = k[508]*y[:,52] + k[512]*y[:,2]
- dfdy[indx[53], indx[2]] = 2*M*k[693]*y[:,2] + k[506]*y[:,52] - k[507]*y[:,53] + k[512]*y[:,1]
- dfdy[indx[53], indx[3]] = k[510]*y[:,52]
- dfdy[indx[53], indx[4]] = -k[505]*y[:,53]
+ dfdy[indx[52], indx[65]] = 0
+ dfdy[indx[52], indx[66]] = 0
+ dfdy[indx[52], indx[67]] = 0
+ dfdy[indx[52], indx[68]] = 0
+ dfdy[indx[53], indx[0]] = 2*M*k[743]*y[:,0] + k[504]*y[:,52] - k[505]*y[:,53] + k[510]*y[:,2]
+ dfdy[indx[53], indx[1]] = k[508]*y[:,52]
+ dfdy[indx[53], indx[2]] = k[506]*y[:,52] + k[510]*y[:,0]
+ dfdy[indx[53], indx[3]] = -k[507]*y[:,53] - k[509]*y[:,53]
+ dfdy[indx[53], indx[4]] = -k[503]*y[:,53]
dfdy[indx[53], indx[5]] = 0
dfdy[indx[53], indx[6]] = 0
dfdy[indx[53], indx[7]] = 0
@@ -6695,7 +7149,7 @@ def symjac(y, M, k):
dfdy[indx[53], indx[22]] = 0
dfdy[indx[53], indx[23]] = 0
dfdy[indx[53], indx[24]] = 0
- dfdy[indx[53], indx[25]] = -M*k[692]*y[:,53]
+ dfdy[indx[53], indx[25]] = -M*k[742]*y[:,53] - k[614]*y[:,53]
dfdy[indx[53], indx[26]] = 0
dfdy[indx[53], indx[27]] = 0
dfdy[indx[53], indx[28]] = 0
@@ -6722,8 +7176,8 @@ def symjac(y, M, k):
dfdy[indx[53], indx[49]] = 0
dfdy[indx[53], indx[50]] = 0
dfdy[indx[53], indx[51]] = 0
- dfdy[indx[53], indx[52]] = 2*M*k[691]*y[:,52] + k[506]*y[:,2] + k[508]*y[:,1] + k[510]*y[:,3] + k[547]*y[:,9]
- dfdy[indx[53], indx[53]] = -M*k[692]*y[:,25] - M*k[694] - k[505]*y[:,4] - k[507]*y[:,2] - k[509]*y[:,0] - k[511]*y[:,0] - k[548]*y[:,8]
+ dfdy[indx[53], indx[52]] = 2*M*k[741]*y[:,52] + k[504]*y[:,0] + k[506]*y[:,2] + k[508]*y[:,1] + k[547]*y[:,9] + 2*k[613]*y[:,52]
+ dfdy[indx[53], indx[53]] = -M*k[742]*y[:,25] - M*k[744] - k[503]*y[:,4] - k[505]*y[:,0] - k[507]*y[:,3] - k[509]*y[:,3] - k[548]*y[:,8] - k[614]*y[:,25]
dfdy[indx[53], indx[54]] = 0
dfdy[indx[53], indx[55]] = 0
dfdy[indx[53], indx[56]] = 0
@@ -6735,19 +7189,23 @@ def symjac(y, M, k):
dfdy[indx[53], indx[62]] = 0
dfdy[indx[53], indx[63]] = 0
dfdy[indx[53], indx[64]] = 0
- dfdy[indx[54], indx[0]] = -k[526]*y[:,54] - k[528]*y[:,54] - k[564]*y[:,54]
- dfdy[indx[54], indx[1]] = 0
+ dfdy[indx[53], indx[65]] = 0
+ dfdy[indx[53], indx[66]] = 0
+ dfdy[indx[53], indx[67]] = 0
+ dfdy[indx[53], indx[68]] = 0
+ dfdy[indx[54], indx[0]] = 0
+ dfdy[indx[54], indx[1]] = -k[562]*y[:,54]
dfdy[indx[54], indx[2]] = 0
- dfdy[indx[54], indx[3]] = -k[562]*y[:,54]
+ dfdy[indx[54], indx[3]] = -k[524]*y[:,54] - k[526]*y[:,54] - k[564]*y[:,54]
dfdy[indx[54], indx[4]] = 0
dfdy[indx[54], indx[5]] = 0
dfdy[indx[54], indx[6]] = 0
dfdy[indx[54], indx[7]] = 0
dfdy[indx[54], indx[8]] = 0
dfdy[indx[54], indx[9]] = 0
- dfdy[indx[54], indx[10]] = k[543]*y[:,57]
- dfdy[indx[54], indx[11]] = k[525]*y[:,30] - k[544]*y[:,54]
- dfdy[indx[54], indx[12]] = k[527]*y[:,31]
+ dfdy[indx[54], indx[10]] = k[541]*y[:,57]
+ dfdy[indx[54], indx[11]] = k[523]*y[:,30] - k[542]*y[:,54]
+ dfdy[indx[54], indx[12]] = k[525]*y[:,31]
dfdy[indx[54], indx[13]] = 0
dfdy[indx[54], indx[14]] = 0
dfdy[indx[54], indx[15]] = 0
@@ -6765,8 +7223,8 @@ def symjac(y, M, k):
dfdy[indx[54], indx[27]] = 0
dfdy[indx[54], indx[28]] = k[561]*y[:,58] + k[563]*y[:,59]
dfdy[indx[54], indx[29]] = 0
- dfdy[indx[54], indx[30]] = k[525]*y[:,11]
- dfdy[indx[54], indx[31]] = k[527]*y[:,12]
+ dfdy[indx[54], indx[30]] = k[523]*y[:,11]
+ dfdy[indx[54], indx[31]] = k[525]*y[:,12]
dfdy[indx[54], indx[32]] = 0
dfdy[indx[54], indx[33]] = 0
dfdy[indx[54], indx[34]] = 0
@@ -6789,10 +7247,10 @@ def symjac(y, M, k):
dfdy[indx[54], indx[51]] = 0
dfdy[indx[54], indx[52]] = 0
dfdy[indx[54], indx[53]] = 0
- dfdy[indx[54], indx[54]] = -k[526]*y[:,0] - k[528]*y[:,0] - k[544]*y[:,11] - k[562]*y[:,3] - k[564]*y[:,0]
+ dfdy[indx[54], indx[54]] = -k[524]*y[:,3] - k[526]*y[:,3] - k[542]*y[:,11] - k[562]*y[:,1] - k[564]*y[:,3]
dfdy[indx[54], indx[55]] = 0
dfdy[indx[54], indx[56]] = 0
- dfdy[indx[54], indx[57]] = k[543]*y[:,10]
+ dfdy[indx[54], indx[57]] = k[541]*y[:,10]
dfdy[indx[54], indx[58]] = k[561]*y[:,28]
dfdy[indx[54], indx[59]] = k[563]*y[:,28]
dfdy[indx[54], indx[60]] = 0
@@ -6800,15 +7258,19 @@ def symjac(y, M, k):
dfdy[indx[54], indx[62]] = 0
dfdy[indx[54], indx[63]] = 0
dfdy[indx[54], indx[64]] = 0
- dfdy[indx[55], indx[0]] = M*k[697]*y[:,56] - k[529]*y[:,55] - k[531]*y[:,55]
- dfdy[indx[55], indx[1]] = k[534]*y[:,56]
- dfdy[indx[55], indx[2]] = -k[533]*y[:,55] + k[536]*y[:,56]
- dfdy[indx[55], indx[3]] = k[532]*y[:,56]
- dfdy[indx[55], indx[4]] = -k[535]*y[:,55]
+ dfdy[indx[54], indx[65]] = 0
+ dfdy[indx[54], indx[66]] = 0
+ dfdy[indx[54], indx[67]] = 0
+ dfdy[indx[54], indx[68]] = 0
+ dfdy[indx[55], indx[0]] = -k[531]*y[:,55] + k[534]*y[:,56]
+ dfdy[indx[55], indx[1]] = k[530]*y[:,56]
+ dfdy[indx[55], indx[2]] = k[532]*y[:,56]
+ dfdy[indx[55], indx[3]] = M*k[747]*y[:,56] - k[527]*y[:,55] - k[529]*y[:,55]
+ dfdy[indx[55], indx[4]] = -k[533]*y[:,55]
dfdy[indx[55], indx[5]] = 0
dfdy[indx[55], indx[6]] = 0
dfdy[indx[55], indx[7]] = 0
- dfdy[indx[55], indx[8]] = k[530]*y[:,31]
+ dfdy[indx[55], indx[8]] = k[528]*y[:,31]
dfdy[indx[55], indx[9]] = 0
dfdy[indx[55], indx[10]] = 0
dfdy[indx[55], indx[11]] = 0
@@ -6831,7 +7293,7 @@ def symjac(y, M, k):
dfdy[indx[55], indx[28]] = 0
dfdy[indx[55], indx[29]] = 0
dfdy[indx[55], indx[30]] = 0
- dfdy[indx[55], indx[31]] = k[530]*y[:,8]
+ dfdy[indx[55], indx[31]] = k[528]*y[:,8]
dfdy[indx[55], indx[32]] = 0
dfdy[indx[55], indx[33]] = 0
dfdy[indx[55], indx[34]] = 0
@@ -6855,8 +7317,8 @@ def symjac(y, M, k):
dfdy[indx[55], indx[52]] = 0
dfdy[indx[55], indx[53]] = 0
dfdy[indx[55], indx[54]] = 0
- dfdy[indx[55], indx[55]] = -M*k[698] - k[529]*y[:,0] - k[531]*y[:,0] - k[533]*y[:,2] - k[535]*y[:,4]
- dfdy[indx[55], indx[56]] = M*k[697]*y[:,0] + k[532]*y[:,3] + k[534]*y[:,1] + k[536]*y[:,2]
+ dfdy[indx[55], indx[55]] = -M*k[748] - k[527]*y[:,3] - k[529]*y[:,3] - k[531]*y[:,0] - k[533]*y[:,4]
+ dfdy[indx[55], indx[56]] = M*k[747]*y[:,3] + k[530]*y[:,1] + k[532]*y[:,2] + k[534]*y[:,0]
dfdy[indx[55], indx[57]] = 0
dfdy[indx[55], indx[58]] = 0
dfdy[indx[55], indx[59]] = 0
@@ -6865,20 +7327,24 @@ def symjac(y, M, k):
dfdy[indx[55], indx[62]] = 0
dfdy[indx[55], indx[63]] = 0
dfdy[indx[55], indx[64]] = 0
- dfdy[indx[56], indx[0]] = -M*k[697]*y[:,56] + k[531]*y[:,55] - k[546]*y[:,56]
- dfdy[indx[56], indx[1]] = -k[534]*y[:,56]
- dfdy[indx[56], indx[2]] = k[533]*y[:,55] - k[536]*y[:,56]
- dfdy[indx[56], indx[3]] = -k[532]*y[:,56]
- dfdy[indx[56], indx[4]] = k[535]*y[:,55]
+ dfdy[indx[55], indx[65]] = 0
+ dfdy[indx[55], indx[66]] = 0
+ dfdy[indx[55], indx[67]] = 0
+ dfdy[indx[55], indx[68]] = 0
+ dfdy[indx[56], indx[0]] = k[531]*y[:,55] - k[534]*y[:,56]
+ dfdy[indx[56], indx[1]] = -k[530]*y[:,56]
+ dfdy[indx[56], indx[2]] = -k[532]*y[:,56]
+ dfdy[indx[56], indx[3]] = -M*k[747]*y[:,56] + k[529]*y[:,55] - k[544]*y[:,56] - k[612]*y[:,56]
+ dfdy[indx[56], indx[4]] = k[533]*y[:,55] - k[545]*y[:,56]
dfdy[indx[56], indx[5]] = 0
dfdy[indx[56], indx[6]] = 0
dfdy[indx[56], indx[7]] = 0
- dfdy[indx[56], indx[8]] = 0
+ dfdy[indx[56], indx[8]] = k[611]*y[:,30]
dfdy[indx[56], indx[9]] = 0
dfdy[indx[56], indx[10]] = 0
dfdy[indx[56], indx[11]] = 0
dfdy[indx[56], indx[12]] = 0
- dfdy[indx[56], indx[13]] = k[545]*y[:,28]
+ dfdy[indx[56], indx[13]] = k[543]*y[:,28]
dfdy[indx[56], indx[14]] = 0
dfdy[indx[56], indx[15]] = 0
dfdy[indx[56], indx[16]] = 0
@@ -6886,17 +7352,17 @@ def symjac(y, M, k):
dfdy[indx[56], indx[18]] = 0
dfdy[indx[56], indx[19]] = 0
dfdy[indx[56], indx[20]] = 0
- dfdy[indx[56], indx[21]] = 0
+ dfdy[indx[56], indx[21]] = k[546]*y[:,31]
dfdy[indx[56], indx[22]] = 0
dfdy[indx[56], indx[23]] = 0
dfdy[indx[56], indx[24]] = 0
dfdy[indx[56], indx[25]] = 0
dfdy[indx[56], indx[26]] = 0
dfdy[indx[56], indx[27]] = 0
- dfdy[indx[56], indx[28]] = k[545]*y[:,13]
+ dfdy[indx[56], indx[28]] = k[543]*y[:,13]
dfdy[indx[56], indx[29]] = 0
- dfdy[indx[56], indx[30]] = 0
- dfdy[indx[56], indx[31]] = 0
+ dfdy[indx[56], indx[30]] = k[611]*y[:,8]
+ dfdy[indx[56], indx[31]] = k[546]*y[:,21]
dfdy[indx[56], indx[32]] = 0
dfdy[indx[56], indx[33]] = 0
dfdy[indx[56], indx[34]] = 0
@@ -6920,8 +7386,8 @@ def symjac(y, M, k):
dfdy[indx[56], indx[52]] = 0
dfdy[indx[56], indx[53]] = 0
dfdy[indx[56], indx[54]] = 0
- dfdy[indx[56], indx[55]] = M*k[698] + k[531]*y[:,0] + k[533]*y[:,2] + k[535]*y[:,4]
- dfdy[indx[56], indx[56]] = -M*k[697]*y[:,0] - k[532]*y[:,3] - k[534]*y[:,1] - k[536]*y[:,2] - k[546]*y[:,0]
+ dfdy[indx[56], indx[55]] = M*k[748] + k[529]*y[:,3] + k[531]*y[:,0] + k[533]*y[:,4]
+ dfdy[indx[56], indx[56]] = -M*k[747]*y[:,3] - k[530]*y[:,1] - k[532]*y[:,2] - k[534]*y[:,0] - k[544]*y[:,3] - k[545]*y[:,4] - k[612]*y[:,3]
dfdy[indx[56], indx[57]] = 0
dfdy[indx[56], indx[58]] = 0
dfdy[indx[56], indx[59]] = 0
@@ -6930,21 +7396,25 @@ def symjac(y, M, k):
dfdy[indx[56], indx[62]] = 0
dfdy[indx[56], indx[63]] = 0
dfdy[indx[56], indx[64]] = 0
- dfdy[indx[57], indx[0]] = -k[538]*y[:,57] - k[540]*y[:,57]
+ dfdy[indx[56], indx[65]] = 0
+ dfdy[indx[56], indx[66]] = 0
+ dfdy[indx[56], indx[67]] = 0
+ dfdy[indx[56], indx[68]] = 0
+ dfdy[indx[57], indx[0]] = 0
dfdy[indx[57], indx[1]] = 0
dfdy[indx[57], indx[2]] = 0
- dfdy[indx[57], indx[3]] = 0
+ dfdy[indx[57], indx[3]] = -k[536]*y[:,57] - k[538]*y[:,57]
dfdy[indx[57], indx[4]] = 0
dfdy[indx[57], indx[5]] = 0
dfdy[indx[57], indx[6]] = 0
dfdy[indx[57], indx[7]] = 0
dfdy[indx[57], indx[8]] = 0
dfdy[indx[57], indx[9]] = 0
- dfdy[indx[57], indx[10]] = -k[541]*y[:,57] - k[543]*y[:,57]
- dfdy[indx[57], indx[11]] = k[544]*y[:,54]
+ dfdy[indx[57], indx[10]] = -k[539]*y[:,57] - k[541]*y[:,57]
+ dfdy[indx[57], indx[11]] = k[542]*y[:,54]
dfdy[indx[57], indx[12]] = 0
- dfdy[indx[57], indx[13]] = k[539]*y[:,31]
- dfdy[indx[57], indx[14]] = k[537]*y[:,30]
+ dfdy[indx[57], indx[13]] = k[537]*y[:,31]
+ dfdy[indx[57], indx[14]] = k[535]*y[:,30]
dfdy[indx[57], indx[15]] = 0
dfdy[indx[57], indx[16]] = 0
dfdy[indx[57], indx[17]] = 0
@@ -6960,8 +7430,8 @@ def symjac(y, M, k):
dfdy[indx[57], indx[27]] = 0
dfdy[indx[57], indx[28]] = 0
dfdy[indx[57], indx[29]] = 0
- dfdy[indx[57], indx[30]] = k[537]*y[:,14]
- dfdy[indx[57], indx[31]] = k[539]*y[:,13] + k[542]*y[:,45]
+ dfdy[indx[57], indx[30]] = k[535]*y[:,14]
+ dfdy[indx[57], indx[31]] = k[537]*y[:,13] + k[540]*y[:,45]
dfdy[indx[57], indx[32]] = 0
dfdy[indx[57], indx[33]] = 0
dfdy[indx[57], indx[34]] = 0
@@ -6975,7 +7445,7 @@ def symjac(y, M, k):
dfdy[indx[57], indx[42]] = 0
dfdy[indx[57], indx[43]] = 0
dfdy[indx[57], indx[44]] = 0
- dfdy[indx[57], indx[45]] = k[542]*y[:,31]
+ dfdy[indx[57], indx[45]] = k[540]*y[:,31]
dfdy[indx[57], indx[46]] = 0
dfdy[indx[57], indx[47]] = 0
dfdy[indx[57], indx[48]] = 0
@@ -6984,10 +7454,10 @@ def symjac(y, M, k):
dfdy[indx[57], indx[51]] = 0
dfdy[indx[57], indx[52]] = 0
dfdy[indx[57], indx[53]] = 0
- dfdy[indx[57], indx[54]] = k[544]*y[:,11]
+ dfdy[indx[57], indx[54]] = k[542]*y[:,11]
dfdy[indx[57], indx[55]] = 0
dfdy[indx[57], indx[56]] = 0
- dfdy[indx[57], indx[57]] = -k[538]*y[:,0] - k[540]*y[:,0] - k[541]*y[:,10] - k[543]*y[:,10]
+ dfdy[indx[57], indx[57]] = -k[536]*y[:,3] - k[538]*y[:,3] - k[539]*y[:,10] - k[541]*y[:,10]
dfdy[indx[57], indx[58]] = 0
dfdy[indx[57], indx[59]] = 0
dfdy[indx[57], indx[60]] = 0
@@ -6995,18 +7465,22 @@ def symjac(y, M, k):
dfdy[indx[57], indx[62]] = 0
dfdy[indx[57], indx[63]] = 0
dfdy[indx[57], indx[64]] = 0
- dfdy[indx[58], indx[0]] = M*k[699]*y[:,59] - k[568]*y[:,58] - k[574]*y[:,58] - k[598]*y[:,58]
- dfdy[indx[58], indx[1]] = 0
- dfdy[indx[58], indx[2]] = -k[557]*y[:,58] - k[560]*y[:,58]
- dfdy[indx[58], indx[3]] = k[562]*y[:,54]
+ dfdy[indx[57], indx[65]] = 0
+ dfdy[indx[57], indx[66]] = 0
+ dfdy[indx[57], indx[67]] = 0
+ dfdy[indx[57], indx[68]] = 0
+ dfdy[indx[58], indx[0]] = -k[557]*y[:,58] - k[560]*y[:,58]
+ dfdy[indx[58], indx[1]] = k[562]*y[:,54]
+ dfdy[indx[58], indx[2]] = 0
+ dfdy[indx[58], indx[3]] = M*k[749]*y[:,59] - M*k[755]*y[:,58] - k[568]*y[:,58] - k[574]*y[:,58] + k[584]*y[:,61] - k[642]*y[:,58]
dfdy[indx[58], indx[4]] = 0
- dfdy[indx[58], indx[5]] = 0
+ dfdy[indx[58], indx[5]] = -k[583]*y[:,58]
dfdy[indx[58], indx[6]] = 0
dfdy[indx[58], indx[7]] = k[567]*y[:,11]
dfdy[indx[58], indx[8]] = -k[554]*y[:,58] - k[556]*y[:,58] + k[573]*y[:,12]
dfdy[indx[58], indx[9]] = 0
dfdy[indx[58], indx[10]] = 0
- dfdy[indx[58], indx[11]] = k[567]*y[:,7] + k[597]*y[:,61]
+ dfdy[indx[58], indx[11]] = k[567]*y[:,7] + k[641]*y[:,66]
dfdy[indx[58], indx[12]] = k[553]*y[:,15] + k[559]*y[:,19] + k[573]*y[:,8]
dfdy[indx[58], indx[13]] = 2*k[555]*y[:,13] + k[558]*y[:,21]
dfdy[indx[58], indx[14]] = 0
@@ -7049,29 +7523,33 @@ def symjac(y, M, k):
dfdy[indx[58], indx[51]] = 0
dfdy[indx[58], indx[52]] = 0
dfdy[indx[58], indx[53]] = 0
- dfdy[indx[58], indx[54]] = k[562]*y[:,3]
+ dfdy[indx[58], indx[54]] = k[562]*y[:,1]
dfdy[indx[58], indx[55]] = 0
dfdy[indx[58], indx[56]] = 0
dfdy[indx[58], indx[57]] = 0
- dfdy[indx[58], indx[58]] = -M*k[700] - 4*M*k[701]*y[:,58] - k[554]*y[:,8] - k[556]*y[:,8] - k[557]*y[:,2] - k[560]*y[:,2] - k[561]*y[:,28] - k[568]*y[:,0] - k[574]*y[:,0] - k[598]*y[:,0] - 4*k[808]*y[:,58]
- dfdy[indx[58], indx[59]] = M*k[699]*y[:,0]
- dfdy[indx[58], indx[60]] = 0
- dfdy[indx[58], indx[61]] = k[597]*y[:,11]
+ dfdy[indx[58], indx[58]] = -M*k[750] - 4*M*k[751]*y[:,58] - M*k[755]*y[:,3] - k[554]*y[:,8] - k[556]*y[:,8] - k[557]*y[:,0] - k[560]*y[:,0] - k[561]*y[:,28] - k[568]*y[:,3] - k[574]*y[:,3] - k[583]*y[:,5] - k[642]*y[:,3] - 4*k[876]*y[:,58]
+ dfdy[indx[58], indx[59]] = M*k[749]*y[:,3]
+ dfdy[indx[58], indx[60]] = M*k[756]
+ dfdy[indx[58], indx[61]] = k[584]*y[:,3]
dfdy[indx[58], indx[62]] = 0
- dfdy[indx[58], indx[63]] = 0
- dfdy[indx[58], indx[64]] = 2*M*k[702] + 2*k[807]
- dfdy[indx[59], indx[0]] = -M*k[699]*y[:,59] + k[564]*y[:,54] - k[570]*y[:,59] - k[572]*y[:,59]
- dfdy[indx[59], indx[1]] = 0
+ dfdy[indx[58], indx[63]] = 2*M*k[752] + 2*k[875]
+ dfdy[indx[58], indx[64]] = 0
+ dfdy[indx[58], indx[65]] = 0
+ dfdy[indx[58], indx[66]] = k[641]*y[:,11]
+ dfdy[indx[58], indx[67]] = 0
+ dfdy[indx[58], indx[68]] = 0
+ dfdy[indx[59], indx[0]] = 0
+ dfdy[indx[59], indx[1]] = -k[566]*y[:,59]
dfdy[indx[59], indx[2]] = 0
- dfdy[indx[59], indx[3]] = -k[566]*y[:,59]
+ dfdy[indx[59], indx[3]] = -M*k[749]*y[:,59] + k[564]*y[:,54] - k[570]*y[:,59] - k[572]*y[:,59]
dfdy[indx[59], indx[4]] = 0
dfdy[indx[59], indx[5]] = k[571]*y[:,11]
- dfdy[indx[59], indx[6]] = 0
+ dfdy[indx[59], indx[6]] = k[593]*y[:,11]
dfdy[indx[59], indx[7]] = k[565]*y[:,11] + k[569]*y[:,12]
dfdy[indx[59], indx[8]] = 0
dfdy[indx[59], indx[9]] = 0
dfdy[indx[59], indx[10]] = 0
- dfdy[indx[59], indx[11]] = k[565]*y[:,7] + k[571]*y[:,5]
+ dfdy[indx[59], indx[11]] = k[565]*y[:,7] + k[571]*y[:,5] + k[593]*y[:,6]
dfdy[indx[59], indx[12]] = k[569]*y[:,7]
dfdy[indx[59], indx[13]] = 0
dfdy[indx[59], indx[14]] = 0
@@ -7114,53 +7592,57 @@ def symjac(y, M, k):
dfdy[indx[59], indx[51]] = 0
dfdy[indx[59], indx[52]] = 0
dfdy[indx[59], indx[53]] = 0
- dfdy[indx[59], indx[54]] = k[564]*y[:,0]
+ dfdy[indx[59], indx[54]] = k[564]*y[:,3]
dfdy[indx[59], indx[55]] = 0
dfdy[indx[59], indx[56]] = 0
dfdy[indx[59], indx[57]] = 0
- dfdy[indx[59], indx[58]] = M*k[700]
- dfdy[indx[59], indx[59]] = -M*k[699]*y[:,0] - k[563]*y[:,28] - k[566]*y[:,3] - k[570]*y[:,0] - k[572]*y[:,0]
+ dfdy[indx[59], indx[58]] = M*k[750]
+ dfdy[indx[59], indx[59]] = -M*k[749]*y[:,3] - k[563]*y[:,28] - k[566]*y[:,1] - k[570]*y[:,3] - k[572]*y[:,3] - k[594]
dfdy[indx[59], indx[60]] = 0
dfdy[indx[59], indx[61]] = 0
dfdy[indx[59], indx[62]] = 0
dfdy[indx[59], indx[63]] = 0
dfdy[indx[59], indx[64]] = 0
- dfdy[indx[60], indx[0]] = k[576]*y[:,2]
- dfdy[indx[60], indx[1]] = -k[579]*y[:,60] + k[723]
- dfdy[indx[60], indx[2]] = k[576]*y[:,0] + k[578]*y[:,8] + 2*k[580]*y[:,2] + k[584]*y[:,33]
- dfdy[indx[60], indx[3]] = -k[575]*y[:,60] - k[724]*y[:,60]
- dfdy[indx[60], indx[4]] = k[582]*y[:,18] - k[806]*y[:,60]
+ dfdy[indx[59], indx[65]] = 0
+ dfdy[indx[59], indx[66]] = 0
+ dfdy[indx[59], indx[67]] = 0
+ dfdy[indx[59], indx[68]] = 0
+ dfdy[indx[60], indx[0]] = 0
+ dfdy[indx[60], indx[1]] = 0
+ dfdy[indx[60], indx[2]] = 0
+ dfdy[indx[60], indx[3]] = M*k[755]*y[:,58] - k[582]*y[:,60]
+ dfdy[indx[60], indx[4]] = 0
dfdy[indx[60], indx[5]] = 0
dfdy[indx[60], indx[6]] = 0
- dfdy[indx[60], indx[7]] = 0
- dfdy[indx[60], indx[8]] = k[578]*y[:,2]
- dfdy[indx[60], indx[9]] = -k[577]*y[:,60]
+ dfdy[indx[60], indx[7]] = M*k[757]*y[:,11]
+ dfdy[indx[60], indx[8]] = k[581]*y[:,11]
+ dfdy[indx[60], indx[9]] = 0
dfdy[indx[60], indx[10]] = 0
- dfdy[indx[60], indx[11]] = 0
+ dfdy[indx[60], indx[11]] = M*k[757]*y[:,7] + k[581]*y[:,8]
dfdy[indx[60], indx[12]] = 0
dfdy[indx[60], indx[13]] = 0
dfdy[indx[60], indx[14]] = 0
dfdy[indx[60], indx[15]] = 0
dfdy[indx[60], indx[16]] = 0
- dfdy[indx[60], indx[17]] = -k[585]*y[:,60] - k[748]*y[:,60]
- dfdy[indx[60], indx[18]] = -k[581]*y[:,60] + k[582]*y[:,4] + k[586] + k[747]
+ dfdy[indx[60], indx[17]] = 0
+ dfdy[indx[60], indx[18]] = 0
dfdy[indx[60], indx[19]] = 0
dfdy[indx[60], indx[20]] = 0
dfdy[indx[60], indx[21]] = 0
dfdy[indx[60], indx[22]] = 0
dfdy[indx[60], indx[23]] = 0
dfdy[indx[60], indx[24]] = 0
- dfdy[indx[60], indx[25]] = k[588]*y[:,32] + k[805]
+ dfdy[indx[60], indx[25]] = 0
dfdy[indx[60], indx[26]] = 0
dfdy[indx[60], indx[27]] = 0
dfdy[indx[60], indx[28]] = 0
dfdy[indx[60], indx[29]] = 0
dfdy[indx[60], indx[30]] = 0
dfdy[indx[60], indx[31]] = 0
- dfdy[indx[60], indx[32]] = k[588]*y[:,25]
- dfdy[indx[60], indx[33]] = k[584]*y[:,2]
+ dfdy[indx[60], indx[32]] = 0
+ dfdy[indx[60], indx[33]] = 0
dfdy[indx[60], indx[34]] = 0
- dfdy[indx[60], indx[35]] = -k[583]*y[:,60]
+ dfdy[indx[60], indx[35]] = 0
dfdy[indx[60], indx[36]] = 0
dfdy[indx[60], indx[37]] = 0
dfdy[indx[60], indx[38]] = 0
@@ -7168,7 +7650,7 @@ def symjac(y, M, k):
dfdy[indx[60], indx[40]] = 0
dfdy[indx[60], indx[41]] = 0
dfdy[indx[60], indx[42]] = 0
- dfdy[indx[60], indx[43]] = -k[587]*y[:,60]
+ dfdy[indx[60], indx[43]] = 0
dfdy[indx[60], indx[44]] = 0
dfdy[indx[60], indx[45]] = 0
dfdy[indx[60], indx[46]] = 0
@@ -7183,31 +7665,35 @@ def symjac(y, M, k):
dfdy[indx[60], indx[55]] = 0
dfdy[indx[60], indx[56]] = 0
dfdy[indx[60], indx[57]] = 0
- dfdy[indx[60], indx[58]] = 0
+ dfdy[indx[60], indx[58]] = M*k[755]*y[:,3]
dfdy[indx[60], indx[59]] = 0
- dfdy[indx[60], indx[60]] = -k[575]*y[:,3] - k[577]*y[:,9] - k[579]*y[:,1] - k[581]*y[:,18] - k[583]*y[:,35] - k[585]*y[:,17] - k[587]*y[:,43] - k[724]*y[:,3] - k[748]*y[:,17] - k[806]*y[:,4]
+ dfdy[indx[60], indx[60]] = -M*k[756] - M*k[758] - k[582]*y[:,3]
dfdy[indx[60], indx[61]] = 0
dfdy[indx[60], indx[62]] = 0
dfdy[indx[60], indx[63]] = 0
dfdy[indx[60], indx[64]] = 0
- dfdy[indx[61], indx[0]] = k[590]*y[:,8] + k[598]*y[:,58] - 2*k[732]*y[:,0]*y[:,61] - k[738]*y[:,61]
- dfdy[indx[61], indx[1]] = -k[593]*y[:,61] + k[594]*y[:,7]
+ dfdy[indx[60], indx[65]] = 0
+ dfdy[indx[60], indx[66]] = 0
+ dfdy[indx[60], indx[67]] = 0
+ dfdy[indx[60], indx[68]] = 0
+ dfdy[indx[61], indx[0]] = 0
+ dfdy[indx[61], indx[1]] = 0
dfdy[indx[61], indx[2]] = 0
- dfdy[indx[61], indx[3]] = -k[589]*y[:,61] - k[591]*y[:,61] + k[592]*y[:,7] - k[730]*y[:,61]
+ dfdy[indx[61], indx[3]] = M*k[761]*y[:,45] - k[584]*y[:,61]
dfdy[indx[61], indx[4]] = 0
- dfdy[indx[61], indx[5]] = 0
+ dfdy[indx[61], indx[5]] = k[583]*y[:,58]
dfdy[indx[61], indx[6]] = 0
- dfdy[indx[61], indx[7]] = k[592]*y[:,3] + k[594]*y[:,1] + k[596]*y[:,17]
- dfdy[indx[61], indx[8]] = k[590]*y[:,0] + k[737]
- dfdy[indx[61], indx[9]] = k[729] + k[731] - k[762]*y[:,61]
+ dfdy[indx[61], indx[7]] = 0
+ dfdy[indx[61], indx[8]] = 0
+ dfdy[indx[61], indx[9]] = 0
dfdy[indx[61], indx[10]] = 0
- dfdy[indx[61], indx[11]] = -k[597]*y[:,61]
+ dfdy[indx[61], indx[11]] = -M*k[763]*y[:,61]
dfdy[indx[61], indx[12]] = 0
dfdy[indx[61], indx[13]] = 0
dfdy[indx[61], indx[14]] = 0
dfdy[indx[61], indx[15]] = 0
- dfdy[indx[61], indx[16]] = k[761]
- dfdy[indx[61], indx[17]] = -k[595]*y[:,61] + k[596]*y[:,7]
+ dfdy[indx[61], indx[16]] = 0
+ dfdy[indx[61], indx[17]] = 0
dfdy[indx[61], indx[18]] = 0
dfdy[indx[61], indx[19]] = 0
dfdy[indx[61], indx[20]] = 0
@@ -7235,7 +7721,7 @@ def symjac(y, M, k):
dfdy[indx[61], indx[42]] = 0
dfdy[indx[61], indx[43]] = 0
dfdy[indx[61], indx[44]] = 0
- dfdy[indx[61], indx[45]] = 0
+ dfdy[indx[61], indx[45]] = M*k[761]*y[:,3]
dfdy[indx[61], indx[46]] = 0
dfdy[indx[61], indx[47]] = 0
dfdy[indx[61], indx[48]] = 0
@@ -7248,17 +7734,21 @@ def symjac(y, M, k):
dfdy[indx[61], indx[55]] = 0
dfdy[indx[61], indx[56]] = 0
dfdy[indx[61], indx[57]] = 0
- dfdy[indx[61], indx[58]] = k[598]*y[:,0]
+ dfdy[indx[61], indx[58]] = k[583]*y[:,5]
dfdy[indx[61], indx[59]] = 0
dfdy[indx[61], indx[60]] = 0
- dfdy[indx[61], indx[61]] = -k[589]*y[:,3] - k[591]*y[:,3] - k[593]*y[:,1] - k[595]*y[:,17] - k[597]*y[:,11] - k[730]*y[:,3] - k[732]*y[:,0]**2 - k[738]*y[:,0] - k[762]*y[:,9]
+ dfdy[indx[61], indx[61]] = -M*k[762] - M*k[763]*y[:,11] - k[584]*y[:,3]
dfdy[indx[61], indx[62]] = 0
dfdy[indx[61], indx[63]] = 0
- dfdy[indx[61], indx[64]] = 0
- dfdy[indx[62], indx[0]] = k[600]*y[:,29]
- dfdy[indx[62], indx[1]] = -k[601]*y[:,62]
- dfdy[indx[62], indx[2]] = k[602]*y[:,29]
- dfdy[indx[62], indx[3]] = -k[599]*y[:,62]
+ dfdy[indx[61], indx[64]] = M*k[764]
+ dfdy[indx[61], indx[65]] = 0
+ dfdy[indx[61], indx[66]] = 0
+ dfdy[indx[61], indx[67]] = 0
+ dfdy[indx[61], indx[68]] = 0
+ dfdy[indx[62], indx[0]] = 0
+ dfdy[indx[62], indx[1]] = 0
+ dfdy[indx[62], indx[2]] = 0
+ dfdy[indx[62], indx[3]] = -k[586]*y[:,62] + k[588]*y[:,63]
dfdy[indx[62], indx[4]] = 0
dfdy[indx[62], indx[5]] = 0
dfdy[indx[62], indx[6]] = 0
@@ -7266,11 +7756,11 @@ def symjac(y, M, k):
dfdy[indx[62], indx[8]] = 0
dfdy[indx[62], indx[9]] = 0
dfdy[indx[62], indx[10]] = 0
- dfdy[indx[62], indx[11]] = 0
- dfdy[indx[62], indx[12]] = 0
- dfdy[indx[62], indx[13]] = 0
+ dfdy[indx[62], indx[11]] = M*k[765]*y[:,13] - k[587]*y[:,62]
+ dfdy[indx[62], indx[12]] = k[585]*y[:,15]
+ dfdy[indx[62], indx[13]] = M*k[765]*y[:,11]
dfdy[indx[62], indx[14]] = 0
- dfdy[indx[62], indx[15]] = 0
+ dfdy[indx[62], indx[15]] = k[585]*y[:,12]
dfdy[indx[62], indx[16]] = 0
dfdy[indx[62], indx[17]] = 0
dfdy[indx[62], indx[18]] = 0
@@ -7283,14 +7773,14 @@ def symjac(y, M, k):
dfdy[indx[62], indx[25]] = 0
dfdy[indx[62], indx[26]] = 0
dfdy[indx[62], indx[27]] = 0
- dfdy[indx[62], indx[28]] = M*k[718]
- dfdy[indx[62], indx[29]] = k[600]*y[:,0] + k[602]*y[:,2] + k[604]*y[:,33]
+ dfdy[indx[62], indx[28]] = 0
+ dfdy[indx[62], indx[29]] = 0
dfdy[indx[62], indx[30]] = 0
dfdy[indx[62], indx[31]] = 0
dfdy[indx[62], indx[32]] = 0
- dfdy[indx[62], indx[33]] = k[604]*y[:,29]
+ dfdy[indx[62], indx[33]] = 0
dfdy[indx[62], indx[34]] = 0
- dfdy[indx[62], indx[35]] = -k[603]*y[:,62]
+ dfdy[indx[62], indx[35]] = 0
dfdy[indx[62], indx[36]] = 0
dfdy[indx[62], indx[37]] = 0
dfdy[indx[62], indx[38]] = 0
@@ -7317,21 +7807,25 @@ def symjac(y, M, k):
dfdy[indx[62], indx[59]] = 0
dfdy[indx[62], indx[60]] = 0
dfdy[indx[62], indx[61]] = 0
- dfdy[indx[62], indx[62]] = -M*k[717] - k[599]*y[:,3] - k[601]*y[:,1] - k[603]*y[:,35]
- dfdy[indx[62], indx[63]] = 0
+ dfdy[indx[62], indx[62]] = -M*k[766] - k[586]*y[:,3] - k[587]*y[:,11]
+ dfdy[indx[62], indx[63]] = k[588]*y[:,3]
dfdy[indx[62], indx[64]] = 0
+ dfdy[indx[62], indx[65]] = 0
+ dfdy[indx[62], indx[66]] = 0
+ dfdy[indx[62], indx[67]] = 0
+ dfdy[indx[62], indx[68]] = 0
dfdy[indx[63], indx[0]] = 0
- dfdy[indx[63], indx[1]] = 0
+ dfdy[indx[63], indx[1]] = k[589]*y[:,64]
dfdy[indx[63], indx[2]] = 0
- dfdy[indx[63], indx[3]] = 0
+ dfdy[indx[63], indx[3]] = M*k[759]*y[:,64] - k[588]*y[:,63] - k[590]*y[:,63] + k[874]*y[:,64]
dfdy[indx[63], indx[4]] = 0
dfdy[indx[63], indx[5]] = 0
dfdy[indx[63], indx[6]] = 0
dfdy[indx[63], indx[7]] = 0
- dfdy[indx[63], indx[8]] = 0
- dfdy[indx[63], indx[9]] = 0
+ dfdy[indx[63], indx[8]] = -k[592]*y[:,63]
+ dfdy[indx[63], indx[9]] = k[591]*y[:,64]
dfdy[indx[63], indx[10]] = 0
- dfdy[indx[63], indx[11]] = 0
+ dfdy[indx[63], indx[11]] = k[587]*y[:,62]
dfdy[indx[63], indx[12]] = 0
dfdy[indx[63], indx[13]] = 0
dfdy[indx[63], indx[14]] = 0
@@ -7378,25 +7872,29 @@ def symjac(y, M, k):
dfdy[indx[63], indx[55]] = 0
dfdy[indx[63], indx[56]] = 0
dfdy[indx[63], indx[57]] = 0
- dfdy[indx[63], indx[58]] = 0
+ dfdy[indx[63], indx[58]] = 2*M*k[751]*y[:,58] + 2*k[876]*y[:,58]
dfdy[indx[63], indx[59]] = 0
dfdy[indx[63], indx[60]] = 0
dfdy[indx[63], indx[61]] = 0
- dfdy[indx[63], indx[62]] = 0
- dfdy[indx[63], indx[63]] = 0
- dfdy[indx[63], indx[64]] = 0
+ dfdy[indx[63], indx[62]] = k[587]*y[:,11]
+ dfdy[indx[63], indx[63]] = -M*k[752] - M*k[760] - k[588]*y[:,3] - k[590]*y[:,3] - k[592]*y[:,8] - k[873] - k[875]
+ dfdy[indx[63], indx[64]] = M*k[759]*y[:,3] + k[589]*y[:,1] + k[591]*y[:,9] + k[874]*y[:,3]
+ dfdy[indx[63], indx[65]] = 0
+ dfdy[indx[63], indx[66]] = 0
+ dfdy[indx[63], indx[67]] = 0
+ dfdy[indx[63], indx[68]] = 0
dfdy[indx[64], indx[0]] = 0
- dfdy[indx[64], indx[1]] = 0
+ dfdy[indx[64], indx[1]] = -k[589]*y[:,64]
dfdy[indx[64], indx[2]] = 0
- dfdy[indx[64], indx[3]] = 0
+ dfdy[indx[64], indx[3]] = -M*k[759]*y[:,64] + k[590]*y[:,63] - k[874]*y[:,64]
dfdy[indx[64], indx[4]] = 0
dfdy[indx[64], indx[5]] = 0
dfdy[indx[64], indx[6]] = 0
dfdy[indx[64], indx[7]] = 0
- dfdy[indx[64], indx[8]] = 0
- dfdy[indx[64], indx[9]] = 0
+ dfdy[indx[64], indx[8]] = k[592]*y[:,63]
+ dfdy[indx[64], indx[9]] = -k[591]*y[:,64]
dfdy[indx[64], indx[10]] = 0
- dfdy[indx[64], indx[11]] = 3*k[810]*y[:,11]**2
+ dfdy[indx[64], indx[11]] = M*k[763]*y[:,61]
dfdy[indx[64], indx[12]] = 0
dfdy[indx[64], indx[13]] = 0
dfdy[indx[64], indx[14]] = 0
@@ -7443,13 +7941,293 @@ def symjac(y, M, k):
dfdy[indx[64], indx[55]] = 0
dfdy[indx[64], indx[56]] = 0
dfdy[indx[64], indx[57]] = 0
- dfdy[indx[64], indx[58]] = 2*M*k[701]*y[:,58] + 2*k[808]*y[:,58]
+ dfdy[indx[64], indx[58]] = 0
dfdy[indx[64], indx[59]] = 0
dfdy[indx[64], indx[60]] = 0
- dfdy[indx[64], indx[61]] = 0
+ dfdy[indx[64], indx[61]] = M*k[763]*y[:,11]
dfdy[indx[64], indx[62]] = 0
- dfdy[indx[64], indx[63]] = 0
- dfdy[indx[64], indx[64]] = -M*k[702] - k[807] - k[809]
+ dfdy[indx[64], indx[63]] = M*k[760] + k[590]*y[:,3] + k[592]*y[:,8] + k[873]
+ dfdy[indx[64], indx[64]] = -M*k[759]*y[:,3] - M*k[764] - k[589]*y[:,1] - k[591]*y[:,9] - k[874]*y[:,3]
+ dfdy[indx[64], indx[65]] = 0
+ dfdy[indx[64], indx[66]] = 0
+ dfdy[indx[64], indx[67]] = 0
+ dfdy[indx[64], indx[68]] = 0
+ dfdy[indx[65], indx[0]] = k[616]*y[:,15] + k[618]*y[:,3] + k[620]*y[:,8] + 2*k[622]*y[:,0] + k[626]*y[:,33]
+ dfdy[indx[65], indx[1]] = -k[617]*y[:,65] - k[786]*y[:,65]
+ dfdy[indx[65], indx[2]] = -k[621]*y[:,65] + k[785]
+ dfdy[indx[65], indx[3]] = k[618]*y[:,0]
+ dfdy[indx[65], indx[4]] = k[624]*y[:,18] + k[632]*y[:,34] - k[868]*y[:,65]
+ dfdy[indx[65], indx[5]] = 0
+ dfdy[indx[65], indx[6]] = 0
+ dfdy[indx[65], indx[7]] = 0
+ dfdy[indx[65], indx[8]] = k[620]*y[:,0]
+ dfdy[indx[65], indx[9]] = -k[619]*y[:,65]
+ dfdy[indx[65], indx[10]] = 0
+ dfdy[indx[65], indx[11]] = 0
+ dfdy[indx[65], indx[12]] = 0
+ dfdy[indx[65], indx[13]] = 0
+ dfdy[indx[65], indx[14]] = 0
+ dfdy[indx[65], indx[15]] = k[616]*y[:,0]
+ dfdy[indx[65], indx[16]] = -k[615]*y[:,65]
+ dfdy[indx[65], indx[17]] = -k[627]*y[:,65] - k[810]*y[:,65]
+ dfdy[indx[65], indx[18]] = -k[623]*y[:,65] + k[624]*y[:,4] + k[628] + k[809]
+ dfdy[indx[65], indx[19]] = 0
+ dfdy[indx[65], indx[20]] = 0
+ dfdy[indx[65], indx[21]] = 0
+ dfdy[indx[65], indx[22]] = 0
+ dfdy[indx[65], indx[23]] = 0
+ dfdy[indx[65], indx[24]] = 0
+ dfdy[indx[65], indx[25]] = k[630]*y[:,32] + k[867]
+ dfdy[indx[65], indx[26]] = 0
+ dfdy[indx[65], indx[27]] = 0
+ dfdy[indx[65], indx[28]] = 0
+ dfdy[indx[65], indx[29]] = 0
+ dfdy[indx[65], indx[30]] = 0
+ dfdy[indx[65], indx[31]] = 0
+ dfdy[indx[65], indx[32]] = k[630]*y[:,25]
+ dfdy[indx[65], indx[33]] = k[626]*y[:,0]
+ dfdy[indx[65], indx[34]] = -k[631]*y[:,65] + k[632]*y[:,4]
+ dfdy[indx[65], indx[35]] = -k[625]*y[:,65]
+ dfdy[indx[65], indx[36]] = 0
+ dfdy[indx[65], indx[37]] = 0
+ dfdy[indx[65], indx[38]] = 0
+ dfdy[indx[65], indx[39]] = 0
+ dfdy[indx[65], indx[40]] = 0
+ dfdy[indx[65], indx[41]] = 0
+ dfdy[indx[65], indx[42]] = 0
+ dfdy[indx[65], indx[43]] = -k[629]*y[:,65]
+ dfdy[indx[65], indx[44]] = 0
+ dfdy[indx[65], indx[45]] = 0
+ dfdy[indx[65], indx[46]] = 0
+ dfdy[indx[65], indx[47]] = 0
+ dfdy[indx[65], indx[48]] = 0
+ dfdy[indx[65], indx[49]] = 0
+ dfdy[indx[65], indx[50]] = 0
+ dfdy[indx[65], indx[51]] = 0
+ dfdy[indx[65], indx[52]] = 0
+ dfdy[indx[65], indx[53]] = 0
+ dfdy[indx[65], indx[54]] = 0
+ dfdy[indx[65], indx[55]] = 0
+ dfdy[indx[65], indx[56]] = 0
+ dfdy[indx[65], indx[57]] = 0
+ dfdy[indx[65], indx[58]] = 0
+ dfdy[indx[65], indx[59]] = 0
+ dfdy[indx[65], indx[60]] = 0
+ dfdy[indx[65], indx[61]] = 0
+ dfdy[indx[65], indx[62]] = 0
+ dfdy[indx[65], indx[63]] = 0
+ dfdy[indx[65], indx[64]] = 0
+ dfdy[indx[65], indx[65]] = -k[615]*y[:,16] - k[617]*y[:,1] - k[619]*y[:,9] - k[621]*y[:,2] - k[623]*y[:,18] - k[625]*y[:,35] - k[627]*y[:,17] - k[629]*y[:,43] - k[631]*y[:,34] - k[786]*y[:,1] - k[810]*y[:,17] - k[868]*y[:,4]
+ dfdy[indx[65], indx[66]] = 0
+ dfdy[indx[65], indx[67]] = 0
+ dfdy[indx[65], indx[68]] = 0
+ dfdy[indx[66], indx[0]] = k[653]*y[:,8]
+ dfdy[indx[66], indx[1]] = -k[633]*y[:,66] - k[635]*y[:,66] + k[636]*y[:,7] - k[792]*y[:,66]
+ dfdy[indx[66], indx[2]] = -k[637]*y[:,66] + k[638]*y[:,7] - k[654]*y[:,66]
+ dfdy[indx[66], indx[3]] = k[634]*y[:,8] + k[642]*y[:,58] - 2*k[794]*y[:,3]*y[:,66] - k[800]*y[:,66]
+ dfdy[indx[66], indx[4]] = 0
+ dfdy[indx[66], indx[5]] = 0
+ dfdy[indx[66], indx[6]] = 0
+ dfdy[indx[66], indx[7]] = k[636]*y[:,1] + k[638]*y[:,2] + k[640]*y[:,17]
+ dfdy[indx[66], indx[8]] = k[634]*y[:,3] + k[653]*y[:,0] + k[799]
+ dfdy[indx[66], indx[9]] = k[791] + k[793] - k[824]*y[:,66]
+ dfdy[indx[66], indx[10]] = 0
+ dfdy[indx[66], indx[11]] = -k[641]*y[:,66]
+ dfdy[indx[66], indx[12]] = 0
+ dfdy[indx[66], indx[13]] = 0
+ dfdy[indx[66], indx[14]] = 0
+ dfdy[indx[66], indx[15]] = 0
+ dfdy[indx[66], indx[16]] = k[823]
+ dfdy[indx[66], indx[17]] = -k[639]*y[:,66] + k[640]*y[:,7]
+ dfdy[indx[66], indx[18]] = 0
+ dfdy[indx[66], indx[19]] = 0
+ dfdy[indx[66], indx[20]] = 0
+ dfdy[indx[66], indx[21]] = 0
+ dfdy[indx[66], indx[22]] = 0
+ dfdy[indx[66], indx[23]] = 0
+ dfdy[indx[66], indx[24]] = 0
+ dfdy[indx[66], indx[25]] = 0
+ dfdy[indx[66], indx[26]] = 0
+ dfdy[indx[66], indx[27]] = 0
+ dfdy[indx[66], indx[28]] = 0
+ dfdy[indx[66], indx[29]] = 0
+ dfdy[indx[66], indx[30]] = 0
+ dfdy[indx[66], indx[31]] = 0
+ dfdy[indx[66], indx[32]] = 0
+ dfdy[indx[66], indx[33]] = 0
+ dfdy[indx[66], indx[34]] = 0
+ dfdy[indx[66], indx[35]] = 0
+ dfdy[indx[66], indx[36]] = 0
+ dfdy[indx[66], indx[37]] = 0
+ dfdy[indx[66], indx[38]] = 0
+ dfdy[indx[66], indx[39]] = 0
+ dfdy[indx[66], indx[40]] = 0
+ dfdy[indx[66], indx[41]] = 0
+ dfdy[indx[66], indx[42]] = 0
+ dfdy[indx[66], indx[43]] = 0
+ dfdy[indx[66], indx[44]] = 0
+ dfdy[indx[66], indx[45]] = 0
+ dfdy[indx[66], indx[46]] = 0
+ dfdy[indx[66], indx[47]] = 0
+ dfdy[indx[66], indx[48]] = 0
+ dfdy[indx[66], indx[49]] = 0
+ dfdy[indx[66], indx[50]] = 0
+ dfdy[indx[66], indx[51]] = 0
+ dfdy[indx[66], indx[52]] = 0
+ dfdy[indx[66], indx[53]] = 0
+ dfdy[indx[66], indx[54]] = 0
+ dfdy[indx[66], indx[55]] = 0
+ dfdy[indx[66], indx[56]] = 0
+ dfdy[indx[66], indx[57]] = 0
+ dfdy[indx[66], indx[58]] = k[642]*y[:,3]
+ dfdy[indx[66], indx[59]] = 0
+ dfdy[indx[66], indx[60]] = 0
+ dfdy[indx[66], indx[61]] = 0
+ dfdy[indx[66], indx[62]] = 0
+ dfdy[indx[66], indx[63]] = 0
+ dfdy[indx[66], indx[64]] = 0
+ dfdy[indx[66], indx[65]] = 0
+ dfdy[indx[66], indx[66]] = -k[633]*y[:,1] - k[635]*y[:,1] - k[637]*y[:,2] - k[639]*y[:,17] - k[641]*y[:,11] - k[654]*y[:,2] - k[792]*y[:,1] - k[794]*y[:,3]**2 - k[800]*y[:,3] - k[824]*y[:,9]
+ dfdy[indx[66], indx[67]] = 0
+ dfdy[indx[66], indx[68]] = 0
+ dfdy[indx[67], indx[0]] = k[646]*y[:,29]
+ dfdy[indx[67], indx[1]] = -k[643]*y[:,67]
+ dfdy[indx[67], indx[2]] = -k[645]*y[:,67]
+ dfdy[indx[67], indx[3]] = k[644]*y[:,29]
+ dfdy[indx[67], indx[4]] = k[650]*y[:,32]
+ dfdy[indx[67], indx[5]] = 0
+ dfdy[indx[67], indx[6]] = 0
+ dfdy[indx[67], indx[7]] = 0
+ dfdy[indx[67], indx[8]] = 0
+ dfdy[indx[67], indx[9]] = 0
+ dfdy[indx[67], indx[10]] = 0
+ dfdy[indx[67], indx[11]] = 0
+ dfdy[indx[67], indx[12]] = 0
+ dfdy[indx[67], indx[13]] = 0
+ dfdy[indx[67], indx[14]] = 0
+ dfdy[indx[67], indx[15]] = 0
+ dfdy[indx[67], indx[16]] = 0
+ dfdy[indx[67], indx[17]] = 0
+ dfdy[indx[67], indx[18]] = 0
+ dfdy[indx[67], indx[19]] = 0
+ dfdy[indx[67], indx[20]] = 0
+ dfdy[indx[67], indx[21]] = 0
+ dfdy[indx[67], indx[22]] = 0
+ dfdy[indx[67], indx[23]] = 0
+ dfdy[indx[67], indx[24]] = 0
+ dfdy[indx[67], indx[25]] = -k[649]*y[:,67]
+ dfdy[indx[67], indx[26]] = 0
+ dfdy[indx[67], indx[27]] = 0
+ dfdy[indx[67], indx[28]] = M*k[780]
+ dfdy[indx[67], indx[29]] = k[644]*y[:,3] + k[646]*y[:,0] + k[648]*y[:,33]
+ dfdy[indx[67], indx[30]] = 0
+ dfdy[indx[67], indx[31]] = 0
+ dfdy[indx[67], indx[32]] = k[650]*y[:,4] + k[652]*y[:,34]
+ dfdy[indx[67], indx[33]] = k[648]*y[:,29]
+ dfdy[indx[67], indx[34]] = k[652]*y[:,32]
+ dfdy[indx[67], indx[35]] = -k[647]*y[:,67]
+ dfdy[indx[67], indx[36]] = 0
+ dfdy[indx[67], indx[37]] = 0
+ dfdy[indx[67], indx[38]] = 0
+ dfdy[indx[67], indx[39]] = 0
+ dfdy[indx[67], indx[40]] = 0
+ dfdy[indx[67], indx[41]] = 0
+ dfdy[indx[67], indx[42]] = 0
+ dfdy[indx[67], indx[43]] = 0
+ dfdy[indx[67], indx[44]] = -k[651]*y[:,67]
+ dfdy[indx[67], indx[45]] = 0
+ dfdy[indx[67], indx[46]] = 0
+ dfdy[indx[67], indx[47]] = 0
+ dfdy[indx[67], indx[48]] = 0
+ dfdy[indx[67], indx[49]] = 0
+ dfdy[indx[67], indx[50]] = 0
+ dfdy[indx[67], indx[51]] = 0
+ dfdy[indx[67], indx[52]] = 0
+ dfdy[indx[67], indx[53]] = 0
+ dfdy[indx[67], indx[54]] = 0
+ dfdy[indx[67], indx[55]] = 0
+ dfdy[indx[67], indx[56]] = 0
+ dfdy[indx[67], indx[57]] = 0
+ dfdy[indx[67], indx[58]] = 0
+ dfdy[indx[67], indx[59]] = 0
+ dfdy[indx[67], indx[60]] = 0
+ dfdy[indx[67], indx[61]] = 0
+ dfdy[indx[67], indx[62]] = 0
+ dfdy[indx[67], indx[63]] = 0
+ dfdy[indx[67], indx[64]] = 0
+ dfdy[indx[67], indx[65]] = 0
+ dfdy[indx[67], indx[66]] = 0
+ dfdy[indx[67], indx[67]] = -M*k[779] - k[643]*y[:,1] - k[645]*y[:,2] - k[647]*y[:,35] - k[649]*y[:,25] - k[651]*y[:,44]
+ dfdy[indx[67], indx[68]] = 0
+ dfdy[indx[68], indx[0]] = 0
+ dfdy[indx[68], indx[1]] = 0
+ dfdy[indx[68], indx[2]] = 0
+ dfdy[indx[68], indx[3]] = 0
+ dfdy[indx[68], indx[4]] = 0
+ dfdy[indx[68], indx[5]] = 0
+ dfdy[indx[68], indx[6]] = 0
+ dfdy[indx[68], indx[7]] = 0
+ dfdy[indx[68], indx[8]] = 0
+ dfdy[indx[68], indx[9]] = 0
+ dfdy[indx[68], indx[10]] = 0
+ dfdy[indx[68], indx[11]] = 0
+ dfdy[indx[68], indx[12]] = 0
+ dfdy[indx[68], indx[13]] = 0
+ dfdy[indx[68], indx[14]] = 0
+ dfdy[indx[68], indx[15]] = 0
+ dfdy[indx[68], indx[16]] = 0
+ dfdy[indx[68], indx[17]] = 0
+ dfdy[indx[68], indx[18]] = 0
+ dfdy[indx[68], indx[19]] = 0
+ dfdy[indx[68], indx[20]] = 0
+ dfdy[indx[68], indx[21]] = 0
+ dfdy[indx[68], indx[22]] = 0
+ dfdy[indx[68], indx[23]] = 0
+ dfdy[indx[68], indx[24]] = 0
+ dfdy[indx[68], indx[25]] = 0
+ dfdy[indx[68], indx[26]] = 0
+ dfdy[indx[68], indx[27]] = 0
+ dfdy[indx[68], indx[28]] = 0
+ dfdy[indx[68], indx[29]] = 0
+ dfdy[indx[68], indx[30]] = 0
+ dfdy[indx[68], indx[31]] = 0
+ dfdy[indx[68], indx[32]] = 0
+ dfdy[indx[68], indx[33]] = 0
+ dfdy[indx[68], indx[34]] = 0
+ dfdy[indx[68], indx[35]] = 0
+ dfdy[indx[68], indx[36]] = 0
+ dfdy[indx[68], indx[37]] = 0
+ dfdy[indx[68], indx[38]] = 0
+ dfdy[indx[68], indx[39]] = 0
+ dfdy[indx[68], indx[40]] = 0
+ dfdy[indx[68], indx[41]] = 0
+ dfdy[indx[68], indx[42]] = 0
+ dfdy[indx[68], indx[43]] = 0
+ dfdy[indx[68], indx[44]] = 0
+ dfdy[indx[68], indx[45]] = 0
+ dfdy[indx[68], indx[46]] = 0
+ dfdy[indx[68], indx[47]] = 0
+ dfdy[indx[68], indx[48]] = 0
+ dfdy[indx[68], indx[49]] = 0
+ dfdy[indx[68], indx[50]] = 0
+ dfdy[indx[68], indx[51]] = 0
+ dfdy[indx[68], indx[52]] = 0
+ dfdy[indx[68], indx[53]] = 0
+ dfdy[indx[68], indx[54]] = 0
+ dfdy[indx[68], indx[55]] = 0
+ dfdy[indx[68], indx[56]] = 0
+ dfdy[indx[68], indx[57]] = 0
+ dfdy[indx[68], indx[58]] = 0
+ dfdy[indx[68], indx[59]] = 0
+ dfdy[indx[68], indx[60]] = 0
+ dfdy[indx[68], indx[61]] = 0
+ dfdy[indx[68], indx[62]] = 0
+ dfdy[indx[68], indx[63]] = 0
+ dfdy[indx[68], indx[64]] = 0
+ dfdy[indx[68], indx[65]] = 0
+ dfdy[indx[68], indx[66]] = 0
+ dfdy[indx[68], indx[67]] = 0
+ dfdy[indx[68], indx[68]] = 0
return dfdy
@@ -7459,352 +8237,372 @@ def neg_symjac(y, M, k):
indx = []
for j in range(ni):
indx.append( np.arange(j,j+ni*nz,ni) )
- dfdy[indx[0], indx[0]] = -(-4*M*k[607]*y[:,0] - M*k[609]*y[:,4] - M*k[611]*y[:,2] - M*k[613]*y[:,5] - M*k[615]*y[:,8] - M*k[617]*y[:,11] - M*k[619]*y[:,13] - M*k[621]*y[:,14] - M*k[623]*y[:,15] - M*k[628]*y[:,6] - M*k[629]*y[:,7] - M*k[635]*y[:,12] - M*k[644]*y[:,20] - M*k[645]*y[:,17] - M*k[650]*y[:,20] - M*k[651]*y[:,19] - M*k[657]*y[:,21] - M*k[661]*y[:,33] - M*k[663]*y[:,30] - M*k[670]*y[:,37] - M*k[671]*y[:,31] - M*k[682]*y[:,34] - M*k[685]*y[:,32] - M*k[695]*y[:,25] - M*k[697]*y[:,56] - M*k[699]*y[:,59] - M*k[704]*y[:,10] - M*k[708]*y[:,28] - M*k[712]*y[:,38] - k[104]*y[:,17] - k[112]*y[:,17] - k[121]*y[:,19] - k[123]*y[:,20] - k[12]*y[:,8] - k[131]*y[:,21] - k[138]*y[:,20] - k[13]*y[:,9] - k[143]*y[:,23] - k[145]*y[:,23] - 4*k[148]*y[:,0]*y[:,17] - k[150]*y[:,20] - k[155]*y[:,23] - k[16]*y[:,10] - k[18]*y[:,11] - k[193]*y[:,24] - k[198]*y[:,25] - k[199]*y[:,22] - k[1]*y[:,1] - k[201]*y[:,26] - k[204]*y[:,26] - k[206]*y[:,27] - k[207]*y[:,27] - k[20]*y[:,11] - k[220]*y[:,30] - k[224]*y[:,31] - k[227]*y[:,32] - k[229]*y[:,29] - k[22]*y[:,11] - k[231]*y[:,33] - k[234]*y[:,31] - k[23]*y[:,13] - k[260]*y[:,32] - k[26]*y[:,14] - k[282]*y[:,34] - k[28]*y[:,14] - k[302]*y[:,30] - k[306]*y[:,35] - k[30]*y[:,14] - k[31]*y[:,15] - k[326]*y[:,37] - k[331]*y[:,37] - k[337]*y[:,39] - k[33]*y[:,15] - k[345]*y[:,38] - k[35]*y[:,16] - k[364]*y[:,42] - k[365]*y[:,42] - k[368]*y[:,42] - k[370]*y[:,36] - k[381]*y[:,40] - k[38]*y[:,18] - k[407]*y[:,44] - k[410]*y[:,44] - k[420]*y[:,45] - k[421]*y[:,46] - k[429]*y[:,48] - k[431]*y[:,47] - k[436]*y[:,46] - k[439]*y[:,39] - k[442]*y[:,20] - k[444]*y[:,49] - k[445]*y[:,49] - k[448]*y[:,41] - 4*k[44]*y[:,0]*y[:,11] - k[453]*y[:,41] - k[461]*y[:,50] - k[463]*y[:,50] - k[465]*y[:,50] - k[478]*y[:,51] - k[480]*y[:,51] - k[481]*y[:,42] - k[48]*y[:,13] - k[494]*y[:,41] - k[497]*y[:,52] - k[499]*y[:,52] - k[4]*y[:,2] - k[501]*y[:,52] - k[509]*y[:,53] - k[511]*y[:,53] - k[523]*y[:,36] - k[526]*y[:,54] - k[528]*y[:,54] - k[529]*y[:,55] - k[531]*y[:,55] - k[538]*y[:,57] - k[540]*y[:,57] - k[546]*y[:,56] - k[564]*y[:,54] - k[568]*y[:,58] - k[570]*y[:,59] - k[572]*y[:,59] - k[574]*y[:,58] - k[576]*y[:,2] - k[590]*y[:,8] - k[598]*y[:,58] - k[600]*y[:,29] - k[716]*y[:,51] - k[722]*y[:,2] - 4*k[726]*y[:,0]*y[:,4] - k[728]*y[:,8] - 4*k[732]*y[:,0]*y[:,61] - k[734]*y[:,3]*y[:,5] - k[738]*y[:,61] - 4*k[742]*y[:,0] - k[744]*y[:,12] - k[74]*y[:,12] - 4*k[752]*y[:,0]*y[:,11] - k[754]*y[:,13] - 4*k[758]*y[:,0]*y[:,14] - k[766]*y[:,4] - k[768]*y[:,17] - k[772]*y[:,21] - k[778]*y[:,22] - k[786]*y[:,33] - 4*k[788]*y[:,0]*y[:,29] - k[790]*y[:,30] - k[796]*y[:,39] - k[7]*y[:,5] - k[800]*y[:,51] - k[814]*y[:,5] - k[9]*y[:,7])
- dfdy[indx[0], indx[1]] = -(M*k[612] + k[146]*y[:,8] - k[1]*y[:,0] + k[441]*y[:,5] + k[466]*y[:,32] + k[500]*y[:,4] + k[512]*y[:,2] + k[721] + 2*k[725])
- dfdy[indx[0], indx[2]] = -(M*k[610] - M*k[611]*y[:,0] + k[111]*y[:,6] + k[122]*y[:,8] + k[149]*y[:,7] + k[197]*y[:,4] + k[228]*y[:,28] + k[2]*y[:,3] + k[367]*y[:,31] + k[37]*y[:,17] + k[408]*y[:,34] + k[447]*y[:,29] + k[462]*y[:,41] + k[479]*y[:,30] + 2*k[498]*y[:,2] - k[4]*y[:,0] + k[512]*y[:,1] - k[576]*y[:,0] - k[722]*y[:,0] + k[765])
- dfdy[indx[0], indx[3]] = -(2*M*k[608] + k[10]*y[:,5] + k[11]*y[:,7] + k[124]*y[:,21] + k[132]*y[:,17] + k[144]*y[:,22] + k[14]*y[:,8] + k[156]*y[:,19] + k[19]*y[:,12] + k[200]*y[:,20] + k[230]*y[:,28] + k[232]*y[:,29] + k[233]*y[:,30] + k[24]*y[:,11] + k[25]*y[:,13] + k[2]*y[:,2] + k[305]*y[:,33] + k[332]*y[:,38] + k[338]*y[:,37] + k[346]*y[:,34] + k[34]*y[:,14] + k[36]*y[:,15] + k[382]*y[:,39] + k[3]*y[:,4] + k[422]*y[:,47] + k[430]*y[:,46] + k[432]*y[:,36] + k[446]*y[:,24] + k[454]*y[:,32] + k[464]*y[:,43] + k[482]*y[:,51] + k[502]*y[:,25] + k[510]*y[:,52] + k[524]*y[:,31] + k[532]*y[:,56] + k[575]*y[:,60] + k[589]*y[:,61] + k[599]*y[:,62] - k[734]*y[:,0]*y[:,5] + k[73]*y[:,10] + 2*k[741] + k[8]*y[:,6])
- dfdy[indx[0], indx[4]] = -(-M*k[609]*y[:,0] + k[103]*y[:,5] + k[137]*y[:,8] + 2*k[147]*y[:,7] + k[197]*y[:,2] + k[203]*y[:,13] + k[205]*y[:,11] + k[259]*y[:,29] + k[3]*y[:,3] + k[443]*y[:,15] + k[477]*y[:,31] + k[493]*y[:,33] + k[500]*y[:,1] - 2*k[726]*y[:,0]**2 - k[766]*y[:,0])
- dfdy[indx[0], indx[5]] = -(-M*k[613]*y[:,0] + M*k[627] + k[103]*y[:,4] + k[10]*y[:,3] + k[15]*y[:,6] + k[219]*y[:,28] + k[21]*y[:,7] + k[27]*y[:,9] + k[441]*y[:,1] + k[571]*y[:,11] - k[734]*y[:,0]*y[:,3] - k[7]*y[:,0] - k[814]*y[:,0])
- dfdy[indx[0], indx[6]] = -(-M*k[628]*y[:,0] + k[111]*y[:,2] + k[15]*y[:,5] + k[17]*y[:,8] + k[301]*y[:,29] + k[8]*y[:,3])
- dfdy[indx[0], indx[7]] = -(M*k[614] - M*k[629]*y[:,0] + k[11]*y[:,3] + 2*k[147]*y[:,4] + k[149]*y[:,2] + k[208]*y[:,17] + k[21]*y[:,5] + k[223]*y[:,28] + k[29]*y[:,8] + k[363]*y[:,32] + 4*k[43]*y[:,7] + 2*k[47]*y[:,7] + k[567]*y[:,11] + k[569]*y[:,12] + k[813] - k[9]*y[:,0])
- dfdy[indx[0], indx[8]] = -(-M*k[615]*y[:,0] + M*k[630] + k[122]*y[:,2] - k[12]*y[:,0] + k[137]*y[:,4] + k[146]*y[:,1] + k[14]*y[:,3] + k[17]*y[:,6] + k[194]*y[:,21] + k[202]*y[:,17] + k[29]*y[:,7] + 2*k[32]*y[:,8] + k[369]*y[:,28] + k[435]*y[:,33] + k[530]*y[:,31] + k[573]*y[:,12] - k[590]*y[:,0] - k[728]*y[:,0] + k[737])
- dfdy[indx[0], indx[9]] = -(M*k[616] - k[13]*y[:,0] + k[27]*y[:,5] + k[727] + 2*k[731] + k[733])
- dfdy[indx[0], indx[10]] = -(-M*k[704]*y[:,0] - k[16]*y[:,0] + k[73]*y[:,3])
- dfdy[indx[0], indx[11]] = -(-M*k[617]*y[:,0] + M*k[636] - k[18]*y[:,0] + k[205]*y[:,4] - k[20]*y[:,0] - k[22]*y[:,0] + k[24]*y[:,3] + k[419]*y[:,12] - 2*k[44]*y[:,0]**2 + k[525]*y[:,30] + k[567]*y[:,7] + k[571]*y[:,5] + k[597]*y[:,61] + k[743] - 2*k[752]*y[:,0]**2)
- dfdy[indx[0], indx[12]] = -(-M*k[635]*y[:,0] + M*k[703] + k[19]*y[:,3] + k[419]*y[:,11] + k[527]*y[:,31] + k[569]*y[:,7] + k[573]*y[:,8] - k[744]*y[:,0] - k[74]*y[:,0])
- dfdy[indx[0], indx[13]] = -(M*k[618] - M*k[619]*y[:,0] + k[203]*y[:,4] - k[23]*y[:,0] + k[25]*y[:,3] - k[48]*y[:,0] + k[539]*y[:,31] + k[545]*y[:,28] - k[754]*y[:,0])
- dfdy[indx[0], indx[14]] = -(M*k[620] - M*k[621]*y[:,0] - k[26]*y[:,0] - k[28]*y[:,0] - k[30]*y[:,0] + k[34]*y[:,3] + k[537]*y[:,30] + 2*k[751] + k[753] - 2*k[758]*y[:,0]**2)
- dfdy[indx[0], indx[15]] = -(M*k[622] - M*k[623]*y[:,0] - k[31]*y[:,0] - k[33]*y[:,0] + k[36]*y[:,3] + k[443]*y[:,4])
- dfdy[indx[0], indx[16]] = -(M*k[624] - k[35]*y[:,0] + 2*k[757])
- dfdy[indx[0], indx[17]] = -(-M*k[645]*y[:,0] - k[104]*y[:,0] - k[112]*y[:,0] + k[132]*y[:,3] - 2*k[148]*y[:,0]**2 + k[202]*y[:,8] + k[208]*y[:,7] + k[366]*y[:,33] + k[37]*y[:,2] - k[768]*y[:,0])
- dfdy[indx[0], indx[18]] = -(-k[38]*y[:,0])
- dfdy[indx[0], indx[19]] = -(M*k[643] - M*k[651]*y[:,0] - k[121]*y[:,0] + k[156]*y[:,3])
- dfdy[indx[0], indx[20]] = -(-M*k[644]*y[:,0] - M*k[650]*y[:,0] + M*k[658] - k[123]*y[:,0] - k[138]*y[:,0] - k[150]*y[:,0] + k[200]*y[:,3] - k[442]*y[:,0] + k[771])
- dfdy[indx[0], indx[21]] = -(M*k[646] - M*k[657]*y[:,0] + k[124]*y[:,3] - k[131]*y[:,0] + k[194]*y[:,8] + k[767] - k[772]*y[:,0])
- dfdy[indx[0], indx[22]] = -(M*k[649] + k[144]*y[:,3] - k[199]*y[:,0] - k[778]*y[:,0])
- dfdy[indx[0], indx[23]] = -(M*k[652] - k[143]*y[:,0] - k[145]*y[:,0] - k[155]*y[:,0] + k[777])
- dfdy[indx[0], indx[24]] = -(-k[193]*y[:,0] + k[446]*y[:,3])
- dfdy[indx[0], indx[25]] = -(-M*k[695]*y[:,0] - k[198]*y[:,0] + k[502]*y[:,3])
- dfdy[indx[0], indx[26]] = -(-k[201]*y[:,0] - k[204]*y[:,0])
- dfdy[indx[0], indx[27]] = -(-k[206]*y[:,0] - k[207]*y[:,0])
- dfdy[indx[0], indx[28]] = -(-M*k[708]*y[:,0] + k[219]*y[:,5] + k[223]*y[:,7] + k[228]*y[:,2] + k[230]*y[:,3] + k[281]*y[:,29] + k[369]*y[:,8] + k[545]*y[:,13] + k[563]*y[:,59])
- dfdy[indx[0], indx[29]] = -(M*k[707] - k[229]*y[:,0] + k[232]*y[:,3] + k[259]*y[:,4] + k[281]*y[:,28] + k[301]*y[:,6] + k[325]*y[:,33] + k[409]*y[:,32] + k[447]*y[:,2] - k[600]*y[:,0] - 2*k[788]*y[:,0]**2)
- dfdy[indx[0], indx[30]] = -(-M*k[663]*y[:,0] - k[220]*y[:,0] + k[233]*y[:,3] - k[302]*y[:,0] + k[479]*y[:,2] + k[525]*y[:,11] + k[537]*y[:,14] - k[790]*y[:,0])
- dfdy[indx[0], indx[31]] = -(M*k[664] - M*k[671]*y[:,0] - k[224]*y[:,0] - k[234]*y[:,0] + k[367]*y[:,2] + k[477]*y[:,4] + k[524]*y[:,3] + k[527]*y[:,12] + k[530]*y[:,8] + k[539]*y[:,13] + k[789])
- dfdy[indx[0], indx[32]] = -(-M*k[685]*y[:,0] - k[227]*y[:,0] - k[260]*y[:,0] + k[363]*y[:,7] + k[409]*y[:,29] + k[454]*y[:,3] + k[466]*y[:,1])
- dfdy[indx[0], indx[33]] = -(-M*k[661]*y[:,0] - k[231]*y[:,0] + k[305]*y[:,3] + k[325]*y[:,29] + k[366]*y[:,17] + k[435]*y[:,8] + 2*k[440]*y[:,33] + k[493]*y[:,4] - k[786]*y[:,0])
- dfdy[indx[0], indx[34]] = -(-M*k[682]*y[:,0] - k[282]*y[:,0] + k[346]*y[:,3] + k[408]*y[:,2])
- dfdy[indx[0], indx[35]] = -(M*k[662] - k[306]*y[:,0] + k[785] + 2*k[787])
- dfdy[indx[0], indx[36]] = -(M*k[672] - k[370]*y[:,0] + k[432]*y[:,3] - k[523]*y[:,0])
- dfdy[indx[0], indx[37]] = -(-M*k[670]*y[:,0] + M*k[711] - k[326]*y[:,0] - k[331]*y[:,0] + k[338]*y[:,3])
- dfdy[indx[0], indx[38]] = -(M*k[681] - M*k[712]*y[:,0] + k[332]*y[:,3] - k[345]*y[:,0])
- dfdy[indx[0], indx[39]] = -(M*k[669] - k[337]*y[:,0] + k[382]*y[:,3] - k[439]*y[:,0] - k[796]*y[:,0])
- dfdy[indx[0], indx[40]] = -(-k[381]*y[:,0] + k[795])
- dfdy[indx[0], indx[41]] = -(M*k[686] - k[448]*y[:,0] - k[453]*y[:,0] + k[462]*y[:,2] - k[494]*y[:,0])
- dfdy[indx[0], indx[42]] = -(M*k[715] - k[364]*y[:,0] - k[365]*y[:,0] - k[368]*y[:,0] - k[481]*y[:,0] + k[799])
- dfdy[indx[0], indx[43]] = -(k[464]*y[:,3])
- dfdy[indx[0], indx[44]] = -(-k[407]*y[:,0] - k[410]*y[:,0])
- dfdy[indx[0], indx[45]] = -(-k[420]*y[:,0])
- dfdy[indx[0], indx[46]] = -(-k[421]*y[:,0] + k[430]*y[:,3] - k[436]*y[:,0])
- dfdy[indx[0], indx[47]] = -(k[422]*y[:,3] - k[431]*y[:,0])
- dfdy[indx[0], indx[48]] = -(-k[429]*y[:,0])
- dfdy[indx[0], indx[49]] = -(-k[444]*y[:,0] - k[445]*y[:,0])
- dfdy[indx[0], indx[50]] = -(-k[461]*y[:,0] - k[463]*y[:,0] - k[465]*y[:,0])
- dfdy[indx[0], indx[51]] = -(-k[478]*y[:,0] - k[480]*y[:,0] + k[482]*y[:,3] - k[716]*y[:,0] - k[800]*y[:,0])
- dfdy[indx[0], indx[52]] = -(M*k[696] - k[497]*y[:,0] - k[499]*y[:,0] - k[501]*y[:,0] + k[510]*y[:,3])
- dfdy[indx[0], indx[53]] = -(-k[509]*y[:,0] - k[511]*y[:,0])
- dfdy[indx[0], indx[54]] = -(-k[526]*y[:,0] - k[528]*y[:,0] - k[564]*y[:,0])
- dfdy[indx[0], indx[55]] = -(M*k[698] - k[529]*y[:,0] - k[531]*y[:,0])
- dfdy[indx[0], indx[56]] = -(-M*k[697]*y[:,0] + k[532]*y[:,3] - k[546]*y[:,0])
- dfdy[indx[0], indx[57]] = -(-k[538]*y[:,0] - k[540]*y[:,0])
- dfdy[indx[0], indx[58]] = -(M*k[700] - k[568]*y[:,0] - k[574]*y[:,0] - k[598]*y[:,0])
- dfdy[indx[0], indx[59]] = -(-M*k[699]*y[:,0] + k[563]*y[:,28] - k[570]*y[:,0] - k[572]*y[:,0])
- dfdy[indx[0], indx[60]] = -(k[575]*y[:,3])
- dfdy[indx[0], indx[61]] = -(k[589]*y[:,3] + k[597]*y[:,11] - 2*k[732]*y[:,0]**2 - k[738]*y[:,0])
- dfdy[indx[0], indx[62]] = -(k[599]*y[:,3])
+ dfdy[indx[0], indx[0]] = -(-M*k[660] - M*k[661]*y[:,3] - M*k[703]*y[:,11] - M*k[737]*y[:,32] - 4*M*k[743]*y[:,0] - M*k[781]*y[:,8] - k[102]*y[:,6] - k[106]*y[:,7] - k[107]*y[:,8] - k[110]*y[:,15] - k[111]*y[:,6] - k[113]*y[:,7] - k[115]*y[:,9] - k[117]*y[:,13] - k[119]*y[:,15] - k[122]*y[:,8] - k[133]*y[:,21] - k[140]*y[:,20] - k[141]*y[:,22] - k[149]*y[:,7] - k[168]*y[:,11] - k[178]*y[:,14] - k[197]*y[:,4] - k[1]*y[:,1] - k[210]*y[:,21] - k[227]*y[:,28] - k[258]*y[:,28] - k[262]*y[:,33] - k[263]*y[:,29] - k[265]*y[:,30] - k[267]*y[:,31] - k[269]*y[:,31] - k[271]*y[:,29] - k[273]*y[:,33] - k[296]*y[:,34] - k[311]*y[:,35] - k[333]*y[:,36] - k[338]*y[:,36] - k[339]*y[:,38] - k[345]*y[:,37] - k[348]*y[:,34] - k[352]*y[:,37] - k[356]*y[:,37] - k[359]*y[:,41] - k[365]*y[:,31] - k[378]*y[:,41] - k[37]*y[:,17] - k[388]*y[:,20] - k[396]*y[:,32] - k[400]*y[:,40] - k[406]*y[:,34] - k[425]*y[:,46] - k[445]*y[:,29] - k[447]*y[:,40] - k[450]*y[:,32] - k[457]*y[:,50] - k[460]*y[:,40] - k[477]*y[:,30] - k[482]*y[:,51] - k[483]*y[:,42] - 4*k[496]*y[:,0] - k[4]*y[:,3] - k[502]*y[:,18] - k[504]*y[:,52] - k[505]*y[:,53] - k[510]*y[:,2] - k[512]*y[:,25] - k[519]*y[:,52] - k[531]*y[:,55] - k[534]*y[:,56] - k[53]*y[:,8] - k[557]*y[:,58] - k[55]*y[:,12] - k[560]*y[:,58] - k[599]*y[:,23] - k[601]*y[:,23] - k[604]*y[:,43] - k[616]*y[:,15] - k[618]*y[:,3] - k[620]*y[:,8] - 4*k[622]*y[:,0] - k[626]*y[:,33] - k[646]*y[:,29] - k[653]*y[:,8] - 4*k[6]*y[:,0] - k[71]*y[:,11] - k[784]*y[:,3] - k[827] - k[836]*y[:,8] - k[83]*y[:,12] - k[864]*y[:,4] - k[86]*y[:,11] - k[878]*y[:,32] - k[93]*y[:,14] - k[99]*y[:,16])
+ dfdy[indx[0], indx[1]] = -(-k[1]*y[:,0] + k[3]*y[:,4] + k[617]*y[:,65])
+ dfdy[indx[0], indx[2]] = -(M*k[662] + k[100]*y[:,15] + k[114]*y[:,5] + k[116]*y[:,8] + k[118]*y[:,11] + k[120]*y[:,14] + k[134]*y[:,17] + k[142]*y[:,20] + k[264]*y[:,28] + k[268]*y[:,30] + k[274]*y[:,29] + k[2]*y[:,3] + k[312]*y[:,33] + k[334]*y[:,37] + k[340]*y[:,36] + k[346]*y[:,34] + k[360]*y[:,31] + k[448]*y[:,32] + k[458]*y[:,43] + k[484]*y[:,51] + k[506]*y[:,52] - k[510]*y[:,0] + k[520]*y[:,25] + k[532]*y[:,56] + k[54]*y[:,7] + 2*k[5]*y[:,4] + k[600]*y[:,22] + k[602]*y[:,19] + 2*k[621]*y[:,65] + k[645]*y[:,67] + k[654]*y[:,66] + k[783] + k[85]*y[:,12] + k[94]*y[:,13])
+ dfdy[indx[0], indx[3]] = -(M*k[659]*y[:,4] - M*k[661]*y[:,0] + k[112]*y[:,17] + k[121]*y[:,19] + k[150]*y[:,20] + k[198]*y[:,25] + k[228]*y[:,32] + k[2]*y[:,2] + k[366]*y[:,42] + k[38]*y[:,18] + k[405]*y[:,44] + k[446]*y[:,40] + k[459]*y[:,50] + k[478]*y[:,51] + 2*k[495]*y[:,52] - k[4]*y[:,0] + k[509]*y[:,53] - k[618]*y[:,0] - k[784]*y[:,0] + k[828]*y[:,4])
+ dfdy[indx[0], indx[4]] = -(M*k[659]*y[:,3] + k[101]*y[:,5] + k[105]*y[:,8] + k[108]*y[:,9] + k[109]*y[:,16] + k[139]*y[:,22] + k[167]*y[:,13] - k[197]*y[:,0] + k[209]*y[:,20] + k[257]*y[:,29] + k[261]*y[:,35] + k[266]*y[:,31] + k[272]*y[:,33] + k[337]*y[:,38] + k[347]*y[:,37] + k[355]*y[:,36] + k[3]*y[:,1] + k[449]*y[:,40] + k[481]*y[:,42] + k[503]*y[:,53] + k[511]*y[:,52] + k[533]*y[:,55] + 2*k[5]*y[:,2] + k[828]*y[:,3] + k[84]*y[:,11] - k[864]*y[:,0])
+ dfdy[indx[0], indx[5]] = -(k[101]*y[:,4] + k[114]*y[:,2])
+ dfdy[indx[0], indx[6]] = -(-k[102]*y[:,0] - k[111]*y[:,0])
+ dfdy[indx[0], indx[7]] = -(-k[106]*y[:,0] - k[113]*y[:,0] - k[149]*y[:,0] + k[177]*y[:,19] + k[54]*y[:,2] + k[56]*y[:,17])
+ dfdy[indx[0], indx[8]] = -(-M*k[781]*y[:,0] + k[105]*y[:,4] - k[107]*y[:,0] + k[116]*y[:,2] - k[122]*y[:,0] + k[377]*y[:,32] + k[387]*y[:,25] - k[53]*y[:,0] - k[620]*y[:,0] - k[653]*y[:,0] + k[72]*y[:,17] - k[836]*y[:,0])
+ dfdy[indx[0], indx[9]] = -(k[108]*y[:,4] - k[115]*y[:,0] + k[619]*y[:,65])
+ dfdy[indx[0], indx[10]] = -(0)
+ dfdy[indx[0], indx[11]] = -(-M*k[703]*y[:,0] + k[118]*y[:,2] - k[168]*y[:,0] - k[71]*y[:,0] + k[84]*y[:,4] - k[86]*y[:,0])
+ dfdy[indx[0], indx[12]] = -(k[559]*y[:,19] - k[55]*y[:,0] - k[83]*y[:,0] + k[85]*y[:,2])
+ dfdy[indx[0], indx[13]] = -(-k[117]*y[:,0] + k[167]*y[:,4] + k[558]*y[:,21] + k[94]*y[:,2])
+ dfdy[indx[0], indx[14]] = -(k[120]*y[:,2] - k[178]*y[:,0] - k[93]*y[:,0])
+ dfdy[indx[0], indx[15]] = -(k[100]*y[:,2] - k[110]*y[:,0] - k[119]*y[:,0] - k[616]*y[:,0])
+ dfdy[indx[0], indx[16]] = -(k[109]*y[:,4] + k[615]*y[:,65] - k[99]*y[:,0])
+ dfdy[indx[0], indx[17]] = -(k[112]*y[:,3] + k[134]*y[:,2] + k[270]*y[:,33] - k[37]*y[:,0] + k[501]*y[:,52] + k[56]*y[:,7] + k[72]*y[:,8])
+ dfdy[indx[0], indx[18]] = -(k[38]*y[:,3] - k[502]*y[:,0])
+ dfdy[indx[0], indx[19]] = -(k[121]*y[:,3] + k[177]*y[:,7] + k[426]*y[:,33] + k[559]*y[:,12] + k[602]*y[:,2])
+ dfdy[indx[0], indx[20]] = -(-k[140]*y[:,0] + k[142]*y[:,2] + k[150]*y[:,3] + k[209]*y[:,4] - k[388]*y[:,0])
+ dfdy[indx[0], indx[21]] = -(-k[133]*y[:,0] - k[210]*y[:,0] + k[558]*y[:,13])
+ dfdy[indx[0], indx[22]] = -(k[139]*y[:,4] - k[141]*y[:,0] + k[600]*y[:,2])
+ dfdy[indx[0], indx[23]] = -(M*k[782] - k[599]*y[:,0] - k[601]*y[:,0] + k[835])
+ dfdy[indx[0], indx[24]] = -(M*k[704])
+ dfdy[indx[0], indx[25]] = -(k[198]*y[:,3] + k[387]*y[:,8] + k[395]*y[:,29] + k[399]*y[:,33] - k[512]*y[:,0] + k[520]*y[:,2])
+ dfdy[indx[0], indx[26]] = -(0)
+ dfdy[indx[0], indx[27]] = -(0)
+ dfdy[indx[0], indx[28]] = -(-k[227]*y[:,0] - k[258]*y[:,0] + k[264]*y[:,2])
+ dfdy[indx[0], indx[29]] = -(k[257]*y[:,4] - k[263]*y[:,0] - k[271]*y[:,0] + k[274]*y[:,2] + k[295]*y[:,32] + k[395]*y[:,25] - k[445]*y[:,0] - k[646]*y[:,0])
+ dfdy[indx[0], indx[30]] = -(-k[265]*y[:,0] + k[268]*y[:,2] - k[477]*y[:,0])
+ dfdy[indx[0], indx[31]] = -(k[266]*y[:,4] - k[267]*y[:,0] - k[269]*y[:,0] + k[360]*y[:,2] - k[365]*y[:,0])
+ dfdy[indx[0], indx[32]] = -(-M*k[737]*y[:,0] + k[228]*y[:,3] + k[295]*y[:,29] + k[351]*y[:,33] + k[377]*y[:,8] - k[396]*y[:,0] + k[448]*y[:,2] - k[450]*y[:,0] + k[603]*y[:,52] - k[878]*y[:,0])
+ dfdy[indx[0], indx[33]] = -(-k[262]*y[:,0] + k[270]*y[:,17] + k[272]*y[:,4] - k[273]*y[:,0] + k[312]*y[:,2] + k[351]*y[:,32] + k[399]*y[:,25] + k[426]*y[:,19] - k[626]*y[:,0])
+ dfdy[indx[0], indx[34]] = -(-k[296]*y[:,0] + k[346]*y[:,2] - k[348]*y[:,0] - k[406]*y[:,0])
+ dfdy[indx[0], indx[35]] = -(k[261]*y[:,4] - k[311]*y[:,0] + k[625]*y[:,65])
+ dfdy[indx[0], indx[36]] = -(-k[333]*y[:,0] - k[338]*y[:,0] + k[340]*y[:,2] + k[355]*y[:,4])
+ dfdy[indx[0], indx[37]] = -(k[334]*y[:,2] - k[345]*y[:,0] + k[347]*y[:,4] - k[352]*y[:,0] - k[356]*y[:,0])
+ dfdy[indx[0], indx[38]] = -(k[337]*y[:,4] - k[339]*y[:,0])
+ dfdy[indx[0], indx[39]] = -(0)
+ dfdy[indx[0], indx[40]] = -(-k[400]*y[:,0] + k[446]*y[:,3] - k[447]*y[:,0] + k[449]*y[:,4] - k[460]*y[:,0])
+ dfdy[indx[0], indx[41]] = -(-k[359]*y[:,0] - k[378]*y[:,0])
+ dfdy[indx[0], indx[42]] = -(k[366]*y[:,3] + k[481]*y[:,4] - k[483]*y[:,0])
+ dfdy[indx[0], indx[43]] = -(k[458]*y[:,2] - k[604]*y[:,0])
+ dfdy[indx[0], indx[44]] = -(k[405]*y[:,3])
+ dfdy[indx[0], indx[45]] = -(0)
+ dfdy[indx[0], indx[46]] = -(-k[425]*y[:,0])
+ dfdy[indx[0], indx[47]] = -(0)
+ dfdy[indx[0], indx[48]] = -(0)
+ dfdy[indx[0], indx[49]] = -(0)
+ dfdy[indx[0], indx[50]] = -(M*k[738] - k[457]*y[:,0] + k[459]*y[:,3] + k[877])
+ dfdy[indx[0], indx[51]] = -(k[478]*y[:,3] - k[482]*y[:,0] + k[484]*y[:,2])
+ dfdy[indx[0], indx[52]] = -(2*k[495]*y[:,3] + k[501]*y[:,17] - k[504]*y[:,0] + k[506]*y[:,2] + k[511]*y[:,4] - k[519]*y[:,0] + k[603]*y[:,32] + k[863])
+ dfdy[indx[0], indx[53]] = -(2*M*k[744] + k[503]*y[:,4] - k[505]*y[:,0] + k[509]*y[:,3])
+ dfdy[indx[0], indx[54]] = -(0)
+ dfdy[indx[0], indx[55]] = -(-k[531]*y[:,0] + k[533]*y[:,4])
+ dfdy[indx[0], indx[56]] = -(k[532]*y[:,2] - k[534]*y[:,0])
+ dfdy[indx[0], indx[57]] = -(0)
+ dfdy[indx[0], indx[58]] = -(-k[557]*y[:,0] - k[560]*y[:,0])
+ dfdy[indx[0], indx[59]] = -(0)
+ dfdy[indx[0], indx[60]] = -(0)
+ dfdy[indx[0], indx[61]] = -(0)
+ dfdy[indx[0], indx[62]] = -(0)
dfdy[indx[0], indx[63]] = -(0)
dfdy[indx[0], indx[64]] = -(0)
- dfdy[indx[1], indx[0]] = -(M*k[611]*y[:,2] + k[145]*y[:,23] - k[1]*y[:,1] + k[442]*y[:,20] + k[465]*y[:,50] + k[499]*y[:,52] + k[511]*y[:,53] + k[722]*y[:,2] + 2*k[726]*y[:,0]*y[:,4])
- dfdy[indx[1], indx[1]] = -(-M*k[612] - M*k[647]*y[:,5] - k[100]*y[:,15] - k[114]*y[:,5] - k[116]*y[:,8] - k[118]*y[:,11] - k[120]*y[:,14] - k[134]*y[:,17] - k[142]*y[:,20] - k[146]*y[:,8] - k[1]*y[:,0] - k[264]*y[:,28] - k[268]*y[:,30] - k[274]*y[:,29] - k[294]*y[:,31] - k[298]*y[:,34] - k[311]*y[:,33] - k[336]*y[:,38] - k[342]*y[:,37] - k[348]*y[:,34] - k[362]*y[:,31] - k[388]*y[:,17] - k[412]*y[:,44] - k[414]*y[:,44] - k[441]*y[:,5] - k[450]*y[:,32] - k[460]*y[:,43] - k[466]*y[:,32] - k[486]*y[:,51] - k[496]*y[:,29] - k[500]*y[:,4] - k[508]*y[:,52] - k[512]*y[:,2] - k[522]*y[:,25] - k[534]*y[:,56] - k[54]*y[:,7] - k[579]*y[:,60] - k[5]*y[:,4] - k[601]*y[:,62] - k[721] - k[723] - k[725] - k[85]*y[:,12] - k[94]*y[:,13])
- dfdy[indx[1], indx[2]] = -(M*k[611]*y[:,0] + k[113]*y[:,7] + k[115]*y[:,9] + k[117]*y[:,13] + k[119]*y[:,15] + k[133]*y[:,21] + k[141]*y[:,22] + k[263]*y[:,29] + k[267]*y[:,31] + k[273]*y[:,33] + k[2]*y[:,3] + k[312]*y[:,35] + k[335]*y[:,37] + k[341]*y[:,39] + k[347]*y[:,38] + k[361]*y[:,36] + k[449]*y[:,41] + k[459]*y[:,50] + k[485]*y[:,42] + k[507]*y[:,53] - k[512]*y[:,1] + k[521]*y[:,52] + k[533]*y[:,55] + k[53]*y[:,8] + 2*k[580]*y[:,2] + k[602]*y[:,29] + 2*k[6]*y[:,2] + k[722]*y[:,0] + k[86]*y[:,11] + k[93]*y[:,14] + k[99]*y[:,16])
- dfdy[indx[1], indx[3]] = -(k[2]*y[:,2] + k[495]*y[:,41] + k[724]*y[:,60])
- dfdy[indx[1], indx[4]] = -(-k[500]*y[:,1] - k[5]*y[:,1] + k[726]*y[:,0]**2)
- dfdy[indx[1], indx[5]] = -(-M*k[647]*y[:,1] - k[114]*y[:,1] - k[441]*y[:,1])
- dfdy[indx[1], indx[6]] = -(0)
- dfdy[indx[1], indx[7]] = -(k[113]*y[:,2] + k[387]*y[:,25] - k[54]*y[:,1])
- dfdy[indx[1], indx[8]] = -(-k[116]*y[:,1] - k[146]*y[:,1] + k[293]*y[:,32] + k[53]*y[:,2])
- dfdy[indx[1], indx[9]] = -(k[115]*y[:,2])
- dfdy[indx[1], indx[10]] = -(0)
- dfdy[indx[1], indx[11]] = -(-k[118]*y[:,1] + k[86]*y[:,2])
- dfdy[indx[1], indx[12]] = -(-k[85]*y[:,1])
- dfdy[indx[1], indx[13]] = -(k[117]*y[:,2] - k[94]*y[:,1])
- dfdy[indx[1], indx[14]] = -(-k[120]*y[:,1] + k[93]*y[:,2])
- dfdy[indx[1], indx[15]] = -(-k[100]*y[:,1] + k[119]*y[:,2])
- dfdy[indx[1], indx[16]] = -(k[99]*y[:,2])
- dfdy[indx[1], indx[17]] = -(-k[134]*y[:,1] - k[388]*y[:,1])
+ dfdy[indx[0], indx[65]] = -(k[615]*y[:,16] + k[617]*y[:,1] + k[619]*y[:,9] + 2*k[621]*y[:,2] + k[625]*y[:,35])
+ dfdy[indx[0], indx[66]] = -(k[654]*y[:,2])
+ dfdy[indx[0], indx[67]] = -(k[645]*y[:,2])
+ dfdy[indx[0], indx[68]] = -(0)
+ dfdy[indx[1], indx[0]] = -(-k[1]*y[:,1] + k[4]*y[:,3] + k[618]*y[:,3])
+ dfdy[indx[1], indx[1]] = -(-M*k[658] - M*k[675]*y[:,6] - M*k[681]*y[:,5] - M*k[688]*y[:,11] - M*k[690]*y[:,14] - M*k[709]*y[:,17] - M*k[715]*y[:,28] - k[10]*y[:,5] - k[11]*y[:,7] - k[124]*y[:,21] - k[132]*y[:,17] - k[144]*y[:,22] - k[14]*y[:,8] - k[156]*y[:,19] - k[174]*y[:,17] - k[19]*y[:,12] - k[1]*y[:,0] - k[200]*y[:,20] - k[230]*y[:,28] - k[232]*y[:,29] - k[233]*y[:,30] - k[24]*y[:,11] - k[25]*y[:,13] - k[304]*y[:,34] - k[305]*y[:,33] - k[310]*y[:,32] - k[330]*y[:,37] - k[336]*y[:,36] - k[344]*y[:,34] - k[34]*y[:,14] - k[36]*y[:,15] - k[370]*y[:,31] - k[376]*y[:,36] - k[380]*y[:,38] - k[3]*y[:,4] - k[40]*y[:,11] - k[420]*y[:,47] - k[428]*y[:,46] - k[430]*y[:,41] - k[432]*y[:,47] - k[444]*y[:,24] - k[452]*y[:,32] - k[462]*y[:,43] - k[480]*y[:,51] - k[493]*y[:,40] - k[500]*y[:,25] - k[508]*y[:,52] - k[522]*y[:,31] - k[530]*y[:,56] - k[552]*y[:,37] - k[562]*y[:,54] - k[566]*y[:,59] - k[576]*y[:,38] - k[589]*y[:,64] - k[617]*y[:,65] - k[633]*y[:,66] - k[643]*y[:,67] - k[73]*y[:,10] - k[786]*y[:,65] - k[792]*y[:,66] - k[796]*y[:,3]*y[:,5] - k[798]*y[:,5] - k[803] - k[812]*y[:,11] - k[818]*y[:,14] - 4*k[822]*y[:,11]*y[:,1] - k[832]*y[:,17] - k[838]*y[:,20] - k[8]*y[:,6])
+ dfdy[indx[1], indx[2]] = -(k[2]*y[:,3] + k[494]*y[:,29] + k[785])
+ dfdy[indx[1], indx[3]] = -(2*M*k[657]*y[:,3] + k[123]*y[:,20] + k[12]*y[:,8] + k[131]*y[:,21] + k[13]*y[:,9] + k[143]*y[:,23] + k[155]*y[:,23] + k[199]*y[:,22] + k[20]*y[:,11] + k[229]*y[:,29] + k[231]*y[:,33] + k[234]*y[:,31] + k[23]*y[:,13] + k[26]*y[:,14] + k[2]*y[:,2] + k[306]*y[:,35] + k[329]*y[:,36] + k[335]*y[:,38] + k[33]*y[:,15] + k[343]*y[:,37] + k[35]*y[:,16] + k[379]*y[:,39] + k[419]*y[:,46] + k[427]*y[:,48] + k[429]*y[:,47] + k[443]*y[:,49] + k[451]*y[:,40] + k[461]*y[:,50] + k[479]*y[:,42] + k[499]*y[:,52] + k[4]*y[:,0] + k[507]*y[:,53] + k[521]*y[:,41] + k[529]*y[:,55] + k[590]*y[:,63] + k[618]*y[:,0] + k[634]*y[:,8] + k[644]*y[:,29] + k[74]*y[:,12] - k[796]*y[:,1]*y[:,5] + k[7]*y[:,5] + 2*k[804]*y[:,3] + k[9]*y[:,7])
+ dfdy[indx[1], indx[4]] = -(k[173]*y[:,7] + k[309]*y[:,33] - k[3]*y[:,1])
+ dfdy[indx[1], indx[5]] = -(-M*k[681]*y[:,1] - k[10]*y[:,1] + k[39]*y[:,8] - k[796]*y[:,1]*y[:,3] - k[798]*y[:,1] + k[7]*y[:,3])
+ dfdy[indx[1], indx[6]] = -(-M*k[675]*y[:,1] - k[8]*y[:,1])
+ dfdy[indx[1], indx[7]] = -(M*k[676] - k[11]*y[:,1] + k[173]*y[:,4] + k[565]*y[:,11] + k[9]*y[:,3])
+ dfdy[indx[1], indx[8]] = -(M*k[682] + k[12]*y[:,3] - k[14]*y[:,1] + k[369]*y[:,28] + k[39]*y[:,5] + k[431]*y[:,33] + k[634]*y[:,3] + k[797])
+ dfdy[indx[1], indx[9]] = -(k[13]*y[:,3] + k[791] + k[795])
+ dfdy[indx[1], indx[10]] = -(-k[73]*y[:,1])
+ dfdy[indx[1], indx[11]] = -(-M*k[688]*y[:,1] + k[20]*y[:,3] - k[24]*y[:,1] - k[40]*y[:,1] + k[565]*y[:,7] - k[812]*y[:,1] - 2*k[822]*y[:,1]**2)
+ dfdy[indx[1], indx[12]] = -(-k[19]*y[:,1] + k[74]*y[:,3])
+ dfdy[indx[1], indx[13]] = -(k[23]*y[:,3] - k[25]*y[:,1])
+ dfdy[indx[1], indx[14]] = -(M*k[687] - M*k[690]*y[:,1] + k[26]*y[:,3] - k[34]*y[:,1] + k[811] - k[818]*y[:,1])
+ dfdy[indx[1], indx[15]] = -(k[33]*y[:,3] - k[36]*y[:,1])
+ dfdy[indx[1], indx[16]] = -(M*k[689] + k[35]*y[:,3] + k[817] + 2*k[821])
+ dfdy[indx[1], indx[17]] = -(-M*k[709]*y[:,1] - k[132]*y[:,1] - k[174]*y[:,1] - k[832]*y[:,1])
dfdy[indx[1], indx[18]] = -(0)
- dfdy[indx[1], indx[19]] = -(M*k[648])
- dfdy[indx[1], indx[20]] = -(-k[142]*y[:,1] + k[442]*y[:,0])
- dfdy[indx[1], indx[21]] = -(k[133]*y[:,2])
- dfdy[indx[1], indx[22]] = -(k[141]*y[:,2])
- dfdy[indx[1], indx[23]] = -(k[145]*y[:,0])
- dfdy[indx[1], indx[24]] = -(0)
- dfdy[indx[1], indx[25]] = -(k[387]*y[:,7] - k[522]*y[:,1])
+ dfdy[indx[1], indx[19]] = -(-k[156]*y[:,1])
+ dfdy[indx[1], indx[20]] = -(M*k[710] + k[123]*y[:,3] - k[200]*y[:,1] + k[831] - k[838]*y[:,1])
+ dfdy[indx[1], indx[21]] = -(-k[124]*y[:,1] + k[131]*y[:,3])
+ dfdy[indx[1], indx[22]] = -(-k[144]*y[:,1] + k[199]*y[:,3])
+ dfdy[indx[1], indx[23]] = -(k[143]*y[:,3] + k[155]*y[:,3] + k[837])
+ dfdy[indx[1], indx[24]] = -(-k[444]*y[:,1])
+ dfdy[indx[1], indx[25]] = -(-k[500]*y[:,1])
dfdy[indx[1], indx[26]] = -(0)
dfdy[indx[1], indx[27]] = -(0)
- dfdy[indx[1], indx[28]] = -(-k[264]*y[:,1])
- dfdy[indx[1], indx[29]] = -(k[263]*y[:,2] - k[274]*y[:,1] - k[496]*y[:,1] + k[602]*y[:,2])
- dfdy[indx[1], indx[30]] = -(-k[268]*y[:,1])
- dfdy[indx[1], indx[31]] = -(k[267]*y[:,2] - k[294]*y[:,1] - k[362]*y[:,1])
- dfdy[indx[1], indx[32]] = -(k[293]*y[:,8] + k[297]*y[:,33] - k[450]*y[:,1] - k[466]*y[:,1])
- dfdy[indx[1], indx[33]] = -(k[273]*y[:,2] + k[297]*y[:,32] - k[311]*y[:,1] + k[411]*y[:,43])
- dfdy[indx[1], indx[34]] = -(-k[298]*y[:,1] - k[348]*y[:,1])
- dfdy[indx[1], indx[35]] = -(k[312]*y[:,2])
- dfdy[indx[1], indx[36]] = -(k[361]*y[:,2])
- dfdy[indx[1], indx[37]] = -(k[335]*y[:,2] - k[342]*y[:,1])
- dfdy[indx[1], indx[38]] = -(-k[336]*y[:,1] + k[347]*y[:,2])
- dfdy[indx[1], indx[39]] = -(k[341]*y[:,2])
- dfdy[indx[1], indx[40]] = -(0)
- dfdy[indx[1], indx[41]] = -(2*k[413]*y[:,41] + k[449]*y[:,2] + k[495]*y[:,3])
- dfdy[indx[1], indx[42]] = -(k[485]*y[:,2])
- dfdy[indx[1], indx[43]] = -(k[411]*y[:,33] - k[460]*y[:,1])
- dfdy[indx[1], indx[44]] = -(-k[412]*y[:,1] - k[414]*y[:,1])
+ dfdy[indx[1], indx[28]] = -(-M*k[715]*y[:,1] - k[230]*y[:,1] + k[369]*y[:,8] + k[551]*y[:,35] + k[561]*y[:,58])
+ dfdy[indx[1], indx[29]] = -(k[229]*y[:,3] - k[232]*y[:,1] + 2*k[303]*y[:,29] + k[494]*y[:,2] + k[644]*y[:,3])
+ dfdy[indx[1], indx[30]] = -(-k[233]*y[:,1])
+ dfdy[indx[1], indx[31]] = -(k[234]*y[:,3] - k[370]*y[:,1] - k[522]*y[:,1])
+ dfdy[indx[1], indx[32]] = -(-k[310]*y[:,1] - k[452]*y[:,1])
+ dfdy[indx[1], indx[33]] = -(M*k[716] + k[231]*y[:,3] - k[305]*y[:,1] + k[309]*y[:,4] + 2*k[375]*y[:,33] + k[431]*y[:,8] + k[575]*y[:,35])
+ dfdy[indx[1], indx[34]] = -(-k[304]*y[:,1] - k[344]*y[:,1])
+ dfdy[indx[1], indx[35]] = -(k[306]*y[:,3] + k[551]*y[:,28] + k[575]*y[:,33])
+ dfdy[indx[1], indx[36]] = -(k[329]*y[:,3] - k[336]*y[:,1] - k[376]*y[:,1])
+ dfdy[indx[1], indx[37]] = -(-k[330]*y[:,1] + k[343]*y[:,3] - k[552]*y[:,1])
+ dfdy[indx[1], indx[38]] = -(k[335]*y[:,3] - k[380]*y[:,1] - k[576]*y[:,1])
+ dfdy[indx[1], indx[39]] = -(k[379]*y[:,3])
+ dfdy[indx[1], indx[40]] = -(k[451]*y[:,3] - k[493]*y[:,1])
+ dfdy[indx[1], indx[41]] = -(-k[430]*y[:,1] + k[521]*y[:,3])
+ dfdy[indx[1], indx[42]] = -(k[479]*y[:,3])
+ dfdy[indx[1], indx[43]] = -(-k[462]*y[:,1])
+ dfdy[indx[1], indx[44]] = -(0)
dfdy[indx[1], indx[45]] = -(0)
- dfdy[indx[1], indx[46]] = -(0)
- dfdy[indx[1], indx[47]] = -(0)
- dfdy[indx[1], indx[48]] = -(0)
- dfdy[indx[1], indx[49]] = -(0)
- dfdy[indx[1], indx[50]] = -(k[459]*y[:,2] + k[465]*y[:,0])
- dfdy[indx[1], indx[51]] = -(-k[486]*y[:,1])
- dfdy[indx[1], indx[52]] = -(k[499]*y[:,0] - k[508]*y[:,1] + k[521]*y[:,2])
- dfdy[indx[1], indx[53]] = -(k[507]*y[:,2] + k[511]*y[:,0])
- dfdy[indx[1], indx[54]] = -(0)
- dfdy[indx[1], indx[55]] = -(k[533]*y[:,2])
- dfdy[indx[1], indx[56]] = -(-k[534]*y[:,1])
+ dfdy[indx[1], indx[46]] = -(k[419]*y[:,3] - k[428]*y[:,1])
+ dfdy[indx[1], indx[47]] = -(-k[420]*y[:,1] + k[429]*y[:,3] - k[432]*y[:,1])
+ dfdy[indx[1], indx[48]] = -(k[427]*y[:,3])
+ dfdy[indx[1], indx[49]] = -(k[443]*y[:,3])
+ dfdy[indx[1], indx[50]] = -(k[461]*y[:,3])
+ dfdy[indx[1], indx[51]] = -(-k[480]*y[:,1])
+ dfdy[indx[1], indx[52]] = -(k[499]*y[:,3] - k[508]*y[:,1])
+ dfdy[indx[1], indx[53]] = -(k[507]*y[:,3])
+ dfdy[indx[1], indx[54]] = -(-k[562]*y[:,1])
+ dfdy[indx[1], indx[55]] = -(k[529]*y[:,3])
+ dfdy[indx[1], indx[56]] = -(-k[530]*y[:,1])
dfdy[indx[1], indx[57]] = -(0)
- dfdy[indx[1], indx[58]] = -(0)
- dfdy[indx[1], indx[59]] = -(0)
- dfdy[indx[1], indx[60]] = -(-k[579]*y[:,1] + k[724]*y[:,3])
+ dfdy[indx[1], indx[58]] = -(k[561]*y[:,28])
+ dfdy[indx[1], indx[59]] = -(-k[566]*y[:,1])
+ dfdy[indx[1], indx[60]] = -(0)
dfdy[indx[1], indx[61]] = -(0)
- dfdy[indx[1], indx[62]] = -(-k[601]*y[:,1])
- dfdy[indx[1], indx[63]] = -(0)
- dfdy[indx[1], indx[64]] = -(0)
- dfdy[indx[2], indx[0]] = -(M*k[609]*y[:,4] - M*k[611]*y[:,2] + k[112]*y[:,17] + k[121]*y[:,19] + k[150]*y[:,20] + k[198]*y[:,25] + k[1]*y[:,1] + k[227]*y[:,32] + k[368]*y[:,42] + k[38]*y[:,18] + k[407]*y[:,44] + k[448]*y[:,41] + k[461]*y[:,50] + k[480]*y[:,51] + 2*k[497]*y[:,52] - k[4]*y[:,2] + k[511]*y[:,53] - k[576]*y[:,2] - k[722]*y[:,2] + k[766]*y[:,4])
- dfdy[indx[2], indx[1]] = -(M*k[612] + k[100]*y[:,15] + k[114]*y[:,5] + k[116]*y[:,8] + k[118]*y[:,11] + k[120]*y[:,14] + k[134]*y[:,17] + k[142]*y[:,20] + k[1]*y[:,0] + k[264]*y[:,28] + k[268]*y[:,30] + k[274]*y[:,29] + k[311]*y[:,33] + k[336]*y[:,38] + k[342]*y[:,37] + k[348]*y[:,34] + k[362]*y[:,31] + k[450]*y[:,32] + k[460]*y[:,43] + k[486]*y[:,51] + k[508]*y[:,52] - k[512]*y[:,2] + k[522]*y[:,25] + k[534]*y[:,56] + k[54]*y[:,7] + 2*k[579]*y[:,60] + 2*k[5]*y[:,4] + k[601]*y[:,62] + k[721] + k[85]*y[:,12] + k[94]*y[:,13])
- dfdy[indx[2], indx[2]] = -(-M*k[610] - M*k[611]*y[:,0] - M*k[653]*y[:,11] - M*k[687]*y[:,32] - 4*M*k[693]*y[:,2] - M*k[719]*y[:,8] - k[102]*y[:,6] - k[106]*y[:,7] - k[107]*y[:,8] - k[110]*y[:,15] - k[111]*y[:,6] - k[113]*y[:,7] - k[115]*y[:,9] - k[117]*y[:,13] - k[119]*y[:,15] - k[122]*y[:,8] - k[133]*y[:,21] - k[140]*y[:,20] - k[141]*y[:,22] - k[149]*y[:,7] - k[168]*y[:,11] - k[178]*y[:,14] - k[197]*y[:,4] - k[210]*y[:,21] - k[228]*y[:,28] - k[258]*y[:,28] - k[262]*y[:,33] - k[263]*y[:,29] - k[265]*y[:,30] - k[267]*y[:,31] - k[269]*y[:,31] - k[271]*y[:,29] - k[273]*y[:,33] - k[296]*y[:,34] - k[2]*y[:,3] - k[312]*y[:,35] - k[335]*y[:,37] - k[340]*y[:,37] - k[341]*y[:,39] - k[347]*y[:,38] - k[350]*y[:,34] - k[354]*y[:,38] - k[358]*y[:,38] - k[361]*y[:,36] - k[367]*y[:,31] - k[37]*y[:,17] - k[380]*y[:,36] - k[390]*y[:,20] - k[398]*y[:,32] - k[402]*y[:,41] - k[408]*y[:,34] - k[427]*y[:,46] - k[447]*y[:,29] - k[449]*y[:,41] - k[452]*y[:,32] - k[459]*y[:,50] - k[462]*y[:,41] - k[479]*y[:,30] - k[484]*y[:,51] - k[485]*y[:,42] - 4*k[498]*y[:,2] - k[4]*y[:,0] - k[504]*y[:,18] - k[506]*y[:,52] - k[507]*y[:,53] - k[512]*y[:,1] - k[514]*y[:,25] - k[521]*y[:,52] - k[533]*y[:,55] - k[536]*y[:,56] - k[53]*y[:,8] - k[557]*y[:,58] - k[55]*y[:,12] - k[560]*y[:,58] - k[576]*y[:,0] - k[578]*y[:,8] - 4*k[580]*y[:,2] - k[584]*y[:,33] - k[602]*y[:,29] - 4*k[6]*y[:,2] - k[71]*y[:,11] - k[722]*y[:,0] - k[765] - k[774]*y[:,8] - k[802]*y[:,4] - k[83]*y[:,12] - k[86]*y[:,11] - k[93]*y[:,14] - k[99]*y[:,16])
- dfdy[indx[2], indx[3]] = -(-k[2]*y[:,2] + k[3]*y[:,4] + k[575]*y[:,60])
- dfdy[indx[2], indx[4]] = -(M*k[609]*y[:,0] + k[101]*y[:,5] + k[105]*y[:,8] + k[108]*y[:,9] + k[109]*y[:,16] + k[139]*y[:,22] + k[167]*y[:,13] - k[197]*y[:,2] + k[209]*y[:,20] + k[257]*y[:,29] + k[261]*y[:,35] + k[266]*y[:,31] + k[272]*y[:,33] + k[339]*y[:,39] + k[349]*y[:,38] + k[357]*y[:,37] + k[3]*y[:,3] + k[451]*y[:,41] + k[483]*y[:,42] + k[505]*y[:,53] + k[513]*y[:,52] + k[535]*y[:,55] + 2*k[5]*y[:,1] + k[766]*y[:,0] - k[802]*y[:,2] + k[84]*y[:,11])
- dfdy[indx[2], indx[5]] = -(k[101]*y[:,4] + k[114]*y[:,1])
- dfdy[indx[2], indx[6]] = -(-k[102]*y[:,2] - k[111]*y[:,2])
- dfdy[indx[2], indx[7]] = -(-k[106]*y[:,2] - k[113]*y[:,2] - k[149]*y[:,2] + k[177]*y[:,19] + k[54]*y[:,1] + k[56]*y[:,17])
- dfdy[indx[2], indx[8]] = -(-M*k[719]*y[:,2] + k[105]*y[:,4] - k[107]*y[:,2] + k[116]*y[:,1] - k[122]*y[:,2] + k[379]*y[:,32] + k[389]*y[:,25] - k[53]*y[:,2] - k[578]*y[:,2] + k[72]*y[:,17] - k[774]*y[:,2])
- dfdy[indx[2], indx[9]] = -(k[108]*y[:,4] - k[115]*y[:,2] + k[577]*y[:,60])
+ dfdy[indx[1], indx[62]] = -(0)
+ dfdy[indx[1], indx[63]] = -(k[590]*y[:,3])
+ dfdy[indx[1], indx[64]] = -(-k[589]*y[:,1])
+ dfdy[indx[1], indx[65]] = -(-k[617]*y[:,1] - k[786]*y[:,1])
+ dfdy[indx[1], indx[66]] = -(-k[633]*y[:,1] - k[792]*y[:,1])
+ dfdy[indx[1], indx[67]] = -(-k[643]*y[:,1])
+ dfdy[indx[1], indx[68]] = -(0)
+ dfdy[indx[2], indx[0]] = -(M*k[661]*y[:,3] + k[113]*y[:,7] + k[115]*y[:,9] + k[117]*y[:,13] + k[119]*y[:,15] + k[133]*y[:,21] + k[141]*y[:,22] + k[1]*y[:,1] + k[263]*y[:,29] + k[267]*y[:,31] + k[273]*y[:,33] + k[311]*y[:,35] + k[333]*y[:,36] + k[339]*y[:,38] + k[345]*y[:,37] + k[359]*y[:,41] + k[447]*y[:,40] + k[457]*y[:,50] + k[483]*y[:,42] + k[505]*y[:,53] - k[510]*y[:,2] + k[519]*y[:,52] + k[531]*y[:,55] + k[53]*y[:,8] + k[599]*y[:,23] + k[601]*y[:,23] + 2*k[622]*y[:,0] + k[646]*y[:,29] + k[653]*y[:,8] + 2*k[6]*y[:,0] + k[784]*y[:,3] + k[86]*y[:,11] + k[93]*y[:,14] + k[99]*y[:,16])
+ dfdy[indx[2], indx[1]] = -(k[1]*y[:,0] + k[493]*y[:,40] + k[786]*y[:,65])
+ dfdy[indx[2], indx[2]] = -(-M*k[662] - M*k[697]*y[:,5] - k[100]*y[:,15] - k[114]*y[:,5] - k[116]*y[:,8] - k[118]*y[:,11] - k[120]*y[:,14] - k[134]*y[:,17] - k[142]*y[:,20] - k[146]*y[:,8] - k[264]*y[:,28] - k[268]*y[:,30] - k[274]*y[:,29] - k[294]*y[:,31] - k[298]*y[:,34] - k[2]*y[:,3] - k[312]*y[:,33] - k[334]*y[:,37] - k[340]*y[:,36] - k[346]*y[:,34] - k[360]*y[:,31] - k[386]*y[:,17] - k[410]*y[:,44] - k[412]*y[:,44] - k[439]*y[:,5] - k[448]*y[:,32] - k[458]*y[:,43] - k[464]*y[:,32] - k[484]*y[:,51] - k[494]*y[:,29] - k[498]*y[:,4] - k[506]*y[:,52] - k[510]*y[:,0] - k[520]*y[:,25] - k[532]*y[:,56] - k[54]*y[:,7] - k[5]*y[:,4] - k[600]*y[:,22] - k[602]*y[:,19] - k[621]*y[:,65] - k[645]*y[:,67] - k[654]*y[:,66] - k[783] - k[785] - k[787] - k[85]*y[:,12] - k[94]*y[:,13])
+ dfdy[indx[2], indx[3]] = -(M*k[661]*y[:,0] + k[145]*y[:,23] - k[2]*y[:,2] + k[440]*y[:,20] + k[463]*y[:,50] + k[497]*y[:,52] + k[509]*y[:,53] + k[784]*y[:,0] + 2*k[788]*y[:,3]*y[:,4])
+ dfdy[indx[2], indx[4]] = -(-k[498]*y[:,2] - k[5]*y[:,2] + k[788]*y[:,3]**2)
+ dfdy[indx[2], indx[5]] = -(-M*k[697]*y[:,2] - k[114]*y[:,2] - k[439]*y[:,2])
+ dfdy[indx[2], indx[6]] = -(0)
+ dfdy[indx[2], indx[7]] = -(k[113]*y[:,0] + k[385]*y[:,25] - k[54]*y[:,2])
+ dfdy[indx[2], indx[8]] = -(-k[116]*y[:,2] - k[146]*y[:,2] + k[293]*y[:,32] + k[53]*y[:,0] + k[653]*y[:,0])
+ dfdy[indx[2], indx[9]] = -(k[115]*y[:,0])
dfdy[indx[2], indx[10]] = -(0)
- dfdy[indx[2], indx[11]] = -(-M*k[653]*y[:,2] + k[118]*y[:,1] - k[168]*y[:,2] - k[71]*y[:,2] + k[84]*y[:,4] - k[86]*y[:,2])
- dfdy[indx[2], indx[12]] = -(k[559]*y[:,19] - k[55]*y[:,2] - k[83]*y[:,2] + k[85]*y[:,1])
- dfdy[indx[2], indx[13]] = -(-k[117]*y[:,2] + k[167]*y[:,4] + k[558]*y[:,21] + k[94]*y[:,1])
- dfdy[indx[2], indx[14]] = -(k[120]*y[:,1] - k[178]*y[:,2] - k[93]*y[:,2])
- dfdy[indx[2], indx[15]] = -(k[100]*y[:,1] - k[110]*y[:,2] - k[119]*y[:,2])
- dfdy[indx[2], indx[16]] = -(k[109]*y[:,4] - k[99]*y[:,2])
- dfdy[indx[2], indx[17]] = -(k[112]*y[:,0] + k[134]*y[:,1] + k[270]*y[:,33] - k[37]*y[:,2] + k[503]*y[:,52] + k[56]*y[:,7] + k[72]*y[:,8])
- dfdy[indx[2], indx[18]] = -(k[38]*y[:,0] - k[504]*y[:,2])
- dfdy[indx[2], indx[19]] = -(k[121]*y[:,0] + k[177]*y[:,7] + k[428]*y[:,33] + k[559]*y[:,12])
- dfdy[indx[2], indx[20]] = -(-k[140]*y[:,2] + k[142]*y[:,1] + k[150]*y[:,0] + k[209]*y[:,4] - k[390]*y[:,2])
- dfdy[indx[2], indx[21]] = -(-k[133]*y[:,2] - k[210]*y[:,2] + k[558]*y[:,13])
- dfdy[indx[2], indx[22]] = -(k[139]*y[:,4] - k[141]*y[:,2])
- dfdy[indx[2], indx[23]] = -(M*k[720] + k[773])
- dfdy[indx[2], indx[24]] = -(M*k[654])
- dfdy[indx[2], indx[25]] = -(k[198]*y[:,0] + k[389]*y[:,8] + k[397]*y[:,29] + k[401]*y[:,33] - k[514]*y[:,2] + k[522]*y[:,1])
+ dfdy[indx[2], indx[11]] = -(-k[118]*y[:,2] + k[86]*y[:,0])
+ dfdy[indx[2], indx[12]] = -(-k[85]*y[:,2])
+ dfdy[indx[2], indx[13]] = -(k[117]*y[:,0] - k[94]*y[:,2])
+ dfdy[indx[2], indx[14]] = -(-k[120]*y[:,2] + k[93]*y[:,0])
+ dfdy[indx[2], indx[15]] = -(-k[100]*y[:,2] + k[119]*y[:,0])
+ dfdy[indx[2], indx[16]] = -(k[99]*y[:,0])
+ dfdy[indx[2], indx[17]] = -(-k[134]*y[:,2] - k[386]*y[:,2])
+ dfdy[indx[2], indx[18]] = -(0)
+ dfdy[indx[2], indx[19]] = -(M*k[698] - k[602]*y[:,2])
+ dfdy[indx[2], indx[20]] = -(-k[142]*y[:,2] + k[440]*y[:,3])
+ dfdy[indx[2], indx[21]] = -(k[133]*y[:,0])
+ dfdy[indx[2], indx[22]] = -(k[141]*y[:,0] - k[600]*y[:,2])
+ dfdy[indx[2], indx[23]] = -(k[145]*y[:,3] + k[599]*y[:,0] + k[601]*y[:,0])
+ dfdy[indx[2], indx[24]] = -(0)
+ dfdy[indx[2], indx[25]] = -(k[385]*y[:,7] - k[520]*y[:,2])
dfdy[indx[2], indx[26]] = -(0)
dfdy[indx[2], indx[27]] = -(0)
- dfdy[indx[2], indx[28]] = -(-k[228]*y[:,2] - k[258]*y[:,2] + k[264]*y[:,1])
- dfdy[indx[2], indx[29]] = -(k[257]*y[:,4] - k[263]*y[:,2] - k[271]*y[:,2] + k[274]*y[:,1] + k[295]*y[:,32] + k[397]*y[:,25] - k[447]*y[:,2] - k[602]*y[:,2])
- dfdy[indx[2], indx[30]] = -(-k[265]*y[:,2] + k[268]*y[:,1] - k[479]*y[:,2])
- dfdy[indx[2], indx[31]] = -(k[266]*y[:,4] - k[267]*y[:,2] - k[269]*y[:,2] + k[362]*y[:,1] - k[367]*y[:,2])
- dfdy[indx[2], indx[32]] = -(-M*k[687]*y[:,2] + k[227]*y[:,0] + k[295]*y[:,29] + k[353]*y[:,33] + k[379]*y[:,8] - k[398]*y[:,2] + k[450]*y[:,1] - k[452]*y[:,2])
- dfdy[indx[2], indx[33]] = -(-k[262]*y[:,2] + k[270]*y[:,17] + k[272]*y[:,4] - k[273]*y[:,2] + k[311]*y[:,1] + k[353]*y[:,32] + k[401]*y[:,25] + k[428]*y[:,19] - k[584]*y[:,2])
- dfdy[indx[2], indx[34]] = -(-k[296]*y[:,2] + k[348]*y[:,1] - k[350]*y[:,2] - k[408]*y[:,2])
- dfdy[indx[2], indx[35]] = -(k[261]*y[:,4] - k[312]*y[:,2] + k[583]*y[:,60])
- dfdy[indx[2], indx[36]] = -(-k[361]*y[:,2] - k[380]*y[:,2])
- dfdy[indx[2], indx[37]] = -(-k[335]*y[:,2] - k[340]*y[:,2] + k[342]*y[:,1] + k[357]*y[:,4])
- dfdy[indx[2], indx[38]] = -(k[336]*y[:,1] - k[347]*y[:,2] + k[349]*y[:,4] - k[354]*y[:,2] - k[358]*y[:,2])
- dfdy[indx[2], indx[39]] = -(k[339]*y[:,4] - k[341]*y[:,2])
- dfdy[indx[2], indx[40]] = -(0)
- dfdy[indx[2], indx[41]] = -(-k[402]*y[:,2] + k[448]*y[:,0] - k[449]*y[:,2] + k[451]*y[:,4] - k[462]*y[:,2])
- dfdy[indx[2], indx[42]] = -(k[368]*y[:,0] + k[483]*y[:,4] - k[485]*y[:,2])
- dfdy[indx[2], indx[43]] = -(k[460]*y[:,1])
- dfdy[indx[2], indx[44]] = -(k[407]*y[:,0])
+ dfdy[indx[2], indx[28]] = -(-k[264]*y[:,2])
+ dfdy[indx[2], indx[29]] = -(k[263]*y[:,0] - k[274]*y[:,2] - k[494]*y[:,2] + k[646]*y[:,0])
+ dfdy[indx[2], indx[30]] = -(-k[268]*y[:,2])
+ dfdy[indx[2], indx[31]] = -(k[267]*y[:,0] - k[294]*y[:,2] - k[360]*y[:,2])
+ dfdy[indx[2], indx[32]] = -(k[293]*y[:,8] + k[297]*y[:,33] - k[448]*y[:,2] - k[464]*y[:,2])
+ dfdy[indx[2], indx[33]] = -(k[273]*y[:,0] + k[297]*y[:,32] - k[312]*y[:,2] + k[409]*y[:,43])
+ dfdy[indx[2], indx[34]] = -(-k[298]*y[:,2] - k[346]*y[:,2])
+ dfdy[indx[2], indx[35]] = -(k[311]*y[:,0])
+ dfdy[indx[2], indx[36]] = -(k[333]*y[:,0] - k[340]*y[:,2])
+ dfdy[indx[2], indx[37]] = -(-k[334]*y[:,2] + k[345]*y[:,0])
+ dfdy[indx[2], indx[38]] = -(k[339]*y[:,0])
+ dfdy[indx[2], indx[39]] = -(0)
+ dfdy[indx[2], indx[40]] = -(2*k[411]*y[:,40] + k[447]*y[:,0] + k[493]*y[:,1])
+ dfdy[indx[2], indx[41]] = -(k[359]*y[:,0])
+ dfdy[indx[2], indx[42]] = -(k[483]*y[:,0])
+ dfdy[indx[2], indx[43]] = -(k[409]*y[:,33] - k[458]*y[:,2])
+ dfdy[indx[2], indx[44]] = -(-k[410]*y[:,2] - k[412]*y[:,2])
dfdy[indx[2], indx[45]] = -(0)
- dfdy[indx[2], indx[46]] = -(-k[427]*y[:,2])
+ dfdy[indx[2], indx[46]] = -(0)
dfdy[indx[2], indx[47]] = -(0)
dfdy[indx[2], indx[48]] = -(0)
dfdy[indx[2], indx[49]] = -(0)
- dfdy[indx[2], indx[50]] = -(M*k[688] - k[459]*y[:,2] + k[461]*y[:,0])
- dfdy[indx[2], indx[51]] = -(k[480]*y[:,0] - k[484]*y[:,2] + k[486]*y[:,1])
- dfdy[indx[2], indx[52]] = -(2*k[497]*y[:,0] + k[503]*y[:,17] - k[506]*y[:,2] + k[508]*y[:,1] + k[513]*y[:,4] - k[521]*y[:,2] + k[801])
- dfdy[indx[2], indx[53]] = -(2*M*k[694] + k[505]*y[:,4] - k[507]*y[:,2] + k[511]*y[:,0])
+ dfdy[indx[2], indx[50]] = -(k[457]*y[:,0] + k[463]*y[:,3])
+ dfdy[indx[2], indx[51]] = -(-k[484]*y[:,2])
+ dfdy[indx[2], indx[52]] = -(k[497]*y[:,3] - k[506]*y[:,2] + k[519]*y[:,0])
+ dfdy[indx[2], indx[53]] = -(k[505]*y[:,0] + k[509]*y[:,3])
dfdy[indx[2], indx[54]] = -(0)
- dfdy[indx[2], indx[55]] = -(-k[533]*y[:,2] + k[535]*y[:,4])
- dfdy[indx[2], indx[56]] = -(k[534]*y[:,1] - k[536]*y[:,2])
+ dfdy[indx[2], indx[55]] = -(k[531]*y[:,0])
+ dfdy[indx[2], indx[56]] = -(-k[532]*y[:,2])
dfdy[indx[2], indx[57]] = -(0)
- dfdy[indx[2], indx[58]] = -(-k[557]*y[:,2] - k[560]*y[:,2])
+ dfdy[indx[2], indx[58]] = -(0)
dfdy[indx[2], indx[59]] = -(0)
- dfdy[indx[2], indx[60]] = -(k[575]*y[:,3] + k[577]*y[:,9] + 2*k[579]*y[:,1] + k[583]*y[:,35])
+ dfdy[indx[2], indx[60]] = -(0)
dfdy[indx[2], indx[61]] = -(0)
- dfdy[indx[2], indx[62]] = -(k[601]*y[:,1])
+ dfdy[indx[2], indx[62]] = -(0)
dfdy[indx[2], indx[63]] = -(0)
dfdy[indx[2], indx[64]] = -(0)
- dfdy[indx[3], indx[0]] = -(2*M*k[607]*y[:,0] + k[123]*y[:,20] + k[12]*y[:,8] + k[131]*y[:,21] + k[13]*y[:,9] + k[143]*y[:,23] + k[155]*y[:,23] + k[199]*y[:,22] + k[1]*y[:,1] + k[20]*y[:,11] + k[229]*y[:,29] + k[231]*y[:,33] + k[234]*y[:,31] + k[23]*y[:,13] + k[26]*y[:,14] + k[306]*y[:,35] + k[331]*y[:,37] + k[337]*y[:,39] + k[33]*y[:,15] + k[345]*y[:,38] + k[35]*y[:,16] + k[381]*y[:,40] + k[421]*y[:,46] + k[429]*y[:,48] + k[431]*y[:,47] + k[445]*y[:,49] + k[453]*y[:,41] + k[463]*y[:,50] + k[481]*y[:,42] + k[4]*y[:,2] + k[501]*y[:,52] + k[509]*y[:,53] + k[523]*y[:,36] + k[531]*y[:,55] + k[576]*y[:,2] + k[590]*y[:,8] + k[600]*y[:,29] - k[734]*y[:,3]*y[:,5] + 2*k[742]*y[:,0] + k[74]*y[:,12] + k[7]*y[:,5] + k[9]*y[:,7])
- dfdy[indx[3], indx[1]] = -(k[1]*y[:,0] + k[496]*y[:,29] + k[723])
- dfdy[indx[3], indx[2]] = -(-k[2]*y[:,3] + k[4]*y[:,0] + k[576]*y[:,0])
- dfdy[indx[3], indx[3]] = -(-M*k[608] - M*k[625]*y[:,6] - M*k[631]*y[:,5] - M*k[638]*y[:,11] - M*k[640]*y[:,14] - M*k[659]*y[:,17] - M*k[665]*y[:,28] - k[10]*y[:,5] - k[11]*y[:,7] - k[124]*y[:,21] - k[132]*y[:,17] - k[144]*y[:,22] - k[14]*y[:,8] - k[156]*y[:,19] - k[174]*y[:,17] - k[19]*y[:,12] - k[200]*y[:,20] - k[230]*y[:,28] - k[232]*y[:,29] - k[233]*y[:,30] - k[24]*y[:,11] - k[25]*y[:,13] - k[2]*y[:,2] - k[304]*y[:,34] - k[305]*y[:,33] - k[310]*y[:,32] - k[332]*y[:,38] - k[338]*y[:,37] - k[346]*y[:,34] - k[34]*y[:,14] - k[36]*y[:,15] - k[372]*y[:,31] - k[378]*y[:,37] - k[382]*y[:,39] - k[3]*y[:,4] - k[40]*y[:,11] - k[422]*y[:,47] - k[430]*y[:,46] - k[432]*y[:,36] - k[434]*y[:,47] - k[446]*y[:,24] - k[454]*y[:,32] - k[464]*y[:,43] - k[482]*y[:,51] - k[495]*y[:,41] - k[502]*y[:,25] - k[510]*y[:,52] - k[524]*y[:,31] - k[532]*y[:,56] - k[552]*y[:,38] - k[562]*y[:,54] - k[566]*y[:,59] - k[575]*y[:,60] - k[589]*y[:,61] - k[599]*y[:,62] - k[724]*y[:,60] - k[730]*y[:,61] - k[734]*y[:,0]*y[:,5] - k[736]*y[:,5] - k[73]*y[:,10] - k[741] - k[750]*y[:,11] - k[756]*y[:,14] - 4*k[760]*y[:,11]*y[:,3] - k[770]*y[:,17] - k[776]*y[:,20] - k[8]*y[:,6])
- dfdy[indx[3], indx[4]] = -(k[173]*y[:,7] + k[309]*y[:,33] - k[3]*y[:,3])
- dfdy[indx[3], indx[5]] = -(-M*k[631]*y[:,3] - k[10]*y[:,3] + k[39]*y[:,8] - k[734]*y[:,0]*y[:,3] - k[736]*y[:,3] + k[7]*y[:,0])
- dfdy[indx[3], indx[6]] = -(-M*k[625]*y[:,3] - k[8]*y[:,3])
- dfdy[indx[3], indx[7]] = -(M*k[626] - k[11]*y[:,3] + k[173]*y[:,4] + k[565]*y[:,11] + k[9]*y[:,0])
- dfdy[indx[3], indx[8]] = -(M*k[632] + k[12]*y[:,0] - k[14]*y[:,3] + k[371]*y[:,28] + k[39]*y[:,5] + k[433]*y[:,33] + k[590]*y[:,0] + k[735])
- dfdy[indx[3], indx[9]] = -(k[13]*y[:,0] + k[729] + k[733])
- dfdy[indx[3], indx[10]] = -(-k[73]*y[:,3])
- dfdy[indx[3], indx[11]] = -(-M*k[638]*y[:,3] + k[20]*y[:,0] - k[24]*y[:,3] - k[40]*y[:,3] + k[565]*y[:,7] - k[750]*y[:,3] - 2*k[760]*y[:,3]**2)
- dfdy[indx[3], indx[12]] = -(-k[19]*y[:,3] + k[74]*y[:,0])
- dfdy[indx[3], indx[13]] = -(k[23]*y[:,0] - k[25]*y[:,3])
- dfdy[indx[3], indx[14]] = -(M*k[637] - M*k[640]*y[:,3] + k[26]*y[:,0] - k[34]*y[:,3] + k[749] - k[756]*y[:,3])
- dfdy[indx[3], indx[15]] = -(k[33]*y[:,0] - k[36]*y[:,3])
- dfdy[indx[3], indx[16]] = -(M*k[639] + k[35]*y[:,0] + k[755] + 2*k[759])
- dfdy[indx[3], indx[17]] = -(-M*k[659]*y[:,3] - k[132]*y[:,3] - k[174]*y[:,3] - k[770]*y[:,3])
- dfdy[indx[3], indx[18]] = -(0)
- dfdy[indx[3], indx[19]] = -(-k[156]*y[:,3])
- dfdy[indx[3], indx[20]] = -(M*k[660] + k[123]*y[:,0] - k[200]*y[:,3] + k[769] - k[776]*y[:,3])
- dfdy[indx[3], indx[21]] = -(-k[124]*y[:,3] + k[131]*y[:,0])
- dfdy[indx[3], indx[22]] = -(-k[144]*y[:,3] + k[199]*y[:,0])
- dfdy[indx[3], indx[23]] = -(k[143]*y[:,0] + k[155]*y[:,0] + k[775])
- dfdy[indx[3], indx[24]] = -(-k[446]*y[:,3])
- dfdy[indx[3], indx[25]] = -(-k[502]*y[:,3])
- dfdy[indx[3], indx[26]] = -(0)
- dfdy[indx[3], indx[27]] = -(0)
- dfdy[indx[3], indx[28]] = -(-M*k[665]*y[:,3] - k[230]*y[:,3] + k[371]*y[:,8] + k[551]*y[:,35] + k[561]*y[:,58])
- dfdy[indx[3], indx[29]] = -(k[229]*y[:,0] - k[232]*y[:,3] + 2*k[303]*y[:,29] + k[496]*y[:,1] + k[600]*y[:,0])
- dfdy[indx[3], indx[30]] = -(-k[233]*y[:,3])
- dfdy[indx[3], indx[31]] = -(k[234]*y[:,0] - k[372]*y[:,3] - k[524]*y[:,3])
- dfdy[indx[3], indx[32]] = -(-k[310]*y[:,3] - k[454]*y[:,3])
- dfdy[indx[3], indx[33]] = -(M*k[666] + k[231]*y[:,0] - k[305]*y[:,3] + k[309]*y[:,4] + 2*k[377]*y[:,33] + k[433]*y[:,8])
- dfdy[indx[3], indx[34]] = -(-k[304]*y[:,3] - k[346]*y[:,3])
- dfdy[indx[3], indx[35]] = -(k[306]*y[:,0] + k[551]*y[:,28])
- dfdy[indx[3], indx[36]] = -(-k[432]*y[:,3] + k[523]*y[:,0])
- dfdy[indx[3], indx[37]] = -(k[331]*y[:,0] - k[338]*y[:,3] - k[378]*y[:,3])
- dfdy[indx[3], indx[38]] = -(-k[332]*y[:,3] + k[345]*y[:,0] - k[552]*y[:,3])
- dfdy[indx[3], indx[39]] = -(k[337]*y[:,0] - k[382]*y[:,3])
- dfdy[indx[3], indx[40]] = -(k[381]*y[:,0])
- dfdy[indx[3], indx[41]] = -(k[453]*y[:,0] - k[495]*y[:,3])
- dfdy[indx[3], indx[42]] = -(k[481]*y[:,0])
- dfdy[indx[3], indx[43]] = -(-k[464]*y[:,3])
- dfdy[indx[3], indx[44]] = -(0)
- dfdy[indx[3], indx[45]] = -(0)
- dfdy[indx[3], indx[46]] = -(k[421]*y[:,0] - k[430]*y[:,3])
- dfdy[indx[3], indx[47]] = -(-k[422]*y[:,3] + k[431]*y[:,0] - k[434]*y[:,3])
- dfdy[indx[3], indx[48]] = -(k[429]*y[:,0])
- dfdy[indx[3], indx[49]] = -(k[445]*y[:,0])
- dfdy[indx[3], indx[50]] = -(k[463]*y[:,0])
- dfdy[indx[3], indx[51]] = -(-k[482]*y[:,3])
- dfdy[indx[3], indx[52]] = -(k[501]*y[:,0] - k[510]*y[:,3])
- dfdy[indx[3], indx[53]] = -(k[509]*y[:,0])
- dfdy[indx[3], indx[54]] = -(-k[562]*y[:,3])
- dfdy[indx[3], indx[55]] = -(k[531]*y[:,0])
- dfdy[indx[3], indx[56]] = -(-k[532]*y[:,3])
- dfdy[indx[3], indx[57]] = -(0)
- dfdy[indx[3], indx[58]] = -(k[561]*y[:,28])
- dfdy[indx[3], indx[59]] = -(-k[566]*y[:,3])
- dfdy[indx[3], indx[60]] = -(-k[575]*y[:,3] - k[724]*y[:,3])
- dfdy[indx[3], indx[61]] = -(-k[589]*y[:,3] - k[730]*y[:,3])
- dfdy[indx[3], indx[62]] = -(-k[599]*y[:,3])
- dfdy[indx[3], indx[63]] = -(0)
- dfdy[indx[3], indx[64]] = -(0)
- dfdy[indx[4], indx[0]] = -(-M*k[609]*y[:,4] + k[104]*y[:,17] + k[138]*y[:,20] + 2*k[148]*y[:,0]*y[:,17] + k[198]*y[:,25] + k[204]*y[:,26] + k[206]*y[:,27] + k[260]*y[:,32] + k[444]*y[:,49] + k[478]*y[:,51] + k[494]*y[:,41] + k[499]*y[:,52] + k[4]*y[:,2] - 2*k[726]*y[:,0]*y[:,4] - k[766]*y[:,4])
- dfdy[indx[4], indx[1]] = -(-k[500]*y[:,4] - k[5]*y[:,4] + k[725])
- dfdy[indx[4], indx[2]] = -(M*k[610] + k[102]*y[:,6] + k[106]*y[:,7] + k[107]*y[:,8] + k[110]*y[:,15] + k[140]*y[:,20] + k[168]*y[:,11] - k[197]*y[:,4] + k[210]*y[:,21] + k[258]*y[:,28] + k[262]*y[:,33] + k[265]*y[:,30] + k[271]*y[:,29] + k[340]*y[:,37] + k[350]*y[:,34] + k[358]*y[:,38] + k[452]*y[:,32] + k[484]*y[:,51] + k[4]*y[:,0] + k[506]*y[:,52] + k[514]*y[:,25] + k[536]*y[:,56] + 2*k[6]*y[:,2] + k[765] - k[802]*y[:,4] + k[83]*y[:,12])
- dfdy[indx[4], indx[3]] = -(k[174]*y[:,17] + k[310]*y[:,32] - k[3]*y[:,4])
- dfdy[indx[4], indx[4]] = -(-M*k[609]*y[:,0] - M*k[641]*y[:,17] - M*k[677]*y[:,32] - M*k[680]*y[:,34] - M*k[705]*y[:,6] - M*k[709]*y[:,28] - 4*M*k[713]*y[:,4] - k[101]*y[:,5] - k[103]*y[:,5] - k[105]*y[:,8] - k[108]*y[:,9] - k[109]*y[:,16] - k[125]*y[:,14] - k[137]*y[:,8] - k[139]*y[:,22] - k[147]*y[:,7] - k[167]*y[:,13] - k[173]*y[:,7] - k[197]*y[:,2] - k[203]*y[:,13] - k[205]*y[:,11] - k[209]*y[:,20] - k[257]*y[:,29] - k[259]*y[:,29] - k[261]*y[:,35] - k[266]*y[:,31] - k[272]*y[:,33] - k[275]*y[:,30] - k[280]*y[:,34] - k[288]*y[:,30] - k[290]*y[:,31] - k[309]*y[:,33] - k[323]*y[:,31] - k[339]*y[:,39] - k[349]*y[:,38] - k[357]*y[:,37] - k[375]*y[:,38] - k[383]*y[:,22] - k[386]*y[:,17] - k[396]*y[:,32] - k[3]*y[:,3] - k[400]*y[:,41] - k[403]*y[:,43] - k[405]*y[:,44] - k[41]*y[:,10] - k[443]*y[:,15] - k[451]*y[:,41] - k[477]*y[:,31] - k[483]*y[:,42] - k[493]*y[:,33] - k[500]*y[:,1] - k[505]*y[:,53] - k[513]*y[:,52] - k[535]*y[:,55] - k[57]*y[:,11] - k[582]*y[:,18] - k[5]*y[:,1] - k[726]*y[:,0]**2 - k[740]*y[:,6] - k[746]*y[:,17] - k[766]*y[:,0] - k[792]*y[:,28] - k[794]*y[:,32] - k[802]*y[:,2] - 4*k[804]*y[:,4] - k[806]*y[:,60] - k[81]*y[:,12] - k[84]*y[:,11])
+ dfdy[indx[2], indx[65]] = -(-k[621]*y[:,2] + k[786]*y[:,1])
+ dfdy[indx[2], indx[66]] = -(-k[654]*y[:,2])
+ dfdy[indx[2], indx[67]] = -(-k[645]*y[:,2])
+ dfdy[indx[2], indx[68]] = -(0)
+ dfdy[indx[3], indx[0]] = -(M*k[660] - M*k[661]*y[:,3] + k[111]*y[:,6] + k[122]*y[:,8] + k[149]*y[:,7] + k[197]*y[:,4] + k[1]*y[:,1] + k[227]*y[:,28] + k[365]*y[:,31] + k[37]*y[:,17] + k[406]*y[:,34] + k[445]*y[:,29] + k[460]*y[:,40] + k[477]*y[:,30] + 2*k[496]*y[:,0] - k[4]*y[:,3] + k[510]*y[:,2] - k[618]*y[:,3] - k[784]*y[:,3] + k[827])
+ dfdy[indx[3], indx[1]] = -(2*M*k[658] + k[10]*y[:,5] + k[11]*y[:,7] + k[124]*y[:,21] + k[132]*y[:,17] + k[144]*y[:,22] + k[14]*y[:,8] + k[156]*y[:,19] + k[19]*y[:,12] + k[1]*y[:,0] + k[200]*y[:,20] + k[230]*y[:,28] + k[232]*y[:,29] + k[233]*y[:,30] + k[24]*y[:,11] + k[25]*y[:,13] + k[305]*y[:,33] + k[330]*y[:,37] + k[336]*y[:,36] + k[344]*y[:,34] + k[34]*y[:,14] + k[36]*y[:,15] + k[380]*y[:,38] + k[3]*y[:,4] + k[420]*y[:,47] + k[428]*y[:,46] + k[430]*y[:,41] + k[444]*y[:,24] + k[452]*y[:,32] + k[462]*y[:,43] + k[480]*y[:,51] + k[500]*y[:,25] + k[508]*y[:,52] + k[522]*y[:,31] + k[530]*y[:,56] + k[589]*y[:,64] + k[617]*y[:,65] + k[633]*y[:,66] + k[643]*y[:,67] + k[73]*y[:,10] - k[796]*y[:,3]*y[:,5] + 2*k[803] + k[8]*y[:,6])
+ dfdy[indx[3], indx[2]] = -(M*k[662] + k[146]*y[:,8] - k[2]*y[:,3] + k[439]*y[:,5] + k[464]*y[:,32] + k[498]*y[:,4] + k[510]*y[:,0] + k[783] + 2*k[787])
+ dfdy[indx[3], indx[3]] = -(-4*M*k[657]*y[:,3] - M*k[659]*y[:,4] - M*k[661]*y[:,0] - M*k[663]*y[:,5] - M*k[665]*y[:,8] - M*k[667]*y[:,11] - M*k[669]*y[:,13] - M*k[671]*y[:,14] - M*k[673]*y[:,15] - M*k[678]*y[:,6] - M*k[679]*y[:,7] - M*k[685]*y[:,12] - M*k[694]*y[:,20] - M*k[695]*y[:,17] - M*k[700]*y[:,20] - M*k[701]*y[:,19] - M*k[707]*y[:,21] - M*k[711]*y[:,33] - M*k[713]*y[:,30] - M*k[720]*y[:,36] - M*k[721]*y[:,31] - M*k[732]*y[:,34] - M*k[735]*y[:,32] - M*k[745]*y[:,25] - M*k[747]*y[:,56] - M*k[749]*y[:,59] - M*k[754]*y[:,37] - M*k[755]*y[:,58] - M*k[759]*y[:,64] - M*k[761]*y[:,45] - M*k[768]*y[:,10] - M*k[772]*y[:,28] - k[104]*y[:,17] - k[112]*y[:,17] - k[121]*y[:,19] - k[123]*y[:,20] - k[12]*y[:,8] - k[131]*y[:,21] - k[138]*y[:,20] - k[13]*y[:,9] - k[143]*y[:,23] - k[145]*y[:,23] - 4*k[148]*y[:,17]*y[:,3] - k[150]*y[:,20] - k[155]*y[:,23] - k[16]*y[:,10] - k[18]*y[:,11] - k[193]*y[:,24] - k[198]*y[:,25] - k[199]*y[:,22] - k[201]*y[:,26] - k[204]*y[:,26] - k[206]*y[:,27] - k[207]*y[:,27] - k[20]*y[:,11] - k[220]*y[:,30] - k[224]*y[:,31] - k[228]*y[:,32] - k[229]*y[:,29] - k[22]*y[:,11] - k[231]*y[:,33] - k[234]*y[:,31] - k[23]*y[:,13] - k[260]*y[:,32] - k[26]*y[:,14] - k[282]*y[:,34] - k[28]*y[:,14] - k[2]*y[:,2] - k[302]*y[:,30] - k[306]*y[:,35] - k[30]*y[:,14] - k[31]*y[:,15] - k[324]*y[:,36] - k[329]*y[:,36] - k[335]*y[:,38] - k[33]*y[:,15] - k[343]*y[:,37] - k[35]*y[:,16] - k[362]*y[:,42] - k[363]*y[:,42] - k[366]*y[:,42] - k[368]*y[:,41] - k[379]*y[:,39] - k[38]*y[:,18] - k[405]*y[:,44] - k[408]*y[:,44] - k[418]*y[:,45] - k[419]*y[:,46] - k[427]*y[:,48] - k[429]*y[:,47] - k[434]*y[:,46] - k[437]*y[:,38] - k[440]*y[:,20] - k[442]*y[:,49] - k[443]*y[:,49] - k[446]*y[:,40] - 4*k[44]*y[:,11]*y[:,3] - k[451]*y[:,40] - k[459]*y[:,50] - k[461]*y[:,50] - k[463]*y[:,50] - k[476]*y[:,51] - k[478]*y[:,51] - k[479]*y[:,42] - k[48]*y[:,13] - k[492]*y[:,40] - k[495]*y[:,52] - k[497]*y[:,52] - k[499]*y[:,52] - k[4]*y[:,0] - k[507]*y[:,53] - k[509]*y[:,53] - k[521]*y[:,41] - k[524]*y[:,54] - k[526]*y[:,54] - k[527]*y[:,55] - k[529]*y[:,55] - k[536]*y[:,57] - k[538]*y[:,57] - k[544]*y[:,56] - k[564]*y[:,54] - k[568]*y[:,58] - k[570]*y[:,59] - k[572]*y[:,59] - k[574]*y[:,58] - k[582]*y[:,60] - k[584]*y[:,61] - k[586]*y[:,62] - k[588]*y[:,63] - k[590]*y[:,63] - k[612]*y[:,56] - k[618]*y[:,0] - k[634]*y[:,8] - k[642]*y[:,58] - k[644]*y[:,29] - k[74]*y[:,12] - k[778]*y[:,51] - k[784]*y[:,0] - 4*k[788]*y[:,3]*y[:,4] - k[790]*y[:,8] - 4*k[794]*y[:,3]*y[:,66] - k[796]*y[:,1]*y[:,5] - k[7]*y[:,5] - k[800]*y[:,66] - 4*k[804]*y[:,3] - k[806]*y[:,12] - 4*k[814]*y[:,11]*y[:,3] - k[816]*y[:,13] - 4*k[820]*y[:,14]*y[:,3] - k[828]*y[:,4] - k[830]*y[:,17] - k[834]*y[:,21] - k[840]*y[:,22] - k[848]*y[:,33] - 4*k[850]*y[:,29]*y[:,3] - k[852]*y[:,30] - k[858]*y[:,38] - k[862]*y[:,51] - k[872]*y[:,5] - k[874]*y[:,64] - k[9]*y[:,7])
+ dfdy[indx[3], indx[4]] = -(-M*k[659]*y[:,3] + k[103]*y[:,5] + k[137]*y[:,8] + 2*k[147]*y[:,7] + k[197]*y[:,0] + k[203]*y[:,13] + k[205]*y[:,11] + k[259]*y[:,29] + k[3]*y[:,1] + k[441]*y[:,15] + k[475]*y[:,31] + k[491]*y[:,33] + k[498]*y[:,2] - 2*k[788]*y[:,3]**2 - k[828]*y[:,3])
+ dfdy[indx[3], indx[5]] = -(-M*k[663]*y[:,3] + M*k[677] + k[103]*y[:,4] + k[10]*y[:,1] + k[15]*y[:,6] + k[219]*y[:,28] + k[21]*y[:,7] + k[27]*y[:,9] + k[439]*y[:,2] + k[571]*y[:,11] + k[583]*y[:,58] - k[796]*y[:,1]*y[:,3] - k[7]*y[:,3] - k[872]*y[:,3])
+ dfdy[indx[3], indx[6]] = -(-M*k[678]*y[:,3] + k[111]*y[:,0] + k[15]*y[:,5] + k[17]*y[:,8] + k[301]*y[:,29] + k[8]*y[:,1])
+ dfdy[indx[3], indx[7]] = -(M*k[664] - M*k[679]*y[:,3] + k[11]*y[:,1] + 2*k[147]*y[:,4] + k[149]*y[:,0] + k[208]*y[:,17] + k[21]*y[:,5] + k[223]*y[:,28] + k[29]*y[:,8] + k[361]*y[:,32] + 4*k[43]*y[:,7] + 2*k[47]*y[:,7] + k[567]*y[:,11] + k[569]*y[:,12] + k[871] - k[9]*y[:,3])
+ dfdy[indx[3], indx[8]] = -(-M*k[665]*y[:,3] + M*k[680] + k[122]*y[:,0] - k[12]*y[:,3] + k[137]*y[:,4] + k[146]*y[:,2] + k[14]*y[:,1] + k[17]*y[:,6] + k[194]*y[:,21] + k[202]*y[:,17] + k[29]*y[:,7] + 2*k[32]*y[:,8] + k[367]*y[:,28] + k[433]*y[:,33] + k[528]*y[:,31] + k[573]*y[:,12] + k[581]*y[:,11] + k[611]*y[:,30] - k[634]*y[:,3] - k[790]*y[:,3] + k[799])
+ dfdy[indx[3], indx[9]] = -(M*k[666] - k[13]*y[:,3] + k[27]*y[:,5] + k[789] + 2*k[793] + k[795])
+ dfdy[indx[3], indx[10]] = -(-M*k[768]*y[:,3] - k[16]*y[:,3] + k[73]*y[:,1])
+ dfdy[indx[3], indx[11]] = -(-M*k[667]*y[:,3] + M*k[686] - k[18]*y[:,3] + k[205]*y[:,4] - k[20]*y[:,3] - k[22]*y[:,3] + k[24]*y[:,1] + k[417]*y[:,12] - 2*k[44]*y[:,3]**2 + k[523]*y[:,30] + k[567]*y[:,7] + k[571]*y[:,5] + k[581]*y[:,8] + k[587]*y[:,62] + k[641]*y[:,66] + k[805] - 2*k[814]*y[:,3]**2)
+ dfdy[indx[3], indx[12]] = -(-M*k[685]*y[:,3] + M*k[767] + k[19]*y[:,1] + k[417]*y[:,11] + k[525]*y[:,31] + k[569]*y[:,7] + k[573]*y[:,8] + k[585]*y[:,15] - k[74]*y[:,3] - k[806]*y[:,3])
+ dfdy[indx[3], indx[13]] = -(M*k[668] - M*k[669]*y[:,3] + k[203]*y[:,4] - k[23]*y[:,3] + k[25]*y[:,1] - k[48]*y[:,3] + k[537]*y[:,31] + k[543]*y[:,28] - k[816]*y[:,3])
+ dfdy[indx[3], indx[14]] = -(M*k[670] - M*k[671]*y[:,3] - k[26]*y[:,3] - k[28]*y[:,3] - k[30]*y[:,3] + k[34]*y[:,1] + k[535]*y[:,30] + 2*k[813] + k[815] - 2*k[820]*y[:,3]**2)
+ dfdy[indx[3], indx[15]] = -(M*k[672] - M*k[673]*y[:,3] - k[31]*y[:,3] - k[33]*y[:,3] + k[36]*y[:,1] + k[441]*y[:,4] + k[585]*y[:,12])
+ dfdy[indx[3], indx[16]] = -(M*k[674] - k[35]*y[:,3] + 2*k[819])
+ dfdy[indx[3], indx[17]] = -(-M*k[695]*y[:,3] - k[104]*y[:,3] - k[112]*y[:,3] + k[132]*y[:,1] - 2*k[148]*y[:,3]**2 + k[202]*y[:,8] + k[208]*y[:,7] + k[364]*y[:,33] + k[37]*y[:,0] - k[830]*y[:,3])
+ dfdy[indx[3], indx[18]] = -(-k[38]*y[:,3])
+ dfdy[indx[3], indx[19]] = -(M*k[693] - M*k[701]*y[:,3] - k[121]*y[:,3] + k[156]*y[:,1])
+ dfdy[indx[3], indx[20]] = -(-M*k[694]*y[:,3] - M*k[700]*y[:,3] + M*k[708] - k[123]*y[:,3] - k[138]*y[:,3] - k[150]*y[:,3] + k[200]*y[:,1] - k[440]*y[:,3] + k[833])
+ dfdy[indx[3], indx[21]] = -(M*k[696] - M*k[707]*y[:,3] + k[124]*y[:,1] - k[131]*y[:,3] + k[194]*y[:,8] + k[829] - k[834]*y[:,3])
+ dfdy[indx[3], indx[22]] = -(M*k[699] + k[144]*y[:,1] - k[199]*y[:,3] - k[840]*y[:,3])
+ dfdy[indx[3], indx[23]] = -(M*k[702] - k[143]*y[:,3] - k[145]*y[:,3] - k[155]*y[:,3] + k[839])
+ dfdy[indx[3], indx[24]] = -(-k[193]*y[:,3] + k[444]*y[:,1])
+ dfdy[indx[3], indx[25]] = -(-M*k[745]*y[:,3] - k[198]*y[:,3] + k[500]*y[:,1])
+ dfdy[indx[3], indx[26]] = -(-k[201]*y[:,3] - k[204]*y[:,3])
+ dfdy[indx[3], indx[27]] = -(-k[206]*y[:,3] - k[207]*y[:,3])
+ dfdy[indx[3], indx[28]] = -(-M*k[772]*y[:,3] + k[219]*y[:,5] + k[223]*y[:,7] + k[227]*y[:,0] + k[230]*y[:,1] + k[281]*y[:,29] + k[367]*y[:,8] + k[543]*y[:,13] + k[563]*y[:,59])
+ dfdy[indx[3], indx[29]] = -(M*k[771] - k[229]*y[:,3] + k[232]*y[:,1] + k[259]*y[:,4] + k[281]*y[:,28] + k[301]*y[:,6] + k[323]*y[:,33] + k[407]*y[:,32] + k[445]*y[:,0] - k[644]*y[:,3] - 2*k[850]*y[:,3]**2)
+ dfdy[indx[3], indx[30]] = -(-M*k[713]*y[:,3] - k[220]*y[:,3] + k[233]*y[:,1] - k[302]*y[:,3] + k[477]*y[:,0] + k[523]*y[:,11] + k[535]*y[:,14] + k[611]*y[:,8] - k[852]*y[:,3])
+ dfdy[indx[3], indx[31]] = -(M*k[714] - M*k[721]*y[:,3] - k[224]*y[:,3] - k[234]*y[:,3] + k[365]*y[:,0] + k[475]*y[:,4] + k[522]*y[:,1] + k[525]*y[:,12] + k[528]*y[:,8] + k[537]*y[:,13] + k[851])
+ dfdy[indx[3], indx[32]] = -(-M*k[735]*y[:,3] - k[228]*y[:,3] - k[260]*y[:,3] + k[361]*y[:,7] + k[407]*y[:,29] + k[452]*y[:,1] + k[464]*y[:,2])
+ dfdy[indx[3], indx[33]] = -(-M*k[711]*y[:,3] - k[231]*y[:,3] + k[305]*y[:,1] + k[323]*y[:,29] + k[364]*y[:,17] + k[433]*y[:,8] + 2*k[438]*y[:,33] + k[491]*y[:,4] - k[848]*y[:,3])
+ dfdy[indx[3], indx[34]] = -(-M*k[732]*y[:,3] - k[282]*y[:,3] + k[344]*y[:,1] + k[406]*y[:,0])
+ dfdy[indx[3], indx[35]] = -(M*k[712] - k[306]*y[:,3] + k[847] + 2*k[849])
+ dfdy[indx[3], indx[36]] = -(-M*k[720]*y[:,3] + M*k[753] - k[324]*y[:,3] - k[329]*y[:,3] + k[336]*y[:,1])
+ dfdy[indx[3], indx[37]] = -(M*k[731] - M*k[754]*y[:,3] + k[330]*y[:,1] - k[343]*y[:,3])
+ dfdy[indx[3], indx[38]] = -(M*k[719] - k[335]*y[:,3] + k[380]*y[:,1] - k[437]*y[:,3] - k[858]*y[:,3])
+ dfdy[indx[3], indx[39]] = -(-k[379]*y[:,3] + k[857])
+ dfdy[indx[3], indx[40]] = -(M*k[736] - k[446]*y[:,3] - k[451]*y[:,3] + k[460]*y[:,0] - k[492]*y[:,3])
+ dfdy[indx[3], indx[41]] = -(M*k[722] - k[368]*y[:,3] + k[430]*y[:,1] - k[521]*y[:,3])
+ dfdy[indx[3], indx[42]] = -(M*k[777] - k[362]*y[:,3] - k[363]*y[:,3] - k[366]*y[:,3] - k[479]*y[:,3] + k[861])
+ dfdy[indx[3], indx[43]] = -(k[462]*y[:,1])
+ dfdy[indx[3], indx[44]] = -(-k[405]*y[:,3] - k[408]*y[:,3])
+ dfdy[indx[3], indx[45]] = -(-M*k[761]*y[:,3] - k[418]*y[:,3])
+ dfdy[indx[3], indx[46]] = -(-k[419]*y[:,3] + k[428]*y[:,1] - k[434]*y[:,3])
+ dfdy[indx[3], indx[47]] = -(k[420]*y[:,1] - k[429]*y[:,3])
+ dfdy[indx[3], indx[48]] = -(-k[427]*y[:,3])
+ dfdy[indx[3], indx[49]] = -(-k[442]*y[:,3] - k[443]*y[:,3])
+ dfdy[indx[3], indx[50]] = -(-k[459]*y[:,3] - k[461]*y[:,3] - k[463]*y[:,3])
+ dfdy[indx[3], indx[51]] = -(-k[476]*y[:,3] - k[478]*y[:,3] + k[480]*y[:,1] - k[778]*y[:,3] - k[862]*y[:,3])
+ dfdy[indx[3], indx[52]] = -(M*k[746] - k[495]*y[:,3] - k[497]*y[:,3] - k[499]*y[:,3] + k[508]*y[:,1])
+ dfdy[indx[3], indx[53]] = -(-k[507]*y[:,3] - k[509]*y[:,3])
+ dfdy[indx[3], indx[54]] = -(-k[524]*y[:,3] - k[526]*y[:,3] - k[564]*y[:,3])
+ dfdy[indx[3], indx[55]] = -(M*k[748] - k[527]*y[:,3] - k[529]*y[:,3])
+ dfdy[indx[3], indx[56]] = -(-M*k[747]*y[:,3] + k[530]*y[:,1] - k[544]*y[:,3] - k[612]*y[:,3])
+ dfdy[indx[3], indx[57]] = -(-k[536]*y[:,3] - k[538]*y[:,3])
+ dfdy[indx[3], indx[58]] = -(M*k[750] - M*k[755]*y[:,3] - k[568]*y[:,3] - k[574]*y[:,3] + k[583]*y[:,5] - k[642]*y[:,3])
+ dfdy[indx[3], indx[59]] = -(-M*k[749]*y[:,3] + k[563]*y[:,28] - k[570]*y[:,3] - k[572]*y[:,3])
+ dfdy[indx[3], indx[60]] = -(M*k[756] - k[582]*y[:,3])
+ dfdy[indx[3], indx[61]] = -(M*k[762] - k[584]*y[:,3])
+ dfdy[indx[3], indx[62]] = -(-k[586]*y[:,3] + k[587]*y[:,11])
+ dfdy[indx[3], indx[63]] = -(M*k[760] - k[588]*y[:,3] - k[590]*y[:,3] + k[873])
+ dfdy[indx[3], indx[64]] = -(-M*k[759]*y[:,3] + k[589]*y[:,1] - k[874]*y[:,3])
+ dfdy[indx[3], indx[65]] = -(k[617]*y[:,1])
+ dfdy[indx[3], indx[66]] = -(k[633]*y[:,1] + k[641]*y[:,11] - 2*k[794]*y[:,3]**2 - k[800]*y[:,3])
+ dfdy[indx[3], indx[67]] = -(k[643]*y[:,1])
+ dfdy[indx[3], indx[68]] = -(0)
+ dfdy[indx[4], indx[0]] = -(M*k[660] + k[102]*y[:,6] + k[106]*y[:,7] + k[107]*y[:,8] + k[110]*y[:,15] + k[140]*y[:,20] + k[168]*y[:,11] - k[197]*y[:,4] + k[210]*y[:,21] + k[258]*y[:,28] + k[262]*y[:,33] + k[265]*y[:,30] + k[271]*y[:,29] + k[338]*y[:,36] + k[348]*y[:,34] + k[356]*y[:,37] + k[450]*y[:,32] + k[482]*y[:,51] + k[4]*y[:,3] + k[504]*y[:,52] + k[512]*y[:,25] + k[534]*y[:,56] + 2*k[6]*y[:,0] + k[827] + k[83]*y[:,12] - k[864]*y[:,4])
+ dfdy[indx[4], indx[1]] = -(k[174]*y[:,17] + k[310]*y[:,32] - k[3]*y[:,4])
+ dfdy[indx[4], indx[2]] = -(-k[498]*y[:,4] - k[5]*y[:,4] + k[787])
+ dfdy[indx[4], indx[3]] = -(-M*k[659]*y[:,4] + k[104]*y[:,17] + k[138]*y[:,20] + 2*k[148]*y[:,17]*y[:,3] + k[198]*y[:,25] + k[204]*y[:,26] + k[206]*y[:,27] + k[260]*y[:,32] + k[442]*y[:,49] + k[476]*y[:,51] + k[492]*y[:,40] + k[497]*y[:,52] + k[4]*y[:,0] - 2*k[788]*y[:,3]*y[:,4] - k[828]*y[:,4])
+ dfdy[indx[4], indx[4]] = -(-M*k[659]*y[:,3] - M*k[691]*y[:,17] - M*k[727]*y[:,32] - M*k[730]*y[:,34] - M*k[769]*y[:,6] - M*k[773]*y[:,28] - 4*M*k[775]*y[:,4] - k[101]*y[:,5] - k[103]*y[:,5] - k[105]*y[:,8] - k[108]*y[:,9] - k[109]*y[:,16] - k[125]*y[:,14] - k[137]*y[:,8] - k[139]*y[:,22] - k[147]*y[:,7] - k[167]*y[:,13] - k[173]*y[:,7] - k[197]*y[:,0] - k[203]*y[:,13] - k[205]*y[:,11] - k[209]*y[:,20] - k[257]*y[:,29] - k[259]*y[:,29] - k[261]*y[:,35] - k[266]*y[:,31] - k[272]*y[:,33] - k[275]*y[:,30] - k[280]*y[:,34] - k[288]*y[:,30] - k[290]*y[:,31] - k[309]*y[:,33] - k[321]*y[:,31] - k[337]*y[:,38] - k[347]*y[:,37] - k[355]*y[:,36] - k[373]*y[:,37] - k[381]*y[:,22] - k[384]*y[:,17] - k[394]*y[:,32] - k[398]*y[:,40] - k[3]*y[:,1] - k[401]*y[:,43] - k[403]*y[:,44] - k[41]*y[:,10] - k[441]*y[:,15] - k[449]*y[:,40] - k[475]*y[:,31] - k[481]*y[:,42] - k[491]*y[:,33] - k[498]*y[:,2] - k[503]*y[:,53] - k[511]*y[:,52] - k[533]*y[:,55] - k[545]*y[:,56] - k[57]*y[:,11] - k[595]*y[:,14] - k[597]*y[:,13] - k[5]*y[:,2] - k[608]*y[:,44] - k[624]*y[:,18] - k[632]*y[:,34] - k[650]*y[:,32] - k[788]*y[:,3]**2 - k[802]*y[:,6] - k[808]*y[:,17] - k[81]*y[:,12] - k[828]*y[:,3] - k[84]*y[:,11] - k[854]*y[:,28] - k[856]*y[:,32] - k[864]*y[:,0] - 4*k[866]*y[:,4] - k[868]*y[:,65])
dfdy[indx[4], indx[5]] = -(-k[101]*y[:,4] - k[103]*y[:,4] + k[289]*y[:,32] + k[82]*y[:,17])
- dfdy[indx[4], indx[6]] = -(-M*k[705]*y[:,4] + k[102]*y[:,2] + k[287]*y[:,32] + k[385]*y[:,25] + k[42]*y[:,17] - k[740]*y[:,4])
- dfdy[indx[4], indx[7]] = -(k[106]*y[:,2] - k[147]*y[:,4] - k[173]*y[:,4] + k[58]*y[:,17])
- dfdy[indx[4], indx[8]] = -(-k[105]*y[:,4] + k[107]*y[:,2] + k[126]*y[:,21] - k[137]*y[:,4] + k[384]*y[:,25])
+ dfdy[indx[4], indx[6]] = -(-M*k[769]*y[:,4] + k[102]*y[:,0] + k[287]*y[:,32] + k[383]*y[:,25] + k[42]*y[:,17] - k[802]*y[:,4])
+ dfdy[indx[4], indx[7]] = -(k[106]*y[:,0] - k[147]*y[:,4] - k[173]*y[:,4] + k[58]*y[:,17] + k[596]*y[:,20] + k[598]*y[:,21])
+ dfdy[indx[4], indx[8]] = -(-k[105]*y[:,4] + k[107]*y[:,0] + k[126]*y[:,21] - k[137]*y[:,4] + k[382]*y[:,25])
dfdy[indx[4], indx[9]] = -(-k[108]*y[:,4])
dfdy[indx[4], indx[10]] = -(-k[41]*y[:,4])
- dfdy[indx[4], indx[11]] = -(k[168]*y[:,2] - k[205]*y[:,4] - k[57]*y[:,4] - k[84]*y[:,4])
- dfdy[indx[4], indx[12]] = -(-k[81]*y[:,4] + k[83]*y[:,2])
- dfdy[indx[4], indx[13]] = -(-k[167]*y[:,4] - k[203]*y[:,4])
- dfdy[indx[4], indx[14]] = -(-k[125]*y[:,4])
- dfdy[indx[4], indx[15]] = -(k[110]*y[:,2] - k[443]*y[:,4])
+ dfdy[indx[4], indx[11]] = -(k[168]*y[:,0] - k[205]*y[:,4] - k[57]*y[:,4] - k[84]*y[:,4])
+ dfdy[indx[4], indx[12]] = -(-k[81]*y[:,4] + k[83]*y[:,0])
+ dfdy[indx[4], indx[13]] = -(-k[167]*y[:,4] - k[203]*y[:,4] - k[597]*y[:,4])
+ dfdy[indx[4], indx[14]] = -(-k[125]*y[:,4] - k[595]*y[:,4])
+ dfdy[indx[4], indx[15]] = -(k[110]*y[:,0] - k[441]*y[:,4])
dfdy[indx[4], indx[16]] = -(-k[109]*y[:,4])
- dfdy[indx[4], indx[17]] = -(-M*k[641]*y[:,4] + M*k[706] + k[104]*y[:,0] + k[148]*y[:,0]**2 + k[174]*y[:,3] + k[276]*y[:,28] + k[324]*y[:,29] - k[386]*y[:,4] + k[42]*y[:,6] + k[58]*y[:,7] + k[739] - k[746]*y[:,4] + k[82]*y[:,5])
- dfdy[indx[4], indx[18]] = -(M*k[642] + k[581]*y[:,60] - k[582]*y[:,4] + k[745])
+ dfdy[indx[4], indx[17]] = -(-M*k[691]*y[:,4] + M*k[770] + k[104]*y[:,3] + k[148]*y[:,3]**2 + k[174]*y[:,1] + k[276]*y[:,28] + k[322]*y[:,29] - k[384]*y[:,4] + k[42]*y[:,6] + k[58]*y[:,7] + k[801] - k[808]*y[:,4] + k[82]*y[:,5])
+ dfdy[indx[4], indx[18]] = -(M*k[692] + k[623]*y[:,65] - k[624]*y[:,4] + k[807])
dfdy[indx[4], indx[19]] = -(0)
- dfdy[indx[4], indx[20]] = -(k[138]*y[:,0] + k[140]*y[:,2] - k[209]*y[:,4])
- dfdy[indx[4], indx[21]] = -(k[126]*y[:,8] + k[210]*y[:,2])
- dfdy[indx[4], indx[22]] = -(-k[139]*y[:,4] - k[383]*y[:,4])
+ dfdy[indx[4], indx[20]] = -(k[138]*y[:,3] + k[140]*y[:,0] - k[209]*y[:,4] + k[596]*y[:,7])
+ dfdy[indx[4], indx[21]] = -(k[126]*y[:,8] + k[210]*y[:,0] + k[546]*y[:,31] + k[598]*y[:,7])
+ dfdy[indx[4], indx[22]] = -(-k[139]*y[:,4] - k[381]*y[:,4])
dfdy[indx[4], indx[23]] = -(0)
dfdy[indx[4], indx[24]] = -(0)
- dfdy[indx[4], indx[25]] = -(2*M*k[714] + k[198]*y[:,0] + k[384]*y[:,8] + k[385]*y[:,6] + k[395]*y[:,28] + k[399]*y[:,29] + k[404]*y[:,32] + k[406]*y[:,34] + k[514]*y[:,2] + 2*k[803] + k[805])
- dfdy[indx[4], indx[26]] = -(k[204]*y[:,0])
- dfdy[indx[4], indx[27]] = -(k[206]*y[:,0])
- dfdy[indx[4], indx[28]] = -(-M*k[709]*y[:,4] + k[258]*y[:,2] + k[276]*y[:,17] + k[279]*y[:,32] + k[395]*y[:,25] - k[792]*y[:,4])
- dfdy[indx[4], indx[29]] = -(-k[257]*y[:,4] - k[259]*y[:,4] + k[271]*y[:,2] + k[324]*y[:,17] + k[376]*y[:,32] + k[399]*y[:,25])
- dfdy[indx[4], indx[30]] = -(k[265]*y[:,2] - k[275]*y[:,4] - k[288]*y[:,4])
- dfdy[indx[4], indx[31]] = -(-k[266]*y[:,4] - k[290]*y[:,4] - k[323]*y[:,4] - k[477]*y[:,4])
- dfdy[indx[4], indx[32]] = -(-M*k[677]*y[:,4] + M*k[710] + k[260]*y[:,0] + k[279]*y[:,28] + k[287]*y[:,6] + k[289]*y[:,5] + k[310]*y[:,3] + k[376]*y[:,29] - k[396]*y[:,4] + k[404]*y[:,25] + k[452]*y[:,2] + k[791] - k[794]*y[:,4])
- dfdy[indx[4], indx[33]] = -(k[262]*y[:,2] - k[272]*y[:,4] - k[309]*y[:,4] - k[493]*y[:,4])
- dfdy[indx[4], indx[34]] = -(-M*k[680]*y[:,4] - k[280]*y[:,4] + k[350]*y[:,2] + k[406]*y[:,25])
+ dfdy[indx[4], indx[25]] = -(2*M*k[776] + k[198]*y[:,3] + k[382]*y[:,8] + k[383]*y[:,6] + k[393]*y[:,28] + k[397]*y[:,29] + k[402]*y[:,32] + k[404]*y[:,34] + k[512]*y[:,0] + k[649]*y[:,67] + 2*k[865] + k[867])
+ dfdy[indx[4], indx[26]] = -(k[204]*y[:,3])
+ dfdy[indx[4], indx[27]] = -(k[206]*y[:,3])
+ dfdy[indx[4], indx[28]] = -(-M*k[773]*y[:,4] + k[258]*y[:,0] + k[276]*y[:,17] + k[279]*y[:,32] + k[393]*y[:,25] + k[607]*y[:,43] - k[854]*y[:,4])
+ dfdy[indx[4], indx[29]] = -(-k[257]*y[:,4] - k[259]*y[:,4] + k[271]*y[:,0] + k[322]*y[:,17] + k[374]*y[:,32] + k[397]*y[:,25])
+ dfdy[indx[4], indx[30]] = -(k[265]*y[:,0] - k[275]*y[:,4] - k[288]*y[:,4])
+ dfdy[indx[4], indx[31]] = -(-k[266]*y[:,4] - k[290]*y[:,4] - k[321]*y[:,4] - k[475]*y[:,4] + k[546]*y[:,21])
+ dfdy[indx[4], indx[32]] = -(-M*k[727]*y[:,4] + M*k[774] + k[260]*y[:,3] + k[279]*y[:,28] + k[287]*y[:,6] + k[289]*y[:,5] + k[310]*y[:,1] + k[374]*y[:,29] - k[394]*y[:,4] + k[402]*y[:,25] + k[450]*y[:,0] - k[650]*y[:,4] + k[853] - k[856]*y[:,4])
+ dfdy[indx[4], indx[33]] = -(k[262]*y[:,0] - k[272]*y[:,4] - k[309]*y[:,4] - k[491]*y[:,4])
+ dfdy[indx[4], indx[34]] = -(-M*k[730]*y[:,4] - k[280]*y[:,4] + k[348]*y[:,0] + k[404]*y[:,25] + k[631]*y[:,65] - k[632]*y[:,4])
dfdy[indx[4], indx[35]] = -(-k[261]*y[:,4])
- dfdy[indx[4], indx[36]] = -(0)
- dfdy[indx[4], indx[37]] = -(k[340]*y[:,2] - k[357]*y[:,4])
- dfdy[indx[4], indx[38]] = -(-k[349]*y[:,4] + k[358]*y[:,2] - k[375]*y[:,4])
- dfdy[indx[4], indx[39]] = -(-k[339]*y[:,4])
- dfdy[indx[4], indx[40]] = -(0)
- dfdy[indx[4], indx[41]] = -(-k[400]*y[:,4] - k[451]*y[:,4] + k[494]*y[:,0])
- dfdy[indx[4], indx[42]] = -(-k[483]*y[:,4])
- dfdy[indx[4], indx[43]] = -(M*k[678] - k[403]*y[:,4] + k[793])
- dfdy[indx[4], indx[44]] = -(M*k[679] - k[405]*y[:,4])
+ dfdy[indx[4], indx[36]] = -(k[338]*y[:,0] - k[355]*y[:,4])
+ dfdy[indx[4], indx[37]] = -(-k[347]*y[:,4] + k[356]*y[:,0] - k[373]*y[:,4])
+ dfdy[indx[4], indx[38]] = -(-k[337]*y[:,4])
+ dfdy[indx[4], indx[39]] = -(0)
+ dfdy[indx[4], indx[40]] = -(-k[398]*y[:,4] - k[449]*y[:,4] + k[492]*y[:,3])
+ dfdy[indx[4], indx[41]] = -(0)
+ dfdy[indx[4], indx[42]] = -(-k[481]*y[:,4])
+ dfdy[indx[4], indx[43]] = -(M*k[728] - k[401]*y[:,4] + k[607]*y[:,28] + k[855])
+ dfdy[indx[4], indx[44]] = -(M*k[729] - k[403]*y[:,4] - k[608]*y[:,4])
dfdy[indx[4], indx[45]] = -(0)
dfdy[indx[4], indx[46]] = -(0)
dfdy[indx[4], indx[47]] = -(0)
dfdy[indx[4], indx[48]] = -(0)
- dfdy[indx[4], indx[49]] = -(k[444]*y[:,0])
+ dfdy[indx[4], indx[49]] = -(k[442]*y[:,3])
dfdy[indx[4], indx[50]] = -(0)
- dfdy[indx[4], indx[51]] = -(k[478]*y[:,0] + k[484]*y[:,2])
- dfdy[indx[4], indx[52]] = -(k[499]*y[:,0] + k[506]*y[:,2] - k[513]*y[:,4] + k[801])
- dfdy[indx[4], indx[53]] = -(-k[505]*y[:,4])
+ dfdy[indx[4], indx[51]] = -(k[476]*y[:,3] + k[482]*y[:,0])
+ dfdy[indx[4], indx[52]] = -(k[497]*y[:,3] + k[504]*y[:,0] - k[511]*y[:,4] + k[863])
+ dfdy[indx[4], indx[53]] = -(-k[503]*y[:,4])
dfdy[indx[4], indx[54]] = -(0)
- dfdy[indx[4], indx[55]] = -(-k[535]*y[:,4])
- dfdy[indx[4], indx[56]] = -(k[536]*y[:,2])
+ dfdy[indx[4], indx[55]] = -(-k[533]*y[:,4])
+ dfdy[indx[4], indx[56]] = -(k[534]*y[:,0] - k[545]*y[:,4])
dfdy[indx[4], indx[57]] = -(0)
dfdy[indx[4], indx[58]] = -(0)
dfdy[indx[4], indx[59]] = -(0)
- dfdy[indx[4], indx[60]] = -(k[581]*y[:,18] - k[806]*y[:,4])
+ dfdy[indx[4], indx[60]] = -(0)
dfdy[indx[4], indx[61]] = -(0)
dfdy[indx[4], indx[62]] = -(0)
dfdy[indx[4], indx[63]] = -(0)
dfdy[indx[4], indx[64]] = -(0)
- dfdy[indx[5], indx[0]] = -(-M*k[613]*y[:,5] + M*k[628]*y[:,6] + k[104]*y[:,17] + k[16]*y[:,10] + k[220]*y[:,30] + k[22]*y[:,11] + k[28]*y[:,14] + k[442]*y[:,20] + k[572]*y[:,59] - k[734]*y[:,3]*y[:,5] - k[7]*y[:,5] - k[814]*y[:,5] + k[9]*y[:,7])
- dfdy[indx[5], indx[1]] = -(-M*k[647]*y[:,5] - k[114]*y[:,5] - k[441]*y[:,5])
- dfdy[indx[5], indx[2]] = -(k[102]*y[:,6] + k[113]*y[:,7])
- dfdy[indx[5], indx[3]] = -(-M*k[631]*y[:,5] - k[10]*y[:,5] + k[40]*y[:,11] - k[734]*y[:,0]*y[:,5] - k[736]*y[:,5] + k[8]*y[:,6])
+ dfdy[indx[4], indx[65]] = -(k[623]*y[:,18] + k[631]*y[:,34] - k[868]*y[:,4])
+ dfdy[indx[4], indx[66]] = -(0)
+ dfdy[indx[4], indx[67]] = -(k[649]*y[:,25])
+ dfdy[indx[4], indx[68]] = -(0)
+ dfdy[indx[5], indx[0]] = -(k[102]*y[:,6] + k[113]*y[:,7])
+ dfdy[indx[5], indx[1]] = -(-M*k[681]*y[:,5] - k[10]*y[:,5] + k[40]*y[:,11] - k[796]*y[:,3]*y[:,5] - k[798]*y[:,5] + k[8]*y[:,6])
+ dfdy[indx[5], indx[2]] = -(-M*k[697]*y[:,5] - k[114]*y[:,5] - k[439]*y[:,5])
+ dfdy[indx[5], indx[3]] = -(-M*k[663]*y[:,5] + M*k[678]*y[:,6] + k[104]*y[:,17] + k[16]*y[:,10] + k[220]*y[:,30] + k[22]*y[:,11] + k[28]*y[:,14] + k[440]*y[:,20] + k[572]*y[:,59] + k[584]*y[:,61] - k[796]*y[:,1]*y[:,5] - k[7]*y[:,5] - k[872]*y[:,5] + k[9]*y[:,7])
dfdy[indx[5], indx[4]] = -(-k[101]*y[:,5] - k[103]*y[:,5] + k[290]*y[:,31] + k[81]*y[:,12])
- dfdy[indx[5], indx[5]] = -(-M*k[613]*y[:,0] - M*k[627] - M*k[631]*y[:,3] - M*k[647]*y[:,1] - k[101]*y[:,4] - k[103]*y[:,4] - k[10]*y[:,3] - k[114]*y[:,1] - k[135]*y[:,18] - k[15]*y[:,6] - k[169]*y[:,14] - k[217]*y[:,28] - k[219]*y[:,28] - k[21]*y[:,7] - k[222]*y[:,29] - k[236]*y[:,31] - k[27]*y[:,9] - k[289]*y[:,32] - k[291]*y[:,32] - k[315]*y[:,35] - k[39]*y[:,8] - k[441]*y[:,1] - k[46]*y[:,8] - k[571]*y[:,11] - k[734]*y[:,0]*y[:,3] - k[736]*y[:,3] - k[78]*y[:,11] - k[7]*y[:,0] - k[814]*y[:,0] - k[82]*y[:,17])
- dfdy[indx[5], indx[6]] = -(M*k[628]*y[:,0] + k[102]*y[:,2] - k[15]*y[:,5] + k[218]*y[:,29] + k[8]*y[:,3])
- dfdy[indx[5], indx[7]] = -(M*k[614] + k[113]*y[:,2] - k[21]*y[:,5] + k[221]*y[:,28] + k[235]*y[:,30] + k[316]*y[:,33] + 2*k[45]*y[:,7] + k[77]*y[:,12] + k[813] + k[9]*y[:,0])
- dfdy[indx[5], indx[8]] = -(M*k[632] + k[170]*y[:,11] - k[39]*y[:,5] - k[46]*y[:,5] + k[735])
- dfdy[indx[5], indx[9]] = -(-k[27]*y[:,5] + k[733])
- dfdy[indx[5], indx[10]] = -(k[16]*y[:,0])
- dfdy[indx[5], indx[11]] = -(k[170]*y[:,8] + k[22]*y[:,0] + k[40]*y[:,3] - k[571]*y[:,5] - k[78]*y[:,5])
+ dfdy[indx[5], indx[5]] = -(-M*k[663]*y[:,3] - M*k[677] - M*k[681]*y[:,1] - M*k[697]*y[:,2] - k[101]*y[:,4] - k[103]*y[:,4] - k[10]*y[:,1] - k[114]*y[:,2] - k[135]*y[:,18] - k[15]*y[:,6] - k[169]*y[:,14] - k[217]*y[:,28] - k[219]*y[:,28] - k[21]*y[:,7] - k[222]*y[:,29] - k[236]*y[:,31] - k[27]*y[:,9] - k[289]*y[:,32] - k[291]*y[:,32] - k[315]*y[:,35] - k[39]*y[:,8] - k[439]*y[:,2] - k[46]*y[:,8] - k[571]*y[:,11] - k[583]*y[:,58] - k[78]*y[:,11] - k[796]*y[:,1]*y[:,3] - k[798]*y[:,1] - k[7]*y[:,3] - k[82]*y[:,17] - k[872]*y[:,3])
+ dfdy[indx[5], indx[6]] = -(M*k[678]*y[:,3] + k[102]*y[:,0] - k[15]*y[:,5] + k[218]*y[:,29] + k[8]*y[:,1])
+ dfdy[indx[5], indx[7]] = -(M*k[664] + k[113]*y[:,0] - k[21]*y[:,5] + k[221]*y[:,28] + k[235]*y[:,30] + k[316]*y[:,33] + 2*k[45]*y[:,7] + k[77]*y[:,12] + k[871] + k[9]*y[:,3])
+ dfdy[indx[5], indx[8]] = -(M*k[682] + k[170]*y[:,11] - k[39]*y[:,5] - k[46]*y[:,5] + k[797])
+ dfdy[indx[5], indx[9]] = -(-k[27]*y[:,5] + k[795])
+ dfdy[indx[5], indx[10]] = -(k[16]*y[:,3])
+ dfdy[indx[5], indx[11]] = -(k[170]*y[:,8] + k[22]*y[:,3] + k[40]*y[:,1] - k[571]*y[:,5] - k[78]*y[:,5])
dfdy[indx[5], indx[12]] = -(k[77]*y[:,7] + k[81]*y[:,4])
dfdy[indx[5], indx[13]] = -(0)
- dfdy[indx[5], indx[14]] = -(-k[169]*y[:,5] + k[28]*y[:,0])
+ dfdy[indx[5], indx[14]] = -(-k[169]*y[:,5] + k[28]*y[:,3])
dfdy[indx[5], indx[15]] = -(0)
dfdy[indx[5], indx[16]] = -(0)
- dfdy[indx[5], indx[17]] = -(k[104]*y[:,0] + k[136]*y[:,21] + k[292]*y[:,29] - k[82]*y[:,5])
+ dfdy[indx[5], indx[17]] = -(k[104]*y[:,3] + k[136]*y[:,21] + k[292]*y[:,29] - k[82]*y[:,5])
dfdy[indx[5], indx[18]] = -(-k[135]*y[:,5])
- dfdy[indx[5], indx[19]] = -(M*k[648])
- dfdy[indx[5], indx[20]] = -(k[442]*y[:,0])
+ dfdy[indx[5], indx[19]] = -(M*k[698])
+ dfdy[indx[5], indx[20]] = -(k[440]*y[:,3])
dfdy[indx[5], indx[21]] = -(k[136]*y[:,17])
dfdy[indx[5], indx[22]] = -(0)
dfdy[indx[5], indx[23]] = -(0)
@@ -7814,7 +8612,7 @@ def neg_symjac(y, M, k):
dfdy[indx[5], indx[27]] = -(0)
dfdy[indx[5], indx[28]] = -(-k[217]*y[:,5] - k[219]*y[:,5] + k[221]*y[:,7])
dfdy[indx[5], indx[29]] = -(k[218]*y[:,6] - k[222]*y[:,5] + k[292]*y[:,17])
- dfdy[indx[5], indx[30]] = -(k[220]*y[:,0] + k[235]*y[:,7])
+ dfdy[indx[5], indx[30]] = -(k[220]*y[:,3] + k[235]*y[:,7])
dfdy[indx[5], indx[31]] = -(-k[236]*y[:,5] + k[290]*y[:,4])
dfdy[indx[5], indx[32]] = -(-k[289]*y[:,5] - k[291]*y[:,5])
dfdy[indx[5], indx[33]] = -(k[316]*y[:,7])
@@ -7842,31 +8640,35 @@ def neg_symjac(y, M, k):
dfdy[indx[5], indx[55]] = -(0)
dfdy[indx[5], indx[56]] = -(0)
dfdy[indx[5], indx[57]] = -(0)
- dfdy[indx[5], indx[58]] = -(0)
- dfdy[indx[5], indx[59]] = -(k[572]*y[:,0])
+ dfdy[indx[5], indx[58]] = -(-k[583]*y[:,5])
+ dfdy[indx[5], indx[59]] = -(k[572]*y[:,3])
dfdy[indx[5], indx[60]] = -(0)
- dfdy[indx[5], indx[61]] = -(0)
+ dfdy[indx[5], indx[61]] = -(k[584]*y[:,3])
dfdy[indx[5], indx[62]] = -(0)
dfdy[indx[5], indx[63]] = -(0)
dfdy[indx[5], indx[64]] = -(0)
- dfdy[indx[6], indx[0]] = -(-M*k[628]*y[:,6] + k[112]*y[:,17] + k[16]*y[:,10] + k[18]*y[:,11] + k[302]*y[:,30] + k[7]*y[:,5])
- dfdy[indx[6], indx[1]] = -(0)
- dfdy[indx[6], indx[2]] = -(-k[102]*y[:,6] - k[111]*y[:,6])
- dfdy[indx[6], indx[3]] = -(-M*k[625]*y[:,6] - k[8]*y[:,6])
- dfdy[indx[6], indx[4]] = -(-M*k[705]*y[:,6] + k[101]*y[:,5] + k[288]*y[:,30] + k[386]*y[:,17] + k[41]*y[:,10] - k[740]*y[:,6])
- dfdy[indx[6], indx[5]] = -(M*k[627] + k[101]*y[:,4] - k[15]*y[:,6] + k[217]*y[:,28] + k[7]*y[:,0])
- dfdy[indx[6], indx[6]] = -(-M*k[625]*y[:,3] - M*k[628]*y[:,0] - 4*M*k[689]*y[:,6] - M*k[705]*y[:,4] - k[102]*y[:,2] - k[111]*y[:,2] - k[15]*y[:,5] - k[17]*y[:,8] - k[218]*y[:,29] - k[226]*y[:,30] - k[284]*y[:,34] - k[287]*y[:,32] - k[301]*y[:,29] - k[385]*y[:,25] - k[42]*y[:,17] - k[740]*y[:,4] - k[8]*y[:,3])
- dfdy[indx[6], indx[7]] = -(M*k[626])
+ dfdy[indx[5], indx[65]] = -(0)
+ dfdy[indx[5], indx[66]] = -(0)
+ dfdy[indx[5], indx[67]] = -(0)
+ dfdy[indx[5], indx[68]] = -(0)
+ dfdy[indx[6], indx[0]] = -(-k[102]*y[:,6] - k[111]*y[:,6])
+ dfdy[indx[6], indx[1]] = -(-M*k[675]*y[:,6] - k[8]*y[:,6])
+ dfdy[indx[6], indx[2]] = -(0)
+ dfdy[indx[6], indx[3]] = -(-M*k[678]*y[:,6] + k[112]*y[:,17] + k[16]*y[:,10] + k[18]*y[:,11] + k[302]*y[:,30] + k[7]*y[:,5])
+ dfdy[indx[6], indx[4]] = -(-M*k[769]*y[:,6] + k[101]*y[:,5] + k[288]*y[:,30] + k[384]*y[:,17] + k[41]*y[:,10] - k[802]*y[:,6])
+ dfdy[indx[6], indx[5]] = -(M*k[677] + k[101]*y[:,4] - k[15]*y[:,6] + k[217]*y[:,28] + k[7]*y[:,3])
+ dfdy[indx[6], indx[6]] = -(-M*k[675]*y[:,1] - M*k[678]*y[:,3] - 4*M*k[739]*y[:,6] - M*k[769]*y[:,4] - k[102]*y[:,0] - k[111]*y[:,0] - k[15]*y[:,5] - k[17]*y[:,8] - k[218]*y[:,29] - k[226]*y[:,30] - k[284]*y[:,34] - k[287]*y[:,32] - k[301]*y[:,29] - k[383]*y[:,25] - k[42]*y[:,17] - k[593]*y[:,11] - k[802]*y[:,4] - k[8]*y[:,1])
+ dfdy[indx[6], indx[7]] = -(M*k[676])
dfdy[indx[6], indx[8]] = -(-k[17]*y[:,6])
dfdy[indx[6], indx[9]] = -(0)
- dfdy[indx[6], indx[10]] = -(2*M*k[690] + k[16]*y[:,0] + k[225]*y[:,28] + k[41]*y[:,4])
- dfdy[indx[6], indx[11]] = -(k[18]*y[:,0])
+ dfdy[indx[6], indx[10]] = -(2*M*k[740] + k[16]*y[:,3] + k[225]*y[:,28] + k[41]*y[:,4])
+ dfdy[indx[6], indx[11]] = -(k[18]*y[:,3] - k[593]*y[:,6])
dfdy[indx[6], indx[12]] = -(0)
dfdy[indx[6], indx[13]] = -(0)
dfdy[indx[6], indx[14]] = -(0)
dfdy[indx[6], indx[15]] = -(0)
dfdy[indx[6], indx[16]] = -(0)
- dfdy[indx[6], indx[17]] = -(M*k[706] + k[112]*y[:,0] + k[386]*y[:,4] - k[42]*y[:,6] + k[739])
+ dfdy[indx[6], indx[17]] = -(M*k[770] + k[112]*y[:,3] + k[384]*y[:,4] - k[42]*y[:,6] + k[801])
dfdy[indx[6], indx[18]] = -(0)
dfdy[indx[6], indx[19]] = -(0)
dfdy[indx[6], indx[20]] = -(0)
@@ -7874,12 +8676,12 @@ def neg_symjac(y, M, k):
dfdy[indx[6], indx[22]] = -(0)
dfdy[indx[6], indx[23]] = -(0)
dfdy[indx[6], indx[24]] = -(0)
- dfdy[indx[6], indx[25]] = -(-k[385]*y[:,6])
+ dfdy[indx[6], indx[25]] = -(-k[383]*y[:,6])
dfdy[indx[6], indx[26]] = -(0)
dfdy[indx[6], indx[27]] = -(0)
dfdy[indx[6], indx[28]] = -(k[217]*y[:,5] + k[225]*y[:,10] + k[283]*y[:,30])
dfdy[indx[6], indx[29]] = -(-k[218]*y[:,6] - k[301]*y[:,6])
- dfdy[indx[6], indx[30]] = -(-k[226]*y[:,6] + k[283]*y[:,28] + k[288]*y[:,4] + k[302]*y[:,0])
+ dfdy[indx[6], indx[30]] = -(-k[226]*y[:,6] + k[283]*y[:,28] + k[288]*y[:,4] + k[302]*y[:,3])
dfdy[indx[6], indx[31]] = -(0)
dfdy[indx[6], indx[32]] = -(-k[287]*y[:,6])
dfdy[indx[6], indx[33]] = -(0)
@@ -7908,55 +8710,59 @@ def neg_symjac(y, M, k):
dfdy[indx[6], indx[56]] = -(0)
dfdy[indx[6], indx[57]] = -(0)
dfdy[indx[6], indx[58]] = -(0)
- dfdy[indx[6], indx[59]] = -(0)
+ dfdy[indx[6], indx[59]] = -(k[594])
dfdy[indx[6], indx[60]] = -(0)
dfdy[indx[6], indx[61]] = -(0)
dfdy[indx[6], indx[62]] = -(0)
dfdy[indx[6], indx[63]] = -(0)
dfdy[indx[6], indx[64]] = -(0)
- dfdy[indx[7], indx[0]] = -(M*k[613]*y[:,5] - M*k[629]*y[:,7] + k[12]*y[:,8] + 2*k[148]*y[:,0]*y[:,17] + k[150]*y[:,20] + k[207]*y[:,27] + k[224]*y[:,31] + k[22]*y[:,11] + k[30]*y[:,14] + k[364]*y[:,42] + 4*k[44]*y[:,0]*y[:,11] + 2*k[48]*y[:,13] + k[568]*y[:,58] + k[570]*y[:,59] + k[814]*y[:,5] - k[9]*y[:,7])
- dfdy[indx[7], indx[1]] = -(k[114]*y[:,5] + k[388]*y[:,17] - k[54]*y[:,7] + k[593]*y[:,61] - k[594]*y[:,7])
- dfdy[indx[7], indx[2]] = -(-k[106]*y[:,7] - k[113]*y[:,7] - k[149]*y[:,7] + k[178]*y[:,14] + k[53]*y[:,8] + k[55]*y[:,12])
- dfdy[indx[7], indx[3]] = -(M*k[625]*y[:,6] + k[10]*y[:,5] - k[11]*y[:,7] + k[174]*y[:,17] + k[566]*y[:,59] + k[591]*y[:,61] - k[592]*y[:,7])
- dfdy[indx[7], indx[4]] = -(k[105]*y[:,8] - k[147]*y[:,7] - k[173]*y[:,7] + k[57]*y[:,11])
- dfdy[indx[7], indx[5]] = -(M*k[613]*y[:,0] + k[10]*y[:,3] + k[114]*y[:,1] - k[21]*y[:,7] + k[222]*y[:,29] + k[236]*y[:,31] + k[315]*y[:,35] + 2*k[46]*y[:,8] + k[78]*y[:,11] + k[814]*y[:,0])
- dfdy[indx[7], indx[6]] = -(M*k[625]*y[:,3])
- dfdy[indx[7], indx[7]] = -(-M*k[614] - M*k[626] - M*k[629]*y[:,0] - k[106]*y[:,2] - k[113]*y[:,2] - k[11]*y[:,3] - k[147]*y[:,4] - k[149]*y[:,2] - k[151]*y[:,18] - k[171]*y[:,13] - k[173]*y[:,4] - k[175]*y[:,21] - k[177]*y[:,19] - k[179]*y[:,19] - k[181]*y[:,22] - k[183]*y[:,23] - k[185]*y[:,23] - k[208]*y[:,17] - k[21]*y[:,5] - k[221]*y[:,28] - k[223]*y[:,28] - k[235]*y[:,30] - k[242]*y[:,31] - k[285]*y[:,34] - k[29]*y[:,8] - k[316]*y[:,33] - k[363]*y[:,32] - k[374]*y[:,35] - k[387]*y[:,25] - 4*k[43]*y[:,7] - 4*k[45]*y[:,7] - 4*k[47]*y[:,7] - k[49]*y[:,9] - k[51]*y[:,15] - k[54]*y[:,1] - k[565]*y[:,11] - k[567]*y[:,11] - k[569]*y[:,12] - k[56]*y[:,17] - k[58]*y[:,17] - k[592]*y[:,3] - k[594]*y[:,1] - k[596]*y[:,17] - k[60]*y[:,11] - k[77]*y[:,12] - k[813] - k[9]*y[:,0])
- dfdy[indx[7], indx[8]] = -(M*k[630] + k[105]*y[:,4] + k[12]*y[:,0] + k[172]*y[:,11] + k[176]*y[:,17] + k[180]*y[:,20] + k[182]*y[:,20] + k[184]*y[:,22] + k[186]*y[:,19] + k[241]*y[:,30] - k[29]*y[:,7] + k[373]*y[:,33] + 2*k[46]*y[:,5] + 2*k[50]*y[:,8] + k[52]*y[:,14] + k[53]*y[:,2] + k[59]*y[:,12])
+ dfdy[indx[6], indx[65]] = -(0)
+ dfdy[indx[6], indx[66]] = -(0)
+ dfdy[indx[6], indx[67]] = -(0)
+ dfdy[indx[6], indx[68]] = -(0)
+ dfdy[indx[7], indx[0]] = -(-k[106]*y[:,7] - k[113]*y[:,7] - k[149]*y[:,7] + k[178]*y[:,14] + k[53]*y[:,8] + k[55]*y[:,12])
+ dfdy[indx[7], indx[1]] = -(M*k[675]*y[:,6] + k[10]*y[:,5] - k[11]*y[:,7] + k[174]*y[:,17] + k[566]*y[:,59] + k[635]*y[:,66] - k[636]*y[:,7])
+ dfdy[indx[7], indx[2]] = -(k[114]*y[:,5] + k[386]*y[:,17] - k[54]*y[:,7] + k[637]*y[:,66] - k[638]*y[:,7])
+ dfdy[indx[7], indx[3]] = -(M*k[663]*y[:,5] - M*k[679]*y[:,7] + k[12]*y[:,8] + 2*k[148]*y[:,17]*y[:,3] + k[150]*y[:,20] + k[207]*y[:,27] + k[224]*y[:,31] + k[22]*y[:,11] + k[30]*y[:,14] + k[362]*y[:,42] + 4*k[44]*y[:,11]*y[:,3] + 2*k[48]*y[:,13] + k[568]*y[:,58] + k[570]*y[:,59] + k[872]*y[:,5] - k[9]*y[:,7])
+ dfdy[indx[7], indx[4]] = -(k[105]*y[:,8] - k[147]*y[:,7] - k[173]*y[:,7] + k[57]*y[:,11] + k[595]*y[:,14] + k[597]*y[:,13])
+ dfdy[indx[7], indx[5]] = -(M*k[663]*y[:,3] + k[10]*y[:,1] + k[114]*y[:,2] - k[21]*y[:,7] + k[222]*y[:,29] + k[236]*y[:,31] + k[315]*y[:,35] + 2*k[46]*y[:,8] + k[78]*y[:,11] + k[872]*y[:,3])
+ dfdy[indx[7], indx[6]] = -(M*k[675]*y[:,1])
+ dfdy[indx[7], indx[7]] = -(-M*k[664] - M*k[676] - M*k[679]*y[:,3] - M*k[757]*y[:,11] - k[106]*y[:,0] - k[113]*y[:,0] - k[11]*y[:,1] - k[147]*y[:,4] - k[149]*y[:,0] - k[151]*y[:,18] - k[171]*y[:,13] - k[173]*y[:,4] - k[175]*y[:,21] - k[177]*y[:,19] - k[179]*y[:,19] - k[181]*y[:,22] - k[183]*y[:,23] - k[185]*y[:,23] - k[208]*y[:,17] - k[21]*y[:,5] - k[221]*y[:,28] - k[223]*y[:,28] - k[235]*y[:,30] - k[242]*y[:,31] - k[285]*y[:,34] - k[29]*y[:,8] - k[316]*y[:,33] - k[361]*y[:,32] - k[372]*y[:,35] - k[385]*y[:,25] - 4*k[43]*y[:,7] - 4*k[45]*y[:,7] - 4*k[47]*y[:,7] - k[49]*y[:,9] - k[51]*y[:,15] - k[54]*y[:,2] - k[565]*y[:,11] - k[567]*y[:,11] - k[569]*y[:,12] - k[56]*y[:,17] - k[58]*y[:,17] - k[596]*y[:,20] - k[598]*y[:,21] - k[60]*y[:,11] - k[636]*y[:,1] - k[638]*y[:,2] - k[640]*y[:,17] - k[77]*y[:,12] - k[871] - k[9]*y[:,3])
+ dfdy[indx[7], indx[8]] = -(M*k[680] + k[105]*y[:,4] + k[12]*y[:,3] + k[172]*y[:,11] + k[176]*y[:,17] + k[180]*y[:,20] + k[182]*y[:,20] + k[184]*y[:,22] + k[186]*y[:,19] + k[241]*y[:,30] - k[29]*y[:,7] + k[371]*y[:,33] + 2*k[46]*y[:,5] + 2*k[50]*y[:,8] + k[52]*y[:,14] + k[53]*y[:,0] + k[59]*y[:,12])
dfdy[indx[7], indx[9]] = -(-k[49]*y[:,7])
dfdy[indx[7], indx[10]] = -(0)
- dfdy[indx[7], indx[11]] = -(k[172]*y[:,8] + k[22]*y[:,0] + 2*k[44]*y[:,0]**2 - k[565]*y[:,7] - k[567]*y[:,7] + k[57]*y[:,4] - k[60]*y[:,7] + k[78]*y[:,5])
- dfdy[indx[7], indx[12]] = -(k[55]*y[:,2] - k[569]*y[:,7] + k[59]*y[:,8] - k[77]*y[:,7])
- dfdy[indx[7], indx[13]] = -(-k[171]*y[:,7] + 2*k[48]*y[:,0])
- dfdy[indx[7], indx[14]] = -(k[178]*y[:,2] + k[30]*y[:,0] + k[52]*y[:,8])
+ dfdy[indx[7], indx[11]] = -(-M*k[757]*y[:,7] + k[172]*y[:,8] + k[22]*y[:,3] + 2*k[44]*y[:,3]**2 - k[565]*y[:,7] - k[567]*y[:,7] + k[57]*y[:,4] - k[60]*y[:,7] + k[78]*y[:,5])
+ dfdy[indx[7], indx[12]] = -(k[55]*y[:,0] - k[569]*y[:,7] + k[59]*y[:,8] - k[77]*y[:,7])
+ dfdy[indx[7], indx[13]] = -(-k[171]*y[:,7] + 2*k[48]*y[:,3] + k[597]*y[:,4])
+ dfdy[indx[7], indx[14]] = -(k[178]*y[:,0] + k[30]*y[:,3] + k[52]*y[:,8] + k[595]*y[:,4])
dfdy[indx[7], indx[15]] = -(-k[51]*y[:,7])
dfdy[indx[7], indx[16]] = -(0)
- dfdy[indx[7], indx[17]] = -(k[148]*y[:,0]**2 + k[152]*y[:,20] + k[174]*y[:,3] + k[176]*y[:,8] - k[208]*y[:,7] + k[388]*y[:,1] - k[56]*y[:,7] - k[58]*y[:,7] + k[595]*y[:,61] - k[596]*y[:,7])
+ dfdy[indx[7], indx[17]] = -(k[148]*y[:,3]**2 + k[152]*y[:,20] + k[174]*y[:,1] + k[176]*y[:,8] - k[208]*y[:,7] + k[386]*y[:,2] - k[56]*y[:,7] - k[58]*y[:,7] + k[639]*y[:,66] - k[640]*y[:,7])
dfdy[indx[7], indx[18]] = -(-k[151]*y[:,7])
dfdy[indx[7], indx[19]] = -(-k[177]*y[:,7] - k[179]*y[:,7] + k[186]*y[:,8])
- dfdy[indx[7], indx[20]] = -(k[150]*y[:,0] + k[152]*y[:,17] + k[180]*y[:,8] + k[182]*y[:,8])
- dfdy[indx[7], indx[21]] = -(-k[175]*y[:,7])
+ dfdy[indx[7], indx[20]] = -(k[150]*y[:,3] + k[152]*y[:,17] + k[180]*y[:,8] + k[182]*y[:,8] - k[596]*y[:,7])
+ dfdy[indx[7], indx[21]] = -(-k[175]*y[:,7] - k[598]*y[:,7])
dfdy[indx[7], indx[22]] = -(-k[181]*y[:,7] + k[184]*y[:,8])
dfdy[indx[7], indx[23]] = -(-k[183]*y[:,7] - k[185]*y[:,7])
dfdy[indx[7], indx[24]] = -(0)
- dfdy[indx[7], indx[25]] = -(-k[387]*y[:,7])
+ dfdy[indx[7], indx[25]] = -(-k[385]*y[:,7])
dfdy[indx[7], indx[26]] = -(0)
- dfdy[indx[7], indx[27]] = -(k[207]*y[:,0])
+ dfdy[indx[7], indx[27]] = -(k[207]*y[:,3])
dfdy[indx[7], indx[28]] = -(-k[221]*y[:,7] - k[223]*y[:,7])
dfdy[indx[7], indx[29]] = -(k[222]*y[:,5] + k[286]*y[:,31])
dfdy[indx[7], indx[30]] = -(-k[235]*y[:,7] + k[241]*y[:,8])
- dfdy[indx[7], indx[31]] = -(k[224]*y[:,0] + k[236]*y[:,5] - k[242]*y[:,7] + k[286]*y[:,29])
- dfdy[indx[7], indx[32]] = -(-k[363]*y[:,7])
- dfdy[indx[7], indx[33]] = -(-k[316]*y[:,7] + k[373]*y[:,8])
+ dfdy[indx[7], indx[31]] = -(k[224]*y[:,3] + k[236]*y[:,5] - k[242]*y[:,7] + k[286]*y[:,29])
+ dfdy[indx[7], indx[32]] = -(-k[361]*y[:,7])
+ dfdy[indx[7], indx[33]] = -(-k[316]*y[:,7] + k[371]*y[:,8])
dfdy[indx[7], indx[34]] = -(-k[285]*y[:,7])
- dfdy[indx[7], indx[35]] = -(k[315]*y[:,5] - k[374]*y[:,7])
+ dfdy[indx[7], indx[35]] = -(k[315]*y[:,5] - k[372]*y[:,7])
dfdy[indx[7], indx[36]] = -(0)
dfdy[indx[7], indx[37]] = -(0)
dfdy[indx[7], indx[38]] = -(0)
dfdy[indx[7], indx[39]] = -(0)
dfdy[indx[7], indx[40]] = -(0)
dfdy[indx[7], indx[41]] = -(0)
- dfdy[indx[7], indx[42]] = -(k[364]*y[:,0])
+ dfdy[indx[7], indx[42]] = -(k[362]*y[:,3])
dfdy[indx[7], indx[43]] = -(0)
dfdy[indx[7], indx[44]] = -(0)
dfdy[indx[7], indx[45]] = -(0)
@@ -7972,96 +8778,104 @@ def neg_symjac(y, M, k):
dfdy[indx[7], indx[55]] = -(0)
dfdy[indx[7], indx[56]] = -(0)
dfdy[indx[7], indx[57]] = -(0)
- dfdy[indx[7], indx[58]] = -(k[568]*y[:,0])
- dfdy[indx[7], indx[59]] = -(k[566]*y[:,3] + k[570]*y[:,0])
- dfdy[indx[7], indx[60]] = -(0)
- dfdy[indx[7], indx[61]] = -(k[591]*y[:,3] + k[593]*y[:,1] + k[595]*y[:,17])
+ dfdy[indx[7], indx[58]] = -(k[568]*y[:,3])
+ dfdy[indx[7], indx[59]] = -(k[566]*y[:,1] + k[570]*y[:,3])
+ dfdy[indx[7], indx[60]] = -(M*k[758])
+ dfdy[indx[7], indx[61]] = -(0)
dfdy[indx[7], indx[62]] = -(0)
dfdy[indx[7], indx[63]] = -(0)
dfdy[indx[7], indx[64]] = -(0)
- dfdy[indx[8], indx[0]] = -(-M*k[615]*y[:,8] + M*k[629]*y[:,7] + k[121]*y[:,19] - k[12]*y[:,8] + k[138]*y[:,20] + k[13]*y[:,9] + k[145]*y[:,23] + k[18]*y[:,11] + k[193]*y[:,24] + k[201]*y[:,26] + k[30]*y[:,14] + 2*k[31]*y[:,15] + k[370]*y[:,36] + k[436]*y[:,46] + k[529]*y[:,55] + k[574]*y[:,58] - k[590]*y[:,8] - k[728]*y[:,8] + k[738]*y[:,61])
- dfdy[indx[8], indx[1]] = -(-k[116]*y[:,8] - k[146]*y[:,8] + k[294]*y[:,31] + k[54]*y[:,7])
- dfdy[indx[8], indx[2]] = -(-M*k[719]*y[:,8] + k[106]*y[:,7] - k[107]*y[:,8] + k[115]*y[:,9] - k[122]*y[:,8] + k[380]*y[:,36] + k[390]*y[:,20] - k[53]*y[:,8] - k[578]*y[:,8] + k[71]*y[:,11] - k[774]*y[:,8])
- dfdy[indx[8], indx[3]] = -(M*k[631]*y[:,5] + k[11]*y[:,7] - k[14]*y[:,8] + k[372]*y[:,31] + k[40]*y[:,11] + k[434]*y[:,47] + k[589]*y[:,61] + k[736]*y[:,5])
- dfdy[indx[8], indx[4]] = -(-k[105]*y[:,8] + k[108]*y[:,9] + k[125]*y[:,14] - k[137]*y[:,8] + k[383]*y[:,22])
- dfdy[indx[8], indx[5]] = -(M*k[631]*y[:,3] + k[169]*y[:,14] - k[39]*y[:,8] - k[46]*y[:,8] + k[736]*y[:,3])
+ dfdy[indx[7], indx[65]] = -(0)
+ dfdy[indx[7], indx[66]] = -(k[635]*y[:,1] + k[637]*y[:,2] + k[639]*y[:,17])
+ dfdy[indx[7], indx[67]] = -(0)
+ dfdy[indx[7], indx[68]] = -(0)
+ dfdy[indx[8], indx[0]] = -(-M*k[781]*y[:,8] + k[106]*y[:,7] - k[107]*y[:,8] + k[115]*y[:,9] - k[122]*y[:,8] + k[378]*y[:,41] + k[388]*y[:,20] - k[53]*y[:,8] - k[620]*y[:,8] - k[653]*y[:,8] + k[71]*y[:,11] - k[836]*y[:,8])
+ dfdy[indx[8], indx[1]] = -(M*k[681]*y[:,5] + k[11]*y[:,7] - k[14]*y[:,8] + k[370]*y[:,31] + k[40]*y[:,11] + k[432]*y[:,47] + k[633]*y[:,66] + k[798]*y[:,5])
+ dfdy[indx[8], indx[2]] = -(-k[116]*y[:,8] - k[146]*y[:,8] + k[294]*y[:,31] + k[54]*y[:,7] + k[654]*y[:,66])
+ dfdy[indx[8], indx[3]] = -(-M*k[665]*y[:,8] + M*k[679]*y[:,7] + k[121]*y[:,19] - k[12]*y[:,8] + k[138]*y[:,20] + k[13]*y[:,9] + k[145]*y[:,23] + k[18]*y[:,11] + k[193]*y[:,24] + k[201]*y[:,26] + k[30]*y[:,14] + 2*k[31]*y[:,15] + k[368]*y[:,41] + k[434]*y[:,46] + k[527]*y[:,55] + k[574]*y[:,58] + k[582]*y[:,60] + k[612]*y[:,56] - k[634]*y[:,8] - k[790]*y[:,8] + k[800]*y[:,66])
+ dfdy[indx[8], indx[4]] = -(-k[105]*y[:,8] + k[108]*y[:,9] + k[125]*y[:,14] - k[137]*y[:,8] + k[381]*y[:,22])
+ dfdy[indx[8], indx[5]] = -(M*k[681]*y[:,1] + k[169]*y[:,14] - k[39]*y[:,8] - k[46]*y[:,8] + k[798]*y[:,1])
dfdy[indx[8], indx[6]] = -(-k[17]*y[:,8])
- dfdy[indx[8], indx[7]] = -(M*k[629]*y[:,0] + k[106]*y[:,2] + k[11]*y[:,3] + k[171]*y[:,13] + k[175]*y[:,21] + k[179]*y[:,19] + k[181]*y[:,22] + k[183]*y[:,23] + k[185]*y[:,23] + k[242]*y[:,31] - k[29]*y[:,8] + k[374]*y[:,35] + 2*k[45]*y[:,7] + 2*k[49]*y[:,9] + k[51]*y[:,15] + k[54]*y[:,1] + k[60]*y[:,11])
- dfdy[indx[8], indx[8]] = -(-M*k[615]*y[:,0] - M*k[630] - M*k[632] - 4*M*k[633]*y[:,8] - M*k[655]*y[:,17] - M*k[683]*y[:,33] - M*k[719]*y[:,2] - k[105]*y[:,4] - k[107]*y[:,2] - k[116]*y[:,1] - k[122]*y[:,2] - k[126]*y[:,21] - k[127]*y[:,20] - k[129]*y[:,19] - k[12]*y[:,0] - k[137]*y[:,4] - k[146]*y[:,1] - k[14]*y[:,3] - k[154]*y[:,18] - k[170]*y[:,11] - k[172]*y[:,11] - k[176]*y[:,17] - k[17]*y[:,6] - k[180]*y[:,20] - k[182]*y[:,20] - k[184]*y[:,22] - k[186]*y[:,19] - k[187]*y[:,21] - k[189]*y[:,22] - k[191]*y[:,23] - k[194]*y[:,21] - k[195]*y[:,24] - k[202]*y[:,17] - k[237]*y[:,29] - k[239]*y[:,33] - k[241]*y[:,30] - k[244]*y[:,31] - k[293]*y[:,32] - k[29]*y[:,7] - k[308]*y[:,35] - 4*k[32]*y[:,8] - k[333]*y[:,37] - k[369]*y[:,28] - k[371]*y[:,28] - k[373]*y[:,33] - k[379]*y[:,32] - k[384]*y[:,25] - k[389]*y[:,25] - k[39]*y[:,5] - k[415]*y[:,43] - k[425]*y[:,46] - k[433]*y[:,33] - k[435]*y[:,33] - k[437]*y[:,48] - k[46]*y[:,5] - 4*k[50]*y[:,8] - k[516]*y[:,52] - k[52]*y[:,14] - k[530]*y[:,31] - k[53]*y[:,2] - k[548]*y[:,53] - k[554]*y[:,58] - k[556]*y[:,58] - k[573]*y[:,12] - k[578]*y[:,2] - k[590]*y[:,0] - k[59]*y[:,12] - k[62]*y[:,11] - k[63]*y[:,13] - k[66]*y[:,14] - k[67]*y[:,15] - k[69]*y[:,16] - k[728]*y[:,0] - k[72]*y[:,17] - k[735] - k[737] - 4*k[764]*y[:,8] - k[76]*y[:,12] - k[774]*y[:,2] - k[782]*y[:,21])
- dfdy[indx[8], indx[9]] = -(M*k[616] + k[108]*y[:,4] + k[115]*y[:,2] + k[128]*y[:,21] + k[130]*y[:,20] + k[13]*y[:,0] + k[188]*y[:,17] + k[190]*y[:,20] + k[192]*y[:,22] + k[238]*y[:,28] + k[240]*y[:,29] + k[243]*y[:,30] + k[307]*y[:,33] + k[334]*y[:,38] + k[438]*y[:,46] + 2*k[49]*y[:,7] + k[515]*y[:,25] + k[547]*y[:,52] + k[577]*y[:,60] + k[61]*y[:,12] + k[64]*y[:,11] + k[65]*y[:,13] + k[68]*y[:,14] + k[70]*y[:,15] + k[727] + k[75]*y[:,10])
+ dfdy[indx[8], indx[7]] = -(M*k[679]*y[:,3] + k[106]*y[:,0] + k[11]*y[:,1] + k[171]*y[:,13] + k[175]*y[:,21] + k[179]*y[:,19] + k[181]*y[:,22] + k[183]*y[:,23] + k[185]*y[:,23] + k[242]*y[:,31] - k[29]*y[:,8] + k[372]*y[:,35] + 2*k[45]*y[:,7] + 2*k[49]*y[:,9] + k[51]*y[:,15] + k[54]*y[:,2] + k[60]*y[:,11])
+ dfdy[indx[8], indx[8]] = -(-M*k[665]*y[:,3] - M*k[680] - M*k[682] - 4*M*k[683]*y[:,8] - M*k[705]*y[:,17] - M*k[733]*y[:,33] - M*k[781]*y[:,0] - k[105]*y[:,4] - k[107]*y[:,0] - k[116]*y[:,2] - k[122]*y[:,0] - k[126]*y[:,21] - k[127]*y[:,20] - k[129]*y[:,19] - k[12]*y[:,3] - k[137]*y[:,4] - k[146]*y[:,2] - k[14]*y[:,1] - k[154]*y[:,18] - k[170]*y[:,11] - k[172]*y[:,11] - k[176]*y[:,17] - k[17]*y[:,6] - k[180]*y[:,20] - k[182]*y[:,20] - k[184]*y[:,22] - k[186]*y[:,19] - k[187]*y[:,21] - k[189]*y[:,22] - k[191]*y[:,23] - k[194]*y[:,21] - k[195]*y[:,24] - k[202]*y[:,17] - k[237]*y[:,29] - k[239]*y[:,33] - k[241]*y[:,30] - k[244]*y[:,31] - k[293]*y[:,32] - k[29]*y[:,7] - k[308]*y[:,35] - 4*k[32]*y[:,8] - k[331]*y[:,36] - k[367]*y[:,28] - k[369]*y[:,28] - k[371]*y[:,33] - k[377]*y[:,32] - k[382]*y[:,25] - k[387]*y[:,25] - k[39]*y[:,5] - k[413]*y[:,43] - k[423]*y[:,46] - k[431]*y[:,33] - k[433]*y[:,33] - k[435]*y[:,48] - k[46]*y[:,5] - 4*k[50]*y[:,8] - k[513]*y[:,52] - k[528]*y[:,31] - k[52]*y[:,14] - k[53]*y[:,0] - k[548]*y[:,53] - k[554]*y[:,58] - k[556]*y[:,58] - k[573]*y[:,12] - k[579]*y[:,38] - k[581]*y[:,11] - k[592]*y[:,63] - k[59]*y[:,12] - k[611]*y[:,30] - k[620]*y[:,0] - k[62]*y[:,11] - k[634]*y[:,3] - k[63]*y[:,13] - k[653]*y[:,0] - k[66]*y[:,14] - k[67]*y[:,15] - k[69]*y[:,16] - k[72]*y[:,17] - k[76]*y[:,12] - k[790]*y[:,3] - k[797] - k[799] - 4*k[826]*y[:,8] - k[836]*y[:,0] - k[844]*y[:,21])
+ dfdy[indx[8], indx[9]] = -(M*k[666] + k[108]*y[:,4] + k[115]*y[:,0] + k[128]*y[:,21] + k[130]*y[:,20] + k[13]*y[:,3] + k[188]*y[:,17] + k[190]*y[:,20] + k[192]*y[:,22] + k[238]*y[:,28] + k[240]*y[:,29] + k[243]*y[:,30] + k[307]*y[:,33] + k[332]*y[:,37] + k[436]*y[:,46] + 2*k[49]*y[:,7] + k[514]*y[:,25] + k[547]*y[:,52] + k[580]*y[:,36] + k[591]*y[:,64] + k[619]*y[:,65] + k[61]*y[:,12] + k[64]*y[:,11] + k[65]*y[:,13] + k[68]*y[:,14] + k[70]*y[:,15] + k[75]*y[:,10] + k[789])
dfdy[indx[8], indx[10]] = -(k[75]*y[:,9])
- dfdy[indx[8], indx[11]] = -(-k[170]*y[:,8] - k[172]*y[:,8] + k[18]*y[:,0] + k[40]*y[:,3] + k[60]*y[:,7] - k[62]*y[:,8] + k[64]*y[:,9] + k[71]*y[:,2])
+ dfdy[indx[8], indx[11]] = -(-k[170]*y[:,8] - k[172]*y[:,8] + k[18]*y[:,3] + k[40]*y[:,1] - k[581]*y[:,8] + k[60]*y[:,7] - k[62]*y[:,8] + k[64]*y[:,9] + k[71]*y[:,0])
dfdy[indx[8], indx[12]] = -(k[553]*y[:,15] - k[573]*y[:,8] - k[59]*y[:,8] + k[61]*y[:,9] - k[76]*y[:,8])
dfdy[indx[8], indx[13]] = -(k[171]*y[:,7] + 2*k[555]*y[:,13] - k[63]*y[:,8] + k[65]*y[:,9])
- dfdy[indx[8], indx[14]] = -(k[125]*y[:,4] + k[169]*y[:,5] + k[30]*y[:,0] - k[52]*y[:,8] - k[66]*y[:,8] + k[68]*y[:,9])
- dfdy[indx[8], indx[15]] = -(2*k[31]*y[:,0] + k[426]*y[:,33] + k[51]*y[:,7] + k[553]*y[:,12] - k[67]*y[:,8] + k[70]*y[:,9])
- dfdy[indx[8], indx[16]] = -(2*M*k[634] + k[196]*y[:,17] - k[69]*y[:,8] + 2*k[763])
- dfdy[indx[8], indx[17]] = -(-M*k[655]*y[:,8] + k[153]*y[:,22] - k[176]*y[:,8] + k[188]*y[:,9] + k[196]*y[:,16] - k[202]*y[:,8] - k[72]*y[:,8])
+ dfdy[indx[8], indx[14]] = -(k[125]*y[:,4] + k[169]*y[:,5] + k[30]*y[:,3] - k[52]*y[:,8] - k[66]*y[:,8] + k[68]*y[:,9])
+ dfdy[indx[8], indx[15]] = -(2*k[31]*y[:,3] + k[424]*y[:,33] + k[51]*y[:,7] + k[553]*y[:,12] - k[67]*y[:,8] + k[70]*y[:,9])
+ dfdy[indx[8], indx[16]] = -(2*M*k[684] + k[196]*y[:,17] - k[69]*y[:,8] + 2*k[825])
+ dfdy[indx[8], indx[17]] = -(-M*k[705]*y[:,8] + k[153]*y[:,22] - k[176]*y[:,8] + k[188]*y[:,9] + k[196]*y[:,16] - k[202]*y[:,8] - k[72]*y[:,8])
dfdy[indx[8], indx[18]] = -(-k[154]*y[:,8])
- dfdy[indx[8], indx[19]] = -(k[121]*y[:,0] - k[129]*y[:,8] + k[179]*y[:,7] - k[186]*y[:,8])
- dfdy[indx[8], indx[20]] = -(-k[127]*y[:,8] + k[130]*y[:,9] + k[138]*y[:,0] - k[180]*y[:,8] - k[182]*y[:,8] + k[190]*y[:,9] + k[390]*y[:,2])
- dfdy[indx[8], indx[21]] = -(-k[126]*y[:,8] + k[128]*y[:,9] + k[175]*y[:,7] - k[187]*y[:,8] - k[194]*y[:,8] - k[782]*y[:,8])
- dfdy[indx[8], indx[22]] = -(k[153]*y[:,17] + k[181]*y[:,7] - k[184]*y[:,8] - k[189]*y[:,8] + k[192]*y[:,9] + k[383]*y[:,4] + k[416]*y[:,32])
- dfdy[indx[8], indx[23]] = -(M*k[720] + k[145]*y[:,0] + k[183]*y[:,7] + k[185]*y[:,7] - k[191]*y[:,8] + k[773])
- dfdy[indx[8], indx[24]] = -(M*k[656] + k[193]*y[:,0] - k[195]*y[:,8])
- dfdy[indx[8], indx[25]] = -(-k[384]*y[:,8] - k[389]*y[:,8] + k[515]*y[:,9])
- dfdy[indx[8], indx[26]] = -(k[201]*y[:,0])
+ dfdy[indx[8], indx[19]] = -(k[121]*y[:,3] - k[129]*y[:,8] + k[179]*y[:,7] - k[186]*y[:,8])
+ dfdy[indx[8], indx[20]] = -(-k[127]*y[:,8] + k[130]*y[:,9] + k[138]*y[:,3] - k[180]*y[:,8] - k[182]*y[:,8] + k[190]*y[:,9] + k[388]*y[:,0])
+ dfdy[indx[8], indx[21]] = -(-k[126]*y[:,8] + k[128]*y[:,9] + k[175]*y[:,7] - k[187]*y[:,8] - k[194]*y[:,8] - k[844]*y[:,8])
+ dfdy[indx[8], indx[22]] = -(k[153]*y[:,17] + k[181]*y[:,7] - k[184]*y[:,8] - k[189]*y[:,8] + k[192]*y[:,9] + k[381]*y[:,4] + k[414]*y[:,32])
+ dfdy[indx[8], indx[23]] = -(M*k[782] + k[145]*y[:,3] + k[183]*y[:,7] + k[185]*y[:,7] - k[191]*y[:,8] + k[835])
+ dfdy[indx[8], indx[24]] = -(M*k[706] + k[193]*y[:,3] - k[195]*y[:,8])
+ dfdy[indx[8], indx[25]] = -(-k[382]*y[:,8] - k[387]*y[:,8] + k[514]*y[:,9])
+ dfdy[indx[8], indx[26]] = -(k[201]*y[:,3])
dfdy[indx[8], indx[27]] = -(0)
- dfdy[indx[8], indx[28]] = -(k[238]*y[:,9] - k[369]*y[:,8] - k[371]*y[:,8])
+ dfdy[indx[8], indx[28]] = -(k[238]*y[:,9] - k[367]*y[:,8] - k[369]*y[:,8])
dfdy[indx[8], indx[29]] = -(-k[237]*y[:,8] + k[240]*y[:,9])
- dfdy[indx[8], indx[30]] = -(-k[241]*y[:,8] + k[243]*y[:,9])
- dfdy[indx[8], indx[31]] = -(k[242]*y[:,7] - k[244]*y[:,8] + k[294]*y[:,1] + k[372]*y[:,3] - k[530]*y[:,8])
- dfdy[indx[8], indx[32]] = -(-k[293]*y[:,8] - k[379]*y[:,8] + k[416]*y[:,22])
- dfdy[indx[8], indx[33]] = -(-M*k[683]*y[:,8] - k[239]*y[:,8] + k[307]*y[:,9] - k[373]*y[:,8] + k[426]*y[:,15] - k[433]*y[:,8] - k[435]*y[:,8])
+ dfdy[indx[8], indx[30]] = -(-k[241]*y[:,8] + k[243]*y[:,9] - k[611]*y[:,8])
+ dfdy[indx[8], indx[31]] = -(k[242]*y[:,7] - k[244]*y[:,8] + k[294]*y[:,2] + k[370]*y[:,1] - k[528]*y[:,8])
+ dfdy[indx[8], indx[32]] = -(-k[293]*y[:,8] - k[377]*y[:,8] + k[414]*y[:,22])
+ dfdy[indx[8], indx[33]] = -(-M*k[733]*y[:,8] - k[239]*y[:,8] + k[307]*y[:,9] - k[371]*y[:,8] + k[424]*y[:,15] - k[431]*y[:,8] - k[433]*y[:,8])
dfdy[indx[8], indx[34]] = -(0)
- dfdy[indx[8], indx[35]] = -(-k[308]*y[:,8] + k[374]*y[:,7])
- dfdy[indx[8], indx[36]] = -(k[370]*y[:,0] + k[380]*y[:,2])
- dfdy[indx[8], indx[37]] = -(-k[333]*y[:,8])
- dfdy[indx[8], indx[38]] = -(k[334]*y[:,9])
+ dfdy[indx[8], indx[35]] = -(-k[308]*y[:,8] + k[372]*y[:,7])
+ dfdy[indx[8], indx[36]] = -(-k[331]*y[:,8] + k[580]*y[:,9])
+ dfdy[indx[8], indx[37]] = -(k[332]*y[:,9])
+ dfdy[indx[8], indx[38]] = -(-k[579]*y[:,8])
dfdy[indx[8], indx[39]] = -(0)
dfdy[indx[8], indx[40]] = -(0)
- dfdy[indx[8], indx[41]] = -(0)
+ dfdy[indx[8], indx[41]] = -(k[368]*y[:,3] + k[378]*y[:,0])
dfdy[indx[8], indx[42]] = -(0)
- dfdy[indx[8], indx[43]] = -(-k[415]*y[:,8])
+ dfdy[indx[8], indx[43]] = -(-k[413]*y[:,8])
dfdy[indx[8], indx[44]] = -(0)
dfdy[indx[8], indx[45]] = -(0)
- dfdy[indx[8], indx[46]] = -(-k[425]*y[:,8] + k[436]*y[:,0] + k[438]*y[:,9])
- dfdy[indx[8], indx[47]] = -(k[434]*y[:,3])
- dfdy[indx[8], indx[48]] = -(M*k[684] - k[437]*y[:,8])
- dfdy[indx[8], indx[49]] = -(k[781])
+ dfdy[indx[8], indx[46]] = -(-k[423]*y[:,8] + k[434]*y[:,3] + k[436]*y[:,9])
+ dfdy[indx[8], indx[47]] = -(k[432]*y[:,1])
+ dfdy[indx[8], indx[48]] = -(M*k[734] - k[435]*y[:,8])
+ dfdy[indx[8], indx[49]] = -(k[843])
dfdy[indx[8], indx[50]] = -(0)
dfdy[indx[8], indx[51]] = -(0)
- dfdy[indx[8], indx[52]] = -(-k[516]*y[:,8] + k[547]*y[:,9])
+ dfdy[indx[8], indx[52]] = -(-k[513]*y[:,8] + k[547]*y[:,9])
dfdy[indx[8], indx[53]] = -(-k[548]*y[:,8])
dfdy[indx[8], indx[54]] = -(0)
- dfdy[indx[8], indx[55]] = -(k[529]*y[:,0])
- dfdy[indx[8], indx[56]] = -(0)
+ dfdy[indx[8], indx[55]] = -(k[527]*y[:,3])
+ dfdy[indx[8], indx[56]] = -(k[612]*y[:,3])
dfdy[indx[8], indx[57]] = -(0)
- dfdy[indx[8], indx[58]] = -(-k[554]*y[:,8] - k[556]*y[:,8] + k[574]*y[:,0])
+ dfdy[indx[8], indx[58]] = -(-k[554]*y[:,8] - k[556]*y[:,8] + k[574]*y[:,3])
dfdy[indx[8], indx[59]] = -(0)
- dfdy[indx[8], indx[60]] = -(k[577]*y[:,9])
- dfdy[indx[8], indx[61]] = -(k[589]*y[:,3] + k[738]*y[:,0])
+ dfdy[indx[8], indx[60]] = -(k[582]*y[:,3])
+ dfdy[indx[8], indx[61]] = -(0)
dfdy[indx[8], indx[62]] = -(0)
- dfdy[indx[8], indx[63]] = -(0)
- dfdy[indx[8], indx[64]] = -(0)
- dfdy[indx[9], indx[0]] = -(M*k[615]*y[:,8] - k[13]*y[:,9] + k[28]*y[:,14] + k[728]*y[:,8] + 2*k[732]*y[:,0]*y[:,61] + k[734]*y[:,3]*y[:,5])
- dfdy[indx[9], indx[1]] = -(k[116]*y[:,8])
- dfdy[indx[9], indx[2]] = -(k[107]*y[:,8] - k[115]*y[:,9] + k[578]*y[:,8])
- dfdy[indx[9], indx[3]] = -(k[14]*y[:,8] + k[730]*y[:,61] + k[734]*y[:,0]*y[:,5])
+ dfdy[indx[8], indx[63]] = -(-k[592]*y[:,8])
+ dfdy[indx[8], indx[64]] = -(k[591]*y[:,9])
+ dfdy[indx[8], indx[65]] = -(k[619]*y[:,9])
+ dfdy[indx[8], indx[66]] = -(k[633]*y[:,1] + k[654]*y[:,2] + k[800]*y[:,3])
+ dfdy[indx[8], indx[67]] = -(0)
+ dfdy[indx[8], indx[68]] = -(0)
+ dfdy[indx[9], indx[0]] = -(k[107]*y[:,8] - k[115]*y[:,9] + k[620]*y[:,8])
+ dfdy[indx[9], indx[1]] = -(k[14]*y[:,8] + k[792]*y[:,66] + k[796]*y[:,3]*y[:,5])
+ dfdy[indx[9], indx[2]] = -(k[116]*y[:,8])
+ dfdy[indx[9], indx[3]] = -(M*k[665]*y[:,8] - k[13]*y[:,9] + k[28]*y[:,14] + k[790]*y[:,8] + 2*k[794]*y[:,3]*y[:,66] + k[796]*y[:,1]*y[:,5])
dfdy[indx[9], indx[4]] = -(-k[108]*y[:,9])
- dfdy[indx[9], indx[5]] = -(-k[27]*y[:,9] + k[734]*y[:,0]*y[:,3])
+ dfdy[indx[9], indx[5]] = -(-k[27]*y[:,9] + k[796]*y[:,1]*y[:,3])
dfdy[indx[9], indx[6]] = -(0)
dfdy[indx[9], indx[7]] = -(-k[49]*y[:,9])
- dfdy[indx[9], indx[8]] = -(M*k[615]*y[:,0] + k[107]*y[:,2] + k[116]*y[:,1] + k[127]*y[:,20] + k[129]*y[:,19] + k[14]*y[:,3] + k[187]*y[:,21] + k[189]*y[:,22] + k[191]*y[:,23] + k[237]*y[:,29] + k[239]*y[:,33] + k[244]*y[:,31] + k[308]*y[:,35] + k[333]*y[:,37] + k[437]*y[:,48] + 2*k[50]*y[:,8] + k[516]*y[:,52] + k[548]*y[:,53] + k[578]*y[:,2] + k[62]*y[:,11] + k[63]*y[:,13] + k[66]*y[:,14] + k[67]*y[:,15] + k[69]*y[:,16] + k[728]*y[:,0] + k[76]*y[:,12])
- dfdy[indx[9], indx[9]] = -(-M*k[616] - k[108]*y[:,4] - k[115]*y[:,2] - k[128]*y[:,21] - k[130]*y[:,20] - k[13]*y[:,0] - k[188]*y[:,17] - k[190]*y[:,20] - k[192]*y[:,22] - k[238]*y[:,28] - k[240]*y[:,29] - k[243]*y[:,30] - k[27]*y[:,5] - k[307]*y[:,33] - k[334]*y[:,38] - k[438]*y[:,46] - k[49]*y[:,7] - k[515]*y[:,25] - k[547]*y[:,52] - k[577]*y[:,60] - k[61]*y[:,12] - k[64]*y[:,11] - k[65]*y[:,13] - k[68]*y[:,14] - k[70]*y[:,15] - k[727] - k[729] - k[731] - k[733] - k[75]*y[:,10] - k[762]*y[:,61] - k[780]*y[:,17])
+ dfdy[indx[9], indx[8]] = -(M*k[665]*y[:,3] + k[107]*y[:,0] + k[116]*y[:,2] + k[127]*y[:,20] + k[129]*y[:,19] + k[14]*y[:,1] + k[187]*y[:,21] + k[189]*y[:,22] + k[191]*y[:,23] + k[237]*y[:,29] + k[239]*y[:,33] + k[244]*y[:,31] + k[308]*y[:,35] + k[331]*y[:,36] + k[435]*y[:,48] + 2*k[50]*y[:,8] + k[513]*y[:,52] + k[548]*y[:,53] + k[579]*y[:,38] + k[592]*y[:,63] + k[620]*y[:,0] + k[62]*y[:,11] + k[63]*y[:,13] + k[66]*y[:,14] + k[67]*y[:,15] + k[69]*y[:,16] + k[76]*y[:,12] + k[790]*y[:,3])
+ dfdy[indx[9], indx[9]] = -(-M*k[666] - k[108]*y[:,4] - k[115]*y[:,0] - k[128]*y[:,21] - k[130]*y[:,20] - k[13]*y[:,3] - k[188]*y[:,17] - k[190]*y[:,20] - k[192]*y[:,22] - k[238]*y[:,28] - k[240]*y[:,29] - k[243]*y[:,30] - k[27]*y[:,5] - k[307]*y[:,33] - k[332]*y[:,37] - k[436]*y[:,46] - k[49]*y[:,7] - k[514]*y[:,25] - k[547]*y[:,52] - k[580]*y[:,36] - k[591]*y[:,64] - k[619]*y[:,65] - k[61]*y[:,12] - k[64]*y[:,11] - k[65]*y[:,13] - k[68]*y[:,14] - k[70]*y[:,15] - k[75]*y[:,10] - k[789] - k[791] - k[793] - k[795] - k[824]*y[:,66] - k[842]*y[:,17])
dfdy[indx[9], indx[10]] = -(-k[75]*y[:,9])
dfdy[indx[9], indx[11]] = -(k[62]*y[:,8] - k[64]*y[:,9])
dfdy[indx[9], indx[12]] = -(-k[61]*y[:,9] + k[76]*y[:,8])
dfdy[indx[9], indx[13]] = -(k[63]*y[:,8] - k[65]*y[:,9])
- dfdy[indx[9], indx[14]] = -(k[28]*y[:,0] + k[66]*y[:,8] - k[68]*y[:,9])
+ dfdy[indx[9], indx[14]] = -(k[28]*y[:,3] + k[66]*y[:,8] - k[68]*y[:,9])
dfdy[indx[9], indx[15]] = -(k[67]*y[:,8] - k[70]*y[:,9])
- dfdy[indx[9], indx[16]] = -(k[69]*y[:,8] + k[761])
- dfdy[indx[9], indx[17]] = -(-k[188]*y[:,9] - k[780]*y[:,9])
+ dfdy[indx[9], indx[16]] = -(k[69]*y[:,8] + k[823])
+ dfdy[indx[9], indx[17]] = -(-k[188]*y[:,9] - k[842]*y[:,9])
dfdy[indx[9], indx[18]] = -(0)
dfdy[indx[9], indx[19]] = -(k[129]*y[:,8])
dfdy[indx[9], indx[20]] = -(k[127]*y[:,8] - k[130]*y[:,9] - k[190]*y[:,9])
@@ -8069,7 +8883,7 @@ def neg_symjac(y, M, k):
dfdy[indx[9], indx[22]] = -(k[189]*y[:,8] - k[192]*y[:,9])
dfdy[indx[9], indx[23]] = -(k[191]*y[:,8])
dfdy[indx[9], indx[24]] = -(0)
- dfdy[indx[9], indx[25]] = -(-k[515]*y[:,9])
+ dfdy[indx[9], indx[25]] = -(-k[514]*y[:,9])
dfdy[indx[9], indx[26]] = -(0)
dfdy[indx[9], indx[27]] = -(0)
dfdy[indx[9], indx[28]] = -(-k[238]*y[:,9])
@@ -8080,9 +8894,9 @@ def neg_symjac(y, M, k):
dfdy[indx[9], indx[33]] = -(k[239]*y[:,8] - k[307]*y[:,9])
dfdy[indx[9], indx[34]] = -(0)
dfdy[indx[9], indx[35]] = -(k[308]*y[:,8])
- dfdy[indx[9], indx[36]] = -(0)
- dfdy[indx[9], indx[37]] = -(k[333]*y[:,8])
- dfdy[indx[9], indx[38]] = -(-k[334]*y[:,9])
+ dfdy[indx[9], indx[36]] = -(k[331]*y[:,8] - k[580]*y[:,9])
+ dfdy[indx[9], indx[37]] = -(-k[332]*y[:,9])
+ dfdy[indx[9], indx[38]] = -(k[579]*y[:,8])
dfdy[indx[9], indx[39]] = -(0)
dfdy[indx[9], indx[40]] = -(0)
dfdy[indx[9], indx[41]] = -(0)
@@ -8090,13 +8904,13 @@ def neg_symjac(y, M, k):
dfdy[indx[9], indx[43]] = -(0)
dfdy[indx[9], indx[44]] = -(0)
dfdy[indx[9], indx[45]] = -(0)
- dfdy[indx[9], indx[46]] = -(-k[438]*y[:,9])
+ dfdy[indx[9], indx[46]] = -(-k[436]*y[:,9])
dfdy[indx[9], indx[47]] = -(0)
- dfdy[indx[9], indx[48]] = -(k[437]*y[:,8])
- dfdy[indx[9], indx[49]] = -(k[779])
+ dfdy[indx[9], indx[48]] = -(k[435]*y[:,8])
+ dfdy[indx[9], indx[49]] = -(k[841])
dfdy[indx[9], indx[50]] = -(0)
dfdy[indx[9], indx[51]] = -(0)
- dfdy[indx[9], indx[52]] = -(k[516]*y[:,8] - k[547]*y[:,9])
+ dfdy[indx[9], indx[52]] = -(k[513]*y[:,8] - k[547]*y[:,9])
dfdy[indx[9], indx[53]] = -(k[548]*y[:,8])
dfdy[indx[9], indx[54]] = -(0)
dfdy[indx[9], indx[55]] = -(0)
@@ -8104,24 +8918,28 @@ def neg_symjac(y, M, k):
dfdy[indx[9], indx[57]] = -(0)
dfdy[indx[9], indx[58]] = -(0)
dfdy[indx[9], indx[59]] = -(0)
- dfdy[indx[9], indx[60]] = -(-k[577]*y[:,9])
- dfdy[indx[9], indx[61]] = -(k[730]*y[:,3] + k[732]*y[:,0]**2 - k[762]*y[:,9])
+ dfdy[indx[9], indx[60]] = -(0)
+ dfdy[indx[9], indx[61]] = -(0)
dfdy[indx[9], indx[62]] = -(0)
- dfdy[indx[9], indx[63]] = -(0)
- dfdy[indx[9], indx[64]] = -(0)
- dfdy[indx[10], indx[0]] = -(-M*k[704]*y[:,10] - k[16]*y[:,10] + k[74]*y[:,12])
- dfdy[indx[10], indx[1]] = -(0)
+ dfdy[indx[9], indx[63]] = -(k[592]*y[:,8])
+ dfdy[indx[9], indx[64]] = -(-k[591]*y[:,9])
+ dfdy[indx[9], indx[65]] = -(-k[619]*y[:,9])
+ dfdy[indx[9], indx[66]] = -(k[792]*y[:,1] + k[794]*y[:,3]**2 - k[824]*y[:,9])
+ dfdy[indx[9], indx[67]] = -(0)
+ dfdy[indx[9], indx[68]] = -(0)
+ dfdy[indx[10], indx[0]] = -(0)
+ dfdy[indx[10], indx[1]] = -(-k[73]*y[:,10])
dfdy[indx[10], indx[2]] = -(0)
- dfdy[indx[10], indx[3]] = -(-k[73]*y[:,10])
+ dfdy[indx[10], indx[3]] = -(-M*k[768]*y[:,10] - k[16]*y[:,10] + k[74]*y[:,12])
dfdy[indx[10], indx[4]] = -(-k[41]*y[:,10])
dfdy[indx[10], indx[5]] = -(k[15]*y[:,6])
- dfdy[indx[10], indx[6]] = -(2*M*k[689]*y[:,6] + k[15]*y[:,5] + k[226]*y[:,30] + k[42]*y[:,17])
+ dfdy[indx[10], indx[6]] = -(2*M*k[739]*y[:,6] + k[15]*y[:,5] + k[226]*y[:,30] + k[42]*y[:,17])
dfdy[indx[10], indx[7]] = -(0)
dfdy[indx[10], indx[8]] = -(k[76]*y[:,12])
dfdy[indx[10], indx[9]] = -(-k[75]*y[:,10])
- dfdy[indx[10], indx[10]] = -(-M*k[690] - M*k[704]*y[:,0] - k[16]*y[:,0] - k[225]*y[:,28] - k[245]*y[:,34] - k[41]*y[:,4] - k[541]*y[:,57] - k[543]*y[:,57] - k[73]*y[:,3] - k[75]*y[:,9] - k[812]*y[:,11])
- dfdy[indx[10], indx[11]] = -(k[544]*y[:,54] - k[812]*y[:,10])
- dfdy[indx[10], indx[12]] = -(M*k[703] + k[74]*y[:,0] + k[76]*y[:,8])
+ dfdy[indx[10], indx[10]] = -(-M*k[740] - M*k[768]*y[:,3] - k[16]*y[:,3] - k[225]*y[:,28] - k[245]*y[:,34] - k[41]*y[:,4] - k[539]*y[:,57] - k[541]*y[:,57] - k[73]*y[:,1] - k[75]*y[:,9] - k[870]*y[:,11])
+ dfdy[indx[10], indx[11]] = -(k[542]*y[:,54] - k[870]*y[:,10])
+ dfdy[indx[10], indx[12]] = -(M*k[767] + k[74]*y[:,3] + k[76]*y[:,8])
dfdy[indx[10], indx[13]] = -(0)
dfdy[indx[10], indx[14]] = -(0)
dfdy[indx[10], indx[15]] = -(0)
@@ -8140,7 +8958,7 @@ def neg_symjac(y, M, k):
dfdy[indx[10], indx[28]] = -(-k[225]*y[:,10])
dfdy[indx[10], indx[29]] = -(0)
dfdy[indx[10], indx[30]] = -(k[226]*y[:,6] + 2*k[246]*y[:,30])
- dfdy[indx[10], indx[31]] = -(k[542]*y[:,45])
+ dfdy[indx[10], indx[31]] = -(k[540]*y[:,45])
dfdy[indx[10], indx[32]] = -(0)
dfdy[indx[10], indx[33]] = -(0)
dfdy[indx[10], indx[34]] = -(-k[245]*y[:,10])
@@ -8154,7 +8972,7 @@ def neg_symjac(y, M, k):
dfdy[indx[10], indx[42]] = -(0)
dfdy[indx[10], indx[43]] = -(0)
dfdy[indx[10], indx[44]] = -(0)
- dfdy[indx[10], indx[45]] = -(k[542]*y[:,31] + k[811])
+ dfdy[indx[10], indx[45]] = -(k[540]*y[:,31] + k[869])
dfdy[indx[10], indx[46]] = -(0)
dfdy[indx[10], indx[47]] = -(0)
dfdy[indx[10], indx[48]] = -(0)
@@ -8163,10 +8981,10 @@ def neg_symjac(y, M, k):
dfdy[indx[10], indx[51]] = -(0)
dfdy[indx[10], indx[52]] = -(0)
dfdy[indx[10], indx[53]] = -(0)
- dfdy[indx[10], indx[54]] = -(k[544]*y[:,11])
+ dfdy[indx[10], indx[54]] = -(k[542]*y[:,11])
dfdy[indx[10], indx[55]] = -(0)
dfdy[indx[10], indx[56]] = -(0)
- dfdy[indx[10], indx[57]] = -(-k[541]*y[:,10] - k[543]*y[:,10])
+ dfdy[indx[10], indx[57]] = -(-k[539]*y[:,10] - k[541]*y[:,10])
dfdy[indx[10], indx[58]] = -(0)
dfdy[indx[10], indx[59]] = -(0)
dfdy[indx[10], indx[60]] = -(0)
@@ -8174,23 +8992,27 @@ def neg_symjac(y, M, k):
dfdy[indx[10], indx[62]] = -(0)
dfdy[indx[10], indx[63]] = -(0)
dfdy[indx[10], indx[64]] = -(0)
- dfdy[indx[11], indx[0]] = -(-M*k[617]*y[:,11] + M*k[635]*y[:,12] - k[18]*y[:,11] + k[206]*y[:,27] - k[20]*y[:,11] - k[22]*y[:,11] + k[23]*y[:,13] + k[420]*y[:,45] - 2*k[44]*y[:,0]*y[:,11] + k[526]*y[:,54] + k[568]*y[:,58] + k[572]*y[:,59] + k[598]*y[:,58] + k[744]*y[:,12] - 2*k[752]*y[:,0]*y[:,11])
- dfdy[indx[11], indx[1]] = -(-k[118]*y[:,11] + k[85]*y[:,12])
- dfdy[indx[11], indx[2]] = -(-M*k[653]*y[:,11] + k[117]*y[:,13] - k[168]*y[:,11] - k[71]*y[:,11] + k[83]*y[:,12] - k[86]*y[:,11])
- dfdy[indx[11], indx[3]] = -(-M*k[638]*y[:,11] + k[19]*y[:,12] - k[24]*y[:,11] - k[40]*y[:,11] + k[566]*y[:,59] - k[750]*y[:,11] - 2*k[760]*y[:,11]*y[:,3])
+ dfdy[indx[10], indx[65]] = -(0)
+ dfdy[indx[10], indx[66]] = -(0)
+ dfdy[indx[10], indx[67]] = -(0)
+ dfdy[indx[10], indx[68]] = -(0)
+ dfdy[indx[11], indx[0]] = -(-M*k[703]*y[:,11] + k[117]*y[:,13] - k[168]*y[:,11] - k[71]*y[:,11] + k[83]*y[:,12] - k[86]*y[:,11])
+ dfdy[indx[11], indx[1]] = -(-M*k[688]*y[:,11] + k[19]*y[:,12] - k[24]*y[:,11] - k[40]*y[:,11] + k[566]*y[:,59] - k[812]*y[:,11] - 2*k[822]*y[:,11]*y[:,1])
+ dfdy[indx[11], indx[2]] = -(-k[118]*y[:,11] + k[85]*y[:,12])
+ dfdy[indx[11], indx[3]] = -(-M*k[667]*y[:,11] + M*k[685]*y[:,12] - k[18]*y[:,11] + k[206]*y[:,27] - k[20]*y[:,11] - k[22]*y[:,11] + k[23]*y[:,13] + k[418]*y[:,45] - 2*k[44]*y[:,11]*y[:,3] + k[524]*y[:,54] + k[568]*y[:,58] + k[572]*y[:,59] + k[582]*y[:,60] + k[588]*y[:,63] + k[642]*y[:,58] + k[806]*y[:,12] - 2*k[814]*y[:,11]*y[:,3])
dfdy[indx[11], indx[4]] = -(k[167]*y[:,13] - k[205]*y[:,11] - k[57]*y[:,11] - k[84]*y[:,11])
dfdy[indx[11], indx[5]] = -(k[169]*y[:,14] + k[21]*y[:,7] + k[39]*y[:,8] - k[571]*y[:,11] - k[78]*y[:,11])
- dfdy[indx[11], indx[6]] = -(k[17]*y[:,8])
- dfdy[indx[11], indx[7]] = -(k[171]*y[:,13] + k[21]*y[:,5] + 2*k[43]*y[:,7] - k[565]*y[:,11] - k[567]*y[:,11] + k[58]*y[:,17] - k[60]*y[:,11] + k[77]*y[:,12])
- dfdy[indx[11], indx[8]] = -(-k[170]*y[:,11] - k[172]*y[:,11] + k[17]*y[:,6] + k[39]*y[:,5] + k[59]*y[:,12] - k[62]*y[:,11] + k[63]*y[:,13] + k[72]*y[:,17])
+ dfdy[indx[11], indx[6]] = -(k[17]*y[:,8] - k[593]*y[:,11])
+ dfdy[indx[11], indx[7]] = -(-M*k[757]*y[:,11] + k[171]*y[:,13] + k[21]*y[:,5] + 2*k[43]*y[:,7] - k[565]*y[:,11] - k[567]*y[:,11] + k[58]*y[:,17] - k[60]*y[:,11] + k[77]*y[:,12])
+ dfdy[indx[11], indx[8]] = -(-k[170]*y[:,11] - k[172]*y[:,11] + k[17]*y[:,6] + k[39]*y[:,5] - k[581]*y[:,11] + k[59]*y[:,12] - k[62]*y[:,11] + k[63]*y[:,13] + k[72]*y[:,17])
dfdy[indx[11], indx[9]] = -(k[61]*y[:,12] - k[64]*y[:,11])
- dfdy[indx[11], indx[10]] = -(k[543]*y[:,57] - k[812]*y[:,11])
- dfdy[indx[11], indx[11]] = -(-M*k[617]*y[:,0] - M*k[636] - M*k[638]*y[:,3] - M*k[653]*y[:,2] - k[118]*y[:,1] - k[158]*y[:,17] - k[160]*y[:,20] - k[162]*y[:,20] - k[164]*y[:,19] - k[166]*y[:,22] - k[168]*y[:,2] - k[170]*y[:,8] - k[172]*y[:,8] - k[18]*y[:,0] - k[205]*y[:,4] - k[20]*y[:,0] - k[22]*y[:,0] - k[248]*y[:,29] - k[24]*y[:,3] - k[250]*y[:,35] - k[40]*y[:,3] - k[419]*y[:,12] - k[44]*y[:,0]**2 - k[525]*y[:,30] - k[544]*y[:,54] - k[565]*y[:,7] - k[567]*y[:,7] - k[571]*y[:,5] - k[57]*y[:,4] - k[597]*y[:,61] - k[60]*y[:,7] - k[62]*y[:,8] - k[64]*y[:,9] - k[71]*y[:,2] - k[743] - k[750]*y[:,3] - k[752]*y[:,0]**2 - k[760]*y[:,3]**2 - k[78]*y[:,5] - k[80]*y[:,15] - 9*k[810]*y[:,11]**2 - k[812]*y[:,10] - k[84]*y[:,4] - k[86]*y[:,2] - k[88]*y[:,14] - k[92]*y[:,16])
- dfdy[indx[11], indx[12]] = -(M*k[635]*y[:,0] + k[157]*y[:,21] + k[159]*y[:,19] + k[161]*y[:,22] + k[163]*y[:,23] + k[165]*y[:,23] + k[19]*y[:,3] + k[247]*y[:,33] - k[419]*y[:,11] + k[59]*y[:,8] + k[61]*y[:,9] + k[744]*y[:,0] + k[77]*y[:,7] + k[79]*y[:,16] + k[83]*y[:,2] + k[85]*y[:,1])
- dfdy[indx[11], indx[13]] = -(M*k[618] + k[117]*y[:,2] + k[167]*y[:,4] + k[171]*y[:,7] + k[23]*y[:,0] + k[249]*y[:,33] + k[63]*y[:,8] + 2*k[87]*y[:,13] + k[91]*y[:,15])
- dfdy[indx[11], indx[14]] = -(M*k[637] + k[169]*y[:,5] + k[749] + k[751] - k[88]*y[:,11])
+ dfdy[indx[11], indx[10]] = -(k[541]*y[:,57] - k[870]*y[:,11])
+ dfdy[indx[11], indx[11]] = -(-M*k[667]*y[:,3] - M*k[686] - M*k[688]*y[:,1] - M*k[703]*y[:,0] - M*k[757]*y[:,7] - M*k[763]*y[:,61] - M*k[765]*y[:,13] - k[118]*y[:,2] - k[158]*y[:,17] - k[160]*y[:,20] - k[162]*y[:,20] - k[164]*y[:,19] - k[166]*y[:,22] - k[168]*y[:,0] - k[170]*y[:,8] - k[172]*y[:,8] - k[18]*y[:,3] - k[205]*y[:,4] - k[20]*y[:,3] - k[22]*y[:,3] - k[248]*y[:,29] - k[24]*y[:,1] - k[250]*y[:,35] - k[40]*y[:,1] - k[417]*y[:,12] - k[44]*y[:,3]**2 - k[523]*y[:,30] - k[542]*y[:,54] - k[565]*y[:,7] - k[567]*y[:,7] - k[571]*y[:,5] - k[57]*y[:,4] - k[581]*y[:,8] - k[587]*y[:,62] - k[593]*y[:,6] - k[60]*y[:,7] - k[62]*y[:,8] - k[641]*y[:,66] - k[64]*y[:,9] - k[71]*y[:,0] - k[78]*y[:,5] - k[805] - k[80]*y[:,15] - k[812]*y[:,1] - k[814]*y[:,3]**2 - k[822]*y[:,1]**2 - k[84]*y[:,4] - k[86]*y[:,0] - k[870]*y[:,10] - k[88]*y[:,14] - k[92]*y[:,16])
+ dfdy[indx[11], indx[12]] = -(M*k[685]*y[:,3] + k[157]*y[:,21] + k[159]*y[:,19] + k[161]*y[:,22] + k[163]*y[:,23] + k[165]*y[:,23] + k[19]*y[:,1] + k[247]*y[:,33] - k[417]*y[:,11] + k[59]*y[:,8] + k[61]*y[:,9] + k[77]*y[:,7] + k[79]*y[:,16] + k[806]*y[:,3] + k[83]*y[:,0] + k[85]*y[:,2])
+ dfdy[indx[11], indx[13]] = -(M*k[668] - M*k[765]*y[:,11] + k[117]*y[:,0] + k[167]*y[:,4] + k[171]*y[:,7] + k[23]*y[:,3] + k[249]*y[:,33] + k[63]*y[:,8] + 2*k[87]*y[:,13] + k[91]*y[:,15])
+ dfdy[indx[11], indx[14]] = -(M*k[687] + k[169]*y[:,5] + k[811] + k[813] - k[88]*y[:,11])
dfdy[indx[11], indx[15]] = -(-k[80]*y[:,11] + k[91]*y[:,13])
- dfdy[indx[11], indx[16]] = -(k[759] + k[79]*y[:,12] - k[92]*y[:,11])
+ dfdy[indx[11], indx[16]] = -(k[79]*y[:,12] + k[821] - k[92]*y[:,11])
dfdy[indx[11], indx[17]] = -(-k[158]*y[:,11] + k[58]*y[:,7] + k[72]*y[:,8])
dfdy[indx[11], indx[18]] = -(0)
dfdy[indx[11], indx[19]] = -(k[159]*y[:,12] - k[164]*y[:,11])
@@ -8198,13 +9020,13 @@ def neg_symjac(y, M, k):
dfdy[indx[11], indx[21]] = -(k[157]*y[:,12])
dfdy[indx[11], indx[22]] = -(k[161]*y[:,12] - k[166]*y[:,11])
dfdy[indx[11], indx[23]] = -(k[163]*y[:,12] + k[165]*y[:,12])
- dfdy[indx[11], indx[24]] = -(M*k[654])
+ dfdy[indx[11], indx[24]] = -(M*k[704])
dfdy[indx[11], indx[25]] = -(0)
dfdy[indx[11], indx[26]] = -(0)
- dfdy[indx[11], indx[27]] = -(k[206]*y[:,0])
+ dfdy[indx[11], indx[27]] = -(k[206]*y[:,3])
dfdy[indx[11], indx[28]] = -(0)
dfdy[indx[11], indx[29]] = -(-k[248]*y[:,11])
- dfdy[indx[11], indx[30]] = -(-k[525]*y[:,11])
+ dfdy[indx[11], indx[30]] = -(-k[523]*y[:,11])
dfdy[indx[11], indx[31]] = -(0)
dfdy[indx[11], indx[32]] = -(0)
dfdy[indx[11], indx[33]] = -(k[247]*y[:,12] + k[249]*y[:,13])
@@ -8219,7 +9041,7 @@ def neg_symjac(y, M, k):
dfdy[indx[11], indx[42]] = -(0)
dfdy[indx[11], indx[43]] = -(0)
dfdy[indx[11], indx[44]] = -(0)
- dfdy[indx[11], indx[45]] = -(k[420]*y[:,0] + k[811])
+ dfdy[indx[11], indx[45]] = -(k[418]*y[:,3] + k[869])
dfdy[indx[11], indx[46]] = -(0)
dfdy[indx[11], indx[47]] = -(0)
dfdy[indx[11], indx[48]] = -(0)
@@ -8228,49 +9050,53 @@ def neg_symjac(y, M, k):
dfdy[indx[11], indx[51]] = -(0)
dfdy[indx[11], indx[52]] = -(0)
dfdy[indx[11], indx[53]] = -(0)
- dfdy[indx[11], indx[54]] = -(k[526]*y[:,0] - k[544]*y[:,11])
+ dfdy[indx[11], indx[54]] = -(k[524]*y[:,3] - k[542]*y[:,11])
dfdy[indx[11], indx[55]] = -(0)
dfdy[indx[11], indx[56]] = -(0)
- dfdy[indx[11], indx[57]] = -(k[543]*y[:,10])
- dfdy[indx[11], indx[58]] = -(k[568]*y[:,0] + k[598]*y[:,0])
- dfdy[indx[11], indx[59]] = -(k[566]*y[:,3] + k[572]*y[:,0])
- dfdy[indx[11], indx[60]] = -(0)
- dfdy[indx[11], indx[61]] = -(-k[597]*y[:,11])
- dfdy[indx[11], indx[62]] = -(0)
- dfdy[indx[11], indx[63]] = -(0)
- dfdy[indx[11], indx[64]] = -(3*k[809])
- dfdy[indx[12], indx[0]] = -(-M*k[635]*y[:,12] + M*k[704]*y[:,10] + k[20]*y[:,11] + k[420]*y[:,45] + k[528]*y[:,54] + k[570]*y[:,59] + k[574]*y[:,58] - k[744]*y[:,12] - k[74]*y[:,12])
- dfdy[indx[12], indx[1]] = -(-k[85]*y[:,12])
- dfdy[indx[12], indx[2]] = -(-k[55]*y[:,12] + k[560]*y[:,58] - k[83]*y[:,12] + k[86]*y[:,11])
- dfdy[indx[12], indx[3]] = -(-k[19]*y[:,12] + k[73]*y[:,10])
+ dfdy[indx[11], indx[57]] = -(k[541]*y[:,10])
+ dfdy[indx[11], indx[58]] = -(k[568]*y[:,3] + k[642]*y[:,3])
+ dfdy[indx[11], indx[59]] = -(k[566]*y[:,1] + k[572]*y[:,3] + k[594])
+ dfdy[indx[11], indx[60]] = -(M*k[758] + k[582]*y[:,3])
+ dfdy[indx[11], indx[61]] = -(-M*k[763]*y[:,11])
+ dfdy[indx[11], indx[62]] = -(M*k[766] - k[587]*y[:,11])
+ dfdy[indx[11], indx[63]] = -(k[588]*y[:,3])
+ dfdy[indx[11], indx[64]] = -(M*k[764])
+ dfdy[indx[11], indx[65]] = -(0)
+ dfdy[indx[11], indx[66]] = -(-k[641]*y[:,11])
+ dfdy[indx[11], indx[67]] = -(0)
+ dfdy[indx[11], indx[68]] = -(0)
+ dfdy[indx[12], indx[0]] = -(-k[55]*y[:,12] + k[560]*y[:,58] - k[83]*y[:,12] + k[86]*y[:,11])
+ dfdy[indx[12], indx[1]] = -(-k[19]*y[:,12] + k[73]*y[:,10])
+ dfdy[indx[12], indx[2]] = -(-k[85]*y[:,12])
+ dfdy[indx[12], indx[3]] = -(-M*k[685]*y[:,12] + M*k[768]*y[:,10] + k[20]*y[:,11] + k[418]*y[:,45] + k[526]*y[:,54] + k[570]*y[:,59] + k[574]*y[:,58] + k[586]*y[:,62] - k[74]*y[:,12] - k[806]*y[:,12])
dfdy[indx[12], indx[4]] = -(-k[81]*y[:,12] + k[84]*y[:,11])
dfdy[indx[12], indx[5]] = -(k[78]*y[:,11] + k[82]*y[:,17])
dfdy[indx[12], indx[6]] = -(0)
dfdy[indx[12], indx[7]] = -(-k[569]*y[:,12] + k[56]*y[:,17] + k[60]*y[:,11] - k[77]*y[:,12])
dfdy[indx[12], indx[8]] = -(k[554]*y[:,58] - k[573]*y[:,12] - k[59]*y[:,12] + k[62]*y[:,11] - k[76]*y[:,12])
dfdy[indx[12], indx[9]] = -(-k[61]*y[:,12] + k[75]*y[:,10])
- dfdy[indx[12], indx[10]] = -(M*k[704]*y[:,0] + k[73]*y[:,3] + k[75]*y[:,9])
- dfdy[indx[12], indx[11]] = -(M*k[636] + k[158]*y[:,17] + k[160]*y[:,20] + k[162]*y[:,20] + k[164]*y[:,19] + k[166]*y[:,22] + k[20]*y[:,0] + k[248]*y[:,29] - k[419]*y[:,12] + k[60]*y[:,7] + k[62]*y[:,8] + k[743] + k[78]*y[:,5] + k[80]*y[:,15] + k[84]*y[:,4] + k[86]*y[:,2])
- dfdy[indx[12], indx[12]] = -(-M*k[635]*y[:,0] - M*k[703] - k[157]*y[:,21] - k[159]*y[:,19] - k[161]*y[:,22] - k[163]*y[:,23] - k[165]*y[:,23] - k[19]*y[:,3] - k[247]*y[:,33] - k[391]*y[:,25] - k[419]*y[:,11] - k[527]*y[:,31] - k[553]*y[:,15] - k[559]*y[:,19] - k[55]*y[:,2] - k[569]*y[:,7] - k[573]*y[:,8] - k[59]*y[:,8] - k[61]*y[:,9] - k[744]*y[:,0] - k[74]*y[:,0] - k[76]*y[:,8] - k[77]*y[:,7] - k[79]*y[:,16] - k[81]*y[:,4] - k[83]*y[:,2] - k[85]*y[:,1])
+ dfdy[indx[12], indx[10]] = -(M*k[768]*y[:,3] + k[73]*y[:,1] + k[75]*y[:,9])
+ dfdy[indx[12], indx[11]] = -(M*k[686] + k[158]*y[:,17] + k[160]*y[:,20] + k[162]*y[:,20] + k[164]*y[:,19] + k[166]*y[:,22] + k[20]*y[:,3] + k[248]*y[:,29] - k[417]*y[:,12] + k[60]*y[:,7] + k[62]*y[:,8] + k[78]*y[:,5] + k[805] + k[80]*y[:,15] + k[84]*y[:,4] + k[86]*y[:,0])
+ dfdy[indx[12], indx[12]] = -(-M*k[685]*y[:,3] - M*k[767] - k[157]*y[:,21] - k[159]*y[:,19] - k[161]*y[:,22] - k[163]*y[:,23] - k[165]*y[:,23] - k[19]*y[:,1] - k[247]*y[:,33] - k[389]*y[:,25] - k[417]*y[:,11] - k[525]*y[:,31] - k[553]*y[:,15] - k[559]*y[:,19] - k[55]*y[:,0] - k[569]*y[:,7] - k[573]*y[:,8] - k[585]*y[:,15] - k[59]*y[:,8] - k[61]*y[:,9] - k[74]*y[:,3] - k[76]*y[:,8] - k[77]*y[:,7] - k[79]*y[:,16] - k[806]*y[:,3] - k[81]*y[:,4] - k[83]*y[:,0] - k[85]*y[:,2])
dfdy[indx[12], indx[13]] = -(0)
dfdy[indx[12], indx[14]] = -(0)
- dfdy[indx[12], indx[15]] = -(-k[553]*y[:,12] + k[80]*y[:,11])
+ dfdy[indx[12], indx[15]] = -(-k[553]*y[:,12] - k[585]*y[:,12] + k[80]*y[:,11])
dfdy[indx[12], indx[16]] = -(-k[79]*y[:,12])
- dfdy[indx[12], indx[17]] = -(k[158]*y[:,11] + k[392]*y[:,21] + k[56]*y[:,7] + k[82]*y[:,5])
+ dfdy[indx[12], indx[17]] = -(k[158]*y[:,11] + k[390]*y[:,21] + k[56]*y[:,7] + k[82]*y[:,5])
dfdy[indx[12], indx[18]] = -(0)
dfdy[indx[12], indx[19]] = -(-k[159]*y[:,12] + k[164]*y[:,11] - k[559]*y[:,12])
dfdy[indx[12], indx[20]] = -(k[160]*y[:,11] + k[162]*y[:,11])
- dfdy[indx[12], indx[21]] = -(-k[157]*y[:,12] + k[392]*y[:,17])
+ dfdy[indx[12], indx[21]] = -(-k[157]*y[:,12] + k[390]*y[:,17])
dfdy[indx[12], indx[22]] = -(-k[161]*y[:,12] + k[166]*y[:,11])
dfdy[indx[12], indx[23]] = -(-k[163]*y[:,12] - k[165]*y[:,12])
dfdy[indx[12], indx[24]] = -(0)
- dfdy[indx[12], indx[25]] = -(-k[391]*y[:,12])
+ dfdy[indx[12], indx[25]] = -(-k[389]*y[:,12])
dfdy[indx[12], indx[26]] = -(0)
dfdy[indx[12], indx[27]] = -(0)
dfdy[indx[12], indx[28]] = -(0)
dfdy[indx[12], indx[29]] = -(k[248]*y[:,11])
dfdy[indx[12], indx[30]] = -(0)
- dfdy[indx[12], indx[31]] = -(-k[527]*y[:,12])
+ dfdy[indx[12], indx[31]] = -(-k[525]*y[:,12])
dfdy[indx[12], indx[32]] = -(0)
dfdy[indx[12], indx[33]] = -(-k[247]*y[:,12])
dfdy[indx[12], indx[34]] = -(0)
@@ -8284,7 +9110,7 @@ def neg_symjac(y, M, k):
dfdy[indx[12], indx[42]] = -(0)
dfdy[indx[12], indx[43]] = -(0)
dfdy[indx[12], indx[44]] = -(0)
- dfdy[indx[12], indx[45]] = -(k[420]*y[:,0])
+ dfdy[indx[12], indx[45]] = -(k[418]*y[:,3])
dfdy[indx[12], indx[46]] = -(0)
dfdy[indx[12], indx[47]] = -(0)
dfdy[indx[12], indx[48]] = -(0)
@@ -8293,49 +9119,53 @@ def neg_symjac(y, M, k):
dfdy[indx[12], indx[51]] = -(0)
dfdy[indx[12], indx[52]] = -(0)
dfdy[indx[12], indx[53]] = -(0)
- dfdy[indx[12], indx[54]] = -(k[528]*y[:,0])
+ dfdy[indx[12], indx[54]] = -(k[526]*y[:,3])
dfdy[indx[12], indx[55]] = -(0)
dfdy[indx[12], indx[56]] = -(0)
dfdy[indx[12], indx[57]] = -(0)
- dfdy[indx[12], indx[58]] = -(k[554]*y[:,8] + k[560]*y[:,2] + k[574]*y[:,0])
- dfdy[indx[12], indx[59]] = -(k[570]*y[:,0])
+ dfdy[indx[12], indx[58]] = -(k[554]*y[:,8] + k[560]*y[:,0] + k[574]*y[:,3])
+ dfdy[indx[12], indx[59]] = -(k[570]*y[:,3])
dfdy[indx[12], indx[60]] = -(0)
dfdy[indx[12], indx[61]] = -(0)
- dfdy[indx[12], indx[62]] = -(0)
+ dfdy[indx[12], indx[62]] = -(k[586]*y[:,3])
dfdy[indx[12], indx[63]] = -(0)
dfdy[indx[12], indx[64]] = -(0)
- dfdy[indx[13], indx[0]] = -(M*k[617]*y[:,11] - M*k[619]*y[:,13] + k[204]*y[:,26] - k[23]*y[:,13] + k[26]*y[:,14] - k[48]*y[:,13] + k[540]*y[:,57] + k[546]*y[:,56] - k[754]*y[:,13])
- dfdy[indx[13], indx[1]] = -(k[118]*y[:,11] - k[94]*y[:,13])
- dfdy[indx[13], indx[2]] = -(-k[117]*y[:,13] + k[168]*y[:,11] + k[557]*y[:,58] + k[93]*y[:,14])
- dfdy[indx[13], indx[3]] = -(k[24]*y[:,11] - k[25]*y[:,13])
- dfdy[indx[13], indx[4]] = -(-k[167]*y[:,13] - k[203]*y[:,13])
+ dfdy[indx[12], indx[65]] = -(0)
+ dfdy[indx[12], indx[66]] = -(0)
+ dfdy[indx[12], indx[67]] = -(0)
+ dfdy[indx[12], indx[68]] = -(0)
+ dfdy[indx[13], indx[0]] = -(-k[117]*y[:,13] + k[168]*y[:,11] + k[557]*y[:,58] + k[93]*y[:,14])
+ dfdy[indx[13], indx[1]] = -(k[24]*y[:,11] - k[25]*y[:,13])
+ dfdy[indx[13], indx[2]] = -(k[118]*y[:,11] - k[94]*y[:,13])
+ dfdy[indx[13], indx[3]] = -(M*k[667]*y[:,11] - M*k[669]*y[:,13] + k[204]*y[:,26] - k[23]*y[:,13] + k[26]*y[:,14] - k[48]*y[:,13] + k[538]*y[:,57] + k[544]*y[:,56] - k[816]*y[:,13])
+ dfdy[indx[13], indx[4]] = -(-k[167]*y[:,13] - k[203]*y[:,13] - k[597]*y[:,13])
dfdy[indx[13], indx[5]] = -(0)
dfdy[indx[13], indx[6]] = -(0)
- dfdy[indx[13], indx[7]] = -(-k[171]*y[:,13] + 2*k[47]*y[:,7])
+ dfdy[indx[13], indx[7]] = -(-k[171]*y[:,13] + 2*k[47]*y[:,7] + k[598]*y[:,21])
dfdy[indx[13], indx[8]] = -(k[172]*y[:,11] + 2*k[556]*y[:,58] - k[63]*y[:,13] + k[66]*y[:,14])
dfdy[indx[13], indx[9]] = -(k[64]*y[:,11] - k[65]*y[:,13])
dfdy[indx[13], indx[10]] = -(0)
- dfdy[indx[13], indx[11]] = -(M*k[617]*y[:,0] + k[118]*y[:,1] + k[168]*y[:,2] + k[172]*y[:,8] + k[24]*y[:,3] + k[250]*y[:,35] + k[64]*y[:,9] + 2*k[88]*y[:,14] + k[92]*y[:,16])
+ dfdy[indx[13], indx[11]] = -(M*k[667]*y[:,3] - M*k[765]*y[:,13] + k[118]*y[:,2] + k[168]*y[:,0] + k[172]*y[:,8] + k[24]*y[:,1] + k[250]*y[:,35] + k[64]*y[:,9] + 2*k[88]*y[:,14] + k[92]*y[:,16])
dfdy[indx[13], indx[12]] = -(0)
- dfdy[indx[13], indx[13]] = -(-M*k[618] - M*k[619]*y[:,0] - k[117]*y[:,2] - k[167]*y[:,4] - k[171]*y[:,7] - k[203]*y[:,4] - k[23]*y[:,0] - k[249]*y[:,33] - k[252]*y[:,35] - k[25]*y[:,3] - k[393]*y[:,25] - k[48]*y[:,0] - k[539]*y[:,31] - k[545]*y[:,28] - 4*k[555]*y[:,13] - k[558]*y[:,21] - k[63]*y[:,8] - k[65]*y[:,9] - k[754]*y[:,0] - 4*k[87]*y[:,13] - k[89]*y[:,15] - k[91]*y[:,15] - k[94]*y[:,1] - k[98]*y[:,16])
- dfdy[indx[13], indx[14]] = -(M*k[620] + k[251]*y[:,33] + k[26]*y[:,0] + k[66]*y[:,8] + k[753] + 2*k[88]*y[:,11] + 2*k[90]*y[:,14] + k[93]*y[:,2] + k[97]*y[:,15])
+ dfdy[indx[13], indx[13]] = -(-M*k[668] - M*k[669]*y[:,3] - M*k[765]*y[:,11] - k[117]*y[:,0] - k[167]*y[:,4] - k[171]*y[:,7] - k[203]*y[:,4] - k[23]*y[:,3] - k[249]*y[:,33] - k[252]*y[:,35] - k[25]*y[:,1] - k[391]*y[:,25] - k[48]*y[:,3] - k[537]*y[:,31] - k[543]*y[:,28] - 4*k[555]*y[:,13] - k[558]*y[:,21] - k[597]*y[:,4] - k[63]*y[:,8] - k[65]*y[:,9] - k[816]*y[:,3] - 4*k[87]*y[:,13] - k[89]*y[:,15] - k[91]*y[:,15] - k[94]*y[:,2] - k[98]*y[:,16])
+ dfdy[indx[13], indx[14]] = -(M*k[670] + k[251]*y[:,33] + k[26]*y[:,3] + k[66]*y[:,8] + k[815] + 2*k[88]*y[:,11] + 2*k[90]*y[:,14] + k[93]*y[:,0] + k[97]*y[:,15])
dfdy[indx[13], indx[15]] = -(-k[89]*y[:,13] - k[91]*y[:,13] + k[97]*y[:,14])
dfdy[indx[13], indx[16]] = -(k[92]*y[:,11] - k[98]*y[:,13])
dfdy[indx[13], indx[17]] = -(0)
dfdy[indx[13], indx[18]] = -(0)
dfdy[indx[13], indx[19]] = -(0)
- dfdy[indx[13], indx[20]] = -(k[394]*y[:,21])
- dfdy[indx[13], indx[21]] = -(k[394]*y[:,20] - k[558]*y[:,13])
+ dfdy[indx[13], indx[20]] = -(k[392]*y[:,21])
+ dfdy[indx[13], indx[21]] = -(k[392]*y[:,20] - k[558]*y[:,13] + k[598]*y[:,7])
dfdy[indx[13], indx[22]] = -(0)
dfdy[indx[13], indx[23]] = -(0)
dfdy[indx[13], indx[24]] = -(0)
- dfdy[indx[13], indx[25]] = -(-k[393]*y[:,13])
- dfdy[indx[13], indx[26]] = -(k[204]*y[:,0])
+ dfdy[indx[13], indx[25]] = -(-k[391]*y[:,13])
+ dfdy[indx[13], indx[26]] = -(k[204]*y[:,3])
dfdy[indx[13], indx[27]] = -(0)
- dfdy[indx[13], indx[28]] = -(-k[545]*y[:,13])
+ dfdy[indx[13], indx[28]] = -(-k[543]*y[:,13])
dfdy[indx[13], indx[29]] = -(0)
dfdy[indx[13], indx[30]] = -(0)
- dfdy[indx[13], indx[31]] = -(-k[539]*y[:,13])
+ dfdy[indx[13], indx[31]] = -(-k[537]*y[:,13])
dfdy[indx[13], indx[32]] = -(0)
dfdy[indx[13], indx[33]] = -(-k[249]*y[:,13] + k[251]*y[:,14])
dfdy[indx[13], indx[34]] = -(0)
@@ -8360,36 +9190,40 @@ def neg_symjac(y, M, k):
dfdy[indx[13], indx[53]] = -(0)
dfdy[indx[13], indx[54]] = -(0)
dfdy[indx[13], indx[55]] = -(0)
- dfdy[indx[13], indx[56]] = -(k[546]*y[:,0])
- dfdy[indx[13], indx[57]] = -(k[540]*y[:,0])
- dfdy[indx[13], indx[58]] = -(2*k[556]*y[:,8] + k[557]*y[:,2])
+ dfdy[indx[13], indx[56]] = -(k[544]*y[:,3])
+ dfdy[indx[13], indx[57]] = -(k[538]*y[:,3])
+ dfdy[indx[13], indx[58]] = -(2*k[556]*y[:,8] + k[557]*y[:,0])
dfdy[indx[13], indx[59]] = -(0)
dfdy[indx[13], indx[60]] = -(0)
dfdy[indx[13], indx[61]] = -(0)
- dfdy[indx[13], indx[62]] = -(0)
+ dfdy[indx[13], indx[62]] = -(M*k[766])
dfdy[indx[13], indx[63]] = -(0)
dfdy[indx[13], indx[64]] = -(0)
- dfdy[indx[14], indx[0]] = -(M*k[619]*y[:,13] - M*k[621]*y[:,14] - k[26]*y[:,14] - k[28]*y[:,14] - k[30]*y[:,14] + k[33]*y[:,15] + k[538]*y[:,57] + 2*k[752]*y[:,0]*y[:,11] + k[754]*y[:,13] - 2*k[758]*y[:,0]*y[:,14])
- dfdy[indx[14], indx[1]] = -(-k[120]*y[:,14] + k[94]*y[:,13])
- dfdy[indx[14], indx[2]] = -(k[119]*y[:,15] - k[178]*y[:,14] - k[93]*y[:,14])
- dfdy[indx[14], indx[3]] = -(M*k[638]*y[:,11] - M*k[640]*y[:,14] + k[25]*y[:,13] - k[34]*y[:,14] + k[750]*y[:,11] - k[756]*y[:,14])
- dfdy[indx[14], indx[4]] = -(-k[125]*y[:,14])
+ dfdy[indx[13], indx[65]] = -(0)
+ dfdy[indx[13], indx[66]] = -(0)
+ dfdy[indx[13], indx[67]] = -(0)
+ dfdy[indx[13], indx[68]] = -(0)
+ dfdy[indx[14], indx[0]] = -(k[119]*y[:,15] - k[178]*y[:,14] - k[93]*y[:,14])
+ dfdy[indx[14], indx[1]] = -(M*k[688]*y[:,11] - M*k[690]*y[:,14] + k[25]*y[:,13] - k[34]*y[:,14] + k[812]*y[:,11] - k[818]*y[:,14])
+ dfdy[indx[14], indx[2]] = -(-k[120]*y[:,14] + k[94]*y[:,13])
+ dfdy[indx[14], indx[3]] = -(M*k[669]*y[:,13] - M*k[671]*y[:,14] - k[26]*y[:,14] - k[28]*y[:,14] - k[30]*y[:,14] + k[33]*y[:,15] + k[536]*y[:,57] + 2*k[814]*y[:,11]*y[:,3] + k[816]*y[:,13] - 2*k[820]*y[:,14]*y[:,3])
+ dfdy[indx[14], indx[4]] = -(-k[125]*y[:,14] - k[595]*y[:,14])
dfdy[indx[14], indx[5]] = -(-k[169]*y[:,14] + k[27]*y[:,9])
dfdy[indx[14], indx[6]] = -(0)
- dfdy[indx[14], indx[7]] = -(k[177]*y[:,19] + k[29]*y[:,8] + k[51]*y[:,15])
+ dfdy[indx[14], indx[7]] = -(k[177]*y[:,19] + k[29]*y[:,8] + k[51]*y[:,15] + k[596]*y[:,20])
dfdy[indx[14], indx[8]] = -(k[126]*y[:,21] + k[170]*y[:,11] + k[29]*y[:,7] - k[52]*y[:,14] - k[66]*y[:,14] + k[67]*y[:,15])
dfdy[indx[14], indx[9]] = -(k[27]*y[:,5] + k[65]*y[:,13] - k[68]*y[:,14])
dfdy[indx[14], indx[10]] = -(0)
- dfdy[indx[14], indx[11]] = -(M*k[638]*y[:,3] + k[170]*y[:,8] + k[750]*y[:,3] + k[752]*y[:,0]**2 - k[88]*y[:,14])
+ dfdy[indx[14], indx[11]] = -(M*k[688]*y[:,1] + k[170]*y[:,8] + k[812]*y[:,1] + k[814]*y[:,3]**2 - k[88]*y[:,14])
dfdy[indx[14], indx[12]] = -(0)
- dfdy[indx[14], indx[13]] = -(M*k[619]*y[:,0] + k[252]*y[:,35] + k[25]*y[:,3] + k[65]*y[:,9] + k[754]*y[:,0] + 2*k[87]*y[:,13] + 2*k[89]*y[:,15] + k[94]*y[:,1] + k[98]*y[:,16])
- dfdy[indx[14], indx[14]] = -(-M*k[620] - M*k[621]*y[:,0] - M*k[637] - M*k[640]*y[:,3] - k[120]*y[:,1] - k[125]*y[:,4] - k[169]*y[:,5] - k[178]*y[:,2] - k[251]*y[:,33] - k[254]*y[:,35] - k[26]*y[:,0] - k[28]*y[:,0] - k[30]*y[:,0] - k[34]*y[:,3] - k[52]*y[:,8] - k[537]*y[:,30] - k[66]*y[:,8] - k[68]*y[:,9] - k[749] - k[751] - k[753] - k[756]*y[:,3] - k[758]*y[:,0]**2 - k[88]*y[:,11] - 4*k[90]*y[:,14] - k[93]*y[:,2] - k[96]*y[:,16] - k[97]*y[:,15])
- dfdy[indx[14], indx[15]] = -(M*k[622] + k[119]*y[:,2] + k[253]*y[:,33] + k[33]*y[:,0] + k[51]*y[:,7] + k[67]*y[:,8] + 2*k[89]*y[:,13] + 2*k[95]*y[:,15] - k[97]*y[:,14])
- dfdy[indx[14], indx[16]] = -(M*k[639] + k[755] + k[757] - k[96]*y[:,14] + k[98]*y[:,13])
+ dfdy[indx[14], indx[13]] = -(M*k[669]*y[:,3] + k[252]*y[:,35] + k[25]*y[:,1] + k[65]*y[:,9] + k[816]*y[:,3] + 2*k[87]*y[:,13] + 2*k[89]*y[:,15] + k[94]*y[:,2] + k[98]*y[:,16])
+ dfdy[indx[14], indx[14]] = -(-M*k[670] - M*k[671]*y[:,3] - M*k[687] - M*k[690]*y[:,1] - k[120]*y[:,2] - k[125]*y[:,4] - k[169]*y[:,5] - k[178]*y[:,0] - k[251]*y[:,33] - k[254]*y[:,35] - k[26]*y[:,3] - k[28]*y[:,3] - k[30]*y[:,3] - k[34]*y[:,1] - k[52]*y[:,8] - k[535]*y[:,30] - k[595]*y[:,4] - k[66]*y[:,8] - k[68]*y[:,9] - k[811] - k[813] - k[815] - k[818]*y[:,1] - k[820]*y[:,3]**2 - k[88]*y[:,11] - 4*k[90]*y[:,14] - k[93]*y[:,0] - k[96]*y[:,16] - k[97]*y[:,15])
+ dfdy[indx[14], indx[15]] = -(M*k[672] + k[119]*y[:,0] + k[253]*y[:,33] + k[33]*y[:,3] + k[51]*y[:,7] + k[67]*y[:,8] + 2*k[89]*y[:,13] + 2*k[95]*y[:,15] - k[97]*y[:,14])
+ dfdy[indx[14], indx[16]] = -(M*k[689] + k[817] + k[819] - k[96]*y[:,14] + k[98]*y[:,13])
dfdy[indx[14], indx[17]] = -(0)
dfdy[indx[14], indx[18]] = -(0)
dfdy[indx[14], indx[19]] = -(k[177]*y[:,7])
- dfdy[indx[14], indx[20]] = -(0)
+ dfdy[indx[14], indx[20]] = -(k[596]*y[:,7])
dfdy[indx[14], indx[21]] = -(k[126]*y[:,8])
dfdy[indx[14], indx[22]] = -(0)
dfdy[indx[14], indx[23]] = -(0)
@@ -8399,7 +9233,7 @@ def neg_symjac(y, M, k):
dfdy[indx[14], indx[27]] = -(0)
dfdy[indx[14], indx[28]] = -(0)
dfdy[indx[14], indx[29]] = -(0)
- dfdy[indx[14], indx[30]] = -(-k[537]*y[:,14])
+ dfdy[indx[14], indx[30]] = -(-k[535]*y[:,14])
dfdy[indx[14], indx[31]] = -(0)
dfdy[indx[14], indx[32]] = -(0)
dfdy[indx[14], indx[33]] = -(-k[251]*y[:,14] + k[253]*y[:,15])
@@ -8426,7 +9260,7 @@ def neg_symjac(y, M, k):
dfdy[indx[14], indx[54]] = -(0)
dfdy[indx[14], indx[55]] = -(0)
dfdy[indx[14], indx[56]] = -(0)
- dfdy[indx[14], indx[57]] = -(k[538]*y[:,0])
+ dfdy[indx[14], indx[57]] = -(k[536]*y[:,3])
dfdy[indx[14], indx[58]] = -(0)
dfdy[indx[14], indx[59]] = -(0)
dfdy[indx[14], indx[60]] = -(0)
@@ -8434,23 +9268,27 @@ def neg_symjac(y, M, k):
dfdy[indx[14], indx[62]] = -(0)
dfdy[indx[14], indx[63]] = -(0)
dfdy[indx[14], indx[64]] = -(0)
- dfdy[indx[15], indx[0]] = -(M*k[621]*y[:,14] - M*k[623]*y[:,15] - k[31]*y[:,15] - k[33]*y[:,15] + k[35]*y[:,16] + k[444]*y[:,49])
- dfdy[indx[15], indx[1]] = -(-k[100]*y[:,15] + k[120]*y[:,14])
- dfdy[indx[15], indx[2]] = -(-k[110]*y[:,15] - k[119]*y[:,15] + k[99]*y[:,16])
- dfdy[indx[15], indx[3]] = -(k[34]*y[:,14] - k[36]*y[:,15])
- dfdy[indx[15], indx[4]] = -(k[109]*y[:,16] - k[443]*y[:,15])
+ dfdy[indx[14], indx[65]] = -(0)
+ dfdy[indx[14], indx[66]] = -(0)
+ dfdy[indx[14], indx[67]] = -(0)
+ dfdy[indx[14], indx[68]] = -(0)
+ dfdy[indx[15], indx[0]] = -(-k[110]*y[:,15] - k[119]*y[:,15] - k[616]*y[:,15] + k[99]*y[:,16])
+ dfdy[indx[15], indx[1]] = -(k[34]*y[:,14] - k[36]*y[:,15])
+ dfdy[indx[15], indx[2]] = -(-k[100]*y[:,15] + k[120]*y[:,14])
+ dfdy[indx[15], indx[3]] = -(M*k[671]*y[:,14] - M*k[673]*y[:,15] - k[31]*y[:,15] - k[33]*y[:,15] + k[35]*y[:,16] + k[442]*y[:,49] + k[586]*y[:,62])
+ dfdy[indx[15], indx[4]] = -(k[109]*y[:,16] - k[441]*y[:,15])
dfdy[indx[15], indx[5]] = -(0)
dfdy[indx[15], indx[6]] = -(0)
dfdy[indx[15], indx[7]] = -(-k[51]*y[:,15])
- dfdy[indx[15], indx[8]] = -(2*k[32]*y[:,8] + k[425]*y[:,46] + k[52]*y[:,14] + k[554]*y[:,58] - k[67]*y[:,15] + k[69]*y[:,16])
+ dfdy[indx[15], indx[8]] = -(2*k[32]*y[:,8] + k[423]*y[:,46] + k[52]*y[:,14] + k[554]*y[:,58] - k[67]*y[:,15] + k[69]*y[:,16])
dfdy[indx[15], indx[9]] = -(k[68]*y[:,14] - k[70]*y[:,15])
dfdy[indx[15], indx[10]] = -(0)
dfdy[indx[15], indx[11]] = -(-k[80]*y[:,15] + k[92]*y[:,16])
- dfdy[indx[15], indx[12]] = -(-k[553]*y[:,15] + k[79]*y[:,16])
+ dfdy[indx[15], indx[12]] = -(-k[553]*y[:,15] - k[585]*y[:,15] + k[79]*y[:,16])
dfdy[indx[15], indx[13]] = -(-k[89]*y[:,15] - k[91]*y[:,15] + k[98]*y[:,16])
- dfdy[indx[15], indx[14]] = -(M*k[621]*y[:,0] + k[120]*y[:,1] + k[254]*y[:,35] + k[34]*y[:,3] + k[52]*y[:,8] + k[68]*y[:,9] + 2*k[90]*y[:,14] + 2*k[96]*y[:,16] - k[97]*y[:,15])
- dfdy[indx[15], indx[15]] = -(-M*k[622] - M*k[623]*y[:,0] - k[100]*y[:,1] - k[110]*y[:,2] - k[119]*y[:,2] - k[253]*y[:,33] - k[256]*y[:,35] - k[31]*y[:,0] - k[322]*y[:,31] - k[33]*y[:,0] - k[36]*y[:,3] - k[426]*y[:,33] - k[443]*y[:,4] - k[518]*y[:,52] - k[51]*y[:,7] - k[553]*y[:,12] - k[67]*y[:,8] - k[70]*y[:,9] - k[80]*y[:,11] - k[89]*y[:,13] - k[91]*y[:,13] - 4*k[95]*y[:,15] - k[97]*y[:,14])
- dfdy[indx[15], indx[16]] = -(M*k[624] + k[109]*y[:,4] + k[255]*y[:,33] + k[321]*y[:,30] + k[35]*y[:,0] + k[517]*y[:,25] + k[69]*y[:,8] + k[79]*y[:,12] + k[92]*y[:,11] + 2*k[96]*y[:,14] + k[98]*y[:,13] + k[99]*y[:,2])
+ dfdy[indx[15], indx[14]] = -(M*k[671]*y[:,3] + k[120]*y[:,2] + k[254]*y[:,35] + k[34]*y[:,1] + k[52]*y[:,8] + k[68]*y[:,9] + 2*k[90]*y[:,14] + 2*k[96]*y[:,16] - k[97]*y[:,15])
+ dfdy[indx[15], indx[15]] = -(-M*k[672] - M*k[673]*y[:,3] - k[100]*y[:,2] - k[110]*y[:,0] - k[119]*y[:,0] - k[253]*y[:,33] - k[256]*y[:,35] - k[31]*y[:,3] - k[320]*y[:,31] - k[33]*y[:,3] - k[36]*y[:,1] - k[424]*y[:,33] - k[441]*y[:,4] - k[515]*y[:,52] - k[51]*y[:,7] - k[553]*y[:,12] - k[585]*y[:,12] - k[616]*y[:,0] - k[67]*y[:,8] - k[70]*y[:,9] - k[80]*y[:,11] - k[89]*y[:,13] - k[91]*y[:,13] - 4*k[95]*y[:,15] - k[97]*y[:,14])
+ dfdy[indx[15], indx[16]] = -(M*k[674] + k[109]*y[:,4] + k[255]*y[:,33] + k[319]*y[:,30] + k[35]*y[:,3] + k[516]*y[:,25] + k[615]*y[:,65] + k[69]*y[:,8] + k[79]*y[:,12] + k[92]*y[:,11] + 2*k[96]*y[:,14] + k[98]*y[:,13] + k[99]*y[:,0])
dfdy[indx[15], indx[17]] = -(0)
dfdy[indx[15], indx[18]] = -(0)
dfdy[indx[15], indx[19]] = -(0)
@@ -8459,15 +9297,15 @@ def neg_symjac(y, M, k):
dfdy[indx[15], indx[22]] = -(0)
dfdy[indx[15], indx[23]] = -(0)
dfdy[indx[15], indx[24]] = -(0)
- dfdy[indx[15], indx[25]] = -(k[517]*y[:,16])
+ dfdy[indx[15], indx[25]] = -(k[516]*y[:,16])
dfdy[indx[15], indx[26]] = -(0)
dfdy[indx[15], indx[27]] = -(0)
dfdy[indx[15], indx[28]] = -(0)
dfdy[indx[15], indx[29]] = -(0)
- dfdy[indx[15], indx[30]] = -(k[321]*y[:,16])
- dfdy[indx[15], indx[31]] = -(-k[322]*y[:,15])
+ dfdy[indx[15], indx[30]] = -(k[319]*y[:,16])
+ dfdy[indx[15], indx[31]] = -(-k[320]*y[:,15])
dfdy[indx[15], indx[32]] = -(0)
- dfdy[indx[15], indx[33]] = -(-k[253]*y[:,15] + k[255]*y[:,16] - k[426]*y[:,15])
+ dfdy[indx[15], indx[33]] = -(-k[253]*y[:,15] + k[255]*y[:,16] - k[424]*y[:,15])
dfdy[indx[15], indx[34]] = -(0)
dfdy[indx[15], indx[35]] = -(k[254]*y[:,14] - k[256]*y[:,15])
dfdy[indx[15], indx[36]] = -(0)
@@ -8480,13 +9318,13 @@ def neg_symjac(y, M, k):
dfdy[indx[15], indx[43]] = -(0)
dfdy[indx[15], indx[44]] = -(0)
dfdy[indx[15], indx[45]] = -(0)
- dfdy[indx[15], indx[46]] = -(k[425]*y[:,8])
+ dfdy[indx[15], indx[46]] = -(k[423]*y[:,8])
dfdy[indx[15], indx[47]] = -(0)
dfdy[indx[15], indx[48]] = -(0)
- dfdy[indx[15], indx[49]] = -(k[444]*y[:,0])
+ dfdy[indx[15], indx[49]] = -(k[442]*y[:,3])
dfdy[indx[15], indx[50]] = -(0)
dfdy[indx[15], indx[51]] = -(0)
- dfdy[indx[15], indx[52]] = -(-k[518]*y[:,15])
+ dfdy[indx[15], indx[52]] = -(-k[515]*y[:,15])
dfdy[indx[15], indx[53]] = -(0)
dfdy[indx[15], indx[54]] = -(0)
dfdy[indx[15], indx[55]] = -(0)
@@ -8496,26 +9334,30 @@ def neg_symjac(y, M, k):
dfdy[indx[15], indx[59]] = -(0)
dfdy[indx[15], indx[60]] = -(0)
dfdy[indx[15], indx[61]] = -(0)
- dfdy[indx[15], indx[62]] = -(0)
+ dfdy[indx[15], indx[62]] = -(k[586]*y[:,3])
dfdy[indx[15], indx[63]] = -(0)
dfdy[indx[15], indx[64]] = -(0)
- dfdy[indx[16], indx[0]] = -(M*k[623]*y[:,15] - k[35]*y[:,16] + 2*k[758]*y[:,0]*y[:,14])
- dfdy[indx[16], indx[1]] = -(k[100]*y[:,15])
- dfdy[indx[16], indx[2]] = -(k[110]*y[:,15] - k[99]*y[:,16])
- dfdy[indx[16], indx[3]] = -(M*k[640]*y[:,14] + k[36]*y[:,15] + k[756]*y[:,14] + 2*k[760]*y[:,11]*y[:,3])
+ dfdy[indx[15], indx[65]] = -(k[615]*y[:,16])
+ dfdy[indx[15], indx[66]] = -(0)
+ dfdy[indx[15], indx[67]] = -(0)
+ dfdy[indx[15], indx[68]] = -(0)
+ dfdy[indx[16], indx[0]] = -(k[110]*y[:,15] + k[616]*y[:,15] - k[99]*y[:,16])
+ dfdy[indx[16], indx[1]] = -(M*k[690]*y[:,14] + k[36]*y[:,15] + k[818]*y[:,14] + 2*k[822]*y[:,11]*y[:,1])
+ dfdy[indx[16], indx[2]] = -(k[100]*y[:,15])
+ dfdy[indx[16], indx[3]] = -(M*k[673]*y[:,15] - k[35]*y[:,16] + 2*k[820]*y[:,14]*y[:,3])
dfdy[indx[16], indx[4]] = -(-k[109]*y[:,16])
dfdy[indx[16], indx[5]] = -(0)
dfdy[indx[16], indx[6]] = -(0)
dfdy[indx[16], indx[7]] = -(0)
- dfdy[indx[16], indx[8]] = -(2*M*k[633]*y[:,8] + k[195]*y[:,24] - k[69]*y[:,16] + 2*k[764]*y[:,8])
- dfdy[indx[16], indx[9]] = -(k[70]*y[:,15] + k[762]*y[:,61])
+ dfdy[indx[16], indx[8]] = -(2*M*k[683]*y[:,8] + k[195]*y[:,24] - k[69]*y[:,16] + 2*k[826]*y[:,8])
+ dfdy[indx[16], indx[9]] = -(k[70]*y[:,15] + k[824]*y[:,66])
dfdy[indx[16], indx[10]] = -(0)
- dfdy[indx[16], indx[11]] = -(k[760]*y[:,3]**2 + k[80]*y[:,15] - k[92]*y[:,16])
+ dfdy[indx[16], indx[11]] = -(k[80]*y[:,15] + k[822]*y[:,1]**2 - k[92]*y[:,16])
dfdy[indx[16], indx[12]] = -(-k[79]*y[:,16])
dfdy[indx[16], indx[13]] = -(k[91]*y[:,15] - k[98]*y[:,16])
- dfdy[indx[16], indx[14]] = -(M*k[640]*y[:,3] + k[756]*y[:,3] + k[758]*y[:,0]**2 - k[96]*y[:,16] + k[97]*y[:,15])
- dfdy[indx[16], indx[15]] = -(M*k[623]*y[:,0] + k[100]*y[:,1] + k[110]*y[:,2] + k[256]*y[:,35] + k[322]*y[:,31] + k[36]*y[:,3] + k[518]*y[:,52] + k[70]*y[:,9] + k[80]*y[:,11] + k[91]*y[:,13] + 2*k[95]*y[:,15] + k[97]*y[:,14])
- dfdy[indx[16], indx[16]] = -(-M*k[624] - M*k[634] - M*k[639] - k[109]*y[:,4] - k[196]*y[:,17] - k[255]*y[:,33] - k[321]*y[:,30] - k[35]*y[:,0] - k[517]*y[:,25] - k[69]*y[:,8] - k[755] - k[757] - k[759] - k[761] - k[763] - k[79]*y[:,12] - k[92]*y[:,11] - k[96]*y[:,14] - k[98]*y[:,13] - k[99]*y[:,2])
+ dfdy[indx[16], indx[14]] = -(M*k[690]*y[:,1] + k[818]*y[:,1] + k[820]*y[:,3]**2 - k[96]*y[:,16] + k[97]*y[:,15])
+ dfdy[indx[16], indx[15]] = -(M*k[673]*y[:,3] + k[100]*y[:,2] + k[110]*y[:,0] + k[256]*y[:,35] + k[320]*y[:,31] + k[36]*y[:,1] + k[515]*y[:,52] + k[616]*y[:,0] + k[70]*y[:,9] + k[80]*y[:,11] + k[91]*y[:,13] + 2*k[95]*y[:,15] + k[97]*y[:,14])
+ dfdy[indx[16], indx[16]] = -(-M*k[674] - M*k[684] - M*k[689] - k[109]*y[:,4] - k[196]*y[:,17] - k[255]*y[:,33] - k[319]*y[:,30] - k[35]*y[:,3] - k[516]*y[:,25] - k[615]*y[:,65] - k[69]*y[:,8] - k[79]*y[:,12] - k[817] - k[819] - k[821] - k[823] - k[825] - k[92]*y[:,11] - k[96]*y[:,14] - k[98]*y[:,13] - k[99]*y[:,0])
dfdy[indx[16], indx[17]] = -(-k[196]*y[:,16])
dfdy[indx[16], indx[18]] = -(0)
dfdy[indx[16], indx[19]] = -(0)
@@ -8524,13 +9366,13 @@ def neg_symjac(y, M, k):
dfdy[indx[16], indx[22]] = -(0)
dfdy[indx[16], indx[23]] = -(0)
dfdy[indx[16], indx[24]] = -(k[195]*y[:,8])
- dfdy[indx[16], indx[25]] = -(-k[517]*y[:,16])
+ dfdy[indx[16], indx[25]] = -(-k[516]*y[:,16])
dfdy[indx[16], indx[26]] = -(0)
dfdy[indx[16], indx[27]] = -(0)
dfdy[indx[16], indx[28]] = -(0)
dfdy[indx[16], indx[29]] = -(0)
- dfdy[indx[16], indx[30]] = -(-k[321]*y[:,16])
- dfdy[indx[16], indx[31]] = -(k[322]*y[:,15])
+ dfdy[indx[16], indx[30]] = -(-k[319]*y[:,16])
+ dfdy[indx[16], indx[31]] = -(k[320]*y[:,15])
dfdy[indx[16], indx[32]] = -(0)
dfdy[indx[16], indx[33]] = -(-k[255]*y[:,16])
dfdy[indx[16], indx[34]] = -(0)
@@ -8551,7 +9393,7 @@ def neg_symjac(y, M, k):
dfdy[indx[16], indx[49]] = -(0)
dfdy[indx[16], indx[50]] = -(0)
dfdy[indx[16], indx[51]] = -(0)
- dfdy[indx[16], indx[52]] = -(k[518]*y[:,15])
+ dfdy[indx[16], indx[52]] = -(k[515]*y[:,15])
dfdy[indx[16], indx[53]] = -(0)
dfdy[indx[16], indx[54]] = -(0)
dfdy[indx[16], indx[55]] = -(0)
@@ -8560,63 +9402,67 @@ def neg_symjac(y, M, k):
dfdy[indx[16], indx[58]] = -(0)
dfdy[indx[16], indx[59]] = -(0)
dfdy[indx[16], indx[60]] = -(0)
- dfdy[indx[16], indx[61]] = -(k[762]*y[:,9])
+ dfdy[indx[16], indx[61]] = -(0)
dfdy[indx[16], indx[62]] = -(0)
dfdy[indx[16], indx[63]] = -(0)
dfdy[indx[16], indx[64]] = -(0)
- dfdy[indx[17], indx[0]] = -(-M*k[645]*y[:,17] - k[104]*y[:,17] - k[112]*y[:,17] + k[131]*y[:,21] - 2*k[148]*y[:,0]*y[:,17] + k[201]*y[:,26] + k[207]*y[:,27] + k[365]*y[:,42] + k[38]*y[:,18] - k[768]*y[:,17])
- dfdy[indx[17], indx[1]] = -(-k[134]*y[:,17] - k[388]*y[:,17])
- dfdy[indx[17], indx[2]] = -(k[111]*y[:,6] + k[133]*y[:,21] + k[269]*y[:,31] - k[37]*y[:,17] + k[504]*y[:,18] + k[55]*y[:,12] + k[71]*y[:,11])
- dfdy[indx[17], indx[3]] = -(-M*k[659]*y[:,17] - k[132]*y[:,17] - k[174]*y[:,17] - k[770]*y[:,17])
- dfdy[indx[17], indx[4]] = -(-M*k[641]*y[:,17] + M*k[705]*y[:,6] + k[103]*y[:,5] + k[147]*y[:,7] + k[173]*y[:,7] + k[275]*y[:,30] + k[323]*y[:,31] - k[386]*y[:,17] + k[41]*y[:,10] + k[57]*y[:,11] + k[740]*y[:,6] - k[746]*y[:,17] + k[81]*y[:,12])
+ dfdy[indx[16], indx[65]] = -(-k[615]*y[:,16])
+ dfdy[indx[16], indx[66]] = -(k[824]*y[:,9])
+ dfdy[indx[16], indx[67]] = -(0)
+ dfdy[indx[16], indx[68]] = -(0)
+ dfdy[indx[17], indx[0]] = -(k[111]*y[:,6] + k[133]*y[:,21] + k[269]*y[:,31] - k[37]*y[:,17] + k[502]*y[:,18] + k[55]*y[:,12] + k[71]*y[:,11])
+ dfdy[indx[17], indx[1]] = -(-M*k[709]*y[:,17] - k[132]*y[:,17] - k[174]*y[:,17] - k[832]*y[:,17])
+ dfdy[indx[17], indx[2]] = -(-k[134]*y[:,17] - k[386]*y[:,17])
+ dfdy[indx[17], indx[3]] = -(-M*k[695]*y[:,17] - k[104]*y[:,17] - k[112]*y[:,17] + k[131]*y[:,21] - 2*k[148]*y[:,17]*y[:,3] + k[201]*y[:,26] + k[207]*y[:,27] + k[363]*y[:,42] + k[38]*y[:,18] - k[830]*y[:,17])
+ dfdy[indx[17], indx[4]] = -(-M*k[691]*y[:,17] + M*k[769]*y[:,6] + k[103]*y[:,5] + k[147]*y[:,7] + k[173]*y[:,7] + k[275]*y[:,30] + k[321]*y[:,31] - k[384]*y[:,17] + k[41]*y[:,10] + k[57]*y[:,11] + k[802]*y[:,6] - k[808]*y[:,17] + k[81]*y[:,12])
dfdy[indx[17], indx[5]] = -(k[103]*y[:,4] + k[135]*y[:,18] + k[291]*y[:,32] - k[82]*y[:,17])
- dfdy[indx[17], indx[6]] = -(M*k[705]*y[:,4] + k[111]*y[:,2] + k[385]*y[:,25] - k[42]*y[:,17] + k[740]*y[:,4])
- dfdy[indx[17], indx[7]] = -(k[147]*y[:,4] + k[151]*y[:,18] + k[173]*y[:,4] + k[175]*y[:,21] - k[208]*y[:,17] + k[387]*y[:,25] - k[56]*y[:,17] - k[58]*y[:,17])
- dfdy[indx[17], indx[8]] = -(-M*k[655]*y[:,17] + k[154]*y[:,18] - k[176]*y[:,17] + k[187]*y[:,21] + k[195]*y[:,24] - k[202]*y[:,17] - k[72]*y[:,17])
- dfdy[indx[17], indx[9]] = -(-k[188]*y[:,17] - k[780]*y[:,17])
+ dfdy[indx[17], indx[6]] = -(M*k[769]*y[:,4] + k[111]*y[:,0] + k[383]*y[:,25] - k[42]*y[:,17] + k[802]*y[:,4])
+ dfdy[indx[17], indx[7]] = -(k[147]*y[:,4] + k[151]*y[:,18] + k[173]*y[:,4] + k[175]*y[:,21] - k[208]*y[:,17] + k[385]*y[:,25] - k[56]*y[:,17] - k[58]*y[:,17])
+ dfdy[indx[17], indx[8]] = -(-M*k[705]*y[:,17] + k[154]*y[:,18] - k[176]*y[:,17] + k[187]*y[:,21] + k[195]*y[:,24] - k[202]*y[:,17] - k[72]*y[:,17])
+ dfdy[indx[17], indx[9]] = -(-k[188]*y[:,17] - k[842]*y[:,17])
dfdy[indx[17], indx[10]] = -(k[41]*y[:,4])
- dfdy[indx[17], indx[11]] = -(-k[158]*y[:,17] + k[57]*y[:,4] + k[71]*y[:,2])
- dfdy[indx[17], indx[12]] = -(k[157]*y[:,21] + k[391]*y[:,25] + k[55]*y[:,2] + k[81]*y[:,4])
+ dfdy[indx[17], indx[11]] = -(-k[158]*y[:,17] + k[57]*y[:,4] + k[71]*y[:,0])
+ dfdy[indx[17], indx[12]] = -(k[157]*y[:,21] + k[389]*y[:,25] + k[55]*y[:,0] + k[81]*y[:,4])
dfdy[indx[17], indx[13]] = -(0)
dfdy[indx[17], indx[14]] = -(0)
dfdy[indx[17], indx[15]] = -(0)
dfdy[indx[17], indx[16]] = -(-k[196]*y[:,17])
- dfdy[indx[17], indx[17]] = -(-M*k[641]*y[:,4] - M*k[645]*y[:,0] - M*k[655]*y[:,8] - M*k[659]*y[:,3] - M*k[674]*y[:,29] - M*k[706] - k[104]*y[:,0] - k[112]*y[:,0] - k[132]*y[:,3] - k[134]*y[:,1] - k[136]*y[:,21] - k[148]*y[:,0]**2 - k[152]*y[:,20] - k[153]*y[:,22] - k[158]*y[:,11] - k[174]*y[:,3] - k[176]*y[:,8] - k[188]*y[:,9] - k[196]*y[:,16] - k[202]*y[:,8] - k[208]*y[:,7] - k[212]*y[:,20] - k[270]*y[:,33] - k[276]*y[:,28] - k[278]*y[:,32] - k[292]*y[:,29] - k[300]*y[:,34] - k[324]*y[:,29] - k[366]*y[:,33] - k[37]*y[:,2] - k[386]*y[:,4] - k[388]*y[:,1] - k[392]*y[:,21] - k[42]*y[:,6] - k[458]*y[:,41] - k[474]*y[:,42] - k[476]*y[:,51] - k[503]*y[:,52] - k[520]*y[:,52] - k[56]*y[:,7] - k[585]*y[:,60] - k[58]*y[:,7] - k[72]*y[:,8] - k[739] - k[746]*y[:,4] - k[748]*y[:,60] - k[768]*y[:,0] - k[770]*y[:,3] - k[780]*y[:,9] - k[798]*y[:,29] - k[82]*y[:,5])
- dfdy[indx[17], indx[18]] = -(M*k[642] + k[135]*y[:,5] + k[151]*y[:,7] + k[154]*y[:,8] + k[277]*y[:,28] + k[38]*y[:,0] + k[475]*y[:,30] + k[504]*y[:,2] + k[586] + k[745] + k[747])
+ dfdy[indx[17], indx[17]] = -(-M*k[691]*y[:,4] - M*k[695]*y[:,3] - M*k[705]*y[:,8] - M*k[709]*y[:,1] - M*k[724]*y[:,29] - M*k[770] - k[104]*y[:,3] - k[112]*y[:,3] - k[132]*y[:,1] - k[134]*y[:,2] - k[136]*y[:,21] - k[148]*y[:,3]**2 - k[152]*y[:,20] - k[153]*y[:,22] - k[158]*y[:,11] - k[174]*y[:,1] - k[176]*y[:,8] - k[188]*y[:,9] - k[196]*y[:,16] - k[202]*y[:,8] - k[208]*y[:,7] - k[212]*y[:,20] - k[270]*y[:,33] - k[276]*y[:,28] - k[278]*y[:,32] - k[292]*y[:,29] - k[300]*y[:,34] - k[322]*y[:,29] - k[364]*y[:,33] - k[37]*y[:,0] - k[384]*y[:,4] - k[386]*y[:,2] - k[390]*y[:,21] - k[42]*y[:,6] - k[456]*y[:,40] - k[472]*y[:,42] - k[474]*y[:,51] - k[501]*y[:,52] - k[518]*y[:,52] - k[56]*y[:,7] - k[58]*y[:,7] - k[627]*y[:,65] - k[72]*y[:,8] - k[801] - k[808]*y[:,4] - k[810]*y[:,65] - k[82]*y[:,5] - k[830]*y[:,3] - k[832]*y[:,1] - k[842]*y[:,9] - k[860]*y[:,29])
+ dfdy[indx[17], indx[18]] = -(M*k[692] + k[135]*y[:,5] + k[151]*y[:,7] + k[154]*y[:,8] + k[277]*y[:,28] + k[38]*y[:,3] + k[473]*y[:,30] + k[502]*y[:,0] + k[628] + k[807] + k[809])
dfdy[indx[17], indx[19]] = -(0)
- dfdy[indx[17], indx[20]] = -(M*k[660] - k[152]*y[:,17] - k[212]*y[:,17] + k[769])
- dfdy[indx[17], indx[21]] = -(M*k[646] + k[131]*y[:,0] + k[133]*y[:,2] - k[136]*y[:,17] + k[157]*y[:,12] + k[175]*y[:,7] + k[187]*y[:,8] + 2*k[211]*y[:,21] - k[392]*y[:,17] + k[457]*y[:,32] + k[473]*y[:,51] + k[519]*y[:,25] + k[767])
+ dfdy[indx[17], indx[20]] = -(M*k[710] - k[152]*y[:,17] - k[212]*y[:,17] + k[831])
+ dfdy[indx[17], indx[21]] = -(M*k[696] + k[131]*y[:,3] + k[133]*y[:,0] - k[136]*y[:,17] + k[157]*y[:,12] + k[175]*y[:,7] + k[187]*y[:,8] + 2*k[211]*y[:,21] - k[390]*y[:,17] + k[455]*y[:,32] + k[471]*y[:,51] + k[517]*y[:,25] + k[829])
dfdy[indx[17], indx[22]] = -(-k[153]*y[:,17])
dfdy[indx[17], indx[23]] = -(0)
- dfdy[indx[17], indx[24]] = -(M*k[656] + k[195]*y[:,8])
- dfdy[indx[17], indx[25]] = -(k[385]*y[:,6] + k[387]*y[:,7] + k[391]*y[:,12] + k[519]*y[:,21])
- dfdy[indx[17], indx[26]] = -(k[201]*y[:,0])
- dfdy[indx[17], indx[27]] = -(k[207]*y[:,0])
+ dfdy[indx[17], indx[24]] = -(M*k[706] + k[195]*y[:,8])
+ dfdy[indx[17], indx[25]] = -(k[383]*y[:,6] + k[385]*y[:,7] + k[389]*y[:,12] + k[517]*y[:,21])
+ dfdy[indx[17], indx[26]] = -(k[201]*y[:,3])
+ dfdy[indx[17], indx[27]] = -(k[207]*y[:,3])
dfdy[indx[17], indx[28]] = -(-k[276]*y[:,17] + k[277]*y[:,18])
- dfdy[indx[17], indx[29]] = -(-M*k[674]*y[:,17] - k[292]*y[:,17] - k[324]*y[:,17] - k[798]*y[:,17])
- dfdy[indx[17], indx[30]] = -(k[275]*y[:,4] + k[299]*y[:,32] + k[475]*y[:,18])
- dfdy[indx[17], indx[31]] = -(k[269]*y[:,2] + k[323]*y[:,4])
- dfdy[indx[17], indx[32]] = -(-k[278]*y[:,17] + k[291]*y[:,5] + k[299]*y[:,30] + k[457]*y[:,21])
- dfdy[indx[17], indx[33]] = -(-k[270]*y[:,17] - k[366]*y[:,17])
+ dfdy[indx[17], indx[29]] = -(-M*k[724]*y[:,17] - k[292]*y[:,17] - k[322]*y[:,17] - k[860]*y[:,17])
+ dfdy[indx[17], indx[30]] = -(k[275]*y[:,4] + k[299]*y[:,32] + k[473]*y[:,18])
+ dfdy[indx[17], indx[31]] = -(k[269]*y[:,0] + k[321]*y[:,4])
+ dfdy[indx[17], indx[32]] = -(-k[278]*y[:,17] + k[291]*y[:,5] + k[299]*y[:,30] + k[455]*y[:,21])
+ dfdy[indx[17], indx[33]] = -(-k[270]*y[:,17] - k[364]*y[:,17])
dfdy[indx[17], indx[34]] = -(-k[300]*y[:,17])
dfdy[indx[17], indx[35]] = -(0)
dfdy[indx[17], indx[36]] = -(0)
dfdy[indx[17], indx[37]] = -(0)
dfdy[indx[17], indx[38]] = -(0)
dfdy[indx[17], indx[39]] = -(0)
- dfdy[indx[17], indx[40]] = -(0)
- dfdy[indx[17], indx[41]] = -(-k[458]*y[:,17])
- dfdy[indx[17], indx[42]] = -(M*k[673] + k[365]*y[:,0] - k[474]*y[:,17] + k[797])
+ dfdy[indx[17], indx[40]] = -(-k[456]*y[:,17])
+ dfdy[indx[17], indx[41]] = -(0)
+ dfdy[indx[17], indx[42]] = -(M*k[723] + k[363]*y[:,3] - k[472]*y[:,17] + k[859])
dfdy[indx[17], indx[43]] = -(0)
dfdy[indx[17], indx[44]] = -(0)
dfdy[indx[17], indx[45]] = -(0)
dfdy[indx[17], indx[46]] = -(0)
dfdy[indx[17], indx[47]] = -(0)
dfdy[indx[17], indx[48]] = -(0)
- dfdy[indx[17], indx[49]] = -(k[779])
+ dfdy[indx[17], indx[49]] = -(k[841])
dfdy[indx[17], indx[50]] = -(0)
- dfdy[indx[17], indx[51]] = -(k[473]*y[:,21] - k[476]*y[:,17])
- dfdy[indx[17], indx[52]] = -(-k[503]*y[:,17] - k[520]*y[:,17])
+ dfdy[indx[17], indx[51]] = -(k[471]*y[:,21] - k[474]*y[:,17])
+ dfdy[indx[17], indx[52]] = -(-k[501]*y[:,17] - k[518]*y[:,17])
dfdy[indx[17], indx[53]] = -(0)
dfdy[indx[17], indx[54]] = -(0)
dfdy[indx[17], indx[55]] = -(0)
@@ -8624,16 +9470,20 @@ def neg_symjac(y, M, k):
dfdy[indx[17], indx[57]] = -(0)
dfdy[indx[17], indx[58]] = -(0)
dfdy[indx[17], indx[59]] = -(0)
- dfdy[indx[17], indx[60]] = -(-k[585]*y[:,17] - k[748]*y[:,17])
+ dfdy[indx[17], indx[60]] = -(0)
dfdy[indx[17], indx[61]] = -(0)
dfdy[indx[17], indx[62]] = -(0)
dfdy[indx[17], indx[63]] = -(0)
dfdy[indx[17], indx[64]] = -(0)
- dfdy[indx[18], indx[0]] = -(-k[38]*y[:,18])
+ dfdy[indx[17], indx[65]] = -(-k[627]*y[:,17] - k[810]*y[:,17])
+ dfdy[indx[17], indx[66]] = -(0)
+ dfdy[indx[17], indx[67]] = -(0)
+ dfdy[indx[17], indx[68]] = -(0)
+ dfdy[indx[18], indx[0]] = -(k[37]*y[:,17] - k[502]*y[:,18])
dfdy[indx[18], indx[1]] = -(0)
- dfdy[indx[18], indx[2]] = -(k[37]*y[:,17] - k[504]*y[:,18])
- dfdy[indx[18], indx[3]] = -(0)
- dfdy[indx[18], indx[4]] = -(M*k[641]*y[:,17] + k[746]*y[:,17])
+ dfdy[indx[18], indx[2]] = -(0)
+ dfdy[indx[18], indx[3]] = -(-k[38]*y[:,18])
+ dfdy[indx[18], indx[4]] = -(M*k[691]*y[:,17] + k[808]*y[:,17])
dfdy[indx[18], indx[5]] = -(-k[135]*y[:,18])
dfdy[indx[18], indx[6]] = -(0)
dfdy[indx[18], indx[7]] = -(-k[151]*y[:,18])
@@ -8646,8 +9496,8 @@ def neg_symjac(y, M, k):
dfdy[indx[18], indx[14]] = -(0)
dfdy[indx[18], indx[15]] = -(0)
dfdy[indx[18], indx[16]] = -(0)
- dfdy[indx[18], indx[17]] = -(M*k[641]*y[:,4] + k[136]*y[:,21] + k[152]*y[:,20] + k[153]*y[:,22] + k[278]*y[:,32] + k[37]*y[:,2] + k[476]*y[:,51] + k[503]*y[:,52] + k[585]*y[:,60] + k[746]*y[:,4] + k[748]*y[:,60])
- dfdy[indx[18], indx[18]] = -(-M*k[642] - k[135]*y[:,5] - k[151]*y[:,7] - k[154]*y[:,8] - k[277]*y[:,28] - k[38]*y[:,0] - k[475]*y[:,30] - k[504]*y[:,2] - k[586] - k[745] - k[747])
+ dfdy[indx[18], indx[17]] = -(M*k[691]*y[:,4] + k[136]*y[:,21] + k[152]*y[:,20] + k[153]*y[:,22] + k[278]*y[:,32] + k[37]*y[:,0] + k[474]*y[:,51] + k[501]*y[:,52] + k[627]*y[:,65] + k[808]*y[:,4] + k[810]*y[:,65])
+ dfdy[indx[18], indx[18]] = -(-M*k[692] - k[135]*y[:,5] - k[151]*y[:,7] - k[154]*y[:,8] - k[277]*y[:,28] - k[38]*y[:,3] - k[473]*y[:,30] - k[502]*y[:,0] - k[628] - k[807] - k[809])
dfdy[indx[18], indx[19]] = -(0)
dfdy[indx[18], indx[20]] = -(k[152]*y[:,17])
dfdy[indx[18], indx[21]] = -(k[136]*y[:,17])
@@ -8659,7 +9509,7 @@ def neg_symjac(y, M, k):
dfdy[indx[18], indx[27]] = -(0)
dfdy[indx[18], indx[28]] = -(-k[277]*y[:,18])
dfdy[indx[18], indx[29]] = -(0)
- dfdy[indx[18], indx[30]] = -(-k[475]*y[:,18])
+ dfdy[indx[18], indx[30]] = -(-k[473]*y[:,18])
dfdy[indx[18], indx[31]] = -(0)
dfdy[indx[18], indx[32]] = -(k[278]*y[:,17])
dfdy[indx[18], indx[33]] = -(0)
@@ -8680,8 +9530,8 @@ def neg_symjac(y, M, k):
dfdy[indx[18], indx[48]] = -(0)
dfdy[indx[18], indx[49]] = -(0)
dfdy[indx[18], indx[50]] = -(0)
- dfdy[indx[18], indx[51]] = -(k[476]*y[:,17])
- dfdy[indx[18], indx[52]] = -(k[503]*y[:,17])
+ dfdy[indx[18], indx[51]] = -(k[474]*y[:,17])
+ dfdy[indx[18], indx[52]] = -(k[501]*y[:,17])
dfdy[indx[18], indx[53]] = -(0)
dfdy[indx[18], indx[54]] = -(0)
dfdy[indx[18], indx[55]] = -(0)
@@ -8689,35 +9539,39 @@ def neg_symjac(y, M, k):
dfdy[indx[18], indx[57]] = -(0)
dfdy[indx[18], indx[58]] = -(0)
dfdy[indx[18], indx[59]] = -(0)
- dfdy[indx[18], indx[60]] = -(k[585]*y[:,17] + k[748]*y[:,17])
+ dfdy[indx[18], indx[60]] = -(0)
dfdy[indx[18], indx[61]] = -(0)
dfdy[indx[18], indx[62]] = -(0)
dfdy[indx[18], indx[63]] = -(0)
dfdy[indx[18], indx[64]] = -(0)
- dfdy[indx[19], indx[0]] = -(M*k[644]*y[:,20] - M*k[651]*y[:,19] - k[121]*y[:,19] + k[155]*y[:,23])
- dfdy[indx[19], indx[1]] = -(M*k[647]*y[:,5])
- dfdy[indx[19], indx[2]] = -(k[122]*y[:,8] + k[178]*y[:,14] + k[427]*y[:,46] + k[560]*y[:,58])
- dfdy[indx[19], indx[3]] = -(-k[156]*y[:,19])
+ dfdy[indx[18], indx[65]] = -(k[627]*y[:,17] + k[810]*y[:,17])
+ dfdy[indx[18], indx[66]] = -(0)
+ dfdy[indx[18], indx[67]] = -(0)
+ dfdy[indx[18], indx[68]] = -(0)
+ dfdy[indx[19], indx[0]] = -(k[122]*y[:,8] + k[178]*y[:,14] + k[425]*y[:,46] + k[560]*y[:,58] + k[601]*y[:,23])
+ dfdy[indx[19], indx[1]] = -(-k[156]*y[:,19])
+ dfdy[indx[19], indx[2]] = -(M*k[697]*y[:,5] - k[602]*y[:,19])
+ dfdy[indx[19], indx[3]] = -(M*k[694]*y[:,20] - M*k[701]*y[:,19] - k[121]*y[:,19] + k[155]*y[:,23])
dfdy[indx[19], indx[4]] = -(0)
- dfdy[indx[19], indx[5]] = -(M*k[647]*y[:,1])
+ dfdy[indx[19], indx[5]] = -(M*k[697]*y[:,2])
dfdy[indx[19], indx[6]] = -(0)
dfdy[indx[19], indx[7]] = -(-k[177]*y[:,19] - k[179]*y[:,19] + k[185]*y[:,23])
- dfdy[indx[19], indx[8]] = -(k[122]*y[:,2] - k[129]*y[:,19] + k[180]*y[:,20] - k[186]*y[:,19])
+ dfdy[indx[19], indx[8]] = -(k[122]*y[:,0] - k[129]*y[:,19] + k[180]*y[:,20] - k[186]*y[:,19])
dfdy[indx[19], indx[9]] = -(k[130]*y[:,20])
dfdy[indx[19], indx[10]] = -(0)
dfdy[indx[19], indx[11]] = -(k[160]*y[:,20] - k[164]*y[:,19])
dfdy[indx[19], indx[12]] = -(-k[159]*y[:,19] + k[163]*y[:,23] - k[559]*y[:,19])
dfdy[indx[19], indx[13]] = -(0)
- dfdy[indx[19], indx[14]] = -(k[178]*y[:,2])
+ dfdy[indx[19], indx[14]] = -(k[178]*y[:,0])
dfdy[indx[19], indx[15]] = -(0)
dfdy[indx[19], indx[16]] = -(0)
dfdy[indx[19], indx[17]] = -(0)
dfdy[indx[19], indx[18]] = -(0)
- dfdy[indx[19], indx[19]] = -(-M*k[643] - M*k[648] - M*k[651]*y[:,0] - k[121]*y[:,0] - k[129]*y[:,8] - k[156]*y[:,3] - k[159]*y[:,12] - k[164]*y[:,11] - k[177]*y[:,7] - k[179]*y[:,7] - k[186]*y[:,8] - k[213]*y[:,22] - k[428]*y[:,33] - k[559]*y[:,12])
- dfdy[indx[19], indx[20]] = -(M*k[644]*y[:,0] + k[130]*y[:,9] + k[160]*y[:,11] + k[180]*y[:,8] + k[214]*y[:,23])
+ dfdy[indx[19], indx[19]] = -(-M*k[693] - M*k[698] - M*k[701]*y[:,3] - k[121]*y[:,3] - k[129]*y[:,8] - k[156]*y[:,1] - k[159]*y[:,12] - k[164]*y[:,11] - k[177]*y[:,7] - k[179]*y[:,7] - k[186]*y[:,8] - k[213]*y[:,22] - k[426]*y[:,33] - k[559]*y[:,12] - k[602]*y[:,2])
+ dfdy[indx[19], indx[20]] = -(M*k[694]*y[:,3] + k[130]*y[:,9] + k[160]*y[:,11] + k[180]*y[:,8] + k[214]*y[:,23])
dfdy[indx[19], indx[21]] = -(0)
dfdy[indx[19], indx[22]] = -(-k[213]*y[:,19])
- dfdy[indx[19], indx[23]] = -(M*k[652] + k[155]*y[:,0] + k[163]*y[:,12] + k[185]*y[:,7] + k[214]*y[:,20])
+ dfdy[indx[19], indx[23]] = -(M*k[702] + k[155]*y[:,3] + k[163]*y[:,12] + k[185]*y[:,7] + k[214]*y[:,20] + k[601]*y[:,0])
dfdy[indx[19], indx[24]] = -(0)
dfdy[indx[19], indx[25]] = -(0)
dfdy[indx[19], indx[26]] = -(0)
@@ -8727,7 +9581,7 @@ def neg_symjac(y, M, k):
dfdy[indx[19], indx[30]] = -(0)
dfdy[indx[19], indx[31]] = -(0)
dfdy[indx[19], indx[32]] = -(0)
- dfdy[indx[19], indx[33]] = -(-k[428]*y[:,19])
+ dfdy[indx[19], indx[33]] = -(-k[426]*y[:,19])
dfdy[indx[19], indx[34]] = -(0)
dfdy[indx[19], indx[35]] = -(0)
dfdy[indx[19], indx[36]] = -(0)
@@ -8740,7 +9594,7 @@ def neg_symjac(y, M, k):
dfdy[indx[19], indx[43]] = -(0)
dfdy[indx[19], indx[44]] = -(0)
dfdy[indx[19], indx[45]] = -(0)
- dfdy[indx[19], indx[46]] = -(k[427]*y[:,2])
+ dfdy[indx[19], indx[46]] = -(k[425]*y[:,0])
dfdy[indx[19], indx[47]] = -(0)
dfdy[indx[19], indx[48]] = -(0)
dfdy[indx[19], indx[49]] = -(0)
@@ -8752,46 +9606,50 @@ def neg_symjac(y, M, k):
dfdy[indx[19], indx[55]] = -(0)
dfdy[indx[19], indx[56]] = -(0)
dfdy[indx[19], indx[57]] = -(0)
- dfdy[indx[19], indx[58]] = -(k[560]*y[:,2])
+ dfdy[indx[19], indx[58]] = -(k[560]*y[:,0])
dfdy[indx[19], indx[59]] = -(0)
dfdy[indx[19], indx[60]] = -(0)
dfdy[indx[19], indx[61]] = -(0)
dfdy[indx[19], indx[62]] = -(0)
dfdy[indx[19], indx[63]] = -(0)
dfdy[indx[19], indx[64]] = -(0)
- dfdy[indx[20], indx[0]] = -(-M*k[644]*y[:,20] - M*k[650]*y[:,20] + M*k[657]*y[:,21] - k[123]*y[:,20] - k[138]*y[:,20] - k[150]*y[:,20] + k[199]*y[:,22] - k[442]*y[:,20] + k[772]*y[:,21])
- dfdy[indx[20], indx[1]] = -(-k[142]*y[:,20] + k[441]*y[:,5])
- dfdy[indx[20], indx[2]] = -(-k[140]*y[:,20] + k[141]*y[:,22] + k[149]*y[:,7] + k[210]*y[:,21] - k[390]*y[:,20])
- dfdy[indx[20], indx[3]] = -(M*k[659]*y[:,17] + k[124]*y[:,21] - k[200]*y[:,20] + k[770]*y[:,17] - k[776]*y[:,20])
- dfdy[indx[20], indx[4]] = -(k[137]*y[:,8] + k[139]*y[:,22] - k[209]*y[:,20])
- dfdy[indx[20], indx[5]] = -(k[441]*y[:,1])
+ dfdy[indx[19], indx[65]] = -(0)
+ dfdy[indx[19], indx[66]] = -(0)
+ dfdy[indx[19], indx[67]] = -(0)
+ dfdy[indx[19], indx[68]] = -(0)
+ dfdy[indx[20], indx[0]] = -(-k[140]*y[:,20] + k[141]*y[:,22] + k[149]*y[:,7] + k[210]*y[:,21] - k[388]*y[:,20])
+ dfdy[indx[20], indx[1]] = -(M*k[709]*y[:,17] + k[124]*y[:,21] - k[200]*y[:,20] + k[832]*y[:,17] - k[838]*y[:,20])
+ dfdy[indx[20], indx[2]] = -(-k[142]*y[:,20] + k[439]*y[:,5])
+ dfdy[indx[20], indx[3]] = -(-M*k[694]*y[:,20] - M*k[700]*y[:,20] + M*k[707]*y[:,21] - k[123]*y[:,20] - k[138]*y[:,20] - k[150]*y[:,20] + k[199]*y[:,22] - k[440]*y[:,20] + k[834]*y[:,21])
+ dfdy[indx[20], indx[4]] = -(k[137]*y[:,8] + k[139]*y[:,22] - k[209]*y[:,20] + k[595]*y[:,14])
+ dfdy[indx[20], indx[5]] = -(k[439]*y[:,2])
dfdy[indx[20], indx[6]] = -(0)
- dfdy[indx[20], indx[7]] = -(k[149]*y[:,2] + k[151]*y[:,18] + k[179]*y[:,19] + k[181]*y[:,22])
- dfdy[indx[20], indx[8]] = -(-k[127]*y[:,20] + k[129]*y[:,19] + k[137]*y[:,4] - k[180]*y[:,20] - k[182]*y[:,20] + k[189]*y[:,22] + k[389]*y[:,25])
+ dfdy[indx[20], indx[7]] = -(k[149]*y[:,0] + k[151]*y[:,18] + k[179]*y[:,19] + k[181]*y[:,22] - k[596]*y[:,20])
+ dfdy[indx[20], indx[8]] = -(-k[127]*y[:,20] + k[129]*y[:,19] + k[137]*y[:,4] - k[180]*y[:,20] - k[182]*y[:,20] + k[189]*y[:,22] + k[387]*y[:,25])
dfdy[indx[20], indx[9]] = -(k[128]*y[:,21] - k[130]*y[:,20] - k[190]*y[:,20])
dfdy[indx[20], indx[10]] = -(0)
dfdy[indx[20], indx[11]] = -(-k[160]*y[:,20] - k[162]*y[:,20])
dfdy[indx[20], indx[12]] = -(k[159]*y[:,19] + k[161]*y[:,22])
- dfdy[indx[20], indx[13]] = -(k[393]*y[:,25])
- dfdy[indx[20], indx[14]] = -(0)
+ dfdy[indx[20], indx[13]] = -(k[391]*y[:,25])
+ dfdy[indx[20], indx[14]] = -(k[595]*y[:,4])
dfdy[indx[20], indx[15]] = -(0)
dfdy[indx[20], indx[16]] = -(0)
- dfdy[indx[20], indx[17]] = -(M*k[659]*y[:,3] - k[152]*y[:,20] - k[212]*y[:,20] + k[770]*y[:,3])
+ dfdy[indx[20], indx[17]] = -(M*k[709]*y[:,1] - k[152]*y[:,20] - k[212]*y[:,20] + k[832]*y[:,1])
dfdy[indx[20], indx[18]] = -(k[151]*y[:,7])
- dfdy[indx[20], indx[19]] = -(M*k[643] + k[129]*y[:,8] + k[159]*y[:,12] + k[179]*y[:,7] + k[213]*y[:,22])
- dfdy[indx[20], indx[20]] = -(-M*k[644]*y[:,0] - M*k[650]*y[:,0] - M*k[658] - M*k[660] - k[123]*y[:,0] - k[127]*y[:,8] - k[130]*y[:,9] - k[138]*y[:,0] - k[140]*y[:,2] - k[142]*y[:,1] - k[150]*y[:,0] - k[152]*y[:,17] - k[160]*y[:,11] - k[162]*y[:,11] - k[180]*y[:,8] - k[182]*y[:,8] - k[190]*y[:,9] - k[200]*y[:,3] - k[209]*y[:,4] - k[212]*y[:,17] - k[214]*y[:,23] - k[216]*y[:,23] - k[390]*y[:,2] - k[394]*y[:,21] - k[442]*y[:,0] - k[456]*y[:,41] - k[769] - k[771] - k[776]*y[:,3])
- dfdy[indx[20], indx[21]] = -(M*k[657]*y[:,0] + k[124]*y[:,3] + k[128]*y[:,9] + k[210]*y[:,2] + 2*k[211]*y[:,21] - k[394]*y[:,20] + k[772]*y[:,0])
- dfdy[indx[20], indx[22]] = -(M*k[649] + k[139]*y[:,4] + k[141]*y[:,2] + k[161]*y[:,12] + k[181]*y[:,7] + k[189]*y[:,8] + k[199]*y[:,0] + k[213]*y[:,19] + 2*k[215]*y[:,22] + k[455]*y[:,32])
- dfdy[indx[20], indx[23]] = -(-k[214]*y[:,20] - k[216]*y[:,20] + k[775])
+ dfdy[indx[20], indx[19]] = -(M*k[693] + k[129]*y[:,8] + k[159]*y[:,12] + k[179]*y[:,7] + k[213]*y[:,22])
+ dfdy[indx[20], indx[20]] = -(-M*k[694]*y[:,3] - M*k[700]*y[:,3] - M*k[708] - M*k[710] - k[123]*y[:,3] - k[127]*y[:,8] - k[130]*y[:,9] - k[138]*y[:,3] - k[140]*y[:,0] - k[142]*y[:,2] - k[150]*y[:,3] - k[152]*y[:,17] - k[160]*y[:,11] - k[162]*y[:,11] - k[180]*y[:,8] - k[182]*y[:,8] - k[190]*y[:,9] - k[200]*y[:,1] - k[209]*y[:,4] - k[212]*y[:,17] - k[214]*y[:,23] - k[216]*y[:,23] - k[388]*y[:,0] - k[392]*y[:,21] - k[440]*y[:,3] - k[454]*y[:,40] - k[596]*y[:,7] - k[605]*y[:,25] - k[610]*y[:,52] - k[831] - k[833] - k[838]*y[:,1])
+ dfdy[indx[20], indx[21]] = -(M*k[707]*y[:,3] + k[124]*y[:,1] + k[128]*y[:,9] + k[210]*y[:,0] + 2*k[211]*y[:,21] - k[392]*y[:,20] + k[606]*y[:,52] + k[834]*y[:,3])
+ dfdy[indx[20], indx[22]] = -(M*k[699] + k[139]*y[:,4] + k[141]*y[:,0] + k[161]*y[:,12] + k[181]*y[:,7] + k[189]*y[:,8] + k[199]*y[:,3] + k[213]*y[:,19] + 2*k[215]*y[:,22] + k[453]*y[:,32] + k[609]*y[:,25])
+ dfdy[indx[20], indx[23]] = -(-k[214]*y[:,20] - k[216]*y[:,20] + k[837])
dfdy[indx[20], indx[24]] = -(0)
- dfdy[indx[20], indx[25]] = -(k[389]*y[:,8] + k[393]*y[:,13])
+ dfdy[indx[20], indx[25]] = -(k[387]*y[:,8] + k[391]*y[:,13] - k[605]*y[:,20] + k[609]*y[:,22])
dfdy[indx[20], indx[26]] = -(0)
dfdy[indx[20], indx[27]] = -(0)
dfdy[indx[20], indx[28]] = -(0)
dfdy[indx[20], indx[29]] = -(0)
dfdy[indx[20], indx[30]] = -(0)
dfdy[indx[20], indx[31]] = -(0)
- dfdy[indx[20], indx[32]] = -(k[455]*y[:,22])
+ dfdy[indx[20], indx[32]] = -(k[453]*y[:,22])
dfdy[indx[20], indx[33]] = -(0)
dfdy[indx[20], indx[34]] = -(0)
dfdy[indx[20], indx[35]] = -(0)
@@ -8799,8 +9657,8 @@ def neg_symjac(y, M, k):
dfdy[indx[20], indx[37]] = -(0)
dfdy[indx[20], indx[38]] = -(0)
dfdy[indx[20], indx[39]] = -(0)
- dfdy[indx[20], indx[40]] = -(0)
- dfdy[indx[20], indx[41]] = -(-k[456]*y[:,20])
+ dfdy[indx[20], indx[40]] = -(-k[454]*y[:,20])
+ dfdy[indx[20], indx[41]] = -(0)
dfdy[indx[20], indx[42]] = -(0)
dfdy[indx[20], indx[43]] = -(0)
dfdy[indx[20], indx[44]] = -(0)
@@ -8811,7 +9669,7 @@ def neg_symjac(y, M, k):
dfdy[indx[20], indx[49]] = -(0)
dfdy[indx[20], indx[50]] = -(0)
dfdy[indx[20], indx[51]] = -(0)
- dfdy[indx[20], indx[52]] = -(0)
+ dfdy[indx[20], indx[52]] = -(k[606]*y[:,21] - k[610]*y[:,20])
dfdy[indx[20], indx[53]] = -(0)
dfdy[indx[20], indx[54]] = -(0)
dfdy[indx[20], indx[55]] = -(0)
@@ -8824,39 +9682,43 @@ def neg_symjac(y, M, k):
dfdy[indx[20], indx[62]] = -(0)
dfdy[indx[20], indx[63]] = -(0)
dfdy[indx[20], indx[64]] = -(0)
- dfdy[indx[21], indx[0]] = -(M*k[645]*y[:,17] - M*k[657]*y[:,21] + k[123]*y[:,20] - k[131]*y[:,21] + k[193]*y[:,24] + k[768]*y[:,17] - k[772]*y[:,21])
- dfdy[indx[21], indx[1]] = -(k[134]*y[:,17])
- dfdy[indx[21], indx[2]] = -(-k[133]*y[:,21] - k[210]*y[:,21] + k[557]*y[:,58])
- dfdy[indx[21], indx[3]] = -(-k[124]*y[:,21] + k[132]*y[:,17])
- dfdy[indx[21], indx[4]] = -(k[125]*y[:,14] + k[209]*y[:,20])
+ dfdy[indx[20], indx[65]] = -(0)
+ dfdy[indx[20], indx[66]] = -(0)
+ dfdy[indx[20], indx[67]] = -(0)
+ dfdy[indx[20], indx[68]] = -(0)
+ dfdy[indx[21], indx[0]] = -(-k[133]*y[:,21] - k[210]*y[:,21] + k[557]*y[:,58])
+ dfdy[indx[21], indx[1]] = -(-k[124]*y[:,21] + k[132]*y[:,17])
+ dfdy[indx[21], indx[2]] = -(k[134]*y[:,17])
+ dfdy[indx[21], indx[3]] = -(M*k[695]*y[:,17] - M*k[707]*y[:,21] + k[123]*y[:,20] - k[131]*y[:,21] + k[193]*y[:,24] + k[830]*y[:,17] - k[834]*y[:,21])
+ dfdy[indx[21], indx[4]] = -(k[125]*y[:,14] + k[209]*y[:,20] + k[545]*y[:,56] + k[597]*y[:,13])
dfdy[indx[21], indx[5]] = -(k[135]*y[:,18])
dfdy[indx[21], indx[6]] = -(0)
- dfdy[indx[21], indx[7]] = -(-k[175]*y[:,21])
- dfdy[indx[21], indx[8]] = -(-k[126]*y[:,21] + k[127]*y[:,20] + k[176]*y[:,17] - k[187]*y[:,21] - k[194]*y[:,21] - k[782]*y[:,21])
+ dfdy[indx[21], indx[7]] = -(-k[175]*y[:,21] - k[598]*y[:,21])
+ dfdy[indx[21], indx[8]] = -(-k[126]*y[:,21] + k[127]*y[:,20] + k[176]*y[:,17] - k[187]*y[:,21] - k[194]*y[:,21] - k[844]*y[:,21])
dfdy[indx[21], indx[9]] = -(-k[128]*y[:,21] + k[188]*y[:,17])
dfdy[indx[21], indx[10]] = -(0)
dfdy[indx[21], indx[11]] = -(k[158]*y[:,17])
- dfdy[indx[21], indx[12]] = -(-k[157]*y[:,21] + k[391]*y[:,25])
- dfdy[indx[21], indx[13]] = -(k[393]*y[:,25] - k[558]*y[:,21])
+ dfdy[indx[21], indx[12]] = -(-k[157]*y[:,21] + k[389]*y[:,25])
+ dfdy[indx[21], indx[13]] = -(k[391]*y[:,25] - k[558]*y[:,21] + k[597]*y[:,4])
dfdy[indx[21], indx[14]] = -(k[125]*y[:,4])
dfdy[indx[21], indx[15]] = -(0)
dfdy[indx[21], indx[16]] = -(0)
- dfdy[indx[21], indx[17]] = -(M*k[645]*y[:,0] + k[132]*y[:,3] + k[134]*y[:,1] - k[136]*y[:,21] + k[158]*y[:,11] + k[176]*y[:,8] + k[188]*y[:,9] + 2*k[212]*y[:,20] - k[392]*y[:,21] + k[458]*y[:,41] + k[474]*y[:,42] + k[520]*y[:,52] + k[768]*y[:,0])
+ dfdy[indx[21], indx[17]] = -(M*k[695]*y[:,3] + k[132]*y[:,1] + k[134]*y[:,2] - k[136]*y[:,21] + k[158]*y[:,11] + k[176]*y[:,8] + k[188]*y[:,9] + 2*k[212]*y[:,20] - k[390]*y[:,21] + k[456]*y[:,40] + k[472]*y[:,42] + k[518]*y[:,52] + k[830]*y[:,3])
dfdy[indx[21], indx[18]] = -(k[135]*y[:,5])
dfdy[indx[21], indx[19]] = -(0)
- dfdy[indx[21], indx[20]] = -(M*k[658] + k[123]*y[:,0] + k[127]*y[:,8] + k[209]*y[:,4] + 2*k[212]*y[:,17] - k[394]*y[:,21] + k[771])
- dfdy[indx[21], indx[21]] = -(-M*k[646] - M*k[657]*y[:,0] - k[124]*y[:,3] - k[126]*y[:,8] - k[128]*y[:,9] - k[131]*y[:,0] - k[133]*y[:,2] - k[136]*y[:,17] - k[157]*y[:,12] - k[175]*y[:,7] - k[187]*y[:,8] - k[194]*y[:,8] - k[210]*y[:,2] - 4*k[211]*y[:,21] - k[392]*y[:,17] - k[394]*y[:,20] - k[457]*y[:,32] - k[473]*y[:,51] - k[519]*y[:,25] - k[558]*y[:,13] - k[767] - k[772]*y[:,0] - k[782]*y[:,8])
+ dfdy[indx[21], indx[20]] = -(M*k[708] + k[123]*y[:,3] + k[127]*y[:,8] + k[209]*y[:,4] + 2*k[212]*y[:,17] - k[392]*y[:,21] + k[605]*y[:,25] + k[833])
+ dfdy[indx[21], indx[21]] = -(-M*k[696] - M*k[707]*y[:,3] - k[124]*y[:,1] - k[126]*y[:,8] - k[128]*y[:,9] - k[131]*y[:,3] - k[133]*y[:,0] - k[136]*y[:,17] - k[157]*y[:,12] - k[175]*y[:,7] - k[187]*y[:,8] - k[194]*y[:,8] - k[210]*y[:,0] - 4*k[211]*y[:,21] - k[390]*y[:,17] - k[392]*y[:,20] - k[455]*y[:,32] - k[471]*y[:,51] - k[517]*y[:,25] - k[546]*y[:,31] - k[558]*y[:,13] - k[598]*y[:,7] - k[606]*y[:,52] - k[829] - k[834]*y[:,3] - k[844]*y[:,8])
dfdy[indx[21], indx[22]] = -(0)
dfdy[indx[21], indx[23]] = -(0)
- dfdy[indx[21], indx[24]] = -(k[193]*y[:,0])
- dfdy[indx[21], indx[25]] = -(k[391]*y[:,12] + k[393]*y[:,13] - k[519]*y[:,21])
+ dfdy[indx[21], indx[24]] = -(k[193]*y[:,3])
+ dfdy[indx[21], indx[25]] = -(k[389]*y[:,12] + k[391]*y[:,13] - k[517]*y[:,21] + k[605]*y[:,20])
dfdy[indx[21], indx[26]] = -(0)
dfdy[indx[21], indx[27]] = -(0)
dfdy[indx[21], indx[28]] = -(0)
dfdy[indx[21], indx[29]] = -(0)
dfdy[indx[21], indx[30]] = -(0)
- dfdy[indx[21], indx[31]] = -(0)
- dfdy[indx[21], indx[32]] = -(-k[457]*y[:,21])
+ dfdy[indx[21], indx[31]] = -(-k[546]*y[:,21])
+ dfdy[indx[21], indx[32]] = -(-k[455]*y[:,21])
dfdy[indx[21], indx[33]] = -(0)
dfdy[indx[21], indx[34]] = -(0)
dfdy[indx[21], indx[35]] = -(0)
@@ -8864,40 +9726,44 @@ def neg_symjac(y, M, k):
dfdy[indx[21], indx[37]] = -(0)
dfdy[indx[21], indx[38]] = -(0)
dfdy[indx[21], indx[39]] = -(0)
- dfdy[indx[21], indx[40]] = -(0)
- dfdy[indx[21], indx[41]] = -(k[458]*y[:,17])
- dfdy[indx[21], indx[42]] = -(k[474]*y[:,17])
+ dfdy[indx[21], indx[40]] = -(k[456]*y[:,17])
+ dfdy[indx[21], indx[41]] = -(0)
+ dfdy[indx[21], indx[42]] = -(k[472]*y[:,17])
dfdy[indx[21], indx[43]] = -(0)
dfdy[indx[21], indx[44]] = -(0)
dfdy[indx[21], indx[45]] = -(0)
dfdy[indx[21], indx[46]] = -(0)
dfdy[indx[21], indx[47]] = -(0)
dfdy[indx[21], indx[48]] = -(0)
- dfdy[indx[21], indx[49]] = -(k[781])
+ dfdy[indx[21], indx[49]] = -(k[843])
dfdy[indx[21], indx[50]] = -(0)
- dfdy[indx[21], indx[51]] = -(-k[473]*y[:,21])
- dfdy[indx[21], indx[52]] = -(k[520]*y[:,17])
+ dfdy[indx[21], indx[51]] = -(-k[471]*y[:,21])
+ dfdy[indx[21], indx[52]] = -(k[518]*y[:,17] - k[606]*y[:,21])
dfdy[indx[21], indx[53]] = -(0)
dfdy[indx[21], indx[54]] = -(0)
dfdy[indx[21], indx[55]] = -(0)
- dfdy[indx[21], indx[56]] = -(0)
+ dfdy[indx[21], indx[56]] = -(k[545]*y[:,4])
dfdy[indx[21], indx[57]] = -(0)
- dfdy[indx[21], indx[58]] = -(k[557]*y[:,2])
+ dfdy[indx[21], indx[58]] = -(k[557]*y[:,0])
dfdy[indx[21], indx[59]] = -(0)
dfdy[indx[21], indx[60]] = -(0)
dfdy[indx[21], indx[61]] = -(0)
dfdy[indx[21], indx[62]] = -(0)
dfdy[indx[21], indx[63]] = -(0)
dfdy[indx[21], indx[64]] = -(0)
- dfdy[indx[22], indx[0]] = -(M*k[650]*y[:,20] + k[143]*y[:,23] - k[199]*y[:,22] - k[778]*y[:,22])
- dfdy[indx[22], indx[1]] = -(k[142]*y[:,20])
- dfdy[indx[22], indx[2]] = -(k[140]*y[:,20] - k[141]*y[:,22])
- dfdy[indx[22], indx[3]] = -(-k[144]*y[:,22] + k[200]*y[:,20])
- dfdy[indx[22], indx[4]] = -(-k[139]*y[:,22] - k[383]*y[:,22])
+ dfdy[indx[21], indx[65]] = -(0)
+ dfdy[indx[21], indx[66]] = -(0)
+ dfdy[indx[21], indx[67]] = -(0)
+ dfdy[indx[21], indx[68]] = -(0)
+ dfdy[indx[22], indx[0]] = -(k[140]*y[:,20] - k[141]*y[:,22] + k[599]*y[:,23])
+ dfdy[indx[22], indx[1]] = -(-k[144]*y[:,22] + k[200]*y[:,20])
+ dfdy[indx[22], indx[2]] = -(k[142]*y[:,20] - k[600]*y[:,22])
+ dfdy[indx[22], indx[3]] = -(M*k[700]*y[:,20] + k[143]*y[:,23] - k[199]*y[:,22] - k[840]*y[:,22])
+ dfdy[indx[22], indx[4]] = -(-k[139]*y[:,22] - k[381]*y[:,22])
dfdy[indx[22], indx[5]] = -(0)
dfdy[indx[22], indx[6]] = -(0)
dfdy[indx[22], indx[7]] = -(-k[181]*y[:,22] + k[183]*y[:,23])
- dfdy[indx[22], indx[8]] = -(k[154]*y[:,18] + k[182]*y[:,20] - k[184]*y[:,22] - k[189]*y[:,22] + k[191]*y[:,23] + k[384]*y[:,25] + k[415]*y[:,43])
+ dfdy[indx[22], indx[8]] = -(k[154]*y[:,18] + k[182]*y[:,20] - k[184]*y[:,22] - k[189]*y[:,22] + k[191]*y[:,23] + k[382]*y[:,25] + k[413]*y[:,43])
dfdy[indx[22], indx[9]] = -(k[190]*y[:,20] - k[192]*y[:,22])
dfdy[indx[22], indx[10]] = -(0)
dfdy[indx[22], indx[11]] = -(k[162]*y[:,20] - k[166]*y[:,22])
@@ -8909,19 +9775,19 @@ def neg_symjac(y, M, k):
dfdy[indx[22], indx[17]] = -(-k[153]*y[:,22])
dfdy[indx[22], indx[18]] = -(k[154]*y[:,8])
dfdy[indx[22], indx[19]] = -(-k[213]*y[:,22])
- dfdy[indx[22], indx[20]] = -(M*k[650]*y[:,0] + k[140]*y[:,2] + k[142]*y[:,1] + k[162]*y[:,11] + k[182]*y[:,8] + k[190]*y[:,9] + k[200]*y[:,3] + k[214]*y[:,23] + 2*k[216]*y[:,23] + k[456]*y[:,41])
+ dfdy[indx[22], indx[20]] = -(M*k[700]*y[:,3] + k[140]*y[:,0] + k[142]*y[:,2] + k[162]*y[:,11] + k[182]*y[:,8] + k[190]*y[:,9] + k[200]*y[:,1] + k[214]*y[:,23] + 2*k[216]*y[:,23] + k[454]*y[:,40] + k[610]*y[:,52])
dfdy[indx[22], indx[21]] = -(0)
- dfdy[indx[22], indx[22]] = -(-M*k[649] - k[139]*y[:,4] - k[141]*y[:,2] - k[144]*y[:,3] - k[153]*y[:,17] - k[161]*y[:,12] - k[166]*y[:,11] - k[181]*y[:,7] - k[184]*y[:,8] - k[189]*y[:,8] - k[192]*y[:,9] - k[199]*y[:,0] - k[213]*y[:,19] - 4*k[215]*y[:,22] - k[383]*y[:,4] - k[416]*y[:,32] - k[455]*y[:,32] - k[778]*y[:,0])
- dfdy[indx[22], indx[23]] = -(k[143]*y[:,0] + k[165]*y[:,12] + k[183]*y[:,7] + k[191]*y[:,8] + k[214]*y[:,20] + 2*k[216]*y[:,20] + k[777])
+ dfdy[indx[22], indx[22]] = -(-M*k[699] - k[139]*y[:,4] - k[141]*y[:,0] - k[144]*y[:,1] - k[153]*y[:,17] - k[161]*y[:,12] - k[166]*y[:,11] - k[181]*y[:,7] - k[184]*y[:,8] - k[189]*y[:,8] - k[192]*y[:,9] - k[199]*y[:,3] - k[213]*y[:,19] - 4*k[215]*y[:,22] - k[381]*y[:,4] - k[414]*y[:,32] - k[453]*y[:,32] - k[600]*y[:,2] - k[609]*y[:,25] - k[840]*y[:,3])
+ dfdy[indx[22], indx[23]] = -(k[143]*y[:,3] + k[165]*y[:,12] + k[183]*y[:,7] + k[191]*y[:,8] + k[214]*y[:,20] + 2*k[216]*y[:,20] + k[599]*y[:,0] + k[839])
dfdy[indx[22], indx[24]] = -(0)
- dfdy[indx[22], indx[25]] = -(k[384]*y[:,8])
+ dfdy[indx[22], indx[25]] = -(k[382]*y[:,8] - k[609]*y[:,22])
dfdy[indx[22], indx[26]] = -(0)
dfdy[indx[22], indx[27]] = -(0)
dfdy[indx[22], indx[28]] = -(0)
dfdy[indx[22], indx[29]] = -(0)
dfdy[indx[22], indx[30]] = -(0)
dfdy[indx[22], indx[31]] = -(0)
- dfdy[indx[22], indx[32]] = -(-k[416]*y[:,22] - k[455]*y[:,22])
+ dfdy[indx[22], indx[32]] = -(-k[414]*y[:,22] - k[453]*y[:,22])
dfdy[indx[22], indx[33]] = -(0)
dfdy[indx[22], indx[34]] = -(0)
dfdy[indx[22], indx[35]] = -(0)
@@ -8929,10 +9795,10 @@ def neg_symjac(y, M, k):
dfdy[indx[22], indx[37]] = -(0)
dfdy[indx[22], indx[38]] = -(0)
dfdy[indx[22], indx[39]] = -(0)
- dfdy[indx[22], indx[40]] = -(0)
- dfdy[indx[22], indx[41]] = -(k[456]*y[:,20])
+ dfdy[indx[22], indx[40]] = -(k[454]*y[:,20])
+ dfdy[indx[22], indx[41]] = -(0)
dfdy[indx[22], indx[42]] = -(0)
- dfdy[indx[22], indx[43]] = -(k[415]*y[:,8])
+ dfdy[indx[22], indx[43]] = -(k[413]*y[:,8])
dfdy[indx[22], indx[44]] = -(0)
dfdy[indx[22], indx[45]] = -(0)
dfdy[indx[22], indx[46]] = -(0)
@@ -8941,7 +9807,7 @@ def neg_symjac(y, M, k):
dfdy[indx[22], indx[49]] = -(0)
dfdy[indx[22], indx[50]] = -(0)
dfdy[indx[22], indx[51]] = -(0)
- dfdy[indx[22], indx[52]] = -(0)
+ dfdy[indx[22], indx[52]] = -(k[610]*y[:,20])
dfdy[indx[22], indx[53]] = -(0)
dfdy[indx[22], indx[54]] = -(0)
dfdy[indx[22], indx[55]] = -(0)
@@ -8954,15 +9820,19 @@ def neg_symjac(y, M, k):
dfdy[indx[22], indx[62]] = -(0)
dfdy[indx[22], indx[63]] = -(0)
dfdy[indx[22], indx[64]] = -(0)
- dfdy[indx[23], indx[0]] = -(M*k[651]*y[:,19] - k[143]*y[:,23] - k[145]*y[:,23] - k[155]*y[:,23] + k[778]*y[:,22])
- dfdy[indx[23], indx[1]] = -(k[146]*y[:,8])
- dfdy[indx[23], indx[2]] = -(M*k[719]*y[:,8] + k[774]*y[:,8])
- dfdy[indx[23], indx[3]] = -(k[144]*y[:,22] + k[156]*y[:,19] + k[776]*y[:,20])
+ dfdy[indx[22], indx[65]] = -(0)
+ dfdy[indx[22], indx[66]] = -(0)
+ dfdy[indx[22], indx[67]] = -(0)
+ dfdy[indx[22], indx[68]] = -(0)
+ dfdy[indx[23], indx[0]] = -(M*k[781]*y[:,8] - k[599]*y[:,23] - k[601]*y[:,23] + k[836]*y[:,8])
+ dfdy[indx[23], indx[1]] = -(k[144]*y[:,22] + k[156]*y[:,19] + k[838]*y[:,20])
+ dfdy[indx[23], indx[2]] = -(k[146]*y[:,8] + k[600]*y[:,22] + k[602]*y[:,19])
+ dfdy[indx[23], indx[3]] = -(M*k[701]*y[:,19] - k[143]*y[:,23] - k[145]*y[:,23] - k[155]*y[:,23] + k[840]*y[:,22])
dfdy[indx[23], indx[4]] = -(0)
dfdy[indx[23], indx[5]] = -(0)
dfdy[indx[23], indx[6]] = -(0)
dfdy[indx[23], indx[7]] = -(-k[183]*y[:,23] - k[185]*y[:,23])
- dfdy[indx[23], indx[8]] = -(M*k[719]*y[:,2] + k[146]*y[:,1] + k[184]*y[:,22] + k[186]*y[:,19] - k[191]*y[:,23] + k[774]*y[:,2])
+ dfdy[indx[23], indx[8]] = -(M*k[781]*y[:,0] + k[146]*y[:,2] + k[184]*y[:,22] + k[186]*y[:,19] - k[191]*y[:,23] + k[836]*y[:,0])
dfdy[indx[23], indx[9]] = -(k[192]*y[:,22])
dfdy[indx[23], indx[10]] = -(0)
dfdy[indx[23], indx[11]] = -(k[164]*y[:,19] + k[166]*y[:,22])
@@ -8973,11 +9843,11 @@ def neg_symjac(y, M, k):
dfdy[indx[23], indx[16]] = -(0)
dfdy[indx[23], indx[17]] = -(0)
dfdy[indx[23], indx[18]] = -(0)
- dfdy[indx[23], indx[19]] = -(M*k[651]*y[:,0] + k[156]*y[:,3] + k[164]*y[:,11] + k[186]*y[:,8] + k[213]*y[:,22])
- dfdy[indx[23], indx[20]] = -(-k[214]*y[:,23] - k[216]*y[:,23] + k[776]*y[:,3])
+ dfdy[indx[23], indx[19]] = -(M*k[701]*y[:,3] + k[156]*y[:,1] + k[164]*y[:,11] + k[186]*y[:,8] + k[213]*y[:,22] + k[602]*y[:,2])
+ dfdy[indx[23], indx[20]] = -(-k[214]*y[:,23] - k[216]*y[:,23] + k[838]*y[:,1])
dfdy[indx[23], indx[21]] = -(0)
- dfdy[indx[23], indx[22]] = -(k[144]*y[:,3] + k[166]*y[:,11] + k[184]*y[:,8] + k[192]*y[:,9] + k[213]*y[:,19] + 2*k[215]*y[:,22] + k[778]*y[:,0])
- dfdy[indx[23], indx[23]] = -(-M*k[652] - M*k[720] - k[143]*y[:,0] - k[145]*y[:,0] - k[155]*y[:,0] - k[163]*y[:,12] - k[165]*y[:,12] - k[183]*y[:,7] - k[185]*y[:,7] - k[191]*y[:,8] - k[214]*y[:,20] - k[216]*y[:,20] - k[773] - k[775] - k[777])
+ dfdy[indx[23], indx[22]] = -(k[144]*y[:,1] + k[166]*y[:,11] + k[184]*y[:,8] + k[192]*y[:,9] + k[213]*y[:,19] + 2*k[215]*y[:,22] + k[600]*y[:,2] + k[840]*y[:,3])
+ dfdy[indx[23], indx[23]] = -(-M*k[702] - M*k[782] - k[143]*y[:,3] - k[145]*y[:,3] - k[155]*y[:,3] - k[163]*y[:,12] - k[165]*y[:,12] - k[183]*y[:,7] - k[185]*y[:,7] - k[191]*y[:,8] - k[214]*y[:,20] - k[216]*y[:,20] - k[599]*y[:,0] - k[601]*y[:,0] - k[835] - k[837] - k[839])
dfdy[indx[23], indx[24]] = -(0)
dfdy[indx[23], indx[25]] = -(0)
dfdy[indx[23], indx[26]] = -(0)
@@ -9019,31 +9889,35 @@ def neg_symjac(y, M, k):
dfdy[indx[23], indx[62]] = -(0)
dfdy[indx[23], indx[63]] = -(0)
dfdy[indx[23], indx[64]] = -(0)
- dfdy[indx[24], indx[0]] = -(-k[193]*y[:,24] + k[445]*y[:,49])
- dfdy[indx[24], indx[1]] = -(0)
- dfdy[indx[24], indx[2]] = -(M*k[653]*y[:,11])
- dfdy[indx[24], indx[3]] = -(-k[446]*y[:,24])
+ dfdy[indx[23], indx[65]] = -(0)
+ dfdy[indx[23], indx[66]] = -(0)
+ dfdy[indx[23], indx[67]] = -(0)
+ dfdy[indx[23], indx[68]] = -(0)
+ dfdy[indx[24], indx[0]] = -(M*k[703]*y[:,11])
+ dfdy[indx[24], indx[1]] = -(-k[444]*y[:,24])
+ dfdy[indx[24], indx[2]] = -(0)
+ dfdy[indx[24], indx[3]] = -(-k[193]*y[:,24] + k[443]*y[:,49])
dfdy[indx[24], indx[4]] = -(0)
dfdy[indx[24], indx[5]] = -(0)
dfdy[indx[24], indx[6]] = -(0)
dfdy[indx[24], indx[7]] = -(0)
- dfdy[indx[24], indx[8]] = -(M*k[655]*y[:,17] + k[194]*y[:,21] - k[195]*y[:,24])
+ dfdy[indx[24], indx[8]] = -(M*k[705]*y[:,17] + k[194]*y[:,21] - k[195]*y[:,24])
dfdy[indx[24], indx[9]] = -(0)
dfdy[indx[24], indx[10]] = -(0)
- dfdy[indx[24], indx[11]] = -(M*k[653]*y[:,2])
+ dfdy[indx[24], indx[11]] = -(M*k[703]*y[:,0])
dfdy[indx[24], indx[12]] = -(0)
dfdy[indx[24], indx[13]] = -(0)
dfdy[indx[24], indx[14]] = -(0)
dfdy[indx[24], indx[15]] = -(0)
dfdy[indx[24], indx[16]] = -(k[196]*y[:,17])
- dfdy[indx[24], indx[17]] = -(M*k[655]*y[:,8] + k[196]*y[:,16])
+ dfdy[indx[24], indx[17]] = -(M*k[705]*y[:,8] + k[196]*y[:,16])
dfdy[indx[24], indx[18]] = -(0)
dfdy[indx[24], indx[19]] = -(0)
dfdy[indx[24], indx[20]] = -(0)
dfdy[indx[24], indx[21]] = -(k[194]*y[:,8])
dfdy[indx[24], indx[22]] = -(0)
dfdy[indx[24], indx[23]] = -(0)
- dfdy[indx[24], indx[24]] = -(-M*k[654] - M*k[656] - k[193]*y[:,0] - k[195]*y[:,8] - k[446]*y[:,3])
+ dfdy[indx[24], indx[24]] = -(-M*k[704] - M*k[706] - k[193]*y[:,3] - k[195]*y[:,8] - k[444]*y[:,1])
dfdy[indx[24], indx[25]] = -(0)
dfdy[indx[24], indx[26]] = -(0)
dfdy[indx[24], indx[27]] = -(0)
@@ -9068,7 +9942,7 @@ def neg_symjac(y, M, k):
dfdy[indx[24], indx[46]] = -(0)
dfdy[indx[24], indx[47]] = -(0)
dfdy[indx[24], indx[48]] = -(0)
- dfdy[indx[24], indx[49]] = -(k[445]*y[:,0])
+ dfdy[indx[24], indx[49]] = -(k[443]*y[:,3])
dfdy[indx[24], indx[50]] = -(0)
dfdy[indx[24], indx[51]] = -(0)
dfdy[indx[24], indx[52]] = -(0)
@@ -9084,51 +9958,55 @@ def neg_symjac(y, M, k):
dfdy[indx[24], indx[62]] = -(0)
dfdy[indx[24], indx[63]] = -(0)
dfdy[indx[24], indx[64]] = -(0)
- dfdy[indx[25], indx[0]] = -(-M*k[695]*y[:,25] - k[198]*y[:,25] + k[501]*y[:,52])
- dfdy[indx[25], indx[1]] = -(k[388]*y[:,17] - k[522]*y[:,25])
- dfdy[indx[25], indx[2]] = -(k[197]*y[:,4] + k[390]*y[:,20] + k[398]*y[:,32] + k[402]*y[:,41] - k[514]*y[:,25] + k[521]*y[:,52])
- dfdy[indx[25], indx[3]] = -(-k[502]*y[:,25])
- dfdy[indx[25], indx[4]] = -(2*M*k[713]*y[:,4] + k[197]*y[:,2] + k[383]*y[:,22] + k[386]*y[:,17] + k[396]*y[:,32] + k[400]*y[:,41] + k[403]*y[:,43] + k[405]*y[:,44] + k[513]*y[:,52] + 2*k[804]*y[:,4] + k[806]*y[:,60])
+ dfdy[indx[24], indx[65]] = -(0)
+ dfdy[indx[24], indx[66]] = -(0)
+ dfdy[indx[24], indx[67]] = -(0)
+ dfdy[indx[24], indx[68]] = -(0)
+ dfdy[indx[25], indx[0]] = -(k[197]*y[:,4] + k[388]*y[:,20] + k[396]*y[:,32] + k[400]*y[:,40] - k[512]*y[:,25] + k[519]*y[:,52])
+ dfdy[indx[25], indx[1]] = -(-k[500]*y[:,25])
+ dfdy[indx[25], indx[2]] = -(k[386]*y[:,17] - k[520]*y[:,25])
+ dfdy[indx[25], indx[3]] = -(-M*k[745]*y[:,25] - k[198]*y[:,25] + k[499]*y[:,52])
+ dfdy[indx[25], indx[4]] = -(2*M*k[775]*y[:,4] + k[197]*y[:,0] + k[381]*y[:,22] + k[384]*y[:,17] + k[394]*y[:,32] + k[398]*y[:,40] + k[401]*y[:,43] + k[403]*y[:,44] + k[511]*y[:,52] + k[650]*y[:,32] + 2*k[866]*y[:,4] + k[868]*y[:,65])
dfdy[indx[25], indx[5]] = -(0)
- dfdy[indx[25], indx[6]] = -(-k[385]*y[:,25])
- dfdy[indx[25], indx[7]] = -(-k[387]*y[:,25])
- dfdy[indx[25], indx[8]] = -(-k[384]*y[:,25] - k[389]*y[:,25] + k[516]*y[:,52])
- dfdy[indx[25], indx[9]] = -(-k[515]*y[:,25])
+ dfdy[indx[25], indx[6]] = -(-k[383]*y[:,25])
+ dfdy[indx[25], indx[7]] = -(-k[385]*y[:,25])
+ dfdy[indx[25], indx[8]] = -(-k[382]*y[:,25] - k[387]*y[:,25] + k[513]*y[:,52])
+ dfdy[indx[25], indx[9]] = -(-k[514]*y[:,25])
dfdy[indx[25], indx[10]] = -(0)
dfdy[indx[25], indx[11]] = -(0)
- dfdy[indx[25], indx[12]] = -(-k[391]*y[:,25])
- dfdy[indx[25], indx[13]] = -(-k[393]*y[:,25])
+ dfdy[indx[25], indx[12]] = -(-k[389]*y[:,25])
+ dfdy[indx[25], indx[13]] = -(-k[391]*y[:,25])
dfdy[indx[25], indx[14]] = -(0)
- dfdy[indx[25], indx[15]] = -(k[518]*y[:,52])
- dfdy[indx[25], indx[16]] = -(-k[517]*y[:,25])
- dfdy[indx[25], indx[17]] = -(k[386]*y[:,4] + k[388]*y[:,1] + k[392]*y[:,21] + k[520]*y[:,52])
+ dfdy[indx[25], indx[15]] = -(k[515]*y[:,52])
+ dfdy[indx[25], indx[16]] = -(-k[516]*y[:,25])
+ dfdy[indx[25], indx[17]] = -(k[384]*y[:,4] + k[386]*y[:,2] + k[390]*y[:,21] + k[518]*y[:,52])
dfdy[indx[25], indx[18]] = -(0)
dfdy[indx[25], indx[19]] = -(0)
- dfdy[indx[25], indx[20]] = -(k[390]*y[:,2] + k[394]*y[:,21])
- dfdy[indx[25], indx[21]] = -(k[392]*y[:,17] + k[394]*y[:,20] - k[519]*y[:,25])
- dfdy[indx[25], indx[22]] = -(k[383]*y[:,4])
+ dfdy[indx[25], indx[20]] = -(k[388]*y[:,0] + k[392]*y[:,21] - k[605]*y[:,25] + k[610]*y[:,52])
+ dfdy[indx[25], indx[21]] = -(k[390]*y[:,17] + k[392]*y[:,20] - k[517]*y[:,25] + k[606]*y[:,52])
+ dfdy[indx[25], indx[22]] = -(k[381]*y[:,4] - k[609]*y[:,25])
dfdy[indx[25], indx[23]] = -(0)
dfdy[indx[25], indx[24]] = -(0)
- dfdy[indx[25], indx[25]] = -(-M*k[692]*y[:,53] - M*k[695]*y[:,0] - M*k[714] - k[198]*y[:,0] - k[384]*y[:,8] - k[385]*y[:,6] - k[387]*y[:,7] - k[389]*y[:,8] - k[391]*y[:,12] - k[393]*y[:,13] - k[395]*y[:,28] - k[397]*y[:,29] - k[399]*y[:,29] - k[401]*y[:,33] - k[404]*y[:,32] - k[406]*y[:,34] - k[502]*y[:,3] - k[514]*y[:,2] - k[515]*y[:,9] - k[517]*y[:,16] - k[519]*y[:,21] - k[522]*y[:,1] - k[550]*y[:,35] - k[588]*y[:,32] - k[803] - k[805])
+ dfdy[indx[25], indx[25]] = -(-M*k[742]*y[:,53] - M*k[745]*y[:,3] - M*k[776] - k[198]*y[:,3] - k[382]*y[:,8] - k[383]*y[:,6] - k[385]*y[:,7] - k[387]*y[:,8] - k[389]*y[:,12] - k[391]*y[:,13] - k[393]*y[:,28] - k[395]*y[:,29] - k[397]*y[:,29] - k[399]*y[:,33] - k[402]*y[:,32] - k[404]*y[:,34] - k[500]*y[:,1] - k[512]*y[:,0] - k[514]*y[:,9] - k[516]*y[:,16] - k[517]*y[:,21] - k[520]*y[:,2] - k[550]*y[:,35] - k[605]*y[:,20] - k[609]*y[:,22] - k[614]*y[:,53] - k[630]*y[:,32] - k[649]*y[:,67] - k[865] - k[867])
dfdy[indx[25], indx[26]] = -(0)
dfdy[indx[25], indx[27]] = -(0)
- dfdy[indx[25], indx[28]] = -(-k[395]*y[:,25])
- dfdy[indx[25], indx[29]] = -(-k[397]*y[:,25] - k[399]*y[:,25])
+ dfdy[indx[25], indx[28]] = -(-k[393]*y[:,25])
+ dfdy[indx[25], indx[29]] = -(-k[395]*y[:,25] - k[397]*y[:,25])
dfdy[indx[25], indx[30]] = -(0)
dfdy[indx[25], indx[31]] = -(0)
- dfdy[indx[25], indx[32]] = -(k[396]*y[:,4] + k[398]*y[:,2] - k[404]*y[:,25] - k[588]*y[:,25])
- dfdy[indx[25], indx[33]] = -(-k[401]*y[:,25] + k[549]*y[:,52])
- dfdy[indx[25], indx[34]] = -(-k[406]*y[:,25])
+ dfdy[indx[25], indx[32]] = -(k[394]*y[:,4] + k[396]*y[:,0] - k[402]*y[:,25] - k[630]*y[:,25] + k[650]*y[:,4])
+ dfdy[indx[25], indx[33]] = -(-k[399]*y[:,25] + k[549]*y[:,52])
+ dfdy[indx[25], indx[34]] = -(-k[404]*y[:,25])
dfdy[indx[25], indx[35]] = -(-k[550]*y[:,25])
dfdy[indx[25], indx[36]] = -(0)
dfdy[indx[25], indx[37]] = -(0)
dfdy[indx[25], indx[38]] = -(0)
dfdy[indx[25], indx[39]] = -(0)
- dfdy[indx[25], indx[40]] = -(0)
- dfdy[indx[25], indx[41]] = -(k[400]*y[:,4] + k[402]*y[:,2])
+ dfdy[indx[25], indx[40]] = -(k[398]*y[:,4] + k[400]*y[:,0])
+ dfdy[indx[25], indx[41]] = -(0)
dfdy[indx[25], indx[42]] = -(0)
- dfdy[indx[25], indx[43]] = -(k[403]*y[:,4] + k[587]*y[:,60])
- dfdy[indx[25], indx[44]] = -(k[405]*y[:,4])
+ dfdy[indx[25], indx[43]] = -(k[401]*y[:,4] + k[629]*y[:,65])
+ dfdy[indx[25], indx[44]] = -(k[403]*y[:,4])
dfdy[indx[25], indx[45]] = -(0)
dfdy[indx[25], indx[46]] = -(0)
dfdy[indx[25], indx[47]] = -(0)
@@ -9136,23 +10014,27 @@ def neg_symjac(y, M, k):
dfdy[indx[25], indx[49]] = -(0)
dfdy[indx[25], indx[50]] = -(0)
dfdy[indx[25], indx[51]] = -(0)
- dfdy[indx[25], indx[52]] = -(2*M*k[691]*y[:,52] + M*k[696] + k[501]*y[:,0] + k[513]*y[:,4] + k[516]*y[:,8] + k[518]*y[:,15] + k[520]*y[:,17] + k[521]*y[:,2] + k[549]*y[:,33])
- dfdy[indx[25], indx[53]] = -(-M*k[692]*y[:,25])
+ dfdy[indx[25], indx[52]] = -(2*M*k[741]*y[:,52] + M*k[746] + k[499]*y[:,3] + k[511]*y[:,4] + k[513]*y[:,8] + k[515]*y[:,15] + k[518]*y[:,17] + k[519]*y[:,0] + k[549]*y[:,33] + k[606]*y[:,21] + k[610]*y[:,20] + 2*k[613]*y[:,52])
+ dfdy[indx[25], indx[53]] = -(-M*k[742]*y[:,25] - k[614]*y[:,25])
dfdy[indx[25], indx[54]] = -(0)
dfdy[indx[25], indx[55]] = -(0)
dfdy[indx[25], indx[56]] = -(0)
dfdy[indx[25], indx[57]] = -(0)
dfdy[indx[25], indx[58]] = -(0)
dfdy[indx[25], indx[59]] = -(0)
- dfdy[indx[25], indx[60]] = -(k[587]*y[:,43] + k[806]*y[:,4])
+ dfdy[indx[25], indx[60]] = -(0)
dfdy[indx[25], indx[61]] = -(0)
dfdy[indx[25], indx[62]] = -(0)
dfdy[indx[25], indx[63]] = -(0)
dfdy[indx[25], indx[64]] = -(0)
- dfdy[indx[26], indx[0]] = -(-k[201]*y[:,26] - k[204]*y[:,26])
+ dfdy[indx[25], indx[65]] = -(k[629]*y[:,43] + k[868]*y[:,4])
+ dfdy[indx[25], indx[66]] = -(0)
+ dfdy[indx[25], indx[67]] = -(-k[649]*y[:,25])
+ dfdy[indx[25], indx[68]] = -(0)
+ dfdy[indx[26], indx[0]] = -(0)
dfdy[indx[26], indx[1]] = -(0)
dfdy[indx[26], indx[2]] = -(0)
- dfdy[indx[26], indx[3]] = -(0)
+ dfdy[indx[26], indx[3]] = -(-k[201]*y[:,26] - k[204]*y[:,26])
dfdy[indx[26], indx[4]] = -(k[203]*y[:,13])
dfdy[indx[26], indx[5]] = -(0)
dfdy[indx[26], indx[6]] = -(0)
@@ -9175,7 +10057,7 @@ def neg_symjac(y, M, k):
dfdy[indx[26], indx[23]] = -(0)
dfdy[indx[26], indx[24]] = -(0)
dfdy[indx[26], indx[25]] = -(0)
- dfdy[indx[26], indx[26]] = -(-k[201]*y[:,0] - k[204]*y[:,0])
+ dfdy[indx[26], indx[26]] = -(-k[201]*y[:,3] - k[204]*y[:,3])
dfdy[indx[26], indx[27]] = -(0)
dfdy[indx[26], indx[28]] = -(0)
dfdy[indx[26], indx[29]] = -(0)
@@ -9214,10 +10096,14 @@ def neg_symjac(y, M, k):
dfdy[indx[26], indx[62]] = -(0)
dfdy[indx[26], indx[63]] = -(0)
dfdy[indx[26], indx[64]] = -(0)
- dfdy[indx[27], indx[0]] = -(-k[206]*y[:,27] - k[207]*y[:,27])
+ dfdy[indx[26], indx[65]] = -(0)
+ dfdy[indx[26], indx[66]] = -(0)
+ dfdy[indx[26], indx[67]] = -(0)
+ dfdy[indx[26], indx[68]] = -(0)
+ dfdy[indx[27], indx[0]] = -(0)
dfdy[indx[27], indx[1]] = -(0)
dfdy[indx[27], indx[2]] = -(0)
- dfdy[indx[27], indx[3]] = -(0)
+ dfdy[indx[27], indx[3]] = -(-k[206]*y[:,27] - k[207]*y[:,27])
dfdy[indx[27], indx[4]] = -(k[205]*y[:,11])
dfdy[indx[27], indx[5]] = -(0)
dfdy[indx[27], indx[6]] = -(0)
@@ -9241,7 +10127,7 @@ def neg_symjac(y, M, k):
dfdy[indx[27], indx[24]] = -(0)
dfdy[indx[27], indx[25]] = -(0)
dfdy[indx[27], indx[26]] = -(0)
- dfdy[indx[27], indx[27]] = -(-k[206]*y[:,0] - k[207]*y[:,0])
+ dfdy[indx[27], indx[27]] = -(-k[206]*y[:,3] - k[207]*y[:,3])
dfdy[indx[27], indx[28]] = -(0)
dfdy[indx[27], indx[29]] = -(0)
dfdy[indx[27], indx[30]] = -(0)
@@ -9279,20 +10165,24 @@ def neg_symjac(y, M, k):
dfdy[indx[27], indx[62]] = -(0)
dfdy[indx[27], indx[63]] = -(0)
dfdy[indx[27], indx[64]] = -(0)
- dfdy[indx[28], indx[0]] = -(-M*k[708]*y[:,28] + k[220]*y[:,30] + k[224]*y[:,31] + k[227]*y[:,32] + k[229]*y[:,29] + k[282]*y[:,34] + k[370]*y[:,36] + k[546]*y[:,56] + k[564]*y[:,54])
- dfdy[indx[28], indx[1]] = -(-k[264]*y[:,28])
- dfdy[indx[28], indx[2]] = -(-k[228]*y[:,28] - k[258]*y[:,28] + k[263]*y[:,29])
- dfdy[indx[28], indx[3]] = -(-M*k[665]*y[:,28] - k[230]*y[:,28] + k[372]*y[:,31] + k[552]*y[:,38] + k[562]*y[:,54])
- dfdy[indx[28], indx[4]] = -(-M*k[709]*y[:,28] + k[257]*y[:,29] + k[275]*y[:,30] + k[280]*y[:,34] + k[396]*y[:,32] - k[792]*y[:,28])
+ dfdy[indx[27], indx[65]] = -(0)
+ dfdy[indx[27], indx[66]] = -(0)
+ dfdy[indx[27], indx[67]] = -(0)
+ dfdy[indx[27], indx[68]] = -(0)
+ dfdy[indx[28], indx[0]] = -(-k[227]*y[:,28] - k[258]*y[:,28] + k[263]*y[:,29])
+ dfdy[indx[28], indx[1]] = -(-M*k[715]*y[:,28] - k[230]*y[:,28] + k[370]*y[:,31] + k[552]*y[:,37] + k[562]*y[:,54])
+ dfdy[indx[28], indx[2]] = -(-k[264]*y[:,28])
+ dfdy[indx[28], indx[3]] = -(-M*k[772]*y[:,28] + k[220]*y[:,30] + k[224]*y[:,31] + k[228]*y[:,32] + k[229]*y[:,29] + k[282]*y[:,34] + k[368]*y[:,41] + k[544]*y[:,56] + k[564]*y[:,54])
+ dfdy[indx[28], indx[4]] = -(-M*k[773]*y[:,28] + k[257]*y[:,29] + k[275]*y[:,30] + k[280]*y[:,34] + k[394]*y[:,32] + k[608]*y[:,44] - k[854]*y[:,28])
dfdy[indx[28], indx[5]] = -(-k[217]*y[:,28] - k[219]*y[:,28] + k[222]*y[:,29])
dfdy[indx[28], indx[6]] = -(k[218]*y[:,29] + k[226]*y[:,30] + k[284]*y[:,34])
dfdy[indx[28], indx[7]] = -(-k[221]*y[:,28] - k[223]*y[:,28])
- dfdy[indx[28], indx[8]] = -(k[237]*y[:,29] - k[369]*y[:,28] - k[371]*y[:,28])
+ dfdy[indx[28], indx[8]] = -(k[237]*y[:,29] - k[367]*y[:,28] - k[369]*y[:,28])
dfdy[indx[28], indx[9]] = -(-k[238]*y[:,28])
dfdy[indx[28], indx[10]] = -(-k[225]*y[:,28])
dfdy[indx[28], indx[11]] = -(0)
dfdy[indx[28], indx[12]] = -(0)
- dfdy[indx[28], indx[13]] = -(-k[545]*y[:,28])
+ dfdy[indx[28], indx[13]] = -(-k[543]*y[:,28])
dfdy[indx[28], indx[14]] = -(0)
dfdy[indx[28], indx[15]] = -(0)
dfdy[indx[28], indx[16]] = -(0)
@@ -9304,26 +10194,26 @@ def neg_symjac(y, M, k):
dfdy[indx[28], indx[22]] = -(0)
dfdy[indx[28], indx[23]] = -(0)
dfdy[indx[28], indx[24]] = -(0)
- dfdy[indx[28], indx[25]] = -(-k[395]*y[:,28])
+ dfdy[indx[28], indx[25]] = -(-k[393]*y[:,28])
dfdy[indx[28], indx[26]] = -(0)
dfdy[indx[28], indx[27]] = -(0)
- dfdy[indx[28], indx[28]] = -(-M*k[665]*y[:,3] - 4*M*k[667]*y[:,28] - M*k[708]*y[:,0] - M*k[709]*y[:,4] - M*k[718] - k[217]*y[:,5] - k[219]*y[:,5] - k[221]*y[:,7] - k[223]*y[:,7] - k[225]*y[:,10] - k[228]*y[:,2] - k[230]*y[:,3] - k[238]*y[:,9] - k[258]*y[:,2] - k[264]*y[:,1] - k[276]*y[:,17] - k[277]*y[:,18] - k[279]*y[:,32] - k[281]*y[:,29] - k[283]*y[:,30] - k[369]*y[:,8] - k[371]*y[:,8] - k[395]*y[:,25] - k[492]*y[:,35] - k[545]*y[:,13] - k[551]*y[:,35] - k[561]*y[:,58] - k[563]*y[:,59] - 4*k[784]*y[:,28] - k[792]*y[:,4])
- dfdy[indx[28], indx[29]] = -(M*k[707] + k[218]*y[:,6] + k[222]*y[:,5] + k[229]*y[:,0] + k[237]*y[:,8] + k[257]*y[:,4] + k[263]*y[:,2] - k[281]*y[:,28] + k[491]*y[:,33])
- dfdy[indx[28], indx[30]] = -(k[220]*y[:,0] + k[226]*y[:,6] + k[275]*y[:,4] - k[283]*y[:,28])
- dfdy[indx[28], indx[31]] = -(k[224]*y[:,0] + k[372]*y[:,3])
- dfdy[indx[28], indx[32]] = -(M*k[710] + k[227]*y[:,0] + k[278]*y[:,17] - k[279]*y[:,28] + k[396]*y[:,4] + k[791])
- dfdy[indx[28], indx[33]] = -(M*k[666] + k[491]*y[:,29])
- dfdy[indx[28], indx[34]] = -(2*M*k[668] + k[280]*y[:,4] + k[282]*y[:,0] + k[284]*y[:,6] + 2*k[783])
- dfdy[indx[28], indx[35]] = -(-k[492]*y[:,28] - k[551]*y[:,28])
- dfdy[indx[28], indx[36]] = -(k[370]*y[:,0])
- dfdy[indx[28], indx[37]] = -(0)
- dfdy[indx[28], indx[38]] = -(k[552]*y[:,3])
+ dfdy[indx[28], indx[28]] = -(-M*k[715]*y[:,1] - 4*M*k[717]*y[:,28] - M*k[772]*y[:,3] - M*k[773]*y[:,4] - M*k[780] - k[217]*y[:,5] - k[219]*y[:,5] - k[221]*y[:,7] - k[223]*y[:,7] - k[225]*y[:,10] - k[227]*y[:,0] - k[230]*y[:,1] - k[238]*y[:,9] - k[258]*y[:,0] - k[264]*y[:,2] - k[276]*y[:,17] - k[277]*y[:,18] - k[279]*y[:,32] - k[281]*y[:,29] - k[283]*y[:,30] - k[367]*y[:,8] - k[369]*y[:,8] - k[393]*y[:,25] - k[490]*y[:,35] - k[543]*y[:,13] - k[551]*y[:,35] - k[561]*y[:,58] - k[563]*y[:,59] - k[607]*y[:,43] - 4*k[846]*y[:,28] - k[854]*y[:,4])
+ dfdy[indx[28], indx[29]] = -(M*k[771] + k[218]*y[:,6] + k[222]*y[:,5] + k[229]*y[:,3] + k[237]*y[:,8] + k[257]*y[:,4] + k[263]*y[:,0] - k[281]*y[:,28] + k[489]*y[:,33])
+ dfdy[indx[28], indx[30]] = -(k[220]*y[:,3] + k[226]*y[:,6] + k[275]*y[:,4] - k[283]*y[:,28])
+ dfdy[indx[28], indx[31]] = -(k[224]*y[:,3] + k[370]*y[:,1])
+ dfdy[indx[28], indx[32]] = -(M*k[774] + k[228]*y[:,3] + k[278]*y[:,17] - k[279]*y[:,28] + k[394]*y[:,4] + k[853])
+ dfdy[indx[28], indx[33]] = -(M*k[716] + k[489]*y[:,29])
+ dfdy[indx[28], indx[34]] = -(2*M*k[718] + k[280]*y[:,4] + k[282]*y[:,3] + k[284]*y[:,6] + 2*k[845])
+ dfdy[indx[28], indx[35]] = -(-k[490]*y[:,28] - k[551]*y[:,28])
+ dfdy[indx[28], indx[36]] = -(0)
+ dfdy[indx[28], indx[37]] = -(k[552]*y[:,1])
+ dfdy[indx[28], indx[38]] = -(0)
dfdy[indx[28], indx[39]] = -(0)
dfdy[indx[28], indx[40]] = -(0)
- dfdy[indx[28], indx[41]] = -(0)
+ dfdy[indx[28], indx[41]] = -(k[368]*y[:,3])
dfdy[indx[28], indx[42]] = -(0)
- dfdy[indx[28], indx[43]] = -(0)
- dfdy[indx[28], indx[44]] = -(0)
+ dfdy[indx[28], indx[43]] = -(-k[607]*y[:,28])
+ dfdy[indx[28], indx[44]] = -(k[608]*y[:,4])
dfdy[indx[28], indx[45]] = -(0)
dfdy[indx[28], indx[46]] = -(0)
dfdy[indx[28], indx[47]] = -(0)
@@ -9333,22 +10223,26 @@ def neg_symjac(y, M, k):
dfdy[indx[28], indx[51]] = -(0)
dfdy[indx[28], indx[52]] = -(0)
dfdy[indx[28], indx[53]] = -(0)
- dfdy[indx[28], indx[54]] = -(k[562]*y[:,3] + k[564]*y[:,0])
+ dfdy[indx[28], indx[54]] = -(k[562]*y[:,1] + k[564]*y[:,3])
dfdy[indx[28], indx[55]] = -(0)
- dfdy[indx[28], indx[56]] = -(k[546]*y[:,0])
+ dfdy[indx[28], indx[56]] = -(k[544]*y[:,3])
dfdy[indx[28], indx[57]] = -(0)
dfdy[indx[28], indx[58]] = -(-k[561]*y[:,28])
dfdy[indx[28], indx[59]] = -(-k[563]*y[:,28])
dfdy[indx[28], indx[60]] = -(0)
dfdy[indx[28], indx[61]] = -(0)
- dfdy[indx[28], indx[62]] = -(M*k[717])
+ dfdy[indx[28], indx[62]] = -(0)
dfdy[indx[28], indx[63]] = -(0)
dfdy[indx[28], indx[64]] = -(0)
- dfdy[indx[29], indx[0]] = -(M*k[708]*y[:,28] - k[229]*y[:,29] + k[231]*y[:,33] + k[260]*y[:,32] + k[282]*y[:,34] + k[302]*y[:,30] + k[326]*y[:,37] + k[410]*y[:,44] + k[448]*y[:,41] - k[600]*y[:,29] - 2*k[788]*y[:,0]*y[:,29])
- dfdy[indx[29], indx[1]] = -(k[264]*y[:,28] - k[274]*y[:,29] - k[496]*y[:,29] + k[601]*y[:,62])
- dfdy[indx[29], indx[2]] = -(k[258]*y[:,28] - k[263]*y[:,29] - k[271]*y[:,29] + k[273]*y[:,33] + k[296]*y[:,34] + k[398]*y[:,32] - k[447]*y[:,29] - k[602]*y[:,29])
- dfdy[indx[29], indx[3]] = -(k[230]*y[:,28] - k[232]*y[:,29] + 2*k[304]*y[:,34] + k[495]*y[:,41] + k[599]*y[:,62])
- dfdy[indx[29], indx[4]] = -(-k[257]*y[:,29] - k[259]*y[:,29] + k[272]*y[:,33] + k[323]*y[:,31] + k[375]*y[:,38] + k[400]*y[:,41])
+ dfdy[indx[28], indx[65]] = -(0)
+ dfdy[indx[28], indx[66]] = -(0)
+ dfdy[indx[28], indx[67]] = -(M*k[779])
+ dfdy[indx[28], indx[68]] = -(0)
+ dfdy[indx[29], indx[0]] = -(k[258]*y[:,28] - k[263]*y[:,29] - k[271]*y[:,29] + k[273]*y[:,33] + k[296]*y[:,34] + k[396]*y[:,32] - k[445]*y[:,29] - k[646]*y[:,29])
+ dfdy[indx[29], indx[1]] = -(k[230]*y[:,28] - k[232]*y[:,29] + 2*k[304]*y[:,34] + k[493]*y[:,40] + k[643]*y[:,67])
+ dfdy[indx[29], indx[2]] = -(k[264]*y[:,28] - k[274]*y[:,29] - k[494]*y[:,29] + k[645]*y[:,67])
+ dfdy[indx[29], indx[3]] = -(M*k[772]*y[:,28] - k[229]*y[:,29] + k[231]*y[:,33] + k[260]*y[:,32] + k[282]*y[:,34] + k[302]*y[:,30] + k[324]*y[:,36] + k[408]*y[:,44] + k[446]*y[:,40] - k[644]*y[:,29] - 2*k[850]*y[:,29]*y[:,3])
+ dfdy[indx[29], indx[4]] = -(-k[257]*y[:,29] - k[259]*y[:,29] + k[272]*y[:,33] + k[321]*y[:,31] + k[373]*y[:,37] + k[398]*y[:,40])
dfdy[indx[29], indx[5]] = -(k[217]*y[:,28] - k[222]*y[:,29] + k[291]*y[:,32])
dfdy[indx[29], indx[6]] = -(-k[218]*y[:,29] - k[301]*y[:,29])
dfdy[indx[29], indx[7]] = -(k[221]*y[:,28] + k[285]*y[:,34])
@@ -9361,7 +10255,7 @@ def neg_symjac(y, M, k):
dfdy[indx[29], indx[14]] = -(0)
dfdy[indx[29], indx[15]] = -(0)
dfdy[indx[29], indx[16]] = -(0)
- dfdy[indx[29], indx[17]] = -(-M*k[674]*y[:,29] - k[292]*y[:,29] - k[324]*y[:,29] - k[798]*y[:,29])
+ dfdy[indx[29], indx[17]] = -(-M*k[724]*y[:,29] - k[292]*y[:,29] - k[322]*y[:,29] - k[860]*y[:,29])
dfdy[indx[29], indx[18]] = -(0)
dfdy[indx[29], indx[19]] = -(0)
dfdy[indx[29], indx[20]] = -(0)
@@ -9369,33 +10263,33 @@ def neg_symjac(y, M, k):
dfdy[indx[29], indx[22]] = -(0)
dfdy[indx[29], indx[23]] = -(0)
dfdy[indx[29], indx[24]] = -(0)
- dfdy[indx[29], indx[25]] = -(-k[397]*y[:,29] - k[399]*y[:,29])
+ dfdy[indx[29], indx[25]] = -(-k[395]*y[:,29] - k[397]*y[:,29])
dfdy[indx[29], indx[26]] = -(0)
dfdy[indx[29], indx[27]] = -(0)
- dfdy[indx[29], indx[28]] = -(M*k[708]*y[:,0] + k[217]*y[:,5] + k[221]*y[:,7] + k[230]*y[:,3] + k[238]*y[:,9] + k[258]*y[:,2] + k[264]*y[:,1] - k[281]*y[:,29] + k[492]*y[:,35])
- dfdy[indx[29], indx[29]] = -(-M*k[674]*y[:,17] - M*k[707] - k[218]*y[:,6] - k[222]*y[:,5] - k[229]*y[:,0] - k[232]*y[:,3] - k[237]*y[:,8] - k[240]*y[:,9] - k[248]*y[:,11] - k[257]*y[:,4] - k[259]*y[:,4] - k[263]*y[:,2] - k[271]*y[:,2] - k[274]*y[:,1] - k[281]*y[:,28] - k[286]*y[:,31] - k[292]*y[:,17] - k[295]*y[:,32] - k[301]*y[:,6] - 4*k[303]*y[:,29] - k[314]*y[:,35] - k[319]*y[:,36] - k[324]*y[:,17] - k[325]*y[:,33] - k[359]*y[:,37] - k[376]*y[:,32] - k[397]*y[:,25] - k[399]*y[:,25] - k[409]*y[:,32] - k[447]*y[:,2] - k[472]*y[:,42] - k[487]*y[:,39] - k[491]*y[:,33] - k[496]*y[:,1] - k[600]*y[:,0] - k[602]*y[:,2] - k[604]*y[:,33] - k[788]*y[:,0]**2 - k[798]*y[:,17])
- dfdy[indx[29], indx[30]] = -(k[302]*y[:,0])
- dfdy[indx[29], indx[31]] = -(-k[286]*y[:,29] + k[320]*y[:,33] + k[323]*y[:,4])
- dfdy[indx[29], indx[32]] = -(k[260]*y[:,0] + k[291]*y[:,5] - k[295]*y[:,29] - k[376]*y[:,29] + k[398]*y[:,2] - k[409]*y[:,29])
- dfdy[indx[29], indx[33]] = -(k[231]*y[:,0] + k[239]*y[:,8] + k[247]*y[:,12] + k[272]*y[:,4] + k[273]*y[:,2] + 2*k[313]*y[:,33] + k[320]*y[:,31] - k[325]*y[:,29] + k[360]*y[:,38] + k[471]*y[:,51] + k[488]*y[:,37] - k[491]*y[:,29] - k[604]*y[:,29])
- dfdy[indx[29], indx[34]] = -(k[282]*y[:,0] + k[285]*y[:,7] + k[296]*y[:,2] + 2*k[304]*y[:,3])
- dfdy[indx[29], indx[35]] = -(-k[314]*y[:,29] + k[492]*y[:,28] + k[603]*y[:,62] + k[787])
- dfdy[indx[29], indx[36]] = -(-k[319]*y[:,29])
- dfdy[indx[29], indx[37]] = -(k[326]*y[:,0] - k[359]*y[:,29] + k[488]*y[:,33])
- dfdy[indx[29], indx[38]] = -(k[360]*y[:,33] + k[375]*y[:,4])
- dfdy[indx[29], indx[39]] = -(-k[487]*y[:,29])
- dfdy[indx[29], indx[40]] = -(0)
- dfdy[indx[29], indx[41]] = -(k[400]*y[:,4] + k[448]*y[:,0] + k[495]*y[:,3])
- dfdy[indx[29], indx[42]] = -(M*k[673] - k[472]*y[:,29] + k[797])
+ dfdy[indx[29], indx[28]] = -(M*k[772]*y[:,3] + k[217]*y[:,5] + k[221]*y[:,7] + k[230]*y[:,1] + k[238]*y[:,9] + k[258]*y[:,0] + k[264]*y[:,2] - k[281]*y[:,29] + k[490]*y[:,35])
+ dfdy[indx[29], indx[29]] = -(-M*k[724]*y[:,17] - M*k[771] - k[218]*y[:,6] - k[222]*y[:,5] - k[229]*y[:,3] - k[232]*y[:,1] - k[237]*y[:,8] - k[240]*y[:,9] - k[248]*y[:,11] - k[257]*y[:,4] - k[259]*y[:,4] - k[263]*y[:,0] - k[271]*y[:,0] - k[274]*y[:,2] - k[281]*y[:,28] - k[286]*y[:,31] - k[292]*y[:,17] - k[295]*y[:,32] - k[301]*y[:,6] - 4*k[303]*y[:,29] - k[314]*y[:,35] - k[322]*y[:,17] - k[323]*y[:,33] - k[357]*y[:,36] - k[374]*y[:,32] - k[395]*y[:,25] - k[397]*y[:,25] - k[407]*y[:,32] - k[445]*y[:,0] - k[470]*y[:,42] - k[485]*y[:,38] - k[489]*y[:,33] - k[494]*y[:,2] - k[644]*y[:,3] - k[646]*y[:,0] - k[648]*y[:,33] - k[850]*y[:,3]**2 - k[860]*y[:,17])
+ dfdy[indx[29], indx[30]] = -(k[302]*y[:,3])
+ dfdy[indx[29], indx[31]] = -(-k[286]*y[:,29] + k[321]*y[:,4])
+ dfdy[indx[29], indx[32]] = -(k[260]*y[:,3] + k[291]*y[:,5] - k[295]*y[:,29] - k[374]*y[:,29] + k[396]*y[:,0] - k[407]*y[:,29])
+ dfdy[indx[29], indx[33]] = -(k[231]*y[:,3] + k[239]*y[:,8] + k[247]*y[:,12] + k[272]*y[:,4] + k[273]*y[:,0] + 2*k[313]*y[:,33] - k[323]*y[:,29] + k[358]*y[:,37] + k[469]*y[:,51] + k[486]*y[:,36] - k[489]*y[:,29] - k[648]*y[:,29])
+ dfdy[indx[29], indx[34]] = -(k[282]*y[:,3] + k[285]*y[:,7] + k[296]*y[:,0] + 2*k[304]*y[:,1])
+ dfdy[indx[29], indx[35]] = -(-k[314]*y[:,29] + k[490]*y[:,28] + k[647]*y[:,67] + k[849])
+ dfdy[indx[29], indx[36]] = -(k[324]*y[:,3] - k[357]*y[:,29] + k[486]*y[:,33])
+ dfdy[indx[29], indx[37]] = -(k[358]*y[:,33] + k[373]*y[:,4])
+ dfdy[indx[29], indx[38]] = -(-k[485]*y[:,29])
+ dfdy[indx[29], indx[39]] = -(0)
+ dfdy[indx[29], indx[40]] = -(k[398]*y[:,4] + k[446]*y[:,3] + k[493]*y[:,1])
+ dfdy[indx[29], indx[41]] = -(0)
+ dfdy[indx[29], indx[42]] = -(M*k[723] - k[470]*y[:,29] + k[859])
dfdy[indx[29], indx[43]] = -(0)
- dfdy[indx[29], indx[44]] = -(k[410]*y[:,0])
+ dfdy[indx[29], indx[44]] = -(k[408]*y[:,3])
dfdy[indx[29], indx[45]] = -(0)
dfdy[indx[29], indx[46]] = -(0)
dfdy[indx[29], indx[47]] = -(0)
dfdy[indx[29], indx[48]] = -(0)
dfdy[indx[29], indx[49]] = -(0)
dfdy[indx[29], indx[50]] = -(0)
- dfdy[indx[29], indx[51]] = -(k[471]*y[:,33])
+ dfdy[indx[29], indx[51]] = -(k[469]*y[:,33])
dfdy[indx[29], indx[52]] = -(0)
dfdy[indx[29], indx[53]] = -(0)
dfdy[indx[29], indx[54]] = -(0)
@@ -9406,28 +10300,32 @@ def neg_symjac(y, M, k):
dfdy[indx[29], indx[59]] = -(0)
dfdy[indx[29], indx[60]] = -(0)
dfdy[indx[29], indx[61]] = -(0)
- dfdy[indx[29], indx[62]] = -(k[599]*y[:,3] + k[601]*y[:,1] + k[603]*y[:,35])
+ dfdy[indx[29], indx[62]] = -(0)
dfdy[indx[29], indx[63]] = -(0)
dfdy[indx[29], indx[64]] = -(0)
- dfdy[indx[30], indx[0]] = -(-M*k[663]*y[:,30] - k[220]*y[:,30] + k[234]*y[:,31] - k[302]*y[:,30] + k[480]*y[:,51] + k[526]*y[:,54] + k[538]*y[:,57] - k[790]*y[:,30])
- dfdy[indx[30], indx[1]] = -(-k[268]*y[:,30])
- dfdy[indx[30], indx[2]] = -(-k[265]*y[:,30] + k[267]*y[:,31] - k[479]*y[:,30])
- dfdy[indx[30], indx[3]] = -(-k[233]*y[:,30])
+ dfdy[indx[29], indx[65]] = -(0)
+ dfdy[indx[29], indx[66]] = -(0)
+ dfdy[indx[29], indx[67]] = -(k[643]*y[:,1] + k[645]*y[:,2] + k[647]*y[:,35])
+ dfdy[indx[29], indx[68]] = -(0)
+ dfdy[indx[30], indx[0]] = -(-k[265]*y[:,30] + k[267]*y[:,31] - k[477]*y[:,30])
+ dfdy[indx[30], indx[1]] = -(-k[233]*y[:,30])
+ dfdy[indx[30], indx[2]] = -(-k[268]*y[:,30])
+ dfdy[indx[30], indx[3]] = -(-M*k[713]*y[:,30] - k[220]*y[:,30] + k[234]*y[:,31] - k[302]*y[:,30] + k[478]*y[:,51] + k[524]*y[:,54] + k[536]*y[:,57] + k[612]*y[:,56] - k[852]*y[:,30])
dfdy[indx[30], indx[4]] = -(k[266]*y[:,31] - k[275]*y[:,30] - k[288]*y[:,30])
dfdy[indx[30], indx[5]] = -(k[219]*y[:,28] + k[236]*y[:,31])
dfdy[indx[30], indx[6]] = -(-k[226]*y[:,30] + k[284]*y[:,34] + k[287]*y[:,32] + k[301]*y[:,29])
dfdy[indx[30], indx[7]] = -(-k[235]*y[:,30] + k[242]*y[:,31])
- dfdy[indx[30], indx[8]] = -(-k[241]*y[:,30] + k[244]*y[:,31])
+ dfdy[indx[30], indx[8]] = -(-k[241]*y[:,30] + k[244]*y[:,31] - k[611]*y[:,30])
dfdy[indx[30], indx[9]] = -(-k[243]*y[:,30])
dfdy[indx[30], indx[10]] = -(k[225]*y[:,28] + 2*k[245]*y[:,34])
- dfdy[indx[30], indx[11]] = -(-k[525]*y[:,30])
+ dfdy[indx[30], indx[11]] = -(-k[523]*y[:,30])
dfdy[indx[30], indx[12]] = -(0)
dfdy[indx[30], indx[13]] = -(0)
- dfdy[indx[30], indx[14]] = -(-k[537]*y[:,30])
- dfdy[indx[30], indx[15]] = -(k[322]*y[:,31])
- dfdy[indx[30], indx[16]] = -(-k[321]*y[:,30])
- dfdy[indx[30], indx[17]] = -(k[276]*y[:,28] + k[300]*y[:,34] + k[476]*y[:,51])
- dfdy[indx[30], indx[18]] = -(-k[475]*y[:,30])
+ dfdy[indx[30], indx[14]] = -(-k[535]*y[:,30])
+ dfdy[indx[30], indx[15]] = -(k[320]*y[:,31])
+ dfdy[indx[30], indx[16]] = -(-k[319]*y[:,30])
+ dfdy[indx[30], indx[17]] = -(k[276]*y[:,28] + k[300]*y[:,34] + k[474]*y[:,51])
+ dfdy[indx[30], indx[18]] = -(-k[473]*y[:,30])
dfdy[indx[30], indx[19]] = -(0)
dfdy[indx[30], indx[20]] = -(0)
dfdy[indx[30], indx[21]] = -(0)
@@ -9439,8 +10337,8 @@ def neg_symjac(y, M, k):
dfdy[indx[30], indx[27]] = -(0)
dfdy[indx[30], indx[28]] = -(k[219]*y[:,5] + k[225]*y[:,10] + k[276]*y[:,17] - k[283]*y[:,30])
dfdy[indx[30], indx[29]] = -(k[301]*y[:,6])
- dfdy[indx[30], indx[30]] = -(-M*k[663]*y[:,0] - k[220]*y[:,0] - k[226]*y[:,6] - k[233]*y[:,3] - k[235]*y[:,7] - k[241]*y[:,8] - k[243]*y[:,9] - 4*k[246]*y[:,30] - k[265]*y[:,2] - k[268]*y[:,1] - k[275]*y[:,4] - k[283]*y[:,28] - k[288]*y[:,4] - k[299]*y[:,32] - k[302]*y[:,0] - k[317]*y[:,35] - k[321]*y[:,16] - k[470]*y[:,42] - k[475]*y[:,18] - k[479]*y[:,2] - k[525]*y[:,11] - k[537]*y[:,14] - k[790]*y[:,0])
- dfdy[indx[30], indx[31]] = -(M*k[664] + k[234]*y[:,0] + k[236]*y[:,5] + k[242]*y[:,7] + k[244]*y[:,8] + k[266]*y[:,4] + k[267]*y[:,2] + k[318]*y[:,33] + k[322]*y[:,15] + k[469]*y[:,51] + k[789])
+ dfdy[indx[30], indx[30]] = -(-M*k[713]*y[:,3] - k[220]*y[:,3] - k[226]*y[:,6] - k[233]*y[:,1] - k[235]*y[:,7] - k[241]*y[:,8] - k[243]*y[:,9] - 4*k[246]*y[:,30] - k[265]*y[:,0] - k[268]*y[:,2] - k[275]*y[:,4] - k[283]*y[:,28] - k[288]*y[:,4] - k[299]*y[:,32] - k[302]*y[:,3] - k[317]*y[:,35] - k[319]*y[:,16] - k[468]*y[:,42] - k[473]*y[:,18] - k[477]*y[:,0] - k[523]*y[:,11] - k[535]*y[:,14] - k[611]*y[:,8] - k[852]*y[:,3])
+ dfdy[indx[30], indx[31]] = -(M*k[714] + k[234]*y[:,3] + k[236]*y[:,5] + k[242]*y[:,7] + k[244]*y[:,8] + k[266]*y[:,4] + k[267]*y[:,0] + k[318]*y[:,33] + k[320]*y[:,15] + k[467]*y[:,51] + k[851])
dfdy[indx[30], indx[32]] = -(k[287]*y[:,6] - k[299]*y[:,30])
dfdy[indx[30], indx[33]] = -(k[318]*y[:,31])
dfdy[indx[30], indx[34]] = -(2*k[245]*y[:,10] + k[284]*y[:,6] + k[300]*y[:,17])
@@ -9451,7 +10349,7 @@ def neg_symjac(y, M, k):
dfdy[indx[30], indx[39]] = -(0)
dfdy[indx[30], indx[40]] = -(0)
dfdy[indx[30], indx[41]] = -(0)
- dfdy[indx[30], indx[42]] = -(-k[470]*y[:,30])
+ dfdy[indx[30], indx[42]] = -(-k[468]*y[:,30])
dfdy[indx[30], indx[43]] = -(0)
dfdy[indx[30], indx[44]] = -(0)
dfdy[indx[30], indx[45]] = -(0)
@@ -9460,13 +10358,13 @@ def neg_symjac(y, M, k):
dfdy[indx[30], indx[48]] = -(0)
dfdy[indx[30], indx[49]] = -(0)
dfdy[indx[30], indx[50]] = -(0)
- dfdy[indx[30], indx[51]] = -(k[469]*y[:,31] + k[476]*y[:,17] + k[480]*y[:,0])
+ dfdy[indx[30], indx[51]] = -(k[467]*y[:,31] + k[474]*y[:,17] + k[478]*y[:,3])
dfdy[indx[30], indx[52]] = -(0)
dfdy[indx[30], indx[53]] = -(0)
- dfdy[indx[30], indx[54]] = -(k[526]*y[:,0])
+ dfdy[indx[30], indx[54]] = -(k[524]*y[:,3])
dfdy[indx[30], indx[55]] = -(0)
- dfdy[indx[30], indx[56]] = -(0)
- dfdy[indx[30], indx[57]] = -(k[538]*y[:,0])
+ dfdy[indx[30], indx[56]] = -(k[612]*y[:,3])
+ dfdy[indx[30], indx[57]] = -(k[536]*y[:,3])
dfdy[indx[30], indx[58]] = -(0)
dfdy[indx[30], indx[59]] = -(0)
dfdy[indx[30], indx[60]] = -(0)
@@ -9474,64 +10372,68 @@ def neg_symjac(y, M, k):
dfdy[indx[30], indx[62]] = -(0)
dfdy[indx[30], indx[63]] = -(0)
dfdy[indx[30], indx[64]] = -(0)
- dfdy[indx[31], indx[0]] = -(M*k[663]*y[:,30] - M*k[671]*y[:,31] - k[224]*y[:,31] - k[234]*y[:,31] + k[368]*y[:,42] + k[478]*y[:,51] + k[523]*y[:,36] + k[528]*y[:,54] + k[529]*y[:,55] + k[540]*y[:,57] + k[790]*y[:,30])
- dfdy[indx[31], indx[1]] = -(k[268]*y[:,30] - k[294]*y[:,31] - k[362]*y[:,31])
- dfdy[indx[31], indx[2]] = -(k[265]*y[:,30] - k[267]*y[:,31] - k[269]*y[:,31] + k[361]*y[:,36] - k[367]*y[:,31])
- dfdy[indx[31], indx[3]] = -(k[233]*y[:,30] - k[372]*y[:,31] - k[524]*y[:,31])
- dfdy[indx[31], indx[4]] = -(-k[266]*y[:,31] - k[290]*y[:,31] - k[323]*y[:,31] - k[477]*y[:,31])
+ dfdy[indx[30], indx[65]] = -(0)
+ dfdy[indx[30], indx[66]] = -(0)
+ dfdy[indx[30], indx[67]] = -(0)
+ dfdy[indx[30], indx[68]] = -(0)
+ dfdy[indx[31], indx[0]] = -(k[265]*y[:,30] - k[267]*y[:,31] - k[269]*y[:,31] + k[359]*y[:,41] - k[365]*y[:,31])
+ dfdy[indx[31], indx[1]] = -(k[233]*y[:,30] - k[370]*y[:,31] - k[522]*y[:,31])
+ dfdy[indx[31], indx[2]] = -(k[268]*y[:,30] - k[294]*y[:,31] - k[360]*y[:,31])
+ dfdy[indx[31], indx[3]] = -(M*k[713]*y[:,30] - M*k[721]*y[:,31] - k[224]*y[:,31] - k[234]*y[:,31] + k[366]*y[:,42] + k[476]*y[:,51] + k[521]*y[:,41] + k[526]*y[:,54] + k[527]*y[:,55] + k[538]*y[:,57] + k[852]*y[:,30])
+ dfdy[indx[31], indx[4]] = -(-k[266]*y[:,31] - k[290]*y[:,31] - k[321]*y[:,31] - k[475]*y[:,31] + k[545]*y[:,56])
dfdy[indx[31], indx[5]] = -(-k[236]*y[:,31] + k[289]*y[:,32])
dfdy[indx[31], indx[6]] = -(0)
dfdy[indx[31], indx[7]] = -(k[223]*y[:,28] + k[235]*y[:,30] - k[242]*y[:,31] + k[285]*y[:,34])
- dfdy[indx[31], indx[8]] = -(k[241]*y[:,30] - k[244]*y[:,31] + k[293]*y[:,32] + k[371]*y[:,28] - k[530]*y[:,31])
+ dfdy[indx[31], indx[8]] = -(k[241]*y[:,30] - k[244]*y[:,31] + k[293]*y[:,32] + k[369]*y[:,28] - k[528]*y[:,31])
dfdy[indx[31], indx[9]] = -(k[243]*y[:,30])
- dfdy[indx[31], indx[10]] = -(k[541]*y[:,57])
+ dfdy[indx[31], indx[10]] = -(k[539]*y[:,57])
dfdy[indx[31], indx[11]] = -(0)
- dfdy[indx[31], indx[12]] = -(-k[527]*y[:,31])
- dfdy[indx[31], indx[13]] = -(-k[539]*y[:,31])
+ dfdy[indx[31], indx[12]] = -(-k[525]*y[:,31])
+ dfdy[indx[31], indx[13]] = -(-k[537]*y[:,31])
dfdy[indx[31], indx[14]] = -(0)
- dfdy[indx[31], indx[15]] = -(-k[322]*y[:,31])
- dfdy[indx[31], indx[16]] = -(k[321]*y[:,30])
- dfdy[indx[31], indx[17]] = -(k[270]*y[:,33] + k[324]*y[:,29])
+ dfdy[indx[31], indx[15]] = -(-k[320]*y[:,31])
+ dfdy[indx[31], indx[16]] = -(k[319]*y[:,30])
+ dfdy[indx[31], indx[17]] = -(k[270]*y[:,33] + k[322]*y[:,29])
dfdy[indx[31], indx[18]] = -(0)
dfdy[indx[31], indx[19]] = -(0)
dfdy[indx[31], indx[20]] = -(0)
- dfdy[indx[31], indx[21]] = -(0)
+ dfdy[indx[31], indx[21]] = -(-k[546]*y[:,31])
dfdy[indx[31], indx[22]] = -(0)
dfdy[indx[31], indx[23]] = -(0)
dfdy[indx[31], indx[24]] = -(0)
dfdy[indx[31], indx[25]] = -(0)
dfdy[indx[31], indx[26]] = -(0)
dfdy[indx[31], indx[27]] = -(0)
- dfdy[indx[31], indx[28]] = -(k[223]*y[:,7] + k[371]*y[:,8])
- dfdy[indx[31], indx[29]] = -(-k[286]*y[:,31] + k[319]*y[:,36] + k[324]*y[:,17])
- dfdy[indx[31], indx[30]] = -(M*k[663]*y[:,0] + k[233]*y[:,3] + k[235]*y[:,7] + k[241]*y[:,8] + k[243]*y[:,9] + k[265]*y[:,2] + k[268]*y[:,1] + k[317]*y[:,35] + k[321]*y[:,16] + k[470]*y[:,42] + k[790]*y[:,0])
- dfdy[indx[31], indx[31]] = -(-M*k[664] - M*k[671]*y[:,0] - k[224]*y[:,0] - k[234]*y[:,0] - k[236]*y[:,5] - k[242]*y[:,7] - k[244]*y[:,8] - k[266]*y[:,4] - k[267]*y[:,2] - k[269]*y[:,2] - k[286]*y[:,29] - k[290]*y[:,4] - k[294]*y[:,1] - k[318]*y[:,33] - k[320]*y[:,33] - k[322]*y[:,15] - k[323]*y[:,4] - k[362]*y[:,1] - k[367]*y[:,2] - k[372]*y[:,3] - k[469]*y[:,51] - k[477]*y[:,4] - k[490]*y[:,35] - k[524]*y[:,3] - k[527]*y[:,12] - k[530]*y[:,8] - k[539]*y[:,13] - k[542]*y[:,45] - k[789])
+ dfdy[indx[31], indx[28]] = -(k[223]*y[:,7] + k[369]*y[:,8])
+ dfdy[indx[31], indx[29]] = -(-k[286]*y[:,31] + k[322]*y[:,17])
+ dfdy[indx[31], indx[30]] = -(M*k[713]*y[:,3] + k[233]*y[:,1] + k[235]*y[:,7] + k[241]*y[:,8] + k[243]*y[:,9] + k[265]*y[:,0] + k[268]*y[:,2] + k[317]*y[:,35] + k[319]*y[:,16] + k[468]*y[:,42] + k[852]*y[:,3])
+ dfdy[indx[31], indx[31]] = -(-M*k[714] - M*k[721]*y[:,3] - k[224]*y[:,3] - k[234]*y[:,3] - k[236]*y[:,5] - k[242]*y[:,7] - k[244]*y[:,8] - k[266]*y[:,4] - k[267]*y[:,0] - k[269]*y[:,0] - k[286]*y[:,29] - k[290]*y[:,4] - k[294]*y[:,2] - k[318]*y[:,33] - k[320]*y[:,15] - k[321]*y[:,4] - k[360]*y[:,2] - k[365]*y[:,0] - k[370]*y[:,1] - k[467]*y[:,51] - k[475]*y[:,4] - k[488]*y[:,35] - k[522]*y[:,1] - k[525]*y[:,12] - k[528]*y[:,8] - k[537]*y[:,13] - k[540]*y[:,45] - k[546]*y[:,21] - k[851])
dfdy[indx[31], indx[32]] = -(k[289]*y[:,5] + k[293]*y[:,8])
- dfdy[indx[31], indx[33]] = -(k[270]*y[:,17] - k[318]*y[:,31] - k[320]*y[:,31] + k[489]*y[:,36])
+ dfdy[indx[31], indx[33]] = -(k[270]*y[:,17] - k[318]*y[:,31] + k[487]*y[:,41])
dfdy[indx[31], indx[34]] = -(k[285]*y[:,7])
- dfdy[indx[31], indx[35]] = -(k[317]*y[:,30] - k[490]*y[:,31])
- dfdy[indx[31], indx[36]] = -(M*k[672] + k[319]*y[:,29] + k[361]*y[:,2] + k[489]*y[:,33] + k[523]*y[:,0])
+ dfdy[indx[31], indx[35]] = -(k[317]*y[:,30] - k[488]*y[:,31])
+ dfdy[indx[31], indx[36]] = -(0)
dfdy[indx[31], indx[37]] = -(0)
dfdy[indx[31], indx[38]] = -(0)
dfdy[indx[31], indx[39]] = -(0)
dfdy[indx[31], indx[40]] = -(0)
- dfdy[indx[31], indx[41]] = -(0)
- dfdy[indx[31], indx[42]] = -(k[368]*y[:,0] + k[470]*y[:,30])
+ dfdy[indx[31], indx[41]] = -(M*k[722] + k[359]*y[:,0] + k[487]*y[:,33] + k[521]*y[:,3])
+ dfdy[indx[31], indx[42]] = -(k[366]*y[:,3] + k[468]*y[:,30])
dfdy[indx[31], indx[43]] = -(0)
dfdy[indx[31], indx[44]] = -(0)
- dfdy[indx[31], indx[45]] = -(-k[542]*y[:,31])
+ dfdy[indx[31], indx[45]] = -(-k[540]*y[:,31])
dfdy[indx[31], indx[46]] = -(0)
dfdy[indx[31], indx[47]] = -(0)
dfdy[indx[31], indx[48]] = -(0)
dfdy[indx[31], indx[49]] = -(0)
dfdy[indx[31], indx[50]] = -(0)
- dfdy[indx[31], indx[51]] = -(-k[469]*y[:,31] + k[478]*y[:,0])
+ dfdy[indx[31], indx[51]] = -(-k[467]*y[:,31] + k[476]*y[:,3])
dfdy[indx[31], indx[52]] = -(0)
dfdy[indx[31], indx[53]] = -(0)
- dfdy[indx[31], indx[54]] = -(k[528]*y[:,0])
- dfdy[indx[31], indx[55]] = -(k[529]*y[:,0])
- dfdy[indx[31], indx[56]] = -(0)
- dfdy[indx[31], indx[57]] = -(k[540]*y[:,0] + k[541]*y[:,10])
+ dfdy[indx[31], indx[54]] = -(k[526]*y[:,3])
+ dfdy[indx[31], indx[55]] = -(k[527]*y[:,3])
+ dfdy[indx[31], indx[56]] = -(k[545]*y[:,4])
+ dfdy[indx[31], indx[57]] = -(k[538]*y[:,3] + k[539]*y[:,10])
dfdy[indx[31], indx[58]] = -(0)
dfdy[indx[31], indx[59]] = -(0)
dfdy[indx[31], indx[60]] = -(0)
@@ -9539,15 +10441,19 @@ def neg_symjac(y, M, k):
dfdy[indx[31], indx[62]] = -(0)
dfdy[indx[31], indx[63]] = -(0)
dfdy[indx[31], indx[64]] = -(0)
- dfdy[indx[32], indx[0]] = -(-M*k[685]*y[:,32] - k[227]*y[:,32] - k[260]*y[:,32] + k[364]*y[:,42] + k[410]*y[:,44] + k[453]*y[:,41] + k[465]*y[:,50])
- dfdy[indx[32], indx[1]] = -(k[294]*y[:,31] + k[298]*y[:,34] - k[450]*y[:,32] - k[466]*y[:,32])
- dfdy[indx[32], indx[2]] = -(-M*k[687]*y[:,32] + k[228]*y[:,28] + k[296]*y[:,34] + k[354]*y[:,38] + k[380]*y[:,36] - k[398]*y[:,32] + k[449]*y[:,41] - k[452]*y[:,32])
- dfdy[indx[32], indx[3]] = -(-k[310]*y[:,32] - k[454]*y[:,32])
- dfdy[indx[32], indx[4]] = -(-M*k[677]*y[:,32] + M*k[709]*y[:,28] + k[259]*y[:,29] + k[280]*y[:,34] + k[288]*y[:,30] + k[290]*y[:,31] + k[309]*y[:,33] + k[375]*y[:,38] - k[396]*y[:,32] + k[403]*y[:,43] + k[451]*y[:,41] + k[792]*y[:,28] - k[794]*y[:,32])
+ dfdy[indx[31], indx[65]] = -(0)
+ dfdy[indx[31], indx[66]] = -(0)
+ dfdy[indx[31], indx[67]] = -(0)
+ dfdy[indx[31], indx[68]] = -(0)
+ dfdy[indx[32], indx[0]] = -(-M*k[737]*y[:,32] + k[227]*y[:,28] + k[296]*y[:,34] + k[352]*y[:,37] + k[378]*y[:,41] - k[396]*y[:,32] + k[447]*y[:,40] - k[450]*y[:,32] + k[604]*y[:,43] - k[878]*y[:,32])
+ dfdy[indx[32], indx[1]] = -(-k[310]*y[:,32] - k[452]*y[:,32])
+ dfdy[indx[32], indx[2]] = -(k[294]*y[:,31] + k[298]*y[:,34] - k[448]*y[:,32] - k[464]*y[:,32])
+ dfdy[indx[32], indx[3]] = -(-M*k[735]*y[:,32] - k[228]*y[:,32] - k[260]*y[:,32] + k[362]*y[:,42] + k[408]*y[:,44] + k[451]*y[:,40] + k[463]*y[:,50])
+ dfdy[indx[32], indx[4]] = -(-M*k[727]*y[:,32] + M*k[773]*y[:,28] + k[259]*y[:,29] + k[280]*y[:,34] + k[288]*y[:,30] + k[290]*y[:,31] + k[309]*y[:,33] + k[373]*y[:,37] - k[394]*y[:,32] + k[401]*y[:,43] + k[449]*y[:,40] - k[650]*y[:,32] + k[854]*y[:,28] - k[856]*y[:,32])
dfdy[indx[32], indx[5]] = -(-k[289]*y[:,32] - k[291]*y[:,32])
dfdy[indx[32], indx[6]] = -(-k[287]*y[:,32])
- dfdy[indx[32], indx[7]] = -(-k[363]*y[:,32])
- dfdy[indx[32], indx[8]] = -(-k[293]*y[:,32] - k[379]*y[:,32] + k[415]*y[:,43])
+ dfdy[indx[32], indx[7]] = -(-k[361]*y[:,32])
+ dfdy[indx[32], indx[8]] = -(-k[293]*y[:,32] - k[377]*y[:,32] + k[413]*y[:,43])
dfdy[indx[32], indx[9]] = -(0)
dfdy[indx[32], indx[10]] = -(0)
dfdy[indx[32], indx[11]] = -(0)
@@ -9556,42 +10462,42 @@ def neg_symjac(y, M, k):
dfdy[indx[32], indx[14]] = -(0)
dfdy[indx[32], indx[15]] = -(0)
dfdy[indx[32], indx[16]] = -(0)
- dfdy[indx[32], indx[17]] = -(-k[278]*y[:,32] + k[292]*y[:,29] + k[300]*y[:,34] + k[458]*y[:,41])
+ dfdy[indx[32], indx[17]] = -(-k[278]*y[:,32] + k[292]*y[:,29] + k[300]*y[:,34] + k[456]*y[:,40])
dfdy[indx[32], indx[18]] = -(k[277]*y[:,28])
dfdy[indx[32], indx[19]] = -(0)
- dfdy[indx[32], indx[20]] = -(k[456]*y[:,41])
- dfdy[indx[32], indx[21]] = -(-k[457]*y[:,32])
- dfdy[indx[32], indx[22]] = -(-k[416]*y[:,32] - k[455]*y[:,32])
+ dfdy[indx[32], indx[20]] = -(k[454]*y[:,40])
+ dfdy[indx[32], indx[21]] = -(-k[455]*y[:,32])
+ dfdy[indx[32], indx[22]] = -(-k[414]*y[:,32] - k[453]*y[:,32])
dfdy[indx[32], indx[23]] = -(0)
dfdy[indx[32], indx[24]] = -(0)
- dfdy[indx[32], indx[25]] = -(k[395]*y[:,28] + k[397]*y[:,29] - k[404]*y[:,32] - k[588]*y[:,32])
+ dfdy[indx[32], indx[25]] = -(k[393]*y[:,28] + k[395]*y[:,29] - k[402]*y[:,32] - k[630]*y[:,32] + k[649]*y[:,67])
dfdy[indx[32], indx[26]] = -(0)
dfdy[indx[32], indx[27]] = -(0)
- dfdy[indx[32], indx[28]] = -(M*k[709]*y[:,4] + k[228]*y[:,2] + k[277]*y[:,18] - k[279]*y[:,32] + k[395]*y[:,25] + k[792]*y[:,4])
- dfdy[indx[32], indx[29]] = -(k[259]*y[:,4] + k[292]*y[:,17] - k[295]*y[:,32] - k[376]*y[:,32] + k[397]*y[:,25] - k[409]*y[:,32])
+ dfdy[indx[32], indx[28]] = -(M*k[773]*y[:,4] + k[227]*y[:,0] + k[277]*y[:,18] - k[279]*y[:,32] + k[393]*y[:,25] + k[854]*y[:,4])
+ dfdy[indx[32], indx[29]] = -(k[259]*y[:,4] + k[292]*y[:,17] - k[295]*y[:,32] - k[374]*y[:,32] + k[395]*y[:,25] - k[407]*y[:,32])
dfdy[indx[32], indx[30]] = -(k[288]*y[:,4] - k[299]*y[:,32])
- dfdy[indx[32], indx[31]] = -(k[290]*y[:,4] + k[294]*y[:,1])
- dfdy[indx[32], indx[32]] = -(-M*k[677]*y[:,4] - M*k[685]*y[:,0] - M*k[687]*y[:,2] - M*k[710] - k[227]*y[:,0] - k[260]*y[:,0] - k[278]*y[:,17] - k[279]*y[:,28] - k[287]*y[:,6] - k[289]*y[:,5] - k[291]*y[:,5] - k[293]*y[:,8] - k[295]*y[:,29] - k[297]*y[:,33] - k[299]*y[:,30] - k[310]*y[:,3] - k[353]*y[:,33] - k[355]*y[:,38] - k[363]*y[:,7] - k[376]*y[:,29] - k[379]*y[:,8] - k[396]*y[:,4] - k[398]*y[:,2] - k[404]*y[:,25] - k[409]*y[:,29] - k[416]*y[:,22] - k[450]*y[:,1] - k[452]*y[:,2] - k[454]*y[:,3] - k[455]*y[:,22] - k[457]*y[:,21] - k[466]*y[:,1] - k[468]*y[:,35] - k[588]*y[:,25] - k[791] - k[794]*y[:,4])
- dfdy[indx[32], indx[33]] = -(-k[297]*y[:,32] + k[309]*y[:,4] - k[353]*y[:,32] + k[467]*y[:,41])
- dfdy[indx[32], indx[34]] = -(k[280]*y[:,4] + k[296]*y[:,2] + k[298]*y[:,1] + k[300]*y[:,17] + k[356]*y[:,41])
- dfdy[indx[32], indx[35]] = -(-k[468]*y[:,32])
- dfdy[indx[32], indx[36]] = -(k[380]*y[:,2])
- dfdy[indx[32], indx[37]] = -(0)
- dfdy[indx[32], indx[38]] = -(k[354]*y[:,2] - k[355]*y[:,32] + k[375]*y[:,4])
+ dfdy[indx[32], indx[31]] = -(k[290]*y[:,4] + k[294]*y[:,2])
+ dfdy[indx[32], indx[32]] = -(-M*k[727]*y[:,4] - M*k[735]*y[:,3] - M*k[737]*y[:,0] - M*k[774] - k[228]*y[:,3] - k[260]*y[:,3] - k[278]*y[:,17] - k[279]*y[:,28] - k[287]*y[:,6] - k[289]*y[:,5] - k[291]*y[:,5] - k[293]*y[:,8] - k[295]*y[:,29] - k[297]*y[:,33] - k[299]*y[:,30] - k[310]*y[:,1] - k[351]*y[:,33] - k[353]*y[:,37] - k[361]*y[:,7] - k[374]*y[:,29] - k[377]*y[:,8] - k[394]*y[:,4] - k[396]*y[:,0] - k[402]*y[:,25] - k[407]*y[:,29] - k[414]*y[:,22] - k[448]*y[:,2] - k[450]*y[:,0] - k[452]*y[:,1] - k[453]*y[:,22] - k[455]*y[:,21] - k[464]*y[:,2] - k[466]*y[:,35] - k[603]*y[:,52] - k[630]*y[:,25] - k[650]*y[:,4] - k[652]*y[:,34] - k[853] - k[856]*y[:,4] - k[878]*y[:,0])
+ dfdy[indx[32], indx[33]] = -(-k[297]*y[:,32] + k[309]*y[:,4] - k[351]*y[:,32] + k[465]*y[:,40])
+ dfdy[indx[32], indx[34]] = -(k[280]*y[:,4] + k[296]*y[:,0] + k[298]*y[:,2] + k[300]*y[:,17] + k[354]*y[:,40] - k[652]*y[:,32])
+ dfdy[indx[32], indx[35]] = -(-k[466]*y[:,32])
+ dfdy[indx[32], indx[36]] = -(0)
+ dfdy[indx[32], indx[37]] = -(k[352]*y[:,0] - k[353]*y[:,32] + k[373]*y[:,4])
+ dfdy[indx[32], indx[38]] = -(0)
dfdy[indx[32], indx[39]] = -(0)
- dfdy[indx[32], indx[40]] = -(0)
- dfdy[indx[32], indx[41]] = -(M*k[686] + k[356]*y[:,34] + k[449]*y[:,2] + k[451]*y[:,4] + k[453]*y[:,0] + k[456]*y[:,20] + k[458]*y[:,17] + k[467]*y[:,33])
- dfdy[indx[32], indx[42]] = -(k[364]*y[:,0])
- dfdy[indx[32], indx[43]] = -(M*k[678] + k[403]*y[:,4] + k[415]*y[:,8] + k[587]*y[:,60] + k[793])
- dfdy[indx[32], indx[44]] = -(k[410]*y[:,0])
+ dfdy[indx[32], indx[40]] = -(M*k[736] + k[354]*y[:,34] + k[447]*y[:,0] + k[449]*y[:,4] + k[451]*y[:,3] + k[454]*y[:,20] + k[456]*y[:,17] + k[465]*y[:,33])
+ dfdy[indx[32], indx[41]] = -(k[378]*y[:,0])
+ dfdy[indx[32], indx[42]] = -(k[362]*y[:,3])
+ dfdy[indx[32], indx[43]] = -(M*k[728] + k[401]*y[:,4] + k[413]*y[:,8] + k[604]*y[:,0] + k[629]*y[:,65] + k[855])
+ dfdy[indx[32], indx[44]] = -(k[408]*y[:,3] + k[651]*y[:,67])
dfdy[indx[32], indx[45]] = -(0)
dfdy[indx[32], indx[46]] = -(0)
dfdy[indx[32], indx[47]] = -(0)
dfdy[indx[32], indx[48]] = -(0)
dfdy[indx[32], indx[49]] = -(0)
- dfdy[indx[32], indx[50]] = -(M*k[688] + k[465]*y[:,0])
+ dfdy[indx[32], indx[50]] = -(M*k[738] + k[463]*y[:,3] + k[877])
dfdy[indx[32], indx[51]] = -(0)
- dfdy[indx[32], indx[52]] = -(0)
+ dfdy[indx[32], indx[52]] = -(-k[603]*y[:,32])
dfdy[indx[32], indx[53]] = -(0)
dfdy[indx[32], indx[54]] = -(0)
dfdy[indx[32], indx[55]] = -(0)
@@ -9599,63 +10505,67 @@ def neg_symjac(y, M, k):
dfdy[indx[32], indx[57]] = -(0)
dfdy[indx[32], indx[58]] = -(0)
dfdy[indx[32], indx[59]] = -(0)
- dfdy[indx[32], indx[60]] = -(k[587]*y[:,43])
+ dfdy[indx[32], indx[60]] = -(0)
dfdy[indx[32], indx[61]] = -(0)
dfdy[indx[32], indx[62]] = -(0)
dfdy[indx[32], indx[63]] = -(0)
dfdy[indx[32], indx[64]] = -(0)
- dfdy[indx[33], indx[0]] = -(-M*k[661]*y[:,33] - k[231]*y[:,33] + k[306]*y[:,35] + k[326]*y[:,37] + k[365]*y[:,42] + k[436]*y[:,46] + 2*k[439]*y[:,39] + k[494]*y[:,41] - k[786]*y[:,33])
- dfdy[indx[33], indx[1]] = -(k[274]*y[:,29] + k[298]*y[:,34] - k[311]*y[:,33] + k[412]*y[:,44])
- dfdy[indx[33], indx[2]] = -(-k[262]*y[:,33] + k[269]*y[:,31] + k[271]*y[:,29] - k[273]*y[:,33] + k[312]*y[:,35] + k[354]*y[:,38] + k[402]*y[:,41] + k[427]*y[:,46] - k[584]*y[:,33])
- dfdy[indx[33], indx[3]] = -(M*k[665]*y[:,28] + k[232]*y[:,29] - k[305]*y[:,33] + k[310]*y[:,32] + 2*k[378]*y[:,37] + k[434]*y[:,47])
- dfdy[indx[33], indx[4]] = -(k[261]*y[:,35] - k[272]*y[:,33] - k[309]*y[:,33] - k[493]*y[:,33])
+ dfdy[indx[32], indx[65]] = -(k[629]*y[:,43])
+ dfdy[indx[32], indx[66]] = -(0)
+ dfdy[indx[32], indx[67]] = -(k[649]*y[:,25] + k[651]*y[:,44])
+ dfdy[indx[32], indx[68]] = -(0)
+ dfdy[indx[33], indx[0]] = -(-k[262]*y[:,33] + k[269]*y[:,31] + k[271]*y[:,29] - k[273]*y[:,33] + k[311]*y[:,35] + k[352]*y[:,37] + k[400]*y[:,40] + k[425]*y[:,46] - k[626]*y[:,33])
+ dfdy[indx[33], indx[1]] = -(M*k[715]*y[:,28] + k[232]*y[:,29] - k[305]*y[:,33] + k[310]*y[:,32] + 2*k[376]*y[:,36] + k[432]*y[:,47] + k[576]*y[:,38])
+ dfdy[indx[33], indx[2]] = -(k[274]*y[:,29] + k[298]*y[:,34] - k[312]*y[:,33] + k[410]*y[:,44])
+ dfdy[indx[33], indx[3]] = -(-M*k[711]*y[:,33] - k[231]*y[:,33] + k[306]*y[:,35] + k[324]*y[:,36] + k[363]*y[:,42] + k[434]*y[:,46] + 2*k[437]*y[:,38] + k[492]*y[:,40] - k[848]*y[:,33])
+ dfdy[indx[33], indx[4]] = -(k[261]*y[:,35] - k[272]*y[:,33] - k[309]*y[:,33] - k[491]*y[:,33])
dfdy[indx[33], indx[5]] = -(k[315]*y[:,35])
dfdy[indx[33], indx[6]] = -(0)
- dfdy[indx[33], indx[7]] = -(-k[316]*y[:,33] + k[374]*y[:,35])
- dfdy[indx[33], indx[8]] = -(-M*k[683]*y[:,33] - k[239]*y[:,33] + k[308]*y[:,35] - k[373]*y[:,33] + k[425]*y[:,46] - k[433]*y[:,33] - k[435]*y[:,33])
+ dfdy[indx[33], indx[7]] = -(-k[316]*y[:,33] + k[372]*y[:,35])
+ dfdy[indx[33], indx[8]] = -(-M*k[733]*y[:,33] - k[239]*y[:,33] + k[308]*y[:,35] - k[371]*y[:,33] + k[423]*y[:,46] - k[431]*y[:,33] - k[433]*y[:,33])
dfdy[indx[33], indx[9]] = -(k[240]*y[:,29] - k[307]*y[:,33])
dfdy[indx[33], indx[10]] = -(0)
dfdy[indx[33], indx[11]] = -(k[248]*y[:,29] + k[250]*y[:,35])
dfdy[indx[33], indx[12]] = -(-k[247]*y[:,33])
dfdy[indx[33], indx[13]] = -(-k[249]*y[:,33] + k[252]*y[:,35])
dfdy[indx[33], indx[14]] = -(-k[251]*y[:,33] + k[254]*y[:,35])
- dfdy[indx[33], indx[15]] = -(-k[253]*y[:,33] + k[256]*y[:,35] - k[426]*y[:,33])
+ dfdy[indx[33], indx[15]] = -(-k[253]*y[:,33] + k[256]*y[:,35] - k[424]*y[:,33])
dfdy[indx[33], indx[16]] = -(-k[255]*y[:,33])
- dfdy[indx[33], indx[17]] = -(-k[270]*y[:,33] - k[366]*y[:,33])
+ dfdy[indx[33], indx[17]] = -(-k[270]*y[:,33] - k[364]*y[:,33])
dfdy[indx[33], indx[18]] = -(0)
- dfdy[indx[33], indx[19]] = -(-k[428]*y[:,33])
+ dfdy[indx[33], indx[19]] = -(-k[426]*y[:,33])
dfdy[indx[33], indx[20]] = -(0)
dfdy[indx[33], indx[21]] = -(0)
dfdy[indx[33], indx[22]] = -(0)
dfdy[indx[33], indx[23]] = -(0)
dfdy[indx[33], indx[24]] = -(0)
- dfdy[indx[33], indx[25]] = -(-k[401]*y[:,33] + k[550]*y[:,35])
+ dfdy[indx[33], indx[25]] = -(-k[399]*y[:,33] + k[550]*y[:,35])
dfdy[indx[33], indx[26]] = -(0)
dfdy[indx[33], indx[27]] = -(0)
- dfdy[indx[33], indx[28]] = -(M*k[665]*y[:,3] + k[492]*y[:,35])
- dfdy[indx[33], indx[29]] = -(k[232]*y[:,3] + k[240]*y[:,9] + k[248]*y[:,11] + k[271]*y[:,2] + k[274]*y[:,1] + 2*k[314]*y[:,35] + k[319]*y[:,36] - k[325]*y[:,33] + k[359]*y[:,37] + k[472]*y[:,42] + k[487]*y[:,39] - k[491]*y[:,33] - k[604]*y[:,33])
+ dfdy[indx[33], indx[28]] = -(M*k[715]*y[:,1] + k[490]*y[:,35])
+ dfdy[indx[33], indx[29]] = -(k[232]*y[:,1] + k[240]*y[:,9] + k[248]*y[:,11] + k[271]*y[:,0] + k[274]*y[:,2] + 2*k[314]*y[:,35] - k[323]*y[:,33] + k[357]*y[:,36] + k[470]*y[:,42] + k[485]*y[:,38] - k[489]*y[:,33] - k[648]*y[:,33])
dfdy[indx[33], indx[30]] = -(k[317]*y[:,35])
- dfdy[indx[33], indx[31]] = -(k[269]*y[:,2] - k[318]*y[:,33] - k[320]*y[:,33] + k[490]*y[:,35])
- dfdy[indx[33], indx[32]] = -(-k[297]*y[:,33] + k[310]*y[:,3] - k[353]*y[:,33] + k[468]*y[:,35])
- dfdy[indx[33], indx[33]] = -(-M*k[661]*y[:,0] - M*k[666] - 4*M*k[675]*y[:,33] - M*k[683]*y[:,8] - k[231]*y[:,0] - k[239]*y[:,8] - k[247]*y[:,12] - k[249]*y[:,13] - k[251]*y[:,14] - k[253]*y[:,15] - k[255]*y[:,16] - k[262]*y[:,2] - k[270]*y[:,17] - k[272]*y[:,4] - k[273]*y[:,2] - k[297]*y[:,32] - k[305]*y[:,3] - k[307]*y[:,9] - k[309]*y[:,4] - k[311]*y[:,1] - 4*k[313]*y[:,33] - k[316]*y[:,7] - k[318]*y[:,31] - k[320]*y[:,31] - k[325]*y[:,29] - k[327]*y[:,37] - k[329]*y[:,39] - k[351]*y[:,38] - k[353]*y[:,32] - k[360]*y[:,38] - k[366]*y[:,17] - k[373]*y[:,8] - 4*k[377]*y[:,33] - k[401]*y[:,25] - k[411]*y[:,43] - k[417]*y[:,40] - k[423]*y[:,48] - k[426]*y[:,15] - k[428]*y[:,19] - k[433]*y[:,8] - k[435]*y[:,8] - 4*k[440]*y[:,33] - k[467]*y[:,41] - k[471]*y[:,51] - k[488]*y[:,37] - k[489]*y[:,36] - k[491]*y[:,29] - k[493]*y[:,4] - k[549]*y[:,52] - k[584]*y[:,2] - k[604]*y[:,29] - k[786]*y[:,0])
- dfdy[indx[33], indx[34]] = -(k[298]*y[:,1] + k[352]*y[:,35])
- dfdy[indx[33], indx[35]] = -(M*k[662] + k[250]*y[:,11] + k[252]*y[:,13] + k[254]*y[:,14] + k[256]*y[:,15] + k[261]*y[:,4] + k[306]*y[:,0] + k[308]*y[:,8] + k[312]*y[:,2] + 2*k[314]*y[:,29] + k[315]*y[:,5] + k[317]*y[:,30] + k[328]*y[:,38] + k[330]*y[:,37] + k[352]*y[:,34] + k[374]*y[:,7] + k[418]*y[:,39] + k[424]*y[:,46] + k[468]*y[:,32] + k[490]*y[:,31] + k[492]*y[:,28] + k[550]*y[:,25] + k[583]*y[:,60] + k[603]*y[:,62] + k[785])
- dfdy[indx[33], indx[36]] = -(k[319]*y[:,29] - k[489]*y[:,33])
- dfdy[indx[33], indx[37]] = -(k[326]*y[:,0] - k[327]*y[:,33] + k[330]*y[:,35] + k[359]*y[:,29] + 2*k[378]*y[:,3] - k[488]*y[:,33])
- dfdy[indx[33], indx[38]] = -(k[328]*y[:,35] - k[351]*y[:,33] + k[354]*y[:,2] - k[360]*y[:,33])
- dfdy[indx[33], indx[39]] = -(-k[329]*y[:,33] + k[418]*y[:,35] + 2*k[439]*y[:,0] + k[487]*y[:,29])
- dfdy[indx[33], indx[40]] = -(2*M*k[676] - k[417]*y[:,33])
- dfdy[indx[33], indx[41]] = -(k[402]*y[:,2] - k[467]*y[:,33] + k[494]*y[:,0])
- dfdy[indx[33], indx[42]] = -(k[365]*y[:,0] + k[472]*y[:,29])
- dfdy[indx[33], indx[43]] = -(-k[411]*y[:,33])
- dfdy[indx[33], indx[44]] = -(k[412]*y[:,1])
+ dfdy[indx[33], indx[31]] = -(k[269]*y[:,0] - k[318]*y[:,33] + k[488]*y[:,35])
+ dfdy[indx[33], indx[32]] = -(-k[297]*y[:,33] + k[310]*y[:,1] - k[351]*y[:,33] + k[466]*y[:,35])
+ dfdy[indx[33], indx[33]] = -(-M*k[711]*y[:,3] - M*k[716] - 4*M*k[725]*y[:,33] - M*k[733]*y[:,8] - k[231]*y[:,3] - k[239]*y[:,8] - k[247]*y[:,12] - k[249]*y[:,13] - k[251]*y[:,14] - k[253]*y[:,15] - k[255]*y[:,16] - k[262]*y[:,0] - k[270]*y[:,17] - k[272]*y[:,4] - k[273]*y[:,0] - k[297]*y[:,32] - k[305]*y[:,1] - k[307]*y[:,9] - k[309]*y[:,4] - k[312]*y[:,2] - 4*k[313]*y[:,33] - k[316]*y[:,7] - k[318]*y[:,31] - k[323]*y[:,29] - k[325]*y[:,36] - k[327]*y[:,38] - k[349]*y[:,37] - k[351]*y[:,32] - k[358]*y[:,37] - k[364]*y[:,17] - k[371]*y[:,8] - 4*k[375]*y[:,33] - k[399]*y[:,25] - k[409]*y[:,43] - k[415]*y[:,39] - k[421]*y[:,48] - k[424]*y[:,15] - k[426]*y[:,19] - k[431]*y[:,8] - k[433]*y[:,8] - 4*k[438]*y[:,33] - k[465]*y[:,40] - k[469]*y[:,51] - k[486]*y[:,36] - k[487]*y[:,41] - k[489]*y[:,29] - k[491]*y[:,4] - k[549]*y[:,52] - k[575]*y[:,35] - k[626]*y[:,0] - k[648]*y[:,29] - k[848]*y[:,3])
+ dfdy[indx[33], indx[34]] = -(k[298]*y[:,2] + k[350]*y[:,35])
+ dfdy[indx[33], indx[35]] = -(M*k[712] + k[250]*y[:,11] + k[252]*y[:,13] + k[254]*y[:,14] + k[256]*y[:,15] + k[261]*y[:,4] + k[306]*y[:,3] + k[308]*y[:,8] + k[311]*y[:,0] + 2*k[314]*y[:,29] + k[315]*y[:,5] + k[317]*y[:,30] + k[326]*y[:,37] + k[328]*y[:,36] + k[350]*y[:,34] + k[372]*y[:,7] + k[416]*y[:,38] + k[422]*y[:,46] + k[466]*y[:,32] + k[488]*y[:,31] + k[490]*y[:,28] + k[550]*y[:,25] - k[575]*y[:,33] + k[625]*y[:,65] + k[647]*y[:,67] + k[847])
+ dfdy[indx[33], indx[36]] = -(k[324]*y[:,3] - k[325]*y[:,33] + k[328]*y[:,35] + k[357]*y[:,29] + 2*k[376]*y[:,1] - k[486]*y[:,33])
+ dfdy[indx[33], indx[37]] = -(k[326]*y[:,35] - k[349]*y[:,33] + k[352]*y[:,0] - k[358]*y[:,33])
+ dfdy[indx[33], indx[38]] = -(-k[327]*y[:,33] + k[416]*y[:,35] + 2*k[437]*y[:,3] + k[485]*y[:,29] + k[576]*y[:,1])
+ dfdy[indx[33], indx[39]] = -(2*M*k[726] - k[415]*y[:,33])
+ dfdy[indx[33], indx[40]] = -(k[400]*y[:,0] - k[465]*y[:,33] + k[492]*y[:,3])
+ dfdy[indx[33], indx[41]] = -(-k[487]*y[:,33])
+ dfdy[indx[33], indx[42]] = -(k[363]*y[:,3] + k[470]*y[:,29])
+ dfdy[indx[33], indx[43]] = -(-k[409]*y[:,33])
+ dfdy[indx[33], indx[44]] = -(k[410]*y[:,2])
dfdy[indx[33], indx[45]] = -(0)
- dfdy[indx[33], indx[46]] = -(k[424]*y[:,35] + k[425]*y[:,8] + k[427]*y[:,2] + k[436]*y[:,0])
- dfdy[indx[33], indx[47]] = -(k[434]*y[:,3])
- dfdy[indx[33], indx[48]] = -(M*k[684] - k[423]*y[:,33])
+ dfdy[indx[33], indx[46]] = -(k[422]*y[:,35] + k[423]*y[:,8] + k[425]*y[:,0] + k[434]*y[:,3])
+ dfdy[indx[33], indx[47]] = -(k[432]*y[:,1])
+ dfdy[indx[33], indx[48]] = -(M*k[734] - k[421]*y[:,33])
dfdy[indx[33], indx[49]] = -(0)
dfdy[indx[33], indx[50]] = -(0)
- dfdy[indx[33], indx[51]] = -(-k[471]*y[:,33])
+ dfdy[indx[33], indx[51]] = -(-k[469]*y[:,33])
dfdy[indx[33], indx[52]] = -(-k[549]*y[:,33])
dfdy[indx[33], indx[53]] = -(0)
dfdy[indx[33], indx[54]] = -(0)
@@ -9664,16 +10574,20 @@ def neg_symjac(y, M, k):
dfdy[indx[33], indx[57]] = -(0)
dfdy[indx[33], indx[58]] = -(0)
dfdy[indx[33], indx[59]] = -(0)
- dfdy[indx[33], indx[60]] = -(k[583]*y[:,35])
+ dfdy[indx[33], indx[60]] = -(0)
dfdy[indx[33], indx[61]] = -(0)
- dfdy[indx[33], indx[62]] = -(k[603]*y[:,35])
+ dfdy[indx[33], indx[62]] = -(0)
dfdy[indx[33], indx[63]] = -(0)
dfdy[indx[33], indx[64]] = -(0)
- dfdy[indx[34], indx[0]] = -(-M*k[682]*y[:,34] - k[282]*y[:,34] + k[345]*y[:,38] + k[407]*y[:,44])
- dfdy[indx[34], indx[1]] = -(-k[298]*y[:,34] - k[348]*y[:,34])
- dfdy[indx[34], indx[2]] = -(-k[296]*y[:,34] + k[347]*y[:,38] - k[350]*y[:,34] - k[408]*y[:,34])
- dfdy[indx[34], indx[3]] = -(-k[304]*y[:,34] - k[346]*y[:,34])
- dfdy[indx[34], indx[4]] = -(-M*k[680]*y[:,34] - k[280]*y[:,34] + k[349]*y[:,38] + k[405]*y[:,44])
+ dfdy[indx[33], indx[65]] = -(k[625]*y[:,35])
+ dfdy[indx[33], indx[66]] = -(0)
+ dfdy[indx[33], indx[67]] = -(k[647]*y[:,35])
+ dfdy[indx[33], indx[68]] = -(0)
+ dfdy[indx[34], indx[0]] = -(-k[296]*y[:,34] + k[345]*y[:,37] - k[348]*y[:,34] - k[406]*y[:,34])
+ dfdy[indx[34], indx[1]] = -(-k[304]*y[:,34] - k[344]*y[:,34])
+ dfdy[indx[34], indx[2]] = -(-k[298]*y[:,34] - k[346]*y[:,34])
+ dfdy[indx[34], indx[3]] = -(-M*k[732]*y[:,34] - k[282]*y[:,34] + k[343]*y[:,37] + k[405]*y[:,44])
+ dfdy[indx[34], indx[4]] = -(-M*k[730]*y[:,34] - k[280]*y[:,34] + k[347]*y[:,37] + k[403]*y[:,44])
dfdy[indx[34], indx[5]] = -(0)
dfdy[indx[34], indx[6]] = -(-k[284]*y[:,34])
dfdy[indx[34], indx[7]] = -(-k[285]*y[:,34])
@@ -9694,26 +10608,26 @@ def neg_symjac(y, M, k):
dfdy[indx[34], indx[22]] = -(0)
dfdy[indx[34], indx[23]] = -(0)
dfdy[indx[34], indx[24]] = -(0)
- dfdy[indx[34], indx[25]] = -(-k[406]*y[:,34])
+ dfdy[indx[34], indx[25]] = -(-k[404]*y[:,34])
dfdy[indx[34], indx[26]] = -(0)
dfdy[indx[34], indx[27]] = -(0)
- dfdy[indx[34], indx[28]] = -(2*M*k[667]*y[:,28] + k[279]*y[:,32] + k[281]*y[:,29] + k[283]*y[:,30] + 2*k[784]*y[:,28])
+ dfdy[indx[34], indx[28]] = -(2*M*k[717]*y[:,28] + k[279]*y[:,32] + k[281]*y[:,29] + k[283]*y[:,30] + 2*k[846]*y[:,28])
dfdy[indx[34], indx[29]] = -(k[281]*y[:,28] + k[286]*y[:,31] + k[295]*y[:,32] + 2*k[303]*y[:,29])
dfdy[indx[34], indx[30]] = -(2*k[246]*y[:,30] + k[283]*y[:,28] + k[299]*y[:,32])
dfdy[indx[34], indx[31]] = -(k[286]*y[:,29])
- dfdy[indx[34], indx[32]] = -(k[279]*y[:,28] + k[295]*y[:,29] + k[297]*y[:,33] + k[299]*y[:,30] + k[355]*y[:,38])
- dfdy[indx[34], indx[33]] = -(k[297]*y[:,32] + k[351]*y[:,38])
- dfdy[indx[34], indx[34]] = -(-M*k[668] - M*k[680]*y[:,4] - M*k[682]*y[:,0] - k[245]*y[:,10] - k[280]*y[:,4] - k[282]*y[:,0] - k[284]*y[:,6] - k[285]*y[:,7] - k[296]*y[:,2] - k[298]*y[:,1] - k[300]*y[:,17] - k[304]*y[:,3] - k[346]*y[:,3] - k[348]*y[:,1] - k[350]*y[:,2] - k[352]*y[:,35] - k[356]*y[:,41] - k[406]*y[:,25] - k[408]*y[:,2] - k[783])
- dfdy[indx[34], indx[35]] = -(-k[352]*y[:,34])
+ dfdy[indx[34], indx[32]] = -(k[279]*y[:,28] + k[295]*y[:,29] + k[297]*y[:,33] + k[299]*y[:,30] + k[353]*y[:,37] - k[652]*y[:,34])
+ dfdy[indx[34], indx[33]] = -(k[297]*y[:,32] + k[349]*y[:,37])
+ dfdy[indx[34], indx[34]] = -(-M*k[718] - M*k[730]*y[:,4] - M*k[732]*y[:,3] - k[245]*y[:,10] - k[280]*y[:,4] - k[282]*y[:,3] - k[284]*y[:,6] - k[285]*y[:,7] - k[296]*y[:,0] - k[298]*y[:,2] - k[300]*y[:,17] - k[304]*y[:,1] - k[344]*y[:,1] - k[346]*y[:,2] - k[348]*y[:,0] - k[350]*y[:,35] - k[354]*y[:,40] - k[404]*y[:,25] - k[406]*y[:,0] - k[652]*y[:,32] - k[845])
+ dfdy[indx[34], indx[35]] = -(-k[350]*y[:,34])
dfdy[indx[34], indx[36]] = -(0)
- dfdy[indx[34], indx[37]] = -(0)
- dfdy[indx[34], indx[38]] = -(M*k[681] + k[345]*y[:,0] + k[347]*y[:,2] + k[349]*y[:,4] + k[351]*y[:,33] + k[355]*y[:,32])
+ dfdy[indx[34], indx[37]] = -(M*k[731] + k[343]*y[:,3] + k[345]*y[:,0] + k[347]*y[:,4] + k[349]*y[:,33] + k[353]*y[:,32])
+ dfdy[indx[34], indx[38]] = -(0)
dfdy[indx[34], indx[39]] = -(0)
- dfdy[indx[34], indx[40]] = -(0)
- dfdy[indx[34], indx[41]] = -(-k[356]*y[:,34])
+ dfdy[indx[34], indx[40]] = -(-k[354]*y[:,34])
+ dfdy[indx[34], indx[41]] = -(0)
dfdy[indx[34], indx[42]] = -(0)
dfdy[indx[34], indx[43]] = -(0)
- dfdy[indx[34], indx[44]] = -(M*k[679] + k[405]*y[:,4] + k[407]*y[:,0])
+ dfdy[indx[34], indx[44]] = -(M*k[729] + k[403]*y[:,4] + k[405]*y[:,3] + k[651]*y[:,67])
dfdy[indx[34], indx[45]] = -(0)
dfdy[indx[34], indx[46]] = -(0)
dfdy[indx[34], indx[47]] = -(0)
@@ -9734,15 +10648,19 @@ def neg_symjac(y, M, k):
dfdy[indx[34], indx[62]] = -(0)
dfdy[indx[34], indx[63]] = -(0)
dfdy[indx[34], indx[64]] = -(0)
- dfdy[indx[35], indx[0]] = -(M*k[661]*y[:,33] - k[306]*y[:,35] + k[786]*y[:,33] + 2*k[788]*y[:,0]*y[:,29])
- dfdy[indx[35], indx[1]] = -(k[311]*y[:,33])
- dfdy[indx[35], indx[2]] = -(k[262]*y[:,33] - k[312]*y[:,35] + k[584]*y[:,33])
- dfdy[indx[35], indx[3]] = -(k[305]*y[:,33] + k[552]*y[:,38])
+ dfdy[indx[34], indx[65]] = -(0)
+ dfdy[indx[34], indx[66]] = -(0)
+ dfdy[indx[34], indx[67]] = -(k[651]*y[:,44])
+ dfdy[indx[34], indx[68]] = -(0)
+ dfdy[indx[35], indx[0]] = -(k[262]*y[:,33] - k[311]*y[:,35] + k[626]*y[:,33])
+ dfdy[indx[35], indx[1]] = -(k[305]*y[:,33] + k[552]*y[:,37] + k[576]*y[:,38])
+ dfdy[indx[35], indx[2]] = -(k[312]*y[:,33])
+ dfdy[indx[35], indx[3]] = -(M*k[711]*y[:,33] - k[306]*y[:,35] + k[848]*y[:,33] + 2*k[850]*y[:,29]*y[:,3])
dfdy[indx[35], indx[4]] = -(-k[261]*y[:,35])
dfdy[indx[35], indx[5]] = -(-k[315]*y[:,35])
dfdy[indx[35], indx[6]] = -(0)
- dfdy[indx[35], indx[7]] = -(k[316]*y[:,33] - k[374]*y[:,35])
- dfdy[indx[35], indx[8]] = -(-k[308]*y[:,35] + k[373]*y[:,33])
+ dfdy[indx[35], indx[7]] = -(k[316]*y[:,33] - k[372]*y[:,35])
+ dfdy[indx[35], indx[8]] = -(-k[308]*y[:,35] + k[371]*y[:,33])
dfdy[indx[35], indx[9]] = -(k[307]*y[:,33])
dfdy[indx[35], indx[10]] = -(0)
dfdy[indx[35], indx[11]] = -(-k[250]*y[:,35])
@@ -9762,27 +10680,27 @@ def neg_symjac(y, M, k):
dfdy[indx[35], indx[25]] = -(-k[550]*y[:,35])
dfdy[indx[35], indx[26]] = -(0)
dfdy[indx[35], indx[27]] = -(0)
- dfdy[indx[35], indx[28]] = -(-k[492]*y[:,35] - k[551]*y[:,35])
- dfdy[indx[35], indx[29]] = -(-k[314]*y[:,35] + k[491]*y[:,33] + k[604]*y[:,33] + k[788]*y[:,0]**2)
+ dfdy[indx[35], indx[28]] = -(-k[490]*y[:,35] - k[551]*y[:,35])
+ dfdy[indx[35], indx[29]] = -(-k[314]*y[:,35] + k[489]*y[:,33] + k[648]*y[:,33] + k[850]*y[:,3]**2)
dfdy[indx[35], indx[30]] = -(-k[317]*y[:,35])
- dfdy[indx[35], indx[31]] = -(k[318]*y[:,33] - k[490]*y[:,35])
- dfdy[indx[35], indx[32]] = -(-k[468]*y[:,35])
- dfdy[indx[35], indx[33]] = -(M*k[661]*y[:,0] + k[249]*y[:,13] + k[251]*y[:,14] + k[253]*y[:,15] + k[255]*y[:,16] + k[262]*y[:,2] + k[305]*y[:,3] + k[307]*y[:,9] + k[311]*y[:,1] + 2*k[313]*y[:,33] + k[316]*y[:,7] + k[318]*y[:,31] + k[327]*y[:,37] + k[329]*y[:,39] + k[351]*y[:,38] + k[373]*y[:,8] + k[417]*y[:,40] + k[423]*y[:,48] + k[467]*y[:,41] + k[489]*y[:,36] + k[491]*y[:,29] + k[549]*y[:,52] + k[584]*y[:,2] + k[604]*y[:,29] + k[786]*y[:,0])
- dfdy[indx[35], indx[34]] = -(-k[352]*y[:,35])
- dfdy[indx[35], indx[35]] = -(-M*k[662] - k[250]*y[:,11] - k[252]*y[:,13] - k[254]*y[:,14] - k[256]*y[:,15] - k[261]*y[:,4] - k[306]*y[:,0] - k[308]*y[:,8] - k[312]*y[:,2] - k[314]*y[:,29] - k[315]*y[:,5] - k[317]*y[:,30] - k[328]*y[:,38] - k[330]*y[:,37] - k[352]*y[:,34] - k[374]*y[:,7] - k[418]*y[:,39] - k[424]*y[:,46] - k[468]*y[:,32] - k[490]*y[:,31] - k[492]*y[:,28] - k[550]*y[:,25] - k[551]*y[:,28] - k[583]*y[:,60] - k[603]*y[:,62] - k[785] - k[787])
- dfdy[indx[35], indx[36]] = -(k[489]*y[:,33])
- dfdy[indx[35], indx[37]] = -(k[327]*y[:,33] - k[330]*y[:,35])
- dfdy[indx[35], indx[38]] = -(-k[328]*y[:,35] + k[351]*y[:,33] + k[552]*y[:,3])
- dfdy[indx[35], indx[39]] = -(k[329]*y[:,33] - k[418]*y[:,35])
- dfdy[indx[35], indx[40]] = -(k[417]*y[:,33])
- dfdy[indx[35], indx[41]] = -(k[467]*y[:,33])
+ dfdy[indx[35], indx[31]] = -(k[318]*y[:,33] - k[488]*y[:,35])
+ dfdy[indx[35], indx[32]] = -(-k[466]*y[:,35])
+ dfdy[indx[35], indx[33]] = -(M*k[711]*y[:,3] + k[249]*y[:,13] + k[251]*y[:,14] + k[253]*y[:,15] + k[255]*y[:,16] + k[262]*y[:,0] + k[305]*y[:,1] + k[307]*y[:,9] + k[312]*y[:,2] + 2*k[313]*y[:,33] + k[316]*y[:,7] + k[318]*y[:,31] + k[325]*y[:,36] + k[327]*y[:,38] + k[349]*y[:,37] + k[371]*y[:,8] + k[415]*y[:,39] + k[421]*y[:,48] + k[465]*y[:,40] + k[487]*y[:,41] + k[489]*y[:,29] + k[549]*y[:,52] - k[575]*y[:,35] + k[626]*y[:,0] + k[648]*y[:,29] + k[848]*y[:,3])
+ dfdy[indx[35], indx[34]] = -(-k[350]*y[:,35])
+ dfdy[indx[35], indx[35]] = -(-M*k[712] - k[250]*y[:,11] - k[252]*y[:,13] - k[254]*y[:,14] - k[256]*y[:,15] - k[261]*y[:,4] - k[306]*y[:,3] - k[308]*y[:,8] - k[311]*y[:,0] - k[314]*y[:,29] - k[315]*y[:,5] - k[317]*y[:,30] - k[326]*y[:,37] - k[328]*y[:,36] - k[350]*y[:,34] - k[372]*y[:,7] - k[416]*y[:,38] - k[422]*y[:,46] - k[466]*y[:,32] - k[488]*y[:,31] - k[490]*y[:,28] - k[550]*y[:,25] - k[551]*y[:,28] - k[575]*y[:,33] - k[625]*y[:,65] - k[647]*y[:,67] - k[847] - k[849])
+ dfdy[indx[35], indx[36]] = -(k[325]*y[:,33] - k[328]*y[:,35])
+ dfdy[indx[35], indx[37]] = -(-k[326]*y[:,35] + k[349]*y[:,33] + k[552]*y[:,1])
+ dfdy[indx[35], indx[38]] = -(k[327]*y[:,33] - k[416]*y[:,35] + k[576]*y[:,1])
+ dfdy[indx[35], indx[39]] = -(k[415]*y[:,33])
+ dfdy[indx[35], indx[40]] = -(k[465]*y[:,33])
+ dfdy[indx[35], indx[41]] = -(k[487]*y[:,33])
dfdy[indx[35], indx[42]] = -(0)
dfdy[indx[35], indx[43]] = -(0)
dfdy[indx[35], indx[44]] = -(0)
dfdy[indx[35], indx[45]] = -(0)
- dfdy[indx[35], indx[46]] = -(-k[424]*y[:,35])
+ dfdy[indx[35], indx[46]] = -(-k[422]*y[:,35])
dfdy[indx[35], indx[47]] = -(0)
- dfdy[indx[35], indx[48]] = -(k[423]*y[:,33])
+ dfdy[indx[35], indx[48]] = -(k[421]*y[:,33])
dfdy[indx[35], indx[49]] = -(0)
dfdy[indx[35], indx[50]] = -(0)
dfdy[indx[35], indx[51]] = -(0)
@@ -9794,21 +10712,25 @@ def neg_symjac(y, M, k):
dfdy[indx[35], indx[57]] = -(0)
dfdy[indx[35], indx[58]] = -(0)
dfdy[indx[35], indx[59]] = -(0)
- dfdy[indx[35], indx[60]] = -(-k[583]*y[:,35])
+ dfdy[indx[35], indx[60]] = -(0)
dfdy[indx[35], indx[61]] = -(0)
- dfdy[indx[35], indx[62]] = -(-k[603]*y[:,35])
+ dfdy[indx[35], indx[62]] = -(0)
dfdy[indx[35], indx[63]] = -(0)
dfdy[indx[35], indx[64]] = -(0)
- dfdy[indx[36], indx[0]] = -(M*k[671]*y[:,31] - k[370]*y[:,36] + k[431]*y[:,47] - k[523]*y[:,36])
- dfdy[indx[36], indx[1]] = -(k[362]*y[:,31])
- dfdy[indx[36], indx[2]] = -(-k[361]*y[:,36] - k[380]*y[:,36])
- dfdy[indx[36], indx[3]] = -(-k[432]*y[:,36] + k[524]*y[:,31])
- dfdy[indx[36], indx[4]] = -(0)
+ dfdy[indx[35], indx[65]] = -(-k[625]*y[:,35])
+ dfdy[indx[35], indx[66]] = -(0)
+ dfdy[indx[35], indx[67]] = -(-k[647]*y[:,35])
+ dfdy[indx[35], indx[68]] = -(0)
+ dfdy[indx[36], indx[0]] = -(-k[333]*y[:,36] - k[338]*y[:,36] + k[339]*y[:,38] + k[356]*y[:,37])
+ dfdy[indx[36], indx[1]] = -(k[330]*y[:,37] - k[336]*y[:,36] - k[376]*y[:,36])
+ dfdy[indx[36], indx[2]] = -(k[334]*y[:,37] - k[340]*y[:,36])
+ dfdy[indx[36], indx[3]] = -(-M*k[720]*y[:,36] + M*k[754]*y[:,37] - k[324]*y[:,36] - k[329]*y[:,36] + k[335]*y[:,38])
+ dfdy[indx[36], indx[4]] = -(k[337]*y[:,38] - k[355]*y[:,36])
dfdy[indx[36], indx[5]] = -(0)
dfdy[indx[36], indx[6]] = -(0)
dfdy[indx[36], indx[7]] = -(0)
- dfdy[indx[36], indx[8]] = -(k[369]*y[:,28] + k[379]*y[:,32])
- dfdy[indx[36], indx[9]] = -(0)
+ dfdy[indx[36], indx[8]] = -(-k[331]*y[:,36] + k[579]*y[:,38])
+ dfdy[indx[36], indx[9]] = -(k[332]*y[:,37] - k[580]*y[:,36])
dfdy[indx[36], indx[10]] = -(0)
dfdy[indx[36], indx[11]] = -(0)
dfdy[indx[36], indx[12]] = -(0)
@@ -9827,18 +10749,18 @@ def neg_symjac(y, M, k):
dfdy[indx[36], indx[25]] = -(0)
dfdy[indx[36], indx[26]] = -(0)
dfdy[indx[36], indx[27]] = -(0)
- dfdy[indx[36], indx[28]] = -(k[369]*y[:,8])
- dfdy[indx[36], indx[29]] = -(-k[319]*y[:,36])
+ dfdy[indx[36], indx[28]] = -(0)
+ dfdy[indx[36], indx[29]] = -(k[323]*y[:,33] - k[357]*y[:,36] + k[485]*y[:,38])
dfdy[indx[36], indx[30]] = -(0)
- dfdy[indx[36], indx[31]] = -(M*k[671]*y[:,0] + k[320]*y[:,33] + k[362]*y[:,1] + k[490]*y[:,35] + k[524]*y[:,3])
- dfdy[indx[36], indx[32]] = -(k[379]*y[:,8])
- dfdy[indx[36], indx[33]] = -(k[320]*y[:,31] - k[489]*y[:,36])
+ dfdy[indx[36], indx[31]] = -(0)
+ dfdy[indx[36], indx[32]] = -(0)
+ dfdy[indx[36], indx[33]] = -(k[323]*y[:,29] - k[325]*y[:,36] + k[327]*y[:,38] + k[358]*y[:,37] + 2*k[375]*y[:,33] - k[486]*y[:,36])
dfdy[indx[36], indx[34]] = -(0)
- dfdy[indx[36], indx[35]] = -(k[490]*y[:,31])
- dfdy[indx[36], indx[36]] = -(-M*k[672] - k[319]*y[:,29] - k[361]*y[:,2] - k[370]*y[:,0] - k[380]*y[:,2] - k[432]*y[:,3] - k[489]*y[:,33] - k[523]*y[:,0])
- dfdy[indx[36], indx[37]] = -(0)
- dfdy[indx[36], indx[38]] = -(0)
- dfdy[indx[36], indx[39]] = -(0)
+ dfdy[indx[36], indx[35]] = -(k[326]*y[:,37] - k[328]*y[:,36])
+ dfdy[indx[36], indx[36]] = -(-M*k[720]*y[:,3] - M*k[753] - k[324]*y[:,3] - k[325]*y[:,33] - k[328]*y[:,35] - k[329]*y[:,3] - k[331]*y[:,8] - k[333]*y[:,0] - k[336]*y[:,1] - k[338]*y[:,0] - k[340]*y[:,2] - k[342]*y[:,39] - k[355]*y[:,4] - k[357]*y[:,29] - k[376]*y[:,1] - k[486]*y[:,33] - 4*k[578]*y[:,36] - k[580]*y[:,9])
+ dfdy[indx[36], indx[37]] = -(M*k[754]*y[:,3] + k[326]*y[:,35] + k[330]*y[:,1] + k[332]*y[:,9] + k[334]*y[:,2] + k[356]*y[:,0] + k[358]*y[:,33] + 2*k[577]*y[:,38])
+ dfdy[indx[36], indx[38]] = -(M*k[719] + k[327]*y[:,33] + k[335]*y[:,3] + k[337]*y[:,4] + k[339]*y[:,0] + 2*k[341]*y[:,38] + k[485]*y[:,29] + 2*k[577]*y[:,37] + k[579]*y[:,8])
+ dfdy[indx[36], indx[39]] = -(-k[342]*y[:,36])
dfdy[indx[36], indx[40]] = -(0)
dfdy[indx[36], indx[41]] = -(0)
dfdy[indx[36], indx[42]] = -(0)
@@ -9846,7 +10768,7 @@ def neg_symjac(y, M, k):
dfdy[indx[36], indx[44]] = -(0)
dfdy[indx[36], indx[45]] = -(0)
dfdy[indx[36], indx[46]] = -(0)
- dfdy[indx[36], indx[47]] = -(k[431]*y[:,0])
+ dfdy[indx[36], indx[47]] = -(0)
dfdy[indx[36], indx[48]] = -(0)
dfdy[indx[36], indx[49]] = -(0)
dfdy[indx[36], indx[50]] = -(0)
@@ -9864,16 +10786,20 @@ def neg_symjac(y, M, k):
dfdy[indx[36], indx[62]] = -(0)
dfdy[indx[36], indx[63]] = -(0)
dfdy[indx[36], indx[64]] = -(0)
- dfdy[indx[37], indx[0]] = -(-M*k[670]*y[:,37] + M*k[712]*y[:,38] - k[326]*y[:,37] - k[331]*y[:,37] + k[337]*y[:,39])
- dfdy[indx[37], indx[1]] = -(k[336]*y[:,38] - k[342]*y[:,37])
- dfdy[indx[37], indx[2]] = -(-k[335]*y[:,37] - k[340]*y[:,37] + k[341]*y[:,39] + k[358]*y[:,38])
- dfdy[indx[37], indx[3]] = -(k[332]*y[:,38] - k[338]*y[:,37] - k[378]*y[:,37])
- dfdy[indx[37], indx[4]] = -(k[339]*y[:,39] - k[357]*y[:,37])
+ dfdy[indx[36], indx[65]] = -(0)
+ dfdy[indx[36], indx[66]] = -(0)
+ dfdy[indx[36], indx[67]] = -(0)
+ dfdy[indx[36], indx[68]] = -(0)
+ dfdy[indx[37], indx[0]] = -(k[333]*y[:,36] - k[345]*y[:,37] + k[348]*y[:,34] - k[352]*y[:,37] - k[356]*y[:,37])
+ dfdy[indx[37], indx[1]] = -(-k[330]*y[:,37] + k[344]*y[:,34] - k[552]*y[:,37])
+ dfdy[indx[37], indx[2]] = -(-k[334]*y[:,37] + k[346]*y[:,34])
+ dfdy[indx[37], indx[3]] = -(M*k[732]*y[:,34] - M*k[754]*y[:,37] + k[329]*y[:,36] - k[343]*y[:,37])
+ dfdy[indx[37], indx[4]] = -(-k[347]*y[:,37] + k[355]*y[:,36] - k[373]*y[:,37])
dfdy[indx[37], indx[5]] = -(0)
dfdy[indx[37], indx[6]] = -(0)
dfdy[indx[37], indx[7]] = -(0)
- dfdy[indx[37], indx[8]] = -(-k[333]*y[:,37])
- dfdy[indx[37], indx[9]] = -(k[334]*y[:,38])
+ dfdy[indx[37], indx[8]] = -(k[331]*y[:,36])
+ dfdy[indx[37], indx[9]] = -(-k[332]*y[:,37])
dfdy[indx[37], indx[10]] = -(0)
dfdy[indx[37], indx[11]] = -(0)
dfdy[indx[37], indx[12]] = -(0)
@@ -9892,19 +10818,19 @@ def neg_symjac(y, M, k):
dfdy[indx[37], indx[25]] = -(0)
dfdy[indx[37], indx[26]] = -(0)
dfdy[indx[37], indx[27]] = -(0)
- dfdy[indx[37], indx[28]] = -(0)
- dfdy[indx[37], indx[29]] = -(k[325]*y[:,33] - k[359]*y[:,37] + k[487]*y[:,39])
+ dfdy[indx[37], indx[28]] = -(k[551]*y[:,35])
+ dfdy[indx[37], indx[29]] = -(k[357]*y[:,36] + k[374]*y[:,32])
dfdy[indx[37], indx[30]] = -(0)
dfdy[indx[37], indx[31]] = -(0)
- dfdy[indx[37], indx[32]] = -(0)
- dfdy[indx[37], indx[33]] = -(k[325]*y[:,29] - k[327]*y[:,37] + k[329]*y[:,39] + k[360]*y[:,38] + 2*k[377]*y[:,33] - k[488]*y[:,37])
- dfdy[indx[37], indx[34]] = -(0)
- dfdy[indx[37], indx[35]] = -(k[328]*y[:,38] - k[330]*y[:,37])
- dfdy[indx[37], indx[36]] = -(0)
- dfdy[indx[37], indx[37]] = -(-M*k[670]*y[:,0] - M*k[711] - k[326]*y[:,0] - k[327]*y[:,33] - k[330]*y[:,35] - k[331]*y[:,0] - k[333]*y[:,8] - k[335]*y[:,2] - k[338]*y[:,3] - k[340]*y[:,2] - k[342]*y[:,1] - k[344]*y[:,40] - k[357]*y[:,4] - k[359]*y[:,29] - k[378]*y[:,3] - k[488]*y[:,33])
- dfdy[indx[37], indx[38]] = -(M*k[712]*y[:,0] + k[328]*y[:,35] + k[332]*y[:,3] + k[334]*y[:,9] + k[336]*y[:,1] + k[358]*y[:,2] + k[360]*y[:,33])
- dfdy[indx[37], indx[39]] = -(M*k[669] + k[329]*y[:,33] + k[337]*y[:,0] + k[339]*y[:,4] + k[341]*y[:,2] + 2*k[343]*y[:,39] + k[487]*y[:,29])
- dfdy[indx[37], indx[40]] = -(-k[344]*y[:,37])
+ dfdy[indx[37], indx[32]] = -(k[351]*y[:,33] - k[353]*y[:,37] + k[374]*y[:,29])
+ dfdy[indx[37], indx[33]] = -(k[325]*y[:,36] - k[349]*y[:,37] + k[351]*y[:,32] - k[358]*y[:,37])
+ dfdy[indx[37], indx[34]] = -(M*k[732]*y[:,3] + k[344]*y[:,1] + k[346]*y[:,2] + k[348]*y[:,0] + k[350]*y[:,35] + k[354]*y[:,40])
+ dfdy[indx[37], indx[35]] = -(-k[326]*y[:,37] + k[350]*y[:,34] + k[551]*y[:,28])
+ dfdy[indx[37], indx[36]] = -(M*k[753] + k[325]*y[:,33] + k[329]*y[:,3] + k[331]*y[:,8] + k[333]*y[:,0] + k[355]*y[:,4] + k[357]*y[:,29] + 2*k[578]*y[:,36])
+ dfdy[indx[37], indx[37]] = -(-M*k[731] - M*k[754]*y[:,3] - k[326]*y[:,35] - k[330]*y[:,1] - k[332]*y[:,9] - k[334]*y[:,2] - k[343]*y[:,3] - k[345]*y[:,0] - k[347]*y[:,4] - k[349]*y[:,33] - k[352]*y[:,0] - k[353]*y[:,32] - k[356]*y[:,0] - k[358]*y[:,33] - k[373]*y[:,4] - k[552]*y[:,1] - k[577]*y[:,38])
+ dfdy[indx[37], indx[38]] = -(-k[577]*y[:,37])
+ dfdy[indx[37], indx[39]] = -(0)
+ dfdy[indx[37], indx[40]] = -(k[354]*y[:,34])
dfdy[indx[37], indx[41]] = -(0)
dfdy[indx[37], indx[42]] = -(0)
dfdy[indx[37], indx[43]] = -(0)
@@ -9929,16 +10855,20 @@ def neg_symjac(y, M, k):
dfdy[indx[37], indx[62]] = -(0)
dfdy[indx[37], indx[63]] = -(0)
dfdy[indx[37], indx[64]] = -(0)
- dfdy[indx[38], indx[0]] = -(M*k[682]*y[:,34] - M*k[712]*y[:,38] + k[331]*y[:,37] - k[345]*y[:,38])
- dfdy[indx[38], indx[1]] = -(-k[336]*y[:,38] + k[348]*y[:,34])
- dfdy[indx[38], indx[2]] = -(k[335]*y[:,37] - k[347]*y[:,38] + k[350]*y[:,34] - k[354]*y[:,38] - k[358]*y[:,38])
- dfdy[indx[38], indx[3]] = -(-k[332]*y[:,38] + k[346]*y[:,34] - k[552]*y[:,38])
- dfdy[indx[38], indx[4]] = -(-k[349]*y[:,38] + k[357]*y[:,37] - k[375]*y[:,38])
+ dfdy[indx[37], indx[65]] = -(0)
+ dfdy[indx[37], indx[66]] = -(0)
+ dfdy[indx[37], indx[67]] = -(0)
+ dfdy[indx[37], indx[68]] = -(0)
+ dfdy[indx[38], indx[0]] = -(k[338]*y[:,36] - k[339]*y[:,38])
+ dfdy[indx[38], indx[1]] = -(k[336]*y[:,36] - k[380]*y[:,38] - k[576]*y[:,38])
+ dfdy[indx[38], indx[2]] = -(k[340]*y[:,36])
+ dfdy[indx[38], indx[3]] = -(M*k[720]*y[:,36] - k[335]*y[:,38] + k[379]*y[:,39] - k[437]*y[:,38] - k[858]*y[:,38])
+ dfdy[indx[38], indx[4]] = -(-k[337]*y[:,38])
dfdy[indx[38], indx[5]] = -(0)
dfdy[indx[38], indx[6]] = -(0)
dfdy[indx[38], indx[7]] = -(0)
- dfdy[indx[38], indx[8]] = -(k[333]*y[:,37])
- dfdy[indx[38], indx[9]] = -(-k[334]*y[:,38])
+ dfdy[indx[38], indx[8]] = -(-k[579]*y[:,38])
+ dfdy[indx[38], indx[9]] = -(k[580]*y[:,36])
dfdy[indx[38], indx[10]] = -(0)
dfdy[indx[38], indx[11]] = -(0)
dfdy[indx[38], indx[12]] = -(0)
@@ -9957,20 +10887,20 @@ def neg_symjac(y, M, k):
dfdy[indx[38], indx[25]] = -(0)
dfdy[indx[38], indx[26]] = -(0)
dfdy[indx[38], indx[27]] = -(0)
- dfdy[indx[38], indx[28]] = -(k[551]*y[:,35])
- dfdy[indx[38], indx[29]] = -(k[359]*y[:,37] + k[376]*y[:,32])
+ dfdy[indx[38], indx[28]] = -(0)
+ dfdy[indx[38], indx[29]] = -(-k[485]*y[:,38])
dfdy[indx[38], indx[30]] = -(0)
dfdy[indx[38], indx[31]] = -(0)
- dfdy[indx[38], indx[32]] = -(k[353]*y[:,33] - k[355]*y[:,38] + k[376]*y[:,29])
- dfdy[indx[38], indx[33]] = -(k[327]*y[:,37] - k[351]*y[:,38] + k[353]*y[:,32] - k[360]*y[:,38])
- dfdy[indx[38], indx[34]] = -(M*k[682]*y[:,0] + k[346]*y[:,3] + k[348]*y[:,1] + k[350]*y[:,2] + k[352]*y[:,35] + k[356]*y[:,41])
- dfdy[indx[38], indx[35]] = -(-k[328]*y[:,38] + k[352]*y[:,34] + k[551]*y[:,28])
- dfdy[indx[38], indx[36]] = -(0)
- dfdy[indx[38], indx[37]] = -(M*k[711] + k[327]*y[:,33] + k[331]*y[:,0] + k[333]*y[:,8] + k[335]*y[:,2] + k[357]*y[:,4] + k[359]*y[:,29])
- dfdy[indx[38], indx[38]] = -(-M*k[681] - M*k[712]*y[:,0] - k[328]*y[:,35] - k[332]*y[:,3] - k[334]*y[:,9] - k[336]*y[:,1] - k[345]*y[:,0] - k[347]*y[:,2] - k[349]*y[:,4] - k[351]*y[:,33] - k[354]*y[:,2] - k[355]*y[:,32] - k[358]*y[:,2] - k[360]*y[:,33] - k[375]*y[:,4] - k[552]*y[:,3])
- dfdy[indx[38], indx[39]] = -(0)
+ dfdy[indx[38], indx[32]] = -(0)
+ dfdy[indx[38], indx[33]] = -(-k[327]*y[:,38] + k[415]*y[:,39] + 2*k[438]*y[:,33] + k[486]*y[:,36] + k[575]*y[:,35])
+ dfdy[indx[38], indx[34]] = -(0)
+ dfdy[indx[38], indx[35]] = -(k[328]*y[:,36] - k[416]*y[:,38] + k[575]*y[:,33])
+ dfdy[indx[38], indx[36]] = -(M*k[720]*y[:,3] + k[328]*y[:,35] + k[336]*y[:,1] + k[338]*y[:,0] + k[340]*y[:,2] + 2*k[342]*y[:,39] + k[486]*y[:,33] + 2*k[578]*y[:,36] + k[580]*y[:,9])
+ dfdy[indx[38], indx[37]] = -(-k[577]*y[:,38])
+ dfdy[indx[38], indx[38]] = -(-M*k[719] - k[327]*y[:,33] - k[335]*y[:,3] - k[337]*y[:,4] - k[339]*y[:,0] - 4*k[341]*y[:,38] - k[380]*y[:,1] - k[416]*y[:,35] - k[437]*y[:,3] - k[485]*y[:,29] - k[576]*y[:,1] - k[577]*y[:,37] - k[579]*y[:,8] - k[858]*y[:,3])
+ dfdy[indx[38], indx[39]] = -(2*k[342]*y[:,36] + k[379]*y[:,3] + k[415]*y[:,33] + k[857])
dfdy[indx[38], indx[40]] = -(0)
- dfdy[indx[38], indx[41]] = -(k[356]*y[:,34])
+ dfdy[indx[38], indx[41]] = -(0)
dfdy[indx[38], indx[42]] = -(0)
dfdy[indx[38], indx[43]] = -(0)
dfdy[indx[38], indx[44]] = -(0)
@@ -9994,11 +10924,15 @@ def neg_symjac(y, M, k):
dfdy[indx[38], indx[62]] = -(0)
dfdy[indx[38], indx[63]] = -(0)
dfdy[indx[38], indx[64]] = -(0)
- dfdy[indx[39], indx[0]] = -(M*k[670]*y[:,37] - k[337]*y[:,39] + k[381]*y[:,40] - k[439]*y[:,39] - k[796]*y[:,39])
- dfdy[indx[39], indx[1]] = -(k[342]*y[:,37])
- dfdy[indx[39], indx[2]] = -(k[340]*y[:,37] - k[341]*y[:,39])
- dfdy[indx[39], indx[3]] = -(k[338]*y[:,37] - k[382]*y[:,39])
- dfdy[indx[39], indx[4]] = -(-k[339]*y[:,39])
+ dfdy[indx[38], indx[65]] = -(0)
+ dfdy[indx[38], indx[66]] = -(0)
+ dfdy[indx[38], indx[67]] = -(0)
+ dfdy[indx[38], indx[68]] = -(0)
+ dfdy[indx[39], indx[0]] = -(0)
+ dfdy[indx[39], indx[1]] = -(k[380]*y[:,38])
+ dfdy[indx[39], indx[2]] = -(0)
+ dfdy[indx[39], indx[3]] = -(-k[379]*y[:,39] + k[858]*y[:,38])
+ dfdy[indx[39], indx[4]] = -(0)
dfdy[indx[39], indx[5]] = -(0)
dfdy[indx[39], indx[6]] = -(0)
dfdy[indx[39], indx[7]] = -(0)
@@ -10023,18 +10957,18 @@ def neg_symjac(y, M, k):
dfdy[indx[39], indx[26]] = -(0)
dfdy[indx[39], indx[27]] = -(0)
dfdy[indx[39], indx[28]] = -(0)
- dfdy[indx[39], indx[29]] = -(-k[487]*y[:,39])
+ dfdy[indx[39], indx[29]] = -(0)
dfdy[indx[39], indx[30]] = -(0)
dfdy[indx[39], indx[31]] = -(0)
dfdy[indx[39], indx[32]] = -(0)
- dfdy[indx[39], indx[33]] = -(-k[329]*y[:,39] + k[417]*y[:,40] + 2*k[440]*y[:,33] + k[488]*y[:,37])
+ dfdy[indx[39], indx[33]] = -(2*M*k[725]*y[:,33] - k[415]*y[:,39])
dfdy[indx[39], indx[34]] = -(0)
- dfdy[indx[39], indx[35]] = -(k[330]*y[:,37] - k[418]*y[:,39])
- dfdy[indx[39], indx[36]] = -(0)
- dfdy[indx[39], indx[37]] = -(M*k[670]*y[:,0] + k[330]*y[:,35] + k[338]*y[:,3] + k[340]*y[:,2] + k[342]*y[:,1] + 2*k[344]*y[:,40] + k[488]*y[:,33])
- dfdy[indx[39], indx[38]] = -(0)
- dfdy[indx[39], indx[39]] = -(-M*k[669] - k[329]*y[:,33] - k[337]*y[:,0] - k[339]*y[:,4] - k[341]*y[:,2] - 4*k[343]*y[:,39] - k[382]*y[:,3] - k[418]*y[:,35] - k[439]*y[:,0] - k[487]*y[:,29] - k[796]*y[:,0])
- dfdy[indx[39], indx[40]] = -(2*k[344]*y[:,37] + k[381]*y[:,0] + k[417]*y[:,33] + k[795])
+ dfdy[indx[39], indx[35]] = -(k[416]*y[:,38])
+ dfdy[indx[39], indx[36]] = -(-k[342]*y[:,39])
+ dfdy[indx[39], indx[37]] = -(0)
+ dfdy[indx[39], indx[38]] = -(2*k[341]*y[:,38] + k[380]*y[:,1] + k[416]*y[:,35] + k[858]*y[:,3])
+ dfdy[indx[39], indx[39]] = -(-M*k[726] - k[342]*y[:,36] - k[379]*y[:,3] - k[415]*y[:,33] - k[857])
+ dfdy[indx[39], indx[40]] = -(0)
dfdy[indx[39], indx[41]] = -(0)
dfdy[indx[39], indx[42]] = -(0)
dfdy[indx[39], indx[43]] = -(0)
@@ -10059,11 +10993,15 @@ def neg_symjac(y, M, k):
dfdy[indx[39], indx[62]] = -(0)
dfdy[indx[39], indx[63]] = -(0)
dfdy[indx[39], indx[64]] = -(0)
- dfdy[indx[40], indx[0]] = -(-k[381]*y[:,40] + k[796]*y[:,39])
- dfdy[indx[40], indx[1]] = -(0)
- dfdy[indx[40], indx[2]] = -(0)
- dfdy[indx[40], indx[3]] = -(k[382]*y[:,39])
- dfdy[indx[40], indx[4]] = -(0)
+ dfdy[indx[39], indx[65]] = -(0)
+ dfdy[indx[39], indx[66]] = -(0)
+ dfdy[indx[39], indx[67]] = -(0)
+ dfdy[indx[39], indx[68]] = -(0)
+ dfdy[indx[40], indx[0]] = -(-k[400]*y[:,40] + k[445]*y[:,29] - k[447]*y[:,40] + k[450]*y[:,32] - k[460]*y[:,40])
+ dfdy[indx[40], indx[1]] = -(k[452]*y[:,32] - k[493]*y[:,40])
+ dfdy[indx[40], indx[2]] = -(2*k[412]*y[:,44] + k[448]*y[:,32] + k[494]*y[:,29])
+ dfdy[indx[40], indx[3]] = -(M*k[735]*y[:,32] - k[446]*y[:,40] - k[451]*y[:,40] + k[459]*y[:,50] - k[492]*y[:,40])
+ dfdy[indx[40], indx[4]] = -(-k[398]*y[:,40] - k[449]*y[:,40] + k[491]*y[:,33])
dfdy[indx[40], indx[5]] = -(0)
dfdy[indx[40], indx[6]] = -(0)
dfdy[indx[40], indx[7]] = -(0)
@@ -10076,40 +11014,40 @@ def neg_symjac(y, M, k):
dfdy[indx[40], indx[14]] = -(0)
dfdy[indx[40], indx[15]] = -(0)
dfdy[indx[40], indx[16]] = -(0)
- dfdy[indx[40], indx[17]] = -(0)
+ dfdy[indx[40], indx[17]] = -(-k[456]*y[:,40])
dfdy[indx[40], indx[18]] = -(0)
dfdy[indx[40], indx[19]] = -(0)
- dfdy[indx[40], indx[20]] = -(0)
- dfdy[indx[40], indx[21]] = -(0)
- dfdy[indx[40], indx[22]] = -(0)
+ dfdy[indx[40], indx[20]] = -(-k[454]*y[:,40])
+ dfdy[indx[40], indx[21]] = -(k[455]*y[:,32])
+ dfdy[indx[40], indx[22]] = -(k[453]*y[:,32])
dfdy[indx[40], indx[23]] = -(0)
dfdy[indx[40], indx[24]] = -(0)
- dfdy[indx[40], indx[25]] = -(0)
+ dfdy[indx[40], indx[25]] = -(k[397]*y[:,29] + k[399]*y[:,33])
dfdy[indx[40], indx[26]] = -(0)
dfdy[indx[40], indx[27]] = -(0)
dfdy[indx[40], indx[28]] = -(0)
- dfdy[indx[40], indx[29]] = -(0)
+ dfdy[indx[40], indx[29]] = -(k[397]*y[:,25] + k[445]*y[:,0] + k[494]*y[:,2])
dfdy[indx[40], indx[30]] = -(0)
dfdy[indx[40], indx[31]] = -(0)
- dfdy[indx[40], indx[32]] = -(0)
- dfdy[indx[40], indx[33]] = -(2*M*k[675]*y[:,33] - k[417]*y[:,40])
- dfdy[indx[40], indx[34]] = -(0)
- dfdy[indx[40], indx[35]] = -(k[418]*y[:,39])
+ dfdy[indx[40], indx[32]] = -(M*k[735]*y[:,3] + k[353]*y[:,37] + k[448]*y[:,2] + k[450]*y[:,0] + k[452]*y[:,1] + k[453]*y[:,22] + k[455]*y[:,21] + k[466]*y[:,35])
+ dfdy[indx[40], indx[33]] = -(k[399]*y[:,25] - k[465]*y[:,40] + k[491]*y[:,4])
+ dfdy[indx[40], indx[34]] = -(-k[354]*y[:,40])
+ dfdy[indx[40], indx[35]] = -(k[466]*y[:,32])
dfdy[indx[40], indx[36]] = -(0)
- dfdy[indx[40], indx[37]] = -(-k[344]*y[:,40])
+ dfdy[indx[40], indx[37]] = -(k[353]*y[:,32])
dfdy[indx[40], indx[38]] = -(0)
- dfdy[indx[40], indx[39]] = -(2*k[343]*y[:,39] + k[382]*y[:,3] + k[418]*y[:,35] + k[796]*y[:,0])
- dfdy[indx[40], indx[40]] = -(-M*k[676] - k[344]*y[:,37] - k[381]*y[:,0] - k[417]*y[:,33] - k[795])
+ dfdy[indx[40], indx[39]] = -(0)
+ dfdy[indx[40], indx[40]] = -(-M*k[736] - k[354]*y[:,34] - k[398]*y[:,4] - k[400]*y[:,0] - 4*k[411]*y[:,40] - k[446]*y[:,3] - k[447]*y[:,0] - k[449]*y[:,4] - k[451]*y[:,3] - k[454]*y[:,20] - k[456]*y[:,17] - k[460]*y[:,0] - k[465]*y[:,33] - k[492]*y[:,3] - k[493]*y[:,1])
dfdy[indx[40], indx[41]] = -(0)
dfdy[indx[40], indx[42]] = -(0)
dfdy[indx[40], indx[43]] = -(0)
- dfdy[indx[40], indx[44]] = -(0)
+ dfdy[indx[40], indx[44]] = -(2*k[412]*y[:,2])
dfdy[indx[40], indx[45]] = -(0)
dfdy[indx[40], indx[46]] = -(0)
dfdy[indx[40], indx[47]] = -(0)
dfdy[indx[40], indx[48]] = -(0)
dfdy[indx[40], indx[49]] = -(0)
- dfdy[indx[40], indx[50]] = -(0)
+ dfdy[indx[40], indx[50]] = -(k[459]*y[:,3])
dfdy[indx[40], indx[51]] = -(0)
dfdy[indx[40], indx[52]] = -(0)
dfdy[indx[40], indx[53]] = -(0)
@@ -10124,15 +11062,19 @@ def neg_symjac(y, M, k):
dfdy[indx[40], indx[62]] = -(0)
dfdy[indx[40], indx[63]] = -(0)
dfdy[indx[40], indx[64]] = -(0)
- dfdy[indx[41], indx[0]] = -(M*k[685]*y[:,32] - k[448]*y[:,41] - k[453]*y[:,41] + k[461]*y[:,50] - k[494]*y[:,41])
- dfdy[indx[41], indx[1]] = -(2*k[414]*y[:,44] + k[450]*y[:,32] + k[496]*y[:,29])
- dfdy[indx[41], indx[2]] = -(-k[402]*y[:,41] + k[447]*y[:,29] - k[449]*y[:,41] + k[452]*y[:,32] - k[462]*y[:,41])
- dfdy[indx[41], indx[3]] = -(k[454]*y[:,32] - k[495]*y[:,41])
- dfdy[indx[41], indx[4]] = -(-k[400]*y[:,41] - k[451]*y[:,41] + k[493]*y[:,33])
+ dfdy[indx[40], indx[65]] = -(0)
+ dfdy[indx[40], indx[66]] = -(0)
+ dfdy[indx[40], indx[67]] = -(0)
+ dfdy[indx[40], indx[68]] = -(0)
+ dfdy[indx[41], indx[0]] = -(-k[359]*y[:,41] - k[378]*y[:,41])
+ dfdy[indx[41], indx[1]] = -(-k[430]*y[:,41] + k[522]*y[:,31])
+ dfdy[indx[41], indx[2]] = -(k[360]*y[:,31])
+ dfdy[indx[41], indx[3]] = -(M*k[721]*y[:,31] - k[368]*y[:,41] + k[429]*y[:,47] - k[521]*y[:,41])
+ dfdy[indx[41], indx[4]] = -(0)
dfdy[indx[41], indx[5]] = -(0)
dfdy[indx[41], indx[6]] = -(0)
dfdy[indx[41], indx[7]] = -(0)
- dfdy[indx[41], indx[8]] = -(0)
+ dfdy[indx[41], indx[8]] = -(k[367]*y[:,28] + k[377]*y[:,32])
dfdy[indx[41], indx[9]] = -(0)
dfdy[indx[41], indx[10]] = -(0)
dfdy[indx[41], indx[11]] = -(0)
@@ -10141,40 +11083,40 @@ def neg_symjac(y, M, k):
dfdy[indx[41], indx[14]] = -(0)
dfdy[indx[41], indx[15]] = -(0)
dfdy[indx[41], indx[16]] = -(0)
- dfdy[indx[41], indx[17]] = -(-k[458]*y[:,41])
+ dfdy[indx[41], indx[17]] = -(0)
dfdy[indx[41], indx[18]] = -(0)
dfdy[indx[41], indx[19]] = -(0)
- dfdy[indx[41], indx[20]] = -(-k[456]*y[:,41])
- dfdy[indx[41], indx[21]] = -(k[457]*y[:,32])
- dfdy[indx[41], indx[22]] = -(k[455]*y[:,32])
+ dfdy[indx[41], indx[20]] = -(0)
+ dfdy[indx[41], indx[21]] = -(0)
+ dfdy[indx[41], indx[22]] = -(0)
dfdy[indx[41], indx[23]] = -(0)
dfdy[indx[41], indx[24]] = -(0)
- dfdy[indx[41], indx[25]] = -(k[399]*y[:,29] + k[401]*y[:,33])
+ dfdy[indx[41], indx[25]] = -(0)
dfdy[indx[41], indx[26]] = -(0)
dfdy[indx[41], indx[27]] = -(0)
- dfdy[indx[41], indx[28]] = -(0)
- dfdy[indx[41], indx[29]] = -(k[399]*y[:,25] + k[447]*y[:,2] + k[496]*y[:,1])
+ dfdy[indx[41], indx[28]] = -(k[367]*y[:,8])
+ dfdy[indx[41], indx[29]] = -(0)
dfdy[indx[41], indx[30]] = -(0)
- dfdy[indx[41], indx[31]] = -(0)
- dfdy[indx[41], indx[32]] = -(M*k[685]*y[:,0] + k[355]*y[:,38] + k[450]*y[:,1] + k[452]*y[:,2] + k[454]*y[:,3] + k[455]*y[:,22] + k[457]*y[:,21] + k[468]*y[:,35])
- dfdy[indx[41], indx[33]] = -(k[401]*y[:,25] - k[467]*y[:,41] + k[493]*y[:,4])
- dfdy[indx[41], indx[34]] = -(-k[356]*y[:,41])
- dfdy[indx[41], indx[35]] = -(k[468]*y[:,32])
+ dfdy[indx[41], indx[31]] = -(M*k[721]*y[:,3] + k[360]*y[:,2] + k[488]*y[:,35] + k[522]*y[:,1])
+ dfdy[indx[41], indx[32]] = -(k[377]*y[:,8])
+ dfdy[indx[41], indx[33]] = -(-k[487]*y[:,41])
+ dfdy[indx[41], indx[34]] = -(0)
+ dfdy[indx[41], indx[35]] = -(k[488]*y[:,31])
dfdy[indx[41], indx[36]] = -(0)
dfdy[indx[41], indx[37]] = -(0)
- dfdy[indx[41], indx[38]] = -(k[355]*y[:,32])
+ dfdy[indx[41], indx[38]] = -(0)
dfdy[indx[41], indx[39]] = -(0)
dfdy[indx[41], indx[40]] = -(0)
- dfdy[indx[41], indx[41]] = -(-M*k[686] - k[356]*y[:,34] - k[400]*y[:,4] - k[402]*y[:,2] - 4*k[413]*y[:,41] - k[448]*y[:,0] - k[449]*y[:,2] - k[451]*y[:,4] - k[453]*y[:,0] - k[456]*y[:,20] - k[458]*y[:,17] - k[462]*y[:,2] - k[467]*y[:,33] - k[494]*y[:,0] - k[495]*y[:,3])
+ dfdy[indx[41], indx[41]] = -(-M*k[722] - k[359]*y[:,0] - k[368]*y[:,3] - k[378]*y[:,0] - k[430]*y[:,1] - k[487]*y[:,33] - k[521]*y[:,3])
dfdy[indx[41], indx[42]] = -(0)
dfdy[indx[41], indx[43]] = -(0)
- dfdy[indx[41], indx[44]] = -(2*k[414]*y[:,1])
+ dfdy[indx[41], indx[44]] = -(0)
dfdy[indx[41], indx[45]] = -(0)
dfdy[indx[41], indx[46]] = -(0)
- dfdy[indx[41], indx[47]] = -(0)
+ dfdy[indx[41], indx[47]] = -(k[429]*y[:,3])
dfdy[indx[41], indx[48]] = -(0)
dfdy[indx[41], indx[49]] = -(0)
- dfdy[indx[41], indx[50]] = -(k[461]*y[:,0])
+ dfdy[indx[41], indx[50]] = -(0)
dfdy[indx[41], indx[51]] = -(0)
dfdy[indx[41], indx[52]] = -(0)
dfdy[indx[41], indx[53]] = -(0)
@@ -10189,14 +11131,18 @@ def neg_symjac(y, M, k):
dfdy[indx[41], indx[62]] = -(0)
dfdy[indx[41], indx[63]] = -(0)
dfdy[indx[41], indx[64]] = -(0)
- dfdy[indx[42], indx[0]] = -(-k[364]*y[:,42] - k[365]*y[:,42] - k[368]*y[:,42] - k[481]*y[:,42] + k[716]*y[:,51] + k[800]*y[:,51])
- dfdy[indx[42], indx[1]] = -(k[486]*y[:,51])
- dfdy[indx[42], indx[2]] = -(k[367]*y[:,31] + k[484]*y[:,51] - k[485]*y[:,42])
- dfdy[indx[42], indx[3]] = -(k[482]*y[:,51])
- dfdy[indx[42], indx[4]] = -(-k[483]*y[:,42])
+ dfdy[indx[41], indx[65]] = -(0)
+ dfdy[indx[41], indx[66]] = -(0)
+ dfdy[indx[41], indx[67]] = -(0)
+ dfdy[indx[41], indx[68]] = -(0)
+ dfdy[indx[42], indx[0]] = -(k[365]*y[:,31] + k[482]*y[:,51] - k[483]*y[:,42])
+ dfdy[indx[42], indx[1]] = -(k[480]*y[:,51])
+ dfdy[indx[42], indx[2]] = -(k[484]*y[:,51])
+ dfdy[indx[42], indx[3]] = -(-k[362]*y[:,42] - k[363]*y[:,42] - k[366]*y[:,42] - k[479]*y[:,42] + k[778]*y[:,51] + k[862]*y[:,51])
+ dfdy[indx[42], indx[4]] = -(-k[481]*y[:,42])
dfdy[indx[42], indx[5]] = -(0)
dfdy[indx[42], indx[6]] = -(0)
- dfdy[indx[42], indx[7]] = -(k[363]*y[:,32])
+ dfdy[indx[42], indx[7]] = -(k[361]*y[:,32])
dfdy[indx[42], indx[8]] = -(0)
dfdy[indx[42], indx[9]] = -(0)
dfdy[indx[42], indx[10]] = -(0)
@@ -10206,11 +11152,11 @@ def neg_symjac(y, M, k):
dfdy[indx[42], indx[14]] = -(0)
dfdy[indx[42], indx[15]] = -(0)
dfdy[indx[42], indx[16]] = -(0)
- dfdy[indx[42], indx[17]] = -(M*k[674]*y[:,29] + k[366]*y[:,33] - k[474]*y[:,42] + k[798]*y[:,29])
+ dfdy[indx[42], indx[17]] = -(M*k[724]*y[:,29] + k[364]*y[:,33] - k[472]*y[:,42] + k[860]*y[:,29])
dfdy[indx[42], indx[18]] = -(0)
dfdy[indx[42], indx[19]] = -(0)
dfdy[indx[42], indx[20]] = -(0)
- dfdy[indx[42], indx[21]] = -(k[473]*y[:,51])
+ dfdy[indx[42], indx[21]] = -(k[471]*y[:,51])
dfdy[indx[42], indx[22]] = -(0)
dfdy[indx[42], indx[23]] = -(0)
dfdy[indx[42], indx[24]] = -(0)
@@ -10218,11 +11164,11 @@ def neg_symjac(y, M, k):
dfdy[indx[42], indx[26]] = -(0)
dfdy[indx[42], indx[27]] = -(0)
dfdy[indx[42], indx[28]] = -(0)
- dfdy[indx[42], indx[29]] = -(M*k[674]*y[:,17] - k[472]*y[:,42] + k[798]*y[:,17])
- dfdy[indx[42], indx[30]] = -(-k[470]*y[:,42])
- dfdy[indx[42], indx[31]] = -(k[367]*y[:,2] + k[469]*y[:,51])
- dfdy[indx[42], indx[32]] = -(k[363]*y[:,7])
- dfdy[indx[42], indx[33]] = -(k[366]*y[:,17] + k[471]*y[:,51])
+ dfdy[indx[42], indx[29]] = -(M*k[724]*y[:,17] - k[470]*y[:,42] + k[860]*y[:,17])
+ dfdy[indx[42], indx[30]] = -(-k[468]*y[:,42])
+ dfdy[indx[42], indx[31]] = -(k[365]*y[:,0] + k[467]*y[:,51])
+ dfdy[indx[42], indx[32]] = -(k[361]*y[:,7])
+ dfdy[indx[42], indx[33]] = -(k[364]*y[:,17] + k[469]*y[:,51])
dfdy[indx[42], indx[34]] = -(0)
dfdy[indx[42], indx[35]] = -(0)
dfdy[indx[42], indx[36]] = -(0)
@@ -10231,7 +11177,7 @@ def neg_symjac(y, M, k):
dfdy[indx[42], indx[39]] = -(0)
dfdy[indx[42], indx[40]] = -(0)
dfdy[indx[42], indx[41]] = -(0)
- dfdy[indx[42], indx[42]] = -(-M*k[673] - M*k[715] - k[364]*y[:,0] - k[365]*y[:,0] - k[368]*y[:,0] - k[470]*y[:,30] - k[472]*y[:,29] - k[474]*y[:,17] - k[481]*y[:,0] - k[483]*y[:,4] - k[485]*y[:,2] - k[797] - k[799])
+ dfdy[indx[42], indx[42]] = -(-M*k[723] - M*k[777] - k[362]*y[:,3] - k[363]*y[:,3] - k[366]*y[:,3] - k[468]*y[:,30] - k[470]*y[:,29] - k[472]*y[:,17] - k[479]*y[:,3] - k[481]*y[:,4] - k[483]*y[:,0] - k[859] - k[861])
dfdy[indx[42], indx[43]] = -(0)
dfdy[indx[42], indx[44]] = -(0)
dfdy[indx[42], indx[45]] = -(0)
@@ -10240,7 +11186,7 @@ def neg_symjac(y, M, k):
dfdy[indx[42], indx[48]] = -(0)
dfdy[indx[42], indx[49]] = -(0)
dfdy[indx[42], indx[50]] = -(0)
- dfdy[indx[42], indx[51]] = -(k[469]*y[:,31] + k[471]*y[:,33] + k[473]*y[:,21] + k[482]*y[:,3] + k[484]*y[:,2] + k[486]*y[:,1] + k[716]*y[:,0] + k[800]*y[:,0])
+ dfdy[indx[42], indx[51]] = -(k[467]*y[:,31] + k[469]*y[:,33] + k[471]*y[:,21] + k[480]*y[:,1] + k[482]*y[:,0] + k[484]*y[:,2] + k[778]*y[:,3] + k[862]*y[:,3])
dfdy[indx[42], indx[52]] = -(0)
dfdy[indx[42], indx[53]] = -(0)
dfdy[indx[42], indx[54]] = -(0)
@@ -10254,15 +11200,19 @@ def neg_symjac(y, M, k):
dfdy[indx[42], indx[62]] = -(0)
dfdy[indx[42], indx[63]] = -(0)
dfdy[indx[42], indx[64]] = -(0)
- dfdy[indx[43], indx[0]] = -(k[463]*y[:,50])
- dfdy[indx[43], indx[1]] = -(k[412]*y[:,44] - k[460]*y[:,43])
- dfdy[indx[43], indx[2]] = -(k[459]*y[:,50])
- dfdy[indx[43], indx[3]] = -(-k[464]*y[:,43])
- dfdy[indx[43], indx[4]] = -(M*k[677]*y[:,32] - k[403]*y[:,43] + k[794]*y[:,32])
+ dfdy[indx[42], indx[65]] = -(0)
+ dfdy[indx[42], indx[66]] = -(0)
+ dfdy[indx[42], indx[67]] = -(0)
+ dfdy[indx[42], indx[68]] = -(0)
+ dfdy[indx[43], indx[0]] = -(k[457]*y[:,50] - k[604]*y[:,43])
+ dfdy[indx[43], indx[1]] = -(-k[462]*y[:,43])
+ dfdy[indx[43], indx[2]] = -(k[410]*y[:,44] - k[458]*y[:,43])
+ dfdy[indx[43], indx[3]] = -(k[461]*y[:,50])
+ dfdy[indx[43], indx[4]] = -(M*k[727]*y[:,32] - k[401]*y[:,43] + k[608]*y[:,44] + k[856]*y[:,32])
dfdy[indx[43], indx[5]] = -(0)
dfdy[indx[43], indx[6]] = -(0)
dfdy[indx[43], indx[7]] = -(0)
- dfdy[indx[43], indx[8]] = -(-k[415]*y[:,43])
+ dfdy[indx[43], indx[8]] = -(-k[413]*y[:,43])
dfdy[indx[43], indx[9]] = -(0)
dfdy[indx[43], indx[10]] = -(0)
dfdy[indx[43], indx[11]] = -(0)
@@ -10276,18 +11226,18 @@ def neg_symjac(y, M, k):
dfdy[indx[43], indx[19]] = -(0)
dfdy[indx[43], indx[20]] = -(0)
dfdy[indx[43], indx[21]] = -(0)
- dfdy[indx[43], indx[22]] = -(k[416]*y[:,32])
+ dfdy[indx[43], indx[22]] = -(k[414]*y[:,32])
dfdy[indx[43], indx[23]] = -(0)
dfdy[indx[43], indx[24]] = -(0)
- dfdy[indx[43], indx[25]] = -(k[404]*y[:,32] + k[588]*y[:,32])
+ dfdy[indx[43], indx[25]] = -(k[402]*y[:,32] + k[630]*y[:,32])
dfdy[indx[43], indx[26]] = -(0)
dfdy[indx[43], indx[27]] = -(0)
- dfdy[indx[43], indx[28]] = -(0)
+ dfdy[indx[43], indx[28]] = -(-k[607]*y[:,43])
dfdy[indx[43], indx[29]] = -(0)
dfdy[indx[43], indx[30]] = -(0)
dfdy[indx[43], indx[31]] = -(0)
- dfdy[indx[43], indx[32]] = -(M*k[677]*y[:,4] + k[404]*y[:,25] + k[416]*y[:,22] + k[588]*y[:,25] + k[794]*y[:,4])
- dfdy[indx[43], indx[33]] = -(-k[411]*y[:,43])
+ dfdy[indx[43], indx[32]] = -(M*k[727]*y[:,4] + k[402]*y[:,25] + k[414]*y[:,22] + k[603]*y[:,52] + k[630]*y[:,25] + k[856]*y[:,4])
+ dfdy[indx[43], indx[33]] = -(-k[409]*y[:,43])
dfdy[indx[43], indx[34]] = -(0)
dfdy[indx[43], indx[35]] = -(0)
dfdy[indx[43], indx[36]] = -(0)
@@ -10297,16 +11247,16 @@ def neg_symjac(y, M, k):
dfdy[indx[43], indx[40]] = -(0)
dfdy[indx[43], indx[41]] = -(0)
dfdy[indx[43], indx[42]] = -(0)
- dfdy[indx[43], indx[43]] = -(-M*k[678] - k[403]*y[:,4] - k[411]*y[:,33] - k[415]*y[:,8] - k[460]*y[:,1] - k[464]*y[:,3] - k[587]*y[:,60] - k[793])
- dfdy[indx[43], indx[44]] = -(k[412]*y[:,1])
+ dfdy[indx[43], indx[43]] = -(-M*k[728] - k[401]*y[:,4] - k[409]*y[:,33] - k[413]*y[:,8] - k[458]*y[:,2] - k[462]*y[:,1] - k[604]*y[:,0] - k[607]*y[:,28] - k[629]*y[:,65] - k[855])
+ dfdy[indx[43], indx[44]] = -(k[410]*y[:,2] + k[608]*y[:,4])
dfdy[indx[43], indx[45]] = -(0)
dfdy[indx[43], indx[46]] = -(0)
dfdy[indx[43], indx[47]] = -(0)
dfdy[indx[43], indx[48]] = -(0)
dfdy[indx[43], indx[49]] = -(0)
- dfdy[indx[43], indx[50]] = -(k[459]*y[:,2] + k[463]*y[:,0])
+ dfdy[indx[43], indx[50]] = -(k[457]*y[:,0] + k[461]*y[:,3])
dfdy[indx[43], indx[51]] = -(0)
- dfdy[indx[43], indx[52]] = -(0)
+ dfdy[indx[43], indx[52]] = -(k[603]*y[:,32])
dfdy[indx[43], indx[53]] = -(0)
dfdy[indx[43], indx[54]] = -(0)
dfdy[indx[43], indx[55]] = -(0)
@@ -10314,16 +11264,20 @@ def neg_symjac(y, M, k):
dfdy[indx[43], indx[57]] = -(0)
dfdy[indx[43], indx[58]] = -(0)
dfdy[indx[43], indx[59]] = -(0)
- dfdy[indx[43], indx[60]] = -(-k[587]*y[:,43])
+ dfdy[indx[43], indx[60]] = -(0)
dfdy[indx[43], indx[61]] = -(0)
dfdy[indx[43], indx[62]] = -(0)
dfdy[indx[43], indx[63]] = -(0)
dfdy[indx[43], indx[64]] = -(0)
- dfdy[indx[44], indx[0]] = -(-k[407]*y[:,44] - k[410]*y[:,44])
- dfdy[indx[44], indx[1]] = -(-k[412]*y[:,44] - k[414]*y[:,44])
- dfdy[indx[44], indx[2]] = -(k[408]*y[:,34])
- dfdy[indx[44], indx[3]] = -(0)
- dfdy[indx[44], indx[4]] = -(M*k[680]*y[:,34] - k[405]*y[:,44])
+ dfdy[indx[43], indx[65]] = -(-k[629]*y[:,43])
+ dfdy[indx[43], indx[66]] = -(0)
+ dfdy[indx[43], indx[67]] = -(0)
+ dfdy[indx[43], indx[68]] = -(0)
+ dfdy[indx[44], indx[0]] = -(k[406]*y[:,34])
+ dfdy[indx[44], indx[1]] = -(0)
+ dfdy[indx[44], indx[2]] = -(-k[410]*y[:,44] - k[412]*y[:,44])
+ dfdy[indx[44], indx[3]] = -(-k[405]*y[:,44] - k[408]*y[:,44])
+ dfdy[indx[44], indx[4]] = -(M*k[730]*y[:,34] - k[403]*y[:,44] - k[608]*y[:,44])
dfdy[indx[44], indx[5]] = -(0)
dfdy[indx[44], indx[6]] = -(0)
dfdy[indx[44], indx[7]] = -(0)
@@ -10344,26 +11298,26 @@ def neg_symjac(y, M, k):
dfdy[indx[44], indx[22]] = -(0)
dfdy[indx[44], indx[23]] = -(0)
dfdy[indx[44], indx[24]] = -(0)
- dfdy[indx[44], indx[25]] = -(k[406]*y[:,34])
+ dfdy[indx[44], indx[25]] = -(k[404]*y[:,34])
dfdy[indx[44], indx[26]] = -(0)
dfdy[indx[44], indx[27]] = -(0)
- dfdy[indx[44], indx[28]] = -(0)
- dfdy[indx[44], indx[29]] = -(k[409]*y[:,32])
+ dfdy[indx[44], indx[28]] = -(k[607]*y[:,43])
+ dfdy[indx[44], indx[29]] = -(k[407]*y[:,32])
dfdy[indx[44], indx[30]] = -(0)
dfdy[indx[44], indx[31]] = -(0)
- dfdy[indx[44], indx[32]] = -(k[409]*y[:,29])
- dfdy[indx[44], indx[33]] = -(k[411]*y[:,43])
- dfdy[indx[44], indx[34]] = -(M*k[680]*y[:,4] + k[406]*y[:,25] + k[408]*y[:,2])
+ dfdy[indx[44], indx[32]] = -(k[407]*y[:,29] + k[652]*y[:,34])
+ dfdy[indx[44], indx[33]] = -(k[409]*y[:,43])
+ dfdy[indx[44], indx[34]] = -(M*k[730]*y[:,4] + k[404]*y[:,25] + k[406]*y[:,0] + k[652]*y[:,32])
dfdy[indx[44], indx[35]] = -(0)
dfdy[indx[44], indx[36]] = -(0)
dfdy[indx[44], indx[37]] = -(0)
dfdy[indx[44], indx[38]] = -(0)
dfdy[indx[44], indx[39]] = -(0)
- dfdy[indx[44], indx[40]] = -(0)
- dfdy[indx[44], indx[41]] = -(2*k[413]*y[:,41])
+ dfdy[indx[44], indx[40]] = -(2*k[411]*y[:,40])
+ dfdy[indx[44], indx[41]] = -(0)
dfdy[indx[44], indx[42]] = -(0)
- dfdy[indx[44], indx[43]] = -(k[411]*y[:,33])
- dfdy[indx[44], indx[44]] = -(-M*k[679] - k[405]*y[:,4] - k[407]*y[:,0] - k[410]*y[:,0] - k[412]*y[:,1] - k[414]*y[:,1])
+ dfdy[indx[44], indx[43]] = -(k[409]*y[:,33] + k[607]*y[:,28])
+ dfdy[indx[44], indx[44]] = -(-M*k[729] - k[403]*y[:,4] - k[405]*y[:,3] - k[408]*y[:,3] - k[410]*y[:,2] - k[412]*y[:,2] - k[608]*y[:,4] - k[651]*y[:,67])
dfdy[indx[44], indx[45]] = -(0)
dfdy[indx[44], indx[46]] = -(0)
dfdy[indx[44], indx[47]] = -(0)
@@ -10384,19 +11338,23 @@ def neg_symjac(y, M, k):
dfdy[indx[44], indx[62]] = -(0)
dfdy[indx[44], indx[63]] = -(0)
dfdy[indx[44], indx[64]] = -(0)
- dfdy[indx[45], indx[0]] = -(-k[420]*y[:,45])
+ dfdy[indx[44], indx[65]] = -(0)
+ dfdy[indx[44], indx[66]] = -(0)
+ dfdy[indx[44], indx[67]] = -(-k[651]*y[:,44])
+ dfdy[indx[44], indx[68]] = -(0)
+ dfdy[indx[45], indx[0]] = -(0)
dfdy[indx[45], indx[1]] = -(0)
dfdy[indx[45], indx[2]] = -(0)
- dfdy[indx[45], indx[3]] = -(0)
+ dfdy[indx[45], indx[3]] = -(-M*k[761]*y[:,45] - k[418]*y[:,45])
dfdy[indx[45], indx[4]] = -(0)
dfdy[indx[45], indx[5]] = -(0)
dfdy[indx[45], indx[6]] = -(0)
dfdy[indx[45], indx[7]] = -(0)
dfdy[indx[45], indx[8]] = -(0)
dfdy[indx[45], indx[9]] = -(0)
- dfdy[indx[45], indx[10]] = -(k[541]*y[:,57] + k[812]*y[:,11])
- dfdy[indx[45], indx[11]] = -(k[419]*y[:,12] + k[812]*y[:,10])
- dfdy[indx[45], indx[12]] = -(k[419]*y[:,11])
+ dfdy[indx[45], indx[10]] = -(k[539]*y[:,57] + k[870]*y[:,11])
+ dfdy[indx[45], indx[11]] = -(k[417]*y[:,12] + k[870]*y[:,10])
+ dfdy[indx[45], indx[12]] = -(k[417]*y[:,11])
dfdy[indx[45], indx[13]] = -(0)
dfdy[indx[45], indx[14]] = -(0)
dfdy[indx[45], indx[15]] = -(0)
@@ -10415,7 +11373,7 @@ def neg_symjac(y, M, k):
dfdy[indx[45], indx[28]] = -(0)
dfdy[indx[45], indx[29]] = -(0)
dfdy[indx[45], indx[30]] = -(0)
- dfdy[indx[45], indx[31]] = -(-k[542]*y[:,45])
+ dfdy[indx[45], indx[31]] = -(-k[540]*y[:,45])
dfdy[indx[45], indx[32]] = -(0)
dfdy[indx[45], indx[33]] = -(0)
dfdy[indx[45], indx[34]] = -(0)
@@ -10429,7 +11387,7 @@ def neg_symjac(y, M, k):
dfdy[indx[45], indx[42]] = -(0)
dfdy[indx[45], indx[43]] = -(0)
dfdy[indx[45], indx[44]] = -(0)
- dfdy[indx[45], indx[45]] = -(-k[420]*y[:,0] - k[542]*y[:,31] - k[811])
+ dfdy[indx[45], indx[45]] = -(-M*k[761]*y[:,3] - k[418]*y[:,3] - k[540]*y[:,31] - k[869])
dfdy[indx[45], indx[46]] = -(0)
dfdy[indx[45], indx[47]] = -(0)
dfdy[indx[45], indx[48]] = -(0)
@@ -10441,34 +11399,38 @@ def neg_symjac(y, M, k):
dfdy[indx[45], indx[54]] = -(0)
dfdy[indx[45], indx[55]] = -(0)
dfdy[indx[45], indx[56]] = -(0)
- dfdy[indx[45], indx[57]] = -(k[541]*y[:,10])
+ dfdy[indx[45], indx[57]] = -(k[539]*y[:,10])
dfdy[indx[45], indx[58]] = -(0)
dfdy[indx[45], indx[59]] = -(0)
dfdy[indx[45], indx[60]] = -(0)
- dfdy[indx[45], indx[61]] = -(0)
+ dfdy[indx[45], indx[61]] = -(M*k[762])
dfdy[indx[45], indx[62]] = -(0)
dfdy[indx[45], indx[63]] = -(0)
dfdy[indx[45], indx[64]] = -(0)
- dfdy[indx[46], indx[0]] = -(-k[421]*y[:,46] + k[429]*y[:,48] - k[436]*y[:,46])
- dfdy[indx[46], indx[1]] = -(0)
- dfdy[indx[46], indx[2]] = -(-k[427]*y[:,46])
- dfdy[indx[46], indx[3]] = -(k[422]*y[:,47] - k[430]*y[:,46])
+ dfdy[indx[45], indx[65]] = -(0)
+ dfdy[indx[45], indx[66]] = -(0)
+ dfdy[indx[45], indx[67]] = -(0)
+ dfdy[indx[45], indx[68]] = -(0)
+ dfdy[indx[46], indx[0]] = -(-k[425]*y[:,46])
+ dfdy[indx[46], indx[1]] = -(k[420]*y[:,47] - k[428]*y[:,46])
+ dfdy[indx[46], indx[2]] = -(0)
+ dfdy[indx[46], indx[3]] = -(-k[419]*y[:,46] + k[427]*y[:,48] - k[434]*y[:,46])
dfdy[indx[46], indx[4]] = -(0)
dfdy[indx[46], indx[5]] = -(0)
dfdy[indx[46], indx[6]] = -(0)
dfdy[indx[46], indx[7]] = -(0)
- dfdy[indx[46], indx[8]] = -(-k[425]*y[:,46] + k[435]*y[:,33] + k[437]*y[:,48])
- dfdy[indx[46], indx[9]] = -(-k[438]*y[:,46])
+ dfdy[indx[46], indx[8]] = -(-k[423]*y[:,46] + k[433]*y[:,33] + k[435]*y[:,48])
+ dfdy[indx[46], indx[9]] = -(-k[436]*y[:,46])
dfdy[indx[46], indx[10]] = -(0)
dfdy[indx[46], indx[11]] = -(0)
dfdy[indx[46], indx[12]] = -(0)
dfdy[indx[46], indx[13]] = -(0)
dfdy[indx[46], indx[14]] = -(0)
- dfdy[indx[46], indx[15]] = -(k[426]*y[:,33])
+ dfdy[indx[46], indx[15]] = -(k[424]*y[:,33])
dfdy[indx[46], indx[16]] = -(0)
dfdy[indx[46], indx[17]] = -(0)
dfdy[indx[46], indx[18]] = -(0)
- dfdy[indx[46], indx[19]] = -(k[428]*y[:,33])
+ dfdy[indx[46], indx[19]] = -(k[426]*y[:,33])
dfdy[indx[46], indx[20]] = -(0)
dfdy[indx[46], indx[21]] = -(0)
dfdy[indx[46], indx[22]] = -(0)
@@ -10482,9 +11444,9 @@ def neg_symjac(y, M, k):
dfdy[indx[46], indx[30]] = -(0)
dfdy[indx[46], indx[31]] = -(0)
dfdy[indx[46], indx[32]] = -(0)
- dfdy[indx[46], indx[33]] = -(k[423]*y[:,48] + k[426]*y[:,15] + k[428]*y[:,19] + k[435]*y[:,8])
+ dfdy[indx[46], indx[33]] = -(k[421]*y[:,48] + k[424]*y[:,15] + k[426]*y[:,19] + k[433]*y[:,8])
dfdy[indx[46], indx[34]] = -(0)
- dfdy[indx[46], indx[35]] = -(-k[424]*y[:,46])
+ dfdy[indx[46], indx[35]] = -(-k[422]*y[:,46])
dfdy[indx[46], indx[36]] = -(0)
dfdy[indx[46], indx[37]] = -(0)
dfdy[indx[46], indx[38]] = -(0)
@@ -10495,9 +11457,9 @@ def neg_symjac(y, M, k):
dfdy[indx[46], indx[43]] = -(0)
dfdy[indx[46], indx[44]] = -(0)
dfdy[indx[46], indx[45]] = -(0)
- dfdy[indx[46], indx[46]] = -(-k[421]*y[:,0] - k[424]*y[:,35] - k[425]*y[:,8] - k[427]*y[:,2] - k[430]*y[:,3] - k[436]*y[:,0] - k[438]*y[:,9])
- dfdy[indx[46], indx[47]] = -(k[422]*y[:,3])
- dfdy[indx[46], indx[48]] = -(k[423]*y[:,33] + k[429]*y[:,0] + k[437]*y[:,8])
+ dfdy[indx[46], indx[46]] = -(-k[419]*y[:,3] - k[422]*y[:,35] - k[423]*y[:,8] - k[425]*y[:,0] - k[428]*y[:,1] - k[434]*y[:,3] - k[436]*y[:,9])
+ dfdy[indx[46], indx[47]] = -(k[420]*y[:,1])
+ dfdy[indx[46], indx[48]] = -(k[421]*y[:,33] + k[427]*y[:,3] + k[435]*y[:,8])
dfdy[indx[46], indx[49]] = -(0)
dfdy[indx[46], indx[50]] = -(0)
dfdy[indx[46], indx[51]] = -(0)
@@ -10514,15 +11476,19 @@ def neg_symjac(y, M, k):
dfdy[indx[46], indx[62]] = -(0)
dfdy[indx[46], indx[63]] = -(0)
dfdy[indx[46], indx[64]] = -(0)
- dfdy[indx[47], indx[0]] = -(k[421]*y[:,46] - k[431]*y[:,47])
- dfdy[indx[47], indx[1]] = -(0)
+ dfdy[indx[46], indx[65]] = -(0)
+ dfdy[indx[46], indx[66]] = -(0)
+ dfdy[indx[46], indx[67]] = -(0)
+ dfdy[indx[46], indx[68]] = -(0)
+ dfdy[indx[47], indx[0]] = -(0)
+ dfdy[indx[47], indx[1]] = -(-k[420]*y[:,47] + k[430]*y[:,41] - k[432]*y[:,47])
dfdy[indx[47], indx[2]] = -(0)
- dfdy[indx[47], indx[3]] = -(-k[422]*y[:,47] + k[432]*y[:,36] - k[434]*y[:,47])
+ dfdy[indx[47], indx[3]] = -(k[419]*y[:,46] - k[429]*y[:,47])
dfdy[indx[47], indx[4]] = -(0)
dfdy[indx[47], indx[5]] = -(0)
dfdy[indx[47], indx[6]] = -(0)
dfdy[indx[47], indx[7]] = -(0)
- dfdy[indx[47], indx[8]] = -(k[433]*y[:,33])
+ dfdy[indx[47], indx[8]] = -(k[431]*y[:,33])
dfdy[indx[47], indx[9]] = -(0)
dfdy[indx[47], indx[10]] = -(0)
dfdy[indx[47], indx[11]] = -(0)
@@ -10547,21 +11513,21 @@ def neg_symjac(y, M, k):
dfdy[indx[47], indx[30]] = -(0)
dfdy[indx[47], indx[31]] = -(0)
dfdy[indx[47], indx[32]] = -(0)
- dfdy[indx[47], indx[33]] = -(k[433]*y[:,8])
+ dfdy[indx[47], indx[33]] = -(k[431]*y[:,8])
dfdy[indx[47], indx[34]] = -(0)
dfdy[indx[47], indx[35]] = -(0)
- dfdy[indx[47], indx[36]] = -(k[432]*y[:,3])
+ dfdy[indx[47], indx[36]] = -(0)
dfdy[indx[47], indx[37]] = -(0)
dfdy[indx[47], indx[38]] = -(0)
dfdy[indx[47], indx[39]] = -(0)
dfdy[indx[47], indx[40]] = -(0)
- dfdy[indx[47], indx[41]] = -(0)
+ dfdy[indx[47], indx[41]] = -(k[430]*y[:,1])
dfdy[indx[47], indx[42]] = -(0)
dfdy[indx[47], indx[43]] = -(0)
dfdy[indx[47], indx[44]] = -(0)
dfdy[indx[47], indx[45]] = -(0)
- dfdy[indx[47], indx[46]] = -(k[421]*y[:,0])
- dfdy[indx[47], indx[47]] = -(-k[422]*y[:,3] - k[431]*y[:,0] - k[434]*y[:,3])
+ dfdy[indx[47], indx[46]] = -(k[419]*y[:,3])
+ dfdy[indx[47], indx[47]] = -(-k[420]*y[:,1] - k[429]*y[:,3] - k[432]*y[:,1])
dfdy[indx[47], indx[48]] = -(0)
dfdy[indx[47], indx[49]] = -(0)
dfdy[indx[47], indx[50]] = -(0)
@@ -10579,16 +11545,20 @@ def neg_symjac(y, M, k):
dfdy[indx[47], indx[62]] = -(0)
dfdy[indx[47], indx[63]] = -(0)
dfdy[indx[47], indx[64]] = -(0)
- dfdy[indx[48], indx[0]] = -(-k[429]*y[:,48])
- dfdy[indx[48], indx[1]] = -(0)
+ dfdy[indx[47], indx[65]] = -(0)
+ dfdy[indx[47], indx[66]] = -(0)
+ dfdy[indx[47], indx[67]] = -(0)
+ dfdy[indx[47], indx[68]] = -(0)
+ dfdy[indx[48], indx[0]] = -(0)
+ dfdy[indx[48], indx[1]] = -(k[428]*y[:,46])
dfdy[indx[48], indx[2]] = -(0)
- dfdy[indx[48], indx[3]] = -(k[430]*y[:,46])
+ dfdy[indx[48], indx[3]] = -(-k[427]*y[:,48])
dfdy[indx[48], indx[4]] = -(0)
dfdy[indx[48], indx[5]] = -(0)
dfdy[indx[48], indx[6]] = -(0)
dfdy[indx[48], indx[7]] = -(0)
- dfdy[indx[48], indx[8]] = -(M*k[683]*y[:,33] - k[437]*y[:,48])
- dfdy[indx[48], indx[9]] = -(k[438]*y[:,46])
+ dfdy[indx[48], indx[8]] = -(M*k[733]*y[:,33] - k[435]*y[:,48])
+ dfdy[indx[48], indx[9]] = -(k[436]*y[:,46])
dfdy[indx[48], indx[10]] = -(0)
dfdy[indx[48], indx[11]] = -(0)
dfdy[indx[48], indx[12]] = -(0)
@@ -10612,9 +11582,9 @@ def neg_symjac(y, M, k):
dfdy[indx[48], indx[30]] = -(0)
dfdy[indx[48], indx[31]] = -(0)
dfdy[indx[48], indx[32]] = -(0)
- dfdy[indx[48], indx[33]] = -(M*k[683]*y[:,8] - k[423]*y[:,48])
+ dfdy[indx[48], indx[33]] = -(M*k[733]*y[:,8] - k[421]*y[:,48])
dfdy[indx[48], indx[34]] = -(0)
- dfdy[indx[48], indx[35]] = -(k[424]*y[:,46])
+ dfdy[indx[48], indx[35]] = -(k[422]*y[:,46])
dfdy[indx[48], indx[36]] = -(0)
dfdy[indx[48], indx[37]] = -(0)
dfdy[indx[48], indx[38]] = -(0)
@@ -10625,9 +11595,9 @@ def neg_symjac(y, M, k):
dfdy[indx[48], indx[43]] = -(0)
dfdy[indx[48], indx[44]] = -(0)
dfdy[indx[48], indx[45]] = -(0)
- dfdy[indx[48], indx[46]] = -(k[424]*y[:,35] + k[430]*y[:,3] + k[438]*y[:,9])
+ dfdy[indx[48], indx[46]] = -(k[422]*y[:,35] + k[428]*y[:,1] + k[436]*y[:,9])
dfdy[indx[48], indx[47]] = -(0)
- dfdy[indx[48], indx[48]] = -(-M*k[684] - k[423]*y[:,33] - k[429]*y[:,0] - k[437]*y[:,8])
+ dfdy[indx[48], indx[48]] = -(-M*k[734] - k[421]*y[:,33] - k[427]*y[:,3] - k[435]*y[:,8])
dfdy[indx[48], indx[49]] = -(0)
dfdy[indx[48], indx[50]] = -(0)
dfdy[indx[48], indx[51]] = -(0)
@@ -10644,31 +11614,35 @@ def neg_symjac(y, M, k):
dfdy[indx[48], indx[62]] = -(0)
dfdy[indx[48], indx[63]] = -(0)
dfdy[indx[48], indx[64]] = -(0)
- dfdy[indx[49], indx[0]] = -(-k[444]*y[:,49] - k[445]*y[:,49])
- dfdy[indx[49], indx[1]] = -(0)
+ dfdy[indx[48], indx[65]] = -(0)
+ dfdy[indx[48], indx[66]] = -(0)
+ dfdy[indx[48], indx[67]] = -(0)
+ dfdy[indx[48], indx[68]] = -(0)
+ dfdy[indx[49], indx[0]] = -(0)
+ dfdy[indx[49], indx[1]] = -(k[444]*y[:,24])
dfdy[indx[49], indx[2]] = -(0)
- dfdy[indx[49], indx[3]] = -(k[446]*y[:,24])
- dfdy[indx[49], indx[4]] = -(k[443]*y[:,15])
+ dfdy[indx[49], indx[3]] = -(-k[442]*y[:,49] - k[443]*y[:,49])
+ dfdy[indx[49], indx[4]] = -(k[441]*y[:,15])
dfdy[indx[49], indx[5]] = -(0)
dfdy[indx[49], indx[6]] = -(0)
dfdy[indx[49], indx[7]] = -(0)
- dfdy[indx[49], indx[8]] = -(k[782]*y[:,21])
- dfdy[indx[49], indx[9]] = -(k[780]*y[:,17])
+ dfdy[indx[49], indx[8]] = -(k[844]*y[:,21])
+ dfdy[indx[49], indx[9]] = -(k[842]*y[:,17])
dfdy[indx[49], indx[10]] = -(0)
dfdy[indx[49], indx[11]] = -(0)
dfdy[indx[49], indx[12]] = -(0)
dfdy[indx[49], indx[13]] = -(0)
dfdy[indx[49], indx[14]] = -(0)
- dfdy[indx[49], indx[15]] = -(k[443]*y[:,4])
+ dfdy[indx[49], indx[15]] = -(k[441]*y[:,4])
dfdy[indx[49], indx[16]] = -(0)
- dfdy[indx[49], indx[17]] = -(k[780]*y[:,9])
+ dfdy[indx[49], indx[17]] = -(k[842]*y[:,9])
dfdy[indx[49], indx[18]] = -(0)
dfdy[indx[49], indx[19]] = -(0)
dfdy[indx[49], indx[20]] = -(0)
- dfdy[indx[49], indx[21]] = -(k[782]*y[:,8])
+ dfdy[indx[49], indx[21]] = -(k[844]*y[:,8])
dfdy[indx[49], indx[22]] = -(0)
dfdy[indx[49], indx[23]] = -(0)
- dfdy[indx[49], indx[24]] = -(k[446]*y[:,3])
+ dfdy[indx[49], indx[24]] = -(k[444]*y[:,1])
dfdy[indx[49], indx[25]] = -(0)
dfdy[indx[49], indx[26]] = -(0)
dfdy[indx[49], indx[27]] = -(0)
@@ -10693,7 +11667,7 @@ def neg_symjac(y, M, k):
dfdy[indx[49], indx[46]] = -(0)
dfdy[indx[49], indx[47]] = -(0)
dfdy[indx[49], indx[48]] = -(0)
- dfdy[indx[49], indx[49]] = -(-k[444]*y[:,0] - k[445]*y[:,0] - k[779] - k[781])
+ dfdy[indx[49], indx[49]] = -(-k[442]*y[:,3] - k[443]*y[:,3] - k[841] - k[843])
dfdy[indx[49], indx[50]] = -(0)
dfdy[indx[49], indx[51]] = -(0)
dfdy[indx[49], indx[52]] = -(0)
@@ -10709,10 +11683,14 @@ def neg_symjac(y, M, k):
dfdy[indx[49], indx[62]] = -(0)
dfdy[indx[49], indx[63]] = -(0)
dfdy[indx[49], indx[64]] = -(0)
- dfdy[indx[50], indx[0]] = -(-k[461]*y[:,50] - k[463]*y[:,50] - k[465]*y[:,50])
- dfdy[indx[50], indx[1]] = -(k[460]*y[:,43] + k[466]*y[:,32])
- dfdy[indx[50], indx[2]] = -(M*k[687]*y[:,32] - k[459]*y[:,50] + k[462]*y[:,41])
- dfdy[indx[50], indx[3]] = -(k[464]*y[:,43])
+ dfdy[indx[49], indx[65]] = -(0)
+ dfdy[indx[49], indx[66]] = -(0)
+ dfdy[indx[49], indx[67]] = -(0)
+ dfdy[indx[49], indx[68]] = -(0)
+ dfdy[indx[50], indx[0]] = -(M*k[737]*y[:,32] - k[457]*y[:,50] + k[460]*y[:,40] + k[878]*y[:,32])
+ dfdy[indx[50], indx[1]] = -(k[462]*y[:,43])
+ dfdy[indx[50], indx[2]] = -(k[458]*y[:,43] + k[464]*y[:,32])
+ dfdy[indx[50], indx[3]] = -(-k[459]*y[:,50] - k[461]*y[:,50] - k[463]*y[:,50])
dfdy[indx[50], indx[4]] = -(0)
dfdy[indx[50], indx[5]] = -(0)
dfdy[indx[50], indx[6]] = -(0)
@@ -10741,7 +11719,7 @@ def neg_symjac(y, M, k):
dfdy[indx[50], indx[29]] = -(0)
dfdy[indx[50], indx[30]] = -(0)
dfdy[indx[50], indx[31]] = -(0)
- dfdy[indx[50], indx[32]] = -(M*k[687]*y[:,2] + k[466]*y[:,1])
+ dfdy[indx[50], indx[32]] = -(M*k[737]*y[:,0] + k[464]*y[:,2] + k[878]*y[:,0])
dfdy[indx[50], indx[33]] = -(0)
dfdy[indx[50], indx[34]] = -(0)
dfdy[indx[50], indx[35]] = -(0)
@@ -10749,17 +11727,17 @@ def neg_symjac(y, M, k):
dfdy[indx[50], indx[37]] = -(0)
dfdy[indx[50], indx[38]] = -(0)
dfdy[indx[50], indx[39]] = -(0)
- dfdy[indx[50], indx[40]] = -(0)
- dfdy[indx[50], indx[41]] = -(k[462]*y[:,2])
+ dfdy[indx[50], indx[40]] = -(k[460]*y[:,0])
+ dfdy[indx[50], indx[41]] = -(0)
dfdy[indx[50], indx[42]] = -(0)
- dfdy[indx[50], indx[43]] = -(k[460]*y[:,1] + k[464]*y[:,3])
+ dfdy[indx[50], indx[43]] = -(k[458]*y[:,2] + k[462]*y[:,1])
dfdy[indx[50], indx[44]] = -(0)
dfdy[indx[50], indx[45]] = -(0)
dfdy[indx[50], indx[46]] = -(0)
dfdy[indx[50], indx[47]] = -(0)
dfdy[indx[50], indx[48]] = -(0)
dfdy[indx[50], indx[49]] = -(0)
- dfdy[indx[50], indx[50]] = -(-M*k[688] - k[459]*y[:,2] - k[461]*y[:,0] - k[463]*y[:,0] - k[465]*y[:,0])
+ dfdy[indx[50], indx[50]] = -(-M*k[738] - k[457]*y[:,0] - k[459]*y[:,3] - k[461]*y[:,3] - k[463]*y[:,3] - k[877])
dfdy[indx[50], indx[51]] = -(0)
dfdy[indx[50], indx[52]] = -(0)
dfdy[indx[50], indx[53]] = -(0)
@@ -10774,11 +11752,15 @@ def neg_symjac(y, M, k):
dfdy[indx[50], indx[62]] = -(0)
dfdy[indx[50], indx[63]] = -(0)
dfdy[indx[50], indx[64]] = -(0)
- dfdy[indx[51], indx[0]] = -(-k[478]*y[:,51] - k[480]*y[:,51] + k[481]*y[:,42] - k[716]*y[:,51] - k[800]*y[:,51])
- dfdy[indx[51], indx[1]] = -(-k[486]*y[:,51])
- dfdy[indx[51], indx[2]] = -(k[479]*y[:,30] - k[484]*y[:,51] + k[485]*y[:,42])
- dfdy[indx[51], indx[3]] = -(-k[482]*y[:,51])
- dfdy[indx[51], indx[4]] = -(k[477]*y[:,31] + k[483]*y[:,42])
+ dfdy[indx[50], indx[65]] = -(0)
+ dfdy[indx[50], indx[66]] = -(0)
+ dfdy[indx[50], indx[67]] = -(0)
+ dfdy[indx[50], indx[68]] = -(0)
+ dfdy[indx[51], indx[0]] = -(k[477]*y[:,30] - k[482]*y[:,51] + k[483]*y[:,42])
+ dfdy[indx[51], indx[1]] = -(-k[480]*y[:,51])
+ dfdy[indx[51], indx[2]] = -(-k[484]*y[:,51])
+ dfdy[indx[51], indx[3]] = -(-k[476]*y[:,51] - k[478]*y[:,51] + k[479]*y[:,42] - k[778]*y[:,51] - k[862]*y[:,51])
+ dfdy[indx[51], indx[4]] = -(k[475]*y[:,31] + k[481]*y[:,42])
dfdy[indx[51], indx[5]] = -(0)
dfdy[indx[51], indx[6]] = -(0)
dfdy[indx[51], indx[7]] = -(0)
@@ -10791,11 +11773,11 @@ def neg_symjac(y, M, k):
dfdy[indx[51], indx[14]] = -(0)
dfdy[indx[51], indx[15]] = -(0)
dfdy[indx[51], indx[16]] = -(0)
- dfdy[indx[51], indx[17]] = -(k[474]*y[:,42] - k[476]*y[:,51])
- dfdy[indx[51], indx[18]] = -(k[475]*y[:,30])
+ dfdy[indx[51], indx[17]] = -(k[472]*y[:,42] - k[474]*y[:,51])
+ dfdy[indx[51], indx[18]] = -(k[473]*y[:,30])
dfdy[indx[51], indx[19]] = -(0)
dfdy[indx[51], indx[20]] = -(0)
- dfdy[indx[51], indx[21]] = -(-k[473]*y[:,51])
+ dfdy[indx[51], indx[21]] = -(-k[471]*y[:,51])
dfdy[indx[51], indx[22]] = -(0)
dfdy[indx[51], indx[23]] = -(0)
dfdy[indx[51], indx[24]] = -(0)
@@ -10803,11 +11785,11 @@ def neg_symjac(y, M, k):
dfdy[indx[51], indx[26]] = -(0)
dfdy[indx[51], indx[27]] = -(0)
dfdy[indx[51], indx[28]] = -(0)
- dfdy[indx[51], indx[29]] = -(k[472]*y[:,42])
- dfdy[indx[51], indx[30]] = -(k[470]*y[:,42] + k[475]*y[:,18] + k[479]*y[:,2])
- dfdy[indx[51], indx[31]] = -(-k[469]*y[:,51] + k[477]*y[:,4])
+ dfdy[indx[51], indx[29]] = -(k[470]*y[:,42])
+ dfdy[indx[51], indx[30]] = -(k[468]*y[:,42] + k[473]*y[:,18] + k[477]*y[:,0])
+ dfdy[indx[51], indx[31]] = -(-k[467]*y[:,51] + k[475]*y[:,4])
dfdy[indx[51], indx[32]] = -(0)
- dfdy[indx[51], indx[33]] = -(-k[471]*y[:,51])
+ dfdy[indx[51], indx[33]] = -(-k[469]*y[:,51])
dfdy[indx[51], indx[34]] = -(0)
dfdy[indx[51], indx[35]] = -(0)
dfdy[indx[51], indx[36]] = -(0)
@@ -10816,7 +11798,7 @@ def neg_symjac(y, M, k):
dfdy[indx[51], indx[39]] = -(0)
dfdy[indx[51], indx[40]] = -(0)
dfdy[indx[51], indx[41]] = -(0)
- dfdy[indx[51], indx[42]] = -(M*k[715] + k[470]*y[:,30] + k[472]*y[:,29] + k[474]*y[:,17] + k[481]*y[:,0] + k[483]*y[:,4] + k[485]*y[:,2] + k[799])
+ dfdy[indx[51], indx[42]] = -(M*k[777] + k[468]*y[:,30] + k[470]*y[:,29] + k[472]*y[:,17] + k[479]*y[:,3] + k[481]*y[:,4] + k[483]*y[:,0] + k[861])
dfdy[indx[51], indx[43]] = -(0)
dfdy[indx[51], indx[44]] = -(0)
dfdy[indx[51], indx[45]] = -(0)
@@ -10825,7 +11807,7 @@ def neg_symjac(y, M, k):
dfdy[indx[51], indx[48]] = -(0)
dfdy[indx[51], indx[49]] = -(0)
dfdy[indx[51], indx[50]] = -(0)
- dfdy[indx[51], indx[51]] = -(-k[469]*y[:,31] - k[471]*y[:,33] - k[473]*y[:,21] - k[476]*y[:,17] - k[478]*y[:,0] - k[480]*y[:,0] - k[482]*y[:,3] - k[484]*y[:,2] - k[486]*y[:,1] - k[716]*y[:,0] - k[800]*y[:,0])
+ dfdy[indx[51], indx[51]] = -(-k[467]*y[:,31] - k[469]*y[:,33] - k[471]*y[:,21] - k[474]*y[:,17] - k[476]*y[:,3] - k[478]*y[:,3] - k[480]*y[:,1] - k[482]*y[:,0] - k[484]*y[:,2] - k[778]*y[:,3] - k[862]*y[:,3])
dfdy[indx[51], indx[52]] = -(0)
dfdy[indx[51], indx[53]] = -(0)
dfdy[indx[51], indx[54]] = -(0)
@@ -10839,39 +11821,43 @@ def neg_symjac(y, M, k):
dfdy[indx[51], indx[62]] = -(0)
dfdy[indx[51], indx[63]] = -(0)
dfdy[indx[51], indx[64]] = -(0)
- dfdy[indx[52], indx[0]] = -(M*k[695]*y[:,25] - k[497]*y[:,52] - k[499]*y[:,52] - k[501]*y[:,52] + k[509]*y[:,53])
- dfdy[indx[52], indx[1]] = -(k[500]*y[:,4] - k[508]*y[:,52] + k[522]*y[:,25])
- dfdy[indx[52], indx[2]] = -(2*k[498]*y[:,2] + k[504]*y[:,18] - k[506]*y[:,52] + k[507]*y[:,53] + k[514]*y[:,25] - k[521]*y[:,52] + k[802]*y[:,4])
- dfdy[indx[52], indx[3]] = -(k[502]*y[:,25] - k[510]*y[:,52])
- dfdy[indx[52], indx[4]] = -(k[500]*y[:,1] + k[505]*y[:,53] - k[513]*y[:,52] + k[802]*y[:,2])
+ dfdy[indx[51], indx[65]] = -(0)
+ dfdy[indx[51], indx[66]] = -(0)
+ dfdy[indx[51], indx[67]] = -(0)
+ dfdy[indx[51], indx[68]] = -(0)
+ dfdy[indx[52], indx[0]] = -(2*k[496]*y[:,0] + k[502]*y[:,18] - k[504]*y[:,52] + k[505]*y[:,53] + k[512]*y[:,25] - k[519]*y[:,52] + k[604]*y[:,43] + k[864]*y[:,4])
+ dfdy[indx[52], indx[1]] = -(k[500]*y[:,25] - k[508]*y[:,52])
+ dfdy[indx[52], indx[2]] = -(k[498]*y[:,4] - k[506]*y[:,52] + k[520]*y[:,25])
+ dfdy[indx[52], indx[3]] = -(M*k[745]*y[:,25] - k[495]*y[:,52] - k[497]*y[:,52] - k[499]*y[:,52] + k[507]*y[:,53])
+ dfdy[indx[52], indx[4]] = -(k[498]*y[:,2] + k[503]*y[:,53] - k[511]*y[:,52] + k[864]*y[:,0])
dfdy[indx[52], indx[5]] = -(0)
dfdy[indx[52], indx[6]] = -(0)
dfdy[indx[52], indx[7]] = -(0)
- dfdy[indx[52], indx[8]] = -(-k[516]*y[:,52] + k[548]*y[:,53])
- dfdy[indx[52], indx[9]] = -(k[515]*y[:,25] - k[547]*y[:,52])
+ dfdy[indx[52], indx[8]] = -(-k[513]*y[:,52] + k[548]*y[:,53])
+ dfdy[indx[52], indx[9]] = -(k[514]*y[:,25] - k[547]*y[:,52])
dfdy[indx[52], indx[10]] = -(0)
dfdy[indx[52], indx[11]] = -(0)
dfdy[indx[52], indx[12]] = -(0)
dfdy[indx[52], indx[13]] = -(0)
dfdy[indx[52], indx[14]] = -(0)
- dfdy[indx[52], indx[15]] = -(-k[518]*y[:,52])
- dfdy[indx[52], indx[16]] = -(k[517]*y[:,25])
- dfdy[indx[52], indx[17]] = -(-k[503]*y[:,52] - k[520]*y[:,52])
- dfdy[indx[52], indx[18]] = -(k[504]*y[:,2])
+ dfdy[indx[52], indx[15]] = -(-k[515]*y[:,52])
+ dfdy[indx[52], indx[16]] = -(k[516]*y[:,25])
+ dfdy[indx[52], indx[17]] = -(-k[501]*y[:,52] - k[518]*y[:,52])
+ dfdy[indx[52], indx[18]] = -(k[502]*y[:,0])
dfdy[indx[52], indx[19]] = -(0)
- dfdy[indx[52], indx[20]] = -(0)
- dfdy[indx[52], indx[21]] = -(k[519]*y[:,25])
- dfdy[indx[52], indx[22]] = -(0)
+ dfdy[indx[52], indx[20]] = -(k[605]*y[:,25] - k[610]*y[:,52])
+ dfdy[indx[52], indx[21]] = -(k[517]*y[:,25] - k[606]*y[:,52])
+ dfdy[indx[52], indx[22]] = -(k[609]*y[:,25])
dfdy[indx[52], indx[23]] = -(0)
dfdy[indx[52], indx[24]] = -(0)
- dfdy[indx[52], indx[25]] = -(2*M*k[692]*y[:,53] + M*k[695]*y[:,0] + k[502]*y[:,3] + k[514]*y[:,2] + k[515]*y[:,9] + k[517]*y[:,16] + k[519]*y[:,21] + k[522]*y[:,1] + k[550]*y[:,35])
+ dfdy[indx[52], indx[25]] = -(2*M*k[742]*y[:,53] + M*k[745]*y[:,3] + k[500]*y[:,1] + k[512]*y[:,0] + k[514]*y[:,9] + k[516]*y[:,16] + k[517]*y[:,21] + k[520]*y[:,2] + k[550]*y[:,35] + k[605]*y[:,20] + k[609]*y[:,22] + 2*k[614]*y[:,53])
dfdy[indx[52], indx[26]] = -(0)
dfdy[indx[52], indx[27]] = -(0)
dfdy[indx[52], indx[28]] = -(0)
dfdy[indx[52], indx[29]] = -(0)
dfdy[indx[52], indx[30]] = -(0)
dfdy[indx[52], indx[31]] = -(0)
- dfdy[indx[52], indx[32]] = -(0)
+ dfdy[indx[52], indx[32]] = -(-k[603]*y[:,52])
dfdy[indx[52], indx[33]] = -(-k[549]*y[:,52])
dfdy[indx[52], indx[34]] = -(0)
dfdy[indx[52], indx[35]] = -(k[550]*y[:,25])
@@ -10882,7 +11868,7 @@ def neg_symjac(y, M, k):
dfdy[indx[52], indx[40]] = -(0)
dfdy[indx[52], indx[41]] = -(0)
dfdy[indx[52], indx[42]] = -(0)
- dfdy[indx[52], indx[43]] = -(0)
+ dfdy[indx[52], indx[43]] = -(k[604]*y[:,0])
dfdy[indx[52], indx[44]] = -(0)
dfdy[indx[52], indx[45]] = -(0)
dfdy[indx[52], indx[46]] = -(0)
@@ -10891,8 +11877,8 @@ def neg_symjac(y, M, k):
dfdy[indx[52], indx[49]] = -(0)
dfdy[indx[52], indx[50]] = -(0)
dfdy[indx[52], indx[51]] = -(0)
- dfdy[indx[52], indx[52]] = -(-4*M*k[691]*y[:,52] - M*k[696] - k[497]*y[:,0] - k[499]*y[:,0] - k[501]*y[:,0] - k[503]*y[:,17] - k[506]*y[:,2] - k[508]*y[:,1] - k[510]*y[:,3] - k[513]*y[:,4] - k[516]*y[:,8] - k[518]*y[:,15] - k[520]*y[:,17] - k[521]*y[:,2] - k[547]*y[:,9] - k[549]*y[:,33] - k[801])
- dfdy[indx[52], indx[53]] = -(2*M*k[692]*y[:,25] + k[505]*y[:,4] + k[507]*y[:,2] + k[509]*y[:,0] + k[548]*y[:,8])
+ dfdy[indx[52], indx[52]] = -(-4*M*k[741]*y[:,52] - M*k[746] - k[495]*y[:,3] - k[497]*y[:,3] - k[499]*y[:,3] - k[501]*y[:,17] - k[504]*y[:,0] - k[506]*y[:,2] - k[508]*y[:,1] - k[511]*y[:,4] - k[513]*y[:,8] - k[515]*y[:,15] - k[518]*y[:,17] - k[519]*y[:,0] - k[547]*y[:,9] - k[549]*y[:,33] - k[603]*y[:,32] - k[606]*y[:,21] - k[610]*y[:,20] - 4*k[613]*y[:,52] - k[863])
+ dfdy[indx[52], indx[53]] = -(2*M*k[742]*y[:,25] + k[503]*y[:,4] + k[505]*y[:,0] + k[507]*y[:,3] + k[548]*y[:,8] + 2*k[614]*y[:,25])
dfdy[indx[52], indx[54]] = -(0)
dfdy[indx[52], indx[55]] = -(0)
dfdy[indx[52], indx[56]] = -(0)
@@ -10904,11 +11890,15 @@ def neg_symjac(y, M, k):
dfdy[indx[52], indx[62]] = -(0)
dfdy[indx[52], indx[63]] = -(0)
dfdy[indx[52], indx[64]] = -(0)
- dfdy[indx[53], indx[0]] = -(-k[509]*y[:,53] - k[511]*y[:,53])
- dfdy[indx[53], indx[1]] = -(k[508]*y[:,52] + k[512]*y[:,2])
- dfdy[indx[53], indx[2]] = -(2*M*k[693]*y[:,2] + k[506]*y[:,52] - k[507]*y[:,53] + k[512]*y[:,1])
- dfdy[indx[53], indx[3]] = -(k[510]*y[:,52])
- dfdy[indx[53], indx[4]] = -(-k[505]*y[:,53])
+ dfdy[indx[52], indx[65]] = -(0)
+ dfdy[indx[52], indx[66]] = -(0)
+ dfdy[indx[52], indx[67]] = -(0)
+ dfdy[indx[52], indx[68]] = -(0)
+ dfdy[indx[53], indx[0]] = -(2*M*k[743]*y[:,0] + k[504]*y[:,52] - k[505]*y[:,53] + k[510]*y[:,2])
+ dfdy[indx[53], indx[1]] = -(k[508]*y[:,52])
+ dfdy[indx[53], indx[2]] = -(k[506]*y[:,52] + k[510]*y[:,0])
+ dfdy[indx[53], indx[3]] = -(-k[507]*y[:,53] - k[509]*y[:,53])
+ dfdy[indx[53], indx[4]] = -(-k[503]*y[:,53])
dfdy[indx[53], indx[5]] = -(0)
dfdy[indx[53], indx[6]] = -(0)
dfdy[indx[53], indx[7]] = -(0)
@@ -10929,7 +11919,7 @@ def neg_symjac(y, M, k):
dfdy[indx[53], indx[22]] = -(0)
dfdy[indx[53], indx[23]] = -(0)
dfdy[indx[53], indx[24]] = -(0)
- dfdy[indx[53], indx[25]] = -(-M*k[692]*y[:,53])
+ dfdy[indx[53], indx[25]] = -(-M*k[742]*y[:,53] - k[614]*y[:,53])
dfdy[indx[53], indx[26]] = -(0)
dfdy[indx[53], indx[27]] = -(0)
dfdy[indx[53], indx[28]] = -(0)
@@ -10956,8 +11946,8 @@ def neg_symjac(y, M, k):
dfdy[indx[53], indx[49]] = -(0)
dfdy[indx[53], indx[50]] = -(0)
dfdy[indx[53], indx[51]] = -(0)
- dfdy[indx[53], indx[52]] = -(2*M*k[691]*y[:,52] + k[506]*y[:,2] + k[508]*y[:,1] + k[510]*y[:,3] + k[547]*y[:,9])
- dfdy[indx[53], indx[53]] = -(-M*k[692]*y[:,25] - M*k[694] - k[505]*y[:,4] - k[507]*y[:,2] - k[509]*y[:,0] - k[511]*y[:,0] - k[548]*y[:,8])
+ dfdy[indx[53], indx[52]] = -(2*M*k[741]*y[:,52] + k[504]*y[:,0] + k[506]*y[:,2] + k[508]*y[:,1] + k[547]*y[:,9] + 2*k[613]*y[:,52])
+ dfdy[indx[53], indx[53]] = -(-M*k[742]*y[:,25] - M*k[744] - k[503]*y[:,4] - k[505]*y[:,0] - k[507]*y[:,3] - k[509]*y[:,3] - k[548]*y[:,8] - k[614]*y[:,25])
dfdy[indx[53], indx[54]] = -(0)
dfdy[indx[53], indx[55]] = -(0)
dfdy[indx[53], indx[56]] = -(0)
@@ -10969,19 +11959,23 @@ def neg_symjac(y, M, k):
dfdy[indx[53], indx[62]] = -(0)
dfdy[indx[53], indx[63]] = -(0)
dfdy[indx[53], indx[64]] = -(0)
- dfdy[indx[54], indx[0]] = -(-k[526]*y[:,54] - k[528]*y[:,54] - k[564]*y[:,54])
- dfdy[indx[54], indx[1]] = -(0)
+ dfdy[indx[53], indx[65]] = -(0)
+ dfdy[indx[53], indx[66]] = -(0)
+ dfdy[indx[53], indx[67]] = -(0)
+ dfdy[indx[53], indx[68]] = -(0)
+ dfdy[indx[54], indx[0]] = -(0)
+ dfdy[indx[54], indx[1]] = -(-k[562]*y[:,54])
dfdy[indx[54], indx[2]] = -(0)
- dfdy[indx[54], indx[3]] = -(-k[562]*y[:,54])
+ dfdy[indx[54], indx[3]] = -(-k[524]*y[:,54] - k[526]*y[:,54] - k[564]*y[:,54])
dfdy[indx[54], indx[4]] = -(0)
dfdy[indx[54], indx[5]] = -(0)
dfdy[indx[54], indx[6]] = -(0)
dfdy[indx[54], indx[7]] = -(0)
dfdy[indx[54], indx[8]] = -(0)
dfdy[indx[54], indx[9]] = -(0)
- dfdy[indx[54], indx[10]] = -(k[543]*y[:,57])
- dfdy[indx[54], indx[11]] = -(k[525]*y[:,30] - k[544]*y[:,54])
- dfdy[indx[54], indx[12]] = -(k[527]*y[:,31])
+ dfdy[indx[54], indx[10]] = -(k[541]*y[:,57])
+ dfdy[indx[54], indx[11]] = -(k[523]*y[:,30] - k[542]*y[:,54])
+ dfdy[indx[54], indx[12]] = -(k[525]*y[:,31])
dfdy[indx[54], indx[13]] = -(0)
dfdy[indx[54], indx[14]] = -(0)
dfdy[indx[54], indx[15]] = -(0)
@@ -10999,8 +11993,8 @@ def neg_symjac(y, M, k):
dfdy[indx[54], indx[27]] = -(0)
dfdy[indx[54], indx[28]] = -(k[561]*y[:,58] + k[563]*y[:,59])
dfdy[indx[54], indx[29]] = -(0)
- dfdy[indx[54], indx[30]] = -(k[525]*y[:,11])
- dfdy[indx[54], indx[31]] = -(k[527]*y[:,12])
+ dfdy[indx[54], indx[30]] = -(k[523]*y[:,11])
+ dfdy[indx[54], indx[31]] = -(k[525]*y[:,12])
dfdy[indx[54], indx[32]] = -(0)
dfdy[indx[54], indx[33]] = -(0)
dfdy[indx[54], indx[34]] = -(0)
@@ -11023,10 +12017,10 @@ def neg_symjac(y, M, k):
dfdy[indx[54], indx[51]] = -(0)
dfdy[indx[54], indx[52]] = -(0)
dfdy[indx[54], indx[53]] = -(0)
- dfdy[indx[54], indx[54]] = -(-k[526]*y[:,0] - k[528]*y[:,0] - k[544]*y[:,11] - k[562]*y[:,3] - k[564]*y[:,0])
+ dfdy[indx[54], indx[54]] = -(-k[524]*y[:,3] - k[526]*y[:,3] - k[542]*y[:,11] - k[562]*y[:,1] - k[564]*y[:,3])
dfdy[indx[54], indx[55]] = -(0)
dfdy[indx[54], indx[56]] = -(0)
- dfdy[indx[54], indx[57]] = -(k[543]*y[:,10])
+ dfdy[indx[54], indx[57]] = -(k[541]*y[:,10])
dfdy[indx[54], indx[58]] = -(k[561]*y[:,28])
dfdy[indx[54], indx[59]] = -(k[563]*y[:,28])
dfdy[indx[54], indx[60]] = -(0)
@@ -11034,15 +12028,19 @@ def neg_symjac(y, M, k):
dfdy[indx[54], indx[62]] = -(0)
dfdy[indx[54], indx[63]] = -(0)
dfdy[indx[54], indx[64]] = -(0)
- dfdy[indx[55], indx[0]] = -(M*k[697]*y[:,56] - k[529]*y[:,55] - k[531]*y[:,55])
- dfdy[indx[55], indx[1]] = -(k[534]*y[:,56])
- dfdy[indx[55], indx[2]] = -(-k[533]*y[:,55] + k[536]*y[:,56])
- dfdy[indx[55], indx[3]] = -(k[532]*y[:,56])
- dfdy[indx[55], indx[4]] = -(-k[535]*y[:,55])
+ dfdy[indx[54], indx[65]] = -(0)
+ dfdy[indx[54], indx[66]] = -(0)
+ dfdy[indx[54], indx[67]] = -(0)
+ dfdy[indx[54], indx[68]] = -(0)
+ dfdy[indx[55], indx[0]] = -(-k[531]*y[:,55] + k[534]*y[:,56])
+ dfdy[indx[55], indx[1]] = -(k[530]*y[:,56])
+ dfdy[indx[55], indx[2]] = -(k[532]*y[:,56])
+ dfdy[indx[55], indx[3]] = -(M*k[747]*y[:,56] - k[527]*y[:,55] - k[529]*y[:,55])
+ dfdy[indx[55], indx[4]] = -(-k[533]*y[:,55])
dfdy[indx[55], indx[5]] = -(0)
dfdy[indx[55], indx[6]] = -(0)
dfdy[indx[55], indx[7]] = -(0)
- dfdy[indx[55], indx[8]] = -(k[530]*y[:,31])
+ dfdy[indx[55], indx[8]] = -(k[528]*y[:,31])
dfdy[indx[55], indx[9]] = -(0)
dfdy[indx[55], indx[10]] = -(0)
dfdy[indx[55], indx[11]] = -(0)
@@ -11065,7 +12063,7 @@ def neg_symjac(y, M, k):
dfdy[indx[55], indx[28]] = -(0)
dfdy[indx[55], indx[29]] = -(0)
dfdy[indx[55], indx[30]] = -(0)
- dfdy[indx[55], indx[31]] = -(k[530]*y[:,8])
+ dfdy[indx[55], indx[31]] = -(k[528]*y[:,8])
dfdy[indx[55], indx[32]] = -(0)
dfdy[indx[55], indx[33]] = -(0)
dfdy[indx[55], indx[34]] = -(0)
@@ -11089,8 +12087,8 @@ def neg_symjac(y, M, k):
dfdy[indx[55], indx[52]] = -(0)
dfdy[indx[55], indx[53]] = -(0)
dfdy[indx[55], indx[54]] = -(0)
- dfdy[indx[55], indx[55]] = -(-M*k[698] - k[529]*y[:,0] - k[531]*y[:,0] - k[533]*y[:,2] - k[535]*y[:,4])
- dfdy[indx[55], indx[56]] = -(M*k[697]*y[:,0] + k[532]*y[:,3] + k[534]*y[:,1] + k[536]*y[:,2])
+ dfdy[indx[55], indx[55]] = -(-M*k[748] - k[527]*y[:,3] - k[529]*y[:,3] - k[531]*y[:,0] - k[533]*y[:,4])
+ dfdy[indx[55], indx[56]] = -(M*k[747]*y[:,3] + k[530]*y[:,1] + k[532]*y[:,2] + k[534]*y[:,0])
dfdy[indx[55], indx[57]] = -(0)
dfdy[indx[55], indx[58]] = -(0)
dfdy[indx[55], indx[59]] = -(0)
@@ -11099,20 +12097,24 @@ def neg_symjac(y, M, k):
dfdy[indx[55], indx[62]] = -(0)
dfdy[indx[55], indx[63]] = -(0)
dfdy[indx[55], indx[64]] = -(0)
- dfdy[indx[56], indx[0]] = -(-M*k[697]*y[:,56] + k[531]*y[:,55] - k[546]*y[:,56])
- dfdy[indx[56], indx[1]] = -(-k[534]*y[:,56])
- dfdy[indx[56], indx[2]] = -(k[533]*y[:,55] - k[536]*y[:,56])
- dfdy[indx[56], indx[3]] = -(-k[532]*y[:,56])
- dfdy[indx[56], indx[4]] = -(k[535]*y[:,55])
+ dfdy[indx[55], indx[65]] = -(0)
+ dfdy[indx[55], indx[66]] = -(0)
+ dfdy[indx[55], indx[67]] = -(0)
+ dfdy[indx[55], indx[68]] = -(0)
+ dfdy[indx[56], indx[0]] = -(k[531]*y[:,55] - k[534]*y[:,56])
+ dfdy[indx[56], indx[1]] = -(-k[530]*y[:,56])
+ dfdy[indx[56], indx[2]] = -(-k[532]*y[:,56])
+ dfdy[indx[56], indx[3]] = -(-M*k[747]*y[:,56] + k[529]*y[:,55] - k[544]*y[:,56] - k[612]*y[:,56])
+ dfdy[indx[56], indx[4]] = -(k[533]*y[:,55] - k[545]*y[:,56])
dfdy[indx[56], indx[5]] = -(0)
dfdy[indx[56], indx[6]] = -(0)
dfdy[indx[56], indx[7]] = -(0)
- dfdy[indx[56], indx[8]] = -(0)
+ dfdy[indx[56], indx[8]] = -(k[611]*y[:,30])
dfdy[indx[56], indx[9]] = -(0)
dfdy[indx[56], indx[10]] = -(0)
dfdy[indx[56], indx[11]] = -(0)
dfdy[indx[56], indx[12]] = -(0)
- dfdy[indx[56], indx[13]] = -(k[545]*y[:,28])
+ dfdy[indx[56], indx[13]] = -(k[543]*y[:,28])
dfdy[indx[56], indx[14]] = -(0)
dfdy[indx[56], indx[15]] = -(0)
dfdy[indx[56], indx[16]] = -(0)
@@ -11120,17 +12122,17 @@ def neg_symjac(y, M, k):
dfdy[indx[56], indx[18]] = -(0)
dfdy[indx[56], indx[19]] = -(0)
dfdy[indx[56], indx[20]] = -(0)
- dfdy[indx[56], indx[21]] = -(0)
+ dfdy[indx[56], indx[21]] = -(k[546]*y[:,31])
dfdy[indx[56], indx[22]] = -(0)
dfdy[indx[56], indx[23]] = -(0)
dfdy[indx[56], indx[24]] = -(0)
dfdy[indx[56], indx[25]] = -(0)
dfdy[indx[56], indx[26]] = -(0)
dfdy[indx[56], indx[27]] = -(0)
- dfdy[indx[56], indx[28]] = -(k[545]*y[:,13])
+ dfdy[indx[56], indx[28]] = -(k[543]*y[:,13])
dfdy[indx[56], indx[29]] = -(0)
- dfdy[indx[56], indx[30]] = -(0)
- dfdy[indx[56], indx[31]] = -(0)
+ dfdy[indx[56], indx[30]] = -(k[611]*y[:,8])
+ dfdy[indx[56], indx[31]] = -(k[546]*y[:,21])
dfdy[indx[56], indx[32]] = -(0)
dfdy[indx[56], indx[33]] = -(0)
dfdy[indx[56], indx[34]] = -(0)
@@ -11154,8 +12156,8 @@ def neg_symjac(y, M, k):
dfdy[indx[56], indx[52]] = -(0)
dfdy[indx[56], indx[53]] = -(0)
dfdy[indx[56], indx[54]] = -(0)
- dfdy[indx[56], indx[55]] = -(M*k[698] + k[531]*y[:,0] + k[533]*y[:,2] + k[535]*y[:,4])
- dfdy[indx[56], indx[56]] = -(-M*k[697]*y[:,0] - k[532]*y[:,3] - k[534]*y[:,1] - k[536]*y[:,2] - k[546]*y[:,0])
+ dfdy[indx[56], indx[55]] = -(M*k[748] + k[529]*y[:,3] + k[531]*y[:,0] + k[533]*y[:,4])
+ dfdy[indx[56], indx[56]] = -(-M*k[747]*y[:,3] - k[530]*y[:,1] - k[532]*y[:,2] - k[534]*y[:,0] - k[544]*y[:,3] - k[545]*y[:,4] - k[612]*y[:,3])
dfdy[indx[56], indx[57]] = -(0)
dfdy[indx[56], indx[58]] = -(0)
dfdy[indx[56], indx[59]] = -(0)
@@ -11164,21 +12166,25 @@ def neg_symjac(y, M, k):
dfdy[indx[56], indx[62]] = -(0)
dfdy[indx[56], indx[63]] = -(0)
dfdy[indx[56], indx[64]] = -(0)
- dfdy[indx[57], indx[0]] = -(-k[538]*y[:,57] - k[540]*y[:,57])
+ dfdy[indx[56], indx[65]] = -(0)
+ dfdy[indx[56], indx[66]] = -(0)
+ dfdy[indx[56], indx[67]] = -(0)
+ dfdy[indx[56], indx[68]] = -(0)
+ dfdy[indx[57], indx[0]] = -(0)
dfdy[indx[57], indx[1]] = -(0)
dfdy[indx[57], indx[2]] = -(0)
- dfdy[indx[57], indx[3]] = -(0)
+ dfdy[indx[57], indx[3]] = -(-k[536]*y[:,57] - k[538]*y[:,57])
dfdy[indx[57], indx[4]] = -(0)
dfdy[indx[57], indx[5]] = -(0)
dfdy[indx[57], indx[6]] = -(0)
dfdy[indx[57], indx[7]] = -(0)
dfdy[indx[57], indx[8]] = -(0)
dfdy[indx[57], indx[9]] = -(0)
- dfdy[indx[57], indx[10]] = -(-k[541]*y[:,57] - k[543]*y[:,57])
- dfdy[indx[57], indx[11]] = -(k[544]*y[:,54])
+ dfdy[indx[57], indx[10]] = -(-k[539]*y[:,57] - k[541]*y[:,57])
+ dfdy[indx[57], indx[11]] = -(k[542]*y[:,54])
dfdy[indx[57], indx[12]] = -(0)
- dfdy[indx[57], indx[13]] = -(k[539]*y[:,31])
- dfdy[indx[57], indx[14]] = -(k[537]*y[:,30])
+ dfdy[indx[57], indx[13]] = -(k[537]*y[:,31])
+ dfdy[indx[57], indx[14]] = -(k[535]*y[:,30])
dfdy[indx[57], indx[15]] = -(0)
dfdy[indx[57], indx[16]] = -(0)
dfdy[indx[57], indx[17]] = -(0)
@@ -11194,8 +12200,8 @@ def neg_symjac(y, M, k):
dfdy[indx[57], indx[27]] = -(0)
dfdy[indx[57], indx[28]] = -(0)
dfdy[indx[57], indx[29]] = -(0)
- dfdy[indx[57], indx[30]] = -(k[537]*y[:,14])
- dfdy[indx[57], indx[31]] = -(k[539]*y[:,13] + k[542]*y[:,45])
+ dfdy[indx[57], indx[30]] = -(k[535]*y[:,14])
+ dfdy[indx[57], indx[31]] = -(k[537]*y[:,13] + k[540]*y[:,45])
dfdy[indx[57], indx[32]] = -(0)
dfdy[indx[57], indx[33]] = -(0)
dfdy[indx[57], indx[34]] = -(0)
@@ -11209,7 +12215,7 @@ def neg_symjac(y, M, k):
dfdy[indx[57], indx[42]] = -(0)
dfdy[indx[57], indx[43]] = -(0)
dfdy[indx[57], indx[44]] = -(0)
- dfdy[indx[57], indx[45]] = -(k[542]*y[:,31])
+ dfdy[indx[57], indx[45]] = -(k[540]*y[:,31])
dfdy[indx[57], indx[46]] = -(0)
dfdy[indx[57], indx[47]] = -(0)
dfdy[indx[57], indx[48]] = -(0)
@@ -11218,10 +12224,10 @@ def neg_symjac(y, M, k):
dfdy[indx[57], indx[51]] = -(0)
dfdy[indx[57], indx[52]] = -(0)
dfdy[indx[57], indx[53]] = -(0)
- dfdy[indx[57], indx[54]] = -(k[544]*y[:,11])
+ dfdy[indx[57], indx[54]] = -(k[542]*y[:,11])
dfdy[indx[57], indx[55]] = -(0)
dfdy[indx[57], indx[56]] = -(0)
- dfdy[indx[57], indx[57]] = -(-k[538]*y[:,0] - k[540]*y[:,0] - k[541]*y[:,10] - k[543]*y[:,10])
+ dfdy[indx[57], indx[57]] = -(-k[536]*y[:,3] - k[538]*y[:,3] - k[539]*y[:,10] - k[541]*y[:,10])
dfdy[indx[57], indx[58]] = -(0)
dfdy[indx[57], indx[59]] = -(0)
dfdy[indx[57], indx[60]] = -(0)
@@ -11229,18 +12235,22 @@ def neg_symjac(y, M, k):
dfdy[indx[57], indx[62]] = -(0)
dfdy[indx[57], indx[63]] = -(0)
dfdy[indx[57], indx[64]] = -(0)
- dfdy[indx[58], indx[0]] = -(M*k[699]*y[:,59] - k[568]*y[:,58] - k[574]*y[:,58] - k[598]*y[:,58])
- dfdy[indx[58], indx[1]] = -(0)
- dfdy[indx[58], indx[2]] = -(-k[557]*y[:,58] - k[560]*y[:,58])
- dfdy[indx[58], indx[3]] = -(k[562]*y[:,54])
+ dfdy[indx[57], indx[65]] = -(0)
+ dfdy[indx[57], indx[66]] = -(0)
+ dfdy[indx[57], indx[67]] = -(0)
+ dfdy[indx[57], indx[68]] = -(0)
+ dfdy[indx[58], indx[0]] = -(-k[557]*y[:,58] - k[560]*y[:,58])
+ dfdy[indx[58], indx[1]] = -(k[562]*y[:,54])
+ dfdy[indx[58], indx[2]] = -(0)
+ dfdy[indx[58], indx[3]] = -(M*k[749]*y[:,59] - M*k[755]*y[:,58] - k[568]*y[:,58] - k[574]*y[:,58] + k[584]*y[:,61] - k[642]*y[:,58])
dfdy[indx[58], indx[4]] = -(0)
- dfdy[indx[58], indx[5]] = -(0)
+ dfdy[indx[58], indx[5]] = -(-k[583]*y[:,58])
dfdy[indx[58], indx[6]] = -(0)
dfdy[indx[58], indx[7]] = -(k[567]*y[:,11])
dfdy[indx[58], indx[8]] = -(-k[554]*y[:,58] - k[556]*y[:,58] + k[573]*y[:,12])
dfdy[indx[58], indx[9]] = -(0)
dfdy[indx[58], indx[10]] = -(0)
- dfdy[indx[58], indx[11]] = -(k[567]*y[:,7] + k[597]*y[:,61])
+ dfdy[indx[58], indx[11]] = -(k[567]*y[:,7] + k[641]*y[:,66])
dfdy[indx[58], indx[12]] = -(k[553]*y[:,15] + k[559]*y[:,19] + k[573]*y[:,8])
dfdy[indx[58], indx[13]] = -(2*k[555]*y[:,13] + k[558]*y[:,21])
dfdy[indx[58], indx[14]] = -(0)
@@ -11283,29 +12293,33 @@ def neg_symjac(y, M, k):
dfdy[indx[58], indx[51]] = -(0)
dfdy[indx[58], indx[52]] = -(0)
dfdy[indx[58], indx[53]] = -(0)
- dfdy[indx[58], indx[54]] = -(k[562]*y[:,3])
+ dfdy[indx[58], indx[54]] = -(k[562]*y[:,1])
dfdy[indx[58], indx[55]] = -(0)
dfdy[indx[58], indx[56]] = -(0)
dfdy[indx[58], indx[57]] = -(0)
- dfdy[indx[58], indx[58]] = -(-M*k[700] - 4*M*k[701]*y[:,58] - k[554]*y[:,8] - k[556]*y[:,8] - k[557]*y[:,2] - k[560]*y[:,2] - k[561]*y[:,28] - k[568]*y[:,0] - k[574]*y[:,0] - k[598]*y[:,0] - 4*k[808]*y[:,58])
- dfdy[indx[58], indx[59]] = -(M*k[699]*y[:,0])
- dfdy[indx[58], indx[60]] = -(0)
- dfdy[indx[58], indx[61]] = -(k[597]*y[:,11])
+ dfdy[indx[58], indx[58]] = -(-M*k[750] - 4*M*k[751]*y[:,58] - M*k[755]*y[:,3] - k[554]*y[:,8] - k[556]*y[:,8] - k[557]*y[:,0] - k[560]*y[:,0] - k[561]*y[:,28] - k[568]*y[:,3] - k[574]*y[:,3] - k[583]*y[:,5] - k[642]*y[:,3] - 4*k[876]*y[:,58])
+ dfdy[indx[58], indx[59]] = -(M*k[749]*y[:,3])
+ dfdy[indx[58], indx[60]] = -(M*k[756])
+ dfdy[indx[58], indx[61]] = -(k[584]*y[:,3])
dfdy[indx[58], indx[62]] = -(0)
- dfdy[indx[58], indx[63]] = -(0)
- dfdy[indx[58], indx[64]] = -(2*M*k[702] + 2*k[807])
- dfdy[indx[59], indx[0]] = -(-M*k[699]*y[:,59] + k[564]*y[:,54] - k[570]*y[:,59] - k[572]*y[:,59])
- dfdy[indx[59], indx[1]] = -(0)
+ dfdy[indx[58], indx[63]] = -(2*M*k[752] + 2*k[875])
+ dfdy[indx[58], indx[64]] = -(0)
+ dfdy[indx[58], indx[65]] = -(0)
+ dfdy[indx[58], indx[66]] = -(k[641]*y[:,11])
+ dfdy[indx[58], indx[67]] = -(0)
+ dfdy[indx[58], indx[68]] = -(0)
+ dfdy[indx[59], indx[0]] = -(0)
+ dfdy[indx[59], indx[1]] = -(-k[566]*y[:,59])
dfdy[indx[59], indx[2]] = -(0)
- dfdy[indx[59], indx[3]] = -(-k[566]*y[:,59])
+ dfdy[indx[59], indx[3]] = -(-M*k[749]*y[:,59] + k[564]*y[:,54] - k[570]*y[:,59] - k[572]*y[:,59])
dfdy[indx[59], indx[4]] = -(0)
dfdy[indx[59], indx[5]] = -(k[571]*y[:,11])
- dfdy[indx[59], indx[6]] = -(0)
+ dfdy[indx[59], indx[6]] = -(k[593]*y[:,11])
dfdy[indx[59], indx[7]] = -(k[565]*y[:,11] + k[569]*y[:,12])
dfdy[indx[59], indx[8]] = -(0)
dfdy[indx[59], indx[9]] = -(0)
dfdy[indx[59], indx[10]] = -(0)
- dfdy[indx[59], indx[11]] = -(k[565]*y[:,7] + k[571]*y[:,5])
+ dfdy[indx[59], indx[11]] = -(k[565]*y[:,7] + k[571]*y[:,5] + k[593]*y[:,6])
dfdy[indx[59], indx[12]] = -(k[569]*y[:,7])
dfdy[indx[59], indx[13]] = -(0)
dfdy[indx[59], indx[14]] = -(0)
@@ -11348,53 +12362,57 @@ def neg_symjac(y, M, k):
dfdy[indx[59], indx[51]] = -(0)
dfdy[indx[59], indx[52]] = -(0)
dfdy[indx[59], indx[53]] = -(0)
- dfdy[indx[59], indx[54]] = -(k[564]*y[:,0])
+ dfdy[indx[59], indx[54]] = -(k[564]*y[:,3])
dfdy[indx[59], indx[55]] = -(0)
dfdy[indx[59], indx[56]] = -(0)
dfdy[indx[59], indx[57]] = -(0)
- dfdy[indx[59], indx[58]] = -(M*k[700])
- dfdy[indx[59], indx[59]] = -(-M*k[699]*y[:,0] - k[563]*y[:,28] - k[566]*y[:,3] - k[570]*y[:,0] - k[572]*y[:,0])
+ dfdy[indx[59], indx[58]] = -(M*k[750])
+ dfdy[indx[59], indx[59]] = -(-M*k[749]*y[:,3] - k[563]*y[:,28] - k[566]*y[:,1] - k[570]*y[:,3] - k[572]*y[:,3] - k[594])
dfdy[indx[59], indx[60]] = -(0)
dfdy[indx[59], indx[61]] = -(0)
dfdy[indx[59], indx[62]] = -(0)
dfdy[indx[59], indx[63]] = -(0)
dfdy[indx[59], indx[64]] = -(0)
- dfdy[indx[60], indx[0]] = -(k[576]*y[:,2])
- dfdy[indx[60], indx[1]] = -(-k[579]*y[:,60] + k[723])
- dfdy[indx[60], indx[2]] = -(k[576]*y[:,0] + k[578]*y[:,8] + 2*k[580]*y[:,2] + k[584]*y[:,33])
- dfdy[indx[60], indx[3]] = -(-k[575]*y[:,60] - k[724]*y[:,60])
- dfdy[indx[60], indx[4]] = -(k[582]*y[:,18] - k[806]*y[:,60])
+ dfdy[indx[59], indx[65]] = -(0)
+ dfdy[indx[59], indx[66]] = -(0)
+ dfdy[indx[59], indx[67]] = -(0)
+ dfdy[indx[59], indx[68]] = -(0)
+ dfdy[indx[60], indx[0]] = -(0)
+ dfdy[indx[60], indx[1]] = -(0)
+ dfdy[indx[60], indx[2]] = -(0)
+ dfdy[indx[60], indx[3]] = -(M*k[755]*y[:,58] - k[582]*y[:,60])
+ dfdy[indx[60], indx[4]] = -(0)
dfdy[indx[60], indx[5]] = -(0)
dfdy[indx[60], indx[6]] = -(0)
- dfdy[indx[60], indx[7]] = -(0)
- dfdy[indx[60], indx[8]] = -(k[578]*y[:,2])
- dfdy[indx[60], indx[9]] = -(-k[577]*y[:,60])
+ dfdy[indx[60], indx[7]] = -(M*k[757]*y[:,11])
+ dfdy[indx[60], indx[8]] = -(k[581]*y[:,11])
+ dfdy[indx[60], indx[9]] = -(0)
dfdy[indx[60], indx[10]] = -(0)
- dfdy[indx[60], indx[11]] = -(0)
+ dfdy[indx[60], indx[11]] = -(M*k[757]*y[:,7] + k[581]*y[:,8])
dfdy[indx[60], indx[12]] = -(0)
dfdy[indx[60], indx[13]] = -(0)
dfdy[indx[60], indx[14]] = -(0)
dfdy[indx[60], indx[15]] = -(0)
dfdy[indx[60], indx[16]] = -(0)
- dfdy[indx[60], indx[17]] = -(-k[585]*y[:,60] - k[748]*y[:,60])
- dfdy[indx[60], indx[18]] = -(-k[581]*y[:,60] + k[582]*y[:,4] + k[586] + k[747])
+ dfdy[indx[60], indx[17]] = -(0)
+ dfdy[indx[60], indx[18]] = -(0)
dfdy[indx[60], indx[19]] = -(0)
dfdy[indx[60], indx[20]] = -(0)
dfdy[indx[60], indx[21]] = -(0)
dfdy[indx[60], indx[22]] = -(0)
dfdy[indx[60], indx[23]] = -(0)
dfdy[indx[60], indx[24]] = -(0)
- dfdy[indx[60], indx[25]] = -(k[588]*y[:,32] + k[805])
+ dfdy[indx[60], indx[25]] = -(0)
dfdy[indx[60], indx[26]] = -(0)
dfdy[indx[60], indx[27]] = -(0)
dfdy[indx[60], indx[28]] = -(0)
dfdy[indx[60], indx[29]] = -(0)
dfdy[indx[60], indx[30]] = -(0)
dfdy[indx[60], indx[31]] = -(0)
- dfdy[indx[60], indx[32]] = -(k[588]*y[:,25])
- dfdy[indx[60], indx[33]] = -(k[584]*y[:,2])
+ dfdy[indx[60], indx[32]] = -(0)
+ dfdy[indx[60], indx[33]] = -(0)
dfdy[indx[60], indx[34]] = -(0)
- dfdy[indx[60], indx[35]] = -(-k[583]*y[:,60])
+ dfdy[indx[60], indx[35]] = -(0)
dfdy[indx[60], indx[36]] = -(0)
dfdy[indx[60], indx[37]] = -(0)
dfdy[indx[60], indx[38]] = -(0)
@@ -11402,7 +12420,7 @@ def neg_symjac(y, M, k):
dfdy[indx[60], indx[40]] = -(0)
dfdy[indx[60], indx[41]] = -(0)
dfdy[indx[60], indx[42]] = -(0)
- dfdy[indx[60], indx[43]] = -(-k[587]*y[:,60])
+ dfdy[indx[60], indx[43]] = -(0)
dfdy[indx[60], indx[44]] = -(0)
dfdy[indx[60], indx[45]] = -(0)
dfdy[indx[60], indx[46]] = -(0)
@@ -11417,31 +12435,35 @@ def neg_symjac(y, M, k):
dfdy[indx[60], indx[55]] = -(0)
dfdy[indx[60], indx[56]] = -(0)
dfdy[indx[60], indx[57]] = -(0)
- dfdy[indx[60], indx[58]] = -(0)
+ dfdy[indx[60], indx[58]] = -(M*k[755]*y[:,3])
dfdy[indx[60], indx[59]] = -(0)
- dfdy[indx[60], indx[60]] = -(-k[575]*y[:,3] - k[577]*y[:,9] - k[579]*y[:,1] - k[581]*y[:,18] - k[583]*y[:,35] - k[585]*y[:,17] - k[587]*y[:,43] - k[724]*y[:,3] - k[748]*y[:,17] - k[806]*y[:,4])
+ dfdy[indx[60], indx[60]] = -(-M*k[756] - M*k[758] - k[582]*y[:,3])
dfdy[indx[60], indx[61]] = -(0)
dfdy[indx[60], indx[62]] = -(0)
dfdy[indx[60], indx[63]] = -(0)
dfdy[indx[60], indx[64]] = -(0)
- dfdy[indx[61], indx[0]] = -(k[590]*y[:,8] + k[598]*y[:,58] - 2*k[732]*y[:,0]*y[:,61] - k[738]*y[:,61])
- dfdy[indx[61], indx[1]] = -(-k[593]*y[:,61] + k[594]*y[:,7])
+ dfdy[indx[60], indx[65]] = -(0)
+ dfdy[indx[60], indx[66]] = -(0)
+ dfdy[indx[60], indx[67]] = -(0)
+ dfdy[indx[60], indx[68]] = -(0)
+ dfdy[indx[61], indx[0]] = -(0)
+ dfdy[indx[61], indx[1]] = -(0)
dfdy[indx[61], indx[2]] = -(0)
- dfdy[indx[61], indx[3]] = -(-k[589]*y[:,61] - k[591]*y[:,61] + k[592]*y[:,7] - k[730]*y[:,61])
+ dfdy[indx[61], indx[3]] = -(M*k[761]*y[:,45] - k[584]*y[:,61])
dfdy[indx[61], indx[4]] = -(0)
- dfdy[indx[61], indx[5]] = -(0)
+ dfdy[indx[61], indx[5]] = -(k[583]*y[:,58])
dfdy[indx[61], indx[6]] = -(0)
- dfdy[indx[61], indx[7]] = -(k[592]*y[:,3] + k[594]*y[:,1] + k[596]*y[:,17])
- dfdy[indx[61], indx[8]] = -(k[590]*y[:,0] + k[737])
- dfdy[indx[61], indx[9]] = -(k[729] + k[731] - k[762]*y[:,61])
+ dfdy[indx[61], indx[7]] = -(0)
+ dfdy[indx[61], indx[8]] = -(0)
+ dfdy[indx[61], indx[9]] = -(0)
dfdy[indx[61], indx[10]] = -(0)
- dfdy[indx[61], indx[11]] = -(-k[597]*y[:,61])
+ dfdy[indx[61], indx[11]] = -(-M*k[763]*y[:,61])
dfdy[indx[61], indx[12]] = -(0)
dfdy[indx[61], indx[13]] = -(0)
dfdy[indx[61], indx[14]] = -(0)
dfdy[indx[61], indx[15]] = -(0)
- dfdy[indx[61], indx[16]] = -(k[761])
- dfdy[indx[61], indx[17]] = -(-k[595]*y[:,61] + k[596]*y[:,7])
+ dfdy[indx[61], indx[16]] = -(0)
+ dfdy[indx[61], indx[17]] = -(0)
dfdy[indx[61], indx[18]] = -(0)
dfdy[indx[61], indx[19]] = -(0)
dfdy[indx[61], indx[20]] = -(0)
@@ -11469,7 +12491,7 @@ def neg_symjac(y, M, k):
dfdy[indx[61], indx[42]] = -(0)
dfdy[indx[61], indx[43]] = -(0)
dfdy[indx[61], indx[44]] = -(0)
- dfdy[indx[61], indx[45]] = -(0)
+ dfdy[indx[61], indx[45]] = -(M*k[761]*y[:,3])
dfdy[indx[61], indx[46]] = -(0)
dfdy[indx[61], indx[47]] = -(0)
dfdy[indx[61], indx[48]] = -(0)
@@ -11482,17 +12504,21 @@ def neg_symjac(y, M, k):
dfdy[indx[61], indx[55]] = -(0)
dfdy[indx[61], indx[56]] = -(0)
dfdy[indx[61], indx[57]] = -(0)
- dfdy[indx[61], indx[58]] = -(k[598]*y[:,0])
+ dfdy[indx[61], indx[58]] = -(k[583]*y[:,5])
dfdy[indx[61], indx[59]] = -(0)
dfdy[indx[61], indx[60]] = -(0)
- dfdy[indx[61], indx[61]] = -(-k[589]*y[:,3] - k[591]*y[:,3] - k[593]*y[:,1] - k[595]*y[:,17] - k[597]*y[:,11] - k[730]*y[:,3] - k[732]*y[:,0]**2 - k[738]*y[:,0] - k[762]*y[:,9])
+ dfdy[indx[61], indx[61]] = -(-M*k[762] - M*k[763]*y[:,11] - k[584]*y[:,3])
dfdy[indx[61], indx[62]] = -(0)
dfdy[indx[61], indx[63]] = -(0)
- dfdy[indx[61], indx[64]] = -(0)
- dfdy[indx[62], indx[0]] = -(k[600]*y[:,29])
- dfdy[indx[62], indx[1]] = -(-k[601]*y[:,62])
- dfdy[indx[62], indx[2]] = -(k[602]*y[:,29])
- dfdy[indx[62], indx[3]] = -(-k[599]*y[:,62])
+ dfdy[indx[61], indx[64]] = -(M*k[764])
+ dfdy[indx[61], indx[65]] = -(0)
+ dfdy[indx[61], indx[66]] = -(0)
+ dfdy[indx[61], indx[67]] = -(0)
+ dfdy[indx[61], indx[68]] = -(0)
+ dfdy[indx[62], indx[0]] = -(0)
+ dfdy[indx[62], indx[1]] = -(0)
+ dfdy[indx[62], indx[2]] = -(0)
+ dfdy[indx[62], indx[3]] = -(-k[586]*y[:,62] + k[588]*y[:,63])
dfdy[indx[62], indx[4]] = -(0)
dfdy[indx[62], indx[5]] = -(0)
dfdy[indx[62], indx[6]] = -(0)
@@ -11500,11 +12526,11 @@ def neg_symjac(y, M, k):
dfdy[indx[62], indx[8]] = -(0)
dfdy[indx[62], indx[9]] = -(0)
dfdy[indx[62], indx[10]] = -(0)
- dfdy[indx[62], indx[11]] = -(0)
- dfdy[indx[62], indx[12]] = -(0)
- dfdy[indx[62], indx[13]] = -(0)
+ dfdy[indx[62], indx[11]] = -(M*k[765]*y[:,13] - k[587]*y[:,62])
+ dfdy[indx[62], indx[12]] = -(k[585]*y[:,15])
+ dfdy[indx[62], indx[13]] = -(M*k[765]*y[:,11])
dfdy[indx[62], indx[14]] = -(0)
- dfdy[indx[62], indx[15]] = -(0)
+ dfdy[indx[62], indx[15]] = -(k[585]*y[:,12])
dfdy[indx[62], indx[16]] = -(0)
dfdy[indx[62], indx[17]] = -(0)
dfdy[indx[62], indx[18]] = -(0)
@@ -11517,14 +12543,14 @@ def neg_symjac(y, M, k):
dfdy[indx[62], indx[25]] = -(0)
dfdy[indx[62], indx[26]] = -(0)
dfdy[indx[62], indx[27]] = -(0)
- dfdy[indx[62], indx[28]] = -(M*k[718])
- dfdy[indx[62], indx[29]] = -(k[600]*y[:,0] + k[602]*y[:,2] + k[604]*y[:,33])
+ dfdy[indx[62], indx[28]] = -(0)
+ dfdy[indx[62], indx[29]] = -(0)
dfdy[indx[62], indx[30]] = -(0)
dfdy[indx[62], indx[31]] = -(0)
dfdy[indx[62], indx[32]] = -(0)
- dfdy[indx[62], indx[33]] = -(k[604]*y[:,29])
+ dfdy[indx[62], indx[33]] = -(0)
dfdy[indx[62], indx[34]] = -(0)
- dfdy[indx[62], indx[35]] = -(-k[603]*y[:,62])
+ dfdy[indx[62], indx[35]] = -(0)
dfdy[indx[62], indx[36]] = -(0)
dfdy[indx[62], indx[37]] = -(0)
dfdy[indx[62], indx[38]] = -(0)
@@ -11551,21 +12577,25 @@ def neg_symjac(y, M, k):
dfdy[indx[62], indx[59]] = -(0)
dfdy[indx[62], indx[60]] = -(0)
dfdy[indx[62], indx[61]] = -(0)
- dfdy[indx[62], indx[62]] = -(-M*k[717] - k[599]*y[:,3] - k[601]*y[:,1] - k[603]*y[:,35])
- dfdy[indx[62], indx[63]] = -(0)
+ dfdy[indx[62], indx[62]] = -(-M*k[766] - k[586]*y[:,3] - k[587]*y[:,11])
+ dfdy[indx[62], indx[63]] = -(k[588]*y[:,3])
dfdy[indx[62], indx[64]] = -(0)
+ dfdy[indx[62], indx[65]] = -(0)
+ dfdy[indx[62], indx[66]] = -(0)
+ dfdy[indx[62], indx[67]] = -(0)
+ dfdy[indx[62], indx[68]] = -(0)
dfdy[indx[63], indx[0]] = -(0)
- dfdy[indx[63], indx[1]] = -(0)
+ dfdy[indx[63], indx[1]] = -(k[589]*y[:,64])
dfdy[indx[63], indx[2]] = -(0)
- dfdy[indx[63], indx[3]] = -(0)
+ dfdy[indx[63], indx[3]] = -(M*k[759]*y[:,64] - k[588]*y[:,63] - k[590]*y[:,63] + k[874]*y[:,64])
dfdy[indx[63], indx[4]] = -(0)
dfdy[indx[63], indx[5]] = -(0)
dfdy[indx[63], indx[6]] = -(0)
dfdy[indx[63], indx[7]] = -(0)
- dfdy[indx[63], indx[8]] = -(0)
- dfdy[indx[63], indx[9]] = -(0)
+ dfdy[indx[63], indx[8]] = -(-k[592]*y[:,63])
+ dfdy[indx[63], indx[9]] = -(k[591]*y[:,64])
dfdy[indx[63], indx[10]] = -(0)
- dfdy[indx[63], indx[11]] = -(0)
+ dfdy[indx[63], indx[11]] = -(k[587]*y[:,62])
dfdy[indx[63], indx[12]] = -(0)
dfdy[indx[63], indx[13]] = -(0)
dfdy[indx[63], indx[14]] = -(0)
@@ -11612,25 +12642,29 @@ def neg_symjac(y, M, k):
dfdy[indx[63], indx[55]] = -(0)
dfdy[indx[63], indx[56]] = -(0)
dfdy[indx[63], indx[57]] = -(0)
- dfdy[indx[63], indx[58]] = -(0)
+ dfdy[indx[63], indx[58]] = -(2*M*k[751]*y[:,58] + 2*k[876]*y[:,58])
dfdy[indx[63], indx[59]] = -(0)
dfdy[indx[63], indx[60]] = -(0)
dfdy[indx[63], indx[61]] = -(0)
- dfdy[indx[63], indx[62]] = -(0)
- dfdy[indx[63], indx[63]] = -(0)
- dfdy[indx[63], indx[64]] = -(0)
+ dfdy[indx[63], indx[62]] = -(k[587]*y[:,11])
+ dfdy[indx[63], indx[63]] = -(-M*k[752] - M*k[760] - k[588]*y[:,3] - k[590]*y[:,3] - k[592]*y[:,8] - k[873] - k[875])
+ dfdy[indx[63], indx[64]] = -(M*k[759]*y[:,3] + k[589]*y[:,1] + k[591]*y[:,9] + k[874]*y[:,3])
+ dfdy[indx[63], indx[65]] = -(0)
+ dfdy[indx[63], indx[66]] = -(0)
+ dfdy[indx[63], indx[67]] = -(0)
+ dfdy[indx[63], indx[68]] = -(0)
dfdy[indx[64], indx[0]] = -(0)
- dfdy[indx[64], indx[1]] = -(0)
+ dfdy[indx[64], indx[1]] = -(-k[589]*y[:,64])
dfdy[indx[64], indx[2]] = -(0)
- dfdy[indx[64], indx[3]] = -(0)
+ dfdy[indx[64], indx[3]] = -(-M*k[759]*y[:,64] + k[590]*y[:,63] - k[874]*y[:,64])
dfdy[indx[64], indx[4]] = -(0)
dfdy[indx[64], indx[5]] = -(0)
dfdy[indx[64], indx[6]] = -(0)
dfdy[indx[64], indx[7]] = -(0)
- dfdy[indx[64], indx[8]] = -(0)
- dfdy[indx[64], indx[9]] = -(0)
+ dfdy[indx[64], indx[8]] = -(k[592]*y[:,63])
+ dfdy[indx[64], indx[9]] = -(-k[591]*y[:,64])
dfdy[indx[64], indx[10]] = -(0)
- dfdy[indx[64], indx[11]] = -(3*k[810]*y[:,11]**2)
+ dfdy[indx[64], indx[11]] = -(M*k[763]*y[:,61])
dfdy[indx[64], indx[12]] = -(0)
dfdy[indx[64], indx[13]] = -(0)
dfdy[indx[64], indx[14]] = -(0)
@@ -11677,12 +12711,292 @@ def neg_symjac(y, M, k):
dfdy[indx[64], indx[55]] = -(0)
dfdy[indx[64], indx[56]] = -(0)
dfdy[indx[64], indx[57]] = -(0)
- dfdy[indx[64], indx[58]] = -(2*M*k[701]*y[:,58] + 2*k[808]*y[:,58])
+ dfdy[indx[64], indx[58]] = -(0)
dfdy[indx[64], indx[59]] = -(0)
dfdy[indx[64], indx[60]] = -(0)
- dfdy[indx[64], indx[61]] = -(0)
+ dfdy[indx[64], indx[61]] = -(M*k[763]*y[:,11])
dfdy[indx[64], indx[62]] = -(0)
- dfdy[indx[64], indx[63]] = -(0)
- dfdy[indx[64], indx[64]] = -(-M*k[702] - k[807] - k[809])
+ dfdy[indx[64], indx[63]] = -(M*k[760] + k[590]*y[:,3] + k[592]*y[:,8] + k[873])
+ dfdy[indx[64], indx[64]] = -(-M*k[759]*y[:,3] - M*k[764] - k[589]*y[:,1] - k[591]*y[:,9] - k[874]*y[:,3])
+ dfdy[indx[64], indx[65]] = -(0)
+ dfdy[indx[64], indx[66]] = -(0)
+ dfdy[indx[64], indx[67]] = -(0)
+ dfdy[indx[64], indx[68]] = -(0)
+ dfdy[indx[65], indx[0]] = -(k[616]*y[:,15] + k[618]*y[:,3] + k[620]*y[:,8] + 2*k[622]*y[:,0] + k[626]*y[:,33])
+ dfdy[indx[65], indx[1]] = -(-k[617]*y[:,65] - k[786]*y[:,65])
+ dfdy[indx[65], indx[2]] = -(-k[621]*y[:,65] + k[785])
+ dfdy[indx[65], indx[3]] = -(k[618]*y[:,0])
+ dfdy[indx[65], indx[4]] = -(k[624]*y[:,18] + k[632]*y[:,34] - k[868]*y[:,65])
+ dfdy[indx[65], indx[5]] = -(0)
+ dfdy[indx[65], indx[6]] = -(0)
+ dfdy[indx[65], indx[7]] = -(0)
+ dfdy[indx[65], indx[8]] = -(k[620]*y[:,0])
+ dfdy[indx[65], indx[9]] = -(-k[619]*y[:,65])
+ dfdy[indx[65], indx[10]] = -(0)
+ dfdy[indx[65], indx[11]] = -(0)
+ dfdy[indx[65], indx[12]] = -(0)
+ dfdy[indx[65], indx[13]] = -(0)
+ dfdy[indx[65], indx[14]] = -(0)
+ dfdy[indx[65], indx[15]] = -(k[616]*y[:,0])
+ dfdy[indx[65], indx[16]] = -(-k[615]*y[:,65])
+ dfdy[indx[65], indx[17]] = -(-k[627]*y[:,65] - k[810]*y[:,65])
+ dfdy[indx[65], indx[18]] = -(-k[623]*y[:,65] + k[624]*y[:,4] + k[628] + k[809])
+ dfdy[indx[65], indx[19]] = -(0)
+ dfdy[indx[65], indx[20]] = -(0)
+ dfdy[indx[65], indx[21]] = -(0)
+ dfdy[indx[65], indx[22]] = -(0)
+ dfdy[indx[65], indx[23]] = -(0)
+ dfdy[indx[65], indx[24]] = -(0)
+ dfdy[indx[65], indx[25]] = -(k[630]*y[:,32] + k[867])
+ dfdy[indx[65], indx[26]] = -(0)
+ dfdy[indx[65], indx[27]] = -(0)
+ dfdy[indx[65], indx[28]] = -(0)
+ dfdy[indx[65], indx[29]] = -(0)
+ dfdy[indx[65], indx[30]] = -(0)
+ dfdy[indx[65], indx[31]] = -(0)
+ dfdy[indx[65], indx[32]] = -(k[630]*y[:,25])
+ dfdy[indx[65], indx[33]] = -(k[626]*y[:,0])
+ dfdy[indx[65], indx[34]] = -(-k[631]*y[:,65] + k[632]*y[:,4])
+ dfdy[indx[65], indx[35]] = -(-k[625]*y[:,65])
+ dfdy[indx[65], indx[36]] = -(0)
+ dfdy[indx[65], indx[37]] = -(0)
+ dfdy[indx[65], indx[38]] = -(0)
+ dfdy[indx[65], indx[39]] = -(0)
+ dfdy[indx[65], indx[40]] = -(0)
+ dfdy[indx[65], indx[41]] = -(0)
+ dfdy[indx[65], indx[42]] = -(0)
+ dfdy[indx[65], indx[43]] = -(-k[629]*y[:,65])
+ dfdy[indx[65], indx[44]] = -(0)
+ dfdy[indx[65], indx[45]] = -(0)
+ dfdy[indx[65], indx[46]] = -(0)
+ dfdy[indx[65], indx[47]] = -(0)
+ dfdy[indx[65], indx[48]] = -(0)
+ dfdy[indx[65], indx[49]] = -(0)
+ dfdy[indx[65], indx[50]] = -(0)
+ dfdy[indx[65], indx[51]] = -(0)
+ dfdy[indx[65], indx[52]] = -(0)
+ dfdy[indx[65], indx[53]] = -(0)
+ dfdy[indx[65], indx[54]] = -(0)
+ dfdy[indx[65], indx[55]] = -(0)
+ dfdy[indx[65], indx[56]] = -(0)
+ dfdy[indx[65], indx[57]] = -(0)
+ dfdy[indx[65], indx[58]] = -(0)
+ dfdy[indx[65], indx[59]] = -(0)
+ dfdy[indx[65], indx[60]] = -(0)
+ dfdy[indx[65], indx[61]] = -(0)
+ dfdy[indx[65], indx[62]] = -(0)
+ dfdy[indx[65], indx[63]] = -(0)
+ dfdy[indx[65], indx[64]] = -(0)
+ dfdy[indx[65], indx[65]] = -(-k[615]*y[:,16] - k[617]*y[:,1] - k[619]*y[:,9] - k[621]*y[:,2] - k[623]*y[:,18] - k[625]*y[:,35] - k[627]*y[:,17] - k[629]*y[:,43] - k[631]*y[:,34] - k[786]*y[:,1] - k[810]*y[:,17] - k[868]*y[:,4])
+ dfdy[indx[65], indx[66]] = -(0)
+ dfdy[indx[65], indx[67]] = -(0)
+ dfdy[indx[65], indx[68]] = -(0)
+ dfdy[indx[66], indx[0]] = -(k[653]*y[:,8])
+ dfdy[indx[66], indx[1]] = -(-k[633]*y[:,66] - k[635]*y[:,66] + k[636]*y[:,7] - k[792]*y[:,66])
+ dfdy[indx[66], indx[2]] = -(-k[637]*y[:,66] + k[638]*y[:,7] - k[654]*y[:,66])
+ dfdy[indx[66], indx[3]] = -(k[634]*y[:,8] + k[642]*y[:,58] - 2*k[794]*y[:,3]*y[:,66] - k[800]*y[:,66])
+ dfdy[indx[66], indx[4]] = -(0)
+ dfdy[indx[66], indx[5]] = -(0)
+ dfdy[indx[66], indx[6]] = -(0)
+ dfdy[indx[66], indx[7]] = -(k[636]*y[:,1] + k[638]*y[:,2] + k[640]*y[:,17])
+ dfdy[indx[66], indx[8]] = -(k[634]*y[:,3] + k[653]*y[:,0] + k[799])
+ dfdy[indx[66], indx[9]] = -(k[791] + k[793] - k[824]*y[:,66])
+ dfdy[indx[66], indx[10]] = -(0)
+ dfdy[indx[66], indx[11]] = -(-k[641]*y[:,66])
+ dfdy[indx[66], indx[12]] = -(0)
+ dfdy[indx[66], indx[13]] = -(0)
+ dfdy[indx[66], indx[14]] = -(0)
+ dfdy[indx[66], indx[15]] = -(0)
+ dfdy[indx[66], indx[16]] = -(k[823])
+ dfdy[indx[66], indx[17]] = -(-k[639]*y[:,66] + k[640]*y[:,7])
+ dfdy[indx[66], indx[18]] = -(0)
+ dfdy[indx[66], indx[19]] = -(0)
+ dfdy[indx[66], indx[20]] = -(0)
+ dfdy[indx[66], indx[21]] = -(0)
+ dfdy[indx[66], indx[22]] = -(0)
+ dfdy[indx[66], indx[23]] = -(0)
+ dfdy[indx[66], indx[24]] = -(0)
+ dfdy[indx[66], indx[25]] = -(0)
+ dfdy[indx[66], indx[26]] = -(0)
+ dfdy[indx[66], indx[27]] = -(0)
+ dfdy[indx[66], indx[28]] = -(0)
+ dfdy[indx[66], indx[29]] = -(0)
+ dfdy[indx[66], indx[30]] = -(0)
+ dfdy[indx[66], indx[31]] = -(0)
+ dfdy[indx[66], indx[32]] = -(0)
+ dfdy[indx[66], indx[33]] = -(0)
+ dfdy[indx[66], indx[34]] = -(0)
+ dfdy[indx[66], indx[35]] = -(0)
+ dfdy[indx[66], indx[36]] = -(0)
+ dfdy[indx[66], indx[37]] = -(0)
+ dfdy[indx[66], indx[38]] = -(0)
+ dfdy[indx[66], indx[39]] = -(0)
+ dfdy[indx[66], indx[40]] = -(0)
+ dfdy[indx[66], indx[41]] = -(0)
+ dfdy[indx[66], indx[42]] = -(0)
+ dfdy[indx[66], indx[43]] = -(0)
+ dfdy[indx[66], indx[44]] = -(0)
+ dfdy[indx[66], indx[45]] = -(0)
+ dfdy[indx[66], indx[46]] = -(0)
+ dfdy[indx[66], indx[47]] = -(0)
+ dfdy[indx[66], indx[48]] = -(0)
+ dfdy[indx[66], indx[49]] = -(0)
+ dfdy[indx[66], indx[50]] = -(0)
+ dfdy[indx[66], indx[51]] = -(0)
+ dfdy[indx[66], indx[52]] = -(0)
+ dfdy[indx[66], indx[53]] = -(0)
+ dfdy[indx[66], indx[54]] = -(0)
+ dfdy[indx[66], indx[55]] = -(0)
+ dfdy[indx[66], indx[56]] = -(0)
+ dfdy[indx[66], indx[57]] = -(0)
+ dfdy[indx[66], indx[58]] = -(k[642]*y[:,3])
+ dfdy[indx[66], indx[59]] = -(0)
+ dfdy[indx[66], indx[60]] = -(0)
+ dfdy[indx[66], indx[61]] = -(0)
+ dfdy[indx[66], indx[62]] = -(0)
+ dfdy[indx[66], indx[63]] = -(0)
+ dfdy[indx[66], indx[64]] = -(0)
+ dfdy[indx[66], indx[65]] = -(0)
+ dfdy[indx[66], indx[66]] = -(-k[633]*y[:,1] - k[635]*y[:,1] - k[637]*y[:,2] - k[639]*y[:,17] - k[641]*y[:,11] - k[654]*y[:,2] - k[792]*y[:,1] - k[794]*y[:,3]**2 - k[800]*y[:,3] - k[824]*y[:,9])
+ dfdy[indx[66], indx[67]] = -(0)
+ dfdy[indx[66], indx[68]] = -(0)
+ dfdy[indx[67], indx[0]] = -(k[646]*y[:,29])
+ dfdy[indx[67], indx[1]] = -(-k[643]*y[:,67])
+ dfdy[indx[67], indx[2]] = -(-k[645]*y[:,67])
+ dfdy[indx[67], indx[3]] = -(k[644]*y[:,29])
+ dfdy[indx[67], indx[4]] = -(k[650]*y[:,32])
+ dfdy[indx[67], indx[5]] = -(0)
+ dfdy[indx[67], indx[6]] = -(0)
+ dfdy[indx[67], indx[7]] = -(0)
+ dfdy[indx[67], indx[8]] = -(0)
+ dfdy[indx[67], indx[9]] = -(0)
+ dfdy[indx[67], indx[10]] = -(0)
+ dfdy[indx[67], indx[11]] = -(0)
+ dfdy[indx[67], indx[12]] = -(0)
+ dfdy[indx[67], indx[13]] = -(0)
+ dfdy[indx[67], indx[14]] = -(0)
+ dfdy[indx[67], indx[15]] = -(0)
+ dfdy[indx[67], indx[16]] = -(0)
+ dfdy[indx[67], indx[17]] = -(0)
+ dfdy[indx[67], indx[18]] = -(0)
+ dfdy[indx[67], indx[19]] = -(0)
+ dfdy[indx[67], indx[20]] = -(0)
+ dfdy[indx[67], indx[21]] = -(0)
+ dfdy[indx[67], indx[22]] = -(0)
+ dfdy[indx[67], indx[23]] = -(0)
+ dfdy[indx[67], indx[24]] = -(0)
+ dfdy[indx[67], indx[25]] = -(-k[649]*y[:,67])
+ dfdy[indx[67], indx[26]] = -(0)
+ dfdy[indx[67], indx[27]] = -(0)
+ dfdy[indx[67], indx[28]] = -(M*k[780])
+ dfdy[indx[67], indx[29]] = -(k[644]*y[:,3] + k[646]*y[:,0] + k[648]*y[:,33])
+ dfdy[indx[67], indx[30]] = -(0)
+ dfdy[indx[67], indx[31]] = -(0)
+ dfdy[indx[67], indx[32]] = -(k[650]*y[:,4] + k[652]*y[:,34])
+ dfdy[indx[67], indx[33]] = -(k[648]*y[:,29])
+ dfdy[indx[67], indx[34]] = -(k[652]*y[:,32])
+ dfdy[indx[67], indx[35]] = -(-k[647]*y[:,67])
+ dfdy[indx[67], indx[36]] = -(0)
+ dfdy[indx[67], indx[37]] = -(0)
+ dfdy[indx[67], indx[38]] = -(0)
+ dfdy[indx[67], indx[39]] = -(0)
+ dfdy[indx[67], indx[40]] = -(0)
+ dfdy[indx[67], indx[41]] = -(0)
+ dfdy[indx[67], indx[42]] = -(0)
+ dfdy[indx[67], indx[43]] = -(0)
+ dfdy[indx[67], indx[44]] = -(-k[651]*y[:,67])
+ dfdy[indx[67], indx[45]] = -(0)
+ dfdy[indx[67], indx[46]] = -(0)
+ dfdy[indx[67], indx[47]] = -(0)
+ dfdy[indx[67], indx[48]] = -(0)
+ dfdy[indx[67], indx[49]] = -(0)
+ dfdy[indx[67], indx[50]] = -(0)
+ dfdy[indx[67], indx[51]] = -(0)
+ dfdy[indx[67], indx[52]] = -(0)
+ dfdy[indx[67], indx[53]] = -(0)
+ dfdy[indx[67], indx[54]] = -(0)
+ dfdy[indx[67], indx[55]] = -(0)
+ dfdy[indx[67], indx[56]] = -(0)
+ dfdy[indx[67], indx[57]] = -(0)
+ dfdy[indx[67], indx[58]] = -(0)
+ dfdy[indx[67], indx[59]] = -(0)
+ dfdy[indx[67], indx[60]] = -(0)
+ dfdy[indx[67], indx[61]] = -(0)
+ dfdy[indx[67], indx[62]] = -(0)
+ dfdy[indx[67], indx[63]] = -(0)
+ dfdy[indx[67], indx[64]] = -(0)
+ dfdy[indx[67], indx[65]] = -(0)
+ dfdy[indx[67], indx[66]] = -(0)
+ dfdy[indx[67], indx[67]] = -(-M*k[779] - k[643]*y[:,1] - k[645]*y[:,2] - k[647]*y[:,35] - k[649]*y[:,25] - k[651]*y[:,44])
+ dfdy[indx[67], indx[68]] = -(0)
+ dfdy[indx[68], indx[0]] = -(0)
+ dfdy[indx[68], indx[1]] = -(0)
+ dfdy[indx[68], indx[2]] = -(0)
+ dfdy[indx[68], indx[3]] = -(0)
+ dfdy[indx[68], indx[4]] = -(0)
+ dfdy[indx[68], indx[5]] = -(0)
+ dfdy[indx[68], indx[6]] = -(0)
+ dfdy[indx[68], indx[7]] = -(0)
+ dfdy[indx[68], indx[8]] = -(0)
+ dfdy[indx[68], indx[9]] = -(0)
+ dfdy[indx[68], indx[10]] = -(0)
+ dfdy[indx[68], indx[11]] = -(0)
+ dfdy[indx[68], indx[12]] = -(0)
+ dfdy[indx[68], indx[13]] = -(0)
+ dfdy[indx[68], indx[14]] = -(0)
+ dfdy[indx[68], indx[15]] = -(0)
+ dfdy[indx[68], indx[16]] = -(0)
+ dfdy[indx[68], indx[17]] = -(0)
+ dfdy[indx[68], indx[18]] = -(0)
+ dfdy[indx[68], indx[19]] = -(0)
+ dfdy[indx[68], indx[20]] = -(0)
+ dfdy[indx[68], indx[21]] = -(0)
+ dfdy[indx[68], indx[22]] = -(0)
+ dfdy[indx[68], indx[23]] = -(0)
+ dfdy[indx[68], indx[24]] = -(0)
+ dfdy[indx[68], indx[25]] = -(0)
+ dfdy[indx[68], indx[26]] = -(0)
+ dfdy[indx[68], indx[27]] = -(0)
+ dfdy[indx[68], indx[28]] = -(0)
+ dfdy[indx[68], indx[29]] = -(0)
+ dfdy[indx[68], indx[30]] = -(0)
+ dfdy[indx[68], indx[31]] = -(0)
+ dfdy[indx[68], indx[32]] = -(0)
+ dfdy[indx[68], indx[33]] = -(0)
+ dfdy[indx[68], indx[34]] = -(0)
+ dfdy[indx[68], indx[35]] = -(0)
+ dfdy[indx[68], indx[36]] = -(0)
+ dfdy[indx[68], indx[37]] = -(0)
+ dfdy[indx[68], indx[38]] = -(0)
+ dfdy[indx[68], indx[39]] = -(0)
+ dfdy[indx[68], indx[40]] = -(0)
+ dfdy[indx[68], indx[41]] = -(0)
+ dfdy[indx[68], indx[42]] = -(0)
+ dfdy[indx[68], indx[43]] = -(0)
+ dfdy[indx[68], indx[44]] = -(0)
+ dfdy[indx[68], indx[45]] = -(0)
+ dfdy[indx[68], indx[46]] = -(0)
+ dfdy[indx[68], indx[47]] = -(0)
+ dfdy[indx[68], indx[48]] = -(0)
+ dfdy[indx[68], indx[49]] = -(0)
+ dfdy[indx[68], indx[50]] = -(0)
+ dfdy[indx[68], indx[51]] = -(0)
+ dfdy[indx[68], indx[52]] = -(0)
+ dfdy[indx[68], indx[53]] = -(0)
+ dfdy[indx[68], indx[54]] = -(0)
+ dfdy[indx[68], indx[55]] = -(0)
+ dfdy[indx[68], indx[56]] = -(0)
+ dfdy[indx[68], indx[57]] = -(0)
+ dfdy[indx[68], indx[58]] = -(0)
+ dfdy[indx[68], indx[59]] = -(0)
+ dfdy[indx[68], indx[60]] = -(0)
+ dfdy[indx[68], indx[61]] = -(0)
+ dfdy[indx[68], indx[62]] = -(0)
+ dfdy[indx[68], indx[63]] = -(0)
+ dfdy[indx[68], indx[64]] = -(0)
+ dfdy[indx[68], indx[65]] = -(0)
+ dfdy[indx[68], indx[66]] = -(0)
+ dfdy[indx[68], indx[67]] = -(0)
+ dfdy[indx[68], indx[68]] = -(0)
return dfdy
diff --git a/fastchem_vulcan/fastchem b/fastchem_vulcan/fastchem
new file mode 100755
index 0000000..759901f
Binary files /dev/null and b/fastchem_vulcan/fastchem differ
diff --git a/fastchem_vulcan/input/element_abundances_vulcan.dat b/fastchem_vulcan/input/element_abundances_vulcan.dat
index 7fc872c..7d84d1b 100755
--- a/fastchem_vulcan/input/element_abundances_vulcan.dat
+++ b/fastchem_vulcan/input/element_abundances_vulcan.dat
@@ -1,19 +1,19 @@
#The solar chemical composition K.Lodders 2009:
-C 8.4434
+C 8.4600
H 12.00
-He 10.9864
-N 7.9130
-O 8.6819
-P 5.5058
-S 7.12
-Si 7.5867
-Ti 4.9794
-V 4.0437
-Cl 5.3002
-K 5.1619
-Na 6.3479
-Mg 7.5995
-F 4.49196
-Ca 6.3677
-Fe 7.5151
+He 10.9864
+N 7.8300
+O 8.6900
+P 5.5058
+S 7.1200
+Si 7.5867
+Ti 4.9794
+V 4.0437
+Cl 5.3002
+K 5.1619
+Na 6.3479
+Mg 7.5995
+F 4.4920
+Ca 6.3677
+Fe 7.5151
e- 0
\ No newline at end of file
diff --git a/fastchem_vulcan/input/nasa9_logK_SNCHOTi.dat b/fastchem_vulcan/input/nasa9_logK_SNCHOTi.dat
index 34ce3d1..5adeb18 100644
--- a/fastchem_vulcan/input/nasa9_logK_SNCHOTi.dat
+++ b/fastchem_vulcan/input/nasa9_logK_SNCHOTi.dat
@@ -131,8 +131,8 @@ HO2 Hydroperoxo : H 1 O 2
-7.598882540E+04 1.329383918E+03 -4.677388240E+00 2.508308202E-02 -3.006551588E-05 1.895600056E-08 -4.828567390E-12 0.000000000E+00 -5.873350960E+03 5.193602140E+01 -1.810669724E+06 4.963192030E+03 -1.039498992E+00 4.560148530E-03 -1.061859447E-06 1.144567878E-10 -4.763064160E-15 0.000000000E+00 -3.200817190E+04 4.066850920E+01
H2 Hydrogen : H 2
- 4.078323210E+04 -8.009186040E+02 8.214702010E+00 -1.269714457E-02 1.753605076E-05 -1.202860270E-08 3.368093490E-12 0. 2.682484665E+03 -3.043788844E+01 5.608128010E+05 -8.371504740E+02 2.975364532E+00 1.252249124E-03 -3.740716190E-07 5.936625200E-11 -3.606994100E-15 0. 5.339824410E+03 -2.202774769E+00
-
+-3.994306020E+03 7.242239420E+01 2.998697961E+00 1.796279453E-03 -3.247875840E-06 2.886358872E-09 -8.692720440E-13 0.000000000E+00 -1.376530067E+03 -1.568269937E+00 6.082027600E+05 -1.075426838E+03 3.386971660E+00 9.239752340E-04 -2.409952058E-07 3.146743090E-11 -1.578557155E-15 0.000000000E+00 6.750497620E+03 -4.988546010E+00
+#4.078323210E+04 -8.009186040E+02 8.214702010E+00 -1.269714457E-02 1.753605076E-05 -1.202860270E-08 3.368093490E-12 0. 2.682484665E+03 -3.043788844E+01 5.608128010E+05 -8.371504740E+02 2.975364532E+00 1.252249124E-03 -3.740716190E-07 5.936625200E-11 -3.606994100E-15 0. 5.339824410E+03 -2.202774769E+00
NH2 Amidogen : H 2 N 1
-3.118240659E+04 4.754243390E+02 1.372395176E+00 6.306429720E-03 -5.987893560E-06 4.492752340E-09 -1.414073548E-12 0. 1.928939662E+04 1.540126885E+01 2.111053740E+06 -6.880627230E+03 1.132305924E+01 -1.829236741E-03 5.643890090E-07 -7.886452480E-11 4.078593450E-15 0. 6.503778560E+04 -5.359155744E+01
@@ -331,7 +331,7 @@ VN : N 1 V 1 # Tsuji
TiC : C 1 Ti 1 # from Woitke 2017 (only in the arxiv-ph version)
-8.158325727E+04 1.841476599E+03 4.353523239E+00 -5.334311965E-03 5.410891435E-06 -3.377790611E-09 9.779857497E-13 0 7.076686800E+04 9.124270802E+00 -8.200387535E+05 4.788363496E+03 -4.882109201E-01 -1.558101386E-04 5.535293747E-07 -9.508720632E-11 4.980575546E-15 0 5.291758547E+04 4.154665645E+01
-Cl2 : Cl 1 #
+Cl2 : Cl 2 #
3.462815170E+04 -5.547126520E+02 6.207589370E+00 -2.989632078E-03 3.173027290E-06-1.793629562E-09 4.260043590E-13 0. 1.534069331E+03 -9.438331107E+00 6.092569420E+06 -1.949627662E+04 2.854535795E+01 -1.449968764E-02 4.463890770E-06 -6.358525860E-10 3.327360290E-14 0. 1.212117724E+05 -1.690778824E+02
HCl : H 1 Cl 1#
@@ -361,9 +361,6 @@ HF : F 1 H 1 # Gurvich,1989 pt1 p162 pt2 p77.
MgH : H 1 Mg 1 # Gurvich,1996a pt1 p401 pt2 p320.
-4.958679150E+04 7.500278650E+02 -6.442047500E-01 9.826301010E-03 -8.789822440E-06 3.823353520E-09 -6.003725760E-13 0. 2.302279383E+04 2.657165344E+01 -1.005748598E+05 1.952890106E+03 -1.317191549E+00 5.603665800E-03 -2.137334980E-06 3.324880500E-10 -1.824672746E-14 0. 1.598582755E+04 3.431233160E+01
-PH3 : H 3 P 1 # Chase,1998 p1348.
--6.384325340E+03 4.057567410E+02 -1.565680086E-01 1.338380613E-02 -8.275391430E-06 3.024360831E-09 -6.421764630E-13 0. -2.159842124E+03 2.385561888E+01 1.334801106E+06 -6.725463520E+03 1.445857073E+01 -1.639736883E-03 3.409218570E-07 -3.736272080E-11 1.672947506E-15 0. 3.910325710E+04 -7.198781190E+01
-
S2 : S 2 # Gurvich,1989 pt1 p270 pt2 p165.
3.528091780E+04 -4.222156580E+02 4.677433490E+00 1.724046361E-03 -3.862208210E-06 3.336156340E-09 -9.930661540E-13 0. 1.654767715E+04 -7.957279032E-01 -1.588128788E+04 6.315480880E+02 2.449628069E+00 1.986240565E-03 -6.507927240E-07 1.002813651E-10 -5.596990050E-15 0. 1.085508427E+04 1.458544515E+01
@@ -456,3 +453,84 @@ CH3S : H 3 C 1 S 1 # CH3S Radical G3B3 Burrcat HF298=29.032 kcal
CH3SH : H 4 C 1 S 1 # CH3SH methyl mercaptane (methanethiol) HF298=-4.882 kcal Burcat G3B3 calc
-8.612614480E+04 1.579763734E+03 -7.275685780E+00 4.152944360E-02 -4.648547250E-05 3.005892290E-08 -8.170545730E-12 0.000000000E+00 -1.106788510E+04 6.615427880E+01 3.287697000E+06 -1.278681461E+04 2.243444644E+01 -2.126234947E-03 3.753285050E-07 -3.551638490E-11 1.394120322E-15 0.000000000E+00 7.393340730E+04 -1.235419378E+02
+
+P : P 1
+5.040866570E+01 -7.639418650E-01 2.504563992E+00 -1.381689958E-05 2.245585515E-08 -1.866399889E-11 6.227063395E-15 0. 3.732421910E+04 5.359303481E+00 1.261794642E+06 -4.559838190E+03 8.918079310E+00 -4.381401460E-03 1.454286224E-06 -2.030782763E-10 1.021022887E-14 0. 6.541723960E+04 -3.915974795E+01
+#0.000000000E+00 0.000000000E+00 2.500042677E+00 -4.389686410E-07 1.581317410E-09 -2.339004641E-12 1.205109349E-15 0.000000000E+00 3.730737500E+04 5.384147167E+00 0.000000000E+00 0.000000000E+00 2.807215452E+00 -5.308419932E-04 2.445430596E-07 -2.057082456E-11 -2.945466283E-16 0.000000000E+00 3.718927344E+04 3.677647114E+00
+PH3 : H 3 P 1
+-2.496968335E+04 6.768677200E+02 -1.684504087E+00 1.766581039E-02 -1.461125828E-05 7.751844680E-09 -2.041550254E-12 0.000000000E+00 -2.690966759E+03 3.233188410E+01 1.290688225E+06 -6.624214330E+03 1.436871146E+01 -1.599887211E-03 3.315817320E-07 -3.626095670E-11 1.621585251E-15 0.000000000E+00 3.919585790E+04 -7.132353360E+01
+#3.258888150E+04 2.623379759E+01 1.305666296E+00 1.046782406E-02 -4.987528970E-06 9.679595870E-10 -7.819144800E-14 0.000000000E+00 -1.982457542E+02 1.521070886E+01 1.711333102E+06 -8.033510180E+03 1.617588781E+01 -2.714467831E-03 6.794734300E-07 -8.882741760E-11 4.663301990E-15 0.000000000E+00 4.723478690E+04 -8.404917480E+01
+P2O : O 1 P 2
+0.0 0.0 4.853 2.246E-3 -1.285E-6 3.439E-10 -3.539E-14 0.0 10430 -0.189 0.0 0.0 4.853 2.246E-3 -1.285E-6 3.439E-10 -3.539E-14 0.0 10430 -0.189
+
+P2O2 : O 2 P 2
+0.0 0.0 7.476 3.446E-3 -1.972E-6 5.280E-10 -5.435E-14 0.0 -12180 -8.971 0.0 0.0 7.476 3.446E-3 -1.972E-6 5.280E-10 -5.435E-14 0.0 -12180 -8.971
+
+P2O3 : O 3 P 2
+-6.645753890E+04 7.580900550E+02 9.888436770E-01 2.859878730E-02 -3.231142110E-05 1.834525170E-08 -4.212489300E-12 0.0 -8.820036740E+04 2.689914458E+01 -2.175344110E+05 -1.369902000E+03 1.401142960E+01 -4.023856960E-04 8.868345780E-08 -1.015657280E-11 4.704356060E-16 0.0 -7.922757000E+04 -4.739487232E+01
+
+PH : H 1 P 1
+2.273633198E+04 -3.972674060E+02 6.233697660E+00 -9.181784600E-03 1.523328123E-05 -1.085888585E-08 2.929760547E-12 0.0 2.852768404E+04 -1.095191197E+01 7.814730650E+05 -3.038451204E+03 7.467481020E+00 -1.837522255E-03 7.165947700E-07 -1.142128853E-10 6.175410560E-15 0.0 4.536260180E+04 -2.467298140E+01
+#9.308484730E+03 -1.838136754E+01 3.470572320E+00 -4.585765590E-04 1.692074538E-06 -7.065667230E-10 -4.307883590E-15 0.000000000E+00 2.750296919E+04 3.899173530E+00 -3.608996340E+05 6.386237080E+02 2.873463181E+00 9.892286250E-04 -1.697094784E-07 1.375409393E-11 -3.376821970E-16 0.000000000E+00 2.290725776E+04 7.737745690E+00
+PH2 : H 2 P 1
+3.665434070E+03 -1.774304789E+01 4.043830630E+00 -1.415691707E-03 7.512214300E-06 -6.109729410E-09 1.599821477E-12 0.000000000E+00 1.520927473E+04 2.643020700E+00 1.175949763E+06 -4.844891530E+03 1.025668626E+01 -1.168701795E-03 2.127219563E-07 -1.574155835E-11 3.445818380E-16 0.000000000E+00 4.461953140E+04 -4.274357570E+01
+#-2.392830175E+04 3.335123120E+02 2.214534439E+00 3.624580040E-03 1.085947153E-06 -2.395574858E-09 8.479209460E-13 0.000000000E+00 1.024237660E+04 1.283305626E+01 9.624784870E+05 -4.385749290E+03 1.013555451E+01 -1.300210954E-03 3.127463859E-07 -3.989207430E-11 2.064648507E-15 0.000000000E+00 3.820764720E+04 -4.137184230E+01
+PO : O 1 P 1
+-6.845754060E+04 1.141295708E+03 -2.779556060E+00 1.678458047E-02 -1.974879516E-05 1.192602320E-08 -2.927460912E-12 0.0 -9.847745040E+03 4.184328297E+01 -3.366667440E+05 6.229355840E+02 3.565605460E+00 6.516620720E-04 -2.061770841E-07 3.184413230E-11 -1.573691908E-15 0.0 -8.939790390E+03 6.954859188E+00
+#-4.078639540E+04 7.384374670E+02 -5.081429910E-01 1.045749635E-02 -1.060154826E-05 5.427396380E-09 -1.143517275E-12 0.000000000E+00 -7.371458060E+03 2.924376692E+01 -1.032452662E+05 -2.886656180E+01 4.336923240E+00 1.567852989E-04 -3.547995840E-08 3.197658470E-12 2.087643854E-17 0.000000000E+00 -4.222959910E+03 1.516560233E+00
+PO2 : O 2 P 1
+-6.462105570E+04 1.056224048E+03 -2.905335935E+00 2.410022157E-02 -2.882242906E-05 1.745531169E-08 -4.280134910E-12 0.000000000E+00 -4.031341070E+04 4.426419620E+01 -1.383178092E+05 -6.469331850E+02 7.476621330E+00 -1.892345722E-04 4.164570980E-08 -4.765875330E-12 2.207221847E-16 0.000000000E+00 -3.297175330E+04 -1.458447383E+01
+
+PO3 : O 3 P 1
+-7.328708150E+04 1.344137945E+03 -4.636474040E+00 3.992641040E-02 -5.281402750E-05 3.496601790E-08 -9.274096140E-12 0.000000000E+00 -6.209094880E+04 5.521382930E+01 -3.478003380E+05 -3.876580420E+02 1.024069925E+01 -7.982820960E-05 1.459974851E-08 -1.383862131E-12 5.291978770E-17 0.000000000E+00 -5.599921490E+04 -2.649390735E+01
+
+H2POH : H 3 O 1 P 1
+2.410362928E+03 6.337161340E+02 -5.504908840E+00 4.609716720E-02 -6.396381840E-05 4.573971930E-08 -1.303392650E-11 0.000000000E+00 -2.879075788E+04 5.316010250E+01 1.162654445E+06 -5.568546960E+03 1.481074345E+01 -4.746923080E-04 3.978582050E-08 6.177055140E-13 -2.029138151E-16 0.000000000E+00 5.676975220E+03 -6.623959920E+01
+
+H3PO4 : H 3 O 4 P 1
+6.877828410E+04 -6.336546220E+02 -5.811503100E-01 7.292512730E-02 -1.175926437E-04 8.898714810E-08 -2.573888504E-11 0.000000000E+00 -1.329008776E+05 2.368825177E+01 1.123325607E+06 -4.156501310E+03 1.945097544E+01 1.410063043E-03 -4.529220120E-07 6.307544050E-11 -3.296226500E-15 0.000000000E+00 -1.137486346E+05 -8.153167990E+01
+
+HOPO : H 1 O 2 P 1
+-1.768549014E+04 6.110393290E+02 -3.508979510E+00 3.805931640E-02 -5.258656580E-05 3.538762910E-08 -9.370657800E-12 0.000000000E+00 -6.014736470E+04 4.513332550E+01 -1.177060913E+05 -5.948088900E+02 8.948461620E+00 4.544941680E-04 -1.332661923E-07 1.783248032E-11 -9.108681400E-16 0.000000000E+00 -5.608864440E+04 -2.134981985E+01
+
+HOPO2 : H 1 O 3 P 1
+-4.643667080E+04 8.739767760E+02 -4.606861540E+00 4.658737910E-02 -6.051220750E-05 3.876180940E-08 -9.856144200E-12 0.000000000E+00 -9.121853330E+04 5.136729760E+01 -1.518394850E+05 -1.286513647E+03 1.247344606E+01 2.395682584E-04 -8.463760070E-08 1.213335037E-11 -6.415652290E-16 0.000000000E+00 -8.273240400E+04 -4.224577030E+01
+
+HPO : H 1 O 1 P 1
+-3.816314120E+04 7.927641870E+02 -1.889940652E+00 1.800907425E-02 -1.857631793E-05 1.018768867E-08 -2.355583619E-12 0.0 -1.157641240E+04 3.692925910E+01 3.842459450E+05 -2.434951707E+03 8.582173920E+00 -4.058448570E-04 -1.669488740E-08 2.253640566E-11 -1.943063011E-15 0.0 5.761632120E+03 -2.649097544E+01
+
+HPOH : H 2 O 1 P 1
+1.711979627E+04 1.793280074E+02 -1.042403671E+00 2.673918235E-02 -3.453765410E-05 2.294702995E-08 -6.166735590E-12 0.000000000E+00 -1.385778387E+04 3.099575063E+01 2.646205200E+05 -2.390940324E+03 1.041265795E+01 -1.574341165E-04 5.458853300E-09 1.655968538E-12 -1.520933047E-16 0.000000000E+00 -8.735960940E+02 -3.484765760E+01
+
+P2 : P 2
+3.053922510E+04 -3.246177590E+02 4.022463810E+00 3.232094790E-03 -5.511052450E-06 4.195572930E-09 -1.215032180E-12 0.0 1.796910870E+04 1.645350331E+00 -7.806936490E+05 2.307910870E+03 1.411743130E+00 2.108237420E-03 -7.360856620E-07 1.259360120E-10 -7.079752490E-15 0.0 1.329824740E+03 2.169741365E+01
+#0.000000000E+00 0.000000000E+00 2.839110613E+00 4.826619290E-03 -5.494748621E-06 2.580050618E-09 -3.223645309E-13 0.000000000E+00 1.625970703E+04 8.842410088E+00 0.000000000E+00 0.000000000E+00 4.161173344E+00 3.962079936E-04 -1.558033915E-07 2.909347416E-11 -2.004245760E-15 0.000000000E+00 1.594686914E+04 2.241092443E+00
+P4 : P 4
+1.240773532E+05 -2.397379586E+03 1.802981563E+01 -1.537648748E-02 1.708145186E-05 -1.021752508E-08 2.540216470E-12 0.000000000E+00 1.826349294E+04 -7.249144150E+01 -1.622543947E+05 -1.216362752E+02 1.010498259E+01 -4.688834940E-05 1.128068047E-08 -1.382634613E-12 6.756984720E-17 0.000000000E+00 6.160968030E+03 -2.518091391E+01
+#0.000000000E+00 0.000000000E+00 3.535330057E+00 2.412529290E-02 -3.646275945E-05 2.491690587E-08 -6.329856344E-12 0.000000000E+00 5.235533691E+03 7.755895615E+00 0.000000000E+00 0.000000000E+00 9.226279259E+00 8.689413080E-04 -3.775833761E-07 7.237966476E-11 -5.106610867E-15 0.000000000E+00 4.090549561E+03 -1.964170456E+01
+P2H2 : H 2 P 2
+1.182607223E+05 -1.463433975E+03 8.640292420E+00 1.744687639E-03 -2.180667662E-06 2.894632085E-09 -1.321895970E-12 0.000000000E+00 2.129488526E+04 -2.399217743E+01 7.352475270E+05 -4.228409200E+03 1.272247297E+01 -9.752684110E-04 1.982001453E-07 -2.130660342E-11 9.388271330E-16 0.000000000E+00 3.796090350E+04 -5.247557050E+01
+#5.062040210E+04 -7.150559350E+01 1.720722153E+00 7.796558270E-03 -1.746402619E-06 -2.910449896E-10 1.504016036E-13 0.000000000E+00 1.417818727E+04 1.793188412E+01 -3.907469380E+06 1.091863658E+04 -1.012996387E+01 1.461044323E-02 -4.475882870E-06 6.264650690E-10 -3.287948910E-14 0.000000000E+00 -5.653626610E+04 1.030954591E+02
+P2H4 : H 4 P 2
+9.833602190E+04 -1.085233386E+03 6.475007390E+00 1.509011370E-02 -1.497111276E-05 1.067748311E-08 -3.501403260E-12 0.000000000E+00 8.694483140E+03 -1.191735573E+01 1.717191130E+06 -9.057781170E+03 2.183510379E+01 -2.093898063E-03 4.265081010E-07 -4.596322680E-11 2.030222766E-15 0.000000000E+00 5.546529140E+04 -1.130004379E+02
+#1.333780682E+04 2.843441243E+01 6.443079950E-01 2.027891886E-02 -1.371363273E-05 3.934852480E-09 -7.191382340E-14 0.000000000E+00 1.765175437E+03 2.383824092E+01 4.551376110E+06 -1.629727284E+04 2.656339905E+01 -4.784520460E-03 1.242662449E-06 1.707222102E-10 9.382911370E-15 0.000000000E+00 1.017145354E+05 -1.503276928E+02
+P2H3 : H 3 P 2
+-2.858090044E+04 1.356017377E+02 1.849748171E+00 1.236338545E-02 -6.920380970E-06 2.131132268E-09 -2.924801221E-13 0.000000000E+00 1.433628952E+04 1.934864603E+01 4.579441910E+06 -1.500144823E+04 2.271813378E+01 -3.858528640E-03 9.092487950E-07 -1.142447346E-10 5.822708840E-15 0.000000000E+00 1.086417277E+05 -1.246571109E+02
+
+P4O6 : O 6 P 4
+ 3.760894750E+05 -5.685832620E+03 2.914225450E+01 2.251532120E-02 -4.510269630E-05 3.588312690E-08 -1.057572060E-11 0.0 -1.688562480E+05 -1.451359851E+02 -1.008997240E+06 -8.872753990E+02 2.866064830E+01 -2.636018940E-04 5.810940720E-08 -6.648086960E-12 3.074391930E-16 0.0 -1.997138900E+05 -1.281853821E+02
+
+P2H : H 1 P 2
+9.040668840E+04 -1.337692443E+03 1.031343286E+01 -9.571523840E-03 1.311092490E-05 -8.331944640E-09 2.029142817E-12 0.000000000E+00 3.210061940E+04 -2.965573386E+01 3.660504100E+05 -1.988850864E+03 8.322219790E+00 -4.877073250E-04 1.017155314E-07 -1.118362220E-11 5.024430560E-16 0.000000000E+00 3.698555190E+04 -2.125989655E+01
+#3.672107620E+04 -1.676082109E+01 2.469057186E+00 4.999654640E-03 -2.150799987E-06 3.235070170E-10 2.091281315E-15 0.000000000E+00 2.614734410E+04 1.543819006E+01 1.196450639E+06 -4.877488060E+03 1.045734993E+01 -1.398727448E-03 3.232416630E-07 -3.929101700E-11 1.934694241E-15 0.000000000E+00 5.536073650E+04 -3.874151070E+01
+H3PO3 : H 3 O 3 P 1
+1.875696456E+05 -2.327285442E+03 8.498261910E+00 4.392017720E-02 -8.338262540E-05 6.885688180E-08 -2.099958009E-11 0.000000000E+00 -8.271806600E+04 -2.751726459E+01 1.391016609E+06 -4.162680170E+03 1.655196217E+01 1.354071942E-03 -4.392021920E-07 6.145206890E-11 -3.220802340E-15 0.000000000E+00 -7.025503120E+04 -6.560681260E+01
+
+HPO2 : H 1 O 2 P 1
+-1.768549014E+04 6.110393290E+02 -3.508979510E+00 3.805931640E-02 -5.258656580E-05 3.538762910E-08 -9.370657800E-12 0.000000000E+00 -6.014736470E+04 4.513332550E+01 -1.177060913E+05 -5.948088900E+02 8.948461620E+00 4.544941680E-04 -1.332661923E-07 1.783248032E-11 -9.108681400E-16 0.000000000E+00 -5.608864440E+04 -2.134981985E+01
+
+P2O4 : O 4 P 2
+-4.376091260E+04 4.905102830E+02 9.643649370E-01 3.886073580E-02 -4.675509220E-05 2.812625630E-08 -6.824406100E-12 0.0 -1.168997790E+05 2.379582767E+01 -3.670114860E+05 -1.638423730E+03 1.721188610E+01 -4.826580150E-04 1.064461900E-07 -1.219610070E-11 5.650654580E-16 0.0 -1.090435930E+05 -6.714276593E+01
+
+P2O5 : O 5 P 2
+-2.999159220E+04 -4.594506590E+01 6.987486830E+00 2.883302970E-02 -3.104509530E-05 1.643868680E-08 -3.467942300E-12 0.0 -1.381901400E+05 -3.400572711E+00 -3.247080160E+05 -2.016975080E+03 2.048699340E+01 -5.910641150E-04 1.301993020E-07 -1.490682940E-11 6.903573410E-16 0.0 -1.306290160E+05 -8.031642952E+01
diff --git a/fastchem_vulcan/input/vulcan_TP/vulcan_TP.dat b/fastchem_vulcan/input/vulcan_TP/vulcan_TP.dat
index 1abc405..7f9d77a 100755
--- a/fastchem_vulcan/input/vulcan_TP/vulcan_TP.dat
+++ b/fastchem_vulcan/input/vulcan_TP/vulcan_TP.dat
@@ -1,121 +1,151 @@
#p (bar) T (K)
-1.000e+03 2286.5
-8.083e+02 2167.0
-6.533e+02 2052.2
-5.281e+02 1942.1
-4.268e+02 1839.5
-3.450e+02 1754.2
-2.789e+02 1692.7
-2.254e+02 1636.7
-1.822e+02 1586.0
-1.473e+02 1561.8
-1.190e+02 1554.0
-9.620e+01 1542.1
-7.776e+01 1531.6
-6.285e+01 1525.8
-5.080e+01 1518.9
-4.106e+01 1517.8
-3.319e+01 1524.8
-2.683e+01 1526.9
-2.168e+01 1527.9
-1.753e+01 1543.6
-1.417e+01 1564.0
-1.145e+01 1575.5
-9.255e+00 1577.2
-7.481e+00 1574.2
-6.047e+00 1573.0
-4.887e+00 1570.7
-3.950e+00 1564.9
-3.193e+00 1555.0
-2.581e+00 1543.3
-2.086e+00 1528.5
-1.686e+00 1511.9
-1.363e+00 1494.9
-1.102e+00 1477.0
-8.904e-01 1458.9
-7.197e-01 1440.4
-5.817e-01 1419.2
-4.702e-01 1396.4
-3.800e-01 1372.5
-3.072e-01 1348.1
-2.483e-01 1322.7
-2.007e-01 1297.3
-1.622e-01 1271.8
-1.311e-01 1246.3
-1.060e-01 1221.2
-8.566e-02 1198.3
-6.924e-02 1177.1
-5.596e-02 1157.3
-4.523e-02 1140.2
-3.656e-02 1127.3
-2.955e-02 1116.7
-2.389e-02 1107.0
-1.931e-02 1096.9
-1.561e-02 1086.5
-1.261e-02 1076.4
-1.020e-02 1066.9
-8.241e-03 1059.2
-6.661e-03 1053.0
-5.384e-03 1048.1
-4.352e-03 1044.3
-3.517e-03 1041.7
-2.843e-03 1039.6
-2.298e-03 1037.7
-1.857e-03 1035.0
-1.501e-03 1032.5
-1.213e-03 1030.1
-9.808e-04 1027.4
-7.928e-04 1024.8
-6.408e-04 1022.4
-5.179e-04 1019.7
-4.186e-04 1016.8
-3.384e-04 1013.0
-2.735e-04 1007.6
-2.211e-04 1002.0
-1.787e-04 995.0
-1.444e-04 987.9
-1.167e-04 981.3
-9.436e-05 972.9
-7.627e-05 964.5
-6.165e-05 955.9
-4.983e-05 946.0
-4.028e-05 936.7
-3.255e-05 927.1
-2.631e-05 917.7
-2.127e-05 909.3
-1.719e-05 900.6
-1.389e-05 892.8
-1.123e-05 885.9
-9.078e-06 879.7
-7.337e-06 874.6
-5.931e-06 870.2
-4.794e-06 866.8
-3.875e-06 864.2
-3.132e-06 862.3
-2.531e-06 861.1
-2.046e-06 860.5
-1.654e-06 860.6
-1.337e-06 861.4
-1.080e-06 862.7
-8.733e-07 864.6
-7.059e-07 867.3
-5.706e-07 870.4
-4.612e-07 874.2
-3.728e-07 879.9
-3.013e-07 886.8
-2.435e-07 894.8
-1.968e-07 906.5
-1.591e-07 922.2
-1.286e-07 941.6
-1.039e-07 965.5
-8.402e-08 1003.8
-6.791e-08 1054.7
-5.489e-08 1121.4
-4.437e-08 1216.7
-3.586e-08 1389.0
-2.899e-08 1689.7
-2.343e-08 2339.5
-1.894e-08 3484.2
-1.531e-08 4734.2
-1.237e-08 5744.6
-1.000e-08 6000.0
\ No newline at end of file
+1.000e+02 1096.8
+8.437e+01 1096.1
+7.118e+01 1095.5
+6.005e+01 1095.1
+5.066e+01 1094.8
+4.274e+01 1094.5
+3.606e+01 1094.3
+3.042e+01 1094.2
+2.567e+01 1094.0
+2.166e+01 1093.9
+1.827e+01 1093.9
+1.541e+01 1093.8
+1.300e+01 1093.8
+1.097e+01 1093.7
+9.256e+00 1093.7
+7.809e+00 1093.7
+6.589e+00 1093.7
+5.559e+00 1093.7
+4.690e+00 1093.7
+3.957e+00 1093.6
+3.338e+00 1093.5
+2.816e+00 1093.2
+2.376e+00 1092.5
+2.005e+00 1090.7
+1.691e+00 1087.4
+1.427e+00 1082.4
+1.204e+00 1075.5
+1.016e+00 1066.1
+8.568e-01 1052.5
+7.229e-01 1035.7
+6.099e-01 1015.4
+5.145e-01 991.8
+4.341e-01 962.7
+3.662e-01 931.8
+3.090e-01 900.7
+2.607e-01 870.5
+2.199e-01 841.9
+1.855e-01 815.3
+1.565e-01 791.1
+1.321e-01 769.5
+1.114e-01 750.3
+9.401e-02 733.4
+7.931e-02 718.0
+6.691e-02 704.1
+5.645e-02 691.6
+4.763e-02 680.5
+4.018e-02 670.3
+3.390e-02 661.3
+2.860e-02 653.4
+2.413e-02 646.7
+2.036e-02 640.8
+1.718e-02 635.4
+1.449e-02 630.8
+1.222e-02 626.9
+1.031e-02 623.8
+8.702e-03 620.8
+7.341e-03 618.0
+6.194e-03 615.6
+5.225e-03 613.5
+4.409e-03 611.7
+3.719e-03 610.1
+3.138e-03 608.6
+2.647e-03 607.5
+2.234e-03 606.6
+1.884e-03 605.6
+1.590e-03 604.7
+1.341e-03 603.9
+1.132e-03 603.3
+9.547e-04 602.6
+8.055e-04 601.8
+6.795e-04 600.9
+5.733e-04 600.1
+4.837e-04 599.2
+4.081e-04 598.3
+3.443e-04 597.3
+2.905e-04 596.3
+2.451e-04 595.2
+2.067e-04 593.9
+1.744e-04 592.5
+1.472e-04 591.0
+1.242e-04 589.5
+1.047e-04 587.8
+8.837e-05 586.1
+7.456e-05 584.4
+6.290e-05 582.7
+5.307e-05 581.1
+4.477e-05 579.4
+3.777e-05 577.8
+3.187e-05 576.2
+2.689e-05 574.5
+2.268e-05 572.6
+1.914e-05 570.6
+1.615e-05 568.5
+1.362e-05 566.2
+1.149e-05 563.6
+9.696e-06 560.9
+8.180e-06 558.0
+6.901e-06 555.0
+5.822e-06 552.1
+4.912e-06 548.9
+4.144e-06 545.9
+3.496e-06 543.0
+2.950e-06 540.4
+2.489e-06 537.8
+2.100e-06 535.4
+1.771e-06 533.1
+1.495e-06 531.0
+1.261e-06 529.1
+1.064e-06 527.2
+8.975e-07 525.6
+7.572e-07 524.0
+6.388e-07 522.6
+5.389e-07 521.2
+4.547e-07 519.9
+3.836e-07 518.8
+3.236e-07 517.7
+2.730e-07 516.7
+2.304e-07 515.8
+1.944e-07 515.0
+1.640e-07 514.2
+1.383e-07 513.6
+1.167e-07 512.9
+9.847e-08 512.4
+8.307e-08 511.9
+7.009e-08 511.5
+5.913e-08 511.0
+4.989e-08 510.7
+4.209e-08 510.4
+3.551e-08 510.1
+2.996e-08 509.8
+2.527e-08 509.6
+2.132e-08 509.3
+1.799e-08 509.2
+1.518e-08 509.0
+1.281e-08 508.8
+1.080e-08 508.7
+9.114e-09 508.7
+7.690e-09 508.7
+6.488e-09 508.7
+5.473e-09 508.7
+4.618e-09 508.7
+3.896e-09 508.7
+3.287e-09 508.7
+2.773e-09 508.7
+2.340e-09 508.7
+1.974e-09 508.7
+1.665e-09 508.7
+1.405e-09 508.7
+1.185e-09 508.7
+1.000e-09 508.7
\ No newline at end of file
diff --git a/fastchem_vulcan/obj/calc_densities.d b/fastchem_vulcan/obj/calc_densities.d
new file mode 100644
index 0000000..59bcb75
--- /dev/null
+++ b/fastchem_vulcan/obj/calc_densities.d
@@ -0,0 +1,3 @@
+../obj/calc_densities.o: calc_densities.cpp fastchem.h \
+ fastchem_constants.h species_struct.h input_output_struct.h options.h \
+ solver.h
diff --git a/fastchem_vulcan/obj/calc_densities.o b/fastchem_vulcan/obj/calc_densities.o
new file mode 100644
index 0000000..b977e73
Binary files /dev/null and b/fastchem_vulcan/obj/calc_densities.o differ
diff --git a/fastchem_vulcan/obj/calc_electron_densities.d b/fastchem_vulcan/obj/calc_electron_densities.d
new file mode 100644
index 0000000..bf708a5
--- /dev/null
+++ b/fastchem_vulcan/obj/calc_electron_densities.d
@@ -0,0 +1,3 @@
+../obj/calc_electron_densities.o: calc_electron_densities.cpp fastchem.h \
+ fastchem_constants.h species_struct.h input_output_struct.h options.h \
+ solver.h
diff --git a/fastchem_vulcan/obj/calc_electron_densities.o b/fastchem_vulcan/obj/calc_electron_densities.o
new file mode 100644
index 0000000..574cb69
Binary files /dev/null and b/fastchem_vulcan/obj/calc_electron_densities.o differ
diff --git a/fastchem_vulcan/obj/calc_mean_mol_weight.d b/fastchem_vulcan/obj/calc_mean_mol_weight.d
new file mode 100644
index 0000000..e53c1fb
--- /dev/null
+++ b/fastchem_vulcan/obj/calc_mean_mol_weight.d
@@ -0,0 +1,3 @@
+../obj/calc_mean_mol_weight.o: calc_mean_mol_weight.cpp fastchem.h \
+ fastchem_constants.h species_struct.h input_output_struct.h options.h \
+ solver.h
diff --git a/fastchem_vulcan/obj/calc_mean_mol_weight.o b/fastchem_vulcan/obj/calc_mean_mol_weight.o
new file mode 100644
index 0000000..b28739d
Binary files /dev/null and b/fastchem_vulcan/obj/calc_mean_mol_weight.o differ
diff --git a/fastchem_vulcan/obj/calc_species_densities.d b/fastchem_vulcan/obj/calc_species_densities.d
new file mode 100644
index 0000000..4b1dabd
--- /dev/null
+++ b/fastchem_vulcan/obj/calc_species_densities.d
@@ -0,0 +1,3 @@
+../obj/calc_species_densities.o: calc_species_densities.cpp fastchem.h \
+ fastchem_constants.h species_struct.h input_output_struct.h options.h \
+ solver.h
diff --git a/fastchem_vulcan/obj/calc_species_densities.o b/fastchem_vulcan/obj/calc_species_densities.o
new file mode 100644
index 0000000..4363f3d
Binary files /dev/null and b/fastchem_vulcan/obj/calc_species_densities.o differ
diff --git a/fastchem_vulcan/obj/check.d b/fastchem_vulcan/obj/check.d
new file mode 100644
index 0000000..e6ede78
--- /dev/null
+++ b/fastchem_vulcan/obj/check.d
@@ -0,0 +1 @@
+../obj/check.o: check.cpp species_struct.h
diff --git a/fastchem_vulcan/obj/check.o b/fastchem_vulcan/obj/check.o
new file mode 100644
index 0000000..60d498e
Binary files /dev/null and b/fastchem_vulcan/obj/check.o differ
diff --git a/fastchem_vulcan/obj/fastchem.d b/fastchem_vulcan/obj/fastchem.d
new file mode 100644
index 0000000..919f700
--- /dev/null
+++ b/fastchem_vulcan/obj/fastchem.d
@@ -0,0 +1,2 @@
+../obj/fastchem.o: fastchem.cpp fastchem.h fastchem_constants.h \
+ species_struct.h input_output_struct.h options.h solver.h
diff --git a/fastchem_vulcan/obj/fastchem.o b/fastchem_vulcan/obj/fastchem.o
new file mode 100644
index 0000000..175161d
Binary files /dev/null and b/fastchem_vulcan/obj/fastchem.o differ
diff --git a/fastchem_vulcan/obj/get.d b/fastchem_vulcan/obj/get.d
new file mode 100644
index 0000000..e28728a
--- /dev/null
+++ b/fastchem_vulcan/obj/get.d
@@ -0,0 +1,2 @@
+../obj/get.o: get.cpp fastchem.h fastchem_constants.h species_struct.h \
+ input_output_struct.h options.h solver.h
diff --git a/fastchem_vulcan/obj/get.o b/fastchem_vulcan/obj/get.o
new file mode 100644
index 0000000..27763a8
Binary files /dev/null and b/fastchem_vulcan/obj/get.o differ
diff --git a/fastchem_vulcan/obj/init.d b/fastchem_vulcan/obj/init.d
new file mode 100644
index 0000000..0053ee5
--- /dev/null
+++ b/fastchem_vulcan/obj/init.d
@@ -0,0 +1,2 @@
+../obj/init.o: init.cpp fastchem.h fastchem_constants.h species_struct.h \
+ input_output_struct.h options.h solver.h
diff --git a/fastchem_vulcan/obj/init.o b/fastchem_vulcan/obj/init.o
new file mode 100644
index 0000000..f67af82
Binary files /dev/null and b/fastchem_vulcan/obj/init.o differ
diff --git a/fastchem_vulcan/obj/init_add_species.d b/fastchem_vulcan/obj/init_add_species.d
new file mode 100644
index 0000000..cea0ce2
--- /dev/null
+++ b/fastchem_vulcan/obj/init_add_species.d
@@ -0,0 +1,3 @@
+../obj/init_add_species.o: init_add_species.cpp fastchem.h \
+ fastchem_constants.h species_struct.h input_output_struct.h options.h \
+ solver.h
diff --git a/fastchem_vulcan/obj/init_add_species.o b/fastchem_vulcan/obj/init_add_species.o
new file mode 100644
index 0000000..8d8c11b
Binary files /dev/null and b/fastchem_vulcan/obj/init_add_species.o differ
diff --git a/fastchem_vulcan/obj/init_read_files.d b/fastchem_vulcan/obj/init_read_files.d
new file mode 100644
index 0000000..f311105
--- /dev/null
+++ b/fastchem_vulcan/obj/init_read_files.d
@@ -0,0 +1,3 @@
+../obj/init_read_files.o: init_read_files.cpp fastchem.h \
+ fastchem_constants.h species_struct.h input_output_struct.h options.h \
+ solver.h
diff --git a/fastchem_vulcan/obj/init_read_files.o b/fastchem_vulcan/obj/init_read_files.o
new file mode 100644
index 0000000..fd43252
Binary files /dev/null and b/fastchem_vulcan/obj/init_read_files.o differ
diff --git a/fastchem_vulcan/obj/init_solver.d b/fastchem_vulcan/obj/init_solver.d
new file mode 100644
index 0000000..4abd485
--- /dev/null
+++ b/fastchem_vulcan/obj/init_solver.d
@@ -0,0 +1,2 @@
+../obj/init_solver.o: init_solver.cpp fastchem.h fastchem_constants.h \
+ species_struct.h input_output_struct.h options.h solver.h
diff --git a/fastchem_vulcan/obj/init_solver.o b/fastchem_vulcan/obj/init_solver.o
new file mode 100644
index 0000000..d6b7585
Binary files /dev/null and b/fastchem_vulcan/obj/init_solver.o differ
diff --git a/fastchem_vulcan/obj/mass_action_constant.d b/fastchem_vulcan/obj/mass_action_constant.d
new file mode 100644
index 0000000..2f9b102
--- /dev/null
+++ b/fastchem_vulcan/obj/mass_action_constant.d
@@ -0,0 +1,2 @@
+../obj/mass_action_constant.o: mass_action_constant.cpp \
+ fastchem_constants.h species_struct.h
diff --git a/fastchem_vulcan/obj/mass_action_constant.o b/fastchem_vulcan/obj/mass_action_constant.o
new file mode 100644
index 0000000..3c89fdf
Binary files /dev/null and b/fastchem_vulcan/obj/mass_action_constant.o differ
diff --git a/fastchem_vulcan/obj/model_main.d b/fastchem_vulcan/obj/model_main.d
new file mode 100644
index 0000000..077573f
--- /dev/null
+++ b/fastchem_vulcan/obj/model_main.d
@@ -0,0 +1,4 @@
+../obj/model_main.o: model_main.cpp ../fastchem_src/fastchem.h \
+ ../fastchem_src/fastchem_constants.h ../fastchem_src/species_struct.h \
+ ../fastchem_src/input_output_struct.h ../fastchem_src/options.h \
+ ../fastchem_src/solver.h ../fastchem_src/input_output_struct.h
diff --git a/fastchem_vulcan/obj/model_main.o b/fastchem_vulcan/obj/model_main.o
new file mode 100644
index 0000000..6c23ec9
Binary files /dev/null and b/fastchem_vulcan/obj/model_main.o differ
diff --git a/fastchem_vulcan/obj/options_read_files.d b/fastchem_vulcan/obj/options_read_files.d
new file mode 100644
index 0000000..f33cadd
--- /dev/null
+++ b/fastchem_vulcan/obj/options_read_files.d
@@ -0,0 +1 @@
+../obj/options_read_files.o: options_read_files.cpp options.h
diff --git a/fastchem_vulcan/obj/options_read_files.o b/fastchem_vulcan/obj/options_read_files.o
new file mode 100644
index 0000000..a22a52e
Binary files /dev/null and b/fastchem_vulcan/obj/options_read_files.o differ
diff --git a/fastchem_vulcan/obj/read_config.d b/fastchem_vulcan/obj/read_config.d
new file mode 100644
index 0000000..010439b
--- /dev/null
+++ b/fastchem_vulcan/obj/read_config.d
@@ -0,0 +1 @@
+../obj/read_config.o: read_config.cpp
diff --git a/fastchem_vulcan/obj/read_config.o b/fastchem_vulcan/obj/read_config.o
new file mode 100644
index 0000000..1962e49
Binary files /dev/null and b/fastchem_vulcan/obj/read_config.o differ
diff --git a/fastchem_vulcan/obj/set.d b/fastchem_vulcan/obj/set.d
new file mode 100644
index 0000000..10c47aa
--- /dev/null
+++ b/fastchem_vulcan/obj/set.d
@@ -0,0 +1,2 @@
+../obj/set.o: set.cpp fastchem.h fastchem_constants.h species_struct.h \
+ input_output_struct.h options.h solver.h
diff --git a/fastchem_vulcan/obj/set.o b/fastchem_vulcan/obj/set.o
new file mode 100644
index 0000000..dcef3b3
Binary files /dev/null and b/fastchem_vulcan/obj/set.o differ
diff --git a/fastchem_vulcan/obj/solve_fastchem.d b/fastchem_vulcan/obj/solve_fastchem.d
new file mode 100644
index 0000000..0a72f4a
--- /dev/null
+++ b/fastchem_vulcan/obj/solve_fastchem.d
@@ -0,0 +1,3 @@
+../obj/solve_fastchem.o: solve_fastchem.cpp fastchem.h \
+ fastchem_constants.h species_struct.h input_output_struct.h options.h \
+ solver.h
diff --git a/fastchem_vulcan/obj/solve_fastchem.o b/fastchem_vulcan/obj/solve_fastchem.o
new file mode 100644
index 0000000..ed00e30
Binary files /dev/null and b/fastchem_vulcan/obj/solve_fastchem.o differ
diff --git a/fastchem_vulcan/obj/solver.d b/fastchem_vulcan/obj/solver.d
new file mode 100644
index 0000000..821270a
--- /dev/null
+++ b/fastchem_vulcan/obj/solver.d
@@ -0,0 +1,2 @@
+../obj/solver.o: solver.cpp solver.h fastchem_constants.h \
+ species_struct.h options.h
diff --git a/fastchem_vulcan/obj/solver.o b/fastchem_vulcan/obj/solver.o
new file mode 100644
index 0000000..ea61901
Binary files /dev/null and b/fastchem_vulcan/obj/solver.o differ
diff --git a/fastchem_vulcan/obj/solver_bisection.d b/fastchem_vulcan/obj/solver_bisection.d
new file mode 100644
index 0000000..a55994a
--- /dev/null
+++ b/fastchem_vulcan/obj/solver_bisection.d
@@ -0,0 +1,2 @@
+../obj/solver_bisection.o: solver_bisection.cpp solver.h \
+ fastchem_constants.h species_struct.h options.h
diff --git a/fastchem_vulcan/obj/solver_bisection.o b/fastchem_vulcan/obj/solver_bisection.o
new file mode 100644
index 0000000..6e1deb9
Binary files /dev/null and b/fastchem_vulcan/obj/solver_bisection.o differ
diff --git a/fastchem_vulcan/obj/solver_coeff.d b/fastchem_vulcan/obj/solver_coeff.d
new file mode 100644
index 0000000..76c707e
--- /dev/null
+++ b/fastchem_vulcan/obj/solver_coeff.d
@@ -0,0 +1,2 @@
+../obj/solver_coeff.o: solver_coeff.cpp solver.h fastchem_constants.h \
+ species_struct.h options.h
diff --git a/fastchem_vulcan/obj/solver_coeff.o b/fastchem_vulcan/obj/solver_coeff.o
new file mode 100644
index 0000000..42fe33b
Binary files /dev/null and b/fastchem_vulcan/obj/solver_coeff.o differ
diff --git a/fastchem_vulcan/obj/solver_linsol_quadsol.d b/fastchem_vulcan/obj/solver_linsol_quadsol.d
new file mode 100644
index 0000000..c9422d6
--- /dev/null
+++ b/fastchem_vulcan/obj/solver_linsol_quadsol.d
@@ -0,0 +1,2 @@
+../obj/solver_linsol_quadsol.o: solver_linsol_quadsol.cpp solver.h \
+ fastchem_constants.h species_struct.h options.h
diff --git a/fastchem_vulcan/obj/solver_linsol_quadsol.o b/fastchem_vulcan/obj/solver_linsol_quadsol.o
new file mode 100644
index 0000000..34a3f87
Binary files /dev/null and b/fastchem_vulcan/obj/solver_linsol_quadsol.o differ
diff --git a/fastchem_vulcan/obj/solver_nelder_mead_electron.d b/fastchem_vulcan/obj/solver_nelder_mead_electron.d
new file mode 100644
index 0000000..4638a11
--- /dev/null
+++ b/fastchem_vulcan/obj/solver_nelder_mead_electron.d
@@ -0,0 +1,2 @@
+../obj/solver_nelder_mead_electron.o: solver_nelder_mead_electron.cpp \
+ solver.h fastchem_constants.h species_struct.h options.h
diff --git a/fastchem_vulcan/obj/solver_nelder_mead_electron.o b/fastchem_vulcan/obj/solver_nelder_mead_electron.o
new file mode 100644
index 0000000..482631b
Binary files /dev/null and b/fastchem_vulcan/obj/solver_nelder_mead_electron.o differ
diff --git a/fastchem_vulcan/obj/solver_newtsol.d b/fastchem_vulcan/obj/solver_newtsol.d
new file mode 100644
index 0000000..05b2760
--- /dev/null
+++ b/fastchem_vulcan/obj/solver_newtsol.d
@@ -0,0 +1,2 @@
+../obj/solver_newtsol.o: solver_newtsol.cpp solver.h fastchem_constants.h \
+ species_struct.h options.h
diff --git a/fastchem_vulcan/obj/solver_newtsol.o b/fastchem_vulcan/obj/solver_newtsol.o
new file mode 100644
index 0000000..0c89c24
Binary files /dev/null and b/fastchem_vulcan/obj/solver_newtsol.o differ
diff --git a/fastchem_vulcan/obj/species_struct.d b/fastchem_vulcan/obj/species_struct.d
new file mode 100644
index 0000000..ec871d6
--- /dev/null
+++ b/fastchem_vulcan/obj/species_struct.d
@@ -0,0 +1 @@
+../obj/species_struct.o: species_struct.cpp species_struct.h
diff --git a/fastchem_vulcan/obj/species_struct.o b/fastchem_vulcan/obj/species_struct.o
new file mode 100644
index 0000000..994b8f9
Binary files /dev/null and b/fastchem_vulcan/obj/species_struct.o differ
diff --git a/fastchem_vulcan/output/chem_species.dat b/fastchem_vulcan/output/chem_species.dat
index 44d17c3..9680c25 100644
--- a/fastchem_vulcan/output/chem_species.dat
+++ b/fastchem_vulcan/output/chem_species.dat
@@ -84,65 +84,113 @@ CH2NH2_i=88;
H2CN_i=89;
C3H2_i=90;
C3H4_i=91;
-CH2CCH2_i=92;
-C3H5_i=93;
-C3H7_i=94;
-C3H8_i=95;
-C4H_i=96;
-C4H2_i=97;
-C4H3_i=98;
-C4H4_i=99;
-C4H5_i=100;
-C4H6_i=101;
-C4H8_i=102;
-C4H9_i=103;
-C4H10_i=104;
-CH2CN_i=105;
-CH3CN_i=106;
-CH3NO_i=107;
-C3H3_i=108;
-C3H6_i=109;
-C2H3O_i=110;
-CH3CHO_i=111;
-C2H4OH_i=112;
-CH2CO_i=113;
-CH2CHO_i=114;
-H2O2_i=115;
-HC3N_i=116;
+C3H5_i=92;
+C3H7_i=93;
+C3H8_i=94;
+C4H_i=95;
+C4H2_i=96;
+C4H3_i=97;
+C4H4_i=98;
+C4H5_i=99;
+C4H6_i=100;
+C4H8_i=101;
+C4H9_i=102;
+C4H10_i=103;
+CH2CN_i=104;
+CH3CN_i=105;
+CH3NO_i=106;
+C3H3_i=107;
+C3H6_i=108;
+C2H3O_i=109;
+CH3CHO_i=110;
+C2H4OH_i=111;
+CH2CO_i=112;
+CH2CHO_i=113;
+H2O2_i=114;
+HC3N_i=115;
+HC2N_i=116;
C2H2CN_i=117;
C2H3CN_i=118;
H2NN_i=119;
CH3O2_i=120;
CH3OOH_i=121;
-TiO_i=122;
-TiO2_i=123;
-VO_i=124;
-Cl2_i=125;
-HCl_i=126;
-HOCl_i=127;
-CCl_i=128;
-CHCl_i=129;
-CH2Cl_i=130;
-CH3Cl_i=131;
-KH_i=132;
-HF_i=133;
-MgH_i=134;
-PH3_i=135;
-S2_i=136;
-HS_i=137;
-H2S_i=138;
-SO_i=139;
-SO2_i=140;
-COS_i=141;
-CS_i=142;
-HCS_i=143;
-HS2_i=144;
-SiO_i=145;
-SiH_i=146;
-NaH_i=147;
-FeO_i=148;
-O_1_i=149;
-CH2_1_i=150;
-N_2D_i=151;
-HSO_i=152;
-HSO3_i=153;
+C6H6_i=122;
+C6H5_i=123;
+CH3C2H_i=124;
+TiO_i=125;
+TiO2_i=126;
+VO_i=127;
+TiH_i=128;
+TiC2_i=129;
+TiN_i=130;
+VC2_i=131;
+VN_i=132;
+TiC_i=133;
+Cl2_i=134;
+HCl_i=135;
+HOCl_i=136;
+CCl_i=137;
+CHCl_i=138;
+CH2Cl_i=139;
+CH3Cl_i=140;
+KH_i=141;
+HF_i=142;
+MgH_i=143;
+S2_i=144;
+H2S_i=145;
+SO_i=146;
+SO2_i=147;
+S2O_i=148;
+SO3_i=149;
+COS_i=150;
+CS_i=151;
+HCS_i=152;
+SH_i=153;
+HS2_i=154;
+SiO_i=155;
+SiH_i=156;
+NaH_i=157;
+FeO_i=158;
+FeO2_i=159;
+Fe(OH)2_i=160;
+O_1_i=161;
+CH2_1_i=162;
+N_2D_i=163;
+CS2_i=164;
+NS_i=165;
+S3_i=166;
+S4_i=167;
+S8_i=168;
+HSO_i=169;
+HSO2_i=170;
+HSO3_i=171;
+H2SO4_i=172;
+CH3S_i=173;
+CH3SH_i=174;
+P_i=175;
+PH3_i=176;
+P2O_i=177;
+P2O2_i=178;
+P2O3_i=179;
+PH_i=180;
+PH2_i=181;
+PO_i=182;
+PO2_i=183;
+PO3_i=184;
+H2POH_i=185;
+H3PO4_i=186;
+HOPO_i=187;
+HOPO2_i=188;
+HPO_i=189;
+HPOH_i=190;
+P2_i=191;
+P4_i=192;
+P2H2_i=193;
+P2H4_i=194;
+P2H3_i=195;
+P4O6_i=196;
+P2H_i=197;
+H3PO3_i=198;
+HPO2_i=199;
+P2O4_i=200;
+P2O5_i=201;
diff --git a/fastchem_vulcan/output/monitor_output.dat b/fastchem_vulcan/output/monitor_output.dat
index c75f369..6c87865 100644
--- a/fastchem_vulcan/output/monitor_output.dat
+++ b/fastchem_vulcan/output/monitor_output.dat
@@ -1,121 +1,151 @@
#grid point c_iterations c_convergence P T(k) n_ (cm-3) n_g (cm-3) m(u) C H He N O P S Si Ti V Cl K Na Mg F Ca Fe e-
-0 5 ok 1.0000000000e+03 2.2865000000e+03 5.8263941340e+21 3.1677074881e+21 2.3664985635e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-1 5 ok 8.0830000000e+02 2.1670000000e+03 4.9695217517e+21 2.7016553445e+21 2.3666612952e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-2 4 ok 6.5330000000e+02 2.0522000000e+03 4.2414555083e+21 2.3057342559e+21 2.3667758062e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-3 4 ok 5.2810000000e+02 1.9421000000e+03 3.6231091359e+21 1.9695220900e+21 2.3668569849e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-4 4 ok 4.2680000000e+02 1.8395000000e+03 3.0915161233e+21 1.6805092045e+21 2.3669118132e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-5 4 ok 3.4500000000e+02 1.7542000000e+03 2.6205480526e+21 1.4244797025e+21 2.3669403827e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-6 4 ok 2.7890000000e+02 1.6927000000e+03 2.1954408389e+21 1.1933966022e+21 2.3669462644e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-7 4 ok 2.2540000000e+02 1.6367000000e+03 1.8350101739e+21 9.9747290210e+20 2.3669486008e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-8 4 ok 1.8220000000e+02 1.5860000000e+03 1.5307306144e+21 8.3207307053e+20 2.3669482263e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-9 4 ok 1.4730000000e+02 1.5618000000e+03 1.2566875858e+21 6.8311465948e+20 2.3669287048e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-10 4 ok 1.1900000000e+02 1.5540000000e+03 1.0203271922e+21 5.5464132395e+20 2.3668933747e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-11 4 ok 9.6200000000e+01 1.5421000000e+03 8.3118854605e+20 4.5183389994e+20 2.3668579557e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-12 4 ok 7.7760000000e+01 1.5316000000e+03 6.7645684399e+20 3.6772839920e+20 2.3668153701e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-13 5 ok 6.2850000000e+01 1.5258000000e+03 5.4881503458e+20 2.9834856163e+20 2.3667561194e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-14 5 ok 5.0800000000e+01 1.5189000000e+03 4.4559467389e+20 2.4224276063e+20 2.3666859941e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-15 5 ok 4.1060000000e+01 1.5178000000e+03 3.6040507951e+20 1.9593890356e+20 2.3665826946e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-16 6 ok 3.3190000000e+01 1.5248000000e+03 2.8996902044e+20 1.5765605172e+20 2.3664232009e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-17 7 ok 2.6830000000e+01 1.5269000000e+03 2.3406473918e+20 1.2727009096e+20 2.3662525468e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-18 8 ok 2.1680000000e+01 1.5279000000e+03 1.8899751940e+20 1.0277337624e+20 2.3660664586e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-19 9 ok 1.7530000000e+01 1.5436000000e+03 1.5124772453e+20 8.2255211452e+19 2.3657937563e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-20 9 ok 1.4170000000e+01 1.5640000000e+03 1.2064853831e+20 6.5621987302e+19 2.3655064649e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-21 9 ok 1.1450000000e+01 1.5755000000e+03 9.6769024084e+19 5.2638481951e+19 2.3652903483e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-22 9 ok 9.2550000000e+00 1.5772000000e+03 7.8128907327e+19 4.2501663805e+19 2.3651422975e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-23 8 ok 7.4810000000e+00 1.5742000000e+03 6.3270560095e+19 3.4420408770e+19 2.3650325021e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-24 7 ok 6.0470000000e+00 1.5730000000e+03 5.1179470598e+19 2.7843736998e+19 2.3649377943e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-25 7 ok 4.8870000000e+00 1.5707000000e+03 4.1420969376e+19 2.2535405246e+19 2.3648649411e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-26 6 ok 3.9500000000e+00 1.5649000000e+03 3.3602555640e+19 1.8282129547e+19 2.3648139802e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-27 6 ok 3.1930000000e+00 1.5550000000e+03 2.7335313525e+19 1.4872528236e+19 2.3647798401e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-28 5 ok 2.5810000000e+00 1.5433000000e+03 2.2263254755e+19 1.2113061586e+19 2.3647551902e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-29 5 ok 2.0860000000e+00 1.5285000000e+03 1.8167571105e+19 9.8847374392e+18 2.3647388562e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-30 5 ok 1.6860000000e+00 1.5119000000e+03 1.4845007723e+19 8.0770129686e+18 2.3647275146e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-31 5 ok 1.3630000000e+00 1.4949000000e+03 1.2137467050e+19 6.6038924362e+18 2.3647189408e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-32 4 ok 1.1020000000e+00 1.4770000000e+03 9.9321740883e+18 5.4040253318e+18 2.3647128091e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-33 4 ok 8.9040000000e-01 1.4589000000e+03 8.1245999907e+18 4.4205458962e+18 2.3647081101e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-34 4 ok 7.1970000000e-01 1.4404000000e+03 6.6513548980e+18 3.6189673664e+18 2.3647046814e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-35 4 ok 5.8170000000e-01 1.4192000000e+03 5.4562831929e+18 2.9687370891e+18 2.3647031053e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-36 4 ok 4.7020000000e-01 1.3964000000e+03 4.4824361287e+18 2.4388723025e+18 2.3647024711e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-37 4 ok 3.8000000000e-01 1.3725000000e+03 3.6856369023e+18 2.0053377087e+18 2.3647023561e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-38 4 ok 3.0720000000e-01 1.3481000000e+03 3.0334750575e+18 1.6504994335e+18 2.3647024735e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-39 4 ok 2.4830000000e-01 1.3227000000e+03 2.4989454304e+18 1.3596641381e+18 2.3647029135e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-40 4 ok 2.0070000000e-01 1.2973000000e+03 2.0594366964e+18 1.1205293367e+18 2.3647033825e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-41 4 ok 1.6220000000e-01 1.2718000000e+03 1.6977495477e+18 9.2373692910e+17 2.3647039355e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-42 4 ok 1.3110000000e-01 1.2463000000e+03 1.4003023320e+18 7.6189719312e+17 2.3647045955e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-43 4 ok 1.0600000000e-01 1.2212000000e+03 1.1554759625e+18 6.2868825433e+17 2.3647053044e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-44 4 ok 8.5660000000e-02 1.1983000000e+03 9.5159991947e+17 5.1776034822e+17 2.3647055236e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-45 4 ok 6.9240000000e-02 1.1771000000e+03 7.8304291759e+17 4.2604941806e+17 2.3647054173e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-46 4 ok 5.5960000000e-02 1.1573000000e+03 6.4368524469e+17 3.5022571423e+17 2.3647050623e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-47 4 ok 4.5230000000e-02 1.1402000000e+03 5.2806474313e+17 2.8731733402e+17 2.3647040825e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-48 4 ok 3.6560000000e-02 1.1273000000e+03 4.3172574711e+17 2.3489996767e+17 2.3647021685e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-49 4 ok 2.9550000000e-02 1.1167000000e+03 3.5225880173e+17 1.9166254296e+17 2.3647000705e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-50 4 ok 2.3890000000e-02 1.1070000000e+03 2.8728243474e+17 1.5630929555e+17 2.3646982171e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-51 4 ok 1.9310000000e-02 1.0969000000e+03 2.3434490729e+17 1.2750626205e+17 2.3646967947e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-52 4 ok 1.5610000000e-02 1.0865000000e+03 1.9125520010e+17 1.0406134847e+17 2.3646956897e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-53 4 ok 1.2610000000e-02 1.0764000000e+03 1.5594853725e+17 8.4851138604e+16 2.3646947550e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-54 4 ok 1.0200000000e-02 1.0669000000e+03 1.2726712044e+17 6.9245687834e+16 2.3646939551e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-55 4 ok 8.2410000000e-03 1.0592000000e+03 1.0357180843e+17 5.6353152848e+16 2.3646931717e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-56 4 ok 6.6610000000e-03 1.0530000000e+03 8.4207457047e+16 4.5817072826e+16 2.3646924783e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-57 4 ok 5.3840000000e-03 1.0481000000e+03 6.8381986607e+16 3.7206481935e+16 2.3646918979e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-58 4 ok 4.3520000000e-03 1.0443000000e+03 5.5475714843e+16 3.0184214998e+16 2.3646914355e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-59 4 ok 3.5170000000e-03 1.0417000000e+03 4.4943711720e+16 2.4453778894e+16 2.3646910740e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-60 4 ok 2.8430000000e-03 1.0396000000e+03 3.6404055906e+16 1.9807372352e+16 2.3646908113e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-61 4 ok 2.2980000000e-03 1.0377000000e+03 2.9479312919e+16 1.6039635124e+16 2.3646906245e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-62 4 ok 1.8570000000e-03 1.0350000000e+03 2.3884198987e+16 1.2995345517e+16 2.3646905011e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-63 4 ok 1.5010000000e-03 1.0325000000e+03 1.9352173197e+16 1.0529479632e+16 2.3646904110e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-64 4 ok 1.2130000000e-03 1.0301000000e+03 1.5675467856e+16 8.5289916776e+15 2.3646903449e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-65 4 ok 9.8080000000e-04 1.0274000000e+03 1.2708081323e+16 6.9144425527e+15 2.3646902982e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-66 4 ok 7.9280000000e-04 1.0248000000e+03 1.0298254201e+16 5.6032603458e+15 2.3646902624e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-67 4 ok 6.4080000000e-04 1.0224000000e+03 8.3433553312e+15 4.5396036779e+15 2.3646902335e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-68 4 ok 5.1790000000e-04 1.0197000000e+03 6.7610253675e+15 3.6786610048e+15 2.3646902119e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-69 4 ok 4.1860000000e-04 1.0168000000e+03 5.4802801127e+15 2.9818099760e+15 2.3646901951e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-70 4 ok 3.3840000000e-04 1.0130000000e+03 4.4469267720e+15 2.4195644001e+15 2.3646901859e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-71 4 ok 2.7350000000e-04 1.0076000000e+03 3.6133351098e+15 1.9660087608e+15 2.3646901871e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-72 4 ok 2.2110000000e-04 1.0020000000e+03 2.9373797112e+15 1.5982227118e+15 2.3646901905e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-73 4 ok 1.7870000000e-04 9.9500000000e+02 2.3907851166e+15 1.3008216269e+15 2.3646902014e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-74 4 ok 1.4440000000e-04 9.8790000000e+02 1.9457779683e+15 1.0586940803e+15 2.3646902126e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-75 4 ok 1.1670000000e-04 9.8130000000e+02 1.5830992117e+15 8.6136125764e+14 2.3646902213e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-76 4 ok 9.4360000000e-05 9.7290000000e+02 1.2910968073e+15 7.0248330236e+14 2.3646902371e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-77 4 ok 7.6270000000e-05 9.6450000000e+02 1.0526659988e+15 5.7275355220e+14 2.3646902515e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-78 4 ok 6.1650000000e-05 9.5590000000e+02 8.5853835680e+14 4.6712907158e+14 2.3646902653e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-79 4 ok 4.9830000000e-05 9.4600000000e+02 7.0119504296e+14 3.8151887404e+14 2.3646902813e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-80 4 ok 4.0280000000e-05 9.3670000000e+02 5.7243743940e+14 3.1146210799e+14 2.3646902937e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-81 4 ok 3.2550000000e-05 9.2710000000e+02 4.6737287403e+14 2.5429667914e+14 2.3646903051e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-82 4 ok 2.6310000000e-05 9.1770000000e+02 3.8164467660e+14 2.0765213146e+14 2.3646903147e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-83 4 ok 2.1270000000e-05 9.0930000000e+02 3.1138622224e+14 1.6942464166e+14 2.3646903214e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-84 4 ok 1.7190000000e-05 9.0060000000e+02 2.5408734137e+14 1.3824843096e+14 2.3646903277e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-85 4 ok 1.3890000000e-05 8.9280000000e+02 2.0710336720e+14 1.1268454128e+14 2.3646903321e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-86 4 ok 1.1230000000e-05 8.8590000000e+02 1.6874625798e+14 9.1814512266e+13 2.3646903352e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-87 4 ok 9.0780000000e-06 8.7970000000e+02 1.3737088089e+14 7.4743230273e+13 2.3646903373e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-88 4 ok 7.3370000000e-06 8.7460000000e+02 1.1167298965e+14 6.0761057386e+13 2.3646903382e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-89 4 ok 5.9310000000e-06 8.7020000000e+02 9.0729379769e+13 4.9365679810e+13 2.3646903384e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-90 4 ok 4.7940000000e-06 8.6680000000e+02 7.3623799083e+13 4.0058566503e+13 2.3646903376e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-91 4 ok 3.8750000000e-06 8.6420000000e+02 5.9689307634e+13 3.2476836716e+13 2.3646903357e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-92 4 ok 3.1320000000e-06 8.6230000000e+02 4.8350666290e+13 2.6307503947e+13 2.3646903328e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-93 4 ok 2.5310000000e-06 8.6110000000e+02 3.9127099164e+13 2.1288978966e+13 2.3646903283e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-94 4 ok 2.0460000000e-06 8.6050000000e+02 3.1651467356e+13 1.7221502207e+13 2.3646903219e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-95 4 ok 1.6540000000e-06 8.6060000000e+02 2.5584283310e+13 1.3920359151e+13 2.3646903123e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-96 4 ok 1.3370000000e-06 8.6140000000e+02 2.0661679918e+13 1.1241980219e+13 2.3646902979e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-97 4 ok 1.0800000000e-06 8.6270000000e+02 1.6664912705e+13 9.0673469634e+12 2.3646902766e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-98 4 ok 8.7330000000e-07 8.6460000000e+02 1.3445820483e+13 7.3158451743e+12 2.3646902443e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-99 4 ok 7.0590000000e-07 8.6730000000e+02 1.0834600583e+13 5.8950855561e+12 2.3646901929e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-100 4 ok 5.7060000000e-07 8.7040000000e+02 8.7267380670e+12 4.7482017299e+12 2.3646901146e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-101 4 ok 4.6120000000e-07 8.7420000000e+02 7.0229169054e+12 3.8211560452e+12 2.3646899926e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-102 4 ok 3.7280000000e-07 8.7990000000e+02 5.6400321671e+12 3.0687312994e+12 2.3646897830e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-103 4 ok 3.0130000000e-07 8.8680000000e+02 4.5228520840e+12 2.4608759626e+12 2.3646894704e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-104 4 ok 2.4350000000e-07 8.9480000000e+02 3.6225288609e+12 1.9710119940e+12 2.3646890705e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-105 4 ok 1.9680000000e-07 9.0650000000e+02 2.8899881207e+12 1.5724381160e+12 2.3646885687e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-106 4 ok 1.5910000000e-07 9.2220000000e+02 2.2965913792e+12 1.2495721542e+12 2.3646880055e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-107 4 ok 1.2860000000e-07 9.4160000000e+02 1.8180802220e+12 9.8921523350e+11 2.3646872166e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-108 4 ok 1.0390000000e-07 9.6550000000e+02 1.4325226115e+12 7.7943435891e+11 2.3646855436e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-109 4 ok 8.4020000000e-08 1.0038000000e+03 1.1142240191e+12 6.0625001562e+11 2.3646790860e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-110 4 ok 6.7910000000e-08 1.0547000000e+03 8.5711008577e+11 4.6635975062e+11 2.3646507225e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-111 4 ok 5.4890000000e-08 1.1214000000e+03 6.5153313708e+11 3.5452670634e+11 2.3644983205e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-112 4 ok 4.4370000000e-08 1.2167000000e+03 4.8516729163e+11 2.6413271630e+11 2.3633104419e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-113 4 ok 3.5860000000e-08 1.3890000000e+03 3.4024278984e+11 1.8699255531e+11 2.3410790107e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-114 4 ok 2.8990000000e-08 1.6897000000e+03 1.7250680957e+11 1.2426673513e+11 1.7860878325e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-115 5 ok 2.3430000000e-08 2.3395000000e+03 7.2570025500e+10 7.2537989788e+10 1.2871916572e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-116 3 ok 1.8940000000e-08 3.4842000000e+03 3.9372598294e+10 3.9372516638e+10 1.2866261017e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-117 1 ok 1.5310000000e-08 4.7342000000e+03 2.3423126659e+10 2.3423126644e+10 1.2866234341e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-118 1 ok 1.2370000000e-08 5.7446000000e+03 1.5596465278e+10 1.5596465277e+10 1.2866234334e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
-119 1 ok 1.0000000000e-08 6.0000000000e+03 1.2071605286e+10 1.2071605286e+10 1.2866234333e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+0 3 ok 1.0000000000e+02 1.0968000000e+03 1.2149933183e+21 6.6037228041e+20 2.3673224974e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+1 3 ok 8.4370000000e+01 1.0961000000e+03 1.0257387591e+21 5.5751190839e+20 2.3673092166e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+2 3 ok 7.1180000000e+01 1.0955000000e+03 8.6584838189e+20 4.7061078827e+20 2.3672947878e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+3 3 ok 6.0050000000e+01 1.0951000000e+03 7.3072284654e+20 3.9716915209e+20 2.3672795547e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+4 3 ok 5.0660000000e+01 1.0948000000e+03 6.1662481246e+20 3.3515574924e+20 2.3672640001e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+5 3 ok 4.2740000000e+01 1.0945000000e+03 5.2036313939e+20 2.8283622289e+20 2.3672485937e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+6 3 ok 3.6060000000e+01 1.0943000000e+03 4.3911103607e+20 2.3867426845e+20 2.3672336360e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+7 3 ok 3.0420000000e+01 1.0942000000e+03 3.7046306263e+20 2.0136258424e+20 2.3672193789e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+8 3 ok 2.5670000000e+01 1.0940000000e+03 3.1267166592e+20 1.6995143018e+20 2.3672061197e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+9 3 ok 2.1660000000e+01 1.0939000000e+03 2.6385088358e+20 1.4341583536e+20 2.3671938122e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+10 3 ok 1.8270000000e+01 1.0939000000e+03 2.2255459325e+20 1.2096986666e+20 2.3671824425e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+11 3 ok 1.5410000000e+01 1.0938000000e+03 1.8773206073e+20 1.0204247803e+20 2.3671720359e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+12 3 ok 1.3000000000e+01 1.0938000000e+03 1.5837163152e+20 8.6083855577e+19 2.3671623872e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+13 3 ok 1.0970000000e+01 1.0937000000e+03 1.3365300209e+20 7.2648172252e+19 2.3671533681e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+14 3 ok 9.2560000000e+00 1.0937000000e+03 1.1277006510e+20 6.1297309240e+19 2.3671446176e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+15 3 ok 7.8090000000e+00 1.0937000000e+03 9.5140251399e+19 5.1714637841e+19 2.3671358244e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+16 3 ok 6.5890000000e+00 1.0937000000e+03 8.0276176419e+19 4.3635260435e+19 2.3671265557e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+17 4 ok 5.5590000000e+00 1.0937000000e+03 6.7727017424e+19 3.6814146723e+19 2.3671162253e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+18 4 ok 4.6900000000e+00 1.0937000000e+03 5.7139428859e+19 3.1059245931e+19 2.3671041028e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+19 4 ok 3.9570000000e+00 1.0936000000e+03 4.8213216289e+19 2.6207393261e+19 2.3670893372e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+20 4 ok 3.3380000000e+00 1.0935000000e+03 4.0674541969e+19 2.2109749489e+19 2.3670706461e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+21 4 ok 2.8160000000e+00 1.0932000000e+03 3.4322885875e+19 1.8657321891e+19 2.3670468972e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+22 4 ok 2.3760000000e+00 1.0925000000e+03 2.8978125461e+19 1.5752201827e+19 2.3670170786e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+23 5 ok 2.0050000000e+00 1.0907000000e+03 2.4493335609e+19 1.3314514678e+19 2.3669820428e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+24 5 ok 1.6910000000e+00 1.0874000000e+03 2.0719824920e+19 1.1263427187e+19 2.3669435258e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+25 5 ok 1.4270000000e+00 1.0824000000e+03 1.7565513738e+19 9.5488806780e+18 2.3669046332e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+26 5 ok 1.2040000000e+00 1.0755000000e+03 1.4915375427e+19 8.1083474278e+18 2.3668689341e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+27 6 ok 1.0160000000e+00 1.0661000000e+03 1.2697234506e+19 6.9025894215e+18 2.3668431048e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+28 6 ok 8.5680000000e-01 1.0525000000e+03 1.0846013509e+19 5.8962193305e+18 2.3668398983e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+29 6 ok 7.2290000000e-01 1.0357000000e+03 9.2995108704e+18 5.0554582183e+18 2.3668566302e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+30 5 ok 6.0990000000e-01 1.0154000000e+03 8.0028384649e+18 4.3504857577e+18 2.3668932418e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+31 5 ok 5.1450000000e-01 9.9180000000e+02 6.9118298183e+18 3.7573145309e+18 2.3669433021e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+32 4 ok 4.3410000000e-01 9.6270000000e+02 6.0081654902e+18 3.2659918072e+18 2.3670049507e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+33 4 ok 3.6620000000e-01 9.3180000000e+02 5.2365777573e+18 2.8465047365e+18 2.3670531870e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+34 4 ok 3.0900000000e-01 9.0070000000e+02 4.5712600538e+18 2.4848180526e+18 2.3670841944e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+35 3 ok 2.6070000000e-01 8.7050000000e+02 3.9905530046e+18 2.1691447431e+18 2.3671017279e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+36 3 ok 2.1990000000e-01 8.4190000000e+02 3.4803846833e+18 1.8918251591e+18 2.3671109967e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+37 3 ok 1.8550000000e-01 8.1530000000e+02 3.0317255784e+18 1.6479451347e+18 2.3671158327e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+38 3 ok 1.5650000000e-01 7.9110000000e+02 2.6360087321e+18 1.4328450719e+18 2.3671183997e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+39 3 ok 1.3210000000e-01 7.6950000000e+02 2.2874854559e+18 1.2433988758e+18 2.3671198211e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+40 3 ok 1.1140000000e-01 7.5030000000e+02 1.9784019976e+18 1.0753913066e+18 2.3671206358e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+41 3 ok 9.4010000000e-02 7.3340000000e+02 1.7080379976e+18 9.2843055326e+17 2.3671210903e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+42 3 ok 7.9310000000e-02 7.1800000000e+02 1.4718648527e+18 8.0005488738e+17 2.3671213530e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+43 3 ok 6.6910000000e-02 7.0410000000e+02 1.2662548854e+18 6.8829238149e+17 2.3671214583e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+44 3 ok 5.6450000000e-02 6.9160000000e+02 1.0876105328e+18 5.9118749427e+17 2.3671214297e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+45 3 ok 4.7630000000e-02 6.8050000000e+02 9.3264607368e+17 5.0695420406e+17 2.3671212724e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+46 3 ok 4.0180000000e-02 6.7030000000e+02 7.9873935835e+17 4.3416717922e+17 2.3671210423e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+47 3 ok 3.3900000000e-02 6.6130000000e+02 6.8307043269e+17 3.7129359068e+17 2.3671207118e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+48 3 ok 2.8600000000e-02 6.5340000000e+02 5.8324515276e+17 3.1703205801e+17 2.3671202961e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+49 3 ok 2.4130000000e-02 6.4670000000e+02 4.9718567149e+17 2.7025313334e+17 2.3671197946e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+50 3 ok 2.0360000000e-02 6.4080000000e+02 4.2336925404e+17 2.3012910451e+17 2.3671192589e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+51 3 ok 1.7180000000e-02 6.3540000000e+02 3.6027978573e+17 1.9583586290e+17 2.3671187243e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+52 3 ok 1.4490000000e-02 6.3080000000e+02 3.0608394167e+17 1.6637688072e+17 2.3671181676e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+53 3 ok 1.2220000000e-02 6.2690000000e+02 2.5973870935e+17 1.4118521288e+17 2.3671176087e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+54 3 ok 1.0310000000e-02 6.2380000000e+02 2.2023023118e+17 1.1970976322e+17 2.3671170512e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+55 3 ok 8.7020000000e-03 6.2080000000e+02 1.8678023520e+17 1.0152748956e+17 2.3671165466e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+56 3 ok 7.3410000000e-03 6.1800000000e+02 1.5828151947e+17 8.6036557674e+16 2.3671160808e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+57 3 ok 6.1940000000e-03 6.1560000000e+02 1.3407134657e+17 7.2876728208e+16 2.3671156430e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+58 3 ok 5.2250000000e-03 6.1350000000e+02 1.1348410436e+17 6.1686198160e+16 2.3671152357e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+59 3 ok 4.4090000000e-03 6.1170000000e+02 9.6042809448e+16 5.2205696622e+16 2.3671148570e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+60 3 ok 3.7190000000e-03 6.1010000000e+02 8.1224739276e+16 4.4151090043e+16 2.3671145047e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+61 3 ok 3.1380000000e-03 6.0860000000e+02 6.8704329243e+16 3.7345413132e+16 2.3671141784e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+62 3 ok 2.6470000000e-03 6.0750000000e+02 5.8059155229e+16 3.1559051054e+16 2.3671138552e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+63 3 ok 2.2340000000e-03 6.0660000000e+02 4.9073129800e+16 2.6674546201e+16 2.3671135345e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+64 3 ok 1.8840000000e-03 6.0560000000e+02 4.1453191058e+16 2.2532600091e+16 2.3671132156e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+65 3 ok 1.5900000000e-03 6.0470000000e+02 3.5036444678e+16 1.9044669163e+16 2.3671128771e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+66 3 ok 1.3410000000e-03 6.0390000000e+02 2.9588745489e+16 1.6083480068e+16 2.3671124955e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+67 3 ok 1.1320000000e-03 6.0330000000e+02 2.5002061638e+16 1.3590310476e+16 2.3671120376e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+68 3 ok 9.5470000000e-04 6.0260000000e+02 2.1110592137e+16 1.1475036409e+16 2.3671114922e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+69 3 ok 8.0550000000e-04 6.0180000000e+02 1.7835112800e+16 9.6945942750e+15 2.3671108337e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+70 3 ok 6.7950000000e-04 6.0090000000e+02 1.5067791697e+16 8.1903702364e+15 2.3671100248e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+71 3 ok 5.7330000000e-04 6.0010000000e+02 1.2729767502e+16 6.9194980607e+15 2.3671089677e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+72 3 ok 4.8370000000e-04 5.9920000000e+02 1.0756381463e+16 5.8468312518e+15 2.3671076390e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+73 3 ok 4.0810000000e-04 5.9830000000e+02 9.0888553065e+15 4.9404199738e+15 2.3671059207e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+74 3 ok 3.4430000000e-04 5.9730000000e+02 7.6807867647e+15 4.1750413862e+15 2.3671037558e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+75 3 ok 2.9050000000e-04 5.9630000000e+02 6.4914544643e+15 3.5285607938e+15 2.3671009615e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+76 3 ok 2.4510000000e-04 5.9520000000e+02 5.4870691586e+15 2.9826113464e+15 2.3670974617e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+77 4 ok 2.0670000000e-04 5.9390000000e+02 4.6375266960e+15 2.5208292432e+15 2.3670932393e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+78 4 ok 1.7440000000e-04 5.9250000000e+02 3.9220800756e+15 2.1319371766e+15 2.3670881106e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+79 4 ok 1.4720000000e-04 5.9100000000e+02 3.3187728445e+15 1.8040003026e+15 2.3670819429e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+80 4 ok 1.2420000000e-04 5.8950000000e+02 2.8073307322e+15 1.5259983476e+15 2.3670742841e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+81 4 ok 1.0470000000e-04 5.8780000000e+02 2.3734018137e+15 1.2901297109e+15 2.3670654348e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+82 4 ok 8.8370000000e-05 5.8610000000e+02 2.0090250720e+15 1.0920673187e+15 2.3670548232e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+83 4 ok 7.4560000000e-05 5.8440000000e+02 1.6999868274e+15 9.2408510279e+14 2.3670419662e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+84 4 ok 6.2900000000e-05 5.8270000000e+02 1.4383105016e+15 7.8184723441e+14 2.3670264872e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+85 5 ok 5.3070000000e-05 5.8110000000e+02 1.2168630558e+15 6.6147660560e+14 2.3670072469e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+86 5 ok 4.4770000000e-05 5.7940000000e+02 1.0295513937e+15 5.5966078908e+14 2.3669850833e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+87 5 ok 3.7770000000e-05 5.7780000000e+02 8.7097137365e+14 4.7346264969e+14 2.3669578680e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+88 5 ok 3.1870000000e-05 5.7620000000e+02 7.3694888915e+14 4.0061304456e+14 2.3669258480e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+89 6 ok 2.6890000000e-05 5.7450000000e+02 6.2362388119e+14 3.3901354166e+14 2.3668899326e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+90 6 ok 2.2680000000e-05 5.7260000000e+02 5.2772381853e+14 2.8688509384e+14 2.3668518992e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+91 6 ok 1.9140000000e-05 5.7060000000e+02 4.4690756293e+14 2.4295533667e+14 2.3668112912e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+92 6 ok 1.6150000000e-05 5.6850000000e+02 3.7847893925e+14 2.0575876028e+14 2.3667683639e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+93 7 ok 1.3620000000e-05 5.6620000000e+02 3.2047864747e+14 1.7423023383e+14 2.3667258257e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+94 7 ok 1.1490000000e-05 5.6360000000e+02 2.7160261425e+14 1.4766083542e+14 2.3666879220e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+95 7 ok 9.6960000000e-06 5.6090000000e+02 2.3029542537e+14 1.2520551063e+14 2.3666510945e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+96 8 ok 8.1800000000e-06 5.5800000000e+02 1.9529505830e+14 1.0617820563e+14 2.3666184374e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+97 8 ok 6.9010000000e-06 5.5500000000e+02 1.6564778702e+14 9.0060700625e+13 2.3665881659e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+98 8 ok 5.8220000000e-06 5.5210000000e+02 1.4048013637e+14 7.6378430692e+13 2.3665547770e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+99 8 ok 4.9120000000e-06 5.4890000000e+02 1.1921232790e+14 6.4815877389e+13 2.3665306685e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+100 8 ok 4.1440000000e-06 5.4590000000e+02 1.0112468592e+14 5.4982303321e+13 2.3665006604e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+101 9 ok 3.4960000000e-06 5.4300000000e+02 8.5766178318e+13 4.6632411138e+13 2.3664675685e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+102 9 ok 2.9500000000e-06 5.4040000000e+02 7.2718218921e+13 3.9538751584e+13 2.3664244810e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+103 9 ok 2.4890000000e-06 5.3780000000e+02 6.1649943529e+13 3.3521263172e+13 2.3663810291e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+104 10 ok 2.1000000000e-06 5.3540000000e+02 5.2246855833e+13 2.8409082294e+13 2.3663300969e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+105 10 ok 1.7710000000e-06 5.3310000000e+02 4.4250577039e+13 2.4061691572e+13 2.3662746781e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+106 11 ok 1.4950000000e-06 5.3100000000e+02 3.7501120119e+13 2.0392146782e+13 2.3662120429e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+107 11 ok 1.2610000000e-06 5.2910000000e+02 3.1744009675e+13 1.7262098959e+13 2.3661406037e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+108 12 ok 1.0640000000e-06 5.2720000000e+02 2.6880518203e+13 1.4617816416e+13 2.3660695488e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+109 12 ok 8.9750000000e-07 5.2560000000e+02 2.2742347335e+13 1.2367883270e+13 2.3659866247e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+110 13 ok 7.5720000000e-07 5.2400000000e+02 1.9245115208e+13 1.0466358232e+13 2.3659049236e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+111 13 ok 6.3880000000e-07 5.2260000000e+02 1.6278731956e+13 8.8534345082e+12 2.3658170610e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+112 14 ok 5.3890000000e-07 5.2120000000e+02 1.3769342720e+13 7.4889348679e+12 2.3657319187e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+113 14 ok 4.5470000000e-07 5.1990000000e+02 1.1646592619e+13 6.3346323410e+12 2.3656464829e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+114 14 ok 3.8360000000e-07 5.1880000000e+02 9.8459161689e+12 5.3554369171e+12 2.3655579971e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+115 14 ok 3.2360000000e-07 5.1770000000e+02 8.3232431122e+12 4.5273766319e+12 2.3654748202e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+116 14 ok 2.7300000000e-07 5.1670000000e+02 7.0351221508e+12 3.8268413893e+12 2.3653943416e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+117 14 ok 2.3040000000e-07 5.1580000000e+02 5.9475010343e+12 3.2353212771e+12 2.3653177171e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+118 13 ok 1.9440000000e-07 5.1500000000e+02 5.0258457309e+12 2.7340427972e+12 2.3652454375e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+119 13 ok 1.6400000000e-07 5.1420000000e+02 4.2463913085e+12 2.3100854923e+12 2.3651807146e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+120 12 ok 1.3830000000e-07 5.1360000000e+02 3.5850409084e+12 1.9503539849e+12 2.3651192647e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+121 11 ok 1.1670000000e-07 5.1290000000e+02 3.0291842822e+12 1.6479894758e+12 2.3650679897e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+122 10 ok 9.8470000000e-08 5.1240000000e+02 2.5584310446e+12 1.3919098039e+12 2.3650209634e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+123 10 ok 8.3070000000e-08 5.1190000000e+02 2.1603828754e+12 1.1753720466e+12 2.3649814540e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+124 9 ok 7.0090000000e-08 5.1150000000e+02 1.8242144598e+12 9.9249127800e+11 2.3649478318e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+125 9 ok 5.9130000000e-08 5.1100000000e+02 1.5404499801e+12 8.3811430985e+11 2.3649214240e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+126 8 ok 4.9890000000e-08 5.1070000000e+02 1.3004813757e+12 7.0756105860e+11 2.3648989310e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+127 8 ok 4.2090000000e-08 5.1040000000e+02 1.0977956939e+12 5.9728902800e+11 2.3648813521e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+128 7 ok 3.5510000000e-08 5.1010000000e+02 9.2671485027e+11 5.0421019844e+11 2.3648677954e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+129 7 ok 2.9960000000e-08 5.0980000000e+02 7.8233156461e+11 4.2565550534e+11 2.3648574579e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+130 7 ok 2.5270000000e-08 5.0960000000e+02 6.6012049925e+11 3.5916342101e+11 2.3648494088e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+131 7 ok 2.1320000000e-08 5.0930000000e+02 5.5726254395e+11 3.0320042179e+11 2.3648435944e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+132 7 ok 1.7990000000e-08 5.0920000000e+02 4.7031437916e+11 2.5589337678e+11 2.3648390175e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+133 6 ok 1.5180000000e-08 5.0900000000e+02 3.9700765497e+11 2.1600821404e+11 2.3648357683e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+134 6 ok 1.2810000000e-08 5.0880000000e+02 3.3515560039e+11 1.8235526381e+11 2.3648333837e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+135 6 ok 1.0800000000e-08 5.0870000000e+02 2.8262211424e+11 1.5377236535e+11 2.3648315834e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+136 6 ok 9.1140000000e-09 5.0870000000e+02 2.3850152816e+11 1.2976679054e+11 2.3648302566e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+137 6 ok 7.6900000000e-09 5.0870000000e+02 2.0123721914e+11 1.0949161940e+11 2.3648293072e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+138 6 ok 6.4880000000e-09 5.0870000000e+02 1.6978240617e+11 9.2377324665e+10 2.3648286291e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+139 6 ok 5.4730000000e-09 5.0870000000e+02 1.4322116503e+11 7.7925569959e+10 2.3648281449e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+140 6 ok 4.6180000000e-09 5.0870000000e+02 1.2084692925e+11 6.5751924369e+10 2.3648278004e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+141 6 ok 3.8960000000e-09 5.0870000000e+02 1.0195313716e+11 5.5471956981e+10 2.3648275546e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+142 6 ok 3.2870000000e-09 5.0870000000e+02 8.6016410949e+10 4.6800904157e+10 2.3648273796e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+143 6 ok 2.7730000000e-09 5.0870000000e+02 7.2565711891e+10 3.9482478621e+10 2.3648272549e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+144 6 ok 2.3400000000e-09 5.0870000000e+02 6.1234677049e+10 3.3317345826e+10 2.3648271662e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+145 6 ok 1.9740000000e-09 5.0870000000e+02 5.1656944129e+10 2.8106171222e+10 2.3648271030e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+146 6 ok 1.6650000000e-09 5.0870000000e+02 4.3570825905e+10 2.3706572991e+10 2.3648270579e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+147 6 ok 1.4050000000e-09 5.0870000000e+02 3.6766972714e+10 2.0004645677e+10 2.3648270259e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+148 6 ok 1.1850000000e-09 5.0870000000e+02 3.1009866367e+10 1.6872245642e+10 2.3648270031e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
+149 6 ok 1.0000000000e-09 5.0870000000e+02 2.6168663421e+10 1.4238181977e+10 2.3648269869e+00 ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok ok
diff --git a/gCMCRT.py b/gCMCRT.py
new file mode 100644
index 0000000..5487b39
--- /dev/null
+++ b/gCMCRT.py
@@ -0,0 +1,416 @@
+'''
+1D plane-parallel Monte Carlo radiative-transfer for VULCAN (Elspeth K.H. Lee May 2024)
+
+See:
+
+https://ui.adsabs.harvard.edu/abs/2024RNAAS...8...96L/abstract
+
+for details
+
+Uses a 1D Lucy path length method to calculate the mean intensity, which can then be used to calculate dissociation rates
+Useful for when high accuracy is required.
+We use JIT to accelerate the calculations - this can make the first iteration slow, but later iterations fast.
+
+NOTE: Modifications will be required when non-isotropic scattering is required e.g. aerosol opacity + asymmetry factor etc
+Default is Rayleigh scattering
+'''
+
+from random import seed, random
+import numpy as np
+from numba import jit, config, int32, float64, prange
+from numba.experimental import jitclass
+
+## Flag to disable JIT
+config.DISABLE_JIT = False
+
+## Definitions of packet properties required by numba
+pac_def = [
+ ('flag', int32),
+ ('id', int32),
+ ('cost', float64),
+ ('nzp', float64),
+ ('zc', int32),
+ ('zp', float64),
+ ('tau_p', float64),
+ ('tau', float64),
+ ('iscat',int32),
+]
+
+## Class that defines packet properties
+@jitclass(pac_def)
+class pac:
+ def __init__(self, flag, id_ph, cost, nzp, zc, zp, tau_p, tau, iscat):
+ self.flag = flag
+ self.id = id_ph
+ self.cost = cost
+ self.nzp = nzp
+ self.zc = zc
+ self.zp = zp
+ self.tau_p = tau_p
+ self.tau = tau
+ self.iscat = iscat
+
+## Function that integrates a packet through the 1D plane-parallel grid
+@jit(nopython=True, cache=True)
+def tauint_1D_pp(ph, nlay, z, sig_ext, l, Jdot):
+
+ # Initial tau is at zero
+ ph.tau = 0.0
+
+ # Do loop until tau is equal or more than sampled tau
+ while (ph.tau < ph.tau_p):
+
+ # Calculate dsz, the distance to the next vertical level
+ if (ph.nzp > 0.0):
+ # Packet traveling upward, find distance to upper level
+ dsz = (z[ph.zc+1]-ph.zp)/ph.nzp
+ zoffset = 1
+ elif (ph.nzp < 0.0):
+ # Packet traveling downward, find distance to lower level
+ dsz = (z[ph.zc]-ph.zp)/ph.nzp
+ zoffset = -1
+ else:
+ # Packet traveling directly in z plane
+ # Return, packet does not move in z direction
+ break
+
+ # Calculate optical depth to level edge
+ taucell = dsz * sig_ext[ph.zc,l]
+
+ # Check if packet ends path in this layer
+ if ((ph.tau + taucell) >= ph.tau_p):
+
+ # Packet stops in this cell - move distance then exit loop
+ d1 = (ph.tau_p-ph.tau)/sig_ext[ph.zc,l]
+ ph.zp += d1 * ph.nzp
+
+ # Update estimator
+ Jdot[ph.zc,l] += d1 # Mean intensity estimator
+
+ # tau of packet is now the sampled tau
+ ph.tau = ph.tau_p
+
+ else:
+
+ #Packet continues to level edge - update position, cell index and tau
+ ph.zp += (dsz + 1.0e-12) * ph.nzp
+
+ # Update estimator
+ Jdot[ph.zc,l] += dsz # Mean intensity estimator
+
+ # Apply integer offset to cell number
+ ph.zc += zoffset
+
+ # Add tau of cell to tau counter of packet
+ ph.tau += taucell
+
+ # Check is packet has exited the domain
+ if ((ph.zc > nlay-1) or (ph.zp >= z[-1])):
+ # Packet has exited the domain at the top of atmosphere
+ ph.flag = 1
+ break
+ elif((ph.zc < 0) or (ph.zp <= z[0])):
+ # Packet has hit the lower part od the domain (surface)
+ ph.flag = -2
+ break
+
+ return
+
+## Function for incident stellar radiation properties
+@jit(nopython=True, cache=True)
+def inc_stellar(ph, nlay, z, mu_z):
+
+ ph.cost = -mu_z # Initial direction is zenith angle
+ ph.nzp = ph.cost # give nzp cost
+ ph.zc = nlay-1 # Initial layer number is top of atmosphere
+ ph.zp = z[-1] - 1.0e-12 # Initial position is topic atmosphere minus a little bit
+
+ return
+
+## Function to scatter a packet into a new direction
+@jit(nopython=True, cache=True)
+def scatter(ph, g):
+
+ # Find the type of scattering the packet undergoes
+ # (1 = isotropic, 2 = Rayleigh, 3 = Henyey-Greenstein
+ # 4 = Two-Term Henyey-Greenstein, 5 = Draine 2003)
+ match ph.iscat:
+
+ case 1:
+ # Isotropic scattering
+ ph.cost = 2.0 * random() - 1.0
+ ph.nzp = ph.cost
+ return
+
+ case 2:
+ # Rayleigh scattering via direct spherical coordinate sampling
+ # Assumes non-polarised incident packet
+ q = 4.0*random() - 2.0
+ u = np.cbrt(-q + np.sqrt(1.0 + q**2))
+ bmu = u - 1.0/u
+
+ case 3:
+ # Sample from single HG function
+ if (abs(g) > 1e-4):
+ # Avoid division by zero - is isotropic as g -> 0 anyway.
+ g2 = g**2
+
+ bmu = ((1.0 + g2) - \
+ ((1.0 - g2) / (1.0 - g + 2.0 * g * random()))**2) \
+ / (2.0*g)
+ else:
+ # g ~ 0, Isotropic scattering
+ ph.cost = 2.0 * random() - 1.0
+ ph.nzp = ph.cost
+ return
+ case 4:
+ # Sample from two-term HG function following Cahoy et al. (2010)
+ # Check if near isotropic and sample isotropic
+ if (abs(g) < 1e-4):
+ # g ~ 0, Isotropic scattering
+ ph.cost = 2.0 * random() - 1.0
+ ph.nzp = ph.cost
+ return
+
+ gb = -g/2.0
+ alph = 1.0 - gb**2
+
+ zeta1 = random()
+ if (zeta1 < alph):
+ # sample forward direction
+ g2 = g**2
+ bmu = ((1.0 + g2) - \
+ ((1.0 - g2) / (1.0 - g + 2.0 * g * random()))**2) \
+ / (2.0*g)
+ else:
+ # sample backward direction
+ gb2 = gb**2
+ bmu = ((1.0 + gb2) - \
+ ((1.0 - gb2) / (1.0 - gb + 2.0 * gb * random()))**2) \
+ / (2.0*gb)
+ case 5:
+ # Sample from Draine (2003) phase function (= Cornette and Shanks (1992) when alpha = 1)
+ # Use the analytical approach of Jendersie & d’Eon (2023)
+
+ # First calculate big G from small g
+ alpha = 1.0
+ a1 = 1.0/2.0 + 5.0/(6.0*alpha) - (25.0/81.0) * g**2
+ b1 = (125.0/729.0)*g**3 + 5.0/(9.0*alpha) * g
+ G1 = np.cbrt(np.sqrt(a1**3 + b1**2) + b1) - np.cbrt(np.sqrt(a1**3 + b1**2) - b1) + (5.0/9.0) * g
+ G2 = G1**2
+ G4 = G1**4
+
+ # Sample Draine (2003) function analytically (Jendersie & d’Eon 2023)
+ zeta1 = random()
+ t0 = alpha - alpha*G2
+ t1 = alpha*G4 - alpha
+ t2 = -3.0*(4.0*(G4 - G2) + t1*(1.0 + G2))
+ t3 = G1*(2.0*zeta1 - 1.0)
+ t4 = 3.0*G2*(1.0+t3) + alpha*(2.0+G2*(1.0+(1.0+2.0*G2)*t3))
+ t5 = t0*(t1*t2+t4**2)+t1**3
+ t6 = t0*4.0*(G4 - G2)
+ t7 = np.cbrt(t5 + np.sqrt(t5**2 - t6**3))
+ t8 = 2.0*(t1+t6/t7+t7)/t0
+ t9 = np.sqrt(6.0*(1.0+G2) + t8)
+ bmu = G1/2.0 + (1.0/(2.0*G1) - 1.0/(8.0*G1)*(np.sqrt(6.0*(1.0+G2) - t8 + 8.0*t4/(t0*t9)) - t9)**2)
+
+ case _ :
+ # Invalid iscat value
+ print('Invalid iscat chosen: ' + str(ph.iscat) + ' doing isotropic')
+ ph.cost = 2.0 * random() - 1.0
+ ph.nzp = ph.cost
+ return
+
+ # Now apply rotation if non-isotropic scattering
+ # Change direction of packet given by sampled direction
+
+ # Calculate change in direction in grid reference frame
+ if (bmu >= 1.0):
+ # Packet directly forward scatters - no change in direction
+ ph.cost = ph.cost
+ elif (bmu <= -1.0):
+ # Packet directly backward scatters - negative sign for cost
+ ph.cost = -ph.cost
+ else:
+ # Packet scatters according to sampled cosine and current direction
+ # Save current cosine direction of packet and calculate sine
+ costp = ph.cost
+ sintp = 1.0 - costp**2
+ if (sintp <= 0.0):
+ sintp = 0.0
+ else:
+ sintp = np.sqrt(sintp)
+
+ # Randomly decide if scattered in +/- quadrant direction and find new cosine direction
+ sinbt = np.sqrt(1.0 - bmu**2)
+ ri1 = 2.0 * np.pi * random()
+ if (ri1 > np.pi):
+ cosi3 = np.cos(2.0*np.pi - ri1)
+ # Calculate new cosine direction
+ ph.cost = costp * bmu + sintp * sinbt * cosi3
+ else: #(ri1 <= pi)
+ cosi1 = np.cos(ri1)
+ ph.cost = costp * bmu + sintp * sinbt * cosi1
+
+ #Give nzp the cost value
+ ph.nzp = ph.cost
+
+ return
+
+## Function to scatter from a surface (Assumed Lambertian)
+@jit(nopython=True, cache=True)
+def scatter_surf(ph, z):
+
+ ph.cost = np.sqrt(random()) # Sample cosine from Lambertian cosine law
+ ph.nzp = ph.cost # Give nzp cost value
+ ph.zc = 0 # Initial layer is lowest (0)
+ ph.zp = z[0] + 1.0e-12 # Initial position is lowest altitude plus a little bit
+
+ return
+
+## Main gCMCRT function for wavelength and packet loop
+@jit(nopython=True, cache=True, parallel=True)
+def gCMCRT_main(nit, Nph, nlay, nwl, all_sp, ph_sp, ray_sp, nd_sp, \
+ cross_sp, cross_sca_sp, nd_aer, cross_aer, cross_sca_aer, g_aer, Iinc, mu_z, dze):
+
+ # Number of levels
+ nlev = nlay + 1
+
+ # Initialise Jdot - mean intensity estimator
+ Jdot = np.zeros((nlay, nwl))
+
+ # Initialise packet energy array
+ e0dt = np.zeros(nwl)
+
+ # Initialise surface albedo
+ surf_alb = np.zeros(nwl)
+
+ # Initialise asymmetry factor - need to alter this if non-isotropic
+ g = np.zeros((nlay, nwl))
+
+ # Initialise single scattering albedo
+ alb = np.zeros((nlay, nwl))
+
+ # Initialise gas phase scattering probability
+ P_gas = np.zeros((nlay, nwl))
+
+ # Initialise extinction and scattering opacity arrays
+ sig_ext_tot = np.zeros((nlay, nwl))
+ sig_abs_tot = np.zeros((nlay, nwl))
+ sig_sca_tot = np.zeros((nlay, nwl))
+
+ sig_abs_gas = np.zeros((nlay, nwl))
+ sig_sca_gas = np.zeros((nlay, nwl))
+
+ sig_abs_aer = np.zeros((nlay, nwl))
+ sig_sca_aer = np.zeros((nlay, nwl))
+
+ # Reconstruct altitude grid from dze
+ z = np.zeros(nlev)
+ for i in range(nlay):
+ z[i+1] = z[i] + dze[i]
+
+ # Set number of cross section species and rayleigh
+ n_cross = len(ph_sp)
+ n_ray = len(ray_sp)
+
+ # Regular python loop
+ #for l in range(nwl):
+ # Parallel loop
+ for l in prange(nwl):
+
+ # Find the total absorption opacity from photocross sections
+ for i in range(n_cross):
+ sig_abs_gas[:,l] += nd_sp[:,all_sp.index(ph_sp[i])] * cross_sp[i,l] # Absorption opacity [cm-1]
+
+ # Find the total rayleigh opacity from Rayleigh species cross sections
+ for i in range(n_ray):
+ sig_sca_gas[:,l] += nd_sp[:,all_sp.index(ray_sp[i])] * cross_sca_sp[i,l] # Scattering opacity [cm-1]
+
+ # Find absorption opacity of aerosol
+ sig_abs_aer[:,l] = nd_aer[:] * cross_aer[:,l]
+
+ # Find scattering opacity of aerosol
+ sig_sca_aer[:,l] = nd_aer[:] * cross_sca_aer[:,l]
+
+ # Total absorption and scattering is gas + aerosol
+ sig_abs_tot[:,l] = sig_abs_gas[:,l] + sig_abs_aer[:,l]
+ sig_sca_tot[:,l] = sig_sca_gas[:,l] + sig_sca_aer[:,l]
+
+ # Total extinction = absorption + scattering
+ sig_ext_tot[:,l] = sig_abs_tot[:,l] + sig_sca_tot[:,l]
+
+ # Find total scattering albedo - MCRT only works well up to around 0.98 ssa, so limit to that
+ alb[:,l] = np.minimum(sig_sca_tot[:,l]/sig_ext_tot[:,l],0.95)
+
+ # Asymmetry factor for this wavelength
+ g[:,l] = g_aer[:,l]
+
+ # Probability of gas phase scattering
+ P_gas[:,l] = sig_sca_gas[:,l]/sig_sca_tot[:,l]
+
+ # Energy carried by each packet for this wavelength
+ e0dt[l] = (mu_z * Iinc[l])/float(Nph)
+
+ # Initialise random seed for this wavelength
+ iseed = int(l + l**2 + l/2)
+ seed(iseed)
+
+ # Packet number loop
+ for n in range(Nph):
+
+ # Initialise packet variables (janky python way)
+ flag = 0
+ id_ph = l*Nph + n
+
+ # Initialise photon packet with initial values
+ ph = pac(flag, id_ph, 0.0, 0.0, 0, 0.0, 0.0, 0.0, 2)
+
+ # Place photon at top of atmosphere with negative zenith angle
+ inc_stellar(ph, nlay, z, mu_z)
+
+ # Scattering loop
+ while(ph.flag == 0):
+
+ # Sample a random optical depth of the photon
+ ph.tau_p = -np.log(random())
+
+ # Move the photon through the grid given by the sampled tau
+ tauint_1D_pp(ph, nlay, z, sig_ext_tot, l, Jdot)
+
+ # Check status of the photon after moving
+ match ph.flag:
+ case 1:
+ # Photon exited top of atmosphere, exit loop
+ break
+ case -2:
+ # Photon hit surface surface, test surface albedo
+ if (random() < surf_alb[l]):
+ # Packet scattered off surface (Lambertian assumed)
+ scatter_surf(ph, z)
+ else:
+ # Packet was absorbed by the surface
+ break
+ case 0:
+ # Photon still in grid, test atmospheric albedo
+ if (random() < alb[ph.zc,l]):
+
+ # Check if gas or aerosol scattering and allocate iscat
+ if (random() < P_gas[ph.zc,l]):
+ ph.iscat = 2
+ else:
+ ph.iscat = 5
+
+ # Packet get scattered into new direction
+ scatter(ph, g[ph.zc,l])
+ else:
+ # Packet was absorbed, exit loop
+ break
+ case _:
+ # Photon has an invalid flag, raise error
+ print(str(ph.id) + ' has invalid flag: ' + str(ph.flag))
+
+ ## Scale estimators to dze
+ Jdot[:,l] = (e0dt[l]*Jdot[:,l])/dze[:]
+
+ return Jdot
diff --git a/make_chem_funs.py b/make_chem_funs.py
index f18f46c..118f071 100755
--- a/make_chem_funs.py
+++ b/make_chem_funs.py
@@ -722,15 +722,16 @@ def check_conserv():
compo = np.genfromtxt(vulcan_cfg.com_file,names=True,dtype=None)
compo_row = list(compo['species'])
# Convert bytes to strings
- compo_row = [sp.decode("utf-8") for sp in compo_row]
- #print (compo_row)
+ compo_row = [str(sp,'utf-8') for sp in compo_row]
+ #print(compo_row)
num_atoms = len(compo.dtype.names) - 2 # dtype.names returns the column names and -2 is for 'species' and 'mass'
+ #print(num_atoms)
for re in range(1,nr+1,2):
reac_atoms, prod_atoms = np.zeros(num_atoms), np.zeros(num_atoms)
- for sp in re_dict[re][0]:
+ for sp in re_dict[re][0]:
# 1:7 for all the atoms (H O C He N S)
reac_atoms += np.array(list(compo[compo_row.index(sp)])[1:num_atoms+1])
@@ -740,7 +741,6 @@ def check_conserv():
if not np.all(reac_atoms == prod_atoms):
print ('Re ' + str(re) + ' not conserving element!')
conserv_check = False
-
if conserv_check == True:
print ('Elements conserved in the network.')
else:
@@ -811,4 +811,4 @@ def check_duplicate(nr, photo_re_indx):
check_conserv()
check_duplicate(nr, photo_re_indx)
-
\ No newline at end of file
+
diff --git a/mie.py b/mie.py
new file mode 100644
index 0000000..6288499
--- /dev/null
+++ b/mie.py
@@ -0,0 +1,96 @@
+'''
+Aerosol opacity module for VULCAN (Elspeth K.H. Lee October 2024)
+
+See:
+
+YY
+
+for details
+
+Uses the miepython package as the Mie theory calculator.
+Follows similar layout to gCMCRT method to calculate the aerosol opacity.
+
+'''
+
+import numpy as np
+import matplotlib.pylab as plt
+import miepython.miepython as miepython
+
+import vulcan_cfg
+
+def read_nk(sp,wl_nm):
+
+ # Number of wavelengths
+ nwl = len(wl_nm)
+
+ # Convert to um from nm
+ wl = np.zeros(nwl)
+ wl[:] = wl_nm[:] * 1e-3
+
+ # Read nk file
+ nk_data = np.loadtxt('./nk/'+sp+'.txt',skiprows=5)
+ wl_file = nk_data[:,0]
+ n_file = nk_data[:,1]
+ k_file = nk_data[:,2]
+
+ # Allocate space for n and k
+ n = np.zeros(nwl)
+ k = np.zeros(nwl)
+
+ # Linearly interpolate to VULCAN wavelength grid
+ # assume constant values outside interpolation range
+ n = np.interp(wl,wl_file,n_file)
+ k = np.interp(wl,wl_file,k_file)
+
+ return n, k
+
+def calc_mie(nz,wl_nm,n,k,nd,rm,sig2):
+
+ # Number of wavelengths
+ nwl = len(wl_nm)
+
+ # Convert to cm from nm
+ wl_cm = np.zeros(nwl)
+ wl_cm[:] = wl_nm[:] * 1e-7
+
+ aer_abs = np.zeros((nz,nwl))
+ aer_scat = np.zeros((nz,nwl))
+ aer_g = np.zeros((nz,nwl))
+
+ for i in range(nz):
+
+ if ((rm[i] < 1.0e-4) or (nd[i] < 1e-10)):
+ aer_abs[i,:] = 0.0
+ aer_scat[i,:] = 0.0
+ aer_g[i,:] = 0.0
+ continue
+
+ if (vulcan_cfg.idist == 1):
+ # Single particle size calculation
+
+ r_cm = rm[i] * 1e-4
+ xsec = np.pi * r_cm**2
+
+ x = (2.0*np.pi * r_cm)/wl_cm
+ m = np.empty(nwl,dtype=np.complex128)
+ m.real = n
+ m.imag = -k
+
+ qext, qsca, qback, g = miepython.mie(m,x)
+
+
+ aer_abs[i,:] = (qext[:] - qsca[:]) * xsec
+ aer_scat[i,:] = qsca[:] * xsec
+ aer_g[i,:] = g[:]
+
+ return aer_abs, aer_scat, aer_g
+
+# N=500
+# m=1.5
+# x = np.linspace(0.1,20,N) # also in microns
+
+# qext, qsca, qback, g = miepython_jit.mie(m,x)
+
+# plt.figure(figsize=(8,4.5))
+# plt.plot(x,g)
+# plt.show()
\ No newline at end of file
diff --git a/nk/Al2O3.txt b/nk/Al2O3.txt
new file mode 100644
index 0000000..09aa88f
--- /dev/null
+++ b/nk/Al2O3.txt
@@ -0,0 +1,205 @@
+200 .False. #Number of lines, conducting flag
+#Refractive index of amorphous Al2O3[s]; Begemann et al. (1997) ApJ; Vol 476:1; Koike et al. (1995) Icarus, Vol 114:1; Database of Optical Constants for Cosmic Dust, Laboratory Astrophysics Group of the AIU Jena
+#
+#
+#Wavelength (micron) n k
+2.000000e-01 1.530000e+00 1.630000e-02
+2.080200e-01 1.530870e+00 2.022790e-02
+2.163616e-01 1.532045e+00 2.472661e-02
+2.250377e-01 1.533497e+00 2.972666e-02
+2.340617e-01 1.535199e+00 3.509236e-02
+2.434475e-01 1.537125e+00 4.061451e-02
+2.532098e-01 1.539247e+00 4.601180e-02
+2.633635e-01 1.541539e+00 5.094408e-02
+2.739243e-01 1.543974e+00 5.503918e-02
+2.849087e-01 1.546524e+00 5.793236e-02
+2.963335e-01 1.549161e+00 5.931419e-02
+3.082165e-01 1.552256e+00 5.906114e-02
+3.205759e-01 1.556712e+00 5.754611e-02
+3.334310e-01 1.562020e+00 5.519682e-02
+3.468016e-01 1.567571e+00 5.242486e-02
+3.607083e-01 1.572752e+00 4.959373e-02
+3.751727e-01 1.576938e+00 4.700281e-02
+3.902171e-01 1.579501e+00 4.489207e-02
+4.058648e-01 1.580000e+00 4.340842e-02
+4.221399e-01 1.580000e+00 4.212596e-02
+4.390677e-01 1.580000e+00 4.094309e-02
+4.566743e-01 1.580000e+00 3.989806e-02
+4.749869e-01 1.580000e+00 3.902549e-02
+4.940339e-01 1.580000e+00 3.835800e-02
+5.138446e-01 1.580000e+00 3.789196e-02
+5.344498e-01 1.580000e+00 3.752385e-02
+5.558812e-01 1.580000e+00 3.721844e-02
+5.781720e-01 1.580000e+00 3.694772e-02
+6.013566e-01 1.580006e+00 3.668474e-02
+6.254710e-01 1.581785e+00 3.643981e-02
+6.505524e-01 1.585363e+00 3.621920e-02
+6.766395e-01 1.588756e+00 3.600155e-02
+7.037727e-01 1.590000e+00 3.576642e-02
+7.319939e-01 1.590000e+00 3.552232e-02
+7.613469e-01 1.590000e+00 3.526698e-02
+7.918768e-01 1.590000e+00 3.498136e-02
+8.236311e-01 1.590000e+00 3.465152e-02
+8.566586e-01 1.590000e+00 3.427143e-02
+8.910106e-01 1.590000e+00 3.382598e-02
+9.267401e-01 1.591883e+00 3.327736e-02
+9.639023e-01 1.597191e+00 3.259709e-02
+1.002555e+00 1.600000e+00 3.185075e-02
+1.042757e+00 1.599951e+00 3.106306e-02
+1.084572e+00 1.599817e+00 3.023000e-02
+1.128063e+00 1.599604e+00 2.936356e-02
+1.173298e+00 1.599315e+00 2.847496e-02
+1.220347e+00 1.598953e+00 2.757457e-02
+1.269283e+00 1.598525e+00 2.667182e-02
+1.320181e+00 1.598032e+00 2.577522e-02
+1.373121e+00 1.597480e+00 2.489231e-02
+1.428183e+00 1.596873e+00 2.402970e-02
+1.485453e+00 1.596214e+00 2.319312e-02
+1.545019e+00 1.595509e+00 2.238746e-02
+1.606975e+00 1.594760e+00 2.161687e-02
+1.671414e+00 1.593973e+00 2.088479e-02
+1.738438e+00 1.593151e+00 2.019409e-02
+1.808149e+00 1.592298e+00 1.954711e-02
+1.880656e+00 1.591419e+00 1.894577e-02
+1.956070e+00 1.590518e+00 1.839164e-02
+2.034508e+00 1.589580e+00 1.787671e-02
+2.116092e+00 1.588472e+00 1.733718e-02
+2.200947e+00 1.587165e+00 1.678138e-02
+2.289205e+00 1.585659e+00 1.623212e-02
+2.381002e+00 1.583955e+00 1.570948e-02
+2.476480e+00 1.582055e+00 1.523098e-02
+2.575787e+00 1.579959e+00 1.481198e-02
+2.679076e+00 1.577668e+00 1.446633e-02
+2.786506e+00 1.575184e+00 1.420706e-02
+2.898245e+00 1.572507e+00 1.404722e-02
+3.014465e+00 1.569634e+00 1.400009e-02
+3.135345e+00 1.566164e+00 1.400730e-02
+3.261072e+00 1.561899e+00 1.402594e-02
+3.391841e+00 1.556919e+00 1.405581e-02
+3.527853e+00 1.551302e+00 1.409674e-02
+3.669320e+00 1.545127e+00 1.414858e-02
+3.816459e+00 1.538472e+00 1.421120e-02
+3.969499e+00 1.531414e+00 1.428450e-02
+4.128676e+00 1.523342e+00 1.445992e-02
+4.294236e+00 1.513327e+00 1.489720e-02
+4.466434e+00 1.502106e+00 1.555936e-02
+4.645538e+00 1.490444e+00 1.640460e-02
+4.831824e+00 1.479081e+00 1.738455e-02
+5.025580e+00 1.468733e+00 1.844144e-02
+5.227105e+00 1.459334e+00 1.973793e-02
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diff --git a/nk/C.txt b/nk/C.txt
new file mode 100644
index 0000000..143a3fb
--- /dev/null
+++ b/nk/C.txt
@@ -0,0 +1,387 @@
+381 .True.
+#Refractive index of C[s]; Draine (2003), AJ., 598:1026
+#
+#
+#Wavelength (micron) n k
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+
diff --git a/nk/CH4.txt b/nk/CH4.txt
new file mode 100644
index 0000000..801b117
--- /dev/null
+++ b/nk/CH4.txt
@@ -0,0 +1,46 @@
+41 .False. # Number of lines, conductive flag
+# 5 line header for n-k original data
+# Methane Ice CH4 (90 K) - Martonchik & Orton (1994) - (CH4 ice)
+# Taken from: https://refractiveindex.info/?shelf=organic&book=methane&page=Martonchik-solid-90K
+# wl(um) n k
+ 0.0020 0.971 0.000E+0
+ 0.0114 0.993 2.607E-3
+ 0.0545 0.842 2.332E-1
+ 0.0900 1.228 7.096E-1
+ 0.0987 1.491 5.681E-1
+ 0.1012 1.486 5.203E-1
+ 0.1087 1.554 4.104E-1
+ 0.1162 1.515 3.518E-1
+ 0.1200 1.530 3.632E-1
+ 0.1337 1.767 1.981E-1
+ 0.4000 1.326 0.000E+0
+ 1.000 1.313 0.000E+0
+ 1.138 1.313 1.900E-5
+ 1.165 1.313 4.577E-5
+ 1.336 1.312 5.023E-5
+ 1.371 1.312 1.828E-5
+ 1.385 1.312 9.073E-6
+ 1.402 1.312 3.642E-5
+ 1.412 1.312 2.368E-5
+ 1.669 1.311 4.737E-4
+ 1.724 1.311 2.446E-4
+ 1.785 1.311 8.213E-5
+ 1.796 1.311 1.807E-4
+ 2.317 1.307 3.453E-3
+ 2.324 1.310 6.189E-3
+ 2.329 1.314 3.096E-3
+ 2.377 1.306 5.058E-3
+ 2.379 1.312 9.199E-3
+ 2.381 1.316 5.547E-3
+ 3.315 1.190 1.312E-1
+ 3.322 1.339 2.564E-1
+ 3.330 1.451 1.107E-1
+ 3.534 1.318 2.877E-3
+ 3.546 1.319 4.574E-3
+ 3.565 1.321 2.570E-3
+ 7.675 0.810 4.585E-1
+ 7.692 1.265 9.598E-1
+ 7.710 1.845 5.199E-1
+ 36.36 1.316 7.624E-4
+ 62.50 1.317 2.636E-3
+ 100.00 1.318 2.387E-3
diff --git a/nk/CaTiO3.txt b/nk/CaTiO3.txt
new file mode 100644
index 0000000..a52632a
--- /dev/null
+++ b/nk/CaTiO3.txt
@@ -0,0 +1,2304 @@
+2299 .False.
+#Refractive index of CaTiO3[s]; Posch et al. (2003), Ap&SS, 149:437; Ueda et al 1998 J. Phys.: Condens. Matter 10 3669; Database of Optical Constants for Cosmic Dust, Laboratory Astrophysics Group of the AIU Jena
+#
+#
+#Wavelength (micron) n k
+3.559039e-02 9.302326e-01 3.728149e-01
+3.607319e-02 9.901273e-01 4.305134e-01
+3.656254e-02 1.049379e+00 4.501937e-01
+3.705853e-02 1.074419e+00 4.211515e-01
+3.756125e-02 1.074452e+00 4.046512e-01
+3.807079e-02 1.074419e+00 3.906977e-01
+3.858724e-02 1.074419e+00 3.895270e-01
+3.911069e-02 1.079070e+00 3.828028e-01
+3.964125e-02 1.079070e+00 3.756795e-01
+4.017900e-02 1.093023e+00 3.685768e-01
+4.072405e-02 1.079070e+00 3.645107e-01
+4.127650e-02 1.079070e+00 3.607436e-01
+4.183643e-02 1.079070e+00 3.581395e-01
+4.240397e-02 1.079070e+00 3.581395e-01
+4.297920e-02 1.079070e+00 3.570753e-01
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+4.415318e-02 1.074419e+00 3.581395e-01
+4.475214e-02 1.065116e+00 3.581395e-01
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+4.597455e-02 1.065116e+00 3.701651e-01
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diff --git a/nk/Cr.txt b/nk/Cr.txt
new file mode 100644
index 0000000..342414f
--- /dev/null
+++ b/nk/Cr.txt
@@ -0,0 +1,278 @@
+273 .True.
+#Refractive index of Cr[s]; Lynch&Hunter (1991) in Palik: "Handbook of Optical Constants of Solids"; Rakic et al. (1998) Applied Optics Vol. 37, Issue 22
+#
+#
+#Wavelength (micron) n k
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+4.305000e-02 7.700000e-01 2.200000e-01
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diff --git a/nk/Fe.txt b/nk/Fe.txt
new file mode 100644
index 0000000..d6170cb
--- /dev/null
+++ b/nk/Fe.txt
@@ -0,0 +1,305 @@
+300 .True.
+#Refractive index of Fe[s]; Lynch & Hunter (1991) in Palik: "Handbook of Optical Constants of Solids"
+#
+#
+#Wavelength (micron) n k
+1.240000e-04 9.999849e-01 1.320000e-06
+1.298000e-04 9.999834e-01 1.570000e-06
+1.360000e-04 9.999819e-01 1.860000e-06
+1.424000e-04 9.999803e-01 2.190000e-06
+1.492000e-04 9.999787e-01 2.590000e-06
+1.562000e-04 9.999771e-01 3.040000e-06
+1.636000e-04 9.999755e-01 3.580000e-06
+1.674000e-04 9.999750e-01 3.880000e-06
+1.713000e-04 9.999750e-01 4.200000e-06
+1.753000e-04 9.999753e-01 5.700000e-07
+1.794000e-04 9.999721e-01 6.210000e-07
+1.836000e-04 9.999701e-01 6.770000e-07
+1.879000e-04 9.999682e-01 7.380000e-07
+1.968000e-04 9.999645e-01 8.770000e-07
+2.061000e-04 9.999607e-01 1.040000e-06
+2.159000e-04 9.999565e-01 1.240000e-06
+2.261000e-04 9.999520e-01 1.470000e-06
+2.368000e-04 9.999471e-01 1.750000e-06
+2.480000e-04 9.999416e-01 2.080000e-06
+2.597000e-04 9.999357e-01 2.480000e-06
+2.720000e-04 9.999293e-01 2.940000e-06
+2.848000e-04 9.999222e-01 3.500000e-06
+2.983000e-04 9.999144e-01 4.160000e-06
+3.124000e-04 9.999058e-01 4.950000e-06
+3.272000e-04 9.998960e-01 5.880000e-06
+3.426000e-04 9.998860e-01 6.990000e-06
+3.588000e-04 9.998750e-01 8.300000e-06
+3.758000e-04 9.998620e-01 9.860000e-06
+3.936000e-04 9.998480e-01 1.170000e-05
+4.122000e-04 9.998340e-01 1.390000e-05
+4.317000e-04 9.998170e-01 1.650000e-05
+4.521000e-04 9.997990e-01 1.960000e-05
+4.735000e-04 9.997790e-01 2.320000e-05
+4.959000e-04 9.997570e-01 2.760000e-05
+5.193000e-04 9.997330e-01 3.270000e-05
+5.439000e-04 9.997070e-01 3.870000e-05
+5.696000e-04 9.996790e-01 4.580000e-05
+5.965000e-04 9.996470e-01 5.420000e-05
+6.248000e-04 9.996140e-01 6.410000e-05
+6.543000e-04 9.995760e-01 7.570000e-05
+6.852000e-04 9.995360e-01 8.940000e-05
+7.176000e-04 9.994920e-01 1.060000e-04
+7.516000e-04 9.994450e-01 1.240000e-04
+7.871000e-04 9.993930e-01 1.460000e-04
+8.244000e-04 9.993370e-01 1.720000e-04
+8.633000e-04 9.992780e-01 2.030000e-04
+9.041000e-04 9.992140e-01 2.380000e-04
+9.469000e-04 9.991460e-01 2.790000e-04
+9.917000e-04 9.990750e-01 3.280000e-04
+1.039000e-03 9.990000e-01 3.840000e-04
+1.088000e-03 9.989200e-01 4.490000e-04
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diff --git a/nk/Fe2O3.txt b/nk/Fe2O3.txt
new file mode 100644
index 0000000..8dc3115
--- /dev/null
+++ b/nk/Fe2O3.txt
@@ -0,0 +1,806 @@
+801 .False.
+#Refractive index of Fe2O3[s]; Amaury H.M.J. Triaud, in Database of Optical Constants for Cosmic Dust, Laboratory Astrophysics Group of the AIU Jena
+#
+#
+#Wavelength (micron) n k
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+1.303200e-01 1.486820e+00 1.578800e-01
+1.318300e-01 1.474370e+00 1.670600e-01
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diff --git a/nk/Fe2SiO4.txt b/nk/Fe2SiO4.txt
new file mode 100644
index 0000000..ef0094d
--- /dev/null
+++ b/nk/Fe2SiO4.txt
@@ -0,0 +1,3081 @@
+3076 .False.
+#Refractive index of Fe2SiO4[s]; Fabian et al. (2001), A&A Vol. 378; Database of Optical Constants for Cosmic Dust, Laboratory Astrophysics Group of the AIU Jena
+#
+#
+#Wavelength (micron) n k
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+3.703704e+02 2.950473e+00 2.838604e-03
+3.846154e+02 2.949848e+00 2.729479e-03
+4.000000e+02 2.949247e+00 2.620852e-03
+4.166667e+02 2.948670e+00 2.512626e-03
+4.347826e+02 2.948115e+00 2.404799e-03
+4.545455e+02 2.947585e+00 2.297405e-03
+4.761905e+02 2.947083e+00 2.190410e-03
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+5.263158e+02 2.946149e+00 1.977521e-03
+5.555556e+02 2.945716e+00 1.871525e-03
+5.882353e+02 2.945305e+00 1.765829e-03
+6.250000e+02 2.944921e+00 1.660499e-03
+6.666667e+02 2.944562e+00 1.555436e-03
+7.142857e+02 2.944226e+00 1.450573e-03
+7.692308e+02 2.943912e+00 1.345975e-03
+8.333333e+02 2.943620e+00 1.241578e-03
+9.090909e+02 2.943351e+00 1.137381e-03
+1.000000e+03 2.943110e+00 1.033416e-03
+1.111111e+03 2.942891e+00 9.296188e-04
+1.250000e+03 2.942695e+00 8.259544e-04
+1.428571e+03 2.942521e+00 7.223902e-04
+1.666667e+03 2.942368e+00 6.189578e-04
+2.000000e+03 2.942241e+00 5.156598e-04
+2.500000e+03 2.942139e+00 4.124277e-04
+3.333333e+03 2.942059e+00 3.092957e-04
+5.000000e+03 2.942001e+00 2.061308e-04
+1.000000e+04 2.941965e+00 1.030648e-04
diff --git a/nk/FeO.txt b/nk/FeO.txt
new file mode 100644
index 0000000..e9df672
--- /dev/null
+++ b/nk/FeO.txt
@@ -0,0 +1,82 @@
+77 .False.
+#Refractive index of FeO[s]; Henning et al. (1995), Astronomy and Astrophysics Supplement, v.112, p.143; Database of Optical Constants for Cosmic Dust, Laboratory Astrophysics Group of the AIU Jena
+#
+#
+#Wavelength (micron) n k
+2.000000e-01 1.380000e+00 1.160000e+00
+2.500000e-01 1.770000e+00 1.160000e+00
+3.000000e-01 2.000000e+00 1.050000e+00
+3.500000e-01 2.130000e+00 9.500000e-01
+4.000000e-01 2.220000e+00 8.700000e-01
+4.500000e-01 2.290000e+00 8.000000e-01
+5.000000e-01 2.340000e+00 7.400000e-01
+6.000000e-01 2.420000e+00 6.400000e-01
+7.000000e-01 2.440000e+00 5.500000e-01
+8.000000e-01 2.440000e+00 5.100000e-01
+9.000000e-01 2.440000e+00 5.000000e-01
+1.000000e+00 2.450000e+00 4.900000e-01
+1.200000e+00 2.480000e+00 5.100000e-01
+1.400000e+00 2.520000e+00 5.300000e-01
+1.600000e+00 2.580000e+00 5.300000e-01
+1.800000e+00 2.650000e+00 5.100000e-01
+2.000000e+00 2.700000e+00 4.600000e-01
+2.500000e+00 2.740000e+00 3.400000e-01
+3.000000e+00 2.750000e+00 2.700000e-01
+3.500000e+00 2.740000e+00 2.200000e-01
+4.000000e+00 2.730000e+00 1.900000e-01
+4.500000e+00 2.720000e+00 1.700000e-01
+5.000000e+00 2.710000e+00 1.500000e-01
+6.000000e+00 2.680000e+00 1.300000e-01
+7.000000e+00 2.640000e+00 1.200000e-01
+8.000000e+00 2.600000e+00 1.100000e-01
+9.000000e+00 2.550000e+00 1.100000e-01
+1.000000e+01 2.480000e+00 1.100000e-01
+1.100000e+01 2.410000e+00 1.200000e-01
+1.200000e+01 2.330000e+00 1.300000e-01
+1.300000e+01 2.220000e+00 1.500000e-01
+1.400000e+01 2.100000e+00 1.900000e-01
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+1.700000e+01 1.630000e+00 4.200000e-01
+1.800000e+01 1.290000e+00 6.000000e-01
+1.900000e+01 1.060000e+00 1.020000e+00
+2.000000e+01 9.900000e-01 1.460000e+00
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+2.900000e+01 3.860000e+00 5.010000e+00
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+3.600000e+01 5.900000e+00 1.680000e+00
+3.800000e+01 5.660000e+00 1.330000e+00
+4.000000e+01 5.410000e+00 1.130000e+00
+4.200000e+01 5.220000e+00 9.900000e-01
+4.400000e+01 5.100000e+00 9.200000e-01
+4.600000e+01 4.970000e+00 8.800000e-01
+4.800000e+01 4.910000e+00 8.500000e-01
+5.000000e+01 4.830000e+00 8.200000e-01
+6.000000e+01 4.620000e+00 8.300000e-01
+7.000000e+01 4.540000e+00 8.700000e-01
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+1.000000e+02 4.490000e+00 1.060000e+00
+1.200000e+02 4.540000e+00 1.240000e+00
+1.400000e+02 4.640000e+00 1.380000e+00
+1.600000e+02 4.720000e+00 1.460000e+00
+1.800000e+02 4.790000e+00 1.540000e+00
+2.000000e+02 4.850000e+00 1.620000e+00
+2.500000e+02 4.930000e+00 1.810000e+00
+3.000000e+02 5.020000e+00 2.030000e+00
+3.500000e+02 5.050000e+00 2.180000e+00
+4.000000e+02 5.060000e+00 2.480000e+00
+4.500000e+02 5.100000e+00 2.660000e+00
+5.000000e+02 5.150000e+00 2.820000e+00
diff --git a/nk/FeS.txt b/nk/FeS.txt
new file mode 100644
index 0000000..64eeea4
--- /dev/null
+++ b/nk/FeS.txt
@@ -0,0 +1,299 @@
+294 .False.
+#Refractive index of FeS[s]; Pollack et al. (1994) ApJ, 421:615; Henning&Mutschke (1997), A&A, 327:743
+#
+#
+#Wavelength (micron) n k
+1.000000e-01 1.334570e+00 7.593370e-01
+1.110000e-01 1.317070e+00 7.931070e-01
+1.250000e-01 1.317160e+00 8.296590e-01
+1.370000e-01 1.345670e+00 8.535510e-01
+1.435000e-01 1.369480e+00 8.633380e-01
+1.550000e-01 1.404690e+00 8.766860e-01
+1.650000e-01 1.415860e+00 8.874010e-01
+2.000000e-01 1.403260e+00 9.437690e-01
+2.270000e-01 1.419210e+00 9.932630e-01
+2.500000e-01 1.444290e+00 1.023510e+00
+2.630000e-01 1.457370e+00 1.036760e+00
+2.780000e-01 1.467650e+00 1.050820e+00
+2.970000e-01 1.469380e+00 1.069000e+00
+3.000000e-01 1.468280e+00 1.072060e+00
+4.600000e-01 1.311730e+00 1.328980e+00
+6.100000e-01 1.483580e+00 1.481020e+00
+1.000000e+00 2.147740e+00 2.168360e+00
+1.504000e+00 2.722820e+00 2.876804e+00
+1.850000e+00 3.154806e+00 3.320475e+00
+2.000000e+00 3.357280e+00 3.504723e+00
+2.245000e+00 3.711562e+00 3.796799e+00
+2.733000e+00 4.539881e+00 4.351009e+00
+2.872000e+00 4.817441e+00 4.503125e+00
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diff --git a/nk/H2O.txt b/nk/H2O.txt
new file mode 100644
index 0000000..d783df1
--- /dev/null
+++ b/nk/H2O.txt
@@ -0,0 +1,491 @@
+486 .False.
+#Refractive index of H2O[s] at -7 C; Warren (1984) Appl. Opt., Vol. 23:1206-1225
+#
+#
+#Wavelength (micron) n k
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diff --git a/nk/KCl.txt b/nk/KCl.txt
new file mode 100644
index 0000000..7853286
--- /dev/null
+++ b/nk/KCl.txt
@@ -0,0 +1,476 @@
+471 .False. # Number of lines, conductive flag
+# 5 line header for n-k original data
+# Potassium Chloride Salt KCl - Palik (1985), Querry (1987) - (cubic KCl)
+# Taken from:
+# wl(um) n k
+0.0067 0.99874 1.01E-3
+0.0113 0.99578 4.22E-3
+0.02883 0.96 3.0E-2
+0.02952 0.955 2.5E-2
+0.03024 0.945 2.0E-2
+0.03099 0.925 1.8E-2
+0.03179 0.91 2.0E-2
+0.03263 0.89 3.0E-2
+0.03351 0.87 5.0E-2
+0.03397 0.845 7.04E-2
+0.03444 0.86 8.0E-2
+0.03493 0.830 9.16E-2
+0.03542 0.87 0.115
+0.03594 0.851 0.105
+0.03646 0.89 0.12
+0.03701 0.854 7.83E-2
+0.03746 0.821 6.77E-2
+0.03792 0.800 9.24E-2
+0.03839 0.797 0.111
+0.03887 0.795 0.121
+0.03936 0.797 0.131
+0.03987 0.799 0.134
+0.04039 0.795 0.134
+0.04092 0.779 0.134
+0.04147 0.756 0.145
+0.04203 0.743 0.175
+0.04261 0.730 0.207
+0.04290 0.729 0.234
+0.04320 0.743 0.265
+0.04350 0.785 0.275
+0.04381 0.805 0.261
+0.04412 0.816 0.245
+0.04444 0.814 0.228
+0.04509 0.789 0.230
+0.04575 0.775 0.241
+0.04644 0.755 0.263
+0.04714 0.745 0.302
+0.04750 0.750 0.335
+0.04787 0.779 0.359
+0.04824 0.805 0.362
+0.04862 0.824 0.358
+0.04901 0.836 0.357
+0.04940 0.851 0.346
+0.05020 0.849 0.317
+0.05102 0.813 0.328
+0.05188 0.806 0.363
+0.05276 0.819 0.388
+0.05367 0.834 0.413
+0.05414 0.849 0.418
+0.05462 0.860 0.420
+0.05510 0.868 0.420
+0.05560 0.872 0.418
+0.05661 0.814 0.416
+0.05714 0.790 0.488
+0.05767 0.820 0.569
+0.05821 0.918 0.612
+0.05876 1.01 0.587
+0.05932 1.06 0.530
+0.05990 1.07 0.449
+0.06048 1.02 0.355
+0.06108 0.926 0.411
+0.06168 0.910 0.495
+0.06230 0.982 0.584
+0.06294 1.00 0.497
+0.06358 1.01 0.533
+0.06491 1.09 0.525
+0.06630 1.17 0.489
+0.06775 1.15 0.387
+0.06927 1.11 0.367
+0.07005 1.07 0.382
+0.07085 1.07 0.411
+0.07167 1.09 0.428
+0.07251 1.13 0.420
+0.07336 1.14 0.376
+0.07424 1.13 0.357
+0.07606 1.09 0.322
+0.07798 1.05 0.317
+0.07999 1.01 0.328
+0.08211 0.965 0.344
+0.08434 0.931 0.367
+0.08670 0.883 0.415
+0.08920 0.791 0.441
+0.09184 0.690 0.731
+0.09465 0.841 0.950
+0.09611 0.914 1.04
+0.09763 1.04 1.22
+0.09919 1.34 1.29
+0.1008 1.57 1.12
+0.1025 1.67 0.959
+0.1042 1.74 0.767
+0.1060 1.73 0.640
+0.1069 1.67 0.58
+0.1078 1.66 0.53
+0.1078 1.69 0.520
+0.1088 1.65 0.49
+0.1097 1.63 0.45
+0.1097 1.62 0.425
+0.1107 1.60 0.41
+0.1117 1.57 0.38
+0.1117 1.55 0.374
+0.1127 1.54 0.35
+0.1137 1.50 0.325
+0.1137 1.50 0.363
+0.1148 1.47 0.31
+0.1159 1.42 0.315
+0.1159 1.40 0.336
+0.1170 1.38 0.36
+0.1175 1.36 0.38
+0.1181 1.37 0.385
+0.1192 1.395 0.38
+0.1204 1.35 0.37
+0.1216 1.30 0.35
+0.1228 1.24 0.355
+0.1240 1.16 0.38
+0.1252 1.05 0.41
+0.1265 0.87 0.58
+0.1278 0.80 0.90
+0.1291 0.94 1.27
+0.1305 1.38 1.495
+0.1319 1.81 1.38
+0.1333 2.07 1.13
+0.1348 2.18 0.85
+0.1362 2.12 0.64
+0.1378 1.99 0.50
+0.1393 1.90 0.43
+0.1409 1.85 0.40
+0.1425 1.81 0.39
+0.1442 1.79 0.37
+0.1459 1.75 0.345
+0.1476 1.73 0.34
+0.1494 1.68 0.265
+0.1512 1.54 0.215
+0.1531 1.36 0.25
+0.1550 1.15 0.46
+0.1569 1.13 0.90
+0.1589 1.30 1.36
+0.1610 1.92 1.64
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diff --git a/nk/Mg2SiO4.txt b/nk/Mg2SiO4.txt
new file mode 100644
index 0000000..3cd32ff
--- /dev/null
+++ b/nk/Mg2SiO4.txt
@@ -0,0 +1,2006 @@
+2001 .False. # Number of lines, conductive flag
+# 5 line header for n-k original data
+# Fosterite Mg2SiO4 (295.15 K) - Suto et al. (2006) - (crystalline)
+# Taken from: Courtesy ProDiMo team - Woitke et al. (2009)
+# wl(um) n k
+ 0.100000 1.6115654 0.80391127
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+ 0.102802 1.6464313 0.78857023
+ 0.103276 1.6518341 0.78563464
+ 0.103753 1.6565872 0.78209621
+ 0.104232 1.6613404 0.77855778
+ 0.104713 1.6660933 0.77501935
+ 0.105196 1.6708465 0.77148098
+ 0.105682 1.6755996 0.76794255
+ 0.106170 1.6803527 0.76440412
+ 0.106660 1.6851058 0.76086569
+ 0.107152 1.6898589 0.75732726
+ 0.107647 1.6946120 0.75378883
+ 0.108143 1.6993651 0.75025040
+ 0.108643 1.7041183 0.74671197
+ 0.109144 1.7088712 0.74317354
+ 0.109648 1.7136244 0.73963511
+ 0.110154 1.7183776 0.73609674
+ 0.110662 1.7231307 0.73255831
+ 0.111173 1.7278838 0.72901988
+ 0.111686 1.7326369 0.72548145
+ 0.112202 1.7373900 0.72194302
+ 0.112720 1.7402173 0.71813089
+ 0.113240 1.7406994 0.71398532
+ 0.113763 1.7411814 0.70983976
+ 0.114288 1.7416635 0.70569426
+ 0.114815 1.7421455 0.70154870
+ 0.115345 1.7426275 0.69740319
+ 0.115878 1.7431096 0.69325763
+ 0.116413 1.7435915 0.68911213
+ 0.116950 1.7440737 0.68496656
+ 0.117490 1.7445557 0.68082100
+ 0.118032 1.7450377 0.67667550
+ 0.118577 1.7455198 0.67252994
+ 0.119124 1.7460018 0.66838443
+ 0.119674 1.7464839 0.66423887
+ 0.120226 1.7469659 0.66009337
+ 0.120781 1.7474478 0.65594780
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+ 0.138676 1.9420646 0.66085160
+ 0.139316 1.9529999 0.65735000
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+ 0.140605 1.9694633 0.64829516
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+ 0.141906 1.9936225 0.63697612
+ 0.142561 2.0038440 0.63130921
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+ 937.562 2.6010998 0.00017938582
+ 941.890 2.6010949 0.00017855949
+ 946.237 2.6010901 0.00017773698
+ 950.605 2.6010854 0.00017691829
+ 954.993 2.6010806 0.00017610338
+ 959.401 2.6010760 0.00017529225
+ 963.829 2.6010713 0.00017448487
+ 968.278 2.6010667 0.00017368124
+ 972.747 2.6010622 0.00017288132
+ 977.237 2.6010577 0.00017208509
+ 981.748 2.6010532 0.00017129256
+ 986.279 2.6010488 0.00017050368
+ 990.832 2.6010444 0.00016971846
+ 995.405 2.6010401 0.00016893688
+ 1000.00 2.6010358 0.00016815891
diff --git a/nk/Mg2SiO4_amorph.txt b/nk/Mg2SiO4_amorph.txt
new file mode 100644
index 0000000..54b06e3
--- /dev/null
+++ b/nk/Mg2SiO4_amorph.txt
@@ -0,0 +1,4853 @@
+4847 .False. # Number of lines, conductive flag
+# 5 line header for n-k original data
+# Refractive index of amporphous (sol-gel) Mg2SiO4[s]; Jäger et al. (2003), A&A Vol. 408; Database of Optical Constants for Cosmic Dust, Laboratory Astrophysics Group of the AIU Jena
+# Data points: 4847
+# Wavelength (micron) n k
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+2.018151e+01 1.777130e+00 6.466500e-01
+2.062024e+01 1.784470e+00 6.543600e-01
+2.107847e+01 1.796090e+00 6.703400e-01
+2.155753e+01 1.824590e+00 6.919800e-01
+2.205886e+01 1.852900e+00 7.057400e-01
+2.258407e+01 1.890520e+00 7.208500e-01
+2.313491e+01 1.930520e+00 7.259800e-01
+2.371328e+01 1.972190e+00 7.267000e-01
+2.432131e+01 2.014950e+00 7.223200e-01
+2.496135e+01 2.060590e+00 7.096700e-01
+2.563598e+01 2.101950e+00 6.865600e-01
+2.634809e+01 2.129330e+00 6.650800e-01
+2.710089e+01 2.165430e+00 6.388400e-01
+2.789797e+01 2.190700e+00 6.117600e-01
+2.874337e+01 2.210580e+00 5.844000e-01
+2.964160e+01 2.230370e+00 5.532400e-01
+3.059778e+01 2.245340e+00 5.270400e-01
+3.161771e+01 2.255180e+00 5.013400e-01
+3.270797e+01 2.265410e+00 4.795800e-01
+3.387611e+01 2.271790e+00 4.531600e-01
+3.513078e+01 2.279370e+00 4.322800e-01
+3.648197e+01 2.286340e+00 4.117700e-01
+3.794125e+01 2.292630e+00 3.915900e-01
+3.952213e+01 2.298170e+00 3.720600e-01
+4.124048e+01 2.303130e+00 3.530200e-01
+4.311505e+01 2.307490e+00 3.346100e-01
+4.516815e+01 2.311440e+00 3.166600e-01
+4.742656e+01 2.314920e+00 2.991900e-01
+4.992269e+01 2.318070e+00 2.822200e-01
+5.269618e+01 2.320840e+00 2.656700e-01
+5.579595e+01 2.323510e+00 2.497200e-01
+5.928320e+01 2.325920e+00 2.339900e-01
+6.323541e+01 2.328180e+00 2.186400e-01
+6.775222e+01 2.330270e+00 2.035700e-01
+7.296394e+01 2.332290e+00 1.888300e-01
+7.904426e+01 2.334290e+00 1.742000e-01
+8.623010e+01 2.336180e+00 1.597600e-01
+9.485312e+01 2.338060e+00 1.453600e-01
+1.053923e+02 2.339780e+00 1.310400e-01
+1.185664e+02 2.341600e+00 1.168400e-01
+1.355045e+02 2.343250e+00 1.025400e-01
+1.580885e+02 2.344810e+00 8.825000e-02
+1.897062e+02 2.346250e+00 7.385000e-02
+2.371328e+02 2.347530e+00 5.945000e-02
+3.161770e+02 2.348700e+00 4.486000e-02
+4.742656e+02 2.349650e+00 3.016000e-02
+9.485308e+02 2.350410e+00 1.523000e-02
+
diff --git a/nk/MgFeSiO3.txt b/nk/MgFeSiO3.txt
new file mode 100644
index 0000000..5478cb9
--- /dev/null
+++ b/nk/MgFeSiO3.txt
@@ -0,0 +1,114 @@
+109 .False. # Number of lines, conductive flag
+# 5 line header for n-k original data
+# Silicate perovskite (glassy) - Mg(0.5)Fe(0.5)SiO3 Dorschner et al. (1995) - (Glassy)
+# Taken from: http://www.astro.uni-jena.de/Laboratory/OCDB/amsilicates.html
+# wl(um) n k
+ 0.20000 1.692000 0.126100
+ 0.22000 1.682000 0.159452
+ 0.24000 1.682660 0.170723
+ 0.26000 1.692130 0.172362
+ 0.28000 1.703120 0.165792
+ 0.30000 1.712640 0.155402
+ 0.32000 1.721980 0.139879
+ 0.34000 1.725580 0.120936
+ 0.36000 1.723350 0.104020
+ 0.38000 1.718970 0.090612
+ 0.40000 1.714000 0.080011
+ 0.42000 1.709080 0.070935
+ 0.45000 1.701920 0.0596
+ 0.50000 1.688490 0.0448
+ 0.55000 1.683470 0.0340
+ 0.60000 1.679620 0.0271
+ 0.65000 1.674910 0.0212
+ 0.70000 1.671140 0.0173
+ 0.75000 1.670420 0.0150
+ 0.80000 1.670830 0.0130
+ 0.90000 1.673480 0.0110
+ 1.00000 1.664740 0.0106
+ 1.10000 1.664060 0.00929
+ 1.20000 1.663450 0.00763
+ 1.30000 1.658600 0.00562
+ 1.40000 1.658510 0.004574
+ 1.50000 1.653110 0.004185
+ 1.60000 1.651540 0.003988
+ 1.70000 1.648910 0.003924
+ 1.80000 1.643000 0.003901
+ 1.90000 1.640890 0.003803
+ 2.00000 1.639610 0.003687
+ 2.20000 1.634210 0.003177
+ 2.40000 1.631390 0.002771
+ 2.60000 1.630400 0.002549
+ 2.80000 1.625720 0.002496
+ 3.00000 1.620720 0.002435
+ 3.50000 1.610050 0.002355
+ 4.00000 1.602400 0.002325
+ 4.50000 1.590070 0.002415
+ 5.00000 1.571980 0.003943
+ 5.50000 1.549600 0.005595
+ 6.00000 1.514450 0.005292
+ 6.50000 1.474820 0.005530
+ 7.00000 1.426390 0.006873
+ 7.50000 1.341700 0.010152
+ 8.00000 1.179000 0.080000
+ 8.20000 1.099710 0.174299
+ 8.40000 1.049420 0.283574
+ 8.60000 1.022520 0.402287
+ 8.80000 1.023970 0.550100
+ 9.00000 1.111650 0.690516
+ 9.20000 1.194830 0.764587
+ 9.40000 1.282460 0.837277
+ 9.60000 1.391600 0.891191
+ 9.80000 1.503020 0.906286
+ 10.00000 1.591460 0.899745
+ 10.20000 1.670030 0.894592
+ 10.40000 1.749130 0.883678
+ 10.60000 1.831280 0.865377
+ 10.80000 1.915290 0.830937
+ 11.00000 1.992430 0.774737
+ 11.20000 2.054980 0.701662
+ 11.40000 2.096540 0.617208
+ 11.60000 2.121380 0.526409
+ 11.80000 2.117260 0.430532
+ 12.00000 2.091500 0.343929
+ 12.50000 1.953380 0.222494
+ 13.00000 1.828130 0.192467
+ 13.50000 1.734260 0.209341
+ 14.00000 1.676440 0.237457
+ 14.50000 1.622530 0.258699
+ 15.00000 1.556110 0.286465
+ 15.50000 1.470870 0.332634
+ 16.00000 1.407740 0.431476
+ 16.50000 1.383020 0.549423
+ 17.00000 1.392010 0.662267
+ 17.50000 1.430800 0.768590
+ 18.00000 1.490150 0.859168
+ 18.50000 1.562330 0.923043
+ 19.00000 1.628610 0.966874
+ 19.50000 1.685030 1.004350
+ 20.00000 1.737780 1.049290
+ 21.00000 1.917910 1.171880
+ 22.00000 2.173520 1.097130
+ 23.00000 2.260700 0.958625
+ 24.00000 2.277060 0.876735
+ 25.00000 2.284900 0.835082
+ 26.00000 2.292000 0.814357
+ 27.00000 2.313730 0.807300
+ 28.00000 2.339530 0.801926
+ 29.00000 2.371060 0.796287
+ 30.00000 2.406380 0.785840
+ 32.00000 2.475860 0.753022
+ 34.00000 2.535270 0.706568
+ 36.00000 2.576780 0.652521
+ 38.00000 2.604350 0.598526
+ 40.00000 2.617070 0.552510
+ 45.00000 2.626870 0.477036
+ 50.00000 2.639420 0.423418
+ 55.00000 2.650230 0.380857
+ 60.00000 2.653620 0.363516
+ 65.00000 2.661760 0.326641
+ 70.00000 2.671680 0.304631
+ 75.00000 2.671220 0.289556
+ 80.00000 2.686160 0.269921
+ 100.00000 2.690350 0.22
+ 200.00000 2.690350 0.11
+ 500.00000 2.690350 0.044
diff --git a/nk/MgFeSiO4.txt b/nk/MgFeSiO4.txt
new file mode 100644
index 0000000..454749a
--- /dev/null
+++ b/nk/MgFeSiO4.txt
@@ -0,0 +1,114 @@
+109 .False. # Number of lines, conductive flag
+# 5 line header for n-k original data
+# Enstatite MgFeSiO4 Dorschner et al. (1995) - (Glassy)
+# Taken from: http://www.astro.uni-jena.de/Laboratory/OCDB/amsilicates.html
+# wl(um) n k
+ 0.20000 1.639000 0.252700
+ 0.22000 1.646270 0.296752
+ 0.24000 1.673660 0.306467
+ 0.26000 1.699300 0.298033
+ 0.28000 1.720270 0.284053
+ 0.30000 1.739320 0.267913
+ 0.32000 1.755980 0.248871
+ 0.34000 1.769520 0.226834
+ 0.36000 1.777880 0.203944
+ 0.38000 1.782360 0.182206
+ 0.40000 1.783000 0.162700
+ 0.42000 1.781620 0.146043
+ 0.45000 1.776900 0.125545
+ 0.50000 1.768000 0.100800
+ 0.55000 1.758110 0.084417
+ 0.60000 1.750020 0.073388
+ 0.65000 1.743320 0.066047
+ 0.70000 1.736740 0.061587
+ 0.75000 1.732030 0.059366
+ 0.80000 1.728000 0.058940
+ 0.90000 1.724230 0.062433
+ 1.00000 1.726000 0.068667
+ 1.10000 1.734050 0.073906
+ 1.20000 1.744880 0.075312
+ 1.30000 1.756400 0.072720
+ 1.40000 1.765600 0.067319
+ 1.50000 1.772550 0.060619
+ 1.60000 1.777400 0.053790
+ 1.70000 1.780880 0.047300
+ 1.80000 1.783520 0.041358
+ 1.90000 1.784900 0.036315
+ 2.00000 1.786000 0.031472
+ 2.20000 1.784540 0.022807
+ 2.40000 1.779930 0.016450
+ 2.60000 1.777410 0.013906
+ 2.80000 1.773670 0.012492
+ 3.00000 1.769800 0.011819
+ 3.50000 1.757220 0.010237
+ 4.00000 1.747360 0.009116
+ 4.50000 1.735050 0.008616
+ 5.00000 1.713270 0.008925
+ 5.50000 1.690490 0.009600
+ 6.00000 1.660580 0.009538
+ 6.50000 1.627960 0.009480
+ 7.00000 1.581740 0.010248
+ 7.50000 1.524590 0.011749
+ 8.00000 1.432250 0.018034
+ 8.20000 1.377300 0.029283
+ 8.40000 1.310560 0.068907
+ 8.60000 1.239790 0.130354
+ 8.80000 1.178110 0.208844
+ 9.00000 1.130660 0.322395
+ 9.20000 1.117970 0.450726
+ 9.40000 1.145210 0.578708
+ 9.60000 1.204850 0.692721
+ 9.80000 1.284460 0.788015
+ 10.00000 1.385780 0.858723
+ 10.20000 1.490690 0.900194
+ 10.40000 1.590710 0.924853
+ 10.60000 1.699360 0.936368
+ 10.80000 1.809800 0.914062
+ 11.00000 1.903200 0.873590
+ 11.20000 1.984510 0.821378
+ 11.40000 2.061160 0.754132
+ 11.60000 2.119920 0.659036
+ 11.80000 2.151390 0.555593
+ 12.00000 2.145950 0.449014
+ 12.50000 2.018530 0.259213
+ 13.00000 1.843990 0.198182
+ 13.50000 1.707810 0.224203
+ 14.00000 1.628670 0.269157
+ 14.50000 1.554640 0.304912
+ 15.00000 1.452560 0.345071
+ 15.50000 1.351600 0.457960
+ 16.00000 1.290760 0.611700
+ 16.50000 1.302940 0.781527
+ 17.00000 1.356430 0.920307
+ 17.50000 1.437020 1.034100
+ 18.00000 1.531470 1.115800
+ 18.50000 1.627690 1.163220
+ 19.00000 1.707990 1.192490
+ 19.50000 1.784740 1.211690
+ 20.00000 1.849040 1.226260
+ 21.00000 1.956210 1.231100
+ 22.00000 2.025470 1.244230
+ 23.00000 2.099040 1.278830
+ 24.00000 2.182350 1.322510
+ 25.00000 2.292870 1.347800
+ 26.00000 2.396210 1.352150
+ 27.00000 2.497810 1.346490
+ 28.00000 2.606920 1.322360
+ 29.00000 2.703400 1.294700
+ 30.00000 2.788520 1.233950
+ 32.00000 2.898450 1.104530
+ 34.00000 2.956220 0.996759
+ 36.00000 2.975690 0.909601
+ 38.00000 3.016920 0.839224
+ 40.00000 3.021980 0.769572
+ 45.00000 3.031090 0.680491
+ 50.00000 3.049880 0.628184
+ 55.00000 3.081290 0.548553
+ 60.00000 3.091630 0.500892
+ 65.00000 3.097940 0.449979
+ 70.00000 3.100000 0.418000
+ 75.00000 3.100000 0.390000
+ 80.00000 3.100000 0.366000
+ 100.00000 3.100000 0.292000
+ 200.00000 3.100000 0.146000
+ 500.00000 3.100000 0.058000
diff --git a/nk/MgO.txt b/nk/MgO.txt
new file mode 100644
index 0000000..e044f1d
--- /dev/null
+++ b/nk/MgO.txt
@@ -0,0 +1,487 @@
+482 .False. # Number of lines, conductive flag
+# 5 line header for n-k original data
+# Periclase MgO - Palik (1985) - (cubic)
+#
+# wl(um) n k
+0.01653 0.951 0.070
+0.01675 0.952 0.070
+0.01698 0.954 0.069
+0.01722 0.954 0.069
+0.01771 0.952 0.074
+0.01823 0.952 0.077
+0.01879 0.958 0.076
+0.01907 0.962 0.073
+0.01937 0.964 0.064
+0.01968 0.965 0.063
+0.02000 0.960 0.064
+0.02033 0.950 0.067
+0.02066 0.938 0.071
+0.02101 0.925 0.081
+0.02138 0.926 0.113
+0.02175 0.954 0.117
+0.02214 0.964 0.105
+0.02254 0.964 0.105
+0.02275 0.965 0.104
+0.02296 0.966 0.106
+0.02339 0.975 0.109
+0.02384 0.985 0.094
+0.02407 0.981 0.082
+0.02431 0.972 0.079
+0.02480 0.963 0.084
+0.02530 0.960 0.083
+0.02583 0.955 0.085
+0.02638 0.950 0.084
+0.02695 0.943 0.090
+0.02755 0.940 0.088
+0.02818 0.930 0.094
+0.02883 0.926 0.103
+0.02952 0.924 0.106
+0.03024 0.918 0.113
+0.03100 0.915 0.123
+0.03179 0.916 0.129
+0.03263 0.915 0.133
+0.03351 0.912 0.138
+0.03444 0.909 0.140
+0.03493 0.903 0.143
+0.03542 0.898 0.153
+0.03647 0.902 0.165
+0.03757 0.908 0.169
+0.03875 0.913 0.166
+0.03936 0.913 0.160
+0.03999 0.909 0.153
+0.04065 0.901 0.145
+0.04133 0.887 0.142
+0.04275 0.862 0.142
+0.04428 0.830 0.142
+0.04509 0.806 0.146
+0.04592 0.781 0.155
+0.04679 0.754 0.168
+0.04769 0.724 0.188
+0.04862 0.694 0.221
+0.04959 0.677 0.264
+0.04979 0.675 0.275
+0.04999 0.675 0.287
+0.05061 0.689 0.303
+0.05102 0.692 0.304
+0.05145 0.684 0.309
+0.05166 0.680 0.313
+0.05188 0.678 0.319
+0.05231 0.677 0.325
+0.05276 0.669 0.328
+0.05321 0.658 0.334
+0.05391 0.636 0.348
+0.05462 0.612 0.365
+0.05510 0.589 0.382
+0.05585 0.553 0.423
+0.05636 0.531 0.464
+0.05687 0.522 0.511
+0.05740 0.519 0.507
+0.05767 0.522 0.586
+0.05794 0.526 0.614
+0.05821 0.535 0.642
+0.05848 0.550 0.669
+0.05876 0.568 0.693
+0.05904 0.592 0.716
+0.05932 0.624 0.723
+0.05961 0.645 0.720
+0.05990 0.659 0.723
+0.06019 0.676 0.710
+0.06048 0.673 0.704
+0.06078 0.669 0.704
+0.06108 0.661 0.707
+0.06138 0.651 0.716
+0.06199 0.632 0.752
+0.06230 0.625 0.786
+0.06262 0.635 0.820
+0.06294 0.652 0.847
+0.06326 0.670 0.871
+0.06358 0.691 0.892
+0.06391 0.714 0.911
+0.06424 0.743 0.930
+0.06458 0.776 0.918
+0.06491 0.780 0.929
+0.06508 0.792 0.929
+0.06525 0.798 0.929
+0.06560 0.807 0.935
+0.06595 0.817 0.944
+0.06630 0.828 0.955
+0.06666 0.842 0.969
+0.06702 0.859 0.982
+0.06757 0.887 0.996
+0.06812 0.915 1.007
+0.06850 0.931 1.014
+0.06888 0.947 1.023
+0.06926 0.964 1.034
+0.06965 0.984 1.049
+0.07005 1.009 1.064
+0.07025 1.025 1.074
+0.07045 1.046 1.082
+0.07085 1.087 1.074
+0.07126 1.119 1.081
+0.07167 1.166 1.074
+0.07208 1.203 1.043
+0.07251 1.224 1.023
+0.07293 1.241 1.001
+0.07315 1.248 1.001
+0.07336 1.265 1.000
+0.07380 1.301 0.976
+0.07424 1.333 0.941
+0.07469 1.341 0.883
+0.07514 1.344 0.862
+0.07560 1.346 0.810
+0.07606 1.337 0.774
+0.07653 1.301 0.714
+0.07701 1.247 0.705
+0.07749 1.214 0.724
+0.07798 1.195 0.727
+0.07847 1.173 0.736
+0.07897 1.160 0.760
+0.07999 1.149 0.773
+0.08051 1.141 0.788
+0.08104 1.135 0.798
+0.08157 1.131 0.819
+0.08211 1.139 0.835
+0.08266 1.147 0.841
+0.08321 1.149 0.843
+0.08377 1.150 0.852
+0.08434 1.149 0.847
+0.08492 1.137 0.851
+0.08551 1.120 0.864
+0.08610 1.115 0.883
+0.08670 1.110 0.903
+0.08731 1.106 0.919
+0.08793 1.094 0.929
+0.08856 1.065 0.947
+0.08920 1.023 0.994
+0.08984 0.990 1.087
+0.09017 0.984 1.133
+0.09050 0.980 1.218
+0.09116 1.054 1.350
+0.09150 1.111 1.418
+0.09184 1.191 1.471
+0.09218 1.283 1.499
+0.09253 1.374 1.507
+0.09287 1.463 1.503
+0.09322 1.549 1.479
+0.09357 1.632 1.446
+0.09393 1.702 1.380
+0.09428 1.744 1.312
+0.09464 1.768 1.248
+0.09501 1.779 1.193
+0.09537 1.786 1.147
+0.09574 1.789 1.103
+0.09611 1.788 1.065
+0.09686 1.779 0.997
+0.09840 1.745 0.894
+0.09919 1.723 0.858
+0.1000 1.694 0.824
+0.1025 1.603 0.770
+0.1033 1.565 0.765
+0.1042 1.520 0.767
+0.1051 1.473 0.787
+0.1064 1.397 0.839
+0.1069 1.370 0.890
+0.1078 1.371 1.000
+0.1088 1.409 1.081
+0.1097 1.468 1.161
+0.1107 1.555 1.210
+0.1112 1.601 1.220
+0.1117 1.646 1.230
+0.1127 1.735 1.228
+0.1137 1.814 1.202
+0.1148 1.877 1.166
+0.1181 1.999 1.041
+0.1216 2.045 0.921
+0.1240 2.061 0.867
+0.1265 2.074 0.819
+0.1278 2.079 0.798
+0.1305 2.091 0.761
+0.1333 2.103 0.728
+0.1378 2.130 0.679
+0.1409 2.147 0.642
+0.1459 2.160 0.587
+0.1512 2.171 0.545
+0.1531 2.168 0.532
+0.1550 2.154 0.530
+0.1560 2.145 0.539
+0.1569 2.137 0.558
+0.1579 2.127 0.589
+0.1583 2.126 0.611
+0.1590 2.132 0.651
+0.1600 2.180 0.731
+0.1610 2.270 0.813
+0.1614 2.327 0.851
+0.1619 2.389 0.885
+0.1623 2.498 0.936
+0.1625 2.574 0.949
+0.1627 2.665 0.944
+0.1629 2.753 0.912
+0.1631 2.839 0.866
+0.1634 2.922 0.800
+0.1636 2.994 0.711
+0.1638 3.048 0.600
+0.1640 3.061 0.474
+0.1642 3.035 0.360
+0.1644 2.999 0.272
+0.1647 2.944 0.204
+0.1649 2.892 0.149
+0.1653 2.793 7.6E-02
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+14.49 0.134 0.692
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+15.15 0.154 0.955
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+15.63 0.151 1.09
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+16.13 0.116 1.26
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+16.67 0.098 1.45
+16.95 0.086 1.56
+17.24 0.087 1.67
+17.54 0.086 1.78
+17.86 0.088 1.90
+18.18 0.089 2.03
+18.52 0.091 2.16
+18.87 0.093 2.31
+19.23 0.097 2.47
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+20.00 0.109 2.84
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+22.73 0.261 4.95
+23.26 0.362 5.71
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+24.39 1.01 8.97
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+25.64 13.50 4.06
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+29.41 5.35 0.208
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+31.25 4.74 0.129
+32.26 4.51 0.126
+33.33 4.36 0.113
+37.04 3.97 2.9E-02
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+41.67 3.71 2.54E-02
+43.47 3.64 2.33E-02
+45.46 3.58 2.15E-02
+47.62 3.53 2.14E-02
+50.00 3.48 2.18E-02
+52.63 3.44 2.20E-02
+55.56 3.40 2.36E-02
+58.82 3.37 2.55E-02
+62.50 3.34 2.46E-02
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+71.43 3.28 2.99E-02
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+83.33 3.24 3.38E-02
+90.91 3.22 3.87E-02
+95.24 3.21 4.55E-02
+100.0 3.20 3.56E-02
+105.2 3.20 2.36E-02
+111.1 3.19 1.46E-02
+117.6 3.18 6.2E-03
+125.0 3.178 4.8E-03
+133.3 3.172 3.9E-03
+142.9 3.167 3.42E-03
+153.8 3.162 3.15E-03
+166.7 3.157 2.80E-03
+181.8 3.153 2.53E-03
+200.0 3.149 2.28E-03
+222.2 3.146 2.00E-03
+250.0 3.143 1.79E-03
+285.7 3.140 1.51E-03
+333.3 3.138 1.21E-03
+400.0 3.136 9.8E-04
+500.0 3.134 7.3E-04
+625.0 3.133 5.8E-04
diff --git a/nk/MgSiO3.txt b/nk/MgSiO3.txt
new file mode 100644
index 0000000..6254930
--- /dev/null
+++ b/nk/MgSiO3.txt
@@ -0,0 +1,114 @@
+109 .False. # Number of lines, conductive flag
+# 5 line header for n-k original data
+# Enstatite MgSiO3 Dorschner et al. (1995) - (Glassy)
+# Taken from: http://www.astro.uni-jena.de/Laboratory/OCDB/amsilicates.html
+# wl(um) n k
+0.20000 1.691660 0.000000
+0.22000 1.659980 0.000000
+0.24000 1.641870 0.000000
+0.26000 1.626080 0.000000
+0.28000 1.614980 0.000000
+0.30000 1.606160 0.000000
+0.32000 1.597520 0.000120
+0.34000 1.592440 0.000056
+0.36000 1.591220 0.000032
+0.38000 1.590040 0.000023
+0.40000 1.587470 0.000020
+0.42000 1.586250 0.000020
+0.45000 1.583310 0.000020
+0.50000 1.577110 0.000021
+0.55000 1.576120 0.000022
+0.60000 1.573010 0.000024
+0.65000 1.569460 0.000026
+0.70000 1.566110 0.000027
+0.75000 1.566630 0.000029
+0.80000 1.564450 0.000031
+0.90000 1.561760 0.000034
+1.00000 1.559450 0.000037
+1.10000 1.554720 0.000039
+1.20000 1.550700 0.000041
+1.30000 1.545800 0.000043
+1.40000 1.549020 0.000045
+1.50000 1.540370 0.000046
+1.60000 1.540050 0.000048
+1.70000 1.538530 0.000049
+1.80000 1.536620 0.000051
+1.90000 1.530530 0.000053
+2.00000 1.527990 0.000055
+2.20000 1.533060 0.000058
+2.40000 1.524470 0.000059
+2.60000 1.523660 0.000062
+2.80000 1.522770 0.000065
+3.00000 1.518440 0.000069
+3.50000 1.512460 0.000077
+4.00000 1.508120 0.000098
+4.50000 1.498900 0.000254
+5.00000 1.483130 0.001717
+5.50000 1.459750 0.002991
+6.00000 1.427430 0.003063
+6.50000 1.389900 0.003618
+7.00000 1.347360 0.004679
+7.50000 1.272890 0.007576
+8.00000 1.126110 0.080000
+8.20000 1.033590 0.172919
+8.40000 0.964029 0.282479
+8.60000 0.934795 0.405138
+8.80000 0.927277 0.537180
+9.00000 0.945610 0.683368
+9.20000 1.020900 0.838377
+9.40000 1.135630 0.969920
+9.60000 1.291830 1.063660
+9.80000 1.467980 1.107110
+10.00000 1.638530 1.089670
+10.20000 1.781790 1.036500
+10.40000 1.901560 0.963028
+10.60000 1.995230 0.880221
+10.80000 2.075640 0.781747
+11.00000 2.120220 0.664483
+11.20000 2.144470 0.550649
+11.40000 2.141060 0.439305
+11.60000 2.115190 0.325975
+11.80000 2.053960 0.233126
+12.00000 1.967420 0.172564
+12.50000 1.795160 0.156462
+13.00000 1.709430 0.180131
+13.50000 1.658380 0.191791
+14.00000 1.599840 0.202059
+14.50000 1.542100 0.207884
+15.00000 1.463710 0.227195
+15.50000 1.362800 0.288365
+16.00000 1.276000 0.400827
+16.50000 1.244420 0.540814
+17.00000 1.262770 0.687301
+17.50000 1.323300 0.812235
+18.00000 1.409770 0.913193
+18.50000 1.513960 0.978202
+19.00000 1.616130 1.013190
+19.50000 1.713230 1.023110
+20.00000 1.793820 1.016330
+21.00000 1.915920 0.976749
+22.00000 1.992500 0.935388
+23.00000 2.049500 0.904287
+24.00000 2.094950 0.884255
+25.00000 2.141630 0.866796
+26.00000 2.182450 0.847426
+27.00000 2.224080 0.831598
+28.00000 2.263380 0.812555
+29.00000 2.298870 0.795010
+30.00000 2.333170 0.773947
+32.00000 2.395390 0.726950
+34.00000 2.444040 0.672697
+36.00000 2.470350 0.618677
+38.00000 2.493830 0.572154
+40.00000 2.503970 0.531511
+45.00000 2.517130 0.462887
+50.00000 2.528010 0.416075
+55.00000 2.542010 0.377017
+60.00000 2.549340 0.349009
+65.00000 2.557520 0.317048
+70.00000 2.561610 0.300762
+75.00000 2.571840 0.281830
+80.00000 2.579850 0.255008
+100.00000 2.580000 0.200000
+200.00000 2.580000 0.100000
+500.00000 2.580000 0.040000
diff --git a/nk/MgSiO3_amorph.txt b/nk/MgSiO3_amorph.txt
new file mode 100644
index 0000000..ba0edfb
--- /dev/null
+++ b/nk/MgSiO3_amorph.txt
@@ -0,0 +1,4238 @@
+4232 .False. # Number of lines, conductive flag
+# 5 line header for n-k original data
+# Refractive index of amorphous (sol-gel) MgSiO3[s]; Jäger et al. (2003), A&A Vol. 408; Database of Optical Constants for Cosmic Dust, Laboratory Astrophysics Group of the AIU Jena
+# Data points: 4232
+# Wavelength (micron) n k
+1.960392e-01 1.721260e+00 4.430000e-03
+1.960854e-01 1.720830e+00 4.380000e-03
+1.961315e-01 1.720400e+00 4.340000e-03
+1.961777e-01 1.719990e+00 4.300000e-03
+1.962239e-01 1.719570e+00 4.250000e-03
+1.962701e-01 1.719160e+00 4.210000e-03
+1.963163e-01 1.718760e+00 4.170000e-03
+1.963626e-01 1.718360e+00 4.130000e-03
+1.964089e-01 1.717960e+00 4.090000e-03
+1.964552e-01 1.717560e+00 4.060000e-03
+1.965015e-01 1.717180e+00 4.020000e-03
+1.965478e-01 1.716790e+00 3.980000e-03
+1.965942e-01 1.716410e+00 3.950000e-03
+1.966406e-01 1.716030e+00 3.910000e-03
+1.966870e-01 1.715660e+00 3.880000e-03
+1.967334e-01 1.715280e+00 3.840000e-03
+1.967799e-01 1.714920e+00 3.810000e-03
+1.968264e-01 1.714550e+00 3.780000e-03
+1.968729e-01 1.714190e+00 3.750000e-03
+1.969194e-01 1.713830e+00 3.720000e-03
+1.969659e-01 1.713470e+00 3.690000e-03
+1.970125e-01 1.713120e+00 3.660000e-03
+1.970595e-01 1.712770e+00 3.630000e-03
+1.971061e-01 1.712430e+00 3.610000e-03
+1.971527e-01 1.712080e+00 3.580000e-03
+1.971994e-01 1.711740e+00 3.550000e-03
+1.972461e-01 1.711400e+00 3.520000e-03
+1.972927e-01 1.711070e+00 3.500000e-03
+1.973395e-01 1.710730e+00 3.470000e-03
+1.973862e-01 1.710400e+00 3.450000e-03
+1.974330e-01 1.710080e+00 3.420000e-03
+1.974798e-01 1.709750e+00 3.400000e-03
+1.975266e-01 1.709430e+00 3.380000e-03
+1.975734e-01 1.709110e+00 3.350000e-03
+1.976203e-01 1.708790e+00 3.330000e-03
+1.976671e-01 1.708480e+00 3.310000e-03
+1.977140e-01 1.708160e+00 3.290000e-03
+1.977610e-01 1.707850e+00 3.260000e-03
+1.978079e-01 1.707540e+00 3.240000e-03
+1.978549e-01 1.707230e+00 3.220000e-03
+1.979018e-01 1.706930e+00 3.200000e-03
+1.979489e-01 1.706630e+00 3.180000e-03
+1.979959e-01 1.706330e+00 3.160000e-03
+1.980429e-01 1.706030e+00 3.140000e-03
+1.980900e-01 1.705730e+00 3.120000e-03
+1.981371e-01 1.705440e+00 3.110000e-03
+1.981842e-01 1.705140e+00 3.090000e-03
+1.982314e-01 1.704850e+00 3.070000e-03
+1.982785e-01 1.704560e+00 3.050000e-03
+1.983257e-01 1.704270e+00 3.040000e-03
+1.983729e-01 1.703990e+00 3.020000e-03
+1.984202e-01 1.703700e+00 3.000000e-03
+1.984674e-01 1.703420e+00 2.990000e-03
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+1.992746e-01 1.698860e+00 2.740000e-03
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+
diff --git a/nk/MnS.txt b/nk/MnS.txt
new file mode 100644
index 0000000..a8d1981
--- /dev/null
+++ b/nk/MnS.txt
@@ -0,0 +1,440 @@
+435 .False.
+#Refractive index of MnS[s]; Huffman&Wild (1967) Phys. Rev., Vol 156:989; Montaner et al. (1979) Phys. Status Solidi Appl. Res., Vol. 52:597
+#Data points: 435
+#
+#Wavelength (micron) n k
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diff --git a/nk/Na2S.txt b/nk/Na2S.txt
new file mode 100644
index 0000000..adcf53f
--- /dev/null
+++ b/nk/Na2S.txt
@@ -0,0 +1,1003 @@
+998 .False.
+#Refractive index of Na2S[s]; Khachai et al. (2009) J. Phys. Condens. Matter; Vol 21:095404; Montaner et al. (1979) Phys. Status Solidi Appl. Res., Vol. 52:597
+#Data points: 998
+#
+#Wavelength (micron) n k
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diff --git a/nk/NaCl.txt b/nk/NaCl.txt
new file mode 100644
index 0000000..f694720
--- /dev/null
+++ b/nk/NaCl.txt
@@ -0,0 +1,562 @@
+557 .False. # Number of lines, conductive flag
+# 5 line header for n-k original data
+# Sodium Chloride Salt NaCl - Palik (1985), Querry (1987) - (cubic NaCl)
+# Taken from:
+# wl(um) n k
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+ 18.5185 1.406 0.003
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+ 21.7391 1.352 0.003
+ 22.7273 1.330 0.002
+ 23.8095 1.302 0.003
+ 25.0000 1.263 0.003
+ 26.3158 1.226 0.014
+ 27.7778 1.171 0.011
+ 29.4118 1.093 0.031
+ 31.2500 1.001 0.049
+ 33.3333 0.866 0.102
+ 35.7143 0.677 0.172
+ 38.4615 0.480 0.617
+ 41.6667 0.497 0.792
+ 45.4545 0.265 1.147
+ 50.0000 0.192 1.970
+ 55.5556 0.431 3.582
+ 62.5000 6.293 1.948
+ 71.4286 3.662 0.226
+ 83.3333 3.047 0.095
+ 100.0000 2.756 0.077
+ 125.0000 2.585 0.071
+ 166.6667 2.493 0.056
diff --git a/nk/S8.txt b/nk/S8.txt
new file mode 100644
index 0000000..35fee07
--- /dev/null
+++ b/nk/S8.txt
@@ -0,0 +1,578 @@
+573 .False. # Number of lines, conductive flag
+# 5 line header for n-k original data
+# Orthorombic Sulpher S_alpha - S8 - Fuller in Palik et al. (1998) vol III
+# Taken from: Online e-book transcribe
+# wl(um) n k
+0.413e-4 1.000 0.123e-8
+0.425e-4 1.000 0.137e-8
+0.436e-4 1.000 0.153e-8
+0.448e-4 1.000 0.171e-8
+0.460e-4 1.000 0.190e-8
+0.472e-4 1.000 0.212e-8
+0.485e-4 1.000 0.236e-8
+0.498e-4 1.000 0.263e-8
+0.512e-4 1.000 0.293e-8
+0.526e-4 1.000 0.327e-8
+0.540e-4 1.000 0.364e-8
+0.554e-4 1.000 0.406e-8
+0.569e-4 1.000 0.452e-8
+0.585e-4 1.000 0.503e-8
+0.601e-4 1.000 0.560e-8
+0.617e-4 1.000 0.624e-8
+0.633e-4 1.000 0.695e-8
+0.651e-4 1.000 0.773e-8
+0.668e-4 1.000 0.860e-8
+0.686e-4 1.000 0.957e-8
+0.705e-4 1.000 0.107e-7
+0.714e-4 1.000 0.118e-7
+0.743e-4 1.000 0.132e-7
+0.764e-4 1.000 0.147e-7
+0.784e-4 1.000 0.163e-7
+0.805e-4 1.000 0.181e-7
+0.827e-4 1.000 0.201e-7
+0.850e-4 1.000 0.224e-7
+0.878e-4 1.000 0.248e-7
+0.896e-4 1.000 0.276e-7
+0.920e-4 1.000 0.307e-7
+0.945e-4 1.000 0.341e-7
+0.971e-4 1.000 0.378e-7
+0.997e-4 1.000 0.420e-7
+0.102e-3 1.000 0.467e-7
+0.105e-3 1.000 0.518e-7
+0.108e-3 1.000 0.575e-7
+0.111e-3 1.000 0.639e-7
+0.114e-3 1.000 0.709e-7
+0.117e-3 1.000 0.787e-7
+0.120e-3 1.000 0.873e-7
+0.123e-3 1.000 0.967e-7
+0.127e-3 1.000 0.107e-6
+0.130e-3 1.000 0.119e-6
+0.134e-3 1.000 0.132e-6
+0.137e-3 1.000 0.146e-6
+0.141e-3 1.000 0.162e-6
+0.145e-3 1.000 0.180e-6
+0.149e-3 1.000 0.199e-6
+0.153e-3 1.000 0.221e-6
+0.157e-3 1.000 0.245e-6
+0.161e-3 1.000 0.271e-6
+0.166e-3 1.000 0.301e-6
+0.170e-3 1.000 0.333e-6
+0.175e-3 1.000 0.396e-6
+0.179e-3 1.000 0.409e-6
+0.184e-3 1.000 0.453e-6
+0.189e-3 1.000 0.502e-6
+0.194e-3 1.000 0.556e-6
+0.200e-3 1.000 0.616e-6
+0.205e-3 1.000 0.682e-6
+0.211e-3 1.000 0.755e-6
+0.216e-3 1.000 0.835e-6
+0.222e-3 1.000 0.924e-6
+0.228e-3 1.000 0.102e-5
+0.234e-3 1.000 0.113e-5
+0.241e-3 1.000 0.125e-5
+0.247e-3 1.000 0.138e-5
+0.254e-3 1.000 0.153e-5
+0.261e-3 1.000 0.169e-5
+0.268e-3 1.000 0.187e-5
+0.275e-3 1.000 0.207e-5
+0.282e-3 1.000 0.228e-5
+0.290e-3 1.000 0.252e-5
+0.298e-3 1.000 0.278e-5
+0.306e-3 1.000 0.307e-5
+0.314e-3 1.000 0.339e-5
+0.323e-3 1.000 0.374e-5
+0.331e-3 1.000 0.413e-5
+0.340e-3 1.000 0.455e-5
+0.350e-3 1.000 0.502e-5
+0.359e-3 1.000 0.553e-5
+0.396e-3 1.000 0.609e-5
+0.379e-3 1.000 0.671e-5
+0.389e-3 1.000 0.738e-5
+0.399e-3 1.000 0.812e-5
+0.410e-3 1.000 0.893e-5
+0.421e-3 1.000 0.982e-5
+0.433e-3 1.000 0.108e-4
+0.444e-3 1.000 0.119e-4
+0.456e-3 1.000 0.130e-4
+0.469e-3 1.000 0.143e-4
+0.481e-3 1.000 0.157e-4
+0.495e-3 1.000 0.172e-4
+0.508e-3 1.000 0.186e-5
+0.522e-3 1.000 0.207e-5
+0.536e-3 1.000 0.230e-5
+0.550e-3 1.000 0.255e-5
+0.565e-3 1.000 0.282e-5
+0.580e-3 1.000 0.313e-5
+0.596e-3 1.000 0.346e-5
+0.612e-3 1.000 0.383e-5
+0.629e-3 1.000 0.423e-5
+0.646e-3 1.000 0.467e-5
+0.663e-3 1.000 0.516e-5
+0.681e-3 1.000 0.570e-5
+0.700e-3 1.000 0.630e-5
+0.719e-3 1.000 0.695e-5
+0.738e-3 1.000 0.766e-5
+0.758e-3 1.000 0.844e-5
+0.778e-3 1.000 0.930e-5
+0.799e-3 1.000 0.102e-4
+0.821e-3 1.000 0.113e-4
+0.843e-3 1.000 0.125e-4
+0.866e-3 1.000 0.137e-4
+0.890e-3 1.000 0.152e-4
+0.914e-3 1.000 0.167e-4
+0.938e-3 1.000 0.185e-4
+0.964e-3 1.000 0.204e-4
+0.990e-3 1.000 0.225e-4
+0.102e-2 1.000 0.248e-4
+0.104e-2 1.000 0.274e-4
+0.107e-2 1.000 0.303e-4
+0.110e-2 1.000 0.334e-4
+0.113e-2 1.000 0.369e-4
+0.116e-2 1.000 0.407e-4
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+0.126e-2 1.000 0.547e-4
+0.129e-2 1.000 0.603e-4
+0.133e-2 1.000 0.665e-4
+0.136e-2 0.999 0.733e-4
+0.140e-2 0.999 0.808e-4
+0.144e-2 0.999 0.891e-4
+0.148e-2 0.999 0.981e-4
+0.152e-2 0.999 0.108e-3
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+0.160e-2 0.999 0.131e-3
+0.164e-2 0.999 0.144e-3
+0.169e-2 0.999 0.159e-3
+0.173e-2 0.999 0.175e-3
+0.178e-2 0.999 0.192e-3
+0.183e-2 0.999 0.210e-3
+0.188e-2 0.999 0.231e-3
+0.193e-2 0.999 0.255e-3
+0.198e-2 0.999 0.279e-3
+0.203e-2 0.999 0.306e-3
+0.209e-2 0.999 0.335e-3
+0.215e-2 0.999 0.367e-3
+0.220e-2 0.999 0.402e-3
+0.226e-2 0.999 0.440e-3
+0.232e-2 0.999 0.480e-3
+0.239e-2 0.999 0.525e-3
+0.245e-2 0.998 0.573e-3
+0.252e-2 0.998 0.625e-3
+0.259e-2 0.998 0.683e-3
+0.266e-2 0.998 0.746e-3
+0.273e-2 0.998 0.814e-3
+0.280e-2 0.998 0.887e-3
+0.288e-2 0.998 0.965e-3
+0.296e-2 0.998 0.105e-2
+0.304e-2 0.998 0.114e-2
+0.312e-2 0.998 0.124e-2
+0.320e-2 0.998 0.135e-2
+0.329e-2 0.997 0.146e-2
+0.338e-2 0.997 0.157e-2
+0.347e-2 0.997 0.170e-2
+0.356e-2 0.997 0.183e-2
+0.366e-2 0.997 0.198e-2
+0.376e-2 0.997 0.214e-2
+0.386e-2 0.997 0.231e-2
+0.397e-2 0.997 0.249e-2
+0.407e-2 0.997 0.269e-2
+0.418e-2 0.997 0.291e-2
+0.430e-2 0.997 0.314e-2
+0.441e-2 0.997 0.339e-2
+0.453e-2 0.997 0.361e-2
+0.465e-2 0.996 0.381e-2
+0.478e-2 0.996 0.401e-2
+0.491e-2 0.996 0.422e-2
+0.504e-2 0.996 0.444e-2
+0.518e-2 0.996 0.467e-2
+0.532e-2 0.996 0.491e-2
+0.546e-2 0.996 0.517e-2
+0.561e-2 0.996 0.544e-2
+0.576e-2 0.996 0.573e-2
+0.592e-2 0.996 0.606e-2
+0.608e-2 0.996 0.646e-2
+0.624e-2 0.997 0.688e-2
+0.641e-2 0.997 0.732e-2
+0.658e-2 0.997 0.778e-2
+0.676e-2 0.998 0.825e-2
+0.694e-2 0.998 0.873e-2
+0.713e-2 0.999 0.924e-2
+0.733e-2 1.001 0.978e-2
+0.752e-2 1.004 0.103e-1
+0.773e-2 1.006 0.928e-3
+0.793e-2 1.001 0.988e-3
+0.815e-2 1.000 0.105e-2
+0.837e-2 0.999 0.112e-2
+0.860e-2 0.998 0.120e-2
+0.883e-2 0.997 0.128e-2
+0.907e-2 0.996 0.138e-2
+0.931e-2 0.996 0.147e-2
+0.957e-2 0.995 0.157e-2
+0.982e-2 0.994 0.168e-2
+0.101e-1 0.994 0.179e-2
+0.104e-1 0.993 0.191e-2
+0.106e-1 0.992 0.204e-2
+0.109e-1 0.991 0.218e-2
+0.112e-1 0.991 0.231e-2
+0.115e-1 0.990 0.246e-2
+0.118e-1 0.989 0.264e-2
+0.122e-1 0.988 0.283e-2
+0.125e-1 0.988 0.303e-2
+0.128e-1 0.987 0.321e-2
+0.132e-1 0.986 0.340e-2
+0.135e-1 0.985 0.361e-2
+0.139e-1 0.984 0.382e-2
+0.143e-1 0.983 0.403e-2
+0.147e-1 0.982 0.426e-2
+0.151e-1 0.981 0.449e-2
+0.155e-1 0.980 0.474e-2
+0.159e-1 0.979 0.497e-2
+0.163e-1 0.977 0.519e-2
+0.168e-1 0.976 0.546e-2
+0.172e-1 0.975 0.575e-2
+0.177e-1 0.973 0.597e-2
+0.182e-1 0.972 0.618e-2
+0.186e-1 0.970 0.637e-2
+0.191e-1 0.968 0.653e-2
+0.197e-1 0.967 0.665e-2
+0.202e-1 0.965 0.673e-2
+0.207e-1 0.963 0.688e-2
+0.213e-1 0.960 0.699e-2
+0.219e-1 0.958 0.693e-2
+0.225e-1 0.955 0.693e-2
+0.231e-1 0.953 0.693e-2
+0.237e-1 0.950 0.686e-2
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+0.111 1.352 0.771
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+0.170e1 1.940 0.325e-6
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diff --git a/nk/SiC.txt b/nk/SiC.txt
new file mode 100644
index 0000000..a31b753
--- /dev/null
+++ b/nk/SiC.txt
@@ -0,0 +1,1206 @@
+1201 .False.
+#Refractive index of SiC[s]; Laor & Draine (1993), ApJ 402:441
+#Data points: 1201
+#
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+6.607000e+02 3.198000e+00 4.277000e-03
+6.683000e+02 3.198000e+00 4.228000e-03
+6.761000e+02 3.198000e+00 4.179000e-03
+6.839000e+02 3.198000e+00 4.132000e-03
+6.918000e+02 3.198000e+00 4.084000e-03
+6.998000e+02 3.198000e+00 4.038000e-03
+7.079000e+02 3.198000e+00 3.991000e-03
+7.161000e+02 3.198000e+00 3.946000e-03
+7.244000e+02 3.198000e+00 3.900000e-03
+7.328000e+02 3.198000e+00 3.856000e-03
+7.413000e+02 3.198000e+00 3.812000e-03
+7.499000e+02 3.198000e+00 3.768000e-03
+7.586000e+02 3.198000e+00 3.725000e-03
+7.674000e+02 3.198000e+00 3.682000e-03
+7.762000e+02 3.198000e+00 3.640000e-03
+7.852000e+02 3.198000e+00 3.598000e-03
+7.943000e+02 3.198000e+00 3.557000e-03
+8.035000e+02 3.198000e+00 3.517000e-03
+8.128000e+02 3.198000e+00 3.476000e-03
+8.222000e+02 3.198000e+00 3.437000e-03
+8.318000e+02 3.198000e+00 3.397000e-03
+8.414000e+02 3.198000e+00 3.358000e-03
+8.511000e+02 3.198000e+00 3.320000e-03
+8.610000e+02 3.198000e+00 3.282000e-03
+8.710000e+02 3.198000e+00 3.244000e-03
+8.810000e+02 3.198000e+00 3.207000e-03
+8.913000e+02 3.198000e+00 3.170000e-03
+9.016000e+02 3.198000e+00 3.134000e-03
+9.120000e+02 3.198000e+00 3.098000e-03
+9.226000e+02 3.198000e+00 3.063000e-03
+9.333000e+02 3.198000e+00 3.028000e-03
+9.441000e+02 3.198000e+00 2.993000e-03
+9.550000e+02 3.198000e+00 2.959000e-03
+9.661000e+02 3.198000e+00 2.925000e-03
+9.772000e+02 3.198000e+00 2.891000e-03
+9.886000e+02 3.198000e+00 2.858000e-03
+1.000000e+03 3.198000e+00 2.826000e-03
diff --git a/nk/SiO.txt b/nk/SiO.txt
new file mode 100644
index 0000000..a4018c3
--- /dev/null
+++ b/nk/SiO.txt
@@ -0,0 +1,166 @@
+161 .False.
+#Refractive index of SiO[s]; Philipp (1985) in Palik: "Handbook of Optical Constants of Solids"; Wetzel et al. (2013) A&A, Vol 553:A92
+#Data points: 161
+#
+#Wavelength (micron) n k
+4.959000e-02 8.690000e-01 2.717000e-01
+5.166000e-02 8.444000e-01 3.060000e-01
+5.391000e-02 8.371000e-01 3.505000e-01
+5.510000e-02 8.391000e-01 3.761000e-01
+5.636000e-02 8.454000e-01 3.987000e-01
+5.767000e-02 8.519000e-01 4.222000e-01
+5.904000e-02 8.610000e-01 4.456000e-01
+6.048000e-02 8.721000e-01 4.688000e-01
+6.199000e-02 8.853000e-01 4.919000e-01
+6.358000e-02 9.007000e-01 5.140000e-01
+6.526000e-02 9.178000e-01 5.362000e-01
+6.702000e-02 9.376000e-01 5.578000e-01
+6.888000e-02 9.596000e-01 5.771000e-01
+7.085000e-02 9.825000e-01 5.961000e-01
+7.293000e-02 1.008000e+00 6.147000e-01
+7.514000e-02 1.036000e+00 6.309000e-01
+7.749000e-02 1.066000e+00 6.453000e-01
+7.999000e-02 1.098000e+00 6.566000e-01
+8.266000e-02 1.132000e+00 6.651000e-01
+8.551000e-02 1.166000e+00 6.692000e-01
+8.856000e-02 1.199000e+00 6.698000e-01
+9.184000e-02 1.231000e+00 6.666000e-01
+9.537000e-02 1.259000e+00 6.602000e-01
+9.919000e-02 1.283000e+00 6.523000e-01
+1.033000e-01 1.307000e+00 6.464000e-01
+1.078000e-01 1.311000e+00 6.293000e-01
+1.127000e-01 1.320000e+00 6.529000e-01
+1.181000e-01 1.345000e+00 6.701000e-01
+1.240000e-01 1.378000e+00 6.843000e-01
+1.305000e-01 1.412000e+00 6.920000e-01
+1.378000e-01 1.445000e+00 7.002000e-01
+1.459000e-01 1.482000e+00 7.153000e-01
+1.550000e-01 1.530000e+00 7.333000e-01
+1.653000e-01 1.593000e+00 7.473000e-01
+1.771000e-01 1.667000e+00 7.479000e-01
+1.907000e-01 1.746000e+00 7.348000e-01
+2.066000e-01 1.829000e+00 7.084000e-01
+2.156000e-01 1.871000e+00 6.890000e-01
+2.254000e-01 1.914000e+00 6.663000e-01
+2.362000e-01 1.957000e+00 6.383000e-01
+2.480000e-01 2.001000e+00 6.052000e-01
+2.583000e-01 2.034000e+00 5.723000e-01
+2.695000e-01 2.066000e+00 5.364000e-01
+2.818000e-01 2.094000e+00 4.948000e-01
+2.952000e-01 2.119000e+00 4.499000e-01
+3.100000e-01 2.141000e+00 4.006000e-01
+3.263000e-01 2.157000e+00 3.453000e-01
+3.444000e-01 2.162000e+00 2.872000e-01
+3.647000e-01 2.160000e+00 2.287000e-01
+3.875000e-01 2.144000e+00 1.706000e-01
+4.133000e-01 2.116000e+00 1.211000e-01
+4.428000e-01 2.085000e+00 8.374000e-02
+4.769000e-01 2.053000e+00 5.544000e-02
+5.166000e-01 2.021000e+00 3.533000e-02
+5.636000e-01 1.994000e+00 2.153000e-02
+6.199000e-01 1.969000e+00 1.175000e-02
+6.888000e-01 1.948000e+00 5.230000e-03
+7.749000e-01 1.929000e+00 1.510000e-03
+8.856000e-01 1.913000e+00 1.511446e-03
+1.000000e+00 1.870000e+00 1.515991e-03
+2.000000e+00 1.840000e+00 1.698571e-03
+3.000000e+00 1.820000e+00 2.229113e-03
+4.000000e+00 1.800000e+00 3.431828e-03
+5.000000e+00 1.750000e+00 6.207943e-03
+6.000000e+00 1.700000e+00 1.321546e-02
+7.000000e+00 1.600000e+00 3.315988e-02
+7.500000e+00 1.420000e+00 5.589405e-02
+8.000000e+00 1.150000e+00 9.822535e-02
+8.500000e+00 9.000000e-01 1.800000e-01
+9.000000e+00 9.100000e-01 7.500000e-01
+9.500000e+00 1.200000e+00 1.200000e+00
+9.556433e+00 1.489972e+00 1.177050e+00
+9.596549e+00 1.525292e+00 1.204179e+00
+9.637002e+00 1.567770e+00 1.239430e+00
+9.677799e+00 1.615904e+00 1.258513e+00
+9.718942e+00 1.665274e+00 1.280074e+00
+9.739645e+00 1.702741e+00 1.305546e+00
+9.802287e+00 1.776927e+00 1.306212e+00
+9.844498e+00 1.833585e+00 1.315204e+00
+9.910886e+00 1.919863e+00 1.311529e+00
+9.975758e+00 2.014230e+00 1.291267e+00
+1.006359e+01 2.111941e+00 1.277946e+00
+1.013048e+01 2.193601e+00 1.261314e+00
+1.029007e+01 2.366554e+00 1.156387e+00
+1.036002e+01 2.425723e+00 1.093983e+00
+1.045478e+01 2.496415e+00 1.029774e+00
+1.050281e+01 2.534048e+00 9.814149e-01
+1.055128e+01 2.559341e+00 9.304639e-01
+1.060021e+01 2.592903e+00 8.835187e-01
+1.062484e+01 2.597278e+00 8.442845e-01
+1.067445e+01 2.613509e+00 8.040944e-01
+1.069943e+01 2.615638e+00 7.630758e-01
+1.074974e+01 2.630830e+00 7.242713e-01
+1.080052e+01 2.636795e+00 6.822745e-01
+1.085179e+01 2.639419e+00 6.473102e-01
+1.088049e+01 2.636721e+00 6.079312e-01
+1.093252e+01 2.633862e+00 5.739143e-01
+1.098505e+01 2.628511e+00 5.349162e-01
+1.101151e+01 2.624734e+00 5.012080e-01
+1.106480e+01 2.617573e+00 4.622447e-01
+1.111862e+01 2.608979e+00 4.287600e-01
+1.117296e+01 2.594258e+00 3.904961e-01
+1.120033e+01 2.587502e+00 3.594561e-01
+1.128325e+01 2.564233e+00 3.212178e-01
+1.131116e+01 2.551691e+00 2.902871e-01
+1.139574e+01 2.520504e+00 2.519912e-01
+1.145282e+01 2.490288e+00 2.187094e-01
+1.156874e+01 2.441941e+00 1.887257e-01
+1.165722e+01 2.399207e+00 1.575115e-01
+1.189994e+01 2.300797e+00 1.281941e-01
+1.218898e+01 2.203247e+00 1.270243e-01
+1.248862e+01 2.135096e+00 1.487392e-01
+1.280336e+01 2.078429e+00 1.818214e-01
+1.313438e+01 2.061881e+00 2.198555e-01
+1.340391e+01 2.060696e+00 2.419394e-01
+1.381336e+01 2.063860e+00 2.675523e-01
+1.419945e+01 2.082675e+00 2.723772e-01
+1.474910e+01 2.095526e+00 2.599105e-01
+1.513981e+01 2.100891e+00 2.412989e-01
+1.561077e+01 2.086680e+00 2.136286e-01
+1.599300e+01 2.066920e+00 1.974280e-01
+1.669371e+01 2.021666e+00 1.869265e-01
+1.739222e+01 1.962005e+00 1.964542e-01
+1.800875e+01 1.914553e+00 2.288958e-01
+1.837874e+01 1.894143e+00 2.552505e-01
+1.891085e+01 1.867980e+00 2.956085e-01
+1.931018e+01 1.854284e+00 3.343944e-01
+1.981223e+01 1.846115e+00 3.767237e-01
+2.016169e+01 1.846703e+00 4.174403e-01
+2.061623e+01 1.848235e+00 4.583502e-01
+2.089893e+01 1.857058e+00 4.927207e-01
+2.138773e+01 1.876975e+00 5.357058e-01
+2.169215e+01 1.892948e+00 5.630565e-01
+2.233985e+01 1.928932e+00 6.033771e-01
+2.278516e+01 1.961372e+00 6.322739e-01
+2.336740e+01 1.981921e+00 6.599638e-01
+2.385507e+01 2.032640e+00 6.768871e-01
+2.449405e+01 2.075960e+00 6.954562e-01
+2.503041e+01 2.110561e+00 7.126398e-01
+2.602783e+01 2.181298e+00 7.244863e-01
+2.694826e+01 2.242124e+00 7.216492e-01
+2.865599e+01 2.332095e+00 7.035097e-01
+3.057207e+01 2.420214e+00 6.778951e-01
+3.299920e+01 2.509515e+00 6.207163e-01
+3.398018e+01 2.535765e+00 5.931425e-01
+3.556612e+01 2.568198e+00 5.533513e-01
+3.674107e+01 2.582867e+00 5.239310e-01
+3.860225e+01 2.607663e+00 4.871372e-01
+3.995146e+01 2.619875e+00 4.589601e-01
+4.216189e+01 2.636989e+00 4.242057e-01
+4.419979e+01 2.651768e+00 3.905588e-01
+4.692132e+01 2.663473e+00 3.548660e-01
+4.841176e+01 2.666480e+00 3.318403e-01
+5.169598e+01 2.670865e+00 2.942757e-01
+5.351105e+01 2.671291e+00 2.716441e-01
+5.763305e+01 2.665279e+00 2.383033e-01
+6.069322e+01 2.657190e+00 2.134861e-01
+6.594551e+01 2.646756e+00 1.883678e-01
+7.219298e+01 2.633676e+00 1.635326e-01
+8.415133e+01 2.615161e+00 1.416209e-01
+1.008578e+02 2.597243e+00 1.309836e-01
diff --git a/nk/SiO2.txt b/nk/SiO2.txt
new file mode 100644
index 0000000..a1e0b07
--- /dev/null
+++ b/nk/SiO2.txt
@@ -0,0 +1,2022 @@
+2017 .False. # Number of lines, conductive flag
+# 5 line header for n-k original data
+# alpha-Quartz SiO2 (928 K) Zeidler et al. (2013), Palik (1985) - (Crystalline)
+# Taken from:
+# wl(um) n k
+0.0001240 0.9999945 4.68E-08
+0.0001269 0.9999942 5.13E-08
+0.0001298 0.9999939 5.62E-08
+0.0001329 0.9999936 6.16E-08
+0.0001359 0.9999933 6.75E-08
+0.0001391 0.9999930 7.40E-08
+0.0001424 0.9999927 8.10E-08
+0.0001457 0.9999923 8.88E-08
+0.0001491 0.9999920 9.73E-08
+0.0001525 0.9999916 1.07E-07
+0.0001561 0.9999912 1.17E-07
+0.0001597 0.9999908 1.28E-07
+0.0001634 0.9999903 1.40E-07
+0.0001673 0.9999899 1.53E-07
+0.0001711 0.9999894 1.68E-07
+0.0001751 0.9999889 1.84E-07
+0.0001792 0.9999884 2.01E-07
+0.0001834 0.9999878 2.20E-07
+0.0001877 0.9999872 2.41E-07
+0.0001920 0.9999866 2.64E-07
+0.0001965 0.9999860 2.89E-07
+0.0002011 0.9999853 3.16E-07
+0.0002058 0.9999846 3.46E-07
+0.0002106 0.9999839 3.79E-07
+0.0002155 0.9999831 4.14E-07
+0.0002205 0.9999823 4.53E-07
+0.0002256 0.9999815 4.96E-07
+0.0002309 0.9999806 5.42E-07
+0.0002362 0.9999797 5.93E-07
+0.0002418 0.9999787 6.48E-07
+0.0002474 0.9999777 7.09E-07
+0.0002531 0.9999766 7.75E-07
+0.0002590 0.9999755 8.47E-07
+0.0002651 0.9999744 9.26E-07
+0.0002712 0.9999731 1.01E-06
+0.0002776 0.9999719 1.11E-06
+0.0002840 0.9999705 1.21E-06
+0.0002906 0.9999691 1.32E-06
+0.0002974 0.9999676 1.44E-06
+0.0003043 0.9999661 1.58E-06
+0.0003114 0.9999645 1.72E-06
+0.0003187 0.9999629 1.88E-06
+0.0003261 0.9999611 2.05E-06
+0.0003337 0.9999592 2.24E-06
+0.0003415 0.9999573 2.44E-06
+0.0003494 0.9999554 2.67E-06
+0.0003576 0.9999532 2.91E-06
+0.0003659 0.9999510 3.17E-06
+0.0003744 0.9999487 3.46E-06
+0.0003832 0.9999464 3.77E-06
+0.0003921 0.9999439 4.11E-06
+0.0004012 0.9999412 4.48E-06
+0.0004105 0.9999385 4.89E-06
+0.0004201 0.9999356 5.32E-06
+0.0004299 0.9999326 5.80E-06
+0.0004399 0.9999296 6.32E-06
+0.0004502 0.9999263 6.88E-06
+0.0004607 0.9999230 7.49E-06
+0.0004714 0.9999195 8.15E-06
+0.0004824 0.9999159 8.86E-06
+0.0004936 0.9999121 9.64E-06
+0.0005051 0.9999082 1.05E-05
+0.0005169 0.9999042 1.14E-05
+0.0005289 0.9999000 1.24E-05
+0.0005412 0.999896 1.35E-05
+0.0005538 0.999891 1.46E-05
+0.0005667 0.999887 1.59E-05
+0.0005799 0.999882 1.72E-05
+0.0005934 0.999878 1.87E-05
+0.0006073 0.999873 2.03E-05
+0.0006214 0.999869 2.20E-05
+0.0006359 0.999865 2.38E-05
+0.0006507 0.999861 2.58E-05
+0.0006658 0.999863 2.80E-05
+0.0006813 0.999858 9.04E-06
+0.0006972 0.999843 9.87E-06
+0.0007135 0.999833 1.08E-05
+0.0007301 0.999823 1.18E-05
+0.0007471 0.999813 1.28E-05
+0.0007645 0.999802 1.40E-05
+0.0007823 0.999792 1.53E-05
+0.0008005 0.999781 1.66E-05
+0.0008191 0.999770 1.81E-05
+0.0008382 0.999758 1.98E-05
+0.0008578 0.999746 2.15E-05
+0.0008778 0.999734 2.35E-05
+0.0008982 0.999721 2.55E-05
+0.0009191 0.999707 2.78E-05
+0.0009405 0.999693 3.03E-05
+0.0009625 0.999678 3.30E-05
+0.0009849 0.999662 3.59E-05
+0.001008 0.999646 3.91E-05
+0.001031 0.999629 4.25E-05
+0.001055 0.999611 4.62E-05
+0.001080 0.999593 5.03E-05
+0.001105 0.999573 5.47E-05
+0.001131 0.999553 5.95E-05
+0.001157 0.999532 6.48E-05
+0.001184 0.999510 7.05E-05
+0.001212 0.999487 7.66E-05
+0.001240 0.999464 8.29E-05
+0.001269 0.999439 9.00E-05
+0.001298 0.999413 9.80E-05
+0.001328 0.999386 1.07E-04
+0.001359 0.999358 1.16E-04
+0.001391 0.999329 1.25E-04
+0.001423 0.999299 1.36E-04
+0.001457 0.999268 1.47E-04
+0.001491 0.999235 1.60E-04
+0.001525 0.999202 1.74E-04
+0.001561 0.999167 1.89E-04
+0.001597 0.999132 2.06E-04
+0.001634 0.999096 2.23E-04
+0.001673 0.999059 2.42E-04
+0.001712 0.999021 2.63E-04
+0.001751 0.99898 2.85E-04
+0.001792 0.99895 3.08E-04
+0.001834 0.99891 3.33E-04
+0.001877 0.99887 3.62E-04
+0.001920 0.99883 3.93E-04
+0.001965 0.99879 4.26E-04
+0.002011 0.99876 4.61E-04
+0.002057 0.99874 4.99E-04
+0.002106 0.99872 5.40E-04
+0.002155 0.99871 5.85E-04
+0.002205 0.99874 6.33E-04
+0.002256 0.99890 6.86E-04
+0.002309 0.99887 2.04E-04
+0.002363 0.99862 2.21E-04
+0.002417 0.99848 2.39E-04
+0.002474 0.99835 2.58E-04
+0.002531 0.99824 2.79E-04
+0.002591 0.99812 3.02E-04
+0.002651 0.99801 3.26E-04
+0.002712 0.99789 3.52E-04
+0.002776 0.99778 3.80E-04
+0.002840 0.99765 4.11E-04
+0.002906 0.99753 4.44E-04
+0.002974 0.99740 4.80E-04
+0.003043 0.99727 5.18E-04
+0.003114 0.99713 5.60E-04
+0.003187 0.99698 6.05E-04
+0.003261 0.99683 6.53E-04
+0.003337 0.99667 7.06E-04
+0.003415 0.99651 7.64E-04
+0.003494 0.99634 8.26E-04
+0.003576 0.99616 8.93E-04
+0.003660 0.99598 9.65E-04
+0.003745 0.99579 1.04E-03
+0.003831 0.99559 1.13E-03
+0.003921 0.99539 1.22E-03
+0.004012 0.99518 1.32E-03
+0.004105 0.99496 1.43E-03
+0.004201 0.99473 1.54E-03
+0.004299 0.99450 1.66E-03
+0.004400 0.99426 1.79E-03
+0.004502 0.99401 1.92E-03
+0.004607 0.99375 2.07E-03
+0.004714 0.99348 2.22E-03
+0.004824 0.99320 2.39E-03
+0.004936 0.99291 2.57E-03
+0.005050 0.99260 2.77E-03
+0.005168 0.99229 2.98E-03
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diff --git a/nk/SiO2_amorph.txt b/nk/SiO2_amorph.txt
new file mode 100644
index 0000000..5b097da
--- /dev/null
+++ b/nk/SiO2_amorph.txt
@@ -0,0 +1,440 @@
+434 .False. # Number of lines, conductive flag
+# 5 line header for n-k original data
+# Refractive index of amorphous SiO2[s] at 300K; Henning&Mutschke (1997), A&A Vol. 327; Philipp (1985) in Palik: "Handbook of Optical Constants of Solids"; Database of Optical Constants for Cosmic Dust, Laboratory Astrophysics Group of the AIU Jena
+# Data points: 434
+# Wavelength (micron) n k
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+3.833330e+01 2.056770e+00 4.399000e-02
+3.921460e+01 2.040570e+00 3.878400e-02
+4.013730e+01 2.026530e+00 4.137600e-02
+4.110440e+01 2.022860e+00 4.266400e-02
+4.211930e+01 2.016080e+00 3.934400e-02
+4.318570e+01 2.006910e+00 3.670600e-02
+4.430740e+01 1.999880e+00 4.607400e-02
+4.548890e+01 1.998700e+00 4.122600e-02
+4.673510e+01 2.002380e+00 4.646000e-02
+4.805170e+01 1.998580e+00 3.600800e-02
+4.944450e+01 1.998250e+00 2.857000e-02
+5.092040e+01 1.987500e+00 2.583800e-02
+5.248710e+01 1.986670e+00 2.226800e-02
+5.415360e+01 1.979990e+00 1.508200e-02
+5.592900e+01 1.968900e+00 1.261800e-02
+5.782490e+01 1.964530e+00 1.415200e-02
+5.985370e+01 1.959160e+00 9.696000e-03
+6.203010e+01 1.949490e+00 1.157000e-02
+6.437120e+01 1.948110e+00 1.846800e-02
+6.689540e+01 1.951900e+00 1.447600e-02
+6.962580e+01 1.944920e+00 1.078800e-02
+7.258840e+01 1.942640e+00 1.333000e-02
+7.581500e+01 1.944540e+00 1.247800e-02
+7.934110e+01 1.936350e+00 7.104000e-03
+8.321130e+01 1.932230e+00 1.190000e-02
+8.747830e+01 1.932560e+00 1.417600e-02
+9.220750e+01 1.925840e+00 9.836000e-03
+9.747630e+01 1.918560e+00 1.213800e-02
+1.033840e+02 1.920430e+00 1.129600e-02
+1.100540e+02 1.914370e+00 9.522000e-03
+1.176440e+02 1.906030e+00 1.670600e-02
+1.263580e+02 1.918370e+00 2.699600e-02
+1.364670e+02 1.932900e+00 2.508200e-02
+1.483330e+02 1.925420e+00 1.728400e-02
+1.624600e+02 1.919080e+00 1.814600e-02
+1.795620e+02 1.925520e+00 2.293600e-02
+2.006860e+02 1.920920e+00 1.823800e-02
+2.274440e+02 1.903490e+00 1.230400e-02
+2.624360e+02 1.903380e+00 5.020000e-03
+3.101520e+02 1.903270e+00 2.452000e-03
+3.790740e+02 1.903280e+00 1.274000e-03
+4.873820e+02 1.903390e+00 7.580000e-04
+
diff --git a/nk/Soot_Lavvas.txt b/nk/Soot_Lavvas.txt
new file mode 100644
index 0000000..428592c
--- /dev/null
+++ b/nk/Soot_Lavvas.txt
@@ -0,0 +1,80 @@
+74 .True.
+# Refractive index of Soot (Lavvas per. comm.)
+# ref: Aerosol Properties of the Atmospheres of Extrasolar Giant Planets
+# Lavvas, P. ; Koskinen, T. Ap.J., 847:32 (2017)
+# wavelength n k
+ 0.030 0.749 0.093
+ 0.033 0.919 0.095
+ 0.037 0.955 0.121
+ 0.041 0.970 0.160
+ 0.046 0.976 0.205
+ 0.050 0.982 0.245
+ 0.056 1.011 0.257
+ 0.062 1.039 0.249
+ 0.069 1.038 0.232
+ 0.077 1.014 0.239
+ 0.085 0.998 0.279
+ 0.094 1.017 0.339
+ 0.105 1.070 0.376
+ 0.116 1.133 0.374
+ 0.129 1.161 0.344
+ 0.143 1.148 0.313
+ 0.159 1.107 0.309
+ 0.176 1.052 0.341
+ 0.196 0.993 0.387
+ 0.217 0.957 0.479
+ 0.241 0.982 0.625
+ 0.267 1.112 0.661
+ 0.297 1.329 0.637
+ 0.329 1.489 0.589
+ 0.365 1.594 0.539
+ 0.405 1.664 0.498
+ 0.450 1.713 0.473
+ 0.499 1.740 0.450
+ 0.554 1.733 0.418
+ 0.615 1.730 0.408
+ 0.682 1.733 0.411
+ 0.757 1.735 0.425
+ 0.840 1.739 0.445
+ 0.933 1.743 0.470
+ 1.035 1.748 0.503
+ 1.148 1.759 0.537
+ 1.275 1.774 0.573
+ 1.414 1.792 0.612
+ 1.570 1.814 0.656
+ 1.742 1.840 0.704
+ 1.933 1.871 0.758
+ 2.145 1.909 0.821
+ 2.381 1.948 0.882
+ 2.642 1.992 0.942
+ 2.932 2.044 1.004
+ 3.254 2.107 1.065
+ 3.611 2.172 1.124
+ 4.008 2.255 1.174
+ 4.447 2.336 1.229
+ 4.936 2.418 1.294
+ 5.477 2.505 1.362
+ 6.078 2.598 1.419
+ 6.746 2.697 1.475
+ 7.486 2.790 1.527
+ 8.308 2.888 1.579
+ 9.219 2.988 1.639
+10.231 3.085 1.712
+11.354 3.189 1.782
+12.601 3.289 1.854
+13.984 3.392 1.938
+15.518 3.503 2.024
+17.222 3.629 2.120
+19.112 3.752 2.229
+21.210 3.870 2.348
+23.538 3.990 2.477
+26.121 4.115 2.620
+28.988 4.245 2.774
+32.170 4.383 2.938
+35.701 4.531 3.111
+39.619 4.691 3.291
+43.968 4.867 3.479
+48.794 5.063 3.671
+54.149 5.284 3.867
+60.093 5.538 4.063
+
diff --git a/nk/Tholin.txt b/nk/Tholin.txt
new file mode 100644
index 0000000..21b39e2
--- /dev/null
+++ b/nk/Tholin.txt
@@ -0,0 +1,10005 @@
+10000 .False.
+#Refractive index of Titan tholins; Khare et al. (1984) Icarus, Vol. 60:127
+#Data points: 10000
+#
+#wavelength n k
+2.0700000000e-02 9.2000000000e-01 4.9000000000e-02
+2.0722167206e-02 9.1982980525e-01 4.9104648479e-02
+2.0744358151e-02 9.1965950725e-01 4.9209896096e-02
+2.0766572860e-02 9.1948910616e-01 4.9315743795e-02
+2.0788811358e-02 9.1931860215e-01 4.9422192518e-02
+2.0811073671e-02 9.1914799537e-01 4.9529243205e-02
+2.0833359824e-02 9.1897728599e-01 4.9636896797e-02
+2.0855669842e-02 9.1880647418e-01 4.9745154235e-02
+2.0878003752e-02 9.1863556010e-01 4.9854016456e-02
+2.0900361579e-02 9.1846454392e-01 4.9963484399e-02
+2.0922743349e-02 9.1829342581e-01 5.0073559002e-02
+2.0945149087e-02 9.1812220593e-01 5.0184241201e-02
+2.0967578818e-02 9.1795088446e-01 5.0295531931e-02
+2.0990032569e-02 9.1777946157e-01 5.0407432129e-02
+2.1012510366e-02 9.1760793743e-01 5.0519942726e-02
+2.1035012233e-02 9.1743631221e-01 5.0633064658e-02
+2.1057538197e-02 9.1726458610e-01 5.0746798855e-02
+2.1080088284e-02 9.1709275926e-01 5.0861146249e-02
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+2.1170530374e-02 9.1640444825e-01 5.1324686395e-02
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diff --git a/nk/Tholin_CG22_0.625.txt b/nk/Tholin_CG22_0.625.txt
new file mode 100644
index 0000000..6c11af1
--- /dev/null
+++ b/nk/Tholin_CG22_0.625.txt
@@ -0,0 +1,975 @@
+969 .False.
+# Tholin optical constants at C/O = 0.625
+# ref: Photochemical Hazes Can Trace the C/O Ratio in Exoplanet Atmospheres
+# Corrales Lía, Gavilan Lisseth, Teal D. J., Kempton Eliza M. -R.
+# wavelength n k
+0.13 0.1810000000000016 0.7639999999999999
+0.131 0.714899766899768 0.7698554778554778
+0.132 0.8377156177156179 0.7754125874125873
+0.133 0.9375524475524475 0.7808344988344986
+0.134 0.9675151515151516 0.7868710178710177
+0.135 1.0166153846153845 0.7897505827505826
+0.136 1.0432960372960371 0.7935058275058274
+0.137 1.0665594405594403 0.7974568764568765
+0.138 1.100960372960373 0.8007668997668999
+0.139 1.1337902097902095 0.807095571095571
+0.14 1.1447148407148404 0.8139393939393939
+0.141 1.164111888111888 0.8201724941724939
+0.142 1.1826013986013983 0.8287715617715614
+0.143 1.1845780885780886 0.8324825174825173
+0.144 1.2049930069930066 0.8371631701631699
+0.145 1.213423465423465 0.8437972027972026
+0.146 1.2218181818181817 0.8525897435897434
+0.147 1.2357086247086244 0.8593892773892771
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+9.991 3.2040000000000006 1.653
+
diff --git a/nk/Tholin_CG22_1.0.txt b/nk/Tholin_CG22_1.0.txt
new file mode 100644
index 0000000..4199729
--- /dev/null
+++ b/nk/Tholin_CG22_1.0.txt
@@ -0,0 +1,975 @@
+969 .False.
+# Tholin optical constants at C/O = 1.0
+# ref: Photochemical Hazes Can Trace the C/O Ratio in Exoplanet Atmospheres
+# Corrales Lía, Gavilan Lisseth, Teal D. J., Kempton Eliza M. -R.
+# wavelength n k
+0.13 1.2730000000000006 0.3198041958041957
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+9.776 1.8867995337995331 0.20186713286713295
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+9.948 1.9152703962703959 0.28302097902097906
+9.991 1.9349999999999998 0.30300000000000005
+
diff --git a/nk/Tholin_CG22_inf.txt b/nk/Tholin_CG22_inf.txt
new file mode 100644
index 0000000..5364786
--- /dev/null
+++ b/nk/Tholin_CG22_inf.txt
@@ -0,0 +1,975 @@
+969 .False.
+# Tholin optical constants at C/O = infinity
+# ref: Photochemical Hazes Can Trace the C/O Ratio in Exoplanet Atmospheres
+# Corrales Lía, Gavilan Lisseth, Teal D. J., Kempton Eliza M. -R.
+# wavelength n k
+0.13 1.1060000000000008 0.3354708624708624
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+0.136 1.5412354312354313 0.2789347319347318
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+0.143 1.6190722610722608 0.21344055944055937
+0.144 1.6242284382284375 0.20806993006992996
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+0.15 1.6384708624708622 0.1714770784770784
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+0.152 1.6399261849261846 0.16529137529137525
+0.153 1.6414778554778553 0.16221445221445216
+0.154 1.6428181818181815 0.15950582750582745
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+0.158 1.6454778554778553 0.15038850038850032
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+0.175 1.6637762237762235 0.1265524475524475
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+0.18 1.6652610722610717 0.11741258741258735
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+0.182 1.665477855477855 0.11510256410256406
+0.183 1.6654638694638693 0.11300699300699299
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+0.185 1.6657226107226104 0.11095571095571093
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+0.211 1.662666666666666 0.10434054834054832
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+
diff --git a/nk/Tholin_He22.txt b/nk/Tholin_He22.txt
new file mode 100644
index 0000000..a36e556
--- /dev/null
+++ b/nk/Tholin_He22.txt
@@ -0,0 +1,6954 @@
+6948 .False.
+# Refractive index of Titan Tholins
+# ref: Optical Constants of Titan Haze Analogue from 0.4 to 3.5 microns: Determined Using Vacuum Spectroscopy
+# He C., Horst S.M., Radke M., Yant M.
+# wavelength n k
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+
diff --git a/nk/Tholin_He23_300.txt b/nk/Tholin_He23_300.txt
new file mode 100644
index 0000000..021cd35
--- /dev/null
+++ b/nk/Tholin_He23_300.txt
@@ -0,0 +1,2825 @@
+2819 .False.
+# Water rich atmosphere tholin haze optical constants @ T = 300 K
+# ref: Optical properties of organic hazes in water-rich exoplanet atmospheres: Implications for observations with JWST
+# He, Chao; Radke, Michael; Moran, Sarah E.; Hörst, Sarah M.; Lewis, Nikole K.; Moses, Julianne I.; Marley, Mark S.; Kempton, Eliza M.-R.; Morley, Caroline V.; Valenti, Jeff A.; Vuitton, Véronique
+# wavelength n k
+4.10008000e-01 1.76552673e+00 7.15922442e-03
+4.20008000e-01 1.73882846e+00 1.19117736e-02
+4.30008000e-01 1.71954049e+00 1.18503521e-02
+4.40008000e-01 1.70585606e+00 1.15039967e-02
+4.50008000e-01 1.69341873e+00 1.12015222e-02
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+4.70008000e-01 1.67192506e+00 1.04965648e-02
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+4.90008000e-01 1.65493876e+00 9.69366515e-03
+5.00008000e-01 1.64809445e+00 9.31829346e-03
+5.10008000e-01 1.64205481e+00 8.96306441e-03
+5.20008000e-01 1.63667707e+00 8.64832564e-03
+5.30008000e-01 1.63185152e+00 8.36769802e-03
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+5.50008000e-01 1.62355176e+00 7.91431749e-03
+5.60008000e-01 1.61996525e+00 7.72451065e-03
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+5.80008000e-01 1.61367555e+00 7.39918061e-03
+5.90008000e-01 1.61090377e+00 7.25801966e-03
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+6.10008000e-01 1.60596931e+00 7.01177415e-03
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+
diff --git a/nk/Tholin_He23_400.txt b/nk/Tholin_He23_400.txt
new file mode 100644
index 0000000..35cc06e
--- /dev/null
+++ b/nk/Tholin_He23_400.txt
@@ -0,0 +1,2825 @@
+2819 .False.
+# Water rich atmosphere tholin haze optical constants @ T = 400 K
+# ref: Optical properties of organic hazes in water-rich exoplanet atmospheres: Implications for observations with JWST
+# He, Chao; Radke, Michael; Moran, Sarah E.; Hörst, Sarah M.; Lewis, Nikole K.; Moses, Julianne I.; Marley, Mark S.; Kempton, Eliza M.-R.; Morley, Caroline V.; Valenti, Jeff A.; Vuitton, Véronique
+# wavelength n k
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+2.84700080e+01 1.60895363e+00 5.91460206e-02
+2.84800080e+01 1.60836050e+00 5.92059290e-02
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+2.85100080e+01 1.60797004e+00 5.91963979e-02
+2.85200080e+01 1.60762130e+00 5.91878850e-02
+2.85300080e+01 1.60762130e+00 5.91878850e-02
+2.85400080e+01 1.60762130e+00 5.91878850e-02
+2.85500080e+01 1.60737978e+00 5.91284764e-02
+2.85600080e+01 1.60722140e+00 5.90895190e-02
+2.85700080e+01 1.60722140e+00 5.90895190e-02
+2.85800080e+01 1.60722140e+00 5.90895190e-02
+2.85900080e+01 1.60679840e+00 5.90587679e-02
+
diff --git a/nk/TiC.txt b/nk/TiC.txt
new file mode 100644
index 0000000..a8fd905
--- /dev/null
+++ b/nk/TiC.txt
@@ -0,0 +1,142 @@
+137 .False.
+#Refractive index of TiC[s]; Koide et al 1990, Phys Rev B, 42,4979; Henning & Mutschke 2001, Spec. Acta Part A57, 815
+#Data points: 137
+#
+#Wavelength (micron) n k
+1.549802e-02 9.220000e-01 2.910000e-02
+1.653122e-02 9.120000e-01 2.680000e-02
+1.771203e-02 8.950000e-01 2.740000e-02
+1.907449e-02 8.690000e-01 3.370000e-02
+2.066403e-02 8.310000e-01 4.950000e-02
+2.254258e-02 7.740000e-01 1.090000e-01
+2.479684e-02 7.690000e-01 2.220000e-01
+2.755204e-02 8.450000e-01 3.410000e-01
+3.099605e-02 9.630000e-01 2.320000e-01
+3.262742e-02 9.830000e-01 2.530000e-01
+3.444005e-02 9.760000e-01 2.110000e-01
+3.646594e-02 9.580000e-01 1.750000e-01
+3.874506e-02 8.990000e-01 1.560000e-01
+4.132806e-02 8.160000e-01 1.690000e-01
+4.428007e-02 7.540000e-01 2.110000e-01
+4.768623e-02 6.900000e-01 2.850000e-01
+5.166008e-02 6.200000e-01 3.860000e-01
+5.635645e-02 5.780000e-01 5.780000e-01
+6.199209e-02 6.730000e-01 7.740000e-01
+6.525484e-02 7.480000e-01 8.350000e-01
+6.888010e-02 8.100000e-01 8.660000e-01
+7.293187e-02 8.530000e-01 8.940000e-01
+7.749012e-02 8.650000e-01 9.430000e-01
+8.265612e-02 8.960000e-01 1.060000e+00
+8.856013e-02 1.090000e+00 1.160000e+00
+9.537245e-02 1.270000e+00 1.060000e+00
+1.033202e-01 1.220000e+00 8.540000e-01
+1.127129e-01 9.150000e-01 9.220000e-01
+1.239842e-01 9.340000e-01 1.330000e+00
+1.305097e-01 1.110000e+00 1.440000e+00
+1.377602e-01 1.180000e+00 1.400000e+00
+1.458637e-01 1.150000e+00 1.410000e+00
+1.549802e-01 1.090000e+00 1.540000e+00
+1.653122e-01 1.140000e+00 1.840000e+00
+1.771203e-01 1.480000e+00 1.940000e+00
+1.907449e-01 1.500000e+00 1.930000e+00
+2.066403e-01 1.610000e+00 2.110000e+00
+2.254258e-01 1.940000e+00 2.300000e+00
+2.479684e-01 2.190000e+00 2.140000e+00
+2.755204e-01 2.290000e+00 2.140000e+00
+3.099605e-01 2.400000e+00 2.160000e+00
+3.542405e-01 2.540000e+00 2.300000e+00
+4.047376e-01 2.908268e+00 2.321226e+00
+4.359289e-01 3.039839e+00 2.313900e+00
+4.695037e-01 3.140815e+00 2.299575e+00
+4.836069e-01 3.165723e+00 2.293264e+00
+5.056775e-01 3.216250e+00 2.315540e+00
+5.528760e-01 3.316148e+00 2.323989e+00
+6.133666e-01 3.422758e+00 2.358044e+00
+6.907403e-01 3.522035e+00 2.395273e+00
+7.663339e-01 3.591462e+00 2.464770e+00
+8.015526e-01 3.617278e+00 2.508695e+00
+8.504057e-01 3.655391e+00 2.581414e+00
+8.893525e-01 3.712066e+00 2.661381e+00
+9.437118e-01 3.785569e+00 2.717146e+00
+9.867201e-01 3.847611e+00 2.778238e+00
+1.047053e+00 3.906603e+00 2.818968e+00
+1.111297e+00 3.959079e+00 2.910110e+00
+1.145075e+00 4.007288e+00 2.969063e+00
+1.179492e+00 4.050718e+00 2.994068e+00
+1.233562e+00 4.104288e+00 3.054184e+00
+1.270161e+00 4.156604e+00 3.103637e+00
+1.308998e+00 4.201470e+00 3.117541e+00
+1.389121e+00 4.241419e+00 3.172098e+00
+1.431344e+00 4.276191e+00 3.242421e+00
+1.473904e+00 4.314105e+00 3.273199e+00
+1.541447e+00 4.370608e+00 3.340978e+00
+1.611333e+00 4.394240e+00 3.376697e+00
+1.659602e+00 4.419880e+00 3.454300e+00
+1.736082e+00 4.465061e+00 3.515097e+00
+1.788840e+00 4.482943e+00 3.568463e+00
+1.843100e+00 4.515623e+00 3.634159e+00
+1.955209e+00 4.529058e+00 3.704522e+00
+2.014167e+00 4.515665e+00 3.794461e+00
+2.044333e+00 4.498047e+00 3.840827e+00
+2.075189e+00 4.529625e+00 3.955238e+00
+2.169852e+00 4.617759e+00 4.021139e+00
+2.235254e+00 4.640314e+00 4.095917e+00
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+2.753067e+00 4.763739e+00 4.811956e+00
+3.010466e+00 4.907968e+00 5.198664e+00
+3.101167e+00 4.939843e+00 5.277049e+00
+3.195333e+00 4.960647e+00 5.453656e+00
+3.546025e+00 5.173990e+00 5.960952e+00
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+3.934925e+00 5.434978e+00 6.521422e+00
+4.238633e+00 5.648731e+00 6.821806e+00
+4.634962e+00 5.859720e+00 7.346693e+00
+4.846022e+00 6.005051e+00 7.595112e+00
+5.458269e+00 6.415223e+00 8.305428e+00
+5.792278e+00 6.636812e+00 8.626433e+00
+6.333721e+00 6.950442e+00 9.201751e+00
+6.822342e+00 7.250358e+00 9.692820e+00
+7.796559e+00 7.830930e+00 1.063076e+01
+8.652497e+00 8.358120e+00 1.144284e+01
+9.887920e+00 9.048192e+00 1.233410e+01
+1.065412e+01 9.346006e+00 1.303376e+01
+1.164903e+01 9.904273e+00 1.398278e+01
+1.273596e+01 1.054310e+01 1.467273e+01
+1.331200e+01 1.076358e+01 1.515268e+01
+1.413090e+01 1.123163e+01 1.585928e+01
+1.498527e+01 1.170756e+01 1.625569e+01
+1.639381e+01 1.210791e+01 1.727405e+01
+1.739288e+01 1.248802e+01 1.839585e+01
+1.901331e+01 1.416595e+01 2.016596e+01
+1.987600e+01 1.507966e+01 1.922924e+01
+2.140996e+01 1.497458e+01 2.025709e+01
+2.340518e+01 1.578428e+01 2.147272e+01
+2.558610e+01 1.663332e+01 2.259346e+01
+2.881078e+01 1.791935e+01 2.471177e+01
+3.012392e+01 1.874585e+01 2.552523e+01
+3.196417e+01 1.965470e+01 2.579363e+01
+3.494710e+01 2.066529e+01 2.764713e+01
+3.707970e+01 2.149240e+01 2.787867e+01
+3.934925e+01 2.215270e+01 2.988576e+01
+4.237680e+01 2.357502e+01 2.988135e+01
+4.565314e+01 2.369017e+01 3.200313e+01
+4.772355e+01 2.469675e+01 3.419161e+01
+5.140963e+01 2.745816e+01 3.498673e+01
+5.619477e+01 2.927410e+01 3.595615e+01
+6.141665e+01 3.066255e+01 3.744848e+01
+6.422259e+01 3.168965e+01 3.896533e+01
+7.124239e+01 3.362886e+01 3.931991e+01
+7.672703e+01 3.378154e+01 4.234440e+01
+8.022354e+01 3.502747e+01 4.514389e+01
+8.769314e+01 3.951294e+01 4.806241e+01
+9.170636e+01 4.148702e+01 4.841028e+01
+9.877550e+01 4.429695e+01 5.109817e+01
+1.017638e+02 4.736954e+01 5.407097e+01
+1.095782e+02 5.442930e+01 4.868801e+01
+1.145772e+02 5.352000e+01 4.479034e+01
+1.290170e+02 4.931098e+01 4.534174e+01
+1.389121e+02 4.741115e+01 5.144908e+01
+1.496147e+02 5.300274e+01 6.263200e+01
+1.736082e+02 5.736967e+01 5.130199e+01
+2.074275e+02 5.925973e+01 7.902776e+01
diff --git a/nk/TiO2.txt b/nk/TiO2.txt
new file mode 100644
index 0000000..8b4ce99
--- /dev/null
+++ b/nk/TiO2.txt
@@ -0,0 +1,2131 @@
+2125 .False. # Number of lines, conductive flag
+# 5 line header for n-k original data
+# Rutile TiO2 - Ribarsky (1985), Zeidler et al. (2011) - (Crystalline)
+# Taken from: http://www.astro.uni-jena.de/Laboratory/OCDB/tioxides.html
+# wl(um) n k
+0.4662 2.7770387570599646 0.00155
+0.4706 2.7684373097513912 0.00157
+0.475 2.7599095368326845 0.00153
+0.47939 2.751221434860685 0.00148
+0.48379 2.742333422505223 0.00132
+0.48819 2.733265085517029 0.00121
+0.49259 2.724148353410298 0.00111
+0.49698 2.7155672652373934 0.00102
+0.50138 2.7075471589017464 0.000967568
+0.50578 2.7001082417434916 0.000922769
+0.51018 2.6932505003745275 0.000868047
+0.51458 2.6869653072370903 0.000813379
+0.51897 2.681257662874952 0.000758527
+0.52337 2.6761015643525203 0.000705209
+0.52777 2.671510655398465 0.000661829
+0.53217 2.667403999829234 0.000614065
+0.53656 2.6632919722789006 0.000569872
+0.54096 2.6590703653430503 0.000530049
+0.54536 2.6547484318195513 0.000493017
+0.54976 2.6503261717084037 0.000462955
+0.55416 2.645864859234091 0.000432364
+0.55856 2.6414401127720213 0.000403578
+0.56295 2.637062067252263 0.000378386
+0.56735 2.6327107771371407 0.000355098
+0.57175 2.6283838343093504 0.000336423
+0.57615 2.623965084267415 0.000317395
+0.58054 2.619436493461395 0.000299974
+0.58494 2.6147774304980964 0.000284563
+0.58934 2.609998074377346 0.000271064
+0.59374 2.605389333273898 0.00026028
+0.59813 2.6014646833140684 0.000248577
+0.60253 2.5982153039677263 0.00023891
+0.60693 2.595650913608578 0.00023017
+0.61133 2.5937348445772765 0.000222621
+0.61573 2.5918965042316637 0.000216143
+0.62013 2.5899405231203407 0.000209784
+0.62452 2.5878717473991664 0.000204214
+0.62892 2.585680752121802 0.000199775
+0.63332 2.5834115417610435 0.000195323
+0.63772 2.5811590149471924 0.00019231
+0.64211 2.5789323920747296 0.00018805
+0.64651 2.5767215290758982 0.000185267
+0.65091 2.5745309153985056 0.000182605
+0.65531 2.572341726390071 0.000181397
+0.65971 2.570145044504968 0.000178725
+0.6641 2.5679458877265704 0.000177818
+0.6685 2.5657342371173932 0.00017574
+0.6729 2.563521955976436 0.000174785
+0.6773 2.5613319405459825 0.000173894
+0.6817 2.5591660267684824 0.000173573
+0.68609 2.5570290550727677 0.000172657
+0.69049 2.5549102901188943 0.000171751
+0.69489 2.5527180632767545 0.000170777
+0.69929 2.550388719393564 0.000170143
+0.70369 2.5479222584693244 0.000169726
+0.70808 2.5453247531873773 0.00016949
+0.71248 2.542733001983676 0.000169035
+0.71688 2.5408507648679657 0.00016882
+0.72128 2.5397671283456016 0.000169355
+0.72567 2.539481834787342 0.000169428
+0.73007 2.5399933843644025 0.000168736
+0.73447 2.5404880374059355 0.000169163
+0.73887 2.540200203928436 0.00016875
+0.74327 2.5391298839319036 0.000168934
+0.74766 2.5372821755085786 0.000169332
+0.75206 2.5347370843510704 0.000169468
+0.75646 2.532102217146323 0.000170168
+0.76086 2.529491668462426 0.000169518
+0.76526 2.526905438299379 0.000170677
+0.76965 2.524349321611764 0.000169868
+0.77405 2.5220710364276826 0.000169124
+0.77845 2.5204273896161773 0.000170377
+0.78285 2.519420318198606 0.000170584
+0.78724 2.5190499424743047 0.000170916
+0.79164 2.519272317640443 0.000172612
+0.79604 2.5196426052540035 0.000172226
+0.80044 2.5200411219831107 0.000168558
+0.80484 2.5204678678277643 0.000170323
+0.80923 2.5209217767483296 0.000169067
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diff --git a/nk/TiO2_anatase.txt b/nk/TiO2_anatase.txt
new file mode 100644
index 0000000..e428311
--- /dev/null
+++ b/nk/TiO2_anatase.txt
@@ -0,0 +1,7350 @@
+7344 .False. # Number of lines, conductive flag
+# 5 line header for n-k original data
+#Refractive index of (anatase) TiO2[s]; Zeidler et al. (2011), A&A 526:A68; Posch et al. (2003), Ap&SS, 149:437; Siefke et al. (2016), Adv. Opt. Mater. 4:1780; Database of Optical Constants for Cosmic Dust, Laboratory Astrophysics Group of the AIU Jena
+#Data points: 7344
+#Wavelength (micron) n k
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+4.980987e+03 6.016418e+00 1.375510e-03
+5.000911e+03 6.016417e+00 1.367570e-03
+5.020914e+03 6.016416e+00 1.364837e-03
+5.040997e+03 6.016416e+00 1.362097e-03
+5.061161e+03 6.016415e+00 1.359348e-03
+5.081405e+03 6.016415e+00 1.356581e-03
+5.101730e+03 6.016415e+00 1.353804e-03
+5.122137e+03 6.016414e+00 1.351024e-03
+5.142626e+03 6.016414e+00 1.348227e-03
+5.163195e+03 6.016413e+00 1.345421e-03
+5.183848e+03 6.016413e+00 1.342597e-03
+5.204583e+03 6.016413e+00 1.339768e-03
+5.225401e+03 6.016413e+00 1.336924e-03
+5.246303e+03 6.016412e+00 1.334071e-03
+5.267287e+03 6.016412e+00 1.331212e-03
+5.288356e+03 6.016411e+00 1.328331e-03
+5.309510e+03 6.016411e+00 1.325445e-03
+5.330746e+03 6.016411e+00 1.322545e-03
+5.352069e+03 6.016410e+00 1.319639e-03
+5.373477e+03 6.016410e+00 1.316716e-03
+5.394971e+03 6.016409e+00 1.313776e-03
+5.416550e+03 6.016409e+00 1.310833e-03
+5.438216e+03 6.016409e+00 1.307874e-03
+5.459969e+03 6.016408e+00 1.304904e-03
+5.481809e+03 6.016408e+00 1.301924e-03
+5.503735e+03 6.016407e+00 1.298934e-03
+5.525749e+03 6.016407e+00 1.295928e-03
+5.547852e+03 6.016406e+00 1.292908e-03
+5.570043e+03 6.016406e+00 1.289879e-03
+5.592322e+03 6.016406e+00 1.286842e-03
+5.614691e+03 6.016405e+00 1.283786e-03
+5.637150e+03 6.016405e+00 1.280720e-03
+5.659699e+03 6.016404e+00 1.277644e-03
+5.682337e+03 6.016404e+00 1.274557e-03
+5.705065e+03 6.016403e+00 1.271451e-03
+5.727886e+03 6.016403e+00 1.268338e-03
+5.750797e+03 6.016402e+00 1.265213e-03
+5.773800e+03 6.016402e+00 1.262070e-03
+5.796894e+03 6.016402e+00 1.258917e-03
+5.820081e+03 6.016401e+00 1.255754e-03
+5.843361e+03 6.016401e+00 1.252574e-03
+
diff --git a/nk/VO.txt b/nk/VO.txt
new file mode 100644
index 0000000..201e889
--- /dev/null
+++ b/nk/VO.txt
@@ -0,0 +1,448 @@
+443 .False. # Number of lines, conductive flag
+# 5 line header for n-k original data
+# Thin film VO2[s] (proxy for VO[s]) - Wan et al. (2019) - Sample 2, non-conducting
+# Taken from: https://onlinelibrary.wiley.com/doi/epdf/10.1002/andp.201900188
+# wl(um) n k
+0.3 1.47 1.01
+0.31 1.49 1.05
+0.32 1.53 1.08
+0.33 1.59 1.11
+0.34 1.65 1.12
+0.35 1.7 1.13
+0.36 1.76 1.12
+0.37 1.8 1.11
+0.38 1.84 1.11
+0.39 1.88 1.1
+0.4 1.92 1.1
+0.41 1.96 1.09
+0.42 2.0 1.07
+0.43 2.03 1.05
+0.44 2.05 1.03
+0.45 2.07 1.0
+0.46 2.08 0.98
+0.47 2.08 0.97
+0.48 2.08 0.97
+0.49 2.08 0.97
+0.5 2.09 0.97
+0.51 2.1 0.98
+0.52 2.12 0.99
+0.53 2.14 1.0
+0.54 2.16 1.0
+0.55 2.19 1.0
+0.56 2.21 1.0
+0.57 2.24 1.0
+0.58 2.27 0.99
+0.59 2.29 0.97
+0.6 2.31 0.96
+0.61 2.33 0.94
+0.62 2.34 0.93
+0.63 2.35 0.91
+0.64 2.36 0.89
+0.65 2.37 0.88
+0.66 2.37 0.86
+0.67 2.38 0.85
+0.68 2.38 0.83
+0.69 2.38 0.82
+0.7 2.38 0.82
+0.71 2.38 0.81
+0.72 2.37 0.8
+0.73 2.37 0.8
+0.74 2.37 0.8
+0.75 2.37 0.79
+0.76 2.37 0.79
+0.77 2.37 0.8
+0.78 2.37 0.8
+0.79 2.37 0.8
+0.8 2.37 0.8
+0.81 2.37 0.81
+0.82 2.37 0.81
+0.83 2.38 0.82
+0.84 2.38 0.82
+0.85 2.38 0.83
+0.86 2.39 0.83
+0.87 2.4 0.84
+0.88 2.4 0.84
+0.89 2.41 0.84
+0.9 2.42 0.85
+0.91 2.43 0.85
+0.92 2.43 0.86
+0.93 2.44 0.86
+0.94 2.45 0.86
+0.95 2.46 0.87
+0.96 2.47 0.87
+0.97 2.48 0.87
+0.98 2.49 0.87
+0.99 2.5 0.88
+1.0 2.51 0.88
+1.01 2.52 0.88
+1.02 2.53 0.88
+1.03 2.54 0.88
+1.04 2.55 0.88
+1.05 2.56 0.88
+1.06 2.57 0.89
+1.07 2.58 0.89
+1.08 2.59 0.89
+1.09 2.6 0.89
+1.1 2.61 0.89
+1.11 2.62 0.89
+1.12 2.63 0.89
+1.13 2.64 0.89
+1.14 2.66 0.89
+1.15 2.67 0.89
+1.16 2.68 0.89
+1.17 2.69 0.88
+1.18 2.7 0.88
+1.19 2.72 0.88
+1.2 2.73 0.88
+1.21 2.74 0.87
+1.22 2.75 0.87
+1.23 2.77 0.87
+1.24 2.78 0.86
+1.25 2.79 0.86
+1.26 2.8 0.85
+1.27 2.81 0.85
+1.28 2.83 0.84
+1.29 2.84 0.83
+1.3 2.85 0.83
+1.31 2.86 0.82
+1.32 2.87 0.81
+1.33 2.88 0.81
+1.34 2.89 0.8
+1.43 2.96 0.72
+1.44 2.97 0.71
+1.45 2.97 0.7
+1.46 2.98 0.69
+1.47 2.98 0.68
+1.48 2.98 0.67
+1.49 2.99 0.66
+1.5 2.99 0.65
+1.51 3.0 0.64
+1.52 3.0 0.63
+1.53 3.0 0.62
+1.54 3.0 0.61
+1.55 3.01 0.61
+1.56 3.01 0.6
+1.57 3.01 0.59
+1.58 3.01 0.58
+1.59 3.01 0.57
+1.6 3.02 0.56
+1.61 3.02 0.56
+1.62 3.02 0.55
+1.63 3.02 0.54
+1.64 3.02 0.53
+1.65 3.02 0.53
+1.66 3.02 0.52
+1.67 3.02 0.51
+1.68 3.02 0.51
+1.69 3.02 0.5
+1.7 3.02 0.49
+1.71 3.02 0.49
+1.72 3.02 0.48
+1.73 3.02 0.48
+1.74 3.02 0.47
+1.75 3.02 0.46
+1.76 3.02 0.46
+1.77 3.02 0.45
+1.78 3.02 0.45
+1.79 3.02 0.44
+1.8 3.02 0.44
+1.81 3.02 0.43
+1.82 3.02 0.43
+1.83 3.02 0.42
+1.84 3.02 0.42
+1.85 3.02 0.41
+1.86 3.02 0.41
+1.87 3.01 0.4
+1.88 3.01 0.4
+1.89 3.01 0.4
+1.9 3.01 0.39
+1.91 3.01 0.39
+1.92 3.01 0.38
+1.93 3.01 0.38
+1.94 3.01 0.38
+1.95 3.01 0.37
+1.96 3.01 0.37
+1.97 3.01 0.36
+1.98 3.01 0.36
+1.99 3.0 0.36
+2.0 3.0 0.35
+2.1 2.99 0.31
+2.2 2.98 0.29
+2.3 2.97 0.27
+2.4 2.96 0.25
+2.5 2.95 0.24
+2.6 2.94 0.22
+2.7 2.93 0.21
+2.8 2.92 0.2
+2.9 2.91 0.19
+3.0 2.91 0.18
+3.1 2.9 0.17
+3.2 2.89 0.17
+3.3 2.88 0.16
+3.4 2.87 0.15
+3.5 2.87 0.15
+3.6 2.86 0.14
+3.7 2.85 0.14
+3.8 2.85 0.14
+3.9 2.84 0.13
+4.0 2.84 0.13
+4.1 2.83 0.13
+4.2 2.82 0.12
+4.3 2.82 0.12
+4.4 2.81 0.12
+4.5 2.81 0.12
+4.6 2.8 0.11
+4.7 2.8 0.11
+4.8 2.79 0.11
+4.9 2.79 0.11
+5.0 2.78 0.11
+5.1 2.77 0.1
+5.2 2.77 0.1
+5.3 2.76 0.1
+5.4 2.76 0.1
+5.5 2.75 0.1
+5.6 2.75 0.1
+5.7 2.74 0.1
+5.8 2.74 0.1
+5.9 2.73 0.1
+6.0 2.72 0.09
+6.1 2.72 0.09
+6.2 2.71 0.09
+6.3 2.71 0.09
+6.4 2.7 0.09
+6.5 2.69 0.09
+6.6 2.69 0.09
+6.7 2.68 0.09
+6.8 2.67 0.09
+6.9 2.67 0.09
+7.0 2.66 0.09
+7.1 2.65 0.09
+7.2 2.65 0.09
+7.3 2.64 0.09
+7.4 2.63 0.09
+7.5 2.63 0.09
+7.6 2.62 0.09
+7.7 2.61 0.09
+7.8 2.6 0.09
+7.9 2.59 0.09
+8.0 2.58 0.09
+8.1 2.58 0.09
+8.2 2.57 0.09
+8.3 2.56 0.1
+8.4 2.55 0.1
+8.5 2.54 0.1
+8.6 2.53 0.1
+8.7 2.52 0.1
+8.8 2.51 0.1
+8.9 2.5 0.1
+9.0 2.49 0.1
+9.1 2.48 0.11
+9.2 2.46 0.11
+9.3 2.45 0.11
+9.4 2.44 0.11
+9.5 2.43 0.12
+9.6 2.41 0.12
+9.7 2.4 0.12
+9.8 2.39 0.12
+9.9 2.37 0.13
+10.0 2.36 0.13
+10.1 2.34 0.13
+10.2 2.32 0.14
+10.3 2.31 0.14
+10.4 2.29 0.15
+10.5 2.27 0.15
+10.6 2.25 0.16
+10.7 2.23 0.17
+10.8 2.21 0.17
+10.9 2.19 0.18
+11.0 2.17 0.19
+11.1 2.15 0.2
+11.2 2.13 0.21
+11.3 2.1 0.22
+11.4 2.08 0.23
+11.5 2.05 0.24
+11.6 2.03 0.26
+11.7 2.0 0.27
+11.8 1.97 0.29
+11.9 1.94 0.31
+12.0 1.91 0.33
+12.1 1.88 0.35
+12.2 1.84 0.38
+12.3 1.81 0.41
+12.4 1.78 0.44
+12.5 1.74 0.48
+12.6 1.71 0.52
+12.7 1.68 0.56
+12.8 1.64 0.61
+12.9 1.62 0.67
+13.0 1.59 0.72
+13.1 1.56 0.79
+13.2 1.55 0.85
+13.3 1.53 0.92
+13.4 1.52 1.0
+13.5 1.52 1.07
+13.6 1.53 1.15
+13.7 1.54 1.22
+13.8 1.55 1.3
+13.9 1.57 1.37
+14.0 1.6 1.44
+14.1 1.63 1.51
+14.2 1.66 1.57
+14.3 1.7 1.63
+14.4 1.74 1.69
+14.5 1.78 1.75
+14.6 1.81 1.81
+14.7 1.85 1.87
+14.8 1.89 1.93
+14.9 1.94 2.0
+15.0 1.99 2.07
+15.1 2.06 2.15
+15.2 2.14 2.23
+15.3 2.24 2.3
+15.4 2.36 2.35
+15.5 2.49 2.37
+15.6 2.61 2.37
+15.7 2.7 2.36
+15.8 2.78 2.35
+15.9 2.85 2.37
+16.0 2.95 2.4
+16.1 3.08 2.44
+16.2 3.26 2.46
+16.3 3.48 2.41
+16.4 3.68 2.29
+16.5 3.84 2.1
+16.6 3.93 1.88
+16.7 3.96 1.67
+16.8 3.93 1.48
+16.9 3.87 1.31
+17.0 3.8 1.19
+17.1 3.71 1.08
+17.2 3.63 1.0
+17.3 3.54 0.94
+17.4 3.45 0.89
+17.5 3.37 0.86
+17.6 3.29 0.84
+17.7 3.21 0.82
+17.8 3.13 0.82
+17.9 3.06 0.82
+18.0 2.99 0.83
+18.1 2.91 0.85
+18.2 2.84 0.88
+18.3 2.78 0.92
+18.4 2.71 0.97
+18.5 2.65 1.03
+18.6 2.6 1.1
+18.7 2.56 1.19
+18.8 2.54 1.29
+18.9 2.53 1.4
+19.0 2.55 1.51
+19.1 2.59 1.63
+19.2 2.67 1.74
+19.3 2.78 1.84
+19.4 2.91 1.9
+19.5 3.06 1.93
+19.6 3.21 1.92
+19.7 3.36 1.87
+19.8 3.48 1.78
+19.9 3.56 1.68
+20.0 3.62 1.56
+20.1 3.64 1.44
+20.2 3.64 1.33
+20.3 3.62 1.23
+20.4 3.58 1.15
+20.5 3.54 1.08
+20.6 3.49 1.03
+20.7 3.44 0.98
+20.8 3.38 0.94
+20.9 3.33 0.92
+21.0 3.28 0.9
+21.1 3.22 0.88
+21.2 3.17 0.87
+21.3 3.12 0.87
+21.4 3.08 0.87
+21.5 3.03 0.88
+21.6 2.98 0.89
+21.7 2.94 0.9
+21.8 2.9 0.91
+21.9 2.86 0.93
+22.0 2.82 0.95
+22.1 2.78 0.98
+22.2 2.74 1.0
+22.3 2.71 1.03
+22.4 2.68 1.07
+22.5 2.64 1.1
+22.6 2.62 1.14
+22.7 2.59 1.18
+22.8 2.56 1.23
+22.9 2.54 1.27
+23.0 2.52 1.32
+23.1 2.51 1.38
+23.2 2.5 1.43
+23.3 2.49 1.49
+23.4 2.49 1.55
+23.5 2.5 1.62
+23.6 2.51 1.68
+23.7 2.54 1.74
+23.8 2.57 1.8
+23.9 2.61 1.86
+24.0 2.65 1.91
+24.1 2.7 1.95
+24.2 2.76 1.99
+24.3 2.83 2.02
+24.4 2.89 2.03
+24.5 2.96 2.03
+24.6 3.02 2.02
+24.7 3.08 2.0
+24.8 3.12 1.98
+24.9 3.16 1.94
+25.0 3.19 1.9
+25.1 3.21 1.85
+25.2 3.22 1.81
+25.3 3.22 1.77
+25.4 3.2 1.73
+25.5 3.18 1.69
+25.6 3.15 1.66
+25.7 3.12 1.63
+25.8 3.08 1.62
+25.9 3.03 1.6
+26.0 2.99 1.6
+26.1 2.94 1.6
+26.2 2.88 1.61
+26.3 2.83 1.63
+26.4 2.77 1.65
+26.5 2.72 1.69
+26.6 2.67 1.73
+26.7 2.61 1.77
+26.8 2.56 1.83
+26.9 2.52 1.89
+27.0 2.47 1.96
+27.1 2.43 2.04
+27.2 2.4 2.12
+27.3 2.37 2.21
+27.4 2.35 2.3
+27.5 2.33 2.4
+27.6 2.32 2.51
+27.7 2.32 2.61
+27.8 2.33 2.73
+27.9 2.34 2.84
+28.0 2.37 2.96
+28.1 2.4 3.08
+28.2 2.44 3.2
+28.3 2.49 3.32
+28.4 2.55 3.44
+28.5 2.62 3.57
+28.6 2.7 3.69
+28.7 2.79 3.81
+28.8 2.9 3.93
+28.9 3.01 4.05
+29.0 3.14 4.16
+29.1 3.28 4.26
+29.2 3.44 4.36
+29.3 3.61 4.45
+29.4 3.79 4.53
+29.5 3.98 4.59
+29.6 4.18 4.64
+29.7 4.4 4.67
+29.8 4.62 4.67
+29.9 4.85 4.66
+30.0 5.07 4.62
diff --git a/nk/Vacuum.txt b/nk/Vacuum.txt
new file mode 100644
index 0000000..9211d0a
--- /dev/null
+++ b/nk/Vacuum.txt
@@ -0,0 +1,105 @@
+100 .False. # Number of lines, conductive flag
+# 5 line header for n-k original data
+# Vacuum psudo species
+# Taken from:
+# wl(um) n k
+0.0001 1.0 0.0
+0.0001176811952434998 1.0 0.0
+0.00013848863713938732 1.0 0.0
+0.00016297508346206434 1.0 0.0
+0.00019179102616724886 1.0 0.0
+0.0002257019719633919 1.0 0.0
+0.00026560877829466864 1.0 0.0
+0.00031257158496882353 1.0 0.0
+0.0003678379771828634 1.0 0.0
+0.0004328761281083057 1.0 0.0
+0.000509413801481638 1.0 0.0
+0.0005994842503189409 1.0 0.0
+0.0007054802310718645 1.0 0.0
+0.0008302175681319744 1.0 0.0
+0.0009770099572992247 1.0 0.0
+0.0011497569953977356 1.0 0.0
+0.0013530477745798076 1.0 0.0
+0.0015922827933410922 1.0 0.0
+0.001873817422860383 1.0 0.0
+0.0022051307399030455 1.0 0.0
+0.002595024211399737 1.0 0.0
+0.0030538555088334154 1.0 0.0
+0.003593813663804626 1.0 0.0
+0.0042292428743894986 1.0 0.0
+0.0049770235643321085 1.0 0.0
+0.005857020818056662 1.0 0.0
+0.006892612104349695 1.0 0.0
+0.008111308307896872 1.0 0.0
+0.009545484566618337 1.0 0.0
+0.011233240329780276 1.0 0.0
+0.013219411484660288 1.0 0.0
+0.015556761439304723 1.0 0.0
+0.01830738280295368 1.0 0.0
+0.021544346900318822 1.0 0.0
+0.025353644939701114 1.0 0.0
+0.029836472402833374 1.0 0.0
+0.03511191734215131 1.0 0.0
+0.04132012400115335 1.0 0.0
+0.04862601580065353 1.0 0.0
+0.057223676593502144 1.0 0.0
+0.06734150657750822 1.0 0.0
+0.0792482898353917 1.0 0.0
+0.093260334688322 1.0 0.0
+0.10974987654930557 1.0 0.0
+0.1291549665014884 1.0 0.0
+0.1519911082952933 1.0 0.0
+0.1788649529057435 1.0 0.0
+0.21049041445120198 1.0 0.0
+0.2477076355991709 1.0 0.0
+0.2915053062825176 1.0 0.0
+0.34304692863149155 1.0 0.0
+0.40370172585965536 1.0 0.0
+0.4750810162102793 1.0 0.0
+0.5590810182512223 1.0 0.0
+0.6579332246575675 1.0 0.0
+0.774263682681127 1.0 0.0
+0.9111627561154887 1.0 0.0
+1.072267222010323 1.0 0.0
+1.261856883066021 1.0 0.0
+1.4849682622544635 1.0 0.0
+1.747528400007683 1.0 0.0
+2.0565123083486516 1.0 0.0
+2.4201282647943834 1.0 0.0
+2.848035868435799 1.0 0.0
+3.351602650938841 1.0 0.0
+3.944206059437656 1.0 0.0
+4.641588833612772 1.0 0.0
+5.462277217684337 1.0 0.0
+6.4280731172843195 1.0 0.0
+7.56463327554629 1.0 0.0
+8.902150854450374 1.0 0.0
+10.47615752789664 1.0 0.0
+12.32846739442066 1.0 0.0
+14.508287784959402 1.0 0.0
+17.073526474706888 1.0 0.0
+20.09233002565046 1.0 0.0
+23.644894126454073 1.0 0.0
+27.825594022071257 1.0 0.0
+32.74549162877725 1.0 0.0
+38.53528593710527 1.0 0.0
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diff --git a/nk/White.txt b/nk/White.txt
new file mode 100644
index 0000000..4348e3d
--- /dev/null
+++ b/nk/White.txt
@@ -0,0 +1,105 @@
+100 .False. # Number of lines, conductive flag
+# 5 line header for n-k original data
+# Vacuum psudo species
+# Taken from:
+# wl(um) n k
+0.0001 0.0 1.0
+0.0001176811952434998 0.0 1.0
+0.00013848863713938732 0.0 1.0
+0.00016297508346206434 0.0 1.0
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diff --git a/nk/ZnS.txt b/nk/ZnS.txt
new file mode 100644
index 0000000..11d51aa
--- /dev/null
+++ b/nk/ZnS.txt
@@ -0,0 +1,647 @@
+642 .False. # Number of lines, conductive flag
+# 5 line header for n-k original data
+# Sphalerite ZnS - Palik (1985), Querry (1987) - (cubic zinc sulfide)
+# Taken from:
+# wl(um) n k
+0.0001240 0.9999928 7.09E-07
+0.0001269 0.9999925 7.69E-07
+0.0001298 0.9999919 1.75E-07
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diff --git a/nk/plot_nk.py b/nk/plot_nk.py
new file mode 100644
index 0000000..65a9863
--- /dev/null
+++ b/nk/plot_nk.py
@@ -0,0 +1,31 @@
+from argparse import ArgumentParser
+import numpy as np
+import matplotlib.pylab as plt
+
+# Get the file path from the command line argument
+parser = ArgumentParser()
+parser.add_argument("-f","--file", dest="filename",type=str,help="nk_file", metavar="FILE")
+args = parser.parse_args()
+
+fname = args.filename
+
+data = np.loadtxt(fname,skiprows=5)
+
+wl = data[:,0]
+n = data[:,1]
+k = data[:,2]
+
+fig = plt.figure()
+
+plt.plot(wl,n,c='red',label='n')
+plt.plot(wl,k,c='blue',ls='dashed',label='k')
+
+plt.legend()
+
+#plt.xlim(9,12)
+
+plt.xscale('log')
+plt.yscale('log')
+
+plt.show()
+
diff --git a/nohup.out b/nohup.out
new file mode 100644
index 0000000..d78d440
--- /dev/null
+++ b/nohup.out
@@ -0,0 +1,10 @@
+/home/gl20y334/VULCAN_Lee_dev/make_chem_funs.py:722: VisibleDeprecationWarning: Reading unicode strings without specifying the encoding argument is deprecated. Set the encoding, use None for the system default.
+ compo = np.genfromtxt(vulcan_cfg.com_file,names=True,dtype=None)
+Including condensation reactions.
+Traceback (most recent call last):
+ File "/home/gl20y334/VULCAN_Lee_dev/make_chem_funs.py", line 811, in
+ check_conserv()
+ File "/home/gl20y334/VULCAN_Lee_dev/make_chem_funs.py", line 735, in check_conserv
+ reac_atoms += np.array(list(compo[compo_row.index(sp)])[1:num_atoms+1])
+ValueError: 'OH' is not in list
+Equilibrium calculation (Fastchem) finished.
diff --git a/op.py b/op.py
index ebb903f..13fc097 100644
--- a/op.py
+++ b/op.py
@@ -3,7 +3,7 @@
# Copyright (C) 2016 Shang-Min Tsai (Shami)
# ==============================================================================
# ReadRate() reads in the chemical network and construct the rate constants based
-# on the T-P sturcture.
+# on the T-P structure.
# Integration() is the backbone of integrating for one time step
# ODESolver() contains the functions for solving system of ODEs (e.g. dy/dt, Jacobian, etc.)
# ==============================================================================
@@ -37,6 +37,13 @@
from vulcan_cfg import nz
+# gCMCRT radiative-transfer module
+import timeit
+from gCMCRT import gCMCRT_main
+
+# Mie theory calculation module
+from mie import read_nk, calc_mie
+
# imported functions
chemdf = chem_funs.chemdf
neg_achemjac = chem_funs.neg_symjac
@@ -819,13 +826,83 @@ def __call__(self, var, atm, para, make_atm):
if para.switch_final_photo_frq == False:
print ('update_photo_frq changed to ' + str(vulcan_cfg.final_update_photo_frq) +'\n')
para.switch_final_photo_frq = True
-
+
if vulcan_cfg.use_photo == True and para.count % self.update_photo_frq == 0:
- self.odesolver.compute_tau(var, atm)
- self.odesolver.compute_flux(var, atm)
- self.odesolver.compute_J(var, atm)
+
+ if (vulcan_cfg.use_aer == True) and (para.count < 2):
+ # Calculate aerosol opacity - just required once at start of simulation
+ # Assume static aerosol profile
+
+ start = timeit.default_timer()
+ print('Start Mie')
+ # Initialise variabiles for Mie calculations
+ var.cross_aer = np.zeros((nz,var.nbin))
+ var.cross_scat_aer = np.zeros((nz,var.nbin))
+ var.g_aer = np.zeros((nz,var.nbin))
+ var.aer_n = np.zeros(var.nbin)
+ var.aer_k = np.zeros(var.nbin)
+
+ var.aer_n, var.aer_k = read_nk(vulcan_cfg.aer_sp, var.bins)
+
+ var.cross_aer, var.cross_scat_aer, var.g_aer = \
+ calc_mie(nz,var.bins,var.aer_n,var.aer_k,atm.nd,atm.rm,atm.sig2)
+
+ end = timeit.default_timer()
+ print('End Mie, took: ', '{:.3f}'.format(end-start), 'seconds')
+
+ elif (vulcan_cfg.use_aer == False):
+ # Set aerosol opacity to zero
+ var.cross_aer = np.zeros((nz,var.nbin))
+ var.cross_scat_aer = np.zeros((nz,var.nbin))
+ var.g_aer = np.zeros((nz,var.nbin))
+
+
+ if vulcan_cfg.use_gCMCRT == True:
+ # Use Monte Carlo radiative-transfer module
+
+ # Send positive cosine angle to gCMCRT
+ mu_ang = np.cos(vulcan_cfg.sl_angle)
+
+ # Need to strip dicts of values into arrays
+ abs_cross = np.zeros((len(var.photo_sp),len(var.bins)))
+ i = 0
+ for sp in var.photo_sp:
+ abs_cross[i,:] = var.cross[sp]
+ i += 1
+
+ sca_cross = np.zeros((len(vulcan_cfg.scat_sp),len(var.bins)))
+ i = 0
+ for sp in vulcan_cfg.scat_sp:
+ sca_cross[i,:] = var.cross_scat[sp]
+ i += 1
+
+ # Also set sets to lists
+ ph_sp = list(var.photo_sp)
+
+ start = timeit.default_timer()
+ print('Start gCMCRT')
+
+ Jdot = gCMCRT_main(para.count, vulcan_cfg.Nph, nz, len(var.bins), species, ph_sp, vulcan_cfg.scat_sp, var.y, \
+ abs_cross, sca_cross, atm.nd, var.cross_aer, var.cross_scat_aer, var.g_aer, var.sflux_top, mu_ang, atm.dz)
+
+ end = timeit.default_timer()
+ print('End gCMCRT, took: ', '{:.3f}'.format(end-start), 'seconds')
+
+ # store the previous actinic flux into prev_aflux
+ var.prev_aflux = np.copy(var.aflux)
+ # converting to the actinic flux and storing the current flux
+ var.aflux = Jdot / (hc/var.bins)
+ # the change of the actinic flux
+ var.aflux_change = np.nanmax( np.abs(var.aflux-var.prev_aflux)[var.aflux>vulcan_cfg.flux_atol]/var.aflux[var.aflux>vulcan_cfg.flux_atol] )
+
+ else:
+ # Use regular two-stream shortwave approximation
+ self.odesolver.compute_tau(var, atm)
+ self.odesolver.compute_flux(var, atm)
+ self.odesolver.compute_J(var, atm)
+
if vulcan_cfg.use_ion == True: # photoionisation rate
- self.odesolver.compute_Jion(var, atm)
+ self.odesolver.compute_Jion(var, atm)
# integrating one step
var, para = self.odesolver.one_step(var, atm, para)
@@ -3872,4 +3949,4 @@ def plot_TP(self, atm):
# return var
#
#
-# ### back-up methods: extrapolation semi_implicit Euler ###
\ No newline at end of file
+# ### back-up methods: extrapolation semi_implicit Euler ###
diff --git a/output/.DS_Store b/output/.DS_Store
deleted file mode 100644
index 5008ddf..0000000
Binary files a/output/.DS_Store and /dev/null differ
diff --git a/store.py b/store.py
index 3653a90..15c7cde 100644
--- a/store.py
+++ b/store.py
@@ -83,7 +83,7 @@ def __init__(self): # self means the created object instance
self.var_save = ['k','y','ymix','y_ini','t','dt','longdy','longdydt',\
'atom_ini','atom_sum','atom_loss','atom_conden','aflux_change','Rf']
if vulcan_cfg.use_photo == True:
- self.var_save.extend(['nbin','bins','dbin1','dbin2','tau','sflux','aflux','cross','cross_scat','cross_J', 'J_sp','n_branch'])
+ self.var_save.extend(['nbin','bins','dbin1','dbin2','tau','sflux','aflux','cross','cross_scat','cross_J', 'J_sp','n_branch','cross_aer','cross_scat_aer','g_aer'])
if vulcan_cfg.T_cross_sp: self.var_save.extend(['cross_J','cross_T'])
if vulcan_cfg.use_ion == True: self.var_save.extend(['charge_list', 'ion_sp', 'cross_Jion','Jion_sp', 'ion_wavelen','ion_branch','ion_br_ratio'])
# 'ion_list' stores all the non-neutral species in build.atm whereas 'ion_sp' is for the species that actually have ionisation reactions in the network
@@ -132,6 +132,10 @@ def __init__(self):
self.alpha = np.zeros(ni) # thermal diffusion factor = -0.25 for every species except for H and H2 (defined in mol_diff() in build_atm.py)
self.gs = vulcan_cfg.gs # the gravitational acceleration at the surface or at 1 bar
self.g = np.zeros(nz) # g(z)
+
+ self.nd = np.zeros(nz) # Total number density of aerosol [cm-3]
+ self.rm = np.zeros(nz) # Mean radius of aerosol [um]
+ self.sig2 = np.zeros(nz) # Variance of aerosol distribution [cm2]
self.top_flux = np.zeros(ni) # the assigned flux at the top boundary
self.bot_flux = np.zeros(ni) # the assigned flux at the bottom boundary
diff --git a/thermo/NASA9/H2POH.txt b/thermo/NASA9/H2POH.txt
new file mode 100644
index 0000000..4d0a183
--- /dev/null
+++ b/thermo/NASA9/H2POH.txt
@@ -0,0 +1,4 @@
+2.410362928E+03 6.337161340E+02 -5.504908840E+00 4.609716720E-02 -6.396381840E-05
+4.573971930E-08 -1.303392650E-11 0.000000000E+00 -2.879075788E+04 5.316010250E+01
+1.162654445E+06 -5.568546960E+03 1.481074345E+01 -4.746923080E-04 3.978582050E-08
+6.177055140E-13 -2.029138151E-16 0.000000000E+00 5.676975220E+03 -6.623959920E+01
diff --git a/thermo/NASA9/H3PO3.txt b/thermo/NASA9/H3PO3.txt
new file mode 100644
index 0000000..1422bbd
--- /dev/null
+++ b/thermo/NASA9/H3PO3.txt
@@ -0,0 +1,4 @@
+ 1.875696456E+05 -2.327285442E+03 8.498261910E+00 4.392017720E-02 -8.338262540E-05
+ 6.885688180E-08 -2.099958009E-11 0.000000000E+00 -8.271806600E+04 -2.751726459E+01
+ 1.391016609E+06 -4.162680170E+03 1.655196217E+01 1.354071942E-03 -4.392021920E-07
+ 6.145206890E-11 -3.220802340E-15 0.000000000E+00 -7.025503120E+04 -6.560681260E+01
\ No newline at end of file
diff --git a/thermo/NASA9/H3PO4.txt b/thermo/NASA9/H3PO4.txt
new file mode 100644
index 0000000..9739c2a
--- /dev/null
+++ b/thermo/NASA9/H3PO4.txt
@@ -0,0 +1,4 @@
+6.877828410E+04 -6.336546220E+02 -5.811503100E-01 7.292512730E-02 -1.175926437E-04
+8.898714810E-08 -2.573888504E-11 0.000000000E+00 -1.329008776E+05 2.368825177E+01
+1.123325607E+06 -4.156501310E+03 1.945097544E+01 1.410063043E-03 -4.529220120E-07
+6.307544050E-11 -3.296226500E-15 0.000000000E+00 -1.137486346E+05 -8.153167990E+01
diff --git a/thermo/NASA9/HOPO.txt b/thermo/NASA9/HOPO.txt
new file mode 100644
index 0000000..9cfca86
--- /dev/null
+++ b/thermo/NASA9/HOPO.txt
@@ -0,0 +1,4 @@
+-1.768549014E+04 6.110393290E+02 -3.508979510E+00 3.805931640E-02 -5.258656580E-05
+ 3.538762910E-08 -9.370657800E-12 0.000000000E+00 -6.014736470E+04 4.513332550E+01
+-1.177060913E+05 -5.948088900E+02 8.948461620E+00 4.544941680E-04 -1.332661923E-07
+ 1.783248032E-11 -9.108681400E-16 0.000000000E+00 -5.608864440E+04 -2.134981985E+01
diff --git a/thermo/NASA9/HOPO2.txt b/thermo/NASA9/HOPO2.txt
new file mode 100644
index 0000000..7df7d1d
--- /dev/null
+++ b/thermo/NASA9/HOPO2.txt
@@ -0,0 +1,4 @@
+-4.643667080E+04 8.739767760E+02 -4.606861540E+00 4.658737910E-02 -6.051220750E-05
+ 3.876180940E-08 -9.856144200E-12 0.000000000E+00 -9.121853330E+04 5.136729760E+01
+-1.518394850E+05 -1.286513647E+03 1.247344606E+01 2.395682584E-04 -8.463760070E-08
+ 1.213335037E-11 -6.415652290E-16 0.000000000E+00 -8.273240400E+04 -4.224577030E+01
diff --git a/thermo/NASA9/HPO.txt b/thermo/NASA9/HPO.txt
new file mode 100644
index 0000000..f6ba50c
--- /dev/null
+++ b/thermo/NASA9/HPO.txt
@@ -0,0 +1,4 @@
+-3.816314120E+04 7.927641870E+02 -1.889940652E+00 1.800907425E-02 -1.857631793E-05
+ 1.018768867E-08 -2.355583619E-12 0.0 -1.157641240E+04 3.692925910E+01
+ 3.842459450E+05 -2.434951707E+03 8.582173920E+00 -4.058448570E-04 -1.669488740E-08
+ 2.253640566E-11 -1.943063011E-15 0.0 5.761632120E+03 -2.649097544E+01
diff --git a/thermo/NASA9/HPO4.txt b/thermo/NASA9/HPO4.txt
new file mode 100644
index 0000000..1c6bf0b
--- /dev/null
+++ b/thermo/NASA9/HPO4.txt
@@ -0,0 +1,4 @@
+ 1.055971045E+04 -2.188406345E+01 5.100403110E-01 4.420512840E-02 -6.118899440E-05
+ 4.198045030E-08 -1.139613794E-11 0.000000000E+00 -7.879082350E+04 2.310803129E+01
+ 3.003062743E+05 -2.980270345E+03 1.680724424E+01 1.368393767E-05 -5.080240560E-08
+ 9.568585650E-12 -5.679627840E-16 0.000000000E+00 -6.443254110E+04 -6.751882830E+01
\ No newline at end of file
diff --git a/thermo/NASA9/HPOH.txt b/thermo/NASA9/HPOH.txt
new file mode 100644
index 0000000..7fcfb16
--- /dev/null
+++ b/thermo/NASA9/HPOH.txt
@@ -0,0 +1,4 @@
+1.711979627E+04 1.793280074E+02 -1.042403671E+00 2.673918235E-02 -3.453765410E-05
+2.294702995E-08 -6.166735590E-12 0.000000000E+00 -1.385778387E+04 3.099575063E+01
+2.646205200E+05 -2.390940324E+03 1.041265795E+01 -1.574341165E-04 5.458853300E-09
+1.655968538E-12 -1.520933047E-16 0.000000000E+00 -8.735960940E+02 -3.484765760E+01
diff --git a/thermo/NASA9/P.txt b/thermo/NASA9/P.txt
index ab79720..b251e4e 100644
--- a/thermo/NASA9/P.txt
+++ b/thermo/NASA9/P.txt
@@ -2,4 +2,10 @@
-1.866399889E-11 6.227063395E-15 0. 3.732421910E+04 5.359303481E+00
1.261794642E+06 -4.559838190E+03 8.918079310E+00 -4.381401460E-03 1.454286224E-06
-2.030782763E-10 1.021022887E-14 0. 6.541723960E+04 -3.915974795E+01
-# P Hf:Cox,1989. Martin,W.C.,1985. Gordon,1999.
\ No newline at end of file
+# P Hf:Cox,1989. Martin,W.C.,1985. Gordon,1999.
+
+0.000000000E+00 0.000000000E+00 2.500042677E+00 -4.389686410E-07 1.581317410E-09
+-2.339004641E-12 1.205109349E-15 0.000000000E+00 3.730737500E+04 5.384147167E+00
+0.000000000E+00 0.000000000E+00 2.807215452E+00 -5.308419932E-04 2.445430596E-07
+-2.057082456E-11 -2.945466283E-16 0.000000000E+00 3.718927344E+04 3.677647114E+00
+# Visscher
diff --git a/thermo/NASA9/P2.txt b/thermo/NASA9/P2.txt
new file mode 100644
index 0000000..db4f6cb
--- /dev/null
+++ b/thermo/NASA9/P2.txt
@@ -0,0 +1,11 @@
+ 3.053922510E+04 -3.246177590E+02 4.022463810E+00 3.232094790E-03 -5.511052450E-06
+ 4.195572930E-09 -1.215032180E-12 0.0 1.796910870E+04 1.645350331E+00
+-7.806936490E+05 2.307910870E+03 1.411743130E+00 2.108237420E-03 -7.360856620E-07
+ 1.259360120E-10 -7.079752490E-15 0.0 1.329824740E+03 2.169741365E+01
+ # NASA 2002
+
+0.000000000E+00 0.000000000E+00 2.839110613E+00 4.826619290E-03 -5.494748621E-06
+2.580050618E-09 -3.223645309E-13 0.000000000E+00 1.625970703E+04 8.842410088E+00
+0.000000000E+00 0.000000000E+00 4.161173344E+00 3.962079936E-04 -1.558033915E-07
+2.909347416E-11 -2.004245760E-15 0.000000000E+00 1.594686914E+04 2.241092443E+00
+# Visscher
diff --git a/thermo/NASA9/P2H.txt b/thermo/NASA9/P2H.txt
new file mode 100644
index 0000000..3f3c4db
--- /dev/null
+++ b/thermo/NASA9/P2H.txt
@@ -0,0 +1,11 @@
+ 9.040668840E+04 -1.337692443E+03 1.031343286E+01 -9.571523840E-03 1.311092490E-05
+-8.331944640E-09 2.029142817E-12 0.000000000E+00 3.210061940E+04 -2.965573386E+01
+ 3.660504100E+05 -1.988850864E+03 8.322219790E+00 -4.877073250E-04 1.017155314E-07
+-1.118362220E-11 5.024430560E-16 0.000000000E+00 3.698555190E+04 -2.125989655E+01
+# NASA Burcat
+
+3.672107620E+04 -1.676082109E+01 2.469057186E+00 4.999654640E-03 -2.150799987E-06
+3.235070170E-10 2.091281315E-15 0.000000000E+00 2.614734410E+04 1.543819006E+01
+1.196450639E+06 -4.877488060E+03 1.045734993E+01 -1.398727448E-03 3.232416630E-07
+-3.929101700E-11 1.934694241E-15 0.000000000E+00 5.536073650E+04 -3.874151070E+01
+# Visscher
diff --git a/thermo/NASA9/P2H2.txt b/thermo/NASA9/P2H2.txt
new file mode 100644
index 0000000..b5d184c
--- /dev/null
+++ b/thermo/NASA9/P2H2.txt
@@ -0,0 +1,11 @@
+ 1.182607223E+05 -1.463433975E+03 8.640292420E+00 1.744687639E-03 -2.180667662E-06
+ 2.894632085E-09 -1.321895970E-12 0.000000000E+00 2.129488526E+04 -2.399217743E+01
+ 7.352475270E+05 -4.228409200E+03 1.272247297E+01 -9.752684110E-04 1.982001453E-07
+-2.130660342E-11 9.388271330E-16 0.000000000E+00 3.796090350E+04 -5.247557050E+01
+# Nasa Bucat
+
+5.062040210E+04 -7.150559350E+01 1.720722153E+00 7.796558270E-03 -1.746402619E-06
+-2.910449896E-10 1.504016036E-13 0.000000000E+00 1.417818727E+04 1.793188412E+01
+-3.907469380E+06 1.091863658E+04 -1.012996387E+01 1.461044323E-02 -4.475882870E-06
+6.264650690E-10 -3.287948910E-14 0.000000000E+00 -5.653626610E+04 1.030954591E+02
+# Visscher
diff --git a/thermo/NASA9/P2H3.txt b/thermo/NASA9/P2H3.txt
new file mode 100644
index 0000000..d1f00e7
--- /dev/null
+++ b/thermo/NASA9/P2H3.txt
@@ -0,0 +1,5 @@
+-2.858090044E+04 1.356017377E+02 1.849748171E+00 1.236338545E-02 -6.920380970E-06
+2.131132268E-09 -2.924801221E-13 0.000000000E+00 1.433628952E+04 1.934864603E+01
+4.579441910E+06 -1.500144823E+04 2.271813378E+01 -3.858528640E-03 9.092487950E-07
+-1.142447346E-10 5.822708840E-15 0.000000000E+00 1.086417277E+05 -1.246571109E+02
+# Visscher
diff --git a/thermo/NASA9/P2H4.txt b/thermo/NASA9/P2H4.txt
new file mode 100644
index 0000000..6fe8a9d
--- /dev/null
+++ b/thermo/NASA9/P2H4.txt
@@ -0,0 +1,11 @@
+ 9.833602190E+04 -1.085233386E+03 6.475007390E+00 1.509011370E-02 -1.497111276E-05
+ 1.067748311E-08 -3.501403260E-12 0.000000000E+00 8.694483140E+03 -1.191735573E+01
+ 1.717191130E+06 -9.057781170E+03 2.183510379E+01 -2.093898063E-03 4.265081010E-07
+-4.596322680E-11 2.030222766E-15 0.000000000E+00 5.546529140E+04 -1.130004379E+02
+# Nasa Burcat
+
+1.333780682E+04 2.843441243E+01 6.443079950E-01 2.027891886E-02 -1.371363273E-05
+3.934852480E-09 -7.191382340E-14 0.000000000E+00 1.765175437E+03 2.383824092E+01
+4.551376110E+06 -1.629727284E+04 2.656339905E+01 -4.784520460E-03 1.242662449E-06
+-1.707222102E-10 9.382911370E-15 0.000000000E+00 1.017145354E+05 -1.503276928E+02
+# Visscher
diff --git a/thermo/NASA9/P2O.txt b/thermo/NASA9/P2O.txt
new file mode 100644
index 0000000..0720e03
--- /dev/null
+++ b/thermo/NASA9/P2O.txt
@@ -0,0 +1,5 @@
+0.0 0.0 4.853 2.246E-3 -1.285E-6
+3.439E-10 -3.539E-14 0.0 10430.0 -0.189
+0.0 0.0 4.853 2.246E-3 -1.285E-6
+3.439E-10 -3.539E-14 0.0 10430.0 -0.189
+# NASA 7 Polynomial from Twarowski (1993) 1000-5000K
diff --git a/thermo/NASA9/P2O2.txt b/thermo/NASA9/P2O2.txt
new file mode 100644
index 0000000..7e0deae
--- /dev/null
+++ b/thermo/NASA9/P2O2.txt
@@ -0,0 +1,5 @@
+0.0 0.0 7.476 3.446E-3 -1.972E-6
+5.280E-10 -5.435E-14 0.0 -12180.0 -8.971
+0.0 0.0 7.476 3.446E-3 -1.972E-6
+5.280E-10 -5.435E-14 0.0 -12180.0 -8.971
+# NASA 7 Polynomial from Twarowski (1993) 1000-5000K
diff --git a/thermo/NASA9/P2O3.txt b/thermo/NASA9/P2O3.txt
new file mode 100644
index 0000000..b528175
--- /dev/null
+++ b/thermo/NASA9/P2O3.txt
@@ -0,0 +1,4 @@
+-6.645753890E+04 7.580900550E+02 9.888436770E-01 2.859878730E-02 -3.231142110E-05
+1.834525170E-08 -4.212489300E-12 0.0 -8.820036740E+04 2.689914458E+01
+-2.175344110E+05 -1.369902000E+03 1.401142960E+01 -4.023856960E-04 8.868345780E-08
+-1.015657280E-11 4.704356060E-16 0.0 -7.922757000E+04 -4.739487232E+01
diff --git a/thermo/NASA9/P2O4.txt b/thermo/NASA9/P2O4.txt
new file mode 100644
index 0000000..a490c26
--- /dev/null
+++ b/thermo/NASA9/P2O4.txt
@@ -0,0 +1,4 @@
+-4.376091260E+04 4.905102830E+02 9.643649370E-01 3.886073580E-02 -4.675509220E-05
+2.812625630E-08 -6.824406100E-12 0.0 -1.168997790E+05 2.379582767E+01
+-3.670114860E+05 -1.638423730E+03 1.721188610E+01 -4.826580150E-04 1.064461900E-07
+-1.219610070E-11 5.650654580E-16 0.0 -1.090435930E+05 -6.714276593E+01
\ No newline at end of file
diff --git a/thermo/NASA9/P2O5.txt b/thermo/NASA9/P2O5.txt
new file mode 100644
index 0000000..f67cccb
--- /dev/null
+++ b/thermo/NASA9/P2O5.txt
@@ -0,0 +1,4 @@
+-2.999159220E+04 -4.594506590E+01 6.987486830E+00 2.883302970E-02 -3.104509530E-05
+1.643868680E-08 -3.467942300E-12 0.0 -1.381901400E+05 -3.400572711E+00
+-3.247080160E+05 -2.016975080E+03 2.048699340E+01 -5.910641150E-04 1.301993020E-07
+-1.490682940E-11 6.903573410E-16 0.0 -1.306290160E+05 -8.031642952E+01
diff --git a/thermo/NASA9/P3.txt b/thermo/NASA9/P3.txt
new file mode 100644
index 0000000..c6ee8d6
--- /dev/null
+++ b/thermo/NASA9/P3.txt
@@ -0,0 +1,4 @@
+4.693358950E+04 -8.643589320E+02 8.734247530E+00 1.094534560E-05 -1.998573320E-06
+ 2.096750510E-09 -6.922889710E-13 0.0 2.774847340E+04 -2.063587261E+01
+-1.253513060E+05 -8.306734620E+01 7.561956770E+00 -2.474403950E-05 5.457276930E-09
+-6.244660570E-13 2.887724220E-17 0.0 2.308722280E+04 -1.228310621E+01
diff --git a/thermo/NASA9/P4.txt b/thermo/NASA9/P4.txt
new file mode 100644
index 0000000..b7a7c69
--- /dev/null
+++ b/thermo/NASA9/P4.txt
@@ -0,0 +1,11 @@
+1.240773532E+05 -2.397379586E+03 1.802981563E+01 -1.537648748E-02 1.708145186E-05
+-1.021752508E-08 2.540216470E-12 0.000000000E+00 1.826349294E+04 -7.249144150E+01
+-1.622543947E+05 -1.216362752E+02 1.010498259E+01 -4.688834940E-05 1.128068047E-08
+-1.382634613E-12 6.756984720E-17 0.000000000E+00 6.160968030E+03 -2.518091391E+01
+# NASA Burcat
+
+0.000000000E+00 0.000000000E+00 3.535330057E+00 2.412529290E-02 -3.646275945E-05
+2.491690587E-08 -6.329856344E-12 0.000000000E+00 5.235533691E+03 7.755895615E+00
+0.000000000E+00 0.000000000E+00 9.226279259E+00 8.689413080E-04 -3.775833761E-07
+7.237966476E-11 -5.106610867E-15 0.000000000E+00 4.090549561E+03 -1.964170456E+01
+#Visscher
diff --git a/thermo/NASA9/P4O6.txt b/thermo/NASA9/P4O6.txt
new file mode 100644
index 0000000..042f209
--- /dev/null
+++ b/thermo/NASA9/P4O6.txt
@@ -0,0 +1,4 @@
+ 3.760894750E+05 -5.685832620E+03 2.914225450E+01 2.251532120E-02 -4.510269630E-05
+ 3.588312690E-08 -1.057572060E-11 0.0 -1.688562480E+05 -1.451359851E+02
+-1.008997240E+06 -8.872753990E+02 2.866064830E+01 -2.636018940E-04 5.810940720E-08
+-6.648086960E-12 3.074391930E-16 0.0 -1.997138900E+05 -1.281853821E+02
diff --git a/thermo/NASA9/PH.txt b/thermo/NASA9/PH.txt
new file mode 100644
index 0000000..f41304f
--- /dev/null
+++ b/thermo/NASA9/PH.txt
@@ -0,0 +1,11 @@
+2.273633198E+04 -3.972674060E+02 6.233697660E+00 -9.181784600E-03 1.523328123E-05
+-1.085888585E-08 2.929760547E-12 0.0 2.852768404E+04 -1.095191197E+01
+7.814730650E+05 -3.038451204E+03 7.467481020E+00 -1.837522255E-03 7.165947700E-07
+-1.142128853E-10 6.175410560E-15 0.0 4.536260180E+04 -2.467298140E+01
+# NASA 2002
+
+9.308484730E+03 -1.838136754E+01 3.470572320E+00 -4.585765590E-04 1.692074538E-06
+-7.065667230E-10 -4.307883590E-15 0.000000000E+00 2.750296919E+04 3.899173530E+00
+-3.608996340E+05 6.386237080E+02 2.873463181E+00 9.892286250E-04 -1.697094784E-07
+1.375409393E-11 -3.376821970E-16 0.000000000E+00 2.290725776E+04 7.737745690E+00
+# Visscher
diff --git a/thermo/NASA9/PH2.txt b/thermo/NASA9/PH2.txt
new file mode 100644
index 0000000..406cb9f
--- /dev/null
+++ b/thermo/NASA9/PH2.txt
@@ -0,0 +1,11 @@
+ 3.665434070E+03 -1.774304789E+01 4.043830630E+00 -1.415691707E-03 7.512214300E-06
+-6.109729410E-09 1.599821477E-12 0.000000000E+00 1.520927473E+04 2.643020700E+00
+ 1.175949763E+06 -4.844891530E+03 1.025668626E+01 -1.168701795E-03 2.127219563E-07
+-1.574155835E-11 3.445818380E-16 0.000000000E+00 4.461953140E+04 -4.274357570E+01
+# NASA - Burcat
+
+-2.392830175E+04 3.335123120E+02 2.214534439E+00 3.624580040E-03 1.085947153E-06
+-2.395574858E-09 8.479209460E-13 0.000000000E+00 1.024237660E+04 1.283305626E+01
+9.624784870E+05 -4.385749290E+03 1.013555451E+01 -1.300210954E-03 3.127463859E-07
+-3.989207430E-11 2.064648507E-15 0.000000000E+00 3.820764720E+04 -4.137184230E+01
+# Visscher
diff --git a/thermo/NASA9/PH3.txt b/thermo/NASA9/PH3.txt
index c6b3143..1bf5f23 100644
--- a/thermo/NASA9/PH3.txt
+++ b/thermo/NASA9/PH3.txt
@@ -1,5 +1,11 @@
--6.384325340E+03 4.057567410E+02 -1.565680086E-01 1.338380613E-02 -8.275391430E-06
- 3.024360831E-09 -6.421764630E-13 0. -2.159842124E+03 2.385561888E+01
- 1.334801106E+06 -6.725463520E+03 1.445857073E+01 -1.639736883E-03 3.409218570E-07
--3.736272080E-11 1.672947506E-15 0. 3.910325710E+04 -7.198781190E+01
-# PH3 Chase,1998 p1348.
\ No newline at end of file
+-2.496968335E+04 6.768677200E+02 -1.684504087E+00 1.766581039E-02 -1.461125828E-05
+ 7.751844680E-09 -2.041550254E-12 0.000000000E+00 -2.690966759E+03 3.233188410E+01
+ 1.290688225E+06 -6.624214330E+03 1.436871146E+01 -1.599887211E-03 3.315817320E-07
+-3.626095670E-11 1.621585251E-15 0.000000000E+00 3.919585790E+04 -7.132353360E+01
+# NASA - Burcat
+
+3.258888150E+04 2.623379759E+01 1.305666296E+00 1.046782406E-02 -4.987528970E-06
+9.679595870E-10 -7.819144800E-14 0.000000000E+00 -1.982457542E+02 1.521070886E+01
+1.711333102E+06 -8.033510180E+03 1.617588781E+01 -2.714467831E-03 6.794734300E-07
+-8.882741760E-11 4.663301990E-15 0.000000000E+00 4.723478690E+04 -8.404917480E+01
+# Visscher
diff --git a/thermo/NASA9/PN.txt b/thermo/NASA9/PN.txt
new file mode 100644
index 0000000..fb21c9f
--- /dev/null
+++ b/thermo/NASA9/PN.txt
@@ -0,0 +1,4 @@
+5.103203840E+04 8.202926680E+02 -1.392772765E+00 1.287989789E-02 -1.401425371E-05
+ 7.775633460E-09 -1.751539330E-12 0.0 1.573226520E+04 3.251070633E+01
+-2.495625593E+05 1.760438830E+02 4.144121960E+00 2.478018097E-04 -5.674896300E-08
+ 4.263645120E-12 3.063920924E-16 0.0 1.770317267E+04 1.325517397E+00
diff --git a/thermo/NASA9/PO.txt b/thermo/NASA9/PO.txt
new file mode 100644
index 0000000..cef6a7d
--- /dev/null
+++ b/thermo/NASA9/PO.txt
@@ -0,0 +1,11 @@
+-6.845754060E+04 1.141295708E+03 -2.779556060E+00 1.678458047E-02 -1.974879516E-05
+1.192602320E-08 -2.927460912E-12 0.0 -9.847745040E+03 4.184328297E+01
+-3.366667440E+05 6.229355840E+02 3.565605460E+00 6.516620720E-04 -2.061770841E-07
+3.184413230E-11 -1.573691908E-15 0.0 -8.939790390E+03 6.954859188E+00
+# NASA
+
+-4.078639540E+04 7.384374670E+02 -5.081429910E-01 1.045749635E-02 -1.060154826E-05
+5.427396380E-09 -1.143517275E-12 0.000000000E+00 -7.371458060E+03 2.924376692E+01
+-1.032452662E+05 -2.886656180E+01 4.336923240E+00 1.567852989E-04 -3.547995840E-08
+3.197658470E-12 2.087643854E-17 0.000000000E+00 -4.222959910E+03 1.516560233E+00
+# Visscher
diff --git a/thermo/NASA9/PO2.txt b/thermo/NASA9/PO2.txt
new file mode 100644
index 0000000..8c7c802
--- /dev/null
+++ b/thermo/NASA9/PO2.txt
@@ -0,0 +1,4 @@
+-6.462105570E+04 1.056224048E+03 -2.905335935E+00 2.410022157E-02 -2.882242906E-05
+ 1.745531169E-08 -4.280134910E-12 0.000000000E+00 -4.031341070E+04 4.426419620E+01
+-1.383178092E+05 -6.469331850E+02 7.476621330E+00 -1.892345722E-04 4.164570980E-08
+-4.765875330E-12 2.207221847E-16 0.000000000E+00 -3.297175330E+04 -1.458447383E+01
diff --git a/thermo/NASA9/PO3.txt b/thermo/NASA9/PO3.txt
new file mode 100644
index 0000000..2fe7472
--- /dev/null
+++ b/thermo/NASA9/PO3.txt
@@ -0,0 +1,4 @@
+-7.328708150E+04 1.344137945E+03 -4.636474040E+00 3.992641040E-02 -5.281402750E-05
+ 3.496601790E-08 -9.274096140E-12 0.000000000E+00 -6.209094880E+04 5.521382930E+01
+-3.478003380E+05 -3.876580420E+02 1.024069925E+01 -7.982820960E-05 1.459974851E-08
+-1.383862131E-12 5.291978770E-17 0.000000000E+00 -5.599921490E+04 -2.649390735E+01
diff --git a/thermo/NASA9/PS.txt b/thermo/NASA9/PS.txt
new file mode 100644
index 0000000..c4af5b8
--- /dev/null
+++ b/thermo/NASA9/PS.txt
@@ -0,0 +1,4 @@
+-7.689786800E+02 -4.637824070E+01 4.104649170E+00 1.555262273E-03 -2.315757288E-06
+ 1.661425178E-09 -4.631238400E-13 0.000000000E+00 1.820900921E+04 4.230675990E+00
+-2.702729082E+05 8.883548220E+02 3.169190120E+00 1.022480817E-03 -3.803740480E-07
+ 7.019861880E-11 -4.269122310E-15 0.000000000E+00 1.234535575E+04 1.147336431E+01
\ No newline at end of file
diff --git a/thermo/PHO_full_photo_network.txt b/thermo/PHO_full_photo_network.txt
new file mode 100644
index 0000000..875276f
--- /dev/null
+++ b/thermo/PHO_full_photo_network.txt
@@ -0,0 +1,382 @@
+# VULCAN P-H-O network for reducing atmospheres
+##########################################################################################################################################################
+# logged history
+# 11.2022 Elspeth K. H. Lee - converted from Wang et al. (2016)/Twarowski (1995) P/H/O network with H/O reaction coefficients from VULCAN -
+# This is the full Wang et al. (2016) P/H/O network with added photochemical reactions
+# 5.2023 Elspeth K. H. Lee - Added (non speculative) Moses reactions and replaced some reactions
+# 6.2023 Elspeth K. H. Lee - Added Plane P2O6 reaction rate + photochemical species
+##########################################################################################################################################################
+# In Temp, KIDA means the values are close to those on KIDA
+# in the form of k = A T^B exp(-C/T)
+# Two-body Reactions
+# id Reactions A B C Ref Temp
+
+1 [ O + OH -> O2 + H ] 7.47E-10 -0.500 30.0 200-2500
+3 [ OH + H2 -> H2O + H ] 3.57E-16 1.520 1740.0 1992OLD/LOG8426-8430 250-2580
+5 [ O + H2O -> OH + OH ] 8.20E-14 0.950 8570.0 250-2400
+7 [ O + H2 -> OH + H ] 8.52E-20 2.670 3160.0 300-2500
+9 [ O_1 + H2 -> OH + H ] 2.87E-10 0.000 0.0 1975TUL1893 100-2100
+11 [ O_1 + O2 -> O + O2 ] 3.20E-11 0. -70.0 1997DEM/SAN1-266 200-300
+13 [ O_1 + H2O -> OH + OH ] 1.62E-10 0.000 -65.0 2004DUN/RAV3333-3340 235-370
+15 [ HO2 + H -> OH + OH ] 2.81E-10 0. 440.0 1992BAU/COB411-429 300-1000
+17 [ HO2 + H -> O2 + H2 ] 7.11E-11 0. 710.0 1992BAU/COB411-429 300-1000
+19 [ O + HO2 -> OH + O2 ] 2.70E-11 0. -224.0 2004ATK/BAU1461-1738 220-440
+21 [ OH + HO2 -> H2O + O2 ] 2.40E-08 -1.00 0.0 1986TSA/HAM1087 300-2500
+23 [ H2O2 + H -> H2 + HO2 ] 2.81E-12 0. 1890.0 1992BAU/COB411-429 300-1000
+25 [ H2O2 + H -> OH + H2O ] 1.69E-11 0. 1800.0 1992BAU/COB411-429 300-1000
+27 [ O + H2O2 -> OH + HO2 ] 1.40E-12 0. 2000.0 2004ATK/BAU1461-1738 280-390
+29 [ OH + H2O2 -> H2O + HO2 ] 2.90E-12 0. 160.0 2004ATK/BAU1461-1738 240-460
+#69 [ H2O + PO3 -> OH + HOPO2 ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+31 [ OH + HOPO2 -> PO3 + H2O ] 1.993E-18 2.000 1007.00 Jayaweera+05; Glaude+00
+#69 [ H2 + PO3 -> H + HOPO2 ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+33 [ H2 + PO3 -> H + HOPO2 ] 3.321E-12 0.000 0.0 Jayaweera+05; Glaude+00
+#75 [ O2 + PO -> O + PO2 ] 5.25E-13 0.000 2884.13 Wang et al. (2016)/Twarowski (1995)
+#69 [ O2 + PO -> O + PO2 ] 2.50E-12 0.305 0.0 Plane_et_al.(2021)
+35 [ O2 + PO -> O + PO2 ] 2.30E-11 0.000 100.0 Douglas et al. (2020/2022)
+#77 [ O2 + P -> O + PO ] 5.25E-11 0.000 2111.98 Wang et al. (2016)/Twarowski (1995)
+#281 [ O2 + P -> O + PO ] 8.84e-19 2.24 0.0 Plane_et_al.(2021)
+37 [ O2 + P -> O + PO ] 4.20E-12 0.000 600.0 Douglas et al. (2019/2022)
+39 [ O2 + PH -> O + HPO ] 5.25E-13 0.000 2012.16 Wang et al. (2016)/Twarowski (1995)
+#81 [ H + HOPO -> H2O + PO ] 5.25E-11 0.000 6013.62 Wang et al. (2016)/Twarowski (1995)
+41 [ H + HOPO -> H2O + PO ] 4.98E-12 0.000 4176.72 Jayaweera+05
+#41 [ H + HOPO -> H2O + PO ] 5.25E-12 0.166 4176.72 Mackie et al. (2002)
+#83 [ H + HOPO -> H2 + PO2 ] 5.25E-11 0.000 21.65 Wang et al. (2016)/Twarowski (1995)
+43 [ H + HOPO -> H2 + PO2 ] 3.55E-17 1.94 5072.45 Haworth et al. (2002)
+#85 [ H + HOPO2 -> H2O + PO2 ] 5.25E-11 0.000 6013.62 Wang et al. (2016)/Twarowski (1995)
+#85 [ H + HOPO2 -> H2O + PO2 ] 9.13E-16 1.49 11372.76 Haworth et al. (2002)
+#85 [ H + HOPO2 -> H2O + PO2 ] 8.569E-05 -1.830 5401.00 Jayaweera+05
+45 [ H + HOPO2 -> H2O + PO2 ] 1.78E-11 0.176 5937.99 Mackie et al. (2002)
+#47 [ H + PO3 -> O + HOPO ] 5.25E-11 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+47 [ O + HOPO -> H + PO3 ] 1.66E-12 0.00 7548.29 Jayaweera+05
+#49 [ H + PO3 -> OH + PO2 ] 5.25E-11 0.000 19.24 Wang et al. (2016)/Twarowski (1995)
+49 [ H + PO3 -> OH + PO2 ] 1.16E-11 0.5 0.00 Plane_et_al.(2021)
+51 [ H + P2O3 -> PO + HOPO ] 5.25E-11 0.000 6013.62 Wang et al. (2016)/Twarowski (1995)
+#91 [ H + HPO -> H2 + PO ] 5.25E-11 0.000 1989.30 Wang et al. (2016)/Twarowski (1995)
+53 [ H + HPO -> H2 + PO ] 4.000E-16 1.500 0.00 Jayaweera+05
+#93 [ H + PH3 -> H2 + PH2 ] 7.22E-11 0.000 884.0 Paul Rimmer (Arthur and Cooper 1997) (Disc.) 200-500
+55 [ H + PH3 -> H2 + PH2 ] 7.000E-18 2.3576 45.123 Klippenstein calculation (Disc.)
+#95 [ H + PH2 -> H2 + PH ] 5.25E-11 0.000 2609.91 Wang et al. (2016)/Twarowski (1995)
+57 [ H + PH2 -> H2 + PH ] 1.940E-16 1.8025 47.26 Klippenstein calculation
+#99 [ H + PH -> H2 + P ] 5.25E-11 0.000 2512.49 Wang et al. (2016)/Twarowski (1995)
+#95 [ H2 + P -> PH + H ] 6.7E-10 0.0 17349.00 Douglas et al. (2022)
+59 [ H + PH -> P + H2 ] 1.540E-15 1.5073 5.7185 Klippenstein calculation
+61 [ H + P2O -> OH + P2 ] 5.25E-11 0.000 2807.16 Wang et al. (2016)/Twarowski (1995)
+63 [ H + P2O -> PO + PH ] 5.25E-11 0.000 2810.76 Wang et al. (2016)/Twarowski (1995)
+65 [ H + P2O -> HPO + P ] 5.25E-11 0.000 6013.62 Wang et al. (2016)/Twarowski (1995)
+67 [ H + P2O2 -> PO + HPO ] 5.25E-11 0.000 6013.62 Wang et al. (2016)/Twarowski (1995)
+69 [ H + H2POH -> H2O + PH2 ] 5.25E-11 0.000 6013.62 Wang et al. (2016)/Twarowski (1995)
+71 [ H + H2POH -> H2 + HPOH ] 5.25E-11 0.000 2089.13 Wang et al. (2016)/Twarowski (1995)
+73 [ H + HPOH -> H2O + PH ] 5.25E-11 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+75 [ H + HPOH -> H2 + HPO ] 5.25E-11 0.000 2863.68 Wang et al. (2016)/Twarowski (1995)
+#115 [ O + HOPO -> OH + PO2 ] 5.25E-11 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+77 [ O + HOPO -> OH + PO2 ] 1.660E-11 0.000 0.00 Jayaweera+05; Glaude+00
+79 [ O + HOPO2 -> O2 + HOPO ] 5.25E-11 0.000 4150.60 Wang et al. (2016)/Twarowski (1995)
+#81 [ O + PO3 -> O2 + PO2 ] 5.25E-11 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+81 [ O + PO3 -> O2 + PO2 ] 5.04E-11 -0.04 0.00 Plane_et_al.(2021)
+83 [ O + P2O3 -> PO + PO3 ] 5.25E-11 0.000 6013.62 Wang et al. (2016)/Twarowski (1995)
+85 [ O + P2O3 -> PO2 + PO2 ] 5.25E-11 0.000 6013.62 Wang et al. (2016)/Twarowski (1995)
+#125 [ O + HPO -> H + PO2 ] 5.25E-11 0.000 6013.62 Wang et al. (2016)/Twarowski (1995)
+87 [ O + HPO -> H + PO2 ] 1.660E-11 0.000 1511.00 Jayaweera+05
+#127 [ O + HPO -> OH + PO ] 5.25E-11 0.000 1392.75 Wang et al. (2016)/Twarowski (1995)
+89 [ O + HPO -> OH + PO ] 2.823E-16 1.500 0.00 Jayaweera+05
+91 [ O + P2 -> PO + P ] 5.25E-11 0.000 2288.78 Wang et al. (2016)/Twarowski (1995)
+#131 [ O + PH3 -> OH + PH2 ] 5.25E-11 0.000 1418.01 Wang et al. (2016)/Twarowski (1995)
+93 [ O + PH3 -> OH + PH2 ] 2.855E-18 2.296 915.60 Wang+05
+95 [ O + PH3 -> HPOH + H ] 4.75E-11 0.000 0.0 Nava and Stief (1989) 208-408
+97 [ O + PH2 -> H + HPO ] 5.25E-11 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+99 [ O + PH2 -> OH + PH ] 5.25E-11 0.000 1864.22 Wang et al. (2016)/Twarowski (1995)
+#141 [ O + PH -> H + PO ] 5.25E-11 0.000 1201.52 Wang et al. (2016)/Twarowski (1995)
+101 [ O + PH -> PO + H ] 2.00E-10 0.0 0.0 Douglas et al. (2022)
+103 [ O + PH -> OH + P ] 5.25E-11 0.000 1873.84 Wang et al. (2016)/Twarowski (1995)
+105 [ O + P2O -> O2 + P2 ] 5.25E-11 0.000 1704.26 Wang et al. (2016)/Twarowski (1995)
+107 [ O + P2O -> PO + PO ] 5.25E-11 0.000 849.12 Wang et al. (2016)/Twarowski (1995)
+109 [ O + P2O -> PO2 + P ] 5.25E-11 0.000 6013.62 Wang et al. (2016)/Twarowski (1995)
+111 [ O + P2O2 -> O2 + P2O ] 5.25E-11 0.000 3089.80 Wang et al. (2016)/Twarowski (1995)
+113 [ O + P2O2 -> PO + PO2 ] 5.25E-11 0.000 6013.62 Wang et al. (2016)/Twarowski (1995)
+115 [ O + H2POH -> OH + HPOH ] 5.25E-11 0.000 1408.39 Wang et al. (2016)/Twarowski (1995)
+117 [ O + HPOH -> H + HOPO ] 5.25E-11 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+119 [ O + HPOH -> OH + HPO ] 5.25E-11 0.000 2310.43 Wang et al. (2016)/Twarowski (1995)
+#161 [ OH + PO -> H + PO2 ] 5.25E-13 0.000 3004.40 Wang et al. (2016)/Twarowski (1995)
+121 [ OH + PO -> H + PO2 ] 1.2E-10 0.000 0.0 Douglas et al. (2022)
+#163 [ OH + HOPO -> H2O + PO2 ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+123 [ OH + HOPO -> H2O + PO2 ] 6.17E-11 -0.219 1610.30 Mackie et al. (2002)
+#125 [ OH + HOPO -> H + HOPO2 ] 5.25E-13 0.000 4886.67 Wang et al. (2016)/Twarowski (1995)
+125 [ OH + HOPO -> H + HOPO2 ] 7.69E-08 -1.25 0.0 Plane_et_al.(2021)
+#163 [ OH + PO3 -> O + HOPO2 ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+127 [ O + HOPO2 -> OH + PO3 ] 1.660E-11 0.000 6194.00 Jayaweera+05; Glaude+00
+129 [ OH + P2O3 -> PO + HOPO2 ] 5.25E-13 0.000 6013.62 Wang et al. (2016)/Twarowski (1995)
+131 [ OH + P2O3 -> PO2 + HOPO ] 5.25E-13 0.000 6013.62 Wang et al. (2016)/Twarowski (1995)
+#169 [ OH + HPO -> H2O + PO ] 5.25E-13 0.000 873.18 Wang et al. (2016)/Twarowski (1995)
+133 [ OH + HPO -> H2O + PO ] 2.000E-18 2.000 1007.00 **Jayaweera+05; cap at 2e-10 low T (sign typo for Ea in file?)
+135 [ OH + HPO -> H + HOPO ] 5.25E-13 0.000 6013.62 Wang et al. (2016)/Twarowski (1995)
+#177 [ OH + P -> H + PO ] 5.25E-11 0.000 2344.11 Wang et al. (2016)/Twarowski (1995)
+137 [ OH + P -> H + PO ] 3.61E-11 -0.29 0.0 Douglas et al. (2022)
+139 [ OH + PH3 -> H2O + PH2 ] 2.71E-11 0.000 155.15 Fritz et al. (1982) 250-450
+141 [ OH + PH3 -> H + H2POH ] 5.25E-13 0.000 6013.62 Wang et al. (2016)/Twarowski (1995)
+143 [ OH + PH2 -> H2O + PH ] 5.25E-13 0.000 1126.95 Wang et al. (2016)/Twarowski (1995)
+145 [ OH + PH2 -> H + HPOH ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+#187 [ OH + PH -> H2O + P ] 5.25E-13 0.000 1223.17 Wang et al. (2016)/Twarowski (1995)
+147 [ OH + PH -> H2O + P ] 3.86E-11 0.167 0.0 Douglas et al. (2022)
+149 [ OH + PH -> H + HPO ] 5.25E-13 0.000 2287.58 Wang et al. (2016)/Twarowski (1995)
+151 [ OH + P2O -> H + P2O2 ] 5.25E-13 0.000 7167.03 Wang et al. (2016)/Twarowski (1995)
+153 [ OH + P2O -> HOPO + P ] 5.25E-13 0.000 6013.62 Wang et al. (2016)/Twarowski (1995)
+155 [ OH + P2O2 -> PO + HOPO ] 5.25E-13 0.000 6013.62 Wang et al. (2016)/Twarowski (1995)
+157 [ OH + H2POH -> H2O + HPOH ] 5.25E-13 0.000 823.87 Wang et al. (2016)/Twarowski (1995)
+159 [ OH + HPOH -> H2O + HPO ] 5.25E-13 0.000 1650.14 Wang et al. (2016)/Twarowski (1995)
+161 [ HO2 + PO -> O2 + HPO ] 5.25E-13 0.000 3396.49 Wang et al. (2016)/Twarowski (1995)
+163 [ HO2 + PO -> O + HOPO ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+#165 [ HO2 + PO -> OH + PO2 ] 5.25E-13 0.000 908.06 Wang et al. (2016)/Twarowski (1995)
+165 [ HO2 + PO -> OH + PO2 ] 3.49E-12 0.000 -251.61 Jayaweera+05
+#167 [ HO2 + PO2 -> O2 + HOPO ] 5.25E-13 0.000 315.11 Wang et al. (2016)/Twarowski (1995)
+167 [ O2 + HOPO -> HO2 + PO2 ] 1.16E-11 0.000 22795.84 Jayaweera+05
+169 [ HO2 + PO2 -> O + HOPO2 ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+#171 [ HO2 + PO2 -> OH + PO3 ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+171 [ HO2 + PO2 -> OH + PO3 ] 8.30E-13 0.000 0.0 Jayaweera+05
+#173 [ HO2 + HOPO -> OH + HOPO2 ] 5.25E-13 0.000 1860.61 Wang et al. (2016)/Twarowski (1995)
+173 [ HO2 + HOPO -> OH + HOPO2 ] 2.49E-10 0.000 11875.98 Jayaweera+05
+175 [ HO2 + HOPO -> H2O2 + PO2 ] 4.15E-12 0.000 11725.02 Jayaweera+05
+177 [ HO2 + HOPO2 -> H2O2 + PO3 ] 4.15E-12 0.000 12379.20 Jayaweera+05
+#175 [ HO2 + PO3 -> O2 + HOPO2 ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+179 [ O2 + HOPO2 -> HO2 + PO3 ] 1.16E-11 0.000 33212.49 Jayaweera+05
+181 [ HO2 + HPO -> O2 + HPOH ] 5.25E-13 0.000 5135.63 Wang et al. (2016)/Twarowski (1995)
+183 [ HO2 + P -> O2 + PH ] 5.25E-11 0.000 3420.55 Wang et al. (2016)/Twarowski (1995)
+185 [ HO2 + P -> OH + PO ] 5.25E-11 0.000 922.49 Wang et al. (2016)/Twarowski (1995)
+187 [ HO2 + P2 -> OH + P2O ] 5.25E-13 0.000 2549.77 Wang et al. (2016)/Twarowski (1995)
+189 [ HO2 + PH2 -> O2 + PH3 ] 5.25E-13 0.000 2639.98 Wang et al. (2016)/Twarowski (1995)
+191 [ HO2 + PH2 -> O + H2POH ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+193 [ HO2 + PH -> O2 + PH2 ] 5.25E-13 0.000 2629.15 Wang et al. (2016)/Twarowski (1995)
+195 [ HO2 + PH -> O + HPOH ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+197 [ HO2 + PH -> OH + HPO ] 5.25E-13 0.000 796.20 Wang et al. (2016)/Twarowski (1995)
+199 [ HO2 + P2O -> OH + P2O2 ] 5.25E-13 0.000 2265.93 Wang et al. (2016)/Twarowski (1995)
+201 [ HO2 + HPOH -> O2 + H2POH ] 5.25E-13 0.000 2658.02 Wang et al. (2016)/Twarowski (1995)
+203 [ PO + HOPO2 -> PO2 + HOPO ] 5.25E-13 0.000 4895.08 Wang et al. (2016)/Twarowski (1995)
+#237 [ PO + PO3 -> PO2 + PO2 ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+205 [ PO + PO3 -> PO2 + PO2 ] 8.30E-13 0.000 0.0 Jayaweera+05
+207 [ PO + P2O -> PO2 + P2 ] 5.25E-13 0.000 2050.64 Wang et al. (2016)/Twarowski (1995)
+209 [ PO + P2O2 -> PO2 + P2O ] 5.25E-13 0.000 3612.98 Wang et al. (2016)/Twarowski (1995)
+211 [ PO + H2POH -> HOPO + PH2 ] 5.25E-13 0.000 6013.62 Wang et al. (2016)/Twarowski (1995)
+213 [ PO + HPOH -> HOPO + PH ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+215 [ PO + HPOH -> HPO + HPO ] 5.25E-13 0.000 5082.71 Wang et al. (2016)/Twarowski (1995)
+#217 [ PO2 + O3 -> PO3 + O2 ] 3.72E-11 0.000 1131.00 Plane_et_al.(2021)
+217 [ PO2 + HPO -> H + P2O3 ] 5.25E-13 0.000 6013.62 Wang et al. (2016)/Twarowski (1995)
+#251 [ PO2 + HPO -> PO + HOPO ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+219 [ PO2 + HPO -> PO + HOPO ] 3.321E-13 0.000 0.0 Jayaweera+05
+221 [ PO2 + P -> PO + PO ] 5.25E-11 0.000 2472.80 Wang et al. (2016)/Twarowski (1995)
+223 [ PO2 + PH3 -> HOPO + PH2 ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+225 [ PO2 + PH2 -> HOPO + PH ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+227 [ PO2 + PH -> PO + HPO ] 5.25E-13 0.000 2418.68 Wang et al. (2016)/Twarowski (1995)
+229 [ PO2 + PH -> HOPO + P ] 5.25E-13 0.000 36.08 Wang et al. (2016)/Twarowski (1995)
+231 [ PO2 + P2O -> PO3 + P2 ] 5.25E-13 0.000 309.10 Wang et al. (2016)/Twarowski (1995)
+233 [ PO2 + P2O -> P2O3 + P ] 5.25E-13 0.000 6013.62 Wang et al. (2016)/Twarowski (1995)
+235 [ PO2 + P2O2 -> PO + P2O3 ] 5.25E-13 0.000 6013.62 Wang et al. (2016)/Twarowski (1995)
+237 [ PO2 + H2POH -> HOPO + HPOH ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+239 [ PO2 + H2POH -> HOPO2 + PH2 ] 5.25E-13 0.000 6013.62 Wang et al. (2016)/Twarowski (1995)
+241 [ PO2 + HPOH -> HOPO + HPO ] 5.25E-13 0.000 894.83 Wang et al. (2016)/Twarowski (1995)
+243 [ PO2 + HPOH -> HOPO2 + PH ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+#277 [ HOPO + PO3 -> PO2 + HOPO2 ] 5.25E-13 0.000 730.05 Wang et al. (2016)/Twarowski (1995) (Desc.)
+245 [ HOPO + PO3 -> PO2 + HOPO2 ] 8.300E-13 0.620 0.00 Jayaweera+05 (Desc.)
+247 [ HOPO + P2O -> HOPO2 + P2 ] 5.25E-13 0.000 18040.85 Wang et al. (2016)/Twarowski (1995)
+249 [ HOPO + P2O2 -> HOPO2 + P2O ] 5.25E-13 0.000 18040.85 Wang et al. (2016)/Twarowski (1995)
+251 [ HOPO2 + P -> PO + HOPO ] 5.25E-11 0.000 3445.80 Wang et al. (2016)/Twarowski (1995)
+253 [ HOPO2 + PH -> HOPO + HPO ] 5.25E-13 0.000 3502.33 Wang et al. (2016)/Twarowski (1995)
+#287 [ PO3 + HPO -> PO + HOPO2 ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+255 [ PO3 + HPO -> PO + HOPO2 ] 3.321E-13 0.000 0.0 Jayaweera+05
+257 [ PO3 + P -> PO + PO2 ] 5.25E-11 0.000 18.04 Wang et al. (2016)/Twarowski (1995)
+259 [ PO3 + PH3 -> HOPO2 + PH2 ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+261 [ PO3 + PH2 -> HOPO2 + PH ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+263 [ PO3 + PH -> PO2 + HPO ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+265 [ PO3 + PH -> HOPO2 + P ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+267 [ PO3 + P2O -> PO2 + P2O2 ] 5.25E-13 0.000 917.68 Wang et al. (2016)/Twarowski (1995)
+269 [ PO3 + H2POH -> HOPO2 + HPOH ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+271 [ PO3 + HPOH -> HOPO2 + HPO ] 5.25E-13 0.000 0.0 Wang et al. (2016)/Twarowski (1995)
+273 [ HPO + P -> PO + PH ] 5.25E-11 0.000 3474.67 Wang et al. (2016)/Twarowski (1995)
+275 [ HPO + PH2 -> PO + PH3 ] 5.25E-13 0.000 2466.79 Wang et al. (2016)/Twarowski (1995)
+277 [ HPO + PH -> PO + PH2 ] 5.25E-13 0.000 2475.21 Wang et al. (2016)/Twarowski (1995)
+279 [ HPO + HPOH -> PO + H2POH ] 5.25E-13 0.000 2489.64 Wang et al. (2016)/Twarowski (1995)
+#313 [ P + PH -> H + P2 ] 5.25E-11 0.000 2013.36 Wang et al. (2016)/Twarowski (1995) (Disc.)
+281 [ P + PH -> H + P2 ] 3.660E-11 0.198 -1.166 Klippenstein calculation (Disc.)
+283 [ P + P2O -> PO + P2 ] 5.25E-11 0.000 1467.32 Wang et al. (2016)/Twarowski (1995)
+285 [ P + P2O2 -> PO + P2O ] 5.25E-11 0.000 2815.58 Wang et al. (2016)/Twarowski (1995)
+287 [ P + HPOH -> HPO + PH ] 5.25E-11 0.000 4874.64 Wang et al. (2016)/Twarowski (1995)
+289 [ PH3 + PH -> PH2 + PH2 ] 5.25E-13 0.000 2759.05 Wang et al. (2016)/Twarowski (1995)
+291 [ PH3 + HPOH -> PH2 + H2POH ] 5.25E-13 0.000 2830.01 Wang et al. (2016)/Twarowski (1995)
+#325 [ PH2 + PH -> P + PH3 ] 5.25E-13 0.000 3442.19 Wang et al. (2016)/Twarowski (1995) (Disc.)
+293 [ PH2 + PH -> P + PH3 ] 2.510E-21 2.9224 -240.52 Klippenstein calculation (Disc.)
+295 [ PH2 + HPOH -> HPO + PH3 ] 5.25E-13 0.000 3825.86 Wang et al. (2016)/Twarowski (1995)
+297 [ PH + PH -> P + PH2 ] 5.25E-13 0.000 3317.11 Wang et al. (2016)/Twarowski (1995)
+#295 [ PH + PH -> P2H + H ] 1.000E-10 0.000 1000.00 No_ref.(Visscher&Moses): Est. based on 2NH = N2H + H
+299 [ PH + P2O -> HPO + P2 ] 5.25E-13 0.000 1721.10 Wang et al. (2016)/Twarowski (1995)
+301 [ PH + P2O2 -> HPO + P2O ] 5.25E-13 0.000 2804.75 Wang et al. (2016)/Twarowski (1995)
+303 [ PH + H2POH -> PH2 + HPOH ] 5.25E-13 0.000 2731.39 Wang et al. (2016)/Twarowski (1995)
+305 [ PH + HPOH -> HPO + PH2 ] 5.25E-13 0.000 3675.52 Wang et al. (2016)/Twarowski (1995)
+307 [ PH + HPOH -> P + H2POH ] 5.25E-13 0.000 3479.48 Wang et al. (2016)/Twarowski (1995)
+309 [ P2O + P2O -> P2 + P2O2 ] 5.25E-13 0.000 18040.85 Wang et al. (2016)/Twarowski (1995)
+311 [ HPOH + HPOH -> HPO + H2POH ] 5.25E-13 0.000 3858.34 Wang et al. (2016)/Twarowski (1995)
+#315 [ P2O4 + H2O -> HOPO + HOPO2 ] 1.66E-13 0.000 0.00 Jayaweera+05
+#317 [ P2O5 + H2O -> HOPO2 + HOPO2 ] 1.66E-13 0.000 0.00 Jayaweera+05
+#300 [ H + HPO2 -> H2 + PO2 ] 3.99E-16 1.50 2516.10 Jayaweera+05;Glaude+00
+#319 [ H + HPO2 -> H2 + PO2 ] 5.42E-11 0.0 1548.00 Plane_et_al.(2021)
+#321 [ O + HPO2 -> OH + PO2 ] 2.82E-16 1.50 1258.05 Jayaweera+05;Glaude+00
+#323 [ O2 + HPO2 -> HO2 + PO2 ] 1.16E-11 0.00 17310.75 Jayaweera+05;Glaude+00
+#325 [ OH + HPO2 -> H2O + PO2 ] 1.99E-18 2.00 -1006.44 Jayaweera+05;Glaude+00
+#327 [ OH + HPO2 -> H + HOPO2 ] 1.66E-12 0.00 1006.44 Jayaweera+05;Glaude+00
+#327 [ OH + HPO2 -> H + HOPO2 ] 8.32E-11 0.010 0.0 Plane_et_al.(2021)
+#329 [ OH + HPO2 -> OH + HOPO ] 1.13E-12 0.363 0.0 Plane_et_al.(2021)
+#329 [ HO2 + HPO2 -> H2O2 + PO2 ] 3.32E-13 0.00 5032.20 Jayaweera+05;Glaude+00
+#331 [ HPO + PO2 -> HPO2 + PO ] 1.66E-13 0.00 0.00 Jayaweera+05;Glaude+00
+#333 [ HPO2 + PO2 -> HOPO + PO2 ] 8.30E-13 0.00 0.00 Jayaweera+05;Glaude+00
+#335 [ HPO2 + PO3 -> HOPO2 + PO2 ] 8.30E-13 0.00 0.00 Jayaweera+05;Glaude+00
+313 [ H3PO4 -> HOPO2 + H2O ] 88103.511 2.12 19604.37 2021LIZ/SIR719-727 500-2000 (change units)
+315 [ He -> He ] 0.00E+00 0.000 0.00
+
+# 3-body and Disscoiation Reactions
+# id # Reactions A_0 B_0 C_0 A_inf B_inf C_inf Ref Temp
+
+317 [ H + H + M -> H2 + M ] 2.70E-31 -0.600 0.0 3.31E-06 -1.000 0.0 100-5000, ??
+319 [ H + O + M -> OH + M ] 1.30E-29 -1.000 0.0 1.00E-11 0.000 0.0 300-2500, ??
+321 [ OH + H + M -> H2O + M ] 3.89E-25 -2.000 0.0 4.26E-11 0.230 -57.5 300-3000, 300-3000
+323 [ H + O2 + M -> HO2 + M ] 2.17E-29 -1.100 0.0 7.51E-11 0.0 0.0 2012TUR/NAG284-302 / 1997ATK/BAU1329-1499 300-1850, 200-400
+325 [ HO2 + HO2 + M -> H2O2 + O2 + M ] 1.90E-33 0. -980.0 2.20E-13 0. -600. 1997ATK/BAU1329-1499 / 2004ATK/BAU1461-1738 200-300, 230-420
+327 [ OH + OH + M -> H2O2 + M ] 7.97E-31 -0.760 0.0 1.51E-11 -0.370 0.0 1992BAU/COB411-429 / 1992BAU/COB411-429 250-1400 /200-1400
+#363 [ PH3 + M -> PH2 + H + M ] 3.40E-08 0.0 35644.0 1.91E+18 0.0 40063.0 Paul Rimmer (Estimate from Cardelino et al. 2003 data)
+#327 [ PH3 + M -> PH2 + H + M ] 5.2E+16 -6.2 11787.41 4.08E+13 0.81 44141.77 Baptista&Almeida(2023)
+329 [ H + PH2 + M -> PH3 + M ] 4.320E-24 -2.1662 211.18 1.220E-10 0.200 -8.013 **Klippenstein calculation, this work
+331 [ H + PO2 + M -> HOPO + M ] 7.95E-17 -4.33 513.28 1.91E-14 1.29 -754.83 Haworth et al. (2002)
+333 [ OH + PO2 + M -> HOPO2 + M ] 0.28E+00 -8.59 4528.98 2.57e-10 -0.24 0.0 Haworth et al. (2002)
+335 [ H + P2 + M -> P2H + M ] 2.470E-27 -1.230 152.00 1.450E-11 0.540 -58.9 Klippenstein calculation
+#335 [ PO + PO2 + M -> P2O3 + M ] 2.757E-28 -2.000 0.00 6.642E-10 -1.000 0.00 Jayaweera+05
+337 [ PO + PO2 + M -> P2O3 + M ] 1.49E-15 -4.25 0.00 2.819E-10 0.167 0.00 Plane_calculation
+#361 [ PO2 + PO2 + M -> P2O4 + M ] 5.51E-28 -2.000 0.00 9.96E-10 -1.000 0.00 Jayaweera+05
+#363 [ PO2 + PO3 + M -> P2O5 + M ] 1.38E-27 -2.000 0.00 9.96E-10 -1.000 0.00 Jayaweera+05
+339 [ H + P + M -> PH + M ] 9.26E-30 -1.10 357.21 1.79E-12 -0.13 459.99 Wang_k_0+Babtista_k_inf
+#339 [ H + PH + M -> PH2 + M ] 1.757E-28 -1.012 295.70 8.07E-11 0.67 120.36 Wang_k_0+Babtista_k_inf
+341 [ H + PH + M -> PH2 + M ] 2.91e-28 -1.10 94.5 7.98e-11 0.222 0.535 **Klippenstein calculation, this work
+343 [ PH2 + PH2 + M -> P2H4 + M ] 5.480E-15 -4.836 351.60 1.670E-10 -0.105 45.000 No_ref.(Visscher&Moses)
+345 [ P2H2 + H2 + M -> P2H4 + M ] 6.550E-10 -6.990 6363.00 8.510E-19 2.238 4674.00 No_ref.(Visscher&Moses)
+#345 [ P + P + M -> P2 + M ] 7.191e-27 -1.67 477.2 3.000E-11 0.000 0.0 based on Twarowski 95; k_infty est
+#347 [ P2 + P2 + M -> P4 + M ] 3.721E-26 -1.867 545.40 1.000E-11 0.000 500.00 based on Twarowski 95; k_infty est
+347 [ OH + P + M -> HPO + M ] 1.241E-25 -1.950 670.00 4.12E-10 0.16 128.41 based on Wang_k_0 OH + PO w. Babtista_k_inf
+#339 [ P2O3 + P2O3 + M -> P4O6 + M ] 1.000E-25 -2.000 500.00 1.000E-16 0.000 0.00 No_ref.(Visscher&Moses)
+349 [ P2O3 + P2O3 + M -> P4O6 + M ] 5.925E-18 -2.99 0.0 3.263E-10 0.166 0.0 Plane_Calculation
+
+
+# 3-body reactions without high-pressure rates
+# id # Reactions A_0 B_0 C_0 Ref Temp
+
+351 [ O + O + M -> O2 + M ] 5.21E-35 0. -900. 1986TSA/HAM1087
+353 [ H + PO + M -> HPO + M ] 1.241E-25 -1.950 670.00 Jayaweera+05;Twarowski95
+355 [ H + PO3 + M -> HOPO2 + M ] 3.309E-23 -2.370 720.00 Jayaweera+05;Twarowski95
+357 [ H + HPO + M -> HPOH + M ] 7.549E-26 -1.422 415.50 based_on_Twarowski95
+359 [ H + HPOH + M -> H2POH + M ] 9.619E-24 -1.885 550.80 based_on_Twarowski95
+361 [ O + PO + M -> PO2 + M ] 1.103E-22 -2.630 866.00 Jayaweera+05;Twarowski95
+363 [ O + PO2 + M -> PO3 + M ] 8.962E-21 -3.150 946.70 Jayaweera+05;Twarowski95
+365 [ O + HOPO + M -> HOPO2 + M ] 8.273E-21 -2.990 1027.00 Jayaweera+05;Twarowski95
+367 [ O + P + M -> PO + M ] 1.642E-29 -0.747 218.20 based_on_Twarowski95
+369 [ OH + PO + M -> HOPO + M ] 6.894E-27 -2.090 800.70 Jayaweera+05;Twarowski95
+371 [ OH + PH2 + M -> H2POH + M ] 5.715E-29 -1.223 357.20 based_on_Twarowski95
+373 [ OH + PH + M -> HPOH + M ] 2.175E-33 -0.415 121.40 based_on_Twarowski95
+375 [ O + P2 + M -> P2O + M ] 7.774E-31 -0.844 265.5 based_on_Twarowski95
+377 [ O + PH + M -> HPO + M ] 2.162E-33 -0.309 97.2 based_on_Twarowski95
+379 [ O + P2O + M -> P2O2 + M ] 5.995E-34 -0.268 84.4 based_on_Twarowski95
+381 [ PO + PO + M -> P2O2 + M ] 2.117E-28 -2.077 595.2 based_on_Twarowski95
+383 [ PO + P + M -> P2O + M ] 2.640E-24 -2.41 690.7 based_on_Twarowski95
+385 [ HOPO2 + H2O + M -> H3PO4 + M ] 1.35E-07 -7.53 0.0 Douglas_et_al.(2022)
+387 [ P + P + M -> P2 + M ] 7.191e-27 -1.67 477.2 based_on_Twarowski95
+389 [ P2 + P2 + M -> P4 + M ] 3.721E-26 -1.867 545.40 based_on_Twarowski95
+#341 [ H + PH + M -> PH2 + M ] 1.757E-28 -1.012 295.70 based_on_Twarowski95
+#409 [ HPO2 + M -> HOPO + M ] 3.90E-10 0.000 23349.39 Jayaweera+05;Glaude+00
+#411 [ H + PO2 + M -> HPO2 + M ] 2.60E-22 -2.31 0.0 Plane_et_al.(2021)_w_2.5_H2_fact
+#415 [ HPO2 + H2O + M -> H3PO3 + M ] 8.30E-30 0.883 0.0 Plane_et_al.(2021)_w_2.5_H2_fact
+#349 [ P2H2 + M -> P2 + H2 + M ] 1.000E-16 0.000 24000.00 No_ref.(Visscher&Moses)
+
+# special cases
+# id # Reactions
+#387 [ H2O + HOPO2 + M -> H3PO4 + M ]
+
+# reverse stops
+# condensation
+
+# photo disscoiation (no reversals) # use sp to link br_index to RXXX
+# id # Reactions sp br_index #(starting from 1)
+
+391 [ H2O -> H + OH ] H2O 1
+393 [ H2O -> H2 + O_1 ] H2O 2
+395 [ H2O -> H + H + O ] H2O 3
+397 [ H2 -> H + H ] H2 1
+399 [ OH -> H + O ] OH 1
+401 [ HO2 -> O + OH ] HO2 1
+403 [ H2O2 -> OH + OH ] H2O2 1
+405 [ O2 -> O + O ] O2 1
+407 [ O2 -> O + O_1 ] O2 2
+409 [ PH -> P + H ] PH 1
+411 [ PH2 -> PH + H ] PH2 1
+413 [ PH3 -> PH2 + H ] PH3 1
+415 [ PO -> P + O ] PO 1
+417 [ PO2 -> PO + O ] PO2 1
+419 [ HOPO -> H + PO2 ] HOPO 1
+421 [ HOPO2 -> OH + PO2 ] HOPO2 1
+423 [ P2 -> P + P ] P2 1
+425 [ P2H2 -> PH + PH ] P2H2 1
+427 [ P2H4 -> PH2 + PH2 ] P2H4 1
+#441 [ HPO2 -> H + PO2 ] HPO2 1
+#441 [ PH3 -> PH + H2 ] PH3 2
+# re_end
+
+
+### Wanted reactions
+#23 [ P_2D + H2O -> PO + H2 ] 1.6E-11 0.0 0.0 Douglas et al. (2022)
+#25 [ P_2D + H2O -> P + H2O ] 3.0E-11 0.0 0.0 Douglas et al. (2022)
+#27 [ P_2D + O2 -> PO + O ] 1.12E-13 0.82 -177.00 Douglas et al. (2022)
+#29 [ P_2D + H2 -> P + H2 ] 8.0E-11 0.0 699.00 Douglas et al. (2022)
+
+### Discarded
+#357 [ H3PO4 + M -> H2O + HOPO2 + M ] 3.49E-17 1.46 21167.91 2004SUL/SUM4296-4309 300-1500
+#343 [ PH2 + PH2 -> P2H4 ] 8.97E-12 0.000 22946.81 1981FER/BEN1922 w. Pimmentel Ea
+#345 [ PH2 + PH2 -> P2H2 + H2 ] 8.97E-12 0.000 9309.56 1981FER/BEN1922 w. Pimmentel Ea
+#349 [ H2 + P2H2 -> P2H4 ] 5.25E-13 0.000 18040.85 Est. (molecule + molecule)
+
+### Decomposition reactions from Twarowski - for conversion to tertiary (+ M) reactions or replacement
+#31 [ H + PO -> HPO ] 3.11E-02 -1.96 639.85 Wang et al. (2016)/Twarowski (1995)
+#23 [ HPO -> H + PO ] 2.03E+09 1.279 26690.87 Baptista&Almeida(2023)
+#25 [ H + PO2 -> HOPO ] 2.64E+03 -3.03 964.58 Wang et al. (2016)/Twarowski (1995) - (see 3 body for alt.)
+#31 [ H + PO3 -> HOPO2 ] 6.19E+00 -2.32 757.72 Wang et al. (2016)/Twarowski (1995)
+#31 [ H + HPO -> HPOH ] 2.84E+01 -2.65 864.76 Wang et al. (2016)/Twarowski (1995)
+#29 [ H + P -> PH ] 5.58E-06 -1.10 357.21 Wang et al. (2016)/Twarowski (1995)
+#31 [ H + P -> PH ] 1.4788E-12 -0.13 459.99 Baptista&Almeida(2023)
+#29 [ PH -> P + H ] 9.72E+10 0.12 36940.07 Baptista&Almeida(2023)
+#27 [ H + PH2 -> PH3 ] 2.19E+01 -2.67 871.97 Wang et al. (2016)/Twarowski (1995)
+#31 [ H + PH2 -> PH3 ] 3.70E-10 0.0 340.00 Kaye and Strobel (1984)
+#31 [ H + PH -> PH2 ] 2.08E-26 -1.89 615.79 Wang et al. (2016)/Twarowski (1995)
+#33 [ H + PH -> PH2 ] 8.07e-11 0.67 120.36 Baptista&Almeida(2023)
+#31 [ PH2 -> H + PH ] 4.08E+13 0.20 40982.2 Baptista&Almeida(2023)
+#31 [ H + HPOH -> H2POH ] 9.32E+04 -3.52 1147.40 Wang et al. (2016)/Twarowski (1995)
+#33 [ O + PO -> PO2 ] 6.79E+00 -2.44 796.20 Wang et al. (2016)/Twarowski (1995)
+#35 [ O + PO2 -> PO3 ] 2.34E+03 -3.15 1027.13 Wang et al. (2016)/Twarowski (1995)
+#37 [ O + HOPO -> HOPO2 ] 1.83E+02 -2.67 869.57 Wang et al. (2016)/Twarowski (1995)
+#39 [ O + P -> PO ] 2.64E-04 -1.39 454.63 Wang et al. (2016)/Twarowski (1995)
+#31 [ O + P2 -> P2O ] 8.29E-08 -0.73 236.94 Wang et al. (2016)/Twarowski (1995)
+#33 [ O + PH -> HPO ] 3.87E-10 -0.27 86.87 Wang et al. (2016)/Twarowski (1995)
+#37 [ O + P2O -> P2O2 ] 1.12E-10 -0.23 75.41 Wang et al. (2016)/Twarowski (1995)
+#49 [ OH + PO -> HOPO ] 5.62E-05 -1.64 534.01 Wang et al. (2016)/Twarowski (1995)
+#55 [ OH + PO2 -> HOPO2 ] 1.88E+06 -4.06 1323.00 Wang et al. (2016)/Twarowski (1995)
+#51 [ OH + PH2 -> H2POH ] 1.34E-02 -2.28 743.28 Wang et al. (2016)/Twarowski (1995)
+#53 [ OH + PH -> HPOH ] 1.48E-08 -0.93 303.09 Wang et al. (2016)/Twarowski (1995)
+#39 [ OH + P -> HPO ] 4.12e-10 0.16 128.41 Baptista&Almeida(2023) - note mistake for Ea in paper
+#57 [ HPO -> P + OH ] 2.34E+17 -0.61 43106.66 Baptista&Almeida(2023)
+#41 [ PO + PO -> P2O2 ] 1.57E-05 -1.90 618.20 Wang et al. (2016)/Twarowski (1995)
+#61 [ PO + PO2 -> P2O3 ] 7.82E+06 -4.41 1431.24 Wang et al. (2016)/Twarowski (1995)
+#43 [ PO + P -> P2O ] 1.63E-01 -2.20 716.82 Wang et al. (2016)/Twarowski (1995)
+
+### Plane reactions (unused, likely, need NASA polynomials)
+#357 [ OP(OH)2 + H -> HOPO2 + H2 ] 1.16E-11 0.5 0.0 Plane et al. (2021)
+#359 [ HPOOH + O -> HOPO2 + OH ] 1.16E-11 0.5 0.0 Plane et al. (2021)
+#361 [ HPOOH + H -> HOPO + H2 ] 1.16E-11 0.5 0.0 Plane et al. (2021)
+#363 [ HPOOH + O -> PO2 + H2O ] 5.89E-11 0.125 0.0 Plane et al. (2021)
+#365 [ HPOOH + O -> HOPO2 + H ] 3.45E-11 -0.028 0.0 Plane et al. (2021)
+#367 [ HPOOH + O -> HPO2 + OH ] 2.11E-11 -0.018 0.0 Plane et al. (2021)
+#369 [ HPOOH + O -> HOPO + OH ] 2.73E-11 -0.08 0.0 Plane et al. (2021)
+#371 [ HPOOH + OH -> HOPO + H2O ] 1.16E-11 0.5 0.0 Plane et al. (2021)
+#397 [ HOPO2 + H + M -> OP(OH)2 + M ] 7.61E-26 0.358 0.0 Plane et al. (2021)
+#399 [ HOPO + H + M -> HPOOH + M ] 6.77E-21 -3.31 0.0 Plane et al. (2021)
+#370 [ H3PO3 -> OP(OH)2 + H ] H3PO3 1
+#370 [ H3PO4 -> OP(OH)2 + OH ] H3PO4 1
diff --git a/thermo/photo_cross/H3PO3/H3PO3_branch.csv b/thermo/photo_cross/H3PO3/H3PO3_branch.csv
new file mode 100644
index 0000000..1643260
--- /dev/null
+++ b/thermo/photo_cross/H3PO3/H3PO3_branch.csv
@@ -0,0 +1,4 @@
+# Branching ratios for H3PO3 -> H2PO3 + H
+# lambda , br_ratio_1
+120.0, 1.
+219.0, 1.
\ No newline at end of file
diff --git a/thermo/photo_cross/H3PO3/H3PO3_cross.csv b/thermo/photo_cross/H3PO3/H3PO3_cross.csv
new file mode 100644
index 0000000..fc4c965
--- /dev/null
+++ b/thermo/photo_cross/H3PO3/H3PO3_cross.csv
@@ -0,0 +1,101 @@
+# wavelength (nm) photoabsorption photodissociation photoionisation (cm^2)
+120, 1.08E-18, 1.08E-18, 0.0
+121, 1.82E-18, 1.82E-18, 0.0
+122, 2.82E-18, 2.82E-18, 0.0
+123, 4.04E-18, 4.04E-18, 0.0
+124, 5.38E-18, 5.38E-18, 0.0
+125, 6.74E-18, 6.74E-18, 0.0
+126, 7.98E-18, 7.98E-18, 0.0
+127, 9.03E-18, 9.03E-18, 0.0
+128, 9.85E-18, 9.85E-18, 0.0
+129, 1.04E-17, 1.04E-17, 0.0
+130, 1.08E-17, 1.08E-17, 0.0
+131, 1.09E-17, 1.09E-17, 0.0
+132, 1.09E-17, 1.09E-17, 0.0
+133, 1.07E-17, 1.07E-17, 0.0
+134, 1.03E-17, 1.03E-17, 0.0
+135, 9.92E-18, 9.92E-18, 0.0
+136, 9.49E-18, 9.49E-18, 0.0
+137, 9.13E-18, 9.13E-18, 0.0
+138, 8.90E-18, 8.90E-18, 0.0
+139, 8.86E-18, 8.86E-18, 0.0
+140, 9.00E-18, 9.00E-18, 0.0
+141, 9.30E-18, 9.30E-18, 0.0
+142, 9.69E-18, 9.69E-18, 0.0
+143, 1.01E-17, 1.01E-17, 0.0
+144, 1.04E-17, 1.04E-17, 0.0
+145, 1.05E-17, 1.05E-17, 0.0
+146, 1.04E-17, 1.04E-17, 0.0
+147, 1.01E-17, 1.01E-17, 0.0
+148, 9.55E-18, 9.55E-18, 0.0
+149, 8.86E-18, 8.86E-18, 0.0
+150, 8.07E-18, 8.07E-18, 0.0
+151, 7.25E-18, 7.25E-18, 0.0
+152, 6.45E-18, 6.45E-18, 0.0
+153, 5.72E-18, 5.72E-18, 0.0
+154, 5.08E-18, 5.08E-18, 0.0
+155, 4.56E-18, 4.56E-18, 0.0
+156, 4.15E-18, 4.15E-18, 0.0
+157, 3.85E-18, 3.85E-18, 0.0
+158, 3.65E-18, 3.65E-18, 0.0
+159, 3.53E-18, 3.53E-18, 0.0
+160, 3.48E-18, 3.48E-18, 0.0
+161, 3.49E-18, 3.49E-18, 0.0
+162, 3.53E-18, 3.53E-18, 0.0
+163, 3.60E-18, 3.60E-18, 0.0
+164, 3.68E-18, 3.68E-18, 0.0
+165, 3.75E-18, 3.75E-18, 0.0
+166, 3.81E-18, 3.81E-18, 0.0
+167, 3.84E-18, 3.84E-18, 0.0
+168, 3.83E-18, 3.83E-18, 0.0
+169, 3.77E-18, 3.77E-18, 0.0
+170, 3.67E-18, 3.67E-18, 0.0
+171, 3.52E-18, 3.52E-18, 0.0
+172, 3.33E-18, 3.33E-18, 0.0
+173, 3.10E-18, 3.10E-18, 0.0
+174, 2.84E-18, 2.84E-18, 0.0
+175, 2.57E-18, 2.57E-18, 0.0
+176, 2.29E-18, 2.29E-18, 0.0
+177, 2.01E-18, 2.01E-18, 0.0
+178, 1.74E-18, 1.74E-18, 0.0
+179, 1.48E-18, 1.48E-18, 0.0
+180, 1.24E-18, 1.24E-18, 0.0
+181, 1.03E-18, 1.03E-18, 0.0
+182, 8.45E-19, 8.45E-19, 0.0
+183, 6.83E-19, 6.83E-19, 0.0
+184, 5.45E-19, 5.45E-19, 0.0
+185, 4.30E-19, 4.30E-19, 0.0
+186, 3.35E-19, 3.35E-19, 0.0
+187, 2.58E-19, 2.58E-19, 0.0
+188, 1.97E-19, 1.97E-19, 0.0
+189, 1.48E-19, 1.48E-19, 0.0
+190, 1.11E-19, 1.11E-19, 0.0
+191, 8.16E-20, 8.16E-20, 0.0
+192, 5.96E-20, 5.96E-20, 0.0
+193, 4.32E-20, 4.32E-20, 0.0
+194, 3.10E-20, 3.10E-20, 0.0
+195, 2.20E-20, 2.20E-20, 0.0
+196, 1.55E-20, 1.55E-20, 0.0
+197, 1.08E-20, 1.08E-20, 0.0
+198, 7.51E-21, 7.51E-21, 0.0
+199, 5.17E-21, 5.17E-21, 0.0
+200, 3.52E-21, 3.52E-21, 0.0
+201, 2.39E-21, 2.39E-21, 0.0
+202, 1.60E-21, 1.60E-21, 0.0
+203, 1.07E-21, 1.07E-21, 0.0
+204, 7.10E-22, 7.10E-22, 0.0
+205, 4.68E-22, 4.68E-22, 0.0
+206, 3.06E-22, 3.06E-22, 0.0
+207, 1.99E-22, 1.99E-22, 0.0
+208, 1.29E-22, 1.29E-22, 0.0
+209, 8.30E-23, 8.30E-23, 0.0
+210, 5.31E-23, 5.31E-23, 0.0
+211, 3.38E-23, 3.38E-23, 0.0
+212, 2.14E-23, 2.14E-23, 0.0
+213, 1.35E-23, 1.35E-23, 0.0
+214, 8.45E-24, 8.45E-24, 0.0
+215, 5.27E-24, 5.27E-24, 0.0
+216, 3.28E-24, 3.28E-24, 0.0
+217, 2.03E-24, 2.03E-24, 0.0
+218, 1.25E-24, 1.25E-24, 0.0
+219, 7.67E-25, 7.67E-25, 0.0
\ No newline at end of file
diff --git a/thermo/photo_cross/H3PO3/H3PO3_ori.txt b/thermo/photo_cross/H3PO3/H3PO3_ori.txt
new file mode 100644
index 0000000..7498483
--- /dev/null
+++ b/thermo/photo_cross/H3PO3/H3PO3_ori.txt
@@ -0,0 +1,102 @@
+#Wavelength H3PO3
+#nm cm2
+120 1.08E-18
+121 1.82E-18
+122 2.82E-18
+123 4.04E-18
+124 5.38E-18
+125 6.74E-18
+126 7.98E-18
+127 9.03E-18
+128 9.85E-18
+129 1.04E-17
+130 1.08E-17
+131 1.09E-17
+132 1.09E-17
+133 1.07E-17
+134 1.03E-17
+135 9.92E-18
+136 9.49E-18
+137 9.13E-18
+138 8.90E-18
+139 8.86E-18
+140 9.00E-18
+141 9.30E-18
+142 9.69E-18
+143 1.01E-17
+144 1.04E-17
+145 1.05E-17
+146 1.04E-17
+147 1.01E-17
+148 9.55E-18
+149 8.86E-18
+150 8.07E-18
+151 7.25E-18
+152 6.45E-18
+153 5.72E-18
+154 5.08E-18
+155 4.56E-18
+156 4.15E-18
+157 3.85E-18
+158 3.65E-18
+159 3.53E-18
+160 3.48E-18
+161 3.49E-18
+162 3.53E-18
+163 3.60E-18
+164 3.68E-18
+165 3.75E-18
+166 3.81E-18
+167 3.84E-18
+168 3.83E-18
+169 3.77E-18
+170 3.67E-18
+171 3.52E-18
+172 3.33E-18
+173 3.10E-18
+174 2.84E-18
+175 2.57E-18
+176 2.29E-18
+177 2.01E-18
+178 1.74E-18
+179 1.48E-18
+180 1.24E-18
+181 1.03E-18
+182 8.45E-19
+183 6.83E-19
+184 5.45E-19
+185 4.30E-19
+186 3.35E-19
+187 2.58E-19
+188 1.97E-19
+189 1.48E-19
+190 1.11E-19
+191 8.16E-20
+192 5.96E-20
+193 4.32E-20
+194 3.10E-20
+195 2.20E-20
+196 1.55E-20
+197 1.08E-20
+198 7.51E-21
+199 5.17E-21
+200 3.52E-21
+201 2.39E-21
+202 1.60E-21
+203 1.07E-21
+204 7.10E-22
+205 4.68E-22
+206 3.06E-22
+207 1.99E-22
+208 1.29E-22
+209 8.30E-23
+210 5.31E-23
+211 3.38E-23
+212 2.14E-23
+213 1.35E-23
+214 8.45E-24
+215 5.27E-24
+216 3.28E-24
+217 2.03E-24
+218 1.25E-24
+219 7.67E-25
\ No newline at end of file
diff --git a/thermo/photo_cross/H3PO4/H3PO4_branch.csv b/thermo/photo_cross/H3PO4/H3PO4_branch.csv
new file mode 100644
index 0000000..4952671
--- /dev/null
+++ b/thermo/photo_cross/H3PO4/H3PO4_branch.csv
@@ -0,0 +1,4 @@
+# Branching ratios for H3PO4 -> H2PO3 + OH
+# lambda , br_ratio_1
+120.0, 1.
+219.0, 1.
diff --git a/thermo/photo_cross/H3PO4/H3PO4_cross.csv b/thermo/photo_cross/H3PO4/H3PO4_cross.csv
new file mode 100644
index 0000000..636c16c
--- /dev/null
+++ b/thermo/photo_cross/H3PO4/H3PO4_cross.csv
@@ -0,0 +1,101 @@
+# wavelength (nm) photoabsorption photodissociation photoionisation (cm^2)
+120, 2.05E-18, 2.05E-18, 0.0
+121, 2.98E-18, 2.98E-18, 0.0
+122, 3.97E-18, 3.97E-18, 0.0
+123, 4.86E-18, 4.86E-18, 0.0
+124, 5.50E-18, 5.50E-18, 0.0
+125, 5.78E-18, 5.78E-18, 0.0
+126, 5.70E-18, 5.70E-18, 0.0
+127, 5.38E-18, 5.38E-18, 0.0
+128, 4.97E-18, 4.97E-18, 0.0
+129, 4.69E-18, 4.69E-18, 0.0
+130, 4.70E-18, 4.70E-18, 0.0
+131, 5.13E-18, 5.13E-18, 0.0
+132, 5.99E-18, 5.99E-18, 0.0
+133, 7.21E-18, 7.21E-18, 0.0
+134, 8.66E-18, 8.66E-18, 0.0
+135, 1.01E-17, 1.01E-17, 0.0
+136, 1.14E-17, 1.14E-17, 0.0
+137, 1.23E-17, 1.23E-17, 0.0
+138, 1.27E-17, 1.27E-17, 0.0
+139, 1.26E-17, 1.26E-17, 0.0
+140, 1.19E-17, 1.19E-17, 0.0
+141, 1.07E-17, 1.07E-17, 0.0
+142, 9.27E-18, 9.27E-18, 0.0
+143, 7.71E-18, 7.71E-18, 0.0
+144, 6.20E-18, 6.20E-18, 0.0
+145, 4.83E-18, 4.83E-18, 0.0
+146, 3.68E-18, 3.68E-18, 0.0
+147, 2.78E-18, 2.78E-18, 0.0
+148, 2.13E-18, 2.13E-18, 0.0
+149, 1.70E-18, 1.70E-18, 0.0
+150, 1.43E-18, 1.43E-18, 0.0
+151, 1.30E-18, 1.30E-18, 0.0
+152, 1.24E-18, 1.24E-18, 0.0
+153, 1.22E-18, 1.22E-18, 0.0
+154, 1.22E-18, 1.22E-18, 0.0
+155, 1.21E-18, 1.21E-18, 0.0
+156, 1.18E-18, 1.18E-18, 0.0
+157, 1.13E-18, 1.13E-18, 0.0
+158, 1.05E-18, 1.05E-18, 0.0
+159, 9.62E-19, 9.62E-19, 0.0
+160, 8.59E-19, 8.59E-19, 0.0
+161, 7.56E-19, 7.56E-19, 0.0
+162, 6.61E-19, 6.61E-19, 0.0
+163, 5.82E-19, 5.82E-19, 0.0
+164, 5.27E-19, 5.27E-19, 0.0
+165, 5.02E-19, 5.02E-19, 0.0
+166, 5.11E-19, 5.11E-19, 0.0
+167, 5.58E-19, 5.58E-19, 0.0
+168, 6.43E-19, 6.43E-19, 0.0
+169, 7.66E-19, 7.66E-19, 0.0
+170, 9.25E-19, 9.25E-19, 0.0
+171, 1.11E-18, 1.11E-18, 0.0
+172, 1.33E-18, 1.33E-18, 0.0
+173, 1.56E-18, 1.56E-18, 0.0
+174, 1.80E-18, 1.80E-18, 0.0
+175, 2.03E-18, 2.03E-18, 0.0
+176, 2.24E-18, 2.24E-18, 0.0
+177, 2.43E-18, 2.43E-18, 0.0
+178, 2.58E-18, 2.58E-18, 0.0
+179, 2.69E-18, 2.69E-18, 0.0
+180, 2.75E-18, 2.75E-18, 0.0
+181, 2.77E-18, 2.77E-18, 0.0
+182, 2.73E-18, 2.73E-18, 0.0
+183, 2.64E-18, 2.64E-18, 0.0
+184, 2.52E-18, 2.52E-18, 0.0
+185, 2.36E-18, 2.36E-18, 0.0
+186, 2.18E-18, 2.18E-18, 0.0
+187, 1.99E-18, 1.99E-18, 0.0
+188, 1.78E-18, 1.78E-18, 0.0
+189, 1.57E-18, 1.57E-18, 0.0
+190, 1.37E-18, 1.37E-18, 0.0
+191, 1.18E-18, 1.18E-18, 0.0
+192, 1.00E-18, 1.00E-18, 0.0
+193, 8.42E-19, 8.42E-19, 0.0
+194, 6.98E-19, 6.98E-19, 0.0
+195, 5.72E-19, 5.72E-19, 0.0
+196, 4.63E-19, 4.63E-19, 0.0
+197, 3.72E-19, 3.72E-19, 0.0
+198, 2.95E-19, 2.95E-19, 0.0
+199, 2.31E-19, 2.31E-19, 0.0
+200, 1.80E-19, 1.80E-19, 0.0
+201, 1.39E-19, 1.39E-19, 0.0
+202, 1.06E-19, 1.06E-19, 0.0
+203, 8.01E-20, 8.01E-20, 0.0
+204, 6.01E-20, 6.01E-20, 0.0
+205, 4.47E-20, 4.47E-20, 0.0
+206, 3.30E-20, 3.30E-20, 0.0
+207, 2.42E-20, 2.42E-20, 0.0
+208, 1.76E-20, 1.76E-20, 0.0
+209, 1.27E-20, 1.27E-20, 0.0
+210, 9.10E-21, 9.10E-21, 0.0
+211, 6.48E-21, 6.48E-21, 0.0
+212, 4.59E-21, 4.59E-21, 0.0
+213, 3.22E-21, 3.22E-21, 0.0
+214, 2.25E-21, 2.25E-21, 0.0
+215, 1.57E-21, 1.57E-21, 0.0
+216, 1.08E-21, 1.08E-21, 0.0
+217, 7.44E-22, 7.44E-22, 0.0
+218, 5.09E-22, 5.09E-22, 0.0
+219, 3.46E-22, 3.46E-22, 0.0
\ No newline at end of file
diff --git a/thermo/photo_cross/H3PO4/H3PO4_ori.txt b/thermo/photo_cross/H3PO4/H3PO4_ori.txt
new file mode 100644
index 0000000..b5879cd
--- /dev/null
+++ b/thermo/photo_cross/H3PO4/H3PO4_ori.txt
@@ -0,0 +1,101 @@
+wavelength nm cross section cm2 molecule-1
+120 2.12946E-18
+121 3.09852E-18
+122 4.12579E-18
+123 5.04889E-18
+124 5.70713E-18
+125 5.99887E-18
+126 5.92242E-18
+127 5.58244E-18
+128 5.16097E-18
+129 4.86687E-18
+130 4.88258E-18
+131 5.32318E-18
+132 6.21402E-18
+133 7.48698E-18
+134 8.99299E-18
+135 1.0528E-17
+136 1.18695E-17
+137 1.28167E-17
+138 1.32284E-17
+139 1.30469E-17
+140 1.23046E-17
+141 1.11102E-17
+142 9.6209E-18
+143 8.00939E-18
+144 6.43274E-18
+145 5.01163E-18
+146 3.82092E-18
+147 2.89082E-18
+148 2.21519E-18
+149 1.76291E-18
+150 1.48931E-18
+151 1.34554E-18
+152 1.2854E-18
+153 1.26947E-18
+154 1.26718E-18
+155 1.2573E-18
+156 1.22747E-18
+157 1.17286E-18
+158 1.09468E-18
+159 9.9837E-19
+160 8.91985E-19
+161 7.8476E-19
+162 6.86013E-19
+163 6.04394E-19
+164 5.47437E-19
+165 5.21321E-19
+166 5.30751E-19
+167 5.78854E-19
+168 6.6705E-19
+169 7.94882E-19
+170 9.59835E-19
+171 1.15722E-18
+172 1.38015E-18
+173 1.61976E-18
+174 1.86559E-18
+175 2.10618E-18
+176 2.32986E-18
+177 2.52558E-18
+178 2.68371E-18
+179 2.79677E-18
+180 2.85995E-18
+181 2.87133E-18
+182 2.83188E-18
+183 2.74524E-18
+184 2.61721E-18
+185 2.45518E-18
+186 2.26747E-18
+187 2.06269E-18
+188 1.84917E-18
+189 1.63447E-18
+190 1.42506E-18
+191 1.22615E-18
+192 1.04158E-18
+193 8.73917E-19
+194 7.24515E-19
+195 5.93742E-19
+196 4.81157E-19
+197 3.85724E-19
+198 3.06001E-19
+199 2.40312E-19
+200 1.86889E-19
+201 1.43975E-19
+202 1.09907E-19
+203 8.31625E-20
+204 6.23919E-20
+205 4.64249E-20
+206 3.42702E-20
+207 2.51041E-20
+208 1.82535E-20
+209 1.31776E-20
+210 9.44758E-21
+211 6.72827E-21
+212 4.76086E-21
+213 3.34785E-21
+214 2.34013E-21
+215 1.62629E-21
+216 1.12392E-21
+217 7.72558E-22
+218 5.28293E-22
+219 3.59458E-22
diff --git a/thermo/photo_cross/HOPO/HOPO_branch.csv b/thermo/photo_cross/HOPO/HOPO_branch.csv
new file mode 100644
index 0000000..9257fe4
--- /dev/null
+++ b/thermo/photo_cross/HOPO/HOPO_branch.csv
@@ -0,0 +1,4 @@
+# Branching ratios for HOPO -> H + PO2
+# lambda , br_ratio_1
+120.0, 1.
+325.4, 1.
diff --git a/thermo/photo_cross/HOPO/HOPO_cross.csv b/thermo/photo_cross/HOPO/HOPO_cross.csv
new file mode 100644
index 0000000..873cb15
--- /dev/null
+++ b/thermo/photo_cross/HOPO/HOPO_cross.csv
@@ -0,0 +1,381 @@
+# wavelength (nm) photoabsorption photodissociation photoionisation (cm^2)
+120, 1.35E-17, 1.35E-17, 0.0
+121, 1.61E-17, 1.61E-17, 0.0
+122, 1.86E-17, 1.86E-17, 0.0
+123, 2.07E-17, 2.07E-17, 0.0
+124, 2.24E-17, 2.24E-17, 0.0
+125, 2.34E-17, 2.34E-17, 0.0
+126, 2.39E-17, 2.39E-17, 0.0
+127, 2.39E-17, 2.39E-17, 0.0
+128, 2.33E-17, 2.33E-17, 0.0
+129, 2.21E-17, 2.21E-17, 0.0
+130, 2.05E-17, 2.05E-17, 0.0
+131, 1.85E-17, 1.85E-17, 0.0
+132, 1.62E-17, 1.62E-17, 0.0
+133, 1.40E-17, 1.40E-17, 0.0
+134, 1.19E-17, 1.19E-17, 0.0
+135, 1.01E-17, 1.01E-17, 0.0
+136, 8.82E-18, 8.82E-18, 0.0
+137, 7.97E-18, 7.97E-18, 0.0
+138, 7.49E-18, 7.49E-18, 0.0
+139, 7.30E-18, 7.30E-18, 0.0
+140, 7.28E-18, 7.28E-18, 0.0
+141, 7.33E-18, 7.33E-18, 0.0
+142, 7.40E-18, 7.40E-18, 0.0
+143, 7.45E-18, 7.45E-18, 0.0
+144, 7.49E-18, 7.49E-18, 0.0
+145, 7.52E-18, 7.52E-18, 0.0
+146, 7.60E-18, 7.60E-18, 0.0
+147, 7.76E-18, 7.76E-18, 0.0
+148, 8.02E-18, 8.02E-18, 0.0
+149, 8.43E-18, 8.43E-18, 0.0
+150, 8.97E-18, 8.97E-18, 0.0
+151, 9.65E-18, 9.65E-18, 0.0
+152, 1.04E-17, 1.04E-17, 0.0
+153, 1.13E-17, 1.13E-17, 0.0
+154, 1.21E-17, 1.21E-17, 0.0
+155, 1.28E-17, 1.28E-17, 0.0
+156, 1.34E-17, 1.34E-17, 0.0
+157, 1.38E-17, 1.38E-17, 0.0
+158, 1.40E-17, 1.40E-17, 0.0
+159, 1.39E-17, 1.39E-17, 0.0
+160, 1.36E-17, 1.36E-17, 0.0
+161, 1.31E-17, 1.31E-17, 0.0
+162, 1.24E-17, 1.24E-17, 0.0
+163, 1.16E-17, 1.16E-17, 0.0
+164, 1.08E-17, 1.08E-17, 0.0
+165, 1.00E-17, 1.00E-17, 0.0
+166, 9.31E-18, 9.31E-18, 0.0
+167, 8.72E-18, 8.72E-18, 0.0
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+264, 5.80E-19, 5.80E-19, 0.0
+265, 6.22E-19, 6.22E-19, 0.0
+266, 6.64E-19, 6.64E-19, 0.0
+267, 7.06E-19, 7.06E-19, 0.0
+268, 7.47E-19, 7.47E-19, 0.0
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+276, 1.02E-18, 1.02E-18, 0.0
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+305, 6.16E-19, 6.16E-19, 0.0
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+310, 4.66E-19, 4.66E-19, 0.0
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+315, 3.37E-19, 3.37E-19, 0.0
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+373, 1.14E-21, 1.14E-21, 0.0
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+384, 3.10E-22, 3.10E-22, 0.0
+385, 2.75E-22, 2.75E-22, 0.0
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+389, 1.69E-22, 1.69E-22, 0.0
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+394, 9.21E-23, 9.21E-23, 0.0
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+407, 1.85E-23, 1.85E-23, 0.0
+408, 1.64E-23, 1.64E-23, 0.0
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+421, 3.23E-24, 3.23E-24, 0.0
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+424, 2.22E-24, 2.22E-24, 0.0
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+435, 5.63E-25, 5.63E-25, 0.0
+436, 4.97E-25, 4.97E-25, 0.0
+437, 4.39E-25, 4.39E-25, 0.0
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+439, 3.42E-25, 3.42E-25, 0.0
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+444, 1.84E-25, 1.84E-25, 0.0
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+446, 1.43E-25, 1.43E-25, 0.0
+447, 1.26E-25, 1.26E-25, 0.0
+448, 1.12E-25, 1.12E-25, 0.0
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+454, 5.32E-26, 5.32E-26, 0.0
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+458, 3.25E-26, 3.25E-26, 0.0
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+465, 1.37E-26, 1.37E-26, 0.0
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+470, 7.47E-27, 7.47E-27, 0.0
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+472, 5.85E-27, 5.85E-27, 0.0
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+474, 4.59E-27, 4.59E-27, 0.0
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+480, 2.22E-27, 2.22E-27, 0.0
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+482, 1.75E-27, 1.75E-27, 0.0
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+484, 1.38E-27, 1.38E-27, 0.0
+485, 1.22E-27, 1.22E-27, 0.0
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+487, 9.61E-28, 9.61E-28, 0.0
+488, 8.53E-28, 8.53E-28, 0.0
+489, 7.57E-28, 7.57E-28, 0.0
+490, 6.72E-28, 6.72E-28, 0.0
+491, 5.96E-28, 5.96E-28, 0.0
+492, 5.30E-28, 5.30E-28, 0.0
+493, 4.71E-28, 4.71E-28, 0.0
+494, 4.18E-28, 4.18E-28, 0.0
+495, 3.71E-28, 3.71E-28, 0.0
+496, 3.30E-28, 3.30E-28, 0.0
+497, 2.93E-28, 2.93E-28, 0.0
+498, 2.61E-28, 2.61E-28, 0.0
+499, 2.32E-28, 2.32E-28, 0.0
\ No newline at end of file
diff --git a/thermo/photo_cross/HOPO/HOPO_ori.txt b/thermo/photo_cross/HOPO/HOPO_ori.txt
new file mode 100644
index 0000000..65092fa
--- /dev/null
+++ b/thermo/photo_cross/HOPO/HOPO_ori.txt
@@ -0,0 +1,382 @@
+#Wavelength HOPO
+#nm cm2
+120 1.35E-17
+121 1.61E-17
+122 1.86E-17
+123 2.07E-17
+124 2.24E-17
+125 2.34E-17
+126 2.39E-17
+127 2.39E-17
+128 2.33E-17
+129 2.21E-17
+130 2.05E-17
+131 1.85E-17
+132 1.62E-17
+133 1.40E-17
+134 1.19E-17
+135 1.01E-17
+136 8.82E-18
+137 7.97E-18
+138 7.49E-18
+139 7.30E-18
+140 7.28E-18
+141 7.33E-18
+142 7.40E-18
+143 7.45E-18
+144 7.49E-18
+145 7.52E-18
+146 7.60E-18
+147 7.76E-18
+148 8.02E-18
+149 8.43E-18
+150 8.97E-18
+151 9.65E-18
+152 1.04E-17
+153 1.13E-17
+154 1.21E-17
+155 1.28E-17
+156 1.34E-17
+157 1.38E-17
+158 1.40E-17
+159 1.39E-17
+160 1.36E-17
+161 1.31E-17
+162 1.24E-17
+163 1.16E-17
+164 1.08E-17
+165 1.00E-17
+166 9.31E-18
+167 8.72E-18
+168 8.29E-18
+169 8.01E-18
+170 7.88E-18
+171 7.88E-18
+172 7.96E-18
+173 8.08E-18
+174 8.21E-18
+175 8.31E-18
+176 8.33E-18
+177 8.26E-18
+178 8.08E-18
+179 7.80E-18
+180 7.41E-18
+181 6.94E-18
+182 6.40E-18
+183 5.82E-18
+184 5.21E-18
+185 4.61E-18
+186 4.02E-18
+187 3.47E-18
+188 2.97E-18
+189 2.52E-18
+190 2.13E-18
+191 1.79E-18
+192 1.52E-18
+193 1.29E-18
+194 1.12E-18
+195 9.86E-19
+196 8.90E-19
+197 8.25E-19
+198 7.85E-19
+199 7.65E-19
+200 7.59E-19
+201 7.65E-19
+202 7.78E-19
+203 7.95E-19
+204 8.13E-19
+205 8.30E-19
+206 8.43E-19
+207 8.53E-19
+208 8.57E-19
+209 8.55E-19
+210 8.47E-19
+211 8.33E-19
+212 8.12E-19
+213 7.86E-19
+214 7.54E-19
+215 7.19E-19
+216 6.79E-19
+217 6.37E-19
+218 5.93E-19
+219 5.48E-19
+220 5.03E-19
+221 4.58E-19
+222 4.15E-19
+223 3.73E-19
+224 3.33E-19
+225 2.96E-19
+226 2.61E-19
+227 2.29E-19
+228 2.00E-19
+229 1.73E-19
+230 1.50E-19
+231 1.29E-19
+232 1.11E-19
+233 9.59E-20
+234 8.27E-20
+235 7.18E-20
+236 6.31E-20
+237 5.63E-20
+238 5.15E-20
+239 4.85E-20
+240 4.72E-20
+241 4.77E-20
+242 4.99E-20
+243 5.39E-20
+244 5.95E-20
+245 6.70E-20
+246 7.63E-20
+247 8.75E-20
+248 1.01E-19
+249 1.16E-19
+250 1.33E-19
+251 1.52E-19
+252 1.74E-19
+253 1.97E-19
+254 2.23E-19
+255 2.51E-19
+256 2.81E-19
+257 3.13E-19
+258 3.47E-19
+259 3.82E-19
+260 4.20E-19
+261 4.58E-19
+262 4.98E-19
+263 5.39E-19
+264 5.80E-19
+265 6.22E-19
+266 6.64E-19
+267 7.06E-19
+268 7.47E-19
+269 7.87E-19
+270 8.26E-19
+271 8.64E-19
+272 9.00E-19
+273 9.34E-19
+274 9.65E-19
+275 9.94E-19
+276 1.02E-18
+277 1.04E-18
+278 1.06E-18
+279 1.08E-18
+280 1.09E-18
+281 1.10E-18
+282 1.11E-18
+283 1.11E-18
+284 1.11E-18
+285 1.11E-18
+286 1.10E-18
+287 1.10E-18
+288 1.08E-18
+289 1.07E-18
+290 1.05E-18
+291 1.03E-18
+292 1.01E-18
+293 9.83E-19
+294 9.57E-19
+295 9.30E-19
+296 9.01E-19
+297 8.71E-19
+298 8.40E-19
+299 8.09E-19
+300 7.77E-19
+301 7.44E-19
+302 7.12E-19
+303 6.80E-19
+304 6.48E-19
+305 6.16E-19
+306 5.84E-19
+307 5.54E-19
+308 5.23E-19
+309 4.94E-19
+310 4.66E-19
+311 4.38E-19
+312 4.11E-19
+313 3.86E-19
+314 3.61E-19
+315 3.37E-19
+316 3.15E-19
+317 2.94E-19
+318 2.73E-19
+319 2.54E-19
+320 2.36E-19
+321 2.18E-19
+322 2.02E-19
+323 1.87E-19
+324 1.72E-19
+325 1.59E-19
+326 1.46E-19
+327 1.35E-19
+328 1.24E-19
+329 1.13E-19
+330 1.04E-19
+331 9.51E-20
+332 8.70E-20
+333 7.95E-20
+334 7.26E-20
+335 6.62E-20
+336 6.03E-20
+337 5.48E-20
+338 4.99E-20
+339 4.53E-20
+340 4.11E-20
+341 3.73E-20
+342 3.38E-20
+343 3.06E-20
+344 2.77E-20
+345 2.50E-20
+346 2.26E-20
+347 2.04E-20
+348 1.84E-20
+349 1.66E-20
+350 1.49E-20
+351 1.34E-20
+352 1.21E-20
+353 1.08E-20
+354 9.74E-21
+355 8.74E-21
+356 7.84E-21
+357 7.03E-21
+358 6.30E-21
+359 5.64E-21
+360 5.05E-21
+361 4.52E-21
+362 4.04E-21
+363 3.61E-21
+364 3.22E-21
+365 2.88E-21
+366 2.57E-21
+367 2.29E-21
+368 2.04E-21
+369 1.82E-21
+370 1.62E-21
+371 1.44E-21
+372 1.29E-21
+373 1.14E-21
+374 1.02E-21
+375 9.05E-22
+376 8.05E-22
+377 7.15E-22
+378 6.35E-22
+379 5.64E-22
+380 5.01E-22
+381 4.44E-22
+382 3.94E-22
+383 3.50E-22
+384 3.10E-22
+385 2.75E-22
+386 2.44E-22
+387 2.16E-22
+388 1.91E-22
+389 1.69E-22
+390 1.50E-22
+391 1.33E-22
+392 1.18E-22
+393 1.04E-22
+394 9.21E-23
+395 8.15E-23
+396 7.21E-23
+397 6.37E-23
+398 5.64E-23
+399 4.98E-23
+400 4.40E-23
+401 3.89E-23
+402 3.44E-23
+403 3.04E-23
+404 2.69E-23
+405 2.37E-23
+406 2.10E-23
+407 1.85E-23
+408 1.64E-23
+409 1.44E-23
+410 1.28E-23
+411 1.13E-23
+412 9.94E-24
+413 8.78E-24
+414 7.75E-24
+415 6.84E-24
+416 6.04E-24
+417 5.33E-24
+418 4.70E-24
+419 4.15E-24
+420 3.67E-24
+421 3.23E-24
+422 2.86E-24
+423 2.52E-24
+424 2.22E-24
+425 1.96E-24
+426 1.73E-24
+427 1.53E-24
+428 1.35E-24
+429 1.19E-24
+430 1.05E-24
+431 9.28E-25
+432 8.19E-25
+433 7.23E-25
+434 6.38E-25
+435 5.63E-25
+436 4.97E-25
+437 4.39E-25
+438 3.87E-25
+439 3.42E-25
+440 3.02E-25
+441 2.67E-25
+442 2.35E-25
+443 2.08E-25
+444 1.84E-25
+445 1.62E-25
+446 1.43E-25
+447 1.26E-25
+448 1.12E-25
+449 9.87E-26
+450 8.72E-26
+451 7.70E-26
+452 6.81E-26
+453 6.01E-26
+454 5.32E-26
+455 4.70E-26
+456 4.15E-26
+457 3.67E-26
+458 3.25E-26
+459 2.87E-26
+460 2.54E-26
+461 2.24E-26
+462 1.99E-26
+463 1.76E-26
+464 1.55E-26
+465 1.37E-26
+466 1.22E-26
+467 1.08E-26
+468 9.53E-27
+469 8.43E-27
+470 7.47E-27
+471 6.61E-27
+472 5.85E-27
+473 5.19E-27
+474 4.59E-27
+475 4.07E-27
+476 3.60E-27
+477 3.19E-27
+478 2.83E-27
+479 2.51E-27
+480 2.22E-27
+481 1.97E-27
+482 1.75E-27
+483 1.55E-27
+484 1.38E-27
+485 1.22E-27
+486 1.08E-27
+487 9.61E-28
+488 8.53E-28
+489 7.57E-28
+490 6.72E-28
+491 5.96E-28
+492 5.30E-28
+493 4.71E-28
+494 4.18E-28
+495 3.71E-28
+496 3.30E-28
+497 2.93E-28
+498 2.61E-28
+499 2.32E-28
\ No newline at end of file
diff --git a/thermo/photo_cross/HOPO2/HOPO2_branch.csv b/thermo/photo_cross/HOPO2/HOPO2_branch.csv
new file mode 100644
index 0000000..66949a5
--- /dev/null
+++ b/thermo/photo_cross/HOPO2/HOPO2_branch.csv
@@ -0,0 +1,4 @@
+# Branching ratios for HOPO2 -> OH + PO2
+# lambda , br_ratio_1
+120.0, 1.
+271.2, 1.
diff --git a/thermo/photo_cross/HOPO2/HOPO2_cross.csv b/thermo/photo_cross/HOPO2/HOPO2_cross.csv
new file mode 100644
index 0000000..f20374b
--- /dev/null
+++ b/thermo/photo_cross/HOPO2/HOPO2_cross.csv
@@ -0,0 +1,161 @@
+# wavelength (nm) photoabsorption photodissociation photoionisation (cm^2)
+120, 4.64E-18, 4.64E-18, 0.0
+121, 7.03E-18, 7.03E-18, 0.0
+122, 9.85E-18, 9.85E-18, 0.0
+123, 1.28E-17, 1.28E-17, 0.0
+124, 1.55E-17, 1.55E-17, 0.0
+125, 1.76E-17, 1.76E-17, 0.0
+126, 1.89E-17, 1.89E-17, 0.0
+127, 1.93E-17, 1.93E-17, 0.0
+128, 1.90E-17, 1.90E-17, 0.0
+129, 1.81E-17, 1.81E-17, 0.0
+130, 1.71E-17, 1.71E-17, 0.0
+131, 1.62E-17, 1.62E-17, 0.0
+132, 1.56E-17, 1.56E-17, 0.0
+133, 1.55E-17, 1.55E-17, 0.0
+134, 1.56E-17, 1.56E-17, 0.0
+135, 1.59E-17, 1.59E-17, 0.0
+136, 1.60E-17, 1.60E-17, 0.0
+137, 1.59E-17, 1.59E-17, 0.0
+138, 1.54E-17, 1.54E-17, 0.0
+139, 1.46E-17, 1.46E-17, 0.0
+140, 1.35E-17, 1.35E-17, 0.0
+141, 1.22E-17, 1.22E-17, 0.0
+142, 1.08E-17, 1.08E-17, 0.0
+143, 9.39E-18, 9.39E-18, 0.0
+144, 8.09E-18, 8.09E-18, 0.0
+145, 6.92E-18, 6.92E-18, 0.0
+146, 5.87E-18, 5.87E-18, 0.0
+147, 4.95E-18, 4.95E-18, 0.0
+148, 4.16E-18, 4.16E-18, 0.0
+149, 3.48E-18, 3.48E-18, 0.0
+150, 2.89E-18, 2.89E-18, 0.0
+151, 2.40E-18, 2.40E-18, 0.0
+152, 1.99E-18, 1.99E-18, 0.0
+153, 1.66E-18, 1.66E-18, 0.0
+154, 1.40E-18, 1.40E-18, 0.0
+155, 1.21E-18, 1.21E-18, 0.0
+156, 1.07E-18, 1.07E-18, 0.0
+157, 9.68E-19, 9.68E-19, 0.0
+158, 9.04E-19, 9.04E-19, 0.0
+159, 8.64E-19, 8.64E-19, 0.0
+160, 8.41E-19, 8.41E-19, 0.0
+161, 8.30E-19, 8.30E-19, 0.0
+162, 8.28E-19, 8.28E-19, 0.0
+163, 8.36E-19, 8.36E-19, 0.0
+164, 8.58E-19, 8.58E-19, 0.0
+165, 8.98E-19, 8.98E-19, 0.0
+166, 9.62E-19, 9.62E-19, 0.0
+167, 1.06E-18, 1.06E-18, 0.0
+168, 1.18E-18, 1.18E-18, 0.0
+169, 1.34E-18, 1.34E-18, 0.0
+170, 1.54E-18, 1.54E-18, 0.0
+171, 1.77E-18, 1.77E-18, 0.0
+172, 2.03E-18, 2.03E-18, 0.0
+173, 2.30E-18, 2.30E-18, 0.0
+174, 2.58E-18, 2.58E-18, 0.0
+175, 2.85E-18, 2.85E-18, 0.0
+176, 3.10E-18, 3.10E-18, 0.0
+177, 3.32E-18, 3.32E-18, 0.0
+178, 3.49E-18, 3.49E-18, 0.0
+179, 3.62E-18, 3.62E-18, 0.0
+180, 3.68E-18, 3.68E-18, 0.0
+181, 3.68E-18, 3.68E-18, 0.0
+182, 3.63E-18, 3.63E-18, 0.0
+183, 3.51E-18, 3.51E-18, 0.0
+184, 3.35E-18, 3.35E-18, 0.0
+185, 3.15E-18, 3.15E-18, 0.0
+186, 2.92E-18, 2.92E-18, 0.0
+187, 2.66E-18, 2.66E-18, 0.0
+188, 2.40E-18, 2.40E-18, 0.0
+189, 2.13E-18, 2.13E-18, 0.0
+190, 1.86E-18, 1.86E-18, 0.0
+191, 1.61E-18, 1.61E-18, 0.0
+192, 1.38E-18, 1.38E-18, 0.0
+193, 1.17E-18, 1.17E-18, 0.0
+194, 9.78E-19, 9.78E-19, 0.0
+195, 8.13E-19, 8.13E-19, 0.0
+196, 6.71E-19, 6.71E-19, 0.0
+197, 5.52E-19, 5.52E-19, 0.0
+198, 4.54E-19, 4.54E-19, 0.0
+199, 3.75E-19, 3.75E-19, 0.0
+200, 3.14E-19, 3.14E-19, 0.0
+201, 2.69E-19, 2.69E-19, 0.0
+202, 2.36E-19, 2.36E-19, 0.0
+203, 2.14E-19, 2.14E-19, 0.0
+204, 2.02E-19, 2.02E-19, 0.0
+205, 1.98E-19, 1.98E-19, 0.0
+206, 1.99E-19, 1.99E-19, 0.0
+207, 2.06E-19, 2.06E-19, 0.0
+208, 2.15E-19, 2.15E-19, 0.0
+209, 2.28E-19, 2.28E-19, 0.0
+210, 2.41E-19, 2.41E-19, 0.0
+211, 2.55E-19, 2.55E-19, 0.0
+212, 2.69E-19, 2.69E-19, 0.0
+213, 2.82E-19, 2.82E-19, 0.0
+214, 2.93E-19, 2.93E-19, 0.0
+215, 3.03E-19, 3.03E-19, 0.0
+216, 3.10E-19, 3.10E-19, 0.0
+217, 3.15E-19, 3.15E-19, 0.0
+218, 3.18E-19, 3.18E-19, 0.0
+219, 3.18E-19, 3.18E-19, 0.0
+220, 3.15E-19, 3.15E-19, 0.0
+221, 3.10E-19, 3.10E-19, 0.0
+222, 3.03E-19, 3.03E-19, 0.0
+223, 2.93E-19, 2.93E-19, 0.0
+224, 2.82E-19, 2.82E-19, 0.0
+225, 2.69E-19, 2.69E-19, 0.0
+226, 2.56E-19, 2.56E-19, 0.0
+227, 2.41E-19, 2.41E-19, 0.0
+228, 2.25E-19, 2.25E-19, 0.0
+229, 2.09E-19, 2.09E-19, 0.0
+230, 1.93E-19, 1.93E-19, 0.0
+231, 1.77E-19, 1.77E-19, 0.0
+232, 1.62E-19, 1.62E-19, 0.0
+233, 1.47E-19, 1.47E-19, 0.0
+234, 1.32E-19, 1.32E-19, 0.0
+235, 1.19E-19, 1.19E-19, 0.0
+236, 1.06E-19, 1.06E-19, 0.0
+237, 9.41E-20, 9.41E-20, 0.0
+238, 8.31E-20, 8.31E-20, 0.0
+239, 7.30E-20, 7.30E-20, 0.0
+240, 6.39E-20, 6.39E-20, 0.0
+241, 5.56E-20, 5.56E-20, 0.0
+242, 4.82E-20, 4.82E-20, 0.0
+243, 4.16E-20, 4.16E-20, 0.0
+244, 3.57E-20, 3.57E-20, 0.0
+245, 3.06E-20, 3.06E-20, 0.0
+246, 2.60E-20, 2.60E-20, 0.0
+247, 2.21E-20, 2.21E-20, 0.0
+248, 1.87E-20, 1.87E-20, 0.0
+249, 1.57E-20, 1.57E-20, 0.0
+250, 1.32E-20, 1.32E-20, 0.0
+251, 1.11E-20, 1.11E-20, 0.0
+252, 9.22E-21, 9.22E-21, 0.0
+253, 7.66E-21, 7.66E-21, 0.0
+254, 6.34E-21, 6.34E-21, 0.0
+255, 5.24E-21, 5.24E-21, 0.0
+256, 4.31E-21, 4.31E-21, 0.0
+257, 3.54E-21, 3.54E-21, 0.0
+258, 2.89E-21, 2.89E-21, 0.0
+259, 2.36E-21, 2.36E-21, 0.0
+260, 1.92E-21, 1.92E-21, 0.0
+261, 1.56E-21, 1.56E-21, 0.0
+262, 1.26E-21, 1.26E-21, 0.0
+263, 1.02E-21, 1.02E-21, 0.0
+264, 8.22E-22, 8.22E-22, 0.0
+265, 6.61E-22, 6.61E-22, 0.0
+266, 5.30E-22, 5.30E-22, 0.0
+267, 4.24E-22, 4.24E-22, 0.0
+268, 3.39E-22, 3.39E-22, 0.0
+269, 2.70E-22, 2.70E-22, 0.0
+270, 2.15E-22, 2.15E-22, 0.0
+271, 1.71E-22, 1.71E-22, 0.0
+272, 1.35E-22, 1.35E-22, 0.0
+273, 1.07E-22, 1.07E-22, 0.0
+274, 8.45E-23, 8.45E-23, 0.0
+275, 6.66E-23, 6.66E-23, 0.0
+276, 5.24E-23, 5.24E-23, 0.0
+277, 4.12E-23, 4.12E-23, 0.0
+278, 3.23E-23, 3.23E-23, 0.0
+279, 2.53E-23, 2.53E-23, 0.0
\ No newline at end of file
diff --git a/thermo/photo_cross/HOPO2/HOPO2_ori.txt b/thermo/photo_cross/HOPO2/HOPO2_ori.txt
new file mode 100644
index 0000000..0628a39
--- /dev/null
+++ b/thermo/photo_cross/HOPO2/HOPO2_ori.txt
@@ -0,0 +1,162 @@
+#Wavelength HOPO2
+#nm cm2
+120 4.64E-18
+121 7.03E-18
+122 9.85E-18
+123 1.28E-17
+124 1.55E-17
+125 1.76E-17
+126 1.89E-17
+127 1.93E-17
+128 1.90E-17
+129 1.81E-17
+130 1.71E-17
+131 1.62E-17
+132 1.56E-17
+133 1.55E-17
+134 1.56E-17
+135 1.59E-17
+136 1.60E-17
+137 1.59E-17
+138 1.54E-17
+139 1.46E-17
+140 1.35E-17
+141 1.22E-17
+142 1.08E-17
+143 9.39E-18
+144 8.09E-18
+145 6.92E-18
+146 5.87E-18
+147 4.95E-18
+148 4.16E-18
+149 3.48E-18
+150 2.89E-18
+151 2.40E-18
+152 1.99E-18
+153 1.66E-18
+154 1.40E-18
+155 1.21E-18
+156 1.07E-18
+157 9.68E-19
+158 9.04E-19
+159 8.64E-19
+160 8.41E-19
+161 8.30E-19
+162 8.28E-19
+163 8.36E-19
+164 8.58E-19
+165 8.98E-19
+166 9.62E-19
+167 1.06E-18
+168 1.18E-18
+169 1.34E-18
+170 1.54E-18
+171 1.77E-18
+172 2.03E-18
+173 2.30E-18
+174 2.58E-18
+175 2.85E-18
+176 3.10E-18
+177 3.32E-18
+178 3.49E-18
+179 3.62E-18
+180 3.68E-18
+181 3.68E-18
+182 3.63E-18
+183 3.51E-18
+184 3.35E-18
+185 3.15E-18
+186 2.92E-18
+187 2.66E-18
+188 2.40E-18
+189 2.13E-18
+190 1.86E-18
+191 1.61E-18
+192 1.38E-18
+193 1.17E-18
+194 9.78E-19
+195 8.13E-19
+196 6.71E-19
+197 5.52E-19
+198 4.54E-19
+199 3.75E-19
+200 3.14E-19
+201 2.69E-19
+202 2.36E-19
+203 2.14E-19
+204 2.02E-19
+205 1.98E-19
+206 1.99E-19
+207 2.06E-19
+208 2.15E-19
+209 2.28E-19
+210 2.41E-19
+211 2.55E-19
+212 2.69E-19
+213 2.82E-19
+214 2.93E-19
+215 3.03E-19
+216 3.10E-19
+217 3.15E-19
+218 3.18E-19
+219 3.18E-19
+220 3.15E-19
+221 3.10E-19
+222 3.03E-19
+223 2.93E-19
+224 2.82E-19
+225 2.69E-19
+226 2.56E-19
+227 2.41E-19
+228 2.25E-19
+229 2.09E-19
+230 1.93E-19
+231 1.77E-19
+232 1.62E-19
+233 1.47E-19
+234 1.32E-19
+235 1.19E-19
+236 1.06E-19
+237 9.41E-20
+238 8.31E-20
+239 7.30E-20
+240 6.39E-20
+241 5.56E-20
+242 4.82E-20
+243 4.16E-20
+244 3.57E-20
+245 3.06E-20
+246 2.60E-20
+247 2.21E-20
+248 1.87E-20
+249 1.57E-20
+250 1.32E-20
+251 1.11E-20
+252 9.22E-21
+253 7.66E-21
+254 6.34E-21
+255 5.24E-21
+256 4.31E-21
+257 3.54E-21
+258 2.89E-21
+259 2.36E-21
+260 1.92E-21
+261 1.56E-21
+262 1.26E-21
+263 1.02E-21
+264 8.22E-22
+265 6.61E-22
+266 5.30E-22
+267 4.24E-22
+268 3.39E-22
+269 2.70E-22
+270 2.15E-22
+271 1.71E-22
+272 1.35E-22
+273 1.07E-22
+274 8.45E-23
+275 6.66E-23
+276 5.24E-23
+277 4.12E-23
+278 3.23E-23
+279 2.53E-23
\ No newline at end of file
diff --git a/thermo/photo_cross/HPO2/HPO2_branch.csv b/thermo/photo_cross/HPO2/HPO2_branch.csv
new file mode 100644
index 0000000..2075274
--- /dev/null
+++ b/thermo/photo_cross/HPO2/HPO2_branch.csv
@@ -0,0 +1,4 @@
+# Branching ratios for HPO2 -> H + PO2
+# lambda , br_ratio_1
+120.0, 1.
+332.0, 1.
diff --git a/thermo/photo_cross/HPO2/HPO2_cross.csv b/thermo/photo_cross/HPO2/HPO2_cross.csv
new file mode 100644
index 0000000..4cca243
--- /dev/null
+++ b/thermo/photo_cross/HPO2/HPO2_cross.csv
@@ -0,0 +1,214 @@
+# wavelength (nm) photoabsorption photodissociation photoionisation (cm^2)
+120, 1.51E-17, 1.51E-17, 0.0
+121, 1.71E-17, 1.71E-17, 0.0
+122, 1.92E-17, 1.92E-17, 0.0
+123, 2.13E-17, 2.13E-17, 0.0
+124, 2.31E-17, 2.31E-17, 0.0
+125, 2.44E-17, 2.44E-17, 0.0
+126, 2.50E-17, 2.50E-17, 0.0
+127, 2.47E-17, 2.47E-17, 0.0
+128, 2.37E-17, 2.37E-17, 0.0
+129, 2.21E-17, 2.21E-17, 0.0
+130, 1.99E-17, 1.99E-17, 0.0
+131, 1.75E-17, 1.75E-17, 0.0
+132, 1.50E-17, 1.50E-17, 0.0
+133, 1.26E-17, 1.26E-17, 0.0
+134, 1.04E-17, 1.04E-17, 0.0
+135, 8.62E-18, 8.62E-18, 0.0
+136, 7.18E-18, 7.18E-18, 0.0
+137, 6.09E-18, 6.09E-18, 0.0
+138, 5.27E-18, 5.27E-18, 0.0
+139, 4.64E-18, 4.64E-18, 0.0
+140, 4.13E-18, 4.13E-18, 0.0
+141, 3.66E-18, 3.66E-18, 0.0
+142, 3.20E-18, 3.20E-18, 0.0
+143, 2.74E-18, 2.74E-18, 0.0
+144, 2.28E-18, 2.28E-18, 0.0
+145, 1.85E-18, 1.85E-18, 0.0
+146, 1.45E-18, 1.45E-18, 0.0
+147, 1.10E-18, 1.10E-18, 0.0
+148, 8.11E-19, 8.11E-19, 0.0
+149, 5.85E-19, 5.85E-19, 0.0
+150, 4.21E-19, 4.21E-19, 0.0
+151, 3.14E-19, 3.14E-19, 0.0
+152, 2.63E-19, 2.63E-19, 0.0
+153, 2.67E-19, 2.67E-19, 0.0
+154, 3.30E-19, 3.30E-19, 0.0
+155, 4.60E-19, 4.60E-19, 0.0
+156, 6.68E-19, 6.68E-19, 0.0
+157, 9.67E-19, 9.67E-19, 0.0
+158, 1.37E-18, 1.37E-18, 0.0
+159, 1.89E-18, 1.89E-18, 0.0
+160, 2.52E-18, 2.52E-18, 0.0
+161, 3.27E-18, 3.27E-18, 0.0
+162, 4.11E-18, 4.11E-18, 0.0
+163, 5.03E-18, 5.03E-18, 0.0
+164, 5.99E-18, 5.99E-18, 0.0
+165, 6.94E-18, 6.94E-18, 0.0
+166, 7.84E-18, 7.84E-18, 0.0
+167, 8.65E-18, 8.65E-18, 0.0
+168, 9.32E-18, 9.32E-18, 0.0
+169, 9.81E-18, 9.81E-18, 0.0
+170, 1.01E-17, 1.01E-17, 0.0
+171, 1.02E-17, 1.02E-17, 0.0
+172, 1.01E-17, 1.01E-17, 0.0
+173, 9.75E-18, 9.75E-18, 0.0
+174, 9.27E-18, 9.27E-18, 0.0
+175, 8.66E-18, 8.66E-18, 0.0
+176, 7.95E-18, 7.95E-18, 0.0
+177, 7.19E-18, 7.19E-18, 0.0
+178, 6.39E-18, 6.39E-18, 0.0
+179, 5.60E-18, 5.60E-18, 0.0
+180, 4.85E-18, 4.85E-18, 0.0
+181, 4.14E-18, 4.14E-18, 0.0
+182, 3.50E-18, 3.50E-18, 0.0
+183, 2.93E-18, 2.93E-18, 0.0
+184, 2.44E-18, 2.44E-18, 0.0
+185, 2.02E-18, 2.02E-18, 0.0
+186, 1.66E-18, 1.66E-18, 0.0
+187, 1.37E-18, 1.37E-18, 0.0
+188, 1.13E-18, 1.13E-18, 0.0
+189, 9.38E-19, 9.38E-19, 0.0
+190, 7.83E-19, 7.83E-19, 0.0
+191, 6.59E-19, 6.59E-19, 0.0
+192, 5.59E-19, 5.59E-19, 0.0
+193, 4.79E-19, 4.79E-19, 0.0
+194, 4.14E-19, 4.14E-19, 0.0
+195, 3.61E-19, 3.61E-19, 0.0
+196, 3.17E-19, 3.17E-19, 0.0
+197, 2.80E-19, 2.80E-19, 0.0
+198, 2.49E-19, 2.49E-19, 0.0
+199, 2.22E-19, 2.22E-19, 0.0
+200, 2.00E-19, 2.00E-19, 0.0
+201, 1.81E-19, 1.81E-19, 0.0
+202, 1.64E-19, 1.64E-19, 0.0
+203, 1.51E-19, 1.51E-19, 0.0
+204, 1.39E-19, 1.39E-19, 0.0
+205, 1.30E-19, 1.30E-19, 0.0
+206, 1.22E-19, 1.22E-19, 0.0
+207, 1.15E-19, 1.15E-19, 0.0
+208, 1.10E-19, 1.10E-19, 0.0
+209, 1.05E-19, 1.05E-19, 0.0
+210, 1.01E-19, 1.01E-19, 0.0
+211, 9.74E-20, 9.74E-20, 0.0
+212, 9.39E-20, 9.39E-20, 0.0
+213, 9.04E-20, 9.04E-20, 0.0
+214, 8.69E-20, 8.69E-20, 0.0
+215, 8.32E-20, 8.32E-20, 0.0
+216, 7.94E-20, 7.94E-20, 0.0
+217, 7.55E-20, 7.55E-20, 0.0
+218, 7.13E-20, 7.13E-20, 0.0
+219, 6.70E-20, 6.70E-20, 0.0
+220, 6.26E-20, 6.26E-20, 0.0
+221, 5.82E-20, 5.82E-20, 0.0
+222, 5.37E-20, 5.37E-20, 0.0
+223, 4.92E-20, 4.92E-20, 0.0
+224, 4.49E-20, 4.49E-20, 0.0
+225, 4.07E-20, 4.07E-20, 0.0
+226, 3.66E-20, 3.66E-20, 0.0
+227, 3.28E-20, 3.28E-20, 0.0
+228, 2.92E-20, 2.92E-20, 0.0
+229, 2.58E-20, 2.58E-20, 0.0
+230, 2.27E-20, 2.27E-20, 0.0
+231, 1.99E-20, 1.99E-20, 0.0
+232, 1.73E-20, 1.73E-20, 0.0
+233, 1.50E-20, 1.50E-20, 0.0
+234, 1.29E-20, 1.29E-20, 0.0
+235, 1.10E-20, 1.10E-20, 0.0
+236, 9.40E-21, 9.40E-21, 0.0
+237, 7.98E-21, 7.98E-21, 0.0
+238, 6.74E-21, 6.74E-21, 0.0
+239, 5.66E-21, 5.66E-21, 0.0
+240, 4.74E-21, 4.74E-21, 0.0
+241, 3.95E-21, 3.95E-21, 0.0
+242, 3.28E-21, 3.28E-21, 0.0
+243, 2.71E-21, 2.71E-21, 0.0
+244, 2.23E-21, 2.23E-21, 0.0
+245, 1.83E-21, 1.83E-21, 0.0
+246, 1.50E-21, 1.50E-21, 0.0
+247, 1.22E-21, 1.22E-21, 0.0
+248, 9.88E-22, 9.88E-22, 0.0
+249, 7.99E-22, 7.99E-22, 0.0
+250, 6.44E-22, 6.44E-22, 0.0
+251, 5.17E-22, 5.17E-22, 0.0
+252, 4.15E-22, 4.15E-22, 0.0
+253, 3.31E-22, 3.31E-22, 0.0
+254, 2.64E-22, 2.64E-22, 0.0
+255, 2.09E-22, 2.09E-22, 0.0
+256, 1.66E-22, 1.66E-22, 0.0
+257, 1.31E-22, 1.31E-22, 0.0
+258, 1.03E-22, 1.03E-22, 0.0
+259, 8.11E-23, 8.11E-23, 0.0
+260, 6.36E-23, 6.36E-23, 0.0
+261, 4.97E-23, 4.97E-23, 0.0
+262, 3.88E-23, 3.88E-23, 0.0
+263, 3.02E-23, 3.02E-23, 0.0
+264, 2.35E-23, 2.35E-23, 0.0
+265, 1.82E-23, 1.82E-23, 0.0
+266, 1.41E-23, 1.41E-23, 0.0
+267, 1.09E-23, 1.09E-23, 0.0
+268, 8.39E-24, 8.39E-24, 0.0
+269, 6.46E-24, 6.46E-24, 0.0
+270, 4.96E-24, 4.96E-24, 0.0
+271, 3.81E-24, 3.81E-24, 0.0
+272, 2.92E-24, 2.92E-24, 0.0
+273, 2.23E-24, 2.23E-24, 0.0
+274, 1.70E-24, 1.70E-24, 0.0
+275, 1.30E-24, 1.30E-24, 0.0
+276, 9.89E-25, 9.89E-25, 0.0
+277, 7.52E-25, 7.52E-25, 0.0
+278, 5.71E-25, 5.71E-25, 0.0
+279, 4.33E-25, 4.33E-25, 0.0
+280, 3.28E-25, 3.28E-25, 0.0
+281, 2.48E-25, 2.48E-25, 0.0
+282, 1.88E-25, 1.88E-25, 0.0
+283, 1.42E-25, 1.42E-25, 0.0
+284, 1.07E-25, 1.07E-25, 0.0
+285, 8.05E-26, 8.05E-26, 0.0
+286, 6.06E-26, 6.06E-26, 0.0
+287, 4.56E-26, 4.56E-26, 0.0
+288, 3.43E-26, 3.43E-26, 0.0
+289, 2.58E-26, 2.58E-26, 0.0
+290, 1.93E-26, 1.93E-26, 0.0
+291, 1.45E-26, 1.45E-26, 0.0
+292, 1.09E-26, 1.09E-26, 0.0
+293, 8.13E-27, 8.13E-27, 0.0
+294, 6.09E-27, 6.09E-27, 0.0
+295, 4.55E-27, 4.55E-27, 0.0
+296, 3.40E-27, 3.40E-27, 0.0
+297, 2.54E-27, 2.54E-27, 0.0
+298, 1.90E-27, 1.90E-27, 0.0
+299, 1.42E-27, 1.42E-27, 0.0
+300, 1.06E-27, 1.06E-27, 0.0
+301, 7.88E-28, 7.88E-28, 0.0
+302, 5.88E-28, 5.88E-28, 0.0
+303, 4.38E-28, 4.38E-28, 0.0
+304, 3.26E-28, 3.26E-28, 0.0
+305, 2.43E-28, 2.43E-28, 0.0
+306, 1.81E-28, 1.81E-28, 0.0
+307, 1.35E-28, 1.35E-28, 0.0
+308, 1.00E-28, 1.00E-28, 0.0
+309, 7.46E-29, 7.46E-29, 0.0
+310, 5.54E-29, 5.54E-29, 0.0
+311, 4.13E-29, 4.13E-29, 0.0
+312, 3.07E-29, 3.07E-29, 0.0
+313, 2.27E-29, 2.27E-29, 0.0
+314, 1.70E-29, 1.70E-29, 0.0
+315, 1.26E-29, 1.26E-29, 0.0
+316, 9.28E-30, 9.28E-30, 0.0
+317, 6.88E-30, 6.88E-30, 0.0
+318, 5.12E-30, 5.12E-30, 0.0
+319, 3.84E-30, 3.84E-30, 0.0
+320, 2.88E-30, 2.88E-30, 0.0
+321, 2.08E-30, 2.08E-30, 0.0
+322, 1.60E-30, 1.60E-30, 0.0
+323, 1.12E-30, 1.12E-30, 0.0
+324, 8.00E-31, 8.00E-31, 0.0
+325, 6.40E-31, 6.40E-31, 0.0
+326, 4.80E-31, 4.80E-31, 0.0
+327, 3.20E-31, 3.20E-31, 0.0
+328, 3.20E-31, 3.20E-31, 0.0
+329, 1.60E-31, 1.60E-31, 0.0
+330, 1.60E-31, 1.60E-31, 0.0
+331, 1.60E-31, 1.60E-31, 0.0
+332, 1.60E-31, 1.60E-31, 0.0
\ No newline at end of file
diff --git a/thermo/photo_cross/HPO2/HPO2_ori.txt b/thermo/photo_cross/HPO2/HPO2_ori.txt
new file mode 100644
index 0000000..7abc084
--- /dev/null
+++ b/thermo/photo_cross/HPO2/HPO2_ori.txt
@@ -0,0 +1,215 @@
+#Wavelength HPO2
+#nm cm2
+120 1.51E-17
+121 1.71E-17
+122 1.92E-17
+123 2.13E-17
+124 2.31E-17
+125 2.44E-17
+126 2.50E-17
+127 2.47E-17
+128 2.37E-17
+129 2.21E-17
+130 1.99E-17
+131 1.75E-17
+132 1.50E-17
+133 1.26E-17
+134 1.04E-17
+135 8.62E-18
+136 7.18E-18
+137 6.09E-18
+138 5.27E-18
+139 4.64E-18
+140 4.13E-18
+141 3.66E-18
+142 3.20E-18
+143 2.74E-18
+144 2.28E-18
+145 1.85E-18
+146 1.45E-18
+147 1.10E-18
+148 8.11E-19
+149 5.85E-19
+150 4.21E-19
+151 3.14E-19
+152 2.63E-19
+153 2.67E-19
+154 3.30E-19
+155 4.60E-19
+156 6.68E-19
+157 9.67E-19
+158 1.37E-18
+159 1.89E-18
+160 2.52E-18
+161 3.27E-18
+162 4.11E-18
+163 5.03E-18
+164 5.99E-18
+165 6.94E-18
+166 7.84E-18
+167 8.65E-18
+168 9.32E-18
+169 9.81E-18
+170 1.01E-17
+171 1.02E-17
+172 1.01E-17
+173 9.75E-18
+174 9.27E-18
+175 8.66E-18
+176 7.95E-18
+177 7.19E-18
+178 6.39E-18
+179 5.60E-18
+180 4.85E-18
+181 4.14E-18
+182 3.50E-18
+183 2.93E-18
+184 2.44E-18
+185 2.02E-18
+186 1.66E-18
+187 1.37E-18
+188 1.13E-18
+189 9.38E-19
+190 7.83E-19
+191 6.59E-19
+192 5.59E-19
+193 4.79E-19
+194 4.14E-19
+195 3.61E-19
+196 3.17E-19
+197 2.80E-19
+198 2.49E-19
+199 2.22E-19
+200 2.00E-19
+201 1.81E-19
+202 1.64E-19
+203 1.51E-19
+204 1.39E-19
+205 1.30E-19
+206 1.22E-19
+207 1.15E-19
+208 1.10E-19
+209 1.05E-19
+210 1.01E-19
+211 9.74E-20
+212 9.39E-20
+213 9.04E-20
+214 8.69E-20
+215 8.32E-20
+216 7.94E-20
+217 7.55E-20
+218 7.13E-20
+219 6.70E-20
+220 6.26E-20
+221 5.82E-20
+222 5.37E-20
+223 4.92E-20
+224 4.49E-20
+225 4.07E-20
+226 3.66E-20
+227 3.28E-20
+228 2.92E-20
+229 2.58E-20
+230 2.27E-20
+231 1.99E-20
+232 1.73E-20
+233 1.50E-20
+234 1.29E-20
+235 1.10E-20
+236 9.40E-21
+237 7.98E-21
+238 6.74E-21
+239 5.66E-21
+240 4.74E-21
+241 3.95E-21
+242 3.28E-21
+243 2.71E-21
+244 2.23E-21
+245 1.83E-21
+246 1.50E-21
+247 1.22E-21
+248 9.88E-22
+249 7.99E-22
+250 6.44E-22
+251 5.17E-22
+252 4.15E-22
+253 3.31E-22
+254 2.64E-22
+255 2.09E-22
+256 1.66E-22
+257 1.31E-22
+258 1.03E-22
+259 8.11E-23
+260 6.36E-23
+261 4.97E-23
+262 3.88E-23
+263 3.02E-23
+264 2.35E-23
+265 1.82E-23
+266 1.41E-23
+267 1.09E-23
+268 8.39E-24
+269 6.46E-24
+270 4.96E-24
+271 3.81E-24
+272 2.92E-24
+273 2.23E-24
+274 1.70E-24
+275 1.30E-24
+276 9.89E-25
+277 7.52E-25
+278 5.71E-25
+279 4.33E-25
+280 3.28E-25
+281 2.48E-25
+282 1.88E-25
+283 1.42E-25
+284 1.07E-25
+285 8.05E-26
+286 6.06E-26
+287 4.56E-26
+288 3.43E-26
+289 2.58E-26
+290 1.93E-26
+291 1.45E-26
+292 1.09E-26
+293 8.13E-27
+294 6.09E-27
+295 4.55E-27
+296 3.40E-27
+297 2.54E-27
+298 1.90E-27
+299 1.42E-27
+300 1.06E-27
+301 7.88E-28
+302 5.88E-28
+303 4.38E-28
+304 3.26E-28
+305 2.43E-28
+306 1.81E-28
+307 1.35E-28
+308 1.00E-28
+309 7.46E-29
+310 5.54E-29
+311 4.13E-29
+312 3.07E-29
+313 2.27E-29
+314 1.70E-29
+315 1.26E-29
+316 9.28E-30
+317 6.88E-30
+318 5.12E-30
+319 3.84E-30
+320 2.88E-30
+321 2.08E-30
+322 1.60E-30
+323 1.12E-30
+324 8.00E-31
+325 6.40E-31
+326 4.80E-31
+327 3.20E-31
+328 3.20E-31
+329 1.60E-31
+330 1.60E-31
+331 1.60E-31
+332 1.60E-31
\ No newline at end of file
diff --git a/thermo/photo_cross/P2/P2_branch.csv b/thermo/photo_cross/P2/P2_branch.csv
new file mode 100644
index 0000000..49a3bc2
--- /dev/null
+++ b/thermo/photo_cross/P2/P2_branch.csv
@@ -0,0 +1,4 @@
+# Branching ratios for P2 -> P + P #(Plane calculation)
+# lambda , br_ratio_1
+120.0, 1.
+247.0, 1.
\ No newline at end of file
diff --git a/thermo/photo_cross/P2/P2_cross.csv b/thermo/photo_cross/P2/P2_cross.csv
new file mode 100644
index 0000000..812f1c4
--- /dev/null
+++ b/thermo/photo_cross/P2/P2_cross.csv
@@ -0,0 +1,122 @@
+# wavelength (nm) photoabsorption photodissociation photoionisation (Plane calculation)
+120, 1.68716E-19, 1.68716E-19, 0.0
+121, 3.91323E-19, 3.91323E-19, 0.0
+122, 8.19524E-19, 8.19524E-19, 0.0
+123, 1.55703E-18, 1.55703E-18, 0.0
+124, 2.69600E-18, 2.69600E-18, 0.0
+125, 4.27289E-18, 4.27289E-18, 0.0
+126, 6.22469E-18, 6.22469E-18, 0.0
+127, 8.36857E-18, 8.36857E-18, 0.0
+128, 1.04231E-17, 1.04231E-17, 0.0
+129, 1.20718E-17, 1.20718E-17, 0.0
+130, 1.30478E-17, 1.30478E-17, 0.0
+131, 1.32074E-17, 1.32074E-17, 0.0
+132, 1.25646E-17, 1.25646E-17, 0.0
+133, 1.12759E-17, 1.12759E-17, 0.0
+134, 9.58885E-18, 9.58885E-18, 0.0
+135, 7.77603E-18, 7.77603E-18, 0.0
+136, 6.07944E-18, 6.07944E-18, 0.0
+137, 4.67811E-18, 4.67811E-18, 0.0
+138, 3.68077E-18, 3.68077E-18, 0.0
+139, 3.13649E-18, 3.13649E-18, 0.0
+140, 3.05376E-18, 3.05376E-18, 0.0
+141, 3.42063E-18, 3.42063E-18, 0.0
+142, 4.22194E-18, 4.22194E-18, 0.0
+143, 5.45244E-18, 5.45244E-18, 0.0
+144, 7.12515E-18, 7.12515E-18, 0.0
+145, 9.27348E-18, 9.27348E-18, 0.0
+146, 1.19450E-17, 1.19450E-17, 0.0
+147, 1.51854E-17, 1.51854E-17, 0.0
+148, 1.90138E-17, 1.90138E-17, 0.0
+149, 2.33945E-17, 2.33945E-17, 0.0
+150, 2.82131E-17, 2.82131E-17, 0.0
+151, 3.32653E-17, 3.32653E-17, 0.0
+152, 3.82665E-17, 3.82665E-17, 0.0
+153, 4.28820E-17, 4.28820E-17, 0.0
+154, 4.67738E-17, 4.67738E-17, 0.0
+155, 4.96548E-17, 4.96548E-17, 0.0
+156, 5.13366E-17, 5.13366E-17, 0.0
+157, 5.17612E-17, 5.17612E-17, 0.0
+158, 5.10091E-17, 5.10091E-17, 0.0
+159, 4.92822E-17, 4.92822E-17, 0.0
+160, 4.68677E-17, 4.68677E-17, 0.0
+161, 4.40894E-17, 4.40894E-17, 0.0
+162, 4.12580E-17, 4.12580E-17, 0.0
+163, 3.86293E-17, 3.86293E-17, 0.0
+164, 3.63762E-17, 3.63762E-17, 0.0
+165, 3.45772E-17, 3.45772E-17, 0.0
+166, 3.32213E-17, 3.32213E-17, 0.0
+167, 3.22258E-17, 3.22258E-17, 0.0
+168, 3.14614E-17, 3.14614E-17, 0.0
+169, 3.07798E-17, 3.07798E-17, 0.0
+170, 3.00391E-17, 3.00391E-17, 0.0
+171, 2.91239E-17, 2.91239E-17, 0.0
+172, 2.79571E-17, 2.79571E-17, 0.0
+173, 2.65055E-17, 2.65055E-17, 0.0
+174, 2.47774E-17, 2.47774E-17, 0.0
+175, 2.28158E-17, 2.28158E-17, 0.0
+176, 2.06887E-17, 2.06887E-17, 0.0
+177, 1.84785E-17, 1.84785E-17, 0.0
+178, 1.62715E-17, 1.62715E-17, 0.0
+179, 1.41499E-17, 1.41499E-17, 0.0
+180, 1.21858E-17, 1.21858E-17, 0.0
+181, 1.04375E-17, 1.04375E-17, 0.0
+182, 8.94802E-18, 8.94802E-18, 0.0
+183, 7.74555E-18, 7.74555E-18, 0.0
+184, 6.84453E-18, 6.84453E-18, 0.0
+185, 6.24756E-18, 6.24756E-18, 0.0
+186, 5.94738E-18, 5.94738E-18, 0.0
+187, 5.92857E-18, 5.92857E-18, 0.0
+188, 6.16907E-18, 6.16907E-18, 0.0
+189, 6.64130E-18, 6.64130E-18, 0.0
+190, 7.31304E-18, 7.31304E-18, 0.0
+191, 8.14820E-18, 8.14820E-18, 0.0
+192, 9.10758E-18, 9.10758E-18, 0.0
+193, 1.01497E-17, 1.01497E-17, 0.0
+194, 1.12319E-17, 1.12319E-17, 0.0
+195, 1.23115E-17, 1.23115E-17, 0.0
+196, 1.33472E-17, 1.33472E-17, 0.0
+197, 1.43004E-17, 1.43004E-17, 0.0
+198, 1.51368E-17, 1.51368E-17, 0.0
+199, 1.58275E-17, 1.58275E-17, 0.0
+200, 1.63500E-17, 1.63500E-17, 0.0
+201, 1.66891E-17, 1.66891E-17, 0.0
+202, 1.68367E-17, 1.68367E-17, 0.0
+203, 1.67924E-17, 1.67924E-17, 0.0
+204, 1.65625E-17, 1.65625E-17, 0.0
+205, 1.61594E-17, 1.61594E-17, 0.0
+206, 1.56006E-17, 1.56006E-17, 0.0
+207, 1.49074E-17, 1.49074E-17, 0.0
+208, 1.41037E-17, 1.41037E-17, 0.0
+209, 1.32149E-17, 1.32149E-17, 0.0
+210, 1.22662E-17, 1.22662E-17, 0.0
+211, 1.12822E-17, 1.12822E-17, 0.0
+212, 1.02857E-17, 1.02857E-17, 0.0
+213, 9.29688E-18, 9.29688E-18, 0.0
+214, 8.33327E-18, 8.33327E-18, 0.0
+215, 7.40926E-18, 7.40926E-18, 0.0
+216, 6.53611E-18, 6.53611E-18, 0.0
+217, 5.72202E-18, 5.72202E-18, 0.0
+218, 4.97237E-18, 4.97237E-18, 0.0
+219, 4.28998E-18, 4.28998E-18, 0.0
+220, 3.67551E-18, 3.67551E-18, 0.0
+221, 3.12782E-18, 3.12782E-18, 0.0
+222, 2.64432E-18, 2.64432E-18, 0.0
+223, 2.22136E-18, 2.22136E-18, 0.0
+224, 1.85455E-18, 1.85455E-18, 0.0
+225, 1.53906E-18, 1.53906E-18, 0.0
+226, 1.26984E-18, 1.26984E-18, 0.0
+227, 1.04182E-18, 1.04182E-18, 0.0
+228, 8.50077E-19, 8.50077E-19, 0.0
+229, 6.89956E-19, 6.89956E-19, 0.0
+230, 5.57123E-19, 5.57123E-19, 0.0
+231, 4.47626E-19, 4.47626E-19, 0.0
+232, 3.57915E-19, 3.57915E-19, 0.0
+233, 2.84846E-19, 2.84846E-19, 0.0
+234, 2.25667E-19, 2.25667E-19, 0.0
+235, 1.77998E-19, 1.77998E-19, 0.0
+236, 1.39801E-19, 1.39801E-19, 0.0
+237, 1.09348E-19, 1.09348E-19, 0.0
+238, 8.51873E-20, 8.51873E-20, 0.0
+239, 6.61082E-20, 6.61082E-20, 0.0
+247, 1e-30, 1e-30, 0.0
\ No newline at end of file
diff --git a/thermo/photo_cross/P2/P2_ori.txt b/thermo/photo_cross/P2/P2_ori.txt
new file mode 100644
index 0000000..57becb9
--- /dev/null
+++ b/thermo/photo_cross/P2/P2_ori.txt
@@ -0,0 +1,122 @@
+P2 cross section
+nm cm2 molecule-1
+120 1.68716E-19
+121 3.91323E-19
+122 8.19524E-19
+123 1.55703E-18
+124 2.696E-18
+125 4.27289E-18
+126 6.22469E-18
+127 8.36857E-18
+128 1.04231E-17
+129 1.20718E-17
+130 1.30478E-17
+131 1.32074E-17
+132 1.25646E-17
+133 1.12759E-17
+134 9.58885E-18
+135 7.77603E-18
+136 6.07944E-18
+137 4.67811E-18
+138 3.68077E-18
+139 3.13649E-18
+140 3.05376E-18
+141 3.42063E-18
+142 4.22194E-18
+143 5.45244E-18
+144 7.12515E-18
+145 9.27348E-18
+146 1.1945E-17
+147 1.51854E-17
+148 1.90138E-17
+149 2.33945E-17
+150 2.82131E-17
+151 3.32653E-17
+152 3.82665E-17
+153 4.2882E-17
+154 4.67738E-17
+155 4.96548E-17
+156 5.13366E-17
+157 5.17612E-17
+158 5.10091E-17
+159 4.92822E-17
+160 4.68677E-17
+161 4.40894E-17
+162 4.1258E-17
+163 3.86293E-17
+164 3.63762E-17
+165 3.45772E-17
+166 3.32213E-17
+167 3.22258E-17
+168 3.14614E-17
+169 3.07798E-17
+170 3.00391E-17
+171 2.91239E-17
+172 2.79571E-17
+173 2.65055E-17
+174 2.47774E-17
+175 2.28158E-17
+176 2.06887E-17
+177 1.84785E-17
+178 1.62715E-17
+179 1.41499E-17
+180 1.21858E-17
+181 1.04375E-17
+182 8.94802E-18
+183 7.74555E-18
+184 6.84453E-18
+185 6.24756E-18
+186 5.94738E-18
+187 5.92857E-18
+188 6.16907E-18
+189 6.6413E-18
+190 7.31304E-18
+191 8.1482E-18
+192 9.10758E-18
+193 1.01497E-17
+194 1.12319E-17
+195 1.23115E-17
+196 1.33472E-17
+197 1.43004E-17
+198 1.51368E-17
+199 1.58275E-17
+200 1.635E-17
+201 1.66891E-17
+202 1.68367E-17
+203 1.67924E-17
+204 1.65625E-17
+205 1.61594E-17
+206 1.56006E-17
+207 1.49074E-17
+208 1.41037E-17
+209 1.32149E-17
+210 1.22662E-17
+211 1.12822E-17
+212 1.02857E-17
+213 9.29688E-18
+214 8.33327E-18
+215 7.40926E-18
+216 6.53611E-18
+217 5.72202E-18
+218 4.97237E-18
+219 4.28998E-18
+220 3.67551E-18
+221 3.12782E-18
+222 2.64432E-18
+223 2.22136E-18
+224 1.85455E-18
+225 1.53906E-18
+226 1.26984E-18
+227 1.04182E-18
+228 8.50077E-19
+229 6.89956E-19
+230 5.57123E-19
+231 4.47626E-19
+232 3.57915E-19
+233 2.84846E-19
+234 2.25667E-19
+235 1.77998E-19
+236 1.39801E-19
+237 1.09348E-19
+238 8.51873E-20
+239 6.61082E-20
diff --git a/thermo/photo_cross/P2H2/P2H2_branch.csv b/thermo/photo_cross/P2H2/P2H2_branch.csv
new file mode 100644
index 0000000..88a2919
--- /dev/null
+++ b/thermo/photo_cross/P2H2/P2H2_branch.csv
@@ -0,0 +1,4 @@
+# Branching ratios for P2H2 -> PH + PH #(Plane calculation)
+# lambda , br_ratio_1
+120.0, 1.
+338.0, 1.
\ No newline at end of file
diff --git a/thermo/photo_cross/P2H2/P2H2_cross.csv b/thermo/photo_cross/P2H2/P2H2_cross.csv
new file mode 100644
index 0000000..e1c5d11
--- /dev/null
+++ b/thermo/photo_cross/P2H2/P2H2_cross.csv
@@ -0,0 +1,241 @@
+# wavelength (nm) photoabsorption photodissociation photoionisation (Plane calculation)
+120, 1.08985E-18, 1.08985E-18, 0.0
+121, 2.1388E-18, 2.1388E-18, 0.0
+122, 3.82956E-18, 3.82956E-18, 0.0
+123, 6.30113E-18, 6.30113E-18, 0.0
+124, 9.60104E-18, 9.60104E-18, 0.0
+125, 1.36586E-17, 1.36586E-17, 0.0
+126, 1.8297E-17, 1.8297E-17, 0.0
+127, 2.32751E-17, 2.32751E-17, 0.0
+128, 2.83337E-17, 2.83337E-17, 0.0
+129, 3.322E-17, 3.322E-17, 0.0
+130, 3.76897E-17, 3.76897E-17, 0.0
+131, 4.15021E-17, 4.15021E-17, 0.0
+132, 4.44321E-17, 4.44321E-17, 0.0
+133, 4.63042E-17, 4.63042E-17, 0.0
+134, 4.70345E-17, 4.70345E-17, 0.0
+135, 4.66562E-17, 4.66562E-17, 0.0
+136, 4.53149E-17, 4.53149E-17, 0.0
+137, 4.3235E-17, 4.3235E-17, 0.0
+138, 4.06719E-17, 4.06719E-17, 0.0
+139, 3.7868E-17, 3.7868E-17, 0.0
+140, 3.50224E-17, 3.50224E-17, 0.0
+141, 3.22771E-17, 3.22771E-17, 0.0
+142, 2.97151E-17, 2.97151E-17, 0.0
+143, 2.7368E-17, 2.7368E-17, 0.0
+144, 2.52289E-17, 2.52289E-17, 0.0
+145, 2.3269E-17, 2.3269E-17, 0.0
+146, 2.14547E-17, 2.14547E-17, 0.0
+147, 1.97624E-17, 1.97624E-17, 0.0
+148, 1.81874E-17, 1.81874E-17, 0.0
+149, 1.67455E-17, 1.67455E-17, 0.0
+150, 1.54669E-17, 1.54669E-17, 0.0
+151, 1.43868E-17, 1.43868E-17, 0.0
+152, 1.35342E-17, 1.35342E-17, 0.0
+153, 1.29244E-17, 1.29244E-17, 0.0
+154, 1.25544E-17, 1.25544E-17, 0.0
+155, 1.24032E-17, 1.24032E-17, 0.0
+156, 1.24357E-17, 1.24357E-17, 0.0
+157, 1.2608E-17, 1.2608E-17, 0.0
+158, 1.2874E-17, 1.2874E-17, 0.0
+159, 1.31906E-17, 1.31906E-17, 0.0
+160, 1.35235E-17, 1.35235E-17, 0.0
+161, 1.38495E-17, 1.38495E-17, 0.0
+162, 1.41589E-17, 1.41589E-17, 0.0
+163, 1.44546E-17, 1.44546E-17, 0.0
+164, 1.47508E-17, 1.47508E-17, 0.0
+165, 1.50686E-17, 1.50686E-17, 0.0
+166, 1.54321E-17, 1.54321E-17, 0.0
+167, 1.5864E-17, 1.5864E-17, 0.0
+168, 1.63811E-17, 1.63811E-17, 0.0
+169, 1.69925E-17, 1.69925E-17, 0.0
+170, 1.76984E-17, 1.76984E-17, 0.0
+171, 1.8491E-17, 1.8491E-17, 0.0
+172, 1.93567E-17, 1.93567E-17, 0.0
+173, 2.02784E-17, 2.02784E-17, 0.0
+174, 2.12377E-17, 2.12377E-17, 0.0
+175, 2.2217E-17, 2.2217E-17, 0.0
+176, 2.31998E-17, 2.31998E-17, 0.0
+177, 2.41703E-17, 2.41703E-17, 0.0
+178, 2.51128E-17, 2.51128E-17, 0.0
+179, 2.60101E-17, 2.60101E-17, 0.0
+180, 2.68427E-17, 2.68427E-17, 0.0
+181, 2.75879E-17, 2.75879E-17, 0.0
+182, 2.82205E-17, 2.82205E-17, 0.0
+183, 2.87143E-17, 2.87143E-17, 0.0
+184, 2.90432E-17, 2.90432E-17, 0.0
+185, 2.9184E-17, 2.9184E-17, 0.0
+186, 2.91184E-17, 2.91184E-17, 0.0
+187, 2.88352E-17, 2.88352E-17, 0.0
+188, 2.83309E-17, 2.83309E-17, 0.0
+189, 2.7611E-17, 2.7611E-17, 0.0
+190, 2.66891E-17, 2.66891E-17, 0.0
+191, 2.55863E-17, 2.55863E-17, 0.0
+192, 2.43295E-17, 2.43295E-17, 0.0
+193, 2.29498E-17, 2.29498E-17, 0.0
+194, 2.14802E-17, 2.14802E-17, 0.0
+195, 1.9954E-17, 1.9954E-17, 0.0
+196, 1.84031E-17, 1.84031E-17, 0.0
+197, 1.68569E-17, 1.68569E-17, 0.0
+198, 1.5341E-17, 1.5341E-17, 0.0
+199, 1.3877E-17, 1.3877E-17, 0.0
+200, 1.2482E-17, 1.2482E-17, 0.0
+201, 1.1169E-17, 1.1169E-17, 0.0
+202, 9.94664E-18, 9.94664E-18, 0.0
+203, 8.82021E-18, 8.82021E-18, 0.0
+204, 7.7917E-18, 7.7917E-18, 0.0
+205, 6.86049E-18, 6.86049E-18, 0.0
+206, 6.02385E-18, 6.02385E-18, 0.0
+207, 5.27743E-18, 5.27743E-18, 0.0
+208, 4.61571E-18, 4.61571E-18, 0.0
+209, 4.03237E-18, 4.03237E-18, 0.0
+210, 3.52067E-18, 3.52067E-18, 0.0
+211, 3.07369E-18, 3.07369E-18, 0.0
+212, 2.68455E-18, 2.68455E-18, 0.0
+213, 2.34665E-18, 2.34665E-18, 0.0
+214, 2.05372E-18, 2.05372E-18, 0.0
+215, 1.79997E-18, 1.79997E-18, 0.0
+216, 1.58013E-18, 1.58013E-18, 0.0
+217, 1.38948E-18, 1.38948E-18, 0.0
+218, 1.22386E-18, 1.22386E-18, 0.0
+219, 1.07965E-18, 1.07965E-18, 0.0
+220, 9.53759E-19, 9.53759E-19, 0.0
+221, 8.43576E-19, 8.43576E-19, 0.0
+222, 7.46934E-19, 7.46934E-19, 0.0
+223, 6.62058E-19, 6.62058E-19, 0.0
+224, 5.87525E-19, 5.87525E-19, 0.0
+225, 5.22218E-19, 5.22218E-19, 0.0
+226, 4.65286E-19, 4.65286E-19, 0.0
+227, 4.16107E-19, 4.16107E-19, 0.0
+228, 3.7426E-19, 3.7426E-19, 0.0
+229, 3.39495E-19, 3.39495E-19, 0.0
+230, 3.11715E-19, 3.11715E-19, 0.0
+231, 2.90959E-19, 2.90959E-19, 0.0
+232, 2.77385E-19, 2.77385E-19, 0.0
+233, 2.71263E-19, 2.71263E-19, 0.0
+234, 2.72959E-19, 2.72959E-19, 0.0
+235, 2.82931E-19, 2.82931E-19, 0.0
+236, 3.01715E-19, 3.01715E-19, 0.0
+237, 3.29915E-19, 3.29915E-19, 0.0
+238, 3.68187E-19, 3.68187E-19, 0.0
+239, 4.17228E-19, 4.17228E-19, 0.0
+240, 4.77753E-19, 4.77753E-19, 0.0
+241, 5.50478E-19, 5.50478E-19, 0.0
+242, 6.36097E-19, 6.36097E-19, 0.0
+243, 7.35257E-19, 7.35257E-19, 0.0
+244, 8.48532E-19, 8.48532E-19, 0.0
+245, 9.76397E-19, 9.76397E-19, 0.0
+246, 1.1192E-18, 1.1192E-18, 0.0
+247, 1.27716E-18, 1.27716E-18, 0.0
+248, 1.45028E-18, 1.45028E-18, 0.0
+249, 1.63841E-18, 1.63841E-18, 0.0
+250, 1.84117E-18, 1.84117E-18, 0.0
+251, 2.05798E-18, 2.05798E-18, 0.0
+252, 2.28799E-18, 2.28799E-18, 0.0
+253, 2.53015E-18, 2.53015E-18, 0.0
+254, 2.78319E-18, 2.78319E-18, 0.0
+255, 3.04558E-18, 3.04558E-18, 0.0
+256, 3.31561E-18, 3.31561E-18, 0.0
+257, 3.59139E-18, 3.59139E-18, 0.0
+258, 3.87087E-18, 3.87087E-18, 0.0
+259, 4.15184E-18, 4.15184E-18, 0.0
+260, 4.43202E-18, 4.43202E-18, 0.0
+261, 4.70906E-18, 4.70906E-18, 0.0
+262, 4.98057E-18, 4.98057E-18, 0.0
+263, 5.2442E-18, 5.2442E-18, 0.0
+264, 5.49761E-18, 5.49761E-18, 0.0
+265, 5.73859E-18, 5.73859E-18, 0.0
+266, 5.96503E-18, 5.96503E-18, 0.0
+267, 6.17495E-18, 6.17495E-18, 0.0
+268, 6.3666E-18, 6.3666E-18, 0.0
+269, 6.5384E-18, 6.5384E-18, 0.0
+270, 6.68902E-18, 6.68902E-18, 0.0
+271, 6.81735E-18, 6.81735E-18, 0.0
+272, 6.92257E-18, 6.92257E-18, 0.0
+273, 7.00408E-18, 7.00408E-18, 0.0
+274, 7.06156E-18, 7.06156E-18, 0.0
+275, 7.09494E-18, 7.09494E-18, 0.0
+276, 7.10442E-18, 7.10442E-18, 0.0
+277, 7.0904E-18, 7.0904E-18, 0.0
+278, 7.05354E-18, 7.05354E-18, 0.0
+279, 6.99467E-18, 6.99467E-18, 0.0
+280, 6.91482E-18, 6.91482E-18, 0.0
+281, 6.81517E-18, 6.81517E-18, 0.0
+282, 6.69705E-18, 6.69705E-18, 0.0
+283, 6.56189E-18, 6.56189E-18, 0.0
+284, 6.41121E-18, 6.41121E-18, 0.0
+285, 6.2466E-18, 6.2466E-18, 0.0
+286, 6.06968E-18, 6.06968E-18, 0.0
+287, 5.88208E-18, 5.88208E-18, 0.0
+288, 5.68546E-18, 5.68546E-18, 0.0
+289, 5.48143E-18, 5.48143E-18, 0.0
+290, 5.27155E-18, 5.27155E-18, 0.0
+291, 5.05736E-18, 5.05736E-18, 0.0
+292, 4.84031E-18, 4.84031E-18, 0.0
+293, 4.62176E-18, 4.62176E-18, 0.0
+294, 4.40302E-18, 4.40302E-18, 0.0
+295, 4.18526E-18, 4.18526E-18, 0.0
+296, 3.96959E-18, 3.96959E-18, 0.0
+297, 3.75698E-18, 3.75698E-18, 0.0
+298, 3.54833E-18, 3.54833E-18, 0.0
+299, 3.34442E-18, 3.34442E-18, 0.0
+300, 3.14592E-18, 3.14592E-18, 0.0
+301, 2.95341E-18, 2.95341E-18, 0.0
+302, 2.76738E-18, 2.76738E-18, 0.0
+303, 2.58821E-18, 2.58821E-18, 0.0
+304, 2.41622E-18, 2.41622E-18, 0.0
+305, 2.25161E-18, 2.25161E-18, 0.0
+306, 2.09454E-18, 2.09454E-18, 0.0
+307, 1.9451E-18, 1.9451E-18, 0.0
+308, 1.80329E-18, 1.80329E-18, 0.0
+309, 1.66909E-18, 1.66909E-18, 0.0
+310, 1.54239E-18, 1.54239E-18, 0.0
+311, 1.42309E-18, 1.42309E-18, 0.0
+312, 1.311E-18, 1.311E-18, 0.0
+313, 1.20594E-18, 1.20594E-18, 0.0
+314, 1.10767E-18, 1.10767E-18, 0.0
+315, 1.01595E-18, 1.01595E-18, 0.0
+316, 9.30527E-19, 9.30527E-19, 0.0
+317, 8.51122E-19, 8.51122E-19, 0.0
+318, 7.77453E-19, 7.77453E-19, 0.0
+319, 7.09233E-19, 7.09233E-19, 0.0
+320, 6.46175E-19, 6.46175E-19, 0.0
+321, 5.8799E-19, 5.8799E-19, 0.0
+322, 5.34392E-19, 5.34392E-19, 0.0
+323, 4.85103E-19, 4.85103E-19, 0.0
+324, 4.39847E-19, 4.39847E-19, 0.0
+325, 3.98361E-19, 3.98361E-19, 0.0
+326, 3.60388E-19, 3.60388E-19, 0.0
+327, 3.25682E-19, 3.25682E-19, 0.0
+328, 2.94006E-19, 2.94006E-19, 0.0
+329, 2.65137E-19, 2.65137E-19, 0.0
+330, 2.38862E-19, 2.38862E-19, 0.0
+331, 2.14979E-19, 2.14979E-19, 0.0
+332, 1.93297E-19, 1.93297E-19, 0.0
+333, 1.7364E-19, 1.7364E-19, 0.0
+334, 1.55838E-19, 1.55838E-19, 0.0
+335, 1.39737E-19, 1.39737E-19, 0.0
+336, 1.2519E-19, 1.2519E-19, 0.0
+337, 1.12062E-19, 1.12062E-19, 0.0
+338, 1.00228E-19, 1.00228E-19, 0.0
+339, 8.95702E-20, 8.95702E-20, 0.0
+340, 7.9983E-20, 7.9983E-20, 0.0
+341, 7.13669E-20, 7.13669E-20, 0.0
+342, 6.36312E-20, 6.36312E-20, 0.0
+343, 5.66926E-20, 5.66926E-20, 0.0
+344, 5.04745E-20, 5.04745E-20, 0.0
+345, 4.49072E-20, 4.49072E-20, 0.0
+346, 3.9927E-20, 3.9927E-20, 0.0
+347, 3.54756E-20, 3.54756E-20, 0.0
+348, 3.15003E-20, 3.15003E-20, 0.0
+349, 2.7953E-20, 2.7953E-20, 0.0
+350, 2.479E-20, 2.479E-20, 0.0
+351, 2.19719E-20, 2.19719E-20, 0.0
+352, 1.94629E-20, 1.94629E-20, 0.0
+353, 1.72308E-20, 1.72308E-20, 0.0
+354, 1.52463E-20, 1.52463E-20, 0.0
+355, 1.34832E-20, 1.34832E-20, 0.0
+356, 1.19179E-20, 1.19179E-20, 0.0
+357, 1.0529E-20, 1.0529E-20, 0.0
+358, 9.2974E-21, 9.2974E-21, 0.0
+359, 8.20599E-21, 8.20599E-21, 0.0
\ No newline at end of file
diff --git a/thermo/photo_cross/P2H2/P2H2_ori.txt b/thermo/photo_cross/P2H2/P2H2_ori.txt
new file mode 100644
index 0000000..83dc98a
--- /dev/null
+++ b/thermo/photo_cross/P2H2/P2H2_ori.txt
@@ -0,0 +1,241 @@
+nm Cross section / cm2
+120 1.08985E-18
+121 2.1388E-18
+122 3.82956E-18
+123 6.30113E-18
+124 9.60104E-18
+125 1.36586E-17
+126 1.8297E-17
+127 2.32751E-17
+128 2.83337E-17
+129 3.322E-17
+130 3.76897E-17
+131 4.15021E-17
+132 4.44321E-17
+133 4.63042E-17
+134 4.70345E-17
+135 4.66562E-17
+136 4.53149E-17
+137 4.3235E-17
+138 4.06719E-17
+139 3.7868E-17
+140 3.50224E-17
+141 3.22771E-17
+142 2.97151E-17
+143 2.7368E-17
+144 2.52289E-17
+145 2.3269E-17
+146 2.14547E-17
+147 1.97624E-17
+148 1.81874E-17
+149 1.67455E-17
+150 1.54669E-17
+151 1.43868E-17
+152 1.35342E-17
+153 1.29244E-17
+154 1.25544E-17
+155 1.24032E-17
+156 1.24357E-17
+157 1.2608E-17
+158 1.2874E-17
+159 1.31906E-17
+160 1.35235E-17
+161 1.38495E-17
+162 1.41589E-17
+163 1.44546E-17
+164 1.47508E-17
+165 1.50686E-17
+166 1.54321E-17
+167 1.5864E-17
+168 1.63811E-17
+169 1.69925E-17
+170 1.76984E-17
+171 1.8491E-17
+172 1.93567E-17
+173 2.02784E-17
+174 2.12377E-17
+175 2.2217E-17
+176 2.31998E-17
+177 2.41703E-17
+178 2.51128E-17
+179 2.60101E-17
+180 2.68427E-17
+181 2.75879E-17
+182 2.82205E-17
+183 2.87143E-17
+184 2.90432E-17
+185 2.9184E-17
+186 2.91184E-17
+187 2.88352E-17
+188 2.83309E-17
+189 2.7611E-17
+190 2.66891E-17
+191 2.55863E-17
+192 2.43295E-17
+193 2.29498E-17
+194 2.14802E-17
+195 1.9954E-17
+196 1.84031E-17
+197 1.68569E-17
+198 1.5341E-17
+199 1.3877E-17
+200 1.2482E-17
+201 1.1169E-17
+202 9.94664E-18
+203 8.82021E-18
+204 7.7917E-18
+205 6.86049E-18
+206 6.02385E-18
+207 5.27743E-18
+208 4.61571E-18
+209 4.03237E-18
+210 3.52067E-18
+211 3.07369E-18
+212 2.68455E-18
+213 2.34665E-18
+214 2.05372E-18
+215 1.79997E-18
+216 1.58013E-18
+217 1.38948E-18
+218 1.22386E-18
+219 1.07965E-18
+220 9.53759E-19
+221 8.43576E-19
+222 7.46934E-19
+223 6.62058E-19
+224 5.87525E-19
+225 5.22218E-19
+226 4.65286E-19
+227 4.16107E-19
+228 3.7426E-19
+229 3.39495E-19
+230 3.11715E-19
+231 2.90959E-19
+232 2.77385E-19
+233 2.71263E-19
+234 2.72959E-19
+235 2.82931E-19
+236 3.01715E-19
+237 3.29915E-19
+238 3.68187E-19
+239 4.17228E-19
+240 4.77753E-19
+241 5.50478E-19
+242 6.36097E-19
+243 7.35257E-19
+244 8.48532E-19
+245 9.76397E-19
+246 1.1192E-18
+247 1.27716E-18
+248 1.45028E-18
+249 1.63841E-18
+250 1.84117E-18
+251 2.05798E-18
+252 2.28799E-18
+253 2.53015E-18
+254 2.78319E-18
+255 3.04558E-18
+256 3.31561E-18
+257 3.59139E-18
+258 3.87087E-18
+259 4.15184E-18
+260 4.43202E-18
+261 4.70906E-18
+262 4.98057E-18
+263 5.2442E-18
+264 5.49761E-18
+265 5.73859E-18
+266 5.96503E-18
+267 6.17495E-18
+268 6.3666E-18
+269 6.5384E-18
+270 6.68902E-18
+271 6.81735E-18
+272 6.92257E-18
+273 7.00408E-18
+274 7.06156E-18
+275 7.09494E-18
+276 7.10442E-18
+277 7.0904E-18
+278 7.05354E-18
+279 6.99467E-18
+280 6.91482E-18
+281 6.81517E-18
+282 6.69705E-18
+283 6.56189E-18
+284 6.41121E-18
+285 6.2466E-18
+286 6.06968E-18
+287 5.88208E-18
+288 5.68546E-18
+289 5.48143E-18
+290 5.27155E-18
+291 5.05736E-18
+292 4.84031E-18
+293 4.62176E-18
+294 4.40302E-18
+295 4.18526E-18
+296 3.96959E-18
+297 3.75698E-18
+298 3.54833E-18
+299 3.34442E-18
+300 3.14592E-18
+301 2.95341E-18
+302 2.76738E-18
+303 2.58821E-18
+304 2.41622E-18
+305 2.25161E-18
+306 2.09454E-18
+307 1.9451E-18
+308 1.80329E-18
+309 1.66909E-18
+310 1.54239E-18
+311 1.42309E-18
+312 1.311E-18
+313 1.20594E-18
+314 1.10767E-18
+315 1.01595E-18
+316 9.30527E-19
+317 8.51122E-19
+318 7.77453E-19
+319 7.09233E-19
+320 6.46175E-19
+321 5.8799E-19
+322 5.34392E-19
+323 4.85103E-19
+324 4.39847E-19
+325 3.98361E-19
+326 3.60388E-19
+327 3.25682E-19
+328 2.94006E-19
+329 2.65137E-19
+330 2.38862E-19
+331 2.14979E-19
+332 1.93297E-19
+333 1.7364E-19
+334 1.55838E-19
+335 1.39737E-19
+336 1.2519E-19
+337 1.12062E-19
+338 1.00228E-19
+339 8.95702E-20
+340 7.9983E-20
+341 7.13669E-20
+342 6.36312E-20
+343 5.66926E-20
+344 5.04745E-20
+345 4.49072E-20
+346 3.9927E-20
+347 3.54756E-20
+348 3.15003E-20
+349 2.7953E-20
+350 2.479E-20
+351 2.19719E-20
+352 1.94629E-20
+353 1.72308E-20
+354 1.52463E-20
+355 1.34832E-20
+356 1.19179E-20
+357 1.0529E-20
+358 9.2974E-21
+359 8.20599E-21
diff --git a/thermo/photo_cross/P2H4/P2H4_branch.csv b/thermo/photo_cross/P2H4/P2H4_branch.csv
new file mode 100644
index 0000000..2e1ee34
--- /dev/null
+++ b/thermo/photo_cross/P2H4/P2H4_branch.csv
@@ -0,0 +1,4 @@
+# Branching ratios for P2H4 -> PH2 + PH2 #(Plane calculation)
+# lambda , br_ratio_1
+120.0, 1.
+508.0, 1.
diff --git a/thermo/photo_cross/P2H4/P2H4_cross.csv b/thermo/photo_cross/P2H4/P2H4_cross.csv
new file mode 100644
index 0000000..041b4a5
--- /dev/null
+++ b/thermo/photo_cross/P2H4/P2H4_cross.csv
@@ -0,0 +1,481 @@
+# wavelength (nm) photoabsorption photodissociation photoionisation (Plane calculation)
+120, 6.64706E-20, 6.64706E-20, 0.0
+121, 1.64535E-19, 1.64535E-19, 0.0
+122, 3.67344E-19, 3.67344E-19, 0.0
+123, 7.43197E-19, 7.43197E-19, 0.0
+124, 1.36864E-18, 1.36864E-18, 0.0
+125, 2.30398E-18, 2.30398E-18, 0.0
+126, 3.55996E-18, 3.55996E-18, 0.0
+127, 5.06869E-18, 5.06869E-18, 0.0
+128, 6.6755E-18, 6.6755E-18, 0.0
+129, 8.16304E-18, 8.16304E-18, 0.0
+130, 9.30474E-18, 9.30474E-18, 0.0
+131, 9.93034E-18, 9.93034E-18, 0.0
+132, 9.97952E-18, 9.97952E-18, 0.0
+133, 9.52462E-18, 9.52462E-18, 0.0
+134, 8.75722E-18, 8.75722E-18, 0.0
+135, 7.9464E-18, 7.9464E-18, 0.0
+136, 7.3843E-18, 7.3843E-18, 0.0
+137, 7.33295E-18, 7.33295E-18, 0.0
+138, 7.98163E-18, 7.98163E-18, 0.0
+139, 9.41824E-18, 9.41824E-18, 0.0
+140, 1.16163E-17, 1.16163E-17, 0.0
+141, 1.44384E-17, 1.44384E-17, 0.0
+142, 1.76579E-17, 1.76579E-17, 0.0
+143, 2.09951E-17, 2.09951E-17, 0.0
+144, 2.41648E-17, 2.41648E-17, 0.0
+145, 2.69216E-17, 2.69216E-17, 0.0
+146, 2.90955E-17, 2.90955E-17, 0.0
+147, 3.0606E-17, 3.0606E-17, 0.0
+148, 3.14554E-17, 3.14554E-17, 0.0
+149, 3.17052E-17, 3.17052E-17, 0.0
+150, 3.14445E-17, 3.14445E-17, 0.0
+151, 3.07619E-17, 3.07619E-17, 0.0
+152, 2.97284E-17, 2.97284E-17, 0.0
+153, 2.83934E-17, 2.83934E-17, 0.0
+154, 2.67919E-17, 2.67919E-17, 0.0
+155, 2.49583E-17, 2.49583E-17, 0.0
+156, 2.29382E-17, 2.29382E-17, 0.0
+157, 2.07964E-17, 2.07964E-17, 0.0
+158, 1.86159E-17, 1.86159E-17, 0.0
+159, 1.64915E-17, 1.64915E-17, 0.0
+160, 1.45179E-17, 1.45179E-17, 0.0
+161, 1.27776E-17, 1.27776E-17, 0.0
+162, 1.13299E-17, 1.13299E-17, 0.0
+163, 1.0205E-17, 1.0205E-17, 0.0
+164, 9.40124E-18, 9.40124E-18, 0.0
+165, 8.88879E-18, 8.88879E-18, 0.0
+166, 8.61521E-18, 8.61521E-18, 0.0
+167, 8.51401E-18, 8.51401E-18, 0.0
+168, 8.51357E-18, 8.51357E-18, 0.0
+169, 8.54549E-18, 8.54549E-18, 0.0
+170, 8.55135E-18, 8.55135E-18, 0.0
+171, 8.48736E-18, 8.48736E-18, 0.0
+172, 8.32661E-18, 8.32661E-18, 0.0
+173, 8.05924E-18, 8.05924E-18, 0.0
+174, 7.69063E-18, 7.69063E-18, 0.0
+175, 7.23842E-18, 7.23842E-18, 0.0
+176, 6.72869E-18, 6.72869E-18, 0.0
+177, 6.19202E-18, 6.19202E-18, 0.0
+178, 5.65981E-18, 5.65981E-18, 0.0
+179, 5.16113E-18, 5.16113E-18, 0.0
+180, 4.72049E-18, 4.72049E-18, 0.0
+181, 4.35637E-18, 4.35637E-18, 0.0
+182, 4.08062E-18, 4.08062E-18, 0.0
+183, 3.89853E-18, 3.89853E-18, 0.0
+184, 3.80952E-18, 3.80952E-18, 0.0
+185, 3.80811E-18, 3.80811E-18, 0.0
+186, 3.88517E-18, 3.88517E-18, 0.0
+187, 4.02918E-18, 4.02918E-18, 0.0
+188, 4.22745E-18, 4.22745E-18, 0.0
+189, 4.46718E-18, 4.46718E-18, 0.0
+190, 4.73625E-18, 4.73625E-18, 0.0
+191, 5.02382E-18, 5.02382E-18, 0.0
+192, 5.32062E-18, 5.32062E-18, 0.0
+193, 5.61908E-18, 5.61908E-18, 0.0
+194, 5.91322E-18, 5.91322E-18, 0.0
+195, 6.19845E-18, 6.19845E-18, 0.0
+196, 6.47124E-18, 6.47124E-18, 0.0
+197, 6.72886E-18, 6.72886E-18, 0.0
+198, 6.96911E-18, 6.96911E-18, 0.0
+199, 7.19012E-18, 7.19012E-18, 0.0
+200, 7.39025E-18, 7.39025E-18, 0.0
+201, 7.56812E-18, 7.56812E-18, 0.0
+202, 7.7227E-18, 7.7227E-18, 0.0
+203, 7.85344E-18, 7.85344E-18, 0.0
+204, 7.96047E-18, 7.96047E-18, 0.0
+205, 8.04482E-18, 8.04482E-18, 0.0
+206, 8.10847E-18, 8.10847E-18, 0.0
+207, 8.15452E-18, 8.15452E-18, 0.0
+208, 8.18712E-18, 8.18712E-18, 0.0
+209, 8.21137E-18, 8.21137E-18, 0.0
+210, 8.23311E-18, 8.23311E-18, 0.0
+211, 8.25865E-18, 8.25865E-18, 0.0
+212, 8.29441E-18, 8.29441E-18, 0.0
+213, 8.34652E-18, 8.34652E-18, 0.0
+214, 8.42046E-18, 8.42046E-18, 0.0
+215, 8.52067E-18, 8.52067E-18, 0.0
+216, 8.65026E-18, 8.65026E-18, 0.0
+217, 8.81075E-18, 8.81075E-18, 0.0
+218, 9.00191E-18, 9.00191E-18, 0.0
+219, 9.22174E-18, 9.22174E-18, 0.0
+220, 9.4665E-18, 9.4665E-18, 0.0
+221, 9.73084E-18, 9.73084E-18, 0.0
+222, 1.00081E-17, 1.00081E-17, 0.0
+223, 1.02903E-17, 1.02903E-17, 0.0
+224, 1.05692E-17, 1.05692E-17, 0.0
+225, 1.08357E-17, 1.08357E-17, 0.0
+226, 1.10809E-17, 1.10809E-17, 0.0
+227, 1.12963E-17, 1.12963E-17, 0.0
+228, 1.14741E-17, 1.14741E-17, 0.0
+229, 1.16074E-17, 1.16074E-17, 0.0
+230, 1.16905E-17, 1.16905E-17, 0.0
+231, 1.17192E-17, 1.17192E-17, 0.0
+232, 1.16906E-17, 1.16906E-17, 0.0
+233, 1.16033E-17, 1.16033E-17, 0.0
+234, 1.14575E-17, 1.14575E-17, 0.0
+235, 1.12547E-17, 1.12547E-17, 0.0
+236, 1.09977E-17, 1.09977E-17, 0.0
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+576, 8.14122E-20, 8.14122E-20, 0.0
+577, 7.9219E-20, 7.9219E-20, 0.0
+578, 7.70789E-20, 7.70789E-20, 0.0
+579, 7.49909E-20, 7.49909E-20, 0.0
+580, 7.2954E-20, 7.2954E-20, 0.0
+581, 7.09672E-20, 7.09672E-20, 0.0
+582, 6.90295E-20, 6.90295E-20, 0.0
+583, 6.714E-20, 6.714E-20, 0.0
+584, 6.52975E-20, 6.52975E-20, 0.0
+585, 6.35013E-20, 6.35013E-20, 0.0
+586, 6.17502E-20, 6.17502E-20, 0.0
+587, 6.00435E-20, 6.00435E-20, 0.0
+588, 5.83801E-20, 5.83801E-20, 0.0
+589, 5.67592E-20, 5.67592E-20, 0.0
+590, 5.51797E-20, 5.51797E-20, 0.0
+591, 5.36409E-20, 5.36409E-20, 0.0
+592, 5.21418E-20, 5.21418E-20, 0.0
+593, 5.06816E-20, 5.06816E-20, 0.0
+594, 4.92593E-20, 4.92593E-20, 0.0
+595, 4.78742E-20, 4.78742E-20, 0.0
+596, 4.65255E-20, 4.65255E-20, 0.0
+597, 4.52122E-20, 4.52122E-20, 0.0
+598, 4.39335E-20, 4.39335E-20, 0.0
+599, 4.26887E-20, 4.26887E-20, 0.0
\ No newline at end of file
diff --git a/thermo/photo_cross/P2H4/P2H4_ori.txt b/thermo/photo_cross/P2H4/P2H4_ori.txt
new file mode 100644
index 0000000..9c0f8e4
--- /dev/null
+++ b/thermo/photo_cross/P2H4/P2H4_ori.txt
@@ -0,0 +1,481 @@
+nm cross section / cm2
+120 6.64706E-20
+121 1.64535E-19
+122 3.67344E-19
+123 7.43197E-19
+124 1.36864E-18
+125 2.30398E-18
+126 3.55996E-18
+127 5.06869E-18
+128 6.6755E-18
+129 8.16304E-18
+130 9.30474E-18
+131 9.93034E-18
+132 9.97952E-18
+133 9.52462E-18
+134 8.75722E-18
+135 7.9464E-18
+136 7.3843E-18
+137 7.33295E-18
+138 7.98163E-18
+139 9.41824E-18
+140 1.16163E-17
+141 1.44384E-17
+142 1.76579E-17
+143 2.09951E-17
+144 2.41648E-17
+145 2.69216E-17
+146 2.90955E-17
+147 3.0606E-17
+148 3.14554E-17
+149 3.17052E-17
+150 3.14445E-17
+151 3.07619E-17
+152 2.97284E-17
+153 2.83934E-17
+154 2.67919E-17
+155 2.49583E-17
+156 2.29382E-17
+157 2.07964E-17
+158 1.86159E-17
+159 1.64915E-17
+160 1.45179E-17
+161 1.27776E-17
+162 1.13299E-17
+163 1.0205E-17
+164 9.40124E-18
+165 8.88879E-18
+166 8.61521E-18
+167 8.51401E-18
+168 8.51357E-18
+169 8.54549E-18
+170 8.55135E-18
+171 8.48736E-18
+172 8.32661E-18
+173 8.05924E-18
+174 7.69063E-18
+175 7.23842E-18
+176 6.72869E-18
+177 6.19202E-18
+178 5.65981E-18
+179 5.16113E-18
+180 4.72049E-18
+181 4.35637E-18
+182 4.08062E-18
+183 3.89853E-18
+184 3.80952E-18
+185 3.80811E-18
+186 3.88517E-18
+187 4.02918E-18
+188 4.22745E-18
+189 4.46718E-18
+190 4.73625E-18
+191 5.02382E-18
+192 5.32062E-18
+193 5.61908E-18
+194 5.91322E-18
+195 6.19845E-18
+196 6.47124E-18
+197 6.72886E-18
+198 6.96911E-18
+199 7.19012E-18
+200 7.39025E-18
+201 7.56812E-18
+202 7.7227E-18
+203 7.85344E-18
+204 7.96047E-18
+205 8.04482E-18
+206 8.10847E-18
+207 8.15452E-18
+208 8.18712E-18
+209 8.21137E-18
+210 8.23311E-18
+211 8.25865E-18
+212 8.29441E-18
+213 8.34652E-18
+214 8.42046E-18
+215 8.52067E-18
+216 8.65026E-18
+217 8.81075E-18
+218 9.00191E-18
+219 9.22174E-18
+220 9.4665E-18
+221 9.73084E-18
+222 1.00081E-17
+223 1.02903E-17
+224 1.05692E-17
+225 1.08357E-17
+226 1.10809E-17
+227 1.12963E-17
+228 1.14741E-17
+229 1.16074E-17
+230 1.16905E-17
+231 1.17192E-17
+232 1.16906E-17
+233 1.16033E-17
+234 1.14575E-17
+235 1.12547E-17
+236 1.09977E-17
+237 1.06904E-17
+238 1.03375E-17
+239 9.94475E-18
+240 9.51802E-18
+241 9.06367E-18
+242 8.58815E-18
+243 8.09786E-18
+244 7.59897E-18
+245 7.09731E-18
+246 6.59824E-18
+247 6.10662E-18
+248 5.62671E-18
+249 5.16218E-18
+250 4.71606E-18
+251 4.29078E-18
+252 3.88818E-18
+253 3.50955E-18
+254 3.15568E-18
+255 2.82692E-18
+256 2.5232E-18
+257 2.24413E-18
+258 1.98903E-18
+259 1.75699E-18
+260 1.54693E-18
+261 1.35763E-18
+262 1.18779E-18
+263 1.03604E-18
+264 9.01008E-19
+265 7.81324E-19
+266 6.75642E-19
+267 5.82663E-19
+268 5.01149E-19
+269 4.29929E-19
+270 3.67907E-19
+271 3.14068E-19
+272 2.67478E-19
+273 2.27281E-19
+274 1.92703E-19
+275 1.63044E-19
+276 1.37676E-19
+277 1.16039E-19
+278 9.76365E-20
+279 8.20303E-20
+280 6.88347E-20
+281 5.77128E-20
+282 4.83711E-20
+283 4.05557E-20
+284 3.40473E-20
+285 2.8658E-20
+286 2.42274E-20
+287 2.06195E-20
+288 1.77194E-20
+289 1.54312E-20
+290 1.36753E-20
+291 1.23863E-20
+292 1.15114E-20
+293 1.10083E-20
+294 1.08444E-20
+295 1.09952E-20
+296 1.14431E-20
+297 1.21768E-20
+298 1.31902E-20
+299 1.44816E-20
+300 1.60535E-20
+301 1.79116E-20
+302 2.00643E-20
+303 2.25228E-20
+304 2.52997E-20
+305 2.84098E-20
+306 3.18687E-20
+307 3.56931E-20
+308 3.99004E-20
+309 4.45082E-20
+310 4.95342E-20
+311 5.49958E-20
+312 6.09101E-20
+313 6.72932E-20
+314 7.41604E-20
+315 8.15258E-20
+316 8.94019E-20
+317 9.77997E-20
+318 1.06728E-19
+319 1.16195E-19
+320 1.26204E-19
+321 1.36759E-19
+322 1.47859E-19
+323 1.59502E-19
+324 1.71683E-19
+325 1.84394E-19
+326 1.97624E-19
+327 2.11359E-19
+328 2.25583E-19
+329 2.40278E-19
+330 2.55421E-19
+331 2.70988E-19
+332 2.86951E-19
+333 3.03282E-19
+334 3.19949E-19
+335 3.36918E-19
+336 3.54152E-19
+337 3.71615E-19
+338 3.89268E-19
+339 4.0707E-19
+340 4.2498E-19
+341 4.42955E-19
+342 4.60954E-19
+343 4.78933E-19
+344 4.96848E-19
+345 5.14658E-19
+346 5.3232E-19
+347 5.49792E-19
+348 5.67034E-19
+349 5.84006E-19
+350 6.0067E-19
+351 6.16989E-19
+352 6.3293E-19
+353 6.48458E-19
+354 6.63545E-19
+355 6.78161E-19
+356 6.9228E-19
+357 7.0588E-19
+358 7.1894E-19
+359 7.31441E-19
+360 7.43368E-19
+361 7.54709E-19
+362 7.65454E-19
+363 7.75595E-19
+364 7.85127E-19
+365 7.9405E-19
+366 8.02364E-19
+367 8.10071E-19
+368 8.17179E-19
+369 8.23693E-19
+370 8.29626E-19
+371 8.34988E-19
+372 8.39794E-19
+373 8.4406E-19
+374 8.47803E-19
+375 8.51042E-19
+376 8.53798E-19
+377 8.56092E-19
+378 8.57947E-19
+379 8.59385E-19
+380 8.60432E-19
+381 8.6111E-19
+382 8.61445E-19
+383 8.61463E-19
+384 8.61188E-19
+385 8.60645E-19
+386 8.59859E-19
+387 8.58855E-19
+388 8.57656E-19
+389 8.56286E-19
+390 8.54767E-19
+391 8.53123E-19
+392 8.51373E-19
+393 8.49538E-19
+394 8.47637E-19
+395 8.45689E-19
+396 8.4371E-19
+397 8.41716E-19
+398 8.39722E-19
+399 8.37741E-19
+400 8.35786E-19
+401 8.33867E-19
+402 8.31994E-19
+403 8.30176E-19
+404 8.28421E-19
+405 8.26733E-19
+406 8.25118E-19
+407 8.2358E-19
+408 8.22121E-19
+409 8.20744E-19
+410 8.19447E-19
+411 8.18232E-19
+412 8.17096E-19
+413 8.16038E-19
+414 8.15053E-19
+415 8.14139E-19
+416 8.1329E-19
+417 8.12502E-19
+418 8.11768E-19
+419 8.11081E-19
+420 8.10436E-19
+421 8.09824E-19
+422 8.09239E-19
+423 8.08671E-19
+424 8.08113E-19
+425 8.07555E-19
+426 8.06991E-19
+427 8.06409E-19
+428 8.05803E-19
+429 8.05163E-19
+430 8.04481E-19
+431 8.03747E-19
+432 8.02954E-19
+433 8.02092E-19
+434 8.01154E-19
+435 8.00132E-19
+436 7.99018E-19
+437 7.97805E-19
+438 7.96486E-19
+439 7.95054E-19
+440 7.93502E-19
+441 7.91826E-19
+442 7.90018E-19
+443 7.88074E-19
+444 7.8599E-19
+445 7.8376E-19
+446 7.81381E-19
+447 7.7885E-19
+448 7.76163E-19
+449 7.73317E-19
+450 7.70311E-19
+451 7.67143E-19
+452 7.63811E-19
+453 7.60315E-19
+454 7.56653E-19
+455 7.52826E-19
+456 7.48834E-19
+457 7.44678E-19
+458 7.40358E-19
+459 7.35876E-19
+460 7.31234E-19
+461 7.26434E-19
+462 7.21477E-19
+463 7.16368E-19
+464 7.11108E-19
+465 7.05701E-19
+466 7.0015E-19
+467 6.94459E-19
+468 6.88631E-19
+469 6.82672E-19
+470 6.76585E-19
+471 6.70374E-19
+472 6.64045E-19
+473 6.57602E-19
+474 6.51049E-19
+475 6.44393E-19
+476 6.37637E-19
+477 6.30788E-19
+478 6.23849E-19
+479 6.16828E-19
+480 6.09728E-19
+481 6.02555E-19
+482 5.95315E-19
+483 5.88013E-19
+484 5.80655E-19
+485 5.73245E-19
+486 5.65788E-19
+487 5.58291E-19
+488 5.50758E-19
+489 5.43195E-19
+490 5.35607E-19
+491 5.27998E-19
+492 5.20373E-19
+493 5.12738E-19
+494 5.05097E-19
+495 4.97455E-19
+496 4.89816E-19
+497 4.82185E-19
+498 4.74566E-19
+499 4.66964E-19
+500 4.59382E-19
+501 4.51824E-19
+502 4.44295E-19
+503 4.36797E-19
+504 4.29335E-19
+505 4.21912E-19
+506 4.14532E-19
+507 4.07196E-19
+508 3.9991E-19
+509 3.92675E-19
+510 3.85494E-19
+511 3.78371E-19
+512 3.71307E-19
+513 3.64305E-19
+514 3.57367E-19
+515 3.50495E-19
+516 3.43692E-19
+517 3.3696E-19
+518 3.30299E-19
+519 3.23712E-19
+520 3.17201E-19
+521 3.10766E-19
+522 3.04409E-19
+523 2.98132E-19
+524 2.91934E-19
+525 2.85819E-19
+526 2.79785E-19
+527 2.73834E-19
+528 2.67968E-19
+529 2.62185E-19
+530 2.56487E-19
+531 2.50875E-19
+532 2.45348E-19
+533 2.39907E-19
+534 2.34551E-19
+535 2.29282E-19
+536 2.24099E-19
+537 2.19002E-19
+538 2.13991E-19
+539 2.09066E-19
+540 2.04226E-19
+541 1.99471E-19
+542 1.94801E-19
+543 1.90216E-19
+544 1.85714E-19
+545 1.81296E-19
+546 1.76961E-19
+547 1.72708E-19
+548 1.68537E-19
+549 1.64446E-19
+550 1.60436E-19
+551 1.56506E-19
+552 1.52654E-19
+553 1.4888E-19
+554 1.45182E-19
+555 1.41562E-19
+556 1.38016E-19
+557 1.34545E-19
+558 1.31147E-19
+559 1.27821E-19
+560 1.24568E-19
+561 1.21384E-19
+562 1.18271E-19
+563 1.15226E-19
+564 1.12248E-19
+565 1.09337E-19
+566 1.06492E-19
+567 1.03711E-19
+568 1.00993E-19
+569 9.83379E-20
+570 9.57442E-20
+571 9.32107E-20
+572 9.07366E-20
+573 8.83207E-20
+574 8.5962E-20
+575 8.36595E-20
+576 8.14122E-20
+577 7.9219E-20
+578 7.70789E-20
+579 7.49909E-20
+580 7.2954E-20
+581 7.09672E-20
+582 6.90295E-20
+583 6.714E-20
+584 6.52975E-20
+585 6.35013E-20
+586 6.17502E-20
+587 6.00435E-20
+588 5.83801E-20
+589 5.67592E-20
+590 5.51797E-20
+591 5.36409E-20
+592 5.21418E-20
+593 5.06816E-20
+594 4.92593E-20
+595 4.78742E-20
+596 4.65255E-20
+597 4.52122E-20
+598 4.39335E-20
+599 4.26887E-20
diff --git a/thermo/photo_cross/PH/PH_branch.csv b/thermo/photo_cross/PH/PH_branch.csv
new file mode 100644
index 0000000..ab32170
--- /dev/null
+++ b/thermo/photo_cross/PH/PH_branch.csv
@@ -0,0 +1,4 @@
+# Branching ratios for PH -> P + H
+# lambda , br_ratio_1
+117.0, 1.
+189.9, 1.
diff --git a/thermo/photo_cross/PH/PH_cross.csv b/thermo/photo_cross/PH/PH_cross.csv
new file mode 100644
index 0000000..83788cb
--- /dev/null
+++ b/thermo/photo_cross/PH/PH_cross.csv
@@ -0,0 +1,731 @@
+# wavelength (nm) photoabsorption photodissociation photoionisation (cm^2)
+ 117.0000000, 2.77982e-27, 2.77982e-27, 0.000000e+00
+ 117.1000000, 9.69511e-27, 9.69511e-27, 0.000000e+00
+ 117.2000000, 4.60181e-26, 4.60181e-26, 0.000000e+00
+ 117.3000000, 2.06821e-25, 2.06821e-25, 0.000000e+00
+ 117.4000000, 8.80141e-25, 8.80141e-25, 0.000000e+00
+ 117.5000000, 3.54650e-24, 3.54650e-24, 0.000000e+00
+ 117.6000000, 1.35312e-23, 1.35312e-23, 0.000000e+00
+ 117.7000000, 4.88833e-23, 4.88833e-23, 0.000000e+00
+ 117.8000000, 1.67214e-22, 1.67214e-22, 0.000000e+00
+ 117.9000000, 5.41588e-22, 5.41588e-22, 0.000000e+00
+ 118.0000000, 1.66092e-21, 1.66092e-21, 0.000000e+00
+ 118.1000000, 4.82293e-21, 4.82293e-21, 0.000000e+00
+ 118.2000000, 1.32602e-20, 1.32602e-20, 0.000000e+00
+ 118.3000000, 3.45198e-20, 3.45198e-20, 0.000000e+00
+ 118.4000000, 8.50863e-20, 8.50863e-20, 0.000000e+00
+ 118.5000000, 1.98574e-19, 1.98574e-19, 0.000000e+00
+ 118.6000000, 4.38788e-19, 4.38788e-19, 0.000000e+00
+ 118.7000000, 9.18023e-19, 9.18023e-19, 0.000000e+00
+ 118.8000000, 1.81851e-18, 1.81851e-18, 0.000000e+00
+ 118.9000000, 3.41068e-18, 3.41068e-18, 0.000000e+00
+ 119.0000000, 6.05653e-18, 6.05653e-18, 0.000000e+00
+ 119.1000000, 1.01827e-17, 1.01827e-17, 0.000000e+00
+ 119.2000000, 1.62091e-17, 1.62091e-17, 0.000000e+00
+ 119.3000000, 2.44291e-17, 2.44291e-17, 0.000000e+00
+ 119.4000000, 3.48582e-17, 3.48582e-17, 0.000000e+00
+ 119.5000000, 4.70926e-17, 4.70926e-17, 0.000000e+00
+ 119.6000000, 6.02349e-17, 6.02349e-17, 0.000000e+00
+ 119.7000000, 7.29441e-17, 7.29441e-17, 0.000000e+00
+ 119.8000000, 8.36331e-17, 8.36331e-17, 0.000000e+00
+ 119.9000000, 9.07843e-17, 9.07843e-17, 0.000000e+00
+ 120.0000000, 9.33015e-17, 9.33015e-17, 0.000000e+00
+ 120.1000000, 9.07843e-17, 9.07843e-17, 0.000000e+00
+ 120.2000000, 8.36331e-17, 8.36331e-17, 0.000000e+00
+ 120.3000000, 7.29441e-17, 7.29441e-17, 0.000000e+00
+ 120.4000000, 6.02349e-17, 6.02349e-17, 0.000000e+00
+ 120.5000000, 4.70926e-17, 4.70926e-17, 0.000000e+00
+ 120.6000000, 3.48582e-17, 3.48582e-17, 0.000000e+00
+ 120.7000000, 2.44291e-17, 2.44291e-17, 0.000000e+00
+ 120.8000000, 1.62091e-17, 1.62091e-17, 0.000000e+00
+ 120.9000000, 1.01827e-17, 1.01827e-17, 0.000000e+00
+ 121.0000000, 6.05653e-18, 6.05653e-18, 0.000000e+00
+ 121.1000000, 3.41068e-18, 3.41068e-18, 0.000000e+00
+ 121.2000000, 1.81851e-18, 1.81851e-18, 0.000000e+00
+ 121.3000000, 9.18023e-19, 9.18023e-19, 0.000000e+00
+ 121.4000000, 4.38788e-19, 4.38788e-19, 0.000000e+00
+ 121.5000000, 1.98574e-19, 1.98574e-19, 0.000000e+00
+ 121.6000000, 8.50863e-20, 8.50863e-20, 0.000000e+00
+ 121.7000000, 3.45198e-20, 3.45198e-20, 0.000000e+00
+ 121.8000000, 1.32602e-20, 1.32602e-20, 0.000000e+00
+ 121.9000000, 4.82293e-21, 4.82293e-21, 0.000000e+00
+ 122.0000000, 1.66092e-21, 1.66092e-21, 0.000000e+00
+ 122.1000000, 5.41588e-22, 5.41588e-22, 0.000000e+00
+ 122.2000000, 1.67214e-22, 1.67214e-22, 0.000000e+00
+ 122.3000000, 4.88833e-23, 4.88833e-23, 0.000000e+00
+ 122.4000000, 1.35312e-23, 1.35312e-23, 0.000000e+00
+ 122.5000000, 3.54650e-24, 3.54650e-24, 0.000000e+00
+ 122.6000000, 8.80141e-25, 8.80141e-25, 0.000000e+00
+ 122.7000000, 2.06821e-25, 2.06821e-25, 0.000000e+00
+ 122.8000000, 4.60181e-26, 4.60181e-26, 0.000000e+00
+ 122.9000000, 9.96282e-27, 9.96282e-27, 0.000000e+00
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+ 177.9000000, 2.57857e-19, 2.57857e-19, 0.000000e+00
+ 178.0000000, 2.55319e-19, 2.55319e-19, 0.000000e+00
+ 178.1000000, 2.52781e-19, 2.52781e-19, 0.000000e+00
+ 178.2000000, 2.50243e-19, 2.50243e-19, 0.000000e+00
+ 178.3000000, 2.47705e-19, 2.47705e-19, 0.000000e+00
+ 178.4000000, 2.45167e-19, 2.45167e-19, 0.000000e+00
+ 178.5000000, 2.42629e-19, 2.42629e-19, 0.000000e+00
+ 178.6000000, 2.40090e-19, 2.40090e-19, 0.000000e+00
+ 178.7000000, 2.37552e-19, 2.37552e-19, 0.000000e+00
+ 178.8000000, 2.35014e-19, 2.35014e-19, 0.000000e+00
+ 178.9000000, 2.32476e-19, 2.32476e-19, 0.000000e+00
+ 179.0000000, 2.29938e-19, 2.29938e-19, 0.000000e+00
+ 179.1000000, 2.27400e-19, 2.27400e-19, 0.000000e+00
+ 179.2000000, 2.24862e-19, 2.24862e-19, 0.000000e+00
+ 179.3000000, 2.22324e-19, 2.22324e-19, 0.000000e+00
+ 179.4000000, 2.19786e-19, 2.19786e-19, 0.000000e+00
+ 179.5000000, 2.17248e-19, 2.17248e-19, 0.000000e+00
+ 179.6000000, 2.14710e-19, 2.14710e-19, 0.000000e+00
+ 179.7000000, 2.12171e-19, 2.12171e-19, 0.000000e+00
+ 179.8000000, 2.09633e-19, 2.09633e-19, 0.000000e+00
+ 179.9000000, 2.07095e-19, 2.07095e-19, 0.000000e+00
+ 180.0000000, 2.04557e-19, 2.04557e-19, 0.000000e+00
+ 180.1000000, 2.02019e-19, 2.02019e-19, 0.000000e+00
+ 180.2000000, 1.99481e-19, 1.99481e-19, 0.000000e+00
+ 180.3000000, 1.96943e-19, 1.96943e-19, 0.000000e+00
+ 180.4000000, 1.94405e-19, 1.94405e-19, 0.000000e+00
+ 180.5000000, 1.91867e-19, 1.91867e-19, 0.000000e+00
+ 180.6000000, 1.89329e-19, 1.89329e-19, 0.000000e+00
+ 180.7000000, 1.86790e-19, 1.86790e-19, 0.000000e+00
+ 180.8000000, 1.84252e-19, 1.84252e-19, 0.000000e+00
+ 180.9000000, 1.81714e-19, 1.81714e-19, 0.000000e+00
+ 181.0000000, 1.79176e-19, 1.79176e-19, 0.000000e+00
+ 181.1000000, 1.76638e-19, 1.76638e-19, 0.000000e+00
+ 181.2000000, 1.74100e-19, 1.74100e-19, 0.000000e+00
+ 181.3000000, 1.71562e-19, 1.71562e-19, 0.000000e+00
+ 181.4000000, 1.69024e-19, 1.69024e-19, 0.000000e+00
+ 181.5000000, 1.66486e-19, 1.66486e-19, 0.000000e+00
+ 181.6000000, 1.63948e-19, 1.63948e-19, 0.000000e+00
+ 181.7000000, 1.61410e-19, 1.61410e-19, 0.000000e+00
+ 181.8000000, 1.58871e-19, 1.58871e-19, 0.000000e+00
+ 181.9000000, 1.56333e-19, 1.56333e-19, 0.000000e+00
+ 182.0000000, 1.53795e-19, 1.53795e-19, 0.000000e+00
+ 182.1000000, 1.51257e-19, 1.51257e-19, 0.000000e+00
+ 182.2000000, 1.48719e-19, 1.48719e-19, 0.000000e+00
+ 182.3000000, 1.46181e-19, 1.46181e-19, 0.000000e+00
+ 182.4000000, 1.43643e-19, 1.43643e-19, 0.000000e+00
+ 182.5000000, 1.41105e-19, 1.41105e-19, 0.000000e+00
+ 182.6000000, 1.38567e-19, 1.38567e-19, 0.000000e+00
+ 182.7000000, 1.36029e-19, 1.36029e-19, 0.000000e+00
+ 182.8000000, 1.33490e-19, 1.33490e-19, 0.000000e+00
+ 182.9000000, 1.30952e-19, 1.30952e-19, 0.000000e+00
+ 183.0000000, 1.28414e-19, 1.28414e-19, 0.000000e+00
+ 183.1000000, 1.25876e-19, 1.25876e-19, 0.000000e+00
+ 183.2000000, 1.23338e-19, 1.23338e-19, 0.000000e+00
+ 183.3000000, 1.20800e-19, 1.20800e-19, 0.000000e+00
+ 183.4000000, 1.18262e-19, 1.18262e-19, 0.000000e+00
+ 183.5000000, 1.15724e-19, 1.15724e-19, 0.000000e+00
+ 183.6000000, 1.13186e-19, 1.13186e-19, 0.000000e+00
+ 183.7000000, 1.10648e-19, 1.10648e-19, 0.000000e+00
+ 183.8000000, 1.08110e-19, 1.08110e-19, 0.000000e+00
+ 183.9000000, 1.05571e-19, 1.05571e-19, 0.000000e+00
+ 184.0000000, 1.03033e-19, 1.03033e-19, 0.000000e+00
+ 184.1000000, 1.00495e-19, 1.00495e-19, 0.000000e+00
+ 184.2000000, 9.79571e-20, 9.79571e-20, 0.000000e+00
+ 184.3000000, 9.54190e-20, 9.54190e-20, 0.000000e+00
+ 184.4000000, 9.28810e-20, 9.28810e-20, 0.000000e+00
+ 184.5000000, 9.03429e-20, 9.03429e-20, 0.000000e+00
+ 184.6000000, 8.78048e-20, 8.78048e-20, 0.000000e+00
+ 184.7000000, 8.52667e-20, 8.52667e-20, 0.000000e+00
+ 184.8000000, 8.27286e-20, 8.27286e-20, 0.000000e+00
+ 184.9000000, 8.01905e-20, 8.01905e-20, 0.000000e+00
+ 185.0000000, 7.76524e-20, 7.76524e-20, 0.000000e+00
+ 185.1000000, 7.51143e-20, 7.51143e-20, 0.000000e+00
+ 185.2000000, 7.25762e-20, 7.25762e-20, 0.000000e+00
+ 185.3000000, 7.00381e-20, 7.00381e-20, 0.000000e+00
+ 185.4000000, 6.75000e-20, 6.75000e-20, 0.000000e+00
+ 185.5000000, 6.49619e-20, 6.49619e-20, 0.000000e+00
+ 185.6000000, 6.24238e-20, 6.24238e-20, 0.000000e+00
+ 185.7000000, 5.98857e-20, 5.98857e-20, 0.000000e+00
+ 185.8000000, 5.73476e-20, 5.73476e-20, 0.000000e+00
+ 185.9000000, 5.48095e-20, 5.48095e-20, 0.000000e+00
+ 186.0000000, 5.22714e-20, 5.22714e-20, 0.000000e+00
+ 186.1000000, 4.97333e-20, 4.97333e-20, 0.000000e+00
+ 186.2000000, 4.71952e-20, 4.71952e-20, 0.000000e+00
+ 186.3000000, 4.46571e-20, 4.46571e-20, 0.000000e+00
+ 186.4000000, 4.21190e-20, 4.21190e-20, 0.000000e+00
+ 186.5000000, 3.95810e-20, 3.95810e-20, 0.000000e+00
+ 186.6000000, 3.70429e-20, 3.70429e-20, 0.000000e+00
+ 186.7000000, 3.45048e-20, 3.45048e-20, 0.000000e+00
+ 186.8000000, 3.19667e-20, 3.19667e-20, 0.000000e+00
+ 186.9000000, 2.94286e-20, 2.94286e-20, 0.000000e+00
+ 187.0000000, 2.68905e-20, 2.68905e-20, 0.000000e+00
+ 187.1000000, 2.43524e-20, 2.43524e-20, 0.000000e+00
+ 187.2000000, 2.18143e-20, 2.18143e-20, 0.000000e+00
+ 187.3000000, 1.92762e-20, 1.92762e-20, 0.000000e+00
+ 187.4000000, 1.67381e-20, 1.67381e-20, 0.000000e+00
+ 187.5000000, 1.44463e-20, 1.44463e-20, 0.000000e+00
+ 187.6000000, 1.36320e-20, 1.36320e-20, 0.000000e+00
+ 187.7000000, 1.30640e-20, 1.30640e-20, 0.000000e+00
+ 187.8000000, 1.24960e-20, 1.24960e-20, 0.000000e+00
+ 187.9000000, 1.19280e-20, 1.19280e-20, 0.000000e+00
+ 188.0000000, 1.13600e-20, 1.13600e-20, 0.000000e+00
+ 188.1000000, 1.07920e-20, 1.07920e-20, 0.000000e+00
+ 188.2000000, 1.02240e-20, 1.02240e-20, 0.000000e+00
+ 188.3000000, 9.65600e-21, 9.65600e-21, 0.000000e+00
+ 188.4000000, 9.08800e-21, 9.08800e-21, 0.000000e+00
+ 188.5000000, 8.52000e-21, 8.52000e-21, 0.000000e+00
+ 188.6000000, 7.95200e-21, 7.95200e-21, 0.000000e+00
+ 188.7000000, 7.38400e-21, 7.38400e-21, 0.000000e+00
+ 188.8000000, 6.81600e-21, 6.81600e-21, 0.000000e+00
+ 188.9000000, 6.24800e-21, 6.24800e-21, 0.000000e+00
+ 189.0000000, 5.68000e-21, 5.68000e-21, 0.000000e+00
+ 189.1000000, 5.11200e-21, 5.11200e-21, 0.000000e+00
+ 189.2000000, 4.54400e-21, 4.54400e-21, 0.000000e+00
+ 189.3000000, 3.97600e-21, 3.97600e-21, 0.000000e+00
+ 189.4000000, 3.40800e-21, 3.40800e-21, 0.000000e+00
+ 189.5000000, 2.84000e-21, 2.84000e-21, 0.000000e+00
+ 189.6000000, 2.27200e-21, 2.27200e-21, 0.000000e+00
+ 189.7000000, 1.70400e-21, 1.70400e-21, 0.000000e+00
+ 189.8000000, 1.13600e-21, 1.13600e-21, 0.000000e+00
+ 189.9000000, 7.10000e-22, 7.10000e-22, 0.000000e+00
\ No newline at end of file
diff --git a/thermo/photo_cross/PH/PH_ori.txt b/thermo/photo_cross/PH/PH_ori.txt
new file mode 100644
index 0000000..cd9a49e
--- /dev/null
+++ b/thermo/photo_cross/PH/PH_ori.txt
@@ -0,0 +1,739 @@
+# Cross sections for PH
+# Converted from earlier Leiden database cross sections by Alan Heays 2016-02-24
+# Photodissociation source: PH P.D. CF. NH SHIFTED
+# Lines represented with gaussian of width 1.0 nm FWHM
+# wavelength: (nm)
+# photoabsorption: cross section (cm2)
+# photodissociation: cross section (cm2)
+#
+# wavelength photoabsorption photodissociation
+ 117.0000000 2.77982e-27 2.77982e-27
+ 117.1000000 9.69511e-27 9.69511e-27
+ 117.2000000 4.60181e-26 4.60181e-26
+ 117.3000000 2.06821e-25 2.06821e-25
+ 117.4000000 8.80141e-25 8.80141e-25
+ 117.5000000 3.54650e-24 3.54650e-24
+ 117.6000000 1.35312e-23 1.35312e-23
+ 117.7000000 4.88833e-23 4.88833e-23
+ 117.8000000 1.67214e-22 1.67214e-22
+ 117.9000000 5.41588e-22 5.41588e-22
+ 118.0000000 1.66092e-21 1.66092e-21
+ 118.1000000 4.82293e-21 4.82293e-21
+ 118.2000000 1.32602e-20 1.32602e-20
+ 118.3000000 3.45198e-20 3.45198e-20
+ 118.4000000 8.50863e-20 8.50863e-20
+ 118.5000000 1.98574e-19 1.98574e-19
+ 118.6000000 4.38788e-19 4.38788e-19
+ 118.7000000 9.18023e-19 9.18023e-19
+ 118.8000000 1.81851e-18 1.81851e-18
+ 118.9000000 3.41068e-18 3.41068e-18
+ 119.0000000 6.05653e-18 6.05653e-18
+ 119.1000000 1.01827e-17 1.01827e-17
+ 119.2000000 1.62091e-17 1.62091e-17
+ 119.3000000 2.44291e-17 2.44291e-17
+ 119.4000000 3.48582e-17 3.48582e-17
+ 119.5000000 4.70926e-17 4.70926e-17
+ 119.6000000 6.02349e-17 6.02349e-17
+ 119.7000000 7.29441e-17 7.29441e-17
+ 119.8000000 8.36331e-17 8.36331e-17
+ 119.9000000 9.07843e-17 9.07843e-17
+ 120.0000000 9.33015e-17 9.33015e-17
+ 120.1000000 9.07843e-17 9.07843e-17
+ 120.2000000 8.36331e-17 8.36331e-17
+ 120.3000000 7.29441e-17 7.29441e-17
+ 120.4000000 6.02349e-17 6.02349e-17
+ 120.5000000 4.70926e-17 4.70926e-17
+ 120.6000000 3.48582e-17 3.48582e-17
+ 120.7000000 2.44291e-17 2.44291e-17
+ 120.8000000 1.62091e-17 1.62091e-17
+ 120.9000000 1.01827e-17 1.01827e-17
+ 121.0000000 6.05653e-18 6.05653e-18
+ 121.1000000 3.41068e-18 3.41068e-18
+ 121.2000000 1.81851e-18 1.81851e-18
+ 121.3000000 9.18023e-19 9.18023e-19
+ 121.4000000 4.38788e-19 4.38788e-19
+ 121.5000000 1.98574e-19 1.98574e-19
+ 121.6000000 8.50863e-20 8.50863e-20
+ 121.7000000 3.45198e-20 3.45198e-20
+ 121.8000000 1.32602e-20 1.32602e-20
+ 121.9000000 4.82293e-21 4.82293e-21
+ 122.0000000 1.66092e-21 1.66092e-21
+ 122.1000000 5.41588e-22 5.41588e-22
+ 122.2000000 1.67214e-22 1.67214e-22
+ 122.3000000 4.88833e-23 4.88833e-23
+ 122.4000000 1.35312e-23 1.35312e-23
+ 122.5000000 3.54650e-24 3.54650e-24
+ 122.6000000 8.80141e-25 8.80141e-25
+ 122.7000000 2.06821e-25 2.06821e-25
+ 122.8000000 4.60181e-26 4.60181e-26
+ 122.9000000 9.96282e-27 9.96282e-27
+ 123.0000000 3.50908e-27 3.50908e-27
+ 123.1000000 4.38681e-28 4.38681e-28
+ 123.2000000 0.00000e+00 0.00000e+00
+ 123.3000000 0.00000e+00 0.00000e+00
+ 123.4000000 0.00000e+00 0.00000e+00
+ 123.5000000 0.00000e+00 0.00000e+00
+ 123.6000000 0.00000e+00 0.00000e+00
+ 123.7000000 0.00000e+00 0.00000e+00
+ 123.8000000 0.00000e+00 0.00000e+00
+ 123.9000000 0.00000e+00 0.00000e+00
+ 124.0000000 0.00000e+00 0.00000e+00
+ 124.1000000 0.00000e+00 0.00000e+00
+ 124.2000000 0.00000e+00 0.00000e+00
+ 124.3000000 0.00000e+00 0.00000e+00
+ 124.4000000 0.00000e+00 0.00000e+00
+ 124.5000000 0.00000e+00 0.00000e+00
+ 124.6000000 0.00000e+00 0.00000e+00
+ 124.7000000 0.00000e+00 0.00000e+00
+ 124.8000000 0.00000e+00 0.00000e+00
+ 124.9000000 0.00000e+00 0.00000e+00
+ 125.0000000 0.00000e+00 0.00000e+00
+ 125.1000000 0.00000e+00 0.00000e+00
+ 125.2000000 0.00000e+00 0.00000e+00
+ 125.3000000 0.00000e+00 0.00000e+00
+ 125.4000000 0.00000e+00 0.00000e+00
+ 125.5000000 0.00000e+00 0.00000e+00
+ 125.6000000 0.00000e+00 0.00000e+00
+ 125.7000000 0.00000e+00 0.00000e+00
+ 125.8000000 0.00000e+00 0.00000e+00
+ 125.9000000 0.00000e+00 0.00000e+00
+ 126.0000000 0.00000e+00 0.00000e+00
+ 126.1000000 0.00000e+00 0.00000e+00
+ 126.2000000 0.00000e+00 0.00000e+00
+ 126.3000000 0.00000e+00 0.00000e+00
+ 126.4000000 0.00000e+00 0.00000e+00
+ 126.5000000 0.00000e+00 0.00000e+00
+ 126.6000000 0.00000e+00 0.00000e+00
+ 126.7000000 0.00000e+00 0.00000e+00
+ 126.8000000 0.00000e+00 0.00000e+00
+ 126.9000000 0.00000e+00 0.00000e+00
+ 127.0000000 0.00000e+00 0.00000e+00
+ 127.1000000 0.00000e+00 0.00000e+00
+ 127.2000000 0.00000e+00 0.00000e+00
+ 127.3000000 0.00000e+00 0.00000e+00
+ 127.4000000 0.00000e+00 0.00000e+00
+ 127.5000000 0.00000e+00 0.00000e+00
+ 127.6000000 0.00000e+00 0.00000e+00
+ 127.7000000 0.00000e+00 0.00000e+00
+ 127.8000000 0.00000e+00 0.00000e+00
+ 127.9000000 0.00000e+00 0.00000e+00
+ 128.0000000 0.00000e+00 0.00000e+00
+ 128.1000000 0.00000e+00 0.00000e+00
+ 128.2000000 0.00000e+00 0.00000e+00
+ 128.3000000 0.00000e+00 0.00000e+00
+ 128.4000000 0.00000e+00 0.00000e+00
+ 128.5000000 0.00000e+00 0.00000e+00
+ 128.6000000 0.00000e+00 0.00000e+00
+ 128.7000000 0.00000e+00 0.00000e+00
+ 128.8000000 0.00000e+00 0.00000e+00
+ 128.9000000 0.00000e+00 0.00000e+00
+ 129.0000000 0.00000e+00 0.00000e+00
+ 129.1000000 0.00000e+00 0.00000e+00
+ 129.2000000 0.00000e+00 0.00000e+00
+ 129.3000000 0.00000e+00 0.00000e+00
+ 129.4000000 0.00000e+00 0.00000e+00
+ 129.5000000 0.00000e+00 0.00000e+00
+ 129.6000000 0.00000e+00 0.00000e+00
+ 129.7000000 0.00000e+00 0.00000e+00
+ 129.8000000 0.00000e+00 0.00000e+00
+ 129.9000000 0.00000e+00 0.00000e+00
+ 130.0000000 4.16667e-22 4.16667e-22
+ 130.1000000 3.33333e-21 3.33333e-21
+ 130.2000000 6.66667e-21 6.66667e-21
+ 130.3000000 1.00000e-20 1.00000e-20
+ 130.4000000 1.33333e-20 1.33333e-20
+ 130.5000000 1.66667e-20 1.66667e-20
+ 130.6000000 2.00000e-20 2.00000e-20
+ 130.7000000 2.33333e-20 2.33333e-20
+ 130.8000000 2.66667e-20 2.66667e-20
+ 130.9000000 3.00000e-20 3.00000e-20
+ 131.0000000 3.33333e-20 3.33333e-20
+ 131.1000000 3.66667e-20 3.66667e-20
+ 131.2000000 4.00000e-20 4.00000e-20
+ 131.3000000 4.33333e-20 4.33333e-20
+ 131.4000000 4.66667e-20 4.66667e-20
+ 131.5000000 5.00000e-20 5.00000e-20
+ 131.6000000 5.33333e-20 5.33333e-20
+ 131.7000000 5.66667e-20 5.66667e-20
+ 131.8000000 6.00000e-20 6.00000e-20
+ 131.9000000 6.33333e-20 6.33333e-20
+ 132.0000000 6.66667e-20 6.66667e-20
+ 132.1000000 7.00000e-20 7.00000e-20
+ 132.2000000 7.33333e-20 7.33333e-20
+ 132.3000000 7.66667e-20 7.66667e-20
+ 132.4000000 8.00000e-20 8.00000e-20
+ 132.5000000 8.33333e-20 8.33333e-20
+ 132.6000000 8.66667e-20 8.66667e-20
+ 132.7000000 9.00000e-20 9.00000e-20
+ 132.8000000 9.33333e-20 9.33333e-20
+ 132.9000000 9.66667e-20 9.66667e-20
+ 133.0000000 1.01942e-19 1.01942e-19
+ 133.1000000 1.18870e-19 1.18870e-19
+ 133.2000000 1.37739e-19 1.37739e-19
+ 133.3000000 1.56609e-19 1.56609e-19
+ 133.4000000 1.75478e-19 1.75478e-19
+ 133.5000000 1.94348e-19 1.94348e-19
+ 133.6000000 2.13217e-19 2.13217e-19
+ 133.7000000 2.32087e-19 2.32087e-19
+ 133.8000000 2.50957e-19 2.50957e-19
+ 133.9000000 2.69826e-19 2.69826e-19
+ 134.0000000 2.88696e-19 2.88696e-19
+ 134.1000000 3.07565e-19 3.07565e-19
+ 134.2000000 3.26435e-19 3.26435e-19
+ 134.3000000 3.45304e-19 3.45304e-19
+ 134.4000000 3.64174e-19 3.64174e-19
+ 134.5000000 3.83043e-19 3.83043e-19
+ 134.6000000 4.01913e-19 4.01913e-19
+ 134.7000000 4.20783e-19 4.20783e-19
+ 134.8000000 4.39652e-19 4.39652e-19
+ 134.9000000 4.58522e-19 4.58522e-19
+ 135.0000000 4.77391e-19 4.77391e-19
+ 135.1000000 4.96261e-19 4.96261e-19
+ 135.2000000 5.15130e-19 5.15130e-19
+ 135.3000000 5.35095e-19 5.35095e-19
+ 135.4000000 5.61630e-19 5.61630e-19
+ 135.5000000 5.89259e-19 5.89259e-19
+ 135.6000000 6.16889e-19 6.16889e-19
+ 135.7000000 6.44519e-19 6.44519e-19
+ 135.8000000 6.72148e-19 6.72148e-19
+ 135.9000000 6.99778e-19 6.99778e-19
+ 136.0000000 7.27407e-19 7.27407e-19
+ 136.1000000 7.55037e-19 7.55037e-19
+ 136.2000000 7.82667e-19 7.82667e-19
+ 136.3000000 8.10296e-19 8.10296e-19
+ 136.4000000 8.37926e-19 8.37926e-19
+ 136.5000000 8.65556e-19 8.65556e-19
+ 136.6000000 8.93185e-19 8.93185e-19
+ 136.7000000 9.20815e-19 9.20815e-19
+ 136.8000000 9.48444e-19 9.48444e-19
+ 136.9000000 9.76074e-19 9.76074e-19
+ 137.0000000 1.00370e-18 1.00370e-18
+ 137.1000000 1.03133e-18 1.03133e-18
+ 137.2000000 1.05896e-18 1.05896e-18
+ 137.3000000 1.08659e-18 1.08659e-18
+ 137.4000000 1.11422e-18 1.11422e-18
+ 137.5000000 1.14185e-18 1.14185e-18
+ 137.6000000 1.16948e-18 1.16948e-18
+ 137.7000000 1.19711e-18 1.19711e-18
+ 137.8000000 1.22474e-18 1.22474e-18
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+ 176.8000000 2.85776e-19 2.85776e-19
+ 176.9000000 2.83238e-19 2.83238e-19
+ 177.0000000 2.80700e-19 2.80700e-19
+ 177.1000000 2.78162e-19 2.78162e-19
+ 177.2000000 2.75624e-19 2.75624e-19
+ 177.3000000 2.73086e-19 2.73086e-19
+ 177.4000000 2.70548e-19 2.70548e-19
+ 177.5000000 2.68010e-19 2.68010e-19
+ 177.6000000 2.65471e-19 2.65471e-19
+ 177.7000000 2.62933e-19 2.62933e-19
+ 177.8000000 2.60395e-19 2.60395e-19
+ 177.9000000 2.57857e-19 2.57857e-19
+ 178.0000000 2.55319e-19 2.55319e-19
+ 178.1000000 2.52781e-19 2.52781e-19
+ 178.2000000 2.50243e-19 2.50243e-19
+ 178.3000000 2.47705e-19 2.47705e-19
+ 178.4000000 2.45167e-19 2.45167e-19
+ 178.5000000 2.42629e-19 2.42629e-19
+ 178.6000000 2.40090e-19 2.40090e-19
+ 178.7000000 2.37552e-19 2.37552e-19
+ 178.8000000 2.35014e-19 2.35014e-19
+ 178.9000000 2.32476e-19 2.32476e-19
+ 179.0000000 2.29938e-19 2.29938e-19
+ 179.1000000 2.27400e-19 2.27400e-19
+ 179.2000000 2.24862e-19 2.24862e-19
+ 179.3000000 2.22324e-19 2.22324e-19
+ 179.4000000 2.19786e-19 2.19786e-19
+ 179.5000000 2.17248e-19 2.17248e-19
+ 179.6000000 2.14710e-19 2.14710e-19
+ 179.7000000 2.12171e-19 2.12171e-19
+ 179.8000000 2.09633e-19 2.09633e-19
+ 179.9000000 2.07095e-19 2.07095e-19
+ 180.0000000 2.04557e-19 2.04557e-19
+ 180.1000000 2.02019e-19 2.02019e-19
+ 180.2000000 1.99481e-19 1.99481e-19
+ 180.3000000 1.96943e-19 1.96943e-19
+ 180.4000000 1.94405e-19 1.94405e-19
+ 180.5000000 1.91867e-19 1.91867e-19
+ 180.6000000 1.89329e-19 1.89329e-19
+ 180.7000000 1.86790e-19 1.86790e-19
+ 180.8000000 1.84252e-19 1.84252e-19
+ 180.9000000 1.81714e-19 1.81714e-19
+ 181.0000000 1.79176e-19 1.79176e-19
+ 181.1000000 1.76638e-19 1.76638e-19
+ 181.2000000 1.74100e-19 1.74100e-19
+ 181.3000000 1.71562e-19 1.71562e-19
+ 181.4000000 1.69024e-19 1.69024e-19
+ 181.5000000 1.66486e-19 1.66486e-19
+ 181.6000000 1.63948e-19 1.63948e-19
+ 181.7000000 1.61410e-19 1.61410e-19
+ 181.8000000 1.58871e-19 1.58871e-19
+ 181.9000000 1.56333e-19 1.56333e-19
+ 182.0000000 1.53795e-19 1.53795e-19
+ 182.1000000 1.51257e-19 1.51257e-19
+ 182.2000000 1.48719e-19 1.48719e-19
+ 182.3000000 1.46181e-19 1.46181e-19
+ 182.4000000 1.43643e-19 1.43643e-19
+ 182.5000000 1.41105e-19 1.41105e-19
+ 182.6000000 1.38567e-19 1.38567e-19
+ 182.7000000 1.36029e-19 1.36029e-19
+ 182.8000000 1.33490e-19 1.33490e-19
+ 182.9000000 1.30952e-19 1.30952e-19
+ 183.0000000 1.28414e-19 1.28414e-19
+ 183.1000000 1.25876e-19 1.25876e-19
+ 183.2000000 1.23338e-19 1.23338e-19
+ 183.3000000 1.20800e-19 1.20800e-19
+ 183.4000000 1.18262e-19 1.18262e-19
+ 183.5000000 1.15724e-19 1.15724e-19
+ 183.6000000 1.13186e-19 1.13186e-19
+ 183.7000000 1.10648e-19 1.10648e-19
+ 183.8000000 1.08110e-19 1.08110e-19
+ 183.9000000 1.05571e-19 1.05571e-19
+ 184.0000000 1.03033e-19 1.03033e-19
+ 184.1000000 1.00495e-19 1.00495e-19
+ 184.2000000 9.79571e-20 9.79571e-20
+ 184.3000000 9.54190e-20 9.54190e-20
+ 184.4000000 9.28810e-20 9.28810e-20
+ 184.5000000 9.03429e-20 9.03429e-20
+ 184.6000000 8.78048e-20 8.78048e-20
+ 184.7000000 8.52667e-20 8.52667e-20
+ 184.8000000 8.27286e-20 8.27286e-20
+ 184.9000000 8.01905e-20 8.01905e-20
+ 185.0000000 7.76524e-20 7.76524e-20
+ 185.1000000 7.51143e-20 7.51143e-20
+ 185.2000000 7.25762e-20 7.25762e-20
+ 185.3000000 7.00381e-20 7.00381e-20
+ 185.4000000 6.75000e-20 6.75000e-20
+ 185.5000000 6.49619e-20 6.49619e-20
+ 185.6000000 6.24238e-20 6.24238e-20
+ 185.7000000 5.98857e-20 5.98857e-20
+ 185.8000000 5.73476e-20 5.73476e-20
+ 185.9000000 5.48095e-20 5.48095e-20
+ 186.0000000 5.22714e-20 5.22714e-20
+ 186.1000000 4.97333e-20 4.97333e-20
+ 186.2000000 4.71952e-20 4.71952e-20
+ 186.3000000 4.46571e-20 4.46571e-20
+ 186.4000000 4.21190e-20 4.21190e-20
+ 186.5000000 3.95810e-20 3.95810e-20
+ 186.6000000 3.70429e-20 3.70429e-20
+ 186.7000000 3.45048e-20 3.45048e-20
+ 186.8000000 3.19667e-20 3.19667e-20
+ 186.9000000 2.94286e-20 2.94286e-20
+ 187.0000000 2.68905e-20 2.68905e-20
+ 187.1000000 2.43524e-20 2.43524e-20
+ 187.2000000 2.18143e-20 2.18143e-20
+ 187.3000000 1.92762e-20 1.92762e-20
+ 187.4000000 1.67381e-20 1.67381e-20
+ 187.5000000 1.44463e-20 1.44463e-20
+ 187.6000000 1.36320e-20 1.36320e-20
+ 187.7000000 1.30640e-20 1.30640e-20
+ 187.8000000 1.24960e-20 1.24960e-20
+ 187.9000000 1.19280e-20 1.19280e-20
+ 188.0000000 1.13600e-20 1.13600e-20
+ 188.1000000 1.07920e-20 1.07920e-20
+ 188.2000000 1.02240e-20 1.02240e-20
+ 188.3000000 9.65600e-21 9.65600e-21
+ 188.4000000 9.08800e-21 9.08800e-21
+ 188.5000000 8.52000e-21 8.52000e-21
+ 188.6000000 7.95200e-21 7.95200e-21
+ 188.7000000 7.38400e-21 7.38400e-21
+ 188.8000000 6.81600e-21 6.81600e-21
+ 188.9000000 6.24800e-21 6.24800e-21
+ 189.0000000 5.68000e-21 5.68000e-21
+ 189.1000000 5.11200e-21 5.11200e-21
+ 189.2000000 4.54400e-21 4.54400e-21
+ 189.3000000 3.97600e-21 3.97600e-21
+ 189.4000000 3.40800e-21 3.40800e-21
+ 189.5000000 2.84000e-21 2.84000e-21
+ 189.6000000 2.27200e-21 2.27200e-21
+ 189.7000000 1.70400e-21 1.70400e-21
+ 189.8000000 1.13600e-21 1.13600e-21
+ 189.9000000 7.10000e-22 7.10000e-22
\ No newline at end of file
diff --git a/thermo/photo_cross/PH2/PH2_branch.csv b/thermo/photo_cross/PH2/PH2_branch.csv
new file mode 100644
index 0000000..aab28e5
--- /dev/null
+++ b/thermo/photo_cross/PH2/PH2_branch.csv
@@ -0,0 +1,4 @@
+# Branching ratios for PH2 -> PH + H
+# lambda , br_ratio_1
+120.0, 1.
+299.0, 1.
\ No newline at end of file
diff --git a/thermo/photo_cross/PH2/PH2_cross.csv b/thermo/photo_cross/PH2/PH2_cross.csv
new file mode 100644
index 0000000..4638008
--- /dev/null
+++ b/thermo/photo_cross/PH2/PH2_cross.csv
@@ -0,0 +1,181 @@
+# wavelength (nm) photoabsorption photodissociation photoionisation (cm^2)
+120, 7.76E-18, 7.76E-18, 0.0
+121, 6.24E-18, 6.24E-18, 0.0
+122, 6.03E-18, 6.03E-18, 0.0
+123, 7.09E-18, 7.09E-18, 0.0
+124, 9.15E-18, 9.15E-18, 0.0
+125, 1.18E-17, 1.18E-17, 0.0
+126, 1.44E-17, 1.44E-17, 0.0
+127, 1.64E-17, 1.64E-17, 0.0
+128, 1.75E-17, 1.75E-17, 0.0
+129, 1.74E-17, 1.74E-17, 0.0
+130, 1.61E-17, 1.61E-17, 0.0
+131, 1.41E-17, 1.41E-17, 0.0
+132, 1.17E-17, 1.17E-17, 0.0
+133, 9.22E-18, 9.22E-18, 0.0
+134, 7.10E-18, 7.10E-18, 0.0
+135, 5.46E-18, 5.46E-18, 0.0
+136, 4.37E-18, 4.37E-18, 0.0
+137, 3.79E-18, 3.79E-18, 0.0
+138, 3.68E-18, 3.68E-18, 0.0
+139, 3.94E-18, 3.94E-18, 0.0
+140, 4.51E-18, 4.51E-18, 0.0
+141, 5.31E-18, 5.31E-18, 0.0
+142, 6.28E-18, 6.28E-18, 0.0
+143, 7.35E-18, 7.35E-18, 0.0
+144, 8.43E-18, 8.43E-18, 0.0
+145, 9.44E-18, 9.44E-18, 0.0
+146, 1.03E-17, 1.03E-17, 0.0
+147, 1.09E-17, 1.09E-17, 0.0
+148, 1.12E-17, 1.12E-17, 0.0
+149, 1.13E-17, 1.13E-17, 0.0
+150, 1.11E-17, 1.11E-17, 0.0
+151, 1.07E-17, 1.07E-17, 0.0
+152, 1.03E-17, 1.03E-17, 0.0
+153, 9.93E-18, 9.93E-18, 0.0
+154, 9.70E-18, 9.70E-18, 0.0
+155, 9.70E-18, 9.70E-18, 0.0
+156, 1.00E-17, 1.00E-17, 0.0
+157, 1.06E-17, 1.06E-17, 0.0
+158, 1.15E-17, 1.15E-17, 0.0
+159, 1.26E-17, 1.26E-17, 0.0
+160, 1.38E-17, 1.38E-17, 0.0
+161, 1.50E-17, 1.50E-17, 0.0
+162, 1.61E-17, 1.61E-17, 0.0
+163, 1.70E-17, 1.70E-17, 0.0
+164, 1.76E-17, 1.76E-17, 0.0
+165, 1.78E-17, 1.78E-17, 0.0
+166, 1.77E-17, 1.77E-17, 0.0
+167, 1.72E-17, 1.72E-17, 0.0
+168, 1.64E-17, 1.64E-17, 0.0
+169, 1.53E-17, 1.53E-17, 0.0
+170, 1.41E-17, 1.41E-17, 0.0
+171, 1.27E-17, 1.27E-17, 0.0
+172, 1.13E-17, 1.13E-17, 0.0
+173, 9.85E-18, 9.85E-18, 0.0
+174, 8.49E-18, 8.49E-18, 0.0
+175, 7.22E-18, 7.22E-18, 0.0
+176, 6.08E-18, 6.08E-18, 0.0
+177, 5.06E-18, 5.06E-18, 0.0
+178, 4.18E-18, 4.18E-18, 0.0
+179, 3.42E-18, 3.42E-18, 0.0
+180, 2.78E-18, 2.78E-18, 0.0
+181, 2.25E-18, 2.25E-18, 0.0
+182, 1.82E-18, 1.82E-18, 0.0
+183, 1.46E-18, 1.46E-18, 0.0
+184, 1.17E-18, 1.17E-18, 0.0
+185, 9.40E-19, 9.40E-19, 0.0
+186, 7.54E-19, 7.54E-19, 0.0
+187, 6.07E-19, 6.07E-19, 0.0
+188, 4.92E-19, 4.92E-19, 0.0
+189, 4.04E-19, 4.04E-19, 0.0
+190, 3.38E-19, 3.38E-19, 0.0
+191, 2.92E-19, 2.92E-19, 0.0
+192, 2.62E-19, 2.62E-19, 0.0
+193, 2.48E-19, 2.48E-19, 0.0
+194, 2.49E-19, 2.49E-19, 0.0
+195, 2.64E-19, 2.64E-19, 0.0
+196, 2.94E-19, 2.94E-19, 0.0
+197, 3.39E-19, 3.39E-19, 0.0
+198, 4.00E-19, 4.00E-19, 0.0
+199, 4.77E-19, 4.77E-19, 0.0
+200, 5.72E-19, 5.72E-19, 0.0
+201, 6.84E-19, 6.84E-19, 0.0
+202, 8.15E-19, 8.15E-19, 0.0
+203, 9.64E-19, 9.64E-19, 0.0
+204, 1.13E-18, 1.13E-18, 0.0
+205, 1.31E-18, 1.31E-18, 0.0
+206, 1.51E-18, 1.51E-18, 0.0
+207, 1.71E-18, 1.71E-18, 0.0
+208, 1.93E-18, 1.93E-18, 0.0
+209, 2.15E-18, 2.15E-18, 0.0
+210, 2.37E-18, 2.37E-18, 0.0
+211, 2.59E-18, 2.59E-18, 0.0
+212, 2.79E-18, 2.79E-18, 0.0
+213, 2.99E-18, 2.99E-18, 0.0
+214, 3.17E-18, 3.17E-18, 0.0
+215, 3.32E-18, 3.32E-18, 0.0
+216, 3.45E-18, 3.45E-18, 0.0
+217, 3.56E-18, 3.56E-18, 0.0
+218, 3.64E-18, 3.64E-18, 0.0
+219, 3.68E-18, 3.68E-18, 0.0
+220, 3.70E-18, 3.70E-18, 0.0
+221, 3.68E-18, 3.68E-18, 0.0
+222, 3.64E-18, 3.64E-18, 0.0
+223, 3.57E-18, 3.57E-18, 0.0
+224, 3.47E-18, 3.47E-18, 0.0
+225, 3.36E-18, 3.36E-18, 0.0
+226, 3.22E-18, 3.22E-18, 0.0
+227, 3.07E-18, 3.07E-18, 0.0
+228, 2.90E-18, 2.90E-18, 0.0
+229, 2.73E-18, 2.73E-18, 0.0
+230, 2.55E-18, 2.55E-18, 0.0
+231, 2.36E-18, 2.36E-18, 0.0
+232, 2.18E-18, 2.18E-18, 0.0
+233, 2.00E-18, 2.00E-18, 0.0
+234, 1.82E-18, 1.82E-18, 0.0
+235, 1.65E-18, 1.65E-18, 0.0
+236, 1.49E-18, 1.49E-18, 0.0
+237, 1.34E-18, 1.34E-18, 0.0
+238, 1.19E-18, 1.19E-18, 0.0
+239, 1.06E-18, 1.06E-18, 0.0
+240, 9.36E-19, 9.36E-19, 0.0
+241, 8.23E-19, 8.23E-19, 0.0
+242, 7.21E-19, 7.21E-19, 0.0
+243, 6.28E-19, 6.28E-19, 0.0
+244, 5.45E-19, 5.45E-19, 0.0
+245, 4.71E-19, 4.71E-19, 0.0
+246, 4.05E-19, 4.05E-19, 0.0
+247, 3.47E-19, 3.47E-19, 0.0
+248, 2.96E-19, 2.96E-19, 0.0
+249, 2.52E-19, 2.52E-19, 0.0
+250, 2.14E-19, 2.14E-19, 0.0
+251, 1.80E-19, 1.80E-19, 0.0
+252, 1.52E-19, 1.52E-19, 0.0
+253, 1.27E-19, 1.27E-19, 0.0
+254, 1.06E-19, 1.06E-19, 0.0
+255, 8.86E-20, 8.86E-20, 0.0
+256, 7.36E-20, 7.36E-20, 0.0
+257, 6.09E-20, 6.09E-20, 0.0
+258, 5.03E-20, 5.03E-20, 0.0
+259, 4.14E-20, 4.14E-20, 0.0
+260, 3.40E-20, 3.40E-20, 0.0
+261, 2.78E-20, 2.78E-20, 0.0
+262, 2.27E-20, 2.27E-20, 0.0
+263, 1.85E-20, 1.85E-20, 0.0
+264, 1.51E-20, 1.51E-20, 0.0
+265, 1.22E-20, 1.22E-20, 0.0
+266, 9.87E-21, 9.87E-21, 0.0
+267, 7.97E-21, 7.97E-21, 0.0
+268, 6.42E-21, 6.42E-21, 0.0
+269, 5.16E-21, 5.16E-21, 0.0
+270, 4.13E-21, 4.13E-21, 0.0
+271, 3.31E-21, 3.31E-21, 0.0
+272, 2.64E-21, 2.64E-21, 0.0
+273, 2.11E-21, 2.11E-21, 0.0
+274, 1.68E-21, 1.68E-21, 0.0
+275, 1.33E-21, 1.33E-21, 0.0
+276, 1.06E-21, 1.06E-21, 0.0
+277, 8.38E-22, 8.38E-22, 0.0
+278, 6.62E-22, 6.62E-22, 0.0
+279, 5.23E-22, 5.23E-22, 0.0
+280, 4.12E-22, 4.12E-22, 0.0
+281, 3.25E-22, 3.25E-22, 0.0
+282, 2.55E-22, 2.55E-22, 0.0
+283, 2.01E-22, 2.01E-22, 0.0
+284, 1.57E-22, 1.57E-22, 0.0
+285, 1.23E-22, 1.23E-22, 0.0
+286, 9.69E-23, 9.69E-23, 0.0
+287, 7.61E-23, 7.61E-23, 0.0
+288, 5.99E-23, 5.99E-23, 0.0
+289, 4.73E-23, 4.73E-23, 0.0
+290, 3.77E-23, 3.77E-23, 0.0
+291, 3.03E-23, 3.03E-23, 0.0
+292, 2.49E-23, 2.49E-23, 0.0
+293, 2.11E-23, 2.11E-23, 0.0
+294, 1.85E-23, 1.85E-23, 0.0
+295, 1.71E-23, 1.71E-23, 0.0
+296, 1.67E-23, 1.67E-23, 0.0
+297, 1.72E-23, 1.72E-23, 0.0
+298, 1.87E-23, 1.87E-23, 0.0
+299, 2.11E-23, 2.11E-23, 0.0
\ No newline at end of file
diff --git a/thermo/photo_cross/PH2/PH2_ori.txt b/thermo/photo_cross/PH2/PH2_ori.txt
new file mode 100644
index 0000000..614b680
--- /dev/null
+++ b/thermo/photo_cross/PH2/PH2_ori.txt
@@ -0,0 +1,181 @@
+nm cm2 molecule-1 (Plane calculation)
+120 7.76E-18
+121 6.24E-18
+122 6.03E-18
+123 7.09E-18
+124 9.15E-18
+125 1.18E-17
+126 1.44E-17
+127 1.64E-17
+128 1.75E-17
+129 1.74E-17
+130 1.61E-17
+131 1.41E-17
+132 1.17E-17
+133 9.22E-18
+134 7.10E-18
+135 5.46E-18
+136 4.37E-18
+137 3.79E-18
+138 3.68E-18
+139 3.94E-18
+140 4.51E-18
+141 5.31E-18
+142 6.28E-18
+143 7.35E-18
+144 8.43E-18
+145 9.44E-18
+146 1.03E-17
+147 1.09E-17
+148 1.12E-17
+149 1.13E-17
+150 1.11E-17
+151 1.07E-17
+152 1.03E-17
+153 9.93E-18
+154 9.70E-18
+155 9.70E-18
+156 1.00E-17
+157 1.06E-17
+158 1.15E-17
+159 1.26E-17
+160 1.38E-17
+161 1.50E-17
+162 1.61E-17
+163 1.70E-17
+164 1.76E-17
+165 1.78E-17
+166 1.77E-17
+167 1.72E-17
+168 1.64E-17
+169 1.53E-17
+170 1.41E-17
+171 1.27E-17
+172 1.13E-17
+173 9.85E-18
+174 8.49E-18
+175 7.22E-18
+176 6.08E-18
+177 5.06E-18
+178 4.18E-18
+179 3.42E-18
+180 2.78E-18
+181 2.25E-18
+182 1.82E-18
+183 1.46E-18
+184 1.17E-18
+185 9.40E-19
+186 7.54E-19
+187 6.07E-19
+188 4.92E-19
+189 4.04E-19
+190 3.38E-19
+191 2.92E-19
+192 2.62E-19
+193 2.48E-19
+194 2.49E-19
+195 2.64E-19
+196 2.94E-19
+197 3.39E-19
+198 4.00E-19
+199 4.77E-19
+200 5.72E-19
+201 6.84E-19
+202 8.15E-19
+203 9.64E-19
+204 1.13E-18
+205 1.31E-18
+206 1.51E-18
+207 1.71E-18
+208 1.93E-18
+209 2.15E-18
+210 2.37E-18
+211 2.59E-18
+212 2.79E-18
+213 2.99E-18
+214 3.17E-18
+215 3.32E-18
+216 3.45E-18
+217 3.56E-18
+218 3.64E-18
+219 3.68E-18
+220 3.70E-18
+221 3.68E-18
+222 3.64E-18
+223 3.57E-18
+224 3.47E-18
+225 3.36E-18
+226 3.22E-18
+227 3.07E-18
+228 2.90E-18
+229 2.73E-18
+230 2.55E-18
+231 2.36E-18
+232 2.18E-18
+233 2.00E-18
+234 1.82E-18
+235 1.65E-18
+236 1.49E-18
+237 1.34E-18
+238 1.19E-18
+239 1.06E-18
+240 9.36E-19
+241 8.23E-19
+242 7.21E-19
+243 6.28E-19
+244 5.45E-19
+245 4.71E-19
+246 4.05E-19
+247 3.47E-19
+248 2.96E-19
+249 2.52E-19
+250 2.14E-19
+251 1.80E-19
+252 1.52E-19
+253 1.27E-19
+254 1.06E-19
+255 8.86E-20
+256 7.36E-20
+257 6.09E-20
+258 5.03E-20
+259 4.14E-20
+260 3.40E-20
+261 2.78E-20
+262 2.27E-20
+263 1.85E-20
+264 1.51E-20
+265 1.22E-20
+266 9.87E-21
+267 7.97E-21
+268 6.42E-21
+269 5.16E-21
+270 4.13E-21
+271 3.31E-21
+272 2.64E-21
+273 2.11E-21
+274 1.68E-21
+275 1.33E-21
+276 1.06E-21
+277 8.38E-22
+278 6.62E-22
+279 5.23E-22
+280 4.12E-22
+281 3.25E-22
+282 2.55E-22
+283 2.01E-22
+284 1.57E-22
+285 1.23E-22
+286 9.69E-23
+287 7.61E-23
+288 5.99E-23
+289 4.73E-23
+290 3.77E-23
+291 3.03E-23
+292 2.49E-23
+293 2.11E-23
+294 1.85E-23
+295 1.71E-23
+296 1.67E-23
+297 1.72E-23
+298 1.87E-23
+299 2.11E-23
diff --git a/thermo/photo_cross/PH3/PH3_branch.csv b/thermo/photo_cross/PH3/PH3_branch.csv
new file mode 100644
index 0000000..6a227f0
--- /dev/null
+++ b/thermo/photo_cross/PH3/PH3_branch.csv
@@ -0,0 +1,4 @@
+# Branching ratios for PH3 -> PH2 + H
+# lambda , br_ratio_1
+120.0, 1.
+230.0, 1.
\ No newline at end of file
diff --git a/thermo/photo_cross/PH3/PH3_cross.csv b/thermo/photo_cross/PH3/PH3_cross.csv
new file mode 100644
index 0000000..85accda
--- /dev/null
+++ b/thermo/photo_cross/PH3/PH3_cross.csv
@@ -0,0 +1,58 @@
+# wavelength (nm) photoabsorption photodissociation photoionisation (cm^2)
+120, 7.24e-17, 7.24e-17, 0.0
+122, 7.24e-17, 7.24e-17, 0.0
+124, 6.92e-17, 6.92e-17, 0.0
+126, 6.31e-17, 6.31e-17, 0.0
+128, 5.75e-17, 5.75e-17, 0.0
+130, 4.79e-17, 4.79e-17, 0.0
+132, 4.37e-17, 4.37e-17, 0.0
+134, 3.63e-17, 3.63e-17, 0.0
+136, 3.31e-17, 3.31e-17, 0.0
+138, 3.47e-17, 3.47e-17, 0.0
+140, 3.63e-17, 3.63e-17, 0.0
+142, 3.63e-17, 3.63e-17, 0.0
+144, 3.02e-17, 3.02e-17, 0.0
+146, 2.29e-17, 2.29e-17, 0.0
+148, 1.58e-17, 1.58e-17, 0.0
+150, 1.00e-17, 1.00e-17, 0.0
+152, 7.59e-18, 7.59e-18, 0.0
+154, 5.75e-18, 5.75e-18, 0.0
+155, 5.50e-18, 5.50e-18, 0.0
+156, 5.75e-18, 5.75e-18, 0.0
+158, 6.92e-18, 6.92e-18, 0.0
+160, 8.71e-18, 8.71e-18, 0.0
+162, 1.10e-17, 1.10e-17, 0.0
+164, 1.32e-17, 1.32e-17, 0.0
+166, 1.55e-17, 1.55e-17, 0.0
+168, 1.74e-17, 1.74e-17, 0.0
+170, 1.99e-17, 1.99e-17, 0.0
+172, 2.19e-17, 2.19e-17, 0.0
+174, 2.40e-17, 2.40e-17, 0.0
+176, 2.55e-17, 2.55e-17, 0.0
+178, 2.68e-17, 2.68e-17, 0.0
+180, 2.75e-17, 2.75e-17, 0.0
+182, 2.63e-17, 2.63e-17, 0.0
+184, 2.40e-17, 2.40e-17, 0.0
+186, 2.20e-17, 2.20e-17, 0.0
+188, 1.91e-17, 1.91e-17, 0.0
+190, 1.66e-17, 1.66e-17, 0.0
+192, 1.38e-17, 1.38e-17, 0.0
+194, 1.15e-17, 1.15e-17, 0.0
+196, 9.12e-18, 9.12e-18, 0.0
+198, 6.61e-18, 6.61e-18, 0.0
+200, 4.55e-18, 4.55e-18, 0.0
+202, 3.02e-18, 3.02e-18, 0.0
+204, 2.09e-18, 2.09e-18, 0.0
+206, 1.38e-18, 1.38e-18, 0.0
+208, 8.32e-19, 8.32e-19, 0.0
+210, 4.79e-19, 4.79e-19, 0.0
+212, 3.02e-19, 3.02e-19, 0.0
+214, 1.86e-19, 1.86e-19, 0.0
+216, 1.05e-19, 1.05e-19, 0.0
+218, 6.31e-20, 6.31e-20, 0.0
+220, 3.63e-20, 3.63e-20, 0.0
+222, 2.00e-20, 2.00e-20, 0.0
+224, 1.20e-20, 1.20e-20, 0.0
+226, 6.92e-21, 6.92e-21, 0.0
+228, 3.63e-21, 3.63e-21, 0.0
+230, 1.82e-21, 1.82e-21, 0.0
diff --git a/thermo/photo_cross/PH3/PH3_ori.txt b/thermo/photo_cross/PH3/PH3_ori.txt
new file mode 100644
index 0000000..17cb74d
--- /dev/null
+++ b/thermo/photo_cross/PH3/PH3_ori.txt
@@ -0,0 +1,37 @@
+0 References for Cross Section of PH3 PH2/H
+Cross section:
+Lambda = 1950.-2350. A
+ Kley, D., Welge, K. H. (1965)
+ Z. Naturforsch. 20a, 124
+
+0 Branching ratio for PH3 PH2/H 0 branches
+ Lambda PH2/H
+ 0.61 2.40E-22
+ 1.24 2.00E-21
+ 2.44 1.40E-20
+ 5.65 1.30E-19
+ 5.90 1.30E-20
+ 6.15 1.40E-20
+ 12.57 9.90E-20
+ 24.62 5.50E-19
+ 62.09 4.30E-18
+ 64.70 4.00E-18
+ 79.90 5.30E-18
+ 83.30 5.10E-18
+ 86.90 2.90E-18
+ 90.60 2.80E-19
+ 121.70 4.50E-19
+ 238.30 1.00E-18
+ 248.60 1.20E-18
+ 626.80 1.00E-17
+ 877.00 2.00E-17
+ 1950.00 3.25E-18
+ 2000.00 2.03E-18
+ 2050.00 4.06E-19
+ 2100.00 1.22E-19
+ 2150.00 2.84E-20
+ 2200.00 8.12E-21
+ 2250.00 2.84E-21
+ 2300.00 1.62E-21
+ 2350.00 8.12E-22
+ 3650.00 1.00E-26
\ No newline at end of file
diff --git a/thermo/photo_cross/PH3/PH3_ori_2.txt b/thermo/photo_cross/PH3/PH3_ori_2.txt
new file mode 100644
index 0000000..764ff16
--- /dev/null
+++ b/thermo/photo_cross/PH3/PH3_ori_2.txt
@@ -0,0 +1,57 @@
+120 7.24e-17
+122 7.24e-17
+124 6.92e-17
+126 6.31e-17
+128 5.75e-17
+130 4.79e-17
+132 4.37e-17
+134 3.63e-17
+136 3.31e-17
+138 3.47e-17
+140 3.63e-17
+142 3.63e-17
+144 3.02e-17
+146 2.29e-17
+148 1.58e-17
+150 1.00e-17
+152 7.59e-18
+154 5.75e-18
+155 5.50e-18
+156 5.75e-18
+158 6.92e-18
+160 8.71e-18
+162 1.10e-17
+164 1.32e-17
+166 1.55e-17
+168 1.74e-17
+170 1.99e-17
+172 2.19e-17
+174 2.40e-17
+176 2.55e-17
+178 2.68e-17
+180 2.75e-17
+182 2.63e-17
+184 2.40e-17
+186 2.20e-17
+188 1.91e-17
+190 1.66e-17
+192 1.38e-17
+194 1.15e-17
+196 9.12e-18
+198 6.61e-18
+200 4.55e-18
+202 3.02e-18
+204 2.09e-18
+206 1.38e-18
+208 8.32e-19
+210 4.79e-19
+212 3.02e-19
+214 1.86e-19
+216 1.05e-19
+218 6.31e-20
+220 3.63e-20
+222 2.00e-20
+224 1.20e-20
+226 6.92e-21
+228 3.63e-21
+230 1.82e-21
diff --git a/thermo/photo_cross/PO/PO_branch.csv b/thermo/photo_cross/PO/PO_branch.csv
new file mode 100644
index 0000000..d5b88e3
--- /dev/null
+++ b/thermo/photo_cross/PO/PO_branch.csv
@@ -0,0 +1,4 @@
+# Branching ratios for PO -> P + O
+# lambda , br_ratio_1
+100.0, 1.
+184.0, 1.
\ No newline at end of file
diff --git a/thermo/photo_cross/PO/PO_cross.csv b/thermo/photo_cross/PO/PO_cross.csv
new file mode 100644
index 0000000..ab10cad
--- /dev/null
+++ b/thermo/photo_cross/PO/PO_cross.csv
@@ -0,0 +1,86 @@
+# wavelength (nm) photoabsorption photodissociation photoionisation (cm^2)
+100, 1.66113E-30, 1.66113E-30, 0.0
+101, 4.20266E-29, 4.20266E-29, 0.0
+102, 8.21595E-28, 8.21595E-28, 0.0
+103, 1.27701E-26, 1.27701E-26, 0.0
+104, 1.59945E-25, 1.59945E-25, 0.0
+105, 1.63258E-24, 1.63258E-24, 0.0
+106, 1.37256E-23, 1.37256E-23, 0.0
+107, 9.60066E-23, 9.60066E-23, 0.0
+108, 5.64001E-22, 5.64001E-22, 0.0
+109, 2.80747E-21, 2.80747E-21, 0.0
+110, 1.19404E-20, 1.19404E-20, 0.0
+111, 4.37301E-20, 4.37301E-20, 0.0
+112, 1.38928E-19, 1.38928E-19, 0.0
+113, 3.8552E-19, 3.8552E-19, 0.0
+114, 9.4056E-19, 9.4056E-19, 0.0
+115, 2.03002E-18, 2.03002E-18, 0.0
+116, 3.89908E-18, 3.89908E-18, 0.0
+117, 6.70305E-18, 6.70305E-18, 0.0
+118, 1.03729E-17, 1.03729E-17, 0.0
+119, 1.45332E-17, 1.45332E-17, 0.0
+120, 1.85493E-17, 1.85493E-17, 0.0
+121, 2.17166E-17, 2.17166E-17, 0.0
+122, 2.35119E-17, 2.35119E-17, 0.0
+123, 2.37778E-17, 2.37778E-17, 0.0
+124, 2.27439E-17, 2.27439E-17, 0.0
+125, 2.08859E-17, 2.08859E-17, 0.0
+126, 1.87123E-17, 1.87123E-17, 0.0
+127, 1.65884E-17, 1.65884E-17, 0.0
+128, 1.46702E-17, 1.46702E-17, 0.0
+129, 1.2943E-17, 1.2943E-17, 0.0
+130, 1.13151E-17, 1.13151E-17, 0.0
+131, 9.7074E-18, 9.7074E-18, 0.0
+132, 8.1007E-18, 8.1007E-18, 0.0
+133, 6.53785E-18, 6.53785E-18, 0.0
+134, 5.09628E-18, 5.09628E-18, 0.0
+135, 3.85375E-18, 3.85375E-18, 0.0
+136, 2.86286E-18, 2.86286E-18, 0.0
+137, 2.14037E-18, 2.14037E-18, 0.0
+138, 1.6691E-18, 1.6691E-18, 0.0
+139, 1.4072E-18, 1.4072E-18, 0.0
+140, 1.29967E-18, 1.29967E-18, 0.0
+141, 1.28883E-18, 1.28883E-18, 0.0
+142, 1.32243E-18, 1.32243E-18, 0.0
+143, 1.35919E-18, 1.35919E-18, 0.0
+144, 1.37171E-18, 1.37171E-18, 0.0
+145, 1.34733E-18, 1.34733E-18, 0.0
+146, 1.28701E-18, 1.28701E-18, 0.0
+147, 1.20287E-18, 1.20287E-18, 0.0
+148, 1.11487E-18, 1.11487E-18, 0.0
+149, 1.04717E-18, 1.04717E-18, 0.0
+150, 1.02465E-18, 1.02465E-18, 0.0
+151, 1.06982E-18, 1.06982E-18, 0.0
+152, 1.20003E-18, 1.20003E-18, 0.0
+153, 1.4253E-18, 1.4253E-18, 0.0
+154, 1.74649E-18, 1.74649E-18, 0.0
+155, 2.15431E-18, 2.15431E-18, 0.0
+156, 2.62924E-18, 2.62924E-18, 0.0
+157, 3.14274E-18, 3.14274E-18, 0.0
+158, 3.6597E-18, 3.6597E-18, 0.0
+159, 4.14204E-18, 4.14204E-18, 0.0
+160, 4.55293E-18, 4.55293E-18, 0.0
+161, 4.86099E-18, 4.86099E-18, 0.0
+162, 5.04377E-18, 5.04377E-18, 0.0
+163, 5.09007E-18, 5.09007E-18, 0.0
+164, 5.0005E-18, 5.0005E-18, 0.0
+165, 4.78665E-18, 4.78665E-18, 0.0
+166, 4.46884E-18, 4.46884E-18, 0.0
+167, 4.0731E-18, 4.0731E-18, 0.0
+168, 3.62785E-18, 3.62785E-18, 0.0
+169, 3.16087E-18, 3.16087E-18, 0.0
+170, 2.69685E-18, 2.69685E-18, 0.0
+171, 2.25573E-18, 2.25573E-18, 0.0
+172, 1.85199E-18, 1.85199E-18, 0.0
+173, 1.49459E-18, 1.49459E-18, 0.0
+174, 1.18758E-18, 1.18758E-18, 0.0
+175, 9.31032E-19, 9.31032E-19, 0.0
+176, 7.22085E-19, 7.22085E-19, 0.0
+177, 5.56056E-19, 5.56056E-19, 0.0
+178, 4.27367E-19, 4.27367E-19, 0.0
+179, 3.30306E-19, 3.30306E-19, 0.0
+180, 2.59574E-19, 2.59574E-19, 0.0
+181, 2.1064E-19, 2.1064E-19, 0.0
+182, 1.79919E-19, 1.79919E-19, 0.0
+183, 1.6483E-19, 1.6483E-19, 0.0
+184, 1.63753E-19, 1.63753E-19, 0.0
\ No newline at end of file
diff --git a/thermo/photo_cross/PO/PO_ori.txt b/thermo/photo_cross/PO/PO_ori.txt
new file mode 100644
index 0000000..d6ed763
--- /dev/null
+++ b/thermo/photo_cross/PO/PO_ori.txt
@@ -0,0 +1,86 @@
+nm cm2 molecule-1 (Plane calculation)
+100 1.66113E-30
+101 4.20266E-29
+102 8.21595E-28
+103 1.27701E-26
+104 1.59945E-25
+105 1.63258E-24
+106 1.37256E-23
+107 9.60066E-23
+108 5.64001E-22
+109 2.80747E-21
+110 1.19404E-20
+111 4.37301E-20
+112 1.38928E-19
+113 3.8552E-19
+114 9.4056E-19
+115 2.03002E-18
+116 3.89908E-18
+117 6.70305E-18
+118 1.03729E-17
+119 1.45332E-17
+120 1.85493E-17
+121 2.17166E-17
+122 2.35119E-17
+123 2.37778E-17
+124 2.27439E-17
+125 2.08859E-17
+126 1.87123E-17
+127 1.65884E-17
+128 1.46702E-17
+129 1.2943E-17
+130 1.13151E-17
+131 9.7074E-18
+132 8.1007E-18
+133 6.53785E-18
+134 5.09628E-18
+135 3.85375E-18
+136 2.86286E-18
+137 2.14037E-18
+138 1.6691E-18
+139 1.4072E-18
+140 1.29967E-18
+141 1.28883E-18
+142 1.32243E-18
+143 1.35919E-18
+144 1.37171E-18
+145 1.34733E-18
+146 1.28701E-18
+147 1.20287E-18
+148 1.11487E-18
+149 1.04717E-18
+150 1.02465E-18
+151 1.06982E-18
+152 1.20003E-18
+153 1.4253E-18
+154 1.74649E-18
+155 2.15431E-18
+156 2.62924E-18
+157 3.14274E-18
+158 3.6597E-18
+159 4.14204E-18
+160 4.55293E-18
+161 4.86099E-18
+162 5.04377E-18
+163 5.09007E-18
+164 5.0005E-18
+165 4.78665E-18
+166 4.46884E-18
+167 4.0731E-18
+168 3.62785E-18
+169 3.16087E-18
+170 2.69685E-18
+171 2.25573E-18
+172 1.85199E-18
+173 1.49459E-18
+174 1.18758E-18
+175 9.31032E-19
+176 7.22085E-19
+177 5.56056E-19
+178 4.27367E-19
+179 3.30306E-19
+180 2.59574E-19
+181 2.1064E-19
+182 1.79919E-19
+183 1.6483E-19
+184 1.63753E-19
diff --git a/thermo/photo_cross/PO2/PO2_branch.csv b/thermo/photo_cross/PO2/PO2_branch.csv
new file mode 100644
index 0000000..321d1d2
--- /dev/null
+++ b/thermo/photo_cross/PO2/PO2_branch.csv
@@ -0,0 +1,4 @@
+# Branching ratios for PO2 -> PO + O #(Plane calculation)
+# lambda , br_ratio_1
+120.0, 1.
+235.0, 1.
diff --git a/thermo/photo_cross/PO2/PO2_cross.csv b/thermo/photo_cross/PO2/PO2_cross.csv
new file mode 100644
index 0000000..3c0b555
--- /dev/null
+++ b/thermo/photo_cross/PO2/PO2_cross.csv
@@ -0,0 +1,281 @@
+# wavelength (nm) photoabsorption photodissociation photoionisation (Plane calculation)
+120, 6.0267E-19, 6.0267E-19, 0.0
+121, 1.06784E-18, 1.06784E-18, 0.0
+122, 1.80142E-18, 1.80142E-18, 0.0
+123, 2.89981E-18, 2.89981E-18, 0.0
+124, 4.45192E-18, 4.45192E-18, 0.0
+125, 6.50503E-18, 6.50503E-18, 0.0
+126, 9.02395E-18, 9.02395E-18, 0.0
+127, 1.18602E-17, 1.18602E-17, 0.0
+128, 1.47501E-17, 1.47501E-17, 0.0
+129, 1.73535E-17, 1.73535E-17, 0.0
+130, 1.93262E-17, 1.93262E-17, 0.0
+131, 2.04048E-17, 2.04048E-17, 0.0
+132, 2.04718E-17, 2.04718E-17, 0.0
+133, 1.95785E-17, 1.95785E-17, 0.0
+134, 1.79212E-17, 1.79212E-17, 0.0
+135, 1.57823E-17, 1.57823E-17, 0.0
+136, 1.3461E-17, 1.3461E-17, 0.0
+137, 1.12166E-17, 1.12166E-17, 0.0
+138, 9.23564E-18, 9.23564E-18, 0.0
+139, 7.62447E-18, 7.62447E-18, 0.0
+140, 6.41934E-18, 6.41934E-18, 0.0
+141, 5.60458E-18, 5.60458E-18, 0.0
+142, 5.13062E-18, 5.13062E-18, 0.0
+143, 4.92858E-18, 4.92858E-18, 0.0
+144, 4.92092E-18, 4.92092E-18, 0.0
+145, 5.02957E-18, 5.02957E-18, 0.0
+146, 5.18284E-18, 5.18284E-18, 0.0
+147, 5.32141E-18, 5.32141E-18, 0.0
+148, 5.40306E-18, 5.40306E-18, 0.0
+149, 5.4051E-18, 5.4051E-18, 0.0
+150, 5.32401E-18, 5.32401E-18, 0.0
+151, 5.17232E-18, 5.17232E-18, 0.0
+152, 4.97331E-18, 4.97331E-18, 0.0
+153, 4.75497E-18, 4.75497E-18, 0.0
+154, 4.54434E-18, 4.54434E-18, 0.0
+155, 4.36325E-18, 4.36325E-18, 0.0
+156, 4.2261E-18, 4.2261E-18, 0.0
+157, 4.13958E-18, 4.13958E-18, 0.0
+158, 4.10378E-18, 4.10378E-18, 0.0
+159, 4.11406E-18, 4.11406E-18, 0.0
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diff --git a/thermo/photo_cross/PO2/PO2_ori.txt b/thermo/photo_cross/PO2/PO2_ori.txt
new file mode 100644
index 0000000..d66aadf
--- /dev/null
+++ b/thermo/photo_cross/PO2/PO2_ori.txt
@@ -0,0 +1,281 @@
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+322 2.45379E-19
+323 2.2707E-19
+324 2.10065E-19
+325 1.94275E-19
+326 1.79622E-19
+327 1.66028E-19
+328 1.53421E-19
+329 1.41733E-19
+330 1.309E-19
+331 1.20863E-19
+332 1.11566E-19
+333 1.02956E-19
+334 9.4985E-20
+335 8.76073E-20
+336 8.07803E-20
+337 7.44644E-20
+338 6.86229E-20
+339 6.32215E-20
+340 5.82282E-20
+341 5.36134E-20
+342 4.93496E-20
+343 4.54111E-20
+344 4.17742E-20
+345 3.84168E-20
+346 3.53183E-20
+347 3.24597E-20
+348 2.98234E-20
+349 2.73929E-20
+350 2.5153E-20
+351 2.30896E-20
+352 2.11896E-20
+353 1.94409E-20
+354 1.78323E-20
+355 1.63532E-20
+356 1.49941E-20
+357 1.3746E-20
+358 1.26006E-20
+359 1.15503E-20
+360 1.05881E-20
+361 9.70733E-21
+362 8.90206E-21
+363 8.16672E-21
+364 7.49619E-21
+365 6.88577E-21
+366 6.33113E-21
+367 5.82831E-21
+368 5.37369E-21
+369 4.96394E-21
+370 4.59604E-21
+371 4.26723E-21
+372 3.97502E-21
+373 3.71715E-21
+374 3.49159E-21
+375 3.29651E-21
+376 3.13028E-21
+377 2.99145E-21
+378 2.87875E-21
+379 2.79106E-21
+380 2.72742E-21
+381 2.687E-21
+382 2.66912E-21
+383 2.67319E-21
+384 2.69877E-21
+385 2.74551E-21
+386 2.81316E-21
+387 2.90156E-21
+388 3.01063E-21
+389 3.14041E-21
+390 3.29096E-21
+391 3.46244E-21
+392 3.65506E-21
+393 3.86911E-21
+394 4.1049E-21
+395 4.36281E-21
+396 4.64326E-21
+397 4.9467E-21
+398 5.27363E-21
+399 5.62456E-21
diff --git a/thermo/photo_cross/thresholds.txt b/thermo/photo_cross/thresholds.txt
index ec86bd2..6d53a08 100644
--- a/thermo/photo_cross/thresholds.txt
+++ b/thermo/photo_cross/thresholds.txt
@@ -47,7 +47,7 @@ Na 2.412100e+02
K 2.850000e+02
Ca 2.027670e+02
Fe 1.585134e+02
-Mg 1.624881e+02
+Mg 1.624881e+02
Al 2.071213e+02
H_m 9.000000e+02
CS 1.585000e+02
@@ -63,4 +63,15 @@ TiO 1.550000e+02
TiO2 1.550000e+02
TiH 6.450000e+02
TiC 2.350000e+02
-VO 1.600000e+02
\ No newline at end of file
+VO 1.600000e+02
+PH 189.9
+PH3 230.0
+HOPO 325.4
+HPO2 359.2
+HOPO2 271.2
+P2 247.0
+P2H2 338.0
+P2H4 508.0
+PH2 299.0
+PO 184.0
+PO2 235.0
diff --git a/vulcan_cfg.py b/vulcan_cfg.py
index f0a3ebb..8a875d0 100644
--- a/vulcan_cfg.py
+++ b/vulcan_cfg.py
@@ -6,13 +6,14 @@
atom_list = ['H', 'O', 'C', 'N']
# ====== Setting up paths and filenames for the input and output files ======
# input:
+#network = 'thermo/SNCHO_photo_network.txt'
network = 'thermo/NCHO_photo_network.txt'
use_lowT_limit_rates = False
gibbs_text = 'thermo/gibbs_text.txt' # (all the nasa9 files must be placed in the folder: thermo/NASA9/)
cross_folder = 'thermo/photo_cross/'
com_file = 'thermo/all_compose.txt'
-atm_file = 'atm/atm_HD189_Kzz.txt' # TP and Kzz (optional) file
-sflux_file = 'atm/stellar_flux/sflux-HD189_Moses11.txt' # sflux-HD189_B2020.txt This is the flux density at the stellar surface
+atm_file = 'atm/atm_GJ1214b_Kzz_aer.txt' # TP and Kzz (optional) file
+sflux_file = 'atm/stellar_flux/sflux-GJ1214.txt' # This is the flux density at the stellar surface
top_BC_flux_file = 'atm/BC_top.txt' # the file for the top boundary conditions
bot_BC_flux_file = 'atm/BC_bot.txt' # the file for the lower boundary conditions
vul_ini = 'output/HD189-nominal.vul' # the file to initialize the abundances for ini_mix = 'vulcan_ini'
@@ -20,18 +21,18 @@
output_dir = 'output/'
plot_dir = 'plot/'
movie_dir = 'plot/movie/'
-out_name = 'HD189.vul' # output file name
+out_name = 'GJ1214b_w_aer_w_mc.vul' # output file name
# ====== Setting up the elemental abundance ======
use_solar = False # True: using the solar abundance from Table 10. K.Lodders 2009; False: using the customized elemental abundance.
# customized elemental abundance (only read when use_solar = False)
-O_H = 6.0618E-4 #*(0.793)
-C_H = 2.7761E-4
-N_H = 8.1853E-5
-S_H = 1.3183E-5
-He_H = 0.09692
+O_H = 4.8978E-4 * 1.0
+C_H = 2.8840E-4 * 1.0
+N_H = 6.7608E-5 * 1.0
+#S_H = 1.3183E-5 * 1.0
+He_H = 0.0820 * 1.0
ini_mix = 'EQ' # Options: 'EQ', 'const_mix', 'vulcan_ini', 'table' (for 'vulcan_ini, the T-P grids have to be exactly the same)
-fastchem_met_scale = 0.1 # scaling factor for other elements in fastchem (e.g., if fastchem_met_scale = 0.1, other elements such as Si and Mg will take 0.1 solar values)
+fastchem_met_scale = 1.0 # scaling factor for other elements in fastchem (e.g., if fastchem_met_scale = 0.1, other elements such as Si and Mg will take 0.1 solar values)
# Initialsing uniform (constant with pressure) mixing ratios (only reads when ini_mix = const_mix)
const_mix = {'CH4':2.7761E-4*2, 'O2':4.807e-4, 'He':0.09691, 'N2':8.1853E-5, 'H2':1. -2.7761E-4*2*4/2}
@@ -39,14 +40,17 @@
# ====== Setting up photochemistry ======
use_photo = True
# astronomy input
-r_star = 0.805 # stellar radius in solar radius
-Rp = 1.138*7.1492E9 # Planetary radius (cm) (for computing gravity)
-orbit_radius = 0.03142 # planet-star distance in A.U.
+r_star = 0.216 # stellar radius in solar radius
+Rp = 0.24463*7.1492E9 # Planetary radius (cm) (for computing gravity)
+orbit_radius = 0.01411 # planet-star distance in A.U.
sl_angle = 48 /180.*3.14159 # the zenith angle of the star in degree (usually 58 deg for the dayside average)
f_diurnal = 1. # to account for the diurnal average of solar flux (i.e. 0.5 for Earth; 1 for tidally-locked planets)
scat_sp = ['H2', 'He'] # the bulk gases that contribute to Rayleigh scattering
T_cross_sp = [] # warning: slower start! available atm: 'CO2','H2O','NH3', 'SH','H2S','SO2', 'S2', 'COS', 'CS2'
+use_gCMCRT = True # Use Monte Carlo module for irradiation
+Nph = 2000 # Number of Monte Carlo photon packets
+
edd = 0.5 # the Eddington coefficient
dbin1 = 0.1 # the uniform bin width < dbin_12trans (nm)
dbin2 = 2. # the uniform bin width > dbin_12trans (nm)
@@ -67,8 +71,8 @@
atm_base = 'H2' #Options: 'H2', 'N2', 'O2', 'CO2 -- the bulk gas of the atmosphere: changes the molecular diffsion, thermal diffusion factor, and settling velocity
rocky = False # for the surface gravity
nz = 150 # number of vertical layers
-P_b = 1e9 # pressure at the bottom (dyne/cm^2)
-P_t = 1e-2 # pressure at the top (dyne/cm^2)
+P_b = 1e8 # pressure at the bottom (dyne/cm^2)
+P_t = 1e-3 # pressure at the top (dyne/cm^2)
use_Kzz = True
use_moldiff = True
use_vz = False
@@ -77,7 +81,7 @@
K_max = 1e5 # for Kzz_prof = 'Pfunc'
K_p_lev = 0.1 # for Kzz_prof = 'Pfunc'
vz_prof = 'const' # Options: 'const' or 'file'
-gs = 2140. # surface gravity (cm/s^2) (HD189:2140 HD209:936)
+gs = 1065. # surface gravity (cm/s^2) (HD189:2140 HD209:936)
Tiso = 1000 # only read when atm_type = 'isothermal'
# setting the parameters for the analytical T-P from (126)in Heng et al. 2014. Only reads when atm_type = 'analytical'
# T_int, T_irr, ka_L, ka_S, beta_S, beta_L
@@ -89,6 +93,15 @@
# frequency for updating dz and dzi due to change of mu
update_frq = 100
+# ==== Aerosol opacity parameters ====
+use_aer = True # Include aerosol opacity calculation in VULCAN
+aer_sp = 'Soot_Lavvas' # Aerosol species
+idist = 1 # Choice of size distribution
+ndist = 21 # Number of points for size distribution integration
+r_min = 1e-3 # Minimum radius of size distribution [um]
+r_max = 10.0 # Maximum radius of size distribution [um]
+
+
# ====== Setting up the boundary conditions ======
# Boundary Conditions:
use_topflux = False
@@ -126,15 +139,15 @@
dt_var_max = 2.
dt_var_min = 0.5
count_min = 120
-count_max = int(3E4)
+count_max = int(1E6)
atol = 1.E-1 # Try decreasing this if the solutions are not stable
mtol = 1.E-22
mtol_conv = 1.E-20
pos_cut = 0
nega_cut = -1.
loss_eps = 1e-1
-yconv_cri = 0.01 # for checking steady-state
-slope_cri = 1.e-4
+yconv_cri = 0.1 # for checking steady-state
+slope_cri = 1.e-3
yconv_min = 0.1
flux_cri = 0.1
flux_atol = 1. # the tol for actinc flux (# photons cm-2 s-1 nm-1)
@@ -147,7 +160,7 @@
# ====== Setting up for ouwtput and plotting ======
# plotting:
plot_TP = False
-use_live_plot = True
+use_live_plot = False
use_live_flux = False
use_plot_end = False
use_plot_evo = False
@@ -158,7 +171,7 @@
live_plot_frq = 10
save_movie_rate = live_plot_frq
y_time_freq = 1 # storing data for every 'y_time_freq' step
-plot_spec = ['H2O', 'H', 'CH4', 'CO', 'CO2', 'C2H2', 'HCN', 'NH3' ]
+plot_spec = ['H2O', 'H', 'CH4', 'CO', 'CO2', 'C2H2', 'HCN', 'NH3', 'OH']
# output:
output_humanread = False
use_shark = False