Xarray/seabed (#134)

* Ariza conversion and initial version of ariza_interactive

* Added xarray mask transformations

* Added experimental secondary thressholding support

* Added shoal demasking option for ariza (they show up as "spikes" in the mask)

* Stash

* Functional blackwell

* Functional blackwell

* For merge reasons

* Blackwell can now take custom percentile values

* Implemented modified Blackwell

* Fixed requirements.txt

echopype/mask/api.py

@@ -561,10 +561,9 @@ def get_seabed_mask(
         a Dataset. This input must correspond to a Dataset that has the
         coordinate ``channel`` and variables ``frequency_nominal`` and ``Sv``.
     desired_channel: str - channel to generate the mask for
-    desired_freuency: int - desired frequency, in case the channel isn't directly specified
-    method: str with either "ariza", "experimental", "blackwell_mod",
-                                "blackwell", "deltaSv", "maxSv"
-                                based on the preferred method for seabed mask generation
+    desired_frequency: int - desired frequency, in case the channel isn't directly specified
+    method: str with either "ariza", "blackwell", based on the preferred method
+        for seabed mask generation
     Returns
     -------
     xr.DataArray
@@ -574,8 +573,7 @@ def get_seabed_mask(
     Raises
     ------
     ValueError
-        If neither "ariza", "experimental", "blackwell_mod",
-        "blackwell", "deltaSv", "maxSv" are given
+        If neither "ariza", "blackwell" are given
 
     Notes
     -----
@@ -588,11 +586,7 @@ def get_seabed_mask(
     source_Sv = get_dataset(source_Sv)
     mask_map = {
         "ariza": seabed._ariza,
-        "experimental": seabed._experimental,
         "blackwell": seabed._blackwell,
-        "blackwell_mod": seabed._blackwell_mod,
-        "delta_Sv": seabed._deltaSv,
-        "max_Sv": seabed._maxSv,
     }
 
     if method not in mask_map.keys():
@@ -621,9 +615,8 @@ def get_seabed_mask_multichannel(
         else it specifies the path to a zarr or netcdf file containing
         a Dataset. This input must correspond to a Dataset that has the
         coordinate ``channel`` and variables ``frequency_nominal`` and ``Sv``.
-    method: str with either "ariza", "experimental", "blackwell_mod",
-                                "blackwell", "deltaSv", "maxSv"
-                                based on the preferred method for seabed mask generation
+    method: str with either "ariza", "blackwell"
+             based on the preferred method for seabed mask generation
     Returns
     -------
     xr.DataArray
@@ -633,8 +626,7 @@ def get_seabed_mask_multichannel(
     Raises
     ------
     ValueError
-        If neither "ariza", "experimental", "blackwell_mod",
-        "blackwell", "deltaSv", "maxSv" are given
+        If neither "ariza" or "blackwell" are given
 
     Notes
     -----