From 4cba9ed63da5552114a821dfb040283c63cc97aa Mon Sep 17 00:00:00 2001 From: Oliver Beckstein Date: Wed, 4 Sep 2024 07:14:07 -0700 Subject: [PATCH] fixed one remaining wrong date in CHANGES (#391) - fix #388 - corrected remaining wrong date to be MM/DD/YYYY format - make format clearer in top message - reformatting (line length, spaces) --- CHANGES | 153 ++++++++++++++++++++++++++++++-------------------------- 1 file changed, 81 insertions(+), 72 deletions(-) diff --git a/CHANGES b/CHANGES index 521cd3d2..993ac8d8 100644 --- a/CHANGES +++ b/CHANGES @@ -7,18 +7,17 @@ The rules for this file: * entries are sorted newest-first. * summarize sets of changes - don't reproduce every git log comment here. * don't ever delete anything. - * keep the format consistent (79 char width, M/D/Y date format) and do not - use tabs but use spaces for formatting + * keep the format consistent (79 char width, MM/DD/YYYY date format) and do + not use tabs but use spaces for formatting * accompany each entry with github issue/PR number (Issue #xyz) * release numbers follow "Semantic Versioning" https://semver.org ------------------------------------------------------------------------------ - 08/24/2024 xiki-tempula * 2.3.2 -Changes: +Changes - Remove Python 3.9 support (issue #389, PR #390). Enhancements @@ -29,7 +28,7 @@ Enhancements * 2.3.1 -Changes: +Changes - alchemlyb adopts SPEC 0 (replaces NEP 29) https://scientific-python.org/specs/spec-0000/ @@ -43,14 +42,18 @@ Fixes Changes - Default value for keyword argument `initial_nk` of the MBAR estimator was - changed to "BAR" (run an initial BAR calculation before MBAR) instead of - `None` (start from all zeros) as this change provides a sizable speedup (PR #357) + changed to "BAR" (run an initial BAR calculation before MBAR) instead of + `None` (start from all zeros) as this change provides a sizable speedup (PR + #357) Enhancements - - `forward_backward_convergence` uses the bootstrap error when the statistical error - is too large. (PR #358) + + - `forward_backward_convergence` uses the bootstrap error when the + statistical error is too large. (PR #358) - `BAR` result is used as initial guess for `MBAR` estimator. (PR #357) - - `forward_backward_convergence` uses the result from the previous step as the initial guess for the next step. (PR #357) + - `forward_backward_convergence` uses the result from the previous step as + the initial guess for the next step. (PR #357) + 04/06/2024 hl2500, xiki-tempula @@ -58,8 +61,10 @@ Enhancements Changes - Require pandas >= 2.1 (PR #340) - - For pandas>=2.1, metadata will be loaded from the parquet file (issue #331, PR #340). - - add support for Python 3.12, remove Python 3.8 support (issue #341, PR #304). + - For pandas>=2.1, metadata will be loaded from the parquet file (issue #331, + PR #340). + - add support for Python 3.12, remove Python 3.8 support (issue #341, PR + #304). Enhancements - Add a TI estimator using gaussian quadrature to calculate the free energy. @@ -70,8 +75,8 @@ Enhancements doesn't have the same length (issue #337, PR #338) Fixes - - data_fraction column in workflow.convergence won't be affected by the - unit conversion (issue #350, PR#319). + - data_fraction column in workflow.convergence won't be affected by the unit + conversion (issue #350, PR#319). 06/22/2023 xiki-tempula @@ -81,15 +86,18 @@ Fixes Changes - ValueError raised if concatenated amber output file is passed to amber parser (issue #315, PR #326). - - Change the % based string formatting to {} based string formatting (issue #323, PR #324). + - Change the % based string formatting to {} based string formatting (issue + #323, PR #324). - Use loguru instead of logging for log (issue #301, PR #303). Enhancements - - "Statistical inefficiency" is logged at debug level for equilibrium_detection - and statistical_inefficiency (issue #295, PR#325). - - Add a parser to read serialised pandas dataframe (parquet) (issue #316, PR#317). + - "Statistical inefficiency" is logged at debug level for + equilibrium_detection and statistical_inefficiency (issue #295, PR#325). + - Add a parser to read serialised pandas dataframe (parquet) (issue #316, + PR#317). - workflow.ABFE allow parquet as input (issue #316, PR#317). - - Allow MBAR estimator to use bootstrap to compute error (issue #320, PR#322). + - Allow MBAR estimator to use bootstrap to compute error (issue #320, + PR#322). Fixes - Fix the case where visualisation.plot_convergence would fail when the final @@ -105,9 +113,9 @@ DeprecationWarning * 2.0.1 Fixes - - Fix the dE method in u_nk2series to use the difference between two - lambda columns instead of using the next lambda column or the previous - column for the last window (issue #299, PR #300). + - Fix the dE method in u_nk2series to use the difference between two lambda + columns instead of using the next lambda column or the previous column for + the last window (issue #299, PR #300). - work around hanging tests on Mac M1 by using Path.glob instead of glob.glob in ABFE workflow (issue #309, PR #310). @@ -117,8 +125,8 @@ Fixes * 2.0.0 Changes - - use pymbar 4 as backend; this release is incompatible with - pymbar 3.x (issue #207, PR #268, discussion #205). + - use pymbar 4 as backend; this release is incompatible with pymbar 3.x + (issue #207, PR #268, discussion #205). - The default for keyword argument `method` in estimators.MBAR was changed from "hybr" to "robust" (issue #207, PR #268). @@ -132,20 +140,20 @@ Removals equivalent functionality. (issue #284) -09/12/2022 DrDomenicoMarson, xiki-tempula, orbeckst +12/09/2022 DrDomenicoMarson, xiki-tempula, orbeckst * 1.0.1 Fixes - - make workflow.ABFE handle 0 as input to forwrev instead of crashing - (issue #276, PR #282). + - make workflow.ABFE handle 0 as input to forwrev instead of crashing (issue + #276, PR #282). - Remove most of the iloc in the tests (issue #202, PR #254). - - AMBER parser now raises ValueError when the initial simulation time - is not found (issue #272, PR #273). + - AMBER parser now raises ValueError when the initial simulation time is not + found (issue #272, PR #273). - The regex in the AMBER parser now reads also 'field=value' pairs where there are no spaces around the equal sign (issue #272, PR #273). - - Pre-processing function slicing will not drop NaN rows (issue - #274, PR #275). + - Pre-processing function slicing will not drop NaN rows (issue #274, PR + #275). Deprecations - deprecate AutoMBAR for removal in 2.0 because pymbar 4 already contains @@ -153,11 +161,11 @@ Deprecations Internal Enhancements (do not affect API) - Blackfy the codebase (PR #280). - - Refactor the test to make all the parsing done at conftest level - (issue #206, PR #278). + - Refactor the test to make all the parsing done at conftest level (issue + #206, PR #278). -10/31/2022 orbeckst, xiki-tempula, DrDomenicoMarson +10/31/2022 orbeckst, xiki-tempula, DrDomenicoMarson * 1.0.0 @@ -217,15 +225,15 @@ Fixes * 0.7.0 Changes - - Deployment to PyPI is now done automatically using github actions - (Issue #193) - - gmx parser now defaults to dropping NaN and corrupted lines (filter=True) + - Deployment to PyPI is now done automatically using github actions (Issue + #193) + - gmx parser now defaults to dropping NaN and corrupted lines (filter=True) (#171, PR #183) - remove broken .zip support from util.anyopen() (PR #197) Enhancements - - Add filter function to gmx.extract to make it more robust (PR #183): can filter - incomplete/corrupted lines (#126, #171) with filter=True. + - Add filter function to gmx.extract to make it more robust (PR #183): can + filter incomplete/corrupted lines (#126, #171) with filter=True. - Add support to util.anyopen() for taking filelike objects (PR #197) Fixes @@ -248,15 +256,15 @@ Enhancements Various malformations of input files are detected, where lambdas do not monotonically increase or decrease, or are inconsistent or missing. - Convenience function for decorrelating u_nk and dHdl (PR #163). - - Time convergence function forward_backward_convergence - introduced and plot_convergence now takes dataframe from - forward_backward_convergence as input (PR #168). + - Time convergence function forward_backward_convergence introduced and + plot_convergence now takes dataframe from forward_backward_convergence as + input (PR #168). - Automatic MBAR solver with fall back (issue #170, PR #172) Fixes - Subsampling now works with bounds and step (PR #167, issue #166). - - AMBER parser logger now always logs to alchemlyb.parsers.Amber - instead of the root logger (PR #173) + - AMBER parser logger now always logs to alchemlyb.parsers.Amber instead of + the root logger (PR #173) - updated deprecated pandas aggregation, now using groupby(level).agg (#175) @@ -269,10 +277,12 @@ Changes (not affecting code) #159, issue #160, PR #161) Fixes - - MBAR estimator now correctly passes max_iterations to pymbar.MBAR. (PR #162) + - MBAR estimator now correctly passes max_iterations to pymbar.MBAR. (PR + #162) - docs (PR #157) - - visualisation.df_state.plot_dF_state() now correctly raises ValueError instead - of NameError when incorrect orientation keyword argument is supplied + - visualisation.df_state.plot_dF_state() now correctly raises ValueError + instead of NameError when incorrect orientation keyword argument is + supplied 08/01/2021 xiki-tempula, orbeckst @@ -281,22 +291,20 @@ Fixes Changes - alchemlyb adopts NEP29 - https://numpy.org/neps/nep-0029-deprecation_policy.html - to effectively only support the last 2-3 minor Python versions - - Removed support for Python 2.7 and 3.6 (issue #130, #140): - supported/tested Python versions are 3.7, 3.8, 3.9 on - Linux, macOS, and Windows + https://numpy.org/neps/nep-0029-deprecation_policy.html to effectively only + support the last 2-3 minor Python versions + - Removed support for Python 2.7 and 3.6 (issue #130, #140): supported/tested + Python versions are 3.7, 3.8, 3.9 on Linux, macOS, and Windows - The scipy constant for gas constant is used for parsers instead of the - constants used by the corresponding MD engine (issue #125, PR #129). - This leads to small changes in results from GROMACS simulations in kT - compared to the previous releases, with a relative difference on the order - of 1e-7. - - Added unit-awareness: the base unit remains kT but dataframes need to - carry the unit and temperature in a DataFrame.attrs so that dataframes - can be easily converted to different energy units (issue #125) + constants used by the corresponding MD engine (issue #125, PR #129). This + leads to small changes in results from GROMACS simulations in kT compared + to the previous releases, with a relative difference on the order of 1e-7. + - Added unit-awareness: the base unit remains kT but dataframes need to carry + the unit and temperature in a DataFrame.attrs so that dataframes can be + easily converted to different energy units (issue #125) - The parser outputs dataframe with metadata (issue #125, PR #129). - - Visualisation module will change the data according to input unit - (issue #125, PR #129). + - Visualisation module will change the data according to input unit (issue + #125, PR #129). - Bump the minimum pandas version to 1.2 (issue #130, #140). Enhancements @@ -341,11 +349,11 @@ Changes * 0.4.0 Enhancements - - Allow the dhdl from TI estimator to be separated for multiple lambda - (PR #121). + - Allow the dhdl from TI estimator to be separated for multiple lambda (PR + #121). - Allow the convergence to be plotted. (PR #121) - - Allow automatic sorting and duplication removal during subsampling - (issue #118, PR #119). + - Allow automatic sorting and duplication removal during subsampling (issue + #118, PR #119). - Allow statistical_inefficiency to work on multiindex series. (issue #116, PR #117) - Allow the overlap matrix of the MBAR estimator to be plotted. (issue #73, @@ -372,8 +380,9 @@ Enhancements Deprecations Fixes - - added explicit `return_theta=True` for call to pymbar.MBAR.getFreeEnergyDifferences, - as this was happening prior to changes in `pymbar` without the explicit call + - added explicit `return_theta=True` for call to + pymbar.MBAR.getFreeEnergyDifferences, as this was happening prior to + changes in `pymbar` without the explicit call Changes @@ -411,8 +420,8 @@ Changes First release Features: - - - Parsers for GROMACS, including reduced potentials and gradients. - - Subsampler functions for slicing, statitistical inefficiency, equilibration detection. - - Minimally functional estimators for MBAR, TI. - - high test coverage (works with data in alchemistry/alchemtests) + - Parsers for GROMACS, including reduced potentials and gradients. + - Subsampler functions for slicing, statitistical inefficiency, equilibration + detection. + - Minimally functional estimators for MBAR, TI. + - high test coverage (works with data in alchemistry/alchemtests)