per #1566, added explicit version numbers for each Python package tha…

…t is installed in the Docker Conda environments used for the automated tests to ensure that the same environment will be generated even if the default version of the package differs from the env used to create them

scripts/docker/docker_env/scripts/cfgrib_env.sh

@@ -6,11 +6,10 @@
 # Notes: Adds Python packages needed to read GRIB data into Xarray and
 #   so it can easily be processed with MetPy
 # Python Packages:
-# TODO: update version numbers
-#   metpy==1.0.1
-#   netcdf4==1.5.6
-#   cfgrib==0.9.9.0
-#   pygrib==2.1.3
+#   metpy==1.3.0
+#   netcdf4==1.5.8
+#   cfgrib==0.9.10.1
+#   pygrib==2.1.4
 #
 # Other Content: None
 ################################################################################
@@ -19,7 +18,7 @@
 ENV_NAME=cfgrib.v5
 
 conda create -y --name ${ENV_NAME} -c conda-forge python=3.8.6
-conda install -y --name ${ENV_NAME} -c conda-forge metpy #==1.0.1
-conda install -y --name ${ENV_NAME} -c conda-forge netcdf4 #==1.5.6
-conda install -y --name ${ENV_NAME} -c conda-forge cfgrib #==0.9.9.0
-conda install -y --name ${ENV_NAME} -c conda-forge pygrib #==2.1.3
+conda install -y --name ${ENV_NAME} -c conda-forge metpy==1.3.0
+conda install -y --name ${ENV_NAME} -c conda-forge netcdf4==1.5.8
+conda install -y --name ${ENV_NAME} -c conda-forge cfgrib==0.9.10.1
+conda install -y --name ${ENV_NAME} -c conda-forge pygrib==2.1.4

scripts/docker/docker_env/scripts/cycloneplotter_env.sh

@@ -6,10 +6,9 @@
 # Notes: Adds packages needed to run CyclonePlotter wrapper
 #   Added pandas because it is used by tc_and_extra_tc use case
 # Python Packages:
-# TODO: update versions
-#   cartopy==
-#   matplotlib==
-#   pandas==
+#   cartopy==0.20.3
+#   matplotlib==3.5.2
+#   pandas==1.4.3
 #
 # Other Content: None
 ################################################################################
@@ -21,9 +20,9 @@ ENV_NAME=cycloneplotter.v5
 BASE_ENV=metplus_base.v5
 
 conda create -y --clone ${BASE_ENV} --name ${ENV_NAME}
-conda install -y --name ${ENV_NAME} -c conda-forge cartopy
-conda install -y --name ${ENV_NAME} -c conda-forge matplotlib
-conda install -y --name ${ENV_NAME} -c conda-forge pandas
+conda install -y --name ${ENV_NAME} -c conda-forge cartopy==0.20.3
+conda install -y --name ${ENV_NAME} -c conda-forge matplotlib==3.5.2
+conda install -y --name ${ENV_NAME} -c conda-forge pandas==1.4.3
 
 yum -y install wget
 wget https://raw.githubusercontent.com/SciTools/cartopy/master/tools/cartopy_feature_download.py

scripts/docker/docker_env/scripts/diff_env.sh

@@ -5,10 +5,9 @@
 # Last Updated: 2022-07-08 ([email protected])
 # Notes: Adds packages needed to run differences tests to compare output to
 #   truth data.
-# TODO: update version numbers
 # Python Packages:
-#   pillow==?
-#   pdf2image==?
+#   pillow==9.2.0
+#   pdf2image==1.16.0
 #
 # Other Content:
 #   poppler-utils
@@ -21,8 +20,8 @@ ENV_NAME=diff.v5
 BASE_ENV=netcdf4.v5
 
 conda create -y --clone ${BASE_ENV} --name ${ENV_NAME}
-conda install -y --name ${ENV_NAME} -c conda-forge pillow
+conda install -y --name ${ENV_NAME} -c conda-forge pillow==9.2.0
 
 yum -y install poppler-utils
 
-conda install -y --name ${ENV_NAME} -c conda-forge pdf2image
+conda install -y --name ${ENV_NAME} -c conda-forge pdf2image==1.16.0

scripts/docker/docker_env/scripts/h5py_env.sh

@@ -5,8 +5,7 @@
 # Last Updated: 2022-06-15 ([email protected])
 # Notes: Adds Python interface to the HDF5 binary format
 # Python Packages:
-# TODO: update versions
-#   h5py==2.10.0
+#   h5py==3.6.0
 #
 # Other Content: None
 ################################################################################
@@ -18,4 +17,4 @@ ENV_NAME=h5py.v5
 BASE_ENV=py_embed_base.v5
 
 conda create -y --clone ${BASE_ENV} --name ${ENV_NAME}
-conda install -y --name ${ENV_NAME} -c conda-forge h5py #==2.10.0
+conda install -y --name ${ENV_NAME} -c conda-forge h5py==3.6.0

scripts/docker/docker_env/scripts/icecover_env.sh

@@ -5,10 +5,10 @@
 # Last Updated: 2022-07-08 ([email protected])
 # Notes: Adds Python packages required for ice cover use case
 # Python Packages:
-# TODO: update package versions
-#   pyproj==
-#   pyresample==
-#   scikit-learn==
+#   xarray==2022.3.0
+#   pyresample==1.24.1
+#   scikit-learn==1.1.1
+#   pyproj==3.3.1
 #
 # Other Content: None
 ################################################################################
@@ -20,7 +20,7 @@ ENV_NAME=icecover.v5
 BASE_ENV=py_embed_base.v5
 
 conda create -y --clone ${BASE_ENV} --name ${ENV_NAME}
-conda install -y --name ${ENV_NAME} -c conda-forge xarray
-conda install -y --name ${ENV_NAME} -c conda-forge pyresample
-conda install -y --name ${ENV_NAME} -c conda-forge scikit-learn
-conda install -y --name ${ENV_NAME} -c conda-forge pyproj
+conda install -y --name ${ENV_NAME} -c conda-forge xarray==2022.3.0
+conda install -y --name ${ENV_NAME} -c conda-forge pyresample==1.24.1
+conda install -y --name ${ENV_NAME} -c conda-forge scikit-learn==1.1.1
+conda install -y --name ${ENV_NAME} -c conda-forge pyproj==3.3.1

scripts/docker/docker_env/scripts/metdataio_env.sh

@@ -5,10 +5,9 @@
 # Last Updated: 2022-07-13 ([email protected])
 # Notes: Adds Python packages needed to run METdbLoad from METdataio
 # Python Packages:
-# TODO: update versions
-#   lxml==3.8.0
+#   lxml==4.9.1
 #   pymysql==1.0.2
-#   pandas==1.1.4
+#   pandas==1.4.3
 #
 # Other Content: None
 ################################################################################
@@ -21,6 +20,6 @@ BASE_ENV=metplus_base.v5
 
 conda create -y --clone ${BASE_ENV} --name ${ENV_NAME}
 
-conda install -y --name ${ENV_NAME} -c conda-forge lxml #==3.8.0
-conda install -y --name ${ENV_NAME} -c conda-forge pymysql #==1.0.2
-conda install -y --name ${ENV_NAME} -c conda-forge pandas #==1.1.4
+conda install -y --name ${ENV_NAME} -c conda-forge lxml==4.9.1
+conda install -y --name ${ENV_NAME} -c conda-forge pymysql==1.0.2
+conda install -y --name ${ENV_NAME} -c conda-forge pandas==1.4.3

scripts/docker/docker_env/scripts/metplotpy_env.sh

@@ -4,20 +4,20 @@
 # Environment: metplotpy
 # Last Updated: 2022-06-14 ([email protected])
 # Notes: Adds Python packages needed to run METplotpy and METcalcpy
-#   Uses pip to install kaleido because
-#   could not install via Conda (glibc conflict)
 # Python Packages:
-# UPDATE THESE VERSION NUMBERS!
-#   matplotlib==3.3.0
-#   scipy==1.5.1
-#   plotly==4.9.0
-#   cartopy==0.18.0
-#   eofs==1.3.0
-#   cmocean==2.0
-#   xarray==0.17
-#   netcdf4==1.5.6
-#   pyyaml==?
+#   matplotlib==3.5.2
+#   scipy==1.8.1
+#   plotly==5.9.0
+#   xarray==2022.3.0
+#   netcdf4==1.6.0
+#   pyyaml==6.0
+#   statsmodels==0.13.2
 #   python-kaleido==0.2.1
+#   imageio==2.19.3
+#   imutils==0.5.4
+#   scikit-image==0.19.3
+#   pint==0.19.2
+#   metpy=1.3.1
 #
 # Other Content: None
 ################################################################################
@@ -31,25 +31,19 @@ BASE_ENV=metplus_base.v5
 
 conda create -y --clone ${BASE_ENV} --name ${ENV_NAME}
 
-conda install -y --name ${ENV_NAME} -c conda-forge matplotlib #==3.3.0
-conda install -y --name ${ENV_NAME} -c conda-forge scipy #==1.5.1
-conda install -y --name ${ENV_NAME} -c conda-forge plotly #==4.9.0
-#conda install -y --name ${ENV_NAME} -c conda-forge cartopy #==0.18.0
-#conda install -y --name ${ENV_NAME} -c conda-forge eofs #==1.3.0
-#conda install -y --name ${ENV_NAME} -c conda-forge cmocean #==2.0
-conda install -y --name ${ENV_NAME} -c conda-forge xarray #==0.17
-conda install -y --name ${ENV_NAME} -c conda-forge netcdf4 #==1.5.6
-conda install -y --name ${ENV_NAME} -c conda-forge pyyaml
-conda install -y --name ${ENV_NAME} -c conda-forge statsmodels #==0.11.1
-conda install -y --name ${ENV_NAME} -c conda-forge python-kaleido
-
-conda install -y --name ${ENV_NAME} -c conda-forge imageio
-conda install -y --name ${ENV_NAME} -c conda-forge imutils
-#opencv-python?
-conda install -y --name ${ENV_NAME} -c conda-forge scikit-image
-conda install -y --name ${ENV_NAME} -c conda-forge pint
-conda install -y --name ${ENV_NAME} -c conda-forge metpy
-#/usr/local/envs/${ENV_NAME}/bin/pip3 install kaleido==0.2.1
+conda install -y --name ${ENV_NAME} -c conda-forge matplotlib==3.5.2
+conda install -y --name ${ENV_NAME} -c conda-forge scipy==1.8.1
+conda install -y --name ${ENV_NAME} -c conda-forge plotly==5.9.0
+conda install -y --name ${ENV_NAME} -c conda-forge xarray==2022.3.0
+conda install -y --name ${ENV_NAME} -c conda-forge netcdf4==1.6.0
+conda install -y --name ${ENV_NAME} -c conda-forge pyyaml==6.0
+conda install -y --name ${ENV_NAME} -c conda-forge statsmodels==0.13.2
+conda install -y --name ${ENV_NAME} -c conda-forge python-kaleido==0.2.1
+conda install -y --name ${ENV_NAME} -c conda-forge imageio==2.19.3
+conda install -y --name ${ENV_NAME} -c conda-forge imutils==0.5.4
+conda install -y --name ${ENV_NAME} -c conda-forge scikit-image==0.19.3
+conda install -y --name ${ENV_NAME} -c conda-forge pint==0.19.2
+conda install -y --name ${ENV_NAME} -c conda-forge metpy=1.3.1
 
 yum -y install wget
 wget https://raw.githubusercontent.com/SciTools/cartopy/master/tools/cartopy_feature_download.py

scripts/docker/docker_env/scripts/netcdf4_env.sh

@@ -5,8 +5,7 @@
 # Last Updated: 2022-06-16 ([email protected])
 # Notes: Adds NetCDF4 Python package
 # Python Packages:
-# TODO: update version numbers
-#   netcdf4==1.5.6
+#   netcdf4==1.5.8
 #
 # Other Content: None
 ################################################################################
@@ -18,4 +17,4 @@ ENV_NAME=netcdf4.v5
 BASE_ENV=metplus_base.v5
 
 conda create -y --clone ${BASE_ENV} --name ${ENV_NAME}
-conda install -y --name ${ENV_NAME} -c conda-forge netcdf4 #==1.5.6
+conda install -y --name ${ENV_NAME} -c conda-forge netcdf4==1.5.8

scripts/docker/docker_env/scripts/py_embed_base_env.sh

@@ -6,9 +6,8 @@
 # Notes: Move logic to create METplus base env to script so it can be called
 #   on a local machine to create the environment
 # Python Packages:
-# TODO: update package list
-#   xarray==
-#   netcdf4==
+#   xarray==2022.3.0
+#   netcdf4==1.5.8
 #
 # Other Content: None
 ################################################################################
@@ -17,5 +16,5 @@
 ENV_NAME=py_embed_base.v5
 
 conda create -y --name ${ENV_NAME} -c conda-forge python=3.8.6
-conda install -y --name ${ENV_NAME} -c conda-forge xarray #==0.16.2
-conda install -y --name ${ENV_NAME} -c conda-forge netcdf4 #==1.5.6
+conda install -y --name ${ENV_NAME} -c conda-forge xarray==2022.3.0
+conda install -y --name ${ENV_NAME} -c conda-forge netcdf4==1.5.8

scripts/docker/docker_env/scripts/pygrib_env.sh

@@ -5,9 +5,8 @@
 # Last Updated: 2022-06-16 ([email protected])
 # Notes: Adds Python packages needed to read GRIB data
 # Python Packages:
-# TODO: update version numbers!
-#   pygrib==2.0.2
-#   metpy==1.0.1
+#   pygrib==2.1.4
+#   metpy==1.3.0
 #
 # Other Content: None
 ################################################################################
@@ -21,5 +20,5 @@ BASE_ENV=py_embed_base.v5
 
 conda create -y --clone ${BASE_ENV} --name ${ENV_NAME}
 
-conda install -y --name ${ENV_NAME} -c conda-forge pygrib #==2.0.2
-conda install -y --name ${ENV_NAME} -c conda-forge metpy #==1.0.1
+conda install -y --name ${ENV_NAME} -c conda-forge pygrib==2.1.4
+conda install -y --name ${ENV_NAME} -c conda-forge metpy==1.3.0

scripts/docker/docker_env/scripts/spacetime_env.sh

@@ -5,13 +5,12 @@
 # Last Updated: 2022-06-16 ([email protected])
 # Notes: Adds Python packages needed to generate coherence spectra (METplotpy)
 # Python Packages:
-# TODO: update package list
-#   netCDF4==1.5.4
-#   xarray==0.18.2
-#   scipy==1.5.3
-#   matplotlib==3.2.2
+#   netCDF4==1.5.8
+#   xarray==2022.3.0
+#   scipy==1.8.1
+#   matplotlib==3.5.2
 #   pyngl==1.6.1
-#   pyyaml==5.3.1
+#   pyyaml==6.0
 #
 # Other Content: None
 ################################################################################
@@ -21,9 +20,9 @@ ENV_NAME=spacetime.v5
 
 conda create -y --name ${ENV_NAME} -c conda-forge python=3.8.6
 
-conda install -y --name ${ENV_NAME} -c conda-forge netCDF4 #==1.5.4
-conda install -y --name ${ENV_NAME} -c conda-forge xarray #==0.18.2
-conda install -y --name ${ENV_NAME} -c conda-forge scipy #==1.5.3
-conda install -y --name ${ENV_NAME} -c conda-forge matplotlib #==3.2.2
-conda install -y --name ${ENV_NAME} -c conda-forge pyngl #==1.6.1
-conda install -y --name ${ENV_NAME} -c conda-forge pyyaml #==5.3.1
+conda install -y --name ${ENV_NAME} -c conda-forge netCDF4==1.5.8
+conda install -y --name ${ENV_NAME} -c conda-forge xarray==2022.3.0
+conda install -y --name ${ENV_NAME} -c conda-forge scipy==1.8.1
+conda install -y --name ${ENV_NAME} -c conda-forge matplotlib==3.5.2
+conda install -y --name ${ENV_NAME} -c conda-forge pyngl==1.6.1
+conda install -y --name ${ENV_NAME} -c conda-forge pyyaml==6.0

scripts/docker/docker_env/scripts/weatherregime_env.sh

@@ -6,11 +6,10 @@
 # Notes: Adds Python packages needed to run weather regime use case
 #  METplotpy and METcalcpy
 # Python Packages:
-# TODO: update versions
-#   All packages from metplotpy_env
-#   scikit-learn==0.24.2
+#   All packages from metplotpy.v5
+#   scikit-learn==1.1.1
 #   eofs==1.4.0
-#   cmocean==
+#   cmocean==2.0
 #
 # Other Content: None
 ################################################################################
@@ -23,9 +22,9 @@ BASE_ENV=metplotpy.v5
 
 
 conda create -y --clone ${BASE_ENV} --name ${ENV_NAME}
-conda install -y --name ${ENV_NAME} -c conda-forge scikit-learn #==0.24.2
-conda install -y --name ${ENV_NAME} -c conda-forge eofs #==1.4.0
-conda install -y --name ${ENV_NAME} -c conda-forge cmocean
+conda install -y --name ${ENV_NAME} -c conda-forge scikit-learn==1.1.1
+conda install -y --name ${ENV_NAME} -c conda-forge eofs==1.4.0
+conda install -y --name ${ENV_NAME} -c conda-forge cmocean==2.0
 
 rm cartopy_feature_download.py
 yum -y install wget

scripts/docker/docker_env/scripts/xesmf_env.sh

@@ -5,7 +5,8 @@
 # Last Updated: 2022-06-16 ([email protected])
 # Notes: Adds Python package to read Tripolar grids
 # Python Packages:
-# TODO: update package versions and add others
+#   netcdf4==1.5.8
+#   xarray==2022.3.0
 #   xesmf==0.3.0
 #
 # Other Content: None
@@ -18,6 +19,6 @@ ENV_NAME=xesmf.v5
 BASE_ENV=metplus_base.v5
 
 conda create -y --clone ${BASE_ENV} --name ${ENV_NAME}
-conda install -y --name ${ENV_NAME} -c conda-forge netcdf4
-conda install -y --name ${ENV_NAME} -c conda-forge xarray
-conda install -y --name ${ENV_NAME} -c conda-forge xesmf
+conda install -y --name ${ENV_NAME} -c conda-forge netcdf4==1.5.8
+conda install -y --name ${ENV_NAME} -c conda-forge xarray==2022.3.0
+conda install -y --name ${ENV_NAME} -c conda-forge xesmf==0.3.0