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Commit 974b7655 authored by leufen1's avatar leufen1
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uncluded test related packages in requirements, removed outdated requirements files

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5 merge requests!413update release branch,!412Resolve "release v2.0.0",!361name of pdf starts now with feature_importance, there is now also another...,!350Resolve "upgrade code to TensorFlow V2",!335Resolve "upgrade code to TensorFlow V2"
Pipeline #83654 passed
...@@ -25,9 +25,11 @@ HPC systems, see [here](#special-instructions-for-installation-on-jülich-hpc-sy ...@@ -25,9 +25,11 @@ HPC systems, see [here](#special-instructions-for-installation-on-jülich-hpc-sy
* Install all **requirements** from [`requirements.txt`](https://gitlab.version.fz-juelich.de/toar/mlair/-/blob/master/requirements.txt) * Install all **requirements** from [`requirements.txt`](https://gitlab.version.fz-juelich.de/toar/mlair/-/blob/master/requirements.txt)
preferably in a virtual environment. You can use `pip install -r requirements.txt` to install all requirements at preferably in a virtual environment. You can use `pip install -r requirements.txt` to install all requirements at
once. Note, we recently updated the version of Cartopy and there seems to be an ongoing once. Note, we recently updated the version of Cartopy and there seems to be an ongoing
[issue](https://github.com/SciTools/cartopy/issues/1552) when installing numpy and Cartopy at the same time. If you [issue](https://github.com/SciTools/cartopy/issues/1552) when installing **numpy** and **Cartopy** at the same time.
run into trouble, you could use `cat requirements.txt | cut -f1 -d"#" | sed '/^\s*$/d' | xargs -L 1 pip install` If you run into trouble, you could use
instead. `cat requirements.txt | cut -f1 -d"#" | sed '/^\s*$/d' | xargs -L 1 pip install` instead or first install numpy with
`pip install numpy==<version_from_reqs>` followed be the default installation of requirements. For the latter, you can
also use `grep numpy requirements.txt | xargs pip install`.
* Installation of **MLAir**: * Installation of **MLAir**:
* Either clone MLAir from the [gitlab repository](https://gitlab.version.fz-juelich.de/toar/mlair.git) * Either clone MLAir from the [gitlab repository](https://gitlab.version.fz-juelich.de/toar/mlair.git)
and use it without installation (beside the requirements) and use it without installation (beside the requirements)
......
## this list was generated using pipreqs on mlair/ directory
astropy==4.1 astropy==4.1
auto_mix_prep==0.2.0 auto_mix_prep==0.2.0
Cartopy==0.18.0 Cartopy==0.18.0
...@@ -17,6 +16,7 @@ partd==1.2.0 ...@@ -17,6 +16,7 @@ partd==1.2.0
psutil==5.8.0 psutil==5.8.0
pydot==1.4.2 pydot==1.4.2
pytest==6.2.2 pytest==6.2.2
pytest-lazy-fixture==0.6.3
requests==2.25.1 requests==2.25.1
scipy==1.5.2 scipy==1.5.2
seaborn==0.11.1 seaborn==0.11.1
......
absl-py==0.15.0
astropy==4.1
astunparse==1.6.3
attrs==21.2.0
auto-mix-prep==0.2.0
cached-property==1.5.2
cachetools==4.2.4
certifi==2021.10.8
cftime==1.5.1.1
chardet==4.0.0
cycler==0.11.0
dask==2021.3.0
dataclasses==0.8
dill==0.3.3
flatbuffers==1.12
fsspec==2021.10.1
gast==0.4.0
google-auth==2.3.3
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.34.1
h5py==3.1.0
idna==2.10
importlib-metadata==4.8.1
iniconfig==1.1.1
keras==2.6.0
keras-nightly==2.5.0.dev2021032900
Keras-Preprocessing==1.1.2
kiwisolver==1.3.1
locket==0.2.1
Markdown==3.3.4
matplotlib==3.3.4
mock==4.0.3
netCDF4==1.5.8
numpy==1.19.5
oauthlib==3.1.1
opt-einsum==3.3.0
packaging==21.2
pandas==1.1.5
partd==1.2.0
patsy==0.5.2
Pillow==8.4.0
pluggy==0.13.1
protobuf==3.19.1
psutil==5.8.0
py==1.10.0
pyasn1==0.4.8
pyasn1-modules==0.2.8
pydot==1.4.2
pydub==0.25.1
pyparsing==2.4.7
pyshp==2.1.3
pytest==6.2.2
python-dateutil==2.8.2
pytz==2021.3
PyYAML==6.0
requests==2.25.1
requests-oauthlib==1.3.0
rsa==4.7.2
scipy==1.5.2
seaborn==0.11.1
six==1.15.0
statsmodels==0.12.2
tabulate==0.8.9
tensorboard==2.7.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.0
tensorflow==2.5.0
tensorflow-estimator==2.5.0
termcolor==1.1.0
toml==0.10.2
toolz==0.11.1
typing-extensions==3.7.4.3
urllib3==1.26.7
Werkzeug==2.0.2
wget==3.2
wrapt==1.12.1
xarray==0.16.2
zipp==3.6.0
--no-binary shapely Shapely==1.7.0
Cartopy==0.18.0
\ No newline at end of file
absl-py==0.11.0
appdirs==1.4.4
astor==0.8.1
astropy==4.1
astunparse==1.6.3
attrs==20.3.0
Bottleneck==1.3.2
cached-property==1.5.2
cachetools==4.2.4
Cartopy==0.18.0
certifi==2020.12.5
cftime==1.4.1
chardet==4.0.0
click==8.0.3
cloudpickle==2.0.0
coverage==5.4
cycler==0.10.0
dask==2021.10.0
dill==0.3.3
distributed==2021.10.0
flatbuffers==1.12
fsspec==0.8.5
gast==0.4.0
google-auth==2.3.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
greenlet==1.1.2
grpcio==1.34.0
h5py==3.1.0
HeapDict==1.0.1
idna==2.10
importlib-metadata==3.4.0
iniconfig==1.1.1
Jinja2==3.0.2
joblib==1.1.0
keras-nightly==2.5.0.dev2021032900
Keras-Preprocessing==1.1.2
kiwisolver==1.3.1
locket==0.2.1
Markdown==3.3.3
MarkupSafe==2.0.1
matplotlib==3.3.4
mock==4.0.3
msgpack==1.0.2
netCDF4==1.5.5.1
numpy==1.19.5
oauthlib==3.1.1
opt-einsum==3.3.0
ordered-set==4.0.2
packaging==20.9
pandas==1.1.5
partd==1.1.0
patsy==0.5.1
Pillow==8.1.0
pluggy==0.13.1
protobuf==3.15.0
psutil==5.8.0
py==1.10.0
pyasn1==0.4.8
pyasn1-modules==0.2.8
pydot==1.4.2
pyparsing==2.4.7
pyshp==2.1.3
pytest==6.2.2
pytest-cov==2.11.1
pytest-html==3.1.1
pytest-lazy-fixture==0.6.3
pytest-metadata==1.11.0
pytest-sugar==0.9.4
python-dateutil==2.8.1
pytz==2021.1
PyYAML==5.4.1
requests==2.25.1
requests-oauthlib==1.3.0
rsa==4.7.2
scikit-learn==1.0.1
scipy==1.5.2
seaborn==0.11.1
Shapely==1.7.1
six==1.15.0
sortedcontainers==2.4.0
SQLAlchemy==1.4.26
statsmodels==0.12.2
tabulate==0.8.8
tblib==1.7.0
tensorboard==2.7.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.0
tensorflow==2.5.0
tensorflow-estimator==2.5.0
termcolor==1.1.0
threadpoolctl==3.0.0
toml==0.10.2
toolz==0.11.1
tornado==6.1
typing-extensions==3.7.4.3
urllib3==1.26.3
Werkzeug==1.0.1
wget==3.2
wrapt==1.12.1
xarray==0.16.2
zict==2.0.0
zipp==3.4.0
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