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name: history
channels:
- defaults
dependencies:
- conda
- python=3.7
- conda-env
- conda-build
- conda-verify
- anaconda-navigator
- navigator-updater
- vega_datasets
- altair
- dask
- stumpy
- pingouin
- folium
- rasterio
- geopandas
- descartes
- cartopy
- plotly
- geoplot
- fbprophet
- pyreadstat
- graphviz
- scikit-learn
- xgboost
- workalendar
- skyfield
- keras
- pydot
- ipykernel
- h5py
- imbalanced-learn
prefix: /anaconda/envs/history
name: base
channels:
- conda-forge
- defaults
dependencies:
- _libgcc_mutex=0.1
- _py-xgboost-mutex=2.0
- _tflow_select=2.3.0
- absl-py=0.8.1
- affine=2.3.0
- altair=3.2.0
- anaconda-client=1.7.2
- anaconda-navigator=1.9.7
- asn1crypto=1.2.0
- astor=0.8.0
- attrs=19.3.0
- backports=1.0
- backports.functools_lru_cache=1.6.1
- backports.tempfile=1.0
- backports.weakref=1.0.post1
- beautifulsoup4=4.8.1
- blas=1.0
- bokeh=1.4.0
- branca=0.3.1
- bzip2=1.0.8
- c-ares=1.15.0
- ca-certificates=2019.11.27
- cairo=1.14.12
- cartopy=0.17.0
- certifi=2019.11.28
- cffi=1.13.2
- chardet=3.0.4
- click=7.0
- click-plugins=1.1.1
- cligj=0.5.0
- cloudpickle=1.2.2
- clyent=1.2.2
- conda=4.8.0
- conda-build=3.18.11
- conda-env=2.6.0
- conda-package-handling=1.6.0
- conda-verify=3.4.2
- contextily=1.0rc2
- convertdate=2.1.3
- cryptography=2.8
- curl=7.67.0
- cycler=0.10.0
- cython=0.29.14
- cytoolz=0.10.1
- dask=2.9.0
- dask-core=2.9.0
- decorator=4.4.1
- deprecated=1.2.6
- descartes=1.1.0
- distributed=2.9.0
- entrypoints=0.3
- ephem=3.7.7.0
- fbprophet=0.5
- filelock=3.0.12
- fiona=1.8.4
- folium=0.10.1
- fontconfig=2.13.0
- freetype=2.9.1
- freexl=1.0.5
- fsspec=0.6.2
- future=0.18.2
- gast=0.2.2
- gdal=2.3.3
- geographiclib=1.50
- geopandas=0.6.1
- geoplot=0.4.0
- geopy=1.20.0
- geos=3.7.1
- giflib=5.1.4
- glob2=0.7
- google-pasta=0.1.8
- graphite2=1.3.13
- grpcio=1.16.1
- h5py=2.9.0
- hdf4=4.2.13
- hdf5=1.10.4
- heapdict=1.0.1
- icu=58.2
- idna=2.8
- importlib_metadata=1.3.0
- intel-openmp=2019.4
- ipython_genutils=0.2.0
- jinja2=2.10.3
- joblib=0.14.1
- jpeg=9b
- jplephem=2.9
- json-c=0.13.1
- jsonschema=3.2.0
- jupyter_core=4.6.1
- kealib=1.4.7
- keras=2.3.1
- keras-applications=1.0.8
- keras-preprocessing=1.1.0
- kiwisolver=1.1.0
- krb5=1.16.4
- libarchive=3.3.3
- libboost=1.67.0
- libcurl=7.67.0
- libffi=3.2.1
- libgdal=2.3.3
- libgpuarray=0.7.6
- libkml=1.3.0
- liblief=0.9.0
- libnetcdf=4.6.1
- libpng=1.6.37
- libpq=11.2
- libprotobuf=3.11.2
- libspatialindex=1.9.3
- libspatialite=4.3.0a
- libssh2=1.8.2
- libtiff=4.1.0
- libxcb=1.13
- libxgboost=0.90
- libxml2=2.9.9
- libxslt=1.1.33
- llvmlite=0.30.0
- locket=0.2.0
- lunardate=0.2.0
- lxml=4.4.2
- lz4-c=1.8.1.2
- lzo=2.10
- mako=1.1.0
- mapclassify=2.1.1
- markdown=3.1.1
- markupsafe=1.1.1
- matplotlib=3.1.1
- mercantile=1.1.2
- mkl=2019.4
- mkl-service=2.3.0
- mkl_fft=1.0.15
- mkl_random=1.1.0
- more-itertools=8.0.2
- mpmath=1.1.0
- msgpack-python=0.6.1
- munch=2.5.0
- navigator-updater=0.2.1
- nbformat=4.4.0
- numba=0.46.0
- numpy=1.17.4
- numpy-base=1.17.4
- olefile=0.46
- openjpeg=2.3.0
- openssl=1.1.1d
- opt_einsum=3.1.0
- owslib=0.18.0
- packaging=19.2
- pandas=0.25.3
- pandas-flavor=0.2.0
- partd=1.1.0
- patsy=0.5.1
- pcre=8.43
- pillow=6.2.1
- pingouin=0.3.0
- pip=19.3.1
- pixman=0.38.0
- pkginfo=1.5.0.1
- plotly=4.4.1
- proj4=5.2.0
- protobuf=3.11.2
- psutil=5.6.7
- py-lief=0.9.0
- py-xgboost=0.90
- pycalverter=1.6.1
- pycosat=0.6.3
- pycparser=2.19
- pydot=1.4.1
- pyepsg=0.4.0
- pygpu=0.7.6
- pykdtree=1.3.1
- pyluach=1.0.1
- pyopenssl=19.1.0
- pyparsing=2.4.5
- pyproj=1.9.6
- pyqt=5.9.2
- pyreadstat=0.2.9
- pyrsistent=0.15.6
- pyshp=2.1.0
- pysocks=1.7.1
- pystan=2.19.0.0
- python=3.7.5
- python-dateutil=2.8.1
- python-libarchive-c=2.8
- pytz=2019.3
- pyyaml=5.2
- qt=5.9.7
- qtpy=1.9.0
- rasterio=1.0.21
- requests=2.22.0
- retrying=1.3.3
- rtree=0.8.3
- ruamel_yaml=0.15.87
- scikit-learn=0.22
- scipy=1.3.2
- seaborn=0.9.0
- setuptools=42.0.2
- sgp4=1.4
- shapely=1.6.4
- sip=4.19.8
- six=1.13.0
- skyfield=1.16
- skyfield-data=0.1.0
- snuggs=1.4.7
- sortedcontainers=2.1.0
- soupsieve=1.9.5
- sqlite=3.30.1
- statsmodels=0.10.1
- stumpy=1.2.2
- tbb=2019.8
- tblib=1.6.0
- tensorboard=2.0.0
- tensorflow=2.0.0
- tensorflow-base=2.0.0
- tensorflow-estimator=2.0.0
- termcolor=1.1.0
- theano=1.0.4
- tk=8.6.8
- toolz=0.10.0
- tornado=6.0.3
- tqdm=4.40.2
- traitlets=4.3.3
- urllib3=1.25.7
- vega_datasets=0.7.0
- vincent=0.4.4
- werkzeug=0.16.0
- wheel=0.33.6
- workalendar=7.2.0
- wrapt=1.11.2
- xarray=0.14.1
- xerces-c=3.2.2
- xz=5.2.4
- yaml=0.1.7
- zict=1.0.0
- zipp=0.6.0
- zlib=1.2.11
- zstd=1.3.7
- pip:
- astunparse==1.6.2
- bcrypt==3.1.7
- colour==0.1.5
- distro==1.4.0
- ffpass==0.4.7
- geojson==2.5.0
- holidays==0.9.12
- mpld3==0.3
- mplleaflet==0.0.5
- paramiko==2.7.0
- pixiedust==1.1.18
- pmdarima==1.5.2
- pyasn1==0.4.7
- pycryptodome==3.9.0
- pynacl==1.3.0
- python-graphviz==0.13.2
- selenium==3.141.0
- squarify==0.4.3
- tabula-py==1.4.1
- tbats==1.0.8
name: original
channels:
- defaults
dependencies:
- asn1crypto=0.24.0
- backcall=0.1.0
- blas=1.0
- ca-certificates=2018.03.07
- certifi=2018.8.13
- cffi=1.11.5
- chardet=3.0.4
- cryptography=2.3
- cryptography-vectors=2.3
- cython=0.28.5
- decorator=4.3.0
- idna=2.7
- intel-openmp=2018.0.3
- ipython=6.5.0
- ipython_genutils=0.2.0
- jedi=0.12.1
- jsonschema=2.6.0
- jupyter_core=4.4.0
- matplotlib=3.0.2
- mkl
- mkl_fft
- mkl_random
- nb_conda=2.2.1
- nbformat=4.4.0
- numpy
- numpy-base
- openssl=1.0.2p
- pandas=0.23.4
- parso=0.3.1
- pexpect=4.6.0
- pickleshare=0.7.4
- pip=10.0.1
- plotly=3.1.0
- prompt_toolkit=1.0.15
- pycparser=2.18
- pygments=2.2.0
- pyopenssl=18.0.0
- pysocks=1.6.8
- python=3.6.6
- python-dateutil
- pytz=2018.5
- requests=2.19.1
- retrying=1.3.3
- scikit-learn=0.20.2
- scipy=1.1.0
- seaborn=0.9.0
- setuptools=40.0.0
- simplegeneric=0.8.1
- six=1.11.0
- sqlite=3.24.0
- tk=8.6.7
- traitlets=4.3.2
- urllib3=1.23
- wcwidth=0.1.7
- wheel=0.31.1
- xlrd=1.1.0
- xz=5.2.4
- zlib=1.2.11
- py-xgboost=0.72
- tqdm
- statsmodels=0.9.0
- beautifulsoup4=4.7.1
- networkx=2.2
- nltk=3.4
- gensim=3.4.0
- h5py=2.9.0
- pyspark=2.4.0
- patsy=0.5.1
- pydotplus=2.0.2
- pip:
- ipynb==0.5.1
- pytest==3.7
- tensorflow==1.6
- keras==2.2.1
- obscure==1.0.1
- folium
- imbalanced-learn
- graphviz
prefix: /anaconda3/envs/original
name: test
channels:
- conda-forge
- defaults
dependencies:
- asn1crypto=0.24.0
- altair=3.2.0
- backcall=0.1.0
- beautifulsoup4=4.8.1
- blas=1.0
- ca-certificates=2018.03.07
- certifi=2018.8.13
- cffi=1.11.5
- chardet=3.0.4
- cartopy=0.17.0
- contextily=1.0rc2
- convertdate=2.1.3
- cryptography=2.3
- cryptography-vectors=2.3
- curl=7.67.0
- cython=0.28.5
- dask=2.9.0
- dask-core=2.9.0
- decorator=4.3.0
- fbprophet=0.5
- fiona=1.8.4
- folium=0.10.1
- gdal=2.3.3
- geographiclib=1.50
- geopandas=0.6.1
- geoplot=0.4.0
- geopy=1.20.0
- geos=3.7.1
- graphviz=2.38.0
- h5py=2.9.0
- hdf4=4.2.13
- hdf5=1.10.4
- idna=2.7
- imbalanced-learn=0.6.1
- intel-openmp=2018.0.3
- ipykernel=5.1.3
- ipython=6.5.0
- ipython_genutils=0.2.0
- jedi=0.12.1
- jsonschema=2.6.0
- jupyter_client=5.3.4
- jupyter_core=4.4.0
- keras=2.3.1
- keras-applications=1.0.8
- keras-preprocessing=1.1.0
- libxgboost=0.90
- mapclassify=2.1.1
- matplotlib=3.1.1
- mercantile=1.1.2
- mkl=2019.4
- mkl-service=2.3.0
- mkl_fft=1.0.15
- mkl_random=1.1.0
- nb_conda=2.2.1
- nbformat=4.4.0
- numpy
- numpy-base
- openssl
- pandas=0.25.3
- pandas-flavor=0.2.0
- parso=0.3.1
- patsy=0.5.1
- pexpect=4.6.0
- pickleshare=0.7.4
- pillow=6.2.1
- pingouin=0.3.0
- pip=19.3.1
- plotly=4.4.1
- poppler=0.84.0
- poppler-data=0.4.9
- proj4=5.2.0
- prompt_toolkit=3.0.2
- psutil=5.6.7
- ptyprocess=0.6.0
- py-lief=0.9.0
- py-xgboost=0.90
- pycparser=2.19
- pydot=1.4.1
- pyepsg=0.4.0
- pygments=2.5.2
- pygpu=0.7.6
- pykdtree=1.3.1
- pyopenssl=19.1.0
- pyreadstat=0.2.9
- pysocks=1.7.1
- python=3.7.5
- python-dateutil
- pytz=2018.5
- requests=2.19.1
- retrying=1.3.3
- scikit-learn=0.22
- scipy=1.3.2
- seaborn=0.9.0
- setuptools=42.0.2
- shapely=1.6.4
- six=1.13.0
- skyfield=1.16
- skyfield-data=0.1.0
- sqlite=3.30.1
- statsmodels=0.10.1
- stumpy=1.2.2
- tensorboard=2.0.0
- tensorflow=2.0.0
- tensorflow-base=2.0.0
- tensorflow-estimator=2.0.0
- termcolor=1.1.0
- theano=1.0.4
- tk=8.6.8
- traitlets=4.3.3
- urllib3=1.25.7
- vega_datasets=0.7.0
- vincent=0.4.4
- wcwidth=0.1.7
- wheel=0.33.6
- workalendar=7.2.0
- xlrd=1.1.0
- xz=5.2.4
- zlib=1.2.11
- networkx=2.2
- nltk=3.4
- gensim=3.4.0
- pip:
- colour==0.1.5
- geojson==2.5.0
- holidays==0.9.12
- python-graphviz==0.13.2
- selenium==3.141.0
- squarify==0.4.3
- tabula-py==1.4.1
- tbats==1.0.8
prefix: /anaconda3/envs/test
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