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‎.dask/config.yaml‎

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distributed:
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logging:
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bokeh: critical
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dashboard:
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link: /user/{JUPYTERHUB_USER}/proxy/{port}/status
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admin:
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tick:
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limit: 5s
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kubernetes:
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worker-name: dask-{JUPYTERHUB_USER}-{uuid}
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worker-template:
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metadata:
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spec:
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restartPolicy: Never
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containers:
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- args:
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- dask-worker
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- --nthreads
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- '2'
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- --no-bokeh
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- --memory-limit
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- 7GB
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- --death-timeout
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- '60'
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image: ${JUPYTER_IMAGE_SPEC}
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name: dask-worker
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resources:
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limits:
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cpu: "1.75"
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memory: 7G
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requests:
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cpu: "1.75"
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memory: 7G

‎.gitignore‎

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# Ignore everything
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*
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# whitelist notebooks, png and shell
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!*.ipynb
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!*.png
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!*.sh
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# whitelist scripts
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!scripts/
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!/scripts/*
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# whitelist notebooks
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!notebooks/
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#!/notebooks/**
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# whitelist .dask
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!.dask/
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!/.dask/*
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# whitelist binder
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!binder/
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!/binder/*
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# Whitelist root files
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!.gitignore
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!.travis.yml
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!conftest.py
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!README.md
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!LICENSE.txt
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!Welcome_Pangeo.md
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# blacklist standard notebook copies
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*-Copy*.ipynb
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# blacklist checkpoints
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*checkpoint*

‎.travis.yml‎

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# run on container-based infrastructure
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sudo: false
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language: python
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branches:
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only:
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- master
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env:
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global:
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# wradlib-docs-bot
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- secure: 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- NOTEBOOKS_BUILD_DIR=$TRAVIS_BUILD_DIR
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matrix:
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include:
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- python: 3.7
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sudo: required
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dist: xenial
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services: xvfb
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env:
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- WRADLIB_NOTEBOOKTEST="true"
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- PYTHON_VERSION="3.7"
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- GDAL_VERSION="2"
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- python: 3.7
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sudo: required
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dist: xenial
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services: xvfb
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env:
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- WRADLIB_NOTEBOOKTEST="true"
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- PYTHON_VERSION="3.7"
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- GDAL_VERSION="3"
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- python: 3.8
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sudo: required
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dist: xenial
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services: xvfb
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env:
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- WRADLIB_NOTEBOOKTEST="true"
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- PYTHON_VERSION="3.8"
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- GDAL_VERSION="3"
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- DEPLOY="true"
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- python: 3.9
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sudo: required
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dist: xenial
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services: xvfb
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env:
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- WRADLIB_NOTEBOOKTEST="true"
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- PYTHON_VERSION="3.9"
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- GDAL_VERSION="3"
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install:
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- deactivate
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- source ci/travis/install.sh
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script:
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- scripts/render_notebooks.sh;
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after_success:
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- if [ "${DEPLOY}" == "true" ]; then
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cd $NOTEBOOKS_BUILD_DIR && scripts/push_notebooks.sh;
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fi;

‎LICENSE.txt‎

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The MIT License (MIT)
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Copyright (c) 2016-2020 wradlib developers
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Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

‎README.md‎

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# README #
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## wradlib-notebooks ##
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This repository consists of jupyter notebooks to give examples of wradlib usage and help users via tutorials.
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- [An incomplete introduction to python](notebooks/learnpython.ipynb)
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- [Getting started with wradlib](notebooks/basics.ipynb)
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- [Data Input - Data Output](notebooks/fileio.ipynb)
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- [Attenuation correction](notebooks/attenuation/wradlib_attenuation.ipynb)
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- [Beam Blockage Calculation using DEM](notebooks/beamblockage/wradlib_beamblock.ipynb)
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- [Clutter and Echo Classification](notebooks/classify.ipynb)
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- [Georeferencing](notebooks/georeferencing.ipynb)
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- [Match spaceborn SR (GPM/TRRM) with ground radars GR](notebooks/match3d/wradlib_match_workflow.ipynb)
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- [Data Interpolation](notebooks/interpolation/wradlib_ipol_example.ipynb)
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- [Adjusting rainfall estimates by rain gauges](notebooks/multisensor/wradlib_adjust_example.ipynb)
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- [Verification for precipitation estimates](notebooks/verification/wradlib_verify_example.ipynb)
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- [Recipes](notebooks/recipes.ipynb)
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- [RADOLAN Composite](notebooks/radolan.ipynb)
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- [Zonal Statistics](notebooks/zonalstats/wradlib_zonalstats_classes.ipynb)

‎Welcome_Pangeo.md‎

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Welcome To Pangeo Binder
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========================
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<img src="https://pangeo.io/_images/small_e_logo_cropped.png" width="30%" align="right">
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This is a live session from which you can run scalable notebooks on the cloud.
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A file browser listing example notebooks is available to the left.
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Dask dashboard plots are available to the right.
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These will activate when you launch a Dask cluster and start doing work.
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(these cells are already written for you).
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To get started, double click on one of the notebooks to the left,
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and start running through the Jupyter notebook cells.
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Where is this running?
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----------------------
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This session is running on [binder.pangeo.io](https://binder.pangeo.io),
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a service designed and maintained by the [Pangeo community](https://pangeo.io) for scalable earth science.
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It is running on Google Cloud Platform using credits generously donated by Google to that Community.

‎appveyor.yml‎

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environment:
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CONDA_PATH: "C:\\Miniconda37-x64"
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matrix:
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- PYTHON_VERSION: "3.8"
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- PYTHON_VERSION: "3.9"
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install:
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# clone wradlib-data
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- ps: |
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& cmd /C "git clone https://github.com/wradlib/wradlib-data.git C:\projects\wradlib\wradlib-data 2>&1"
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# clone wradlib
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- ps: |
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& cmd /C "git clone https://github.com/wradlib/wradlib.git C:\projects\wradlib\wradlib 2>&1"
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# Use the pre-installed Miniconda for the desired arch
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- ps: if($env:PLATFORM -eq 'x64')
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{ $env:CONDA_PATH="$($env:CONDA_PATH)-x64" }
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- ps: $env:path="$($env:CONDA_PATH);$($env:CONDA_PATH)\Scripts;$($env:CONDA_PATH)\Library\bin;C:\cygwin\bin;$($env:PATH)"
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# set WRADLIB_DATA
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- ps: $env:WRADLIB_DATA="C:\projects\wradlib\wradlib-data"
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# Create and activate a conda environment with the wanted Python version
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- "conda config --add channels conda-forge"
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- "conda config --set channel_priority strict"
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- "conda install --yes mamba"
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- "conda config --set changeps1 no"
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# Install wradlib dependecies
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- "mamba create --yes --quiet -n wradlib-tests python=%PYTHON_VERSION% %MKL% gdal numpy scipy matplotlib-base netcdf4 h5py h5netcdf xarray dask cartopy deprecation xmltodict coverage codecov pytest pytest-cov pytest-xdist pytest-sugar notebook nbconvert psutil tqdm wetterdienst"
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- "activate wradlib-tests"
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# Some checks
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- "python -VV"
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- "python -c \"import struct; print(struct.calcsize('P') * 8)\""
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- "conda list"
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# build wradlib
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- "python -m pip install C:\\projects\\wradlib\\wradlib --no-deps --ignore-installed --no-cache-dir"
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build: false
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branches:
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only:
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- master
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test_script:
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- "pytest -vv --durations=15 --pyargs notebooks"

‎binder/apt.txt‎

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graphviz

‎binder/environment.yml‎

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name: pangeo
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channels:
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- conda-forge
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dependencies:
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- python=3.6
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- xarray
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- dask
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- distributed
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- dask-kubernetes
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- gcsfs
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- zarr
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- matplotlib
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- numcodecs
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- python-blosc
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- lz4
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- nomkl
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- nbserverproxy
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- jupyter
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- jupyterlab=0.35
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- jupyterlab_launcher
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- jupyter_client
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- ipywidgets
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- graphviz
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- nodejs
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- wradlib
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- pip:
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- kubernetes
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- graphviz

‎binder/jupyterlab-workspace.json‎

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{
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"data": {
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"layout-restorer:data": {
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"main": {
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"dock": {
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"type": "split-area",
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"orientation": "horizontal",
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"sizes": [
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0.5,
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0.5
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],
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"children": [
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{
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"type": "tab-area",
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"currentIndex": 0,
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"widgets": [
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"application-mimedocuments:Welcome_Pangeo.md:Markdown Preview"
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]
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},
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{
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"type": "split-area",
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"orientation": "vertical",
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"sizes": [
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0.67,
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0.33
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],
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"children": [
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{
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"type": "tab-area",
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"currentIndex": 0,
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"widgets": [
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"dask-dashboard-launcher:individual-task-stream"
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]
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},
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{
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"type": "tab-area",
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"currentIndex": 0,
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"widgets": [
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"dask-dashboard-launcher:individual-progress"
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]
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}
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]
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}
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]
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},
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"mode": "multiple-document",
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"current": "application-mimedocuments:Welcome_Pangeo.md:Markdown Preview"
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},
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"left": {
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"collapsed": false,
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"current": "filebrowser",
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"widgets": [
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"filebrowser",
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"running-sessions",
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"dask-dashboard-launcher",
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"command-palette",
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"tab-manager"
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]
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},
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"right": {
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"collapsed": true,
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"widgets": []
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}
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},
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"file-browser-filebrowser:cwd": {
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"path": ""
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},
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"dask-dashboard-launcher:individual-task-stream": {
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"data": {
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"route": "individual-task-stream",
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"label": "Task Stream"
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}
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},
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"dask-dashboard-launcher:individual-progress": {
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"data": {
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"route": "individual-progress",
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"label": "Progress"
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}
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},
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"dask-dashboard-launcher": {
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"url": "DASK_DASHBOARD_URL"
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},
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"application-mimedocuments:Welcome.md:Markdown Preview": {
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"data": {
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"path": "Welcome_Pangeo.md",
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"factory": "Markdown Preview"
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}
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}
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},
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"metadata": {
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"id": "WORKSPACE_ID"
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}
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}

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