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Start pipeline to download SMARTEOLE data
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.dvc/.gitignore

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/config.local
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/tmp
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/cache

.dvc/config

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[core]
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autostage = true

.dvcignore

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# Add patterns of files dvc should ignore, which could improve
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# the performance. Learn more at
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# https://dvc.org/doc/user-guide/dvcignore

calkit.yaml

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environments:
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py:
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path: environment.yml
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kind: conda

dvc.lock

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schema: '2.0'
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stages:
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get-smarteole-data:
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cmd: calkit xenv -n py -- python examples/download_flasc_data.py
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deps:
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- path: examples/download_flasc_data.py
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hash: md5
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md5: b32c6407763065a089ae6f336f3ac74b
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size: 1559
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outs:
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- path: inputs/SMARTEOLE-WFC-open-dataset
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hash: md5
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md5: 1e2a5737103434165f1f10a0f108405b.dir
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size: 438232953
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nfiles: 9

dvc.yaml

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stages:
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get-smarteole-data:
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cmd: calkit xenv -n py -- python examples/download_flasc_data.py
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deps:
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- examples/download_flasc_data.py
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outs:
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- inputs/SMARTEOLE-WFC-open-dataset:
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cache: false
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persist: true

environment-lock.yml

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channels:
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- conda-forge
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dependencies:
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- brotli-python=1.1.0
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- bzip2=1.0.8
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- ca-certificates=2025.1.31
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- certifi=2025.1.31
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- cffi=1.17.1
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- charset-normalizer=3.4.1
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- h2=4.2.0
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- hpack=4.1.0
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- hyperframe=6.1.0
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- idna=3.10
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- libblas=3.9.0
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- libcblas=3.9.0
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- libcxx=19.1.7
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- libexpat=2.6.4
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- libffi=3.4.2
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- libgfortran=5.0.0
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- libgfortran5=13.2.0
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- liblapack=3.9.0
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- liblzma=5.6.4
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- libmpdec=4.0.0
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- libopenblas=0.3.29
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- libsqlite=3.49.1
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- libzlib=1.3.1
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- llvm-openmp=19.1.7
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- ncurses=6.5
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- numpy=2.2.3
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- openssl=3.4.1
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- pip=25.0.1
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- pycparser=2.22
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- pysocks=1.7.1
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- python=3.13.2
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- python_abi=3.13
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- readline=8.2
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- requests=2.32.3
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- tk=8.6.13
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- tzdata=2025a
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- urllib3=2.3.0
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- zstandard=0.23.0
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- zstd=1.5.6
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name: wind-forecasting-py

environment.yml

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name: wind-forecasting-py
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channels:
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- conda-forge
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dependencies:
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- python
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- requests
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- numpy

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