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.gitignore

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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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*.log
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/latest/usage/project/#working-with-version-control
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.pdm.toml
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.pdm-python
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.pdm-build/
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/

Dockerfile

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FROM docker.io/library/python:3.9
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RUN pip install cwl-utils==0.14 attrs loguru
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README.md

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# zoo-argowf-runner
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23
Zoo runner using Argo Workflows
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## Environment variables
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STORAGE_CLASS
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DEFAULT_VOLUME_SIZE
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DEFAULT_MAX_CORES
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DEFAULT_MAX_RAM
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ARGO_WF_ENDPOINT
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ARGO_WF_TOKEN

pyproject.toml

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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[project]
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name = "zoo-argowf-runner"
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description = "Zoo runner using Argo Workflows to process an Application Package encoded in CWL."
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dynamic = ["version"]
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readme = "README.md"
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requires-python = ">=3.8"
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dependencies = []
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[tool.hatch.version]
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path = "zoo_argowf_runner/__about__.py"
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[tool.hatch.envs.default]
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dependencies = [
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"PyYAML",
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"hera",
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"cwl-utils",
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"click",
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"cwl-utils==0.14",
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"attrs",
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"loguru",
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]

tests/__init__.py

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tests/tests_water_bodies.py

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import os
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import unittest
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from tests.water_bodies.service import water_bodies
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class TestWaterBodiesService(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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class ZooStub(object):
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def __init__(self):
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self.SERVICE_SUCCEEDED = 3
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self.SERVICE_FAILED = 4
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def update_status(self, conf, progress):
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print(f"Status {progress}")
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def _(self, message):
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print(f"invoked _ with {message}")
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try:
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import zoo
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except ImportError:
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print("Not running in zoo instance")
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zoo = ZooStub()
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os.environ["ARGO_WF_ENDPOINT"] = "http://localhost:2746"
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os.environ["ARGO_WF_TOKEN"] = (
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""
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)
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os.environ["ARGO_WF_SYNCHRONIZATION_CM"] = "semaphore-water-bodies"
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cls.zoo = zoo
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conf = {}
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conf["lenv"] = {"message": ""}
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conf["lenv"] = {"Identifier": "water-bodies", "usid": "1234"}
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conf["tmpPath"] = "/tmp"
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conf["main"] = {"tmpUrl": "http://localhost/logs/", "namespace": "ns1"}
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cls.conf = conf
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inputs = {
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"aoi": {"value": "-121.399,39.834,-120.74,40.472"},
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"bands": {"value": ["green", "nir"]},
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"epsg": {"value": "EPSG:4326"},
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"stac_items": {
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"value": [
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"https://earth-search.aws.element84.com/v1/collections/sentinel-2-l2a/items/S2A_10TFK_20210708_0_L2A", # noqa
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]
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},
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}
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cls.inputs = inputs
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outputs = {"Result": {"value": ""}}
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cls.outputs = outputs
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def test_execution(self):
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exit_code = water_bodies(
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conf=self.conf, inputs=self.inputs, outputs=self.outputs
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)
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self.assertEqual(exit_code, self.zoo.SERVICE_SUCCEEDED)

tests/water_bodies/__init__.py

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