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To reference or cite the objects present in the Software Heritage archive, permalinks based on SoftWare Hash IDentifiers (SWHIDs) must be used.
Select below a type of object currently browsed in order to display its associated SWHID and permalink.

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swh:1:cnt:041cbbdf3bced4102c605fc053616457e0f4f8cb

This interface enables to generate software citations, provided that the root directory of browsed objects contains a citation.cff or codemeta.json file.
Select below a type of object currently browsed in order to generate citations for them.

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Generate software citation in BibTex format (requires biblatex-software package)
Generating citation ...
version: 2.1
executors:
  uvdata-executor:
      machine:
        image: ubuntu-2004:202101-01
      shell: /bin/bash -leo pipefail
orbs:
  codecov: codecov/codecov@3.2.4 # to get this to work, had to opt-in to using third party orbs in Organization Security settings.
jobs:
  pyuvdata:
    executor: uvdata-executor
    parameters:
      python_version:
        type: string
      env_name:
        type: string
    environment:
      PYTHON: << parameters.python_version >>
      ENV_NAME: << parameters.env_name >>
      OS: "linux"
      # Circleci builds fail on forks because the version gets munged. (see #1029)
      SETUPTOOLS_SCM_PRETEND_VERSION: "0.0.1"
    steps:
      - checkout
      - restore_cache:
          key: deps-{{ .Branch }}-{{ checksum "ci/pyuvdata_tests.yml" }}
      - run:
          name: Install Micromamba
          command: wget -qO- https://micro.mamba.pm/api/micromamba/linux-64/latest | sudo tar -C / -xvj bin/micromamba
      - run:
          name: configure conda environment
          command: |
            micromamba info
            # need these to add gxx and gcc to build novas and cython
            micromamba create --name=${ENV_NAME}  python=$PYTHON gxx gcc -f ci/${ENV_NAME}.yml -yq
      - run:
          name: Verify Mamba Config
          command: |
            source ./ci/_activate_current_env.sh
            micromamba list -n ${ENV_NAME}
            # check that the python version matches the desired one; exit immediately if not
            PYVER=`python -c "import sys; print('{:d}.{:d}'.format(sys.version_info.major, sys.version_info.minor))"`
            if [[ $PYVER != $PYTHON ]]; then
              exit 1;
            fi
      - run:
          name: install
          command: |
            source ./ci/_activate_current_env.sh
            CFLAGS="-DCYTHON_TRACE=1 -DCYTHON_TRACE_NOGIL=1" pip install .
      - run:
          name: run pyuvdata tests
          command: |
            source ./ci/_activate_current_env.sh
            mkdir test-reports
            mkdir -p empty
            cd empty
            python -m pytest --pyargs pyuvdata -n 2 --dist=loadfile --cov=pyuvdata --cov-config="../.coveragerc" --cov-report xml:".././coverage.xml" --junitxml="../test-reports/xunit.xml"
            cd ..
      - save_cache:
          key: deps-{{ .Branch }}-{{ checksum "ci/pyuvdata_tests.yml" }}
          paths:
            - "/opt/conda/envs/${ENV_NAME}/"
      - store_test_results:
          path: test-reports
      - store_artifacts:
          path: test-reports
      - codecov/upload:
          file: ./coverage.xml

  doctest:
    executor: uvdata-executor
    parameters:
      python_version:
        type: string
      env_name:
        type: string
    environment:
      PYTHON: << parameters.python_version >>
      ENV_NAME: << parameters.env_name >>
      OS: "linux"
      # Circleci builds fail on forks because the version gets munged. (see #1029)
      SETUPTOOLS_SCM_PRETEND_VERSION: "0.0.1"
    steps:
      - checkout
      - restore_cache:
          key: deps-{{ .Branch }}-{{ checksum "ci/pyuvdata_tests.yml" }}
      - run:
          name: Install Micromamba
          command: wget -qO- https://micro.mamba.pm/api/micromamba/linux-64/latest | sudo tar -C / -xvj bin/micromamba
      - run:
          name: configure conda environment
          command: |
            micromamba info
            # need these to add gxx and gcc to build novas and cython
            micromamba create --name=${ENV_NAME}  python=$PYTHON gxx gcc -f ci/${ENV_NAME}.yml -yq
      - run:
          name: Verify Mamba Config
          command: |
            source ./ci/_activate_current_env.sh
            micromamba list -n ${ENV_NAME}
            # check that the python version matches the desired one; exit immediately if not
            PYVER=`python -c "import sys; print('{:d}.{:d}'.format(sys.version_info.major, sys.version_info.minor))"`
            if [[ $PYVER != $PYTHON ]]; then
              exit 1;
            fi
      - run:
          name: install
          command: |
            source ./ci/_activate_current_env.sh
            pip install -e .
      - run:
          name: run tutorial tests
          command: |
            source ./ci/_activate_current_env.sh
            cd docs
            python -m pytest -n auto --doctest-glob="*.rst" -W "error::DeprecationWarning"
            cd ..
      - save_cache:
          key: deps-{{ .Branch }}-{{ checksum "ci/pyuvdata_tests.yml" }}
          paths:
            - "/opt/conda/envs/${ENV_NAME}/"

workflows:
  version: 2
  build_and_test:
    jobs:
      - pyuvdata:
          name: pyuvdata_3.8
          python_version: "3.8"
          env_name: "pyuvdata_tests"
      - pyuvdata:
          name: pyuvdata_3.9
          python_version: "3.9"
          env_name: "pyuvdata_tests"
      - pyuvdata:
          name: pyuvdata_3.10
          python_version: "3.10"
          env_name: "pyuvdata_tests"
      - pyuvdata:
          name: pyuvdata_3.11
          python_version: "3.11"
          env_name: "pyuvdata_tests_311"
      - pyuvdata:
          name: pyuvdata_min_deps
          python_version: "3.9"
          env_name: "pyuvdata_min_deps_tests"
      - pyuvdata:
          name: pyuvdata_min_versions
          python_version: "3.8"
          env_name: "pyuvdata_min_versions_tests"
      - doctest:
          python_version: "3.9"
          env_name: "pyuvdata_tests"

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