From 4001849b818ced1f247f4257237d77ae263861f6 Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Tue, 3 Dec 2024 19:01:45 +0100 Subject: [PATCH 01/24] use python 3.13 --- .binder/environment-python_and_r.yml | 2 +- .binder/environment.yml | 2 ++ 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/.binder/environment-python_and_r.yml b/.binder/environment-python_and_r.yml index c282827e..d2dcf1d7 100644 --- a/.binder/environment-python_and_r.yml +++ b/.binder/environment-python_and_r.yml @@ -2,7 +2,7 @@ name: IOOS channels: - conda-forge dependencies: - - python=3.12 + - python=3.13 - bagit - bokeh - cartopy diff --git a/.binder/environment.yml b/.binder/environment.yml index 89ec9ace..210ff2ad 100644 --- a/.binder/environment.yml +++ b/.binder/environment.yml @@ -3,6 +3,8 @@ channels: - conda-forge dependencies: - python=3.13 + - bagit + - bokeh - cartopy - cf_xarray - cf-units From 2cdb665db00de792324681c67cbf64f4f3961c1d Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Wed, 11 Dec 2024 20:04:56 +0100 Subject: [PATCH 02/24] trim the env a bit --- .binder/conda-lock.yml | 43886 ++++++---------- .binder/environment-python_and_r.yml | 77 +- .../test_data_management_notebooks.yml | 5 +- 3 files changed, 14903 insertions(+), 29065 deletions(-) diff --git a/.binder/conda-lock.yml b/.binder/conda-lock.yml index 20bc8224..ed75b231 100644 --- a/.binder/conda-lock.yml +++ b/.binder/conda-lock.yml @@ -9,26 +9,34 @@ # To update a single package to the latest version compatible with the version constraints in the source: # conda-lock lock --lockfile conda-lock.yml --update PACKAGE # To re-solve the entire environment, e.g. after changing a version constraint in the source file: -# conda-lock -f environment.yml -f environment-python_and_r.yml --lockfile conda-lock.yml +# conda-lock -f environment-python_and_r.yml --lockfile conda-lock.yml version: 1 metadata: content_hash: - 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name: _libgcc_mutex version: '0.1' manager: conda @@ -112,19 +120,6 @@ package: sha256: 712c1875bcd32674e8ce2f418f0b2875ecb98e6bcbb21ec7502dae8ff4b0f73c category: main optional: false -- name: accessible-pygments - version: 0.0.4 - manager: conda - platform: osx-arm64 - dependencies: - pygments: '' - python: '>=3.6' - url: https://conda.anaconda.org/conda-forge/noarch/accessible-pygments-0.0.4-pyhd8ed1ab_0.conda - hash: - md5: 46a2e6e3dfa718ce3492018d5a110dd6 - sha256: ce532e2da08fb2b77df281e3d42e2b2131641bdd6a6e8127f3718ae6860bd70d - category: main - optional: false - name: accessible-pygments version: 0.0.5 manager: conda @@ -143,11 +138,11 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.7' - url: https://conda.anaconda.org/conda-forge/noarch/affine-2.4.0-pyhd8ed1ab_0.conda + python: '>=3.9' + url: https://conda.anaconda.org/conda-forge/noarch/affine-2.4.0-pyhd8ed1ab_1.conda hash: - md5: ae5f4ad87126c55ba3f690ef07f81d64 - sha256: fbf0288cae7c6e5005280436ff73c95a36c5a4c978ba50175cc8e3eb22abc5f9 + md5: 8c4061f499edec6b8ac7000f6d586829 + sha256: 0deeaf0c001d5543719db9b2686bc1920c86c7e142f9bec74f35e1ce611b1fc2 category: main optional: false - 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md5: bd132ba98f3fc0a6067f355f8efe4cb6 - sha256: 2685dde42478fae0780fba5d1f8a06896a676ae105f215d32c9f9e76f3c6d8fd + md5: 27fe151b0b0752c1ad1c47106855efd9 + sha256: 4b976b0c6f5c1a2c94c5351fbc02b1cad44dbeaf2e288986827e8b2183a14ce6 category: main optional: false - name: zstandard @@ -42090,16 +27983,16 @@ package: platform: win-64 dependencies: cffi: '>=1.11' - python: '>=3.12,<3.13.0a0' - python_abi: 3.12.* + python: '>=3.13.0rc1,<3.14.0a0' + python_abi: 3.13.* ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vc14_runtime: '>=14.29.30139' zstd: '>=1.5.6,<1.6.0a0' - url: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.23.0-py312h7606c53_1.conda + url: https://conda.anaconda.org/conda-forge/win-64/zstandard-0.23.0-py313h574b89f_1.conda hash: - md5: a92cc3435b2fd6f51463f5a4db5c50b1 - sha256: 3e0c718aa18dcac7f080844dbe0aea41a9cea75083019ce02e8a784926239826 + md5: 8e017aca933f4dd25491151edd3e7820 + sha256: 1d2744ec0e91da267ce749e19142081472539cb140a7dad0646cd249246691fe category: main optional: false - name: zstd @@ -42129,19 +28022,6 @@ package: sha256: efa04a98cb149643fa54c4dad5a0179e36a5fbc88427ea0eec88ceed87fd0f96 category: main optional: false -- name: zstd - version: 1.5.6 - manager: conda - platform: osx-arm64 - dependencies: - __osx: '>=11.0' - libzlib: '>=1.2.13,<1.3.0a0' - url: https://conda.anaconda.org/conda-forge/osx-arm64/zstd-1.5.6-hb46c0d2_0.conda - hash: - md5: d96942c06c3e84bfcc5efb038724a7fd - sha256: 2d4fd1ff7ee79cd954ca8e81abf11d9d49954dd1fef80f27289e2402ae9c2e09 - category: main - optional: false - name: zstd version: 1.5.6 manager: conda diff --git a/.binder/environment-python_and_r.yml b/.binder/environment-python_and_r.yml index d2dcf1d7..25cfa373 100644 --- a/.binder/environment-python_and_r.yml +++ b/.binder/environment-python_and_r.yml @@ -6,99 +6,56 @@ dependencies: - bagit - bokeh - cartopy - - cc-plugin-glider - - cc-plugin-ncei - cf_xarray - - cftime + - cf-units - ckanapi - compliance-checker - - dask - - descartes - - easyargs - erddapy - - flake8 - folium - - geodatasets - - geojson - - geojsonio - - geolinks + - gdal - geopandas - geoplot - - gliderpy - gridgeo - humanize - - hvplot - - intake - ioos_qc + - ioos_tools - ioos-metrics - ipyleaflet - - joblib + - ipywidgets - jupyter - jupyter-book >=0.12.1 - jupyterlab - - matplotlib-base + - lxml + - matplotlib - nbclassic - - nbdime - - nbval - - nc-time-axis - - nco + - netcdf4 + - numpy - oceans - - oct2py - odvc - - openpyxl + - owslib - palettable - - phantomjs - - pocean-core >=3.1 - - pre-commit - - pyarrow + - pandas + - pocean-core - pyobis - pyoos - - pyresample - pysgrid - - pytest - pyugrid - pyworms - - rasterio - - seaborn - - selenium - - sensorml2iso - - simplekml - - siphon - - sympy - - tabulate - - thredds_crawler + - requests + - retrying + - seawater + - shapely - tqdm - - utide - - windrose - xarray - - xmltodict - zarr # R packages. - - rpy2 - r-base=4 - r-dplyr - - r-dt - - r-finch - - r-ggfortify - - r-ggplot2 - - r-gsw - r-htmlwidgets - - r-httr - - r-irkernel - - r-lubridate - - r-mapdata - - r-ncdf4 - - r-obistools - - r-oce - - r-rcolorbrewer - r-readr - - r-rerddap - - r-reshape2 - - r-robis>=2.3.9 - - r-sp - - r-xtractomatic - - r-xts + - r-robis # hoding osx-arm64 platforms: - linux-64 - osx-64 + # - osx-arm64 - win-64 diff --git a/.github/workflows/test_data_management_notebooks.yml b/.github/workflows/test_data_management_notebooks.yml index 749584a9..19551247 100644 --- a/.github/workflows/test_data_management_notebooks.yml +++ b/.github/workflows/test_data_management_notebooks.yml @@ -20,5 +20,6 @@ jobs: - name: Notebook tests shell: bash -l {0} - run: | - python -m pytest --nbval --nbval-lax jupyterbook/content/code_gallery/data_management_notebooks/ + run: > + micromamba install nbval + && python -m pytest --nbval --nbval-lax jupyterbook/content/code_gallery/data_management_notebooks/ From a3068aec7e4ebe0d98519e5a558814ad64eaac5f Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Fri, 13 Dec 2024 09:00:28 +0100 Subject: [PATCH 03/24] re-lock --- .binder/conda-lock.yml | 1016 ++++++++++++++++++++-------------------- 1 file changed, 505 insertions(+), 511 deletions(-) diff --git a/.binder/conda-lock.yml b/.binder/conda-lock.yml index ed75b231..351e22f9 100644 --- a/.binder/conda-lock.yml +++ b/.binder/conda-lock.yml @@ -1650,16 +1650,17 @@ package: manager: conda platform: linux-64 dependencies: - libgcc-ng: '>=12' - libstdcxx-ng: '>=12' + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + libstdcxx: '>=13' libzlib: '>=1.3.1,<2.0a0' - lz4-c: '>=1.9.3,<1.10.0a0' - snappy: '>=1.2.0,<1.3.0a0' + lz4-c: '>=1.10.0,<1.11.0a0' + snappy: '>=1.2.1,<1.3.0a0' zstd: '>=1.5.6,<1.6.0a0' - url: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-hef167b5_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda hash: - md5: 54fe76ab3d0189acaef95156874db7f9 - sha256: 6cc260f9c6d32c5e728a2099a52fdd7ee69a782fff7b400d0606fcd32e0f5fd1 + md5: 2c2fae981fd2afd00812c92ac47d023d + sha256: e7af5d1183b06a206192ff440e08db1c4e8b2ca1f8376ee45fb2f3a85d4ee45d category: main optional: false - name: blosc @@ -1668,15 +1669,15 @@ package: platform: osx-64 dependencies: __osx: '>=10.13' - libcxx: '>=16' + libcxx: '>=18' libzlib: '>=1.3.1,<2.0a0' - lz4-c: '>=1.9.3,<1.10.0a0' - snappy: '>=1.2.0,<1.3.0a0' + lz4-c: '>=1.10.0,<1.11.0a0' + snappy: '>=1.2.1,<1.3.0a0' zstd: '>=1.5.6,<1.6.0a0' - url: https://conda.anaconda.org/conda-forge/osx-64/blosc-1.21.6-h7d75f6d_0.conda + url: https://conda.anaconda.org/conda-forge/osx-64/blosc-1.21.6-hd145fbb_1.conda hash: - md5: 3e5669e51737d04f4806dd3e8c424663 - sha256: 65e5f5dd3d68ed0d9d35e79d64f8141283cad2b55dcd9a04480ceea0e436aca8 + md5: 717852102c68a082992ce13a53403f9d + sha256: 876bdb1947644b4408f498ac91c61f1f4987d2c57eb47c0aba0d5ee822cd7da9 category: main optional: false - name: blosc @@ -1685,16 +1686,16 @@ package: platform: win-64 dependencies: libzlib: '>=1.3.1,<2.0a0' - lz4-c: '>=1.9.3,<1.10.0a0' - snappy: '>=1.2.0,<1.3.0a0' + lz4-c: '>=1.10.0,<1.11.0a0' + snappy: '>=1.2.1,<1.3.0a0' ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vc14_runtime: '>=14.29.30139' zstd: '>=1.5.6,<1.6.0a0' - url: https://conda.anaconda.org/conda-forge/win-64/blosc-1.21.6-h85f69ea_0.conda + url: https://conda.anaconda.org/conda-forge/win-64/blosc-1.21.6-hfd34d9b_1.conda hash: - md5: 2390269374fded230fcbca8332a4adc0 - sha256: 1289853b41df5355f45664f1cb015c868df1f570cf743e9e4a5bda8efe8c42fa + md5: 357d7be4146d5fec543bfaa96a8a40de + sha256: 9303a7a0e03cf118eab3691013f6d6cbd1cbac66efbc70d89b20f5d0145257c0 category: main optional: false - 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url: https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-bibtex-2.6.3-pyhd8ed1ab_0.conda + pybtex-docutils: '>=1' + python: '>=3.6' + sphinx: '>=2.1' + url: https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-bibtex-2.5.0-pyhd8ed1ab_0.tar.bz2 hash: - md5: 2925be8d19542dd116775f1b9c55bb50 - sha256: 49bac08adb8ae32197c7b9b13219f91332b60e69771122f870c79abcf5611a55 + md5: b2e5c9aece936ebf9f26abdf71ddd74b + sha256: d5b02d285909b4501a469857b1a88a91a849d5f28bbe64b9e6c3e86d2388d345 category: main optional: false - name: sphinxcontrib-bibtex - version: 2.6.3 + version: 2.5.0 manager: conda platform: osx-64 dependencies: - python: '>=3.7' - importlib-metadata: '>=3.6' + dataclasses: '' + python: '>=3.6' pybtex: '>=0.24' - docutils: '>=0.8,!=0.18.*,!=0.19.*' - sphinx: '>=3.5' - pybtex-docutils: '>=1.0.0' - url: https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-bibtex-2.6.3-pyhd8ed1ab_0.conda + importlib_metadata: '>=3.6' + docutils: '>=0.8' + pybtex-docutils: '>=1' + sphinx: '>=2.1' + url: https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-bibtex-2.5.0-pyhd8ed1ab_0.tar.bz2 hash: - md5: 2925be8d19542dd116775f1b9c55bb50 - sha256: 49bac08adb8ae32197c7b9b13219f91332b60e69771122f870c79abcf5611a55 + md5: b2e5c9aece936ebf9f26abdf71ddd74b + sha256: d5b02d285909b4501a469857b1a88a91a849d5f28bbe64b9e6c3e86d2388d345 category: main optional: false - name: sphinxcontrib-bibtex - version: 2.6.3 + version: 2.5.0 manager: conda platform: win-64 dependencies: - python: '>=3.7' - importlib-metadata: '>=3.6' + dataclasses: '' + python: '>=3.6' pybtex: '>=0.24' - docutils: '>=0.8,!=0.18.*,!=0.19.*' - sphinx: '>=3.5' - pybtex-docutils: '>=1.0.0' - url: https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-bibtex-2.6.3-pyhd8ed1ab_0.conda + importlib_metadata: '>=3.6' + docutils: '>=0.8' + pybtex-docutils: '>=1' + sphinx: '>=2.1' + url: https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-bibtex-2.5.0-pyhd8ed1ab_0.tar.bz2 hash: - md5: 2925be8d19542dd116775f1b9c55bb50 - sha256: 49bac08adb8ae32197c7b9b13219f91332b60e69771122f870c79abcf5611a55 + md5: b2e5c9aece936ebf9f26abdf71ddd74b + sha256: d5b02d285909b4501a469857b1a88a91a849d5f28bbe64b9e6c3e86d2388d345 category: main optional: false - name: sphinxcontrib-devhelp @@ -26748,11 +26774,11 @@ package: manager: conda platform: linux-64 dependencies: - python: '>=3.8' - url: https://conda.anaconda.org/conda-forge/noarch/validators-0.34.0-pyhd8ed1ab_0.conda + python: '>=3.9' + url: https://conda.anaconda.org/conda-forge/noarch/validators-0.34.0-pyhd8ed1ab_1.conda hash: - md5: ccd16ea42088e0534416cba95dc371db - sha256: a34bb97fdd82ec3d7b632f82b6191081a36df2f5bb6f343ddb389bdf5a83b7d3 + md5: 0c40545340d79ec56e0edb24d724fe5d + sha256: cdcec7633b66c66fb23d9e1312f329b4fbc0839ad85c3a9598eb662bbf1f73d2 category: main optional: false - name: validators @@ -26760,11 +26786,11 @@ package: manager: conda platform: osx-64 dependencies: - python: '>=3.8' - url: https://conda.anaconda.org/conda-forge/noarch/validators-0.34.0-pyhd8ed1ab_0.conda + python: '>=3.9' + url: https://conda.anaconda.org/conda-forge/noarch/validators-0.34.0-pyhd8ed1ab_1.conda hash: - md5: ccd16ea42088e0534416cba95dc371db - sha256: a34bb97fdd82ec3d7b632f82b6191081a36df2f5bb6f343ddb389bdf5a83b7d3 + md5: 0c40545340d79ec56e0edb24d724fe5d + sha256: cdcec7633b66c66fb23d9e1312f329b4fbc0839ad85c3a9598eb662bbf1f73d2 category: main optional: false - name: validators @@ -26772,11 +26798,11 @@ package: manager: conda platform: win-64 dependencies: - python: '>=3.8' - url: https://conda.anaconda.org/conda-forge/noarch/validators-0.34.0-pyhd8ed1ab_0.conda + python: '>=3.9' + url: https://conda.anaconda.org/conda-forge/noarch/validators-0.34.0-pyhd8ed1ab_1.conda hash: - md5: ccd16ea42088e0534416cba95dc371db - sha256: a34bb97fdd82ec3d7b632f82b6191081a36df2f5bb6f343ddb389bdf5a83b7d3 + md5: 0c40545340d79ec56e0edb24d724fe5d + sha256: cdcec7633b66c66fb23d9e1312f329b4fbc0839ad85c3a9598eb662bbf1f73d2 category: main optional: false - name: vc @@ -27649,23 +27675,6 @@ package: sha256: ce1bd60d9bad89eda89c3f2d094d1f5db67e271ab35d2f74b445dc98a9e38f76 category: main optional: false -- name: xz - version: 5.6.3 - manager: conda - platform: win-64 - dependencies: - liblzma: 5.6.3 - liblzma-devel: 5.6.3 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vc14_runtime: '>=14.29.30139' - xz-tools: 5.6.3 - url: https://conda.anaconda.org/conda-forge/win-64/xz-5.6.3-h208afaa_1.conda - hash: - md5: fce59c05fc73134677e81b7b8184b397 - sha256: 636687c7ff74e37e464b57ddddc921016713f13fb48126ba8db426eb2d978392 - category: main - optional: false - name: xz-gpl-tools version: 5.6.3 manager: conda @@ -27720,21 +27729,6 @@ package: sha256: aa025a3b2547e80b1c84732ff6a380f288c505f334411122ef7945378ccd682b category: main optional: false -- name: xz-tools - version: 5.6.3 - manager: conda - platform: win-64 - dependencies: - liblzma: 5.6.3 - ucrt: '>=10.0.20348.0' - vc: '>=14.2,<15' - vc14_runtime: '>=14.29.30139' - url: https://conda.anaconda.org/conda-forge/win-64/xz-tools-5.6.3-h2466b09_1.conda - hash: - md5: 4100be41430c9b2310468d3489597071 - sha256: 0cb621f748ec0b9b5edafb9a15e342f6f6f42a3f462ab0276c821a35e8bf39c0 - category: main - optional: false - name: yaml version: 0.2.5 manager: conda From c86f6d78d77853f7bcd44abda84506ac73fac820 Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Fri, 13 Dec 2024 11:04:54 +0100 Subject: [PATCH 04/24] update GHA, fix versions, slim envs when possible --- .github/workflows/deploy-docs.yml | 16 ++++------ .github/workflows/docs-linkchecker.yml | 32 +++++++++++++++++++ .github/workflows/test-env.yml | 9 ++---- .../workflows/test_data_access_notebooks.yml | 7 ++-- ...a_analysis_and_visualization_notebooks.yml | 7 ++-- .../test_data_management_notebooks.yml | 4 +-- 6 files changed, 51 insertions(+), 24 deletions(-) create mode 100644 .github/workflows/docs-linkchecker.yml diff --git a/.github/workflows/deploy-docs.yml b/.github/workflows/deploy-docs.yml index 900a9c30..c3ec1d08 100644 --- a/.github/workflows/deploy-docs.yml +++ b/.github/workflows/deploy-docs.yml @@ -10,25 +10,23 @@ jobs: runs-on: ubuntu-latest steps: - - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4 + - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 - - name: Setup Micromamba - uses: mamba-org/setup-micromamba@068f1ab4b37ed9b3d9f73da7db90a0cda0a48d29 #v1 + - name: Set up Python + uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0 with: - environment-name: IOOS - init-shell: bash - create-args: >- - --file .binder/conda-lock.yml + python-version: "3.x" + - name: Build documentation - shell: bash -l {0} run: > set -e + && pip install jupyter-book && jupyter-book build jupyterbook - name: GitHub Pages action if: github.ref == 'refs/heads/main' - uses: peaceiris/actions-gh-pages@4f9cc6602d3f66b9c108549d475ec49e8ef4d45e #v4 + uses: peaceiris/actions-gh-pages@4f9cc6602d3f66b9c108549d475ec49e8ef4d45e # v4.0.0 with: github_token: ${{ secrets.GITHUB_TOKEN }} publish_dir: jupyterbook/_build/html diff --git a/.github/workflows/docs-linkchecker.yml b/.github/workflows/docs-linkchecker.yml new file mode 100644 index 00000000..a6d0a797 --- /dev/null +++ b/.github/workflows/docs-linkchecker.yml @@ -0,0 +1,32 @@ +name: Build and Deploy docs + +on: + pull_request: + push: + branches: [main] + +jobs: + build-docs: + runs-on: ubuntu-latest + + steps: + - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 + + - name: Set up Python + uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0 + with: + python-version: "3.x" + + + - name: Build documentation + run: > + set -e + && pip install jupyter-book + && jupyter-book build jupyterbook --builder linkcheck + + - name: GitHub Pages action + if: github.ref == 'refs/heads/main' + uses: peaceiris/actions-gh-pages@4f9cc6602d3f66b9c108549d475ec49e8ef4d45e # v4.0.0 + with: + github_token: ${{ secrets.GITHUB_TOKEN }} + publish_dir: jupyterbook/_build/html diff --git a/.github/workflows/test-env.yml b/.github/workflows/test-env.yml index ad26f13d..1d61d20b 100644 --- a/.github/workflows/test-env.yml +++ b/.github/workflows/test-env.yml @@ -15,10 +15,10 @@ jobs: shell: bash -l {0} steps: - - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4 + - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 - name: Setup Micromamba - uses: mamba-org/setup-micromamba@068f1ab4b37ed9b3d9f73da7db90a0cda0a48d29 #v1 + uses: mamba-org/setup-micromamba@068f1ab4b37ed9b3d9f73da7db90a0cda0a48d29 # v2.0.3 with: environment-name: IOOS init-shell: bash @@ -28,8 +28,3 @@ jobs: - name: Test environment run: > python -c 'import osgeo.gdal; print(dir(osgeo.gdal))' - - - name: Test links - if: startsWith(matrix.os, 'ubuntu') - run: > - jupyter-book build jupyterbook --builder linkcheck diff --git a/.github/workflows/test_data_access_notebooks.yml b/.github/workflows/test_data_access_notebooks.yml index 1d9b7bc4..d7ffd786 100644 --- a/.github/workflows/test_data_access_notebooks.yml +++ b/.github/workflows/test_data_access_notebooks.yml @@ -8,10 +8,10 @@ jobs: runs-on: ubuntu-latest steps: - - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4 + - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 - name: Setup Micromamba - uses: mamba-org/setup-micromamba@068f1ab4b37ed9b3d9f73da7db90a0cda0a48d29 #v1 + uses: mamba-org/setup-micromamba@068f1ab4b37ed9b3d9f73da7db90a0cda0a48d29 # v2.0.3 with: environment-name: IOOS init-shell: bash @@ -20,5 +20,6 @@ jobs: - name: Notebook tests shell: bash -l {0} - run: | + run: > + && micromamba install nbval python -m pytest --nbval --nbval-lax jupyterbook/content/code_gallery/data_access_notebooks/ diff --git a/.github/workflows/test_data_analysis_and_visualization_notebooks.yml b/.github/workflows/test_data_analysis_and_visualization_notebooks.yml index ed9ffcb5..09355fa7 100644 --- a/.github/workflows/test_data_analysis_and_visualization_notebooks.yml +++ b/.github/workflows/test_data_analysis_and_visualization_notebooks.yml @@ -8,10 +8,10 @@ jobs: runs-on: ubuntu-latest steps: - - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4 + - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 - name: Setup Micromamba - uses: mamba-org/setup-micromamba@068f1ab4b37ed9b3d9f73da7db90a0cda0a48d29 #v1 + uses: mamba-org/setup-micromamba@068f1ab4b37ed9b3d9f73da7db90a0cda0a48d29 # v2.0.3 with: environment-name: IOOS init-shell: bash @@ -20,5 +20,6 @@ jobs: - name: Notebook tests shell: bash -l {0} - run: | + run: > + && micromamba install nbval python -m pytest --nbval --nbval-lax jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/ diff --git a/.github/workflows/test_data_management_notebooks.yml b/.github/workflows/test_data_management_notebooks.yml index 19551247..7bcea188 100644 --- a/.github/workflows/test_data_management_notebooks.yml +++ b/.github/workflows/test_data_management_notebooks.yml @@ -8,10 +8,10 @@ jobs: runs-on: ubuntu-latest steps: - - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4 + - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 - name: Setup Micromamba - uses: mamba-org/setup-micromamba@068f1ab4b37ed9b3d9f73da7db90a0cda0a48d29 #v1 + uses: mamba-org/setup-micromamba@068f1ab4b37ed9b3d9f73da7db90a0cda0a48d29 # v2.0.3 with: environment-name: IOOS init-shell: bash From 0c6d7547671baa92a82320c8a943b6fbb6848c5c Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Fri, 13 Dec 2024 11:07:47 +0100 Subject: [PATCH 05/24] redux --- .binder/environment-python_and_r.yml | 6 +----- .binder/environment.yml | 2 -- 2 files changed, 1 insertion(+), 7 deletions(-) diff --git a/.binder/environment-python_and_r.yml b/.binder/environment-python_and_r.yml index 25cfa373..0aee25ca 100644 --- a/.binder/environment-python_and_r.yml +++ b/.binder/environment-python_and_r.yml @@ -3,8 +3,6 @@ channels: - conda-forge dependencies: - python=3.13 - - bagit - - bokeh - cartopy - cf_xarray - cf-units @@ -23,10 +21,8 @@ dependencies: - ipyleaflet - ipywidgets - jupyter - - jupyter-book >=0.12.1 - - jupyterlab - lxml - - matplotlib + - matplotlib-core - nbclassic - netcdf4 - numpy diff --git a/.binder/environment.yml b/.binder/environment.yml index 210ff2ad..89ec9ace 100644 --- a/.binder/environment.yml +++ b/.binder/environment.yml @@ -3,8 +3,6 @@ channels: - conda-forge dependencies: - python=3.13 - - bagit - - bokeh - cartopy - cf_xarray - cf-units From d131f2dd23d99442afa121fc780e4077d0effaca Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Fri, 13 Dec 2024 11:13:26 +0100 Subject: [PATCH 06/24] fix mpl --- .binder/conda-lock.yml | 2161 ++------------------------ .binder/environment-python_and_r.yml | 2 +- 2 files changed, 137 insertions(+), 2026 deletions(-) diff --git a/.binder/conda-lock.yml b/.binder/conda-lock.yml index 351e22f9..82cc33de 100644 --- a/.binder/conda-lock.yml +++ b/.binder/conda-lock.yml @@ -13,9 +13,9 @@ version: 1 metadata: content_hash: - linux-64: 574ff5d2354660fb9bb64ddb38f05b509a85d25a345bdef9840d6ff0f50dbd29 - osx-64: 08989e6d11ea080ef616364c133074855a0b2a857f38d9ead523f5d4a1f2268f - win-64: 36af8d86d79de6be6c5a9b7e4804f000ac84183223f3669f688b1567a2ac86cf + linux-64: 0e68606fd4e7e864b491da45f67c82f388a6e7cbcb62a7b492c7bbcdc6e25415 + osx-64: bca9ab3ab146f3e9c19cbd0aa0c756084efca4554843a87cd2fed977d254cf32 + win-64: 24fd85f70d8d929f6f0797528e9a62990d7b0dcb9a4136632291cbe64fa90258 channels: - url: conda-forge used_env_vars: [] @@ -94,45 +94,6 @@ package: sha256: e58f9eeb416b92b550e824bcb1b9fb1958dee69abfe3089dfd1a9173e3a0528a category: main optional: false -- name: accessible-pygments - version: 0.0.5 - manager: conda - platform: linux-64 - dependencies: - pygments: '' - python: '>=3.9' - url: https://conda.anaconda.org/conda-forge/noarch/accessible-pygments-0.0.5-pyhd8ed1ab_0.conda - hash: - md5: 1bb1ef9806a9a20872434f58b3e7fc1a - sha256: 712c1875bcd32674e8ce2f418f0b2875ecb98e6bcbb21ec7502dae8ff4b0f73c - category: main - 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url: https://conda.anaconda.org/conda-forge/noarch/uc-micro-py-1.0.3-pyhd8ed1ab_1.conda - hash: - md5: 9c96c9876ba45368a03056ddd0f20431 - sha256: a2f837780af450d633efc052219c31378bcad31356766663fb88a99e8e4c817b - category: main - optional: false - name: ucrt version: 10.0.22621.0 manager: conda diff --git a/.binder/environment-python_and_r.yml b/.binder/environment-python_and_r.yml index 0aee25ca..569a3d86 100644 --- a/.binder/environment-python_and_r.yml +++ b/.binder/environment-python_and_r.yml @@ -22,7 +22,7 @@ dependencies: - ipywidgets - jupyter - lxml - - matplotlib-core + - matplotlib-base - nbclassic - netcdf4 - numpy From 05c4aa92de0158e0361e249184c9ad20b44cf8af Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Fri, 13 Dec 2024 11:23:25 +0100 Subject: [PATCH 07/24] update ruff --- .pre-commit-config.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index a06def53..c14ada18 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -34,7 +34,7 @@ repos: - id: add-trailing-comma - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.8.1 + rev: v0.8.3 hooks: - id: ruff From b09ffe45715efea43469f186f30bb151215dbb5f Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Fri, 13 Dec 2024 11:23:49 +0100 Subject: [PATCH 08/24] fix name --- .github/workflows/deploy-docs.yml | 2 +- .github/workflows/docs-linkchecker.yml | 4 ++-- .github/workflows/test-env.yml | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/.github/workflows/deploy-docs.yml b/.github/workflows/deploy-docs.yml index c3ec1d08..301e49ed 100644 --- a/.github/workflows/deploy-docs.yml +++ b/.github/workflows/deploy-docs.yml @@ -16,7 +16,7 @@ jobs: uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0 with: python-version: "3.x" - + - name: Build documentation run: > diff --git a/.github/workflows/docs-linkchecker.yml b/.github/workflows/docs-linkchecker.yml index a6d0a797..b31afa29 100644 --- a/.github/workflows/docs-linkchecker.yml +++ b/.github/workflows/docs-linkchecker.yml @@ -1,4 +1,4 @@ -name: Build and Deploy docs +name: Check linkrot on: pull_request: @@ -16,7 +16,7 @@ jobs: uses: actions/setup-python@0b93645e9fea7318ecaed2b359559ac225c90a2b # v5.3.0 with: python-version: "3.x" - + - name: Build documentation run: > diff --git a/.github/workflows/test-env.yml b/.github/workflows/test-env.yml index 1d61d20b..d0b63fc8 100644 --- a/.github/workflows/test-env.yml +++ b/.github/workflows/test-env.yml @@ -1,4 +1,4 @@ -name: Test Environment and link rot +name: Test Environment on: pull_request: From 2a995839e6d2bd4ec3aca55d398be7e2db174c00 Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Fri, 13 Dec 2024 11:26:28 +0100 Subject: [PATCH 09/24] downgrade macos --- .github/workflows/test-env.yml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.github/workflows/test-env.yml b/.github/workflows/test-env.yml index d0b63fc8..8d31131c 100644 --- a/.github/workflows/test-env.yml +++ b/.github/workflows/test-env.yml @@ -8,7 +8,8 @@ jobs: runs-on: ${{ matrix.os }} strategy: matrix: - os: [ macos-latest, ubuntu-latest, windows-latest ] + # macos-latest is osx-arm64 and the env is not building there yet b/c of robis. + os: [ macos-13, ubuntu-latest, windows-latest ] fail-fast: false defaults: run: From 5fda2de377083cc4683d07fdc719edac94ee4f4a Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Fri, 13 Dec 2024 11:28:53 +0100 Subject: [PATCH 10/24] fix name --- .github/workflows/docs-linkchecker.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/docs-linkchecker.yml b/.github/workflows/docs-linkchecker.yml index b31afa29..32ec8867 100644 --- a/.github/workflows/docs-linkchecker.yml +++ b/.github/workflows/docs-linkchecker.yml @@ -18,7 +18,7 @@ jobs: python-version: "3.x" - - name: Build documentation + - name: Linkcheck run: > set -e && pip install jupyter-book From 06c82afe400ed8c4332008860caf83722426822b Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Fri, 13 Dec 2024 11:30:46 +0100 Subject: [PATCH 11/24] archive bagit --- pytest.ini | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/pytest.ini b/pytest.ini index 918a25c4..71f2e100 100644 --- a/pytest.ini +++ b/pytest.ini @@ -10,9 +10,10 @@ addopts = --ignore="jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2018-03-15-ssh-skillscore.archived.ipynb" --ignore="jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2018-03-30-wave_height_assessment.archived.ipynb" # Missing library/rely on versions that are too old - --ignore="jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2017-03-30-octave_notebook_example.ipynb" --ignore="jupyterbook/content/code_gallery/data_access_notebooks/2017-09-09-hurricane_irma.ipynb" --ignore="jupyterbook/content/code_gallery/data_access_notebooks/2019-05-27-hurricane_gis_part02.ipynb" + --ignore="jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2017-03-30-octave_notebook_example.ipynb" + --ignore="jupyterbook/content/code_gallery/data_management_notebooks/2017-11-01-Creating-Archives-Using-Bagit.ipynb" # Take too long to run --ignore="jupyterbook/content/code_gallery/data_access_notebooks/2019-03-08-grids-temperature.ipynb" # Skipping all the notbooks with the R kernel From ec88a6cb81e2435bcd670e29b22228383a62f159 Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Fri, 13 Dec 2024 11:36:09 +0100 Subject: [PATCH 12/24] skip broken links --- jupyterbook/_config.yml | 2 ++ 1 file changed, 2 insertions(+) diff --git a/jupyterbook/_config.yml b/jupyterbook/_config.yml index 9ed5cc2e..1ee27138 100644 --- a/jupyterbook/_config.yml +++ b/jupyterbook/_config.yml @@ -90,6 +90,8 @@ sphinx: "./data_management_notebooks/.*", "./data_analysis_and_visualization_notebooks/.*", "https://www.ncei.noaa.gov/archive/accession/0282699", # slow + "https://gcoos4.tamu.edu/erddap/info/fk_CREMP_yearly_revisited_DATA_v3_1996/index.html", # data is gone + "https://gcoos4.tamu.edu/erddap/tabledap/fk_CREMP_yearly_revisited_DATA_v3_1996.html", # data is gone ] linkcheck_anchors_ignore: ["aboutPanel", "searchPanel", "!forum/ioos_tech"] html_show_copyright: false From d74b3cf92fd44b6bdb0f1f49efd3889dbbc639cb Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Fri, 13 Dec 2024 11:42:01 +0100 Subject: [PATCH 13/24] fix redirects --- .../2017-03-30-octave_notebook_example.ipynb | 2 +- .../2024-09-13-OBIS_EOVs.ipynb | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2017-03-30-octave_notebook_example.ipynb b/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2017-03-30-octave_notebook_example.ipynb index 5cfeedff..4bee52c3 100644 --- a/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2017-03-30-octave_notebook_example.ipynb +++ b/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2017-03-30-octave_notebook_example.ipynb @@ -106,7 +106,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "To demonstrate the Matlab/Octave notebook we will use a well known toolbox for tidal analysis [`t_tide`](https://www.eoas.ubc.ca/~rich/).\n", + "To demonstrate the Matlab/Octave notebook we will use a well known toolbox for tidal analysis [`t_tide`](https://www-old.eoas.ubc.ca/~rich/).\n", "First we need to add it to the path." ] }, diff --git a/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2024-09-13-OBIS_EOVs.ipynb b/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2024-09-13-OBIS_EOVs.ipynb index ba58a1d2..e871d673 100644 --- a/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2024-09-13-OBIS_EOVs.ipynb +++ b/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2024-09-13-OBIS_EOVs.ipynb @@ -13,7 +13,7 @@ "\n", "The Global Ocean Observing System (GOOS) is a global network of ocean observing systems led by the Intergovernmental Oceanographic Commission of UNESCO. NOAA's U.S. Integrated Ocean Observing System (IOOS) is a part of this global network. GOOS has developed Essential Ocean Variables (EOVs) to help harmonize data that is collected across various ocean observing systems around the globe. The [GOOS Biology and Ecosystems Variables](https://goosocean.org/what-we-do/framework/essential-ocean-variables/) are focused on the abundance and distribution of specific groups of aquatic organisms that are important for ecosystems. \n", "\n", - "Through the work of the [Biology - Integrating Core to Essential Variables (Bio-ICE) task team](https://doi.org/10.5281/zenodo.7335669), a [process](https://github.com/MathewBiddle/bio_ice/blob/main/create_map_from_OBIS_API.ipynb) was established to programmatically query the [Ocean Biodiversity Information System](https://www.obis.org/) API for shallow water hard corals (taxonomic order [Scleractinia](https://www.marinespecies.org/aphia.php?p=taxdetails&id=1363)) to generate a map of the density of occurrences.\n", + "Through the work of the [Biology - Integrating Core to Essential Variables (Bio-ICE) task team](https://zenodo.org/records/7335670), a [process](https://github.com/MathewBiddle/bio_ice/blob/main/create_map_from_OBIS_API.ipynb) was established to programmatically query the [Ocean Biodiversity Information System](https://www.obis.org/) API for shallow water hard corals (taxonomic order [Scleractinia](https://www.marinespecies.org/aphia.php?p=taxdetails&id=1363)) to generate a map of the density of occurrences.\n", "\n", "To build on that process, the [IOOS Marine Life Data Network](https://ioos.github.io/marine_life_data_network/) has developed an example [list of biological taxa](https://github.com/ioos/marine_life_data_network/tree/main/eov_taxonomy) that align with GOOS EOVs. The lists contain their identifiers (in this case, aphiaIDs) that can be used to query published biological occurrence data in the OBIS. The lists established for this notebook are not comprehensive and serve as an example for how one could organize AphiaIDs to programmatically query OBIS for appropriate data.\n", "\n", @@ -196,7 +196,7 @@ "\n", "References:\n", "\n", - "Erica K. Towle, Abigail Benson, Mathew Biddle, Sarah R. D. Bingo, Kaitlyn Brucker, Gabrielle Canonico, Maggie Chory, Kruti Desai, Masha Edmondson, Miguel Figuerola, Christina L. Horstmann, Susan Jackson, Jennifer Koss, Kathryn E. Lohr, J. Landrum, Laura Lorenzoni, Anderson B. Mayfield, Brian D. Melzian, Frank E. Muller-Karger, … Kimberly K. Yates. (2022). Biology: Integrating Core To Essential Variables (Bio-ICE) Task Team Report for Hard Corals. https://doi.org/10.5281/zenodo.7335670" + "Erica K. Towle, Abigail Benson, Mathew Biddle, Sarah R. D. Bingo, Kaitlyn Brucker, Gabrielle Canonico, Maggie Chory, Kruti Desai, Masha Edmondson, Miguel Figuerola, Christina L. Horstmann, Susan Jackson, Jennifer Koss, Kathryn E. Lohr, J. Landrum, Laura Lorenzoni, Anderson B. Mayfield, Brian D. Melzian, Frank E. Muller-Karger, … Kimberly K. Yates. (2022). Biology: Integrating Core To Essential Variables (Bio-ICE) Task Team Report for Hard Corals. https://zenodo.org/records/7335670" ] } ], From 60cf9ea9efc13e4763b3f0401c2389e7c25b419d Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Fri, 13 Dec 2024 11:48:48 +0100 Subject: [PATCH 14/24] fix multi-line syntax --- .github/workflows/test_data_access_notebooks.yml | 4 ++-- .../test_data_analysis_and_visualization_notebooks.yml | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/.github/workflows/test_data_access_notebooks.yml b/.github/workflows/test_data_access_notebooks.yml index d7ffd786..4ca7883e 100644 --- a/.github/workflows/test_data_access_notebooks.yml +++ b/.github/workflows/test_data_access_notebooks.yml @@ -21,5 +21,5 @@ jobs: - name: Notebook tests shell: bash -l {0} run: > - && micromamba install nbval - python -m pytest --nbval --nbval-lax jupyterbook/content/code_gallery/data_access_notebooks/ + micromamba install nbval + && python -m pytest --nbval --nbval-lax jupyterbook/content/code_gallery/data_access_notebooks/ diff --git a/.github/workflows/test_data_analysis_and_visualization_notebooks.yml b/.github/workflows/test_data_analysis_and_visualization_notebooks.yml index 09355fa7..8ef91cde 100644 --- a/.github/workflows/test_data_analysis_and_visualization_notebooks.yml +++ b/.github/workflows/test_data_analysis_and_visualization_notebooks.yml @@ -21,5 +21,5 @@ jobs: - name: Notebook tests shell: bash -l {0} run: > - && micromamba install nbval - python -m pytest --nbval --nbval-lax jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/ + micromamba install nbval + && python -m pytest --nbval --nbval-lax jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/ From 286192efda606257985e2025c5227e602ae6c5e2 Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Fri, 13 Dec 2024 12:11:44 +0100 Subject: [PATCH 15/24] add r-irkernel --- .binder/environment-python_and_r.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.binder/environment-python_and_r.yml b/.binder/environment-python_and_r.yml index 569a3d86..4f5247a1 100644 --- a/.binder/environment-python_and_r.yml +++ b/.binder/environment-python_and_r.yml @@ -46,6 +46,7 @@ dependencies: - zarr # R packages. - r-base=4 + - r-irkernel - r-dplyr - r-htmlwidgets - r-readr From e418cab0de96b212b5f1d26e7c910d69352a0e8a Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Fri, 13 Dec 2024 12:13:57 +0100 Subject: [PATCH 16/24] re-lock --- .binder/conda-lock.yml | 232 +++++++++++++++++++++++++++++++++++++---- 1 file changed, 214 insertions(+), 18 deletions(-) diff --git a/.binder/conda-lock.yml b/.binder/conda-lock.yml index 82cc33de..33aea74f 100644 --- a/.binder/conda-lock.yml +++ b/.binder/conda-lock.yml @@ -13,9 +13,9 @@ version: 1 metadata: content_hash: - 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name: r-rlang version: 1.1.4 manager: conda From ae6564b67bcc646906bf513d11cb1abaf1c45cba Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Fri, 13 Dec 2024 13:47:47 +0100 Subject: [PATCH 17/24] re-add bokeh --- .binder/environment-python_and_r.yml | 1 + .binder/environment.yml | 1 + 2 files changed, 2 insertions(+) diff --git a/.binder/environment-python_and_r.yml b/.binder/environment-python_and_r.yml index 4f5247a1..22e5e371 100644 --- a/.binder/environment-python_and_r.yml +++ b/.binder/environment-python_and_r.yml @@ -3,6 +3,7 @@ channels: - conda-forge dependencies: - python=3.13 + - bokeh - cartopy - cf_xarray - cf-units diff --git a/.binder/environment.yml b/.binder/environment.yml index 89ec9ace..18092935 100644 --- a/.binder/environment.yml +++ b/.binder/environment.yml @@ -3,6 +3,7 @@ channels: - conda-forge dependencies: - python=3.13 + - bokeh - cartopy - cf_xarray - cf-units From 9d33a01a2af07038370604004faea617e0b54065 Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Fri, 13 Dec 2024 13:47:49 +0100 Subject: [PATCH 18/24] re-lock --- .binder/conda-lock.yml | 69 ++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 66 insertions(+), 3 deletions(-) diff --git a/.binder/conda-lock.yml b/.binder/conda-lock.yml index 33aea74f..2b30cf61 100644 --- a/.binder/conda-lock.yml +++ b/.binder/conda-lock.yml @@ -13,9 +13,9 @@ version: 1 metadata: content_hash: - 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name: branca version: 0.7.2 manager: conda From 2456f6ef19e2bdd1897b5651e6d3795d54583ed7 Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Fri, 13 Dec 2024 14:09:43 +0100 Subject: [PATCH 19/24] re-add r-maps --- .binder/environment-python_and_r.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.binder/environment-python_and_r.yml b/.binder/environment-python_and_r.yml index 22e5e371..e29ac2b5 100644 --- a/.binder/environment-python_and_r.yml +++ b/.binder/environment-python_and_r.yml @@ -50,6 +50,7 @@ dependencies: - r-irkernel - r-dplyr - r-htmlwidgets + - r-maps - r-readr - r-robis # hoding osx-arm64 platforms: From 42ccce4dd95ff8036694053f1628ab20fab99e9a Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Fri, 13 Dec 2024 14:09:46 +0100 Subject: [PATCH 20/24] re-lock --- .binder/conda-lock.yml | 47 +++++++++++++++++++++++++++++++++++++++--- 1 file changed, 44 insertions(+), 3 deletions(-) diff --git a/.binder/conda-lock.yml b/.binder/conda-lock.yml index 2b30cf61..ee978963 100644 --- a/.binder/conda-lock.yml +++ b/.binder/conda-lock.yml @@ -13,9 +13,9 @@ version: 1 metadata: content_hash: - linux-64: 020cda7eebc14c2398b7897fac9596cf097fe92aa67afbcc4a9231fd9cce5950 - osx-64: 74be8105bf446f2f2b82542ccb7cbacd021768ca5338bae390b54391696a11f8 - win-64: c8d656cd37beb3f860c889d9fac6cbecf223498989952146eb3386cea2049624 + linux-64: 86d9e607c8f3ff4161c3c3710d2e5cde986581474bc4d2cd4df55f0dae2b70c1 + osx-64: 1ea1ad5cf7861489dc419dcff2d532cfd977b92114f342a70b56bc2225337fa1 + win-64: 5af5c704ef434dfdde03699df27c3fd7d8062d8121d7236044098d205f78a0a0 channels: - url: conda-forge used_env_vars: [] @@ -19427,6 +19427,47 @@ package: sha256: 2227bc56fa23c73f42a72a61557197a0a3df2daf267e7e5bf3d62a3a533770b6 category: main optional: false +- name: r-maps + version: 3.4.2.1 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + r-base: '>=4.3,<4.4.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/r-maps-3.4.2.1-r43h2b5f3a1_0.conda + hash: + md5: 6f0792a8c58c6597b3334775ccd0bce5 + sha256: 422e2d766c151d528bf4f31edd6602446bb6f3a74d8d900770fc0794e8481e8f + category: main + optional: false +- name: r-maps + version: 3.4.2.1 + manager: conda + platform: osx-64 + dependencies: + __osx: '>=10.13' + r-base: '>=4.3,<4.4.0a0' + url: https://conda.anaconda.org/conda-forge/osx-64/r-maps-3.4.2.1-r43h79f565e_0.conda + hash: + md5: 5f45d4dceb661ff1ae4d93c4c16a5723 + sha256: cd060233f90da654ca51960a67fe5179e56254008f7babeac4af5733317609a6 + category: main + optional: false +- name: r-maps + version: 3.4.2 + manager: conda + platform: win-64 + dependencies: + m2w64-gcc-libs: '' + m2w64-gcc-libs-core: '' + r-base: '>=4.1,<4.2.0a0' + url: https://conda.anaconda.org/conda-forge/win-64/r-maps-3.4.2-r41h6d2157b_0.conda + hash: + md5: 6459e91318c56027d56df38aca6d570a + sha256: 34b06e0069091edfe7820934564646dceabefde8760e089c5d396290b6274ebf + category: main + optional: false - name: r-mapview version: 2.11.2 manager: conda From 25b729a590740b651e93ab778fc66c7c9a39d22d Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Fri, 13 Dec 2024 15:13:29 +0100 Subject: [PATCH 21/24] add explicity maps dep --- .../2024-09-13-OBIS_EOVs.ipynb | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) diff --git a/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2024-09-13-OBIS_EOVs.ipynb b/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2024-09-13-OBIS_EOVs.ipynb index e871d673..a6aaac75 100644 --- a/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2024-09-13-OBIS_EOVs.ipynb +++ b/jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2024-09-13-OBIS_EOVs.ipynb @@ -9,7 +9,7 @@ "\n", "Created: 2024-09-13\n", "\n", - "Modified: 2024-10-29\n", + "Modified: 2024-12-13\n", "\n", "The Global Ocean Observing System (GOOS) is a global network of ocean observing systems led by the Intergovernmental Oceanographic Commission of UNESCO. NOAA's U.S. Integrated Ocean Observing System (IOOS) is a part of this global network. GOOS has developed Essential Ocean Variables (EOVs) to help harmonize data that is collected across various ocean observing systems around the globe. The [GOOS Biology and Ecosystems Variables](https://goosocean.org/what-we-do/framework/essential-ocean-variables/) are focused on the abundance and distribution of specific groups of aquatic organisms that are important for ecosystems. \n", "\n", @@ -36,6 +36,7 @@ "source": [ "library(readr)\n", "library(robis)\n", + "library(maps)\n", "library(dplyr, warn.conflicts = FALSE)\n", "library(htmlwidgets)" ] @@ -165,7 +166,7 @@ "outputs": [ { "data": { - "image/png": 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6JbbmfakzTPy/UbNt77JKkLslclUuCgPIk0vA3u+fk5bfIRIn37dnh6Cp0vDfhL\noR61GbNXzqa6JUbLTSPv7+/v994i+ZqESAHRQwfn7Uikr/f3sibJiVTnd/dkCW/Ef487EKk/\nARqgvtQ9mEt5sY0yCLy/P+2R7veJLzx4fx7peMNkQ/jwvP16SGqS2GTDOb/HV0t4IwFHrlv1\npEiXff9KdejV/Pvw8Kx+PGm4es3j/rZ+/G0WIt1Yn9kQLZL7rrRgkU5HTEOTPuQp0l20SAEM\nU9hNDtqU37t1nu/Pf4ra1wdL1zRPv32s1Iv6LLkFN5F+VTz6VStS9J0N7gel64sUa9L2oRNp\ndCk/QfIhSR4sIqWZKhlOgSs7oN4M9efTb9W9EM3tee0b7TXdfqnzod0peclKT/A+tHMjXcI5\niBQyNrVD9c8PD+rASJJ8eHaHw6s+fKJJR3WHoslf/eX8VitSt7Nq7zIaNKWfbEhoEh+jCIge\nMjZ1Y/Vr9+czZfKByWlcOYdPNX1/3GlPcpo2KD/17z98+fKlOrZrRerE6lvy7fv3w/PzYx39\n9vY2mUluItVf1Zf07m+PBq4uUrA8AwYHIUIq6ZP3z209kSZnQdO2PFbPRmp+e3z9/PmLcpY5\nEenw7du379V3/laTDfvqxhLppAfJq7+vJFJEystHD7dnlmTJe2ey4h6pm4AzNOX24XF/e/7i\nnMf9/vX1tf1mt1099zAV6fC1+vLsx23lUfVt9Gl2ShzaBUSXMmdMquT9M9Gbkvgc6ahkq36Z\nn7rM7R8f7iuT6lfbCblmrep/1Sze8MjuWzW7c1d9tcFtK1ISkxApILqMNprBmyr5oGSm2SSe\nteuzb3Kofxousv/0+aTK41keVaRmzm9X3SwyaEcl0ocPj7VInz41IqUwSeqC7FWJlMQkib/y\nciJpB9tS1zQ1ydTpnKT5n+oidiuS8k2jzWqa9U9F/eNDdbnudI5Ue2Q5doxOvv1dK5L9gux1\niZTAJJHzDmPyAQn5hNdsLzJ7XS4nEZrbQR47ee4euwO76bpPT0/b+g7HPz5/rq4jne9erRcJ\nSM89+fp3rUgOF2SvSyR5k7ITSTPWFr3LZpJM5dHLS/Uc2f6L47ub8iYrnm/OqEQ6/fNpr9M0\nXfLrXZAtafq7JsIZLWlFCkjXK7wIlsvJt7//UZ/xjD4I1iw1XqW9yelU0HrC4RR9f7sfhZXc\nMTHZEBg90BcTMlPK2RzaBWH5M9CL9G3b3StuWOHx0PPnaS/252H7d3WGpJxGCZ8quYv0jnOk\nATICnWk7fe4p8DHJB6TkE14GW/j95y91kX58/j7QSPNHSBXpx58nDs3kt3png7GZIskbRXqX\n9WRDuoIYEZNoq3xtWarkQ5LyCC+DNfz++bXaw3w+i3R+VXGm+/TGQKQfrUi/f3ru5ymEZ++c\nRbrZ/Pvt5v3Ht5t/5SjSGtHlPfoa+5kKyXMkzRhbW6RKkK9//nESSe+R8seo/83tgxkAABRi\nSURBVPX1ZNKPQ3M59vOjOl2+az8YuBP4S+wz2fDL5p/Hj5u3iNQg7tEh+rNJFy9S+3VifXLf\nJyLVJvUetR8yPJ0jfX7c7w0m6Tya/74lS/JzIv2zmvrO89BujejiHsXfLCAv0mCA5SDSeHhP\nParrOC3qcb9/3lefltVcwdVvaP4bAC3JG0X6afPb+82b478QqSM7j1KItFUmurIQaYRepPGR\nXhN9cEuRDdt30o5wFqky6G011/AzIrXIipQy+aDMulXbH0oXaXRL0TypRDr+883x+LPp+ZDh\nIvmf5F2oSEmTjxBJDSGRY0D2c1hFaitbR398dPUonUheuG6+Fcmnk467ff2RxzR49aaESM3z\nG2SegSJ50+qoRzRqSRNwP8xW59FYpINb9HHrEp0jpRKpb4ZrPx33n+/vH5/3aT7suLhItUlC\nzxK6LpG2Bo8mIh1CoieZtVNv/l5zsqG+fffv6iMpn798qZ5osXt9fbWu5YVf6jImiT1wVVak\n6Z2gQml6Zm9gaxRJY5Y1emzjihJpf//jf74//vfLyaPn5+fqGUuvp4NeWZMCejOexMlLeZTY\npIC/YZ0q21mpXKJHti6bQzsH9vevX55/fP+/z5/vv5xM2u8fK4+ETQo4vognKmNl9TQiSSVq\nA5EWEunx5NHrlx//+/n585fKoyxEElEpKmNlbVGRNCtH5Wkl5BKeItKMSY8u0fXNc211iSLd\n37++fqkfn/mUg0iRJh0mz2EUTz4oL93KUnl6Za9hWL5D+wmlWZOCRKpDByWfs0j7HyeRXr88\nffi0b7+rY/VzpIZQidrOl2qCgEjtqNSuLJSmX/ZT9Bl31QwUSXNNszsu9E8+Z5FOJr1+eX39\nUD/B4vz5+2rWLulHht0I1ajteSGT4kU6PD09HXTTDBXZ3Nlgzv9O1ec//bfoBImknGF5J7+K\nSM4m7F+/vz7+nexpmRWhg+UyRKo8OplkWDkXkVwqWvHhP8ovLtFHA7EQkZ4fHpxSnEt5L35Z\n9hJFck+uFulVHTrKgdMwvPgVPFvpu752rOnhwwfVpL+mESd/wEcHr2WI9Hwf+OVASvD2SWWC\nLCzSN4++Ck/eS6RXVaTD92/fWpMG4eXPTi2l7/raoRU19SP1FZECilzCOVL1cNmw76vrg1e1\nlTYp+PAlTCRRjwRuWj28jjz6/q0zSQ1/8ujubsl5nnNfexW3+p4CRSRjmdWZleE77n2DSMbo\nnnh1cTduKyKfeOKSvFdGynr5iHT7qXrowq13he8UkUxSnL/qr/5RKvkVRPLN/WJEUqaUkifv\nntVgterIrhVJDb9NcAXPItLvgSLdKiIZKl23LnJyf81zpPbrP8NTzugcyV+kw5Iiuac3XO2g\n7JBUkZY+R6ofPRzgUW/SjEgSn7Vac9Yu8Kbno/L5rGJn7R4eDpmKNPr0RDdrNw6/5KxdnUD1\nfXsh3N3d2Us9bnd08guKFJ6y2yeGPT4NOYgehk/XHoYEbtEzeefsDGtZwgsg+/lefcHNW79C\nkdyeYXG2zXeftYBIyTy6VJGiTUpU7rnkL0ak80LeZ1HpRRpYFHYpLSR55/z0q9nCC5Buj7SA\nSRcu0rP3vF5qkZ4GHol9NtaevGuChtVs4QVIKFJ6k0oUyekcKVORhh4FbssIIhkpVKTE/Pe/\n/7Uv8/fff//37/9X8fcCKbl1Z+PRXxX/Z4GkvBM0rrdwsroU4ugvzP61cPYZ75HcqGftMjtH\nWvjPom+CpjUdwgsQfafgHHcPRe6RkuRqSHmevGbtFp468s0wJnw8SUXaOlxMkkz+4kSaR+wb\nFxx789yTqR5veZkiiZu0RPKIFBjIkbojnZ8/7UukSFHh40l3HanhDpFmU84iuk9nuj/I3Zf5\n5K3JxYWPBpEQyb2r727TeXSxIgnNNyDSbMo5RPfpzqBbAN2wJT+fWXT4SFKL1Jm0RPKIFLSW\ne2cKpzskSqT48JGI3OA0x23zVCHZu0kMySNS0FrunSmc7hBr8nGJFS/SH39UHiU5IkAkkejO\nfbly8ubERMLHkV6k3//44/PnJDskRJKJ7tyXaydvTEwmfBSpRaoO6/5I5BEiyUR37cvVk4/x\naE2RxD5KkerpoogkEt1RowySD9coV5Esbw894oN95pRziO7q0erJx3iUnUgOi0w8QiRjyjlE\nL1okwfBReIrksAgi+aScQXRXjTJIPsKjvCYbnBaairRU8ogUslK5IkmHj8FRpOpWY+Mnp2we\nOYkUcrUPkSSizwo0GLEZJO+rj2f4cFwO7eYj9OU2ieSUyGl57wcmIpJA9DmPRn2fX/LFhHfb\ngQrskE5BqqezvnhdcUIkgeiIlE/4eZEc3WiecvzDxyREio8+79HQpOySv7jwVbm70ldf7KKK\n5BjjvPQXD5MQKT46ImUXvvWo/qKxb09bP49akXx2SYgUHd3Ho+ySv9DwqkcnnkJFCr9YjUje\nayBShuEbkbo5hqfZb+yb0qz0NO69GRApOrqHRvklf7nhByIddp7fIVvN2j1p+s8IIsVHd7Yo\nLLwHRY309OEHz+P0it59G5PzGogUH91VosDwHpQ20pOHbyz6enj1FqnpQ0RaMLrz3igsvA/l\njfS04dt576etd/SZPtSCSNHRESnj8Nvt8+Hw6vdJsKb3EGnh6F4e5Zb8xYfvu8NPJN8dEiJF\nR3d2KCy8FwWO9MThA0QK8giRoqNrbziWC+9FgSM9dXhvkUIs2iFSfHREyjp81x+O0QM9QqTo\n6F4e5Zb8FYT3EynUo9VFEnBfFgGRRMN7UeRITx1+6/y0DLcu1INIkdE1R3aS4f0oc6QvE94e\nPUKj9UUSSHnd6D7HdQHh/Sh6pK9dmxiNECk6up9HmSV/TeFt0aP2R4gUG91Po8ySv6rwluiR\nHiFSXHTP/VFeyV9XeMc9klR4RPJaenqGdAnnSOvc37R6bSI0QqTo6Jco0kWGd5hskAzvLdJN\nxfnf6xPpMvdIFxl+4eT9RVL+6U1aMuU1o/t6lFXyScILHh3Jgki2lNeMzmTDCMmJL1kyF+lG\n/ReRhMP7gkhrRY8XqT1F6kT6R4XTupfASKS104H88Ngj3VztHmnntz/KLPmrCj8fPWrGThfe\nV6TWJkSaiqR7Mavkryp8tod2ynw3Iumc0b6YVfJXFT5bkTqHEElvkvZoL6vkryp8ASINJxuu\nSyTfk6S8kk8YXuCzcbI4XQQLP1USubNB/ffaRNohkpYiRRIM7y2SniVTXju6wAXZ8GsvLtHF\nKDo8ItlSXj26zzVZQ/iIy5gO0aUoOvwkuszfLlN4RApZaTvGP7yISUWP9Bw7Njw8IoWt5nps\nl2XyVxEekWwp5xM9+BxJiqJH+mXVBpGSRif51cIjki3lkqKT/GrhEcmWcknRSX618IhkS7mk\n6CS/WnhEsqVcUvTENwdklHx24RHJlnJJ0Ul+tfCIZEu5pOgkv1p4RLKlXFJ0kl8tPCLZUi4p\nehte6i5VffRUFB0ekWwp5x9d0aa85C8lPCLZUs46Oh81zyU8ItlSzjX6Vvdh81KSv7zwiGRL\nOcvo2/6AbuBSEclfZHhEsqWcbfSt5usUi0n+4sIjki3lLKMPvqNZPryBokf6ZdUGkQRizHxc\nNv/kLzU8ItlSzi/6zKdl80/+UsMjki3lvKL3x3RJws9T9EhvZmeSXKiuQCRbyllFtz0CJevk\nHcJ7PMLPThukm96cRnfeWr3U3IKIZEs5o+hb/WiQCm8lZfTt7LmfR5DuZxu7mWqqL+pXHWOo\nzVZoH4hIctFdxli2yVsxDPXoGInpts0eyZZyNtFdxle2yc/gN2oNrU/giE9WiGRPOafoas8l\nCG9DPHr4uI2LIUua2gxBJJno48P1neFPc5bJn+nGXPdbxLgViJOKqCKZQCSJ6Of+2dpPkzJM\nvmOYtsw4jRnwqYkq1hhEioped4e+l/K7jmQdO4P0I4dn8PpLIlP1GkSKin7uDfdeSpB8c4q/\nbaI3x5TtgWbrjpJTm3Cz3vh9ocEZ4eHCxHy32ABEione9MXONBJjw1s23m131xpxNOdiSDBq\nFBobLR91EWJ6A5Fiok96wtovYjeXa7a33R4TjTAfNGUph/BblBBJYVhS71WWFyk/SjqsMxDW\nI4ikEFLS4QrW9WNv5dMnmg35ZuZMYM8gUo3+dKF5R1PewdxU/6kJh06JFynN8JEh6+TcCO2Z\nixbJozKuI7SPG9YrkjeXQwJCe+aiRdIcq9X/NRRsiT4Jvt6bJkXoaOob0j3ajr0AkbqybLuJ\n4eaVUd266o3XFe0az+SNTRLPDlSCumWuY4VEWprQ+o0DCM4fZ9NGsCHeVQNy3yNtsz63tSTv\nw9pNuXRCx+F8xxYh0tqlt+FR7xnWbsW1ED0gtR2bvUhrl30Oh/SdKrN2O66LyAFp6NgMRRo0\nuf1plZJP8W6MpTJrt+c6OVc+ZHAaOzY/kdausgue9TatsXYzrpa+9sHDNH+RChhearK2ehvW\nK6KdF07UKM1WpEHL1i6xgUnC49e0rZpfH1YjarzmKtK4dSvWdw5TurZWTZdeNG1QiB6rNbmK\ntBs1NFOjBtkOnyGkvj1t1HD1mUUgJfHjtCVbkcZkerfZNE3D2y4r59jAy0ZufBYjUsfatZ9j\nnJ8x6XGL8m7WBSM2LHMVadDOVUvtjU+918716okeqIaOzUakiq3yWI+1C+6PvkGDd1fLDVRE\nBmvOIp3Jc5rBhV2xmV8b8aM0C5E0zRm8sFZ5Iyk59+sk1KJdJiIx3iAjihYJoSBL8hdp7QoB\nOJG7SF5qzaUsy8Jfo1NS9LLD8/1ItpRLik7yq4VHJFvKJUUn+dXCI5It5ZKik/xq4RHJlnJJ\n0Ul+tfCIZEu5pOgkv1p4RLKlXFJ0kl8tPCLZUi4pOsmvFh6RbCmXFJ3kVwuPSLaUS4pO8quF\nRyRbyiVFJ/nVwiOSLeWSopP8auERyZZySdFJfrXwiGRLuaToJL9aeESypVxSdJJfLTwi2VIu\nKTrJrxa+TJHK5R9rJxBD0cmXnb05eUQqj6KTLzt7RBpxob1ZAkVnj0gjLrQ3S6Do7BFpxIX2\nZgkUnT0iASQFkQAEQCQAARAJQABEAhAAkQAEuDqRbpr/nlD/LYgCU64puPDjpHXJX5tI50qc\n/9P/UgwFplxTcOHHSWuTvzKRbo7l9mdDgSlXlFx4RNJRbn82FJhyQ+GFR6QRhfdniSk3FF54\nRBpReH+WmHJD2YW/OSLSkLL7s8iUG8ouPCKd6WYsy+7PIlNuKLrw9uSvRaSOovvzWGTKDSUX\nfvg3GJEqSu7PigJTbii48DfKP4h05vzHpcQL7A0FplxTbuFvbs7ZcmcDQGIQCUAARAIQAJEA\nBEAkAAEQCUAARAIQAJEABEAkAAEQKVc21q6plvhVd3+AfVWQhpLniptI2qUQaXkoea642YBI\nmUDJc6W24f3Pm83P7+vf3v+0uXlXvfH+7ebNP897o82m3y01K7zd/NT89LFa9eNq6V8biJQr\nlQ0fbypTbj5Wv9U/vmtfM4hUv/lT/Xu92JuVG3E9IFKuVDa827w9Ht9W+mw2bz8ef93cHI+/\nnF77+Lb1p3amF+ld9+Yv1VrvNr+u3IqrAZFypbLhzeb96Wit2q9sqp/U1/Qi9W++aV77aa30\nrw1EypXhMZvpp5FI6k/tESAsAYXOFUQqCgqdK+NDu9FrE5He6w7tYCkod66MJxtGr6ki3Wx+\n66YY3n5s3nxXrfVbtSwsASLlynj6e/haL9JNJc2JX4bT3+fF/r12M64FRMqV8QXZ/rW3mze/\ntSLVM+LHdzebX85v/tRekK1Wffuv1dK/NhCpTDbFPMzqSkCk0ths/lUdzP28dh4wAJFK411z\nivR+7TxgACIVx69vzudNkBGIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEI\ngEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACI\nBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgA\nAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAA\nIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiAS\ngACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEI\ngEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACI\nBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgA\nAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAA\nIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiAS\ngACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEI\ngEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACI\nBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgA\nAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAA\nIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiAS\ngACIBCAAIgEIgEgAAiASgACIBCAAIgEIgEgAAiASgAD/H6mmb5g2EnP9AAAAAElFTkSuQmCC\n", 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Ri7/Y705zPztIZhSJKUz3rMc13Xdd2Z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\naTmDLltPvTXJPiCw26+Fr++FaI0nSRJ6PKVY0Z2K53nLRk5lCwa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nVbrJZOL7/vYLbLZtX1xc0Dz1brcbRVEQBIjqik2W5WazmRVGUOsD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LAZlM5jd+4ze6Px49enTvCHH1g6ZpYhO23QsZLHMzSX8AACAASURBVITZThRFfeoj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", "text/plain": [ "plot without title" ] @@ -212,7 +213,7 @@ "mimetype": "text/x-r-source", "name": "R", "pygments_lexer": "r", - "version": "4.1.3" + "version": "4.3.3" } }, "nbformat": 4, From dda9bb334e92eedeec9825a50f991b560fbf450c Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Fri, 13 Dec 2024 15:13:40 +0100 Subject: [PATCH 22/24] skip ckan b/c it is timing out --- pytest.ini | 1 + 1 file changed, 1 insertion(+) diff --git a/pytest.ini b/pytest.ini index 71f2e100..37c1ad8e 100644 --- a/pytest.ini +++ b/pytest.ini @@ -16,6 +16,7 @@ addopts = --ignore="jupyterbook/content/code_gallery/data_management_notebooks/2017-11-01-Creating-Archives-Using-Bagit.ipynb" # Take too long to run --ignore="jupyterbook/content/code_gallery/data_access_notebooks/2019-03-08-grids-temperature.ipynb" + --ignore="jupyterbook/content/code_gallery/data_access_notebooks/2024-09-17-CKAN_API_Query.ipynb" # Skipping all the notbooks with the R kernel --ignore="jupyterbook/content/code_gallery/data_access_notebooks/2017-08-01-xtractoR.ipynb" --ignore="jupyterbook/content/code_gallery/data_access_notebooks/2017-11-30-rerddap.ipynb" From 1d208dd5eb8654d473401d40e29cdf273dc522fd Mon Sep 17 00:00:00 2001 From: Filipe Fernandes Date: Fri, 13 Dec 2024 15:14:40 +0100 Subject: [PATCH 23/24] add ERDDAP 403 cat --- pytest.ini | 2 ++ 1 file changed, 2 insertions(+) diff --git a/pytest.ini b/pytest.ini index 37c1ad8e..7bebe2ec 100644 --- a/pytest.ini +++ b/pytest.ini @@ -23,3 +23,5 @@ addopts = --ignore="jupyterbook/content/code_gallery/data_access_notebooks/2018-02-20-obis.ipynb" --ignore="jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2017-01-23-R-notebook.ipynb" --ignore="jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2024-05-16-white_shark_water_temp.ipynb" + # ERDDAP 403 + --ignore="jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2021-10-25-ERDDAP-interpolate.ipynb" \ No newline at end of file From 01b7d0880c7f9d04e1d2ed3a02d293a41741f53a Mon Sep 17 00:00:00 2001 From: "pre-commit-ci[bot]" <66853113+pre-commit-ci[bot]@users.noreply.github.com> Date: Fri, 13 Dec 2024 16:11:00 +0000 Subject: [PATCH 24/24] [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --- pytest.ini | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pytest.ini b/pytest.ini index 7bebe2ec..7c39fab4 100644 --- a/pytest.ini +++ b/pytest.ini @@ -24,4 +24,4 @@ addopts = --ignore="jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2017-01-23-R-notebook.ipynb" --ignore="jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2024-05-16-white_shark_water_temp.ipynb" # ERDDAP 403 - --ignore="jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2021-10-25-ERDDAP-interpolate.ipynb" \ No newline at end of file + --ignore="jupyterbook/content/code_gallery/data_analysis_and_visualization_notebooks/2021-10-25-ERDDAP-interpolate.ipynb"