From c970adff23f250008b040ce8a0e250d34ed2e3a4 Mon Sep 17 00:00:00 2001 From: Scott Henderson Date: Mon, 26 Jun 2023 20:59:09 -0700 Subject: [PATCH] add sphinx-exercise, bump jupterlab-myst --- conda/conda-lock.yml | 1276 ++++++++++++++++++-------------- conda/environment-unpinned.yml | 1 + conda/environment.yml | 53 +- 3 files changed, 755 insertions(+), 575 deletions(-) diff --git a/conda/conda-lock.yml b/conda/conda-lock.yml index ff58dfda..3de97858 100644 --- a/conda/conda-lock.yml +++ b/conda/conda-lock.yml @@ -13,18 +13,18 @@ version: 1 metadata: content_hash: - osx-64: e8948296f47f71b4530a55eba8daeaf39e761b7677c4887e676358cca634805d - linux-64: 175e7a1573cfde126655c5ffc01f1f8be6c3fc117d78955e618db999228a4fec - win-64: 83e404d42b6f9560aa317a937ba33603ae406ee2b448a7d2d95a052dc1c067f0 - osx-arm64: a8e59e45c74c8dbc16a2fbd07fc41345630285d7fe7f3d7cb159c7e6d8b10a47 + osx-64: 946fb50dd9bcba2b578c6c8bdfe1c9051cec939b933e6313f62534c0e329bd35 + linux-64: e0eed6ce95c0633263e87790fbdc92fe00ae7f309dc5a27d862e1934a5b7bfcd + win-64: 72f776ac7df28abe00dcb545e3033fc1f6aceb9135e4b27c132970e4ad094562 + osx-arm64: 0796f7ac9b20c31191eb26000b49cea8d70b019949b7e75655d26b2418df7e4c channels: - url: conda-forge used_env_vars: [] platforms: - - osx-64 - linux-64 - - win-64 + - osx-64 - osx-arm64 + - win-64 sources: - environment-unpinned.yml package: @@ -2217,15 +2217,15 @@ package: category: main optional: false - name: jupyterlab-myst - version: 1.2.0 + version: 2.0.0 manager: conda platform: linux-64 dependencies: python: '>=3.7' - url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-myst-1.2.0-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-myst-2.0.0-pyhd8ed1ab_0.conda hash: - md5: 46dd325f80d66b1002de0749b7802b2d - sha256: 173c25253d9e59bedac82444ea1fa9fb258ef000d59358e27f34fff47203bf15 + md5: e2039b2117979ec5a173a7e7f03c99c3 + sha256: 50ab931446a756a2224763b804d9d73affeddc1ddbae9631d8939bb63435955e category: main optional: false - name: kiwisolver @@ -2325,7 +2325,7 @@ package: category: main optional: false - name: llvmlite - version: 0.40.0 + version: 0.40.1 manager: conda platform: linux-64 dependencies: @@ -2335,10 +2335,10 @@ package: libzlib: '>=1.2.13,<1.3.0a0' python: '>=3.11,<3.12.0a0' python_abi: 3.11.* - url: https://conda.anaconda.org/conda-forge/linux-64/llvmlite-0.40.0-py311ha6695c7_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/llvmlite-0.40.1-py311ha6695c7_0.conda hash: - md5: 4524604af5d8545cdef802c3a4c3951d - sha256: e24a9f00ba4cb958b245058f4fd1b666e4026e92139200bf7ea772e0bfa35b19 + md5: 7a2b62d839516ba0cf56717e902229f4 + sha256: bab4a08258aff6d76072a9e9a5c1fa3efb7acd6a7376f9761aec9bf735344ae4 category: main optional: false - name: locket @@ -2460,7 +2460,7 @@ package: category: main optional: false - name: numpy - version: 1.24.3 + version: 1.24.4 manager: conda platform: linux-64 dependencies: @@ -2471,10 +2471,10 @@ package: libstdcxx-ng: '>=12' python: '>=3.11,<3.12.0a0' python_abi: 3.11.* - url: https://conda.anaconda.org/conda-forge/linux-64/numpy-1.24.3-py311h64a7726_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/numpy-1.24.4-py311h64a7726_0.conda hash: - md5: f1d507e1a5f1151845f7818ceb02ba9f - sha256: dcdc9b7a27e70d9ffad0695616505a4d74052edf8165b25c288bd3d0c244cb88 + md5: 5a03d7c75dd4a9ae9a58850860eca468 + sha256: 81d5ac9c26fe7c689014dd6e48730b37e9017cb2b012839830a9ff66b0d70c9e category: main optional: false - name: openjpeg @@ -2820,15 +2820,15 @@ package: category: main optional: false - name: setuptools - version: 67.7.2 + version: 68.0.0 manager: conda platform: linux-64 dependencies: python: '>=3.7' - url: https://conda.anaconda.org/conda-forge/noarch/setuptools-67.7.2-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/setuptools-68.0.0-pyhd8ed1ab_0.conda hash: - md5: 3b68bc43ec6baa48f7354a446267eefe - sha256: 3ac44771fce01f19218bcdf3992e24984748048db69889a9df65abcc6a10e29b + md5: 5a7739d0f57ee64133c9d32e6507c46d + sha256: 083a0913f5b56644051f31ac40b4eeea762a88c00aa12437817191b85a753cec category: main optional: false - name: simpervisor @@ -3110,15 +3110,15 @@ package: category: main optional: false - name: websocket-client - version: 1.6.0 + version: 1.6.1 manager: conda platform: linux-64 dependencies: python: '>=3.7' - url: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.6.0-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/websocket-client-1.6.1-pyhd8ed1ab_0.conda hash: - 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url: https://conda.anaconda.org/conda-forge/win-64/pyarrow-12.0.0-py311h6a6099b_8_cpu.conda + url: https://conda.anaconda.org/conda-forge/win-64/pyarrow-12.0.0-py311h6a6099b_9_cpu.conda hash: - md5: 7b87f9e301e1d4d11c8ecb704574aa32 - sha256: b7a1530c998b345bcbcdadc1e4713b08a89a5f9c2dd977082c5dcd5551e84e09 + md5: 08b0190dca976dea4ed903e4a3c919ed + sha256: dcc75a9a8ecfa547d298c086b6638516dd0a91050275bf148d9628c7d68591a3 category: main optional: false - name: pydata-sphinx-theme @@ -23830,7 +23975,7 @@ package: category: main optional: false - name: scipy - version: 1.10.1 + version: 1.11.0 manager: conda platform: win-64 dependencies: @@ -23846,10 +23991,10 @@ package: ucrt: '>=10.0.20348.0' vc: '>=14.2,<15' vc14_runtime: '>=14.29.30139' - url: https://conda.anaconda.org/conda-forge/win-64/scipy-1.10.1-py311h37ff6ca_3.conda + url: https://conda.anaconda.org/conda-forge/win-64/scipy-1.11.0-py311h37ff6ca_0.conda hash: - md5: 2a46a0cbc7e2a7f7436c3d790134d434 - sha256: 778cecd689c0139874e1263776ea6ba5d959d6d6439de8bd1d12643e18362760 + md5: f2755b072a804c809bc7c8b2f4bcc1c5 + sha256: 5fbcb3a30f6560b5ccfcec8ac5a43f74daf8c5f51bbedbfe8a54e957c98d4463 category: main optional: false - name: sphinx-codeautolink @@ -24023,7 +24168,7 @@ package: category: main optional: false - name: xarray - version: 2023.5.0 + version: 2023.6.0 manager: conda platform: win-64 dependencies: @@ -24031,10 +24176,10 @@ package: packaging: '>=21.3' numpy: '>=1.21' pandas: '>=1.4' - url: https://conda.anaconda.org/conda-forge/noarch/xarray-2023.5.0-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/xarray-2023.6.0-pyhd8ed1ab_0.conda hash: - md5: 254b5553bed6adf404ac09fa07cb54da - sha256: cd98280dfb226ebb26b7d90da8f3342ecba66ea521b3df27e7a75bc709905502 + md5: fab9606afac36f1127222f788b336fb9 + sha256: c1fecc97994e41317953641bff5eb2877c3118a3c7e798edd5fbfbd497ea9837 category: main optional: false - name: zarr @@ -24077,20 +24222,20 @@ package: category: main optional: false - name: cf_xarray - version: 0.8.1 + version: 0.8.2 manager: conda platform: win-64 dependencies: xarray: '' python: '>=3.8' - url: https://conda.anaconda.org/conda-forge/noarch/cf_xarray-0.8.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/cf_xarray-0.8.2-pyhd8ed1ab_0.conda hash: - 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name: datashader @@ -24150,6 +24295,20 @@ package: sha256: 00fadd9a9425b3062fdf2476ff620aef5c0c0c5bf6b27bf23f7c0cda77f1b240 category: main optional: false +- name: jupyter-lsp + version: 2.2.0 + manager: conda + platform: win-64 + dependencies: + python: '>=3.8' + importlib-metadata: '>=4.8.3' + jupyter_server: '>=1.1.2' + url: https://conda.anaconda.org/conda-forge/noarch/jupyter-lsp-2.2.0-pyhd8ed1ab_0.conda + hash: + md5: 38589f4104d11f2a59ff01a9f4e3bfb3 + sha256: 16fc7b40024adece716ba7227e5c123a2deccc13f946a10d9a3270493908d11c + category: main + optional: false - name: jupyter-resource-usage version: 0.7.1 manager: conda @@ -24264,7 +24423,7 @@ package: category: main optional: false - name: panel - version: 1.1.0 + version: 1.1.1 manager: conda platform: win-64 dependencies: @@ -24281,10 +24440,10 @@ package: bokeh: '>=3.1.1,<3.2' param: '>=1.12.0,<3' markdown-it-py: <3 - url: https://conda.anaconda.org/conda-forge/noarch/panel-1.1.0-pyhd8ed1ab_2.conda + url: https://conda.anaconda.org/conda-forge/noarch/panel-1.1.1-pyhd8ed1ab_0.conda hash: - md5: 05688c15c0831eb1ae8c1464005e7a2f - sha256: 7671e1439912aa287cfe18466a1c44ca0f49d090d414bea70e4529419fbb0d79 + md5: d28a7a4ea48bc92da4c08ae55d95a630 + sha256: fbf59e568a77c9588ffc17de713dacdd2203d2cd86499adecce941bc5199fb4b category: main optional: false - name: pint-xarray @@ -24418,6 +24577,32 @@ package: sha256: 13dff47cd1ecd3337271f16e65d1376e148f8d18c4cbb87e4aab603d5be628c9 category: main optional: false +- name: jupyterlab + version: 4.0.2 + manager: conda + platform: win-64 + dependencies: + packaging: '' + traitlets: '' + ipykernel: '' + tomli: '' + jupyter_core: '' + python: '>=3.8' + jinja2: '>=3.0.3' + tornado: '>=6.2.0' + importlib_metadata: '>=4.8.3' + importlib_resources: '>=1.4' + jupyter-lsp: '>=2.0.0' + async-lru: '>=1.0.0' + jupyter_server: '>=2.4.0,<3' + jupyterlab_server: '>=2.19.0,<3' + notebook-shim: '>=0.2' + url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.2-pyhd8ed1ab_0.conda + hash: + md5: 8e102bf37f10dd49c248910450242a19 + sha256: 6ba8561371b50500981ee6a6092d98b02b410a2fa23f7024dde5175cf9ce3639 + category: main + optional: false - name: nbclassic version: 1.0.0 manager: conda @@ -24447,6 +24632,37 @@ package: sha256: fc2b2e606ccbd0aaa2cdecdd33fc39e2c4bd7b5b96a64b89b3e6ad9ce20eec2f category: main optional: false +- name: sphinx-exercise + version: 0.4.0 + manager: conda + platform: win-64 + dependencies: + sphinx-book-theme: '' + python: '>=3.6' + docutils: '>=0.15' + sphinx: '>=3.0' + url: https://conda.anaconda.org/conda-forge/noarch/sphinx-exercise-0.4.0-pyhd8ed1ab_0.tar.bz2 + hash: + md5: cbabcec6050bb9783d6a3f8d01bf98db + sha256: 427fae3ea7536907e30a760f2e5accba9f7e0a6a0dba0200bcf8b8bf2a9d10b8 + category: main + optional: false +- name: dask-labextension + version: 6.1.0 + manager: conda + platform: win-64 + dependencies: + python: '>=3.6' + jupyterlab: '>=3.0.0' + bokeh: '>=1.0.0,!=2.0.0' + distributed: '>=1.24.1' + jupyter-server-proxy: '>=1.3.2' + url: https://conda.anaconda.org/conda-forge/noarch/dask-labextension-6.1.0-pyhd8ed1ab_0.conda + hash: + md5: a323c077b8c653007d6fe3a340b01240 + sha256: 64c9aa827bf2231ce8f44d9686a05a7ac1381dc244a3c9603add38c2825d5e4b + category: main + optional: false - name: gcsfs version: 2023.6.0 manager: conda @@ -24534,43 +24750,3 @@ package: sha256: f1fb8078ac594ff6dbca271e1432b4312cc10c16c6fbddfe77d4102c778235cf category: main optional: false -- name: jupyterlab - version: 3.6.4 - manager: conda - platform: win-64 - dependencies: - packaging: '' - ipython: '' - tomli: '' - jupyter_core: '' - nbclassic: '' - python: '>=3.7' - tornado: '>=6.1.0' - jinja2: '>=2.1' - notebook: <7 - jupyter_server: '>=1.16.0,<3' - jupyterlab_server: '>=2.19,<3' - jupyter_server_ydoc: '>=0.8.0,<0.9.0' - jupyter_ydoc: '>=0.2.4,<0.3' - url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-3.6.4-pyhd8ed1ab_0.conda - hash: - md5: e66d4a6e36fcc92fe266932bf85fd35a - sha256: bfe079fd84d17301022f938508a03a883f01df1df3f6d08c267fc4471d660fe5 - category: main - optional: false -- name: dask-labextension - version: 6.1.0 - manager: conda - platform: win-64 - dependencies: - python: '>=3.6' - jupyterlab: '>=3.0.0' - bokeh: '>=1.0.0,!=2.0.0' - distributed: '>=1.24.1' - jupyter-server-proxy: '>=1.3.2' - url: https://conda.anaconda.org/conda-forge/noarch/dask-labextension-6.1.0-pyhd8ed1ab_0.conda - hash: - md5: a323c077b8c653007d6fe3a340b01240 - sha256: 64c9aa827bf2231ce8f44d9686a05a7ac1381dc244a3c9603add38c2825d5e4b - category: main - optional: false diff --git a/conda/environment-unpinned.yml b/conda/environment-unpinned.yml index 57baba78..40e8a160 100644 --- a/conda/environment-unpinned.yml +++ b/conda/environment-unpinned.yml @@ -32,6 +32,7 @@ dependencies: - rioxarray - scipy - sphinx-codeautolink + - sphinx-exercise - sphinx-notfound-page - sphinxext-rediraffe - xarray diff --git a/conda/environment.yml b/conda/environment.yml index dfd8d7c0..1b5c6239 100644 --- a/conda/environment.yml +++ b/conda/environment.yml @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 175e7a1573cfde126655c5ffc01f1f8be6c3fc117d78955e618db999228a4fec +# input_hash: e0eed6ce95c0633263e87790fbdc92fe00ae7f309dc5a27d862e1934a5b7bfcd channels: - conda-forge @@ -171,14 +171,14 @@ dependencies: - imagesize=1.4.1=pyhd8ed1ab_0 - ipython_genutils=0.2.0=py_1 - json5=0.9.5=pyh9f0ad1d_0 - - jupyterlab-myst=1.2.0=pyhd8ed1ab_0 + - jupyterlab-myst=2.0.0=pyhd8ed1ab_0 - kiwisolver=1.4.4=py311h4dd048b_1 - lcms2=2.15=haa2dc70_1 - libcurl=8.1.2=h409715c_0 - libkml=1.3.0=h37653c0_1015 - libpq=15.3=hbcd7760_1 - libwebp=1.3.0=hb47c5f0_0 - - llvmlite=0.40.0=py311ha6695c7_0 + - llvmlite=0.40.1=py311ha6695c7_0 - locket=1.0.0=pyhd8ed1ab_0 - lz4=4.3.2=py311h9f220a4_0 - markupsafe=2.1.3=py311h459d7ec_0 @@ -188,7 +188,7 @@ dependencies: - multidict=6.0.4=py311h2582759_0 - munkres=1.1.4=pyh9f0ad1d_0 - nest-asyncio=1.5.6=pyhd8ed1ab_0 - - numpy=1.24.3=py311h64a7726_0 + - numpy=1.24.4=py311h64a7726_0 - openjpeg=2.5.0=hfec8fc6_2 - packaging=23.1=pyhd8ed1ab_0 - pandocfilters=1.5.0=pyhd8ed1ab_0 @@ -216,7 +216,7 @@ dependencies: - pyzmq=25.1.0=py311h75c88c4_0 - rfc3986-validator=0.1.1=pyh9f0ad1d_0 - send2trash=1.8.2=pyh41d4057_0 - - setuptools=67.7.2=pyhd8ed1ab_0 + - setuptools=68.0.0=pyhd8ed1ab_0 - simpervisor=1.0.0=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.0=pyhd8ed1ab_0 @@ -240,7 +240,7 @@ dependencies: - uc-micro-py=1.0.1=pyhd8ed1ab_0 - webencodings=0.5.1=py_1 - webob=1.8.7=pyhd8ed1ab_0 - - websocket-client=1.6.0=pyhd8ed1ab_0 + - websocket-client=1.6.1=pyhd8ed1ab_0 - wheel=0.40.0=pyhd8ed1ab_0 - xorg-libxext=1.3.4=h0b41bf4_2 - xorg-libxrender=0.9.10=h7f98852_1003 @@ -252,10 +252,11 @@ dependencies: - aiosignal=1.3.1=pyhd8ed1ab_0 - anyio=3.7.0=pyhd8ed1ab_1 - asttokens=2.2.1=pyhd8ed1ab_0 + - async-lru=2.0.2=pyhd8ed1ab_0 - aws-c-auth=0.6.28=hccec9ca_5 - aws-c-mqtt=0.8.13=ha5d9b87_2 - babel=2.12.1=pyhd8ed1ab_1 - - backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0 + - backports.functools_lru_cache=1.6.5=pyhd8ed1ab_0 - beautifulsoup4=4.12.2=pyha770c72_0 - bleach=6.0.0=pyhd8ed1ab_0 - cairo=1.16.0=hbbf8b49_1016 @@ -269,7 +270,7 @@ dependencies: - curl=8.1.2=h409715c_0 - cytoolz=0.12.0=py311hd4cff14_1 - fonttools=4.40.0=py311h459d7ec_0 - - gsw=3.6.16=py311h4c7f6c3_4 + - gsw=3.6.17=py311h1f0f07a_0 - hdf5=1.14.0=nompi_hb72d44e_103 - importlib-metadata=6.7.0=pyha770c72_0 - importlib_resources=5.12.0=pyhd8ed1ab_0 @@ -278,13 +279,13 @@ dependencies: - jupyterlab_pygments=0.2.2=pyhd8ed1ab_0 - latexcodec=2.0.1=pyh9f0ad1d_0 - libgd=2.3.3=hfa28ad5_6 - - libgoogle-cloud=2.11.0=hac9eb74_1 + - libgoogle-cloud=2.12.0=hac9eb74_0 - linkify-it-py=2.0.0=pyhd8ed1ab_0 - markdown-it-py=2.2.0=pyhd8ed1ab_0 - matplotlib-inline=0.1.6=pyhd8ed1ab_0 - multipledispatch=0.6.0=py_0 - nodeenv=1.8.0=pyhd8ed1ab_0 - - numba=0.57.0=py311h96b013e_2 + - numba=0.57.1=py311h96b013e_0 - numcodecs=0.11.0=py311hcafe171_1 - overrides=7.3.1=pyhd8ed1ab_0 - partd=1.4.0=pyhd8ed1ab_0 @@ -331,7 +332,7 @@ dependencies: - matplotlib-base=3.7.1=py311h8597a09_0 - mdit-py-plugins=0.4.0=pyhd8ed1ab_0 - pandas=2.0.2=py311h320fe9a_0 - - platformdirs=3.6.0=pyhd8ed1ab_0 + - platformdirs=3.8.0=pyhd8ed1ab_0 - poppler=23.05.0=hd18248d_1 - pybtex=0.24.0=pyhd8ed1ab_2 - pyproj=3.6.0=py311ha169711_1 @@ -345,7 +346,7 @@ dependencies: - argon2-cffi=21.3.0=pyhd8ed1ab_0 - aws-crt-cpp=0.20.2=h5289e1f_9 - bokeh=3.1.1=pyhd8ed1ab_0 - - dask-core=2023.6.0=pyhd8ed1ab_0 + - dask-core=2023.6.1=pyhd8ed1ab_0 - google-resumable-media=2.5.0=pyhd8ed1ab_0 - identify=2.5.24=pyhd8ed1ab_0 - jupyter_core=5.3.1=py311h38be061_0 @@ -359,12 +360,12 @@ dependencies: - pybtex-docutils=1.0.2=py311h38be061_2 - pyopenssl=23.2.0=pyhd8ed1ab_1 - virtualenv=20.23.1=pyhd8ed1ab_0 - - xarray=2023.5.0=pyhd8ed1ab_0 + - xarray=2023.6.0=pyhd8ed1ab_0 - ypy-websocket=0.8.2=pyhd8ed1ab_0 - aws-sdk-cpp=1.10.57=h8101662_14 - - cf_xarray=0.8.1=pyhd8ed1ab_0 + - cf_xarray=0.8.2=pyhd8ed1ab_0 - gtk2=2.24.33=h90689f9_2 - - jupyter_client=8.2.0=pyhd8ed1ab_0 + - jupyter_client=8.3.0=pyhd8ed1ab_0 - librsvg=2.56.1=h98fae49_0 - nbformat=5.9.0=pyhd8ed1ab_0 - pint-xarray=0.3=pyhd8ed1ab_0 @@ -372,33 +373,33 @@ dependencies: - prompt_toolkit=3.0.38=hd8ed1ab_0 - rasterio=1.3.7=py311h41e4db2_2 - urllib3=1.26.15=pyhd8ed1ab_0 - - distributed=2023.6.0=pyhd8ed1ab_0 + - distributed=2023.6.1=pyhd8ed1ab_0 - graphviz=8.0.5=h28d9a01_0 - ipython=8.14.0=pyh41d4057_0 - - libarrow=12.0.0=hc00ebf5_8_cpu + - libarrow=12.0.0=hc410076_9_cpu - nbclient=0.7.4=pyhd8ed1ab_0 - requests=2.31.0=pyhd8ed1ab_0 - - google-auth=2.20.0=pyh1a96a4e_0 - - ipykernel=6.23.2=pyh210e3f2_0 + - google-auth=2.21.0=pyh1a96a4e_0 + - ipykernel=6.23.3=pyh71e2992_0 - jupyter-cache=0.6.1=pyhd8ed1ab_0 - nbconvert-core=7.6.0=pyhd8ed1ab_0 - - panel=1.1.0=pyhd8ed1ab_2 + - panel=1.1.1=pyhd8ed1ab_0 - pooch=1.7.0=pyha770c72_3 - - pyarrow=12.0.0=py311h39c9aba_8_cpu + - pyarrow=12.0.0=py311h39c9aba_9_cpu - pyct=0.4.6=py_0 - pydap=3.4.0=pyhd8ed1ab_0 - python-graphviz=0.20.1=pyh22cad53_0 - requests-oauthlib=1.3.1=pyhd8ed1ab_0 - sphinx=4.5.0=pyh6c4a22f_0 - colorcet=3.0.1=pyhd8ed1ab_0 - - dask=2023.6.0=pyhd8ed1ab_0 + - dask=2023.6.1=pyhd8ed1ab_0 - google-api-core=2.11.1=pyhd8ed1ab_0 - google-auth-oauthlib=1.0.0=pyhd8ed1ab_0 - jupyter_server=2.6.0=pyhd8ed1ab_0 - myst-parser=0.18.1=pyhd8ed1ab_0 - nbconvert-pandoc=7.6.0=pyhd8ed1ab_0 - pydata-sphinx-theme=0.13.3=pyhd8ed1ab_0 - - scipy=1.10.1=py311h64a7726_3 + - scipy=1.11.0=py311h64a7726_0 - sphinx-codeautolink=0.15.0=pyhd8ed1ab_0 - sphinx-comments=0.0.3=pyh9f0ad1d_0 - sphinx-copybutton=0.5.2=pyhd8ed1ab_0 @@ -415,6 +416,7 @@ dependencies: - datashader=0.15.0=pyhd8ed1ab_0 - google-cloud-core=2.3.2=pyhd8ed1ab_0 - holoviews=1.16.2=pyhd8ed1ab_0 + - jupyter-lsp=2.2.0=pyhd8ed1ab_0 - jupyter-resource-usage=0.7.1=pyhd8ed1ab_0 - jupyter-server-proxy=4.0.0=pyhd8ed1ab_0 - jupyter_server_fileid=0.9.0=pyhd8ed1ab_0 @@ -429,8 +431,9 @@ dependencies: - hvplot=0.8.4=pyhd8ed1ab_1 - jupyter-book=0.15.1=pyhd8ed1ab_0 - jupyter_server_ydoc=0.8.0=pyhd8ed1ab_0 + - jupyterlab=4.0.2=pyhd8ed1ab_0 - nbclassic=1.0.0=pyhb4ecaf3_1 + - sphinx-exercise=0.4.0=pyhd8ed1ab_0 + - dask-labextension=6.1.0=pyhd8ed1ab_0 - gcsfs=2023.6.0=pyhd8ed1ab_0 - notebook=6.5.4=pyha770c72_0 - - jupyterlab=3.6.4=pyhd8ed1ab_0 - - dask-labextension=6.1.0=pyhd8ed1ab_0