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'>=3.11,<3.12.0a0' + python: '>=3.12,<3.13.0a0' python-dateutil: '>=2.8.1' python-tzdata: '>=2022a' - python_abi: 3.11.* + python_abi: 3.12.* pytz: '>=2020.1' - url: https://conda.anaconda.org/conda-forge/linux-64/pandas-2.2.2-py311h14de704_1.conda + url: https://conda.anaconda.org/conda-forge/linux-64/pandas-2.2.2-py312h1d6d2e6_1.conda hash: - md5: 84e2dd379d4edec4dd6382861486104d - sha256: d600c0cc42fca1ad36d969758b2495062ad83124ecfcf5673c98b11093af7055 + md5: ae00b61f3000d2284d1f2584d4dfafa8 + sha256: 80fd53b68aa89b929d03874b99621ec8cc6a12629bd8bfbdca87a95f8852af96 category: main optional: false - name: pandocfilters @@ -2899,13 +2899,13 @@ package: libxcb: '>=1.16,<1.17.0a0' libzlib: '>=1.3.1,<2.0a0' openjpeg: '>=2.5.2,<3.0a0' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* tk: '>=8.6.13,<8.7.0a0' - url: https://conda.anaconda.org/conda-forge/linux-64/pillow-10.3.0-py311h82a398c_1.conda + url: 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name: pthread-stubs @@ -3032,12 +3032,12 @@ package: libparquet: 16.1.0.* numpy: '>=1.19,<3' pyarrow-core: 16.1.0 - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* - url: https://conda.anaconda.org/conda-forge/linux-64/pyarrow-16.1.0-py311hbd00459_3.conda + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* + url: https://conda.anaconda.org/conda-forge/linux-64/pyarrow-16.1.0-py312h9cebb41_3.conda hash: - md5: 0c9a14b46b94b6a840e68ea5b3ee48f9 - sha256: 9cf39711f7fc3479b7d78c1e93bc8864d544e18252e712714c132790d60149b5 + md5: 185d19647c3f7ddbdad8331911042763 + sha256: 302790b27f818bbe684a2411698457c43cdff92e5380098cddabe377dd81ddf3 category: main optional: false - name: pyarrow-core @@ -3050,13 +3050,13 @@ package: libstdcxx-ng: '>=12' libzlib: '>=1.3.1,<2.0a0' numpy: '>=1.19,<3' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* tzdata: '' - url: https://conda.anaconda.org/conda-forge/linux-64/pyarrow-core-16.1.0-py311h8c3dac4_3_cpu.conda + url: https://conda.anaconda.org/conda-forge/linux-64/pyarrow-core-16.1.0-py312h70856f0_3_cpu.conda hash: - md5: 702f6bd8727576169f353652351b68c0 - sha256: d38eec803cf46de389b0b57a59fc1b4f6db573105b210bf2e8a79c54c6954821 + md5: 7f93c5a99083e2a26a301db64f44acb8 + sha256: 752e0335aa595d000ab9526f009a86f4790e409554226e2443eba73be2ba6afa category: main optional: false - name: pyarrow-hotfix @@ -3105,13 +3105,13 @@ package: platform: linux-64 dependencies: libgcc-ng: '>=12' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* typing-extensions: '>=4.6.0,!=4.7.0' - url: https://conda.anaconda.org/conda-forge/linux-64/pydantic-core-2.18.4-py311h5ecf98a_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/pydantic-core-2.18.4-py312h4413252_0.conda hash: - md5: c4de9699f095e3049dc02bcf811497b7 - sha256: 2c34d272a1afe39afbf4713a7f96366a579cb628a0321159e3015695b1e54913 + md5: 760628de5ba09598d4ab4cd9d021228b + sha256: d7af4fa02992b9f883a4c4be4db75321e82b0f77fac15a7abd5f2ca9917d1cb1 category: main optional: false - name: pygments @@ -3165,7 +3165,7 @@ package: category: main optional: false - name: python - version: 3.11.9 + version: 3.12.4 manager: conda platform: linux-64 dependencies: @@ -3175,20 +3175,20 @@ package: libffi: '>=3.4,<4.0a0' libgcc-ng: '>=12' libnsl: '>=2.0.1,<2.1.0a0' - libsqlite: '>=3.45.3,<4.0a0' + libsqlite: '>=3.46.0,<4.0a0' libuuid: '>=2.38.1,<3.0a0' libxcrypt: '>=4.4.36' - libzlib: '>=1.2.13,<2.0.0a0' - ncurses: '>=6.4.20240210,<7.0a0' - openssl: '>=3.2.1,<4.0a0' + libzlib: '>=1.3.1,<2.0a0' + ncurses: '>=6.5,<7.0a0' + openssl: '>=3.3.1,<4.0a0' readline: '>=8.2,<9.0a0' tk: '>=8.6.13,<8.7.0a0' tzdata: '' xz: '>=5.2.6,<6.0a0' - url: https://conda.anaconda.org/conda-forge/linux-64/python-3.11.9-hb806964_0_cpython.conda + url: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.4-h194c7f8_0_cpython.conda hash: - md5: ac68acfa8b558ed406c75e98d3428d7b - sha256: 177f33a1fb8d3476b38f73c37b42f01c0b014fa0e039a701fd9f83d83aae6d40 + md5: d73490214f536cccb5819e9873048c92 + sha256: 97a78631e6c928bf7ad78d52f7f070fcf3bd37619fa48dc4394c21cf3058cdee category: main optional: false - name: python-dateutil @@ -3241,14 +3241,14 @@ package: category: main optional: false - name: python_abi - version: '3.11' + version: '3.12' manager: conda platform: linux-64 dependencies: {} - url: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.11-4_cp311.conda + url: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.12-4_cp312.conda hash: - md5: d786502c97404c94d7d58d258a445a65 - sha256: 0be3ac1bf852d64f553220c7e6457e9c047dfb7412da9d22fbaa67e60858b3cf + md5: dccc2d142812964fcc6abdc97b672dff + sha256: 182a329de10a4165f6e8a3804caf751f918f6ea6176dd4e5abcdae1ed3095bf6 category: main optional: false - name: pytz @@ -3269,13 +3269,13 @@ package: platform: linux-64 dependencies: libgcc-ng: '>=12' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* + python: '>=3.12.0rc3,<3.13.0a0' + python_abi: 3.12.* yaml: '>=0.2.5,<0.3.0a0' - url: https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.1-py311h459d7ec_1.conda + url: https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0.1-py312h98912ed_1.conda hash: - md5: 52719a74ad130de8fb5d047dc91f247a - sha256: 28729ef1ffa7f6f9dfd54345a47c7faac5d34296d66a2b9891fb147f4efe1348 + md5: e3fd78d8d490af1d84763b9fe3f2e552 + sha256: 7f347a10a7121b08d79d21cd4f438c07c23479ea0c74dfb89d6dc416f791bb7f category: main optional: false - name: pyzmq @@ -3286,13 +3286,13 @@ package: libgcc-ng: '>=12' libsodium: '>=1.0.18,<1.0.19.0a0' libstdcxx-ng: '>=12' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* zeromq: '>=4.3.5,<4.4.0a0' - url: https://conda.anaconda.org/conda-forge/linux-64/pyzmq-26.0.3-py311h08a0b41_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/pyzmq-26.0.3-py312h8fd38d8_0.conda hash: - md5: 8bef21c0a0160e7369fc2f494acf85d0 - sha256: 1b488c4600682702e10c296d77f4497b1ef3fdf37847861e4e1269f2718b8842 + md5: 27efa6d21e98bcab4585a6b913df7625 + sha256: a3bf1e1af97a256a3a498cc7f2fedb478df18cf629cc9e9aa73a5b4cfc204d45 category: main optional: false - name: re2 @@ -3381,12 +3381,12 @@ package: platform: linux-64 dependencies: libgcc-ng: '>=12' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* - url: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.18.1-py311h5ecf98a_0.conda + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* + url: https://conda.anaconda.org/conda-forge/linux-64/rpds-py-0.18.1-py312h4413252_0.conda hash: - md5: 9ce82e95681cb5c5e4bd872ed0a7aceb - sha256: 957926f2265c7f23522d91e4ead645f8924271969eaf4e70f75c8693c3721f0e + md5: 73da42918aaeb87d5618f82e2ac18d1f + sha256: 31891fb09afbe5263f0526388758f65e43ad9b7b3ccd75f791df55782667a8d1 category: main optional: false - name: s2n @@ -3507,13 +3507,13 @@ package: dependencies: greenlet: '!=0.4.17' libgcc-ng: '>=12' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* typing-extensions: '>=4.6.0' - url: https://conda.anaconda.org/conda-forge/linux-64/sqlalchemy-2.0.31-py311h331c9d8_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/sqlalchemy-2.0.31-py312h9a8786e_0.conda hash: - md5: d3649b7733c6ca41222e89e4d60a93d1 - sha256: 83694faad960c8426a3b444d56770eb5120c575fe6dc9de07b70992d87ce1595 + md5: 81b5a42f9aca877913472eeae0018165 + sha256: a372cd1c3d153bb0620894e30b07bd54fb81ba4ad34ffd64a99d76a55d2eb8f1 category: main optional: false - name: stack_data @@ -3614,12 +3614,12 @@ package: platform: linux-64 dependencies: libgcc-ng: '>=12' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* - url: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.4.1-py311h331c9d8_0.conda + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* + url: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.4.1-py312h9a8786e_0.conda hash: - md5: e29e451c96bf8e81a5760b7565c6ed2c - sha256: 753f5496ba6a69fc52bd58e55296d789b964d1ba1539420bfc10bcd0e1d016fb + md5: fd9c83fde763b494f07acee1404c280e + sha256: fcf92fde5bac323921d97f8f2e66ee134ea01094f14d4e99c56f98187241c638 category: main optional: false - name: traitlets @@ -3859,12 +3859,12 @@ package: idna: '>=2.0' libgcc-ng: '>=12' multidict: '>=4.0' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* - url: https://conda.anaconda.org/conda-forge/linux-64/yarl-1.9.4-py311h459d7ec_0.conda + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* + url: https://conda.anaconda.org/conda-forge/linux-64/yarl-1.9.4-py312h98912ed_0.conda hash: - md5: fff0f2058e9d86c8bf5848ee93917a8d - sha256: 673e4a626e9e7d661154e5609f696c0c8a9247087f5c8b7744cfbb4fe0872713 + md5: ec3eb4803df33e90a41bc216a68d02f1 + sha256: 7bf7e32c5a18a1c5d21e0b7891133fb0cd38774f8014acdc5b548c601d4d47c3 category: main optional: false - name: zeromq diff --git a/base-notebook/environment.yml b/base-notebook/environment.yml index 06d9d499..a2280dd3 100644 --- a/base-notebook/environment.yml +++ b/base-notebook/environment.yml @@ -3,6 +3,6 @@ channels: - conda-forge - nodefaults dependencies: - - python=3.11 + - python=3.12 - pangeo-notebook=2024.06.21 - pip diff --git a/base-notebook/packages.txt b/base-notebook/packages.txt index 3c3a8776..ca2de642 100644 --- a/base-notebook/packages.txt +++ b/base-notebook/packages.txt @@ -80,8 +80,8 @@ httpx==0.27.0 hyperframe==6.0.1 icu==73.2 idna==3.7 -importlib-metadata==7.2.0 -importlib_metadata==7.2.0 +importlib-metadata==7.2.1 +importlib_metadata==7.2.1 importlib_resources==6.4.0 ipykernel==6.29.4 ipython==8.25.0 @@ -213,12 +213,12 @@ pygments==2.18.0 pyjwt==2.8.0 pyopenssl==24.0.0 pysocks==1.7.1 -python==3.11.9 +python==3.12.4 python-dateutil==2.9.0 python-fastjsonschema==2.20.0 python-json-logger==2.0.7 python-tzdata==2024.1 -python_abi==3.11 +python_abi==3.12 pytz==2024.1 pyyaml==6.0.1 pyzmq==26.0.3 diff --git a/environment-condalock.yml b/environment-condalock.yml index e87febd8..34f1fc9b 100644 --- a/environment-condalock.yml +++ b/environment-condalock.yml @@ -2,7 +2,7 @@ name: condalock channels: - conda-forge dependencies: - - python=3.11 + - python=3.12 - conda-lock>=2.5 - conda>=24.5.0 - mamba=1 diff --git a/ml-notebook/conda-linux-64.lock b/ml-notebook/conda-linux-64.lock index 7a386542..c4e79f8b 100644 --- a/ml-notebook/conda-linux-64.lock +++ b/ml-notebook/conda-linux-64.lock @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 74ca3212f78b8ccc67995d712bef027293a8bae48c77fa74cfe51194d3de9967 +# input_hash: 777145f4743c4dd46f0ce7f4fcaa2df0034f579ddd99822c679728ca10c3016b @EXPLICIT https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81 https://conda.anaconda.org/conda-forge/linux-64/_py-xgboost-mutex-2.0-gpu_0.tar.bz2#7702188077361f43a4d61e64c694f850 @@ -15,9 +15,10 @@ https://conda.anaconda.org/conda-forge/linux-64/gh-2.51.0-he0e2781_0.conda#0a0f4 https://conda.anaconda.org/conda-forge/linux-64/git-lfs-3.5.1-ha770c72_0.conda#bcba64281c71698f6dbb773e61908912 https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-hf3520f5_7.conda#b80f2f396ca2c28b8c14c437a4ed1e74 https://conda.anaconda.org/conda-forge/linux-64/libboost-headers-1.85.0-ha770c72_1.conda#012455a6eddcbf487ef0ddd1715f0b80 +https://conda.anaconda.org/conda-forge/linux-64/mpi-1.0-mpich.tar.bz2#c1fcff3417b5a22bbc4cf6e8c23648cf https://conda.anaconda.org/conda-forge/noarch/poppler-data-0.4.12-hd8ed1ab_0.conda#d8d7293c5b37f39b2ac32940621c6592 https://conda.anaconda.org/conda-forge/noarch/pybind11-abi-4-hd8ed1ab_3.tar.bz2#878f923dd6acc8aeb47a75da6c4098be -https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.11-4_cp311.conda#d786502c97404c94d7d58d258a445a65 +https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.12-4_cp312.conda#dccc2d142812964fcc6abdc97b672dff https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h0c530f3_0.conda#161081fc7cec0bfda0d86d7cb595f8d8 https://conda.anaconda.org/conda-forge/noarch/cuda-cccl_linux-64-12.5.39-ha770c72_0.conda#1196ad96550a485d6c988d84839e93db https://conda.anaconda.org/conda-forge/noarch/cuda-crt-dev_linux-64-12.5.40-ha770c72_0.conda#adf66999e96bf3c87190c694d49fed48 @@ -28,15 +29,15 @@ https://conda.anaconda.org/conda-forge/noarch/cuda-driver-dev_linux-64-12.5.39-h https://conda.anaconda.org/conda-forge/noarch/cuda-nvvm-dev_linux-64-12.5.40-ha770c72_0.conda#3ef2eae0f780bdd301dca19d9923ea72 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2#f766549260d6815b0c52253f1fb1bb29 https://conda.anaconda.org/conda-forge/noarch/kernel-headers_linux-64-3.10.0-h4a8ded7_14.conda#f6c14886b1695a2462d296176e831080 -https://conda.anaconda.org/conda-forge/noarch/libgcc-devel_linux-64-12.3.0-h6b66f73_112.conda#93d0810013f5eeba3f4720117077e7b3 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https://conda.anaconda.org/conda-forge/linux-64/tornado-6.4.1-py311h331c9d8_0.conda + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* + url: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.4.1-py312h9a8786e_0.conda hash: - md5: e29e451c96bf8e81a5760b7565c6ed2c - sha256: 753f5496ba6a69fc52bd58e55296d789b964d1ba1539420bfc10bcd0e1d016fb + md5: fd9c83fde763b494f07acee1404c280e + sha256: fcf92fde5bac323921d97f8f2e66ee134ea01094f14d4e99c56f98187241c638 category: main optional: false - name: tqdm @@ -11071,27 +11034,24 @@ package: category: main optional: false - name: trajan - version: 0.6.1 + version: 0.3.2 manager: conda platform: linux-64 dependencies: - bottleneck: '>=1.3' cartopy: '>=0.21' cf_xarray: '>=0.8' click: '>=8' matplotlib-base: '>=3.5' netcdf4: '>=1.6' numpy: '>=1.23' - pandas: '>=2' pyproj: '>=2.3' python: '>=3.8' - roaring-landmask: '>=0.7' scipy: '>=1.9' xarray: '>=2022.6.0' - url: https://conda.anaconda.org/conda-forge/noarch/trajan-0.6.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/trajan-0.3.2-pyhd8ed1ab_0.conda hash: - md5: 2aa4a48c5c7feae8ec84b6f30ce453ec - sha256: f37911a1a32ebad8e4687cec258785b3c30329cb93c8bd00a7b78f9bb84592b8 + md5: 5b7c5cccf725c998aaad7c4a812bcb25 + sha256: 3793318534fb8643ebe08b4ad899d0a0669f9c8337a0d6c82389738162f92d1c category: main optional: false - name: trollimage @@ -11104,14 +11064,14 @@ package: libstdcxx-ng: '>=12' numpy: '>=1.19,<3' pillow: '' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* rasterio: '' xarray: '' - url: https://conda.anaconda.org/conda-forge/linux-64/trollimage-1.24.0-py311h14de704_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/trollimage-1.24.0-py312h1d6d2e6_0.conda hash: - md5: 1ffd573d4a179f4d684ebbd8e1bbe4ff - sha256: 43e0f30dea6973b883d42b2df7dc157d5d23a67aec03ce70668f1a616c9f9aa8 + md5: 0ae32d6c1c86cf0f25415dc01787570b + sha256: 72127fcb8ed2f128620eaf36df9652f44d045015d8dcf53ba16903fbc8e7396a category: main optional: false - name: trollsift @@ -11259,12 +11219,12 @@ package: dependencies: libgcc-ng: '>=12' libstdcxx-ng: '>=12' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* - url: https://conda.anaconda.org/conda-forge/linux-64/ujson-5.10.0-py311h4332511_0.conda + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* + url: https://conda.anaconda.org/conda-forge/linux-64/ujson-5.10.0-py312h7070661_0.conda hash: - md5: 442a260df22ffad7f666c7e3f119b5ab - sha256: 75a6fcf04364c93ad277b2606fe8338ae056ae3f56f6513ccfd1b95d93353786 + md5: dd19f5820a3fd57aea70aaf88e6dd191 + sha256: 36c39df244b96e501300ff9f11fb9648e9d82ea8a33ebb9afa17795e08875c0d category: main optional: false - name: uri-template @@ -11293,17 +11253,17 @@ package: category: main optional: false - name: urllib3 - version: 1.26.19 + version: 2.2.2 manager: conda platform: linux-64 dependencies: brotli-python: '>=1.0.9' pysocks: '>=1.5.6,<2.0,!=1.5.7' python: '>=3.7' - url: https://conda.anaconda.org/conda-forge/noarch/urllib3-1.26.19-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_0.conda hash: - md5: 6bb37c314b3cc1515dcf086ffe01c46e - sha256: 543ebab5241418a4e0d4d9e356ef13e4361504810a067a01481660bb35eb5643 + md5: 92cdb6fe54b78739ad70637e4f0deb07 + sha256: 8cd972048f297b8e0601158ce352f5ca9510dda9f2706a46560220aa58b9f038 category: main optional: false - name: uvicorn @@ -11313,12 +11273,12 @@ package: dependencies: click: '>=7.0' h11: '>=0.8' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* - url: https://conda.anaconda.org/conda-forge/linux-64/uvicorn-0.30.1-py311h38be061_0.conda + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* + url: https://conda.anaconda.org/conda-forge/linux-64/uvicorn-0.30.1-py312h7900ff3_0.conda hash: - md5: af46963a46967af0c02c52fbbbc48d70 - sha256: a8afbed59707278f9dbde384c1b97b5d1f469299cae2e4a06920f27d09f989f6 + md5: 5bfc9003c6fbaa658f513f9c41bd2446 + sha256: 36eafb2f2c03eb543a0c5d9bfe60061b91e59844bef00bbf643bd4c47b8e576d category: main optional: false - name: watchfiles @@ -11328,12 +11288,12 @@ package: dependencies: anyio: '>=3.0.0' libgcc-ng: '>=12' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* - url: https://conda.anaconda.org/conda-forge/linux-64/watchfiles-0.22.0-py311h5ecf98a_0.conda + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* + url: https://conda.anaconda.org/conda-forge/linux-64/watchfiles-0.22.0-py312h4413252_0.conda hash: - md5: 23e2f92fa88726f78dd6dacb5a7c0735 - sha256: a6cc738e4b3fd1835e8407299684d8a910145b5435eace5641bee6584c9c5b8a + md5: f43dd75a32b688e1ed5bda2e4fee2749 + sha256: 6d5380c695f5e0d5a5bc1913053816a497c53116247704829300873b2317a918 category: main optional: false - name: watermark @@ -11480,12 +11440,12 @@ package: platform: linux-64 dependencies: libgcc-ng: '>=12' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* - url: https://conda.anaconda.org/conda-forge/linux-64/wrapt-1.16.0-py311h459d7ec_0.conda + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* + url: https://conda.anaconda.org/conda-forge/linux-64/wrapt-1.16.0-py312h98912ed_0.conda hash: - md5: 6669b5529d206c1f880b642cdd17ae05 - sha256: 6587e0b7d42368f767172b239a755fcf6363d91348faf9b7ab5743585369fc58 + md5: fa957a1c7bee7e47ad44633caf7be8bc + sha256: dc8431b343961347ad93b33d2d8270e8c15d8825382f4f2540835c94aba2de05 category: main optional: false - name: x264 @@ -11612,25 +11572,6 @@ package: sha256: e181b350dcd091addfab9636e32c2c2a5631f5345fefeda6ce0c5f5272f946e5 category: main optional: false -- name: xcape - version: 0.1.4 - manager: conda - platform: linux-64 - dependencies: - dask: '' - libgcc-ng: '>=12' - libgfortran-ng: '' - libgfortran5: '>=10.4.0' - numpy: '>=1.23.4,<2.0a0' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* - xarray: '>=0.14.1' - url: https://conda.anaconda.org/conda-forge/linux-64/xcape-0.1.4-py311ha29c927_3.tar.bz2 - hash: - md5: 5c0f7517ea92555ee9a040fd8fb8b4fa - sha256: 7bf7120bc45b6b3b2ea981ca26a63129ebd94007747209076df68ddaeebb2fe2 - category: main - optional: false - name: xclim version: 0.50.0 manager: conda @@ -12106,12 +12047,12 @@ package: idna: '>=2.0' libgcc-ng: '>=12' multidict: '>=4.0' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* - url: https://conda.anaconda.org/conda-forge/linux-64/yarl-1.9.4-py311h459d7ec_0.conda + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* + url: https://conda.anaconda.org/conda-forge/linux-64/yarl-1.9.4-py312h98912ed_0.conda hash: - md5: fff0f2058e9d86c8bf5848ee93917a8d - sha256: 673e4a626e9e7d661154e5609f696c0c8a9247087f5c8b7744cfbb4fe0872713 + md5: ec3eb4803df33e90a41bc216a68d02f1 + sha256: 7bf7e32c5a18a1c5d21e0b7891133fb0cd38774f8014acdc5b548c601d4d47c3 category: main optional: false - name: zarr diff --git a/ml-notebook/packages.txt b/ml-notebook/packages.txt index a3b2892a..5838c5a4 100644 --- a/ml-notebook/packages.txt +++ b/ml-notebook/packages.txt @@ -45,8 +45,7 @@ aws-c-sdkutils==0.1.16 aws-checksums==0.1.18 aws-crt-cpp==0.26.12 aws-sdk-cpp==1.11.329 -awscli==2.17.0 -awscrt==0.20.10 +awscli==1.32.106 azure-core==1.30.2 azure-core-cpp==1.12.0 azure-datalake-store==0.0.51 @@ -113,7 +112,7 @@ colorspacious==1.1.2 comm==0.2.2 configobj==5.0.8 contourpy==1.2.1 -cryptography==40.0.2 +cryptography==42.0.8 cuda-cccl_linux-64==12.5.39 cuda-crt-dev_linux-64==12.5.40 cuda-crt-tools==12.5.40 @@ -155,13 +154,12 @@ defusedxml==0.7.1 descartes==1.1.0 dill==0.3.8 distributed==2024.6.2 -distro==1.8.0 dm-tree==0.1.8 dnspython==2.6.1 docopt==0.6.2 docrep==0.3.2 docstring-to-markdown==0.15 -docutils==0.19 +docutils==0.16 donfig==0.8.1.post1 earthaccess==0.9.0 eccodes==2.35.0 @@ -270,8 +268,8 @@ icu==73.2 idna==3.7 imagecodecs==2024.6.1 imageio==2.34.1 -importlib-metadata==7.2.0 -importlib_metadata==7.2.0 +importlib-metadata==7.2.1 +importlib_metadata==7.2.1 importlib_resources==6.4.0 iniconfig==2.0.0 intake==2.0.5 @@ -284,7 +282,7 @@ ipykernel==6.29.4 ipyleaflet==0.19.1 ipympl==0.9.4 ipyspin==1.0.1 -ipython==8.17.2 +ipython==8.25.0 ipython_genutils==0.2.0 ipytree==0.2.2 ipyurl==0.1.2 @@ -422,6 +420,7 @@ libopenvino-tensorflow-lite-frontend==2024.2.0 libopus==1.3.1 libparquet==16.1.0 libpciaccess==0.18 +libpnetcdf==1.13.0 libpng==1.6.43 libpq==16.3 libprotobuf==4.25.3 @@ -482,6 +481,8 @@ minizip==4.0.7 mistune==3.0.2 ml_dtypes==0.3.2 morecantile==5.3.0 +mpi==1.0 +mpich==4.2.1 msal==1.29.0 msal_extensions==1.1.0 msgpack-python==1.0.8 @@ -542,6 +543,7 @@ panel==1.4.4 pangeo-dask==2024.06.21 pangeo-notebook==2024.06.21 pango==1.54.0 +parallelio==2.6.2 param==2.1.0 parcels==3.0.3 parso==0.8.4 @@ -553,7 +555,7 @@ pexpect==4.9.0 pickleshare==0.7.5 pillow==10.3.0 pint==0.23 -pint-xarray==0.3 +pint-xarray==0.4 pip==24.0 pixman==0.43.2 pkgutil-resolve-name==1.3.10 @@ -570,8 +572,7 @@ pqdm==0.2.0 proj==9.4.1 prometheus_client==0.20.0 promise==2.3 -prompt-toolkit==3.0.38 -prompt_toolkit==3.0.38 +prompt-toolkit==3.0.47 properscoring==0.1 proto-plus==1.23.0 protobuf==4.25.3 @@ -602,7 +603,7 @@ pyjwt==2.8.0 pykdtree==1.3.12 pymbolic==2022.2 pynvml==11.5.0 -pyopenssl==23.1.1 +pyopenssl==24.0.0 pyorbital==1.8.2 pyparsing==3.1.2 pyproj==3.6.1 @@ -613,10 +614,10 @@ pyspectral==0.13.1 pystac==1.10.1 pystac-client==0.8.1 pytest==8.2.2 -python==3.11.9 +python==3.12.4 python-blosc==1.11.1 python-cmr==0.11.0 -python-dateutil==2.8.2 +python-dateutil==2.9.0 python-dotenv==1.0.1 python-eccodes==1.7.1 python-fastjsonschema==2.20.0 @@ -632,7 +633,7 @@ python-lsp-server-base==1.11.0 python-multipart==0.0.9 python-tzdata==2024.1 python-xxhash==3.4.1 -python_abi==3.11 +python_abi==3.12 pytools==2024.1.5 pytz==2024.1 pyu2f==0.1.5 @@ -654,12 +655,9 @@ rfc3986-validator==0.1.1 rich==13.7.1 rio-cogeo==5.3.0 rioxarray==0.15.6 -roaring-landmask==0.7.1 rpds-py==0.18.1 -rsa==4.9 +rsa==4.7.2 rtree==1.2.0 -ruamel.yaml==0.17.21 -ruamel.yaml.clib==0.2.7 ruff==0.4.10 s2n==1.4.16 s3fs==2024.6.0 @@ -720,7 +718,7 @@ tornado==6.4.1 tqdm==4.66.4 traitlets==5.14.3 traittypes==0.2.1 -trajan==0.6.1 +trajan==0.3.2 trollimage==1.24.0 trollsift==0.5.1 typer==0.12.3 @@ -736,7 +734,7 @@ uc-micro-py==1.0.3 ujson==5.10.0 uri-template==1.3.0 uriparser==0.9.8 -urllib3==1.26.19 +urllib3==2.2.2 uvicorn==0.30.1 watchfiles==0.22.0 watermark==2.4.3 @@ -759,7 +757,6 @@ xarray-spatial==0.4.0 xarray_leaflet==0.2.3 xarrayutils==2.0.1 xbatcher==0.3.0 -xcape==0.1.4 xclim==0.50.0 xerces-c==3.2.5 xesmf==0.8.5 diff --git a/pangeo-notebook/conda-linux-64.lock b/pangeo-notebook/conda-linux-64.lock index b85ff871..27bb7a3c 100644 --- a/pangeo-notebook/conda-linux-64.lock +++ b/pangeo-notebook/conda-linux-64.lock @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 3c2e76c2cf746acabedf065d72302ab5e82449e127170d9c9db3e30f20be9f97 +# input_hash: a86d9f5a7082ddd1e4b0d54c0976602ca4abccbef7afca63f38a40f2bc821a2a @EXPLICIT https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81 https://conda.anaconda.org/conda-forge/linux-64/_py-xgboost-mutex-2.0-gpu_0.tar.bz2#7702188077361f43a4d61e64c694f850 @@ -15,19 +15,20 @@ https://conda.anaconda.org/conda-forge/linux-64/git-lfs-3.5.1-ha770c72_0.conda#b https://conda.anaconda.org/conda-forge/noarch/kernel-headers_linux-64-2.6.32-he073ed8_17.conda#d731b543793afc0433c4fd593e693fce https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-hf3520f5_7.conda#b80f2f396ca2c28b8c14c437a4ed1e74 https://conda.anaconda.org/conda-forge/linux-64/libboost-headers-1.85.0-ha770c72_1.conda#012455a6eddcbf487ef0ddd1715f0b80 +https://conda.anaconda.org/conda-forge/linux-64/mpi-1.0-mpich.tar.bz2#c1fcff3417b5a22bbc4cf6e8c23648cf https://conda.anaconda.org/conda-forge/noarch/poppler-data-0.4.12-hd8ed1ab_0.conda#d8d7293c5b37f39b2ac32940621c6592 -https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.11-4_cp311.conda#d786502c97404c94d7d58d258a445a65 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libgcc-ng: '>=12' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* - url: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.4.1-py311h331c9d8_0.conda + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* + url: https://conda.anaconda.org/conda-forge/linux-64/tornado-6.4.1-py312h9a8786e_0.conda hash: - md5: e29e451c96bf8e81a5760b7565c6ed2c - sha256: 753f5496ba6a69fc52bd58e55296d789b964d1ba1539420bfc10bcd0e1d016fb + md5: fd9c83fde763b494f07acee1404c280e + sha256: fcf92fde5bac323921d97f8f2e66ee134ea01094f14d4e99c56f98187241c638 category: main optional: false - name: tqdm @@ -9888,27 +9851,24 @@ package: category: main optional: false - name: trajan - version: 0.6.1 + version: 0.3.2 manager: conda platform: linux-64 dependencies: - bottleneck: '>=1.3' cartopy: '>=0.21' cf_xarray: '>=0.8' click: '>=8' matplotlib-base: '>=3.5' netcdf4: '>=1.6' numpy: '>=1.23' - pandas: '>=2' pyproj: '>=2.3' python: '>=3.8' - roaring-landmask: '>=0.7' scipy: '>=1.9' xarray: '>=2022.6.0' - url: https://conda.anaconda.org/conda-forge/noarch/trajan-0.6.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/trajan-0.3.2-pyhd8ed1ab_0.conda hash: - md5: 2aa4a48c5c7feae8ec84b6f30ce453ec - sha256: f37911a1a32ebad8e4687cec258785b3c30329cb93c8bd00a7b78f9bb84592b8 + md5: 5b7c5cccf725c998aaad7c4a812bcb25 + sha256: 3793318534fb8643ebe08b4ad899d0a0669f9c8337a0d6c82389738162f92d1c category: main optional: false - name: trollimage @@ -9921,14 +9881,14 @@ package: libstdcxx-ng: '>=12' numpy: '>=1.19,<3' pillow: '' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* rasterio: '' xarray: '' - url: https://conda.anaconda.org/conda-forge/linux-64/trollimage-1.24.0-py311h14de704_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/trollimage-1.24.0-py312h1d6d2e6_0.conda hash: - md5: 1ffd573d4a179f4d684ebbd8e1bbe4ff - sha256: 43e0f30dea6973b883d42b2df7dc157d5d23a67aec03ce70668f1a616c9f9aa8 + md5: 0ae32d6c1c86cf0f25415dc01787570b + sha256: 72127fcb8ed2f128620eaf36df9652f44d045015d8dcf53ba16903fbc8e7396a category: main optional: false - name: trollsift @@ -10076,12 +10036,12 @@ package: dependencies: libgcc-ng: '>=12' libstdcxx-ng: '>=12' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* - url: https://conda.anaconda.org/conda-forge/linux-64/ujson-5.10.0-py311h4332511_0.conda + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* + url: https://conda.anaconda.org/conda-forge/linux-64/ujson-5.10.0-py312h7070661_0.conda hash: - md5: 442a260df22ffad7f666c7e3f119b5ab - sha256: 75a6fcf04364c93ad277b2606fe8338ae056ae3f56f6513ccfd1b95d93353786 + md5: dd19f5820a3fd57aea70aaf88e6dd191 + sha256: 36c39df244b96e501300ff9f11fb9648e9d82ea8a33ebb9afa17795e08875c0d category: main optional: false - name: uri-template @@ -10110,17 +10070,17 @@ package: category: main optional: false - name: urllib3 - version: 1.26.19 + version: 2.2.2 manager: conda platform: linux-64 dependencies: brotli-python: '>=1.0.9' pysocks: '>=1.5.6,<2.0,!=1.5.7' python: '>=3.7' - url: https://conda.anaconda.org/conda-forge/noarch/urllib3-1.26.19-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_0.conda hash: - md5: 6bb37c314b3cc1515dcf086ffe01c46e - sha256: 543ebab5241418a4e0d4d9e356ef13e4361504810a067a01481660bb35eb5643 + md5: 92cdb6fe54b78739ad70637e4f0deb07 + sha256: 8cd972048f297b8e0601158ce352f5ca9510dda9f2706a46560220aa58b9f038 category: main optional: false - name: uvicorn @@ -10130,12 +10090,12 @@ package: dependencies: click: '>=7.0' h11: '>=0.8' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* - url: https://conda.anaconda.org/conda-forge/linux-64/uvicorn-0.30.1-py311h38be061_0.conda + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* + url: https://conda.anaconda.org/conda-forge/linux-64/uvicorn-0.30.1-py312h7900ff3_0.conda hash: - md5: af46963a46967af0c02c52fbbbc48d70 - sha256: a8afbed59707278f9dbde384c1b97b5d1f469299cae2e4a06920f27d09f989f6 + md5: 5bfc9003c6fbaa658f513f9c41bd2446 + sha256: 36eafb2f2c03eb543a0c5d9bfe60061b91e59844bef00bbf643bd4c47b8e576d category: main optional: false - name: watchfiles @@ -10145,12 +10105,12 @@ package: dependencies: anyio: '>=3.0.0' libgcc-ng: '>=12' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* - url: https://conda.anaconda.org/conda-forge/linux-64/watchfiles-0.22.0-py311h5ecf98a_0.conda + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* + url: https://conda.anaconda.org/conda-forge/linux-64/watchfiles-0.22.0-py312h4413252_0.conda hash: - md5: 23e2f92fa88726f78dd6dacb5a7c0735 - sha256: a6cc738e4b3fd1835e8407299684d8a910145b5435eace5641bee6584c9c5b8a + md5: f43dd75a32b688e1ed5bda2e4fee2749 + sha256: 6d5380c695f5e0d5a5bc1913053816a497c53116247704829300873b2317a918 category: main optional: false - name: watermark @@ -10284,12 +10244,12 @@ package: platform: linux-64 dependencies: libgcc-ng: '>=12' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* - url: https://conda.anaconda.org/conda-forge/linux-64/wrapt-1.16.0-py311h459d7ec_0.conda + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* + url: https://conda.anaconda.org/conda-forge/linux-64/wrapt-1.16.0-py312h98912ed_0.conda hash: - md5: 6669b5529d206c1f880b642cdd17ae05 - sha256: 6587e0b7d42368f767172b239a755fcf6363d91348faf9b7ab5743585369fc58 + md5: fa957a1c7bee7e47ad44633caf7be8bc + sha256: dc8431b343961347ad93b33d2d8270e8c15d8825382f4f2540835c94aba2de05 category: main optional: false - name: x264 @@ -10416,25 +10376,6 @@ package: sha256: e181b350dcd091addfab9636e32c2c2a5631f5345fefeda6ce0c5f5272f946e5 category: main optional: false -- name: xcape - version: 0.1.4 - manager: conda - platform: linux-64 - dependencies: - dask: '' - libgcc-ng: '>=12' - libgfortran-ng: '' - libgfortran5: '>=10.4.0' - numpy: '>=1.23.4,<2.0a0' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* - xarray: '>=0.14.1' - url: https://conda.anaconda.org/conda-forge/linux-64/xcape-0.1.4-py311ha29c927_3.tar.bz2 - hash: - md5: 5c0f7517ea92555ee9a040fd8fb8b4fa - sha256: 7bf7120bc45b6b3b2ea981ca26a63129ebd94007747209076df68ddaeebb2fe2 - category: main - optional: false - name: xclim version: 0.50.0 manager: conda @@ -10910,12 +10851,12 @@ package: idna: '>=2.0' libgcc-ng: '>=12' multidict: '>=4.0' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* - url: https://conda.anaconda.org/conda-forge/linux-64/yarl-1.9.4-py311h459d7ec_0.conda + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* + url: https://conda.anaconda.org/conda-forge/linux-64/yarl-1.9.4-py312h98912ed_0.conda hash: - md5: fff0f2058e9d86c8bf5848ee93917a8d - sha256: 673e4a626e9e7d661154e5609f696c0c8a9247087f5c8b7744cfbb4fe0872713 + md5: ec3eb4803df33e90a41bc216a68d02f1 + sha256: 7bf7e32c5a18a1c5d21e0b7891133fb0cd38774f8014acdc5b548c601d4d47c3 category: main optional: false - name: zarr diff --git a/pangeo-notebook/environment.yml b/pangeo-notebook/environment.yml index a9a748e7..625e9fbd 100644 --- a/pangeo-notebook/environment.yml +++ b/pangeo-notebook/environment.yml @@ -112,7 +112,8 @@ dependencies: - xarray_leaflet - xarray-spatial - xbatcher - - xcape + # https://github.com/conda-forge/xcape-feedstock/pull/22 + #- xcape - xclim - xesmf - xgboost diff --git a/pangeo-notebook/packages.txt b/pangeo-notebook/packages.txt index d8bdaf0c..dd2f0bb1 100644 --- a/pangeo-notebook/packages.txt +++ b/pangeo-notebook/packages.txt @@ -42,8 +42,7 @@ aws-c-sdkutils==0.1.16 aws-checksums==0.1.18 aws-crt-cpp==0.26.12 aws-sdk-cpp==1.11.329 -awscli==2.17.0 -awscrt==0.20.10 +awscli==1.32.106 azure-core==1.30.2 azure-core-cpp==1.12.0 azure-datalake-store==0.0.51 @@ -109,7 +108,7 @@ colorspacious==1.1.2 comm==0.2.2 configobj==5.0.8 contourpy==1.2.1 -cryptography==40.0.2 +cryptography==42.0.8 cuda-version==11.8 cycler==0.12.1 cython==3.0.10 @@ -128,12 +127,11 @@ decorator==5.1.1 defusedxml==0.7.1 descartes==1.1.0 distributed==2024.6.2 -distro==1.8.0 dnspython==2.6.1 docopt==0.6.2 docrep==0.3.2 docstring-to-markdown==0.15 -docutils==0.19 +docutils==0.16 donfig==0.8.1.post1 earthaccess==0.9.0 eccodes==2.35.0 @@ -235,8 +233,8 @@ icu==73.2 idna==3.7 imagecodecs==2024.6.1 imageio==2.34.1 -importlib-metadata==7.2.0 -importlib_metadata==7.2.0 +importlib-metadata==7.2.1 +importlib_metadata==7.2.1 importlib_resources==6.4.0 iniconfig==2.0.0 intake==2.0.5 @@ -249,7 +247,7 @@ ipykernel==6.29.4 ipyleaflet==0.19.1 ipympl==0.9.4 ipyspin==1.0.1 -ipython==8.17.2 +ipython==8.25.0 ipython_genutils==0.2.0 ipytree==0.2.2 ipyurl==0.1.2 @@ -374,6 +372,7 @@ libopenvino-tensorflow-lite-frontend==2024.2.0 libopus==1.3.1 libparquet==16.1.0 libpciaccess==0.18 +libpnetcdf==1.13.0 libpng==1.6.43 libpq==16.3 libprotobuf==4.25.3 @@ -431,6 +430,8 @@ metpy==1.6.2 minizip==4.0.7 mistune==3.0.2 morecantile==5.3.0 +mpi==1.0 +mpich==4.2.1 msal==1.29.0 msal_extensions==1.1.0 msgpack-python==1.0.8 @@ -484,6 +485,7 @@ panel==1.4.4 pangeo-dask==2024.06.21 pangeo-notebook==2024.06.21 pango==1.54.0 +parallelio==2.6.2 param==2.1.0 parcels==3.0.3 parso==0.8.4 @@ -495,7 +497,7 @@ pexpect==4.9.0 pickleshare==0.7.5 pillow==10.3.0 pint==0.23 -pint-xarray==0.3 +pint-xarray==0.4 pip==24.0 pixman==0.43.2 pkgutil-resolve-name==1.3.10 @@ -511,8 +513,7 @@ postgresql==16.3 pqdm==0.2.0 proj==9.4.1 prometheus_client==0.20.0 -prompt-toolkit==3.0.38 -prompt_toolkit==3.0.38 +prompt-toolkit==3.0.47 properscoring==0.1 proto-plus==1.23.0 protobuf==4.25.3 @@ -541,7 +542,7 @@ pygobject==3.48.2 pyjwt==2.8.0 pykdtree==1.3.12 pymbolic==2022.2 -pyopenssl==23.1.1 +pyopenssl==24.0.0 pyorbital==1.8.2 pyparsing==3.1.2 pyproj==3.6.1 @@ -552,10 +553,10 @@ pyspectral==0.13.1 pystac==1.10.1 pystac-client==0.8.1 pytest==8.2.2 -python==3.11.9 +python==3.12.4 python-blosc==1.11.1 python-cmr==0.11.0 -python-dateutil==2.8.2 +python-dateutil==2.9.0 python-dotenv==1.0.1 python-eccodes==1.7.1 python-fastjsonschema==2.20.0 @@ -570,7 +571,7 @@ python-lsp-server-base==1.11.0 python-multipart==0.0.9 python-tzdata==2024.1 python-xxhash==3.4.1 -python_abi==3.11 +python_abi==3.12 pytools==2024.1.5 pytz==2024.1 pyu2f==0.1.5 @@ -591,12 +592,9 @@ rfc3986-validator==0.1.1 rich==13.7.1 rio-cogeo==5.3.0 rioxarray==0.15.6 -roaring-landmask==0.7.1 rpds-py==0.18.1 -rsa==4.9 +rsa==4.7.2 rtree==1.2.0 -ruamel.yaml==0.17.21 -ruamel.yaml.clib==0.2.7 ruff==0.4.10 s2n==1.4.16 s3fs==2024.6.0 @@ -648,7 +646,7 @@ tornado==6.4.1 tqdm==4.66.4 traitlets==5.14.3 traittypes==0.2.1 -trajan==0.6.1 +trajan==0.3.2 trollimage==1.24.0 trollsift==0.5.1 typer==0.12.3 @@ -664,7 +662,7 @@ uc-micro-py==1.0.3 ujson==5.10.0 uri-template==1.3.0 uriparser==0.9.8 -urllib3==1.26.19 +urllib3==2.2.2 uvicorn==0.30.1 watchfiles==0.22.0 watermark==2.4.3 @@ -686,7 +684,6 @@ xarray-spatial==0.4.0 xarray_leaflet==0.2.3 xarrayutils==2.0.1 xbatcher==0.3.0 -xcape==0.1.4 xclim==0.50.0 xerces-c==3.2.5 xesmf==0.8.5 diff --git a/pytorch-notebook/conda-linux-64.lock b/pytorch-notebook/conda-linux-64.lock index c49be148..94410664 100644 --- a/pytorch-notebook/conda-linux-64.lock +++ b/pytorch-notebook/conda-linux-64.lock @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: 1c19674b2d02892ab7b618a750d69ecc841036680af2ebf2f0ccb6a4e8fd40e4 +# input_hash: 626c47440af6d37594fa978317104dd19f899196be15a72d024987494031af63 @EXPLICIT https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81 https://conda.anaconda.org/conda-forge/linux-64/_py-xgboost-mutex-2.0-gpu_0.tar.bz2#7702188077361f43a4d61e64c694f850 @@ -15,20 +15,21 @@ https://conda.anaconda.org/conda-forge/linux-64/git-lfs-3.5.1-ha770c72_0.conda#b https://conda.anaconda.org/conda-forge/noarch/kernel-headers_linux-64-2.6.32-he073ed8_17.conda#d731b543793afc0433c4fd593e693fce https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-hf3520f5_7.conda#b80f2f396ca2c28b8c14c437a4ed1e74 https://conda.anaconda.org/conda-forge/linux-64/libboost-headers-1.85.0-ha770c72_1.conda#012455a6eddcbf487ef0ddd1715f0b80 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'>=12' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* - url: https://conda.anaconda.org/conda-forge/linux-64/ujson-5.10.0-py311h4332511_0.conda + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* + url: https://conda.anaconda.org/conda-forge/linux-64/ujson-5.10.0-py312h7070661_0.conda hash: - md5: 442a260df22ffad7f666c7e3f119b5ab - sha256: 75a6fcf04364c93ad277b2606fe8338ae056ae3f56f6513ccfd1b95d93353786 + md5: dd19f5820a3fd57aea70aaf88e6dd191 + sha256: 36c39df244b96e501300ff9f11fb9648e9d82ea8a33ebb9afa17795e08875c0d category: main optional: false - name: uri-template @@ -10917,17 +10877,17 @@ package: category: main optional: false - name: urllib3 - version: 1.26.19 + version: 2.2.2 manager: conda platform: linux-64 dependencies: brotli-python: '>=1.0.9' pysocks: '>=1.5.6,<2.0,!=1.5.7' python: '>=3.7' - url: https://conda.anaconda.org/conda-forge/noarch/urllib3-1.26.19-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_0.conda hash: - md5: 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- python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* - url: https://conda.anaconda.org/conda-forge/linux-64/watchfiles-0.22.0-py311h5ecf98a_0.conda + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* + url: https://conda.anaconda.org/conda-forge/linux-64/watchfiles-0.22.0-py312h4413252_0.conda hash: - md5: 23e2f92fa88726f78dd6dacb5a7c0735 - sha256: a6cc738e4b3fd1835e8407299684d8a910145b5435eace5641bee6584c9c5b8a + md5: f43dd75a32b688e1ed5bda2e4fee2749 + sha256: 6d5380c695f5e0d5a5bc1913053816a497c53116247704829300873b2317a918 category: main optional: false - name: watermark @@ -11091,12 +11051,12 @@ package: platform: linux-64 dependencies: libgcc-ng: '>=12' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* - url: https://conda.anaconda.org/conda-forge/linux-64/wrapt-1.16.0-py311h459d7ec_0.conda + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* + url: https://conda.anaconda.org/conda-forge/linux-64/wrapt-1.16.0-py312h98912ed_0.conda hash: - md5: 6669b5529d206c1f880b642cdd17ae05 - sha256: 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'>=4.0' - python: '>=3.11,<3.12.0a0' - python_abi: 3.11.* - url: https://conda.anaconda.org/conda-forge/linux-64/yarl-1.9.4-py311h459d7ec_0.conda + python: '>=3.12,<3.13.0a0' + python_abi: 3.12.* + url: https://conda.anaconda.org/conda-forge/linux-64/yarl-1.9.4-py312h98912ed_0.conda hash: - md5: fff0f2058e9d86c8bf5848ee93917a8d - sha256: 673e4a626e9e7d661154e5609f696c0c8a9247087f5c8b7744cfbb4fe0872713 + md5: ec3eb4803df33e90a41bc216a68d02f1 + sha256: 7bf7e32c5a18a1c5d21e0b7891133fb0cd38774f8014acdc5b548c601d4d47c3 category: main optional: false - name: zarr diff --git a/pytorch-notebook/packages.txt b/pytorch-notebook/packages.txt index 84a5e7e3..97a3cfcb 100644 --- a/pytorch-notebook/packages.txt +++ b/pytorch-notebook/packages.txt @@ -43,8 +43,7 @@ aws-c-sdkutils==0.1.16 aws-checksums==0.1.18 aws-crt-cpp==0.26.12 aws-sdk-cpp==1.11.329 -awscli==2.17.0 -awscrt==0.20.10 +awscli==1.32.106 azure-core==1.30.2 azure-core-cpp==1.12.0 azure-datalake-store==0.0.51 @@ -110,7 +109,7 @@ colorspacious==1.1.2 comm==0.2.2 configobj==5.0.8 contourpy==1.2.1 -cryptography==40.0.2 +cryptography==42.0.8 cuda-cudart==12.5.39 cuda-cudart_linux-64==12.5.39 cuda-nvrtc==12.5.40 @@ -134,12 +133,11 @@ decorator==5.1.1 defusedxml==0.7.1 descartes==1.1.0 distributed==2024.6.2 -distro==1.8.0 dnspython==2.6.1 docopt==0.6.2 docrep==0.3.2 docstring-to-markdown==0.15 -docutils==0.19 +docutils==0.16 donfig==0.8.1.post1 earthaccess==0.9.0 eccodes==2.35.0 @@ -247,8 +245,8 @@ icu==73.2 idna==3.7 imagecodecs==2024.6.1 imageio==2.34.1 -importlib-metadata==7.2.0 -importlib_metadata==7.2.0 +importlib-metadata==7.2.1 +importlib_metadata==7.2.1 importlib_resources==6.4.0 iniconfig==2.0.0 intake==2.0.5 @@ -261,7 +259,7 @@ ipykernel==6.29.4 ipyleaflet==0.19.1 ipympl==0.9.4 ipyspin==1.0.1 -ipython==8.17.2 +ipython==8.25.0 ipython_genutils==0.2.0 ipytree==0.2.2 ipyurl==0.1.2 @@ -397,6 +395,7 @@ libopenvino-tensorflow-lite-frontend==2024.2.0 libopus==1.3.1 libparquet==16.1.0 libpciaccess==0.18 +libpnetcdf==1.13.0 libpng==1.6.43 libpq==16.3 libprotobuf==4.25.3 @@ -462,6 +461,8 @@ mkl==2023.2.0 morecantile==5.3.0 mpc==1.3.1 mpfr==4.2.1 +mpi==1.0 +mpich==4.2.1 mpmath==1.3.0 msal==1.29.0 msal_extensions==1.1.0 @@ -519,6 +520,7 @@ panel==1.4.4 pangeo-dask==2024.06.21 pangeo-notebook==2024.06.21 pango==1.54.0 +parallelio==2.6.2 param==2.1.0 parcels==3.0.3 parso==0.8.4 @@ -530,7 +532,7 @@ pexpect==4.9.0 pickleshare==0.7.5 pillow==10.3.0 pint==0.23 -pint-xarray==0.3 +pint-xarray==0.4 pip==24.0 pixman==0.43.2 pkgutil-resolve-name==1.3.10 @@ -547,8 +549,7 @@ pqdm==0.2.0 pretrainedmodels==0.7.4 proj==9.4.1 prometheus_client==0.20.0 -prompt-toolkit==3.0.38 -prompt_toolkit==3.0.38 +prompt-toolkit==3.0.47 properscoring==0.1 proto-plus==1.23.0 protobuf==4.25.3 @@ -578,7 +579,7 @@ pyjwt==2.8.0 pykdtree==1.3.12 pymbolic==2022.2 pynvml==11.5.0 -pyopenssl==23.1.1 +pyopenssl==24.0.0 pyorbital==1.8.2 pyparsing==3.1.2 pyproj==3.6.1 @@ -589,10 +590,10 @@ pyspectral==0.13.1 pystac==1.10.1 pystac-client==0.8.1 pytest==8.2.2 -python==3.11.9 +python==3.12.4 python-blosc==1.11.1 python-cmr==0.11.0 -python-dateutil==2.8.2 +python-dateutil==2.9.0 python-dotenv==1.0.1 python-eccodes==1.7.1 python-fastjsonschema==2.20.0 @@ -607,7 +608,7 @@ python-lsp-server-base==1.11.0 python-multipart==0.0.9 python-tzdata==2024.1 python-xxhash==3.4.1 -python_abi==3.11 +python_abi==3.12 pytools==2024.1.5 pytorch==2.3.1 pytorch-lightning==2.3.0 @@ -630,12 +631,9 @@ rfc3986-validator==0.1.1 rich==13.7.1 rio-cogeo==5.3.0 rioxarray==0.15.6 -roaring-landmask==0.7.1 rpds-py==0.18.1 -rsa==4.9 +rsa==4.7.2 rtree==1.2.0 -ruamel.yaml==0.17.21 -ruamel.yaml.clib==0.2.7 ruff==0.4.10 s2n==1.4.16 s3fs==2024.6.0 @@ -695,7 +693,7 @@ tornado==6.4.1 tqdm==4.66.4 traitlets==5.14.3 traittypes==0.2.1 -trajan==0.6.1 +trajan==0.3.2 trollimage==1.24.0 trollsift==0.5.1 typeguard==2.13.3 @@ -712,7 +710,7 @@ uc-micro-py==1.0.3 ujson==5.10.0 uri-template==1.3.0 uriparser==0.9.8 -urllib3==1.26.19 +urllib3==2.2.2 uvicorn==0.30.1 watchfiles==0.22.0 watermark==2.4.3 @@ -734,7 +732,6 @@ xarray-spatial==0.4.0 xarray_leaflet==0.2.3 xarrayutils==2.0.1 xbatcher==0.3.0 -xcape==0.1.4 xclim==0.50.0 xerces-c==3.2.5 xesmf==0.8.5