diff --git a/base-notebook/conda-linux-64.lock b/base-notebook/conda-linux-64.lock index d12dc81f..90d27243 100644 --- a/base-notebook/conda-linux-64.lock +++ b/base-notebook/conda-linux-64.lock @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: bd1e105c379ec80d3824a4d437d9bc3eadd38005d1d8604e6d572eee10b8e90b +# input_hash: d3afe6674e4de910d40386a41ba5e01145f0ad53c3520cf75fd6d2a55e0946e4 @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/ca-certificates-2023.7.22-hbcca054_0.conda#a73ecd2988327ad4c8f2c331482917f2 @@ -13,7 +13,7 @@ https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2# https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h807b86a_2.conda#c28003b0be0494f9a7664389146716ff https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.9.4-hd590300_0.conda#8dacaf703f8e57aa0c4f0c5c8f4be39b https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h7f98852_4.tar.bz2#a1fd65c7ccbf10880423d82bca54eb54 -https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.20.1-hd590300_0.conda#6642e4faa4804be3a0e7edfefbd16595 +https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.20.1-hd590300_1.conda#2facbaf5ee1a56967aecaee89799160e https://conda.anaconda.org/conda-forge/linux-64/gflags-2.2.2-he1b5a44_1004.tar.bz2#cddaf2c63ea4a5901cf09524c490ecdc https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.1-h166bdaf_0.tar.bz2#30186d27e2c9fa62b45fb1476b7200e3 https://conda.anaconda.org/conda-forge/linux-64/lerc-4.0.0-h27087fc_0.tar.bz2#76bbff344f0134279f225174e9064c8f @@ -218,7 +218,7 @@ https://conda.anaconda.org/conda-forge/noarch/alembic-1.12.0-pyhd8ed1ab_0.conda# https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-23.1.0-pyhd8ed1ab_0.conda#3afef1f55a1366b4d3b6a0d92e2235e4 https://conda.anaconda.org/conda-forge/linux-64/aws-crt-cpp-0.24.3-h53d10bb_7.conda#746806daf7fe6383df9afc6ba32b18c9 https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.1.1-py311h9547e67_1.conda#52d3de443952d33c5cee6b24b172ce96 -https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.9.2-pyhd8ed1ab_0.conda#cce7eeb7eda0124af186a5e9ce9b0fca +https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.10.0-pyhd8ed1ab_0.conda#6b415b2cd4a106b8eb1632be126ede81 https://conda.anaconda.org/conda-forge/noarch/isoduration-20.11.0-pyhd8ed1ab_0.tar.bz2#4cb68948e0b8429534380243d063a27a https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.19.1-pyhd8ed1ab_0.conda#78aff5d2af74e6537c1ca73017f01f4f https://conda.anaconda.org/conda-forge/linux-64/jupyter_core-5.4.0-py311h38be061_0.conda#eb4ab2a92a2cc9715226382abb8ebaee @@ -229,7 +229,7 @@ https://conda.anaconda.org/conda-forge/noarch/pyopenssl-23.2.0-pyhd8ed1ab_1.cond https://conda.anaconda.org/conda-forge/linux-64/aws-sdk-cpp-1.11.182-h58fcd1b_1.conda#6c918b7dbae7fddf8dc17fe46b2c8580 https://conda.anaconda.org/conda-forge/noarch/bokeh-3.3.0-pyhd8ed1ab_0.conda#5d6ff9d18f0b611a7dc131f4a7444c2e https://conda.anaconda.org/conda-forge/noarch/certipy-0.1.3-py_0.tar.bz2#23486713ef5712923e7c57cae609b22e -https://conda.anaconda.org/conda-forge/noarch/distributed-2023.9.2-pyhd8ed1ab_0.conda#ddb4fd6105b4005b312625cef210ba67 +https://conda.anaconda.org/conda-forge/noarch/distributed-2023.10.0-pyhd8ed1ab_0.conda#3ecca3ba0a497f06e697777464a2cae9 https://conda.anaconda.org/conda-forge/noarch/jsonschema-with-format-nongpl-4.19.1-pyhd8ed1ab_0.conda#daca0665e6fe8a376e48b9f0b5865326 https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.4.0-pyhd8ed1ab_0.conda#554496685357ab0d69676cab8e8fb594 https://conda.anaconda.org/conda-forge/noarch/jupyter_telemetry-0.1.0-pyhd8ed1ab_1.tar.bz2#bb9ebdb6d5aa2622484aff1faceee181 @@ -244,17 +244,17 @@ https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.25.2-pyh2140261_0.cond https://conda.anaconda.org/conda-forge/noarch/ipywidgets-8.1.1-pyhd8ed1ab_0.conda#2605fae5ee27100e5f10037baebf4d41 https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.9.2-pyhd8ed1ab_0.conda#01e4314c780ca73759c694ce3ece281f https://conda.anaconda.org/conda-forge/linux-64/pyarrow-13.0.0-py311h39c9aba_11_cpu.conda#1d1fcce6ad64a319f6c8ad217313f52d -https://conda.anaconda.org/conda-forge/noarch/dask-2023.9.2-pyhd8ed1ab_0.conda#29e33df59c9eac1a599b9cd18d54b4d3 +https://conda.anaconda.org/conda-forge/noarch/dask-2023.10.0-pyhd8ed1ab_0.conda#0c85f5482dd283c2b9ca68d331edb471 https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.8.0-pyhd8ed1ab_0.conda#a750b082b9319e96556df4ee6023b068 -https://conda.anaconda.org/conda-forge/noarch/dask-gateway-2023.1.1-pyh8af1aa0_0.conda#cc31948b0296541ca2f4e7cd0f2ba966 +https://conda.anaconda.org/conda-forge/noarch/dask-gateway-2023.9.0-pyh8af1aa0_0.conda#99b9527f0fb7a1bd49858879fa9c4e2e https://conda.anaconda.org/conda-forge/noarch/jupyter-lsp-2.2.0-pyhd8ed1ab_0.conda#38589f4104d11f2a59ff01a9f4e3bfb3 https://conda.anaconda.org/conda-forge/noarch/jupyter-server-proxy-4.1.0-pyhd8ed1ab_0.conda#b404b1dc6ca2bbb66663507150cb6927 https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.25.0-pyhd8ed1ab_0.conda#a52834fa7e3d12abc5efdf06b2097a05 https://conda.anaconda.org/conda-forge/noarch/notebook-shim-0.2.3-pyhd8ed1ab_0.conda#67e0fe74c156267d9159e9133df7fd37 -https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.6-pyhd8ed1ab_0.conda#80bb1cc3b540790cb5afecd73c2d4d1f -https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.09.17-hd8ed1ab_0.conda#c4f081e4d9eb719894377d7cd0925c73 +https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.7-pyhd8ed1ab_0.conda#80318d83f33b3bf4e57b8533b7a6691d +https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.10.17-hd8ed1ab_0.conda#acd4bfa33d152952217e8ad5790cf46f https://conda.anaconda.org/conda-forge/noarch/dask-labextension-7.0.0-pyhd8ed1ab_0.conda#bccfda61b2c35a3cec53bd3417e3d783 https://conda.anaconda.org/conda-forge/noarch/jupyterhub-singleuser-4.0.2-pyh31011fe_0.conda#9eb773051ad8ecc804ed3bdec84ecce5 -https://conda.anaconda.org/conda-forge/noarch/notebook-7.0.4-pyhd8ed1ab_0.conda#9fe0b0f2e8a6dbae64947e90079ea54c +https://conda.anaconda.org/conda-forge/noarch/notebook-7.0.6-pyhd8ed1ab_0.conda#d60881c78a54cbf8042ae719f1f77a50 https://conda.anaconda.org/conda-forge/noarch/nbgitpuller-1.2.0-pyhd8ed1ab_0.conda#e74db5ccfcf794e3d67ec7c9c125a39a -https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.09.25-hd8ed1ab_0.conda#f5c6073b4df9054f49ac0d828e5919d2 +https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.10.21-hd8ed1ab_0.conda#d615e75de4532601342a82c6789098b4 diff --git a/base-notebook/conda-lock.yml b/base-notebook/conda-lock.yml index fa805f0b..91a023ea 100644 --- a/base-notebook/conda-lock.yml +++ b/base-notebook/conda-lock.yml @@ -13,7 +13,7 @@ version: 1 metadata: content_hash: - linux-64: bd1e105c379ec80d3824a4d437d9bc3eadd38005d1d8604e6d572eee10b8e90b + linux-64: d3afe6674e4de910d40386a41ba5e01145f0ad53c3520cf75fd6d2a55e0946e4 channels: - url: conda-forge used_env_vars: [] @@ -156,10 +156,10 @@ package: platform: linux-64 dependencies: libgcc-ng: '>=12' - url: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.20.1-hd590300_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.20.1-hd590300_1.conda hash: - md5: 6642e4faa4804be3a0e7edfefbd16595 - sha256: afe0f91314a1de2969bb7ebb92bf6c9d3326fb8cdbdc00d8111bad8952a8dc0f + md5: 2facbaf5ee1a56967aecaee89799160e + sha256: 1700d9ebfd3b21c8b50e12a502f26e015719e1f3dbb5d491b5be061cf148ca7a category: main optional: false - name: gflags @@ -2921,7 +2921,7 @@ package: category: main optional: false - name: dask-core - version: 2023.9.2 + version: 2023.10.0 manager: conda platform: linux-64 dependencies: @@ -2934,10 +2934,10 @@ package: python: '>=3.9' pyyaml: '>=5.3.1' toolz: '>=0.10.0' - url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.9.2-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.10.0-pyhd8ed1ab_0.conda hash: - md5: cce7eeb7eda0124af186a5e9ce9b0fca - sha256: b43c994185ca4a7c694ea519ae8a2df40dea6eb92ebc91d1018fed245f3cf693 + md5: 6b415b2cd4a106b8eb1632be126ede81 + sha256: b190a8d740bbd47b032566177cb0b7eed9caef2129b35a9b93ad733053b8baa3 category: main optional: false - name: isoduration @@ -3101,14 +3101,14 @@ package: category: main optional: false - name: distributed - version: 2023.9.2 + version: 2023.10.0 manager: conda platform: linux-64 dependencies: click: '>=8.0' cloudpickle: '>=1.5.0' cytoolz: '>=0.10.1' - dask-core: '>=2023.9.2,<2023.9.3.0a0' + dask-core: '>=2023.10.0,<2023.10.1.0a0' jinja2: '>=2.10.3' locket: '>=1.0.0' msgpack-python: '>=1.0.0' @@ -3122,10 +3122,10 @@ package: tornado: '>=6.0.4' urllib3: '>=1.24.3' zict: '>=3.0.0' - url: https://conda.anaconda.org/conda-forge/noarch/distributed-2023.9.2-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/distributed-2023.10.0-pyhd8ed1ab_0.conda hash: - md5: ddb4fd6105b4005b312625cef210ba67 - sha256: eadadb8513189df407805ef7479f18d22bcc297f00a7d96ec1402628b40e6a69 + md5: 3ecca3ba0a497f06e697777464a2cae9 + sha256: 78ff62c002b4690ca5352b2adf1b59ac0ecbb0d5348cdd8d1aa2244cfac2074c category: main optional: false - name: jsonschema-with-format-nongpl @@ -3421,24 +3421,24 @@ package: category: main optional: false - name: dask - version: 2023.9.2 + version: 2023.10.0 manager: conda platform: linux-64 dependencies: bokeh: '>=2.4.2,!=3.0.*' cytoolz: '>=0.11.0' - dask-core: '>=2023.9.2,<2023.9.3.0a0' - distributed: '>=2023.9.2,<2023.9.3.0a0' + dask-core: '>=2023.10.0,<2023.10.1.0a0' + distributed: '>=2023.10.0,<2023.10.1.0a0' jinja2: '>=2.10.3' lz4: '>=4.3.2' numpy: '>=1.21' pandas: '>=1.3' pyarrow: '>=7.0' python: '>=3.9' - url: https://conda.anaconda.org/conda-forge/noarch/dask-2023.9.2-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/dask-2023.10.0-pyhd8ed1ab_0.conda hash: - md5: 29e33df59c9eac1a599b9cd18d54b4d3 - sha256: c9b227463dec8e8583df9fd279453ceeec08368d74ab50502a78f941aa9675f2 + md5: 0c85f5482dd283c2b9ca68d331edb471 + sha256: 6303ca87d0020c6f657218c3f019ccc8365340aa88a447c9876f8dad76b50589 category: main optional: false - name: jupyter_server @@ -3472,21 +3472,21 @@ package: category: main optional: false - name: dask-gateway - version: 2023.1.1 + version: 2023.9.0 manager: conda platform: linux-64 dependencies: aiohttp: '' - click: '' + click: '>=8.1.3' dask: '>=2022.4.0' distributed: '>=2022.4.0' - python: '>=3.8' + python: '>=3.9' pyyaml: '' tornado: '' - url: https://conda.anaconda.org/conda-forge/noarch/dask-gateway-2023.1.1-pyh8af1aa0_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/dask-gateway-2023.9.0-pyh8af1aa0_0.conda hash: - md5: cc31948b0296541ca2f4e7cd0f2ba966 - sha256: b5ac149d1c6555c4220902876c08d41b11c5d94f98c49b268be38844acca0ba3 + md5: 99b9527f0fb7a1bd49858879fa9c4e2e + sha256: 8f20f176e0bd70fb36f300ff3a87aa68940b5bd143beb8637e2335d14da78dfd category: main optional: false - name: jupyter-lsp @@ -3553,7 +3553,7 @@ package: category: main optional: false - name: jupyterlab - version: 4.0.6 + version: 4.0.7 manager: conda platform: linux-64 dependencies: @@ -3572,24 +3572,24 @@ package: tomli: '' tornado: '>=6.2.0' traitlets: '' - url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.6-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.7-pyhd8ed1ab_0.conda hash: - md5: 80bb1cc3b540790cb5afecd73c2d4d1f - sha256: 5eb157e0ec794c0d4b100e9b11efefcc8d8b50b6c298539df31ab79ff9fbe446 + md5: 80318d83f33b3bf4e57b8533b7a6691d + sha256: 1d841546fd239d7edefbf00edd3bad4680b12c3eb2549026d6aa70a301f23295 category: main optional: false - name: pangeo-dask - version: 2023.09.17 + version: 2023.10.17 manager: conda platform: linux-64 dependencies: - dask: 2023.9.2.* - dask-gateway: 2023.1.1.* - distributed: 2023.9.2.* - url: https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.09.17-hd8ed1ab_0.conda + dask: 2023.10.0.* + dask-gateway: 2023.9.0.* + distributed: 2023.10.0.* + url: https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.10.17-hd8ed1ab_0.conda hash: - md5: c4f081e4d9eb719894377d7cd0925c73 - sha256: 0024b652c893776991a9b24349f8b18969681a4144128a52ec836fb4c8d74bf3 + md5: acd4bfa33d152952217e8ad5790cf46f + sha256: 101b60d0529879a93f6eb0f2dcd4403586eccd2dfd6b33640786efd205b46be9 category: main optional: false - name: dask-labextension @@ -3624,20 +3624,20 @@ package: category: main optional: false - name: notebook - version: 7.0.4 + version: 7.0.6 manager: conda platform: linux-64 dependencies: jupyter_server: '>=2.4.0,<3' - jupyterlab: '>=4.0.2,<5' + jupyterlab: '>=4.0.7,<5' jupyterlab_server: '>=2.22.1,<3' notebook-shim: '>=0.2,<0.3' python: '>=3.8' tornado: '>=6.2.0' - url: https://conda.anaconda.org/conda-forge/noarch/notebook-7.0.4-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/notebook-7.0.6-pyhd8ed1ab_0.conda hash: - md5: 9fe0b0f2e8a6dbae64947e90079ea54c - sha256: 3ee5870402d41db9d93af61cc15ca7b8ccfccc6a024d564d764aabd4ac8ce908 + md5: d60881c78a54cbf8042ae719f1f77a50 + sha256: 5259ad2fb47300407dafa6ea5e78085a2c8de8dcdbfbaa58592bf2677d7187a9 category: main optional: false - name: nbgitpuller @@ -3656,7 +3656,7 @@ package: category: main optional: false - name: pangeo-notebook - version: 2023.09.25 + version: 2023.10.21 manager: conda platform: linux-64 dependencies: @@ -3664,12 +3664,12 @@ package: ipywidgets: 8.1.1.* jupyter-server-proxy: 4.1.0.* jupyterhub-singleuser: 4.0.2.* - jupyterlab: 4.0.6.* + jupyterlab: 4.0.7.* nbgitpuller: 1.2.0.* - pangeo-dask: 2023.09.17.* - url: https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.09.25-hd8ed1ab_0.conda + pangeo-dask: 2023.10.17.* + url: https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.10.21-hd8ed1ab_0.conda hash: - md5: f5c6073b4df9054f49ac0d828e5919d2 - sha256: 438d39774653f5fd325fc6e2817c41b0798a3af9800ee741972bc7109b407233 + md5: d615e75de4532601342a82c6789098b4 + sha256: b72c245d4cc0cd3f70c97c4d75a9438f5c484b762695de7ed30fbf25d43441a2 category: main optional: false diff --git a/base-notebook/environment.yml b/base-notebook/environment.yml index cb35fc9b..8a473df2 100644 --- a/base-notebook/environment.yml +++ b/base-notebook/environment.yml @@ -4,5 +4,5 @@ channels: - nodefaults dependencies: - python=3.11 - - pangeo-notebook=2023.09.25 + - pangeo-notebook=2023.10.21 - pip diff --git a/base-notebook/packages.txt b/base-notebook/packages.txt index b58deb38..6961d66d 100644 --- a/base-notebook/packages.txt +++ b/base-notebook/packages.txt @@ -51,14 +51,14 @@ comm==0.1.4 contourpy==1.1.1 cryptography==41.0.4 cytoolz==0.12.2 -dask==2023.9.2 -dask-core==2023.9.2 -dask-gateway==2023.1.1 +dask==2023.10.0 +dask-core==2023.10.0 +dask-gateway==2023.9.0 dask-labextension==7.0.0 debugpy==1.8.0 decorator==5.1.1 defusedxml==0.7.1 -distributed==2023.9.2 +distributed==2023.10.0 entrypoints==0.4 exceptiongroup==1.1.3 executing==1.2.0 @@ -94,7 +94,7 @@ jupyter_server_terminals==0.4.4 jupyter_telemetry==0.1.0 jupyterhub-base==4.0.2 jupyterhub-singleuser==4.0.2 -jupyterlab==4.0.6 +jupyterlab==4.0.7 jupyterlab_pygments==0.2.2 jupyterlab_server==2.25.0 jupyterlab_widgets==3.0.9 @@ -159,7 +159,7 @@ nbformat==5.9.2 nbgitpuller==1.2.0 ncurses==6.4 nest-asyncio==1.5.8 -notebook==7.0.4 +notebook==7.0.6 notebook-shim==0.2.3 numpy==1.26.0 oauthlib==3.2.2 @@ -171,8 +171,8 @@ packaging==23.2 pamela==1.1.0 pandas==2.1.1 pandocfilters==1.5.0 -pangeo-dask==2023.09.17 -pangeo-notebook==2023.09.25 +pangeo-dask==2023.10.17 +pangeo-notebook==2023.10.21 parso==0.8.3 partd==1.4.1 pexpect==4.8.0 diff --git a/ml-notebook/conda-linux-64.lock b/ml-notebook/conda-linux-64.lock index 0d48f77f..379dcb15 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: 0fb497d6ea6b48b7c92ac64d73ae679601d4fea43a54469ed83c0c2123a806bf +# input_hash: 7b60f1c9b6752933aa1921de3f5c675de00fd26fce333fa843ec205c3f42b9b5 @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 @@ -33,7 +33,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h807b86a_2.cond https://conda.anaconda.org/conda-forge/linux-64/aom-3.6.1-h59595ed_0.conda#8457db6d1175ee86c8e077f6ac60ff55 https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.8.17-hd590300_0.conda#ce14366bd45135ab26ee66f8f422dbf2 https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h7f98852_4.tar.bz2#a1fd65c7ccbf10880423d82bca54eb54 -https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.20.1-hd590300_0.conda#6642e4faa4804be3a0e7edfefbd16595 +https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.20.1-hd590300_1.conda#2facbaf5ee1a56967aecaee89799160e https://conda.anaconda.org/conda-forge/linux-64/cudatoolkit-11.8.0-h4ba93d1_12.conda#59a4d915d3406b3d11298e927db71ae0 https://conda.anaconda.org/conda-forge/linux-64/dav1d-1.2.1-hd590300_0.conda#418c6ca5929a611cbd69204907a83995 https://conda.anaconda.org/conda-forge/linux-64/flatbuffers-23.5.26-h59595ed_1.conda#913a1c6fd00b66f33392a129e835ceca @@ -458,7 +458,7 @@ https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.2-py311h1f0f07a_2.con https://conda.anaconda.org/conda-forge/linux-64/ciso-0.2.0-py311h1f0f07a_2.conda#93f5a1d6842951c404d01f4f375db170 https://conda.anaconda.org/conda-forge/noarch/colorspacious-1.1.2-pyh24bf2e0_0.tar.bz2#b73afa0d009a51cabd3ec99c4d2ef4f3 https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.1.1-py311h9547e67_1.conda#52d3de443952d33c5cee6b24b172ce96 -https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.9.2-pyhd8ed1ab_0.conda#cce7eeb7eda0124af186a5e9ce9b0fca +https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.10.0-pyhd8ed1ab_0.conda#6b415b2cd4a106b8eb1632be126ede81 https://conda.anaconda.org/conda-forge/noarch/datashape-0.5.4-py_1.tar.bz2#50ddfce434ea596fc4497085f403a9d5 https://conda.anaconda.org/conda-forge/noarch/eofs-1.4.0-py_0.tar.bz2#6e166cd37cfeadefcfca1ffe00f222bb https://conda.anaconda.org/conda-forge/noarch/fastapi-0.103.2-pyhd8ed1ab_0.conda#fb243b6796ab7d64b14e00c279620c04 @@ -518,7 +518,7 @@ https://conda.anaconda.org/conda-forge/noarch/boto3-1.28.17-pyhd8ed1ab_0.conda#5 https://conda.anaconda.org/conda-forge/noarch/certipy-0.1.3-py_0.tar.bz2#23486713ef5712923e7c57cae609b22e https://conda.anaconda.org/conda-forge/noarch/cgen-2020.1-py_0.tar.bz2#f51cf23f72dcc18e07f44feb5a152d6e https://conda.anaconda.org/conda-forge/noarch/colorcet-3.0.1-pyhd8ed1ab_0.tar.bz2#1e424f22b3e2713068fe12d57f2dec5b -https://conda.anaconda.org/conda-forge/noarch/distributed-2023.9.2-pyhd8ed1ab_0.conda#ddb4fd6105b4005b312625cef210ba67 +https://conda.anaconda.org/conda-forge/noarch/distributed-2023.10.0-pyhd8ed1ab_0.conda#3ecca3ba0a497f06e697777464a2cae9 https://conda.anaconda.org/conda-forge/linux-64/eccodes-2.32.0-h35c6de3_0.conda#e88f9169cf460141643ad70f6ab9b6c8 https://conda.anaconda.org/conda-forge/noarch/erddapy-2.2.0-pyhd8ed1ab_0.conda#ff7354c3bb305f54715d719b99146977 https://conda.anaconda.org/conda-forge/linux-64/esmf-8.4.2-mpi_mpich_h2a0de38_103.conda#fd129fb34d1d5abc348b0faebbeb6513 @@ -616,7 +616,7 @@ https://conda.anaconda.org/conda-forge/noarch/xarray-spatial-0.3.5-pyhd8ed1ab_0. https://conda.anaconda.org/conda-forge/noarch/xesmf-0.8.2-pyhd8ed1ab_0.conda#8e765a0eca0ce1cfa889cd9af82a23a8 https://conda.anaconda.org/conda-forge/linux-64/xgboost-1.7.6-cuda118py311he6248c7_5.conda#00f60bd90006f639468ae33a764b966c https://conda.anaconda.org/conda-forge/noarch/xmip-0.7.1-pyhd8ed1ab_0.conda#e70793265785700648629a38c1154b1c -https://conda.anaconda.org/conda-forge/noarch/dask-2023.9.2-pyhd8ed1ab_0.conda#29e33df59c9eac1a599b9cd18d54b4d3 +https://conda.anaconda.org/conda-forge/noarch/dask-2023.10.0-pyhd8ed1ab_0.conda#0c85f5482dd283c2b9ca68d331edb471 https://conda.anaconda.org/conda-forge/noarch/geocube-0.4.2-pyhd8ed1ab_1.conda#0d021ab36a19d5c7b90b25945ed737f1 https://conda.anaconda.org/conda-forge/noarch/geoviews-core-1.10.1-pyha770c72_0.conda#95d909e4a2674ae827cffc7bea89e264 https://conda.anaconda.org/conda-forge/noarch/hvplot-0.9.0-pyhd8ed1ab_0.conda#a8de7286634ea0fad74e25b6fce670ad @@ -627,7 +627,7 @@ https://conda.anaconda.org/conda-forge/noarch/ipyurl-0.1.2-pyh3684270_1.tar.bz2# https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.8.0-pyhd8ed1ab_0.conda#a750b082b9319e96556df4ee6023b068 https://conda.anaconda.org/conda-forge/noarch/optax-0.1.7-pyhd8ed1ab_0.conda#ad1f592ff0f2db1d4e17c92ffa7d2141 https://conda.anaconda.org/conda-forge/linux-64/tensorflow-base-2.12.1-cuda112py311hb4f7669_1.conda#399d4d2641a1af2e7562730984a14c2c -https://conda.anaconda.org/conda-forge/noarch/dask-gateway-2023.1.1-pyh8af1aa0_0.conda#cc31948b0296541ca2f4e7cd0f2ba966 +https://conda.anaconda.org/conda-forge/noarch/dask-gateway-2023.9.0-pyh8af1aa0_0.conda#99b9527f0fb7a1bd49858879fa9c4e2e https://conda.anaconda.org/conda-forge/noarch/dask-glm-0.2.0-py_1.tar.bz2#7c9c5295a0499bf56bbf084578618af5 https://conda.anaconda.org/conda-forge/noarch/flax-0.6.1-pyhd8ed1ab_1.conda#25ed633d6a309b118b33ec894d4916c8 https://conda.anaconda.org/conda-forge/noarch/gcm_filters-0.3.0-pyhd8ed1ab_0.tar.bz2#359d7781246fb5f8ccb68cda84db9753 @@ -658,9 +658,9 @@ https://conda.anaconda.org/conda-forge/noarch/intake-esm-2023.6.14-pyhd8ed1ab_0. https://conda.anaconda.org/conda-forge/noarch/intake-geopandas-0.4.0-pyhd8ed1ab_0.tar.bz2#5d6429a927d1ef3c0d26d81f5d7b31f0 https://conda.anaconda.org/conda-forge/noarch/intake-xarray-0.7.0-pyhd8ed1ab_0.conda#d6471673fac9fa8f13a2517315ffcf6b https://conda.anaconda.org/conda-forge/noarch/jupyter-panel-proxy-0.1.0-py_0.tar.bz2#80c21feab6100e287707c371c752adea -https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.6-pyhd8ed1ab_0.conda#80bb1cc3b540790cb5afecd73c2d4d1f +https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.7-pyhd8ed1ab_0.conda#80318d83f33b3bf4e57b8533b7a6691d https://conda.anaconda.org/conda-forge/noarch/nbdime-3.2.1-pyhd8ed1ab_0.conda#7b6c7f9f427dd668fd1ef4c6b3454528 -https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.09.17-hd8ed1ab_0.conda#c4f081e4d9eb719894377d7cd0925c73 +https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.10.17-hd8ed1ab_0.conda#acd4bfa33d152952217e8ad5790cf46f https://conda.anaconda.org/conda-forge/noarch/satpy-0.44.0-pyhd8ed1ab_0.conda#e48a1915f8cc7f15e88592e6a5041c92 https://conda.anaconda.org/conda-forge/linux-64/tensorflow-2.12.1-cuda112py311h63ba870_1.conda#a99018345dd2d08d2d87a48ea62125bd https://conda.anaconda.org/conda-forge/noarch/xarray_leaflet-0.2.3-pyhd8ed1ab_0.conda#14ac9ee6946c1e1bf0489235066151a0 @@ -670,8 +670,8 @@ https://conda.anaconda.org/conda-forge/noarch/intake-stac-0.4.0-pyhd8ed1ab_0.tar https://conda.anaconda.org/conda-forge/noarch/jupyterhub-singleuser-4.0.2-pyh31011fe_0.conda#9eb773051ad8ecc804ed3bdec84ecce5 https://conda.anaconda.org/conda-forge/noarch/jupyterlab-git-0.41.0-pyhd8ed1ab_1.conda#5985549f77be4aae95bfd9e1a7916144 https://conda.anaconda.org/conda-forge/noarch/jupyterlab-nvdashboard-0.4.0-py_1.tar.bz2#db9d9de7fbfb8de2084bf8af033f01eb -https://conda.anaconda.org/conda-forge/noarch/notebook-7.0.4-pyhd8ed1ab_0.conda#9fe0b0f2e8a6dbae64947e90079ea54c +https://conda.anaconda.org/conda-forge/noarch/notebook-7.0.6-pyhd8ed1ab_0.conda#d60881c78a54cbf8042ae719f1f77a50 https://conda.anaconda.org/conda-forge/noarch/tensorflow-datasets-4.8.3-pyhd8ed1ab_0.conda#96d4efcd1edee5e7c1b949d229c08491 https://conda.anaconda.org/conda-forge/noarch/keras-cv-0.5.1-pyhd8ed1ab_0.conda#624f3976a27c4f13dd5e2c6b8e53ff86 https://conda.anaconda.org/conda-forge/noarch/nbgitpuller-1.2.0-pyhd8ed1ab_0.conda#e74db5ccfcf794e3d67ec7c9c125a39a -https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.09.25-hd8ed1ab_0.conda#f5c6073b4df9054f49ac0d828e5919d2 +https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.10.21-hd8ed1ab_0.conda#d615e75de4532601342a82c6789098b4 diff --git a/ml-notebook/conda-lock.yml b/ml-notebook/conda-lock.yml index 1c003970..daf9d3eb 100644 --- a/ml-notebook/conda-lock.yml +++ b/ml-notebook/conda-lock.yml @@ -13,7 +13,7 @@ version: 1 metadata: content_hash: - linux-64: 0fb497d6ea6b48b7c92ac64d73ae679601d4fea43a54469ed83c0c2123a806bf + linux-64: 7b60f1c9b6752933aa1921de3f5c675de00fd26fce333fa843ec205c3f42b9b5 channels: - url: conda-forge used_env_vars: [] @@ -391,10 +391,10 @@ package: platform: linux-64 dependencies: libgcc-ng: '>=12' - url: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.20.1-hd590300_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.20.1-hd590300_1.conda hash: - md5: 6642e4faa4804be3a0e7edfefbd16595 - sha256: afe0f91314a1de2969bb7ebb92bf6c9d3326fb8cdbdc00d8111bad8952a8dc0f + md5: 2facbaf5ee1a56967aecaee89799160e + sha256: 1700d9ebfd3b21c8b50e12a502f26e015719e1f3dbb5d491b5be061cf148ca7a category: main optional: false - name: cudatoolkit @@ -6266,7 +6266,7 @@ package: category: main optional: false - name: dask-core - version: 2023.9.2 + version: 2023.10.0 manager: conda platform: linux-64 dependencies: @@ -6279,10 +6279,10 @@ package: python: '>=3.9' pyyaml: '>=5.3.1' toolz: '>=0.10.0' - url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.9.2-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.10.0-pyhd8ed1ab_0.conda hash: - md5: cce7eeb7eda0124af186a5e9ce9b0fca - sha256: b43c994185ca4a7c694ea519ae8a2df40dea6eb92ebc91d1018fed245f3cf693 + md5: 6b415b2cd4a106b8eb1632be126ede81 + sha256: b190a8d740bbd47b032566177cb0b7eed9caef2129b35a9b93ad733053b8baa3 category: main optional: false - name: datashape @@ -7252,14 +7252,14 @@ package: category: main optional: false - name: distributed - version: 2023.9.2 + version: 2023.10.0 manager: conda platform: linux-64 dependencies: click: '>=8.0' cloudpickle: '>=1.5.0' cytoolz: '>=0.10.1' - dask-core: '>=2023.9.2,<2023.9.3.0a0' + dask-core: '>=2023.10.0,<2023.10.1.0a0' jinja2: '>=2.10.3' locket: '>=1.0.0' msgpack-python: '>=1.0.0' @@ -7273,10 +7273,10 @@ package: tornado: '>=6.0.4' urllib3: '>=1.24.3' zict: '>=3.0.0' - url: https://conda.anaconda.org/conda-forge/noarch/distributed-2023.9.2-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/distributed-2023.10.0-pyhd8ed1ab_0.conda hash: - md5: ddb4fd6105b4005b312625cef210ba67 - sha256: eadadb8513189df407805ef7479f18d22bcc297f00a7d96ec1402628b40e6a69 + md5: 3ecca3ba0a497f06e697777464a2cae9 + sha256: 78ff62c002b4690ca5352b2adf1b59ac0ecbb0d5348cdd8d1aa2244cfac2074c category: main optional: false - name: eccodes @@ -9088,24 +9088,24 @@ package: category: main optional: false - name: dask - version: 2023.9.2 + version: 2023.10.0 manager: conda platform: linux-64 dependencies: bokeh: '>=2.4.2,!=3.0.*' cytoolz: '>=0.11.0' - dask-core: '>=2023.9.2,<2023.9.3.0a0' - distributed: '>=2023.9.2,<2023.9.3.0a0' + dask-core: '>=2023.10.0,<2023.10.1.0a0' + distributed: '>=2023.10.0,<2023.10.1.0a0' jinja2: '>=2.10.3' lz4: '>=4.3.2' numpy: '>=1.21' pandas: '>=1.3' pyarrow: '>=7.0' python: '>=3.9' - url: https://conda.anaconda.org/conda-forge/noarch/dask-2023.9.2-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/dask-2023.10.0-pyhd8ed1ab_0.conda hash: - md5: 29e33df59c9eac1a599b9cd18d54b4d3 - sha256: c9b227463dec8e8583df9fd279453ceeec08368d74ab50502a78f941aa9675f2 + md5: 0c85f5482dd283c2b9ca68d331edb471 + sha256: 6303ca87d0020c6f657218c3f019ccc8365340aa88a447c9876f8dad76b50589 category: main optional: false - name: geocube @@ -9326,21 +9326,21 @@ package: category: main optional: false - name: dask-gateway - version: 2023.1.1 + version: 2023.9.0 manager: conda platform: linux-64 dependencies: aiohttp: '' - click: '' + click: '>=8.1.3' dask: '>=2022.4.0' distributed: '>=2022.4.0' - python: '>=3.8' + python: '>=3.9' pyyaml: '' tornado: '' - url: https://conda.anaconda.org/conda-forge/noarch/dask-gateway-2023.1.1-pyh8af1aa0_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/dask-gateway-2023.9.0-pyh8af1aa0_0.conda hash: - md5: cc31948b0296541ca2f4e7cd0f2ba966 - sha256: b5ac149d1c6555c4220902876c08d41b11c5d94f98c49b268be38844acca0ba3 + md5: 99b9527f0fb7a1bd49858879fa9c4e2e + sha256: 8f20f176e0bd70fb36f300ff3a87aa68940b5bd143beb8637e2335d14da78dfd category: main optional: false - name: dask-glm @@ -9892,7 +9892,7 @@ package: category: main optional: false - name: jupyterlab - version: 4.0.6 + version: 4.0.7 manager: conda platform: linux-64 dependencies: @@ -9911,10 +9911,10 @@ package: tomli: '' tornado: '>=6.2.0' traitlets: '' - url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.6-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.7-pyhd8ed1ab_0.conda hash: - md5: 80bb1cc3b540790cb5afecd73c2d4d1f - sha256: 5eb157e0ec794c0d4b100e9b11efefcc8d8b50b6c298539df31ab79ff9fbe446 + md5: 80318d83f33b3bf4e57b8533b7a6691d + sha256: 1d841546fd239d7edefbf00edd3bad4680b12c3eb2549026d6aa70a301f23295 category: main optional: false - name: nbdime @@ -9939,17 +9939,17 @@ package: category: main optional: false - name: pangeo-dask - version: 2023.09.17 + version: 2023.10.17 manager: conda platform: linux-64 dependencies: - dask: 2023.9.2.* - dask-gateway: 2023.1.1.* - distributed: 2023.9.2.* - url: https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.09.17-hd8ed1ab_0.conda + dask: 2023.10.0.* + dask-gateway: 2023.9.0.* + distributed: 2023.10.0.* + url: https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.10.17-hd8ed1ab_0.conda hash: - md5: c4f081e4d9eb719894377d7cd0925c73 - sha256: 0024b652c893776991a9b24349f8b18969681a4144128a52ec836fb4c8d74bf3 + md5: acd4bfa33d152952217e8ad5790cf46f + sha256: 101b60d0529879a93f6eb0f2dcd4403586eccd2dfd6b33640786efd205b46be9 category: main optional: false - name: satpy @@ -10125,20 +10125,20 @@ package: category: main optional: false - name: notebook - version: 7.0.4 + version: 7.0.6 manager: conda platform: linux-64 dependencies: jupyter_server: '>=2.4.0,<3' - jupyterlab: '>=4.0.2,<5' + jupyterlab: '>=4.0.7,<5' jupyterlab_server: '>=2.22.1,<3' notebook-shim: '>=0.2,<0.3' python: '>=3.8' tornado: '>=6.2.0' - url: https://conda.anaconda.org/conda-forge/noarch/notebook-7.0.4-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/notebook-7.0.6-pyhd8ed1ab_0.conda hash: - md5: 9fe0b0f2e8a6dbae64947e90079ea54c - sha256: 3ee5870402d41db9d93af61cc15ca7b8ccfccc6a024d564d764aabd4ac8ce908 + md5: d60881c78a54cbf8042ae719f1f77a50 + sha256: 5259ad2fb47300407dafa6ea5e78085a2c8de8dcdbfbaa58592bf2677d7187a9 category: main optional: false - name: tensorflow-datasets @@ -10205,7 +10205,7 @@ package: category: main optional: false - name: pangeo-notebook - version: 2023.09.25 + version: 2023.10.21 manager: conda platform: linux-64 dependencies: @@ -10213,12 +10213,12 @@ package: ipywidgets: 8.1.1.* jupyter-server-proxy: 4.1.0.* jupyterhub-singleuser: 4.0.2.* - jupyterlab: 4.0.6.* + jupyterlab: 4.0.7.* nbgitpuller: 1.2.0.* - pangeo-dask: 2023.09.17.* - url: https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.09.25-hd8ed1ab_0.conda + pangeo-dask: 2023.10.17.* + url: https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.10.21-hd8ed1ab_0.conda hash: - md5: f5c6073b4df9054f49ac0d828e5919d2 - sha256: 438d39774653f5fd325fc6e2817c41b0798a3af9800ee741972bc7109b407233 + md5: d615e75de4532601342a82c6789098b4 + sha256: b72c245d4cc0cd3f70c97c4d75a9438f5c484b762695de7ed30fbf25d43441a2 category: main optional: false diff --git a/ml-notebook/packages.txt b/ml-notebook/packages.txt index aa1ac344..11375cf7 100644 --- a/ml-notebook/packages.txt +++ b/ml-notebook/packages.txt @@ -109,9 +109,9 @@ cudnn==8.8.0.121 cycler==0.12.1 cython==3.0.4 cytoolz==0.12.2 -dask==2023.9.2 -dask-core==2023.9.2 -dask-gateway==2023.1.1 +dask==2023.10.0 +dask-core==2023.10.0 +dask-gateway==2023.9.0 dask-glm==0.2.0 dask-labextension==7.0.0 dask-ml==2023.3.24 @@ -123,7 +123,7 @@ decorator==5.1.1 defusedxml==0.7.1 descartes==1.1.0 dill==0.3.7 -distributed==2023.9.2 +distributed==2023.10.0 distro==1.8.0 dm-tree==0.1.8 docopt==0.6.2 @@ -271,7 +271,7 @@ jupyter_server_xarray_leaflet==0.2.3 jupyter_telemetry==0.1.0 jupyterhub-base==4.0.2 jupyterhub-singleuser==4.0.2 -jupyterlab==4.0.6 +jupyterlab==4.0.7 jupyterlab-git==0.41.0 jupyterlab-nvdashboard==0.4.0 jupyterlab_pygments==0.2.2 @@ -417,7 +417,7 @@ nettle==3.8.1 networkx==3.2 nodejs==20.8.1 noise==1.2.2 -notebook==7.0.4 +notebook==7.0.6 notebook-shim==0.2.3 nspr==4.35 nss==3.94 @@ -442,8 +442,8 @@ pamela==1.1.0 pandas==2.1.1 pandocfilters==1.5.0 panel==1.2.3 -pangeo-dask==2023.09.17 -pangeo-notebook==2023.09.25 +pangeo-dask==2023.10.17 +pangeo-notebook==2023.10.21 pango==1.50.14 parallelio==2.6.2 param==1.13.0 diff --git a/pangeo-notebook/conda-linux-64.lock b/pangeo-notebook/conda-linux-64.lock index f1f2ac1c..23be470e 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: 3a6dfa79734f17ad382a4ce8b97d163bf8150178465ad1482c52ca8aed351728 +# input_hash: 8f158b268c58814ee65b8f0872c70ef990a523201c6894c90fee9a51e98b4c4e @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 @@ -32,7 +32,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h807b86a_2.cond https://conda.anaconda.org/conda-forge/linux-64/aom-3.6.1-h59595ed_0.conda#8457db6d1175ee86c8e077f6ac60ff55 https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.8.17-hd590300_0.conda#ce14366bd45135ab26ee66f8f422dbf2 https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h7f98852_4.tar.bz2#a1fd65c7ccbf10880423d82bca54eb54 -https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.20.1-hd590300_0.conda#6642e4faa4804be3a0e7edfefbd16595 +https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.20.1-hd590300_1.conda#2facbaf5ee1a56967aecaee89799160e https://conda.anaconda.org/conda-forge/linux-64/dav1d-1.2.1-hd590300_0.conda#418c6ca5929a611cbd69204907a83995 https://conda.anaconda.org/conda-forge/linux-64/fribidi-1.0.10-h36c2ea0_0.tar.bz2#ac7bc6a654f8f41b352b38f4051135f8 https://conda.anaconda.org/conda-forge/linux-64/geos-3.12.0-h59595ed_0.conda#3fdf79ef322c8379ae83be491d805369 @@ -431,7 +431,7 @@ https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.2-py311h1f0f07a_2.con https://conda.anaconda.org/conda-forge/linux-64/ciso-0.2.0-py311h1f0f07a_2.conda#93f5a1d6842951c404d01f4f375db170 https://conda.anaconda.org/conda-forge/noarch/colorspacious-1.1.2-pyh24bf2e0_0.tar.bz2#b73afa0d009a51cabd3ec99c4d2ef4f3 https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.1.1-py311h9547e67_1.conda#52d3de443952d33c5cee6b24b172ce96 -https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.9.2-pyhd8ed1ab_0.conda#cce7eeb7eda0124af186a5e9ce9b0fca +https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.10.0-pyhd8ed1ab_0.conda#6b415b2cd4a106b8eb1632be126ede81 https://conda.anaconda.org/conda-forge/noarch/datashape-0.5.4-py_1.tar.bz2#50ddfce434ea596fc4497085f403a9d5 https://conda.anaconda.org/conda-forge/noarch/eofs-1.4.0-py_0.tar.bz2#6e166cd37cfeadefcfca1ffe00f222bb https://conda.anaconda.org/conda-forge/noarch/folium-0.14.0-pyhd8ed1ab_0.conda#48c8bb19df0d0268f1a9d30ffc56c5b0 @@ -487,7 +487,7 @@ https://conda.anaconda.org/conda-forge/noarch/boto3-1.28.17-pyhd8ed1ab_0.conda#5 https://conda.anaconda.org/conda-forge/noarch/certipy-0.1.3-py_0.tar.bz2#23486713ef5712923e7c57cae609b22e https://conda.anaconda.org/conda-forge/noarch/cgen-2020.1-py_0.tar.bz2#f51cf23f72dcc18e07f44feb5a152d6e https://conda.anaconda.org/conda-forge/noarch/colorcet-3.0.1-pyhd8ed1ab_0.tar.bz2#1e424f22b3e2713068fe12d57f2dec5b -https://conda.anaconda.org/conda-forge/noarch/distributed-2023.9.2-pyhd8ed1ab_0.conda#ddb4fd6105b4005b312625cef210ba67 +https://conda.anaconda.org/conda-forge/noarch/distributed-2023.10.0-pyhd8ed1ab_0.conda#3ecca3ba0a497f06e697777464a2cae9 https://conda.anaconda.org/conda-forge/linux-64/eccodes-2.32.0-h35c6de3_0.conda#e88f9169cf460141643ad70f6ab9b6c8 https://conda.anaconda.org/conda-forge/noarch/erddapy-2.2.0-pyhd8ed1ab_0.conda#ff7354c3bb305f54715d719b99146977 https://conda.anaconda.org/conda-forge/linux-64/esmf-8.4.2-nompi_h9e768e6_3.conda#c330e87e698bae8e7381c0315cf25dd0 @@ -581,7 +581,7 @@ https://conda.anaconda.org/conda-forge/noarch/xarray-spatial-0.3.5-pyhd8ed1ab_0. https://conda.anaconda.org/conda-forge/noarch/xesmf-0.8.2-pyhd8ed1ab_0.conda#8e765a0eca0ce1cfa889cd9af82a23a8 https://conda.anaconda.org/conda-forge/linux-64/xgboost-1.7.6-cuda118py311he6248c7_5.conda#00f60bd90006f639468ae33a764b966c https://conda.anaconda.org/conda-forge/noarch/xmip-0.7.1-pyhd8ed1ab_0.conda#e70793265785700648629a38c1154b1c -https://conda.anaconda.org/conda-forge/noarch/dask-2023.9.2-pyhd8ed1ab_0.conda#29e33df59c9eac1a599b9cd18d54b4d3 +https://conda.anaconda.org/conda-forge/noarch/dask-2023.10.0-pyhd8ed1ab_0.conda#0c85f5482dd283c2b9ca68d331edb471 https://conda.anaconda.org/conda-forge/noarch/geocube-0.4.2-pyhd8ed1ab_1.conda#0d021ab36a19d5c7b90b25945ed737f1 https://conda.anaconda.org/conda-forge/noarch/geoviews-core-1.10.1-pyha770c72_0.conda#95d909e4a2674ae827cffc7bea89e264 https://conda.anaconda.org/conda-forge/noarch/hvplot-0.9.0-pyhd8ed1ab_0.conda#a8de7286634ea0fad74e25b6fce670ad @@ -590,7 +590,7 @@ https://conda.anaconda.org/conda-forge/noarch/ipyspin-1.0.1-pyhd8ed1ab_0.tar.bz2 https://conda.anaconda.org/conda-forge/noarch/ipytree-0.2.2-pyhd8ed1ab_0.tar.bz2#5cc19cec6c4598183f4a8278e2142810 https://conda.anaconda.org/conda-forge/noarch/ipyurl-0.1.2-pyh3684270_1.tar.bz2#a72d315bc1ed6ddf0b2ace197b10886b https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.8.0-pyhd8ed1ab_0.conda#a750b082b9319e96556df4ee6023b068 -https://conda.anaconda.org/conda-forge/noarch/dask-gateway-2023.1.1-pyh8af1aa0_0.conda#cc31948b0296541ca2f4e7cd0f2ba966 +https://conda.anaconda.org/conda-forge/noarch/dask-gateway-2023.9.0-pyh8af1aa0_0.conda#99b9527f0fb7a1bd49858879fa9c4e2e https://conda.anaconda.org/conda-forge/noarch/dask-glm-0.2.0-py_1.tar.bz2#7c9c5295a0499bf56bbf084578618af5 https://conda.anaconda.org/conda-forge/noarch/gcm_filters-0.3.0-pyhd8ed1ab_0.tar.bz2#359d7781246fb5f8ccb68cda84db9753 https://conda.anaconda.org/conda-forge/noarch/intake-0.7.0-pyhd8ed1ab_0.conda#310f0fdaec6eecd9cc7833a788bafb1f @@ -619,9 +619,9 @@ https://conda.anaconda.org/conda-forge/noarch/intake-esm-2023.7.7-pyhd8ed1ab_0.c https://conda.anaconda.org/conda-forge/noarch/intake-geopandas-0.4.0-pyhd8ed1ab_0.tar.bz2#5d6429a927d1ef3c0d26d81f5d7b31f0 https://conda.anaconda.org/conda-forge/noarch/intake-xarray-0.7.0-pyhd8ed1ab_0.conda#d6471673fac9fa8f13a2517315ffcf6b https://conda.anaconda.org/conda-forge/noarch/jupyter-panel-proxy-0.1.0-py_0.tar.bz2#80c21feab6100e287707c371c752adea -https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.6-pyhd8ed1ab_0.conda#80bb1cc3b540790cb5afecd73c2d4d1f +https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.7-pyhd8ed1ab_0.conda#80318d83f33b3bf4e57b8533b7a6691d https://conda.anaconda.org/conda-forge/noarch/nbdime-3.2.1-pyhd8ed1ab_0.conda#7b6c7f9f427dd668fd1ef4c6b3454528 -https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.09.17-hd8ed1ab_0.conda#c4f081e4d9eb719894377d7cd0925c73 +https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.10.17-hd8ed1ab_0.conda#acd4bfa33d152952217e8ad5790cf46f https://conda.anaconda.org/conda-forge/noarch/satpy-0.44.0-pyhd8ed1ab_0.conda#e48a1915f8cc7f15e88592e6a5041c92 https://conda.anaconda.org/conda-forge/noarch/xarray_leaflet-0.2.3-pyhd8ed1ab_0.conda#14ac9ee6946c1e1bf0489235066151a0 https://conda.anaconda.org/conda-forge/noarch/xskillscore-0.0.24-pyhd8ed1ab_0.tar.bz2#facc58b60c63642243013e12236e3ea7 @@ -629,6 +629,6 @@ https://conda.anaconda.org/conda-forge/noarch/dask-labextension-7.0.0-pyhd8ed1ab https://conda.anaconda.org/conda-forge/noarch/intake-stac-0.4.0-pyhd8ed1ab_0.tar.bz2#d9a48c97623dc88751dbd266b89497e3 https://conda.anaconda.org/conda-forge/noarch/jupyterhub-singleuser-4.0.2-pyh31011fe_0.conda#9eb773051ad8ecc804ed3bdec84ecce5 https://conda.anaconda.org/conda-forge/noarch/jupyterlab-git-0.41.0-pyhd8ed1ab_1.conda#5985549f77be4aae95bfd9e1a7916144 -https://conda.anaconda.org/conda-forge/noarch/notebook-7.0.4-pyhd8ed1ab_0.conda#9fe0b0f2e8a6dbae64947e90079ea54c +https://conda.anaconda.org/conda-forge/noarch/notebook-7.0.6-pyhd8ed1ab_0.conda#d60881c78a54cbf8042ae719f1f77a50 https://conda.anaconda.org/conda-forge/noarch/nbgitpuller-1.2.0-pyhd8ed1ab_0.conda#e74db5ccfcf794e3d67ec7c9c125a39a -https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.09.25-hd8ed1ab_0.conda#f5c6073b4df9054f49ac0d828e5919d2 +https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.10.21-hd8ed1ab_0.conda#d615e75de4532601342a82c6789098b4 diff --git a/pangeo-notebook/conda-lock.yml b/pangeo-notebook/conda-lock.yml index 85ca8aa2..51754edc 100644 --- a/pangeo-notebook/conda-lock.yml +++ b/pangeo-notebook/conda-lock.yml @@ -13,7 +13,7 @@ version: 1 metadata: content_hash: - linux-64: 3a6dfa79734f17ad382a4ce8b97d163bf8150178465ad1482c52ca8aed351728 + linux-64: 8f158b268c58814ee65b8f0872c70ef990a523201c6894c90fee9a51e98b4c4e channels: - url: conda-forge used_env_vars: [] @@ -379,10 +379,10 @@ package: platform: linux-64 dependencies: libgcc-ng: '>=12' - url: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.20.1-hd590300_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.20.1-hd590300_1.conda hash: - md5: 6642e4faa4804be3a0e7edfefbd16595 - sha256: afe0f91314a1de2969bb7ebb92bf6c9d3326fb8cdbdc00d8111bad8952a8dc0f + md5: 2facbaf5ee1a56967aecaee89799160e + sha256: 1700d9ebfd3b21c8b50e12a502f26e015719e1f3dbb5d491b5be061cf148ca7a category: main optional: false - name: dav1d @@ -5890,7 +5890,7 @@ package: category: main optional: false - name: dask-core - version: 2023.9.2 + version: 2023.10.0 manager: conda platform: linux-64 dependencies: @@ -5903,10 +5903,10 @@ package: python: '>=3.9' pyyaml: '>=5.3.1' toolz: '>=0.10.0' - url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.9.2-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.10.0-pyhd8ed1ab_0.conda hash: - md5: cce7eeb7eda0124af186a5e9ce9b0fca - sha256: b43c994185ca4a7c694ea519ae8a2df40dea6eb92ebc91d1018fed245f3cf693 + md5: 6b415b2cd4a106b8eb1632be126ede81 + sha256: b190a8d740bbd47b032566177cb0b7eed9caef2129b35a9b93ad733053b8baa3 category: main optional: false - name: datashape @@ -6813,14 +6813,14 @@ package: category: main optional: false - name: distributed - version: 2023.9.2 + version: 2023.10.0 manager: conda platform: linux-64 dependencies: click: '>=8.0' cloudpickle: '>=1.5.0' cytoolz: '>=0.10.1' - dask-core: '>=2023.9.2,<2023.9.3.0a0' + dask-core: '>=2023.10.0,<2023.10.1.0a0' jinja2: '>=2.10.3' locket: '>=1.0.0' msgpack-python: '>=1.0.0' @@ -6834,10 +6834,10 @@ package: tornado: '>=6.0.4' urllib3: '>=1.24.3' zict: '>=3.0.0' - url: https://conda.anaconda.org/conda-forge/noarch/distributed-2023.9.2-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/distributed-2023.10.0-pyhd8ed1ab_0.conda hash: - md5: ddb4fd6105b4005b312625cef210ba67 - sha256: eadadb8513189df407805ef7479f18d22bcc297f00a7d96ec1402628b40e6a69 + md5: 3ecca3ba0a497f06e697777464a2cae9 + sha256: 78ff62c002b4690ca5352b2adf1b59ac0ecbb0d5348cdd8d1aa2244cfac2074c category: main optional: false - name: eccodes @@ -8558,24 +8558,24 @@ package: category: main optional: false - name: dask - version: 2023.9.2 + version: 2023.10.0 manager: conda platform: linux-64 dependencies: bokeh: '>=2.4.2,!=3.0.*' cytoolz: '>=0.11.0' - dask-core: '>=2023.9.2,<2023.9.3.0a0' - distributed: '>=2023.9.2,<2023.9.3.0a0' + dask-core: '>=2023.10.0,<2023.10.1.0a0' + distributed: '>=2023.10.0,<2023.10.1.0a0' jinja2: '>=2.10.3' lz4: '>=4.3.2' numpy: '>=1.21' pandas: '>=1.3' pyarrow: '>=7.0' python: '>=3.9' - url: https://conda.anaconda.org/conda-forge/noarch/dask-2023.9.2-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/dask-2023.10.0-pyhd8ed1ab_0.conda hash: - md5: 29e33df59c9eac1a599b9cd18d54b4d3 - sha256: c9b227463dec8e8583df9fd279453ceeec08368d74ab50502a78f941aa9675f2 + md5: 0c85f5482dd283c2b9ca68d331edb471 + sha256: 6303ca87d0020c6f657218c3f019ccc8365340aa88a447c9876f8dad76b50589 category: main optional: false - name: geocube @@ -8726,21 +8726,21 @@ package: category: main optional: false - name: dask-gateway - version: 2023.1.1 + version: 2023.9.0 manager: conda platform: linux-64 dependencies: aiohttp: '' - click: '' + click: '>=8.1.3' dask: '>=2022.4.0' distributed: '>=2022.4.0' - python: '>=3.8' + python: '>=3.9' pyyaml: '' tornado: '' - url: https://conda.anaconda.org/conda-forge/noarch/dask-gateway-2023.1.1-pyh8af1aa0_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/dask-gateway-2023.9.0-pyh8af1aa0_0.conda hash: - md5: cc31948b0296541ca2f4e7cd0f2ba966 - sha256: b5ac149d1c6555c4220902876c08d41b11c5d94f98c49b268be38844acca0ba3 + md5: 99b9527f0fb7a1bd49858879fa9c4e2e + sha256: 8f20f176e0bd70fb36f300ff3a87aa68940b5bd143beb8637e2335d14da78dfd category: main optional: false - name: dask-glm @@ -9253,7 +9253,7 @@ package: category: main optional: false - name: jupyterlab - version: 4.0.6 + version: 4.0.7 manager: conda platform: linux-64 dependencies: @@ -9272,10 +9272,10 @@ package: tomli: '' tornado: '>=6.2.0' traitlets: '' - url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.6-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.7-pyhd8ed1ab_0.conda hash: - md5: 80bb1cc3b540790cb5afecd73c2d4d1f - sha256: 5eb157e0ec794c0d4b100e9b11efefcc8d8b50b6c298539df31ab79ff9fbe446 + md5: 80318d83f33b3bf4e57b8533b7a6691d + sha256: 1d841546fd239d7edefbf00edd3bad4680b12c3eb2549026d6aa70a301f23295 category: main optional: false - name: nbdime @@ -9300,17 +9300,17 @@ package: category: main optional: false - name: pangeo-dask - version: 2023.09.17 + version: 2023.10.17 manager: conda platform: linux-64 dependencies: - dask: 2023.9.2.* - dask-gateway: 2023.1.1.* - distributed: 2023.9.2.* - url: https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.09.17-hd8ed1ab_0.conda + dask: 2023.10.0.* + dask-gateway: 2023.9.0.* + distributed: 2023.10.0.* + url: https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.10.17-hd8ed1ab_0.conda hash: - md5: c4f081e4d9eb719894377d7cd0925c73 - sha256: 0024b652c893776991a9b24349f8b18969681a4144128a52ec836fb4c8d74bf3 + md5: acd4bfa33d152952217e8ad5790cf46f + sha256: 101b60d0529879a93f6eb0f2dcd4403586eccd2dfd6b33640786efd205b46be9 category: main optional: false - name: satpy @@ -9452,20 +9452,20 @@ package: category: main optional: false - name: notebook - version: 7.0.4 + version: 7.0.6 manager: conda platform: linux-64 dependencies: jupyter_server: '>=2.4.0,<3' - jupyterlab: '>=4.0.2,<5' + jupyterlab: '>=4.0.7,<5' jupyterlab_server: '>=2.22.1,<3' notebook-shim: '>=0.2,<0.3' python: '>=3.8' tornado: '>=6.2.0' - url: https://conda.anaconda.org/conda-forge/noarch/notebook-7.0.4-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/notebook-7.0.6-pyhd8ed1ab_0.conda hash: - md5: 9fe0b0f2e8a6dbae64947e90079ea54c - sha256: 3ee5870402d41db9d93af61cc15ca7b8ccfccc6a024d564d764aabd4ac8ce908 + md5: d60881c78a54cbf8042ae719f1f77a50 + sha256: 5259ad2fb47300407dafa6ea5e78085a2c8de8dcdbfbaa58592bf2677d7187a9 category: main optional: false - name: nbgitpuller @@ -9484,7 +9484,7 @@ package: category: main optional: false - name: pangeo-notebook - version: 2023.09.25 + version: 2023.10.21 manager: conda platform: linux-64 dependencies: @@ -9492,12 +9492,12 @@ package: ipywidgets: 8.1.1.* jupyter-server-proxy: 4.1.0.* jupyterhub-singleuser: 4.0.2.* - jupyterlab: 4.0.6.* + jupyterlab: 4.0.7.* nbgitpuller: 1.2.0.* - pangeo-dask: 2023.09.17.* - url: https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.09.25-hd8ed1ab_0.conda + pangeo-dask: 2023.10.17.* + url: https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.10.21-hd8ed1ab_0.conda hash: - md5: f5c6073b4df9054f49ac0d828e5919d2 - sha256: 438d39774653f5fd325fc6e2817c41b0798a3af9800ee741972bc7109b407233 + md5: d615e75de4532601342a82c6789098b4 + sha256: b72c245d4cc0cd3f70c97c4d75a9438f5c484b762695de7ed30fbf25d43441a2 category: main optional: false diff --git a/pangeo-notebook/packages.txt b/pangeo-notebook/packages.txt index 7834e76d..edc71f19 100644 --- a/pangeo-notebook/packages.txt +++ b/pangeo-notebook/packages.txt @@ -105,9 +105,9 @@ cuda-version==11.8 cycler==0.12.1 cython==3.0.4 cytoolz==0.12.2 -dask==2023.9.2 -dask-core==2023.9.2 -dask-gateway==2023.1.1 +dask==2023.10.0 +dask-core==2023.10.0 +dask-gateway==2023.9.0 dask-glm==0.2.0 dask-labextension==7.0.0 dask-ml==2023.3.24 @@ -118,7 +118,7 @@ debugpy==1.8.0 decorator==5.1.1 defusedxml==0.7.1 descartes==1.1.0 -distributed==2023.9.2 +distributed==2023.10.0 distro==1.8.0 docopt==0.6.2 docrep==0.3.2 @@ -256,7 +256,7 @@ jupyter_server_xarray_leaflet==0.2.3 jupyter_telemetry==0.1.0 jupyterhub-base==4.0.2 jupyterhub-singleuser==4.0.2 -jupyterlab==4.0.6 +jupyterlab==4.0.7 jupyterlab-git==0.41.0 jupyterlab_pygments==0.2.2 jupyterlab_server==2.25.0 @@ -392,7 +392,7 @@ netcdf4==1.6.4 nettle==3.8.1 networkx==3.2 noise==1.2.2 -notebook==7.0.4 +notebook==7.0.6 notebook-shim==0.2.3 nspr==4.35 nss==3.94 @@ -415,8 +415,8 @@ pamela==1.1.0 pandas==2.1.1 pandocfilters==1.5.0 panel==1.2.3 -pangeo-dask==2023.09.17 -pangeo-notebook==2023.09.25 +pangeo-dask==2023.10.17 +pangeo-notebook==2023.10.21 pango==1.50.14 param==1.13.0 parcels==3.0.0 diff --git a/pytorch-notebook/conda-linux-64.lock b/pytorch-notebook/conda-linux-64.lock index bccc14d8..331430ff 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: a114d90bcab79ac1963c77f26f836d2bc8d95f40191d3d07b726e8bed698f946 +# input_hash: ce8c85c6be5565f8f81c14100ea5fd46081976ebf16b07af2c5421427f7c7d77 @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 @@ -33,7 +33,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h807b86a_2.cond https://conda.anaconda.org/conda-forge/linux-64/aom-3.6.1-h59595ed_0.conda#8457db6d1175ee86c8e077f6ac60ff55 https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.9.4-hd590300_0.conda#8dacaf703f8e57aa0c4f0c5c8f4be39b https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h7f98852_4.tar.bz2#a1fd65c7ccbf10880423d82bca54eb54 -https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.20.1-hd590300_0.conda#6642e4faa4804be3a0e7edfefbd16595 +https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.20.1-hd590300_1.conda#2facbaf5ee1a56967aecaee89799160e https://conda.anaconda.org/conda-forge/linux-64/charls-2.4.2-h59595ed_0.conda#4336bd67920dd504cd8c6761d6a99645 https://conda.anaconda.org/conda-forge/linux-64/cudatoolkit-11.8.0-h4ba93d1_12.conda#59a4d915d3406b3d11298e927db71ae0 https://conda.anaconda.org/conda-forge/linux-64/dav1d-1.2.1-hd590300_0.conda#418c6ca5929a611cbd69204907a83995 @@ -504,7 +504,7 @@ https://conda.anaconda.org/conda-forge/linux-64/cftime-1.6.2-py311h1f0f07a_2.con https://conda.anaconda.org/conda-forge/linux-64/ciso-0.2.0-py311h1f0f07a_2.conda#93f5a1d6842951c404d01f4f375db170 https://conda.anaconda.org/conda-forge/noarch/colorspacious-1.1.2-pyh24bf2e0_0.tar.bz2#b73afa0d009a51cabd3ec99c4d2ef4f3 https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.1.1-py311h9547e67_1.conda#52d3de443952d33c5cee6b24b172ce96 -https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.9.2-pyhd8ed1ab_0.conda#cce7eeb7eda0124af186a5e9ce9b0fca +https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.10.0-pyhd8ed1ab_0.conda#6b415b2cd4a106b8eb1632be126ede81 https://conda.anaconda.org/conda-forge/noarch/datashape-0.5.4-py_1.tar.bz2#50ddfce434ea596fc4497085f403a9d5 https://conda.anaconda.org/conda-forge/noarch/eofs-1.4.0-py_0.tar.bz2#6e166cd37cfeadefcfca1ffe00f222bb https://conda.anaconda.org/conda-forge/noarch/fastapi-0.104.0-pyhd8ed1ab_0.conda#054e4357fda8c9ad892c05a2f94884b3 @@ -573,7 +573,7 @@ https://conda.anaconda.org/conda-forge/noarch/certipy-0.1.3-py_0.tar.bz2#2348671 https://conda.anaconda.org/conda-forge/noarch/cgen-2020.1-py_0.tar.bz2#f51cf23f72dcc18e07f44feb5a152d6e https://conda.anaconda.org/conda-forge/noarch/cleo-2.0.1-pyhd8ed1ab_0.conda#f1c5f2af6676cbe9206e191d1e70f661 https://conda.anaconda.org/conda-forge/noarch/colorcet-3.0.1-pyhd8ed1ab_0.tar.bz2#1e424f22b3e2713068fe12d57f2dec5b -https://conda.anaconda.org/conda-forge/noarch/distributed-2023.9.2-pyhd8ed1ab_0.conda#ddb4fd6105b4005b312625cef210ba67 +https://conda.anaconda.org/conda-forge/noarch/distributed-2023.10.0-pyhd8ed1ab_0.conda#3ecca3ba0a497f06e697777464a2cae9 https://conda.anaconda.org/conda-forge/linux-64/eccodes-2.32.0-h35c6de3_0.conda#e88f9169cf460141643ad70f6ab9b6c8 https://conda.anaconda.org/conda-forge/noarch/erddapy-2.2.0-pyhd8ed1ab_0.conda#ff7354c3bb305f54715d719b99146977 https://conda.anaconda.org/conda-forge/linux-64/esmf-8.4.2-mpi_mpich_h2a0de38_103.conda#fd129fb34d1d5abc348b0faebbeb6513 @@ -677,7 +677,7 @@ https://conda.anaconda.org/conda-forge/noarch/xarray-spatial-0.3.5-pyhd8ed1ab_0. https://conda.anaconda.org/conda-forge/noarch/xesmf-0.8.2-pyhd8ed1ab_0.conda#8e765a0eca0ce1cfa889cd9af82a23a8 https://conda.anaconda.org/conda-forge/linux-64/xgboost-1.7.6-cuda118py311he6248c7_5.conda#00f60bd90006f639468ae33a764b966c https://conda.anaconda.org/conda-forge/noarch/xmip-0.7.1-pyhd8ed1ab_0.conda#e70793265785700648629a38c1154b1c -https://conda.anaconda.org/conda-forge/noarch/dask-2023.9.2-pyhd8ed1ab_0.conda#29e33df59c9eac1a599b9cd18d54b4d3 +https://conda.anaconda.org/conda-forge/noarch/dask-2023.10.0-pyhd8ed1ab_0.conda#0c85f5482dd283c2b9ca68d331edb471 https://conda.anaconda.org/conda-forge/noarch/geocube-0.4.2-pyhd8ed1ab_1.conda#0d021ab36a19d5c7b90b25945ed737f1 https://conda.anaconda.org/conda-forge/noarch/geoviews-core-1.10.1-pyha770c72_0.conda#95d909e4a2674ae827cffc7bea89e264 https://conda.anaconda.org/conda-forge/noarch/hvplot-0.9.0-pyhd8ed1ab_0.conda#a8de7286634ea0fad74e25b6fce670ad @@ -689,7 +689,7 @@ https://conda.anaconda.org/conda-forge/noarch/jupyter_server-2.8.0-pyhd8ed1ab_0. https://conda.anaconda.org/conda-forge/noarch/pretrainedmodels-0.7.4-pyhd8ed1ab_2.tar.bz2#ed1ffbcee86a6656baaf64dc830260bf https://conda.anaconda.org/conda-forge/noarch/pytorch-lightning-2.1.0-pyhd8ed1ab_0.conda#2049b36b43c74d1878443b18526a0bbd https://conda.anaconda.org/conda-forge/noarch/timm-0.9.2-pyhd8ed1ab_0.conda#5703fcf25c036edb6756db891140f981 -https://conda.anaconda.org/conda-forge/noarch/dask-gateway-2023.1.1-pyh8af1aa0_0.conda#cc31948b0296541ca2f4e7cd0f2ba966 +https://conda.anaconda.org/conda-forge/noarch/dask-gateway-2023.9.0-pyh8af1aa0_0.conda#99b9527f0fb7a1bd49858879fa9c4e2e https://conda.anaconda.org/conda-forge/noarch/dask-glm-0.2.0-py_1.tar.bz2#7c9c5295a0499bf56bbf084578618af5 https://conda.anaconda.org/conda-forge/noarch/gcm_filters-0.3.0-pyhd8ed1ab_0.tar.bz2#359d7781246fb5f8ccb68cda84db9753 https://conda.anaconda.org/conda-forge/noarch/intake-0.7.0-pyhd8ed1ab_0.conda#310f0fdaec6eecd9cc7833a788bafb1f @@ -721,9 +721,9 @@ https://conda.anaconda.org/conda-forge/noarch/intake-esm-2023.6.14-pyhd8ed1ab_0. https://conda.anaconda.org/conda-forge/noarch/intake-geopandas-0.4.0-pyhd8ed1ab_0.tar.bz2#5d6429a927d1ef3c0d26d81f5d7b31f0 https://conda.anaconda.org/conda-forge/noarch/intake-xarray-0.7.0-pyhd8ed1ab_0.conda#d6471673fac9fa8f13a2517315ffcf6b https://conda.anaconda.org/conda-forge/noarch/jupyter-panel-proxy-0.1.0-py_0.tar.bz2#80c21feab6100e287707c371c752adea -https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.6-pyhd8ed1ab_0.conda#80bb1cc3b540790cb5afecd73c2d4d1f +https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.7-pyhd8ed1ab_0.conda#80318d83f33b3bf4e57b8533b7a6691d https://conda.anaconda.org/conda-forge/noarch/nbdime-3.2.1-pyhd8ed1ab_0.conda#7b6c7f9f427dd668fd1ef4c6b3454528 -https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.09.17-hd8ed1ab_0.conda#c4f081e4d9eb719894377d7cd0925c73 +https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.10.17-hd8ed1ab_0.conda#acd4bfa33d152952217e8ad5790cf46f https://conda.anaconda.org/conda-forge/noarch/satpy-0.44.0-pyhd8ed1ab_0.conda#e48a1915f8cc7f15e88592e6a5041c92 https://conda.anaconda.org/conda-forge/noarch/torchgeo-0.5.0-pyhd8ed1ab_0.conda#89f1e945eb8b73e0ff4f08ef8eb39078 https://conda.anaconda.org/conda-forge/noarch/xarray_leaflet-0.2.3-pyhd8ed1ab_0.conda#14ac9ee6946c1e1bf0489235066151a0 @@ -733,6 +733,6 @@ https://conda.anaconda.org/conda-forge/noarch/intake-stac-0.4.0-pyhd8ed1ab_0.tar https://conda.anaconda.org/conda-forge/noarch/jupyterhub-singleuser-4.0.2-pyh31011fe_0.conda#9eb773051ad8ecc804ed3bdec84ecce5 https://conda.anaconda.org/conda-forge/noarch/jupyterlab-git-0.41.0-pyhd8ed1ab_1.conda#5985549f77be4aae95bfd9e1a7916144 https://conda.anaconda.org/conda-forge/noarch/jupyterlab-nvdashboard-0.4.0-py_1.tar.bz2#db9d9de7fbfb8de2084bf8af033f01eb -https://conda.anaconda.org/conda-forge/noarch/notebook-7.0.4-pyhd8ed1ab_0.conda#9fe0b0f2e8a6dbae64947e90079ea54c +https://conda.anaconda.org/conda-forge/noarch/notebook-7.0.6-pyhd8ed1ab_0.conda#d60881c78a54cbf8042ae719f1f77a50 https://conda.anaconda.org/conda-forge/noarch/nbgitpuller-1.2.0-pyhd8ed1ab_0.conda#e74db5ccfcf794e3d67ec7c9c125a39a -https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.09.25-hd8ed1ab_0.conda#f5c6073b4df9054f49ac0d828e5919d2 +https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.10.21-hd8ed1ab_0.conda#d615e75de4532601342a82c6789098b4 diff --git a/pytorch-notebook/conda-lock.yml b/pytorch-notebook/conda-lock.yml index afa78690..c9aa3ad9 100644 --- a/pytorch-notebook/conda-lock.yml +++ b/pytorch-notebook/conda-lock.yml @@ -13,7 +13,7 @@ version: 1 metadata: content_hash: - linux-64: a114d90bcab79ac1963c77f26f836d2bc8d95f40191d3d07b726e8bed698f946 + linux-64: ce8c85c6be5565f8f81c14100ea5fd46081976ebf16b07af2c5421427f7c7d77 channels: - url: conda-forge used_env_vars: [] @@ -391,10 +391,10 @@ package: platform: linux-64 dependencies: libgcc-ng: '>=12' - url: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.20.1-hd590300_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.20.1-hd590300_1.conda hash: - md5: 6642e4faa4804be3a0e7edfefbd16595 - sha256: afe0f91314a1de2969bb7ebb92bf6c9d3326fb8cdbdc00d8111bad8952a8dc0f + md5: 2facbaf5ee1a56967aecaee89799160e + sha256: 1700d9ebfd3b21c8b50e12a502f26e015719e1f3dbb5d491b5be061cf148ca7a category: main optional: false - name: charls @@ -6869,7 +6869,7 @@ package: category: main optional: false - name: dask-core - version: 2023.9.2 + version: 2023.10.0 manager: conda platform: linux-64 dependencies: @@ -6882,10 +6882,10 @@ package: python: '>=3.9' pyyaml: '>=5.3.1' toolz: '>=0.10.0' - url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.9.2-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.10.0-pyhd8ed1ab_0.conda hash: - md5: cce7eeb7eda0124af186a5e9ce9b0fca - sha256: b43c994185ca4a7c694ea519ae8a2df40dea6eb92ebc91d1018fed245f3cf693 + md5: 6b415b2cd4a106b8eb1632be126ede81 + sha256: b190a8d740bbd47b032566177cb0b7eed9caef2129b35a9b93ad733053b8baa3 category: main optional: false - name: datashape @@ -8014,14 +8014,14 @@ package: category: main optional: false - name: distributed - version: 2023.9.2 + version: 2023.10.0 manager: conda platform: linux-64 dependencies: click: '>=8.0' cloudpickle: '>=1.5.0' cytoolz: '>=0.10.1' - dask-core: '>=2023.9.2,<2023.9.3.0a0' + dask-core: '>=2023.10.0,<2023.10.1.0a0' jinja2: '>=2.10.3' locket: '>=1.0.0' msgpack-python: '>=1.0.0' @@ -8035,10 +8035,10 @@ package: tornado: '>=6.0.4' urllib3: '>=1.24.3' zict: '>=3.0.0' - url: https://conda.anaconda.org/conda-forge/noarch/distributed-2023.9.2-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/distributed-2023.10.0-pyhd8ed1ab_0.conda hash: - md5: ddb4fd6105b4005b312625cef210ba67 - sha256: eadadb8513189df407805ef7479f18d22bcc297f00a7d96ec1402628b40e6a69 + md5: 3ecca3ba0a497f06e697777464a2cae9 + sha256: 78ff62c002b4690ca5352b2adf1b59ac0ecbb0d5348cdd8d1aa2244cfac2074c category: main optional: false - name: eccodes @@ -9972,24 +9972,24 @@ package: category: main optional: false - name: dask - version: 2023.9.2 + version: 2023.10.0 manager: conda platform: linux-64 dependencies: bokeh: '>=2.4.2,!=3.0.*' cytoolz: '>=0.11.0' - dask-core: '>=2023.9.2,<2023.9.3.0a0' - distributed: '>=2023.9.2,<2023.9.3.0a0' + dask-core: '>=2023.10.0,<2023.10.1.0a0' + distributed: '>=2023.10.0,<2023.10.1.0a0' jinja2: '>=2.10.3' lz4: '>=4.3.2' numpy: '>=1.21' pandas: '>=1.3' pyarrow: '>=7.0' python: '>=3.9' - url: https://conda.anaconda.org/conda-forge/noarch/dask-2023.9.2-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/dask-2023.10.0-pyhd8ed1ab_0.conda hash: - md5: 29e33df59c9eac1a599b9cd18d54b4d3 - sha256: c9b227463dec8e8583df9fd279453ceeec08368d74ab50502a78f941aa9675f2 + md5: 0c85f5482dd283c2b9ca68d331edb471 + sha256: 6303ca87d0020c6f657218c3f019ccc8365340aa88a447c9876f8dad76b50589 category: main optional: false - name: geocube @@ -10197,21 +10197,21 @@ package: category: main optional: false - name: dask-gateway - version: 2023.1.1 + version: 2023.9.0 manager: conda platform: linux-64 dependencies: aiohttp: '' - click: '' + click: '>=8.1.3' dask: '>=2022.4.0' distributed: '>=2022.4.0' - python: '>=3.8' + python: '>=3.9' pyyaml: '' tornado: '' - url: https://conda.anaconda.org/conda-forge/noarch/dask-gateway-2023.1.1-pyh8af1aa0_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/dask-gateway-2023.9.0-pyh8af1aa0_0.conda hash: - md5: cc31948b0296541ca2f4e7cd0f2ba966 - sha256: b5ac149d1c6555c4220902876c08d41b11c5d94f98c49b268be38844acca0ba3 + md5: 99b9527f0fb7a1bd49858879fa9c4e2e + sha256: 8f20f176e0bd70fb36f300ff3a87aa68940b5bd143beb8637e2335d14da78dfd category: main optional: false - name: dask-glm @@ -10814,7 +10814,7 @@ package: category: main optional: false - name: jupyterlab - version: 4.0.6 + version: 4.0.7 manager: conda platform: linux-64 dependencies: @@ -10833,10 +10833,10 @@ package: tomli: '' tornado: '>=6.2.0' traitlets: '' - url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.6-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.7-pyhd8ed1ab_0.conda hash: - md5: 80bb1cc3b540790cb5afecd73c2d4d1f - sha256: 5eb157e0ec794c0d4b100e9b11efefcc8d8b50b6c298539df31ab79ff9fbe446 + md5: 80318d83f33b3bf4e57b8533b7a6691d + sha256: 1d841546fd239d7edefbf00edd3bad4680b12c3eb2549026d6aa70a301f23295 category: main optional: false - name: nbdime @@ -10861,17 +10861,17 @@ package: category: main optional: false - name: pangeo-dask - version: 2023.09.17 + version: 2023.10.17 manager: conda platform: linux-64 dependencies: - dask: 2023.9.2.* - dask-gateway: 2023.1.1.* - distributed: 2023.9.2.* - url: https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.09.17-hd8ed1ab_0.conda + dask: 2023.10.0.* + dask-gateway: 2023.9.0.* + distributed: 2023.10.0.* + url: https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.10.17-hd8ed1ab_0.conda hash: - md5: c4f081e4d9eb719894377d7cd0925c73 - sha256: 0024b652c893776991a9b24349f8b18969681a4144128a52ec836fb4c8d74bf3 + md5: acd4bfa33d152952217e8ad5790cf46f + sha256: 101b60d0529879a93f6eb0f2dcd4403586eccd2dfd6b33640786efd205b46be9 category: main optional: false - name: satpy @@ -11063,20 +11063,20 @@ package: category: main optional: false - name: notebook - version: 7.0.4 + version: 7.0.6 manager: conda platform: linux-64 dependencies: jupyter_server: '>=2.4.0,<3' - jupyterlab: '>=4.0.2,<5' + jupyterlab: '>=4.0.7,<5' jupyterlab_server: '>=2.22.1,<3' notebook-shim: '>=0.2,<0.3' python: '>=3.8' tornado: '>=6.2.0' - url: https://conda.anaconda.org/conda-forge/noarch/notebook-7.0.4-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/notebook-7.0.6-pyhd8ed1ab_0.conda hash: - md5: 9fe0b0f2e8a6dbae64947e90079ea54c - sha256: 3ee5870402d41db9d93af61cc15ca7b8ccfccc6a024d564d764aabd4ac8ce908 + md5: d60881c78a54cbf8042ae719f1f77a50 + sha256: 5259ad2fb47300407dafa6ea5e78085a2c8de8dcdbfbaa58592bf2677d7187a9 category: main optional: false - name: nbgitpuller @@ -11095,7 +11095,7 @@ package: category: main optional: false - name: pangeo-notebook - version: 2023.09.25 + version: 2023.10.21 manager: conda platform: linux-64 dependencies: @@ -11103,12 +11103,12 @@ package: ipywidgets: 8.1.1.* jupyter-server-proxy: 4.1.0.* jupyterhub-singleuser: 4.0.2.* - jupyterlab: 4.0.6.* + jupyterlab: 4.0.7.* nbgitpuller: 1.2.0.* - pangeo-dask: 2023.09.17.* - url: https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.09.25-hd8ed1ab_0.conda + pangeo-dask: 2023.10.17.* + url: https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.10.21-hd8ed1ab_0.conda hash: - md5: f5c6073b4df9054f49ac0d828e5919d2 - sha256: 438d39774653f5fd325fc6e2817c41b0798a3af9800ee741972bc7109b407233 + md5: d615e75de4532601342a82c6789098b4 + sha256: b72c245d4cc0cd3f70c97c4d75a9438f5c484b762695de7ed30fbf25d43441a2 category: main optional: false diff --git a/pytorch-notebook/packages.txt b/pytorch-notebook/packages.txt index 0efa8d7b..b191e884 100644 --- a/pytorch-notebook/packages.txt +++ b/pytorch-notebook/packages.txt @@ -119,9 +119,9 @@ cudnn==8.8.0.121 cycler==0.12.1 cython==3.0.4 cytoolz==0.12.2 -dask==2023.9.2 -dask-core==2023.9.2 -dask-gateway==2023.1.1 +dask==2023.10.0 +dask-core==2023.10.0 +dask-gateway==2023.9.0 dask-glm==0.2.0 dask-labextension==7.0.0 dask-ml==2023.3.24 @@ -137,7 +137,7 @@ deepdiff==6.6.1 defusedxml==0.7.1 descartes==1.1.0 distlib==0.3.7 -distributed==2023.9.2 +distributed==2023.10.0 docopt==0.6.2 docrep==0.3.2 docstring_parser==0.15 @@ -290,7 +290,7 @@ jupyter_server_xarray_leaflet==0.2.3 jupyter_telemetry==0.1.0 jupyterhub-base==4.0.2 jupyterhub-singleuser==4.0.2 -jupyterlab==4.0.6 +jupyterlab==4.0.7 jupyterlab-git==0.41.0 jupyterlab-nvdashboard==0.4.0 jupyterlab_pygments==0.2.2 @@ -454,7 +454,7 @@ nettle==3.8.1 networkx==3.2 nodejs==20.8.1 noise==1.2.2 -notebook==7.0.4 +notebook==7.0.6 notebook-shim==0.2.3 nspr==4.35 nss==3.94 @@ -480,8 +480,8 @@ pamela==1.1.0 pandas==2.1.1 pandocfilters==1.5.0 panel==1.2.3 -pangeo-dask==2023.09.17 -pangeo-notebook==2023.09.25 +pangeo-dask==2023.10.17 +pangeo-notebook==2023.10.21 pango==1.50.14 parallelio==2.6.2 param==1.13.0