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-https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.11-3_cp311.conda#c2e2630ddb68cf52eec74dc7dfab20b5 +https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.11-4_cp311.conda#d786502c97404c94d7d58d258a445a65 https://conda.anaconda.org/conda-forge/noarch/tzdata-2023c-h71feb2d_0.conda#939e3e74d8be4dac89ce83b20de2492a https://conda.anaconda.org/conda-forge/linux-64/libgomp-13.2.0-h807b86a_1.conda#8bb001683321dcbde117a7337b5aace7 https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2#73aaf86a425cc6e73fcf236a5a46396d @@ -216,7 +216,7 @@ 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-0.23.1-hffbee3f_1.conda#e56fcd606b5311dc13c70279b359f13b https://conda.anaconda.org/conda-forge/linux-64/contourpy-1.1.1-py311h9547e67_0.conda#db5b3b0093d0d4565e5c89578108402e -https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.9.1-pyhd8ed1ab_0.conda#e420da4262d61ab10156219edbabb54b +https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.9.2-pyhd8ed1ab_0.conda#cce7eeb7eda0124af186a5e9ce9b0fca https://conda.anaconda.org/conda-forge/noarch/isoduration-20.11.0-pyhd8ed1ab_0.tar.bz2#4cb68948e0b8429534380243d063a27a https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.19.0-pyhd8ed1ab_1.conda#d442886dffcee45604595fea2ad3a181 https://conda.anaconda.org/conda-forge/linux-64/jupyter_core-5.3.1-py311h38be061_0.conda#0cf8259b01ede82c76007996f73f89ed @@ -227,7 +227,7 @@ 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-1.11.156-he6c2984_2.conda#897c30dedccac6d1f73dd52b14e8e70f 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-https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.09.11-hd8ed1ab_0.conda#3c9b999ef4bda85e87188d6f5b48c3f8 +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/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-7.0.3-pyhd8ed1ab_0.conda#1f2d368cde97926b5e351d1a0286bb1e https://conda.anaconda.org/conda-forge/noarch/nbgitpuller-1.2.0-pyhd8ed1ab_0.conda#e74db5ccfcf794e3d67ec7c9c125a39a -https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.09.12-hd8ed1ab_0.conda#de9c4e3ab9db9274126dbed7cbfecfb9 +https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.09.18-hd8ed1ab_0.conda#666c18687e7579688f57665ecfb8402f diff --git a/base-notebook/conda-lock.yml b/base-notebook/conda-lock.yml index fab235f4..6aa0fa60 100644 --- a/base-notebook/conda-lock.yml +++ b/base-notebook/conda-lock.yml @@ -13,7 +13,7 @@ version: 1 metadata: content_hash: - linux-64: eee33c74e98906cd925c71aba3eb92c8cd8692449998df3c0536e293135f8dd1 + linux-64: c5d1bfa01f6b865e91072b7a46e8d038586ee6f9a6163d6f96b65db332cbb73a channels: - url: conda-forge used_env_vars: [] @@ -71,10 +71,10 @@ package: manager: conda platform: linux-64 dependencies: {} - url: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.11-3_cp311.conda + url: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.11-4_cp311.conda hash: - md5: c2e2630ddb68cf52eec74dc7dfab20b5 - sha256: 2966a87dcb0b11fad28f9fe8216bfa4071115776b47ffc7547492fed176e1a1f + md5: d786502c97404c94d7d58d258a445a65 + sha256: 0be3ac1bf852d64f553220c7e6457e9c047dfb7412da9d22fbaa67e60858b3cf category: main optional: false - name: tzdata @@ -2894,7 +2894,7 @@ package: category: main optional: false - name: dask-core - version: 2023.9.1 + version: 2023.9.2 manager: conda platform: linux-64 dependencies: @@ -2907,10 +2907,10 @@ package: python: '>=3.9' pyyaml: '>=5.3.1' toolz: '>=0.10.0' - url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.9.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.9.2-pyhd8ed1ab_0.conda hash: - md5: e420da4262d61ab10156219edbabb54b - sha256: a398ddfc8664c00a55481bec61406ab677e1910724343c708fff73859f8317df + md5: cce7eeb7eda0124af186a5e9ce9b0fca + sha256: b43c994185ca4a7c694ea519ae8a2df40dea6eb92ebc91d1018fed245f3cf693 category: main optional: false - name: isoduration @@ -3074,14 +3074,14 @@ package: category: main optional: false - name: distributed - version: 2023.9.1 + version: 2023.9.2 manager: conda platform: linux-64 dependencies: click: '>=8.0' cloudpickle: '>=1.5.0' cytoolz: '>=0.10.1' - dask-core: '>=2023.9.1,<2023.9.2.0a0' + dask-core: '>=2023.9.2,<2023.9.3.0a0' jinja2: '>=2.10.3' locket: '>=1.0.0' msgpack-python: '>=1.0.0' @@ -3095,10 +3095,10 @@ package: tornado: '>=6.0.4' urllib3: '>=1.24.3' zict: '>=3.0.0' - url: https://conda.anaconda.org/conda-forge/noarch/distributed-2023.9.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/distributed-2023.9.2-pyhd8ed1ab_0.conda hash: - md5: e3841f3799c666f8705a2aa6604af294 - sha256: 9ddfd2d9d9108ca7bf70c463d602ed786e8880ea8941767c682febc5fcc3a083 + md5: ddb4fd6105b4005b312625cef210ba67 + sha256: eadadb8513189df407805ef7479f18d22bcc297f00a7d96ec1402628b40e6a69 category: main optional: false - name: jsonschema-with-format-nongpl @@ -3331,20 +3331,20 @@ package: category: main optional: false - name: ipywidgets - version: 8.1.0 + version: 8.1.1 manager: conda platform: linux-64 dependencies: comm: '>=0.1.3' ipython: '>=6.1.0' - jupyterlab_widgets: '>=3.0.7,<3.1.0' + jupyterlab_widgets: '>=3.0.9,<3.1.0' python: '>=3.7' traitlets: '>=4.3.1' - widgetsnbextension: '>=4.0.7,<4.1.0' - url: https://conda.anaconda.org/conda-forge/noarch/ipywidgets-8.1.0-pyhd8ed1ab_0.conda + widgetsnbextension: '>=4.0.9,<4.1.0' + url: https://conda.anaconda.org/conda-forge/noarch/ipywidgets-8.1.1-pyhd8ed1ab_0.conda hash: - md5: 6fe1e9c8e93261e978998c0e90e36275 - sha256: 71f920b0b89eb177511ff2d8bd9904c9c6c96d731f90ec97168cc28bc86ed623 + md5: 2605fae5ee27100e5f10037baebf4d41 + sha256: 8136defec115396ba992273a77f814d74eeafd9cc099f5430d109c60785a7f02 category: main optional: false - name: nbconvert-core @@ -3393,24 +3393,24 @@ package: category: main optional: false - name: dask - version: 2023.9.1 + version: 2023.9.2 manager: conda platform: linux-64 dependencies: bokeh: '>=2.4.2,!=3.0.*' cytoolz: '>=0.11.0' - dask-core: '>=2023.9.1,<2023.9.2.0a0' - distributed: '>=2023.9.1,<2023.9.2.0a0' + dask-core: '>=2023.9.2,<2023.9.3.0a0' + distributed: '>=2023.9.2,<2023.9.3.0a0' 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-2023.9.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/dask-2023.9.2-pyhd8ed1ab_0.conda hash: - md5: 7192f8f126e50d6d0274fbbf4e73e9cf - sha256: 41fee1aff71d2c30db63797447b8b72ef4f6d82760f7b41e26d16d8bdb2ac6f5 + md5: 29e33df59c9eac1a599b9cd18d54b4d3 + sha256: c9b227463dec8e8583df9fd279453ceeec08368d74ab50502a78f941aa9675f2 category: main optional: false - name: jupyter_server @@ -3525,7 +3525,7 @@ package: category: main optional: false - name: jupyterlab - version: 4.0.5 + version: 4.0.6 manager: conda platform: linux-64 dependencies: @@ -3544,24 +3544,24 @@ package: tomli: '' tornado: '>=6.2.0' traitlets: '' - url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.5-pyhd8ed1ab_0.conda + url: 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category: main optional: false - name: dask-labextension @@ -3628,20 +3628,20 @@ package: category: main optional: false - name: pangeo-notebook - version: 2023.09.12 + version: 2023.09.18 manager: conda platform: linux-64 dependencies: dask-labextension: 7.0.0.* - ipywidgets: 8.1.0.* + ipywidgets: 8.1.1.* jupyter-server-proxy: 4.0.0.* jupyterhub-singleuser: 4.0.2.* - jupyterlab: 4.0.5.* + jupyterlab: 4.0.6.* nbgitpuller: 1.2.0.* - pangeo-dask: 2023.09.11.* - url: https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.09.12-hd8ed1ab_0.conda + pangeo-dask: 2023.09.17.* + url: https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.09.18-hd8ed1ab_0.conda hash: - md5: de9c4e3ab9db9274126dbed7cbfecfb9 - sha256: 0ad9b3fb4418c527fe66b87f771f40ef70fad1f10d0bedef68e7224c0a116486 + md5: 666c18687e7579688f57665ecfb8402f + sha256: b1ce6dba60c4db0611e6f54bb794e4bdf50633b2495d8ae36dd3b26533f5c77a category: main optional: false diff --git a/base-notebook/environment.yml b/base-notebook/environment.yml index fd25bcfd..e093d17c 100644 --- a/base-notebook/environment.yml +++ b/base-notebook/environment.yml @@ -4,5 +4,5 @@ channels: - nodefaults dependencies: - python=3.11 - - pangeo-notebook=2023.09.12 + - pangeo-notebook=2023.09.18 - pip diff --git a/base-notebook/packages.txt b/base-notebook/packages.txt index a8240d34..1c64817f 100644 --- a/base-notebook/packages.txt +++ b/base-notebook/packages.txt @@ -51,14 +51,14 @@ comm==0.1.4 contourpy==1.1.1 cryptography==41.0.3 cytoolz==0.12.2 -dask==2023.9.1 -dask-core==2023.9.1 +dask==2023.9.2 +dask-core==2023.9.2 dask-gateway==2023.1.1 dask-labextension==7.0.0 debugpy==1.8.0 decorator==5.1.1 defusedxml==0.7.1 -distributed==2023.9.1 +distributed==2023.9.2 entrypoints==0.4 exceptiongroup==1.1.3 executing==1.2.0 @@ -75,7 +75,7 @@ importlib_metadata==6.8.0 importlib_resources==6.0.1 ipykernel==6.25.2 ipython==8.15.0 -ipywidgets==8.1.0 +ipywidgets==8.1.1 isoduration==20.11.0 jedi==0.19.0 jinja2==3.1.2 @@ -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==4.0.5 +jupyterlab==4.0.6 jupyterlab_pygments==0.2.2 jupyterlab_server==2.25.0 jupyterlab_widgets==3.0.9 @@ -170,8 +170,8 @@ packaging==23.1 pamela==1.1.0 pandas==2.1.0 pandocfilters==1.5.0 -pangeo-dask==2023.09.11 -pangeo-notebook==2023.09.12 +pangeo-dask==2023.09.17 +pangeo-notebook==2023.09.18 parso==0.8.3 partd==1.4.0 pexpect==4.8.0 diff --git a/ml-notebook/conda-linux-64.lock b/ml-notebook/conda-linux-64.lock index 95c7f80c..2260fb81 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: df2c981657dd9b04b80be6c5988c1f5506f277e9048264e39d2e7c6931d520bb +# input_hash: bd17c5562a07253ffe8621d6a38fe69d69e49571d05e70591ceb66a753bb5e1d @EXPLICIT 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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-4.0.5-pyhd8ed1ab_0.conda#fce8108e7dfb3622873a85e495a72dda +https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.6-pyhd8ed1ab_0.conda#80bb1cc3b540790cb5afecd73c2d4d1f https://conda.anaconda.org/conda-forge/noarch/nbdime-3.2.1-pyhd8ed1ab_0.conda#7b6c7f9f427dd668fd1ef4c6b3454528 -https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.09.11-hd8ed1ab_0.conda#3c9b999ef4bda85e87188d6f5b48c3f8 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https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.11-3_cp311.conda + url: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.11-4_cp311.conda hash: - md5: c2e2630ddb68cf52eec74dc7dfab20b5 - sha256: 2966a87dcb0b11fad28f9fe8216bfa4071115776b47ffc7547492fed176e1a1f + md5: d786502c97404c94d7d58d258a445a65 + sha256: 0be3ac1bf852d64f553220c7e6457e9c047dfb7412da9d22fbaa67e60858b3cf category: main optional: false - name: tzdata @@ -6241,7 +6241,7 @@ package: category: main optional: false - name: dask-core - version: 2023.9.1 + version: 2023.9.2 manager: conda platform: linux-64 dependencies: @@ -6254,10 +6254,10 @@ package: python: '>=3.9' pyyaml: '>=5.3.1' toolz: '>=0.10.0' - url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.9.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.9.2-pyhd8ed1ab_0.conda hash: - md5: e420da4262d61ab10156219edbabb54b - sha256: a398ddfc8664c00a55481bec61406ab677e1910724343c708fff73859f8317df 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false - name: distributed - version: 2023.9.1 + version: 2023.9.2 manager: conda platform: linux-64 dependencies: click: '>=8.0' cloudpickle: '>=1.5.0' cytoolz: '>=0.10.1' - dask-core: '>=2023.9.1,<2023.9.2.0a0' + dask-core: '>=2023.9.2,<2023.9.3.0a0' jinja2: '>=2.10.3' locket: '>=1.0.0' msgpack-python: '>=1.0.0' @@ -7776,10 +7776,10 @@ package: tornado: '>=6.0.4' urllib3: '>=1.24.3' zict: '>=3.0.0' - url: https://conda.anaconda.org/conda-forge/noarch/distributed-2023.9.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/distributed-2023.9.2-pyhd8ed1ab_0.conda hash: - md5: e3841f3799c666f8705a2aa6604af294 - sha256: 9ddfd2d9d9108ca7bf70c463d602ed786e8880ea8941767c682febc5fcc3a083 + md5: ddb4fd6105b4005b312625cef210ba67 + sha256: eadadb8513189df407805ef7479f18d22bcc297f00a7d96ec1402628b40e6a69 category: main optional: false - name: esmpy @@ -8472,20 +8472,20 @@ package: category: main optional: false - name: ipywidgets - version: 8.1.0 + version: 8.1.1 manager: conda platform: linux-64 dependencies: comm: '>=0.1.3' ipython: '>=6.1.0' - jupyterlab_widgets: '>=3.0.7,<3.1.0' + jupyterlab_widgets: '>=3.0.9,<3.1.0' python: '>=3.7' traitlets: '>=4.3.1' - widgetsnbextension: '>=4.0.7,<4.1.0' - url: https://conda.anaconda.org/conda-forge/noarch/ipywidgets-8.1.0-pyhd8ed1ab_0.conda + widgetsnbextension: '>=4.0.9,<4.1.0' + url: https://conda.anaconda.org/conda-forge/noarch/ipywidgets-8.1.1-pyhd8ed1ab_0.conda hash: - md5: 6fe1e9c8e93261e978998c0e90e36275 - sha256: 71f920b0b89eb177511ff2d8bd9904c9c6c96d731f90ec97168cc28bc86ed623 + md5: 2605fae5ee27100e5f10037baebf4d41 + sha256: 8136defec115396ba992273a77f814d74eeafd9cc099f5430d109c60785a7f02 category: main optional: false - name: jupyterhub-base @@ -8909,24 +8909,24 @@ package: category: main optional: false - name: dask - version: 2023.9.1 + version: 2023.9.2 manager: conda platform: linux-64 dependencies: bokeh: '>=2.4.2,!=3.0.*' cytoolz: '>=0.11.0' - dask-core: '>=2023.9.1,<2023.9.2.0a0' - distributed: 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https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.6-pyhd8ed1ab_0.conda hash: - md5: fce8108e7dfb3622873a85e495a72dda - sha256: fc4409ff093eedb602231d2d7848e20d0f7dab1b01a05a42c06de44ba4f0c62d + md5: 80bb1cc3b540790cb5afecd73c2d4d1f + sha256: 5eb157e0ec794c0d4b100e9b11efefcc8d8b50b6c298539df31ab79ff9fbe446 category: main optional: false - name: nbdime @@ -9947,17 +9947,17 @@ package: category: main optional: false - name: pangeo-dask - version: 2023.09.11 + version: 2023.09.17 manager: conda platform: linux-64 dependencies: - dask: 2023.9.1.* + dask: 2023.9.2.* dask-gateway: 2023.1.1.* - distributed: 2023.9.1.* - url: https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.09.11-hd8ed1ab_0.conda + distributed: 2023.9.2.* + url: https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.09.17-hd8ed1ab_0.conda hash: - md5: 3c9b999ef4bda85e87188d6f5b48c3f8 - sha256: 45fa5a7a777bb6c080aebbba6e37d6b7c3e86ee60f3c2dce85423a576297c172 + md5: 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b1ce6dba60c4db0611e6f54bb794e4bdf50633b2495d8ae36dd3b26533f5c77a category: main optional: false - name: tensorflow-datasets diff --git a/ml-notebook/packages.txt b/ml-notebook/packages.txt index dbcc3b24..d2301ec0 100644 --- a/ml-notebook/packages.txt +++ b/ml-notebook/packages.txt @@ -113,8 +113,8 @@ cudnn==8.8.0.121 cycler==0.11.0 cython==3.0.2 cytoolz==0.12.2 -dask==2023.9.1 -dask-core==2023.9.1 +dask==2023.9.2 +dask-core==2023.9.2 dask-gateway==2023.1.1 dask-glm==0.2.0 dask-labextension==7.0.0 @@ -127,7 +127,7 @@ decorator==5.1.1 defusedxml==0.7.1 descartes==1.1.0 dill==0.3.7 -distributed==2023.9.1 +distributed==2023.9.2 distro==1.8.0 dm-tree==0.1.8 docopt==0.6.2 @@ -249,7 +249,7 @@ ipyspin==1.0.1 ipython==8.15.0 ipytree==0.2.2 ipyurl==0.1.2 -ipywidgets==8.1.0 +ipywidgets==8.1.1 isodate==0.6.1 isoduration==20.11.0 jasper==4.0.0 @@ -280,7 +280,7 @@ jupyter_server_xarray_leaflet==0.2.3 jupyter_telemetry==0.1.0 jupyterhub-base==4.0.2 jupyterhub-singleuser==4.0.2 -jupyterlab==4.0.5 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https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.3.0-py311hc009520_0.conda#847797c4a9c0c3363ffcfe7571dedfee https://conda.anaconda.org/conda-forge/noarch/sparse-0.14.0-pyhd8ed1ab_0.conda#ee01b310177a0612554b9d20e537fdbe https://conda.anaconda.org/conda-forge/noarch/tifffile-2023.9.18-pyhd8ed1ab_0.conda#c24d705dfe38f0a7a5cfa51b40c3d906 @@ -518,7 +518,7 @@ https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.22.0-py311h320fe9a_0.c https://conda.anaconda.org/conda-forge/noarch/cf_xarray-0.8.4-pyhd8ed1ab_0.conda#18472f8f9452f962fe0bcb1b8134b494 https://conda.anaconda.org/conda-forge/noarch/cmocean-3.0.3-pyhd8ed1ab_0.conda#eec7df83d725696d32c7bf99aff21d82 https://conda.anaconda.org/conda-forge/noarch/descartes-1.1.0-py_4.tar.bz2#32fa3526c15250ccf353f1ce905f50b3 -https://conda.anaconda.org/conda-forge/noarch/distributed-2023.9.1-pyhd8ed1ab_0.conda#e3841f3799c666f8705a2aa6604af294 +https://conda.anaconda.org/conda-forge/noarch/distributed-2023.9.2-pyhd8ed1ab_0.conda#ddb4fd6105b4005b312625cef210ba67 https://conda.anaconda.org/conda-forge/noarch/esmpy-8.4.2-pyhc1e730c_4.conda#ddcf387719b2e44df0cc4dd467643951 https://conda.anaconda.org/conda-forge/linux-64/fiona-1.9.4-py311hbac4ec9_0.conda#1d3445f5f7fa002a1c149c405376f012 https://conda.anaconda.org/conda-forge/linux-64/graphviz-8.1.0-h28d9a01_0.conda#33628e0e3de7afd2c8172f76439894cb @@ -554,7 +554,7 @@ https://conda.anaconda.org/conda-forge/noarch/folium-0.14.0-pyhd8ed1ab_0.conda#4 https://conda.anaconda.org/conda-forge/noarch/gh-scoped-creds-4.1-pyhd8ed1ab_0.tar.bz2#726906d636cc2e711d79abd236ce441f https://conda.anaconda.org/conda-forge/noarch/google-auth-2.23.0-pyh1a96a4e_1.conda#a54f49b4f241c744ddcce7ad15ff5657 https://conda.anaconda.org/conda-forge/noarch/ipykernel-6.25.2-pyh2140261_0.conda#226f2032ec491cc6e9ce66072660e4f6 -https://conda.anaconda.org/conda-forge/noarch/ipywidgets-8.1.0-pyhd8ed1ab_0.conda#6fe1e9c8e93261e978998c0e90e36275 +https://conda.anaconda.org/conda-forge/noarch/ipywidgets-8.1.1-pyhd8ed1ab_0.conda#2605fae5ee27100e5f10037baebf4d41 https://conda.anaconda.org/conda-forge/noarch/jupyterhub-base-4.0.2-pyh31011fe_0.conda#a6c7fb7557d5e31d0c2efc0351e6751d https://conda.anaconda.org/conda-forge/noarch/msal-1.24.0-pyhd8ed1ab_0.conda#4ef163e39aa0696df9b169d3870d9c5d https://conda.anaconda.org/conda-forge/noarch/nbconvert-core-7.8.0-pyhd8ed1ab_0.conda#62345c9e24f898bf492979be84a6eb0a @@ -580,7 +580,7 @@ https://conda.anaconda.org/conda-forge/noarch/azure-datalake-store-0.0.51-pyh9f0 https://conda.anaconda.org/conda-forge/noarch/azure-storage-blob-12.18.1-pyhd8ed1ab_0.conda#a0cb81bccb5f82b8951d3fba01bc1fc5 https://conda.anaconda.org/conda-forge/noarch/boto3-1.28.17-pyhd8ed1ab_0.conda#56024afda15a361ec88b07e99205726e https://conda.anaconda.org/conda-forge/noarch/colorcet-3.0.1-pyhd8ed1ab_0.tar.bz2#1e424f22b3e2713068fe12d57f2dec5b -https://conda.anaconda.org/conda-forge/noarch/dask-2023.9.1-pyhd8ed1ab_0.conda#7192f8f126e50d6d0274fbbf4e73e9cf +https://conda.anaconda.org/conda-forge/noarch/dask-2023.9.2-pyhd8ed1ab_0.conda#29e33df59c9eac1a599b9cd18d54b4d3 https://conda.anaconda.org/conda-forge/noarch/geopandas-0.14.0-pyhd8ed1ab_0.conda#c95d2e337213d778d0247073aaaa45b2 https://conda.anaconda.org/conda-forge/noarch/google-api-core-2.11.1-pyhd8ed1ab_0.conda#4c8af2e873e7253fa6f66d52fc60808a https://conda.anaconda.org/conda-forge/noarch/google-auth-oauthlib-1.1.0-pyhd8ed1ab_0.conda#ffa1e2fd52bc00ec0fc5680a2f4bd167 @@ -631,9 +631,9 @@ 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-4.0.5-pyhd8ed1ab_0.conda#fce8108e7dfb3622873a85e495a72dda +https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.6-pyhd8ed1ab_0.conda#80bb1cc3b540790cb5afecd73c2d4d1f https://conda.anaconda.org/conda-forge/noarch/nbdime-3.2.1-pyhd8ed1ab_0.conda#7b6c7f9f427dd668fd1ef4c6b3454528 -https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.09.11-hd8ed1ab_0.conda#3c9b999ef4bda85e87188d6f5b48c3f8 +https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.09.17-hd8ed1ab_0.conda#c4f081e4d9eb719894377d7cd0925c73 https://conda.anaconda.org/conda-forge/noarch/satpy-0.43.0-pyhd8ed1ab_0.conda#3b939794cb2dd06ce13bd7700cbd8ae7 https://conda.anaconda.org/conda-forge/noarch/xarray-spatial-0.3.5-pyhd8ed1ab_0.tar.bz2#fad1ba75fd7013c74263fa59d6bfb01f https://conda.anaconda.org/conda-forge/noarch/xarray_leaflet-0.2.3-pyhd8ed1ab_0.conda#14ac9ee6946c1e1bf0489235066151a0 @@ -645,4 +645,4 @@ https://conda.anaconda.org/conda-forge/noarch/jupyterhub-singleuser-4.0.2-pyh310 https://conda.anaconda.org/conda-forge/noarch/jupyterlab-git-0.41.0-pyhd8ed1ab_1.conda#5985549f77be4aae95bfd9e1a7916144 https://conda.anaconda.org/conda-forge/noarch/notebook-7.0.3-pyhd8ed1ab_0.conda#1f2d368cde97926b5e351d1a0286bb1e https://conda.anaconda.org/conda-forge/noarch/nbgitpuller-1.2.0-pyhd8ed1ab_0.conda#e74db5ccfcf794e3d67ec7c9c125a39a -https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.09.12-hd8ed1ab_0.conda#de9c4e3ab9db9274126dbed7cbfecfb9 +https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.09.18-hd8ed1ab_0.conda#666c18687e7579688f57665ecfb8402f diff --git a/pangeo-notebook/conda-lock.yml b/pangeo-notebook/conda-lock.yml index e0a9a7b4..6133ecbb 100644 --- a/pangeo-notebook/conda-lock.yml +++ b/pangeo-notebook/conda-lock.yml @@ -13,7 +13,7 @@ version: 1 metadata: content_hash: - linux-64: 4a9579ba4673afbe48a6e2506976ae4a2695dff6cc9c1553613f69454ef27bc3 + linux-64: dfb07414e4c2eee1954a1b0cc0460d34fde3037923a37ba0853f21258f0c9680 channels: - url: conda-forge used_env_vars: [] @@ -204,10 +204,10 @@ package: manager: conda platform: linux-64 dependencies: {} - url: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.11-3_cp311.conda + url: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.11-4_cp311.conda hash: - md5: c2e2630ddb68cf52eec74dc7dfab20b5 - sha256: 2966a87dcb0b11fad28f9fe8216bfa4071115776b47ffc7547492fed176e1a1f + md5: d786502c97404c94d7d58d258a445a65 + sha256: 0be3ac1bf852d64f553220c7e6457e9c047dfb7412da9d22fbaa67e60858b3cf category: main optional: false - name: tzdata @@ -5958,7 +5958,7 @@ package: category: main optional: false - name: dask-core - version: 2023.9.1 + version: 2023.9.2 manager: conda platform: linux-64 dependencies: @@ -5971,10 +5971,10 @@ package: python: '>=3.9' pyyaml: '>=5.3.1' toolz: '>=0.10.0' - url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.9.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.9.2-pyhd8ed1ab_0.conda hash: - md5: e420da4262d61ab10156219edbabb54b - sha256: a398ddfc8664c00a55481bec61406ab677e1910724343c708fff73859f8317df + md5: cce7eeb7eda0124af186a5e9ce9b0fca + sha256: b43c994185ca4a7c694ea519ae8a2df40dea6eb92ebc91d1018fed245f3cf693 category: main optional: false - name: datashape @@ -7150,7 +7150,7 @@ package: click-plugins: '' cligj: '>=0.5' libgcc-ng: '>=12' - libgdal: '>=3.7.0,<3.8.0a0' + libgdal: '>=3.7.2,<3.8.0a0' libstdcxx-ng: '>=12' numpy: '>=1.23.5,<2.0a0' proj: '>=9.2.1,<9.2.2.0a0' @@ -7158,10 +7158,10 @@ package: python_abi: 3.11.* setuptools: '>=0.9.8' snuggs: '>=1.4.1' - url: https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.3.8-py311h41e4db2_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/rasterio-1.3.8-py311h41e4db2_1.conda hash: - md5: b35deb26af1d7e0d98438c8ac5c6b7b2 - sha256: e552679f22383f544805369eabf0021c63f53a993394625822f3d2bbcca0050b + md5: 573637dc0f2d3029bfe192a47d35a0f4 + sha256: 15b450a28eac244d5976b5904088900a19eedcf79137ed47893d6ae90c15cfb1 category: main optional: false - name: scikit-learn @@ -7401,14 +7401,14 @@ package: category: main optional: false - name: distributed - version: 2023.9.1 + version: 2023.9.2 manager: conda platform: linux-64 dependencies: click: '>=8.0' cloudpickle: '>=1.5.0' cytoolz: '>=0.10.1' - dask-core: '>=2023.9.1,<2023.9.2.0a0' + dask-core: '>=2023.9.2,<2023.9.3.0a0' jinja2: '>=2.10.3' locket: '>=1.0.0' msgpack-python: '>=1.0.0' @@ -7422,10 +7422,10 @@ package: tornado: '>=6.0.4' urllib3: '>=1.24.3' zict: '>=3.0.0' - url: https://conda.anaconda.org/conda-forge/noarch/distributed-2023.9.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/distributed-2023.9.2-pyhd8ed1ab_0.conda hash: - md5: e3841f3799c666f8705a2aa6604af294 - sha256: 9ddfd2d9d9108ca7bf70c463d602ed786e8880ea8941767c682febc5fcc3a083 + md5: ddb4fd6105b4005b312625cef210ba67 + sha256: eadadb8513189df407805ef7479f18d22bcc297f00a7d96ec1402628b40e6a69 category: main optional: false - name: esmpy @@ -8080,20 +8080,20 @@ package: category: main optional: false - name: ipywidgets - version: 8.1.0 + version: 8.1.1 manager: conda platform: linux-64 dependencies: comm: '>=0.1.3' ipython: '>=6.1.0' - jupyterlab_widgets: '>=3.0.7,<3.1.0' + jupyterlab_widgets: '>=3.0.9,<3.1.0' python: '>=3.7' traitlets: '>=4.3.1' - widgetsnbextension: '>=4.0.7,<4.1.0' - url: https://conda.anaconda.org/conda-forge/noarch/ipywidgets-8.1.0-pyhd8ed1ab_0.conda + widgetsnbextension: '>=4.0.9,<4.1.0' + url: 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manager: conda platform: linux-64 dependencies: dask-labextension: 7.0.0.* - ipywidgets: 8.1.0.* + ipywidgets: 8.1.1.* jupyter-server-proxy: 4.0.0.* jupyterhub-singleuser: 4.0.2.* - jupyterlab: 4.0.5.* + jupyterlab: 4.0.6.* nbgitpuller: 1.2.0.* - pangeo-dask: 2023.09.11.* - url: https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.09.12-hd8ed1ab_0.conda + pangeo-dask: 2023.09.17.* + url: https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.09.18-hd8ed1ab_0.conda hash: - md5: de9c4e3ab9db9274126dbed7cbfecfb9 - sha256: 0ad9b3fb4418c527fe66b87f771f40ef70fad1f10d0bedef68e7224c0a116486 + md5: 666c18687e7579688f57665ecfb8402f + sha256: b1ce6dba60c4db0611e6f54bb794e4bdf50633b2495d8ae36dd3b26533f5c77a category: main optional: false diff --git a/pangeo-notebook/packages.txt b/pangeo-notebook/packages.txt index 086fb0f7..d6fabe1e 100644 --- a/pangeo-notebook/packages.txt +++ b/pangeo-notebook/packages.txt @@ -109,8 +109,8 @@ cuda-version==11.8 cycler==0.11.0 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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_0.conda#db5b3b0093d0d4565e5c89578108402e -https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.9.1-pyhd8ed1ab_0.conda#e420da4262d61ab10156219edbabb54b +https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.9.2-pyhd8ed1ab_0.conda#cce7eeb7eda0124af186a5e9ce9b0fca 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/google-resumable-media-2.6.0-pyhd8ed1ab_0.conda#74fd9d08866e60fc412abc8dd7c5486c @@ -561,7 +561,7 @@ https://conda.anaconda.org/conda-forge/noarch/properscoring-0.1-py_0.tar.bz2#6c2 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https://conda.anaconda.org/conda-forge/noarch/nbgitpuller-1.2.0-pyhd8ed1ab_0.conda#e74db5ccfcf794e3d67ec7c9c125a39a https://conda.anaconda.org/conda-forge/noarch/torchgeo-0.4.1-pyhd8ed1ab_0.conda#61ee2d8b63497d5c8d28aa4d0666cc6a -https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.09.12-hd8ed1ab_0.conda#de9c4e3ab9db9274126dbed7cbfecfb9 +https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2023.09.18-hd8ed1ab_0.conda#666c18687e7579688f57665ecfb8402f diff --git a/pytorch-notebook/conda-lock.yml b/pytorch-notebook/conda-lock.yml index 4812a39b..97b43ba6 100644 --- a/pytorch-notebook/conda-lock.yml +++ b/pytorch-notebook/conda-lock.yml @@ -13,7 +13,7 @@ version: 1 metadata: content_hash: - linux-64: 752c18743f7a3ea0e9b77c0bf45515aca585fa55df683198236dd02fee2d09ab + linux-64: fa25cd5ef788e721486c0111d204c389017d044446b314f39521e41d6f69e69e channels: - url: conda-forge used_env_vars: [] @@ -205,10 +205,10 @@ package: manager: conda platform: linux-64 dependencies: {} - url: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.11-3_cp311.conda + url: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.11-4_cp311.conda hash: - md5: c2e2630ddb68cf52eec74dc7dfab20b5 - sha256: 2966a87dcb0b11fad28f9fe8216bfa4071115776b47ffc7547492fed176e1a1f + md5: d786502c97404c94d7d58d258a445a65 + sha256: 0be3ac1bf852d64f553220c7e6457e9c047dfb7412da9d22fbaa67e60858b3cf category: main optional: false - name: tzdata @@ -6608,7 +6608,7 @@ package: category: main optional: false - name: dask-core - version: 2023.9.1 + version: 2023.9.2 manager: conda platform: linux-64 dependencies: @@ -6621,10 +6621,10 @@ package: python: '>=3.9' pyyaml: '>=5.3.1' toolz: '>=0.10.0' - url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.9.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.9.2-pyhd8ed1ab_0.conda hash: - md5: e420da4262d61ab10156219edbabb54b - sha256: 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scikit-learn @@ -8164,14 +8164,14 @@ package: category: main optional: false - name: distributed - version: 2023.9.1 + version: 2023.9.2 manager: conda platform: linux-64 dependencies: click: '>=8.0' cloudpickle: '>=1.5.0' cytoolz: '>=0.10.1' - dask-core: '>=2023.9.1,<2023.9.2.0a0' + dask-core: '>=2023.9.2,<2023.9.3.0a0' jinja2: '>=2.10.3' locket: '>=1.0.0' msgpack-python: '>=1.0.0' @@ -8185,10 +8185,10 @@ package: tornado: '>=6.0.4' urllib3: '>=1.24.3' zict: '>=3.0.0' - url: https://conda.anaconda.org/conda-forge/noarch/distributed-2023.9.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/distributed-2023.9.2-pyhd8ed1ab_0.conda hash: - md5: e3841f3799c666f8705a2aa6604af294 - sha256: 9ddfd2d9d9108ca7bf70c463d602ed786e8880ea8941767c682febc5fcc3a083 + md5: ddb4fd6105b4005b312625cef210ba67 + sha256: eadadb8513189df407805ef7479f18d22bcc297f00a7d96ec1402628b40e6a69 category: main optional: false - name: dulwich @@ -8941,20 +8941,20 @@ package: category: main optional: false - name: ipywidgets - version: 8.1.0 + version: 8.1.1 manager: conda platform: linux-64 dependencies: comm: '>=0.1.3' ipython: '>=6.1.0' - jupyterlab_widgets: '>=3.0.7,<3.1.0' + jupyterlab_widgets: '>=3.0.9,<3.1.0' python: '>=3.7' traitlets: '>=4.3.1' - widgetsnbextension: '>=4.0.7,<4.1.0' - url: https://conda.anaconda.org/conda-forge/noarch/ipywidgets-8.1.0-pyhd8ed1ab_0.conda + widgetsnbextension: '>=4.0.9,<4.1.0' + url: https://conda.anaconda.org/conda-forge/noarch/ipywidgets-8.1.1-pyhd8ed1ab_0.conda hash: - md5: 6fe1e9c8e93261e978998c0e90e36275 - sha256: 71f920b0b89eb177511ff2d8bd9904c9c6c96d731f90ec97168cc28bc86ed623 + md5: 2605fae5ee27100e5f10037baebf4d41 + sha256: 8136defec115396ba992273a77f814d74eeafd9cc099f5430d109c60785a7f02 category: main optional: false - name: jupyterhub-base @@ -9498,24 +9498,24 @@ package: category: main optional: false - name: dask - version: 2023.9.1 + version: 2023.9.2 manager: conda platform: linux-64 dependencies: bokeh: '>=2.4.2,!=3.0.*' cytoolz: '>=0.11.0' - dask-core: '>=2023.9.1,<2023.9.2.0a0' - distributed: '>=2023.9.1,<2023.9.2.0a0' + dask-core: '>=2023.9.2,<2023.9.3.0a0' + distributed: '>=2023.9.2,<2023.9.3.0a0' 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-2023.9.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/dask-2023.9.2-pyhd8ed1ab_0.conda hash: - md5: 7192f8f126e50d6d0274fbbf4e73e9cf - sha256: 41fee1aff71d2c30db63797447b8b72ef4f6d82760f7b41e26d16d8bdb2ac6f5 + md5: 29e33df59c9eac1a599b9cd18d54b4d3 + sha256: c9b227463dec8e8583df9fd279453ceeec08368d74ab50502a78f941aa9675f2 category: main optional: false - name: geopandas @@ -10557,7 +10557,7 @@ package: category: main optional: false - name: jupyterlab - version: 4.0.5 + version: 4.0.6 manager: conda platform: linux-64 dependencies: @@ -10576,10 +10576,10 @@ package: tomli: '' tornado: '>=6.2.0' traitlets: '' - url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.5-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.0.6-pyhd8ed1ab_0.conda hash: - md5: fce8108e7dfb3622873a85e495a72dda - sha256: fc4409ff093eedb602231d2d7848e20d0f7dab1b01a05a42c06de44ba4f0c62d + md5: 80bb1cc3b540790cb5afecd73c2d4d1f + sha256: 5eb157e0ec794c0d4b100e9b11efefcc8d8b50b6c298539df31ab79ff9fbe446 category: main optional: false - name: nbdime @@ -10604,17 +10604,17 @@ package: category: main optional: false - name: pangeo-dask - version: 2023.09.11 + version: 2023.09.17 manager: conda platform: linux-64 dependencies: - dask: 2023.9.1.* + dask: 2023.9.2.* dask-gateway: 2023.1.1.* - distributed: 2023.9.1.* - url: https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.09.11-hd8ed1ab_0.conda + distributed: 2023.9.2.* + url: https://conda.anaconda.org/conda-forge/noarch/pangeo-dask-2023.09.17-hd8ed1ab_0.conda hash: - md5: 3c9b999ef4bda85e87188d6f5b48c3f8 - sha256: 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