From 91e623827d60ed230d9bc6b103f7af3dc2296a75 Mon Sep 17 00:00:00 2001 From: pangeo-bot Date: Fri, 24 May 2024 01:09:44 +0000 Subject: [PATCH] [condalock-command] autogenerated conda-lock files --- base-notebook/conda-linux-64.lock | 50 +++--- base-notebook/conda-lock.yml | 192 ++++++++++----------- base-notebook/packages.txt | 14 +- ml-notebook/conda-linux-64.lock | 24 +-- ml-notebook/conda-lock.yml | 88 +++++----- ml-notebook/packages.txt | 16 +- pangeo-notebook/conda-linux-64.lock | 24 +-- pangeo-notebook/conda-lock.yml | 88 +++++----- pangeo-notebook/packages.txt | 16 +- pytorch-notebook/conda-linux-64.lock | 64 +++---- pytorch-notebook/conda-lock.yml | 248 +++++++++++++-------------- pytorch-notebook/packages.txt | 22 +-- 12 files changed, 423 insertions(+), 423 deletions(-) diff --git a/base-notebook/conda-linux-64.lock b/base-notebook/conda-linux-64.lock index 780c4191..9dfb23d0 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: 6d35a2d2c905b86406e725b58ff085d62796851bb412b3bbce53b0d928bf7e5b +# input_hash: ffb09b6352e1142138512c9649f7be8c2c3ca184549d91f72dd3d9496392310e @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-2024.2.2-hbcca054_0.conda#2f4327a1cbe7f022401b236e915a5fef @@ -11,7 +11,7 @@ https://conda.anaconda.org/conda-forge/noarch/tzdata-2024a-h0c530f3_0.conda#1610 https://conda.anaconda.org/conda-forge/linux-64/libgomp-13.2.0-h77fa898_7.conda#abf3fec87c2563697defa759dec3d639 https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2#73aaf86a425cc6e73fcf236a5a46396d https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h77fa898_7.conda#72ec1b1b04c4d15d4204ece1ecea5978 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b/base-notebook/conda-lock.yml index 41eb150b..18de8410 100644 --- a/base-notebook/conda-lock.yml +++ b/base-notebook/conda-lock.yml @@ -13,7 +13,7 @@ version: 1 metadata: content_hash: - linux-64: 6d35a2d2c905b86406e725b58ff085d62796851bb412b3bbce53b0d928bf7e5b + linux-64: ffb09b6352e1142138512c9649f7be8c2c3ca184549d91f72dd3d9496392310e channels: - url: conda-forge used_env_vars: [] @@ -210,15 +210,15 @@ package: platform: linux-64 dependencies: aws-c-cal: '>=0.6.14,<0.6.15.0a0' - aws-c-common: '>=0.9.18,<0.9.19.0a0' + aws-c-common: '>=0.9.19,<0.9.20.0a0' aws-c-http: '>=0.8.1,<0.8.2.0a0' aws-c-io: '>=0.14.8,<0.14.9.0a0' aws-c-sdkutils: '>=0.1.16,<0.1.17.0a0' libgcc-ng: '>=12' - url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-auth-0.7.22-h3af4cf7_1.conda + url: https://conda.anaconda.org/conda-forge/linux-64/aws-c-auth-0.7.22-h96bc93b_2.conda hash: - md5: 7ca557e57e221e8fc4a57eabe4c25a00 - sha256: a2d8ff72ae08813d0e4a0f097076d70ce4735b8cfdf0efcbcde38509a8285cbf + md5: 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@@ -1512,10 +1512,10 @@ package: tomli: '>=1.2.2' tornado: '>=6.2.0' traitlets: '' - url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.0-pyhd8ed1ab_1.conda + url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.1-pyhd8ed1ab_0.conda hash: - md5: 49af95b55515a65d14f6ea82422c321d - sha256: 0d0b14a5fc77ad76cd34191b888c8a5ce6060e553ed4d413bd2a2cd6651196ba + md5: 3e7290af6190b29c7017d6a8fb0eaeea + sha256: 507f87a6449a7d5d23ad24fcba41aed150770df18ae877a4fdf9da78039f1682 category: main optional: false - name: jupyterlab_pygments @@ -1532,7 +1532,7 @@ package: category: main optional: false - name: jupyterlab_server - version: 2.27.1 + version: 2.27.2 manager: conda platform: linux-64 dependencies: @@ -1545,10 +1545,10 @@ package: packaging: '>=21.3' python: '>=3.8' requests: '>=2.31' - url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.2-pyhd8ed1ab_0.conda hash: - md5: d97923b777ce837cf67e7858ac600834 - sha256: 64d7713782482a28fedd590537ff8edd737a2c736c8384366fb20a83273d233c + md5: d1cb7b113daaadd89e5aa6a32b28bf0d + sha256: d4b9f9f46b3c494d678b4f003d7a2f7ac834dba641bd02332079dde5a9a85c98 category: main optional: false - name: jupyterlab_widgets @@ -1647,7 +1647,7 @@ package: manager: conda platform: linux-64 dependencies: - aws-crt-cpp: '>=0.26.8,<0.26.9.0a0' + aws-crt-cpp: '>=0.26.9,<0.26.10.0a0' aws-sdk-cpp: '>=1.11.329,<1.11.330.0a0' bzip2: '>=1.0.8,<2.0a0' gflags: '>=2.2.2,<2.3.0a0' @@ -1667,10 +1667,10 @@ package: re2: '' snappy: '>=1.2.0,<1.3.0a0' zstd: '>=1.5.6,<1.6.0a0' - url: https://conda.anaconda.org/conda-forge/linux-64/libarrow-16.1.0-h06228bf_5_cpu.conda + url: https://conda.anaconda.org/conda-forge/linux-64/libarrow-16.1.0-hcb6531f_6_cpu.conda hash: - md5: 41d6a3fc27669d7ddfe37989c17e0e79 - sha256: 0ec5eb1fe6a215b53a0a118579975089de99a88117294a0adf1e1458e957fe68 + md5: 0df3fc2a8d63b1cc49973c5a679ec438 + sha256: dd7b8592fc724185e34023769705f573a02f24ed9bdbe4a28bd88182de06b327 category: main optional: false - name: libarrow-acero @@ -1681,10 +1681,10 @@ package: libarrow: 16.1.0 libgcc-ng: '>=12' libstdcxx-ng: '>=12' - url: https://conda.anaconda.org/conda-forge/linux-64/libarrow-acero-16.1.0-hac33072_5_cpu.conda + url: https://conda.anaconda.org/conda-forge/linux-64/libarrow-acero-16.1.0-hac33072_6_cpu.conda hash: - md5: 85a2b8bfe68dfb2c02f3a783a85e565f - sha256: 2c731a5c5c075246fc13174632e80b82ad8d5fc42a736c1687c07f0c87ee2eb9 + md5: 38b1161e2f8c72095f64ea35ee1294c5 + sha256: 02472150aacfde1ffd947b82211495d1b34c9fe542e97727dd6262afb1330967 category: main optional: false - name: libarrow-dataset @@ -1697,10 +1697,10 @@ package: libgcc-ng: '>=12' libparquet: 16.1.0 libstdcxx-ng: '>=12' - url: https://conda.anaconda.org/conda-forge/linux-64/libarrow-dataset-16.1.0-hac33072_5_cpu.conda + url: https://conda.anaconda.org/conda-forge/linux-64/libarrow-dataset-16.1.0-hac33072_6_cpu.conda hash: - md5: fce2888ed78c9f0bce3039d01c1213be - sha256: 06f9f12f9eb7ca6e0474feac0a101cfa3d61f5fef7bb66750a75d8d0f131ae95 + md5: 2e9430df8ffd645a5bc7edffb252c3de + sha256: 306f1fd0f6904d211229f4c3cc9b6f9a3bb166f4cdc982b05245109d3bb16952 category: main optional: false - name: libarrow-substrait @@ -1715,10 +1715,10 @@ package: libgcc-ng: '>=12' libprotobuf: '>=4.25.3,<4.25.4.0a0' libstdcxx-ng: '>=12' - url: https://conda.anaconda.org/conda-forge/linux-64/libarrow-substrait-16.1.0-h7e0c224_5_cpu.conda + url: https://conda.anaconda.org/conda-forge/linux-64/libarrow-substrait-16.1.0-h7e0c224_6_cpu.conda hash: - md5: 0deb3b8232b09f3f08aa6f1aa1ac4f83 - sha256: c72be61c1e7acecc87c9a45275e0f89667126af7ed42f9f818314577e9c08deb + md5: 81fea801c4bb126509e784cbd2ca4d17 + sha256: 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sha256: e56d9121f553f16ef21d2664c569cd50336291fa1458be5e5c654553a43737e7 + md5: 12ea6d0d4ed54530eaed18e4835c1f7c + sha256: 33dcea0ed3a61b2de6b66661cdd55278640eb99d676cd129fbff3e53641fa125 category: main optional: false - name: orc @@ -2694,7 +2694,7 @@ package: category: main optional: false - name: pangeo-notebook - version: 2024.05.20 + version: 2024.05.23 manager: conda platform: linux-64 dependencies: @@ -2702,13 +2702,13 @@ package: ipywidgets: 8.1.2.* jupyter-server-proxy: 4.1.2.* jupyterhub-singleuser: 4.1.5.* - jupyterlab: 4.2.0.* + jupyterlab: 4.2.1.* nbgitpuller: 1.2.1.* pangeo-dask: 2024.5.20.* - url: https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2024.05.20-hd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2024.05.23-hd8ed1ab_0.conda hash: - md5: 1a395ce4ea99dd0709f6a32ea96a1787 - sha256: 72ee7aed3eb99e116888eef43124143b609c5273194be72762a4de8be14862ff + md5: 1df21a2aee7c2cf67ea2c9586b1f3dd0 + sha256: 18ef6a07fc90b13950f6cd82aea1d06e7d5545c058a4a08c9ecb3970202db422 category: main optional: false - name: parso @@ -3266,16 +3266,16 @@ package: category: main optional: false - name: s2n - version: 1.4.14 + version: 1.4.15 manager: conda platform: linux-64 dependencies: libgcc-ng: '>=12' openssl: '>=3.3.0,<4.0a0' - url: https://conda.anaconda.org/conda-forge/linux-64/s2n-1.4.14-he19d79f_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/s2n-1.4.15-he19d79f_0.conda hash: - md5: e54e01ff67380eb6572fe2722e878cba - sha256: 243bb864f8d08347296599cae32e77067ccbdb81ab0fc12f00aafe69fce0b29b + md5: 4c7cc3fa1d2c5a63f9e2b1e2980a1672 + sha256: e19fb5bfef25ebfcdb56c87f4c9f2b4e04933ae227f0803443e1539f7f59722a category: main optional: false - name: send2trash diff --git a/base-notebook/packages.txt b/base-notebook/packages.txt index 90c0fe0f..33a80333 100644 --- a/base-notebook/packages.txt +++ b/base-notebook/packages.txt @@ -15,7 +15,7 @@ async_generator==1.10 attrs==23.2.0 aws-c-auth==0.7.22 aws-c-cal==0.6.14 -aws-c-common==0.9.18 +aws-c-common==0.9.19 aws-c-compression==0.2.18 aws-c-event-stream==0.4.2 aws-c-http==0.8.1 @@ -24,7 +24,7 @@ aws-c-mqtt==0.10.4 aws-c-s3==0.5.9 aws-c-sdkutils==0.1.16 aws-checksums==0.1.18 -aws-crt-cpp==0.26.8 +aws-crt-cpp==0.26.9 aws-sdk-cpp==1.11.329 babel==2.14.0 beautifulsoup4==4.12.3 @@ -89,7 +89,7 @@ jsonschema-specifications==2023.12.1 jsonschema-with-format-nongpl==4.22.0 jupyter-lsp==2.2.5 jupyter-server-proxy==4.1.2 -jupyter_client==8.6.1 +jupyter_client==8.6.2 jupyter_core==5.7.2 jupyter_events==0.10.0 jupyter_server==2.14.0 @@ -97,9 +97,9 @@ jupyter_server_terminals==0.5.3 jupyter_telemetry==0.1.0 jupyterhub-base==4.1.5 jupyterhub-singleuser==4.1.5 -jupyterlab==4.2.0 +jupyterlab==4.2.1 jupyterlab_pygments==0.3.0 -jupyterlab_server==2.27.1 +jupyterlab_server==2.27.2 jupyterlab_widgets==3.0.10 keyutils==1.6.1 krb5==1.21.2 @@ -180,7 +180,7 @@ pamela==1.1.0 pandas==2.2.2 pandocfilters==1.5.0 pangeo-dask==2024.05.20 -pangeo-notebook==2024.05.20 +pangeo-notebook==2024.05.23 parso==0.8.4 partd==1.4.2 pexpect==4.9.0 @@ -221,7 +221,7 @@ rfc3986-validator==0.1.1 rpds-py==0.18.1 ruamel.yaml==0.18.6 ruamel.yaml.clib==0.2.8 -s2n==1.4.14 +s2n==1.4.15 send2trash==1.8.3 setuptools==70.0.0 simpervisor==1.0.0 diff --git a/ml-notebook/conda-linux-64.lock b/ml-notebook/conda-linux-64.lock index d2397c4c..b24fe900 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: 7094b983a3c0d5f30bfd9c4742cff0319d01720a460952bc5cc34115f09376d3 +# input_hash: 65ed0d1898e72eb0fa9be5ad4276ad6d87159f7ee50390211c724e887b8c0b86 @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 @@ -98,7 +98,7 @@ 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@@ https://conda.anaconda.org/conda-forge/noarch/comm-0.2.2-pyhd8ed1ab_0.conda#948d https://conda.anaconda.org/conda-forge/noarch/configobj-5.0.8-pyhd8ed1ab_0.conda#04c71f400324538d4396407ea2ffb34f https://conda.anaconda.org/conda-forge/linux-64/cytoolz-0.12.3-py311h459d7ec_0.conda#13d385f635d7fbe9acc93600f67a6cb4 https://conda.anaconda.org/conda-forge/noarch/docrep-0.3.2-pyh44b312d_0.tar.bz2#235523955bc1bfb019d7ec8a2bb58f9a -https://conda.anaconda.org/conda-forge/noarch/donfig-0.8.1.post0-pyhd8ed1ab_0.conda#99618fa8b2109fc3bb51605ef93d1d60 +https://conda.anaconda.org/conda-forge/noarch/donfig-0.8.1.post1-pyhd8ed1ab_0.conda#8e4275fd4414d3f03cf5f19cb824bcd5 https://conda.anaconda.org/conda-forge/linux-64/fonttools-4.51.0-py311h459d7ec_0.conda#17e1997cc17c571d5ad27bd0159f616c https://conda.anaconda.org/conda-forge/linux-64/gdk-pixbuf-2.42.10-h829c605_5.conda#8fdb82e5d9694dd8e9ed9ac8fdf48a26 https://conda.anaconda.org/conda-forge/noarch/geopy-2.4.1-pyhd8ed1ab_1.conda#358c17429c97883b2cb9ab5f64bc161b @@ -427,7 +427,7 @@ https://conda.anaconda.org/conda-forge/noarch/overrides-7.7.0-pyhd8ed1ab_0.conda https://conda.anaconda.org/conda-forge/noarch/partd-1.4.2-pyhd8ed1ab_0.conda#0badf9c54e24cecfb0ad2f99d680c163 https://conda.anaconda.org/conda-forge/noarch/pexpect-4.9.0-pyhd8ed1ab_0.conda#629f3203c99b32e0988910c93e77f3b6 https://conda.anaconda.org/conda-forge/linux-64/pillow-10.3.0-py311h18e6fac_0.conda#6c520a9d36c9d7270988c7a6c360d6d4 -https://conda.anaconda.org/conda-forge/noarch/pint-0.23-pyhd8ed1ab_0.conda#d47f9170e3933e53368e0d447c16856f +https://conda.anaconda.org/conda-forge/noarch/pint-0.23-pyhd8ed1ab_1.conda#0cc14fb43fb03601471ca53934164522 https://conda.anaconda.org/conda-forge/noarch/pip-24.0-pyhd8ed1ab_0.conda#f586ac1e56c8638b64f9c8122a7b8a67 https://conda.anaconda.org/conda-forge/linux-64/postgresql-16.3-h8e811e2_0.conda#e4d52462da124ed3792472f95a36fc2a https://conda.anaconda.org/conda-forge/linux-64/proj-9.3.1-h1d62c97_0.conda#44ec51d0857d9be26158bb85caa74fdb @@ -547,7 +547,7 @@ https://conda.anaconda.org/conda-forge/noarch/isoduration-20.11.0-pyhd8ed1ab_0.t https://conda.anaconda.org/conda-forge/linux-64/jasper-4.2.4-h536e39c_0.conda#9518ab7016cf4564778aef08b6bd8792 https://conda.anaconda.org/conda-forge/noarch/jsonpickle-3.0.4-pyhd8ed1ab_0.conda#955b8830bcceeac96d54911667e4f508 https://conda.anaconda.org/conda-forge/noarch/jsonschema-4.22.0-pyhd8ed1ab_0.conda#b9661a4b1200d6bc7d8a4cdafdc91468 -https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.6.1-pyhd8ed1ab_0.conda#c03972cfce69ad913d520c652e5ed908 +https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.6.2-pyhd8ed1ab_0.conda#3cdbb2fa84490e5fd44c9f9806c0d292 https://conda.anaconda.org/conda-forge/noarch/kagglehub-0.2.5-pyhd8ed1ab_0.conda#7f964eca2c61315dfafbb6a14f44bc97 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used_env_vars: [] @@ -2182,16 +2182,16 @@ package: category: main optional: false - name: donfig - version: 0.8.1.post0 + version: 0.8.1.post1 manager: conda platform: linux-64 dependencies: python: '>=3.8' pyyaml: '' - url: https://conda.anaconda.org/conda-forge/noarch/donfig-0.8.1.post0-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/donfig-0.8.1.post1-pyhd8ed1ab_0.conda hash: - md5: 99618fa8b2109fc3bb51605ef93d1d60 - sha256: 4b66e359bc706b711359b8adafa19f79c85497797b13de85a20a6d937c50677f + md5: 8e4275fd4414d3f03cf5f19cb824bcd5 + sha256: 93185f9494e4461c852ca4ad19059acc6b34e7ebbb28bd01a6d4fcc99d7dc26c category: main optional: false - name: earthaccess @@ -4445,7 +4445,7 @@ package: category: main optional: false - name: jupyter_client - version: 8.6.1 + version: 8.6.2 manager: conda platform: linux-64 dependencies: @@ -4456,10 +4456,10 @@ package: pyzmq: '>=23.0' tornado: '>=6.2' traitlets: '>=5.3' - url: 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name: seaborn @@ -10447,17 +10447,17 @@ package: category: main optional: false - name: tifffile - version: 2024.5.10 + version: 2024.5.22 manager: conda platform: linux-64 dependencies: imagecodecs: '>=2023.8.12' numpy: '>=1.19.2' python: '>=3.9' - url: https://conda.anaconda.org/conda-forge/noarch/tifffile-2024.5.10-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/tifffile-2024.5.22-pyhd8ed1ab_0.conda hash: - md5: 125438a8b679e4c08ee8f244177216c9 - sha256: e64d5a4d49854ebc12469caa8c4138f959cb32f43a1541a358a6db4c406e8f9b + md5: 3930cabe8ca8c8594026fa8768cae75c + sha256: 9481c766e09829cc8c3ab99f6f8a2392988df53c1579ecb327e4933feede147d category: main optional: false - name: tiledb diff --git a/ml-notebook/packages.txt b/ml-notebook/packages.txt index e6c1911a..3de55af4 100644 --- a/ml-notebook/packages.txt +++ b/ml-notebook/packages.txt @@ -144,7 +144,7 @@ docopt==0.6.2 docrep==0.3.2 docstring-to-markdown==0.15 docutils==0.19 -donfig==0.8.1.post0 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https://conda.anaconda.org/conda-forge/linux-64/tiledb-2.20.0-h4386cac_0.conda#20101f907b5fab4089b034f827e01b91 https://conda.anaconda.org/conda-forge/linux-64/timezonefinder-6.4.1-py311h459d7ec_0.conda#af11220a372084316eec2d948ae06f1a https://conda.anaconda.org/conda-forge/noarch/typer-0.12.3-pyhd8ed1ab_0.conda#10efd02b22c39c0a46312ef7cb16d237 @@ -625,7 +625,7 @@ https://conda.anaconda.org/conda-forge/noarch/nbclient-0.10.0-pyhd8ed1ab_0.conda https://conda.anaconda.org/conda-forge/noarch/nbstripout-0.7.1-pyhd8ed1ab_0.conda#768adb906bdf1828ef38abde924996fd https://conda.anaconda.org/conda-forge/noarch/nc-time-axis-1.4.1-pyhd8ed1ab_0.tar.bz2#281b58948bf60a2582de9e548bcc5369 https://conda.anaconda.org/conda-forge/noarch/odc-geo-0.4.5-pyhd8ed1ab_0.conda#f35b936366e551c648c9380f8b3142e0 -https://conda.anaconda.org/conda-forge/noarch/panel-1.4.2-pyhd8ed1ab_0.conda#bc6d97dee2a5221de864dff61d6edb12 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c052a92372abac12259b6051dc0a84ac2be614ca2b18b9b62c0c97515145bccc + linux-64: 59fdcc866dff6b4734c4cc123fb9ccd0feab58c53a0c367c85b1a333a03086db channels: - url: conda-forge used_env_vars: [] @@ -1991,16 +1991,16 @@ package: category: main optional: false - name: donfig - version: 0.8.1.post0 + version: 0.8.1.post1 manager: conda platform: linux-64 dependencies: python: '>=3.8' pyyaml: '' - url: https://conda.anaconda.org/conda-forge/noarch/donfig-0.8.1.post0-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/donfig-0.8.1.post1-pyhd8ed1ab_0.conda hash: - md5: 99618fa8b2109fc3bb51605ef93d1d60 - sha256: 4b66e359bc706b711359b8adafa19f79c85497797b13de85a20a6d937c50677f + md5: 8e4275fd4414d3f03cf5f19cb824bcd5 + sha256: 93185f9494e4461c852ca4ad19059acc6b34e7ebbb28bd01a6d4fcc99d7dc26c category: main optional: false - name: earthaccess @@ -4142,7 +4142,7 @@ package: category: main optional: false - name: jupyter_client - version: 8.6.1 + version: 8.6.2 manager: conda platform: linux-64 dependencies: @@ -4153,10 +4153,10 @@ package: pyzmq: '>=23.0' tornado: '>=6.2' traitlets: '>=5.3' - url: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.6.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/jupyter_client-8.6.2-pyhd8ed1ab_0.conda hash: - md5: c03972cfce69ad913d520c652e5ed908 - sha256: c7d10d7941fd2e61480e49d3b2b21a530af4ae4b0d449a1746a72a38bacb63e2 + md5: 3cdbb2fa84490e5fd44c9f9806c0d292 + sha256: 634f065cdd1d0aacd4bb6848ebf240dcebc8578135d65f4ad4aa42b2276c4e0c category: main optional: false - name: jupyter_core @@ -4321,7 +4321,7 @@ package: category: main optional: false - name: jupyterlab - version: 4.2.0 + version: 4.2.1 manager: conda platform: linux-64 dependencies: @@ -4341,10 +4341,10 @@ package: tomli: '>=1.2.2' tornado: '>=6.2.0' traitlets: '' - url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.0-pyhd8ed1ab_1.conda + url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab-4.2.1-pyhd8ed1ab_0.conda hash: - md5: 49af95b55515a65d14f6ea82422c321d - sha256: 0d0b14a5fc77ad76cd34191b888c8a5ce6060e553ed4d413bd2a2cd6651196ba + md5: 3e7290af6190b29c7017d6a8fb0eaeea + sha256: 507f87a6449a7d5d23ad24fcba41aed150770df18ae877a4fdf9da78039f1682 category: main optional: false - name: jupyterlab-git @@ -4419,7 +4419,7 @@ package: category: main optional: false - name: jupyterlab_server - version: 2.27.1 + version: 2.27.2 manager: conda platform: linux-64 dependencies: @@ -4432,10 +4432,10 @@ package: packaging: '>=21.3' python: '>=3.8' requests: '>=2.31' - url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.1-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/jupyterlab_server-2.27.2-pyhd8ed1ab_0.conda hash: - md5: d97923b777ce837cf67e7858ac600834 - sha256: 64d7713782482a28fedd590537ff8edd737a2c736c8384366fb20a83273d233c + md5: d1cb7b113daaadd89e5aa6a32b28bf0d + sha256: d4b9f9f46b3c494d678b4f003d7a2f7ac834dba641bd02332079dde5a9a85c98 category: main optional: false - name: jupyterlab_widgets @@ -7187,10 +7187,10 @@ package: dependencies: ca-certificates: '' libgcc-ng: '>=12' - url: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.3.0-h4ab18f5_2.conda + url: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.3.0-h4ab18f5_3.conda hash: - md5: b8934d399b56d73e323403e183d009c5 - sha256: e56d9121f553f16ef21d2664c569cd50336291fa1458be5e5c654553a43737e7 + md5: 12ea6d0d4ed54530eaed18e4835c1f7c + sha256: 33dcea0ed3a61b2de6b66661cdd55278640eb99d676cd129fbff3e53641fa125 category: main optional: false - name: orc @@ -7308,7 +7308,7 @@ package: category: main optional: false - name: panel - version: 1.4.2 + version: 1.4.3 manager: conda platform: linux-64 dependencies: @@ -7319,16 +7319,16 @@ package: markdown-it-py: '' mdit-py-plugins: '' packaging: '' - param: '>=2.0.0,<3' + param: '>=2.1.0,<3' python: '>=3.9' pyviz_comms: '>=0.7.4' requests: '' tqdm: '>=4.48.0' typing_extensions: '' - url: https://conda.anaconda.org/conda-forge/noarch/panel-1.4.2-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/panel-1.4.3-pyhd8ed1ab_0.conda hash: - md5: bc6d97dee2a5221de864dff61d6edb12 - sha256: 6386b66d17c4c4aaf383a312d015f2c477d2330c6c4ed57afdd7c912052f5dcf + md5: 2318bb859e1d8b5a00685fb22d57fe86 + sha256: 9293c74fc74a9f28ff1e08ba277caa3c2160e6f87cef863cb32f1c7d9d9fc151 category: main optional: false - name: pangeo-dask @@ -7346,7 +7346,7 @@ package: category: main optional: false - name: pangeo-notebook - version: 2024.05.20 + version: 2024.05.23 manager: conda platform: linux-64 dependencies: @@ -7354,13 +7354,13 @@ package: ipywidgets: 8.1.2.* jupyter-server-proxy: 4.1.2.* jupyterhub-singleuser: 4.1.5.* - jupyterlab: 4.2.0.* + jupyterlab: 4.2.1.* nbgitpuller: 1.2.1.* pangeo-dask: 2024.5.20.* - url: https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2024.05.20-hd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/pangeo-notebook-2024.05.23-hd8ed1ab_0.conda hash: - md5: 1a395ce4ea99dd0709f6a32ea96a1787 - sha256: 72ee7aed3eb99e116888eef43124143b609c5273194be72762a4de8be14862ff + md5: 1df21a2aee7c2cf67ea2c9586b1f3dd0 + sha256: 18ef6a07fc90b13950f6cd82aea1d06e7d5545c058a4a08c9ecb3970202db422 category: main optional: false - name: pango @@ -7545,10 +7545,10 @@ package: dependencies: python: '>=3.9' typing_extensions: '' - url: https://conda.anaconda.org/conda-forge/noarch/pint-0.23-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/pint-0.23-pyhd8ed1ab_1.conda hash: - md5: d47f9170e3933e53368e0d447c16856f - sha256: c26dfa2094949782db6ddbce2b6e03aff1e9e64c808fef68f66cfea72be18e1d + md5: 0cc14fb43fb03601471ca53934164522 + sha256: 96125048f534f672b794b33722f2fd3186dca6371765da1e5cc60e6d5568a5a9 category: main optional: false - name: pint-xarray @@ -9149,14 +9149,14 @@ package: python_abi: 3.11.* scipy: '' threadpoolctl: '>=3.1.0' - url: https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.5.0-py311he08f58d_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/scikit-learn-1.5.0-py311he08f58d_1.conda hash: - md5: 733e6764138e9c6acd950f8d6e7ee5a8 - sha256: ccf42f937ff2a4d40909c97085834bd7aa02db063855c1a1e09b3a1ad570ebbc + md5: d55e4dde3b30272090f33ddd367c580b + sha256: 8f4150216761b2dcd5d55066c74c46fd3a2bc823178c730acd18bf050f85ef8a category: main optional: false - name: scipy - version: 1.13.0 + version: 1.13.1 manager: conda platform: linux-64 dependencies: @@ -9170,10 +9170,10 @@ package: numpy: '>=1.19,<3' python: '>=3.11,<3.12.0a0' python_abi: 3.11.* - url: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.13.0-py311h517d4fd_1.conda + url: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.13.1-py311h517d4fd_0.conda hash: - md5: a86b8bea39e292a23b2cf9a750f49ea1 - sha256: dd14400515cf0ee248293b85a0f4b9f989a430f28e5611db5dff2eee56127816 + md5: 764b0e055f59dbd7d114d32b8c6e55e6 + sha256: f2312e5565f39308639f982729c151c2c75d5eaf86ac2863e19765f9797f7f3b category: main optional: false - name: seaborn @@ -9560,17 +9560,17 @@ package: category: main optional: false - name: tifffile - version: 2024.5.10 + version: 2024.5.22 manager: conda platform: linux-64 dependencies: imagecodecs: '>=2023.8.12' numpy: '>=1.19.2' python: '>=3.9' - url: https://conda.anaconda.org/conda-forge/noarch/tifffile-2024.5.10-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/tifffile-2024.5.22-pyhd8ed1ab_0.conda hash: - md5: 125438a8b679e4c08ee8f244177216c9 - sha256: e64d5a4d49854ebc12469caa8c4138f959cb32f43a1541a358a6db4c406e8f9b + md5: 3930cabe8ca8c8594026fa8768cae75c + sha256: 9481c766e09829cc8c3ab99f6f8a2392988df53c1579ecb327e4933feede147d category: main optional: false - name: tiledb diff --git a/pangeo-notebook/packages.txt b/pangeo-notebook/packages.txt index a6286a87..944d03a3 100644 --- a/pangeo-notebook/packages.txt +++ b/pangeo-notebook/packages.txt @@ -131,7 +131,7 @@ docopt==0.6.2 docrep==0.3.2 docstring-to-markdown==0.15 docutils==0.19 -donfig==0.8.1.post0 +donfig==0.8.1.post1 earthaccess==0.9.0 eccodes==2.35.0 email-validator==2.1.1 @@ -269,7 +269,7 @@ jupyter-panel-proxy==0.1.0 jupyter-resource-usage==1.0.2 jupyter-server-mathjax==0.2.6 jupyter-server-proxy==4.1.2 -jupyter_client==8.6.1 +jupyter_client==8.6.2 jupyter_core==5.7.2 jupyter_events==0.10.0 jupyter_leaflet==0.19.1 @@ -279,13 +279,13 @@ jupyter_server_xarray_leaflet==0.2.3 jupyter_telemetry==0.1.0 jupyterhub-base==4.1.5 jupyterhub-singleuser==4.1.5 -jupyterlab==4.2.0 +jupyterlab==4.2.1 jupyterlab-git==0.50.0 jupyterlab-lsp==5.1.0 jupyterlab-myst==2.4.2 jupyterlab_code_formatter==2.2.1 jupyterlab_pygments==0.3.0 -jupyterlab_server==2.27.1 +jupyterlab_server==2.27.2 jupyterlab_widgets==3.0.10 jxrlib==1.1 kealib==1.5.3 @@ -478,9 +478,9 @@ packaging==24.0 pamela==1.1.0 pandas==2.2.2 pandocfilters==1.5.0 -panel==1.4.2 +panel==1.4.3 pangeo-dask==2024.05.20 -pangeo-notebook==2024.05.20 +pangeo-notebook==2024.05.23 pango==1.52.1 param==2.1.0 parcels==3.0.2 @@ -599,7 +599,7 @@ s3transfer==0.10.1 satpy==0.48.0 scikit-image==0.22.0 scikit-learn==1.5.0 -scipy==1.13.0 +scipy==1.13.1 seaborn==0.13.2 seaborn-base==0.13.2 send2trash==1.8.3 @@ -628,7 +628,7 @@ tbb==2021.12.0 tblib==3.0.0 terminado==0.18.1 threadpoolctl==3.5.0 -tifffile==2024.5.10 +tifffile==2024.5.22 tiledb==2.20.0 tiledb-py==0.26.0 timezonefinder==6.4.1 diff --git a/pytorch-notebook/conda-linux-64.lock b/pytorch-notebook/conda-linux-64.lock index 0af9259e..c7f416b3 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: 705bd98e90374b9d99d549c9a12f1d0018929e88c3ca488d584f32e69c991f7a +# input_hash: bddca4a925d55ec0e39ba7a304fd75001964bb440d4bd8274ae7ab9407887ea2 @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/binutils_linux-64-2.40-hdade7a5_ https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_kmp_llvm.tar.bz2#562b26ba2e19059551a811e72ab7f793 https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h77fa898_7.conda#72ec1b1b04c4d15d4204ece1ecea5978 https://conda.anaconda.org/conda-forge/linux-64/aom-3.9.0-hac33072_0.conda#93a3bf248e5bc729807db198a9c89f07 -https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.9.18-h4ab18f5_0.conda#b7a382466e8f8fa0faecb717d2388ecc +https://conda.anaconda.org/conda-forge/linux-64/aws-c-common-0.9.19-h4ab18f5_0.conda#c6dedd5eab2236f4abb59ade9fb7fd44 https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hd590300_5.conda#69b8b6202a07720f448be700e300ccf4 https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.28.1-hd590300_0.conda#dcde58ff9a1f30b0037a2315d1846d1f https://conda.anaconda.org/conda-forge/linux-64/charls-2.4.2-h59595ed_0.conda#4336bd67920dd504cd8c6761d6a99645 @@ -95,7 +95,7 @@ https://conda.anaconda.org/conda-forge/linux-64/nettle-3.9.1-h7ab15ed_0.conda#2b https://conda.anaconda.org/conda-forge/linux-64/nspr-4.35-h27087fc_0.conda#da0ec11a6454ae19bff5b02ed881a2b1 https://conda.anaconda.org/conda-forge/linux-64/ocl-icd-2.3.2-hd590300_1.conda#c66f837ac65e4d1cdeb80e2a1d5fcc3d https://conda.anaconda.org/conda-forge/linux-64/openh264-2.4.1-h59595ed_0.conda#3dfcf61b8e78af08110f5229f79580af -https://conda.anaconda.org/conda-forge/linux-64/openssl-3.3.0-h4ab18f5_2.conda#b8934d399b56d73e323403e183d009c5 +https://conda.anaconda.org/conda-forge/linux-64/openssl-3.3.0-h4ab18f5_3.conda#12ea6d0d4ed54530eaed18e4835c1f7c https://conda.anaconda.org/conda-forge/linux-64/pixman-0.43.2-h59595ed_0.conda#71004cbf7924e19c02746ccde9fd7123 https://conda.anaconda.org/conda-forge/linux-64/pthread-stubs-0.4-h36c2ea0_1001.tar.bz2#22dad4df6e8630e8dff2428f6f6a7036 https://conda.anaconda.org/conda-forge/linux-64/pugixml-1.14-h59595ed_0.conda#2c97dd90633508b422c11bd3018206ab @@ -120,10 +120,10 @@ https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2#2161 https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h7f98852_2.tar.bz2#4cb3ad778ec2d5a7acbdf254eb1c42ae https://conda.anaconda.org/conda-forge/linux-64/zfp-1.0.1-h59595ed_0.conda#fd486bffbf0d6841cf1456a8f2e3a995 https://conda.anaconda.org/conda-forge/linux-64/zlib-ng-2.0.7-h0b41bf4_0.conda#49e8329110001f04923fe7e864990b0c -https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.6.14-h34a7930_0.conda#e17b2dffab7ce6eec3a0214936cfd986 -https://conda.anaconda.org/conda-forge/linux-64/aws-c-compression-0.2.18-h4281bc5_5.conda#455d83cf9936afd5812e0d9429789865 -https://conda.anaconda.org/conda-forge/linux-64/aws-c-sdkutils-0.1.16-h4281bc5_1.conda#26a422f6af6159683045d8bdfdef09d2 -https://conda.anaconda.org/conda-forge/linux-64/aws-checksums-0.1.18-h4281bc5_5.conda#485354c119e1c29b1e3d5b83fe0dfc96 +https://conda.anaconda.org/conda-forge/linux-64/aws-c-cal-0.6.14-h88a6e22_1.conda#7ed63b0e816dd1635903506ef5d2c079 +https://conda.anaconda.org/conda-forge/linux-64/aws-c-compression-0.2.18-h83b837d_6.conda#3e572eacd0ce99a59e1bb9c260ad5b20 +https://conda.anaconda.org/conda-forge/linux-64/aws-c-sdkutils-0.1.16-h83b837d_2.conda#f40c698b4ea90f7fedd187c6639c818b +https://conda.anaconda.org/conda-forge/linux-64/aws-checksums-0.1.18-h83b837d_6.conda#7995cb937bdac5913c8904fed6b3729d https://conda.anaconda.org/conda-forge/linux-64/expat-2.6.2-h59595ed_0.conda#53fb86322bdb89496d7579fe3f02fd61 https://conda.anaconda.org/conda-forge/linux-64/gcc_impl_linux-64-12.3.0-h58ffeeb_7.conda#95f78565a09852783d3e90e0389cfa5f 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package: dependencies: python: '>=3.9' typing_extensions: '' - url: https://conda.anaconda.org/conda-forge/noarch/pint-0.23-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/pint-0.23-pyhd8ed1ab_1.conda hash: - md5: d47f9170e3933e53368e0d447c16856f - sha256: c26dfa2094949782db6ddbce2b6e03aff1e9e64c808fef68f66cfea72be18e1d + md5: 0cc14fb43fb03601471ca53934164522 + sha256: 96125048f534f672b794b33722f2fd3186dca6371765da1e5cc60e6d5568a5a9 category: main optional: false - name: pint-xarray @@ -9839,16 +9839,16 @@ package: category: main optional: false - name: s2n - version: 1.4.14 + version: 1.4.15 manager: conda platform: linux-64 dependencies: libgcc-ng: '>=12' openssl: '>=3.3.0,<4.0a0' - url: https://conda.anaconda.org/conda-forge/linux-64/s2n-1.4.14-he19d79f_0.conda + url: https://conda.anaconda.org/conda-forge/linux-64/s2n-1.4.15-he19d79f_0.conda hash: - md5: e54e01ff67380eb6572fe2722e878cba - sha256: 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https://conda.anaconda.org/conda-forge/linux-64/scipy-1.13.0-py311h517d4fd_1.conda + url: https://conda.anaconda.org/conda-forge/linux-64/scipy-1.13.1-py311h517d4fd_0.conda hash: - md5: a86b8bea39e292a23b2cf9a750f49ea1 - sha256: dd14400515cf0ee248293b85a0f4b9f989a430f28e5611db5dff2eee56127816 + md5: 764b0e055f59dbd7d114d32b8c6e55e6 + sha256: f2312e5565f39308639f982729c151c2c75d5eaf86ac2863e19765f9797f7f3b category: main optional: false - name: seaborn @@ -10431,17 +10431,17 @@ package: category: main optional: false - name: tifffile - version: 2024.5.10 + version: 2024.5.22 manager: conda platform: linux-64 dependencies: imagecodecs: '>=2023.8.12' numpy: '>=1.19.2' python: '>=3.9' - url: https://conda.anaconda.org/conda-forge/noarch/tifffile-2024.5.10-pyhd8ed1ab_0.conda + url: https://conda.anaconda.org/conda-forge/noarch/tifffile-2024.5.22-pyhd8ed1ab_0.conda hash: - md5: 125438a8b679e4c08ee8f244177216c9 - sha256: e64d5a4d49854ebc12469caa8c4138f959cb32f43a1541a358a6db4c406e8f9b + md5: 3930cabe8ca8c8594026fa8768cae75c + sha256: 9481c766e09829cc8c3ab99f6f8a2392988df53c1579ecb327e4933feede147d category: main optional: false - name: tiledb @@ -10449,7 +10449,7 @@ package: manager: conda platform: linux-64 dependencies: - aws-crt-cpp: '>=0.26.8,<0.26.9.0a0' + aws-crt-cpp: '>=0.26.9,<0.26.10.0a0' aws-sdk-cpp: '>=1.11.329,<1.11.330.0a0' azure-core-cpp: '>=1.11.1,<1.11.2.0a0' azure-identity-cpp: '>=1.6.0,<1.6.1.0a0' @@ -10458,7 +10458,7 @@ package: bzip2: '>=1.0.8,<2.0a0' fmt: '>=10.2.1,<11.0a0' libabseil: '>=20240116.2,<20240117.0a0' - libcurl: '>=8.7.1,<9.0a0' + libcurl: '>=8.8.0,<9.0a0' libgcc-ng: '>=12' libgoogle-cloud: '>=2.24.0,<2.25.0a0' libgoogle-cloud-storage: '>=2.24.0,<2.25.0a0' @@ -10469,10 +10469,10 @@ package: openssl: '>=3.3.0,<4.0a0' spdlog: '>=1.13.0,<1.14.0a0' zstd: '>=1.5.6,<1.6.0a0' - url: https://conda.anaconda.org/conda-forge/linux-64/tiledb-2.23.0-h8c8a0e1_1.conda + url: https://conda.anaconda.org/conda-forge/linux-64/tiledb-2.23.0-hfa691db_2.conda hash: - md5: 6284ea476918456659bec1250fa4a936 - sha256: c79cc1d2af6e072c6c394bd03bb314c4da775833f3b26880b77592a77863cbc8 + md5: f9cd15d6c7deeeb5b60d65fac59b18bc + sha256: ff6cf1bb8e28f2cb04eaeec07166d97f415e003eecd70c23e531b73403a956f8 category: main optional: false - name: tiledb-py diff --git a/pytorch-notebook/packages.txt b/pytorch-notebook/packages.txt index 039613c3..14c93cb9 100644 --- a/pytorch-notebook/packages.txt +++ b/pytorch-notebook/packages.txt @@ -32,7 +32,7 @@ attrs==23.2.0 av==12.0.0 aws-c-auth==0.7.22 aws-c-cal==0.6.14 -aws-c-common==0.9.18 +aws-c-common==0.9.19 aws-c-compression==0.2.18 aws-c-event-stream==0.4.2 aws-c-http==0.8.1 @@ -41,7 +41,7 @@ aws-c-mqtt==0.10.4 aws-c-s3==0.5.9 aws-c-sdkutils==0.1.16 aws-checksums==0.1.18 -aws-crt-cpp==0.26.8 +aws-crt-cpp==0.26.9 aws-sdk-cpp==1.11.329 awscli==1.32.106 azure-core==1.30.1 @@ -139,7 +139,7 @@ docrep==0.3.2 docstring-to-markdown==0.15 docstring_parser==0.16 docutils==0.16 -donfig==0.8.1.post0 +donfig==0.8.1.post1 earthaccess==0.9.0 eccodes==2.35.0 efficientnet-pytorch==0.7.1 @@ -289,7 +289,7 @@ jupyter-panel-proxy==0.1.0 jupyter-resource-usage==1.0.2 jupyter-server-mathjax==0.2.6 jupyter-server-proxy==4.1.2 -jupyter_client==8.6.1 +jupyter_client==8.6.2 jupyter_core==5.7.2 jupyter_events==0.10.0 jupyter_leaflet==0.19.1 @@ -299,14 +299,14 @@ jupyter_server_xarray_leaflet==0.2.3 jupyter_telemetry==0.1.0 jupyterhub-base==4.1.5 jupyterhub-singleuser==4.1.5 -jupyterlab==4.2.0 +jupyterlab==4.2.1 jupyterlab-git==0.50.0 jupyterlab-lsp==5.1.0 jupyterlab-myst==2.4.2 jupyterlab-nvdashboard==0.4.0 jupyterlab_code_formatter==2.2.1 jupyterlab_pygments==0.3.0 -jupyterlab_server==2.27.1 +jupyterlab_server==2.27.2 jupyterlab_widgets==3.0.10 jxrlib==1.1 kealib==1.5.3 @@ -523,9 +523,9 @@ packaging==24.0 pamela==1.1.0 pandas==2.2.2 pandocfilters==1.5.0 -panel==1.4.2 +panel==1.4.3 pangeo-dask==2024.05.20 -pangeo-notebook==2024.05.20 +pangeo-notebook==2024.05.23 pango==1.52.2 parallelio==2.6.2 param==2.1.0 @@ -641,14 +641,14 @@ rtree==1.2.0 ruamel.yaml==0.18.6 ruamel.yaml.clib==0.2.8 ruff==0.4.4 -s2n==1.4.14 +s2n==1.4.15 s3fs==2024.5.0 s3transfer==0.10.1 safetensors==0.4.3 satpy==0.48.0 scikit-image==0.22.0 scikit-learn==1.5.0 -scipy==1.13.0 +scipy==1.13.1 seaborn==0.13.2 seaborn-base==0.13.2 segmentation-models-pytorch==0.3.3 @@ -681,7 +681,7 @@ tbb==2021.12.0 tblib==3.0.0 terminado==0.18.1 threadpoolctl==3.5.0 -tifffile==2024.5.10 +tifffile==2024.5.22 tiledb==2.23.0 tiledb-py==0.29.0 timezonefinder==6.4.1