Merge pull request #89 from oceanhackweek/24-Myranda-xarray-pin

Pin xarray to less than 2024.3 for argopy

py-base/pixi.lock

@@ -355,7 +355,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/noarch/numbagg-0.8.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/numcodecs-0.12.1-py312h7070661_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.0.1-py312h1103770_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.4-py312heda63a1_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/numpy_groupies-0.11.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/oauthlib-3.2.2-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.2-h488ebb8_0.conda
@@ -509,7 +509,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/wheel-0.44.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/widgetsnbextension-4.0.11-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/wrapt-1.16.0-py312h98912ed_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/xarray-2024.7.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/xarray-2024.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-0.4.1-hb711507_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-cursor-0.1.4-h4ab18f5_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/xcb-util-image-0.4.0-hb711507_2.conda
@@ -894,7 +894,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/numba-0.60.0-py312h638656a_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/numbagg-0.8.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/numcodecs-0.12.1-py312h7f10901_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/numpy-2.0.1-py312hd0593b1_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/numpy-1.26.4-py312h470d778_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/numpy_groupies-0.11.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/oauthlib-3.2.2-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/openjpeg-2.5.2-h0d9d63b_0.conda
@@ -1047,7 +1047,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/wheel-0.44.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/widgetsnbextension-4.0.11-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/wrapt-1.16.0-py312hdd3e373_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/xarray-2024.7.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/xarray-2024.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/xcb-util-0.4.1-h5c728e9_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/xcb-util-cursor-0.1.4-h68df207_2.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/xcb-util-image-0.4.0-h5c728e9_2.conda
@@ -1413,7 +1413,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-64/numba-0.60.0-py312hc3b515d_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/numbagg-0.8.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/numcodecs-0.12.1-py312h28f332c_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-64/numpy-2.0.1-py312h8813227_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-64/numpy-1.26.4-py312he3a82b2_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/numpy_groupies-0.11.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/oauthlib-3.2.2-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-64/openjpeg-2.5.2-h7310d3a_0.conda
@@ -1565,7 +1565,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/wheel-0.44.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/widgetsnbextension-4.0.11-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/wrapt-1.16.0-py312h41838bb_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/xarray-2024.7.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/xarray-2024.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/xerces-c-3.2.5-hbbe9ea5_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/xoak-0.1.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-64/xorg-libxau-1.0.11-h0dc2134_0.conda
@@ -1909,7 +1909,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/numba-0.60.0-py312h41cea2d_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/numbagg-0.8.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/numcodecs-0.12.1-py312h5c2e7bc_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/numpy-2.0.1-py312hb544834_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/osx-arm64/numpy-1.26.4-py312h8442bc7_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/numpy_groupies-0.11.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/oauthlib-3.2.2-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/openjpeg-2.5.2-h9f1df11_0.conda
@@ -2060,7 +2060,7 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/wheel-0.44.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/widgetsnbextension-4.0.11-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/wrapt-1.16.0-py312he37b823_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/xarray-2024.7.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/xarray-2024.2.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/xerces-c-3.2.5-hf393695_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/xoak-0.1.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/osx-arm64/xorg-libxau-1.0.11-hb547adb_0.conda
@@ -17751,95 +17751,92 @@ packages:
   timestamp: 1715219145296
 - kind: conda
   name: numpy
-  version: 2.0.1
-  build: py312h1103770_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.0.1-py312h1103770_0.conda
-  sha256: 0746a37d09036b4164ac14dd1328dd4e449a038383aac1e25e2d5f3a691518da
-  md5: 9f444595d8d9682891f2f078fc19da43
+  version: 1.26.4
+  build: py312h470d778_0
+  subdir: linux-aarch64
+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/numpy-1.26.4-py312h470d778_0.conda
+  sha256: 23767677a7790bee5457d5e75ebd508b9a31c5354216f4310dd1acfca3f7a6f9
+  md5: 9cebf5a06cb87d4569cd68df887af476
   depends:
-  - __glibc >=2.17,<3.0.a0
   - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
   - libgcc-ng >=12
   - liblapack >=3.9.0,<4.0a0
   - libstdcxx-ng >=12
   - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   constrains:
   - numpy-base <0a0
   license: BSD-3-Clause
   license_family: BSD
-  size: 8345605
-  timestamp: 1721966364929
+  size: 6614296
+  timestamp: 1707225994762
 - kind: conda
   name: numpy
-  version: 2.0.1
-  build: py312h8813227_0
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/numpy-2.0.1-py312h8813227_0.conda
-  sha256: 3f73ed4464e3dc639c875b6cbe86e8095f88afe047bdfdc3d4b4ae120dd830e8
-  md5: 7f239fbf9d9355f86529a35af0b24d29
+  version: 1.26.4
+  build: py312h8442bc7_0
+  subdir: osx-arm64
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/numpy-1.26.4-py312h8442bc7_0.conda
+  sha256: c8841d6d6f61fd70ca80682efbab6bdb8606dc77c68d8acabfbd7c222054f518
+  md5: d83fc83d589e2625a3451c9a7e21047c
   depends:
-  - __osx >=10.13
   - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
   - libcxx >=16
   - liblapack >=3.9.0,<4.0a0
   - python >=3.12,<3.13.0a0
+  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   constrains:
   - numpy-base <0a0
   license: BSD-3-Clause
   license_family: BSD
-  size: 7464264
-  timestamp: 1721966235928
+  size: 6073136
+  timestamp: 1707226249608
 - kind: conda
   name: numpy
-  version: 2.0.1
-  build: py312hb544834_0
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/numpy-2.0.1-py312hb544834_0.conda
-  sha256: 943ede4dc872c8f8b7d92a71b843b445f46ebf084047f5816554646d763aa50d
-  md5: c386f6ee0329c18d652e30b9722c6660
+  version: 1.26.4
+  build: py312he3a82b2_0
+  subdir: osx-64
+  url: https://conda.anaconda.org/conda-forge/osx-64/numpy-1.26.4-py312he3a82b2_0.conda
+  sha256: 6152b73fba3e227afa4952df8753128fc9669bbaf142ee8f9972bf9df3bf8856
+  md5: 96c61a21c4276613748dba069554846b
   depends:
-  - __osx >=11.0
   - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
   - libcxx >=16
   - liblapack >=3.9.0,<4.0a0
   - python >=3.12,<3.13.0a0
-  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   constrains:
   - numpy-base <0a0
   license: BSD-3-Clause
   license_family: BSD
-  size: 6294877
-  timestamp: 1721966342039
+  size: 6990646
+  timestamp: 1707226178262
 - kind: conda
   name: numpy
-  version: 2.0.1
-  build: py312hd0593b1_0
-  subdir: linux-aarch64
-  url: https://conda.anaconda.org/conda-forge/linux-aarch64/numpy-2.0.1-py312hd0593b1_0.conda
-  sha256: e40b98a3f5646a657327f2e235d7216d16482fae30f073e1024a69dbc8024f7e
-  md5: 7d35f990473581b44a49b4846b649bfd
+  version: 1.26.4
+  build: py312heda63a1_0
+  subdir: linux-64
+  url: https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.4-py312heda63a1_0.conda
+  sha256: fe3459c75cf84dcef6ef14efcc4adb0ade66038ddd27cadb894f34f4797687d8
+  md5: d8285bea2a350f63fab23bf460221f3f
   depends:
   - libblas >=3.9.0,<4.0a0
   - libcblas >=3.9.0,<4.0a0
   - libgcc-ng >=12
   - liblapack >=3.9.0,<4.0a0
   - libstdcxx-ng >=12
   - python >=3.12,<3.13.0a0
-  - python >=3.12,<3.13.0a0 *_cpython
   - python_abi 3.12.* *_cp312
   constrains:
   - numpy-base <0a0
   license: BSD-3-Clause
   license_family: BSD
-  size: 7134671
-  timestamp: 1721966364147
+  size: 7484186
+  timestamp: 1707225809722
 - kind: conda
   name: numpy_groupies
   version: 0.11.1
@@ -23816,42 +23813,43 @@ packages:
   timestamp: 1699533197501
 - kind: conda
   name: xarray
-  version: 2024.7.0
+  version: 2024.2.0
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/xarray-2024.7.0-pyhd8ed1ab_0.conda
-  sha256: c8a0c70bb3402b29a9eebb1e41c5d28e9215bb14abea0c986d4d89026aa1ce42
-  md5: a7d4ff4bf1502eaba3fbbaeba66969ec
+  url: https://conda.anaconda.org/conda-forge/noarch/xarray-2024.2.0-pyhd8ed1ab_0.conda
+  sha256: 4b0a8143f5c501246214823fe543e9d0749c950fdbdd39de6d8cd6209da2259f
+  md5: 8e25aab3323476d4fd0b5f6bad05d403
   depends:
-  - numpy >=1.23
-  - packaging >=23.1
-  - pandas >=2.0
+  - numpy >=1.23,<2.0a0
+  - packaging >=22
+  - pandas >=1.5
   - python >=3.9
   constrains:
-  - dask-core >=2023.4
-  - hdf5 >=1.12
   - bottleneck >=1.3
-  - numba >=0.56
-  - h5py >=3.8
-  - h5netcdf >=1.1
-  - iris >=3.4
-  - sparse >=0.14
-  - matplotlib-base >=3.7
-  - toolz >=0.12
-  - distributed >=2023.4
-  - seaborn >=0.12
-  - zarr >=2.14
+  - h5py >=3.6
+  - zarr >=2.12
+  - h5netcdf >=1.0
   - cftime >=1.6
-  - pint >=0.22
-  - netcdf4 >=1.6.0
+  - distributed >=2022.7
+  - matplotlib-base >=3.5
+  - flox >=0.5
+  - numba >=0.55
+  - scipy >=1.8
   - nc-time-axis >=1.4
-  - scipy >=1.10
-  - cartopy >=0.21
-  - flox >=0.7
+  - pint >=0.19
+  - toolz >=0.12
+  - netcdf4 >=1.6.0
+  - seaborn >=0.11
+  - hdf5 >=1.12
+  - dask-core >=2022.7
+  - sparse >=0.13
+  - cartopy >=0.20
+  - iris >=3.2
   license: Apache-2.0
-  size: 791540
-  timestamp: 1722348308549
+  license_family: APACHE
+  size: 741597
+  timestamp: 1708349308763
 - kind: conda
   name: xcb-util
   version: 0.4.1

py-base/pixi.toml

@@ -57,7 +57,7 @@ pytorch = ">=2.3.1,<2.4"
 torchvision = ">=0.18.1,<0.19"
 einops = ">=0.8.0,<0.9"
 matplotlib = ">=3.9.1,<3.10"
-numpy = ">=2.0.1,<2.1"
+numpy = "*"
 
 [feature.24-Ciara.dependencies]
 cfgrib = ">=0.9.14.0"
@@ -66,7 +66,7 @@ ipykernel = ">=6.29.5"
 numpy = ">=1.24.3"
 matplotlib = ">=3.9.1"
 pandas = ">=2.2.2"
-xarray = ">=2024.1.0"
+xarray = "*"
 cartopy = ">=0.22.0"
 boto3 = "*"
 # botocore = ">=1.34.78"
@@ -98,6 +98,7 @@ matplotlib = "*"
 pandas = "*"
 scikit-learn = "*"
 numpy = "*"
+xarray = "<2024.3"
 
 
 [environments]