manual update to py38-linux-64.lock (#4480)

.cirrus.yml

@@ -60,7 +60,6 @@ linux_task_template: &LINUX_TASK_TEMPLATE
       - echo "$(date +%Y).$(expr $(date +%U) / ${CACHE_PERIOD}):${CONDA_CACHE_BUILD}"
       - uname -r
     populate_script:
-      - export CONDA_OVERRIDE_LINUX="$(uname -r | cut -d'+' -f1)"
       - bash miniconda.sh -b -p ${HOME}/miniconda
       - conda config --set always_yes yes --set changeps1 no
       - conda config --set show_channel_urls True
@@ -151,7 +150,6 @@ task:
   << : *IRIS_TEST_DATA_TEMPLATE
   << : *LINUX_TASK_TEMPLATE
   tests_script:
-    - export CONDA_OVERRIDE_LINUX="$(uname -r | cut -d'+' -f1)"
     - echo "[Resources]" > ${SITE_CFG}
     - echo "test_data_dir = ${IRIS_TEST_DATA_DIR}/test_data" >> ${SITE_CFG}
     - echo "doc_dir = ${CIRRUS_WORKING_DIR}/docs" >> ${SITE_CFG}
@@ -172,7 +170,6 @@ task:
   << : *IRIS_TEST_DATA_TEMPLATE
   << : *LINUX_TASK_TEMPLATE
   tests_script:
-    - export CONDA_OVERRIDE_LINUX="$(uname -r | cut -d'+' -f1)"
     - echo "[Resources]" > ${SITE_CFG}
     - echo "test_data_dir = ${IRIS_TEST_DATA_DIR}/test_data" >> ${SITE_CFG}
     - echo "doc_dir = ${CIRRUS_WORKING_DIR}/docs" >> ${SITE_CFG}
@@ -195,7 +192,6 @@ task:
   name: "${CIRRUS_OS}: py${PY_VER} link check"
   << : *LINUX_TASK_TEMPLATE
   tests_script:
-    - export CONDA_OVERRIDE_LINUX="$(uname -r | cut -d'+' -f1)"
     - mkdir -p ${MPL_RC_DIR}
     - echo "backend : agg" > ${MPL_RC_FILE}
     - echo "image.cmap : viridis" >> ${MPL_RC_FILE}

lib/iris/tests/integration/test_trajectory.py

@@ -216,8 +216,10 @@ def setUp(self):
         cube.coord("depth").bounds = b32
         self.cube = cube
         # define a latitude trajectory (put coords in a different order
-        # to the cube, just to be awkward)
-        latitudes = list(range(-90, 90, 2))
+        # to the cube, just to be awkward) although avoid south pole
+        # singularity as a sample point and the issue of snapping to
+        # multi-equidistant closest points from within orca antarctic hole
+        latitudes = list(range(-80, 90, 2))
         longitudes = [-90] * len(latitudes)
         self.sample_points = [
             ("longitude", longitudes),
@@ -226,7 +228,9 @@ def setUp(self):
 
     def test_tri_polar(self):
         # extract
-        sampled_cube = traj_interpolate(self.cube, self.sample_points)
+        sampled_cube = traj_interpolate(
+            self.cube, self.sample_points, method="nearest"
+        )
         self.assertCML(
             sampled_cube, ("trajectory", "tri_polar_latitude_slice.cml")
         )
@@ -329,8 +333,12 @@ def test_hybrid_height(self):
         # Put a lazy array into the cube so we can test deferred loading.
         cube.data = as_lazy_data(cube.data)
 
+        # Use opionated grid-latitudes to avoid the issue of platform
+        # specific behaviour within SciPy cKDTree choosing a different
+        # equi-distant nearest neighbour point when there are multiple
+        # valid candidates.
         traj = (
-            ("grid_latitude", [20.5, 21.5, 22.5, 23.5]),
+            ("grid_latitude", [20.4, 21.6, 22.6, 23.6]),
             ("grid_longitude", [31, 32, 33, 34]),
         )
         xsec = traj_interpolate(cube, traj, method="nearest")

lib/iris/tests/results/trajectory/tri_polar_latitude_slice.cml

@@ -76,8 +76,25 @@
         </dimCoord>
       </coord>
       <coord datadims="[2]">
-        <auxCoord id="11ca7825" long_name="Latitude" points="[-78.1906, -78.1906, -78.1906, ..., 83.8392,
-		86.2794, 87.9471]" shape="(90,)" standard_name="latitude" units="Unit('degrees')" value_type="float32" var_name="nav_lat">
+        <auxCoord id="11ca7825" long_name="Latitude" points="[-78.1906, -78.1906, -75.9593, -73.8813,
+		-72.1291, -70.1934, -68.0573, -65.7033,
+		-64.0042, -62.1951, -60.2708, -58.2263,
+		-56.0568, -53.7579, -52.5588, -50.0592,
+		-47.4221, -46.0515, -44.6461, -41.7305,
+		-40.2206, -38.6764, -35.4861, -33.8412, -32.164,
+		-30.4554, -28.7163, -25.151, -23.3275, -21.4785,
+		-19.6058, -17.7195, -15.8603, -14.0676, -12.371,
+		-9.34114, -8.02666, -5.79855, -4.04952,
+		-2.07787, 0.0, 2.07787, 4.04952, 5.79855,
+		8.02666, 9.34114, 12.371, 14.0676, 15.8603,
+		17.7195, 19.6058, 21.4785, 23.3259, 25.1435,
+		28.674, 30.3802, 32.0435, 33.662, 36.7592,
+		38.2365, 39.6659, 42.3824, 43.6708, 46.1128,
+		48.3829, 50.4917, 52.4501, 54.269, 56.0526,
+		58.388, 59.8105, 61.9343, 63.6994, 66.2458,
+		68.1604, 70.0161, 71.9718, 73.7929, 75.9537,
+		78.0287, 80.0671, 82.3667, 83.8392, 86.2794,
+		87.9471]" shape="(85,)" standard_name="latitude" units="Unit('degrees')" value_type="float32" var_name="nav_lat">
           <attributes>
             <attribute name="nav_model" value="Default grid"/>
             <attribute name="valid_max" value="89.6139"/>
@@ -86,8 +103,26 @@
         </auxCoord>
       </coord>
       <coord datadims="[2]">
-        <auxCoord id="ee0adb2e" long_name="Longitude" points="[-84.0002, -90.0001, -90.0001, ..., -86.9366,
-		-88.8945, -100.0]" shape="(90,)" standard_name="longitude" units="Unit('degrees')" value_type="float32" var_name="nav_lon">
+        <auxCoord id="ee0adb2e" long_name="Longitude" points="[-90.0001, -90.0001, -90.0001, -90.0001,
+		-90.0001, -90.0001, -90.0001, -90.0001,
+		-90.0001, -90.0001, -90.0001, -90.0001,
+		-90.0001, -90.0001, -90.0001, -90.0001,
+		-90.0001, -90.0001, -90.0001, -90.0001,
+		-90.0001, -90.0001, -90.0001, -90.0001,
+		-90.0001, -90.0001, -90.0001, -90.0001,
+		-90.0001, -90.0001, -90.0001, -90.0001,
+		-90.0001, -90.0001, -90.0001, -90.0001,
+		-90.0001, -90.0001, -90.0001, -90.0001,
+		-90.0001, -90.0001, -90.0001, -90.0001,
+		-90.0001, -90.0001, -90.0001, -90.0001,
+		-90.0001, -90.0001, -90.0001, -90.0, -90.0,
+		-90.0001, -90.0011, -90.0025, -90.0048,
+		-90.0085, -90.0212, -90.0311, -90.0439,
+		-90.0804, -90.1049, -90.169, -90.2563, -90.3709,
+		-90.5171, -90.6991, -89.099, -89.604, -90.0221,
+		-89.24, -90.3704, -90.003, -90.3291, -89.7086,
+		-89.9471, -89.177, -91.0905, -91.5342, -88.873,
+		-89.8953, -86.9366, -88.8945, -100.0]" shape="(85,)" standard_name="longitude" units="Unit('degrees')" value_type="float32" var_name="nav_lon">
           <attributes>
             <attribute name="nav_model" value="Default grid"/>
             <attribute name="valid_max" value="180.0"/>
@@ -109,6 +144,6 @@
         <coord name="time"/>
       </cellMethod>
     </cellMethods>
-    <data checksum="0xe9325dcb" dtype="float64" shape="(1, 31, 90)"/>
+    <data checksum="0x3a8195d5" dtype="float64" shape="(1, 31, 85)"/>
   </cube>
 </cubes>

lib/iris/tests/unit/analysis/cartography/test_rotate_grid_vectors.py

@@ -33,7 +33,7 @@ def _check_angles_calculation(
         u_cube.rename("dx")
         u_cube.data[...] = 0
         v_cube = u_cube.copy()
-        v_cube.name("dy")
+        v_cube.rename("dy")
 
         # Define 6 different vectors, repeated in each data row.
         in_vu = np.array([(0, 1), (2, -1), (-1, -1), (-3, 1), (2, 0), (0, 0)])
@@ -71,7 +71,7 @@ def _check_angles_calculation(
         ang_diffs = out_angs - expect_angs
         # Fix for null vectors, and +/-360 differences.
         ang_diffs[np.abs(out_mags) < 0.001] = 0.0
-        ang_diffs = ang_diffs % 360.0
+        ang_diffs[np.isclose(np.abs(ang_diffs), 360.0)] = 0.0
         # Check that any differences are very small.
         self.assertArrayAllClose(ang_diffs, 0.0)
 
@@ -97,7 +97,7 @@ def test_angles_from_grid(self):
         u_cube.rename("dx")
         u_cube.data[...] = 1.0
         v_cube = u_cube.copy()
-        v_cube.name("dy")
+        v_cube.rename("dy")
         v_cube.data[...] = 0.0
 
         # Setup a fake angles result from the inner call to 'gridcell_angles'.

noxfile.py

@@ -28,6 +28,13 @@
 #: Default cartopy cache directory.
 CARTOPY_CACHE_DIR = os.environ.get("HOME") / Path(".local/share/cartopy")
 
+# https://github.com/numpy/numpy/pull/19478
+# https://github.com/matplotlib/matplotlib/pull/22099
+#: Common session environment variables.
+ENV = dict(
+    NPY_DISABLE_CPU_FEATURES="AVX512F,AVX512CD,AVX512VL,AVX512BW,AVX512DQ,AVX512_SKX"
+)
+
 
 def session_lockfile(session: nox.sessions.Session) -> Path:
     """Return the path of the session lockfile."""
@@ -210,6 +217,7 @@ def tests(session: nox.sessions.Session):
     """
     prepare_venv(session)
     session.install("--no-deps", "--editable", ".")
+    session.env.update(ENV)
     session.run(
         "python",
         "-m",
@@ -232,6 +240,7 @@ def doctest(session: nox.sessions.Session):
     """
     prepare_venv(session)
     session.install("--no-deps", "--editable", ".")
+    session.env.update(ENV)
     session.cd("docs")
     session.run(
         "make",

requirements/ci/nox.lock/py38-linux-64.lock

@@ -62,7 +62,7 @@ https://conda.anaconda.org/conda-forge/linux-64/xorg-xextproto-7.3.0-h7f98852_10
 https://conda.anaconda.org/conda-forge/linux-64/xorg-xproto-7.0.31-h7f98852_1007.tar.bz2#b4a4381d54784606820704f7b5f05a15
 https://conda.anaconda.org/conda-forge/linux-64/xxhash-0.8.0-h7f98852_3.tar.bz2#52402c791f35e414e704b7a113f99605
 https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.5-h516909a_1.tar.bz2#33f601066901f3e1a85af3522a8113f9
-https://conda.anaconda.org/conda-forge/linux-64/yaml-0.2.5-h516909a_0.tar.bz2#03a530e925414902547cf48da7756db8
+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/gettext-0.19.8.1-h73d1719_1008.tar.bz2#af49250eca8e139378f8ff0ae9e57251
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@@ -110,19 +110,19 @@ https://conda.anaconda.org/conda-forge/linux-64/xorg-libxrender-0.9.10-h7f98852_
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-https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-2.0.9-pyhd8ed1ab_0.tar.bz2#a57a3f6f2b0a7400e340f850c405df19
+https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-2.0.10-pyhd8ed1ab_0.tar.bz2#ea77236c8031cfa821720b21b4cb0ceb
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 https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.4-pyhd8ed1ab_0.tar.bz2#7b50d840543d9cdae100e91582c33035
-https://conda.anaconda.org/conda-forge/noarch/filelock-3.4.2-pyhd8ed1ab_0.tar.bz2#d05900c9b0ef4c3d1cef2e8a5c49350e
+https://conda.anaconda.org/conda-forge/noarch/filelock-3.4.2-pyhd8ed1ab_1.tar.bz2#d3f5797d3f9625c64860c93fc4359e64
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-https://conda.anaconda.org/conda-forge/linux-64/libcurl-7.80.0-h2574ce0_0.tar.bz2#5d0784b790350f7939bb5d3f2c32e700
+https://conda.anaconda.org/conda-forge/linux-64/libcurl-7.81.0-h2574ce0_0.tar.bz2#1f8655741d0269ca6756f131522da1e8
 https://conda.anaconda.org/conda-forge/linux-64/libpq-13.5-hd57d9b9_1.tar.bz2#a0f425d61c7df890d6381ea352c3f1d7
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@@ -148,14 +148,14 @@ https://conda.anaconda.org/conda-forge/noarch/babel-2.9.1-pyh44b312d_0.tar.bz2#7
 https://conda.anaconda.org/conda-forge/linux-64/cairo-1.16.0-h6cf1ce9_1008.tar.bz2#a43fb47d15e116f8be4be7e6b17ab59f
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-https://conda.anaconda.org/conda-forge/linux-64/curl-7.80.0-h2574ce0_0.tar.bz2#4d8fd67e5ab7e00fde8ad085464f43b7
+https://conda.anaconda.org/conda-forge/linux-64/curl-7.81.0-h2574ce0_0.tar.bz2#3a95d393b490f82aa406f1892fad84d9
 https://conda.anaconda.org/conda-forge/linux-64/docutils-0.16-py38h578d9bd_3.tar.bz2#a7866449fb9e5e4008a02df276549d34
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 https://conda.anaconda.org/conda-forge/linux-64/mpi4py-3.1.3-py38he865349_0.tar.bz2#b1b3d6847a68251a1465206ab466b475
-https://conda.anaconda.org/conda-forge/linux-64/numpy-1.21.5-py38h87f13fb_0.tar.bz2#07fef7a6a3c56e0410d047c0aa62416e
+https://conda.anaconda.org/conda-forge/linux-64/numpy-1.22.0-py38h6ae9a64_0.tar.bz2#0731ced21afb9adab62eb7aaf7abaf1e
 https://conda.anaconda.org/conda-forge/noarch/packaging-21.3-pyhd8ed1ab_0.tar.bz2#71f1ab2de48613876becddd496371c85
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@@ -167,7 +167,7 @@ https://conda.anaconda.org/conda-forge/noarch/python-dateutil-2.8.2-pyhd8ed1ab_0
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 https://conda.anaconda.org/conda-forge/linux-64/pyyaml-6.0-py38h497a2fe_3.tar.bz2#131de7d638aa59fb8afbce59f1a8aa98
 https://conda.anaconda.org/conda-forge/linux-64/qt-5.12.9-hda022c4_4.tar.bz2#afebab1f5049d66baaaec67d9ce893f0
-https://conda.anaconda.org/conda-forge/linux-64/setuptools-60.2.0-py38h578d9bd_0.tar.bz2#cbaabcbc6fb460f1a515188e6d966fa2
+https://conda.anaconda.org/conda-forge/linux-64/setuptools-60.3.1-py38h578d9bd_0.tar.bz2#adb15768b02db40b8f7234bfe0a6e7fc
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 https://conda.anaconda.org/conda-forge/linux-64/virtualenv-20.4.7-py38h578d9bd_1.tar.bz2#37717ce393db8536ae2b613839af4274
@@ -184,7 +184,7 @@ https://conda.anaconda.org/conda-forge/linux-64/mo_pack-0.2.0-py38h6c62de6_1006.
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 https://conda.anaconda.org/conda-forge/noarch/pip-21.3.1-pyhd8ed1ab_0.tar.bz2#e4fe2a9af78ff11f1aced7e62128c6a8
-https://conda.anaconda.org/conda-forge/noarch/pygments-2.11.1-pyhd8ed1ab_0.tar.bz2#6f857f10fe2960dce20d59d71a290d51
+https://conda.anaconda.org/conda-forge/noarch/pygments-2.11.2-pyhd8ed1ab_0.tar.bz2#caef60540e2239e27bf62569a5015e3b
 https://conda.anaconda.org/conda-forge/linux-64/pyproj-3.3.0-py38hdd21e9b_0.tar.bz2#ceb8ec641cd5faa40b568f8ca008b6dc
 https://conda.anaconda.org/conda-forge/linux-64/pyqt-impl-5.12.3-py38h0ffb2e6_8.tar.bz2#acfc7625a212c27f7decdca86fdb2aba
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@@ -205,15 +205,15 @@ https://conda.anaconda.org/conda-forge/linux-64/pyqtwebengine-5.12.1-py38h7400c1
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+https://conda.anaconda.org/conda-forge/linux-64/librsvg-2.52.5-hc3c00ef_1.tar.bz2#9cd526f006d048eb912e09c5982393ea
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