From a82bea0c62a6f4235702451eac38ec8a17cae2ac Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Tue, 2 Jul 2024 12:27:11 +0100 Subject: [PATCH 01/29] Demo Numpy v2. --- requirements/locks/py312-linux-64.lock | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements/locks/py312-linux-64.lock b/requirements/locks/py312-linux-64.lock index 04da2d926d..f123dca061 100644 --- a/requirements/locks/py312-linux-64.lock +++ b/requirements/locks/py312-linux-64.lock @@ -266,7 +266,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libgcrypt-1.10.3-hd590300_0.cond https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h135f659_114.conda#a908e463c710bd6b10a9eaa89fdf003c https://conda.anaconda.org/conda-forge/linux-64/libopenvino-2024.1.0-h2da1b83_7.conda#692bb11510bfceb34723c5115045096e https://conda.anaconda.org/conda-forge/linux-64/libsndfile-1.2.2-hc60ed4a_1.conda#ef1910918dd895516a769ed36b5b3a4e -https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.4-py312heda63a1_0.conda#d8285bea2a350f63fab23bf460221f3f +https://conda.anaconda.org/conda-forge/linux-64/numpy-2.0.0-py312h22e1c76_0.conda#7956c7d65f87aecaba720af6088e72c3 https://conda.anaconda.org/conda-forge/noarch/pbr-6.0.0-pyhd8ed1ab_0.conda#8dbab5ba746ed14aa32cb232dc437f8f https://conda.anaconda.org/conda-forge/linux-64/pyproj-3.6.1-py312h38f1c37_5.conda#867baf2a7c5c6147e05ecc90f6c52a0c https://conda.anaconda.org/conda-forge/noarch/pytest-cov-5.0.0-pyhd8ed1ab_0.conda#c54c0107057d67ddf077751339ec2c63 From 27d4b48a5d870ccc52571b8b9c588f335c583bd1 Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Mon, 7 Oct 2024 17:01:44 +0100 Subject: [PATCH 02/29] Force NumPy v2. --- requirements/locks/py312-linux-64.lock | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements/locks/py312-linux-64.lock b/requirements/locks/py312-linux-64.lock index ec32b03e24..7984d5e1a0 100644 --- a/requirements/locks/py312-linux-64.lock +++ b/requirements/locks/py312-linux-64.lock @@ -263,7 +263,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libass-0.17.3-h1dc1e6a_0.conda#2 https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h135f659_114.conda#a908e463c710bd6b10a9eaa89fdf003c https://conda.anaconda.org/conda-forge/linux-64/libopenvino-2024.4.0-hac27bb2_1.conda#429434cc170fbaad81580539c14d66fe https://conda.anaconda.org/conda-forge/linux-64/libpq-17.0-h04577a9_2.conda#c00807c15530f0cb373a89fd5ead6599 -https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.4-py312heda63a1_0.conda#d8285bea2a350f63fab23bf460221f3f +https://conda.anaconda.org/conda-forge/linux-64/numpy-2.1.2-py312h58c1407_0.conda#b7e9a46277a1ee0afc6311e7760df0c3 https://conda.anaconda.org/conda-forge/linux-64/pango-1.54.0-h4c5309f_1.conda#7df02e445367703cd87a574046e3a6f0 https://conda.anaconda.org/conda-forge/noarch/pbr-6.1.0-pyhd8ed1ab_0.conda#5a166b998fd17cdaaaadaccdd71a363f https://conda.anaconda.org/conda-forge/linux-64/pyproj-3.7.0-py312he630544_0.conda#427799f15b36751761941f4cbd7d780f From ca4e4feef8587c2e1c77bfea24fce81e863f53bc Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Tue, 8 Oct 2024 12:00:18 +0100 Subject: [PATCH 03/29] Store PP LB headers as signed ints (as specified in UMDP F3). --- lib/iris/fileformats/pp.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lib/iris/fileformats/pp.py b/lib/iris/fileformats/pp.py index c2660d022c..f3cdab8026 100644 --- a/lib/iris/fileformats/pp.py +++ b/lib/iris/fileformats/pp.py @@ -1178,7 +1178,7 @@ def save(self, file_handle): data.dtype = data.dtype.newbyteorder(">") # Create the arrays which will hold the header information - lb = np.empty(shape=NUM_LONG_HEADERS, dtype=np.dtype(">u%d" % PP_WORD_DEPTH)) + lb = np.empty(shape=NUM_LONG_HEADERS, dtype=np.dtype(">i%d" % PP_WORD_DEPTH)) b = np.empty(shape=NUM_FLOAT_HEADERS, dtype=np.dtype(">f%d" % PP_WORD_DEPTH)) # Fill in the header elements from the PPField From 887784e824aef0bdb77a7b67e163f6dca8ae1fc3 Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Tue, 8 Oct 2024 13:34:40 +0100 Subject: [PATCH 04/29] Correct PP tuple printing. --- lib/iris/fileformats/pp.py | 21 ++++++++++++++++++--- 1 file changed, 18 insertions(+), 3 deletions(-) diff --git a/lib/iris/fileformats/pp.py b/lib/iris/fileformats/pp.py index f3cdab8026..ce92d4456e 100644 --- a/lib/iris/fileformats/pp.py +++ b/lib/iris/fileformats/pp.py @@ -11,6 +11,7 @@ import os import re import struct +from typing import Any import warnings import cf_units @@ -950,6 +951,21 @@ def t2(self): def __repr__(self): """Return a string representation of the PP field.""" + + def _str_tuple(to_print: Any): + """Print NumPy scalars within tuples as numbers, not np objects. + + E.g. ``lbuser`` is a tuple of NumPy scalars. + + NumPy v2 by default prints ``np.int32(1)`` instead of ``1`` when + printing an iterable of scalars. + """ + if isinstance(to_print, tuple): + result = "(" + ", ".join([str(i) for i in to_print]) + ")" + else: + result = str(to_print) + return result + # Define an ordering on the basic header names attribute_priority_lookup = {name: loc[0] for name, loc in self.HEADER_DEFN} @@ -975,9 +991,8 @@ def __repr__(self): ), ) - return ( - "PP Field" + "".join(["\n %s: %s" % (k, v) for k, v in attributes]) + "\n" - ) + contents = "".join([f"\n {k}: {_str_tuple(v)}" for k, v in attributes]) + return f"PP Field{contents}\n" @property def stash(self): From 51a7ecfe1948f6d8422e0f9dd2594d50d51932bf Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Tue, 8 Oct 2024 15:36:38 +0100 Subject: [PATCH 05/29] NumPy 2 compliant dtype casting in regridding. --- lib/iris/analysis/_regrid.py | 22 +++++++++++++++------- 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/lib/iris/analysis/_regrid.py b/lib/iris/analysis/_regrid.py index 431871de2c..0f375e69f4 100644 --- a/lib/iris/analysis/_regrid.py +++ b/lib/iris/analysis/_regrid.py @@ -156,22 +156,30 @@ def _src_align_and_flatten(coord): # # Wrap modular values (e.g. longitudes) if required. - modulus = sx.units.modulus + _modulus = sx.units.modulus + # Convert to NumPy scalar to enable cast checking. + modulus = np.min_scalar_type(_modulus).type(_modulus) + + def _cast_sx_points(sx_points_: np.ndarray): + """Ensure modulus arithmetic will not raise a TypeError.""" + if not np.can_cast(modulus, sx_points_.dtype): + new_type = np.promote_types(sx_points_.dtype, modulus.dtype) + result = sx_points_.astype(new_type, casting="safe") + else: + result = sx_points_ + return result + if modulus is not None: # Match the source cube x coordinate range to the target grid # cube x coordinate range. min_sx, min_tx = np.min(sx.points), np.min(tx.points) if min_sx < 0 and min_tx >= 0: indices = np.where(sx_points < 0) - # Ensure += doesn't raise a TypeError - if not np.can_cast(modulus, sx_points.dtype): - sx_points = sx_points.astype(type(modulus), casting="safe") + sx_points = _cast_sx_points(sx_points) sx_points[indices] += modulus elif min_sx >= 0 and min_tx < 0: indices = np.where(sx_points > (modulus / 2)) - # Ensure -= doesn't raise a TypeError - if not np.can_cast(modulus, sx_points.dtype): - sx_points = sx_points.astype(type(modulus), casting="safe") + sx_points = _cast_sx_points(sx_points) sx_points[indices] -= modulus # Create target grid cube x and y cell boundaries. From bf549261be3f66c4a8bc8e0df17a3ee156c54b88 Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Tue, 8 Oct 2024 16:14:58 +0100 Subject: [PATCH 06/29] Todo note in What's New. --- docs/src/whatsnew/latest.rst | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/docs/src/whatsnew/latest.rst b/docs/src/whatsnew/latest.rst index 289b096fb8..4f6f910d51 100644 --- a/docs/src/whatsnew/latest.rst +++ b/docs/src/whatsnew/latest.rst @@ -24,6 +24,10 @@ This document explains the changes made to Iris for this release 📢 Announcements ================ +.. todo:: + warn people about changes in NumPy 2. Better data type handling means + some of their Cubes will have different types to before. + #. N/A From 770d1807ff58bbbf12daddbc3bd351402ab34d98 Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Tue, 8 Oct 2024 16:16:14 +0100 Subject: [PATCH 07/29] Accept NumPy 2 avoiding up-casting dtype in integration NetCDF _get_scale_factor_add_offset. --- .../TestPackedData/multi_packed_multi_dtype.cdl | 6 +++--- .../TestPackedData/multi_packed_single_dtype.cdl | 12 ++++++------ .../general/TestPackedData/single_packed_manual.cdl | 4 ++-- .../general/TestPackedData/single_packed_signed.cdl | 4 ++-- .../TestPackedData/single_packed_unsigned.cdl | 2 +- 5 files changed, 14 insertions(+), 14 deletions(-) diff --git a/lib/iris/tests/results/integration/netcdf/general/TestPackedData/multi_packed_multi_dtype.cdl b/lib/iris/tests/results/integration/netcdf/general/TestPackedData/multi_packed_multi_dtype.cdl index 37dafe4745..8a8f481492 100644 --- a/lib/iris/tests/results/integration/netcdf/general/TestPackedData/multi_packed_multi_dtype.cdl +++ b/lib/iris/tests/results/integration/netcdf/general/TestPackedData/multi_packed_multi_dtype.cdl @@ -5,8 +5,8 @@ dimensions: time = 360 ; variables: short air_temperature(time, latitude, longitude) ; - air_temperature:scale_factor = 0.0024257504786326 ; - air_temperature:add_offset = 261.648002426021 ; + air_temperature:scale_factor = 0.00242575f ; + air_temperature:add_offset = 261.648f ; air_temperature:standard_name = "air_temperature" ; air_temperature:units = "K" ; air_temperature:um_stash_source = "m01s03i236" ; @@ -53,7 +53,7 @@ variables: precipitation_flux:grid_mapping = "latitude_longitude" ; precipitation_flux:coordinates = "forecast_period forecast_reference_time" ; ushort air_temperature_0(time, latitude, longitude) ; - air_temperature_0:scale_factor = 0.0020141666756075 ; + air_temperature_0:scale_factor = 0.002014167f ; air_temperature_0:add_offset = 176.7872f ; air_temperature_0:standard_name = "air_temperature" ; air_temperature_0:units = "K" ; diff --git a/lib/iris/tests/results/integration/netcdf/general/TestPackedData/multi_packed_single_dtype.cdl b/lib/iris/tests/results/integration/netcdf/general/TestPackedData/multi_packed_single_dtype.cdl index a3c90bf1f8..3f2c909ce8 100644 --- a/lib/iris/tests/results/integration/netcdf/general/TestPackedData/multi_packed_single_dtype.cdl +++ b/lib/iris/tests/results/integration/netcdf/general/TestPackedData/multi_packed_single_dtype.cdl @@ -5,8 +5,8 @@ dimensions: time = 360 ; variables: short air_temperature(time, latitude, longitude) ; - air_temperature:scale_factor = 0.0024257504786326 ; - air_temperature:add_offset = 261.648002426021 ; + air_temperature:scale_factor = 0.00242575f ; + air_temperature:add_offset = 261.648f ; air_temperature:standard_name = "air_temperature" ; air_temperature:units = "K" ; air_temperature:um_stash_source = "m01s03i236" ; @@ -46,8 +46,8 @@ variables: height:standard_name = "height" ; height:positive = "up" ; short precipitation_flux(time, latitude, longitude) ; - precipitation_flux:scale_factor = 2.9897383798121e-08 ; - precipitation_flux:add_offset = 0.000979677472296829 ; + precipitation_flux:scale_factor = 2.989738e-08f ; + precipitation_flux:add_offset = 0.0009796774f ; precipitation_flux:standard_name = "precipitation_flux" ; precipitation_flux:units = "kg m-2 s-1" ; precipitation_flux:um_stash_source = "m01s05i216" ; @@ -55,8 +55,8 @@ variables: precipitation_flux:grid_mapping = "latitude_longitude" ; precipitation_flux:coordinates = "forecast_period forecast_reference_time" ; short air_temperature_0(time, latitude, longitude) ; - air_temperature_0:scale_factor = 0.0020141666756075 ; - air_temperature_0:add_offset = 242.787445071619 ; + air_temperature_0:scale_factor = 0.002014167f ; + air_temperature_0:add_offset = 242.7874f ; air_temperature_0:standard_name = "air_temperature" ; air_temperature_0:units = "K" ; air_temperature_0:um_stash_source = "m01s03i236" ; diff --git a/lib/iris/tests/results/integration/netcdf/general/TestPackedData/single_packed_manual.cdl b/lib/iris/tests/results/integration/netcdf/general/TestPackedData/single_packed_manual.cdl index fece18b1f3..83e7329575 100644 --- a/lib/iris/tests/results/integration/netcdf/general/TestPackedData/single_packed_manual.cdl +++ b/lib/iris/tests/results/integration/netcdf/general/TestPackedData/single_packed_manual.cdl @@ -4,8 +4,8 @@ dimensions: longitude = 96 ; variables: short air_temperature(latitude, longitude) ; - air_temperature:scale_factor = 0.00119806791576066 ; - air_temperature:add_offset = 267.40062344802 ; + air_temperature:scale_factor = 0.001198068f ; + air_temperature:add_offset = 267.4006f ; air_temperature:standard_name = "air_temperature" ; air_temperature:units = "K" ; air_temperature:um_stash_source = "m01s03i236" ; diff --git a/lib/iris/tests/results/integration/netcdf/general/TestPackedData/single_packed_signed.cdl b/lib/iris/tests/results/integration/netcdf/general/TestPackedData/single_packed_signed.cdl index fece18b1f3..83e7329575 100644 --- a/lib/iris/tests/results/integration/netcdf/general/TestPackedData/single_packed_signed.cdl +++ b/lib/iris/tests/results/integration/netcdf/general/TestPackedData/single_packed_signed.cdl @@ -4,8 +4,8 @@ dimensions: longitude = 96 ; variables: short air_temperature(latitude, longitude) ; - air_temperature:scale_factor = 0.00119806791576066 ; - air_temperature:add_offset = 267.40062344802 ; + air_temperature:scale_factor = 0.001198068f ; + air_temperature:add_offset = 267.4006f ; air_temperature:standard_name = "air_temperature" ; air_temperature:units = "K" ; air_temperature:um_stash_source = "m01s03i236" ; diff --git a/lib/iris/tests/results/integration/netcdf/general/TestPackedData/single_packed_unsigned.cdl b/lib/iris/tests/results/integration/netcdf/general/TestPackedData/single_packed_unsigned.cdl index c85ba6aadd..7b9114309e 100644 --- a/lib/iris/tests/results/integration/netcdf/general/TestPackedData/single_packed_unsigned.cdl +++ b/lib/iris/tests/results/integration/netcdf/general/TestPackedData/single_packed_unsigned.cdl @@ -4,7 +4,7 @@ dimensions: longitude = 96 ; variables: ubyte air_temperature(latitude, longitude) ; - air_temperature:scale_factor = 0.30790345435049 ; + air_temperature:scale_factor = 0.3079035f ; air_temperature:add_offset = 228.1423f ; air_temperature:standard_name = "air_temperature" ; air_temperature:units = "K" ; From 521b9620a4da1e358f1f3cc9bebfb8c97c122066 Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Tue, 8 Oct 2024 16:59:59 +0100 Subject: [PATCH 08/29] Adapt NetCDF _ensure_valid_dtype() for NumPy v2. --- lib/iris/fileformats/netcdf/saver.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/lib/iris/fileformats/netcdf/saver.py b/lib/iris/fileformats/netcdf/saver.py index cfc69143ae..8aa551be57 100644 --- a/lib/iris/fileformats/netcdf/saver.py +++ b/lib/iris/fileformats/netcdf/saver.py @@ -1387,9 +1387,13 @@ def _ensure_valid_dtype(self, values, src_name, src_object): val_min, val_max = (values.min(), values.max()) if is_lazy_data(values): val_min, val_max = _co_realise_lazy_arrays([val_min, val_max]) + # NumPy will inherit values.dtype even if the scalar numbers work + # with a smaller type. + min_dtype = np.promote_types( + *[np.min_scalar_type(m) for m in (val_min, val_max)] + ) # Cast to an integer type supported by netCDF3. - can_cast = all([np.can_cast(m, np.int32) for m in (val_min, val_max)]) - if not can_cast: + if not np.can_cast(min_dtype, np.int32): msg = ( "The data type of {} {!r} is not supported by {} and" " its values cannot be safely cast to a supported" From 041901a42e7a85bdbc81b5eaaf68c55aabfa16f3 Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Tue, 8 Oct 2024 17:50:07 +0100 Subject: [PATCH 09/29] Adapt maths handling of rhs scalar dtype - for NumPy v2. --- lib/iris/analysis/maths.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lib/iris/analysis/maths.py b/lib/iris/analysis/maths.py index bd20b26019..62adf7b638 100644 --- a/lib/iris/analysis/maths.py +++ b/lib/iris/analysis/maths.py @@ -867,7 +867,7 @@ def _binary_op_common( if iris._lazy_data.is_lazy_data(other): rhs = other else: - rhs = np.asanyarray(other) + rhs = np.asanyarray(other, dtype=new_dtype) def unary_func(lhs): data = operation_function(lhs, rhs) From feeb7e29b667544dec7e2c733f8fe6a95dcd5124 Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Tue, 15 Oct 2024 15:41:03 +0100 Subject: [PATCH 10/29] Accept regrid KGO changes from changes to NumPy scalar arithmetic dtypes. --- ..._area_weighted_rectilinear_src_and_grid.py | 6 +- .../const_lat_cross_section.cml | 133 ++-- .../const_lat_cross_section.data.0.json | 2 +- .../const_lon_cross_section.cml | 84 +-- .../hybridheight.cml | 599 +++++++++--------- .../hybridheight.data.0.json | 2 +- 6 files changed, 412 insertions(+), 414 deletions(-) diff --git a/lib/iris/tests/experimental/regrid/test_regrid_area_weighted_rectilinear_src_and_grid.py b/lib/iris/tests/experimental/regrid/test_regrid_area_weighted_rectilinear_src_and_grid.py index 68fa47f25c..0727b3c36e 100644 --- a/lib/iris/tests/experimental/regrid/test_regrid_area_weighted_rectilinear_src_and_grid.py +++ b/lib/iris/tests/experimental/regrid/test_regrid_area_weighted_rectilinear_src_and_grid.py @@ -319,7 +319,7 @@ def test_regrid_reorder_axis(self): dest = _resampled_grid(self.realistic_cube[0, 0, :3, :2], 3, 3) res = regrid_area_weighted(src, dest) self.assertArrayShapeStats(src, (4, 3, 2), 288.08868, 0.008262919) - self.assertArrayShapeStats(res, (4, 9, 6), 288.08865, 0.00826281) + self.assertArrayShapeStats(res, (4, 9, 6), 288.0886, 0.008271061) # Reshape src so that the coords are ordered [x, z, y], # the mean and std statistics should be the same data = np.moveaxis(src.data.copy(), 2, 0) @@ -329,7 +329,7 @@ def test_regrid_reorder_axis(self): src.add_dim_coord(lon, 0) res = regrid_area_weighted(src, dest) self.assertArrayShapeStats(src, (2, 4, 3), 288.08868, 0.008262919) - self.assertArrayShapeStats(res, (6, 4, 9), 288.08865, 0.00826281) + self.assertArrayShapeStats(res, (6, 4, 9), 288.0886, 0.008271061) # Reshape src so that the coords are ordered [y, x, z], # the mean and std statistics should be the same data = np.moveaxis(src.data.copy(), 2, 0) @@ -340,7 +340,7 @@ def test_regrid_reorder_axis(self): dest = _resampled_grid(self.realistic_cube[0, 0, :3, :2], 3, 3) res = regrid_area_weighted(src, dest) self.assertArrayShapeStats(src, (3, 2, 4), 288.08868, 0.008262919) - self.assertArrayShapeStats(res, (9, 6, 4), 288.08865, 0.00826281) + self.assertArrayShapeStats(res, (9, 6, 4), 288.0886, 0.008271061) def test_regrid_lon_to_half_res(self): src = self.simple_cube diff --git a/lib/iris/tests/results/experimental/regrid/regrid_area_weighted_rectilinear_src_and_grid/const_lat_cross_section.cml b/lib/iris/tests/results/experimental/regrid/regrid_area_weighted_rectilinear_src_and_grid/const_lat_cross_section.cml index a0ed65bd29..9cfffb1342 100644 --- a/lib/iris/tests/results/experimental/regrid/regrid_area_weighted_rectilinear_src_and_grid/const_lat_cross_section.cml +++ b/lib/iris/tests/results/experimental/regrid/regrid_area_weighted_rectilinear_src_and_grid/const_lat_cross_section.cml @@ -6,54 +6,54 @@ - + [408.6315 , 447.17175], + [389.76822, 428.3958 ], + [363.19095, 401.94156]]]" id="9041e969" points="[[372.6527 , 377.71793, 374.74316, ..., + 323.53378, 304.47693, 277.62692], + [388.6133 , 393.66876, 390.69974, ..., + 339.5887 , 320.56845, 293.77 ], + [410.95926, 416.00113, 413.04007, ..., + 362.0666 , 343.0975 , 316.37115], + [439.6917 , 444.7161 , 441.76532, ..., + 390.96838, 372.065 , 345.4312 ], + [474.81216, 479.81528, 476.87698, ..., + 426.2954 , 407.4722 , 380.95132]]" shape="(5, 18)" standard_name="altitude" units="Unit('m')" value_type="float32"> @@ -68,29 +68,28 @@ - + @@ -122,11 +121,11 @@ 0.98717135]" shape="(5,)" units="Unit('1')" value_type="float32"/> - + diff --git a/lib/iris/tests/results/experimental/regrid/regrid_area_weighted_rectilinear_src_and_grid/const_lat_cross_section.data.0.json b/lib/iris/tests/results/experimental/regrid/regrid_area_weighted_rectilinear_src_and_grid/const_lat_cross_section.data.0.json index 0c2b277ef0..138bdc6711 100644 --- a/lib/iris/tests/results/experimental/regrid/regrid_area_weighted_rectilinear_src_and_grid/const_lat_cross_section.data.0.json +++ b/lib/iris/tests/results/experimental/regrid/regrid_area_weighted_rectilinear_src_and_grid/const_lat_cross_section.data.0.json @@ -1 +1 @@ -{"std": 0.04919414967298508, "min": 287.8340148925781, "max": 288.0903625488281, "shape": [5, 18], "masked": false, "mean": 288.0065002441406} \ No newline at end of file +{"std": 0.04917990416288376, "min": 287.8338317871094, "max": 288.0901794433594, "shape": [5, 18], "masked": false, "mean": 288.00640869140625} \ No newline at end of file diff --git a/lib/iris/tests/results/experimental/regrid/regrid_area_weighted_rectilinear_src_and_grid/const_lon_cross_section.cml b/lib/iris/tests/results/experimental/regrid/regrid_area_weighted_rectilinear_src_and_grid/const_lon_cross_section.cml index efe8c37e2c..41cec442aa 100644 --- a/lib/iris/tests/results/experimental/regrid/regrid_area_weighted_rectilinear_src_and_grid/const_lon_cross_section.cml +++ b/lib/iris/tests/results/experimental/regrid/regrid_area_weighted_rectilinear_src_and_grid/const_lon_cross_section.cml @@ -7,58 +7,58 @@ + [473.80203, 512.0405 ]]]" id="9041e969" points="[[389.81168, 380.65045, 338.00278, 295.5282 , + 278.92233, 280.889 , 327.14603, 342.9571 , + 368.6561 , 404.0448 , 416.55072, 389.3731 ], + [405.73932, 396.59567, 354.0299 , 311.6369 , + 295.06293, 297.02582, 343.194 , 358.9747 , + 384.62436, 419.9451 , 432.427 , 405.30157], + [428.03918, 418.92017, 376.4689 , 334.19 , + 317.6606 , 319.61823, 365.66217, 381.40042, + 406.98105, 442.20676, 454.65506, 427.6026 ], + [456.71246, 447.62503, 405.32083, 363.18835, + 346.71622, 348.66705, 394.5515 , 410.23526, + 435.72726, 470.83096, 483.23618, 456.2774 ], + [491.76077, 482.71185, 440.587 , 398.63315, + 382.23087, 384.17343, 429.86337, 445.4806 , + 470.86453, 505.8194 , 518.172 , 491.32755]]" shape="(5, 12)" standard_name="altitude" units="Unit('m')" value_type="float32"> @@ -68,8 +68,8 @@ - + -0.1185 , -0.11700001, -0.1155 , + -0.11400001, -0.11250001, -0.11100001]" shape="(12,)" standard_name="grid_latitude" units="Unit('degrees')" value_type="float32"> @@ -119,9 +119,9 @@ 0.98717135]" shape="(5,)" units="Unit('1')" value_type="float32"/> - + diff --git a/lib/iris/tests/results/experimental/regrid/regrid_area_weighted_rectilinear_src_and_grid/hybridheight.cml b/lib/iris/tests/results/experimental/regrid/regrid_area_weighted_rectilinear_src_and_grid/hybridheight.cml index efe348ffcb..f6bf6f86c2 100644 --- a/lib/iris/tests/results/experimental/regrid/regrid_area_weighted_rectilinear_src_and_grid/hybridheight.cml +++ b/lib/iris/tests/results/experimental/regrid/regrid_area_weighted_rectilinear_src_and_grid/hybridheight.cml @@ -6,327 +6,327 @@ - + [600.6252 , 589.63086, 574.741 , ..., + 351.04297, 348.4652 , 337.71198], + [584.26105, 574.0093 , 563.243 , ..., + 335.1148 , 333.11978, 329.5481 ], + [562.93256, 552.1968 , 545.87976, ..., + 329.34094, 327.58188, 325.25644]]]" shape="(5, 16, 21)" standard_name="altitude" units="Unit('m')" value_type="float32"> @@ -336,58 +336,57 @@ - + -0.1175625 , -0.1164375 , -0.11531251, + -0.11418751, -0.11306251, -0.11193752, + -0.11081252]" shape="(16,)" standard_name="grid_latitude" units="Unit('degrees')" value_type="float32"> - + @@ -419,19 +418,19 @@ 0.98717135]" shape="(5,)" units="Unit('1')" value_type="float32"/> - + [495.3127 , 484.17548, 469.0922 , ..., + 242.48706, 239.87582, 228.98285], + [478.73593, 468.3509 , 457.44473, ..., + 226.35193, 224.33096, 220.71288], + [457.13025, 446.25494, 439.85583, ..., + 220.50302, 218.7211 , 216.36543]]" shape="(16, 21)" standard_name="surface_altitude" units="Unit('m')" value_type="float32"/> diff --git a/lib/iris/tests/results/experimental/regrid/regrid_area_weighted_rectilinear_src_and_grid/hybridheight.data.0.json b/lib/iris/tests/results/experimental/regrid/regrid_area_weighted_rectilinear_src_and_grid/hybridheight.data.0.json index bdc0cad306..31ad377de6 100644 --- a/lib/iris/tests/results/experimental/regrid/regrid_area_weighted_rectilinear_src_and_grid/hybridheight.data.0.json +++ b/lib/iris/tests/results/experimental/regrid/regrid_area_weighted_rectilinear_src_and_grid/hybridheight.data.0.json @@ -1 +1 @@ -{"std": 0.10611984878778458, "min": 287.595703125, "max": 288.1650695800781, "shape": [2, 5, 16, 21], "masked": false, "mean": 287.91802978515625} \ No newline at end of file +{"std": 0.10612151026725769, "min": 287.5958251953125, "max": 288.1652526855469, "shape": [2, 5, 16, 21], "masked": false, "mean": 287.91802978515625} \ No newline at end of file From eba1b2012495273e886170360944506ebb8d6158 Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Tue, 15 Oct 2024 16:10:21 +0100 Subject: [PATCH 11/29] Correct FF tuple printing. --- lib/iris/fileformats/_ff.py | 16 +++++++++++++++- 1 file changed, 15 insertions(+), 1 deletion(-) diff --git a/lib/iris/fileformats/_ff.py b/lib/iris/fileformats/_ff.py index 35b4f65bb7..b6b45b8b3c 100644 --- a/lib/iris/fileformats/_ff.py +++ b/lib/iris/fileformats/_ff.py @@ -5,6 +5,7 @@ """Provides UK Met Office Fields File (FF) format specific capabilities.""" import os +from typing import Any import warnings import numpy as np @@ -370,9 +371,22 @@ def __init__(self, filename, word_depth=DEFAULT_FF_WORD_DEPTH): setattr(self, elem, res) def __str__(self): + def _str_tuple(to_print: Any): + """Print NumPy scalars within tuples as numbers, not np objects. + + E.g. ``lookup_table`` is a tuple of NumPy scalars. + NumPy v2 by default prints ``np.int32(1)`` instead of ``1`` when + printing an iterable of scalars. + """ + if isinstance(to_print, tuple): + result = "(" + ", ".join([str(i) for i in to_print]) + ")" + else: + result = str(to_print) + return result + attributes = [] for name, _ in FF_HEADER: - attributes.append(" {}: {}".format(name, getattr(self, name))) + attributes.append(f" {name}: {_str_tuple(getattr(self, name))}") return "FF Header:\n" + "\n".join(attributes) def __repr__(self): From b39cfd19504bdec671703c13794f33d9a2f10caf Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Tue, 15 Oct 2024 16:11:20 +0100 Subject: [PATCH 12/29] More changed NumPy scalar representations. --- lib/iris/tests/integration/fast_load/test_fast_load.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lib/iris/tests/integration/fast_load/test_fast_load.py b/lib/iris/tests/integration/fast_load/test_fast_load.py index 41893ac948..239af35925 100644 --- a/lib/iris/tests/integration/fast_load/test_fast_load.py +++ b/lib/iris/tests/integration/fast_load/test_fast_load.py @@ -375,7 +375,7 @@ def callback(cube, collation, filename): # This is actually a NumPy int32, so honour that here. expected[0].attributes["LBVC"] = np.int32(8) else: - expected[0].attributes["A_LBVC"] = [8, 8] + expected[0].attributes["A_LBVC"] = [np.int32(8)] * 2 self.assertEqual(results, expected) From c7217eb7c64acf84e0288246dd3187a769c5fefa Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Tue, 15 Oct 2024 16:33:40 +0100 Subject: [PATCH 13/29] Accept more changes for NumPy scalar arithmetic dtypes. --- lib/iris/tests/results/FF/air_temperature_1.cml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lib/iris/tests/results/FF/air_temperature_1.cml b/lib/iris/tests/results/FF/air_temperature_1.cml index 99c30075a0..e4e30d5a64 100644 --- a/lib/iris/tests/results/FF/air_temperature_1.cml +++ b/lib/iris/tests/results/FF/air_temperature_1.cml @@ -31,7 +31,7 @@ 32.5, 35. , 37.5, 40. , 42.5, 45. , 47.5, 50. , 52.5, 55. , 57.5, 60. , 62.5, 65. , 67.5, 70. , 72.5, 75. , 77.5, 80. , 82.5, - 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float32"> + 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float64"> From 664f52358244f7f3c7ed08f19e12ec6e447017b8 Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Tue, 15 Oct 2024 16:51:41 +0100 Subject: [PATCH 14/29] Accept NIMROD changes from NumPy scalar aritmetic dtypes. --- .../nimrod/u1096_ng_ek00_soil3d0060_2km.cml | 16 ++++++++-------- .../results/nimrod/u1096_ng_ek00_soil_2km.cml | 8 ++++---- 2 files changed, 12 insertions(+), 12 deletions(-) diff --git a/lib/iris/tests/results/nimrod/u1096_ng_ek00_soil3d0060_2km.cml b/lib/iris/tests/results/nimrod/u1096_ng_ek00_soil3d0060_2km.cml index a58304ccca..236da1cc4a 100644 --- a/lib/iris/tests/results/nimrod/u1096_ng_ek00_soil3d0060_2km.cml +++ b/lib/iris/tests/results/nimrod/u1096_ng_ek00_soil3d0060_2km.cml @@ -1,6 +1,6 @@ - + @@ -44,9 +44,9 @@ - + - + @@ -90,9 +90,9 @@ - + - + @@ -136,9 +136,9 @@ - + - + @@ -182,6 +182,6 @@ - + diff --git a/lib/iris/tests/results/nimrod/u1096_ng_ek00_soil_2km.cml b/lib/iris/tests/results/nimrod/u1096_ng_ek00_soil_2km.cml index bd4c3c1a10..f4945006d1 100644 --- a/lib/iris/tests/results/nimrod/u1096_ng_ek00_soil_2km.cml +++ b/lib/iris/tests/results/nimrod/u1096_ng_ek00_soil_2km.cml @@ -39,7 +39,7 @@ - + @@ -81,9 +81,9 @@ - + - + @@ -125,6 +125,6 @@ - + From 0e03672545bf53997aad530ba77594d848a9163c Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Tue, 15 Oct 2024 17:55:08 +0100 Subject: [PATCH 15/29] Revert "Accept NIMROD changes from NumPy scalar aritmetic dtypes." This reverts commit 664f52358244f7f3c7ed08f19e12ec6e447017b8. --- .../nimrod/u1096_ng_ek00_soil3d0060_2km.cml | 16 ++++++++-------- .../results/nimrod/u1096_ng_ek00_soil_2km.cml | 8 ++++---- 2 files changed, 12 insertions(+), 12 deletions(-) diff --git a/lib/iris/tests/results/nimrod/u1096_ng_ek00_soil3d0060_2km.cml b/lib/iris/tests/results/nimrod/u1096_ng_ek00_soil3d0060_2km.cml index 236da1cc4a..a58304ccca 100644 --- a/lib/iris/tests/results/nimrod/u1096_ng_ek00_soil3d0060_2km.cml +++ b/lib/iris/tests/results/nimrod/u1096_ng_ek00_soil3d0060_2km.cml @@ -1,6 +1,6 @@ - + @@ -44,9 +44,9 @@ - + - + @@ -90,9 +90,9 @@ - + - + @@ -136,9 +136,9 @@ - + - + @@ -182,6 +182,6 @@ - + diff --git a/lib/iris/tests/results/nimrod/u1096_ng_ek00_soil_2km.cml b/lib/iris/tests/results/nimrod/u1096_ng_ek00_soil_2km.cml index f4945006d1..bd4c3c1a10 100644 --- a/lib/iris/tests/results/nimrod/u1096_ng_ek00_soil_2km.cml +++ b/lib/iris/tests/results/nimrod/u1096_ng_ek00_soil_2km.cml @@ -39,7 +39,7 @@ - + @@ -81,9 +81,9 @@ - + - + @@ -125,6 +125,6 @@ - + From e9768571ce2e0ecc05c4c34ad0920f8b243a9a89 Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Tue, 15 Oct 2024 18:06:28 +0100 Subject: [PATCH 16/29] More consistent dtype casting in NIMROD load, plus minor change to known-good-outputs. --- lib/iris/fileformats/nimrod_load_rules.py | 27 ++++++++++++------- .../nimrod/u1096_ng_ek00_convection_2km.cml | 2 +- .../u1096_ng_ek00_relhumidity3d0060_2km.cml | 2 +- 3 files changed, 19 insertions(+), 12 deletions(-) diff --git a/lib/iris/fileformats/nimrod_load_rules.py b/lib/iris/fileformats/nimrod_load_rules.py index 2c0b4334db..4b3987003a 100644 --- a/lib/iris/fileformats/nimrod_load_rules.py +++ b/lib/iris/fileformats/nimrod_load_rules.py @@ -126,10 +126,11 @@ def units(cube, field): "n/a": "1", } + dtype_original = cube.dtype field_units = remove_unprintable_chars(field.units) if field_units == "m/2-25k": # Handle strange visibility units - cube.data = (cube.data.astype(np.float32) + 25000.0) * 2 + cube.data = (cube.data + 25000.0) * 2 field_units = "m" if "*" in field_units: # Split into unit string and integer @@ -137,31 +138,29 @@ def units(cube, field): if "^" in unit_list[1]: # Split out magnitude unit_sublist = unit_list[1].split("^") - cube.data = cube.data.astype(np.float32) / float(unit_sublist[0]) ** float( - unit_sublist[1] - ) + cube.data = cube.data / float(unit_sublist[0]) ** float(unit_sublist[1]) else: - cube.data = cube.data.astype(np.float32) / float(unit_list[1]) + cube.data = cube.data / float(unit_list[1]) field_units = unit_list[0] if "ug/m3E1" in field_units: # Split into unit string and integer unit_list = field_units.split("E") - cube.data = cube.data.astype(np.float32) / 10.0 + cube.data = cube.data / 10.0 field_units = unit_list[0] if field_units == "%": # Convert any percentages into fraction field_units = "1" - cube.data = cube.data.astype(np.float32) / 100.0 + cube.data = cube.data / 100.0 if field_units == "oktas": field_units = "1" - cube.data = cube.data.astype(np.float32) / 8.0 + cube.data = cube.data / 8.0 if field_units == "dBZ": # cf_units doesn't recognise decibels (dBZ), but does know BZ field_units = "BZ" - cube.data = cube.data.astype(np.float32) / 10.0 + cube.data = cube.data / 10.0 if field_units == "g/Kg": field_units = "kg/kg" - cube.data = cube.data.astype(np.float32) / 1000.0 + cube.data = cube.data / 1000.0 if not field_units: if field.field_code == 8: # Relative Humidity data are unitless, but not "unknown" @@ -175,6 +174,14 @@ def units(cube, field): # Deal with the case where the units are of the form '/unit' eg # '/second' in the Nimrod file. This converts to the form unit^-1 field_units = field_units[1:] + "^-1" + + if cube.dtype != dtype_original: + # Original development logic: if any arithmetic takes place, ensure + # the data type is float32 (starts as an int). Unknown why. + # Automatic casting is returning inconsistent types when masks are + # involved, so the new logic is to do the casting as the final step. + cube.data = cube.data.astype(np.float32) + try: cube.units = field_units except ValueError: diff --git a/lib/iris/tests/results/nimrod/u1096_ng_ek00_convection_2km.cml b/lib/iris/tests/results/nimrod/u1096_ng_ek00_convection_2km.cml index 4e3a95118e..cc657e4c97 100644 --- a/lib/iris/tests/results/nimrod/u1096_ng_ek00_convection_2km.cml +++ b/lib/iris/tests/results/nimrod/u1096_ng_ek00_convection_2km.cml @@ -212,7 +212,7 @@ - + diff --git a/lib/iris/tests/results/nimrod/u1096_ng_ek00_relhumidity3d0060_2km.cml b/lib/iris/tests/results/nimrod/u1096_ng_ek00_relhumidity3d0060_2km.cml index 4cfec2d195..9c3cc9f181 100644 --- a/lib/iris/tests/results/nimrod/u1096_ng_ek00_relhumidity3d0060_2km.cml +++ b/lib/iris/tests/results/nimrod/u1096_ng_ek00_relhumidity3d0060_2km.cml @@ -62,6 +62,6 @@ - + From 038f14efac14a48ea9f18078864ffef9ab742d4e Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Tue, 15 Oct 2024 18:12:50 +0100 Subject: [PATCH 17/29] Accept more changes for NumPy scalar arithmetic dtypes. --- lib/iris/tests/results/FF/air_temperature_1.cml | 2 +- lib/iris/tests/results/FF/air_temperature_2.cml | 4 ++-- lib/iris/tests/results/FF/soil_temperature_1.cml | 4 ++-- lib/iris/tests/results/FF/surface_altitude_1.cml | 4 ++-- 4 files changed, 7 insertions(+), 7 deletions(-) diff --git a/lib/iris/tests/results/FF/air_temperature_1.cml b/lib/iris/tests/results/FF/air_temperature_1.cml index e4e30d5a64..e714c1cadc 100644 --- a/lib/iris/tests/results/FF/air_temperature_1.cml +++ b/lib/iris/tests/results/FF/air_temperature_1.cml @@ -37,7 +37,7 @@ + 356.25]" shape="(96,)" standard_name="longitude" units="Unit('degrees')" value_type="float64"> diff --git a/lib/iris/tests/results/FF/air_temperature_2.cml b/lib/iris/tests/results/FF/air_temperature_2.cml index c94604b516..e7bdbff034 100644 --- a/lib/iris/tests/results/FF/air_temperature_2.cml +++ b/lib/iris/tests/results/FF/air_temperature_2.cml @@ -31,13 +31,13 @@ 32.5, 35. , 37.5, 40. , 42.5, 45. , 47.5, 50. , 52.5, 55. , 57.5, 60. , 62.5, 65. , 67.5, 70. , 72.5, 75. , 77.5, 80. , 82.5, - 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float32"> + 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float64"> + 356.25]" shape="(96,)" standard_name="longitude" units="Unit('degrees')" value_type="float64"> diff --git a/lib/iris/tests/results/FF/soil_temperature_1.cml b/lib/iris/tests/results/FF/soil_temperature_1.cml index e014ac6b6f..2804dc39f7 100644 --- a/lib/iris/tests/results/FF/soil_temperature_1.cml +++ b/lib/iris/tests/results/FF/soil_temperature_1.cml @@ -24,13 +24,13 @@ 32.5, 35. , 37.5, 40. , 42.5, 45. , 47.5, 50. , 52.5, 55. , 57.5, 60. , 62.5, 65. , 67.5, 70. , 72.5, 75. , 77.5, 80. , 82.5, - 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float32"> + 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float64"> + 356.25]" shape="(96,)" standard_name="longitude" units="Unit('degrees')" value_type="float64"> diff --git a/lib/iris/tests/results/FF/surface_altitude_1.cml b/lib/iris/tests/results/FF/surface_altitude_1.cml index e64c146e1a..619780b34d 100644 --- a/lib/iris/tests/results/FF/surface_altitude_1.cml +++ b/lib/iris/tests/results/FF/surface_altitude_1.cml @@ -24,13 +24,13 @@ 32.5, 35. , 37.5, 40. , 42.5, 45. , 47.5, 50. , 52.5, 55. , 57.5, 60. , 62.5, 65. , 67.5, 70. , 72.5, 75. , 77.5, 80. , 82.5, - 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float32"> + 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float64"> + 356.25]" shape="(96,)" standard_name="longitude" units="Unit('degrees')" value_type="float64"> From 47ed377cba2668c61f63f87cf1262aa98bb2bf7a Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Tue, 15 Oct 2024 18:19:48 +0100 Subject: [PATCH 18/29] Accept more changes for NumPy scalar arithmetic dtypes. --- .../002000000000.44.101.131200.1920.09.01.00.00.b_0.cml | 2 +- .../from_pp/002000000000.44.101.131200.1920.09.01.00.00.b.cml | 2 +- .../002000000000.44.101.131200.1920.09.01.00.00.b_0.cdl | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/lib/iris/tests/results/usecases/pp_to_cf_conversion/from_netcdf/002000000000.44.101.131200.1920.09.01.00.00.b_0.cml b/lib/iris/tests/results/usecases/pp_to_cf_conversion/from_netcdf/002000000000.44.101.131200.1920.09.01.00.00.b_0.cml index 0b8d1b386a..e32f6cfaca 100644 --- a/lib/iris/tests/results/usecases/pp_to_cf_conversion/from_netcdf/002000000000.44.101.131200.1920.09.01.00.00.b_0.cml +++ b/lib/iris/tests/results/usecases/pp_to_cf_conversion/from_netcdf/002000000000.44.101.131200.1920.09.01.00.00.b_0.cml @@ -38,7 +38,7 @@ 32.5, 35. , 37.5, 40. , 42.5, 45. , 47.5, 50. , 52.5, 55. , 57.5, 60. , 62.5, 65. , 67.5, 70. , 72.5, 75. , 77.5, 80. , 82.5, - 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float32" var_name="latitude"> + 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float64" var_name="latitude"> diff --git a/lib/iris/tests/results/usecases/pp_to_cf_conversion/from_pp/002000000000.44.101.131200.1920.09.01.00.00.b.cml b/lib/iris/tests/results/usecases/pp_to_cf_conversion/from_pp/002000000000.44.101.131200.1920.09.01.00.00.b.cml index 31a571d6f1..be1fa4f474 100644 --- a/lib/iris/tests/results/usecases/pp_to_cf_conversion/from_pp/002000000000.44.101.131200.1920.09.01.00.00.b.cml +++ b/lib/iris/tests/results/usecases/pp_to_cf_conversion/from_pp/002000000000.44.101.131200.1920.09.01.00.00.b.cml @@ -37,7 +37,7 @@ 32.5, 35. , 37.5, 40. , 42.5, 45. , 47.5, 50. , 52.5, 55. , 57.5, 60. , 62.5, 65. , 67.5, 70. , 72.5, 75. , 77.5, 80. , 82.5, - 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float32"> + 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float64"> diff --git a/lib/iris/tests/results/usecases/pp_to_cf_conversion/to_netcdf/002000000000.44.101.131200.1920.09.01.00.00.b_0.cdl b/lib/iris/tests/results/usecases/pp_to_cf_conversion/to_netcdf/002000000000.44.101.131200.1920.09.01.00.00.b_0.cdl index 40ea329140..85e2662f77 100644 --- a/lib/iris/tests/results/usecases/pp_to_cf_conversion/to_netcdf/002000000000.44.101.131200.1920.09.01.00.00.b_0.cdl +++ b/lib/iris/tests/results/usecases/pp_to_cf_conversion/to_netcdf/002000000000.44.101.131200.1920.09.01.00.00.b_0.cdl @@ -18,7 +18,7 @@ variables: depth:units = "m" ; depth:standard_name = "depth" ; depth:positive = "down" ; - float latitude(latitude) ; + double latitude(latitude) ; latitude:axis = "Y" ; latitude:units = "degrees_north" ; latitude:standard_name = "latitude" ; From ecae712172fb78195836ab87c15eba779a4e44fe Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Tue, 15 Oct 2024 18:26:22 +0100 Subject: [PATCH 19/29] Demonstrate new mo_pack version. --- requirements/locks/py312-linux-64.lock | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements/locks/py312-linux-64.lock b/requirements/locks/py312-linux-64.lock index 7984d5e1a0..c0448f88e5 100644 --- a/requirements/locks/py312-linux-64.lock +++ b/requirements/locks/py312-linux-64.lock @@ -293,7 +293,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libopenvino-pytorch-frontend-202 https://conda.anaconda.org/conda-forge/linux-64/libopenvino-tensorflow-frontend-2024.4.0-h9718a47_1.conda#64a184bcd8c0d5a1729cc2bebcda08fa https://conda.anaconda.org/conda-forge/linux-64/libopenvino-tensorflow-lite-frontend-2024.4.0-h5888daf_1.conda#cd13974f5f3103ec2b0ca0283a62fced https://conda.anaconda.org/conda-forge/linux-64/librsvg-2.58.4-hc0ffecb_0.conda#83f045969988f5c7a65f3950b95a8b35 -https://conda.anaconda.org/conda-forge/linux-64/mo_pack-0.3.0-py312h98912ed_1.conda#d5273d1e67b7b3a871a0a711c6532a2f +https://conda.anaconda.org/conda-forge/linux-64/mo_pack-0.3.1-py312h3d0f464_1.conda#27dd413d74a467eb7507a3b23121e0d9 https://conda.anaconda.org/conda-forge/linux-64/netcdf-fortran-4.6.1-nompi_h22f9119_106.conda#5b911bfe75855326bae6857451268e59 https://conda.anaconda.org/conda-forge/linux-64/pandas-2.2.3-py312hf9745cd_1.conda#8bce4f6caaf8c5448c7ac86d87e26b4b https://conda.anaconda.org/conda-forge/linux-64/pykdtree-1.3.13-py312hc0a28a1_1.conda#b4fa8eafe923ac2733001fef8531026f From f3ec8ae8b71d1d15309f07b34ec418b6548addb7 Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Wed, 16 Oct 2024 12:11:29 +0100 Subject: [PATCH 20/29] More thorough use of float32 for mask testing. --- lib/iris/tests/unit/fileformats/pp/test_PPField.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lib/iris/tests/unit/fileformats/pp/test_PPField.py b/lib/iris/tests/unit/fileformats/pp/test_PPField.py index f3aed0bea2..e3d782b156 100644 --- a/lib/iris/tests/unit/fileformats/pp/test_PPField.py +++ b/lib/iris/tests/unit/fileformats/pp/test_PPField.py @@ -98,8 +98,8 @@ def field_checksum(data): def test_masked_mdi_value_warning(self): # Check that an unmasked MDI value raises a warning. field = DummyPPField()._ready_for_save() - field.bmdi = -123.4 # Make float32 data, as float64 default produces an extra warning. + field.bmdi = np.float32(-123.4) field.data = np.ma.masked_array([1.0, field.bmdi, 3.0], dtype=np.float32) msg = "PPField data contains unmasked points" with self.assertWarnsRegex(IrisMaskValueMatchWarning, msg): From 98dd05e599d07562d99ca916fda06137b39e595f Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Wed, 16 Oct 2024 13:27:42 +0100 Subject: [PATCH 21/29] Explicitly use the values of the pandas object in as_cube(). --- lib/iris/pandas.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lib/iris/pandas.py b/lib/iris/pandas.py index dd0f9fec89..f6163fd342 100644 --- a/lib/iris/pandas.py +++ b/lib/iris/pandas.py @@ -173,7 +173,7 @@ def as_cube( # 1.6 doesn't. Since we don't care about preserving the order we can # just force it back to C-order.) order = "C" if copy else "A" - data = np.array(pandas_array, copy=copy, order=order) + data = np.array(pandas_array.values, copy=copy, order=order) cube = Cube(np.ma.masked_invalid(data, copy=False)) _add_iris_coord(cube, "index", pandas_array.index, 0, calendars.get(0, None)) if pandas_array.ndim == 2: From d3954f0efc15a3764c85bb30e5db04fb70b30135 Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Wed, 16 Oct 2024 13:43:28 +0100 Subject: [PATCH 22/29] Cube summary: convert any np.str_ instances to plain strings. --- lib/iris/_representation/cube_summary.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/lib/iris/_representation/cube_summary.py b/lib/iris/_representation/cube_summary.py index a28bfc549a..20d93f1acf 100644 --- a/lib/iris/_representation/cube_summary.py +++ b/lib/iris/_representation/cube_summary.py @@ -47,6 +47,8 @@ def __init__(self, cube, name_padding=35): def string_repr(text, quote_strings=False, clip_strings=False): """Produce a one-line printable form of a text string.""" + # Convert any np.str_ instances to plain strings. + text = str(text) force_quoted = re.findall("[\n\t]", text) or quote_strings if force_quoted: # Replace the string with its repr (including quotes). From 6455bfd60d83578c79ccfaf8b66cbe32b1f558a3 Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Wed, 16 Oct 2024 13:58:51 +0100 Subject: [PATCH 23/29] Unpin NumPy. --- requirements/locks/py310-linux-64.lock | 53 +++++++++++++------------- requirements/locks/py311-linux-64.lock | 53 +++++++++++++------------- requirements/locks/py312-linux-64.lock | 51 +++++++++++++------------ requirements/py310.yml | 2 +- requirements/py311.yml | 2 +- requirements/py312.yml | 2 +- requirements/pypi-core.txt | 2 +- 7 files changed, 84 insertions(+), 81 deletions(-) diff --git a/requirements/locks/py310-linux-64.lock b/requirements/locks/py310-linux-64.lock index d7e899b835..cca8e609d6 100644 --- a/requirements/locks/py310-linux-64.lock +++ b/requirements/locks/py310-linux-64.lock @@ -1,6 +1,6 @@ # Generated by conda-lock. # platform: linux-64 -# input_hash: b08e413455db44ec2f83d952cbc8fd6c635a3fbd734257d5f06633f1f69f6470 +# input_hash: 372c3b278b46d5c658024f7b6b47d7b92266bb7ca5a25b0eb4f67e055b8a02a7 @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-2024.8.30-hbcca054_0.conda#c27d1c142233b5bc9ca570c6e2e0c244 @@ -14,18 +14,18 @@ https://conda.anaconda.org/conda-forge/linux-64/utfcpp-4.0.5-ha770c72_0.conda#25 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2#f766549260d6815b0c52253f1fb1bb29 https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.43-h712a8e2_1.conda#83e1364586ceb8d0739fbc85b5c95837 https://conda.anaconda.org/conda-forge/linux-64/libglvnd-1.7.0-ha4b6fd6_1.conda#1ece2ccb1dc8c68639712b05e0fae070 -https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.1.0-h77fa898_1.conda#23c255b008c4f2ae008f81edcabaca89 +https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.2.0-h77fa898_1.conda#cc3573974587f12dda90d96e3e55a702 https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2#73aaf86a425cc6e73fcf236a5a46396d https://conda.anaconda.org/conda-forge/noarch/fonts-conda-ecosystem-1-0.tar.bz2#fee5683a3f04bd15cbd8318b096a27ab https://conda.anaconda.org/conda-forge/linux-64/libegl-1.7.0-ha4b6fd6_1.conda#38a5cd3be5fb620b48069e27285f1a44 -https://conda.anaconda.org/conda-forge/linux-64/libgcc-14.1.0-h77fa898_1.conda#002ef4463dd1e2b44a94a4ace468f5d2 -https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.1-heb4867d_0.conda#db792eada25e970c46642f624b029fd7 +https://conda.anaconda.org/conda-forge/linux-64/libgcc-14.2.0-h77fa898_1.conda#3cb76c3f10d3bc7f1105b2fc9db984df +https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.2-heb4867d_0.conda#2b780c0338fc0ffa678ac82c54af51fd https://conda.anaconda.org/conda-forge/linux-64/libbrotlicommon-1.1.0-hb9d3cd8_2.conda#41b599ed2b02abcfdd84302bff174b23 https://conda.anaconda.org/conda-forge/linux-64/libdeflate-1.22-hb9d3cd8_0.conda#b422943d5d772b7cc858b36ad2a92db5 https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.3-h5888daf_0.conda#59f4c43bb1b5ef1c71946ff2cbf59524 -https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-14.1.0-h69a702a_1.conda#1efc0ad219877a73ef977af7dbb51f17 -https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-14.1.0-hc5f4f2c_1.conda#10a0cef64b784d6ab6da50ebca4e984d -https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.1.0-hc0a3c3a_1.conda#9dbb9699ea467983ba8a4ba89b08b066 +https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-14.2.0-h69a702a_1.conda#e39480b9ca41323497b05492a63bc35b +https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-14.2.0-hd5240d6_1.conda#9822b874ea29af082e5d36098d25427d +https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.2.0-hc0a3c3a_1.conda#234a5554c53625688d51062645337328 https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda#edb0dca6bc32e4f4789199455a1dbeb8 https://conda.anaconda.org/conda-forge/linux-64/openssl-3.3.2-hb9d3cd8_0.conda#4d638782050ab6faa27275bed57e9b4e https://conda.anaconda.org/conda-forge/linux-64/pthread-stubs-0.4-hb9d3cd8_1002.conda#b3c17d95b5a10c6e64a21fa17573e70e @@ -48,7 +48,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.1.0-hb9d3cd8_2.co https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.1.0-hb9d3cd8_2.conda#06f70867945ea6a84d35836af780f1de https://conda.anaconda.org/conda-forge/linux-64/libev-4.33-hd590300_2.conda#172bf1cd1ff8629f2b1179945ed45055 https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.2-h7f98852_5.tar.bz2#d645c6d2ac96843a2bfaccd2d62b3ac3 -https://conda.anaconda.org/conda-forge/linux-64/libgfortran-14.1.0-h69a702a_1.conda#591e631bc1ae62c64f2ab4f66178c097 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https://conda.anaconda.org/conda-forge/noarch/pbr-6.1.0-pyhd8ed1ab_0.conda#5a166b998fd17cdaaaadaccdd71a363f https://conda.anaconda.org/conda-forge/linux-64/pyproj-3.7.0-py312he630544_0.conda#427799f15b36751761941f4cbd7d780f @@ -294,11 +294,11 @@ https://conda.anaconda.org/conda-forge/linux-64/libopenvino-pytorch-frontend-202 https://conda.anaconda.org/conda-forge/linux-64/libopenvino-tensorflow-frontend-2024.4.0-h9718a47_1.conda#64a184bcd8c0d5a1729cc2bebcda08fa https://conda.anaconda.org/conda-forge/linux-64/libopenvino-tensorflow-lite-frontend-2024.4.0-h5888daf_1.conda#cd13974f5f3103ec2b0ca0283a62fced https://conda.anaconda.org/conda-forge/linux-64/librsvg-2.58.4-hc0ffecb_0.conda#83f045969988f5c7a65f3950b95a8b35 -https://conda.anaconda.org/conda-forge/linux-64/mo_pack-0.3.0-py312h98912ed_1.conda#d5273d1e67b7b3a871a0a711c6532a2f +https://conda.anaconda.org/conda-forge/linux-64/mo_pack-0.3.1-py312h66e93f0_1.conda#5fef67f50126f40f5966a9451661280d https://conda.anaconda.org/conda-forge/linux-64/netcdf-fortran-4.6.1-nompi_ha5d1325_107.conda#5bd5042289ef82196bae48948314cdf9 https://conda.anaconda.org/conda-forge/linux-64/pandas-2.2.3-py312hf9745cd_1.conda#8bce4f6caaf8c5448c7ac86d87e26b4b https://conda.anaconda.org/conda-forge/linux-64/pykdtree-1.3.13-py312hc0a28a1_1.conda#b4fa8eafe923ac2733001fef8531026f -https://conda.anaconda.org/conda-forge/linux-64/pywavelets-1.7.0-py312hc0a28a1_1.conda#4ea67cc3961ad6d805b19a472bcf5604 +https://conda.anaconda.org/conda-forge/linux-64/pywavelets-1.7.0-py312hc0a28a1_2.conda#8300d634adec4a6aed35a87e90e9cb07 https://conda.anaconda.org/conda-forge/linux-64/qt6-main-6.7.3-h6e8976b_1.conda#f3234422a977b5d400ccf503ad55c5d1 https://conda.anaconda.org/conda-forge/linux-64/scipy-1.14.1-py312h7d485d2_0.conda#7418a22e73008356d9aba99d93dfeeee https://conda.anaconda.org/conda-forge/linux-64/shapely-2.0.6-py312h391bc85_2.conda#eb476b4975ea28ac12ff469063a71f5d @@ -334,5 +334,6 @@ https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-applehelp-2.0.0-pyhd https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-devhelp-2.0.0-pyhd8ed1ab_0.conda#b3bcc38c471ebb738854f52a36059b48 https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-htmlhelp-2.1.0-pyhd8ed1ab_0.conda#e25640d692c02e8acfff0372f547e940 https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-qthelp-2.0.0-pyhd8ed1ab_0.conda#d6e5ea5fe00164ac6c2dcc5d76a42192 -https://conda.anaconda.org/conda-forge/noarch/sphinx-8.1.1-pyhd8ed1ab_0.conda#3c9ab72f4df5113dbc33dccb72e663f7 +https://conda.anaconda.org/conda-forge/noarch/sphinx-8.1.3-pyhd8ed1ab_0.conda#05706dd5a145a9c91861495cd435409a https://conda.anaconda.org/conda-forge/noarch/sphinxcontrib-serializinghtml-1.1.10-pyhd8ed1ab_0.conda#e507335cb4ca9cff4c3d0fa9cdab255e + diff --git a/requirements/py310.yml b/requirements/py310.yml index e9246a990e..f7285938f6 100644 --- a/requirements/py310.yml +++ b/requirements/py310.yml @@ -18,7 +18,7 @@ dependencies: - libnetcdf !=4.9.1 - matplotlib-base >=3.5, !=3.9.1 - netcdf4 - - numpy >=1.24, !=1.24.3, <2 + - numpy >=1.24, !=1.24.3 - python-xxhash - pyproj - scipy diff --git a/requirements/py311.yml b/requirements/py311.yml index dad2080efa..e6f5e62a2b 100644 --- a/requirements/py311.yml +++ b/requirements/py311.yml @@ -18,7 +18,7 @@ dependencies: - libnetcdf !=4.9.1 - matplotlib-base >=3.5, !=3.9.1 - netcdf4 - - numpy >=1.24, !=1.24.3, <2 + - numpy >=1.24, !=1.24.3 - python-xxhash - pyproj - scipy diff --git a/requirements/py312.yml b/requirements/py312.yml index 6e1d4be351..b16f25b501 100644 --- a/requirements/py312.yml +++ b/requirements/py312.yml @@ -18,7 +18,7 @@ dependencies: - libnetcdf !=4.9.1 - matplotlib-base >=3.5, !=3.9.1 - netcdf4 - - numpy >=1.24, !=1.24.3, <2 + - numpy >=1.24, !=1.24.3 - python-xxhash - pyproj - scipy diff --git a/requirements/pypi-core.txt b/requirements/pypi-core.txt index 36baaec1b9..208ef7f413 100644 --- a/requirements/pypi-core.txt +++ b/requirements/pypi-core.txt @@ -5,7 +5,7 @@ dask[array]>=2022.9.0,!=2024.8.0 # libnetcdf!=4.9.1 (not available on PyPI) matplotlib>=3.5 netcdf4 -numpy>=1.24,!=1.24.3,<2 +numpy>=1.24,!=1.24.3 pyproj scipy shapely!=1.8.3 From aa5cdff23865207ddf5558ef98df69b1531cf3e1 Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Wed, 16 Oct 2024 14:53:09 +0100 Subject: [PATCH 24/29] Fix doctests. Fix doctests. --- docs/src/further_topics/metadata.rst | 12 ++++++------ docs/src/further_topics/ugrid/operations.rst | 6 +++--- lib/iris/common/resolve.py | 2 ++ lib/iris/coords.py | 4 ++-- lib/iris/pandas.py | 2 +- 5 files changed, 14 insertions(+), 12 deletions(-) diff --git a/docs/src/further_topics/metadata.rst b/docs/src/further_topics/metadata.rst index 6d32b10b7a..f66f253a90 100644 --- a/docs/src/further_topics/metadata.rst +++ b/docs/src/further_topics/metadata.rst @@ -403,10 +403,10 @@ instances. Normally, this would cause issues. For example, >>> simply = {"one": np.int32(1), "two": np.array([1.0, 2.0])} >>> simply - {'one': 1, 'two': array([1., 2.])} + {'one': np.int32(1), 'two': array([1., 2.])} >>> fruity = {"one": np.int32(1), "two": np.array([1.0, 2.0])} >>> fruity - {'one': 1, 'two': array([1., 2.])} + {'one': np.int32(1), 'two': array([1., 2.])} >>> simply == fruity Traceback (most recent call last): ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all() @@ -418,9 +418,9 @@ However, metadata class equality is rich enough to handle this eventuality, >>> metadata1 = cube.metadata._replace(attributes=simply) >>> metadata2 = cube.metadata._replace(attributes=fruity) >>> metadata1 - CubeMetadata(standard_name='air_temperature', long_name=None, var_name='air_temperature', units=Unit('K'), attributes={'one': 1, 'two': array([1., 2.])}, cell_methods=(CellMethod(method='mean', coord_names=('time',), intervals=('6 hour',), comments=()),)) + CubeMetadata(standard_name='air_temperature', long_name=None, var_name='air_temperature', units=Unit('K'), attributes={'one': np.int32(1), 'two': array([1., 2.])}, cell_methods=(CellMethod(method='mean', coord_names=('time',), intervals=('6 hour',), comments=()),)) >>> metadata2 - CubeMetadata(standard_name='air_temperature', long_name=None, var_name='air_temperature', units=Unit('K'), attributes={'one': 1, 'two': array([1., 2.])}, cell_methods=(CellMethod(method='mean', coord_names=('time',), intervals=('6 hour',), comments=()),)) + CubeMetadata(standard_name='air_temperature', long_name=None, var_name='air_temperature', units=Unit('K'), attributes={'one': np.int32(1), 'two': array([1., 2.])}, cell_methods=(CellMethod(method='mean', coord_names=('time',), intervals=('6 hour',), comments=()),)) .. doctest:: richer-metadata @@ -430,10 +430,10 @@ However, metadata class equality is rich enough to handle this eventuality, .. doctest:: richer-metadata >>> metadata1 - CubeMetadata(standard_name='air_temperature', long_name=None, var_name='air_temperature', units=Unit('K'), attributes={'one': 1, 'two': array([1., 2.])}, cell_methods=(CellMethod(method='mean', coord_names=('time',), intervals=('6 hour',), comments=()),)) + CubeMetadata(standard_name='air_temperature', long_name=None, var_name='air_temperature', units=Unit('K'), attributes={'one': np.int32(1), 'two': array([1., 2.])}, cell_methods=(CellMethod(method='mean', coord_names=('time',), intervals=('6 hour',), comments=()),)) >>> metadata2 = cube.metadata._replace(attributes={"one": np.int32(1), "two": np.array([1000.0, 2000.0])}) >>> metadata2 - CubeMetadata(standard_name='air_temperature', long_name=None, var_name='air_temperature', units=Unit('K'), attributes={'one': 1, 'two': array([1000., 2000.])}, cell_methods=(CellMethod(method='mean', coord_names=('time',), intervals=('6 hour',), comments=()),)) + CubeMetadata(standard_name='air_temperature', long_name=None, var_name='air_temperature', units=Unit('K'), attributes={'one': np.int32(1), 'two': array([1000., 2000.])}, cell_methods=(CellMethod(method='mean', coord_names=('time',), intervals=('6 hour',), comments=()),)) >>> metadata1 == metadata2 False diff --git a/docs/src/further_topics/ugrid/operations.rst b/docs/src/further_topics/ugrid/operations.rst index 97dfaaa5b1..14e746352f 100644 --- a/docs/src/further_topics/ugrid/operations.rst +++ b/docs/src/further_topics/ugrid/operations.rst @@ -500,7 +500,7 @@ GeoVista :external+geovista:doc:`generated/gallery/index`. Attributes: NCO 'netCDF Operators version 4.7.5 (Homepage = http://nco.sf.net, Code = h ...' history 'Mon Apr 12 01:44:41 2021: ncap2 -s synthetic=float(synthetic) mesh_C4_synthetic.nc ...' - nco_openmp_thread_number 1 + nco_openmp_thread_number np.int32(1) # Convert our mesh+data to a PolyData object. >>> face_polydata = cube_to_polydata(sample_mesh_cube) @@ -600,7 +600,7 @@ below: Attributes: NCO 'netCDF Operators version 4.7.5 (Homepage = http://nco.sf.net, Code = h ...' history 'Mon Apr 12 01:44:41 2021: ncap2 -s synthetic=float(synthetic) mesh_C4_synthetic.nc ...' - nco_openmp_thread_number 1 + nco_openmp_thread_number np.int32(1) >>> regional_cube = extract_unstructured_region( ... cube=sample_mesh_cube, @@ -619,7 +619,7 @@ below: Attributes: NCO 'netCDF Operators version 4.7.5 (Homepage = http://nco.sf.net, Code = h ...' history 'Mon Apr 12 01:44:41 2021: ncap2 -s synthetic=float(synthetic) mesh_C4_synthetic.nc ...' - nco_openmp_thread_number 1 + nco_openmp_thread_number np.int32(1) Regridding diff --git a/lib/iris/common/resolve.py b/lib/iris/common/resolve.py index 87ad05791b..765a5afef3 100644 --- a/lib/iris/common/resolve.py +++ b/lib/iris/common/resolve.py @@ -122,6 +122,8 @@ class Resolve: import iris import numpy as np from iris.common import Resolve + # See https://github.com/dask/dask/issues/11433 + np.set_printoptions(legacy="1.25") cube1 = iris.load_cube(iris.sample_data_path("A1B_north_america.nc")) cube2 = iris.load_cube(iris.sample_data_path("E1_north_america.nc"))[0] cube2.transpose() diff --git a/lib/iris/coords.py b/lib/iris/coords.py index 8afe9dad41..06a271cbba 100644 --- a/lib/iris/coords.py +++ b/lib/iris/coords.py @@ -2431,9 +2431,9 @@ def nearest_neighbour_index(self, point): >>> cube = iris.load_cube(iris.sample_data_path('ostia_monthly.nc')) >>> cube.coord('latitude').nearest_neighbour_index(0) - 9 + np.int64(9) >>> cube.coord('longitude').nearest_neighbour_index(10) - 12 + np.int64(12) .. note:: If the coordinate contains bounds, these will be used to determine the nearest neighbour instead of the point values. diff --git a/lib/iris/pandas.py b/lib/iris/pandas.py index f6163fd342..78669eceb3 100644 --- a/lib/iris/pandas.py +++ b/lib/iris/pandas.py @@ -308,7 +308,7 @@ def as_cubes( Pandas uses ``NaN`` rather than masking data. Converted :class:`~iris.cube.Cube` can be masked in downstream user code : - >>> my_series = Series([300, np.NaN, 302], name="air_temperature") + >>> my_series = Series([300, np.nan, 302], name="air_temperature") >>> converted_cube = as_cubes(my_series)[0] >>> print(converted_cube.data) [300. nan 302.] From 99061d83843c568324ced2ca9810c47ba0cd1551 Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Wed, 23 Oct 2024 13:31:01 +0100 Subject: [PATCH 25/29] Fix dtype handling in iris.util.regular_points for NumPy v2. --- lib/iris/tests/results/FF/air_temperature_1.cml | 4 ++-- lib/iris/tests/results/FF/air_temperature_2.cml | 4 ++-- lib/iris/tests/results/FF/soil_temperature_1.cml | 4 ++-- lib/iris/tests/results/FF/surface_altitude_1.cml | 4 ++-- ...002000000000.44.101.131200.1920.09.01.00.00.b_0.cml | 2 +- .../002000000000.44.101.131200.1920.09.01.00.00.b.cml | 2 +- ...002000000000.44.101.131200.1920.09.01.00.00.b_0.cdl | 2 +- .../fileformats/pp_load_rules/test__all_other_rules.py | 6 ++++++ lib/iris/util.py | 10 ++++++++-- 9 files changed, 25 insertions(+), 13 deletions(-) diff --git a/lib/iris/tests/results/FF/air_temperature_1.cml b/lib/iris/tests/results/FF/air_temperature_1.cml index e714c1cadc..99c30075a0 100644 --- a/lib/iris/tests/results/FF/air_temperature_1.cml +++ b/lib/iris/tests/results/FF/air_temperature_1.cml @@ -31,13 +31,13 @@ 32.5, 35. , 37.5, 40. , 42.5, 45. , 47.5, 50. , 52.5, 55. , 57.5, 60. , 62.5, 65. , 67.5, 70. , 72.5, 75. , 77.5, 80. , 82.5, - 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float64"> + 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float32"> + 356.25]" shape="(96,)" standard_name="longitude" units="Unit('degrees')" value_type="float32"> diff --git a/lib/iris/tests/results/FF/air_temperature_2.cml b/lib/iris/tests/results/FF/air_temperature_2.cml index e7bdbff034..c94604b516 100644 --- a/lib/iris/tests/results/FF/air_temperature_2.cml +++ b/lib/iris/tests/results/FF/air_temperature_2.cml @@ -31,13 +31,13 @@ 32.5, 35. , 37.5, 40. , 42.5, 45. , 47.5, 50. , 52.5, 55. , 57.5, 60. , 62.5, 65. , 67.5, 70. , 72.5, 75. , 77.5, 80. , 82.5, - 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float64"> + 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float32"> + 356.25]" shape="(96,)" standard_name="longitude" units="Unit('degrees')" value_type="float32"> diff --git a/lib/iris/tests/results/FF/soil_temperature_1.cml b/lib/iris/tests/results/FF/soil_temperature_1.cml index 2804dc39f7..e014ac6b6f 100644 --- a/lib/iris/tests/results/FF/soil_temperature_1.cml +++ b/lib/iris/tests/results/FF/soil_temperature_1.cml @@ -24,13 +24,13 @@ 32.5, 35. , 37.5, 40. , 42.5, 45. , 47.5, 50. , 52.5, 55. , 57.5, 60. , 62.5, 65. , 67.5, 70. , 72.5, 75. , 77.5, 80. , 82.5, - 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float64"> + 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float32"> + 356.25]" shape="(96,)" standard_name="longitude" units="Unit('degrees')" value_type="float32"> diff --git a/lib/iris/tests/results/FF/surface_altitude_1.cml b/lib/iris/tests/results/FF/surface_altitude_1.cml index 619780b34d..e64c146e1a 100644 --- a/lib/iris/tests/results/FF/surface_altitude_1.cml +++ b/lib/iris/tests/results/FF/surface_altitude_1.cml @@ -24,13 +24,13 @@ 32.5, 35. , 37.5, 40. , 42.5, 45. , 47.5, 50. , 52.5, 55. , 57.5, 60. , 62.5, 65. , 67.5, 70. , 72.5, 75. , 77.5, 80. , 82.5, - 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float64"> + 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float32"> + 356.25]" shape="(96,)" standard_name="longitude" units="Unit('degrees')" value_type="float32"> diff --git a/lib/iris/tests/results/usecases/pp_to_cf_conversion/from_netcdf/002000000000.44.101.131200.1920.09.01.00.00.b_0.cml b/lib/iris/tests/results/usecases/pp_to_cf_conversion/from_netcdf/002000000000.44.101.131200.1920.09.01.00.00.b_0.cml index e32f6cfaca..0b8d1b386a 100644 --- a/lib/iris/tests/results/usecases/pp_to_cf_conversion/from_netcdf/002000000000.44.101.131200.1920.09.01.00.00.b_0.cml +++ b/lib/iris/tests/results/usecases/pp_to_cf_conversion/from_netcdf/002000000000.44.101.131200.1920.09.01.00.00.b_0.cml @@ -38,7 +38,7 @@ 32.5, 35. , 37.5, 40. , 42.5, 45. , 47.5, 50. , 52.5, 55. , 57.5, 60. , 62.5, 65. , 67.5, 70. , 72.5, 75. , 77.5, 80. , 82.5, - 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float64" var_name="latitude"> + 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float32" var_name="latitude"> diff --git a/lib/iris/tests/results/usecases/pp_to_cf_conversion/from_pp/002000000000.44.101.131200.1920.09.01.00.00.b.cml b/lib/iris/tests/results/usecases/pp_to_cf_conversion/from_pp/002000000000.44.101.131200.1920.09.01.00.00.b.cml index be1fa4f474..31a571d6f1 100644 --- a/lib/iris/tests/results/usecases/pp_to_cf_conversion/from_pp/002000000000.44.101.131200.1920.09.01.00.00.b.cml +++ b/lib/iris/tests/results/usecases/pp_to_cf_conversion/from_pp/002000000000.44.101.131200.1920.09.01.00.00.b.cml @@ -37,7 +37,7 @@ 32.5, 35. , 37.5, 40. , 42.5, 45. , 47.5, 50. , 52.5, 55. , 57.5, 60. , 62.5, 65. , 67.5, 70. , 72.5, 75. , 77.5, 80. , 82.5, - 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float64"> + 85. , 87.5, 90. ]" shape="(73,)" standard_name="latitude" units="Unit('degrees')" value_type="float32"> diff --git a/lib/iris/tests/results/usecases/pp_to_cf_conversion/to_netcdf/002000000000.44.101.131200.1920.09.01.00.00.b_0.cdl b/lib/iris/tests/results/usecases/pp_to_cf_conversion/to_netcdf/002000000000.44.101.131200.1920.09.01.00.00.b_0.cdl index 85e2662f77..40ea329140 100644 --- a/lib/iris/tests/results/usecases/pp_to_cf_conversion/to_netcdf/002000000000.44.101.131200.1920.09.01.00.00.b_0.cdl +++ b/lib/iris/tests/results/usecases/pp_to_cf_conversion/to_netcdf/002000000000.44.101.131200.1920.09.01.00.00.b_0.cdl @@ -18,7 +18,7 @@ variables: depth:units = "m" ; depth:standard_name = "depth" ; depth:positive = "down" ; - double latitude(latitude) ; + float latitude(latitude) ; latitude:axis = "Y" ; latitude:units = "degrees_north" ; latitude:standard_name = "latitude" ; diff --git a/lib/iris/tests/unit/fileformats/pp_load_rules/test__all_other_rules.py b/lib/iris/tests/unit/fileformats/pp_load_rules/test__all_other_rules.py index aa6b79e9a0..e2c71790b4 100644 --- a/lib/iris/tests/unit/fileformats/pp_load_rules/test__all_other_rules.py +++ b/lib/iris/tests/unit/fileformats/pp_load_rules/test__all_other_rules.py @@ -113,6 +113,9 @@ def test_multiple_unordered_lbprocs(self): x_bounds=None, _x_coord_name=lambda: "longitude", _y_coord_name=lambda: "latitude", + # Not under test but needed for the Mock to play nicely. + bzy=1, + bdy=1, ) res = _all_other_rules(field)[CELL_METHODS_INDEX] expected = [ @@ -133,6 +136,9 @@ def test_multiple_unordered_rotated_lbprocs(self): x_bounds=None, _x_coord_name=lambda: "grid_longitude", _y_coord_name=lambda: "grid_latitude", + # Not under test but needed for the Mock to play nicely. + bzy=1, + bdy=1, ) res = _all_other_rules(field)[CELL_METHODS_INDEX] expected = [ diff --git a/lib/iris/util.py b/lib/iris/util.py index 5781ed8f62..a808087fd8 100644 --- a/lib/iris/util.py +++ b/lib/iris/util.py @@ -1415,10 +1415,16 @@ def regular_points(zeroth, step, count): This function does maintain laziness when called; it doesn't realise data. See more at :doc:`/userguide/real_and_lazy_data`. """ - points = (zeroth + step) + step * np.arange(count, dtype=np.float32) + + def make_steps(dtype: np.dtype): + start = np.add(zeroth, step, dtype=dtype) + steps = np.multiply(step, np.arange(count), dtype=dtype) + return np.add(start, steps, dtype=dtype) + + points = make_steps(np.float32) _, regular = iris.util.points_step(points) if not regular: - points = (zeroth + step) + step * np.arange(count, dtype=np.float64) + points = make_steps(np.float64) return points From 3a809f85024623433efc14b4cbbb51a131153946 Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Wed, 23 Oct 2024 13:38:37 +0100 Subject: [PATCH 26/29] Update lock files. --- requirements/locks/py310-linux-64.lock | 78 ++++++++++++------------- requirements/locks/py311-linux-64.lock | 79 +++++++++++++------------- requirements/locks/py312-linux-64.lock | 79 +++++++++++++------------- 3 files changed, 119 insertions(+), 117 deletions(-) diff --git a/requirements/locks/py310-linux-64.lock b/requirements/locks/py310-linux-64.lock index cca8e609d6..b4f151992d 100644 --- a/requirements/locks/py310-linux-64.lock +++ b/requirements/locks/py310-linux-64.lock @@ -12,7 +12,7 @@ https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.10-5_cp310.conda#29 https://conda.anaconda.org/conda-forge/noarch/tzdata-2024b-hc8b5060_0.conda#8ac3367aafb1cc0a068483c580af8015 https://conda.anaconda.org/conda-forge/linux-64/utfcpp-4.0.5-ha770c72_0.conda#25965c1d1d5fc00ce2b663b73008e3b7 https://conda.anaconda.org/conda-forge/noarch/fonts-conda-forge-1-0.tar.bz2#f766549260d6815b0c52253f1fb1bb29 -https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.43-h712a8e2_1.conda#83e1364586ceb8d0739fbc85b5c95837 +https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.43-h712a8e2_2.conda#048b02e3962f066da18efe3a21b77672 https://conda.anaconda.org/conda-forge/linux-64/libglvnd-1.7.0-ha4b6fd6_1.conda#1ece2ccb1dc8c68639712b05e0fae070 https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.2.0-h77fa898_1.conda#cc3573974587f12dda90d96e3e55a702 https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2#73aaf86a425cc6e73fcf236a5a46396d @@ -57,7 +57,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libogg-1.3.5-h4ab18f5_0.conda#60 https://conda.anaconda.org/conda-forge/linux-64/libopus-1.3.1-h7f98852_1.tar.bz2#15345e56d527b330e1cacbdf58676e8f https://conda.anaconda.org/conda-forge/linux-64/libpciaccess-0.18-hd590300_0.conda#48f4330bfcd959c3cfb704d424903c82 https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.44-hadc24fc_0.conda#f4cc49d7aa68316213e4b12be35308d1 -https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.46.1-hadc24fc_0.conda#36f79405ab16bf271edb55b213836dac +https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.47.0-hadc24fc_0.conda#540296f0ce9d3352188c15a89b30b9ac https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.11.0-h0841786_0.conda#1f5a58e686b13bcfde88b93f547d23fe https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-14.2.0-h4852527_1.conda#8371ac6457591af2cf6159439c1fd051 https://conda.anaconda.org/conda-forge/linux-64/libudunits2-2.2.28-h40f5838_3.conda#4bdace082e911a3e1f1f0b721bed5b56 @@ -90,8 +90,8 @@ https://conda.anaconda.org/conda-forge/linux-64/libdrm-2.4.123-hb9d3cd8_0.conda# https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2#4d331e44109e3f0e19b4cb8f9b82f3e1 https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-14.2.0-h69a702a_1.conda#0a7f4cd238267c88e5d69f7826a407eb https://conda.anaconda.org/conda-forge/linux-64/libmo_unpack-3.1.2-hf484d3e_1001.tar.bz2#95f32a6a5a666d33886ca5627239f03d -https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.58.0-h47da74e_1.conda#700ac6ea6d53d5510591c4344d5c989a -https://conda.anaconda.org/conda-forge/linux-64/libprotobuf-5.27.5-h5b01275_2.conda#66ed3107adbdfc25ba70454ba11e6d1e +https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.64.0-h161d5f1_0.conda#19e57602824042dfd0446292ef90488b +https://conda.anaconda.org/conda-forge/linux-64/libprotobuf-5.28.2-h5b01275_0.conda#ab0bff36363bec94720275a681af8b83 https://conda.anaconda.org/conda-forge/linux-64/libvorbis-1.3.7-h9c3ff4c_0.tar.bz2#309dec04b70a3cc0f1e84a4013683bc0 https://conda.anaconda.org/conda-forge/linux-64/libvpx-1.14.1-hac33072_0.conda#cde393f461e0c169d9ffb2fc70f81c33 https://conda.anaconda.org/conda-forge/linux-64/libzip-1.11.1-hf83b1b0_0.conda#e8536ec89df2aec5f65fefcf4ccd58ba @@ -119,15 +119,15 @@ https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-hef167b5_0.conda#54 https://conda.anaconda.org/conda-forge/linux-64/brotli-1.1.0-hb9d3cd8_2.conda#98514fe74548d768907ce7a13f680e8f https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.14.2-h14ed4e7_0.conda#0f69b688f52ff6da70bccb7ff7001d1d https://conda.anaconda.org/conda-forge/linux-64/krb5-1.21.3-h659f571_0.conda#3f43953b7d3fb3aaa1d0d0723d91e368 -https://conda.anaconda.org/conda-forge/linux-64/libglib-2.82.1-h2ff4ddf_1.conda#23b2601708f7fd71ceb52b4da41cdd66 +https://conda.anaconda.org/conda-forge/linux-64/libglib-2.82.2-h2ff4ddf_0.conda#13e8e54035ddd2b91875ba399f0f7c04 https://conda.anaconda.org/conda-forge/linux-64/libglx-1.7.0-ha4b6fd6_1.conda#80a57756c545ad11f9847835aa21e6b2 -https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.27-pthreads_hac2b453_1.conda#ae05ece66d3924ac3d48b4aa3fa96cec +https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.28-pthreads_h94d23a6_0.conda#9ebc9aedafaa2515ab247ff6bb509458 https://conda.anaconda.org/conda-forge/linux-64/libtheora-1.1.1-h4ab18f5_1006.conda#553281a034e9cf8693c9df49f6c78ea1 https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.7.0-he137b08_1.conda#63872517c98aa305da58a757c443698e https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.12.7-he7c6b58_4.conda#08a9265c637230c37cb1be4a6cad4536 https://conda.anaconda.org/conda-forge/linux-64/mysql-libs-9.0.1-he0572af_1.conda#274f367df5d56f152a49ed3203c3b1c1 https://conda.anaconda.org/conda-forge/linux-64/python-3.10.15-h4a871b0_2_cpython.conda#98059097f62e97be9aed7ec904055825 -https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.46.1-h9eae976_0.conda#b2b3e737da0ae347e16ef1970a5d3f14 +https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.47.0-h9eae976_0.conda#c4cb444844615e1cd4c9d989f770bcc5 https://conda.anaconda.org/conda-forge/noarch/wayland-protocols-1.37-hd8ed1ab_0.conda#73ec79a77d31eb7e4a3276cd246b776c https://conda.anaconda.org/conda-forge/linux-64/xcb-util-image-0.4.0-hb711507_2.conda#a0901183f08b6c7107aab109733a3c91 https://conda.anaconda.org/conda-forge/linux-64/xkeyboard-config-2.43-hb9d3cd8_0.conda#f725c7425d6d7c15e31f3b99a88ea02f @@ -159,7 +159,7 @@ https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.2.2-pyhd8ed1ab_0. https://conda.anaconda.org/conda-forge/noarch/execnet-2.1.1-pyhd8ed1ab_0.conda#15dda3cdbf330abfe9f555d22f66db46 https://conda.anaconda.org/conda-forge/noarch/filelock-3.16.1-pyhd8ed1ab_0.conda#916f8ec5dd4128cd5f207a3c4c07b2c6 https://conda.anaconda.org/conda-forge/linux-64/frozenlist-1.4.1-py310ha75aee5_1.conda#62e8958a19b0417b0b015840d54d6f45 -https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.9.0-pyhff2d567_0.conda#ace4329fbff4c69ab0309db6da182987 +https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.10.0-pyhff2d567_0.conda#816dbc4679a64e4417cd1385d661bb31 https://conda.anaconda.org/conda-forge/linux-64/gdk-pixbuf-2.42.12-hb9ae30d_0.conda#201db6c2d9a3c5e46573ac4cb2e92f4f https://conda.anaconda.org/conda-forge/linux-64/gts-0.7.6-h977cf35_4.conda#4d8df0b0db060d33c9a702ada998a8fe https://conda.anaconda.org/conda-forge/noarch/hpack-4.0.0-pyh9f0ad1d_0.tar.bz2#914d6646c4dbb1fd3ff539830a12fd71 @@ -167,10 +167,10 @@ https://conda.anaconda.org/conda-forge/noarch/hyperframe-6.0.1-pyhd8ed1ab_0.tar. https://conda.anaconda.org/conda-forge/noarch/idna-3.10-pyhd8ed1ab_0.conda#7ba2ede0e7c795ff95088daf0dc59753 https://conda.anaconda.org/conda-forge/noarch/imagesize-1.4.1-pyhd8ed1ab_0.tar.bz2#7de5386c8fea29e76b303f37dde4c352 https://conda.anaconda.org/conda-forge/noarch/iniconfig-2.0.0-pyhd8ed1ab_0.conda#f800d2da156d08e289b14e87e43c1ae5 -https://conda.anaconda.org/conda-forge/noarch/iris-sample-data-2.4.0-pyhd8ed1ab_0.tar.bz2#18ee9c07cf945a33f92caf1ee3d23ad9 +https://conda.anaconda.org/conda-forge/noarch/iris-sample-data-2.5.1-pyhd8ed1ab_0.conda#faf232274689aa60da5a63e7cc5faeb7 https://conda.anaconda.org/conda-forge/linux-64/kiwisolver-1.4.7-py310h3788b33_0.conda#4186d9b4d004b0fe0de6aa62496fb48a https://conda.anaconda.org/conda-forge/linux-64/lcms2-2.16-hb7c19ff_0.conda#51bb7010fc86f70eee639b4bb7a894f5 -https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-24_linux64_openblas.conda#80aea6603a6813b16ec119d00382b772 +https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-25_linux64_openblas.conda#8ea26d42ca88ec5258802715fe1ee10b https://conda.anaconda.org/conda-forge/linux-64/libcups-2.3.3-h4637d8d_4.conda#d4529f4dff3057982a7617c7ac58fde3 https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.10.1-hbbe4b11_0.conda#6e801c50a40301f6978c53976917b277 https://conda.anaconda.org/conda-forge/linux-64/libgd-2.3.3-hd3e95f3_10.conda#30ee3a29c84cf7b842a8c5828c4b7c13 @@ -181,7 +181,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libllvm19-19.1.2-ha7bfdaf_0.cond 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a/lib/iris/coords.py b/lib/iris/coords.py index 06a271cbba..8afe9dad41 100644 --- a/lib/iris/coords.py +++ b/lib/iris/coords.py @@ -2431,9 +2431,9 @@ def nearest_neighbour_index(self, point): >>> cube = iris.load_cube(iris.sample_data_path('ostia_monthly.nc')) >>> cube.coord('latitude').nearest_neighbour_index(0) - np.int64(9) + 9 >>> cube.coord('longitude').nearest_neighbour_index(10) - np.int64(12) + 12 .. note:: If the coordinate contains bounds, these will be used to determine the nearest neighbour instead of the point values. From f5476629870aeee80f8b4b468dca99b83a458971 Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Wed, 23 Oct 2024 13:53:25 +0100 Subject: [PATCH 28/29] Remove dask/dask#11433 workaround. --- lib/iris/common/resolve.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/lib/iris/common/resolve.py b/lib/iris/common/resolve.py index 765a5afef3..87ad05791b 100644 --- a/lib/iris/common/resolve.py +++ b/lib/iris/common/resolve.py @@ -122,8 +122,6 @@ class Resolve: import iris import numpy as np from iris.common import Resolve - # See https://github.com/dask/dask/issues/11433 - np.set_printoptions(legacy="1.25") cube1 = iris.load_cube(iris.sample_data_path("A1B_north_america.nc")) cube2 = iris.load_cube(iris.sample_data_path("E1_north_america.nc"))[0] cube2.transpose() From 85410ba2091b9b7fad094bc20a683897565edcde Mon Sep 17 00:00:00 2001 From: Martin Yeo Date: Wed, 23 Oct 2024 14:19:45 +0100 Subject: [PATCH 29/29] What's New entry. --- docs/src/whatsnew/latest.rst | 20 ++++++++++++++------ 1 file changed, 14 insertions(+), 6 deletions(-) diff --git a/docs/src/whatsnew/latest.rst b/docs/src/whatsnew/latest.rst index efbb1a8763..1ef00079e3 100644 --- a/docs/src/whatsnew/latest.rst +++ b/docs/src/whatsnew/latest.rst @@ -24,11 +24,8 @@ This document explains the changes made to Iris for this release 📢 Announcements ================ -.. todo:: - warn people about changes in NumPy 2. Better data type handling means - some of their Cubes will have different types to before. - -#. N/A +#. Iris is now compliant with NumPy v2. This may affect your scripts. + :ref:`See the full What's New entry for more details `. ✨ Features @@ -96,7 +93,15 @@ This document explains the changes made to Iris for this release 🔗 Dependencies =============== -#. N/A +.. _numpy2: + +#. `@trexfeathers`_ adapted the Iris codebase to work with NumPy v2. The + `NumPy v2 full release notes`_ have the exhaustive details. Notable + changes that may affect your Iris scripts are below. (:pull:`6035`) + + * `NumPy v2 changed data type promotion`_ + + * `NumPy v2 changed scalar printing`_ 📚 Documentation @@ -126,3 +131,6 @@ This document explains the changes made to Iris for this release Whatsnew resources in alphabetical order: .. _cartopy#2390: https://github.com/SciTools/cartopy/issues/2390 +.. _NumPy v2 changed data type promotion: https://numpy.org/doc/stable/numpy_2_0_migration_guide.html#changes-to-numpy-data-type-promotion +.. _NumPy v2 changed scalar printing: https://numpy.org/doc/stable/release/2.0.0-notes.html#representation-of-numpy-scalars-changed +.. _NumPy v2 full release notes: https://numpy.org/doc/stable/release/2.0.0-notes.html