diff --git a/benchmarks/benchmarks/generate_data/um_files.py b/benchmarks/benchmarks/generate_data/um_files.py
index 40bf83e79c..e2bab6b274 100644
--- a/benchmarks/benchmarks/generate_data/um_files.py
+++ b/benchmarks/benchmarks/generate_data/um_files.py
@@ -22,12 +22,22 @@ def _create_um_files(
     from tempfile import NamedTemporaryFile
 
     from mule import ArrayDataProvider, Field3, FieldsFile
+    import mule.ff
     from mule.pp import fields_to_pp_file
     import numpy as np
 
     from iris import load_cube
     from iris import save as save_cube
 
+    def to_bytes_patch(self, field):
+        data = field.get_data()
+        dtype = mule.ff._DATA_DTYPES[self.WORD_SIZE][field.lbuser1]
+        data = data.astype(dtype)
+        return data.tobytes(), data.size
+
+    # TODO: remove this patch when fixed in mule, see https://github.com/MetOffice/simulation-systems/discussions/389
+    mule.ff._WriteFFOperatorUnpacked.to_bytes = to_bytes_patch
+
     template = {
         "fixed_length_header": {"dataset_type": 3, "grid_staggering": 3},
         "integer_constants": {
diff --git a/docs/src/whatsnew/latest.rst b/docs/src/whatsnew/latest.rst
index 909ef18bcc..cb7c09a931 100644
--- a/docs/src/whatsnew/latest.rst
+++ b/docs/src/whatsnew/latest.rst
@@ -59,6 +59,9 @@ This document explains the changes made to Iris for this release
 #. `@schlunma`_ fixed loading of netCDF files with coordinates that have
    non-string units. (:issue:`6505`, :pull:`6506`)
 
+#. `@stephenworsley`_ fixed incompatibilities with numpy v2.3 affecting arrays of dates and
+   array printing. (:pull:`6518`)
+
 💣 Incompatible Changes
 =======================
 
diff --git a/lib/iris/common/mixin.py b/lib/iris/common/mixin.py
index dae10abc9b..cc4aecf770 100644
--- a/lib/iris/common/mixin.py
+++ b/lib/iris/common/mixin.py
@@ -203,7 +203,7 @@ def _round(date):
             warnings.warn(message, category=FutureWarning)
 
             if hasattr(result, "shape"):
-                vfunc = np.vectorize(_round)
+                vfunc = np.frompyfunc(_round, 1, 1)
                 result = vfunc(result)
             else:
                 result = _round(result)
diff --git a/lib/iris/common/resolve.py b/lib/iris/common/resolve.py
index c4bc18309b..49df0e66e6 100644
--- a/lib/iris/common/resolve.py
+++ b/lib/iris/common/resolve.py
@@ -2358,7 +2358,7 @@ def cube(self, data, in_place=False):
             >>> resolver.map_rhs_to_lhs
             True
             >>> cube1.data.sum()
-            np.float32(124652160.0)
+            np.float32(1.2465214e+08)
             >>> zeros.shape
             (240, 37, 49)
             >>> zeros.sum()
diff --git a/lib/iris/cube.py b/lib/iris/cube.py
index be8ddcfc47..d75b43b6c8 100644
--- a/lib/iris/cube.py
+++ b/lib/iris/cube.py
@@ -162,18 +162,19 @@ def insert(self, index, cube):
 
     def xml(self, checksum=False, order=True, byteorder=True):
         """Return a string of the XML that this list of cubes represents."""
-        doc = Document()
-        cubes_xml_element = doc.createElement("cubes")
-        cubes_xml_element.setAttribute("xmlns", XML_NAMESPACE_URI)
-
-        for cube_obj in self:
-            cubes_xml_element.appendChild(
-                cube_obj._xml_element(
-                    doc, checksum=checksum, order=order, byteorder=byteorder
+        with np.printoptions(legacy="2.2"):
+            doc = Document()
+            cubes_xml_element = doc.createElement("cubes")
+            cubes_xml_element.setAttribute("xmlns", XML_NAMESPACE_URI)
+
+            for cube_obj in self:
+                cubes_xml_element.appendChild(
+                    cube_obj._xml_element(
+                        doc, checksum=checksum, order=order, byteorder=byteorder
+                    )
                 )
-            )
 
-        doc.appendChild(cubes_xml_element)
+            doc.appendChild(cubes_xml_element)
 
         # return our newly created XML string
         doc = Cube._sort_xml_attrs(doc)
@@ -3864,17 +3865,18 @@ def xml(
         byteorder: bool = True,
     ) -> str:
         """Return a fully valid CubeML string representation of the Cube."""
-        doc = Document()
+        with np.printoptions(legacy="2.2"):
+            doc = Document()
 
-        cube_xml_element = self._xml_element(
-            doc, checksum=checksum, order=order, byteorder=byteorder
-        )
-        cube_xml_element.setAttribute("xmlns", XML_NAMESPACE_URI)
-        doc.appendChild(cube_xml_element)
+            cube_xml_element = self._xml_element(
+                doc, checksum=checksum, order=order, byteorder=byteorder
+            )
+            cube_xml_element.setAttribute("xmlns", XML_NAMESPACE_URI)
+            doc.appendChild(cube_xml_element)
 
-        # Print our newly created XML
-        doc = self._sort_xml_attrs(doc)
-        return iris.util._print_xml(doc)
+            # Print our newly created XML
+            doc = self._sort_xml_attrs(doc)
+            return iris.util._print_xml(doc)
 
     def _xml_element(self, doc, checksum=False, order=True, byteorder=True):
         cube_xml_element = doc.createElement("cube")
diff --git a/lib/iris/tests/_shared_utils.py b/lib/iris/tests/_shared_utils.py
index 992f70d1e0..052eef2cd2 100644
--- a/lib/iris/tests/_shared_utils.py
+++ b/lib/iris/tests/_shared_utils.py
@@ -451,6 +451,15 @@ def assert_text_file(source_filename, reference_filename, desc="text file"):
 
 def assert_data_almost_equal(data, reference_filename, **kwargs):
     reference_path = get_result_path(reference_filename)
+
+    def fixed_std(data):
+        # When data is constant, std() is too sensitive.
+        if data.max() == data.min():
+            data_std = 0
+        else:
+            data_std = data.std()
+        return data_std
+
     if _check_reference_file(reference_path):
         kwargs.setdefault("err_msg", "Reference file %s" % reference_path)
         with open(reference_path, "r") as reference_file:
@@ -470,7 +479,7 @@ def assert_data_almost_equal(data, reference_filename, **kwargs):
                 assert math.isnan(data.mean())
             else:
                 data_stats = np.array(
-                    (data.mean(), data.std(), data.max(), data.min()),
+                    (data.mean(), fixed_std(data), data.max(), data.min()),
                     dtype=np.float64,
                 )
                 assert_array_all_close(nstats, data_stats, **kwargs)
@@ -478,7 +487,7 @@ def assert_data_almost_equal(data, reference_filename, **kwargs):
         _ensure_folder(reference_path)
         stats = collections.OrderedDict(
             [
-                ("std", np.float64(data.std())),
+                ("std", np.float64(fixed_std(data))),
                 ("min", np.float64(data.min())),
                 ("max", np.float64(data.max())),
                 ("shape", data.shape),
diff --git a/lib/iris/tests/results/analysis/calculus/handmade2_wrt_lon.data.0.json b/lib/iris/tests/results/analysis/calculus/handmade2_wrt_lon.data.0.json
index 325c7d9d0c..c84f7adbe7 100644
--- a/lib/iris/tests/results/analysis/calculus/handmade2_wrt_lon.data.0.json
+++ b/lib/iris/tests/results/analysis/calculus/handmade2_wrt_lon.data.0.json
@@ -1 +1 @@
-{"std": 9.5367431640625e-07, "min": 11.111110687255859, "max": 11.111110687255859, "shape": [49, 50], "masked": false, "mean": 11.111111640930176}
\ No newline at end of file
+{"std": 0.0, "min": 11.111110687255859, "max": 11.111110687255859, "shape": [49, 50], "masked": false, "mean": 11.111111640930176}
\ No newline at end of file
diff --git a/lib/iris/tests/results/analysis/hmean_latitude_longitude.data.0.json b/lib/iris/tests/results/analysis/hmean_latitude_longitude.data.0.json
index 9007f1fdf7..417af0a47c 100644
--- a/lib/iris/tests/results/analysis/hmean_latitude_longitude.data.0.json
+++ b/lib/iris/tests/results/analysis/hmean_latitude_longitude.data.0.json
@@ -1 +1 @@
-{"std": 1.9073486328125e-06, "min": 10288680426.032187, "max": 10288680426.032187, "shape": [10], "masked": false, "mean": 10288680426.032185}
\ No newline at end of file
+{"std": 0.0, "min": 10288680426.032187, "max": 10288680426.032187, "shape": [10], "masked": false, "mean": 10288680426.032185}
\ No newline at end of file
diff --git a/lib/iris/tests/results/analysis/variance_latitude_longitude.data.0.json b/lib/iris/tests/results/analysis/variance_latitude_longitude.data.0.json
index 176e8d427e..85bdeeaa50 100644
--- a/lib/iris/tests/results/analysis/variance_latitude_longitude.data.0.json
+++ b/lib/iris/tests/results/analysis/variance_latitude_longitude.data.0.json
@@ -1 +1 @@
-{"std": 3.0517578125e-05, "min": 214667549910.37509, "max": 214667549910.37509, "shape": [10], "masked": false, "mean": 214667549910.37506}
\ No newline at end of file
+{"std": 0.0, "min": 214667549910.37509, "max": 214667549910.37509, "shape": [10], "masked": false, "mean": 214667549910.37506}
\ No newline at end of file
diff --git a/lib/iris/tests/test_pp_module.py b/lib/iris/tests/test_pp_module.py
index 72ed851275..5db8c70692 100644
--- a/lib/iris/tests/test_pp_module.py
+++ b/lib/iris/tests/test_pp_module.py
@@ -8,6 +8,7 @@
 from types import GeneratorType
 
 import cftime
+import numpy as np
 from numpy.testing import assert_array_equal
 import pytest
 
@@ -63,7 +64,8 @@ def check_pp(self, pp_fields, reference_filename):
         for pp_field in pp_fields:
             pp_field.data
 
-        test_string = str(pp_fields)
+        with np.printoptions(legacy="2.2"):
+            test_string = str(pp_fields)
         reference_path = _shared_utils.get_result_path(reference_filename)
         if os.path.isfile(reference_path):
             with open(reference_path, "r") as reference_fh:
diff --git a/requirements/locks/py311-linux-64.lock b/requirements/locks/py311-linux-64.lock
index 3fca5730c0..2675413e71 100644
--- a/requirements/locks/py311-linux-64.lock
+++ b/requirements/locks/py311-linux-64.lock
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: 2b6dcb79d042b6d443c993e2efcab54170e75cb982e572542a1a289168710623
+# input_hash: 2ab37bb9a0b7ddd216650e61026560917ec230278b2d71d0671ffed30830e199
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81
 https://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2#0c96522c6bdaed4b1566d11387caaf45
@@ -12,10 +12,10 @@ https://conda.anaconda.org/conda-forge/linux-64/nlohmann_json-3.12.0-h3f2d84a_0.
 https://conda.anaconda.org/conda-forge/noarch/python_abi-3.11-7_cp311.conda#6320dac78b3b215ceac35858b2cfdb70
 https://conda.anaconda.org/conda-forge/noarch/tzdata-2025b-h78e105d_0.conda#4222072737ccff51314b5ece9c7d6f5a
 https://conda.anaconda.org/conda-forge/linux-64/utfcpp-4.0.6-h005c6e1_0.conda#9464e297fa2bf08030c65a54342b48c3
-https://conda.anaconda.org/conda-forge/noarch/wayland-protocols-1.44-hd8ed1ab_0.conda#4c33d6dd91f49a0efcc0748fd4d7348b
+https://conda.anaconda.org/conda-forge/noarch/wayland-protocols-1.45-hd8ed1ab_0.conda#6db9be3b67190229479780eeeee1b35b
 https://conda.anaconda.org/conda-forge/noarch/ca-certificates-2025.4.26-hbd8a1cb_0.conda#95db94f75ba080a22eb623590993167b
 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_4.conda#01f8d123c96816249efd255a31ad7712
+https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.43-h712a8e2_5.conda#acd9213a63cb62521290e581ef82de80
 https://conda.anaconda.org/conda-forge/linux-64/libglvnd-1.7.0-ha4b6fd6_2.conda#434ca7e50e40f4918ab701e3facd59a0
 https://conda.anaconda.org/conda-forge/linux-64/libgomp-15.1.0-h767d61c_2.conda#fbe7d535ff9d3a168c148e07358cd5b1
 https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2#73aaf86a425cc6e73fcf236a5a46396d
@@ -54,7 +54,6 @@ https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda#62e
 https://conda.anaconda.org/conda-forge/linux-64/dav1d-1.2.1-hd590300_0.conda#418c6ca5929a611cbd69204907a83995
 https://conda.anaconda.org/conda-forge/linux-64/double-conversion-3.3.1-h5888daf_0.conda#bfd56492d8346d669010eccafe0ba058
 https://conda.anaconda.org/conda-forge/linux-64/epoxy-1.5.10-h166bdaf_1.tar.bz2#a089d06164afd2d511347d3f87214e0b
-https://conda.anaconda.org/conda-forge/linux-64/expat-2.7.0-h5888daf_0.conda#d6845ae4dea52a2f90178bf1829a21f8
 https://conda.anaconda.org/conda-forge/linux-64/fribidi-1.0.10-h36c2ea0_0.tar.bz2#ac7bc6a654f8f41b352b38f4051135f8
 https://conda.anaconda.org/conda-forge/linux-64/geos-3.13.1-h97f6797_0.conda#5bc18c66111bc94532b0d2df00731c66
 https://conda.anaconda.org/conda-forge/linux-64/jsoncpp-1.9.6-hf42df4d_1.conda#7bdc5e2cc11cb0a0f795bdad9732b0f2
@@ -79,16 +78,16 @@ https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.50.1-hee588c1_0.cond
 https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.11.1-hcf80075_0.conda#eecce068c7e4eddeb169591baac20ac4
 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-15.1.0-h4852527_2.conda#9d2072af184b5caa29492bf2344597bb
 https://conda.anaconda.org/conda-forge/linux-64/libudunits2-2.2.28-h40f5838_3.conda#4bdace082e911a3e1f1f0b721bed5b56
-https://conda.anaconda.org/conda-forge/linux-64/liburing-2.9-h84d6215_0.conda#ecd409e7bfcf4ee73f74d7a2cc91a4c3
+https://conda.anaconda.org/conda-forge/linux-64/liburing-2.10-h84d6215_0.conda#1a11973f25f6168f4f6a65883cf7bb2a
 https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.38.1-h0b41bf4_0.conda#40b61aab5c7ba9ff276c41cfffe6b80b
 https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.17.0-h8a09558_0.conda#92ed62436b625154323d40d5f2f11dd7
 https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda#5aa797f8787fe7a17d1b0821485b5adc
 https://conda.anaconda.org/conda-forge/linux-64/lz4-c-1.10.0-h5888daf_1.conda#9de5350a85c4a20c685259b889aa6393
 https://conda.anaconda.org/conda-forge/linux-64/mpg123-1.32.9-hc50e24c_0.conda#c7f302fd11eeb0987a6a5e1f3aed6a21
-https://conda.anaconda.org/conda-forge/linux-64/mysql-common-9.2.0-h266115a_0.conda#db22a0962c953e81a2a679ecb1fc6027
-https://conda.anaconda.org/conda-forge/linux-64/opencl-headers-2024.10.24-h5888daf_0.conda#3ba02cce423fdac1a8582bd6bb189359
+https://conda.anaconda.org/conda-forge/linux-64/mysql-common-9.3.0-h266115a_0.conda#9693774d2822c39a9541f2a80c346e30
+https://conda.anaconda.org/conda-forge/linux-64/opencl-headers-2025.06.13-h5888daf_0.conda#45c3d2c224002d6d0d7769142b29f986
 https://conda.anaconda.org/conda-forge/linux-64/openh264-2.6.0-hc22cd8d_0.conda#b28cf020fd2dead0ca6d113608683842
-https://conda.anaconda.org/conda-forge/linux-64/pixman-0.46.0-h29eaf8c_0.conda#d2f1c87d4416d1e7344cf92b1aaee1c4
+https://conda.anaconda.org/conda-forge/linux-64/pixman-0.46.2-h29eaf8c_0.conda#39b4228a867772d610c02e06f939a5b8
 https://conda.anaconda.org/conda-forge/linux-64/pugixml-1.15-h3f63f65_0.conda#b11a4c6bf6f6f44e5e143f759ffa2087
 https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8c095d6_2.conda#283b96675859b20a825f8fa30f311446
 https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.1-h8bd8927_1.conda#3b3e64af585eadfb52bb90b553db5edf
@@ -123,9 +122,9 @@ https://conda.anaconda.org/conda-forge/linux-64/libunwind-1.6.2-h9c3ff4c_0.tar.b
 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-1.11.2-h6991a6a_0.conda#a7b27c075c9b7f459f1c022090697cba
-https://conda.anaconda.org/conda-forge/linux-64/mysql-libs-9.2.0-he0572af_0.conda#93340b072c393d23c4700a1d40565dca
+https://conda.anaconda.org/conda-forge/linux-64/mysql-libs-9.3.0-he0572af_0.conda#5eb3dd8ccc96213c0961a2bba1f611d1
 https://conda.anaconda.org/conda-forge/linux-64/ocl-icd-2.3.3-hb9d3cd8_0.conda#56f8947aa9d5cf37b0b3d43b83f34192
-https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.44-hc749103_2.conda#31614c73d7b103ef76faa4d83d261d34
+https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.45-hc749103_0.conda#b90bece58b4c2bf25969b70f3be42d25
 https://conda.anaconda.org/conda-forge/linux-64/python-3.11.13-h9e4cc4f_0_cpython.conda#8c399445b6dc73eab839659e6c7b5ad1
 https://conda.anaconda.org/conda-forge/linux-64/qhull-2020.2-h434a139_5.conda#353823361b1d27eb3960efb076dfcaf6
 https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.50.1-h9eae976_0.conda#e12789602c09a875957c1c78ff47cdf6
@@ -151,7 +150,7 @@ https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda#
 https://conda.anaconda.org/conda-forge/noarch/colorcet-3.1.0-pyhd8ed1ab_1.conda#91d7152c744dc0f18ef8beb3cbc9980a
 https://conda.anaconda.org/conda-forge/noarch/cycler-0.12.1-pyhd8ed1ab_1.conda#44600c4667a319d67dbe0681fc0bc833
 https://conda.anaconda.org/conda-forge/linux-64/cyrus-sasl-2.1.27-h54b06d7_7.conda#dce22f70b4e5a407ce88f2be046f4ceb
-https://conda.anaconda.org/conda-forge/linux-64/cython-3.1.1-py311ha3e34f5_1.conda#40cd0c2e1c0ff8bb647b77b12d375ba0
+https://conda.anaconda.org/conda-forge/linux-64/cython-3.1.2-py311ha3e34f5_2.conda#f56da6e1e1f310f27cca558e58882f40
 https://conda.anaconda.org/conda-forge/noarch/distlib-0.3.9-pyhd8ed1ab_1.conda#8d88f4a2242e6b96f9ecff9a6a05b2f1
 https://conda.anaconda.org/conda-forge/noarch/docutils-0.21.2-pyhd8ed1ab_1.conda#24c1ca34138ee57de72a943237cde4cc
 https://conda.anaconda.org/conda-forge/noarch/execnet-2.1.1-pyhd8ed1ab_1.conda#a71efeae2c160f6789900ba2631a2c90
@@ -171,7 +170,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-31_h59b9bed_openbl
 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-8.14.1-h332b0f4_0.conda#45f6713cb00f124af300342512219182
 https://conda.anaconda.org/conda-forge/linux-64/libfreetype-2.13.3-ha770c72_1.conda#51f5be229d83ecd401fb369ab96ae669
-https://conda.anaconda.org/conda-forge/linux-64/libglib-2.84.1-h2ff4ddf_0.conda#0305434da649d4fb48a425e588b79ea6
+https://conda.anaconda.org/conda-forge/linux-64/libglib-2.84.2-h3618099_0.conda#072ab14a02164b7c0c089055368ff776
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@@ -180,7 +179,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.13.8-h4bc477f_0.conda#
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+https://conda.anaconda.org/conda-forge/linux-64/msgpack-python-1.1.1-py311hd18a35c_0.conda#d0898973440adc2ad25917028669126d
 https://conda.anaconda.org/conda-forge/linux-64/multidict-6.4.4-py311h2dc5d0c_0.conda#cf1ae2989d73b0e6d86f2ee7c08d7a9b
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@@ -214,28 +213,28 @@ https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.14.0-pyhe01879
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-https://conda.anaconda.org/conda-forge/linux-64/xkeyboard-config-2.44-hb9d3cd8_0.conda#7c91bfc90672888259675ad2ad28af9c
+https://conda.anaconda.org/conda-forge/linux-64/xkeyboard-config-2.45-hb9d3cd8_0.conda#397a013c2dc5145a70737871aaa87e98
 https://conda.anaconda.org/conda-forge/linux-64/xorg-libxext-1.3.6-hb9d3cd8_0.conda#febbab7d15033c913d53c7a2c102309d
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-https://conda.anaconda.org/conda-forge/linux-64/glib-tools-2.84.1-h4833e2c_0.conda#ddc06964296eee2b4070e65415b332fd
+https://conda.anaconda.org/conda-forge/linux-64/glib-tools-2.84.2-h4833e2c_0.conda#f2ec1facec64147850b7674633978050
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@@ -246,7 +245,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libflac-1.4.3-h59595ed_0.conda#e
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-https://conda.anaconda.org/conda-forge/linux-64/libllvm20-20.1.6-he9d0ab4_0.conda#bf8ccdd2c1c1a54a3fa25bb61f26460e
+https://conda.anaconda.org/conda-forge/linux-64/libllvm20-20.1.7-he9d0ab4_0.conda#63f1accca4913e6b66a2d546c30ff4db
 https://conda.anaconda.org/conda-forge/linux-64/libusb-1.0.29-h73b1eb8_0.conda#d17e3fb595a9f24fa9e149239a33475d
 https://conda.anaconda.org/conda-forge/linux-64/libxkbcommon-1.10.0-h65c71a3_0.conda#fedf6bfe5d21d21d2b1785ec00a8889a
 https://conda.anaconda.org/conda-forge/noarch/nodeenv-1.9.1-pyhd8ed1ab_1.conda#7ba3f09fceae6a120d664217e58fe686
@@ -267,8 +266,8 @@ https://conda.anaconda.org/conda-forge/linux-64/xorg-libxinerama-1.1.5-h5888daf_
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-https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.12.8-py311h2dc5d0c_0.conda#575f5c8cba66e0b332238be31fc8fe2b
+https://conda.anaconda.org/conda-forge/linux-64/yarl-1.20.1-py311h2dc5d0c_0.conda#18c288aa6aae90e2fd8d1cf01d655e4f
+https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.12.12-py311h2dc5d0c_0.conda#0f41db54546a986ff8ee792e02325754
 https://conda.anaconda.org/conda-forge/noarch/asv_runner-0.2.1-pyhd8ed1ab_0.conda#fdcbeb072c80c805a2ededaa5f91cd79
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@@ -280,7 +279,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-nompi_h00e09a9_1
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+https://conda.anaconda.org/conda-forge/linux-64/numpy-2.3.0-py311h519dc76_0.conda#002e600fcc82f415bfaad7d05a44c016
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@@ -303,7 +302,7 @@ https://conda.anaconda.org/conda-forge/linux-64/netcdf-fortran-4.6.1-nompi_h22f9
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-https://conda.anaconda.org/conda-forge/noarch/pytest-cov-6.1.1-pyhd8ed1ab_0.conda#1e35d8f975bc0e984a19819aa91c440a
+https://conda.anaconda.org/conda-forge/noarch/pytest-cov-6.2.1-pyhd8ed1ab_0.conda#ce978e1b9ed8b8d49164e90a5cdc94cd
 https://conda.anaconda.org/conda-forge/noarch/pytest-mock-3.14.1-pyhd8ed1ab_0.conda#11b313328806f1dfbab0eb1d219388c4
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 https://conda.anaconda.org/conda-forge/linux-64/python-stratify-0.3.0-py311h9f3472d_3.conda#a7c4169b1c920361597ddacb461350fd
@@ -334,8 +333,8 @@ https://conda.anaconda.org/conda-forge/linux-64/libopenvino-tensorflow-lite-fron
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-https://conda.anaconda.org/conda-forge/linux-64/sdl3-3.2.14-he3e324a_0.conda#a750ab1e94750185033ea96eadfc925d
+https://conda.anaconda.org/conda-forge/noarch/requests-2.32.4-pyhd8ed1ab_0.conda#f6082eae112814f1447b56a5e1f6ed05
+https://conda.anaconda.org/conda-forge/linux-64/sdl3-3.2.16-he3e324a_0.conda#c3ab38fdbcf36625620c9a4df786320a
 https://conda.anaconda.org/conda-forge/linux-64/cartopy-0.24.0-py311h7db5c69_0.conda#20ba399d57a2b5de789a5b24341481a1
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@@ -343,7 +342,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libass-0.17.3-h52826cd_2.conda#0
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-https://conda.anaconda.org/conda-forge/linux-64/qt6-main-6.8.3-h6441bc3_2.conda#648bb58758f49aea99a48dbe69dcdea2
+https://conda.anaconda.org/conda-forge/linux-64/qt6-main-6.8.3-h75f3359_3.conda#1badcbafab8cefdf2f90432dccbd7b2c
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diff --git a/requirements/locks/py312-linux-64.lock b/requirements/locks/py312-linux-64.lock
index 193c8fd045..d7192bce32 100644
--- a/requirements/locks/py312-linux-64.lock
+++ b/requirements/locks/py312-linux-64.lock
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: d681b241630803f697d5e9b6fa9676acada3ca6dddc5fceae1c3862e485f519e
+# input_hash: bf2a25a17b2c07e25119f33dada708044990c97795a068075294e902de374798
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81
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@@ -12,10 +12,10 @@ https://conda.anaconda.org/conda-forge/linux-64/nlohmann_json-3.12.0-h3f2d84a_0.
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+https://conda.anaconda.org/conda-forge/noarch/wayland-protocols-1.45-hd8ed1ab_0.conda#6db9be3b67190229479780eeeee1b35b
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@@ -54,7 +54,6 @@ https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda#62e
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+https://conda.anaconda.org/conda-forge/noarch/pytest-cov-6.2.1-pyhd8ed1ab_0.conda#ce978e1b9ed8b8d49164e90a5cdc94cd
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@@ -334,8 +333,8 @@ https://conda.anaconda.org/conda-forge/linux-64/libopenvino-tensorflow-lite-fron
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-https://conda.anaconda.org/conda-forge/linux-64/sdl3-3.2.14-he3e324a_0.conda#a750ab1e94750185033ea96eadfc925d
+https://conda.anaconda.org/conda-forge/noarch/requests-2.32.4-pyhd8ed1ab_0.conda#f6082eae112814f1447b56a5e1f6ed05
+https://conda.anaconda.org/conda-forge/linux-64/sdl3-3.2.16-he3e324a_0.conda#c3ab38fdbcf36625620c9a4df786320a
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@@ -343,7 +342,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libass-0.17.3-h52826cd_2.conda#0
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-https://conda.anaconda.org/conda-forge/linux-64/qt6-main-6.8.3-h6441bc3_2.conda#648bb58758f49aea99a48dbe69dcdea2
+https://conda.anaconda.org/conda-forge/linux-64/qt6-main-6.8.3-h75f3359_3.conda#1badcbafab8cefdf2f90432dccbd7b2c
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diff --git a/requirements/locks/py313-linux-64.lock b/requirements/locks/py313-linux-64.lock
index 7ebd0a1a44..deece1d00b 100644
--- a/requirements/locks/py313-linux-64.lock
+++ b/requirements/locks/py313-linux-64.lock
@@ -1,6 +1,6 @@
 # Generated by conda-lock.
 # platform: linux-64
-# input_hash: 9647ac284f93ff42b1239561c944e8342bdb4d367be1bbe78c168ae4751c3588
+# input_hash: 1c3b094e421df3076cd379373be66793051a8f4eb4ab3f4f5c7545ac740d1367
 @EXPLICIT
 https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81
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@@ -12,10 +12,10 @@ https://conda.anaconda.org/conda-forge/linux-64/nlohmann_json-3.12.0-h3f2d84a_0.
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@@ -55,7 +55,6 @@ https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda#62e
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-https://conda.anaconda.org/conda-forge/linux-64/mysql-libs-9.2.0-he0572af_0.conda#93340b072c393d23c4700a1d40565dca
+https://conda.anaconda.org/conda-forge/linux-64/mysql-libs-9.3.0-he0572af_0.conda#5eb3dd8ccc96213c0961a2bba1f611d1
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@@ -150,7 +149,7 @@ https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_1.conda#
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+https://conda.anaconda.org/conda-forge/linux-64/cython-3.1.2-py313h5dec8f5_2.conda#790ba9e115dfa69fde25212a51fe3d30
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@@ -170,7 +169,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-31_h59b9bed_openbl
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+https://conda.anaconda.org/conda-forge/linux-64/msgpack-python-1.1.1-py313h33d0bda_0.conda#009fb5ad03d4506be5f1e5c2f875f1c2
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