[TEAMCITY] Update project dependencies (#1504)

deltares-service-account · Teamcity · JoerivanEngelen · web-flow · commit b63b0b60392f · 2025-04-17T06:51:11.000Z
Teamcity automatically updated the dependencies defined the pixi.toml file. Please verify that all tests succeed before merging # Dependencies <details> <summary>Explicit dependencies</summary> |Dependency[^1]|Before|After|Change|Environments| |-|-|-|-|-| |[**hypothesis**](https://prefix.dev/channels/conda-forge/packages/hypothesis)|6.130.4|6.131.0|Minor Upgrade|{default, interactive} on *all platforms*| |[**ipython**](https://prefix.dev/channels/conda-forge/packages/ipython)|9.0.2|9.1.0|Minor Upgrade|interactive on *all platforms*| |[**numpy**](https://prefix.dev/channels/conda-forge/packages/numpy)|2.1.3|2.2.4|Minor Upgrade|{default, interactive} on *all platforms*| |[**numba**](https://prefix.dev/channels/conda-forge/packages/numba)|0.61.0|0.61.2|Patch Upgrade|{default, interactive} on *all platforms*| |[**pydantic**](https://prefix.dev/channels/conda-forge/packages/pydantic)|2.11.2|2.11.3|Patch Upgrade|{default, interactive} on *all platforms*| |[**python**](https://prefix.dev/channels/conda-forge/packages/python)|3.13.2|3.13.3|Patch Upgrade|{py310, py313} on *all platforms*| |[**python**](https://prefix.dev/channels/conda-forge/packages/python)|3.12.9|3.12.10|Patch Upgrade|py312 on *all platforms*| |[**python**](https://prefix.dev/channels/conda-forge/packages/python)|3.11.11|3.11.12|Patch Upgrade|{default, interactive, py311} on *all platforms*| |[**ruff**](https://prefix.dev/channels/conda-forge/packages/ruff)|0.11.4|0.11.5|Patch Upgrade|{default, interactive} on *all platforms*| |[**pandas**](https://prefix.dev/channels/conda-forge/packages/pandas)|py311hcf9f919_1|py311hcf9f919_3|Only build string|{default, interactive} on win-64| |[**pandas**](https://prefix.dev/channels/conda-forge/packages/pandas)|py311haeb46be_1|py311hcf53e2f_3|Only build string|{default, interactive} on osx-64| |[**pandas**](https://prefix.dev/channels/conda-forge/packages/pandas)|py311h9cb3ce9_1|py311hca32420_3|Only build string|{default, interactive} on osx-arm64| |[**pandas**](https://prefix.dev/channels/conda-forge/packages/pandas)|py311h7db5c69_1|py311h7db5c69_3|Only build string|{default, interactive} on linux-64| </details> <details> <summary>Implicit dependencies</summary> |Dependency[^1]|Before|After|Change|Environments| |-|-|-|-|-| |[pytz](https://prefix.dev/channels/conda-forge/packages/pytz)|2024.1|2025.2|Major Upgrade|{default, interactive} on *all platforms*| |[jupyterlab](https://prefix.dev/channels/conda-forge/packages/jupyterlab)|4.3.6|4.4.0|Minor Upgrade|interactive on *all platforms*| |[libgpg-error](https://prefix.dev/channels/conda-forge/packages/libgpg-error)|1.51|1.53|Minor Upgrade|{default, interactive} on linux-64| |[libopentelemetry-cpp](https://prefix.dev/channels/conda-forge/packages/libopentelemetry-cpp)|1.19.0|1.20.0|Minor Upgrade|{default, interactive} on {linux-64, osx-64, osx-arm64}| |[libopentelemetry-cpp-headers](https://prefix.dev/channels/conda-forge/packages/libopentelemetry-cpp-headers)|1.19.0|1.20.0|Minor Upgrade|{default, interactive} on {linux-64, osx-64, osx-arm64}| |[libopus](https://prefix.dev/channels/conda-forge/packages/libopus)|1.3.1|1.5.2|Minor Upgrade|{default, interactive} on *all platforms*| |[mysql-common](https://prefix.dev/channels/conda-forge/packages/mysql-common)|9.0.1|9.2.0|Minor Upgrade|{default, interactive} on {linux-64, osx-64, osx-arm64}| |[mysql-libs](https://prefix.dev/channels/conda-forge/packages/mysql-libs)|9.0.1|9.2.0|Minor Upgrade|{default, interactive} on {linux-64, osx-64, osx-arm64}| |[narwhals](https://prefix.dev/channels/conda-forge/packages/narwhals)|1.33.0|1.34.1|Minor Upgrade|{default, interactive} on *all platforms*| |[nlohmann_json](https://prefix.dev/channels/conda-forge/packages/nlohmann_json)|3.11.3|3.12.0|Minor Upgrade|{default, interactive} on *all platforms*| |[notebook](https://prefix.dev/channels/conda-forge/packages/notebook)|7.3.3|7.4.0|Minor Upgrade|interactive on *all platforms*| |[openssl](https://prefix.dev/channels/conda-forge/packages/openssl)|3.4.1|3.5.0|Minor Upgrade|*all*| |[propcache](https://prefix.dev/channels/conda-forge/packages/propcache)|0.2.1|0.3.1|Minor Upgrade|{default, interactive} on *all platforms*| |[trove-classifiers](https://prefix.dev/channels/conda-forge/packages/trove-classifiers)|2025.3.19.19|2025.4.11.15|Minor Upgrade|{default, interactive} on *all platforms*| |[urllib3](https://prefix.dev/channels/conda-forge/packages/urllib3)|2.3.0|2.4.0|Minor Upgrade|{default, interactive} on *all platforms*| |[wayland-protocols](https://prefix.dev/channels/conda-forge/packages/wayland-protocols)|1.42|1.43|Minor Upgrade|{default, interactive} on linux-64| |[c-ares](https://prefix.dev/channels/conda-forge/packages/c-ares)|1.34.4|1.34.5|Patch Upgrade|{default, interactive} on *all platforms*| |[cpython](https://prefix.dev/channels/conda-forge/packages/cpython)|3.13.2|3.13.3|Patch Upgrade|pixi-update on {osx-arm64, win-64}| |[cpython](https://prefix.dev/channels/conda-forge/packages/cpython)|3.11.11|3.11.12|Patch Upgrade|{default, interactive} on *all platforms*| |[debugpy](https://prefix.dev/channels/conda-forge/packages/debugpy)|1.8.13|1.8.14|Patch Upgrade|interactive on *all platforms*| |[harfbuzz](https://prefix.dev/channels/conda-forge/packages/harfbuzz)|11.0.0|11.0.1|Patch Upgrade|{default, interactive} on *all platforms*| |[ipywidgets](https://prefix.dev/channels/conda-forge/packages/ipywidgets)|8.1.5|8.1.6|Patch Upgrade|interactive on *all platforms*| |[jupyterlab_widgets](https://prefix.dev/channels/conda-forge/packages/jupyterlab_widgets)|3.0.13|3.0.14|Patch Upgrade|interactive on *all platforms*| |[level-zero](https://prefix.dev/channels/conda-forge/packages/level-zero)|1.21.8|1.21.9|Patch Upgrade|{default, interactive} on linux-64| |[minizip](https://prefix.dev/channels/conda-forge/packages/minizip)|4.0.7|4.0.9|Patch Upgrade|{default, interactive} on *all platforms*| |[pydantic](https://prefix.dev/channels/conda-forge/packages/pydantic)|2.11.2|2.11.3|Patch Upgrade|pixi-update on *all platforms*| |[python](https://prefix.dev/channels/conda-forge/packages/python)|3.13.2|3.13.3|Patch Upgrade|pixi-update on {osx-arm64, win-64}| |[python](https://prefix.dev/channels/conda-forge/packages/python)|3.12.9|3.12.10|Patch Upgrade|pixi-update on {linux-64, osx-64}| |[python-gil](https://prefix.dev/channels/conda-forge/packages/python-gil)|3.13.2|3.13.3|Patch Upgrade|pixi-update on {osx-arm64, win-64}| |[python-gil](https://prefix.dev/channels/conda-forge/packages/python-gil)|3.11.11|3.11.12|Patch Upgrade|{default, interactive} on *all platforms*| |[typing-extensions](https://prefix.dev/channels/conda-forge/packages/typing-extensions)|4.13.1|4.13.2|Patch Upgrade|{default, interactive, pixi-update} on *all platforms*| |[typing_extensions](https://prefix.dev/channels/conda-forge/packages/typing_extensions)|4.13.1|4.13.2|Patch Upgrade|{default, interactive, pixi-update} on *all platforms*| |[widgetsnbextension](https://prefix.dev/channels/conda-forge/packages/widgetsnbextension)|4.0.13|4.0.14|Patch Upgrade|interactive on *all platforms*| |[_python_abi3_support](https://prefix.dev/channels/conda-forge/packages/_python_abi3_support)|hd8ed1ab_1|hd8ed1ab_2|Only build string|{default, interactive} on *all platforms*<br/>pixi-update on {osx-arm64, win-64}| |[libarrow](https://prefix.dev/channels/conda-forge/packages/libarrow)|hb56cf8f_6_cpu|hf1fce67_7_cpu|Only build string|{default, interactive} on osx-64| |[libarrow](https://prefix.dev/channels/conda-forge/packages/libarrow)|hac3dc41_6_cpu|hd4a375f_7_cpu|Only build string|{default, interactive} on osx-arm64| |[libarrow](https://prefix.dev/channels/conda-forge/packages/libarrow)|h052fb8e_6_cpu|hb90904d_7_cpu|Only build string|{default, interactive} on linux-64| |[libarrow](https://prefix.dev/channels/conda-forge/packages/libarrow)|hb2d35ca_6_cpu|hb2d35ca_7_cpu|Only build string|{default, interactive} on win-64| |[libarrow-acero](https://prefix.dev/channels/conda-forge/packages/libarrow-acero)|hf07054f_6_cpu|hf07054f_7_cpu|Only build string|{default, interactive} on osx-arm64| |[libarrow-acero](https://prefix.dev/channels/conda-forge/packages/libarrow-acero)|hdc53af8_6_cpu|hdc53af8_7_cpu|Only build string|{default, interactive} on osx-64| |[libarrow-acero](https://prefix.dev/channels/conda-forge/packages/libarrow-acero)|hcb10f89_6_cpu|hcb10f89_7_cpu|Only build string|{default, interactive} on linux-64| |[libarrow-acero](https://prefix.dev/channels/conda-forge/packages/libarrow-acero)|h7d8d6a5_6_cpu|h7d8d6a5_7_cpu|Only build string|{default, interactive} on win-64| |[libarrow-dataset](https://prefix.dev/channels/conda-forge/packages/libarrow-dataset)|hf07054f_6_cpu|hf07054f_7_cpu|Only build string|{default, interactive} on osx-arm64| |[libarrow-dataset](https://prefix.dev/channels/conda-forge/packages/libarrow-dataset)|hdc53af8_6_cpu|hdc53af8_7_cpu|Only build string|{default, interactive} on osx-64| |[libarrow-dataset](https://prefix.dev/channels/conda-forge/packages/libarrow-dataset)|hcb10f89_6_cpu|hcb10f89_7_cpu|Only build string|{default, interactive} on linux-64| |[libarrow-dataset](https://prefix.dev/channels/conda-forge/packages/libarrow-dataset)|h7d8d6a5_6_cpu|h7d8d6a5_7_cpu|Only build string|{default, interactive} on win-64| |[libarrow-substrait](https://prefix.dev/channels/conda-forge/packages/libarrow-substrait)|he749cb8_6_cpu|he749cb8_7_cpu|Only build string|{default, interactive} on osx-arm64| |[libarrow-substrait](https://prefix.dev/channels/conda-forge/packages/libarrow-substrait)|hb76e781_6_cpu|hb76e781_7_cpu|Only build string|{default, interactive} on win-64| |[libarrow-substrait](https://prefix.dev/channels/conda-forge/packages/libarrow-substrait)|ha37b807_6_cpu|ha37b807_7_cpu|Only build string|{default, interactive} on osx-64| |[libarrow-substrait](https://prefix.dev/channels/conda-forge/packages/libarrow-substrait)|h1bed206_6_cpu|h1bed206_7_cpu|Only build string|{default, interactive} on linux-64| |[libclang-cpp18.1](https://prefix.dev/channels/conda-forge/packages/libclang-cpp18.1)|default_hf90f093_8|default_hf90f093_9|Only build string|{default, interactive} on osx-arm64| |[libclang-cpp18.1](https://prefix.dev/channels/conda-forge/packages/libclang-cpp18.1)|default_h3571c67_8|default_h3571c67_9|Only build string|{default, interactive} on osx-64| |[libparquet](https://prefix.dev/channels/conda-forge/packages/libparquet)|ha850022_6_cpu|ha850022_7_cpu|Only build string|{default, interactive} on win-64| |[libparquet](https://prefix.dev/channels/conda-forge/packages/libparquet)|h636d7b7_6_cpu|h636d7b7_7_cpu|Only build string|{default, interactive} on osx-arm64| |[libparquet](https://prefix.dev/channels/conda-forge/packages/libparquet)|h283e888_6_cpu|h283e888_7_cpu|Only build string|{default, interactive} on osx-64| |[libparquet](https://prefix.dev/channels/conda-forge/packages/libparquet)|h081d1f1_6_cpu|h081d1f1_7_cpu|Only build string|{default, interactive} on linux-64| |[qt6-main](https://prefix.dev/channels/conda-forge/packages/qt6-main)|hca13b62_1|hca13b62_2|Only build string|{default, interactive} on osx-arm64| |[qt6-main](https://prefix.dev/channels/conda-forge/packages/qt6-main)|h72a539a_1|h72a539a_2|Only build string|{default, interactive} on win-64| |[qt6-main](https://prefix.dev/channels/conda-forge/packages/qt6-main)|h69ed9f3_1|h69ed9f3_2|Only build string|{default, interactive} on osx-64| |[qt6-main](https://prefix.dev/channels/conda-forge/packages/qt6-main)|h6441bc3_1|h6441bc3_2|Only build string|{default, interactive} on linux-64| </details> [^1]: **Bold** means explicit dependency. [^2]: Dependency got downgraded. --------- Co-authored-by: Teamcity <teamcity@deltares.nl> Co-authored-by: JoerivanEngelen <joerivanengelen@hotmail.com>
diff --git a/imod/mf6/boundary_condition.py b/imod/mf6/boundary_condition.py
@@ -127,8 +127,7 @@ def _write_textfile(self, outpath, struct_array):
         fields = struct_array.dtype.fields
         fmt = [self._number_format(field[0]) for field in fields.values()]
         header = " ".join(list(fields.keys()))
-        with open(outpath, "w") as f:
-            np.savetxt(fname=f, X=struct_array, fmt=fmt, header=header)
+        np.savetxt(fname=outpath, X=struct_array, fmt=fmt, header=header)
 
     def _write_datafile(self, outpath, ds, binary):
         """
@@ -183,18 +182,22 @@ def _to_struct_array(self, arrdict, layer):
 
         return recarr
 
-    def _period_paths(self, directory, pkgname, globaltimes, bin_ds, binary):
+    def _period_paths(
+        self, directory: pathlib.Path | str, pkgname: str, globaltimes, bin_ds, binary
+    ):
         directory = pathlib.Path(directory) / pkgname
 
         if binary:
             ext = "bin"
         else:
             ext = "dat"
 
-        periods = {}
+        periods: dict[np.int64, str] = {}
+        # Force to np.int64 for mypy and numpy >= 2.2.4
+        one = np.int64(1)
         if "time" in bin_ds:  # one of bin_ds has time
             package_times = bin_ds.coords["time"].values
-            starts = np.searchsorted(globaltimes, package_times) + 1
+            starts = np.searchsorted(globaltimes, package_times) + one
             for i, start in enumerate(starts):
                 path = directory / f"{self._pkg_id}-{i}.{ext}"
                 periods[start] = path.as_posix()
@@ -203,15 +206,15 @@ def _period_paths(self, directory, pkgname, globaltimes, bin_ds, binary):
             if repeat_stress is not None and repeat_stress.values[()] is not None:
                 keys = repeat_stress.isel(repeat_items=0).values
                 values = repeat_stress.isel(repeat_items=1).values
-                repeat_starts = np.searchsorted(globaltimes, keys) + 1
-                values_index = np.searchsorted(globaltimes, values) + 1
-                for i, start in zip(values_index, repeat_starts):
-                    periods[start] = periods[i]
+                repeat_starts = np.searchsorted(globaltimes, keys) + one
+                values_index = np.searchsorted(globaltimes, values) + one
+                for j, start_repeat in zip(values_index, repeat_starts):
+                    periods[start_repeat] = periods[j]
                 # Now make sure the periods are sorted by key.
                 periods = dict(sorted(periods.items()))
         else:
             path = directory / f"{self._pkg_id}.{ext}"
-            periods[1] = path.as_posix()
+            periods[one] = path.as_posix()
 
         return periods
 
diff --git a/imod/mf6/npf.py b/imod/mf6/npf.py
@@ -1,6 +1,6 @@
 import warnings
 from copy import deepcopy
-from typing import Optional
+from typing import Optional, cast
 
 import numpy as np
 import xarray as xr
@@ -40,7 +40,8 @@ def _dataarray_to_bool(griddataarray: GridDataArray) -> bool:
     if griddataarray.values.dtype != bool:
         raise ValueError("DataArray is not a boolean")
 
-    return griddataarray.values.item()
+    bool_value = cast(bool, griddataarray.values.item())
+    return bool_value
 
 
 class NodePropertyFlow(Package, IRegridPackage):
diff --git a/imod/mf6/package.py b/imod/mf6/package.py
@@ -171,18 +171,17 @@ def write_binary_griddata(self, outpath, da, dtype):
             da.values.flatten().astype(dtype).tofile(f)
 
     def write_text_griddata(self, outpath, da, dtype):
-        with open(outpath, "w") as f:
-            # Note: reshaping here avoids writing newlines after every number.
-            # This dumps all the values in a single row rather than a single
-            # column. This is to be preferred, since editors can easily
-            # "reshape" a long row with "word wrap"; they cannot as easily
-            # ignore newlines.
-            fmt = self._number_format(dtype)
-            data = da.values
-            if data.ndim > 2:
-                np.savetxt(fname=f, X=da.values.reshape((1, -1)), fmt=fmt)
-            else:
-                np.savetxt(fname=f, X=da.values, fmt=fmt)
+        # Note: reshaping here avoids writing newlines after every number.
+        # This dumps all the values in a single row rather than a single
+        # column. This is to be preferred, since editors can easily
+        # "reshape" a long row with "word wrap"; they cannot as easily
+        # ignore newlines.
+        fmt = self._number_format(dtype)
+        data = da.values
+        if data.ndim > 2:
+            np.savetxt(fname=outpath, X=data.reshape((1, -1)), fmt=fmt)
+        else:
+            np.savetxt(fname=outpath, X=data, fmt=fmt)
 
     def _get_render_dictionary(
         self,
diff --git a/imod/util/expand_repetitions.py b/imod/util/expand_repetitions.py
@@ -33,7 +33,7 @@ def expand_repetitions(
     value is the "value". For the "key" datetime, the data of the "value"
     datetime will be used.
     """
-    expanded = {}
+    expanded: dict[np.datetime64, np.datetime64] = {}
     for year, date in itertools.product(
         range(time_min.year, time_max.year + 1),
         repeat_stress,
diff --git a/pixi.lock b/pixi.lock
