BUILD: Bump numpy version to>=1.20.0,<2.3 (#5557)

ansys · Dec 13, 2024 · 7a528df · 7a528df
1 parent 5ea126b
commit 7a528df
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Showing 3 changed files with 8 additions and 8 deletions.
diff --git a/pyproject.toml b/pyproject.toml
@@ -55,7 +55,7 @@ unit-tests = [
 integration-tests = [
     "matplotlib>=3.5.0,<3.10",
     "mock>=5.1.0,<5.2",
-    "numpy>=1.20.0,<2",
+    "numpy>=1.20.0,<2.3",
     "pandas>=1.1.0,<2.3",
     "pytest>=7.4.0,<8.4",
     "pytest-cov>=4.0.0,<6.1",
@@ -65,7 +65,7 @@ tests = [
     "joblib>=1.0.0,<1.5",
     "matplotlib>=3.5.0,<3.10",
     "mock>=5.1.0,<5.2",
-    "numpy>=1.20.0,<2",
+    "numpy>=1.20.0,<2.3",
     "openpyxl>=3.1.0,<3.3",
     "osmnx>=1.1.0,<2.1",
     "pandas>=1.1.0,<2.3",
@@ -104,7 +104,7 @@ doc = [
 ]
 all = [
     "matplotlib>=3.5.0,<3.10",
-    "numpy>=1.20.0,<2",
+    "numpy>=1.20.0,<2.3",
     "openpyxl>=3.1.0,<3.3",
     "osmnx>=1.1.0,<2.1",
     "pandas>=1.1.0,<2.3",
@@ -120,7 +120,7 @@ all = [
 ]
 installer = [
     "matplotlib>=3.5.0,<3.10",
-    "numpy>=1.20.0,<2",
+    "numpy>=1.20.0,<2.3",
     "openpyxl>=3.1.0,<3.3",
     "osmnx>=1.1.0,<2.1",
     "pandas>=1.1.0,<2.3",

diff --git a/src/ansys/aedt/core/visualization/advanced/rcs_visualization.py b/src/ansys/aedt/core/visualization/advanced/rcs_visualization.py
@@ -495,7 +495,7 @@ def isar_2d(self):
             self.__logger.warning("ny should be at least as large as the number of azimuth angles.")
             nxrng = nangles
 
-        iq = np.zeros((ndrng, nxrng), dtype=np.complex_)
+        iq = np.zeros((ndrng, nxrng), dtype=np.complex128)
         xshift = (ndrng - nfreq) // 2
         yshift = (nxrng - nangles) // 2
         iq[xshift : xshift + nfreq, yshift : yshift + nangles] = np.multiply(rdata, winx * winy)

diff --git a/src/ansys/aedt/core/visualization/post/solution_data.py b/src/ansys/aedt/core/visualization/post/solution_data.py
@@ -1039,9 +1039,9 @@ def ifft(self, curve_header="NearE", u_axis="_u", v_axis="_v", window=False):
         temp_e_comp_y = e_real_y + 1j * e_imag_y
         temp_e_comp_z = e_real_z + 1j * e_imag_z
 
-        e_comp_x = np.zeros((len(freq), len(v), len(u)), dtype="complex_")
-        e_comp_y = np.zeros((len(freq), len(v), len(u)), dtype="complex_")
-        e_comp_z = np.zeros((len(freq), len(v), len(u)), dtype="complex_")
+        e_comp_x = np.zeros((len(freq), len(v), len(u)), dtype=np.complex128)
+        e_comp_y = np.zeros((len(freq), len(v), len(u)), dtype=np.complex128)
+        e_comp_z = np.zeros((len(freq), len(v), len(u)), dtype=np.complex128)
         if window:
             timewin = np.hanning(len(freq))