Merge pull request #3117 from gdsfactory/update_numpy

update numpy

gdsfactory/labels/get_test_manifest.py

@@ -1,27 +1,21 @@
 """Converts CSV of test site labels into a CSV test manifest."""
 
-import pandas as pd
-
 import gdsfactory as gf
 from gdsfactory.samples.sample_reticle import sample_reticle
 
 
-def get_test_manifest(
-    component: gf.Component, one_setting_per_column: bool = True
-) -> pd.DataFrame:
+def get_test_manifest(component: gf.Component, one_setting_per_column: bool = True):
     """Returns a pandas DataFrame with test manifest.
 
     Args:
         component: Component to extract test manifest from.
         one_setting_per_column: If True, puts each cell setting in a separate column.
     """
+    import pandas as pd
+
     rows = []
     ports = component.get_ports_list()
-    name_to_settings = {}
-
-    for port in ports:
-        instance_name = port.name
-        name_to_settings[instance_name] = port.info
+    name_to_settings = {port.name: port.info for port in ports}
 
     if one_setting_per_column:
         # Gather all unique settings keys

gdsfactory/path.py

@@ -163,7 +163,7 @@ def append(self, path):
             and np.issubdtype(np.array(path).dtype, np.number)
             and (np.shape(path)[1] == 2)
         ):
-            points = np.asfarray(path)
+            points = np.asarray(path, dtype=float)
             nx1, ny1 = points[1] - points[0]
             start_angle = np.arctan2(ny1, nx1) / np.pi * 180
             nx2, ny2 = points[-1] - points[-2]
@@ -1426,7 +1426,7 @@ def euler(
         dx = xp - Rp * np.sin(p * alpha / 2)
         dy = yp - Rp * (1 - np.cos(p * alpha / 2))
     else:
-        xbend1 = ybend1 = np.asfarray([])
+        xbend1 = ybend1 = np.asarray([], dtype=float)
         dx = 0
         dy = 0
 
@@ -1523,7 +1523,7 @@ def spiral_archimedean(
 
 
 def _compute_segments(points):
-    points = np.asfarray(points)
+    points = np.asarray(points, dtype=float)
     normals = np.diff(points, axis=0)
     normals = (normals.T / np.linalg.norm(normals, axis=1)).T
     dx = np.diff(points[:, 0])

pyproject.toml

@@ -16,9 +16,9 @@ dependencies = [
   "jinja2<4",
   "loguru<1",
   "matplotlib<4",
-  "numpy<2",
+  "numpy",
   "orjson<4",
-  "pandas<3",
+  "pandas",
   "pydantic>=2.6,<2.9",
   "pydantic-settings<3",
   "pydantic-extra-types<3",