chore: Added explicit support for numpy number types

lonboard/_map.py

@@ -6,6 +6,7 @@
 from typing import IO, TYPE_CHECKING, Any, TextIO, overload
 
 import ipywidgets
+import numpy as np
 import traitlets as t
 from ipywidgets import CallbackDispatcher
 
@@ -632,17 +633,17 @@ def fly_to(  # noqa: PLR0913
                 specified speed is ignored.
 
         """  # noqa: D210
-        if not isinstance(longitude, (int, float)):
+        if not isinstance(longitude, (int, float, np.number)):
             raise TypeError(
                 f"Expected longitude to be an int or float, got {type(longitude)}",
             )
 
-        if not isinstance(latitude, (int, float)):
+        if not isinstance(latitude, (int, float, np.number)):
             raise TypeError(
                 f"Expected latitude to be an int or float, got {type(latitude)}",
             )
 
-        if not isinstance(zoom, (int, float)):
+        if not isinstance(zoom, (int, float, np.number)):
             raise TypeError(f"Expected zoom to be an int or float, got {type(zoom)}")
 
         data = {

lonboard/traits/_extensions.py

@@ -141,7 +141,7 @@ def validate(
         assert len(data_filter_extension) == 1
         filter_size = data_filter_extension[0].filter_size  # type: ignore
 
-        if isinstance(value, (int, float)):
+        if isinstance(value, (int, float, np.number)):
             if filter_size != 1:
                 self.error(obj, value, info="filter_size==1 with scalar value")
 

lonboard/traits/_float.py

@@ -65,7 +65,7 @@ def _numpy_to_arrow(self, obj: BaseArrowLayer, value: np.ndarray) -> ChunkedArra
         return ChunkedArray([value.astype(np.float32)])
 
     def validate(self, obj: BaseArrowLayer, value: Any) -> float | ChunkedArray:
-        if isinstance(value, (int, float)):
+        if isinstance(value, (int, float, np.number)):
             return float(value)
 
         # pandas Series

lonboard/traits/_map.py

@@ -4,6 +4,7 @@
 from typing import TYPE_CHECKING, Any
 from urllib.parse import urlparse
 
+import numpy as np
 import traitlets
 
 from lonboard._environment import DEFAULT_HEIGHT
@@ -58,7 +59,7 @@ def __init__(
         self.tag(sync=True)
 
     def validate(self, obj: Any, value: Any) -> str:
-        if isinstance(value, int):
+        if isinstance(value, (int, np.integer)):
             return f"{value}px"
 
         if isinstance(value, str):