fix: pin numpy to 1.x for lambda layers (#2889)

Author: jaidisido

awswrangler/_utils.py

@@ -856,7 +856,7 @@ def split_pandas_frame(df: pd.DataFrame, splits: int) -> list[pd.DataFrame]:
     total = len(df)
     each_section, extras = divmod(total, splits)
     section_sizes = [0] + extras * [each_section + 1] + (splits - extras) * [each_section]
-    div_points = _nx.array(section_sizes, dtype=_nx.intp).cumsum()
+    div_points = _nx.array(section_sizes, dtype=_nx.intp).cumsum()  # type: ignore[attr-defined]
 
     sub_dfs = []
     for i in range(splits):

awswrangler/s3/_write_dataset.py

@@ -28,7 +28,7 @@ def _get_bucketing_series(df: pd.DataFrame, bucketing_info: typing.BucketingInfo
             axis="columns",
         )
     )
-    return bucket_number_series.astype(np.array([pd.CategoricalDtype(range(bucketing_info[1]))]))
+    return bucket_number_series.astype(pd.CategoricalDtype(range(bucketing_info[1])))
 
 
 def _simulate_overflow(value: int, bits: int = 31, signed: bool = False) -> int: