TST: Fix some test builds for numpy 2.0

Author: mroeschke

pandas/compat/numpy/__init__.py

@@ -12,7 +12,7 @@
 np_version_gte1p24 = _nlv >= Version("1.24")
 np_version_gte1p24p3 = _nlv >= Version("1.24.3")
 np_version_gte1p25 = _nlv >= Version("1.25")
-np_version_gt2 = _nlv >= Version("2.0.0.dev0")
+np_version_gt2 = _nlv >= Version("2.0.0")
 is_numpy_dev = _nlv.dev is not None
 _min_numpy_ver = "1.23.5"
 

pandas/core/dtypes/cast.py

@@ -39,7 +39,6 @@
     is_supported_dtype,
 )
 from pandas._libs.tslibs.timedeltas import array_to_timedelta64
-from pandas.compat.numpy import np_version_gt2
 from pandas.errors import (
     IntCastingNaNError,
     LossySetitemError,
@@ -1643,13 +1642,11 @@ def maybe_cast_to_integer_array(arr: list | np.ndarray, dtype: np.dtype) -> np.n
             with warnings.catch_warnings():
                 # We already disallow dtype=uint w/ negative numbers
                 # (test_constructor_coercion_signed_to_unsigned) so safe to ignore.
-                if not np_version_gt2:
-                    warnings.filterwarnings(
-                        "ignore",
-                        "NumPy will stop allowing conversion of "
-                        "out-of-bound Python int",
-                        DeprecationWarning,
-                    )
+                warnings.filterwarnings(
+                    "ignore",
+                    "NumPy will stop allowing conversion of " "out-of-bound Python int",
+                    DeprecationWarning,
+                )
                 casted = np.asarray(arr, dtype=dtype)
         else:
             with warnings.catch_warnings():

pandas/tests/indexes/datetimelike_/test_indexing.py

@@ -19,7 +19,7 @@
 @pytest.mark.parametrize("ldtype", dtlike_dtypes)
 @pytest.mark.parametrize("rdtype", dtlike_dtypes)
 def test_get_indexer_non_unique_wrong_dtype(ldtype, rdtype):
-    vals = np.tile(3600 * 10**9 * np.arange(3), 2)
+    vals = np.tile(3600 * 10**9 * np.arange(3, dtype=np.int64), 2)
 
     def construct(dtype):
         if dtype is dtlike_dtypes[-1]:

pandas/tests/scalar/timedelta/test_arithmetic.py

@@ -419,7 +419,7 @@ def test_td_mul_numeric_ndarray(self):
 
     def test_td_mul_numeric_ndarray_0d(self):
         td = Timedelta("1 day")
-        other = np.array(2)
+        other = np.array(2, dtype=np.int64)
         assert other.ndim == 0
         expected = Timedelta("2 days")
 

pandas/tests/tools/test_to_datetime.py

@@ -3182,7 +3182,7 @@ def test_invalid_origin(self, unit):
     )
     def test_epoch(self, units, epochs):
         epoch_1960 = Timestamp(1960, 1, 1)
-        units_from_epochs = list(range(5))
+        units_from_epochs = np.arange(5, dtype=np.int32)
         expected = Series(
             [pd.Timedelta(x, unit=units) + epoch_1960 for x in units_from_epochs]
         )