fix tests for old numpy and 32bit

Author: jorisvandenbossche

pandas/tests/arrays/floating/test_to_numpy.py

@@ -1,6 +1,8 @@
 import numpy as np
 import pytest
 
+from pandas.compat.numpy import np_version_gt2
+
 import pandas as pd
 import pandas._testing as tm
 from pandas.core.arrays import FloatingArray
@@ -148,8 +150,17 @@ def test_to_numpy_readonly():
     assert result.flags.writeable
 
 
-def test_asarray_readonly():
+@pytest.mark.skipif(not np_version_gt2, reason="copy keyword introduced in np 2.0")
+@pytest.mark.parametrize("dtype", [None, "float64"])
+def test_asarray_readonly(dtype):
     arr = pd.array([0.1, 0.2, 0.3], dtype="Float64")
     arr._readonly = True
-    result = np.asarray(arr, copy=False)
+
+    result = np.asarray(arr, dtype=dtype)
+    assert not result.flags.writeable
+
+    result = np.asarray(arr, dtype=dtype, copy=True)
+    assert result.flags.writeable
+
+    result = np.asarray(arr, dtype=dtype, copy=False)
     assert not result.flags.writeable

pandas/tests/arrays/numpy_/test_numpy.py

@@ -6,6 +6,8 @@
 import numpy as np
 import pytest
 
+from pandas.compat.numpy import np_version_gt2
+
 from pandas.core.dtypes.dtypes import NumpyEADtype
 
 import pandas as pd
@@ -168,9 +170,10 @@ def test_to_numpy_readonly():
     assert result.flags.writeable
 
 
+@pytest.mark.skipif(not np_version_gt2)
 @pytest.mark.parametrize("dtype", [None, "int64"])
 def test_asarray_readonly(dtype):
-    arr = NumpyExtensionArray(np.array([1, 2, 3]))
+    arr = NumpyExtensionArray(np.array([1, 2, 3], dtype="int64"))
     arr._readonly = True
     result = np.asarray(arr, dtype=dtype)
     assert not result.flags.writeable