def test_can_cast_safely_has_nulls():
data = Series([1, 2, 3, None], dtype="float32")._column
to_dtype = np.dtype("int64")
assert data.can_cast_safely(to_dtype)
data = Series([1, 2, 3.1, None], dtype="float32")._column
assert not data.can_cast_safely(to_dtype)
def test_can_cast_safely_same_kind():
data = Series([1, 2, 3], dtype="int32")._column
to_dtype = np.dtype("int64")
assert data.can_cast_safely(to_dtype)
data = Series([1, 2, 3], dtype="int64")._column
to_dtype = np.dtype("int32")
assert data.can_cast_safely(to_dtype)
data = Series([1, 2, 2**31], dtype="int64")._column
assert not data.can_cast_safely(to_dtype)
def test_can_cast_safely_mixed_kind():
data = Series([1, 2, 3], dtype="int32")._column
to_dtype = np.dtype("float32")
assert data.can_cast_safely(to_dtype)
# too big to fit into f32 exactly
data = Series([1, 2, 2**24 + 1], dtype="int32")._column
assert not data.can_cast_safely(to_dtype)
data = Series([1, 2, 3], dtype="uint32")._column
to_dtype = np.dtype("float32")
assert data.can_cast_safely(to_dtype)
# too big to fit into f32 exactly
data = Series([1, 2, 2**24 + 1], dtype="uint32")._column
assert not data.can_cast_safely(to_dtype)
to_dtype = np.dtype("float64")
assert data.can_cast_safely(to_dtype)
data = Series([1.0, 2.0, 3.0], dtype="float32")._column
to_dtype = np.dtype("int32")
assert data.can_cast_safely(to_dtype)
# not integer float
data = Series([1.0, 2.0, 3.5], dtype="float32")._column
assert not data.can_cast_safely(to_dtype)
# float out of int range
data = Series([1.0, 2.0, 1.0 * (2**31)], dtype="float32")._column
assert not data.can_cast_safely(to_dtype)
def test_can_cast_safely_same_kind():
# 'i' -> 'i'
data = Series([1, 2, 3], dtype="int32")._column
to_dtype = np.dtype("int64")
assert data.can_cast_safely(to_dtype)
data = Series([1, 2, 3], dtype="int64")._column
to_dtype = np.dtype("int32")
assert data.can_cast_safely(to_dtype)
data = Series([1, 2, 2**31], dtype="int64")._column
assert not data.can_cast_safely(to_dtype)
# 'u' -> 'u'
data = Series([1, 2, 3], dtype="uint32")._column
to_dtype = np.dtype("uint64")
assert data.can_cast_safely(to_dtype)
data = Series([1, 2, 3], dtype="uint64")._column
to_dtype = np.dtype("uint32")
assert data.can_cast_safely(to_dtype)
data = Series([1, 2, 2**33], dtype="uint64")._column
assert not data.can_cast_safely(to_dtype)
# 'f' -> 'f'
data = Series([np.inf, 1.0], dtype="float64")._column
to_dtype = np.dtype("float32")
assert data.can_cast_safely(to_dtype)
data = Series([np.finfo("float32").max * 2, 1.0], dtype="float64")._column
to_dtype = np.dtype("float32")
assert not data.can_cast_safely(to_dtype)
