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Automatic PR for 6454e6f2-648d-4429-a580-ff8c6d8c5227 #78

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Automatic PR for 6454e6f2-648d-4429-a580-ff8c6d8c5227 #78

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13 changes: 6 additions & 7 deletions pandas/core/util/hashing.py
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Original file line number Diff line number Diff line change
Expand Up @@ -254,7 +254,7 @@ def hash_array(
encoding=encoding, hash_key=hash_key, categorize=categorize
)

if not isinstance(vals, np.ndarray):
elif not isinstance(vals, np.ndarray):
# GH#42003
raise TypeError(
"hash_array requires np.ndarray or ExtensionArray, not "
Expand All @@ -275,15 +275,14 @@ def _hash_ndarray(
"""
dtype = vals.dtype

# _hash_ndarray only takes 64-bit values, so handle 128-bit by parts
# we'll be working with everything as 64-bit values, so handle this
# 128-bit value early
if np.issubdtype(dtype, np.complex128):
hash_real = _hash_ndarray(vals.real, encoding, hash_key, categorize)
hash_imag = _hash_ndarray(vals.imag, encoding, hash_key, categorize)
return hash_real + 23 * hash_imag
return hash_array(np.real(vals)) + 23 * hash_array(np.imag(vals))

# First, turn whatever array this is into unsigned 64-bit ints, if we can
# manage it.
if dtype == bool:
elif dtype == bool:
vals = vals.astype("u8")
elif issubclass(dtype.type, (np.datetime64, np.timedelta64)):
vals = vals.view("i8").astype("u8", copy=False)
Expand Down Expand Up @@ -321,4 +320,4 @@ def _hash_ndarray(
vals ^= vals >> 27
vals *= np.uint64(0x94D049BB133111EB)
vals ^= vals >> 31
return vals
return vals