Add np complex64 and np.nan tests

Author: alimcmaster1

pandas/_libs/algos.pyx

@@ -15,6 +15,7 @@ import numpy as np
 
 cimport numpy as cnp
 from numpy cimport (
+    NPY_COMPLEX64,
     NPY_COMPLEX128,
     NPY_FLOAT32,
     NPY_FLOAT64,

pandas/_libs/algos_common_helper.pxi.in

@@ -47,6 +47,7 @@ dtypes = [('float64', 'FLOAT64', 'float64'),
           ('uint16', 'UINT16', 'uint16'),
           ('uint32', 'UINT32', 'uint32'),
           ('uint64', 'UINT64', 'uint64'),
+          ('complex64', 'COMPLEX64', 'complex64'),
           ('complex128', 'COMPLEX128', 'complex128')
           # ('platform_int', 'INT', 'int_'),
           # ('object', 'OBJECT', 'object_'),

pandas/core/dtypes/common.py

@@ -97,6 +97,7 @@ def ensure_float(arr):
 ensure_int32 = algos.ensure_int32
 ensure_int16 = algos.ensure_int16
 ensure_int8 = algos.ensure_int8
+ensure_complex64 = algos.ensure_complex64
 ensure_complex128 = algos.ensure_complex128
 ensure_platform_int = algos.ensure_platform_int
 ensure_object = algos.ensure_object

pandas/tests/indexes/multi/test_duplicates.py

@@ -7,7 +7,7 @@
 
 from pandas import (
     DatetimeIndex,
-    MultiIndex,
+    MultiIndex, Series,
 )
 import pandas._testing as tm
 
@@ -299,6 +299,27 @@ def test_duplicated_drop_duplicates():
     tm.assert_index_equal(idx.drop_duplicates(keep=False), expected)
 
 
+@pytest.mark.parametrize(
+    "array,expected,dtype",
+    [
+        (
+            [np.nan + np.nan * 1j, 0, 1j, 1j, 1, 1 + 1j, 1 + 2j, 1 + 1j, np.nan, np.nan + np.nan * 1j],
+            Series([False, False, False, True, False, False, False, True, False, True], dtype=bool),
+            np.complex64
+        ),
+
+        (
+            [np.nan + np.nan * 1j, 0, 1j, 1j, 1, 1 + 1j, 1 + 2j, 1 + 1j, np.nan, np.nan + np.nan * 1j],
+            Series([False, False, False, True, False, False, False, True, False, True], dtype=bool),
+            np.complex128
+        )
+    ],
+)
+def test_duplicated_series_complex_numbers(array, expected, dtype):
+    result = Series(array, dtype=dtype).duplicated()
+    tm.assert_series_equal(result, expected)
+
+
 def test_multi_drop_duplicates_pos_args_deprecation():
     # GH#41485
     idx = MultiIndex.from_arrays([[1, 2, 3, 1], [1, 2, 3, 1]])