Reverted debugging asserts and applied fix for numpy repeat from pandas-dev#47670.

Author: Sylvain MARIE

pandas/_libs/arrays.pyx

@@ -157,7 +157,7 @@ cdef class NDArrayBacked:
         return self._from_backing_data(res_values)
 
     # TODO: pass NPY_MAXDIMS equiv to axis=None?
-    def repeat(self, repeats, axis: int = 0):
+    def repeat(self, repeats, axis = 0):
         if axis is None:
             axis = 0
         res_values = cnp.PyArray_Repeat(self._ndarray, repeats, <int>axis)

pandas/tests/extension/base/methods.py

@@ -500,7 +500,6 @@ def test_where_series(self, data, na_value, as_frame):
     @pytest.mark.parametrize("repeats", [0, 1, 2, [1, 2, 3]])
     def test_repeat(self, data, repeats, as_series, use_numpy):
         arr = type(data)._from_sequence(data[:3], dtype=data.dtype)
-        assert type(arr) is type(data)
         if as_series:
             arr = pd.Series(arr)
 
@@ -509,7 +508,6 @@ def test_repeat(self, data, repeats, as_series, use_numpy):
         repeats = [repeats] * 3 if isinstance(repeats, int) else repeats
         expected = [x for x, n in zip(arr, repeats) for _ in range(n)]
         expected = type(data)._from_sequence(expected, dtype=data.dtype)
-        assert type(expected) is type(data)
         if as_series:
             expected = pd.Series(expected, index=arr.index.repeat(repeats))