numpy
diff --git a/‎numpy/_core/tests/test_nditer.py
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diff --git a/‎numpy/random/_generator.pyx
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diff --git a/‎numpy/random/mtrand.pyx
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@@ -1486,7 +1486,7 @@ def test_iter_copy_casts_structured2():
     # Array of two structured scalars:
     for res in res1, res2:
         # Cast to tuple by getitem, which may be weird and changeable?:
-        assert type(res["a"][0]) == tuple
+        assert isinstance(res["a"][0], tuple)
         assert res["a"][0] == (1, 1)
 
     for res in res1, res2:
 
@@ -4718,7 +4718,7 @@ cdef class Generator:
         if out is None:
             out = x.copy(order='K')
         else:
-            if type(out) is not np.ndarray:
+            if not isinstance(out, np.ndarray):
                 raise TypeError('out must be a numpy array')
             PyArray_FailUnlessWriteable(<np.PyArrayObject *>out, "out")
             if out.shape != x.shape:
 
@@ -4614,7 +4614,7 @@ cdef class RandomState:
         if isinstance(x, np.ndarray) and not x.flags.writeable:
             raise ValueError('array is read-only')
 
-        if type(x) is np.ndarray and x.ndim == 1 and x.size:
+        if isinstance(x, np.ndarray) and x.ndim == 1 and x.size:
             # Fast, statically typed path: shuffle the underlying buffer.
             # Only for non-empty, 1d objects of class ndarray (subclasses such
             # as MaskedArrays may not support this approach).