TST: Remove tests of view safety checks (see next commit)

Remove unit tests for the view safety chekcs, which are to be reverted
in the next commit.

2 files changed, 0 insertions, 93 deletions

diff --git a/numpy/core/tests/test_multiarray.py b/numpy/core/tests/test_multiarray.py
index 85b0e5519..116348667 100644
--- a/numpy/core/tests/test_multiarray.py
+++ b/numpy/core/tests/test_multiarray.py
@@ -5829,89 +5829,6 @@ class TestHashing(TestCase):
         x = np.array([])
         self.assertFalse(isinstance(x, collections.Hashable))
 
-from numpy.core._internal import _view_is_safe
-
-class TestObjViewSafetyFuncs(TestCase):
-    def test_view_safety(self):
-        psize = np.dtype('p').itemsize
-
-        # creates dtype but with extra character code - for missing 'p' fields
-        def mtype(s):
-            n, offset, fields = 0, 0, []
-            for c in s.split(','):  # subarrays won't work
-                if c != '-':
-                    fields.append(('f{0}'.format(n), c, offset))
-                    n += 1
-                offset += np.dtype(c).itemsize if c != '-' else psize
-
-            names, formats, offsets = zip(*fields)
-            return np.dtype({'names': names, 'formats': formats,
-                          'offsets': offsets, 'itemsize': offset})
-
-        # test nonequal itemsizes with objects:
-        # these should succeed:
-        _view_is_safe(np.dtype('O,p,O,p'), np.dtype('O,p,O,p,O,p'))
-        _view_is_safe(np.dtype('O,O'), np.dtype('O,O,O'))
-        # these should fail:
-        assert_raises(TypeError, _view_is_safe, np.dtype('O,O,p'), np.dtype('O,O'))
-        assert_raises(TypeError, _view_is_safe, np.dtype('O,O,p'), np.dtype('O,p'))
-        assert_raises(TypeError, _view_is_safe, np.dtype('O,O,p'), np.dtype('p,O'))
-
-        # test nonequal itemsizes with missing fields:
-        # these should succeed:
-        _view_is_safe(mtype('-,p,-,p'), mtype('-,p,-,p,-,p'))
-        _view_is_safe(np.dtype('p,p'), np.dtype('p,p,p'))
-        # these should fail:
-        assert_raises(TypeError, _view_is_safe, mtype('p,p,-'), mtype('p,p'))
-        assert_raises(TypeError, _view_is_safe, mtype('p,p,-'), mtype('p,-'))
-        assert_raises(TypeError, _view_is_safe, mtype('p,p,-'), mtype('-,p'))
-
-        # scans through positions at which we can view a type
-        def scanView(d1, otype):
-            goodpos = []
-            for shift in range(d1.itemsize - np.dtype(otype).itemsize+1):
-                d2 = np.dtype({'names': ['f0'], 'formats': [otype],
-                            'offsets': [shift], 'itemsize': d1.itemsize})
-                try:
-                    _view_is_safe(d1, d2)
-                except TypeError:
-                    pass
-                else:
-                    goodpos.append(shift)
-            return goodpos
-
-        # test partial overlap with object field
-        assert_equal(scanView(np.dtype('p,O,p,p,O,O'), 'p'),
-                     [0] + list(range(2*psize, 3*psize+1)))
-        assert_equal(scanView(np.dtype('p,O,p,p,O,O'), 'O'),
-                     [psize, 4*psize, 5*psize])
-
-        # test partial overlap with missing field
-        assert_equal(scanView(mtype('p,-,p,p,-,-'), 'p'),
-                     [0] + list(range(2*psize, 3*psize+1)))
-
-        # test nested structures with objects:
-        nestedO = np.dtype([('f0', 'p'), ('f1', 'p,O,p')])
-        assert_equal(scanView(nestedO, 'p'), list(range(psize+1)) + [3*psize])
-        assert_equal(scanView(nestedO, 'O'), [2*psize])
-
-        # test nested structures with missing fields:
-        nestedM = np.dtype([('f0', 'p'), ('f1', mtype('p,-,p'))])
-        assert_equal(scanView(nestedM, 'p'), list(range(psize+1)) + [3*psize])
-
-        # test subarrays with objects
-        subarrayO = np.dtype('p,(2,3)O,p')
-        assert_equal(scanView(subarrayO, 'p'), [0, 7*psize])
-        assert_equal(scanView(subarrayO, 'O'),
-                     list(range(psize, 6*psize+1, psize)))
-
-        #test dtype with overlapping fields
-        overlapped = np.dtype({'names': ['f0', 'f1', 'f2', 'f3'],
-                            'formats': ['p', 'p', 'p', 'p'],
-                            'offsets': [0, 1, 3*psize-1, 3*psize],
-                            'itemsize': 4*psize})
-        assert_equal(scanView(overlapped, 'p'), [0, 1, 3*psize-1, 3*psize])
-
 
 class TestArrayPriority(TestCase):
     # This will go away when __array_priority__ is settled, meanwhile
diff --git a/numpy/lib/tests/test_recfunctions.py b/numpy/lib/tests/test_recfunctions.py
index 09cc29dc1..699a04716 100644
--- a/numpy/lib/tests/test_recfunctions.py
+++ b/numpy/lib/tests/test_recfunctions.py
@@ -720,15 +720,5 @@ class TestAppendFieldsObj(TestCase):
                            dtype=[('A', object), ('B', float), ('C', int)])
         assert_equal(test, control)
 
-    def test_append_with_objects(self):
-        "Test append_fields when the appended data contains objects"
-        obj = self.data['obj']
-        x = np.array([(10, 1.), (20, 2.)], dtype=[('A', int), ('B', float)])
-        y = np.array([obj, obj], dtype=object)
-        test = append_fields(x, 'C', data=y, dtypes=object, usemask=False)
-        control = np.array([(10, 1.0, obj), (20, 2.0, obj)],
-                           dtype=[('A', int), ('B', float), ('C', object)])
-        assert_equal(test, control)
-
 if __name__ == '__main__':
     run_module_suite()