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TST: 32bit compat for interval get_indexer #16006

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Apr 15, 2017
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TST: 32bit compat for interval get_indexer #16006

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26 changes: 13 additions & 13 deletions pandas/tests/indexes/test_interval.py
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Original file line number Diff line number Diff line change
Expand Up @@ -413,24 +413,24 @@ def test_get_loc_interval(self):

def test_get_indexer(self):
actual = self.index.get_indexer([-1, 0, 0.5, 1, 1.5, 2, 3])
expected = np.array([-1, -1, 0, 0, 1, 1, -1], dtype='int64')
expected = np.array([-1, -1, 0, 0, 1, 1, -1], dtype='intp')
self.assert_numpy_array_equal(actual, expected)

actual = self.index.get_indexer(self.index)
expected = np.array([0, 1], dtype='int64')
expected = np.array([0, 1], dtype='intp')
self.assert_numpy_array_equal(actual, expected)

index = IntervalIndex.from_breaks([0, 1, 2], closed='left')
actual = index.get_indexer([-1, 0, 0.5, 1, 1.5, 2, 3])
expected = np.array([-1, 0, 0, 1, 1, -1, -1], dtype='int64')
expected = np.array([-1, 0, 0, 1, 1, -1, -1], dtype='intp')
self.assert_numpy_array_equal(actual, expected)

actual = self.index.get_indexer(index[:1])
expected = np.array([0], dtype='int64')
expected = np.array([0], dtype='intp')
self.assert_numpy_array_equal(actual, expected)

actual = self.index.get_indexer(index)
expected = np.array([-1, 1], dtype='int64')
expected = np.array([-1, 1], dtype='intp')
self.assert_numpy_array_equal(actual, expected)

def test_get_indexer_subintervals(self):
Expand All @@ -439,21 +439,21 @@ def test_get_indexer_subintervals(self):
# return indexers for wholly contained subintervals
target = IntervalIndex.from_breaks(np.linspace(0, 2, 5))
actual = self.index.get_indexer(target)
expected = np.array([0, 0, 1, 1], dtype='int64')
expected = np.array([0, 0, 1, 1], dtype='p')
self.assert_numpy_array_equal(actual, expected)

target = IntervalIndex.from_breaks([0, 0.67, 1.33, 2])
actual = self.index.get_indexer(target)
expected = np.array([0, 0, 1, 1], dtype='int64')
expected = np.array([0, 0, 1, 1], dtype='intp')
self.assert_numpy_array_equal(actual, expected)

actual = self.index.get_indexer(target[[0, -1]])
expected = np.array([0, 1], dtype='int64')
expected = np.array([0, 1], dtype='intp')
self.assert_numpy_array_equal(actual, expected)

target = IntervalIndex.from_breaks([0, 0.33, 0.67, 1], closed='left')
actual = self.index.get_indexer(target)
expected = np.array([0, 0, 0], dtype='int64')
expected = np.array([0, 0, 0], dtype='intp')
self.assert_numpy_array_equal(actual, expected)

def test_contains(self):
Expand Down Expand Up @@ -505,7 +505,7 @@ def test_non_contiguous(self):
index = IntervalIndex.from_tuples([(0, 1), (2, 3)])
target = [0.5, 1.5, 2.5]
actual = index.get_indexer(target)
expected = np.array([0, -1, 1], dtype='int64')
expected = np.array([0, -1, 1], dtype='intp')
self.assert_numpy_array_equal(actual, expected)

self.assertNotIn(1.5, index)
Expand Down Expand Up @@ -655,7 +655,7 @@ def test_datetime(self):

target = pd.date_range('1999-12-31T12:00', periods=7, freq='12H')
actual = idx.get_indexer(target)
expected = np.array([-1, -1, 0, 0, 1, 1, -1], dtype='int64')
expected = np.array([-1, -1, 0, 0, 1, 1, -1], dtype='intp')
self.assert_numpy_array_equal(actual, expected)

def test_append(self):
Expand Down Expand Up @@ -779,9 +779,9 @@ def test_get_loc_closed(self):
np.array([0], dtype='int64'))

def test_get_indexer_closed(self):
x = np.arange(1000, dtype='int64')
x = np.arange(1000, dtype='intp')
found = x
not_found = (-1 * np.ones(1000)).astype('int64')
not_found = (-1 * np.ones(1000)).astype('intp')
for leaf_size in [1, 10, 100, 10000]:
for closed in ['left', 'right', 'both', 'neither']:
tree = IntervalTree(x, x + 0.5, closed=closed,
Expand Down