def testPercentileExecution(self):
raw = np.random.rand(20, 10)
q = np.random.RandomState(0).randint(100, size=11)
a = tensor(raw, chunk_size=7)
r = percentile(a, q)
result = self.executor.execute_tensor(r, concat=True)[0]
expected = np.percentile(raw, q)
np.testing.assert_array_equal(result, expected)
mq = tensor(q)
this = self
class MockSession:
def __init__(self):
self.executor = this.executor
ctx = LocalContext(MockSession())
executor = ExecutorForTest('numpy', storage=ctx)
with ctx:
r = percentile(a, mq)
result = executor.execute_tensors([r])[0]
np.testing.assert_array_equal(result, expected)
def testPercentile(self):
raw = np.random.rand(100)
q = [101]
a = tensor(raw, chunk_size=100)
with self.assertRaises(ValueError) as cm:
percentile(a, q)
the_exception = cm.exception
self.assertIn('Percentiles', str(the_exception))
def test_percentile():
raw = np.random.rand(100)
q = [101]
a = tensor(raw, chunk_size=100)
with pytest.raises(ValueError) as cm:
percentile(a, q)
the_exception = cm.value.args[0]
assert 'Percentiles' in the_exception
def test_percentile_execution(setup):
raw = np.random.rand(20, 10)
q = np.random.RandomState(0).randint(100, size=11)
a = tensor(raw, chunk_size=7)
r = percentile(a, q)
result = r.execute().fetch()
expected = np.percentile(raw, q)
np.testing.assert_almost_equal(result, expected)
mq = tensor(q)
r = percentile(a, mq)
result = r.execute().fetch()
np.testing.assert_almost_equal(result, expected)
def testPercentileExecution(self):
raw = np.random.rand(20, 10)
q = np.random.RandomState(0).randint(100, size=11)
a = tensor(raw, chunk_size=7)
r = percentile(a, q)
result = self.executor.execute_tensor(r, concat=True)[0]
expected = np.percentile(raw, q)
np.testing.assert_almost_equal(result, expected)
mq = tensor(q)
ctx, executor = self._create_test_context(self.executor)
with ctx:
r = percentile(a, mq)
result = executor.execute_tensors([r])[0]
np.testing.assert_almost_equal(result, expected)