def test_filter_lower_pair():
'''Tests with pair shape arrays'''
idx = np.array([], dtype='d')
data = np.array([], dtype='d')
ts = TimeSeries(idx, data)
result = ts.filter_lower(1)
assert_array_equal(result.data, [])
assert_array_equal(result.timestamps, [])
idx = np.array([1, 2, 3, 4, 5, 6], dtype='d')
data = np.array([1, 2, 3, 4, 5, 6], dtype='d')
ts = TimeSeries(idx, data)
result = ts.filter_lower(1)
assert_array_equal(result.data, [])
assert_array_equal(result.timestamps, [])
result = ts.filter_lower(0)
assert_array_equal(result.data, [])
assert_array_equal(result.timestamps, [])
result = ts.filter_lower(2)
assert_array_equal(result.data, [1])
assert_array_equal(result.timestamps, [1])
result = ts.filter_lower(2.5)
assert_array_equal(result.data, [1, 2])
assert_array_equal(result.timestamps, [1, 2])
result = ts.filter_lower(5)
assert_array_equal(result.data, [1, 2, 3, 4])
assert_array_equal(result.timestamps, [1, 2, 3, 4])
result = ts.filter_lower(3.5)
assert_array_equal(result.data, [1, 2, 3])
assert_array_equal(result.timestamps, [1, 2, 3])
result = ts.filter_lower(5.5)
assert_array_equal(result.data, [1, 2, 3, 4, 5])
assert_array_equal(result.timestamps, [1, 2, 3, 4, 5])
result = ts.filter_lower(6.5)
assert_array_equal(result.data, [1, 2, 3, 4, 5, 6])
assert_array_equal(result.timestamps, [1, 2, 3, 4, 5, 6])
def test_filter_lower_pair():
'''Tests with pair shape arrays'''
idx = np.array([], dtype='d')
data = np.array([], dtype='d')
ts = TimeSeries(idx, data)
result = ts.filter_lower(1)
assert_array_equal(result.data, [])
assert_array_equal(result.timestamps, [])
idx = np.array([1, 2, 3, 4, 5, 6], dtype='d')
data = np.array([1, 2, 3, 4, 5, 6], dtype='d')
ts = TimeSeries(idx, data)
result = ts.filter_lower(1)
assert_array_equal(result.data, [])
assert_array_equal(result.timestamps, [])
result = ts.filter_lower(0)
assert_array_equal(result.data, [])
assert_array_equal(result.timestamps, [])
result = ts.filter_lower(2)
assert_array_equal(result.data, [1])
assert_array_equal(result.timestamps, [1])
result = ts.filter_lower(2.5)
assert_array_equal(result.data, [1, 2])
assert_array_equal(result.timestamps, [1, 2])
result = ts.filter_lower(5)
assert_array_equal(result.data, [1, 2, 3, 4])
assert_array_equal(result.timestamps, [1, 2, 3, 4])
result = ts.filter_lower(3.5)
assert_array_equal(result.data, [1, 2, 3])
assert_array_equal(result.timestamps, [1, 2, 3])
result = ts.filter_lower(5.5)
assert_array_equal(result.data, [1, 2, 3, 4, 5])
assert_array_equal(result.timestamps, [1, 2, 3, 4, 5])
result = ts.filter_lower(6.5)
assert_array_equal(result.data, [1, 2, 3, 4, 5, 6])
assert_array_equal(result.timestamps, [1, 2, 3, 4, 5, 6])
def test_filter_lower():
'''Tests the lower filter'''
idx = np.array([0.0, 1.0, 2, 3, 4], dtype='d')
data = np.array([1.0, 2, 3, 4, 5], dtype='d')
ts = TimeSeries(idx, data)
result = ts.filter_lower(1)
assert_array_equal(result.timestamps, [0.0])
assert_array_equal(result.data, [1.0])
result = ts.filter_lower(0)
assert_array_equal(result.timestamps, [])
assert_array_equal(result.data, [])
result = ts.filter_lower(3)
assert_array_equal(result.timestamps, [0.0, 1.0, 2.0])
assert_array_equal(result.data, [1.0, 2.0, 3.0])
result = ts.filter_lower(-1)
assert_array_equal(result.timestamps, [])
assert_array_equal(result.data, [])
result = ts.filter_lower(8)
assert_array_equal(result.data, [1.0, 2.0, 3.0, 4.0, 5.0])
assert_array_equal(result.timestamps, [0.0, 1.0, 2.0, 3.0, 4.0])
expected = []
for i, f in enumerate(np.arange(-0.5, 5.51, 1)):
result = ts.filter_lower(f)
assert_array_equal(result.timestamps, expected)
if i < ts.timestamps.shape[0]:
expected.append(ts.timestamps[i])
def test_filter_lower():
'''Tests the lower filter'''
idx = np.array([0.0, 1.0, 2, 3, 4], dtype='d')
data = np.array([1.0, 2, 3, 4, 5], dtype='d')
ts = TimeSeries(idx, data)
result = ts.filter_lower(1)
assert_array_equal(result.timestamps, [0.0])
assert_array_equal(result.data, [1.0])
result = ts.filter_lower(0)
assert_array_equal(result.timestamps, [])
assert_array_equal(result.data, [])
result = ts.filter_lower(3)
assert_array_equal(result.timestamps, [0.0, 1.0, 2.0])
assert_array_equal(result.data, [1.0, 2.0, 3.0])
result = ts.filter_lower(-1)
assert_array_equal(result.timestamps, [])
assert_array_equal(result.data, [])
result = ts.filter_lower(8)
assert_array_equal(result.data, [1.0, 2.0, 3.0, 4.0, 5.0])
assert_array_equal(result.timestamps, [0.0, 1.0, 2.0, 3.0, 4.0])
expected = []
for i, f in enumerate(np.arange(-0.5, 5.51, 1)):
result = ts.filter_lower(f)
assert_array_equal(result.timestamps, expected)
if i < ts.timestamps.shape[0]:
expected.append(ts.timestamps[i])
