def test_to_empty():
'''Valid empty creation test'''
idx1 = np.array([], dtype='d')
data1 = np.array([], dtype='d')
ts1 = TimeSeries(idx1, data1)
ts2 = TimeSeries(idx1.copy(), data1.copy())
dataset = TimeSeriesDataset(np.asarray([ts1, ts2]))
X = dataset.np_like_firstn()
assert_array_equal(X, [[], []])
X = dataset.np_like_lastn()
assert_array_equal(X, [[], []])
def test_to_empty():
'''Valid empty creation test'''
idx1 = np.array([], dtype='d')
data1 = np.array([], dtype='d')
ts1 = TimeSeries(idx1, data1)
ts2 = TimeSeries(idx1.copy(), data1.copy())
dataset = TimeSeriesDataset(np.asarray([ts1, ts2]))
X = dataset.np_like_firstn()
assert_array_equal(X, [[], []])
X = dataset.np_like_lastn()
assert_array_equal(X, [[], []])
def test_to_numpy():
'''Valid creation test'''
idx1 = np.array([0, 1, 2, 3, 4], dtype='d')
data1 = np.array([1.0, 2, 3, 4, 5], dtype='d')
ts1 = TimeSeries(idx1, data1)
idx2 = np.array([0, 1, 2, 3, 4, 5], dtype='d')
data2 = np.array([1.0, 2, 3, 4, 8, 6], dtype='d')
ts2 = TimeSeries(idx2, data2)
dataset = TimeSeriesDataset(np.asarray([ts1, ts2]))
X = dataset.np_like_firstn()
assert_array_equal(X, [[1.0, 2, 3, 4, 5], [1.0, 2, 3, 4, 8]])
X = dataset.np_like_lastn()
assert_array_equal(X, [[1.0, 2, 3, 4, 5], [2, 3, 4, 8, 6]])
def test_to_numpy():
'''Valid creation test'''
idx1 = np.array([0, 1, 2, 3, 4], dtype='d')
data1 = np.array([1.0, 2, 3, 4, 5], dtype='d')
ts1 = TimeSeries(idx1, data1)
idx2 = np.array([0, 1, 2, 3, 4, 5], dtype='d')
data2 = np.array([1.0, 2, 3, 4, 8, 6], dtype='d')
ts2 = TimeSeries(idx2, data2)
dataset = TimeSeriesDataset(np.asarray([ts1, ts2]))
X = dataset.np_like_firstn()
assert_array_equal(X, [[1.0, 2, 3, 4, 5], [1.0, 2, 3, 4, 8]])
X = dataset.np_like_lastn()
assert_array_equal(X, [[1.0, 2, 3, 4, 5], [2, 3, 4, 8, 6]])
