def test_constant_parameter(self):
name = 'dummy'
data = 3.14159
start = 1.0
stop = 2.0
fill_val = np.NaN
arr = np.array([0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0, 2.1, 2.2, 2.3, 2.4, 2.5])
pd = ConstantOverTime(name, data, time_start=start)
param_type = ConstantType(value_encoding='float32')
param_type.fill_value = np.NaN
alignment_array = arr[10:14]
got = pd.get_data_as_numpy_array(alignment_array, param_type)
expected = param_type.create_data_array(data, 4)
np.testing.assert_array_equal(expected, got)
alignment_array = arr[10:]
got = pd.get_data_as_numpy_array(alignment_array, param_type)
expected = param_type.create_data_array(data, alignment_array.size)
np.testing.assert_array_equal(got, expected)
alignment_array = arr[0:]
got = pd.get_data_as_numpy_array(alignment_array, param_type)
expected = param_type.create_filled_array(alignment_array.size)
expected[5:alignment_array.size] = data
np.testing.assert_array_equal(got, expected)
alignment_array = arr[0:10]
got = pd.get_data_as_numpy_array(alignment_array, param_type)
expected = param_type.create_filled_array(alignment_array.size)
expected[5:alignment_array.size] = data
np.testing.assert_array_equal(got, expected)
pd = ConstantOverTime(name, data, time_start=start, time_end=stop)
alignment_array = arr[10:14]
got = pd.get_data_as_numpy_array(alignment_array, param_type)
expected = param_type.create_data_array(data, 4)
np.testing.assert_array_equal(got, expected)
alignment_array = arr[10:]
got = pd.get_data_as_numpy_array(alignment_array, param_type)
expected = np.empty(11, dtype=np.dtype('float32'))
expected.fill(fill_val)
expected[0:6] = data
np.testing.assert_array_equal(got, expected)
alignment_array = arr[0:]
got = pd.get_data_as_numpy_array(alignment_array, param_type)
expected = np.empty(alignment_array.size, dtype=np.dtype('float32'))
expected.fill(fill_val)
expected[5:11+5] = data
np.testing.assert_array_equal(got, expected)
alignment_array = arr[0:11]
got = pd.get_data_as_numpy_array(alignment_array, param_type)
expected = np.empty(alignment_array.size, dtype=np.dtype('float32'))
expected.fill(fill_val)
expected[5:] = data
expected = np.array([fill_val, fill_val, fill_val, fill_val, fill_val, data, data, data, data, data, data], dtype=np.dtype('float32'))
np.testing.assert_array_equal(got, expected)
pd = ConstantOverTime(name, data, time_end=stop)
alignment_array = arr[10:14]
got = pd.get_data_as_numpy_array(alignment_array, param_type)
expected = np.empty(4, dtype=np.dtype('float32'))
expected.fill(data)
np.testing.assert_array_equal(got, expected)
alignment_array = arr[10:]
got = pd.get_data_as_numpy_array(alignment_array, param_type)
expected = np.empty(11, dtype=np.dtype('float32'))
expected.fill(fill_val)
expected[0:6] = data
np.testing.assert_array_equal(got, expected)
alignment_array = arr[0:]
got = pd.get_data_as_numpy_array(alignment_array, param_type)
expected = np.empty(alignment_array.size, dtype=np.dtype('float32'))
expected.fill(fill_val)
expected[0:11+5] = data
np.testing.assert_array_equal(got, expected)
alignment_array = arr[0:11]
got = pd.get_data_as_numpy_array(alignment_array, param_type)
expected = np.empty(alignment_array.size, dtype=np.dtype('float32'))
expected.fill(data)
np.testing.assert_array_equal(got, expected)
pd = ConstantOverTime(name, data)
alignment_array = arr[10:14]
got = pd.get_data_as_numpy_array(alignment_array, param_type)
expected = np.empty(4, dtype=np.dtype('float32'))
expected.fill(data)
np.testing.assert_array_equal(got, expected)
alignment_array = arr[10:]
got = pd.get_data_as_numpy_array(alignment_array, param_type)
expected = np.empty(11, dtype=np.dtype('float32'))
expected.fill(data)
np.testing.assert_array_equal(got, expected)
alignment_array = arr[0:]
got = pd.get_data_as_numpy_array(alignment_array, param_type)
expected = np.empty(alignment_array.size, dtype=np.dtype('float32'))
expected.fill(data)
np.testing.assert_array_equal(got, expected)
alignment_array = arr[0:11]
got = pd.get_data_as_numpy_array(alignment_array, param_type)
expected = np.empty(alignment_array.size, dtype=np.dtype('float32'))
expected.fill(data)
np.testing.assert_array_equal(got, expected)
