def matlab_fn_as_matlab_input_data(self, filename):
data = load_json(os.path.join('shrp', filename))
mag, index = two_max(data['x'],
int(data['lowerbound']) - 1,
int(data['upperbound']) - 1, data['unitlen'])
np.testing.assert_array_almost_equal(mag, data['mag'])
np.testing.assert_array_almost_equal(index, int(data['index']) - 1)
def matlab_fn_as_matlab_input_data(self, filename):
data = load_json(os.path.join('shrp',filename))
mag, index = two_max(data['x'],
int(data['lowerbound'])-1,
int(data['upperbound'])-1,
data['unitlen'])
np.testing.assert_array_almost_equal(mag, data['mag'])
np.testing.assert_array_almost_equal(index, int(data['index'])-1)
def test_second_peak_index(self):
data = loadmat("twomax_data")
x = data["x"]
for i in range(142, 146):
# Zap the values in the second peak range to exercise the branch.
x[i] = 0.0001 * i
mag, index = two_max(x, int(data["lowerbound"]) - 1, int(data["upperbound"]) - 1, data["unitlen"])
np.testing.assert_array_almost_equal(mag, np.append(data["mag"], 0.0145))
np.testing.assert_array_equal(index, [int(data["index"]) - 1, 145])
def test_second_peak_index(self):
data = load_json(os.path.join('shrp', 'twomax_data'))
x = data['x']
for i in range(142, 146):
# Zap the values in the second peak range to exercise the branch.
x[i] = 0.0001 * i
mag, index = two_max(x,
int(data['lowerbound']) - 1,
int(data['upperbound']) - 1, data['unitlen'])
np.testing.assert_array_almost_equal(mag,
np.append(data['mag'], 0.0145))
np.testing.assert_array_equal(index, [int(data['index']) - 1, 145])
def test_second_peak_index(self):
data = load_json(os.path.join('shrp', 'twomax_data'))
x = data['x']
for i in range(142, 146):
# Zap the values in the second peak range to exercise the branch.
x[i] = 0.0001*i
mag, index = two_max(x,
int(data['lowerbound'])-1,
int(data['upperbound'])-1,
data['unitlen'])
np.testing.assert_array_almost_equal(mag,
np.append(data['mag'], 0.0145))
np.testing.assert_array_equal(index, [int(data['index'])-1, 145])
def matlab_fn_as_matlab_input_data(self, filename):
data = loadmat(filename)
mag, index = two_max(data["x"], int(data["lowerbound"]) - 1, int(data["upperbound"]) - 1, data["unitlen"])
np.testing.assert_array_almost_equal(mag, data["mag"])
np.testing.assert_array_almost_equal(index, int(data["index"]) - 1)
