Beispiel #1
0
 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])
Beispiel #4
0
 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)