Broken tutorial notebooks

[smartalecH]

monitors.ipynb:

ValueError                                Traceback (most recent call last)
Input In [2], in <cell line: 5>()
      1 eme.reset(full_reset=False)
      3 monitor = eme.add_monitor(axes="xz")
----> 5 eme.propagate()  # propagate at given wavelength
      7 plt.figure()
      8 monitor.visualize(component="n")

File ~/GitHub/emepy/emepy/eme.py:654, in EME.propagate(self, left_coeffs, right_coeffs)
    652 # Update monitors
    653 if self.state >= 6:
--> 654     self.field_propagate(left_coeffs, right_coeffs)
    656 return self.network

File ~/GitHub/emepy/emepy/eme.py:353, in EME.field_propagate(self, left_coeffs, right_coeffs)
    351 just_z_list = [i[1] for i in z_list]
    352 z_index = [i[0] for i in z_list]
--> 353 fields = self._layer_field_propagate_part2(
    354     layer_index,
    355     layer,
    356     left_coeffs[:],
    357     right_coeffs[:],
    358     cur_len * 1,
    359     just_z_list[:],
    360     m,
    361     S,
    362     checked_l_pins,
    363 )
    365 # Update the monitor
    366 for i, f in zip(z_index, fields):

File ~/GitHub/emepy/emepy/eme.py:1063, in EME._layer_field_propagate_part2(self, i, l, left_coeffs, right_coeffs, cur_len, z_list, m, S, checked_l_pins)
   1061 result_list = []
   1062 input_map = self._build_input_array(left_coeffs, right_coeffs, S, m)
-> 1063 coeffs_ = compute(S, input_map, 0)
   1064 coeff_left = np.zeros(len(l.modes), dtype=complex)
   1065 coeff_right = np.zeros(len(l.modes), dtype=complex)

File ~/GitHub/emepy/emepy/models.py:1047, in ModelTools.compute(model, pin_values, freq)
   1045         cfs[key_index[key]] = value
   1046 matrix = model.s_parameters(np.array([freq]))
-> 1047 output = np.matmul(matrix, cfs)[0]
   1048 return dict(zip(pin_names, output))

ValueError: matmul: Input operand 1 has a mismatch in its core dimension 0, with gufunc signature (n?,k),(k,m?)->(n?,m?) (size 4 is different from 2)

taper.ipynb

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Input In [5], in <cell line: 1>()
----> 1 eme.propagate(left_coeffs=[1])

File ~/GitHub/emepy/emepy/eme.py:654, in EME.propagate(self, left_coeffs, right_coeffs)
    652 # Update monitors
    653 if self.state >= 6:
--> 654     self.field_propagate(left_coeffs, right_coeffs)
    656 return self.network

File ~/GitHub/emepy/emepy/eme.py:353, in EME.field_propagate(self, left_coeffs, right_coeffs)
    351 just_z_list = [i[1] for i in z_list]
    352 z_index = [i[0] for i in z_list]
--> 353 fields = self._layer_field_propagate_part2(
    354     layer_index,
    355     layer,
    356     left_coeffs[:],
    357     right_coeffs[:],
    358     cur_len * 1,
    359     just_z_list[:],
    360     m,
    361     S,
    362     checked_l_pins,
    363 )
    365 # Update the monitor
    366 for i, f in zip(z_index, fields):

File ~/GitHub/emepy/emepy/eme.py:1063, in EME._layer_field_propagate_part2(self, i, l, left_coeffs, right_coeffs, cur_len, z_list, m, S, checked_l_pins)
   1061 result_list = []
   1062 input_map = self._build_input_array(left_coeffs, right_coeffs, S, m)
-> 1063 coeffs_ = compute(S, input_map, 0)
   1064 coeff_left = np.zeros(len(l.modes), dtype=complex)
   1065 coeff_right = np.zeros(len(l.modes), dtype=complex)

File ~/GitHub/emepy/emepy/models.py:1047, in ModelTools.compute(model, pin_values, freq)
   1045         cfs[key_index[key]] = value
   1046 matrix = model.s_parameters(np.array([freq]))
-> 1047 output = np.matmul(matrix, cfs)[0]
   1048 return dict(zip(pin_names, output))

ValueError: matmul: Input operand 1 has a mismatch in its core dimension 0, with gufunc signature (n?,k),(k,m?)->(n?,m?) (size 8 is different from 2)

mmi.ipynb

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Input In [1], in <cell line: 164>()
    161 eme.add_layer(Layer(output_channel, num_modes_output, wavelength, output_length))
    163 # Add a monitor
--> 164 monitor = eme.add_monitor(axes="xyz", mesh_z=200)
    166 # Visualize the layout
    167 plt.figure()

File ~/GitHub/emepy/emepy/eme.py:449, in EME.add_monitor(self, axes, sources, mesh_z, z_range, location, components, exempt)
    444 components = ["Ex", "Ey", "Ez", "Hx", "Hy", "Hz", "n"] if components is None else components
    445 if exempt and (self.layers[0].mode_solver.PML and isinstance(self.layers[0].mode_solver, MSEMpy)):
    446     x = (
    447         len(
    448             self.layers[0].mode_solver.x[
--> 449                 self.layers[0].mode_solver.nlayers[1] : -self.layers[0].mode_solver.nlayers[0]
    450             ]
    451         )
    452         + 1
    453     )
    454     y = (
    455         len(
    456             self.layers[0].mode_solver.y[
   (...)
    460         + 1
    461     )
    462 else:

AttributeError: 'MSEMpy' object has no attribute 'nlayers'

bragg_grating.ipynb

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Input In [5], in <cell line: 1>()
----> 1 eme.propagate(left_coeffs=[],right_coeffs=[])

File ~/GitHub/emepy/emepy/eme.py:654, in EME.propagate(self, left_coeffs, right_coeffs)
    652 # Update monitors
    653 if self.state >= 6:
--> 654     self.field_propagate(left_coeffs, right_coeffs)
    656 return self.network

File ~/GitHub/emepy/emepy/eme.py:353, in EME.field_propagate(self, left_coeffs, right_coeffs)
    351 just_z_list = [i[1] for i in z_list]
    352 z_index = [i[0] for i in z_list]
--> 353 fields = self._layer_field_propagate_part2(
    354     layer_index,
    355     layer,
    356     left_coeffs[:],
    357     right_coeffs[:],
    358     cur_len * 1,
    359     just_z_list[:],
    360     m,
    361     S,
    362     checked_l_pins,
    363 )
    365 # Update the monitor
    366 for i, f in zip(z_index, fields):

File ~/GitHub/emepy/emepy/eme.py:1063, in EME._layer_field_propagate_part2(self, i, l, left_coeffs, right_coeffs, cur_len, z_list, m, S, checked_l_pins)
   1061 result_list = []
   1062 input_map = self._build_input_array(left_coeffs, right_coeffs, S, m)
-> 1063 coeffs_ = compute(S, input_map, 0)
   1064 coeff_left = np.zeros(len(l.modes), dtype=complex)
   1065 coeff_right = np.zeros(len(l.modes), dtype=complex)

File ~/GitHub/emepy/emepy/models.py:1047, in ModelTools.compute(model, pin_values, freq)
   1045         cfs[key_index[key]] = value
   1046 matrix = model.s_parameters(np.array([freq]))
-> 1047 output = np.matmul(matrix, cfs)[0]
   1048 return dict(zip(pin_names, output))

ValueError: matmul: Input operand 1 has a mismatch in its core dimension 0, with gufunc signature (n?,k),(k,m?)->(n?,m?) (size 6 is different from 2)

(cc @hammy4815 )

[hammy4815]

@smartalecH ,

This is strange - they run fine on my machine. Let me run a fresh pip installation and test.

[hammy4815]

@smartalecH , mine still works on a fresh pip install. (new condo environment, installed as is on Mac). I'm guessing there is a version incompatibility, possibly from numpy. Which version of numpy are you running? It's unlikely any other dependency.

[smartalecH]

Which version of numpy are you running?

1.23.3

Odd, I'm also on an M1 mac. I'm "building" from a local clone.

[hammy4815]

@smartalecH ,

I tried again building from a fresh local clone, and numpy 1.23.3. I was not able to reproduce your issue, however. Have you tried a fresh conda environment, only installing this package and its dependencies?