Test of the True/False values in the grid when it is adapted to the data

[SimonPetrusPro]

In adapt_grid.py, I have noted some issues with the line:

if len(np.where(nan_mod_ind is False)[0]) == 0:

I am using a new grid (6 parameters) and I got this error:

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
-> To compare synthetic spectra with the observation we need to manage them. The following actions are performed:
- extraction -
- resizing on the observation's wavelength range -
- adjustement of the spectral resolution -
- substraction of the continuum (if needed) -

- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
-> Sarting the adaptation of test_data
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
File ~/miniforge3/envs/env_formosa/lib/python3.13/site-packages/spyder_kernels/customize/utils.py:209, in exec_encapsulate_locals(code_ast, globals, locals, exec_fun, filename)
    207     if filename is None:
    208         filename = "<stdin>"
--> 209     exec_fun(compile(code_ast, filename, "exec"), globals, None)
    210 finally:
    211     if use_locals_hack:
    212         # Cleanup code

File ~/Documents/HWO_paper/test_formosa/fit_loops.py:40
     36 adapt_yn = 'no'
     38 global_params = GlobFile(path_config)
---> 40 launch_adapt(global_params, justobs=adapt_yn)
     42 launch_nested_sampling(global_params)
     45 plotForMoSA = PlottingForMoSA(path_config, 'magenta')

File ~/Documents/HWO_paper/formosaic/ForMoSA/ForMoSA/adapt/adapt_obs_mod.py:145, in launch_adapt(global_params, justobs)
    142 print('- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -')
    143 print(f"-> Sarting the adaptation of {obs_name}")
--> 145 adapt_grid(global_params, obs_spectro_merge[0], obs_photo[0], res_mod_obs_merge, obs_name=obs_name, indobs=indobs)

File ~/Documents/HWO_paper/formosaic/ForMoSA/ForMoSA/adapt/adapt_grid.py:113, in adapt_grid(global_params, wav_obs_spectro, wav_obs_photo, res_mod_obs_merge, obs_name, indobs)
    111 model_to_adapt = grid_np[:, p1_i, p2_i, p3_i, p4_i, p5_i, p6_i]
    112 nan_mod_ind = ~np.isnan(model_to_adapt)
--> 113 print(len(np.where(nan_mod_ind is False)[0]))
    114 import sys
    115 sys.exit()

ValueError: Calling nonzero on 0d arrays is not allowed. Use np.atleast_1d(scalar).nonzero() instead. If the context of this error is of the form `arr[nonzero(cond)]`, just use `arr[cond]`.

Apparently, when I replace the "is" by "==" the error is corrected.