debugging..

spacetelescope · Sep 6, 2024 · 0cad4a8 · 0cad4a8
1 parent ab9a242
commit 0cad4a8
Show file tree

Hide file tree

Showing 2 changed files with 0 additions and 9 deletions.
diff --git a/jdaviz/configs/default/plugins/model_fitting/fitting_backend.py b/jdaviz/configs/default/plugins/model_fitting/fitting_backend.py
@@ -70,8 +70,6 @@ def fit_model_to_spectrum(spectrum, component_list, expression,
     initial_model = _build_model(component_list, expression)
 
     if len(spectrum.shape) > 1:
-        print('initial model', initial_model)
-        print('spectrum unit', spectrum.unit)
         return _fit_3D(initial_model, spectrum, window=window, n_cpu=n_cpu)
     else:
         return _fit_1D(initial_model, spectrum, run_fitter, window=window)
@@ -198,10 +196,7 @@ def collect_result(results):
                                   window=window,
                                   mask=spectrum.mask)
             r = pool.apply_async(worker, callback=collect_result)
-
-            print(f'fitting spectrum.flux {spectrum.flux.unit} spectral_axis {spectrum.spectral_axis} initial model {initial_model}')
             results.append(r)
-            print(f'result {r}')
         for r in results:
             r.wait()
 

diff --git a/jdaviz/configs/default/plugins/model_fitting/model_fitting.py b/jdaviz/configs/default/plugins/model_fitting/model_fitting.py
@@ -450,8 +450,6 @@ def create_model_component(self, model_component=None, model_component_label=Non
         self._update_model_equation_default()
 
     def _initialize_model_component(self, model_comp, comp_label, poly_order=None):
-        print(f'in initialize model component, model_comp={model_comp}, comp_label={comp_label}')
-
         new_model = {"id": comp_label, "model_type": model_comp,
                      "parameters": [], "model_kwargs": {}}
         model_cls = MODELS[model_comp]
@@ -471,7 +469,6 @@ def _initialize_model_component(self, model_comp, comp_label, poly_order=None):
             default_param = getattr(model_cls, param_name, _EmptyParam(0))
             default_units = self._param_units(param_name,
                                               model_type=new_model["model_type"])
-            print(f'{param_name} default units', default_units)
 
             if default_param.unit is None:
                 # then the model parameter accepts unitless, but we want
@@ -885,7 +882,6 @@ def _fit_model_to_spectrum(self, add_data):
         return fitted_model, fitted_spectrum
 
     def _fit_model_to_cube(self, add_data):
-        print('in fit model to cube')
 
         if self._warn_if_no_equation():
             return