fix up verboseness & warnings

Author: TomDonoghue

specparam/objs/event.py

@@ -68,8 +68,8 @@ def __init__(self, *args, **kwargs):
         BaseObject3D.__init__(self,
                               aperiodic_mode=kwargs.pop('aperiodic_mode', 'fixed'),
                               periodic_mode=kwargs.pop('periodic_mode', 'gaussian'),
-                              debug_mode=kwargs.pop('debug_mode', 'False'),
-                              verbose=kwargs.pop('verbose', 'True'))
+                              debug_mode=kwargs.pop('debug_mode', False),
+                              verbose=kwargs.pop('verbose', True))
 
         SpectralFitAlgorithm.__init__(self, *args, **kwargs)
 
@@ -222,8 +222,7 @@ def to_df(self, peak_org=None):
     def _check_width_limits(self):
         """Check and warn about bandwidth limits / frequency resolution interaction."""
 
-        # Only check & warn on first spectrogram
+        # Only check & warn on first spectrum
         #   This is to avoid spamming standard output for every spectrogram in the set
-        if np.all(self.spectrograms[0] == self.spectrogram):
-        #if self.power_spectra[0, 0] == self.power_spectrum[0]:
+        if np.all(self.power_spectrum == self.spectrograms[0, :, 0]):
             super()._check_width_limits()

specparam/objs/group.py

@@ -74,8 +74,8 @@ def __init__(self, *args, **kwargs):
         BaseObject2D.__init__(self,
                               aperiodic_mode=kwargs.pop('aperiodic_mode', 'fixed'),
                               periodic_mode=kwargs.pop('periodic_mode', 'gaussian'),
-                              debug_mode=kwargs.pop('debug_mode', 'False'),
-                              verbose=kwargs.pop('verbose', 'True'))
+                              debug_mode=kwargs.pop('debug_mode', False),
+                              verbose=kwargs.pop('verbose', True))
 
         SpectralFitAlgorithm.__init__(self, *args, **kwargs)
 

specparam/objs/results.py

@@ -339,7 +339,8 @@ class BaseResults2D(BaseResults):
 
     def __init__(self, aperiodic_mode, periodic_mode, debug_mode=False, verbose=True):
 
-        BaseResults.__init__(self, aperiodic_mode, periodic_mode, debug_mode=False, verbose=True)
+        BaseResults.__init__(self, aperiodic_mode, periodic_mode,
+                             debug_mode=debug_mode, verbose=verbose)
 
         self._reset_group_results()
 
@@ -615,7 +616,8 @@ class BaseResults2DT(BaseResults2D):
 
     def __init__(self, aperiodic_mode, periodic_mode, debug_mode=False, verbose=True):
 
-        BaseResults2D.__init__(self, aperiodic_mode, periodic_mode, debug_mode=False, verbose=True)
+        BaseResults2D.__init__(self, aperiodic_mode, periodic_mode,
+                               debug_mode=debug_mode, verbose=verbose)
 
         self._reset_time_results()
 
@@ -756,7 +758,8 @@ class BaseResults3D(BaseResults2DT):
 
     def __init__(self, aperiodic_mode, periodic_mode, debug_mode=False, verbose=True):
 
-        BaseResults2DT.__init__(self, aperiodic_mode, periodic_mode, debug_mode=False, verbose=True)
+        BaseResults2DT.__init__(self, aperiodic_mode, periodic_mode,
+                                debug_mode=debug_mode, verbose=verbose)
 
         self._reset_event_results()
 

specparam/objs/time.py

@@ -1,5 +1,7 @@
 """Time model object and associated code for fitting the model to spectrograms."""
 
+import numpy as np
+
 from specparam.objs import SpectralModel
 from specparam.objs.base import BaseObject2DT
 from specparam.objs.algorithm import SpectralFitAlgorithm
@@ -60,8 +62,8 @@ def __init__(self, *args, **kwargs):
         BaseObject2DT.__init__(self,
                                aperiodic_mode=kwargs.pop('aperiodic_mode', 'fixed'),
                                periodic_mode=kwargs.pop('periodic_mode', 'gaussian'),
-                               debug_mode=kwargs.pop('debug_mode', 'False'),
-                               verbose=kwargs.pop('verbose', 'True'))
+                               debug_mode=kwargs.pop('debug_mode', False),
+                               verbose=kwargs.pop('verbose', True))
 
         SpectralFitAlgorithm.__init__(self, *args, **kwargs)
 
@@ -156,3 +158,12 @@ def to_df(self, peak_org=None):
             df = dict_to_df(self.get_results())
 
         return df
+
+
+    def _check_width_limits(self):
+        """Check and warn about bandwidth limits / frequency resolution interaction."""
+
+        # Only check & warn on first power spectrum
+        #   This is to avoid spamming standard output for every spectrum in the group
+        if np.all(self.power_spectrum == self.spectrogram[:, 0]):
+            super()._check_width_limits()