commiting changes to suppress output; necessary for fast calculation in active mode
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				| @ -218,7 +218,7 @@ class AICcf(CharacteristicFunction): | ||||
| 
 | ||||
|     def calcCF(self, data): | ||||
| 
 | ||||
|         print 'Calculating AIC ...' | ||||
|         #print 'Calculating AIC ...'  ## MP MP output suppressed | ||||
|         x = self.getDataArray() | ||||
|         xnp = x[0].data | ||||
|         nn = np.isnan(xnp) | ||||
| @ -260,7 +260,7 @@ class HOScf(CharacteristicFunction): | ||||
|             y = np.power(xnp, 3) | ||||
|             y1 = np.power(xnp, 2) | ||||
|         elif self.getOrder() == 4:  # this is kurtosis | ||||
|             print 'Calculating kurtosis ...' | ||||
|             #print 'Calculating kurtosis ...'  ## MP MP output suppressed | ||||
|             y = np.power(xnp, 4) | ||||
|             y1 = np.power(xnp, 2) | ||||
| 
 | ||||
|  | ||||
| @ -43,7 +43,13 @@ def earllatepicker(X, nfac, TSNR, Pick1, iplot=None): | ||||
|     LPick = None | ||||
|     EPick = None | ||||
|     PickError = None | ||||
| <<<<<<< Updated upstream | ||||
|     print ("earllatepicker: Get earliest and latest possible pick relative to most likely pick ...") | ||||
| ======= | ||||
|     # MP MP ++ output suppressed | ||||
|     #print 'earllatepicker: Get earliest and latest possible pick relative to most likely pick ...' | ||||
|     # MP MP -- | ||||
| >>>>>>> Stashed changes | ||||
| 
 | ||||
|     x = X[0].data | ||||
|     t = np.arange(0, X[0].stats.npts / X[0].stats.sampling_rate, | ||||
|  | ||||
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