def _createRandomizedNumpyArrays(self, binLen, starts, ends, vals, strands, ids, edges, weights, extras, origTrackFormat, region): if self._minimal: return numpy.array([]), None, None, None, None, None, None, OrderedDict() intensityTV = PlainTrack(self._trackNameIntensity).getTrackView(region) if len(intensityTV.valsAsNumpyArray())==0: raise InvalidRunSpecException('Error: No intensity data available for sampling randomized locations in region' + \ str(region) + \ '. Please check that the intensity track was created with the same main track that is being randomized in this analysis.') #intensityTV = PlainTrack(self._trackNameIntensity).getTrackView(self._origRegion) #Dependence on origRegion is not nice, but not a big problem.. if intensityTV.trackFormat.isDense(): assert intensityTV.trackFormat.isValued('number') return self._createRandomizedNumpyArraysFromIntensityFunction(binLen, starts, ends, vals, strands, ids, edges, weights, extras, intensityTV) else: raise NotImplementedError
def _createRandomizedNumpyArrays(self, binLen, starts, ends, vals, strands, ids, edges, weights, extras, origTrackFormat, region): if self._minimal: return numpy.array( []), None, None, None, None, None, None, OrderedDict() intensityTV = PlainTrack(self._trackNameIntensity).getTrackView(region) if len(intensityTV.valsAsNumpyArray()) == 0: raise InvalidRunSpecException('Error: No intensity data available for sampling randomized locations in region' + \ str(region) + \ '. Please check that the intensity track was created with the same main track that is being randomized in this analysis.') #intensityTV = PlainTrack(self._trackNameIntensity).getTrackView(self._origRegion) #Dependence on origRegion is not nice, but not a big problem.. if intensityTV.trackFormat.isDense(): assert intensityTV.trackFormat.isValued('number') return self._createRandomizedNumpyArraysFromIntensityFunction( binLen, starts, ends, vals, strands, ids, edges, weights, extras, intensityTV) else: raise NotImplementedError