from collections import OrderedDict
import h5py
import h5tools
+import os
numpy_data_types = [
>>> d = timeside.decoder.FileDecoder(wavFile, start=1)
>>> a = timeside.analyzer.Analyzer()
- >>> (d|a).run() #doctest: +SKIP
- >>> a.new_result() #doctest: +SKIP
+ >>> (d|a).run() #doctest: %s
+ >>> a.new_result() #doctest: %s
FrameValueResult(id_metadata=IdMetadata(id='analyzer', name='Generic analyzer', unit='', description='', date='...', version='...', author='TimeSide', uuid='...'), data_object=DataObject(value=array([], dtype=float64)), audio_metadata=AudioMetadata(uri='http://...', start=1.0, duration=7..., is_segment=True, channels=None, channelsManagement=''), frame_metadata=FrameMetadata(samplerate=44100, blocksize=8192, stepsize=8192), parameters={})
>>> resContainer = timeside.analyzer.core.AnalyzerResultContainer()
- '''
+ ''' % (doctest_option, doctest_option)
def __init__(self, analyzer_results=None):
super(AnalyzerResultContainer, self).__init__()