old_contents: # -*- coding: utf-8 -*-
  #
  # Copyright (c) 2007-2016 Guillaume Pellerin <yomguy@parisson.com>
  # Copyright (c) 2013-2016 Thomas Fillon <thomas@parisson.com>
  
  # This file is part of TimeSide.
  
  # TimeSide is free software: you can redistribute it and/or modify
  # it under the terms of the GNU General Public License as published by
  # the Free Software Foundation, either version 2 of the License, or
  # (at your option) any later version.
  
  # TimeSide is distributed in the hope that it will be useful,
  # but WITHOUT ANY WARRANTY; without even the implied warranty of
  # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
  # GNU General Public License for more details.
  
  # You should have received a copy of the GNU General Public License
  # along with TimeSide.  If not, see <http://www.gnu.org/licenses/>.
  
  # Authors:
  # - Guillaume Pellerin <yomguy@parisson.com>
  # - Thomas Fillon <thomas@parisson.com>
  
  from timeside.core import implements, interfacedoc
  from timeside.core.analyzer import Analyzer
  from timeside.core.api import IAnalyzer
  import numpy
  
  
  class DummyAnalyzer(Analyzer):
  
      """A dummy analyzer returning random samples from audio frames"""
      implements(IAnalyzer)
  
      @interfacedoc
      def setup(self, channels=None,
                samplerate=None,
                blocksize=None,
                totalframes=None):
          super(DummyAnalyzer, self).setup(
              channels, samplerate, blocksize, totalframes)
          self.values = numpy.array([0])
  
      @staticmethod
      @interfacedoc
      def id():
          return "dummy"
  
      @staticmethod
      @interfacedoc
      def name():
          return "Dummy analyzer"
  
      @staticmethod
      @interfacedoc
      def unit():
          return "None"
  
      def process(self, frames, eod=False):
          size = frames.size
          if size:
              index = numpy.random.randint(0, size, 1)
              self.values = numpy.append(self.values, frames[index])
          return frames, eod
  
      def post_process(self):
          result = self.new_result(data_mode='value', time_mode='global')
          result.data_object.value = self.values
          self.add_result(result)
  
new_contents: # -*- coding: utf-8 -*-
  #
  # Copyright (c) 2007-2016 Guillaume Pellerin <yomguy@parisson.com>
  # Copyright (c) 2013-2016 Thomas Fillon <thomas@parisson.com>
  
  # This file is part of TimeSide.
  
  # TimeSide is free software: you can redistribute it and/or modify
  # it under the terms of the GNU General Public License as published by
  # the Free Software Foundation, either version 2 of the License, or
  # (at your option) any later version.
  
  # TimeSide is distributed in the hope that it will be useful,
  # but WITHOUT ANY WARRANTY; without even the implied warranty of
  # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
  # GNU General Public License for more details.
  
  # You should have received a copy of the GNU General Public License
  # along with TimeSide.  If not, see <http://www.gnu.org/licenses/>.
  
  # Authors:
  # - Guillaume Pellerin <yomguy@parisson.com>
  # - Thomas Fillon <thomas@parisson.com>
  
  from timeside.core import implements, interfacedoc
  from timeside.core.analyzer import Analyzer
  from timeside.core.api import IAnalyzer
  import numpy
  
  
  class DummyAnalyzer(Analyzer):
  
      """A dummy analyzer returning random samples from audio frames"""
      implements(IAnalyzer)
  
      @interfacedoc
      def setup(self, channels=None,
                samplerate=None,
                blocksize=None,
                totalframes=None):
          super(DummyAnalyzer, self).setup(
              channels, samplerate, blocksize, totalframes)
          self.values = numpy.array([0])
  
      @staticmethod
      @interfacedoc
      def id():
          return "dummy"
      
      @staticmethod
      @interfacedoc
      def version():
          return "0.1"
      
      @staticmethod
      @interfacedoc
      def name():
          return "Dummy analyzer"
  
      @staticmethod
      @interfacedoc
      def unit():
          return "None"
  
  @staticmethod
      @interfacedoc
      def name():
          return "Dummy analyzer"    def process(self, frames, eod=False):
          size = frames.size
          if size:
              index = numpy.random.randint(0, size, 1)
              self.values = numpy.append(self.values, frames[index])
          return frames, eod
  
      def post_process(self):
          result = self.new_result(data_mode='value', time_mode='global')
          result.data_object.value = self.values
          self.add_result(result)
  
subject: add version to dummy analyser