Source code for timeside.plugins.analyzer.dc

# -*- coding: utf-8 -*-
#
# Copyright (c) 2007-2009 Guillaume Pellerin <yomguy@parisson.com>

# This file is part of TimeSide.

# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.

# This program 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 Affero General Public License for more details.

# You should have received a copy of the GNU Affero General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.

# Author: Guillaume Pellerin <yomguy@parisson.com>

from timeside.core import implements, interfacedoc
from timeside.core.analyzer import Analyzer
from timeside.core.api import IValueAnalyzer
import numpy


[docs]class MeanDCShift(Analyzer): """Mean DC shift analyzer""" implements(IValueAnalyzer)
[docs] @interfacedoc def setup(self, channels=None, samplerate=None, blocksize=None, totalframes=None): super(MeanDCShift, self).setup( channels, samplerate, blocksize, totalframes) self.values = numpy.array([0])
[docs] @staticmethod @interfacedoc def id(): return "mean_dc_shift"
[docs] @staticmethod @interfacedoc def name(): return "Mean DC shift Analyzer"
[docs] @staticmethod @interfacedoc def unit(): return "%"
[docs] def process(self, frames, eod=False): if frames.size: self.values = numpy.append(self.values, numpy.mean(frames)) return frames, eod
[docs] def post_process(self): dc_result = self.new_result(data_mode='value', time_mode='global') dc_result.data_object.value = numpy.round( numpy.mean(100 * self.values), 3) self.add_result(dc_result)