def GetUserTimeline(self, user=None, count=None, since=None, since_id=None):
    try:
      if count:
        int(count)
    except:
      raise TwitterError("Count must be an integer")
    parameters = {}
    if count:
      parameters['count'] = count
    if since:
      parameters['since'] = since
    if since_id:
      parameters['since_id'] = since_id
    if user:
      url = TWITTER_API_ROOT + 'statuses/user_timeline/%s.json' % user
    elif not user and not self._username:
      raise TwitterError("User must be specified if API is not authenticated.")
    else:
      url = TWITTER_API_ROOT + 'statuses/user_timeline.json'
    json = self._FetchUrl(url, parameters=parameters)
    data = simplejson.loads(json)
    self._CheckForTwitterError(data)
    return [Status.NewFromJsonDict(x) for x in data]
A brick implementing a single layer in a multi-scale convolutional network.
dataset/ETHPy150Open livid/v2ex/twitter/twitter.py/Api.GetUserTimeline--crossover with--dataset/ETHPy150Open Sohl-Dickstein/Diffusion-Probabilistic-Models/regression.py/MultiScaleConvolution.__init__