# Path: deepanimebot/classifiers.py
# def fetch_cvimage_from_url(url, maxsize=10 * 1024 * 1024):
#     def classify(self, *args, **kwargs):
#     def __init__(self, dataset_path, input_shape, model_name='model'):
#     def classify(self, cvimage):
#     def __init__(self, image_classifier):
#     def classify(self, url=None):
#     def __init__(self, base_url):
#     def classify(self, **params):
# class MockClassifier(object):
# class ImageClassifier(object):
# class URLClassifier(object):
# class RemoteClassifier(object):
# 
# Path: deepanimebot/exceptions.py
# class NotImage(Exception): pass
# class RemoteError(Exception): pass
# 
# Path: deepanimebot/messages.py
# class Messages(object):
# class StatusMessages(Messages):
# class DMMessages(Messages):
#     def took_too_long():
#     def something_went_wrong():
#     def not_an_image():
#     def unknown_image():
#     def my_guess(cls, y, top_n=3, max_length=None, preface="Probable Anime:"):
#     def give_me_an_image():
#     def give_me_an_image():


import functools
import logging
import os
import random
import time
import tweepy
import deploy
import gceutil
    import configargparse
from deepanimebot import classifiers
from deepanimebot import exceptions as exc
from deepanimebot import messages
        if not rv:
            return
        api, action, args, kwargs = rv

        end = start + random.randint(1, 5)
        sleep = end - time.time()
        if sleep > 0:
            time.sleep(sleep)

        return getattr(api, action)(*args, **kwargs)
    return wrapper


class ReplyToTweet(tweepy.StreamListener):
    def __init__(self, screen_name, classifier, api=None, silent=False):
        super(ReplyToTweet, self).__init__(api)
        self.screen_name = screen_name
        self.classifier = classifier
        self.silent = silent

    @wait_like_a_human
    def on_direct_message(self, data):
        status = data.direct_message
        sender_name = status['sender']['screen_name']

        if sender_name == self.screen_name:
            return

        logger.debug(u"{0} incoming dm {1}".format(status['id'], status['text']))


# Path: deepanimebot/classifiers.py
# def fetch_cvimage_from_url(url, maxsize=10 * 1024 * 1024):
#     def classify(self, *args, **kwargs):
#     def __init__(self, dataset_path, input_shape, model_name='model'):
#     def classify(self, cvimage):
#     def __init__(self, image_classifier):
#     def classify(self, url=None):
#     def __init__(self, base_url):
#     def classify(self, **params):
# class MockClassifier(object):
# class ImageClassifier(object):
# class URLClassifier(object):
# class RemoteClassifier(object):
# 
# Path: deepanimebot/exceptions.py
# class NotImage(Exception): pass
# class RemoteError(Exception): pass
# 
# Path: deepanimebot/messages.py
# class Messages(object):
# class StatusMessages(Messages):
# class DMMessages(Messages):
#     def took_too_long():
#     def something_went_wrong():
#     def not_an_image():
#     def unknown_image():
#     def my_guess(cls, y, top_n=3, max_length=None, preface="Probable Anime:"):
#     def give_me_an_image():
#     def give_me_an_image():


# Path: deepanimebot/bot.py
import functools
import logging
import os
import random
import time
import tweepy
import deploy
import gceutil
    import configargparse
from deepanimebot import classifiers
from deepanimebot import exceptions as exc
from deepanimebot import messages

        if not rv:
            return
        api, action, args, kwargs = rv

        end = start + random.randint(1, 5)
        sleep = end - time.time()
        if sleep > 0:
            time.sleep(sleep)

        return getattr(api, action)(*args, **kwargs)
    return wrapper


class ReplyToTweet(tweepy.StreamListener):
    def __init__(self, screen_name, classifier, api=None, silent=False):
        super(ReplyToTweet, self).__init__(api)
        self.screen_name = screen_name
        self.classifier = classifier
        self.silent = silent

    @wait_like_a_human
    def on_direct_message(self, data):
        status = data.direct_message
        sender_name = status['sender']['screen_name']

        if sender_name == self.screen_name:
            return

        logger.debug(u"{0} incoming dm {1}".format(status['id'], status['text']))


        reply = self.get_reply(status['id'], status['entities'], TWEET_MAX_LENGTH - len('d {} '.format(sender_name)), messages.DMMessages)