# 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 retweets_me(status, self.screen_name):
            logger.debug("{0} is a retweet".format(status.id))
            return

        if not status_mentions(status, self.screen_name):
            logger.debug("{0} doesn't mention {1}".format(status.id, self.screen_name))
            return

        prefix = '@{0} '.format(sender_name)
        reply = self.get_reply(status.id, status.entities, TWEET_MAX_LENGTH - len(prefix), messages.StatusMessages)
        status_text = prefix + reply
        if self.silent:
            return
        return self.api, 'update_status', (status_text,), dict(in_reply_to_status_id=status.id)

    def get_reply(self, status_id, entities, max_length, messages):
        maybe_image_url = url_from_entities(entities)

        if not maybe_image_url:
            logger.debug("{0} doesn't have a URL".format(status_id))
            return messages.give_me_an_image()

        try:
            y = self.classifier.classify(url=maybe_image_url)
        except exc.TimeoutError:
            logger.debug("{0} timed out while classifying {1}".format(status_id, maybe_image_url))
            return messages.took_too_long()
        except exc.NotImage:
            logger.debug("{0} no image found at {1}".format(status_id, maybe_image_url))
            return messages.not_an_image()

# 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 retweets_me(status, self.screen_name):
            logger.debug("{0} is a retweet".format(status.id))
            return

        if not status_mentions(status, self.screen_name):
            logger.debug("{0} doesn't mention {1}".format(status.id, self.screen_name))
            return

        prefix = '@{0} '.format(sender_name)
        reply = self.get_reply(status.id, status.entities, TWEET_MAX_LENGTH - len(prefix), messages.StatusMessages)
        status_text = prefix + reply
        if self.silent:
            return
        return self.api, 'update_status', (status_text,), dict(in_reply_to_status_id=status.id)

    def get_reply(self, status_id, entities, max_length, messages):
        maybe_image_url = url_from_entities(entities)

        if not maybe_image_url:
            logger.debug("{0} doesn't have a URL".format(status_id))
            return messages.give_me_an_image()

        try:
            y = self.classifier.classify(url=maybe_image_url)
        except exc.TimeoutError:
            logger.debug("{0} timed out while classifying {1}".format(status_id, maybe_image_url))
            return messages.took_too_long()
        except exc.NotImage:
            logger.debug("{0} no image found at {1}".format(status_id, maybe_image_url))
            return messages.not_an_image()

        except exc.RemoteError as e: