# Path: deepanimebot/decorators.py
# def timeout(max_timeout):
#     """Timeout decorator, parameter in seconds."""
#     def timeout_decorator(f):
#         """Wrap the original function."""
#         @functools.wraps(f)
#         def func_wrapper(self, *args, **kwargs):
#             """Closure for function."""
#             pool = multiprocessing.pool.ThreadPool(processes=1)
#             async_result = pool.apply_async(f, (self,) + args, kwargs)
#             timeout = kwargs.pop('timeout_max_timeout', max_timeout) or max_timeout
#             # raises a TimeoutError if execution exceeds max_timeout
#             return async_result.get(timeout)
#         return func_wrapper
#     return timeout_decorator
# 
# Path: deepanimebot/shortcuts.py
# def at_random(*messages):
#     return random.choice(messages)


import cv2
import numpy as np
import h5py
import requests
import data
import deploy
from .decorators import timeout
from . import exceptions as exc
from .shortcuts import at_random
# -*- coding: utf-8 -*-





@timeout(30)
def fetch_cvimage_from_url(url, maxsize=10 * 1024 * 1024):
    req = requests.get(url, timeout=5, stream=True)
    content = ''
    for chunk in req.iter_content(2048):
        content += chunk
        if len(content) > maxsize:

# Path: deepanimebot/decorators.py
# def timeout(max_timeout):
#     """Timeout decorator, parameter in seconds."""
#     def timeout_decorator(f):
#         """Wrap the original function."""
#         @functools.wraps(f)
#         def func_wrapper(self, *args, **kwargs):
#             """Closure for function."""
#             pool = multiprocessing.pool.ThreadPool(processes=1)
#             async_result = pool.apply_async(f, (self,) + args, kwargs)
#             timeout = kwargs.pop('timeout_max_timeout', max_timeout) or max_timeout
#             # raises a TimeoutError if execution exceeds max_timeout
#             return async_result.get(timeout)
#         return func_wrapper
#     return timeout_decorator
# 
# Path: deepanimebot/shortcuts.py
# def at_random(*messages):
#     return random.choice(messages)


# Path: deepanimebot/classifiers.py
import cv2
import numpy as np
import h5py
import requests
import data
import deploy
from .decorators import timeout
from . import exceptions as exc
from .shortcuts import at_random

# -*- coding: utf-8 -*-





@timeout(30)
def fetch_cvimage_from_url(url, maxsize=10 * 1024 * 1024):
    req = requests.get(url, timeout=5, stream=True)
    content = ''
    for chunk in req.iter_content(2048):
        content += chunk
        if len(content) > maxsize:

            req.close()