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//lib/python3/dist-packages/requests_toolbelt/threaded/__init__.py

"""
This module provides the API for ``requests_toolbelt.threaded``.

The module provides a clean and simple API for making requests via a thread
pool. The thread pool will use sessions for increased performance.

A simple use-case is:

.. code-block:: python

from requests_toolbelt import threaded

urls_to_get = [{
        'url': 'https://api.github.com/users/sigmavirus24',
        'method': 'GET',
    }, {
        'url': 'https://api.github.com/repos/sigmavirus24/requests-toolbelt',
        'method': 'GET',
    }, {
        'url': 'https://google.com',
        'method': 'GET',
    }]
    responses, errors = threaded.map(urls_to_get)

By default, the threaded submodule will detect the number of CPUs your
computer has and use that if no other number of processes is selected. To
change this, always use the keyword argument ``num_processes``. Using the
above example, we would expand it like so:

.. code-block:: python

responses, errors = threaded.map(urls_to_get, num_processes=10)

You can also customize how a :class:`requests.Session` is initialized by
creating a callback function:

.. code-block:: python

from requests_toolbelt import user_agent

def initialize_session(session):
        session.headers['User-Agent'] = user_agent('my-scraper', '0.1')
        session.headers['Accept'] = 'application/json'

responses, errors = threaded.map(urls_to_get,
                                     initializer=initialize_session)

.. autofunction:: requests_toolbelt.threaded.map

Inspiration is blatantly drawn from the standard library's multiprocessing
library. See the following references:

- multiprocessing's `pool source`_

- map and map_async `inspiration`_

.. _pool source:
    https://hg.python.org/cpython/file/8ef4f75a8018/Lib/multiprocessing/pool.py
.. _inspiration:
    https://hg.python.org/cpython/file/8ef4f75a8018/Lib/multiprocessing/pool.py#l340
"""
from . import pool
from .._compat import queue

def map(requests, **kwargs):
    r"""Simple interface to the threaded Pool object.

This function takes a list of dictionaries representing requests to make
    using Sessions in threads and returns a tuple where the first item is
    a generator of successful responses and the second is a generator of
    exceptions.

:param list requests:
        Collection of dictionaries representing requests to make with the Pool
        object.
    :param \*\*kwargs:
        Keyword arguments that are passed to the
        :class:`~requests_toolbelt.threaded.pool.Pool` object.
    :returns: Tuple of responses and exceptions from the pool
    :rtype: (:class:`~requests_toolbelt.threaded.pool.ThreadResponse`,
        :class:`~requests_toolbelt.threaded.pool.ThreadException`)
    """
    if not (requests and all(isinstance(r, dict) for r in requests)):
        raise ValueError('map expects a list of dictionaries.')

# Build our queue of requests
    job_queue = queue.Queue()
    for request in requests:
        job_queue.put(request)

# Ensure the user doesn't try to pass their own job_queue
    kwargs['job_queue'] = job_queue

threadpool = pool.Pool(**kwargs)
    threadpool.join_all()
    return threadpool.responses(), threadpool.exceptions()