PycURL: CurlMulti Objects

# CurlMulti Object

CurlMulti objects have the following methods:

`close()` -> None

  Corresponds to `curl_multi_cleanup()` in libcurl. This method is automatically called by pycurl when a CurlMulti object no longer has any references to it, but can also be called explicitly.

`perform()` -> tuple of status and the number of active Curl objects

  Corresponds to `curl_multi_perform()` in libcurl.

`add_handle(`Curl object`)` -> None

  Corresponds to `curl_multi_add_handle()` in libcurl. This method adds an existing and valid Curl object to the CurlMulti object.

  IMPORTANT NOTE: add_handle does not implicitly add a Python reference to the Curl object (and thus does not increase the reference count on the Curl object).

`remove_handle(`Curl object`)` -> None

  Corresponds to `curl_multi_remove_handle()` in libcurl. This method removes an existing and valid Curl object from the CurlMulti object.

  IMPORTANT NOTE: remove_handle does not implicitly remove a Python reference from the Curl object (and thus does not decrease the reference count on the Curl object).

`fdset()` -> triple of lists with active file descriptors, readable, writeable, exceptions.

  Corresponds to `curl_multi_fdset()` in libcurl. This method extracts the file descriptor information from a CurlMulti object. The returned lists can be used with the `select` module to poll for events.

  Example usage:

      import pycurl
      c = pycurl.Curl()
      c.setopt(pycurl.URL, "http://curl.haxx.se")
      m = pycurl.CurlMulti()
      m.add_handle(c)
      while 1:
          ret, num_handles = m.perform()
          if ret != pycurl.E_CALL_MULTI_PERFORM: break
      while num_handles:
          apply(select.select, m.fdset() + (1,))
          while 1:
              ret, num_handles = m.perform()
              if ret != pycurl.E_CALL_MULTI_PERFORM: break

`select(`timeout`)` -> number of ready file descriptors or -1 on timeout

  This is a convenience function which simplifies the combined use of `fdset()` and the `select` module.

  Example usage:

      import pycurl
      c = pycurl.Curl()
      c.setopt(pycurl.URL, "http://curl.haxx.se")
      m = pycurl.CurlMulti()
      m.add_handle(c)
      while 1:
          ret, num_handles = m.perform()
          if ret != pycurl.E_CALL_MULTI_PERFORM: break
      while num_handles:
          ret = m.select(1.0)
          if ret == -1:  continue
          while 1:
              ret, num_handles = m.perform()
              if ret != pycurl.E_CALL_MULTI_PERFORM: break

`info_read(`[max]`)` -> numberof queued messages, a list of successful objects, a list of failed objects

  Corresponds to the `curl_multi_info_read()` function in libcurl. This method extracts at most max messages from the multi stack and returns them in two lists. The first list contains the handles which completed successfully and the second list contains a tuple <curl object, curl error number, curl error message> for each failed curl object. The number of queued messages after this method has been called is also returned.