
"pools" - Generic pools of resources
************************************

class eventlet.pools.Pool(min_size=0, max_size=4, order_as_stack=False, create=None)

   Pool class implements resource limitation and construction.

   There are two ways of using Pool: passing a *create* argument or
   subclassing. In either case you must provide a way to create the
   resource.

   When using *create* argument, pass a function with no arguments:

      http_pool = pools.Pool(create=httplib2.Http)

   If you need to pass arguments, build a nullary function with either
   *lambda* expression:

      http_pool = pools.Pool(create=lambda: httplib2.Http(timeout=90))

   or "functools.partial()":

      from functools import partial
      http_pool = pools.Pool(create=partial(httplib2.Http, timeout=90))

   When subclassing, define only the "create()" method to implement
   the desired resource:

      class MyPool(pools.Pool):
          def create(self):
              return MyObject()

   If using 2.5 or greater, the "item()" method acts as a context
   manager; that's the best way to use it:

      with mypool.item() as thing:
          thing.dostuff()

   The maximum size of the pool can be modified at runtime via the
   "resize()" method.

   Specifying a non-zero *min-size* argument pre-populates the pool
   with *min_size* items.  *max-size* sets a hard limit to the size of
   the pool -- it cannot contain any more items than *max_size*, and
   if there are already *max_size* items 'checked out' of the pool,
   the pool will cause any greenthread calling "get()" to
   cooperatively yield until an item is "put()" in.

   create()

      Generate a new pool item.  In order for the pool to function,
      either this method must be overriden in a subclass or the pool
      must be constructed with the *create* argument. It accepts no
      arguments and returns a single instance of whatever thing the
      pool is supposed to contain.

      In general, "create()" is called whenever the pool exceeds its
      previous high-water mark of concurrently-checked-out-items.  In
      other words, in a new pool with *min_size* of 0, the very first
      call to "get()" will result in a call to "create()".  If the
      first caller calls "put()" before some other caller calls
      "get()", then the first item will be returned, and "create()"
      will not be called a second time.

   free()

      Return the number of free items in the pool.  This corresponds
      to the number of "get()" calls needed to empty the pool.

   get()

      Return an item from the pool, when one is available.  This may
      cause the calling greenthread to block.

   item()

      Get an object out of the pool, for use with with statement.

      >>> from eventlet import pools
      >>> pool = pools.TokenPool(max_size=4)
      >>> with pool.item() as obj:
      ...     print("got token")
      ...
      got token
      >>> pool.free()
      4

   put(item)

      Put an item back into the pool, when done.  This may cause the
      putting greenthread to block.

   resize(new_size)

      Resize the pool to *new_size*.

      Adjusting this number does not affect existing items checked out
      of the pool, nor on any greenthreads who are waiting for an item
      to free up.  Some indeterminate number of "get()"/"put()" cycles
      will be necessary before the new maximum size truly matches the
      actual operation of the pool.

   waiting()

      Return the number of routines waiting for a pool item.

class eventlet.pools.TokenPool(min_size=0, max_size=4, order_as_stack=False, create=None)

   A pool which gives out tokens (opaque unique objects), which
   indicate that the coroutine which holds the token has a right to
   consume some limited resource.
