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# parallel.client.remotefunction

## Module: `parallel.client.remotefunction`

Inheritance diagram for `IPython.parallel.client.remotefunction`:

Remote Functions and decorators for Views.

Authors:

- Brian Granger
- Min RK

## Classes

### `ParallelFunction`

class `IPython.parallel.client.remotefunction.``ParallelFunction`(view, f, dist='b', block=None, chunksize=None, **flags)

  Bases: `IPython.parallel.client.remotefunction.RemoteFunction`

  Class for mapping a function to sequences.

  This will distribute the sequences according the a mapper, and call the function on each sub-sequence. If called via map, then the function will be called once on each element, rather that each sub-sequence.

  Parameters : | view : View instance The view to be used for execution f : callable The function to be wrapped into a remote function dist : str [default: ‘b’] The key for which mapObject to use to distribute sequences options are: ‘b’ : use contiguous chunks in order ‘r’ : use round-robin striping block : bool [default: None] Whether to wait for results or not. The default behavior is to use the current block attribute of view chunksize : int or None The size of chunk to use when breaking up sequences in a load-balanced manner **flags : remaining kwargs are passed to View.temp_flags

  `__init__`(view, f, dist='b', block=None, chunksize=None, **flags)
  `block` = None
  `chunksize` = None
  `flags` = None
  `func` = None
  `map`(*sequences)

    call a function on each element of a sequence remotely. This should behave very much like the builtin map, but return an AsyncMapResult if self.block is False.

  `mapObject` = None
  `view` = None

### `RemoteFunction`

class `IPython.parallel.client.remotefunction.``RemoteFunction`(view, f, block=None, **flags)

  Bases: `object`

  Turn an existing function into a remote function.

  Parameters : | view : View instance The view to be used for execution f : callable The function to be wrapped into a remote function block : bool [default: None] Whether to wait for results or not. The default behavior is to use the current block attribute of view **flags : remaining kwargs are passed to View.temp_flags

  `__init__`(view, f, block=None, **flags)
  `block` = None
  `flags` = None
  `func` = None
  `view` = None

## Functions

`IPython.parallel.client.remotefunction.``parallel`(view, dist='b', block=None, **flags)

  Turn a function into a parallel remote function.

  This method can be used for map:

  In [1]: @parallel(view, block=True)
    ...: def func(a): ...: pass

`IPython.parallel.client.remotefunction.``remote`(view, block=None, **flags)

  Turn a function into a remote function.

  This method can be used for map:

  In [1]: @remote(view,block=True)
    ...: def func(a): ...: pass

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