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# parallel.util

## Module: `parallel.util`

Inheritance diagram for `IPython.parallel.util`:

some generic utilities for dealing with classes, urls, and serialization

Authors:

- Min RK

## Classes

### `Namespace`

class `IPython.parallel.util.``Namespace`

  Bases: `dict`

  Subclass of dict for attribute access to keys.

  `__init__`()

    x.__init__(...) initializes x; see x.__class__.__doc__ for signature

  `clear`

    D.clear() -> None. Remove all items from D.

  `copy`

    D.copy() -> a shallow copy of D

  static `fromkeys`(S[, v]) → New dict with keys from S and values equal to v.

    v defaults to None.

  `get`

    D.get(k[,d]) -> D[k] if k in D, else d. d defaults to None.

  `has_key`

    D.has_key(k) -> True if D has a key k, else False

  `items`

    D.items() -> list of D’s (key, value) pairs, as 2-tuples

  `iteritems`

    D.iteritems() -> an iterator over the (key, value) items of D

  `iterkeys`

    D.iterkeys() -> an iterator over the keys of D

  `itervalues`

    D.itervalues() -> an iterator over the values of D

  `keys`

    D.keys() -> list of D’s keys

  `pop`

    D.pop(k[,d]) -> v, remove specified key and return the corresponding value. If key is not found, d is returned if given, otherwise KeyError is raised

  `popitem`

    D.popitem() -> (k, v), remove and return some (key, value) pair as a 2-tuple; but raise KeyError if D is empty.

  `setdefault`

    D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D

  `update`

    D.update(E, **F) -> None. Update D from dict/iterable E and F. If E has a .keys() method, does: for k in E: D[k] = E[k] If E lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]

  `values`

    D.values() -> list of D’s values

### `ReverseDict`

class `IPython.parallel.util.``ReverseDict`(*args, **kwargs)

  Bases: `dict`

  simple double-keyed subset of dict methods.

  `__init__`(*args, **kwargs)
  `clear`

    D.clear() -> None. Remove all items from D.

  `copy`

    D.copy() -> a shallow copy of D

  static `fromkeys`(S[, v]) → New dict with keys from S and values equal to v.

    v defaults to None.

  `get`(key, default=None)
  `has_key`

    D.has_key(k) -> True if D has a key k, else False

  `items`

    D.items() -> list of D’s (key, value) pairs, as 2-tuples

  `iteritems`

    D.iteritems() -> an iterator over the (key, value) items of D

  `iterkeys`

    D.iterkeys() -> an iterator over the keys of D

  `itervalues`

    D.itervalues() -> an iterator over the values of D

  `keys`

    D.keys() -> list of D’s keys

  `pop`(key)
  `popitem`

    D.popitem() -> (k, v), remove and return some (key, value) pair as a 2-tuple; but raise KeyError if D is empty.

  `setdefault`

    D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D

  `update`

    D.update(E, **F) -> None. Update D from dict/iterable E and F. If E has a .keys() method, does: for k in E: D[k] = E[k] If E lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]

  `values`

    D.values() -> list of D’s values

## Functions

`IPython.parallel.util.``asbytes`(s)

  ensure that an object is ascii bytes

`IPython.parallel.util.``connect_engine_logger`(context, iface, engine, loglevel=10)

`IPython.parallel.util.``connect_logger`(logname, context, iface, root='ip', loglevel=10)

`IPython.parallel.util.``disambiguate_ip_address`(ip, location=None)

  turn multi-ip interfaces ‘0.0.0.0’ and ‘*’ into connectable ones, based on the location (default interpretation of location is localhost).

`IPython.parallel.util.``disambiguate_url`(url, location=None)

  turn multi-ip interfaces ‘0.0.0.0’ and ‘*’ into connectable ones, based on the location (default interpretation is localhost).

  This is for zeromq urls, such as tcp://*:10101.

`IPython.parallel.util.``generate_exec_key`(keyfile)

`IPython.parallel.util.``integer_loglevel`(loglevel)

`IPython.parallel.util.``interactive`(f)

  decorator for making functions appear as interactively defined. This results in the function being linked to the user_ns as globals() instead of the module globals().

`IPython.parallel.util.``local_logger`(logname, loglevel=10)

`IPython.parallel.util.``pack_apply_message`(f, args, kwargs, threshold=6.3999999999999997e-05)

  pack up a function, args, and kwargs to be sent over the wire as a series of buffers. Any object whose data is larger than threshold will not have their data copied (currently only numpy arrays support zero-copy)

`IPython.parallel.util.``select_random_ports`(n)

  Selects and return n random ports that are available.

`IPython.parallel.util.``serialize_object`(obj, threshold=6.3999999999999997e-05)

  Serialize an object into a list of sendable buffers.

  Parameters : | obj : object The object to be serialized threshold : float The threshold for not double-pickling the content.
  Returns : | (‘pmd’, [bufs]) : : where pmd is the pickled metadata wrapper, bufs is a list of data buffers

`IPython.parallel.util.``signal_children`(children)

  Relay interupt/term signals to children, for more solid process cleanup.

`IPython.parallel.util.``split_url`(url)

  split a zmq url (tcp://ip:port) into (‘tcp’,’ip’,’port’).

`IPython.parallel.util.``unpack_apply_message`(bufs, g=None, copy=True)

  unpack f,args,kwargs from buffers packed by pack_apply_message() Returns: original f,args,kwargs

`IPython.parallel.util.``unserialize_object`(bufs)

  reconstruct an object serialized by serialize_object from data buffers.

`IPython.parallel.util.``validate_url`(url)

  validate a url for zeromq

`IPython.parallel.util.``validate_url_container`(container)

  validate a potentially nested collection of urls.

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