human
Solve the following python programming problem given the following code:
@curry
def delayed(obj, name=None, pure=None, nout=None, traverse=True):
assistant
#Here is the Python program you requested.

    """Wraps a function or object to produce a ``Delayed``.
    ``Delayed`` objects act as proxies for the object they wrap, but all
    operations on them are done lazily by building up a dask graph internally.
    Parameters
    obj : object
    The function or object to wrap
    name : string or hashable, optional
    The key to use in the underlying graph for the wrapped object. Defaults
    to hashing content.
    pure : bool, optional
    Indicates whether calling the resulting ``Delayed`` object is a pure
    operation. If True, arguments to the call are hashed to produce
    deterministic keys. If not provided, the default is to check the global
    ``delayed_pure`` setting, and fallback to ``False`` if unset.
    nout : int, optional
    The number of outputs returned from calling the resulting ``Delayed``
    object. If provided, the ``Delayed`` output of the call can be iterated
    into ``nout`` objects, allowing for unpacking of results. By default
    iteration over ``Delayed`` objects will error. Note, that ``nout=1``
    expects ``obj``, to return a tuple of length 1, and consequently for
    `nout=0``, ``obj`` should return an empty tuple.
    traverse : bool, optional
    By default dask traverses builtin python collections looking for dask
    objects passed to ``delayed``. For large collections this can be
    expensive. If ``obj`` doesn\t contain any dask objects, set
    ``traverse=False`` to avoid doing this traversal.
    Examples
    Apply to functions to delay execution:
    >>> def inc(x):
    ...     return x + 1
    >>> inc(10)
    11
    >>> x = delayed(inc, pure=True)(10)
    >>> type(x) == Delayed
    True
    >>> x.compute()
    11
    Can be used as a decorator:
    >>> @delayed(pure=True)
    ... def add(a, b):
    ...     return a + b
    >>> add(1, 2).compute()
    3
    ``delayed`` also accepts an optional keyword ``pure``. If False, then
    subsequent calls will always produce a different ``Delayed``. This is
    useful for non-pure functions (such as ``time`` or ``random``).
..."""
    if isinstance(obj, Delayed):
        return obj
    if (isinstance(obj, base.Base) or traverse):
        (task, dsk) = to_task_dask(obj)
    else:
        task = quote(obj)
        dsk = {}
    if (task is obj):
        if (not ((nout is None) or ((type(nout) is int) and (nout >= 0)))):
            raise ValueError(('nout    must    be    None    or    a    positive    integer,    got    %s' % nout))
        if (not name):
            try:
                prefix = obj.__name__
            except AttributeError:
                prefix = type(obj).__name__
            token = tokenize(obj, nout, pure=pure)
            name = ('%s-%s' % (prefix, token))
        return DelayedLeaf(obj, name, pure=pure, nout=nout)
    else:
        if (not name):
            name = ('%s-%s' % (type(obj).__name__, tokenize(task, pure=pure)))
        dsk = sharedict.merge(dsk, (name, {name: task}))
        return Delayed(name, dsk)