# This module re-creates the RNG interface from Numeric
# Replace import RNG with import numpy.oldnumeric.rng as RNG
#
# It is for backwards compatibility only.

Modules
		math numpy.random.mtrand

Classes
		object CreateGenerator Distribution ExponentialDistribution LogNormalDistribution NormalDistribution UniformDistribution Exception(BaseException) error   class CreateGenerator(object)       Methods defined here: __init__(self, seed, dist=None) ranf(self) sample(self, n) Data descriptors defined here: __dict__ dictionary for instance variables (if defined) __weakref__ list of weak references to the object (if defined)   class Distribution(object)       Methods defined here: __call__(self, x) __init__(self, meth, *args) density(self, x) Data descriptors defined here: __dict__ dictionary for instance variables (if defined) __weakref__ list of weak references to the object (if defined)   class ExponentialDistribution(Distribution)       Method resolution order: ExponentialDistribution Distribution object Methods defined here: __init__(self, lambda_) density(x) Methods inherited from Distribution: __call__(self, x) Data descriptors inherited from Distribution: __dict__ dictionary for instance variables (if defined) __weakref__ list of weak references to the object (if defined)   class LogNormalDistribution(Distribution)       Method resolution order: LogNormalDistribution Distribution object Methods defined here: __init__(self, m, s) density(x) Methods inherited from Distribution: __call__(self, x) Data descriptors inherited from Distribution: __dict__ dictionary for instance variables (if defined) __weakref__ list of weak references to the object (if defined)   class NormalDistribution(Distribution)       Method resolution order: NormalDistribution Distribution object Methods defined here: __init__(self, m, s) density(x) Methods inherited from Distribution: __call__(self, x) Data descriptors inherited from Distribution: __dict__ dictionary for instance variables (if defined) __weakref__ list of weak references to the object (if defined)   class UniformDistribution(Distribution)       Method resolution order: UniformDistribution Distribution object Methods defined here: __init__(self, a, b) density(x) Methods inherited from Distribution: __call__(self, x) Data descriptors inherited from Distribution: __dict__ dictionary for instance variables (if defined) __weakref__ list of weak references to the object (if defined)   class error(Exception)       Method resolution order: error Exception BaseException object Data descriptors defined here: __weakref__ list of weak references to the object (if defined) Methods inherited from Exception: __init__(...) x.__init__(...) initializes x; see x.__class__.__doc__ for signature Data and other attributes inherited from Exception: __new__ = <built-in method __new__ of type object at 0x8108c0> T.__new__(S, ...) -> a new object with type S, a subtype of T Methods inherited from BaseException: __delattr__(...) x.__delattr__('name') <==> del x.name __getattribute__(...) x.__getattribute__('name') <==> x.name __getitem__(...) x.__getitem__(y) <==> x[y] __getslice__(...) x.__getslice__(i, j) <==> x[i:j]   Use of negative indices is not supported. __reduce__(...) __repr__(...) x.__repr__() <==> repr(x) __setattr__(...) x.__setattr__('name', value) <==> x.name = value __setstate__(...) __str__(...) x.__str__() <==> str(x) __unicode__(...) Data descriptors inherited from BaseException: __dict__ args message

Functions
		random_sample(*n) random_sample(n) = array of n random numbers;   random_sample(n1, n2, ...)= random array of shape (n1, n2, ..) ranf() ranf() = a random number from the standard generator.

Data
		__all__ = ['CreateGenerator', 'ExponentialDistribution', 'LogNormalDistribution', 'NormalDistribution', 'UniformDistribution', 'error', 'ranf', 'default_distribution', 'random_sample', 'standard_generator'] __file__ = '/usr/lib/python2.6/dist-packages/numpy/oldnumeric/rng.pyc' __name__ = 'numpy.oldnumeric.rng' __package__ = 'numpy.oldnumeric' default_distribution = <numpy.oldnumeric.rng.UniformDistribution object at 0x719f210> standard_generator = <numpy.oldnumeric.rng.CreateGenerator object at 0x719f310>