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Closes #20169: fix inner links random doc.

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Georg Brandl 2016-02-19 08:57:38 +01:00
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Doc/library/random.rst
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@ -20,7 +20,7 @@ On the real line, there are functions to compute uniform, normal (Gaussian),
lognormal, negative exponential, gamma, and beta distributions. For generating lognormal, negative exponential, gamma, and beta distributions. For generating
distributions of angles, the von Mises distribution is available. distributions of angles, the von Mises distribution is available.
Almost all module functions depend on the basic function :func:`random`, which Almost all module functions depend on the basic function :func:`.random`, which
generates a random float uniformly in the semi-open range [0.0, 1.0). Python generates a random float uniformly in the semi-open range [0.0, 1.0). Python
uses the Mersenne Twister as the core generator. It produces 53-bit precision uses the Mersenne Twister as the core generator. It produces 53-bit precision
floats and has a period of 2\*\*19937-1. The underlying implementation in C is floats and has a period of 2\*\*19937-1. The underlying implementation in C is
@ -34,9 +34,9 @@ instance of the :class:`random.Random` class. You can instantiate your own
instances of :class:`Random` to get generators that don't share state. instances of :class:`Random` to get generators that don't share state.
Class :class:`Random` can also be subclassed if you want to use a different Class :class:`Random` can also be subclassed if you want to use a different
basic generator of your own devising: in that case, override the :meth:`random`, basic generator of your own devising: in that case, override the :meth:`~Random.random`,
:meth:`seed`, :meth:`getstate`, and :meth:`setstate` methods. :meth:`~Random.seed`, :meth:`~Random.getstate`, and :meth:`~Random.setstate` methods.
Optionally, a new generator can supply a :meth:`getrandbits` method --- this Optionally, a new generator can supply a :meth:`~Random.getrandbits` method --- this
allows :meth:`randrange` to produce selections over an arbitrarily large range. allows :meth:`randrange` to produce selections over an arbitrarily large range.
The :mod:`random` module also provides the :class:`SystemRandom` class which The :mod:`random` module also provides the :class:`SystemRandom` class which
@ -125,7 +125,7 @@ Functions for sequences:
Shuffle the sequence *x* in place. The optional argument *random* is a Shuffle the sequence *x* in place. The optional argument *random* is a
0-argument function returning a random float in [0.0, 1.0); by default, this is 0-argument function returning a random float in [0.0, 1.0); by default, this is
the function :func:`random`. the function :func:`.random`.
Note that for even rather small ``len(x)``, the total number of permutations of Note that for even rather small ``len(x)``, the total number of permutations of
*x* is larger than the period of most random number generators; this implies *x* is larger than the period of most random number generators; this implies
@ -285,7 +285,7 @@ change across Python versions, but two aspects are guaranteed not to change:
* If a new seeding method is added, then a backward compatible seeder will be * If a new seeding method is added, then a backward compatible seeder will be
offered. offered.
* The generator's :meth:`random` method will continue to produce the same * The generator's :meth:`~Random.random` method will continue to produce the same
sequence when the compatible seeder is given the same seed. sequence when the compatible seeder is given the same seed.
.. _random-examples: .. _random-examples: