[Python-checkins] r68724 - python/trunk/Doc/library/random.rst

[georg.brandl]

Author: georg.brandl
Date: Sun Jan 18 14:24:10 2009
New Revision: 68724

Log:
#4979: correct result range for some random functions.

Modified:
   python/trunk/Doc/library/random.rst

Modified: python/trunk/Doc/library/random.rst
==============================================================================
--- python/trunk/Doc/library/random.rst	(original)
+++ python/trunk/Doc/library/random.rst	Sun Jan 18 14:24:10 2009
@@ -188,13 +188,13 @@
 
 .. function:: uniform(a, b)
 
-   Return a random floating point number *N* such that ``a <= N < b`` for
-   ``a <= b`` and ``b <= N < a`` for ``b < a``.
+   Return a random floating point number *N* such that ``a <= N <= b`` for
+   ``a <= b`` and ``b <= N <= a`` for ``b < a``.
 
 
 .. function:: triangular(low, high, mode)
 
-   Return a random floating point number *N* such that ``low <= N < high`` and
+   Return a random floating point number *N* such that ``low <= N <= high`` and
    with the specified *mode* between those bounds.  The *low* and *high* bounds
    default to zero and one.  The *mode* argument defaults to the midpoint
    between the bounds, giving a symmetric distribution.
@@ -204,8 +204,8 @@
 
 .. function:: betavariate(alpha, beta)
 
-   Beta distribution.  Conditions on the parameters are ``alpha > 0`` and ``beta >
-   0``. Returned values range between 0 and 1.
+   Beta distribution.  Conditions on the parameters are ``alpha > 0`` and
+   ``beta > 0``. Returned values range between 0 and 1.
 
 
 .. function:: expovariate(lambd)
@@ -219,14 +219,15 @@
 
 .. function:: gammavariate(alpha, beta)
 
-   Gamma distribution.  (*Not* the gamma function!)  Conditions on the parameters
-   are ``alpha > 0`` and ``beta > 0``.
+   Gamma distribution.  (*Not* the gamma function!)  Conditions on the
+   parameters are ``alpha > 0`` and ``beta > 0``.
 
 
 .. function:: gauss(mu, sigma)
 
-   Gaussian distribution.  *mu* is the mean, and *sigma* is the standard deviation.
-   This is slightly faster than the :func:`normalvariate` function defined below.
+   Gaussian distribution.  *mu* is the mean, and *sigma* is the standard
+   deviation.  This is slightly faster than the :func:`normalvariate` function
+   defined below.
 
 
 .. function:: lognormvariate(mu, sigma)