Stowage/cpython
2
0
Fork 0
mirror of https://github.com/python/cpython.git synced 2025-11-03 23:21:29 +00:00
Code Issues Projects Releases Packages Wiki Activity

Removed deprecated functions

Browse source
This commit is contained in:
Raymond Hettinger 2003-08-05 12:23:19 +00:00
parent 02771c174c
commit f8a52d38ad
2 changed files with 2 additions and 61 deletions
Download patch file Download diff file Expand all files Collapse all files

51
Lib/random.py
View file

@ -45,8 +45,8 @@
__all__ = ["Random","seed","random","uniform","randint","choice","sample",
"randrange","shuffle","normalvariate","lognormvariate",
"cunifvariate","expovariate","vonmisesvariate","gammavariate",
"stdgamma","gauss","betavariate","paretovariate","weibullvariate",
"expovariate","vonmisesvariate","gammavariate",
"gauss","betavariate","paretovariate","weibullvariate",
"getstate","setstate","jumpahead"]
NV_MAGICCONST = 4 * _exp(-0.5)/_sqrt(2.0)
@ -308,29 +308,6 @@ def lognormvariate(self, mu, sigma):
"""
return _exp(self.normalvariate(mu, sigma))
## -------------------- circular uniform --------------------
def cunifvariate(self, mean, arc):
"""Circular uniform distribution.
mean is the mean angle, and arc is the range of the distribution,
centered around the mean angle. Both values must be expressed in
radians. Returned values range between mean - arc/2 and
mean + arc/2 and are normalized to between 0 and pi.
Deprecated in version 2.3. Use:
(mean + arc * (Random.random() - 0.5)) % Math.pi
"""
# mean: mean angle (in radians between 0 and pi)
# arc: range of distribution (in radians between 0 and pi)
import warnings
warnings.warn("The cunifvariate function is deprecated; Use (mean "
"+ arc * (Random.random() - 0.5)) % Math.pi instead",
DeprecationWarning)
return (mean + arc * (self.random() - 0.5)) % _pi
## -------------------- exponential distribution --------------------
def expovariate(self, lambd):
@ -465,27 +442,6 @@ def gammavariate(self, alpha, beta):
break
return x * beta
def stdgamma(self, alpha, ainv, bbb, ccc):
# This method was (and shall remain) undocumented.
# This method is deprecated
# for the following reasons:
# 1. Returns same as .gammavariate(alpha, 1.0)
# 2. Requires caller to provide 3 extra arguments
# that are functions of alpha anyway
# 3. Can't be used for alpha < 0.5
# ainv = sqrt(2 * alpha - 1)
# bbb = alpha - log(4)
# ccc = alpha + ainv
import warnings
warnings.warn("The stdgamma function is deprecated; "
"use gammavariate() instead",
DeprecationWarning)
return self.gammavariate(alpha, 1.0)
## -------------------- Gauss (faster alternative) --------------------
def gauss(self, mu, sigma):
@ -755,7 +711,6 @@ def _test(N=2000):
_test_generator(N, 'random()')
_test_generator(N, 'normalvariate(0.0, 1.0)')
_test_generator(N, 'lognormvariate(0.0, 1.0)')
_test_generator(N, 'cunifvariate(0.0, 1.0)')
_test_generator(N, 'vonmisesvariate(0.0, 1.0)')
_test_generator(N, 'gammavariate(0.01, 1.0)')
_test_generator(N, 'gammavariate(0.1, 1.0)')
@ -786,11 +741,9 @@ def _test(N=2000):
shuffle = _inst.shuffle
normalvariate = _inst.normalvariate
lognormvariate = _inst.lognormvariate
cunifvariate = _inst.cunifvariate
expovariate = _inst.expovariate
vonmisesvariate = _inst.vonmisesvariate
gammavariate = _inst.gammavariate
stdgamma = _inst.stdgamma
gauss = _inst.gauss
betavariate = _inst.betavariate
paretovariate = _inst.paretovariate