/usr/lib64/python2.6/site-packages/numpy/oldnumeric
Edit: /usr/lib64/python2.6/site-packages/numpy/oldnumeric/random_array.pyo (14282B)
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mean_var_testt multinomialt multivariate_normalt negative_binomialt noncentral_Ft noncentral_chi_squaret normalt permutationt poissont randintt randomt random_integerst seedt standard_normalt uniformiÿÿÿÿNi c C s? | d j p
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t d ‚ d S( Nsš If you want to save the state of the random number generator.
Then you should use obj = numpy.random.get_state() followed by.
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d } n t i | ƒ S( s@ random(n) or random([n, m, ...]) returns array of random numbersN( t NoneR t
random_sample( t shape( ( sC /usr/lib64/python2.6/site-packages/numpy/oldnumeric/random_array.pyR s
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d } n t i | | | ƒ S( sc uniform(minimum, maximum, shape=[]) returns array of given shape of random reals
in given rangeN( R R R ( t minimumt maximumR ( ( sC /usr/lib64/python2.6/site-packages/numpy/oldnumeric/random_array.pyR ! s
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t d ‚ n | | t | ƒ } t | t i ƒ o | | i t i ƒ S| t | ƒ Sd S( sk randint(min, max, shape=[]) = random integers >=min, < max
If max not given, random integers >= 0,
d d> g d? ƒ } | GHd@ Gt i | d d ƒdA GHd S(K Ni s Failed seed test.s First random number iss" Average of 10000 random numbers isi' R7 i g ˆÃ@i
iè i s random returned wrong shapes' Average of 100 by 100 random numbers isg à?g333333ã?s uniform returned wrong shapes% uniform returned out of desired ranges randint(1, 10, shape=[50])R i2 s permutation(10)s randint(3,9)i i s random_integers(10, shape=[20])i g @g @s$ standard_normal returned wrong shapes8 normally distributed numbers with mean 2 and variance %fs5 random numbers exponentially distributed with mean %fi s
A multivariate normals( multivariate_normal returned wrong shapes- A 4x3x2 array containing multivariate normalsiœÿÿÿid s< Average of 10000 multivariate normals with mean [-100,0,100]s\ Estimated covariance of 10000 multivariate normals with covariance [[3,2,1],[2,2,1],[1,1,1]]g €‡Ã@g @g $@s beta(5.,10.) random numbersg Zd;ßOÕ?gyé&1¬Œ?g{®Gáz„?s gamma(.01,2.) random numbersg &@s5 chi squared random numbers with 11 degrees of freedomi i s1 F random numbers with 5 and 10 degrees of freedomg ô?gš™™™™™õ?g I@s# poisson random numbers with mean 50gìQ¸ …ëÁ?sG
Each element is the result of 16 binomial trials with probability 0.5:i sP
Each element is the result of 16 negative binomial trials with probability 0.5:sX
Each row is the result of 16 multinomial trials with probabilities [0.1, 0.5, 0.1 0.3]:gš™™™™™¹?i s Mean = g @( i' ( iè i
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