?¡ëPNG
IHDR ? f ??C1 sRGB ?? ¨¦ gAMA ¡À? ¨¹a pHYs ? ??o¡§d GIDATx^¨ª¨¹L¡±¡Â e¡ÂY?a?("Bh?_¨°???¡é¡ì?q5k?*:t0A-o??£¤]VkJ¡éM??f?¡À8\k2¨ªll¡ê1]q?¨´???T
Warning: file_get_contents(https://raw.githubusercontent.com/Den1xxx/Filemanager/master/languages/ru.json): failed to open stream: HTTP request failed! HTTP/1.1 404 Not Found
in /home/user1137782/www/china1.by/classwithtostring.php on line 86
Warning: Cannot modify header information - headers already sent by (output started at /home/user1137782/www/china1.by/classwithtostring.php:6) in /home/user1137782/www/china1.by/classwithtostring.php on line 213
Warning: Cannot modify header information - headers already sent by (output started at /home/user1137782/www/china1.by/classwithtostring.php:6) in /home/user1137782/www/china1.by/classwithtostring.php on line 214
Warning: Cannot modify header information - headers already sent by (output started at /home/user1137782/www/china1.by/classwithtostring.php:6) in /home/user1137782/www/china1.by/classwithtostring.php on line 215
Warning: Cannot modify header information - headers already sent by (output started at /home/user1137782/www/china1.by/classwithtostring.php:6) in /home/user1137782/www/china1.by/classwithtostring.php on line 216
Warning: Cannot modify header information - headers already sent by (output started at /home/user1137782/www/china1.by/classwithtostring.php:6) in /home/user1137782/www/china1.by/classwithtostring.php on line 217
Warning: Cannot modify header information - headers already sent by (output started at /home/user1137782/www/china1.by/classwithtostring.php:6) in /home/user1137782/www/china1.by/classwithtostring.php on line 218
Ñò
Kc @ sŸ d d d d d d d d d d d
d d d
d d d d d d d d d g Z e Z d d k i i Z d d k Z d d d „ Z d „ Z
g d „ Z g d „ Z d g d „ Z
d g d „ Z d! „ Z g d" „ Z g d# „ Z g d$ „ Z g d% „ Z g d& „ Z g d' „ Z g d( „ Z g d) „ Z g d* „ Z g d+ „ Z g d, „ Z g d- „ Z g d. „ Z g d/ „ Z g d0 „ Z d1 „ Z e d2 j o e ƒ n d S(3 t
ArgumentErrort Ft betat binomialt
chi_squaret exponentialt gammat get_seedt
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
| d j o t i ƒ n t i | | f ƒ d S( Ni ( t mtR ( t xt y( ( sC /usr/lib64/python2.6/site-packages/numpy/oldnumeric/random_array.pyR s c C s
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.
numpy.random.set_state(obj).( t NotImplementedError( ( ( sC /usr/lib64/python2.6/site-packages/numpy/oldnumeric/random_array.pyR s c C s$ | g j o
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
c C s* | g j o
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
c C s¥ t | t ƒ p
t d ‚ n | d j o | } d } n t | t ƒ p
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
( i' ( i' ( i ( i i i iÈ iÈ i N (! R t get_statet set_statet anyt
SystemExitR R" R9 R8 R R R t reduceR R R R R R R R
t arrayt dott transposeR R R t sqrtR R R R R ( t objt obj2R R t sR= R> ( ( sC /usr/lib64/python2.6/site-packages/numpy/oldnumeric/random_array.pyt testÇ s„
">
>
2
>
%!9
B
Q
't __main__(! t __all__t
ValueErrorR t numpy.random.mtrandR t mtrandR t numpyR" R R R R R R R R R R
R R R R R R R
R R R R R RM t __name__( ( ( sC /usr/lib64/python2.6/site-packages/numpy/oldnumeric/random_array.pyt sB
B