#! /usr/bin/env python # def perm0_random2 ( n, seed ): #*****************************************************************************80 # ## PERM0_RANDOM2 selects a random permutation of (0,...,N-1). # # Licensing: # # This code is distributed under the GNU LGPL license. # # Modified: # # 06 May 2015 # # Author: # # John Burkardt # # Reference: # # K L Hoffman, D R Shier, # Algorithm 564, # A Test Problem Generator for Discrete Linear L1 Approximation Problems, # ACM Transactions on Mathematical Software, # Volume 6, Number 4, December 1980, pages 615-617. # # Parameters: # # Input, integer N, the number of entries in the vector. # # Input, integer SEED, a seed for the random number generator. # # Output, integer P[N], a permutation in standard index form. # # Output, integer SEED, an updated seed. # import numpy as np from i4_uniform_ab import i4_uniform_ab from i4vec_indicator0 import i4vec_indicator0 p = i4vec_indicator0 ( n ) for i in range ( 0, n ): iadd, seed = i4_uniform_ab ( 1, n, seed ) j = ( ( i + iadd ) % n ) k = p[i] p[i] = p[j] p[j] = k return p, seed def perm0_random2_test ( ): #*****************************************************************************80 # ## PERM0_RANDOM2_TEST tests PERM0_RANDOM2. # # Licensing: # # This code is distributed under the GNU LGPL license. # # Modified: # # 06 May 2015 # # Author: # # John Burkardt # import numpy as np import platform from perm0_print import perm0_print n = 10 print ( '' ) print ( 'PERM0_RANDOM2_TEST' ) print ( ' Python version: %s' % ( platform.python_version ( ) ) ) print ( ' PERM0_RANDOM2 randomly selects a 0-based permutation.' ) print ( '' ) seed = 123456789 for test in range ( 0, 5 ): p, seed = perm0_random2 ( n, seed ) perm0_print ( n, p, '' ) # # Terminate. # print ( '' ) print ( 'PERM0_RANDOM2_TEST' ) print ( ' Normal end of execution.' ) return if ( __name__ == '__main__' ): from timestamp import timestamp timestamp ( ) perm0_random2_test ( ) timestamp ( )