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  1. import numpy as np
  2. from numpy import warnings
  3.  
  4. tudo = [7.0, 21.0, 100.5, 201.9]
  5. ap = {str(i):[tudo[i]*0.85,tudo[i]*1.15] for i in range(len(tudo))}
  6. iterations = 10
  7.  
  8. for j in range(iterations):
  9. print(" PERFORMING ITERATION: " + str(j+1)+' OF '+ str(iterations) )
  10. parameters = []
  11. for k in list(ap.keys()):
  12. p_0 = np.random.uniform(ap[k][0],ap[k][1])
  13. parameters.append(p_0)
  14.  
  15. if True:
  16. with warnings.catch_warnings():
  17. warnings.simplefilter('error')
  18. print('parameters: ',parameters)
  19.  
Success #stdin #stdout 0.16s 29116KB
stdin
Standard input is empty
stdout
 PERFORMING ITERATION: 1 OF 10
parameters:  [5.961899928965782, 22.859576831742988, 111.63392237437172, 176.3726430180161]
 PERFORMING ITERATION: 2 OF 10
parameters:  [6.2788581627481, 22.92004382202588, 95.19726169498915, 185.7713446186297]
 PERFORMING ITERATION: 3 OF 10
parameters:  [6.442106633239273, 21.47268104560509, 111.77938772115058, 223.19571472338313]
 PERFORMING ITERATION: 4 OF 10
parameters:  [7.795695811717892, 23.99062268379673, 110.96787529940721, 223.0456359396091]
 PERFORMING ITERATION: 5 OF 10
parameters:  [7.921515079752717, 19.172819767532648, 101.08710111566626, 193.27398738630035]
 PERFORMING ITERATION: 6 OF 10
parameters:  [6.01332449328986, 21.84264621412426, 113.28010078856205, 212.78758030223605]
 PERFORMING ITERATION: 7 OF 10
parameters:  [6.430547307011298, 23.892653380609303, 92.44263051104645, 196.04927303716156]
 PERFORMING ITERATION: 8 OF 10
parameters:  [6.784092544093967, 20.665496854923237, 95.35545810176225, 228.30622374932364]
 PERFORMING ITERATION: 9 OF 10
parameters:  [7.832168662960951, 18.685497330741367, 105.2270572686003, 226.80863809945598]
 PERFORMING ITERATION: 10 OF 10
parameters:  [6.958651350487475, 20.849047562708027, 102.79712755528872, 172.48972896643173]