random numpy error?

[Søren Kyale]

I get the following response when running my tests.

When the error doen't pop up, I get an everything passed response.

Is this a numpy mac bug?

Traceback (most recent call last):

  File "sort.py", line 172, in <module>

    if __name__ == "__main__": test()

  File "sort.py", line 121, in test

    sortMe = list(numpy.random.randint(numpy.random.randint(1000), size=numpy.random.randint(108)))

  File "mtrand.pyx", line 854, in mtrand.RandomState.randint (numpy/random/mtrand/mtrand.c:5904)

ValueError: low >= high

test code:

check time:  27 2.40802764893e-05

bubble time:  25 0.000274181365967

check time:  25 2.19345092773e-05

bubblem time:  87 0.00342512130737

check time:  87 5.10215759277e-05

insertion time:  59 0.000833988189697

check time:  59 3.79085540771e-05

lame time:  33 0.00018310546875

check time:  33 2.71797180176e-05

All tests have passed

Press ENTER or type command to continue

# test:none -> none:

# here be tests:

def test():

   import numpy, time

   isPassing = True

   

   for i in range (100):

      sortMe = list(numpy.random.randint(numpy.random.randint(1000), size=numpy.random.randint(108)))

      jackHarkness = time.time()

      bubble(sortMe)

      print "bubble time: ", len(sortMe), time.time() - jackHarkness

      jackHarkness = time.time()

      passed = isSorted(sortMe) 

      print "check time: ", len(sortMe), time.time() - jackHarkness

      isPassing *= passed

      if not passed: print "bubble failed"

      

      sortMe = list(numpy.random.randint(numpy.random.randint(1000), size=numpy.random.randint(108)))

      jackHarkness = time.time()

      bubblem(sortMe)

      print "bubblem time: ", len(sortMe), time.time() - jackHarkness

      jackHarkness = time.time()

      passed = isSorted(sortMe) 

      print "check time: ", len(sortMe), time.time() - jackHarkness

      isPassing *= passed

      if not passed: print "bubblem failed"

      

      sortMe = list(numpy.random.randint(numpy.random.randint(1000), size=numpy.random.randint(108)))

      jackHarkness = time.time()

      insertion(sortMe)

      print "insertion time: ", len(sortMe), time.time() - jackHarkness

      jackHarkness = time.time()

      passed = isSorted(sortMe) 

      print "check time: ", len(sortMe), time.time() - jackHarkness

      isPassing *= passed

      if not passed: print "insertion failed"

      sortMe = list(numpy.random.randint(numpy.random.randint(1000), size=numpy.random.randint(108)))

      jackHarkness = time.time()

      lame(sortMe)

      print "lame time: ", len(sortMe), time.time() - jackHarkness

      jackHarkness = time.time()

      passed = isSorted(sortMe) 

      print "check time: ", len(sortMe), time.time() - jackHarkness

      isPassing *= passed

      if not passed: print "lame failed"

   sortMe = list(numpy.random.randint(numpy.random.randint(1000), size=numpy.random.randint(108)))

   sortMeTwo, sortMeThree = list(sortMe), list(sortMe)

   bubble(sortMe), bubblem(sortMeTwo), insertion(sortMeThree)

   passed = sortMe == sortMeTwo and sortMeThree == sortMeTwo

   isPassing *= passed

   if not passed: print "comparison failed"

   

   if isPassing:

      print "All tests have passed"

if __name__ == "__main__": test()

[Jeremy Kun]

No this is a logic error. The random function accepts a low and a high, and generates a number low <= x < high. Since you're giving random numbers as inputs (that is, low is a random number and high is a random number), every now and then you'll be calling the function with high smaller than low, upon which numpy raises an error. Indeed, if I asked you to generate a random number x such that 9 < x < 1, what would you do?

Jeremy Kun

Mathematics Graduate Student

University of Illinois at Chicago

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[Søren Kyale]

Yes. That would be difficult. 

It was having trouble with 0 < x < 0

adding one fixed the problem.

      sortMe = list(numpy.random.randint(numpy.random.randint(1000)+1, size=numpy.random.randint(108)))

Thank you.