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The requirements for this one were (original SO questionoriginal SO question):

The solution was actually drafted by another user, this is my implementationmy implementation (influenced by random.shuffle).

The requirements for this one were (original SO question):

The solution was actually drafted by another user, this is my implementation (influenced by random.shuffle).

The requirements for this one were (original SO question):

The solution was actually drafted by another user, this is my implementation (influenced by random.shuffle).

Fix title.
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TryPyPy
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Quasi-random sequences: how to improve style and tests?

Source Link
TryPyPy
  • 842
  • 1
  • 9
  • 15

Quasi-random sequences: how improve style and tests?

The requirements for this one were (original SO question):

  • Generate a random-ish sequence of items.
  • Sequence should have each item N times.
  • Sequence shouldn't have serial runs longer than a given number (longest below).

The solution was actually drafted by another user, this is my implementation (influenced by random.shuffle).

from random import random
from itertools import groupby # For testing the result
try: xrange
except: xrange = range

def generate_quasirandom(values, n, longest=3, debug=False):
  # Sanity check
  if len(values) < 2 or longest < 1:
    raise ValueError

  # Create a list with n * [val]
  source = []
  sourcelen = len(values) * n
  for val in values:
    source += [val] * n

  # For breaking runs
  serial = 0
  latest = None

  for i in xrange(sourcelen):
    # Pick something from source[:i]
    j = int(random() * (sourcelen - i)) + i
    if source[j] == latest:
      serial += 1
      if serial >= longest:
        serial = 0
        guard = 0
        # We got a serial run, break it
        while source[j] == latest:
          j = int(random() * (sourcelen - i)) + i
          guard += 1
          # We just hit an infinit loop: there is no way to avoid a serial run
          if guard > 10:
            print("Unable to avoid serial run, disabling asserts.")
            debug = False
            break
    else:
      serial = 0
    latest = source[j]
    # Move the picked value to source[i:]
    source[i], source[j] = source[j], source[i]

  # More sanity checks
  check_quasirandom(source, values, n, longest, debug)

  return source


def check_quasirandom(shuffled, values, n, longest, debug):
  counts = []
  # We skip the last entries because breaking runs in them get too hairy
  for val, count in groupby(shuffled):
    counts.append(len(list(count)))
  highest = max(counts)
  print('Longest run: %d\nMax run lenght:%d' % (highest, longest))

  # Invariants
  assert len(shuffled) == len(values) * n
  for val in values:
    assert shuffled.count(val) == n

  if debug:
    # Only checked if we were able to avoid a sequential run >= longest
    assert highest <= longest

for x in xrange(10, 1000):
  generate_quasirandom((0, 1, 2, 3), 1000, x//10, debug=True)

I'd like to receive any input you have on improving this code, from style to comments to tests and anything else you can think of.