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* Add unittests, newsitem, and whatsnew * Apply to Queue.py mutex.py threading.py pydoc.py and shlex.py * Docs are forthcoming
185 lines
7.1 KiB
Python
185 lines
7.1 KiB
Python
import unittest
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from test import test_support
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from bisect import bisect_right, bisect_left, insort_left, insort_right, insort, bisect
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from UserList import UserList
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class TestBisect(unittest.TestCase):
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precomputedCases = [
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(bisect_right, [], 1, 0),
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(bisect_right, [1], 0, 0),
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(bisect_right, [1], 1, 1),
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(bisect_right, [1], 2, 1),
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(bisect_right, [1, 1], 0, 0),
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(bisect_right, [1, 1], 1, 2),
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(bisect_right, [1, 1], 2, 2),
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(bisect_right, [1, 1, 1], 0, 0),
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(bisect_right, [1, 1, 1], 1, 3),
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(bisect_right, [1, 1, 1], 2, 3),
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(bisect_right, [1, 1, 1, 1], 0, 0),
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(bisect_right, [1, 1, 1, 1], 1, 4),
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(bisect_right, [1, 1, 1, 1], 2, 4),
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(bisect_right, [1, 2], 0, 0),
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(bisect_right, [1, 2], 1, 1),
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(bisect_right, [1, 2], 1.5, 1),
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(bisect_right, [1, 2], 2, 2),
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(bisect_right, [1, 2], 3, 2),
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(bisect_right, [1, 1, 2, 2], 0, 0),
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(bisect_right, [1, 1, 2, 2], 1, 2),
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(bisect_right, [1, 1, 2, 2], 1.5, 2),
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(bisect_right, [1, 1, 2, 2], 2, 4),
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(bisect_right, [1, 1, 2, 2], 3, 4),
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(bisect_right, [1, 2, 3], 0, 0),
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(bisect_right, [1, 2, 3], 1, 1),
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(bisect_right, [1, 2, 3], 1.5, 1),
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(bisect_right, [1, 2, 3], 2, 2),
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(bisect_right, [1, 2, 3], 2.5, 2),
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(bisect_right, [1, 2, 3], 3, 3),
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(bisect_right, [1, 2, 3], 4, 3),
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(bisect_right, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 0, 0),
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(bisect_right, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 1, 1),
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(bisect_right, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 1.5, 1),
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(bisect_right, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 2, 3),
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(bisect_right, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 2.5, 3),
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(bisect_right, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 3, 6),
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(bisect_right, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 3.5, 6),
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(bisect_right, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 4, 10),
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(bisect_right, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 5, 10),
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(bisect_left, [], 1, 0),
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(bisect_left, [1], 0, 0),
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(bisect_left, [1], 1, 0),
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(bisect_left, [1], 2, 1),
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(bisect_left, [1, 1], 0, 0),
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(bisect_left, [1, 1], 1, 0),
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(bisect_left, [1, 1], 2, 2),
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(bisect_left, [1, 1, 1], 0, 0),
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(bisect_left, [1, 1, 1], 1, 0),
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(bisect_left, [1, 1, 1], 2, 3),
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(bisect_left, [1, 1, 1, 1], 0, 0),
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(bisect_left, [1, 1, 1, 1], 1, 0),
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(bisect_left, [1, 1, 1, 1], 2, 4),
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(bisect_left, [1, 2], 0, 0),
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(bisect_left, [1, 2], 1, 0),
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(bisect_left, [1, 2], 1.5, 1),
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(bisect_left, [1, 2], 2, 1),
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(bisect_left, [1, 2], 3, 2),
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(bisect_left, [1, 1, 2, 2], 0, 0),
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(bisect_left, [1, 1, 2, 2], 1, 0),
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(bisect_left, [1, 1, 2, 2], 1.5, 2),
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(bisect_left, [1, 1, 2, 2], 2, 2),
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(bisect_left, [1, 1, 2, 2], 3, 4),
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(bisect_left, [1, 2, 3], 0, 0),
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(bisect_left, [1, 2, 3], 1, 0),
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(bisect_left, [1, 2, 3], 1.5, 1),
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(bisect_left, [1, 2, 3], 2, 1),
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(bisect_left, [1, 2, 3], 2.5, 2),
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(bisect_left, [1, 2, 3], 3, 2),
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(bisect_left, [1, 2, 3], 4, 3),
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(bisect_left, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 0, 0),
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(bisect_left, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 1, 0),
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(bisect_left, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 1.5, 1),
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(bisect_left, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 2, 1),
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(bisect_left, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 2.5, 3),
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(bisect_left, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 3, 3),
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(bisect_left, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 3.5, 6),
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(bisect_left, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 4, 6),
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(bisect_left, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 5, 10)
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]
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def test_precomputed(self):
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for func, data, elem, expected in self.precomputedCases:
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self.assertEqual(func(data, elem), expected)
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self.assertEqual(func(UserList(data), elem), expected)
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def test_random(self, n=25):
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from random import randrange
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for i in xrange(n):
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data = [randrange(0, n, 2) for j in xrange(i)]
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data.sort()
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elem = randrange(-1, n+1)
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ip = bisect_left(data, elem)
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if ip < len(data):
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self.failUnless(elem <= data[ip])
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if ip > 0:
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self.failUnless(data[ip-1] < elem)
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ip = bisect_right(data, elem)
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if ip < len(data):
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self.failUnless(elem < data[ip])
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if ip > 0:
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self.failUnless(data[ip-1] <= elem)
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def test_optionalSlicing(self):
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for func, data, elem, expected in self.precomputedCases:
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for lo in xrange(4):
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lo = min(len(data), lo)
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for hi in xrange(3,8):
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hi = min(len(data), hi)
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ip = func(data, elem, lo, hi)
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self.failUnless(lo <= ip <= hi)
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if func is bisect_left and ip < hi:
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self.failUnless(elem <= data[ip])
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if func is bisect_left and ip > lo:
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self.failUnless(data[ip-1] < elem)
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if func is bisect_right and ip < hi:
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self.failUnless(elem < data[ip])
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if func is bisect_right and ip > lo:
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self.failUnless(data[ip-1] <= elem)
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self.assertEqual(ip, max(lo, min(hi, expected)))
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def test_backcompatibility(self):
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self.assertEqual(bisect, bisect_right)
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#==============================================================================
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class TestInsort(unittest.TestCase):
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def test_vsBuiltinSort(self, n=500):
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from random import choice
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for insorted in (list(), UserList()):
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for i in xrange(n):
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digit = choice("0123456789")
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if digit in "02468":
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f = insort_left
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else:
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f = insort_right
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f(insorted, digit)
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self.assertEqual(sorted(insorted), insorted)
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def test_backcompatibility(self):
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self.assertEqual(insort, insort_right)
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#==============================================================================
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libreftest = """
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Example from the Library Reference: Doc/lib/libbisect.tex
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The bisect() function is generally useful for categorizing numeric data.
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This example uses bisect() to look up a letter grade for an exam total
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(say) based on a set of ordered numeric breakpoints: 85 and up is an `A',
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75..84 is a `B', etc.
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>>> grades = "FEDCBA"
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>>> breakpoints = [30, 44, 66, 75, 85]
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>>> from bisect import bisect
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>>> def grade(total):
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... return grades[bisect(breakpoints, total)]
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...
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>>> grade(66)
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'C'
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>>> map(grade, [33, 99, 77, 44, 12, 88])
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['E', 'A', 'B', 'D', 'F', 'A']
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"""
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#------------------------------------------------------------------------------
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__test__ = {'libreftest' : libreftest}
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def test_main(verbose=None):
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from test import test_bisect
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test_support.run_unittest(TestBisect, TestInsort)
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test_support.run_doctest(test_bisect, verbose)
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if __name__ == "__main__":
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test_main(verbose=True)
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