blob: 6bb2112f29748bbf3ea943fc18c26f3b6a0d3b87 [file] [log] [blame]
import unittest
from test import test_support
from bisect import bisect_right, bisect_left, insort_left, insort_right, insort, bisect
from UserList import UserList
class TestBisect(unittest.TestCase):
precomputedCases = [
(bisect_right, [], 1, 0),
(bisect_right, [1], 0, 0),
(bisect_right, [1], 1, 1),
(bisect_right, [1], 2, 1),
(bisect_right, [1, 1], 0, 0),
(bisect_right, [1, 1], 1, 2),
(bisect_right, [1, 1], 2, 2),
(bisect_right, [1, 1, 1], 0, 0),
(bisect_right, [1, 1, 1], 1, 3),
(bisect_right, [1, 1, 1], 2, 3),
(bisect_right, [1, 1, 1, 1], 0, 0),
(bisect_right, [1, 1, 1, 1], 1, 4),
(bisect_right, [1, 1, 1, 1], 2, 4),
(bisect_right, [1, 2], 0, 0),
(bisect_right, [1, 2], 1, 1),
(bisect_right, [1, 2], 1.5, 1),
(bisect_right, [1, 2], 2, 2),
(bisect_right, [1, 2], 3, 2),
(bisect_right, [1, 1, 2, 2], 0, 0),
(bisect_right, [1, 1, 2, 2], 1, 2),
(bisect_right, [1, 1, 2, 2], 1.5, 2),
(bisect_right, [1, 1, 2, 2], 2, 4),
(bisect_right, [1, 1, 2, 2], 3, 4),
(bisect_right, [1, 2, 3], 0, 0),
(bisect_right, [1, 2, 3], 1, 1),
(bisect_right, [1, 2, 3], 1.5, 1),
(bisect_right, [1, 2, 3], 2, 2),
(bisect_right, [1, 2, 3], 2.5, 2),
(bisect_right, [1, 2, 3], 3, 3),
(bisect_right, [1, 2, 3], 4, 3),
(bisect_right, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 0, 0),
(bisect_right, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 1, 1),
(bisect_right, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 1.5, 1),
(bisect_right, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 2, 3),
(bisect_right, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 2.5, 3),
(bisect_right, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 3, 6),
(bisect_right, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 3.5, 6),
(bisect_right, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 4, 10),
(bisect_right, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 5, 10),
(bisect_left, [], 1, 0),
(bisect_left, [1], 0, 0),
(bisect_left, [1], 1, 0),
(bisect_left, [1], 2, 1),
(bisect_left, [1, 1], 0, 0),
(bisect_left, [1, 1], 1, 0),
(bisect_left, [1, 1], 2, 2),
(bisect_left, [1, 1, 1], 0, 0),
(bisect_left, [1, 1, 1], 1, 0),
(bisect_left, [1, 1, 1], 2, 3),
(bisect_left, [1, 1, 1, 1], 0, 0),
(bisect_left, [1, 1, 1, 1], 1, 0),
(bisect_left, [1, 1, 1, 1], 2, 4),
(bisect_left, [1, 2], 0, 0),
(bisect_left, [1, 2], 1, 0),
(bisect_left, [1, 2], 1.5, 1),
(bisect_left, [1, 2], 2, 1),
(bisect_left, [1, 2], 3, 2),
(bisect_left, [1, 1, 2, 2], 0, 0),
(bisect_left, [1, 1, 2, 2], 1, 0),
(bisect_left, [1, 1, 2, 2], 1.5, 2),
(bisect_left, [1, 1, 2, 2], 2, 2),
(bisect_left, [1, 1, 2, 2], 3, 4),
(bisect_left, [1, 2, 3], 0, 0),
(bisect_left, [1, 2, 3], 1, 0),
(bisect_left, [1, 2, 3], 1.5, 1),
(bisect_left, [1, 2, 3], 2, 1),
(bisect_left, [1, 2, 3], 2.5, 2),
(bisect_left, [1, 2, 3], 3, 2),
(bisect_left, [1, 2, 3], 4, 3),
(bisect_left, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 0, 0),
(bisect_left, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 1, 0),
(bisect_left, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 1.5, 1),
(bisect_left, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 2, 1),
(bisect_left, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 2.5, 3),
(bisect_left, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 3, 3),
(bisect_left, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 3.5, 6),
(bisect_left, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 4, 6),
(bisect_left, [1, 2, 2, 3, 3, 3, 4, 4, 4, 4], 5, 10)
]
def test_precomputed(self):
for func, data, elem, expected in self.precomputedCases:
self.assertEqual(func(data, elem), expected)
self.assertEqual(func(UserList(data), elem), expected)
def test_random(self, n=25):
from random import randrange
for i in xrange(n):
data = [randrange(0, n, 2) for j in xrange(i)]
data.sort()
elem = randrange(-1, n+1)
ip = bisect_left(data, elem)
if ip < len(data):
self.failUnless(elem <= data[ip])
if ip > 0:
self.failUnless(data[ip-1] < elem)
ip = bisect_right(data, elem)
if ip < len(data):
self.failUnless(elem < data[ip])
if ip > 0:
self.failUnless(data[ip-1] <= elem)
def test_optionalSlicing(self):
for func, data, elem, expected in self.precomputedCases:
for lo in xrange(4):
lo = min(len(data), lo)
for hi in xrange(3,8):
hi = min(len(data), hi)
ip = func(data, elem, lo, hi)
self.failUnless(lo <= ip <= hi)
if func is bisect_left and ip < hi:
self.failUnless(elem <= data[ip])
if func is bisect_left and ip > lo:
self.failUnless(data[ip-1] < elem)
if func is bisect_right and ip < hi:
self.failUnless(elem < data[ip])
if func is bisect_right and ip > lo:
self.failUnless(data[ip-1] <= elem)
self.assertEqual(ip, max(lo, min(hi, expected)))
def test_backcompatibility(self):
self.assertEqual(bisect, bisect_right)
#==============================================================================
class TestInsort(unittest.TestCase):
def test_vsBuiltinSort(self, n=500):
from random import choice
for insorted in (list(), UserList()):
for i in xrange(n):
digit = choice("0123456789")
if digit in "02468":
f = insort_left
else:
f = insort_right
f(insorted, digit)
self.assertEqual(sorted(insorted), insorted)
def test_backcompatibility(self):
self.assertEqual(insort, insort_right)
#==============================================================================
libreftest = """
Example from the Library Reference: Doc/lib/libbisect.tex
The bisect() function is generally useful for categorizing numeric data.
This example uses bisect() to look up a letter grade for an exam total
(say) based on a set of ordered numeric breakpoints: 85 and up is an `A',
75..84 is a `B', etc.
>>> grades = "FEDCBA"
>>> breakpoints = [30, 44, 66, 75, 85]
>>> from bisect import bisect
>>> def grade(total):
... return grades[bisect(breakpoints, total)]
...
>>> grade(66)
'C'
>>> map(grade, [33, 99, 77, 44, 12, 88])
['E', 'A', 'B', 'D', 'F', 'A']
"""
#------------------------------------------------------------------------------
__test__ = {'libreftest' : libreftest}
def test_main(verbose=None):
from test import test_bisect
test_support.run_unittest(TestBisect, TestInsort)
test_support.run_doctest(test_bisect, verbose)
if __name__ == "__main__":
test_main(verbose=True)