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android/platform/external/python/cpython3/refs/heads/android13-tests-release/./Lib/test/test_itertools.py
blob: 4c9c597cc4842d68d6248fea7d8b9d1dc29ecec9 [file] [edit]
import unittest
from test import support
from itertools import *
import weakref
from decimal import Decimal
from fractions import Fraction
import operator
import random
import copy
import pickle
from functools import reduce
import sys
import struct
import threading
import gc
maxsize = support.MAX_Py_ssize_t
minsize = -maxsize-1
def lzip(*args):
return list(zip(*args))
def onearg(x):
'Test function of one argument'
return 2*x
def errfunc(*args):
'Test function that raises an error'
raise ValueError
def gen3():
'Non-restartable source sequence'
for i in (0, 1, 2):
yield i
def isEven(x):
'Test predicate'
return x%2==0
def isOdd(x):
'Test predicate'
return x%2==1
def tupleize(*args):
return args
def irange(n):
for i in range(n):
yield i
class StopNow:
'Class emulating an empty iterable.'
def __iter__(self):
return self
def __next__(self):
raise StopIteration
def take(n, seq):
'Convenience function for partially consuming a long of infinite iterable'
return list(islice(seq, n))
def prod(iterable):
return reduce(operator.mul, iterable, 1)
def fact(n):
'Factorial'
return prod(range(1, n+1))
# root level methods for pickling ability
def testR(r):
return r[0]
def testR2(r):
return r[2]
def underten(x):
return x<10
picklecopiers = [lambda s, proto=proto: pickle.loads(pickle.dumps(s, proto))
for proto in range(pickle.HIGHEST_PROTOCOL + 1)]
class TestBasicOps(unittest.TestCase):
def pickletest(self, protocol, it, stop=4, take=1, compare=None):
"""Test that an iterator is the same after pickling, also when part-consumed"""
def expand(it, i=0):
# Recursively expand iterables, within sensible bounds
if i > 10:
raise RuntimeError("infinite recursion encountered")
if isinstance(it, str):
return it
try:
l = list(islice(it, stop))
except TypeError:
return it # can't expand it
return [expand(e, i+1) for e in l]
# Test the initial copy against the original
dump = pickle.dumps(it, protocol)
i2 = pickle.loads(dump)
self.assertEqual(type(it), type(i2))
a, b = expand(it), expand(i2)
self.assertEqual(a, b)
if compare:
c = expand(compare)
self.assertEqual(a, c)
# Take from the copy, and create another copy and compare them.
i3 = pickle.loads(dump)
took = 0
try:
for i in range(take):
next(i3)
took += 1
except StopIteration:
pass #in case there is less data than 'take'
dump = pickle.dumps(i3, protocol)
i4 = pickle.loads(dump)
a, b = expand(i3), expand(i4)
self.assertEqual(a, b)
if compare:
c = expand(compare[took:])
self.assertEqual(a, c);
def test_accumulate(self):
self.assertEqual(list(accumulate(range(10))), # one positional arg
[0, 1, 3, 6, 10, 15, 21, 28, 36, 45])
self.assertEqual(list(accumulate(iterable=range(10))), # kw arg
[0, 1, 3, 6, 10, 15, 21, 28, 36, 45])
for typ in int, complex, Decimal, Fraction: # multiple types
self.assertEqual(
list(accumulate(map(typ, range(10)))),
list(map(typ, [0, 1, 3, 6, 10, 15, 21, 28, 36, 45])))
self.assertEqual(list(accumulate('abc')), ['a', 'ab', 'abc']) # works with non-numeric
self.assertEqual(list(accumulate([])), []) # empty iterable
self.assertEqual(list(accumulate([7])), [7]) # iterable of length one
self.assertRaises(TypeError, accumulate, range(10), 5, 6) # too many args
self.assertRaises(TypeError, accumulate) # too few args
self.assertRaises(TypeError, accumulate, x=range(10)) # unexpected kwd arg
self.assertRaises(TypeError, list, accumulate([1, []])) # args that don't add
s = [2, 8, 9, 5, 7, 0, 3, 4, 1, 6]
self.assertEqual(list(accumulate(s, min)),
[2, 2, 2, 2, 2, 0, 0, 0, 0, 0])
self.assertEqual(list(accumulate(s, max)),
[2, 8, 9, 9, 9, 9, 9, 9, 9, 9])
self.assertEqual(list(accumulate(s, operator.mul)),
[2, 16, 144, 720, 5040, 0, 0, 0, 0, 0])
with self.assertRaises(TypeError):
list(accumulate(s, chr)) # unary-operation
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
self.pickletest(proto, accumulate(range(10))) # test pickling
self.pickletest(proto, accumulate(range(10), initial=7))
self.assertEqual(list(accumulate([10, 5, 1], initial=None)), [10, 15, 16])
self.assertEqual(list(accumulate([10, 5, 1], initial=100)), [100, 110, 115, 116])
self.assertEqual(list(accumulate([], initial=100)), [100])
with self.assertRaises(TypeError):
list(accumulate([10, 20], 100))
def test_chain(self):
def chain2(*iterables):
'Pure python version in the docs'
for it in iterables:
for element in it:
yield element
for c in (chain, chain2):
self.assertEqual(list(c('abc', 'def')), list('abcdef'))
self.assertEqual(list(c('abc')), list('abc'))
self.assertEqual(list(c('')), [])
self.assertEqual(take(4, c('abc', 'def')), list('abcd'))
self.assertRaises(TypeError, list,c(2, 3))
def test_chain_from_iterable(self):
self.assertEqual(list(chain.from_iterable(['abc', 'def'])), list('abcdef'))
self.assertEqual(list(chain.from_iterable(['abc'])), list('abc'))
self.assertEqual(list(chain.from_iterable([''])), [])
self.assertEqual(take(4, chain.from_iterable(['abc', 'def'])), list('abcd'))
self.assertRaises(TypeError, list, chain.from_iterable([2, 3]))
def test_chain_reducible(self):
for oper in [copy.deepcopy] + picklecopiers:
it = chain('abc', 'def')
self.assertEqual(list(oper(it)), list('abcdef'))
self.assertEqual(next(it), 'a')
self.assertEqual(list(oper(it)), list('bcdef'))
self.assertEqual(list(oper(chain(''))), [])
self.assertEqual(take(4, oper(chain('abc', 'def'))), list('abcd'))
self.assertRaises(TypeError, list, oper(chain(2, 3)))
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
self.pickletest(proto, chain('abc', 'def'), compare=list('abcdef'))
def test_chain_setstate(self):
self.assertRaises(TypeError, chain().__setstate__, ())
self.assertRaises(TypeError, chain().__setstate__, [])
self.assertRaises(TypeError, chain().__setstate__, 0)
self.assertRaises(TypeError, chain().__setstate__, ([],))
self.assertRaises(TypeError, chain().__setstate__, (iter([]), []))
it = chain()
it.__setstate__((iter(['abc', 'def']),))
self.assertEqual(list(it), ['a', 'b', 'c', 'd', 'e', 'f'])
it = chain()
it.__setstate__((iter(['abc', 'def']), iter(['ghi'])))
self.assertEqual(list(it), ['ghi', 'a', 'b', 'c', 'd', 'e', 'f'])
def test_combinations(self):
self.assertRaises(TypeError, combinations, 'abc') # missing r argument
self.assertRaises(TypeError, combinations, 'abc', 2, 1) # too many arguments
self.assertRaises(TypeError, combinations, None) # pool is not iterable
self.assertRaises(ValueError, combinations, 'abc', -2) # r is negative
for op in [lambda a:a] + picklecopiers:
self.assertEqual(list(op(combinations('abc', 32))), []) # r > n
self.assertEqual(list(op(combinations('ABCD', 2))),
[('A','B'), ('A','C'), ('A','D'), ('B','C'), ('B','D'), ('C','D')])
testIntermediate = combinations('ABCD', 2)
next(testIntermediate)
self.assertEqual(list(op(testIntermediate)),
[('A','C'), ('A','D'), ('B','C'), ('B','D'), ('C','D')])
self.assertEqual(list(op(combinations(range(4), 3))),
[(0,1,2), (0,1,3), (0,2,3), (1,2,3)])
testIntermediate = combinations(range(4), 3)
next(testIntermediate)
self.assertEqual(list(op(testIntermediate)),
[(0,1,3), (0,2,3), (1,2,3)])
def combinations1(iterable, r):
'Pure python version shown in the docs'
pool = tuple(iterable)
n = len(pool)
if r > n:
return
indices = list(range(r))
yield tuple(pool[i] for i in indices)
while 1:
for i in reversed(range(r)):
if indices[i] != i + n - r:
break
else:
return
indices[i] += 1
for j in range(i+1, r):
indices[j] = indices[j-1] + 1
yield tuple(pool[i] for i in indices)
def combinations2(iterable, r):
'Pure python version shown in the docs'
pool = tuple(iterable)
n = len(pool)
for indices in permutations(range(n), r):
if sorted(indices) == list(indices):
yield tuple(pool[i] for i in indices)
def combinations3(iterable, r):
'Pure python version from cwr()'
pool = tuple(iterable)
n = len(pool)
for indices in combinations_with_replacement(range(n), r):
if len(set(indices)) == r:
yield tuple(pool[i] for i in indices)
for n in range(7):
values = [5*x-12 for x in range(n)]
for r in range(n+2):
result = list(combinations(values, r))
self.assertEqual(len(result), 0 if r>n else fact(n) / fact(r) / fact(n-r)) # right number of combs
self.assertEqual(len(result), len(set(result))) # no repeats
self.assertEqual(result, sorted(result)) # lexicographic order
for c in result:
self.assertEqual(len(c), r) # r-length combinations
self.assertEqual(len(set(c)), r) # no duplicate elements
self.assertEqual(list(c), sorted(c)) # keep original ordering
self.assertTrue(all(e in values for e in c)) # elements taken from input iterable
self.assertEqual(list(c),
[e for e in values if e in c]) # comb is a subsequence of the input iterable
self.assertEqual(result, list(combinations1(values, r))) # matches first pure python version
self.assertEqual(result, list(combinations2(values, r))) # matches second pure python version
self.assertEqual(result, list(combinations3(values, r))) # matches second pure python version
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
self.pickletest(proto, combinations(values, r)) # test pickling
@support.bigaddrspacetest
def test_combinations_overflow(self):
with self.assertRaises((OverflowError, MemoryError)):
combinations("AA", 2**29)
# Test implementation detail: tuple re-use
@support.impl_detail("tuple reuse is specific to CPython")
def test_combinations_tuple_reuse(self):
self.assertEqual(len(set(map(id, combinations('abcde', 3)))), 1)
self.assertNotEqual(len(set(map(id, list(combinations('abcde', 3))))), 1)
def test_combinations_with_replacement(self):
cwr = combinations_with_replacement
self.assertRaises(TypeError, cwr, 'abc') # missing r argument
self.assertRaises(TypeError, cwr, 'abc', 2, 1) # too many arguments
self.assertRaises(TypeError, cwr, None) # pool is not iterable
self.assertRaises(ValueError, cwr, 'abc', -2) # r is negative
for op in [lambda a:a] + picklecopiers:
self.assertEqual(list(op(cwr('ABC', 2))),
[('A','A'), ('A','B'), ('A','C'), ('B','B'), ('B','C'), ('C','C')])
testIntermediate = cwr('ABC', 2)
next(testIntermediate)
self.assertEqual(list(op(testIntermediate)),
[('A','B'), ('A','C'), ('B','B'), ('B','C'), ('C','C')])
def cwr1(iterable, r):
'Pure python version shown in the docs'
# number items returned: (n+r-1)! / r! / (n-1)! when n>0
pool = tuple(iterable)
n = len(pool)
if not n and r:
return
indices = [0] * r
yield tuple(pool[i] for i in indices)
while 1:
for i in reversed(range(r)):
if indices[i] != n - 1:
break
else:
return
indices[i:] = [indices[i] + 1] * (r - i)
yield tuple(pool[i] for i in indices)
def cwr2(iterable, r):
'Pure python version shown in the docs'
pool = tuple(iterable)
n = len(pool)
for indices in product(range(n), repeat=r):
if sorted(indices) == list(indices):
yield tuple(pool[i] for i in indices)
def numcombs(n, r):
if not n:
return 0 if r else 1
return fact(n+r-1) / fact(r)/ fact(n-1)
for n in range(7):
values = [5*x-12 for x in range(n)]
for r in range(n+2):
result = list(cwr(values, r))
self.assertEqual(len(result), numcombs(n, r)) # right number of combs
self.assertEqual(len(result), len(set(result))) # no repeats
self.assertEqual(result, sorted(result)) # lexicographic order
regular_combs = list(combinations(values, r)) # compare to combs without replacement
if n == 0 or r <= 1:
self.assertEqual(result, regular_combs) # cases that should be identical
else:
self.assertTrue(set(result) >= set(regular_combs)) # rest should be supersets of regular combs
for c in result:
self.assertEqual(len(c), r) # r-length combinations
noruns = [k for k,v in groupby(c)] # combo without consecutive repeats
self.assertEqual(len(noruns), len(set(noruns))) # no repeats other than consecutive
self.assertEqual(list(c), sorted(c)) # keep original ordering
self.assertTrue(all(e in values for e in c)) # elements taken from input iterable
self.assertEqual(noruns,
[e for e in values if e in c]) # comb is a subsequence of the input iterable
self.assertEqual(result, list(cwr1(values, r))) # matches first pure python version
self.assertEqual(result, list(cwr2(values, r))) # matches second pure python version
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
self.pickletest(proto, cwr(values,r)) # test pickling
@support.bigaddrspacetest
def test_combinations_with_replacement_overflow(self):
with self.assertRaises((OverflowError, MemoryError)):
combinations_with_replacement("AA", 2**30)
# Test implementation detail: tuple re-use
@support.impl_detail("tuple reuse is specific to CPython")
def test_combinations_with_replacement_tuple_reuse(self):
cwr = combinations_with_replacement
self.assertEqual(len(set(map(id, cwr('abcde', 3)))), 1)
self.assertNotEqual(len(set(map(id, list(cwr('abcde', 3))))), 1)
def test_permutations(self):
self.assertRaises(TypeError, permutations) # too few arguments
self.assertRaises(TypeError, permutations, 'abc', 2, 1) # too many arguments
self.assertRaises(TypeError, permutations, None) # pool is not iterable
self.assertRaises(ValueError, permutations, 'abc', -2) # r is negative
self.assertEqual(list(permutations('abc', 32)), []) # r > n
self.assertRaises(TypeError, permutations, 'abc', 's') # r is not an int or None
self.assertEqual(list(permutations(range(3), 2)),
[(0,1), (0,2), (1,0), (1,2), (2,0), (2,1)])
def permutations1(iterable, r=None):
'Pure python version shown in the docs'
pool = tuple(iterable)
n = len(pool)
r = n if r is None else r
if r > n:
return
indices = list(range(n))
cycles = list(range(n-r+1, n+1))[::-1]
yield tuple(pool[i] for i in indices[:r])
while n:
for i in reversed(range(r)):
cycles[i] -= 1
if cycles[i] == 0:
indices[i:] = indices[i+1:] + indices[i:i+1]
cycles[i] = n - i
else:
j = cycles[i]
indices[i], indices[-j] = indices[-j], indices[i]
yield tuple(pool[i] for i in indices[:r])
break
else:
return
def permutations2(iterable, r=None):
'Pure python version shown in the docs'
pool = tuple(iterable)
n = len(pool)
r = n if r is None else r
for indices in product(range(n), repeat=r):
if len(set(indices)) == r:
yield tuple(pool[i] for i in indices)
for n in range(7):
values = [5*x-12 for x in range(n)]
for r in range(n+2):
result = list(permutations(values, r))
self.assertEqual(len(result), 0 if r>n else fact(n) / fact(n-r)) # right number of perms
self.assertEqual(len(result), len(set(result))) # no repeats
self.assertEqual(result, sorted(result)) # lexicographic order
for p in result:
self.assertEqual(len(p), r) # r-length permutations
self.assertEqual(len(set(p)), r) # no duplicate elements
self.assertTrue(all(e in values for e in p)) # elements taken from input iterable
self.assertEqual(result, list(permutations1(values, r))) # matches first pure python version
self.assertEqual(result, list(permutations2(values, r))) # matches second pure python version
if r == n:
self.assertEqual(result, list(permutations(values, None))) # test r as None
self.assertEqual(result, list(permutations(values))) # test default r
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
self.pickletest(proto, permutations(values, r)) # test pickling
@support.bigaddrspacetest
def test_permutations_overflow(self):
with self.assertRaises((OverflowError, MemoryError)):
permutations("A", 2**30)
@support.impl_detail("tuple reuse is specific to CPython")
def test_permutations_tuple_reuse(self):
self.assertEqual(len(set(map(id, permutations('abcde', 3)))), 1)
self.assertNotEqual(len(set(map(id, list(permutations('abcde', 3))))), 1)
def test_combinatorics(self):
# Test relationships between product(), permutations(),
# combinations() and combinations_with_replacement().
for n in range(6):
s = 'ABCDEFG'[:n]
for r in range(8):
prod = list(product(s, repeat=r))
cwr = list(combinations_with_replacement(s, r))
perm = list(permutations(s, r))
comb = list(combinations(s, r))
# Check size
self.assertEqual(len(prod), n**r)
self.assertEqual(len(cwr), (fact(n+r-1) / fact(r)/ fact(n-1)) if n else (not r))
self.assertEqual(len(perm), 0 if r>n else fact(n) / fact(n-r))
self.assertEqual(len(comb), 0 if r>n else fact(n) / fact(r) / fact(n-r))
# Check lexicographic order without repeated tuples
self.assertEqual(prod, sorted(set(prod)))
self.assertEqual(cwr, sorted(set(cwr)))
self.assertEqual(perm, sorted(set(perm)))
self.assertEqual(comb, sorted(set(comb)))
# Check interrelationships
self.assertEqual(cwr, [t for t in prod if sorted(t)==list(t)]) # cwr: prods which are sorted
self.assertEqual(perm, [t for t in prod if len(set(t))==r]) # perm: prods with no dups
self.assertEqual(comb, [t for t in perm if sorted(t)==list(t)]) # comb: perms that are sorted
self.assertEqual(comb, [t for t in cwr if len(set(t))==r]) # comb: cwrs without dups
self.assertEqual(comb, list(filter(set(cwr).__contains__, perm))) # comb: perm that is a cwr
self.assertEqual(comb, list(filter(set(perm).__contains__, cwr))) # comb: cwr that is a perm
self.assertEqual(comb, sorted(set(cwr) & set(perm))) # comb: both a cwr and a perm
def test_compress(self):
self.assertEqual(list(compress(data='ABCDEF', selectors=[1,0,1,0,1,1])), list('ACEF'))
self.assertEqual(list(compress('ABCDEF', [1,0,1,0,1,1])), list('ACEF'))
self.assertEqual(list(compress('ABCDEF', [0,0,0,0,0,0])), list(''))
self.assertEqual(list(compress('ABCDEF', [1,1,1,1,1,1])), list('ABCDEF'))
self.assertEqual(list(compress('ABCDEF', [1,0,1])), list('AC'))
self.assertEqual(list(compress('ABC', [0,1,1,1,1,1])), list('BC'))
n = 10000
data = chain.from_iterable(repeat(range(6), n))
selectors = chain.from_iterable(repeat((0, 1)))
self.assertEqual(list(compress(data, selectors)), [1,3,5] * n)
self.assertRaises(TypeError, compress, None, range(6)) # 1st arg not iterable
self.assertRaises(TypeError, compress, range(6), None) # 2nd arg not iterable
self.assertRaises(TypeError, compress, range(6)) # too few args
self.assertRaises(TypeError, compress, range(6), None) # too many args
# check copy, deepcopy, pickle
for op in [lambda a:copy.copy(a), lambda a:copy.deepcopy(a)] + picklecopiers:
for data, selectors, result1, result2 in [
('ABCDEF', [1,0,1,0,1,1], 'ACEF', 'CEF'),
('ABCDEF', [0,0,0,0,0,0], '', ''),
('ABCDEF', [1,1,1,1,1,1], 'ABCDEF', 'BCDEF'),
('ABCDEF', [1,0,1], 'AC', 'C'),
('ABC', [0,1,1,1,1,1], 'BC', 'C'),
]:
self.assertEqual(list(op(compress(data=data, selectors=selectors))), list(result1))
self.assertEqual(list(op(compress(data, selectors))), list(result1))
testIntermediate = compress(data, selectors)
if result1:
next(testIntermediate)
self.assertEqual(list(op(testIntermediate)), list(result2))
def test_count(self):
self.assertEqual(lzip('abc',count()), [('a', 0), ('b', 1), ('c', 2)])
self.assertEqual(lzip('abc',count(3)), [('a', 3), ('b', 4), ('c', 5)])
self.assertEqual(take(2, lzip('abc',count(3))), [('a', 3), ('b', 4)])
self.assertEqual(take(2, zip('abc',count(-1))), [('a', -1), ('b', 0)])
self.assertEqual(take(2, zip('abc',count(-3))), [('a', -3), ('b', -2)])
self.assertRaises(TypeError, count, 2, 3, 4)
self.assertRaises(TypeError, count, 'a')
self.assertEqual(take(10, count(maxsize-5)),
list(range(maxsize-5, maxsize+5)))
self.assertEqual(take(10, count(-maxsize-5)),
list(range(-maxsize-5, -maxsize+5)))
self.assertEqual(take(3, count(3.25)), [3.25, 4.25, 5.25])
self.assertEqual(take(3, count(3.25-4j)), [3.25-4j, 4.25-4j, 5.25-4j])
self.assertEqual(take(3, count(Decimal('1.1'))),
[Decimal('1.1'), Decimal('2.1'), Decimal('3.1')])
self.assertEqual(take(3, count(Fraction(2, 3))),
[Fraction(2, 3), Fraction(5, 3), Fraction(8, 3)])
BIGINT = 1<<1000
self.assertEqual(take(3, count(BIGINT)), [BIGINT, BIGINT+1, BIGINT+2])
c = count(3)
self.assertEqual(repr(c), 'count(3)')
next(c)
self.assertEqual(repr(c), 'count(4)')
c = count(-9)
self.assertEqual(repr(c), 'count(-9)')
next(c)
self.assertEqual(next(c), -8)
self.assertEqual(repr(count(10.25)), 'count(10.25)')
self.assertEqual(repr(count(10.0)), 'count(10.0)')
self.assertEqual(type(next(count(10.0))), float)
for i in (-sys.maxsize-5, -sys.maxsize+5 ,-10, -1, 0, 10, sys.maxsize-5, sys.maxsize+5):
# Test repr
r1 = repr(count(i))
r2 = 'count(%r)'.__mod__(i)
self.assertEqual(r1, r2)
# check copy, deepcopy, pickle
for value in -3, 3, maxsize-5, maxsize+5:
c = count(value)
self.assertEqual(next(copy.copy(c)), value)
self.assertEqual(next(copy.deepcopy(c)), value)
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
self.pickletest(proto, count(value))
#check proper internal error handling for large "step' sizes
count(1, maxsize+5); sys.exc_info()
def test_count_with_stride(self):
self.assertEqual(lzip('abc',count(2,3)), [('a', 2), ('b', 5), ('c', 8)])
self.assertEqual(lzip('abc',count(start=2,step=3)),
[('a', 2), ('b', 5), ('c', 8)])
self.assertEqual(lzip('abc',count(step=-1)),
[('a', 0), ('b', -1), ('c', -2)])
self.assertRaises(TypeError, count, 'a', 'b')
self.assertEqual(lzip('abc',count(2,0)), [('a', 2), ('b', 2), ('c', 2)])
self.assertEqual(lzip('abc',count(2,1)), [('a', 2), ('b', 3), ('c', 4)])
self.assertEqual(lzip('abc',count(2,3)), [('a', 2), ('b', 5), ('c', 8)])
self.assertEqual(take(20, count(maxsize-15, 3)), take(20, range(maxsize-15, maxsize+100, 3)))
self.assertEqual(take(20, count(-maxsize-15, 3)), take(20, range(-maxsize-15,-maxsize+100, 3)))
self.assertEqual(take(3, count(10, maxsize+5)),
list(range(10, 10+3*(maxsize+5), maxsize+5)))
self.assertEqual(take(3, count(2, 1.25)), [2, 3.25, 4.5])
self.assertEqual(take(3, count(2, 3.25-4j)), [2, 5.25-4j, 8.5-8j])
self.assertEqual(take(3, count(Decimal('1.1'), Decimal('.1'))),
[Decimal('1.1'), Decimal('1.2'), Decimal('1.3')])
self.assertEqual(take(3, count(Fraction(2,3), Fraction(1,7))),
[Fraction(2,3), Fraction(17,21), Fraction(20,21)])
BIGINT = 1<<1000
self.assertEqual(take(3, count(step=BIGINT)), [0, BIGINT, 2*BIGINT])
self.assertEqual(repr(take(3, count(10, 2.5))), repr([10, 12.5, 15.0]))
c = count(3, 5)
self.assertEqual(repr(c), 'count(3, 5)')
next(c)
self.assertEqual(repr(c), 'count(8, 5)')
c = count(-9, 0)
self.assertEqual(repr(c), 'count(-9, 0)')
next(c)
self.assertEqual(repr(c), 'count(-9, 0)')
c = count(-9, -3)
self.assertEqual(repr(c), 'count(-9, -3)')
next(c)
self.assertEqual(repr(c), 'count(-12, -3)')
self.assertEqual(repr(c), 'count(-12, -3)')
self.assertEqual(repr(count(10.5, 1.25)), 'count(10.5, 1.25)')
self.assertEqual(repr(count(10.5, 1)), 'count(10.5)') # suppress step=1 when it's an int
self.assertEqual(repr(count(10.5, 1.00)), 'count(10.5, 1.0)') # do show float values lilke 1.0
self.assertEqual(repr(count(10, 1.00)), 'count(10, 1.0)')
c = count(10, 1.0)
self.assertEqual(type(next(c)), int)
self.assertEqual(type(next(c)), float)
for i in (-sys.maxsize-5, -sys.maxsize+5 ,-10, -1, 0, 10, sys.maxsize-5, sys.maxsize+5):
for j in (-sys.maxsize-5, -sys.maxsize+5 ,-10, -1, 0, 1, 10, sys.maxsize-5, sys.maxsize+5):
# Test repr
r1 = repr(count(i, j))
if j == 1:
r2 = ('count(%r)' % i)
else:
r2 = ('count(%r, %r)' % (i, j))
self.assertEqual(r1, r2)
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
self.pickletest(proto, count(i, j))
def test_cycle(self):
self.assertEqual(take(10, cycle('abc')), list('abcabcabca'))
self.assertEqual(list(cycle('')), [])
self.assertRaises(TypeError, cycle)
self.assertRaises(TypeError, cycle, 5)
self.assertEqual(list(islice(cycle(gen3()),10)), [0,1,2,0,1,2,0,1,2,0])
# check copy, deepcopy, pickle
c = cycle('abc')
self.assertEqual(next(c), 'a')
#simple copy currently not supported, because __reduce__ returns
#an internal iterator
#self.assertEqual(take(10, copy.copy(c)), list('bcabcabcab'))
self.assertEqual(take(10, copy.deepcopy(c)), list('bcabcabcab'))
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
self.assertEqual(take(10, pickle.loads(pickle.dumps(c, proto))),
list('bcabcabcab'))
next(c)
self.assertEqual(take(10, pickle.loads(pickle.dumps(c, proto))),
list('cabcabcabc'))
next(c)
next(c)
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
self.pickletest(proto, cycle('abc'))
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
# test with partial consumed input iterable
it = iter('abcde')
c = cycle(it)
_ = [next(c) for i in range(2)] # consume 2 of 5 inputs
p = pickle.dumps(c, proto)
d = pickle.loads(p) # rebuild the cycle object
self.assertEqual(take(20, d), list('cdeabcdeabcdeabcdeab'))
# test with completely consumed input iterable
it = iter('abcde')
c = cycle(it)
_ = [next(c) for i in range(7)] # consume 7 of 5 inputs
p = pickle.dumps(c, proto)
d = pickle.loads(p) # rebuild the cycle object
self.assertEqual(take(20, d), list('cdeabcdeabcdeabcdeab'))
def test_cycle_setstate(self):
# Verify both modes for restoring state
# Mode 0 is efficient. It uses an incompletely consumed input
# iterator to build a cycle object and then passes in state with
# a list of previously consumed values. There is no data
# overlap between the two.
c = cycle('defg')
c.__setstate__((list('abc'), 0))
self.assertEqual(take(20, c), list('defgabcdefgabcdefgab'))
# Mode 1 is inefficient. It starts with a cycle object built
# from an iterator over the remaining elements in a partial
# cycle and then passes in state with all of the previously
# seen values (this overlaps values included in the iterator).
c = cycle('defg')
c.__setstate__((list('abcdefg'), 1))
self.assertEqual(take(20, c), list('defgabcdefgabcdefgab'))
# The first argument to setstate needs to be a tuple
with self.assertRaises(TypeError):
cycle('defg').__setstate__([list('abcdefg'), 0])
# The first argument in the setstate tuple must be a list
with self.assertRaises(TypeError):
c = cycle('defg')
c.__setstate__((tuple('defg'), 0))
take(20, c)
# The second argument in the setstate tuple must be an int
with self.assertRaises(TypeError):
cycle('defg').__setstate__((list('abcdefg'), 'x'))
self.assertRaises(TypeError, cycle('').__setstate__, ())
self.assertRaises(TypeError, cycle('').__setstate__, ([],))
def test_groupby(self):
# Check whether it accepts arguments correctly
self.assertEqual([], list(groupby([])))
self.assertEqual([], list(groupby([], key=id)))
self.assertRaises(TypeError, list, groupby('abc', []))
self.assertRaises(TypeError, groupby, None)
self.assertRaises(TypeError, groupby, 'abc', lambda x:x, 10)
# Check normal input
s = [(0, 10, 20), (0, 11,21), (0,12,21), (1,13,21), (1,14,22),
(2,15,22), (3,16,23), (3,17,23)]
dup = []
for k, g in groupby(s, lambda r:r[0]):
for elem in g:
self.assertEqual(k, elem[0])
dup.append(elem)
self.assertEqual(s, dup)
# Check normal pickled
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
dup = []
for k, g in pickle.loads(pickle.dumps(groupby(s, testR), proto)):
for elem in g:
self.assertEqual(k, elem[0])
dup.append(elem)
self.assertEqual(s, dup)
# Check nested case
dup = []
for k, g in groupby(s, testR):
for ik, ig in groupby(g, testR2):
for elem in ig:
self.assertEqual(k, elem[0])
self.assertEqual(ik, elem[2])
dup.append(elem)
self.assertEqual(s, dup)
# Check nested and pickled
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
dup = []
for k, g in pickle.loads(pickle.dumps(groupby(s, testR), proto)):
for ik, ig in pickle.loads(pickle.dumps(groupby(g, testR2), proto)):
for elem in ig:
self.assertEqual(k, elem[0])
self.assertEqual(ik, elem[2])
dup.append(elem)
self.assertEqual(s, dup)
# Check case where inner iterator is not used
keys = [k for k, g in groupby(s, testR)]
expectedkeys = set([r[0] for r in s])
self.assertEqual(set(keys), expectedkeys)
self.assertEqual(len(keys), len(expectedkeys))
# Check case where inner iterator is used after advancing the groupby
# iterator
s = list(zip('AABBBAAAA', range(9)))
it = groupby(s, testR)
_, g1 = next(it)
_, g2 = next(it)
_, g3 = next(it)
self.assertEqual(list(g1), [])
self.assertEqual(list(g2), [])
self.assertEqual(next(g3), ('A', 5))
list(it) # exhaust the groupby iterator
self.assertEqual(list(g3), [])
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
it = groupby(s, testR)
_, g = next(it)
next(it)
next(it)
self.assertEqual(list(pickle.loads(pickle.dumps(g, proto))), [])
# Exercise pipes and filters style
s = 'abracadabra'
# sort s | uniq
r = [k for k, g in groupby(sorted(s))]
self.assertEqual(r, ['a', 'b', 'c', 'd', 'r'])
# sort s | uniq -d
r = [k for k, g in groupby(sorted(s)) if list(islice(g,1,2))]
self.assertEqual(r, ['a', 'b', 'r'])
# sort s | uniq -c
r = [(len(list(g)), k) for k, g in groupby(sorted(s))]
self.assertEqual(r, [(5, 'a'), (2, 'b'), (1, 'c'), (1, 'd'), (2, 'r')])
# sort s | uniq -c | sort -rn | head -3
r = sorted([(len(list(g)) , k) for k, g in groupby(sorted(s))], reverse=True)[:3]
self.assertEqual(r, [(5, 'a'), (2, 'r'), (2, 'b')])
# iter.__next__ failure
class ExpectedError(Exception):
pass
def delayed_raise(n=0):
for i in range(n):
yield 'yo'
raise ExpectedError
def gulp(iterable, keyp=None, func=list):
return [func(g) for k, g in groupby(iterable, keyp)]
# iter.__next__ failure on outer object
self.assertRaises(ExpectedError, gulp, delayed_raise(0))
# iter.__next__ failure on inner object
self.assertRaises(ExpectedError, gulp, delayed_raise(1))
# __eq__ failure
class DummyCmp:
def __eq__(self, dst):
raise ExpectedError
s = [DummyCmp(), DummyCmp(), None]
# __eq__ failure on outer object
self.assertRaises(ExpectedError, gulp, s, func=id)
# __eq__ failure on inner object
self.assertRaises(ExpectedError, gulp, s)
# keyfunc failure
def keyfunc(obj):
if keyfunc.skip > 0:
keyfunc.skip -= 1
return obj
else:
raise ExpectedError
# keyfunc failure on outer object
keyfunc.skip = 0
self.assertRaises(ExpectedError, gulp, [None], keyfunc)
keyfunc.skip = 1
self.assertRaises(ExpectedError, gulp, [None, None], keyfunc)
def test_filter(self):
self.assertEqual(list(filter(isEven, range(6))), [0,2,4])
self.assertEqual(list(filter(None, [0,1,0,2,0])), [1,2])
self.assertEqual(list(filter(bool, [0,1,0,2,0])), [1,2])
self.assertEqual(take(4, filter(isEven, count())), [0,2,4,6])
self.assertRaises(TypeError, filter)
self.assertRaises(TypeError, filter, lambda x:x)
self.assertRaises(TypeError, filter, lambda x:x, range(6), 7)
self.assertRaises(TypeError, filter, isEven, 3)
self.assertRaises(TypeError, next, filter(range(6), range(6)))
# check copy, deepcopy, pickle
ans = [0,2,4]
c = filter(isEven, range(6))
self.assertEqual(list(copy.copy(c)), ans)
c = filter(isEven, range(6))
self.assertEqual(list(copy.deepcopy(c)), ans)
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
c = filter(isEven, range(6))
self.assertEqual(list(pickle.loads(pickle.dumps(c, proto))), ans)
next(c)
self.assertEqual(list(pickle.loads(pickle.dumps(c, proto))), ans[1:])
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
c = filter(isEven, range(6))
self.pickletest(proto, c)
def test_filterfalse(self):
self.assertEqual(list(filterfalse(isEven, range(6))), [1,3,5])
self.assertEqual(list(filterfalse(None, [0,1,0,2,0])), [0,0,0])
self.assertEqual(list(filterfalse(bool, [0,1,0,2,0])), [0,0,0])
self.assertEqual(take(4, filterfalse(isEven, count())), [1,3,5,7])
self.assertRaises(TypeError, filterfalse)
self.assertRaises(TypeError, filterfalse, lambda x:x)
self.assertRaises(TypeError, filterfalse, lambda x:x, range(6), 7)
self.assertRaises(TypeError, filterfalse, isEven, 3)
self.assertRaises(TypeError, next, filterfalse(range(6), range(6)))
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
self.pickletest(proto, filterfalse(isEven, range(6)))
def test_zip(self):
# XXX This is rather silly now that builtin zip() calls zip()...
ans = [(x,y) for x, y in zip('abc',count())]
self.assertEqual(ans, [('a', 0), ('b', 1), ('c', 2)])
self.assertEqual(list(zip('abc', range(6))), lzip('abc', range(6)))
self.assertEqual(list(zip('abcdef', range(3))), lzip('abcdef', range(3)))
self.assertEqual(take(3,zip('abcdef', count())), lzip('abcdef', range(3)))
self.assertEqual(list(zip('abcdef')), lzip('abcdef'))
self.assertEqual(list(zip()), lzip())
self.assertRaises(TypeError, zip, 3)
self.assertRaises(TypeError, zip, range(3), 3)
self.assertEqual([tuple(list(pair)) for pair in zip('abc', 'def')],
lzip('abc', 'def'))
self.assertEqual([pair for pair in zip('abc', 'def')],
lzip('abc', 'def'))
@support.impl_detail("tuple reuse is specific to CPython")
def test_zip_tuple_reuse(self):
ids = list(map(id, zip('abc', 'def')))
self.assertEqual(min(ids), max(ids))
ids = list(map(id, list(zip('abc', 'def'))))
self.assertEqual(len(dict.fromkeys(ids)), len(ids))
# check copy, deepcopy, pickle
ans = [(x,y) for x, y in copy.copy(zip('abc',count()))]
self.assertEqual(ans, [('a', 0), ('b', 1), ('c', 2)])
ans = [(x,y) for x, y in copy.deepcopy(zip('abc',count()))]
self.assertEqual(ans, [('a', 0), ('b', 1), ('c', 2)])
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
ans = [(x,y) for x, y in pickle.loads(pickle.dumps(zip('abc',count()), proto))]
self.assertEqual(ans, [('a', 0), ('b', 1), ('c', 2)])
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
testIntermediate = zip('abc',count())
next(testIntermediate)
ans = [(x,y) for x, y in pickle.loads(pickle.dumps(testIntermediate, proto))]
self.assertEqual(ans, [('b', 1), ('c', 2)])
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
self.pickletest(proto, zip('abc', count()))
def test_ziplongest(self):
for args in [
['abc', range(6)],
[range(6), 'abc'],
[range(1000), range(2000,2100), range(3000,3050)],
[range(1000), range(0), range(3000,3050), range(1200), range(1500)],
[range(1000), range(0), range(3000,3050), range(1200), range(1500), range(0)],
]:
target = [tuple([arg[i] if i < len(arg) else None for arg in args])
for i in range(max(map(len, args)))]
self.assertEqual(list(zip_longest(*args)), target)
self.assertEqual(list(zip_longest(*args, **{})), target)
target = [tuple((e is None and 'X' or e) for e in t) for t in target] # Replace None fills with 'X'
self.assertEqual(list(zip_longest(*args, **dict(fillvalue='X'))), target)
self.assertEqual(take(3,zip_longest('abcdef', count())), list(zip('abcdef', range(3)))) # take 3 from infinite input
self.assertEqual(list(zip_longest()), list(zip()))
self.assertEqual(list(zip_longest([])), list(zip([])))
self.assertEqual(list(zip_longest('abcdef')), list(zip('abcdef')))
self.assertEqual(list(zip_longest('abc', 'defg', **{})),
list(zip(list('abc')+[None], 'defg'))) # empty keyword dict
self.assertRaises(TypeError, zip_longest, 3)
self.assertRaises(TypeError, zip_longest, range(3), 3)
for stmt in [
"zip_longest('abc', fv=1)",
"zip_longest('abc', fillvalue=1, bogus_keyword=None)",
]:
try:
eval(stmt, globals(), locals())
except TypeError:
pass
else:
self.fail('Did not raise Type in: ' + stmt)
self.assertEqual([tuple(list(pair)) for pair in zip_longest('abc', 'def')],
list(zip('abc', 'def')))
self.assertEqual([pair for pair in zip_longest('abc', 'def')],
list(zip('abc', 'def')))
@support.impl_detail("tuple reuse is specific to CPython")
def test_zip_longest_tuple_reuse(self):
ids = list(map(id, zip_longest('abc', 'def')))
self.assertEqual(min(ids), max(ids))
ids = list(map(id, list(zip_longest('abc', 'def'))))
self.assertEqual(len(dict.fromkeys(ids)), len(ids))
def test_zip_longest_pickling(self):
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
self.pickletest(proto, zip_longest("abc", "def"))
self.pickletest(proto, zip_longest("abc", "defgh"))
self.pickletest(proto, zip_longest("abc", "defgh", fillvalue=1))
self.pickletest(proto, zip_longest("", "defgh"))
def test_zip_longest_bad_iterable(self):
exception = TypeError()
class BadIterable:
def __iter__(self):
raise exception
with self.assertRaises(TypeError) as cm:
zip_longest(BadIterable())
self.assertIs(cm.exception, exception)
def test_bug_7244(self):
class Repeater:
# this class is similar to itertools.repeat
def __init__(self, o, t, e):
self.o = o
self.t = int(t)
self.e = e
def __iter__(self): # its iterator is itself
return self
def __next__(self):
if self.t > 0:
self.t -= 1
return self.o
else:
raise self.e
# Formerly this code in would fail in debug mode
# with Undetected Error and Stop Iteration
r1 = Repeater(1, 3, StopIteration)
r2 = Repeater(2, 4, StopIteration)
def run(r1, r2):
result = []
for i, j in zip_longest(r1, r2, fillvalue=0):
with support.captured_output('stdout'):
print((i, j))
result.append((i, j))
return result
self.assertEqual(run(r1, r2), [(1,2), (1,2), (1,2), (0,2)])
# Formerly, the RuntimeError would be lost
# and StopIteration would stop as expected
r1 = Repeater(1, 3, RuntimeError)
r2 = Repeater(2, 4, StopIteration)
it = zip_longest(r1, r2, fillvalue=0)
self.assertEqual(next(it), (1, 2))
self.assertEqual(next(it), (1, 2))
self.assertEqual(next(it), (1, 2))
self.assertRaises(RuntimeError, next, it)
def test_pairwise(self):
self.assertEqual(list(pairwise('')), [])
self.assertEqual(list(pairwise('a')), [])
self.assertEqual(list(pairwise('ab')),
[('a', 'b')]),
self.assertEqual(list(pairwise('abcde')),
[('a', 'b'), ('b', 'c'), ('c', 'd'), ('d', 'e')])
self.assertEqual(list(pairwise(range(10_000))),
list(zip(range(10_000), range(1, 10_000))))
with self.assertRaises(TypeError):
pairwise() # too few arguments
with self.assertRaises(TypeError):
pairwise('abc', 10) # too many arguments
with self.assertRaises(TypeError):
pairwise(iterable='abc') # keyword arguments
with self.assertRaises(TypeError):
pairwise(None) # non-iterable argument
def test_product(self):
for args, result in [
([], [()]), # zero iterables
(['ab'], [('a',), ('b',)]), # one iterable
([range(2), range(3)], [(0,0), (0,1), (0,2), (1,0), (1,1), (1,2)]), # two iterables
([range(0), range(2), range(3)], []), # first iterable with zero length
([range(2), range(0), range(3)], []), # middle iterable with zero length
([range(2), range(3), range(0)], []), # last iterable with zero length
]:
self.assertEqual(list(product(*args)), result)
for r in range(4):
self.assertEqual(list(product(*(args*r))),
list(product(*args, **dict(repeat=r))))
self.assertEqual(len(list(product(*[range(7)]*6))), 7**6)
self.assertRaises(TypeError, product, range(6), None)
def product1(*args, **kwds):
pools = list(map(tuple, args)) * kwds.get('repeat', 1)
n = len(pools)
if n == 0:
yield ()
return
if any(len(pool) == 0 for pool in pools):
return
indices = [0] * n
yield tuple(pool[i] for pool, i in zip(pools, indices))
while 1:
for i in reversed(range(n)): # right to left
if indices[i] == len(pools[i]) - 1:
continue
indices[i] += 1
for j in range(i+1, n):
indices[j] = 0
yield tuple(pool[i] for pool, i in zip(pools, indices))
break
else:
return
def product2(*args, **kwds):
'Pure python version used in docs'
pools = list(map(tuple, args)) * kwds.get('repeat', 1)
result = [[]]
for pool in pools:
result = [x+[y] for x in result for y in pool]
for prod in result:
yield tuple(prod)
argtypes = ['', 'abc', '', range(0), range(4), dict(a=1, b=2, c=3),
set('abcdefg'), range(11), tuple(range(13))]
for i in range(100):
args = [random.choice(argtypes) for j in range(random.randrange(5))]
expected_len = prod(map(len, args))
self.assertEqual(len(list(product(*args))), expected_len)
self.assertEqual(list(product(*args)), list(product1(*args)))
self.assertEqual(list(product(*args)), list(product2(*args)))
args = map(iter, args)
self.assertEqual(len(list(product(*args))), expected_len)
@support.bigaddrspacetest
def test_product_overflow(self):
with self.assertRaises((OverflowError, MemoryError)):
product(*(['ab']*2**5), repeat=2**25)
@support.impl_detail("tuple reuse is specific to CPython")
def test_product_tuple_reuse(self):
self.assertEqual(len(set(map(id, product('abc', 'def')))), 1)
self.assertNotEqual(len(set(map(id, list(product('abc', 'def'))))), 1)
def test_product_pickling(self):
# check copy, deepcopy, pickle
for args, result in [
([], [()]), # zero iterables
(['ab'], [('a',), ('b',)]), # one iterable
([range(2), range(3)], [(0,0), (0,1), (0,2), (1,0), (1,1), (1,2)]), # two iterables
([range(0), range(2), range(3)], []), # first iterable with zero length
([range(2), range(0), range(3)], []), # middle iterable with zero length
([range(2), range(3), range(0)], []), # last iterable with zero length
]:
self.assertEqual(list(copy.copy(product(*args))), result)
self.assertEqual(list(copy.deepcopy(product(*args))), result)
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
self.pickletest(proto, product(*args))
def test_product_issue_25021(self):
# test that indices are properly clamped to the length of the tuples
p = product((1, 2),(3,))
p.__setstate__((0, 0x1000)) # will access tuple element 1 if not clamped
self.assertEqual(next(p), (2, 3))
# test that empty tuple in the list will result in an immediate StopIteration
p = product((1, 2), (), (3,))
p.__setstate__((0, 0, 0x1000)) # will access tuple element 1 if not clamped
self.assertRaises(StopIteration, next, p)
def test_repeat(self):
self.assertEqual(list(repeat(object='a', times=3)), ['a', 'a', 'a'])
self.assertEqual(lzip(range(3),repeat('a')),
[(0, 'a'), (1, 'a'), (2, 'a')])
self.assertEqual(list(repeat('a', 3)), ['a', 'a', 'a'])
self.assertEqual(take(3, repeat('a')), ['a', 'a', 'a'])
self.assertEqual(list(repeat('a', 0)), [])
self.assertEqual(list(repeat('a', -3)), [])
self.assertRaises(TypeError, repeat)
self.assertRaises(TypeError, repeat, None, 3, 4)
self.assertRaises(TypeError, repeat, None, 'a')
r = repeat(1+0j)
self.assertEqual(repr(r), 'repeat((1+0j))')
r = repeat(1+0j, 5)
self.assertEqual(repr(r), 'repeat((1+0j), 5)')
list(r)
self.assertEqual(repr(r), 'repeat((1+0j), 0)')
# check copy, deepcopy, pickle
c = repeat(object='a', times=10)
self.assertEqual(next(c), 'a')
self.assertEqual(take(2, copy.copy(c)), list('a' * 2))
self.assertEqual(take(2, copy.deepcopy(c)), list('a' * 2))
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
self.pickletest(proto, repeat(object='a', times=10))
def test_repeat_with_negative_times(self):
self.assertEqual(repr(repeat('a', -1)), "repeat('a', 0)")
self.assertEqual(repr(repeat('a', -2)), "repeat('a', 0)")
self.assertEqual(repr(repeat('a', times=-1)), "repeat('a', 0)")
self.assertEqual(repr(repeat('a', times=-2)), "repeat('a', 0)")
def test_map(self):
self.assertEqual(list(map(operator.pow, range(3), range(1,7))),
[0**1, 1**2, 2**3])
self.assertEqual(list(map(tupleize, 'abc', range(5))),
[('a',0),('b',1),('c',2)])
self.assertEqual(list(map(tupleize, 'abc', count())),
[('a',0),('b',1),('c',2)])
self.assertEqual(take(2,map(tupleize, 'abc', count())),
[('a',0),('b',1)])
self.assertEqual(list(map(operator.pow, [])), [])
self.assertRaises(TypeError, map)
self.assertRaises(TypeError, list, map(None, range(3), range(3)))
self.assertRaises(TypeError, map, operator.neg)
self.assertRaises(TypeError, next, map(10, range(5)))
self.assertRaises(ValueError, next, map(errfunc, [4], [5]))
self.assertRaises(TypeError, next, map(onearg, [4], [5]))
# check copy, deepcopy, pickle
ans = [('a',0),('b',1),('c',2)]
c = map(tupleize, 'abc', count())
self.assertEqual(list(copy.copy(c)), ans)
c = map(tupleize, 'abc', count())
self.assertEqual(list(copy.deepcopy(c)), ans)
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
c = map(tupleize, 'abc', count())
self.pickletest(proto, c)
def test_starmap(self):
self.assertEqual(list(starmap(operator.pow, zip(range(3), range(1,7)))),
[0**1, 1**2, 2**3])
self.assertEqual(take(3, starmap(operator.pow, zip(count(), count(1)))),
[0**1, 1**2, 2**3])
self.assertEqual(list(starmap(operator.pow, [])), [])
self.assertEqual(list(starmap(operator.pow, [iter([4,5])])), [4**5])
self.assertRaises(TypeError, list, starmap(operator.pow, [None]))
self.assertRaises(TypeError, starmap)
self.assertRaises(TypeError, starmap, operator.pow, [(4,5)], 'extra')
self.assertRaises(TypeError, next, starmap(10, [(4,5)]))
self.assertRaises(ValueError, next, starmap(errfunc, [(4,5)]))
self.assertRaises(TypeError, next, starmap(onearg, [(4,5)]))
# check copy, deepcopy, pickle
ans = [0**1, 1**2, 2**3]
c = starmap(operator.pow, zip(range(3), range(1,7)))
self.assertEqual(list(copy.copy(c)), ans)
c = starmap(operator.pow, zip(range(3), range(1,7)))
self.assertEqual(list(copy.deepcopy(c)), ans)
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
c = starmap(operator.pow, zip(range(3), range(1,7)))
self.pickletest(proto, c)
def test_islice(self):
for args in [ # islice(args) should agree with range(args)
(10, 20, 3),
(10, 3, 20),
(10, 20),
(10, 10),
(10, 3),
(20,)
]:
self.assertEqual(list(islice(range(100), *args)),
list(range(*args)))
for args, tgtargs in [ # Stop when seqn is exhausted
((10, 110, 3), ((10, 100, 3))),
((10, 110), ((10, 100))),
((110,), (100,))
]:
self.assertEqual(list(islice(range(100), *args)),
list(range(*tgtargs)))
# Test stop=None
self.assertEqual(list(islice(range(10), None)), list(range(10)))
self.assertEqual(list(islice(range(10), None, None)), list(range(10)))
self.assertEqual(list(islice(range(10), None, None, None)), list(range(10)))
self.assertEqual(list(islice(range(10), 2, None)), list(range(2, 10)))
self.assertEqual(list(islice(range(10), 1, None, 2)), list(range(1, 10, 2)))
# Test number of items consumed SF #1171417
it = iter(range(10))
self.assertEqual(list(islice(it, 3)), list(range(3)))
self.assertEqual(list(it), list(range(3, 10)))
it = iter(range(10))
self.assertEqual(list(islice(it, 3, 3)), [])
self.assertEqual(list(it), list(range(3, 10)))
# Test invalid arguments
ra = range(10)
self.assertRaises(TypeError, islice, ra)
self.assertRaises(TypeError, islice, ra, 1, 2, 3, 4)
self.assertRaises(ValueError, islice, ra, -5, 10, 1)
self.assertRaises(ValueError, islice, ra, 1, -5, -1)
self.assertRaises(ValueError, islice, ra, 1, 10, -1)
self.assertRaises(ValueError, islice, ra, 1, 10, 0)
self.assertRaises(ValueError, islice, ra, 'a')
self.assertRaises(ValueError, islice, ra, 'a', 1)
self.assertRaises(ValueError, islice, ra, 1, 'a')
self.assertRaises(ValueError, islice, ra, 'a', 1, 1)
self.assertRaises(ValueError, islice, ra, 1, 'a', 1)
self.assertEqual(len(list(islice(count(), 1, 10, maxsize))), 1)
# Issue #10323: Less islice in a predictable state
c = count()
self.assertEqual(list(islice(c, 1, 3, 50)), [1])
self.assertEqual(next(c), 3)
# check copy, deepcopy, pickle
for args in [ # islice(args) should agree with range(args)
(10, 20, 3),
(10, 3, 20),
(10, 20),
(10, 3),
(20,)
]:
self.assertEqual(list(copy.copy(islice(range(100), *args))),
list(range(*args)))
self.assertEqual(list(copy.deepcopy(islice(range(100), *args))),
list(range(*args)))
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
self.pickletest(proto, islice(range(100), *args))
# Issue #21321: check source iterator is not referenced
# from islice() after the latter has been exhausted
it = (x for x in (1, 2))
wr = weakref.ref(it)
it = islice(it, 1)
self.assertIsNotNone(wr())
list(it) # exhaust the iterator
support.gc_collect()
self.assertIsNone(wr())
# Issue #30537: islice can accept integer-like objects as
# arguments
class IntLike(object):
def __init__(self, val):
self.val = val
def __index__(self):
return self.val
self.assertEqual(list(islice(range(100), IntLike(10))), list(range(10)))
self.assertEqual(list(islice(range(100), IntLike(10), IntLike(50))),
list(range(10, 50)))
self.assertEqual(list(islice(range(100), IntLike(10), IntLike(50), IntLike(5))),
list(range(10,50,5)))
def test_takewhile(self):
data = [1, 3, 5, 20, 2, 4, 6, 8]
self.assertEqual(list(takewhile(underten, data)), [1, 3, 5])
self.assertEqual(list(takewhile(underten, [])), [])
self.assertRaises(TypeError, takewhile)
self.assertRaises(TypeError, takewhile, operator.pow)
self.assertRaises(TypeError, takewhile, operator.pow, [(4,5)], 'extra')
self.assertRaises(TypeError, next, takewhile(10, [(4,5)]))
self.assertRaises(ValueError, next, takewhile(errfunc, [(4,5)]))
t = takewhile(bool, [1, 1, 1, 0, 0, 0])
self.assertEqual(list(t), [1, 1, 1])
self.assertRaises(StopIteration, next, t)
# check copy, deepcopy, pickle
self.assertEqual(list(copy.copy(takewhile(underten, data))), [1, 3, 5])
self.assertEqual(list(copy.deepcopy(takewhile(underten, data))),
[1, 3, 5])
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
self.pickletest(proto, takewhile(underten, data))
def test_dropwhile(self):
data = [1, 3, 5, 20, 2, 4, 6, 8]
self.assertEqual(list(dropwhile(underten, data)), [20, 2, 4, 6, 8])
self.assertEqual(list(dropwhile(underten, [])), [])
self.assertRaises(TypeError, dropwhile)
self.assertRaises(TypeError, dropwhile, operator.pow)
self.assertRaises(TypeError, dropwhile, operator.pow, [(4,5)], 'extra')
self.assertRaises(TypeError, next, dropwhile(10, [(4,5)]))
self.assertRaises(ValueError, next, dropwhile(errfunc, [(4,5)]))
# check copy, deepcopy, pickle
self.assertEqual(list(copy.copy(dropwhile(underten, data))), [20, 2, 4, 6, 8])
self.assertEqual(list(copy.deepcopy(dropwhile(underten, data))),
[20, 2, 4, 6, 8])
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
self.pickletest(proto, dropwhile(underten, data))
def test_tee(self):
n = 200
a, b = tee([]) # test empty iterator
self.assertEqual(list(a), [])
self.assertEqual(list(b), [])
a, b = tee(irange(n)) # test 100% interleaved
self.assertEqual(lzip(a,b), lzip(range(n), range(n)))
a, b = tee(irange(n)) # test 0% interleaved
self.assertEqual(list(a), list(range(n)))
self.assertEqual(list(b), list(range(n)))
a, b = tee(irange(n)) # test dealloc of leading iterator
for i in range(100):
self.assertEqual(next(a), i)
del a
self.assertEqual(list(b), list(range(n)))
a, b = tee(irange(n)) # test dealloc of trailing iterator
for i in range(100):
self.assertEqual(next(a), i)
del b
self.assertEqual(list(a), list(range(100, n)))
for j in range(5): # test randomly interleaved
order = [0]*n + [1]*n
random.shuffle(order)
lists = ([], [])
its = tee(irange(n))
for i in order:
value = next(its[i])
lists[i].append(value)
self.assertEqual(lists[0], list(range(n)))
self.assertEqual(lists[1], list(range(n)))
# test argument format checking
self.assertRaises(TypeError, tee)
self.assertRaises(TypeError, tee, 3)
self.assertRaises(TypeError, tee, [1,2], 'x')
self.assertRaises(TypeError, tee, [1,2], 3, 'x')
# tee object should be instantiable
a, b = tee('abc')
c = type(a)('def')
self.assertEqual(list(c), list('def'))
# test long-lagged and multi-way split
a, b, c = tee(range(2000), 3)
for i in range(100):
self.assertEqual(next(a), i)
self.assertEqual(list(b), list(range(2000)))
self.assertEqual([next(c), next(c)], list(range(2)))
self.assertEqual(list(a), list(range(100,2000)))
self.assertEqual(list(c), list(range(2,2000)))
# test values of n
self.assertRaises(TypeError, tee, 'abc', 'invalid')
self.assertRaises(ValueError, tee, [], -1)
for n in range(5):
result = tee('abc', n)
self.assertEqual(type(result), tuple)
self.assertEqual(len(result), n)
self.assertEqual([list(x) for x in result], [list('abc')]*n)
# tee pass-through to copyable iterator
a, b = tee('abc')
c, d = tee(a)
self.assertTrue(a is c)
# test tee_new
t1, t2 = tee('abc')
tnew = type(t1)
self.assertRaises(TypeError, tnew)
self.assertRaises(TypeError, tnew, 10)
t3 = tnew(t1)
self.assertTrue(list(t1) == list(t2) == list(t3) == list('abc'))
# test that tee objects are weak referencable
a, b = tee(range(10))
p = weakref.proxy(a)
self.assertEqual(getattr(p, '__class__'), type(b))
del a
support.gc_collect() # For PyPy or other GCs.
self.assertRaises(ReferenceError, getattr, p, '__class__')
ans = list('abc')
long_ans = list(range(10000))
# check copy
a, b = tee('abc')
self.assertEqual(list(copy.copy(a)), ans)
self.assertEqual(list(copy.copy(b)), ans)
a, b = tee(list(range(10000)))
self.assertEqual(list(copy.copy(a)), long_ans)
self.assertEqual(list(copy.copy(b)), long_ans)
# check partially consumed copy
a, b = tee('abc')
take(2, a)
take(1, b)
self.assertEqual(list(copy.copy(a)), ans[2:])
self.assertEqual(list(copy.copy(b)), ans[1:])
self.assertEqual(list(a), ans[2:])
self.assertEqual(list(b), ans[1:])
a, b = tee(range(10000))
take(100, a)
take(60, b)
self.assertEqual(list(copy.copy(a)), long_ans[100:])
self.assertEqual(list(copy.copy(b)), long_ans[60:])
self.assertEqual(list(a), long_ans[100:])
self.assertEqual(list(b), long_ans[60:])
# check deepcopy
a, b = tee('abc')
self.assertEqual(list(copy.deepcopy(a)), ans)
self.assertEqual(list(copy.deepcopy(b)), ans)
self.assertEqual(list(a), ans)
self.assertEqual(list(b), ans)
a, b = tee(range(10000))
self.assertEqual(list(copy.deepcopy(a)), long_ans)
self.assertEqual(list(copy.deepcopy(b)), long_ans)
self.assertEqual(list(a), long_ans)
self.assertEqual(list(b), long_ans)
# check partially consumed deepcopy
a, b = tee('abc')
take(2, a)
take(1, b)
self.assertEqual(list(copy.deepcopy(a)), ans[2:])
self.assertEqual(list(copy.deepcopy(b)), ans[1:])
self.assertEqual(list(a), ans[2:])
self.assertEqual(list(b), ans[1:])
a, b = tee(range(10000))
take(100, a)
take(60, b)
self.assertEqual(list(copy.deepcopy(a)), long_ans[100:])
self.assertEqual(list(copy.deepcopy(b)), long_ans[60:])
self.assertEqual(list(a), long_ans[100:])
self.assertEqual(list(b), long_ans[60:])
# check pickle
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
self.pickletest(proto, iter(tee('abc')))
a, b = tee('abc')
self.pickletest(proto, a, compare=ans)
self.pickletest(proto, b, compare=ans)
# Issue 13454: Crash when deleting backward iterator from tee()
def test_tee_del_backward(self):
forward, backward = tee(repeat(None, 20000000))
try:
any(forward) # exhaust the iterator
del backward
except:
del forward, backward
raise
def test_tee_reenter(self):
class I:
first = True
def __iter__(self):
return self
def __next__(self):
first = self.first
self.first = False
if first:
return next(b)
a, b = tee(I())
with self.assertRaisesRegex(RuntimeError, "tee"):
next(a)
def test_tee_concurrent(self):
start = threading.Event()
finish = threading.Event()
class I:
def __iter__(self):
return self
def __next__(self):
start.set()
finish.wait()
a, b = tee(I())
thread = threading.Thread(target=next, args=[a])
thread.start()
try:
start.wait()
with self.assertRaisesRegex(RuntimeError, "tee"):
next(b)
finally:
finish.set()
thread.join()
def test_StopIteration(self):
self.assertRaises(StopIteration, next, zip())
for f in (chain, cycle, zip, groupby):
self.assertRaises(StopIteration, next, f([]))
self.assertRaises(StopIteration, next, f(StopNow()))
self.assertRaises(StopIteration, next, islice([], None))
self.assertRaises(StopIteration, next, islice(StopNow(), None))
p, q = tee([])
self.assertRaises(StopIteration, next, p)
self.assertRaises(StopIteration, next, q)
p, q = tee(StopNow())
self.assertRaises(StopIteration, next, p)
self.assertRaises(StopIteration, next, q)
self.assertRaises(StopIteration, next, repeat(None, 0))
for f in (filter, filterfalse, map, takewhile, dropwhile, starmap):
self.assertRaises(StopIteration, next, f(lambda x:x, []))
self.assertRaises(StopIteration, next, f(lambda x:x, StopNow()))
@support.cpython_only
def test_combinations_result_gc(self):
# bpo-42536: combinations's tuple-reuse speed trick breaks the GC's
# assumptions about what can be untracked. Make sure we re-track result
# tuples whenever we reuse them.
it = combinations([None, []], 1)
next(it)
gc.collect()
# That GC collection probably untracked the recycled internal result
# tuple, which has the value (None,). Make sure it's re-tracked when
# it's mutated and returned from __next__:
self.assertTrue(gc.is_tracked(next(it)))
@support.cpython_only
def test_combinations_with_replacement_result_gc(self):
# Ditto for combinations_with_replacement.
it = combinations_with_replacement([None, []], 1)
next(it)
gc.collect()
self.assertTrue(gc.is_tracked(next(it)))
@support.cpython_only
def test_permutations_result_gc(self):
# Ditto for permutations.
it = permutations([None, []], 1)
next(it)
gc.collect()
self.assertTrue(gc.is_tracked(next(it)))
@support.cpython_only
def test_product_result_gc(self):
# Ditto for product.
it = product([None, []])
next(it)
gc.collect()
self.assertTrue(gc.is_tracked(next(it)))
@support.cpython_only
def test_zip_longest_result_gc(self):
# Ditto for zip_longest.
it = zip_longest([[]])
gc.collect()
self.assertTrue(gc.is_tracked(next(it)))
class TestExamples(unittest.TestCase):
def test_accumulate(self):
self.assertEqual(list(accumulate([1,2,3,4,5])), [1, 3, 6, 10, 15])
def test_accumulate_reducible(self):
# check copy, deepcopy, pickle
data = [1, 2, 3, 4, 5]
accumulated = [1, 3, 6, 10, 15]
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
it = accumulate(data)
self.assertEqual(list(pickle.loads(pickle.dumps(it, proto))), accumulated[:])
self.assertEqual(next(it), 1)
self.assertEqual(list(pickle.loads(pickle.dumps(it, proto))), accumulated[1:])
it = accumulate(data)
self.assertEqual(next(it), 1)
self.assertEqual(list(copy.deepcopy(it)), accumulated[1:])
self.assertEqual(list(copy.copy(it)), accumulated[1:])
def test_accumulate_reducible_none(self):
# Issue #25718: total is None
it = accumulate([None, None, None], operator.is_)
self.assertEqual(next(it), None)
for proto in range(pickle.HIGHEST_PROTOCOL + 1):
it_copy = pickle.loads(pickle.dumps(it, proto))
self.assertEqual(list(it_copy), [True, False])
self.assertEqual(list(copy.deepcopy(it)), [True, False])
self.assertEqual(list(copy.copy(it)), [True, False])
def test_chain(self):
self.assertEqual(''.join(chain('ABC', 'DEF')), 'ABCDEF')
def test_chain_from_iterable(self):
self.assertEqual(''.join(chain.from_iterable(['ABC', 'DEF'])), 'ABCDEF')
def test_combinations(self):
self.assertEqual(list(combinations('ABCD', 2)),
[('A','B'), ('A','C'), ('A','D'), ('B','C'), ('B','D'), ('C','D')])
self.assertEqual(list(combinations(range(4), 3)),
[(0,1,2), (0,1,3), (0,2,3), (1,2,3)])
def test_combinations_with_replacement(self):
self.assertEqual(list(combinations_with_replacement('ABC', 2)),
[('A','A'), ('A','B'), ('A','C'), ('B','B'), ('B','C'), ('C','C')])
def test_compress(self):
self.assertEqual(list(compress('ABCDEF', [1,0,1,0,1,1])), list('ACEF'))
def test_count(self):
self.assertEqual(list(islice(count(10), 5)), [10, 11, 12, 13, 14])
def test_cycle(self):
self.assertEqual(list(islice(cycle('ABCD'), 12)), list('ABCDABCDABCD'))
def test_dropwhile(self):
self.assertEqual(list(dropwhile(lambda x: x<5, [1,4,6,4,1])), [6,4,1])
def test_groupby(self):
self.assertEqual([k for k, g in groupby('AAAABBBCCDAABBB')],
list('ABCDAB'))
self.assertEqual([(list(g)) for k, g in groupby('AAAABBBCCD')],
[list('AAAA'), list('BBB'), list('CC'), list('D')])
def test_filter(self):
self.assertEqual(list(filter(lambda x: x%2, range(10))), [1,3,5,7,9])
def test_filterfalse(self):
self.assertEqual(list(filterfalse(lambda x: x%2, range(10))), [0,2,4,6,8])
def test_map(self):
self.assertEqual(list(map(pow, (2,3,10), (5,2,3))), [32, 9, 1000])
def test_islice(self):
self.assertEqual(list(islice('ABCDEFG', 2)), list('AB'))
self.assertEqual(list(islice('ABCDEFG', 2, 4)), list('CD'))
self.assertEqual(list(islice('ABCDEFG', 2, None)), list('CDEFG'))
self.assertEqual(list(islice('ABCDEFG', 0, None, 2)), list('ACEG'))
def test_zip(self):
self.assertEqual(list(zip('ABCD', 'xy')), [('A', 'x'), ('B', 'y')])
def test_zip_longest(self):
self.assertEqual(list(zip_longest('ABCD', 'xy', fillvalue='-')),
[('A', 'x'), ('B', 'y'), ('C', '-'), ('D', '-')])
def test_permutations(self):
self.assertEqual(list(permutations('ABCD', 2)),
list(map(tuple, 'AB AC AD BA BC BD CA CB CD DA DB DC'.split())))
self.assertEqual(list(permutations(range(3))),
[(0,1,2), (0,2,1), (1,0,2), (1,2,0), (2,0,1), (2,1,0)])
def test_product(self):
self.assertEqual(list(product('ABCD', 'xy')),
list(map(tuple, 'Ax Ay Bx By Cx Cy Dx Dy'.split())))
self.assertEqual(list(product(range(2), repeat=3)),
[(0,0,0), (0,0,1), (0,1,0), (0,1,1),
(1,0,0), (1,0,1), (1,1,0), (1,1,1)])
def test_repeat(self):
self.assertEqual(list(repeat(10, 3)), [10, 10, 10])
def test_stapmap(self):
self.assertEqual(list(starmap(pow, [(2,5), (3,2), (10,3)])),
[32, 9, 1000])
def test_takewhile(self):
self.assertEqual(list(takewhile(lambda x: x<5, [1,4,6,4,1])), [1,4])
class TestPurePythonRoughEquivalents(unittest.TestCase):
@staticmethod
def islice(iterable, *args):
s = slice(*args)
start, stop, step = s.start or 0, s.stop or sys.maxsize, s.step or 1
it = iter(range(start, stop, step))
try:
nexti = next(it)
except StopIteration:
# Consume *iterable* up to the *start* position.
for i, element in zip(range(start), iterable):
pass
return
try:
for i, element in enumerate(iterable):
if i == nexti:
yield element
nexti = next(it)
except StopIteration:
# Consume to *stop*.
for i, element in zip(range(i + 1, stop), iterable):
pass
def test_islice_recipe(self):
self.assertEqual(list(self.islice('ABCDEFG', 2)), list('AB'))
self.assertEqual(list(self.islice('ABCDEFG', 2, 4)), list('CD'))
self.assertEqual(list(self.islice('ABCDEFG', 2, None)), list('CDEFG'))
self.assertEqual(list(self.islice('ABCDEFG', 0, None, 2)), list('ACEG'))
# Test items consumed.
it = iter(range(10))
self.assertEqual(list(self.islice(it, 3)), list(range(3)))
self.assertEqual(list(it), list(range(3, 10)))
it = iter(range(10))
self.assertEqual(list(self.islice(it, 3, 3)), [])
self.assertEqual(list(it), list(range(3, 10)))
# Test that slice finishes in predictable state.
c = count()
self.assertEqual(list(self.islice(c, 1, 3, 50)), [1])
self.assertEqual(next(c), 3)
class TestGC(unittest.TestCase):
def makecycle(self, iterator, container):
container.append(iterator)
next(iterator)
del container, iterator
def test_accumulate(self):
a = []
self.makecycle(accumulate([1,2,a,3]), a)
def test_chain(self):
a = []
self.makecycle(chain(a), a)
def test_chain_from_iterable(self):
a = []
self.makecycle(chain.from_iterable([a]), a)
def test_combinations(self):
a = []
self.makecycle(combinations([1,2,a,3], 3), a)
def test_combinations_with_replacement(self):
a = []
self.makecycle(combinations_with_replacement([1,2,a,3], 3), a)
def test_compress(self):
a = []
self.makecycle(compress('ABCDEF', [1,0,1,0,1,0]), a)
def test_count(self):
a = []
Int = type('Int', (int,), dict(x=a))
self.makecycle(count(Int(0), Int(1)), a)
def test_cycle(self):
a = []
self.makecycle(cycle([a]*2), a)
def test_dropwhile(self):
a = []
self.makecycle(dropwhile(bool, [0, a, a]), a)
def test_groupby(self):
a = []
self.makecycle(groupby([a]*2, lambda x:x), a)
def test_issue2246(self):
# Issue 2246 -- the _grouper iterator was not included in GC
n = 10
keyfunc = lambda x: x
for i, j in groupby(range(n), key=keyfunc):
keyfunc.__dict__.setdefault('x',[]).append(j)
def test_filter(self):
a = []
self.makecycle(filter(lambda x:True, [a]*2), a)
def test_filterfalse(self):
a = []
self.makecycle(filterfalse(lambda x:False, a), a)
def test_zip(self):
a = []
self.makecycle(zip([a]*2, [a]*3), a)
def test_zip_longest(self):
a = []
self.makecycle(zip_longest([a]*2, [a]*3), a)
b = [a, None]
self.makecycle(zip_longest([a]*2, [a]*3, fillvalue=b), a)
def test_map(self):
a = []
self.makecycle(map(lambda x:x, [a]*2), a)
def test_islice(self):
a = []
self.makecycle(islice([a]*2, None), a)
def test_pairwise(self):
a = []
self.makecycle(pairwise([a]*5), a)
def test_permutations(self):
a = []
self.makecycle(permutations([1,2,a,3], 3), a)
def test_product(self):
a = []
self.makecycle(product([1,2,a,3], repeat=3), a)
def test_repeat(self):
a = []
self.makecycle(repeat(a), a)
def test_starmap(self):
a = []
self.makecycle(starmap(lambda *t: t, [(a,a)]*2), a)
def test_takewhile(self):
a = []
self.makecycle(takewhile(bool, [1, 0, a, a]), a)
def R(seqn):
'Regular generator'
for i in seqn:
yield i
class G:
'Sequence using __getitem__'
def __init__(self, seqn):
self.seqn = seqn
def __getitem__(self, i):
return self.seqn[i]
class I:
'Sequence using iterator protocol'
def __init__(self, seqn):
self.seqn = seqn
self.i = 0
def __iter__(self):
return self
def __next__(self):
if self.i >= len(self.seqn): raise StopIteration
v = self.seqn[self.i]
self.i += 1
return v
class Ig:
'Sequence using iterator protocol defined with a generator'
def __init__(self, seqn):
self.seqn = seqn
self.i = 0
def __iter__(self):
for val in self.seqn:
yield val
class X:
'Missing __getitem__ and __iter__'
def __init__(self, seqn):
self.seqn = seqn
self.i = 0
def __next__(self):
if self.i >= len(self.seqn): raise StopIteration
v = self.seqn[self.i]
self.i += 1
return v
class N:
'Iterator missing __next__()'
def __init__(self, seqn):
self.seqn = seqn
self.i = 0
def __iter__(self):
return self
class E:
'Test propagation of exceptions'
def __init__(self, seqn):
self.seqn = seqn
self.i = 0
def __iter__(self):
return self
def __next__(self):
3 // 0
class S:
'Test immediate stop'
def __init__(self, seqn):
pass
def __iter__(self):
return self
def __next__(self):
raise StopIteration
def L(seqn):
'Test multiple tiers of iterators'
return chain(map(lambda x:x, R(Ig(G(seqn)))))
class TestVariousIteratorArgs(unittest.TestCase):
def test_accumulate(self):
s = [1,2,3,4,5]
r = [1,3,6,10,15]
n = len(s)
for g in (G, I, Ig, L, R):
self.assertEqual(list(accumulate(g(s))), r)
self.assertEqual(list(accumulate(S(s))), [])
self.assertRaises(TypeError, accumulate, X(s))
self.assertRaises(TypeError, accumulate, N(s))
self.assertRaises(ZeroDivisionError, list, accumulate(E(s)))
def test_chain(self):
for s in ("123", "", range(1000), ('do', 1.2), range(2000,2200,5)):
for g in (G, I, Ig, S, L, R):
self.assertEqual(list(chain(g(s))), list(g(s)))
self.assertEqual(list(chain(g(s), g(s))), list(g(s))+list(g(s)))
self.assertRaises(TypeError, list, chain(X(s)))
self.assertRaises(TypeError, list, chain(N(s)))
self.assertRaises(ZeroDivisionError, list, chain(E(s)))
def test_compress(self):
for s in ("123", "", range(1000), ('do', 1.2), range(2000,2200,5)):
n = len(s)
for g in (G, I, Ig, S, L, R):
self.assertEqual(list(compress(g(s), repeat(1))), list(g(s)))
self.assertRaises(TypeError, compress, X(s), repeat(1))
self.assertRaises(TypeError, compress, N(s), repeat(1))
self.assertRaises(ZeroDivisionError, list, compress(E(s), repeat(1)))
def test_product(self):
for s in ("123", "", range(1000), ('do', 1.2), range(2000,2200,5)):
self.assertRaises(TypeError, product, X(s))
self.assertRaises(TypeError, product, N(s))
self.assertRaises(ZeroDivisionError, product, E(s))
def test_cycle(self):
for s in ("123", "", range(1000), ('do', 1.2), range(2000,2200,5)):
for g in (G, I, Ig, S, L, R):
tgtlen = len(s) * 3
expected = list(g(s))*3
actual = list(islice(cycle(g(s)), tgtlen))
self.assertEqual(actual, expected)
self.assertRaises(TypeError, cycle, X(s))
self.assertRaises(TypeError, cycle, N(s))
self.assertRaises(ZeroDivisionError, list, cycle(E(s)))
def test_groupby(self):
for s in (range(10), range(0), range(1000), (7,11), range(2000,2200,5)):
for g in (G, I, Ig, S, L, R):
self.assertEqual([k for k, sb in groupby(g(s))], list(g(s)))
self.assertRaises(TypeError, groupby, X(s))
self.assertRaises(TypeError, groupby, N(s))
self.assertRaises(ZeroDivisionError, list, groupby(E(s)))
def test_filter(self):
for s in (range(10), range(0), range(1000), (7,11), range(2000,2200,5)):
for g in (G, I, Ig, S, L, R):
self.assertEqual(list(filter(isEven, g(s))),
[x for x in g(s) if isEven(x)])
self.assertRaises(TypeError, filter, isEven, X(s))
self.assertRaises(TypeError, filter, isEven, N(s))
self.assertRaises(ZeroDivisionError, list, filter(isEven, E(s)))
def test_filterfalse(self):
for s in (range(10), range(0), range(1000), (7,11), range(2000,2200,5)):
for g in (G, I, Ig, S, L, R):
self.assertEqual(list(filterfalse(isEven, g(s))),
[x for x in g(s) if isOdd(x)])
self.assertRaises(TypeError, filterfalse, isEven, X(s))
self.assertRaises(TypeError, filterfalse, isEven, N(s))
self.assertRaises(ZeroDivisionError, list, filterfalse(isEven, E(s)))
def test_zip(self):
for s in ("123", "", range(1000), ('do', 1.2), range(2000,2200,5)):
for g in (G, I, Ig, S, L, R):
self.assertEqual(list(zip(g(s))), lzip(g(s)))
self.assertEqual(list(zip(g(s), g(s))), lzip(g(s), g(s)))
self.assertRaises(TypeError, zip, X(s))
self.assertRaises(TypeError, zip, N(s))
self.assertRaises(ZeroDivisionError, list, zip(E(s)))
def test_ziplongest(self):
for s in ("123", "", range(1000), ('do', 1.2), range(2000,2200,5)):
for g in (G, I, Ig, S, L, R):
self.assertEqual(list(zip_longest(g(s))), list(zip(g(s))))
self.assertEqual(list(zip_longest(g(s), g(s))), list(zip(g(s), g(s))))
self.assertRaises(TypeError, zip_longest, X(s))
self.assertRaises(TypeError, zip_longest, N(s))
self.assertRaises(ZeroDivisionError, list, zip_longest(E(s)))
def test_map(self):
for s in (range(10), range(0), range(100), (7,11), range(20,50,5)):
for g in (G, I, Ig, S, L, R):
self.assertEqual(list(map(onearg, g(s))),
[onearg(x) for x in g(s)])
self.assertEqual(list(map(operator.pow, g(s), g(s))),
[x**x for x in g(s)])
self.assertRaises(TypeError, map, onearg, X(s))
self.assertRaises(TypeError, map, onearg, N(s))
self.assertRaises(ZeroDivisionError, list, map(onearg, E(s)))
def test_islice(self):
for s in ("12345", "", range(1000), ('do', 1.2), range(2000,2200,5)):
for g in (G, I, Ig, S, L, R):
self.assertEqual(list(islice(g(s),1,None,2)), list(g(s))[1::2])
self.assertRaises(TypeError, islice, X(s), 10)
self.assertRaises(TypeError, islice, N(s), 10)
self.assertRaises(ZeroDivisionError, list, islice(E(s), 10))
def test_pairwise(self):
for s in ("123", "", range(1000), ('do', 1.2), range(2000,2200,5)):
for g in (G, I, Ig, S, L, R):
seq = list(g(s))
expected = list(zip(seq, seq[1:]))
actual = list(pairwise(g(s)))
self.assertEqual(actual, expected)
self.assertRaises(TypeError, pairwise, X(s))
self.assertRaises(TypeError, pairwise, N(s))
self.assertRaises(ZeroDivisionError, list, pairwise(E(s)))
def test_starmap(self):
for s in (range(10), range(0), range(100), (7,11), range(20,50,5)):
for g in (G, I, Ig, S, L, R):
ss = lzip(s, s)
self.assertEqual(list(starmap(operator.pow, g(ss))),
[x**x for x in g(s)])
self.assertRaises(TypeError, starmap, operator.pow, X(ss))
self.assertRaises(TypeError, starmap, operator.pow, N(ss))
self.assertRaises(ZeroDivisionError, list, starmap(operator.pow, E(ss)))
def test_takewhile(self):
for s in (range(10), range(0), range(1000), (7,11), range(2000,2200,5)):
for g in (G, I, Ig, S, L, R):
tgt = []
for elem in g(s):
if not isEven(elem): break
tgt.append(elem)
self.assertEqual(list(takewhile(isEven, g(s))), tgt)
self.assertRaises(TypeError, takewhile, isEven, X(s))
self.assertRaises(TypeError, takewhile, isEven, N(s))
self.assertRaises(ZeroDivisionError, list, takewhile(isEven, E(s)))
def test_dropwhile(self):
for s in (range(10), range(0), range(1000), (7,11), range(2000,2200,5)):
for g in (G, I, Ig, S, L, R):
tgt = []
for elem in g(s):
if not tgt and isOdd(elem): continue
tgt.append(elem)
self.assertEqual(list(dropwhile(isOdd, g(s))), tgt)
self.assertRaises(TypeError, dropwhile, isOdd, X(s))
self.assertRaises(TypeError, dropwhile, isOdd, N(s))
self.assertRaises(ZeroDivisionError, list, dropwhile(isOdd, E(s)))
def test_tee(self):
for s in ("123", "", range(1000), ('do', 1.2), range(2000,2200,5)):
for g in (G, I, Ig, S, L, R):
it1, it2 = tee(g(s))
self.assertEqual(list(it1), list(g(s)))
self.assertEqual(list(it2), list(g(s)))
self.assertRaises(TypeError, tee, X(s))
self.assertRaises(TypeError, tee, N(s))
self.assertRaises(ZeroDivisionError, list, tee(E(s))[0])
class LengthTransparency(unittest.TestCase):
def test_repeat(self):
self.assertEqual(operator.length_hint(repeat(None, 50)), 50)
self.assertEqual(operator.length_hint(repeat(None, 0)), 0)
self.assertEqual(operator.length_hint(repeat(None), 12), 12)
def test_repeat_with_negative_times(self):
self.assertEqual(operator.length_hint(repeat(None, -1)), 0)
self.assertEqual(operator.length_hint(repeat(None, -2)), 0)
self.assertEqual(operator.length_hint(repeat(None, times=-1)), 0)
self.assertEqual(operator.length_hint(repeat(None, times=-2)), 0)
class RegressionTests(unittest.TestCase):
def test_sf_793826(self):
# Fix Armin Rigo's successful efforts to wreak havoc
def mutatingtuple(tuple1, f, tuple2):
# this builds a tuple t which is a copy of tuple1,
# then calls f(t), then mutates t to be equal to tuple2
# (needs len(tuple1) == len(tuple2)).
def g(value, first=[1]):
if first:
del first[:]
f(next(z))
return value
items = list(tuple2)
items[1:1] = list(tuple1)
gen = map(g, items)
z = zip(*[gen]*len(tuple1))
next(z)
def f(t):
global T
T = t
first[:] = list(T)
first = []
mutatingtuple((1,2,3), f, (4,5,6))
second = list(T)
self.assertEqual(first, second)
def test_sf_950057(self):
# Make sure that chain() and cycle() catch exceptions immediately
# rather than when shifting between input sources
def gen1():
hist.append(0)
yield 1
hist.append(1)
raise AssertionError
hist.append(2)
def gen2(x):
hist.append(3)
yield 2
hist.append(4)
hist = []
self.assertRaises(AssertionError, list, chain(gen1(), gen2(False)))
self.assertEqual(hist, [0,1])
hist = []
self.assertRaises(AssertionError, list, chain(gen1(), gen2(True)))
self.assertEqual(hist, [0,1])
hist = []
self.assertRaises(AssertionError, list, cycle(gen1()))
self.assertEqual(hist, [0,1])
@support.skip_if_pgo_task
def test_long_chain_of_empty_iterables(self):
# Make sure itertools.chain doesn't run into recursion limits when
# dealing with long chains of empty iterables. Even with a high
# number this would probably only fail in Py_DEBUG mode.
it = chain.from_iterable(() for unused in range(10000000))
with self.assertRaises(StopIteration):
next(it)
def test_issue30347_1(self):
def f(n):
if n == 5:
list(b)
return n != 6
for (k, b) in groupby(range(10), f):
list(b) # shouldn't crash
def test_issue30347_2(self):
class K:
def __init__(self, v):
pass
def __eq__(self, other):
nonlocal i
i += 1
if i == 1:
next(g, None)
return True
i = 0
g = next(groupby(range(10), K))[1]
for j in range(2):
next(g, None) # shouldn't crash
class SubclassWithKwargsTest(unittest.TestCase):
def test_keywords_in_subclass(self):
# count is not subclassable...
for cls in (repeat, zip, filter, filterfalse, chain, map,
starmap, islice, takewhile, dropwhile, cycle, compress):
class Subclass(cls):
def __init__(self, newarg=None, *args):
cls.__init__(self, *args)
try:
Subclass(newarg=1)
except TypeError as err:
# we expect type errors because of wrong argument count
self.assertNotIn("keyword arguments", err.args[0])
@support.cpython_only
class SizeofTest(unittest.TestCase):
def setUp(self):
self.ssize_t = struct.calcsize('n')
check_sizeof = support.check_sizeof
def test_product_sizeof(self):
basesize = support.calcobjsize('3Pi')
check = self.check_sizeof
check(product('ab', '12'), basesize + 2 * self.ssize_t)
check(product(*(('abc',) * 10)), basesize + 10 * self.ssize_t)
def test_combinations_sizeof(self):
basesize = support.calcobjsize('3Pni')
check = self.check_sizeof
check(combinations('abcd', 3), basesize + 3 * self.ssize_t)
check(combinations(range(10), 4), basesize + 4 * self.ssize_t)
def test_combinations_with_replacement_sizeof(self):
cwr = combinations_with_replacement
basesize = support.calcobjsize('3Pni')
check = self.check_sizeof
check(cwr('abcd', 3), basesize + 3 * self.ssize_t)
check(cwr(range(10), 4), basesize + 4 * self.ssize_t)
def test_permutations_sizeof(self):
basesize = support.calcobjsize('4Pni')
check = self.check_sizeof
check(permutations('abcd'),
basesize + 4 * self.ssize_t + 4 * self.ssize_t)
check(permutations('abcd', 3),
basesize + 4 * self.ssize_t + 3 * self.ssize_t)
check(permutations('abcde', 3),
basesize + 5 * self.ssize_t + 3 * self.ssize_t)
check(permutations(range(10), 4),
basesize + 10 * self.ssize_t + 4 * self.ssize_t)
libreftest = """ Doctest for examples in the library reference: libitertools.tex
>>> amounts = [120.15, 764.05, 823.14]
>>> for checknum, amount in zip(count(1200), amounts):
... print('Check %d is for $%.2f' % (checknum, amount))
...
Check 1200 is for $120.15
Check 1201 is for $764.05
Check 1202 is for $823.14
>>> import operator
>>> for cube in map(operator.pow, range(1,4), repeat(3)):
... print(cube)
...
1
8
27
>>> reportlines = ['EuroPython', 'Roster', '', 'alex', '', 'laura', '', 'martin', '', 'walter', '', 'samuele']
>>> for name in islice(reportlines, 3, None, 2):
... print(name.title())
...
Alex
Laura
Martin
Walter
Samuele
>>> from operator import itemgetter
>>> d = dict(a=1, b=2, c=1, d=2, e=1, f=2, g=3)
>>> di = sorted(sorted(d.items()), key=itemgetter(1))
>>> for k, g in groupby(di, itemgetter(1)):
... print(k, list(map(itemgetter(0), g)))
...
1 ['a', 'c', 'e']
2 ['b', 'd', 'f']
3 ['g']
# Find runs of consecutive numbers using groupby. The key to the solution
# is differencing with a range so that consecutive numbers all appear in
# same group.
>>> data = [ 1, 4,5,6, 10, 15,16,17,18, 22, 25,26,27,28]
>>> for k, g in groupby(enumerate(data), lambda t:t[0]-t[1]):
... print(list(map(operator.itemgetter(1), g)))
...
[1]
[4, 5, 6]
[10]
[15, 16, 17, 18]
[22]
[25, 26, 27, 28]
>>> def take(n, iterable):
... "Return first n items of the iterable as a list"
... return list(islice(iterable, n))
>>> def prepend(value, iterator):
... "Prepend a single value in front of an iterator"
... # prepend(1, [2, 3, 4]) -> 1 2 3 4
... return chain([value], iterator)
>>> def enumerate(iterable, start=0):
... return zip(count(start), iterable)
>>> def tabulate(function, start=0):
... "Return function(0), function(1), ..."
... return map(function, count(start))
>>> import collections
>>> def consume(iterator, n=None):
... "Advance the iterator n-steps ahead. If n is None, consume entirely."
... # Use functions that consume iterators at C speed.
... if n is None:
... # feed the entire iterator into a zero-length deque
... collections.deque(iterator, maxlen=0)
... else:
... # advance to the empty slice starting at position n
... next(islice(iterator, n, n), None)
>>> def nth(iterable, n, default=None):
... "Returns the nth item or a default value"
... return next(islice(iterable, n, None), default)
>>> def all_equal(iterable):
... "Returns True if all the elements are equal to each other"
... g = groupby(iterable)
... return next(g, True) and not next(g, False)
>>> def quantify(iterable, pred=bool):
... "Count how many times the predicate is true"
... return sum(map(pred, iterable))
>>> def pad_none(iterable):
... "Returns the sequence elements and then returns None indefinitely"
... return chain(iterable, repeat(None))
>>> def ncycles(iterable, n):
... "Returns the sequence elements n times"
... return chain(*repeat(iterable, n))
>>> def dotproduct(vec1, vec2):
... return sum(map(operator.mul, vec1, vec2))
>>> def flatten(listOfLists):
... return list(chain.from_iterable(listOfLists))
>>> def repeatfunc(func, times=None, *args):
... "Repeat calls to func with specified arguments."
... " Example: repeatfunc(random.random)"
... if times is None:
... return starmap(func, repeat(args))
... else:
... return starmap(func, repeat(args, times))
>>> def grouper(iterable, n, *, incomplete='fill', fillvalue=None):
... "Collect data into non-overlapping fixed-length chunks or blocks"
... # grouper('ABCDEFG', 3, fillvalue='x') --> ABC DEF Gxx
... # grouper('ABCDEFG', 3, incomplete='strict') --> ABC DEF ValueError
... # grouper('ABCDEFG', 3, incomplete='ignore') --> ABC DEF
... args = [iter(iterable)] * n
... if incomplete == 'fill':
... return zip_longest(*args, fillvalue=fillvalue)
... if incomplete == 'strict':
... return zip(*args, strict=True)
... if incomplete == 'ignore':
... return zip(*args)
... else:
... raise ValueError('Expected fill, strict, or ignore')
>>> def triplewise(iterable):
... "Return overlapping triplets from an iterable"
... # pairwise('ABCDEFG') -> ABC BCD CDE DEF EFG
... for (a, _), (b, c) in pairwise(pairwise(iterable)):
... yield a, b, c
>>> import collections
>>> def sliding_window(iterable, n):
... # sliding_window('ABCDEFG', 4) -> ABCD BCDE CDEF DEFG
... it = iter(iterable)
... window = collections.deque(islice(it, n), maxlen=n)
... if len(window) == n:
... yield tuple(window)
... for x in it:
... window.append(x)
... yield tuple(window)
>>> def roundrobin(*iterables):
... "roundrobin('ABC', 'D', 'EF') --> A D E B F C"
... # Recipe credited to George Sakkis
... pending = len(iterables)
... nexts = cycle(iter(it).__next__ for it in iterables)
... while pending:
... try:
... for next in nexts:
... yield next()
... except StopIteration:
... pending -= 1
... nexts = cycle(islice(nexts, pending))
>>> def partition(pred, iterable):
... "Use a predicate to partition entries into false entries and true entries"
... # partition(is_odd, range(10)) --> 0 2 4 6 8 and 1 3 5 7 9
... t1, t2 = tee(iterable)
... return filterfalse(pred, t1), filter(pred, t2)
>>> def before_and_after(predicate, it):
... ''' Variant of takewhile() that allows complete
... access to the remainder of the iterator.
...
... >>> all_upper, remainder = before_and_after(str.isupper, 'ABCdEfGhI')
... >>> str.join('', all_upper)
... 'ABC'
... >>> str.join('', remainder)
... 'dEfGhI'
...
... Note that the first iterator must be fully
... consumed before the second iterator can
... generate valid results.
... '''
... it = iter(it)
... transition = []
... def true_iterator():
... for elem in it:
... if predicate(elem):
... yield elem
... else:
... transition.append(elem)
... return
... def remainder_iterator():
... yield from transition
... yield from it
... return true_iterator(), remainder_iterator()
>>> def powerset(iterable):
... "powerset([1,2,3]) --> () (1,) (2,) (3,) (1,2) (1,3) (2,3) (1,2,3)"
... s = list(iterable)
... return chain.from_iterable(combinations(s, r) for r in range(len(s)+1))
>>> def unique_everseen(iterable, key=None):
... "List unique elements, preserving order. Remember all elements ever seen."
... # unique_everseen('AAAABBBCCDAABBB') --> A B C D
... # unique_everseen('ABBCcAD', str.lower) --> A B C D
... seen = set()
... seen_add = seen.add
... if key is None:
... for element in iterable:
... if element not in seen:
... seen_add(element)
... yield element
... else:
... for element in iterable:
... k = key(element)
... if k not in seen:
... seen_add(k)
... yield element
>>> def unique_justseen(iterable, key=None):
... "List unique elements, preserving order. Remember only the element just seen."
... # unique_justseen('AAAABBBCCDAABBB') --> A B C D A B
... # unique_justseen('ABBCcAD', str.lower) --> A B C A D
... return map(next, map(itemgetter(1), groupby(iterable, key)))
>>> def first_true(iterable, default=False, pred=None):
... '''Returns the first true value in the iterable.
...
... If no true value is found, returns *default*
...
... If *pred* is not None, returns the first item
... for which pred(item) is true.
...
... '''
... # first_true([a,b,c], x) --> a or b or c or x
... # first_true([a,b], x, f) --> a if f(a) else b if f(b) else x
... return next(filter(pred, iterable), default)
>>> def nth_combination(iterable, r, index):
... 'Equivalent to list(combinations(iterable, r))[index]'
... pool = tuple(iterable)
... n = len(pool)
... if r < 0 or r > n:
... raise ValueError
... c = 1
... k = min(r, n-r)
... for i in range(1, k+1):
... c = c * (n - k + i) // i
... if index < 0:
... index += c
... if index < 0 or index >= c:
... raise IndexError
... result = []
... while r:
... c, n, r = c*r//n, n-1, r-1
... while index >= c:
... index -= c
... c, n = c*(n-r)//n, n-1
... result.append(pool[-1-n])
... return tuple(result)
This is not part of the examples but it tests to make sure the definitions
perform as purported.
>>> take(10, count())
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
>>> list(prepend(1, [2, 3, 4]))
[1, 2, 3, 4]
>>> list(enumerate('abc'))
[(0, 'a'), (1, 'b'), (2, 'c')]
>>> list(islice(tabulate(lambda x: 2*x), 4))
[0, 2, 4, 6]
>>> it = iter(range(10))
>>> consume(it, 3)
>>> next(it)
3
>>> consume(it)
>>> next(it, 'Done')
'Done'
>>> nth('abcde', 3)
'd'
>>> nth('abcde', 9) is None
True
>>> [all_equal(s) for s in ('', 'A', 'AAAA', 'AAAB', 'AAABA')]
[True, True, True, False, False]
>>> quantify(range(99), lambda x: x%2==0)
50
>>> a = [[1, 2, 3], [4, 5, 6]]
>>> flatten(a)
[1, 2, 3, 4, 5, 6]
>>> list(repeatfunc(pow, 5, 2, 3))
[8, 8, 8, 8, 8]
>>> import random
>>> take(5, map(int, repeatfunc(random.random)))
[0, 0, 0, 0, 0]
>>> list(islice(pad_none('abc'), 0, 6))
['a', 'b', 'c', None, None, None]
>>> list(ncycles('abc', 3))
['a', 'b', 'c', 'a', 'b', 'c', 'a', 'b', 'c']
>>> dotproduct([1,2,3], [4,5,6])
32
>>> list(grouper('abcdefg', 3, fillvalue='x'))
[('a', 'b', 'c'), ('d', 'e', 'f'), ('g', 'x', 'x')]
>>> it = grouper('abcdefg', 3, incomplete='strict')
>>> next(it)
('a', 'b', 'c')
>>> next(it)
('d', 'e', 'f')
>>> next(it)
Traceback (most recent call last):
...
ValueError: zip() argument 2 is shorter than argument 1
>>> list(grouper('abcdefg', n=3, incomplete='ignore'))
[('a', 'b', 'c'), ('d', 'e', 'f')]
>>> list(triplewise('ABCDEFG'))
[('A', 'B', 'C'), ('B', 'C', 'D'), ('C', 'D', 'E'), ('D', 'E', 'F'), ('E', 'F', 'G')]
>>> list(sliding_window('ABCDEFG', 4))
[('A', 'B', 'C', 'D'), ('B', 'C', 'D', 'E'), ('C', 'D', 'E', 'F'), ('D', 'E', 'F', 'G')]
>>> list(roundrobin('abc', 'd', 'ef'))
['a', 'd', 'e', 'b', 'f', 'c']
>>> def is_odd(x):
... return x % 2 == 1
>>> evens, odds = partition(is_odd, range(10))
>>> list(evens)
[0, 2, 4, 6, 8]
>>> list(odds)
[1, 3, 5, 7, 9]
>>> it = iter('ABCdEfGhI')
>>> all_upper, remainder = before_and_after(str.isupper, it)
>>> ''.join(all_upper)
'ABC'
>>> ''.join(remainder)
'dEfGhI'
>>> list(powerset([1,2,3]))
[(), (1,), (2,), (3,), (1, 2), (1, 3), (2, 3), (1, 2, 3)]
>>> all(len(list(powerset(range(n)))) == 2**n for n in range(18))
True
>>> list(powerset('abcde')) == sorted(sorted(set(powerset('abcde'))), key=len)
True
>>> list(unique_everseen('AAAABBBCCDAABBB'))
['A', 'B', 'C', 'D']
>>> list(unique_everseen('ABBCcAD', str.lower))
['A', 'B', 'C', 'D']
>>> list(unique_justseen('AAAABBBCCDAABBB'))
['A', 'B', 'C', 'D', 'A', 'B']
>>> list(unique_justseen('ABBCcAD', str.lower))
['A', 'B', 'C', 'A', 'D']
>>> first_true('ABC0DEF1', '9', str.isdigit)
'0'
>>> population = 'ABCDEFGH'
>>> for r in range(len(population) + 1):
... seq = list(combinations(population, r))
... for i in range(len(seq)):
... assert nth_combination(population, r, i) == seq[i]
... for i in range(-len(seq), 0):
... assert nth_combination(population, r, i) == seq[i]
"""
__test__ = {'libreftest' : libreftest}
def test_main(verbose=None):
test_classes = (TestBasicOps, TestVariousIteratorArgs, TestGC,
RegressionTests, LengthTransparency,
SubclassWithKwargsTest, TestExamples,
TestPurePythonRoughEquivalents,
SizeofTest)
support.run_unittest(*test_classes)
# verify reference counting
if verbose and hasattr(sys, "gettotalrefcount"):
import gc
counts = [None] * 5
for i in range(len(counts)):
support.run_unittest(*test_classes)
gc.collect()
counts[i] = sys.gettotalrefcount()
print(counts)
# doctest the examples in the library reference
support.run_doctest(sys.modules[__name__], verbose)
if __name__ == "__main__":
test_main(verbose=True)