mirror of https://github.com/python/cpython
#6814: remove traces of xrange().
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@ -98,17 +98,17 @@ def test():
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t = time.time()
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A = list(map(pow3, range(N)))
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print('\tmap(pow3, xrange(%d)):\n\t\t%s seconds' % \
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print('\tmap(pow3, range(%d)):\n\t\t%s seconds' % \
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(N, time.time() - t))
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t = time.time()
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B = pool.map(pow3, range(N))
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print('\tpool.map(pow3, xrange(%d)):\n\t\t%s seconds' % \
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print('\tpool.map(pow3, range(%d)):\n\t\t%s seconds' % \
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(N, time.time() - t))
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t = time.time()
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C = list(pool.imap(pow3, range(N), chunksize=N//8))
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print('\tlist(pool.imap(pow3, xrange(%d), chunksize=%d)):\n\t\t%s' \
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print('\tlist(pool.imap(pow3, range(%d), chunksize=%d)):\n\t\t%s' \
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' seconds' % (N, N//8, time.time() - t))
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assert A == B == C, (len(A), len(B), len(C))
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@ -396,7 +396,7 @@ by file descriptors.
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Close all file descriptors from *fd_low* (inclusive) to *fd_high* (exclusive),
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ignoring errors. Availability: Unix, Windows. Equivalent to::
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for fd in xrange(fd_low, fd_high):
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for fd in range(fd_low, fd_high):
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try:
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os.close(fd)
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except OSError:
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@ -606,7 +606,7 @@ from time import clock as now
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def fill(n):
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from random import random
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return [random() for i in xrange(n)]
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return [random() for i in range(n)]
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def mycmp(x, y):
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global ncmp
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@ -431,7 +431,7 @@ PyTypeObject PyRangeIter_Type = {
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rangeiter_new, /* tp_new */
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};
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/* Return number of items in range/xrange (lo, hi, step). step > 0
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/* Return number of items in range (lo, hi, step). step > 0
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* required. Return a value < 0 if & only if the true value is too
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* large to fit in a signed long.
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*/
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@ -260,10 +260,7 @@ class IntegerCounting(Test):
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# Run test rounds
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#
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# NOTE: Use xrange() for all test loops unless you want to face
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# a 20MB process !
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#
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for i in xrange(self.rounds):
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for i in range(self.rounds):
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# Repeat the operations per round to raise the run-time
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# per operation significantly above the noise level of the
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@ -305,7 +302,7 @@ class IntegerCounting(Test):
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a = 1
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# Run test rounds (without actually doing any operation)
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for i in xrange(self.rounds):
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for i in range(self.rounds):
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# Skip the actual execution of the operations, since we
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# only want to measure the test's administration overhead.
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