forked from jasder/antlr
Merge pull request #946 from parrt/master
pull in antlr4-python2 history for runtime files.
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commit
050cdd1511
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__author__ = 'ericvergnaud'
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import unittest
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import time
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import uuid
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class TestAtomicPerformance(unittest.TestCase):
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# test to check that on the current platform, a < b < c is faster than b in xrange(a,c)
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# x in xrange is intensively used in Interval
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def test_in_xrange(self):
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xstart = time.time()
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# check with 20 various range sizes
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for max in xrange(0,1000,50):
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r = xrange(0,max)
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for i in r:
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ok = i in r
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xend = time.time()
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print str((xend-xstart)*1000000)
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ystart = time.time()
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# check with 20 various range sizes
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for max in xrange(0,1000,50):
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r = xrange(0,max)
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for i in r:
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ok = max > i >= 0
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yend = time.time()
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print str((yend-ystart)*1000000)
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self.assertTrue((yend-ystart)<(xend-xstart))
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# test to check that on the current platform, hashing string tuples is faster than hashing strings
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def test_tuple_hash(self):
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# create an array of random strings
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s = []
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for i in xrange(0,10000):
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s.append(str(uuid.uuid4()))
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# hash then using string concat
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xstart = time.time()
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for i in xrange(0,9999):
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a = hash(s[i] + s[i+1])
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for i in xrange(0,9998):
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a = hash(s[i] + s[i+1] + s[i+2])
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for i in xrange(0,9997):
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a = hash(s[i] + s[i+1] + s[i+2] + s[i+3])
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xend = time.time()
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print str((xend-xstart)*1000000)
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ystart = time.time()
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# hash then using string tuple
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for i in xrange(0,9999):
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a = hash((s[i],s[i+1]))
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for i in xrange(0,9998):
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a = hash((s[i],s[i+1],s[i+2]))
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for i in xrange(0,9997):
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a = hash((s[i],s[i+1],s[i+2],s[i+3]))
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yend = time.time()
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print str((yend-ystart)*1000000)
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self.assertTrue((yend-ystart)<(xend-xstart))
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if __name__ == '__main__':
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unittest.main()
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@ -0,0 +1,17 @@
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__author__ = 'ericvergnaud'
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import unittest
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import time
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import uuid
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class TestXPath(unittest.TestCase):
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def testLoadable(self):
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from antlr4.xpath import XPath
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self.assertTrue(True)
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if __name__ == '__main__':
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unittest.main()
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