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- Note: process_time gives CPU time used and perf_counter is absolute time used. - Looks to have noise of about 1-2%.
81 lines
2.0 KiB
Python
81 lines
2.0 KiB
Python
#!/usr/bin/python
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# http://www.bagley.org/~doug/shootout/
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from __future__ import print_function
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import sys
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import time
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# Map "range" to an efficient range in both Python 2 and 3.
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try:
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range = xrange
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except NameError:
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pass
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class Toggle(object):
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def __init__(self, start_state):
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self.bool = start_state
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def value(self):
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return(self.bool)
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def activate(self):
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self.bool = not self.bool
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return(self)
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class NthToggle(Toggle):
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def __init__(self, start_state, max_counter):
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Toggle.__init__(self, start_state)
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self.count_max = max_counter
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self.counter = 0
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def activate(self):
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self.counter += 1
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if (self.counter >= self.count_max):
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super(NthToggle, self).activate()
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self.counter = 0
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return(self)
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def main():
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start = time.process_time()
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NUM = 100000
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val = 1
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toggle = Toggle(val)
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for i in range(0,NUM):
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val = toggle.activate().value()
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val = toggle.activate().value()
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val = toggle.activate().value()
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val = toggle.activate().value()
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val = toggle.activate().value()
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val = toggle.activate().value()
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val = toggle.activate().value()
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val = toggle.activate().value()
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val = toggle.activate().value()
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val = toggle.activate().value()
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if val:
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print("true")
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else:
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print("false")
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val = 1
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ntoggle = NthToggle(val, 3)
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for i in range(0,NUM):
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val = ntoggle.activate().value()
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val = ntoggle.activate().value()
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val = ntoggle.activate().value()
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val = ntoggle.activate().value()
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val = ntoggle.activate().value()
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val = ntoggle.activate().value()
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val = ntoggle.activate().value()
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val = ntoggle.activate().value()
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val = ntoggle.activate().value()
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val = ntoggle.activate().value()
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if val:
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print("true")
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else:
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print("false")
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print("elapsed: " + str(time.process_time() - start))
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main()
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