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Raise statement normalization in Lib/.
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80 changed files with 502 additions and 530 deletions
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@ -157,18 +157,18 @@ class Random(_random.Random):
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# common case while still doing adequate error checking.
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istart = int(start)
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if istart != start:
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raise ValueError, "non-integer arg 1 for randrange()"
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raise ValueError("non-integer arg 1 for randrange()")
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if stop is default:
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if istart > 0:
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if istart >= maxwidth:
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return self._randbelow(istart)
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return int(self.random() * istart)
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raise ValueError, "empty range for randrange()"
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raise ValueError("empty range for randrange()")
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# stop argument supplied.
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istop = int(stop)
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if istop != stop:
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raise ValueError, "non-integer stop for randrange()"
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raise ValueError("non-integer stop for randrange()")
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width = istop - istart
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if step == 1 and width > 0:
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# Note that
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@ -188,21 +188,21 @@ class Random(_random.Random):
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return int(istart + self._randbelow(width))
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return int(istart + int(self.random()*width))
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if step == 1:
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raise ValueError, "empty range for randrange() (%d,%d, %d)" % (istart, istop, width)
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raise ValueError("empty range for randrange() (%d,%d, %d)" % (istart, istop, width))
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# Non-unit step argument supplied.
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istep = int(step)
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if istep != step:
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raise ValueError, "non-integer step for randrange()"
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raise ValueError("non-integer step for randrange()")
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if istep > 0:
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n = (width + istep - 1) // istep
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elif istep < 0:
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n = (width + istep + 1) // istep
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else:
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raise ValueError, "zero step for randrange()"
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raise ValueError("zero step for randrange()")
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if n <= 0:
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raise ValueError, "empty range for randrange()"
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raise ValueError("empty range for randrange()")
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if n >= maxwidth:
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return istart + istep*self._randbelow(n)
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@ -300,7 +300,7 @@ class Random(_random.Random):
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n = len(population)
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if not 0 <= k <= n:
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raise ValueError, "sample larger than population"
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raise ValueError("sample larger than population")
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random = self.random
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_int = int
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result = [None] * k
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@ -459,7 +459,7 @@ class Random(_random.Random):
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# Warning: a few older sources define the gamma distribution in terms
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# of alpha > -1.0
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if alpha <= 0.0 or beta <= 0.0:
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raise ValueError, 'gammavariate: alpha and beta must be > 0.0'
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raise ValueError('gammavariate: alpha and beta must be > 0.0')
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random = self.random
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if alpha > 1.0:
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