def __init__(self, min, max):
"""
Return a IntRange instance.
min and max are the range boundaries.
"""
Generator.__init__(self)
self.offset = min
self.delta = max - min
self.rng = omdeRand.UniformRNG()
def __init__(self, min, max):
"""
Return a IntRange instance.
min and max are the range boundaries.
"""
Generator.__init__(self)
self.offset = min
self.delta = max - min
self.rng = omdeRand.UniformRNG()
def __init__(self, *list0, **dict):
Generator.__init__(self)
mode = "cycle"
for key in dict.keys():
if key == "mode":
mode = dict["mode"]
list0 = list(list0)
if len(list0) == 0:
raise ValueError, "cannot create an empty List"
self.list = copy.deepcopy(list0)
if mode in ["cycle", "c"]:
self.index = 0
self.next = self.cycle_next
elif mode in ["swing", "s"]:
self.index = 0
self.step = 1
self.next = self.swing_next
elif mode in ["swing-repeat", "w"]:
reversed = copy.deepcopy(list0)
reversed.reverse()
self.list.extend(reversed)
self.index = 0
self.next = self.cycle_next
elif mode in ["heap", "h"]:
self.index = 0
self.next = self.cycle_next
self.list = self.computePermutations(list0)
elif mode in ["random", "r"]:
self.next = self.random_next
else:
raise ValueError, self._value_error_message % mode
def __init__(self, *list0, **dict):
Generator.__init__(self)
mode = 'cycle'
for key in dict.keys():
if key == 'mode': mode = dict['mode']
list0 = list(list0)
if len(list0) == 0:
raise ValueError, 'cannot create an empty List'
self.list = copy.deepcopy(list0)
if mode in ['cycle', 'c']:
self.index = 0
self.next = self.cycle_next
elif mode in ['swing', 's']:
self.index = 0
self.step = 1
self.next = self.swing_next
elif mode in ['swing-repeat', 'w']:
reversed = copy.deepcopy(list0)
reversed.reverse()
self.list.extend(reversed)
self.index = 0
self.next = self.cycle_next
elif mode in ['heap', 'h']:
self.index = 0
self.next = self.cycle_next
self.list = self.computePermutations(list0)
elif mode in ['random', 'r']:
self.next = self.random_next
else:
raise ValueError, self._value_error_message % mode
def __init__(self, alpha=0.5, beta=2.0):
Generator.__init__(self)
self.alpha = make_function(alpha)
self.beta = make_function(beta)
self.weibullvariateRNG = _WeibullvariateRNG()
def __init__(self):
Generator.__init__(self)
self.rng = UniformRNG()
def __init__(self, alpha = 0.5, beta = 2.0):
Generator.__init__(self)
self.alpha = make_function(alpha)
self.beta = make_function(beta)
self.weibullvariateRNG = _WeibullvariateRNG()
def __init__(self):
Generator.__init__(self)
self.rng = UniformRNG()