def __init__(self, ndoors=3):
self.ndoors = ndoors
def prob(prize, student, host, final):
if prize == student:
return 1./(self.ndoors**2) * 1. / (self.ndoors - 1)
else:
return 1./(self.ndoors**2) * 1. / (self.ndoors - 2)
_sample_space = []
for (prize, student, host) in product(range(1,self.ndoors+1),
range(1,self.ndoors+1),
range(1,self.ndoors+1)):
if host not in [prize, student]:
_sample_space.append((prize, student, host, student))
WeightedBox.__init__(self, dict([(v, prob(*v)) for v in
_sample_space]))
def __init__(self, ndoors=3):
self.ndoors = ndoors
def prob(prize, student, host, final):
if prize == student:
return 1./(self.ndoors**2) * 1. / (self.ndoors - 1)
else:
return 1./(self.ndoors**2) * 1. / (self.ndoors - 2)
_sample_space = []
for (prize, student, host) in product(range(1,self.ndoors+1),
range(1,self.ndoors+1),
range(1,self.ndoors+1)):
if host not in [prize, student]:
_sample_space.append((prize, student, host, student))
WeightedBox.__init__(self, dict([(v, prob(*v)) for v in
_sample_space]))
def __init__(self, ndoors=3):
self.ndoors = ndoors
def prob(prize, student, host, final):
if prize == student:
return 1./(self.ndoors**2) * 1. / ((self.ndoors - 1) * (self.ndoors - 2))
else:
return 1./(self.ndoors**2) * 1. / ((self.ndoors - 2) * (self.ndoors - 2))
_sample_space = []
for (prize, student, host) in product(range(1,self.ndoors+1),
range(1,self.ndoors+1),
range(1,self.ndoors+1)):
if host not in [prize, student]:
possible_values = set(range(1, self.ndoors+1)).difference( \
[host, student])
for final in possible_values:
_sample_space.append((prize, student, host, final))
WeightedBox.__init__(self, dict([(v, prob(*v)) for v in
_sample_space]))
def __init__(self, ndoors=3):
self.ndoors = ndoors
def prob(prize, student, host, final):
if prize == student:
return 1./(self.ndoors**2) * 1. / ((self.ndoors - 1) * (self.ndoors - 2))
else:
return 1./(self.ndoors**2) * 1. / ((self.ndoors - 2) * (self.ndoors - 2))
_sample_space = []
for (prize, student, host) in product(range(1,self.ndoors+1),
range(1,self.ndoors+1),
range(1,self.ndoors+1)):
if host not in [prize, student]:
possible_values = set(range(1, self.ndoors+1)).difference( \
[host, student])
for final in possible_values:
_sample_space.append((prize, student, host, final))
WeightedBox.__init__(self, dict([(v, prob(*v)) for v in
_sample_space]))
def trial(self):
WeightedBox.trial(self)
self.car, self.student, self.host, self.final = np.array(
self.outcome) - 1
return self.outcome
def __init__(self, mass_function):
WeightedBox.__init__(self, mass_function)
def conditional(self, event_spec):
mass_fn = WeightedBox.conditional(self, event_spec).mass_function
return conditional_switch(mass_fn)
def trial(self):
WeightedBox.trial(self)
self.car, self.student, self.host, self.final = np.array(self.outcome)-1
return self.outcome
def __init__(self, mass_function):
WeightedBox.__init__(self, mass_function)
def conditional(self, event_spec):
mass_fn = WeightedBox.conditional(self, event_spec).mass_function
return conditional_switch(mass_fn)
