def run_triangle_distribution(distribution_type):
lemer_generator1 = LemerGenerator(209715120, 7, 3)
lemer_generator2 = LemerGenerator(209715120, 3, 7)
a = float(input('a: '))
b = float(input('b: '))
generator = TriangleDistributionGenerator(a, b, distribution_type,
lemer_generator1,
lemer_generator2)
count = int(input('Count: '))
vect = [generator.__next__() for i in range(count)]
print_distribution_params(vect)
make_histogram(vect)
def __init__(self, p=0.75, p1=0.8, p2=0.5, iteration_count=100000):
self.current_tick = 0
self.handled_tasks = []
self.states = []
self.iteration_count = iteration_count
self.busy_count = 0
self.source = Source(p, LemerGenerator(209715120, 3, 7))
self.queue = TaskQueue(2)
self.handlers = [
Handler(p1, LemerGenerator(209715120, 3, 7)),
Handler(p2, LemerGenerator(209715120, 3, 7))
]
def __init__(self, p1=0.4, p2=0.5, iteration_count=100000):
self.iteration_count = iteration_count
self.task_in_system_count = 0
self.current_tick = 0
self.handled_count = 0
self.refused_count = 0
self.states = []
self.p1 = p1
self.source = Source()
self.queue = TaskQueue(2)
self.handlers = [
Handler(p1, LemerGenerator(209715120, 3, 7)),
Handler(p2, LemerGenerator(209715120, 3, 7))
]
def run_simpson_distribution():
a = float(input('a: '))
b = float(input('b: '))
lemer_generator1 = LemerGenerator(209715120, 7, 3)
lemer_generator2 = LemerGenerator(209715120, 3, 7)
uniform_generator1 = UniformDistributionGenerator(a / 2, b / 2,
lemer_generator1)
uniform_generator2 = UniformDistributionGenerator(a / 2, b / 2,
lemer_generator2)
generator = SimpsonDistributionGenerator(uniform_generator1,
uniform_generator2)
count = int(input('Count: '))
vect = [generator.__next__() for i in range(count)]
print_distribution_params(vect)
make_histogram(vect)
def run_exponential_distribution():
lemer_generator = LemerGenerator(209715120, 7, 3)
lyambda = float(input('lambda: '))
generator = ExponentialDistributionGenerator(lyambda, lemer_generator)
count = int(input('Count: '))
vect = [generator.__next__() for i in range(count)]
print_distribution_params(vect)
make_histogram(vect)
def run_gaussian_distribution():
lemer_generator = LemerGenerator(209715120, 7, 3)
m = float(input('m: '))
sigma = float(input('sigma: '))
generator = GausianDistributionGenerator(m, sigma, lemer_generator)
count = int(input('Count: '))
vect = [generator.__next__() for i in range(count)]
print_distribution_params(vect)
make_histogram(vect)
def run_uniform_distribution():
lemer_generator = LemerGenerator(209715120, 7, 3)
a = float(input('a: '))
b = float(input('b: '))
generator = UniformDistributionGenerator(a, b, lemer_generator)
count = int(input('Count: '))
vect = [generator.__next__() for i in range(count)]
print_distribution_params(vect)
make_histogram(vect)