def distributions_demo():
print_menu()
command = read_command()
while command != 0:
distribution = DISTRIBUTIONS_DESCRIPTION[command - 1]
result = list(distribution.generate(RANDOM_VECTOR_LENGTH, DEFAULT_LCG_PARAMS))
print_result('mean', stat.mean(result))
print_result('variance', stat.variance(result))
print_result('standart deviation', stat.stdev(result))
draw_histogram(result)
command = read_command()
def lcg_demo():
params = read_lcg_parameters()
result = list(lcg.random_vector(RANDOM_VECTOR_LENGTH, params))
print_result('mean', stat.mean(result), reference_value=1/2, reference_value_representation='1/2')
print_result('variance', stat.variance(result), reference_value=1/12, reference_value_representation='1/12')
print_result('standart deviation', stat.stdev(result))
print_result('2K/N', lcg.uniform_ratio(result), reference_value=pi/4, reference_value_representation='pi/4')
period = lcg.period(lambda length: lcg.random_vector(length, params))
print_result('period', period)
if period:
print_result('aperiodic interval', lcg.aperiodic_interval(lambda length: lcg.random_vector(length, params), period))
draw_histogram(result)
def draw_histogram(self, image):
"""Draw a histogram representing <image> in the dialog."""
pixbuf = image.get_pixbuf()
if pixbuf is not None:
self._hist_image.set_from_pixbuf(histogram.draw_histogram(pixbuf,
text=False))
def draw_histogram(self, pixbuf):
"""Draw a histogram representing <pixbuf> in the dialog."""
histogram_pixbuf = histogram.draw_histogram(pixbuf, text=False)
self._hist_image.set_from_pixbuf(histogram_pixbuf)
def draw_histogram(self, pixbuf):
"""Draw a histogram representing <pixbuf> in the dialog."""
pixbuf = image_tools.static_image(pixbuf)
histogram_pixbuf = histogram.draw_histogram(pixbuf, text=False)
self._hist_image.set_from_pixbuf(histogram_pixbuf)
