def compare_maximum_in_interval_versions():
range_end = 2**40
samples_size = uniform(1000,2000)
print "range size: %d" % range_end
print "sample size: %d" % samples_size
data_center = np.random.uniform(range_end/3, range_end/3*2)
data = xp.get_random_data(samples_size, pivot=data_center)
data = sorted(filter(lambda x: 0 <= x <= range_end, data))
maximum_quality1 = ql.min_max_maximum_quality(data, 0, range_end)
maximum_quality2 = ql.__old_min_max_maximum_quality__(data, (0, range_end))
print maximum_quality1 == maximum_quality2
def compare_maximum_in_interval_versions():
range_end = 2**40
samples_size = uniform(1000, 2000)
print "range size: %d" % range_end
print "sample size: %d" % samples_size
data_center = np.random.uniform(range_end / 3, range_end / 3 * 2)
data = xp.get_random_data(samples_size, pivot=data_center)
data = sorted(filter(lambda x: 0 <= x <= range_end, data))
maximum_quality1 = ql.min_max_maximum_quality(data, 0, range_end)
maximum_quality2 = ql.__old_min_max_maximum_quality__(data, (0, range_end))
print maximum_quality1 == maximum_quality2
def compare_interval_creation():
range_end = 2**40
samples_size = uniform(1000,2000)
print "range size: %d" % range_end
print "sample size: %d" % samples_size
data_center = np.random.uniform(range_end/3, range_end/3*2)
data = xp.get_random_data(samples_size, pivot=data_center)
data = sorted(filter(lambda x: 0 <= x <= range_end, data))
interval_length = 1
range_start = 0
old_list = xp.__old_build_intervals_set__(data, interval_length, range_start, range_end)
new_list = xp.__build_intervals_set__(data, interval_length, range_start, range_end)
assert len(old_list), len(new_list)
print all(i[0] == j for i, j in zip(old_list, new_list))
def compare_interval_creation():
range_end = 2**40
samples_size = uniform(1000, 2000)
print "range size: %d" % range_end
print "sample size: %d" % samples_size
data_center = np.random.uniform(range_end / 3, range_end / 3 * 2)
data = xp.get_random_data(samples_size, pivot=data_center)
data = sorted(filter(lambda x: 0 <= x <= range_end, data))
interval_length = 1
range_start = 0
old_list = xp.__old_build_intervals_set__(data, interval_length,
range_start, range_end)
new_list = xp.__build_intervals_set__(data, interval_length, range_start,
range_end)
assert len(old_list), len(new_list)
print all(i[0] == j for i, j in zip(old_list, new_list))
