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"""!
@brief Test templates for sampling module.
@authors Andrei Novikov (pyclustering@yandex.ru)
@date 2014-2020
@copyright BSD-3-Clause
"""
import collections
from scipy import stats
from pyclustering.tests.assertion import assertion
class sampling_test_template:
@staticmethod
def random_sampling(data, n, algorithm, repeat, ccore=True):
for _ in range(repeat):
sample = algorithm(data, n)
unique_values = set(sample)
assertion.eq(n, len(sample))
assertion.eq(len(unique_values), len(sample))
@staticmethod
def uniform_distribution(data, n, algorithm, repeat, supremum_cdf=0.06, ccore=True):
# Supremum CDF < 0.06 is almost about uniform distribution (for R algorithm).
# Supremum CDF < 0.4 is for X algorithm
min_value = min(data)
max_value = max(data)
scale = max_value - min_value
stream = collections.deque()
for _ in range(repeat):
stream += algorithm(data, n)
D, pvalue = stats.kstest(stream, stats.uniform(loc=min_value, scale=scale).cdf)
assertion.gt(supremum_cdf, D)
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