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56 lines (39 loc) · 1.47 KB
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"""Math.
@see: https://docs.python.org/3/tutorial/stdlib.html#mathematics
"""
import math
import random
import statistics
def test_math():
"""Math.
The math module gives access to the underlying C library functions for floating point math.
"""
assert math.cos(math.pi / 4) == 0.70710678118654757
assert math.log(1024, 2) == 10.0
def test_random():
"""Random.
The random module provides tools for making random selections.
"""
# Choose from the list randomly.
random_options = ['apple', 'pear', 'banana']
random_choice = random.choice(random_options) # i.e. 'apple'
assert random_choice in random_options
# Sampling without replacement.
random_sample = random.sample(range(100), 10) # i.e. [30, 83, 16, 4, 8, 81, 41, 50, 18, 33]
for sample in random_sample:
assert 0 <= sample <= 100
# Choose random number.
random_float = random.random() # i.e. 0.17970987693706186
assert 0 <= random_float <= 1
# Random integer chosen from range(6)
random_integer = random.randrange(6) # i.e. 4
assert 0 <= random_integer <= 6
def test_statistics():
"""Statistics.
The statistics module calculates basic statistical properties (the mean, median,
variance, etc.) of numeric data.
"""
data = [2.75, 1.75, 1.25, 0.25, 0.5, 1.25, 3.5]
assert statistics.mean(data) == 1.6071428571428572
assert statistics.median(data) == 1.25
assert statistics.variance(data) == 1.3720238095238095