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learn-python/src/standard_libraries/test_math.py at master · wenyilu00007/learn-python · GitHub
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test_math.py
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test_math.py
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"""Math.
@see: https://docs.python.org/3/tutorial/stdlib.html#mathematics
Math module is useful as many math functions are already implemented and optimized.
"""
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
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