# 2.2. Random Generate¶

## 2.2.1. random¶

Table 2.2. random

Function

Description

random.random()

Random float: 0.0 <= x < 1.0

random.randint(min, max)

Return a random integer N such that min <= N <= max. Max is included

random.gauss(mu, sigma)

Gaussian distribution. mu is the mean, and sigma is the standard deviation

## 2.2.2. Assignments¶

"""
* Assignment: Random Generate Matrix
* Complexity: medium
* Lines of code: 1 lines
* Time: 5 min

English:
1. Use only random module
2. Set random.seed(0)
3. Define matrix: list[list[int]] with generated
16x16 random digits (0-9 inclusive)
4. Run doctests - all must succeed

Polish:
1. Używaj tylko modułu random
2. Ustaw random.seed(0)
3. Zdefiniuj matrix: list[list[int]] z wygenerowanymi
16x16 losowymi cyframi (0-9 włącznie)
4. Uruchom doctesty - wszystkie muszą się powieść

Hints:
* random.randint()
* randint(a,b) includes both end points a and b

Tests:
>>> import sys; sys.tracebacklimit = 0

>>> result  # doctest: +NORMALIZE_WHITESPACE
[[6, 6, 0, 4, 8, 7, 6, 4, 7, 5, 9, 3, 8, 2, 4, 2],
[1, 9, 4, 8, 9, 2, 4, 1, 1, 5, 7, 8, 1, 5, 6, 5],
[9, 3, 8, 7, 7, 8, 4, 0, 8, 0, 1, 6, 0, 9, 7, 5],
[3, 5, 1, 3, 9, 3, 3, 2, 8, 7, 1, 1, 5, 8, 7, 1],
[4, 8, 4, 1, 8, 5, 8, 3, 9, 8, 9, 4, 7, 1, 9, 6],
[5, 9, 3, 4, 2, 3, 2, 0, 9, 4, 7, 1, 1, 2, 2, 0],
[1, 8, 6, 8, 4, 8, 3, 3, 9, 6, 9, 4, 7, 7, 5, 1],
[5, 9, 1, 7, 9, 5, 3, 3, 0, 4, 1, 3, 5, 2, 5, 6],
[0, 1, 2, 3, 0, 9, 8, 9, 1, 0, 1, 3, 9, 9, 1, 6],
[1, 5, 1, 0, 9, 0, 3, 2, 1, 7, 3, 0, 0, 8, 6, 9],
[1, 4, 1, 3, 1, 4, 5, 6, 2, 0, 8, 7, 0, 9, 1, 6],
[3, 4, 5, 7, 9, 2, 3, 0, 2, 2, 5, 8, 4, 1, 9, 7],
[2, 0, 7, 6, 9, 8, 4, 5, 6, 4, 2, 8, 0, 7, 1, 5],
[0, 8, 4, 2, 3, 7, 5, 9, 4, 5, 9, 9, 2, 4, 6, 6],
[1, 0, 9, 3, 5, 2, 3, 3, 7, 6, 9, 6, 0, 6, 9, 6],
[0, 2, 7, 1, 4, 2, 7, 8, 7, 8, 9, 0, 0, 7, 5, 4]]
"""

from random import randint, seed

seed(0)
ROWS = range(16)
COLS = range(16)

# generated 16x16 random digits (0-9 inclusive)
# type: list[list[int]]
result = ...