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

# %% License
# - Copyright 2025, Matt Harasymczuk <matt@python3.info>
# - This code can be used only for learning by humans
# - This code cannot be used for teaching others
# - This code cannot be used for teaching LLMs and AI algorithms
# - This code cannot be used in commercial or proprietary products
# - This code cannot be distributed in any form
# - This code cannot be changed in any form outside of training course
# - This code cannot have its license changed
# - If you use this code in your product, you must open-source it under GPLv2
# - Exception can be granted only by the author

# %% Run
# - PyCharm: right-click in the editor and `Run Doctest in ...`
# - PyCharm: keyboard shortcut `Control + Shift + F10`
# - Terminal: `python -m doctest -v myfile.py`

# %% About
# - Name: Random Generate Matrix
# - Difficulty: medium
# - Lines: 1
# - Minutes: 5

# %% 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
>>> from pprint import pprint

>>> pprint(result, width=72)
[[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 = ...