| """Helper module to calculate function execution time.""" | |
| import logging | |
| from functools import wraps | |
| from time import perf_counter | |
| from typing import Any, Awaitable, Callable, Coroutine, ParamSpec, TypeVar | |
| FORMAT = "%(asctime)s %(message)s" | |
| logging.basicConfig(level=logging.DEBUG, format=FORMAT) | |
| logger = logging.getLogger(__name__) |
| """Flatten multy-level nested iterable.""" | |
| from typing import Any, Iterable | |
| def deep_flatten(data: Iterable[Any]) -> Iterable[float]: | |
| def inner(data): | |
| if isinstance(data, (int, float)): | |
| return [data] | |
| elif not data: |
| kind: pipeline | |
| name: python_code_check | |
| type: kubernetes | |
| steps: | |
| - name: isort | |
| pull: if-not-exists | |
| image: python:3.10-alpine | |
| depends_on: [clone] | |
| commands: |
| from enum import Enum | |
| class Status(str, Enum): | |
| STOPPED = "STOPPED" | |
| RUNNING = "RUNNING" | |
| COMPLETE = "COMPLETE" | |
| status = Status.RUNNING |
| def emulated_zip(*iterables): | |
| lists = [list(iterable) for iterable in iterables] | |
| while all(lists): | |
| yield tuple(current_list.pop(0) for current_list in lists) | |
| numbers = emulated_zip(["one", "two"], [1, 2]) | |
| for i in numbers: | |
| print(i) | |
| from contextlib import contextmanager | |
| from typing import List, Any, Iterator | |
| class StringJoiner(List[str]): | |
| def __init__(self, sep: str = " ", *args: str) -> None: | |
| super().__init__(*args) | |
| self.sep = sep | |
| from collections import Counter | |
| from fractions import Fraction | |
| penny = Fraction(1, 100) | |
| nickel = Fraction(5, 100) | |
| dime = Fraction(10, 100) | |
| quarter = Fraction(25, 100) | |
| usd = [penny, nickel, dime, quarter] |
| """Cutting numbers into fixed buckets | |
| This is a solution for StackOverflow question | |
| https://datascience.stackexchange.com/questions/45118/cutting-numbers-into-fixed-buckets | |
| """ | |
| from bisect import bisect | |
| from random import sample | |
| data = sample(range(10_000), 1_000) |
| """Calculate and show caffeine level in body with time.""" | |
| from math import exp | |
| from typing import Iterable | |
| import matplotlib.pyplot as plt | |
| plt.rcParams['figure.figsize'] = [24, 12] | |
| # caffeine half life in hours | |
| HALF_LIFE_HOURS = 5 |
Enter mutliplication table for: 10
1 2 3 4 5 6 7 8 9 10
2 4 6 8 10 12 14 16 18 20
3 6 9 12 15 18 21 24 27 30
4 8 12 16 20 24 28 32 36 40
5 10 15 20 25 30 35 40 45 50
6 12 18 24 30 36 42 48 54 60
7 14 21 28 35 42 49 56 63 70