Влад Григорьев

curl -X GET "https://api.coingecko.com/api/v3/coins/list" -H "accept: application/json" | json_pp  >> cash_list

cat cash_list | grep -E  "id.+bitcoin.+cash"

      "id" : "10x-long-bitcoin-cash-token",
      "id" : "10x-short-bitcoin-cash-token",
      "id" : "1x-short-bitcoin-cash-token",
      "id" : "3x-long-bitcoin-cash-token",
      "id" : "3x-short-bitcoin-cash-token",
      "id" : "bitcoin-cash",
      "id" : "bitcoin-cash-sv",
      "id" : "bitcoin-free-cash",
      "id" : "ebitcoin-cash",

import re
from dataclasses import dataclass


@dataclass
class Time:
    minute: int
    second: int
    ms: int

    @classmethod
    def init(cls, data):
        return cls(**{k: int(v) for k, v in data.items()})

    def to_seconds(self):
        return self.minute * 60 + self.second


strings = ["1m57s", "17s520ms", "1m", "10s"]
time_parse = re.compile(r"((?P<minute>\d+)(m(?!s)))?((?P<second>\d+)(s))?((?P<ms>\d+)(ms))?")

d = [Time.init(time_parse.match(v).groupdict(default='0')) for v in strings]

print(d)
print([v.to_seconds() for v in d])

[Time(minute=1, second=57, ms=0), Time(minute=0, second=17, ms=520), Time(minute=1, second=0, ms=0), Time(minute=0, second=10, ms=0)]
[117, 17, 60, 10]

# Ваш файл
file = """
Петров;85;92;78
Сидоров;100;88;94
Иванов;58;72;85
""".strip().split('\n')
# преобразуем в данные
data = {v[0]: list(map(float, v[1:])) for v in (s.split(';') for s in file)}
print(data)
# разворачиваем ваш список и считаем
avg = {i: f'sum({l})/{len(l)} = {sum(l) / len(l)}' for i, l in enumerate(zip(*data.values()))}
print(avg)

alph = {
    "q": "й", "w": "ц", "e": "у", "r": "к", "t": "е", "y": "н", "u": "г", "i": "ш", "o": "щ", "p": "з", "a": "ф",
    "s": "ы", "d": "в", "f": "а", "g": "п", "h": "р", "j": "о", "k": "л", "l": "д", "z": "я", "x": "ч", "c": "с",
    "v": "м", "b": "и", "n": "т", "m": "ь", " ": " ", ";": "ж", "'": "э", "?": ",", "/": ".", "&": "?", "`": "ё",
    "[": "х", "]": "ъ", ",": "б", ".": "ю"
}
en_char = ''.join(alph)
ru_char = ''.join(alph.values())

trans = ''.maketrans(en_char, ru_char)

print('ghbdtn'.translate(trans))

ddd
[(36, 'abc', 5158), (35, 'aaa', 4023), (44, 'aaa', 3756), (171, 'alc', 3262), (179, 'soc', 701), (42, 'abs', 3879), (43, 'abs', 531)]
ddd.sort(key=lambda x: x[-1])
ddd
[(43, 'abs', 531), (179, 'soc', 701), (171, 'alc', 3262), (44, 'aaa', 3756), (42, 'abs', 3879), (35, 'aaa', 4023), (36, 'abc', 5158)]
t = {v[-1]: v for v in ddd}
t
{531: (43, 'abs', 531), 701: (179, 'soc', 701), 3262: (171, 'alc', 3262), 3756: (44, 'aaa', 3756), 3879: (42, 'abs', 3879), 4023: (35, 'aaa', 4023), 5158: (36, 'abc', 5158)}

import json


class Test:
    def method1(self):
        pass

    def method2(self):
        pass


# Через оборачивания
class CounterUseMethod:
    count_method = {}

    @classmethod
    def counter(cls, method):
        def wrapper(self, *args, **kwargs):
            name = f'{self.__class__.__name__}: {method.__name__}'

            if name not in cls.count_method:
                cls.count_method[name] = 0
            cls.count_method[name] += 1
            return method(self, *args, **kwargs)

        return wrapper


Test.method1 = CounterUseMethod.counter(Test.method1)
Test.method2 = CounterUseMethod.counter(Test.method2)


# Через наследование
class Counter(Test):
    count_method = {}

    def method1(self):
        name = 'method1'

        if name not in self.count_method:
            self.count_method[name] = 0
        self.count_method[name] += 1
        return super().method1()

    def method2(self):
        name = 'method2'

        if name not in self.count_method:
            self.count_method[name] = 0
        self.count_method[name] += 1
        return super().method2()


test = Test()
test2 = Counter()

for _ in range(10):
    test.method1()
    test2.method1()

for _ in range(5):
    test.method2()
    test2.method2()

print(json.dumps(CounterUseMethod.count_method, indent=4))
print(json.dumps(test2.count_method, indent=4))

def pytest_collection_modifyitems(items):
    mark = pytest.mark.skip('Test is not present in test run.')
    # Тут любая магия которая придет к вам в голову.
    for item in items:
        if item.config.getoption('url2') is None:
            item.add_marker(mark)

# UPD я бы посмотрел, в сторону того что бы не пложить фикстуру request_get_service, а прокидывать ей url, 
# запрашивая её в нужных местах,  что-то типо такого.
#########################
@pytest.fixture()
def request_get_service(requests, url):
    return requests.get(url)


#########################
@pytest.fixture()
def use_url2(request_get_service, requests):
    url = requests.config.getoption('url2')
    return request_get_service(requests, url)


@pytest.fixture()
def use_url3(request_get_service, requests):
    url = requests.config.getoption('url2')
    return request_get_service(requests, url)

from pprint import pprint

TRUE_COUNT = 2


def yes(obj: dict, values: dict):
    obj_values = {v for v in obj.values() if isinstance(v, (str, int, float, tuple, bool))}
    return len(obj_values.intersection(values.values())) >= TRUE_COUNT


def find(key, keys, obj, accept_values):
    find_obj = None
    if isinstance(obj, dict):
        if yes(obj, accept_values):
            find_obj = obj
        else:
            for key, value in obj.items():
                find_obj = find(key, keys, value, accept_values)
                if find_obj:
                    break

    elif isinstance(obj, list):
        for key, value in enumerate(obj):
            find_obj = find(key, keys, value, accept_values)
            if find_obj:
                break

    if find_obj:
        keys.append(key)
        pprint(list(reversed(keys)))
        return find_obj


for accept in my.values():
    pprint(find('', [], rr, accept))

obj = [
    {'_id': 'wZQlBGoBENgcYA5dUvr_',
     '_index': 'fh_images',
     '_score': 0.3617011156311892,
     '_source': {'img_id': '298156',
                 'img_url': 'https://img.com/c9318/u298156/-6/y_84164775.jpg'},
     '_type': 'fh_image'},
    {'_id': 'wpQlBGoBENgcYA5dV_pJ',
     '_index': 'fh_images',
     '_score': 0.44313779433299844,
     '_source': {'img_id': '298156',
                 'img_url': 'https://img.com/c11125/u298156/125130624/y_1d015950.jpg'},
     '_type': 'fh_image'},
    {'_id': 'x5QlBGoBENgcYA5da_pJ',
     '_index': 'fh_images',
     '_score': 0.44582819825057535,
     '_source': {'img_id': '298156',
                 'img_url': 'https://img.com/c4475/u298156/-6/y_32e0b727.jpg'},
     '_type': 'fh_image'},
    {'_id': 'w5QlBGoBENgcYA5dWvrP',
     '_index': 'fh_images',
     '_score': 0.45485040641214125,
     '_source': {'img_id': '298156',
                 'img_url': 'https://img.com/c11125/u298156/125130624/y_80599d36.jpg'},
     '_type': 'fh_image'},
    {'_id': 'xJQlBGoBENgcYA5dXvrv',
     '_index': 'fh_images',
     '_score': 0.4625495354012009,
     '_source': {'img_id': '298156',
                 'img_url': 'https://img.com/c9318/u298156/125130624/y_ab5d368d.jpg'},
     '_type': 'fh_image'},
    {'_id': 'xpQlBGoBENgcYA5dZ_pU',
     '_index': 'fh_images',
     '_score': 0.4636520489656735,
     '_source': {'img_id': '298156',
                 'img_url': 'https://img.com/c11187/u298156/-6/y_8e5cdd46.jpg'},
     '_type': 'fh_image'},
    {'_id': 'xZQlBGoBENgcYA5dY_oi',
     '_index': 'fh_images',
     '_score': 0.5156954172925243,
     '_source': {'img_id': '298156',
                 'img_url': 'https://img.com/c4422/u298156/-6/y_8458ec16.jpg'},
     '_type': 'fh_image'},
    {'_id': 'xJQKBGoBENgcYA5dKvQ5',
     '_index': 'fh_images',
     '_score': 0.5572724509457869,
     '_source': {'img_id': '299217',
                 'img_url': 'https://img.com/c10739/u299217/-6/y_19eb9a0c.jpg'},
     '_type': 'fh_image'},
    {'_id': 's5QgBGoBENgcYA5dtPla',
     '_index': 'fh_images',
     '_score': 0.5624892892097831,
     '_source': {'img_id': '298711',
                 'img_url': 'https://img.com/c308425/v308425711/3c/UJdRfCsT3fs.jpg'},
     '_type': 'fh_image'},
    {'_id': 'qpQpBGoBENgcYA5dyvui',
     '_index': 'fh_images',
     '_score': 0.5646689160902589,
     '_source': {'img_id': '298039',
                 'img_url': 'https://img.com/c5786/u298039/-6/y_e3bc7d5c.jpg'},
     '_type': 'fh_image'},
]

import json
from itertools import groupby

result = {
    k: [(sub_obj['_score'], sub_obj['_source']['img_url']) for sub_obj in values]
    for k, values in groupby(obj, key=lambda x: x['_source']['img_id'])
}
print(json.dumps(result, indent=4))

import random
from collections import Counter

M, N = 5, 5
matrix = [[random.randrange(0, 10) for _ in range(M)] for _ in range(N)]

# Посчитали количество повторов
result = {
    i: sum(v for v in Counter(sub_list).values() if v > 1)
    for i, sub_list in enumerate(matrix)
}
print(result)

# А дальше что нужно то и выводите.
print(sorted(result, key=lambda key: result[key], reverse=True))
print(max(result, key=lambda key: result[key]))