





from __future__ import annotations

from collections.abc import Sequence
from typing import Literal


def 			SCREAMING_SNAKE_CASE (			_UpperCAmelCase		,      _UpperCAmelCase					)     ->	str | Literal[False]:
    lowerCamelCase__       : Dict   					=						list(_UpperCAmelCase					)
    lowerCamelCase__       : Union[str, Any]   					=						list(_UpperCAmelCase					)
    lowerCamelCase__       : List[str]   					=						0
    for i in range(len(_UpperCAmelCase					)					):
        if lista[i] != lista[i]:
            count += 1
            lowerCamelCase__       : List[str]   					=						'_'
    if count > 1:
        return False
    else:
        return "".join(_UpperCAmelCase					)


def 			SCREAMING_SNAKE_CASE (			_UpperCAmelCase					)     ->	list[str]:
    lowerCamelCase__       : Optional[int]   					=						[]
    while True:
        lowerCamelCase__       : List[Any]   					=						['$'] * len(_UpperCAmelCase					)
        lowerCamelCase__       : Optional[Any]   					=						[]
        for i in range(len(_UpperCAmelCase					)					):
            for j in range(i + 1		,      len(_UpperCAmelCase					)					):
                lowerCamelCase__       : List[str]   					=						compare_string(binary[i]		,      binary[j]					)
                if k is False:
                    lowerCamelCase__       : Dict   					=						'*'
                    lowerCamelCase__       : Dict   					=						'*'
                    temp.append('X'					)
        for i in range(len(_UpperCAmelCase					)					):
            if checka[i] == "$":
                pi.append(binary[i]					)
        if len(_UpperCAmelCase					) == 0:
            return pi
        lowerCamelCase__       : Optional[int]   					=						list(set(_UpperCAmelCase					)					)


def 			SCREAMING_SNAKE_CASE (			_UpperCAmelCase		,      _UpperCAmelCase					)     ->	list[str]:
    lowerCamelCase__       : List[Any]   					=						[]
    for minterm in minterms:
        lowerCamelCase__       : List[Any]   					=						''
        for _ in range(_UpperCAmelCase					):
            lowerCamelCase__       : Tuple   					=						str(minterm % 2					) + string
            minterm //= 2
        temp.append(_UpperCAmelCase					)
    return temp


def 			SCREAMING_SNAKE_CASE (			_UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase					)     ->	bool:
    lowerCamelCase__       : str   					=						list(_UpperCAmelCase					)
    lowerCamelCase__       : Tuple   					=						list(_UpperCAmelCase					)
    lowerCamelCase__       : Optional[int]   					=						0
    for i in range(len(_UpperCAmelCase					)					):
        if lista[i] != lista[i]:
            count_n += 1
    return count_n == count


def 			SCREAMING_SNAKE_CASE (			_UpperCAmelCase		,      _UpperCAmelCase					)     ->	list[str]:
    lowerCamelCase__       : int   					=						[]
    lowerCamelCase__       : List[str]   					=						[0] * len(_UpperCAmelCase					)
    for i in range(len(chart[0]					)					):
        lowerCamelCase__       : Optional[Any]   					=						0
        lowerCamelCase__       : Tuple   					=						-1
        for j in range(len(_UpperCAmelCase					)					):
            if chart[j][i] == 1:
                count += 1
                lowerCamelCase__       : Union[str, Any]   					=						j
        if count == 1:
            lowerCamelCase__       : Tuple   					=						1
    for i in range(len(_UpperCAmelCase					)					):
        if select[i] == 1:
            for j in range(len(chart[0]					)					):
                if chart[i][j] == 1:
                    for k in range(len(_UpperCAmelCase					)					):
                        lowerCamelCase__       : Tuple   					=						0
            temp.append(prime_implicants[i]					)
    while True:
        lowerCamelCase__       : Optional[int]   					=						0
        lowerCamelCase__       : Any   					=						-1
        lowerCamelCase__       : Optional[int]   					=						0
        for i in range(len(_UpperCAmelCase					)					):
            lowerCamelCase__       : int   					=						chart[i].count(1					)
            if count_n > max_n:
                lowerCamelCase__       : Optional[Any]   					=						count_n
                lowerCamelCase__       : List[str]   					=						i

        if max_n == 0:
            return temp

        temp.append(prime_implicants[rem]					)

        for i in range(len(chart[0]					)					):
            if chart[rem][i] == 1:
                for j in range(len(_UpperCAmelCase					)					):
                    lowerCamelCase__       : str   					=						0


def 			SCREAMING_SNAKE_CASE (			_UpperCAmelCase		,      _UpperCAmelCase					)     ->	list[list[int]]:
    lowerCamelCase__       : List[Any]   					=						[[0 for x in range(len(_UpperCAmelCase					)					)] for x in range(len(_UpperCAmelCase					)					)]
    for i in range(len(_UpperCAmelCase					)					):
        lowerCamelCase__       : int   					=						prime_implicants[i].count('_'					)
        for j in range(len(_UpperCAmelCase					)					):
            if is_for_table(prime_implicants[i]		,      binary[j]		,      _UpperCAmelCase					):
                lowerCamelCase__       : List[Any]   					=						1

    return chart


def 			SCREAMING_SNAKE_CASE (			)     ->	None:
    lowerCamelCase__       : Union[str, Any]   					=						int(input('Enter the no. of variables\n'					)					)
    lowerCamelCase__       : List[Any]   					=						[
        float(_UpperCAmelCase					)
        for x in input(
            'Enter the decimal representation of Minterms \'Spaces Separated\'\n'					).split()
    ]
    lowerCamelCase__       : str   					=						decimal_to_binary(_UpperCAmelCase		,      _UpperCAmelCase					)

    lowerCamelCase__       : Optional[int]   					=						check(_UpperCAmelCase					)
    print('Prime Implicants are:'					)
    print(_UpperCAmelCase					)
    lowerCamelCase__       : List[Any]   					=						prime_implicant_chart(_UpperCAmelCase		,      _UpperCAmelCase					)

    lowerCamelCase__       : Optional[int]   					=						selection(_UpperCAmelCase		,      _UpperCAmelCase					)
    print('Essential Prime Implicants are:'					)
    print(_UpperCAmelCase					)


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    main()












import pytest


_UpperCAmelCase							:			Optional[int]        =							"""__dummy_dataset1__"""

_UpperCAmelCase							:			Dict        =							"""
import json
import os

import datasets


REPO_URL = \"https://huggingface.co/datasets/albertvillanova/tests-raw-jsonl/resolve/main/\"
URLS = {\"train\": REPO_URL + \"wikiann-bn-train.jsonl\", \"validation\": REPO_URL + \"wikiann-bn-validation.jsonl\"}


class __DummyDataset1__(datasets.GeneratorBasedBuilder):

    def _info(self):
        features = datasets.Features(
            {
                \"tokens\": datasets.Sequence(datasets.Value(\"string\")),
                \"ner_tags\": datasets.Sequence(
                    datasets.features.ClassLabel(
                        names=[
                            \"O\",
                            \"B-PER\",
                            \"I-PER\",
                            \"B-ORG\",
                            \"I-ORG\",
                            \"B-LOC\",
                            \"I-LOC\",
                        ]
                    )
                ),
                \"langs\": datasets.Sequence(datasets.Value(\"string\")),
                \"spans\": datasets.Sequence(datasets.Value(\"string\")),
            }
        )
        return datasets.DatasetInfo(features=features)

    def _split_generators(self, dl_manager):
        dl_path = dl_manager.download(URLS)
        return [
            datasets.SplitGenerator(datasets.Split.TRAIN, gen_kwargs={\"filepath\": dl_path[\"train\"]}),
            datasets.SplitGenerator(datasets.Split.VALIDATION, gen_kwargs={\"filepath\": dl_path[\"validation\"]}),
        ]

    def _generate_examples(self, filepath):
        with open(filepath, \"r\", encoding=\"utf-8\") as f:
            for i, line in enumerate(f):
                yield i, json.loads(line)
"""


@pytest.fixture
def 			SCREAMING_SNAKE_CASE (			)     ->	Dict:
    return DATASET_LOADING_SCRIPT_NAME


@pytest.fixture
def 			SCREAMING_SNAKE_CASE (			)     ->	List[Any]:
    return DATASET_LOADING_SCRIPT_CODE


@pytest.fixture
def 			SCREAMING_SNAKE_CASE (			_UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase					)     ->	List[Any]:
    lowerCamelCase__       : int   					=						dataset_loading_script_name
    lowerCamelCase__       : Any   					=						tmp_path / 'datasets' / script_name
    script_dir.mkdir(parents=_UpperCAmelCase					)
    lowerCamelCase__       : str   					=						script_dir / F"""{script_name}.py"""
    with open(_UpperCAmelCase		,      'w'					) as f:
        f.write(_UpperCAmelCase					)
    return str(_UpperCAmelCase					)





