
"""simple docstring"""



# using dfs for finding eulerian path traversal






def 	__snake_case  (    SCREAMING_SNAKE_CASE:					Tuple     ,  SCREAMING_SNAKE_CASE:					str     ,  SCREAMING_SNAKE_CASE:					Any     ,  SCREAMING_SNAKE_CASE:					Optional[Any]=None						):






							"""simple docstring"""



							_lowerCAmelCase  	=			(path or []) + [u]
							for v in graph[u]:
														if visited_edge[u][v] is False:
																					_lowerCAmelCase	,		_lowerCAmelCase  	=			True, True
																					_lowerCAmelCase  	=			dfs(SCREAMING_SNAKE_CASE     ,  SCREAMING_SNAKE_CASE     ,  SCREAMING_SNAKE_CASE     ,  SCREAMING_SNAKE_CASE						)
							return path






def 	__snake_case  (    SCREAMING_SNAKE_CASE:					Tuple     ,  SCREAMING_SNAKE_CASE:					Optional[int]						):






							"""simple docstring"""



							_lowerCAmelCase  	=			0
							_lowerCAmelCase  	=			-1
							for i in range(SCREAMING_SNAKE_CASE						):
														if i not in graph.keys():
																					continue
														if len(graph[i]						) % 2 == 1:
																					odd_degree_nodes += 1
																					_lowerCAmelCase  	=			i
							if odd_degree_nodes == 0:
														return 1, odd_node
							if odd_degree_nodes == 2:
														return 2, odd_node
							return 3, odd_node






def 	__snake_case  (    SCREAMING_SNAKE_CASE:					Optional[int]     ,  SCREAMING_SNAKE_CASE:					List[str]						):






							"""simple docstring"""



							_lowerCAmelCase  	=			[[False for _ in range(max_node + 1						)] for _ in range(max_node + 1						)]
							_lowerCAmelCase	,		_lowerCAmelCase  	=			check_circuit_or_path(SCREAMING_SNAKE_CASE     ,  SCREAMING_SNAKE_CASE						)
							if check == 3:
														print('graph is not Eulerian'						)
														print('no path'						)
														return
							_lowerCAmelCase  	=			1
							if check == 2:
														_lowerCAmelCase  	=			odd_node
														print('graph has a Euler path'						)
							if check == 1:
														print('graph has a Euler cycle'						)
							_lowerCAmelCase  	=			dfs(SCREAMING_SNAKE_CASE     ,  SCREAMING_SNAKE_CASE     ,  SCREAMING_SNAKE_CASE						)
							print(SCREAMING_SNAKE_CASE						)






def 	__snake_case  (    ):






							"""simple docstring"""



							_lowerCAmelCase  	=			{1: [2, 3, 4], 2: [1, 3], 3: [1, 2], 4: [1, 5], 5: [4]}
							_lowerCAmelCase  	=			{1: [2, 3, 4, 5], 2: [1, 3], 3: [1, 2], 4: [1, 5], 5: [1, 4]}
							_lowerCAmelCase  	=			{1: [2, 3, 4], 2: [1, 3, 4], 3: [1, 2], 4: [1, 2, 5], 5: [4]}
							_lowerCAmelCase  	=			{1: [2, 3], 2: [1, 3], 3: [1, 2]}
							_lowerCAmelCase  	=			{
							    1: [],
							    2: []
							    # all degree is zero
							}
							_lowerCAmelCase  	=			10
							check_euler(SCREAMING_SNAKE_CASE     ,  SCREAMING_SNAKE_CASE						)
							check_euler(SCREAMING_SNAKE_CASE     ,  SCREAMING_SNAKE_CASE						)
							check_euler(SCREAMING_SNAKE_CASE     ,  SCREAMING_SNAKE_CASE						)
							check_euler(SCREAMING_SNAKE_CASE     ,  SCREAMING_SNAKE_CASE						)
							check_euler(SCREAMING_SNAKE_CASE     ,  SCREAMING_SNAKE_CASE						)


if __name__ == "__main__":
	main()








"""simple docstring"""



import pytest


_snake_case          =						'''__dummy_dataset1__'''

_snake_case          =						'''
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 	__snake_case  (    ):






							"""simple docstring"""



							return DATASET_LOADING_SCRIPT_NAME






@pytest.fixture
def 	__snake_case  (    ):






							"""simple docstring"""



							return DATASET_LOADING_SCRIPT_CODE






@pytest.fixture
def 	__snake_case  (    SCREAMING_SNAKE_CASE:					List[str]     ,  SCREAMING_SNAKE_CASE:					Optional[int]     ,  SCREAMING_SNAKE_CASE:					List[str]						):






							"""simple docstring"""



							_lowerCAmelCase  	=			dataset_loading_script_name
							_lowerCAmelCase  	=			tmp_path / 'datasets' / script_name
							script_dir.mkdir(parents=SCREAMING_SNAKE_CASE						)
							_lowerCAmelCase  	=			script_dir / f"""{script_name}.py"""
							with open(SCREAMING_SNAKE_CASE     ,  'w'						) as f:
														f.write(SCREAMING_SNAKE_CASE						)
							return str(SCREAMING_SNAKE_CASE						)






