



import pytest


A__    :    List[str]        =   '''__dummy_dataset1__'''

A__    :    List[str]        =   '''
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      UpperCamelCase(    ):
		return DATASET_LOADING_SCRIPT_NAME


@pytest.fixture
def      UpperCamelCase(    ):
		return DATASET_LOADING_SCRIPT_CODE





@pytest.fixture
def      UpperCamelCase(    __UpperCamelCase				:						Dict	,__UpperCamelCase				:						List[Any]	,__UpperCamelCase				:						Union[str, Any]					):
		lowerCAmelCase_     :	Optional[Any]							   =					dataset_loading_script_name
		lowerCAmelCase_     :	str							   =					tmp_path / '''datasets''' / script_name
		script_dir.mkdir(parents=__lowerCamelCase					)
		lowerCAmelCase_     :	List[Any]							   =					script_dir / f"""{script_name}.py"""
		with open(__lowerCamelCase	,'''w'''					) as f:
				f.write(__lowerCamelCase					)
		return str(__lowerCamelCase					)







'''simple docstring'''



_lowercase          =						"""
# Transformers 설치 방법
! pip install transformers datasets
# 마지막 릴리스 대신 소스에서 설치하려면, 위 명령을 주석으로 바꾸고 아래 명령을 해제하세요.
# ! pip install git+https://github.com/huggingface/transformers.git
"""

_lowercase          =						[{"""type""": """code""", """content""": INSTALL_CONTENT}]
_lowercase          =						{
    """{processor_class}""": """FakeProcessorClass""",
    """{model_class}""": """FakeModelClass""",
    """{object_class}""": """FakeObjectClass""",
}
