
'''simple docstring'''
import pytest


lowercase__											='__dummy_dataset1__'

lowercase__											='\nimport json\nimport os\n\nimport datasets\n\n\nREPO_URL = "https://huggingface.co/datasets/albertvillanova/tests-raw-jsonl/resolve/main/"\nURLS = {"train": REPO_URL + "wikiann-bn-train.jsonl", "validation": REPO_URL + "wikiann-bn-validation.jsonl"}\n\n\nclass __DummyDataset1__(datasets.GeneratorBasedBuilder):\n\n    def _info(self):\n        features = datasets.Features(\n            {\n                "tokens": datasets.Sequence(datasets.Value("string")),\n                "ner_tags": datasets.Sequence(\n                    datasets.features.ClassLabel(\n                        names=[\n                            "O",\n                            "B-PER",\n                            "I-PER",\n                            "B-ORG",\n                            "I-ORG",\n                            "B-LOC",\n                            "I-LOC",\n                        ]\n                    )\n                ),\n                "langs": datasets.Sequence(datasets.Value("string")),\n                "spans": datasets.Sequence(datasets.Value("string")),\n            }\n        )\n        return datasets.DatasetInfo(features=features)\n\n    def _split_generators(self, dl_manager):\n        dl_path = dl_manager.download(URLS)\n        return [\n            datasets.SplitGenerator(datasets.Split.TRAIN, gen_kwargs={"filepath": dl_path["train"]}),\n            datasets.SplitGenerator(datasets.Split.VALIDATION, gen_kwargs={"filepath": dl_path["validation"]}),\n        ]\n\n    def _generate_examples(self, filepath):\n        with open(filepath, "r", encoding="utf-8") as f:\n            for i, line in enumerate(f):\n                yield i, json.loads(line)\n'






@pytest.fixture
def      UpperCamelCase_				(      ):
	return DATASET_LOADING_SCRIPT_NAME






@pytest.fixture
def      UpperCamelCase_				(      ):
	return DATASET_LOADING_SCRIPT_CODE






@pytest.fixture
def      UpperCamelCase_				(      A__  ,      A__  ,      A__						):
	a_      				=						dataset_loading_script_name
	a_      				=						tmp_path / """datasets""" / script_name
	script_dir.mkdir(parents=A__						)
	a_      				=						script_dir / F'''{script_name}.py'''
	with open(A__  ,      """w"""						) as f:
		f.write(A__						)
	return str(A__						)


'''simple docstring'''
from __future__ import annotations






def      UpperCamelCase_				(      A__						):
	a_      				=						[True] * limit
	a_      				=						False
	a_      				=						False
	a_      				=						True

	for i in range(3  ,      int(limit**0.5 + 1						)  ,      2						):
		a_      				=						i * 2
		while index < limit:
			a_      				=						False
			a_      				=						index + i

	a_      				=						[2]

	for i in range(3  ,      A__  ,      2						):
		if is_prime[i]:
			primes.append(A__						)

	return primes






def      UpperCamelCase_				(      A__ = 1_00_00_00						):
	a_      				=						prime_sieve(A__						)
	a_      				=						0
	a_      				=						0

	for i in range(len(A__						)						):
		for j in range(i + length  ,      len(A__						)						):
			a_      				=						sum(primes[i:j]						)
			if sol >= ceiling:
				break

			if sol in primes:
				a_      				=						j - i
				a_      				=						sol

	return largest


if __name__ == "__main__":
		print(F"""{solution() = }""")
