



import pytest


UpperCAmelCase_		 =					"""__dummy_dataset1__"""

UpperCAmelCase_		 =					"""
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_							(	)  ->     Union[str, Any]:
   return DATASET_LOADING_SCRIPT_NAME

@pytest.fixture
def 	SCREAMING_SNAKE_CASE_							(	)  ->     Optional[Any]:
   return DATASET_LOADING_SCRIPT_CODE


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








from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase_		 =					logging.get_logger(__name__)

UpperCAmelCase_		 =					{"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/config.json"""}


class 	lowerCamelCase__	(       _A):



 """simple docstring"""

 a__					: int =  "openai-gpt"
 a__					: Dict =  {
     "max_position_embeddings": "n_positions",
     "hidden_size": "n_embd",
     "num_attention_heads": "n_head",
     "num_hidden_layers": "n_layer",
 }

 def __init__(    self					:					Union[str, Any]			,						__lowerCAmelCase					:					int=4_04_78			,						__lowerCAmelCase					:					Tuple=5_12			,						__lowerCAmelCase					:					str=7_68			,						__lowerCAmelCase					:					List[Any]=12			,						__lowerCAmelCase					:					Any=12			,						__lowerCAmelCase					:					Dict="gelu"			,						__lowerCAmelCase					:					Union[str, Any]=0.1			,						__lowerCAmelCase					:					Optional[int]=0.1			,						__lowerCAmelCase					:					Any=0.1			,						__lowerCAmelCase					:					List[str]=1E-5			,						__lowerCAmelCase					:					Optional[int]=0.02			,						__lowerCAmelCase					:					Optional[Any]="cls_index"			,						__lowerCAmelCase					:					str=True			,						__lowerCAmelCase					:					int=None			,						__lowerCAmelCase					:					Optional[int]=True			,						__lowerCAmelCase					:					Optional[Any]=0.1			,						**__lowerCAmelCase					:					Tuple			,						)   ->	Optional[Any]:
    _A      =       vocab_size
    _A      =       n_positions
    _A      =       n_embd
    _A      =       n_layer
    _A      =       n_head
    _A      =       afn
    _A      =       resid_pdrop
    _A      =       embd_pdrop
    _A      =       attn_pdrop
    _A      =       layer_norm_epsilon
    _A      =       initializer_range
    _A      =       summary_type
    _A      =       summary_use_proj
    _A      =       summary_activation
    _A      =       summary_first_dropout
    _A      =       summary_proj_to_labels
    super().__init__(**__lowerCAmelCase      )



