


import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
 from transformers.pipelines.conversational import Conversation


SCREAMING_SNAKE_CASE			: Union[str, Any]				   =					logging.get_logger(__name__)

SCREAMING_SNAKE_CASE			: Any				   =					{"tokenizer_file": "tokenizer.json"}

SCREAMING_SNAKE_CASE			: Tuple				   =					{
    "tokenizer_file": {
        "bigscience/tokenizer": "https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json",
        "bigscience/bloom-560m": "https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json",
        "bigscience/bloom-1b1": "https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json",
        "bigscience/bloom-1b7": "https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json",
        "bigscience/bloom-3b": "https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json",
        "bigscience/bloom-7b1": "https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json",
        "bigscience/bloom": "https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json",
    },
}






class _lowerCamelCase(		_a  ):
       lowercase_					:      Optional[Any]       					=     VOCAB_FILES_NAMES
       lowercase_					:      Union[str, Any]       					=     PRETRAINED_VOCAB_FILES_MAP
       lowercase_					:      str       					=     ["""input_ids""", """attention_mask"""]
       lowercase_					:      Tuple       					=     None
       def __init__(   self, lowerCamelCase=None, lowerCamelCase=None, lowerCamelCase=None, lowerCamelCase="<unk>", lowerCamelCase="<s>", lowerCamelCase="</s>", lowerCamelCase="<pad>", lowerCamelCase=False, lowerCamelCase=False, **lowerCamelCase, )			->  Optional[Any]:




           """simple docstring"""

           super().__init__(
               lowerCamelCase, lowerCamelCase, tokenizer_file=lowerCamelCase, unk_token=lowerCamelCase, bos_token=lowerCamelCase, eos_token=lowerCamelCase, pad_token=lowerCamelCase, add_prefix_space=lowerCamelCase, clean_up_tokenization_spaces=lowerCamelCase, **lowerCamelCase, )
           _lowercase			:				Dict 						=						json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__())
           if pre_tok_state.get('add_prefix_space', lowerCamelCase) != add_prefix_space:
               _lowercase			:				Dict 						=						getattr(lowerCamelCase, pre_tok_state.pop('type'))
               _lowercase			:				Optional[int] 						=						add_prefix_space
               _lowercase			:				List[Any] 						=						pre_tok_class(**lowerCamelCase)

           _lowercase			:				Tuple 						=						add_prefix_space
       def      UpperCamelCase	(   self, *lowerCamelCase, **lowerCamelCase)			->  BatchEncoding:




           """simple docstring"""

           _lowercase			:				Dict 						=						kwargs.get('is_split_into_words', lowerCamelCase)
           if not (self.add_prefix_space or not is_split_into_words):
               raise Exception(
                   F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'''
                   ' pretokenized inputs.')

           return super()._batch_encode_plus(*lowerCamelCase, **lowerCamelCase)
       def      UpperCamelCase	(   self, *lowerCamelCase, **lowerCamelCase)			->  BatchEncoding:




           """simple docstring"""

           _lowercase			:				Dict 						=						kwargs.get('is_split_into_words', lowerCamelCase)

           if not (self.add_prefix_space or not is_split_into_words):
               raise Exception(
                   F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'''
                   ' pretokenized inputs.')

           return super()._encode_plus(*lowerCamelCase, **lowerCamelCase)
       def      UpperCamelCase	(   self, lowerCamelCase, lowerCamelCase = None)			->  Tuple[str]:




           """simple docstring"""

           _lowercase			:				Union[str, Any] 						=						self._tokenizer.model.save(lowerCamelCase, name=lowerCamelCase)
           return tuple(lowerCamelCase)




       def      UpperCamelCase	(   self, lowerCamelCase)			->  List[int]:




           """simple docstring"""

           _lowercase			:				Dict 						=						[]
           for is_user, text in conversation.iter_texts():
               input_ids.extend(self.encode(lowerCamelCase, add_special_tokens=lowerCamelCase) + [self.eos_token_id])

           if len(lowerCamelCase) > self.model_max_length:
               _lowercase			:				Optional[Any] 						=						input_ids[-self.model_max_length :]
           return input_ids






import contextlib
import csv
import json
import os
import sqlitea
import tarfile
import textwrap
import zipfile

import pyarrow as pa
import pyarrow.parquet as pq
import pytest

import datasets
import datasets.config



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( )       ->		Any:
    _lowercase			:				str 						=						10
    _lowercase			:				List[str] 						=						datasets.Features(
        {
            'tokens': datasets.Sequence(datasets.Value('string'					)					),
            'labels': datasets.Sequence(datasets.ClassLabel(names=['negative', 'positive']					)					),
            'answers': datasets.Sequence(
                {
                    'text': datasets.Value('string'					),
                    'answer_start': datasets.Value('int32'					),
                }					),
            'id': datasets.Value('int64'					),
        }					)
    _lowercase			:				Union[str, Any] 						=						datasets.Dataset.from_dict(
        {
            'tokens': [['foo'] * 5] * n,
            'labels': [[1] * 5] * n,
            'answers': [{'answer_start': [97], 'text': ['1976']}] * 10,
            'id': list(range(lowerCamelCase_					)					),
        }				,					features=lowerCamelCase_				,					)
    return dataset



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_					)       ->		int:
    _lowercase			:				int 						=						str(tmp_path_factory.mktemp('data'					) / 'file.arrow'					)
    dataset.map(cache_file_name=lowerCamelCase_					)
    return filename


# FILE_CONTENT + files


SCREAMING_SNAKE_CASE			: str				   =					"\\n    Text data.\n    Second line of data."



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		List[Any]:
    _lowercase			:				str 						=						tmp_path_factory.mktemp('data'					) / 'file.txt'
    _lowercase			:				List[str] 						=						FILE_CONTENT
    with open(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_					)
    return filename



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		Tuple:
    import bza

    _lowercase			:				Any 						=						tmp_path_factory.mktemp('data'					) / 'file.txt.bz2'
    _lowercase			:				Optional[Any] 						=						bytes(lowerCamelCase_				,					'utf-8'					)
    with bza.open(lowerCamelCase_				,					'wb'					) as f:
        f.write(lowerCamelCase_					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		List[Any]:
    import gzip

    _lowercase			:				Optional[int] 						=						str(tmp_path_factory.mktemp('data'					) / 'file.txt.gz'					)
    _lowercase			:				Optional[int] 						=						bytes(lowerCamelCase_				,					'utf-8'					)
    with gzip.open(lowerCamelCase_				,					'wb'					) as f:
        f.write(lowerCamelCase_					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		str:
    if datasets.config.LZ4_AVAILABLE:
        import lza.frame

        _lowercase			:				Any 						=						tmp_path_factory.mktemp('data'					) / 'file.txt.lz4'
        _lowercase			:				Optional[Any] 						=						bytes(lowerCamelCase_				,					'utf-8'					)
        with lza.frame.open(lowerCamelCase_				,					'wb'					) as f:
            f.write(lowerCamelCase_					)
        return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_					)       ->		str:
    if datasets.config.PY7ZR_AVAILABLE:
        import pyazr

        _lowercase			:				int 						=						tmp_path_factory.mktemp('data'					) / 'file.txt.7z'
        with pyazr.SevenZipFile(lowerCamelCase_				,					'w'					) as archive:
            archive.write(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					)					)
        return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_					)       ->		List[str]:
    import tarfile

    _lowercase			:				Optional[Any] 						=						tmp_path_factory.mktemp('data'					) / 'file.txt.tar'
    with tarfile.TarFile(lowerCamelCase_				,					'w'					) as f:
        f.add(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		str:
    import lzma

    _lowercase			:				Optional[Any] 						=						tmp_path_factory.mktemp('data'					) / 'file.txt.xz'
    _lowercase			:				int 						=						bytes(lowerCamelCase_				,					'utf-8'					)
    with lzma.open(lowerCamelCase_				,					'wb'					) as f:
        f.write(lowerCamelCase_					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_					)       ->		str:
    import zipfile

    _lowercase			:				Dict 						=						tmp_path_factory.mktemp('data'					) / 'file.txt.zip'
    with zipfile.ZipFile(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		Optional[Any]:
    if datasets.config.ZSTANDARD_AVAILABLE:
        import zstandard as zstd

        _lowercase			:				Optional[Any] 						=						tmp_path_factory.mktemp('data'					) / 'file.txt.zst'
        _lowercase			:				Dict 						=						bytes(lowerCamelCase_				,					'utf-8'					)
        with zstd.open(lowerCamelCase_				,					'wb'					) as f:
            f.write(lowerCamelCase_					)
        return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		str:
    _lowercase			:				Union[str, Any] 						=						tmp_path_factory.mktemp('data'					) / 'file.xml'
    _lowercase			:				Optional[Any] 						=						textwrap.dedent(
        '\\n    <?xml version="1.0" encoding="UTF-8" ?>\n    <tmx version="1.4">\n      <header segtype="sentence" srclang="ca" />\n      <body>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 1</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 1</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 2</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 2</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 3</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 3</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 4</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 4</seg></tuv>\n        </tu>\n        <tu>\n          <tuv xml:lang="ca"><seg>Contingut 5</seg></tuv>\n          <tuv xml:lang="en"><seg>Content 5</seg></tuv>\n        </tu>\n      </body>\n    </tmx>'					)
    with open(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_					)
    return filename


SCREAMING_SNAKE_CASE			: Dict				   =					[
    {"col_1": "0", "col_2": 0, "col_3": 0.0},
    {"col_1": "1", "col_2": 1, "col_3": 1.0},
    {"col_1": "2", "col_2": 2, "col_3": 2.0},
    {"col_1": "3", "col_2": 3, "col_3": 3.0},
]
SCREAMING_SNAKE_CASE			: Dict				   =					[
    {"col_1": "4", "col_2": 4, "col_3": 4.0},
    {"col_1": "5", "col_2": 5, "col_3": 5.0},
]
SCREAMING_SNAKE_CASE			: Optional[Any]				   =					{
    "col_1": ["0", "1", "2", "3"],
    "col_2": [0, 1, 2, 3],
    "col_3": [0.0, 1.0, 2.0, 3.0],
}

SCREAMING_SNAKE_CASE			: Tuple				   =					[
    {"col_3": 0.0, "col_1": "0", "col_2": 0},
    {"col_3": 1.0, "col_1": "1", "col_2": 1},
]

SCREAMING_SNAKE_CASE			: Any				   =					[
    {"col_1": "s0", "col_2": 0, "col_3": 0.0},
    {"col_1": "s1", "col_2": 1, "col_3": 1.0},
    {"col_1": "s2", "col_2": 2, "col_3": 2.0},
    {"col_1": "s3", "col_2": 3, "col_3": 3.0},
]



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( )       ->		List[str]:
    return DATA_DICT_OF_LISTS



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		Dict:
    _lowercase			:				Optional[int] 						=						datasets.Dataset.from_dict(lowerCamelCase_					)
    _lowercase			:				List[Any] 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset.arrow'					)
    dataset.map(cache_file_name=lowerCamelCase_					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		str:
    _lowercase			:				List[str] 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset.sqlite'					)
    with contextlib.closing(sqlitea.connect(lowerCamelCase_					)					) as con:
        _lowercase			:				Union[str, Any] 						=						con.cursor()
        cur.execute('CREATE TABLE dataset(col_1 text, col_2 int, col_3 real)'					)
        for item in DATA:
            cur.execute('INSERT INTO dataset(col_1, col_2, col_3) VALUES (?, ?, ?)'				,					tuple(item.values()					)					)
        con.commit()
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		Dict:
    _lowercase			:				List[str] 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset.csv'					)
    with open(lowerCamelCase_				,					'w'				,					newline=''					) as f:
        _lowercase			:				Tuple 						=						csv.DictWriter(lowerCamelCase_				,					fieldnames=['col_1', 'col_2', 'col_3']					)
        writer.writeheader()
        for item in DATA:
            writer.writerow(lowerCamelCase_					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		List[Any]:
    _lowercase			:				Tuple 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset2.csv'					)
    with open(lowerCamelCase_				,					'w'				,					newline=''					) as f:
        _lowercase			:				str 						=						csv.DictWriter(lowerCamelCase_				,					fieldnames=['col_1', 'col_2', 'col_3']					)
        writer.writeheader()
        for item in DATA:
            writer.writerow(lowerCamelCase_					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_					)       ->		Any:
    import bza

    _lowercase			:				int 						=						tmp_path_factory.mktemp('data'					) / 'dataset.csv.bz2'
    with open(lowerCamelCase_				,					'rb'					) as f:
        _lowercase			:				int 						=						f.read()
    # data = bytes(FILE_CONTENT, "utf-8")
    with bza.open(lowerCamelCase_				,					'wb'					) as f:
        f.write(lowerCamelCase_					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_					)       ->		Optional[int]:
    _lowercase			:				Optional[Any] 						=						tmp_path_factory.mktemp('data'					) / 'dataset.csv.zip'
    with zipfile.ZipFile(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					)					)
        f.write(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_					)       ->		Optional[Any]:
    _lowercase			:				str 						=						tmp_path_factory.mktemp('data'					) / 'dataset.csv.zip'
    with zipfile.ZipFile(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_				,					arcname=os.path.basename(csv_path.replace('.csv'				,					'.CSV'					)					)					)
        f.write(lowerCamelCase_				,					arcname=os.path.basename(csva_path.replace('.csv'				,					'.CSV'					)					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_					)       ->		Union[str, Any]:
    _lowercase			:				Union[str, Any] 						=						tmp_path_factory.mktemp('data'					) / 'dataset_with_dir.csv.zip'
    with zipfile.ZipFile(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_				,					arcname=os.path.join('main_dir'				,					os.path.basename(lowerCamelCase_					)					)					)
        f.write(lowerCamelCase_				,					arcname=os.path.join('main_dir'				,					os.path.basename(lowerCamelCase_					)					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		int:
    _lowercase			:				Optional[int] 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset.parquet'					)
    _lowercase			:				Optional[Any] 						=						pa.schema(
        {
            'col_1': pa.string(),
            'col_2': pa.intaa(),
            'col_3': pa.floataa(),
        }					)
    with open(lowerCamelCase_				,					'wb'					) as f:
        _lowercase			:				List[str] 						=						pq.ParquetWriter(lowerCamelCase_				,					schema=lowerCamelCase_					)
        _lowercase			:				Any 						=						pa.Table.from_pydict({k: [DATA[i][k] for i in range(len(lowerCamelCase_					)					)] for k in DATA[0]}				,					schema=lowerCamelCase_					)
        writer.write_table(lowerCamelCase_					)
        writer.close()
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		Optional[Any]:
    _lowercase			:				Optional[Any] 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset.json'					)
    _lowercase			:				List[Any] 						=						{'data': DATA}
    with open(lowerCamelCase_				,					'w'					) as f:
        json.dump(lowerCamelCase_				,					lowerCamelCase_					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		Any:
    _lowercase			:				Tuple 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset.json'					)
    _lowercase			:				Optional[Any] 						=						{'data': DATA_DICT_OF_LISTS}
    with open(lowerCamelCase_				,					'w'					) as f:
        json.dump(lowerCamelCase_				,					lowerCamelCase_					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		Union[str, Any]:
    _lowercase			:				Any 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset.jsonl'					)
    with open(lowerCamelCase_				,					'w'					) as f:
        for item in DATA:
            f.write(json.dumps(lowerCamelCase_					) + '\n'					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		Dict:
    _lowercase			:				Dict 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset2.jsonl'					)
    with open(lowerCamelCase_				,					'w'					) as f:
        for item in DATA:
            f.write(json.dumps(lowerCamelCase_					) + '\n'					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		List[str]:
    _lowercase			:				Optional[Any] 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset_312.jsonl'					)
    with open(lowerCamelCase_				,					'w'					) as f:
        for item in DATA_312:
            f.write(json.dumps(lowerCamelCase_					) + '\n'					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		List[Any]:
    _lowercase			:				str 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset-str.jsonl'					)
    with open(lowerCamelCase_				,					'w'					) as f:
        for item in DATA_STR:
            f.write(json.dumps(lowerCamelCase_					) + '\n'					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_					)       ->		Optional[Any]:
    import gzip

    _lowercase			:				Tuple 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset.txt.gz'					)
    with open(lowerCamelCase_				,					'rb'					) as orig_file:
        with gzip.open(lowerCamelCase_				,					'wb'					) as zipped_file:
            zipped_file.writelines(lowerCamelCase_					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_					)       ->		Dict:
    import gzip

    _lowercase			:				Optional[int] 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset.jsonl.gz'					)
    with open(lowerCamelCase_				,					'rb'					) as orig_file:
        with gzip.open(lowerCamelCase_				,					'wb'					) as zipped_file:
            zipped_file.writelines(lowerCamelCase_					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_					)       ->		List[str]:
    _lowercase			:				Any 						=						tmp_path_factory.mktemp('data'					) / 'dataset.jsonl.zip'
    with zipfile.ZipFile(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					)					)
        f.write(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_					)       ->		str:
    _lowercase			:				str 						=						tmp_path_factory.mktemp('data'					) / 'dataset_nested.jsonl.zip'
    with zipfile.ZipFile(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_				,					arcname=os.path.join('nested'				,					os.path.basename(lowerCamelCase_					)					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_					)       ->		int:
    _lowercase			:				Optional[Any] 						=						tmp_path_factory.mktemp('data'					) / 'dataset_with_dir.jsonl.zip'
    with zipfile.ZipFile(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_				,					arcname=os.path.join('main_dir'				,					os.path.basename(lowerCamelCase_					)					)					)
        f.write(lowerCamelCase_				,					arcname=os.path.join('main_dir'				,					os.path.basename(lowerCamelCase_					)					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_					)       ->		Optional[int]:
    _lowercase			:				Tuple 						=						tmp_path_factory.mktemp('data'					) / 'dataset.jsonl.tar'
    with tarfile.TarFile(lowerCamelCase_				,					'w'					) as f:
        f.add(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					)					)
        f.add(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_					)       ->		Any:
    _lowercase			:				str 						=						tmp_path_factory.mktemp('data'					) / 'dataset_nested.jsonl.tar'
    with tarfile.TarFile(lowerCamelCase_				,					'w'					) as f:
        f.add(lowerCamelCase_				,					arcname=os.path.join('nested'				,					os.path.basename(lowerCamelCase_					)					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		Any:
    _lowercase			:				Optional[int] 						=						['0', '1', '2', '3']
    _lowercase			:				str 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset.txt'					)
    with open(lowerCamelCase_				,					'w'					) as f:
        for item in data:
            f.write(item + '\n'					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		Union[str, Any]:
    _lowercase			:				str 						=						['0', '1', '2', '3']
    _lowercase			:				List[Any] 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset2.txt'					)
    with open(lowerCamelCase_				,					'w'					) as f:
        for item in data:
            f.write(item + '\n'					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		List[str]:
    _lowercase			:				List[Any] 						=						['0', '1', '2', '3']
    _lowercase			:				Optional[int] 						=						tmp_path_factory.mktemp('data'					) / 'dataset.abc'
    with open(lowerCamelCase_				,					'w'					) as f:
        for item in data:
            f.write(item + '\n'					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_					)       ->		Any:
    _lowercase			:				Optional[Any] 						=						tmp_path_factory.mktemp('data'					) / 'dataset.text.zip'
    with zipfile.ZipFile(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					)					)
        f.write(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_					)       ->		Dict:
    _lowercase			:				List[Any] 						=						tmp_path_factory.mktemp('data'					) / 'dataset_with_dir.text.zip'
    with zipfile.ZipFile(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_				,					arcname=os.path.join('main_dir'				,					os.path.basename(lowerCamelCase_					)					)					)
        f.write(lowerCamelCase_				,					arcname=os.path.join('main_dir'				,					os.path.basename(lowerCamelCase_					)					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_				,					lowerCamelCase_					)       ->		str:
    _lowercase			:				Any 						=						tmp_path_factory.mktemp('data'					) / 'dataset.ext.zip'
    with zipfile.ZipFile(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_				,					arcname=os.path.basename('unsupported.ext'					)					)
        f.write(lowerCamelCase_				,					arcname=os.path.basename('unsupported_2.ext'					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		int:
    _lowercase			:				List[str] 						=						'\n'.join(['First', 'Second\u2029with Unicode new line', 'Third']					)
    _lowercase			:				Any 						=						str(tmp_path_factory.mktemp('data'					) / 'dataset_with_unicode_new_lines.txt'					)
    with open(lowerCamelCase_				,					'w'				,					encoding='utf-8'					) as f:
        f.write(lowerCamelCase_					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( )       ->		Dict:
    return os.path.join('tests'				,					'features'				,					'data'				,					'test_image_rgb.jpg'					)



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( )       ->		int:
    return os.path.join('tests'				,					'features'				,					'data'				,					'test_audio_44100.wav'					)



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_				,					lowerCamelCase_					)       ->		Any:
    _lowercase			:				Dict 						=						tmp_path_factory.mktemp('data'					) / 'dataset.img.zip'
    with zipfile.ZipFile(lowerCamelCase_				,					'w'					) as f:
        f.write(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					)					)
        f.write(lowerCamelCase_				,					arcname=os.path.basename(lowerCamelCase_					).replace('.jpg'				,					'2.jpg'					)					)
    return path



@pytest.fixture(scope='session'					)
def 							UpperCamelCase_( lowerCamelCase_					)       ->		Optional[Any]:
    _lowercase			:				str 						=						tmp_path_factory.mktemp('data_dir'					)

    (data_dir / "subdir").mkdir()
    with open(data_dir / 'subdir' / 'train.txt'				,					'w'					) as f:
        f.write('foo\n' * 10					)
    with open(data_dir / 'subdir' / 'test.txt'				,					'w'					) as f:
        f.write('bar\n' * 10					)
    # hidden file
    with open(data_dir / 'subdir' / '.test.txt'				,					'w'					) as f:
        f.write('bar\n' * 10					)

    # hidden directory
    (data_dir / ".subdir").mkdir()
    with open(data_dir / '.subdir' / 'train.txt'				,					'w'					) as f:
        f.write('foo\n' * 10					)
    with open(data_dir / '.subdir' / 'test.txt'				,					'w'					) as f:
        f.write('bar\n' * 10					)

    return data_dir


