
import collections
import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


UpperCAmelCase    					=   logging.get_logger(__name__)

UpperCAmelCase    					=   "▁"

UpperCAmelCase    					=   {"vocab_file": "prophetnet.tokenizer"}

UpperCAmelCase    					=   {
    "vocab_file": {
        "microsoft/xprophetnet-large-wiki100-cased": (
            "https://huggingface.co/microsoft/xprophetnet-large-wiki100-cased/resolve/main/prophetnet.tokenizer"
        ),
    }
}

UpperCAmelCase    					=   {
    "microsoft/xprophetnet-large-wiki100-cased": {"do_lower_case": False},
}

UpperCAmelCase    					=   {
    "microsoft/xprophetnet-large-wiki100-cased": 512,
}

def      A (       A_							:					str       ):
						snake_case       :     List[str] =    collections.OrderedDict()
						with open(A_    ,							'''r'''    ,							encoding='''utf-8'''       ) as reader:
												snake_case       :     Optional[Any] =    reader.readlines()
						for index, token in enumerate(A_       ):
												snake_case       :     str =    token.rstrip('''\n'''       )
												snake_case       :     List[Any] =    index
						return vocab





class 						a   (				__magic_name__    ):
				_snake_case		    = VOCAB_FILES_NAMES
				_snake_case		    = PRETRAINED_VOCAB_FILES_MAP
				_snake_case		    = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				_snake_case		    = ['''input_ids''', '''attention_mask''']




				def __init__(							self	:				int,    SCREAMING_SNAKE_CASE_	:				Optional[int],    SCREAMING_SNAKE_CASE_	:				Tuple="[SEP]",    SCREAMING_SNAKE_CASE_	:				Tuple="[SEP]",    SCREAMING_SNAKE_CASE_	:				Tuple="[SEP]",    SCREAMING_SNAKE_CASE_	:				Any="[UNK]",    SCREAMING_SNAKE_CASE_	:				Dict="[PAD]",    SCREAMING_SNAKE_CASE_	:				str="[CLS]",    SCREAMING_SNAKE_CASE_	:				List[str]="[MASK]",    SCREAMING_SNAKE_CASE_	:				Optional[Dict[str, Any]] = None,    **SCREAMING_SNAKE_CASE_	:				Optional[Any],    ):
										snake_case       :     List[Any] =    {} if sp_model_kwargs is None else sp_model_kwargs

										super().__init__(
										    bos_token=SCREAMING_SNAKE_CASE_,    eos_token=SCREAMING_SNAKE_CASE_,    sep_token=SCREAMING_SNAKE_CASE_,    unk_token=SCREAMING_SNAKE_CASE_,    pad_token=SCREAMING_SNAKE_CASE_,    cls_token=SCREAMING_SNAKE_CASE_,    mask_token=SCREAMING_SNAKE_CASE_,    sp_model_kwargs=self.sp_model_kwargs,    **SCREAMING_SNAKE_CASE_,    )

										try:
																import sentencepiece as spm
										except ImportError:
																logger.warning(
																    '''You need to install SentencePiece to use XLMRobertaTokenizer: https://github.com/google/sentencepiece'''
																    ''' pip install sentencepiece'''      )
																raise

										snake_case       :     Any =    spm.SentencePieceProcessor(**self.sp_model_kwargs      )
										self.sp_model.Load(str(SCREAMING_SNAKE_CASE_      )      )
										snake_case       :     Optional[Any] =    vocab_file

										# Original fairseq vocab and spm vocab must be "aligned":
										# Vocab    |    0    |    1    |   2    |    3    |  4  |  5  |  6  |   7   |   8   |  9
										# -------- | ------- | ------- | ------ | ------- | --- | --- | --- | ----- | ----- | ----
										# fairseq  | '<s>'   | '<pad>' | '</s>' | '<unk>' | ',' | '.' | '▁' | 's'   | '▁de' | '-'
										# spm      | '<unk>' | '<s>'   | '</s>' | ','     | '.' | '▁' | 's' | '▁de' | '-'   | '▁a'

										# put special tokens and [unused] tokens into the vocab
										snake_case       :     Optional[int] =    {'''[PAD]''': 0, '''[CLS]''': 1, '''[SEP]''': 2, '''[UNK]''': 3, '''[MASK]''': 4}

										for i in range(10      ):
																snake_case       :     Tuple =    F"""[unused{i}]"""
																snake_case       :     str =    5 + i

										# The first "real" token "," has position 15 in the embedding vocab and position 3 in the spm vocab
										snake_case       :     str =    12
										snake_case       :     Optional[int] =    {v: k for k, v in self.fairseq_tokens_to_ids.items()}
										for k in self.fairseq_tokens_to_ids.keys():
																self.unique_no_split_tokens.append(SCREAMING_SNAKE_CASE_      )




				def __getstate__(							self	:				List[str]      ):
										snake_case       :     Tuple =    self.__dict__.copy()
										snake_case       :     str =    None
										return state




				def __setstate__(							self	:				Tuple,    SCREAMING_SNAKE_CASE_	:				Dict      ):
										snake_case       :     Tuple =    d
										try:
																import sentencepiece as spm
										except ImportError:
																logger.warning(
																    '''You need to install SentencePiece to use XLMRobertaTokenizer: https://github.com/google/sentencepiece'''
																    ''' pip install sentencepiece'''      )
																raise

										# for backward compatibility
										if not hasattr(self,    '''sp_model_kwargs'''      ):
																snake_case       :     Union[str, Any] =    {}

										snake_case       :     Optional[int] =    spm.SentencePieceProcessor(**self.sp_model_kwargs      )
										self.sp_model.Load(self.vocab_file      )




				def 	__snake_case							(							self	:				str,    SCREAMING_SNAKE_CASE_	:				List[int],    SCREAMING_SNAKE_CASE_	:				Optional[List[int]] = None,    SCREAMING_SNAKE_CASE_	:				bool = False      ):

										if already_has_special_tokens:
																return super().get_special_tokens_mask(
																    token_ids_a=SCREAMING_SNAKE_CASE_,    token_ids_a=SCREAMING_SNAKE_CASE_,    already_has_special_tokens=SCREAMING_SNAKE_CASE_      )

										if token_ids_a is None:
																return ([0] * len(SCREAMING_SNAKE_CASE_      )) + [1]
										return ([0] * len(SCREAMING_SNAKE_CASE_      )) + [1] + ([0] * len(SCREAMING_SNAKE_CASE_      )) + [1]




				def 	__snake_case							(							self	:				List[str],    SCREAMING_SNAKE_CASE_	:				List[int],    SCREAMING_SNAKE_CASE_	:				Optional[List[int]] = None      ):
										snake_case       :     Union[str, Any] =    [self.sep_token_id]

										if token_ids_a is None:
																return len(token_ids_a + sep      ) * [0]
										return len(token_ids_a + sep + sep + token_ids_a + sep      ) * [0]




				@property
				def 	__snake_case							(							self	:				str      ):
										return len(self.sp_model      ) + self.fairseq_offset




				def 	__snake_case							(							self	:				int      ):
										snake_case       :     int =    {self.convert_ids_to_tokens(SCREAMING_SNAKE_CASE_      ): i for i in range(self.vocab_size      )}
										vocab.update(self.added_tokens_encoder      )
										return vocab




				def 	__snake_case							(							self	:				List[str],    SCREAMING_SNAKE_CASE_	:				str      ):
										return self.sp_model.encode(SCREAMING_SNAKE_CASE_,    out_type=SCREAMING_SNAKE_CASE_      )




				def 	__snake_case							(							self	:				Tuple,    SCREAMING_SNAKE_CASE_	:				List[str]      ):
										if token in self.fairseq_tokens_to_ids:
																return self.fairseq_tokens_to_ids[token]
										snake_case       :     Tuple =    self.sp_model.PieceToId(SCREAMING_SNAKE_CASE_      )

										# Need to return unknown token if the SP model returned 0
										return spm_id + self.fairseq_offset if spm_id else self.unk_token_id




				def 	__snake_case							(							self	:				Optional[int],    SCREAMING_SNAKE_CASE_	:				Union[str, Any]      ):
										if index in self.fairseq_ids_to_tokens:
																return self.fairseq_ids_to_tokens[index]
										return self.sp_model.IdToPiece(index - self.fairseq_offset      )




				def 	__snake_case							(							self	:				Tuple,    SCREAMING_SNAKE_CASE_	:				Dict      ):
										snake_case       :     List[Any] =    ''''''.join(SCREAMING_SNAKE_CASE_      ).replace(SCREAMING_SNAKE_CASE_,    ''' '''      ).strip()
										return out_string




				def 	__snake_case							(							self	:				Tuple,    SCREAMING_SNAKE_CASE_	:				str,    SCREAMING_SNAKE_CASE_	:				Optional[str] = None      ):
										if not os.path.isdir(SCREAMING_SNAKE_CASE_      ):
																logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""      )
																return
										snake_case       :     str =    os.path.join(
										    SCREAMING_SNAKE_CASE_,    (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']      )

										if os.path.abspath(self.vocab_file      ) != os.path.abspath(SCREAMING_SNAKE_CASE_      ) and os.path.isfile(self.vocab_file      ):
																copyfile(self.vocab_file,    SCREAMING_SNAKE_CASE_      )
										elif not os.path.isfile(self.vocab_file      ):
																with open(SCREAMING_SNAKE_CASE_,    '''wb'''      ) as fi:
																						snake_case       :     Any =    self.sp_model.serialized_model_proto()
																						fi.write(SCREAMING_SNAKE_CASE_      )

										return (out_vocab_file,)




				def 	__snake_case							(							self	:				List[str],    SCREAMING_SNAKE_CASE_	:				List[int],    SCREAMING_SNAKE_CASE_	:				Optional[List[int]] = None      ):

										if token_ids_a is None:
																return token_ids_a + [self.sep_token_id]
										snake_case       :     str =    [self.sep_token_id]
										return token_ids_a + sep + token_ids_a + sep



'''simple docstring'''





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      A (       ):
						snake_case       :     Dict =    10
						snake_case       :     List[Any] =    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'''       ),
						    }       )
						snake_case       :     Dict =    datasets.Dataset.from_dict(
						    {
						        '''tokens''': [['''foo'''] * 5] * n,
						        '''labels''': [[1] * 5] * n,
						        '''answers''': [{'''answer_start''': [97], '''text''': ['''1976''']}] * 10,
						        '''id''': list(range(A_       )       ),
						    }    ,							features=A_    ,							)
						return dataset

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					List[Any]    ,							A_							:					Optional[Any]       ):
						snake_case       :     Any =    str(tmp_path_factory.mktemp('''data'''       ) / '''file.arrow'''       )
						dataset.map(cache_file_name=A_       )
						return filename


# FILE_CONTENT + files


UpperCAmelCase    					=   "\\n    Text data.\n    Second line of data."

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					List[str]       ):
						snake_case       :     Any =    tmp_path_factory.mktemp('''data'''       ) / '''file.txt'''
						snake_case       :     Union[str, Any] =    FILE_CONTENT
						with open(A_    ,							'''w'''       ) as f:
												f.write(A_       )
						return filename

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					Optional[Any]       ):
						import bza

						snake_case       :     Tuple =    tmp_path_factory.mktemp('''data'''       ) / '''file.txt.bz2'''
						snake_case       :     Union[str, Any] =    bytes(A_    ,							'''utf-8'''       )
						with bza.open(A_    ,							'''wb'''       ) as f:
												f.write(A_       )
						return path

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					List[Any]       ):
						import gzip

						snake_case       :     Any =    str(tmp_path_factory.mktemp('''data'''       ) / '''file.txt.gz'''       )
						snake_case       :     Any =    bytes(A_    ,							'''utf-8'''       )
						with gzip.open(A_    ,							'''wb'''       ) as f:
												f.write(A_       )
						return path

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					Optional[int]       ):
						if datasets.config.LZ4_AVAILABLE:
												import lza.frame

												snake_case       :     Union[str, Any] =    tmp_path_factory.mktemp('''data'''       ) / '''file.txt.lz4'''
												snake_case       :     Tuple =    bytes(A_    ,							'''utf-8'''       )
												with lza.frame.open(A_    ,							'''wb'''       ) as f:
																		f.write(A_       )
												return path

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					Union[str, Any]    ,							A_							:					str       ):
						if datasets.config.PY7ZR_AVAILABLE:
												import pyazr

												snake_case       :     Optional[Any] =    tmp_path_factory.mktemp('''data'''       ) / '''file.txt.7z'''
												with pyazr.SevenZipFile(A_    ,							'''w'''       ) as archive:
																		archive.write(A_    ,							arcname=os.path.basename(A_       )       )
												return path

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					List[str]    ,							A_							:					Optional[int]       ):
						import tarfile

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

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					Any       ):
						import lzma

						snake_case       :     Any =    tmp_path_factory.mktemp('''data'''       ) / '''file.txt.xz'''
						snake_case       :     Union[str, Any] =    bytes(A_    ,							'''utf-8'''       )
						with lzma.open(A_    ,							'''wb'''       ) as f:
												f.write(A_       )
						return path

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					Optional[int]    ,							A_							:					Union[str, Any]       ):
						import zipfile

						snake_case       :     List[str] =    tmp_path_factory.mktemp('''data'''       ) / '''file.txt.zip'''
						with zipfile.ZipFile(A_    ,							'''w'''       ) as f:
												f.write(A_    ,							arcname=os.path.basename(A_       )       )
						return path

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					List[str]       ):
						if datasets.config.ZSTANDARD_AVAILABLE:
												import zstandard as zstd

												snake_case       :     Tuple =    tmp_path_factory.mktemp('''data'''       ) / '''file.txt.zst'''
												snake_case       :     List[str] =    bytes(A_    ,							'''utf-8'''       )
												with zstd.open(A_    ,							'''wb'''       ) as f:
																		f.write(A_       )
												return path

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


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

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

UpperCAmelCase    					=   [
    {"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      A (       ):
						return DATA_DICT_OF_LISTS

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					str       ):
						snake_case       :     str =    datasets.Dataset.from_dict(A_       )
						snake_case       :     List[Any] =    str(tmp_path_factory.mktemp('''data'''       ) / '''dataset.arrow'''       )
						dataset.map(cache_file_name=A_       )
						return path

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					str       ):
						snake_case       :     Optional[int] =    str(tmp_path_factory.mktemp('''data'''       ) / '''dataset.sqlite'''       )
						with contextlib.closing(sqlitea.connect(A_       )       ) as con:
												snake_case       :     Optional[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      A (       A_							:					List[str]       ):
						snake_case       :     Any =    str(tmp_path_factory.mktemp('''data'''       ) / '''dataset.csv'''       )
						with open(A_    ,							'''w'''    ,							newline=''''''       ) as f:
												snake_case       :     Optional[int] =    csv.DictWriter(A_    ,							fieldnames=['''col_1''', '''col_2''', '''col_3''']       )
												writer.writeheader()
												for item in DATA:
																		writer.writerow(A_       )
						return path

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					Optional[int]       ):
						snake_case       :     Optional[int] =    str(tmp_path_factory.mktemp('''data'''       ) / '''dataset2.csv'''       )
						with open(A_    ,							'''w'''    ,							newline=''''''       ) as f:
												snake_case       :     int =    csv.DictWriter(A_    ,							fieldnames=['''col_1''', '''col_2''', '''col_3''']       )
												writer.writeheader()
												for item in DATA:
																		writer.writerow(A_       )
						return path

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					Optional[Any]    ,							A_							:					Optional[int]       ):
						import bza

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

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					str    ,							A_							:					int    ,							A_							:					List[Any]       ):
						snake_case       :     Optional[Any] =    tmp_path_factory.mktemp('''data'''       ) / '''dataset.csv.zip'''
						with zipfile.ZipFile(A_    ,							'''w'''       ) as f:
												f.write(A_    ,							arcname=os.path.basename(A_       )       )
												f.write(A_    ,							arcname=os.path.basename(A_       )       )
						return path

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

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					Dict    ,							A_							:					Dict    ,							A_							:					Optional[int]       ):
						snake_case       :     Dict =    tmp_path_factory.mktemp('''data'''       ) / '''dataset_with_dir.csv.zip'''
						with zipfile.ZipFile(A_    ,							'''w'''       ) as f:
												f.write(A_    ,							arcname=os.path.join('''main_dir'''    ,							os.path.basename(A_       )       )       )
												f.write(A_    ,							arcname=os.path.join('''main_dir'''    ,							os.path.basename(A_       )       )       )
						return path

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

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

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					str       ):
						snake_case       :     List[str] =    str(tmp_path_factory.mktemp('''data'''       ) / '''dataset.json'''       )
						snake_case       :     Any =    {'''data''': DATA_DICT_OF_LISTS}
						with open(A_    ,							'''w'''       ) as f:
												json.dump(A_    ,							A_       )
						return path

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

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					List[Any]       ):
						snake_case       :     Optional[int] =    str(tmp_path_factory.mktemp('''data'''       ) / '''dataset2.jsonl'''       )
						with open(A_    ,							'''w'''       ) as f:
												for item in DATA:
																		f.write(json.dumps(A_       ) + '''\n'''       )
						return path

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

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					int       ):
						snake_case       :     Dict =    str(tmp_path_factory.mktemp('''data'''       ) / '''dataset-str.jsonl'''       )
						with open(A_    ,							'''w'''       ) as f:
												for item in DATA_STR:
																		f.write(json.dumps(A_       ) + '''\n'''       )
						return path

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					Optional[int]    ,							A_							:					Optional[int]       ):
						import gzip

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

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					Optional[int]    ,							A_							:					Any       ):
						import gzip

						snake_case       :     List[Any] =    str(tmp_path_factory.mktemp('''data'''       ) / '''dataset.jsonl.gz'''       )
						with open(A_    ,							'''rb'''       ) as orig_file:
												with gzip.open(A_    ,							'''wb'''       ) as zipped_file:
																		zipped_file.writelines(A_       )
						return path

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					str    ,							A_							:					List[str]    ,							A_							:					Optional[int]       ):
						snake_case       :     int =    tmp_path_factory.mktemp('''data'''       ) / '''dataset.jsonl.zip'''
						with zipfile.ZipFile(A_    ,							'''w'''       ) as f:
												f.write(A_    ,							arcname=os.path.basename(A_       )       )
												f.write(A_    ,							arcname=os.path.basename(A_       )       )
						return path

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					List[str]    ,							A_							:					Any    ,							A_							:					Union[str, Any]    ,							A_							:					int       ):
						snake_case       :     List[str] =    tmp_path_factory.mktemp('''data'''       ) / '''dataset_nested.jsonl.zip'''
						with zipfile.ZipFile(A_    ,							'''w'''       ) as f:
												f.write(A_    ,							arcname=os.path.join('''nested'''    ,							os.path.basename(A_       )       )       )
						return path

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					List[str]    ,							A_							:					Dict    ,							A_							:					Any       ):
						snake_case       :     Optional[Any] =    tmp_path_factory.mktemp('''data'''       ) / '''dataset_with_dir.jsonl.zip'''
						with zipfile.ZipFile(A_    ,							'''w'''       ) as f:
												f.write(A_    ,							arcname=os.path.join('''main_dir'''    ,							os.path.basename(A_       )       )       )
												f.write(A_    ,							arcname=os.path.join('''main_dir'''    ,							os.path.basename(A_       )       )       )
						return path

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					List[Any]    ,							A_							:					Tuple    ,							A_							:					List[str]       ):
						snake_case       :     int =    tmp_path_factory.mktemp('''data'''       ) / '''dataset.jsonl.tar'''
						with tarfile.TarFile(A_    ,							'''w'''       ) as f:
												f.add(A_    ,							arcname=os.path.basename(A_       )       )
												f.add(A_    ,							arcname=os.path.basename(A_       )       )
						return path

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					Tuple    ,							A_							:					Any    ,							A_							:					Tuple    ,							A_							:					Optional[Any]       ):
						snake_case       :     List[Any] =    tmp_path_factory.mktemp('''data'''       ) / '''dataset_nested.jsonl.tar'''
						with tarfile.TarFile(A_    ,							'''w'''       ) as f:
												f.add(A_    ,							arcname=os.path.join('''nested'''    ,							os.path.basename(A_       )       )       )
						return path

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

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

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

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					Optional[Any]    ,							A_							:					Any    ,							A_							:					Union[str, Any]       ):
						snake_case       :     Dict =    tmp_path_factory.mktemp('''data'''       ) / '''dataset.text.zip'''
						with zipfile.ZipFile(A_    ,							'''w'''       ) as f:
												f.write(A_    ,							arcname=os.path.basename(A_       )       )
												f.write(A_    ,							arcname=os.path.basename(A_       )       )
						return path

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					List[str]    ,							A_							:					Union[str, Any]    ,							A_							:					Optional[Any]       ):
						snake_case       :     List[Any] =    tmp_path_factory.mktemp('''data'''       ) / '''dataset_with_dir.text.zip'''
						with zipfile.ZipFile(A_    ,							'''w'''       ) as f:
												f.write(A_    ,							arcname=os.path.join('''main_dir'''    ,							os.path.basename(A_       )       )       )
												f.write(A_    ,							arcname=os.path.join('''main_dir'''    ,							os.path.basename(A_       )       )       )
						return path

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					Any    ,							A_							:					Union[str, Any]    ,							A_							:					str       ):
						snake_case       :     List[Any] =    tmp_path_factory.mktemp('''data'''       ) / '''dataset.ext.zip'''
						with zipfile.ZipFile(A_    ,							'''w'''       ) as f:
												f.write(A_    ,							arcname=os.path.basename('''unsupported.ext'''       )       )
												f.write(A_    ,							arcname=os.path.basename('''unsupported_2.ext'''       )       )
						return path

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

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

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

@pytest.fixture(scope='''session'''       )
def      A (       A_							:					Optional[Any]    ,							A_							:					Optional[Any]       ):
						snake_case       :     Union[str, Any] =    tmp_path_factory.mktemp('''data'''       ) / '''dataset.img.zip'''
						with zipfile.ZipFile(A_    ,							'''w'''       ) as f:
												f.write(A_    ,							arcname=os.path.basename(A_       )       )
												f.write(A_    ,							arcname=os.path.basename(A_       ).replace('''.jpg'''    ,							'''2.jpg'''       )       )
						return path





@pytest.fixture(scope='''session'''       )
def      A (       A_							:					Optional[Any]       ):
						snake_case       :     Dict =    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

