



"""simple docstring"""





import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
					from transformers.pipelines.conversational import Conversation

__lowerCAmelCase       :					List[Any]      					=					logging.get_logger(__name__)


__lowerCAmelCase       :					Optional[int]      					=					{
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

__lowerCAmelCase       :					Union[str, Any]      					=					{
    '''vocab_file''': {'''facebook/blenderbot-3B''': '''https://huggingface.co/facebook/blenderbot-3B/resolve/main/vocab.json'''},
    '''merges_file''': {'''facebook/blenderbot-3B''': '''https://huggingface.co/facebook/blenderbot-3B/resolve/main/merges.txt'''},
    '''tokenizer_config_file''': {
        '''facebook/blenderbot-3B''': '''https://huggingface.co/facebook/blenderbot-3B/resolve/main/tokenizer_config.json'''
    },
}

__lowerCAmelCase       :					Optional[Any]      					=					{'''facebook/blenderbot-3B''': 128}
@lru_cache()
# Copied from transformers.models.roberta.tokenization_roberta.bytes_to_unicode
def 	__lowerCAmelCase						(		):


						'''simple docstring'''






						snake_case_   : Optional[int]						=			(
						    list(range(ord("""!"""    )					, ord("""~"""    ) + 1    )    ) + list(range(ord("""¡"""    )					, ord("""¬"""    ) + 1    )    ) + list(range(ord("""®"""    )					, ord("""ÿ"""    ) + 1    )    )
						)
						snake_case_   : Tuple						=			bs[:]
						snake_case_   : Any						=			0
						for b in range(2**8    ):
												if b not in bs:
																		bs.append(lowerCamelCase__    )
																		cs.append(2**8 + n    )
																		n += 1
						snake_case_   : List[str]						=			[chr(lowerCamelCase__    ) for n in cs]
						return dict(zip(lowerCamelCase__					, lowerCamelCase__    )    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Union[str, Any]    ):


						'''simple docstring'''






						snake_case_   : Optional[Any]						=			set()
						snake_case_   : List[Any]						=			word[0]
						for char in word[1:]:
												pairs.add((prev_char, char)    )
												snake_case_   : Dict						=			char
						return pairs






class    _lowerCAmelCase    (				SCREAMING_SNAKE_CASE__		):





		"""simple docstring"""






		_lowerCamelCase			  =       VOCAB_FILES_NAMES
		_lowerCamelCase			  =       PRETRAINED_VOCAB_FILES_MAP
		_lowerCamelCase			  =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		_lowerCamelCase			  =       ["""input_ids""", """attention_mask"""]





		def __init__(					self							,    _lowercase							,    _lowercase							,    _lowercase="replace"							,    _lowercase="<s>"							,    _lowercase="</s>"							,    _lowercase="</s>"							,    _lowercase="<s>"							,    _lowercase="<unk>"							,    _lowercase="<pad>"							,    _lowercase="<mask>"							,    _lowercase=False							,    **_lowercase							,    ) ->						str:







								'''simple docstring'''

								snake_case_   : Optional[Any]						=			AddedToken(_lowercase							,    lstrip=_lowercase							,    rstrip=_lowercase   ) if isinstance(_lowercase							,    _lowercase   ) else bos_token
								snake_case_   : Optional[Any]						=			AddedToken(_lowercase							,    lstrip=_lowercase							,    rstrip=_lowercase   ) if isinstance(_lowercase							,    _lowercase   ) else eos_token
								snake_case_   : Optional[int]						=			AddedToken(_lowercase							,    lstrip=_lowercase							,    rstrip=_lowercase   ) if isinstance(_lowercase							,    _lowercase   ) else sep_token
								snake_case_   : List[Any]						=			AddedToken(_lowercase							,    lstrip=_lowercase							,    rstrip=_lowercase   ) if isinstance(_lowercase							,    _lowercase   ) else cls_token
								snake_case_   : List[Any]						=			AddedToken(_lowercase							,    lstrip=_lowercase							,    rstrip=_lowercase   ) if isinstance(_lowercase							,    _lowercase   ) else unk_token
								snake_case_   : List[str]						=			AddedToken(_lowercase							,    lstrip=_lowercase							,    rstrip=_lowercase   ) if isinstance(_lowercase							,    _lowercase   ) else pad_token

								# Mask token behave like a normal word, i.e. include the space before it
								snake_case_   : str						=			AddedToken(_lowercase							,    lstrip=_lowercase							,    rstrip=_lowercase   ) if isinstance(_lowercase							,    _lowercase   ) else mask_token

								super().__init__(
								    errors=_lowercase							,    bos_token=_lowercase							,    eos_token=_lowercase							,    unk_token=_lowercase							,    sep_token=_lowercase							,    cls_token=_lowercase							,    pad_token=_lowercase							,    mask_token=_lowercase							,    add_prefix_space=_lowercase							,    **_lowercase							,    )

								with open(_lowercase							,    encoding="""utf-8"""   ) as vocab_handle:
														snake_case_   : List[Any]						=			json.load(_lowercase   )
								snake_case_   : List[str]						=			{v: k for k, v in self.encoder.items()}
								snake_case_   : Dict						=			errors  # how to handle errors in decoding
								snake_case_   : Union[str, Any]						=			bytes_to_unicode()
								snake_case_   : Union[str, Any]						=			{v: k for k, v in self.byte_encoder.items()}
								with open(_lowercase							,    encoding="""utf-8"""   ) as merges_handle:
														snake_case_   : List[str]						=			merges_handle.read().split("""\n"""   )[1:-1]
								snake_case_   : str						=			[tuple(merge.split()   ) for merge in bpe_merges]
								snake_case_   : Optional[int]						=			dict(zip(_lowercase							,    range(len(_lowercase   )   )   )   )
								snake_case_   : List[Any]						=			{}
								snake_case_   : Any						=			add_prefix_space

								# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
								snake_case_   : List[Any]						=			re.compile(R"""\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"""   )





		@property
		# Copied from transformers.models.roberta.tokenization_roberta.RobertaTokenizer.vocab_size with Roberta->Blenderbot, RoBERTa->Blenderbot
		def    UpperCAmelCase__							(					self   ) ->						List[Any]:







								'''simple docstring'''

								return len(self.encoder   )





		def    UpperCAmelCase__							(					self   ) ->						int:







								'''simple docstring'''

								return dict(self.encoder							,    **self.added_tokens_encoder   )





		def    UpperCAmelCase__							(					self							,    _lowercase   ) ->						List[Any]:







								'''simple docstring'''

								if token in self.cache:
														return self.cache[token]
								snake_case_   : int						=			tuple(_lowercase   )
								snake_case_   : str						=			get_pairs(_lowercase   )

								if not pairs:
														return token

								while True:
														snake_case_   : List[Any]						=			min(_lowercase							,    key=lambda _lowercase   : self.bpe_ranks.get(_lowercase							,    float("""inf"""   )   )   )
														if bigram not in self.bpe_ranks:
																				break
														snake_case_			,		snake_case_   : int						=			bigram
														snake_case_   : Any						=			[]
														snake_case_   : Any						=			0
														while i < len(_lowercase   ):
																				try:
																										snake_case_   : Any						=			word.index(_lowercase							,    _lowercase   )
																				except ValueError:
																										new_word.extend(word[i:]   )
																										break
																				else:
																										new_word.extend(word[i:j]   )
																										snake_case_   : Any						=			j

																				if word[i] == first and i < len(_lowercase   ) - 1 and word[i + 1] == second:
																										new_word.append(first + second   )
																										i += 2
																				else:
																										new_word.append(word[i]   )
																										i += 1
														snake_case_   : Optional[Any]						=			tuple(_lowercase   )
														snake_case_   : List[str]						=			new_word
														if len(_lowercase   ) == 1:
																				break
														else:
																				snake_case_   : List[Any]						=			get_pairs(_lowercase   )
								snake_case_   : str						=			""" """.join(_lowercase   )
								snake_case_   : Optional[Any]						=			word
								return word





		def    UpperCAmelCase__							(					self							,    _lowercase   ) ->						List[Any]:







								'''simple docstring'''

								snake_case_   : str						=			[]
								for token in re.findall(self.pat							,    _lowercase   ):
														snake_case_   : Union[str, Any]						=			"""""".join(
														    self.byte_encoder[b] for b in token.encode("""utf-8"""   )   )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
														bpe_tokens.extend(bpe_token for bpe_token in self.bpe(_lowercase   ).split(""" """   )   )
								return bpe_tokens





		def    UpperCAmelCase__							(					self							,    _lowercase   ) ->						Optional[Any]:







								'''simple docstring'''

								return self.encoder.get(_lowercase							,    self.encoder.get(self.unk_token   )   )





		def    UpperCAmelCase__							(					self							,    _lowercase   ) ->						List[str]:







								'''simple docstring'''

								return self.decoder.get(_lowercase   )





		def    UpperCAmelCase__							(					self							,    _lowercase   ) ->						Optional[int]:







								'''simple docstring'''

								snake_case_   : str						=			"""""".join(_lowercase   )
								snake_case_   : Optional[int]						=			bytearray([self.byte_decoder[c] for c in text]   ).decode("""utf-8"""							,    errors=self.errors   )
								return text





		def    UpperCAmelCase__							(					self							,    _lowercase							,    _lowercase = None   ) ->						Tuple[str]:







								'''simple docstring'''

								if not os.path.isdir(_lowercase   ):
														logger.error(f'Vocabulary path ({save_directory}) should be a directory'   )
														return
								snake_case_   : List[Any]						=			os.path.join(
								    _lowercase							,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]   )
								snake_case_   : List[Any]						=			os.path.join(
								    _lowercase							,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]   )

								with open(_lowercase							,    """w"""							,    encoding="""utf-8"""   ) as f:
														f.write(json.dumps(self.encoder							,    indent=2							,    sort_keys=_lowercase							,    ensure_ascii=_lowercase   ) + """\n"""   )

								snake_case_   : Dict						=			0
								with open(_lowercase							,    """w"""							,    encoding="""utf-8"""   ) as writer:
														writer.write("""#version: 0.2\n"""   )
														for bpe_tokens, token_index in sorted(self.bpe_ranks.items()							,    key=lambda _lowercase   : kv[1]   ):
																				if index != token_index:
																										logger.warning(
																										    f'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
																										    """ Please check that the tokenizer is not corrupted!"""   )
																										snake_case_   : Union[str, Any]						=			token_index
																				writer.write(""" """.join(_lowercase   ) + """\n"""   )
																				index += 1

								return vocab_file, merge_file





		def    UpperCAmelCase__							(					self							,    _lowercase							,    _lowercase = None							,    _lowercase = False   ) ->						List[int]:







								'''simple docstring'''

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

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





		def    UpperCAmelCase__							(					self							,    _lowercase							,    _lowercase = None   ) ->						List[int]:







								'''simple docstring'''

								snake_case_   : List[Any]						=			[self.sep_token_id]
								snake_case_   : Optional[int]						=			[self.cls_token_id]

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





		def    UpperCAmelCase__							(					self							,    _lowercase							,    _lowercase=False							,    **_lowercase   ) ->						Union[str, Any]:







								'''simple docstring'''

								snake_case_   : Union[str, Any]						=			kwargs.pop("""add_prefix_space"""							,    self.add_prefix_space   )
								if (is_split_into_words or add_prefix_space) and (len(_lowercase   ) > 0 and not text[0].isspace()):
														snake_case_   : Union[str, Any]						=			""" """ + text
								return (text, kwargs)





		def    UpperCAmelCase__							(					self							,    _lowercase							,    _lowercase = None   ) ->						Dict:







								'''simple docstring'''

								return token_ids_a + [self.eos_token_id]





		def    UpperCAmelCase__							(					self							,    _lowercase   ) ->						List[int]:







								'''simple docstring'''

								snake_case_   : Optional[int]						=			[]
								for is_user, text in conversation.iter_texts():
														if is_user:
																				# We need to space prefix as it's being done within blenderbot
																				inputs.append(""" """ + text   )
														else:
																				# Generated responses should contain them already.
																				inputs.append(_lowercase   )

								snake_case_   : List[str]						=			"""  """.join(_lowercase   )
								snake_case_   : Tuple						=			self.encode(_lowercase   )
								if len(_lowercase   ) > self.model_max_length:
														snake_case_   : Dict						=			input_ids[-self.model_max_length :]
														logger.warning(f'Trimmed input from conversation as it was longer than {self.model_max_length} tokens.'   )
								return input_ids






"""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 	__lowerCAmelCase						(		):


						'''simple docstring'''






						snake_case_   : int						=			1_0
						snake_case_   : 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_   : Tuple						=			datasets.Dataset.from_dict(
						    {
						        """tokens""": [["""foo"""] * 5] * n,
						        """labels""": [[1] * 5] * n,
						        """answers""": [{"""answer_start""": [9_7], """text""": ["""1976"""]}] * 1_0,
						        """id""": list(range(__UpperCamelCase    )    ),
						    }					, features=__UpperCamelCase					, )
						return dataset
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Union[str, Any]					, __UpperCamelCase      :			Dict    ):


						'''simple docstring'''






						snake_case_   : str						=			str(tmp_path_factory.mktemp("""data"""    ) / """file.arrow"""    )
						dataset.map(cache_file_name=__UpperCamelCase    )
						return filename


# FILE_CONTENT + files


__lowerCAmelCase       :					List[Any]      					=					'''\
    Text data.
    Second line of data.'''
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			int    ):


						'''simple docstring'''






						snake_case_   : Union[str, Any]						=			tmp_path_factory.mktemp("""data"""    ) / """file.txt"""
						snake_case_   : Optional[Any]						=			FILE_CONTENT
						with open(__UpperCamelCase					, """w"""    ) as f:
												f.write(__UpperCamelCase    )
						return filename
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[Any]    ):


						'''simple docstring'''






						import bza

						snake_case_   : Dict						=			tmp_path_factory.mktemp("""data"""    ) / """file.txt.bz2"""
						snake_case_   : Any						=			bytes(__UpperCamelCase					, """utf-8"""    )
						with bza.open(__UpperCamelCase					, """wb"""    ) as f:
												f.write(__UpperCamelCase    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[int]    ):


						'''simple docstring'''






						import gzip

						snake_case_   : Tuple						=			str(tmp_path_factory.mktemp("""data"""    ) / """file.txt.gz"""    )
						snake_case_   : List[Any]						=			bytes(__UpperCamelCase					, """utf-8"""    )
						with gzip.open(__UpperCamelCase					, """wb"""    ) as f:
												f.write(__UpperCamelCase    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Dict    ):


						'''simple docstring'''






						if datasets.config.LZ4_AVAILABLE:
												import lza.frame

												snake_case_   : Any						=			tmp_path_factory.mktemp("""data"""    ) / """file.txt.lz4"""
												snake_case_   : Optional[Any]						=			bytes(__UpperCamelCase					, """utf-8"""    )
												with lza.frame.open(__UpperCamelCase					, """wb"""    ) as f:
																		f.write(__UpperCamelCase    )
												return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			List[str]					, __UpperCamelCase      :			Optional[int]    ):


						'''simple docstring'''






						if datasets.config.PY7ZR_AVAILABLE:
												import pyazr

												snake_case_   : Any						=			tmp_path_factory.mktemp("""data"""    ) / """file.txt.7z"""
												with pyazr.SevenZipFile(__UpperCamelCase					, """w"""    ) as archive:
																		archive.write(__UpperCamelCase					, arcname=os.path.basename(__UpperCamelCase    )    )
												return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[int]					, __UpperCamelCase      :			Tuple    ):


						'''simple docstring'''






						import tarfile

						snake_case_   : Tuple						=			tmp_path_factory.mktemp("""data"""    ) / """file.txt.tar"""
						with tarfile.TarFile(__UpperCamelCase					, """w"""    ) as f:
												f.add(__UpperCamelCase					, arcname=os.path.basename(__UpperCamelCase    )    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Any    ):


						'''simple docstring'''






						import lzma

						snake_case_   : str						=			tmp_path_factory.mktemp("""data"""    ) / """file.txt.xz"""
						snake_case_   : str						=			bytes(__UpperCamelCase					, """utf-8"""    )
						with lzma.open(__UpperCamelCase					, """wb"""    ) as f:
												f.write(__UpperCamelCase    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Union[str, Any]					, __UpperCamelCase      :			Dict    ):


						'''simple docstring'''






						import zipfile

						snake_case_   : Optional[int]						=			tmp_path_factory.mktemp("""data"""    ) / """file.txt.zip"""
						with zipfile.ZipFile(__UpperCamelCase					, """w"""    ) as f:
												f.write(__UpperCamelCase					, arcname=os.path.basename(__UpperCamelCase    )    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Any    ):


						'''simple docstring'''






						if datasets.config.ZSTANDARD_AVAILABLE:
												import zstandard as zstd

												snake_case_   : Any						=			tmp_path_factory.mktemp("""data"""    ) / """file.txt.zst"""
												snake_case_   : Tuple						=			bytes(__UpperCamelCase					, """utf-8"""    )
												with zstd.open(__UpperCamelCase					, """wb"""    ) as f:
																		f.write(__UpperCamelCase    )
												return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[int]    ):


						'''simple docstring'''






						snake_case_   : Dict						=			tmp_path_factory.mktemp("""data"""    ) / """file.xml"""
						snake_case_   : List[str]						=			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(__UpperCamelCase					, """w"""    ) as f:
												f.write(__UpperCamelCase    )
						return filename


__lowerCAmelCase       :					List[str]      					=					[
    {'''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},
]
__lowerCAmelCase       :					Tuple      					=					[
    {'''col_1''': '''4''', '''col_2''': 4, '''col_3''': 4.0},
    {'''col_1''': '''5''', '''col_2''': 5, '''col_3''': 5.0},
]
__lowerCAmelCase       :					int      					=					{
    '''col_1''': ['''0''', '''1''', '''2''', '''3'''],
    '''col_2''': [0, 1, 2, 3],
    '''col_3''': [0.0, 1.0, 2.0, 3.0],
}

__lowerCAmelCase       :					int      					=					[
    {'''col_3''': 0.0, '''col_1''': '''0''', '''col_2''': 0},
    {'''col_3''': 1.0, '''col_1''': '''1''', '''col_2''': 1},
]

__lowerCAmelCase       :					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 	__lowerCAmelCase						(		):


						'''simple docstring'''






						return DATA_DICT_OF_LISTS
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[Any]    ):


						'''simple docstring'''






						snake_case_   : Optional[int]						=			datasets.Dataset.from_dict(__UpperCamelCase    )
						snake_case_   : List[str]						=			str(tmp_path_factory.mktemp("""data"""    ) / """dataset.arrow"""    )
						dataset.map(cache_file_name=__UpperCamelCase    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Union[str, Any]    ):


						'''simple docstring'''






						snake_case_   : str						=			str(tmp_path_factory.mktemp("""data"""    ) / """dataset.sqlite"""    )
						with contextlib.closing(sqlitea.connect(__UpperCamelCase    )    ) as con:
												snake_case_   : Tuple						=			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 	__lowerCAmelCase						(		__UpperCamelCase      :			Tuple    ):


						'''simple docstring'''






						snake_case_   : List[Any]						=			str(tmp_path_factory.mktemp("""data"""    ) / """dataset.csv"""    )
						with open(__UpperCamelCase					, """w"""					, newline=""""""    ) as f:
												snake_case_   : Optional[Any]						=			csv.DictWriter(__UpperCamelCase					, fieldnames=["""col_1""", """col_2""", """col_3"""]    )
												writer.writeheader()
												for item in DATA:
																		writer.writerow(__UpperCamelCase    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Union[str, Any]    ):


						'''simple docstring'''






						snake_case_   : Union[str, Any]						=			str(tmp_path_factory.mktemp("""data"""    ) / """dataset2.csv"""    )
						with open(__UpperCamelCase					, """w"""					, newline=""""""    ) as f:
												snake_case_   : str						=			csv.DictWriter(__UpperCamelCase					, fieldnames=["""col_1""", """col_2""", """col_3"""]    )
												writer.writeheader()
												for item in DATA:
																		writer.writerow(__UpperCamelCase    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Any					, __UpperCamelCase      :			int    ):


						'''simple docstring'''






						import bza

						snake_case_   : Tuple						=			tmp_path_factory.mktemp("""data"""    ) / """dataset.csv.bz2"""
						with open(__UpperCamelCase					, """rb"""    ) as f:
												snake_case_   : int						=			f.read()
						# data = bytes(FILE_CONTENT, "utf-8")
						with bza.open(__UpperCamelCase					, """wb"""    ) as f:
												f.write(__UpperCamelCase    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Dict					, __UpperCamelCase      :			int					, __UpperCamelCase      :			str    ):


						'''simple docstring'''






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


						'''simple docstring'''






						snake_case_   : Any						=			tmp_path_factory.mktemp("""data"""    ) / """dataset.csv.zip"""
						with zipfile.ZipFile(__UpperCamelCase					, """w"""    ) as f:
												f.write(__UpperCamelCase					, arcname=os.path.basename(csv_path.replace(""".csv"""					, """.CSV"""    )    )    )
												f.write(__UpperCamelCase					, arcname=os.path.basename(csva_path.replace(""".csv"""					, """.CSV"""    )    )    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			List[str]					, __UpperCamelCase      :			Optional[Any]					, __UpperCamelCase      :			Optional[int]    ):


						'''simple docstring'''






						snake_case_   : int						=			tmp_path_factory.mktemp("""data"""    ) / """dataset_with_dir.csv.zip"""
						with zipfile.ZipFile(__UpperCamelCase					, """w"""    ) as f:
												f.write(__UpperCamelCase					, arcname=os.path.join("""main_dir"""					, os.path.basename(__UpperCamelCase    )    )    )
												f.write(__UpperCamelCase					, arcname=os.path.join("""main_dir"""					, os.path.basename(__UpperCamelCase    )    )    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			int    ):


						'''simple docstring'''






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


						'''simple docstring'''






						snake_case_   : Optional[Any]						=			str(tmp_path_factory.mktemp("""data"""    ) / """dataset.json"""    )
						snake_case_   : Any						=			{"""data""": DATA}
						with open(__UpperCamelCase					, """w"""    ) as f:
												json.dump(__UpperCamelCase					, __UpperCamelCase    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Union[str, Any]    ):


						'''simple docstring'''






						snake_case_   : Tuple						=			str(tmp_path_factory.mktemp("""data"""    ) / """dataset.json"""    )
						snake_case_   : List[Any]						=			{"""data""": DATA_DICT_OF_LISTS}
						with open(__UpperCamelCase					, """w"""    ) as f:
												json.dump(__UpperCamelCase					, __UpperCamelCase    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[Any]    ):


						'''simple docstring'''






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


						'''simple docstring'''






						snake_case_   : int						=			str(tmp_path_factory.mktemp("""data"""    ) / """dataset2.jsonl"""    )
						with open(__UpperCamelCase					, """w"""    ) as f:
												for item in DATA:
																		f.write(json.dumps(__UpperCamelCase    ) + """\n"""    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Any    ):


						'''simple docstring'''






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


						'''simple docstring'''






						snake_case_   : Optional[Any]						=			str(tmp_path_factory.mktemp("""data"""    ) / """dataset-str.jsonl"""    )
						with open(__UpperCamelCase					, """w"""    ) as f:
												for item in DATA_STR:
																		f.write(json.dumps(__UpperCamelCase    ) + """\n"""    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Any					, __UpperCamelCase      :			Union[str, Any]    ):


						'''simple docstring'''






						import gzip

						snake_case_   : List[str]						=			str(tmp_path_factory.mktemp("""data"""    ) / """dataset.txt.gz"""    )
						with open(__UpperCamelCase					, """rb"""    ) as orig_file:
												with gzip.open(__UpperCamelCase					, """wb"""    ) as zipped_file:
																		zipped_file.writelines(__UpperCamelCase    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			str					, __UpperCamelCase      :			List[str]    ):


						'''simple docstring'''






						import gzip

						snake_case_   : Dict						=			str(tmp_path_factory.mktemp("""data"""    ) / """dataset.jsonl.gz"""    )
						with open(__UpperCamelCase					, """rb"""    ) as orig_file:
												with gzip.open(__UpperCamelCase					, """wb"""    ) as zipped_file:
																		zipped_file.writelines(__UpperCamelCase    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Dict					, __UpperCamelCase      :			Dict					, __UpperCamelCase      :			Union[str, Any]    ):


						'''simple docstring'''






						snake_case_   : List[str]						=			tmp_path_factory.mktemp("""data"""    ) / """dataset.jsonl.zip"""
						with zipfile.ZipFile(__UpperCamelCase					, """w"""    ) as f:
												f.write(__UpperCamelCase					, arcname=os.path.basename(__UpperCamelCase    )    )
												f.write(__UpperCamelCase					, arcname=os.path.basename(__UpperCamelCase    )    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Tuple					, __UpperCamelCase      :			Tuple					, __UpperCamelCase      :			Optional[Any]					, __UpperCamelCase      :			str    ):


						'''simple docstring'''






						snake_case_   : int						=			tmp_path_factory.mktemp("""data"""    ) / """dataset_nested.jsonl.zip"""
						with zipfile.ZipFile(__UpperCamelCase					, """w"""    ) as f:
												f.write(__UpperCamelCase					, arcname=os.path.join("""nested"""					, os.path.basename(__UpperCamelCase    )    )    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[int]					, __UpperCamelCase      :			List[Any]					, __UpperCamelCase      :			Dict    ):


						'''simple docstring'''






						snake_case_   : Union[str, Any]						=			tmp_path_factory.mktemp("""data"""    ) / """dataset_with_dir.jsonl.zip"""
						with zipfile.ZipFile(__UpperCamelCase					, """w"""    ) as f:
												f.write(__UpperCamelCase					, arcname=os.path.join("""main_dir"""					, os.path.basename(__UpperCamelCase    )    )    )
												f.write(__UpperCamelCase					, arcname=os.path.join("""main_dir"""					, os.path.basename(__UpperCamelCase    )    )    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			List[str]					, __UpperCamelCase      :			Tuple					, __UpperCamelCase      :			Tuple    ):


						'''simple docstring'''






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


						'''simple docstring'''






						snake_case_   : Union[str, Any]						=			tmp_path_factory.mktemp("""data"""    ) / """dataset_nested.jsonl.tar"""
						with tarfile.TarFile(__UpperCamelCase					, """w"""    ) as f:
												f.add(__UpperCamelCase					, arcname=os.path.join("""nested"""					, os.path.basename(__UpperCamelCase    )    )    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			str    ):


						'''simple docstring'''






						snake_case_   : str						=			["""0""", """1""", """2""", """3"""]
						snake_case_   : Dict						=			str(tmp_path_factory.mktemp("""data"""    ) / """dataset.txt"""    )
						with open(__UpperCamelCase					, """w"""    ) as f:
												for item in data:
																		f.write(item + """\n"""    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Dict    ):


						'''simple docstring'''






						snake_case_   : int						=			["""0""", """1""", """2""", """3"""]
						snake_case_   : int						=			str(tmp_path_factory.mktemp("""data"""    ) / """dataset2.txt"""    )
						with open(__UpperCamelCase					, """w"""    ) as f:
												for item in data:
																		f.write(item + """\n"""    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			List[str]    ):


						'''simple docstring'''






						snake_case_   : List[Any]						=			["""0""", """1""", """2""", """3"""]
						snake_case_   : str						=			tmp_path_factory.mktemp("""data"""    ) / """dataset.abc"""
						with open(__UpperCamelCase					, """w"""    ) as f:
												for item in data:
																		f.write(item + """\n"""    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Dict					, __UpperCamelCase      :			List[Any]					, __UpperCamelCase      :			Dict    ):


						'''simple docstring'''






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


						'''simple docstring'''






						snake_case_   : Dict						=			tmp_path_factory.mktemp("""data"""    ) / """dataset_with_dir.text.zip"""
						with zipfile.ZipFile(__UpperCamelCase					, """w"""    ) as f:
												f.write(__UpperCamelCase					, arcname=os.path.join("""main_dir"""					, os.path.basename(__UpperCamelCase    )    )    )
												f.write(__UpperCamelCase					, arcname=os.path.join("""main_dir"""					, os.path.basename(__UpperCamelCase    )    )    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			List[Any]					, __UpperCamelCase      :			Optional[Any]					, __UpperCamelCase      :			Optional[int]    ):


						'''simple docstring'''






						snake_case_   : Optional[Any]						=			tmp_path_factory.mktemp("""data"""    ) / """dataset.ext.zip"""
						with zipfile.ZipFile(__UpperCamelCase					, """w"""    ) as f:
												f.write(__UpperCamelCase					, arcname=os.path.basename("""unsupported.ext"""    )    )
												f.write(__UpperCamelCase					, arcname=os.path.basename("""unsupported_2.ext"""    )    )
						return path
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			str    ):


						'''simple docstring'''






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


						'''simple docstring'''






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


						'''simple docstring'''






						return os.path.join("""tests"""					, """features"""					, """data"""					, """test_audio_44100.wav"""    )
@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Dict					, __UpperCamelCase      :			List[Any]    ):


						'''simple docstring'''






						snake_case_   : Any						=			tmp_path_factory.mktemp("""data"""    ) / """dataset.img.zip"""
						with zipfile.ZipFile(__UpperCamelCase					, """w"""    ) as f:
												f.write(__UpperCamelCase					, arcname=os.path.basename(__UpperCamelCase    )    )
												f.write(__UpperCamelCase					, arcname=os.path.basename(__UpperCamelCase    ).replace(""".jpg"""					, """2.jpg"""    )    )
						return path






@pytest.fixture(scope="""session"""    )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Any    ):


						'''simple docstring'''






						snake_case_   : 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""" * 1_0    )
						with open(data_dir / """subdir""" / """test.txt"""					, """w"""    ) as f:
												f.write("""bar\n""" * 1_0    )
						# hidden file
						with open(data_dir / """subdir""" / """.test.txt"""					, """w"""    ) as f:
												f.write("""bar\n""" * 1_0    )

						# hidden directory
						(data_dir / ".subdir").mkdir()
						with open(data_dir / """.subdir""" / """train.txt"""					, """w"""    ) as f:
												f.write("""foo\n""" * 1_0    )
						with open(data_dir / """.subdir""" / """test.txt"""					, """w"""    ) as f:
												f.write("""bar\n""" * 1_0    )

						return data_dir

