
# This script creates a super tiny model that is useful inside tests, when we just want to test that
# the machinery works, without needing to the check the quality of the outcomes.
#
# This version creates a tiny vocab first, and then a tiny model - so the outcome is truly tiny -
# all files ~60KB. As compared to taking a full-size model, reducing to the minimum its layers and
# emb dimensions, but keeping the full vocab + merges files, leading to ~3MB in total for all files.
# The latter is done by `fsmt-make-super-tiny-model.py`.
#
# It will be used then as "stas/tiny-wmt19-en-ru"

from pathlib import Path
import json
import tempfile

from transformers import FSMTTokenizer, FSMTConfig, FSMTForConditionalGeneration
from transformers.models.fsmt.tokenization_fsmt import VOCAB_FILES_NAMES

SCREAMING_SNAKE_CASE							:Optional[Any]							 =				'tiny-wmt19-en-ru'

# Build

# borrowed from a test
SCREAMING_SNAKE_CASE							:Union[str, Any]							 =				[
    'l',
    'o',
    'w',
    'e',
    'r',
    's',
    't',
    'i',
    'd',
    'n',
    'w</w>',
    'r</w>',
    't</w>',
    'lo',
    'low',
    'er</w>',
    'low</w>',
    'lowest</w>',
    'newer</w>',
    'wider</w>',
    '<unk>',
]
SCREAMING_SNAKE_CASE							:Optional[Any]							 =				dict(zip(vocab, range(len(vocab))))
SCREAMING_SNAKE_CASE							:Tuple							 =				['l o 123', 'lo w 1456', 'e r</w> 1789', '']

with tempfile.TemporaryDirectory() as tmpdirname:
					SCREAMING_SNAKE_CASE							:Optional[int]							 =				Path(tmpdirname)
					SCREAMING_SNAKE_CASE							:Optional[int]							 =				build_dir / VOCAB_FILES_NAMES['src_vocab_file']
					SCREAMING_SNAKE_CASE							:Any							 =				build_dir / VOCAB_FILES_NAMES['tgt_vocab_file']
					SCREAMING_SNAKE_CASE							:str							 =				build_dir / VOCAB_FILES_NAMES['merges_file']
					with open(src_vocab_file, 'w') as fp:
										fp.write(json.dumps(vocab_tokens))
					with open(tgt_vocab_file, 'w') as fp:
										fp.write(json.dumps(vocab_tokens))
					with open(merges_file, 'w') as fp:
										fp.write('\n'.join(merges))

					SCREAMING_SNAKE_CASE							:Tuple							 =				FSMTTokenizer(
					    langs=['en', 'ru'],
					    src_vocab_size=len(vocab),
					    tgt_vocab_size=len(vocab),
					    src_vocab_file=src_vocab_file,
					    tgt_vocab_file=tgt_vocab_file,
					    merges_file=merges_file,
					)

SCREAMING_SNAKE_CASE							:List[str]							 =				FSMTConfig(
    langs=['ru', 'en'],
    src_vocab_size=1000,
    tgt_vocab_size=1000,
    d_model=4,
    encoder_layers=1,
    decoder_layers=1,
    encoder_ffn_dim=4,
    decoder_ffn_dim=4,
    encoder_attention_heads=1,
    decoder_attention_heads=1,
)

SCREAMING_SNAKE_CASE							:Tuple							 =				FSMTForConditionalGeneration(config)
print(f'''num of params {tiny_model.num_parameters()}''')

# Test
SCREAMING_SNAKE_CASE							:List[str]							 =				tokenizer(['Making tiny model'], return_tensors='pt')
SCREAMING_SNAKE_CASE							:str							 =				tiny_model(**batch)

print('test output:', len(outputs.logits[0]))

# Save
tiny_model.half()  # makes it smaller
tiny_model.save_pretrained(mname_tiny)
tokenizer.save_pretrained(mname_tiny)

print(f'''Generated {mname_tiny}''')

# Upload
# transformers-cli upload tiny-wmt19-en-ru








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      lowercase__      (     ):


					'''simple docstring'''


					UpperCAmelCase_    :      Tuple            =						10
					UpperCAmelCase_    :      Tuple            =						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'  ),
					    }  )
					UpperCAmelCase_    :      Tuple            =						datasets.Dataset.from_dict(
					    {
					        'tokens': [['foo'] * 5] * n,
					        'labels': [[1] * 5] * n,
					        'answers': [{'answer_start': [97], 'text': ['1976']}] * 10,
					        'id': list(range(__snake_case  )  ),
					    }     ,       features=__snake_case     ,       )
					return dataset




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Optional[Any]     ,       __snake_case    :							List[str]  ):


					'''simple docstring'''


					UpperCAmelCase_    :      str            =						str(tmp_path_factory.mktemp('data'  ) / 'file.arrow'  )
					dataset.map(cache_file_name=__snake_case  )
					return filename


# FILE_CONTENT + files


__UpperCAmelCase								=						'\\n    Text data.\n    Second line of data.'




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Optional[Any]  ):


					'''simple docstring'''


					UpperCAmelCase_    :      Optional[int]            =						tmp_path_factory.mktemp('data'  ) / 'file.txt'
					UpperCAmelCase_    :      Tuple            =						FILE_CONTENT
					with open(__snake_case     ,       'w'  ) as f:
										f.write(__snake_case  )
					return filename




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							List[str]  ):


					'''simple docstring'''


					import bza

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




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Any  ):


					'''simple docstring'''


					import gzip

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




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Dict  ):


					'''simple docstring'''


					if datasets.config.LZ4_AVAILABLE:
										import lza.frame

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




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Tuple     ,       __snake_case    :							List[Any]  ):


					'''simple docstring'''


					if datasets.config.PY7ZR_AVAILABLE:
										import pyazr

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




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							List[str]     ,       __snake_case    :							List[Any]  ):


					'''simple docstring'''


					import tarfile

					UpperCAmelCase_    :      Any            =						tmp_path_factory.mktemp('data'  ) / 'file.txt.tar'
					with tarfile.TarFile(__snake_case     ,       'w'  ) as f:
										f.add(__snake_case     ,       arcname=os.path.basename(__snake_case  )  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							str  ):


					'''simple docstring'''


					import lzma

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




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Optional[int]     ,       __snake_case    :							Optional[Any]  ):


					'''simple docstring'''


					import zipfile

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




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Optional[Any]  ):


					'''simple docstring'''


					if datasets.config.ZSTANDARD_AVAILABLE:
										import zstandard as zstd

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




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Any  ):


					'''simple docstring'''


					UpperCAmelCase_    :      Union[str, Any]            =						tmp_path_factory.mktemp('data'  ) / 'file.xml'
					UpperCAmelCase_    :      List[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(__snake_case     ,       'w'  ) as f:
										f.write(__snake_case  )
					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      lowercase__      (     ):


					'''simple docstring'''


					return DATA_DICT_OF_LISTS




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							int  ):


					'''simple docstring'''


					UpperCAmelCase_    :      List[Any]            =						datasets.Dataset.from_dict(__snake_case  )
					UpperCAmelCase_    :      Optional[Any]            =						str(tmp_path_factory.mktemp('data'  ) / 'dataset.arrow'  )
					dataset.map(cache_file_name=__snake_case  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							List[Any]  ):


					'''simple docstring'''


					UpperCAmelCase_    :      Optional[int]            =						str(tmp_path_factory.mktemp('data'  ) / 'dataset.sqlite'  )
					with contextlib.closing(sqlitea.connect(__snake_case  )  ) as con:
										UpperCAmelCase_    :      List[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      lowercase__      (     __snake_case    :							Union[str, Any]  ):


					'''simple docstring'''


					UpperCAmelCase_    :      Optional[Any]            =						str(tmp_path_factory.mktemp('data'  ) / 'dataset.csv'  )
					with open(__snake_case     ,       'w'     ,       newline=''  ) as f:
										UpperCAmelCase_    :      Tuple            =						csv.DictWriter(__snake_case     ,       fieldnames=['col_1', 'col_2', 'col_3']  )
										writer.writeheader()
										for item in DATA:
															writer.writerow(__snake_case  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Optional[Any]  ):


					'''simple docstring'''


					UpperCAmelCase_    :      Tuple            =						str(tmp_path_factory.mktemp('data'  ) / 'dataset2.csv'  )
					with open(__snake_case     ,       'w'     ,       newline=''  ) as f:
										UpperCAmelCase_    :      Optional[Any]            =						csv.DictWriter(__snake_case     ,       fieldnames=['col_1', 'col_2', 'col_3']  )
										writer.writeheader()
										for item in DATA:
															writer.writerow(__snake_case  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							str     ,       __snake_case    :							Any  ):


					'''simple docstring'''


					import bza

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




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							List[str]     ,       __snake_case    :							Tuple     ,       __snake_case    :							Optional[Any]  ):


					'''simple docstring'''


					UpperCAmelCase_    :      List[Any]            =						tmp_path_factory.mktemp('data'  ) / 'dataset.csv.zip'
					with zipfile.ZipFile(__snake_case     ,       'w'  ) as f:
										f.write(__snake_case     ,       arcname=os.path.basename(__snake_case  )  )
										f.write(__snake_case     ,       arcname=os.path.basename(__snake_case  )  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							str     ,       __snake_case    :							Optional[int]     ,       __snake_case    :							Tuple  ):


					'''simple docstring'''


					UpperCAmelCase_    :      List[Any]            =						tmp_path_factory.mktemp('data'  ) / 'dataset.csv.zip'
					with zipfile.ZipFile(__snake_case     ,       'w'  ) as f:
										f.write(__snake_case     ,       arcname=os.path.basename(csv_path.replace('.csv'     ,       '.CSV'  )  )  )
										f.write(__snake_case     ,       arcname=os.path.basename(csva_path.replace('.csv'     ,       '.CSV'  )  )  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Tuple     ,       __snake_case    :							int     ,       __snake_case    :							str  ):


					'''simple docstring'''


					UpperCAmelCase_    :      Optional[Any]            =						tmp_path_factory.mktemp('data'  ) / 'dataset_with_dir.csv.zip'
					with zipfile.ZipFile(__snake_case     ,       'w'  ) as f:
										f.write(__snake_case     ,       arcname=os.path.join('main_dir'     ,       os.path.basename(__snake_case  )  )  )
										f.write(__snake_case     ,       arcname=os.path.join('main_dir'     ,       os.path.basename(__snake_case  )  )  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Union[str, Any]  ):


					'''simple docstring'''


					UpperCAmelCase_    :      int            =						str(tmp_path_factory.mktemp('data'  ) / 'dataset.parquet'  )
					UpperCAmelCase_    :      Dict            =						pa.schema(
					    {
					        'col_1': pa.string(),
					        'col_2': pa.intaa(),
					        'col_3': pa.floataa(),
					    }  )
					with open(__snake_case     ,       'wb'  ) as f:
										UpperCAmelCase_    :      List[Any]            =						pq.ParquetWriter(__snake_case     ,       schema=__snake_case  )
										UpperCAmelCase_    :      Any            =						pa.Table.from_pydict({k: [DATA[i][k] for i in range(len(__snake_case  )  )] for k in DATA[0]}     ,       schema=__snake_case  )
										writer.write_table(__snake_case  )
										writer.close()
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Union[str, Any]  ):


					'''simple docstring'''


					UpperCAmelCase_    :      Tuple            =						str(tmp_path_factory.mktemp('data'  ) / 'dataset.json'  )
					UpperCAmelCase_    :      Optional[int]            =						{'data': DATA}
					with open(__snake_case     ,       'w'  ) as f:
										json.dump(__snake_case     ,       __snake_case  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							List[Any]  ):


					'''simple docstring'''


					UpperCAmelCase_    :      Tuple            =						str(tmp_path_factory.mktemp('data'  ) / 'dataset.json'  )
					UpperCAmelCase_    :      Tuple            =						{'data': DATA_DICT_OF_LISTS}
					with open(__snake_case     ,       'w'  ) as f:
										json.dump(__snake_case     ,       __snake_case  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Optional[Any]  ):


					'''simple docstring'''


					UpperCAmelCase_    :      Dict            =						str(tmp_path_factory.mktemp('data'  ) / 'dataset.jsonl'  )
					with open(__snake_case     ,       'w'  ) as f:
										for item in DATA:
															f.write(json.dumps(__snake_case  ) + '\n'  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							str  ):


					'''simple docstring'''


					UpperCAmelCase_    :      Union[str, Any]            =						str(tmp_path_factory.mktemp('data'  ) / 'dataset2.jsonl'  )
					with open(__snake_case     ,       'w'  ) as f:
										for item in DATA:
															f.write(json.dumps(__snake_case  ) + '\n'  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							int  ):


					'''simple docstring'''


					UpperCAmelCase_    :      int            =						str(tmp_path_factory.mktemp('data'  ) / 'dataset_312.jsonl'  )
					with open(__snake_case     ,       'w'  ) as f:
										for item in DATA_312:
															f.write(json.dumps(__snake_case  ) + '\n'  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							str  ):


					'''simple docstring'''


					UpperCAmelCase_    :      Optional[int]            =						str(tmp_path_factory.mktemp('data'  ) / 'dataset-str.jsonl'  )
					with open(__snake_case     ,       'w'  ) as f:
										for item in DATA_STR:
															f.write(json.dumps(__snake_case  ) + '\n'  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Dict     ,       __snake_case    :							Dict  ):


					'''simple docstring'''


					import gzip

					UpperCAmelCase_    :      Union[str, Any]            =						str(tmp_path_factory.mktemp('data'  ) / 'dataset.txt.gz'  )
					with open(__snake_case     ,       'rb'  ) as orig_file:
										with gzip.open(__snake_case     ,       'wb'  ) as zipped_file:
															zipped_file.writelines(__snake_case  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							int     ,       __snake_case    :							Any  ):


					'''simple docstring'''


					import gzip

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




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Optional[Any]     ,       __snake_case    :							Dict     ,       __snake_case    :							Optional[int]  ):


					'''simple docstring'''


					UpperCAmelCase_    :      int            =						tmp_path_factory.mktemp('data'  ) / 'dataset.jsonl.zip'
					with zipfile.ZipFile(__snake_case     ,       'w'  ) as f:
										f.write(__snake_case     ,       arcname=os.path.basename(__snake_case  )  )
										f.write(__snake_case     ,       arcname=os.path.basename(__snake_case  )  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Optional[Any]     ,       __snake_case    :							str     ,       __snake_case    :							Dict     ,       __snake_case    :							Union[str, Any]  ):


					'''simple docstring'''


					UpperCAmelCase_    :      str            =						tmp_path_factory.mktemp('data'  ) / 'dataset_nested.jsonl.zip'
					with zipfile.ZipFile(__snake_case     ,       'w'  ) as f:
										f.write(__snake_case     ,       arcname=os.path.join('nested'     ,       os.path.basename(__snake_case  )  )  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Dict     ,       __snake_case    :							Union[str, Any]     ,       __snake_case    :							Tuple  ):


					'''simple docstring'''


					UpperCAmelCase_    :      Optional[int]            =						tmp_path_factory.mktemp('data'  ) / 'dataset_with_dir.jsonl.zip'
					with zipfile.ZipFile(__snake_case     ,       'w'  ) as f:
										f.write(__snake_case     ,       arcname=os.path.join('main_dir'     ,       os.path.basename(__snake_case  )  )  )
										f.write(__snake_case     ,       arcname=os.path.join('main_dir'     ,       os.path.basename(__snake_case  )  )  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Tuple     ,       __snake_case    :							str     ,       __snake_case    :							Union[str, Any]  ):


					'''simple docstring'''


					UpperCAmelCase_    :      List[Any]            =						tmp_path_factory.mktemp('data'  ) / 'dataset.jsonl.tar'
					with tarfile.TarFile(__snake_case     ,       'w'  ) as f:
										f.add(__snake_case     ,       arcname=os.path.basename(__snake_case  )  )
										f.add(__snake_case     ,       arcname=os.path.basename(__snake_case  )  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							str     ,       __snake_case    :							Any     ,       __snake_case    :							Any     ,       __snake_case    :							List[Any]  ):


					'''simple docstring'''


					UpperCAmelCase_    :      List[Any]            =						tmp_path_factory.mktemp('data'  ) / 'dataset_nested.jsonl.tar'
					with tarfile.TarFile(__snake_case     ,       'w'  ) as f:
										f.add(__snake_case     ,       arcname=os.path.join('nested'     ,       os.path.basename(__snake_case  )  )  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							List[Any]  ):


					'''simple docstring'''


					UpperCAmelCase_    :      Any            =						['0', '1', '2', '3']
					UpperCAmelCase_    :      Dict            =						str(tmp_path_factory.mktemp('data'  ) / 'dataset.txt'  )
					with open(__snake_case     ,       'w'  ) as f:
										for item in data:
															f.write(item + '\n'  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							List[Any]  ):


					'''simple docstring'''


					UpperCAmelCase_    :      Optional[Any]            =						['0', '1', '2', '3']
					UpperCAmelCase_    :      Optional[int]            =						str(tmp_path_factory.mktemp('data'  ) / 'dataset2.txt'  )
					with open(__snake_case     ,       'w'  ) as f:
										for item in data:
															f.write(item + '\n'  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Tuple  ):


					'''simple docstring'''


					UpperCAmelCase_    :      Dict            =						['0', '1', '2', '3']
					UpperCAmelCase_    :      List[str]            =						tmp_path_factory.mktemp('data'  ) / 'dataset.abc'
					with open(__snake_case     ,       'w'  ) as f:
										for item in data:
															f.write(item + '\n'  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Any     ,       __snake_case    :							Union[str, Any]     ,       __snake_case    :							List[Any]  ):


					'''simple docstring'''


					UpperCAmelCase_    :      List[Any]            =						tmp_path_factory.mktemp('data'  ) / 'dataset.text.zip'
					with zipfile.ZipFile(__snake_case     ,       'w'  ) as f:
										f.write(__snake_case     ,       arcname=os.path.basename(__snake_case  )  )
										f.write(__snake_case     ,       arcname=os.path.basename(__snake_case  )  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Dict     ,       __snake_case    :							str     ,       __snake_case    :							Any  ):


					'''simple docstring'''


					UpperCAmelCase_    :      Union[str, Any]            =						tmp_path_factory.mktemp('data'  ) / 'dataset_with_dir.text.zip'
					with zipfile.ZipFile(__snake_case     ,       'w'  ) as f:
										f.write(__snake_case     ,       arcname=os.path.join('main_dir'     ,       os.path.basename(__snake_case  )  )  )
										f.write(__snake_case     ,       arcname=os.path.join('main_dir'     ,       os.path.basename(__snake_case  )  )  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Union[str, Any]     ,       __snake_case    :							str     ,       __snake_case    :							Optional[int]  ):


					'''simple docstring'''


					UpperCAmelCase_    :      Union[str, Any]            =						tmp_path_factory.mktemp('data'  ) / 'dataset.ext.zip'
					with zipfile.ZipFile(__snake_case     ,       'w'  ) as f:
										f.write(__snake_case     ,       arcname=os.path.basename('unsupported.ext'  )  )
										f.write(__snake_case     ,       arcname=os.path.basename('unsupported_2.ext'  )  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Dict  ):


					'''simple docstring'''


					UpperCAmelCase_    :      Tuple            =						'\n'.join(['First', 'Second\u2029with Unicode new line', 'Third']  )
					UpperCAmelCase_    :      Dict            =						str(tmp_path_factory.mktemp('data'  ) / 'dataset_with_unicode_new_lines.txt'  )
					with open(__snake_case     ,       'w'     ,       encoding='utf-8'  ) as f:
										f.write(__snake_case  )
					return path




@pytest.fixture(scope='session'  )
def      lowercase__      (     ):


					'''simple docstring'''


					return os.path.join('tests'     ,       'features'     ,       'data'     ,       'test_image_rgb.jpg'  )




@pytest.fixture(scope='session'  )
def      lowercase__      (     ):


					'''simple docstring'''


					return os.path.join('tests'     ,       'features'     ,       'data'     ,       'test_audio_44100.wav'  )




@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							str     ,       __snake_case    :							List[str]  ):


					'''simple docstring'''


					UpperCAmelCase_    :      Optional[Any]            =						tmp_path_factory.mktemp('data'  ) / 'dataset.img.zip'
					with zipfile.ZipFile(__snake_case     ,       'w'  ) as f:
										f.write(__snake_case     ,       arcname=os.path.basename(__snake_case  )  )
										f.write(__snake_case     ,       arcname=os.path.basename(__snake_case  ).replace('.jpg'     ,       '2.jpg'  )  )
					return path






@pytest.fixture(scope='session'  )
def      lowercase__      (     __snake_case    :							Any  ):


					'''simple docstring'''


					UpperCAmelCase_    :      Optional[Any]            =						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






