

'''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 						SCREAMING_SNAKE_CASE(  )    ->    Tuple:
	UpperCAmelCase_		:      Dict       	=					1_0
	UpperCAmelCase_		:      List[str]       	=					datasets.Features(
	    {
	        'tokens': datasets.Sequence(datasets.Value('string'  )  ),
	        'labels': datasets.Sequence(datasets.ClassLabel(names=['negative', 'positive']  )  ),
	        'answers': datasets.Sequence(
	            {
	                'text': datasets.Value('string'  ),
	                'answer_start': datasets.Value('int32'  ),
	            }  ),
	        'id': datasets.Value('int64'  ),
	    }  )
	UpperCAmelCase_		:      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 						SCREAMING_SNAKE_CASE(  UpperCamelCase   ,UpperCamelCase  )    ->    int:
	UpperCAmelCase_		:      int       	=					str(tmp_path_factory.mktemp('data'  ) / 'file.arrow'  )
	dataset.map(cache_file_name=UpperCamelCase  )
	return filename


# FILE_CONTENT + files


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







@pytest.fixture(scope='session'  )
def 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    List[str]:
	UpperCAmelCase_		:      Optional[int]       	=					tmp_path_factory.mktemp('data'  ) / 'file.txt'
	UpperCAmelCase_		:      Tuple       	=					FILE_CONTENT
	with open(UpperCamelCase   ,'w'  ) as f:
		f.write(UpperCamelCase  )
	return filename







@pytest.fixture(scope='session'  )
def 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    int:
	import bza

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







@pytest.fixture(scope='session'  )
def 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    List[str]:
	import gzip

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







@pytest.fixture(scope='session'  )
def 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    List[Any]:
	if datasets.config.LZ4_AVAILABLE:
		import lza.frame

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







@pytest.fixture(scope='session'  )
def 						SCREAMING_SNAKE_CASE(  UpperCamelCase   ,UpperCamelCase  )    ->    Optional[Any]:
	if datasets.config.PY7ZR_AVAILABLE:
		import pyazr

		UpperCAmelCase_		:      List[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 						SCREAMING_SNAKE_CASE(  UpperCamelCase   ,UpperCamelCase  )    ->    Dict:
	import tarfile

	UpperCAmelCase_		:      Any       	=					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 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    Optional[int]:
	import lzma

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







@pytest.fixture(scope='session'  )
def 						SCREAMING_SNAKE_CASE(  UpperCamelCase   ,UpperCamelCase  )    ->    Union[str, Any]:
	import zipfile

	UpperCAmelCase_		:      List[Any]       	=					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 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    Tuple:
	if datasets.config.ZSTANDARD_AVAILABLE:
		import zstandard as zstd

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







@pytest.fixture(scope='session'  )
def 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    List[str]:
	UpperCAmelCase_		:      List[str]       	=					tmp_path_factory.mktemp('data'  ) / 'file.xml'
	UpperCAmelCase_		:      str       	=					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(UpperCamelCase   ,'w'  ) as f:
		f.write(UpperCamelCase  )
	return filename


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

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

lowerCAmelCase__										= [
    {"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 						SCREAMING_SNAKE_CASE(  )    ->    Optional[Any]:
	return DATA_DICT_OF_LISTS







@pytest.fixture(scope='session'  )
def 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    Any:
	UpperCAmelCase_		:      int       	=					datasets.Dataset.from_dict(UpperCamelCase  )
	UpperCAmelCase_		:      str       	=					str(tmp_path_factory.mktemp('data'  ) / 'dataset.arrow'  )
	dataset.map(cache_file_name=UpperCamelCase  )
	return path







@pytest.fixture(scope='session'  )
def 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    Union[str, Any]:
	UpperCAmelCase_		:      Tuple       	=					str(tmp_path_factory.mktemp('data'  ) / 'dataset.sqlite'  )
	with contextlib.closing(sqlitea.connect(UpperCamelCase  )  ) as con:
		UpperCAmelCase_		:      List[str]       	=					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 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    Tuple:
	UpperCAmelCase_		:      Tuple       	=					str(tmp_path_factory.mktemp('data'  ) / 'dataset.csv'  )
	with open(UpperCamelCase   ,'w'   ,newline=''  ) as f:
		UpperCAmelCase_		:      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 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    Optional[Any]:
	UpperCAmelCase_		:      List[Any]       	=					str(tmp_path_factory.mktemp('data'  ) / 'dataset2.csv'  )
	with open(UpperCamelCase   ,'w'   ,newline=''  ) as f:
		UpperCAmelCase_		:      List[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 						SCREAMING_SNAKE_CASE(  UpperCamelCase   ,UpperCamelCase  )    ->    Any:
	import bza

	UpperCAmelCase_		:      Any       	=					tmp_path_factory.mktemp('data'  ) / 'dataset.csv.bz2'
	with open(UpperCamelCase   ,'rb'  ) as f:
		UpperCAmelCase_		:      Optional[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 						SCREAMING_SNAKE_CASE(  UpperCamelCase   ,UpperCamelCase   ,UpperCamelCase  )    ->    List[Any]:
	UpperCAmelCase_		:      Union[str, Any]       	=					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 						SCREAMING_SNAKE_CASE(  UpperCamelCase   ,UpperCamelCase   ,UpperCamelCase  )    ->    Any:
	UpperCAmelCase_		:      str       	=					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 						SCREAMING_SNAKE_CASE(  UpperCamelCase   ,UpperCamelCase   ,UpperCamelCase  )    ->    Optional[Any]:
	UpperCAmelCase_		:      Optional[Any]       	=					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 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    List[str]:
	UpperCAmelCase_		:      Dict       	=					str(tmp_path_factory.mktemp('data'  ) / 'dataset.parquet'  )
	UpperCAmelCase_		:      int       	=					pa.schema(
	    {
	        'col_1': pa.string(),
	        'col_2': pa.intaa(),
	        'col_3': pa.floataa(),
	    }  )
	with open(UpperCamelCase   ,'wb'  ) as f:
		UpperCAmelCase_		:      Tuple       	=					pq.ParquetWriter(UpperCamelCase   ,schema=UpperCamelCase  )
		UpperCAmelCase_		:      Dict       	=					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 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    List[Any]:
	UpperCAmelCase_		:      Any       	=					str(tmp_path_factory.mktemp('data'  ) / 'dataset.json'  )
	UpperCAmelCase_		:      Optional[Any]       	=					{'data': DATA}
	with open(UpperCamelCase   ,'w'  ) as f:
		json.dump(UpperCamelCase   ,UpperCamelCase  )
	return path







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







@pytest.fixture(scope='session'  )
def 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    Optional[Any]:
	UpperCAmelCase_		:      List[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 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    Union[str, Any]:
	UpperCAmelCase_		:      Optional[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 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    int:
	UpperCAmelCase_		:      Optional[int]       	=					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 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    Union[str, Any]:
	UpperCAmelCase_		:      int       	=					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 						SCREAMING_SNAKE_CASE(  UpperCamelCase   ,UpperCamelCase  )    ->    str:
	import gzip

	UpperCAmelCase_		:      int       	=					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 						SCREAMING_SNAKE_CASE(  UpperCamelCase   ,UpperCamelCase  )    ->    Any:
	import gzip

	UpperCAmelCase_		:      Optional[Any]       	=					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 						SCREAMING_SNAKE_CASE(  UpperCamelCase   ,UpperCamelCase   ,UpperCamelCase  )    ->    Optional[Any]:
	UpperCAmelCase_		:      Any       	=					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 						SCREAMING_SNAKE_CASE(  UpperCamelCase   ,UpperCamelCase   ,UpperCamelCase   ,UpperCamelCase  )    ->    str:
	UpperCAmelCase_		:      Optional[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 						SCREAMING_SNAKE_CASE(  UpperCamelCase   ,UpperCamelCase   ,UpperCamelCase  )    ->    Union[str, Any]:
	UpperCAmelCase_		:      Optional[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 						SCREAMING_SNAKE_CASE(  UpperCamelCase   ,UpperCamelCase   ,UpperCamelCase  )    ->    List[str]:
	UpperCAmelCase_		:      int       	=					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 						SCREAMING_SNAKE_CASE(  UpperCamelCase   ,UpperCamelCase   ,UpperCamelCase   ,UpperCamelCase  )    ->    List[Any]:
	UpperCAmelCase_		:      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 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    Tuple:
	UpperCAmelCase_		:      Tuple       	=					['0', '1', '2', '3']
	UpperCAmelCase_		:      str       	=					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 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    Optional[int]:
	UpperCAmelCase_		:      Optional[int]       	=					['0', '1', '2', '3']
	UpperCAmelCase_		:      List[Any]       	=					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 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    int:
	UpperCAmelCase_		:      Tuple       	=					['0', '1', '2', '3']
	UpperCAmelCase_		:      int       	=					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 						SCREAMING_SNAKE_CASE(  UpperCamelCase   ,UpperCamelCase   ,UpperCamelCase  )    ->    List[Any]:
	UpperCAmelCase_		:      Optional[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 						SCREAMING_SNAKE_CASE(  UpperCamelCase   ,UpperCamelCase   ,UpperCamelCase  )    ->    Any:
	UpperCAmelCase_		:      List[str]       	=					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 						SCREAMING_SNAKE_CASE(  UpperCamelCase   ,UpperCamelCase   ,UpperCamelCase  )    ->    Union[str, Any]:
	UpperCAmelCase_		:      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 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    Union[str, Any]:
	UpperCAmelCase_		:      Optional[Any]       	=					'\n'.join(['First', 'Second\u2029with Unicode new line', 'Third']  )
	UpperCAmelCase_		:      Optional[int]       	=					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 						SCREAMING_SNAKE_CASE(  )    ->    List[str]:
	return os.path.join('tests'   ,'features'   ,'data'   ,'test_image_rgb.jpg'  )







@pytest.fixture(scope='session'  )
def 						SCREAMING_SNAKE_CASE(  )    ->    List[str]:
	return os.path.join('tests'   ,'features'   ,'data'   ,'test_audio_44100.wav'  )







@pytest.fixture(scope='session'  )
def 						SCREAMING_SNAKE_CASE(  UpperCamelCase   ,UpperCamelCase  )    ->    List[str]:
	UpperCAmelCase_		:      int       	=					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 						SCREAMING_SNAKE_CASE(  UpperCamelCase  )    ->    List[Any]:
	UpperCAmelCase_		:      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' * 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









'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase__										= {
    "configuration_clap": [
        "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
        "ClapAudioConfig",
        "ClapConfig",
        "ClapTextConfig",
    ],
    "processing_clap": ["ClapProcessor"],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase__										= [
						    "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "ClapModel",
						    "ClapPreTrainedModel",
						    "ClapTextModel",
						    "ClapTextModelWithProjection",
						    "ClapAudioModel",
						    "ClapAudioModelWithProjection",
						]
						lowerCAmelCase__										= ["ClapFeatureExtractor"]

if TYPE_CHECKING:
						from .configuration_clap import (
						    CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
						    ClapAudioConfig,
						    ClapConfig,
						    ClapTextConfig,
						)
						from .processing_clap import ClapProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .feature_extraction_clap import ClapFeatureExtractor
												from .modeling_clap import (
												    CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
												    ClapAudioModel,
												    ClapAudioModelWithProjection,
												    ClapModel,
												    ClapPreTrainedModel,
												    ClapTextModel,
												    ClapTextModelWithProjection,
												)


else:
						import sys

						lowerCAmelCase__										= _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






