



'''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     (      )			->      Any:
		_a     :      Dict        =							10
		_a     :      Union[str, 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'  ),
		    }  )
		_a     :      Optional[int]        =							datasets.Dataset.from_dict(
		    {
		        'tokens': [['foo'] * 5] * n,
		        'labels': [[1] * 5] * n,
		        'answers': [{'answer_start': [97], 'text': ['1976']}] * 10,
		        'id': list(range(lowerCAmelCase_  )  ),
		    }						,			features=lowerCAmelCase_						,			)
		return dataset



@pytest.fixture(scope='session'  )
def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_  )			->      int:
		_a     :      List[Any]        =							str(tmp_path_factory.mktemp('data'  ) / 'file.arrow'  )
		dataset.map(cache_file_name=lowerCAmelCase_  )
		return filename


# FILE_CONTENT + files


__lowerCAmelCase									=   '''\
    Text data.
    Second line of data.'''



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



@pytest.fixture(scope='session'  )
def      __lowerCamelCase     (      lowerCAmelCase_  )			->      Union[str, Any]:
		import bza

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



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

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



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

				_a     :      List[str]        =							tmp_path_factory.mktemp('data'  ) / 'file.txt.lz4'
				_a     :      Optional[int]        =							bytes(lowerCAmelCase_						,			'utf-8'  )
				with lza.frame.open(lowerCAmelCase_						,			'wb'  ) as f:
						f.write(lowerCAmelCase_  )
				return path



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

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



@pytest.fixture(scope='session'  )
def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_  )			->      Dict:
		import tarfile

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



@pytest.fixture(scope='session'  )
def      __lowerCamelCase     (      lowerCAmelCase_  )			->      Union[str, Any]:
		import lzma

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



@pytest.fixture(scope='session'  )
def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_  )			->      List[str]:
		import zipfile

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



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

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



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


__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      __lowerCamelCase     (      )			->      List[str]:
		return DATA_DICT_OF_LISTS



@pytest.fixture(scope='session'  )
def      __lowerCamelCase     (      lowerCAmelCase_  )			->      int:
		_a     :      Dict        =							datasets.Dataset.from_dict(lowerCAmelCase_  )
		_a     :      str        =							str(tmp_path_factory.mktemp('data'  ) / 'dataset.arrow'  )
		dataset.map(cache_file_name=lowerCAmelCase_  )
		return path



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



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



@pytest.fixture(scope='session'  )
def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_  )			->      Dict:
		import bza

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



@pytest.fixture(scope='session'  )
def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_						,			lowerCAmelCase_  )			->      Dict:
		_a     :      int        =							tmp_path_factory.mktemp('data'  ) / 'dataset.csv.zip'
		with zipfile.ZipFile(lowerCAmelCase_						,			'w'  ) as f:
				f.write(lowerCAmelCase_						,			arcname=os.path.basename(lowerCAmelCase_  )  )
				f.write(lowerCAmelCase_						,			arcname=os.path.basename(lowerCAmelCase_  )  )
		return path



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



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



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



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



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



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



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



@pytest.fixture(scope='session'  )
def      __lowerCamelCase     (      lowerCAmelCase_  )			->      Dict:
		_a     :      int        =							str(tmp_path_factory.mktemp('data'  ) / 'dataset_312.jsonl'  )
		with open(lowerCAmelCase_						,			'w'  ) as f:
				for item in DATA_312:
						f.write(json.dumps(lowerCAmelCase_  ) + '\n'  )
		return path



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



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

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



@pytest.fixture(scope='session'  )
def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_  )			->      str:
		import gzip

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



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



@pytest.fixture(scope='session'  )
def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_						,			lowerCAmelCase_						,			lowerCAmelCase_  )			->      Optional[Any]:
		_a     :      List[Any]        =							tmp_path_factory.mktemp('data'  ) / 'dataset_nested.jsonl.zip'
		with zipfile.ZipFile(lowerCAmelCase_						,			'w'  ) as f:
				f.write(lowerCAmelCase_						,			arcname=os.path.join('nested'						,			os.path.basename(lowerCAmelCase_  )  )  )
		return path



@pytest.fixture(scope='session'  )
def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_						,			lowerCAmelCase_  )			->      int:
		_a     :      Tuple        =							tmp_path_factory.mktemp('data'  ) / 'dataset_with_dir.jsonl.zip'
		with zipfile.ZipFile(lowerCAmelCase_						,			'w'  ) as f:
				f.write(lowerCAmelCase_						,			arcname=os.path.join('main_dir'						,			os.path.basename(lowerCAmelCase_  )  )  )
				f.write(lowerCAmelCase_						,			arcname=os.path.join('main_dir'						,			os.path.basename(lowerCAmelCase_  )  )  )
		return path



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



@pytest.fixture(scope='session'  )
def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_						,			lowerCAmelCase_						,			lowerCAmelCase_  )			->      Optional[int]:
		_a     :      Any        =							tmp_path_factory.mktemp('data'  ) / 'dataset_nested.jsonl.tar'
		with tarfile.TarFile(lowerCAmelCase_						,			'w'  ) as f:
				f.add(lowerCAmelCase_						,			arcname=os.path.join('nested'						,			os.path.basename(lowerCAmelCase_  )  )  )
		return path



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



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



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



@pytest.fixture(scope='session'  )
def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_						,			lowerCAmelCase_  )			->      List[str]:
		_a     :      Dict        =							tmp_path_factory.mktemp('data'  ) / 'dataset.text.zip'
		with zipfile.ZipFile(lowerCAmelCase_						,			'w'  ) as f:
				f.write(lowerCAmelCase_						,			arcname=os.path.basename(lowerCAmelCase_  )  )
				f.write(lowerCAmelCase_						,			arcname=os.path.basename(lowerCAmelCase_  )  )
		return path



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



@pytest.fixture(scope='session'  )
def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_						,			lowerCAmelCase_  )			->      Dict:
		_a     :      List[str]        =							tmp_path_factory.mktemp('data'  ) / 'dataset.ext.zip'
		with zipfile.ZipFile(lowerCAmelCase_						,			'w'  ) as f:
				f.write(lowerCAmelCase_						,			arcname=os.path.basename('unsupported.ext'  )  )
				f.write(lowerCAmelCase_						,			arcname=os.path.basename('unsupported_2.ext'  )  )
		return path



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



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



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



@pytest.fixture(scope='session'  )
def      __lowerCamelCase     (      lowerCAmelCase_						,			lowerCAmelCase_  )			->      List[str]:
		_a     :      Dict        =							tmp_path_factory.mktemp('data'  ) / 'dataset.img.zip'
		with zipfile.ZipFile(lowerCAmelCase_						,			'w'  ) as f:
				f.write(lowerCAmelCase_						,			arcname=os.path.basename(lowerCAmelCase_  )  )
				f.write(lowerCAmelCase_						,			arcname=os.path.basename(lowerCAmelCase_  ).replace('.jpg'						,			'2.jpg'  )  )
		return path



@pytest.fixture(scope='session'  )
def      __lowerCamelCase     (      lowerCAmelCase_  )			->      str:
		_a     :      Tuple        =							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












from typing import Dict

import numpy as np
import torch

from . import residue_constants as rc
from .tensor_utils import tensor_tree_map, tree_map






def   a			(						lowerCamelCase_				):






				'''simple docstring'''
				lowercase__    =			[]
				lowercase__    =			[]
				lowercase__    =			[]

				for rt in rc.restypes:
								lowercase__    =			rc.restype_name_to_atomaa_names[rc.restype_atoa[rt]]
								restype_atomaa_to_atomaa_list.append([(rc.atom_order[name] if name else 0) for name in atom_names]				)
								lowercase__    =			{name: i for i, name in enumerate(lowerCamelCase_				)}
								restype_atomaa_to_atomaa_list.append(
								    [(atom_name_to_idxaa[name] if name in atom_name_to_idxaa else 0) for name in rc.atom_types]				)

								restype_atomaa_mask_list.append([(1.0 if name else 0.0) for name in atom_names]				)

				# Add dummy mapping for restype 'UNK'
				restype_atomaa_to_atomaa_list.append([0] * 14				)
				restype_atomaa_to_atomaa_list.append([0] * 37				)
				restype_atomaa_mask_list.append([0.0] * 14				)

				lowercase__    =			torch.tensor(
				    lowerCamelCase_		,   dtype=torch.intaa		,   device=protein['''aatype'''].device		,   )
				lowercase__    =			torch.tensor(
				    lowerCamelCase_		,   dtype=torch.intaa		,   device=protein['''aatype'''].device		,   )
				lowercase__    =			torch.tensor(
				    lowerCamelCase_		,   dtype=torch.floataa		,   device=protein['''aatype'''].device		,   )
				lowercase__    =			protein['''aatype'''].to(torch.long				)

				# create the mapping for (residx, atom14) --> atom37, i.e. an array
				# with shape (num_res, 14) containing the atom37 indices for this protein
				lowercase__    =			restype_atomaa_to_atomaa[protein_aatype]
				lowercase__    =			restype_atomaa_mask[protein_aatype]

				lowercase__    =			residx_atomaa_mask
				lowercase__    =			residx_atomaa_to_atomaa.long()

				# create the gather indices for mapping back
				lowercase__    =			restype_atomaa_to_atomaa[protein_aatype]
				lowercase__    =			residx_atomaa_to_atomaa.long()

				# create the corresponding mask
				lowercase__    =			torch.zeros([21, 37]		,   dtype=torch.floataa		,   device=protein['''aatype'''].device				)
				for restype, restype_letter in enumerate(rc.restypes				):
								lowercase__    =			rc.restype_atoa[restype_letter]
								lowercase__    =			rc.residue_atoms[restype_name]
								for atom_name in atom_names:
												lowercase__    =			rc.atom_order[atom_name]
												lowercase__    =			1

				lowercase__    =			restype_atomaa_mask[protein_aatype]
				lowercase__    =			residx_atomaa_mask

				return protein






def   a			(						lowerCamelCase_				):






				'''simple docstring'''
				lowercase__    =			tree_map(lambda lowerCamelCase_				: torch.tensor(lowerCamelCase_		,   device=batch['''aatype'''].device				)		,   lowerCamelCase_		,   np.ndarray				)
				lowercase__    =			tensor_tree_map(lambda lowerCamelCase_				: np.array(lowerCamelCase_				)		,   make_atomaa_masks(lowerCamelCase_				)				)
				return out




