




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

@pytest.fixture(scope='session'				)
def    UpperCAmelCase_				( __UpperCAmelCase		:      List[str]     ,     __UpperCAmelCase		:      Dict				)   ->					Tuple:
      SCREAMING_SNAKE_CASE_      		=     str(tmp_path_factory.mktemp('data'				) / 'file.arrow'				)
      dataset.map(cache_file_name=__UpperCAmelCase				)
      return filename


# FILE_CONTENT + files


lowerCamelCase__					:  Optional[Any]      							=				'\\n    Text data.\n    Second line of data.'

@pytest.fixture(scope='session'				)
def    UpperCAmelCase_				( __UpperCAmelCase		:      Dict				)   ->					str:
      SCREAMING_SNAKE_CASE_      		=     tmp_path_factory.mktemp('data'				) / 'file.txt'
      SCREAMING_SNAKE_CASE_      		=     FILE_CONTENT
      with open(__UpperCAmelCase     ,     'w'				) as f:
            f.write(__UpperCAmelCase				)
      return filename

@pytest.fixture(scope='session'				)
def    UpperCAmelCase_				( __UpperCAmelCase		:      str				)   ->					Any:
      import bza

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

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

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

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

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

@pytest.fixture(scope='session'				)
def    UpperCAmelCase_				( __UpperCAmelCase		:      str     ,     __UpperCAmelCase		:      List[str]				)   ->					List[Any]:
      if datasets.config.PY7ZR_AVAILABLE:
            import pyazr

            SCREAMING_SNAKE_CASE_      		=     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    UpperCAmelCase_				( __UpperCAmelCase		:      List[Any]     ,     __UpperCAmelCase		:      Union[str, Any]				)   ->					Optional[int]:
      import tarfile

      SCREAMING_SNAKE_CASE_      		=     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    UpperCAmelCase_				( __UpperCAmelCase		:      Union[str, Any]				)   ->					Optional[Any]:
      import lzma

      SCREAMING_SNAKE_CASE_      		=     tmp_path_factory.mktemp('data'				) / 'file.txt.xz'
      SCREAMING_SNAKE_CASE_      		=     bytes(__UpperCAmelCase     ,     'utf-8'				)
      with lzma.open(__UpperCAmelCase     ,     'wb'				) as f:
            f.write(__UpperCAmelCase				)
      return path

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

      SCREAMING_SNAKE_CASE_      		=     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    UpperCAmelCase_				( __UpperCAmelCase		:      List[Any]				)   ->					str:
      if datasets.config.ZSTANDARD_AVAILABLE:
            import zstandard as zstd

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

@pytest.fixture(scope='session'				)
def    UpperCAmelCase_				( __UpperCAmelCase		:      Union[str, Any]				)   ->					Any:
      SCREAMING_SNAKE_CASE_      		=     tmp_path_factory.mktemp('data'				) / 'file.xml'
      SCREAMING_SNAKE_CASE_      		=     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__					:  Dict      							=				[
    {'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__					:  Optional[Any]      							=				[
    {'col_1': '4', 'col_2': 4, 'col_3': 4.0},
    {'col_1': '5', 'col_2': 5, 'col_3': 5.0},
]
lowerCamelCase__					:  List[str]      							=				{
    'col_1': ['0', '1', '2', '3'],
    'col_2': [0, 1, 2, 3],
    'col_3': [0.0, 1.0, 2.0, 3.0],
}

lowerCamelCase__					:  str      							=				[
    {'col_3': 0.0, 'col_1': '0', 'col_2': 0},
    {'col_3': 1.0, 'col_1': '1', 'col_2': 1},
]

lowerCamelCase__					:  Union[str, 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    UpperCAmelCase_				( )   ->					Any:
      return DATA_DICT_OF_LISTS

@pytest.fixture(scope='session'				)
def    UpperCAmelCase_				( __UpperCAmelCase		:      str				)   ->					List[str]:
      SCREAMING_SNAKE_CASE_      		=     datasets.Dataset.from_dict(__UpperCAmelCase				)
      SCREAMING_SNAKE_CASE_      		=     str(tmp_path_factory.mktemp('data'				) / 'dataset.arrow'				)
      dataset.map(cache_file_name=__UpperCAmelCase				)
      return path

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

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

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

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

      SCREAMING_SNAKE_CASE_      		=     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    UpperCAmelCase_				( __UpperCAmelCase		:      int     ,     __UpperCAmelCase		:      Optional[int]				)   ->					Any:
      import gzip

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

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

@pytest.fixture(scope='session'				)
def    UpperCAmelCase_				( __UpperCAmelCase		:      Tuple     ,     __UpperCAmelCase		:      List[str]				)   ->					List[Any]:
      SCREAMING_SNAKE_CASE_      		=     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    UpperCAmelCase_				( __UpperCAmelCase		:      List[str]				)   ->					Dict:
      SCREAMING_SNAKE_CASE_      		=     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
'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__snake_case						  =		{
    """configuration_git""": ["""GIT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GitConfig""", """GitVisionConfig"""],
    """processing_git""": ["""GitProcessor"""],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       __snake_case						  =		[
           """GIT_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """GitForCausalLM""",
           """GitModel""",
           """GitPreTrainedModel""",
           """GitVisionModel""",
       ]

if TYPE_CHECKING:
       from .configuration_git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitVisionConfig
       from .processing_git import GitProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_git import (
                  GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  GitForCausalLM,
                  GitModel,
                  GitPreTrainedModel,
                  GitVisionModel,
              )

else:
       import sys

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

