




'''simple docstring'''

import inspect
import re
from hashlib import shaaaa
from typing import Dict, List

from .arrow import arrow
from .audiofolder import audiofolder
from .csv import csv
from .imagefolder import imagefolder
from .json import json
from .pandas import pandas
from .parquet import parquet
from .sql import sql  # noqa F401
from .text import text


def 		__magic_name__    (	__UpperCAmelCase	)		->					str:

					'''simple docstring'''

					snake_case_									=				[]
					for line in lines:
										snake_case_									=				re.sub(r'''#.*''',      '''''',      lowerCAmelCase_	)  # remove comments
										if line:
															filtered_lines.append(lowerCAmelCase_	)
					snake_case_									=				'''\n'''.join(lowerCAmelCase_	)

					# Make a hash from all this code
					snake_case_									=				full_str.encode('''utf-8'''	)
					return shaaaa(lowerCAmelCase_	).hexdigest()


# get importable module names and hash for caching
a  :				Optional[Any]									=  {
    """csv""": (csv.__name__, _hash_python_lines(inspect.getsource(csv).splitlines())),
    """json""": (json.__name__, _hash_python_lines(inspect.getsource(json).splitlines())),
    """pandas""": (pandas.__name__, _hash_python_lines(inspect.getsource(pandas).splitlines())),
    """parquet""": (parquet.__name__, _hash_python_lines(inspect.getsource(parquet).splitlines())),
    """arrow""": (arrow.__name__, _hash_python_lines(inspect.getsource(arrow).splitlines())),
    """text""": (text.__name__, _hash_python_lines(inspect.getsource(text).splitlines())),
    """imagefolder""": (imagefolder.__name__, _hash_python_lines(inspect.getsource(imagefolder).splitlines())),
    """audiofolder""": (audiofolder.__name__, _hash_python_lines(inspect.getsource(audiofolder).splitlines())),
}

# Used to infer the module to use based on the data files extensions
a  :				Union[str, Any]									=  {
    """.csv""": ("""csv""", {}),
    """.tsv""": ("""csv""", {"""sep""": """\t"""}),
    """.json""": ("""json""", {}),
    """.jsonl""": ("""json""", {}),
    """.parquet""": ("""parquet""", {}),
    """.arrow""": ("""arrow""", {}),
    """.txt""": ("""text""", {}),
}
_EXTENSION_TO_MODULE.update({ext: ('imagefolder', {}) for ext in imagefolder.ImageFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext.upper(): ('imagefolder', {}) for ext in imagefolder.ImageFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext: ('audiofolder', {}) for ext in audiofolder.AudioFolder.EXTENSIONS})
_EXTENSION_TO_MODULE.update({ext.upper(): ('audiofolder', {}) for ext in audiofolder.AudioFolder.EXTENSIONS})
a  :				List[str]									=  {"""imagefolder""", """audiofolder"""}

# Used to filter data files based on extensions given a module name
a  :				Dict[str, List[str]]									=  {}
for _ext, (_module, _) in _EXTENSION_TO_MODULE.items():
							_MODULE_TO_EXTENSIONS.setdefault(_module, []).append(_ext)

_MODULE_TO_EXTENSIONS["imagefolder"].append('.zip')

_MODULE_TO_EXTENSIONS["audiofolder"].append('.zip')





import warnings

from ...utils import logging
from .image_processing_chinese_clip import ChineseCLIPImageProcessor


_UpperCAmelCase	:     Any   =logging.get_logger(__name__)







class  snake_case__(							UpperCAmelCase__							):







						'''simple docstring'''




						def __init__( self      ,  *__lowercase      ,  **__lowercase							)    ->			None:
										warnings.warn(
										    '''The class ChineseCLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
										    ''' Please use ChineseCLIPImageProcessor instead.'''      ,  __lowercase      ,  )
										super().__init__(*__lowercase      ,  **__lowercase							)