





from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union

import pyarrow as pa


if TYPE_CHECKING:
						from .features import FeatureType

@dataclass
class  __A       :
				__A								=			42
				__A								=			None
				# Automatically constructed
				__A								=			"""dict"""
				__A								=			None
				__A								=			field(default="""Translation"""      ,   init=a      ,   repr=a      )


				def __call__(						self							):
								return pa.struct({lang: pa.string() for lang in sorted(self.languages							)}							)


				def _snake_case    (						self							):
								from .features import Value

								return {k: Value("""string"""							) for k in sorted(self.languages							)}




@dataclass
class  __A       :
				__A								=			None
				__A								=			None
				__A								=			None
				# Automatically constructed
				__A								=			"""dict"""
				__A								=			None
				__A								=			field(default="""TranslationVariableLanguages"""      ,   init=a      ,   repr=a      )


				def _snake_case    (						self							):
								lowerCamelCase			=sorted(set(self.languages							)							) if self.languages else None
								lowerCamelCase			=len(self.languages							) if self.languages else None


				def __call__(						self							):
								return pa.struct({"""language""": pa.list_(pa.string()							), """translation""": pa.list_(pa.string()							)}							)


				def _snake_case    (						self				,	UpperCAmelCase_							):
								lowerCamelCase			=set(self.languages							)
								if self.languages and set(UpperCAmelCase_							) - lang_set:
												raise ValueError(
												    f"""Some languages in example ({", ".join(sorted(set(UpperCAmelCase_							) - lang_set							)							)}) are not in valid set ({", ".join(UpperCAmelCase_							)})."""							)

								# Convert dictionary into tuples, splitting out cases where there are
								# multiple translations for a single language.
								lowerCamelCase			=[]
								for lang, text in translation_dict.items():
												if isinstance(UpperCAmelCase_				,	UpperCAmelCase_							):
																translation_tuples.append((lang, text)							)
												else:
																translation_tuples.extend([(lang, el) for el in text]							)

        # Ensure translations are in ascending order by language code.
								lowerCamelCase	,					lowerCamelCase			=zip(*sorted(UpperCAmelCase_							)							)

								return {"language": languages, "translation": translations}


				def _snake_case    (						self							):
								from .features import Sequence, Value

								return {
								    "language": Sequence(Value("""string"""							)							),
								    "translation": Sequence(Value("""string"""							)							),
								}












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        _lowercase   (  _UpperCAmelCase			)  ->					str:
				lowerCamelCase			=[]
				for line in lines:
								lowerCamelCase			=re.sub(r"""#.*"""     , """"""     , _UpperCAmelCase			)  # remove comments
								if line:
												filtered_lines.append(_UpperCAmelCase			)
				lowerCamelCase			="""\n""".join(_UpperCAmelCase			)

				# Make a hash from all this code
				lowerCamelCase			=full_str.encode("""utf-8"""			)
				return shaaaa(_UpperCAmelCase			).hexdigest()


# get importable module names and hash for caching
UpperCAmelCase__  :     str   			={
    '''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
UpperCAmelCase__  :     Tuple   			={
    '''.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})
UpperCAmelCase__  :     Optional[Any]   			={'''imagefolder''', '''audiofolder'''}

# Used to filter data files based on extensions given a module name
UpperCAmelCase__  :     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''')





