"""simple docstring"""




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_      :
					UpperCamelCase_ :	Optional[int]			=    42
					UpperCamelCase_ :	List[Any]			=    None
					# Automatically constructed
					UpperCamelCase_ :	Optional[int]			=    "dict"
					UpperCamelCase_ :	int			=    None
					UpperCamelCase_ :	Optional[Any]			=    field(default="Translation" ,		init=_A ,		repr=_A			)




					def __call__(	self						:     Union[str, Any]     ):
							return pa.struct({lang: pa.string() for lang in sorted(self.languages     )}     )




					def 						_SCREAMING_SNAKE_CASE						(	self						:     Optional[int]     ):
							from .features import Value

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

@dataclass
class       a_      :
					UpperCamelCase_ :	Optional[int]			=    None
					UpperCamelCase_ :	Dict			=    None
					UpperCamelCase_ :	List[Any]			=    None
					# Automatically constructed
					UpperCamelCase_ :	int			=    "dict"
					UpperCamelCase_ :	Tuple			=    None
					UpperCamelCase_ :	List[str]			=    field(default="TranslationVariableLanguages" ,		init=_A ,		repr=_A			)




					def 						_SCREAMING_SNAKE_CASE						(	self						:     Union[str, Any]     ):
							lowerCAmelCase__        =   sorted(set(self.languages     )     ) if self.languages else None
							lowerCAmelCase__        =   len(self.languages     ) if self.languages else None




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




					def 						_SCREAMING_SNAKE_CASE						(	self						:     Optional[int]  ,						snake_case__						:     Optional[int]     ):
							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 						_SCREAMING_SNAKE_CASE						(	self						:     List[str]     ):
							from .features import Sequence, Value

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







"""simple docstring"""




import os
import unittest

from transformers import LayoutLMTokenizer, LayoutLMTokenizerFast
from transformers.models.layoutlm.tokenization_layoutlm import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin

@require_tokenizers
class       a_      (     __UpperCamelCase ,		unittest.TestCase			):
					UpperCamelCase_ :	str			=    LayoutLMTokenizer
					UpperCamelCase_ :	List[Any]			=    LayoutLMTokenizerFast
					UpperCamelCase_ :	Dict			=    True
					UpperCamelCase_ :	Any			=    True




					def 						_SCREAMING_SNAKE_CASE						(	self						:     Tuple     ):
							super().setUp()

							lowerCAmelCase__        =   [
							    """[UNK]""",
							    """[CLS]""",
							    """[SEP]""",
							    """want""",
							    """##want""",
							    """##ed""",
							    """wa""",
							    """un""",
							    """runn""",
							    """##ing""",
							    """,""",
							    """low""",
							    """lowest""",
							]
							lowerCAmelCase__        =   os.path.join(self.tmpdirname  ,						VOCAB_FILES_NAMES["""vocab_file"""]     )
							with open(self.vocab_file  ,						"""w"""  ,						encoding="""utf-8"""     ) as vocab_writer:
									vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]     )     )




					def 						_SCREAMING_SNAKE_CASE						(	self						:     int  ,						**snake_case__						:     Union[str, Any]     ):
							return LayoutLMTokenizer.from_pretrained(self.tmpdirname  ,						**snake_case__     )




					def 						_SCREAMING_SNAKE_CASE						(	self						:     List[Any]  ,						snake_case__						:     Tuple     ):
							lowerCAmelCase__        =   """UNwant\u00E9d,running"""
							lowerCAmelCase__        =   """unwanted, running"""
							return input_text, output_text




					def 						_SCREAMING_SNAKE_CASE						(	self						:     Optional[Any]     ):
							lowerCAmelCase__        =   self.tokenizer_class(self.vocab_file     )

							lowerCAmelCase__        =   tokenizer.tokenize("""UNwant\u00E9d,running"""     )
							self.assertListEqual(snake_case__  ,						["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""]     )
							self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case__     )  ,						[7, 4, 5, 10, 8, 9]     )




					def 						_SCREAMING_SNAKE_CASE						(	self						:     List[str]     ):
							pass




