




'''simple docstring'''







import hashlib
from typing import Union





def     lowerCamelCase_ (					SCREAMING_SNAKE_CASE__ :     Union[str, int, bytes]				)	->		bytes:
						if isinstance(SCREAMING_SNAKE_CASE__,     SCREAMING_SNAKE_CASE__				):
												# Data already in bytes, returns as it as
												return hash_data
						elif isinstance(SCREAMING_SNAKE_CASE__,     SCREAMING_SNAKE_CASE__				):
												# We keep the data as it as for it ot be later encoded to UTF-8
												# However replace `\\` with `/` for Windows compatibility
												UpperCAmelCase_     : Union[str, Any]         =					hash_data.replace('''\\''',     '''/'''				)
						elif isinstance(SCREAMING_SNAKE_CASE__,     SCREAMING_SNAKE_CASE__				):
												UpperCAmelCase_     : List[str]         =					str(SCREAMING_SNAKE_CASE__				)
						else:
												# If data is not of the required type, raise error
												raise InvalidKeyError(SCREAMING_SNAKE_CASE__				)

						return hash_data.encode('''utf-8'''				)


class    __a (lowerCamelCase       ):

							def __init__(							self							:       Optional[int]    ,       __magic_name__							:       Dict				)   ->    Union[str, Any]:







													"""simple docstring"""
													UpperCAmelCase_     : Union[str, Any]         =					'''\nFAILURE TO GENERATE DATASET: Invalid key type detected'''
													UpperCAmelCase_     : Any         =					F"""\nFound Key {hash_data} of type {type(__magic_name__				)}"""
													UpperCAmelCase_     : Optional[Any]         =					'''\nKeys should be either str, int or bytes type'''
													super().__init__(F"""{self.prefix}{self.err_msg}{self.suffix}"""				)





class    __a (lowerCamelCase       ):

							def __init__(							self							:       Any    ,       __magic_name__							:       Dict    ,       __magic_name__							:       Optional[Any]    ,       __magic_name__							:       str=""				)   ->    str:







													"""simple docstring"""
													UpperCAmelCase_     : Union[str, Any]         =					key
													UpperCAmelCase_     : List[str]         =					duplicate_key_indices
													UpperCAmelCase_     : Union[str, Any]         =					fix_msg
													UpperCAmelCase_     : Optional[int]         =					'''Found multiple examples generated with the same key'''
													if len(__magic_name__				) <= 20:
																			UpperCAmelCase_     : Dict         =					F"""\nThe examples at index {", ".join(__magic_name__				)} have the key {key}"""
													else:
																			UpperCAmelCase_     : str         =					F"""\nThe examples at index {", ".join(duplicate_key_indices[:20]				)}... ({len(__magic_name__				) - 20} more) have the key {key}"""
													UpperCAmelCase_     : str         =					'''\n''' + fix_msg if fix_msg else ''''''
													super().__init__(F"""{self.prefix}{self.err_msg}{self.suffix}"""				)





class    __a :

							def __init__(							self							:       List[str]    ,       __magic_name__							:       str				)   ->    Optional[Any]:







													"""simple docstring"""
													UpperCAmelCase_     : Optional[int]         =					hashlib.mda(_as_bytes(__magic_name__				)				)



							def       UpperCAmelCase__		(							self							:       Tuple    ,       __magic_name__							:       Union[str, int, bytes]				)   ->    int:







													"""simple docstring"""
													UpperCAmelCase_     : Optional[int]         =					self._split_mda.copy()
													UpperCAmelCase_     : Tuple         =					_as_bytes(__magic_name__				)
													mda.update(__magic_name__				)
													# Convert to integer with hexadecimal conversion
													return int(mda.hexdigest()    ,       16				)












'''simple docstring'''







from transformers import SqueezeBertTokenizer, SqueezeBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest


@require_tokenizers
class    __a (lowerCamelCase       ):
							__a   :				Any       =    SqueezeBertTokenizer
							__a   :				Dict       =    SqueezeBertTokenizerFast
							__a   :				Any       =    True

							def       UpperCAmelCase__		(							self							:       Union[str, Any]    ,       **__magic_name__							:       Dict				)   ->    int:







													"""simple docstring"""
													return SqueezeBertTokenizerFast.from_pretrained(self.tmpdirname    ,       **__magic_name__				)



							@slow
							def       UpperCAmelCase__		(							self							:       Union[str, Any]				)   ->    int:







													"""simple docstring"""
													UpperCAmelCase_     : List[str]         =					SqueezeBertTokenizer.from_pretrained('''squeezebert/squeezebert-mnli-headless'''				)

													UpperCAmelCase_     : Any         =					tokenizer.encode('''sequence builders'''    ,       add_special_tokens=__magic_name__				)
													UpperCAmelCase_     : Optional[Any]         =					tokenizer.encode('''multi-sequence build'''    ,       add_special_tokens=__magic_name__				)

													UpperCAmelCase_     : List[Any]         =					tokenizer.build_inputs_with_special_tokens(__magic_name__				)
													UpperCAmelCase_     : Any         =					tokenizer.build_inputs_with_special_tokens(__magic_name__    ,       __magic_name__				)

													assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
													assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
													    tokenizer.sep_token_id
													]





