
import os
import unittest

from transformers import MobileBertTokenizer, MobileBertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english





@require_tokenizers
class 							UpperCAmelCase      (  __SCREAMING_SNAKE_CASE			,			unittest.TestCase  ):




	'''simple docstring'''





	snake_case_					    =     MobileBertTokenizer
	snake_case_					    =     MobileBertTokenizerFast
	snake_case_					    =     True
	snake_case_					    =     True
	snake_case_					    =     filter_non_english
	snake_case_					    =     "google/mobilebert-uncased"






	def 				UpperCamelCase_  (       self					: Optional[Any] ):
					super().setUp()

					__A   			= [
					    "[UNK]",
					    "[CLS]",
					    "[SEP]",
					    "[PAD]",
					    "[MASK]",
					    "want",
					    "##want",
					    "##ed",
					    "wa",
					    "un",
					    "runn",
					    "##ing",
					    ",",
					    "low",
					    "lowest",
					]
					__A   			= 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] ) )

					__A   			= [
					    (tokenizer_def[0], self.pre_trained_model_path, tokenizer_def[2])  # else the 'google/' prefix is stripped
					    for tokenizer_def in self.tokenizers_list
					]






	def 				UpperCamelCase_  (       self					: Tuple							,A					: List[str] ):
					__A   			= "UNwant\u00E9d,running"
					__A   			= "unwanted, running"
					return input_text, output_text






	def 				UpperCamelCase_  (       self					: str ):
					__A   			= self.tokenizer_class(self.vocab_file )

					__A   			= tokenizer.tokenize("UNwant\u00E9d,running" )
					self.assertListEqual(A							,["un", "##want", "##ed", ",", "runn", "##ing"] )
					self.assertListEqual(tokenizer.convert_tokens_to_ids(A )							,[9, 6, 7, 12, 10, 11] )






	def 				UpperCamelCase_  (       self					: List[Any] ):
					if not self.test_rust_tokenizer:
									return

					__A   			= self.get_tokenizer()
					__A   			= self.get_rust_tokenizer()

					__A   			= "UNwant\u00E9d,running"

					__A   			= tokenizer.tokenize(A )
					__A   			= rust_tokenizer.tokenize(A )
					self.assertListEqual(A							,A )

					__A   			= tokenizer.encode(A							,add_special_tokens=A )
					__A   			= rust_tokenizer.encode(A							,add_special_tokens=A )
					self.assertListEqual(A							,A )

					__A   			= self.get_rust_tokenizer()
					__A   			= tokenizer.encode(A )
					__A   			= rust_tokenizer.encode(A )
					self.assertListEqual(A							,A )

					# With lower casing
					__A   			= self.get_tokenizer(do_lower_case=A )
					__A   			= self.get_rust_tokenizer(do_lower_case=A )

					__A   			= "UNwant\u00E9d,running"

					__A   			= tokenizer.tokenize(A )
					__A   			= rust_tokenizer.tokenize(A )
					self.assertListEqual(A							,A )

					__A   			= tokenizer.encode(A							,add_special_tokens=A )
					__A   			= rust_tokenizer.encode(A							,add_special_tokens=A )
					self.assertListEqual(A							,A )

					__A   			= self.get_rust_tokenizer()
					__A   			= tokenizer.encode(A )
					__A   			= rust_tokenizer.encode(A )
					self.assertListEqual(A							,A )






	def 				UpperCamelCase_  (       self					: List[str] ):
					__A   			= BasicTokenizer()

					self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz" )							,["ah", "\u535A", "\u63A8", "zz"] )






	def 				UpperCamelCase_  (       self					: int ):
					__A   			= BasicTokenizer(do_lower_case=A )

					self.assertListEqual(
					    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  " )							,["hello", "!", "how", "are", "you", "?"] )
					self.assertListEqual(tokenizer.tokenize("H\u00E9llo" )							,["hello"] )






	def 				UpperCamelCase_  (       self					: Tuple ):
					__A   			= BasicTokenizer(do_lower_case=A							,strip_accents=A )

					self.assertListEqual(
					    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  " )							,["hällo", "!", "how", "are", "you", "?"] )
					self.assertListEqual(tokenizer.tokenize("H\u00E9llo" )							,["h\u00E9llo"] )






	def 				UpperCamelCase_  (       self					: List[Any] ):
					__A   			= BasicTokenizer(do_lower_case=A							,strip_accents=A )

					self.assertListEqual(
					    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  " )							,["hallo", "!", "how", "are", "you", "?"] )
					self.assertListEqual(tokenizer.tokenize("H\u00E9llo" )							,["hello"] )






	def 				UpperCamelCase_  (       self					: str ):
					__A   			= BasicTokenizer(do_lower_case=A )

					self.assertListEqual(
					    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  " )							,["hallo", "!", "how", "are", "you", "?"] )
					self.assertListEqual(tokenizer.tokenize("H\u00E9llo" )							,["hello"] )






	def 				UpperCamelCase_  (       self					: List[str] ):
					__A   			= BasicTokenizer(do_lower_case=A )

					self.assertListEqual(
					    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  " )							,["HeLLo", "!", "how", "Are", "yoU", "?"] )






	def 				UpperCamelCase_  (       self					: Tuple ):
					__A   			= BasicTokenizer(do_lower_case=A							,strip_accents=A )

					self.assertListEqual(
					    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  " )							,["HäLLo", "!", "how", "Are", "yoU", "?"] )






	def 				UpperCamelCase_  (       self					: Union[str, Any] ):
					__A   			= BasicTokenizer(do_lower_case=A							,strip_accents=A )

					self.assertListEqual(
					    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  " )							,["HaLLo", "!", "how", "Are", "yoU", "?"] )






	def 				UpperCamelCase_  (       self					: str ):
					__A   			= BasicTokenizer(do_lower_case=A							,never_split=["[UNK]"] )

					self.assertListEqual(
					    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU? [UNK]" )							,["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"] )






	def 				UpperCamelCase_  (       self					: Union[str, Any] ):
					__A   			= ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

					__A   			= {}
					for i, token in enumerate(A ):
									__A   			= i
					__A   			= WordpieceTokenizer(vocab=A							,unk_token="[UNK]" )

					self.assertListEqual(tokenizer.tokenize("" )							,[] )

					self.assertListEqual(tokenizer.tokenize("unwanted running" )							,["un", "##want", "##ed", "runn", "##ing"] )

					self.assertListEqual(tokenizer.tokenize("unwantedX running" )							,["[UNK]", "runn", "##ing"] )






	def 				UpperCamelCase_  (       self					: Union[str, Any] ):
					self.assertTrue(_is_whitespace(" " ) )
					self.assertTrue(_is_whitespace("\t" ) )
					self.assertTrue(_is_whitespace("\r" ) )
					self.assertTrue(_is_whitespace("\n" ) )
					self.assertTrue(_is_whitespace("\u00A0" ) )

					self.assertFalse(_is_whitespace("A" ) )
					self.assertFalse(_is_whitespace("-" ) )






	def 				UpperCamelCase_  (       self					: Union[str, Any] ):
					self.assertTrue(_is_control("\u0005" ) )

					self.assertFalse(_is_control("A" ) )
					self.assertFalse(_is_control(" " ) )
					self.assertFalse(_is_control("\t" ) )
					self.assertFalse(_is_control("\r" ) )






	def 				UpperCamelCase_  (       self					: Optional[int] ):
					self.assertTrue(_is_punctuation("-" ) )
					self.assertTrue(_is_punctuation("$" ) )
					self.assertTrue(_is_punctuation("`" ) )
					self.assertTrue(_is_punctuation("." ) )

					self.assertFalse(_is_punctuation("A" ) )
					self.assertFalse(_is_punctuation(" " ) )






	def 				UpperCamelCase_  (       self					: List[Any] ):
					__A   			= self.get_tokenizer()
					__A   			= self.get_rust_tokenizer()

					# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
					self.assertListEqual([tokenizer.tokenize(A ) for t in ["Test", "\xad", "test"]]							,[["[UNK]"], [], ["[UNK]"]] )

					self.assertListEqual(
					    [rust_tokenizer.tokenize(A ) for t in ["Test", "\xad", "test"]]							,[["[UNK]"], [], ["[UNK]"]] )






	@slow
	def 				UpperCamelCase_  (       self					: Any ):
					__A   			= self.tokenizer_class.from_pretrained("google/mobilebert-uncased" )

					__A   			= tokenizer.encode("sequence builders"							,add_special_tokens=A )
					__A   			= tokenizer.encode("multi-sequence build"							,add_special_tokens=A )

					__A   			= tokenizer.build_inputs_with_special_tokens(A )
					__A   			= tokenizer.build_inputs_with_special_tokens(A							,A )

					assert encoded_sentence == [1_01] + text + [1_02]
					assert encoded_pair == [1_01] + text + [1_02] + text_a + [1_02]






	def 				UpperCamelCase_  (       self					: str ):
					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})''' ):
													__A   			= self.rust_tokenizer_class.from_pretrained(A							,**A )

													__A   			= f'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
													__A   			= tokenizer_r.encode_plus(
													    A							,return_attention_mask=A							,return_token_type_ids=A							,return_offsets_mapping=A							,add_special_tokens=A							,)

													__A   			= tokenizer_r.do_lower_case if hasattr(A							,"do_lower_case" ) else False
													__A   			= (
													    [
													        ((0, 0), tokenizer_r.cls_token),
													        ((0, 1), "A"),
													        ((1, 2), ","),
													        ((3, 5), "na"),
													        ((5, 6), "##ï"),
													        ((6, 8), "##ve"),
													        ((9, 15), tokenizer_r.mask_token),
													        ((16, 21), "Allen"),
													        ((21, 23), "##NL"),
													        ((23, 24), "##P"),
													        ((25, 33), "sentence"),
													        ((33, 34), "."),
													        ((0, 0), tokenizer_r.sep_token),
													    ]
													    if not do_lower_case
													    else [
													        ((0, 0), tokenizer_r.cls_token),
													        ((0, 1), "a"),
													        ((1, 2), ","),
													        ((3, 8), "naive"),
													        ((9, 15), tokenizer_r.mask_token),
													        ((16, 21), "allen"),
													        ((21, 23), "##nl"),
													        ((23, 24), "##p"),
													        ((25, 33), "sentence"),
													        ((33, 34), "."),
													        ((0, 0), tokenizer_r.sep_token),
													    ]
													)

													self.assertEqual(
													    [e[1] for e in expected_results]							,tokenizer_r.convert_ids_to_tokens(tokens["input_ids"] ) )
													self.assertEqual([e[0] for e in expected_results]							,tokens["offset_mapping"] )







	def 				UpperCamelCase_  (       self					: Optional[int] ):
					__A   			= ["的", "人", "有"]
					__A   			= "".join(A )
					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})''' ):
													__A   			= True
													__A   			= self.tokenizer_class.from_pretrained(A							,**A )
													__A   			= self.rust_tokenizer_class.from_pretrained(A							,**A )

													__A   			= tokenizer_p.encode(A							,add_special_tokens=A )
													__A   			= tokenizer_r.encode(A							,add_special_tokens=A )

													__A   			= tokenizer_r.convert_ids_to_tokens(A )
													__A   			= tokenizer_p.convert_ids_to_tokens(A )

													# it is expected that each Chinese character is not preceded by "##"
													self.assertListEqual(A							,A )
													self.assertListEqual(A							,A )

													__A   			= False
													__A   			= self.rust_tokenizer_class.from_pretrained(A							,**A )
													__A   			= self.tokenizer_class.from_pretrained(A							,**A )

													__A   			= tokenizer_r.encode(A							,add_special_tokens=A )
													__A   			= tokenizer_p.encode(A							,add_special_tokens=A )

													__A   			= tokenizer_r.convert_ids_to_tokens(A )
													__A   			= tokenizer_p.convert_ids_to_tokens(A )

													# it is expected that only the first Chinese character is not preceded by "##".
													__A   			= [
													    f'''##{token}''' if idx != 0 else token for idx, token in enumerate(A )
													]
													self.assertListEqual(A							,A )
													self.assertListEqual(A							,A )


import os
import re
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


SCREAMING_SNAKE_CASE							:List[Any]							 =				logging.get_logger(__name__)

SCREAMING_SNAKE_CASE							:int							 =				{'vocab_file': 'spiece.model'}

SCREAMING_SNAKE_CASE							:Union[str, Any]							 =				{
    'vocab_file': {
        'google/bigbird-roberta-base': 'https://huggingface.co/google/bigbird-roberta-base/resolve/main/spiece.model',
        'google/bigbird-roberta-large': (
            'https://huggingface.co/google/bigbird-roberta-large/resolve/main/spiece.model'
        ),
        'google/bigbird-base-trivia-itc': (
            'https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/spiece.model'
        ),
    }
}

SCREAMING_SNAKE_CASE							:int							 =				{
    'google/bigbird-roberta-base': 4096,
    'google/bigbird-roberta-large': 4096,
    'google/bigbird-base-trivia-itc': 4096,
}





class 							UpperCAmelCase      (  __SCREAMING_SNAKE_CASE  ):




	'''simple docstring'''





	snake_case_					    =     VOCAB_FILES_NAMES
	snake_case_					    =     PRETRAINED_VOCAB_FILES_MAP
	snake_case_					    =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	snake_case_					    =     ["input_ids", "attention_mask"]
	snake_case_					    =     []






	def __init__(       self					: Any							,A					: List[str]							,A					: str="<unk>"							,A					: int="<s>"							,A					: Union[str, Any]="</s>"							,A					: List[str]="<pad>"							,A					: int="[SEP]"							,A					: Optional[Any]="[MASK]"							,A					: Tuple="[CLS]"							,A					: Optional[Dict[str, Any]] = None							,**A					: Any							,):
					__A   			= AddedToken(A							,lstrip=A							,rstrip=A ) if isinstance(A							,A ) else bos_token
					__A   			= AddedToken(A							,lstrip=A							,rstrip=A ) if isinstance(A							,A ) else eos_token
					__A   			= AddedToken(A							,lstrip=A							,rstrip=A ) if isinstance(A							,A ) else unk_token
					__A   			= AddedToken(A							,lstrip=A							,rstrip=A ) if isinstance(A							,A ) else pad_token
					__A   			= AddedToken(A							,lstrip=A							,rstrip=A ) if isinstance(A							,A ) else cls_token
					__A   			= AddedToken(A							,lstrip=A							,rstrip=A ) if isinstance(A							,A ) else sep_token

					# Mask token behave like a normal word, i.e. include the space before it
					__A   			= AddedToken(A							,lstrip=A							,rstrip=A ) if isinstance(A							,A ) else mask_token

					__A   			= {} if sp_model_kwargs is None else sp_model_kwargs

					super().__init__(
					    bos_token=A							,eos_token=A							,unk_token=A							,pad_token=A							,sep_token=A							,mask_token=A							,cls_token=A							,sp_model_kwargs=self.sp_model_kwargs							,**A							,)

					__A   			= vocab_file

					__A   			= spm.SentencePieceProcessor(**self.sp_model_kwargs )
					self.sp_model.Load(A )






	@property
	def 				UpperCamelCase_  (       self					: List[str] ):
					return self.sp_model.get_piece_size()






	def 				UpperCamelCase_  (       self					: Optional[Any] ):
					__A   			= {self.convert_ids_to_tokens(A ): i for i in range(self.vocab_size )}
					vocab.update(self.added_tokens_encoder )
					return vocab






	def __getstate__(       self					: Optional[int] ):
					__A   			= self.__dict__.copy()
					__A   			= None
					return state






	def __setstate__(       self					: str							,A					: Optional[Any] ):
					__A   			= d

					# for backward compatibility
					if not hasattr(self							,"sp_model_kwargs" ):
									__A   			= {}

					__A   			= spm.SentencePieceProcessor(**self.sp_model_kwargs )
					self.sp_model.Load(self.vocab_file )






	def 				UpperCamelCase_  (       self					: Any							,A					: str ):
					return self.sp_model.encode(A							,out_type=A )






	def 				UpperCamelCase_  (       self					: List[str]							,A					: Tuple ):
					return self.sp_model.piece_to_id(A )






	def 				UpperCamelCase_  (       self					: List[Any]							,A					: Tuple ):
					__A   			= self.sp_model.IdToPiece(A )
					return token






	def 				UpperCamelCase_  (       self					: List[Any]							,A					: int ):
					__A   			= []
					__A   			= ""
					__A   			= False
					for token in tokens:
									# make sure that special tokens are not decoded using sentencepiece model
									if token in self.all_special_tokens:
													if not prev_is_special:
																	out_string += " "
													out_string += self.sp_model.decode(A ) + token
													__A   			= True
													__A   			= []
									else:
													current_sub_tokens.append(A )
													__A   			= False
					out_string += self.sp_model.decode(A )
					return out_string.strip()






	def 				UpperCamelCase_  (       self					: Tuple							,A					: List[int]							,A					: bool = False							,A					: bool = None							,A					: bool = True							,**A					: Union[str, Any]							,):
					__A   			= kwargs.pop("use_source_tokenizer"							,A )

					__A   			= self.convert_ids_to_tokens(A							,skip_special_tokens=A )

					# To avoid mixing byte-level and unicode for byte-level BPT
					# we need to build string separately for added tokens and byte-level tokens
					# cf. https://github.com/huggingface/transformers/issues/1133
					__A   			= []
					__A   			= []
					for token in filtered_tokens:
									if skip_special_tokens and token in self.all_special_ids:
													continue
									if token in self.added_tokens_encoder:
													if current_sub_text:
																	sub_texts.append(self.convert_tokens_to_string(A ) )
																	__A   			= []
													sub_texts.append(A )
									else:
													current_sub_text.append(A )
					if current_sub_text:
									sub_texts.append(self.convert_tokens_to_string(A ) )

					# Mimic the behavior of the Rust tokenizer:
					# No space before [MASK] and [SEP]
					if spaces_between_special_tokens:
									__A   			= re.sub(R" (\[(MASK|SEP)\])"							,R"\1"							," ".join(A ) )
					else:
									__A   			= "".join(A )

					__A   			= (
					    clean_up_tokenization_spaces
					    if clean_up_tokenization_spaces is not None
					    else self.clean_up_tokenization_spaces
					)
					if clean_up_tokenization_spaces:
									__A   			= self.clean_up_tokenization(A )
									return clean_text
					else:
									return text






	def 				UpperCamelCase_  (       self					: str							,A					: str							,A					: Optional[str] = None ):
					if not os.path.isdir(A ):
									logger.error(f'''Vocabulary path ({save_directory}) should be a directory''' )
									return
					__A   			= os.path.join(
					    A							,(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"] )

					if os.path.abspath(self.vocab_file ) != os.path.abspath(A ) and os.path.isfile(self.vocab_file ):
									copyfile(self.vocab_file							,A )
					elif not os.path.isfile(self.vocab_file ):
									with open(A							,"wb" ) as fi:
													__A   			= self.sp_model.serialized_model_proto()
													fi.write(A )

					return (out_vocab_file,)






	def 				UpperCamelCase_  (       self					: Dict							,A					: List[int]							,A					: Optional[List[int]] = None ):
					if token_ids_a is None:
									return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
					__A   			= [self.cls_token_id]
					__A   			= [self.sep_token_id]
					return cls + token_ids_a + sep + token_ids_a + sep






	def 				UpperCamelCase_  (       self					: Optional[int]							,A					: List[int]							,A					: Optional[List[int]] = None							,A					: bool = False ):
					if already_has_special_tokens:
									return super().get_special_tokens_mask(
									    token_ids_a=A							,token_ids_a=A							,already_has_special_tokens=A )

					if token_ids_a is None:
									return [1] + ([0] * len(A )) + [1]
					return [1] + ([0] * len(A )) + [1] + ([0] * len(A )) + [1]







	def 				UpperCamelCase_  (       self					: Any							,A					: List[int]							,A					: Optional[List[int]] = None ):
					__A   			= [self.sep_token_id]
					__A   			= [self.cls_token_id]
					if token_ids_a is None:
									return len(cls + token_ids_a + sep ) * [0]
					return len(cls + token_ids_a + sep ) * [0] + len(token_ids_a + sep ) * [1]
