


import os
import unittest

from transformers import BatchEncoding
from transformers.models.bert.tokenization_bert import (
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.models.prophetnet.tokenization_prophetnet import VOCAB_FILES_NAMES, ProphetNetTokenizer
from transformers.testing_utils import require_torch, slow

from ...test_tokenization_common import TokenizerTesterMixin


class      __lowerCAmelCase  (			a			,	unittest.TestCase       ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							ProphetNetTokenizer
  _SCREAMING_SNAKE_CASE		     =							False



  def        lowerCAmelCase__	(  self							:							List[Any]	) ->			List[Any]:




     """simple docstring"""
     super().setUp()

     snake_case_            =       [
         "[UNK]",
         "[CLS]",
         "[SEP]",
         "[PAD]",
         "[MASK]",
         "want",
         "##want",
         "##ed",
         "wa",
         "un",
         "runn",
         "##ing",
         ",",
         "low",
         "lowest",
     ]
     snake_case_            =       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        lowerCAmelCase__	(  self							:							Optional[Any]     ,					_lowerCAmelCase							:							Any	) ->			int:




     """simple docstring"""
     snake_case_            =       "UNwant\u00E9d,running"
     snake_case_            =       "unwanted, running"
     return input_text, output_text



  def        lowerCAmelCase__	(  self							:							Optional[Any]	) ->			str:




     """simple docstring"""
     snake_case_            =       self.tokenizer_class(self.vocab_file	)

     snake_case_            =       tokenizer.tokenize("UNwant\u00E9d,running"	)
     self.assertListEqual(_lowerCAmelCase     ,					["un", "##want", "##ed", ",", "runn", "##ing"]	)
     self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCAmelCase	)     ,					[9, 6, 7, 1_2, 1_0, 1_1]	)



  def        lowerCAmelCase__	(  self							:							Any	) ->			Any:




     """simple docstring"""
     snake_case_            =       BasicTokenizer()

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



  def        lowerCAmelCase__	(  self							:							Any	) ->			Any:




     """simple docstring"""
     snake_case_            =       BasicTokenizer(do_lower_case=_lowerCAmelCase	)

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



  def        lowerCAmelCase__	(  self							:							Union[str, Any]	) ->			Dict:




     """simple docstring"""
     snake_case_            =       BasicTokenizer(do_lower_case=_lowerCAmelCase     ,					strip_accents=_lowerCAmelCase	)

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



  def        lowerCAmelCase__	(  self							:							Optional[int]	) ->			Union[str, Any]:




     """simple docstring"""
     snake_case_            =       BasicTokenizer(do_lower_case=_lowerCAmelCase     ,					strip_accents=_lowerCAmelCase	)

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



  def        lowerCAmelCase__	(  self							:							Tuple	) ->			Tuple:




     """simple docstring"""
     snake_case_            =       BasicTokenizer(do_lower_case=_lowerCAmelCase	)

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



  def        lowerCAmelCase__	(  self							:							List[Any]	) ->			str:




     """simple docstring"""
     snake_case_            =       BasicTokenizer(do_lower_case=_lowerCAmelCase	)

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



  def        lowerCAmelCase__	(  self							:							List[str]	) ->			int:




     """simple docstring"""
     snake_case_            =       BasicTokenizer(do_lower_case=_lowerCAmelCase     ,					strip_accents=_lowerCAmelCase	)

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



  def        lowerCAmelCase__	(  self							:							List[str]	) ->			Tuple:




     """simple docstring"""
     snake_case_            =       BasicTokenizer(do_lower_case=_lowerCAmelCase     ,					strip_accents=_lowerCAmelCase	)

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



  def        lowerCAmelCase__	(  self							:							List[str]	) ->			Union[str, Any]:




     """simple docstring"""
     snake_case_            =       BasicTokenizer(do_lower_case=_lowerCAmelCase     ,					never_split=["[UNK]"]	)

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



  def        lowerCAmelCase__	(  self							:							Optional[Any]	) ->			Optional[Any]:




     """simple docstring"""
     snake_case_            =       ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

     snake_case_            =       {}
     for i, token in enumerate(_lowerCAmelCase	):
        snake_case_            =       i
     snake_case_            =       WordpieceTokenizer(vocab=_lowerCAmelCase     ,					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"]	)



  @require_torch
  def        lowerCAmelCase__	(  self							:							Union[str, Any]	) ->			Optional[Any]:




     """simple docstring"""
     snake_case_            =       self.tokenizer_class.from_pretrained("microsoft/prophetnet-large-uncased"	)

     snake_case_            =       ["A long paragraph for summarization.", "Another paragraph for summarization."]
     snake_case_            =       [1_0_3_7, 2_1_4_6, 2_0_4_2_3, 2_0_0_5, 7_6_8_0, 7_8_4_9, 3_9_8_9, 1_0_1_2, 1_0_2]
     snake_case_            =       tokenizer(_lowerCAmelCase     ,					padding=_lowerCAmelCase     ,					return_tensors="pt"	)
     self.assertIsInstance(_lowerCAmelCase     ,					_lowerCAmelCase	)
     snake_case_            =       list(batch.input_ids.numpy()[0]	)
     self.assertListEqual(_lowerCAmelCase     ,					_lowerCAmelCase	)

     self.assertEqual((2, 9)     ,					batch.input_ids.shape	)
     self.assertEqual((2, 9)     ,					batch.attention_mask.shape	)



  def        lowerCAmelCase__	(  self							:							Any	) ->			Tuple:




     """simple docstring"""
     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        lowerCAmelCase__	(  self							:							Dict	) ->			Tuple:




     """simple docstring"""
     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        lowerCAmelCase__	(  self							:							List[Any]	) ->			Union[str, Any]:




     """simple docstring"""
     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(" "	)	)



  @slow
  def        lowerCAmelCase__	(  self							:							Any	) ->			List[Any]:




     """simple docstring"""
     snake_case_            =       self.tokenizer_class.from_pretrained("microsoft/prophetnet-large-uncased"	)

     snake_case_            =       tokenizer.encode("sequence builders"     ,					add_special_tokens=_lowerCAmelCase	)
     snake_case_            =       tokenizer.encode("multi-sequence build"     ,					add_special_tokens=_lowerCAmelCase	)

     snake_case_            =       tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase	)
     snake_case_            =       tokenizer.build_inputs_with_special_tokens(_lowerCAmelCase     ,					_lowerCAmelCase	)

     assert encoded_sentence == text + [1_0_2]
     assert encoded_pair == text + [1_0_2] + text_a + [1_0_2]








import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_roberta import RobertaTokenizer


SCREAMING_SNAKE_CASE						:str			=  logging.get_logger(__name__)

SCREAMING_SNAKE_CASE						:Dict			=  {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

SCREAMING_SNAKE_CASE						:str			=  {
    '''vocab_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/vocab.json''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/vocab.json''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/vocab.json''',
        '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json''',
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/merges.txt''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/merges.txt''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/merges.txt''',
        '''roberta-base-openai-detector''': '''https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt''',
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt'''
        ),
    },
    '''tokenizer_file''': {
        '''roberta-base''': '''https://huggingface.co/roberta-base/resolve/main/tokenizer.json''',
        '''roberta-large''': '''https://huggingface.co/roberta-large/resolve/main/tokenizer.json''',
        '''roberta-large-mnli''': '''https://huggingface.co/roberta-large-mnli/resolve/main/tokenizer.json''',
        '''distilroberta-base''': '''https://huggingface.co/distilroberta-base/resolve/main/tokenizer.json''',
        '''roberta-base-openai-detector''': (
            '''https://huggingface.co/roberta-base-openai-detector/resolve/main/tokenizer.json'''
        ),
        '''roberta-large-openai-detector''': (
            '''https://huggingface.co/roberta-large-openai-detector/resolve/main/tokenizer.json'''
        ),
    },
}

SCREAMING_SNAKE_CASE						:Tuple			=  {
    '''roberta-base''': 5_12,
    '''roberta-large''': 5_12,
    '''roberta-large-mnli''': 5_12,
    '''distilroberta-base''': 5_12,
    '''roberta-base-openai-detector''': 5_12,
    '''roberta-large-openai-detector''': 5_12,
}


class      __lowerCAmelCase  (			a       ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							VOCAB_FILES_NAMES
  _SCREAMING_SNAKE_CASE		     =							PRETRAINED_VOCAB_FILES_MAP
  _SCREAMING_SNAKE_CASE		     =							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _SCREAMING_SNAKE_CASE		     =							['input_ids', 'attention_mask']
  _SCREAMING_SNAKE_CASE		     =							RobertaTokenizer



  def __init__(  self							:							Tuple     ,					_lowerCAmelCase							:							Union[str, Any]=None     ,					_lowerCAmelCase							:							Tuple=None     ,					_lowerCAmelCase							:							Any=None     ,					_lowerCAmelCase							:							Optional[Any]="replace"     ,					_lowerCAmelCase							:							str="<s>"     ,					_lowerCAmelCase							:							Tuple="</s>"     ,					_lowerCAmelCase							:							Any="</s>"     ,					_lowerCAmelCase							:							Tuple="<s>"     ,					_lowerCAmelCase							:							Any="<unk>"     ,					_lowerCAmelCase							:							Tuple="<pad>"     ,					_lowerCAmelCase							:							List[str]="<mask>"     ,					_lowerCAmelCase							:							str=False     ,					_lowerCAmelCase							:							Union[str, Any]=True     ,					**_lowerCAmelCase							:							int     ,					) ->			str:




     """simple docstring"""
     super().__init__(
         _lowerCAmelCase     ,					_lowerCAmelCase     ,					tokenizer_file=_lowerCAmelCase     ,					errors=_lowerCAmelCase     ,					bos_token=_lowerCAmelCase     ,					eos_token=_lowerCAmelCase     ,					sep_token=_lowerCAmelCase     ,					cls_token=_lowerCAmelCase     ,					unk_token=_lowerCAmelCase     ,					pad_token=_lowerCAmelCase     ,					mask_token=_lowerCAmelCase     ,					add_prefix_space=_lowerCAmelCase     ,					trim_offsets=_lowerCAmelCase     ,					**_lowerCAmelCase     ,					)

     snake_case_            =       json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()	)
     if pre_tok_state.get("add_prefix_space"     ,					_lowerCAmelCase	) != add_prefix_space:
        snake_case_            =       getattr(_lowerCAmelCase     ,					pre_tok_state.pop("type"	)	)
        snake_case_            =       add_prefix_space
        snake_case_            =       pre_tok_class(**_lowerCAmelCase	)

     snake_case_            =       add_prefix_space

     snake_case_            =       "post_processor"
     snake_case_            =       getattr(self.backend_tokenizer     ,					_lowerCAmelCase     ,					_lowerCAmelCase	)
     if tokenizer_component_instance:
        snake_case_            =       json.loads(tokenizer_component_instance.__getstate__()	)

        # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
        if "sep" in state:
           snake_case_            =       tuple(state["sep"]	)
        if "cls" in state:
           snake_case_            =       tuple(state["cls"]	)

        snake_case_            =       False

        if state.get("add_prefix_space"     ,					_lowerCAmelCase	) != add_prefix_space:
           snake_case_            =       add_prefix_space
           snake_case_            =       True

        if state.get("trim_offsets"     ,					_lowerCAmelCase	) != trim_offsets:
           snake_case_            =       trim_offsets
           snake_case_            =       True

        if changes_to_apply:
           snake_case_            =       getattr(_lowerCAmelCase     ,					state.pop("type"	)	)
           snake_case_            =       component_class(**_lowerCAmelCase	)
           setattr(self.backend_tokenizer     ,					_lowerCAmelCase     ,					_lowerCAmelCase	)



  @property
  def        lowerCAmelCase__	(  self							:							Dict	) ->			str:




     """simple docstring"""
     if self._mask_token is None:
        if self.verbose:
           logger.error("Using mask_token, but it is not set yet."	)
        return None
     return str(self._mask_token	)



  @mask_token.setter
  def        lowerCAmelCase__	(  self							:							Tuple     ,					_lowerCAmelCase							:							Tuple	) ->			Optional[int]:




     """simple docstring"""
     snake_case_            =       AddedToken(_lowerCAmelCase     ,					lstrip=_lowerCAmelCase     ,					rstrip=_lowerCAmelCase	) if isinstance(_lowerCAmelCase     ,					_lowerCAmelCase	) else value
     snake_case_            =       value



  def        lowerCAmelCase__	(  self							:							Dict     ,					*_lowerCAmelCase							:							Optional[int]     ,					**_lowerCAmelCase							:							Optional[int]	) ->			BatchEncoding:




     """simple docstring"""
     snake_case_            =       kwargs.get("is_split_into_words"     ,					_lowerCAmelCase	)
     assert self.add_prefix_space or not is_split_into_words, (
         F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
         "to use it with pretokenized inputs."
     )

     return super()._batch_encode_plus(*_lowerCAmelCase     ,					**_lowerCAmelCase	)



  def        lowerCAmelCase__	(  self							:							Optional[Any]     ,					*_lowerCAmelCase							:							str     ,					**_lowerCAmelCase							:							Any	) ->			BatchEncoding:




     """simple docstring"""
     snake_case_            =       kwargs.get("is_split_into_words"     ,					_lowerCAmelCase	)

     assert self.add_prefix_space or not is_split_into_words, (
         F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
         "to use it with pretokenized inputs."
     )

     return super()._encode_plus(*_lowerCAmelCase     ,					**_lowerCAmelCase	)



  def        lowerCAmelCase__	(  self							:							int     ,					_lowerCAmelCase							:							str     ,					_lowerCAmelCase							:							Optional[str] = None	) ->			Tuple[str]:




     """simple docstring"""
     snake_case_            =       self._tokenizer.model.save(_lowerCAmelCase     ,					name=_lowerCAmelCase	)
     return tuple(_lowerCAmelCase	)



  def        lowerCAmelCase__	(  self							:							Any     ,					_lowerCAmelCase							:							int     ,					_lowerCAmelCase							:							List[Any]=None	) ->			Union[str, Any]:




     """simple docstring"""
     snake_case_            =       [self.bos_token_id] + token_ids_a + [self.eos_token_id]
     if token_ids_a is None:
        return output

     return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]



  def        lowerCAmelCase__	(  self							:							Union[str, Any]     ,					_lowerCAmelCase							:							List[int]     ,					_lowerCAmelCase							:							Optional[List[int]] = None	) ->			List[int]:




     """simple docstring"""
     snake_case_            =       [self.sep_token_id]
     snake_case_            =       [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 + sep + token_ids_a + sep	) * [0]




