


import itertools
import json
import os
import unittest

from transformers import AddedToken, RobertaTokenizer, RobertaTokenizerFast
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class      __lowerCAmelCase  (			a			,	unittest.TestCase       ):






  """simple docstring"""





  _SCREAMING_SNAKE_CASE		     =							RobertaTokenizer
  _SCREAMING_SNAKE_CASE		     =							RobertaTokenizerFast
  _SCREAMING_SNAKE_CASE		     =							True
  _SCREAMING_SNAKE_CASE		     =							{'cls_token': '<s>'}



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




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

     # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
     snake_case_            =       [
         "l",
         "o",
         "w",
         "e",
         "r",
         "s",
         "t",
         "i",
         "d",
         "n",
         "\u0120",
         "\u0120l",
         "\u0120n",
         "\u0120lo",
         "\u0120low",
         "er",
         "\u0120lowest",
         "\u0120newer",
         "\u0120wider",
         "<unk>",
     ]
     snake_case_            =       dict(zip(_lowerCAmelCase     ,					range(len(_lowerCAmelCase	)	)	)	)
     snake_case_            =       ["#version: 0.2", "\u0120 l", "\u0120l o", "\u0120lo w", "e r", ""]
     snake_case_            =       {"unk_token": "<unk>"}

     snake_case_            =       os.path.join(self.tmpdirname     ,					VOCAB_FILES_NAMES["vocab_file"]	)
     snake_case_            =       os.path.join(self.tmpdirname     ,					VOCAB_FILES_NAMES["merges_file"]	)
     with open(self.vocab_file     ,					"w"     ,					encoding="utf-8"	) as fp:
        fp.write(json.dumps(_lowerCAmelCase	) + "\n"	)
     with open(self.merges_file     ,					"w"     ,					encoding="utf-8"	) as fp:
        fp.write("\n".join(_lowerCAmelCase	)	)



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




     """simple docstring"""
     kwargs.update(self.special_tokens_map	)
     return self.tokenizer_class.from_pretrained(self.tmpdirname     ,					**_lowerCAmelCase	)



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




     """simple docstring"""
     kwargs.update(self.special_tokens_map	)
     return RobertaTokenizerFast.from_pretrained(self.tmpdirname     ,					**_lowerCAmelCase	)



  def        lowerCAmelCase__	(  self							:							Tuple     ,					_lowerCAmelCase							:							int	) ->			str:




     """simple docstring"""
     snake_case_            =       "lower newer"
     snake_case_            =       "lower newer"
     return input_text, output_text



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




     """simple docstring"""
     snake_case_            =       self.tokenizer_class(self.vocab_file     ,					self.merges_file     ,					**self.special_tokens_map	)
     snake_case_            =       "lower newer"
     snake_case_            =       ["l", "o", "w", "er", "\u0120", "n", "e", "w", "er"]
     snake_case_            =       tokenizer.tokenize(_lowerCAmelCase	)  # , add_prefix_space=True)
     self.assertListEqual(_lowerCAmelCase     ,					_lowerCAmelCase	)

     snake_case_            =       tokens + [tokenizer.unk_token]
     snake_case_            =       [0, 1, 2, 1_5, 1_0, 9, 3, 2, 1_5, 1_9]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCAmelCase	)     ,					_lowerCAmelCase	)



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




     """simple docstring"""
     snake_case_            =       self.get_tokenizer()

     self.assertListEqual(tokenizer.encode("Hello world!"     ,					add_special_tokens=_lowerCAmelCase	)     ,					[0, 3_1_4_1_4, 2_3_2, 3_2_8, 2]	)
     self.assertListEqual(
         tokenizer.encode("Hello world! cécé herlolip 418"     ,					add_special_tokens=_lowerCAmelCase	)     ,					[0, 3_1_4_1_4, 2_3_2, 3_2_8, 7_4_0, 1_1_4_0, 1_2_6_9_5, 6_9, 4_6_0_7_8, 1_5_8_8, 2]     ,					)



  @slow
  def        lowerCAmelCase__	(  self							:							str	) ->			Optional[int]:




     """simple docstring"""
     snake_case_            =       self.tokenizer_class.from_pretrained("roberta-base"	)

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

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

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

     assert encoded_sentence == encoded_text_from_decode
     assert encoded_pair == encoded_pair_from_decode



  def        lowerCAmelCase__	(  self							:							Tuple	) ->			Tuple:




     """simple docstring"""
     snake_case_            =       self.get_tokenizer()

     snake_case_            =       "Encode this sequence."
     snake_case_            =       tokenizer.byte_encoder[" ".encode("utf-8"	)[0]]

     # Testing encoder arguments
     snake_case_            =       tokenizer.encode(_lowerCAmelCase     ,					add_special_tokens=_lowerCAmelCase     ,					add_prefix_space=_lowerCAmelCase	)
     snake_case_            =       tokenizer.convert_ids_to_tokens(encoded[0]	)[0]
     self.assertNotEqual(_lowerCAmelCase     ,					_lowerCAmelCase	)

     snake_case_            =       tokenizer.encode(_lowerCAmelCase     ,					add_special_tokens=_lowerCAmelCase     ,					add_prefix_space=_lowerCAmelCase	)
     snake_case_            =       tokenizer.convert_ids_to_tokens(encoded[0]	)[0]
     self.assertEqual(_lowerCAmelCase     ,					_lowerCAmelCase	)

     tokenizer.add_special_tokens({"bos_token": "<s>"}	)
     snake_case_            =       tokenizer.encode(_lowerCAmelCase     ,					add_special_tokens=_lowerCAmelCase	)
     snake_case_            =       tokenizer.convert_ids_to_tokens(encoded[1]	)[0]
     self.assertNotEqual(_lowerCAmelCase     ,					_lowerCAmelCase	)

     # Testing spaces after special tokens
     snake_case_            =       "<mask>"
     tokenizer.add_special_tokens(
         {"mask_token": AddedToken(_lowerCAmelCase     ,					lstrip=_lowerCAmelCase     ,					rstrip=_lowerCAmelCase	)}	)  # mask token has a left space
     snake_case_            =       tokenizer.convert_tokens_to_ids(_lowerCAmelCase	)

     snake_case_            =       "Encode <mask> sequence"
     snake_case_            =       "Encode <mask>sequence"

     snake_case_            =       tokenizer.encode(_lowerCAmelCase	)
     snake_case_            =       encoded.index(_lowerCAmelCase	)
     snake_case_            =       tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]	)[0]
     self.assertEqual(_lowerCAmelCase     ,					_lowerCAmelCase	)

     snake_case_            =       tokenizer.encode(_lowerCAmelCase	)
     snake_case_            =       encoded.index(_lowerCAmelCase	)
     snake_case_            =       tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]	)[0]
     self.assertNotEqual(_lowerCAmelCase     ,					_lowerCAmelCase	)



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




     """simple docstring"""
     pass



  def        lowerCAmelCase__	(  self							:							Dict	) ->			int:




     """simple docstring"""
     for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''	):
           snake_case_            =       self.rust_tokenizer_class.from_pretrained(_lowerCAmelCase     ,					**_lowerCAmelCase	)
           snake_case_            =       self.tokenizer_class.from_pretrained(_lowerCAmelCase     ,					**_lowerCAmelCase	)
           snake_case_            =       "A, <mask> AllenNLP sentence."
           snake_case_            =       tokenizer_r.encode_plus(_lowerCAmelCase     ,					add_special_tokens=_lowerCAmelCase     ,					return_token_type_ids=_lowerCAmelCase	)
           snake_case_            =       tokenizer_p.encode_plus(_lowerCAmelCase     ,					add_special_tokens=_lowerCAmelCase     ,					return_token_type_ids=_lowerCAmelCase	)

           # token_type_ids should put 0 everywhere
           self.assertEqual(sum(tokens_r["token_type_ids"]	)     ,					sum(tokens_p["token_type_ids"]	)	)

           # attention_mask should put 1 everywhere, so sum over length should be 1
           self.assertEqual(
               sum(tokens_r["attention_mask"]	) / len(tokens_r["attention_mask"]	)     ,					sum(tokens_p["attention_mask"]	) / len(tokens_p["attention_mask"]	)     ,					)

           snake_case_            =       tokenizer_r.convert_ids_to_tokens(tokens_r["input_ids"]	)
           snake_case_            =       tokenizer_p.convert_ids_to_tokens(tokens_p["input_ids"]	)

           # Rust correctly handles the space before the mask while python doesnt
           self.assertSequenceEqual(tokens_p["input_ids"]     ,					[0, 2_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 4, 2]	)
           self.assertSequenceEqual(tokens_r["input_ids"]     ,					[0, 2_5_0, 6, 5_0_2_6_4, 3_8_2_3, 4_8_7, 2_1_9_9_2, 3_6_4_5, 4, 2]	)

           self.assertSequenceEqual(
               _lowerCAmelCase     ,					["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]	)
           self.assertSequenceEqual(
               _lowerCAmelCase     ,					["<s>", "A", ",", "<mask>", "ĠAllen", "N", "LP", "Ġsentence", ".", "</s>"]	)



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




     """simple docstring"""
     for trim_offsets, add_prefix_space in itertools.product([True, False]     ,					repeat=2	):
        snake_case_            =       self.rust_tokenizer_class.from_pretrained(
            self.tmpdirname     ,					use_fast=_lowerCAmelCase     ,					add_prefix_space=_lowerCAmelCase     ,					trim_offsets=_lowerCAmelCase	)

        snake_case_            =       json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()	)
        snake_case_            =       json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()	)

        self.assertEqual(pre_tokenizer_state["add_prefix_space"]     ,					_lowerCAmelCase	)

        self.assertEqual(post_processor_state["add_prefix_space"]     ,					_lowerCAmelCase	)
        self.assertEqual(post_processor_state["trim_offsets"]     ,					_lowerCAmelCase	)



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




     """simple docstring"""
     # Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
     # `trim_offsets`
     for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''	):
           snake_case_            =       "hello"  # `hello` is a token in the vocabulary of `pretrained_name`
           snake_case_            =       F'''{text_of_1_token} {text_of_1_token}'''

           snake_case_            =       self.rust_tokenizer_class.from_pretrained(
               _lowerCAmelCase     ,					use_fast=_lowerCAmelCase     ,					add_prefix_space=_lowerCAmelCase     ,					trim_offsets=_lowerCAmelCase	)
           snake_case_            =       tokenizer_r(_lowerCAmelCase     ,					return_offsets_mapping=_lowerCAmelCase     ,					add_special_tokens=_lowerCAmelCase	)
           self.assertEqual(encoding.offset_mapping[0]     ,					(0, len(_lowerCAmelCase	))	)
           self.assertEqual(
               encoding.offset_mapping[1]     ,					(len(_lowerCAmelCase	) + 1, len(_lowerCAmelCase	) + 1 + len(_lowerCAmelCase	))     ,					)

           snake_case_            =       self.rust_tokenizer_class.from_pretrained(
               _lowerCAmelCase     ,					use_fast=_lowerCAmelCase     ,					add_prefix_space=_lowerCAmelCase     ,					trim_offsets=_lowerCAmelCase	)
           snake_case_            =       tokenizer_r(_lowerCAmelCase     ,					return_offsets_mapping=_lowerCAmelCase     ,					add_special_tokens=_lowerCAmelCase	)
           self.assertEqual(encoding.offset_mapping[0]     ,					(0, len(_lowerCAmelCase	))	)
           self.assertEqual(
               encoding.offset_mapping[1]     ,					(len(_lowerCAmelCase	) + 1, len(_lowerCAmelCase	) + 1 + len(_lowerCAmelCase	))     ,					)

           snake_case_            =       self.rust_tokenizer_class.from_pretrained(
               _lowerCAmelCase     ,					use_fast=_lowerCAmelCase     ,					add_prefix_space=_lowerCAmelCase     ,					trim_offsets=_lowerCAmelCase	)
           snake_case_            =       tokenizer_r(_lowerCAmelCase     ,					return_offsets_mapping=_lowerCAmelCase     ,					add_special_tokens=_lowerCAmelCase	)
           self.assertEqual(encoding.offset_mapping[0]     ,					(0, len(_lowerCAmelCase	))	)
           self.assertEqual(
               encoding.offset_mapping[1]     ,					(len(_lowerCAmelCase	), len(_lowerCAmelCase	) + 1 + len(_lowerCAmelCase	))     ,					)

           snake_case_            =       self.rust_tokenizer_class.from_pretrained(
               _lowerCAmelCase     ,					use_fast=_lowerCAmelCase     ,					add_prefix_space=_lowerCAmelCase     ,					trim_offsets=_lowerCAmelCase	)
           snake_case_            =       tokenizer_r(_lowerCAmelCase     ,					return_offsets_mapping=_lowerCAmelCase     ,					add_special_tokens=_lowerCAmelCase	)
           self.assertEqual(encoding.offset_mapping[0]     ,					(0, len(_lowerCAmelCase	))	)
           self.assertEqual(
               encoding.offset_mapping[1]     ,					(len(_lowerCAmelCase	), len(_lowerCAmelCase	) + 1 + len(_lowerCAmelCase	))     ,					)

           snake_case_            =       F''' {text}'''

           # tokenizer_r = self.rust_tokenizer_class.from_pretrained(
           #     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
           # )
           # encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
           # self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
           # self.assertEqual(
           #     encoding.offset_mapping[1],
           #     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
           # )

           snake_case_            =       self.rust_tokenizer_class.from_pretrained(
               _lowerCAmelCase     ,					use_fast=_lowerCAmelCase     ,					add_prefix_space=_lowerCAmelCase     ,					trim_offsets=_lowerCAmelCase	)
           snake_case_            =       tokenizer_r(_lowerCAmelCase     ,					return_offsets_mapping=_lowerCAmelCase     ,					add_special_tokens=_lowerCAmelCase	)
           self.assertEqual(encoding.offset_mapping[0]     ,					(1, 1 + len(_lowerCAmelCase	))	)
           self.assertEqual(
               encoding.offset_mapping[1]     ,					(1 + len(_lowerCAmelCase	) + 1, 1 + len(_lowerCAmelCase	) + 1 + len(_lowerCAmelCase	))     ,					)

           snake_case_            =       self.rust_tokenizer_class.from_pretrained(
               _lowerCAmelCase     ,					use_fast=_lowerCAmelCase     ,					add_prefix_space=_lowerCAmelCase     ,					trim_offsets=_lowerCAmelCase	)
           snake_case_            =       tokenizer_r(_lowerCAmelCase     ,					return_offsets_mapping=_lowerCAmelCase     ,					add_special_tokens=_lowerCAmelCase	)
           self.assertEqual(encoding.offset_mapping[0]     ,					(0, 1 + len(_lowerCAmelCase	))	)
           self.assertEqual(
               encoding.offset_mapping[1]     ,					(1 + len(_lowerCAmelCase	), 1 + len(_lowerCAmelCase	) + 1 + len(_lowerCAmelCase	))     ,					)

           snake_case_            =       self.rust_tokenizer_class.from_pretrained(
               _lowerCAmelCase     ,					use_fast=_lowerCAmelCase     ,					add_prefix_space=_lowerCAmelCase     ,					trim_offsets=_lowerCAmelCase	)
           snake_case_            =       tokenizer_r(_lowerCAmelCase     ,					return_offsets_mapping=_lowerCAmelCase     ,					add_special_tokens=_lowerCAmelCase	)
           self.assertEqual(encoding.offset_mapping[0]     ,					(0, 1 + len(_lowerCAmelCase	))	)
           self.assertEqual(
               encoding.offset_mapping[1]     ,					(1 + len(_lowerCAmelCase	), 1 + len(_lowerCAmelCase	) + 1 + len(_lowerCAmelCase	))     ,					)








import importlib.metadata
from typing import Union

from packaging.version import Version, parse

from .constants import STR_OPERATION_TO_FUNC


SCREAMING_SNAKE_CASE						:Union[str, Any]			=  parse(importlib.metadata.version('''torch'''))



def       _lowerCAmelCase    (				lowerCAmelCase_				:Union[str, Version]		,    lowerCAmelCase_				:str		,    lowerCAmelCase_				:str				)->Any:
   '''simple docstring'''






   if operation not in STR_OPERATION_TO_FUNC.keys():
      raise ValueError(F'''`operation` must be one of {list(STR_OPERATION_TO_FUNC.keys()				)}, received {operation}'''				)
   snake_case_            =       STR_OPERATION_TO_FUNC[operation]
   if isinstance(lowerCAmelCase_		,    lowerCAmelCase_				):
      snake_case_            =       parse(importlib.metadata.version(lowerCAmelCase_				)				)
   return operation(lowerCAmelCase_		,    parse(lowerCAmelCase_				)				)



def       _lowerCAmelCase    (				lowerCAmelCase_				:str		,    lowerCAmelCase_				:str				)->Any:
   '''simple docstring'''






   return compare_versions(lowerCAmelCase_		,    lowerCAmelCase_		,    lowerCAmelCase_				)




