




'''simple docstring'''
import json
import os
import unittest

from transformers import BartTokenizer, BartTokenizerFast, BatchEncoding
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin, filter_roberta_detectors
@require_tokenizers
class      __UpperCAmelCase							(    lowerCAmelCase ,unittest.TestCase							):



					'''simple docstring'''





					_UpperCamelCase  	=		BartTokenizer
					_UpperCamelCase  	=		BartTokenizerFast
					_UpperCamelCase  	=		True
					_UpperCamelCase  	=		filter_roberta_detectors



					def 						__snake_case	(  self    :	List[Any])						->       Optional[Any]:
								super().setUp()
								A_       		=   [
								    'l',
								    'o',
								    'w',
								    'e',
								    'r',
								    's',
								    't',
								    'i',
								    'd',
								    'n',
								    '\u0120',
								    '\u0120l',
								    '\u0120n',
								    '\u0120lo',
								    '\u0120low',
								    'er',
								    '\u0120lowest',
								    '\u0120newer',
								    '\u0120wider',
								    '<unk>',
								]
								A_       		=   dict(zip(_lowercase			,					range(len(_lowercase))))
								A_       		=   ['#version: 0.2', '\u0120 l', '\u0120l o', '\u0120lo w', 'e r', '']
								A_       		=   {'unk_token': '<unk>'}

								A_       		=   os.path.join(self.tmpdirname			,					VOCAB_FILES_NAMES['vocab_file'])
								A_       		=   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(_lowercase) + '\n')
								with open(self.merges_file			,					'w'			,					encoding='utf-8') as fp:
											fp.write('\n'.join(_lowercase))



					def 						__snake_case	(  self    :	Optional[Any]			,					**_lowercase    :	int)						->       List[str]:
								kwargs.update(self.special_tokens_map)
								return self.tokenizer_class.from_pretrained(self.tmpdirname			,					**_lowercase)



					def 						__snake_case	(  self    :	List[str]			,					**_lowercase    :	str)						->       Tuple:
								kwargs.update(self.special_tokens_map)
								return self.rust_tokenizer_class.from_pretrained(self.tmpdirname			,					**_lowercase)



					def 						__snake_case	(  self    :	int			,					_lowercase    :	Dict)						->       List[Any]:
								return "lower newer", "lower newer"



					@cached_property
					def 						__snake_case	(  self    :	str)						->       List[Any]:
								return BartTokenizer.from_pretrained('facebook/bart-large')



					@cached_property
					def 						__snake_case	(  self    :	str)						->       int:
								return BartTokenizerFast.from_pretrained('facebook/bart-large')



					@require_torch
					def 						__snake_case	(  self    :	Dict)						->       Tuple:
								A_       		=   ['A long paragraph for summarization.', 'Another paragraph for summarization.']
								A_       		=   [0, 250, 251, 17_818, 13, 39_186, 1_938, 4, 2]

								for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
											A_       		=   tokenizer(_lowercase			,					max_length=len(_lowercase)			,					padding=_lowercase			,					return_tensors='pt')
											self.assertIsInstance(_lowercase			,					_lowercase)

											self.assertEqual((2, 9)			,					batch.input_ids.shape)
											self.assertEqual((2, 9)			,					batch.attention_mask.shape)
											A_       		=   batch.input_ids.tolist()[0]
											self.assertListEqual(_lowercase			,					_lowercase)
											# Test that special tokens are reset



					@require_torch
					def 						__snake_case	(  self    :	int)						->       int:
								A_       		=   ['A long paragraph for summarization.', 'Another paragraph for summarization.']
								for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
											A_       		=   tokenizer(_lowercase			,					padding=_lowercase			,					return_tensors='pt')
											# check if input_ids are returned and no labels
											self.assertIn('input_ids'			,					_lowercase)
											self.assertIn('attention_mask'			,					_lowercase)
											self.assertNotIn('labels'			,					_lowercase)
											self.assertNotIn('decoder_attention_mask'			,					_lowercase)



					@require_torch
					def 						__snake_case	(  self    :	Optional[Any])						->       Tuple:
								A_       		=   [
								    'Summary of the text.',
								    'Another summary.',
								]
								for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
											A_       		=   tokenizer(text_target=_lowercase			,					max_length=32			,					padding='max_length'			,					return_tensors='pt')
											self.assertEqual(32			,					targets['input_ids'].shape[1])



					@require_torch
					def 						__snake_case	(  self    :	Dict)						->       List[str]:
								for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
											A_       		=   tokenizer(
											    ['I am a small frog' * 1_024, 'I am a small frog']			,					padding=_lowercase			,					truncation=_lowercase			,					return_tensors='pt')
											self.assertIsInstance(_lowercase			,					_lowercase)
											self.assertEqual(batch.input_ids.shape			,					(2, 1_024))



					@require_torch
					def 						__snake_case	(  self    :	List[Any])						->       str:
								A_       		=   ['A long paragraph for summarization.']
								A_       		=   [
								    'Summary of the text.',
								]
								for tokenizer in [self.default_tokenizer, self.default_tokenizer_fast]:
											A_       		=   tokenizer(_lowercase			,					return_tensors='pt')
											A_       		=   tokenizer(text_target=_lowercase			,					return_tensors='pt')
											A_       		=   inputs['input_ids']
											A_       		=   targets['input_ids']
											self.assertTrue((input_ids[:, 0] == tokenizer.bos_token_id).all().item())
											self.assertTrue((labels[:, 0] == tokenizer.bos_token_id).all().item())
											self.assertTrue((input_ids[:, -1] == tokenizer.eos_token_id).all().item())
											self.assertTrue((labels[:, -1] == tokenizer.eos_token_id).all().item())



					def 						__snake_case	(  self    :	Any)						->       Any:
								pass



					def 						__snake_case	(  self    :	List[Any])						->       Union[str, Any]:
								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(_lowercase			,					**_lowercase)
														A_       		=   self.tokenizer_class.from_pretrained(_lowercase			,					**_lowercase)
														A_       		=   'A, <mask> AllenNLP sentence.'
														A_       		=   tokenizer_r.encode_plus(_lowercase			,					add_special_tokens=_lowercase			,					return_token_type_ids=_lowercase)
														A_       		=   tokenizer_p.encode_plus(_lowercase			,					add_special_tokens=_lowercase			,					return_token_type_ids=_lowercase)

														# 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'])			,					)

														A_       		=   tokenizer_r.convert_ids_to_tokens(tokens_r['input_ids'])
														A_       		=   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, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2])
														self.assertSequenceEqual(tokens_r['input_ids']			,					[0, 250, 6, 50_264, 3_823, 487, 21_992, 3_645, 4, 2])

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










'''simple docstring'''
from typing import Dict, List, Optional, Tuple

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


_SCREAMING_SNAKE_CASE =	logging.get_logger(__name__)
class      __UpperCAmelCase							(    lowerCAmelCase							):



					'''simple docstring'''





					_UpperCamelCase  	=		["""input_ids""", """attention_mask"""]



					def __init__(  self    :	str			,					_lowercase    :	List[Any]="[PAD]"			,					_lowercase    :	Any="[BOS]"			,					_lowercase    :	Any="[EOS]"			,					_lowercase    :	str="[MASK]"			,					_lowercase    :	str="[CLS]"			,					_lowercase    :	Optional[Any]="[SEP]"			,					_lowercase    :	List[str]=2_048			,					**_lowercase    :	int			,					)						->       None:
								A_       		=   AddedToken(_lowercase			,					lstrip=_lowercase			,					rstrip=_lowercase) if isinstance(_lowercase			,					_lowercase) else pad_token
								A_       		=   AddedToken(_lowercase			,					lstrip=_lowercase			,					rstrip=_lowercase) if isinstance(_lowercase			,					_lowercase) else bos_token
								A_       		=   AddedToken(_lowercase			,					lstrip=_lowercase			,					rstrip=_lowercase) if isinstance(_lowercase			,					_lowercase) else eos_token
								A_       		=   AddedToken(_lowercase			,					lstrip=_lowercase			,					rstrip=_lowercase) if isinstance(_lowercase			,					_lowercase) else mask_token
								A_       		=   AddedToken(_lowercase			,					lstrip=_lowercase			,					rstrip=_lowercase) if isinstance(_lowercase			,					_lowercase) else cls_token
								A_       		=   AddedToken(_lowercase			,					lstrip=_lowercase			,					rstrip=_lowercase) if isinstance(_lowercase			,					_lowercase) else sep_token

								super().__init__(
								    pad_token=_lowercase			,					bos_token=_lowercase			,					eos_token=_lowercase			,					mask_token=_lowercase			,					cls_token=_lowercase			,					sep_token=_lowercase			,					model_max_length=_lowercase			,					**_lowercase			,					)

								A_       		=   2**8  # utf is 8 bits

								# define special tokens dict
								A_       		=   {
								    self.pad_token: 0,
								    self.bos_token: 1,
								    self.eos_token: 2,
								    self.mask_token: 3,
								    self.cls_token: 4,
								    self.sep_token: 5,
								}
								A_       		=   len(self.special_tokens_encoder)
								A_       		=   {v: k for k, v in self.special_tokens_encoder.items()}



					def 						__snake_case	(  self    :	List[str])						->       Dict[str, int]:
								A_       		=   self.special_tokens_encoder.copy()
								vocab.update(self.added_tokens_encoder)
								for i in range(self._utf_vocab_size):
											A_       		=   chr(_lowercase)
											A_       		=   i + len(self.special_tokens_encoder)
								return vocab



					@property
					def 						__snake_case	(  self    :	int)						->       Dict:
								return self._utf_vocab_size + self._num_special_tokens



					def 						__snake_case	(  self    :	Union[str, Any]			,					_lowercase    :	List[int]			,					_lowercase    :	Optional[List[int]] = None			,					_lowercase    :	bool = False)						->       List[int]:
								if already_has_special_tokens:
											return super().get_special_tokens_mask(
											    token_ids_a=_lowercase			,					token_ids_a=_lowercase			,					already_has_special_tokens=_lowercase)

								# normal case: some special tokens
								if token_ids_a is None:
											return [1] + [0] * len(_lowercase) + [1]
								return [1] + ([0] * len(_lowercase)) + [1] + ([0] * len(_lowercase)) + [1]



					def 						__snake_case	(  self    :	int			,					_lowercase    :	List[int]			,					_lowercase    :	Optional[List[int]] = None)						->       List[int]:
								if token_ids_a is None:
											return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
								else:
											return [self.cls_token_id] + token_ids_a + [self.sep_token_id] + token_ids_a + [self.sep_token_id]



					def 						__snake_case	(  self    :	str			,					_lowercase    :	str)						->       List[str]:
								A_       		=   [chr(_lowercase) for i in text.encode('utf-8')]
								return tokens



					def 						__snake_case	(  self    :	Union[str, Any]			,					_lowercase    :	Optional[Any])						->       Tuple:
								if token in self.special_tokens_encoder:
											A_       		=   self.special_tokens_encoder[token]
								elif token in self.added_tokens_encoder:
											A_       		=   self.added_tokens_encoder[token]
								elif len(_lowercase) != 1:
											A_       		=   self.unk_token_id
								else:
											A_       		=   ord(_lowercase) + self._num_special_tokens
								return token_id



					def 						__snake_case	(  self    :	str			,					_lowercase    :	List[str])						->       Dict:
								if index in self.special_tokens_decoder:
											A_       		=   self.special_tokens_decoder[index]
								elif index in self.added_tokens_decoder:
											A_       		=   self.added_tokens_decoder[index]
								else:
											A_       		=   chr(index - self._num_special_tokens)
								return token



					def 						__snake_case	(  self    :	str			,					_lowercase    :	Dict)						->       int:
								A_       		=   B''
								for token in tokens:
											if token in self.special_tokens_decoder:
														A_       		=   self.special_tokens_decoder[token].encode('utf-8')
											elif token in self.added_tokens_decoder:
														A_       		=   self.special_tokens_decoder[token].encode('utf-8')
											elif token in self.special_tokens_encoder:
														A_       		=   token.encode('utf-8')
											elif token in self.added_tokens_encoder:
														A_       		=   token.encode('utf-8')
											else:
														A_       		=   bytes([ord(_lowercase)])
											bstring += tok_string
								A_       		=   bstring.decode('utf-8'			,					errors='replace')
								return string



					def 						__snake_case	(  self    :	Optional[int]			,					_lowercase    :	str			,					_lowercase    :	Optional[str] = None)						->       Tuple[str]:
								return ()




