
import unittest

from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


_lowerCamelCase       :				List[Any]       =			get_tests_dir('''fixtures/test_sentencepiece.model''')




@require_sentencepiece
class    SCREAMING_SNAKE_CASE__     (	UpperCAmelCase							,unittest.TestCase					):





	'''simple docstring'''



	_UpperCAmelCase       :		Union[str, Any]       =					XLMProphetNetTokenizer
	_UpperCAmelCase       :		int       =					False
	_UpperCAmelCase       :		Any       =					True



	def  A							(  self	:    Tuple	):


				'''simple docstring'''


				super().setUp()

				# We have a SentencePiece fixture for testing
				_snake_case		=			XLMProphetNetTokenizer(lowercase			,  keep_accents=lowercase	)
				tokenizer.save_pretrained(self.tmpdirname	)



	def  A							(  self	:    List[str]	):


				'''simple docstring'''


				_snake_case		=			'[PAD]'
				_snake_case		=			0

				self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowercase	)			,  lowercase	)
				self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowercase	)			,  lowercase	)



	def  A							(  self	:    List[str]	):


				'''simple docstring'''


				_snake_case		=			list(self.get_tokenizer().get_vocab().keys()	)

				self.assertEqual(vocab_keys[0]			,  '[PAD]'	)
				self.assertEqual(vocab_keys[1]			,  '[CLS]'	)
				self.assertEqual(vocab_keys[-1]			,  'j'	)
				self.assertEqual(len(lowercase	)			,  1_012	)



	def  A							(  self	:    Optional[int]	):


				'''simple docstring'''


				self.assertEqual(self.get_tokenizer().vocab_size			,  1_012	)



	def  A							(  self	:    str	):


				'''simple docstring'''


				_snake_case		=			XLMProphetNetTokenizer(lowercase			,  keep_accents=lowercase	)

				_snake_case		=			tokenizer.tokenize('This is a test'	)
				self.assertListEqual(lowercase			,  ['▁This', '▁is', '▁a', '▁t', 'est']	)

				self.assertListEqual(
				    tokenizer.convert_tokens_to_ids(lowercase	)			,  [value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]			,  )

				_snake_case		=			tokenizer.tokenize('I was born in 92000, and this is falsé.'	)
				self.assertListEqual(
				    lowercase			,  [
				        SPIECE_UNDERLINE + 'I',
				        SPIECE_UNDERLINE + 'was',
				        SPIECE_UNDERLINE + 'b',
				        'or',
				        'n',
				        SPIECE_UNDERLINE + 'in',
				        SPIECE_UNDERLINE + '',
				        '9',
				        '2',
				        '0',
				        '0',
				        '0',
				        ',',
				        SPIECE_UNDERLINE + 'and',
				        SPIECE_UNDERLINE + 'this',
				        SPIECE_UNDERLINE + 'is',
				        SPIECE_UNDERLINE + 'f',
				        'al',
				        's',
				        'é',
				        '.',
				    ]			,  )
				_snake_case		=			tokenizer.convert_tokens_to_ids(lowercase	)
				self.assertListEqual(
				    lowercase			,  [
				        value + tokenizer.fairseq_offset
				        for value in [8, 21, 84, 55, 24, 19, 7, -9, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, -9, 4]
				    ]			,  )

				_snake_case		=			tokenizer.convert_ids_to_tokens(lowercase	)
				self.assertListEqual(
				    lowercase			,  [
				        SPIECE_UNDERLINE + 'I',
				        SPIECE_UNDERLINE + 'was',
				        SPIECE_UNDERLINE + 'b',
				        'or',
				        'n',
				        SPIECE_UNDERLINE + 'in',
				        SPIECE_UNDERLINE + '',
				        '[UNK]',
				        '2',
				        '0',
				        '0',
				        '0',
				        ',',
				        SPIECE_UNDERLINE + 'and',
				        SPIECE_UNDERLINE + 'this',
				        SPIECE_UNDERLINE + 'is',
				        SPIECE_UNDERLINE + 'f',
				        'al',
				        's',
				        '[UNK]',
				        '.',
				    ]			,  )



	@cached_property
	def  A							(  self	:    Dict	):


				'''simple docstring'''


				return XLMProphetNetTokenizer.from_pretrained('microsoft/xprophetnet-large-wiki100-cased'	)



	@slow
	def  A							(  self	:    Optional[Any]	):


				'''simple docstring'''


				_snake_case		=			'Hello World!'
				_snake_case		=			[35_389, 6_672, 49, 2]
				self.assertListEqual(lowercase			,  self.big_tokenizer.encode(lowercase	)	)





	@slow
	def  A							(  self	:    List[str]	):


				'''simple docstring'''


				_snake_case		=			{'input_ids': [[11_073, 82_783, 18, 26, 82_783, 549, 51_540, 248, 17_209, 1_301, 217, 20, 215_186, 1_325, 147, 17_209, 1_301, 217, 20, 56_370, 53, 122_020, 20, 16_477, 27, 87_355, 4_548, 20, 4_728, 78_392, 17, 159_969, 18, 26, 24_491, 629, 15, 538, 22_704, 5_439, 15, 2_788, 24_491, 9_885, 15, 43_534, 605, 15, 814, 18_403, 33_200, 29, 15, 43_534, 24_458, 12_410, 111, 24_966, 83_669, 9_637, 144_068, 26, 850, 22_346, 27, 147, 24_966, 83_669, 83_490, 26, 39_113, 735, 27, 689, 656, 2_800, 1_339, 4_600, 53, 122_020, 115_785, 34, 816, 1_339, 46_887, 18, 147, 53_905, 1_951, 42_238, 41_170, 17_732, 834, 436, 15, 27_523, 98_733, 217, 147, 5_542, 4_981, 930, 17_347, 16, 2], [20_091, 629, 94, 82_786, 58, 490, 20, 1_528, 84, 53_905, 344, 80_592, 110_128, 18_822, 5_267, 1_306, 62, 152_537, 308, 7_997, 401, 124_427, 549, 35_442, 225, 109, 15_055, 25_748, 147, 7_119, 43_712, 34, 767, 135_366, 18, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [592, 63_784, 119_466, 17, 147_808, 88_214, 18, 656, 81, 32, 3_296, 10_280, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
				# fmt: on

				self.tokenizer_integration_test_util(
				    expected_encoding=lowercase			,  model_name='microsoft/xprophetnet-large-wiki100-cased'			,  revision='1acad1643ddd54a44df6a1b797ada8373685d90e'			,  )

import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
			from .tokenization_pegasus import PegasusTokenizer
else:
			_lowerCamelCase       :				int       =			None


_lowerCamelCase       :				List[str]       =			logging.get_logger(__name__)


_lowerCamelCase       :				Tuple       =			'''▁'''

_lowerCamelCase       :				Optional[Any]       =			{'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

_lowerCamelCase       :				Any       =			{
    '''vocab_file''': {'''google/pegasus-xsum''': '''https://huggingface.co/google/pegasus-xsum/resolve/main/spiece.model'''},
    '''tokenizer_file''': {
        '''google/pegasus-xsum''': '''https://huggingface.co/google/pegasus-xsum/resolve/main/tokenizer.json'''
    },
}

_lowerCamelCase       :				Optional[int]       =			{
    '''google/pegasus-xsum''': 512,
}




class    SCREAMING_SNAKE_CASE__     (	UpperCAmelCase					):





	'''simple docstring'''



	_UpperCAmelCase       :		int       =					VOCAB_FILES_NAMES
	_UpperCAmelCase       :		Union[str, Any]       =					PRETRAINED_VOCAB_FILES_MAP
	_UpperCAmelCase       :		Union[str, Any]       =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	_UpperCAmelCase       :		Any       =					PegasusTokenizer
	_UpperCAmelCase       :		Dict       =					["input_ids", "attention_mask"]



	def __init__(  self	:    Tuple			,  lowercase	:    str=None			,  lowercase	:    Any=None			,  lowercase	:    List[Any]="<pad>"			,  lowercase	:    List[Any]="</s>"			,  lowercase	:    Tuple="<unk>"			,  lowercase	:    Any="<mask_2>"			,  lowercase	:    List[str]="<mask_1>"			,  lowercase	:    List[Any]=None			,  lowercase	:    Dict=103			,  **lowercase	:    Optional[Any]			,  ):


				'''simple docstring'''


				_snake_case		=			offset

				if additional_special_tokens is not None:
							if not isinstance(lowercase			,  lowercase	):
										raise TypeError(
										    f'''additional_special_tokens should be of type {type(lowercase	)}, but is'''
										    f''' {type(lowercase	)}'''	)

							_snake_case		=			(
							    ([mask_token_sent] + additional_special_tokens)
							    if mask_token_sent not in additional_special_tokens and mask_token_sent is not None
							    else additional_special_tokens
							)
							# fill additional tokens with ..., <unk_token_102> in case not all additional tokens are already taken
							additional_special_tokens_extended += [
							    f'''<unk_{i}>''' for i in range(len(lowercase	)			,  self.offset - 1	)
							]

							if len(set(lowercase	)	) != len(lowercase	):
										raise ValueError(
										    'Please make sure that the provided additional_special_tokens do not contain an incorrectly'
										    f''' shifted list of <unk_x> tokens. Found {additional_special_tokens_extended}.'''	)
							_snake_case		=			additional_special_tokens_extended
				else:
							_snake_case		=			[mask_token_sent] if mask_token_sent is not None else []
							additional_special_tokens += [f'''<unk_{i}>''' for i in range(2			,  self.offset	)]

				super().__init__(
				    lowercase			,  tokenizer_file=lowercase			,  pad_token=lowercase			,  eos_token=lowercase			,  unk_token=lowercase			,  mask_token=lowercase			,  mask_token_sent=lowercase			,  offset=lowercase			,  additional_special_tokens=lowercase			,  **lowercase			,  )
				_snake_case		=			vocab_file
				_snake_case		=			False if not self.vocab_file else True



	def  A							(  self	:    List[str]			,  lowercase	:    Optional[int]	):


				'''simple docstring'''


				_snake_case		=			set(self.all_special_ids	)  # call it once instead of inside list comp
				all_special_ids.remove(self.unk_token_id	)  # <unk> is only sometimes special

				if all_special_ids != set(range(len(self.additional_special_tokens	) + 3	)	):
							raise ValueError(
							    'There should be 3 special tokens: mask_token, pad_token, and eos_token +'
							    f''' {len(self.additional_special_tokens	)} additional_special_tokens, but got {all_special_ids}'''	)

				return [1 if x in all_special_ids else 0 for x in seq]



	def  A							(  self	:    List[Any]			,  lowercase	:    List			,  lowercase	:    Optional[List] = None			,  lowercase	:    bool = False	):


				'''simple docstring'''


				if already_has_special_tokens:
							return self._special_token_mask(lowercase	)
				elif token_ids_a is None:
							return self._special_token_mask(lowercase	) + [1]
				else:
							return self._special_token_mask(token_ids_a + token_ids_a	) + [1]



	def  A							(  self	:    Any			,  lowercase	:    Tuple			,  lowercase	:    Any=None	):


				'''simple docstring'''


				if token_ids_a is None:
							return token_ids_a + [self.eos_token_id]
				# We don't expect to process pairs, but leave the pair logic for API consistency
				return token_ids_a + token_ids_a + [self.eos_token_id]





	def  A							(  self	:    int			,  lowercase	:    str			,  lowercase	:    Optional[str] = None	):


				'''simple docstring'''


				if not self.can_save_slow_tokenizer:
							raise ValueError(
							    'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
							    'tokenizer.'	)

				if not os.path.isdir(lowercase	):
							logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''	)
							return
				_snake_case		=			os.path.join(
				    lowercase			,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']	)

				if os.path.abspath(self.vocab_file	) != os.path.abspath(lowercase	):
							copyfile(self.vocab_file			,  lowercase	)

				return (out_vocab_file,)