




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 __lowercase(      lowercase__	,	unittest.TestCase				):




					'''simple docstring'''


					__a						:						Tuple     		= ProphetNetTokenizer
					__a						:						List[str]     		= False
					def     snake_case_				(    self     ):
								super().setUp()

								__lowerCamelCase					:	Tuple	       =				[
								    '[UNK]',
								    '[CLS]',
								    '[SEP]',
								    '[PAD]',
								    '[MASK]',
								    'want',
								    '##want',
								    '##ed',
								    'wa',
								    'un',
								    'runn',
								    '##ing',
								    ',',
								    'low',
								    'lowest',
								]
								__lowerCamelCase					:	Dict	       =				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     snake_case_				(    self						,	__a     ):
								__lowerCamelCase					:	Optional[Any]	       =				'UNwant\u00E9d,running'
								__lowerCamelCase					:	Dict	       =				'unwanted, running'
								return input_text, output_text
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	str	       =				self.tokenizer_class(self.vocab_file     )

								__lowerCamelCase					:	Optional[Any]	       =				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     snake_case_				(    self     ):
								__lowerCamelCase					:	Any	       =				BasicTokenizer()

								self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz'     )						,	['ah', '\u535A', '\u63A8', 'zz']     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Union[str, Any]	       =				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     snake_case_				(    self     ):
								__lowerCamelCase					:	List[Any]	       =				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     snake_case_				(    self     ):
								__lowerCamelCase					:	Dict	       =				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     snake_case_				(    self     ):
								__lowerCamelCase					:	Union[str, Any]	       =				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     snake_case_				(    self     ):
								__lowerCamelCase					:	int	       =				BasicTokenizer(do_lower_case=__a     )

								self.assertListEqual(
								    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '     )						,	['HeLLo', '!', 'how', 'Are', 'yoU', '?']     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Dict	       =				BasicTokenizer(do_lower_case=__a						,	strip_accents=__a     )

								self.assertListEqual(
								    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '     )						,	['HäLLo', '!', 'how', 'Are', 'yoU', '?']     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Dict	       =				BasicTokenizer(do_lower_case=__a						,	strip_accents=__a     )

								self.assertListEqual(
								    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '     )						,	['HaLLo', '!', 'how', 'Are', 'yoU', '?']     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Tuple	       =				BasicTokenizer(do_lower_case=__a						,	never_split=['[UNK]']     )

								self.assertListEqual(
								    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]'     )						,	['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]']     )
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	int	       =				['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

								__lowerCamelCase					:	Optional[int]	       =				{}
								for i, token in enumerate(__a     ):
											__lowerCamelCase					:	str	       =				i
								__lowerCamelCase					:	List[Any]	       =				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']     )
					@require_torch
					def     snake_case_				(    self     ):
								__lowerCamelCase					:	Optional[int]	       =				self.tokenizer_class.from_pretrained('microsoft/prophetnet-large-uncased'     )

								__lowerCamelCase					:	Union[str, Any]	       =				['A long paragraph for summarization.', 'Another paragraph for summarization.']
								__lowerCamelCase					:	str	       =				[1037, 2146, 20423, 2005, 7680, 7849, 3989, 1012, 102]
								__lowerCamelCase					:	List[Any]	       =				tokenizer(__a						,	padding=__a						,	return_tensors='pt'     )
								self.assertIsInstance(__a						,	__a     )
								__lowerCamelCase					:	int	       =				list(batch.input_ids.numpy()[0]     )
								self.assertListEqual(__a						,	__a     )

								self.assertEqual((2, 9)						,	batch.input_ids.shape     )
								self.assertEqual((2, 9)						,	batch.attention_mask.shape     )
					def     snake_case_				(    self     ):
								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     snake_case_				(    self     ):
								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     snake_case_				(    self     ):
								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     snake_case_				(    self     ):
								__lowerCamelCase					:	str	       =				self.tokenizer_class.from_pretrained('microsoft/prophetnet-large-uncased'     )

								__lowerCamelCase					:	Optional[Any]	       =				tokenizer.encode('sequence builders'						,	add_special_tokens=__a     )
								__lowerCamelCase					:	str	       =				tokenizer.encode('multi-sequence build'						,	add_special_tokens=__a     )

								__lowerCamelCase					:	Optional[int]	       =				tokenizer.build_inputs_with_special_tokens(__a     )
								__lowerCamelCase					:	Optional[Any]	       =				tokenizer.build_inputs_with_special_tokens(__a						,	__a     )

								assert encoded_sentence == text + [102]
								assert encoded_pair == text + [102] + text_a + [102]









"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


a_				:    List[Any]										=     {
    '''configuration_encodec''': [
        '''ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''EncodecConfig''',
    ],
    '''feature_extraction_encodec''': ['''EncodecFeatureExtractor'''],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					a_				:    int										=     [
					    '''ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''EncodecModel''',
					    '''EncodecPreTrainedModel''',
					]

if TYPE_CHECKING:
					from .configuration_encodec import (
					    ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    EncodecConfig,
					)
					from .feature_extraction_encodec import EncodecFeatureExtractor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_encodec import (
										    ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST,
										    EncodecModel,
										    EncodecPreTrainedModel,
										)

else:
					import sys

					a_				:    Tuple										=     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



