'''simple docstring'''
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		(						_lowerCamelCase			,							unittest.TestCase						):







					"""simple docstring"""






					SCREAMING_SNAKE_CASE__		   =						ProphetNetTokenizer
					SCREAMING_SNAKE_CASE__		   =						False







					def lowerCAmelCase     (		self    ):
									super().setUp()

									__UpperCamelCase	:	int		    =  [
									    '[UNK]',
									    '[CLS]',
									    '[SEP]',
									    '[PAD]',
									    '[MASK]',
									    'want',
									    '##want',
									    '##ed',
									    'wa',
									    'un',
									    'runn',
									    '##ing',
									    ',',
									    'low',
									    'lowest',
									]
									__UpperCamelCase	:	List[Any]		    =  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     ,			_lowerCamelCase    ):
									__UpperCamelCase	:	List[Any]		    =  'UNwant\u00E9d,running'
									__UpperCamelCase	:	List[str]		    =  'unwanted, running'
									return input_text, output_text







					def lowerCAmelCase     (		self    ):
									__UpperCamelCase	:	Optional[Any]		    =  self.tokenizer_class(self.vocab_file    )

									__UpperCamelCase	:	Optional[Any]		    =  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    ):
									__UpperCamelCase	:	str		    =  BasicTokenizer()

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







					def lowerCAmelCase     (		self    ):
									__UpperCamelCase	:	List[Any]		    =  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    ):
									__UpperCamelCase	:	List[str]		    =  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    ):
									__UpperCamelCase	:	Any		    =  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    ):
									__UpperCamelCase	:	Optional[Any]		    =  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    ):
									__UpperCamelCase	:	Tuple		    =  BasicTokenizer(do_lower_case=_lowerCamelCase    )

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







					def lowerCAmelCase     (		self    ):
									__UpperCamelCase	:	List[Any]		    =  BasicTokenizer(do_lower_case=_lowerCamelCase     ,			strip_accents=_lowerCamelCase    )

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







					def lowerCAmelCase     (		self    ):
									__UpperCamelCase	:	List[Any]		    =  BasicTokenizer(do_lower_case=_lowerCamelCase     ,			strip_accents=_lowerCamelCase    )

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







					def lowerCAmelCase     (		self    ):
									__UpperCamelCase	:	Optional[Any]		    =  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    ):
									__UpperCamelCase	:	List[str]		    =  ['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

									__UpperCamelCase	:	Optional[Any]		    =  {}
									for i, token in enumerate(_lowerCamelCase    ):
													__UpperCamelCase	:	Optional[int]		    =  i
									__UpperCamelCase	:	Any		    =  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    ):
									__UpperCamelCase	:	List[Any]		    =  self.tokenizer_class.from_pretrained('microsoft/prophetnet-large-uncased'    )

									__UpperCamelCase	:	Dict		    =  ['A long paragraph for summarization.', 'Another paragraph for summarization.']
									__UpperCamelCase	:	str		    =  [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]
									__UpperCamelCase	:	Tuple		    =  tokenizer(_lowerCamelCase     ,			padding=_lowerCamelCase     ,			return_tensors='pt'    )
									self.assertIsInstance(_lowerCamelCase     ,			_lowerCamelCase    )
									__UpperCamelCase	:	Tuple		    =  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    ):
									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    ):
									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    ):
									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    ):
									__UpperCamelCase	:	Tuple		    =  self.tokenizer_class.from_pretrained('microsoft/prophetnet-large-uncased'    )

									__UpperCamelCase	:	Union[str, Any]		    =  tokenizer.encode('sequence builders'     ,			add_special_tokens=_lowerCamelCase    )
									__UpperCamelCase	:	str		    =  tokenizer.encode('multi-sequence build'     ,			add_special_tokens=_lowerCamelCase    )

									__UpperCamelCase	:	Union[str, Any]		    =  tokenizer.build_inputs_with_special_tokens(_lowerCamelCase    )
									__UpperCamelCase	:	Dict		    =  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]




'''simple docstring'''
a=  '''0.21.0'''

from .accelerator import Accelerator
from .big_modeling import (
    cpu_offload,
    cpu_offload_with_hook,
    disk_offload,
    dispatch_model,
    init_empty_weights,
    init_on_device,
    load_checkpoint_and_dispatch,
)
from .data_loader import skip_first_batches
from .launchers import debug_launcher, notebook_launcher
from .state import PartialState
from .utils import (
    DeepSpeedPlugin,
    DistributedDataParallelKwargs,
    DistributedType,
    FullyShardedDataParallelPlugin,
    GradScalerKwargs,
    InitProcessGroupKwargs,
    find_executable_batch_size,
    infer_auto_device_map,
    is_rich_available,
    load_checkpoint_in_model,
    synchronize_rng_states,
)


if is_rich_available():
  from .utils import rich



