import os
import unittest

from transformers import MobileBertTokenizer, MobileBertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english


@require_tokenizers
class 						a__							(       SCREAMING_SNAKE_CASE__				,						unittest.TestCase		):
			A__    :       Any        =      MobileBertTokenizer
			A__    :       Optional[int]        =      MobileBertTokenizerFast
			A__    :       Any        =      True
			A__    :       Optional[int]        =      True
			A__    :       List[str]        =      filter_non_english
			A__    :       Any        =      'google/mobilebert-uncased'



			def __SCREAMING_SNAKE_CASE							(						self   )			->   List[str]:
								super().setUp()

								__a		 =       [
								    "[UNK]",
								    "[CLS]",
								    "[SEP]",
								    "[PAD]",
								    "[MASK]",
								    "want",
								    "##want",
								    "##ed",
								    "wa",
								    "un",
								    "runn",
								    "##ing",
								    ",",
								    "low",
								    "lowest",
								]
								__a		 =       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]   )   )

								__a		 =       [
								    (tokenizer_def[0], self.pre_trained_model_path, tokenizer_def[2])  # else the 'google/' prefix is stripped
								    for tokenizer_def in self.tokenizers_list
								]



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase   )			->   Dict:
								__a		 =       "UNwant\u00E9d,running"
								__a		 =       "unwanted, running"
								return input_text, output_text



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Dict:
								__a		 =       self.tokenizer_class(self.vocab_file   )

								__a		 =       tokenizer.tokenize('UNwant\u00E9d,running'   )
								self.assertListEqual(_SCREAMING_SNAKE_CASE				,						['un', '##want', '##ed', ',', 'runn', '##ing']   )
								self.assertListEqual(tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE   )				,						[9, 6, 7, 1_2, 1_0, 1_1]   )



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Optional[int]:
								if not self.test_rust_tokenizer:
													return

								__a		 =       self.get_tokenizer()
								__a		 =       self.get_rust_tokenizer()

								__a		 =       "UNwant\u00E9d,running"

								__a		 =       tokenizer.tokenize(_SCREAMING_SNAKE_CASE   )
								__a		 =       rust_tokenizer.tokenize(_SCREAMING_SNAKE_CASE   )
								self.assertListEqual(_SCREAMING_SNAKE_CASE				,						_SCREAMING_SNAKE_CASE   )

								__a		 =       tokenizer.encode(_SCREAMING_SNAKE_CASE				,						add_special_tokens=_SCREAMING_SNAKE_CASE   )
								__a		 =       rust_tokenizer.encode(_SCREAMING_SNAKE_CASE				,						add_special_tokens=_SCREAMING_SNAKE_CASE   )
								self.assertListEqual(_SCREAMING_SNAKE_CASE				,						_SCREAMING_SNAKE_CASE   )

								__a		 =       self.get_rust_tokenizer()
								__a		 =       tokenizer.encode(_SCREAMING_SNAKE_CASE   )
								__a		 =       rust_tokenizer.encode(_SCREAMING_SNAKE_CASE   )
								self.assertListEqual(_SCREAMING_SNAKE_CASE				,						_SCREAMING_SNAKE_CASE   )

								# With lower casing
								__a		 =       self.get_tokenizer(do_lower_case=_SCREAMING_SNAKE_CASE   )
								__a		 =       self.get_rust_tokenizer(do_lower_case=_SCREAMING_SNAKE_CASE   )

								__a		 =       "UNwant\u00E9d,running"

								__a		 =       tokenizer.tokenize(_SCREAMING_SNAKE_CASE   )
								__a		 =       rust_tokenizer.tokenize(_SCREAMING_SNAKE_CASE   )
								self.assertListEqual(_SCREAMING_SNAKE_CASE				,						_SCREAMING_SNAKE_CASE   )

								__a		 =       tokenizer.encode(_SCREAMING_SNAKE_CASE				,						add_special_tokens=_SCREAMING_SNAKE_CASE   )
								__a		 =       rust_tokenizer.encode(_SCREAMING_SNAKE_CASE				,						add_special_tokens=_SCREAMING_SNAKE_CASE   )
								self.assertListEqual(_SCREAMING_SNAKE_CASE				,						_SCREAMING_SNAKE_CASE   )

								__a		 =       self.get_rust_tokenizer()
								__a		 =       tokenizer.encode(_SCREAMING_SNAKE_CASE   )
								__a		 =       rust_tokenizer.encode(_SCREAMING_SNAKE_CASE   )
								self.assertListEqual(_SCREAMING_SNAKE_CASE				,						_SCREAMING_SNAKE_CASE   )



			def __SCREAMING_SNAKE_CASE							(						self   )			->   str:
								__a		 =       BasicTokenizer()

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



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Union[str, Any]:
								__a		 =       BasicTokenizer(do_lower_case=_SCREAMING_SNAKE_CASE   )

								self.assertListEqual(
								    tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '   )				,						['hello', '!', 'how', 'are', 'you', '?']   )
								self.assertListEqual(tokenizer.tokenize('H\u00E9llo'   )				,						['hello']   )



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Tuple:
								__a		 =       BasicTokenizer(do_lower_case=_SCREAMING_SNAKE_CASE				,						strip_accents=_SCREAMING_SNAKE_CASE   )

								self.assertListEqual(
								    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '   )				,						['hällo', '!', 'how', 'are', 'you', '?']   )
								self.assertListEqual(tokenizer.tokenize('H\u00E9llo'   )				,						['h\u00E9llo']   )



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Optional[Any]:
								__a		 =       BasicTokenizer(do_lower_case=_SCREAMING_SNAKE_CASE				,						strip_accents=_SCREAMING_SNAKE_CASE   )

								self.assertListEqual(
								    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '   )				,						['hallo', '!', 'how', 'are', 'you', '?']   )
								self.assertListEqual(tokenizer.tokenize('H\u00E9llo'   )				,						['hello']   )



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Union[str, Any]:
								__a		 =       BasicTokenizer(do_lower_case=_SCREAMING_SNAKE_CASE   )

								self.assertListEqual(
								    tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '   )				,						['hallo', '!', 'how', 'are', 'you', '?']   )
								self.assertListEqual(tokenizer.tokenize('H\u00E9llo'   )				,						['hello']   )



			def __SCREAMING_SNAKE_CASE							(						self   )			->   str:
								__a		 =       BasicTokenizer(do_lower_case=_SCREAMING_SNAKE_CASE   )

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



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Union[str, Any]:
								__a		 =       BasicTokenizer(do_lower_case=_SCREAMING_SNAKE_CASE				,						strip_accents=_SCREAMING_SNAKE_CASE   )

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



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Any:
								__a		 =       BasicTokenizer(do_lower_case=_SCREAMING_SNAKE_CASE				,						strip_accents=_SCREAMING_SNAKE_CASE   )

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



			def __SCREAMING_SNAKE_CASE							(						self   )			->   List[Any]:
								__a		 =       BasicTokenizer(do_lower_case=_SCREAMING_SNAKE_CASE				,						never_split=['[UNK]']   )

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



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Dict:
								__a		 =       ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

								__a		 =       {}
								for i, token in enumerate(_SCREAMING_SNAKE_CASE   ):
													__a		 =       i
								__a		 =       WordpieceTokenizer(vocab=_SCREAMING_SNAKE_CASE				,						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']   )



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Optional[Any]:
								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 __SCREAMING_SNAKE_CASE							(						self   )			->   List[Any]:
								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 __SCREAMING_SNAKE_CASE							(						self   )			->   int:
								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(' '   )   )



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Optional[Any]:
								__a		 =       self.get_tokenizer()
								__a		 =       self.get_rust_tokenizer()

								# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
								self.assertListEqual([tokenizer.tokenize(_SCREAMING_SNAKE_CASE   ) for t in ['Test', '\xad', 'test']]				,						[['[UNK]'], [], ['[UNK]']]   )

								self.assertListEqual(
								    [rust_tokenizer.tokenize(_SCREAMING_SNAKE_CASE   ) for t in ['Test', '\xad', 'test']]				,						[['[UNK]'], [], ['[UNK]']]   )



			@slow
			def __SCREAMING_SNAKE_CASE							(						self   )			->   Optional[int]:
								__a		 =       self.tokenizer_class.from_pretrained('google/mobilebert-uncased'   )

								__a		 =       tokenizer.encode('sequence builders'				,						add_special_tokens=_SCREAMING_SNAKE_CASE   )
								__a		 =       tokenizer.encode('multi-sequence build'				,						add_special_tokens=_SCREAMING_SNAKE_CASE   )

								__a		 =       tokenizer.build_inputs_with_special_tokens(_SCREAMING_SNAKE_CASE   )
								__a		 =       tokenizer.build_inputs_with_special_tokens(_SCREAMING_SNAKE_CASE				,						_SCREAMING_SNAKE_CASE   )

								assert encoded_sentence == [1_0_1] + text + [1_0_2]
								assert encoded_pair == [1_0_1] + text + [1_0_2] + text_a + [1_0_2]



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Optional[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(_SCREAMING_SNAKE_CASE				,						**_SCREAMING_SNAKE_CASE   )

																		__a		 =       f'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
																		__a		 =       tokenizer_r.encode_plus(
																		    _SCREAMING_SNAKE_CASE				,						return_attention_mask=_SCREAMING_SNAKE_CASE				,						return_token_type_ids=_SCREAMING_SNAKE_CASE				,						return_offsets_mapping=_SCREAMING_SNAKE_CASE				,						add_special_tokens=_SCREAMING_SNAKE_CASE				,						)

																		__a		 =       tokenizer_r.do_lower_case if hasattr(_SCREAMING_SNAKE_CASE				,						'do_lower_case'   ) else False
																		__a		 =       (
																		    [
																		        ((0, 0), tokenizer_r.cls_token),
																		        ((0, 1), "A"),
																		        ((1, 2), ","),
																		        ((3, 5), "na"),
																		        ((5, 6), "##ï"),
																		        ((6, 8), "##ve"),
																		        ((9, 1_5), tokenizer_r.mask_token),
																		        ((1_6, 2_1), "Allen"),
																		        ((2_1, 2_3), "##NL"),
																		        ((2_3, 2_4), "##P"),
																		        ((2_5, 3_3), "sentence"),
																		        ((3_3, 3_4), "."),
																		        ((0, 0), tokenizer_r.sep_token),
																		    ]
																		    if not do_lower_case
																		    else [
																		        ((0, 0), tokenizer_r.cls_token),
																		        ((0, 1), "a"),
																		        ((1, 2), ","),
																		        ((3, 8), "naive"),
																		        ((9, 1_5), tokenizer_r.mask_token),
																		        ((1_6, 2_1), "allen"),
																		        ((2_1, 2_3), "##nl"),
																		        ((2_3, 2_4), "##p"),
																		        ((2_5, 3_3), "sentence"),
																		        ((3_3, 3_4), "."),
																		        ((0, 0), tokenizer_r.sep_token),
																		    ]
																		)

																		self.assertEqual(
																		    [e[1] for e in expected_results]				,						tokenizer_r.convert_ids_to_tokens(tokens['input_ids']   )   )
																		self.assertEqual([e[0] for e in expected_results]				,						tokens['offset_mapping']   )







			def __SCREAMING_SNAKE_CASE							(						self   )			->   Tuple:
								__a		 =       ["的", "人", "有"]
								__a		 =       "".join(_SCREAMING_SNAKE_CASE   )
								for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
													with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''   ):
																		__a		 =       True
																		__a		 =       self.tokenizer_class.from_pretrained(_SCREAMING_SNAKE_CASE				,						**_SCREAMING_SNAKE_CASE   )
																		__a		 =       self.rust_tokenizer_class.from_pretrained(_SCREAMING_SNAKE_CASE				,						**_SCREAMING_SNAKE_CASE   )

																		__a		 =       tokenizer_p.encode(_SCREAMING_SNAKE_CASE				,						add_special_tokens=_SCREAMING_SNAKE_CASE   )
																		__a		 =       tokenizer_r.encode(_SCREAMING_SNAKE_CASE				,						add_special_tokens=_SCREAMING_SNAKE_CASE   )

																		__a		 =       tokenizer_r.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE   )
																		__a		 =       tokenizer_p.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE   )

																		# it is expected that each Chinese character is not preceded by "##"
																		self.assertListEqual(_SCREAMING_SNAKE_CASE				,						_SCREAMING_SNAKE_CASE   )
																		self.assertListEqual(_SCREAMING_SNAKE_CASE				,						_SCREAMING_SNAKE_CASE   )

																		__a		 =       False
																		__a		 =       self.rust_tokenizer_class.from_pretrained(_SCREAMING_SNAKE_CASE				,						**_SCREAMING_SNAKE_CASE   )
																		__a		 =       self.tokenizer_class.from_pretrained(_SCREAMING_SNAKE_CASE				,						**_SCREAMING_SNAKE_CASE   )

																		__a		 =       tokenizer_r.encode(_SCREAMING_SNAKE_CASE				,						add_special_tokens=_SCREAMING_SNAKE_CASE   )
																		__a		 =       tokenizer_p.encode(_SCREAMING_SNAKE_CASE				,						add_special_tokens=_SCREAMING_SNAKE_CASE   )

																		__a		 =       tokenizer_r.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE   )
																		__a		 =       tokenizer_p.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE   )

																		# it is expected that only the first Chinese character is not preceded by "##".
																		__a		 =       [
																		    f'''##{token}''' if idx != 0 else token for idx, token in enumerate(_SCREAMING_SNAKE_CASE   )
																		]
																		self.assertListEqual(_SCREAMING_SNAKE_CASE				,						_SCREAMING_SNAKE_CASE   )
																		self.assertListEqual(_SCREAMING_SNAKE_CASE				,						_SCREAMING_SNAKE_CASE   )





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_torch_available


lowerCamelCase_    :		Dict							=	{"""configuration_speech_encoder_decoder""": ["""SpeechEncoderDecoderConfig"""]}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCamelCase_    :		Optional[Any]							=	["""SpeechEncoderDecoderModel"""]

try:
	if not is_flax_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCamelCase_    :		Dict							=	["""FlaxSpeechEncoderDecoderModel"""]

if TYPE_CHECKING:
	from .configuration_speech_encoder_decoder import SpeechEncoderDecoderConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_speech_encoder_decoder import SpeechEncoderDecoderModel

	try:
		if not is_flax_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_flax_speech_encoder_decoder import FlaxSpeechEncoderDecoderModel

else:
	import sys

	lowerCamelCase_    :		Optional[int]							=	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




