



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       __lowerCAmelCase   (      A    ,						unittest.TestCase						):
			UpperCamelCase        =					MobileBertTokenizer
			UpperCamelCase        =					MobileBertTokenizerFast
			UpperCamelCase        =					True
			UpperCamelCase        =					True
			UpperCamelCase        =					filter_non_english
			UpperCamelCase        =					'''google/mobilebert-uncased'''



			def    _lowerCamelCase	(						self       :  Union[str, Any])       ->   Any:



						"""simple docstring"""






						super().setUp()

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

						_UpperCAmelCase			=       [
						    (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    _lowerCamelCase	(						self       :  int			,		A       :  str)       ->   Optional[int]:



						"""simple docstring"""






						_UpperCAmelCase			=       'UNwant\u00E9d,running'
						_UpperCAmelCase			=       'unwanted, running'
						return input_text, output_text



			def    _lowerCamelCase	(						self       :  str)       ->   List[Any]:



						"""simple docstring"""






						_UpperCAmelCase			=       self.tokenizer_class(self.vocab_file)

						_UpperCAmelCase			=       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    _lowerCamelCase	(						self       :  Optional[int])       ->   Optional[int]:



						"""simple docstring"""






						if not self.test_rust_tokenizer:
									return

						_UpperCAmelCase			=       self.get_tokenizer()
						_UpperCAmelCase			=       self.get_rust_tokenizer()

						_UpperCAmelCase			=       'UNwant\u00E9d,running'

						_UpperCAmelCase			=       tokenizer.tokenize(A)
						_UpperCAmelCase			=       rust_tokenizer.tokenize(A)
						self.assertListEqual(A			,		A)

						_UpperCAmelCase			=       tokenizer.encode(A			,		add_special_tokens=A)
						_UpperCAmelCase			=       rust_tokenizer.encode(A			,		add_special_tokens=A)
						self.assertListEqual(A			,		A)

						_UpperCAmelCase			=       self.get_rust_tokenizer()
						_UpperCAmelCase			=       tokenizer.encode(A)
						_UpperCAmelCase			=       rust_tokenizer.encode(A)
						self.assertListEqual(A			,		A)

						# With lower casing
						_UpperCAmelCase			=       self.get_tokenizer(do_lower_case=A)
						_UpperCAmelCase			=       self.get_rust_tokenizer(do_lower_case=A)

						_UpperCAmelCase			=       'UNwant\u00E9d,running'

						_UpperCAmelCase			=       tokenizer.tokenize(A)
						_UpperCAmelCase			=       rust_tokenizer.tokenize(A)
						self.assertListEqual(A			,		A)

						_UpperCAmelCase			=       tokenizer.encode(A			,		add_special_tokens=A)
						_UpperCAmelCase			=       rust_tokenizer.encode(A			,		add_special_tokens=A)
						self.assertListEqual(A			,		A)

						_UpperCAmelCase			=       self.get_rust_tokenizer()
						_UpperCAmelCase			=       tokenizer.encode(A)
						_UpperCAmelCase			=       rust_tokenizer.encode(A)
						self.assertListEqual(A			,		A)



			def    _lowerCamelCase	(						self       :  str)       ->   List[Any]:



						"""simple docstring"""






						_UpperCAmelCase			=       BasicTokenizer()

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



			def    _lowerCamelCase	(						self       :  Union[str, Any])       ->   Optional[Any]:



						"""simple docstring"""






						_UpperCAmelCase			=       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    _lowerCamelCase	(						self       :  Any)       ->   Union[str, Any]:



						"""simple docstring"""






						_UpperCAmelCase			=       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    _lowerCamelCase	(						self       :  List[str])       ->   Union[str, Any]:



						"""simple docstring"""






						_UpperCAmelCase			=       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    _lowerCamelCase	(						self       :  Tuple)       ->   int:



						"""simple docstring"""






						_UpperCAmelCase			=       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    _lowerCamelCase	(						self       :  int)       ->   List[Any]:



						"""simple docstring"""






						_UpperCAmelCase			=       BasicTokenizer(do_lower_case=A)

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



			def    _lowerCamelCase	(						self       :  Optional[int])       ->   Dict:



						"""simple docstring"""






						_UpperCAmelCase			=       BasicTokenizer(do_lower_case=A			,		strip_accents=A)

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



			def    _lowerCamelCase	(						self       :  Optional[Any])       ->   List[str]:



						"""simple docstring"""






						_UpperCAmelCase			=       BasicTokenizer(do_lower_case=A			,		strip_accents=A)

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



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



						"""simple docstring"""






						_UpperCAmelCase			=       BasicTokenizer(do_lower_case=A			,		never_split=['[UNK]'])

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



			def    _lowerCamelCase	(						self       :  Tuple)       ->   List[Any]:



						"""simple docstring"""






						_UpperCAmelCase			=       ['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

						_UpperCAmelCase			=       {}
						for i, token in enumerate(A):
									_UpperCAmelCase			=       i
						_UpperCAmelCase			=       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'])



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



						"""simple docstring"""






						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       :  Union[str, Any])       ->   Optional[Any]:



						"""simple docstring"""






						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       :  Optional[int])       ->   int:



						"""simple docstring"""






						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    _lowerCamelCase	(						self       :  Union[str, Any])       ->   Optional[Any]:



						"""simple docstring"""






						_UpperCAmelCase			=       self.get_tokenizer()
						_UpperCAmelCase			=       self.get_rust_tokenizer()

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

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



			@slow
			def    _lowerCamelCase	(						self       :  int)       ->   str:



						"""simple docstring"""






						_UpperCAmelCase			=       self.tokenizer_class.from_pretrained('google/mobilebert-uncased')

						_UpperCAmelCase			=       tokenizer.encode('sequence builders'			,		add_special_tokens=A)
						_UpperCAmelCase			=       tokenizer.encode('multi-sequence build'			,		add_special_tokens=A)

						_UpperCAmelCase			=       tokenizer.build_inputs_with_special_tokens(A)
						_UpperCAmelCase			=       tokenizer.build_inputs_with_special_tokens(A			,		A)

						assert encoded_sentence == [1_01] + text + [1_02]
						assert encoded_pair == [1_01] + text + [1_02] + text_a + [1_02]



			def    _lowerCamelCase	(						self       :  List[Any])       ->   Any:



						"""simple docstring"""






						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})"):
												_UpperCAmelCase			=       self.rust_tokenizer_class.from_pretrained(A			,		**A)

												_UpperCAmelCase			=       F"A, naïve {tokenizer_r.mask_token} AllenNLP sentence."
												_UpperCAmelCase			=       tokenizer_r.encode_plus(
												    A			,		return_attention_mask=A			,		return_token_type_ids=A			,		return_offsets_mapping=A			,		add_special_tokens=A			,		)

												_UpperCAmelCase			=       tokenizer_r.do_lower_case if hasattr(A			,		'do_lower_case') else False
												_UpperCAmelCase			=       (
												    [
												        ((0, 0), tokenizer_r.cls_token),
												        ((0, 1), 'A'),
												        ((1, 2), ','),
												        ((3, 5), 'na'),
												        ((5, 6), '##ï'),
												        ((6, 8), '##ve'),
												        ((9, 15), tokenizer_r.mask_token),
												        ((16, 21), 'Allen'),
												        ((21, 23), '##NL'),
												        ((23, 24), '##P'),
												        ((25, 33), 'sentence'),
												        ((33, 34), '.'),
												        ((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, 15), tokenizer_r.mask_token),
												        ((16, 21), 'allen'),
												        ((21, 23), '##nl'),
												        ((23, 24), '##p'),
												        ((25, 33), 'sentence'),
												        ((33, 34), '.'),
												        ((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    _lowerCamelCase	(						self       :  Tuple)       ->   Any:



						"""simple docstring"""






						_UpperCAmelCase			=       ['的', '人', '有']
						_UpperCAmelCase			=       ''.join(A)
						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})"):
												_UpperCAmelCase			=       True
												_UpperCAmelCase			=       self.tokenizer_class.from_pretrained(A			,		**A)
												_UpperCAmelCase			=       self.rust_tokenizer_class.from_pretrained(A			,		**A)

												_UpperCAmelCase			=       tokenizer_p.encode(A			,		add_special_tokens=A)
												_UpperCAmelCase			=       tokenizer_r.encode(A			,		add_special_tokens=A)

												_UpperCAmelCase			=       tokenizer_r.convert_ids_to_tokens(A)
												_UpperCAmelCase			=       tokenizer_p.convert_ids_to_tokens(A)

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

												_UpperCAmelCase			=       False
												_UpperCAmelCase			=       self.rust_tokenizer_class.from_pretrained(A			,		**A)
												_UpperCAmelCase			=       self.tokenizer_class.from_pretrained(A			,		**A)

												_UpperCAmelCase			=       tokenizer_r.encode(A			,		add_special_tokens=A)
												_UpperCAmelCase			=       tokenizer_p.encode(A			,		add_special_tokens=A)

												_UpperCAmelCase			=       tokenizer_r.convert_ids_to_tokens(A)
												_UpperCAmelCase			=       tokenizer_p.convert_ids_to_tokens(A)

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





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


UpperCAmelCase__       =	{
    "configuration_clip": [
        "CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "CLIPConfig",
        "CLIPOnnxConfig",
        "CLIPTextConfig",
        "CLIPVisionConfig",
    ],
    "processing_clip": ["CLIPProcessor"],
    "tokenization_clip": ["CLIPTokenizer"],
}

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__       =	["CLIPTokenizerFast"]

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__       =	["CLIPFeatureExtractor"]
							UpperCAmelCase__       =	["CLIPImageProcessor"]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__       =	[
							    "CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "CLIPModel",
							    "CLIPPreTrainedModel",
							    "CLIPTextModel",
							    "CLIPTextModelWithProjection",
							    "CLIPVisionModel",
							    "CLIPVisionModelWithProjection",
							]

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__       =	[
							    "TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "TFCLIPModel",
							    "TFCLIPPreTrainedModel",
							    "TFCLIPTextModel",
							    "TFCLIPVisionModel",
							]

try:
							if not is_flax_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__       =	[
							    "FlaxCLIPModel",
							    "FlaxCLIPPreTrainedModel",
							    "FlaxCLIPTextModel",
							    "FlaxCLIPTextPreTrainedModel",
							    "FlaxCLIPVisionModel",
							    "FlaxCLIPVisionPreTrainedModel",
							]


if TYPE_CHECKING:
							from .configuration_clip import (
							    CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    CLIPConfig,
							    CLIPOnnxConfig,
							    CLIPTextConfig,
							    CLIPVisionConfig,
							)
							from .processing_clip import CLIPProcessor
							from .tokenization_clip import CLIPTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_clip_fast import CLIPTokenizerFast

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_clip import CLIPFeatureExtractor
														from .image_processing_clip import CLIPImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_clip import (
														    CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
														    CLIPModel,
														    CLIPPreTrainedModel,
														    CLIPTextModel,
														    CLIPTextModelWithProjection,
														    CLIPVisionModel,
														    CLIPVisionModelWithProjection,
														)

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_clip import (
														    TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
														    TFCLIPModel,
														    TFCLIPPreTrainedModel,
														    TFCLIPTextModel,
														    TFCLIPVisionModel,
														)

							try:
														if not is_flax_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_flax_clip import (
														    FlaxCLIPModel,
														    FlaxCLIPPreTrainedModel,
														    FlaxCLIPTextModel,
														    FlaxCLIPTextPreTrainedModel,
														    FlaxCLIPVisionModel,
														    FlaxCLIPVisionPreTrainedModel,
														)


else:
							import sys

							UpperCAmelCase__       =	_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
