


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__	(							UpperCAmelCase					,	unittest.TestCase      ):






			"""simple docstring"""






			_UpperCamelCase		:					int    =		MobileBertTokenizer
			_UpperCamelCase		:					int    =		MobileBertTokenizerFast
			_UpperCamelCase		:					Optional[int]    =		True
			_UpperCamelCase		:					List[Any]    =		True
			_UpperCamelCase		:					Any    =		filter_non_english
			_UpperCamelCase		:					Union[str, Any]    =		'google/mobilebert-uncased'




			def 				snake_case__				(							self     ):

						'''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 				snake_case__				(							self      ,						snake_case     ):

						'''simple docstring'''


						UpperCamelCase__					=       "UNwant\u00E9d,running"
						UpperCamelCase__					=       "unwanted, running"
						return input_text, output_text




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       self.tokenizer_class(self.vocab_file     )

						UpperCamelCase__					=       tokenizer.tokenize("UNwant\u00E9d,running"     )
						self.assertListEqual(snake_case      ,						["un", "##want", "##ed", ",", "runn", "##ing"]     )
						self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case     )      ,						[9, 6, 7, 12, 10, 11]     )




			def 				snake_case__				(							self     ):

						'''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(snake_case     )
						UpperCamelCase__					=       rust_tokenizer.tokenize(snake_case     )
						self.assertListEqual(snake_case      ,						snake_case     )

						UpperCamelCase__					=       tokenizer.encode(snake_case      ,						add_special_tokens=snake_case     )
						UpperCamelCase__					=       rust_tokenizer.encode(snake_case      ,						add_special_tokens=snake_case     )
						self.assertListEqual(snake_case      ,						snake_case     )

						UpperCamelCase__					=       self.get_rust_tokenizer()
						UpperCamelCase__					=       tokenizer.encode(snake_case     )
						UpperCamelCase__					=       rust_tokenizer.encode(snake_case     )
						self.assertListEqual(snake_case      ,						snake_case     )

						# With lower casing
						UpperCamelCase__					=       self.get_tokenizer(do_lower_case=snake_case     )
						UpperCamelCase__					=       self.get_rust_tokenizer(do_lower_case=snake_case     )

						UpperCamelCase__					=       "UNwant\u00E9d,running"

						UpperCamelCase__					=       tokenizer.tokenize(snake_case     )
						UpperCamelCase__					=       rust_tokenizer.tokenize(snake_case     )
						self.assertListEqual(snake_case      ,						snake_case     )

						UpperCamelCase__					=       tokenizer.encode(snake_case      ,						add_special_tokens=snake_case     )
						UpperCamelCase__					=       rust_tokenizer.encode(snake_case      ,						add_special_tokens=snake_case     )
						self.assertListEqual(snake_case      ,						snake_case     )

						UpperCamelCase__					=       self.get_rust_tokenizer()
						UpperCamelCase__					=       tokenizer.encode(snake_case     )
						UpperCamelCase__					=       rust_tokenizer.encode(snake_case     )
						self.assertListEqual(snake_case      ,						snake_case     )




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       BasicTokenizer()

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




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       BasicTokenizer(do_lower_case=snake_case     )

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




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       BasicTokenizer(do_lower_case=snake_case      ,						strip_accents=snake_case     )

						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     ):

						'''simple docstring'''


						UpperCamelCase__					=       BasicTokenizer(do_lower_case=snake_case      ,						strip_accents=snake_case     )

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




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       BasicTokenizer(do_lower_case=snake_case     )

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




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       BasicTokenizer(do_lower_case=snake_case     )

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




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       BasicTokenizer(do_lower_case=snake_case      ,						strip_accents=snake_case     )

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




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       BasicTokenizer(do_lower_case=snake_case      ,						strip_accents=snake_case     )

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




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       BasicTokenizer(do_lower_case=snake_case      ,						never_split=["[UNK]"]     )

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




			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       ["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

						UpperCamelCase__					=       {}
						for i, token in enumerate(snake_case     ):
									UpperCamelCase__					=       i
						UpperCamelCase__					=       WordpieceTokenizer(vocab=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 				snake_case__				(							self     ):

						'''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 				snake_case__				(							self     ):

						'''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 				snake_case__				(							self     ):

						'''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 				snake_case__				(							self     ):

						'''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(snake_case     ) for t in ["Test", "\xad", "test"]]      ,						[["[UNK]"], [], ["[UNK]"]]     )

						self.assertListEqual(
						    [rust_tokenizer.tokenize(snake_case     ) for t in ["Test", "\xad", "test"]]      ,						[["[UNK]"], [], ["[UNK]"]]     )




			@slow
			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       self.tokenizer_class.from_pretrained("google/mobilebert-uncased"     )

						UpperCamelCase__					=       tokenizer.encode("sequence builders"      ,						add_special_tokens=snake_case     )
						UpperCamelCase__					=       tokenizer.encode("multi-sequence build"      ,						add_special_tokens=snake_case     )

						UpperCamelCase__					=       tokenizer.build_inputs_with_special_tokens(snake_case     )
						UpperCamelCase__					=       tokenizer.build_inputs_with_special_tokens(snake_case      ,						snake_case     )

						assert encoded_sentence == [101] + text + [102]
						assert encoded_pair == [101] + text + [102] + text_a + [102]




			def 				snake_case__				(							self     ):

						'''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(snake_case      ,						**snake_case     )

												UpperCamelCase__					=       F'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
												UpperCamelCase__					=       tokenizer_r.encode_plus(
												    snake_case      ,						return_attention_mask=snake_case      ,						return_token_type_ids=snake_case      ,						return_offsets_mapping=snake_case      ,						add_special_tokens=snake_case      ,						)

												UpperCamelCase__					=       tokenizer_r.do_lower_case if hasattr(snake_case      ,						"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 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       ["的", "人", "有"]
						UpperCamelCase__					=       "".join(snake_case     )
						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(snake_case      ,						**snake_case     )
												UpperCamelCase__					=       self.rust_tokenizer_class.from_pretrained(snake_case      ,						**snake_case     )

												UpperCamelCase__					=       tokenizer_p.encode(snake_case      ,						add_special_tokens=snake_case     )
												UpperCamelCase__					=       tokenizer_r.encode(snake_case      ,						add_special_tokens=snake_case     )

												UpperCamelCase__					=       tokenizer_r.convert_ids_to_tokens(snake_case     )
												UpperCamelCase__					=       tokenizer_p.convert_ids_to_tokens(snake_case     )

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

												UpperCamelCase__					=       False
												UpperCamelCase__					=       self.rust_tokenizer_class.from_pretrained(snake_case      ,						**snake_case     )
												UpperCamelCase__					=       self.tokenizer_class.from_pretrained(snake_case      ,						**snake_case     )

												UpperCamelCase__					=       tokenizer_r.encode(snake_case      ,						add_special_tokens=snake_case     )
												UpperCamelCase__					=       tokenizer_p.encode(snake_case      ,						add_special_tokens=snake_case     )

												UpperCamelCase__					=       tokenizer_r.convert_ids_to_tokens(snake_case     )
												UpperCamelCase__					=       tokenizer_p.convert_ids_to_tokens(snake_case     )

												# 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(snake_case     )
												]
												self.assertListEqual(snake_case      ,						snake_case     )
												self.assertListEqual(snake_case      ,						snake_case     )






from typing import TYPE_CHECKING

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


__UpperCamelCase    		=       {
    'configuration_resnet': ['RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ResNetConfig', 'ResNetOnnxConfig']
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__UpperCamelCase    		=       [
						    'RESNET_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'ResNetForImageClassification',
						    'ResNetModel',
						    'ResNetPreTrainedModel',
						    'ResNetBackbone',
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__UpperCamelCase    		=       [
						    'TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'TFResNetForImageClassification',
						    'TFResNetModel',
						    'TFResNetPreTrainedModel',
						]

try:
						if not is_flax_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__UpperCamelCase    		=       [
						    'FlaxResNetForImageClassification',
						    'FlaxResNetModel',
						    'FlaxResNetPreTrainedModel',
						]

if TYPE_CHECKING:
						from .configuration_resnet import RESNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ResNetConfig, ResNetOnnxConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_resnet import (
												    RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
												    ResNetBackbone,
												    ResNetForImageClassification,
												    ResNetModel,
												    ResNetPreTrainedModel,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_resnet import (
												    TF_RESNET_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TFResNetForImageClassification,
												    TFResNetModel,
												    TFResNetPreTrainedModel,
												)

						try:
												if not is_flax_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_flax_resnet import FlaxResNetForImageClassification, FlaxResNetModel, FlaxResNetPreTrainedModel


else:
						import sys

						__UpperCamelCase    		=       _LazyModule(__name__, globals()['__file__'], _import_structure)


