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        UpperCamelCase						(				__a	,	unittest.TestCase				):
						a__		:List[str]      =			MobileBertTokenizer
						a__		:str      =			MobileBertTokenizerFast
						a__		:Optional[int]      =			True
						a__		:List[Any]      =			True
						a__		:Union[str, Any]      =			filter_non_english
						a__		:Union[str, Any]      =			'''google/mobilebert-uncased'''





						def        A_							(self						)				->				List[Any]:
												super().setUp()

												UpperCamelCase_		:							List[str]  =		[
												    """[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]						)						)

												UpperCamelCase_		:							Any  =		[
												    (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        A_							(self			,     __UpperCamelCase						)				->				Tuple:
												UpperCamelCase_		:							Union[str, Any]  =		"""UNwant\u00E9d,running"""
												UpperCamelCase_		:							Tuple  =		"""unwanted, running"""
												return input_text, output_text





						def        A_							(self						)				->				int:
												UpperCamelCase_		:							List[str]  =		self.tokenizer_class(self.vocab_file						)

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





						def        A_							(self						)				->				Any:
												if not self.test_rust_tokenizer:
																		return

												UpperCamelCase_		:							Optional[int]  =		self.get_tokenizer()
												UpperCamelCase_		:							Optional[int]  =		self.get_rust_tokenizer()

												UpperCamelCase_		:							Any  =		"""UNwant\u00E9d,running"""

												UpperCamelCase_		:							List[str]  =		tokenizer.tokenize(__UpperCamelCase						)
												UpperCamelCase_		:							Tuple  =		rust_tokenizer.tokenize(__UpperCamelCase						)
												self.assertListEqual(__UpperCamelCase			,     __UpperCamelCase						)

												UpperCamelCase_		:							Tuple  =		tokenizer.encode(__UpperCamelCase			,     add_special_tokens=__UpperCamelCase						)
												UpperCamelCase_		:							List[Any]  =		rust_tokenizer.encode(__UpperCamelCase			,     add_special_tokens=__UpperCamelCase						)
												self.assertListEqual(__UpperCamelCase			,     __UpperCamelCase						)

												UpperCamelCase_		:							List[str]  =		self.get_rust_tokenizer()
												UpperCamelCase_		:							Tuple  =		tokenizer.encode(__UpperCamelCase						)
												UpperCamelCase_		:							Tuple  =		rust_tokenizer.encode(__UpperCamelCase						)
												self.assertListEqual(__UpperCamelCase			,     __UpperCamelCase						)

												# With lower casing
												UpperCamelCase_		:							List[Any]  =		self.get_tokenizer(do_lower_case=__UpperCamelCase						)
												UpperCamelCase_		:							Dict  =		self.get_rust_tokenizer(do_lower_case=__UpperCamelCase						)

												UpperCamelCase_		:							str  =		"""UNwant\u00E9d,running"""

												UpperCamelCase_		:							Tuple  =		tokenizer.tokenize(__UpperCamelCase						)
												UpperCamelCase_		:							int  =		rust_tokenizer.tokenize(__UpperCamelCase						)
												self.assertListEqual(__UpperCamelCase			,     __UpperCamelCase						)

												UpperCamelCase_		:							Optional[int]  =		tokenizer.encode(__UpperCamelCase			,     add_special_tokens=__UpperCamelCase						)
												UpperCamelCase_		:							Tuple  =		rust_tokenizer.encode(__UpperCamelCase			,     add_special_tokens=__UpperCamelCase						)
												self.assertListEqual(__UpperCamelCase			,     __UpperCamelCase						)

												UpperCamelCase_		:							List[Any]  =		self.get_rust_tokenizer()
												UpperCamelCase_		:							Optional[Any]  =		tokenizer.encode(__UpperCamelCase						)
												UpperCamelCase_		:							Union[str, Any]  =		rust_tokenizer.encode(__UpperCamelCase						)
												self.assertListEqual(__UpperCamelCase			,     __UpperCamelCase						)





						def        A_							(self						)				->				Tuple:
												UpperCamelCase_		:							Tuple  =		BasicTokenizer()

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





						def        A_							(self						)				->				Optional[Any]:
												UpperCamelCase_		:							Any  =		BasicTokenizer(do_lower_case=__UpperCamelCase						)

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





						def        A_							(self						)				->				Any:
												UpperCamelCase_		:							Union[str, Any]  =		BasicTokenizer(do_lower_case=__UpperCamelCase			,     strip_accents=__UpperCamelCase						)

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





						def        A_							(self						)				->				Optional[Any]:
												UpperCamelCase_		:							Tuple  =		BasicTokenizer(do_lower_case=__UpperCamelCase			,     strip_accents=__UpperCamelCase						)

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





						def        A_							(self						)				->				List[Any]:
												UpperCamelCase_		:							Optional[int]  =		BasicTokenizer(do_lower_case=__UpperCamelCase						)

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





						def        A_							(self						)				->				str:
												UpperCamelCase_		:							Union[str, Any]  =		BasicTokenizer(do_lower_case=__UpperCamelCase						)

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





						def        A_							(self						)				->				List[Any]:
												UpperCamelCase_		:							Union[str, Any]  =		BasicTokenizer(do_lower_case=__UpperCamelCase			,     strip_accents=__UpperCamelCase						)

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





						def        A_							(self						)				->				int:
												UpperCamelCase_		:							int  =		BasicTokenizer(do_lower_case=__UpperCamelCase			,     strip_accents=__UpperCamelCase						)

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





						def        A_							(self						)				->				Tuple:
												UpperCamelCase_		:							str  =		BasicTokenizer(do_lower_case=__UpperCamelCase			,     never_split=["""[UNK]"""]						)

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





						def        A_							(self						)				->				List[str]:
												UpperCamelCase_		:							Any  =		["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

												UpperCamelCase_		:							List[str]  =		{}
												for i, token in enumerate(__UpperCamelCase						):
																		UpperCamelCase_		:							Any  =		i
												UpperCamelCase_		:							Tuple  =		WordpieceTokenizer(vocab=__UpperCamelCase			,     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        A_							(self						)				->				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        A_							(self						)				->				Dict:
												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        A_							(self						)				->				Any:
												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        A_							(self						)				->				Any:
												UpperCamelCase_		:							Optional[Any]  =		self.get_tokenizer()
												UpperCamelCase_		:							str  =		self.get_rust_tokenizer()

												# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
												self.assertListEqual([tokenizer.tokenize(__UpperCamelCase						) for t in ["""Test""", """\xad""", """test"""]]			,     [["""[UNK]"""], [], ["""[UNK]"""]]						)

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





						@slow
						def        A_							(self						)				->				List[Any]:
												UpperCamelCase_		:							Union[str, Any]  =		self.tokenizer_class.from_pretrained("""google/mobilebert-uncased"""						)

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

												UpperCamelCase_		:							Tuple  =		tokenizer.build_inputs_with_special_tokens(__UpperCamelCase						)
												UpperCamelCase_		:							Dict  =		tokenizer.build_inputs_with_special_tokens(__UpperCamelCase			,     __UpperCamelCase						)

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





						def        A_							(self						)				->				int:
												for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																		with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''						):
																								UpperCamelCase_		:							Dict  =		self.rust_tokenizer_class.from_pretrained(__UpperCamelCase			,     **__UpperCamelCase						)

																								UpperCamelCase_		:							Dict  =		f'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
																								UpperCamelCase_		:							Tuple  =		tokenizer_r.encode_plus(
																								    __UpperCamelCase			,     return_attention_mask=__UpperCamelCase			,     return_token_type_ids=__UpperCamelCase			,     return_offsets_mapping=__UpperCamelCase			,     add_special_tokens=__UpperCamelCase			,     )

																								UpperCamelCase_		:							List[Any]  =		tokenizer_r.do_lower_case if hasattr(__UpperCamelCase			,     """do_lower_case"""						) else False
																								UpperCamelCase_		:							Optional[Any]  =		(
																								    [
																								        ((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        A_							(self						)				->				Dict:
												UpperCamelCase_		:							Optional[Any]  =		["""的""", """人""", """有"""]
												UpperCamelCase_		:							int  =		"""""".join(__UpperCamelCase						)
												for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																		with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''						):
																								UpperCamelCase_		:							Union[str, Any]  =		True
																								UpperCamelCase_		:							Union[str, Any]  =		self.tokenizer_class.from_pretrained(__UpperCamelCase			,     **__UpperCamelCase						)
																								UpperCamelCase_		:							Tuple  =		self.rust_tokenizer_class.from_pretrained(__UpperCamelCase			,     **__UpperCamelCase						)

																								UpperCamelCase_		:							Any  =		tokenizer_p.encode(__UpperCamelCase			,     add_special_tokens=__UpperCamelCase						)
																								UpperCamelCase_		:							List[str]  =		tokenizer_r.encode(__UpperCamelCase			,     add_special_tokens=__UpperCamelCase						)

																								UpperCamelCase_		:							Dict  =		tokenizer_r.convert_ids_to_tokens(__UpperCamelCase						)
																								UpperCamelCase_		:							str  =		tokenizer_p.convert_ids_to_tokens(__UpperCamelCase						)

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

																								UpperCamelCase_		:							List[Any]  =		False
																								UpperCamelCase_		:							Optional[int]  =		self.rust_tokenizer_class.from_pretrained(__UpperCamelCase			,     **__UpperCamelCase						)
																								UpperCamelCase_		:							Any  =		self.tokenizer_class.from_pretrained(__UpperCamelCase			,     **__UpperCamelCase						)

																								UpperCamelCase_		:							Union[str, Any]  =		tokenizer_r.encode(__UpperCamelCase			,     add_special_tokens=__UpperCamelCase						)
																								UpperCamelCase_		:							Optional[Any]  =		tokenizer_p.encode(__UpperCamelCase			,     add_special_tokens=__UpperCamelCase						)

																								UpperCamelCase_		:							Tuple  =		tokenizer_r.convert_ids_to_tokens(__UpperCamelCase						)
																								UpperCamelCase_		:							List[str]  =		tokenizer_p.convert_ids_to_tokens(__UpperCamelCase						)

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







from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE		:     int         =	logging.get_logger(__name__)

SCREAMING_SNAKE_CASE		:     Union[str, Any]         =	{
    # See all MEGATRON_BERT models at https://huggingface.co/models?filter=bert
}

class        UpperCamelCase						(				__a				):
						a__		:List[str]      =			'''megatron-bert'''





						def __init__(self			,     __UpperCamelCase=29_056			,     __UpperCamelCase=1_024			,     __UpperCamelCase=24			,     __UpperCamelCase=16			,     __UpperCamelCase=4_096			,     __UpperCamelCase="gelu"			,     __UpperCamelCase=0.1			,     __UpperCamelCase=0.1			,     __UpperCamelCase=512			,     __UpperCamelCase=2			,     __UpperCamelCase=0.02			,     __UpperCamelCase=1E-1_2			,     __UpperCamelCase=0			,     __UpperCamelCase="absolute"			,     __UpperCamelCase=True			,     **__UpperCamelCase			,     )				->				List[Any]:
												super().__init__(pad_token_id=__UpperCamelCase			,     **__UpperCamelCase						)

												UpperCamelCase_		:							Union[str, Any]  =		vocab_size
												UpperCamelCase_		:							Union[str, Any]  =		hidden_size
												UpperCamelCase_		:							Any  =		num_hidden_layers
												UpperCamelCase_		:							str  =		num_attention_heads
												UpperCamelCase_		:							List[Any]  =		hidden_act
												UpperCamelCase_		:							Dict  =		intermediate_size
												UpperCamelCase_		:							Optional[int]  =		hidden_dropout_prob
												UpperCamelCase_		:							Dict  =		attention_probs_dropout_prob
												UpperCamelCase_		:							Any  =		max_position_embeddings
												UpperCamelCase_		:							str  =		type_vocab_size
												UpperCamelCase_		:							Tuple  =		initializer_range
												UpperCamelCase_		:							List[str]  =		layer_norm_eps
												UpperCamelCase_		:							Tuple  =		position_embedding_type
												UpperCamelCase_		:							Tuple  =		use_cache






