



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 	_lowercase							(   lowerCAmelCase,      unittest.TestCase	):





	"""simple docstring"""
	__A							=							MobileBertTokenizer
	__A							=							MobileBertTokenizerFast
	__A							=							True
	__A							=							True
	__A							=							filter_non_english
	__A							=							"google/mobilebert-uncased"




	def      UpperCamelCase_       (self		):
						"""simple docstring"""

						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      UpperCamelCase_       (self		,       lowerCamelCase_		):
						"""simple docstring"""

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




	def      UpperCamelCase_       (self		):
						"""simple docstring"""

						a					     =   self.tokenizer_class(self.vocab_file		)

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




	def      UpperCamelCase_       (self		):
						"""simple docstring"""

						if not self.test_rust_tokenizer:
											return

						a					     =   self.get_tokenizer()
						a					     =   self.get_rust_tokenizer()

						a					     =   "UNwant\u00E9d,running"

						a					     =   tokenizer.tokenize(lowerCamelCase_		)
						a					     =   rust_tokenizer.tokenize(lowerCamelCase_		)
						self.assertListEqual(lowerCamelCase_		,       lowerCamelCase_		)

						a					     =   tokenizer.encode(lowerCamelCase_		,       add_special_tokens=lowerCamelCase_		)
						a					     =   rust_tokenizer.encode(lowerCamelCase_		,       add_special_tokens=lowerCamelCase_		)
						self.assertListEqual(lowerCamelCase_		,       lowerCamelCase_		)

						a					     =   self.get_rust_tokenizer()
						a					     =   tokenizer.encode(lowerCamelCase_		)
						a					     =   rust_tokenizer.encode(lowerCamelCase_		)
						self.assertListEqual(lowerCamelCase_		,       lowerCamelCase_		)

						# With lower casing
						a					     =   self.get_tokenizer(do_lower_case=lowerCamelCase_		)
						a					     =   self.get_rust_tokenizer(do_lower_case=lowerCamelCase_		)

						a					     =   "UNwant\u00E9d,running"

						a					     =   tokenizer.tokenize(lowerCamelCase_		)
						a					     =   rust_tokenizer.tokenize(lowerCamelCase_		)
						self.assertListEqual(lowerCamelCase_		,       lowerCamelCase_		)

						a					     =   tokenizer.encode(lowerCamelCase_		,       add_special_tokens=lowerCamelCase_		)
						a					     =   rust_tokenizer.encode(lowerCamelCase_		,       add_special_tokens=lowerCamelCase_		)
						self.assertListEqual(lowerCamelCase_		,       lowerCamelCase_		)

						a					     =   self.get_rust_tokenizer()
						a					     =   tokenizer.encode(lowerCamelCase_		)
						a					     =   rust_tokenizer.encode(lowerCamelCase_		)
						self.assertListEqual(lowerCamelCase_		,       lowerCamelCase_		)




	def      UpperCamelCase_       (self		):
						"""simple docstring"""

						a					     =   BasicTokenizer()

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




	def      UpperCamelCase_       (self		):
						"""simple docstring"""

						a					     =   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      UpperCamelCase_       (self		):
						"""simple docstring"""

						a					     =   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      UpperCamelCase_       (self		):
						"""simple docstring"""

						a					     =   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      UpperCamelCase_       (self		):
						"""simple docstring"""

						a					     =   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      UpperCamelCase_       (self		):
						"""simple docstring"""

						a					     =   BasicTokenizer(do_lower_case=lowerCamelCase_		)

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




	def      UpperCamelCase_       (self		):
						"""simple docstring"""

						a					     =   BasicTokenizer(do_lower_case=lowerCamelCase_		,       strip_accents=lowerCamelCase_		)

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




	def      UpperCamelCase_       (self		):
						"""simple docstring"""

						a					     =   BasicTokenizer(do_lower_case=lowerCamelCase_		,       strip_accents=lowerCamelCase_		)

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




	def      UpperCamelCase_       (self		):
						"""simple docstring"""

						a					     =   BasicTokenizer(do_lower_case=lowerCamelCase_		,       never_split=["[UNK]"]		)

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




	def      UpperCamelCase_       (self		):
						"""simple docstring"""

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

						a					     =   {}
						for i, token in enumerate(lowerCamelCase_		):
											a					     =   i
						a					     =   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"]		)




	def      UpperCamelCase_       (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      UpperCamelCase_       (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      UpperCamelCase_       (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      UpperCamelCase_       (self		):
						"""simple docstring"""

						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(lowerCamelCase_		) for t in ["Test", "\xad", "test"]]		,       [["[UNK]"], [], ["[UNK]"]]		)

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




	@slow
	def      UpperCamelCase_       (self		):
						"""simple docstring"""

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

						a					     =   tokenizer.encode("sequence builders"		,       add_special_tokens=lowerCamelCase_		)
						a					     =   tokenizer.encode("multi-sequence build"		,       add_special_tokens=lowerCamelCase_		)

						a					     =   tokenizer.build_inputs_with_special_tokens(lowerCamelCase_		)
						a					     =   tokenizer.build_inputs_with_special_tokens(lowerCamelCase_		,       lowerCamelCase_		)

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




	def      UpperCamelCase_       (self		):
						"""simple docstring"""

						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(lowerCamelCase_		,       **lowerCamelCase_		)

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

																a					     =   tokenizer_r.do_lower_case if hasattr(lowerCamelCase_		,       "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, 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      UpperCamelCase_       (self		):
						"""simple docstring"""

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

																a					     =   tokenizer_p.encode(lowerCamelCase_		,       add_special_tokens=lowerCamelCase_		)
																a					     =   tokenizer_r.encode(lowerCamelCase_		,       add_special_tokens=lowerCamelCase_		)

																a					     =   tokenizer_r.convert_ids_to_tokens(lowerCamelCase_		)
																a					     =   tokenizer_p.convert_ids_to_tokens(lowerCamelCase_		)

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

																a					     =   False
																a					     =   self.rust_tokenizer_class.from_pretrained(lowerCamelCase_		,       **lowerCamelCase_		)
																a					     =   self.tokenizer_class.from_pretrained(lowerCamelCase_		,       **lowerCamelCase_		)

																a					     =   tokenizer_r.encode(lowerCamelCase_		,       add_special_tokens=lowerCamelCase_		)
																a					     =   tokenizer_p.encode(lowerCamelCase_		,       add_special_tokens=lowerCamelCase_		)

																a					     =   tokenizer_r.convert_ids_to_tokens(lowerCamelCase_		)
																a					     =   tokenizer_p.convert_ids_to_tokens(lowerCamelCase_		)

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





_lowercase: Dict      			=		[
    (1000, "M"),
    (900, "CM"),
    (500, "D"),
    (400, "CD"),
    (100, "C"),
    (90, "XC"),
    (50, "L"),
    (40, "XL"),
    (10, "X"),
    (9, "IX"),
    (5, "V"),
    (4, "IV"),
    (1, "I"),
]






def     a(      A       :    str       )		->       int:
					"""simple docstring"""





					a					     =   {"I": 1, "V": 5, "X": 10, "L": 50, "C": 100, "D": 500, "M": 1000}
					a					     =   0
					a					     =   0
					while place < len(A       ):
										if (place + 1 < len(A       )) and (vals[roman[place]] < vals[roman[place + 1]]):
															total += vals[roman[place + 1]] - vals[roman[place]]
															place += 2
										else:
															total += vals[roman[place]]
															place += 1
					return total






def     a(      A       :    int       )		->       str:
					"""simple docstring"""





					a					     =   []
					for arabic, roman in ROMAN:
										((a)     ,				(a))					     =   divmod(A ,     A       )
										result.append(roman * factor       )
										if number == 0:
															break
					return "".join(A       )


if __name__ == "__main__":
				import doctest

				doctest.testmod()
