



"""simple docstring"""

import json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin







class  __lowercase  (       a__       ,     unittest.TestCase):







						"""simple docstring"""







						_A		:				List[str]											=		XLMTokenizer
						_A		:				Optional[int]											=		False







						def     __UpperCamelCase				(self							):
											super().setUp()

											# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
											snake_case_       :		List[Any]			       =       [
											    """l""",
											    """o""",
											    """w""",
											    """e""",
											    """r""",
											    """s""",
											    """t""",
											    """i""",
											    """d""",
											    """n""",
											    """w</w>""",
											    """r</w>""",
											    """t</w>""",
											    """lo""",
											    """low""",
											    """er</w>""",
											    """low</w>""",
											    """lowest</w>""",
											    """newer</w>""",
											    """wider</w>""",
											    """<unk>""",
											]
											snake_case_       :		Tuple			       =       dict(zip(lowerCamelCase_ ,		range(len(lowerCamelCase_							)							)							)							)
											snake_case_       :		Optional[int]			       =       ["""l o 123""", """lo w 1456""", """e r</w> 1789""", """"""]

											snake_case_       :		Union[str, Any]			       =       os.path.join(self.tmpdirname ,		VOCAB_FILES_NAMES["""vocab_file"""]							)
											snake_case_       :		Optional[int]			       =       os.path.join(self.tmpdirname ,		VOCAB_FILES_NAMES["""merges_file"""]							)
											with open(self.vocab_file ,		"""w"""							) as fp:
																fp.write(json.dumps(lowerCamelCase_							)							)
											with open(self.merges_file ,		"""w"""							) as fp:
																fp.write("""\n""".join(lowerCamelCase_							)							)







						def     __UpperCamelCase				(self ,		lowercase__							):
											snake_case_       :		Optional[Any]			       =       """lower newer"""
											snake_case_       :		Dict			       =       """lower newer"""
											return input_text, output_text







						def     __UpperCamelCase				(self							):
											snake_case_       :		int			       =       XLMTokenizer(self.vocab_file ,		self.merges_file							)

											snake_case_       :		Dict			       =       """lower"""
											snake_case_       :		str			       =       ["""low""", """er</w>"""]
											snake_case_       :		Tuple			       =       tokenizer.tokenize(lowerCamelCase_							)
											self.assertListEqual(lowerCamelCase_ ,		lowerCamelCase_							)

											snake_case_       :		List[Any]			       =       tokens + ["""<unk>"""]
											snake_case_       :		Optional[int]			       =       [14, 15, 20]
											self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase_							) ,		lowerCamelCase_							)







						@slow
						def     __UpperCamelCase				(self							):
											snake_case_       :		Any			       =       XLMTokenizer.from_pretrained("""xlm-mlm-en-2048"""							)

											snake_case_       :		str			       =       tokenizer.encode("""sequence builders""" ,		add_special_tokens=lowerCamelCase_							)
											snake_case_       :		Optional[Any]			       =       tokenizer.encode("""multi-sequence build""" ,		add_special_tokens=lowerCamelCase_							)

											snake_case_       :		Tuple			       =       tokenizer.build_inputs_with_special_tokens(lowerCamelCase_							)
											snake_case_       :		List[Any]			       =       tokenizer.build_inputs_with_special_tokens(lowerCamelCase_ ,		lowerCamelCase_							)

											assert encoded_sentence == [0] + text + [1]
											assert encoded_pair == [0] + text + [1] + text_a + [1]








'''simple docstring'''






from __future__ import annotations


def    _snake_case  (	A			)		->       bool:
							lowerCAmelCase__			  =      str(A			)
							return len(A			) == 9 and set(A			) == set('''123456789'''			)


def    _snake_case  (	)		->       int | None:
							for base_num in range(9999					,       4999					,       -1			):
														lowerCAmelCase__			  =      100002 * base_num
														if is_9_pandigital(A			):
																					return candidate

							for base_num in range(333					,       99					,       -1			):
														lowerCAmelCase__			  =      1002003 * base_num
														if is_9_pandigital(A			):
																					return candidate

							return None


if __name__ == "__main__":
		print(f"""{solution() = }""")