
'''simple docstring'''
import unittest

from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowercase__											=get_tests_dir('fixtures/test_sentencepiece.model')







@require_sentencepiece
class   a_ (      UpperCamelCase__		,  unittest.TestCase					):
			lowerCamelCase__	:			List[Any]       =    XLMProphetNetTokenizer
			lowerCamelCase__	:			Optional[Any]       =    False
			lowerCamelCase__	:			Union[str, Any]       =    True




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

				# We have a SentencePiece fixture for testing
				a_      				=						XLMProphetNetTokenizer(UpperCAmelCase					,   keep_accents=UpperCAmelCase	)
				tokenizer.save_pretrained(self.tmpdirname	)




			def 					lowerCAmelCase__					(       self	):
				a_      				=						"""[PAD]"""
				a_      				=						0

				self.assertEqual(self.get_tokenizer()._convert_token_to_id(UpperCAmelCase	)					,   UpperCAmelCase	)
				self.assertEqual(self.get_tokenizer()._convert_id_to_token(UpperCAmelCase	)					,   UpperCAmelCase	)




			def 					lowerCAmelCase__					(       self	):
				a_      				=						list(self.get_tokenizer().get_vocab().keys()	)

				self.assertEqual(vocab_keys[0]					,   """[PAD]"""	)
				self.assertEqual(vocab_keys[1]					,   """[CLS]"""	)
				self.assertEqual(vocab_keys[-1]					,   """j"""	)
				self.assertEqual(len(UpperCAmelCase	)					,   10_12	)




			def 					lowerCAmelCase__					(       self	):
				self.assertEqual(self.get_tokenizer().vocab_size					,   10_12	)




			def 					lowerCAmelCase__					(       self	):
				a_      				=						XLMProphetNetTokenizer(UpperCAmelCase					,   keep_accents=UpperCAmelCase	)

				a_      				=						tokenizer.tokenize("""This is a test"""	)
				self.assertListEqual(UpperCAmelCase					,   ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]	)

				self.assertListEqual(
				    tokenizer.convert_tokens_to_ids(UpperCAmelCase	)					,   [value + tokenizer.fairseq_offset for value in [2_85, 46, 10, 1_70, 3_82]]					,   )

				a_      				=						tokenizer.tokenize("""I was born in 92000, and this is falsé."""	)
				self.assertListEqual(
				    UpperCAmelCase					,   [
				        SPIECE_UNDERLINE + """I""",
				        SPIECE_UNDERLINE + """was""",
				        SPIECE_UNDERLINE + """b""",
				        """or""",
				        """n""",
				        SPIECE_UNDERLINE + """in""",
				        SPIECE_UNDERLINE + """""",
				        """9""",
				        """2""",
				        """0""",
				        """0""",
				        """0""",
				        """,""",
				        SPIECE_UNDERLINE + """and""",
				        SPIECE_UNDERLINE + """this""",
				        SPIECE_UNDERLINE + """is""",
				        SPIECE_UNDERLINE + """f""",
				        """al""",
				        """s""",
				        """é""",
				        """.""",
				    ]					,   )
				a_      				=						tokenizer.convert_tokens_to_ids(UpperCAmelCase	)
				self.assertListEqual(
				    UpperCAmelCase					,   [
				        value + tokenizer.fairseq_offset
				        for value in [8, 21, 84, 55, 24, 19, 7, -9, 6_02, 3_47, 3_47, 3_47, 3, 12, 66, 46, 72, 80, 6, -9, 4]
				    ]					,   )

				a_      				=						tokenizer.convert_ids_to_tokens(UpperCAmelCase	)
				self.assertListEqual(
				    UpperCAmelCase					,   [
				        SPIECE_UNDERLINE + """I""",
				        SPIECE_UNDERLINE + """was""",
				        SPIECE_UNDERLINE + """b""",
				        """or""",
				        """n""",
				        SPIECE_UNDERLINE + """in""",
				        SPIECE_UNDERLINE + """""",
				        """[UNK]""",
				        """2""",
				        """0""",
				        """0""",
				        """0""",
				        """,""",
				        SPIECE_UNDERLINE + """and""",
				        SPIECE_UNDERLINE + """this""",
				        SPIECE_UNDERLINE + """is""",
				        SPIECE_UNDERLINE + """f""",
				        """al""",
				        """s""",
				        """[UNK]""",
				        """.""",
				    ]					,   )




			@cached_property
			def 					lowerCAmelCase__					(       self	):
				return XLMProphetNetTokenizer.from_pretrained("""microsoft/xprophetnet-large-wiki100-cased"""	)




			@slow
			def 					lowerCAmelCase__					(       self	):
				a_      				=						"""Hello World!"""
				a_      				=						[3_53_89, 66_72, 49, 2]
				self.assertListEqual(UpperCAmelCase					,   self.big_tokenizer.encode(UpperCAmelCase	)	)






			@slow
			def 					lowerCAmelCase__					(       self	):
				# fmt: off
				a_      				=						{"""input_ids""": [[1_10_73, 8_27_83, 18, 26, 8_27_83, 5_49, 5_15_40, 2_48, 1_72_09, 13_01, 2_17, 20, 21_51_86, 13_25, 1_47, 1_72_09, 13_01, 2_17, 20, 5_63_70, 53, 12_20_20, 20, 1_64_77, 27, 8_73_55, 45_48, 20, 47_28, 7_83_92, 17, 15_99_69, 18, 26, 2_44_91, 6_29, 15, 5_38, 2_27_04, 54_39, 15, 27_88, 2_44_91, 98_85, 15, 4_35_34, 6_05, 15, 8_14, 1_84_03, 3_32_00, 29, 15, 4_35_34, 2_44_58, 1_24_10, 1_11, 2_49_66, 8_36_69, 96_37, 14_40_68, 26, 8_50, 2_23_46, 27, 1_47, 2_49_66, 8_36_69, 8_34_90, 26, 3_91_13, 7_35, 27, 6_89, 6_56, 28_00, 13_39, 46_00, 53, 12_20_20, 11_57_85, 34, 8_16, 13_39, 4_68_87, 18, 1_47, 5_39_05, 19_51, 4_22_38, 4_11_70, 1_77_32, 8_34, 4_36, 15, 2_75_23, 9_87_33, 2_17, 1_47, 55_42, 49_81, 9_30, 1_73_47, 16, 2], [2_00_91, 6_29, 94, 8_27_86, 58, 4_90, 20, 15_28, 84, 5_39_05, 3_44, 8_05_92, 11_01_28, 1_88_22, 52_67, 13_06, 62, 15_25_37, 3_08, 79_97, 4_01, 12_44_27, 5_49, 3_54_42, 2_25, 1_09, 1_50_55, 2_57_48, 1_47, 71_19, 4_37_12, 34, 7_67, 13_53_66, 18, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5_92, 6_37_84, 11_94_66, 17, 14_78_08, 8_82_14, 18, 6_56, 81, 32, 32_96, 1_02_80, 16, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
				# fmt: on

				self.tokenizer_integration_test_util(
				    expected_encoding=UpperCAmelCase					,   model_name="""microsoft/xprophetnet-large-wiki100-cased"""					,   revision="""1acad1643ddd54a44df6a1b797ada8373685d90e"""					,   )


'''simple docstring'''
import re






def      UpperCamelCase_				(      A__						):
	a_      				=						re.compile(r"""^(\+91[\-\s]?)?[0]?(91)?[789]\d{9}$"""						)
	if match := re.search(A__  ,      A__						):
		return match.string == phone
	return False


if __name__ == "__main__":
		print(indian_phone_validator('+918827897895'))
