


import itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class        __lowercase       (							a_			,							unittest.TestCase  ):



		"""simple docstring"""

		UpperCamelCase     :					str			       =		LongformerTokenizer
		UpperCamelCase     :					int			       =		True
		UpperCamelCase     :					List[Any]			       =		LongformerTokenizerFast
		UpperCamelCase     :					List[Any]			       =		True







		def 					__A   ( self	)  -> Optional[int]:







					'''simple docstring'''







					super().setUp()

					# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
					lowerCamelCase    		=  [
					    """l""",
					    """o""",
					    """w""",
					    """e""",
					    """r""",
					    """s""",
					    """t""",
					    """i""",
					    """d""",
					    """n""",
					    """\u0120""",
					    """\u0120l""",
					    """\u0120n""",
					    """\u0120lo""",
					    """\u0120low""",
					    """er""",
					    """\u0120lowest""",
					    """\u0120newer""",
					    """\u0120wider""",
					    """<unk>""",
					]
					lowerCamelCase    		=  dict(zip(A		,      range(len(A	)	)	)	)
					lowerCamelCase    		=  ["""#version: 0.2""", """\u0120 l""", """\u0120l o""", """\u0120lo w""", """e r""", """"""]
					lowerCamelCase    		=  {"""unk_token""": """<unk>"""}

					lowerCamelCase    		=  os.path.join(self.tmpdirname		,      VOCAB_FILES_NAMES["""vocab_file"""]	)
					lowerCamelCase    		=  os.path.join(self.tmpdirname		,      VOCAB_FILES_NAMES["""merges_file"""]	)
					with open(self.vocab_file		,      """w"""		,      encoding="""utf-8"""	) as fp:
								fp.write(json.dumps(A	) + """\n"""	)
					with open(self.merges_file		,      """w"""		,      encoding="""utf-8"""	) as fp:
								fp.write("""\n""".join(A	)	)







		def 					__A   ( self		,      **A	)  -> List[Any]:







					'''simple docstring'''







					kwargs.update(self.special_tokens_map	)
					return self.tokenizer_class.from_pretrained(self.tmpdirname		,      **A	)







		def 					__A   ( self		,      **A	)  -> Optional[Any]:







					'''simple docstring'''







					kwargs.update(self.special_tokens_map	)
					return self.rust_tokenizer_class.from_pretrained(self.tmpdirname		,      **A	)







		def 					__A   ( self		,      A	)  -> Tuple:







					'''simple docstring'''







					lowerCamelCase    		=  """lower newer"""
					lowerCamelCase    		=  """lower newer"""
					return input_text, output_text







		def 					__A   ( self	)  -> Tuple:







					'''simple docstring'''







					lowerCamelCase    		=  self.tokenizer_class(self.vocab_file		,      self.merges_file		,      **self.special_tokens_map	)
					lowerCamelCase    		=  """lower newer"""
					lowerCamelCase    		=  ["""l""", """o""", """w""", """er""", """\u0120""", """n""", """e""", """w""", """er"""]
					lowerCamelCase    		=  tokenizer.tokenize(A	)  # , add_prefix_space=True)
					self.assertListEqual(A		,      A	)

					lowerCamelCase    		=  tokens + [tokenizer.unk_token]
					lowerCamelCase    		=  [0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
					self.assertListEqual(tokenizer.convert_tokens_to_ids(A	)		,      A	)







		def 					__A   ( self	)  -> List[str]:







					'''simple docstring'''







					lowerCamelCase    		=  self.get_tokenizer()

					self.assertListEqual(tokenizer.encode("""Hello world!"""		,      add_special_tokens=A	)		,      [0, 3_14_14, 2_32, 3_28, 2]	)
					self.assertListEqual(
					    tokenizer.encode("""Hello world! cécé herlolip 418"""		,      add_special_tokens=A	)		,      [0, 3_14_14, 2_32, 3_28, 7_40, 11_40, 1_26_95, 69, 4_60_78, 15_88, 2]		,      )







		@slow
		def 					__A   ( self	)  -> Optional[Any]:







					'''simple docstring'''







					lowerCamelCase    		=  self.tokenizer_class.from_pretrained("""allenai/longformer-base-4096"""	)

					lowerCamelCase    		=  tokenizer.encode("""sequence builders"""		,      add_special_tokens=A	)
					lowerCamelCase    		=  tokenizer.encode("""multi-sequence build"""		,      add_special_tokens=A	)

					lowerCamelCase    		=  tokenizer.encode(
					    """sequence builders"""		,      add_special_tokens=A		,      add_prefix_space=A	)
					lowerCamelCase    		=  tokenizer.encode(
					    """sequence builders"""		,      """multi-sequence build"""		,      add_special_tokens=A		,      add_prefix_space=A	)

					lowerCamelCase    		=  tokenizer.build_inputs_with_special_tokens(A	)
					lowerCamelCase    		=  tokenizer.build_inputs_with_special_tokens(A		,      A	)

					assert encoded_sentence == encoded_text_from_decode
					assert encoded_pair == encoded_pair_from_decode







		def 					__A   ( self	)  -> Any:







					'''simple docstring'''







					lowerCamelCase    		=  self.get_tokenizer()

					lowerCamelCase    		=  """Encode this sequence."""
					lowerCamelCase    		=  tokenizer.byte_encoder[""" """.encode("""utf-8"""	)[0]]

					# Testing encoder arguments
					lowerCamelCase    		=  tokenizer.encode(A		,      add_special_tokens=A		,      add_prefix_space=A	)
					lowerCamelCase    		=  tokenizer.convert_ids_to_tokens(encoded[0]	)[0]
					self.assertNotEqual(A		,      A	)

					lowerCamelCase    		=  tokenizer.encode(A		,      add_special_tokens=A		,      add_prefix_space=A	)
					lowerCamelCase    		=  tokenizer.convert_ids_to_tokens(encoded[0]	)[0]
					self.assertEqual(A		,      A	)

					tokenizer.add_special_tokens({"""bos_token""": """<s>"""}	)
					lowerCamelCase    		=  tokenizer.encode(A		,      add_special_tokens=A	)
					lowerCamelCase    		=  tokenizer.convert_ids_to_tokens(encoded[1]	)[0]
					self.assertNotEqual(A		,      A	)

					# Testing spaces after special tokens
					lowerCamelCase    		=  """<mask>"""
					tokenizer.add_special_tokens(
					    {"""mask_token""": AddedToken(A		,      lstrip=A		,      rstrip=A	)}	)  # mask token has a left space
					lowerCamelCase    		=  tokenizer.convert_tokens_to_ids(A	)

					lowerCamelCase    		=  """Encode <mask> sequence"""
					lowerCamelCase    		=  """Encode <mask>sequence"""

					lowerCamelCase    		=  tokenizer.encode(A	)
					lowerCamelCase    		=  encoded.index(A	)
					lowerCamelCase    		=  tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]	)[0]
					self.assertEqual(A		,      A	)

					lowerCamelCase    		=  tokenizer.encode(A	)
					lowerCamelCase    		=  encoded.index(A	)
					lowerCamelCase    		=  tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]	)[0]
					self.assertNotEqual(A		,      A	)







		def 					__A   ( self	)  -> Any:







					'''simple docstring'''







					pass







		def 					__A   ( self	)  -> Dict:







					'''simple docstring'''







					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
								with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'	):
											lowerCamelCase    		=  self.rust_tokenizer_class.from_pretrained(A		,      **A	)
											lowerCamelCase    		=  self.tokenizer_class.from_pretrained(A		,      **A	)
											lowerCamelCase    		=  """A, <mask> AllenNLP sentence."""
											lowerCamelCase    		=  tokenizer_r.encode_plus(A		,      add_special_tokens=A		,      return_token_type_ids=A	)
											lowerCamelCase    		=  tokenizer_p.encode_plus(A		,      add_special_tokens=A		,      return_token_type_ids=A	)

											# token_type_ids should put 0 everywhere
											self.assertEqual(sum(tokens_r["""token_type_ids"""]	)		,      sum(tokens_p["""token_type_ids"""]	)	)

											# attention_mask should put 1 everywhere, so sum over length should be 1
											self.assertEqual(
											    sum(tokens_r["""attention_mask"""]	) / len(tokens_r["""attention_mask"""]	)		,      sum(tokens_p["""attention_mask"""]	) / len(tokens_p["""attention_mask"""]	)		,      )

											lowerCamelCase    		=  tokenizer_r.convert_ids_to_tokens(tokens_r["""input_ids"""]	)
											lowerCamelCase    		=  tokenizer_p.convert_ids_to_tokens(tokens_p["""input_ids"""]	)

											# Rust correctly handles the space before the mask while python doesnt
											self.assertSequenceEqual(tokens_p["""input_ids"""]		,      [0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2]	)
											self.assertSequenceEqual(tokens_r["""input_ids"""]		,      [0, 2_50, 6, 5_02_64, 38_23, 4_87, 2_19_92, 36_45, 4, 2]	)

											self.assertSequenceEqual(
											    A		,      ["""<s>""", """A""", """,""", """<mask>""", """ĠAllen""", """N""", """LP""", """Ġsentence""", """.""", """</s>"""]	)
											self.assertSequenceEqual(
											    A		,      ["""<s>""", """A""", """,""", """<mask>""", """ĠAllen""", """N""", """LP""", """Ġsentence""", """.""", """</s>"""]	)







		def 					__A   ( self	)  -> Any:







					'''simple docstring'''







					for trim_offsets, add_prefix_space in itertools.product([True, False]		,      repeat=2	):
								lowerCamelCase    		=  self.rust_tokenizer_class.from_pretrained(
								    self.tmpdirname		,      use_fast=A		,      add_prefix_space=A		,      trim_offsets=A	)

								lowerCamelCase    		=  json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()	)
								lowerCamelCase    		=  json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()	)

								self.assertEqual(pre_tokenizer_state["""add_prefix_space"""]		,      A	)

								self.assertEqual(post_processor_state["""add_prefix_space"""]		,      A	)
								self.assertEqual(post_processor_state["""trim_offsets"""]		,      A	)







		def 					__A   ( self	)  -> str:







					'''simple docstring'''







					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
								with self.subTest(F'{tokenizer.__class__.__name__} ({pretrained_name})'	):
											lowerCamelCase    		=  """hello"""  # `hello` is a token in the vocabulary of `pretrained_name`
											lowerCamelCase    		=  F'{text_of_1_token} {text_of_1_token}'

											lowerCamelCase    		=  self.rust_tokenizer_class.from_pretrained(
											    A		,      use_fast=A		,      add_prefix_space=A		,      trim_offsets=A	)
											lowerCamelCase    		=  tokenizer_r(A		,      return_offsets_mapping=A		,      add_special_tokens=A	)
											self.assertEqual(encoding.offset_mapping[0]		,      (0, len(A	))	)
											self.assertEqual(
											    encoding.offset_mapping[1]		,      (len(A	) + 1, len(A	) + 1 + len(A	))		,      )

											lowerCamelCase    		=  self.rust_tokenizer_class.from_pretrained(
											    A		,      use_fast=A		,      add_prefix_space=A		,      trim_offsets=A	)
											lowerCamelCase    		=  tokenizer_r(A		,      return_offsets_mapping=A		,      add_special_tokens=A	)
											self.assertEqual(encoding.offset_mapping[0]		,      (0, len(A	))	)
											self.assertEqual(
											    encoding.offset_mapping[1]		,      (len(A	) + 1, len(A	) + 1 + len(A	))		,      )

											lowerCamelCase    		=  self.rust_tokenizer_class.from_pretrained(
											    A		,      use_fast=A		,      add_prefix_space=A		,      trim_offsets=A	)
											lowerCamelCase    		=  tokenizer_r(A		,      return_offsets_mapping=A		,      add_special_tokens=A	)
											self.assertEqual(encoding.offset_mapping[0]		,      (0, len(A	))	)
											self.assertEqual(
											    encoding.offset_mapping[1]		,      (len(A	), len(A	) + 1 + len(A	))		,      )

											lowerCamelCase    		=  self.rust_tokenizer_class.from_pretrained(
											    A		,      use_fast=A		,      add_prefix_space=A		,      trim_offsets=A	)
											lowerCamelCase    		=  tokenizer_r(A		,      return_offsets_mapping=A		,      add_special_tokens=A	)
											self.assertEqual(encoding.offset_mapping[0]		,      (0, len(A	))	)
											self.assertEqual(
											    encoding.offset_mapping[1]		,      (len(A	), len(A	) + 1 + len(A	))		,      )

											lowerCamelCase    		=  F' {text}'

											# tokenizer_r = self.rust_tokenizer_class.from_pretrained(
											#     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
											# )
											# encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
											# self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
											# self.assertEqual(
											#     encoding.offset_mapping[1],
											#     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
											# )

											lowerCamelCase    		=  self.rust_tokenizer_class.from_pretrained(
											    A		,      use_fast=A		,      add_prefix_space=A		,      trim_offsets=A	)
											lowerCamelCase    		=  tokenizer_r(A		,      return_offsets_mapping=A		,      add_special_tokens=A	)
											self.assertEqual(encoding.offset_mapping[0]		,      (1, 1 + len(A	))	)
											self.assertEqual(
											    encoding.offset_mapping[1]		,      (1 + len(A	) + 1, 1 + len(A	) + 1 + len(A	))		,      )

											lowerCamelCase    		=  self.rust_tokenizer_class.from_pretrained(
											    A		,      use_fast=A		,      add_prefix_space=A		,      trim_offsets=A	)
											lowerCamelCase    		=  tokenizer_r(A		,      return_offsets_mapping=A		,      add_special_tokens=A	)
											self.assertEqual(encoding.offset_mapping[0]		,      (0, 1 + len(A	))	)
											self.assertEqual(
											    encoding.offset_mapping[1]		,      (1 + len(A	), 1 + len(A	) + 1 + len(A	))		,      )

											lowerCamelCase    		=  self.rust_tokenizer_class.from_pretrained(
											    A		,      use_fast=A		,      add_prefix_space=A		,      trim_offsets=A	)
											lowerCamelCase    		=  tokenizer_r(A		,      return_offsets_mapping=A		,      add_special_tokens=A	)
											self.assertEqual(encoding.offset_mapping[0]		,      (0, 1 + len(A	))	)
											self.assertEqual(
											    encoding.offset_mapping[1]		,      (1 + len(A	), 1 + len(A	) + 1 + len(A	))		,      )





def 	__lowerCamelCase						(							lowerCamelCase__		:						int      ):





			'''simple docstring'''




			lowerCamelCase    		=  (1 + 24 * n) ** 0.5
			return ((1 + root) / 6) % 1 == 0






def 	__lowerCamelCase						(							lowerCamelCase__		:						int = 5000      ):





			'''simple docstring'''




			lowerCamelCase    		=  [(i * (3 * i - 1)) // 2 for i in range(1  ,							lowerCamelCase__      )]
			for i, pentagonal_i in enumerate(lowerCamelCase__      ):
						for j in range(lowerCamelCase__  ,							len(lowerCamelCase__      )      ):
									lowerCamelCase    		=  pentagonal_nums[j]
									lowerCamelCase    		=  pentagonal_i + pentagonal_j
									lowerCamelCase    		=  pentagonal_j - pentagonal_i
									if is_pentagonal(lowerCamelCase__      ) and is_pentagonal(lowerCamelCase__      ):
												return b

			return -1


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

