




import json
import os
import unittest

from transformers import HerbertTokenizer, HerbertTokenizerFast
from transformers.models.herbert.tokenization_herbert import VOCAB_FILES_NAMES
from transformers.testing_utils import get_tests_dir, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class       lowercase_		(SCREAMING_SNAKE_CASE__       ,  unittest.TestCase   ):
						lowerCAmelCase__ 			=HerbertTokenizer
						lowerCAmelCase__ 			=HerbertTokenizerFast
						lowerCAmelCase__ 			=True



						def   __a				( self  :      List[Any]     ):

								"""simple docstring"""

								super().setUp()

								# Use a simpler test file without japanese/chinese characters
								with open(f'''{get_tests_dir()}/fixtures/sample_text_no_unicode.txt'''				,       encoding='utf-8'     ) as f_data:
										SCREAMING_SNAKE_CASE_							=       f_data.read().replace('\n\n'				,       '\n'     ).strip()

								SCREAMING_SNAKE_CASE_							=       [
								    '<s>',
								    '</s>',
								    '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>',
								    ',</w>',
								    '<unk>',
								]
								SCREAMING_SNAKE_CASE_							=       dict(zip(snake_case__				,       range(len(snake_case__     )     )     )     )
								SCREAMING_SNAKE_CASE_							=       ['l o 123', 'lo w 1456', 'e r</w> 1789', '']

								SCREAMING_SNAKE_CASE_							=       os.path.join(self.tmpdirname				,       VOCAB_FILES_NAMES['vocab_file']     )
								SCREAMING_SNAKE_CASE_							=       os.path.join(self.tmpdirname				,       VOCAB_FILES_NAMES['merges_file']     )
								with open(self.vocab_file				,       'w'     ) as fp:
										fp.write(json.dumps(snake_case__     )     )
								with open(self.merges_file				,       'w'     ) as fp:
										fp.write('\n'.join(snake_case__     )     )



						def   __a				( self  :      int				,       snake_case__  :      Union[str, Any]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       'lower newer'
								SCREAMING_SNAKE_CASE_							=       'lower newer'
								return input_text, output_text



						def   __a				( self  :      Any     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self.tokenizer_class(vocab_file=self.vocab_file				,       merges_file=self.merges_file     )

								SCREAMING_SNAKE_CASE_							=       'lower'
								SCREAMING_SNAKE_CASE_							=       ['low', 'er</w>']
								SCREAMING_SNAKE_CASE_							=       tokenizer.tokenize(snake_case__     )
								self.assertListEqual(snake_case__				,       snake_case__     )

								SCREAMING_SNAKE_CASE_							=       tokens + ['<unk>']
								SCREAMING_SNAKE_CASE_							=       [16, 17, 23]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case__     )				,       snake_case__     )



						def   __a				( self  :      List[Any]     ):

								"""simple docstring"""

								if not self.test_rust_tokenizer:
										return

								SCREAMING_SNAKE_CASE_							=       self.get_tokenizer()
								SCREAMING_SNAKE_CASE_							=       self.get_rust_tokenizer()

								SCREAMING_SNAKE_CASE_							=       'lower,newer'

								SCREAMING_SNAKE_CASE_							=       tokenizer.tokenize(snake_case__     )
								SCREAMING_SNAKE_CASE_							=       rust_tokenizer.tokenize(snake_case__     )
								self.assertListEqual(snake_case__				,       snake_case__     )

								SCREAMING_SNAKE_CASE_							=       tokenizer.encode(snake_case__				,       add_special_tokens=snake_case__     )
								SCREAMING_SNAKE_CASE_							=       rust_tokenizer.encode(snake_case__				,       add_special_tokens=snake_case__     )
								self.assertListEqual(snake_case__				,       snake_case__     )

								SCREAMING_SNAKE_CASE_							=       self.get_rust_tokenizer()
								SCREAMING_SNAKE_CASE_							=       tokenizer.encode(snake_case__     )
								SCREAMING_SNAKE_CASE_							=       rust_tokenizer.encode(snake_case__     )
								self.assertListEqual(snake_case__				,       snake_case__     )






						@slow
						def   __a				( self  :      int     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       self.tokenizer_class.from_pretrained('allegro/herbert-base-cased'     )

								SCREAMING_SNAKE_CASE_							=       tokenizer.encode('konstruowanie sekwencji'				,       add_special_tokens=snake_case__     )
								SCREAMING_SNAKE_CASE_							=       tokenizer.encode('konstruowanie wielu sekwencji'				,       add_special_tokens=snake_case__     )

								SCREAMING_SNAKE_CASE_							=       tokenizer.build_inputs_with_special_tokens(snake_case__     )
								SCREAMING_SNAKE_CASE_							=       tokenizer.build_inputs_with_special_tokens(snake_case__				,       snake_case__     )

								assert encoded_sentence == [0] + text + [2]
								assert encoded_pair == [0] + text + [2] + text_a + [2]





from __future__ import annotations

import sys


def 				_a       (				lowerCAmelCase   )->  int:
		if n < 0:
				raise ValueError('Negative arguments are not supported'   )
		return _fib(lowerCAmelCase   )[0]


def 				_a       (				lowerCAmelCase   )->  tuple[int, int]:
		if n == 0:  # (F(0), F(1))
				return (0, 1)

		# F(2n) = F(n)[2F(n+1) − F(n)]
		# F(2n+1) = F(n+1)^2+F(n)^2
		SCREAMING_SNAKE_CASE_			,							SCREAMING_SNAKE_CASE_							=       _fib(n // 2   )
		SCREAMING_SNAKE_CASE_							=       a * (b * 2 - a)
		SCREAMING_SNAKE_CASE_							=       a * a + b * b
		return (d, c + d) if n % 2 else (c, d)


if __name__ == "__main__":
						SCREAMING_SNAKE_CASE:    Optional[int]											=   int(sys.argv[1])
						print(f"""fibonacci({n}) is {fibonacci(n)}""")