

def 						UpperCamelCase_(			snake_case__:  list[list[int]]  ,    snake_case__:  list[list[int]]   )       -> Tuple:
 UpperCAmelCase__							=				[]
 UpperCAmelCase__							=				len(UpperCamelCase_   )
 for i in range(UpperCamelCase_   ):
  UpperCAmelCase__							=				[]
  for j in range(UpperCamelCase_   ):
   UpperCAmelCase__							=				0
   for k in range(UpperCamelCase_   ):
    UpperCAmelCase__							=				val + matrix_a[i][k] * matrix_b[k][j]
   list_a.append(UpperCamelCase_   )
  matrix_c.append(UpperCamelCase_   )
 return matrix_c
def 						UpperCamelCase_(			snake_case__:  int   )       -> Union[str, Any]:
 return [[int(row == column   ) for column in range(UpperCamelCase_   )] for row in range(UpperCamelCase_   )]
def 						UpperCamelCase_(			snake_case__:  int   )       -> int:
 if n <= 1:
  return n
 UpperCAmelCase__							=				identity(2   )
 UpperCAmelCase__							=				[[1, 1], [1, 0]]
 UpperCAmelCase__							=				n - 1
 while n > 0:
  if n % 2 == 1:
   UpperCAmelCase__							=				multiply(UpperCamelCase_  ,    UpperCamelCase_   )
  UpperCAmelCase__							=				multiply(UpperCamelCase_  ,    UpperCamelCase_   )
  UpperCAmelCase__							=				int(n / 2   )
 return res_matrix[0][0]
def 						UpperCamelCase_(			snake_case__:  int   )       -> Tuple:
 if n <= 1:
  return n
 UpperCAmelCase__							=				0
 UpperCAmelCase__							=				1
 for _ in range(2  ,    n + 1   ):
  UpperCAmelCase__							=				fiba, fiba + fiba
 return fiba
def 						UpperCamelCase_(			)       -> List[str]:
 for ordinal in "0th 1st 2nd 3rd 10th 100th 1000th".split():
  UpperCAmelCase__							=				int(''.join(c for c in ordinal if c in '0123456789'   )   )  # 1000th --> 1000
  print(
      f"{ordinal} fibonacci number using matrix exponentiation is "
      f"{nth_fibonacci_matrix(UpperCamelCase_   )} and using bruteforce is "
      f"{nth_fibonacci_bruteforce(UpperCamelCase_   )}\n"   )
 # from timeit import timeit
 # print(timeit("nth_fibonacci_matrix(1000000)",
 #              "from main import nth_fibonacci_matrix", number=5))
 # print(timeit("nth_fibonacci_bruteforce(1000000)",
 #              "from main import nth_fibonacci_bruteforce", number=5))
 # 2.3342058970001744
 # 57.256506615000035


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 main()









import inspect
import json
import os
import tempfile
import unittest

from transformers.models.speech_to_text_a import SpeechaTextaTokenizer
from transformers.models.speech_to_text_a.tokenization_speech_to_text_a import VOCAB_FILES_NAMES

from ...test_tokenization_common import TokenizerTesterMixin
class 				__snake_case     (_a  ,		unittest.TestCase						):
				lowerCAmelCase__			=   SpeechaTextaTokenizer
				lowerCAmelCase__			=   False



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





								'''simple docstring'''




								super().setUp()

								_lowerCAmelCase			:			Optional[int]        =					"""<s> <pad> </s> <unk> here@@ a couple of@@ words for the he@@ re@@ vocab""".split(""" """					)
								_lowerCAmelCase			:			Optional[int]        =					["""he re</w> 123""", """here a 1456"""]
								_lowerCAmelCase			:			Union[str, Any]        =					dict(zip(_UpperCAmelCase						,		range(len(_UpperCAmelCase					)					)					)					)

								_lowerCAmelCase			:			Any        =					{"""pad_token""": """<pad>""", """unk_token""": """<unk>""", """bos_token""": """<s>""", """eos_token""": """</s>"""}

								_lowerCAmelCase			:			Union[str, Any]        =					tempfile.mkdtemp()
								_lowerCAmelCase			:			Tuple        =					os.path.join(self.tmpdirname						,		VOCAB_FILES_NAMES["""vocab_file"""]					)
								_lowerCAmelCase			:			Any        =					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(_UpperCAmelCase					) + """\n"""					)

								with open(self.merges_file						,		"""w"""					) as fp:
												fp.write("""\n""".join(_UpperCAmelCase					)					)



				def 					SCREAMING_SNAKE_CASE				(					self					:						int					)     ->			Any:





								'''simple docstring'''




								_lowerCAmelCase			:			List[str]        =					list(self.get_tokenizer().get_vocab().keys()					)

								self.assertEqual(vocab_keys[0]						,		"""<s>"""					)
								self.assertEqual(vocab_keys[1]						,		"""<pad>"""					)
								self.assertEqual(vocab_keys[-1]						,		"""vocab"""					)
								self.assertEqual(len(_UpperCAmelCase					)						,		14					)



				def 					SCREAMING_SNAKE_CASE				(					self					:						Any					)     ->			int:





								'''simple docstring'''




								self.assertEqual(self.get_tokenizer().vocab_size						,		14					)



				def 					SCREAMING_SNAKE_CASE				(					self					:						str					)     ->			Tuple:





								'''simple docstring'''




								_lowerCAmelCase			:			List[Any]        =					SpeechaTextaTokenizer.from_pretrained(self.tmpdirname					)

								# make sure @@ is correctly concatenated
								_lowerCAmelCase			:			int        =					[4, 6, 8, 7, 10]  # ["here@@", "couple", "words", "of@@", "the"]
								_lowerCAmelCase			:			List[Any]        =					tokenizer.decode(_UpperCAmelCase					)

								self.assertTrue(output_string == """herecouple words ofthe"""					)



				def 					SCREAMING_SNAKE_CASE				(					self					:						Dict					)     ->			Any:





								'''simple docstring'''




								_lowerCAmelCase			:			str        =					SpeechaTextaTokenizer.from_pretrained(self.tmpdirname					)

								with tempfile.TemporaryDirectory() as tmp_dirname:
												tokenizer.save_pretrained(_UpperCAmelCase					)
												os.remove(os.path.join(_UpperCAmelCase						,		"""merges.txt"""					)					)

												# load tokenizer without merges file should not throw an error
												_lowerCAmelCase			:			Any        =					SpeechaTextaTokenizer.from_pretrained(_UpperCAmelCase					)

								with tempfile.TemporaryDirectory() as tmp_dirname:
												# save tokenizer and load again
												tokenizer.save_pretrained(_UpperCAmelCase					)
												_lowerCAmelCase			:			int        =					SpeechaTextaTokenizer.from_pretrained(_UpperCAmelCase					)

								self.assertIsNotNone(_UpperCAmelCase					)



				def 					SCREAMING_SNAKE_CASE				(					self					:						Optional[Any]					)     ->			Optional[Any]:





								'''simple docstring'''




								if not self.test_slow_tokenizer:
												return

								_lowerCAmelCase			:			Dict        =					inspect.signature(self.tokenizer_class.__init__					)
								_lowerCAmelCase			:			Union[str, Any]        =					self.get_tokenizer()

								for parameter_name, parameter in signature.parameters.items():
												if parameter.default != inspect.Parameter.empty and parameter_name != "merges_file":
																self.assertIn(_UpperCAmelCase						,		tokenizer.init_kwargs					)

