

'''simple docstring'''






import functools
from math import sqrt
from time import time


def  __lowerCamelCase      (				SCREAMING_SNAKE_CASE_					:     int  ,  *SCREAMING_SNAKE_CASE_					:     Any  ,  **SCREAMING_SNAKE_CASE_					:     Union[str, Any]   )							->       Optional[int]:
      """simple docstring"""

      SCREAMING_SNAKE_CASE_				:      int					=	time()
      SCREAMING_SNAKE_CASE_				:      Dict					=	func(*SCREAMING_SNAKE_CASE_  ,  **SCREAMING_SNAKE_CASE_   )
      SCREAMING_SNAKE_CASE_				:      Any					=	time()
      if int(end - start   ) > 0:
            print(F"{func.__name__} runtime: {(end - start):0.4f} s"   )
      else:
            print(F"{func.__name__} runtime: {(end - start) * 1_0_0_0:0.4f} ms"   )
      return output


def  __lowerCamelCase      (				SCREAMING_SNAKE_CASE_					:     int   )							->       list[int]:
      """simple docstring"""

      if n < 0:
            raise Exception("n is negative"   )
      if n == 0:
            return [0]
      SCREAMING_SNAKE_CASE_				:      Tuple					=	[0, 1]
      for _ in range(n - 1   ):
            fib.append(fib[-1] + fib[-2]   )
      return fib


def  __lowerCamelCase      (				SCREAMING_SNAKE_CASE_					:     int   )							->       list[int]:
      """simple docstring"""

      def fib_recursive_term(SCREAMING_SNAKE_CASE_					:     int   ) -> int:
            if i < 0:
                  raise Exception("n is negative"   )
            if i < 2:
                  return i
            return fib_recursive_term(i - 1   ) + fib_recursive_term(i - 2   )

      if n < 0:
            raise Exception("n is negative"   )
      return [fib_recursive_term(SCREAMING_SNAKE_CASE_   ) for i in range(n + 1   )]


def  __lowerCamelCase      (				SCREAMING_SNAKE_CASE_					:     int   )							->       list[int]:
      """simple docstring"""

      @functools.cache
      def fib_recursive_term(SCREAMING_SNAKE_CASE_					:     int   ) -> int:
            if i < 0:
                  raise Exception("n is negative"   )
            if i < 2:
                  return i
            return fib_recursive_term(i - 1   ) + fib_recursive_term(i - 2   )

      if n < 0:
            raise Exception("n is negative"   )
      return [fib_recursive_term(SCREAMING_SNAKE_CASE_   ) for i in range(n + 1   )]


def  __lowerCamelCase      (				SCREAMING_SNAKE_CASE_					:     int   )							->       list[int]:
      """simple docstring"""

      if n < 0:
            raise Exception("n is negative"   )
      # Cache must be outside recursuive function
      # other it will reset every time it calls itself.
      SCREAMING_SNAKE_CASE_				:      dict[int, int]					=	{0: 0, 1: 1, 2: 1}  # Prefilled cache

      def rec_fn_memoized(SCREAMING_SNAKE_CASE_					:     int   ) -> int:
            if num in cache:
                  return cache[num]

            SCREAMING_SNAKE_CASE_				:      Optional[int]					=	rec_fn_memoized(num - 1   ) + rec_fn_memoized(num - 2   )
            SCREAMING_SNAKE_CASE_				:      Optional[int]					=	value
            return value

      return [rec_fn_memoized(SCREAMING_SNAKE_CASE_   ) for i in range(n + 1   )]


def  __lowerCamelCase      (				SCREAMING_SNAKE_CASE_					:     int   )							->       list[int]:
      """simple docstring"""

      if n < 0:
            raise Exception("n is negative"   )
      if n >= 1_4_7_5:
            raise Exception("n is too large"   )
      SCREAMING_SNAKE_CASE_				:      Tuple					=	sqrt(5   )
      SCREAMING_SNAKE_CASE_				:      Optional[int]					=	(1 + sqrt_a) / 2
      return [round(phi**i / sqrt_a   ) for i in range(n + 1   )]


if __name__ == "__main__":
      snake_case_					  =	3_0
      time_func(fib_iterative, num)
      time_func(fib_recursive, num)  # Around 3s runtime
      time_func(fib_recursive_cached, num)  # Around 0ms runtime
      time_func(fib_memoization, num)
      time_func(fib_binet, num)




'''simple docstring'''






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      SCREAMING_SNAKE_CASE__      (    _UpperCAmelCase,unittest.TestCase				):
    _A         =							HerbertTokenizer
    _A         =							HerbertTokenizerFast
    _A         =							True




    def   __lowerCamelCase				( self      ):






          """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_				:      List[str]					=	f_data.read().replace("\n\n"    ,					"\n"      ).strip()

          SCREAMING_SNAKE_CASE_				:      Dict					=	[
              "<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_				:      Optional[int]					=	dict(zip(lowercase__    ,					range(len(lowercase__      )      )      )      )
          SCREAMING_SNAKE_CASE_				:      Dict					=	["l o 123", "lo w 1456", "e r</w> 1789", ""]

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




    def   __lowerCamelCase				( self    ,					lowercase__      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      Optional[int]					=	"lower newer"
          SCREAMING_SNAKE_CASE_				:      str					=	"lower newer"
          return input_text, output_text




    def   __lowerCamelCase				( self      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      Union[str, Any]					=	self.tokenizer_class(vocab_file=self.vocab_file    ,					merges_file=self.merges_file      )

          SCREAMING_SNAKE_CASE_				:      int					=	"lower"
          SCREAMING_SNAKE_CASE_				:      List[str]					=	["low", "er</w>"]
          SCREAMING_SNAKE_CASE_				:      Optional[int]					=	tokenizer.tokenize(lowercase__      )
          self.assertListEqual(lowercase__    ,					lowercase__      )

          SCREAMING_SNAKE_CASE_				:      Optional[Any]					=	tokens + ["<unk>"]
          SCREAMING_SNAKE_CASE_				:      Dict					=	[16, 17, 23]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(lowercase__      )    ,					lowercase__      )




    def   __lowerCamelCase				( self      ):






          """simple docstring"""






          if not self.test_rust_tokenizer:
                return

          SCREAMING_SNAKE_CASE_				:      Dict					=	self.get_tokenizer()
          SCREAMING_SNAKE_CASE_				:      Any					=	self.get_rust_tokenizer()

          SCREAMING_SNAKE_CASE_				:      List[Any]					=	"lower,newer"

          SCREAMING_SNAKE_CASE_				:      int					=	tokenizer.tokenize(lowercase__      )
          SCREAMING_SNAKE_CASE_				:      List[Any]					=	rust_tokenizer.tokenize(lowercase__      )
          self.assertListEqual(lowercase__    ,					lowercase__      )

          SCREAMING_SNAKE_CASE_				:      List[Any]					=	tokenizer.encode(lowercase__    ,					add_special_tokens=lowercase__      )
          SCREAMING_SNAKE_CASE_				:      int					=	rust_tokenizer.encode(lowercase__    ,					add_special_tokens=lowercase__      )
          self.assertListEqual(lowercase__    ,					lowercase__      )

          SCREAMING_SNAKE_CASE_				:      Any					=	self.get_rust_tokenizer()
          SCREAMING_SNAKE_CASE_				:      Optional[Any]					=	tokenizer.encode(lowercase__      )
          SCREAMING_SNAKE_CASE_				:      Dict					=	rust_tokenizer.encode(lowercase__      )
          self.assertListEqual(lowercase__    ,					lowercase__      )







    @slow
    def   __lowerCamelCase				( self      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      int					=	self.tokenizer_class.from_pretrained("allegro/herbert-base-cased"      )

          SCREAMING_SNAKE_CASE_				:      List[Any]					=	tokenizer.encode("konstruowanie sekwencji"    ,					add_special_tokens=lowercase__      )
          SCREAMING_SNAKE_CASE_				:      Union[str, Any]					=	tokenizer.encode("konstruowanie wielu sekwencji"    ,					add_special_tokens=lowercase__      )

          SCREAMING_SNAKE_CASE_				:      List[str]					=	tokenizer.build_inputs_with_special_tokens(lowercase__      )
          SCREAMING_SNAKE_CASE_				:      Dict					=	tokenizer.build_inputs_with_special_tokens(lowercase__    ,					lowercase__      )

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

