
"""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 	UpperCamelCase      (			__magic_name__    , unittest.TestCase ):

				"""simple docstring"""



				UpperCAmelCase_							: List[str]		    =							HerbertTokenizer
				UpperCAmelCase_							: Any		    =							HerbertTokenizerFast
				UpperCAmelCase_							: Union[str, Any]		    =							True


				def 				A   (							self     )       ->       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(lowercase__						,      range(len(lowercase__     )     )     )     )
									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(lowercase__     )     )
									with open(self.merges_file						,      'w'     ) as fp:
														fp.write('\n'.join(lowercase__     )     )


				def 				A   (							self						,      lowercase__     )       ->       Optional[Any]:
									"""simple docstring"""







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


				def 				A   (							self     )       ->       Union[str, 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(lowercase__     )
									self.assertListEqual(lowercase__						,      lowercase__     )

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


				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(lowercase__     )
									SCREAMING_SNAKE_CASE           =      rust_tokenizer.tokenize(lowercase__     )
									self.assertListEqual(lowercase__						,      lowercase__     )

									SCREAMING_SNAKE_CASE           =      tokenizer.encode(lowercase__						,      add_special_tokens=lowercase__     )
									SCREAMING_SNAKE_CASE           =      rust_tokenizer.encode(lowercase__						,      add_special_tokens=lowercase__     )
									self.assertListEqual(lowercase__						,      lowercase__     )

									SCREAMING_SNAKE_CASE           =      self.get_rust_tokenizer()
									SCREAMING_SNAKE_CASE           =      tokenizer.encode(lowercase__     )
									SCREAMING_SNAKE_CASE           =      rust_tokenizer.encode(lowercase__     )
									self.assertListEqual(lowercase__						,      lowercase__     )




				@slow
				def 				A   (							self     )       ->       Any:
									"""simple docstring"""







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

									SCREAMING_SNAKE_CASE           =      tokenizer.encode('konstruowanie sekwencji'						,      add_special_tokens=lowercase__     )
									SCREAMING_SNAKE_CASE           =      tokenizer.encode('konstruowanie wielu sekwencji'						,      add_special_tokens=lowercase__     )

									SCREAMING_SNAKE_CASE           =      tokenizer.build_inputs_with_special_tokens(lowercase__     )
									SCREAMING_SNAKE_CASE           =      tokenizer.build_inputs_with_special_tokens(lowercase__						,      lowercase__     )

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







'''simple docstring'''


from __future__ import annotations

from collections.abc import Callable




def       A							(      _UpperCAmelCase   :				Callable[[int | float], int | float]						,_UpperCAmelCase   :				int | float						,_UpperCAmelCase   :				int | float						,_UpperCAmelCase   :				int = 1_0_0						,)  ->				float:


  '''simple docstring'''




  __lowerCAmelCase		:    Dict			     =  x_start
  __lowerCAmelCase		:    Tuple			     =  fnc(_UpperCAmelCase					)
  __lowerCAmelCase		:    Optional[int]			     =  0.0

  for _ in range(_UpperCAmelCase					):
    # Approximates small segments of curve as linear and solve
    # for trapezoidal area
    __lowerCAmelCase		:    Optional[int]			     =  (x_end - x_start) / steps + xa
    __lowerCAmelCase		:    Optional[Any]			     =  fnc(_UpperCAmelCase					)
    area += abs(fxa + fxa					) * (xa - xa) / 2

    # Increment step
    __lowerCAmelCase		:    Optional[Any]			     =  xa
    __lowerCAmelCase		:    List[Any]			     =  fxa
  return area


if __name__ == "__main__":




    def       A							(      _UpperCAmelCase   :				List[Any]					)  ->				List[Any]:


      '''simple docstring'''




      return x**3

    print("f(x) = x^3")
    print("The area between the curve, x = -10, x = 10 and the x axis is:")
    A_				     =							10
    while i <= 10_00_00:
        A_				     =							trapezoidal_area(f, -5, 5, i)
        print(F'''with {i} steps: {area}''')
        i *= 10





