






'''simple docstring'''





import unittest

from transformers import PegasusTokenizer, PegasusTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


_a    :   int        =			get_tests_dir("""fixtures/test_sentencepiece_no_bos.model""")







@require_sentencepiece
@require_tokenizers
class 	_UpperCAmelCase  (  _A				,							unittest.TestCase		):




      """simple docstring"""



      A          =    PegasusTokenizer
      A          =    PegasusTokenizerFast
      A          =    True
      A          =    True
      def 			snake_case_      (   self		):



          '''simple docstring'''
          super().setUp()

          # We have a SentencePiece fixture for testing
          lowerCAmelCase__   :Tuple      							=				PegasusTokenizer(_lowerCAmelCase		)
          tokenizer.save_pretrained(self.tmpdirname		)
      @cached_property
      def 			snake_case_      (   self		):



          '''simple docstring'''
          return PegasusTokenizer.from_pretrained("google/pegasus-large"		)
      def 			snake_case_      (   self    ,	**_lowerCAmelCase		):



          '''simple docstring'''
          return PegasusTokenizer.from_pretrained(self.tmpdirname    ,	**_lowerCAmelCase		)
      def 			snake_case_      (   self    ,	_lowerCAmelCase		):



          '''simple docstring'''
          return ("This is a test", "This is a test")
      def 			snake_case_      (   self		):



          '''simple docstring'''
          lowerCAmelCase__   :str      							=				"</s>"
          lowerCAmelCase__   :List[str]      							=				1

          self.assertEqual(self.get_tokenizer()._convert_token_to_id(_lowerCAmelCase		)    ,	_lowerCAmelCase		)
          self.assertEqual(self.get_tokenizer()._convert_id_to_token(_lowerCAmelCase		)    ,	_lowerCAmelCase		)
      def 			snake_case_      (   self		):



          '''simple docstring'''
          lowerCAmelCase__   :Optional[int]      							=				list(self.get_tokenizer().get_vocab().keys()		)

          self.assertEqual(vocab_keys[0]    ,	"<pad>"		)
          self.assertEqual(vocab_keys[1]    ,	"</s>"		)
          self.assertEqual(vocab_keys[-1]    ,	"v"		)
          self.assertEqual(len(_lowerCAmelCase		)    ,	1_103		)
      def 			snake_case_      (   self		):



          '''simple docstring'''
          self.assertEqual(self.get_tokenizer().vocab_size    ,	1_103		)
      def 			snake_case_      (   self		):



          '''simple docstring'''
          lowerCAmelCase__   :Dict      							=				self.rust_tokenizer_class.from_pretrained(self.tmpdirname		)
          lowerCAmelCase__   :Optional[Any]      							=				self.tokenizer_class.from_pretrained(self.tmpdirname		)
          lowerCAmelCase__   :Tuple      							=				(
              "Let\'s see which <unk> is the better <unk_token_11> one <mask_1> It seems like this <mask_2> was important"
              " </s> <pad> <pad> <pad>"
          )
          lowerCAmelCase__   :Optional[Any]      							=				rust_tokenizer([raw_input_str]    ,	return_tensors=_lowerCAmelCase    ,	add_special_tokens=_lowerCAmelCase		).input_ids[0]
          lowerCAmelCase__   :List[Any]      							=				py_tokenizer([raw_input_str]    ,	return_tensors=_lowerCAmelCase    ,	add_special_tokens=_lowerCAmelCase		).input_ids[0]
          self.assertListEqual(_lowerCAmelCase    ,	_lowerCAmelCase		)
      def 			snake_case_      (   self		):



          '''simple docstring'''
          lowerCAmelCase__   :Optional[Any]      							=				self._large_tokenizer
          # <mask_1> masks whole sentence while <mask_2> masks single word
          lowerCAmelCase__   :Tuple      							=				"<mask_1> To ensure a <mask_2> flow of bank resolutions."
          lowerCAmelCase__   :Optional[int]      							=				[2, 413, 615, 114, 3, 1_971, 113, 1_679, 10_710, 107, 1]
          lowerCAmelCase__   :Optional[int]      							=				tokenizer([raw_input_str]    ,	return_tensors=_lowerCAmelCase		).input_ids[0]
          self.assertListEqual(_lowerCAmelCase    ,	_lowerCAmelCase		)
      def 			snake_case_      (   self		):



          '''simple docstring'''
          lowerCAmelCase__   :List[Any]      							=				self._large_tokenizer
          # The tracebacks for the following asserts are **better** without messages or self.assertEqual
          assert tokenizer.vocab_size == 96_103
          assert tokenizer.pad_token_id == 0
          assert tokenizer.eos_token_id == 1
          assert tokenizer.offset == 103
          assert tokenizer.unk_token_id == tokenizer.offset + 2 == 105
          assert tokenizer.unk_token == "<unk>"
          assert tokenizer.model_max_length == 1_024
          lowerCAmelCase__   :Union[str, Any]      							=				"To ensure a smooth flow of bank resolutions."
          lowerCAmelCase__   :Optional[int]      							=				[413, 615, 114, 2_291, 1_971, 113, 1_679, 10_710, 107, 1]
          lowerCAmelCase__   :Union[str, Any]      							=				tokenizer([raw_input_str]    ,	return_tensors=_lowerCAmelCase		).input_ids[0]
          self.assertListEqual(_lowerCAmelCase    ,	_lowerCAmelCase		)
          assert tokenizer.convert_ids_to_tokens([0, 1, 2, 3]		) == ["<pad>", "</s>", "<mask_1>", "<mask_2>"]
      @require_torch
      def 			snake_case_      (   self		):



          '''simple docstring'''
          lowerCAmelCase__   :int      							=				["This is going to be way too long." * 150, "short example"]
          lowerCAmelCase__   :Any      							=				["not super long but more than 5 tokens", "tiny"]
          lowerCAmelCase__   :int      							=				self._large_tokenizer(_lowerCAmelCase    ,	padding=_lowerCAmelCase    ,	truncation=_lowerCAmelCase    ,	return_tensors="pt"		)
          lowerCAmelCase__   :Any      							=				self._large_tokenizer(
              text_target=_lowerCAmelCase    ,	max_length=5    ,	padding=_lowerCAmelCase    ,	truncation=_lowerCAmelCase    ,	return_tensors="pt"		)

          assert batch.input_ids.shape == (2, 1_024)
          assert batch.attention_mask.shape == (2, 1_024)
          assert targets["input_ids"].shape == (2, 5)
          assert len(_lowerCAmelCase		) == 2  # input_ids, attention_mask.



      @slow
      def 			snake_case_      (   self		):



          '''simple docstring'''
          lowerCAmelCase__   :Tuple      							=				{"input_ids": [[38_979, 143, 18_485, 606, 130, 26_669, 87_686, 121, 54_189, 1_129, 111, 26_669, 87_686, 121, 9_114, 14_787, 121, 13_249, 158, 592, 956, 121, 14_621, 31_576, 143, 62_613, 108, 9_688, 930, 43_430, 11_562, 62_613, 304, 108, 11_443, 897, 108, 9_314, 17_415, 63_399, 108, 11_443, 7_614, 18_316, 118, 4_284, 7_148, 12_430, 143, 1_400, 25_703, 158, 111, 4_284, 7_148, 11_772, 143, 21_297, 1_064, 158, 122, 204, 3_506, 1_754, 1_133, 14_787, 1_581, 115, 33_224, 4_482, 111, 1_355, 110, 29_173, 317, 50_833, 108, 20_147, 94_665, 111, 77_198, 107, 1], [110, 62_613, 117, 638, 112, 1_133, 121, 20_098, 1_355, 79_050, 13_872, 135, 1_596, 53_541, 1_352, 141, 13_039, 5_542, 124, 302, 518, 111, 268, 2_956, 115, 149, 4_427, 107, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [139, 1_235, 2_799, 18_289, 17_780, 204, 109, 9_474, 1_296, 107, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "attention_mask": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
          # fmt: on

          self.tokenizer_integration_test_util(
              expected_encoding=_lowerCAmelCase    ,	model_name="google/bigbird-pegasus-large-arxiv"    ,	revision="ba85d0851d708441f91440d509690f1ab6353415"    ,	)







@require_sentencepiece
@require_tokenizers
class 	_UpperCAmelCase  (  _A				,							unittest.TestCase		):




      """simple docstring"""



      A          =    PegasusTokenizer
      A          =    PegasusTokenizerFast
      A          =    True
      A          =    True
      def 			snake_case_      (   self		):



          '''simple docstring'''
          super().setUp()

          # We have a SentencePiece fixture for testing
          lowerCAmelCase__   :Tuple      							=				PegasusTokenizer(_lowerCAmelCase    ,	offset=0    ,	mask_token_sent=_lowerCAmelCase    ,	mask_token="[MASK]"		)
          tokenizer.save_pretrained(self.tmpdirname		)
      @cached_property
      def 			snake_case_      (   self		):



          '''simple docstring'''
          return PegasusTokenizer.from_pretrained("google/bigbird-pegasus-large-arxiv"		)
      def 			snake_case_      (   self    ,	**_lowerCAmelCase		):



          '''simple docstring'''
          return PegasusTokenizer.from_pretrained(self.tmpdirname    ,	**_lowerCAmelCase		)
      def 			snake_case_      (   self    ,	_lowerCAmelCase		):



          '''simple docstring'''
          return ("This is a test", "This is a test")
      def 			snake_case_      (   self		):



          '''simple docstring'''
          lowerCAmelCase__   :Optional[int]      							=				self.rust_tokenizer_class.from_pretrained(self.tmpdirname		)
          lowerCAmelCase__   :Optional[int]      							=				self.tokenizer_class.from_pretrained(self.tmpdirname		)
          lowerCAmelCase__   :Dict      							=				(
              "Let\'s see which <unk> is the better <unk_token> one [MASK] It seems like this [MASK] was important </s>"
              " <pad> <pad> <pad>"
          )
          lowerCAmelCase__   :int      							=				rust_tokenizer([raw_input_str]    ,	return_tensors=_lowerCAmelCase    ,	add_special_tokens=_lowerCAmelCase		).input_ids[0]
          lowerCAmelCase__   :Dict      							=				py_tokenizer([raw_input_str]    ,	return_tensors=_lowerCAmelCase    ,	add_special_tokens=_lowerCAmelCase		).input_ids[0]
          self.assertListEqual(_lowerCAmelCase    ,	_lowerCAmelCase		)
      @require_torch
      def 			snake_case_      (   self		):



          '''simple docstring'''
          lowerCAmelCase__   :Tuple      							=				["This is going to be way too long." * 1_000, "short example"]
          lowerCAmelCase__   :Tuple      							=				["not super long but more than 5 tokens", "tiny"]
          lowerCAmelCase__   :Optional[int]      							=				self._large_tokenizer(_lowerCAmelCase    ,	padding=_lowerCAmelCase    ,	truncation=_lowerCAmelCase    ,	return_tensors="pt"		)
          lowerCAmelCase__   :Tuple      							=				self._large_tokenizer(
              text_target=_lowerCAmelCase    ,	max_length=5    ,	padding=_lowerCAmelCase    ,	truncation=_lowerCAmelCase    ,	return_tensors="pt"		)

          assert batch.input_ids.shape == (2, 4_096)
          assert batch.attention_mask.shape == (2, 4_096)
          assert targets["input_ids"].shape == (2, 5)
          assert len(_lowerCAmelCase		) == 2  # input_ids, attention_mask.



      def 			snake_case_      (   self		):



          '''simple docstring'''
          lowerCAmelCase__   :List[Any]      							=				(
              "This is an example string that is used to test the original TF implementation against the HF"
              " implementation"
          )

          lowerCAmelCase__   :int      							=				self._large_tokenizer(_lowerCAmelCase		).input_ids

          self.assertListEqual(
              _lowerCAmelCase    ,	[182, 117, 142, 587, 4_211, 120, 117, 263, 112, 804, 109, 856, 25_016, 3_137, 464, 109, 26_955, 3_137, 1]    ,	)











from __future__ import annotations

import math
from collections.abc import Callable


def 				snake_case__							(							UpperCAmelCase							:  Callable[[int | float], int | float]    ,			UpperCAmelCase							:  int | float    ,			UpperCAmelCase							:  int | float    ,			UpperCAmelCase							:  int = 1_0_0    ,			):
    lowerCAmelCase__   :int      							=				x_start
    lowerCAmelCase__   :int      							=				fnc(UpperCAmelCase       )
    lowerCAmelCase__   :List[Any]      							=				0.0

    for _ in range(UpperCAmelCase       ):
        # Approximates curve as a sequence of linear lines and sums their length
        lowerCAmelCase__   :Dict      							=				(x_end - x_start) / steps + xa
        lowerCAmelCase__   :Optional[Any]      							=				fnc(UpperCAmelCase       )
        length += math.hypot(xa - xa    ,			fxa - fxa       )

        # Increment step
        lowerCAmelCase__   :Union[str, Any]      							=				xa
        lowerCAmelCase__   :str      							=				fxa

    return length


if __name__ == "__main__":


 def 				snake_case__							(							UpperCAmelCase							:  int       ):
     return math.sin(1_0 * x       )

 print("""f(x) = sin(10 * x)""")
 print("""The length of the curve from x = -10 to x = 10 is:""")
 _a    :   Any        =			10
 while i <= 10_0000:
  print(f"""With {i} steps: {line_length(f, -10, 10, i)}""")
  i *= 10



