



import unittest

from transformers import AlbertTokenizer, AlbertTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


a__			=		get_tests_dir("""fixtures/spiece.model""")







@require_sentencepiece
@require_tokenizers
class 						snake_case  (		SCREAMING_SNAKE_CASE_    ,unittest.TestCase     ):



   '''simple docstring'''






   snake_case_    :       Optional[Any]								=						AlbertTokenizer
   snake_case_    :       Optional[int]								=						AlbertTokenizerFast
   snake_case_    :       Union[str, Any]								=						True
   snake_case_    :       List[Any]								=						True
   snake_case_    :       Optional[Any]								=						True

   def    UpperCamelCase_     (    self							:	str) -> Dict:

    """simple docstring"""







    super().setUp()

    # We have a SentencePiece fixture for testing
    _snake_case			:     List[str] 		=    AlbertTokenizer(_SCREAMING_SNAKE_CASE)
    tokenizer.save_pretrained(self.tmpdirname)

   def    UpperCamelCase_     (    self							:	List[Any] ,						lowerCAmelCase							:	Optional[int]) -> Union[str, Any]:

    """simple docstring"""







    _snake_case			:     Dict 		=    '''this is a test'''
    _snake_case			:     Optional[Any] 		=    '''this is a test'''
    return input_text, output_text

   def    UpperCamelCase_     (    self							:	Union[str, Any]) -> Tuple:

    """simple docstring"""







    _snake_case			:     Optional[int] 		=    '''<pad>'''
    _snake_case			:     Tuple 		=    0

    self.assertEqual(self.get_tokenizer()._convert_token_to_id(_SCREAMING_SNAKE_CASE) ,						_SCREAMING_SNAKE_CASE)
    self.assertEqual(self.get_tokenizer()._convert_id_to_token(_SCREAMING_SNAKE_CASE) ,						_SCREAMING_SNAKE_CASE)

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

    """simple docstring"""







    _snake_case			:     int 		=    list(self.get_tokenizer().get_vocab().keys())

    self.assertEqual(vocab_keys[0] ,						"""<pad>""")
    self.assertEqual(vocab_keys[1] ,						"""<unk>""")
    self.assertEqual(vocab_keys[-1] ,						"""▁eloquent""")
    self.assertEqual(len(_SCREAMING_SNAKE_CASE) ,						3_0000)

   def    UpperCamelCase_     (    self							:	List[Any]) -> Optional[Any]:

    """simple docstring"""







    self.assertEqual(self.get_tokenizer().vocab_size ,						3_0000)

   def    UpperCamelCase_     (    self							:	Any) -> str:

    """simple docstring"""







    if not self.test_rust_tokenizer:
     return

    _snake_case			:     Union[str, Any] 		=    self.get_tokenizer()
    _snake_case			:     str 		=    self.get_rust_tokenizer()

    _snake_case			:     Tuple 		=    '''I was born in 92000, and this is falsé.'''

    _snake_case			:     List[str] 		=    tokenizer.tokenize(_SCREAMING_SNAKE_CASE)
    _snake_case			:     Optional[int] 		=    rust_tokenizer.tokenize(_SCREAMING_SNAKE_CASE)
    self.assertListEqual(_SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE)

    _snake_case			:     List[str] 		=    tokenizer.encode(_SCREAMING_SNAKE_CASE ,						add_special_tokens=_SCREAMING_SNAKE_CASE)
    _snake_case			:     List[str] 		=    rust_tokenizer.encode(_SCREAMING_SNAKE_CASE ,						add_special_tokens=_SCREAMING_SNAKE_CASE)
    self.assertListEqual(_SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE)

    _snake_case			:     List[str] 		=    self.get_rust_tokenizer()
    _snake_case			:     int 		=    tokenizer.encode(_SCREAMING_SNAKE_CASE)
    _snake_case			:     Tuple 		=    rust_tokenizer.encode(_SCREAMING_SNAKE_CASE)
    self.assertListEqual(_SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE)

   def    UpperCamelCase_     (    self							:	List[Any]) -> Union[str, Any]:

    """simple docstring"""







    _snake_case			:     str 		=    AlbertTokenizer(_SCREAMING_SNAKE_CASE ,						keep_accents=_SCREAMING_SNAKE_CASE)

    _snake_case			:     Dict 		=    tokenizer.tokenize("""This is a test""")
    self.assertListEqual(_SCREAMING_SNAKE_CASE ,						["""▁this""", """▁is""", """▁a""", """▁test"""])

    self.assertListEqual(tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE) ,						[48, 25, 21, 1289])

    _snake_case			:     Tuple 		=    tokenizer.tokenize("""I was born in 92000, and this is falsé.""")
    self.assertListEqual(
        _SCREAMING_SNAKE_CASE ,						["""▁i""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """é""", """."""])
    _snake_case			:     int 		=    tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE)
    self.assertListEqual(_SCREAMING_SNAKE_CASE ,						[31, 23, 386, 19, 561, 3050, 15, 17, 48, 25, 8256, 18, 1, 9])

    _snake_case			:     List[Any] 		=    tokenizer.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE)
    self.assertListEqual(
        _SCREAMING_SNAKE_CASE ,						["""▁i""", """▁was""", """▁born""", """▁in""", """▁9""", """2000""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """<unk>""", """."""] ,						)

   def    UpperCamelCase_     (    self							:	Any) -> Dict:

    """simple docstring"""







    _snake_case			:     Tuple 		=    AlbertTokenizer(_SCREAMING_SNAKE_CASE)

    _snake_case			:     Any 		=    tokenizer.encode("""sequence builders""")
    _snake_case			:     Tuple 		=    tokenizer.encode("""multi-sequence build""")

    _snake_case			:     Union[str, Any] 		=    tokenizer.build_inputs_with_special_tokens(_SCREAMING_SNAKE_CASE)
    _snake_case			:     Any 		=    tokenizer.build_inputs_with_special_tokens(_SCREAMING_SNAKE_CASE ,						_SCREAMING_SNAKE_CASE)

    assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
    assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
        tokenizer.sep_token_id
    ]


   @slow
   def    UpperCamelCase_     (    self							:	str) -> str:

    """simple docstring"""







    _snake_case			:     str 		=    {'''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, 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, 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, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], '''input_ids''': [[2, 2_1970, 13, 5, 6092, 167, 28, 7103, 2153, 673, 8, 7028, 1_2051, 18, 17, 7103, 2153, 673, 8, 3515, 1_8684, 8, 4461, 6, 1927, 297, 8, 1_2060, 2607, 18, 13, 5, 4461, 15, 1_0538, 38, 8, 135, 15, 822, 58, 15, 993, 1_0363, 15, 1460, 8005, 4461, 15, 993, 255, 2328, 9, 9, 9, 6, 26, 1112, 816, 3260, 13, 5, 103, 2377, 6, 17, 1112, 816, 2782, 13, 5, 103, 1_0641, 6, 29, 84, 2512, 2430, 782, 1_8684, 2761, 19, 808, 2430, 2556, 17, 855, 1480, 9477, 4091, 128, 1_1712, 15, 7103, 2153, 673, 17, 2_4883, 9990, 9, 3], [2, 1_1502, 25, 1006, 20, 782, 8, 1_1809, 855, 1732, 1_9393, 1_8667, 37, 367, 2_1018, 69, 1854, 34, 1_1860, 1_9124, 27, 156, 225, 17, 193, 4141, 19, 65, 9124, 9, 3, 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], [2, 14, 2231, 886, 2385, 1_7659, 84, 14, 1_6792, 1952, 9, 3, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], '''token_type_ids''': [[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, 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, 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, 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, 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=_SCREAMING_SNAKE_CASE ,						model_name="""albert-base-v2""" ,						revision="""6b6560eaf5ff2e250b00c50f380c5389a9c2d82e""" ,						)




from math import isclose, sqrt


def   _SCREAMING_SNAKE_CASE	( SCREAMING_SNAKE_CASE ,			SCREAMING_SNAKE_CASE ,			SCREAMING_SNAKE_CASE       ):
  A_      :				List[str]		     =					point_y / 4 / point_x
  A_      :				Union[str, Any]		     =					2 * normal_gradient / (1 + normal_gradient * normal_gradient)
  A_      :				int		     =					(1 - normal_gradient * normal_gradient) / (
      1 + normal_gradient * normal_gradient
  )
  A_      :				List[str]		     =					(sa - ca * incoming_gradient) / (ca + sa * incoming_gradient)

  # to find the next point, solve the simultaeneous equations:
  # y^2 + 4x^2 = 100
  # y - b = m * (x - a)
  # ==> A x^2 + B x + C = 0
  A_      :				List[str]		     =					outgoing_gradient**2 + 4
  A_      :				List[str]		     =					2 * outgoing_gradient * (point_y - outgoing_gradient * point_x)
  A_      :				Any		     =					(point_y - outgoing_gradient * point_x) ** 2 - 100

  A_      :				str		     =					(
      -linear_term - sqrt(linear_term**2 - 4 * quadratic_term * constant_term       )
  ) / (2 * quadratic_term)
  A_      :				Any		     =					(
      -linear_term + sqrt(linear_term**2 - 4 * quadratic_term * constant_term       )
  ) / (2 * quadratic_term)

  # two solutions, one of which is our input point
  A_      :				int		     =					x_minus if isclose(SCREAMING_SNAKE_CASE ,			SCREAMING_SNAKE_CASE       ) else x_plus
  A_      :				Any		     =					point_y + outgoing_gradient * (next_x - point_x)

  return next_x, next_y, outgoing_gradient


def   _SCREAMING_SNAKE_CASE	( SCREAMING_SNAKE_CASE = 1.4 ,			SCREAMING_SNAKE_CASE = -9.6       ):
  A_      :				int		     =					0
  A_      :				float		     =					first_x_coord
  A_      :				float		     =					first_y_coord
  A_      :				float		     =					(1_0.1 - point_y) / (0.0 - point_x)

  while not (-0.0_1 <= point_x <= 0.0_1 and point_y > 0):
    A_     ,       A_     ,       A_      :				List[str]		     =					next_point(SCREAMING_SNAKE_CASE ,			SCREAMING_SNAKE_CASE ,			SCREAMING_SNAKE_CASE       )
    num_reflections += 1

  return num_reflections


if __name__ == "__main__":
     print(F'''{solution() = }''')




