"""simple docstring"""


import itertools
import json
import os
import unittest

from transformers import AddedToken, LongformerTokenizer, LongformerTokenizerFast
from transformers.models.longformer.tokenization_longformer import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class 				a (						lowerCAmelCase_		,							unittest.TestCase      ):
    _snake_case   :     Union[str, Any]   							=							LongformerTokenizer
    _snake_case   :     Union[str, Any]   							=							True
    _snake_case   :     Union[str, Any]   							=							LongformerTokenizerFast
    _snake_case   :     Dict   							=							True


    def    lowerCAmelCase_     (    self		:     Optional[Any]    ):
      super().setUp()

      # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
      _UpperCAmelCase         =					[
          """l""",
          """o""",
          """w""",
          """e""",
          """r""",
          """s""",
          """t""",
          """i""",
          """d""",
          """n""",
          """\u0120""",
          """\u0120l""",
          """\u0120n""",
          """\u0120lo""",
          """\u0120low""",
          """er""",
          """\u0120lowest""",
          """\u0120newer""",
          """\u0120wider""",
          """<unk>""",
      ]
      _UpperCAmelCase         =					dict(zip(__lowerCAmelCase      , range(len(__lowerCAmelCase    )    )    )    )
      _UpperCAmelCase         =					["""#version: 0.2""", """\u0120 l""", """\u0120l o""", """\u0120lo w""", """e r""", """"""]
      _UpperCAmelCase         =					{"""unk_token""": """<unk>"""}

      _UpperCAmelCase         =					os.path.join(self.tmpdirname      , VOCAB_FILES_NAMES["""vocab_file"""]    )
      _UpperCAmelCase         =					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(__lowerCAmelCase    ) + """\n"""    )
      with open(self.merges_file      , """w"""      , encoding="""utf-8"""    ) as fp:
        fp.write("""\n""".join(__lowerCAmelCase    )    )


    def    lowerCAmelCase_     (    self		:     Any      , **__lowerCAmelCase		:     List[str]    ):
      kwargs.update(self.special_tokens_map    )
      return self.tokenizer_class.from_pretrained(self.tmpdirname      , **__lowerCAmelCase    )


    def    lowerCAmelCase_     (    self		:     Optional[Any]      , **__lowerCAmelCase		:     Tuple    ):
      kwargs.update(self.special_tokens_map    )
      return self.rust_tokenizer_class.from_pretrained(self.tmpdirname      , **__lowerCAmelCase    )


    def    lowerCAmelCase_     (    self		:     List[str]      , __lowerCAmelCase		:     List[str]    ):
      _UpperCAmelCase         =					"""lower newer"""
      _UpperCAmelCase         =					"""lower newer"""
      return input_text, output_text


    def    lowerCAmelCase_     (    self		:     Optional[Any]    ):
      _UpperCAmelCase         =					self.tokenizer_class(self.vocab_file      , self.merges_file      , **self.special_tokens_map    )
      _UpperCAmelCase         =					"""lower newer"""
      _UpperCAmelCase         =					["""l""", """o""", """w""", """er""", """\u0120""", """n""", """e""", """w""", """er"""]
      _UpperCAmelCase         =					tokenizer.tokenize(__lowerCAmelCase    )  # , add_prefix_space=True)
      self.assertListEqual(__lowerCAmelCase      , __lowerCAmelCase    )

      _UpperCAmelCase         =					tokens + [tokenizer.unk_token]
      _UpperCAmelCase         =					[0, 1, 2, 15, 10, 9, 3, 2, 15, 19]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCAmelCase    )      , __lowerCAmelCase    )


    def    lowerCAmelCase_     (    self		:     Union[str, Any]    ):
      _UpperCAmelCase         =					self.get_tokenizer()

      self.assertListEqual(tokenizer.encode("""Hello world!"""      , add_special_tokens=__lowerCAmelCase    )      , [0, 3_1414, 232, 328, 2]    )
      self.assertListEqual(
          tokenizer.encode("""Hello world! cécé herlolip 418"""      , add_special_tokens=__lowerCAmelCase    )      , [0, 3_1414, 232, 328, 740, 1140, 1_2695, 69, 4_6078, 1588, 2]      , )


    @slow
    def    lowerCAmelCase_     (    self		:     Dict    ):
      _UpperCAmelCase         =					self.tokenizer_class.from_pretrained("""allenai/longformer-base-4096"""    )

      _UpperCAmelCase         =					tokenizer.encode("""sequence builders"""      , add_special_tokens=__lowerCAmelCase    )
      _UpperCAmelCase         =					tokenizer.encode("""multi-sequence build"""      , add_special_tokens=__lowerCAmelCase    )

      _UpperCAmelCase         =					tokenizer.encode(
          """sequence builders"""      , add_special_tokens=__lowerCAmelCase      , add_prefix_space=__lowerCAmelCase    )
      _UpperCAmelCase         =					tokenizer.encode(
          """sequence builders"""      , """multi-sequence build"""      , add_special_tokens=__lowerCAmelCase      , add_prefix_space=__lowerCAmelCase    )

      _UpperCAmelCase         =					tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase    )
      _UpperCAmelCase         =					tokenizer.build_inputs_with_special_tokens(__lowerCAmelCase      , __lowerCAmelCase    )

      assert encoded_sentence == encoded_text_from_decode
      assert encoded_pair == encoded_pair_from_decode


    def    lowerCAmelCase_     (    self		:     Union[str, Any]    ):
      _UpperCAmelCase         =					self.get_tokenizer()

      _UpperCAmelCase         =					"""Encode this sequence."""
      _UpperCAmelCase         =					tokenizer.byte_encoder[""" """.encode("""utf-8"""    )[0]]

      # Testing encoder arguments
      _UpperCAmelCase         =					tokenizer.encode(__lowerCAmelCase      , add_special_tokens=__lowerCAmelCase      , add_prefix_space=__lowerCAmelCase    )
      _UpperCAmelCase         =					tokenizer.convert_ids_to_tokens(encoded[0]    )[0]
      self.assertNotEqual(__lowerCAmelCase      , __lowerCAmelCase    )

      _UpperCAmelCase         =					tokenizer.encode(__lowerCAmelCase      , add_special_tokens=__lowerCAmelCase      , add_prefix_space=__lowerCAmelCase    )
      _UpperCAmelCase         =					tokenizer.convert_ids_to_tokens(encoded[0]    )[0]
      self.assertEqual(__lowerCAmelCase      , __lowerCAmelCase    )

      tokenizer.add_special_tokens({"""bos_token""": """<s>"""}    )
      _UpperCAmelCase         =					tokenizer.encode(__lowerCAmelCase      , add_special_tokens=__lowerCAmelCase    )
      _UpperCAmelCase         =					tokenizer.convert_ids_to_tokens(encoded[1]    )[0]
      self.assertNotEqual(__lowerCAmelCase      , __lowerCAmelCase    )

      # Testing spaces after special tokens
      _UpperCAmelCase         =					"""<mask>"""
      tokenizer.add_special_tokens(
          {"""mask_token""": AddedToken(__lowerCAmelCase      , lstrip=__lowerCAmelCase      , rstrip=__lowerCAmelCase    )}    )  # mask token has a left space
      _UpperCAmelCase         =					tokenizer.convert_tokens_to_ids(__lowerCAmelCase    )

      _UpperCAmelCase         =					"""Encode <mask> sequence"""
      _UpperCAmelCase         =					"""Encode <mask>sequence"""

      _UpperCAmelCase         =					tokenizer.encode(__lowerCAmelCase    )
      _UpperCAmelCase         =					encoded.index(__lowerCAmelCase    )
      _UpperCAmelCase         =					tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]    )[0]
      self.assertEqual(__lowerCAmelCase      , __lowerCAmelCase    )

      _UpperCAmelCase         =					tokenizer.encode(__lowerCAmelCase    )
      _UpperCAmelCase         =					encoded.index(__lowerCAmelCase    )
      _UpperCAmelCase         =					tokenizer.convert_ids_to_tokens(encoded[mask_loc + 1]    )[0]
      self.assertNotEqual(__lowerCAmelCase      , __lowerCAmelCase    )


    def    lowerCAmelCase_     (    self		:     Optional[Any]    ):
      pass


    def    lowerCAmelCase_     (    self		:     Union[str, Any]    ):
      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''    ):
          _UpperCAmelCase         =					self.rust_tokenizer_class.from_pretrained(__lowerCAmelCase      , **__lowerCAmelCase    )
          _UpperCAmelCase         =					self.tokenizer_class.from_pretrained(__lowerCAmelCase      , **__lowerCAmelCase    )
          _UpperCAmelCase         =					"""A, <mask> AllenNLP sentence."""
          _UpperCAmelCase         =					tokenizer_r.encode_plus(__lowerCAmelCase      , add_special_tokens=__lowerCAmelCase      , return_token_type_ids=__lowerCAmelCase    )
          _UpperCAmelCase         =					tokenizer_p.encode_plus(__lowerCAmelCase      , add_special_tokens=__lowerCAmelCase      , return_token_type_ids=__lowerCAmelCase    )

          # token_type_ids should put 0 everywhere
          self.assertEqual(sum(tokens_r["""token_type_ids"""]    )      , sum(tokens_p["""token_type_ids"""]    )    )

          # attention_mask should put 1 everywhere, so sum over length should be 1
          self.assertEqual(
              sum(tokens_r["""attention_mask"""]    ) / len(tokens_r["""attention_mask"""]    )      , sum(tokens_p["""attention_mask"""]    ) / len(tokens_p["""attention_mask"""]    )      , )

          _UpperCAmelCase         =					tokenizer_r.convert_ids_to_tokens(tokens_r["""input_ids"""]    )
          _UpperCAmelCase         =					tokenizer_p.convert_ids_to_tokens(tokens_p["""input_ids"""]    )

          # Rust correctly handles the space before the mask while python doesnt
          self.assertSequenceEqual(tokens_p["""input_ids"""]      , [0, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]    )
          self.assertSequenceEqual(tokens_r["""input_ids"""]      , [0, 250, 6, 5_0264, 3823, 487, 2_1992, 3645, 4, 2]    )

          self.assertSequenceEqual(
              __lowerCAmelCase      , ["""<s>""", """A""", """,""", """<mask>""", """ĠAllen""", """N""", """LP""", """Ġsentence""", """.""", """</s>"""]    )
          self.assertSequenceEqual(
              __lowerCAmelCase      , ["""<s>""", """A""", """,""", """<mask>""", """ĠAllen""", """N""", """LP""", """Ġsentence""", """.""", """</s>"""]    )


    def    lowerCAmelCase_     (    self		:     List[str]    ):
      for trim_offsets, add_prefix_space in itertools.product([True, False]      , repeat=2    ):
        _UpperCAmelCase         =					self.rust_tokenizer_class.from_pretrained(
            self.tmpdirname      , use_fast=__lowerCAmelCase      , add_prefix_space=__lowerCAmelCase      , trim_offsets=__lowerCAmelCase    )

        _UpperCAmelCase         =					json.loads(tokenizer_r.backend_tokenizer.pre_tokenizer.__getstate__()    )
        _UpperCAmelCase         =					json.loads(tokenizer_r.backend_tokenizer.post_processor.__getstate__()    )

        self.assertEqual(pre_tokenizer_state["""add_prefix_space"""]      , __lowerCAmelCase    )

        self.assertEqual(post_processor_state["""add_prefix_space"""]      , __lowerCAmelCase    )
        self.assertEqual(post_processor_state["""trim_offsets"""]      , __lowerCAmelCase    )


    def    lowerCAmelCase_     (    self		:     Optional[int]    ):
      # Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space` and
      # `trim_offsets`
      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''    ):
          _UpperCAmelCase         =					"""hello"""  # `hello` is a token in the vocabulary of `pretrained_name`
          _UpperCAmelCase         =					f'''{text_of_1_token} {text_of_1_token}'''

          _UpperCAmelCase         =					self.rust_tokenizer_class.from_pretrained(
              __lowerCAmelCase      , use_fast=__lowerCAmelCase      , add_prefix_space=__lowerCAmelCase      , trim_offsets=__lowerCAmelCase    )
          _UpperCAmelCase         =					tokenizer_r(__lowerCAmelCase      , return_offsets_mapping=__lowerCAmelCase      , add_special_tokens=__lowerCAmelCase    )
          self.assertEqual(encoding.offset_mapping[0]      , (0, len(__lowerCAmelCase    ))    )
          self.assertEqual(
              encoding.offset_mapping[1]      , (len(__lowerCAmelCase    ) + 1, len(__lowerCAmelCase    ) + 1 + len(__lowerCAmelCase    ))      , )

          _UpperCAmelCase         =					self.rust_tokenizer_class.from_pretrained(
              __lowerCAmelCase      , use_fast=__lowerCAmelCase      , add_prefix_space=__lowerCAmelCase      , trim_offsets=__lowerCAmelCase    )
          _UpperCAmelCase         =					tokenizer_r(__lowerCAmelCase      , return_offsets_mapping=__lowerCAmelCase      , add_special_tokens=__lowerCAmelCase    )
          self.assertEqual(encoding.offset_mapping[0]      , (0, len(__lowerCAmelCase    ))    )
          self.assertEqual(
              encoding.offset_mapping[1]      , (len(__lowerCAmelCase    ) + 1, len(__lowerCAmelCase    ) + 1 + len(__lowerCAmelCase    ))      , )

          _UpperCAmelCase         =					self.rust_tokenizer_class.from_pretrained(
              __lowerCAmelCase      , use_fast=__lowerCAmelCase      , add_prefix_space=__lowerCAmelCase      , trim_offsets=__lowerCAmelCase    )
          _UpperCAmelCase         =					tokenizer_r(__lowerCAmelCase      , return_offsets_mapping=__lowerCAmelCase      , add_special_tokens=__lowerCAmelCase    )
          self.assertEqual(encoding.offset_mapping[0]      , (0, len(__lowerCAmelCase    ))    )
          self.assertEqual(
              encoding.offset_mapping[1]      , (len(__lowerCAmelCase    ), len(__lowerCAmelCase    ) + 1 + len(__lowerCAmelCase    ))      , )

          _UpperCAmelCase         =					self.rust_tokenizer_class.from_pretrained(
              __lowerCAmelCase      , use_fast=__lowerCAmelCase      , add_prefix_space=__lowerCAmelCase      , trim_offsets=__lowerCAmelCase    )
          _UpperCAmelCase         =					tokenizer_r(__lowerCAmelCase      , return_offsets_mapping=__lowerCAmelCase      , add_special_tokens=__lowerCAmelCase    )
          self.assertEqual(encoding.offset_mapping[0]      , (0, len(__lowerCAmelCase    ))    )
          self.assertEqual(
              encoding.offset_mapping[1]      , (len(__lowerCAmelCase    ), len(__lowerCAmelCase    ) + 1 + len(__lowerCAmelCase    ))      , )

          _UpperCAmelCase         =					f''' {text}'''

          # tokenizer_r = self.rust_tokenizer_class.from_pretrained(
          #     pretrained_name, use_fast=True, add_prefix_space=True, trim_offsets=True
          # )
          # encoding = tokenizer_r(text, return_offsets_mapping=True, add_special_tokens=False)
          # self.assertEqual(encoding.offset_mapping[0], (1, 1 + len(text_of_1_token)))
          # self.assertEqual(
          #     encoding.offset_mapping[1],
          #     (1 + len(text_of_1_token) + 1, 1 + len(text_of_1_token) + 1 + len(text_of_1_token)),
          # )

          _UpperCAmelCase         =					self.rust_tokenizer_class.from_pretrained(
              __lowerCAmelCase      , use_fast=__lowerCAmelCase      , add_prefix_space=__lowerCAmelCase      , trim_offsets=__lowerCAmelCase    )
          _UpperCAmelCase         =					tokenizer_r(__lowerCAmelCase      , return_offsets_mapping=__lowerCAmelCase      , add_special_tokens=__lowerCAmelCase    )
          self.assertEqual(encoding.offset_mapping[0]      , (1, 1 + len(__lowerCAmelCase    ))    )
          self.assertEqual(
              encoding.offset_mapping[1]      , (1 + len(__lowerCAmelCase    ) + 1, 1 + len(__lowerCAmelCase    ) + 1 + len(__lowerCAmelCase    ))      , )

          _UpperCAmelCase         =					self.rust_tokenizer_class.from_pretrained(
              __lowerCAmelCase      , use_fast=__lowerCAmelCase      , add_prefix_space=__lowerCAmelCase      , trim_offsets=__lowerCAmelCase    )
          _UpperCAmelCase         =					tokenizer_r(__lowerCAmelCase      , return_offsets_mapping=__lowerCAmelCase      , add_special_tokens=__lowerCAmelCase    )
          self.assertEqual(encoding.offset_mapping[0]      , (0, 1 + len(__lowerCAmelCase    ))    )
          self.assertEqual(
              encoding.offset_mapping[1]      , (1 + len(__lowerCAmelCase    ), 1 + len(__lowerCAmelCase    ) + 1 + len(__lowerCAmelCase    ))      , )

          _UpperCAmelCase         =					self.rust_tokenizer_class.from_pretrained(
              __lowerCAmelCase      , use_fast=__lowerCAmelCase      , add_prefix_space=__lowerCAmelCase      , trim_offsets=__lowerCAmelCase    )
          _UpperCAmelCase         =					tokenizer_r(__lowerCAmelCase      , return_offsets_mapping=__lowerCAmelCase      , add_special_tokens=__lowerCAmelCase    )
          self.assertEqual(encoding.offset_mapping[0]      , (0, 1 + len(__lowerCAmelCase    ))    )
          self.assertEqual(
              encoding.offset_mapping[1]      , (1 + len(__lowerCAmelCase    ), 1 + len(__lowerCAmelCase    ) + 1 + len(__lowerCAmelCase    ))      , )

"""simple docstring"""


from math import pow






def 			__UpperCAmelCase    (	lowercase      ,lowercase      ,lowercase      ,lowercase      ,lowercase      ,):







  """simple docstring"""
  if current_sum == needed_sum:
    # If the sum of the powers is equal to needed_sum, then we have a solution.
    solutions_count += 1
    return current_sum, solutions_count

  _UpperCAmelCase         =					int(pow(lowercase      ,lowercase						)						)
  if current_sum + i_to_n <= needed_sum:
    # If the sum of the powers is less than needed_sum, then continue adding powers.
    current_sum += i_to_n
    _UpperCAmelCase       , _UpperCAmelCase         =					backtrack(
        lowercase      ,lowercase      ,current_number + 1      ,lowercase      ,lowercase						)
    current_sum -= i_to_n
  if i_to_n < needed_sum:
    # If the power of i is less than needed_sum, then try with the next power.
    _UpperCAmelCase       , _UpperCAmelCase         =					backtrack(
        lowercase      ,lowercase      ,current_number + 1      ,lowercase      ,lowercase						)
  return current_sum, solutions_count






def 			__UpperCAmelCase    (	lowercase      ,lowercase						):







  """simple docstring"""
  if not (1 <= needed_sum <= 10_00 and 2 <= power <= 10):
    raise ValueError(
        """Invalid input\n"""
        """needed_sum must be between 1 and 1000, power between 2 and 10."""						)

  return backtrack(lowercase      ,lowercase      ,1      ,0      ,0						)[1]  # Return the solutions_count


if __name__ == "__main__":
    import doctest

    doctest.testmod()
