import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class 	__snake_case	( __lowerCAmelCase ,  unittest.TestCase		):





      '''simple docstring'''






      _snake_case     :   List[Any]    		=       MgpstrTokenizer
      _snake_case     :   Optional[int]    		=       False
      _snake_case     :   List[Any]    		=       {}
      _snake_case     :   Dict    		=       False



      def 	_SCREAMING_SNAKE_CASE    (					self     :				Tuple)				->Dict:


          """simple docstring"""


          super().setUp()

          # fmt: off
          _lowerCamelCase     :		Any 						=						["""[GO]""", """[s]""", """0""", """1""", """2""", """3""", """4""", """5""", """6""", """7""", """8""", """9""", """a""", """b""", """c""", """d""", """e""", """f""", """g""", """h""", """i""", """j""", """k""", """l""", """m""", """n""", """o""", """p""", """q""", """r""", """s""", """t""", """u""", """v""", """w""", """x""", """y""", """z"""]
          # fmt: on
          _lowerCamelCase     :		Optional[int] 						=						dict(zip(_UpperCamelCase    ,  range(len(_UpperCamelCase))))

          _lowerCamelCase     :		str 						=						os.path.join(self.tmpdirname    ,  VOCAB_FILES_NAMES["""vocab_file"""])
          with open(self.vocab_file    ,  """w"""    ,  encoding="""utf-8""") as fp:
              fp.write(json.dumps(_UpperCamelCase) + """\n""")



      def 	_SCREAMING_SNAKE_CASE    (					self     :				Any    ,  **_UpperCamelCase     :				List[Any])				->int:


          """simple docstring"""


          return MgpstrTokenizer.from_pretrained(self.tmpdirname    ,  **_UpperCamelCase)



      def 	_SCREAMING_SNAKE_CASE    (					self     :				List[str]    ,  _UpperCamelCase     :				List[str])				->str:


          """simple docstring"""


          _lowerCamelCase     :		str 						=						"""tester"""
          _lowerCamelCase     :		int 						=						"""tester"""
          return input_text, output_text



      @unittest.skip("""MGP-STR always lower cases letters.""")
      def 	_SCREAMING_SNAKE_CASE    (					self     :				Union[str, Any])				->Any:


          """simple docstring"""


          pass



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


          """simple docstring"""


          _lowerCamelCase     :		Any 						=						self.get_tokenizers(do_lower_case=_UpperCamelCase)
          for tokenizer in tokenizers:
              with self.subTest(F"""{tokenizer.__class__.__name__}"""):
                  _lowerCamelCase     :		Optional[Any] 						=						"""[SPECIAL_TOKEN]"""

                  tokenizer.add_special_tokens({"""cls_token""": special_token})
                  _lowerCamelCase     :		Optional[Any] 						=						tokenizer.encode([special_token]    ,  add_special_tokens=_UpperCamelCase)
                  self.assertEqual(len(_UpperCamelCase)    ,  1)

                  _lowerCamelCase     :		Any 						=						tokenizer.decode(_UpperCamelCase    ,  skip_special_tokens=_UpperCamelCase)
                  self.assertTrue(special_token not in decoded)



      def 	_SCREAMING_SNAKE_CASE    (					self     :				Dict)				->str:


          """simple docstring"""


          _lowerCamelCase     :		Tuple 						=						self.get_tokenizers()
          for tokenizer in tokenizers:
              with self.subTest(F"""{tokenizer.__class__.__name__}"""):
                  _lowerCamelCase     :		List[Any] 						=						self.get_input_output_texts(_UpperCamelCase)

                  _lowerCamelCase     :		Dict 						=						tokenizer.tokenize(_UpperCamelCase)
                  _lowerCamelCase     :		Optional[int] 						=						tokenizer.convert_tokens_to_ids(_UpperCamelCase)
                  _lowerCamelCase     :		Any 						=						tokenizer.encode(_UpperCamelCase    ,  add_special_tokens=_UpperCamelCase)
                  self.assertListEqual(_UpperCamelCase    ,  _UpperCamelCase)

                  _lowerCamelCase     :		Optional[Any] 						=						tokenizer.convert_ids_to_tokens(_UpperCamelCase)
                  self.assertNotEqual(len(_UpperCamelCase)    ,  0)
                  _lowerCamelCase     :		str 						=						tokenizer.decode(_UpperCamelCase)
                  self.assertIsInstance(_UpperCamelCase    ,  _UpperCamelCase)

                  self.assertEqual(text_a.replace(""" """    ,  """""")    ,  _UpperCamelCase)



      @unittest.skip("""MGP-STR tokenizer only handles one sequence.""")
      def 	_SCREAMING_SNAKE_CASE    (					self     :				List[Any])				->Dict:


          """simple docstring"""


          pass




      @unittest.skip("""inputs cannot be pretokenized in MgpstrTokenizer""")
      def 	_SCREAMING_SNAKE_CASE    (					self     :				Dict)				->int:


          """simple docstring"""


          pass





def 						A__  (					__A   , __A	):







    '''simple docstring'''
    _enforce_args(__A   , __A	)
    if n == 0:
        return 0
    _lowerCamelCase     :		Tuple 						=						float("""-inf"""	)
    for i in range(1   , n + 1	):
        _lowerCamelCase     :		Any 						=						max(
            __A   , prices[i - 1] + naive_cut_rod_recursive(n - i   , __A	)	)

    return max_revue







def 						A__  (					__A   , __A	):







    '''simple docstring'''
    _enforce_args(__A   , __A	)
    _lowerCamelCase     :		Optional[Any] 						=						[float("""-inf"""	) for _ in range(n + 1	)]
    return _top_down_cut_rod_recursive(__A   , __A   , __A	)







def 						A__  (					__A   , __A   , __A	):







    '''simple docstring'''
    if max_rev[n] >= 0:
        return max_rev[n]
    elif n == 0:
        return 0
    else:
        _lowerCamelCase     :		int 						=						float("""-inf"""	)
        for i in range(1   , n + 1	):
            _lowerCamelCase     :		Optional[Any] 						=						max(
                __A   , prices[i - 1] + _top_down_cut_rod_recursive(n - i   , __A   , __A	)   , )

        _lowerCamelCase     :		Optional[Any] 						=						max_revenue

    return max_rev[n]







def 						A__  (					__A   , __A	):







    '''simple docstring'''
    _enforce_args(__A   , __A	)

    # length(max_rev) = n + 1, to accommodate for the revenue obtainable from a rod of
    # length 0.
    _lowerCamelCase     :		List[Any] 						=						[float("""-inf"""	) for _ in range(n + 1	)]
    _lowerCamelCase     :		Any 						=						0

    for i in range(1   , n + 1	):
        _lowerCamelCase     :		Any 						=						max_rev[i]
        for j in range(1   , i + 1	):
            _lowerCamelCase     :		List[Any] 						=						max(__A   , prices[j - 1] + max_rev[i - j]	)

        _lowerCamelCase     :		int 						=						max_revenue_i

    return max_rev[n]







def 						A__  (					__A   , __A	):







    '''simple docstring'''
    if n < 0:
        _lowerCamelCase     :		Any 						=						F"""n must be greater than or equal to 0. Got n = {n}"""
        raise ValueError(__A	)

    if n > len(__A	):
        _lowerCamelCase     :		List[Any] 						=						(
            """Each integral piece of rod must have a corresponding price. """
            F"""Got n = {n} but length of prices = {len(__A	)}"""
        )
        raise ValueError(__A	)







def 						A__  (					):







    '''simple docstring'''
    _lowerCamelCase     :		str 						=						[6, 10, 12, 15, 20, 23]
    _lowerCamelCase     :		List[str] 						=						len(__A	)

    # the best revenue comes from cutting the rod into 6 pieces, each
    # of length 1 resulting in a revenue of 6 * 6 = 36.
    _lowerCamelCase     :		Tuple 						=						36

    _lowerCamelCase     :		Any 						=						top_down_cut_rod(__A   , __A	)
    _lowerCamelCase     :		Dict 						=						bottom_up_cut_rod(__A   , __A	)
    _lowerCamelCase     :		List[str] 						=						naive_cut_rod_recursive(__A   , __A	)

    assert expected_max_revenue == max_rev_top_down
    assert max_rev_top_down == max_rev_bottom_up
    assert max_rev_bottom_up == max_rev_naive


if __name__ == "__main__":
    main()




