
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        _SCREAMING_SNAKE_CASE	( __snake_case     ,			unittest.TestCase		):
	lowerCAmelCase__   =					MgpstrTokenizer
	lowerCAmelCase__   =					False
	lowerCAmelCase__   =					{}
	lowerCAmelCase__   =					False



	def        SCREAMING_SNAKE_CASE_(       self					)							->			Optional[int]:
					super().setUp()

					# fmt: off
					lowerCamelCase_         =     ["[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_         =     dict(zip(_SCREAMING_SNAKE_CASE		,    range(len(_SCREAMING_SNAKE_CASE					)					)					)					)

					lowerCamelCase_         =     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(_SCREAMING_SNAKE_CASE					) + "\n"					)



	def        SCREAMING_SNAKE_CASE_(       self		,    **lowercase					)							->			int:
					return MgpstrTokenizer.from_pretrained(self.tmpdirname		,    **_SCREAMING_SNAKE_CASE					)



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			Optional[Any]:
					lowerCamelCase_         =     "tester"
					lowerCamelCase_         =     "tester"
					return input_text, output_text



	@unittest.skip("MGP-STR always lower cases letters."					)
	def        SCREAMING_SNAKE_CASE_(       self					)							->			str:
					pass



	def        SCREAMING_SNAKE_CASE_(       self					)							->			Union[str, Any]:
					lowerCamelCase_         =     self.get_tokenizers(do_lower_case=_SCREAMING_SNAKE_CASE					)
					for tokenizer in tokenizers:
									with self.subTest(f'{tokenizer.__class__.__name__}'					):
													lowerCamelCase_         =     "[SPECIAL_TOKEN]"

													tokenizer.add_special_tokens({"cls_token": special_token}					)
													lowerCamelCase_         =     tokenizer.encode([special_token]		,    add_special_tokens=_SCREAMING_SNAKE_CASE					)
													self.assertEqual(len(_SCREAMING_SNAKE_CASE					)		,    1					)

													lowerCamelCase_         =     tokenizer.decode(_SCREAMING_SNAKE_CASE		,    skip_special_tokens=_SCREAMING_SNAKE_CASE					)
													self.assertTrue(special_token not in decoded					)



	def        SCREAMING_SNAKE_CASE_(       self					)							->			Optional[Any]:
					lowerCamelCase_         =     self.get_tokenizers()
					for tokenizer in tokenizers:
									with self.subTest(f'{tokenizer.__class__.__name__}'					):
													lowerCamelCase_      ,       lowerCamelCase_         =     self.get_input_output_texts(_SCREAMING_SNAKE_CASE					)

													lowerCamelCase_         =     tokenizer.tokenize(_SCREAMING_SNAKE_CASE					)
													lowerCamelCase_         =     tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE					)
													lowerCamelCase_         =     tokenizer.encode(_SCREAMING_SNAKE_CASE		,    add_special_tokens=_SCREAMING_SNAKE_CASE					)
													self.assertListEqual(_SCREAMING_SNAKE_CASE		,    _SCREAMING_SNAKE_CASE					)

													lowerCamelCase_         =     tokenizer.convert_ids_to_tokens(_SCREAMING_SNAKE_CASE					)
													self.assertNotEqual(len(_SCREAMING_SNAKE_CASE					)		,    0					)
													lowerCamelCase_         =     tokenizer.decode(_SCREAMING_SNAKE_CASE					)
													self.assertIsInstance(_SCREAMING_SNAKE_CASE		,    _SCREAMING_SNAKE_CASE					)

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



	@unittest.skip("MGP-STR tokenizer only handles one sequence."					)
	def        SCREAMING_SNAKE_CASE_(       self					)							->			Optional[int]:
					pass



	@unittest.skip("inputs cannot be pretokenized in MgpstrTokenizer"					)
	def        SCREAMING_SNAKE_CASE_(       self					)							->			Optional[Any]:
					pass










def 		lowercase__  (				_UpperCamelCase) ->			list:
      """simple docstring"""

      if bit_count < 0:
            raise ValueError('The given input must be positive')

      # get the generated string sequence
      UpperCamelCase					       =  gray_code_sequence_string(_UpperCamelCase)
      #
      # convert them to integers
      for i in range(len(_UpperCamelCase)):
            UpperCamelCase					       =  int(sequence[i]       ,							2)

      return sequence
def 		lowercase__  (				_UpperCamelCase) ->			list:
      """simple docstring"""

      if bit_count == 0:
            return ["0"]

      if bit_count == 1:
            return ["0", "1"]

      UpperCamelCase					       =  1 << bit_count  # defines the length of the sequence
      # 1<< n is equivalent to 2^n

      # recursive answer will generate answer for n-1 bits
      UpperCamelCase					       =  gray_code_sequence_string(bit_count - 1)

      UpperCamelCase					       =  []

      # append 0 to first half of the smaller sequence generated
      for i in range(seq_len // 2):
            UpperCamelCase					       =  '0' + smaller_sequence[i]
            sequence.append(_UpperCamelCase)

      # append 1 to second half ... start from the end of the list
      for i in reversed(range(seq_len // 2)):
            UpperCamelCase					       =  '1' + smaller_sequence[i]
            sequence.append(_UpperCamelCase)

      return sequence


if __name__ == "__main__":
       import doctest

       doctest.testmod()



