





'''simple docstring'''




import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin







class   A_	(  lowerCAmelCase_							,						unittest.TestCase			):
 _lowerCamelCase  : str           =							CTRLTokenizer
 _lowerCamelCase  : str           =							False
 _lowerCamelCase  : str           =							False




 def      lowercase	(					self       :    List[Any]    ):
      super().setUp()

      # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
      _UpperCAmelCase     							=   ["adapt", "re@@", "a@@", "apt", "c@@", "t", "<unk>"]
      _UpperCAmelCase     							=   dict(zip(snake_case_	,			range(len(snake_case_    )    )    )    )
      _UpperCAmelCase     							=   ["#version: 0.2", "a p", "ap t</w>", "r e", "a d", "ad apt</w>", ""]
      _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(snake_case_    ) + "\n"    )
      with open(self.merges_file	,			"w"	,			encoding="utf-8"    ) as fp:
           fp.write("\n".join(snake_case_    )    )




 def      lowercase	(					self       :    List[Any]	,			**snake_case_       :    str    ):
      kwargs.update(self.special_tokens_map    )
      return CTRLTokenizer.from_pretrained(self.tmpdirname	,			**snake_case_    )




 def      lowercase	(					self       :    Dict	,			snake_case_       :    Dict    ):
      _UpperCAmelCase     							=   "adapt react readapt apt"
      _UpperCAmelCase     							=   "adapt react readapt apt"
      return input_text, output_text




 def      lowercase	(					self       :    str    ):
      _UpperCAmelCase     							=   CTRLTokenizer(self.vocab_file	,			self.merges_file	,			**self.special_tokens_map    )
      _UpperCAmelCase     							=   "adapt react readapt apt"
      _UpperCAmelCase     							=   "adapt re@@ a@@ c@@ t re@@ adapt apt".split()
      _UpperCAmelCase     							=   tokenizer.tokenize(snake_case_    )
      self.assertListEqual(snake_case_	,			snake_case_    )

      _UpperCAmelCase     							=   tokens + [tokenizer.unk_token]

      _UpperCAmelCase     							=   [0, 1, 2, 4, 5, 1, 0, 3, 6]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_    )	,			snake_case_    )





"""simple docstring"""


import warnings


warnings.warn(
    """memory_utils has been reorganized to utils.memory. Import `find_executable_batchsize` from the main `__init__`: """
    """`from accelerate import find_executable_batch_size` to avoid this warning.""",
    FutureWarning,
)
