"""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        UpperCamelCase		(			a__						,      unittest.TestCase  ):
   lowercase							=  CTRLTokenizer
   lowercase							=  False
   lowercase							=  False
   def 			_UpperCAmelCase   (			self			)	->      str:


        '''simple docstring'''


        super().setUp()

        # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
        lowercase_	:				Any													=	["""adapt""", """re@@""", """a@@""", """apt""", """c@@""", """t""", """<unk>"""]
        lowercase_	:				Dict													=	dict(zip(SCREAMING_SNAKE_CASE__     ,range(len(SCREAMING_SNAKE_CASE__			)			)			)			)
        lowercase_	:				Tuple													=	["""#version: 0.2""", """a p""", """ap t</w>""", """r e""", """a d""", """ad apt</w>""", """"""]
        lowercase_	:				List[str]													=	{"""unk_token""": """<unk>"""}

        lowercase_	:				List[str]													=	os.path.join(self.tmpdirname     ,VOCAB_FILES_NAMES['vocab_file']			)
        lowercase_	:				List[Any]													=	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(SCREAMING_SNAKE_CASE__			) + '\n'			)
        with open(self.merges_file     ,'w'     ,encoding='utf-8'			) as fp:
             fp.write('\n'.join(SCREAMING_SNAKE_CASE__			)			)
   def 			_UpperCAmelCase   (			self     ,**__UpperCamelCase			)	->      Any:


        '''simple docstring'''


        kwargs.update(self.special_tokens_map			)
        return CTRLTokenizer.from_pretrained(self.tmpdirname     ,**SCREAMING_SNAKE_CASE__			)
   def 			_UpperCAmelCase   (			self     ,__UpperCamelCase			)	->      str:


        '''simple docstring'''


        lowercase_	:				int													=	"""adapt react readapt apt"""
        lowercase_	:				str													=	"""adapt react readapt apt"""
        return input_text, output_text







   def 			_UpperCAmelCase   (			self			)	->      Dict:


        '''simple docstring'''


        lowercase_	:				Dict													=	CTRLTokenizer(self.vocab_file     ,self.merges_file     ,**self.special_tokens_map			)
        lowercase_	:				Dict													=	"""adapt react readapt apt"""
        lowercase_	:				Any													=	"""adapt re@@ a@@ c@@ t re@@ adapt apt""".split()
        lowercase_	:				List[Any]													=	tokenizer.tokenize(SCREAMING_SNAKE_CASE__			)
        self.assertListEqual(SCREAMING_SNAKE_CASE__     ,SCREAMING_SNAKE_CASE__			)

        lowercase_	:				str													=	tokens + [tokenizer.unk_token]

        lowercase_	:				int													=	[0, 1, 2, 4, 5, 1, 0, 3, 6]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE__			)     ,SCREAMING_SNAKE_CASE__			)



"""simple docstring"""




import pickle
import unittest

import torch

from accelerate import Accelerator
from accelerate.state import AcceleratorState
from accelerate.test_utils import require_cpu



@require_cpu
class 	lowerCAmelCase_						(unittest.TestCase  ):


				"""simple docstring"""



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



											"""simple docstring"""




											SCREAMING_SNAKE_CASE__						:       List[Any]           =   torch.nn.Linear(10   ,       10    )
											SCREAMING_SNAKE_CASE__						:       Optional[int]           =   torch.optim.SGD(model.parameters()   ,       0.1    )
											SCREAMING_SNAKE_CASE__						:       int           =   Accelerator()
											SCREAMING_SNAKE_CASE__						:       List[Any]           =   accelerator.prepare(SCREAMING_SNAKE_CASE__    )
											try:
																		pickle.loads(pickle.dumps(SCREAMING_SNAKE_CASE__    )    )
											except Exception as e:
																		self.fail(F'''Accelerated optimizer pickling failed with {e}'''    )
											AcceleratorState._reset_state()




