
"""simple docstring"""







from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase__   					=		logging.get_logger(__name__)

lowerCamelCase__   					=		{
    'edbeeching/decision-transformer-gym-hopper-medium': (
        'https://huggingface.co/edbeeching/decision-transformer-gym-hopper-medium/resolve/main/config.json'
    ),
    # See all DecisionTransformer models at https://huggingface.co/models?filter=decision_transformer
}




class  A__       (	A__):
		A_						:       Union[str, Any]				   =	'''decision_transformer'''
		A_						:       Dict				   =	['''past_key_values''']
		A_						:       Any				   =	{
		    '''max_position_embeddings''': '''n_positions''',
		    '''num_attention_heads''': '''n_head''',
		    '''num_hidden_layers''': '''n_layer''',
		}

		def __init__(      self       ,		_SCREAMING_SNAKE_CASE=17       ,		_SCREAMING_SNAKE_CASE=4       ,		_SCREAMING_SNAKE_CASE=1_28       ,		_SCREAMING_SNAKE_CASE=40_96       ,		_SCREAMING_SNAKE_CASE=True       ,		_SCREAMING_SNAKE_CASE=1       ,		_SCREAMING_SNAKE_CASE=10_24       ,		_SCREAMING_SNAKE_CASE=3       ,		_SCREAMING_SNAKE_CASE=1       ,		_SCREAMING_SNAKE_CASE=None       ,		_SCREAMING_SNAKE_CASE="relu"       ,		_SCREAMING_SNAKE_CASE=0.1       ,		_SCREAMING_SNAKE_CASE=0.1       ,		_SCREAMING_SNAKE_CASE=0.1       ,		_SCREAMING_SNAKE_CASE=1E-5       ,		_SCREAMING_SNAKE_CASE=0.02       ,		_SCREAMING_SNAKE_CASE=True       ,		_SCREAMING_SNAKE_CASE=True       ,		_SCREAMING_SNAKE_CASE=5_02_56       ,		_SCREAMING_SNAKE_CASE=5_02_56       ,		_SCREAMING_SNAKE_CASE=False       ,		_SCREAMING_SNAKE_CASE=False       ,		**_SCREAMING_SNAKE_CASE       ,		):
			__lowerCAmelCase			:						List[Any]									=      state_dim
			__lowerCAmelCase			:						Any									=      act_dim
			__lowerCAmelCase			:						str									=      hidden_size
			__lowerCAmelCase			:						List[Any]									=      max_ep_len
			__lowerCAmelCase			:						Optional[int]									=      action_tanh
			__lowerCAmelCase			:						List[str]									=      vocab_size
			__lowerCAmelCase			:						Dict									=      n_positions
			__lowerCAmelCase			:						Optional[int]									=      n_layer
			__lowerCAmelCase			:						Optional[Any]									=      n_head
			__lowerCAmelCase			:						List[str]									=      n_inner
			__lowerCAmelCase			:						str									=      activation_function
			__lowerCAmelCase			:						Union[str, Any]									=      resid_pdrop
			__lowerCAmelCase			:						Dict									=      embd_pdrop
			__lowerCAmelCase			:						List[str]									=      attn_pdrop
			__lowerCAmelCase			:						Union[str, Any]									=      layer_norm_epsilon
			__lowerCAmelCase			:						int									=      initializer_range
			__lowerCAmelCase			:						Any									=      scale_attn_weights
			__lowerCAmelCase			:						int									=      use_cache
			__lowerCAmelCase			:						int									=      scale_attn_by_inverse_layer_idx
			__lowerCAmelCase			:						Optional[Any]									=      reorder_and_upcast_attn

			__lowerCAmelCase			:						int									=      bos_token_id
			__lowerCAmelCase			:						Dict									=      eos_token_id

			super().__init__(bos_token_id=lowerCAmelCase__       ,		eos_token_id=lowerCAmelCase__       ,		**lowerCAmelCase__ )



import os
import unittest

from transformers.models.transfo_xl.tokenization_transfo_xl import VOCAB_FILES_NAMES, TransfoXLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin
class        _lowercase      (			A__						,			unittest.TestCase       ):






				'''simple docstring'''



				SCREAMING_SNAKE_CASE__				:			Optional[int]						=		TransfoXLTokenizer
				SCREAMING_SNAKE_CASE__				:			int						=		False
				SCREAMING_SNAKE_CASE__				:			Optional[Any]						=		False


				def 		__magic_name__(       self			:str	)		->			Dict:
										super().setUp()

										__SCREAMING_SNAKE_CASE						:     List[str]					=		[
										    '''<unk>''',
										    '''[CLS]''',
										    '''[SEP]''',
										    '''want''',
										    '''unwanted''',
										    '''wa''',
										    '''un''',
										    '''running''',
										    ''',''',
										    '''low''',
										    '''l''',
										]
										__SCREAMING_SNAKE_CASE						:     Any					=		os.path.join(self.tmpdirname			,			VOCAB_FILES_NAMES['''vocab_file''']	)
										with open(self.vocab_file			,			'''w'''			,			encoding='''utf-8'''	) as vocab_writer:
																vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]	)	)


				def 		__magic_name__(       self			:Any			,			**lowerCAmelCase__			:int	)		->			str:
										__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		True
										return TransfoXLTokenizer.from_pretrained(self.tmpdirname			,			**lowerCAmelCase__	)


				def 		__magic_name__(       self			:Union[str, Any]			,			lowerCAmelCase__			:List[Any]	)		->			Tuple:
										__SCREAMING_SNAKE_CASE						:     Dict					=		'''<unk> UNwanted , running'''
										__SCREAMING_SNAKE_CASE						:     List[str]					=		'''<unk> unwanted, running'''
										return input_text, output_text


				def 		__magic_name__(       self			:Any	)		->			Union[str, Any]:
										__SCREAMING_SNAKE_CASE						:     int					=		TransfoXLTokenizer(vocab_file=self.vocab_file			,			lower_case=lowerCAmelCase__	)

										__SCREAMING_SNAKE_CASE						:     int					=		tokenizer.tokenize('''<unk> UNwanted , running'''	)
										self.assertListEqual(lowerCAmelCase__			,			['''<unk>''', '''unwanted''', ''',''', '''running''']	)

										self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase__	)			,			[0, 4, 8, 7]	)


				def 		__magic_name__(       self			:Tuple	)		->			Union[str, Any]:
										__SCREAMING_SNAKE_CASE						:     Optional[int]					=		TransfoXLTokenizer(lower_case=lowerCAmelCase__	)

										self.assertListEqual(
										    tokenizer.tokenize(''' \tHeLLo ! how  \n Are yoU ?  '''	)			,			['''hello''', '''!''', '''how''', '''are''', '''you''', '''?''']	)


				def 		__magic_name__(       self			:Tuple	)		->			List[Any]:
										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		TransfoXLTokenizer(lower_case=lowerCAmelCase__	)

										self.assertListEqual(
										    tokenizer.tokenize(''' \tHeLLo ! how  \n Are yoU ?  '''	)			,			['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']	)


				def 		__magic_name__(       self			:Dict	)		->			List[Any]:
										__SCREAMING_SNAKE_CASE						:     List[str]					=		TransfoXLTokenizer(lower_case=lowerCAmelCase__	)
										__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		'''Hello (bracket) and side-scrolled [and] Henry\'s $5,000 with 3.34 m. What\'s up!?'''
										__SCREAMING_SNAKE_CASE						:     Optional[int]					=		[
										    '''Hello''',
										    '''(''',
										    '''bracket''',
										    ''')''',
										    '''and''',
										    '''side''',
										    '''@-@''',
										    '''scrolled''',
										    '''[''',
										    '''and''',
										    ''']''',
										    '''Henry''',
										    '''\'s''',
										    '''$''',
										    '''5''',
										    '''@,@''',
										    '''000''',
										    '''with''',
										    '''3''',
										    '''@.@''',
										    '''34''',
										    '''m''',
										    '''.''',
										    '''What''',
										    '''\'s''',
										    '''up''',
										    '''!''',
										    '''?''',
										]

										self.assertListEqual(tokenizer.tokenize(lowerCAmelCase__	)			,			lowerCAmelCase__	)

										self.assertEqual(tokenizer.convert_tokens_to_string(lowerCAmelCase__	)			,			lowerCAmelCase__	)



				def 		__magic_name__(       self			:str	)		->			int:
										__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		self.get_tokenizer()
										__SCREAMING_SNAKE_CASE						:     Any					=		len(lowerCAmelCase__	)

										tokenizer.add_tokens(['''new1''', '''new2''']	)
										tokenizer.move_added_token('''new1'''			,			1	)

										# Check that moved token is not copied (duplicate)
										self.assertEqual(len(lowerCAmelCase__	)			,			original_len + 2	)
										# Check that token is moved to specified id
										self.assertEqual(tokenizer.encode('''new1'''	)			,			[1]	)
										self.assertEqual(tokenizer.decode([1]	)			,			'''new1'''	)
