






"""simple docstring"""





import unittest

from transformers import load_tool
from transformers.tools.agent_types import AGENT_TYPE_MAPPING

from .test_tools_common import ToolTesterMixin, output_types







class 						_a  (		unittest.TestCase							,	lowercase_       ):





   '''simple docstring'''






   def __lowercase							(       self)			->   Any:




          '''simple docstring'''




          lowercase__:							Dict         =     load_tool("translation")
          self.tool.setup()
          lowercase__:							Tuple         =     load_tool("translation"					, remote=UpperCAmelCase_)





   def __lowercase							(       self)			->   str:




          '''simple docstring'''




          lowercase__:							Union[str, Any]         =     self.tool("Hey, what's up?"					, src_lang="English"					, tgt_lang="French")
          self.assertEqual(UpperCAmelCase_					, "- Hé, comment ça va?")





   def __lowercase							(       self)			->   int:




          '''simple docstring'''




          lowercase__:							int         =     self.remote_tool("Hey, what's up?"					, src_lang="English"					, tgt_lang="French")
          self.assertEqual(UpperCAmelCase_					, "- Hé, comment ça va?")





   def __lowercase							(       self)			->   Any:




          '''simple docstring'''




          lowercase__:							Dict         =     self.tool(text="Hey, what's up?"					, src_lang="English"					, tgt_lang="French")
          self.assertEqual(UpperCAmelCase_					, "- Hé, comment ça va?")





   def __lowercase							(       self)			->   Any:




          '''simple docstring'''




          lowercase__:							Tuple         =     self.remote_tool(text="Hey, what's up?"					, src_lang="English"					, tgt_lang="French")
          self.assertEqual(UpperCAmelCase_					, "- Hé, comment ça va?")





   def __lowercase							(       self)			->   Dict:




          '''simple docstring'''




          lowercase__:							Optional[Any]         =     ["Hey, what's up?", "English", "Spanish"]
          lowercase__:							Any         =     self.tool(*UpperCAmelCase_)

          # There is a single output
          if len(self.tool.outputs) == 1:
                 lowercase__:							Dict         =     [outputs]

          self.assertListEqual(output_types(UpperCAmelCase_)					, self.tool.outputs)





   def __lowercase							(       self)			->   Tuple:




          '''simple docstring'''




          lowercase__:							Dict         =     ["Hey, what's up?", "English", "Spanish"]
          lowercase__:							Tuple         =     self.tool(*UpperCAmelCase_)

          if not isinstance(UpperCAmelCase_					, UpperCAmelCase_):
                 lowercase__:							Optional[int]         =     [outputs]

          self.assertEqual(len(UpperCAmelCase_)					, len(self.tool.outputs))

          for output, output_type in zip(UpperCAmelCase_					, self.tool.outputs):
                 lowercase__:							Tuple         =     AGENT_TYPE_MAPPING[output_type]
                 self.assertTrue(isinstance(UpperCAmelCase_					, UpperCAmelCase_))





   def __lowercase							(       self)			->   List[Any]:




          '''simple docstring'''




          lowercase__:							List[str]         =     ["Hey, what's up?", "English", "Spanish"]

          lowercase__:							Tuple         =     []

          for _input, input_type in zip(UpperCAmelCase_					, self.tool.inputs):
                 if isinstance(UpperCAmelCase_					, UpperCAmelCase_):
                        _inputs.append([AGENT_TYPE_MAPPING[_input_type](_input) for _input_type in input_type])
                 else:
                        _inputs.append(AGENT_TYPE_MAPPING[input_type](_input))

        # Should not raise an error
          lowercase__:							Tuple         =     self.tool(*UpperCAmelCase_)

          if not isinstance(UpperCAmelCase_					, UpperCAmelCase_):
                 lowercase__:							Union[str, Any]         =     [outputs]

          self.assertEqual(len(UpperCAmelCase_)					, len(self.tool.outputs))












"""simple docstring"""





import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


_lowercase						   =     logging.get_logger(__name__)

_lowercase						   =     {
    """facebook/musicgen-small""": """https://huggingface.co/facebook/musicgen-small/resolve/main/config.json""",
    # See all Musicgen models at https://huggingface.co/models?filter=musicgen
}

class    __lowercase							(      snake_case_						):


				'''simple docstring'''


				_lowerCAmelCase						      ="musicgen_decoder"
				_lowerCAmelCase						      =["past_key_values"]

				def __init__( self :  List[str]   ,SCREAMING_SNAKE_CASE_ :  Dict=2_0_4_8   ,SCREAMING_SNAKE_CASE_ :  str=2_0_4_8   ,SCREAMING_SNAKE_CASE_ :  List[str]=2_4   ,SCREAMING_SNAKE_CASE_ :  int=4_0_9_6   ,SCREAMING_SNAKE_CASE_ :  List[Any]=1_6   ,SCREAMING_SNAKE_CASE_ :  Dict=0.0   ,SCREAMING_SNAKE_CASE_ :  Any=True   ,SCREAMING_SNAKE_CASE_ :  Any="gelu"   ,SCREAMING_SNAKE_CASE_ :  Tuple=1_0_2_4   ,SCREAMING_SNAKE_CASE_ :  Any=0.1   ,SCREAMING_SNAKE_CASE_ :  List[str]=0.0   ,SCREAMING_SNAKE_CASE_ :  Optional[Any]=0.0   ,SCREAMING_SNAKE_CASE_ :  Tuple=0.02   ,SCREAMING_SNAKE_CASE_ :  Optional[Any]=False   ,SCREAMING_SNAKE_CASE_ :  List[str]=4   ,SCREAMING_SNAKE_CASE_ :  str=2_0_4_8   ,SCREAMING_SNAKE_CASE_ :  str=2_0_4_8   ,SCREAMING_SNAKE_CASE_ :  Optional[int]=None   ,SCREAMING_SNAKE_CASE_ :  Tuple=False   ,**SCREAMING_SNAKE_CASE_ :  Union[str, Any]   ,):
										snake_case__							:       List[str]				      =       vocab_size
										snake_case__							:       List[str]				      =       max_position_embeddings
										snake_case__							:       List[Any]				      =       hidden_size
										snake_case__							:       Dict				      =       ffn_dim
										snake_case__							:       Union[str, Any]				      =       num_hidden_layers
										snake_case__							:       List[str]				      =       num_attention_heads
										snake_case__							:       Optional[Any]				      =       dropout
										snake_case__							:       Dict				      =       attention_dropout
										snake_case__							:       Union[str, Any]				      =       activation_dropout
										snake_case__							:       Dict				      =       activation_function
										snake_case__							:       Union[str, Any]				      =       initializer_factor
										snake_case__							:       List[str]				      =       layerdrop
										snake_case__							:       Any				      =       use_cache
										snake_case__							:       Tuple				      =       scale_embedding  # scale factor will be sqrt(d_model) if True
										snake_case__							:       Any				      =       num_codebooks
										super().__init__(
										    pad_token_id=SCREAMING_SNAKE_CASE_   ,bos_token_id=SCREAMING_SNAKE_CASE_   ,eos_token_id=SCREAMING_SNAKE_CASE_   ,tie_word_embeddings=SCREAMING_SNAKE_CASE_   ,**SCREAMING_SNAKE_CASE_   ,)







class    __lowercase							(      snake_case_						):


				'''simple docstring'''


				_lowerCAmelCase						      ="musicgen"
				_lowerCAmelCase						      =True

				def __init__( self :  Optional[Any]   ,**SCREAMING_SNAKE_CASE_ :  Dict   ):
										super().__init__(**SCREAMING_SNAKE_CASE_   )
										if "text_encoder" not in kwargs or "audio_encoder" not in kwargs or "decoder" not in kwargs:
																raise ValueError('''Config has to be initialized with text_encoder, audio_encoder and decoder config'''   )

										snake_case__							:       Optional[int]				      =       kwargs.pop('''text_encoder'''   )
										snake_case__							:       Optional[Any]				      =       text_encoder_config.pop('''model_type'''   )

										snake_case__							:       Union[str, Any]				      =       kwargs.pop('''audio_encoder'''   )
										snake_case__							:       Dict				      =       audio_encoder_config.pop('''model_type'''   )

										snake_case__							:       Optional[Any]				      =       kwargs.pop('''decoder'''   )

										snake_case__							:       Union[str, Any]				      =       AutoConfig.for_model(SCREAMING_SNAKE_CASE_   ,**SCREAMING_SNAKE_CASE_   )
										snake_case__							:       List[Any]				      =       AutoConfig.for_model(SCREAMING_SNAKE_CASE_   ,**SCREAMING_SNAKE_CASE_   )
										snake_case__							:       List[str]				      =       MusicgenDecoderConfig(**SCREAMING_SNAKE_CASE_   )
										snake_case__							:       Union[str, Any]				      =       True

				@classmethod
				def    _lowerCamelCase       ( cls :  Dict   ,SCREAMING_SNAKE_CASE_ :  PretrainedConfig   ,SCREAMING_SNAKE_CASE_ :  PretrainedConfig   ,SCREAMING_SNAKE_CASE_ :  MusicgenDecoderConfig   ,**SCREAMING_SNAKE_CASE_ :  str   ,):
										return cls(
										    text_encoder=text_encoder_config.to_dict()   ,audio_encoder=audio_encoder_config.to_dict()   ,decoder=decoder_config.to_dict()   ,**SCREAMING_SNAKE_CASE_   ,)





				def    _lowerCamelCase       ( self :  Optional[Any]   ):
										snake_case__							:       Optional[Any]				      =       copy.deepcopy(self.__dict__   )
										snake_case__							:       Any				      =       self.text_encoder.to_dict()
										snake_case__							:       Dict				      =       self.audio_encoder.to_dict()
										snake_case__							:       Dict				      =       self.decoder.to_dict()
										snake_case__							:       Optional[int]				      =       self.__class__.model_type
										return output


