
from typing import Callable, Optional, Union

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


_A       =					logging.get_logger(__name__)

_A       =					{
    "microsoft/prophetnet-large-uncased": (
        "https://huggingface.co/microsoft/prophetnet-large-uncased/resolve/main/config.json"
    ),
}







class 	lowerCamelCase						(    A_    ):
     UpperCAmelCase__							:				Dict 	=						"prophetnet"
     UpperCAmelCase__							:				str 	=						["past_key_values"]
     UpperCAmelCase__							:				Any 	=						{
         "num_attention_heads": "num_encoder_attention_heads",
     }





     def __init__(self :       Any							,       _A :       Optional[float] = 0.1							,       _A :       Optional[Union[str, Callable]] = "gelu"							,       _A :       Optional[int] = 3_0_5_2_2							,       _A :       Optional[int] = 1_0_2_4							,       _A :       Optional[int] = 4_0_9_6							,       _A :       Optional[int] = 1_2							,       _A :       Optional[int] = 1_6							,       _A :       Optional[int] = 4_0_9_6							,       _A :       Optional[int] = 1_2							,       _A :       Optional[int] = 1_6							,       _A :       Optional[float] = 0.1							,       _A :       Optional[float] = 0.1							,       _A :       Optional[int] = 5_1_2							,       _A :       Optional[float] = 0.02							,       _A :       Optional[bool] = True							,       _A :       Optional[bool] = True							,       _A :       Optional[int] = 0							,       _A :       Optional[int] = 2							,       _A :       Optional[int] = 3_2							,       _A :       Optional[int] = 1_2_8							,       _A :       Optional[bool] = False							,       _A :       Optional[float] = 0.0							,       _A :       Optional[bool] = True							,       _A :       Optional[int] = 0							,       _A :       Optional[int] = 1							,       _A :       Optional[int] = 2							,       **_A :       Union[str, Any]							,       )		->		Dict:
         snake_case						=   vocab_size
         snake_case						=   hidden_size
         snake_case						=   encoder_ffn_dim
         snake_case						=   num_encoder_layers
         snake_case						=   num_encoder_attention_heads
         snake_case						=   decoder_ffn_dim
         snake_case						=   num_decoder_layers
         snake_case						=   num_decoder_attention_heads
         snake_case						=   max_position_embeddings
         snake_case						=   init_std  # Normal(0, this parameter)
         snake_case						=   activation_function

         # parameters for prophetnet
         snake_case						=   ngram
         snake_case						=   num_buckets
         snake_case						=   relative_max_distance
         snake_case						=   disable_ngram_loss
         snake_case						=   eps

         # 3 Types of Dropout
         snake_case						=   attention_dropout
         snake_case						=   activation_dropout
         snake_case						=   dropout

         snake_case						=   use_cache

         super().__init__(
             pad_token_id=_A							,       bos_token_id=_A							,       eos_token_id=_A							,       is_encoder_decoder=_A							,       add_cross_attention=_A							,       decoder_start_token_id=_A							,       **_A							,       )





     @property
     def 						UpperCAmelCase(self :       str  )		->		int:
         return self.num_encoder_layers + self.num_decoder_layers





     @num_hidden_layers.setter
     def 						UpperCAmelCase(self :       Tuple							,       _A :       Any  )		->		int:
         raise NotImplementedError(
             "This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and"
             " `num_decoder_layers`."  )



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 	lowerCamelCase						(    unittest.TestCase				,					A_    ):





     def 						UpperCAmelCase(self :       Any  )		->		int:
         snake_case						=   load_tool("translation"  )
         self.tool.setup()
         snake_case						=   load_tool("translation"							,       remote=_A  )





     def 						UpperCAmelCase(self :       Optional[Any]  )		->		Optional[int]:
         snake_case						=   self.tool("Hey, what's up?"							,       src_lang="English"							,       tgt_lang="French"  )
         self.assertEqual(_A							,       "- Hé, comment ça va?"  )





     def 						UpperCAmelCase(self :       str  )		->		int:
         snake_case						=   self.remote_tool("Hey, what's up?"							,       src_lang="English"							,       tgt_lang="French"  )
         self.assertEqual(_A							,       "- Hé, comment ça va?"  )





     def 						UpperCAmelCase(self :       str  )		->		List[str]:
         snake_case						=   self.tool(text="Hey, what's up?"							,       src_lang="English"							,       tgt_lang="French"  )
         self.assertEqual(_A							,       "- Hé, comment ça va?"  )





     def 						UpperCAmelCase(self :       Optional[Any]  )		->		str:
         snake_case						=   self.remote_tool(text="Hey, what's up?"							,       src_lang="English"							,       tgt_lang="French"  )
         self.assertEqual(_A							,       "- Hé, comment ça va?"  )





     def 						UpperCAmelCase(self :       Any  )		->		Tuple:
         snake_case						=   ["Hey, what's up?", "English", "Spanish"]
         snake_case						=   self.tool(*_A  )

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

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





     def 						UpperCAmelCase(self :       List[str]  )		->		List[Any]:
         snake_case						=   ["Hey, what's up?", "English", "Spanish"]
         snake_case						=   self.tool(*_A  )

         if not isinstance(_A							,       _A  ):
             snake_case						=   [outputs]

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

         for output, output_type in zip(_A							,       self.tool.outputs  ):
             snake_case						=   AGENT_TYPE_MAPPING[output_type]
             self.assertTrue(isinstance(_A							,       _A  )  )





     def 						UpperCAmelCase(self :       int  )		->		Any:
         snake_case						=   ["Hey, what's up?", "English", "Spanish"]

         snake_case						=   []

         for _input, input_type in zip(_A							,       self.tool.inputs  ):
             if isinstance(_A							,       _A  ):
                 _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
         snake_case						=   self.tool(*_A  )

         if not isinstance(_A							,       _A  ):
             snake_case						=   [outputs]

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

