






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


UpperCamelCase											=      logging.get_logger(__name__)

UpperCamelCase											=      {
    '''uw-madison/yoso-4096''': '''https://huggingface.co/uw-madison/yoso-4096/resolve/main/config.json''',
    # See all YOSO models at https://huggingface.co/models?filter=yoso
}




class 	lowerCamelCase__				(							UpperCAmelCase ):
      lowerCamelCase_							:   List[Any]											=	'yoso'






      def __init__(self					:    Any		,		_snake_case					:    Optional[int]=5_0265		,		_snake_case					:    List[str]=768		,		_snake_case					:    Tuple=12		,		_snake_case					:    Optional[int]=12		,		_snake_case					:    List[str]=3072		,		_snake_case					:    List[Any]="gelu"		,		_snake_case					:    List[str]=0.1		,		_snake_case					:    Dict=0.1		,		_snake_case					:    Any=4096		,		_snake_case					:    Optional[int]=1		,		_snake_case					:    List[str]=0.02		,		_snake_case					:    List[Any]=1e-12		,		_snake_case					:    int="absolute"		,		_snake_case					:    Union[str, Any]=True		,		_snake_case					:    int=9		,		_snake_case					:    Tuple=64		,		_snake_case					:    Tuple=None		,		_snake_case					:    str=True		,		_snake_case					:    List[str]=True		,		_snake_case					:    Optional[Any]=1		,		_snake_case					:    List[str]=0		,		_snake_case					:    Any=2		,		**_snake_case					:    Dict		,		)       ->   Dict:


       """simple docstring"""






       super().__init__(pad_token_id=_snake_case		,		bos_token_id=_snake_case		,		eos_token_id=_snake_case		,		**_snake_case		)

       lowerCamelCase_							:    Optional[int]							=     vocab_size
       lowerCamelCase_							:    List[Any]							=     max_position_embeddings
       lowerCamelCase_							:    int							=     hidden_size
       lowerCamelCase_							:    Any							=     num_hidden_layers
       lowerCamelCase_							:    List[Any]							=     num_attention_heads
       lowerCamelCase_							:    Tuple							=     intermediate_size
       lowerCamelCase_							:    str							=     hidden_act
       lowerCamelCase_							:    Any							=     hidden_dropout_prob
       lowerCamelCase_							:    str							=     attention_probs_dropout_prob
       lowerCamelCase_							:    Optional[int]							=     initializer_range
       lowerCamelCase_							:    List[str]							=     type_vocab_size
       lowerCamelCase_							:    Any							=     layer_norm_eps
       lowerCamelCase_							:    Tuple							=     position_embedding_type
       lowerCamelCase_							:    Dict							=     use_expectation
       lowerCamelCase_							:    str							=     hash_code_len
       lowerCamelCase_							:    Any							=     num_hash
       lowerCamelCase_							:    str							=     conv_window
       lowerCamelCase_							:    List[Any]							=     use_fast_hash
       lowerCamelCase_							:    List[Any]							=     lsh_backward








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,   UpperCAmelCase ):






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


       """simple docstring"""






       lowerCamelCase_							:    str							=     load_tool('translation'		)
       self.tool.setup()
       lowerCamelCase_							:    Optional[int]							=     load_tool('translation'		,		remote=_snake_case		)






      def      UpperCAmelCase_     (self					:    Any		)       ->   Dict:


       """simple docstring"""






       lowerCamelCase_							:    Optional[Any]							=     self.tool('Hey, what\'s up?'		,		src_lang='English'		,		tgt_lang='French'		)
       self.assertEqual(_snake_case		,		'- Hé, comment ça va?'		)






      def      UpperCAmelCase_     (self					:    Optional[int]		)       ->   Dict:


       """simple docstring"""






       lowerCamelCase_							:    Optional[int]							=     self.remote_tool('Hey, what\'s up?'		,		src_lang='English'		,		tgt_lang='French'		)
       self.assertEqual(_snake_case		,		'- Hé, comment ça va?'		)






      def      UpperCAmelCase_     (self					:    List[str]		)       ->   Optional[int]:


       """simple docstring"""






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






      def      UpperCAmelCase_     (self					:    Any		)       ->   Tuple:


       """simple docstring"""






       lowerCamelCase_							:    Optional[int]							=     self.remote_tool(text='Hey, what\'s up?'		,		src_lang='English'		,		tgt_lang='French'		)
       self.assertEqual(_snake_case		,		'- Hé, comment ça va?'		)






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


       """simple docstring"""






       lowerCamelCase_							:    str							=     ['Hey, what\'s up?', 'English', 'Spanish']
       lowerCamelCase_							:    Any							=     self.tool(*_snake_case		)

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

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






      def      UpperCAmelCase_     (self					:    Tuple		)       ->   Optional[Any]:


       """simple docstring"""






       lowerCamelCase_							:    List[str]							=     ['Hey, what\'s up?', 'English', 'Spanish']
       lowerCamelCase_							:    Optional[Any]							=     self.tool(*_snake_case		)

       if not isinstance(_snake_case		,		_snake_case		):
        lowerCamelCase_							:    List[str]							=     [outputs]

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

       for output, output_type in zip(_snake_case		,		self.tool.outputs		):
        lowerCamelCase_							:    Optional[int]							=     AGENT_TYPE_MAPPING[output_type]
        self.assertTrue(isinstance(_snake_case		,		_snake_case		)		)






      def      UpperCAmelCase_     (self					:    Any		)       ->   Optional[Any]:


       """simple docstring"""






       lowerCamelCase_							:    Dict							=     ['Hey, what\'s up?', 'English', 'Spanish']

       lowerCamelCase_							:    List[str]							=     []

       for _input, input_type in zip(_snake_case		,		self.tool.inputs		):
        if isinstance(_snake_case		,		_snake_case		):
         _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
       lowerCamelCase_							:    Any							=     self.tool(*_snake_case		)

       if not isinstance(_snake_case		,		_snake_case		):
        lowerCamelCase_							:    Optional[Any]							=     [outputs]

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