




'''simple docstring'''







import copy
from typing import Dict

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING
from ..bit import BitConfig


lowercase__     :  Optional[int]    					=			logging.get_logger(__name__)

lowercase__     :  List[Any]    					=			{
    'google/vit-hybrid-base-bit-384': 'https://huggingface.co/vit-hybrid-base-bit-384/resolve/main/config.json',
    # See all ViT hybrid models at https://huggingface.co/models?filter=vit
}

class       lowerCamelCase_							(	lowerCamelCase__  ):






   '''simple docstring'''

   A :     Tuple				=	'vit-hybrid'


   def __init__(  self     ,						__UpperCamelCase=None     ,						__UpperCamelCase=7_68     ,						__UpperCamelCase=12     ,						__UpperCamelCase=12     ,						__UpperCamelCase=30_72     ,						__UpperCamelCase="gelu"     ,						__UpperCamelCase=0.0     ,						__UpperCamelCase=0.0     ,						__UpperCamelCase=0.02     ,						__UpperCamelCase=1e-12     ,						__UpperCamelCase=2_24     ,						__UpperCamelCase=1     ,						__UpperCamelCase=3     ,						__UpperCamelCase=[1, 10_24, 24, 24]     ,						__UpperCamelCase=True     ,						**__UpperCamelCase     ,						):
       super().__init__(**lowercase_ )

       if backbone_config is None:
           logger.info("`backbone_config` is `None`. Initializing the config with a `BiT` backbone." )
           UpperCamelCase__      =			{
               "global_padding": "same",
               "layer_type": "bottleneck",
               "depths": [3, 4, 9],
               "out_features": ["stage3"],
               "embedding_dynamic_padding": True,
           }

       if isinstance(lowercase_     ,						lowercase_ ):
           if "model_type" in backbone_config:
               UpperCamelCase__      =			CONFIG_MAPPING[backbone_config["model_type"]]
           else:
               logger.info(
                   "`model_type` is not found in `backbone_config`. Use `Bit` as the backbone configuration class." )
               UpperCamelCase__      =			BitConfig
           UpperCamelCase__      =			backbone_config_class(**lowercase_ )

       UpperCamelCase__      =			backbone_featmap_shape
       UpperCamelCase__      =			backbone_config
       UpperCamelCase__      =			hidden_size
       UpperCamelCase__      =			num_hidden_layers
       UpperCamelCase__      =			num_attention_heads
       UpperCamelCase__      =			intermediate_size
       UpperCamelCase__      =			hidden_act
       UpperCamelCase__      =			hidden_dropout_prob
       UpperCamelCase__      =			attention_probs_dropout_prob
       UpperCamelCase__      =			initializer_range
       UpperCamelCase__      =			layer_norm_eps
       UpperCamelCase__      =			image_size
       UpperCamelCase__      =			patch_size
       UpperCamelCase__      =			num_channels
       UpperCamelCase__      =			qkv_bias







   def 	_UpperCamelCase       (  self ):
       UpperCamelCase__      =			copy.deepcopy(self.__dict__ )
       UpperCamelCase__      =			self.backbone_config.to_dict()
       UpperCamelCase__      =			self.__class__.model_type
       return output









'''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       lowerCamelCase_							(	unittest.TestCase					,    lowerCAmelCase_  ):






   '''simple docstring'''

   def 	_UpperCamelCase       (  self ):
       UpperCamelCase__      =			load_tool("translation" )
       self.tool.setup()
       UpperCamelCase__      =			load_tool("translation"     ,						remote=__UpperCamelCase )


   def 	_UpperCamelCase       (  self ):
       UpperCamelCase__      =			self.tool("Hey, what's up?"     ,						src_lang="English"     ,						tgt_lang="French" )
       self.assertEqual(__UpperCamelCase     ,						"- Hé, comment ça va?" )


   def 	_UpperCamelCase       (  self ):
       UpperCamelCase__      =			self.remote_tool("Hey, what's up?"     ,						src_lang="English"     ,						tgt_lang="French" )
       self.assertEqual(__UpperCamelCase     ,						"- Hé, comment ça va?" )


   def 	_UpperCamelCase       (  self ):
       UpperCamelCase__      =			self.tool(text="Hey, what's up?"     ,						src_lang="English"     ,						tgt_lang="French" )
       self.assertEqual(__UpperCamelCase     ,						"- Hé, comment ça va?" )


   def 	_UpperCamelCase       (  self ):
       UpperCamelCase__      =			self.remote_tool(text="Hey, what's up?"     ,						src_lang="English"     ,						tgt_lang="French" )
       self.assertEqual(__UpperCamelCase     ,						"- Hé, comment ça va?" )


   def 	_UpperCamelCase       (  self ):
       UpperCamelCase__      =			["Hey, what's up?", "English", "Spanish"]
       UpperCamelCase__      =			self.tool(*__UpperCamelCase )

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

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


   def 	_UpperCamelCase       (  self ):
       UpperCamelCase__      =			["Hey, what's up?", "English", "Spanish"]
       UpperCamelCase__      =			self.tool(*__UpperCamelCase )

       if not isinstance(__UpperCamelCase     ,						__UpperCamelCase ):
           UpperCamelCase__      =			[outputs]

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

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







   def 	_UpperCamelCase       (  self ):
       UpperCamelCase__      =			["Hey, what's up?", "English", "Spanish"]

       UpperCamelCase__      =			[]

       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
       UpperCamelCase__      =			self.tool(*__UpperCamelCase )

       if not isinstance(__UpperCamelCase     ,						__UpperCamelCase ):
           UpperCamelCase__      =			[outputs]

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




