




'''simple docstring'''







from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


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

lowercase__     :  Any    					=			{
    'facebook/convnext-tiny-224': 'https://huggingface.co/facebook/convnext-tiny-224/resolve/main/config.json',
    # See all ConvNeXT models at https://huggingface.co/models?filter=convnext
}

class       lowerCamelCase_							(	lowerCAmelCase_					,    lowerCAmelCase_  ):






   '''simple docstring'''

   A :     Any				=	"convnext"


   def __init__(  self     ,						__UpperCamelCase=3     ,						__UpperCamelCase=4     ,						__UpperCamelCase=4     ,						__UpperCamelCase=None     ,						__UpperCamelCase=None     ,						__UpperCamelCase="gelu"     ,						__UpperCamelCase=0.02     ,						__UpperCamelCase=1e-12     ,						__UpperCamelCase=1e-6     ,						__UpperCamelCase=0.0     ,						__UpperCamelCase=2_24     ,						__UpperCamelCase=None     ,						__UpperCamelCase=None     ,						**__UpperCamelCase     ,						):
       super().__init__(**__UpperCamelCase )

       UpperCamelCase__      =			num_channels
       UpperCamelCase__      =			patch_size
       UpperCamelCase__      =			num_stages
       UpperCamelCase__      =			[96, 1_92, 3_84, 7_68] if hidden_sizes is None else hidden_sizes
       UpperCamelCase__      =			[3, 3, 9, 3] if depths is None else depths
       UpperCamelCase__      =			hidden_act
       UpperCamelCase__      =			initializer_range
       UpperCamelCase__      =			layer_norm_eps
       UpperCamelCase__      =			layer_scale_init_value
       UpperCamelCase__      =			drop_path_rate
       UpperCamelCase__      =			image_size
       UpperCamelCase__      =			["stem"] + [f'stage{idx}' for idx in range(1     ,						len(self.depths ) + 1 )]
       UpperCamelCase__    ,  UpperCamelCase__      =			get_aligned_output_features_output_indices(
           out_features=__UpperCamelCase     ,						out_indices=__UpperCamelCase     ,						stage_names=self.stage_names )

class       lowerCamelCase_							(	lowerCAmelCase_  ):






   '''simple docstring'''

   A :     List[Any]				=	version.parse("1.11"  )


   @property
   def 	_UpperCamelCase       (  self ):
       return OrderedDict(
           [
               ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
           ] )







   @property
   def 	_UpperCamelCase       (  self ):
       return 1e-5









'''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 ) )




