code: 
  
  
  
  
  
  from collections import OrderedDict
  from typing import Mapping
  
  from ...configuration_utils import PretrainedConfig
  from ...onnx import OnnxConfig
  from ...utils import logging
  
  
  lowerCAmelCase_   =   logging.get_logger(__name__)
  
  lowerCAmelCase_   =   {
      "squeezebert/squeezebert-uncased": (
          "https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/config.json"
      ),
      "squeezebert/squeezebert-mnli": "https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/config.json",
      "squeezebert/squeezebert-mnli-headless": (
          "https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/config.json"
      ),
  }
  
  class 				A    (__UpperCAmelCase				):
        _SCREAMING_SNAKE_CASE					=							SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
        _SCREAMING_SNAKE_CASE					=							"""squeezebert"""
  
  
  
        def __init__(					self     ,  lowercase_=3_0522     ,  lowercase_=768     ,  lowercase_=12     ,  lowercase_=12     ,  lowercase_=3072     ,  lowercase_="gelu"     ,  lowercase_=0.1     ,  lowercase_=0.1     ,  lowercase_=512     ,  lowercase_=2     ,  lowercase_=0.02     ,  lowercase_=1E-12     ,  lowercase_=0     ,  lowercase_=768     ,  lowercase_=4     ,  lowercase_=4     ,  lowercase_=4     ,  lowercase_=1     ,  lowercase_=4     ,  lowercase_=4     ,  **lowercase_     ,  )      ->   Tuple:
  
  
  
               '''simple docstring'''
  
               super().__init__(pad_token_id=lowercase_     ,  **lowercase_					)
  
               _snake_case      :							Optional[Any]     				=						vocab_size
               _snake_case      :							Union[str, Any]     				=						hidden_size
               _snake_case      :							List[str]     				=						num_hidden_layers
               _snake_case      :							Dict     				=						num_attention_heads
               _snake_case      :							List[Any]     				=						hidden_act
               _snake_case      :							str     				=						intermediate_size
               _snake_case      :							List[str]     				=						hidden_dropout_prob
               _snake_case      :							Optional[Any]     				=						attention_probs_dropout_prob
               _snake_case      :							Dict     				=						max_position_embeddings
               _snake_case      :							Tuple     				=						type_vocab_size
               _snake_case      :							Optional[Any]     				=						initializer_range
               _snake_case      :							str     				=						layer_norm_eps
               _snake_case      :							Optional[Any]     				=						embedding_size
               _snake_case      :							Optional[Any]     				=						q_groups
               _snake_case      :							Optional[Any]     				=						k_groups
               _snake_case      :							Dict     				=						v_groups
               _snake_case      :							List[Any]     				=						post_attention_groups
               _snake_case      :							List[Any]     				=						intermediate_groups
               _snake_case      :							Optional[int]     				=						output_groups
  
  
  class 				A    (__UpperCAmelCase				):
  
  
  
        @property
        def    __a (					self					)      ->   Mapping[str, Mapping[int, str]]:
  
  
  
               '''simple docstring'''
  
               if self.task == "multiple-choice":
                      _snake_case      :							List[str]     				=						{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
               else:
                      _snake_case      :							Optional[Any]     				=						{0: '''batch''', 1: '''sequence'''}
               return OrderedDict(
                   [
                       ('''input_ids''', dynamic_axis),
                       ('''attention_mask''', dynamic_axis),
                       ('''token_type_ids''', dynamic_axis),
                   ]					)
  
  
  
  
  
  
  
style_context: 
  
  
  
  
  
  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       ,__UpperCAmelCase				):
  
  
  
        def    __a (					self					)      ->   str:
  
  
  
               '''simple docstring'''
  
               _snake_case      :							List[Any]     				=						load_tool('''translation'''					)
               self.tool.setup()
               _snake_case      :							Any     				=						load_tool('''translation'''     ,  remote=lowercase_					)
  
  
  
        def    __a (					self					)      ->   Optional[int]:
  
  
  
               '''simple docstring'''
  
               _snake_case      :							Tuple     				=						self.tool('''Hey, what\'s up?'''     ,  src_lang='''English'''     ,  tgt_lang='''French'''					)
               self.assertEqual(lowercase_     ,  '''- Hé, comment ça va?'''					)
  
  
  
        def    __a (					self					)      ->   Union[str, Any]:
  
  
  
               '''simple docstring'''
  
               _snake_case      :							Optional[int]     				=						self.remote_tool('''Hey, what\'s up?'''     ,  src_lang='''English'''     ,  tgt_lang='''French'''					)
               self.assertEqual(lowercase_     ,  '''- Hé, comment ça va?'''					)
  
  
  
        def    __a (					self					)      ->   List[Any]:
  
  
  
               '''simple docstring'''
  
               _snake_case      :							Dict     				=						self.tool(text='''Hey, what\'s up?'''     ,  src_lang='''English'''     ,  tgt_lang='''French'''					)
               self.assertEqual(lowercase_     ,  '''- Hé, comment ça va?'''					)
  
  
  
        def    __a (					self					)      ->   Dict:
  
  
  
               '''simple docstring'''
  
               _snake_case      :							List[Any]     				=						self.remote_tool(text='''Hey, what\'s up?'''     ,  src_lang='''English'''     ,  tgt_lang='''French'''					)
               self.assertEqual(lowercase_     ,  '''- Hé, comment ça va?'''					)
  
  
  
        def    __a (					self					)      ->   str:
  
  
  
               '''simple docstring'''
  
               _snake_case      :							Optional[int]     				=						['''Hey, what\'s up?''', '''English''', '''Spanish''']
               _snake_case      :							Dict     				=						self.tool(*lowercase_					)
  
               # There is a single output
               if len(self.tool.outputs					) == 1:
                      _snake_case      :							Optional[Any]     				=						[outputs]
  
               self.assertListEqual(output_types(lowercase_					)     ,  self.tool.outputs					)
  
  
  
        def    __a (					self					)      ->   Tuple:
  
  
  
               '''simple docstring'''
  
               _snake_case      :							Union[str, Any]     				=						['''Hey, what\'s up?''', '''English''', '''Spanish''']
               _snake_case      :							Dict     				=						self.tool(*lowercase_					)
  
               if not isinstance(lowercase_     ,  lowercase_					):
                      _snake_case      :							Optional[Any]     				=						[outputs]
  
               self.assertEqual(len(lowercase_					)     ,  len(self.tool.outputs					)					)
  
               for output, output_type in zip(lowercase_     ,  self.tool.outputs					):
                      _snake_case      :							List[str]     				=						AGENT_TYPE_MAPPING[output_type]
                      self.assertTrue(isinstance(lowercase_     ,  lowercase_					)					)
  
  
  
        def    __a (					self					)      ->   List[Any]:
  
  
  
               '''simple docstring'''
  
               _snake_case      :							Dict     				=						['''Hey, what\'s up?''', '''English''', '''Spanish''']
  
               _snake_case      :							Any     				=						[]
  
               for _input, input_type in zip(lowercase_     ,  self.tool.inputs					):
                      if isinstance(lowercase_     ,  lowercase_					):
                             _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      :							List[Any]     				=						self.tool(*lowercase_					)
  
               if not isinstance(lowercase_     ,  lowercase_					):
                      _snake_case      :							Any     				=						[outputs]
  
               self.assertEqual(len(lowercase_					)     ,  len(self.tool.outputs					)					)
  
  
  
  
  
  
  