


'''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 					snake_case   (   unittest.TestCase      ,						lowercase      ):





  """simple docstring"""




  def   snake_case		(   self					):







   """simple docstring"""
   lowerCamelCase_								=  load_tool("translation"					)
   self.tool.setup()
   lowerCamelCase_								=  load_tool("translation"      ,  remote=UpperCamelCase					)






  def   snake_case		(   self					):







   """simple docstring"""
   lowerCamelCase_								=  self.tool("Hey, what's up?"      ,  src_lang="English"      ,  tgt_lang="French"					)
   self.assertEqual(UpperCamelCase      ,  "- Hé, comment ça va?"					)






  def   snake_case		(   self					):







   """simple docstring"""
   lowerCamelCase_								=  self.remote_tool("Hey, what's up?"      ,  src_lang="English"      ,  tgt_lang="French"					)
   self.assertEqual(UpperCamelCase      ,  "- Hé, comment ça va?"					)






  def   snake_case		(   self					):







   """simple docstring"""
   lowerCamelCase_								=  self.tool(text="Hey, what's up?"      ,  src_lang="English"      ,  tgt_lang="French"					)
   self.assertEqual(UpperCamelCase      ,  "- Hé, comment ça va?"					)






  def   snake_case		(   self					):







   """simple docstring"""
   lowerCamelCase_								=  self.remote_tool(text="Hey, what's up?"      ,  src_lang="English"      ,  tgt_lang="French"					)
   self.assertEqual(UpperCamelCase      ,  "- Hé, comment ça va?"					)






  def   snake_case		(   self					):







   """simple docstring"""
   lowerCamelCase_								=  ["Hey, what's up?", "English", "Spanish"]
   lowerCamelCase_								=  self.tool(*UpperCamelCase					)

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

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






  def   snake_case		(   self					):







   """simple docstring"""
   lowerCamelCase_								=  ["Hey, what's up?", "English", "Spanish"]
   lowerCamelCase_								=  self.tool(*UpperCamelCase					)

   if not isinstance(UpperCamelCase      ,  UpperCamelCase					):
    lowerCamelCase_								=  [outputs]

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

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







  def   snake_case		(   self					):







   """simple docstring"""
   lowerCamelCase_								=  ["Hey, what's up?", "English", "Spanish"]

   lowerCamelCase_								=  []

   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
   lowerCamelCase_								=  self.tool(*UpperCamelCase					)

   if not isinstance(UpperCamelCase      ,  UpperCamelCase					):
    lowerCamelCase_								=  [outputs]

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







'''simple docstring'''

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


a_  :    Union[str, Any]      =			logging.get_logger(__name__)

a_  :    int      =			{
    """uw-madison/nystromformer-512""": """https://huggingface.co/uw-madison/nystromformer-512/resolve/main/config.json""",
    # See all Nystromformer models at https://huggingface.co/models?filter=nystromformer
}





class 					snake_case   (   lowercase      ):





  """simple docstring"""




  _lowerCamelCase		   =  "nystromformer"






  def __init__(   self      ,  UpperCamelCase=3_0000      ,  UpperCamelCase=768      ,  UpperCamelCase=12      ,  UpperCamelCase=12      ,  UpperCamelCase=3072      ,  UpperCamelCase="gelu_new"      ,  UpperCamelCase=0.1      ,  UpperCamelCase=0.1      ,  UpperCamelCase=510      ,  UpperCamelCase=2      ,  UpperCamelCase=64      ,  UpperCamelCase=64      ,  UpperCamelCase=65      ,  UpperCamelCase=False      ,  UpperCamelCase=0.02      ,  UpperCamelCase=1e-5      ,  UpperCamelCase=1      ,  UpperCamelCase=0      ,  UpperCamelCase=2      ,  **UpperCamelCase      ,  ):







   """simple docstring"""
   lowerCamelCase_								=  vocab_size
   lowerCamelCase_								=  max_position_embeddings
   lowerCamelCase_								=  hidden_size
   lowerCamelCase_								=  num_hidden_layers
   lowerCamelCase_								=  num_attention_heads
   lowerCamelCase_								=  intermediate_size
   lowerCamelCase_								=  hidden_act
   lowerCamelCase_								=  hidden_dropout_prob
   lowerCamelCase_								=  attention_probs_dropout_prob
   lowerCamelCase_								=  initializer_range
   lowerCamelCase_								=  type_vocab_size
   lowerCamelCase_								=  segment_means_seq_len
   lowerCamelCase_								=  num_landmarks
   lowerCamelCase_								=  conv_kernel_size
   lowerCamelCase_								=  inv_coeff_init_option
   lowerCamelCase_								=  layer_norm_eps
   super().__init__(pad_token_id=UpperCamelCase      ,  bos_token_id=UpperCamelCase      ,  eos_token_id=UpperCamelCase      ,  **UpperCamelCase					)



