


'''simple docstring'''






import os
import tempfile
import unittest
import uuid
from pathlib import Path

from transformers.testing_utils import get_tests_dir, require_soundfile, require_torch, require_vision
from transformers.tools.agent_types import AgentAudio, AgentImage, AgentText
from transformers.utils import is_soundfile_availble, is_torch_available, is_vision_available


if is_torch_available():
  import torch

if is_soundfile_availble():
  import soundfile as sf

if is_vision_available():
  from PIL import Image







def 							UpperCamelCase_     (       A__   :  List[Any]=""   ):
  '''simple docstring'''





  lowerCAmelCase_     : Union[str, Any]     =  tempfile.mkdtemp()
  return os.path.join(A__				,       str(uuid.uuida()   ) + suffix   )






@require_soundfile
@require_torch
class   __snake_case			(  unittest.TestCase):







    """simple docstring"""



    def __lowercase  (  self       :    List[Any]						)  ->    Union[str, Any]:
      lowerCAmelCase_     : Union[str, Any]     =  torch.rand(12       ,		dtype=torch.floataa						) - 0.5
      lowerCAmelCase_     : int     =  AgentAudio(lowerCamelCase						)
      lowerCAmelCase_     : int     =  str(agent_type.to_string()						)

      # Ensure that the tensor and the agent_type's tensor are the same
      self.assertTrue(torch.allclose(lowerCamelCase       ,		agent_type.to_raw()       ,		atol=1E-4						)						)

      del agent_type

      # Ensure the path remains even after the object deletion
      self.assertTrue(os.path.exists(lowerCamelCase						)						)

      # Ensure that the file contains the same value as the original tensor
      lowerCAmelCase_,				lowerCAmelCase_     : Union[str, Any]     =  sf.read(lowerCamelCase						)
      self.assertTrue(torch.allclose(lowerCamelCase       ,		torch.tensor(lowerCamelCase						)       ,		atol=1E-4						)						)





    def __lowercase  (  self       :    List[Any]						)  ->    Union[str, Any]:
      lowerCAmelCase_     : Union[str, Any]     =  torch.rand(12       ,		dtype=torch.floataa						) - 0.5
      lowerCAmelCase_     : List[str]     =  get_new_path(suffix=""".wav"""						)
      sf.write(lowerCamelCase       ,		lowerCamelCase       ,		1_60_00						)

      lowerCAmelCase_     : str     =  AgentAudio(lowerCamelCase						)

      self.assertTrue(torch.allclose(lowerCamelCase       ,		agent_type.to_raw()       ,		atol=1E-4						)						)
      self.assertEqual(agent_type.to_string()       ,		lowerCamelCase						)







@require_vision
@require_torch
class   __snake_case			(  unittest.TestCase):







    """simple docstring"""



    def __lowercase  (  self       :    Optional[int]						)  ->    str:
      lowerCAmelCase_     : str     =  torch.randint(0       ,		2_56       ,		(64, 64, 3)						)
      lowerCAmelCase_     : List[str]     =  AgentImage(lowerCamelCase						)
      lowerCAmelCase_     : List[str]     =  str(agent_type.to_string()						)

      # Ensure that the tensor and the agent_type's tensor are the same
      self.assertTrue(torch.allclose(lowerCamelCase       ,		agent_type._tensor       ,		atol=1E-4						)						)

      self.assertIsInstance(agent_type.to_raw()       ,		Image.Image						)

      # Ensure the path remains even after the object deletion
      del agent_type
      self.assertTrue(os.path.exists(lowerCamelCase						)						)

    def __lowercase  (  self       :    int						)  ->    str:
      lowerCAmelCase_     : Dict     =  Path(get_tests_dir("""fixtures/tests_samples/COCO"""						)						) / """000000039769.png"""
      lowerCAmelCase_     : Tuple     =  Image.open(lowerCamelCase						)
      lowerCAmelCase_     : Optional[Any]     =  AgentImage(lowerCamelCase						)

      self.assertTrue(path.samefile(agent_type.to_string()						)						)
      self.assertTrue(image == agent_type.to_raw()						)

      # Ensure the path remains even after the object deletion
      del agent_type
      self.assertTrue(os.path.exists(lowerCamelCase						)						)





    def __lowercase  (  self       :    List[Any]						)  ->    Union[str, Any]:
      lowerCAmelCase_     : Union[str, Any]     =  Path(get_tests_dir("""fixtures/tests_samples/COCO"""						)						) / """000000039769.png"""
      lowerCAmelCase_     : Optional[Any]     =  Image.open(lowerCamelCase						)
      lowerCAmelCase_     : Tuple     =  AgentImage(lowerCamelCase						)

      self.assertFalse(path.samefile(agent_type.to_string()						)						)
      self.assertTrue(image == agent_type.to_raw()						)

      # Ensure the path remains even after the object deletion
      del agent_type
      self.assertTrue(os.path.exists(lowerCamelCase						)						)







class   __snake_case			(  unittest.TestCase):







    """simple docstring"""



    def __lowercase  (  self       :    Dict						)  ->    int:
      lowerCAmelCase_     : List[str]     =  """Hey!"""
      lowerCAmelCase_     : Optional[int]     =  AgentText(lowerCamelCase						)

      self.assertEqual(lowerCamelCase       ,		agent_type.to_string()						)
      self.assertEqual(lowerCamelCase       ,		agent_type.to_raw()						)
      self.assertEqual(lowerCamelCase       ,		lowerCamelCase						)







'''simple docstring'''






from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__A   :    List[Any]											= logging.get_logger(__name__)

__A   :    List[Any]											= {
    "andreasmadsen/efficient_mlm_m0.40": (
        "https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json"
    ),
}






class   __snake_case			(  _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    lowercase  					=   'roberta-prelayernorm'

    def __init__(  self       :    Tuple       ,		lowerCamelCase       :    Tuple=5_02_65       ,		lowerCamelCase       :    Optional[int]=7_68       ,		lowerCamelCase       :    Optional[int]=12       ,		lowerCamelCase       :    Optional[int]=12       ,		lowerCamelCase       :    int=30_72       ,		lowerCamelCase       :    Optional[int]="gelu"       ,		lowerCamelCase       :    List[str]=0.1       ,		lowerCamelCase       :    Tuple=0.1       ,		lowerCamelCase       :    Optional[int]=5_12       ,		lowerCamelCase       :    Union[str, Any]=2       ,		lowerCamelCase       :    int=0.02       ,		lowerCamelCase       :    Any=1E-12       ,		lowerCamelCase       :    int=1       ,		lowerCamelCase       :    List[Any]=0       ,		lowerCamelCase       :    List[Any]=2       ,		lowerCamelCase       :    Optional[Any]="absolute"       ,		lowerCamelCase       :    List[Any]=True       ,		lowerCamelCase       :    Tuple=None       ,		**lowerCamelCase       :    int       ,		)  ->    Optional[Any]:
      super().__init__(pad_token_id=lowerCamelCase       ,		bos_token_id=lowerCamelCase       ,		eos_token_id=lowerCamelCase       ,		**lowerCamelCase						)

      lowerCAmelCase_     : Dict     =  vocab_size
      lowerCAmelCase_     : str     =  hidden_size
      lowerCAmelCase_     : Dict     =  num_hidden_layers
      lowerCAmelCase_     : List[Any]     =  num_attention_heads
      lowerCAmelCase_     : List[str]     =  hidden_act
      lowerCAmelCase_     : Optional[Any]     =  intermediate_size
      lowerCAmelCase_     : List[str]     =  hidden_dropout_prob
      lowerCAmelCase_     : Tuple     =  attention_probs_dropout_prob
      lowerCAmelCase_     : Optional[int]     =  max_position_embeddings
      lowerCAmelCase_     : List[Any]     =  type_vocab_size
      lowerCAmelCase_     : List[Any]     =  initializer_range
      lowerCAmelCase_     : Union[str, Any]     =  layer_norm_eps
      lowerCAmelCase_     : List[str]     =  position_embedding_type
      lowerCAmelCase_     : Tuple     =  use_cache
      lowerCAmelCase_     : Union[str, Any]     =  classifier_dropout







class   __snake_case			(  _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    @property
    def __lowercase  (  self       :    List[Any]						)  ->    Mapping[str, Mapping[int, str]]:
      if self.task == "multiple-choice":
        lowerCAmelCase_     : Dict     =  {0: """batch""", 1: """choice""", 2: """sequence"""}
      else:
        lowerCAmelCase_     : Optional[int]     =  {0: """batch""", 1: """sequence"""}
      return OrderedDict(
          [
              ("""input_ids""", dynamic_axis),
              ("""attention_mask""", dynamic_axis),
          ]						)



