





'''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 					_a						(       _lowerCamelCase="" ) ->				str:



			"""simple docstring"""


			__snake_case					:      Optional[Any]							      =     tempfile.mkdtemp()
			return os.path.join(_lowerCamelCase    ,	str(uuid.uuida() ) + suffix )




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

		def 	lowercase__     (   self					:   Optional[Any]			)					->    Optional[int]:


					"""simple docstring"""

					__snake_case					:      Optional[int]							      =     torch.rand(12  ,      dtype=torch.floataa			) - 0.5
					__snake_case					:      Tuple							      =     AgentAudio(__magic_name__			)
					__snake_case					:      List[str]							      =     str(agent_type.to_string()			)

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

					del agent_type

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

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

		def 	lowercase__     (   self					:   Tuple			)					->    int:


					"""simple docstring"""

					__snake_case					:      Optional[int]							      =     torch.rand(12  ,      dtype=torch.floataa			) - 0.5
					__snake_case					:      Tuple							      =     get_new_path(suffix=""".wav"""			)
					sf.write(__magic_name__  ,      __magic_name__  ,      1_60_00			)

					__snake_case					:      int							      =     AgentAudio(__magic_name__			)

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





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

		def 	lowercase__     (   self					:   Tuple			)					->    Tuple:


					"""simple docstring"""

					__snake_case					:      int							      =     torch.randint(0  ,      2_56  ,      (64, 64, 3)			)
					__snake_case					:      List[str]							      =     AgentImage(__magic_name__			)
					__snake_case					:      List[str]							      =     str(agent_type.to_string()			)

					# Ensure that the tensor and the agent_type's tensor are the same
					self.assertTrue(torch.allclose(__magic_name__  ,      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(__magic_name__			)			)

		def 	lowercase__     (   self					:   Union[str, Any]			)					->    Optional[Any]:


					"""simple docstring"""

					__snake_case					:      Optional[Any]							      =     Path(get_tests_dir("""fixtures/tests_samples/COCO"""			)			) / """000000039769.png"""
					__snake_case					:      Tuple							      =     Image.open(__magic_name__			)
					__snake_case					:      Optional[int]							      =     AgentImage(__magic_name__			)

					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(__magic_name__			)			)

		def 	lowercase__     (   self					:   Optional[int]			)					->    List[Any]:


					"""simple docstring"""

					__snake_case					:      Optional[Any]							      =     Path(get_tests_dir("""fixtures/tests_samples/COCO"""			)			) / """000000039769.png"""
					__snake_case					:      List[str]							      =     Image.open(__magic_name__			)
					__snake_case					:      Union[str, Any]							      =     AgentImage(__magic_name__			)

					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(__magic_name__			)			)





class  _A (					unittest.TestCase		):

		def 	lowercase__     (   self					:   Optional[Any]			)					->    int:


					"""simple docstring"""

					__snake_case					:      List[str]							      =     """Hey!"""
					__snake_case					:      Optional[Any]							      =     AgentText(__magic_name__			)

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








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


__A								=       logging.get_logger(__name__)

__A								=       {
    "facebook/vit-mae-base": "https://huggingface.co/facebook/vit-mae-base/resolve/main/config.json",
    # See all ViT MAE models at https://huggingface.co/models?filter=vit-mae
}







class        __lowerCAmelCase					(			__magic_name__					):

			"""simple docstring"""







			snake_case_  						=			'''vit_mae'''


			def __init__( self     ,		lowerCamelCase__=768     ,		lowerCamelCase__=12     ,		lowerCamelCase__=12     ,		lowerCamelCase__=3_072     ,		lowerCamelCase__="gelu"     ,		lowerCamelCase__=0.0     ,		lowerCamelCase__=0.0     ,		lowerCamelCase__=0.02     ,		lowerCamelCase__=1e-12     ,		lowerCamelCase__=224     ,		lowerCamelCase__=16     ,		lowerCamelCase__=3     ,		lowerCamelCase__=True     ,		lowerCamelCase__=16     ,		lowerCamelCase__=512     ,		lowerCamelCase__=8     ,		lowerCamelCase__=2_048     ,		lowerCamelCase__=0.75     ,		lowerCamelCase__=False     ,		**lowerCamelCase__     ,		)       -> Optional[int]:



							'''simple docstring'''
							super().__init__(**lowerCamelCase__				)

							__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									=       layer_norm_eps
							__lowerCamelCase									=       image_size
							__lowerCamelCase									=       patch_size
							__lowerCamelCase									=       num_channels
							__lowerCamelCase									=       qkv_bias
							__lowerCamelCase									=       decoder_num_attention_heads
							__lowerCamelCase									=       decoder_hidden_size
							__lowerCamelCase									=       decoder_num_hidden_layers
							__lowerCamelCase									=       decoder_intermediate_size
							__lowerCamelCase									=       mask_ratio
							__lowerCamelCase									=       norm_pix_loss


