

"""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   __SCREAMING_SNAKE_CASE  (      A_="" ):
	lowerCAmelCase__	:						Dict  				=	tempfile.mkdtemp()
	return os.path.join(A_						,     str(uuid.uuida() ) + suffix )







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






					"""simple docstring"""



					def        __lowerCAmelCase (       self			:				Optional[int]		):
						lowerCAmelCase__	:						Dict  				=	torch.rand(1_2   ,dtype=torch.floataa		) - 0.5
						lowerCAmelCase__	:						Optional[Any]  				=	AgentAudio(lowercase_		)
						lowerCAmelCase__	:						Optional[int]  				=	str(agent_type.to_string()		)

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

						del agent_type

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

						# Ensure that the file contains the same value as the original tensor
						lowerCAmelCase__				,lowerCAmelCase__	:						Tuple  				=	sf.read(lowercase_		)
						self.assertTrue(torch.allclose(lowercase_   ,torch.tensor(lowercase_		)   ,atol=1E-4		)		)







					def        __lowerCAmelCase (       self			:				List[str]		):
						lowerCAmelCase__	:						Optional[Any]  				=	torch.rand(1_2   ,dtype=torch.floataa		) - 0.5
						lowerCAmelCase__	:						Tuple  				=	get_new_path(suffix='''.wav'''		)
						sf.write(lowercase_   ,lowercase_   ,1_6_0_0_0		)

						lowerCAmelCase__	:						int  				=	AgentAudio(lowercase_		)

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







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






					"""simple docstring"""



					def        __lowerCAmelCase (       self			:				Optional[int]		):
						lowerCAmelCase__	:						int  				=	torch.randint(0   ,2_5_6   ,(6_4, 6_4, 3)		)
						lowerCAmelCase__	:						List[str]  				=	AgentImage(lowercase_		)
						lowerCAmelCase__	:						Optional[int]  				=	str(agent_type.to_string()		)

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







					def        __lowerCAmelCase (       self			:				Any		):
						lowerCAmelCase__	:						List[Any]  				=	Path(get_tests_dir('''fixtures/tests_samples/COCO'''		)		) / '''000000039769.png'''
						lowerCAmelCase__	:						Optional[int]  				=	Image.open(lowercase_		)
						lowerCAmelCase__	:						Optional[int]  				=	AgentImage(lowercase_		)

						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(lowercase_		)		)







					def        __lowerCAmelCase (       self			:				Any		):
						lowerCAmelCase__	:						List[str]  				=	Path(get_tests_dir('''fixtures/tests_samples/COCO'''		)		) / '''000000039769.png'''
						lowerCAmelCase__	:						List[Any]  				=	Image.open(lowercase_		)
						lowerCAmelCase__	:						List[Any]  				=	AgentImage(lowercase_		)

						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(lowercase_		)		)







class 				SCREAMING_SNAKE_CASE					(		unittest.TestCase       ):






					"""simple docstring"""



					def        __lowerCAmelCase (       self			:				int		):
						lowerCAmelCase__	:						Union[str, Any]  				=	'''Hey!'''
						lowerCAmelCase__	:						List[Any]  				=	AgentText(lowercase_		)

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








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


A      :    str		=					logging.get_logger(__name__)

A      :    int		=					{
    "alibaba-damo/mgp-str-base": "https://huggingface.co/alibaba-damo/mgp-str-base/resolve/main/config.json",
}







class 			_lowercase (							lowercase__):


       """simple docstring"""




       A__											=			"mgp-str"





       def __init__(   self							:			List[str]					,      __lowerCamelCase							:			List[Any]=[32, 128]					,      __lowerCamelCase							:			Optional[int]=4					,      __lowerCamelCase							:			str=3					,      __lowerCamelCase							:			Optional[Any]=27					,      __lowerCamelCase							:			List[str]=38					,      __lowerCamelCase							:			Dict=50257					,      __lowerCamelCase							:			List[Any]=30522					,      __lowerCamelCase							:			Optional[Any]=768					,      __lowerCamelCase							:			str=12					,      __lowerCamelCase							:			Optional[int]=12					,      __lowerCamelCase							:			List[str]=4.0					,      __lowerCamelCase							:			Union[str, Any]=True					,      __lowerCamelCase							:			Any=False					,      __lowerCamelCase							:			Dict=1E-5					,      __lowerCamelCase							:			int=0.0					,      __lowerCamelCase							:			Optional[int]=0.0					,      __lowerCamelCase							:			List[Any]=0.0					,      __lowerCamelCase							:			Union[str, Any]=False					,      __lowerCamelCase							:			str=0.0_2					,      **__lowerCamelCase							:			Dict					,      ):


             '''simple docstring'''



             super().__init__(**__lowerCamelCase       )

             lowerCamelCase__		:				int    =  image_size
             lowerCamelCase__		:				Union[str, Any]    =  patch_size
             lowerCamelCase__		:				Dict    =  num_channels
             lowerCamelCase__		:				Union[str, Any]    =  max_token_length
             lowerCamelCase__		:				Optional[int]    =  num_character_labels
             lowerCamelCase__		:				Union[str, Any]    =  num_bpe_labels
             lowerCamelCase__		:				Optional[int]    =  num_wordpiece_labels
             lowerCamelCase__		:				List[str]    =  hidden_size
             lowerCamelCase__		:				Dict    =  num_hidden_layers
             lowerCamelCase__		:				Any    =  num_attention_heads
             lowerCamelCase__		:				Any    =  mlp_ratio
             lowerCamelCase__		:				List[Any]    =  distilled
             lowerCamelCase__		:				Optional[Any]    =  layer_norm_eps
             lowerCamelCase__		:				Union[str, Any]    =  drop_rate
             lowerCamelCase__		:				List[Any]    =  qkv_bias
             lowerCamelCase__		:				int    =  attn_drop_rate
             lowerCamelCase__		:				List[Any]    =  drop_path_rate
             lowerCamelCase__		:				List[str]    =  output_aa_attentions
             lowerCamelCase__		:				Dict    =  initializer_range


