
'''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  snake_case_		(    __SCREAMING_SNAKE_CASE :			Optional[int]=""							):



						"""simple docstring"""





						lowercase_     :					List[str]													=	tempfile.mkdtemp()
						return os.path.join(__SCREAMING_SNAKE_CASE				,				str(uuid.uuida()							) + suffix							)






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






					def      _snake_case   (       self		):


											"""simple docstring"""





											lowercase_     :					List[Any]													=	torch.rand(12    ,							dtype=torch.floataa		) - 0.5
											lowercase_     :					Union[str, Any]													=	AgentAudio(__SCREAMING_SNAKE_CASE		)
											lowercase_     :					Optional[Any]													=	str(agent_type.to_string()		)

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

											del agent_type

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

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






					def      _snake_case   (       self		):


											"""simple docstring"""





											lowercase_     :					Optional[int]													=	torch.rand(12    ,							dtype=torch.floataa		) - 0.5
											lowercase_     :					str													=	get_new_path(suffix='''.wav'''		)
											sf.write(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE    ,							1_60_00		)

											lowercase_     :					Optional[Any]													=	AgentAudio(__SCREAMING_SNAKE_CASE		)

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







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






					def      _snake_case   (       self		):


											"""simple docstring"""





											lowercase_     :					Tuple													=	torch.randint(0    ,							2_56    ,							(64, 64, 3)		)
											lowercase_     :					Optional[Any]													=	AgentImage(__SCREAMING_SNAKE_CASE		)
											lowercase_     :					Optional[int]													=	str(agent_type.to_string()		)

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






					def      _snake_case   (       self		):


											"""simple docstring"""





											lowercase_     :					str													=	Path(get_tests_dir('''fixtures/tests_samples/COCO'''		)		) / '''000000039769.png'''
											lowercase_     :					Optional[Any]													=	Image.open(__SCREAMING_SNAKE_CASE		)
											lowercase_     :					Any													=	AgentImage(__SCREAMING_SNAKE_CASE		)

											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(__SCREAMING_SNAKE_CASE		)		)






					def      _snake_case   (       self		):


											"""simple docstring"""





											lowercase_     :					Any													=	Path(get_tests_dir('''fixtures/tests_samples/COCO'''		)		) / '''000000039769.png'''
											lowercase_     :					Union[str, Any]													=	Image.open(__SCREAMING_SNAKE_CASE		)
											lowercase_     :					Dict													=	AgentImage(__SCREAMING_SNAKE_CASE		)

											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(__SCREAMING_SNAKE_CASE		)		)







class 			lowerCAmelCase__       (  unittest.TestCase					):






					def      _snake_case   (       self		):


											"""simple docstring"""





											lowercase_     :					Optional[int]													=	'''Hey!'''
											lowercase_     :					Dict													=	AgentText(__SCREAMING_SNAKE_CASE		)

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





'''simple docstring'''







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


_lowercase			:  Any   							=	logging.get_logger(__name__)

_lowercase			:  Dict   							=	{
    "EleutherAI/gpt-neox-20b": "https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/config.json",
    # See all GPTNeoX models at https://huggingface.co/models?filter=gpt_neox
}






class 			lowerCAmelCase__       (  lowerCamelCase_					):
					lowerCAmelCase_					       =					'''gpt_neox'''






					def __init__(       self    ,							__SCREAMING_SNAKE_CASE=5_04_32    ,							__SCREAMING_SNAKE_CASE=61_44    ,							__SCREAMING_SNAKE_CASE=44    ,							__SCREAMING_SNAKE_CASE=64    ,							__SCREAMING_SNAKE_CASE=2_45_76    ,							__SCREAMING_SNAKE_CASE="gelu"    ,							__SCREAMING_SNAKE_CASE=0.25    ,							__SCREAMING_SNAKE_CASE=1_00_00    ,							__SCREAMING_SNAKE_CASE=0.0    ,							__SCREAMING_SNAKE_CASE=0.0    ,							__SCREAMING_SNAKE_CASE=0.1    ,							__SCREAMING_SNAKE_CASE=20_48    ,							__SCREAMING_SNAKE_CASE=0.02    ,							__SCREAMING_SNAKE_CASE=1E-5    ,							__SCREAMING_SNAKE_CASE=True    ,							__SCREAMING_SNAKE_CASE=0    ,							__SCREAMING_SNAKE_CASE=2    ,							__SCREAMING_SNAKE_CASE=False    ,							__SCREAMING_SNAKE_CASE=True    ,							__SCREAMING_SNAKE_CASE=None    ,							**__SCREAMING_SNAKE_CASE    ,							):


											"""simple docstring"""





											super().__init__(bos_token_id=__SCREAMING_SNAKE_CASE    ,							eos_token_id=__SCREAMING_SNAKE_CASE    ,							**__SCREAMING_SNAKE_CASE		)
											lowercase_     :					Optional[Any]													=	vocab_size
											lowercase_     :					Optional[Any]													=	max_position_embeddings
											lowercase_     :					Optional[int]													=	hidden_size
											lowercase_     :					Tuple													=	num_hidden_layers
											lowercase_     :					Any													=	num_attention_heads
											lowercase_     :					str													=	intermediate_size
											lowercase_     :					Any													=	hidden_act
											lowercase_     :					Tuple													=	rotary_pct
											lowercase_     :					Optional[Any]													=	rotary_emb_base
											lowercase_     :					Any													=	attention_dropout
											lowercase_     :					str													=	hidden_dropout
											lowercase_     :					Dict													=	classifier_dropout
											lowercase_     :					Tuple													=	initializer_range
											lowercase_     :					List[str]													=	layer_norm_eps
											lowercase_     :					Union[str, Any]													=	use_cache
											lowercase_     :					int													=	tie_word_embeddings
											lowercase_     :					Tuple													=	use_parallel_residual
											lowercase_     :					Optional[Any]													=	rope_scaling
											self._rope_scaling_validation()

											if self.hidden_size % self.num_attention_heads != 0:
																	raise ValueError(
																	    '''The hidden size is not divisble by the number of attention heads! Make sure to update them!'''		)






					def      _snake_case   (       self		):


											"""simple docstring"""





											if self.rope_scaling is None:
																	return

											if not isinstance(self.rope_scaling    ,							__SCREAMING_SNAKE_CASE		) or len(self.rope_scaling		) != 2:
																	raise ValueError(
																	    '''`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, '''
																	    F'''got {self.rope_scaling}'''		)
											lowercase_     :					List[Any]													=	self.rope_scaling.get('''type'''    ,							__SCREAMING_SNAKE_CASE		)
											lowercase_     :					int													=	self.rope_scaling.get('''factor'''    ,							__SCREAMING_SNAKE_CASE		)
											if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
																	raise ValueError(
																	    F'''`rope_scaling`\'s name field must be one of [\'linear\', \'dynamic\'], got {rope_scaling_type}'''		)
											if rope_scaling_factor is None or not isinstance(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		) or rope_scaling_factor <= 1.0:
																	raise ValueError(F'''`rope_scaling`\'s factor field must be an float > 1, got {rope_scaling_factor}'''		)



