
import unittest

from diffusers import __version__
from diffusers.utils import deprecate







class 	A__				(	unittest.TestCase      ):
				lowercase            =    '.'.join([str(int(__version__.split('.'      )[0]      ) + 1      )] + __version__.split('.'      )[1:]      )
				lowercase            =    '0.0.1'






				def 				_lowerCamelCase						(		self   : Dict  ):






							'''simple docstring'''







							lowerCAmelCase__ : Tuple   =						{'deprecated_arg': 4}

							with self.assertWarns(a  ) as warning:
										lowerCAmelCase__ : Optional[int]   =						deprecate('deprecated_arg'       ,	self.higher_version       ,	'message'       ,	take_from=a  )

							assert output == 4
							assert (
							    str(warning.warning  )
							    == f'''The `deprecated_arg` argument is deprecated and will be removed in version {self.higher_version}.'''
							    " message"
							)






				def 				_lowerCamelCase						(		self   : Tuple  ):






							'''simple docstring'''







							lowerCAmelCase__ : Dict   =						{'deprecated_arg': 4}

							with self.assertWarns(a  ) as warning:
										lowerCAmelCase__ : Optional[Any]   =						deprecate(('deprecated_arg', self.higher_version, 'message')       ,	take_from=a  )

							assert output == 4
							assert (
							    str(warning.warning  )
							    == f'''The `deprecated_arg` argument is deprecated and will be removed in version {self.higher_version}.'''
							    " message"
							)






				def 				_lowerCamelCase						(		self   : Tuple  ):






							'''simple docstring'''







							lowerCAmelCase__ : Any   =						{'deprecated_arg_1': 4, 'deprecated_arg_2': 8}
							with self.assertWarns(a  ) as warning:
										lowerCAmelCase__ ,							lowerCAmelCase__ : List[str]   =						deprecate(
										    ('deprecated_arg_1', self.higher_version, 'Hey')       ,	('deprecated_arg_2', self.higher_version, 'Hey')       ,	take_from=a       ,	)
							assert output_a == 4
							assert output_a == 8
							assert (
							    str(warning.warnings[0].message  )
							    == "The `deprecated_arg_1` argument is deprecated and will be removed in version"
							    f''' {self.higher_version}. Hey'''
							)
							assert (
							    str(warning.warnings[1].message  )
							    == "The `deprecated_arg_2` argument is deprecated and will be removed in version"
							    f''' {self.higher_version}. Hey'''
							)






				def 				_lowerCamelCase						(		self   : Union[str, Any]  ):






							'''simple docstring'''







							lowerCAmelCase__ : Optional[int]   =						{'deprecated_arg': 4}

							with self.assertRaises(a  ) as error:
										deprecate(('wrong_arg', self.higher_version, 'message')       ,	take_from=a  )

							assert "test_deprecate_function_incorrect_arg in" in str(error.exception  )
							assert "line" in str(error.exception  )
							assert "got an unexpected keyword argument `deprecated_arg`" in str(error.exception  )






				def 				_lowerCamelCase						(		self   : int  ):






							'''simple docstring'''







							with self.assertWarns(a  ) as warning:
										deprecate(('deprecated_arg', self.higher_version, 'message')  )

							assert (
							    str(warning.warning  )
							    == f'''`deprecated_arg` is deprecated and will be removed in version {self.higher_version}. message'''
							)






				def 				_lowerCamelCase						(		self   : int  ):






							'''simple docstring'''







							with self.assertWarns(a  ) as warning:
										deprecate(
										    ('deprecated_arg_1', self.higher_version, 'Hey')       ,	('deprecated_arg_2', self.higher_version, 'Hey')       ,	)
							assert (
							    str(warning.warnings[0].message  )
							    == f'''`deprecated_arg_1` is deprecated and will be removed in version {self.higher_version}. Hey'''
							)
							assert (
							    str(warning.warnings[1].message  )
							    == f'''`deprecated_arg_2` is deprecated and will be removed in version {self.higher_version}. Hey'''
							)






				def 				_lowerCamelCase						(		self   : Optional[Any]  ):






							'''simple docstring'''







							class 	A__				:
											lowercase            =    5

							with self.assertWarns(a  ) as warning:
										lowerCAmelCase__ : List[str]   =						deprecate(('arg', self.higher_version, 'message')       ,	take_from=Args()  )

							assert arg == 5
							assert (
							    str(warning.warning  )
							    == f'''The `arg` attribute is deprecated and will be removed in version {self.higher_version}. message'''
							)






				def 				_lowerCamelCase						(		self   : str  ):






							'''simple docstring'''







							class 	A__				:
											lowercase            =    5
											lowercase            =    7

							with self.assertWarns(a  ) as warning:
										lowerCAmelCase__ ,							lowerCAmelCase__ : List[str]   =						deprecate(
										    ('arg', self.higher_version, 'message')       ,	('foo', self.higher_version, 'message')       ,	('does not exist', self.higher_version, 'message')       ,	take_from=Args()       ,	)

							assert arg_a == 5
							assert arg_a == 7
							assert (
							    str(warning.warning  )
							    == f'''The `arg` attribute is deprecated and will be removed in version {self.higher_version}. message'''
							)
							assert (
							    str(warning.warnings[0].message  )
							    == f'''The `arg` attribute is deprecated and will be removed in version {self.higher_version}. message'''
							)
							assert (
							    str(warning.warnings[1].message  )
							    == f'''The `foo` attribute is deprecated and will be removed in version {self.higher_version}. message'''
							)






				def 				_lowerCamelCase						(		self   : Union[str, Any]  ):






							'''simple docstring'''







							lowerCAmelCase__ : List[str]   =						{'deprecated_arg': 4}

							with self.assertRaises(a  ) as error:
										deprecate(('wrong_arg', self.lower_version, 'message')       ,	take_from=a  )

							assert (
							    str(error.exception  )
							    == "The deprecation tuple ('wrong_arg', '0.0.1', 'message') should be removed since diffusers' version"
							    f''' {__version__} is >= {self.lower_version}'''
							)






				def 				_lowerCamelCase						(		self   : Dict  ):






							'''simple docstring'''







							with self.assertWarns(a  ) as warning:
										deprecate(('deprecated_arg', self.higher_version, 'This message is better!!!')       ,	standard_warn=a  )

							assert str(warning.warning  ) == "This message is better!!!"






				def 				_lowerCamelCase						(		self   : int  ):






							'''simple docstring'''







							with self.assertWarns(a  ) as warning:
										deprecate(('deprecated_arg', self.higher_version, 'This message is better!!!')       ,	standard_warn=a  )
							assert str(warning.warning  ) == "This message is better!!!"
							assert "diffusers/tests/others/test_utils.py" in warning.filename

import argparse

import torch

from transformers import ImageGPTConfig, ImageGPTForCausalLM, load_tf_weights_in_imagegpt
from transformers.utils import CONFIG_NAME, WEIGHTS_NAME, logging


logging.set_verbosity_info()
def 					lowerCAmelCase__     (    SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_	)							->						List[str]:
			# Construct configuration depending on size
			lowerCAmelCase__ : Tuple   =						{'small': (512, 8, 24), 'medium': (1_024, 8, 36), 'large': (1_536, 16, 48)}
			lowerCAmelCase__ ,							lowerCAmelCase__ ,							lowerCAmelCase__ : Optional[int]   =						MODELS[model_size]  # set model hyperparameters
			lowerCAmelCase__ : Optional[int]   =						ImageGPTConfig(n_embd=SCREAMING_SNAKE_CASE_			,				n_layer=SCREAMING_SNAKE_CASE_			,				n_head=SCREAMING_SNAKE_CASE_	)
			lowerCAmelCase__ : List[Any]   =						ImageGPTForCausalLM(SCREAMING_SNAKE_CASE_	)

			# Load weights from numpy
			load_tf_weights_in_imagegpt(SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_			,				SCREAMING_SNAKE_CASE_	)

			# Save pytorch-model
			lowerCAmelCase__ : Optional[int]   =						pytorch_dump_folder_path + '/' + WEIGHTS_NAME
			lowerCAmelCase__ : Optional[int]   =						pytorch_dump_folder_path + '/' + CONFIG_NAME
			print(F'''Save PyTorch model to {pytorch_weights_dump_path}'''	)
			torch.save(model.state_dict()			,				SCREAMING_SNAKE_CASE_	)
			print(F'''Save configuration file to {pytorch_config_dump_path}'''	)
			with open(SCREAMING_SNAKE_CASE_			,				'w'			,				encoding='utf-8'	) as f:
						f.write(config.to_json_string()	)


if __name__ == "__main__":
					lowerCamelCase__        =						argparse.ArgumentParser()
					# Required parameters
					parser.add_argument(
					    """--imagegpt_checkpoint_path""",
					    default=None,
					    type=str,
					    required=True,
					    help="""Path to the TensorFlow checkpoint path.""",
					)
					parser.add_argument(
					    """--model_size""",
					    default=None,
					    type=str,
					    required=True,
					    help="""Size of the model (can be either 'small', 'medium' or 'large').""",
					)
					parser.add_argument(
					    """--pytorch_dump_folder_path""", default=None, type=str, required=True, help="""Path to the output PyTorch model."""
					)
					lowerCamelCase__        =						parser.parse_args()
					convert_imagegpt_checkpoint_to_pytorch(
					    args.imagegpt_checkpoint_path, args.model_size, args.pytorch_dump_folder_path
					)