


'''simple docstring'''






import warnings

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


__UpperCAmelCase       							=				logging.get_logger(__name__)

__UpperCAmelCase       							=				{
    '''RUCAIBox/mvp''': '''https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json''',
}




class 						a__							(				a__    ):





							'''simple docstring'''






							lowercase__     :  Union[str, Any]      		= "mvp"
							lowercase__     :  Union[str, Any]      		= ["past_key_values"]
							lowercase__     :  Optional[Any]      		= {"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"}







							def __init__(						self   ,       lowerCamelCase_=5_02_67   ,       lowerCamelCase_=10_24   ,       lowerCamelCase_=12   ,       lowerCamelCase_=40_96   ,       lowerCamelCase_=16   ,       lowerCamelCase_=12   ,       lowerCamelCase_=40_96   ,       lowerCamelCase_=16   ,       lowerCamelCase_=0.0   ,       lowerCamelCase_=0.0   ,       lowerCamelCase_="gelu"   ,       lowerCamelCase_=10_24   ,       lowerCamelCase_=0.1   ,       lowerCamelCase_=0.0   ,       lowerCamelCase_=0.0   ,       lowerCamelCase_=0.02   ,       lowerCamelCase_=0.0   ,       lowerCamelCase_=False   ,       lowerCamelCase_=True   ,       lowerCamelCase_=1   ,       lowerCamelCase_=0   ,       lowerCamelCase_=2   ,       lowerCamelCase_=True   ,       lowerCamelCase_=2   ,       lowerCamelCase_=2   ,       lowerCamelCase_=False   ,       lowerCamelCase_=1_00   ,       lowerCamelCase_=8_00   ,       **lowerCamelCase_   ,       )			->				Dict:
														lowerCAmelCase__			  =      vocab_size
														lowerCAmelCase__			  =      max_position_embeddings
														lowerCAmelCase__			  =      d_model
														lowerCAmelCase__			  =      encoder_ffn_dim
														lowerCAmelCase__			  =      encoder_layers
														lowerCAmelCase__			  =      encoder_attention_heads
														lowerCAmelCase__			  =      decoder_ffn_dim
														lowerCAmelCase__			  =      decoder_layers
														lowerCAmelCase__			  =      decoder_attention_heads
														lowerCAmelCase__			  =      dropout
														lowerCAmelCase__			  =      attention_dropout
														lowerCAmelCase__			  =      activation_dropout
														lowerCAmelCase__			  =      activation_function
														lowerCAmelCase__			  =      init_std
														lowerCAmelCase__			  =      encoder_layerdrop
														lowerCAmelCase__			  =      decoder_layerdrop
														lowerCAmelCase__			  =      classifier_dropout
														lowerCAmelCase__			  =      use_cache
														lowerCAmelCase__			  =      encoder_layers
														lowerCAmelCase__			  =      scale_embedding  # scale factor will be sqrt(d_model) if True
														lowerCAmelCase__			  =      use_prompt
														lowerCAmelCase__			  =      prompt_length
														lowerCAmelCase__			  =      prompt_mid_dim

														super().__init__(
														    pad_token_id=lowerCamelCase_   ,       bos_token_id=lowerCamelCase_   ,       eos_token_id=lowerCamelCase_   ,       is_encoder_decoder=lowerCamelCase_   ,       decoder_start_token_id=lowerCamelCase_   ,       forced_eos_token_id=lowerCamelCase_   ,       **lowerCamelCase_   ,       )

														if self.forced_bos_token_id is None and kwargs.get('''force_bos_token_to_be_generated'''   ,       lowerCamelCase_  ):
																					lowerCAmelCase__			  =      self.bos_token_id
																					warnings.warn(
																					    F"""Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. """
																					    '''The config can simply be saved and uploaded again to be fixed.'''  )
'''simple docstring'''


import importlib
import os
import sys


# This is required to make the module import works (when the python process is running from the root of the repo)
sys.path.append(".")





def    lowerCAmelCase       (		UpperCamelCase__					: Dict							):


	"""simple docstring"""
	__UpperCAmelCase      					=      test_file.split(os.path.sep							)
	if components[0:2] != ["tests", "models"]:
		raise ValueError(
		    '''`test_file` should start with `tests/models/` (with `/` being the OS specific path separator). Got '''
		    f"""{test_file} instead."""							)
	__UpperCAmelCase      					=      components[-1]
	if not test_fn.endswith('''py'''							):
		raise ValueError(f"""`test_file` should be a python file. Got {test_fn} instead."""							)
	if not test_fn.startswith('''test_modeling_'''							):
		raise ValueError(
		    f"""`test_file` should point to a file name of the form `test_modeling_*.py`. Got {test_fn} instead."""							)

	__UpperCAmelCase      					=      components[:-1] + [test_fn.replace('''.py'''     ,       ''''''							)]
	__UpperCAmelCase      					=      '''.'''.join(UpperCamelCase__							)

	return test_module_path





def    lowerCAmelCase       (		UpperCamelCase__					: int							):


	"""simple docstring"""
	__UpperCAmelCase      					=      get_module_path(UpperCamelCase__							)
	__UpperCAmelCase      					=      importlib.import_module(UpperCamelCase__							)

	return test_module





def    lowerCAmelCase       (		UpperCamelCase__					: Tuple							):


	"""simple docstring"""
	__UpperCAmelCase      					=      []
	__UpperCAmelCase      					=      get_test_module(UpperCamelCase__							)
	for attr in dir(UpperCamelCase__							):
		if attr.endswith('''ModelTester'''							):
			tester_classes.append(getattr(UpperCamelCase__     ,       UpperCamelCase__							)							)

    # sort with class names
	return sorted(UpperCamelCase__     ,       key=lambda UpperCamelCase__							: x.__name__							)





def    lowerCAmelCase       (		UpperCamelCase__					: List[Any]							):


	"""simple docstring"""
	__UpperCAmelCase      					=      []
	__UpperCAmelCase      					=      get_test_module(UpperCamelCase__							)
	for attr in dir(UpperCamelCase__							):
		__UpperCAmelCase      					=      getattr(UpperCamelCase__     ,       UpperCamelCase__							)
		# (TF/Flax)ModelTesterMixin is also an attribute in specific model test module. Let's exclude them by checking
		# `all_model_classes` is not empty (which also excludes other special classes).
		__UpperCAmelCase      					=      getattr(UpperCamelCase__     ,       '''all_model_classes'''     ,       []							)
		if len(UpperCamelCase__							) > 0:
			test_classes.append(UpperCamelCase__							)

    # sort with class names
	return sorted(UpperCamelCase__     ,       key=lambda UpperCamelCase__							: x.__name__							)





def    lowerCAmelCase       (		UpperCamelCase__					: str							):


	"""simple docstring"""
	__UpperCAmelCase      					=      get_test_classes(UpperCamelCase__							)
	__UpperCAmelCase      					=      set()
	for test_class in test_classes:
		model_classes.update(test_class.all_model_classes							)

	# sort with class names
	return sorted(UpperCamelCase__     ,       key=lambda UpperCamelCase__							: x.__name__							)





def    lowerCAmelCase       (		UpperCamelCase__					: Any							):


	"""simple docstring"""
	__UpperCAmelCase      					=      test_class()
	if hasattr(UpperCamelCase__     ,       '''setUp'''							):
		test.setUp()

	__UpperCAmelCase      					=      None
	if hasattr(UpperCamelCase__     ,       '''model_tester'''							):
		# `(TF/Flax)ModelTesterMixin` has this attribute default to `None`. Let's skip this case.
		if test.model_tester is not None:
			__UpperCAmelCase      					=      test.model_tester.__class__

	return model_tester





def    lowerCAmelCase       (		UpperCamelCase__					: Dict     ,       UpperCamelCase__					: int							):


	"""simple docstring"""
	__UpperCAmelCase      					=      get_test_classes(UpperCamelCase__							)

	__UpperCAmelCase      					=      []
	for test_class in test_classes:
		if model_class in test_class.all_model_classes:
			target_test_classes.append(UpperCamelCase__							)

    # sort with class names
	return sorted(UpperCamelCase__     ,       key=lambda UpperCamelCase__							: x.__name__							)





def    lowerCAmelCase       (		UpperCamelCase__					: Tuple     ,       UpperCamelCase__					: Any							):


	"""simple docstring"""
	__UpperCAmelCase      					=      get_test_classes_for_model(UpperCamelCase__     ,       UpperCamelCase__							)

	__UpperCAmelCase      					=      []
	for test_class in test_classes:
		__UpperCAmelCase      					=      get_model_tester_from_test_class(UpperCamelCase__							)
		if tester_class is not None:
			tester_classes.append(UpperCamelCase__							)

    # sort with class names
	return sorted(UpperCamelCase__     ,       key=lambda UpperCamelCase__							: x.__name__							)





def    lowerCAmelCase       (		UpperCamelCase__					: int							):


	"""simple docstring"""
	__UpperCAmelCase      					=      get_test_classes(UpperCamelCase__							)
	__UpperCAmelCase      					=      {test_class: get_model_tester_from_test_class(UpperCamelCase__							) for test_class in test_classes}
	return test_tester_mapping





def    lowerCAmelCase       (		UpperCamelCase__					: str							):


	"""simple docstring"""
	__UpperCAmelCase      					=      get_model_classes(UpperCamelCase__							)
	__UpperCAmelCase      					=      {
	    model_class: get_test_classes_for_model(UpperCamelCase__     ,       UpperCamelCase__							) for model_class in model_classes
	}
	return model_test_mapping





def    lowerCAmelCase       (		UpperCamelCase__					: Optional[int]							):


	"""simple docstring"""
	__UpperCAmelCase      					=      get_model_classes(UpperCamelCase__							)
	__UpperCAmelCase      					=      {
	    model_class: get_tester_classes_for_model(UpperCamelCase__     ,       UpperCamelCase__							) for model_class in model_classes
	}
	return model_to_tester_mapping





def    lowerCAmelCase       (		UpperCamelCase__					: Tuple							):


	"""simple docstring"""
	if isinstance(UpperCamelCase__     ,       UpperCamelCase__							):
		return o
	elif isinstance(UpperCamelCase__     ,       UpperCamelCase__							):
		return o.__name__
	elif isinstance(UpperCamelCase__     ,       (list, tuple)							):
		return [to_json(UpperCamelCase__							) for x in o]
	elif isinstance(UpperCamelCase__     ,       UpperCamelCase__							):
		return {to_json(UpperCamelCase__							): to_json(UpperCamelCase__							) for k, v in o.items()}
	else:
		return o
