




import warnings

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


lowercase__				:     Dict 		=						logging.get_logger(__name__)

lowercase__				:     List[Any] 		=						{
    "RUCAIBox/mvp": "https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json",
}
class 		UpperCAmelCase   (				UpperCAmelCase__			):







						'''simple docstring'''





						lowerCAmelCase_     		=   '''mvp'''
						lowerCAmelCase_     		=   ['''past_key_values''']
						lowerCAmelCase_     		=   {'''num_attention_heads''': '''encoder_attention_heads''', '''hidden_size''': '''d_model'''}






						def __init__(						self							:     Optional[int]       ,	__lowercase							:     List[str]=5_02_67       ,	__lowercase							:     Tuple=10_24       ,	__lowercase							:     List[str]=12       ,	__lowercase							:     List[str]=40_96       ,	__lowercase							:     List[str]=16       ,	__lowercase							:     Tuple=12       ,	__lowercase							:     List[Any]=40_96       ,	__lowercase							:     Dict=16       ,	__lowercase							:     Any=0.0       ,	__lowercase							:     Any=0.0       ,	__lowercase							:     Dict="gelu"       ,	__lowercase							:     int=10_24       ,	__lowercase							:     Optional[int]=0.1       ,	__lowercase							:     Any=0.0       ,	__lowercase							:     Tuple=0.0       ,	__lowercase							:     int=0.02       ,	__lowercase							:     List[Any]=0.0       ,	__lowercase							:     Optional[int]=False       ,	__lowercase							:     Tuple=True       ,	__lowercase							:     int=1       ,	__lowercase							:     Dict=0       ,	__lowercase							:     List[str]=2       ,	__lowercase							:     int=True       ,	__lowercase							:     List[Any]=2       ,	__lowercase							:     List[str]=2       ,	__lowercase							:     List[str]=False       ,	__lowercase							:     List[Any]=1_00       ,	__lowercase							:     int=8_00       ,	**__lowercase							:     Optional[Any]       ,	):






							"""simple docstring"""






							snake_case_		    =     vocab_size
							snake_case_		    =     max_position_embeddings
							snake_case_		    =     d_model
							snake_case_		    =     encoder_ffn_dim
							snake_case_		    =     encoder_layers
							snake_case_		    =     encoder_attention_heads
							snake_case_		    =     decoder_ffn_dim
							snake_case_		    =     decoder_layers
							snake_case_		    =     decoder_attention_heads
							snake_case_		    =     dropout
							snake_case_		    =     attention_dropout
							snake_case_		    =     activation_dropout
							snake_case_		    =     activation_function
							snake_case_		    =     init_std
							snake_case_		    =     encoder_layerdrop
							snake_case_		    =     decoder_layerdrop
							snake_case_		    =     classifier_dropout
							snake_case_		    =     use_cache
							snake_case_		    =     encoder_layers
							snake_case_		    =     scale_embedding  # scale factor will be sqrt(d_model) if True
							snake_case_		    =     use_prompt
							snake_case_		    =     prompt_length
							snake_case_		    =     prompt_mid_dim

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

							if self.forced_bos_token_id is None and kwargs.get("force_bos_token_to_be_generated"       ,	__lowercase						):
								snake_case_		    =     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."						)






from timeit import timeit

lowercase__				:     Union[str, Any] 		=						{
    "MALAYALAM": True,
    "String": False,
    "rotor": True,
    "level": True,
    "A": True,
    "BB": True,
    "ABC": False,
    "amanaplanacanalpanama": True,  # "a man a plan a canal panama"
}
# Ensure our test data is valid
assert all((key == key[::-1]) is value for key, value in test_data.items())


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	snake_case_		    =     0
	snake_case_		    =     len(_A							) - 1
	while start_i < end_i:
		if s[start_i] == s[end_i]:
			start_i += 1
			end_i -= 1
		else:
			return False
	return True


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	snake_case_		    =     len(_A							) // 2
	snake_case_		    =     len(_A							)

	# We need to traverse till half of the length of string
	# as we can get access of the i'th last element from
	# i'th index.
	# eg: [0,1,2,3,4,5] => 4th index can be accessed
	# with the help of 1st index (i==n-i-1)
	# where n is length of string
	return all(s[i] == s[n - i - 1] for i in range(_A							)							)


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	if len(_A							) <= 2:
		return True
	if s[0] == s[len(_A							) - 1]:
		return is_palindrome_recursive(s[1:-1]							)
	else:
		return False


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	return s == s[::-1]


def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	snake_case_		    =     f"all({name}(key) is value for key, value in test_data.items())"
	snake_case_		    =     f"from __main__ import test_data, {name}"
	snake_case_		    =     500000
	snake_case_		    =     timeit(stmt=_A     ,	setup=_A     ,	number=_A							)
	print(f"{name:<35} finished {number:,} runs in {result:.5f} seconds"							)


if __name__ == "__main__":
		for key, value in test_data.items():
				assert is_palindrome(key) is is_palindrome_recursive(key)
				assert is_palindrome(key) is is_palindrome_slice(key)
				print(f'''{key:21} {value}''')
		print("a man a plan a canal panama")

		# finished 500,000 runs in 0.46793 seconds
		benchmark_function("is_palindrome_slice")
		# finished 500,000 runs in 0.85234 seconds
		benchmark_function("is_palindrome")
		# finished 500,000 runs in 1.32028 seconds
		benchmark_function("is_palindrome_recursive")
		# finished 500,000 runs in 2.08679 seconds
		benchmark_function("is_palindrome_traversal")
