


"""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 					lowerCAmelCase	(					lowerCamelCase_    ):




		'''simple docstring'''







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







		def __init__(	self						,       lowerCAmelCase__=50_267						,       lowerCAmelCase__=1_024						,       lowerCAmelCase__=12						,       lowerCAmelCase__=4_096						,       lowerCAmelCase__=16						,       lowerCAmelCase__=12						,       lowerCAmelCase__=4_096						,       lowerCAmelCase__=16						,       lowerCAmelCase__=0.0						,       lowerCAmelCase__=0.0						,       lowerCAmelCase__="gelu"						,       lowerCAmelCase__=1_024						,       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__=100						,       lowerCAmelCase__=800						,       **lowerCAmelCase__						,       )     ->							Union[str, Any]:
								SCREAMING_SNAKE_CASE													=					vocab_size
								SCREAMING_SNAKE_CASE													=					max_position_embeddings
								SCREAMING_SNAKE_CASE													=					d_model
								SCREAMING_SNAKE_CASE													=					encoder_ffn_dim
								SCREAMING_SNAKE_CASE													=					encoder_layers
								SCREAMING_SNAKE_CASE													=					encoder_attention_heads
								SCREAMING_SNAKE_CASE													=					decoder_ffn_dim
								SCREAMING_SNAKE_CASE													=					decoder_layers
								SCREAMING_SNAKE_CASE													=					decoder_attention_heads
								SCREAMING_SNAKE_CASE													=					dropout
								SCREAMING_SNAKE_CASE													=					attention_dropout
								SCREAMING_SNAKE_CASE													=					activation_dropout
								SCREAMING_SNAKE_CASE													=					activation_function
								SCREAMING_SNAKE_CASE													=					init_std
								SCREAMING_SNAKE_CASE													=					encoder_layerdrop
								SCREAMING_SNAKE_CASE													=					decoder_layerdrop
								SCREAMING_SNAKE_CASE													=					classifier_dropout
								SCREAMING_SNAKE_CASE													=					use_cache
								SCREAMING_SNAKE_CASE													=					encoder_layers
								SCREAMING_SNAKE_CASE													=					scale_embedding  # scale factor will be sqrt(d_model) if True
								SCREAMING_SNAKE_CASE													=					use_prompt
								SCREAMING_SNAKE_CASE													=					prompt_length
								SCREAMING_SNAKE_CASE													=					prompt_mid_dim

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

								if self.forced_bos_token_id is None and kwargs.get('force_bos_token_to_be_generated'						,       _a				):
														SCREAMING_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.'				)




snake_case :		Optional[int]							      =  "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"






def   lowerCAmelCase_						(					_snake_case      :  bytes   )				->		bytes:







	'''simple docstring'''


	if not isinstance(_snake_case      ,   _snake_case   ):
		__magic_name__		:		Tuple	   =     F'''a bytes-like object is required, not \'{data.__class__.__name__}\''''
		raise TypeError(_snake_case   )

	__magic_name__		:		Optional[int]	   =     "".join(bin(_snake_case   )[2:].zfill(8   ) for byte in data   )

	__magic_name__		:		List[Any]	   =     len(_snake_case   ) % 6 != 0

	if padding_needed:
		# The padding that will be added later
		__magic_name__		:		List[str]	   =     B"=" * ((6 - len(_snake_case   ) % 6) // 2)

		# Append binary_stream with arbitrary binary digits (0's by default) to make its
		# length a multiple of 6.
		binary_stream += "0" * (6 - len(_snake_case   ) % 6)
	else:
		__magic_name__		:		List[str]	   =     B""

	# Encode every 6 binary digits to their corresponding Base64 character
	return (
	    "".join(
	        B64_CHARSET[int(binary_stream[index : index + 6]      ,   2   )]
	        for index in range(0      ,   len(_snake_case   )      ,   6   )   ).encode()
	    + padding
	)






def   lowerCAmelCase_						(					_snake_case      :  str   )				->		bytes:







	'''simple docstring'''


	if not isinstance(_snake_case      ,   _snake_case   ) and not isinstance(_snake_case      ,   _snake_case   ):
		__magic_name__		:		List[str]	   =     (
		    "argument should be a bytes-like object or ASCII string, "
		    F'''not \'{encoded_data.__class__.__name__}\''''
		)
		raise TypeError(_snake_case   )

	# In case encoded_data is a bytes-like object, make sure it contains only
	# ASCII characters so we convert it to a string object
	if isinstance(_snake_case      ,   _snake_case   ):
		try:
			__magic_name__		:		List[Any]	   =     encoded_data.decode("utf-8"   )
		except UnicodeDecodeError:
			raise ValueError("base64 encoded data should only contain ASCII characters"   )

	__magic_name__		:		List[str]	   =     encoded_data.count("="   )

	# Check if the encoded string contains non base64 characters
	if padding:
		assert all(
		    char in B64_CHARSET for char in encoded_data[:-padding]   ), "Invalid base64 character(s) found."
	else:
		assert all(
		    char in B64_CHARSET for char in encoded_data   ), "Invalid base64 character(s) found."

	# Check the padding
	assert len(_snake_case   ) % 4 == 0 and padding < 3, "Incorrect padding"

	if padding:
		# Remove padding if there is one
		__magic_name__		:		Optional[int]	   =     encoded_data[:-padding]

		__magic_name__		:		Dict	   =     "".join(
		    bin(B64_CHARSET.index(_snake_case   )   )[2:].zfill(6   ) for char in encoded_data   )[: -padding * 2]
	else:
		__magic_name__		:		Union[str, Any]	   =     "".join(
		    bin(B64_CHARSET.index(_snake_case   )   )[2:].zfill(6   ) for char in encoded_data   )

	__magic_name__		:		List[Any]	   =     [
	    int(binary_stream[index : index + 8]      ,   2   )
	    for index in range(0      ,   len(_snake_case   )      ,   8   )
	]

	return bytes(_snake_case   )


if __name__ == "__main__":
				import doctest

				doctest.testmod()
