



def       UpperCamelCase(  __UpperCamelCase							:		str					,__UpperCamelCase							:		str					,__UpperCamelCase							:		int					,__UpperCamelCase							:		int					,__UpperCamelCase							:		int					,__UpperCamelCase							:		int					,):
		lowerCAmelCase_      :					int     =			list(__UpperCamelCase			)
		lowerCAmelCase_      :					str     =			list(__UpperCamelCase			)
		lowerCAmelCase_      :					List[str]     =			len(__UpperCamelCase			)
		lowerCAmelCase_      :					Any     =			len(__UpperCamelCase			)

		lowerCAmelCase_      :					Optional[int]     =			[
		    [0 for _ in range(len_destination_seq + 1			)] for _ in range(len_source_seq + 1			)
		]
		lowerCAmelCase_      :					Any     =			[
		    ['''0''' for _ in range(len_destination_seq + 1			)] for _ in range(len_source_seq + 1			)
		]

		for i in range(1					,len_source_seq + 1			):
				lowerCAmelCase_      :					Optional[int]     =			i * delete_cost
				lowerCAmelCase_      :					Optional[int]     =			f"""D{source_seq[i - 1]:c}"""

		for i in range(1					,len_destination_seq + 1			):
				lowerCAmelCase_      :					Union[str, Any]     =			i * insert_cost
				lowerCAmelCase_      :					Any     =			f"""I{destination_seq[i - 1]:c}"""

		for i in range(1					,len_source_seq + 1			):
				for j in range(1					,len_destination_seq + 1			):
						if source_seq[i - 1] == destination_seq[j - 1]:
								lowerCAmelCase_      :					Union[str, Any]     =			costs[i - 1][j - 1] + copy_cost
								lowerCAmelCase_      :					List[Any]     =			f"""C{source_seq[i - 1]:c}"""
						else:
								lowerCAmelCase_      :					List[Any]     =			costs[i - 1][j - 1] + replace_cost
								lowerCAmelCase_      :					Optional[Any]     =			f"""R{source_seq[i - 1]:c}""" + str(destination_seq[j - 1]			)

						if costs[i - 1][j] + delete_cost < costs[i][j]:
								lowerCAmelCase_      :					Any     =			costs[i - 1][j] + delete_cost
								lowerCAmelCase_      :					Tuple     =			f"""D{source_seq[i - 1]:c}"""

						if costs[i][j - 1] + insert_cost < costs[i][j]:
								lowerCAmelCase_      :					Dict     =			costs[i][j - 1] + insert_cost
								lowerCAmelCase_      :					Optional[Any]     =			f"""I{destination_seq[j - 1]:c}"""

		return costs, ops


def       UpperCamelCase(  __UpperCamelCase							:		list[list[str]]					,__UpperCamelCase							:		int					,__UpperCamelCase							:		int			):
		if i == 0 and j == 0:
				return []
		else:
				if ops[i][j][0] == "C" or ops[i][j][0] == "R":
						lowerCAmelCase_      :					Tuple     =			assemble_transformation(__UpperCamelCase					,i - 1					,j - 1			)
						seq.append(ops[i][j]			)
						return seq
				elif ops[i][j][0] == "D":
						lowerCAmelCase_      :					Any     =			assemble_transformation(__UpperCamelCase					,i - 1					,__UpperCamelCase			)
						seq.append(ops[i][j]			)
						return seq
				else:
						lowerCAmelCase_      :					int     =			assemble_transformation(__UpperCamelCase					,__UpperCamelCase					,j - 1			)
						seq.append(ops[i][j]			)
						return seq


if __name__ == "__main__":
		A__  :  Tuple       = compute_transform_tables('''Python''', '''Algorithms''', -1, 1, 2, 2)

		A__  :  List[Any]       = len(operations)
		A__  :  Optional[Any]       = len(operations[0])
		A__  :  Dict       = assemble_transformation(operations, m - 1, n - 1)

		A__  :  List[Any]       = list('''Python''')
		A__  :  Tuple       = 0
		A__  :  List[str]       = 0

		with open('''min_cost.txt''', '''w''') as file:
				for op in sequence:
						print(''''''.join(string))

						if op[0] == "C":
								file.write('''%-16s''' % '''Copy %c''' % op[1])
								file.write('''\t\t\t''' + ''''''.join(string))
								file.write('''\r\n''')

								cost -= 1
						elif op[0] == "R":
								A__  :  int       = op[2]

								file.write('''%-16s''' % ('''Replace %c''' % op[1] + ''' with ''' + str(op[2])))
								file.write('''\t\t''' + ''''''.join(string))
								file.write('''\r\n''')

								cost += 1
						elif op[0] == "D":
								string.pop(i)

								file.write('''%-16s''' % '''Delete %c''' % op[1])
								file.write('''\t\t\t''' + ''''''.join(string))
								file.write('''\r\n''')

								cost += 2
						else:
								string.insert(i, op[1])

								file.write('''%-16s''' % '''Insert %c''' % op[1])
								file.write('''\t\t\t''' + ''''''.join(string))
								file.write('''\r\n''')

								cost += 2

						i += 1

				print(''''''.join(string))
				print('''Cost: ''', cost)

				file.write('''\r\nMinimum cost: ''' + str(cost))










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


A__  :  Tuple       = logging.get_logger(__name__)

A__  :  Tuple       = {
    '''facebook/opt-125m''': '''https://huggingface.co/facebook/opt-125m/blob/main/config.json''',
    '''facebook/opt-350m''': '''https://huggingface.co/facebook/opt-350m/blob/main/config.json''',
    '''facebook/opt-1.3b''': '''https://huggingface.co/facebook/opt-1.3b/blob/main/config.json''',
    '''facebook/opt-2.7b''': '''https://huggingface.co/facebook/opt-2.7b/blob/main/config.json''',
    '''facebook/opt-6.7b''': '''https://huggingface.co/facebook/opt-6.7b/blob/main/config.json''',
    '''facebook/opt-13b''': '''https://huggingface.co/facebook/opt-13b/blob/main/config.json''',
}



class     __snake_case						(					UpperCamelCase_						):
							_a      				=			'''opt'''
							_a      				=			['''past_key_values''']




							def __init__(	self					:	Optional[int]    ,    A_					:	Any=5_0_2_7_2    ,    A_					:	Tuple=7_6_8    ,    A_					:	Optional[Any]=1_2    ,    A_					:	str=3_0_7_2    ,    A_					:	Dict=2_0_4_8    ,    A_					:	List[Any]=True    ,    A_					:	Optional[int]=False    ,    A_					:	Optional[int]=None    ,    A_					:	Dict=0.1    ,    A_					:	str=0.0    ,    A_					:	Union[str, Any]=1_2    ,    A_					:	List[str]="relu"    ,    A_					:	Dict=0.0    ,    A_					:	Union[str, Any]=0.02    ,    A_					:	Optional[Any]=True    ,    A_					:	Optional[Any]=1    ,    A_					:	List[Any]=2    ,    A_					:	Dict=2    ,    A_					:	Optional[int]=True    ,    A_					:	Optional[int]=True    ,    **A_					:	List[Any]    ,    ):
									super().__init__(
									    pad_token_id=A_    ,    bos_token_id=A_    ,    eos_token_id=A_    ,    **A_    ,    )
									lowerCAmelCase_      :					List[Any]     =			vocab_size
									lowerCAmelCase_      :					Union[str, Any]     =			max_position_embeddings
									lowerCAmelCase_      :					Optional[int]     =			num_attention_heads
									lowerCAmelCase_      :					int     =			word_embed_proj_dim if word_embed_proj_dim is not None else hidden_size
									lowerCAmelCase_      :					List[Any]     =			ffn_dim
									lowerCAmelCase_      :					Any     =			hidden_size
									lowerCAmelCase_      :					Union[str, Any]     =			num_hidden_layers
									lowerCAmelCase_      :					str     =			dropout
									lowerCAmelCase_      :					List[str]     =			attention_dropout
									lowerCAmelCase_      :					Any     =			activation_function
									lowerCAmelCase_      :					Union[str, Any]     =			init_std
									lowerCAmelCase_      :					int     =			layerdrop
									lowerCAmelCase_      :					Optional[int]     =			use_cache
									lowerCAmelCase_      :					int     =			do_layer_norm_before
									# We keep these variables at `True` for backward compatibility.
									lowerCAmelCase_      :					Optional[Any]     =			enable_bias
									lowerCAmelCase_      :					Optional[int]     =			layer_norm_elementwise_affine

									# Note that the only purpose of `_remove_final_layer_norm` is to keep backward compatibility
									# with checkpoints that have been fine-tuned before transformers v4.20.1
									# see https://github.com/facebookresearch/metaseq/pull/164
									lowerCAmelCase_      :					Optional[Any]     =			_remove_final_layer_norm





