






"""simple docstring"""



def       snake_case__		(   _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	)    ->tuple[list[list[int]], list[list[str]]]:
 UpperCAmelCase__ 						=				list(_SCREAMING_SNAKE_CASE			)
 UpperCAmelCase__ 						=				list(_SCREAMING_SNAKE_CASE			)
 UpperCAmelCase__ 						=				len(_SCREAMING_SNAKE_CASE			)
 UpperCAmelCase__ 						=				len(_SCREAMING_SNAKE_CASE			)

 UpperCAmelCase__ 						=				[
     [0 for _ in range(len_destination_seq + 1			)] for _ in range(len_source_seq + 1			)
 ]
 UpperCAmelCase__ 						=				[
     ["""0""" for _ in range(len_destination_seq + 1			)] for _ in range(len_source_seq + 1			)
 ]

 for i in range(1       ,	len_source_seq + 1			):
  UpperCAmelCase__ 						=				i * delete_cost
  UpperCAmelCase__ 						=				F'''D{source_seq[i - 1]:c}'''

 for i in range(1       ,	len_destination_seq + 1			):
  UpperCAmelCase__ 						=				i * insert_cost
  UpperCAmelCase__ 						=				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]:
    UpperCAmelCase__ 						=				costs[i - 1][j - 1] + copy_cost
    UpperCAmelCase__ 						=				F'''C{source_seq[i - 1]:c}'''
   else:
    UpperCAmelCase__ 						=				costs[i - 1][j - 1] + replace_cost
    UpperCAmelCase__ 						=				F'''R{source_seq[i - 1]:c}''' + str(destination_seq[j - 1]			)

   if costs[i - 1][j] + delete_cost < costs[i][j]:
    UpperCAmelCase__ 						=				costs[i - 1][j] + delete_cost
    UpperCAmelCase__ 						=				F'''D{source_seq[i - 1]:c}'''

   if costs[i][j - 1] + insert_cost < costs[i][j]:
    UpperCAmelCase__ 						=				costs[i][j - 1] + insert_cost
    UpperCAmelCase__ 						=				F'''I{destination_seq[j - 1]:c}'''

 return costs, ops




def       snake_case__		(   _SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE			)    ->list[str]:
 if i == 0 and j == 0:
  return []
 else:
  if ops[i][j][0] == "C" or ops[i][j][0] == "R":
   UpperCAmelCase__ 						=				assemble_transformation(_SCREAMING_SNAKE_CASE       ,	i - 1       ,	j - 1			)
   seq.append(ops[i][j]			)
   return seq
  elif ops[i][j][0] == "D":
   UpperCAmelCase__ 						=				assemble_transformation(_SCREAMING_SNAKE_CASE       ,	i - 1       ,	_SCREAMING_SNAKE_CASE			)
   seq.append(ops[i][j]			)
   return seq
  else:
   UpperCAmelCase__ 						=				assemble_transformation(_SCREAMING_SNAKE_CASE       ,	_SCREAMING_SNAKE_CASE       ,	j - 1			)
   seq.append(ops[i][j]			)
   return seq


if __name__ == "__main__":
 a       ,				a  :						Optional[Any]					       =							compute_transform_tables('''Python''', '''Algorithms''', -1, 1, 2, 2)

 a  :						int					       =							len(operations)
 a  :						List[Any]					       =							len(operations[0])
 a  :						Union[str, Any]					       =							assemble_transformation(operations, m - 1, n - 1)

 a  :						Optional[int]					       =							list('''Python''')
 a  :						Union[str, Any]					       =							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  :						Tuple					       =							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))











"""simple docstring"""



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


a  :						Optional[Any]					       =							logging.get_logger(__name__)

a  :						int					       =							{
    '''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 	_UpperCamelCase ( __UpperCamelCase							):



    '''simple docstring'''


    __lowercase    :   Optional[Any]											=						'opt'
    __lowercase    :   str											=						['past_key_values']


    def __init__(      self   ,			__lowercase=50272   ,			__lowercase=768   ,			__lowercase=12   ,			__lowercase=3072   ,			__lowercase=2048   ,			__lowercase=True   ,			__lowercase=False   ,			__lowercase=None   ,			__lowercase=0.1   ,			__lowercase=0.0   ,			__lowercase=12   ,			__lowercase="relu"   ,			__lowercase=0.0   ,			__lowercase=0.02   ,			__lowercase=True   ,			__lowercase=1   ,			__lowercase=2   ,			__lowercase=2   ,			__lowercase=True   ,			__lowercase=True   ,			**__lowercase   ,			):
     super().__init__(
         pad_token_id=__lowercase   ,			bos_token_id=__lowercase   ,			eos_token_id=__lowercase   ,			**__lowercase   ,			)
     UpperCAmelCase__ 						=				vocab_size
     UpperCAmelCase__ 						=				max_position_embeddings
     UpperCAmelCase__ 						=				num_attention_heads
     UpperCAmelCase__ 						=				word_embed_proj_dim if word_embed_proj_dim is not None else hidden_size
     UpperCAmelCase__ 						=				ffn_dim
     UpperCAmelCase__ 						=				hidden_size
     UpperCAmelCase__ 						=				num_hidden_layers
     UpperCAmelCase__ 						=				dropout
     UpperCAmelCase__ 						=				attention_dropout
     UpperCAmelCase__ 						=				activation_function
     UpperCAmelCase__ 						=				init_std
     UpperCAmelCase__ 						=				layerdrop
     UpperCAmelCase__ 						=				use_cache
     UpperCAmelCase__ 						=				do_layer_norm_before
     # We keep these variables at `True` for backward compatibility.
     UpperCAmelCase__ 						=				enable_bias
     UpperCAmelCase__ 						=				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
     UpperCAmelCase__ 						=				_remove_final_layer_norm



