import argparse

import torch

from transformers import BlenderbotConfig, BlenderbotForConditionalGeneration
from transformers.utils import logging


logging.set_verbosity_info()
__magic_name__    		=logging.get_logger(__name__)

__magic_name__    		=[
    ["attention", "attn"],
    ["encoder_attention", "encoder_attn"],
    ["q_lin", "q_proj"],
    ["k_lin", "k_proj"],
    ["v_lin", "v_proj"],
    ["out_lin", "out_proj"],
    ["norm_embeddings", "layernorm_embedding"],
    ["position_embeddings", "embed_positions"],
    ["embeddings", "embed_tokens"],
    ["ffn.lin", "fc"],
]







def 			__UpperCamelCase     (    A				):
     if k == "embeddings.weight":
          return "shared.weight"

     for parlai_name, hf_name in PATTERNS:
          UpperCamelCase__					    =   k.replace(lowerCAmelCase__			,				lowerCAmelCase__				)

     if k.startswith('''encoder'''				):
          UpperCamelCase__					    =   k.replace('''.attn'''			,				'''.self_attn'''				)
          UpperCamelCase__					    =   k.replace('''norm1'''			,				'''self_attn_layer_norm'''				)
          UpperCamelCase__					    =   k.replace('''norm2'''			,				'''final_layer_norm'''				)
     elif k.startswith('''decoder'''				):
          UpperCamelCase__					    =   k.replace('''norm1'''			,				'''self_attn_layer_norm'''				)
          UpperCamelCase__					    =   k.replace('''norm2'''			,				'''encoder_attn_layer_norm'''				)
          UpperCamelCase__					    =   k.replace('''norm3'''			,				'''final_layer_norm'''				)
     return k







def 			__UpperCamelCase     (    A				):
     UpperCamelCase__					    =   [
         '''model.encoder.layernorm_embedding.weight''',
         '''model.encoder.layernorm_embedding.bias''',
         '''model.decoder.layernorm_embedding.weight''',
         '''model.decoder.layernorm_embedding.bias''',
     ]
     for k in keys:
          UpperCamelCase__					    =   sd.pop(lowerCAmelCase__				)
          UpperCamelCase__					    =   k.replace('''layernorm_embedding'''			,				'''layer_norm'''				)
          assert new_k not in sd
          UpperCamelCase__					    =   v


__magic_name__    		=["START"]







@torch.no_grad()
def 			__UpperCamelCase     (    A			,				A			,				A				):
     UpperCamelCase__					    =   torch.load(lowerCAmelCase__			,				map_location='''cpu'''				)
     UpperCamelCase__					    =   model['''model''']
     UpperCamelCase__					    =   BlenderbotConfig.from_json_file(lowerCAmelCase__				)
     UpperCamelCase__					    =   BlenderbotForConditionalGeneration(lowerCAmelCase__				)
     UpperCamelCase__					    =   m.model.state_dict().keys()
     UpperCamelCase__					    =   []
     UpperCamelCase__					    =   {}
     for k, v in sd.items():
          if k in IGNORE_KEYS:
               continue

          UpperCamelCase__					    =   rename_state_dict_key(lowerCAmelCase__				)
          if new_k not in valid_keys:
               failures.append([k, new_k]				)
          else:
               UpperCamelCase__					    =   v
     if cfg.normalize_before:  # Blenderbot-3B checkpoints. Rename layernorm_embedding -> layer_norm
          rename_layernorm_keys(lowerCAmelCase__				)
     m.model.load_state_dict(lowerCAmelCase__			,				strict=lowerCAmelCase__				)
     m.half()
     m.save_pretrained(lowerCAmelCase__				)


if __name__ == "__main__":
     __magic_name__    		=argparse.ArgumentParser()
     # Required parameters
     parser.add_argument('''--src_path''', type=str, help='''like blenderbot-model.bin''')
     parser.add_argument('''--save_dir''', default='''hf_blenderbot''', type=str, help='''Where to save converted model.''')
     parser.add_argument(
         '''--hf_config_json''', default='''blenderbot-3b-config.json''', type=str, help='''Path to config to use'''
     )
     __magic_name__    		=parser.parse_args()
     convert_parlai_checkpoint(args.src_path, args.save_dir, args.hf_config_json)






'''simple docstring'''

def 							_UpperCamelCase				(   lowerCAmelCase__:					str   )      -> bool:
							return credit_card_number.startswith(('34', '35', '37', '4', '5', '6')   )




def 							_UpperCamelCase				(   lowerCAmelCase__:					str   )      -> bool:
							SCREAMING_SNAKE_CASE_				=				credit_card_number
							SCREAMING_SNAKE_CASE_				=				0
							SCREAMING_SNAKE_CASE_				=				len(lowerCAmelCase__   ) - 2
							for i in range(lowerCAmelCase__		,-1		,-2   ):
														#  double the value of every second digit
														SCREAMING_SNAKE_CASE_				=				int(cc_number[i]   )
														digit *= 2
														# If doubling of a number results in a two digit number
														# i.e greater than 9(e.g., 6 × 2 = 12),
														# then add the digits of the product (e.g., 12: 1 + 2 = 3, 15: 1 + 5 = 6),
														# to get a single digit number.
														if digit > 9:
																					digit %= 10
																					digit += 1
														SCREAMING_SNAKE_CASE_				=				cc_number[:i] + str(lowerCAmelCase__   ) + cc_number[i + 1 :]
														total += digit

							# Sum up the remaining digits
							for i in range(len(lowerCAmelCase__   ) - 1		,-1		,-2   ):
														total += int(cc_number[i]   )

							return total % 10 == 0




def 							_UpperCamelCase				(   lowerCAmelCase__:					str   )      -> bool:
							SCREAMING_SNAKE_CASE_				=				F"""{credit_card_number} is an invalid credit card number because"""
							if not credit_card_number.isdigit():
														print(F"""{error_message} it has nonnumerical characters."""   )
														return False

							if not 13 <= len(lowerCAmelCase__   ) <= 16:
														print(F"""{error_message} of its length."""   )
														return False

							if not validate_initial_digits(lowerCAmelCase__   ):
														print(F"""{error_message} of its first two digits."""   )
														return False

							if not luhn_validation(lowerCAmelCase__   ):
														print(F"""{error_message} it fails the Luhn check."""   )
														return False

							print(F"""{credit_card_number} is a valid credit card number."""   )
							return True


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							validate_credit_card_number("4111111111111111")
							validate_credit_card_number("32323")





