
'''simple docstring'''



import argparse

import torch

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


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

_lowercase    =		[
    ["""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 A				(__lowerCamelCase				:Dict		):
						if k == "embeddings.weight":
												return "shared.weight"

						for parlai_name, hf_name in PATTERNS:
												_lowerCAmelCase  						=			k.replace(__lowerCamelCase			,     __lowerCamelCase		)

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


def A				(__lowerCamelCase				:Union[str, Any]		):
						_lowerCAmelCase  						=			[
						    """model.encoder.layernorm_embedding.weight""",
						    """model.encoder.layernorm_embedding.bias""",
						    """model.decoder.layernorm_embedding.weight""",
						    """model.decoder.layernorm_embedding.bias""",
						]
						for k in keys:
												_lowerCAmelCase  						=			sd.pop(__lowerCamelCase		)
												_lowerCAmelCase  						=			k.replace("""layernorm_embedding"""			,     """layer_norm"""		)
												assert new_k not in sd
												_lowerCAmelCase  						=			v


_lowercase    =		["""START"""]


@torch.no_grad()
def A				(__lowerCamelCase				:str			,     __lowerCamelCase				:str			,     __lowerCamelCase				:Any		):
						_lowerCAmelCase  						=			torch.load(__lowerCamelCase			,     map_location="""cpu"""		)
						_lowerCAmelCase  						=			model["""model"""]
						_lowerCAmelCase  						=			BlenderbotConfig.from_json_file(__lowerCamelCase		)
						_lowerCAmelCase  						=			BlenderbotForConditionalGeneration(__lowerCamelCase		)
						_lowerCAmelCase  						=			m.model.state_dict().keys()
						_lowerCAmelCase  						=			[]
						_lowerCAmelCase  						=			{}
						for k, v in sd.items():
												if k in IGNORE_KEYS:
																		continue

												_lowerCAmelCase  						=			rename_state_dict_key(__lowerCamelCase		)
												if new_k not in valid_keys:
																		failures.append([k, new_k]		)
												else:
																		_lowerCAmelCase  						=			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__":
						_lowercase    =		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"""
						)
						_lowercase    =		parser.parse_args()
						convert_parlai_checkpoint(args.src_path, args.save_dir, args.hf_config_json)


'''simple docstring'''



import heapq as hq
import math
from collections.abc import Iterator




class   UpperCAmelCase_					:






						'''simple docstring'''






						def __init__( self   ,       _lowercase				):

												"""simple docstring"""



												_lowerCAmelCase  						=			str(id_				)
												_lowerCAmelCase  						=			None
												_lowerCAmelCase  						=			None
												_lowerCAmelCase  						=			[]
												_lowerCAmelCase  						=			{}  # {vertex:distance}




						def __lt__( self   ,       _lowercase				):

												"""simple docstring"""



												return self.key < other.key




						def __repr__( self				):

												"""simple docstring"""



												return self.id




						def  _lowercase     ( self   ,       _lowercase				):

												"""simple docstring"""



												self.neighbors.append(_lowercase				)




						def  _lowercase     ( self   ,       _lowercase   ,       _lowercase				):

												"""simple docstring"""



												_lowerCAmelCase  						=			weight






def A				(__lowerCamelCase				:List[Any]			,     __lowerCamelCase				:Union[str, Any]			,     __lowerCamelCase				:Dict			,     __lowerCamelCase				:Optional[int]		):
						# add the neighbors:
						graph[a - 1].add_neighbor(graph[b - 1]		)
						graph[b - 1].add_neighbor(graph[a - 1]		)
						# add the edges:
						graph[a - 1].add_edge(graph[b - 1]			,     __lowerCamelCase		)
						graph[b - 1].add_edge(graph[a - 1]			,     __lowerCamelCase		)


def A				(__lowerCamelCase				:list			,     __lowerCamelCase				:Vertex		):
						_lowerCAmelCase  						=			[]
						for u in graph:
												_lowerCAmelCase  						=			math.inf
												_lowerCAmelCase  						=			None
						_lowerCAmelCase  						=			0
						_lowerCAmelCase  						=			graph[:]
						while q:
												_lowerCAmelCase  						=			min(__lowerCamelCase		)
												q.remove(__lowerCamelCase		)
												for v in u.neighbors:
																		if (v in q) and (u.edges[v.id] < v.key):
																								_lowerCAmelCase  						=			u
																								_lowerCAmelCase  						=			u.edges[v.id]
						for i in range(1			,     len(__lowerCamelCase		)		):
												a.append((int(graph[i].id		) + 1, int(graph[i].pi.id		) + 1)		)
						return a


def A				(__lowerCamelCase				:list			,     __lowerCamelCase				:Vertex		):
						for u in graph:
												_lowerCAmelCase  						=			math.inf
												_lowerCAmelCase  						=			None
						_lowerCAmelCase  						=			0

						_lowerCAmelCase  						=			list(__lowerCamelCase		)
						hq.heapify(__lowerCamelCase		)

						while h:
												_lowerCAmelCase  						=			hq.heappop(__lowerCamelCase		)
												for v in u.neighbors:
																		if (v in h) and (u.edges[v.id] < v.key):
																								_lowerCAmelCase  						=			u
																								_lowerCAmelCase  						=			u.edges[v.id]
																								hq.heapify(__lowerCamelCase		)

						for i in range(1			,     len(__lowerCamelCase		)		):
												yield (int(graph[i].id		) + 1, int(graph[i].pi.id		) + 1)


def A				():
						pass


if __name__ == "__main__":
						import doctest

						doctest.testmod()
