





'''simple docstring'''

from abc import ABC, abstractmethod
from typing import List, Optional






class        UpperCAmelCase     (	UpperCamelCase__    ):
 def __init__(    self				:Tuple							)->							List[Any]:
     # test for the above condition
     self.test()
 def 					UpperCAmelCase_							(    self				:Dict							)->							Any:
     A__    =      0
     A__    =      False
     while not completed:
         if counter == 1:
             self.reset()
         A__    =      self.advance()
         if not self.does_advance(lowercase_							):
             raise Exception(
                 "Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true."							)

         A__,     A__,     A__    =      self.update(lowercase_							)
         counter += 1

         if counter > 1_00_00:
             raise Exception("update() does not fulfill the constraint."							)

     if self.remaining() != 0:
         raise Exception("Custom Constraint is not defined correctly."							)
 @abstractmethod
 def 					UpperCAmelCase_							(    self				:str							)->							Optional[int]:
     raise NotImplementedError(
         F"{self.__class__} is an abstract class. Only classes inheriting this class can be called."							)
 @abstractmethod
 def 					UpperCAmelCase_							(    self				:str						,	lowercase_				:int							)->							Optional[Any]:
     raise NotImplementedError(
         F"{self.__class__} is an abstract class. Only classes inheriting this class can be called."							)
 @abstractmethod
 def 					UpperCAmelCase_							(    self				:Union[str, Any]						,	lowercase_				:int							)->							Optional[Any]:
     raise NotImplementedError(
         F"{self.__class__} is an abstract class. Only classes inheriting this class can be called."							)
 @abstractmethod
 def 					UpperCAmelCase_							(    self				:str							)->							List[str]:
     raise NotImplementedError(
         F"{self.__class__} is an abstract class. Only classes inheriting this class can be called."							)
 @abstractmethod
 def 					UpperCAmelCase_							(    self				:Any							)->							List[str]:
     raise NotImplementedError(
         F"{self.__class__} is an abstract class. Only classes inheriting this class can be called."							)



 @abstractmethod
 def 					UpperCAmelCase_							(    self				:Dict						,	lowercase_				:List[Any]=False							)->							List[Any]:
     raise NotImplementedError(
         F"{self.__class__} is an abstract class. Only classes inheriting this class can be called."							)






class        UpperCAmelCase     (	UpperCamelCase__    ):
 def __init__(    self				:Dict						,	lowercase_				:List[int]							)->							Optional[Any]:
     super(lowercase_						,	self							).__init__()

     if not isinstance(lowercase_						,	lowercase_							) or len(lowercase_							) == 0:
         raise ValueError(F"`token_ids` has to be a non-empty list, but is {token_ids}."							)
     if any((not isinstance(lowercase_						,	lowercase_							) or token_id < 0) for token_id in token_ids							):
         raise ValueError(F"Each list in `token_ids` has to be a list of positive integers, but is {token_ids}."							)

     A__    =      token_ids

     A__    =      len(self.token_ids							)
     A__    =      -1  # the index of the currently fulfilled step
     A__    =      False
 def 					UpperCAmelCase_							(    self				:int							)->							int:
     if self.completed:
         return None
     return self.token_ids[self.fulfilled_idx + 1]
 def 					UpperCAmelCase_							(    self				:str						,	lowercase_				:int							)->							int:
     if not isinstance(lowercase_						,	lowercase_							):
         raise ValueError(F"`token_id` has to be an `int`, but is {token_id} of type {type(lowercase_							)}"							)

     if self.completed:
         return False

     return token_id == self.token_ids[self.fulfilled_idx + 1]
 def 					UpperCAmelCase_							(    self				:List[Any]						,	lowercase_				:int							)->							Dict:
     if not isinstance(lowercase_						,	lowercase_							):
         raise ValueError(F"`token_id` has to be an `int`, but is {token_id} of type {type(lowercase_							)}"							)

     A__    =      False
     A__    =      False
     A__    =      False

     if self.does_advance(lowercase_							):
         self.fulfilled_idx += 1
         A__    =      True
         if self.fulfilled_idx == (self.seqlen - 1):
             A__    =      True
         A__    =      completed
     else:
         # failed to make progress.
         A__    =      True
         self.reset()
     return stepped, completed, reset
 def 					UpperCAmelCase_							(    self				:Optional[int]							)->							List[Any]:
     A__    =      False
     A__    =      0
 def 					UpperCAmelCase_							(    self				:int							)->							Optional[Any]:
     return self.seqlen - (self.fulfilled_idx + 1)



 def 					UpperCAmelCase_							(    self				:Optional[Any]						,	lowercase_				:Dict=False							)->							List[Any]:
     A__    =      PhrasalConstraint(self.token_ids							)

     if stateful:
         A__    =      self.seqlen
         A__    =      self.fulfilled_idx
         A__    =      self.completed

     return new_constraint






class        UpperCAmelCase     :
 def __init__(    self				:Any						,	lowercase_				:List[List[int]]						,	lowercase_				:List[Any]=True							)->							Tuple:
     A__    =      max([len(lowercase_							) for one in nested_token_ids]							)

     A__    =      {}
     for token_ids in nested_token_ids:
         A__    =      root
         for tidx, token_id in enumerate(lowercase_							):
             if token_id not in level:
                 A__    =      {}

             A__    =      level[token_id]

     if no_subsets and self.has_subsets(lowercase_						,	lowercase_							):
         raise ValueError(
             "Each list in `nested_token_ids` can't be a complete subset of another list, but is"
             F" {nested_token_ids}."							)

     A__    =      root
 def 					UpperCAmelCase_							(    self				:List[str]						,	lowercase_				:Optional[Any]							)->							Any:
     A__    =      self.trie

     for current_token in current_seq:
         A__    =      start[current_token]

     A__    =      list(start.keys()							)

     return next_tokens
 def 					UpperCAmelCase_							(    self				:Dict						,	lowercase_				:Optional[Any]							)->							Any:
     A__    =      self.next_tokens(lowercase_							)

     return len(lowercase_							) == 0
 def 					UpperCAmelCase_							(    self				:Any						,	lowercase_				:Tuple							)->							List[str]:
     A__    =      list(root.values()							)
     if len(lowercase_							) == 0:
         return 1
     else:
         return sum([self.count_leaves(lowercase_							) for nn in next_nodes]							)



 def 					UpperCAmelCase_							(    self				:List[str]						,	lowercase_				:Union[str, Any]						,	lowercase_				:List[Any]							)->							Any:
     A__    =      self.count_leaves(lowercase_							)
     return len(lowercase_							) != leaf_count






class        UpperCAmelCase     (	UpperCamelCase__    ):
 def __init__(    self				:str						,	lowercase_				:List[List[int]]							)->							List[str]:
     super(lowercase_						,	self							).__init__()

     if not isinstance(lowercase_						,	lowercase_							) or len(lowercase_							) == 0:
         raise ValueError(F"`nested_token_ids` has to be a non-empty list, but is {nested_token_ids}."							)
     if any(not isinstance(lowercase_						,	lowercase_							) for token_ids in nested_token_ids							):
         raise ValueError(F"`nested_token_ids` has to be a list of lists, but is {nested_token_ids}."							)
     if any(
         any((not isinstance(lowercase_						,	lowercase_							) or token_id < 0) for token_id in token_ids							)
         for token_ids in nested_token_ids							):
         raise ValueError(
             F"Each list in `nested_token_ids` has to be a list of positive integers, but is {nested_token_ids}."							)

     A__    =      DisjunctiveTrie(lowercase_							)
     A__    =      nested_token_ids

     A__    =      self.trie.max_height
     A__    =      []
     A__    =      False
 def 					UpperCAmelCase_							(    self				:Union[str, Any]							)->							str:
     A__    =      self.trie.next_tokens(self.current_seq							)

     if len(lowercase_							) == 0:
         return None
     else:
         return token_list
 def 					UpperCAmelCase_							(    self				:List[str]						,	lowercase_				:int							)->							Optional[int]:
     if not isinstance(lowercase_						,	lowercase_							):
         raise ValueError(F"`token_id` is supposed to be type `int`, but is {token_id} of type {type(lowercase_							)}"							)

     A__    =      self.trie.next_tokens(self.current_seq							)

     return token_id in next_tokens
 def 					UpperCAmelCase_							(    self				:List[Any]						,	lowercase_				:int							)->							List[Any]:
     if not isinstance(lowercase_						,	lowercase_							):
         raise ValueError(F"`token_id` is supposed to be type `int`, but is {token_id} of type {type(lowercase_							)}"							)

     A__    =      False
     A__    =      False
     A__    =      False

     if self.does_advance(lowercase_							):
         self.current_seq.append(lowercase_							)
         A__    =      True
     else:
         A__    =      True
         self.reset()

     A__    =      self.trie.reached_leaf(self.current_seq							)
     A__    =      completed

     return stepped, completed, reset
 def 					UpperCAmelCase_							(    self				:str							)->							Union[str, Any]:
     A__    =      False
     A__    =      []
 def 					UpperCAmelCase_							(    self				:List[str]							)->							Optional[int]:
     if self.completed:
         # since this can be completed without reaching max height
         return 0
     else:
         return self.seqlen - len(self.current_seq							)



 def 					UpperCAmelCase_							(    self				:Tuple						,	lowercase_				:Any=False							)->							Dict:
     A__    =      DisjunctiveConstraint(self.token_ids							)

     if stateful:
         A__    =      self.seqlen
         A__    =      self.current_seq
         A__    =      self.completed

     return new_constraint






class        UpperCAmelCase     :
 def __init__(    self				:int						,	lowercase_				:List[Constraint]							)->							Union[str, Any]:
     A__    =      constraints

     # max # of steps required to fulfill a given constraint
     A__    =      max([c.seqlen for c in constraints]							)
     A__    =      len(lowercase_							)
     A__    =      False

     self.init_state()
 def 					UpperCAmelCase_							(    self				:int							)->							Dict:
     A__    =      []
     A__    =      None
     A__    =      [constraint.copy(stateful=lowercase_							) for constraint in self.constraints]
 def 					UpperCAmelCase_							(    self				:Any							)->							Union[str, Any]:
     A__    =      0
     if self.inprogress_constraint:
         # extra points for having a constraint mid-fulfilled
         add += self.max_seqlen - self.inprogress_constraint.remaining()

     return (len(self.complete_constraints							) * self.max_seqlen) + add
 def 					UpperCAmelCase_							(    self				:List[str]							)->							Any:
     A__    =      []
     if self.inprogress_constraint is None:
         for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
             A__    =      constraint.advance()
             if isinstance(lowercase_						,	lowercase_							):
                 token_list.append(lowercase_							)
             elif isinstance(lowercase_						,	lowercase_							):
                 token_list.extend(lowercase_							)
     else:
         A__    =      self.inprogress_constraint.advance()
         if isinstance(lowercase_						,	lowercase_							):
             token_list.append(lowercase_							)
         elif isinstance(lowercase_						,	lowercase_							):
             token_list.extend(lowercase_							)

     if len(lowercase_							) == 0:
         return None
     else:
         return token_list
 def 					UpperCAmelCase_							(    self				:int						,	lowercase_				:Optional[List[int]]							)->							int:
     self.init_state()

     if token_ids is not None:
         for token in token_ids:
             # completes or steps **one** constraint
             A__,     A__    =      self.add(lowercase_							)

             # the entire list of constraints are fulfilled
             if self.completed:
                 break
 def 					UpperCAmelCase_							(    self				:str						,	lowercase_				:int							)->							Optional[Any]:
     if not isinstance(lowercase_						,	lowercase_							):
         raise ValueError(F"`token_id` should be an `int`, but is `{token_id}`."							)

     A__,     A__    =      False, False

     if self.completed:
         A__    =      True
         A__    =      False
         return complete, stepped

     if self.inprogress_constraint is not None:
         # In the middle of fulfilling a constraint. If the `token_id` *does* makes an incremental progress to current
         # job, simply update the state

         A__,     A__,     A__    =      self.inprogress_constraint.update(lowercase_							)
         if reset:
             # 1. If the next token breaks the progress, then we must restart.
             #     e.g. constraint = "I love pies" and sequence so far is "I love" but `token_id` == "books".

             #     But that doesn't mean we self.init_state(), since we only reset the state for this particular
             #     constraint, not the full list of constraints.

             self.pending_constraints.append(self.inprogress_constraint.copy(stateful=lowercase_							)							)
             A__    =      None

         if complete:
             # 2. If the next token completes the constraint, move it to completed list, set
             #     inprogress to None. If there are no pending constraints either, then this full list of constraints
             #     is complete.

             self.complete_constraints.append(self.inprogress_constraint							)
             A__    =      None

             if len(self.pending_constraints							) == 0:
                 # we're done!
                 A__    =      True

     else:
         # Not in the middle of fulfilling a constraint. So does this `token_id` helps us step towards any of our list
         # of constraints?

         for cidx, pending_constraint in enumerate(self.pending_constraints							):
             if pending_constraint.does_advance(lowercase_							):
                 A__,     A__,     A__    =      pending_constraint.update(lowercase_							)

                 if not stepped:
                     raise Exception(
                         "`constraint.update(token_id)` is not yielding incremental progress, "
                         "even though `constraint.does_advance(token_id)` is true."							)

                 if complete:
                     self.complete_constraints.append(lowercase_							)
                     A__    =      None

                 if not complete and stepped:
                     A__    =      pending_constraint

                 if complete or stepped:
                     # If we made any progress at all, then it's at least not a "pending constraint".

                     A__    =      (
                         self.pending_constraints[:cidx] + self.pending_constraints[cidx + 1 :]
                     )

                     if len(self.pending_constraints							) == 0 and self.inprogress_constraint is None:
                         # If there's no longer any pending after this and no inprogress either, then we must be
                         # complete.

                         A__    =      True

                     break  # prevent accidentally stepping through multiple constraints with just one token.

     return complete, stepped



 def 					UpperCAmelCase_							(    self				:int						,	lowercase_				:Union[str, Any]=True							)->							Dict:
     A__    =      ConstraintListState(self.constraints							)  # we actually never though self.constraints objects
     # throughout this process. So it's at initialization state.

     if stateful:
         A__    =      [
             constraint.copy(stateful=lowercase_							) for constraint in self.complete_constraints
         ]
         if self.inprogress_constraint is not None:
             A__    =      self.inprogress_constraint.copy(stateful=lowercase_							)
         A__    =      [constraint.copy() for constraint in self.pending_constraints]

     return new_state










'''simple docstring'''

import argparse

import torch

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


logging.set_verbosity_info()
__lowerCAmelCase							:     Union[str, Any]		     =logging.get_logger(__name__)

__lowerCAmelCase							:     Optional[int]		     =[
    ["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    (							_lowerCamelCase : int	):
    if k == "embeddings.weight":
        return "shared.weight"

    for parlai_name, hf_name in PATTERNS:
        A__    =      k.replace(_lowerCamelCase						,	_lowerCamelCase	)

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





def 						UpperCamelCase    (							_lowerCamelCase : int	):
    A__    =      [
        "model.encoder.layernorm_embedding.weight",
        "model.encoder.layernorm_embedding.bias",
        "model.decoder.layernorm_embedding.weight",
        "model.decoder.layernorm_embedding.bias",
    ]
    for k in keys:
        A__    =      sd.pop(_lowerCamelCase	)
        A__    =      k.replace("layernorm_embedding"						,	"layer_norm"	)
        assert new_k not in sd
        A__    =      v


__lowerCAmelCase							:     Optional[int]		     =["START"]





@torch.no_grad()
def 						UpperCamelCase    (							_lowerCamelCase : Dict						,	_lowerCamelCase : Optional[Any]						,	_lowerCamelCase : Optional[Any]	):
    A__    =      torch.load(_lowerCamelCase						,	map_location="cpu"	)
    A__    =      model["model"]
    A__    =      BlenderbotConfig.from_json_file(_lowerCamelCase	)
    A__    =      BlenderbotForConditionalGeneration(_lowerCamelCase	)
    A__    =      m.model.state_dict().keys()
    A__    =      []
    A__    =      {}
    for k, v in sd.items():
        if k in IGNORE_KEYS:
            continue

        A__    =      rename_state_dict_key(_lowerCamelCase	)
        if new_k not in valid_keys:
            failures.append([k, new_k]	)
        else:
            A__    =      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__":
  __lowerCAmelCase							:     Union[str, Any]		     =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"
  )
  __lowerCAmelCase							:     Union[str, Any]		     =parser.parse_args()
  convert_parlai_checkpoint(args.src_path, args.save_dir, args.hf_config_json)



