

import argparse
from pathlib import Path

import torch

from transformers import OPTConfig, OPTModel
from transformers.utils import logging


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

def       a__					(		UpperCAmelCase							:      Optional[Any]      )  ->						Dict:
  UpperCAmelCase	:							Optional[int]						=			torch.load(UpperCAmelCase    ,			map_location='''cpu'''      )
  if "model" in sd.keys():
    UpperCAmelCase	:							int						=			torch.load(UpperCAmelCase    ,			map_location='''cpu'''      )['''model''']

  # pop unnecessary weights
  UpperCAmelCase	:							Any						=			[
      '''decoder.version''',
      '''decoder.output_projection.weight''',
  ]
  for key in keys_to_delete:
    if key in sd:
      sd.pop(UpperCAmelCase      )

  UpperCAmelCase	:							Optional[Any]						=			{
      '''decoder.project_in_dim.weight''': '''decoder.project_in.weight''',
      '''decoder.project_out_dim.weight''': '''decoder.project_out.weight''',
      '''decoder.layer_norm.weight''': '''decoder.final_layer_norm.weight''',
      '''decoder.layer_norm.bias''': '''decoder.final_layer_norm.bias''',
  }
  for old_key, new_key in keys_to_rename.items():
    if old_key in sd:
      UpperCAmelCase	:							Union[str, Any]						=			sd.pop(UpperCAmelCase      )

  UpperCAmelCase	:							Any						=			list(sd.keys()      )
  for key in keys:
    if ".qkv_proj." in key:
      UpperCAmelCase	:							str						=			sd[key]
      # We split QKV in separate Q,K,V

      UpperCAmelCase	:							Any						=			key.replace('''.qkv_proj.'''    ,			'''.q_proj.'''      )
      UpperCAmelCase	:							List[Any]						=			key.replace('''.qkv_proj.'''    ,			'''.k_proj.'''      )
      UpperCAmelCase	:							Optional[Any]						=			key.replace('''.qkv_proj.'''    ,			'''.v_proj.'''      )

      UpperCAmelCase	:							Any						=			value.shape[0]
      assert depth % 3 == 0
      # `SequeuceParallelTransformerBlock` has QKV weight is separated in K,V,Q despite the naming:
      # https://cs.github.com/facebookresearch/metaseq/blob/51871bd73cd04c038f239ea2a26db1d7f6b37927/metaseq/modules/sequence_parallel_transformer_layer.py#L97
      UpperCAmelCase			,						UpperCAmelCase			,						UpperCAmelCase	:							str						=			torch.split(UpperCAmelCase    ,			depth // 3    ,			dim=0      )

      UpperCAmelCase	:							List[Any]						=			q
      UpperCAmelCase	:							int						=			k
      UpperCAmelCase	:							Union[str, Any]						=			v
      del sd[key]

  return sd

@torch.no_grad()
def       a__					(		UpperCAmelCase							:      Optional[Any]    ,			UpperCAmelCase							:      Union[str, Any]    ,			UpperCAmelCase							:      Optional[int]=None      )  ->						str:
  UpperCAmelCase	:							str						=			load_checkpoint(UpperCAmelCase      )

  if config is not None:
    UpperCAmelCase	:							str						=			OPTConfig.from_pretrained(UpperCAmelCase      )
  else:
    UpperCAmelCase	:							str						=			OPTConfig()

  UpperCAmelCase	:							Optional[int]						=			OPTModel(UpperCAmelCase      ).half().eval()
  model.load_state_dict(UpperCAmelCase      )

  # Check results
  Path(UpperCAmelCase      ).mkdir(exist_ok=UpperCAmelCase      )
  model.save_pretrained(UpperCAmelCase      )


if __name__ == "__main__":
     _lowerCamelCase    :       Union[str, Any]        =							argparse.ArgumentParser()
     # Required parameters
     parser.add_argument(
         "--fairseq_path",
         type=str,
         help=(
             "path to fairseq checkpoint in correct format. You can find all checkpoints in the correct format here:"
             " https://huggingface.co/models?other=opt_metasq"
         ),
     )
     parser.add_argument("--pytorch_dump_folder_path", default=None, type=str, help="Path to the output PyTorch model.")
     parser.add_argument("--hf_config", default=None, type=str, help="Define HF config.")
     _lowerCamelCase    :       Optional[Any]        =							parser.parse_args()
     convert_opt_checkpoint(args.fairseq_path, args.pytorch_dump_folder_path, config=args.hf_config)








from __future__ import annotations

import queue





class  __UpperCAmelCase					:



   def __init__(							self							:					str,		__A							:					Union[str, Any]						):
     UpperCAmelCase	:							Dict						=			data
     UpperCAmelCase	:							Tuple						=			None
     UpperCAmelCase	:							Any						=			None






def       a__					(		)  ->						TreeNode:
  print('''\n********Press N to stop entering at any point of time********\n'''      )
  UpperCAmelCase	:							Any						=			input('''Enter the value of the root node: '''      ).strip().lower()
  UpperCAmelCase	:							queue.Queue						=			queue.Queue()
  UpperCAmelCase	:							Tuple						=			TreeNode(int(UpperCAmelCase      )      )
  q.put(UpperCAmelCase      )
  while not q.empty():
    UpperCAmelCase	:							int						=			q.get()
    UpperCAmelCase	:							Union[str, Any]						=			f'''Enter the left node of {node_found.data}: '''
    UpperCAmelCase	:							List[Any]						=			input(UpperCAmelCase      ).strip().lower() or '''n'''
    if check == "n":
      return tree_node
    UpperCAmelCase	:							List[str]						=			TreeNode(int(UpperCAmelCase      )      )
    UpperCAmelCase	:							List[str]						=			left_node
    q.put(UpperCAmelCase      )
    UpperCAmelCase	:							List[Any]						=			f'''Enter the right node of {node_found.data}: '''
    UpperCAmelCase	:							List[Any]						=			input(UpperCAmelCase      ).strip().lower() or '''n'''
    if check == "n":
      return tree_node
    UpperCAmelCase	:							Dict						=			TreeNode(int(UpperCAmelCase      )      )
    UpperCAmelCase	:							Dict						=			right_node
    q.put(UpperCAmelCase      )
  raise

def       a__					(		UpperCAmelCase							:      TreeNode      )  ->						None:
  if not isinstance(UpperCAmelCase    ,			UpperCAmelCase      ) or not node:
    return
  print(node.data    ,			end=''','''      )
  pre_order(node.left      )
  pre_order(node.right      )

def       a__					(		UpperCAmelCase							:      TreeNode      )  ->						None:
  if not isinstance(UpperCAmelCase    ,			UpperCAmelCase      ) or not node:
    return
  in_order(node.left      )
  print(node.data    ,			end=''','''      )
  in_order(node.right      )

def       a__					(		UpperCAmelCase							:      TreeNode      )  ->						None:
  if not isinstance(UpperCAmelCase    ,			UpperCAmelCase      ) or not node:
    return
  post_order(node.left      )
  post_order(node.right      )
  print(node.data    ,			end=''','''      )

def       a__					(		UpperCAmelCase							:      TreeNode      )  ->						None:
  if not isinstance(UpperCAmelCase    ,			UpperCAmelCase      ) or not node:
    return
  UpperCAmelCase	:							queue.Queue						=			queue.Queue()
  q.put(UpperCAmelCase      )
  while not q.empty():
    UpperCAmelCase	:							List[Any]						=			q.get()
    print(node_dequeued.data    ,			end=''','''      )
    if node_dequeued.left:
      q.put(node_dequeued.left      )
    if node_dequeued.right:
      q.put(node_dequeued.right      )

def       a__					(		UpperCAmelCase							:      TreeNode      )  ->						None:
  if not isinstance(UpperCAmelCase    ,			UpperCAmelCase      ) or not node:
    return
  UpperCAmelCase	:							queue.Queue						=			queue.Queue()
  q.put(UpperCAmelCase      )
  while not q.empty():
    UpperCAmelCase	:							int						=			[]
    while not q.empty():
      UpperCAmelCase	:							List[str]						=			q.get()
      print(node_dequeued.data    ,			end=''','''      )
      if node_dequeued.left:
        list_.append(node_dequeued.left      )
      if node_dequeued.right:
        list_.append(node_dequeued.right      )
    print()
    for node in list_:
      q.put(UpperCAmelCase      )

def       a__					(		UpperCAmelCase							:      TreeNode      )  ->						None:
  if not isinstance(UpperCAmelCase    ,			UpperCAmelCase      ) or not node:
    return
  UpperCAmelCase	:							list[TreeNode]						=			[]
  UpperCAmelCase	:							List[str]						=			node
  while n or stack:
    while n:  # start from root node, find its left child
      print(n.data    ,			end=''','''      )
      stack.append(UpperCAmelCase      )
      UpperCAmelCase	:							Dict						=			n.left
    # end of while means current node doesn't have left child
    UpperCAmelCase	:							Union[str, Any]						=			stack.pop()
    # start to traverse its right child
    UpperCAmelCase	:							List[str]						=			n.right

def       a__					(		UpperCAmelCase							:      TreeNode      )  ->						None:
  if not isinstance(UpperCAmelCase    ,			UpperCAmelCase      ) or not node:
    return
  UpperCAmelCase	:							list[TreeNode]						=			[]
  UpperCAmelCase	:							Any						=			node
  while n or stack:
    while n:
      stack.append(UpperCAmelCase      )
      UpperCAmelCase	:							Dict						=			n.left
    UpperCAmelCase	:							Optional[int]						=			stack.pop()
    print(n.data    ,			end=''','''      )
    UpperCAmelCase	:							Any						=			n.right

def       a__					(		UpperCAmelCase							:      TreeNode      )  ->						None:
  if not isinstance(UpperCAmelCase    ,			UpperCAmelCase      ) or not node:
    return
  UpperCAmelCase			,						UpperCAmelCase	:							Dict						=			[], []
  UpperCAmelCase	:							Any						=			node
  stacka.append(UpperCAmelCase      )
  while stacka:  # to find the reversed order of post order, store it in stack2
    UpperCAmelCase	:							Union[str, Any]						=			stacka.pop()
    if n.left:
      stacka.append(n.left      )
    if n.right:
      stacka.append(n.right      )
    stacka.append(UpperCAmelCase      )
  while stacka:  # pop up from stack2 will be the post order
    print(stacka.pop().data    ,			end=''','''      )

def       a__					(		UpperCAmelCase							:      str = ""    ,			UpperCAmelCase							:      int=50    ,			UpperCAmelCase							:      Union[str, Any]="*"      )  ->						str:
  if not s:
    return "\n" + width * char
  UpperCAmelCase			,						UpperCAmelCase	:							int						=			divmod(width - len(UpperCAmelCase      ) - 2    ,			2      )
  return f'''{left * char} {s} {(left + extra) * char}'''


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     print(prompt("Binary Tree Traversals"))

     _lowerCamelCase    :       TreeNode        =							build_tree()
     print(prompt("Pre Order Traversal"))
     pre_order(node)
     print(prompt() + "\n")

     print(prompt("In Order Traversal"))
     in_order(node)
     print(prompt() + "\n")

     print(prompt("Post Order Traversal"))
     post_order(node)
     print(prompt() + "\n")

     print(prompt("Level Order Traversal"))
     level_order(node)
     print(prompt() + "\n")

     print(prompt("Actual Level Order Traversal"))
     level_order_actual(node)
     print("*" * 5_0 + "\n")

     print(prompt("Pre Order Traversal - Iteration Version"))
     pre_order_iter(node)
     print(prompt() + "\n")

     print(prompt("In Order Traversal - Iteration Version"))
     in_order_iter(node)
     print(prompt() + "\n")

     print(prompt("Post Order Traversal - Iteration Version"))
     post_order_iter(node)
     print(prompt())





