
'''simple docstring'''






from typing import Any

class  UpperCAmelCase__						:



    def __init__(	self      :       Any,__A      :       Any     ):
          _lowerCamelCase				:   Optional[Any]								=   data
          _lowerCamelCase				:   List[str]								=   None



    def __repr__(	self      :       int     ):
          return f'Node({self.data})'


class  UpperCAmelCase__						:



    def __init__(	self      :       Union[str, Any]     ):
          _lowerCamelCase				:   str								=   None



    def __iter__(	self      :       Dict     ):
          _lowerCamelCase				:   int								=   self.head
          while node:
                yield node.data
                _lowerCamelCase				:   List[str]								=   node.next



    def __len__(	self      :       Union[str, Any]     ):
          return sum(1 for _ in self     )



    def __repr__(	self      :       str     ):
          return "->".join([str(__A     ) for item in self]     )



    def __getitem__(	self      :       List[str],__A      :       int     ):
          if not 0 <= index < len(self     ):
                raise ValueError("list index out of range."     )
          for i, node in enumerate(self     ):
                if i == index:
                      return node
          return None



    def __setitem__(	self      :       Optional[Any],__A      :       int,__A      :       Any     ):
          if not 0 <= index < len(self     ):
                raise ValueError("list index out of range."     )
          _lowerCamelCase				:   List[Any]								=   self.head
          for _ in range(__A     ):
                _lowerCamelCase				:   str								=   current.next
          _lowerCamelCase				:   Optional[int]								=   data



    def   lowerCamelCase_  (	self      :       Any,__A      :       Any     ):
          self.insert_nth(len(self     ),__A     )



    def   lowerCamelCase_  (	self      :       str,__A      :       Any     ):
          self.insert_nth(0,__A     )



    def   lowerCamelCase_  (	self      :       Optional[Any],__A      :       int,__A      :       Any     ):
          if not 0 <= index <= len(self     ):
                raise IndexError("list index out of range"     )
          _lowerCamelCase				:   List[Any]								=   Node(__A     )
          if self.head is None:
                _lowerCamelCase				:   Union[str, Any]								=   new_node
          elif index == 0:
                _lowerCamelCase				:   List[str]								=   self.head  # link new_node to head
                _lowerCamelCase				:   str								=   new_node
          else:
                _lowerCamelCase				:   List[str]								=   self.head
                for _ in range(index - 1     ):
                      _lowerCamelCase				:   Optional[int]								=   temp.next
                _lowerCamelCase				:   List[Any]								=   temp.next
                _lowerCamelCase				:   List[Any]								=   new_node



    def   lowerCamelCase_  (	self      :       str     ):  # print every node data
          print(self     )



    def   lowerCamelCase_  (	self      :       Optional[int]     ):
          return self.delete_nth(0     )



    def   lowerCamelCase_  (	self      :       Union[str, Any]     ):  # delete from tail
          return self.delete_nth(len(self     ) - 1     )



    def   lowerCamelCase_  (	self      :       List[str],__A      :       int = 0     ):
          if not 0 <= index <= len(self     ) - 1:  # test if index is valid
                raise IndexError("List index out of range."     )
          _lowerCamelCase				:   int								=   self.head  # default first node
          if index == 0:
                _lowerCamelCase				:   int								=   self.head.next
          else:
                _lowerCamelCase				:   List[Any]								=   self.head
                for _ in range(index - 1     ):
                      _lowerCamelCase				:   List[Any]								=   temp.next
                _lowerCamelCase				:   Optional[int]								=   temp.next
                _lowerCamelCase				:   Any								=   temp.next.next
          return delete_node.data



    def   lowerCamelCase_  (	self      :       List[str]     ):
          return self.head is None



    def   lowerCamelCase_  (	self      :       List[Any]     ):
          _lowerCamelCase				:   Dict								=   None
          _lowerCamelCase				:   List[Any]								=   self.head

          while current:
                # Store the current node's next node.
                _lowerCamelCase				:   Tuple								=   current.next
                # Make the current node's next point backwards
                _lowerCamelCase				:   Dict								=   prev
                # Make the previous node be the current node
                _lowerCamelCase				:   Dict								=   current
                # Make the current node the next node (to progress iteration)
                _lowerCamelCase				:   Optional[int]								=   next_node
          # Return prev in order to put the head at the end
          _lowerCamelCase				:   List[Any]								=   prev







def 		A_       (	):



      """simple docstring"""




      _lowerCamelCase				:   List[Any]								=   LinkedList()
      assert linked_list.is_empty() is True
      assert str(_lowerCAmelCase							) == ""

      try:
            linked_list.delete_head()
            raise AssertionError  # This should not happen.
      except IndexError:
            assert True  # This should happen.

      try:
            linked_list.delete_tail()
            raise AssertionError  # This should not happen.
      except IndexError:
            assert True  # This should happen.

      for i in range(10							):
            assert len(_lowerCAmelCase							) == i
            linked_list.insert_nth(_lowerCAmelCase				,	i + 1							)
      assert str(_lowerCAmelCase							) == "->".join(str(_lowerCAmelCase							) for i in range(1				,	11							)							)

      linked_list.insert_head(0							)
      linked_list.insert_tail(11							)
      assert str(_lowerCAmelCase							) == "->".join(str(_lowerCAmelCase							) for i in range(0				,	12							)							)

      assert linked_list.delete_head() == 0
      assert linked_list.delete_nth(9							) == 10
      assert linked_list.delete_tail() == 11
      assert len(_lowerCAmelCase							) == 9
      assert str(_lowerCAmelCase							) == "->".join(str(_lowerCAmelCase							) for i in range(1				,	10							)							)

      assert all(linked_list[i] == i + 1 for i in range(0				,	9							)							) is True

      for i in range(0				,	9							):
            _lowerCamelCase				:   Optional[Any]								=   -i
      assert all(linked_list[i] == -i for i in range(0				,	9							)							) is True

      linked_list.reverse()
      assert str(_lowerCAmelCase							) == "->".join(str(_lowerCAmelCase							) for i in range(-8				,	1							)							)







def 		A_       (	):



      """simple docstring"""




      _lowerCamelCase				:   int								=   [
          -9,
          100,
          Node(77345112							),
          "dlrow olleH",
          7,
          5555,
          0,
          -1_9_2.5_5_5_5_5,
          "Hello, world!",
          7_7.9,
          Node(10							),
          None,
          None,
          1_2.2_0,
      ]
      _lowerCamelCase				:   Tuple								=   LinkedList()

      for i in test_input:
            linked_list.insert_tail(_lowerCAmelCase							)

      # Check if it's empty or not
      assert linked_list.is_empty() is False
      assert (
          str(_lowerCAmelCase							) == "-9->100->Node(77345112)->dlrow olleH->7->5555->0->"
          "-192.55555->Hello, world!->77.9->Node(10)->None->None->12.2"
      )

      # Delete the head
      _lowerCamelCase				:   Dict								=   linked_list.delete_head()
      assert result == -9
      assert (
          str(_lowerCAmelCase							) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
          "Hello, world!->77.9->Node(10)->None->None->12.2"
      )

      # Delete the tail
      _lowerCamelCase				:   int								=   linked_list.delete_tail()
      assert result == 1_2.2
      assert (
          str(_lowerCAmelCase							) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
          "Hello, world!->77.9->Node(10)->None->None"
      )

      # Delete a node in specific location in linked list
      _lowerCamelCase				:   Optional[Any]								=   linked_list.delete_nth(10							)
      assert result is None
      assert (
          str(_lowerCAmelCase							) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
          "Hello, world!->77.9->Node(10)->None"
      )

      # Add a Node instance to its head
      linked_list.insert_head(Node("Hello again, world!"							)							)
      assert (
          str(_lowerCAmelCase							)
          == "Node(Hello again, world!)->100->Node(77345112)->dlrow olleH->"
          "7->5555->0->-192.55555->Hello, world!->77.9->Node(10)->None"
      )

      # Add None to its tail
      linked_list.insert_tail(_lowerCAmelCase							)
      assert (
          str(_lowerCAmelCase							)
          == "Node(Hello again, world!)->100->Node(77345112)->dlrow olleH->"
          "7->5555->0->-192.55555->Hello, world!->77.9->Node(10)->None->None"
      )

      # Reverse the linked list
      linked_list.reverse()
      assert (
          str(_lowerCAmelCase							)
          == "None->None->Node(10)->77.9->Hello, world!->-192.55555->0->5555->"
          "7->dlrow olleH->Node(77345112)->100->Node(Hello again, world!)"
      )







def 		A_       (	):



      """simple docstring"""




      from doctest import testmod

      testmod()

      _lowerCamelCase				:   Dict								=   LinkedList()
      linked_list.insert_head(input("Inserting 1st at head "							).strip()							)
      linked_list.insert_head(input("Inserting 2nd at head "							).strip()							)
      print("\nPrint list:"							)
      linked_list.print_list()
      linked_list.insert_tail(input("\nInserting 1st at tail "							).strip()							)
      linked_list.insert_tail(input("Inserting 2nd at tail "							).strip()							)
      print("\nPrint list:"							)
      linked_list.print_list()
      print("\nDelete head"							)
      linked_list.delete_head()
      print("Delete tail"							)
      linked_list.delete_tail()
      print("\nPrint list:"							)
      linked_list.print_list()
      print("\nReverse linked list"							)
      linked_list.reverse()
      print("\nPrint list:"							)
      linked_list.print_list()
      print("\nString representation of linked list:"							)
      print(_lowerCAmelCase							)
      print("\nReading/changing Node data using indexing:"							)
      print(F'Element at Position 1: {linked_list[1]}'							)
      _lowerCamelCase				:   Union[str, Any]								=   input("Enter New Value: "							).strip()
      print("New list:"							)
      print(_lowerCAmelCase							)
      print(F'length of linked_list is : {len(_lowerCAmelCase							)}'							)


if __name__ == "__main__":
 main()

'''simple docstring'''






import argparse
from pathlib import Path

import torch

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


logging.set_verbosity_info()
UpperCAmelCase_       :   Optional[int]   =       logging.get_logger(__name__)







def 		A_       (	_lowerCAmelCase   :    Optional[int]							):



      """simple docstring"""




      _lowerCamelCase				:   str								=   torch.load(_lowerCAmelCase				,	map_location="cpu"							)
      if "model" in sd.keys():
            _lowerCamelCase				:   Optional[Any]								=   torch.load(_lowerCAmelCase				,	map_location="cpu"							)["model"]

      # pop unnecessary weights
      _lowerCamelCase				:   Optional[Any]								=   [
          "decoder.version",
          "decoder.output_projection.weight",
      ]
      for key in keys_to_delete:
            if key in sd:
                  sd.pop(_lowerCAmelCase							)

      _lowerCamelCase				:   Union[str, 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:
                  _lowerCamelCase				:   Optional[Any]								=   sd.pop(_lowerCAmelCase							)

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

                  _lowerCamelCase				:   int								=   key.replace(".qkv_proj."				,	".q_proj."							)
                  _lowerCamelCase				:   List[Any]								=   key.replace(".qkv_proj."				,	".k_proj."							)
                  _lowerCamelCase				:   Dict								=   key.replace(".qkv_proj."				,	".v_proj."							)

                  _lowerCamelCase				:   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
                  _lowerCamelCase						,		_lowerCamelCase						,		_lowerCamelCase				:   List[str]								=   torch.split(_lowerCAmelCase				,	depth // 3				,	dim=0							)

                  _lowerCamelCase				:   str								=   q
                  _lowerCamelCase				:   Dict								=   k
                  _lowerCamelCase				:   int								=   v
                  del sd[key]

      return sd







@torch.no_grad()
def 		A_       (	_lowerCAmelCase   :    List[Any]				,	_lowerCAmelCase   :    Dict				,	_lowerCAmelCase   :    List[str]=None							):



      """simple docstring"""




      _lowerCamelCase				:   Any								=   load_checkpoint(_lowerCAmelCase							)

      if config is not None:
            _lowerCamelCase				:   str								=   OPTConfig.from_pretrained(_lowerCAmelCase							)
      else:
            _lowerCamelCase				:   Any								=   OPTConfig()

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

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


if __name__ == "__main__":
 UpperCAmelCase_       :   List[str]   =       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.')
 UpperCAmelCase_       :   str   =       parser.parse_args()
 convert_opt_checkpoint(args.fairseq_path, args.pytorch_dump_folder_path, config=args.hf_config)