





from typing import Any







class       __A							:




      """simple docstring"""







      def __init__(		self   ,				a__):



             """simple docstring"""





             _lowerCamelCase				:  int						=		data
             _lowerCamelCase				:  Optional[Any]						=		None



      def __repr__(		self):



             """simple docstring"""





             return F"""Node({self.data})"""







class       __A							:




      """simple docstring"""







      def __init__(		self):



             """simple docstring"""





             _lowerCamelCase				:  int						=		None


      def __iter__(		self):



             """simple docstring"""





             _lowerCamelCase				:  Tuple						=		self.head
             while node:
                    yield node.data
                    _lowerCamelCase				:  Optional[int]						=		node.next


      def __len__(		self):



             """simple docstring"""





             return sum(1 for _ in self)


      def __repr__(		self):



             """simple docstring"""





             return "->".join([str(a__) for item in self])


      def __getitem__(		self   ,				a__):



             """simple docstring"""





             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   ,				a__   ,				a__):



             """simple docstring"""





             if not 0 <= index < len(self):
                    raise ValueError('''list index out of range.''')
             _lowerCamelCase				:  Dict						=		self.head
             for _ in range(a__):
                    _lowerCamelCase				:  Optional[Any]						=		current.next
             _lowerCamelCase				:  int						=		data


      def 					__snake_case      (		self   ,				a__):



             """simple docstring"""





             self.insert_nth(len(self)   ,				a__)


      def 					__snake_case      (		self   ,				a__):



             """simple docstring"""





             self.insert_nth(0   ,				a__)


      def 					__snake_case      (		self   ,				a__   ,				a__):



             """simple docstring"""





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


      def 					__snake_case      (		self):  # print every node data



             """simple docstring"""





             print(self)


      def 					__snake_case      (		self):



             """simple docstring"""





             return self.delete_nth(0)


      def 					__snake_case      (		self):  # delete from tail



             """simple docstring"""





             return self.delete_nth(len(self) - 1)


      def 					__snake_case      (		self   ,				a__ = 0):



             """simple docstring"""





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


      def 					__snake_case      (		self):



             """simple docstring"""





             return self.head is None



      def 					__snake_case      (		self):



             """simple docstring"""





             _lowerCamelCase				:  Tuple						=		None
             _lowerCamelCase				:  Optional[Any]						=		self.head

             while current:
                    # Store the current node's next node.
                    _lowerCamelCase				:  Optional[Any]						=		current.next
                    # Make the current node's next point backwards
                    _lowerCamelCase				:  Any						=		prev
                    # Make the previous node be the current node
                    _lowerCamelCase				:  List[Any]						=		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				:  str						=		prev




def  __UpperCAmelCase(   ):
       _lowerCamelCase				:  Optional[int]						=		LinkedList()
       assert linked_list.is_empty() is True
       assert str(lowercase_   ) == ""

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

       linked_list.insert_head(0   )
       linked_list.insert_tail(11   )
       assert str(lowercase_   ) == "->".join(str(lowercase_   ) 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(lowercase_   ) == 9
       assert str(lowercase_   ) == "->".join(str(lowercase_   ) 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				:  int						=		-i
       assert all(linked_list[i] == -i for i in range(0			,     9   )   ) is True

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




def  __UpperCAmelCase(   ):
       _lowerCamelCase				:  Dict						=		[
           -9,
           1_00,
           Node(77_34_51_12   ),
           '''dlrow olleH''',
           7,
           55_55,
           0,
           -1_9_2.5_5_5_5_5,
           '''Hello, world!''',
           7_7.9,
           Node(10   ),
           None,
           None,
           1_2.2_0,
       ]
       _lowerCamelCase				:  List[Any]						=		LinkedList()

       for i in test_input:
              linked_list.insert_tail(lowercase_   )

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

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




def  __UpperCAmelCase(   ):
       from doctest import testmod

       testmod()

       _lowerCamelCase				:  str						=		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(lowercase_   )
       print('''\nReading/changing Node data using indexing:'''   )
       print(F"""Element at Position 1: {linked_list[1]}"""   )
       _lowerCamelCase				:  Any						=		input('''Enter New Value: '''   ).strip()
       print('''New list:'''   )
       print(lowercase_   )
       print(F"""length of linked_list is : {len(lowercase_   )}"""   )


if __name__ == "__main__":
       main()








import argparse

import torch

from transformers import GPTaLMHeadModel, RobertaForMaskedLM


if __name__ == "__main__":
       _lowerCamelCase      							=   argparse.ArgumentParser(
           description=(
               'Extraction some layers of the full RobertaForMaskedLM or GPT2LMHeadModel for Transfer Learned'
               ' Distillation'
           )
       )
       parser.add_argument('--model_type', default='roberta', choices=['roberta', 'gpt2'])
       parser.add_argument('--model_name', default='roberta-large', type=str)
       parser.add_argument('--dump_checkpoint', default='serialization_dir/tf_roberta_048131723.pth', type=str)
       parser.add_argument('--vocab_transform', action='store_true')
       _lowerCamelCase      							=   parser.parse_args()

       if args.model_type == "roberta":
              _lowerCamelCase      							=   RobertaForMaskedLM.from_pretrained(args.model_name)
              _lowerCamelCase      							=   'roberta'
       elif args.model_type == "gpt2":
              _lowerCamelCase      							=   GPTaLMHeadModel.from_pretrained(args.model_name)
              _lowerCamelCase      							=   'transformer'

       _lowerCamelCase      							=   model.state_dict()
       _lowerCamelCase      							=   {}

       # Embeddings #
       if args.model_type == "gpt2":
              for param_name in ["wte.weight", "wpe.weight"]:
                     _lowerCamelCase      							=   state_dict[F'''{prefix}.{param_name}''']
       else:
              for w in ["word_embeddings", "position_embeddings", "token_type_embeddings"]:
                     _lowerCamelCase      							=   F'''{prefix}.embeddings.{w}.weight'''
                     _lowerCamelCase      							=   state_dict[param_name]
              for w in ["weight", "bias"]:
                     _lowerCamelCase      							=   F'''{prefix}.embeddings.LayerNorm.{w}'''
                     _lowerCamelCase      							=   state_dict[param_name]

    # Transformer Blocks #
       _lowerCamelCase      							=   0
       for teacher_idx in [0, 2, 4, 7, 9, 11]:
              if args.model_type == "gpt2":
                     for layer in ["ln_1", "attn.c_attn", "attn.c_proj", "ln_2", "mlp.c_fc", "mlp.c_proj"]:
                            for w in ["weight", "bias"]:
                                   _lowerCamelCase      							=   state_dict[
                                       F'''{prefix}.h.{teacher_idx}.{layer}.{w}'''
                                   ]
                     _lowerCamelCase      							=   state_dict[F'''{prefix}.h.{teacher_idx}.attn.bias''']
              else:
                     for layer in [
                         "attention.self.query",
                         "attention.self.key",
                         "attention.self.value",
                         "attention.output.dense",
                         "attention.output.LayerNorm",
                         "intermediate.dense",
                         "output.dense",
                         "output.LayerNorm",
                     ]:
                            for w in ["weight", "bias"]:
                                   _lowerCamelCase      							=   state_dict[
                                       F'''{prefix}.encoder.layer.{teacher_idx}.{layer}.{w}'''
                                   ]
              std_idx += 1

       # Language Modeling Head ###s
       if args.model_type == "roberta":
              for layer in ["lm_head.decoder.weight", "lm_head.bias"]:
                     _lowerCamelCase      							=   state_dict[F'''{layer}''']
              if args.vocab_transform:
                     for w in ["weight", "bias"]:
                            _lowerCamelCase      							=   state_dict[F'''lm_head.dense.{w}''']
                            _lowerCamelCase      							=   state_dict[F'''lm_head.layer_norm.{w}''']
       elif args.model_type == "gpt2":
              for w in ["weight", "bias"]:
                     _lowerCamelCase      							=   state_dict[F'''{prefix}.ln_f.{w}''']
              _lowerCamelCase      							=   state_dict['lm_head.weight']

       print(F'''N layers selected for distillation: {std_idx}''')
       print(F'''Number of params transferred for distillation: {len(compressed_sd.keys())}''')

       print(F'''Save transferred checkpoint to {args.dump_checkpoint}.''')
       torch.save(compressed_sd, args.dump_checkpoint)

