



'''simple docstring'''





import argparse
import os
import re


__a          =		"src/transformers"

# Pattern that looks at the indentation in a line.
__a          =		re.compile(R"^(\s*)\S")
# Pattern that matches `"key":" and puts `key` in group 0.
__a          =		re.compile(R"^\s*\"([^\"]+)\":")
# Pattern that matches `_import_structure["key"]` and puts `key` in group 0.
__a          =		re.compile(R"^\s*_import_structure\[\"([^\"]+)\"\]")
# Pattern that matches `"key",` and puts `key` in group 0.
__a          =		re.compile(R"^\s*\"([^\"]+)\",\s*$")
# Pattern that matches any `[stuff]` and puts `stuff` in group 0.
__a          =		re.compile(R"\[([^\]]+)\]")





def 						__snake_case(				_lowerCAmelCase		)		-> List[Any]:
      snake_case__  :    int    						=      _re_indent.search(_lowerCAmelCase		)
      return "" if search is None else search.groups()[0]





def 						__snake_case(				_lowerCAmelCase     ,   _lowerCAmelCase=""     ,   _lowerCAmelCase=None     ,   _lowerCAmelCase=None		)		-> List[str]:
      snake_case__  :    str    						=      0
      snake_case__  :    Union[str, Any]    						=      code.split("""\n"""		)
      if start_prompt is not None:
            while not lines[index].startswith(_lowerCAmelCase		):
                  index += 1
            snake_case__  :    Tuple    						=      ["""\n""".join(lines[:index]		)]
      else:
            snake_case__  :    List[str]    						=      []

      # We split into blocks until we get to the `end_prompt` (or the end of the block).
      snake_case__  :    Optional[int]    						=      [lines[index]]
      index += 1
      while index < len(_lowerCAmelCase		) and (end_prompt is None or not lines[index].startswith(_lowerCAmelCase		)):
            if len(lines[index]		) > 0 and get_indent(lines[index]		) == indent_level:
                  if len(_lowerCAmelCase		) > 0 and get_indent(current_block[-1]		).startswith(indent_level + """ """		):
                        current_block.append(lines[index]		)
                        blocks.append("""\n""".join(_lowerCAmelCase		)		)
                        if index < len(_lowerCAmelCase		) - 1:
                              snake_case__  :    str    						=      [lines[index + 1]]
                              index += 1
                        else:
                              snake_case__  :    int    						=      []
                  else:
                        blocks.append("""\n""".join(_lowerCAmelCase		)		)
                        snake_case__  :    Optional[Any]    						=      [lines[index]]
            else:
                  current_block.append(lines[index]		)
            index += 1

      # Adds current block if it's nonempty.
      if len(_lowerCAmelCase		) > 0:
            blocks.append("""\n""".join(_lowerCAmelCase		)		)

      # Add final block after end_prompt if provided.
      if end_prompt is not None and index < len(_lowerCAmelCase		):
            blocks.append("""\n""".join(lines[index:]		)		)

      return blocks





def 						__snake_case(				_lowerCAmelCase		)		-> Tuple:

      def _inner(_lowerCAmelCase		):
            return key(_lowerCAmelCase		).lower().replace("""_"""     ,   """"""		)

      return _inner





def 						__snake_case(				_lowerCAmelCase     ,   _lowerCAmelCase=None		)		-> List[Any]:

      # If no key is provided, we use a noop.
      def noop(_lowerCAmelCase		):
            return x

      if key is None:
            snake_case__  :    Optional[int]    						=      noop
      # Constants are all uppercase, they go first.
      snake_case__  :    Optional[int]    						=      [obj for obj in objects if key(_lowerCAmelCase		).isupper()]
      # Classes are not all uppercase but start with a capital, they go second.
      snake_case__  :    int    						=      [obj for obj in objects if key(_lowerCAmelCase		)[0].isupper() and not key(_lowerCAmelCase		).isupper()]
      # Functions begin with a lowercase, they go last.
      snake_case__  :    str    						=      [obj for obj in objects if not key(_lowerCAmelCase		)[0].isupper()]

      snake_case__  :    List[str]    						=      ignore_underscore(_lowerCAmelCase		)
      return sorted(_lowerCAmelCase     ,   key=_lowerCAmelCase		) + sorted(_lowerCAmelCase     ,   key=_lowerCAmelCase		) + sorted(_lowerCAmelCase     ,   key=_lowerCAmelCase		)





def 						__snake_case(				_lowerCAmelCase		)		-> int:

      # This inner function sort imports between [ ].
      def _replace(_lowerCAmelCase		):
            snake_case__  :    Union[str, Any]    						=      match.groups()[0]
            if "," not in imports:
                  return f"[{imports}]"
            snake_case__  :    int    						=      [part.strip().replace("""\""""     ,   """"""		) for part in imports.split(""","""		)]
            # We will have a final empty element if the line finished with a comma.
            if len(keys[-1]		) == 0:
                  snake_case__  :    List[str]    						=      keys[:-1]
            return "[" + ", ".join([f"\"{k}\"" for k in sort_objects(_lowerCAmelCase		)]		) + "]"

      snake_case__  :    str    						=      import_statement.split("""\n"""		)
      if len(_lowerCAmelCase		) > 3:
            # Here we have to sort internal imports that are on several lines (one per name):
            # key: [
            #     "object1",
            #     "object2",
            #     ...
            # ]

            # We may have to ignore one or two lines on each side.
            snake_case__  :    Dict    						=      2 if lines[1].strip() == """[""" else 1
            snake_case__  :    str    						=      [(i, _re_strip_line.search(_lowerCAmelCase		).groups()[0]) for i, line in enumerate(lines[idx:-idx]		)]
            snake_case__  :    str    						=      sort_objects(_lowerCAmelCase     ,   key=lambda _lowerCAmelCase		: x[1]		)
            snake_case__  :    Union[str, Any]    						=      [lines[x[0] + idx] for x in sorted_indices]
            return "\n".join(lines[:idx] + sorted_lines + lines[-idx:]		)
      elif len(_lowerCAmelCase		) == 3:
            # Here we have to sort internal imports that are on one separate line:
            # key: [
            #     "object1", "object2", ...
            # ]
            if _re_bracket_content.search(lines[1]		) is not None:
                  snake_case__  :    Union[str, Any]    						=      _re_bracket_content.sub(_replace     ,   lines[1]		)
            else:
                  snake_case__  :    List[Any]    						=      [part.strip().replace("""\""""     ,   """"""		) for part in lines[1].split(""","""		)]
                  # We will have a final empty element if the line finished with a comma.
                  if len(keys[-1]		) == 0:
                        snake_case__  :    List[str]    						=      keys[:-1]
                  snake_case__  :    int    						=      get_indent(lines[1]		) + """, """.join([f"\"{k}\"" for k in sort_objects(_lowerCAmelCase		)]		)
            return "\n".join(_lowerCAmelCase		)
      else:
            # Finally we have to deal with imports fitting on one line
            snake_case__  :    Optional[Any]    						=      _re_bracket_content.sub(_replace     ,   _lowerCAmelCase		)
            return import_statement





def 						__snake_case(				_lowerCAmelCase     ,   _lowerCAmelCase=True		)		-> Dict:
      with open(_lowerCAmelCase     ,   encoding="""utf-8"""		) as f:
            snake_case__  :    Optional[int]    						=      f.read()

      if "_import_structure" not in code:
            return

      # Blocks of indent level 0
      snake_case__  :    Optional[int]    						=      split_code_in_indented_blocks(
          _lowerCAmelCase     ,   start_prompt="""_import_structure = {"""     ,   end_prompt="""if TYPE_CHECKING:"""		)

      # We ignore block 0 (everything untils start_prompt) and the last block (everything after end_prompt).
      for block_idx in range(1     ,   len(_lowerCAmelCase		) - 1		):
            # Check if the block contains some `_import_structure`s thingy to sort.
            snake_case__  :    Optional[Any]    						=      main_blocks[block_idx]
            snake_case__  :    Dict    						=      block.split("""\n"""		)

            # Get to the start of the imports.
            snake_case__  :    Dict    						=      0
            while line_idx < len(_lowerCAmelCase		) and "_import_structure" not in block_lines[line_idx]:
                  # Skip dummy import blocks
                  if "import dummy" in block_lines[line_idx]:
                        snake_case__  :    Union[str, Any]    						=      len(_lowerCAmelCase		)
                  else:
                        line_idx += 1
            if line_idx >= len(_lowerCAmelCase		):
                  continue

            # Ignore beginning and last line: they don't contain anything.
            snake_case__  :    List[str]    						=      """\n""".join(block_lines[line_idx:-1]		)
            snake_case__  :    str    						=      get_indent(block_lines[1]		)
            # Slit the internal block into blocks of indent level 1.
            snake_case__  :    Optional[int]    						=      split_code_in_indented_blocks(_lowerCAmelCase     ,   indent_level=_lowerCAmelCase		)
            # We have two categories of import key: list or _import_structure[key].append/extend
            snake_case__  :    Tuple    						=      _re_direct_key if """_import_structure = {""" in block_lines[0] else _re_indirect_key
            # Grab the keys, but there is a trap: some lines are empty or just comments.
            snake_case__  :    Optional[Any]    						=      [(pattern.search(_lowerCAmelCase		).groups()[0] if pattern.search(_lowerCAmelCase		) is not None else None) for b in internal_blocks]
            # We only sort the lines with a key.
            snake_case__  :    Dict    						=      [(i, key) for i, key in enumerate(_lowerCAmelCase		) if key is not None]
            snake_case__  :    Union[str, Any]    						=      [x[0] for x in sorted(_lowerCAmelCase     ,   key=lambda _lowerCAmelCase		: x[1]		)]

            # We reorder the blocks by leaving empty lines/comments as they were and reorder the rest.
            snake_case__  :    List[Any]    						=      0
            snake_case__  :    Optional[Any]    						=      []
            for i in range(len(_lowerCAmelCase		)		):
                  if keys[i] is None:
                        reorderded_blocks.append(internal_blocks[i]		)
                  else:
                        snake_case__  :    Optional[Any]    						=      sort_objects_in_import(internal_blocks[sorted_indices[count]]		)
                        reorderded_blocks.append(_lowerCAmelCase		)
                        count += 1

        # And we put our main block back together with its first and last line.
            snake_case__  :    Dict    						=      """\n""".join(block_lines[:line_idx] + reorderded_blocks + [block_lines[-1]]		)

      if code != "\n".join(_lowerCAmelCase		):
            if check_only:
                  return True
            else:
                  print(f"Overwriting {file}."		)
                  with open(_lowerCAmelCase     ,   """w"""     ,   encoding="""utf-8"""		) as f:
                        f.write("""\n""".join(_lowerCAmelCase		)		)





def 						__snake_case(				_lowerCAmelCase=True		)		-> Tuple:
      snake_case__  :    str    						=      []
      for root, _, files in os.walk(_lowerCAmelCase		):
            if "__init__.py" in files:
                  snake_case__  :    Union[str, Any]    						=      sort_imports(os.path.join(_lowerCAmelCase     ,   """__init__.py"""		)     ,   check_only=_lowerCAmelCase		)
                  if result:
                        snake_case__  :    Union[str, Any]    						=      [os.path.join(_lowerCAmelCase     ,   """__init__.py"""		)]
      if len(_lowerCAmelCase		) > 0:
            raise ValueError(f"Would overwrite {len(_lowerCAmelCase		)} files, run `make style`."		)


if __name__ == "__main__":
       __a          =		argparse.ArgumentParser()
       parser.add_argument("--check_only", action="store_true", help="Whether to only check or fix style.")
       __a          =		parser.parse_args()

       sort_imports_in_all_inits(check_only=args.check_only)




'''simple docstring'''

import argparse

import torch

from transformers import BertForMaskedLM


if __name__ == "__main__":
 lowerCamelCase							:   List[str]  						=	argparse.ArgumentParser(
     description=(
         'Extraction some layers of the full BertForMaskedLM or RObertaForMaskedLM for Transfer Learned'
         ' Distillation'
     )
 )
 parser.add_argument('--model_type', default='bert', choices=['bert'])
 parser.add_argument('--model_name', default='bert-base-uncased', type=str)
 parser.add_argument('--dump_checkpoint', default='serialization_dir/tf_bert-base-uncased_0247911.pth', type=str)
 parser.add_argument('--vocab_transform', action='store_true')
 lowerCamelCase							:   str  						=	parser.parse_args()

 if args.model_type == "bert":
  lowerCamelCase							:   List[Any]  						=	BertForMaskedLM.from_pretrained(args.model_name)
  lowerCamelCase							:   Any  						=	'bert'
 else:
  raise ValueError('args.model_type should be "bert".')

 lowerCamelCase							:   int  						=	model.state_dict()
 lowerCamelCase							:   int  						=	{}

 for w in ["word_embeddings", "position_embeddings"]:
  lowerCamelCase							:   Any  						=	state_dict[f"""{prefix}.embeddings.{w}.weight"""]
 for w in ["weight", "bias"]:
  lowerCamelCase							:   Any  						=	state_dict[f"""{prefix}.embeddings.LayerNorm.{w}"""]

 lowerCamelCase							:   Tuple  						=	0
 for teacher_idx in [0, 2, 4, 7, 9, 11]:
  for w in ["weight", "bias"]:
   lowerCamelCase							:   Dict  						=	state_dict[
       f"""{prefix}.encoder.layer.{teacher_idx}.attention.self.query.{w}"""
   ]
   lowerCamelCase							:   Dict  						=	state_dict[
       f"""{prefix}.encoder.layer.{teacher_idx}.attention.self.key.{w}"""
   ]
   lowerCamelCase							:   List[Any]  						=	state_dict[
       f"""{prefix}.encoder.layer.{teacher_idx}.attention.self.value.{w}"""
   ]

   lowerCamelCase							:   Tuple  						=	state_dict[
       f"""{prefix}.encoder.layer.{teacher_idx}.attention.output.dense.{w}"""
   ]
   lowerCamelCase							:   Optional[int]  						=	state_dict[
       f"""{prefix}.encoder.layer.{teacher_idx}.attention.output.LayerNorm.{w}"""
   ]

   lowerCamelCase							:   Optional[Any]  						=	state_dict[
       f"""{prefix}.encoder.layer.{teacher_idx}.intermediate.dense.{w}"""
   ]
   lowerCamelCase							:   Dict  						=	state_dict[
       f"""{prefix}.encoder.layer.{teacher_idx}.output.dense.{w}"""
   ]
   lowerCamelCase							:   Any  						=	state_dict[
       f"""{prefix}.encoder.layer.{teacher_idx}.output.LayerNorm.{w}"""
   ]
  std_idx += 1

 lowerCamelCase							:   Optional[int]  						=	state_dict['cls.predictions.decoder.weight']
 lowerCamelCase							:   str  						=	state_dict['cls.predictions.bias']
 if args.vocab_transform:
  for w in ["weight", "bias"]:
   lowerCamelCase							:   str  						=	state_dict[f"""cls.predictions.transform.dense.{w}"""]
   lowerCamelCase							:   Any  						=	state_dict[f"""cls.predictions.transform.LayerNorm.{w}"""]

 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)




