


import argparse
import os

import numpy as np
import tensorflow as tf
import torch

from transformers import BertModel
def      snake_case_						( __lowercase			,       __lowercase			,       __lowercase       ):
   UpperCAmelCase_							:      int						=   ('dense.weight', 'attention.self.query', 'attention.self.key', 'attention.self.value')

   UpperCAmelCase_							:      List[Any]						=   (
       ('layer.', 'layer_'),
       ('word_embeddings.weight', 'word_embeddings'),
       ('position_embeddings.weight', 'position_embeddings'),
       ('token_type_embeddings.weight', 'token_type_embeddings'),
       ('.', '/'),
       ('LayerNorm/weight', 'LayerNorm/gamma'),
       ('LayerNorm/bias', 'LayerNorm/beta'),
       ('weight', 'kernel'),
   )

   if not os.path.isdir(__lowercase       ):
      os.makedirs(__lowercase       )

   UpperCAmelCase_							:      Union[str, Any]						=   model.state_dict()

   def to_tf_var_name(__lowercase       ):
      for patt, repl in iter(__lowercase       ):
         UpperCAmelCase_							:      Optional[Any]						=   name.replace(__lowercase			,       __lowercase       )
      return F'''bert/{name}'''

   def create_tf_var(__lowercase			,       __lowercase			,       __lowercase       ):
      UpperCAmelCase_							:      List[Any]						=   tf.dtypes.as_dtype(tensor.dtype       )
      UpperCAmelCase_							:      List[Any]						=   tf.get_variable(dtype=__lowercase			,       shape=tensor.shape			,       name=__lowercase			,       initializer=tf.zeros_initializer()       )
      session.run(tf.variables_initializer([tf_var]       )       )
      session.run(__lowercase       )
      return tf_var

   tf.reset_default_graph()
   with tf.Session() as session:
      for var_name in state_dict:
         UpperCAmelCase_							:      Optional[Any]						=   to_tf_var_name(__lowercase       )
         UpperCAmelCase_							:      List[Any]						=   state_dict[var_name].numpy()
         if any(x in var_name for x in tensors_to_transpose       ):
            UpperCAmelCase_							:      Any						=   torch_tensor.T
         UpperCAmelCase_							:      int						=   create_tf_var(tensor=__lowercase			,       name=__lowercase			,       session=__lowercase       )
         tf.keras.backend.set_value(__lowercase			,       __lowercase       )
         UpperCAmelCase_							:      List[Any]						=   session.run(__lowercase       )
         print(F'''Successfully created {tf_name}: {np.allclose(__lowercase			,       __lowercase       )}'''       )

      UpperCAmelCase_							:      Optional[int]						=   tf.train.Saver(tf.trainable_variables()       )
      saver.save(__lowercase			,       os.path.join(__lowercase			,       model_name.replace('''-'''			,       '''_'''       ) + '''.ckpt'''       )       )
def      snake_case_						( __lowercase=None       ):
   UpperCAmelCase_							:      int						=   argparse.ArgumentParser()
   parser.add_argument('''--model_name'''			,       type=__lowercase			,       required=__lowercase			,       help='''model name e.g. bert-base-uncased'''       )
   parser.add_argument(
       '''--cache_dir'''			,       type=__lowercase			,       default=__lowercase			,       required=__lowercase			,       help='''Directory containing pytorch model'''       )
   parser.add_argument('''--pytorch_model_path'''			,       type=__lowercase			,       required=__lowercase			,       help='''/path/to/<pytorch-model-name>.bin'''       )
   parser.add_argument('''--tf_cache_dir'''			,       type=__lowercase			,       required=__lowercase			,       help='''Directory in which to save tensorflow model'''       )
   UpperCAmelCase_							:      Tuple						=   parser.parse_args(__lowercase       )

   UpperCAmelCase_							:      Optional[int]						=   BertModel.from_pretrained(
       pretrained_model_name_or_path=args.model_name			,       state_dict=torch.load(args.pytorch_model_path       )			,       cache_dir=args.cache_dir			,       )

   convert_pytorch_checkpoint_to_tf(model=__lowercase			,       ckpt_dir=args.tf_cache_dir			,       model_name=args.model_name       )


if __name__ == "__main__":
       main()



# This code is adapted from OpenAI's release
# https://github.com/openai/human-eval/blob/master/human_eval/execution.py

import contextlib
import faulthandler
import io
import multiprocessing
import os
import platform
import signal
import tempfile
def      snake_case_						( __lowercase			,       __lowercase			,       __lowercase			,       __lowercase       ):
   UpperCAmelCase_							:      int						=   multiprocessing.Manager()
   UpperCAmelCase_							:      Union[str, Any]						=   manager.list()

   UpperCAmelCase_							:      int						=   multiprocessing.Process(target=__lowercase			,       args=(check_program, result, timeout)       )
   p.start()
   p.join(timeout=timeout + 1       )
   if p.is_alive():
      p.kill()

   if not result:
      result.append('''timed out'''       )

   return {
       "task_id": task_id,
       "passed": result[0] == "passed",
       "result": result[0],
       "completion_id": completion_id,
   }
def      snake_case_						( __lowercase			,       __lowercase			,       __lowercase       ):
   with create_tempdir():
      # These system calls are needed when cleaning up tempdir.
      import os
      import shutil

      UpperCAmelCase_							:      str						=   shutil.rmtree
      UpperCAmelCase_							:      Tuple						=   os.rmdir
      UpperCAmelCase_							:      Dict						=   os.chdir

      # Disable functionalities that can make destructive changes to the test.
      reliability_guard()

      # Run program.
      try:
         UpperCAmelCase_							:      Optional[int]						=   {}
         with swallow_io():
            with time_limit(__lowercase       ):
               exec(__lowercase			,       __lowercase       )
         result.append('''passed'''       )
      except TimeoutException:
         result.append('''timed out'''       )
      except BaseException as e:
         result.append(F'''failed: {e}'''       )

      # Needed for cleaning up.
      UpperCAmelCase_							:      Optional[int]						=   rmtree
      UpperCAmelCase_							:      Optional[Any]						=   rmdir
      UpperCAmelCase_							:      Optional[Any]						=   chdir
@contextlib.contextmanager
def      snake_case_						( __lowercase       ):
   def signal_handler(__lowercase			,       __lowercase       ):
      raise TimeoutException('''Timed out!'''       )

   signal.setitimer(signal.ITIMER_REAL			,       __lowercase       )
   signal.signal(signal.SIGALRM			,       __lowercase       )
   try:
      yield
   finally:
      signal.setitimer(signal.ITIMER_REAL			,       0       )
@contextlib.contextmanager
def      snake_case_						( ):
   UpperCAmelCase_							:      Optional[Any]						=   WriteOnlyStringIO()
   with contextlib.redirect_stdout(__lowercase       ):
      with contextlib.redirect_stderr(__lowercase       ):
         with redirect_stdin(__lowercase       ):
            yield
@contextlib.contextmanager
def      snake_case_						( ):
   with tempfile.TemporaryDirectory() as dirname:
      with chdir(__lowercase       ):
         yield dirname





class  lowerCAmelCase__(    snake_case__						):






    '''simple docstring'''





    pass





class  lowerCAmelCase__(    io.StringIO						):






    '''simple docstring'''





    def 					_lowerCamelCase (	self				:   Dict       ,   *__snake_case				:   List[Any]       ,   **__snake_case				:   int	):





       '''simple docstring'''
       raise OSError





    def 					_lowerCamelCase (	self				:   Dict       ,   *__snake_case				:   int       ,   **__snake_case				:   Any	):





       '''simple docstring'''
       raise OSError





    def 					_lowerCamelCase (	self				:   int       ,   *__snake_case				:   List[str]       ,   **__snake_case				:   Optional[Any]	):





       '''simple docstring'''
       raise OSError





    def 					_lowerCamelCase (	self				:   Union[str, Any]       ,   *__snake_case				:   Optional[Any]       ,   **__snake_case				:   List[Any]	):





       '''simple docstring'''
       return False





class  lowerCAmelCase__(    contextlib._RedirectStream						):  # type: ignore






    '''simple docstring'''





    A_  :     Optional[Any]			= 'stdin'





@contextlib.contextmanager
def      snake_case_						( __lowercase       ):
   if root == ".":
      yield
      return
   UpperCAmelCase_							:      Tuple						=   os.getcwd()
   os.chdir(__lowercase       )
   try:
      yield
   except BaseException as exc:
      raise exc
   finally:
      os.chdir(__lowercase       )


def      snake_case_						( __lowercase=None       ):

   if maximum_memory_bytes is not None:
      import resource

      resource.setrlimit(resource.RLIMIT_AS			,       (maximum_memory_bytes, maximum_memory_bytes)       )
      resource.setrlimit(resource.RLIMIT_DATA			,       (maximum_memory_bytes, maximum_memory_bytes)       )
      if not platform.uname().system == "Darwin":
         resource.setrlimit(resource.RLIMIT_STACK			,       (maximum_memory_bytes, maximum_memory_bytes)       )

   faulthandler.disable()

   import builtins

   UpperCAmelCase_							:      Any						=   None
   UpperCAmelCase_							:      Any						=   None

   import os

   UpperCAmelCase_							:      Union[str, Any]						=   '''1'''

   UpperCAmelCase_							:      List[str]						=   None
   UpperCAmelCase_							:      Dict						=   None
   UpperCAmelCase_							:      Any						=   None
   UpperCAmelCase_							:      Optional[int]						=   None
   UpperCAmelCase_							:      List[str]						=   None
   UpperCAmelCase_							:      List[Any]						=   None
   UpperCAmelCase_							:      Union[str, Any]						=   None
   UpperCAmelCase_							:      str						=   None
   UpperCAmelCase_							:      Dict						=   None
   UpperCAmelCase_							:      int						=   None
   UpperCAmelCase_							:      Dict						=   None
   UpperCAmelCase_							:      List[Any]						=   None
   UpperCAmelCase_							:      List[Any]						=   None
   UpperCAmelCase_							:      Optional[Any]						=   None
   UpperCAmelCase_							:      Optional[Any]						=   None
   UpperCAmelCase_							:      Dict						=   None
   UpperCAmelCase_							:      Optional[Any]						=   None
   UpperCAmelCase_							:      Optional[Any]						=   None
   UpperCAmelCase_							:      Optional[Any]						=   None
   UpperCAmelCase_							:      List[Any]						=   None
   UpperCAmelCase_							:      int						=   None
   UpperCAmelCase_							:      Union[str, Any]						=   None
   UpperCAmelCase_							:      List[Any]						=   None
   UpperCAmelCase_							:      Dict						=   None
   UpperCAmelCase_							:      Union[str, Any]						=   None
   UpperCAmelCase_							:      Dict						=   None
   UpperCAmelCase_							:      Any						=   None

   import shutil

   UpperCAmelCase_							:      Union[str, Any]						=   None
   UpperCAmelCase_							:      Dict						=   None
   UpperCAmelCase_							:      Tuple						=   None

   import subprocess

   UpperCAmelCase_							:      Dict						=   None  # type: ignore

   UpperCAmelCase_							:      Union[str, Any]						=   None

   import sys

   UpperCAmelCase_							:      Optional[Any]						=   None
   UpperCAmelCase_							:      List[Any]						=   None
   UpperCAmelCase_							:      List[Any]						=   None
   UpperCAmelCase_							:      List[str]						=   None
   UpperCAmelCase_							:      Dict						=   None