



# 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 		UpperCamelCase     (       snake_case__	:   List[str]	,					snake_case__	:   Dict	,					snake_case__	:   List[str]	,					snake_case__	:   Optional[Any]     )     ->					Optional[int]:
   UpperCamelCase   :  str						     =     multiprocessing.Manager()
   UpperCamelCase   :  List[str]						     =     manager.list()

   UpperCamelCase   :  List[Any]						     =     multiprocessing.Process(target=snake_case__	,					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 		UpperCamelCase     (       snake_case__	:   Optional[int]	,					snake_case__	:   Dict	,					snake_case__	:   Any     )     ->					Tuple:

   with create_tempdir():
      # These system calls are needed when cleaning up tempdir.
      import os
      import shutil

      UpperCamelCase   :  List[Any]						     =     shutil.rmtree
      UpperCamelCase   :  List[str]						     =     os.rmdir
      UpperCamelCase   :  List[Any]						     =     os.chdir

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

      # Run program.
      try:
         UpperCamelCase   :  Any						     =     {}
         with swallow_io():
            with time_limit(snake_case__     ):
               exec(snake_case__	,					snake_case__     )
         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   :  Dict						     =     rmdir
      UpperCamelCase   :  Optional[int]						     =     chdir
@contextlib.contextmanager
def 		UpperCamelCase     (       snake_case__	:   Optional[int]     )     ->					str:

   def signal_handler(snake_case__	:   List[str]	,					snake_case__	:   Any     ):
      raise TimeoutException('Timed out!'     )

   signal.setitimer(signal.ITIMER_REAL	,					snake_case__     )
   signal.signal(signal.SIGALRM	,					snake_case__     )
   try:
      yield
   finally:
      signal.setitimer(signal.ITIMER_REAL	,					0     )
@contextlib.contextmanager
def 		UpperCamelCase     (       )     ->					List[str]:
   UpperCamelCase   :  Optional[Any]						     =     WriteOnlyStringIO()
   with contextlib.redirect_stdout(snake_case__     ):
      with contextlib.redirect_stderr(snake_case__     ):
         with redirect_stdin(snake_case__     ):
            yield
@contextlib.contextmanager
def 		UpperCamelCase     (       )     ->					int:

   with tempfile.TemporaryDirectory() as dirname:
      with chdir(snake_case__     ):
         yield dirname





class     lowerCAmelCase_		(  _SCREAMING_SNAKE_CASE							):
       pass






class     lowerCAmelCase_		(  io.StringIO							):
       def  snake_case_	(      self,      *SCREAMING_SNAKE_CASE_,      **SCREAMING_SNAKE_CASE_	)					->		int:
          raise OSError
       def  snake_case_	(      self,      *SCREAMING_SNAKE_CASE_,      **SCREAMING_SNAKE_CASE_	)					->		Union[str, Any]:
          raise OSError
       def  snake_case_	(      self,      *SCREAMING_SNAKE_CASE_,      **SCREAMING_SNAKE_CASE_	)					->		Tuple:
          raise OSError






       def  snake_case_	(      self,      *SCREAMING_SNAKE_CASE_,      **SCREAMING_SNAKE_CASE_	)					->		Any:
          return False






class     lowerCAmelCase_		(  contextlib._RedirectStream							):  # type: ignore
       UpperCAmelCase__    : Tuple       					=  "stdin"






@contextlib.contextmanager
def 		UpperCamelCase     (       snake_case__	:   Union[str, Any]     )     ->					Dict:

   if root == ".":
      yield
      return
   UpperCamelCase   :  Optional[int]						     =     os.getcwd()
   os.chdir(snake_case__     )
   try:
      yield
   except BaseException as exc:
      raise exc
   finally:
      os.chdir(snake_case__     )


def 		UpperCamelCase     (       snake_case__	:   Optional[int]=None     )     ->					Union[str, Any]:

   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   :  str						     =     None
   UpperCamelCase   :  Any						     =     None

   import os

   UpperCamelCase   :  str						     =     '1'

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

   import shutil

   UpperCamelCase   :  Optional[Any]						     =     None
   UpperCamelCase   :  int						     =     None
   UpperCamelCase   :  int						     =     None

   import subprocess

   UpperCamelCase   :  Dict						     =     None  # type: ignore

   UpperCamelCase   :  Optional[Any]						     =     None

   import sys

   UpperCamelCase   :  Optional[Any]						     =     None
   UpperCamelCase   :  int						     =     None
   UpperCamelCase   :  List[str]						     =     None
   UpperCamelCase   :  str						     =     None
   UpperCamelCase   :  List[Any]						     =     None








import argparse
import shlex

import runhouse as rh


if __name__ == "__main__":
    # Refer to https://runhouse-docs.readthedocs-hosted.com/en/latest/api/python/cluster.html#hardware-setup for cloud access
    # setup instructions, if using on-demand hardware

    # If user passes --user <user> --host <host> --key_path <key_path> <example> <args>, fill them in as BYO cluster
    # If user passes --instance <instance> --provider <provider> <example> <args>, fill them in as on-demand cluster
    # Throw an error if user passes both BYO and on-demand cluster args
    # Otherwise, use default values
    __UpperCAmelCase	       =	argparse.ArgumentParser()
    parser.add_argument('''--user''', type=str, default='''ubuntu''')
    parser.add_argument('''--host''', type=str, default='''localhost''')
    parser.add_argument('''--key_path''', type=str, default=None)
    parser.add_argument('''--instance''', type=str, default='''V100:1''')
    parser.add_argument('''--provider''', type=str, default='''cheapest''')
    parser.add_argument('''--use_spot''', type=bool, default=False)
    parser.add_argument('''--example''', type=str, default='''pytorch/text-generation/run_generation.py''')
    __UpperCAmelCase       ,  __UpperCAmelCase	       =	parser.parse_known_args()
    if args.host != "localhost":
        if args.instance != "V100:1" or args.provider != "cheapest":
            raise ValueError('''Cannot specify both BYO and on-demand cluster args''')
        __UpperCAmelCase	       =	rh.cluster(
            name='''rh-cluster''', ips=[args.host], ssh_creds={'''ssh_user''': args.user, '''ssh_private_key''': args.key_path}
        )
    else:
        __UpperCAmelCase	       =	rh.cluster(
            name='''rh-cluster''', instance_type=args.instance, provider=args.provider, use_spot=args.use_spot
        )
    __UpperCAmelCase	       =	args.example.rsplit('''/''', 1)[0]

    # Set up remote environment
    cluster.install_packages(['''pip:./'''])  # Installs transformers from local source
    # Note transformers is copied into the home directory on the remote machine, so we can install from there
    cluster.run([F"""pip install -r transformers/examples/{example_dir}/requirements.txt"""])
    cluster.run(['''pip install torch --upgrade --extra-index-url https://download.pytorch.org/whl/cu117'''])

    # Run example. You can bypass the CLI wrapper and paste your own code here.
    cluster.run([F"""python transformers/examples/{args.example} {" ".join(shlex.quote(arg) for arg in unknown)}"""])

    # Alternatively, we can just import and run a training function (especially if there's no wrapper CLI):
    # from my_script... import train
    # reqs = ['pip:./', 'torch', 'datasets', 'accelerate', 'evaluate', 'tqdm', 'scipy', 'scikit-learn', 'tensorboard']
    # launch_train_gpu = rh.function(fn=train,
    #                                system=gpu,
    #                                reqs=reqs,
    #                                name='train_bert_glue')
    #
    # We can pass in arguments just like we would to a function:
    # launch_train_gpu(num_epochs = 3, lr = 2e-5, seed = 42, batch_size = 16
    #                  stream_logs=True)



