



'''simple docstring'''






# 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_     (					_lowerCAmelCase  :						Optional[int]   ,      _lowerCAmelCase  :						Union[str, Any]   ,      _lowerCAmelCase  :						Any   ,      _lowerCAmelCase  :						Any  )      ->   Any:
							UpperCAmelCase :       Dict 							=		multiprocessing.Manager()
							UpperCAmelCase :       Dict 							=		manager.list()

							UpperCAmelCase :       int 							=		multiprocessing.Process(target=_lowerCAmelCase   ,      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_     (					_lowerCAmelCase  :						List[str]   ,      _lowerCAmelCase  :						int   ,      _lowerCAmelCase  :						List[str]  )      ->   Optional[int]:

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

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

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

														# Run program.
														try:
																					UpperCAmelCase :       List[str] 							=		{}
																					with swallow_io():
																												with time_limit(_lowerCAmelCase  ):
																																			exec(_lowerCAmelCase   ,      _lowerCAmelCase  )
																					result.append('''passed'''  )
														except TimeoutException:
																					result.append('''timed out'''  )
														except BaseException as e:
																					result.append(f"""failed: {e}"""  )

														# Needed for cleaning up.
														UpperCAmelCase :       Union[str, Any] 							=		rmtree
														UpperCAmelCase :       Optional[Any] 							=		rmdir
														UpperCAmelCase :       List[Any] 							=		chdir


@contextlib.contextmanager
def  snake_case_     (					_lowerCAmelCase  :						Any  )      ->   str:

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

							signal.setitimer(signal.ITIMER_REAL   ,      _lowerCAmelCase  )
							signal.signal(signal.SIGALRM   ,      _lowerCAmelCase  )
							try:
														yield
							finally:
														signal.setitimer(signal.ITIMER_REAL   ,      0  )


@contextlib.contextmanager
def  snake_case_     (					)      ->   str:
							UpperCAmelCase :       Dict 							=		WriteOnlyStringIO()
							with contextlib.redirect_stdout(_lowerCAmelCase  ):
														with contextlib.redirect_stderr(_lowerCAmelCase  ):
																					with redirect_stdin(_lowerCAmelCase  ):
																												yield


@contextlib.contextmanager
def  snake_case_     (					)      ->   List[Any]:

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

class 				SCREAMING_SNAKE_CASE(							_SCREAMING_SNAKE_CASE			):







	"""simple docstring"""






	pass

class 				SCREAMING_SNAKE_CASE(							io.StringIO			):







	"""simple docstring"""






	def      A	(						self			:     Any		,			*__snake_case			:     Optional[int]		,			**__snake_case			:     Dict		)			->		Union[str, Any]:
								raise OSError







	def      A	(						self			:     Optional[Any]		,			*__snake_case			:     List[Any]		,			**__snake_case			:     int		)			->		Tuple:
								raise OSError







	def      A	(						self			:     Dict		,			*__snake_case			:     Tuple		,			**__snake_case			:     Optional[int]		)			->		int:
								raise OSError







	def      A	(						self			:     List[str]		,			*__snake_case			:     str		,			**__snake_case			:     List[str]		)			->		List[Any]:
								return False

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







	"""simple docstring"""






	lowerCamelCase__			 =       "stdin"


@contextlib.contextmanager
def  snake_case_     (					_lowerCAmelCase  :						Optional[int]  )      ->   Optional[int]:

							if root == ".":
														yield
														return
							UpperCAmelCase :       Union[str, Any] 							=		os.getcwd()
							os.chdir(_lowerCAmelCase  )
							try:
														yield
							except BaseException as exc:
														raise exc
							finally:
														os.chdir(_lowerCAmelCase  )




def  snake_case_     (					_lowerCAmelCase  :						Union[str, Any]=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 :       Optional[int] 							=		None
							UpperCAmelCase :       Union[str, Any] 							=		None

							import os

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

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

							import shutil

							UpperCAmelCase :       int 							=		None
							UpperCAmelCase :       List[str] 							=		None
							UpperCAmelCase :       Dict 							=		None

							import subprocess

							UpperCAmelCase :       str 							=		None  # type: ignore

							UpperCAmelCase :       Union[str, Any] 							=		None

							import sys

							UpperCAmelCase :       Tuple 							=		None
							UpperCAmelCase :       Any 							=		None
							UpperCAmelCase :       str 							=		None
							UpperCAmelCase :       Tuple 							=		None
							UpperCAmelCase :       int 							=		None







from ...configuration_utils import PretrainedConfig
from ...utils import logging


_UpperCAmelCase					: Union[str, Any]      =       logging.get_logger(__name__)

_UpperCAmelCase					: List[str]      =       {
    "EleutherAI/gpt-neox-20b": "https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/config.json",
    # See all GPTNeoX models at https://huggingface.co/models?filter=gpt_neox
}


class 				lowercase					(		_SCREAMING_SNAKE_CASE   ):
		__lowercase       :       List[str]	     =				"gpt_neox"



		def __init__( self				,      A_=50_432				,      A_=6_144				,      A_=44				,      A_=64				,      A_=24_576				,      A_="gelu"				,      A_=0.25				,      A_=10_000				,      A_=0.0				,      A_=0.0				,      A_=0.1				,      A_=2_048				,      A_=0.02				,      A_=1e-5				,      A_=True				,      A_=0				,      A_=2				,      A_=False				,      A_=True				,      A_=None				,      **A_				,      )  ->					Tuple:
				"""simple docstring"""
				super().__init__(bos_token_id=A_				,      eos_token_id=A_				,      **A_       )
				UpperCamelCase		=     vocab_size
				UpperCamelCase		=     max_position_embeddings
				UpperCamelCase		=     hidden_size
				UpperCamelCase		=     num_hidden_layers
				UpperCamelCase		=     num_attention_heads
				UpperCamelCase		=     intermediate_size
				UpperCamelCase		=     hidden_act
				UpperCamelCase		=     rotary_pct
				UpperCamelCase		=     rotary_emb_base
				UpperCamelCase		=     attention_dropout
				UpperCamelCase		=     hidden_dropout
				UpperCamelCase		=     classifier_dropout
				UpperCamelCase		=     initializer_range
				UpperCamelCase		=     layer_norm_eps
				UpperCamelCase		=     use_cache
				UpperCamelCase		=     tie_word_embeddings
				UpperCamelCase		=     use_parallel_residual
				UpperCamelCase		=     rope_scaling
				self._rope_scaling_validation()

				if self.hidden_size % self.num_attention_heads != 0:
						raise ValueError(
						    'The hidden size is not divisble by the number of attention heads! Make sure to update them!'       )



		def __UpperCamelCase ( self       )  ->					Tuple:
				"""simple docstring"""
				if self.rope_scaling is None:
						return

				if not isinstance(self.rope_scaling				,      A_       ) or len(self.rope_scaling       ) != 2:
						raise ValueError(
						    '`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, '
						    F'''got {self.rope_scaling}'''       )
				UpperCamelCase		=     self.rope_scaling.get('type'				,      A_       )
				UpperCamelCase		=     self.rope_scaling.get('factor'				,      A_       )
				if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
						raise ValueError(
						    F'''`rope_scaling`\'s name field must be one of [\'linear\', \'dynamic\'], got {rope_scaling_type}'''       )
				if rope_scaling_factor is None or not isinstance(A_				,      A_       ) or rope_scaling_factor <= 1.0:
						raise ValueError(F'''`rope_scaling`\'s factor field must be an float > 1, got {rope_scaling_factor}'''       )
