from importlib import import_module

from .logging import get_logger


lowerCamelCase_    :		Optional[int]							=	get_logger(__name__)


class 						a__							:



			def __init__(						self				,						UpperCAmelCase				,						UpperCAmelCase=None   )			->   Dict:
								__a		 =       attrs or []
								if module is not None:
													for key in module.__dict__:
																		if key in attrs or not key.startswith('__'   ):
																							setattr(self				,						UpperCAmelCase				,						getattr(UpperCAmelCase				,						UpperCAmelCase   )   )
								__a		 =       module._original_module if isinstance(UpperCAmelCase				,						_PatchedModuleObj   ) else module






class 						a__							:
			A__    :       str        =      []



			def __init__(						self				,						UpperCAmelCase				,						UpperCAmelCase				,						UpperCAmelCase				,						UpperCAmelCase=None   )			->   int:
								__a		 =       obj
								__a		 =       target
								__a		 =       new
								__a		 =       target.split('.'   )[0]
								__a		 =       {}
								__a		 =       attrs or []



			def __enter__(						self   )			->   List[str]:
								*__a ,				__a		 =       self.target.split('.'   )

								# Patch modules:
								# it's used to patch attributes of submodules like "os.path.join";
								# in this case we need to patch "os" and "os.path"

								for i in range(len(UpperCAmelCase   )   ):
													try:
																		__a		 =       import_module('.'.join(submodules[: i + 1]   )   )
													except ModuleNotFoundError:
																		continue
													# We iterate over all the globals in self.obj in case we find "os" or "os.path"
													for attr in self.obj.__dir__():
																		__a		 =       getattr(self.obj				,						UpperCAmelCase   )
																		# We don't check for the name of the global, but rather if its value *is* "os" or "os.path".
																		# This allows to patch renamed modules like "from os import path as ospath".
																		if obj_attr is submodule or (
																		    (isinstance(UpperCAmelCase				,						_PatchedModuleObj   ) and obj_attr._original_module is submodule)
																		):
																							__a		 =       obj_attr
																							# patch at top level
																							setattr(self.obj				,						UpperCAmelCase				,						_PatchedModuleObj(UpperCAmelCase				,						attrs=self.attrs   )   )
																							__a		 =       getattr(self.obj				,						UpperCAmelCase   )
																							# construct lower levels patches
																							for key in submodules[i + 1 :]:
																												setattr(UpperCAmelCase				,						UpperCAmelCase				,						_PatchedModuleObj(getattr(UpperCAmelCase				,						UpperCAmelCase				,						UpperCAmelCase   )				,						attrs=self.attrs   )   )
																												__a		 =       getattr(UpperCAmelCase				,						UpperCAmelCase   )
																							# finally set the target attribute
																							setattr(UpperCAmelCase				,						UpperCAmelCase				,						self.new   )

        # Patch attribute itself:
        # it's used for builtins like "open",
        # and also to patch "os.path.join" we may also need to patch "join"
        # itself if it was imported as "from os.path import join".

								if submodules:  # if it's an attribute of a submodule like "os.path.join"
													try:
																		__a		 =       getattr(import_module('.'.join(UpperCAmelCase   )   )				,						UpperCAmelCase   )
													except (AttributeError, ModuleNotFoundError):
																		return
													# We iterate over all the globals in self.obj in case we find "os.path.join"
													for attr in self.obj.__dir__():
																		# We don't check for the name of the global, but rather if its value *is* "os.path.join".
																		# This allows to patch renamed attributes like "from os.path import join as pjoin".
																		if getattr(self.obj				,						UpperCAmelCase   ) is attr_value:
																							__a		 =       getattr(self.obj				,						UpperCAmelCase   )
																							setattr(self.obj				,						UpperCAmelCase				,						self.new   )
								elif target_attr in globals()["__builtins__"]:  # if it'a s builtin like "open"
													__a		 =       globals()['__builtins__'][target_attr]
													setattr(self.obj				,						UpperCAmelCase				,						self.new   )
								else:
													raise RuntimeError(f'''Tried to patch attribute {target_attr} instead of a submodule.'''   )



			def __exit__(						self				,						*UpperCAmelCase   )			->   Optional[int]:
								for attr in list(self.original   ):
													setattr(self.obj				,						UpperCAmelCase				,						self.original.pop(UpperCAmelCase   )   )



			def __SCREAMING_SNAKE_CASE							(						self   )			->   List[Any]:
								self.__enter__()
								self._active_patches.append(self   )







			def __SCREAMING_SNAKE_CASE							(						self   )			->   Union[str, Any]:
								try:
													self._active_patches.remove(self   )
								except ValueError:
													# If the patch hasn't been started this will fail
													return None

								return self.__exit__()






from typing import TYPE_CHECKING

from ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable


lowerCamelCase_    :		Union[str, Any]							=	{"""configuration_gpt_neox""": ["""GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTNeoXConfig"""]}

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCamelCase_    :		Union[str, Any]							=	["""GPTNeoXTokenizerFast"""]

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCamelCase_    :		List[str]							=	[
	    """GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """GPTNeoXForCausalLM""",
	    """GPTNeoXForQuestionAnswering""",
	    """GPTNeoXForSequenceClassification""",
	    """GPTNeoXForTokenClassification""",
	    """GPTNeoXLayer""",
	    """GPTNeoXModel""",
	    """GPTNeoXPreTrainedModel""",
	]


if TYPE_CHECKING:
	from .configuration_gpt_neox import GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXConfig

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_gpt_neox_fast import GPTNeoXTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_gpt_neox import (
		    GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST,
		    GPTNeoXForCausalLM,
		    GPTNeoXForQuestionAnswering,
		    GPTNeoXForSequenceClassification,
		    GPTNeoXForTokenClassification,
		    GPTNeoXLayer,
		    GPTNeoXModel,
		    GPTNeoXPreTrainedModel,
		)


else:
	import sys

	lowerCamelCase_    :		Dict							=	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




