





"""simple docstring"""




from typing import TYPE_CHECKING

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


UpperCamelCase_									={"""configuration_gpt_neox""": ["""GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTNeoXConfig"""]}

try:
						if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase_									=["""GPTNeoXTokenizerFast"""]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase_									=[
						    """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

						UpperCamelCase_									=_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)










"""simple docstring"""




import warnings

from diffusers import StableDiffusionInpaintPipeline as StableDiffusionInpaintPipeline  # noqa F401


warnings.warn(
    """The `inpainting.py` script is outdated. Please use directly `from diffusers import"""
    """ StableDiffusionInpaintPipeline` instead."""
)



