"""simple docstring"""





import os
import shutil
from pathlib import Path
from typing import Optional, Union

import numpy as np
from huggingface_hub import hf_hub_download

from ..utils import ONNX_EXTERNAL_WEIGHTS_NAME, ONNX_WEIGHTS_NAME, is_onnx_available, logging


if is_onnx_available():
				import onnxruntime as ort


__A  =				logging.get_logger(__name__)

__A  =				{
    '''tensor(bool)''': np.bool_,
    '''tensor(int8)''': np.inta,
    '''tensor(uint8)''': np.uinta,
    '''tensor(int16)''': np.intaa,
    '''tensor(uint16)''': np.uintaa,
    '''tensor(int32)''': np.intaa,
    '''tensor(uint32)''': np.uintaa,
    '''tensor(int64)''': np.intaa,
    '''tensor(uint64)''': np.uintaa,
    '''tensor(float16)''': np.floataa,
    '''tensor(float)''': np.floataa,
    '''tensor(double)''': np.floataa,
}
class  _snake_case     :






						def __init__(       self      :			str							,					UpperCAmelCase      :			str=None							,					**UpperCAmelCase      :			Optional[Any]    ):
													logger.info("`diffusers.OnnxRuntimeModel` is experimental and might change in the future."    )
													__lowerCamelCase					:		Optional[Any]		   =     model
													__lowerCamelCase					:		Optional[Any]		   =     kwargs.get("model_save_dir"							,					UpperCAmelCase    )
													__lowerCamelCase					:		List[str]		   =     kwargs.get("latest_model_name"							,					UpperCAmelCase    )






						def __call__(       self      :			str							,					**UpperCAmelCase      :			int    ):
													__lowerCamelCase					:		Optional[Any]		   =     {k: np.array(UpperCAmelCase    ) for k, v in kwargs.items()}
													return self.model.run(UpperCAmelCase							,					UpperCAmelCase    )






						@staticmethod
						def       lowerCamelCase__     (       UpperCAmelCase      :			Union[str, Path]							,					UpperCAmelCase      :			List[str]=None							,					UpperCAmelCase      :			Dict=None    ):
													if provider is None:
																				logger.info("No onnxruntime provider specified, using CPUExecutionProvider"    )
																				__lowerCamelCase					:		List[Any]		   =     "CPUExecutionProvider"

													return ort.InferenceSession(UpperCAmelCase							,					providers=[provider]							,					sess_options=UpperCAmelCase    )






						def       lowerCamelCase__     (       self      :			List[str]							,					UpperCAmelCase      :			Union[str, Path]							,					UpperCAmelCase      :			Optional[str] = None							,					**UpperCAmelCase      :			Tuple    ):
													__lowerCamelCase					:		str		   =     file_name if file_name is not None else ONNX_WEIGHTS_NAME

													__lowerCamelCase					:		Optional[Any]		   =     self.model_save_dir.joinpath(self.latest_model_name    )
													__lowerCamelCase					:		Optional[Any]		   =     Path(UpperCAmelCase    ).joinpath(UpperCAmelCase    )
													try:
																				shutil.copyfile(UpperCAmelCase							,					UpperCAmelCase    )
													except shutil.SameFileError:
																				pass

													# copy external weights (for models >2GB)
													__lowerCamelCase					:		Optional[int]		   =     self.model_save_dir.joinpath(UpperCAmelCase    )
													if src_path.exists():
																				__lowerCamelCase					:		Tuple		   =     Path(UpperCAmelCase    ).joinpath(UpperCAmelCase    )
																				try:
																											shutil.copyfile(UpperCAmelCase							,					UpperCAmelCase    )
																				except shutil.SameFileError:
																											pass






						def       lowerCamelCase__     (       self      :			List[str]							,					UpperCAmelCase      :			Union[str, os.PathLike]							,					**UpperCAmelCase      :			Any							,					):
													if os.path.isfile(UpperCAmelCase    ):
																				logger.error(F"""Provided path ({save_directory}) should be a directory, not a file"""    )
																				return

													os.makedirs(UpperCAmelCase							,					exist_ok=UpperCAmelCase    )

													# saving model weights/files
													self._save_pretrained(UpperCAmelCase							,					**UpperCAmelCase    )






						@classmethod
						def       lowerCamelCase__     (       cls      :			List[str]							,					UpperCAmelCase      :			Union[str, Path]							,					UpperCAmelCase      :			Optional[Union[bool, str, None]] = None							,					UpperCAmelCase      :			Optional[Union[str, None]] = None							,					UpperCAmelCase      :			bool = False							,					UpperCAmelCase      :			Optional[str] = None							,					UpperCAmelCase      :			Optional[str] = None							,					UpperCAmelCase      :			Optional[str] = None							,					UpperCAmelCase      :			Optional["ort.SessionOptions"] = None							,					**UpperCAmelCase      :			str							,					):
													__lowerCamelCase					:		str		   =     file_name if file_name is not None else ONNX_WEIGHTS_NAME
													# load model from local directory
													if os.path.isdir(UpperCAmelCase    ):
																				__lowerCamelCase					:		Union[str, Any]		   =     OnnxRuntimeModel.load_model(
																				    os.path.join(UpperCAmelCase							,					UpperCAmelCase    )							,					provider=UpperCAmelCase							,					sess_options=UpperCAmelCase    )
																				__lowerCamelCase					:		List[Any]		   =     Path(UpperCAmelCase    )
													# load model from hub
													else:
																				# download model
																				__lowerCamelCase					:		List[Any]		   =     hf_hub_download(
																				    repo_id=UpperCAmelCase							,					filename=UpperCAmelCase							,					use_auth_token=UpperCAmelCase							,					revision=UpperCAmelCase							,					cache_dir=UpperCAmelCase							,					force_download=UpperCAmelCase							,					)
																				__lowerCamelCase					:		Union[str, Any]		   =     Path(UpperCAmelCase    ).parent
																				__lowerCamelCase					:		Tuple		   =     Path(UpperCAmelCase    ).name
																				__lowerCamelCase					:		Dict		   =     OnnxRuntimeModel.load_model(UpperCAmelCase							,					provider=UpperCAmelCase							,					sess_options=UpperCAmelCase    )
													return cls(model=UpperCAmelCase							,					**UpperCAmelCase    )







						@classmethod
						def       lowerCamelCase__     (       cls      :			List[Any]							,					UpperCAmelCase      :			Union[str, Path]							,					UpperCAmelCase      :			bool = True							,					UpperCAmelCase      :			Optional[str] = None							,					UpperCAmelCase      :			Optional[str] = None							,					**UpperCAmelCase      :			Optional[int]							,					):
													__lowerCamelCase					:		List[Any]		   =     None
													if len(str(UpperCAmelCase    ).split("@"    )    ) == 2:
																				__lowerCamelCase   ,  __lowerCamelCase					:		Tuple		   =     model_id.split("@"    )

													return cls._from_pretrained(
													    model_id=UpperCAmelCase							,					revision=UpperCAmelCase							,					cache_dir=UpperCAmelCase							,					force_download=UpperCAmelCase							,					use_auth_token=UpperCAmelCase							,					**UpperCAmelCase							,					)
"""simple docstring"""





# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import doctest
import sys
import warnings
from os.path import abspath, dirname, join

import _pytest

from transformers.testing_utils import HfDoctestModule, HfDocTestParser


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
__A  =				abspath(join(dirname(__file__), '''src'''))
sys.path.insert(1, git_repo_path)

# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='''ignore''', category=FutureWarning)


def    lowercase_   (   _lowerCamelCase:	List[Any]      ) ->      Union[str, Any]:



							'''simple docstring'''

							config.addinivalue_line(
							    "markers"						,   "is_pt_tf_cross_test: mark test to run only when PT and TF interactions are tested"      )
							config.addinivalue_line(
							    "markers"						,   "is_pt_flax_cross_test: mark test to run only when PT and FLAX interactions are tested"      )
							config.addinivalue_line("markers"						,   "is_pipeline_test: mark test to run only when pipelines are tested"      )
							config.addinivalue_line("markers"						,   "is_staging_test: mark test to run only in the staging environment"      )
							config.addinivalue_line("markers"						,   "accelerate_tests: mark test that require accelerate"      )
							config.addinivalue_line("markers"						,   "tool_tests: mark the tool tests that are run on their specific schedule"      )


def    lowercase_   (   _lowerCamelCase:	Union[str, Any]      ) ->      Any:



							'''simple docstring'''

							from transformers.testing_utils import pytest_addoption_shared

							pytest_addoption_shared(_lowerCamelCase      )


def    lowercase_   (   _lowerCamelCase:	Optional[int]      ) ->      Tuple:



							'''simple docstring'''

							from transformers.testing_utils import pytest_terminal_summary_main

							__lowerCamelCase					:		Any		   =     terminalreporter.config.getoption("--make-reports"      )
							if make_reports:
														pytest_terminal_summary_main(_lowerCamelCase						,   id=_lowerCamelCase      )


def    lowercase_   (   _lowerCamelCase:	Union[str, Any]						,   _lowerCamelCase:	Tuple      ) ->      Dict:



							'''simple docstring'''

							if exitstatus == 5:
														__lowerCamelCase					:		Optional[int]		   =     0


# Doctest custom flag to ignore output.
__A  =				doctest.register_optionflag('''IGNORE_RESULT''')

__A  =				doctest.OutputChecker
class  _snake_case     (					a__		):






						def       lowerCamelCase__     (       self      :			List[str]							,					UpperCAmelCase      :			int							,					UpperCAmelCase      :			Any							,					UpperCAmelCase      :			int    ):
													if IGNORE_RESULT & optionflags:
																				return True
													return OutputChecker.check_output(self							,					UpperCAmelCase							,					UpperCAmelCase							,					UpperCAmelCase    )

__A  =				CustomOutputChecker
__A  =				HfDoctestModule







__A  =				HfDocTestParser