


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


SCREAMING_SNAKE_CASE       :		Any         =				logging.get_logger(__name__)

SCREAMING_SNAKE_CASE       :		Optional[int]         =				{
    "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      UpperCamelCase					:


   '''simple docstring'''







   def __init__(     self   ,							UpperCamelCase_=None   ,							**UpperCamelCase_		):
        logger.info('''`diffusers.OnnxRuntimeModel` is experimental and might change in the future.'''		)
        lowercase_       :List[Any]     =       model
        lowercase_       :Any     =       kwargs.get('''model_save_dir'''   ,							UpperCamelCase_		)
        lowercase_       :List[str]     =       kwargs.get('''latest_model_name'''   ,							UpperCamelCase_		)
   def __call__(     self   ,							**UpperCamelCase_		):
        lowercase_       :Dict     =       {k: np.array(UpperCamelCase_		) for k, v in kwargs.items()}
        return self.model.run(UpperCamelCase_   ,							UpperCamelCase_		)
   @staticmethod
   def 		UpperCamelCase  (     UpperCamelCase_   ,							UpperCamelCase_=None   ,							UpperCamelCase_=None		):
        if provider is None:
             logger.info('''No onnxruntime provider specified, using CPUExecutionProvider'''		)
             lowercase_       :List[Any]     =       '''CPUExecutionProvider'''

        return ort.InferenceSession(UpperCamelCase_   ,							providers=[provider]   ,							sess_options=UpperCamelCase_		)
   def 		UpperCamelCase  (     self   ,							UpperCamelCase_   ,							UpperCamelCase_ = None   ,							**UpperCamelCase_		):
        lowercase_       :Optional[Any]     =       file_name if file_name is not None else ONNX_WEIGHTS_NAME

        lowercase_       :List[str]     =       self.model_save_dir.joinpath(self.latest_model_name		)
        lowercase_       :Tuple     =       Path(UpperCamelCase_		).joinpath(UpperCamelCase_		)
        try:
             shutil.copyfile(UpperCamelCase_   ,							UpperCamelCase_		)
        except shutil.SameFileError:
             pass

        # copy external weights (for models >2GB)
        lowercase_       :List[str]     =       self.model_save_dir.joinpath(UpperCamelCase_		)
        if src_path.exists():
             lowercase_       :Any     =       Path(UpperCamelCase_		).joinpath(UpperCamelCase_		)
             try:
                  shutil.copyfile(UpperCamelCase_   ,							UpperCamelCase_		)
             except shutil.SameFileError:
                  pass
   def 		UpperCamelCase  (     self   ,							UpperCamelCase_   ,							**UpperCamelCase_   ,							):
        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 		UpperCamelCase  (     cls   ,							UpperCamelCase_   ,							UpperCamelCase_ = None   ,							UpperCamelCase_ = None   ,							UpperCamelCase_ = False   ,							UpperCamelCase_ = None   ,							UpperCamelCase_ = None   ,							UpperCamelCase_ = None   ,							UpperCamelCase_ = None   ,							**UpperCamelCase_   ,							):
        lowercase_       :Any     =       file_name if file_name is not None else ONNX_WEIGHTS_NAME
        # load model from local directory
        if os.path.isdir(UpperCamelCase_		):
             lowercase_       :Optional[Any]     =       OnnxRuntimeModel.load_model(
                 os.path.join(UpperCamelCase_   ,							UpperCamelCase_		)   ,							provider=UpperCamelCase_   ,							sess_options=UpperCamelCase_		)
             lowercase_       :Optional[Any]     =       Path(UpperCamelCase_		)
        # load model from hub
        else:
             # download model
             lowercase_       :Tuple     =       hf_hub_download(
                 repo_id=UpperCamelCase_   ,							filename=UpperCamelCase_   ,							use_auth_token=UpperCamelCase_   ,							revision=UpperCamelCase_   ,							cache_dir=UpperCamelCase_   ,							force_download=UpperCamelCase_   ,							)
             lowercase_       :Tuple     =       Path(UpperCamelCase_		).parent
             lowercase_       :Union[str, Any]     =       Path(UpperCamelCase_		).name
             lowercase_       :int     =       OnnxRuntimeModel.load_model(UpperCamelCase_   ,							provider=UpperCamelCase_   ,							sess_options=UpperCamelCase_		)
        return cls(model=UpperCamelCase_   ,							**UpperCamelCase_		)




   @classmethod
   def 		UpperCamelCase  (     cls   ,							UpperCamelCase_   ,							UpperCamelCase_ = True   ,							UpperCamelCase_ = None   ,							UpperCamelCase_ = None   ,							**UpperCamelCase_   ,							):
        lowercase_       :List[str]     =       None
        if len(str(UpperCamelCase_		).split('''@'''		)		) == 2:
             lowercase_    ,      lowercase_       :Any     =       model_id.split('''@'''		)

        return cls._from_pretrained(
            model_id=UpperCamelCase_   ,							revision=UpperCamelCase_   ,							cache_dir=UpperCamelCase_   ,							force_download=UpperCamelCase_   ,							use_auth_token=UpperCamelCase_   ,							**UpperCamelCase_   ,							)





def     UpperCamelCase    (      _a		)					->							int:
     '''simple docstring'''





     assert isinstance(_a       ,		_a		), f"The input value of [n={number}] is not an integer"

     if number == 1:
          return 2
     elif number < 1:
          lowercase_       :str     =       f"The input value of [n={number}] has to be > 0"
          raise ValueError(_a		)
     else:
          lowercase_       :List[str]     =       sylvester(number - 1		)
          lowercase_       :Union[str, Any]     =       num - 1
          lowercase_       :List[str]     =       num
          return lower * upper + 1


if __name__ == "__main__":
   print(f"The 8th number in Sylvester's sequence: {sylvester(8)}")

