


'''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_  :				Optional[int]						= logging.get_logger(__name__)

a_  :				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      snake_case    :





  """simple docstring"""




  def __init__(    self			,  UpperCamelCase=None			,  **UpperCamelCase     ):







   """simple docstring"""
   logger.info("`diffusers.OnnxRuntimeModel` is experimental and might change in the future."     )
   lowerCamelCase_      =  model
   lowerCamelCase_      =  kwargs.get("model_save_dir"			,  UpperCamelCase     )
   lowerCamelCase_      =  kwargs.get("latest_model_name"			,  UpperCamelCase     )






  def __call__(    self			,  **UpperCamelCase     ):







   """simple docstring"""
   lowerCamelCase_      =  {k: np.array(UpperCamelCase     ) for k, v in kwargs.items()}
   return self.model.run(UpperCamelCase			,  UpperCamelCase     )






  @staticmethod
  def   snake_case		(    UpperCamelCase			,  UpperCamelCase=None			,  UpperCamelCase=None     ):







   """simple docstring"""
   if provider is None:
    logger.info("No onnxruntime provider specified, using CPUExecutionProvider"     )
    lowerCamelCase_      =  "CPUExecutionProvider"

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






  def   snake_case		(    self			,  UpperCamelCase			,  UpperCamelCase = None			,  **UpperCamelCase     ):







   """simple docstring"""
   lowerCamelCase_      =  file_name if file_name is not None else ONNX_WEIGHTS_NAME

   lowerCamelCase_      =  self.model_save_dir.joinpath(self.latest_model_name     )
   lowerCamelCase_      =  Path(UpperCamelCase     ).joinpath(UpperCamelCase     )
   try:
    shutil.copyfile(UpperCamelCase			,  UpperCamelCase     )
   except shutil.SameFileError:
    pass

   # copy external weights (for models >2GB)
   lowerCamelCase_      =  self.model_save_dir.joinpath(UpperCamelCase     )
   if src_path.exists():
    lowerCamelCase_      =  Path(UpperCamelCase     ).joinpath(UpperCamelCase     )
    try:
     shutil.copyfile(UpperCamelCase			,  UpperCamelCase     )
    except shutil.SameFileError:
     pass






  def   snake_case		(    self			,  UpperCamelCase			,  **UpperCamelCase			,  ):







   """simple docstring"""
   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   snake_case		(    cls			,  UpperCamelCase			,  UpperCamelCase = None			,  UpperCamelCase = None			,  UpperCamelCase = False			,  UpperCamelCase = None			,  UpperCamelCase = None			,  UpperCamelCase = None			,  UpperCamelCase = None			,  **UpperCamelCase			,  ):







   """simple docstring"""
   lowerCamelCase_      =  file_name if file_name is not None else ONNX_WEIGHTS_NAME
   # load model from local directory
   if os.path.isdir(UpperCamelCase     ):
    lowerCamelCase_      =  OnnxRuntimeModel.load_model(
        os.path.join(UpperCamelCase			,  UpperCamelCase     )			,  provider=UpperCamelCase			,  sess_options=UpperCamelCase     )
    lowerCamelCase_      =  Path(UpperCamelCase     )
   # load model from hub
   else:
    # download model
    lowerCamelCase_      =  hf_hub_download(
        repo_id=UpperCamelCase			,  filename=UpperCamelCase			,  use_auth_token=UpperCamelCase			,  revision=UpperCamelCase			,  cache_dir=UpperCamelCase			,  force_download=UpperCamelCase			,  )
    lowerCamelCase_      =  Path(UpperCamelCase     ).parent
    lowerCamelCase_      =  Path(UpperCamelCase     ).name
    lowerCamelCase_      =  OnnxRuntimeModel.load_model(UpperCamelCase			,  provider=UpperCamelCase			,  sess_options=UpperCamelCase     )
   return cls(model=UpperCamelCase			,  **UpperCamelCase     )







  @classmethod
  def   snake_case		(    cls			,  UpperCamelCase			,  UpperCamelCase = True			,  UpperCamelCase = None			,  UpperCamelCase = None			,  **UpperCamelCase			,  ):







   """simple docstring"""
   lowerCamelCase_      =  None
   if len(str(UpperCamelCase     ).split("@"     )     ) == 2:
    lowerCamelCase_ ,lowerCamelCase_      =  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'''

from __future__ import annotations

from fractions import Fraction





def __snake_case					(      UpperCAmelCase_						:						int					,				UpperCAmelCase_						:						int		):
 return (
     num != den and num % 10 == den // 10 and (num // 10) / (den % 10) == num / den
 )





def __snake_case					(      UpperCAmelCase_						:						int		):
 lowerCamelCase_      =  []
 lowerCamelCase_      =  11
 lowerCamelCase_      =  int("1" + "0" * digit_len		)
 for num in range(UpperCAmelCase_					,				UpperCAmelCase_		):
  while den <= 99:
   if (num != den) and (num % 10 == den // 10) and (den % 10 != 0):
    if is_digit_cancelling(UpperCAmelCase_					,				UpperCAmelCase_		):
     solutions.append(F'''{num}/{den}'''		)
   den += 1
  num += 1
  lowerCamelCase_      =  10
 return solutions





def __snake_case					(      UpperCAmelCase_						:						int = 2		):
 lowerCamelCase_      =  1.0
 for fraction in fraction_list(UpperCAmelCase_		):
  lowerCamelCase_      =  Fraction(UpperCAmelCase_		)
  result *= frac.denominator / frac.numerator
 return int(UpperCAmelCase_		)


if __name__ == "__main__":
     print(solution())



