

# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse

from ...utils.dataclasses import (
    ComputeEnvironment,
    DistributedType,
    DynamoBackend,
    PrecisionType,
    SageMakerDistributedType,
)
from ..menu import BulletMenu


lowercase_									=   [
    'EAGER',
    'AOT_EAGER',
    'INDUCTOR',
    'NVFUSER',
    'AOT_NVFUSER',
    'AOT_CUDAGRAPHS',
    'OFI',
    'FX2TRT',
    'ONNXRT',
    'IPEX',
]
def      a      (			A__	:   Dict      ,   A__	:   Any=None      ,   A__	:   List[Any]=None      ,   A__	:   Optional[Any]=None     )    ->      Dict:





      """simple docstring"""



      _lowercase	       =True
      while ask_again:
            _lowercase	       =input(A__     )
            try:
                  if default is not None and len(A__     ) == 0:
                        return default
                  return convert_value(A__     ) if convert_value is not None else result
            except Exception:
                  if error_message is not None:
                        print(A__     )
def      a      (			A__	:   Any      ,   A__	:   str=[]      ,   A__	:   Any=None      ,   A__	:   Dict=0     )    ->      List[str]:





      """simple docstring"""



      _lowercase	       =BulletMenu(A__      ,   A__     )
      _lowercase	       =menu.run(default_choice=A__     )
      return convert_value(A__     ) if convert_value is not None else result
def      a      (			A__	:   Optional[int]     )    ->      Union[str, Any]:





      """simple docstring"""



      _lowercase	       =int(A__     )
      return ComputeEnvironment(['LOCAL_MACHINE', 'AMAZON_SAGEMAKER'][value]     )
def      a      (			A__	:   List[Any]     )    ->      Any:





      """simple docstring"""



      _lowercase	       =int(A__     )
      return DistributedType(['NO', 'MULTI_CPU', 'MULTI_XPU', 'MULTI_GPU', 'MULTI_NPU', 'TPU'][value]     )
def      a      (			A__	:   Tuple     )    ->      Optional[int]:





      """simple docstring"""



      _lowercase	       =int(A__     )
      return DynamoBackend(DYNAMO_BACKENDS[value]     ).value
def      a      (			A__	:   Optional[Any]     )    ->      Any:





      """simple docstring"""



      _lowercase	       =int(A__     )
      return PrecisionType(['no', 'fp16', 'bf16', 'fp8'][value]     )
def      a      (			A__	:   Tuple     )    ->      str:





      """simple docstring"""



      _lowercase	       =int(A__     )
      return SageMakerDistributedType(['NO', 'DATA_PARALLEL', 'MODEL_PARALLEL'][value]     )
def      a      (			A__	:   List[Any]     )    ->      Optional[Any]:





      """simple docstring"""



      return {"yes": True, "no": False}[value.lower()]







class  __lowerCAmelCase     (					argparse.RawDescriptionHelpFormatter							):




  def   A__     (				self							,   lowerCAmelCase							,   lowerCAmelCase							,   lowerCAmelCase							,   lowerCAmelCase					)  -> Union[str, Any]:
        '''simple docstring'''






        _lowercase	       =super()._format_usage(lowerCAmelCase							,   lowerCAmelCase							,   lowerCAmelCase							,   lowerCAmelCase					)
        _lowercase	       =usage.replace('<command> [<args>] '							,   ''					)
        return usage





import numpy as np
from cva import COLOR_BGR2GRAY, CV_8UC3, cvtColor, filteraD, imread, imshow, waitKey
def      a      (			A__	:   int      ,   A__	:   int      ,   A__	:   int      ,   A__	:   int      ,   A__	:   int      ,   A__	:   int     )    ->      np.ndarray:





      """simple docstring"""



      if (ksize % 2) == 0:
            _lowercase	       =ksize + 1
      _lowercase	       =np.zeros((ksize, ksize)      ,   dtype=np.floataa     )

      # each value
      for y in range(A__     ):
            for x in range(A__     ):
                  # distance from center
                  _lowercase	       =x - ksize // 2
                  _lowercase	       =y - ksize // 2

                  # degree to radiant
                  _lowercase	       =theta / 180 * np.pi
                  _lowercase	       =np.cos(_theta     )
                  _lowercase	       =np.sin(_theta     )

                  # get kernel x
                  _lowercase	       =cos_theta * px + sin_theta * py

                  # get kernel y
                  _lowercase	       =-sin_theta * px + cos_theta * py

                  # fill kernel
                  _lowercase	       =np.exp(
                      -(_x**2 + gamma**2 * _y**2) / (2 * sigma**2)     ) * np.cos(2 * np.pi * _x / lambd + psi     )

      return gabor


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  # read original image
  lowercase_									=   imread('../image_data/lena.jpg')
  # turn image in gray scale value
  lowercase_									=   cvtColor(img, COLOR_BGR2GRAY)

  # Apply multiple Kernel to detect edges
  lowercase_									=   np.zeros(gray.shape[:2])
  for theta in [0, 3_0, 6_0, 9_0, 1_2_0, 1_5_0]:
    lowercase_									=   gabor_filter_kernel(1_0, 8, theta, 1_0, 0, 0)
    out += filteraD(gray, CV_8UC3, kernel_aa)
  lowercase_									=   out / out.max() * 2_5_5
  lowercase_									=   out.astype(np.uinta)

  imshow('Original', gray)
  imshow('Gabor filter with 20x20 mask and 6 directions', out)

  waitKey(0)


