'''simple docstring'''

import cva
import numpy as np



class 			UpperCAmelCase  :





       '''simple docstring'''



       def __init__(						self	,   __lowerCAmelCase	,   __lowerCAmelCase )  ->  int:

        if k in (0.0_4, 0.0_6):
         lowercase__				:    Dict  =					k
         lowercase__				:    Optional[Any]  =					window_size
        else:
         raise ValueError('''invalid k value''' )

       def __str__(						self )  ->  str:
        return str(self.k )


       def _lowerCAmelCase(						self	,   __lowerCAmelCase )  ->  tuple[cva.Mat, list[list[int]]]:
        lowercase__				:    List[Any]  =					cva.imread(__lowerCAmelCase	,   0 )
        lowercase__ ,							lowercase__				:    Tuple  =					img.shape
        lowercase__				:    list[list[int]]  =					[]
        lowercase__				:    str  =					img.copy()
        lowercase__				:    List[str]  =					cva.cvtColor(__lowerCAmelCase	,   cva.COLOR_GRAY2RGB )
        lowercase__ ,							lowercase__				:    Optional[Any]  =					np.gradient(__lowerCAmelCase )
        lowercase__				:    Any  =					dx**2
        lowercase__				:    Optional[int]  =					dy**2
        lowercase__				:    Dict  =					dx * dy
        lowercase__				:    Optional[int]  =					0.0_4
        lowercase__				:    Optional[int]  =					self.window_size // 2
        for y in range(__lowerCAmelCase	,   h - offset ):
         for x in range(__lowerCAmelCase	,   w - offset ):
          lowercase__				:    List[str]  =					ixx[
              y - offset : y + offset + 1, x - offset : x + offset + 1
          ].sum()
          lowercase__				:    Optional[int]  =					iyy[
              y - offset : y + offset + 1, x - offset : x + offset + 1
          ].sum()
          lowercase__				:    Dict  =					ixy[
              y - offset : y + offset + 1, x - offset : x + offset + 1
          ].sum()

          lowercase__				:    Optional[int]  =					(wxx * wyy) - (wxy**2)
          lowercase__				:    str  =					wxx + wyy
          lowercase__				:    Tuple  =					det - k * (trace**2)
          # Can change the value
          if r > 0.5:
           corner_list.append([x, y, r] )
           color_img.itemset((y, x, 0)	,   0 )
           color_img.itemset((y, x, 1)	,   0 )
           color_img.itemset((y, x, 2)	,   255 )
        return color_img, corner_list


if __name__ == "__main__":
  __a: str          =   HarrisCorner(0.04, 3)
  __a   ,			__a: int          =   edge_detect.detect("""path_to_image""")
  cva.imwrite("""detect.png""", color_img)


'''simple docstring'''

import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin



class 			UpperCAmelCase  (						a__    ,						unittest.TestCase					):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE							=    CTRLTokenizer
       SCREAMING_SNAKE_CASE							=    False
       SCREAMING_SNAKE_CASE							=    False

       def _lowerCAmelCase(						self )  ->  Dict:
        super().setUp()

        # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
        lowercase__				:    Optional[Any]  =					['''adapt''', '''re@@''', '''a@@''', '''apt''', '''c@@''', '''t''', '''<unk>''']
        lowercase__				:    str  =					dict(zip(__lowerCAmelCase	,   range(len(__lowerCAmelCase ) ) ) )
        lowercase__				:    Tuple  =					['''#version: 0.2''', '''a p''', '''ap t</w>''', '''r e''', '''a d''', '''ad apt</w>''', '''''']
        lowercase__				:    Optional[Any]  =					{'''unk_token''': '''<unk>'''}

        lowercase__				:    Dict  =					os.path.join(self.tmpdirname	,   VOCAB_FILES_NAMES['''vocab_file'''] )
        lowercase__				:    Dict  =					os.path.join(self.tmpdirname	,   VOCAB_FILES_NAMES['''merges_file'''] )
        with open(self.vocab_file	,   '''w'''	,   encoding='''utf-8''' ) as fp:
         fp.write(json.dumps(__lowerCAmelCase ) + '''\n''' )
        with open(self.merges_file	,   '''w'''	,   encoding='''utf-8''' ) as fp:
         fp.write('''\n'''.join(__lowerCAmelCase ) )

       def _lowerCAmelCase(						self	,   **__lowerCAmelCase )  ->  List[str]:
        kwargs.update(self.special_tokens_map )
        return CTRLTokenizer.from_pretrained(self.tmpdirname	,   **__lowerCAmelCase )

       def _lowerCAmelCase(						self	,   __lowerCAmelCase )  ->  List[str]:
        lowercase__				:    List[str]  =					'''adapt react readapt apt'''
        lowercase__				:    Union[str, Any]  =					'''adapt react readapt apt'''
        return input_text, output_text


       def _lowerCAmelCase(						self )  ->  Optional[Any]:
        lowercase__				:    Union[str, Any]  =					CTRLTokenizer(self.vocab_file	,   self.merges_file	,   **self.special_tokens_map )
        lowercase__				:    Optional[Any]  =					'''adapt react readapt apt'''
        lowercase__				:    Dict  =					'''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
        lowercase__				:    Union[str, Any]  =					tokenizer.tokenize(__lowerCAmelCase )
        self.assertListEqual(__lowerCAmelCase	,   __lowerCAmelCase )

        lowercase__				:    int  =					tokens + [tokenizer.unk_token]

        lowercase__				:    List[str]  =					[0, 1, 2, 4, 5, 1, 0, 3, 6]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCAmelCase )	,   __lowerCAmelCase )

