




import argparse
from collections import defaultdict

import yaml


_lowerCamelCase      :  Optional[int]      						=						"docs/source/en/_toctree.yml"




def 							_UpperCAmelCase  (UpperCamelCase_ : str       ):
				'''simple docstring'''
				_lowerCAmelCase    :    Optional[int]										=      defaultdict(UpperCamelCase_       )
				for doc in model_doc:
								counts[doc["local"]] += 1
				_lowerCAmelCase    :    List[str]										=      [key for key, value in counts.items() if value > 1]

				_lowerCAmelCase    :    int										=      []
				for duplicate_key in duplicates:
								_lowerCAmelCase    :    Tuple										=      list({doc["""title"""] for doc in model_doc if doc["""local"""] == duplicate_key}       )
								if len(UpperCamelCase_       ) > 1:
												raise ValueError(
												    F"{duplicate_key} is present several times in the documentation table of content at "
												    """`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the """
												    """others."""       )
								# Only add this once
								new_doc.append({"""local""": duplicate_key, """title""": titles[0]}       )

				# Add none duplicate-keys
				new_doc.extend([doc for doc in model_doc if counts[doc["""local"""]] == 1]       )

				# Sort
				return sorted(UpperCamelCase_      ,    key=lambda UpperCamelCase_       : s["title"].lower()       )




def 							_UpperCAmelCase  (UpperCamelCase_ : Tuple=False       ):
				'''simple docstring'''
				with open(UpperCamelCase_      ,    encoding="""utf-8"""       ) as f:
								_lowerCAmelCase    :    Optional[Any]										=      yaml.safe_load(f.read()       )

				# Get to the API doc
				_lowerCAmelCase    :    Union[str, Any]										=      0
				while content[api_idx]["title"] != "API":
								api_idx += 1
				_lowerCAmelCase    :    Optional[int]										=      content[api_idx]["""sections"""]

				# Then to the model doc
				_lowerCAmelCase    :    int										=      0
				while api_doc[model_idx]["title"] != "Models":
								model_idx += 1

				_lowerCAmelCase    :    Any										=      api_doc[model_idx]["""sections"""]

				_lowerCAmelCase    :    Dict										=      [(idx, section) for idx, section in enumerate(UpperCamelCase_       ) if """sections""" in section]
				_lowerCAmelCase    :    Optional[int]										=      False
				for idx, modality_doc in modalities_docs:
								_lowerCAmelCase    :    Optional[Any]										=      modality_doc["""sections"""]
								_lowerCAmelCase    :    Any										=      clean_model_doc_toc(UpperCamelCase_       )

								if old_modality_doc != new_modality_doc:
												_lowerCAmelCase    :    Union[str, Any]										=      True
												if overwrite:
																_lowerCAmelCase    :    Any										=      new_modality_doc

				if diff:
								if overwrite:
												_lowerCAmelCase    :    Union[str, Any]										=      model_doc
												_lowerCAmelCase    :    Any										=      api_doc
												with open(UpperCamelCase_      ,    """w"""      ,    encoding="""utf-8"""       ) as f:
																f.write(yaml.dump(UpperCamelCase_      ,    allow_unicode=UpperCamelCase_       )       )
								else:
												raise ValueError(
												    """The model doc part of the table of content is not properly sorted, run `make style` to fix this."""       )


if __name__ == "__main__":
	_lowerCamelCase      :  Dict      						=						argparse.ArgumentParser()
	parser.add_argument("--fix_and_overwrite", action="store_true", help="Whether to fix inconsistencies.")
	_lowerCamelCase      :  Tuple      						=						parser.parse_args()

	check_model_doc(args.fix_and_overwrite)







import cva
import numpy as np
class        __snake_case  :



				def __init__(      self      :		List[str]		,	_UpperCAmelCase      :		float		,	_UpperCAmelCase      :		int      )  ->    int:





								'''simple docstring'''




								if k in (0.04, 0.06):
												_lowerCAmelCase    :    str										=      k
												_lowerCAmelCase    :    Optional[Any]										=      window_size
								else:
												raise ValueError("""invalid k value"""      )



				def __str__(      self      :		int      )  ->    str:





								'''simple docstring'''




								return str(self.k      )



				def       SCREAMING_SNAKE_CASE       (      self      :		Optional[int]		,	_UpperCAmelCase      :		str      )  ->    tuple[cva.Mat, list[list[int]]]:





								'''simple docstring'''




								_lowerCAmelCase    :    Tuple										=      cva.imread(_UpperCAmelCase		,	0      )
								_lowerCAmelCase					,    _lowerCAmelCase    :    Tuple										=      img.shape
								_lowerCAmelCase    :    list[list[int]]										=      []
								_lowerCAmelCase    :    int										=      img.copy()
								_lowerCAmelCase    :    str										=      cva.cvtColor(_UpperCAmelCase		,	cva.COLOR_GRAY2RGB      )
								_lowerCAmelCase					,    _lowerCAmelCase    :    int										=      np.gradient(_UpperCAmelCase      )
								_lowerCAmelCase    :    Any										=      dx**2
								_lowerCAmelCase    :    Optional[int]										=      dy**2
								_lowerCAmelCase    :    Optional[Any]										=      dx * dy
								_lowerCAmelCase    :    Dict										=      0.04
								_lowerCAmelCase    :    Tuple										=      self.window_size // 2
								for y in range(_UpperCAmelCase		,	h - offset      ):
												for x in range(_UpperCAmelCase		,	w - offset      ):
																_lowerCAmelCase    :    Optional[int]										=      ixx[
																    y - offset : y + offset + 1, x - offset : x + offset + 1
																].sum()
																_lowerCAmelCase    :    int										=      iyy[
																    y - offset : y + offset + 1, x - offset : x + offset + 1
																].sum()
																_lowerCAmelCase    :    Any										=      ixy[
																    y - offset : y + offset + 1, x - offset : x + offset + 1
																].sum()

																_lowerCAmelCase    :    Dict										=      (wxx * wyy) - (wxy**2)
																_lowerCAmelCase    :    Union[str, Any]										=      wxx + wyy
																_lowerCAmelCase    :    int										=      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__":
	_lowerCamelCase      :  int      						=						HarrisCorner(0.0_4, 3)
	_lowerCamelCase						, _lowerCamelCase      :  Any      						=						edge_detect.detect("path_to_image")
	cva.imwrite("detect.png", color_img)

