


import cva
import numpy as np







class lowerCAmelCase_		:

 '''simple docstring'''

 def __init__(			self	,   _UpperCAmelCase	,   _UpperCAmelCase      ):

       if k in (0.04, 0.06):
             snake_case_ =   k
             snake_case_ =   window_size
       else:
             raise ValueError('''invalid k value'''      )



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





 def 		UpperCamelCase__  (			self	,   _UpperCAmelCase      ):
       snake_case_ =   cva.imread(_UpperCAmelCase	,   0      )
       snake_case_ ,					snake_case_ =   img.shape
       snake_case_ =   []
       snake_case_ =   img.copy()
       snake_case_ =   cva.cvtColor(_UpperCAmelCase	,   cva.COLOR_GRAY2RGB      )
       snake_case_ ,					snake_case_ =   np.gradient(_UpperCAmelCase      )
       snake_case_ =   dx**2
       snake_case_ =   dy**2
       snake_case_ =   dx * dy
       snake_case_ =   0.04
       snake_case_ =   self.window_size // 2
       for y in range(_UpperCAmelCase	,   h - offset      ):
             for x in range(_UpperCAmelCase	,   w - offset      ):
                   snake_case_ =   ixx[
                       y - offset : y + offset + 1, x - offset : x + offset + 1
                   ].sum()
                   snake_case_ =   iyy[
                       y - offset : y + offset + 1, x - offset : x + offset + 1
                   ].sum()
                   snake_case_ =   ixy[
                       y - offset : y + offset + 1, x - offset : x + offset + 1
                   ].sum()

                   snake_case_ =   (wxx * wyy) - (wxy**2)
                   snake_case_ =   wxx + wyy
                   snake_case_ =   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)	,   2_55      )
       return color_img, corner_list


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



import argparse
import json
import os
import time
import zipfile

from get_ci_error_statistics import download_artifact, get_artifacts_links

from transformers import logging


UpperCAmelCase    =					logging.get_logger(__name__)






def  __lowerCAmelCase					(SCREAMING_SNAKE_CASE      ,      SCREAMING_SNAKE_CASE      )->						List[str]:




      """simple docstring"""

      snake_case_ =   set()
      snake_case_ =   []

      def parse_line(SCREAMING_SNAKE_CASE      ):
            for line in fp:
                  if isinstance(SCREAMING_SNAKE_CASE      ,      SCREAMING_SNAKE_CASE      ):
                        snake_case_ =   line.decode('''UTF-8'''      )
                  if "warnings summary (final)" in line:
                        continue
                  # This means we are outside the body of a warning
                  elif not line.startswith(''' '''      ):
                        # process a single warning and move it to `selected_warnings`.
                        if len(SCREAMING_SNAKE_CASE      ) > 0:
                              snake_case_ =   '''\n'''.join(SCREAMING_SNAKE_CASE      )
                              # Only keep the warnings specified in `targets`
                              if any(f''': {x}: ''' in warning for x in targets      ):
                                    selected_warnings.add(SCREAMING_SNAKE_CASE      )
                              buffer.clear()
                        continue
                  else:
                        snake_case_ =   line.strip()
                        buffer.append(SCREAMING_SNAKE_CASE      )

      if from_gh:
            for filename in os.listdir(SCREAMING_SNAKE_CASE      ):
                  snake_case_ =   os.path.join(SCREAMING_SNAKE_CASE      ,      SCREAMING_SNAKE_CASE      )
                  if not os.path.isdir(SCREAMING_SNAKE_CASE      ):
                        # read the file
                        if filename != "warnings.txt":
                              continue
                        with open(SCREAMING_SNAKE_CASE      ) as fp:
                              parse_line(SCREAMING_SNAKE_CASE      )
      else:
            try:
                  with zipfile.ZipFile(SCREAMING_SNAKE_CASE      ) as z:
                        for filename in z.namelist():
                              if not os.path.isdir(SCREAMING_SNAKE_CASE      ):
                                    # read the file
                                    if filename != "warnings.txt":
                                          continue
                                    with z.open(SCREAMING_SNAKE_CASE      ) as fp:
                                          parse_line(SCREAMING_SNAKE_CASE      )
            except Exception:
                  logger.warning(
                      f'''{artifact_path} is either an invalid zip file or something else wrong. This file is skipped.'''      )

      return selected_warnings






def  __lowerCAmelCase					(SCREAMING_SNAKE_CASE      ,      SCREAMING_SNAKE_CASE      )->						str:




      """simple docstring"""

      snake_case_ =   set()

      snake_case_ =   [os.path.join(SCREAMING_SNAKE_CASE      ,      SCREAMING_SNAKE_CASE      ) for p in os.listdir(SCREAMING_SNAKE_CASE      ) if (p.endswith('''.zip'''      ) or from_gh)]
      for p in paths:
            selected_warnings.update(extract_warnings_from_single_artifact(SCREAMING_SNAKE_CASE      ,      SCREAMING_SNAKE_CASE      )      )

      return selected_warnings


if __name__ == "__main__":






   def  __lowerCAmelCase					(SCREAMING_SNAKE_CASE      )->						List[str]:




         """simple docstring"""

         return values.split(''','''      )

   UpperCAmelCase    =					argparse.ArgumentParser()
   # Required parameters
   parser.add_argument("""--workflow_run_id""", type=str, required=True, help="""A GitHub Actions workflow run id.""")
   parser.add_argument(
       """--output_dir""",
       type=str,
       required=True,
       help="""Where to store the downloaded artifacts and other result files.""",
   )
   parser.add_argument("""--token""", default=None, type=str, help="""A token that has actions:read permission.""")
   # optional parameters
   parser.add_argument(
       """--targets""",
       default="""DeprecationWarning,UserWarning,FutureWarning""",
       type=list_str,
       help="""Comma-separated list of target warning(s) which we want to extract.""",
   )
   parser.add_argument(
       """--from_gh""",
       action="""store_true""",
       help="""If running from a GitHub action workflow and collecting warnings from its artifacts.""",
   )

   UpperCAmelCase    =					parser.parse_args()

   UpperCAmelCase    =					args.from_gh
   if from_gh:
      # The artifacts have to be downloaded using `actions/download-artifact@v3`
      pass
   else:
      os.makedirs(args.output_dir, exist_ok=True)

      # get download links
      UpperCAmelCase    =					get_artifacts_links(args.workflow_run_id, token=args.token)
      with open(os.path.join(args.output_dir, """artifacts.json"""), """w""", encoding="""UTF-8""") as fp:
         json.dump(artifacts, fp, ensure_ascii=False, indent=4)

      # download artifacts
      for idx, (name, url) in enumerate(artifacts.items()):
         print(name)
         print(url)
         print("""=""" * 80)
         download_artifact(name, url, args.output_dir, args.token)
         # Be gentle to GitHub
         time.sleep(1)

    # extract warnings from artifacts
   UpperCAmelCase    =					extract_warnings(args.output_dir, args.targets)
   UpperCAmelCase    =					sorted(selected_warnings)
   with open(os.path.join(args.output_dir, """selected_warnings.json"""), """w""", encoding="""UTF-8""") as fp:
      json.dump(selected_warnings, fp, ensure_ascii=False, indent=4)