



"""simple docstring"""






from __future__ import annotations

__snake_case							:     List[Any]   =					[
    [-1, 0],  # left
    [0, -1],  # down
    [1, 0],  # right
    [0, 1],  # up
]


def     _lowercase       (						__snake_case      ,__snake_case      ,__snake_case      ,__snake_case      ,__snake_case      ,)		->     str:
   __lowerCAmelCase   :						str				= [
       [0 for col in range(len(grid[0]			)			)] for row in range(len(__snake_case			)			)
   ]  # the reference grid
   __lowerCAmelCase   :						List[str]				= 1
   __lowerCAmelCase   :						Tuple				= [
       [0 for col in range(len(grid[0]			)			)] for row in range(len(__snake_case			)			)
   ]  # the action grid

   __lowerCAmelCase   :						Dict				= init[0]
   __lowerCAmelCase   :						Tuple				= init[1]
   __lowerCAmelCase   :						Any				= 0
   __lowerCAmelCase   :						Tuple				= g + heuristic[x][y]  # cost from starting cell to destination cell
   __lowerCAmelCase   :						str				= [[f, g, x, y]]

   __lowerCAmelCase   :						Tuple				= False  # flag that is set when search is complete
   __lowerCAmelCase   :						Optional[int]				= False  # flag set if we can't find expand

   while not found and not resign:
      if len(__snake_case			) == 0:
         raise ValueError("Algorithm is unable to find solution"			)
      else:  # to choose the least costliest action so as to move closer to the goal
         cell.sort()
         cell.reverse()
         __lowerCAmelCase   :						Optional[int]				= cell.pop()
         __lowerCAmelCase   :						Union[str, Any]				= next_cell[2]
         __lowerCAmelCase   :						List[Any]				= next_cell[3]
         __lowerCAmelCase   :						Optional[Any]				= next_cell[1]

         if x == goal[0] and y == goal[1]:
            __lowerCAmelCase   :						List[str]				= True
         else:
            for i in range(len(__snake_case			)			):  # to try out different valid actions
               __lowerCAmelCase   :						int				= x + DIRECTIONS[i][0]
               __lowerCAmelCase   :						int				= y + DIRECTIONS[i][1]
               if xa >= 0 and xa < len(__snake_case			) and ya >= 0 and ya < len(grid[0]			):
                  if closed[xa][ya] == 0 and grid[xa][ya] == 0:
                     __lowerCAmelCase   :						List[str]				= g + cost
                     __lowerCAmelCase   :						Tuple				= ga + heuristic[xa][ya]
                     cell.append([fa, ga, xa, ya]			)
                     __lowerCAmelCase   :						Optional[Any]				= 1
                     __lowerCAmelCase   :						Optional[Any]				= i
   __lowerCAmelCase   :						List[str]				= []
   __lowerCAmelCase   :						Dict				= goal[0]
   __lowerCAmelCase   :						Optional[Any]				= goal[1]
   invpath.append([x, y]			)  # we get the reverse path from here
   while x != init[0] or y != init[1]:
      __lowerCAmelCase   :						Dict				= x - DIRECTIONS[action[x][y]][0]
      __lowerCAmelCase   :						Union[str, Any]				= y - DIRECTIONS[action[x][y]][1]
      __lowerCAmelCase   :						Tuple				= xa
      __lowerCAmelCase   :						Union[str, Any]				= ya
      invpath.append([x, y]			)

   __lowerCAmelCase   :						Union[str, Any]				= []
   for i in range(len(__snake_case			)			):
      path.append(invpath[len(__snake_case			) - 1 - i]			)
   return path, action


if __name__ == "__main__":
 __snake_case							:     Tuple   =					[
     [0, 1, 0, 0, 0, 0],
     [0, 1, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
     [0, 1, 0, 0, 0, 0],
     [0, 1, 0, 0, 1, 0],
     [0, 0, 0, 0, 1, 0],
 ]

 __snake_case							:     Optional[Any]   =					[0, 0]
 # all coordinates are given in format [y,x]
 __snake_case							:     Any   =					[len(grid) - 1, len(grid[0]) - 1]
 __snake_case							:     str   =					1

 # the cost map which pushes the path closer to the goal
 __snake_case							:     Optional[int]   =					[[0 for row in range(len(grid[0]))] for col in range(len(grid))]
 for i in range(len(grid)):
  for j in range(len(grid[0])):
   __snake_case							:     Optional[Any]   =					abs(i - goal[0]) + abs(j - goal[1])
   if grid[i][j] == 1:
    # added extra penalty in the heuristic map
    __snake_case							:     str   =					99

 __snake_case							:     int   =					search(grid, init, goal, cost, heuristic)

 print('ACTION MAP')
 for i in range(len(action)):
  print(action[i])

 for i in range(len(path)):
  print(path[i])




"""simple docstring"""






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


__snake_case							:     Tuple   =					logging.get_logger(__name__)


def     _lowercase       (						__snake_case      ,__snake_case			)		->     Dict:
			__lowerCAmelCase   :						Optional[Any]				= set()
			__lowerCAmelCase   :						List[Any]				= []

			def parse_line(__snake_case			):
						for line in fp:
									if isinstance(__snake_case      ,__snake_case			):
												__lowerCAmelCase   :						Tuple				= 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(__snake_case			) > 0:
															__lowerCAmelCase   :						List[Any]				= "\n".join(__snake_case			)
															# Only keep the warnings specified in `targets`
															if any(F""": {x}: """ in warning for x in targets			):
																		selected_warnings.add(__snake_case			)
															buffer.clear()
												continue
									else:
												__lowerCAmelCase   :						List[str]				= line.strip()
												buffer.append(__snake_case			)

			if from_gh:
						for filename in os.listdir(__snake_case			):
									__lowerCAmelCase   :						List[str]				= os.path.join(__snake_case      ,__snake_case			)
									if not os.path.isdir(__snake_case			):
												# read the file
												if filename != "warnings.txt":
															continue
												with open(__snake_case			) as fp:
															parse_line(__snake_case			)
			else:
						try:
									with zipfile.ZipFile(__snake_case			) as z:
												for filename in z.namelist():
															if not os.path.isdir(__snake_case			):
																		# read the file
																		if filename != "warnings.txt":
																					continue
																		with z.open(__snake_case			) as fp:
																					parse_line(__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     _lowercase       (						__snake_case      ,__snake_case			)		->     Any:
			__lowerCAmelCase   :						Any				= set()

			__lowerCAmelCase   :						str				= [os.path.join(__snake_case      ,__snake_case			) for p in os.listdir(__snake_case			) if (p.endswith(".zip"			) or from_gh)]
			for p in paths:
						selected_warnings.update(extract_warnings_from_single_artifact(__snake_case      ,__snake_case			)			)

			return selected_warnings


if __name__ == "__main__":


	def     _lowercase       (						__snake_case			)		->     Optional[Any]:
				return values.split(","			)

	__snake_case							:     Optional[int]   =					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.',
	)

	__snake_case							:     Tuple   =					parser.parse_args()

	__snake_case							:     Any   =					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
		__snake_case							:     str   =					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
	__snake_case							:     Tuple   =					extract_warnings(args.output_dir, args.targets)
	__snake_case							:     List[str]   =					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)