


'''simple docstring'''
import enum
import os
from hashlib import shaaaa
from typing import Optional

from .. import config
from .logging import get_logger


UpperCAmelCase_ :     str								=      get_logger(__name__)

class 						_lowerCamelCase					(    enum.Enum				):




 '''simple docstring'''
 __lowercase				:		Union[str, Any]    							=						"""all_checks"""
 __lowercase				:		Union[str, Any]    							=						"""basic_checks"""
 __lowercase				:		List[str]    							=						"""no_checks"""


class 						_lowerCamelCase					(    UpperCamelCase_				):




 '''simple docstring'''


class 						_lowerCamelCase					(    UpperCamelCase_				):




 '''simple docstring'''


class 						_lowerCamelCase					(    UpperCamelCase_				):




 '''simple docstring'''


class 						_lowerCamelCase					(    UpperCamelCase_				):




 '''simple docstring'''


def 			_lowercase       (				UpperCamelCase__       :					Dict,				UpperCamelCase__       :					Optional[int],				UpperCamelCase__       :					Optional[int]=None			):
 if expected_checksums is None:
  logger.info('Unable to verify checksums.'			)
  return
 if len(set(__lowerCAmelCase			) - set(__lowerCAmelCase			)			) > 0:
  raise ExpectedMoreDownloadedFiles(str(set(__lowerCAmelCase			) - set(__lowerCAmelCase			)			)			)
 if len(set(__lowerCAmelCase			) - set(__lowerCAmelCase			)			) > 0:
  raise UnexpectedDownloadedFile(str(set(__lowerCAmelCase			) - set(__lowerCAmelCase			)			)			)
 __A  :		Union[str, Any]       =			[url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
 __A  :		str       =			""" for """ + verification_name if verification_name is not None else """"""
 if len(__lowerCAmelCase			) > 0:
  raise NonMatchingChecksumError(
      f"""Checksums didn\'t match{for_verification_name}:\n"""
      f"""{bad_urls}\n"""
      'Set `verification_mode=\'no_checks\'` to skip checksums verification and ignore this error'			)
 logger.info('All the checksums matched successfully' + for_verification_name			)

class 						_lowerCamelCase					(    UpperCamelCase_				):




 '''simple docstring'''


class 						_lowerCamelCase					(    UpperCamelCase_				):




 '''simple docstring'''


class 						_lowerCamelCase					(    UpperCamelCase_				):




 '''simple docstring'''


class 						_lowerCamelCase					(    UpperCamelCase_				):




 '''simple docstring'''


def 			_lowercase       (				UpperCamelCase__       :					List[str],				UpperCamelCase__       :					Optional[int]			):
 if expected_splits is None:
  logger.info('Unable to verify splits sizes.'			)
  return
 if len(set(__lowerCAmelCase			) - set(__lowerCAmelCase			)			) > 0:
  raise ExpectedMoreSplits(str(set(__lowerCAmelCase			) - set(__lowerCAmelCase			)			)			)
 if len(set(__lowerCAmelCase			) - set(__lowerCAmelCase			)			) > 0:
  raise UnexpectedSplits(str(set(__lowerCAmelCase			) - set(__lowerCAmelCase			)			)			)
 __A  :		str       =			[
     {"""expected""": expected_splits[name], """recorded""": recorded_splits[name]}
     for name in expected_splits
     if expected_splits[name].num_examples != recorded_splits[name].num_examples
 ]
 if len(__lowerCAmelCase			) > 0:
  raise NonMatchingSplitsSizesError(str(__lowerCAmelCase			)			)
 logger.info('All the splits matched successfully.'			)


def 			_lowercase       (				UpperCamelCase__       :					List[Any],				UpperCamelCase__       :					int = True			):
 if record_checksum:
  __A  :		Optional[int]       =			shaaaa()
  with open(__lowerCAmelCase,				'rb'			) as f:
   for chunk in iter(lambda: f.read(1 << 20			),				b''			):
    m.update(__lowerCAmelCase			)
   __A  :		Optional[Any]       =			m.hexdigest()
 else:
  __A  :		Any       =			None
 return {"num_bytes": os.path.getsize(__lowerCAmelCase			), "checksum": checksum}


def 			_lowercase       (				UpperCamelCase__       :					List[str]			):
 if dataset_size and config.IN_MEMORY_MAX_SIZE:
  return dataset_size < config.IN_MEMORY_MAX_SIZE
 else:
  return False




'''simple docstring'''
from heapq import heappop, heappush

import numpy as np


def 			_lowercase       (				UpperCamelCase__       :					np.ndarray,				UpperCamelCase__       :					tuple[int, int],				UpperCamelCase__       :					tuple[int, int],				UpperCamelCase__       :					bool,				):
 __A     ,__A  :		Optional[Any]       =			grid.shape
 __A  :		List[Any]       =			[-1, 1, 0, 0]
 __A  :		Optional[int]       =			[0, 0, -1, 1]
 if allow_diagonal:
  dx += [-1, -1, 1, 1]
  dy += [-1, 1, -1, 1]

 __A     ,__A  :		int       =			[(0, source)], set()
 __A  :		Any       =			np.full((rows, cols),				np.inf			)
 __A  :		int       =			0
 __A  :		Any       =			np.empty((rows, cols),				dtype=UpperCamelCase__			)
 __A  :		List[Any]       =			None

 while queue:
  ((__A)     ,(__A))  :		List[Any]       =			heappop(UpperCamelCase__			)
  if (x, y) in visited:
   continue
  visited.add((x, y)			)

  if (x, y) == destination:
   __A  :		Tuple       =			[]
   while (x, y) != source:
    path.append((x, y)			)
    __A     ,__A  :		int       =			predecessors[x, y]
   path.append(UpperCamelCase__			)  # add the source manually
   path.reverse()
   return matrix[destination], path

  for i in range(len(UpperCamelCase__			)			):
   __A     ,__A  :		List[Any]       =			x + dx[i], y + dy[i]
   if 0 <= nx < rows and 0 <= ny < cols:
    __A  :		str       =			grid[nx][ny]
    if next_node == 1 and matrix[nx, ny] > dist + 1:
     heappush(UpperCamelCase__,				(dist + 1, (nx, ny))			)
     __A  :		int       =			dist + 1
     __A  :		List[str]       =			(x, y)

 return np.inf, []


if __name__ == "__main__":
 import doctest

 doctest.testmod()






