


"""simple docstring"""




from heapq import heappop, heappush

import numpy as np

def        lowercase							(		lowerCAmelCase__ :     np.ndarray    ,					lowerCAmelCase__ :     tuple[int, int]    ,					lowerCAmelCase__ :     tuple[int, int]    ,					lowerCAmelCase__ :     bool    ,					) ->      tuple[float | int, list[tuple[int, int]]]:
		__a      ,     __a           =			grid.shape
		__a           =			[-1, 1, 0, 0]
		__a           =			[0, 0, -1, 1]
		if allow_diagonal:
				dx += [-1, -1, 1, 1]
				dy += [-1, 1, -1, 1]

		__a      ,     __a           =			[(0, source)], set()
		__a           =			np.full((rows, cols)    ,					np.inf			)
		__a           =			0
		__a           =			np.empty((rows, cols)    ,					dtype=lowerCAmelCase__			)
		__a           =			None

		while queue:
				((__a)      ,     (__a))           =			heappop(lowerCAmelCase__			)
				if (x, y) in visited:
						continue
				visited.add((x, y)			)

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

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

		return np.inf, []


if __name__ == "__main__":
				import doctest

				doctest.testmod()










"""simple docstring"""




from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union

import pyarrow as pa


if TYPE_CHECKING:
				from .features import FeatureType
@dataclass
class 					__lowerCAmelCase					:


		'''simple docstring'''



		__UpperCAmelCase		:			List[str]
		__UpperCAmelCase		:			Optional[str]										=				None
		# Automatically constructed
		__UpperCAmelCase		:			ClassVar[str]										=				"dict"
		__UpperCAmelCase		:			ClassVar[Any]										=				None
		__UpperCAmelCase		:			str										=				field(default='Translation'     ,			init=__SCREAMING_SNAKE_CASE     ,			repr=__SCREAMING_SNAKE_CASE       )

		def __call__(  self      ):
				return pa.struct({lang: pa.string() for lang in sorted(self.languages      )}      )





		def 			__UpperCAmelCase       (  self      ):
				from .features import Value

				return {k: Value('''string'''      ) for k in sorted(self.languages      )}







@dataclass
class 					__lowerCAmelCase					:


		'''simple docstring'''



		__UpperCAmelCase		:			Optional[List]										=				None
		__UpperCAmelCase		:			Optional[int]										=				None
		__UpperCAmelCase		:			Optional[str]										=				None
		# Automatically constructed
		__UpperCAmelCase		:			ClassVar[str]										=				"dict"
		__UpperCAmelCase		:			ClassVar[Any]										=				None
		__UpperCAmelCase		:			str										=				field(default='TranslationVariableLanguages'     ,			init=__SCREAMING_SNAKE_CASE     ,			repr=__SCREAMING_SNAKE_CASE       )

		def 			__UpperCAmelCase       (  self      ):
				__a           =			sorted(set(self.languages      )      ) if self.languages else None
				__a           =			len(self.languages      ) if self.languages else None

		def __call__(  self      ):
				return pa.struct({'''language''': pa.list_(pa.string()      ), '''translation''': pa.list_(pa.string()      )}      )

		def 			__UpperCAmelCase       (  self							, _a      ):
				__a           =			set(self.languages      )
				if self.languages and set(_a      ) - lang_set:
						raise ValueError(
						    f'''Some languages in example ({', '.join(sorted(set(_a      ) - lang_set      )      )}) are not in valid set ({', '.join(_a      )}).'''      )

				# Convert dictionary into tuples, splitting out cases where there are
				# multiple translations for a single language.
				__a           =			[]
				for lang, text in translation_dict.items():
						if isinstance(_a							, _a      ):
								translation_tuples.append((lang, text)      )
						else:
								translation_tuples.extend([(lang, el) for el in text]      )

        # Ensure translations are in ascending order by language code.
				__a      ,     __a           =			zip(*sorted(_a      )      )

				return {"language": languages, "translation": translations}





		def 			__UpperCAmelCase       (  self      ):
				from .features import Sequence, Value

				return {
				    "language": Sequence(Value('''string'''      )      ),
				    "translation": Sequence(Value('''string'''      )      ),
				}






