






from __future__ import annotations

UpperCAmelCase_ :						int      =      [
    [-1, 0],  # left
    [0, -1],  # down
    [1, 0],  # right
    [0, 1],  # up
]

def    SCREAMING_SNAKE_CASE_							(							__magic_name__					:  list[list[int]]	,			__magic_name__					:  list[int]	,			__magic_name__					:  list[int]	,			__magic_name__					:  int	,			__magic_name__					:  list[list[int]]	,			)		->			tuple[list[list[int]], list[list[int]]]:






	"""simple docstring"""



	UpperCamelCase     :int          =	[
	    [0 for col in range(len(grid[0]					)					)] for row in range(len(__magic_name__					)					)
	]  # the reference grid
	UpperCamelCase     :Tuple          =	1
	UpperCamelCase     :List[Any]          =	[
	    [0 for col in range(len(grid[0]					)					)] for row in range(len(__magic_name__					)					)
	]  # the action grid

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

	UpperCamelCase     :Any          =	False  # flag that is set when search is complete
	UpperCamelCase     :Union[str, Any]          =	False  # flag set if we can't find expand

	while not found and not resign:
		if len(__magic_name__					) == 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()
			UpperCamelCase     :Dict          =	cell.pop()
			UpperCamelCase     :Dict          =	next_cell[2]
			UpperCamelCase     :List[Any]          =	next_cell[3]
			UpperCamelCase     :List[str]          =	next_cell[1]

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

	UpperCamelCase     :Optional[int]          =	[]
	for i in range(len(__magic_name__					)					):
		path.append(invpath[len(__magic_name__					) - 1 - i]					)
	return path, action


if __name__ == "__main__":
	UpperCAmelCase_ :						Optional[int]      =      [
	    [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],
	]

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

	# the cost map which pushes the path closer to the goal
	UpperCAmelCase_ :						List[Any]      =      [[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])):
			UpperCAmelCase_ :						int      =      abs(i - goal[0]) + abs(j - goal[1])
			if grid[i][j] == 1:
				# added extra penalty in the heuristic map
				UpperCAmelCase_ :						Union[str, Any]      =      99

	UpperCAmelCase_  ,				UpperCAmelCase_ :						List[str]      =      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])








# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from ..models.whisper import WhisperForConditionalGeneration, WhisperProcessor
from .base import PipelineTool

class     _SCREAMING_SNAKE_CASE       (			_a      ):
	snake_case__							:     Any     	=  """openai/whisper-base"""
	snake_case__							:     Optional[int]     	=  (
	    """This is a tool that transcribes an audio into text. It takes an input named `audio` and returns the """
	    """transcribed text."""
	)
	snake_case__							:     Any     	=  """transcriber"""
	snake_case__							:     Optional[int]     	=  WhisperProcessor
	snake_case__							:     str     	=  WhisperForConditionalGeneration

	snake_case__							:     Optional[Any]     	=  ["""audio"""]
	snake_case__							:     Any     	=  ["""text"""]





	def 						_A (		self				:					str ,  __lowerCamelCase				:					Dict	):
		return self.pre_processor(__lowerCamelCase ,  return_tensors="""pt"""	).input_features





	def 						_A (		self				:					Dict ,  __lowerCamelCase				:					List[Any]	):
		return self.model.generate(inputs=__lowerCamelCase	)





	def 						_A (		self				:					Any ,  __lowerCamelCase				:					Optional[Any]	):
		return self.pre_processor.batch_decode(__lowerCamelCase ,  skip_special_tokens=__lowerCamelCase	)[0]
