






import os
import sys
import warnings
from dataclasses import dataclass, field
from io import BytesIO
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union

import numpy as np
import pyarrow as pa

from .. import config
from ..download.streaming_download_manager import xopen
from ..table import array_cast
from ..utils.file_utils import is_local_path
from ..utils.py_utils import first_non_null_value, no_op_if_value_is_null, string_to_dict


if TYPE_CHECKING:
				import PIL.Image

				from .features import FeatureType


a_		:						Optional[List[str]]             =    None
a_		:						Optional[int]             =    '<' if sys.byteorder == 'little' else '>'
# Origin: https://github.com/python-pillow/Pillow/blob/698951e19e19972aeed56df686868f1329981c12/src/PIL/Image.py#L3126 minus "|i1" which values are not preserved correctly when saving and loading an image
a_		:						Dict             =    [
    np.dtype('|b1'),
    np.dtype('|u1'),
    np.dtype('<u2'),
    np.dtype('>u2'),
    np.dtype('<i2'),
    np.dtype('>i2'),
    np.dtype('<u4'),
    np.dtype('>u4'),
    np.dtype('<i4'),
    np.dtype('>i4'),
    np.dtype('<f4'),
    np.dtype('>f4'),
    np.dtype('<f8'),
    np.dtype('>f8'),
]

@dataclass
class 		_snake_case  :
			_lowercase		:    bool			     =							True
			_lowercase		:    Optional[str]			     =							None
			# Automatically constructed
			_lowercase		:    ClassVar[str]			     =							"PIL.Image.Image"
			_lowercase		:    ClassVar[Any]			     =							pa.struct({'''bytes''': pa.binary(), '''path''': pa.string()}					)
			_lowercase		:    str			     =							field(default='''Image'''   ,    init=A__   ,    repr=A__					)






			def __call__(       self)      ->       List[Any]:
						return self.pa_type






			def    SCREAMING_SNAKE_CASE__    (       self		,					a)      ->       dict:
						if config.PIL_AVAILABLE:
									import PIL.Image
						else:
									raise ImportError('To support encoding images, please install \'Pillow\'.')

						if isinstance(a		,					a):
									SCREAMING_SNAKE_CASE						= np.array(a)

						if isinstance(a		,					a):
									return {"path": value, "bytes": None}
						elif isinstance(a		,					a):
									return {"path": None, "bytes": value}
						elif isinstance(a		,					np.ndarray):
									# convert the image array to PNG/TIFF bytes
									return encode_np_array(a)
						elif isinstance(a		,					PIL.Image.Image):
									# convert the PIL image to bytes (default format is PNG/TIFF)
									return encode_pil_image(a)
						elif value.get('path') is not None and os.path.isfile(value['path']):
									# we set "bytes": None to not duplicate the data if they're already available locally
									return {"bytes": None, "path": value.get('path')}
						elif value.get('bytes') is not None or value.get('path') is not None:
									# store the image bytes, and path is used to infer the image format using the file extension
									return {"bytes": value.get('bytes'), "path": value.get('path')}
						else:
									raise ValueError(
									    f'''An image sample should have one of \'path\' or \'bytes\' but they are missing or None in {value}.''')






			def    SCREAMING_SNAKE_CASE__    (       self		,					a		,					a=None)      ->       "PIL.Image.Image":
						if not self.decode:
									raise RuntimeError('Decoding is disabled for this feature. Please use Image(decode=True) instead.')

						if config.PIL_AVAILABLE:
									import PIL.Image
						else:
									raise ImportError('To support decoding images, please install \'Pillow\'.')

						if token_per_repo_id is None:
									SCREAMING_SNAKE_CASE						= {}

						SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE						= value['path'], value['bytes']
						if bytes_ is None:
									if path is None:
												raise ValueError(f'''An image should have one of \'path\' or \'bytes\' but both are None in {value}.''')
									else:
												if is_local_path(a):
															SCREAMING_SNAKE_CASE						= PIL.Image.open(a)
												else:
															SCREAMING_SNAKE_CASE						= path.split('::')[-1]
															try:
																		SCREAMING_SNAKE_CASE						= string_to_dict(a		,					config.HUB_DATASETS_URL)['repo_id']
																		SCREAMING_SNAKE_CASE						= token_per_repo_id.get(a)
															except ValueError:
																		SCREAMING_SNAKE_CASE						= None
															with xopen(a		,					'rb'		,					use_auth_token=a) as f:
																		SCREAMING_SNAKE_CASE						= BytesIO(f.read())
															SCREAMING_SNAKE_CASE						= PIL.Image.open(bytes_)
						else:
									SCREAMING_SNAKE_CASE						= PIL.Image.open(BytesIO(bytes_))
						image.load()  # to avoid "Too many open files" errors
						return image






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Union["FeatureType", Dict[str, "FeatureType"]]:
						from .features import Value

						return (
						    self
						    if self.decode
						    else {
						        "bytes": Value('binary'),
						        "path": Value('string'),
						    }
						)






			def    SCREAMING_SNAKE_CASE__    (       self		,					a)      ->       pa.StructArray:
						if pa.types.is_string(storage.type):
									SCREAMING_SNAKE_CASE						= pa.array([None] * len(a)		,					type=pa.binary())
									SCREAMING_SNAKE_CASE						= pa.StructArray.from_arrays([bytes_array, storage]		,					['bytes', 'path']		,					mask=storage.is_null())
						elif pa.types.is_binary(storage.type):
									SCREAMING_SNAKE_CASE						= pa.array([None] * len(a)		,					type=pa.string())
									SCREAMING_SNAKE_CASE						= pa.StructArray.from_arrays([storage, path_array]		,					['bytes', 'path']		,					mask=storage.is_null())
						elif pa.types.is_struct(storage.type):
									if storage.type.get_field_index('bytes') >= 0:
												SCREAMING_SNAKE_CASE						= storage.field('bytes')
									else:
												SCREAMING_SNAKE_CASE						= pa.array([None] * len(a)		,					type=pa.binary())
									if storage.type.get_field_index('path') >= 0:
												SCREAMING_SNAKE_CASE						= storage.field('path')
									else:
												SCREAMING_SNAKE_CASE						= pa.array([None] * len(a)		,					type=pa.string())
									SCREAMING_SNAKE_CASE						= pa.StructArray.from_arrays([bytes_array, path_array]		,					['bytes', 'path']		,					mask=storage.is_null())
						elif pa.types.is_list(storage.type):
									SCREAMING_SNAKE_CASE						= pa.array(
									    [encode_np_array(np.array(a))['bytes'] if arr is not None else None for arr in storage.to_pylist()]		,					type=pa.binary()		,					)
									SCREAMING_SNAKE_CASE						= pa.array([None] * len(a)		,					type=pa.string())
									SCREAMING_SNAKE_CASE						= pa.StructArray.from_arrays(
									    [bytes_array, path_array]		,					['bytes', 'path']		,					mask=bytes_array.is_null())
						return array_cast(a		,					self.pa_type)







			def    SCREAMING_SNAKE_CASE__    (       self		,					a)      ->       pa.StructArray:

						@no_op_if_value_is_null
						def path_to_bytes(a):
									with xopen(a		,					'rb') as f:
												SCREAMING_SNAKE_CASE						= f.read()
									return bytes_

						SCREAMING_SNAKE_CASE						= pa.array(
						    [
						        (path_to_bytes(x['path']) if x['bytes'] is None else x['bytes']) if x is not None else None
						        for x in storage.to_pylist()
						    ]		,					type=pa.binary()		,					)
						SCREAMING_SNAKE_CASE						= pa.array(
						    [os.path.basename(a) if path is not None else None for path in storage.field('path').to_pylist()]		,					type=pa.string()		,					)
						SCREAMING_SNAKE_CASE						= pa.StructArray.from_arrays([bytes_array, path_array]		,					['bytes', 'path']		,					mask=bytes_array.is_null())
						return array_cast(a		,					self.pa_type)






def 				lowerCamelCase__				():
			if config.PIL_AVAILABLE:
						import PIL.Image
			else:
						raise ImportError('To support encoding images, please install \'Pillow\'.')

			global _IMAGE_COMPRESSION_FORMATS
			if _IMAGE_COMPRESSION_FORMATS is None:
						PIL.Image.init()
						SCREAMING_SNAKE_CASE						= list(set(PIL.Image.OPEN.keys()) & set(PIL.Image.SAVE.keys()))
			return _IMAGE_COMPRESSION_FORMATS






def 				lowerCamelCase__				(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE						= BytesIO()
			if image.format in list_image_compression_formats():
						SCREAMING_SNAKE_CASE						= image.format
			else:
						SCREAMING_SNAKE_CASE						= 'PNG' if image.mode in ['1', 'L', 'LA', 'RGB', 'RGBA'] else 'TIFF'
			image.save(_UpperCAmelCase							,       format=_UpperCAmelCase)
			return buffer.getvalue()






def 				lowerCamelCase__				(_UpperCAmelCase):
			if hasattr(_UpperCAmelCase							,       'filename') and image.filename != "":
						return {"path": image.filename, "bytes": None}
			else:
						return {"path": None, "bytes": image_to_bytes(_UpperCAmelCase)}






def 				lowerCamelCase__				(_UpperCAmelCase):
			if config.PIL_AVAILABLE:
						import PIL.Image
			else:
						raise ImportError('To support encoding images, please install \'Pillow\'.')

			SCREAMING_SNAKE_CASE						= array.dtype
			SCREAMING_SNAKE_CASE						= dtype.byteorder if dtype.byteorder != '=' else _NATIVE_BYTEORDER
			SCREAMING_SNAKE_CASE						= dtype.kind
			SCREAMING_SNAKE_CASE						= dtype.itemsize

			SCREAMING_SNAKE_CASE						= None

			# Multi-channel array case (only np.dtype("|u1") is allowed)
			if array.shape[2:]:
						SCREAMING_SNAKE_CASE						= np.dtype('|u1')
						if dtype_kind not in ["u", "i"]:
									raise TypeError(
									    F'''Unsupported array dtype {dtype} for image encoding. Only {dest_dtype} is supported for multi-channel arrays.''')
						if dtype is not dest_dtype:
									warnings.warn(F'''Downcasting array dtype {dtype} to {dest_dtype} to be compatible with \'Pillow\'''')
    # Exact match
			elif dtype in _VALID_IMAGE_ARRAY_DTPYES:
						SCREAMING_SNAKE_CASE						= dtype
			else:  # Downcast the type within the kind (np.can_cast(from_type, to_type, casting="same_kind") doesn't behave as expected, so do it manually)
						while dtype_itemsize >= 1:
									SCREAMING_SNAKE_CASE						= dtype_byteorder + dtype_kind + str(_UpperCAmelCase)
									SCREAMING_SNAKE_CASE						= np.dtype(_UpperCAmelCase)
									if dest_dtype in _VALID_IMAGE_ARRAY_DTPYES:
												warnings.warn(F'''Downcasting array dtype {dtype} to {dest_dtype} to be compatible with \'Pillow\'''')
												break
									else:
												dtype_itemsize //= 2

			if dest_dtype is None:
						raise TypeError(
						    F'''Cannot convert dtype {dtype} to a valid image dtype. Valid image dtypes: {_VALID_IMAGE_ARRAY_DTPYES}''')
			SCREAMING_SNAKE_CASE						= PIL.Image.fromarray(array.astype(_UpperCAmelCase))
			return {"path": None, "bytes": image_to_bytes(_UpperCAmelCase)}







def 				lowerCamelCase__				(_UpperCAmelCase):
			if config.PIL_AVAILABLE:
						import PIL.Image
			else:
						raise ImportError('To support encoding images, please install \'Pillow\'.')

			if objs:
						SCREAMING_SNAKE_CASE				,						SCREAMING_SNAKE_CASE						= first_non_null_value(_UpperCAmelCase)
						if isinstance(_UpperCAmelCase							,       _UpperCAmelCase):
									return [{"path": obj, "bytes": None} if obj is not None else None for obj in objs]
						if isinstance(_UpperCAmelCase							,       np.ndarray):
									SCREAMING_SNAKE_CASE						= no_op_if_value_is_null(_UpperCAmelCase)
									return [obj_to_image_dict_func(_UpperCAmelCase) for obj in objs]
						elif isinstance(_UpperCAmelCase							,       PIL.Image.Image):
									SCREAMING_SNAKE_CASE						= no_op_if_value_is_null(_UpperCAmelCase)
									return [obj_to_image_dict_func(_UpperCAmelCase) for obj in objs]
						else:
									return objs
			else:
						return objs












from __future__ import annotations

import time

a_		:						Tuple             =    list[tuple[int, int]]

a_		:						Optional[int]             =    [
    [0, 0, 0, 0, 0, 0, 0],
    [0, 1, 0, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0],
    [1, 0, 1, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 1, 0, 0],
]

a_		:						Dict             =    [[-1, 0], [0, -1], [1, 0], [0, 1]]  # up, left, down, right

class 		_snake_case  :






			def __init__(       self		,					a		,					a		,					a		,					a		,					a)      ->       int:
						SCREAMING_SNAKE_CASE						= pos_x
						SCREAMING_SNAKE_CASE						= pos_y
						SCREAMING_SNAKE_CASE						= (pos_y, pos_x)
						SCREAMING_SNAKE_CASE						= goal_x
						SCREAMING_SNAKE_CASE						= goal_y
						SCREAMING_SNAKE_CASE						= parent



class 		_snake_case  :






			def __init__(       self		,					a		,					a)      ->       Dict:
						SCREAMING_SNAKE_CASE						= Node(start[1]		,					start[0]		,					goal[1]		,					goal[0]		,					a)
						SCREAMING_SNAKE_CASE						= Node(goal[1]		,					goal[0]		,					goal[1]		,					goal[0]		,					a)

						SCREAMING_SNAKE_CASE						= [self.start]
						SCREAMING_SNAKE_CASE						= False






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Path | None:
						while self.node_queue:
									SCREAMING_SNAKE_CASE						= self.node_queue.pop(0)

									if current_node.pos == self.target.pos:
												SCREAMING_SNAKE_CASE						= True
												return self.retrace_path(a)

									SCREAMING_SNAKE_CASE						= self.get_successors(a)

									for node in successors:
												self.node_queue.append(a)

						if not self.reached:
									return [self.start.pos]
						return None






			def    SCREAMING_SNAKE_CASE__    (       self		,					a)      ->       list[Node]:
						SCREAMING_SNAKE_CASE						= []
						for action in delta:
									SCREAMING_SNAKE_CASE						= parent.pos_x + action[1]
									SCREAMING_SNAKE_CASE						= parent.pos_y + action[0]
									if not (0 <= pos_x <= len(grid[0]) - 1 and 0 <= pos_y <= len(a) - 1):
												continue

									if grid[pos_y][pos_x] != 0:
												continue

									successors.append(
									    Node(a		,					a		,					self.target.pos_y		,					self.target.pos_x		,					a))
						return successors







			def    SCREAMING_SNAKE_CASE__    (       self		,					a)      ->       Path:
						SCREAMING_SNAKE_CASE						= node
						SCREAMING_SNAKE_CASE						= []
						while current_node is not None:
									path.append((current_node.pos_y, current_node.pos_x))
									SCREAMING_SNAKE_CASE						= current_node.parent
						path.reverse()
						return path



class 		_snake_case  :






			def __init__(       self		,					a		,					a)      ->       Tuple:
						SCREAMING_SNAKE_CASE						= BreadthFirstSearch(a		,					a)
						SCREAMING_SNAKE_CASE						= BreadthFirstSearch(a		,					a)
						SCREAMING_SNAKE_CASE						= False






			def    SCREAMING_SNAKE_CASE__    (       self)      ->       Path | None:
						while self.fwd_bfs.node_queue or self.bwd_bfs.node_queue:
									SCREAMING_SNAKE_CASE						= self.fwd_bfs.node_queue.pop(0)
									SCREAMING_SNAKE_CASE						= self.bwd_bfs.node_queue.pop(0)

									if current_bwd_node.pos == current_fwd_node.pos:
												SCREAMING_SNAKE_CASE						= True
												return self.retrace_bidirectional_path(
												    a		,					a)

									SCREAMING_SNAKE_CASE						= current_bwd_node
									SCREAMING_SNAKE_CASE						= current_fwd_node

									SCREAMING_SNAKE_CASE						= {
									    self.fwd_bfs: self.fwd_bfs.get_successors(a),
									    self.bwd_bfs: self.bwd_bfs.get_successors(a),
									}

									for bfs in [self.fwd_bfs, self.bwd_bfs]:
												for node in successors[bfs]:
															bfs.node_queue.append(a)

						if not self.reached:
									return [self.fwd_bfs.start.pos]
						return None







			def    SCREAMING_SNAKE_CASE__    (       self		,					a		,					a)      ->       Path:
						SCREAMING_SNAKE_CASE						= self.fwd_bfs.retrace_path(a)
						SCREAMING_SNAKE_CASE						= self.bwd_bfs.retrace_path(a)
						bwd_path.pop()
						bwd_path.reverse()
						SCREAMING_SNAKE_CASE						= fwd_path + bwd_path
						return path


if __name__ == "__main__":
				# all coordinates are given in format [y,x]
				import doctest

				doctest.testmod()
				a_		:						Union[str, Any]             =    (0, 0)
				a_		:						Any             =    (len(grid) - 1, len(grid[0]) - 1)
				for elem in grid:
								print(elem)

				a_		:						Optional[Any]             =    time.time()
				a_		:						Union[str, Any]             =    BreadthFirstSearch(init, goal)
				a_		:						Optional[Any]             =    bfs.search()
				a_		:						List[str]             =    time.time() - start_bfs_time

				print('Unidirectional BFS computation time : ', bfs_time)

				a_		:						Optional[int]             =    time.time()
				a_		:						Union[str, Any]             =    BidirectionalBreadthFirstSearch(init, goal)
				a_		:						List[Any]             =    bd_bfs.search()
				a_		:						List[str]             =    time.time() - start_bd_bfs_time

				print('Bidirectional BFS computation time : ', bd_bfs_time)




