


'''simple docstring'''





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


UpperCAmelCase__  			=				None
UpperCAmelCase__  			=				'''<''' 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
UpperCAmelCase__  			=				[
    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 						a__					:





			'''simple docstring'''

			A						:				bool					      =			True
			A						:				Optional[str]					      =			None
			# Automatically constructed
			A						:				ClassVar[str]					      =			"PIL.Image.Image"
			A						:				ClassVar[Any]					      =			pa.struct({'''bytes''': pa.binary(), '''path''': pa.string()}   )
			A						:				str					      =			field(default='''Image'''      ,  init=a_      ,  repr=a_   )
			def __call__(  self							:			Dict	)      ->		Optional[int]:
						return self.pa_type
			def 					lowerCAmelCase     (  self							:			Union[str, Any]			,    lowerCAmelCase_							:			Union[str, bytes, dict, np.ndarray, "PIL.Image.Image"]	)      ->		dict:
						if config.PIL_AVAILABLE:
									import PIL.Image
						else:
									raise ImportError('To support encoding images, please install \'Pillow\'.'	)

						if isinstance(lowerCAmelCase_			,    lowerCAmelCase_	):
									__A=	np.array(lowerCAmelCase_	)

						if isinstance(lowerCAmelCase_			,    lowerCAmelCase_	):
									return {"path": value, "bytes": None}
						elif isinstance(lowerCAmelCase_			,    lowerCAmelCase_	):
									return {"path": None, "bytes": value}
						elif isinstance(lowerCAmelCase_			,    np.ndarray	):
									# convert the image array to PNG/TIFF bytes
									return encode_np_array(lowerCAmelCase_	)
						elif isinstance(lowerCAmelCase_			,    PIL.Image.Image	):
									# convert the PIL image to bytes (default format is PNG/TIFF)
									return encode_pil_image(lowerCAmelCase_	)
						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 					lowerCAmelCase     (  self							:			Dict			,    lowerCAmelCase_							:			dict			,    lowerCAmelCase_							:			List[Any]=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:
									__A=	{}

						__A,	__A=	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(lowerCAmelCase_	):
															__A=	PIL.Image.open(lowerCAmelCase_	)
												else:
															__A=	path.split('::'	)[-1]
															try:
																		__A=	string_to_dict(lowerCAmelCase_			,    config.HUB_DATASETS_URL	)['repo_id']
																		__A=	token_per_repo_id.get(lowerCAmelCase_	)
															except ValueError:
																		__A=	None
															with xopen(lowerCAmelCase_			,    'rb'			,    use_auth_token=lowerCAmelCase_	) as f:
																		__A=	BytesIO(f.read()	)
															__A=	PIL.Image.open(bytes_	)
						else:
									__A=	PIL.Image.open(BytesIO(bytes_	)	)
						image.load()  # to avoid "Too many open files" errors
						return image
			def 					lowerCAmelCase     (  self							:			Any	)      ->		Union["FeatureType", Dict[str, "FeatureType"]]:
						from .features import Value

						return (
						    self
						    if self.decode
						    else {
						        "bytes": Value('binary'	),
						        "path": Value('string'	),
						    }
						)
			def 					lowerCAmelCase     (  self							:			int			,    lowerCAmelCase_							:			Union[pa.StringArray, pa.StructArray, pa.ListArray]	)      ->		pa.StructArray:
						if pa.types.is_string(storage.type	):
									__A=	pa.array([None] * len(lowerCAmelCase_	)			,    type=pa.binary()	)
									__A=	pa.StructArray.from_arrays([bytes_array, storage]			,    ['bytes', 'path']			,    mask=storage.is_null()	)
						elif pa.types.is_binary(storage.type	):
									__A=	pa.array([None] * len(lowerCAmelCase_	)			,    type=pa.string()	)
									__A=	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:
												__A=	storage.field('bytes'	)
									else:
												__A=	pa.array([None] * len(lowerCAmelCase_	)			,    type=pa.binary()	)
									if storage.type.get_field_index('path'	) >= 0:
												__A=	storage.field('path'	)
									else:
												__A=	pa.array([None] * len(lowerCAmelCase_	)			,    type=pa.string()	)
									__A=	pa.StructArray.from_arrays([bytes_array, path_array]			,    ['bytes', 'path']			,    mask=storage.is_null()	)
						elif pa.types.is_list(storage.type	):
									__A=	pa.array(
									    [encode_np_array(np.array(lowerCAmelCase_	)	)['bytes'] if arr is not None else None for arr in storage.to_pylist()]			,    type=pa.binary()			,    )
									__A=	pa.array([None] * len(lowerCAmelCase_	)			,    type=pa.string()	)
									__A=	pa.StructArray.from_arrays(
									    [bytes_array, path_array]			,    ['bytes', 'path']			,    mask=bytes_array.is_null()	)
						return array_cast(lowerCAmelCase_			,    self.pa_type	)

			def 					lowerCAmelCase     (  self							:			Tuple			,    lowerCAmelCase_							:			pa.StructArray	)      ->		pa.StructArray:

						@no_op_if_value_is_null
						def path_to_bytes(lowerCAmelCase_							:			Optional[Any]	):
									with xopen(lowerCAmelCase_			,    'rb'	) as f:
												__A=	f.read()
									return bytes_

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






def 						UpperCAmelCase__(				):






			"""simple docstring"""




			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()
						__A=	list(set(PIL.Image.OPEN.keys() ) & set(PIL.Image.SAVE.keys() ) )
			return _IMAGE_COMPRESSION_FORMATS






def 						UpperCAmelCase__(				_SCREAMING_SNAKE_CASE					: "PIL.Image.Image" ):






			"""simple docstring"""




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






def 						UpperCAmelCase__(				_SCREAMING_SNAKE_CASE					: "PIL.Image.Image" ):






			"""simple docstring"""




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






def 						UpperCAmelCase__(				_SCREAMING_SNAKE_CASE					: np.ndarray ):






			"""simple docstring"""




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

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

			__A=	None

			# Multi-channel array case (only np.dtype("|u1") is allowed)
			if array.shape[2:]:
						__A=	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:
						__A=	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:
									__A=	dtype_byteorder + dtype_kind + str(_SCREAMING_SNAKE_CASE )
									__A=	np.dtype(_SCREAMING_SNAKE_CASE )
									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}""" )
			__A=	PIL.Image.fromarray(array.astype(_SCREAMING_SNAKE_CASE ) )
			return {"path": None, "bytes": image_to_bytes(_SCREAMING_SNAKE_CASE )}






def 						UpperCAmelCase__(				_SCREAMING_SNAKE_CASE					: Union[List[str], List[dict], List[np.ndarray], List["PIL.Image.Image"]] ):






			"""simple docstring"""




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

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







'''simple docstring'''





class 						a__					:





			'''simple docstring'''

			def __init__(  self							:			Tuple			,    lowerCAmelCase_							:			Optional[Any]			,    lowerCAmelCase_							:			Dict	)      ->		List[str]:
						__A=	name
						__A=	val
			def __str__(  self							:			int	)      ->		List[Any]:
						return F"""{self.__class__.__name__}({self.name}, {self.val})"""

			def __lt__(  self							:			Optional[Any]			,    lowerCAmelCase_							:			str	)      ->		List[Any]:
						return self.val < other.val


class 						a__					:





			'''simple docstring'''

			def __init__(  self							:			Tuple			,    lowerCAmelCase_							:			int	)      ->		Any:
						__A=	{}
						__A=	{}
						__A=	self.build_heap(lowerCAmelCase_	)
			def __getitem__(  self							:			int			,    lowerCAmelCase_							:			Dict	)      ->		Tuple:
						return self.get_value(lowerCAmelCase_	)
			def 					lowerCAmelCase     (  self							:			Tuple			,    lowerCAmelCase_							:			List[str]	)      ->		List[str]:
						return (idx - 1) // 2
			def 					lowerCAmelCase     (  self							:			Union[str, Any]			,    lowerCAmelCase_							:			Union[str, Any]	)      ->		List[str]:
						return idx * 2 + 1
			def 					lowerCAmelCase     (  self							:			Optional[Any]			,    lowerCAmelCase_							:			Union[str, Any]	)      ->		Any:
						return idx * 2 + 2
			def 					lowerCAmelCase     (  self							:			str			,    lowerCAmelCase_							:			Union[str, Any]	)      ->		Dict:
						return self.heap_dict[key]
			def 					lowerCAmelCase     (  self							:			List[Any]			,    lowerCAmelCase_							:			List[Any]	)      ->		Tuple:
						__A=	len(lowerCAmelCase_	) - 1
						__A=	self.get_parent_idx(lowerCAmelCase_	)

						for idx, i in enumerate(lowerCAmelCase_	):
									__A=	idx
									__A=	i.val

						for i in range(lowerCAmelCase_			,    -1			,    -1	):
									self.sift_down(lowerCAmelCase_			,    lowerCAmelCase_	)
						return array
			def 					lowerCAmelCase     (  self							:			int			,    lowerCAmelCase_							:			List[Any]			,    lowerCAmelCase_							:			Tuple	)      ->		Dict:
						while True:
									__A=	self.get_left_child_idx(lowerCAmelCase_	)  # noqa: E741
									__A=	self.get_right_child_idx(lowerCAmelCase_	)

									__A=	idx
									if l < len(lowerCAmelCase_	) and array[l] < array[idx]:
												__A=	l
									if r < len(lowerCAmelCase_	) and array[r] < array[smallest]:
												__A=	r

									if smallest != idx:
												__A,	__A=	array[smallest], array[idx]
												(
												    (
												    __A
												),	(
												    __A
												),	
												)=	(
												    self.idx_of_element[array[smallest]],
												    self.idx_of_element[array[idx]],
												)
												__A=	smallest
									else:
												break
			def 					lowerCAmelCase     (  self							:			Dict			,    lowerCAmelCase_							:			Dict	)      ->		str:
						__A=	self.get_parent_idx(lowerCAmelCase_	)
						while p >= 0 and self.heap[p] > self.heap[idx]:
									__A,	__A=	self.heap[idx], self.heap[p]
									__A,	__A=	(
									    self.idx_of_element[self.heap[idx]],
									    self.idx_of_element[self.heap[p]],
									)
									__A=	p
									__A=	self.get_parent_idx(lowerCAmelCase_	)
			def 					lowerCAmelCase     (  self							:			Optional[Any]	)      ->		Tuple:
						return self.heap[0]
			def 					lowerCAmelCase     (  self							:			List[Any]	)      ->		int:
						__A,	__A=	self.heap[-1], self.heap[0]
						__A,	__A=	(
						    self.idx_of_element[self.heap[-1]],
						    self.idx_of_element[self.heap[0]],
						)

						__A=	self.heap.pop()
						del self.idx_of_element[x]
						self.sift_down(0			,    self.heap	)
						return x
			def 					lowerCAmelCase     (  self							:			Optional[int]			,    lowerCAmelCase_							:			Union[str, Any]	)      ->		Optional[int]:
						self.heap.append(lowerCAmelCase_	)
						__A=	len(self.heap	) - 1
						__A=	node.val
						self.sift_up(len(self.heap	) - 1	)
			def 					lowerCAmelCase     (  self							:			Optional[Any]	)      ->		Tuple:
						return len(self.heap	) == 0

			def 					lowerCAmelCase     (  self							:			Optional[int]			,    lowerCAmelCase_							:			List[Any]			,    lowerCAmelCase_							:			List[Any]	)      ->		Optional[Any]:
						assert (
						    self.heap[self.idx_of_element[node]].val > new_value
						), "newValue must be less that current value"
						__A=	new_value
						__A=	new_value
						self.sift_up(self.idx_of_element[node]	)


UpperCAmelCase__  			=				Node('''R''', -1)
UpperCAmelCase__  			=				Node('''B''', 6)
UpperCAmelCase__  			=				Node('''A''', 3)
UpperCAmelCase__  			=				Node('''X''', 1)
UpperCAmelCase__  			=				Node('''E''', 4)

# Use one of these two ways to generate Min-Heap

# Generating Min-Heap from array
UpperCAmelCase__  			=				MinHeap([r, b, a, x, e])

# Generating Min-Heap by Insert method
# myMinHeap.insert(a)
# myMinHeap.insert(b)
# myMinHeap.insert(x)
# myMinHeap.insert(r)
# myMinHeap.insert(e)

# Before
print('''Min Heap - before decrease key''')
for i in my_min_heap.heap:
					print(i)

print('''Min Heap - After decrease key of node [B -> -17]''')
my_min_heap.decrease_key(b, -1_7)

# After
for i in my_min_heap.heap:
					print(i)

if __name__ == "__main__":
					import doctest

					doctest.testmod()



