





"""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


_snake_case     :		Optional[List[str]]       						= None
_snake_case     :		Any       						= '<' 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
_snake_case     :		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 					_UpperCAmelCase   :
					UpperCamelCase      =							True
					UpperCamelCase      =							None
					# Automatically constructed
					UpperCamelCase      =							"PIL.Image.Image"
					UpperCamelCase      =							pa.struct({'''bytes''': pa.binary(), '''path''': pa.string()} )
					UpperCamelCase      =							field(default='''Image'''     ,							init=lowercase_     ,							repr=lowercase_ )


					def __call__(					self			:Dict		):
												return self.pa_type


					def 	lowerCamelCase       (					self			:Optional[Any]     ,       __UpperCamelCase			:Union[str, bytes, dict, np.ndarray, "PIL.Image.Image"]		):
												if config.PIL_AVAILABLE:
																			import PIL.Image
												else:
																			raise ImportError("To support encoding images, please install 'Pillow'."		)

												if isinstance(__UpperCamelCase     ,       __UpperCamelCase		):
																			A		=  np.array(__UpperCamelCase		)

												if isinstance(__UpperCamelCase     ,       __UpperCamelCase		):
																			return {"path": value, "bytes": None}
												elif isinstance(__UpperCamelCase     ,       __UpperCamelCase		):
																			return {"path": None, "bytes": value}
												elif isinstance(__UpperCamelCase     ,       np.ndarray		):
																			# convert the image array to PNG/TIFF bytes
																			return encode_np_array(__UpperCamelCase		)
												elif isinstance(__UpperCamelCase     ,       PIL.Image.Image		):
																			# convert the PIL image to bytes (default format is PNG/TIFF)
																			return encode_pil_image(__UpperCamelCase		)
												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     ,       __UpperCamelCase			:dict     ,       __UpperCamelCase			:List[str]=None		):
												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(__UpperCamelCase		):
																																	A		=  PIL.Image.open(__UpperCamelCase		)
																										else:
																																	A		=  path.split("::"		)[-1]
																																	try:
																																								A		=  string_to_dict(__UpperCamelCase     ,       config.HUB_DATASETS_URL		)["repo_id"]
																																								A		=  token_per_repo_id.get(__UpperCamelCase		)
																																	except ValueError:
																																								A		=  None
																																	with xopen(__UpperCamelCase     ,       "rb"     ,       use_auth_token=__UpperCamelCase		) 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			:Optional[int]		):
												from .features import Value

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


					def 	lowerCamelCase       (					self			:Optional[Any]     ,       __UpperCamelCase			:Union[pa.StringArray, pa.StructArray, pa.ListArray]		):
												if pa.types.is_string(storage.type		):
																			A		=  pa.array([None] * len(__UpperCamelCase		)     ,       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(__UpperCamelCase		)     ,       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(__UpperCamelCase		)     ,       type=pa.binary()		)
																			if storage.type.get_field_index("path"		) >= 0:
																										A		=  storage.field("path"		)
																			else:
																										A		=  pa.array([None] * len(__UpperCamelCase		)     ,       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(__UpperCamelCase		)		)["bytes"] if arr is not None else None for arr in storage.to_pylist()]     ,       type=pa.binary()     ,       )
																			A		=  pa.array([None] * len(__UpperCamelCase		)     ,       type=pa.string()		)
																			A		=  pa.StructArray.from_arrays(
																			    [bytes_array, path_array]     ,       ["bytes", "path"]     ,       mask=bytes_array.is_null()		)
												return array_cast(__UpperCamelCase     ,       self.pa_type		)


					def 	lowerCamelCase       (					self			:str     ,       __UpperCamelCase			:pa.StructArray		):

												@no_op_if_value_is_null
												def path_to_bytes(__UpperCamelCase			:List[str]		):
																			with xopen(__UpperCamelCase     ,       "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(__UpperCamelCase		) 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(__UpperCamelCase     ,       self.pa_type		)







def 					A__				(			):
							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 					A__				(			UpperCamelCase       ):
							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(UpperCamelCase					,  format=UpperCamelCase       )
							return buffer.getvalue()






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






def 					A__				(			UpperCamelCase       ):
							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(UpperCamelCase       )
																					A		=  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}"       )
							A		=  PIL.Image.fromarray(array.astype(UpperCamelCase       )       )
							return {"path": None, "bytes": image_to_bytes(UpperCamelCase       )}






def 					A__				(			UpperCamelCase       ):
							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(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       ):
																					A		=  no_op_if_value_is_null(UpperCamelCase       )
																					return [obj_to_image_dict_func(UpperCamelCase       ) for obj in objs]
														elif isinstance(UpperCamelCase					,  PIL.Image.Image       ):
																					A		=  no_op_if_value_is_null(UpperCamelCase       )
																					return [obj_to_image_dict_func(UpperCamelCase       ) for obj in objs]
														else:
																					return objs
							else:
														return objs









"""simple docstring"""
class 					_UpperCAmelCase   :


					def __init__(					self			:List[str]     ,       __UpperCamelCase			:Union[str, Any]     ,       __UpperCamelCase			:Tuple		):
												A		=  name
												A		=  val


					def __str__(					self			:str		):
												return f"{self.__class__.__name__}({self.name}, {self.val})"


					def __lt__(					self			:List[Any]     ,       __UpperCamelCase			:Union[str, Any]		):
												return self.val < other.val







class 					_UpperCAmelCase   :


					def __init__(					self			:List[str]     ,       __UpperCamelCase			:Optional[Any]		):
												A		=  {}
												A		=  {}
												A		=  self.build_heap(__UpperCamelCase		)


					def __getitem__(					self			:int     ,       __UpperCamelCase			:Optional[int]		):
												return self.get_value(__UpperCamelCase		)


					def 	lowerCamelCase       (					self			:List[Any]     ,       __UpperCamelCase			:str		):
												return (idx - 1) // 2


					def 	lowerCamelCase       (					self			:int     ,       __UpperCamelCase			:Optional[Any]		):
												return idx * 2 + 1


					def 	lowerCamelCase       (					self			:Union[str, Any]     ,       __UpperCamelCase			:Optional[int]		):
												return idx * 2 + 2


					def 	lowerCamelCase       (					self			:Optional[Any]     ,       __UpperCamelCase			:str		):
												return self.heap_dict[key]


					def 	lowerCamelCase       (					self			:int     ,       __UpperCamelCase			:Optional[Any]		):
												A		=  len(__UpperCamelCase		) - 1
												A		=  self.get_parent_idx(__UpperCamelCase		)

												for idx, i in enumerate(__UpperCamelCase		):
																			A		=  idx
																			A		=  i.val

												for i in range(__UpperCamelCase     ,       -1     ,       -1		):
																			self.sift_down(__UpperCamelCase     ,       __UpperCamelCase		)
												return array


					def 	lowerCamelCase       (					self			:str     ,       __UpperCamelCase			:Optional[Any]     ,       __UpperCamelCase			:Dict		):
												while True:
																			A		=  self.get_left_child_idx(__UpperCamelCase		)  # noqa: E741
																			A		=  self.get_right_child_idx(__UpperCamelCase		)

																			A		=  idx
																			if l < len(__UpperCamelCase		) and array[l] < array[idx]:
																										A		=  l
																			if r < len(__UpperCamelCase		) 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			:Optional[Any]     ,       __UpperCamelCase			:Optional[int]		):
												A		=  self.get_parent_idx(__UpperCamelCase		)
												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(__UpperCamelCase		)


					def 	lowerCamelCase       (					self			:Any		):
												return self.heap[0]


					def 	lowerCamelCase       (					self			:Tuple		):
												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]     ,       __UpperCamelCase			:Optional[int]		):
												self.heap.append(__UpperCamelCase		)
												A		=  len(self.heap		) - 1
												A		=  node.val
												self.sift_up(len(self.heap		) - 1		)


					def 	lowerCamelCase       (					self			:Tuple		):
												return len(self.heap		) == 0


					def 	lowerCamelCase       (					self			:Any     ,       __UpperCamelCase			:str     ,       __UpperCamelCase			:Dict		):
												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]		)







_snake_case     :		Optional[int]       						= Node('R', -1)
_snake_case     :		Tuple       						= Node('B', 6)
_snake_case     :		Tuple       						= Node('A', 3)
_snake_case     :		Optional[int]       						= Node('X', 1)
_snake_case     :		List[Any]       						= Node('E', 4)

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

# Generating Min-Heap from array
_snake_case     :		Tuple       						= 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, -17)

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

if __name__ == "__main__":
		import doctest

		doctest.testmod()


