




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     =			None
_A     =			'''<''' 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     =			[
    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		:
		__snake_case									=   True
		__snake_case									=   None
		# Automatically constructed
		__snake_case									=   "PIL.Image.Image"
		__snake_case									=   pa.struct({'bytes': pa.binary(), 'path': pa.string()}     )
		__snake_case									=   field(default='Image'      ,				init=__lowercase      ,				repr=__lowercase     )



		def __call__(     self   ):







								"""simple docstring"""



								return self.pa_type



		def        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__   ):







								"""simple docstring"""



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

								if isinstance(_a,	_a   ):
														lowerCAmelCase_      			=  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,	UpperCamelCase__,	UpperCamelCase__=None   ):







								"""simple docstring"""



								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:
														lowerCAmelCase_      			=  {}

								lowerCAmelCase_      			=  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   ):
																										lowerCAmelCase_      			=  PIL.Image.open(_a   )
																				else:
																										lowerCAmelCase_      			=  path.split('''::'''   )[-1]
																										try:
																																lowerCAmelCase_      			=  string_to_dict(_a,	config.HUB_DATASETS_URL   )['''repo_id''']
																																lowerCAmelCase_      			=  token_per_repo_id.get(_a   )
																										except ValueError:
																																lowerCAmelCase_      			=  None
																										with xopen(_a,	'''rb''',	use_auth_token=_a   ) as f:
																																lowerCAmelCase_      			=  BytesIO(f.read()   )
																										lowerCAmelCase_      			=  PIL.Image.open(bytes_   )
								else:
														lowerCAmelCase_      			=  PIL.Image.open(BytesIO(bytes_   )   )
								image.load()  # to avoid "Too many open files" errors
								return image



		def        SCREAMING_SNAKE_CASE__			(     self   ):







								"""simple docstring"""



								from .features import Value

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



		def        SCREAMING_SNAKE_CASE__			(     self,	UpperCamelCase__   ):







								"""simple docstring"""



								if pa.types.is_string(storage.type   ):
														lowerCAmelCase_      			=  pa.array([None] * len(_a   ),	type=pa.binary()   )
														lowerCAmelCase_      			=  pa.StructArray.from_arrays([bytes_array, storage],	['''bytes''', '''path'''],	mask=storage.is_null()   )
								elif pa.types.is_binary(storage.type   ):
														lowerCAmelCase_      			=  pa.array([None] * len(_a   ),	type=pa.string()   )
														lowerCAmelCase_      			=  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:
																				lowerCAmelCase_      			=  storage.field('''bytes'''   )
														else:
																				lowerCAmelCase_      			=  pa.array([None] * len(_a   ),	type=pa.binary()   )
														if storage.type.get_field_index('''path'''   ) >= 0:
																				lowerCAmelCase_      			=  storage.field('''path'''   )
														else:
																				lowerCAmelCase_      			=  pa.array([None] * len(_a   ),	type=pa.string()   )
														lowerCAmelCase_      			=  pa.StructArray.from_arrays([bytes_array, path_array],	['''bytes''', '''path'''],	mask=storage.is_null()   )
								elif pa.types.is_list(storage.type   ):
														lowerCAmelCase_      			=  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(),	)
														lowerCAmelCase_      			=  pa.array([None] * len(_a   ),	type=pa.string()   )
														lowerCAmelCase_      			=  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,	UpperCamelCase__   ):







								"""simple docstring"""



								@no_op_if_value_is_null
								def path_to_bytes(UpperCamelCase__   ):
														with xopen(_a,	'''rb'''   ) as f:
																				lowerCAmelCase_      			=  f.read()
														return bytes_

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







def __UpperCamelCase			(       ):

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





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





def __UpperCamelCase			(       _A  ):

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





def __UpperCamelCase			(       _A  ):

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

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

						lowerCAmelCase_      			=  None

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






def __UpperCamelCase			(       _A  ):

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

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







from collections.abc import Callable

class 				UpperCAmelCase_		:
							"""simple docstring"""







							def __init__(			self       ,							_a = None       )    ->    None:
												# Stores actual heap items.
												_a	:    list         =		[]
												# Stores indexes of each item for supporting updates and deletion.
												_a	:    dict         =		{}
												# Stores current size of heap.
												_a	:    Tuple         =		0
												# Stores function used to evaluate the score of an item on which basis ordering
												# will be done.
												_a	:    Dict         =		key or (lambda _a       : x)


							def 				__lowercase				(			self       ,							_a       )    ->    int | None:
												return int((i - 1) / 2       ) if i > 0 else None


							def 				__lowercase				(			self       ,							_a       )    ->    int | None:
												_a	:    Optional[int]         =		int(2 * i + 1       )
												return left if 0 < left < self.size else None


							def 				__lowercase				(			self       ,							_a       )    ->    int | None:
												_a	:    int         =		int(2 * i + 2       )
												return right if 0 < right < self.size else None


							def 				__lowercase				(			self       ,							_a       ,							_a       )    ->    None:
												_a      ,					_a	:    Union[str, Any]         =		(
												    self.pos_map[self.arr[j][0]],
												    self.pos_map[self.arr[i][0]],
												)
												# Then swap the items in the list.
												_a      ,					_a	:    List[Any]         =		self.arr[j], self.arr[i]


							def 				__lowercase				(			self       ,							_a       ,							_a       )    ->    bool:
												return self.arr[i][1] < self.arr[j][1]


							def 				__lowercase				(			self       ,							_a       )    ->    int:
												_a	:    Dict         =		self._left(_a       )
												_a	:    str         =		self._right(_a       )
												_a	:    str         =		i

												if left is not None and not self._cmp(_a       ,							_a       ):
																	_a	:    Optional[Any]         =		left
												if right is not None and not self._cmp(_a       ,							_a       ):
																	_a	:    Any         =		right

												return valid_parent


							def 				__lowercase				(			self       ,							_a       )    ->    None:
												_a	:    List[str]         =		self._parent(_a       )
												while parent is not None and not self._cmp(_a       ,							_a       ):
																	self._swap(_a       ,							_a       )
																	_a      ,					_a	:    Any         =		parent, self._parent(_a       )


							def 				__lowercase				(			self       ,							_a       )    ->    None:
												_a	:    List[Any]         =		self._get_valid_parent(_a       )
												while valid_parent != index:
																	self._swap(_a       ,							_a       )
																	_a      ,					_a	:    int         =		valid_parent, self._get_valid_parent(_a       )


							def 				__lowercase				(			self       ,							_a       ,							_a       )    ->    None:
												if item not in self.pos_map:
																	return
												_a	:    str         =		self.pos_map[item]
												_a	:    List[Any]         =		[item, self.key(_a       )]
												# Make sure heap is right in both up and down direction.
												# Ideally only one of them will make any change.
												self._heapify_up(_a       )
												self._heapify_down(_a       )


							def 				__lowercase				(			self       ,							_a       )    ->    None:
												if item not in self.pos_map:
																	return
												_a	:    Tuple         =		self.pos_map[item]
												del self.pos_map[item]
												_a	:    Tuple         =		self.arr[self.size - 1]
												_a	:    str         =		index
												self.size -= 1
												# Make sure heap is right in both up and down direction. Ideally only one
												# of them will make any change- so no performance loss in calling both.
												if self.size > index:
																	self._heapify_up(_a       )
																	self._heapify_down(_a       )


							def 				__lowercase				(			self       ,							_a       ,							_a       )    ->    None:
												_a	:    Union[str, Any]         =		len(self.arr       )
												if arr_len == self.size:
																	self.arr.append([item, self.key(_a       )]       )
												else:
																	_a	:    Optional[int]         =		[item, self.key(_a       )]
												_a	:    Tuple         =		self.size
												self.size += 1
												self._heapify_up(self.size - 1       )


							def 				__lowercase				(			self       )    ->    tuple | None:
												return self.arr[0] if self.size else None




							def 				__lowercase				(			self       )    ->    tuple | None:
												_a	:    Tuple         =		self.get_top()
												if top_item_tuple:
																	self.delete_item(top_item_tuple[0]       )
												return top_item_tuple



def    __UpperCAmelCase (	)			->     None:

					"""simple docstring"""



if __name__ == "__main__":
			import doctest

			doctest.testmod()



