
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       _lowerCAmelCase   :
				_lowercase     						=True
				_lowercase     						=None
				# Automatically constructed
				_lowercase     						='''PIL.Image.Image'''
				_lowercase     						=pa.struct({'''bytes''': pa.binary(), '''path''': pa.string()}			)
				_lowercase     						=field(default='''Image'''   , init=lowercase__   , repr=lowercase__			)




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




				def 	__a		(   self							,							_UpperCamelCase	)							-> Tuple:
							if config.PIL_AVAILABLE:
										import PIL.Image
							else:
										raise ImportError("To support encoding images, please install \'Pillow\'."	)

							if isinstance(UpperCAmelCase__							,							UpperCAmelCase__	):
										lowerCAmelCase_         =      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 	__a		(   self							,							_UpperCamelCase							,							_UpperCamelCase=None	)							-> List[Any]:
							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(UpperCAmelCase__	):
																lowerCAmelCase_         =      PIL.Image.open(UpperCAmelCase__	)
													else:
																lowerCAmelCase_         =      path.split("::"	)[-1]
																try:
																			lowerCAmelCase_         =      string_to_dict(UpperCAmelCase__							,							config.HUB_DATASETS_URL	)['''repo_id''']
																			lowerCAmelCase_         =      token_per_repo_id.get(UpperCAmelCase__	)
																except ValueError:
																			lowerCAmelCase_         =      None
																with xopen(UpperCAmelCase__							,							"rb"							,							use_auth_token=UpperCAmelCase__	) 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 	__a		(   self	)							-> Union[str, Any]:
							from .features import Value

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




				def 	__a		(   self							,							_UpperCamelCase	)							-> List[Any]:
							if pa.types.is_string(storage.type	):
										lowerCAmelCase_         =      pa.array([None] * len(UpperCAmelCase__	)							,							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(UpperCAmelCase__	)							,							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(UpperCAmelCase__	)							,							type=pa.binary()	)
										if storage.type.get_field_index("path"	) >= 0:
													lowerCAmelCase_         =      storage.field("path"	)
										else:
													lowerCAmelCase_         =      pa.array([None] * len(UpperCAmelCase__	)							,							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(UpperCAmelCase__	)	)["bytes"] if arr is not None else None for arr in storage.to_pylist()]							,							type=pa.binary()							,							)
										lowerCAmelCase_         =      pa.array([None] * len(UpperCAmelCase__	)							,							type=pa.string()	)
										lowerCAmelCase_         =      pa.StructArray.from_arrays(
										    [bytes_array, path_array]							,							["bytes", "path"]							,							mask=bytes_array.is_null()	)
							return array_cast(UpperCAmelCase__							,							self.pa_type	)




				def 	__a		(   self							,							_UpperCamelCase	)							-> Optional[Any]:

							@no_op_if_value_is_null
							def path_to_bytes(_UpperCamelCase	):
										with xopen(UpperCAmelCase__							,							"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(UpperCAmelCase__	) 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(UpperCAmelCase__							,							self.pa_type	)






def   lowerCamelCase__							(							):




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






def   lowerCamelCase__							(							__lowerCAmelCase    :    "PIL.Image.Image"							):




			"""simple docstring"""


			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(__lowerCAmelCase       ,				format=__lowerCAmelCase							)
			return buffer.getvalue()






def   lowerCamelCase__							(							__lowerCAmelCase    :    "PIL.Image.Image"							):




			"""simple docstring"""


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






def   lowerCamelCase__							(							__lowerCAmelCase    :    np.ndarray							):




			"""simple docstring"""


			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(__lowerCAmelCase							)
									lowerCAmelCase_         =      np.dtype(__lowerCAmelCase							)
									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(__lowerCAmelCase							)							)
			return {"path": None, "bytes": image_to_bytes(__lowerCAmelCase							)}






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






'''simple docstring'''





from __future__ import annotations






def 				_lowerCAmelCase			(   __magic_name__						:     list[float]						)				->  float:
						lowercase :							Any    		=0.0_0
						lowercase :							Tuple    		=0
						for resistor in resistors:
												if resistor <= 0:
																		lowercase :							Dict    		=f'''Resistor at index {index} has a negative or zero value!'''
																		raise ValueError(__magic_name__						)
												first_sum += 1 / float(__magic_name__						)
												index += 1
						return 1 / first_sum






def 				_lowerCAmelCase			(   __magic_name__						:     list[float]						)				->  float:
						lowercase :							Optional[Any]    		=0.0_0
						lowercase :							int    		=0
						for resistor in resistors:
												sum_r += resistor
												if resistor < 0:
																		lowercase :							Tuple    		=f'''Resistor at index {index} has a negative value!'''
																		raise ValueError(__magic_name__						)
												index += 1
						return sum_r


if __name__ == "__main__":
							import doctest

							doctest.testmod()





