
'''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


_lowercase			:  Optional[List[str]]   							=	None
_lowercase			:  List[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
_lowercase			:  List[str]   							=	[
    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__       :
					lowerCAmelCase_					       =					True
					lowerCAmelCase_					       =					None
					# Automatically constructed
					lowerCAmelCase_					       =					'''PIL.Image.Image'''
					lowerCAmelCase_					       =					pa.struct({'''bytes''': pa.binary(), '''path''': pa.string()}					)
					lowerCAmelCase_					       =					field(default='''Image'''   ,						init=_SCREAMING_SNAKE_CASE   ,						repr=_SCREAMING_SNAKE_CASE					)






					def __call__(       self		):


											"""simple docstring"""





											return self.pa_type






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





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

											if isinstance(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		):
																	lowercase_     :					Union[str, Any]													=	np.array(__SCREAMING_SNAKE_CASE		)

											if isinstance(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		):
																	return {"path": value, "bytes": None}
											elif isinstance(__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE		):
																	return {"path": None, "bytes": value}
											elif isinstance(__SCREAMING_SNAKE_CASE    ,							np.ndarray		):
																	# convert the image array to PNG/TIFF bytes
																	return encode_np_array(__SCREAMING_SNAKE_CASE		)
											elif isinstance(__SCREAMING_SNAKE_CASE    ,							PIL.Image.Image		):
																	# convert the PIL image to bytes (default format is PNG/TIFF)
																	return encode_pil_image(__SCREAMING_SNAKE_CASE		)
											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      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE    ,							__SCREAMING_SNAKE_CASE=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:
																	lowercase_     :					Dict													=	{}

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






					def      _snake_case   (       self		):


											"""simple docstring"""





											from .features import Value

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






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											if pa.types.is_string(storage.type		):
																	lowercase_     :					Dict													=	pa.array([None] * len(__SCREAMING_SNAKE_CASE		)    ,							type=pa.binary()		)
																	lowercase_     :					Optional[Any]													=	pa.StructArray.from_arrays([bytes_array, storage]    ,							['''bytes''', '''path''']    ,							mask=storage.is_null()		)
											elif pa.types.is_binary(storage.type		):
																	lowercase_     :					Optional[Any]													=	pa.array([None] * len(__SCREAMING_SNAKE_CASE		)    ,							type=pa.string()		)
																	lowercase_     :					Optional[Any]													=	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:
																							lowercase_     :					Optional[int]													=	storage.field('''bytes'''		)
																	else:
																							lowercase_     :					List[str]													=	pa.array([None] * len(__SCREAMING_SNAKE_CASE		)    ,							type=pa.binary()		)
																	if storage.type.get_field_index('''path'''		) >= 0:
																							lowercase_     :					str													=	storage.field('''path'''		)
																	else:
																							lowercase_     :					Optional[Any]													=	pa.array([None] * len(__SCREAMING_SNAKE_CASE		)    ,							type=pa.string()		)
																	lowercase_     :					List[str]													=	pa.StructArray.from_arrays([bytes_array, path_array]    ,							['''bytes''', '''path''']    ,							mask=storage.is_null()		)
											elif pa.types.is_list(storage.type		):
																	lowercase_     :					Union[str, Any]													=	pa.array(
																	    [encode_np_array(np.array(__SCREAMING_SNAKE_CASE		)		)['''bytes'''] if arr is not None else None for arr in storage.to_pylist()]    ,							type=pa.binary()    ,							)
																	lowercase_     :					List[str]													=	pa.array([None] * len(__SCREAMING_SNAKE_CASE		)    ,							type=pa.string()		)
																	lowercase_     :					List[Any]													=	pa.StructArray.from_arrays(
																	    [bytes_array, path_array]    ,							['''bytes''', '''path''']    ,							mask=bytes_array.is_null()		)
											return array_cast(__SCREAMING_SNAKE_CASE    ,							self.pa_type		)






					def      _snake_case   (       self    ,							__SCREAMING_SNAKE_CASE		):


											"""simple docstring"""





											@no_op_if_value_is_null
											def path_to_bytes(__SCREAMING_SNAKE_CASE		):
																	with xopen(__SCREAMING_SNAKE_CASE    ,							'''rb'''		) as f:
																							lowercase_     :					Union[str, Any]													=	f.read()
																	return bytes_

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







def  snake_case_		(    ):





						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()
												lowercase_     :					str													=	list(set(PIL.Image.OPEN.keys()							) & set(PIL.Image.SAVE.keys()							)							)
						return _IMAGE_COMPRESSION_FORMATS
def  snake_case_		(    __SCREAMING_SNAKE_CASE :			"PIL.Image.Image"							):
						lowercase_     :					Dict													=	BytesIO()
						if image.format in list_image_compression_formats():
												lowercase_     :					List[str]													=	image.format
						else:
												lowercase_     :					Optional[int]													=	"""PNG""" if image.mode in ["""1""", """L""", """LA""", """RGB""", """RGBA"""] else """TIFF"""
						image.save(A__				,				format=A__							)
						return buffer.getvalue()
def  snake_case_		(    __SCREAMING_SNAKE_CASE :			"PIL.Image.Image"							):





						if hasattr(A__				,				'''filename'''							) and image.filename != "":
												return {"path": image.filename, "bytes": None}
						else:
												return {"path": None, "bytes": image_to_bytes(A__							)}
def  snake_case_		(    __SCREAMING_SNAKE_CASE :			np.ndarray							):





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

						lowercase_     :					Tuple													=	array.dtype
						lowercase_     :					Any													=	dtype.byteorder if dtype.byteorder != """=""" else _NATIVE_BYTEORDER
						lowercase_     :					Optional[Any]													=	dtype.kind
						lowercase_     :					Any													=	dtype.itemsize

						lowercase_     :					Optional[int]													=	None

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




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





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

						if objs:
												lowercase_     :					List[str]													=	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							):
																		lowercase_     :					Dict													=	no_op_if_value_is_null(A__							)
																		return [obj_to_image_dict_func(A__							) for obj in objs]
												elif isinstance(A__				,				PIL.Image.Image							):
																		lowercase_     :					str													=	no_op_if_value_is_null(A__							)
																		return [obj_to_image_dict_func(A__							) for obj in objs]
												else:
																		return objs
						else:
												return objs





'''simple docstring'''







from maths.is_square_free import is_square_free
from maths.prime_factors import prime_factors
def  snake_case_		(    __SCREAMING_SNAKE_CASE :			int							):



						"""simple docstring"""





						lowercase_     :					Tuple													=	prime_factors(__SCREAMING_SNAKE_CASE							)
						if is_square_free(__SCREAMING_SNAKE_CASE							):
												return -1 if len(__SCREAMING_SNAKE_CASE							) % 2 else 1
						return 0


if __name__ == "__main__":
							import doctest

							doctest.testmod()



