



'''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


__lowerCAmelCase						      =       None
__lowerCAmelCase						      =       '''<''' 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
__lowerCAmelCase						      =       [
    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      __magic_name__						:
							lowerCAmelCase	:   bool           = True
							lowerCAmelCase	:   Optional[str]           = None
							# Automatically constructed
							lowerCAmelCase	:   ClassVar[str]           = "PIL.Image.Image"
							lowerCAmelCase	:   ClassVar[Any]           = pa.struct({'bytes': pa.binary(), 'path': pa.string()}       )
							lowerCAmelCase	:   str           = field(default='Image'      ,						init=_UpperCamelCase      ,						repr=_UpperCamelCase       )







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







							def 							__lowercase      (							self :	int     ,_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					:				Optional[Any]				=							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 							__lowercase      (							self :	List[str]     ,_UpperCAmelCase :	dict     ,_UpperCAmelCase :	Union[str, Any]=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					:				Dict				=							{}

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







							def 							__lowercase      (							self :	List[Any]		):
									from .features import Value

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







							def 							__lowercase      (							self :	Tuple     ,_UpperCAmelCase :	Union[pa.StringArray, pa.StructArray, pa.ListArray]		):
									if pa.types.is_string(storage.type		):
											_a					:				List[str]				=							pa.array([None] * len(_UpperCAmelCase		)     ,type=pa.binary()		)
											_a					:				Any				=							pa.StructArray.from_arrays([bytes_array, storage]     ,['bytes', 'path']     ,mask=storage.is_null()		)
									elif pa.types.is_binary(storage.type		):
											_a					:				List[Any]				=							pa.array([None] * len(_UpperCAmelCase		)     ,type=pa.string()		)
											_a					:				int				=							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					:				List[Any]				=							storage.field('bytes'		)
											else:
													_a					:				List[Any]				=							pa.array([None] * len(_UpperCAmelCase		)     ,type=pa.binary()		)
											if storage.type.get_field_index('path'		) >= 0:
													_a					:				Union[str, Any]				=							storage.field('path'		)
											else:
													_a					:				Tuple				=							pa.array([None] * len(_UpperCAmelCase		)     ,type=pa.string()		)
											_a					:				Union[str, Any]				=							pa.StructArray.from_arrays([bytes_array, path_array]     ,['bytes', 'path']     ,mask=storage.is_null()		)
									elif pa.types.is_list(storage.type		):
											_a					:				Tuple				=							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					:				str				=							pa.array([None] * len(_UpperCAmelCase		)     ,type=pa.string()		)
											_a					:				int				=							pa.StructArray.from_arrays(
											    [bytes_array, path_array]     ,['bytes', 'path']     ,mask=bytes_array.is_null()		)
									return array_cast(_UpperCAmelCase     ,self.pa_type		)







							def 							__lowercase      (							self :	List[str]     ,_UpperCAmelCase :	pa.StructArray		):

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

									_a					:				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()     ,)
									_a					:				Optional[Any]				=							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					:				str				=							pa.StructArray.from_arrays([bytes_array, path_array]     ,['bytes', 'path']     ,mask=bytes_array.is_null()		)
									return array_cast(_UpperCAmelCase     ,self.pa_type		)



def 					__lowerCamelCase					(				)      ->				List[str]:
		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					:				Union[str, Any]				=							list(set(PIL.Image.OPEN.keys()  ) & set(PIL.Image.SAVE.keys()  )  )
		return _IMAGE_COMPRESSION_FORMATS



def 					__lowerCamelCase					(				lowerCAmelCase_  )      ->				bytes:
		_a					:				Dict				=							BytesIO()
		if image.format in list_image_compression_formats():
				_a					:				str				=							image.format
		else:
				_a					:				Optional[Any]				=							'PNG' if image.mode in ['1', 'L', 'LA', 'RGB', 'RGBA'] else 'TIFF'
		image.save(lowerCAmelCase_						,      format=lowerCAmelCase_  )
		return buffer.getvalue()



def 					__lowerCamelCase					(				lowerCAmelCase_  )      ->				dict:
		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_  )      ->				dict:
		if config.PIL_AVAILABLE:
				import PIL.Image
		else:
				raise ImportError('To support encoding images, please install \'Pillow\'.'  )

		_a					:				str				=							array.dtype
		_a					:				List[Any]				=							dtype.byteorder if dtype.byteorder != '=' else _NATIVE_BYTEORDER
		_a					:				List[str]				=							dtype.kind
		_a					:				str				=							dtype.itemsize

		_a					:				Dict				=							None

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



def 					__lowerCamelCase					(				lowerCAmelCase_  )      ->				List[dict]:
		if config.PIL_AVAILABLE:
				import PIL.Image
		else:
				raise ImportError('To support encoding images, please install \'Pillow\'.'  )

		if objs:
				_a	, _a					:				Any				=							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  ):
						_a					:				List[Any]				=							no_op_if_value_is_null(lowerCAmelCase_  )
						return [obj_to_image_dict_func(lowerCAmelCase_  ) for obj in objs]
				elif isinstance(lowerCAmelCase_						,      PIL.Image.Image  ):
						_a					:				str				=							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'''

import os
import random
import sys

from . import cryptomath_module as cryptomath
from . import rabin_miller

__lowerCAmelCase						      =       3



def 					__lowerCamelCase					(				lowerCAmelCase_  )      ->				int:
		print('Generating primitive root of p'  )
		while True:
				_a					:				List[Any]				=							random.randrange(3						,      lowerCAmelCase_  )
				if pow(lowerCAmelCase_						,      2						,      lowerCAmelCase_  ) == 1:
						continue
				if pow(lowerCAmelCase_						,      lowerCAmelCase_						,      lowerCAmelCase_  ) == 1:
						continue
				return g



def 					__lowerCamelCase					(				lowerCAmelCase_  )      ->				tuple[tuple[int, int, int, int], tuple[int, int]]:
		print('Generating prime p...'  )
		_a					:				int				=							rabin_miller.generate_large_prime(lowerCAmelCase_  )  # select large prime number.
		_a					:				List[str]				=							primitive_root(lowerCAmelCase_  )  # one primitive root on modulo p.
		_a					:				Any				=							random.randrange(3						,      lowerCAmelCase_  )  # private_key -> have to be greater than 2 for safety.
		_a					:				List[Any]				=							cryptomath.find_mod_inverse(pow(lowerCAmelCase_						,      lowerCAmelCase_						,      lowerCAmelCase_  )						,      lowerCAmelCase_  )

		_a					:				Tuple				=							(key_size, e_a, e_a, p)
		_a					:				str				=							(key_size, d)

		return public_key, private_key



def 					__lowerCamelCase					(				lowerCAmelCase_						,      lowerCAmelCase_  )      ->				None:
		if os.path.exists(f"""{name}_pubkey.txt"""  ) or os.path.exists(f"""{name}_privkey.txt"""  ):
				print('\nWARNING:'  )
				print(
				    f"""\"{name}_pubkey.txt\" or \"{name}_privkey.txt\" already exists. \n"""
				    'Use a different name or delete these files and re-run this program.'  )
				sys.exit()

		_a	, _a					:				Dict				=							generate_key(lowerCAmelCase_  )
		print(f"""\nWriting public key to file {name}_pubkey.txt..."""  )
		with open(f"""{name}_pubkey.txt"""						,      'w'  ) as fo:
				fo.write(f"""{public_key[0]},{public_key[1]},{public_key[2]},{public_key[3]}"""  )

		print(f"""Writing private key to file {name}_privkey.txt..."""  )
		with open(f"""{name}_privkey.txt"""						,      'w'  ) as fo:
				fo.write(f"""{private_key[0]},{private_key[1]}"""  )



def 					__lowerCamelCase					(				)      ->				None:
		print('Making key files...'  )
		make_key_files('elgamal'						,      2048  )
		print('Key files generation successful'  )


if __name__ == "__main__":
							main()




