'''simple docstring'''

import os
import random
import sys

from . import cryptomath_module as cryptomath
from . import rabin_miller

lowerCAmelCase_ : Dict						  =      3


def __a (	__lowerCamelCase			:						int				)	->							int:
      '''simple docstring'''


      print("Generating primitive root of p"				)
      while True:
            lowercase_     =      random.randrange(3 ,		__lowerCamelCase				)
            if pow(__lowerCamelCase ,		2 ,		__lowerCamelCase				) == 1:
                  continue
            if pow(__lowerCamelCase ,		__lowerCamelCase ,		__lowerCamelCase				) == 1:
                  continue
            return g


def __a (	__lowerCamelCase			:						int				)	->							tuple[tuple[int, int, int, int], tuple[int, int]]:
      '''simple docstring'''


      print("Generating prime p..."				)
      lowercase_     =      rabin_miller.generate_large_prime(__lowerCamelCase				)  # select large prime number.
      lowercase_     =      primitive_root(__lowerCamelCase				)  # one primitive root on modulo p.
      lowercase_     =      random.randrange(3 ,		__lowerCamelCase				)  # private_key -> have to be greater than 2 for safety.
      lowercase_     =      cryptomath.find_mod_inverse(pow(__lowerCamelCase ,		__lowerCamelCase ,		__lowerCamelCase				) ,		__lowerCamelCase				)

      lowercase_     =      (key_size, e_a, e_a, p)
      lowercase_     =      (key_size, d)

      return public_key, private_key


def __a (	__lowerCamelCase			:						str ,		__lowerCamelCase			:						int				)	->							None:
      '''simple docstring'''


      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()

      lowercase_ ,							lowercase_     =      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 __a (	)	->							None:
      '''simple docstring'''


      print("Making key files..."				)
      make_key_files("elgamal" ,		2_048				)
      print("Key files generation successful"				)


if __name__ == "__main__":
       main()







'''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_ : Optional[List[str]]						  =      None
lowerCAmelCase_ : str						  =      "<" 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_ : Any						  =      [
    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 							lowercase						:
   lowerCamelCase_    					=True
   lowerCamelCase_    					=None
   # Automatically constructed
   lowerCamelCase_    					="PIL.Image.Image"
   lowerCamelCase_    					=pa.struct({'bytes': pa.binary(), 'path': pa.string()} )
   lowerCamelCase_    					=field(default='Image' ,				init=__lowerCamelCase ,				repr=__lowerCamelCase )


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


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

         if isinstance(__lowerCAmelCase   ,		__lowerCAmelCase):
               lowercase_     =      np.array(__lowerCAmelCase)

         if isinstance(__lowerCAmelCase   ,		__lowerCAmelCase):
               return {"path": value, "bytes": None}
         elif isinstance(__lowerCAmelCase   ,		__lowerCAmelCase):
               return {"path": None, "bytes": value}
         elif isinstance(__lowerCAmelCase   ,		np.ndarray):
               # convert the image array to PNG/TIFF bytes
               return encode_np_array(__lowerCAmelCase)
         elif isinstance(__lowerCAmelCase   ,		PIL.Image.Image):
               # convert the PIL image to bytes (default format is PNG/TIFF)
               return encode_pil_image(__lowerCAmelCase)
         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 __UpperCAmelCase       (   self				:	Union[str, Any]   ,		__lowerCAmelCase				:	dict   ,		__lowerCAmelCase				:	Dict=None)      ->					"PIL.Image.Image":
         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_     =      {}

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


   def __UpperCAmelCase       (   self				:	Tuple)      ->					Union["FeatureType", Dict[str, "FeatureType"]]:
         from .features import Value

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


   def __UpperCAmelCase       (   self				:	str   ,		__lowerCAmelCase				:	Union[pa.StringArray, pa.StructArray, pa.ListArray])      ->					pa.StructArray:
         if pa.types.is_string(storage.type):
               lowercase_     =      pa.array([None] * len(__lowerCAmelCase)   ,		type=pa.binary())
               lowercase_     =      pa.StructArray.from_arrays([bytes_array, storage]   ,		["bytes", "path"]   ,		mask=storage.is_null())
         elif pa.types.is_binary(storage.type):
               lowercase_     =      pa.array([None] * len(__lowerCAmelCase)   ,		type=pa.string())
               lowercase_     =      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_     =      storage.field("bytes")
               else:
                     lowercase_     =      pa.array([None] * len(__lowerCAmelCase)   ,		type=pa.binary())
               if storage.type.get_field_index("path") >= 0:
                     lowercase_     =      storage.field("path")
               else:
                     lowercase_     =      pa.array([None] * len(__lowerCAmelCase)   ,		type=pa.string())
               lowercase_     =      pa.StructArray.from_arrays([bytes_array, path_array]   ,		["bytes", "path"]   ,		mask=storage.is_null())
         elif pa.types.is_list(storage.type):
               lowercase_     =      pa.array(
                   [encode_np_array(np.array(__lowerCAmelCase))["bytes"] if arr is not None else None for arr in storage.to_pylist()]   ,		type=pa.binary()   ,		)
               lowercase_     =      pa.array([None] * len(__lowerCAmelCase)   ,		type=pa.string())
               lowercase_     =      pa.StructArray.from_arrays(
                   [bytes_array, path_array]   ,		["bytes", "path"]   ,		mask=bytes_array.is_null())
         return array_cast(__lowerCAmelCase   ,		self.pa_type)


   def __UpperCAmelCase       (   self				:	List[Any]   ,		__lowerCAmelCase				:	pa.StructArray)      ->					pa.StructArray:

         @no_op_if_value_is_null
         def path_to_bytes(__lowerCAmelCase				:	int):
               with xopen(__lowerCAmelCase   ,		"rb") as f:
                     lowercase_     =      f.read()
               return bytes_

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




def __a (	)	->							List[str]:
      '''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()
            lowercase_     =      list(set(PIL.Image.OPEN.keys()				) & set(PIL.Image.SAVE.keys()				)				)
      return _IMAGE_COMPRESSION_FORMATS


def __a (	__lowerCamelCase			:						"PIL.Image.Image"				)	->							bytes:
      '''simple docstring'''


      lowercase_     =      BytesIO()
      if image.format in list_image_compression_formats():
            lowercase_     =      image.format
      else:
            lowercase_     =      "PNG" if image.mode in ["1", "L", "LA", "RGB", "RGBA"] else "TIFF"
      image.save(__lowerCamelCase ,		format=__lowerCamelCase				)
      return buffer.getvalue()


def __a (	__lowerCamelCase			:						"PIL.Image.Image"				)	->							dict:
      '''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 __a (	__lowerCamelCase			:						np.ndarray				)	->							dict:
      '''simple docstring'''


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

      lowercase_     =      array.dtype
      lowercase_     =      dtype.byteorder if dtype.byteorder != "=" else _NATIVE_BYTEORDER
      lowercase_     =      dtype.kind
      lowercase_     =      dtype.itemsize

      lowercase_     =      None

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






def __a (	__lowerCamelCase			:						Union[List[str], List[dict], List[np.ndarray], List["PIL.Image.Image"]]				)	->							List[dict]:
      '''simple docstring'''


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

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






