
'''simple docstring'''







# Lint as: python3
import sys
from collections.abc import Mapping
from typing import TYPE_CHECKING

import numpy as np
import pyarrow as pa

from .. import config
from ..utils.py_utils import map_nested
from .formatting import TensorFormatter


if TYPE_CHECKING:
						import tensorflow as tf


class       lowerCAmelCase			(					TensorFormatter[Mapping, """tf.Tensor""", Mapping]      ):




		def __init__(					self       ,    UpperCamelCase=None       ,    **UpperCamelCase   ):
								super().__init__(features=UpperCamelCase   )
								_SCREAMING_SNAKE_CASE					=			tf_tensor_kwargs
								import tensorflow as tf  # noqa: import tf at initialization




		def      lowercase							(					self       ,    UpperCamelCase   ):
								import tensorflow as tf

								if isinstance(UpperCamelCase       ,    UpperCamelCase   ) and column:
														if all(
														    isinstance(UpperCamelCase       ,    tf.Tensor   ) and x.shape == column[0].shape and x.dtype == column[0].dtype for x in column   ):
																				return tf.stack(UpperCamelCase   )
														elif all(
														    isinstance(UpperCamelCase       ,    (tf.Tensor, tf.RaggedTensor)   ) and x.ndim == 1 and x.dtype == column[0].dtype
														    for x in column   ):
																				# only rag 1-D tensors, otherwise some dimensions become ragged even though they were consolidated
																				return tf.ragged.stack(UpperCamelCase   )

								return column




		def      lowercase							(					self       ,    UpperCamelCase   ):
								import tensorflow as tf

								if value is None:
														return value

								_SCREAMING_SNAKE_CASE					=			{}

								if isinstance(UpperCamelCase       ,    (np.number, np.ndarray)   ) and np.issubdtype(value.dtype       ,    np.integer   ):
														_SCREAMING_SNAKE_CASE					=			{"dtype": tf.intaa}
								elif isinstance(UpperCamelCase       ,    (np.number, np.ndarray)   ) and np.issubdtype(value.dtype       ,    np.floating   ):
														_SCREAMING_SNAKE_CASE					=			{"dtype": tf.floataa}
								elif config.PIL_AVAILABLE and "PIL" in sys.modules:
														import PIL.Image

														if isinstance(UpperCamelCase       ,    PIL.Image.Image   ):
																				_SCREAMING_SNAKE_CASE					=			np.asarray(UpperCamelCase   )

								return tf.convert_to_tensor(UpperCamelCase       ,    **{**default_dtype, **self.tf_tensor_kwargs}   )




		def      lowercase							(					self       ,    UpperCamelCase   ):
								import tensorflow as tf

								# support for torch, tf, jax etc.
								if config.TORCH_AVAILABLE and "torch" in sys.modules:
														import torch

														if isinstance(UpperCamelCase       ,    torch.Tensor   ):
																				return self._tensorize(data_struct.detach().cpu().numpy()[()]   )
								if hasattr(UpperCamelCase       ,    "__array__"   ) and not isinstance(UpperCamelCase       ,    tf.Tensor   ):
														_SCREAMING_SNAKE_CASE					=			data_struct.__array__()
								# support for nested types like struct of list of struct
								if isinstance(UpperCamelCase       ,    np.ndarray   ):
														if data_struct.dtype == object:  # tf tensors cannot be instantied from an array of objects
																				return self._consolidate([self.recursive_tensorize(UpperCamelCase   ) for substruct in data_struct]   )
								elif isinstance(UpperCamelCase       ,    (list, tuple)   ):
														return self._consolidate([self.recursive_tensorize(UpperCamelCase   ) for substruct in data_struct]   )
								return self._tensorize(UpperCamelCase   )




		def      lowercase							(					self       ,    UpperCamelCase   ):
								return map_nested(self._recursive_tensorize       ,    UpperCamelCase       ,    map_list=UpperCamelCase   )




		def      lowercase							(					self       ,    UpperCamelCase   ):
								_SCREAMING_SNAKE_CASE					=			self.numpy_arrow_extractor().extract_row(UpperCamelCase   )
								_SCREAMING_SNAKE_CASE					=			self.python_features_decoder.decode_row(UpperCamelCase   )
								return self.recursive_tensorize(UpperCamelCase   )




		def      lowercase							(					self       ,    UpperCamelCase   ):
								_SCREAMING_SNAKE_CASE					=			self.numpy_arrow_extractor().extract_column(UpperCamelCase   )
								_SCREAMING_SNAKE_CASE					=			self.python_features_decoder.decode_column(UpperCamelCase       ,    pa_table.column_names[0]   )
								_SCREAMING_SNAKE_CASE					=			self.recursive_tensorize(UpperCamelCase   )
								_SCREAMING_SNAKE_CASE					=			self._consolidate(UpperCamelCase   )
								return column




		def      lowercase							(					self       ,    UpperCamelCase   ):
								_SCREAMING_SNAKE_CASE					=			self.numpy_arrow_extractor().extract_batch(UpperCamelCase   )
								_SCREAMING_SNAKE_CASE					=			self.python_features_decoder.decode_batch(UpperCamelCase   )
								_SCREAMING_SNAKE_CASE					=			self.recursive_tensorize(UpperCamelCase   )
								for column_name in batch:
														_SCREAMING_SNAKE_CASE					=			self._consolidate(batch[column_name]   )
								return batch

'''simple docstring'''







from __future__ import annotations

import random
import string


class       lowerCAmelCase			:




		def __init__(					self       ,    UpperCamelCase = None   ):
								_SCREAMING_SNAKE_CASE					=			passcode or self.__passcode_creator()
								_SCREAMING_SNAKE_CASE					=			self.__make_key_list()
								_SCREAMING_SNAKE_CASE					=			self.__make_shift_key()




		def __str__(					self   ):
								return "".join(self.__passcode   )




		def      lowercase							(					self       ,    UpperCamelCase   ):
								for i in range(1       ,    len(UpperCamelCase   )       ,    2   ):
														iterlist[i] *= -1
								return iterlist




		def      lowercase							(					self   ):
								_SCREAMING_SNAKE_CASE					=			string.ascii_letters + string.digits
								_SCREAMING_SNAKE_CASE					=			[random.choice(UpperCamelCase   ) for _ in range(random.randint(10       ,    20   )   )]
								return password




		def      lowercase							(					self   ):
								_SCREAMING_SNAKE_CASE					=			(
								    string.ascii_letters + string.digits + string.punctuation + " \t\n"
								)

								_SCREAMING_SNAKE_CASE					=			[]

								# creates points known as breakpoints to break the key_list_options at those
								# points and pivot each substring
								_SCREAMING_SNAKE_CASE					=			sorted(set(self.__passcode   )   )
								_SCREAMING_SNAKE_CASE					=			[]

								# algorithm for creating a new shuffled list, keys_l, out of key_list_options
								for i in key_list_options:
														temp_list.extend(UpperCamelCase   )

														# checking breakpoints at which to pivot temporary sublist and add it into
														# keys_l
														if i in breakpoints or i == key_list_options[-1]:
																				keys_l.extend(temp_list[::-1]   )
																				temp_list.clear()

        # returning a shuffled keys_l to prevent brute force guessing of shift key
								return keys_l




		def      lowercase							(					self   ):
								_SCREAMING_SNAKE_CASE					=			sum(self.__neg_pos([ord(UpperCamelCase   ) for x in self.__passcode]   )   )
								return num if num > 0 else len(self.__passcode   )




		def      lowercase							(					self       ,    UpperCamelCase   ):
								_SCREAMING_SNAKE_CASE					=			""

								# decoding shift like Caesar cipher algorithm implementing negative shift or
								# reverse shift or left shift
								for i in encoded_message:
														_SCREAMING_SNAKE_CASE					=			self.__key_list.index(UpperCamelCase   )
														decoded_message += self.__key_list[
														    (position - self.__shift_key) % -len(self.__key_list   )
														]

								return decoded_message




		def      lowercase							(					self       ,    UpperCamelCase   ):
								_SCREAMING_SNAKE_CASE					=			""

								# encoding shift like Caesar cipher algorithm implementing positive shift or
								# forward shift or right shift
								for i in plaintext:
														_SCREAMING_SNAKE_CASE					=			self.__key_list.index(UpperCamelCase   )
														encoded_message += self.__key_list[
														    (position + self.__shift_key) % len(self.__key_list   )
														]

								return encoded_message



def       _a		(						_SCREAMING_SNAKE_CASE		: str = "Hello, this is a modified Caesar cipher"	):
						_SCREAMING_SNAKE_CASE					=			ShuffledShiftCipher()
						return cipa.decrypt(cipa.encrypt(_SCREAMING_SNAKE_CASE	)	)


if __name__ == "__main__":
						import doctest

						doctest.testmod()