




"""simple docstring"""

import itertools
import string
from collections.abc import Generator, Iterable






def 		_snake_case	(   _snake_case				:   Iterable[str]							,    _snake_case				:   int				)       ->   Generator[tuple[str, ...], None, None]:






      '''simple docstring'''


      _A     =  iter(_snake_case				)
      while True:
            _A     =  tuple(itertools.islice(_snake_case							,    _snake_case				)				)
            if not chunk:
                  return
            yield chunk






def 		_snake_case	(   _snake_case				:   str				)       ->   str:






      '''simple docstring'''


      _A     =  ''.join([c.upper() for c in dirty if c in string.ascii_letters]				)
      _A     =  ''

      if len(_snake_case				) < 2:
            return dirty

      for i in range(len(_snake_case				) - 1				):
            clean += dirty[i]

            if dirty[i] == dirty[i + 1]:
                  clean += "X"

      clean += dirty[-1]

      if len(_snake_case				) & 1:
            clean += "X"

      return clean






def 		_snake_case	(   _snake_case				:   str				)       ->   list[str]:






      '''simple docstring'''


      _A     =  'ABCDEFGHIKLMNOPQRSTUVWXYZ'
      # we're using a list instead of a '2d' array because it makes the math
      # for setting up the table and doing the actual encoding/decoding simpler
      _A     =  []

      # copy key chars into the table if they are in `alphabet` ignoring duplicates
      for char in key.upper():
            if char not in table and char in alphabet:
                  table.append(_snake_case				)

    # fill the rest of the table in with the remaining alphabet chars
      for char in alphabet:
            if char not in table:
                  table.append(_snake_case				)

      return table






def 		_snake_case	(   _snake_case				:   str							,    _snake_case				:   str				)       ->   str:






      '''simple docstring'''


      _A     =  generate_table(_snake_case				)
      _A     =  prepare_input(_snake_case				)
      _A     =  ''

      # https://en.wikipedia.org/wiki/Playfair_cipher#Description
      for chara, chara in chunker(_snake_case							,    2				):
            _A  ,       _A     =  divmod(table.index(_snake_case				)							,    5				)
            _A  ,       _A     =  divmod(table.index(_snake_case				)							,    5				)

            if rowa == rowa:
                  ciphertext += table[rowa * 5 + (cola + 1) % 5]
                  ciphertext += table[rowa * 5 + (cola + 1) % 5]
            elif cola == cola:
                  ciphertext += table[((rowa + 1) % 5) * 5 + cola]
                  ciphertext += table[((rowa + 1) % 5) * 5 + cola]
            else:  # rectangle
                  ciphertext += table[rowa * 5 + cola]
                  ciphertext += table[rowa * 5 + cola]

      return ciphertext







def 		_snake_case	(   _snake_case				:   str							,    _snake_case				:   str				)       ->   str:






      '''simple docstring'''


      _A     =  generate_table(_snake_case				)
      _A     =  ''

      # https://en.wikipedia.org/wiki/Playfair_cipher#Description
      for chara, chara in chunker(_snake_case							,    2				):
            _A  ,       _A     =  divmod(table.index(_snake_case				)							,    5				)
            _A  ,       _A     =  divmod(table.index(_snake_case				)							,    5				)

            if rowa == rowa:
                  plaintext += table[rowa * 5 + (cola - 1) % 5]
                  plaintext += table[rowa * 5 + (cola - 1) % 5]
            elif cola == cola:
                  plaintext += table[((rowa - 1) % 5) * 5 + cola]
                  plaintext += table[((rowa - 1) % 5) * 5 + cola]
            else:  # rectangle
                  plaintext += table[rowa * 5 + cola]
                  plaintext += table[rowa * 5 + cola]

      return plaintext








"""simple docstring"""




from __future__ import annotations

import matplotlib.pyplot as plt  # type: ignore
import numpy

# initial triangle of Koch snowflake
a		:					int	      =     numpy.array([0, 0])
a		:					Optional[Any]	      =     numpy.array([0.5, 0.866_0254])
a		:					Tuple	      =     numpy.array([1, 0])
a		:					List[str]	      =     [VECTOR_1, VECTOR_2, VECTOR_3, VECTOR_1]






def  _SCREAMING_SNAKE_CASE						(      _lowercase		:       list[numpy.ndarray]       ,			_lowercase		:       int   )					->list[numpy.ndarray]:






	'''simple docstring'''






	a :						List[str]      =							initial_vectors
	for _ in range(_lowercase   ):
		a :						Optional[Any]      =							iteration_step(_lowercase   )
	return vectors






def  _SCREAMING_SNAKE_CASE						(      _lowercase		:       list[numpy.ndarray]   )					->list[numpy.ndarray]:






	'''simple docstring'''






	a :						Union[str, Any]      =							[]
	for i, start_vector in enumerate(vectors[:-1]   ):
		a :						str      =							vectors[i + 1]
		new_vectors.append(_lowercase   )
		a :						Optional[int]      =							end_vector - start_vector
		new_vectors.append(start_vector + difference_vector / 3   )
		new_vectors.append(
		    start_vector + difference_vector / 3 + rotate(difference_vector / 3       ,			60   )   )
		new_vectors.append(start_vector + difference_vector * 2 / 3   )
	new_vectors.append(vectors[-1]   )
	return new_vectors






def  _SCREAMING_SNAKE_CASE						(      _lowercase		:       numpy.ndarray       ,			_lowercase		:       float   )					->numpy.ndarray:






	'''simple docstring'''






	a :						int      =							numpy.radians(_lowercase   )
	a,			a :						Optional[int]      =							numpy.cos(_lowercase   ), numpy.sin(_lowercase   )
	a :						Dict      =							numpy.array(((c, -s), (s, c))   )
	return numpy.dot(_lowercase       ,			_lowercase   )






def  _SCREAMING_SNAKE_CASE						(      _lowercase		:       list[numpy.ndarray]   )					->None:






	'''simple docstring'''






	a :						Dict      =							plt.gca()
	axes.set_aspect("equal"   )

	# matplotlib.pyplot.plot takes a list of all x-coordinates and a list of all
	# y-coordinates as inputs, which are constructed from the vector-list using
	# zip()
	a,			a :						Any      =							zip(*_lowercase   )
	plt.plot(_lowercase       ,			_lowercase   )
	plt.show()


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		a		:					Optional[int]	      =     iterate(INITIAL_VECTORS, 5)
		plot(processed_vectors)


