





"""simple docstring"""





# flake8: noqa
# Lint as: python3

from typing import Dict, List, Optional, Type

from .. import config
from ..utils import logging
from .formatting import (
    ArrowFormatter,
    CustomFormatter,
    Formatter,
    PandasFormatter,
    PythonFormatter,
    TensorFormatter,
    format_table,
    query_table,
)
from .np_formatter import NumpyFormatter


__A											=		logging.get_logger(__name__)

__A											=		{}
__A											=		{}
__A											=		{}
def  __A   (_SCREAMING_SNAKE_CASE     ,   _SCREAMING_SNAKE_CASE     ,   _SCREAMING_SNAKE_CASE = None     ,   )					->List[Any]:





  """simple docstring"""


  lowerCAmelCase__			:Tuple											=							aliases if aliases is not None else []
  if format_type in _FORMAT_TYPES:
    logger.warning(
        F"Overwriting format type '{format_type}' ({_FORMAT_TYPES[format_type].__name__} -> {formatter_cls.__name__})"			)
  lowerCAmelCase__			:List[Any]											=							formatter_cls
  for alias in set(aliases + [format_type]			):
    if alias in _FORMAT_TYPES_ALIASES:
      logger.warning(
          F"Overwriting format type alias '{alias}' ({_FORMAT_TYPES_ALIASES[alias]} -> {format_type})"			)
    lowerCAmelCase__			:str											=							format_type
def  __A   (_SCREAMING_SNAKE_CASE     ,   _SCREAMING_SNAKE_CASE     ,   _SCREAMING_SNAKE_CASE = None			)					->Tuple:





  """simple docstring"""


  lowerCAmelCase__			:Any											=							aliases if aliases is not None else []
  for alias in set(aliases + [format_type]			):
    lowerCAmelCase__			:Dict											=							unavailable_error


# Here we define all the available formatting functions that can be used by `Dataset.set_format`
_register_formatter(PythonFormatter, None, aliases=["""python"""])
_register_formatter(ArrowFormatter, """arrow""", aliases=["""pa""", """pyarrow"""])
_register_formatter(NumpyFormatter, """numpy""", aliases=["""np"""])
_register_formatter(PandasFormatter, """pandas""", aliases=["""pd"""])
_register_formatter(CustomFormatter, """custom""")

if config.TORCH_AVAILABLE:
  from .torch_formatter import TorchFormatter

  _register_formatter(TorchFormatter, """torch""", aliases=["""pt""", """pytorch"""])
else:
  __A											=		ValueError("""PyTorch needs to be installed to be able to return PyTorch tensors.""")
  _register_unavailable_formatter(_torch_error, """torch""", aliases=["""pt""", """pytorch"""])

if config.TF_AVAILABLE:
  from .tf_formatter import TFFormatter

  _register_formatter(TFFormatter, """tensorflow""", aliases=["""tf"""])
else:
  __A											=		ValueError("""Tensorflow needs to be installed to be able to return Tensorflow tensors.""")
  _register_unavailable_formatter(_tf_error, """tensorflow""", aliases=["""tf"""])

if config.JAX_AVAILABLE:
  from .jax_formatter import JaxFormatter

  _register_formatter(JaxFormatter, """jax""", aliases=[])
else:
  __A											=		ValueError("""JAX needs to be installed to be able to return JAX arrays.""")
  _register_unavailable_formatter(_jax_error, """jax""", aliases=[])
def  __A   (_SCREAMING_SNAKE_CASE			)					->List[str]:





  """simple docstring"""


  if format_type in _FORMAT_TYPES_ALIASES:
    return _FORMAT_TYPES_ALIASES[format_type]
  else:
    return format_type




def  __A   (_SCREAMING_SNAKE_CASE     ,   **_SCREAMING_SNAKE_CASE			)					->List[Any]:





  """simple docstring"""


  lowerCAmelCase__			:Dict											=							get_format_type_from_alias(_A			)
  if format_type in _FORMAT_TYPES:
    return _FORMAT_TYPES[format_type](**_A			)
  if format_type in _FORMAT_TYPES_ALIASES_UNAVAILABLE:
    raise _FORMAT_TYPES_ALIASES_UNAVAILABLE[format_type]
  else:
    raise ValueError(
        F"Return type should be None or selected in {list(type for type in _FORMAT_TYPES.keys() if type != None			)}, but got '{format_type}'"			)






def 						lowerCamelCase__    (		_A							):







	'''simple docstring'''





	if num <= 0:
		raise ValueError("Input must be a positive integer"							)

	snake_case_		    =     [True] * (num + 1)

	snake_case_		    =     2
	while p * p <= num:
		if primes[p]:
			for i in range(p * p     ,	num + 1     ,	_A							):
				snake_case_		    =     False
		p += 1

	return [prime for prime in range(2     ,	num + 1							) if primes[prime]]


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		lowercase__				:     Tuple 		=						int(input("Enter a positive integer: ").strip())
		print(prime_sieve_eratosthenes(user_num))
