






'''simple docstring'''

from __future__ import annotations

# This is the precision for this function which can be altered.
# It is recommended for users to keep this number greater than or equal to 10.
SCREAMING_SNAKE_CASE__           =  1_0







def        lowercase__					( __UpperCamelCase						,		__UpperCamelCase						,		__UpperCamelCase						,		__UpperCamelCase       )->					int:
      for i in range(__UpperCamelCase						,		__UpperCamelCase       ):
            if array[i] == target:
                  return i
      return -1







def        lowercase__					( __UpperCamelCase						,		__UpperCamelCase       )->					int:
      UpperCamelCase							    =   0
      UpperCamelCase							    =   len(__UpperCamelCase       )
      while left <= right:
            if right - left < precision:
                  return lin_search(__UpperCamelCase						,		__UpperCamelCase						,		__UpperCamelCase						,		__UpperCamelCase       )

            UpperCamelCase							    =   (left + right) // 3 + 1
            UpperCamelCase							    =   2 * (left + right) // 3 + 1

            if array[one_third] == target:
                  return one_third
            elif array[two_third] == target:
                  return two_third

            elif target < array[one_third]:
                  UpperCamelCase							    =   one_third - 1
            elif array[two_third] < target:
                  UpperCamelCase							    =   two_third + 1

            else:
                  UpperCamelCase							    =   one_third + 1
                  UpperCamelCase							    =   two_third - 1
      else:
            return -1







def        lowercase__					( __UpperCamelCase						,		__UpperCamelCase						,		__UpperCamelCase						,		__UpperCamelCase       )->					int:
      if left < right:
            if right - left < precision:
                  return lin_search(__UpperCamelCase						,		__UpperCamelCase						,		__UpperCamelCase						,		__UpperCamelCase       )
            UpperCamelCase							    =   (left + right) // 3 + 1
            UpperCamelCase							    =   2 * (left + right) // 3 + 1

            if array[one_third] == target:
                  return one_third
            elif array[two_third] == target:
                  return two_third

            elif target < array[one_third]:
                  return rec_ternary_search(__UpperCamelCase						,		one_third - 1						,		__UpperCamelCase						,		__UpperCamelCase       )
            elif array[two_third] < target:
                  return rec_ternary_search(two_third + 1						,		__UpperCamelCase						,		__UpperCamelCase						,		__UpperCamelCase       )
            else:
                  return rec_ternary_search(one_third + 1						,		two_third - 1						,		__UpperCamelCase						,		__UpperCamelCase       )
      else:
            return -1


if __name__ == "__main__":
     import doctest

     doctest.testmod()

     SCREAMING_SNAKE_CASE__           =  input('Enter numbers separated by comma:\n').strip()
     SCREAMING_SNAKE_CASE__           =  [int(item.strip()) for item in user_input.split(',')]
     assert collection == sorted(collection), f"List must be ordered.\n{collection}."
     SCREAMING_SNAKE_CASE__           =  int(input('Enter the number to be found in the list:\n').strip())
     SCREAMING_SNAKE_CASE__           =  ite_ternary_search(collection, target)
     SCREAMING_SNAKE_CASE__           =  rec_ternary_search(0, len(collection) - 1, collection, target)
     if resulta != -1:
          print(f'Iterative search: {target} found at positions: {resulta}')
          print(f'Recursive search: {target} found at positions: {resulta}')
     else:
          print('Not found')






# 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__ (snake_case   :		type		,	snake_case   :		Optional[str]		,	snake_case   :		Optional[List[str]] = None		,	)     ->						str:
					__UpperCamelCase					:	int             =      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__})'''				)
					__UpperCamelCase					:	Optional[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})'''				)
										__UpperCamelCase					:	Optional[int]             =      format_type





def 				A__ (snake_case   :		Exception		,	snake_case   :		Optional[str]		,	snake_case   :		Optional[List[str]] = None				)     ->						Tuple:
					__UpperCamelCase					:	List[Any]             =      aliases if aliases is not None else []
					for alias in set(aliases + [format_type]				):
										__UpperCamelCase					:	Optional[int]             =      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__ (snake_case   :		Optional[str]				)     ->						Optional[str]:
					if format_type in _FORMAT_TYPES_ALIASES:
										return _FORMAT_TYPES_ALIASES[format_type]
					else:
										return format_type







def 				A__ (snake_case   :		Optional[str]		,	**snake_case   :		List[str]				)     ->						Formatter:
					__UpperCamelCase					:	int             =      get_format_type_from_alias(snake_case				)
					if format_type in _FORMAT_TYPES:
										return _FORMAT_TYPES[format_type](**snake_case				)
					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}\''''				)






