Source code for lz.left

import functools as _functools
import itertools as _itertools
import typing as _t

from ._core.left import Applier as _Applier
from .iterating import expand as _expand

_T1 = _t.TypeVar('_T1')
_T2 = _t.TypeVar('_T2')


[docs]def accumulator( _function: _t.Callable[[_T2, _T1], _T2], _initial: _T2 ) -> _t.Callable[[_t.Iterable[_T1]], _t.Iterable[_T2]]: """ Returns function that yields cumulative results of given binary function starting from given initial object in direction from left to right. >>> import math >>> to_pi_approximations = accumulator(round, math.pi) >>> list(to_pi_approximations(range(5, 0, -1))) [3.141592653589793, 3.14159, 3.1416, 3.142, 3.14, 3.1] """ return _functools.partial(accumulate, _function, _initial)
[docs]def accumulate(_function: _t.Callable[[_T2, _T1], _T2], _initial: _T2, _iterable: _t.Iterable[_T1]) -> _t.Iterable[_T2]: """ Yields cumulative results of given binary function starting from given initial object in direction from left to right. >>> import math >>> list(accumulate(round, math.pi, range(5, 0, -1))) [3.141592653589793, 3.14159, 3.1416, 3.142, 3.14, 3.1] """ yield from _itertools.accumulate( attach(_iterable, _initial), _t.cast(_t.Callable[[_t.Any, _t.Any], _T2], _function) )
[docs]def attacher(_value: _T1) -> _t.Callable[[_t.Iterable[_T1]], _t.Iterable[_T1]]: """ Returns function that prepends given object to iterable. >>> attach_hundred = attacher(100) >>> list(attach_hundred(range(10))) [100, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9] """ return _functools.partial(attach, _value=_value)
[docs]@_functools.singledispatch def attach(_target: _t.Iterable[_T1], _value: _T1) -> _t.Iterable[_T1]: """ Prepends given value to the target. """ yield from _itertools.chain(_expand(_value), _target)
@attach.register(list) def _(_target: _t.List[_T1], _value: _T1) -> _t.List[_T1]: """ Prepends given object to the list. """ return [_value] + _target @attach.register(tuple) def _(_target: _t.Tuple[_T1, ...], _value: _T1) -> _t.Tuple[_T1, ...]: """ Prepends given value to the tuple. """ return (_value,) + _target
[docs]def folder(_function: _t.Callable[[_T2, _T1], _T2], _initial: _T2) -> _t.Callable[[_t.Iterable[_T1]], _T2]: """ Returns function that cumulatively applies given binary function starting from given initial object in direction from left to right. >>> to_sum_evaluation_order = folder('({} + {})'.format, 0) >>> to_sum_evaluation_order(range(1, 10)) '(((((((((0 + 1) + 2) + 3) + 4) + 5) + 6) + 7) + 8) + 9)' """ return _functools.partial(fold, _function, _initial)
[docs]def fold(_function: _t.Callable[[_T2, _T1], _T2], _initial: _T2, _iterable: _t.Iterable[_T1]) -> _T2: """ Cumulatively applies given binary function starting from given initial object in direction from left to right. >>> fold('({} + {})'.format, 0, range(1, 10)) '(((((((((0 + 1) + 2) + 3) + 4) + 5) + 6) + 7) + 8) + 9)' """ return _functools.reduce(_function, _iterable, _initial)
[docs]def applier(_function: _t.Callable[..., _T2], *args: _T1, **kwargs: _T1) -> _t.Callable[..., _T2]: """ Returns function that behaves like given function with given arguments partially applied. Given positional arguments will be added to the left end. >>> count_from_zero_to = applier(range, 0) >>> list(count_from_zero_to(10)) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] """ return _Applier(_function, *args, **kwargs)