Exemplo n.º 1
0
Arquivo: eff.py Projeto: tek/tryp.py
 def _flat_map(self, f: Callable):
     ''' **f** must return the same stack type as **self.value** has.
     Iterates over the effects, sequences the inner instance
     successively to the top and joins with the outer instance.
     Example:
     List(Right(Just(1))) => List(Right(Just(List(Right(Just(5))))))
     => List(List(Right(Just(Right(Just(5))))))
     => List(Right(Just(Right(Just(5)))))
     => List(Right(Right(Just(Just(5)))))
     => List(Right(Just(Just(5))))
     => List(Right(Just(5)))
     Note: Task works only as outermost effect, as it cannot sequence
     '''
     index = List.range(self.depth + 1)
     g = index.fold_left(f)(lambda z, i: __.map(z))
     nested = g(self.value)
     def sequence_level(z, depth, tpe):
         nesting = lambda z, i: __.map(z).sequence(tpe)
         lifter = List.range(depth).fold_left(I)(nesting)
         return z // lifter
     def sequence_type(z, data):
         return L(sequence_level)(_, *data).map(z)
     h = self.all_effects.reversed.with_index.fold_left(I)(sequence_type)
     return h(nested)
Exemplo n.º 2
0
Arquivo: eff.py Projeto: tek/tryp.py
 def sequence_level(z, depth, tpe):
     nesting = lambda z, i: __.map(z).sequence(tpe)
     lifter = List.range(depth).fold_left(I)(nesting)
     return z // lifter
Exemplo n.º 3
0
Arquivo: eff.py Projeto: tek/tryp.py
 def _map(self, f: Callable):
     g = List.wrap(range(self.depth)).fold_left(f)(lambda z, i: __.map(z))
     return g(self.value)
Exemplo n.º 4
0
Arquivo: eff.py Projeto: tek/tryp.py
 def map(self, f: Callable):
     return self.copy(self._map(__.map(f)))
Exemplo n.º 5
0
Arquivo: tree.py Projeto: tek/tryp.py
from typing import TypeVar, Callable

from lenses import Lens, lens

from tryp import Maybe, List, __, Boolean, _, L

A = TypeVar('A')

_add = lambda l: __.map(lens().add_lens(l).add_lens)


def path_lens_pred(a: A, sub: Callable[[A], List[A]], lsub,
                   f: Callable[[A], bool]):
    g = lambda a: Boolean(f(lsub(a))).maybe(lsub(lens()))
    return path_lens(a, sub, g)


def path_lens(a: A, sub: Callable[[A], List[A]],
              f: Callable[[A], Maybe[Lens]]) -> Maybe[Lens]:
    return _path_lens(a, sub, f).smap(lens(a).tuple_)


def path_lens_unbound_pre(a: A, sub: Callable[[A], List[A]],
                          f: Callable[[A], Maybe[Lens]], pre: Callable):
    return (
        _path_lens(pre(a), sub, f) /
        (_ / pre(lens()).add_lens) /
        __.cons(lens())
    ).smap(lens().tuple_)