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add function._SetSpace (wip) #644

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add function._SetSpace (wip) #644

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19 changes: 18 additions & 1 deletion nutils/function.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,7 +27,7 @@
from typing import Tuple, Union, Type, Callable, Sequence, Any, Optional, Iterator, Iterable, Dict, Mapping, overload, List, Set, FrozenSet
from . import evaluable, numeric, util, expression, types, warnings, debug_flags
from .transform import EvaluableTransformChain
from .transformseq import Transforms
from .transformseq import Transforms, IdentifierTransforms
import builtins, numpy, re, types as builtin_types, itertools, functools, operator, abc, numbers

IntoArray = Union['Array', numpy.ndarray, bool, int, float]
Expand Down Expand Up @@ -440,6 +440,23 @@ def argshapes(self) -> Mapping[str, Tuple[int, ...]]:
shapes[arg._name] = tuple(map(int, arg.shape))
return shapes

class _SetSpace(Array):

def __init__(self, arg: Array, space: str, value: Array):
if space not in arg.spaces:
raise ValueError('argument does not depend on space {!r}'.format(space))
if value.ndim != 1:
raise ValueError('expected one-dimensional coordinate for space {!r}'.format(space))
self._space = space
self._arg = arg
self._value = value
super().__init__(shape=arg.shape, dtype=arg.dtype, spaces=arg.spaces-{space})

def lower(self, points_shape: _PointsShape, transform_chains: _TransformChainsMap, coordinates: _CoordinatesMap) -> evaluable.Array:
value = self._value.lower(points_shape, transform_chains, coordinates)
chain = IdentifierTransforms(ndims=1, name='dummy', length=value.shape[-1]).get_evaluable(evaluable.asarray(0)) # <- identity
return self._arg.lower(points_shape, {self._space: (chain, chain), **transform_chains}, {self._space: value, **coordinates})

class _Unlower(Array):

def __init__(self, array: evaluable.Array, spaces: FrozenSet[str], points_shape: Tuple[evaluable.Array, ...], transform_chains: Tuple[EvaluableTransformChain, ...], coordinates: Tuple[evaluable.Array, ...]) -> None:
Expand Down