operator.py 16.1 KB
Newer Older
1
2
3
4
5
6
7
8
9
10
11
12
13
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.
#
14
# Copyright(C) 2013-2020 Max-Planck-Society
15
16
#
# NIFTy is being developed at the Max-Planck-Institut fuer Astrophysik.
Martin Reinecke's avatar
Martin Reinecke committed
17

Martin Reinecke's avatar
Martin Reinecke committed
18
import numpy as np
Philipp Arras's avatar
Philipp Arras committed
19

20
from .. import pointwise
Philipp Arras's avatar
Philipp Arras committed
21
from ..logger import logger
Philipp Arras's avatar
Philipp Arras committed
22
23
from ..multi_domain import MultiDomain
from ..utilities import NiftyMeta, indent
Martin Reinecke's avatar
Martin Reinecke committed
24
25


Martin Reinecke's avatar
Martin Reinecke committed
26
class Operator(metaclass=NiftyMeta):
Philipp Arras's avatar
Philipp Arras committed
27
    """Transforms values defined on one domain into values defined on another
Martin Reinecke's avatar
Martin Reinecke committed
28
29
30
    domain, and can also provide the Jacobian.
    """

Martin Reinecke's avatar
Martin Reinecke committed
31
    @property
Martin Reinecke's avatar
Martin Reinecke committed
32
    def domain(self):
Philipp Arras's avatar
Docs    
Philipp Arras committed
33
        """The domain on which the Operator's input Field is defined.
Martin Reinecke's avatar
Martin Reinecke committed
34

Philipp Arras's avatar
Docs    
Philipp Arras committed
35
36
37
38
        Returns
        -------
        domain : DomainTuple or MultiDomain
        """
Martin Reinecke's avatar
Martin Reinecke committed
39
        return self._domain
Martin Reinecke's avatar
Martin Reinecke committed
40

Martin Reinecke's avatar
Martin Reinecke committed
41
    @property
Martin Reinecke's avatar
Martin Reinecke committed
42
    def target(self):
Philipp Arras's avatar
Docs    
Philipp Arras committed
43
44
45
46
47
48
        """The domain on which the Operator's output Field is defined.

        Returns
        -------
        target : DomainTuple or MultiDomain
        """
Martin Reinecke's avatar
Martin Reinecke committed
49
        return self._target
Martin Reinecke's avatar
Martin Reinecke committed
50

Martin Reinecke's avatar
misc    
Martin Reinecke committed
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
    @property
    def val(self):
        """The numerical value associated with this object
        For "pure" operators this is `None`. For Field-like objects this
        is a `numpy.ndarray` or a dictionary of `numpy.ndarray`s mathcing the
        object's `target`.

        Returns
        -------
        None or numpy.ndarray or dictionary of np.ndarrays : the numerical value
        """
        return None

    @property
    def jac(self):
        """The Jacobian associated with this object
        For "pure" operators this is `None`. For Field-like objects this
        can be `None` (in which case the object is a constant), or it can be a
        `LinearOperator` with `domain` and `target` matching the object's.

        Returns
        -------
        None or LinearOperator : the Jacobian

        Notes
        -----
        if `value` is None, this must be `None` as well!
        """
        return None

    @property
    def want_metric(self):
        """Whether a metric should be computed for the full expression.
        This is `False` whenever `jac` is `None`. In other cases it signals
        that operators processing this object should compute the metric.

        Returns
        -------
        bool : whether the metric should be computed
        """
        return False

    @property
    def metric(self):
        """The metric associated with the object.
        This is `None`, except when all the following conditions hold:
        - `want_metric` is `True`
Lukas Platz's avatar
Lukas Platz committed
98

Martin Reinecke's avatar
misc    
Martin Reinecke committed
99
        - `target` is the scalar domain
Lukas Platz's avatar
Lukas Platz committed
100

Martin Reinecke's avatar
misc    
Martin Reinecke committed
101
102
103
104
105
106
107
108
109
        - the operator chain contained an operator which could compute the
          metric

        Returns
        -------
        None or LinearOperator : the metric
        """
        return None

Martin Reinecke's avatar
Martin Reinecke committed
110
111
112
113
114
115
    @staticmethod
    def _check_domain_equality(dom_op, dom_field):
        if dom_op != dom_field:
            s = "The operator's and field's domains don't match."
            from ..domain_tuple import DomainTuple
            from ..multi_domain import MultiDomain
Sebastian Hutschenreuter's avatar
fix    
Sebastian Hutschenreuter committed
116
            if not isinstance(dom_op, (DomainTuple, MultiDomain,)):
Martin Reinecke's avatar
Martin Reinecke committed
117
118
119
120
                s += " Your operator's domain is neither a `DomainTuple`" \
                     " nor a `MultiDomain`."
            raise ValueError(s)

Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
121
122
123
124
    def scale(self, factor):
        if factor == 1:
            return self
        from .scaling_operator import ScalingOperator
125
        return ScalingOperator(self.target, factor)(self)
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
126
127
128
129
130

    def conjugate(self):
        from .simple_linear_operators import ConjugationOperator
        return ConjugationOperator(self.target)(self)

131
132
133
134
    def sum(self, spaces=None):
        from .contraction_operator import ContractionOperator
        return ContractionOperator(self.target, spaces)(self)

Martin Reinecke's avatar
typos    
Martin Reinecke committed
135
    def integrate(self, spaces=None):
Philipp Arras's avatar
Philipp Arras committed
136
137
138
        from .contraction_operator import IntegrationOperator
        return IntegrationOperator(self.target, spaces)(self)

139
    def vdot(self, other):
Philipp Arras's avatar
Philipp Arras committed
140
        from ..sugar import makeOp
Martin Reinecke's avatar
Martin Reinecke committed
141
142
143
        if not isinstance(other, Operator):
            raise TypeError
        if other.jac is None:
Philipp Arras's avatar
Philipp Arras committed
144
145
            res = self.conjugate()*other
        else:
Martin Reinecke's avatar
Martin Reinecke committed
146
            res = makeOp(other) @ self.conjugate()
Philipp Arras's avatar
Philipp Arras committed
147
        return res.sum()
148

Martin Reinecke's avatar
Martin Reinecke committed
149
150
151
152
153
    @property
    def real(self):
        from .simple_linear_operators import Realizer
        return Realizer(self.target)(self)

Philipp Arras's avatar
Philipp Arras committed
154
155
156
157
158
    @property
    def imag(self):
        from .simple_linear_operators import Imaginizer
        return Imaginizer(self.target)(self)

Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
159
160
161
    def __neg__(self):
        return self.scale(-1)

Martin Reinecke's avatar
Martin Reinecke committed
162
163
164
    def __matmul__(self, x):
        if not isinstance(x, Operator):
            return NotImplemented
Martin Reinecke's avatar
Martin Reinecke committed
165
        return _OpChain.make((self, x))
Martin Reinecke's avatar
Martin Reinecke committed
166

167
168
169
170
171
    def __rmatmul__(self, x):
        if not isinstance(x, Operator):
            return NotImplemented
        return _OpChain.make((x, self))

Philipp Arras's avatar
Philipp Arras committed
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
    def partial_insert(self, x):
        from ..multi_domain import MultiDomain
        if not isinstance(x, Operator):
            raise TypeError
        if not isinstance(self.domain, MultiDomain):
            raise TypeError
        if not isinstance(x.target, MultiDomain):
            raise TypeError
        bigdom = MultiDomain.union([self.domain, x.target])
        k1, k2 = set(self.domain.keys()), set(x.target.keys())
        le, ri = k2 - k1, k1 - k2
        leop, riop = self, x
        if len(ri) > 0:
            riop = riop + self.identity_operator(
                MultiDomain.make({kk: bigdom[kk]
                                  for kk in ri}))
        if len(le) > 0:
            leop = leop + self.identity_operator(
                MultiDomain.make({kk: bigdom[kk]
                                  for kk in le}))
        return leop @ riop

    @staticmethod
    def identity_operator(dom):
        from .block_diagonal_operator import BlockDiagonalOperator
        from .scaling_operator import ScalingOperator
        idops = {kk: ScalingOperator(dd, 1.) for kk, dd in dom.items()}
        return BlockDiagonalOperator(dom, idops)

Martin Reinecke's avatar
Martin Reinecke committed
201
    def __mul__(self, x):
202
203
204
205
206
        if isinstance(x, Operator):
            return _OpProd(self, x)
        if np.isscalar(x):
            return self.scale(x)
        return NotImplemented
Martin Reinecke's avatar
Martin Reinecke committed
207

208
209
210
    def __rmul__(self, x):
        return self.__mul__(x)

Philipp Arras's avatar
Philipp Arras committed
211
212
213
    def __add__(self, x):
        if not isinstance(x, Operator):
            return NotImplemented
Martin Reinecke's avatar
Martin Reinecke committed
214
        return _OpSum(self, x)
Philipp Arras's avatar
Philipp Arras committed
215

216
217
218
219
220
    def __sub__(self, x):
        if not isinstance(x, Operator):
            return NotImplemented
        return _OpSum(self, -x)

Martin Reinecke's avatar
Martin Reinecke committed
221
    def __pow__(self, power):
Martin Reinecke's avatar
Martin Reinecke committed
222
        if not (np.isscalar(power) or power.jac is None):
Martin Reinecke's avatar
Martin Reinecke committed
223
            return NotImplemented
Martin Reinecke's avatar
misc    
Martin Reinecke committed
224
        return self.ptw("power", power)
Martin Reinecke's avatar
Martin Reinecke committed
225

Philipp Arras's avatar
Philipp Arras committed
226
    def apply(self, x):
227
        """Applies the operator to a Field or MultiField.
Philipp Arras's avatar
Docs    
Philipp Arras committed
228
229
230
231
232
233

        Parameters
        ----------
        x : Field or MultiField
            Input on which the operator shall act. Needs to be defined on
            :attr:`domain`.
234
        """
Martin Reinecke's avatar
Martin Reinecke committed
235
        raise NotImplementedError
Martin Reinecke's avatar
Martin Reinecke committed
236

Philipp Arras's avatar
Philipp Arras committed
237
    def force(self, x):
Philipp Arras's avatar
Docs    
Philipp Arras committed
238
239
        """Extract subset of domain of x according to `self.domain` and apply
        operator."""
Philipp Arras's avatar
Fix    
Philipp Arras committed
240
        return self.apply(x.extract(self.domain))
Philipp Arras's avatar
Philipp Arras committed
241

242
    def _check_input(self, x):
Philipp Arras's avatar
Philipp Arras committed
243
        from .scaling_operator import ScalingOperator
Martin Reinecke's avatar
Martin Reinecke committed
244
        if not (isinstance(x, Operator) and x.val is not None):
Philipp Arras's avatar
Philipp Arras committed
245
            raise TypeError
Martin Reinecke's avatar
Martin Reinecke committed
246
        if x.jac is not None:
Philipp Arras's avatar
Philipp Arras committed
247
248
249
250
            if not isinstance(x.jac, ScalingOperator):
                raise ValueError
            if x.jac._factor != 1:
                raise ValueError
Philipp Arras's avatar
Philipp Arras committed
251
        self._check_domain_equality(self._domain, x.domain)
252

Martin Reinecke's avatar
Martin Reinecke committed
253
    def __call__(self, x):
Martin Reinecke's avatar
Martin Reinecke committed
254
255
256
        if not isinstance(x, Operator):
            raise TypeError
        if x.jac is not None:
Philipp Arras's avatar
Philipp Arras committed
257
            return self.apply(x.trivial_jac()).prepend_jac(x.jac)
Martin Reinecke's avatar
Martin Reinecke committed
258
        elif x.val is not None:
Philipp Arras's avatar
Philipp Arras committed
259
            return self.apply(x)
260
        return self @ x
Martin Reinecke's avatar
Martin Reinecke committed
261

Martin Reinecke's avatar
Martin Reinecke committed
262
263
    def ducktape(self, name):
        from .simple_linear_operators import ducktape
Philipp Arras's avatar
Philipp Arras committed
264
        return self @ ducktape(self, None, name)
Martin Reinecke's avatar
Martin Reinecke committed
265
266
267

    def ducktape_left(self, name):
        from .simple_linear_operators import ducktape
Philipp Arras's avatar
Philipp Arras committed
268
        return ducktape(None, self, name) @ self
Martin Reinecke's avatar
Martin Reinecke committed
269

Martin Reinecke's avatar
Martin Reinecke committed
270
271
272
    def __repr__(self):
        return self.__class__.__name__

273
    def simplify_for_constant_input(self, c_inp):
Philipp Arras's avatar
Philipp Arras committed
274
275
        from .energy_operators import EnergyOperator
        from .simplify_for_const import ConstantEnergyOperator, ConstantOperator
276
        from ..multi_field import MultiField
277
        from ..domain_tuple import DomainTuple
278
        if c_inp is None or (isinstance(c_inp, MultiField) and len(c_inp.keys()) == 0):
279
            return None, self
280
281
282
        dom = c_inp.domain
        if isinstance(dom, MultiDomain) and len(dom) == 0:
            return None, self
Philipp Arras's avatar
Philipp Arras committed
283

284
285
        # Convention: If c_inp is MultiField, it needs to be defined on a
        # subdomain of self._domain
Philipp Arras's avatar
Philipp Arras committed
286
        if isinstance(self.domain, MultiDomain):
287
            assert isinstance(dom, MultiDomain)
Philipp Arras's avatar
Philipp Arras committed
288
289
290
            if set(c_inp.keys()) > set(self.domain.keys()):
                raise ValueError

291
        if dom is self.domain:
292
293
            if isinstance(self, DomainTuple):
                raise RuntimeError
Philipp Arras's avatar
Philipp Arras committed
294
            if isinstance(self, EnergyOperator):
295
                op = ConstantEnergyOperator(self(c_inp))
Philipp Arras's avatar
Philipp Arras committed
296
            else:
297
298
                op = ConstantOperator(self(c_inp))
            return None, op
299
        if not isinstance(dom, MultiDomain):
Philipp Arras's avatar
Philipp Arras committed
300
            raise RuntimeError
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
301
302
303
        return self._simplify_for_constant_input_nontrivial(c_inp)

    def _simplify_for_constant_input_nontrivial(self, c_inp):
304
        from .simplify_for_const import InsertionOperator
Philipp Arras's avatar
Fixup    
Philipp Arras committed
305
306
307
        s = ('SlowPartialConstantOperator used. You might want to consider'
             ' implementing `_simplify_for_constant_input_nontrivial()` for'
             ' this operator:')
Philipp Arras's avatar
Philipp Arras committed
308
        logger.warning(s)
Philipp Arras's avatar
Fixup    
Philipp Arras committed
309
        logger.warning(self.__repr__())
310
        return None, self @ InsertionOperator(self.domain, c_inp)
311

Martin Reinecke's avatar
misc    
Martin Reinecke committed
312
313
    def ptw(self, op, *args, **kwargs):
        return _OpChain.make((_FunctionApplier(self.target, op, *args, **kwargs), self))
Martin Reinecke's avatar
Martin Reinecke committed
314
315


316
317
318
319
320
321
322
323
for f in pointwise.ptw_dict.keys():
    def func(f):
        def func2(self, *args, **kwargs):
            return self.ptw(f, *args, **kwargs)
        return func2
    setattr(Operator, f, func(f))


Martin Reinecke's avatar
Martin Reinecke committed
324
class _FunctionApplier(Operator):
Martin Reinecke's avatar
misc    
Martin Reinecke committed
325
    def __init__(self, domain, funcname, *args, **kwargs):
Martin Reinecke's avatar
Martin Reinecke committed
326
        from ..sugar import makeDomain
Martin Reinecke's avatar
Martin Reinecke committed
327
        self._domain = self._target = makeDomain(domain)
Martin Reinecke's avatar
Martin Reinecke committed
328
        self._funcname = funcname
Martin Reinecke's avatar
misc    
Martin Reinecke committed
329
330
        self._args = args
        self._kwargs = kwargs
Martin Reinecke's avatar
Martin Reinecke committed
331

Philipp Arras's avatar
Philipp Arras committed
332
    def apply(self, x):
333
        self._check_input(x)
Martin Reinecke's avatar
misc    
Martin Reinecke committed
334
        return x.ptw(self._funcname, *self._args, **self._kwargs)
Martin Reinecke's avatar
Martin Reinecke committed
335

336
337
338
    def __repr__(self):
        return f"_FunctionApplier ('{self._funcname}')"

Martin Reinecke's avatar
Martin Reinecke committed
339

Martin Reinecke's avatar
Martin Reinecke committed
340
341
342
343
344
345
346
347
348
349
class _CombinedOperator(Operator):
    def __init__(self, ops, _callingfrommake=False):
        if not _callingfrommake:
            raise NotImplementedError
        self._ops = tuple(ops)

    @classmethod
    def unpack(cls, ops, res):
        for op in ops:
            if isinstance(op, cls):
Martin Reinecke's avatar
Martin Reinecke committed
350
                res = cls.unpack(op._ops, res)
Martin Reinecke's avatar
Martin Reinecke committed
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
            else:
                res = res + [op]
        return res

    @classmethod
    def make(cls, ops):
        res = cls.unpack(ops, [])
        if len(res) == 1:
            return res[0]
        return cls(res, _callingfrommake=True)


class _OpChain(_CombinedOperator):
    def __init__(self, ops, _callingfrommake=False):
        super(_OpChain, self).__init__(ops, _callingfrommake)
Martin Reinecke's avatar
Martin Reinecke committed
366
367
        self._domain = self._ops[-1].domain
        self._target = self._ops[0].target
Martin Reinecke's avatar
Martin Reinecke committed
368
369
370
        for i in range(1, len(self._ops)):
            if self._ops[i-1].domain != self._ops[i].target:
                raise ValueError("domain mismatch")
Martin Reinecke's avatar
Martin Reinecke committed
371

Philipp Arras's avatar
Philipp Arras committed
372
    def apply(self, x):
373
        self._check_input(x)
Martin Reinecke's avatar
Martin Reinecke committed
374
375
376
377
        for op in reversed(self._ops):
            x = op(x)
        return x

378
379
380
381
    # def _simplify_for_constant_input_nontrivial(self, c_inp):
    #     from ..multi_domain import MultiDomain
    #     if not isinstance(self._domain, MultiDomain):
    #         return None, self
382

383
384
385
386
387
    #     newop = None
    #     for op in reversed(self._ops):
    #         c_inp, t_op = op.simplify_for_constant_input(c_inp)
    #         newop = t_op if newop is None else op(newop)
    #     return c_inp, newop
Martin Reinecke's avatar
Martin Reinecke committed
388

Philipp Arras's avatar
Philipp Arras committed
389
390
391
392
393
    def __repr__(self):
        subs = "\n".join(sub.__repr__() for sub in self._ops)
        return "_OpChain:\n" + indent(subs)


Martin Reinecke's avatar
Martin Reinecke committed
394
395
396
397
398
399
400
401
402
class _OpProd(Operator):
    def __init__(self, op1, op2):
        from ..sugar import domain_union
        self._domain = domain_union((op1.domain, op2.domain))
        self._target = op1.target
        if op1.target != op2.target:
            raise ValueError("target mismatch")
        self._op1 = op1
        self._op2 = op2
Martin Reinecke's avatar
Martin Reinecke committed
403

Philipp Arras's avatar
Philipp Arras committed
404
    def apply(self, x):
Martin Reinecke's avatar
Martin Reinecke committed
405
406
        from ..linearization import Linearization
        from ..sugar import makeOp
407
        self._check_input(x)
Martin Reinecke's avatar
more    
Martin Reinecke committed
408
409
        lin = x.jac is not None
        wm = x.want_metric if lin else False
Philipp Arras's avatar
Philipp Arras committed
410
        x = x.val if lin else x
Philipp Arras's avatar
Philipp Arras committed
411
412
        v1 = x.extract(self._op1.domain)
        v2 = x.extract(self._op2.domain)
Philipp Arras's avatar
Philipp Arras committed
413
        if not lin:
414
            return self._op1(v1) * self._op2(v2)
415
416
        lin1 = self._op1(Linearization.make_var(v1, wm))
        lin2 = self._op2(Linearization.make_var(v2, wm))
Philipp Arras's avatar
Philipp Arras committed
417
418
        jac = (makeOp(lin1._val)(lin2._jac))._myadd(makeOp(lin2._val)(lin1._jac), False)
        return lin1.new(lin1._val*lin2._val, jac)
Martin Reinecke's avatar
Martin Reinecke committed
419

420
421
422
423
424
425
426
427
428
429
430
431
432
433
    # def _simplify_for_constant_input_nontrivial(self, c_inp):
    #     from ..multi_domain import MultiDomain
    #     from .simplify_for_const import ConstCollector

    #     f1, o1 = self._op1.simplify_for_constant_input(
    #         c_inp.extract_part(self._op1.domain))
    #     f2, o2 = self._op2.simplify_for_constant_input(
    #         c_inp.extract_part(self._op2.domain))
    #     if not isinstance(self._target, MultiDomain):
    #         return None, _OpProd(o1, o2)
    #     cc = ConstCollector()
    #     cc.mult(f1, o1.target)
    #     cc.mult(f2, o2.target)
    #     return cc.constfield, _OpProd(o1, o2)
Martin Reinecke's avatar
Martin Reinecke committed
434

Philipp Arras's avatar
Philipp Arras committed
435
436
437
438
439
    def __repr__(self):
        subs = "\n".join(sub.__repr__() for sub in (self._op1, self._op2))
        return "_OpProd:\n"+indent(subs)


Martin Reinecke's avatar
Martin Reinecke committed
440
441
class _OpSum(Operator):
    def __init__(self, op1, op2):
Philipp Arras's avatar
Philipp Arras committed
442
        from ..sugar import domain_union
Martin Reinecke's avatar
Martin Reinecke committed
443
444
445
446
        self._domain = domain_union((op1.domain, op2.domain))
        self._target = domain_union((op1.target, op2.target))
        self._op1 = op1
        self._op2 = op2
Philipp Arras's avatar
Philipp Arras committed
447

Philipp Arras's avatar
Philipp Arras committed
448
    def apply(self, x):
Martin Reinecke's avatar
Martin Reinecke committed
449
        from ..linearization import Linearization
450
        self._check_input(x)
Martin Reinecke's avatar
more    
Martin Reinecke committed
451
        if x.jac is None:
Philipp Arras's avatar
Philipp Arras committed
452
453
            v1 = x.extract(self._op1.domain)
            v2 = x.extract(self._op2.domain)
Martin Reinecke's avatar
Martin Reinecke committed
454
            return self._op1(v1).unite(self._op2(v2))
Philipp Arras's avatar
Philipp Arras committed
455
456
457
        v1 = x.val.extract(self._op1.domain)
        v2 = x.val.extract(self._op2.domain)
        wm = x.want_metric
458
459
        lin1 = self._op1(Linearization.make_var(v1, wm))
        lin2 = self._op2(Linearization.make_var(v2, wm))
Martin Reinecke's avatar
Martin Reinecke committed
460
        op = lin1._jac._myadd(lin2._jac, False)
Philipp Arras's avatar
Philipp Arras committed
461
        res = lin1.new(lin1._val.unite(lin2._val), op)
Martin Reinecke's avatar
Martin Reinecke committed
462
        if lin1._metric is not None and lin2._metric is not None:
Philipp Arras's avatar
Philipp Arras committed
463
            res = res.add_metric(lin1._metric._myadd(lin2._metric, False))
Philipp Arras's avatar
Philipp Arras committed
464
        return res
465

466
467
468
469
470
471
472
473
474
475
476
477
478
479
    # def _simplify_for_constant_input_nontrivial(self, c_inp):
    #     from ..multi_domain import MultiDomain
    #     from .simplify_for_const import ConstCollector

    #     f1, o1 = self._op1.simplify_for_constant_input(
    #         c_inp.extract_part(self._op1.domain))
    #     f2, o2 = self._op2.simplify_for_constant_input(
    #         c_inp.extract_part(self._op2.domain))
    #     if not isinstance(self._target, MultiDomain):
    #         return None, _OpSum(o1, o2)
    #     cc = ConstCollector()
    #     cc.add(f1, o1.target)
    #     cc.add(f2, o2.target)
    #     return cc.constfield, _OpSum(o1, o2)
Philipp Arras's avatar
Philipp Arras committed
480
481
482
483

    def __repr__(self):
        subs = "\n".join(sub.__repr__() for sub in (self._op1, self._op2))
        return "_OpSum:\n"+indent(subs)