operator.py 16.8 KB
Newer Older
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
# 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/>.
#
# Copyright(C) 2013-2019 Max-Planck-Society
#
# 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

Martin Reinecke's avatar
Martin Reinecke committed
20
from ..utilities import NiftyMeta, indent
21
from .. import pointwise
Martin Reinecke's avatar
Martin Reinecke committed
22
23


Martin Reinecke's avatar
Martin Reinecke committed
24
class Operator(metaclass=NiftyMeta):
Philipp Arras's avatar
Philipp Arras committed
25
    """Transforms values defined on one domain into values defined on another
Martin Reinecke's avatar
Martin Reinecke committed
26
27
28
    domain, and can also provide the Jacobian.
    """

Martin Reinecke's avatar
Martin Reinecke committed
29
    @property
Martin Reinecke's avatar
Martin Reinecke committed
30
    def domain(self):
Philipp Arras's avatar
Docs    
Philipp Arras committed
31
        """The domain on which the Operator's input Field is defined.
Martin Reinecke's avatar
Martin Reinecke committed
32

Philipp Arras's avatar
Docs    
Philipp Arras committed
33
34
35
36
        Returns
        -------
        domain : DomainTuple or MultiDomain
        """
Martin Reinecke's avatar
Martin Reinecke committed
37
        return self._domain
Martin Reinecke's avatar
Martin Reinecke committed
38

Martin Reinecke's avatar
Martin Reinecke committed
39
    @property
Martin Reinecke's avatar
Martin Reinecke committed
40
    def target(self):
Philipp Arras's avatar
Docs    
Philipp Arras committed
41
42
43
44
45
46
        """The domain on which the Operator's output Field is defined.

        Returns
        -------
        target : DomainTuple or MultiDomain
        """
Martin Reinecke's avatar
Martin Reinecke committed
47
        return self._target
Martin Reinecke's avatar
Martin Reinecke committed
48

Martin Reinecke's avatar
misc    
Martin Reinecke committed
49
50
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
    @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
96

Martin Reinecke's avatar
misc    
Martin Reinecke committed
97
        - `target` is the scalar domain
Lukas Platz's avatar
Lukas Platz committed
98

Martin Reinecke's avatar
misc    
Martin Reinecke committed
99
100
101
102
103
104
105
106
107
        - 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
108
109
110
111
112
113
    @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
114
            if not isinstance(dom_op, (DomainTuple, MultiDomain,)):
Martin Reinecke's avatar
Martin Reinecke committed
115
116
117
118
                s += " Your operator's domain is neither a `DomainTuple`" \
                     " nor a `MultiDomain`."
            raise ValueError(s)

Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
119
120
121
122
    def scale(self, factor):
        if factor == 1:
            return self
        from .scaling_operator import ScalingOperator
123
        return ScalingOperator(self.target, factor)(self)
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
124
125
126
127
128

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

129
130
131
132
    def sum(self, spaces=None):
        from .contraction_operator import ContractionOperator
        return ContractionOperator(self.target, spaces)(self)

Martin Reinecke's avatar
typos    
Martin Reinecke committed
133
    def integrate(self, spaces=None):
Philipp Arras's avatar
Philipp Arras committed
134
135
136
        from .contraction_operator import IntegrationOperator
        return IntegrationOperator(self.target, spaces)(self)

137
    def vdot(self, other):
Philipp Arras's avatar
Philipp Arras committed
138
        from ..sugar import makeOp
Martin Reinecke's avatar
Martin Reinecke committed
139
140
141
        if not isinstance(other, Operator):
            raise TypeError
        if other.jac is None:
Philipp Arras's avatar
Philipp Arras committed
142
143
            res = self.conjugate()*other
        else:
Martin Reinecke's avatar
Martin Reinecke committed
144
            res = makeOp(other) @ self.conjugate()
Philipp Arras's avatar
Philipp Arras committed
145
        return res.sum()
146

Martin Reinecke's avatar
Martin Reinecke committed
147
148
149
150
151
    @property
    def real(self):
        from .simple_linear_operators import Realizer
        return Realizer(self.target)(self)

Philipp Arras's avatar
Philipp Arras committed
152
153
154
155
156
    @property
    def imag(self):
        from .simple_linear_operators import Imaginizer
        return Imaginizer(self.target)(self)

Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
157
158
159
    def __neg__(self):
        return self.scale(-1)

Martin Reinecke's avatar
Martin Reinecke committed
160
161
162
    def __matmul__(self, x):
        if not isinstance(x, Operator):
            return NotImplemented
Martin Reinecke's avatar
Martin Reinecke committed
163
        return _OpChain.make((self, x))
Martin Reinecke's avatar
Martin Reinecke committed
164

165
166
167
168
169
    def __rmatmul__(self, x):
        if not isinstance(x, Operator):
            return NotImplemented
        return _OpChain.make((x, self))

Philipp Arras's avatar
Philipp Arras committed
170
171
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
    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
199
    def __mul__(self, x):
200
201
202
203
204
        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
205

206
207
208
    def __rmul__(self, x):
        return self.__mul__(x)

Philipp Arras's avatar
Philipp Arras committed
209
210
211
    def __add__(self, x):
        if not isinstance(x, Operator):
            return NotImplemented
Martin Reinecke's avatar
Martin Reinecke committed
212
        return _OpSum(self, x)
Philipp Arras's avatar
Philipp Arras committed
213

214
215
216
217
218
    def __sub__(self, x):
        if not isinstance(x, Operator):
            return NotImplemented
        return _OpSum(self, -x)

Martin Reinecke's avatar
Martin Reinecke committed
219
    def __pow__(self, power):
Martin Reinecke's avatar
Martin Reinecke committed
220
        if not (np.isscalar(power) or power.jac is None):
Martin Reinecke's avatar
Martin Reinecke committed
221
            return NotImplemented
Martin Reinecke's avatar
misc    
Martin Reinecke committed
222
        return self.ptw("power", power)
Martin Reinecke's avatar
Martin Reinecke committed
223

Philipp Arras's avatar
Philipp Arras committed
224
    def apply(self, x):
225
        """Applies the operator to a Field or MultiField.
Philipp Arras's avatar
Docs    
Philipp Arras committed
226
227
228
229
230
231

        Parameters
        ----------
        x : Field or MultiField
            Input on which the operator shall act. Needs to be defined on
            :attr:`domain`.
232
        """
Martin Reinecke's avatar
Martin Reinecke committed
233
        raise NotImplementedError
Martin Reinecke's avatar
Martin Reinecke committed
234

Philipp Arras's avatar
Philipp Arras committed
235
    def force(self, x):
Philipp Arras's avatar
Docs    
Philipp Arras committed
236
237
        """Extract subset of domain of x according to `self.domain` and apply
        operator."""
Philipp Arras's avatar
Fix    
Philipp Arras committed
238
        return self.apply(x.extract(self.domain))
Philipp Arras's avatar
Philipp Arras committed
239

240
    def _check_input(self, x):
Philipp Arras's avatar
Philipp Arras committed
241
        from .scaling_operator import ScalingOperator
Martin Reinecke's avatar
Martin Reinecke committed
242
        if not (isinstance(x, Operator) and x.val is not None):
Philipp Arras's avatar
Philipp Arras committed
243
            raise TypeError
Martin Reinecke's avatar
Martin Reinecke committed
244
        if x.jac is not None:
Philipp Arras's avatar
Philipp Arras committed
245
246
247
248
            if not isinstance(x.jac, ScalingOperator):
                raise ValueError
            if x.jac._factor != 1:
                raise ValueError
Philipp Arras's avatar
Philipp Arras committed
249
        self._check_domain_equality(self._domain, x.domain)
250

Martin Reinecke's avatar
Martin Reinecke committed
251
    def __call__(self, x):
Martin Reinecke's avatar
Martin Reinecke committed
252
253
254
        if not isinstance(x, Operator):
            raise TypeError
        if x.jac is not None:
Philipp Arras's avatar
Philipp Arras committed
255
            return self.apply(x.trivial_jac()).prepend_jac(x.jac)
Martin Reinecke's avatar
Martin Reinecke committed
256
        elif x.val is not None:
Philipp Arras's avatar
Philipp Arras committed
257
            return self.apply(x)
258
        return self @ x
Martin Reinecke's avatar
Martin Reinecke committed
259

Martin Reinecke's avatar
Martin Reinecke committed
260
261
    def ducktape(self, name):
        from .simple_linear_operators import ducktape
Philipp Arras's avatar
Philipp Arras committed
262
        return self @ ducktape(self, None, name)
Martin Reinecke's avatar
Martin Reinecke committed
263
264
265

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

Martin Reinecke's avatar
Martin Reinecke committed
268
269
270
    def __repr__(self):
        return self.__class__.__name__

271
    def simplify_for_constant_input(self, c_inp):
Philipp Arras's avatar
Philipp Arras committed
272
        from .energy_operators import EnergyOperator, _ConstantEnergyOperator
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
273
        if c_inp is None:
274
            return None, self
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
275
        if c_inp.domain == self.domain:
Philipp Arras's avatar
Philipp Arras committed
276
277
278
279
            if isinstance(self, EnergyOperator):
                op = _ConstantEnergyOperator(self.domain, self(c_inp))
            else:
                op = _ConstantOperator(self.domain, self(c_inp))
Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
280
281
282
283
284
            return op(c_inp), op
        return self._simplify_for_constant_input_nontrivial(c_inp)

    def _simplify_for_constant_input_nontrivial(self, c_inp):
        return None, self
285

Martin Reinecke's avatar
misc    
Martin Reinecke committed
286
287
    def ptw(self, op, *args, **kwargs):
        return _OpChain.make((_FunctionApplier(self.target, op, *args, **kwargs), self))
Martin Reinecke's avatar
Martin Reinecke committed
288
289


290
291
292
293
294
295
296
297
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))


298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
class _ConstCollector(object):
    def __init__(self):
        self._const = None
        self._nc = set()

    def mult(self, const, fulldom):
        if const is None:
            self._nc |= set(fulldom)
        else:
            self._nc |= set(fulldom) - set(const)
            if self._const is None:
                from ..multi_field import MultiField
                self._const = MultiField.from_dict(
                    {key: const[key] for key in const if key not in self._nc})
            else:
                from ..multi_field import MultiField
                self._const = MultiField.from_dict(
                    {key: self._const[key]*const[key]
                     for key in const if key not in self._nc})

    def add(self, const, fulldom):
        if const is None:
            self._nc |= set(fulldom.keys())
        else:
            from ..multi_field import MultiField
            self._nc |= set(fulldom.keys()) - set(const.keys())
            if self._const is None:
                self._const = MultiField.from_dict(
Martin Reinecke's avatar
Martin Reinecke committed
326
327
                    {key: const[key]
                     for key in const.keys() if key not in self._nc})
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
            else:
                self._const = self._const.unite(const)
                self._const = MultiField.from_dict(
                    {key: self._const[key]
                     for key in self._const if key not in self._nc})

    @property
    def constfield(self):
        return self._const


class _ConstantOperator(Operator):
    def __init__(self, dom, output):
        from ..sugar import makeDomain
        self._domain = makeDomain(dom)
        self._target = output.domain
        self._output = output

Philipp Arras's avatar
Philipp Arras committed
346
    def apply(self, x):
347
348
        from .simple_linear_operators import NullOperator
        self._check_input(x)
Martin Reinecke's avatar
more    
Martin Reinecke committed
349
        if x.jac is not None:
Philipp Arras's avatar
Philipp Arras committed
350
            return x.new(self._output, NullOperator(self._domain, self._target))
Philipp Arras's avatar
Philipp Arras committed
351
        return self._output
352
353

    def __repr__(self):
Philipp Arras's avatar
Philipp Arras committed
354
355
356
        dom = self.domain.keys() if isinstance(self.domain, MultiDomain) else '()'
        tgt = self.target.keys() if isinstance(self.target, MultiDomain) else '()'
        return f'{tgt} <- ConstantOperator <- {dom}'
Philipp Arras's avatar
Philipp Arras committed
357
358


Martin Reinecke's avatar
Martin Reinecke committed
359
class _FunctionApplier(Operator):
Martin Reinecke's avatar
misc    
Martin Reinecke committed
360
    def __init__(self, domain, funcname, *args, **kwargs):
Martin Reinecke's avatar
Martin Reinecke committed
361
        from ..sugar import makeDomain
Martin Reinecke's avatar
Martin Reinecke committed
362
        self._domain = self._target = makeDomain(domain)
Martin Reinecke's avatar
Martin Reinecke committed
363
        self._funcname = funcname
Martin Reinecke's avatar
misc    
Martin Reinecke committed
364
365
        self._args = args
        self._kwargs = kwargs
Martin Reinecke's avatar
Martin Reinecke committed
366

Philipp Arras's avatar
Philipp Arras committed
367
    def apply(self, x):
368
        self._check_input(x)
Martin Reinecke's avatar
misc    
Martin Reinecke committed
369
        return x.ptw(self._funcname, *self._args, **self._kwargs)
Martin Reinecke's avatar
Martin Reinecke committed
370
371


Martin Reinecke's avatar
Martin Reinecke committed
372
373
374
375
376
377
378
379
380
381
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
382
                res = cls.unpack(op._ops, res)
Martin Reinecke's avatar
Martin Reinecke committed
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
            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
398
399
        self._domain = self._ops[-1].domain
        self._target = self._ops[0].target
Martin Reinecke's avatar
Martin Reinecke committed
400
401
402
        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
403

Philipp Arras's avatar
Philipp Arras committed
404
    def apply(self, x):
405
        self._check_input(x)
Martin Reinecke's avatar
Martin Reinecke committed
406
407
408
409
        for op in reversed(self._ops):
            x = op(x)
        return x

Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
410
    def _simplify_for_constant_input_nontrivial(self, c_inp):
411
412
413
414
415
416
417
418
419
        from ..multi_domain import MultiDomain
        if not isinstance(self._domain, MultiDomain):
            return None, self

        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
420

Philipp Arras's avatar
Philipp Arras committed
421
422
423
424
425
    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
426
427
428
429
430
431
432
433
434
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
435

Philipp Arras's avatar
Philipp Arras committed
436
    def apply(self, x):
Martin Reinecke's avatar
Martin Reinecke committed
437
438
        from ..linearization import Linearization
        from ..sugar import makeOp
439
        self._check_input(x)
Martin Reinecke's avatar
more    
Martin Reinecke committed
440
441
        lin = x.jac is not None
        wm = x.want_metric if lin else False
Philipp Arras's avatar
Philipp Arras committed
442
        x = x.val if lin else x
Philipp Arras's avatar
Philipp Arras committed
443
444
        v1 = x.extract(self._op1.domain)
        v2 = x.extract(self._op2.domain)
Philipp Arras's avatar
Philipp Arras committed
445
        if not lin:
446
            return self._op1(v1) * self._op2(v2)
447
448
        lin1 = self._op1(Linearization.make_var(v1, wm))
        lin2 = self._op2(Linearization.make_var(v2, wm))
Philipp Arras's avatar
Philipp Arras committed
449
450
        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
451

Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
452
    def _simplify_for_constant_input_nontrivial(self, c_inp):
453
454
455
456
457
458
459
460
461
462
463
464
465
        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))

        from ..multi_domain import MultiDomain
        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
466

Philipp Arras's avatar
Philipp Arras committed
467
468
469
470
471
    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
472
473
class _OpSum(Operator):
    def __init__(self, op1, op2):
Philipp Arras's avatar
Philipp Arras committed
474
        from ..sugar import domain_union
Martin Reinecke's avatar
Martin Reinecke committed
475
476
477
478
        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
479

Philipp Arras's avatar
Philipp Arras committed
480
    def apply(self, x):
Martin Reinecke's avatar
Martin Reinecke committed
481
        from ..linearization import Linearization
482
        self._check_input(x)
Martin Reinecke's avatar
more    
Martin Reinecke committed
483
        if x.jac is None:
Philipp Arras's avatar
Philipp Arras committed
484
485
            v1 = x.extract(self._op1.domain)
            v2 = x.extract(self._op2.domain)
Martin Reinecke's avatar
Martin Reinecke committed
486
            return self._op1(v1).unite(self._op2(v2))
Philipp Arras's avatar
Philipp Arras committed
487
488
489
        v1 = x.val.extract(self._op1.domain)
        v2 = x.val.extract(self._op2.domain)
        wm = x.want_metric
490
491
        lin1 = self._op1(Linearization.make_var(v1, wm))
        lin2 = self._op2(Linearization.make_var(v2, wm))
Martin Reinecke's avatar
Martin Reinecke committed
492
        op = lin1._jac._myadd(lin2._jac, False)
Philipp Arras's avatar
Philipp Arras committed
493
        res = lin1.new(lin1._val.unite(lin2._val), op)
Martin Reinecke's avatar
Martin Reinecke committed
494
        if lin1._metric is not None and lin2._metric is not None:
Philipp Arras's avatar
Philipp Arras committed
495
            res = res.add_metric(lin1._metric._myadd(lin2._metric, False))
Philipp Arras's avatar
Philipp Arras committed
496
        return res
497

Martin Reinecke's avatar
cleanup    
Martin Reinecke committed
498
    def _simplify_for_constant_input_nontrivial(self, c_inp):
499
500
501
502
503
504
505
506
507
508
509
510
511
        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))

        from ..multi_domain import MultiDomain
        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
512
513
514
515

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