data.py
18.3 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
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
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
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
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
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
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
from itertools import chain
from inspect import cleandoc
from collections import defaultdict
from . import CAni, ExecEnv
class dopt (dict) :
def __str__ (self) :
return ",".join("%s=%s" % (k, v) if v is not None else k
for (k, v) in self.items())
_opposite = {"north": "south",
"east": "west",
"south": "north",
"west": "east"}
opp = _opposite.get
class TikZ (object) :
_defaults = {"tikzpicture": {},
"pos": {},
"value": {"minimum size": "1cm",
"transform shape": None,
"draw": None,
"inner sep": "0pt",
"outer sep": "0pt"},
"valuescope": {},
"aggregatescope": {},
"arrayscope": {},
"structscope": {},
"heapscope": {},
"boxscope": {},
"valueread" : {"very thick": None,
"draw": "blue!50!black",
"fill": "blue!20"},
"valuewrite": {"very thick": None,
"draw": "red!50!black",
"fill": "red!20"},
"valuereadwrite": {"very thick": None,
"draw": "purple!50!black",
"fill": "purple!20"},
"pointer": {"thick": None,
"|-{Stealth[round]}": None},
"aggregate": {"grow": "east",
"ticks": "south"},
"heap": {"grow": "left",
"distance": "15mm"},
"group": {"opacity": 0,
"draw": "yellow",
"very thick": None,
"inner sep": "0pt",
"outer sep": "0pt"},
"alloc": {},
"index": {"scale": ".9"},
"ticks": {"gray": None,
"scale": ".7"}}
def __init__ (self, options, **default) :
self._keys = []
for key, val in chain(self._defaults.items(), default.items(), options.items()) :
self.__dict__.setdefault(key, dopt()).update(val)
self._keys.append(key)
def __add__ (self, options) :
return self.__class__(options, **self.dict())
def __truediv__ (self, key) :
new = __class__(self)
setattr(new, key, dopt())
return new
def items (self) :
for key in self._keys :
yield key, getattr(self, key)
def dict (self) :
return dict(self.items())
class CAniTikZ (CAni) :
_nodeid = defaultdict(int)
_defaults = {}
def __init__ (self, tikz) :
self.nodeid = tikz.pop("nodeid", None)
if self.nodeid is None :
char = self.__class__.__name__[0].lower()
num = self._nodeid[char]
self.nodeid = f"{char}{num}"
self._nodeid[char] = num + 1
self._o = TikZ(tikz, **self._defaults)
def __matmul__ (self, key) :
if key == None :
return self
else :
raise ValueError("invalid index %r for %s object"
% (key, self.__class__.__name__))
def ptr (self) :
return Pointer(self)
def tex (self, head=None, tail=None, **tikz) :
opt = TikZ(tikz)
return cleandoc(r"""\begin{{tikzpicture}}[{opt.tikzpicture}]
{head}{code}{tail}
\end{{tikzpicture}}
""").format(opt=opt,
head=(head.strip("\n") + "\n") if head else "",
tail=("\n" + tail.strip("\n")) if tail else "",
code="\n ".join(self.tikz(**tikz).splitlines()))
class Pointer (CAniTikZ) :
def __init__ (self, data) :
self.__dict__.update(_d=data, nodeid=None)
def val (self) :
return self._d
def __tikz__ (self, src, opt) :
if self._d is None :
return ""
else :
tgt = (self._d@None).nodeid
return fr"\draw[{opt.pointer}] ({src}) -- ({tgt});"
def __getitem__ (self, key) :
return self._d[key]
def __setitem__ (self, key, val) :
self._d[key] = val
def __getattr__ (self, key) :
return getattr(self._d, key)
def __setattr__ (self, key, val) :
setattr(self._d, key, val)
class Value (CAniTikZ) :
def __init__ (self, init=None, **tikz) :
super().__init__(tikz)
self._h = [[init, self.IP, None]]
self._r = set()
self._w = set()
def get (self) :
self._r.add(self.IP)
return self._h[-1][0]
def set (self, val) :
self._w.add(self.IP)
if self._h[-1][0] == val :
pass
elif self.IP == self._h[-1][1] :
self._h[-1][0] = val
else :
self._h[-1][2] = self.IP - 1
self._h.append([val, self.IP, None])
def stop (self) :
if self.IP == self._h[-1][1] :
self._h[-1][2] = self.IP
else :
self._h[-1][2] = self.IP - 1
def tikz (self, **tikz) :
tpl = r"""%% {classname} {nodeid}
\begin{{scope}}[{opt.valuescope}]
{node}
{highlight}
{states}
\end{{scope}}
%% /{classname} {nodeid}
"""
opt = TikZ(tikz) + self._o
self.stop()
return cleandoc(tpl).format(classname=self.__class__.__name__,
opt=opt,
node=(self._node(opt)
or "% skipped node"),
nodeid=self.nodeid,
highlight=("\n ".join(self._highlight(opt))
or "% skipped reads/writes"),
states=("\n ".join(self._states(opt))
or "%s skipped states"))
def _highlight (self, opt) :
nodeid = self.nodeid
for cat, steps in zip([opt.valueread, opt.valuewrite, opt.valuereadwrite],
[self._r-self._w, self._w-self._r, self._w&self._r]) :
if steps :
when = ",".join(str(s) for s in sorted(steps))
yield cleandoc(fr"""\only<{when}>{{
\draw[{cat}] ({nodeid}.south west) rectangle ({nodeid}.north east);
}}
""")
def _node (self, opt) :
return fr"\node[{opt.value},{opt.pos}] ({self.nodeid}) {{}};"
def _states (self, opt) :
for value, start, stop in self._h :
if value is not None :
yield (r"\only<{start}-{stop}>{{ {state} }}"
r"").format(start=start or 1,
stop=stop or "",
state=self._state(value, opt))
def _state (self, value, opt) :
try :
return value.__tikz__(f"{self.nodeid}.center", opt)
except :
return f"\node at ({self.nodeid}) {{{value}\strut}};"
ExecEnv._ValueClass = Value
class Aggregate (CAniTikZ) :
def __init__ (self, init, **tikz) :
super().__init__(tikz)
if isinstance(init, int) :
self._d = {k: Value(None, nodeid=f"{self.nodeid}/{k}", **tikz)
for k in range(init)}
elif isinstance(init, list) :
self._d = {}
for k, v in enumerate(init) :
if isinstance(v, Value) :
self._d[k] = v
else :
self._d[k] = Value(v, nodeid=f"{self.nodeid}/{k}", **tikz)
elif isinstance(init, dict) :
self._d = {}
for k, v in init.items() :
if isinstance(v, Value) :
self._d[k] = v
else :
self._d[k] = Value(v, nodeid=f"{self.nodeid}/{k}", **tikz)
items = list(self._d.values())
self._first = items[0]
self._last = items[-1]
def __matmul__ (self, key) :
if key in self._d :
return self._d[key]
elif key == None :
return self._first
else :
raise ValueError("invalid index %r for %s object"
% (key, self.__class__.__name__))
def __getitem__ (self, key) :
return self._d[key].get()
def __setitem__ (self, key, val) :
self._d[key].set(val)
def __len__ (self) :
return len(self._d)
def stop (self) :
for v in self._d.values() :
v.stop()
def tikz (self, **tikz) :
tpl = r"""%% {classname} {nodeid}
\begin{{scope}}[{opt.aggregatescope}]
{nodes}
{ticks}
{highlight}
{states}
\end{{scope}}
%% /{classname} {nodeid}
"""
opt = TikZ(tikz) + self._o
self.stop()
return cleandoc(tpl).format(classname=self.__class__.__name__,
nodeid=self.nodeid,
opt=opt,
nodes="\n ".join(self._nodes(opt)),
ticks=("\n ".join(self._ticks(opt))
or "% skipped ticks"),
highlight=("\n ".join(self._highlight(opt))
or "% skipped reads/writes"),
states=("\n ".join(self._states(opt))
or "% skipped states"))
def _nodes (self, opt) :
grow = opt.aggregate["grow"]
anchor = opp(grow)
for key, val in self._d.items() :
yield val._node(opt)
opt = (opt / "pos") + {"value": {"anchor": anchor},
"pos": {"at": f"({val.nodeid}.{grow})"}}
first, last = self._first.nodeid, self._last.nodeid
yield fr"\node[{opt.group},fit=({first}) ({last})] ({self.nodeid}) {{}};"
def _ticks (self, opt) :
side = opt.aggregate.get("ticks", None)
if not side :
return
anchor = opp(side)
for key, val in self._d.items() :
tick = self._tick(key, opt)
nodeid = val.nodeid
yield fr"\node[{opt.ticks},anchor={anchor}] at ({nodeid}.{side}) {{{tick}}};"
def _tick (self, key, opt) :
return fr"{key}\strut"
def _highlight (self, opt) :
for access, steps in zip([opt.valueread, opt.valuewrite, opt.valuereadwrite],
[lambda v: v._r - v._w,
lambda v: v._w - v._r,
lambda v: v._w & v._r]) :
anim = defaultdict(list)
for key, val in self._d.items() :
for s in steps(val) :
anim[s].append(key)
mina = defaultdict(set)
for step, keys in anim.items() :
mina[tuple(sorted(keys))].add(step)
def minstep (item) :
return tuple(sorted(item[1]))
for info, steps in sorted(mina.items(), key=minstep) :
when = ",".join(str(s) for s in sorted(steps))
yield fr"\only<{when}>{{"
for key in info :
nodeid = (self@key).nodeid
yield (fr"\draw[{access}] ({nodeid}.south west) rectangle"
fr" ({nodeid}.north east);")
yield "}"
def _states (self, opt) :
anim = defaultdict(list)
for key, val in self._d.items() :
for value, start, stop in val._h :
anim[start,stop].append((key, value))
def firstlargest (item) :
return (item[0][0], -item[0][1])
for (start, stop), info in sorted(anim.items(), key=firstlargest) :
if all(v is None for _, v in info) :
continue
yield fr"\only<{start}-{stop}>{{"
for key, val in info :
if val is not None :
nodeid = (self@key).nodeid
try :
yield " " + val.__tikz__(f"{nodeid}.center", opt)
except :
yield fr" \node at ({nodeid}) {{{val}}};"
yield "}"
class Array (Aggregate) :
_defaults = {"aggregate": {"index": "north"}}
def __init__ (self, init, index=[], **tikz) :
super().__init__(init, **tikz)
self._o.aggregatescope = self._o.arrayscope
self._i = {}
for i in index :
self.index(i)
def index (self, name, init=None) :
self._i[name] = self._env[name] = Value(init)
def _ticks (self, opt) :
for t in super()._ticks(opt) :
yield t
side = opt.aggregate.get("index", None)
if not side :
return
anchor = opp(side)
anim = defaultdict(list)
for name, value in self._i.items() :
value.stop()
for val, start, stop in value._h :
for step in range(start, stop+1) :
anim[step].append((name, val))
mina = defaultdict(set)
for step, keys in anim.items() :
mina[tuple(sorted(keys))].add(step)
def minstep (item) :
return tuple(sorted(item[1]))
for info, steps in sorted(mina.items(), key=minstep) :
xpos = defaultdict(list)
for name, value in info :
if value is not None :
xpos[value].append(name)
if not xpos :
continue
when = ",".join(str(s) for s in sorted(steps))
yield fr"\uncover<{when}>{{"
for value, names in xpos.items() :
label = self._index(names, opt)
try :
cell = (self@value).nodeid
except ValueError :
continue
yield (fr" \node[{opt.index},anchor={anchor},at=({cell}.{side})]"
fr" {{{label}}};")
yield "}"
def _index (self, names, opt) :
label = ",".join(sorted(names))
return fr"{label}\strut"
class Struct (Aggregate) :
_defaults = {"aggregate": {"grow": "south",
"ticks": "west"}}
def __init__ (self, init, **tikz) :
self.__dict__.update(_d={}, _o=None, _first=None, _last=None, nodeid=None)
super().__init__(init, **tikz)
self._o.aggregatescope = self._o.structscope
def _tick (self, key, opt) :
return fr".{key}\strut"
def __getattr__ (self, name) :
return self[name]
def __setattr__ (self, name, value) :
if name in self._d :
self[name] = value
else :
self.__dict__[name] = value
class Heap (CAniTikZ) :
_defaults = {"group": {"inner sep": "5mm"}}
def __init__ (self, **tikz) :
super().__init__(tikz)
self._alloc = {}
self._freed = {}
def new (self, data) :
self._alloc[data.nodeid] = [data, self.IP, ""]
return Pointer(data)
def free (self, ptr) :
data = ptr.get()
l = self._freed[data.nodeid] = self._alloc.pop(data.nodeid)
l[-1] = self.IP
ptr.set(None)
def tikz (self, **tikz) :
opt = TikZ(tikz) + self._o
classname = self.__class__.__name__
nodeid = self.nodeid
return (f"%% {classname} {nodeid}\n"
+ "\n".join(self._tikz(opt))
+ f"\n%% /{classname} {nodeid}")
def _tikz (self, opt) :
fit = []
yield fr"\begin{{scope}}[{opt.heapscope}]"
for data, start, stop in chain(self._alloc.values(), self._freed.values()) :
fit.append(data.nodeid)
yield fr" \uncover<{start}-{stop}>{{"
yield fr" %% allocated data"
yield fr" \begin{{scope}}[{opt.alloc}]"
for line in data.tikz(**opt.dict()).splitlines() :
yield " " + line
yield r" \end{scope}"
yield r" }"
opt = opt + {"pos": {opt.heap["grow"]:
"{dist} of {prev}".format(dist=opt.heap["distance"],
prev=(data@None).nodeid)}}
children = " ".join(f"({nid})" for nid in fit)
yield fr" \node[{opt.group},fit={children}] ({self.nodeid}) {{}};"
yield r"\end{scope}"
_flip = {"right": "below",
"below": "right",
"left": "above",
"above": "left"}
class Box (CAniTikZ) :
def __init__ (self, *content, grow="right", distance="15mm", parent=None, **tikz) :
super().__init__(tikz)
self._grow = grow
self._dist = distance
self._parent = parent
self._data = tuple(self._init(content))
def _init (self, content) :
for obj in content :
if isinstance(obj, CAniTikZ) :
yield obj
elif isinstance(obj, list) :
yield self.__class__(*obj,
grow=(_flip.get(self._grow) if self._parent is None
else self._parent._grow),
distance=self._dist,
parent=self,
**self._o.dict())
else :
raise ValueError("invalid %s content: %r"
% (self.__class__.__name__, obj))
def tikz (self, **tikz) :
opt = TikZ(tikz) + self._o
classname = self.__class__.__name__
nodeid = self.nodeid
return (f"%% {classname} {nodeid} ({self._grow})\n"
+ "\n".join(self._tikz(opt))
+ f"\n%% /{classname} {nodeid}")
def _tikz (self, opt) :
fit = []
yield fr"\begin{{scope}}[{opt.boxscope}]"
for data in self._data :
fit.append(data.nodeid)
yield fr" %% box {self.nodeid} content"
for line in data.tikz(**opt.dict()).splitlines() :
yield " " + line
opt = opt + {"pos": {self._grow:
"{dist} of {prev}".format(dist=self._dist,
prev=(data@None).nodeid)}}
children = " ".join(f"({nid})" for nid in fit)
yield fr" \node[{opt.group},fit={children}] ({self.nodeid}) {{}};"
yield r"\end{scope}"