/usr/lib/python3/dist-packages/pyqtgraph/pgcollections.py is in python3-pyqtgraph 0.10.0-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 | # -*- coding: utf-8 -*-
"""
advancedTypes.py - Basic data structures not included with python
Copyright 2010 Luke Campagnola
Distributed under MIT/X11 license. See license.txt for more infomation.
Includes:
- OrderedDict - Dictionary which preserves the order of its elements
- BiDict, ReverseDict - Bi-directional dictionaries
- ThreadsafeDict, ThreadsafeList - Self-mutexed data structures
"""
import threading, sys, copy, collections
#from debug import *
try:
from collections import OrderedDict
except ImportError:
# fallback: try to use the ordereddict backport when using python 2.6
from ordereddict import OrderedDict
class ReverseDict(dict):
"""extends dict so that reverse lookups are possible by requesting the key as a list of length 1:
d = BiDict({'x': 1, 'y': 2})
d['x']
1
d[[2]]
'y'
"""
def __init__(self, data=None):
if data is None:
data = {}
self.reverse = {}
for k in data:
self.reverse[data[k]] = k
dict.__init__(self, data)
def __getitem__(self, item):
if type(item) is list:
return self.reverse[item[0]]
else:
return dict.__getitem__(self, item)
def __setitem__(self, item, value):
self.reverse[value] = item
dict.__setitem__(self, item, value)
def __deepcopy__(self, memo):
raise Exception("deepcopy not implemented")
class BiDict(dict):
"""extends dict so that reverse lookups are possible by adding each reverse combination to the dict.
This only works if all values and keys are unique."""
def __init__(self, data=None):
if data is None:
data = {}
dict.__init__(self)
for k in data:
self[data[k]] = k
def __setitem__(self, item, value):
dict.__setitem__(self, item, value)
dict.__setitem__(self, value, item)
def __deepcopy__(self, memo):
raise Exception("deepcopy not implemented")
class ThreadsafeDict(dict):
"""Extends dict so that getitem, setitem, and contains are all thread-safe.
Also adds lock/unlock functions for extended exclusive operations
Converts all sub-dicts and lists to threadsafe as well.
"""
def __init__(self, *args, **kwargs):
self.mutex = threading.RLock()
dict.__init__(self, *args, **kwargs)
for k in self:
if type(self[k]) is dict:
self[k] = ThreadsafeDict(self[k])
def __getitem__(self, attr):
self.lock()
try:
val = dict.__getitem__(self, attr)
finally:
self.unlock()
return val
def __setitem__(self, attr, val):
if type(val) is dict:
val = ThreadsafeDict(val)
self.lock()
try:
dict.__setitem__(self, attr, val)
finally:
self.unlock()
def __contains__(self, attr):
self.lock()
try:
val = dict.__contains__(self, attr)
finally:
self.unlock()
return val
def __len__(self):
self.lock()
try:
val = dict.__len__(self)
finally:
self.unlock()
return val
def clear(self):
self.lock()
try:
dict.clear(self)
finally:
self.unlock()
def lock(self):
self.mutex.acquire()
def unlock(self):
self.mutex.release()
def __deepcopy__(self, memo):
raise Exception("deepcopy not implemented")
class ThreadsafeList(list):
"""Extends list so that getitem, setitem, and contains are all thread-safe.
Also adds lock/unlock functions for extended exclusive operations
Converts all sub-lists and dicts to threadsafe as well.
"""
def __init__(self, *args, **kwargs):
self.mutex = threading.RLock()
list.__init__(self, *args, **kwargs)
for k in self:
self[k] = mkThreadsafe(self[k])
def __getitem__(self, attr):
self.lock()
try:
val = list.__getitem__(self, attr)
finally:
self.unlock()
return val
def __setitem__(self, attr, val):
val = makeThreadsafe(val)
self.lock()
try:
list.__setitem__(self, attr, val)
finally:
self.unlock()
def __contains__(self, attr):
self.lock()
try:
val = list.__contains__(self, attr)
finally:
self.unlock()
return val
def __len__(self):
self.lock()
try:
val = list.__len__(self)
finally:
self.unlock()
return val
def lock(self):
self.mutex.acquire()
def unlock(self):
self.mutex.release()
def __deepcopy__(self, memo):
raise Exception("deepcopy not implemented")
def makeThreadsafe(obj):
if type(obj) is dict:
return ThreadsafeDict(obj)
elif type(obj) is list:
return ThreadsafeList(obj)
elif type(obj) in [str, int, float, bool, tuple]:
return obj
else:
raise Exception("Not sure how to make object of type %s thread-safe" % str(type(obj)))
class Locker(object):
def __init__(self, lock):
self.lock = lock
self.lock.acquire()
def __del__(self):
try:
self.lock.release()
except:
pass
class CaselessDict(OrderedDict):
"""Case-insensitive dict. Values can be set and retrieved using keys of any case.
Note that when iterating, the original case is returned for each key."""
def __init__(self, *args):
OrderedDict.__init__(self, {}) ## requirement for the empty {} here seems to be a python bug?
self.keyMap = OrderedDict([(k.lower(), k) for k in OrderedDict.keys(self)])
if len(args) == 0:
return
elif len(args) == 1 and isinstance(args[0], dict):
for k in args[0]:
self[k] = args[0][k]
else:
raise Exception("CaselessDict may only be instantiated with a single dict.")
#def keys(self):
#return self.keyMap.values()
def __setitem__(self, key, val):
kl = key.lower()
if kl in self.keyMap:
OrderedDict.__setitem__(self, self.keyMap[kl], val)
else:
OrderedDict.__setitem__(self, key, val)
self.keyMap[kl] = key
def __getitem__(self, key):
kl = key.lower()
if kl not in self.keyMap:
raise KeyError(key)
return OrderedDict.__getitem__(self, self.keyMap[kl])
def __contains__(self, key):
return key.lower() in self.keyMap
def update(self, d):
for k, v in d.iteritems():
self[k] = v
def copy(self):
return CaselessDict(OrderedDict.copy(self))
def __delitem__(self, key):
kl = key.lower()
if kl not in self.keyMap:
raise KeyError(key)
OrderedDict.__delitem__(self, self.keyMap[kl])
del self.keyMap[kl]
def __deepcopy__(self, memo):
raise Exception("deepcopy not implemented")
def clear(self):
OrderedDict.clear(self)
self.keyMap.clear()
class ProtectedDict(dict):
"""
A class allowing read-only 'view' of a dict.
The object can be treated like a normal dict, but will never modify the original dict it points to.
Any values accessed from the dict will also be read-only.
"""
def __init__(self, data):
self._data_ = data
## List of methods to directly wrap from _data_
wrapMethods = ['_cmp_', '__contains__', '__eq__', '__format__', '__ge__', '__gt__', '__le__', '__len__', '__lt__', '__ne__', '__reduce__', '__reduce_ex__', '__repr__', '__str__', 'count', 'has_key', 'iterkeys', 'keys', ]
## List of methods which wrap from _data_ but return protected results
protectMethods = ['__getitem__', '__iter__', 'get', 'items', 'values']
## List of methods to disable
disableMethods = ['__delitem__', '__setitem__', 'clear', 'pop', 'popitem', 'setdefault', 'update']
## Template methods
def wrapMethod(methodName):
return lambda self, *a, **k: getattr(self._data_, methodName)(*a, **k)
def protectMethod(methodName):
return lambda self, *a, **k: protect(getattr(self._data_, methodName)(*a, **k))
def error(self, *args, **kargs):
raise Exception("Can not modify read-only list.")
## Directly (and explicitly) wrap some methods from _data_
## Many of these methods can not be intercepted using __getattribute__, so they
## must be implemented explicitly
for methodName in wrapMethods:
locals()[methodName] = wrapMethod(methodName)
## Wrap some methods from _data_ with the results converted to protected objects
for methodName in protectMethods:
locals()[methodName] = protectMethod(methodName)
## Disable any methods that could change data in the list
for methodName in disableMethods:
locals()[methodName] = error
## Add a few extra methods.
def copy(self):
raise Exception("It is not safe to copy protected dicts! (instead try deepcopy, but be careful.)")
def itervalues(self):
for v in self._data_.itervalues():
yield protect(v)
def iteritems(self):
for k, v in self._data_.iteritems():
yield (k, protect(v))
def deepcopy(self):
return copy.deepcopy(self._data_)
def __deepcopy__(self, memo):
return copy.deepcopy(self._data_, memo)
class ProtectedList(collections.Sequence):
"""
A class allowing read-only 'view' of a list or dict.
The object can be treated like a normal list, but will never modify the original list it points to.
Any values accessed from the list will also be read-only.
Note: It would be nice if we could inherit from list or tuple so that isinstance checks would work.
However, doing this causes tuple(obj) to return unprotected results (importantly, this means
unpacking into function arguments will also fail)
"""
def __init__(self, data):
self._data_ = data
#self.__mro__ = (ProtectedList, object)
## List of methods to directly wrap from _data_
wrapMethods = ['__contains__', '__eq__', '__format__', '__ge__', '__gt__', '__le__', '__len__', '__lt__', '__ne__', '__reduce__', '__reduce_ex__', '__repr__', '__str__', 'count', 'index']
## List of methods which wrap from _data_ but return protected results
protectMethods = ['__getitem__', '__getslice__', '__mul__', '__reversed__', '__rmul__']
## List of methods to disable
disableMethods = ['__delitem__', '__delslice__', '__iadd__', '__imul__', '__setitem__', '__setslice__', 'append', 'extend', 'insert', 'pop', 'remove', 'reverse', 'sort']
## Template methods
def wrapMethod(methodName):
return lambda self, *a, **k: getattr(self._data_, methodName)(*a, **k)
def protectMethod(methodName):
return lambda self, *a, **k: protect(getattr(self._data_, methodName)(*a, **k))
def error(self, *args, **kargs):
raise Exception("Can not modify read-only list.")
## Directly (and explicitly) wrap some methods from _data_
## Many of these methods can not be intercepted using __getattribute__, so they
## must be implemented explicitly
for methodName in wrapMethods:
locals()[methodName] = wrapMethod(methodName)
## Wrap some methods from _data_ with the results converted to protected objects
for methodName in protectMethods:
locals()[methodName] = protectMethod(methodName)
## Disable any methods that could change data in the list
for methodName in disableMethods:
locals()[methodName] = error
## Add a few extra methods.
def __iter__(self):
for item in self._data_:
yield protect(item)
def __add__(self, op):
if isinstance(op, ProtectedList):
return protect(self._data_.__add__(op._data_))
elif isinstance(op, list):
return protect(self._data_.__add__(op))
else:
raise TypeError("Argument must be a list.")
def __radd__(self, op):
if isinstance(op, ProtectedList):
return protect(op._data_.__add__(self._data_))
elif isinstance(op, list):
return protect(op.__add__(self._data_))
else:
raise TypeError("Argument must be a list.")
def deepcopy(self):
return copy.deepcopy(self._data_)
def __deepcopy__(self, memo):
return copy.deepcopy(self._data_, memo)
def poop(self):
raise Exception("This is a list. It does not poop.")
class ProtectedTuple(collections.Sequence):
"""
A class allowing read-only 'view' of a tuple.
The object can be treated like a normal tuple, but its contents will be returned as protected objects.
Note: It would be nice if we could inherit from list or tuple so that isinstance checks would work.
However, doing this causes tuple(obj) to return unprotected results (importantly, this means
unpacking into function arguments will also fail)
"""
def __init__(self, data):
self._data_ = data
## List of methods to directly wrap from _data_
wrapMethods = ['__contains__', '__eq__', '__format__', '__ge__', '__getnewargs__', '__gt__', '__hash__', '__le__', '__len__', '__lt__', '__ne__', '__reduce__', '__reduce_ex__', '__repr__', '__str__', 'count', 'index']
## List of methods which wrap from _data_ but return protected results
protectMethods = ['__getitem__', '__getslice__', '__iter__', '__add__', '__mul__', '__reversed__', '__rmul__']
## Template methods
def wrapMethod(methodName):
return lambda self, *a, **k: getattr(self._data_, methodName)(*a, **k)
def protectMethod(methodName):
return lambda self, *a, **k: protect(getattr(self._data_, methodName)(*a, **k))
## Directly (and explicitly) wrap some methods from _data_
## Many of these methods can not be intercepted using __getattribute__, so they
## must be implemented explicitly
for methodName in wrapMethods:
locals()[methodName] = wrapMethod(methodName)
## Wrap some methods from _data_ with the results converted to protected objects
for methodName in protectMethods:
locals()[methodName] = protectMethod(methodName)
## Add a few extra methods.
def deepcopy(self):
return copy.deepcopy(self._data_)
def __deepcopy__(self, memo):
return copy.deepcopy(self._data_, memo)
def protect(obj):
if isinstance(obj, dict):
return ProtectedDict(obj)
elif isinstance(obj, list):
return ProtectedList(obj)
elif isinstance(obj, tuple):
return ProtectedTuple(obj)
else:
return obj
if __name__ == '__main__':
d = {'x': 1, 'y': [1,2], 'z': ({'a': 2, 'b': [3,4], 'c': (5,6)}, 1, 2)}
dp = protect(d)
l = [1, 'x', ['a', 'b'], ('c', 'd'), {'x': 1, 'y': 2}]
lp = protect(l)
t = (1, 'x', ['a', 'b'], ('c', 'd'), {'x': 1, 'y': 2})
tp = protect(t)
|