#17115,17116: Have modules initialize the __package__ and __loader__

attributes to None.

The long-term goal is for people to be able to rely on these
attributes existing and checking for None to see if they have been
set. Since import itself sets these attributes when a loader does not
the only instances when the attributes are None are from someone
overloading __import__() and not using a loader or someone creating a
module from scratch.

This patch also unifies module initialization. Before you could have
different attributes with default values depending on how the module
object was created. Now the only way to not get the same default set
of attributes is to circumvent initialization by calling
ModuleType.__new__() directly.
This commit is contained in:
Brett Cannon 2013-05-04 13:56:58 -04:00
parent 4cfc0b5411
commit 4c14b5de1c
15 changed files with 264 additions and 220 deletions

View file

@ -3354,189 +3354,190 @@ const unsigned char _Py_M__importlib[] = {
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0,113,233,2,110,0,0,100,2,0,83,40,28,0,0,0,
117,250,0,0,0,83,101,116,117,112,32,105,109,112,111,114,
116,108,105,98,32,98,121,32,105,109,112,111,114,116,105,110,
103,32,110,101,101,100,101,100,32,98,117,105,108,116,45,105,
110,32,109,111,100,117,108,101,115,32,97,110,100,32,105,110,
106,101,99,116,105,110,103,32,116,104,101,109,10,32,32,32,
32,105,110,116,111,32,116,104,101,32,103,108,111,98,97,108,
32,110,97,109,101,115,112,97,99,101,46,10,10,32,32,32,
32,65,115,32,115,121,115,32,105,115,32,110,101,101,100,101,
100,32,102,111,114,32,115,121,115,46,109,111,100,117,108,101,
115,32,97,99,99,101,115,115,32,97,110,100,32,95,105,109,
112,32,105,115,32,110,101,101,100,101,100,32,116,111,32,108,
111,97,100,32,98,117,105,108,116,45,105,110,10,32,32,32,
32,109,111,100,117,108,101,115,44,32,116,104,111,115,101,32,
116,119,111,32,109,111,100,117,108,101,115,32,109,117,115,116,
32,98,101,32,101,120,112,108,105,99,105,116,108,121,32,112,
97,115,115,101,100,32,105,110,46,10,10,32,32,32,32,114,
149,0,0,0,78,114,48,0,0,0,114,170,0,0,0,244,
8,0,0,0,98,117,105,108,116,105,110,115,114,186,0,0,
0,116,5,0,0,0,112,111,115,105,120,245,1,0,0,0,
47,244,2,0,0,0,110,116,245,1,0,0,0,92,99,1,
0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,115,
0,0,0,115,33,0,0,0,124,0,0,93,23,0,125,1,
0,116,0,0,124,1,0,131,1,0,100,0,0,107,2,0,
86,1,113,3,0,100,1,0,83,40,2,0,0,0,114,29,
0,0,0,78,40,1,0,0,0,114,31,0,0,0,40,2,
0,0,0,114,22,0,0,0,114,118,0,0,0,114,4,0,
0,0,114,4,0,0,0,114,5,0,0,0,114,2,1,0,
0,210,6,0,0,115,2,0,0,0,6,0,117,25,0,0,
0,95,115,101,116,117,112,46,60,108,111,99,97,108,115,62,
46,60,103,101,110,101,120,112,114,62,114,71,0,0,0,117,
30,0,0,0,105,109,112,111,114,116,108,105,98,32,114,101,
113,117,105,114,101,115,32,112,111,115,105,120,32,111,114,32,
110,116,114,72,0,0,0,114,95,0,0,0,116,6,0,0,
0,119,105,110,114,101,103,114,206,0,0,0,114,3,0,0,
0,114,25,0,0,0,114,21,0,0,0,114,30,0,0,0,
114,6,0,0,0,117,4,0,0,0,46,112,121,119,117,6,
0,0,0,95,100,46,112,121,100,84,40,4,0,0,0,117,
3,0,0,0,95,105,111,117,9,0,0,0,95,119,97,114,
110,105,110,103,115,117,8,0,0,0,98,117,105,108,116,105,
110,115,117,7,0,0,0,109,97,114,115,104,97,108,40,32,
0,0,0,114,97,0,0,0,114,7,0,0,0,114,105,0,
0,0,114,106,0,0,0,114,108,0,0,0,114,75,1,0,
0,114,107,0,0,0,114,65,0,0,0,114,152,0,0,0,
244,5,0,0,0,105,116,101,109,115,114,187,0,0,0,114,
61,0,0,0,114,163,0,0,0,114,194,0,0,0,114,149,
0,0,0,114,166,0,0,0,114,202,0,0,0,114,56,0,
0,0,114,198,0,0,0,114,60,0,0,0,244,3,0,0,
0,97,108,108,114,89,0,0,0,114,154,0,0,0,114,26,
0,0,0,114,11,0,0,0,114,4,1,0,0,114,192,0,
0,0,114,74,1,0,0,114,122,0,0,0,114,251,0,0,
0,114,205,0,0,0,114,209,0,0,0,40,16,0,0,0,
244,10,0,0,0,115,121,115,95,109,111,100,117,108,101,244,
11,0,0,0,95,105,109,112,95,109,111,100,117,108,101,116,
11,0,0,0,109,111,100,117,108,101,95,116,121,112,101,114,
66,0,0,0,114,145,0,0,0,116,11,0,0,0,115,101,
108,102,95,109,111,100,117,108,101,116,12,0,0,0,98,117,
105,108,116,105,110,95,110,97,109,101,116,14,0,0,0,98,
117,105,108,116,105,110,95,109,111,100,117,108,101,116,10,0,
0,0,111,115,95,100,101,116,97,105,108,115,116,10,0,0,
0,98,117,105,108,116,105,110,95,111,115,114,21,0,0,0,
114,25,0,0,0,116,9,0,0,0,111,115,95,109,111,100,
117,108,101,116,13,0,0,0,116,104,114,101,97,100,95,109,
111,100,117,108,101,116,14,0,0,0,119,101,97,107,114,101,
102,95,109,111,100,117,108,101,116,13,0,0,0,119,105,110,
114,101,103,95,109,111,100,117,108,101,114,4,0,0,0,114,
4,0,0,0,114,5,0,0,0,244,6,0,0,0,95,115,
101,116,117,112,173,6,0,0,115,102,0,0,0,0,9,6,
1,6,2,12,1,9,2,6,2,12,1,28,1,15,1,24,
1,15,1,12,1,15,1,22,2,13,1,13,1,15,1,18,
2,13,1,20,2,33,1,19,2,31,1,10,1,15,1,13,
1,4,2,3,1,15,1,5,1,13,1,12,2,12,2,3,
1,19,1,13,2,11,1,15,2,12,1,15,1,19,2,16,
1,16,1,16,1,16,1,25,2,19,1,19,1,12,1,13,
1,12,1,114,86,1,0,0,99,2,0,0,0,0,0,0,
0,3,0,0,0,3,0,0,0,67,0,0,0,115,136,0,
0,0,116,0,0,124,0,0,124,1,0,131,2,0,1,116,
1,0,131,0,0,125,2,0,116,2,0,106,3,0,106,4,
0,116,5,0,106,6,0,124,2,0,140,0,0,103,1,0,
131,1,0,1,116,2,0,106,7,0,106,8,0,116,9,0,
131,1,0,1,116,2,0,106,7,0,106,8,0,116,10,0,
131,1,0,1,116,11,0,106,12,0,100,1,0,107,2,0,
114,116,0,116,2,0,106,7,0,106,8,0,116,13,0,131,
1,0,1,110,0,0,116,2,0,106,7,0,106,8,0,116,
14,0,131,1,0,1,100,2,0,83,40,3,0,0,0,117,
50,0,0,0,73,110,115,116,97,108,108,32,105,109,112,111,
114,116,108,105,98,32,97,115,32,116,104,101,32,105,109,112,
108,101,109,101,110,116,97,116,105,111,110,32,111,102,32,105,
109,112,111,114,116,46,114,80,1,0,0,78,40,15,0,0,
0,114,86,1,0,0,114,215,0,0,0,114,7,0,0,0,
114,26,1,0,0,114,192,0,0,0,114,33,1,0,0,114,
47,1,0,0,114,55,1,0,0,114,251,0,0,0,114,194,
0,0,0,114,202,0,0,0,114,3,0,0,0,114,56,0,
0,0,114,205,0,0,0,114,21,1,0,0,40,3,0,0,
0,114,84,1,0,0,114,85,1,0,0,116,17,0,0,0,
115,117,112,112,111,114,116,101,100,95,108,111,97,100,101,114,
115,114,4,0,0,0,114,4,0,0,0,114,5,0,0,0,
244,8,0,0,0,95,105,110,115,116,97,108,108,249,6,0,
0,115,16,0,0,0,0,2,13,1,9,1,28,1,16,1,
16,1,15,1,19,1,114,87,1,0,0,40,3,0,0,0,
117,3,0,0,0,119,105,110,114,1,0,0,0,114,2,0,
0,0,40,77,0,0,0,114,58,0,0,0,114,10,0,0,
0,114,11,0,0,0,114,17,0,0,0,114,19,0,0,0,
114,28,0,0,0,114,38,0,0,0,114,43,0,0,0,114,
44,0,0,0,114,45,0,0,0,114,54,0,0,0,114,64,
0,0,0,114,65,0,0,0,244,8,0,0,0,95,95,99,
111,100,101,95,95,114,188,0,0,0,114,67,0,0,0,114,
92,0,0,0,114,81,0,0,0,114,88,0,0,0,114,68,
0,0,0,114,70,0,0,0,114,91,0,0,0,114,96,0,
0,0,114,99,0,0,0,114,102,0,0,0,114,15,0,0,
0,114,181,0,0,0,114,14,0,0,0,114,18,0,0,0,
116,17,0,0,0,95,82,65,87,95,77,65,71,73,67,95,
78,85,77,66,69,82,114,113,0,0,0,114,122,0,0,0,
114,107,0,0,0,114,108,0,0,0,114,120,0,0,0,114,
123,0,0,0,114,131,0,0,0,114,133,0,0,0,114,141,
0,0,0,114,148,0,0,0,114,151,0,0,0,114,159,0,
0,0,114,162,0,0,0,114,165,0,0,0,114,168,0,0,
0,114,176,0,0,0,114,185,0,0,0,114,190,0,0,0,
114,193,0,0,0,114,194,0,0,0,114,202,0,0,0,114,
205,0,0,0,114,218,0,0,0,114,224,0,0,0,114,244,
0,0,0,114,248,0,0,0,114,254,0,0,0,114,4,1,
0,0,114,255,0,0,0,114,5,1,0,0,114,20,1,0,
0,114,21,1,0,0,114,33,1,0,0,114,48,1,0,0,
114,54,1,0,0,114,56,1,0,0,114,59,1,0,0,114,
60,1,0,0,114,63,1,0,0,114,64,1,0,0,114,65,
1,0,0,114,71,1,0,0,114,73,1,0,0,114,215,0,
0,0,114,77,1,0,0,114,86,1,0,0,114,87,1,0,
0,114,4,0,0,0,114,4,0,0,0,114,4,0,0,0,
114,5,0,0,0,244,8,0,0,0,60,109,111,100,117,108,
101,62,8,0,0,0,115,140,0,0,0,6,21,6,3,12,
13,12,10,12,9,12,6,12,12,12,10,12,6,12,7,15,
22,12,8,15,3,12,12,6,2,6,3,22,4,19,68,19,
23,12,19,12,20,12,109,22,1,18,2,6,2,9,2,9,
1,9,2,15,27,12,23,12,21,12,12,18,8,12,13,12,
11,12,55,12,18,12,11,12,11,12,13,21,55,21,12,18,
12,19,57,19,54,19,50,19,34,22,132,19,29,25,43,25,
19,6,3,19,45,19,55,19,18,19,91,19,128,19,13,12,
9,12,17,12,17,6,2,12,50,12,13,18,24,12,34,12,
15,12,11,24,36,12,76,
};

View file

@ -866,7 +866,8 @@ initmain(PyInterpreterState *interp)
* be set if __main__ gets further initialized later in the startup
* process.
*/
if (PyDict_GetItemString(d, "__loader__") == NULL) {
PyObject *loader = PyDict_GetItemString(d, "__loader__");
if (loader == NULL || loader == Py_None) {
PyObject *loader = PyObject_GetAttrString(interp->importlib,
"BuiltinImporter");
if (loader == NULL) {