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Fix memory access out of bounds in numpy + chrome 89 #1474

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merged 23 commits into from
Apr 17, 2021
Merged

Fix memory access out of bounds in numpy + chrome 89 #1474

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8fb7a70
Another numpy patch
Apr 15, 2021
f5ba767
Fix compile error
Apr 15, 2021
3b50bd9
Another try at patching PyArray_Broadcast
Apr 15, 2021
9c50394
Try again with correct type for it_ptr
Apr 15, 2021
2426e95
Add missing semicolon
Apr 15, 2021
3267a8e
Attempt 3
Apr 15, 2021
8d15840
Forgot some semicolons
Apr 15, 2021
e422021
Fix memory proxy macros / functions
Apr 15, 2021
0e30a22
Yet aanother attempt
Apr 16, 2021
cb8c23e
Fix ReferenceError
Apr 16, 2021
d7caf6c
Fix reference errors
Apr 16, 2021
215112f
Okay I think this works now?
Apr 16, 2021
9797c1d
Define PyArray_Broadcast_part1 when not compiling with __EMSCRIPTEN__
Apr 16, 2021
e5fbf97
Fix compile errors
Apr 16, 2021
e0ba4be
Fix native build error
Apr 16, 2021
f29f041
Cleanup
Apr 16, 2021
0cae03c
Finish cleanup
Apr 16, 2021
3ceb249
Update comment
Apr 16, 2021
0b9b738
Remove old patch
Apr 16, 2021
24e8698
Fix commented original function
Apr 16, 2021
1f9727c
Tiny cleanup of patch
Apr 16, 2021
630cd04
Fix patch
Apr 16, 2021
c26d66f
Fix ReferenceError
Apr 16, 2021
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  • Loading branch information
Hood committed Apr 16, 2021
commit 3ceb249ac84335e4267cc844993e3382b947b928
62 changes: 32 additions & 30 deletions src/core/numpy_patch.c
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Original file line number Diff line number Diff line change
Expand Up @@ -226,38 +226,40 @@ PyArray_Broadcast(PyArrayMultiIterObject *mit)
PyArrayIterObject *it;
PyArrayIterObject **it_ptr;

nd = PyArray_Broadcast_GetNd(mit);
mit->nd = nd;
/* Discover the broadcast number of dimensions */
for (i = 0, nd = 0; i < mit->numiter; i++) {
nd = PyArray_MAX(nd, PyArray_NDIM(mit->iters[i]->ao));
}
mit->nd = nd;

/ * Discover the broadcast shape in each dimension * /
for (i = 0; i < nd; i++) {
mit->dimensions[i] = 1;
}
/ *Discover the broadcast shape in each dimension* / for (i = 0; i < nd; i++)
{
mit->dimensions[i] = 1;
}

for (j = 0; j < mit->numiter; j++) {
it = mit->iters[j];
for (i = 0; i < nd; i++) {
/ * This prepends 1 to shapes not already equal to nd * /
k = i + PyArray_NDIM(it->ao) - nd;
if (k >= 0) {
tmp = PyArray_DIMS(it->ao)[k];
if (tmp == 1) {
continue;
}
if (mit->dimensions[i] == 1) {
mit->dimensions[i] = tmp;
}
else if (mit->dimensions[i] != tmp) {
PyErr_SetString(PyExc_ValueError,
"shape mismatch: objects" \
" cannot be broadcast" \
" to a single shape");
return -1;
}
}
}
for (j = 0; j < mit->numiter; j++) {
it = mit->iters[j];
for (i = 0; i < nd; i++) {
/ * This prepends 1 to shapes not already equal to nd* / k =
i + PyArray_NDIM(it->ao) - nd;
if (k >= 0) {
tmp = PyArray_DIMS(it->ao)[k];
if (tmp == 1) {
continue;
}
if (mit->dimensions[i] == 1) {
mit->dimensions[i] = tmp;
} else if (mit->dimensions[i] != tmp) {
PyErr_SetString(PyExc_ValueError,
"shape mismatch: objects"
" cannot be broadcast"
" to a single shape");
return -1;
}
}
}
}

// Rest of function skipped
// Rest of function skipped
}
*/
* /