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authorSimon Gibbons <simongibbons@gmail.com>2018-02-18 16:19:38 +0000
committerSimon Gibbons <simongibbons@gmail.com>2018-02-18 16:19:38 +0000
commit79697ad84fa73b49cca2b6380a74a0bfce4b32bc (patch)
treef49e94250f8d3de2309d4f24d437558905b20978 /numpy/core/src
parent4105af42c38539e8bf854c49134fe221d86ec79d (diff)
downloadnumpy-79697ad84fa73b49cca2b6380a74a0bfce4b32bc.tar.gz
BUG: Correctly identify comma seperated dtype strings
When parsing dtype strings, we should only consider them to be comma seperated if there are commas not present in a pair of square brackets. Whilst we had a check for this already in the code there was an off by 1 bug where we failed to consider the first character of the string. This would lead to an infinite recursion when trying to parse strings of the form `[i8,f8]`. Fixes: #10440
Diffstat (limited to 'numpy/core/src')
-rw-r--r--numpy/core/src/multiarray/descriptor.c2
1 files changed, 1 insertions, 1 deletions
diff --git a/numpy/core/src/multiarray/descriptor.c b/numpy/core/src/multiarray/descriptor.c
index 897155238..b4a0ce37d 100644
--- a/numpy/core/src/multiarray/descriptor.c
+++ b/numpy/core/src/multiarray/descriptor.c
@@ -198,7 +198,7 @@ _check_for_commastring(char *type, Py_ssize_t len)
* allows commas inside of [], for parameterized dtypes to use.
*/
sqbracket = 0;
- for (i = 1; i < len; i++) {
+ for (i = 0; i < len; i++) {
switch (type[i]) {
case ',':
if (sqbracket == 0) {