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author | Eric Snow <ericsnowcurrently@gmail.com> | 2023-07-27 13:56:59 -0600 |
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committer | GitHub <noreply@github.com> | 2023-07-27 13:56:59 -0600 |
commit | b72947a8d26915156323ccfd04d273199ecb870c (patch) | |
tree | ede8eba6e7824886303d482e746bbb92ea09e172 /Python/hashtable.c | |
parent | 4f67921ad28194155e3d4c16255fb140a6a4d89a (diff) | |
download | cpython-b72947a8d26915156323ccfd04d273199ecb870c.tar.gz cpython-b72947a8d26915156323ccfd04d273199ecb870c.zip |
gh-106931: Intern Statically Allocated Strings Globally (gh-107272)
We tried this before with a dict and for all interned strings. That ran into problems due to interpreter isolation. However, exclusively using a per-interpreter cache caused some inconsistency that can eliminate the benefit of interning. Here we circle back to using a global cache, but only for statically allocated strings. We also use a more-basic _Py_hashtable_t for that global cache instead of a dict.
Ideally we would only have the global cache, but the optional isolation of each interpreter's allocator means that a non-static string object must not outlive its interpreter. Thus we would have to store a copy of each such interned string in the global cache, tied to the main interpreter.
Diffstat (limited to 'Python/hashtable.c')
-rw-r--r-- | Python/hashtable.c | 7 |
1 files changed, 7 insertions, 0 deletions
diff --git a/Python/hashtable.c b/Python/hashtable.c index 0f07cd20b1a..4e22a1a5509 100644 --- a/Python/hashtable.c +++ b/Python/hashtable.c @@ -129,6 +129,13 @@ _Py_hashtable_size(const _Py_hashtable_t *ht) } +size_t +_Py_hashtable_len(const _Py_hashtable_t *ht) +{ + return ht->nentries; +} + + _Py_hashtable_entry_t * _Py_hashtable_get_entry_generic(_Py_hashtable_t *ht, const void *key) { |