leerho opened a new pull request, #72:
URL: https://github.com/apache/datasketches-python/pull/72

   Moves the bundled C++ library from 5.2.0 to 5.3.0 (`GIT_TAG` in 
`CMakeLists.txt`).
   
   C++ 5.3.0 fixes five vulnerabilities in sketch deserialization 
(CVE-2026-103501, CVE-2026-103513, CVE-2026-103634, CVE-2026-103635, 
CVE-2026-103636; see 
https://datasketches.apache.org/docs/Community/Security.html). The Python 
package compiles that C++ code in, so current datasketches-python releases are 
affected until a release built on 5.3.0 ships.
   
   ### Binding changes required by 5.3.0
   
   Two C++ member functions gained a defaulted parameter. Default arguments are 
not part of a member-function pointer, so the bindings that take their address 
broke:
   
   - `update_theta_sketch::compact(ordered, trim)` 
(apache/datasketches-cpp#524): the build failed with nanobind's "number of 
nb::arg annotations must match the argument count" assertion. The binding now 
exposes `compact(ordered=True, trim=False)`; `trim=True` returns at most k 
entries.
   - `hll_sketch::reset(full_size)` (apache/datasketches-cpp#521): this 
compiled, but `reset()` with no argument raised a `TypeError`. The binding now 
exposes `reset(full_size=False)`.
   
   ### Also
   
   - Binds the new `frequent_items_sketch::reset()` 
(apache/datasketches-cpp#529) for both frequent items sketch types.
   - Adds tests for `compact(trim=True)`, `reset(full_size=True)` and the 
frequent items `reset()`.
   
   Built locally on macOS with Python 3.12; all 37 tests pass.
   
   🤖 Generated with [Claude Code](https://claude.com/claude-code)


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