Add ANN search support for vec0 virtual table

Add approximate nearest neighbor infrastructure to vec0: shared distance
dispatch (vec0_distance_full), flat index type with parser, NEON-optimized
cosine/Hamming for float32/int8, amalgamation script, and benchmark suite
(benchmarks-ann/) with ground-truth generation and profiling tools. Remove
unused vec_npy_each/vec_static_blobs code, fix missing stdint.h include.

bindings/python/extra_init.py

@@ -1,6 +1,5 @@
 from typing import List
 from struct import pack
-from sqlite3 import Connection
 
 
 def serialize_float32(vector: List[float]) -> bytes:
@@ -13,33 +12,3 @@ def serialize_int8(vector: List[int]) -> bytes:
     return pack("%sb" % len(vector), *vector)
 
 
-try:
-    import numpy.typing as npt
-
-    def register_numpy(db: Connection, name: str, array: npt.NDArray):
-        """ayoo"""
-
-        ptr = array.__array_interface__["data"][0]
-        nvectors, dimensions = array.__array_interface__["shape"]
-        element_type = array.__array_interface__["typestr"]
-
-        assert element_type == "<f4"
-
-        name_escaped = db.execute("select printf('%w', ?)", [name]).fetchone()[0]
-
-        db.execute(
-            """
-              insert into temp.vec_static_blobs(name, data)
-              select ?, vec_static_blob_from_raw(?, ?, ?, ?)
-            """,
-            [name, ptr, element_type, dimensions, nvectors],
-        )
-
-        db.execute(
-            f'create virtual table "{name_escaped}" using vec_static_blob_entries({name_escaped})'
-        )
-
-except ImportError:
-
-    def register_numpy(db: Connection, name: str, array):
-        raise Exception("numpy package is required for register_numpy")