Python3x (Native Ctypes)

Splinter abhors unnecessary data duplication. It's actually a really good GIL-bypass for vector data. Because Splinter uses mmap() to act as a passive substrate, Python can use its built-in ctypes library to cast a Splinter slot directly into a NumPy array or a native Python memory view:

import ctypes
import os

# load the shared library
lib_path = os.path.abspath("./libsplinter.so")
splinter = ctypes.CDLL(lib_path)

# define argument and return types for the FFI boundary
splinter.splinter_open.argtypes = [ctypes.c_char_p]
splinter.splinter_open.restype = ctypes.c_int

splinter.splinter_set.argtypes = [ctypes.c_char_p, ctypes.c_void_p, ctypes.c_size_t]
splinter.splinter_set.restype = ctypes.c_int

# splinter_get_raw_ptr(const char *key, size_t *out_sz, uint64_t *out_epoch)
splinter.splinter_get_raw_ptr.argtypes = [
    ctypes.c_char_p, 
    ctypes.POINTER(ctypes.c_size_t), 
    ctypes.POINTER(ctypes.c_uint64)
]
splinter.splinter_get_raw_ptr.restype = ctypes.c_void_p

class SplinterBus:
    def __init__(self, bus_name: str):
        if splinter.splinter_open(bus_name.encode('utf-8')) != 0:
            raise RuntimeError(f"Failed to connect to Splinter bus: {bus_name}")

    def set_string(self, key: str, value: str):
        data = value.encode('utf-8')
        splinter.splinter_set(key.encode('utf-8'), data, len(data))

    def get_embeddings_zero_copy(self, key: str, dimensions=768):
        """
        Reads 768 floats directly from the L3 cache without copying bytes!
        """
        out_sz = ctypes.c_size_t(0)
        out_epoch = ctypes.c_uint64(0)
        
        # get the raw memory pointer from the Splinter manifold
        raw_ptr = splinter.splinter_get_raw_ptr(
            key.encode('utf-8'), 
            ctypes.byref(out_sz), 
            ctypes.byref(out_epoch)
        )
        
        if not raw_ptr:
            return None
            
        # cast the raw memory address directly into a Python Float Array.
        # this is true zero-copy. If the C daemon updates the slot, 
        # this array updates instantly because it points to the same RAM.
        FloatArrayType = ctypes.c_float * dimensions
        return ctypes.cast(raw_ptr, ctypes.POINTER(FloatArrayType)).contents

# Usage:
# bus = SplinterBus("nomic_text")
# vec = bus.get_embeddings_zero_copy("npc_dialogue_vector")
# print(f"Vector Head: {vec[0]}, {vec[1]}, {vec[2]}")

In fact, slow Python scrapers can trickle data in while the very tiny splinference Nomic Text inference engine (included) deposits vectors silently (no memcpy() in the background either) as it chugs along.

Information Physics (from social data) is often done this way (GDELT, RSS, Etc) and Splinter was written specifically to handle that.