import libcachesim as lcs # Step 1: Open a trace hosted on S3 (find more via https://github.com/cacheMon/cache_dataset) URI = "s3://cache-datasets/cache_dataset_oracleGeneral/2007_msr/msr_hm_0.oracleGeneral.zst" reader = lcs.TraceReader( trace=URI, trace_type=lcs.TraceType.ORACLE_GENERAL_TRACE, reader_init_params=lcs.ReaderInitParam(ignore_obj_size=False), ) # Step 2: Initialize cache cache = lcs.S3FIFO( cache_size=1024 * 1024, # Cache specific parameters small_size_ratio=0.2, ghost_size_ratio=0.8, move_to_main_threshold=2, ) # Step 3: Process entire trace efficiently (C++ backend) req_miss_ratio, byte_miss_ratio = cache.process_trace(reader) print(f"Request miss ratio: {req_miss_ratio:.4f}, Byte miss ratio: {byte_miss_ratio:.4f}") # Step 3.1: Process the first 1000 requests cache = lcs.S3FIFO( cache_size=1024 * 1024, # Cache specific parameters small_size_ratio=0.2, ghost_size_ratio=0.8, move_to_main_threshold=2, ) req_miss_ratio, byte_miss_ratio = cache.process_trace(reader, start_req=0, max_req=1000) print(f"Request miss ratio: {req_miss_ratio:.4f}, Byte miss ratio: {byte_miss_ratio:.4f}")