Monte Carlo Benchmarking Engine
High-performance SIMD Monte Carlo engine (AVX2/NEON) with custom memory allocators and perf logging.
 
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pipeline.combine_batch_parquets Namespace Reference

Variables

 batch_dir = Path(sys.argv[1])
 
 output_path = Path(sys.argv[2])
 
 global_db_path = Path(DB_PATH)
 
list files = [f for f in batch_dir.glob("perf_results_*.parquet") if f.name != output_path.name]
 
 merged = pl.concat([pl.read_parquet(f) for f in files], how="vertical_relaxed").sort("Timestamp")
 
 compression
 
 db = pl.read_parquet(global_db_path)
 

Variable Documentation

◆ batch_dir

pipeline.combine_batch_parquets.batch_dir = Path(sys.argv[1])

Definition at line 47 of file combine_batch_parquets.py.

◆ compression

pipeline.combine_batch_parquets.compression

Definition at line 58 of file combine_batch_parquets.py.

◆ db

pipeline.combine_batch_parquets.db = pl.read_parquet(global_db_path)

Definition at line 64 of file combine_batch_parquets.py.

◆ files

list pipeline.combine_batch_parquets.files = [f for f in batch_dir.glob("perf_results_*.parquet") if f.name != output_path.name]

Definition at line 52 of file combine_batch_parquets.py.

◆ global_db_path

pipeline.combine_batch_parquets.global_db_path = Path(DB_PATH)

Definition at line 49 of file combine_batch_parquets.py.

◆ merged

pipeline.combine_batch_parquets.merged = pl.concat([pl.read_parquet(f) for f in files], how="vertical_relaxed").sort("Timestamp")

Definition at line 57 of file combine_batch_parquets.py.

◆ output_path

pipeline.combine_batch_parquets.output_path = Path(sys.argv[2])

Definition at line 48 of file combine_batch_parquets.py.