Idx File [CERTIFIED ★]

# Write data (row-major, native endianness) # Convert to flat bytes in correct order data_array.astype(data_array.dtype, copy=False).tofile(f)

# Write dimensions (big-endian) for dim in data_array.shape: f.write(dim.to_bytes(4, 'big')) idx file

Modern alternatives like , Parquet , and Zarr provide better performance and features for large-scale data. However, IDX’s simplicity ensures it will remain a useful pedagogical tool and a viable choice for constrained environments indefinitely. # Write data (row-major, native endianness) # Convert

if data_type_code not in dtypes: raise ValueError(f"Unsupported data type code: data_type_code") # Write data (row-major