def print_sizes()

in analytics/duplicates_analyze.py [0:0]

• 26 lines of code
• 11 McCabe index (conditional complexity)

def print_sizes(libname, depth: int = 2) -> None:
    libs = [libname]
    depth = 2
    symbols = {os.path.basename(libname): get_defined_symbols(libname, verbose=True)}
    for _ in range(depth):
        for lib in libs:
            dirname = os.path.dirname(lib)
            for dep in get_deps(lib):
                path = os.path.join(dirname, dep)
                if not os.path.exists(path):
                    continue
                if path not in libs:
                    libs.append(path)
                    symbols[dep] = get_defined_symbols(path, verbose=True)

    for lib in libs:
        lib_symbols = symbols[os.path.basename(lib)]
        lib_keys = set(lib_symbols.keys())
        rc = f"{lib} symbols size {humansize(sum(lib_symbols.values()))}"
        for dep in get_deps(lib):
            if dep not in symbols:
                continue
            dep_overlap = lib_keys.intersection(set(symbols[dep].keys()))
            overlap_size = sum(lib_symbols[k] for k in dep_overlap)
            if overlap_size > 0:
                rc += f" {dep} overlap is {humansize(overlap_size)}"
        print(rc)