mm/tools/get_actor_sizes.py
Derek Hensley 471d86f530
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2024-04-06 11:07:58 -07:00

200 lines
6.4 KiB
Python
Executable File

#!/usr/bin/env python3
import argparse, math, os, re
script_dir = os.path.dirname(os.path.realpath(__file__))
root_dir = script_dir + "/../"
asm_dir = root_dir + "asm/non_matchings/overlays/actors"
build_dir = root_dir + "build/n64-us/src/overlays/actors"
def get_num_instructions(f_path):
with open(f_path) as f:
f_lines = f.readlines()
sum = 0
for line in f_lines:
if line.startswith("/* "):
sum += 1
return sum
def count_non_matching():
overlays = {}
for root, dirs, _ in os.walk(asm_dir):
for actor_dir in dirs:
total_size = 0
max_size = -1
ovl_path = os.path.join(root, actor_dir)
num_files = 0
actor_funcs = {}
for f_name in os.listdir(ovl_path):
file_path = os.path.join(ovl_path, f_name)
file_size = get_num_instructions(file_path)
num_files += 1
total_size += file_size
if file_size > max_size:
max_size = file_size
actor_funcs[f_name] = file_size
overlays[actor_dir] = {
"summary": (num_files, max_size, total_size,
total_size / num_files),
"funcs": actor_funcs
}
return overlays
pattern_function = re.compile("^[0-9a-fA-F]+ <(.+)>:")
pattern_switchcase = re.compile("L[0-9a-fA-F]{8}")
def count_builded_funcs_and_instructions(f_path):
f_lines = ""
with open(f_path) as f:
f_lines = f.readlines()
current = ""
funcs = {}
for line in f_lines:
if line.strip() == "":
continue
match_function = pattern_function.match(line)
if match_function:
func_name = match_function.group(1)
if pattern_switchcase.match(func_name):
# this is not a real function tag.
# probably a case from a switch
# for example: <L80979A80>
continue
current = func_name
funcs[current] = 0
elif current != "":
funcs[current] += 1
return funcs
def count_build():
overlays = {}
for root, dirs, _ in os.walk(build_dir):
for actor_dir in dirs:
total_size = 0
max_size = -1
ovl_path = os.path.join(root, actor_dir)
num_files = 0
actor_funcs = {}
for f_name in os.listdir(ovl_path):
if not f_name.endswith(".s"):
continue
if f_name.endswith("_reloc.s"):
continue
file_path = os.path.join(ovl_path, f_name)
funcs = count_builded_funcs_and_instructions(file_path)
if len(funcs) > 0:
num_files += len(funcs)
# round up the file size to a multiple of four.
total_size += math.ceil(sum(funcs.values())/4)*4
max_size = max(max_size, max(funcs.values()))
# merges both dictionaries
actor_funcs = {**actor_funcs, **funcs}
overlays[actor_dir] = {
"summary": (num_files, max_size, total_size,
total_size / num_files),
"funcs": actor_funcs
}
return overlays
def get_list_from_file(filename):
actor_list = []
if filename is not None:
with open(filename) as f:
actor_list = list(map(lambda x: x.strip().split(",")[0], f.readlines()))
return actor_list
def print_csv(overlays, ignored, include_only):
sorted_actors = [(k, v["summary"]) for k, v in overlays.items()]
sorted_actors.sort()
row = "{},{},{},{},{}"
print(row.format("Overlay", "Num files", "Max size", "Total size", "Average size"))
for actor_data in sorted_actors:
name = actor_data[0]
other = actor_data[1]
if name in ignored:
continue
if include_only and name not in include_only:
continue
print(row.format(name, *other))
def print_function_lines(overlays, ignored, include_only):
sorted_actors = []
for k, v in overlays.items():
func_data = []
for func_name, lines in v["funcs"].items():
func_data.append((func_name, lines))
#func_data.sort(key=lambda x: x[1], reverse=True)
sorted_actors.append((k, func_data))
sorted_actors.sort()
row = "{},{},{}"
print(row.format("actor_name", "function_name", "lines"))
for actor_data in sorted_actors:
name = actor_data[0]
func_data = actor_data[1]
if name in ignored:
continue
if include_only and name not in include_only:
continue
for func_name, lines in func_data:
print(row.format(name, func_name, lines))
def main():
description = "Collects actor's functions sizes, and print them in csv format."
epilog = """\
To make a .csv with the data, simply redirect the output. For example:
./tools/get_actor_sizes.py > results.csv
Flags can be mixed to produce a customized result:
./tools/get_actor_sizes.py --function-lines --non-matching > status.csv
./tools/get_actor_sizes.py --non-matching --ignore pull_request.csv > non_matching.csv
./tools/get_actor_sizes.py --non-matching --function-lines --include-only my_reserved.csv > my_status.csv
"""
parser = argparse.ArgumentParser(description=description, epilog=epilog, formatter_class=argparse.RawTextHelpFormatter)
parser.add_argument("--non-matching", help="Collect data of the non-matching actors instead.", action="store_true")
parser.add_argument("--function-lines", help="Prints the size of every function instead of a summary.", action="store_true")
parser.add_argument("--ignore", help="Path to a file containing actor's names. The data of actors in this list will be ignored.")
parser.add_argument("--include-only", help="Path to a file containing actor's names. Only data of actors in this list will be printed.")
args = parser.parse_args()
if args.non_matching:
overlays = count_non_matching()
else:
overlays = count_build()
ignored = get_list_from_file(args.ignore)
include_only = get_list_from_file(args.include_only)
if args.function_lines:
print_function_lines(overlays, ignored, include_only)
else:
print_csv(overlays, ignored, include_only)
main()