prjxray/fuzzers/007-timing/csv_flat2group.py

72 lines
2.6 KiB
Python

#!/usr/bin/env python3
# https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.optimize.linprog.html
from scipy.optimize import linprog
from timfuz import Benchmark, Ar_di2np, Ar_ds2t, A_di2ds, A_ds2di, simplify_rows, loadc_Ads_b, index_names, A_ds2np, load_sub, run_sub_json, A_ub_np2d, print_eqns, print_eqns_np, Ads2bounds, loadc_Ads_raw, instances
from timfuz_massage import massage_equations
import numpy as np
import glob
import json
import math
from collections import OrderedDict
from fractions import Fraction
import sys
import datetime
import os
import time
def gen_group(fnin, sub_json, strict=False, verbose=False):
print('Loading data')
# FIXME: preserve corners
Ads, b = loadc_Ads_b([fnin], corner=None, ico=True)
print('Sub: %u rows' % len(Ads))
iold = instances(Ads)
names_old = index_names(Ads)
run_sub_json(Ads, sub_json, strict=strict, verbose=verbose)
names = index_names(Ads)
print("Sub: %u => %u names" % (len(names_old), len(names)))
print('Sub: %u => %u instances' % (iold, instances(Ads)))
for row_ds, row_b in zip(Ads, b):
yield row_ds, [row_b for _ in range(4)]
def run(fnin, fnout, sub_json, corner=None, strict=False, verbose=False):
with open(fnout, 'w') as fout:
fout.write('ico,fast_max fast_min slow_max slow_min,rows...\n')
for row_ds, row_bs in gen_group(fnin, sub_json, strict=strict):
row_ico = 1
items = [str(row_ico), ' '.join([str(x) for x in row_bs])]
for k, v in sorted(row_ds.items()):
items.append('%u %s' % (v, k))
fout.write(','.join(items) + '\n')
def main():
import argparse
parser = argparse.ArgumentParser(
description=
'Solve timing solution'
)
parser.add_argument('--verbose', action='store_true', help='')
parser.add_argument('--massage', action='store_true', help='')
parser.add_argument('--strict', action='store_true', help='')
parser.add_argument('--sub-csv', help='')
parser.add_argument('--sub-json', required=True, help='Group substitutions to make fully ranked')
parser.add_argument('fnin', default=None, help='input timing delay .csv')
parser.add_argument('fnout', default=None, help='output timing delay .csv')
args = parser.parse_args()
# Store options in dict to ease passing through functions
bench = Benchmark()
sub_json = load_sub(args.sub_json)
try:
run(args.fnin, args.fnout, sub_json=sub_json, strict=args.strict, verbose=args.verbose)
finally:
print('Exiting after %s' % bench)
if __name__ == '__main__':
main()