from timeit import default_timer as timer
from g_ms import logger, solve_case, parse_cases
with open('timing-sample.in') as input:
case_cnt = 1
cases = parse_cases(input)
total_start = timer()
repeat = 20
for i in range(repeat):
with open('log/timing-sample.out', 'a+') as output:
output_line = 'Case #{}: {}\n'.format(case_cnt,
solve_case(cases[0]))
output.write(output_line)
logger.info(output_line.strip())
logger.info('total time: ' + str(timer() - total_start))
logger.info('avg time: ' + str((timer() - total_start) / repeat))
from g_ms import g_quality_calc_cnt, g_find_cnt
logger.info('quality calculations: ' + str(g_quality_calc_cnt))
logger.info('find_all' 's: ' + str(g_find_cnt))
from g_ms import logger, solve_case, parse_cases
with open('A-small-practice.in') as input:
case_cnt = 1
for case in parse_cases(input):
with open('log/A-small-practice.out', 'a+') as output:
output_line = 'Case #{}: {}\n'.format(case_cnt, solve_case(case))
output.write(output_line)
logger.info(output_line.strip())
case_cnt += 1
from timeit import default_timer as timer
from g_ms import logger, solve_case, parse_cases
with open('timing-sample.in') as input:
case_cnt = 1
cases = parse_cases(input)
total_start = timer()
repeat = 20
for i in range(repeat):
with open('log/timing-sample.out', 'a+') as output:
output_line = 'Case #{}: {}\n'.format(case_cnt, solve_case(cases[0]))
output.write(output_line)
logger.info(output_line.strip())
logger.info('total time: ' + str(timer() - total_start))
logger.info('avg time: ' + str((timer() - total_start) / repeat))
from g_ms import g_quality_calc_cnt, g_find_cnt
logger.info('quality calculations: ' + str(g_quality_calc_cnt))
logger.info('find_all''s: ' + str(g_find_cnt))