diff options
Diffstat (limited to 'v_windows/v/old/cmd/tools/repeat.v')
| -rw-r--r-- | v_windows/v/old/cmd/tools/repeat.v | 374 |
1 files changed, 374 insertions, 0 deletions
diff --git a/v_windows/v/old/cmd/tools/repeat.v b/v_windows/v/old/cmd/tools/repeat.v new file mode 100644 index 0000000..e69cfdf --- /dev/null +++ b/v_windows/v/old/cmd/tools/repeat.v @@ -0,0 +1,374 @@ +module main + +import os +import flag +import time +import term +import math +import scripting + +struct CmdResult { +mut: + runs int + cmd string + icmd int + outputs []string + oms map[string][]int + summary map[string]Aints + timings []int + atiming Aints +} + +struct Context { +mut: + count int + series int + warmup int + show_help bool + show_output bool + use_newline bool // use \n instead of \r, so the last line is not overwritten + fail_on_regress_percent int + fail_on_maxtime int // in ms + verbose bool + commands []string + results []CmdResult + cmd_template string // {T} will be substituted with the current command + cmd_params map[string][]string + cline string // a terminal clearing line + cgoback string + nmins int // number of minimums to discard + nmaxs int // number of maximums to discard +} + +[unsafe] +fn (mut result CmdResult) free() { + unsafe { + result.cmd.free() + result.outputs.free() + result.oms.free() + result.summary.free() + result.timings.free() + result.atiming.free() + } +} + +[unsafe] +fn (mut context Context) free() { + unsafe { + context.commands.free() + context.results.free() + context.cmd_template.free() + context.cmd_params.free() + context.cline.free() + context.cgoback.free() + } +} + +struct Aints { + values []int +mut: + imin int + imax int + average f64 + stddev f64 + nmins int // number of discarded fastest results + nmaxs int // number of discarded slowest results +} + +[unsafe] +fn (mut a Aints) free() { + unsafe { a.values.free() } +} + +fn new_aints(ovals []int, extreme_mins int, extreme_maxs int) Aints { + mut res := Aints{ + values: ovals // remember the original values + nmins: extreme_mins + nmaxs: extreme_maxs + } + mut sum := i64(0) + mut imin := math.max_i32 + mut imax := -math.max_i32 + // discard the extremes: + mut vals := []int{} + for x in ovals { + vals << x + } + vals.sort() + if vals.len > extreme_mins + extreme_maxs { + vals = vals[extreme_mins..vals.len - extreme_maxs].clone() + } else { + vals = [] + } + // statistical processing of the remaining values: + for i in vals { + sum += i + if i < imin { + imin = i + } + if i > imax { + imax = i + } + } + res.imin = imin + res.imax = imax + if vals.len > 0 { + res.average = sum / f64(vals.len) + } + // + mut devsum := f64(0.0) + for i in vals { + x := f64(i) - res.average + devsum += (x * x) + } + res.stddev = math.sqrt(devsum / f64(vals.len)) + // eprintln('\novals: $ovals\n vals: $vals\n vals.len: $vals.len | res.imin: $res.imin | res.imax: $res.imax | res.average: $res.average | res.stddev: $res.stddev') + return res +} + +fn bold(s string) string { + return term.colorize(term.bold, s) +} + +fn (a Aints) str() string { + return bold('${a.average:6.2f}') + + 'ms ± σ: ${a.stddev:4.1f}ms, min: ${a.imin:4}ms, max: ${a.imax:4}ms, runs:${a.values.len:3}, nmins:${a.nmins:2}, nmaxs:${a.nmaxs:2}' +} + +const ( + max_fail_percent = 100 * 1000 + max_time = 60 * 1000 // ms + performance_regression_label = 'Performance regression detected, failing since ' +) + +fn main() { + mut context := Context{} + context.parse_options() + context.run() + context.show_diff_summary() +} + +fn (mut context Context) parse_options() { + mut fp := flag.new_flag_parser(os.args) + fp.application(os.file_name(os.executable())) + fp.version('0.0.1') + fp.description('Repeat command(s) and collect statistics. NB: you have to quote each command, if it contains spaces.') + fp.arguments_description('CMD1 CMD2 ...') + fp.skip_executable() + fp.limit_free_args_to_at_least(1) + context.count = fp.int('count', `c`, 10, 'Repetition count.') + context.series = fp.int('series', `s`, 2, 'Series count. `-s 2 -c 4 a b` => aaaabbbbaaaabbbb, while `-s 3 -c 2 a b` => aabbaabbaabb.') + context.warmup = fp.int('warmup', `w`, 2, 'Warmup runs. These are done *only at the start*, and are ignored.') + context.show_help = fp.bool('help', `h`, false, 'Show this help screen.') + context.use_newline = fp.bool('newline', `n`, false, 'Use \\n, do not overwrite the last line. Produces more output, but easier to diagnose.') + context.show_output = fp.bool('output', `O`, false, 'Show command stdout/stderr in the progress indicator for each command. NB: slower, for verbose commands.') + context.verbose = fp.bool('verbose', `v`, false, 'Be more verbose.') + context.fail_on_maxtime = fp.int('max_time', `m`, max_time, 'Fail with exit code 2, when first cmd takes above M milliseconds (regression).') + context.fail_on_regress_percent = fp.int('fail_percent', `f`, max_fail_percent, 'Fail with exit code 3, when first cmd is X% slower than the rest (regression).') + context.cmd_template = fp.string('template', `t`, '{T}', 'Command template. {T} will be substituted with the current command.') + cmd_params := fp.string_multi('parameter', `p`, 'A parameter substitution list. `{p}=val1,val2,val2` means that {p} in the template, will be substituted with each of val1, val2, val3.') + context.nmins = fp.int('nmins', `i`, 0, 'Ignore the BOTTOM X results (minimum execution time). Makes the results more robust to performance flukes.') + context.nmaxs = fp.int('nmaxs', `a`, 1, 'Ignore the TOP X results (maximum execution time). Makes the results more robust to performance flukes.') + for p in cmd_params { + parts := p.split(':') + if parts.len > 1 { + context.cmd_params[parts[0]] = parts[1].split(',') + } + } + if context.show_help { + println(fp.usage()) + exit(0) + } + if context.verbose { + scripting.set_verbose(true) + } + commands := fp.finalize() or { + eprintln('Error: $err') + exit(1) + } + context.commands = context.expand_all_commands(commands) + context.results = []CmdResult{len: context.commands.len, cap: 20, init: CmdResult{ + outputs: []string{cap: 500} + timings: []int{cap: 500} + }} + if context.use_newline { + context.cline = '\n' + context.cgoback = '\n' + } else { + context.cline = '\r' + term.h_divider('') + context.cgoback = '\r' + } +} + +fn (mut context Context) clear_line() { + print(context.cline) +} + +fn (mut context Context) expand_all_commands(commands []string) []string { + mut all_commands := []string{} + for cmd in commands { + maincmd := context.cmd_template.replace('{T}', cmd) + mut substituted_commands := []string{} + substituted_commands << maincmd + for paramk, paramlist in context.cmd_params { + for paramv in paramlist { + mut new_substituted_commands := []string{} + for cscmd in substituted_commands { + scmd := cscmd.replace(paramk, paramv) + new_substituted_commands << scmd + } + for sc in new_substituted_commands { + substituted_commands << sc + } + } + } + for sc in substituted_commands { + all_commands << sc + } + } + mut unique := map[string]int{} + for x in all_commands { + if x.contains('{') && x.contains('}') { + continue + } + unique[x] = 1 + } + return unique.keys() +} + +fn (mut context Context) run() { + mut run_warmups := 0 + for si in 1 .. context.series + 1 { + for icmd, cmd in context.commands { + mut runs := 0 + mut duration := 0 + mut sum := 0 + mut oldres := '' + println('Series: ${si:4}/${context.series:-4}, command: $cmd') + if context.warmup > 0 && run_warmups < context.commands.len { + for i in 1 .. context.warmup + 1 { + print('${context.cgoback}warming up run: ${i:4}/${context.warmup:-4} for ${cmd:-50s} took ${duration:6} ms ...') + mut sw := time.new_stopwatch() + res := os.execute(cmd) + if res.exit_code != 0 { + continue + } + duration = int(sw.elapsed().milliseconds()) + } + run_warmups++ + } + context.clear_line() + for i in 1 .. (context.count + 1) { + avg := f64(sum) / f64(i) + print('${context.cgoback}Average: ${avg:9.3f}ms | run: ${i:4}/${context.count:-4} | took ${duration:6} ms') + if context.show_output { + print(' | result: ${oldres:s}') + } + mut sw := time.new_stopwatch() + res := scripting.exec(cmd) or { continue } + duration = int(sw.elapsed().milliseconds()) + if res.exit_code != 0 { + eprintln('${i:10} non 0 exit code for cmd: $cmd') + continue + } + trimed_output := res.output.trim_right('\r\n') + trimed_normalized := trimed_output.replace('\r\n', '\n') + lines := trimed_normalized.split('\n') + for line in lines { + context.results[icmd].outputs << line + } + context.results[icmd].timings << duration + sum += duration + runs++ + oldres = res.output.replace('\n', ' ') + } + context.results[icmd].cmd = cmd + context.results[icmd].icmd = icmd + context.results[icmd].runs += runs + context.results[icmd].atiming = new_aints(context.results[icmd].timings, context.nmins, + context.nmaxs) + context.clear_line() + print(context.cgoback) + mut m := map[string][]int{} + ioutputs := context.results[icmd].outputs + for o in ioutputs { + x := o.split(':') + if x.len > 1 { + k := x[0] + v := x[1].trim_left(' ').int() + m[k] << v + } + } + mut summary := map[string]Aints{} + for k, v in m { + // show a temporary summary for the current series/cmd cycle + s := new_aints(v, context.nmins, context.nmaxs) + println(' $k: $s') + summary[k] = s + } + // merge current raw results to the previous ones + old_oms := context.results[icmd].oms.move() + mut new_oms := map[string][]int{} + for k, v in m { + if old_oms[k].len == 0 { + new_oms[k] = v + } else { + new_oms[k] << old_oms[k] + new_oms[k] << v + } + } + context.results[icmd].oms = new_oms.move() + // println('') + } + } + // create full summaries, taking account of all runs + for icmd in 0 .. context.results.len { + mut new_full_summary := map[string]Aints{} + for k, v in context.results[icmd].oms { + new_full_summary[k] = new_aints(v, context.nmins, context.nmaxs) + } + context.results[icmd].summary = new_full_summary.move() + } +} + +fn (mut context Context) show_diff_summary() { + context.results.sort_with_compare(fn (a &CmdResult, b &CmdResult) int { + if a.atiming.average < b.atiming.average { + return -1 + } + if a.atiming.average > b.atiming.average { + return 1 + } + return 0 + }) + println('Summary (commands are ordered by ascending mean time), after $context.series series of $context.count repetitions:') + base := context.results[0].atiming.average + mut first_cmd_percentage := f64(100.0) + mut first_marker := '' + for i, r in context.results { + first_marker = ' ' + cpercent := (r.atiming.average / base) * 100 - 100 + if r.icmd == 0 { + first_marker = bold('>') + first_cmd_percentage = cpercent + } + println(' $first_marker${(i + 1):3} | ${cpercent:5.1f}% slower | ${r.cmd:-57s} | $r.atiming') + } + $if debugcontext ? { + println('context: $context') + } + if int(base) > context.fail_on_maxtime { + print(performance_regression_label) + println('average time: ${base:6.1f} ms > $context.fail_on_maxtime ms threshold.') + exit(2) + } + if context.fail_on_regress_percent == max_fail_percent || context.results.len < 2 { + return + } + fail_threshold_max := f64(context.fail_on_regress_percent) + if first_cmd_percentage > fail_threshold_max { + print(performance_regression_label) + println('${first_cmd_percentage:5.1f}% > ${fail_threshold_max:5.1f}% threshold.') + exit(3) + } +} |