.--:--. c o d e c h u
/ 12 \ ╔═════════╗
|9 ●---3| meter ║ 00:42.7 ║ ETA 03:18
\ 6 / ╚═════════╝
'-----' ─── tick · tock · tick · tock ───
Stopwatch, rolling-rate, and ETA — time things without lying about them.
codechu-meter
Stdlib-only measurement primitives — stopwatch, rolling-window rate estimator, ETA predictor — extracted from the Disk Cleaner toolchain. Zero dependencies. Python 3.10+.
Install
pip install codechu-meter
API
Stopwatch
from codechu_meter import Stopwatch
with Stopwatch() as sw:
do_work()
print(sw.elapsed) # → float seconds
# Manual form
sw = Stopwatch().start()
do_work()
sw.stop()
print(sw.elapsed)
Formatting is up to you. If you want pretty output, pair with
codechu-fmt:
from codechu_fmt import format_duration
print(format_duration(sw.elapsed)) # → '1m 30s'
RateEstimator
from codechu_meter import RateEstimator
re = RateEstimator(window_seconds=1.0, unit="bytes")
for chunk in stream:
re.observe(len(chunk))
print(re.rate()) # float per-second
unit is just an attribute — it never affects the numeric rate().
Use it as a label when formatting:
from codechu_fmt import format_rate
print(format_rate(re.rate(), unit=re.unit)) # → '1.2 MB/s'
ETAEstimator
from codechu_meter import ETAEstimator
eta = ETAEstimator(total=1000, mode="ema", alpha=0.3)
for current in progress:
eta.update(current)
remaining = eta.eta() # float seconds or None
mode='linear' (default) uses overall throughput since
construction. mode='ema' blends an exponential moving average
of recent throughput for smoother numbers on bursty workloads.
The alpha parameter (default 0.3) controls EMA reactivity:
higher values weight recent samples more heavily.
eta() returns None until at least two updates with measurable
elapsed time and positive progress.
Counter (v0.3.0+)
Thread-safe int counter. inc / dec / reset / .value are all
guarded by a threading.Lock.
from codechu_meter import Counter
inflight = Counter()
inflight.inc()
try:
serve(req)
finally:
inflight.dec()
print(inflight.value)
Histogram (v0.3.0+)
Bucketed distribution counter. Upper edges are inclusive; values
above the largest edge fall into a math.inf overflow bucket.
Thread-safe.
from codechu_meter import Histogram
hist = Histogram([0.01, 0.05, 0.1, 0.5, 1.0])
for r in requests:
hist.observe(r.latency_seconds)
print(hist.counts, hist.total)
PercentileEstimator (v0.3.0+)
Streaming p50 / p95 / p99 via Vitter's reservoir sampling
(max_samples capped). Pure stdlib — no numpy. Thread-safe.
from codechu_meter import PercentileEstimator
pe = PercentileEstimator(max_samples=5_000)
for r in requests:
pe.observe(r.latency_seconds)
print(pe.p50, pe.p95, pe.p99)
Stopwatch named sections (v0.3.0+)
Stopwatch.section(name) accumulates sub-timings into
Stopwatch.sections. Same name re-entered → values add. Not
thread-safe; use one Stopwatch per thread.
sw = Stopwatch().start()
with sw.section("parse"):
parse(buf)
with sw.section("emit"):
emit(result)
sw.stop()
print(sw.sections) # → {"parse": 0.012, "emit": 0.004}
Design
- Zero dependencies. Stdlib only.
- Monotonic clock. Wall-clock jumps don't break timing.
- No formatting coupling. Numeric primitives only; pair with
codechu-fmt(or roll your own) for display strings. - Defensive. Zero progress, zero elapsed, NaN, and negative rates never raise.
Migrating from 0.1.x
__str__ methods were removed in 0.2.0. Replace print(sw) /
str(re) / str(eta) with explicit calls:
# Before (0.1.x)
print(sw)
print(re)
print(eta)
# After (0.2.x)
from codechu_fmt import format_duration, format_rate
print(format_duration(sw.elapsed))
print(format_rate(re.rate(), unit=re.unit))
v = eta.eta()
print(format_duration(v) if v is not None else "?")
Tests
pip install -e ".[dev]"
pytest -q
Coverage gate: ≥90 %. Tests drive time via monkeypatching
time.monotonic for deterministic assertions.
Documentation
- API reference — every public symbol, parameter, return value, and exception.
- Migration guide — 0.1.x → 0.2.0 (breaking
__str__removal, newalphaparameter, droppedcodechu-fmtdependency). - Recipes — patterns for timing blocks, tracking
download speed, computing ETA, tuning EMA
alpha, and pairing withcodechu-fmt.
License
MIT — see LICENSE.
Metadata
Release files for codechu-meter 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
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| File | Size | Uploaded | |
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| codechu_meter-0.3.0.tar.gz | 15.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| codechu_meter-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 27.2 kB
Release files / codechu_meter-0.3.0.tar.gz
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