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PERF: (partial) fix for np_datetime.c performance regression #57988

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75 changes: 32 additions & 43 deletions pandas/_libs/src/vendored/numpy/datetime/np_datetime.c
Original file line number Diff line number Diff line change
Expand Up @@ -752,66 +752,56 @@ void pandas_timedelta_to_timedeltastruct(npy_timedelta td,
}

const npy_int64 per_day = sec_per_day * per_sec;
npy_int64 frac;
const int sign = td < 0 ? -1 : 1;
const int is_negative = td < 0 ? 1 : 0;
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You can use bool here - our minimum supported standard is C11

const int uneven_in_seconds = td % per_sec != 0 ? 1 : 0;
// put frac in seconds
if (td < 0 && td % per_sec != 0)
frac = td / per_sec - 1;
else
frac = td / per_sec;

const int sign = frac < 0 ? -1 : 1;
if (frac < 0) {
npy_int64 sfrac = td / per_sec - is_negative * uneven_in_seconds;
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Am I reading this right that it just can add/subtract 1 when uneven_in_seconds is true? I might be missing the point but that feels a bit off - not sure we have full test coverage in all precisions

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Thanks for scratching your head at this. It's a leftover from a different optimisation route that was not successful in the end. I moved the subtraction into the if body again (same as in the main version) so it should be clearer now. Also now the speedup is at where I had it with the previous version that did not pass the tests.

if (sign < 0) {
// even fraction
if ((-frac % sec_per_day) != 0) {
out->days = -frac / sec_per_day + 1;
frac += sec_per_day * out->days;
if ((-sfrac % sec_per_day) != 0) {
out->days = sfrac / sec_per_day - 1;
sfrac -= sec_per_day * out->days;
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Is this exactly the same as before? Previously it looks like out->days would be positive but this is now negative?

Sorry if misreading - again just want to be careful as I'm not sure how well our test cases are hitting all of these branches

} else {
frac = -frac;
if (sfrac <= sec_per_day) {
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This seems to add more branching than what we had before, so I'm a little hesitant to say this is faster overall even though it may show up in some of our benchmarks. What kind of difference are you seeing in the current state?

out->days = sfrac / sec_per_day;
sfrac -= out->days * sec_per_day;
}
sfrac = -sfrac;
}
} else if (sfrac >= sec_per_day) {
out->days = sfrac / sec_per_day;
sfrac -= out->days * sec_per_day;
}

if (frac >= sec_per_day) {
out->days += frac / sec_per_day;
frac -= out->days * sec_per_day;
}

if (frac >= sec_per_hour) {
out->hrs = (npy_int32)(frac / sec_per_hour);
frac -= out->hrs * sec_per_hour;
if (sfrac >= sec_per_hour) {
out->hrs = (npy_int32)(sfrac / sec_per_hour);
sfrac %= sec_per_hour;
}

if (frac >= sec_per_min) {
out->min = (npy_int32)(frac / sec_per_min);
frac -= out->min * sec_per_min;
if (sfrac >= sec_per_min) {
out->min = (npy_int32)(sfrac / sec_per_min);
sfrac %= sec_per_min;
}

if (frac >= 0) {
out->sec = (npy_int32)frac;
frac -= out->sec;
if (sfrac >= 0) {
out->sec = (npy_int32)sfrac;
}

if (sign < 0)
out->days = -out->days;

if (base > NPY_FR_s) {
const npy_int64 sfrac =
(out->hrs * sec_per_hour + out->min * sec_per_min + out->sec) *
per_sec;

npy_int64 ifrac = td - (out->days * per_day + sfrac);
// there will be at most 1 billion nanoseconds left here
npy_int32 ifrac = (npy_int32)((td - out->days * per_day) % per_sec);

if (base == NPY_FR_ms) {
out->ms = (npy_int32)ifrac;
out->ms = ifrac;
} else if (base == NPY_FR_us) {
out->ms = (npy_int32)(ifrac / 1000LL);
ifrac = ifrac % 1000LL;
out->us = (npy_int32)ifrac;
out->ms = ifrac / 1000LL;
out->us = ifrac % 1000LL;
} else if (base == NPY_FR_ns) {
out->ms = (npy_int32)(ifrac / (1000LL * 1000LL));
out->ms = ifrac / (1000LL * 1000LL);
ifrac = ifrac % (1000LL * 1000LL);
out->us = (npy_int32)(ifrac / 1000LL);
ifrac = ifrac % 1000LL;
out->ns = (npy_int32)ifrac;
out->us = ifrac / 1000LL;
out->ns = ifrac % 1000LL;
}
}

Expand All @@ -822,7 +812,6 @@ void pandas_timedelta_to_timedeltastruct(npy_timedelta td,
"invalid base unit");
break;
}

out->seconds =
(npy_int32)(out->hrs * sec_per_hour + out->min * sec_per_min + out->sec);
out->microseconds = out->ms * 1000 + out->us;
Expand Down