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3f5b3cdd98 feat: add configurable SMTP HELO hostname (#2146)
* feat: add configurable SMTP HELO hostname

Allow the SMTP HELO/EHLO hostname to be configured separately from
the SMTP server hostname.

This is useful when the SMTP server requires clients to identify
themselves with a fully qualified hostname different from the server
address.

* chore: remove vendored dependency changes

* Bump go-pkgz/notify to v1.4.0 and document SMTP_HELO_HOST

The HELOHost field lands in go-pkgz/notify v1.4.0, so the branch needs the
bump to compile; v1.3.0 in master has no such field. The example module is
tidied alongside, as any change to backend/go.mod requires.

Documents the parameter in the parameters table and, separately, in the email
setup page: what it does, that leaving it unset keeps the previous `localhost`
greeting, and the case it exists for, a relay refusing the greeting under
Postfix `reject_non_fqdn_helo_hostname`.

Also records the current limit: verification emails for email authentication
go through go-pkgz/auth's own sender, which has no equivalent setting, so the
greeting there is unchanged.

* Bump go-pkgz/auth to v2.2.0 and apply SMTP_HELO_HOST to verification email

The verification email sender had no way to set the greeting, so a relay that
refuses the HELO would accept notifications and still reject sign-in emails.
EmailParams gains HELOHost in go-pkgz/auth v2.2.0, so the same SMTP_HELO_HOST
now drives both paths.

The example module is tidied alongside, as any change to backend/go.mod
requires.

---------

Co-authored-by: oli <someone@somewhere.tld>
Co-authored-by: Dmitry Verkhoturov <paskal.07@gmail.com>
2026-08-19 02:52:39 -05:00

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Go

package stats
import "math"
// SEM calculates the standard error of the mean of a slice
// of floats, defined as the sample standard deviation divided
// by the square root of the sample size. This matches the
// behavior of Python's scipy.stats.sem with ddof=1.
func SEM(input Float64Data) (float64, error) {
if input.Len() == 0 {
return math.NaN(), ErrEmptyInput
}
// Input is known to be non-empty so the sample standard
// deviation cannot return an error
sd, _ := StandardDeviationSample(input)
return sd / math.Sqrt(float64(input.Len())), nil
}
// SEM calculates the standard error of the mean of the data
func (f Float64Data) SEM() (float64, error) {
return SEM(f)
}