Files
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

58 lines
1.4 KiB
Go

package stats
import "sort"
// Histogram calculates the histogram of a slice using the given
// number of equal-width bins over [min, max], returning the count
// of values in each bin along with the bins+1 bin edges. Each bin
// is half-open [edges[i], edges[i+1]) except the last, which also
// includes the maximum value.
func Histogram(input Float64Data, bins int) ([]int, []float64, error) {
if input.Len() == 0 {
return nil, nil, ErrEmptyInput
}
if bins < 1 {
return nil, nil, ErrBounds
}
// Disregard errors, since input is not empty
min, _ := Min(input)
max, _ := Max(input)
// Expand the range by 0.5 on each side like
// numpy when all of the values are equal
if min == max {
min -= 0.5
max += 0.5
}
// Build bins+1 equal-width bin edges from min to max
width := (max - min) / float64(bins)
edges := make([]float64, bins+1)
for i := range edges {
edges[i] = min + width*float64(i)
}
edges[bins] = max
// Count each value into the last bin whose left
// edge does not exceed it, so the maximum value
// lands in the final closed bin
counts := make([]int, bins)
for _, v := range input {
i := sort.Search(len(edges), func(i int) bool { return edges[i] > v }) - 1
if i == bins {
i--
}
counts[i]++
}
return counts, edges, nil
}
// Histogram returns the counts and equal-width bin edges of the data
func (f Float64Data) Histogram(bins int) ([]int, []float64, error) {
return Histogram(f, bins)
}