Skip to content

docs: fix invalid NaN literal in C examples #14353

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
kgryte merged 3 commits into from
Aug 17, 2026
+2 −2
Merged

docs: fix invalid NaN literal in C examples #14353

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
eb43ce5
chore: add missing `natural` qualifier across `stats/base/dists`
claude Aug 17, 2026
d473791
docs: fix invalid `NaN` literal in C examples in `stats/base/ndarray`
claude Aug 17, 2026
577147e
revert: remove propagated `natural` qualifier edits
claude Aug 17, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/stats/base/ndarray/dnanmeanwd/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -156,7 +156,7 @@ Computes the [arithmetic mean][arithmetic-mean] of a one-dimensional double-prec
#include <stdint.h>

// Create an ndarray:
const double data[] = { 1.0, -2.0, NaN, 2.0 };
const double data[] = { 1.0, -2.0, 0.0/0.0, 2.0 };
int64_t shape[] = { 4 };
int64_t strides[] = { STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT };
int8_t submodes[] = { STDLIB_NDARRAY_INDEX_ERROR };
Expand Down
2 changes: 1 addition & 1 deletion lib/node_modules/@stdlib/stats/base/ndarray/dnanmidrange/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -143,7 +143,7 @@ Computes the [mid-range][mid-range] of a one-dimensional double-precision floati
#include <stdint.h>

// Create an ndarray:
const double data[] = { 1.0, -2.0, NaN, 2.0 };
const double data[] = { 1.0, -2.0, 0.0/0.0, 2.0 };
int64_t shape[] = { 4 };
int64_t strides[] = { STDLIB_NDARRAY_FLOAT64_BYTES_PER_ELEMENT };
int8_t submodes[] = { STDLIB_NDARRAY_INDEX_ERROR };
Expand Down