Auto-generated commit

Author: stdlib-bot

CHANGELOG.md

@@ -4,7 +4,7 @@
 
 <section class="release" id="unreleased">
 
-## Unreleased (2025-10-05)
+## Unreleased (2025-10-14)
 
 <section class="features">
 
@@ -686,6 +686,7 @@ A total of 67 issues were closed in this release:
 
 <details>
 
+-   [`5e81b1b`](https://github.com/stdlib-js/stdlib/commit/5e81b1b2d7a346174db7b37834685083793e389d) - **chore:** add structured package data for `math/base/special/expit` [(#8209)](https://github.com/stdlib-js/stdlib/pull/8209) _(by Manvith M, Athan Reines, Gunj Joshi)_
 -   [`4792a3c`](https://github.com/stdlib-js/stdlib/commit/4792a3cde7d7425fb1e83f3d7457a46aeba84ce0) - **chore:** fix C lint errors [(#8202)](https://github.com/stdlib-js/stdlib/pull/8202) _(by GeoDaoyu)_
 -   [`4a75f6d`](https://github.com/stdlib-js/stdlib/commit/4a75f6df054e6d718e40a37737938996ddd43006) - **revert:** undo commits adding tests for full code coverage _(by Philipp Burckhardt)_
 -   [`0a65e10`](https://github.com/stdlib-js/stdlib/commit/0a65e10b6161874c950ebc20224a394c59398afc) - **test:** add tests to achieve full coverage in `digamma` _(by Philipp Burckhardt)_
@@ -1656,7 +1657,7 @@ A total of 67 issues were closed in this release:
 
 ### Contributors
 
-A total of 47 people contributed to this release. Thank you to the following contributors:
+A total of 48 people contributed to this release. Thank you to the following contributors:
 
 -   Aayush Khanna
 -   Anmol Sah
@@ -1685,6 +1686,7 @@ A total of 47 people contributed to this release. Thank you to the following con
 -   Krishnam Agarwal
 -   Lalit Narayan Yadav
 -   Lokesh Ranjan
+-   Manvith M
 -   Mihir Pandit
 -   Nakul Krishnakumar
 -   Neeraj Pathak

CONTRIBUTORS

@@ -89,6 +89,7 @@ Jalaj Kumar <[email protected]>
 James Gelok <[email protected]>
 Jay Soni <[email protected]>
 Jaysukh Makvana <[email protected]>
+Jenish <[email protected]>
 Jenish Thapa <[email protected]>
 Jithin KS <[email protected]>
 Joel Mathew Koshy <[email protected]>
@@ -241,4 +242,5 @@ pranav-1720 <[email protected]>
 rahulrangers <[email protected]>
 rainn <[email protected]>
 rei2hu <[email protected]>
+youzi-forge <[email protected]>
 zhanggy <[email protected]>

base/special/expit/package.json

@@ -64,5 +64,84 @@
     "log-odds",
     "sigmoid",
     "special"
-  ]
+  ],
+  "__stdlib__": {
+    "scaffold": {
+      "$schema": "math/[email protected]",
+      "base_alias": "expit",
+      "alias": "expit",
+      "pkg_desc": "evaluate the standard logistic function for a double-precision floating-point number",
+      "desc": "evaluates the standard logistic function for a double-precision floating-point number",
+      "short_desc": "standard logistic function",
+      "parameters": [
+        {
+          "name": "x",
+          "desc": "input value",
+          "type": {
+            "javascript": "number",
+            "jsdoc": "number",
+            "c": "double",
+            "dtype": "float64"
+          },
+          "domain": [
+            {
+              "min": "-infinity",
+              "max": "infinity"
+            }
+          ],
+          "rand": {
+            "prng": "random/base/uniform",
+            "parameters": [
+              -5,
+              5
+            ]
+          },
+          "example_values": [
+            -4.62,
+            3.17,
+            -2.41,
+            1.28,
+            -0.73,
+            2.56,
+            -3.09,
+            0.41,
+            4.12,
+            -1.85,
+            2.93,
+            -4.37,
+            1.67,
+            -0.28,
+            3.74,
+            -2.96,
+            0.83,
+            -1.12,
+            4.89,
+            -3.51
+          ]
+        }
+      ],
+      "output_policy": "real_floating_point_and_generic",
+      "returns": {
+        "desc": "function value",
+        "type": {
+          "javascript": "number",
+          "jsdoc": "number",
+          "c": "double",
+          "dtype": "float64"
+        }
+      },
+      "keywords": [
+        "logit",
+        "inverse",
+        "expit",
+        "logistic",
+        "proportion",
+        "log-odds",
+        "sigmoid"
+      ],
+      "extra_keywords": [
+        "math.exp"
+      ]
+    }
+  }
 }