chore: update links in github issue templates

.github/.OwlBot.lock.yaml

@@ -13,5 +13,5 @@
 # limitations under the License.
 docker:
   image: gcr.io/cloud-devrel-public-resources/owlbot-nodejs:latest
-  digest: sha256:a5af6af827a9fffba373151e1453b0498da288024cdd16477900dd42857a42e0
-# created: 2024-09-20T20:26:11.126243246Z
+  digest: sha256:609822e3c09b7a1bd90b99655904609f162cc15acb4704f1edf778284c36f429
+# created: 2024-10-01T19:34:30.797530443Z

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -24,12 +24,12 @@ body:
             e.js"
           required: true
         - label: "Check our Troubleshooting guide:
-            https://googlecloudplatform.github.io/google-cloud-node/#/docs/guid\
-            es/troubleshooting"
+            https://github.com/googleapis/google-cloud-node/blob/main/docs/trou\
+            bleshooting.md"
           required: true
         - label: "Check our FAQ:
-            https://googlecloudplatform.github.io/google-cloud-node/#/docs/guid\
-            es/faq"
+            https://github.com/googleapis/google-cloud-node/blob/main/docs/faq.\
+            md"
           required: true
         - label: "Check our libraries HOW-TO:
             https://github.com/googleapis/gax-nodejs/blob/main/client-libraries\
@@ -55,9 +55,9 @@ body:
         behavior you are experiencing. If the behavior is the same, it means
         that you are likely experiencing a bug with the API itself. In that
         case, please submit an issue to the API team, either by submitting an
-        issue in its issue tracker https://cloud.google.com/support/docs/issue-trackers, or by
+        issue in its issue tracker (https://cloud.google.com/support/docs/issue-trackers), or by
         submitting an issue in its linked tracker in the .repo-metadata.json
-        file https://issuetracker.google.com/savedsearches/559654       
+        file https://issuetracker.google.com/savedsearches/559654    
     validations:
       required: true
   - type: input

.github/ISSUE_TEMPLATE/processs_request.md

@@ -1,5 +1,4 @@
 ---
 name: Process Request
-about: Submit a process request to the library. Process requests are any requests related to library infrastructure, including CI/CD, publishing, releasing, etc. This issue template should primarily used by internal members.
-
----
+about: Submit a process request to the library. Process requests are any requests related to library infrastructure, for example CI/CD, publishing, releasing, broken links.
+---

.github/scripts/close-invalid-link.cjs

@@ -40,9 +40,12 @@ module.exports = async ({github, context}) => {
     const isBugTemplate = issue.data.body.includes('Link to the code that reproduces this issue');
 
     if (isBugTemplate) {
+        console.log(`Issue ${number} is a bug template`)
         try {
-            const link = issue.data.body.split('\n')[18].match(/(https?:\/\/g?i?s?t?\.?github.com\/.*)/);
+            const link = issue.data.body.split('\n')[18].match(/(https?:\/\/(gist\.)?github.com\/.*)/)[0];
+            console.log(`Issue ${number} contains this link: ${link}`)
             const isValidLink = (await fetch(link)).ok;
+            console.log(`Issue ${number} has a ${isValidLink ? 'valid' : 'invalid'} link`)
             if (!isValidLink) {
             await closeIssue(github, owner, repo, number);
             }

src/types.d.ts

@@ -13,7 +13,7 @@
 // limitations under the License.
 
 /**
- * Discovery Revision: 20240905
+ * Discovery Revision: 20240919
  */
 
 /**
@@ -3400,7 +3400,8 @@ declare namespace bigquery {
       | 'RANDOM_FOREST_CLASSIFIER'
       | 'TENSORFLOW_LITE'
       | 'ONNX'
-      | 'TRANSFORM_ONLY';
+      | 'TRANSFORM_ONLY'
+      | 'CONTRIBUTION_ANALYSIS';
     /**
      * Output only. Training type of the job.
      */
@@ -3503,7 +3504,8 @@ declare namespace bigquery {
       | 'RANDOM_FOREST_CLASSIFIER'
       | 'TENSORFLOW_LITE'
       | 'ONNX'
-      | 'TRANSFORM_ONLY';
+      | 'TRANSFORM_ONLY'
+      | 'CONTRIBUTION_ANALYSIS';
     /**
      * Output only. For single-objective [hyperparameter tuning](https://cloud.google.com/bigquery-ml/docs/reference/standard-sql/bigqueryml-syntax-hp-tuning-overview) models, it only contains the best trial. For multi-objective [hyperparameter tuning](https://cloud.google.com/bigquery-ml/docs/reference/standard-sql/bigqueryml-syntax-hp-tuning-overview) models, it contains all Pareto optimal trials sorted by trial_id.
      */
@@ -5511,6 +5513,10 @@ declare namespace bigquery {
      * Subsample ratio of columns when constructing each tree for boosted tree models.
      */
     colsampleBytree?: number;
+    /**
+     * The contribution metric. Applies to contribution analysis models. Allowed formats supported are for summable and summable ratio contribution metrics. These include expressions such as "SUM(x)" or "SUM(x)/SUM(y)", where x and y are column names from the base table.
+     */
+    contributionMetric?: string;
     /**
      * Type of normalization algorithm for boosted tree models using dart booster.
      */
@@ -5550,6 +5556,10 @@ declare namespace bigquery {
      * If true, perform decompose time series and save the results.
      */
     decomposeTimeSeries?: boolean;
+    /**
+     * Optional. Names of the columns to slice on. Applies to contribution analysis models.
+     */
+    dimensionIdColumns?: Array<string>;
     /**
      * Distance type for clustering models.
      */
@@ -5771,6 +5781,10 @@ declare namespace bigquery {
      * Number of integral steps for the integrated gradients explain method.
      */
     integratedGradientsNumSteps?: string;
+    /**
+     * Name of the column used to determine the rows corresponding to control and test. Applies to contribution analysis models.
+     */
+    isTestColumn?: string;
     /**
      * Item column specified for matrix factorization models.
      */
@@ -5834,6 +5848,10 @@ declare namespace bigquery {
      * Maximum depth of a tree for boosted tree models.
      */
     maxTreeDepth?: string;
+    /**
+     * The apriori support minimum. Applies to contribution analysis models.
+     */
+    minAprioriSupport?: number;
     /**
      * When early_stop is true, stops training when accuracy improvement is less than 'min_relative_progress'. Used only for iterative training algorithms.
      */