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stdlib-js · Dec 26, 2023 · e40bde2 · e40bde2
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diff --git a/.github/workflows/npm_downloads.yml b/.github/workflows/npm_downloads.yml
@@ -102,8 +102,8 @@ jobs:
 
       # Send data to events server:
       - name: 'Post data'
-        # Pin action to full length commit SHA corresponding to v3.0.3:
-        uses: distributhor/workflow-webhook@48a40b380ce4593b6a6676528cd005986ae56629
+        # Pin action to full length commit SHA
+        uses: distributhor/workflow-webhook@48a40b380ce4593b6a6676528cd005986ae56629 # v3.0.3
         env:
           webhook_url: ${{ secrets.STDLIB_NPM_DOWNLOADS_URL }}
           webhook_secret: ${{ secrets.STDLIB_WEBHOOK_SECRET }}

diff --git a/.github/workflows/test_coverage.yml b/.github/workflows/test_coverage.yml
@@ -119,8 +119,8 @@ jobs:
 
       # Send data to events server:
       - name: 'Post data'
-        # Pin action to full length commit SHA corresponding to v3.0.3:
-        uses: distributhor/workflow-webhook@48a40b380ce4593b6a6676528cd005986ae56629
+        # Pin action to full length commit SHA
+        uses: distributhor/workflow-webhook@48a40b380ce4593b6a6676528cd005986ae56629 # v3.0.3
         env:
           webhook_url: ${{ secrets.STDLIB_COVERAGE_URL }}
           webhook_secret: ${{ secrets.STDLIB_WEBHOOK_SECRET }}

diff --git a/array/README.md b/array/README.md
@@ -52,6 +52,7 @@ The namespace contains the following:
 -   <span class="signature">[`discreteUniform( len, a, b[, options] )`][@stdlib/random/array/discrete-uniform]</span><span class="delimiter">: </span><span class="description">create an array containing pseudorandom numbers drawn from a discrete uniform distribution.</span>
 -   <span class="signature">[`exponential( len, lambda[, options] )`][@stdlib/random/array/exponential]</span><span class="delimiter">: </span><span class="description">create an array containing pseudorandom numbers drawn from an exponential distribution.</span>
 -   <span class="signature">[`gamma( len, alpha, beta[, options] )`][@stdlib/random/array/gamma]</span><span class="delimiter">: </span><span class="description">create an array containing pseudorandom numbers drawn from a gamma distribution.</span>
+-   <span class="signature">[`geometric( len, p[, options] )`][@stdlib/random/array/geometric]</span><span class="delimiter">: </span><span class="description">create an array containing pseudorandom numbers drawn from an geometric distribution.</span>
 -   <span class="signature">[`invgamma( len, alpha, beta[, options] )`][@stdlib/random/array/invgamma]</span><span class="delimiter">: </span><span class="description">create an array containing pseudorandom numbers drawn from an inverse gamma distribution.</span>
 -   <span class="signature">[`lognormal( len, mu, sigma[, options] )`][@stdlib/random/array/lognormal]</span><span class="delimiter">: </span><span class="description">create an array containing pseudorandom numbers drawn from a lognormal distribution.</span>
 -   <span class="signature">[`minstdShuffle( len[, options] )`][@stdlib/random/array/minstd-shuffle]</span><span class="delimiter">: </span><span class="description">create an array containing pseudorandom numbers generated using a linear congruential pseudorandom number generator (LCG) whose output is shuffled.</span>
@@ -116,6 +117,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/random/array/gamma]: https://github.com/stdlib-js/random/tree/main/array/gamma
 
+[@stdlib/random/array/geometric]: https://github.com/stdlib-js/random/tree/main/array/geometric
+
 [@stdlib/random/array/invgamma]: https://github.com/stdlib-js/random/tree/main/array/invgamma
 
 [@stdlib/random/array/lognormal]: https://github.com/stdlib-js/random/tree/main/array/lognormal