From 9caf4784aada17dc75348f77cc8c356df503c0f3 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Mon, 8 Jan 2024 19:16:25 +0100
Subject: [PATCH] [pre-commit.ci] pre-commit autoupdate (#11231)
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* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.1.9 → v0.1.11](https://github.com/astral-sh/ruff-pre-commit/compare/v0.1.9...v0.1.11)

* updating DIRECTORY.md

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
---
 .pre-commit-config.yaml | 2 +-
 DIRECTORY.md            | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 61ec3a54a..0e06ba7a5 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -16,7 +16,7 @@ repos:
     -   id: auto-walrus
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.1.9
+    rev: v0.1.11
     hooks:
       - id: ruff
 
diff --git a/DIRECTORY.md b/DIRECTORY.md
index 2ee72df37..b5392fd09 100644
--- a/DIRECTORY.md
+++ b/DIRECTORY.md
@@ -631,7 +631,6 @@
   * [Floor](maths/floor.py)
   * [Gamma](maths/gamma.py)
   * [Gaussian](maths/gaussian.py)
-  * [Gaussian Error Linear Unit](maths/gaussian_error_linear_unit.py)
   * [Gcd Of N Numbers](maths/gcd_of_n_numbers.py)
   * [Germain Primes](maths/germain_primes.py)
   * [Greatest Common Divisor](maths/greatest_common_divisor.py)
@@ -791,6 +790,7 @@
   * Activation Functions
     * [Binary Step](neural_network/activation_functions/binary_step.py)
     * [Exponential Linear Unit](neural_network/activation_functions/exponential_linear_unit.py)
+    * [Gaussian Error Linear Unit](neural_network/activation_functions/gaussian_error_linear_unit.py)
     * [Leaky Rectified Linear Unit](neural_network/activation_functions/leaky_rectified_linear_unit.py)
     * [Mish](neural_network/activation_functions/mish.py)
     * [Rectified Linear Unit](neural_network/activation_functions/rectified_linear_unit.py)