Merge ff98d6f202 into e3bd7721c8

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.7.2 → v0.7.3](https://github.com/astral-sh/ruff-pre-commit/compare/v0.7.2...v0.7.3)
- [github.com/abravalheri/validate-pyproject: v0.22 → v0.23](https://github.com/abravalheri/validate-pyproject/compare/v0.22...v0.23)

* Update sudoku_solver.py

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Christian Clauss <cclauss@me.com>

.pre-commit-config.yaml

@@ -16,7 +16,7 @@ repos:
       - id: auto-walrus
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.7.1
+    rev: v0.7.3
     hooks:
       - id: ruff
       - id: ruff-format
@@ -29,7 +29,7 @@ repos:
           - tomli
 
   - repo: https://github.com/tox-dev/pyproject-fmt
-    rev: "v2.4.3"
+    rev: "v2.5.0"
     hooks:
       - id: pyproject-fmt
 
@@ -42,7 +42,7 @@ repos:
         pass_filenames: false
 
   - repo: https://github.com/abravalheri/validate-pyproject
-    rev: v0.22
+    rev: v0.23
     hooks:
       - id: validate-pyproject
 

data_structures/arrays/sudoku_solver.py

@@ -172,7 +172,7 @@ def solved(values):
 
 def from_file(filename, sep="\n"):
     "Parse a file into a list of strings, separated by sep."
-    return open(filename).read().strip().split(sep)  # noqa: SIM115
+    return open(filename).read().strip().split(sep)
 
 
 def random_puzzle(assignments=17):

neural_network/chatbot/README.md

@@ -0,0 +1,83 @@
+
+
+# Chatbot with LLM Integration and Database Storage
+
+This chatbot application integrates LLM (Large Language Model) API services, **Together** and **Groq**(you can use any one of them), to generate AI-driven responses. It stores conversation history in a MySQL database and manages chat sessions with triggers that update the status of conversations automatically.
+
+## Features
+- Supports LLM response generation using **Together** and **Groq** APIs.
+- Stores chat sessions and message exchanges in MySQL database tables.
+- Automatically updates chat session status using database triggers.
+- Manages conversation history with user-assistant interaction.
+
+## Requirements
+
+Before running the application, ensure the following dependencies are installed:
+
+- Python 3.13+
+- MySQL Server
+- The following Python libraries:
+  ```bash
+  pip3 install -r requirements.txt
+  ```
+
+## Setup Instructions
+
+### Step 1: Set Up Environment Variables
+
+Create a `.env` file in the root directory of your project and add the following entries for your database credentials and API keys:
+
+```
+# Together API key
+TOGETHER_API_KEY="YOUR_API_KEY"
+
+# Groq API key
+GROQ_API_KEY = "YOUR_API_KEY"
+
+# MySQL connectionDB (if you're running locally)
+DB_USER = "<DB_USER_NAME>"
+DB_PASSWORD = "<DB_USER_NAME>"
+DB_HOST = "127.0.0.1"
+DB_NAME = "ChatDB"
+PORT = "3306"
+
+# API service to you(or use "Together")
+API_SERVICE = "Groq"
+```
+
+### Step 2: Create MySQL Tables and Trigger
+
+The `create_tables()` function in the script automatically creates the necessary tables and a trigger for updating chat session statuses. To ensure the database is set up correctly, the function is called at the beginning of the script.
+
+Ensure that your MySQL server is running and accessible before running the code.
+
+### Step 3: Run the Application
+
+To start the chatbot:
+
+1. Ensure your MySQL server is running.
+2. Open a terminal and run the Python script:
+
+```bash
+python3 chat_db.py
+```
+
+The chatbot will initialize, and you can interact with it by typing your inputs. Type `/stop` to end the conversation.
+
+### Step 4: Test and Validate Code
+
+This project uses doctests to ensure that the functions work as expected. To run the doctests:
+
+```bash
+python3 -m doctest -v chatbot.py
+```
+
+Make sure to add doctests to all your functions where applicable, to validate both valid and erroneous inputs.
+
+### Key Functions
+
+- **create_tables()**: Sets up the MySQL tables (`Chat_history` and `Chat_data`) and the `update_is_stream` trigger.
+- **insert_chat_history()**: Inserts a new chat session into the `Chat_history` table.
+- **insert_chat_data()**: Inserts user-assistant message pairs into the `Chat_data` table.
+- **generate_llm_response()**: Generates a response from the selected LLM API service, either **Together** or **Groq**.
+

scripts/validate_filenames.py

@@ -1,4 +1,4 @@
-#!/usr/bin/env python3
+#!python
 import os
 
 try: