My HDR Photo Maker
https://github.com/Coolythecoder/HDR-Photo-Maker is my repo and converts SDR to HDR.
/r/Python
https://redd.it/1laqarr
https://github.com/Coolythecoder/HDR-Photo-Maker is my repo and converts SDR to HDR.
/r/Python
https://redd.it/1laqarr
GitHub
GitHub - Coolythecoder/HDR-Photo-Maker: Makes SDR photos HDR
Makes SDR photos HDR. Contribute to Coolythecoder/HDR-Photo-Maker development by creating an account on GitHub.
🎉 Update on django-lastdayofmonth integration
Hi everyone!
I recently released **django-lastdayofmonth v1.1.0**, officially tested with **Django 3.2 – 5.2** and **Python 3.10 – 3.12**. The package provides a convenient, database-agnostic ORM function for determining the last day of any month.
The main highlights since the original proposal:
* ✅ **Official Django 5.2 support** (just released!)
* ✅ Simplified usage — no longer requires adding to `INSTALLED_APPS`
* ✅ Fully tested and stable across supported Django and Python versions.
📌 **Link to PyPI:**
[https://pypi.org/project/django-lastdayofmonth/](https://pypi.org/project/django-lastdayofmonth/)
📌 **GitHub Repository:**
[https://github.com/nobilebeniamino/django-lastdayofmonth](https://github.com/nobilebeniamino/django-lastdayofmonth)
I'd still love to see this functionality become a core part of Django, making date calculations easier for everyone.
If you find this feature valuable, please consider showing your support by adding a 👍 reaction to the GitHub issue below:
👉 [**Django Issue #38**](https://github.com/django/new-features/issues/38) 👈
Thanks again for your help and support—let's see if we can make Django even better together! 🚀
/r/django
https://redd.it/1lb1tgk
Hi everyone!
I recently released **django-lastdayofmonth v1.1.0**, officially tested with **Django 3.2 – 5.2** and **Python 3.10 – 3.12**. The package provides a convenient, database-agnostic ORM function for determining the last day of any month.
The main highlights since the original proposal:
* ✅ **Official Django 5.2 support** (just released!)
* ✅ Simplified usage — no longer requires adding to `INSTALLED_APPS`
* ✅ Fully tested and stable across supported Django and Python versions.
📌 **Link to PyPI:**
[https://pypi.org/project/django-lastdayofmonth/](https://pypi.org/project/django-lastdayofmonth/)
📌 **GitHub Repository:**
[https://github.com/nobilebeniamino/django-lastdayofmonth](https://github.com/nobilebeniamino/django-lastdayofmonth)
I'd still love to see this functionality become a core part of Django, making date calculations easier for everyone.
If you find this feature valuable, please consider showing your support by adding a 👍 reaction to the GitHub issue below:
👉 [**Django Issue #38**](https://github.com/django/new-features/issues/38) 👈
Thanks again for your help and support—let's see if we can make Django even better together! 🚀
/r/django
https://redd.it/1lb1tgk
PyPI
django-lastdayofmonth
Cross-database LastDayOfMonth function for Django ORM
Recent Noteworthy Package Releases
Over the last 7 days, I've noticed these significant upgrades in the Python package ecosystem.
**NumPy 2.3.0**
**google-adk 1.3.0**
**pip-system-certs 5.0**
**django-multiselectfield 1.0.0**
**shap 0.48.0**
**django-waffle 5.0.0**
**schemathesis 4.0.0**
/r/Python
https://redd.it/1laazsd
Over the last 7 days, I've noticed these significant upgrades in the Python package ecosystem.
**NumPy 2.3.0**
**google-adk 1.3.0**
**pip-system-certs 5.0**
**django-multiselectfield 1.0.0**
**shap 0.48.0**
**django-waffle 5.0.0**
**schemathesis 4.0.0**
/r/Python
https://redd.it/1laazsd
GitHub
Release v2.3.0 (June 7, 2025) · numpy/numpy
NumPy 2.3.0 Release Notes
The NumPy 2.3.0 release continues the work to improve free threaded
Python support and annotations together with the usual set of bug fixes.
It is unusual in the number of...
The NumPy 2.3.0 release continues the work to improve free threaded
Python support and annotations together with the usual set of bug fixes.
It is unusual in the number of...
Premier: Instantly Turn Your ASGI App into an API Gateway
Hey everyone! I've been working on a project called Premier that I think might be useful for Python developers who need API gateway functionality without the complexity of enterprise solutions.
## What My Project Does
Premier is a versatile resilience framework that adds retry, cache, throttle logic to your python app.
It operates in three main ways:
1. Lightweight Standalone API Gateway - Run as a dedicated gateway service
2. ASGI App/Middleware - Wrap existing ASGI applications without code changes
3. Function Resilience Toolbox - Flexible yet powerful decorators for cache, retry, timeout, and throttle logic
The core idea is simple: add enterprise-grade features like caching, rate limiting, retry logic, timeouts, and performance monitoring to your existing Python web apps with minimal effort.
### Key Features
- Response Caching - Smart caching with TTL and custom cache keys
- Rate Limiting - Multiple algorithms (fixed/sliding window, token/leaky bucket) that work with distributed applications
- Retry Logic - Configurable retry strategies with exponential backoff
- Request Timeouts - Per-path timeout protection
- Path-Based Policies - Different features per route with regex matching
- YAML Configuration - Declarative configuration with namespace support
### Why Premier
Premier lets you instantly add API gateway features to your existing ASGI applications without introducing heavy, complex tech stacks like Kong or
/r/Python
https://redd.it/1lb52n0
Hey everyone! I've been working on a project called Premier that I think might be useful for Python developers who need API gateway functionality without the complexity of enterprise solutions.
## What My Project Does
Premier is a versatile resilience framework that adds retry, cache, throttle logic to your python app.
It operates in three main ways:
1. Lightweight Standalone API Gateway - Run as a dedicated gateway service
2. ASGI App/Middleware - Wrap existing ASGI applications without code changes
3. Function Resilience Toolbox - Flexible yet powerful decorators for cache, retry, timeout, and throttle logic
The core idea is simple: add enterprise-grade features like caching, rate limiting, retry logic, timeouts, and performance monitoring to your existing Python web apps with minimal effort.
### Key Features
- Response Caching - Smart caching with TTL and custom cache keys
- Rate Limiting - Multiple algorithms (fixed/sliding window, token/leaky bucket) that work with distributed applications
- Retry Logic - Configurable retry strategies with exponential backoff
- Request Timeouts - Per-path timeout protection
- Path-Based Policies - Different features per route with regex matching
- YAML Configuration - Declarative configuration with namespace support
### Why Premier
Premier lets you instantly add API gateway features to your existing ASGI applications without introducing heavy, complex tech stacks like Kong or
/r/Python
https://redd.it/1lb52n0
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
P 3Blue1Brown Follow-up: From Hypothetical Examples to LLM Circuit Visualization
About a year ago, I watched this 3Blue1Brown LLM tutorial on how a model’s self-attention mechanism is used to predict the next token in a sequence, and I was surprised by how little we know about what actually happens when processing the sentence "A fluffy blue creature roamed the verdant forest."
A year later, the field of mechanistic interpretability has seen significant advancements, and we're now able to "decompose" models into interpretable circuits that help explain how LLMs produce predictions. Using the second iteration of an LLM "debugger" I've been working on, I compare the hypothetical representations used in the tutorial to the actual representations I see when extracting a circuit that describes the processing of this specific sentence. If you're into model interpretability, please take a look! https://peterlai.github.io/gpt-circuits/
/r/MachineLearning
https://redd.it/1laqsz2
About a year ago, I watched this 3Blue1Brown LLM tutorial on how a model’s self-attention mechanism is used to predict the next token in a sequence, and I was surprised by how little we know about what actually happens when processing the sentence "A fluffy blue creature roamed the verdant forest."
A year later, the field of mechanistic interpretability has seen significant advancements, and we're now able to "decompose" models into interpretable circuits that help explain how LLMs produce predictions. Using the second iteration of an LLM "debugger" I've been working on, I compare the hypothetical representations used in the tutorial to the actual representations I see when extracting a circuit that describes the processing of this specific sentence. If you're into model interpretability, please take a look! https://peterlai.github.io/gpt-circuits/
/r/MachineLearning
https://redd.it/1laqsz2
YouTube
Attention in transformers, step-by-step | DL6
Demystifying attention, the key mechanism inside transformers and LLMs.
Instead of sponsored ad reads, these lessons are funded directly by viewers: https://3b1b.co/support
Special thanks to these supporters: https://www.3blue1brown.com/lessons/attention#thanks…
Instead of sponsored ad reads, these lessons are funded directly by viewers: https://3b1b.co/support
Special thanks to these supporters: https://www.3blue1brown.com/lessons/attention#thanks…
Is there a reason for needing to import so many libraries?
Me and a friend are working on a school project for which we **have to** use flask for the backend. I realised that we needed to import a metric fuckton of libraries for buttons, forms and that type of stuff.
Is there a reason for that?
/r/flask
https://redd.it/1lbaaqw
Me and a friend are working on a school project for which we **have to** use flask for the backend. I realised that we needed to import a metric fuckton of libraries for buttons, forms and that type of stuff.
Is there a reason for that?
/r/flask
https://redd.it/1lbaaqw
Reddit
From the flask community on Reddit
Explore this post and more from the flask community
Local LLM Memorization – A fully local memory system for long-term recall and visualization
Hey r/Python!
I've been working on my first project called LLM Memorization — a fully local memory system for your LLMs, designed to work with tools like LM Studio, Ollama, or Transformer Lab.
The idea is simple: If you're running a local LLM, why not give it a memory?
# What My Project Does
Logs all your LLM chats into a local SQLite database
Extracts key information from each exchange (questions, answers, keywords, timestamps, models…)
Syncs automatically with LM Studio (or other local UIs with minor tweaks)
Removes duplicates and performs idea extraction to keep the database clean and useful
Retrieves similar past conversations when you ask a new question
Summarizes the relevant memory using a local T5-style model and injects it into your prompt
Visualizes the input question, the enhanced prompt, and the memory base
Runs as a lightweight Python CLI, designed for fast local use and easy customization
# Why does this matter?
Most local LLM setups forget everything between sessions.
That’s fine for quick Q&A — but what if you’re working on a long-term project, or want your model to remember what matters?
With LLM Memorization, your memory stays on your machine.
No cloud. No API calls. No privacy concerns. Just a growing personal knowledge
/r/Python
https://redd.it/1lb9fcr
Hey r/Python!
I've been working on my first project called LLM Memorization — a fully local memory system for your LLMs, designed to work with tools like LM Studio, Ollama, or Transformer Lab.
The idea is simple: If you're running a local LLM, why not give it a memory?
# What My Project Does
Logs all your LLM chats into a local SQLite database
Extracts key information from each exchange (questions, answers, keywords, timestamps, models…)
Syncs automatically with LM Studio (or other local UIs with minor tweaks)
Removes duplicates and performs idea extraction to keep the database clean and useful
Retrieves similar past conversations when you ask a new question
Summarizes the relevant memory using a local T5-style model and injects it into your prompt
Visualizes the input question, the enhanced prompt, and the memory base
Runs as a lightweight Python CLI, designed for fast local use and easy customization
# Why does this matter?
Most local LLM setups forget everything between sessions.
That’s fine for quick Q&A — but what if you’re working on a long-term project, or want your model to remember what matters?
With LLM Memorization, your memory stays on your machine.
No cloud. No API calls. No privacy concerns. Just a growing personal knowledge
/r/Python
https://redd.it/1lb9fcr
Reddit
From the Python community on Reddit: Local LLM Memorization – A fully local memory system for long-term recall and visualization
Explore this post and more from the Python community
Building an ERP: ready-made platforms vs custom development
I’m a software engineer, and a client has asked me to deliver a fast B2B solution. I’d never heard of Odoo before and I’m curious whether it could really save me time on the infrastructure side. I’m looking for a platform I can customize with my own code and integrations, and so far I’ve shortlisted ERPNext, Odoo, and Axelor as ready-made options.
Long story short, I’m building a portal where electronics suppliers can log in and upload products to the company for which I’m developing the ERP; that company will then resell those items to smaller retailers at a steep discount. Major chains such as Micro Center, Electronic Express, and Abt Electronics will need access as well. The company essentially acts as an intermediary, handling all purchase requests, shipment tracking, and invoicing.
My question: Is it really better to leverage one of these ready-made frameworks, or would building the system from scratch give me a more solid and scalable solution?
/r/Python
https://redd.it/1lb5jk5
I’m a software engineer, and a client has asked me to deliver a fast B2B solution. I’d never heard of Odoo before and I’m curious whether it could really save me time on the infrastructure side. I’m looking for a platform I can customize with my own code and integrations, and so far I’ve shortlisted ERPNext, Odoo, and Axelor as ready-made options.
Long story short, I’m building a portal where electronics suppliers can log in and upload products to the company for which I’m developing the ERP; that company will then resell those items to smaller retailers at a steep discount. Major chains such as Micro Center, Electronic Express, and Abt Electronics will need access as well. The company essentially acts as an intermediary, handling all purchase requests, shipment tracking, and invoicing.
My question: Is it really better to leverage one of these ready-made frameworks, or would building the system from scratch give me a more solid and scalable solution?
/r/Python
https://redd.it/1lb5jk5
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
Why is Django not the most popular framework?
Python is the most popular programming language with AI/ML becoming centerstage. Then why is Django not the most popular web framework? It seems natural that when models are hosted via API and need a web interface for users, then the Python developers who built the model would opt for Django since it is also in Python.
But I don't see as active an involvement on YouTube for Django compared to Next.js, React, and other Frontend frameworks. Am I misinterpreting it or missing something in my understanding?
I also realised that it's not straightforward to integrate frontend technologies such as Tailwind CSS as it is for other frontend frameworks.
Django has strong security and a fully developed Admin interface which saves lot of development time but still I see that it's not as popular as other frameworks such as Laravel or Next.js.
I am at a point where I need to pick a framework as a goto framework for all my future web development and I am at the moment torn between options and indecisiveness.
I foresee having AI components in my apps and needing to interact with trained models at some point. And I am reluctant if I pick Django,
/r/django
https://redd.it/1lba2to
Python is the most popular programming language with AI/ML becoming centerstage. Then why is Django not the most popular web framework? It seems natural that when models are hosted via API and need a web interface for users, then the Python developers who built the model would opt for Django since it is also in Python.
But I don't see as active an involvement on YouTube for Django compared to Next.js, React, and other Frontend frameworks. Am I misinterpreting it or missing something in my understanding?
I also realised that it's not straightforward to integrate frontend technologies such as Tailwind CSS as it is for other frontend frameworks.
Django has strong security and a fully developed Admin interface which saves lot of development time but still I see that it's not as popular as other frameworks such as Laravel or Next.js.
I am at a point where I need to pick a framework as a goto framework for all my future web development and I am at the moment torn between options and indecisiveness.
I foresee having AI components in my apps and needing to interact with trained models at some point. And I am reluctant if I pick Django,
/r/django
https://redd.it/1lba2to
Reddit
From the django community on Reddit
Explore this post and more from the django community
My First Project With Python FeedBacks
Hii, i started to student python for 8 moths ago and I finally end my first project, I created a simple crud and would like opinions about my code.
Any feedback for me is very important
github: https://github.com/Kelabr/profindustry
/r/Python
https://redd.it/1lbi5uc
Hii, i started to student python for 8 moths ago and I finally end my first project, I created a simple crud and would like opinions about my code.
Any feedback for me is very important
github: https://github.com/Kelabr/profindustry
/r/Python
https://redd.it/1lbi5uc
GitHub
GitHub - Kelabr/profindustry
Contribute to Kelabr/profindustry development by creating an account on GitHub.
how django handles multiple users at the same time
Hey guys, in my almost completed inventory management app i have two types of users (admin and operator), and it is possible and will likely happen, that, once i deploy the app both users will use it at the same time.
an example:
imagine an admin is adding a specific quantity of stock to a product or a new product (functionalities that are specific to this user type) and the operator is removing stock of the same or other product, how is django going to deal with this?
thanks in advance
/r/django
https://redd.it/1lbhqhb
Hey guys, in my almost completed inventory management app i have two types of users (admin and operator), and it is possible and will likely happen, that, once i deploy the app both users will use it at the same time.
an example:
imagine an admin is adding a specific quantity of stock to a product or a new product (functionalities that are specific to this user type) and the operator is removing stock of the same or other product, how is django going to deal with this?
thanks in advance
/r/django
https://redd.it/1lbhqhb
Reddit
From the django community on Reddit
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NameError Issue with Flask
I'm trying to make a battle simulator with flask, and I've encountered a really weird issue. The initial index.html renders fine, but when I click on a button that links to another page (that has proper html), i get this NameError: logging is not defined.
My program doesn't use logging, has never used logging, and it doesn't get resolved even after I imported it. My program worked fine, but after I tried downloading an old logging module that subsequently failed (in Thonny if that's important) I've been unable to fix this issue. I've cleared my pycache, I've checked if anything was actually/partially installed. I even tried duplicating everything to a new directory and the issue persisted.
When I replaced my code with a similar project I found online, it worked completely fine, so my code is the issue (same modules imported, same dependencies, etc). However, as I've said, my code worked well before and didn't directly use anything from logging
https://docs.google.com/document/d/1zRAJHpZ1GAntbbYB2MsRDKLeZWplHKIzMJ6h2ggMzuU/edit?usp=sharing (Link to all the code)
Working index.html
When I click on \\"Start Battle!\\" This shows up \(If this is too blurry, the link above has the error text as well\)
The code that is shown in the traceback seems to be weirdly arbitrary. I don't
/r/flask
https://redd.it/1lb967q
I'm trying to make a battle simulator with flask, and I've encountered a really weird issue. The initial index.html renders fine, but when I click on a button that links to another page (that has proper html), i get this NameError: logging is not defined.
My program doesn't use logging, has never used logging, and it doesn't get resolved even after I imported it. My program worked fine, but after I tried downloading an old logging module that subsequently failed (in Thonny if that's important) I've been unable to fix this issue. I've cleared my pycache, I've checked if anything was actually/partially installed. I even tried duplicating everything to a new directory and the issue persisted.
When I replaced my code with a similar project I found online, it worked completely fine, so my code is the issue (same modules imported, same dependencies, etc). However, as I've said, my code worked well before and didn't directly use anything from logging
https://docs.google.com/document/d/1zRAJHpZ1GAntbbYB2MsRDKLeZWplHKIzMJ6h2ggMzuU/edit?usp=sharing (Link to all the code)
Working index.html
When I click on \\"Start Battle!\\" This shows up \(If this is too blurry, the link above has the error text as well\)
The code that is shown in the traceback seems to be weirdly arbitrary. I don't
/r/flask
https://redd.it/1lb967q
Google Docs
b
main.py from flask import Flask, render_template, request, jsonify import requests import requests.exceptions import random import math import json import os import pokebase as pb app = Flask(__name__) @app.route("/", methods=['GET']) def index(): …
Best Resources to Learn Django ?
I already have experience with Flask and have built a couple of small projects using it. Now I'm planning to dive into Django and would love to hear from the community
What are the best resources (courses, tutorials, YouTube channels, books) for learning Django ?
/r/djangolearning
https://redd.it/1lb98qc
I already have experience with Flask and have built a couple of small projects using it. Now I'm planning to dive into Django and would love to hear from the community
What are the best resources (courses, tutorials, YouTube channels, books) for learning Django ?
/r/djangolearning
https://redd.it/1lb98qc
Reddit
From the djangolearning community on Reddit
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Learning Backend for the first time with Flask but hate styling the frontend
Hey is it okay to use AI for developing the frontend for my flask app projects? I hate CSS and know only Python and not JS. I tried but I just hate to take css up from a blank page. I hate styling even with Bootstrap. It is not that I don't want my projects or website to look good, the thing is only that I don't like writing or learning the code to design pages.
So if I am making those projects for my portfolio as a backend developer, is it okay to use AI for the frontend?
/r/flask
https://redd.it/1larrwz
Hey is it okay to use AI for developing the frontend for my flask app projects? I hate CSS and know only Python and not JS. I tried but I just hate to take css up from a blank page. I hate styling even with Bootstrap. It is not that I don't want my projects or website to look good, the thing is only that I don't like writing or learning the code to design pages.
So if I am making those projects for my portfolio as a backend developer, is it okay to use AI for the frontend?
/r/flask
https://redd.it/1larrwz
Reddit
From the flask community on Reddit
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Sunday Daily Thread: What's everyone working on this week?
# Weekly Thread: What's Everyone Working On This Week? 🛠️
Hello /r/Python! It's time to share what you've been working on! Whether it's a work-in-progress, a completed masterpiece, or just a rough idea, let us know what you're up to!
## How it Works:
1. Show & Tell: Share your current projects, completed works, or future ideas.
2. Discuss: Get feedback, find collaborators, or just chat about your project.
3. Inspire: Your project might inspire someone else, just as you might get inspired here.
## Guidelines:
Feel free to include as many details as you'd like. Code snippets, screenshots, and links are all welcome.
Whether it's your job, your hobby, or your passion project, all Python-related work is welcome here.
## Example Shares:
1. Machine Learning Model: Working on a ML model to predict stock prices. Just cracked a 90% accuracy rate!
2. Web Scraping: Built a script to scrape and analyze news articles. It's helped me understand media bias better.
3. Automation: Automated my home lighting with Python and Raspberry Pi. My life has never been easier!
Let's build and grow together! Share your journey and learn from others. Happy coding! 🌟
/r/Python
https://redd.it/1lbmt5u
# Weekly Thread: What's Everyone Working On This Week? 🛠️
Hello /r/Python! It's time to share what you've been working on! Whether it's a work-in-progress, a completed masterpiece, or just a rough idea, let us know what you're up to!
## How it Works:
1. Show & Tell: Share your current projects, completed works, or future ideas.
2. Discuss: Get feedback, find collaborators, or just chat about your project.
3. Inspire: Your project might inspire someone else, just as you might get inspired here.
## Guidelines:
Feel free to include as many details as you'd like. Code snippets, screenshots, and links are all welcome.
Whether it's your job, your hobby, or your passion project, all Python-related work is welcome here.
## Example Shares:
1. Machine Learning Model: Working on a ML model to predict stock prices. Just cracked a 90% accuracy rate!
2. Web Scraping: Built a script to scrape and analyze news articles. It's helped me understand media bias better.
3. Automation: Automated my home lighting with Python and Raspberry Pi. My life has never been easier!
Let's build and grow together! Share your journey and learn from others. Happy coding! 🌟
/r/Python
https://redd.it/1lbmt5u
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
Open Source Unsiloed AI Chunker (EF2024)
Hey , Unsiloed CTO here!
Unsiloed AI (EF 2024) is backed by Transpose Platform & EF and is currently being used by teams at Fortune 100 companies and multiple Series E+ startups for ingesting multimodal data in the form of PDFs, Excel, PPTs, etc. And, we have now finally open sourced some of the capabilities. Do give it a try!
Also, we are inviting cracked developers to come and contribute to bounties of upto 1000$ on algora. This would be a great way to get noticed for the job openings at Unsiloed.
Bounty Link- https://algora.io/bounties
Github Link - https://github.com/Unsiloed-AI/Unsiloed-chunker
/r/Python
https://redd.it/1lbqd5n
Hey , Unsiloed CTO here!
Unsiloed AI (EF 2024) is backed by Transpose Platform & EF and is currently being used by teams at Fortune 100 companies and multiple Series E+ startups for ingesting multimodal data in the form of PDFs, Excel, PPTs, etc. And, we have now finally open sourced some of the capabilities. Do give it a try!
Also, we are inviting cracked developers to come and contribute to bounties of upto 1000$ on algora. This would be a great way to get noticed for the job openings at Unsiloed.
Bounty Link- https://algora.io/bounties
Github Link - https://github.com/Unsiloed-AI/Unsiloed-chunker
/r/Python
https://redd.it/1lbqd5n
Algora
Bounties | Algora
Algora connects companies and engineers for full-time and contract work
Why most of Django repos don't have a license file in Github?
Same as title.
It makes impossible to use it for projects because unlicensed repos are closed source.
/r/django
https://redd.it/1lbw0ky
Same as title.
It makes impossible to use it for projects because unlicensed repos are closed source.
/r/django
https://redd.it/1lbw0ky
Reddit
From the django community on Reddit
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