מוג'ו קיד במסע שכולו דיבורים. על סאונד
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大家好歡迎來到大學聲說 University Sound Talk,節目中會帶大家聽聽那些熱門新聞背後發生的原因,並試著以大學生的角度出發,讓大家看看世界的大小事! 請我喝杯咖啡,讓我帶大家聽聽世界吧 https://pay.firstory.me/user/ckk813gpt2aia08714z2bgefw Powered by Firstory Hosting
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The inside story about New Rochelle, NY.
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Talk Python to Me is a weekly podcast hosted by Michael Kennedy. The show covers a wide array of Python topics as well as many related topics (e.g. MongoDB, AngularJS, DevOps).The format is a casual 30 minute conversation with industry experts.
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I love drinks and serving them to people late at night. I run two bars in Hamburg: Le Lion • Bar de Paris and THE BOILERMAN BAR. I also travel some countries and visit bars and tender. www.lelion.net www.boilerman.de www.jrgmyr.net
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Are you tired of podcasts? We all are!! Unfortunately, Cipha Sounds and Wil Sylvince are two more comedians doing yet another podcast. Follow along on Talk Clearlyer as they butcher the English language while discussing News, Comedy and everything in the Zeitgeist. Or just listen to hear them try to pronounce the word, "Zeitgeist." A little bit of learning and a whole lot of laughing!!!
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[הורדה] [iTunes] [Spotify] זהו פרק בפודקסט של עמית ויינר “להצליח במוזיקה” שבו התארחתי. בפרק הזה אנחנו מדברים על מוזיקה, סאונד, ואיך (לנסות) להצליח… להנות ממוזיקה. תהנו!Autor: mojokid
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Are you early in your software dev or data science career? Maybe it hasn't even really started yet and you're still in school. On this episode we have Sydney Runkle who has had a ton of success in the Python space and she hasn't even graduated yet. We sit down to talk about what she's done and might do differently again to achieve that success. It'…
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This episode is a special crossover from my Python Bytes podcast I cohost with Brian Okken. It's got a different vibe than the interview shows here with short topics coming in fast and quick. If you haven't listened before, I think you're enjoy it.So here are a bunch of excellent Python tips and tools to close out the year. See you all first week o…
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#442: Ultra High Speed Message Parsing with msgspec
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If you're a fan of Pydantic or dataclasses, you'll definitely be interested in this episode. We are talking about a super fast data modeling and validation framework called msgspec. Some of the types in here might even be better for general purpose use than Python's native classes. Join me and Jim Crist-Harif to talk about his data exchange framewo…
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You've probably heard the term "syntactic sugar", that is, syntax within a programming language that is designed to make things easier to read or to express. It makes the language "sweeter" for human use. It turns out Brett Cannon has spent 2 years diving into and writing about Python's sweet language features and how they really work down inside C…
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We all know that LLMs and generative AI has been working its way into many products. It's Jupyter's turn to get a really awesome integration. We have David Qiu here to tell us about Jupyter AI. Jupyter AI provides a user-friendly and powerful way to apply generative AI to your notebooks. It lets you choose from many different LLM providers and mode…
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On this episode we have Wolf Vollprecht and Ruben Arts from the pixi project here to talk about pixi, a high performance package manager for Python and other languages that actually manages Python itself too. They have a lot of interesting ideas on where Python packaging should go and are putting their time and effort behind them. Will pixi become …
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#438 Jupyterlab 4 And Jupyter 7
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Jupyter Notebooks and Jupyter Lab have to be one of the most important parts of Python when it comes to bring new users to the Python ecosystem and certainly for the day to day work of data scientists and general scientists who have made some of the biggest discoveries of recent times. And that platform has recently gotten a major upgrade with Jupy…
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#437 Htmx For Django Developers And All Of Us
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Are you considering or struggling with replacing much of the interactivity of your Django app with frontend JavaScript frameworks? After all, your users do expect an interactive and modern app, right? Before you make a rash decision, you owe it to yourself to check out HTMX. It goes well with Django. We have Christopher Trudeau to run through a who…
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How well do you know your Python packaging tools? These are things like pip which install your project's dependencies and their dependencies and so on. In this mix, we have more modern tools such as Poetry, Flit, Hatch and others. And even tools outside of Python itself which may attempt to manage Python itself in addition to the libraries. To make…
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Do you worry about your developer / data science supply chain safety? All the packages for the Python ecosystem are much of what makes Python awesome. But the are also a bit of an open door to your code and machine. Luckily the PSF is taking this seriously and hired Mike Fiedler as the full time PyPI Safety & Security Engineer (not to be confused w…
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Are you building a mobile app and wondering where Python fits in the mix? Are you support others building these apps with backend APIs written in Python? Can you write your entire app, end to end, in Python? I have a great panel put together to discuss exactly this. And they all have a different and unique take on the options. Welcome to Loren Ague…
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We all know about Flask and Django. And of course FastAPI made a huge splash when it came on the scene a few years ago. But new web frameworks are being creating all the time. And they have these earlier frameworks to borrow from as well. On this episode we dive into a new framework gaining a lot of traction called Litestar. Will it be the foundati…
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#432: Migrating to Pydantic 2.0: Beanie for MongoDB
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By now, surely you've heard how awesome Pydantic version 2 is. The team led by Samual Colvin spent almost a year refactoring and reworking the core into a high-performance Rust version while keeping the public API in Python and largely unchanged. The main benefit of this has been massive speed ups for frameworks and devs using Pydantic.But just how…
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#431 Visualizing CPython Release Process
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Every year Python has a new major release. This year it's Python 3.12 and it'll come out on October 2, 2023. That's 4 days from when this episode was published. There is quite process involved to test, build, and ship Python across many platforms and channels. We have Seth Michael Larson here to give us a detailed rundown on what exactly is involve…
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#430: Delightful Machine Learning Apps with Gradio
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So, you've got this amazing machine learning model you created. And you want to share it and let your colleagues and users experiment with it on the web. How do you get started? Learning Flask or Django? Great frameworks, but you might consider Gradio which is a rapid development UI framework for ML models. On this episode, we have Freddy Boulton, …
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We write tests to show us when there are problems with our code. But what if there are intermittent problems with the tests themselves? That can be big hassle. In this episode, we have Gregory Kapfhammer and Owain Parry on the show to share their research and advice for taming flaky tests.Full show notes at https://talkpython.fm/episodes/show/429/t…
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Have you heard of Django? It's this little web framework that, well, kicked off much of Python's significance in the web space back in 2005. And that makes Django officially an adult. That's right, Django is now 18. And Django continues to lead the way on how community should be done for individual projects such as web frameworks. We have Carlton G…
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#427: 10 Tips and Ideas for the Beginner to Expert Python Journey
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Getting started in Python is pretty easy. There's even a t-shirt that jokes about it: I learned Python, it was a good weekend. But to go from know how to create variables and writing loops, to building amazing things like FastAPI or Instagram, well there is this little gap between those two things. On this episode we welcome Eric Matthes to the sho…
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#426: What's New in PyScript [August 2023]
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One of the most exciting initiatives in the Python space these days is pyscript which enables Python running natively in your browser. With consistent support from the folks at Anaconda, this project has been making solid strides since its initial release. On this episode we catch up with Fabio Pliger and Nicholas Tollervey to see where they are wi…
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#425 Memray: The endgame Python memory profiler
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Understanding how your Python application is using memory can be tough. First, Python has it's own layer of reused memory (arenas, pools, and blocks) to help it be more efficient. And many important Python packages are built in natively compiled languages like C and Rust often times making that section of your memory opaque. But with Memray, you ca…
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If you want to share your data science results as interactive web apps, you could learn Flask or Django and a bunch of other web technologies. Or, you could pick up one of the powerful frameworks for deploying data science specifically. And if you're searching through that space, you've likely hear of Shiny -- but that's just for the R side of data…
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#423: Solving 10 different simulation problems with Python
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Python is used for a wide variety of software projects. One area it's really gained a huge amount of momentum is in the computational space (including data science). On this episode we welcome back Allen Downey to dive into a particular slice of this space: simulation problems and Python in Physics and Engineering in general.Full details at https:/…
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#420: Database Consistency & Isolation for Python Devs
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When you use a SQL database like Postgres, you have to understand the subtleties of isolation levels from "read committed" to "serializable." And distributed databases like MongoDB offer a range of consistency levels, from "eventually consistent" to "linearizable" and many options in between. Plus, it's easy enough to confuse "isolation" with "cons…
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#419: Debugging Python in Production with PyStack
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Here's the situation. You have a Python app that is locked or even has completely crashed and all you're left with is a core dump on the server. Now what? It's time for PyStack! You can capture a view of your app as if you've set a breakpoint and even view the callstack and locals across language calls (for example from Python to C++ and back). We …
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#418: How To Keep A Secret in Python Apps
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Think about the different APIs and databases your application works with. Every one of them requires either an API key or a database connection string that itself contains a password. How do you let your application access this sensitive information without storing it in source code or putting in other compromising locations? We have Glyph Lefkowit…
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#417: Test-Driven Prompt Engineering for LLMs with Promptimize
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Large language models and chat-based AIs are kind of mind blowing at the moment. Many of us are playing with them for working on code or just as a fun alternative to search. But others of us are building applications with AI at the core. And when doing that, the slightly unpredictable nature and probabilistic nature of LLMs make writing and testing…
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#416: Open Source Sports Analytics with PySport
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If you're looking for fun data sets for learning, for teaching, maybe a conference talk, or even if you're just really into them, sports offers up a continuous stream of rich data that many people can relate to. Yet, accessing that data can be tricky. Sometimes it's locked away in obscure file formats. Other times, the data exists but without a cle…
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#415: Future of Pydantic and FastAPI
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The release of Pydantic 2.0, its partial rewrite in Rust, and its refactoring into Pydantic core and top-level Pydantic in Python is big news. In fact, the alpha of Pydantic 2 was just released. Of course, these changes will have potentially wide ranging (and positive!) effects on libraries that are built upon Pydantic such as FastAPI, Beanie, and …
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At PyCon 2023, there was a section of the expo floor dedicated to new Python-based companies called Startup Row. I wanted to bring their stories and the experience of talking with these new startups to you. So in this episode, we'll talk with founders from these companies for 5 to 10 minutes each.Full episode details at https://talkpython.fm/episod…
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Did you make this year's PyCon event in the US? There was a lot of excitement this time around in Salt Lake City. In this episode I'll bring you a bunch of experiences we had this year. It starts where frequent guest Jay Miller turns the tables and interviews me at the Microsoft booth on the expo hall floor in front of a live audience. Then you'll …
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#412: PEP 711 - Distributing Python Binaries
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What if we distributed CPython, the runtime, in the same way we distributed Python packages - as prebuilt binary wheels that only need to be downloaded and unzipped to run? For starters, that would mean we could ship and deploy Python apps without worrying whether Python itself is available or up-to-date on the platform. Nathaniel Smith has just pr…
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#410: The Intersection of Tabular Data and Generative AI
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AI has taken the world by storm. It's gone from near zero to amazing in just a few years. We have ChatGPT, we have Stable Diffusion. But what about Jupyter Notebooks and pandas? In this episode, we meet Justin Waugh, the creator of Sketch. Sketch adds the ability to have conversational AI interactions about your pandas data frames (code and data). …
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#409: Privacy as Code with Fides
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We all know that privacy regulations are getting more strict. And that many of our users no longer believe that "privacy is dead". But for even medium-sized organizations, actually tracking how we are using personal info in our myriad of applications and services is very tricky and error prone. On this episode, we have Thomas La Piana from the Fide…
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#405: Testing in Radio Astronomy with Python and pytest
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So you know about dependencies and testing, right? If you're talking to a DB in your app, you have to decide how to approach that with your tests. There are lots of solid options you might pick and they vary by goals. Do you mock out the DB layer for isolation or do you use a test DB to make it as real as possible? Do you just punt and use the real…
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Clean code is one of those aspects of your programming career that's easy to put on the back burner (sometimes by management more than yourself). But it's important in the short term for writing more debuggable and readable code. And important in the long run for avoiding having your program take on the dreaded "legacy code" moniker. We're fortunat…
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Talk Clearlyer Classic with Nathan Macintosh
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On this episode we throw it back to one of our first episodes that never made it to YouTube. Joined by comedian Nathan Macintosh, we talked about who is cooler, Bruce Wayne vs Tony Stark, how many chickens die every day to be eaten, and Wil shares a news story about a mannequin that got fat-shamed. FOLLOW NATHAN MACINTOSH https://www.instagram.com/…
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#403: Fusion Ignition Breakthrough and Python
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Imagine a world with free and unlimited clean energy. That's the musings of a great science fiction story. But nuclear fusion (the kind that powers the sun) has always been close at hand, we see the sun every day, and yet impossibly far away as a technology. We took a major step towards this becoming a reality with the folks at the Lawrence Livermo…
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#402: Polars: A Lightning-fast DataFrame for Python
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When you think about processing tabular data in Python, what library comes to mind? Pandas, I'd guess. But there are other libraries out there and Polars is one of the more exciting new ones. It's built in Rust, embraces parallelism, and can be 10-20x faster than Pandas out of the box.We have Polars' creator, Ritchie Vink here to give us a look at …
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Black Cock Soup with Jiaoying Summers
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On this episode we are joined by comedian Jiaoying Summers, she talks about beauty standards in China, how John Singleton convinced her to start stand up, and Jiaoying tells us her top five American films. FOLLOW JIAOYING SUMMERS https://www.instagram.com/jiaoyingsummers/?hl=en https://www.youtube.com/channel/UC6tI7PwweyR3TQlsMTR1zWg https://twitte…
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#401: Migrating 3.8 Million Lines of Python
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At some point, you've probably migrated an app from one framework or major runtime version to another. For example, Django to Flask, Python 2 to Python 3, or even Angular to Vue.js. This can be a big challenge. If you had 100s of active devs and millions of lines of code, it's a huge challenge. We have Ben Bariteau from Yelp here to recount their s…
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On this episode we are joined by comedian, Akeem Woods, We talk about the albino South African guy he's been DMing with, we talk about movies we haven't seen, but still, know what happened in them, and Akeem lists women that he thinks are attractive. FOLLOW AKEEM WOODS https://www.akeemwoods.com/ https://www.youtube.com/channel/UCBsn5adVarlScQrZGwv…
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#400: Ruff - The Fast, Rust-based Python Linter
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Our code quality tools (linters, test frameworks, and others) play an important role in keeping our code error free and conforming to the rules our teams have chosen. But when these tools become sluggish and slow down development, we often avoid running them or even turn them off. On this episode, we have Charlie Marsh here to introduce Ruff, a fas…
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On this episode of Talk Clearlyer, comedian Tre Stewart is back for round two. We talk about the pros and minuses of sex dolls, we break down how bad Tre's Detroit public school education was, and Wil gets us ready for Black History Month with another round of "who invented it". FOLLOW TRE STEWART https://www.instagram.com/trestewart1/?hl=en FOLLOW…
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Monorepos are contrary to how many of us have been taught to use source control. To start a project or app, the first thing we do is create a git repo for it. This leads to many focused and small repositories. A quick check of my GitHub account shows there are 179 non-fork repositories. That's a lot but I think many of us work that what.But it's no…
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Forrest Gump of Tragedies with Tre Stewart
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On this episode we are joined by comedian Tre Stewart. We talk about Geroge Santos lying about being gay and Jewish, Cipha talks about the craziest lie a woman ever told him, and Tre talks about growing up in Detroit and his childhood home getting broken into. FOLLOW TRE STEWART https://www.instagram.com/trestewart1/?hl=en FOLLOW THE SHOW http://th…
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#398: Imaging Black Holes with Python
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The iconic and first ever image of a black hole was recently released. It took over a decade of work and is a major achievement for astronomy and broadens our understanding of the universe for all of us. Would it surprise you to know that Python played a major part in this discovery? Of course it did, and Dr. Sara Issaoun is here to give us the ful…
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On this episode we are joined by comedian Ally Leftridge. we talk about the four waves of feminism, Ally getting attacked on a date, and one-night stands. FOLLOW ALLY LEFTRIDGE https://www.instagram.com/allyleftridge/?hl=en https://twitter.com/str8_jokes23 https://www.youtube.com/channel/UCiS6nLpk4qGRuBqIRWVcH1g FOLLOW THE SHOW http://thelaughbutto…
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#397: Evaluating New Open Source Tech Panel
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The beauty of open source software and libraries is that you're not stuck with a single option some vendor is offering. This is especially true when that support is poor and antiquated. Almost any capability you think of has multiple options even for a single language such as Python. Just think about how many web frameworks you can pick today.But t…
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On this episode of Talk Clearlyer, Cipha is back! He helps Wil with his time management skills, we discuss the correct way to wish someone a happy new year, and we talk about what went down between Andrew Tate and Greta Thunberg. FOLLOW THE SHOW http://thelaughbutton.podlink.to/talkclearlyer http://talkclearlyer.com https://twitter.com/talkclearlye…
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