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docs/tr/docs/index.md
--- "_Dürüst olmak gerekirse, inşa ettiğiniz şey gerçekten sağlam ve profesyonel görünüyor. Birçok açıdan **Hug**'ın olmasını istediğim şey tam da bu - böyle bir şeyi inşa eden birini görmek gerçekten ilham verici._"
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docs/uk/docs/index.md
--- "_Honestly, what you've built looks super solid and polished. In many ways, it's what I wanted **Hug** to be - it's really inspiring to see someone build that._" <div style="text-align: right; margin-right: 10%;">Timothy Crosley - <strong><a href="https://www.hug.rest/" target="_blank">Hug</a> creator</strong> <a href="https://news.ycombinator.com/item?id=19455465" target="_blank"><small>(ref)</small></a></div> ---
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docs/fr/docs/index.md
"_Honnêtement, ce que vous avez construit a l'air super solide et élégant. A bien des égards, c'est comme ça que je voulais que **Hug** soit - c'est vraiment inspirant de voir quelqu'un construire ça._" <div style="text-align: right; margin-right: 10%;">Timothy Crosley - <strong> Créateur de <a href="https://www.hug.rest/" target="_blank">Hug</a></strong> <a href="https://news.ycombinator.com/item?id=19455465" target="_blank"><small>(ref)</small></a></div> ---
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README.md
--- "_Honestly, what you've built looks super solid and polished. In many ways, it's what I wanted **Hug** to be - it's really inspiring to see someone build that._" <div style="text-align: right; margin-right: 10%;">Timothy Crosley - <strong><a href="https://www.hug.rest/" target="_blank">Hug</a> creator</strong> <a href="https://news.ycombinator.com/item?id=19455465" target="_blank"><small>(ref)</small></a></div> ---
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docs/en/docs/async.md
* **Machine Learning**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time. * **Deep Learning**: this is a sub-field of Machine Learning, so, the same applies. It's just that there is not a single spreadsheet of numbers to multiply, but a huge set of them, and in many cases, you use a special processor to build and / or use those models.
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docs/em/docs/index.md
--- "_🤙, ⚫️❔ 👆 ✔️ 🏗 👀 💎 💠 & 🇵🇱. 📚 🌌, ⚫️ ⚫️❔ 👤 💚 **🤗** - ⚫️ 🤙 😍 👀 👱 🏗 👈._" <div style="text-align: right; margin-right: 10%;">✡ 🗄 - <strong><a href="https://www.hug.rest/" target="_blank">🤗</a> 👼</strong> <a href="https://news.ycombinator.com/item?id=19455465" target="_blank"><small>(🇦🇪)</small></a></div> ---
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ChangeLog.md
- [`KT-58684`](https://youtrack.jetbrains.com/issue/KT-58684) KJS: ES15 classes — creating instance by class #### Performance Improvements - [`KT-58187`](https://youtrack.jetbrains.com/issue/KT-58187) KJS / IR: Huge performance bottleneck while generating sourceMaps (getCannonicalFile) #### Fixes
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docs/de/docs/alternatives.md
!!! check "Inspirierte **FastAPI**" Wege zu finden, eine großartige Performanz zu erzielen. Zusammen mit Hug (da Hug auf Falcon basiert), einen `response`-Parameter in Funktionen zu deklarieren.
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docs/fr/docs/alternatives.md
!!! check "A inspiré **FastAPI** à" Trouver des moyens d'obtenir de bonnes performances.
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docs/en/docs/alternatives.md
### <a href="https://www.hug.rest/" class="external-link" target="_blank">Hug</a> Hug was one of the first frameworks to implement the declaration of API parameter types using Python type hints. This was a great idea that inspired other tools to do the same. It used custom types in its declarations instead of standard Python types, but it was still a huge step forward.
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