[亞洲無碼] [亞洲無碼] ☀️前后齐插☀️前后齐插3p完美女神 第一次3p,光听对话就老刺激了 单男热火朝天的在老公面前干着，绿老公还在旁边配音

【影片名称】：☀️前后齐插☀️前后齐插3p完美女神 第一次3p,光听对话就老刺激了 单男热火朝天的在老公面前干着，绿老公还在旁边配音
【影片格式】：MP4
【影片大小】：434M
【影片时间】：18:27
【影片说明】：无码
【下載地址】：https://www.77file.com/s/CYJV07FtqqX
【解压密码】：1024
【影片截图】：







【解压密码】：1024【下載地址】：https://www.77file.com/s/CYJV07FtqqX

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[杂谈]这破禁言什么鬼

国服开服就4级，竞技里坦辅c都玩，没掉下去过。平时不打字，语音里报残血报大招，队友吵架我就屏蔽聊天退语音。

昨天没打过字。今天就打过一次字，家里安娜叫摩西宝宝，我问他为什么不玩摩西。[s:a2:不明觉厉]

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NVIDIA Makes PhysX & Flow GPU Code Open-Source

As a win for the open-source community from NVIDIA, the company recently announced they are making their PhysX and Flow GPU-accelerated source code open-source.

NVIDIA previously made the PhysX SDK open-source but the GPU simulation kernel source code was not included as part of that years-old effort. But now it's changing for the better.

NVIDIA engineer Adam Moravanszky recently announced on GitHub:
"Since the release of PhysX SDK 4.0 in December 2018, NVIDIA PhysX has been available as open source under the BSD-3 license—with one key exception: the GPU simulation kernel source code was not included.

That changes today.

We’re excited to share that the latest update to the PhysX SDK now includes all the GPU source code, fully licensed under BSD-3!

With over 500 CUDA kernels powering features such as rigid body dynamics, fluid simulation, and deformable objects, GPU PhysX represents one of the most advanced real-time simulation use cases of CUDA and GPU programming. We hope this release will be a valuable resource for learning, experimentation, and development across the community.

In addition, we’re also open-sourcing the full GPU compute shader implementation of the Flow SDK, our real-time, sparse grid–based fluid simulation library.

We can’t wait to see what you build with it. Explore, experiment—and feel free to post issues or feedback right here on GitHub!"

Quite a nice and exciting open-source milestone from NVIDIA! Kudos to them for opening up this code.

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我参考 VSCode 设计了一个多层级配置框架，专为框架开发者设计

Zeeland4v:

作为框架开发者，最近我在开发 promptulate 和 gcop 的遇到过以下问题：

  1. 用户需要在多个项目中使用你的框架，但每个项目的配置都不一样（比如不同的 API Key 、模型参数等）
  2. 手写配置合并逻辑，要考虑默认值、用户全局配置、项目配置的覆盖关系
  3. 配置值类型不安全，需要手动转换/验证

我参考了 VSCode 的配置系统设计了 Conftier ，让框架开发者可以像 VSCode 一样优雅地处理配置。

实际场景举例

假设你在开发一个 AI 框架：

# 框架开发者：定义配置结构
class OpenAIConfig(BaseModel):
    api_key: str = ""
    model: str = "gpt-4"
    temperature: float = 0.7

# 用户：设置全局 API Key (~/.zeeland/myai/config.yaml)
api_key: "sk-xxx"

# 用户：项目特定配置 (./.myai/config.yaml)
model: "gpt-3.5-turbo"  # 这个项目用不同的模型
temperature: 0.5  # 调整参数

Conftier 会自动处理配置的加载、合并、类型转换，框架开发者只需要专注业务逻辑。

主要特性

  • 像 VSCode 一样的多层级配置：默认值 -> 用户配置 -> 项目配置
  • 支持 Pydantic ，配置类型安全 + IDE 自动补全
  • 内置 CLI 工具，用户可以方便地管理配置
  • 自动合并配置，不用手写合并逻辑

文档： https://conftier.zeeland.top GitHub： https://github.com/Undertone0809/conftier

如果你正在开发框架，欢迎试用和提建议，欢迎 star ⭐️

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