const currentPage = dv.current().file;
const dailyPages = dv.pages('"0-Daily"').sort(k=>k.file.name, "asc");
const currentPageName = currentPage.name;
const index = dailyPages.findIndex((e) => {return e.file.name === currentPageName});
if (index < 1) {
dv.table(["File", "Created", "Size"],[]);
} else {
const lastIndex = index - 1;
const lastPage = dailyPages[lastIndex].file;
const allPages = dv.pages().values;
const searchPages = [];
const lastTime = dv.parse(lastPage.name);
const currentTime = dv.parse(currentPage.name);
for (let page of allPages) {
const pageFile = page.file;
if (pageFile.cday > lastTime && pageFile.cday <= currentTime) {
searchPages.push(pageFile);
}
}
dv.table(["File", "Created", "Size"], searchPages.sort((a, b) => a.ctime > b.ctime ? 1 : -1).map(b => [b.link, b.ctime, b.size]));
}
分布式数据流式处理
RisingWave is a distributed SQL streaming database. It is designed to reduce the complexity and cost of building stream processing applications. RisingWave consumes streaming data, performs incremental computations when new data comes in, and updates results dynamically. As a database system, RisingWave maintains results inside its own storage so that users can access data efficiently.
RisingWave 是一个分布式 SQL 流数据库。它旨在降低构建流处理应用程序的复杂性和成本。 RisingWave 消耗流数据，在新数据进入时执行增量计算，并动态更新结果。作为一个数据库系统，RisingWave 在自己的存储中维护结果，以便用户可以有效地访问数据。RisingWave offers wire compatibility with PostgreSQL and demonstrates exceptional performance surpassing the previous generation of stream processing systems, including Apache Flink, by several orders of magnitude. It particularly excels in handling complex stateful operations like multi-stream joins.
RisingWave 提供与 PostgreSQL 的线路兼容性，并表现出超越上一代流处理系统（包括 Apache Flink）的卓越性能几个数量级。它特别擅长处理复杂的有状态操作，例如多流连接。RisingWave ingests data from sources like Apache Kafka, Apache Pulsar, Amazon Kinesis, Redpanda, and materialized CDC sources. Data in RisingWave can be delivered to external targets such as message brokers, data warehouses, and data lakes for storage or additional processing.
RisingWave 从 Apache Kafka、Apache Pulsar、Amazon Kinesis、Redpanda 和物化 CDC 源等源获取数据。 RisingWave 中的数据可以传送到外部目标，例如消息代理、数据仓库和数据湖，以进行存储或额外处理。RisingWave 1.0 is a battle-tested version that has undergone rigorous stress tests and performance evaluations. It has proven its reliability and efficiency through successful deployments in numerous production environments across dozens of companies.
RisingWave 1.0是经过严格压力测试和性能评估的久经考验的版本。通过在数十家公司的众多生产环境中的成功部署，它已经证明了其可靠性和效率。
Run OpenAI’s Clip Model On IOS
GitHub - mazzzystar/Queryable: Run OpenAI’s CLIP model on iOS to search photos.
在 IOS 设备上运行 Clip 模型，图片查找，图片解释，识图
QR Code transfer
Text Generation Web UI
keyword: ui llm
web UI for running Large Language Models
GitHub - oobabooga/text-generation-webui: A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, OPT, and GALACTICA.