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  1. docs/em/docs/tutorial/dependencies/dependencies-with-yield.md

    🔁 🛠️ 🌅 ⚖️ 🌘 💖 👉 📊. 🕰 💧 ⚪️➡️ 🔝 🔝. & 🔠 🏓 1️⃣ 🍕 🔗 ⚖️ 🛠️ 📟.
    
    ```mermaid
    sequenceDiagram
    
    participant client as Client
    participant handler as Exception handler
    participant dep as Dep with yield
    participant operation as Path Operation
    participant tasks as Background tasks
    
        Note over client,tasks: Can raise exception for dependency, handled after response is sent
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  2. SUPPORT.md

    - For in-depth information about how to use Istio, visit [istio.io](https://istio.io)
    - To ask questions and get assistance from our community, visit [GitHub Discussions](https://github.com/istio/istio/discussions)
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  3. okhttp/src/main/kotlin/okhttp3/Authenticator.kt

     * the proxy. This proxy connection is called a "TLS Tunnel" and is specified by
     * [RFC 2817][1]. The HTTP CONNECT request that creates this tunnel connection is special: it
     * does not participate in any [interceptors][Interceptor] or [event listeners][EventListener]. It
     * doesn't include the motivating request's HTTP headers or even its full URL; only the target
     * server's hostname is sent to the proxy.
     *
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  4. README.md

    - For in-depth information about how to use Istio, visit [istio.io](https://istio.io)
    - To ask questions and get assistance from our community, visit [Github Discussions](https://github.com/istio/istio/discussions)
    - To learn how to participate in our overall community, visit [our community page](https://istio.io/about/community)
    
    In this README:
    
    - [Introduction](#introduction)
    - [Repositories](#repositories)
    - [Issue management](#issue-management)
    
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  5. docs/distributed/DESIGN.md

    uniform distribution across nodes*. This is to ensure that same number of drives are pariticipating in any erasure set. For example if you have 2 nodes with 180 drives then GCD is 15 but this would lead to uneven distribution, one of the nodes would participate more drives. To avoid this the affinity is given towards nodes which leads to next best GCD factor of 12 which provides uniform distribution.
    
    - In this algorithm, we also make sure that we spread the drives out evenly. MinIO server expands...
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  6. docs/distributed/README.md

    - **MinIO chooses the largest EC set size which divides into the total number of drives or total number of nodes given - making sure to keep the uniform distribution i.e each node participates equal number of drives per set**.
    - **Each object is written to a single EC set, and therefore is spread over no more than 16 drives.**
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