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  1. README.md

    Development for branch 8x remains in the shared repository:
    
    - https://gitbox.apache.org/repos/asf/lucene-solr.git
    
    ## GitHub forks?
    
    If you are using GitHub, make a clone of the corresponding repository
    mirror and create your pull requests against the main branch:
    
    - Lucene: <https://github.com/apache/lucene>
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  2. docs/metrics/prometheus/README.md

    [Prometheus](https://prometheus.io) is a cloud-native monitoring platform. Prometheus offers a multi-dimensional data model with time series data identified by metric name and key/value pairs. The data collection happens via a pull model over HTTP/HTTPS. Users looking to monitor their MinIO instances can point Prometheus configuration to scrape data from following endpoints. 
    
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  3. docs/distributed/README.md

    > **NOTE:** **Each pool you add must have the same erasure coding parity configuration as the original pool, so the same data redundancy SLA is maintained.**
    
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  4. docs/logging/README.md

    NOTE:
    
    - `timeToFirstByte` and `timeToResponse` will be expressed in Nanoseconds.
    - Additionally in the case of the erasure coded setup `tags.objectErasureMap` provides per object details about
      - Pool number the object operation was performed on.
      - Set number the object operation was performed on.
      - The list of drives participating in this operation belong to the set.
    
    ```json
    {
      "version": "1",
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  5. ci/official/README.md

        -   Uses `pycpp.sh`, `code_check_changed_files.sh`
    
    These "env" files match up with an environment matrix that roughly covers:
    
    -   Different Python versions
    -   Linux, MacOS, and Windows machines (these pool definitions are internal)
    -   x86 and arm64
    -   CPU-only, or with NVIDIA CUDA support (Linux only), or with TPUs
    
    ## How to Test Your Changes to TensorFlow
    
    You may check how your changes will affect TensorFlow by:
    
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