`StringprepTablesReader` into a model that can be used at runtime.

This format is chosen to make it easy to validate that these tables are consistent with the RFC.

```
cd okhttp/src/test/resources/okhttp3/internal/idn/
ls rfc3454.*.txt | xargs -n 1 -I {} bash -c "echo {} ; cat {}" > okhttp_tables.txt
curl https://www.rfc-editor.org/rfc/rfc3454.txt > rfc3454.txt
diff rfc3454.txt okhttp_tables.txt | less

### Prerequisites for Local Testing

To run tests locally, follow these steps:

1.  Navigate to the relevant directory:
    ```
    cd ci/official/wheel_test
    ```
2.  Run a script for creating requirements file:
    ```
    bash update_requirements.sh <path_to_tensorflow_wheel> <python_version>
    e.g.:

- Login as user **‘spark’**.
- When the job runs, the library can now use **MinIO** during intermediate processing.
- Navigate to a node with the Spark client and access the spark2-client directory:

```
cd /usr/hdp/current/spark2-client
su spark
```

- Run the Apache Spark Pi job in yarn-client mode, using code from **org.apache.spark**:

```
./bin/spark-submit --class org.apache.spark.examples.SparkPi \

## For the release team

At the start of a release development cycle, the contents of `next` should be deleted
and replaced with those of `initial`. From the repo root:

    > cd doc
    > rm -r next/*
    > cp -r initial/* next

Then edit `next/1-intro.md` to refer to the next version.

To prepare the release notes for a release, run `golang.org/x/build/cmd/relnote generate`.

# Test Guide

```bash
cd tests
# prepare test databases
docker-compose up

# run all tests
./tests_all.sh

### 1. Download Prometheus

[Download the latest release](https://prometheus.io/download) of Prometheus for your platform, then extract it

```sh
tar xvfz prometheus-*.tar.gz
cd prometheus-*
```

Prometheus server is a single binary called `prometheus` (or `prometheus.exe` on Microsoft Windows). Run the binary and pass `--help` flag to see available options

```sh
./prometheus --help

The following commands show how to use the zip download:

    $ unzip fess-14.12.x.zip
    $ cd fess-14.12.x
    $ ./bin/fess

For more details, see the [Installation Guide](https://fess.codelibs.org/14.12/install/index.html).

### Docker

against a pending change. Search for "MLCI" internally to find it.

You may invoke a CI script of your choice by following these instructions:

```bash
cd tensorflow-git-dir

# Here is a single-line example of running a script on Linux to build the
# GPU version of TensorFlow for Python 3.12, using the public TF bazel cache and
# a local build cache: