fi

# Note: the profile can be viewed by visiting chrome://tracing in a Chrome browser.
# See https://docs.bazel.build/versions/main/skylark/performance.html#performance-profiling

        "profiler",
        defaultProfiler,
        display = ParameterDisplay.PROMPT,
        allowEmpty = false,
        description =
            "Command line option for the performance test task to enable profiling. " +
                "For example `async-profiler`, `async-profiler-heap`, `async-profiler-wall`, `async-profiler-all` or `jfr`. Use `none` for benchmarking only.",
    )
}

Let user processes read performance stuff:
```
sudo bash
echo 0 > /proc/sys/kernel/kptr_restrict
echo 1 > /proc/sys/kernel/perf_event_paranoid
exit
```

Grab the async profiler from https://github.com/jvm-profiling-tools/async-profiler
and run `prof async` like so:
```

    implementation(projects.documentation)
    implementation(projects.integrationTesting)
    implementation(projects.jvm)
    implementation(projects.performanceTesting)
    implementation(projects.profiling)
    implementation(projects.binaryCompatibility)
    implementation(projects.dependencyModules)

    implementation(buildLibs.codenarc) {
        exclude(group = "org.apache.groovy")

    /**
     * Construct a new <code>MojoFailureException</code> exception providing a message.
     *
     * @param message
     */
    public MojoFailureException(String message) {
        super(message);
    }

    /**
     * Construct a new <code>MojoFailureException</code> exception wrapping an underlying <code>Throwable</code>
     * and providing a <code>message</code>.
     *
     * @param message
     * @param cause

     * and providing a <code>message</code>.
     *
     * @param message
     * @param cause
     */
    public MojoExecutionException(String message, Exception cause) {
        super(message, cause);
    }

    /**
     * Construct a new <code>MojoExecutionException</code> exception wrapping an underlying <code>Throwable</code>
     * and providing a <code>message</code>.
     *

    }

    /**
     * Constructs a new {@code MojoException} wrapping an underlying {@code Throwable}
     * and providing a {@code message}.
     */
    public MojoException(String message, Throwable cause) {
        super(message, cause);
    }

    /**
     * Constructs a new {@code MojoException} providing a {@code message}.
     */
    public MojoException(String message) {
        super(message);
    }

    /**

This artifact can be resolved by the consumer project as shown in the example below:

```
dependencies {
  //add the test fixtures of `:providing-project` to testImplementation configuration.
  testImplementation(testArtifact(project(":fixture-providing-project')))
}
```

# CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

## Project Overview

curl4j is a simple cURL-like Java HTTP client library providing a fluent API for building HTTP requests. It's designed to be minimal with only Apache Commons IO as a dependency.

## Directory Structure

```
curl4j/
├── src/
│   ├── main/java/org/codelibs/curl/

kibana 7 settings for fess
=====

Providing example of kibana settings file for monitoring search logs of fess.

## Install

1. Install and launch Fess.
1. Install and launch kibana.
1. Go to kibana home [http://localhost:5601/](http://localhost:5601/).
1. Click **Management**.
1. Click **Index Patterns**.
1. Click **Create index pattern** button
1. Input "fess\_log\*" to the textbox of **index pattern**.
1. Click **Next step**.