override fun describeTo(description: Description) {
          description.appendText(platform)
        }

        override fun matches(item: Any?): Boolean = getPlatformSystemProperty() == platform
      }

    fun fromMajor(version: Int): Matcher<PlatformVersion> =
      object : TypeSafeMatcher<PlatformVersion>() {
        override fun describeTo(description: Description) {

    object : BaseMatcher<Long?>() {
      override fun describeTo(description: Description?) {
        description!!.appendText("> $value")
      }

      override fun matches(o: Any?): Boolean = (o as Long?)!! > value
    }

  private fun matchesProtocol(protocol: Protocol?): Matcher<Response?> =
    object : BaseMatcher<Response?>() {
      override fun describeTo(description: Description?) {

A job is the basic unit of work for MinIO Batch Job. A job is a self describing YAML, once this YAML is submitted and evaluated - MinIO performs the requested actions on each of the objects obtained under the described criteria in job YAML file.

### Type
Type describes the job type, such as replicating objects between MinIO sites. Each job performs a single type of operation across all objects that match the job description criteria.

## Batch Jobs via Commandline

      "description": "feature request"
    },
    "invalid_question": {
      "name": "type:invalid question",
      "colour": "#CF2E1F",
      "description": "invalid question (not related to GORM or described in document or not enough information provided)"
    },
    "with_playground": {
      "name": "type:with reproduction steps",
      "colour": "#00ff00",
      "description": "with reproduction steps"
    },

# Vulnerability Management Policy

This document formally describes the process of addressing and managing a
reported vulnerability that has been found in the MinIO server code base,
any directly connected ecosystem component or a direct / indirect dependency
of the code base.

## Scope

The vulnerability management policy described in this document covers the
process of investigating, assessing and resolving a vulnerability report

          <name>licenses</name>
          <version>3.0.0+</version>
          <description>
            <![CDATA[
            This element describes all the licenses for this project.
            Each license is described by a {@code license} element, which
            is then described by additional elements.
            Projects should only list the license(s) that applies to the project

//// tab | Pydantic v2

In Pydantic version 2, you would use the attribute `model_config`, that takes a `dict` as described in <a href="https://docs.pydantic.dev/latest/api/config/" class="external-link" target="_blank">Pydantic's docs: Configuration</a>.

# Using TensorFlow Securely

This document discusses the TensorFlow security model. It describes the security
risks to consider when using models, checkpoints or input data for training or
serving. We also provide guidelines on what constitutes a vulnerability in
TensorFlow and how to report them.

This document applies to other repositories in the TensorFlow organization,
covering security practices for the entirety of the TensorFlow ecosystem.

	}
}

// minioCollector is the Custom Collector
type minioCollector struct {
	desc *prometheus.Desc
}

// Describe sends the super-set of all possible descriptors of metrics
func (c *minioCollector) Describe(ch chan<- *prometheus.Desc) {
	ch <- c.desc
}

// Collect is called by the Prometheus registry when collecting metrics.

  public static final MediaType HTML_UTF_8 = createConstantUtf8(TEXT_TYPE, "html");
  public static final MediaType I_CALENDAR_UTF_8 = createConstantUtf8(TEXT_TYPE, "calendar");

  /**
   * As described in <a href="https://www.rfc-editor.org/rfc/rfc7763.html">RFC 7763</a>, this
   * constant ({@code text/markdown}) is used for Markdown documents.
   *
   * @since 33.3.0
   */