override fun execute(context: ComponentMetadataContext) {
        context.details.allVariants {
            withDependencies {
                filter { it.group == "xml-apis" }.forEach {
                    it.version { require("1.4.01") }
                    it.because("Gradle has trouble with the versioning scheme and pom redirects in higher versions")
                }
            }
        }
    }
}

  private Iterator<? extends ByteSource> it;
  @CheckForNull private InputStream in;

  /**
   * Creates a new instance.
   *
   * @param it an iterator of I/O suppliers that will provide each substream
   */
  public MultiInputStream(Iterator<? extends ByteSource> it) throws IOException {
    this.it = checkNotNull(it);
    advance();
  }

  @Override

    Sending a body with a `GET` request has an undefined behavior in the specifications, nevertheless, it is supported by FastAPI, only for very complex/extreme use cases.

    As it is discouraged, the interactive docs with Swagger UI won't show the documentation for the body when using `GET`, and proxies in the middle might not support it.

## Import Pydantic's `BaseModel`

First, you need to import `BaseModel` from `pydantic`:

     * @param pairs
     * @param type
     */
    public static void remove ( List<AvPair> pairs, int type ) {
        Iterator<AvPair> it = pairs.iterator();
        while ( it.hasNext() ) {
            AvPair p = it.next();
            if ( p.getType() == type ) {
                it.remove();
            }
        }
    }


    /**
     * Replace all occurances of the given type
     * 

The result of calling it is something that can be encoded with the Python standard <a href="https://docs.python.org/3/library/json.html#json.dumps" class="external-link" target="_blank">`json.dumps()`</a>.

It doesn't return a large `str` containing the data in JSON format (as a string). It returns a Python standard data structure (e.g. a `dict`) with values and sub-values that are all compatible with JSON.

!!! note

// This file is part of MinIO Object Storage stack
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful
// but WITHOUT ANY WARRANTY; without even the implied warranty of

        val topLevelFunctionalTests = topLevelCoverage
            .map { FunctionalTest(model, it.asConfigurationId(model), it.asName(), it.asName(), it, stage = stage) }
        topLevelFunctionalTests.forEach(this::buildType)

        val functionalTestProjects = allCoverage.map { testCoverage -> FunctionalTestProject(model, functionalTestBucketProvider, testCoverage, stage) }

//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful
// but WITHOUT ANY WARRANTY; without even the implied warranty of

TensorFlow server (`tf.train.Server`). The TensorFlow server is intended for
internal communication only. It is not built for use in untrusted environments
or networks.

For performance reasons, the default TensorFlow server does not include any
authorization protocol and sends messages unencrypted. It accepts connections
from anywhere, and executes the graphs it is sent without performing any checks.

    void addSubClass(ClassDoc subClass) {
        subClasses.add(subClass)
    }
    ClassDoc mergeContent() {
        classProperties.sort { it.name }
        classMethods.sort { it.metaData.overrideSignature }
        classBlocks.sort { it.name }
        classExtensions.sort { it.pluginId }
        return this
    }

    String getStyle() {
        return classMetaData.groovy ? 'groovydoc' : 'javadoc'
    }