task.setTitle("Gradle API " + version);

            Javadocs javadocs = extension.getJavadocs();

            // TODO: This should be part of Javadoc task
            task.getInputs().file(javadocs.getJavadocCss())
                .withPropertyName("stylesheetFile")
                .withPathSensitivity(PathSensitivity.NAME_ONLY);

def is_ppc64le():
  return platform.machine() == 'ppc64le'


def is_s390x():
  return platform.machine() == 's390x'


def is_cygwin():
  return platform.system().startswith('CYGWIN_NT')


def get_input(question):
  try:
    try:
      answer = raw_input(question)
    except NameError:
      answer = input(question)  # pylint: disable=bad-builtin
  except EOFError:
    answer = ''
  return answer

  for (mapping in mappings) {
    require(!mapping.spansSections)

    val section = mapping.section
    val rangeStart = mapping.rangeStart

    val sectionList = result.getOrPut(section) { mutableListOf() }

    sectionList +=
      when (mapping.type) {
        TYPE_MAPPED ->
          run {
            val deltaMapping = inlineDeltaOrNull(mapping)

    public Object convert(final TypeLiteral role, final String value) {
        if (value.trim().startsWith("<")) {
            try {
                final MXParser parser = new MXParser();
                parser.setInput(new StringReader(value));
                parser.nextTag();

                return parse(parser, role);
            } catch (final Exception e) {

                options.setSeparateOutputDirs(false);
                options.setBackends(singletonList("html5"));
            });

            // TODO: Break the paths assumed here
            TaskInputs inputs = task.getInputs();
            inputs.files(extension.getCssFiles())
                .withPropertyName("manual")
                .withPathSensitivity(PathSensitivity.RELATIVE);
            inputs.dir("src/main/resources")

}

extern int TFE_OpGetFlatInputCount(const TFE_Op* op, TF_Status* status) {
  return tensorflow::unwrap(op)->GetInputs().size();
}

extern TFE_TensorHandle* TFE_OpGetFlatInput(const TFE_Op* op, int index,
                                            TF_Status* status) {
  return tensorflow::wrap(tensorflow::unwrap(op)->GetInputs()[index]);
}

TF_AttrType TFE_OpGetAttrType(TFE_Op* op, const char* attr_name,

    enableTls()

    val testHandler =
      object : Handler() {
        val calls = mutableMapOf<String, AtomicInteger>()

        override fun publish(record: LogRecord) {
          calls.getOrPut(record.loggerName) { AtomicInteger(0) }
            .incrementAndGet()
        }

        override fun flush() {
        }

        override fun close() {
        }
      }.apply {

StringBuffer buffer; private String descriptorVersion; private String[] publicationsDefaultC; public void XmlModuleDescriptorP$Parser(org.apache.ivy.plugins.parser.ModuleDescriptorPars, org.apache.ivy.plugins.parser.ParserSettings); public final void setInput(java.net.URL); public final void setValidate(boolean); public final void parse(); public final void startElement(String, String, String, org.xml.sax.Attributes); private void mergeInfo(org.apache.ivy.core.module.descriptor.ModuleDescriptor); private...