return -1, -1, -1
	}
	var namebuf [1024]byte
	sz := int32(copy(namebuf[:], path))
	A2e(namebuf[:sz])
	attr_sz := uint32(unsafe.Sizeof(*attr))
	var parms [7]unsafe.Pointer
	parms[0] = unsafe.Pointer(&sz)
	parms[1] = unsafe.Pointer(&namebuf[0])
	parms[2] = unsafe.Pointer(&attr_sz)
	parms[3] = unsafe.Pointer(attr)
	parms[4] = unsafe.Pointer(&rv)
	parms[5] = unsafe.Pointer(&rc)
	parms[6] = unsafe.Pointer(&rn)

  std::srand(0);
  for (auto fn : module->getOps<mlir::func::FuncOp>()) {
    for (auto& bb : fn) {
      for (auto& inst : bb) {
        auto attr_id = mlir::StringAttr::get(context, "value");
        if (auto attr = inst.getAttrOfType<mlir::ElementsAttr>(attr_id)) {
          mlir::Attribute rand_val;
          mlir::Type element_type = attr.getShapedType().getElementType();

                      'errors': str(error_count),
                      'failures': str(failure_count)}
    suite_attrib = attrib.copy()
    suite_attrib.update(suite_specific)
    testsuites.attrib = suite_attrib
    testsuite.attrib = suite_attrib
    indent_xml(testsuites)

  tree = ElemTree.ElementTree(testsuites)
  file_path = os.path.join(output_path)
  with open(file_path, 'wb') as f:

        given:
        pom.coordinates.groupId.set('group-ぴ₦ガき∆ç√∫')
        pom.coordinates.artifactId.set('artifact-<tag attrib="value"/>-markup')
        pom.coordinates.version.set('version-&"')

        expect:
        with (xml) {
            groupId == 'group-ぴ₦ガき∆ç√∫'
            artifactId == 'artifact-<tag attrib="value"/>-markup'
            version == 'version-&"'
        }

        where:

        descriptor.coordinates.organisation.set('org-ぴ₦ガき∆ç√∫')
        descriptor.coordinates.module.set('module-<tag attrib="value"/>-markup')
        descriptor.coordinates.revision.set('version-&"')

        then:
        with (ivyXml) {
            info.@organisation == 'org-ぴ₦ガき∆ç√∫'
            info.@module == 'module-<tag attrib="value"/>-markup'
            info.@revision == 'version-&"'
        }
    }

                       .getLeafReference()
                       .getValue());
    // Remove the attribute from the instruction as it is already converted to
    // op_name.
    auto attr_id = mlir::StringAttr::get(inst->getContext(), "f");
    inst->removeAttr(attr_id);
  } else {
    // Some control flow ops in TensorFlow Graph have their respective "Ref" ops
    // as well. For example there is Enter and RefEnter op. RefEnter forwards

LogicalResult ConvertToI32Attr(IntegerAttr attr, IntegerAttr* attr_i32) {
  if (attr.getType().isInteger(/*width=*/32)) {
    *attr_i32 = attr;
    return success();
  }

  int64_t value = attr.getInt();
  if (value > std::numeric_limits<int>::max() ||
      value < std::numeric_limits<int>::min()) {
    return failure();
  }

  *attr_i32 = IntegerAttr::get(

        string_attr.getValue() == kNullAttributeValue) {
      continue;
    }

    if (std::find_if(
            attr_to_op_map.begin(), attr_to_op_map.end(), [&](auto attr_op) {
              return std::get<0>(attr_op).getName() == attribute.getName();
            }) == attr_to_op_map.end()) {
      emitError(UnknownLoc::get(&context),
                "Could not find attribute: " + attribute.getName().str());

LogicalResult ConvertToI32Attr(IntegerAttr attr, IntegerAttr* attr_i32) {
  if (attr.getType().isInteger(/*width=*/32)) {
    *attr_i32 = attr;
    return success();
  }

  int64_t value = attr.getInt();
  if (value > std::numeric_limits<int>::max() ||
      value < std::numeric_limits<int>::min()) {
    return failure();
  }

  *attr_i32 = IntegerAttr::get(

    /**
     * Return the attributes of this file. Attributes are represented as a
     * bitset that must be masked with <tt>ATTR_*</tt> constants to determine
     * if they are set or unset. The value returned is suitable for use with
     * the <tt>setAttributes()</tt> method.
     *
     * @return the <tt>ATTR_*</tt> attributes associated with this file
     * @throws CIFSException
     */
    int getAttributes () throws CIFSException;