string AttrView::DefaultValue() const {
  const AttrValue &attr_value = attr_.default_value();
  switch (attr_value.value_case()) {
    case AttrValue::VALUE_NOT_SET:
      return "";
    case AttrValue::kType:
      return DataType_Name(attr_value.type());
    case AttrValue::kS:
      return "\"" + attr_value.s() + "\"";
    case AttrValue::kI:
      return std::to_string(attr_value.i());
    case AttrValue::kF:

        String tag = "tag", id = "id", css = "css", attrName = "attrName", attrValue = "attrValue";
        PrunedTag prunedtag = new PrunedTag(tag);
        prunedtag.setAttr(attrName, attrValue);
        prunedtag.setId(id);
        prunedtag.setCss(css);
        assertEquals("PrunedTag [tag=" + tag + ", id=" + id + ", css=" + css + ", attrName=" + attrName + ", attrValue=" + attrValue + "]",
                prunedtag.toString());
    }

      return builder->getStringAttr(value.s());
    case AttrValue::kF:
      return builder->getFloatAttr(builder->getF32Type(), value.f());
    case AttrValue::kB:
      return builder->getBoolAttr(value.b());
    case AttrValue::kType: {
      mlir::Type type;
      TF_RETURN_IF_ERROR(ConvertDataType(value.type(), *builder, &type));
      return mlir::TypeAttr::get(type);
    }
    case AttrValue::kShape:

			break
		}
		e, ok := t.(xml.StartElement)
		if !ok || !strings.EqualFold(e.Name.Local, "meta") {
			continue
		}
		if attrValue(e.Attr, "name") != "go-import" {
			continue
		}
		if f := strings.Fields(attrValue(e.Attr, "content")); len(f) == 3 {
			imports = append(imports, metaImport{
				Prefix:   f[0],
				VCS:      f[1],
				RepoRoot: f[2],
			})
		}
	}

                && StringUtils.compare(attrValue, other.attrValue) == 0;
    }

    public void setId(final String id) {
        this.id = id;
    }

    public void setCss(final String css) {
        this.css = css;
    }

    public void setAttr(final String name, final String value) {
        this.attrName = name;
        this.attrValue = value;
    }

    @Override

namespace tensorflow {

using tsl::StatusOr;

// Converts non func AttrValue proto into an MLIR attribute. Func attribute is
// exclused in this function because the function might be renamed when the
// function definition is imported.
absl::StatusOr<mlir::Attribute> ConvertNonFuncAttributeValue(
    const AttrValue& value, mlir::Builder* builder);

// Converts all kinds of AttrValue proto into an MLIR attribute.

            scanner.next();
            StringBuilder attrValue = new StringBuilder();
            while (!scanner.isEmpty() && !scanner.lookingAt(quote)) {
                if (scanner.lookingAt(HTML_ENCODED_CHAR)) {
                    parseHtmlEncodedChar(attrValue);
                } else if (scanner.lookingAt(HTML_ENTITY)) {
                    parseHtmlEntity(attrValue);
                } else {

typedef struct TFE_Op TFE_Op;

namespace tensorflow {
DEFINE_CONVERSION_FUNCTIONS(tensorflow::AbstractOpAttrs, TFE_OpAttrs);

// Set an AttrValue on the op. Doesn't handle the list types.
void SetOpAttrValueScalar(TFE_Context* ctx, TFE_Op* op,
                          const tensorflow::AttrValue& default_value,
                          const char* attr_name, TF_Status* status);
}  // namespace tensorflow

  const string& base_type() const { return base_type_; }
  const AttrValue& default_value() const { return default_value_; }
  const bool is_list() const { return is_list_; }

 private:
  explicit AttrSpec(const OpDef::AttrDef& attr_def);

  string name_;
  string description_;
  string full_type_;
  string base_type_;
  AttrValue default_value_;
  bool is_list_;
};

}  // namespace generator

impl::NodeMatcherProperties Attr(std::pair<string, AttrValue> attrs);
impl::NodeMatcherProperties Attr(string name);

std::pair<string, AttrValue> AttrLiteralHelper(
    const std::pair<string, bool>& bool_attr);

std::pair<string, AttrValue> AttrLiteralHelper(
    const std::pair<string, absl::Span<const int>>& int_list_attr);

std::pair<string, AttrValue> AttrLiteralHelper(