virtual void GetNameAttrList(
      tensorflow::NameAttrList* name_and_attrs) const = 0;

  virtual bool GetInt(absl::string_view, int64_t* result) const = 0;
  virtual bool GetFloat(absl::string_view attr_name, float* result) const = 0;
  virtual bool GetBool(absl::string_view attr_name, bool* result) const = 0;
  virtual bool GetType(absl::string_view attr_name, DataType* result) const = 0;
  virtual Status GetTypeList(

==============================================================================*/
#ifndef TENSORFLOW_C_EAGER_TFE_OP_ATTRS_INTERNAL_H_
#define TENSORFLOW_C_EAGER_TFE_OP_ATTRS_INTERNAL_H_

#include "tensorflow/c/conversion_macros.h"
#include "tensorflow/c/eager/abstract_op_attrs.h"
#include "tensorflow/c/tf_status.h"
#include "tensorflow/core/framework/attr_value.pb.h"

// An equivalent of a tensorflow::NameAttrList protocol buffer, but used in ways

                SmbConstants.FILE_NO_SHARE,
                attrs,
                0);
        }
        catch ( SmbAuthException sae ) {
            log.trace("copyTo0", sae);
            int dattrs = dest.getAttributes();
            if ( ( dattrs & SmbConstants.ATTR_READONLY ) != 0 ) {
                /*
                 * Remove READONLY and try again
                 */

  return op_->SetAttrInt(attr_name, value);
}
Status SetAttrFloat(AbstractOperation* op_, const char* attr_name, float value,
                    ForwardOperation* forward_op_) {
  forward_op_->attrs.Set(attr_name, value);
  return op_->SetAttrFloat(attr_name, value);
}
Status SetAttrBool(AbstractOperation* op_, const char* attr_name, bool value,

            long initialSize ) {
        this.cfg = cfg;
        this.fileId = fid;
        this.initialSize = initialSize;
        this.fid = 0;
        this.unc = unc;
        this.flags = flags;
        this.access = access;
        this.attrs = attrs;
        this.options = options;
        this.tree = tree.acquire();

  forward_op_.attrs.Set(attr_name, value);
  return parent_op_->SetAttrFloat(attr_name, value);
}
Status TapeOperation::SetAttrBool(const char* attr_name, bool value) {
  forward_op_.attrs.Set(attr_name, value);
  return parent_op_->SetAttrBool(attr_name, value);
}
Status TapeOperation::SetAttrType(const char* attr_name, DataType value) {
  forward_op_.attrs.Set(attr_name, value);

            try {
                int attrs = f.getAttributes() ^ SmbConstants.ATTR_ARCHIVE ^ SmbConstants.ATTR_HIDDEN ^ SmbConstants.ATTR_READONLY;
                if ( Boolean.parseBoolean(getProperties().getOrDefault("test.skip.hidden", "false")) ) {
                    attrs &= ~SmbConstants.ATTR_HIDDEN;
                }
                f.setAttributes(attrs);
                assertEquals(attrs, f.getAttributes());
            }

};

// TODO(vnvo2409): Add python test
class BiasAddGradientFunction : public GradientFunction {
 public:
  explicit BiasAddGradientFunction(AttrBuilder f_attrs)
      : forward_attrs_(f_attrs) {}

  Status Compute(AbstractContext* ctx,
                 absl::Span<AbstractTensorHandle* const> grad_outputs,
                 absl::Span<AbstractTensorHandle*> grad_inputs) override {

            final Attr attr = (Attr) attrs.item(i);
            buf.append(' ');
            appendAttr(attr, buf);
        }
    }

    /**
     * {@link Attr}の文字列表現を追加します。
     *
     * @param attr
     *            属性。{@literal null}であってはいけません
     * @param buf
     *            文字列バッファ。{@literal null}であってはいけません
     */
    public static void appendAttr(final Attr attr, final StringBuilder buf) {

		t.Errorf("user should be initialized with search value and assign attrs")
	}

	DB.Save(&User{Name: "find or init", Age: 33})
	DB.Where(&User{Name: "find or init"}).Attrs("age", 44).FirstOrInit(&user5)
	if user5.Name != "find or init" || user5.ID == 0 || user5.Age != 33 {
		t.Errorf("user should be found and not initialized by Attrs")
	}

	DB.Where(&User{Name: "find or init", Age: 33}).FirstOrInit(&user6)