return nil, err
	}

	dst = append(dst, xlHeader[:]...)
	dst = append(dst, xlVersionCurrent[:]...)
	// Add "bin 32" type header to always have enough space.
	// We will fill out the correct size when we know it.
	dst = append(dst, 0xc6, 0, 0, 0, 0)
	dataOffset := len(dst)

	dst = msgp.AppendUint(dst, xlHeaderVersion)
	dst = msgp.AppendUint(dst, xlMetaVersion)
	dst = msgp.AppendInt(dst, len(x.versions))

							<dst>/etc/default/fess</dst>
							<mapper>
								<type>perm</type>
								<user>root</user>
								<group>root</group>
							</mapper>
						</data>
						<!-- Add init.d files -->
						<data>
							<type>file</type>
							<src>${project.build.directory}/generated-packaging/deb/init.d/fess</src>
							<dst>/etc/init.d/fess</dst>
							<mapper>

	dstBuf := new(bytes.Buffer)
	dst := NewWriter(dstBuf)
	for i := 0; i < b.N; i++ {
		srcBuf.Reset()
		dstBuf.Reset()
		dst.Reset(dstBuf)
		io.Copy(dst, src)
	}
}

func BenchmarkWriterCopyUnoptimal(b *testing.B) {
	srcBuf := bytes.NewBuffer(make([]byte, 8192))
	src := onlyReader{srcBuf}
	dstBuf := new(bytes.Buffer)
	dst := NewWriter(onlyWriter{dstBuf})

// replaced with `dst`. `src_name` refers to a node in the graph to be imported,
// `dst` references a node already existing in the graph being imported into.
// `src_name` is copied and has no lifetime requirements.
TF_CAPI_EXPORT extern void TF_ImportGraphDefOptionsAddInputMapping(
    TF_ImportGraphDefOptions* opts, const char* src_name, int src_index,
    TF_Output dst);

		// avoid healing such objects in this manner, let
		// it heal during the regular scanner cycle.
		dst := []byte{}
		for _, ver := range xlMeta.versions {
			dst = slices.Grow(dst, 16)
			copy(dst[len(dst):], ver.header.VersionID[:])
		}
		res.Sign = dst
	}

	newDstBuf, err := xlMeta.AppendTo(metaDataPoolGet())
	defer metaDataPoolPut(newDstBuf)
	if err != nil {

      src.flat<tstring>()(i) = data[i];
    }
    TF_Tensor* dst = TF_TensorFromTensor(src, &status);
    ASSERT_TRUE(status.ok()) << status.message();

    // Convert back to a C++ Tensor and ensure we get expected output.
    Tensor output;
    ASSERT_EQ(absl::OkStatus(), TF_TensorToTensor(dst, &output)) << line;
    ASSERT_EQ(src.NumElements(), output.NumElements()) << line;

	AssertEqual(t, nil, err)
	AssertEqual(t, "integer[]", ct.DatabaseTypeName())
}

type mockMigrator struct {
	gorm.Migrator
}

func (mm mockMigrator) AlterColumn(dst interface{}, field string) error {
	err := mm.Migrator.AlterColumn(dst, field)
	if err != nil {
		return err
	}
	return fmt.Errorf("trigger alter column error, field: %s", field)
}

func TestMigrateDonotAlterColumn(t *testing.T) {

  }
  return v;
}

// Specification for an expected edge.
// src is either:
// - input name (as it appears in FunctionDef)
// - name of output tensor (in nested "add:z:0" format)
// dst is either:
// - output name (as it appears in FunctionDef)
// - <name_of_node>:<index_of_this_input_into_node> (this looks the same as
//      output tensor naming, but it the index is actually an input index)