if err := DB.Migrator().DropTable(table); err != nil {
				t.Fatalf("failed to drop table, got error: %v", err)
			}
			if err := DB.Table(table).AutoMigrate(test.from); err != nil {
				t.Fatalf("failed to migrate table, got error: %v", err)
			}
			if err := DB.Table(table).AutoMigrate(test.to); err != nil {
				t.Fatalf("failed to migrate table, got error: %v", err)
			}
			test.checkFunc(t)
		})

/// TensorFlow checks that the plugin supplies all mandatory operations and
/// then copies these tables to a different memory location, marking the new
/// operation tables as read-only. Once a plugin is loaded, none of these
/// operation pointers may change.
///
/// There are 4 function tables: one for each of the 3 file objects in
/// TensorFlow (i.e., `RandomAccessFile`, `WritableFile`,

	}
	for _, testCase := range table2 {
		q1 := Quantity{d: infDecAmount{testCase.x}, Format: DecimalSI}
		q2 := Quantity{d: infDecAmount{testCase.y}, Format: DecimalSI}
		if result := q1.Cmp(q2); result != testCase.expect {
			t.Errorf("X: %v, Y: %v, Expected: %v, Actual: %v", testCase.x, testCase.y, testCase.expect, result)
		}
	}
}

func TestParseQuantityString(t *testing.T) {
	table := []struct {

}
table.borderless > caption,
table.plain > caption,
table.striped > caption {
    font-weight: bold;
    font-size: smaller;
}
table.borderless th, table.borderless td,
table.plain th, table.plain td,
table.striped th, table.striped td {
    padding: 2px 5px;
}
table.borderless,
table.borderless > thead > tr > th, table.borderless > tbody > tr > th, table.borderless > tr > th,

		return ABNEZ
	case ABGE:
		return ABLT
	case ABGEU:
		return ABLTU
	case ABGEZ:
		return ABLTZ
	case ABGT:
		return ABLE
	case ABGTU:
		return ABLEU
	case ABGTZ:
		return ABLEZ
	case ABLE:
		return ABGT
	case ABLEU:
		return ABGTU
	case ABLEZ:
		return ABGTZ
	case ABLT:
		return ABGE
	case ABLTU:
		return ABGEU
	case ABLTZ:
		return ABGEZ
	case ABNE:

</tr>
</tbody>
</table> </td>
</tr>
</tbody>
</table> </td>
</tr>
</tbody>
</table> </td>
</tr>
<tr>
<td colspan="2" align="left" height="12" style="height:12px;padding:0;margin:0;line-height:1px;font-size:1px;">&nbsp;</td>
</tr>
<!-- End user identity -->

      tags: Collection[str],
      signature_def_key: str,
  ) -> Tuple[Mapping[str, core.Tensor], Mapping[str, core.Tensor]]:
    """Creates and saves a model that uses a file-initialized table.

    The asset file "vocab_file.txt" is used to initialize a hash table.

    Args:
      output_path: Path to the directory to save the created model.
      tags: Set of strings that identifies the saved meta graph.

}

// writelines collects up and chains together the symbols needed to
// form the DWARF line table for the specified compilation unit,
// returning a list of symbols. The returned list will include an
// initial symbol containing the line table header and prologue (with
// file table), then a series of compiler-emitted line table symbols
// (one per live function), and finally an epilog symbol containing an

	vid   ID
	limit limit
}

// factsTable keeps track of relations between pairs of values.
//
// The fact table logic is sound, but incomplete. Outside of a few
// special cases, it performs no deduction or arithmetic. While there
// are known decision procedures for this, the ad hoc approach taken
// by the facts table is effective for real code while remaining very
// efficient.
type factsTable struct {

	m.SetContinue("continuetoken")
	m.SetResourceVersion("11")

	table, err := t.storage.(rest.TableConvertor).ConvertToTable(ctx, listObj, nil)
	if err != nil {
		t.Errorf("unexpected error: %v", err)
	}
	if table.ResourceVersion != "11" || table.Continue != "continuetoken" {
		t.Errorf("printer lost list meta: %#v", table.ListMeta)
	}
	if len(table.Rows) != len(items) {