//   - the marker length "\x00\x0c",
//   - the number of components "\x03",
//   - component 1 uses DC table 0 and AC table 0 "\x01\x00",
//   - component 2 uses DC table 1 and AC table 1 "\x02\x11",
//   - component 3 uses DC table 1 and AC table 1 "\x03\x11",
//   - the bytes "\x00\x3f\x00". Section B.2.3 of the spec says that for

		return fmt.Errorf("fakedb: create table of %q len(names) != len(types): %d vs %d",
			name, len(columnNames), len(columnTypes))
	}
	db.tables[name] = &table{colname: columnNames, coltype: columnTypes}
	return nil
}

// must be called with db.mu lock held
func (db *fakeDB) table(table string) (*table, bool) {
	if db.tables == nil {
		return nil, false
	}
	t, ok := db.tables[table]
	return t, ok
}

}

// The data structure for decoding Huffman tables is based on that of
// zlib. There is a lookup table of a fixed bit width (huffmanChunkBits),
// For codes smaller than the table width, there are multiple entries
// (each combination of trailing bits has the same value). For codes
// larger than the table width, the table contains a link to an overflow
// table. The width of each entry in the link table is the maximum code
// size minus the chunk width.

            'flexmark-ext-gfm-tasklist', 'flexmark-ext-wikilink', 'flexmark-ext-yaml-front-matter', 'liqp', 'jsoup', 'jackson-dataformat-yaml',
            'flexmark-util', 'flexmark-formatter', 'autolink-0.6', 'flexmark-jira-converter', 'antlr-3', 'jackson-annotations', 'jackson-core',

		if v != 0 {
			return false
		}
	}
	return true
}

type profileMerger struct {
	p *Profile

	// Memoization tables within a profile.
	locationsByID locationIDMap
	functionsByID map[uint64]*Function
	mappingsByID  map[uint64]mapInfo

	// Memoization tables for profile entities.
	samples   map[sampleKey]*Sample
	locations map[locationKey]*Location
	functions map[functionKey]*Function

An ORM has tools to convert ("*map*") between *objects* in code and database tables ("*relations*").

With an ORM, you normally create a class that represents a table in a SQL database, each attribute of the class represents a column, with a name and a type.

For example a class `Pet` could represent a SQL table `pets`.

And each *instance* object of that class represents a row in the database.

// A p256Table holds the first 15 multiples of a point at offset -1, so [1]P
// is at table[0], [15]P is at table[14], and [0]P is implicitly the identity
// point.
type p256Table [15]*P256Point

// Select selects the n-th multiple of the table base point into p. It works in
// constant time by iterating over every entry of the table. n must be in [0, 15].
func (table *p256Table) Select(p *P256Point, n uint8) {
	if n >= 16 {

// native TFLite variables or not.
std::unique_ptr<OperationPass<ModuleOp>> CreateAnalyzeVariablesPass();

// Creates a pass which is responsible for legalizing TensorFlow static hash
// tables to TensorFlow Lite hash tables.
std::unique_ptr<OperationPass<ModuleOp>> CreateLegalizeHashTablesPass();

// Creates get arithmetic count pass, which will calculate the arithmetic count
// for each ops.

	return q
}

// A {{.p}}Table holds the first 15 multiples of a point at offset -1, so [1]P
// is at table[0], [15]P is at table[14], and [0]P is implicitly the identity
// point.
type {{.p}}Table [15]*{{.P}}Point

// Select selects the n-th multiple of the table base point into p. It works in
// constant time by iterating over every entry of the table. n must be in [0, 15].
func (table *{{.p}}Table) Select(p *{{.P}}Point, n uint8) {

										Column: clause.Column{Table: parentTableName, Name: ref.PrimaryKey.DBName},
										Value:  clause.Column{Table: tableAliasName, Name: ref.ForeignKey.DBName},
									}
								} else {
									if ref.PrimaryValue == "" {
										exprs[idx] = clause.Eq{
											Column: clause.Column{Table: parentTableName, Name: ref.ForeignKey.DBName},
											Value:  clause.Column{Table: tableAliasName, Name: ref.PrimaryKey.DBName},