final case class Generated(byPriority: Array[Int]) extends MinimizerSource with Product with Serializable
Programmatially generated minimizers. Will be used in the given order if minimizerOrder = Given is used
- byPriority
the minimizers in the given order.
Linear Supertypes
Ordering
- Alphabetic
- By Inheritance
Inherited
- Generated
- Serializable
- Serializable
- Product
- Equals
- MinimizerSource
- AnyRef
- Any
- Hide All
- Show All
Visibility
- Public
- All
Instance Constructors
-
new
Generated(byPriority: Array[Int])
- byPriority
the minimizers in the given order.
Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
- val byPriority: Array[Int]
-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native() @IntrinsicCandidate()
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @IntrinsicCandidate()
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
def
load(k: Int, m: Int)(implicit spark: SparkSession): Array[Int]
Obtain the encoded minimizers in order
Obtain the encoded minimizers in order
- Definition Classes
- Generated → MinimizerSource
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @IntrinsicCandidate()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @IntrinsicCandidate()
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
theoreticalMax(m: Int): Long
The maximum possible number of minimizers for the given m
The maximum possible number of minimizers for the given m
- Definition Classes
- MinimizerSource
-
def
toSplitter(priorities: MinimizerPriorities, k: Int)(implicit spark: SparkSession): MinSplitter[_ <: MinimizerPriorities]
Convert a MinimizerPriorities to a MinSplitter using this source
Convert a MinimizerPriorities to a MinSplitter using this source
- Definition Classes
- MinimizerSource
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
Deprecated Value Members
-
def
finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] ) @Deprecated
- Deprecated