implicit object UIntIsIntegral extends UIntIsIntegral with UIntOrdering
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- def compare(x: UInt, y: UInt): Int
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- UIntOrdering → Ordering → Comparator
- final def eq(arg0: AnyRef): Boolean
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- def equals(arg0: AnyRef): Boolean
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- def equiv(x: UInt, y: UInt): Boolean
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- def fromInt(x: Int): UInt
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- UIntIsIntegral → Numeric
- final def getClass(): Class[_ <: AnyRef]
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- def gt(x: UInt, y: UInt): Boolean
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- Ordering → PartialOrdering
- def gteq(x: UInt, y: UInt): Boolean
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- Ordering → PartialOrdering
- def hashCode(): Int
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- final def isInstanceOf[T0]: Boolean
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- def isReverseOf(other: Ordering[_]): Boolean
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- def lt(x: UInt, y: UInt): Boolean
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- Ordering → PartialOrdering
- def lteq(x: UInt, y: UInt): Boolean
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- Ordering → PartialOrdering
- def max[U <: UInt](x: U, y: U): U
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- Ordering
- def min[U <: UInt](x: U, y: U): U
- Definition Classes
- Ordering
- def minus(x: UInt, y: UInt): UInt
- Definition Classes
- UIntIsIntegral → Numeric
- implicit def mkNumericOps(lhs: UInt): IntegralOps
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- Integral → Numeric
- implicit def mkOrderingOps(lhs: UInt): OrderingOps
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- Ordering
- final def ne(arg0: AnyRef): Boolean
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- def negate(x: UInt): UInt
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- UIntIsIntegral → Numeric
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- def on[U](f: (U) => UInt): Ordering[U]
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- def one: UInt
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- def orElse(other: Ordering[UInt]): Ordering[UInt]
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- Ordering
- def orElseBy[S](f: (UInt) => S)(implicit ord: Ordering[S]): Ordering[UInt]
- Definition Classes
- Ordering
- def parseString(str: String): Option[UInt]
- Definition Classes
- UIntIsIntegral → Numeric
- def plus(x: UInt, y: UInt): UInt
- Definition Classes
- UIntIsIntegral → Numeric
- def quot(x: UInt, y: UInt): UInt
- Definition Classes
- UIntIsIntegral → Integral
- def rem(x: UInt, y: UInt): UInt
- Definition Classes
- UIntIsIntegral → Integral
- def reverse: Ordering[UInt]
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- Ordering → PartialOrdering
- def reversed(): Comparator[UInt]
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- Comparator
- def sign(x: UInt): UInt
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- final def synchronized[T0](arg0: => T0): T0
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- def thenComparing[U <: Comparable[_ >: U <: AnyRef]](arg0: Function[_ >: UInt <: AnyRef, _ <: U]): Comparator[UInt]
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- Comparator
- def thenComparing[U <: AnyRef](arg0: Function[_ >: UInt <: AnyRef, _ <: U], arg1: Comparator[_ >: U <: AnyRef]): Comparator[UInt]
- Definition Classes
- Comparator
- def thenComparing(arg0: Comparator[_ >: UInt <: AnyRef]): Comparator[UInt]
- Definition Classes
- Comparator
- def thenComparingDouble(arg0: ToDoubleFunction[_ >: UInt <: AnyRef]): Comparator[UInt]
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- Comparator
- def thenComparingInt(arg0: ToIntFunction[_ >: UInt <: AnyRef]): Comparator[UInt]
- Definition Classes
- Comparator
- def thenComparingLong(arg0: ToLongFunction[_ >: UInt <: AnyRef]): Comparator[UInt]
- Definition Classes
- Comparator
- def times(x: UInt, y: UInt): UInt
- Definition Classes
- UIntIsIntegral → Numeric
- def toDouble(x: UInt): Double
- Definition Classes
- UIntIsIntegral → Numeric
- def toFloat(x: UInt): Float
- Definition Classes
- UIntIsIntegral → Numeric
- def toInt(x: UInt): Int
- Definition Classes
- UIntIsIntegral → Numeric
- def toLong(x: UInt): Long
- Definition Classes
- UIntIsIntegral → Numeric
- def toString(): String
- Definition Classes
- AnyRef → Any
- def tryCompare(x: UInt, y: UInt): Some[Int]
- Definition Classes
- Ordering → PartialOrdering
- final def wait(): Unit
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- AnyRef
- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long, arg1: Int): Unit
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- final def wait(arg0: Long): Unit
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- @throws(classOf[java.lang.InterruptedException]) @native()
- def zero: UInt
- Definition Classes
- Numeric
This is documentation for Mothra, a collection of Scala and Spark library functions for working with Internet-related data. Some modules contain APIs of general use to Scala programmers. Some modules make those tools more useful on Spark data-processing systems.
Please see the documentation for the individual packages for more details on their use.
Scala Packages
These packages are useful in Scala code without involving Spark:
org.cert.netsa.data
This package, which is collected as the
netsa-data
library, provides types for working with various kinds of information:org.cert.netsa.data.net
- types for working with network dataorg.cert.netsa.data.time
- types for working with time dataorg.cert.netsa.data.unsigned
- types for working with unsigned integral valuesorg.cert.netsa.io.ipfix
The
netsa-io-ipfix
library provides tools for reading and writing IETF IPFIX data from various connections and files.org.cert.netsa.io.silk
To read and write CERT NetSA SiLK file formats and configuration files, use the
netsa-io-silk
library.org.cert.netsa.util
The "junk drawer" of
netsa-util
so far provides only two features: First, a method for equipping Scala scala.collection.Iterators with exception handling. And second, a way to query the versions of NetSA libraries present in a JVM at runtime.Spark Packages
These packages require the use of Apache Spark:
org.cert.netsa.mothra.datasources
Spark datasources for CERT file types. This package contains utility features which add methods to Apache Spark DataFrameReader objects, allowing IPFIX and SiLK flows to be opened using simple
spark.read...
calls.The
mothra-datasources
library contains both IPFIX and SiLK functionality, whilemothra-datasources-ipfix
andmothra-datasources-silk
contain only what's needed for the named datasource.org.cert.netsa.mothra.analysis
A grab-bag of analysis helper functions and example analyses.
org.cert.netsa.mothra.functions
This single Scala object provides Spark SQL functions for working with network data. It is the entirety of the
mothra-functions
library.