org.apache.tinkerpop.gremlin.algorithm.generator

## Class CopyDistribution

- java.lang.Object
- - org.apache.tinkerpop.gremlin.algorithm.generator.CopyDistribution

- All Implemented Interfaces:
    Distribution

      public class CopyDistribution
      extends Object
      implements Distribution

  CopyDistribution returns the conditional value.

  Hence, this class can be used as the in-degree distribution to ensure that the in-degree of a vertex is equal to the out-degree.
  Author:
    Matthias Broecheler (me@matthiasb.com)

- - ### Constructor Summary

    Constructors
    Constructor and Description
    `CopyDistribution()`

  - ### Method Summary

    All Methods Instance Methods Concrete Methods
    Modifier and Type | Method and Description
    --- | ---
    `Distribution` | `initialize(int invocations, int expectedTotal)` Initializes the distribution such that expectedTotal is equal to the expected sum of generated values after the given number of invocatiosn.
    `int` | `nextConditionalValue(Random random, int otherValue)` Returns the next value conditional on another given value.
    `int` | `nextValue(Random random)` Returns the next value.

    - ### Methods inherited from class java.lang.Object

      `clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

- - ### Constructor Detail

    - #### CopyDistribution

          public CopyDistribution()

  - ### Method Detail

    - #### initialize

          public Distribution initialize(int invocations,
                                         int expectedTotal)

      Description copied from interface: `Distribution`
      Initializes the distribution such that expectedTotal is equal to the expected sum of generated values after the given number of invocatiosn.

      Since most distributions have an element of randomness, these values are the expected values.
      Specified by:
        `initialize` in interface `Distribution`
      Returns:
        A new distribution configured to match the expected total for the number of invocations.

    - #### nextValue

          public int nextValue(Random random)

      Description copied from interface: `Distribution`
      Returns the next value. If this value is randomly generated, the randomness must be drawn from the provided random generator.

      DO NOT use your own internal random generator as this makes the generated values non-reproducible and leads to faulty behavior.
      Specified by:
        `nextValue` in interface `Distribution`
      Parameters:
        `random` - random generator to use for randomness
      Returns:
        next value

    - #### nextConditionalValue

          public int nextConditionalValue(Random random,
                                          int otherValue)

      Description copied from interface: `Distribution`
      Returns the next value conditional on another given value.

      This can be used, for instance, to define conditional degree distributions where the in-degree is conditional on the out-degree.

      If this value is randomly generated, the randomness must be drawn from the provided random generator. DO NOT use your own internal random generator as this makes the generated values non-reproducible and leads to faulty behavior.
      Specified by:
        `nextConditionalValue` in interface `Distribution`
      Parameters:
        `random` - random generator to use for randomness
        `otherValue` - The prior value
      Returns:
        next value

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