A sample is a single observation from a random variable, together with a tree of "shrinkings" used for minimization of "large" failures.
Attributes
- Companion
- object
- Graph
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- Supertypes
- Self type
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Members list
Value members
Concrete methods
A symbolic alias for zip
.
A symbolic alias for zip
.
Attributes
Filters this sample by replacing it with its shrink tree if the value does not meet the specified predicate and recursively filtering the shrink tree.
Filters this sample by replacing it with its shrink tree if the value does not meet the specified predicate and recursively filtering the shrink tree.
Attributes
Converts the shrink tree into a stream of shrinkings by recursively searching the shrink tree, using the specified function to determine whether a value is a failure. The resulting stream will contain all values explored, regardless of whether they are successes or failures.
Converts the shrink tree into a stream of shrinkings by recursively searching the shrink tree, using the specified function to determine whether a value is a failure. The resulting stream will contain all values explored, regardless of whether they are successes or failures.
Attributes
Composes this sample with the specified sample to create a cartesian product of values and shrinkings.
Composes this sample with the specified sample to create a cartesian product of values and shrinkings.
Attributes
Composes this sample with the specified sample to create a cartesian product of values and shrinkings with the specified function.
Composes this sample with the specified sample to create a cartesian product of values and shrinkings with the specified function.