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t

zio.test.interop

CatsTestFunctions

trait CatsTestFunctions extends AnyRef

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  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  5. final def assertF[F[_], R, A](value: F[A], assertion: Assertion[A])(implicit F: Effect[F]): RIO[R, TestResult]

    Checks the assertion holds for the given effectfully-computed value.

  6. final def checkAllF[F[_], R, A, B, C, D](rv1: Gen[R, A], rv2: Gen[R, B], rv3: Gen[R, C], rv4: Gen[R, D])(test: (A, B, C, D) ⇒ F[TestResult])(implicit F: Effect[F]): RIO[R, TestResult]

    A version of checkAllM that accepts four random variables.

  7. final def checkAllF[F[_], R, A, B, C](rv1: Gen[R, A], rv2: Gen[R, B], rv3: Gen[R, C])(test: (A, B, C) ⇒ F[TestResult])(implicit F: Effect[F]): RIO[R, TestResult]

    A version of checkAllM that accepts three random variables.

  8. final def checkAllF[F[_], R, A, B](rv1: Gen[R, A], rv2: Gen[R, B])(test: (A, B) ⇒ F[TestResult])(implicit F: Effect[F]): RIO[R, TestResult]

    A version of checkAllM that accepts two random variables.

  9. final def checkAllF[F[_], R, A](rv: Gen[R, A])(test: (A) ⇒ F[TestResult])(implicit F: Effect[F]): RIO[R, TestResult]

    Checks the effectual test passes for all values from the given random variable.

    Checks the effectual test passes for all values from the given random variable. This is useful for deterministic Gen that comprehensively explore all possibilities in a given domain.

  10. final def checkF[F[_], R, A, B, C, D](rv1: Gen[R, A], rv2: Gen[R, B], rv3: Gen[R, C], rv4: Gen[R, D])(test: (A, B, C, D) ⇒ F[TestResult])(implicit F: Effect[F]): RIO[R, TestResult]

    A version of checkM that accepts four random variables.

  11. final def checkF[F[_], R, A, B, C](rv1: Gen[R, A], rv2: Gen[R, B], rv3: Gen[R, C])(test: (A, B, C) ⇒ F[TestResult])(implicit F: Effect[F]): RIO[R, TestResult]

    A version of checkM that accepts three random variables.

  12. final def checkF[F[_], R, A, B](rv1: Gen[R, A], rv2: Gen[R, B])(test: (A, B) ⇒ F[TestResult])(implicit F: Effect[F]): RIO[R, TestResult]

    A version of checkM that accepts two random variables.

  13. final def checkF[F[_], R, A](rv: Gen[R, A])(test: (A) ⇒ F[TestResult])(implicit F: Effect[F]): RIO[R, TestResult]

    Checks the effectual test passes for "sufficient" numbers of samples from the given random variable.

  14. final def checkSomeF[F[_], R, A, B, C, D](rv1: Gen[R, A], rv2: Gen[R, B], rv3: Gen[R, C], rv4: Gen[R, D])(n: Int)(test: (A, B, C, D) ⇒ F[TestResult])(implicit F: Effect[F]): RIO[R, TestResult]

    A version of checkSomeM that accepts four random variables.

  15. final def checkSomeF[F[_], R, A, B, C](rv1: Gen[R, A], rv2: Gen[R, B], rv3: Gen[R, C])(n: Int)(test: (A, B, C) ⇒ F[TestResult])(implicit F: Effect[F]): RIO[R, TestResult]

    A version of checkSomeM that accepts three random variables.

  16. final def checkSomeF[F[_], R, A, B](rv1: Gen[R, A], rv2: Gen[R, B])(n: Int)(test: (A, B) ⇒ F[TestResult])(implicit F: Effect[F]): RIO[R, TestResult]

    A version of checkSomeM that accepts two random variables.

  17. final def checkSomeF[F[_], R, A](rv: Gen[R, A])(n: Int)(test: (A) ⇒ F[TestResult])(implicit F: Effect[F]): RIO[R, TestResult]

    Checks the effectual test passes for the specified number of samples from the given random variable.

  18. def clone(): AnyRef
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  19. final def eq(arg0: AnyRef): Boolean
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  21. def finalize(): Unit
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  22. final def getClass(): Class[_]
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  23. def hashCode(): Int
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  24. final def isInstanceOf[T0]: Boolean
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  25. final def ne(arg0: AnyRef): Boolean
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  26. final def notify(): Unit
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  27. final def notifyAll(): Unit
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  28. final def synchronized[T0](arg0: ⇒ T0): T0
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  29. final def testF[F[_]](label: String)(assertion: F[TestResult])(implicit F: Effect[F]): ZSpec[Any, Throwable]

    Builds a spec with a single effectful test.

  30. def toString(): String
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  31. final def wait(): Unit
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  32. final def wait(arg0: Long, arg1: Int): Unit
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  33. final def wait(arg0: Long): Unit
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