zio.test
ZIO Test is a featherweight testing library for effectful programs.
The library imagines every spec as an ordinary immutable value, providing tremendous potential for composition. Thanks to tight integration with ZIO, specs can use resources (including those requiring disposal), have well- defined linear and parallel semantics, and can benefit from a host of ZIO combinators.
import zio.test._
import zio.Clock.nanoTime
object MyTest extends ZIOSpecDefault {
def spec = suite("clock")(
test("time is non-zero") {
for {
time <- Live.live(nanoTime)
} yield assertTrue(time >= 0L)
}
)
}
Attributes
Members list
Packages
The laws
package provides functionality for describing laws as values. The fundamental abstraction is a set of ZLaws[Caps, R]
. These laws model the laws that instances having a capability of type Caps
are expected to satisfy. A capability Caps[_]
is an abstraction describing some functionality that is common across different data types and obeys certain laws. For example, we can model the capability of two values of a type being compared for equality as follows:
The laws
package provides functionality for describing laws as values. The fundamental abstraction is a set of ZLaws[Caps, R]
. These laws model the laws that instances having a capability of type Caps
are expected to satisfy. A capability Caps[_]
is an abstraction describing some functionality that is common across different data types and obeys certain laws. For example, we can model the capability of two values of a type being compared for equality as follows:
trait Equal[-A] {
def equal(a1: A, a2: A): Boolean
}
Definitions of equality are expected to obey certain laws:
- Reflexivity -
a1 === a1
- Symmetry -
a1 === a2 ==> a2 === a1
- Transitivity -
(a1 === a2) && (a2 === a3) ==> (a1 === a3)
These laws define what the capabilities mean and ensure that it is safe to abstract across different instances with the same capability.
Using ZIO Test, we can represent these laws as values. To do so, we define each law using one of the ZLaws
constructors. For example:
val transitivityLaw = ZLaws.Laws3[Equal]("transitivityLaw") {
def apply[A: Equal](a1: A, a2: A, a3: A): TestResult =
???
}
We can then combine laws using the +
operator:
val reflexivityLaw: = ???
val symmetryLaw: = ???
val equalLaws = reflexivityLaw + symmetryLaw + transitivityLaw
Laws have a run
method that takes a generator of values of type A
and checks that those values satisfy the laws. In addition, objects can extend ZLawful
to provide an even more convenient syntax for users to check that instances satisfy certain laws.
object Equal extends Lawful[Equal]
object Hash extends Lawful[Hash]
object Ord extends Lawful[Ord]
checkAllLaws(Equal + Hash + Ord)(Gen.int)
Note that capabilities compose seamlessly because of contravariance. We can combine laws describing different capabilities to construct a set of laws requiring that instances having all of the capabilities satisfy each of the laws.
Attributes
Type members
Classlikes
The Annotations
trait provides access to an annotation map that tests can add arbitrary annotations to. Each annotation consists of a string identifier, an initial value, and a function for combining two values. Annotations form monoids and you can think of Annotations
as a more structured logging service or as a super polymorphic version of the writer monad effect.
The Annotations
trait provides access to an annotation map that tests can add arbitrary annotations to. Each annotation consists of a string identifier, an initial value, and a function for combining two values. Annotations form monoids and you can think of Annotations
as a more structured logging service or as a super polymorphic version of the writer monad effect.
Attributes
Attributes
- Companion
- trait
- Supertypes
- Self type
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Annotations.type
Attributes
Attributes
Attributes
- Companion
- trait
- Supertypes
- Self type
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CheckConstructor.type
Attributes
- Supertypes
- Known subtypes
-
object CheckConstructor.type
Attributes
- Supertypes
- Known subtypes
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object CheckConstructor.type
Attributes
- Supertypes
- Known subtypes
Attributes
- Supertypes
- Self type
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CheckVariants.type
Proxy methods to call package private methods from the macro
Proxy methods to call package private methods from the macro
Attributes
- Companion
- trait
- Supertypes
- Self type
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CompileVariants.type
CustomAssertion allows users to create their own custom assertions for use in assertTrue
. They are constructed with CustomAssertion.make
.
CustomAssertion allows users to create their own custom assertions for use in assertTrue
. They are constructed with CustomAssertion.make
.
// Definition
sealed trait Pet
case class Dog(hasBone: Boolean) extends Pet
case class Fish(bubbles: Double) extends Pet
case class Cat(livesRemaining: Int) extends Color
val lives =
CustomAssertion.make[Pet] {
case Cat(livesRemaining) => Right(livesRemaining)
case other => Left(s"Expected $$other to be Cat")
}
// Usage
suite("custom assertions")(
test("as even") {
val pet: Option[Pet] = Some(Cat(8))
assertTrue(pet.is(_.some.custom(lives)) == 8)
}
)
Attributes
- Companion
- object
- Supertypes
Attributes
- Companion
- class
- Supertypes
- Self type
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CustomAssertion.type
Attributes
- Companion
- trait
- Supertypes
- Self type
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ErrorMessage.type
Attributes
- Companion
- object
- Supertypes
- Self type
Attributes
- Companion
- trait
- Supertypes
- Self type
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ExecutionEvent.type
Attributes
- Companion
- object
- Supertypes
- Known subtypes
-
class RuntimeFailure[E]class SectionEndclass SectionStartclass Test[E]class TestStartedclass TopLevelFlushShow all
Attributes
- Companion
- trait
- Supertypes
- Self type
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ExecutionEventSink.type
Attributes
- Companion
- object
- Supertypes
Attributes
- Companion
- class
- Supertypes
- Self type
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FailureCase.type
A Gen[R, A]
represents a generator of values of type A
, which requires an environment R
. Generators may be random or deterministic.
A Gen[R, A]
represents a generator of values of type A
, which requires an environment R
. Generators may be random or deterministic.
Attributes
- Companion
- object
- Supertypes
- Self type
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Attributes
- Companion
- class
- Supertypes
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trait Producttrait Mirrortrait TimeVariantstrait FunctionVariantstrait GenZIOclass Objecttrait Matchableclass AnyShow all
- Self type
-
Gen.type
Attributes
- Companion
- class
- Supertypes
- Self type
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GenFailureDetails.type
The Live
trait provides access to the "live" default ZIO services from within ZIO Test for workflows such as printing test results to the console or timing out tests where it is necessary to access the real implementations of these services.
The Live
trait provides access to the "live" default ZIO services from within ZIO Test for workflows such as printing test results to the console or timing out tests where it is necessary to access the real implementations of these services.
The easiest way to access the "live" services is to use the live
method with a workflow that would otherwise use the test version of the default ZIO services.
import zio.Clock
import zio.test._
val realTime = live(Clock.nanoTime)
The withLive
method can be used to apply a transformation to a workflow with the live services while ensuring that the workflow itself still runs with the test services, for example to time out a test. Both of these methods are re-exported in the ZIO Test package object for easy availability.
Attributes
Attributes
- Supertypes
Attributes
- Supertypes
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class AnyValtrait Matchableclass Any
Attributes
- Supertypes
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class AnyValtrait Matchableclass Any
Attributes
- Companion
- object
- Supertypes
- Known subtypes
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object ConsoleEventRenderer.typeobject IntelliJEventRenderer.type
Attributes
- Companion
- trait
- Supertypes
- Self type
Attributes
- Supertypes
- Known subtypes
-
trait TestClockclass Testtrait TestConsoleclass Testtrait TestRandomclass Testtrait TestSystemclass TestShow all
A sample is a single observation from a random variable, together with a tree of "shrinkings" used for minimization of "large" failures.
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
- Supertypes
- Self type
-
Attributes
Attributes
- Supertypes
- Self type
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SmartAssertMacros.type
Attributes
- Supertypes
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class AnyValtrait Matchableclass Any
A Spec[R, E]
is the backbone of ZIO Test. Every spec is either a suite, which contains other specs, or a test. All specs require an environment of type R
and may potentially fail with an error of type E
.
A Spec[R, E]
is the backbone of ZIO Test. Every spec is either a suite, which contains other specs, or a test. All specs require an environment of type R
and may potentially fail with an error of type E
.
Attributes
- Companion
- object
- Supertypes
- Self type
-
Attributes
- Supertypes
- Self type
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SpecLayerMacros.type
Attributes
- Companion
- trait
- Supertypes
- Self type
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SuiteConstructor.type
Attributes
- Supertypes
- Known subtypes
-
object SuiteConstructor.type
Attributes
- Supertypes
- Known subtypes
-
object SuiteConstructor.type
Attributes
- Supertypes
- Known subtypes
Attributes
- Supertypes
- Known subtypes
-
object SuiteConstructor.type
Value parameters
- id
-
Level of the spec nesting that you are at. Suites get new values, test cases inherit their suite's
Attributes
- Companion
- object
- Supertypes
Attributes
- Companion
- object
- Supertypes
- Self type
Attributes
- Supertypes
- Self type
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SummaryBuilder.type
A type of annotation.
Attributes
- Companion
- class
- Supertypes
- Self type
-
TestAnnotation.type
An annotation map keeps track of annotations of different types.
An annotation map keeps track of annotations of different types.
Attributes
- Companion
- object
- Supertypes
- Self type
Attributes
- Companion
- class
- Supertypes
- Self type
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TestAnnotationMap.type
A TestAnnotationRenderer
knows how to render test annotations.
A TestAnnotationRenderer
knows how to render test annotations.
Attributes
- Companion
- object
- Supertypes
- Known subtypes
-
class CompositeRendererclass LeafRenderer
- Self type
Attributes
- Companion
- class
- Supertypes
- Self type
A TestAspect
is an aspect that can be weaved into specs. You can think of an aspect as a polymorphic function, capable of transforming one test into another, possibly enlarging the environment or error type.
A TestAspect
is an aspect that can be weaved into specs. You can think of an aspect as a polymorphic function, capable of transforming one test into another, possibly enlarging the environment or error type.
Attributes
- Companion
- object
- Supertypes
- Known subtypes
-
- Self type
-
Attributes
- Companion
- class
- Supertypes
- Self type
-
TestAspect.type
TestClock
makes it easy to deterministically and efficiently test effects involving the passage of time.
TestClock
makes it easy to deterministically and efficiently test effects involving the passage of time.
Instead of waiting for actual time to pass, sleep
and methods implemented in terms of it schedule effects to take place at a given clock time. Users can adjust the clock time using the adjust
and setTime
methods, and all effects scheduled to take place on or before that time will automatically be run in order.
For example, here is how we can test ZIO#timeout
using TestClock
:
import zio.ZIO
import zio.test.TestClock
for {
fiber <- ZIO.sleep(5.minutes).timeout(1.minute).fork
_ <- TestClock.adjust(1.minute)
result <- fiber.join
} yield result == None
Note how we forked the fiber that sleep
was invoked on. Calls to sleep
and methods derived from it will semantically block until the time is set to on or after the time they are scheduled to run. If we didn't fork the fiber on which we called sleep we would never get to set the time on the line below. Thus, a useful pattern when using TestClock
is to fork the effect being tested, then adjust the clock time, and finally verify that the expected effects have been performed.
For example, here is how we can test an effect that recurs with a fixed delay:
import zio.Queue
import zio.test.TestClock
for {
q <- Queue.unbounded[Unit]
_ <- q.offer(()).delay(60.minutes).forever.fork
a <- q.poll.map(_.isEmpty)
_ <- TestClock.adjust(60.minutes)
b <- q.take.as(true)
c <- q.poll.map(_.isEmpty)
_ <- TestClock.adjust(60.minutes)
d <- q.take.as(true)
e <- q.poll.map(_.isEmpty)
} yield a && b && c && d && e
Here we verify that no effect is performed before the recurrence period, that an effect is performed after the recurrence period, and that the effect is performed exactly once. The key thing to note here is that after each recurrence the next recurrence is scheduled to occur at the appropriate time in the future, so when we adjust the clock by 60 minutes exactly one value is placed in the queue, and when we adjust the clock by another 60 minutes exactly one more value is placed in the queue.
Attributes
Attributes
The TestConfig
service provides access to default configuration settings used by ZIO Test, including the number of times to repeat tests to ensure they are stable, the number of times to retry flaky tests, the sufficient number of samples to check from a random variable, and the maximum number of shrinkings to minimize large failures.
The TestConfig
service provides access to default configuration settings used by ZIO Test, including the number of times to repeat tests to ensure they are stable, the number of times to retry flaky tests, the sufficient number of samples to check from a random variable, and the maximum number of shrinkings to minimize large failures.
Attributes
Attributes
- Companion
- trait
- Supertypes
- Self type
-
TestConfig.type
TestConsole
provides a testable interface for programs interacting with the console by modeling input and output as reading from and writing to input and output buffers maintained by TestConsole
and backed by a Ref
.
TestConsole
provides a testable interface for programs interacting with the console by modeling input and output as reading from and writing to input and output buffers maintained by TestConsole
and backed by a Ref
.
All calls to print
and printLine
using the TestConsole
will write the string to the output buffer and all calls to readLine
will take a string from the input buffer. To facilitate debugging, by default output will also be rendered to standard output. You can enable or disable this for a scope using debug
, silent
, or the corresponding test aspects.
TestConsole
has several methods to access and manipulate the content of these buffers including feedLines
to feed strings to the input buffer that will then be returned by calls to readLine
, output
to get the content of the output buffer from calls to print
and printLine
, and clearInput
and clearOutput
to clear the respective buffers.
Together, these functions make it easy to test programs interacting with the console.
import zio.Console._
import zio.test.TestConsole
import zio.ZIO
val sayHello = for {
name <- readLine
_ <- printLine("Hello, " + name + "!")
} yield ()
for {
_ <- TestConsole.feedLines("John", "Jane", "Sally")
_ <- ZIO.collectAll(List.fill(3)(sayHello))
result <- TestConsole.output
} yield result == Vector("Hello, John!\n", "Hello, Jane!\n", "Hello, Sally!\n")
Attributes
Attributes
- Companion
- trait
- Supertypes
- Self type
-
TestConsole.type
Attributes
- Companion
- trait
- Supertypes
- Self type
-
TestConstructor.type
Attributes
- Supertypes
- Known subtypes
-
object TestConstructor.type
Attributes
- Supertypes
- Known subtypes
-
object TestConstructor.type
Attributes
- Supertypes
- Known subtypes
Attributes
- Companion
- object
- Supertypes
- Self type
Attributes
- Companion
- trait
- Supertypes
- Self type
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TestDuration.type
Attributes
- Supertypes
- Self type
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TestEnvironment.type
Attributes
- Companion
- class
- Supertypes
- Self type
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TestExecutor.type
Attributes
- Companion
- object
- Supertypes
- Known subtypes
- Self type
-
TestFailure[E]
Attributes
- Companion
- class
- Supertypes
- Self type
-
TestFailure.type
Attributes
- Supertypes
Attributes
- Supertypes
-
class AnyValtrait Matchableclass Any
Attributes
- Supertypes
-
class AnyValtrait Matchableclass Any
Attributes
- Supertypes
-
class AnyValtrait Matchableclass Any
Attributes
- Supertypes
-
class AnyValtrait Matchableclass Any
Attributes
- Supertypes
-
class AnyValtrait Matchableclass Any
Attributes
- Companion
- object
- Supertypes
Attributes
- Companion
- trait
- Supertypes
- Self type
-
TestLogger.type
TestPlatform
provides information about the platform tests are being run on to enable platform specific test configuration.
TestPlatform
provides information about the platform tests are being run on to enable platform specific test configuration.
Attributes
- Supertypes
- Self type
-
TestPlatform.type
TestRandom
allows for deterministically testing effects involving randomness.
TestRandom
allows for deterministically testing effects involving randomness.
TestRandom
operates in two modes. In the first mode, TestRandom
is a purely functional pseudo-random number generator. It will generate pseudo-random values just like scala.util.Random
except that no internal state is mutated. Instead, methods like nextInt
describe state transitions from one random state to another that are automatically composed together through methods like flatMap
. The random seed can be set using setSeed
and TestRandom
is guaranteed to return the same sequence of values for any given seed. This is useful for deterministically generating a sequence of pseudo-random values and powers the property based testing functionality in ZIO Test.
In the second mode, TestRandom
maintains an internal buffer of values that can be "fed" with methods such as feedInts
and then when random values of that type are generated they will first be taken from the buffer. This is useful for verifying that functions produce the expected output for a given sequence of "random" inputs.
import zio.Random
import zio.test.TestRandom
for {
_ <- TestRandom.feedInts(4, 5, 2)
x <- Random.nextIntBounded(6)
y <- Random.nextIntBounded(6)
z <- Random.nextIntBounded(6)
} yield x + y + z == 11
TestRandom
will automatically take values from the buffer if a value of the appropriate type is available and otherwise generate a pseudo-random value, so there is nothing you need to do to switch between the two modes. Just generate random values as you normally would to get pseudo-random values, or feed in values of your own to get those values back. You can also use methods like clearInts
to clear the buffer of values of a given type so you can fill the buffer with new values or go back to pseudo-random number generation.
Attributes
Attributes
- Companion
- trait
- Supertypes
- Self type
-
TestRandom.type
Attributes
- Companion
- class
- Supertypes
- Self type
-
TestReporters.type
Attributes
- Companion
- object
- Supertypes
Attributes
- Companion
- object
- Supertypes
- Self type
Attributes
- Companion
- class
- Supertypes
- Self type
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TestResult.type
Attributes
- Supertypes
-
class AnyValtrait Matchableclass Any
A TestRunner[R, E]
encapsulates all the logic necessary to run specs that require an environment R
and may fail with an error E
. Test runners require a test executor, a runtime configuration, and a reporter.
A TestRunner[R, E]
encapsulates all the logic necessary to run specs that require an environment R
and may fail with an error E
. Test runners require a test executor, a runtime configuration, and a reporter.
Attributes
- Supertypes
- Self type
-
Attributes
- Supertypes
- Self type
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TestServices.type
Attributes
- Companion
- object
- Supertypes
- Known subtypes
- Self type
Attributes
- Companion
- class
- Supertypes
- Self type
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TestSuccess.type
TestSystem
supports deterministic testing of effects involving system properties. Internally, TestSystem
maintains mappings of environment variables and system properties that can be set and accessed. No actual environment variables or system properties will be accessed or set as a result of these actions.
TestSystem
supports deterministic testing of effects involving system properties. Internally, TestSystem
maintains mappings of environment variables and system properties that can be set and accessed. No actual environment variables or system properties will be accessed or set as a result of these actions.
import zio.system
import zio.test.TestSystem
for {
_ <- TestSystem.putProperty("java.vm.name", "VM")
result <- system.property("java.vm.name")
} yield result == Some("VM")
Attributes
Attributes
- Companion
- trait
- Supertypes
- Self type
-
TestSystem.type
Attributes
- Supertypes
-
trait Producttrait Equalsclass Throwabletrait Serializableclass Objecttrait Matchableclass AnyShow all
TestVersion
provides information about the Scala version tests are being run on to enable platform specific test configuration.
TestVersion
provides information about the Scala version tests are being run on to enable platform specific test configuration.
Attributes
- Supertypes
- Self type
-
TestVersion.type
Attributes
- Supertypes
- Known subtypes
-
object TestAspect.type
Attributes
- Supertypes
-
trait ZIOSpecVersionSpecific[R]class ZIOSpecAbstracttrait ZIOApptrait ZIOAppVersionSpecificclass Objecttrait Matchableclass AnyShow all
- Known subtypes
-
class ZIOSpecDefault
- Self type
-
ZIOSpec[R]
Attributes
- Supertypes
- Known subtypes
-
class ZIOSpec[R]class ZIOSpecDefault
- Self type
Attributes
- Companion
- class
- Supertypes
- Self type
Attributes
- Supertypes
- Known subtypes
Attributes
- Supertypes
-
class ZIOSpec[TestEnvironment]class ZIOSpecAbstracttrait ZIOApptrait ZIOAppVersionSpecificclass Objecttrait Matchableclass AnyShow all
Attributes
- Supertypes
- Known subtypes
-
class ZIOSpec[R]class ZIOSpecDefault
- Self type
-
ZIOSpec[R]
Attributes
- Supertypes
- Self type
Attributes
- Companion
- trait
- Supertypes
- Self type
-
ZTestEventHandler.type
A ZTestLogger
is an implementation of a ZLogger
that writes all log messages to an internal data structure. The contents of this data structure can be accessed using the logOutput
operator. This makes it easy to write tests to verify that expected messages are being logged.
A ZTestLogger
is an implementation of a ZLogger
that writes all log messages to an internal data structure. The contents of this data structure can be accessed using the logOutput
operator. This makes it easy to write tests to verify that expected messages are being logged.
test("logging works") {
for {
_ <- ZIO.logDebug("It's alive!")
output <- ZTestLogger.logOutput
} yield assertTrue(output.length == 1) &&
assertTrue(output(0).message() == "It's alive!") &&
assertTrue(output(0).logLevel == LogLevel.Debug)
}
Attributes
- Companion
- object
- Supertypes
Attributes
- Companion
- trait
- Supertypes
- Self type
-
ZTestLogger.type
Types
A TestAspectAtLeast[R]
is a TestAspect
that requires at least an R
in its environment.
A TestAspectAtLeast[R]
is a TestAspect
that requires at least an R
in its environment.
Attributes
A TestAspectPoly
is a TestAspect
that is completely polymorphic, having no requirements on error or environment.
A TestAspectPoly
is a TestAspect
that is completely polymorphic, having no requirements on error or environment.
Attributes
A ZTest[R, E]
is an effectfully produced test that requires an R
and may fail with an E
.
A ZTest[R, E]
is an effectfully produced test that requires an R
and may fail with an E
.
Attributes
Value members
Concrete methods
Retrieves the Annotations
service for this test.
Retrieves the Annotations
service for this test.
Attributes
Retrieves the Annotations
service for this test and uses it to run the specified workflow.
Retrieves the Annotations
service for this test and uses it to run the specified workflow.
Attributes
Asserts that the given test was completed.
Asserts that the given test was completed.
Attributes
Asserts that the given test was completed.
Asserts that the given test was completed.
Attributes
Asserts that the given test was never completed.
Asserts that the given test was never completed.
Attributes
Checks the test passes for "sufficient" numbers of samples from the given random variable.
Checks the test passes for "sufficient" numbers of samples from the given random variable.
Attributes
A version of check
that accepts two random variables.
A version of check
that accepts two random variables.
Attributes
A version of check
that accepts three random variables.
A version of check
that accepts three random variables.
Attributes
A version of check
that accepts four random variables.
A version of check
that accepts four random variables.
Attributes
A version of check
that accepts five random variables.
A version of check
that accepts five random variables.
Attributes
A version of check
that accepts six random variables.
A version of check
that accepts six random variables.
Attributes
A version of check
that accepts seven random variables.
A version of check
that accepts seven random variables.
Attributes
A version of check
that accepts eight random variables.
A version of check
that accepts eight random variables.
Attributes
Checks the test passes for all values from the given finite, deterministic generator. For non-deterministic or infinite generators use check
or checkN
.
Checks the test passes for all values from the given finite, deterministic generator. For non-deterministic or infinite generators use check
or checkN
.
Attributes
A version of checkAll
that accepts two random variables.
A version of checkAll
that accepts two random variables.
Attributes
A version of checkAll
that accepts three random variables.
A version of checkAll
that accepts three random variables.
Attributes
A version of checkAll
that accepts four random variables.
A version of checkAll
that accepts four random variables.
Attributes
A version of checkAll
that accepts five random variables.
A version of checkAll
that accepts five random variables.
Attributes
A version of checkAll
that accepts six random variables.
A version of checkAll
that accepts six random variables.
Attributes
A version of checkAll
that accepts seven random variables.
A version of checkAll
that accepts seven random variables.
Attributes
A version of checkAll
that accepts eight random variables.
A version of checkAll
that accepts eight random variables.
Attributes
Checks in parallel 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.
Checks in parallel 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.
Attributes
A version of checkAllPar
that accepts two random variables.
A version of checkAllPar
that accepts two random variables.
Attributes
A version of checkAllPar
that accepts three random variables.
A version of checkAllPar
that accepts three random variables.
Attributes
A version of checkAllPar
that accepts four random variables.
A version of checkAllPar
that accepts four random variables.
Attributes
A version of checkAllPar
that accepts five random variables.
A version of checkAllPar
that accepts five random variables.
Attributes
A version of checkAllPar
that accepts six random variables.
A version of checkAllPar
that accepts six random variables.
Attributes
A version of checkAllPar
that accepts six random variables.
A version of checkAllPar
that accepts six random variables.
Attributes
A version of checkAllPar
that accepts six random variables.
A version of checkAllPar
that accepts six random variables.
Attributes
Checks the test passes for the specified number of samples from the given random variable.
Checks the test passes for the specified number of samples from the given random variable.
Attributes
Checks in parallel the test passes for "sufficient" numbers of samples from the given random variable.
Checks in parallel the test passes for "sufficient" numbers of samples from the given random variable.
Attributes
A version of checkPar
that accepts two random variables.
A version of checkPar
that accepts two random variables.
Attributes
A version of checkPar
that accepts three random variables.
A version of checkPar
that accepts three random variables.
Attributes
A version of checkPar
that accepts four random variables.
A version of checkPar
that accepts four random variables.
Attributes
A version of checkPar
that accepts five random variables.
A version of checkPar
that accepts five random variables.
Attributes
A version of checkPar
that accepts six random variables.
A version of checkPar
that accepts six random variables.
Attributes
A version of checkPar
that accepts seven random variables.
A version of checkPar
that accepts seven random variables.
Attributes
A version of checkPar
that accepts eight random variables.
A version of checkPar
that accepts eight random variables.
Attributes
Creates a failed test result with the specified runtime cause.
Creates a failed test result with the specified runtime cause.
Attributes
Provides an effect with the "real" environment as opposed to the test environment. This is useful for performing effects such as timing out tests, accessing the real time, or printing to the real console.
Provides an effect with the "real" environment as opposed to the test environment. This is useful for performing effects such as timing out tests, accessing the real time, or printing to the real console.
Attributes
Retrieves the Live
service for this test.
Retrieves the Live
service for this test.
Attributes
Retrieves the Live
service for this test and uses it to run the specified workflow.
Retrieves the Live
service for this test and uses it to run the specified workflow.
Attributes
Passes platform specific information to the specified function, which will use that information to create a test. If the platform is neither ScalaJS nor the JVM, an ignored test result will be returned.
Passes platform specific information to the specified function, which will use that information to create a test. If the platform is neither ScalaJS nor the JVM, an ignored test result will be returned.
Attributes
Retrieves the Sized
service for this test.
Retrieves the Sized
service for this test.
Attributes
Retrieves the Sized
service for this test and uses it to run the specified workflow.
Retrieves the Sized
service for this test and uses it to run the specified workflow.
Attributes
Builds a suite containing a number of other specs.
Builds a suite containing a number of other specs.
Attributes
Builds a spec with a single test.
Builds a spec with a single test.
Attributes
Retrieves the TestClock
service for this test.
Retrieves the TestClock
service for this test.
Attributes
Retrieves the TestClock
service for this test and uses it to run the specified workflow.
Retrieves the TestClock
service for this test and uses it to run the specified workflow.
Attributes
Retrieves the TestConfig
service for this test.
Retrieves the TestConfig
service for this test.
Attributes
Retrieves the TestConfig
service for this test and uses it to run the specified workflow.
Retrieves the TestConfig
service for this test and uses it to run the specified workflow.
Attributes
Retrieves the TestConsole
service for this test.
Retrieves the TestConsole
service for this test.
Attributes
Retrieves the TestConsole
service for this test and uses it to run the specified workflow.
Retrieves the TestConsole
service for this test and uses it to run the specified workflow.
Attributes
Retrieves the TestRandom
service for this test.
Retrieves the TestRandom
service for this test.
Attributes
Retrieves the TestRandom
service for this test and uses it to run the specified workflow.
Retrieves the TestRandom
service for this test and uses it to run the specified workflow.
Attributes
Retrieves the TestSystem
service for this test.
Retrieves the TestSystem
service for this test.
Attributes
Retrieves the TestSystem
service for this test and uses it to run the specified workflow.
Retrieves the TestSystem
service for this test and uses it to run the specified workflow.
Attributes
Passes version specific information to the specified function, which will use that information to create a test. If the version is neither Scala 3 nor Scala 2, an ignored test result will be returned.
Passes version specific information to the specified function, which will use that information to create a test. If the version is neither Scala 3 nor Scala 2, an ignored test result will be returned.
Attributes
Executes the specified workflow with the specified implementation of the annotations service.
Executes the specified workflow with the specified implementation of the annotations service.
Attributes
Sets the implementation of the annotations service to the specified value and restores it to its original value when the scope is closed.
Sets the implementation of the annotations service to the specified value and restores it to its original value when the scope is closed.
Attributes
Executes the specified workflow with the specified implementation of the live service.
Executes the specified workflow with the specified implementation of the live service.
Attributes
Transforms this effect with the specified function. The test environment will be provided to this effect, but the live environment will be provided to the transformation function. This can be useful for applying transformations to an effect that require access to the "real" environment while ensuring that the effect itself uses the test environment.
Transforms this effect with the specified function. The test environment will be provided to this effect, but the live environment will be provided to the transformation function. This can be useful for applying transformations to an effect that require access to the "real" environment while ensuring that the effect itself uses the test environment.
withLive(test)(_.timeout(duration))
Attributes
Sets the implementation of the live service to the specified value and restores it to its original value when the scope is closed.
Sets the implementation of the live service to the specified value and restores it to its original value when the scope is closed.
Attributes
Executes the specified workflow with the specified implementation of the sized service.
Executes the specified workflow with the specified implementation of the sized service.
Attributes
Sets the implementation of the sized service to the specified value and restores it to its original value when the scope is closed.
Sets the implementation of the sized service to the specified value and restores it to its original value when the scope is closed.
Attributes
Executes the specified workflow with the specified implementation of the config service.
Executes the specified workflow with the specified implementation of the config service.
Attributes
Sets the implementation of the config service to the specified value and restores it to its original value when the scope is closed.
Sets the implementation of the config service to the specified value and restores it to its original value when the scope is closed.
Attributes
Inherited methods
Attributes
- Inherited from:
- CompileVariants
Attributes
- Inherited from:
- CompileVariants
Attributes
- Inherited from:
- CompileVariants
Returns either Right
if the specified string type checks as valid Scala code or Left
with an error message otherwise. Dies with a runtime exception if specified string cannot be parsed or is not a known value at compile time.
Returns either Right
if the specified string type checks as valid Scala code or Left
with an error message otherwise. Dies with a runtime exception if specified string cannot be parsed or is not a known value at compile time.
Attributes
- Inherited from:
- CompileVariants
Concrete fields
A Runner
that provides a default testable environment.
A Runner
that provides a default testable environment.
Attributes
Creates an ignored test result.
Creates an ignored test result.