Packages

  • package root
    Definition Classes
    root
  • package org
    Definition Classes
    root
  • package scalatest

    ScalaTest's main traits, classes, and other members, including members supporting ScalaTest's DSL for the Scala interpreter.

    ScalaTest's main traits, classes, and other members, including members supporting ScalaTest's DSL for the Scala interpreter.

    Definition Classes
    org
  • package compatible
    Definition Classes
    scalatest
  • package concurrent

    ScalaTest's main traits, classes, and other members, including members supporting ScalaTest's DSL for the Scala interpreter.

    ScalaTest's main traits, classes, and other members, including members supporting ScalaTest's DSL for the Scala interpreter.

    Definition Classes
    scalatest
  • package enablers
    Definition Classes
    scalatest
  • package events
    Definition Classes
    scalatest
  • package exceptions
    Definition Classes
    scalatest
  • package featurespec
    Definition Classes
    scalatest
  • package fixture

    Package fixture deprecated types.

    Package fixture deprecated types.

    Definition Classes
    scalatest
  • package flatspec
    Definition Classes
    scalatest
  • package freespec
    Definition Classes
    scalatest
  • package funspec
    Definition Classes
    scalatest
  • package funsuite
    Definition Classes
    scalatest
  • package matchers
    Definition Classes
    scalatest
  • package path
    Definition Classes
    scalatest
  • package prop

    Scalatest support for Property-based testing.

    Scalatest support for Property-based testing.

    Introduction to Property-based Testing

    In traditional unit testing, you write tests that describe precisely what the test will do: create these objects, wire them together, call these functions, assert on the results, and so on. It is clear and deterministic, but also limited, because it only covers the exact situations you think to test. In most cases, it is not feasible to test all of the possible combinations of data that might arise in real-world use.

    Property-based testing works the other way around. You describe properties -- rules that you expect your classes to live by -- and describe how to test those properties. The test system then generates relatively large amounts of synthetic data (with an emphasis on edge cases that tend to make things break), so that you can see if the properties hold true in these situations.

    As a result, property-based testing is scientific in the purest sense: you are stating a hypothesis about how things should work (the property), and the system is trying to falsify that hypothesis. If the tests pass, that doesn't prove the property holds, but it at least gives you some confidence that you are probably correct.

    Property-based testing is deliberately a bit random: while the edge cases get tried upfront, the system also usually generates a number of random values to try out. This makes things a bit non-deterministic -- each run will be tried with somewhat different data. To make it easier to debug, and to build regression tests, the system provides tools to re-run a failed test with precisely the same data.

    Background

    TODO: Bill should insert a brief section on QuickCheck, ScalaCheck, etc, and how this system is similar and different.

    Using Property Checks

    In order to use the tools described here, you should import this package:

    import org.scalatest._
    import org.scalatest.prop._

    This library is designed to work well with the types defined in Scalactic, and some functions take types such as PosZInt as parameters. So it can also be helpful to import those with:

    import org.scalactic.anyvals._

    In order to call forAll, the function that actually performs property checks, you will need to either extend or import GeneratorDrivenPropertyChecks, like this:

    class DocExamples extends FlatSpec with Matchers with GeneratorDrivenPropertyChecks {

    There's nothing special about FlatSpec, though -- you may use any of ScalaTest's styles with property checks. GeneratorDrivenPropertyChecks extends CommonGenerators, so it also provides access to the many utilities found there.

    What Does a Property Look Like?

    Let's check a simple property of Strings -- that if you concatenate a String to itself, its length will be doubled:

    "Strings" should "have the correct length when doubled" in {
      forAll { (s: String) =>
        val s2 = s * 2
        s2.length should equal (s.length * 2)
      }
    }

    (Note that the examples here are all using the FlatSpec style, but will work the same way with any of ScalaTest's styles.)

    As the name of the tests suggests, the property we are testing is the length of a String that has been doubled.

    The test begins with forAll. This is usually the way you'll want to begin property checks, and that line can be read as, "For all Strings, the following should be true".

    The test harness will generate a number of Strings, with various contents and lengths. For each one, we compute s * 2. (* is a function on String, which appends the String to itself as many times as you specify.) And then we check that the length of the doubled String is twice the length of the original one.

    Using Specific Generators

    Let's try a more general version of this test, multiplying arbitrary Strings by arbitrary multipliers:

    "Strings" should "have the correct length when multiplied" in {
      forAll { (s: String, n: PosZInt) =>
        val s2 = s * n.value
        s2.length should equal (s.length * n.value)
      }
    }

    Again, you can read the first line of the test as "For all Strings, and all non-negative Integers, the following should be true". (PosZInt is a type defined in Scalactic, which can be any positive integer, including zero. It is appropriate to use here, since multiplying a String by a negative number doesn't make sense.)

    This intuitively makes sense, but when we try to run it, we get a JVM Out of Memory error! Why? Because the test system tries to test with the "edge cases" first, and one of the more important edge cases is Int.MaxValue. It is trying to multiply a String by that, which is far larger than the memory of even a big computer, and crashing.

    So we want to constrain our test to sane values of n, so that it doesn't crash. We can do this by using more specific Generators.

    When we write a forAll test like the above, ScalaTest has to generate the values to be tested -- the semi-random Strings, Ints and other types that you are testing. It does this by calling on an implicit Generator for the desired type. The Generator generates values to test, starting with the edge cases and then moving on to randomly-selected values.

    ScalaTest has built-in Generators for many major types, including String and PosZInt, but these Generators are generic: they will try any value, including values that can break your test, as shown above. But it also provides tools to let you be more specific.

    Here is the fixed version of the above test:

    "Strings" should "have the correct length when multiplied" in {
      forAll(strings, posZIntsBetween(0, 1000))
      { (s: String, n: PosZInt) =>
        val s2 = s * n.value
        s2.length should equal (s.length * n.value)
      }
    }

    This is using a variant of forAll, which lets you specify the Generators to use instead of just picking the implicit one. CommonGenerators.strings is the built-in Generator for Strings, the same one you were getting implicitly. (The other built-ins can be found in CommonGenerators. They are mixed into GeneratorDrivenPropertyChecks, so they are readily available.)

    But CommonGenerators.posZIntsBetween is a function that creates a Generator that selects from the given values. In this case, it will create a Generator that only creates numbers from 0 to 1000 -- small enough to not blow up our computer's memory. If you try this test, this runs correctly.

    The moral of the story is that, while using the built-in Generators is very convenient, and works most of the time, you should think about the data you are trying to test, and pick or create a more-specific Generator when the test calls for it.

    CommonGenerators contains many functions that are helpful in common cases. In particular:

    • xxsBetween (where xxs might be Int, Long, Float or most other significant numeric types) gives you a value of the desired type in the given range, as in the posZIntsBetween() example above.
    • CommonGenerators.specificValue and CommonGenerators.specificValues create Generators that produce either one specific value every time, or one of several values randomly. This is useful for enumerations and types that behave like enumerations.
    • CommonGenerators.evenly and CommonGenerators.frequency create higher-level Generators that call other Generators, either more or less equally or with a distribution you define.

    Testing Your Own Types

    Testing the built-in types isn't very interesting, though. Usually, you have your own types that you want to check the properties of. So let's build up an example piece by piece.

    Say you have this simple type:

    sealed trait Shape {
      def area: Double
    }
    case class Rectangle(width: Int, height: Int) extends Shape {
      require(width > 0)
      require(height > 0)
      def area: Double = width * height
    }

    Let's confirm a nice straightforward property that is surely true: that the area is greater than zero:

    "Rectangles" should "have a positive area" in {
       forAll { (w: PosInt, h: PosInt) =>
         val rect = Rectangle(w, h)
         rect.area should be > 0.0
       }
     }

    Note that, even though our class takes ordinary Ints as parameters (and checks the values at runtime), it is actually easier to generate the legal values using Scalactic's PosInt type.

    This should work, right? Actually, it doesn't -- if we run it a few times, we quickly hit an error!

    [info] Rectangles
    [info] - should have a positive area *** FAILED ***
    [info]   GeneratorDrivenPropertyCheckFailedException was thrown during property evaluation.
    [info]    (DocExamples.scala:42)
    [info]     Falsified after 2 successful property evaluations.
    [info]     Location: (DocExamples.scala:42)
    [info]     Occurred when passed generated values (
    [info]       None = PosInt(399455539),
    [info]       None = PosInt(703518968)
    [info]     )
    [info]     Init Seed: 1568878346200

    TODO: fix the above error to reflect the better errors we should get when we merge in the code being forward-ported from 3.0.5.

    Looking at it, we can see that the numbers being used are pretty large. What happens when we multiply them together?

    scala> 399455539 * 703518968
    res0: Int = -2046258840

    We're hitting an Int overflow problem here: the numbers are too big to multiply together and still get an Int. So we have to fix our area function:

    case class Rectangle(width: Int, height: Int) extends Shape {
      require(width > 0)
      require(height > 0)
      def area: Double = width.toLong * height.toLong
    }

    Now, when we run our property check, it consistently passes. Excellent -- we've caught a bug, because ScalaTest tried sufficiently large numbers.

    Composing Your Own Generators

    Doing things as shown above works, but having to generate the parameters and construct a Rectangle every time is a nuisance. What we really want is to create our own Generator that just hands us Rectangles, the same way we can do for PosInt. Fortunately, this is easy.

    Generators can be composed in for comprehensions. So we can create our own Generator for Rectangle like this:

    implicit val rectGenerator = for {
      w <- posInts
      h <- posInts
    }
      yield Rectangle(w, h)

    Taking that line by line:

    w <- posInts

    CommonGenerators.posInts is the built-in Generator for positive Ints. So this line puts a randomly-generated positive Int in w, and

    h <- posInts

    this line puts another one in h. Finally, this line:

    yield Rectangle(w, h)

    combines w and h to make a Rectangle.

    That's pretty much all you need in order to build any normal case class -- just build it out of the Generators for the type of each field. (And if the fields are complex data structures themselves, build Generators for them the same way, until you are just using primitives.)

    Now, our property check becomes simpler:

    "Generated Rectangles" should "have a positive area" in {
       forAll { (rect: Rectangle) =>
         rect.area should be > 0.0
       }
     }

    That's about as close to plain English as we can reasonably hope for!

    Filtering Values with whenever()

    Sometimes, not all of your generated values make sense for the property you want to check -- you know (via external information) that some of these values will never come up. In cases like this, you can create a custom Generator that only creates the values you do want, but it's often easier to just use Whenever.whenever. (Whenever is mixed into GeneratorDrivenPropertyChecks, so this is available when you need it.)

    The Whenever.whenever function can be used inside of GeneratorDrivenPropertyChecks.forAll. It says that only the filtered values should be used, and anything else should be discarded. For example, look at this property:

    "Fractions" should "get smaller when squared" in {
      forAll { (n: Float) =>
        whenever(n > 0 && n < 1) {
          (n * n) should be < n
        }
      }
    }

    We are testing a property of numbers less than 1, so we filter away everything that is not the numbers we want. This property check succeeds, because we've screened out the values that would make it fail.

    Discard Limits

    You shouldn't push Whenever.whenever too far, though. This system is all about trying random data, but if too much of the random data simply isn't usable, you can't get valid answers, and the system tracks that.

    For example, consider this apparently-reasonable test:

    "Space Chars" should "not also be letters" in {
      forAll { (c: Char) =>
        whenever (c.isSpaceChar) {
          assert(!c.isLetter)
        }
      }
    }

    Although the property is true, this test will fail with an error like this:

    [info] Lowercase Chars
    [info] - should upper-case correctly *** FAILED ***
    [info]   Gave up after 0 successful property evaluations. 49 evaluations were discarded.
    [info]   Init Seed: 1568855247784

    Because the vast majority of Chars are not spaces, nearly all of the generated values are being discarded. As a result, the system gives up after a while. In cases like this, you usually should write a custom Generator instead.

    The proportion of how many discards to permit, relative to the number of successful checks, is configuration-controllable. See GeneratorDrivenPropertyChecks for more details.

    Randomization

    The point of Generator is to create pseudo-random values for checking properties. But it turns out to be very inconvenient if those values are actually random -- that would mean that, when a property check fails occasionally, you have no good way to invoke that specific set of circumstances again for debugging. We want "randomness", but we also want it to be deterministic, and reproducible when you need it.

    To support this, all "randomness" in ScalaTest's property checking system uses the Randomizer class. You start by creating a Randomizer using an initial seed value, and call that to get your "random" value. Each call to a Randomizer function returns a new Randomizer, which you should use to fetch the next value.

    GeneratorDrivenPropertyChecks.forAll uses Randomizer under the hood: each time you run a forAll-based test, it will automatically create a new Randomizer, which by default is seeded based on the current system time. You can override this, as discussed below.

    Since Randomizer is actually deterministic (the "random" values are unobvious, but will always be the same given the same initial seed), this means that re-running a test with the same seed will produce the same values.

    If you need random data for your own Generators and property checks, you should use Randomizer in the same way; that way, your tests will also be re-runnable, when needed for debugging.

    Debugging, and Re-running a Failed Property Check

    In Testing Your Own Types above, we found to our surprise that the property check failed with this error:

    [info] Rectangles
    [info] - should have a positive area *** FAILED ***
    [info]   GeneratorDrivenPropertyCheckFailedException was thrown during property evaluation.
    [info]    (DocExamples.scala:42)
    [info]     Falsified after 2 successful property evaluations.
    [info]     Location: (DocExamples.scala:42)
    [info]     Occurred when passed generated values (
    [info]       None = PosInt(399455539),
    [info]       None = PosInt(703518968)
    [info]     )
    [info]     Init Seed: 1568878346200

    There must be a bug here -- but once we've fixed it, how can we make sure that we are re-testing exactly the same case that failed?

    This is where the pseudo-random nature of Randomizer comes in, and why it is so important to use it consistently. So long as all of our "random" data comes from that, then all we need to do is re-run with the same seed.

    That's why the Init Seed shown in the message above is crucial. We can re-use that seed -- and therefore get exactly the same "random" data -- by using the -S flag to ScalaTest.

    So you can run this command in sbt to re-run exactly the same property check:

    testOnly *DocExamples -- -z "have a positive area" -S 1568878346200

    Taking that apart:

    • testOnly *DocExamples says that we only want to run suites whose paths end with DocExamples
    • -z "have a positive area" says to only run tests whose names include that string.
    • -S 1568878346200 says to run all tests with a "random" seed of 1568878346200

    By combining these flags, you can re-run exactly the property check you need, with the right random seed to make sure you are re-creating the failed test. You should get exactly the same failure over and over until you fix the bug, and then you can confirm your fix with confidence.

    Configuration

    In general, forAll() works well out of the box. But you can tune several configuration parameters when needed. See GeneratorDrivenPropertyChecks for info on how to set configuration parameters for your test.

    Table-Driven Properties

    Sometimes, you want something in between traditional hard-coded unit tests and Generator-driven, randomized tests. Instead, you sometimes want to check your properties against a specific set of inputs.

    (This is particularly useful for regression tests, when you have found certain inputs that have caused problems in the past, and want to make sure that they get consistently re-tested.)

    ScalaTest supports these, by mixing in TableDrivenPropertyChecks. See the documentation for that class for the full details.

    Definition Classes
    scalatest
  • package refspec
    Definition Classes
    scalatest
  • RefSpec
  • RefSpecLike
  • package tagobjects
    Definition Classes
    scalatest
  • package tags
    Definition Classes
    scalatest
  • package time
    Definition Classes
    scalatest
  • package tools
    Definition Classes
    scalatest
  • package words
    Definition Classes
    scalatest

package refspec

Type Members

  1. class RefSpec extends RefSpecLike

    Facilitates a “behavior-driven” style of development (BDD), in which tests are methods, optionally nested inside singleton objects defining textual scopes.

    Facilitates a “behavior-driven” style of development (BDD), in which tests are methods, optionally nested inside singleton objects defining textual scopes.

    Recommended Usage: Class RefSpec allows you to define tests as methods, which saves one function literal per test compared to style classes that represent tests as functions. Fewer function literals translates into faster compile times and fewer generated class files, which can help minimize build times. As a result, using RefSpec can be a good choice in large projects where build times are a concern as well as when generating large numbers of tests programatically via static code generators.

    Here's an example RefSpec:

    package org.scalatest.examples.spec
    
    import org.scalatest.RefSpec
    
    class SetSpec extends RefSpec {
    
      object `A Set` {
        object `when empty` {
          def `should have size 0` {
            assert(Set.empty.size === 0)
          }
    
          def `should produce NoSuchElementException when head is invoked` {
            assertThrows[NoSuchElementException] {
              Set.empty.head
            }
          }
        }
      }
    }
    

    A RefSpec can contain scopes and tests. You define a scope with a nested singleton object, and a test with a method. The names of both scope objects and test methods must be expressed in back ticks and contain at least one space character.

    A space placed in backticks is encoded by the Scala compiler as $u0020, as illustrated here:

    scala> def `an example` = ()
    an$u0020example: Unit
    

    RefSpec uses reflection to discover scope objects and test methods. During discovery, RefSpec will consider any nested singleton object whose name includes $u0020 a scope object, and any method whose name includes $u0020 a test method. It will ignore any singleton objects or methods that do not include a $u0020 character. Thus, RefSpec would not consider the following singleton object a scope object:

    object `Set` { // Not discovered, because no space character
    }
    

    You can make such a scope discoverable by placing a space at the end, like this:

    object `Set ` { // Discovered, because of the trailing space character
    }
    

    Rather than performing this discovery during construction, when instance variables used by scope objects may as yet be uninitialized, RefSpec performs discovery lazily, the first time a method needing the results of discovery is invoked. For example, methods run, runTests, tags, expectedTestCount, runTest, and testNames all ensure that scopes and tests have already been discovered prior to doing anything else. Discovery is performed, and the results recorded, only once for each RefSpec instance.

    A scope names, or gives more information about, the subject (class or other entity) you are specifying and testing. In the previous example, `A Set` is the subject under specification and test. With each test name you provide a string (the test text) that specifies one bit of behavior of the subject, and a block of code (the body of the test method) that verifies that behavior.

    When you execute a RefSpec, it will send Formatters in the events it sends to the Reporter. ScalaTest's built-in reporters will report these events in such a way that the output is easy to read as an informal specification of the subject being tested. For example, were you to run SetSpec from within the Scala interpreter:

    scala> org.scalatest.run(new SetSpec)
    

    You would see:

    A Set
      when empty
      - should have size 0
      - should produce NoSuchElementException when head is invoked
    

    Or, to run just the test named A Set when empty should have size 0, you could pass that test's name, or any unique substring of the name, such as "size 0" or even just "0". Here's an example:

    scala> org.scalatest.run(new SetSuite, "size 0")
    A Set
      when empty
      - should have size 0
    

    You can also pass to execute a config map of key-value pairs, which will be passed down into suites and tests, as well as other parameters that configure the run itself. For more information on running in the Scala interpreter, see the documentation for the ScalaTest shell.

    The execute method invokes a run method that takes two parameters. This run method, which actually executes the suite, will usually be invoked by a test runner, such as run, tools.Runner, a build tool, or an IDE.

    The test methods shown in this example are parameterless. This is recommended even for test methods with obvious side effects. In production code you would normally declare no-arg, side-effecting methods as empty-paren methods, and call them with empty parentheses, to make it more obvious to readers of the code that they have a side effect. Whether or not a test method has a side effect, however, is a less important distinction than it is for methods in production code. Moreover, test methods are not normally invoked directly by client code, but rather through reflection by running the Suite that contains them, so a lack of parentheses on an invocation of a side-effecting test method would not normally appear in any client code. Given the empty parentheses do not add much value in the test methods case, the recommended style is to simply always leave them off.

    Note: The approach of using backticks around test method names to make it easier to write descriptive test names was inspired by the SimpleSpec test framework, originally created by Coda Hale.

    Ignored tests

    To support the common use case of temporarily disabling a test in a RefSpec, with the good intention of resurrecting the test at a later time, you can annotate the test method with @Ignore. For example, to temporarily disable the test method with the name `should have size zero", just annotate it with @Ignore, like this:

    package org.scalatest.examples.spec.ignore
    
    import org.scalatest._
    
    class SetSpec extends RefSpec {
    
      object `A Set` {
        object `when empty` {
          @Ignore def `should have size 0` {
            assert(Set.empty.size === 0)
          }
    
          def `should produce NoSuchElementException when head is invoked` {
            assertThrows[NoSuchElementException] {
              Set.empty.head
            }
          }
        }
      }
    }
    

    If you run this version of SetSpec with:

    scala> org.scalatest.run(new SetSpec)
    

    It will run only the second test and report that the first test was ignored:

    A Set
      when empty
      - should have size 0 !!! IGNORED !!!
      - should produce NoSuchElementException when head is invoked
    

    If you wish to temporarily ignore an entire suite of tests, you can annotate the test class with @Ignore, like this:

    package org.scalatest.examples.spec.ignoreall
    
    import org.scalatest._
    
    @Ignore
    class SetSpec extends RefSpec {
    
      object `A Set` {
        object `when empty` {
          def `should have size 0` {
            assert(Set.empty.size === 0)
          }
    
          def `should produce NoSuchElementException when head is invoked` {
            assertThrows[NoSuchElementException] {
              Set.empty.head
            }
          }
        }
      }
    }
    

    When you mark a test class with a tag annotation, ScalaTest will mark each test defined in that class with that tag. Thus, marking the SetSpec in the above example with the @Ignore tag annotation means that both tests in the class will be ignored. If you run the above SetSpec in the Scala interpreter, you'll see:

    scala> org.scalatest.run(new SetSpec)
    SetSpec:
    A Set
      when empty
      - should have size 0 !!! IGNORED !!!
      - should produce NoSuchElementException when head is invoked !!! IGNORED !!!
    

    Note that marking a test class as ignored won't prevent it from being discovered by ScalaTest. Ignored classes will be discovered and run, and all their tests will be reported as ignored. This is intended to keep the ignored class visible, to encourage the developers to eventually fix and “un-ignore” it. If you want to prevent a class from being discovered at all, use the DoNotDiscover annotation instead.

    Informers

    One of the objects to RefSpec's run method is a Reporter, which will collect and report information about the running suite of tests. Information about suites and tests that were run, whether tests succeeded or failed, and tests that were ignored will be passed to the Reporter as the suite runs. Most often the reporting done by default by RefSpec's methods will be sufficient, but occasionally you may wish to provide custom information to the Reporter from a test. For this purpose, an Informer that will forward information to the current Reporter is provided via the info parameterless method. You can pass the extra information to the Informer via one of its apply methods. The Informer will then pass the information to the Reporter via an InfoProvided event. Here's an example in which the Informer returned by info is used implicitly by the Given, When, and Then methods of trait GivenWhenThen:

    package org.scalatest.examples.spec.info
    
    import collection.mutable
    import org.scalatest._
    
    class SetSpec extends RefSpec with GivenWhenThen {
    
      object `A mutable Set` {
        def `should allow an element to be added` {
          Given("an empty mutable Set")
          val set = mutable.Set.empty[String]
    
          When("an element is added")
          set += "clarity"
    
          Then("the Set should have size 1")
          assert(set.size === 1)
    
          And("the Set should contain the added element")
          assert(set.contains("clarity"))
    
          info("That's all folks!")
        }
      }
    }
    

    If you run this RefSpec from the interpreter, you will see the following output:

    scala> org.scalatest.run(new SetSpec)
    A mutable Set
    - should allow an element to be added
      + Given an empty mutable Set
      + When an element is added
      + Then the Set should have size 1
      + And the Set should contain the added element
      + That's all folks! 
    

    Documenters

    RefSpec also provides a markup method that returns a Documenter, which allows you to send to the Reporter text formatted in Markdown syntax. You can pass the extra information to the Documenter via its apply method. The Documenter will then pass the information to the Reporter via an MarkupProvided event.

    Here's an example RefSpec that uses markup:

    package org.scalatest.examples.spec.markup
    
    import collection.mutable
    import org.scalatest._
    
    class SetSpec extends RefSpec with GivenWhenThen {
    
      markup { """
    
    Mutable Set
    -----------
    
    A set is a collection that contains no duplicate elements.
    
    To implement a concrete mutable set, you need to provide implementations
    of the following methods:
    
        def contains(elem: A): Boolean
        def iterator: Iterator[A]
        def += (elem: A): this.type
        def -= (elem: A): this.type
    
    If you wish that methods like `take`,
    `drop`, `filter` return the same kind of set,
    you should also override:
    
        def empty: This
    
    It is also good idea to override methods `foreach` and
    `size` for efficiency.
    
      """ }
    
      object `A mutable Set` {
        def `should allow an element to be added` {
          Given("an empty mutable Set")
          val set = mutable.Set.empty[String]
    
          When("an element is added")
          set += "clarity"
    
          Then("the Set should have size 1")
          assert(set.size === 1)
    
          And("the Set should contain the added element")
          assert(set.contains("clarity"))
    
          markup("This test finished with a **bold** statement!")
        }
      }
    }
    

    Although all of ScalaTest's built-in reporters will display the markup text in some form, the HTML reporter will format the markup information into HTML. Thus, the main purpose of markup is to add nicely formatted text to HTML reports. Here's what the above SetSpec would look like in the HTML reporter:

    Notifiers and alerters

    ScalaTest records text passed to info and markup during tests, and sends the recorded text in the recordedEvents field of test completion events like TestSucceeded and TestFailed. This allows string reporters (like the standard out reporter) to show info and markup text after the test name in a color determined by the outcome of the test. For example, if the test fails, string reporters will show the info and markup text in red. If a test succeeds, string reporters will show the info and markup text in green. While this approach helps the readability of reports, it means that you can't use info to get status updates from long running tests.

    To get immediate (i.e., non-recorded) notifications from tests, you can use note (a Notifier) and alert (an Alerter). Here's an example showing the differences:

    package org.scalatest.examples.spec.note
    
    import collection.mutable
    import org.scalatest._
    
    class SetSpec extends RefSpec {
    
      object `A mutable Set` {
        def `should allow an element to be added` {
    
          info("info is recorded")
          markup("markup is *also* recorded")
          note("notes are sent immediately")
          alert("alerts are also sent immediately")
    
          val set = mutable.Set.empty[String]
          set += "clarity"
          assert(set.size === 1)
          assert(set.contains("clarity"))
        }
      }
    }
    

    Because note and alert information is sent immediately, it will appear before the test name in string reporters, and its color will be unrelated to the ultimate outcome of the test: note text will always appear in green, alert text will always appear in yellow. Here's an example:

    scala> org.scalatest.run(new SetSpec)
    SetSpec:
    A mutable Set
      + notes are sent immediately
      + alerts are also sent immediately
    - should allow an element to be added
      + info is recorded
      + markup is *also* recorded
    

    Another example is slowpoke notifications. If you find a test is taking a long time to complete, but you're not sure which test, you can enable slowpoke notifications. ScalaTest will use an Alerter to fire an event whenever a test has been running longer than a specified amount of time.

    In summary, use info and markup for text that should form part of the specification output. Use note and alert to send status notifications. (Because the HTML reporter is intended to produce a readable, printable specification, info and markup text will appear in the HTML report, but note and alert text will not.)

    Pending tests

    A pending test is one that has been given a name but is not yet implemented. The purpose of pending tests is to facilitate a style of testing in which documentation of behavior is sketched out before tests are written to verify that behavior (and often, before the behavior of the system being tested is itself implemented). Such sketches form a kind of specification of what tests and functionality to implement later.

    To support this style of testing, a test can be given a name that specifies one bit of behavior required by the system being tested. The test can also include some code that sends more information about the behavior to the reporter when the tests run. At the end of the test, it can call method pending, which will cause it to complete abruptly with TestPendingException.

    Because tests in ScalaTest can be designated as pending with TestPendingException, both the test name and any information sent to the reporter when running the test can appear in the report of a test run. (The code of a pending test is executed just like any other test.) However, because the test completes abruptly with TestPendingException, the test will be reported as pending, to indicate the actual test, and possibly the functionality, has not yet been implemented.

    You can mark a test as pending in RefSpec by using "{ pending }" as the body of the test method, like this:

    package org.scalatest.examples.spec.pending
    
    import org.scalatest._
    
    class SetSpec extends RefSpec {
    
      object `A Set` {
        object `when empty` {
          def `should have size 0` { pending }
    
          def `should produce NoSuchElementException when head is invoked` {
            assertThrows[NoSuchElementException] {
              Set.empty.head
            }
          }
        }
      }
    }
    

    (Note: “pending” is the body of the test. Thus the test contains just one statement, an invocation of the pending method, which throws TestPendingException.) If you run this version of SetSpec with:

    scala> org.scalatest.run(new SetSpec)
    

    It will run both tests, but report that test "should have size 0" is pending. You'll see:

    A Set
      when empty
      - should have size 0 (pending)
      - should produce NoSuchElementException when head is invoked
    

    Tagging tests

    A RefSpec's tests may be classified into groups by tagging them with string names. When executing a RefSpec, groups of tests can optionally be included and/or excluded. In this trait's implementation, tags are indicated by annotations attached to the test method. To create a new tag type to use in RefSpecs, simply define a new Java annotation that itself is annotated with the org.scalatest.TagAnnotation annotation. (Currently, for annotations to be visible in Scala programs via Java reflection, the annotations themselves must be written in Java.) For example, to create tags named SlowTest and DbTest, you would write in Java:

    package org.scalatest.examples.spec.tagging;
    import java.lang.annotation.*;
    import org.scalatest.TagAnnotation;
    
    @TagAnnotation
    @Retention(RetentionPolicy.RUNTIME)
    @Target({ElementType.METHOD, ElementType.TYPE})
    public @interface SlowTest {}
    
    @TagAnnotation
    @Retention(RetentionPolicy.RUNTIME)
    @Target({ElementType.METHOD, ElementType.TYPE})
    public @interface DbTest {}
    

    Given these annotations, you could tag RefSpec tests like this:

    package org.scalatest.examples.spec.tagging
    
    import org.scalatest.RefSpec
    
    class SetSpec extends RefSpec {
    
      object `A Set` {
        object `when empty` {
    
          @SlowTest
          def `should have size 0` {
            assert(Set.empty.size === 0)
          }
    
          @SlowTest @DbTest
          def `should produce NoSuchElementException when head is invoked` {
            assertThrows[NoSuchElementException] {
              Set.empty.head
            }
          }
        }
      }
    }
    

    The run method takes a Filter, whose constructor takes an optional Set[String] called tagsToInclude and a Set[String] called tagsToExclude. If tagsToInclude is None, all tests will be run except those those with tags listed in the tagsToExclude Set. If tagsToInclude is defined, only tests with tags mentioned in the tagsToInclude set, and not mentioned in tagsToExclude, will be run.

    A tag annotation also allows you to tag all the tests of a RefSpec in one stroke by annotating the class. For more information and examples, see the documentation for class Tag.

    Shared fixtures

    A test fixture is composed of the objects and other artifacts (files, sockets, database connections, etc.) tests use to do their work. When multiple tests need to work with the same fixtures, it is important to try and avoid duplicating the fixture code across those tests. The more code duplication you have in your tests, the greater drag the tests will have on refactoring the actual production code.

    ScalaTest recommends three techniques to eliminate such code duplication:

    • Refactor using Scala
    • Override withFixture
    • Mix in a before-and-after trait

    Each technique is geared towards helping you reduce code duplication without introducing instance vars, shared mutable objects, or other dependencies between tests. Eliminating shared mutable state across tests will make your test code easier to reason about and more amenable for parallel test execution.

    The following sections describe these techniques, including explaining the recommended usage for each. But first, here's a table summarizing the options:

    Refactor using Scala when different tests need different fixtures.
    get-fixture methods The extract method refactor helps you create a fresh instances of mutable fixture objects in each test that needs them, but doesn't help you clean them up when you're done.
    fixture-context objects By placing fixture methods and fields into traits, you can easily give each test just the newly created fixtures it needs by mixing together traits. Use this technique when you need different combinations of mutable fixture objects in different tests, and don't need to clean up after.
    loan-fixture methods Factor out dupicate code with the loan pattern when different tests need different fixtures that must be cleaned up afterwards.
    Override withFixture when most or all tests need the same fixture.
    withFixture(NoArgTest) The recommended default approach when most or all tests need the same fixture treatment. This general technique allows you, for example, to perform side effects at the beginning and end of all or most tests, transform the outcome of tests, retry tests, make decisions based on test names, tags, or other test data. Use this technique unless:
    Different tests need different fixtures (refactor using Scala instead)
    An exception in fixture code should abort the suite, not fail the test (use a before-and-after trait instead)
    You have objects to pass into tests (override withFixture(OneArgTest) instead)
    withFixture(OneArgTest) Use when you want to pass the same fixture object or objects as a parameter into all or most tests.
    Mix in a before-and-after trait when you want an aborted suite, not a failed test, if the fixture code fails.
    BeforeAndAfter Use this boilerplate-buster when you need to perform the same side-effects before and/or after tests, rather than at the beginning or end of tests.
    BeforeAndAfterEach Use when you want to stack traits that perform the same side-effects before and/or after tests, rather than at the beginning or end of tests.

    Calling get-fixture methods

    If you need to create the same mutable fixture objects in multiple tests, and don't need to clean them up after using them, the simplest approach is to write one or more get-fixture methods. A get-fixture method returns a new instance of a needed fixture object (or a holder object containing multiple fixture objects) each time it is called. You can call a get-fixture method at the beginning of each test that needs the fixture, storing the returned object or objects in local variables. Here's an example:

    package org.scalatest.examples.spec.getfixture
    
    import org.scalatest.RefSpec
    import collection.mutable.ListBuffer
    
    class ExampleSpec extends RefSpec {
    
      class Fixture {
        val builder = new StringBuilder("ScalaTest is ")
        val buffer = new ListBuffer[String]
      }
    
      def fixture = new Fixture
    
      object `Testing ` {
        def `should be easy` {
          val f = fixture
          f.builder.append("easy!")
          assert(f.builder.toString === "ScalaTest is easy!")
          assert(f.buffer.isEmpty)
          f.buffer += "sweet"
        }
    
        def `should be fun` {
          val f = fixture
          f.builder.append("fun!")
          assert(f.builder.toString === "ScalaTest is fun!")
          assert(f.buffer.isEmpty)
        }
      }
    }
    

    The “f.” in front of each use of a fixture object provides a visual indication of which objects are part of the fixture, but if you prefer, you can import the the members with “import f._” and use the names directly.

    If you need to configure fixture objects differently in different tests, you can pass configuration into the get-fixture method. For example, you could pass in an initial value for a mutable fixture object as a parameter to the get-fixture method.

    Instantiating fixture-context objects

    An alternate technique that is especially useful when different tests need different combinations of fixture objects is to define the fixture objects as instance variables of fixture-context objects whose instantiation forms the body of tests. Like get-fixture methods, fixture-context objects are only appropriate if you don't need to clean up the fixtures after using them.

    To use this technique, you define instance variables intialized with fixture objects in traits and/or classes, then in each test instantiate an object that contains just the fixture objects needed by the test. Traits allow you to mix together just the fixture objects needed by each test, whereas classes allow you to pass data in via a constructor to configure the fixture objects. Here's an example in which fixture objects are partitioned into two traits and each test just mixes together the traits it needs:

    package org.scalatest.examples.spec.fixturecontext
    
    import collection.mutable.ListBuffer
    import org.scalatest.RefSpec
    
    class ExampleSpec extends RefSpec {
    
      trait Builder {
        val builder = new StringBuilder("ScalaTest is ")
      }
    
      trait Buffer {
        val buffer = ListBuffer("ScalaTest", "is")
      }
    
      object `Testing ` {
        // This test needs the StringBuilder fixture
        def `should be productive` {
          new Builder {
            builder.append("productive!")
            assert(builder.toString === "ScalaTest is productive!")
          }
        }
      }
    
      object `Test code` {
        // This test needs the ListBuffer[String] fixture
        def `should be readable` {
          new Buffer {
            buffer += ("readable!")
            assert(buffer === List("ScalaTest", "is", "readable!"))
          }
        }
    
        // This test needs both the StringBuilder and ListBuffer
        def `should be clear and concise` {
          new Builder with Buffer {
            builder.append("clear!")
            buffer += ("concise!")
            assert(builder.toString === "ScalaTest is clear!")
            assert(buffer === List("ScalaTest", "is", "concise!"))
          }
        }
      }
    }
    

    Overriding withFixture(NoArgTest)

    Although the get-fixture method and fixture-context object approaches take care of setting up a fixture at the beginning of each test, they don't address the problem of cleaning up a fixture at the end of the test. If you just need to perform a side-effect at the beginning or end of a test, and don't need to actually pass any fixture objects into the test, you can override withFixture(NoArgTest), one of ScalaTest's lifecycle methods defined in trait Suite.

    Trait Suite's implementation of runTest passes a no-arg test function to withFixture(NoArgTest). It is withFixture's responsibility to invoke that test function. Suite's implementation of withFixture simply invokes the function, like this:

    // Default implementation in trait Suite
    protected def withFixture(test: NoArgTest) = {
      test()
    }
    

    You can, therefore, override withFixture to perform setup before and/or cleanup after invoking the test function. If you have cleanup to perform, you should invoke the test function inside a try block and perform the cleanup in a finally clause, in case an exception propagates back through withFixture. (If a test fails because of an exception, the test function invoked by withFixture will result in a Failed wrapping the exception. Nevertheless, best practice is to perform cleanup in a finally clause just in case an exception occurs.)

    The withFixture method is designed to be stacked, and to enable this, you should always call the super implementation of withFixture, and let it invoke the test function rather than invoking the test function directly. In other words, instead of writing “test()”, you should write “super.withFixture(test)”, like this:

    // Your implementation
    override def withFixture(test: NoArgTest) = {
      // Perform setup
      try super.withFixture(test) // Invoke the test function
      finally {
        // Perform cleanup
      }
    }
    

    Here's an example in which withFixture(NoArgTest) is used to take a snapshot of the working directory if a test fails, and and send that information to the reporter:

    package org.scalatest.examples.spec.noargtest
    
    import java.io.File
    import org.scalatest._
    
    class ExampleSpec extends RefSpec {
    
      override def withFixture(test: NoArgTest) = {
    
        super.withFixture(test) match {
          case failed: Failed =>
            val currDir = new File(".")
            val fileNames = currDir.list()
            info("Dir snapshot: " + fileNames.mkString(", "))
            failed
          case other => other
        }
      }
    
      object `This test` {
        def `should succeed` {
          assert(1 + 1 === 2)
        }
    
        def `should fail` {
          assert(1 + 1 === 3)
        }
      }
    }
    

    Running this version of ExampleSuite in the interpreter in a directory with two files, hello.txt and world.txt would give the following output:

    scala> org.scalatest.run(new ExampleSuite)
    ExampleSuite:
    This test
    - should fail *** FAILED ***
      2 did not equal 3 (:33)
      + Dir snapshot: hello.txt, world.txt 
    - should succeed
    

    Note that the NoArgTest passed to withFixture, in addition to an apply method that executes the test, also includes the test name and the config map passed to runTest. Thus you can also use the test name and configuration objects in your withFixture implementation.

    Calling loan-fixture methods

    If you need to both pass a fixture object into a test and perform cleanup at the end of the test, you'll need to use the loan pattern. If different tests need different fixtures that require cleanup, you can implement the loan pattern directly by writing loan-fixture methods. A loan-fixture method takes a function whose body forms part or all of a test's code. It creates a fixture, passes it to the test code by invoking the function, then cleans up the fixture after the function returns.

    The following example shows three tests that use two fixtures, a database and a file. Both require cleanup after, so each is provided via a loan-fixture method. (In this example, the database is simulated with a StringBuffer.)

    package org.scalatest.examples.spec.loanfixture
    
    import java.util.concurrent.ConcurrentHashMap
    
    object DbServer { // Simulating a database server
      type Db = StringBuffer
      private val databases = new ConcurrentHashMap[String, Db]
      def createDb(name: String): Db = {
        val db = new StringBuffer
        databases.put(name, db)
        db
      }
      def removeDb(name: String) {
        databases.remove(name)
      }
    }
    
    import org.scalatest.RefSpec
    import DbServer._
    import java.util.UUID.randomUUID
    import java.io._
    
    class ExampleSpec extends RefSpec {
    
      def withDatabase(testCode: Db => Any) {
        val dbName = randomUUID.toString
        val db = createDb(dbName) // create the fixture
        try {
          db.append("ScalaTest is ") // perform setup
          testCode(db) // "loan" the fixture to the test
        }
        finally removeDb(dbName) // clean up the fixture
      }
    
      def withFile(testCode: (File, FileWriter) => Any) {
        val file = File.createTempFile("hello", "world") // create the fixture
        val writer = new FileWriter(file)
        try {
          writer.write("ScalaTest is ") // set up the fixture
          testCode(file, writer) // "loan" the fixture to the test
        }
        finally writer.close() // clean up the fixture
      }
    
      object `Testing ` {
        // This test needs the file fixture
        def `should be productive` {
          withFile { (file, writer) =>
            writer.write("productive!")
            writer.flush()
            assert(file.length === 24)
          }
        }
      }
    
      object `Test code` {
        // This test needs the database fixture
        def `should be readable` {
          withDatabase { db =>
            db.append("readable!")
            assert(db.toString === "ScalaTest is readable!")
          }
        }
    
        // This test needs both the file and the database
        def `should be clear and concise` {
          withDatabase { db =>
           withFile { (file, writer) => // loan-fixture methods compose
              db.append("clear!")
              writer.write("concise!")
              writer.flush()
              assert(db.toString === "ScalaTest is clear!")
              assert(file.length === 21)
            }
          }
        }
      }
    }
    

    As demonstrated by the last test, loan-fixture methods compose. Not only do loan-fixture methods allow you to give each test the fixture it needs, they allow you to give a test multiple fixtures and clean everything up afterwards.

    Also demonstrated in this example is the technique of giving each test its own "fixture sandbox" to play in. When your fixtures involve external side-effects, like creating files or databases, it is a good idea to give each file or database a unique name as is done in this example. This keeps tests completely isolated, allowing you to run them in parallel if desired.

    Overriding withFixture(OneArgTest)

    fixture.Spec is deprecated, please use fixture.FunSpec instead.

    Mixing in BeforeAndAfter

    In all the shared fixture examples shown so far, the activities of creating, setting up, and cleaning up the fixture objects have been performed during the test. This means that if an exception occurs during any of these activities, it will be reported as a test failure. Sometimes, however, you may want setup to happen before the test starts, and cleanup after the test has completed, so that if an exception occurs during setup or cleanup, the entire suite aborts and no more tests are attempted. The simplest way to accomplish this in ScalaTest is to mix in trait BeforeAndAfter. With this trait you can denote a bit of code to run before each test with before and/or after each test each test with after, like this:

    package org.scalatest.examples.spec.beforeandafter
    
    import org.scalatest.RefSpec
    import org.scalatest.BeforeAndAfter
    import collection.mutable.ListBuffer
    
    class ExampleSpec extends RefSpec with BeforeAndAfter {
    
      val builder = new StringBuilder
      val buffer = new ListBuffer[String]
    
      before {
        builder.append("ScalaTest is ")
      }
    
      after {
        builder.clear()
        buffer.clear()
      }
    
      object `Testing ` {
        def `should be easy` {
          builder.append("easy!")
          assert(builder.toString === "ScalaTest is easy!")
          assert(buffer.isEmpty)
          buffer += "sweet"
        }
    
        def `should be fun` {
          builder.append("fun!")
          assert(builder.toString === "ScalaTest is fun!")
          assert(buffer.isEmpty)
        }
      }
    }
    

    Note that the only way before and after code can communicate with test code is via some side-effecting mechanism, commonly by reassigning instance vars or by changing the state of mutable objects held from instance vals (as in this example). If using instance vars or mutable objects held from instance vals you wouldn't be able to run tests in parallel in the same instance of the test class unless you synchronized access to the shared, mutable state. This is why ScalaTest's ParallelTestExecution trait extends OneInstancePerTest. By running each test in its own instance of the class, each test has its own copy of the instance variables, so you don't need to synchronize. If you mixed ParallelTestExecution into the ExampleSuite above, the tests would run in parallel just fine without any synchronization needed on the mutable StringBuilder and ListBuffer[String] objects.

    Although BeforeAndAfter provides a minimal-boilerplate way to execute code before and after tests, it isn't designed to enable stackable traits, because the order of execution would be non-obvious. If you want to factor out before and after code that is common to multiple test suites, you should use trait BeforeAndAfterEach instead, as shown later in the next section, composing fixtures by stacking traits.

    Composing fixtures by stacking traits

    In larger projects, teams often end up with several different fixtures that test classes need in different combinations, and possibly initialized (and cleaned up) in different orders. A good way to accomplish this in ScalaTest is to factor the individual fixtures into traits that can be composed using the stackable trait pattern. This can be done, for example, by placing withFixture methods in several traits, each of which call super.withFixture. Here's an example in which the StringBuilder and ListBuffer[String] fixtures used in the previous examples have been factored out into two stackable fixture traits named Builder and Buffer:

    package org.scalatest.examples.spec.composingwithfixture
    
    import org.scalatest._
    import collection.mutable.ListBuffer
    
    trait Builder extends TestSuiteMixin { this: TestSuite =>
    
      val builder = new StringBuilder
    
      abstract override def withFixture(test: NoArgTest) = {
        builder.append("ScalaTest is ")
        try super.withFixture(test) // To be stackable, must call super.withFixture
        finally builder.clear()
      }
    }
    
    trait Buffer extends TestSuiteMixin { this: TestSuite =>
    
      val buffer = new ListBuffer[String]
    
      abstract override def withFixture(test: NoArgTest) = {
        try super.withFixture(test) // To be stackable, must call super.withFixture
        finally buffer.clear()
      }
    }
    
    class ExampleSpec extends RefSpec with Builder with Buffer {
    
      object `Testing ` {
        def `should be easy` {
          builder.append("easy!")
          assert(builder.toString === "ScalaTest is easy!")
          assert(buffer.isEmpty)
          buffer += "sweet"
        }
    
        def `should be fun` {
          builder.append("fun!")
          assert(builder.toString === "ScalaTest is fun!")
          assert(buffer.isEmpty)
          buffer += "clear"
        }
      }
    }
    

    By mixing in both the Builder and Buffer traits, ExampleSpec gets both fixtures, which will be initialized before each test and cleaned up after. The order the traits are mixed together determines the order of execution. In this case, Builder is “super” to Buffer. If you wanted Buffer to be “super” to Builder, you need only switch the order you mix them together, like this:

    class Example2Spec extends RefSpec with Buffer with Builder
    

    And if you only need one fixture you mix in only that trait:

    class Example3Spec extends RefSpec with Builder
    

    Another way to create stackable fixture traits is by extending the BeforeAndAfterEach and/or BeforeAndAfterAll traits. BeforeAndAfterEach has a beforeEach method that will be run before each test (like JUnit's setUp), and an afterEach method that will be run after (like JUnit's tearDown). Similarly, BeforeAndAfterAll has a beforeAll method that will be run before all tests, and an afterAll method that will be run after all tests. Here's what the previously shown example would look like if it were rewritten to use the BeforeAndAfterEach methods instead of withFixture:

    package org.scalatest.examples.spec.composingbeforeandaftereach
    
    import org.scalatest._
    import org.scalatest.BeforeAndAfterEach
    import collection.mutable.ListBuffer
    
    trait Builder extends BeforeAndAfterEach { this: Suite =>
    
      val builder = new StringBuilder
    
      override def beforeEach() {
        builder.append("ScalaTest is ")
        super.beforeEach() // To be stackable, must call super.beforeEach
      }
    
      override def afterEach() {
        try super.afterEach() // To be stackable, must call super.afterEach
        finally builder.clear()
      }
    }
    
    trait Buffer extends BeforeAndAfterEach { this: Suite =>
    
      val buffer = new ListBuffer[String]
    
      override def afterEach() {
        try super.afterEach() // To be stackable, must call super.afterEach
        finally buffer.clear()
      }
    }
    
    class ExampleSpec extends RefSpec with Builder with Buffer {
    
      object `Testing ` {
        def `should be easy` {
          builder.append("easy!")
          assert(builder.toString === "ScalaTest is easy!")
          assert(buffer.isEmpty)
          buffer += "sweet"
        }
    
        def `should be fun` {
          builder.append("fun!")
          assert(builder.toString === "ScalaTest is fun!")
          assert(buffer.isEmpty)
          buffer += "clear"
        }
      }
    }
    

    To get the same ordering as withFixture, place your super.beforeEach call at the end of each beforeEach method, and the super.afterEach call at the beginning of each afterEach method, as shown in the previous example. It is a good idea to invoke super.afterEach in a try block and perform cleanup in a finally clause, as shown in the previous example, because this ensures the cleanup code is performed even if super.afterEach throws an exception.

    The difference between stacking traits that extend BeforeAndAfterEach versus traits that implement withFixture is that setup and cleanup code happens before and after the test in BeforeAndAfterEach, but at the beginning and end of the test in withFixture. Thus if a withFixture method completes abruptly with an exception, it is considered a failed test. By contrast, if any of the beforeEach or afterEach methods of BeforeAndAfterEach complete abruptly, it is considered an aborted suite, which will result in a SuiteAborted event.

    Shared tests

    Because RefSpec represents tests as methods, you cannot share or otherwise dynamically generate tests. Instead, use static code generation if you want to generate tests in a RefSpec. In other words, write a program that statically generates the entire source file of a RefSpec subclass.

  2. trait RefSpecLike extends TestSuite with Informing with Notifying with Alerting with Documenting

    Implementation trait for class RefSpec, which facilitates a “behavior-driven” style of development (BDD), in which tests are methods, optionally nested inside singleton objects defining textual scopes.

    Implementation trait for class RefSpec, which facilitates a “behavior-driven” style of development (BDD), in which tests are methods, optionally nested inside singleton objects defining textual scopes.

    RefSpec is a class, not a trait, to minimize compile time given there is a slight compiler overhead to mixing in traits compared to extending classes. If you need to mix the behavior of RefSpec into some other class, you can use this trait instead, because class RefSpec does nothing more than extend this trait and add a nice toString implementation.

    See the documentation of the class for a detailed overview of RefSpec.

Ungrouped