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  1. # gMock for Dummies
  2. ## What Is gMock?
  3. When you write a prototype or test, often it's not feasible or wise to rely on
  4. real objects entirely. A **mock object** implements the same interface as a real
  5. object (so it can be used as one), but lets you specify at run time how it will
  6. be used and what it should do (which methods will be called? in which order? how
  7. many times? with what arguments? what will they return? etc).
  8. It is easy to confuse the term *fake objects* with mock objects. Fakes and mocks
  9. actually mean very different things in the Test-Driven Development (TDD)
  10. community:
  11. * **Fake** objects have working implementations, but usually take some
  12. shortcut (perhaps to make the operations less expensive), which makes them
  13. not suitable for production. An in-memory file system would be an example of
  14. a fake.
  15. * **Mocks** are objects pre-programmed with *expectations*, which form a
  16. specification of the calls they are expected to receive.
  17. If all this seems too abstract for you, don't worry - the most important thing
  18. to remember is that a mock allows you to check the *interaction* between itself
  19. and code that uses it. The difference between fakes and mocks shall become much
  20. clearer once you start to use mocks.
  21. **gMock** is a library (sometimes we also call it a "framework" to make it sound
  22. cool) for creating mock classes and using them. It does to C++ what
  23. jMock/EasyMock does to Java (well, more or less).
  24. When using gMock,
  25. 1. first, you use some simple macros to describe the interface you want to
  26. mock, and they will expand to the implementation of your mock class;
  27. 2. next, you create some mock objects and specify its expectations and behavior
  28. using an intuitive syntax;
  29. 3. then you exercise code that uses the mock objects. gMock will catch any
  30. violation to the expectations as soon as it arises.
  31. ## Why gMock?
  32. While mock objects help you remove unnecessary dependencies in tests and make
  33. them fast and reliable, using mocks manually in C++ is *hard*:
  34. * Someone has to implement the mocks. The job is usually tedious and
  35. error-prone. No wonder people go great distance to avoid it.
  36. * The quality of those manually written mocks is a bit, uh, unpredictable. You
  37. may see some really polished ones, but you may also see some that were
  38. hacked up in a hurry and have all sorts of ad hoc restrictions.
  39. * The knowledge you gained from using one mock doesn't transfer to the next
  40. one.
  41. In contrast, Java and Python programmers have some fine mock frameworks (jMock,
  42. EasyMock, etc), which automate the creation of mocks. As a result, mocking is a
  43. proven effective technique and widely adopted practice in those communities.
  44. Having the right tool absolutely makes the difference.
  45. gMock was built to help C++ programmers. It was inspired by jMock and EasyMock,
  46. but designed with C++'s specifics in mind. It is your friend if any of the
  47. following problems is bothering you:
  48. * You are stuck with a sub-optimal design and wish you had done more
  49. prototyping before it was too late, but prototyping in C++ is by no means
  50. "rapid".
  51. * Your tests are slow as they depend on too many libraries or use expensive
  52. resources (e.g. a database).
  53. * Your tests are brittle as some resources they use are unreliable (e.g. the
  54. network).
  55. * You want to test how your code handles a failure (e.g. a file checksum
  56. error), but it's not easy to cause one.
  57. * You need to make sure that your module interacts with other modules in the
  58. right way, but it's hard to observe the interaction; therefore you resort to
  59. observing the side effects at the end of the action, but it's awkward at
  60. best.
  61. * You want to "mock out" your dependencies, except that they don't have mock
  62. implementations yet; and, frankly, you aren't thrilled by some of those
  63. hand-written mocks.
  64. We encourage you to use gMock as
  65. * a *design* tool, for it lets you experiment with your interface design early
  66. and often. More iterations lead to better designs!
  67. * a *testing* tool to cut your tests' outbound dependencies and probe the
  68. interaction between your module and its collaborators.
  69. ## Getting Started
  70. gMock is bundled with googletest.
  71. ## A Case for Mock Turtles
  72. Let's look at an example. Suppose you are developing a graphics program that
  73. relies on a [LOGO](http://en.wikipedia.org/wiki/Logo_programming_language)-like
  74. API for drawing. How would you test that it does the right thing? Well, you can
  75. run it and compare the screen with a golden screen snapshot, but let's admit it:
  76. tests like this are expensive to run and fragile (What if you just upgraded to a
  77. shiny new graphics card that has better anti-aliasing? Suddenly you have to
  78. update all your golden images.). It would be too painful if all your tests are
  79. like this. Fortunately, you learned about
  80. [Dependency Injection](http://en.wikipedia.org/wiki/Dependency_injection) and know the right thing
  81. to do: instead of having your application talk to the system API directly, wrap
  82. the API in an interface (say, `Turtle`) and code to that interface:
  83. ```cpp
  84. class Turtle {
  85. ...
  86. virtual ~Turtle() {}
  87. virtual void PenUp() = 0;
  88. virtual void PenDown() = 0;
  89. virtual void Forward(int distance) = 0;
  90. virtual void Turn(int degrees) = 0;
  91. virtual void GoTo(int x, int y) = 0;
  92. virtual int GetX() const = 0;
  93. virtual int GetY() const = 0;
  94. };
  95. ```
  96. (Note that the destructor of `Turtle` **must** be virtual, as is the case for
  97. **all** classes you intend to inherit from - otherwise the destructor of the
  98. derived class will not be called when you delete an object through a base
  99. pointer, and you'll get corrupted program states like memory leaks.)
  100. You can control whether the turtle's movement will leave a trace using `PenUp()`
  101. and `PenDown()`, and control its movement using `Forward()`, `Turn()`, and
  102. `GoTo()`. Finally, `GetX()` and `GetY()` tell you the current position of the
  103. turtle.
  104. Your program will normally use a real implementation of this interface. In
  105. tests, you can use a mock implementation instead. This allows you to easily
  106. check what drawing primitives your program is calling, with what arguments, and
  107. in which order. Tests written this way are much more robust (they won't break
  108. because your new machine does anti-aliasing differently), easier to read and
  109. maintain (the intent of a test is expressed in the code, not in some binary
  110. images), and run *much, much faster*.
  111. ## Writing the Mock Class
  112. If you are lucky, the mocks you need to use have already been implemented by
  113. some nice people. If, however, you find yourself in the position to write a mock
  114. class, relax - gMock turns this task into a fun game! (Well, almost.)
  115. ### How to Define It
  116. Using the `Turtle` interface as example, here are the simple steps you need to
  117. follow:
  118. * Derive a class `MockTurtle` from `Turtle`.
  119. * Take a *virtual* function of `Turtle` (while it's possible to
  120. [mock non-virtual methods using templates](gmock_cook_book.md#MockingNonVirtualMethods),
  121. it's much more involved).
  122. * In the `public:` section of the child class, write `MOCK_METHOD();`
  123. * Now comes the fun part: you take the function signature, cut-and-paste it
  124. into the macro, and add two commas - one between the return type and the
  125. name, another between the name and the argument list.
  126. * If you're mocking a const method, add a 4th parameter containing `(const)`
  127. (the parentheses are required).
  128. * Since you're overriding a virtual method, we suggest adding the `override`
  129. keyword. For const methods the 4th parameter becomes `(const, override)`,
  130. for non-const methods just `(override)`. This isn't mandatory.
  131. * Repeat until all virtual functions you want to mock are done. (It goes
  132. without saying that *all* pure virtual methods in your abstract class must
  133. be either mocked or overridden.)
  134. After the process, you should have something like:
  135. ```cpp
  136. #include "gmock/gmock.h" // Brings in gMock.
  137. class MockTurtle : public Turtle {
  138. public:
  139. ...
  140. MOCK_METHOD(void, PenUp, (), (override));
  141. MOCK_METHOD(void, PenDown, (), (override));
  142. MOCK_METHOD(void, Forward, (int distance), (override));
  143. MOCK_METHOD(void, Turn, (int degrees), (override));
  144. MOCK_METHOD(void, GoTo, (int x, int y), (override));
  145. MOCK_METHOD(int, GetX, (), (const, override));
  146. MOCK_METHOD(int, GetY, (), (const, override));
  147. };
  148. ```
  149. You don't need to define these mock methods somewhere else - the `MOCK_METHOD`
  150. macro will generate the definitions for you. It's that simple!
  151. ### Where to Put It
  152. When you define a mock class, you need to decide where to put its definition.
  153. Some people put it in a `_test.cc`. This is fine when the interface being mocked
  154. (say, `Foo`) is owned by the same person or team. Otherwise, when the owner of
  155. `Foo` changes it, your test could break. (You can't really expect `Foo`'s
  156. maintainer to fix every test that uses `Foo`, can you?)
  157. So, the rule of thumb is: if you need to mock `Foo` and it's owned by others,
  158. define the mock class in `Foo`'s package (better, in a `testing` sub-package
  159. such that you can clearly separate production code and testing utilities), put
  160. it in a `.h` and a `cc_library`. Then everyone can reference them from their
  161. tests. If `Foo` ever changes, there is only one copy of `MockFoo` to change, and
  162. only tests that depend on the changed methods need to be fixed.
  163. Another way to do it: you can introduce a thin layer `FooAdaptor` on top of
  164. `Foo` and code to this new interface. Since you own `FooAdaptor`, you can absorb
  165. changes in `Foo` much more easily. While this is more work initially, carefully
  166. choosing the adaptor interface can make your code easier to write and more
  167. readable (a net win in the long run), as you can choose `FooAdaptor` to fit your
  168. specific domain much better than `Foo` does.
  169. ## Using Mocks in Tests
  170. Once you have a mock class, using it is easy. The typical work flow is:
  171. 1. Import the gMock names from the `testing` namespace such that you can use
  172. them unqualified (You only have to do it once per file). Remember that
  173. namespaces are a good idea.
  174. 2. Create some mock objects.
  175. 3. Specify your expectations on them (How many times will a method be called?
  176. With what arguments? What should it do? etc.).
  177. 4. Exercise some code that uses the mocks; optionally, check the result using
  178. googletest assertions. If a mock method is called more than expected or with
  179. wrong arguments, you'll get an error immediately.
  180. 5. When a mock is destructed, gMock will automatically check whether all
  181. expectations on it have been satisfied.
  182. Here's an example:
  183. ```cpp
  184. #include "path/to/mock-turtle.h"
  185. #include "gmock/gmock.h"
  186. #include "gtest/gtest.h"
  187. using ::testing::AtLeast; // #1
  188. TEST(PainterTest, CanDrawSomething) {
  189. MockTurtle turtle; // #2
  190. EXPECT_CALL(turtle, PenDown()) // #3
  191. .Times(AtLeast(1));
  192. Painter painter(&turtle); // #4
  193. EXPECT_TRUE(painter.DrawCircle(0, 0, 10)); // #5
  194. }
  195. ```
  196. As you might have guessed, this test checks that `PenDown()` is called at least
  197. once. If the `painter` object didn't call this method, your test will fail with
  198. a message like this:
  199. ```text
  200. path/to/my_test.cc:119: Failure
  201. Actual function call count doesn't match this expectation:
  202. Actually: never called;
  203. Expected: called at least once.
  204. Stack trace:
  205. ...
  206. ```
  207. **Tip 1:** If you run the test from an Emacs buffer, you can hit `<Enter>` on
  208. the line number to jump right to the failed expectation.
  209. **Tip 2:** If your mock objects are never deleted, the final verification won't
  210. happen. Therefore it's a good idea to turn on the heap checker in your tests
  211. when you allocate mocks on the heap. You get that automatically if you use the
  212. `gtest_main` library already.
  213. **Important note:** gMock requires expectations to be set **before** the mock
  214. functions are called, otherwise the behavior is **undefined**. Do not alternate
  215. between calls to `EXPECT_CALL()` and calls to the mock functions, and do not set
  216. any expectations on a mock after passing the mock to an API.
  217. This means `EXPECT_CALL()` should be read as expecting that a call will occur
  218. *in the future*, not that a call has occurred. Why does gMock work like that?
  219. Well, specifying the expectation beforehand allows gMock to report a violation
  220. as soon as it rises, when the context (stack trace, etc) is still available.
  221. This makes debugging much easier.
  222. Admittedly, this test is contrived and doesn't do much. You can easily achieve
  223. the same effect without using gMock. However, as we shall reveal soon, gMock
  224. allows you to do *so much more* with the mocks.
  225. ## Setting Expectations
  226. The key to using a mock object successfully is to set the *right expectations*
  227. on it. If you set the expectations too strict, your test will fail as the result
  228. of unrelated changes. If you set them too loose, bugs can slip through. You want
  229. to do it just right such that your test can catch exactly the kind of bugs you
  230. intend it to catch. gMock provides the necessary means for you to do it "just
  231. right."
  232. ### General Syntax
  233. In gMock we use the `EXPECT_CALL()` macro to set an expectation on a mock
  234. method. The general syntax is:
  235. ```cpp
  236. EXPECT_CALL(mock_object, method(matchers))
  237. .Times(cardinality)
  238. .WillOnce(action)
  239. .WillRepeatedly(action);
  240. ```
  241. The macro has two arguments: first the mock object, and then the method and its
  242. arguments. Note that the two are separated by a comma (`,`), not a period (`.`).
  243. (Why using a comma? The answer is that it was necessary for technical reasons.)
  244. If the method is not overloaded, the macro can also be called without matchers:
  245. ```cpp
  246. EXPECT_CALL(mock_object, non-overloaded-method)
  247. .Times(cardinality)
  248. .WillOnce(action)
  249. .WillRepeatedly(action);
  250. ```
  251. This syntax allows the test writer to specify "called with any arguments"
  252. without explicitly specifying the number or types of arguments. To avoid
  253. unintended ambiguity, this syntax may only be used for methods that are not
  254. overloaded.
  255. Either form of the macro can be followed by some optional *clauses* that provide
  256. more information about the expectation. We'll discuss how each clause works in
  257. the coming sections.
  258. This syntax is designed to make an expectation read like English. For example,
  259. you can probably guess that
  260. ```cpp
  261. using ::testing::Return;
  262. ...
  263. EXPECT_CALL(turtle, GetX())
  264. .Times(5)
  265. .WillOnce(Return(100))
  266. .WillOnce(Return(150))
  267. .WillRepeatedly(Return(200));
  268. ```
  269. says that the `turtle` object's `GetX()` method will be called five times, it
  270. will return 100 the first time, 150 the second time, and then 200 every time.
  271. Some people like to call this style of syntax a Domain-Specific Language (DSL).
  272. {: .callout .note}
  273. **Note:** Why do we use a macro to do this? Well it serves two purposes: first
  274. it makes expectations easily identifiable (either by `grep` or by a human
  275. reader), and second it allows gMock to include the source file location of a
  276. failed expectation in messages, making debugging easier.
  277. ### Matchers: What Arguments Do We Expect?
  278. When a mock function takes arguments, we may specify what arguments we are
  279. expecting, for example:
  280. ```cpp
  281. // Expects the turtle to move forward by 100 units.
  282. EXPECT_CALL(turtle, Forward(100));
  283. ```
  284. Oftentimes you do not want to be too specific. Remember that talk about tests
  285. being too rigid? Over specification leads to brittle tests and obscures the
  286. intent of tests. Therefore we encourage you to specify only what's necessary—no
  287. more, no less. If you aren't interested in the value of an argument, write `_`
  288. as the argument, which means "anything goes":
  289. ```cpp
  290. using ::testing::_;
  291. ...
  292. // Expects that the turtle jumps to somewhere on the x=50 line.
  293. EXPECT_CALL(turtle, GoTo(50, _));
  294. ```
  295. `_` is an instance of what we call **matchers**. A matcher is like a predicate
  296. and can test whether an argument is what we'd expect. You can use a matcher
  297. inside `EXPECT_CALL()` wherever a function argument is expected. `_` is a
  298. convenient way of saying "any value".
  299. In the above examples, `100` and `50` are also matchers; implicitly, they are
  300. the same as `Eq(100)` and `Eq(50)`, which specify that the argument must be
  301. equal (using `operator==`) to the matcher argument. There are many
  302. [built-in matchers](reference/matchers.md) for common types (as well as
  303. [custom matchers](gmock_cook_book.md#NewMatchers)); for example:
  304. ```cpp
  305. using ::testing::Ge;
  306. ...
  307. // Expects the turtle moves forward by at least 100.
  308. EXPECT_CALL(turtle, Forward(Ge(100)));
  309. ```
  310. If you don't care about *any* arguments, rather than specify `_` for each of
  311. them you may instead omit the parameter list:
  312. ```cpp
  313. // Expects the turtle to move forward.
  314. EXPECT_CALL(turtle, Forward);
  315. // Expects the turtle to jump somewhere.
  316. EXPECT_CALL(turtle, GoTo);
  317. ```
  318. This works for all non-overloaded methods; if a method is overloaded, you need
  319. to help gMock resolve which overload is expected by specifying the number of
  320. arguments and possibly also the
  321. [types of the arguments](gmock_cook_book.md#SelectOverload).
  322. ### Cardinalities: How Many Times Will It Be Called?
  323. The first clause we can specify following an `EXPECT_CALL()` is `Times()`. We
  324. call its argument a **cardinality** as it tells *how many times* the call should
  325. occur. It allows us to repeat an expectation many times without actually writing
  326. it as many times. More importantly, a cardinality can be "fuzzy", just like a
  327. matcher can be. This allows a user to express the intent of a test exactly.
  328. An interesting special case is when we say `Times(0)`. You may have guessed - it
  329. means that the function shouldn't be called with the given arguments at all, and
  330. gMock will report a googletest failure whenever the function is (wrongfully)
  331. called.
  332. We've seen `AtLeast(n)` as an example of fuzzy cardinalities earlier. For the
  333. list of built-in cardinalities you can use, see
  334. [here](gmock_cheat_sheet.md#CardinalityList).
  335. The `Times()` clause can be omitted. **If you omit `Times()`, gMock will infer
  336. the cardinality for you.** The rules are easy to remember:
  337. * If **neither** `WillOnce()` **nor** `WillRepeatedly()` is in the
  338. `EXPECT_CALL()`, the inferred cardinality is `Times(1)`.
  339. * If there are *n* `WillOnce()`'s but **no** `WillRepeatedly()`, where *n* >=
  340. 1, the cardinality is `Times(n)`.
  341. * If there are *n* `WillOnce()`'s and **one** `WillRepeatedly()`, where *n* >=
  342. 0, the cardinality is `Times(AtLeast(n))`.
  343. **Quick quiz:** what do you think will happen if a function is expected to be
  344. called twice but actually called four times?
  345. ### Actions: What Should It Do?
  346. Remember that a mock object doesn't really have a working implementation? We as
  347. users have to tell it what to do when a method is invoked. This is easy in
  348. gMock.
  349. First, if the return type of a mock function is a built-in type or a pointer,
  350. the function has a **default action** (a `void` function will just return, a
  351. `bool` function will return `false`, and other functions will return 0). In
  352. addition, in C++ 11 and above, a mock function whose return type is
  353. default-constructible (i.e. has a default constructor) has a default action of
  354. returning a default-constructed value. If you don't say anything, this behavior
  355. will be used.
  356. Second, if a mock function doesn't have a default action, or the default action
  357. doesn't suit you, you can specify the action to be taken each time the
  358. expectation matches using a series of `WillOnce()` clauses followed by an
  359. optional `WillRepeatedly()`. For example,
  360. ```cpp
  361. using ::testing::Return;
  362. ...
  363. EXPECT_CALL(turtle, GetX())
  364. .WillOnce(Return(100))
  365. .WillOnce(Return(200))
  366. .WillOnce(Return(300));
  367. ```
  368. says that `turtle.GetX()` will be called *exactly three times* (gMock inferred
  369. this from how many `WillOnce()` clauses we've written, since we didn't
  370. explicitly write `Times()`), and will return 100, 200, and 300 respectively.
  371. ```cpp
  372. using ::testing::Return;
  373. ...
  374. EXPECT_CALL(turtle, GetY())
  375. .WillOnce(Return(100))
  376. .WillOnce(Return(200))
  377. .WillRepeatedly(Return(300));
  378. ```
  379. says that `turtle.GetY()` will be called *at least twice* (gMock knows this as
  380. we've written two `WillOnce()` clauses and a `WillRepeatedly()` while having no
  381. explicit `Times()`), will return 100 and 200 respectively the first two times,
  382. and 300 from the third time on.
  383. Of course, if you explicitly write a `Times()`, gMock will not try to infer the
  384. cardinality itself. What if the number you specified is larger than there are
  385. `WillOnce()` clauses? Well, after all `WillOnce()`s are used up, gMock will do
  386. the *default* action for the function every time (unless, of course, you have a
  387. `WillRepeatedly()`.).
  388. What can we do inside `WillOnce()` besides `Return()`? You can return a
  389. reference using `ReturnRef(*variable*)`, or invoke a pre-defined function, among
  390. [others](gmock_cook_book.md#using-actions).
  391. **Important note:** The `EXPECT_CALL()` statement evaluates the action clause
  392. only once, even though the action may be performed many times. Therefore you
  393. must be careful about side effects. The following may not do what you want:
  394. ```cpp
  395. using ::testing::Return;
  396. ...
  397. int n = 100;
  398. EXPECT_CALL(turtle, GetX())
  399. .Times(4)
  400. .WillRepeatedly(Return(n++));
  401. ```
  402. Instead of returning 100, 101, 102, ..., consecutively, this mock function will
  403. always return 100 as `n++` is only evaluated once. Similarly, `Return(new Foo)`
  404. will create a new `Foo` object when the `EXPECT_CALL()` is executed, and will
  405. return the same pointer every time. If you want the side effect to happen every
  406. time, you need to define a custom action, which we'll teach in the
  407. [cook book](gmock_cook_book.md).
  408. Time for another quiz! What do you think the following means?
  409. ```cpp
  410. using ::testing::Return;
  411. ...
  412. EXPECT_CALL(turtle, GetY())
  413. .Times(4)
  414. .WillOnce(Return(100));
  415. ```
  416. Obviously `turtle.GetY()` is expected to be called four times. But if you think
  417. it will return 100 every time, think twice! Remember that one `WillOnce()`
  418. clause will be consumed each time the function is invoked and the default action
  419. will be taken afterwards. So the right answer is that `turtle.GetY()` will
  420. return 100 the first time, but **return 0 from the second time on**, as
  421. returning 0 is the default action for `int` functions.
  422. ### Using Multiple Expectations {#MultiExpectations}
  423. So far we've only shown examples where you have a single expectation. More
  424. realistically, you'll specify expectations on multiple mock methods which may be
  425. from multiple mock objects.
  426. By default, when a mock method is invoked, gMock will search the expectations in
  427. the **reverse order** they are defined, and stop when an active expectation that
  428. matches the arguments is found (you can think of it as "newer rules override
  429. older ones."). If the matching expectation cannot take any more calls, you will
  430. get an upper-bound-violated failure. Here's an example:
  431. ```cpp
  432. using ::testing::_;
  433. ...
  434. EXPECT_CALL(turtle, Forward(_)); // #1
  435. EXPECT_CALL(turtle, Forward(10)) // #2
  436. .Times(2);
  437. ```
  438. If `Forward(10)` is called three times in a row, the third time it will be an
  439. error, as the last matching expectation (#2) has been saturated. If, however,
  440. the third `Forward(10)` call is replaced by `Forward(20)`, then it would be OK,
  441. as now #1 will be the matching expectation.
  442. {: .callout .note}
  443. **Note:** Why does gMock search for a match in the *reverse* order of the
  444. expectations? The reason is that this allows a user to set up the default
  445. expectations in a mock object's constructor or the test fixture's set-up phase
  446. and then customize the mock by writing more specific expectations in the test
  447. body. So, if you have two expectations on the same method, you want to put the
  448. one with more specific matchers **after** the other, or the more specific rule
  449. would be shadowed by the more general one that comes after it.
  450. {: .callout .tip}
  451. **Tip:** It is very common to start with a catch-all expectation for a method
  452. and `Times(AnyNumber())` (omitting arguments, or with `_` for all arguments, if
  453. overloaded). This makes any calls to the method expected. This is not necessary
  454. for methods that are not mentioned at all (these are "uninteresting"), but is
  455. useful for methods that have some expectations, but for which other calls are
  456. ok. See
  457. [Understanding Uninteresting vs Unexpected Calls](gmock_cook_book.md#uninteresting-vs-unexpected).
  458. ### Ordered vs Unordered Calls {#OrderedCalls}
  459. By default, an expectation can match a call even though an earlier expectation
  460. hasn't been satisfied. In other words, the calls don't have to occur in the
  461. order the expectations are specified.
  462. Sometimes, you may want all the expected calls to occur in a strict order. To
  463. say this in gMock is easy:
  464. ```cpp
  465. using ::testing::InSequence;
  466. ...
  467. TEST(FooTest, DrawsLineSegment) {
  468. ...
  469. {
  470. InSequence seq;
  471. EXPECT_CALL(turtle, PenDown());
  472. EXPECT_CALL(turtle, Forward(100));
  473. EXPECT_CALL(turtle, PenUp());
  474. }
  475. Foo();
  476. }
  477. ```
  478. By creating an object of type `InSequence`, all expectations in its scope are
  479. put into a *sequence* and have to occur *sequentially*. Since we are just
  480. relying on the constructor and destructor of this object to do the actual work,
  481. its name is really irrelevant.
  482. In this example, we test that `Foo()` calls the three expected functions in the
  483. order as written. If a call is made out-of-order, it will be an error.
  484. (What if you care about the relative order of some of the calls, but not all of
  485. them? Can you specify an arbitrary partial order? The answer is ... yes! The
  486. details can be found [here](gmock_cook_book.md#OrderedCalls).)
  487. ### All Expectations Are Sticky (Unless Said Otherwise) {#StickyExpectations}
  488. Now let's do a quick quiz to see how well you can use this mock stuff already.
  489. How would you test that the turtle is asked to go to the origin *exactly twice*
  490. (you want to ignore any other instructions it receives)?
  491. After you've come up with your answer, take a look at ours and compare notes
  492. (solve it yourself first - don't cheat!):
  493. ```cpp
  494. using ::testing::_;
  495. using ::testing::AnyNumber;
  496. ...
  497. EXPECT_CALL(turtle, GoTo(_, _)) // #1
  498. .Times(AnyNumber());
  499. EXPECT_CALL(turtle, GoTo(0, 0)) // #2
  500. .Times(2);
  501. ```
  502. Suppose `turtle.GoTo(0, 0)` is called three times. In the third time, gMock will
  503. see that the arguments match expectation #2 (remember that we always pick the
  504. last matching expectation). Now, since we said that there should be only two
  505. such calls, gMock will report an error immediately. This is basically what we've
  506. told you in the [Using Multiple Expectations](#MultiExpectations) section above.
  507. This example shows that **expectations in gMock are "sticky" by default**, in
  508. the sense that they remain active even after we have reached their invocation
  509. upper bounds. This is an important rule to remember, as it affects the meaning
  510. of the spec, and is **different** to how it's done in many other mocking
  511. frameworks (Why'd we do that? Because we think our rule makes the common cases
  512. easier to express and understand.).
  513. Simple? Let's see if you've really understood it: what does the following code
  514. say?
  515. ```cpp
  516. using ::testing::Return;
  517. ...
  518. for (int i = n; i > 0; i--) {
  519. EXPECT_CALL(turtle, GetX())
  520. .WillOnce(Return(10*i));
  521. }
  522. ```
  523. If you think it says that `turtle.GetX()` will be called `n` times and will
  524. return 10, 20, 30, ..., consecutively, think twice! The problem is that, as we
  525. said, expectations are sticky. So, the second time `turtle.GetX()` is called,
  526. the last (latest) `EXPECT_CALL()` statement will match, and will immediately
  527. lead to an "upper bound violated" error - this piece of code is not very useful!
  528. One correct way of saying that `turtle.GetX()` will return 10, 20, 30, ..., is
  529. to explicitly say that the expectations are *not* sticky. In other words, they
  530. should *retire* as soon as they are saturated:
  531. ```cpp
  532. using ::testing::Return;
  533. ...
  534. for (int i = n; i > 0; i--) {
  535. EXPECT_CALL(turtle, GetX())
  536. .WillOnce(Return(10*i))
  537. .RetiresOnSaturation();
  538. }
  539. ```
  540. And, there's a better way to do it: in this case, we expect the calls to occur
  541. in a specific order, and we line up the actions to match the order. Since the
  542. order is important here, we should make it explicit using a sequence:
  543. ```cpp
  544. using ::testing::InSequence;
  545. using ::testing::Return;
  546. ...
  547. {
  548. InSequence s;
  549. for (int i = 1; i <= n; i++) {
  550. EXPECT_CALL(turtle, GetX())
  551. .WillOnce(Return(10*i))
  552. .RetiresOnSaturation();
  553. }
  554. }
  555. ```
  556. By the way, the other situation where an expectation may *not* be sticky is when
  557. it's in a sequence - as soon as another expectation that comes after it in the
  558. sequence has been used, it automatically retires (and will never be used to
  559. match any call).
  560. ### Uninteresting Calls
  561. A mock object may have many methods, and not all of them are that interesting.
  562. For example, in some tests we may not care about how many times `GetX()` and
  563. `GetY()` get called.
  564. In gMock, if you are not interested in a method, just don't say anything about
  565. it. If a call to this method occurs, you'll see a warning in the test output,
  566. but it won't be a failure. This is called "naggy" behavior; to change, see
  567. [The Nice, the Strict, and the Naggy](gmock_cook_book.md#NiceStrictNaggy).