fc8dc48020
git-subtree-dir: third_party/abseil_cpp git-subtree-mainline:ffb2ae54begit-subtree-split:768eb2ca28
261 lines
9.9 KiB
C++
261 lines
9.9 KiB
C++
// Copyright 2018 The Abseil Authors.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// https://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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// -----------------------------------------------------------------------------
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// File: mock_distributions.h
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// -----------------------------------------------------------------------------
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//
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// This file contains mock distribution functions for use alongside an
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// `absl::MockingBitGen` object within the Googletest testing framework. Such
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// mocks are useful to provide deterministic values as return values within
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// (otherwise random) Abseil distribution functions.
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//
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// The return type of each function is a mock expectation object which
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// is used to set the match result.
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//
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// More information about the Googletest testing framework is available at
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// https://github.com/google/googletest
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//
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// Example:
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//
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// absl::MockingBitGen mock;
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// EXPECT_CALL(absl::MockUniform<int>(), Call(mock, 1, 1000))
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// .WillRepeatedly(testing::ReturnRoundRobin({20, 40}));
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//
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// EXPECT_EQ(absl::Uniform<int>(gen, 1, 1000), 20);
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// EXPECT_EQ(absl::Uniform<int>(gen, 1, 1000), 40);
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// EXPECT_EQ(absl::Uniform<int>(gen, 1, 1000), 20);
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// EXPECT_EQ(absl::Uniform<int>(gen, 1, 1000), 40);
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#ifndef ABSL_RANDOM_MOCK_DISTRIBUTIONS_H_
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#define ABSL_RANDOM_MOCK_DISTRIBUTIONS_H_
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#include <limits>
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#include <type_traits>
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#include <utility>
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#include "gmock/gmock.h"
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#include "gtest/gtest.h"
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#include "absl/meta/type_traits.h"
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#include "absl/random/distributions.h"
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#include "absl/random/internal/mock_overload_set.h"
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#include "absl/random/mocking_bit_gen.h"
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namespace absl {
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ABSL_NAMESPACE_BEGIN
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// -----------------------------------------------------------------------------
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// absl::MockUniform
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// -----------------------------------------------------------------------------
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//
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// Matches calls to absl::Uniform.
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//
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// `absl::MockUniform` is a class template used in conjunction with Googletest's
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// `ON_CALL()` and `EXPECT_CALL()` macros. To use it, default-construct an
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// instance of it inside `ON_CALL()` or `EXPECT_CALL()`, and use `Call(...)` the
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// same way one would define mocks on a Googletest `MockFunction()`.
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//
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// Example:
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//
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// absl::MockingBitGen mock;
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// EXPECT_CALL(absl::MockUniform<uint32_t>(), Call(mock))
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// .WillOnce(Return(123456));
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// auto x = absl::Uniform<uint32_t>(mock);
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// assert(x == 123456)
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//
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template <typename R>
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using MockUniform = random_internal::MockOverloadSet<
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random_internal::UniformDistributionWrapper<R>,
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R(IntervalClosedOpenTag, MockingBitGen&, R, R),
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R(IntervalClosedClosedTag, MockingBitGen&, R, R),
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R(IntervalOpenOpenTag, MockingBitGen&, R, R),
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R(IntervalOpenClosedTag, MockingBitGen&, R, R), R(MockingBitGen&, R, R),
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R(MockingBitGen&)>;
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// -----------------------------------------------------------------------------
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// absl::MockBernoulli
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// -----------------------------------------------------------------------------
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//
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// Matches calls to absl::Bernoulli.
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//
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// `absl::MockBernoulli` is a class used in conjunction with Googletest's
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// `ON_CALL()` and `EXPECT_CALL()` macros. To use it, default-construct an
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// instance of it inside `ON_CALL()` or `EXPECT_CALL()`, and use `Call(...)` the
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// same way one would define mocks on a Googletest `MockFunction()`.
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//
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// Example:
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//
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// absl::MockingBitGen mock;
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// EXPECT_CALL(absl::MockBernoulli(), Call(mock, testing::_))
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// .WillOnce(Return(false));
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// assert(absl::Bernoulli(mock, 0.5) == false);
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//
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using MockBernoulli =
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random_internal::MockOverloadSet<absl::bernoulli_distribution,
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bool(MockingBitGen&, double)>;
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// -----------------------------------------------------------------------------
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// absl::MockBeta
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// -----------------------------------------------------------------------------
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//
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// Matches calls to absl::Beta.
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//
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// `absl::MockBeta` is a class used in conjunction with Googletest's `ON_CALL()`
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// and `EXPECT_CALL()` macros. To use it, default-construct an instance of it
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// inside `ON_CALL()` or `EXPECT_CALL()`, and use `Call(...)` the same way one
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// would define mocks on a Googletest `MockFunction()`.
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//
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// Example:
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//
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// absl::MockingBitGen mock;
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// EXPECT_CALL(absl::MockBeta(), Call(mock, 3.0, 2.0))
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// .WillOnce(Return(0.567));
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// auto x = absl::Beta<double>(mock, 3.0, 2.0);
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// assert(x == 0.567);
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//
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template <typename RealType>
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using MockBeta =
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random_internal::MockOverloadSet<absl::beta_distribution<RealType>,
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RealType(MockingBitGen&, RealType,
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RealType)>;
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// -----------------------------------------------------------------------------
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// absl::MockExponential
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// -----------------------------------------------------------------------------
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//
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// Matches calls to absl::Exponential.
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//
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// `absl::MockExponential` is a class template used in conjunction with
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// Googletest's `ON_CALL()` and `EXPECT_CALL()` macros. To use it,
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// default-construct an instance of it inside `ON_CALL()` or `EXPECT_CALL()`,
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// and use `Call(...)` the same way one would define mocks on a
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// Googletest `MockFunction()`.
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//
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// Example:
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//
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// absl::MockingBitGen mock;
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// EXPECT_CALL(absl::MockExponential<double>(), Call(mock, 0.5))
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// .WillOnce(Return(12.3456789));
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// auto x = absl::Exponential<double>(mock, 0.5);
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// assert(x == 12.3456789)
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//
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template <typename RealType>
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using MockExponential =
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random_internal::MockOverloadSet<absl::exponential_distribution<RealType>,
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RealType(MockingBitGen&, RealType)>;
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// -----------------------------------------------------------------------------
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// absl::MockGaussian
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// -----------------------------------------------------------------------------
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//
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// Matches calls to absl::Gaussian.
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//
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// `absl::MockGaussian` is a class template used in conjunction with
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// Googletest's `ON_CALL()` and `EXPECT_CALL()` macros. To use it,
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// default-construct an instance of it inside `ON_CALL()` or `EXPECT_CALL()`,
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// and use `Call(...)` the same way one would define mocks on a
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// Googletest `MockFunction()`.
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//
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// Example:
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//
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// absl::MockingBitGen mock;
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// EXPECT_CALL(absl::MockGaussian<double>(), Call(mock, 16.3, 3.3))
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// .WillOnce(Return(12.3456789));
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// auto x = absl::Gaussian<double>(mock, 16.3, 3.3);
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// assert(x == 12.3456789)
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//
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template <typename RealType>
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using MockGaussian =
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random_internal::MockOverloadSet<absl::gaussian_distribution<RealType>,
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RealType(MockingBitGen&, RealType,
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RealType)>;
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// -----------------------------------------------------------------------------
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// absl::MockLogUniform
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// -----------------------------------------------------------------------------
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//
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// Matches calls to absl::LogUniform.
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//
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// `absl::MockLogUniform` is a class template used in conjunction with
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// Googletest's `ON_CALL()` and `EXPECT_CALL()` macros. To use it,
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// default-construct an instance of it inside `ON_CALL()` or `EXPECT_CALL()`,
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// and use `Call(...)` the same way one would define mocks on a
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// Googletest `MockFunction()`.
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//
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// Example:
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//
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// absl::MockingBitGen mock;
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// EXPECT_CALL(absl::MockLogUniform<int>(), Call(mock, 10, 10000, 10))
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// .WillOnce(Return(1221));
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// auto x = absl::LogUniform<int>(mock, 10, 10000, 10);
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// assert(x == 1221)
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//
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template <typename IntType>
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using MockLogUniform = random_internal::MockOverloadSet<
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absl::log_uniform_int_distribution<IntType>,
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IntType(MockingBitGen&, IntType, IntType, IntType)>;
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// -----------------------------------------------------------------------------
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// absl::MockPoisson
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// -----------------------------------------------------------------------------
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//
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// Matches calls to absl::Poisson.
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//
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// `absl::MockPoisson` is a class template used in conjunction with Googletest's
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// `ON_CALL()` and `EXPECT_CALL()` macros. To use it, default-construct an
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// instance of it inside `ON_CALL()` or `EXPECT_CALL()`, and use `Call(...)` the
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// same way one would define mocks on a Googletest `MockFunction()`.
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//
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// Example:
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//
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// absl::MockingBitGen mock;
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// EXPECT_CALL(absl::MockPoisson<int>(), Call(mock, 2.0))
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// .WillOnce(Return(1221));
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// auto x = absl::Poisson<int>(mock, 2.0);
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// assert(x == 1221)
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//
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template <typename IntType>
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using MockPoisson =
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random_internal::MockOverloadSet<absl::poisson_distribution<IntType>,
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IntType(MockingBitGen&, double)>;
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// -----------------------------------------------------------------------------
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// absl::MockZipf
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// -----------------------------------------------------------------------------
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//
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// Matches calls to absl::Zipf.
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//
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// `absl::MockZipf` is a class template used in conjunction with Googletest's
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// `ON_CALL()` and `EXPECT_CALL()` macros. To use it, default-construct an
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// instance of it inside `ON_CALL()` or `EXPECT_CALL()`, and use `Call(...)` the
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// same way one would define mocks on a Googletest `MockFunction()`.
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//
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// Example:
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//
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// absl::MockingBitGen mock;
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// EXPECT_CALL(absl::MockZipf<int>(), Call(mock, 1000000, 2.0, 1.0))
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// .WillOnce(Return(1221));
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// auto x = absl::Zipf<int>(mock, 1000000, 2.0, 1.0);
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// assert(x == 1221)
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//
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template <typename IntType>
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using MockZipf =
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random_internal::MockOverloadSet<absl::zipf_distribution<IntType>,
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IntType(MockingBitGen&, IntType, double,
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double)>;
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ABSL_NAMESPACE_END
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} // namespace absl
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#endif // ABSL_RANDOM_MOCK_DISTRIBUTIONS_H_
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