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Diffstat (limited to 'third_party/abseil_cpp/absl/random/mock_distributions.h')
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1 files changed, 261 insertions, 0 deletions
diff --git a/third_party/abseil_cpp/absl/random/mock_distributions.h b/third_party/abseil_cpp/absl/random/mock_distributions.h new file mode 100644 index 000000000000..d36d5ba03cab --- /dev/null +++ b/third_party/abseil_cpp/absl/random/mock_distributions.h @@ -0,0 +1,261 @@ +// Copyright 2018 The Abseil Authors. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// https://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +// +// ----------------------------------------------------------------------------- +// File: mock_distributions.h +// ----------------------------------------------------------------------------- +// +// This file contains mock distribution functions for use alongside an +// `absl::MockingBitGen` object within the Googletest testing framework. Such +// mocks are useful to provide deterministic values as return values within +// (otherwise random) Abseil distribution functions. +// +// The return type of each function is a mock expectation object which +// is used to set the match result. +// +// More information about the Googletest testing framework is available at +// https://github.com/google/googletest +// +// Example: +// +// absl::MockingBitGen mock; +// EXPECT_CALL(absl::MockUniform<int>(), Call(mock, 1, 1000)) +// .WillRepeatedly(testing::ReturnRoundRobin({20, 40})); +// +// EXPECT_EQ(absl::Uniform<int>(gen, 1, 1000), 20); +// EXPECT_EQ(absl::Uniform<int>(gen, 1, 1000), 40); +// EXPECT_EQ(absl::Uniform<int>(gen, 1, 1000), 20); +// EXPECT_EQ(absl::Uniform<int>(gen, 1, 1000), 40); + +#ifndef ABSL_RANDOM_MOCK_DISTRIBUTIONS_H_ +#define ABSL_RANDOM_MOCK_DISTRIBUTIONS_H_ + +#include <limits> +#include <type_traits> +#include <utility> + +#include "gmock/gmock.h" +#include "gtest/gtest.h" +#include "absl/meta/type_traits.h" +#include "absl/random/distributions.h" +#include "absl/random/internal/mock_overload_set.h" +#include "absl/random/mocking_bit_gen.h" + +namespace absl { +ABSL_NAMESPACE_BEGIN + +// ----------------------------------------------------------------------------- +// absl::MockUniform +// ----------------------------------------------------------------------------- +// +// Matches calls to absl::Uniform. +// +// `absl::MockUniform` is a class template used in conjunction with Googletest's +// `ON_CALL()` and `EXPECT_CALL()` macros. To use it, default-construct an +// instance of it inside `ON_CALL()` or `EXPECT_CALL()`, and use `Call(...)` the +// same way one would define mocks on a Googletest `MockFunction()`. +// +// Example: +// +// absl::MockingBitGen mock; +// EXPECT_CALL(absl::MockUniform<uint32_t>(), Call(mock)) +// .WillOnce(Return(123456)); +// auto x = absl::Uniform<uint32_t>(mock); +// assert(x == 123456) +// +template <typename R> +using MockUniform = random_internal::MockOverloadSet< + random_internal::UniformDistributionWrapper<R>, + R(IntervalClosedOpenTag, MockingBitGen&, R, R), + R(IntervalClosedClosedTag, MockingBitGen&, R, R), + R(IntervalOpenOpenTag, MockingBitGen&, R, R), + R(IntervalOpenClosedTag, MockingBitGen&, R, R), R(MockingBitGen&, R, R), + R(MockingBitGen&)>; + +// ----------------------------------------------------------------------------- +// absl::MockBernoulli +// ----------------------------------------------------------------------------- +// +// Matches calls to absl::Bernoulli. +// +// `absl::MockBernoulli` is a class used in conjunction with Googletest's +// `ON_CALL()` and `EXPECT_CALL()` macros. To use it, default-construct an +// instance of it inside `ON_CALL()` or `EXPECT_CALL()`, and use `Call(...)` the +// same way one would define mocks on a Googletest `MockFunction()`. +// +// Example: +// +// absl::MockingBitGen mock; +// EXPECT_CALL(absl::MockBernoulli(), Call(mock, testing::_)) +// .WillOnce(Return(false)); +// assert(absl::Bernoulli(mock, 0.5) == false); +// +using MockBernoulli = + random_internal::MockOverloadSet<absl::bernoulli_distribution, + bool(MockingBitGen&, double)>; + +// ----------------------------------------------------------------------------- +// absl::MockBeta +// ----------------------------------------------------------------------------- +// +// Matches calls to absl::Beta. +// +// `absl::MockBeta` is a class used in conjunction with Googletest's `ON_CALL()` +// and `EXPECT_CALL()` macros. To use it, default-construct an instance of it +// inside `ON_CALL()` or `EXPECT_CALL()`, and use `Call(...)` the same way one +// would define mocks on a Googletest `MockFunction()`. +// +// Example: +// +// absl::MockingBitGen mock; +// EXPECT_CALL(absl::MockBeta(), Call(mock, 3.0, 2.0)) +// .WillOnce(Return(0.567)); +// auto x = absl::Beta<double>(mock, 3.0, 2.0); +// assert(x == 0.567); +// +template <typename RealType> +using MockBeta = + random_internal::MockOverloadSet<absl::beta_distribution<RealType>, + RealType(MockingBitGen&, RealType, + RealType)>; + +// ----------------------------------------------------------------------------- +// absl::MockExponential +// ----------------------------------------------------------------------------- +// +// Matches calls to absl::Exponential. +// +// `absl::MockExponential` is a class template used in conjunction with +// Googletest's `ON_CALL()` and `EXPECT_CALL()` macros. To use it, +// default-construct an instance of it inside `ON_CALL()` or `EXPECT_CALL()`, +// and use `Call(...)` the same way one would define mocks on a +// Googletest `MockFunction()`. +// +// Example: +// +// absl::MockingBitGen mock; +// EXPECT_CALL(absl::MockExponential<double>(), Call(mock, 0.5)) +// .WillOnce(Return(12.3456789)); +// auto x = absl::Exponential<double>(mock, 0.5); +// assert(x == 12.3456789) +// +template <typename RealType> +using MockExponential = + random_internal::MockOverloadSet<absl::exponential_distribution<RealType>, + RealType(MockingBitGen&, RealType)>; + +// ----------------------------------------------------------------------------- +// absl::MockGaussian +// ----------------------------------------------------------------------------- +// +// Matches calls to absl::Gaussian. +// +// `absl::MockGaussian` is a class template used in conjunction with +// Googletest's `ON_CALL()` and `EXPECT_CALL()` macros. To use it, +// default-construct an instance of it inside `ON_CALL()` or `EXPECT_CALL()`, +// and use `Call(...)` the same way one would define mocks on a +// Googletest `MockFunction()`. +// +// Example: +// +// absl::MockingBitGen mock; +// EXPECT_CALL(absl::MockGaussian<double>(), Call(mock, 16.3, 3.3)) +// .WillOnce(Return(12.3456789)); +// auto x = absl::Gaussian<double>(mock, 16.3, 3.3); +// assert(x == 12.3456789) +// +template <typename RealType> +using MockGaussian = + random_internal::MockOverloadSet<absl::gaussian_distribution<RealType>, + RealType(MockingBitGen&, RealType, + RealType)>; + +// ----------------------------------------------------------------------------- +// absl::MockLogUniform +// ----------------------------------------------------------------------------- +// +// Matches calls to absl::LogUniform. +// +// `absl::MockLogUniform` is a class template used in conjunction with +// Googletest's `ON_CALL()` and `EXPECT_CALL()` macros. To use it, +// default-construct an instance of it inside `ON_CALL()` or `EXPECT_CALL()`, +// and use `Call(...)` the same way one would define mocks on a +// Googletest `MockFunction()`. +// +// Example: +// +// absl::MockingBitGen mock; +// EXPECT_CALL(absl::MockLogUniform<int>(), Call(mock, 10, 10000, 10)) +// .WillOnce(Return(1221)); +// auto x = absl::LogUniform<int>(mock, 10, 10000, 10); +// assert(x == 1221) +// +template <typename IntType> +using MockLogUniform = random_internal::MockOverloadSet< + absl::log_uniform_int_distribution<IntType>, + IntType(MockingBitGen&, IntType, IntType, IntType)>; + +// ----------------------------------------------------------------------------- +// absl::MockPoisson +// ----------------------------------------------------------------------------- +// +// Matches calls to absl::Poisson. +// +// `absl::MockPoisson` is a class template used in conjunction with Googletest's +// `ON_CALL()` and `EXPECT_CALL()` macros. To use it, default-construct an +// instance of it inside `ON_CALL()` or `EXPECT_CALL()`, and use `Call(...)` the +// same way one would define mocks on a Googletest `MockFunction()`. +// +// Example: +// +// absl::MockingBitGen mock; +// EXPECT_CALL(absl::MockPoisson<int>(), Call(mock, 2.0)) +// .WillOnce(Return(1221)); +// auto x = absl::Poisson<int>(mock, 2.0); +// assert(x == 1221) +// +template <typename IntType> +using MockPoisson = + random_internal::MockOverloadSet<absl::poisson_distribution<IntType>, + IntType(MockingBitGen&, double)>; + +// ----------------------------------------------------------------------------- +// absl::MockZipf +// ----------------------------------------------------------------------------- +// +// Matches calls to absl::Zipf. +// +// `absl::MockZipf` is a class template used in conjunction with Googletest's +// `ON_CALL()` and `EXPECT_CALL()` macros. To use it, default-construct an +// instance of it inside `ON_CALL()` or `EXPECT_CALL()`, and use `Call(...)` the +// same way one would define mocks on a Googletest `MockFunction()`. +// +// Example: +// +// absl::MockingBitGen mock; +// EXPECT_CALL(absl::MockZipf<int>(), Call(mock, 1000000, 2.0, 1.0)) +// .WillOnce(Return(1221)); +// auto x = absl::Zipf<int>(mock, 1000000, 2.0, 1.0); +// assert(x == 1221) +// +template <typename IntType> +using MockZipf = + random_internal::MockOverloadSet<absl::zipf_distribution<IntType>, + IntType(MockingBitGen&, IntType, double, + double)>; + +ABSL_NAMESPACE_END +} // namespace absl + +#endif // ABSL_RANDOM_MOCK_DISTRIBUTIONS_H_ |