// 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::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)>;
} // namespace absl
#endif // ABSL_RANDOM_MOCK_DISTRIBUTIONS_H_
