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+//
+// 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.
+//
+#ifndef ABSL_RANDOM_DISTRIBUTION_FORMAT_TRAITS_H_
+#define ABSL_RANDOM_DISTRIBUTION_FORMAT_TRAITS_H_
+
+#include <string>
+#include <tuple>
+#include <typeinfo>
+
+#include "absl/meta/type_traits.h"
+#include "absl/random/bernoulli_distribution.h"
+#include "absl/random/beta_distribution.h"
+#include "absl/random/exponential_distribution.h"
+#include "absl/random/gaussian_distribution.h"
+#include "absl/random/log_uniform_int_distribution.h"
+#include "absl/random/poisson_distribution.h"
+#include "absl/random/uniform_int_distribution.h"
+#include "absl/random/uniform_real_distribution.h"
+#include "absl/random/zipf_distribution.h"
+#include "absl/strings/str_cat.h"
+#include "absl/strings/str_join.h"
+#include "absl/strings/string_view.h"
+#include "absl/types/span.h"
+
+namespace absl {
+inline namespace lts_2019_08_08 {
+namespace random_internal {
+
+// ScalarTypeName defines a preferred hierarchy of preferred type names for
+// scalars, and is evaluated at compile time for the specific type
+// specialization.
+template <typename T>
+constexpr const char* ScalarTypeName() {
+ static_assert(std::is_integral<T>() || std::is_floating_point<T>(), "");
+ // clang-format off
+ return
+ std::is_same<T, float>::value ? "float" :
+ std::is_same<T, double>::value ? "double" :
+ std::is_same<T, long double>::value ? "long double" :
+ std::is_same<T, bool>::value ? "bool" :
+ std::is_signed<T>::value && sizeof(T) == 1 ? "int8_t" :
+ std::is_signed<T>::value && sizeof(T) == 2 ? "int16_t" :
+ std::is_signed<T>::value && sizeof(T) == 4 ? "int32_t" :
+ std::is_signed<T>::value && sizeof(T) == 8 ? "int64_t" :
+ std::is_unsigned<T>::value && sizeof(T) == 1 ? "uint8_t" :
+ std::is_unsigned<T>::value && sizeof(T) == 2 ? "uint16_t" :
+ std::is_unsigned<T>::value && sizeof(T) == 4 ? "uint32_t" :
+ std::is_unsigned<T>::value && sizeof(T) == 8 ? "uint64_t" :
+ "undefined";
+ // clang-format on
+
+ // NOTE: It would be nice to use typeid(T).name(), but that's an
+ // implementation-defined attribute which does not necessarily
+ // correspond to a name. We could potentially demangle it
+ // using, e.g. abi::__cxa_demangle.
+}
+
+// Distribution traits used by DistributionCaller and internal implementation
+// details of the mocking framework.
+/*
+struct DistributionFormatTraits {
+ // Returns the parameterized name of the distribution function.
+ static constexpr const char* FunctionName()
+ // Format DistrT parameters.
+ static std::string FormatArgs(DistrT& dist);
+ // Format DistrT::result_type results.
+ static std::string FormatResults(DistrT& dist);
+};
+*/
+template <typename DistrT>
+struct DistributionFormatTraits;
+
+template <typename R>
+struct DistributionFormatTraits<absl::uniform_int_distribution<R>> {
+ using distribution_t = absl::uniform_int_distribution<R>;
+ using result_t = typename distribution_t::result_type;
+
+ static constexpr const char* Name() { return "Uniform"; }
+
+ static std::string FunctionName() {
+ return absl::StrCat(Name(), "<", ScalarTypeName<R>(), ">");
+ }
+ static std::string FormatArgs(const distribution_t& d) {
+ return absl::StrCat("absl::IntervalClosedClosed, ", (d.min)(), ", ",
+ (d.max)());
+ }
+ static std::string FormatResults(absl::Span<const result_t> results) {
+ return absl::StrJoin(results, ", ");
+ }
+};
+
+template <typename R>
+struct DistributionFormatTraits<absl::uniform_real_distribution<R>> {
+ using distribution_t = absl::uniform_real_distribution<R>;
+ using result_t = typename distribution_t::result_type;
+
+ static constexpr const char* Name() { return "Uniform"; }
+
+ static std::string FunctionName() {
+ return absl::StrCat(Name(), "<", ScalarTypeName<R>(), ">");
+ }
+ static std::string FormatArgs(const distribution_t& d) {
+ return absl::StrCat((d.min)(), ", ", (d.max)());
+ }
+ static std::string FormatResults(absl::Span<const result_t> results) {
+ return absl::StrJoin(results, ", ");
+ }
+};
+
+template <typename R>
+struct DistributionFormatTraits<absl::exponential_distribution<R>> {
+ using distribution_t = absl::exponential_distribution<R>;
+ using result_t = typename distribution_t::result_type;
+
+ static constexpr const char* Name() { return "Exponential"; }
+
+ static std::string FunctionName() {
+ return absl::StrCat(Name(), "<", ScalarTypeName<R>(), ">");
+ }
+ static std::string FormatArgs(const distribution_t& d) {
+ return absl::StrCat(d.lambda());
+ }
+ static std::string FormatResults(absl::Span<const result_t> results) {
+ return absl::StrJoin(results, ", ");
+ }
+};
+
+template <typename R>
+struct DistributionFormatTraits<absl::poisson_distribution<R>> {
+ using distribution_t = absl::poisson_distribution<R>;
+ using result_t = typename distribution_t::result_type;
+
+ static constexpr const char* Name() { return "Poisson"; }
+
+ static std::string FunctionName() {
+ return absl::StrCat(Name(), "<", ScalarTypeName<R>(), ">");
+ }
+ static std::string FormatArgs(const distribution_t& d) {
+ return absl::StrCat(d.mean());
+ }
+ static std::string FormatResults(absl::Span<const result_t> results) {
+ return absl::StrJoin(results, ", ");
+ }
+};
+
+template <>
+struct DistributionFormatTraits<absl::bernoulli_distribution> {
+ using distribution_t = absl::bernoulli_distribution;
+ using result_t = typename distribution_t::result_type;
+
+ static constexpr const char* Name() { return "Bernoulli"; }
+
+ static constexpr const char* FunctionName() { return Name(); }
+ static std::string FormatArgs(const distribution_t& d) {
+ return absl::StrCat(d.p());
+ }
+ static std::string FormatResults(absl::Span<const result_t> results) {
+ return absl::StrJoin(results, ", ");
+ }
+};
+
+template <typename R>
+struct DistributionFormatTraits<absl::beta_distribution<R>> {
+ using distribution_t = absl::beta_distribution<R>;
+ using result_t = typename distribution_t::result_type;
+
+ static constexpr const char* Name() { return "Beta"; }
+
+ static std::string FunctionName() {
+ return absl::StrCat(Name(), "<", ScalarTypeName<R>(), ">");
+ }
+ static std::string FormatArgs(const distribution_t& d) {
+ return absl::StrCat(d.alpha(), ", ", d.beta());
+ }
+ static std::string FormatResults(absl::Span<const result_t> results) {
+ return absl::StrJoin(results, ", ");
+ }
+};
+
+template <typename R>
+struct DistributionFormatTraits<absl::zipf_distribution<R>> {
+ using distribution_t = absl::zipf_distribution<R>;
+ using result_t = typename distribution_t::result_type;
+
+ static constexpr const char* Name() { return "Zipf"; }
+
+ static std::string FunctionName() {
+ return absl::StrCat(Name(), "<", ScalarTypeName<R>(), ">");
+ }
+ static std::string FormatArgs(const distribution_t& d) {
+ return absl::StrCat(d.k(), ", ", d.v(), ", ", d.q());
+ }
+ static std::string FormatResults(absl::Span<const result_t> results) {
+ return absl::StrJoin(results, ", ");
+ }
+};
+
+template <typename R>
+struct DistributionFormatTraits<absl::gaussian_distribution<R>> {
+ using distribution_t = absl::gaussian_distribution<R>;
+ using result_t = typename distribution_t::result_type;
+
+ static constexpr const char* Name() { return "Gaussian"; }
+
+ static std::string FunctionName() {
+ return absl::StrCat(Name(), "<", ScalarTypeName<R>(), ">");
+ }
+ static std::string FormatArgs(const distribution_t& d) {
+ return absl::StrJoin(std::make_tuple(d.mean(), d.stddev()), ", ");
+ }
+ static std::string FormatResults(absl::Span<const result_t> results) {
+ return absl::StrJoin(results, ", ");
+ }
+};
+
+template <typename R>
+struct DistributionFormatTraits<absl::log_uniform_int_distribution<R>> {
+ using distribution_t = absl::log_uniform_int_distribution<R>;
+ using result_t = typename distribution_t::result_type;
+
+ static constexpr const char* Name() { return "LogUniform"; }
+
+ static std::string FunctionName() {
+ return absl::StrCat(Name(), "<", ScalarTypeName<R>(), ">");
+ }
+ static std::string FormatArgs(const distribution_t& d) {
+ return absl::StrJoin(std::make_tuple((d.min)(), (d.max)(), d.base()), ", ");
+ }
+ static std::string FormatResults(absl::Span<const result_t> results) {
+ return absl::StrJoin(results, ", ");
+ }
+};
+
+} // namespace random_internal
+} // inline namespace lts_2019_08_08
+} // namespace absl
+
+#endif // ABSL_RANDOM_DISTRIBUTION_FORMAT_TRAITS_H_
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