tvl-depot/absl/random/distribution_format_traits.h
Abseil Team 63ee2f8877 Export of internal Abseil changes
--
7f6c15aadc4d97e217dd446518dbb4fdc86b36a3 by Derek Mauro <dmauro@google.com>:

Upgrade GCC automated testing to use GCC 9.2 and Cmake 3.16.2

PiperOrigin-RevId: 288488783

--
a978cee848d3cf65b0826c981bfd81022fc36660 by Abseil Team <absl-team@google.com>:

Removing formatting traits that were only used internally. ON_CALL/EXPECT_CALL do a sufficient job here.

PiperOrigin-RevId: 288386509

--
fdec6f40293d5883220f1f0ea1261f7c5b60a66e by Derek Mauro <dmauro@google.com>:

Upgrade MacOS tests to use Bazel 2.0.0

PiperOrigin-RevId: 288373298

--
465865c4123e9481ab50ea0527e92b39519704dd by Derek Mauro <dmauro@google.com>:

Changes to support GCC 9
 * Fix several -Wredundant-move warnings
 * Remove FlatHashMap.Any test, which basically doesn't work on any platform
   any more (see https://cplusplus.github.io/LWG/lwg-active.html#3121)
 * Fix a constant sign-compare warning
 * Conditionally compile out the PoisonHash test which doesn't build

PiperOrigin-RevId: 288360204

--
57c4bb07fc58e7dd2a04f3c45027aab5ecaccf25 by Andy Soffer <asoffer@google.com>:

Deflaking MockingBitGen test. Because MockingBitGen can return random values,
it is inherently flaky. For log-unifrom, 2040 is a common enough value that
tests failed unreasonably frequently. Replacing it with a significantly larger
value so as to be much less common. 50000 is a good choice because it is (tied for) the least likely to occur randomly from this distribution, but is still in the distribution.

PiperOrigin-RevId: 288360112

--
86f38e4109899d972de353b1c556c018cfe37956 by Matt Calabrese <calabrese@google.com>:

Remove construction tests for the internal `CompressedTuple<std::any>` instantiation. This was not guaranteed to work for the reasons that `std::tuple<std::any>` copy construction does not actually work by standard specification (some implementations introduce workarounds for this). In GCC9, `CompressedTuple<std::any>` and `std::tuple<std::any>` both fail for the same reasons, and a proper "fix" requires updating `std::any`, which is out of our control.

PiperOrigin-RevId: 288351977
GitOrigin-RevId: 7f6c15aadc4d97e217dd446518dbb4fdc86b36a3
Change-Id: I5d5c62bd297dc0ff1f2970ff076bb5cd088a7e4c
2020-01-07 14:50:44 -05:00

278 lines
9.5 KiB
C++

//
// 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 {
ABSL_NAMESPACE_BEGIN
struct IntervalClosedClosedTag;
struct IntervalClosedOpenTag;
struct IntervalOpenClosedTag;
struct IntervalOpenOpenTag;
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, ", ");
}
};
template <typename NumType>
struct UniformDistributionWrapper;
template <typename NumType>
struct DistributionFormatTraits<UniformDistributionWrapper<NumType>> {
using distribution_t = UniformDistributionWrapper<NumType>;
using result_t = NumType;
static constexpr const char* Name() { return "Uniform"; }
static std::string FunctionName() {
return absl::StrCat(Name(), "<", ScalarTypeName<NumType>(), ">");
}
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, ", ");
}
};
} // namespace random_internal
ABSL_NAMESPACE_END
} // namespace absl
#endif // ABSL_RANDOM_DISTRIBUTION_FORMAT_TRAITS_H_