tvl-depot/absl/random/distribution_format_traits.h
Abseil Team e9324d926a Export of internal Abseil changes.
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7a6ff16a85beb730c172d5d25cf1b5e1be885c56 by Laramie Leavitt <lar@google.com>:

Internal change.

PiperOrigin-RevId: 254454546

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ff8f9bafaefc26d451f576ea4a06d150aed63f6f by Andy Soffer <asoffer@google.com>:

Internal changes

PiperOrigin-RevId: 254451562

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deefc5b651b479ce36f0b4ef203e119c0c8936f2 by CJ Johnson <johnsoncj@google.com>:

Account for subtracting unsigned values from the size of InlinedVector

PiperOrigin-RevId: 254450625

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3c677316a27bcadc17e41957c809ca472d5fef14 by Andy Soffer <asoffer@google.com>:

Add C++17's std::make_from_tuple to absl/utility/utility.h

PiperOrigin-RevId: 254411573

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4ee3536a918830eeec402a28fc31a62c7c90b940 by CJ Johnson <johnsoncj@google.com>:

Adds benchmark for the rest of the InlinedVector public API

PiperOrigin-RevId: 254408378

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e5a21a00700ee83498ff1efbf649169756463ee4 by CJ Johnson <johnsoncj@google.com>:

Updates the definition of InlinedVector::shrink_to_fit() to be exception safe and adds exception safety tests for it.

PiperOrigin-RevId: 254401387

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2ea82e72b86d82d78b4e4712a63a55981b53c64b by Laramie Leavitt <lar@google.com>:

Use absl::InsecureBitGen in place of std::mt19937
in tests absl/random/...distribution_test.cc

PiperOrigin-RevId: 254289444

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fa099e02c413a7ffda732415e8105cad26a90337 by Andy Soffer <asoffer@google.com>:

Internal changes

PiperOrigin-RevId: 254286334

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ce34b7f36933b30cfa35b9c9a5697a792b5666e4 by Andy Soffer <asoffer@google.com>:

Internal changes

PiperOrigin-RevId: 254273059

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6f9c473da7c2090c2e85a37c5f00622e8a912a89 by Jorg Brown <jorg@google.com>:

Change absl::container_internal::CompressedTuple to instantiate its
internal Storage class with the name of the type it's holding, rather
than the name of the Tuple.  This is not an externally-visible change,
other than less compiler memory is used and less debug information is
generated.

PiperOrigin-RevId: 254269285

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8bd3c186bf2fc0c55d8a2dd6f28a5327502c9fba by Andy Soffer <asoffer@google.com>:

Adding short-hand IntervalClosed for IntervalClosedClosed and IntervalOpen for
IntervalOpenOpen.

PiperOrigin-RevId: 254252419

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ea957f99b6a04fccd42aa05605605f3b44b1ecfd by Abseil Team <absl-team@google.com>:

Do not directly use __SIZEOF_INT128__.

In order to avoid linker errors when building with clang-cl (__fixunsdfti, __udivti3 and __fixunssfti are undefined), this CL uses ABSL_HAVE_INTRINSIC_INT128 which is not defined for clang-cl.

PiperOrigin-RevId: 254250739

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89ab385cd26b34d64130bce856253aaba96d2345 by Andy Soffer <asoffer@google.com>:

Internal changes

PiperOrigin-RevId: 254242321

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cffc793d93eca6d6bdf7de733847b6ab4a255ae9 by CJ Johnson <johnsoncj@google.com>:

Adds benchmark for InlinedVector::reserve(size_type)

PiperOrigin-RevId: 254199226

--
c90c7a9fa3c8f0c9d5114036979548b055ea2f2a by Gennadiy Rozental <rogeeff@google.com>:

Import of CCTZ from GitHub.

PiperOrigin-RevId: 254072387

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c4c388beae016c9570ab54ffa1d52660e4a85b7b by Laramie Leavitt <lar@google.com>:

Internal cleanup.

PiperOrigin-RevId: 254062381

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d3c992e221cc74e5372d0c8fa410170b6a43c062 by Tom Manshreck <shreck@google.com>:

Update distributions.h to Abseil standards

PiperOrigin-RevId: 254054946

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d15ad0035c34ef11b14fadc5a4a2d3ec415f5518 by CJ Johnson <johnsoncj@google.com>:

Removes functions with only one caller from the implementation details of InlinedVector by manually inlining the definitions

PiperOrigin-RevId: 254005427

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2f37e807efc3a8ef1f4b539bdd379917d4151520 by Andy Soffer <asoffer@google.com>:

Initial release of Abseil Random

PiperOrigin-RevId: 253999861

--
24ed1694b6430791d781ed533a8f8ccf6cac5856 by CJ Johnson <johnsoncj@google.com>:

Updates the definition of InlinedVector::assign(...)/InlinedVector::operator=(...) to new, exception-safe implementations with exception safety tests to boot

PiperOrigin-RevId: 253993691

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5613d95f5a7e34a535cfaeadce801441e990843e by CJ Johnson <johnsoncj@google.com>:

Adds benchmarks for InlinedVector::shrink_to_fit()

PiperOrigin-RevId: 253989647

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2a96ddfdac40bbb8cb6a7f1aeab90917067c6e63 by Abseil Team <absl-team@google.com>:

Initial release of Abseil Random

PiperOrigin-RevId: 253927497

--
bf1aff8fc9ffa921ad74643e9525ecf25b0d8dc1 by Andy Soffer <asoffer@google.com>:

Initial release of Abseil Random

PiperOrigin-RevId: 253920512

--
bfc03f4a3dcda3cf3a4b84bdb84cda24e3394f41 by Laramie Leavitt <lar@google.com>:

Internal change.

PiperOrigin-RevId: 253886486

--
05036cfcc078ca7c5f581a00dfb0daed568cbb69 by Eric Fiselier <ericwf@google.com>:

Don't include `winsock2.h` because it drags in `windows.h` and friends,
and they define awful macros like OPAQUE, ERROR, and more. This has the
potential to break abseil users.

Instead we only forward declare `timeval` and require Windows users
include `winsock2.h` themselves. This is both inconsistent and poor QoI, but so
including 'windows.h' is bad too.

PiperOrigin-RevId: 253852615
GitOrigin-RevId: 7a6ff16a85beb730c172d5d25cf1b5e1be885c56
Change-Id: Icd6aff87da26f29ec8915da856f051129987cef6
2019-06-21 16:18:10 -04:00

249 lines
8.7 KiB
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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 {
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
} // namespace absl
#endif // ABSL_RANDOM_DISTRIBUTION_FORMAT_TRAITS_H_