63ee2f8877
-- 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
278 lines
9.5 KiB
C++
278 lines
9.5 KiB
C++
//
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// Copyright 2018 The Abseil Authors.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// https://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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#ifndef ABSL_RANDOM_DISTRIBUTION_FORMAT_TRAITS_H_
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#define ABSL_RANDOM_DISTRIBUTION_FORMAT_TRAITS_H_
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#include <string>
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#include <tuple>
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#include <typeinfo>
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#include "absl/meta/type_traits.h"
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#include "absl/random/bernoulli_distribution.h"
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#include "absl/random/beta_distribution.h"
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#include "absl/random/exponential_distribution.h"
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#include "absl/random/gaussian_distribution.h"
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#include "absl/random/log_uniform_int_distribution.h"
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#include "absl/random/poisson_distribution.h"
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#include "absl/random/uniform_int_distribution.h"
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#include "absl/random/uniform_real_distribution.h"
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#include "absl/random/zipf_distribution.h"
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#include "absl/strings/str_cat.h"
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#include "absl/strings/str_join.h"
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#include "absl/strings/string_view.h"
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#include "absl/types/span.h"
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namespace absl {
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ABSL_NAMESPACE_BEGIN
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struct IntervalClosedClosedTag;
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struct IntervalClosedOpenTag;
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struct IntervalOpenClosedTag;
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struct IntervalOpenOpenTag;
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namespace random_internal {
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// ScalarTypeName defines a preferred hierarchy of preferred type names for
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// scalars, and is evaluated at compile time for the specific type
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// specialization.
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template <typename T>
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constexpr const char* ScalarTypeName() {
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static_assert(std::is_integral<T>() || std::is_floating_point<T>(), "");
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// clang-format off
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return
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std::is_same<T, float>::value ? "float" :
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std::is_same<T, double>::value ? "double" :
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std::is_same<T, long double>::value ? "long double" :
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std::is_same<T, bool>::value ? "bool" :
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std::is_signed<T>::value && sizeof(T) == 1 ? "int8_t" :
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std::is_signed<T>::value && sizeof(T) == 2 ? "int16_t" :
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std::is_signed<T>::value && sizeof(T) == 4 ? "int32_t" :
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std::is_signed<T>::value && sizeof(T) == 8 ? "int64_t" :
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std::is_unsigned<T>::value && sizeof(T) == 1 ? "uint8_t" :
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std::is_unsigned<T>::value && sizeof(T) == 2 ? "uint16_t" :
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std::is_unsigned<T>::value && sizeof(T) == 4 ? "uint32_t" :
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std::is_unsigned<T>::value && sizeof(T) == 8 ? "uint64_t" :
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"undefined";
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// clang-format on
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// NOTE: It would be nice to use typeid(T).name(), but that's an
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// implementation-defined attribute which does not necessarily
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// correspond to a name. We could potentially demangle it
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// using, e.g. abi::__cxa_demangle.
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}
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// Distribution traits used by DistributionCaller and internal implementation
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// details of the mocking framework.
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/*
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struct DistributionFormatTraits {
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// Returns the parameterized name of the distribution function.
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static constexpr const char* FunctionName()
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// Format DistrT parameters.
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static std::string FormatArgs(DistrT& dist);
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// Format DistrT::result_type results.
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static std::string FormatResults(DistrT& dist);
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};
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*/
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template <typename DistrT>
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struct DistributionFormatTraits;
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template <typename R>
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struct DistributionFormatTraits<absl::uniform_int_distribution<R>> {
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using distribution_t = absl::uniform_int_distribution<R>;
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using result_t = typename distribution_t::result_type;
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static constexpr const char* Name() { return "Uniform"; }
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static std::string FunctionName() {
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return absl::StrCat(Name(), "<", ScalarTypeName<R>(), ">");
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}
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static std::string FormatArgs(const distribution_t& d) {
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return absl::StrCat("absl::IntervalClosedClosed, ", (d.min)(), ", ",
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(d.max)());
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}
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static std::string FormatResults(absl::Span<const result_t> results) {
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return absl::StrJoin(results, ", ");
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}
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};
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template <typename R>
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struct DistributionFormatTraits<absl::uniform_real_distribution<R>> {
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using distribution_t = absl::uniform_real_distribution<R>;
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using result_t = typename distribution_t::result_type;
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static constexpr const char* Name() { return "Uniform"; }
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static std::string FunctionName() {
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return absl::StrCat(Name(), "<", ScalarTypeName<R>(), ">");
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}
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static std::string FormatArgs(const distribution_t& d) {
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return absl::StrCat((d.min)(), ", ", (d.max)());
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}
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static std::string FormatResults(absl::Span<const result_t> results) {
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return absl::StrJoin(results, ", ");
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}
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};
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template <typename R>
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struct DistributionFormatTraits<absl::exponential_distribution<R>> {
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using distribution_t = absl::exponential_distribution<R>;
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using result_t = typename distribution_t::result_type;
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static constexpr const char* Name() { return "Exponential"; }
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static std::string FunctionName() {
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return absl::StrCat(Name(), "<", ScalarTypeName<R>(), ">");
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}
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static std::string FormatArgs(const distribution_t& d) {
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return absl::StrCat(d.lambda());
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}
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static std::string FormatResults(absl::Span<const result_t> results) {
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return absl::StrJoin(results, ", ");
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}
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};
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template <typename R>
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struct DistributionFormatTraits<absl::poisson_distribution<R>> {
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using distribution_t = absl::poisson_distribution<R>;
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using result_t = typename distribution_t::result_type;
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static constexpr const char* Name() { return "Poisson"; }
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static std::string FunctionName() {
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return absl::StrCat(Name(), "<", ScalarTypeName<R>(), ">");
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}
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static std::string FormatArgs(const distribution_t& d) {
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return absl::StrCat(d.mean());
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}
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static std::string FormatResults(absl::Span<const result_t> results) {
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return absl::StrJoin(results, ", ");
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}
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};
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template <>
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struct DistributionFormatTraits<absl::bernoulli_distribution> {
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using distribution_t = absl::bernoulli_distribution;
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using result_t = typename distribution_t::result_type;
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static constexpr const char* Name() { return "Bernoulli"; }
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static constexpr const char* FunctionName() { return Name(); }
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static std::string FormatArgs(const distribution_t& d) {
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return absl::StrCat(d.p());
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}
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static std::string FormatResults(absl::Span<const result_t> results) {
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return absl::StrJoin(results, ", ");
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}
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};
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template <typename R>
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struct DistributionFormatTraits<absl::beta_distribution<R>> {
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using distribution_t = absl::beta_distribution<R>;
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using result_t = typename distribution_t::result_type;
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static constexpr const char* Name() { return "Beta"; }
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static std::string FunctionName() {
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return absl::StrCat(Name(), "<", ScalarTypeName<R>(), ">");
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}
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static std::string FormatArgs(const distribution_t& d) {
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return absl::StrCat(d.alpha(), ", ", d.beta());
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}
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static std::string FormatResults(absl::Span<const result_t> results) {
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return absl::StrJoin(results, ", ");
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}
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};
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template <typename R>
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struct DistributionFormatTraits<absl::zipf_distribution<R>> {
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using distribution_t = absl::zipf_distribution<R>;
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using result_t = typename distribution_t::result_type;
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static constexpr const char* Name() { return "Zipf"; }
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static std::string FunctionName() {
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return absl::StrCat(Name(), "<", ScalarTypeName<R>(), ">");
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}
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static std::string FormatArgs(const distribution_t& d) {
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return absl::StrCat(d.k(), ", ", d.v(), ", ", d.q());
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}
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static std::string FormatResults(absl::Span<const result_t> results) {
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return absl::StrJoin(results, ", ");
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}
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};
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template <typename R>
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struct DistributionFormatTraits<absl::gaussian_distribution<R>> {
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using distribution_t = absl::gaussian_distribution<R>;
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using result_t = typename distribution_t::result_type;
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static constexpr const char* Name() { return "Gaussian"; }
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static std::string FunctionName() {
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return absl::StrCat(Name(), "<", ScalarTypeName<R>(), ">");
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}
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static std::string FormatArgs(const distribution_t& d) {
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return absl::StrJoin(std::make_tuple(d.mean(), d.stddev()), ", ");
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}
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static std::string FormatResults(absl::Span<const result_t> results) {
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return absl::StrJoin(results, ", ");
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}
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};
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template <typename R>
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struct DistributionFormatTraits<absl::log_uniform_int_distribution<R>> {
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using distribution_t = absl::log_uniform_int_distribution<R>;
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using result_t = typename distribution_t::result_type;
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static constexpr const char* Name() { return "LogUniform"; }
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static std::string FunctionName() {
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return absl::StrCat(Name(), "<", ScalarTypeName<R>(), ">");
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}
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static std::string FormatArgs(const distribution_t& d) {
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return absl::StrJoin(std::make_tuple((d.min)(), (d.max)(), d.base()), ", ");
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}
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static std::string FormatResults(absl::Span<const result_t> results) {
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return absl::StrJoin(results, ", ");
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}
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};
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template <typename NumType>
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struct UniformDistributionWrapper;
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template <typename NumType>
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struct DistributionFormatTraits<UniformDistributionWrapper<NumType>> {
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using distribution_t = UniformDistributionWrapper<NumType>;
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using result_t = NumType;
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static constexpr const char* Name() { return "Uniform"; }
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static std::string FunctionName() {
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return absl::StrCat(Name(), "<", ScalarTypeName<NumType>(), ">");
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}
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static std::string FormatArgs(const distribution_t& d) {
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return absl::StrCat((d.min)(), ", ", (d.max)());
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}
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static std::string FormatResults(absl::Span<const result_t> results) {
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return absl::StrJoin(results, ", ");
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}
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};
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} // namespace random_internal
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ABSL_NAMESPACE_END
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} // namespace absl
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#endif // ABSL_RANDOM_DISTRIBUTION_FORMAT_TRAITS_H_
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