-- 167cd2647144583746311129b0cc98a89a9897e1 by Andy Soffer <asoffer@google.com>: Internal Changes PiperOrigin-RevId: 268000987 -- ab44fea7dfdaf763c69609a08ddfac22480ce520 by Derek Mauro <dmauro@google.com>: Fix flags Cmake tests on Windows PiperOrigin-RevId: 267859442 -- d7ec9f7611370b01bc9a5aed7e18460df2a15429 by Abseil Team <absl-team@google.com>: Fix undefined behavior in symbolize_elf.inc PiperOrigin-RevId: 267684904 -- e7c5f8e472a91ed99bdf4876942f2bda5751aa6c by Abseil Team <absl-team@google.com>: Turn off ABSL_HAS_ALARM on Fuchsia. PiperOrigin-RevId: 267666090 -- b7d25d5c71a49e697a8bf6440ed30f2e3f036420 by Chris Kennelly <ckennelly@google.com>: Mark once initialization function as no inline. We expect this code to run infrequently. PiperOrigin-RevId: 267649713 -- dc2a5e5f1e39a03fff837d34a319033fde55d9ba by Derek Mauro <dmauro@google.com>: Fix the MSVC CMake random build PiperOrigin-RevId: 267624074 -- ba2751b67fa17d1b6c53e5ba79f81a5371e4a03a by Abseil Team <absl-team@google.com>: Move "internal/flag.*" files to the "internal" build target. PiperOrigin-RevId: 267588996 -- 05b985a33eec4f8acff1809ad9218a1e22220f34 by Abseil Team <absl-team@google.com>: Move "internal/flag.*" files to the "internal" build target. PiperOrigin-RevId: 267580412 GitOrigin-RevId: 167cd2647144583746311129b0cc98a89a9897e1 Change-Id: Ibd334f46a5671c7c1d3fcf5354029e2fbb7ba91f
		
			
				
	
	
		
			288 lines
		
	
	
	
		
			10 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			288 lines
		
	
	
	
		
			10 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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| 
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| #include <string>
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| #include <tuple>
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| #include <typeinfo>
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| 
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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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| 
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| namespace absl {
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| 
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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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| 
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| namespace random_internal {
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| 
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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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| 
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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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| 
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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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| 
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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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| 
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|   static constexpr const char* Name() { return "Uniform"; }
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| 
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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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| 
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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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| 
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|   static constexpr const char* Name() { return "Uniform"; }
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| 
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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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| 
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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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| 
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|   static constexpr const char* Name() { return "Exponential"; }
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| 
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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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| 
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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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| 
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|   static constexpr const char* Name() { return "Poisson"; }
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| 
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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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| 
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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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| 
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|   static constexpr const char* Name() { return "Bernoulli"; }
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| 
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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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| 
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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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| 
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|   static constexpr const char* Name() { return "Beta"; }
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| 
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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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| 
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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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| 
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|   static constexpr const char* Name() { return "Zipf"; }
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| 
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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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| 
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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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| 
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|   static constexpr const char* Name() { return "Gaussian"; }
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| 
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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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| 
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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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| 
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|   static constexpr const char* Name() { return "LogUniform"; }
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| 
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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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| 
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| template <typename TagType, typename NumType>
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| struct UniformDistributionWrapper;
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| 
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| template <typename TagType, typename NumType>
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| struct DistributionFormatTraits<UniformDistributionWrapper<TagType, NumType>> {
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|   using distribution_t = UniformDistributionWrapper<TagType, NumType>;
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|   using result_t = NumType;
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| 
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|   static constexpr const char* Name() { return "Uniform"; }
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| 
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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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|     absl::string_view tag;
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|     if (std::is_same<TagType, IntervalClosedClosedTag>::value) {
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|       tag = "IntervalClosedClosed";
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|     } else if (std::is_same<TagType, IntervalClosedOpenTag>::value) {
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|       tag = "IntervalClosedOpen";
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|     } else if (std::is_same<TagType, IntervalOpenClosedTag>::value) {
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|       tag = "IntervalOpenClosed";
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|     } else if (std::is_same<TagType, IntervalOpenOpenTag>::value) {
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|       tag = "IntervalOpenOpen";
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|     } else {
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|       tag = "[[unknown tag type]]";
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|     }
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|     return absl::StrCat(tag, ", ", (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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| 
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| }  // namespace random_internal
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| }  // namespace absl
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| 
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| #endif  // ABSL_RANDOM_DISTRIBUTION_FORMAT_TRAITS_H_
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