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
This commit is contained in:
Abseil Team 2020-01-07 06:56:49 -08:00 committed by Derek Mauro
parent a048203a88
commit 63ee2f8877
22 changed files with 386 additions and 76 deletions

View file

@ -253,41 +253,6 @@ TEST(FlatHashMap, EraseIf) {
}
}
#if (defined(ABSL_USES_STD_ANY) || !defined(_LIBCPP_VERSION)) && \
!defined(__EMSCRIPTEN__)
TEST(FlatHashMap, Any) {
absl::flat_hash_map<int, absl::any> m;
m.emplace(1, 7);
auto it = m.find(1);
ASSERT_NE(it, m.end());
EXPECT_EQ(7, absl::any_cast<int>(it->second));
m.emplace(std::piecewise_construct, std::make_tuple(2), std::make_tuple(8));
it = m.find(2);
ASSERT_NE(it, m.end());
EXPECT_EQ(8, absl::any_cast<int>(it->second));
m.emplace(std::piecewise_construct, std::make_tuple(3),
std::make_tuple(absl::any(9)));
it = m.find(3);
ASSERT_NE(it, m.end());
EXPECT_EQ(9, absl::any_cast<int>(it->second));
struct H {
size_t operator()(const absl::any&) const { return 0; }
};
struct E {
bool operator()(const absl::any&, const absl::any&) const { return true; }
};
absl::flat_hash_map<absl::any, int, H, E> m2;
m2.emplace(1, 7);
auto it2 = m2.find(1);
ASSERT_NE(it2, m2.end());
EXPECT_EQ(7, it2->second);
}
#endif // (defined(ABSL_USES_STD_ANY) || !defined(_LIBCPP_VERSION)) &&
// !defined(__EMSCRIPTEN__)
} // namespace
} // namespace container_internal
ABSL_NAMESPACE_END

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@ -333,10 +333,6 @@ TEST(CompressedTupleTest, AnyElements) {
a = 0.5f;
EXPECT_EQ(absl::any_cast<float>(x.get<1>()), 0.5);
// Ensure copy construction work in the face of a type with a universal
// implicit constructor;
CompressedTuple<absl::any> c{}, d(c); // NOLINT
}
TEST(CompressedTupleTest, Constexpr) {

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@ -460,7 +460,7 @@ struct DummyFooBar {
const char* bar = "bar";
h = H::combine_contiguous(std::move(h), foo, 3);
h = H::combine_contiguous(std::move(h), bar, 3);
return std::move(h);
return h;
}
};
@ -595,7 +595,10 @@ TEST(IsHashableTest, PoisonHash) {
EXPECT_FALSE(absl::is_copy_assignable<absl::Hash<X>>::value);
EXPECT_FALSE(absl::is_move_assignable<absl::Hash<X>>::value);
EXPECT_FALSE(IsHashCallable<X>::value);
#if !defined(__GNUC__) || __GNUC__ < 9
// This doesn't compile on GCC 9.
EXPECT_FALSE(IsAggregateInitializable<absl::Hash<X>>::value);
#endif
}
#endif // ABSL_META_INTERNAL_STD_HASH_SFINAE_FRIENDLY_

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@ -57,7 +57,7 @@ class PiecewiseCombiner;
// Internal detail: Large buffers are hashed in smaller chunks. This function
// returns the size of these chunks.
constexpr int PiecewiseChunkSize() { return 1024; }
constexpr size_t PiecewiseChunkSize() { return 1024; }
// HashStateBase
//
@ -951,7 +951,7 @@ H PiecewiseCombiner::add_buffer(H state, const unsigned char* data,
// This partial chunk does not fill our existing buffer
memcpy(buf_ + position_, data, size);
position_ += size;
return std::move(state);
return state;
}
// Complete the buffer and hash it
@ -970,7 +970,7 @@ H PiecewiseCombiner::add_buffer(H state, const unsigned char* data,
// Fill the buffer with the remainder
memcpy(buf_, data, size);
position_ = size;
return std::move(state);
return state;
}
// HashStateBase::PiecewiseCombiner::finalize()

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@ -53,6 +53,7 @@ cc_library(
"bernoulli_distribution.h",
"beta_distribution.h",
"discrete_distribution.h",
"distribution_format_traits.h",
"distributions.h",
"exponential_distribution.h",
"gaussian_distribution.h",

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@ -78,6 +78,7 @@ absl_cc_library(
${ABSL_DEFAULT_LINKOPTS}
DEPS
absl::random_random
absl::strings
)
# Internal-only target, do not depend on directly.
@ -167,6 +168,7 @@ absl_cc_library(
"bernoulli_distribution.h"
"beta_distribution.h"
"discrete_distribution.h"
"distribution_format_traits.h"
"distributions.h"
"exponential_distribution.h"
"gaussian_distribution.h"

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@ -132,7 +132,7 @@ namespace random_internal {
template <>
struct DistributionCaller<absl::BitGenRef> {
template <typename DistrT, typename... Args>
template <typename DistrT, typename FormatT, typename... Args>
static typename DistrT::result_type Call(absl::BitGenRef* gen_ref,
Args&&... args) {
auto* mock_ptr = gen_ref->mocked_gen_ptr_;
@ -140,7 +140,8 @@ struct DistributionCaller<absl::BitGenRef> {
DistrT dist(std::forward<Args>(args)...);
return dist(*gen_ref);
} else {
return mock_ptr->template Call<DistrT>(std::forward<Args>(args)...);
return mock_ptr->template Call<DistrT, FormatT>(
std::forward<Args>(args)...);
}
}
};

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@ -0,0 +1,278 @@
//
// 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_

View file

@ -55,6 +55,7 @@
#include "absl/base/internal/inline_variable.h"
#include "absl/random/bernoulli_distribution.h"
#include "absl/random/beta_distribution.h"
#include "absl/random/distribution_format_traits.h"
#include "absl/random/exponential_distribution.h"
#include "absl/random/gaussian_distribution.h"
#include "absl/random/internal/distributions.h" // IWYU pragma: export
@ -125,13 +126,14 @@ Uniform(TagType tag,
R lo, R hi) {
using gen_t = absl::decay_t<URBG>;
using distribution_t = random_internal::UniformDistributionWrapper<R>;
using format_t = random_internal::DistributionFormatTraits<distribution_t>;
auto a = random_internal::uniform_lower_bound(tag, lo, hi);
auto b = random_internal::uniform_upper_bound(tag, lo, hi);
if (a > b) return a;
return random_internal::DistributionCaller<gen_t>::template Call<
distribution_t>(&urbg, tag, lo, hi);
distribution_t, format_t>(&urbg, tag, lo, hi);
}
// absl::Uniform<T>(bitgen, lo, hi)
@ -144,6 +146,7 @@ Uniform(URBG&& urbg, // NOLINT(runtime/references)
R lo, R hi) {
using gen_t = absl::decay_t<URBG>;
using distribution_t = random_internal::UniformDistributionWrapper<R>;
using format_t = random_internal::DistributionFormatTraits<distribution_t>;
constexpr auto tag = absl::IntervalClosedOpen;
auto a = random_internal::uniform_lower_bound(tag, lo, hi);
@ -151,7 +154,7 @@ Uniform(URBG&& urbg, // NOLINT(runtime/references)
if (a > b) return a;
return random_internal::DistributionCaller<gen_t>::template Call<
distribution_t>(&urbg, lo, hi);
distribution_t, format_t>(&urbg, lo, hi);
}
// absl::Uniform(tag, bitgen, lo, hi)
@ -169,13 +172,14 @@ Uniform(TagType tag,
using gen_t = absl::decay_t<URBG>;
using return_t = typename random_internal::uniform_inferred_return_t<A, B>;
using distribution_t = random_internal::UniformDistributionWrapper<return_t>;
using format_t = random_internal::DistributionFormatTraits<distribution_t>;
auto a = random_internal::uniform_lower_bound<return_t>(tag, lo, hi);
auto b = random_internal::uniform_upper_bound<return_t>(tag, lo, hi);
if (a > b) return a;
return random_internal::DistributionCaller<gen_t>::template Call<
distribution_t>(&urbg, tag, static_cast<return_t>(lo),
distribution_t, format_t>(&urbg, tag, static_cast<return_t>(lo),
static_cast<return_t>(hi));
}
@ -192,6 +196,7 @@ Uniform(URBG&& urbg, // NOLINT(runtime/references)
using gen_t = absl::decay_t<URBG>;
using return_t = typename random_internal::uniform_inferred_return_t<A, B>;
using distribution_t = random_internal::UniformDistributionWrapper<return_t>;
using format_t = random_internal::DistributionFormatTraits<distribution_t>;
constexpr auto tag = absl::IntervalClosedOpen;
auto a = random_internal::uniform_lower_bound<return_t>(tag, lo, hi);
@ -199,7 +204,7 @@ Uniform(URBG&& urbg, // NOLINT(runtime/references)
if (a > b) return a;
return random_internal::DistributionCaller<gen_t>::template Call<
distribution_t>(&urbg, static_cast<return_t>(lo),
distribution_t, format_t>(&urbg, static_cast<return_t>(lo),
static_cast<return_t>(hi));
}
@ -212,9 +217,10 @@ typename absl::enable_if_t<!std::is_signed<R>::value, R> //
Uniform(URBG&& urbg) { // NOLINT(runtime/references)
using gen_t = absl::decay_t<URBG>;
using distribution_t = random_internal::UniformDistributionWrapper<R>;
using format_t = random_internal::DistributionFormatTraits<distribution_t>;
return random_internal::DistributionCaller<gen_t>::template Call<
distribution_t>(&urbg);
distribution_t, format_t>(&urbg);
}
// -----------------------------------------------------------------------------
@ -242,9 +248,10 @@ bool Bernoulli(URBG&& urbg, // NOLINT(runtime/references)
double p) {
using gen_t = absl::decay_t<URBG>;
using distribution_t = absl::bernoulli_distribution;
using format_t = random_internal::DistributionFormatTraits<distribution_t>;
return random_internal::DistributionCaller<gen_t>::template Call<
distribution_t>(&urbg, p);
distribution_t, format_t>(&urbg, p);
}
// -----------------------------------------------------------------------------
@ -274,9 +281,10 @@ RealType Beta(URBG&& urbg, // NOLINT(runtime/references)
using gen_t = absl::decay_t<URBG>;
using distribution_t = typename absl::beta_distribution<RealType>;
using format_t = random_internal::DistributionFormatTraits<distribution_t>;
return random_internal::DistributionCaller<gen_t>::template Call<
distribution_t>(&urbg, alpha, beta);
distribution_t, format_t>(&urbg, alpha, beta);
}
// -----------------------------------------------------------------------------
@ -306,9 +314,10 @@ RealType Exponential(URBG&& urbg, // NOLINT(runtime/references)
using gen_t = absl::decay_t<URBG>;
using distribution_t = typename absl::exponential_distribution<RealType>;
using format_t = random_internal::DistributionFormatTraits<distribution_t>;
return random_internal::DistributionCaller<gen_t>::template Call<
distribution_t>(&urbg, lambda);
distribution_t, format_t>(&urbg, lambda);
}
// -----------------------------------------------------------------------------
@ -337,9 +346,10 @@ RealType Gaussian(URBG&& urbg, // NOLINT(runtime/references)
using gen_t = absl::decay_t<URBG>;
using distribution_t = typename absl::gaussian_distribution<RealType>;
using format_t = random_internal::DistributionFormatTraits<distribution_t>;
return random_internal::DistributionCaller<gen_t>::template Call<
distribution_t>(&urbg, mean, stddev);
distribution_t, format_t>(&urbg, mean, stddev);
}
// -----------------------------------------------------------------------------
@ -379,9 +389,10 @@ IntType LogUniform(URBG&& urbg, // NOLINT(runtime/references)
using gen_t = absl::decay_t<URBG>;
using distribution_t = typename absl::log_uniform_int_distribution<IntType>;
using format_t = random_internal::DistributionFormatTraits<distribution_t>;
return random_internal::DistributionCaller<gen_t>::template Call<
distribution_t>(&urbg, lo, hi, base);
distribution_t, format_t>(&urbg, lo, hi, base);
}
// -----------------------------------------------------------------------------
@ -409,9 +420,10 @@ IntType Poisson(URBG&& urbg, // NOLINT(runtime/references)
using gen_t = absl::decay_t<URBG>;
using distribution_t = typename absl::poisson_distribution<IntType>;
using format_t = random_internal::DistributionFormatTraits<distribution_t>;
return random_internal::DistributionCaller<gen_t>::template Call<
distribution_t>(&urbg, mean);
distribution_t, format_t>(&urbg, mean);
}
// -----------------------------------------------------------------------------
@ -441,9 +453,10 @@ IntType Zipf(URBG&& urbg, // NOLINT(runtime/references)
using gen_t = absl::decay_t<URBG>;
using distribution_t = typename absl::zipf_distribution<IntType>;
using format_t = random_internal::DistributionFormatTraits<distribution_t>;
return random_internal::DistributionCaller<gen_t>::template Call<
distribution_t>(&urbg, hi, q, v);
distribution_t, format_t>(&urbg, hi, q, v);
}
ABSL_NAMESPACE_END

View file

@ -509,6 +509,7 @@ cc_library(
linkopts = ABSL_DEFAULT_LINKOPTS,
deps = [
"//absl/random",
"//absl/strings",
],
)

View file

@ -31,8 +31,22 @@ namespace random_internal {
template <typename URBG>
struct DistributionCaller {
// Call the provided distribution type. The parameters are expected
// to be explicitly specified. DistrT is the distribution type.
template <typename DistrT, typename... Args>
// to be explicitly specified.
// DistrT is the distribution type.
// FormatT is the formatter type:
//
// struct FormatT {
// using result_type = distribution_t::result_type;
// static std::string FormatCall(
// const distribution_t& distr,
// absl::Span<const result_type>);
//
// static std::string FormatExpectation(
// absl::string_view match_args,
// absl::Span<const result_t> results);
// }
//
template <typename DistrT, typename FormatT, typename... Args>
static typename DistrT::result_type Call(URBG* urbg, Args&&... args) {
DistrT dist(std::forward<Args>(args)...);
return dist(*urbg);

View file

@ -16,14 +16,39 @@
#ifndef ABSL_RANDOM_INTERNAL_MOCKING_BIT_GEN_BASE_H_
#define ABSL_RANDOM_INTERNAL_MOCKING_BIT_GEN_BASE_H_
#include <atomic>
#include <deque>
#include <string>
#include <typeinfo>
#include "absl/random/random.h"
#include "absl/strings/str_cat.h"
namespace absl {
ABSL_NAMESPACE_BEGIN
namespace random_internal {
// MockingBitGenExpectationFormatter is invoked to format unsatisfied mocks
// and remaining results into a description string.
template <typename DistrT, typename FormatT>
struct MockingBitGenExpectationFormatter {
std::string operator()(absl::string_view args) {
return absl::StrCat(FormatT::FunctionName(), "(", args, ")");
}
};
// MockingBitGenCallFormatter is invoked to format each distribution call
// into a description string for the mock log.
template <typename DistrT, typename FormatT>
struct MockingBitGenCallFormatter {
std::string operator()(const DistrT& dist,
const typename DistrT::result_type& result) {
return absl::StrCat(
FormatT::FunctionName(), "(", FormatT::FormatArgs(dist), ") => {",
FormatT::FormatResults(absl::MakeSpan(&result, 1)), "}");
}
};
class MockingBitGenBase {
template <typename>
friend struct DistributionCaller;
@ -36,9 +61,14 @@ class MockingBitGenBase {
static constexpr result_type(max)() { return (generator_type::max)(); }
result_type operator()() { return gen_(); }
MockingBitGenBase() : gen_(), observed_call_log_() {}
virtual ~MockingBitGenBase() = default;
protected:
const std::deque<std::string>& observed_call_log() {
return observed_call_log_;
}
// CallImpl is the type-erased virtual dispatch.
// The type of dist is always distribution<T>,
// The type of result is always distribution<T>::result_type.
@ -51,9 +81,10 @@ class MockingBitGenBase {
}
// Call the generating distribution function.
// Invoked by DistributionCaller<>::Call<DistT>.
// Invoked by DistributionCaller<>::Call<DistT, FormatT>.
// DistT is the distribution type.
template <typename DistrT, typename... Args>
// FormatT is the distribution formatter traits type.
template <typename DistrT, typename FormatT, typename... Args>
typename DistrT::result_type Call(Args&&... args) {
using distr_result_type = typename DistrT::result_type;
using ArgTupleT = std::tuple<absl::decay_t<Args>...>;
@ -68,11 +99,18 @@ class MockingBitGenBase {
if (!found_match) {
result = dist(gen_);
}
// TODO(asoffer): Forwarding the args through means we no longer need to
// extract them from the from the distribution in formatter traits. We can
// just StrJoin them.
observed_call_log_.push_back(
MockingBitGenCallFormatter<DistrT, FormatT>{}(dist, result));
return result;
}
private:
generator_type gen_;
std::deque<std::string> observed_call_log_;
}; // namespace random_internal
} // namespace random_internal

View file

@ -20,6 +20,7 @@
namespace absl {
ABSL_NAMESPACE_BEGIN
MockingBitGen::~MockingBitGen() {
for (const auto& del : deleters_) {
del();
}

View file

@ -109,7 +109,7 @@ class MockingBitGen : public absl::random_internal::MockingBitGenBase {
// MockingBitGen::Register
//
// Register<DistrT, ArgTupleT> is the main extension point for
// Register<DistrT, FormatT, ArgTupleT> is the main extension point for
// extending the MockingBitGen framework. It provides a mechanism to install a
// mock expectation for the distribution `distr_t` onto the MockingBitGen
// context.
@ -182,10 +182,10 @@ namespace random_internal {
template <>
struct DistributionCaller<absl::MockingBitGen> {
template <typename DistrT, typename... Args>
template <typename DistrT, typename FormatT, typename... Args>
static typename DistrT::result_type Call(absl::MockingBitGen* gen,
Args&&... args) {
return gen->template Call<DistrT>(std::forward<Args>(args)...);
return gen->template Call<DistrT, FormatT>(std::forward<Args>(args)...);
}
};

View file

@ -66,10 +66,10 @@ TEST(BasicMocking, AllDistributionsAreOverridable) {
.WillOnce(Return(0.001));
EXPECT_EQ(absl::Gaussian<double>(gen, 0.0, 1.0), 0.001);
EXPECT_NE(absl::LogUniform<int>(gen, 0, 1000000, 2), 2040);
EXPECT_NE(absl::LogUniform<int>(gen, 0, 1000000, 2), 500000);
EXPECT_CALL(absl::MockLogUniform<int>(), Call(gen, 0, 1000000, 2))
.WillOnce(Return(2040));
EXPECT_EQ(absl::LogUniform<int>(gen, 0, 1000000, 2), 2040);
.WillOnce(Return(500000));
EXPECT_EQ(absl::LogUniform<int>(gen, 0, 1000000, 2), 500000);
}
TEST(BasicMocking, OnDistribution) {

View file

@ -412,7 +412,6 @@ cc_test(
copts = ABSL_TEST_COPTS,
visibility = ["//visibility:private"],
deps = [
":internal",
":pow10_helper",
":strings",
"//absl/base:config",

View file

@ -275,7 +275,6 @@ absl_cc_test(
${ABSL_TEST_COPTS}
DEPS
absl::strings
absl::strings_internal
absl::core_headers
absl::pow10_helper
absl::config

View file

@ -40,7 +40,6 @@
#include "absl/random/distributions.h"
#include "absl/random/random.h"
#include "absl/strings/internal/numbers_test_common.h"
#include "absl/strings/internal/ostringstream.h"
#include "absl/strings/internal/pow10_helper.h"
#include "absl/strings/str_cat.h"

View file

@ -28,5 +28,5 @@ time docker run \
--rm \
-e CFLAGS="-Werror" \
-e CXXFLAGS="-Werror" \
gcr.io/google.com/absl-177019/linux_gcc-latest:20200102 \
gcr.io/google.com/absl-177019/linux_gcc-latest:20200106 \
/bin/bash CMake/install_test_project/test.sh $@

View file

@ -36,7 +36,7 @@ if [ -z ${EXCEPTIONS_MODE:-} ]; then
EXCEPTIONS_MODE="-fno-exceptions -fexceptions"
fi
readonly DOCKER_CONTAINER="gcr.io/google.com/absl-177019/linux_gcc-latest:20200102"
readonly DOCKER_CONTAINER="gcr.io/google.com/absl-177019/linux_gcc-latest:20200106"
# USE_BAZEL_CACHE=1 only works on Kokoro.
# Without access to the credentials this won't work.

View file

@ -47,7 +47,7 @@ for std in ${ABSL_CMAKE_CXX_STANDARDS}; do
--rm \
-e CFLAGS="-Werror" \
-e CXXFLAGS="-Werror" \
gcr.io/google.com/absl-177019/linux_gcc-latest:20200102 \
gcr.io/google.com/absl-177019/linux_gcc-latest:20200106 \
/bin/bash -c "
cd /buildfs && \
cmake /abseil-cpp \

View file

@ -24,7 +24,7 @@ if [ -z ${ABSEIL_ROOT:-} ]; then
fi
# If we are running on Kokoro, check for a versioned Bazel binary.
KOKORO_GFILE_BAZEL_BIN="bazel-0.28.1-darwin-x86_64"
KOKORO_GFILE_BAZEL_BIN="bazel-2.0.0-darwin-x86_64"
if [ ${KOKORO_GFILE_DIR:-} ] && [ -f ${KOKORO_GFILE_DIR}/${KOKORO_GFILE_BAZEL_BIN} ]; then
BAZEL_BIN="${KOKORO_GFILE_DIR}/${KOKORO_GFILE_BAZEL_BIN}"
chmod +x ${BAZEL_BIN}