Export of internal Abseil changes

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7f6c15aadc4d97e217dd446518dbb4fdc86b36a3 by Derek Mauro <dmauro@google.com>:

Upgrade GCC automated testing to use GCC 9.2 and Cmake 3.16.2

PiperOrigin-RevId: 288488783

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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

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

Upgrade MacOS tests to use Bazel 2.0.0

PiperOrigin-RevId: 288373298

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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

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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

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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

1 files changed, 278 insertions, 0 deletions

diff --git a/absl/random/distribution_format_traits.h b/absl/random/distribution_format_traits.h
new file mode 100644
index 00000000..22b358cc
--- /dev/null
+++ b/absl/random/distribution_format_traits.h
@@ -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_