Merge pull request #999 from boostorg/develop

Merge develop for 1.83

Author: mborland

.drone.star

@@ -16,13 +16,15 @@ windowsglobalimage="cppalliance/dronevs2019"
 def main(ctx):
 
   things_to_test = [ "special_fun", "distribution_tests", "mp", "misc", "interpolators", "quadrature", "autodiff", "long-running-tests", "float128_tests" ]
+  gcc13_things_to_test = [ "special_fun", "distribution_tests", "mp", "misc", "interpolators", "quadrature", "autodiff", "long-running-tests", "float128_tests", "new_floats" ]
   sanitizer_test = [ "special_fun", "distribution_tests", "misc", "interpolators", "quadrature", "float128_tests" ]
   gnu_5_stds = [ "gnu++14", "c++14" ]
   gnu_6_stds = [ "gnu++14", "c++14", "gnu++17", "c++17" ]
   clang_6_stds = [ "c++14", "c++17" ]
   gnu_9_stds = [ "gnu++14", "c++14", "gnu++17", "c++17", "gnu++2a", "c++2a" ]
   clang_10_stds = [ "c++14", "c++17", "c++2a" ]
   gnu_non_native = [ "gnu++17" ]
+  gcc13_stds = [ "c++23" ]
 
   result = []
 
@@ -59,6 +61,9 @@ def main(ctx):
       result.append(linux_cxx("Ubuntu g++ ARM64" + cxx + " " + suite, "g++", packages="g++", buildtype="boost", image="cppalliance/droneubuntu2204:multiarch", arch="arm64", environment={'TOOLSET': 'gcc', 'COMPILER': 'g++', 'CXXSTD': cxx, 'TEST_SUITE': suite, }, globalenv=globalenv))
     for cxx in gnu_non_native:
       result.append(osx_cxx("M1 Clang " + cxx + " " + suite, "clang++", buildscript="drone", buildtype="boost", xcode_version="14.1", environment={'TOOLSET': 'clang', 'CXXSTD': cxx, 'TEST_SUITE': suite, 'DEFINE': 'BOOST_MATH_NO_REAL_CONCEPT_TESTS,BOOST_MATH_NO_LONG_DOUBLE_MATH_FUNCTIONS,BOOST_MATH_MULTI_ARCH_CI_RUN', }, globalenv=globalenv))
+  for suite in gcc13_things_to_test:
+    for cxx in gcc13_stds:
+      result.append(linux_cxx("Ubuntu g++-13 " + cxx + " " + suite, "g++-13", packages="g++-13", buildtype="boost", image="cppalliance/droneubuntu2304:1", environment={'TOOLSET': 'gcc', 'COMPILER': 'g++-13', 'CXXSTD': cxx, 'TEST_SUITE': suite, }, globalenv=globalenv))
 
   return result
 

.github/workflows/ci.yml

@@ -9,6 +9,7 @@ on:
     branches:
       - master
       - develop
+      - feature/**
   pull_request:
   release:
     types: [published, created, edited]
@@ -47,7 +48,7 @@ jobs:
         if: steps.retry1.outcome=='failure'
         run: sudo apt-add-repository -y "ppa:ubuntu-toolchain-r/test"
       - name: Install packages
-        run: sudo apt install g++-12 clang-14 libgmp-dev libmpfr-dev libfftw3-dev
+        run: sudo apt-get install -y g++-12 clang-14 libgmp-dev libmpfr-dev libfftw3-dev
       - name: Checkout main boost
         run: git clone -b develop --depth 1 https://github.com/boostorg/boost.git ../boost-root
       - name: Update tools/boostdep
@@ -75,7 +76,7 @@ jobs:
         run: ./config_info_travis
         working-directory: ../boost-root/libs/config/test
       - name: Test
-        run: ../../../b2 toolset=$TOOLSET ${{ matrix.suite }} define=CI_SUPPRESS_KNOWN_ISSUES define=SLOW_COMPILER
+        run: ../../../b2 toolset=$TOOLSET ${{ matrix.suite }} define=CI_SUPPRESS_KNOWN_ISSUES define=SLOW_COMPILER define=BOOST_MATH_RUN_MP_TESTS
         working-directory: ../boost-root/libs/math/test
   ubuntu-focal-no-eh:
     runs-on: ubuntu-20.04
@@ -105,7 +106,7 @@ jobs:
         if: steps.retry1.outcome=='failure'
         run: sudo apt-add-repository -y "ppa:ubuntu-toolchain-r/test"
       - name: Install packages
-        run: sudo apt install g++-9 g++-11 clang-9 clang-10 libgmp-dev libmpfr-dev libfftw3-dev
+        run: sudo apt-get install -y g++-9 g++-11 clang-9 clang-10 libgmp-dev libmpfr-dev libfftw3-dev
       - name: Checkout main boost
         run: git clone -b develop --depth 1 https://github.com/boostorg/boost.git ../boost-root
       - name: Update tools/boostdep
@@ -214,7 +215,7 @@ jobs:
         run: config_info_travis
         working-directory: ../boost-root/libs/config/test
       - name: Test
-        run: ..\..\..\b2 --hash %ARGS% define=CI_SUPPRESS_KNOWN_ISSUES debug-symbols=off ${{ matrix.suite }}
+        run: ..\..\..\b2 --hash %ARGS% define=CI_SUPPRESS_KNOWN_ISSUES debug-symbols=off ${{ matrix.suite }} pch=off
         working-directory: ../boost-root/libs/math/test
   windows_gcc:
     runs-on: windows-2019
@@ -299,7 +300,7 @@ jobs:
         run: config_info_travis
         working-directory: ../boost-root/libs/config/test
       - name: Test
-        run: ..\..\..\b2 --hash %ARGS% define=CI_SUPPRESS_KNOWN_ISSUES ${{ matrix.suite }}
+        run: ..\..\..\b2 --hash %ARGS% define=CI_SUPPRESS_KNOWN_ISSUES ${{ matrix.suite }} pch=off
         working-directory: ../boost-root/libs/math/test
   cygwin:
     runs-on: windows-latest
@@ -364,7 +365,7 @@ jobs:
         if: steps.retry1.outcome=='failure'
         run: sudo apt-add-repository -y "ppa:ubuntu-toolchain-r/test"
       - name: Install packages
-        run: sudo apt install g++-10 libgmp-dev libmpfr-dev libfftw3-dev
+        run: sudo apt-get install -y g++-10 libgmp-dev libmpfr-dev libfftw3-dev
       - name: Checkout main boost
         run: git clone -b develop --depth 1 https://github.com/boostorg/boost.git ../boost-root
       - name: Update tools/boostdep
@@ -404,7 +405,7 @@ jobs:
         if: steps.retry1.outcome=='failure'
         run: sudo apt-add-repository -y "ppa:ubuntu-toolchain-r/test"
       - name: Install packages
-        run: sudo apt install clang-10 libgmp-dev libmpfr-dev libfftw3-dev
+        run: sudo apt-get install -y clang-10 libgmp-dev libmpfr-dev libfftw3-dev libtbb-dev
       - name: Checkout main boost
         run: git clone -b develop --depth 1 https://github.com/boostorg/boost.git ../boost-root
       - name: Update tools/boostdep
@@ -448,7 +449,7 @@ jobs:
         if: steps.retry1.outcome=='failure'
         run: sudo apt-add-repository -y "ppa:ubuntu-toolchain-r/test"
       - name: Install packages
-        run: sudo apt install g++-10 libgmp-dev libmpfr-dev libfftw3-dev
+        run: sudo apt-get install -y g++-10 libgmp-dev libmpfr-dev libfftw3-dev
       - name: Checkout main boost
         run: git clone -b develop --depth 1 https://github.com/boostorg/boost.git ../boost-root
       - name: Update tools/boostdep

README.md

@@ -2,8 +2,7 @@ Boost Math Library
 [![Build Status](https://drone.cpp.al/api/badges/boostorg/math/status.svg)](https://drone.cpp.al/boostorg/math)[![Build Status](https://github.com/boostorg/math/workflows/CI/badge.svg?branch=develop)](https://github.com/boostorg/math/actions)
 ==================
 
->ANNOUNCEMENT: Support for C++11 will be deprecated in this library starting in July 2023 (Boost 1.82).  
->New features will require *at least* C++14, as will existing features starting with the deprecation release.
+>ANNOUNCEMENT: This library now requires a compliant C++14 compiler.
 
 This library is divided into several interconnected parts:
 

doc/background/references.qbk

@@ -34,7 +34,7 @@ The Wolfram Research Documentation Center is a collection of online reference ma
 Statistical Distributions (Wiley Series in Probability & Statistics) (Paperback)
 by N.A.J. Hastings, Brian Peacock, Merran Evans, ISBN: 0471371246, Wiley 2000.
 
-[@http://www.worldscibooks.com/mathematics/p191.html Extreme Value Distributions, Theory and Applications]
+[@https://www.google.com/books/edition/Extreme_Value_Distributions/GwBqDQAAQBAJ?hl=en&gbpv=0 Extreme Value Distributions, Theory and Applications]
 Samuel Kotz & Saralees Nadarajah, ISBN 978-1-86094-224-2 & 1-86094-224-5 Oct 2000,
 Chapter 1.2 discusses the various extreme value distributions.
 

doc/distributions/exponential.qbk

@@ -93,7 +93,7 @@ In the following table [lambda] is the parameter lambda of the distribution,
 (See also the reference documentation for the related __extreme_distrib.)
 
 * 
-[@http://www.worldscibooks.com/mathematics/p191.html Extreme Value Distributions, Theory and Applications
+[@https://www.google.com/books/edition/Extreme_Value_Distributions/GwBqDQAAQBAJ?hl=en&gbpv=0 Extreme Value Distributions, Theory and Applications
 Samuel Kotz & Saralees Nadarajah]
 discuss the relationship of the types of extreme value distributions.
 

doc/distributions/extreme_value.qbk

@@ -38,7 +38,7 @@ websites.
 
 The relationship of the types of extreme value distributions, of which this is but one, is
 discussed by
-[@http://www.worldscibooks.com/mathematics/p191.html Extreme Value Distributions, Theory and Applications
+[@https://www.google.com/books/edition/Extreme_Value_Distributions/GwBqDQAAQBAJ?hl=en&gbpv=0 Extreme Value Distributions, Theory and Applications
 Samuel Kotz & Saralees Nadarajah].
 
 The distribution has a PDF given by:

doc/distributions/hypergeometric.qbk

@@ -15,11 +15,11 @@
       typedef RealType value_type;
       typedef Policy   policy_type;
       // Construct:
-      hypergeometric_distribution(unsigned r, unsigned n, unsigned N); // r=defective/failures/success, n=trials/draws, N=total population.
+      hypergeometric_distribution(uint64_t r, uint64_t n, uint64_t N); // r=defective/failures/success, n=trials/draws, N=total population.
       // Accessors:
-      unsigned total()const;
-      unsigned defective()const;
-      unsigned sample_count()const;
+      uint64_t total()const;
+      uint64_t defective()const;
+      uint64_t sample_count()const;
    };
 
    typedef hypergeometric_distribution<> hypergeometric;
@@ -56,20 +56,20 @@ then we obtain basically the same graphs:
 
 [h4 Member Functions]
 
-   hypergeometric_distribution(unsigned r, unsigned n, unsigned N);
+   hypergeometric_distribution(uint64_t r, uint64_t n, uint64_t N);
 
 Constructs a hypergeometric distribution with a population of /N/ objects,
 of which /r/ are defective, and from which /n/ are sampled.
 
-   unsigned total()const;
+   uint64_t total()const;
 
 Returns the total number of objects /N/.
 
-   unsigned defective()const;
+   uint64_t defective()const;
 
 Returns the number of objects /r/ in population /N/ which are defective.
 
-   unsigned sample_count()const;
+   uint64_t sample_count()const;
 
 Returns the number of objects /n/ which are sampled from the population /N/.
 
@@ -87,7 +87,7 @@ and Python
 All the [link math_toolkit.dist_ref.nmp usual non-member accessor functions]
 that are generic to all distributions are supported: __usual_accessors.
 
-The domain of the random variable is the unsigned integers in the range
+The domain of the random variable are the 64-bit unsigned integers in the range
 \[max(0, n + r - N), min(n, r)\].  A __domain_error is raised if the
 random variable is outside this range, or is not an integral value.
 

doc/distributions/triangular.qbk

@@ -38,7 +38,7 @@ The triangular distribution is often used where the distribution is only vaguely
 but, like the [@http://en.wikipedia.org/wiki/Uniform_distribution_%28continuous%29 uniform distribution],
 upper and limits are 'known', but a 'best guess', the mode or center point, is also added.
 It has been recommended as a
-[@http://www.worldscibooks.com/mathematics/etextbook/5720/5720_chap1.pdf proxy for the beta distribution.]
+[@https://www.jstor.org/stable/2988573 proxy for the beta distribution.]
 The distribution is used in business decision making and project planning.
 
 The [@http://en.wikipedia.org/wiki/Triangular_distribution triangular distribution]

doc/distributions/weibull.qbk

@@ -59,7 +59,7 @@ When ['[alpha]] = 1, the Weibull distribution reduces to the
 [@http://en.wikipedia.org/wiki/Exponential_distribution exponential distribution].
 The relationship of the types of extreme value distributions, of which the Weibull is but one, is
 discussed by
-[@http://www.worldscibooks.com/mathematics/p191.html Extreme Value Distributions, Theory and Applications
+[@https://www.google.com/books/edition/Extreme_Value_Distributions/GwBqDQAAQBAJ?hl=en&gbpv=0 Extreme Value Distributions, Theory and Applications
 Samuel Kotz & Saralees Nadarajah].