diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index b672eef..d8f4fa8 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -2,63 +2,89 @@ name: C++ CI on: push: - branches: [ main ] + branches: [main] pull_request: - branches: [ main ] + branches: [main] + +env: + VCPKG_ROOT: ${{ github.workspace }}/vcpkg + CMAKE_BUILD_TYPE: Release + BUILD_DIR: build + VCPKG_TRIPLET: x64-linux jobs: build-and-test: + name: Build and Test runs-on: ubuntu-latest steps: - - uses: actions/checkout@v2 - - - name: Install dependencies - run: | - sudo apt-get update - sudo apt-get install -y cmake g++ make - - - name: Build - run: | - mkdir build && cd build - cmake .. - make - - - name: Run tests - run: | - cd build - ctest --output-on-failure - - lint: - runs-on: ubuntu-latest - - steps: - - uses: actions/checkout@v2 + - name: Show C++ version + run: | + /usr/bin/c++ --version - - name: Install clang-format - run: sudo apt-get install -y clang-format + # Checkout the repository + - name: Checkout Repository + uses: actions/checkout@v3 - - name: Run clang-format - run: | - find src tests -name '*.cpp' -o -name '*.h' | xargs clang-format -i --style=file - git diff --exit-code + # Install latest CMake and Ninja + - name: Install CMake and Ninja + uses: lukka/get-cmake@latest - clang-tidy: - runs-on: ubuntu-latest + # Set up vcpkg using lukka/get-vcpkg action + - name: Setup vcpkg + uses: + lukka/run-vcpkg@v11 - steps: - - uses: actions/checkout@v2 + # Run CMake to generate Ninja project files, using the vcpkg's toolchain file to resolve and install + # the dependencies as specified in vcpkg.json. Note that the vcpkg's toolchain is specified + # in the CMakePresets.json file. + # This step also runs vcpkg with Binary Caching leveraging GitHub Action cache to + # store the built packages artifacts. + - name: Restore from cache the dependencies and generate project files + run: | + cmake --preset ninja-multi-vcpkg-ci - - name: Install dependencies - run: | - sudo apt-get update - sudo apt-get install -y cmake g++ make clang-tidy + # Build (Release configuration only) the whole project with Ninja (which is spawn by CMake). + # + # Note: if the preset misses the "configuration", it is possible to explicitly select the + # configuration with the `--config` flag, e.g.: + # run: cmake --build --preset ninja-vcpkg --config Release + - name: Build (Release configuration) + run: | + cmake --build --preset ninja-vcpkg-release-ci - - name: Generate compile_commands.json - run: | - mkdir build && cd build - cmake -DCMAKE_EXPORT_COMPILE_COMMANDS=ON .. + # Test the whole project with CTest, again Release configuration only. + - name: Test (Release configuration) + run: | + ctest --preset test-release-ci - - name: Run clang-tidy - run: | - find src tests -name '*.cpp' -o -name '*.h' | xargs clang-tidy -p build \ No newline at end of file + # - name: Install clang-tidy + # run: sudo apt-get update && sudo apt-get install -y clang-tidy + # + # # Run clang-tidy on all source and header files + # - name: Run clang-tidy + # run: | + # find src tests -type f \( -name '*.cpp' -o -name '*.h' \) -print0 | xargs -0 clang-tidy -p build + # + # + # format: + # name: Code Formatting + # runs-on: ubuntu-latest + # + # steps: + # # 1. Checkout the repository + # - name: Checkout Repository + # uses: actions/checkout@v3 + # + # # 2. Install clang-format + # - name: Install clang-format + # run: sudo apt-get update && sudo apt-get install -y clang-format + # + # # 3. Run clang-format on source and header files + # - name: Run clang-format + # run: | + # find src tests -type f \( -name '*.cpp' -o -name '*.h' \) -print0 | xargs -0 clang-format -i --style=file + # # Check for formatting changes + # git diff --exit-code + # + # diff --git a/CMakeLists.txt b/CMakeLists.txt index c47def8..0351864 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -10,7 +10,7 @@ endif() project(malasim) # Set C++ standard -set(CMAKE_CXX_STANDARD 17) +set(CMAKE_CXX_STANDARD 20) set(CMAKE_CXX_STANDARD_REQUIRED True) set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin) set(CMAKE_EXPORT_COMPILE_COMMANDS ON) diff --git a/CMakePresets.json b/CMakePresets.json new file mode 100644 index 0000000..eb02897 --- /dev/null +++ b/CMakePresets.json @@ -0,0 +1,116 @@ +{ + "version": 8, + "cmakeMinimumRequired": { + "major": 3, + "minor": 21, + "patch": 0 + }, + "configurePresets": [ + { + "name": "ninja-multi-vcpkg-ci", + "displayName": "Ninja Multi-Config", + "description": "Configure with vcpkg toolchain and generate Ninja project files for all configurations", + "binaryDir": "${sourceDir}/build/${presetName}", + "generator": "Ninja Multi-Config", + "toolchainFile": "${sourceDir}/vcpkg/scripts/buildsystems/vcpkg.cmake", + "cacheVariables": { + "CMAKE_BUILD_TYPE": "Release", + "CMAKE_TOOLCHAIN_FILE": "${env.VCPKG_ROOT}/scripts/buildsystems/vcpkg.cmake", + "CMAKE_EXPORT_COMPILE_COMMANDS": "ON", + "CMAKE_CXX_STANDARD": "20", + "CMAKE_CXX_STANDARD_REQUIRED": "ON", + "CMAKE_CXX_EXTENSIONS": "OFF" + } + }, + { + "name": "ninja-multi-vcpkg-local", + "displayName": "Ninja Multi-Config Local", + "description": "Configure with vcpkg toolchain and generate Ninja project files for all configurations", + "binaryDir": "${sourceDir}/build/${presetName}", + "generator": "Ninja Multi-Config", + "toolchainFile": "$env{VCPKG_ROOT}/scripts/buildsystems/vcpkg.cmake" + } + ], + "buildPresets": [ + { + "name": "ninja-vcpkg-debug-ci", + "configurePreset": "ninja-multi-vcpkg-ci", + "displayName": "Build (Debug)", + "description": "Build with Ninja/vcpkg (Debug)", + "configuration": "Debug" + }, + { + "name": "ninja-vcpkg-release-ci", + "configurePreset": "ninja-multi-vcpkg-ci", + "displayName": "Build (Release)", + "description": "Build with Ninja/vcpkg (Release)", + "configuration": "Release" + }, + { + "name": "ninja-vcpkg-ci", + "configurePreset": "ninja-multi-vcpkg-ci", + "displayName": "Build", + "description": "Build with Ninja/vcpkg" + }, + { + "name": "ninja-vcpkg-debug-local", + "configurePreset": "ninja-multi-vcpkg-local", + "displayName": "Build (Debug)", + "description": "Build with Ninja/vcpkg (Debug)", + "configuration": "Debug" + }, + { + "name": "ninja-vcpkg-release-local", + "configurePreset": "ninja-multi-vcpkg-local", + "displayName": "Build (Release)", + "description": "Build with Ninja/vcpkg (Release)", + "configuration": "Release" + }, + { + "name": "ninja-vcpkg-local", + "configurePreset": "ninja-multi-vcpkg-local", + "displayName": "Build", + "description": "Build with Ninja/vcpkg" + } + ], + "testPresets": [ + { + "name": "test-ninja-vcpkg-ci", + "configurePreset": "ninja-multi-vcpkg-ci", + "hidden": true + }, + { + "name": "test-debug-ci", + "description": "Test (Debug)", + "displayName": "Test (Debug)", + "configuration": "Debug", + "inherits": ["test-ninja-vcpkg-ci"] + }, + { + "name": "test-release-ci", + "description": "Test (Release)", + "displayName": "Test (Release)", + "configuration": "Release", + "inherits": ["test-ninja-vcpkg-ci"] + }, + { + "name": "test-ninja-vcpkg-local", + "configurePreset": "ninja-multi-vcpkg-local", + "hidden": true + }, + { + "name": "test-debug-local", + "description": "Test (Debug)", + "displayName": "Test (Debug)", + "configuration": "Debug", + "inherits": ["test-ninja-vcpkg-local"] + }, + { + "name": "test-release-local", + "description": "Test (Release)", + "displayName": "Test (Release)", + "configuration": "Release", + "inherits": ["test-ninja-vcpkg-local"] + } + ] +} diff --git a/docs/Doxygen/html/_random_8cpp.html b/docs/Doxygen/html/_random_8cpp.html index 8302503..b5a6a50 100644 --- a/docs/Doxygen/html/_random_8cpp.html +++ b/docs/Doxygen/html/_random_8cpp.html @@ -96,7 +96,9 @@ #include <gsl/gsl_cdf.h>
#include <gsl/gsl_randist.h>
#include <cmath>
+#include <cstdint>
#include <random>
+#include <stdexcept>
diff --git a/docs/Doxygen/html/_random_8h.html b/docs/Doxygen/html/_random_8h.html index 43c96d1..84d9a29 100644 --- a/docs/Doxygen/html/_random_8h.html +++ b/docs/Doxygen/html/_random_8h.html @@ -93,7 +93,8 @@
Random.h File Reference
-
#include <gsl/gsl_rng.h>
+
#include <gsl/gsl_randist.h>
+#include <gsl/gsl_rng.h>
#include <cstddef>
#include <cstdint>
#include <memory>
diff --git a/docs/Doxygen/html/_random_8h_source.html b/docs/Doxygen/html/_random_8h_source.html index 1799d83..908361b 100644 --- a/docs/Doxygen/html/_random_8h_source.html +++ b/docs/Doxygen/html/_random_8h_source.html @@ -96,113 +96,185 @@
3#ifndef RANDOM_H
4#define RANDOM_H
5
-
6#include <gsl/gsl_rng.h>
-
7
-
8#include <cstddef>
-
9#include <cstdint>
-
10#include <memory>
-
11
-
-
21class Random {
-
22public:
-
23 // Delete copy constructor and copy assignment operator
-
24 Random(const Random &) = delete;
-
25 Random &operator=(const Random &) = delete;
-
26
-
27 // Delete move constructor and move assignment operator
-
28 Random(Random &&) = delete;
-
29 Random &operator=(Random &&) = delete;
-
30
-
39 explicit Random(gsl_rng* external_rng = nullptr);
-
40
-
46 ~Random();
-
47
-
53 [[nodiscard]] uint64_t get_seed() const noexcept;
-
54
-
60 void set_seed(uint64_t new_seed);
-
61
-
62 // Random number generation methods
-
63
-
72 int random_poisson(double mean);
-
73
-
82 uint64_t random_uniform(uint64_t upper_bound);
-
83
-
94 uint64_t random_uniform(uint64_t lower_bound, uint64_t upper_bound);
-
95
-
106 double random_uniform(double from, double to);
-
107
-
115 double random_uniform();
-
116
-
128 double random_normal(double mean, double standard_deviation);
-
129
-
141 double random_normal_truncated(double mean, double standard_deviation);
-
142
-
154 int random_normal(int mean, int standard_deviation);
-
155
-
167 int random_normal_truncated(int mean, int standard_deviation);
-
168
-
178 double random_beta(double alpha, double beta);
-
179
-
189 double random_gamma(double shape, double scale);
-
190
-
201 double cdf_gamma_distribution(double value, double alpha, double beta);
-
202
-
214 double cdf_gamma_distribution_inverse(double probability, double alpha,
-
215 double beta);
-
216
-
226 double random_flat(double from, double to);
-
227
-
240 void random_multinomial(std::size_t categories, unsigned trials,
-
241 const double* probabilities, unsigned* results);
-
242
-
251 double cdf_standard_normal_distribution(double value);
-
252
-
262 unsigned int random_binomial(double probability, unsigned int trials);
-
263
-
273 void shuffle(void* array, std::size_t element_count,
-
274 std::size_t element_size) const;
-
275
-
276private:
-
277 uint64_t seed_;
-
278 static constexpr double TRUNCATION_LIMIT = 3.0;
-
279
-
280 // Custom deleter for gsl_rng
-
281 struct GslRngDeleter {
-
282 void operator()(gsl_rng* rng) const {
-
283 if (rng != nullptr) { gsl_rng_free(rng); }
-
284 }
-
285 };
-
286
-
287 // Unique pointer managing gsl_rng with custom deleter
-
288 std::unique_ptr<gsl_rng, GslRngDeleter> rng_;
-
289
-
300 void initialize(uint64_t initial_seed = 0);
-
301};
+
6#include <gsl/gsl_randist.h>
+
7#include <gsl/gsl_rng.h>
+
8
+
9#include <cstddef>
+
10#include <cstdint>
+
11#include <memory>
+
12
+
+
22class Random {
+
23public:
+
24 // Delete copy constructor and copy assignment operator
+
25 Random(const Random &) = delete;
+
26 Random &operator=(const Random &) = delete;
+
27
+
28 // Delete move constructor and move assignment operator
+
29 Random(Random &&) = delete;
+
30 Random &operator=(Random &&) = delete;
+
31
+
40 explicit Random(gsl_rng* external_rng = nullptr, uint64_t seed = 0);
+
41
+
47 ~Random();
+
48
+
54 [[nodiscard]] uint64_t get_seed() const noexcept;
+
55
+
61 void set_seed(uint64_t new_seed);
+
62
+
63 // Random number generation methods
+
64
+
73 int random_poisson(double mean);
+
74
+
83 uint64_t random_uniform(uint64_t upper_bound);
+
84
+
92 double random_uniform();
+
93
+
118 template <typename T>
+
+
119 T random_uniform(T from, T to) {
+
120 static_assert(std::is_arithmetic<T>::value,
+
121 "Template parameter T must be numeric.");
+
122
+
123 if (!rng_) {
+
124 throw std::runtime_error("Random number generator not initialized.");
+
125 }
+
126
+
127 if (from >= to) {
+
128 throw std::invalid_argument("Parameter 'from' must be less than 'to'.");
+
129 }
+
130
+
131 if constexpr (std::is_integral<T>::value) {
+
132 // gsl_rng_uniform_int takes an unsigned long as upper bound
+
133 // Ensure that (to - from) does not exceed the maximum value of unsigned
+
134 // long
+
135 unsigned long range = static_cast<unsigned long>(to - from);
+
136 // Note: gsl_rng_uniform_int handles range values up to the maximum of
+
137 // unsigned long
+
138 unsigned long value = gsl_rng_uniform_int(rng_.get(), range);
+
139 return static_cast<T>(from + value);
+
140 } else {
+
141 double value = gsl_ran_flat(rng_.get(), static_cast<double>(from),
+
142 static_cast<double>(to));
+
143 return static_cast<T>(value);
+
144 }
+
145 }
+
146
+
159 template <typename T>
+
+
160 T random_normal(T mean, double standard_deviation) {
+
161 static_assert(std::is_arithmetic<T>::value,
+
162 "Template parameter T must be numeric.");
+
163
+
164 if (!rng_) {
+
165 throw std::runtime_error("Random number generator not initialized.");
+
166 }
+
167
+
168 double value = mean + gsl_ran_gaussian(rng_.get(), standard_deviation);
+
169
+
170 if constexpr (std::is_integral<T>::value) {
+
171 return static_cast<T>(std::round(value));
+
172 } else {
+
173 return static_cast<T>(value);
+
174 }
+
175 }
+
+
176
+
189 double random_normal_truncated(double mean, double standard_deviation,
+
190 double truncation_limit = 3.0);
+
191
+
204 int random_normal_truncated(int mean, int standard_deviation,
+
205 double truncation_limit = 3.0);
+
206
+
229 template <typename T>
+
+
230 T random_normal_truncated(T mean, double standard_deviation,
+
231 double truncation_limit = 3.0, // NOLINT
+
232 int max_attempts = 1000) {
+
233 static_assert(std::is_arithmetic<T>::value,
+
234 "Template parameter T must be numeric.");
+
235 if (!rng_) {
+
236 throw std::runtime_error("Random number generator not initialized.");
+
237 }
+
238 double value = gsl_ran_gaussian(rng_.get(), standard_deviation);
+
239 int attempts = 0;
+
240 while (std::abs(value) > truncation_limit * standard_deviation) {
+
241 if (attempts++ >= max_attempts) {
+
242 throw std::runtime_error(
+
243 "Failed to generate a truncated normal value within the maximum "
+
244 "number of attempts.");
+
245 }
+
246 value = gsl_ran_gaussian(rng_.get(), standard_deviation);
+
247 }
+
248 if constexpr (std::is_integral<T>::value) {
+
249 return static_cast<T>(mean + std::round(value));
+
250 } else {
+
251 return static_cast<T>(mean + value);
+
252 }
+
253 }
+
+
254
+
264 double random_beta(double alpha, double beta);
+
265
+
275 double random_gamma(double shape, double scale);
+
276
+
287 double cdf_gamma_distribution(double value, double alpha, double beta);
+
288
+
300 double cdf_gamma_distribution_inverse(double probability, double alpha,
+
301 double beta);
302
-
303#endif // RANDOM_H
-
304
-
Random
Encapsulates random number generation functionalities using GSL.
Definition Random.h:21
-
Random::cdf_gamma_distribution_inverse
double cdf_gamma_distribution_inverse(double probability, double alpha, double beta)
Computes the inverse CDF (quantile function) of the Gamma distribution.
Definition Random.cpp:188
-
Random::get_seed
uint64_t get_seed() const noexcept
Retrieves the current RNG seed.
Definition Random.cpp:51
-
Random::random_multinomial
void random_multinomial(std::size_t categories, unsigned trials, const double *probabilities, unsigned *results)
Generates multinomial random variables.
Definition Random.cpp:204
+
315 void random_multinomial(std::size_t categories, unsigned trials,
+
316 const double* probabilities, unsigned* results);
+
317
+
326 double cdf_standard_normal_distribution(double value);
+
327
+
337 unsigned int random_binomial(double probability, unsigned int trials);
+
338
+
348 void shuffle(void* array, std::size_t element_count,
+
349 std::size_t element_size) const;
+
350
+
351private:
+
352 uint64_t seed_;
+
353
+
354 // Custom deleter for gsl_rng
+
355 struct GslRngDeleter {
+
356 void operator()(gsl_rng* rng) const {
+
357 if (rng != nullptr) { gsl_rng_free(rng); }
+
358 }
+
359 };
+
360
+
361 // Unique pointer managing gsl_rng with custom deleter
+
362 std::unique_ptr<gsl_rng, GslRngDeleter> rng_;
+
363
+
374 void initialize(uint64_t initial_seed = 0);
+
375};
+
+
376
+
377#endif // RANDOM_H
+
378
+
Random
Encapsulates random number generation functionalities using GSL.
Definition Random.h:22
+
Random::random_normal
T random_normal(T mean, double standard_deviation)
Generates a normally distributed random number with given mean and standard deviation.
Definition Random.h:160
+
Random::cdf_gamma_distribution_inverse
double cdf_gamma_distribution_inverse(double probability, double alpha, double beta)
Computes the inverse CDF (quantile function) of the Gamma distribution.
Definition Random.cpp:117
+
Random::get_seed
uint64_t get_seed() const noexcept
Retrieves the current RNG seed.
Definition Random.cpp:53
+
Random::random_multinomial
void random_multinomial(std::size_t categories, unsigned trials, const double *probabilities, unsigned *results)
Generates multinomial random variables.
Definition Random.cpp:127
Random::Random
Random(Random &&)=delete
-
Random::random_uniform
double random_uniform()
Generates a uniform random double in [0, 1).
Definition Random.cpp:99
+
Random::random_uniform
double random_uniform()
Generates a uniform random double in [0, 1).
Definition Random.cpp:78
Random::operator=
Random & operator=(const Random &)=delete
-
Random::cdf_gamma_distribution
double cdf_gamma_distribution(double value, double alpha, double beta)
Computes the CDF of the Gamma distribution.
Definition Random.cpp:175
-
Random::random_beta
double random_beta(double alpha, double beta)
Generates a Beta-distributed random double.
Definition Random.cpp:157
-
Random::random_gamma
double random_gamma(double shape, double scale)
Generates a Gamma-distributed random double.
Definition Random.cpp:166
-
Random::random_poisson
int random_poisson(double mean)
Generates a Poisson-distributed random number.
Definition Random.cpp:60
+
Random::random_normal_truncated
T random_normal_truncated(T mean, double standard_deviation, double truncation_limit=3.0, int max_attempts=1000)
Generates a truncated normally distributed random number within a specified number of standard deviat...
Definition Random.h:230
+
Random::cdf_gamma_distribution
double cdf_gamma_distribution(double value, double alpha, double beta)
Computes the CDF of the Gamma distribution.
Definition Random.cpp:104
+
Random::random_beta
double random_beta(double alpha, double beta)
Generates a Beta-distributed random double.
Definition Random.cpp:86
+
Random::random_gamma
double random_gamma(double shape, double scale)
Generates a Gamma-distributed random double.
Definition Random.cpp:95
+
Random::random_poisson
int random_poisson(double mean)
Generates a Poisson-distributed random number.
Definition Random.cpp:62
Random::Random
Random(const Random &)=delete
-
Random::cdf_standard_normal_distribution
double cdf_standard_normal_distribution(double value)
Computes the CDF of the standard normal distribution.
Definition Random.cpp:223
-
Random::random_normal_truncated
double random_normal_truncated(double mean, double standard_deviation)
Generates a truncated normally distributed random double within ±3 standard deviations.
Definition Random.cpp:129
-
Random::set_seed
void set_seed(uint64_t new_seed)
Sets a new seed for the RNG.
Definition Random.cpp:54
+
Random::cdf_standard_normal_distribution
double cdf_standard_normal_distribution(double value)
Computes the CDF of the standard normal distribution.
Definition Random.cpp:146
+
Random::set_seed
void set_seed(uint64_t new_seed)
Sets a new seed for the RNG.
Definition Random.cpp:56
Random::~Random
~Random()
Destructor.
Random::operator=
Random & operator=(Random &&)=delete
-
Random::random_binomial
unsigned int random_binomial(double probability, unsigned int trials)
Generates a binomially distributed random integer.
Definition Random.cpp:231
-
Random::random_flat
double random_flat(double from, double to)
Generates a flat-distributed random double in [from, to).
Definition Random.cpp:197
-
Random::random_normal
double random_normal(double mean, double standard_deviation)
Generates a normally distributed random double with given mean and standard deviation.
Definition Random.cpp:108
-
Random::shuffle
void shuffle(void *array, std::size_t element_count, std::size_t element_size) const
Shuffles elements in an array using the current random generator.
Definition Random.cpp:242
+
Random::random_binomial
unsigned int random_binomial(double probability, unsigned int trials)
Generates a binomially distributed random integer.
Definition Random.cpp:154
+
Random::random_normal_truncated
int random_normal_truncated(int mean, int standard_deviation, double truncation_limit=3.0)
Generates a truncated normally distributed random integer within ±3 standard deviations.
+
Random::random_normal_truncated
double random_normal_truncated(double mean, double standard_deviation, double truncation_limit=3.0)
Generates a truncated normally distributed random double within ±3 standard deviations.
+
Random::shuffle
void shuffle(void *array, std::size_t element_count, std::size_t element_size) const
Shuffles elements in an array using the current random generator.
Definition Random.cpp:165
diff --git a/docs/Doxygen/html/class_random-members.html b/docs/Doxygen/html/class_random-members.html index 3cfbefe..9e859e9 100644 --- a/docs/Doxygen/html/class_random-members.html +++ b/docs/Doxygen/html/class_random-members.html @@ -98,21 +98,19 @@ operator=(Random &&)=deleteRandom Random(const Random &)=deleteRandom Random(Random &&)=deleteRandom - Random(gsl_rng *external_rng=nullptr)Randomexplicit + Random(gsl_rng *external_rng=nullptr, uint64_t seed=0)Randomexplicit random_beta(double alpha, double beta)Random random_binomial(double probability, unsigned int trials)Random - random_flat(double from, double to)Random - random_gamma(double shape, double scale)Random - random_multinomial(std::size_t categories, unsigned trials, const double *probabilities, unsigned *results)Random - random_normal(double mean, double standard_deviation)Random - random_normal(int mean, int standard_deviation)Random - random_normal_truncated(double mean, double standard_deviation)Random - random_normal_truncated(int mean, int standard_deviation)Random - random_poisson(double mean)Random - random_uniform(uint64_t upper_bound)Random - random_uniform(uint64_t lower_bound, uint64_t upper_bound)Random - random_uniform(double from, double to)Random - random_uniform()Random + random_gamma(double shape, double scale)Random + random_multinomial(std::size_t categories, unsigned trials, const double *probabilities, unsigned *results)Random + random_normal(T mean, double standard_deviation)Randominline + random_normal_truncated(double mean, double standard_deviation, double truncation_limit=3.0)Random + random_normal_truncated(int mean, int standard_deviation, double truncation_limit=3.0)Random + random_normal_truncated(T mean, double standard_deviation, double truncation_limit=3.0, int max_attempts=1000)Randominline + random_poisson(double mean)Random + random_uniform(uint64_t upper_bound)Random + random_uniform()Random + random_uniform(T from, T to)Randominline set_seed(uint64_t new_seed)Random shuffle(void *array, std::size_t element_count, std::size_t element_size) constRandom ~Random()Random diff --git a/docs/Doxygen/html/class_random.html b/docs/Doxygen/html/class_random.html index 7e5953a..96abb4f 100644 --- a/docs/Doxygen/html/class_random.html +++ b/docs/Doxygen/html/class_random.html @@ -106,9 +106,9 @@   Random & operator= (Random &&)=delete   - Random (gsl_rng *external_rng=nullptr) - Constructs a Random number generator.
-  + Random (gsl_rng *external_rng=nullptr, uint64_t seed=0) + Constructs a Random number generator.
+   ~Random ()  Destructor.
  @@ -124,27 +124,27 @@ uint64_t random_uniform (uint64_t upper_bound)  Generates a uniform random integer in [0, upper_bound).
  -uint64_t random_uniform (uint64_t lower_bound, uint64_t upper_bound) - Generates a uniform random integer in [lower_bound, upper_bound).
-  -double random_uniform (double from, double to) - Generates a uniform random double in [from, to).
-  double random_uniform ()  Generates a uniform random double in [0, 1).
  -double random_normal (double mean, double standard_deviation) - Generates a normally distributed random double with given mean and standard deviation.
-  -double random_normal_truncated (double mean, double standard_deviation) - Generates a truncated normally distributed random double within ±3 standard deviations.
-  -int random_normal (int mean, int standard_deviation) - Generates a normally distributed random integer with given mean and standard deviation.
-  -int random_normal_truncated (int mean, int standard_deviation) - Generates a truncated normally distributed random integer within ±3 standard deviations.
-  +template<typename T > +T random_uniform (T from, T to) + Generates a uniformly distributed random number within a specified range.
+  +template<typename T > +T random_normal (T mean, double standard_deviation) + Generates a normally distributed random number with given mean and standard deviation.
+  +double random_normal_truncated (double mean, double standard_deviation, double truncation_limit=3.0) + Generates a truncated normally distributed random double within ±3 standard deviations.
+  +int random_normal_truncated (int mean, int standard_deviation, double truncation_limit=3.0) + Generates a truncated normally distributed random integer within ±3 standard deviations.
+  +template<typename T > +T random_normal_truncated (T mean, double standard_deviation, double truncation_limit=3.0, int max_attempts=1000) + Generates a truncated normally distributed random number within a specified number of standard deviations.
+  double random_beta (double alpha, double beta)  Generates a Beta-distributed random double.
  @@ -157,9 +157,6 @@ double cdf_gamma_distribution_inverse (double probability, double alpha, double beta)  Computes the inverse CDF (quantile function) of the Gamma distribution.
  -double random_flat (double from, double to) - Generates a flat-distributed random double in [from, to).
-  void random_multinomial (std::size_t categories, unsigned trials, const double *probabilities, unsigned *results)  Generates multinomial random variables.
  @@ -227,8 +224,8 @@

-

◆ Random() [3/3]

+ +

◆ Random() [3/3]

@@ -239,8 +236,12 @@

Random::Random ( - gsl_rng * external_rng = nullptr) + gsl_rng * external_rng = nullptr, + + + + uint64_t seed = 0 ) @@ -558,38 +559,6 @@

-

◆ random_flat()

- -
-
- - - - - - - - - - - -
double Random::random_flat (double from,
double to )
-
- -

Generates a flat-distributed random double in [from, to).

-

This is identical to random_uniform_double.

-
Parameters
- - - -
fromThe inclusive lower bound.
toThe exclusive upper bound.
-
-
-
Returns
double A flat-distributed random double.
-
@@ -678,16 +647,21 @@

-

◆ random_normal() [1/2]

+ +

◆ random_normal()

+
+template<typename T >
+ + + + + +
- + - + @@ -695,9 +669,20 @@

double

double Random::random_normal T Random::random_normal (double mean, T mean,
standard_deviation )
+ 		+inline
-

Generates a normally distributed random double with given mean and standard deviation.

+

Generates a normally distributed random number with given mean and standard deviation.

+
Template Parameters
+ + +
TThe return type, typically double or int.
+
+
Parameters
@@ -705,7 +690,7 @@

Returns
double A random number following the normal distribution.
+
Returns
T A random number following the normal distribution.
Exceptions

meanThe mean of the normal distribution.
@@ -715,34 +700,40 @@

-

◆ random_normal() [2/2]

+ +

◆ random_normal_truncated() [1/3]

std::runtime_errorIf RNG is not initialized.
- + - + - + + + + + +
int Random::random_normal double Random::random_normal_truncated (int mean, double mean,
int standard_deviation )double standard_deviation,
double truncation_limit = 3.0 )
-

Generates a normally distributed random integer with given mean and standard deviation.

+

Generates a truncated normally distributed random double within ±3 standard deviations.

Parameters
+
meanThe mean of the normal distribution.
standard_deviationThe standard deviation of the normal distribution.
truncation_limitThe number of standard deviations to truncate.
-
Returns
int A random integer following the normal distribution.
+
Returns
double A truncated normally distributed random double.
Exceptions
@@ -752,34 +743,40 @@

-

◆ random_normal_truncated() [1/2]

+ +

◆ random_normal_truncated() [2/3]

std::runtime_errorIf RNG is not initialized.
- + - + - + + + + + +
double Random::random_normal_truncated int Random::random_normal_truncated (double mean, int mean,
double standard_deviation )int standard_deviation,
double truncation_limit = 3.0 )
-

Generates a truncated normally distributed random double within ±3 standard deviations.

+

Generates a truncated normally distributed random integer within ±3 standard deviations.

Parameters
+
meanThe mean of the normal distribution.
standard_deviationThe standard deviation of the normal distribution.
truncation_limitThe number of standard deviations to truncate.
-
Returns
double A truncated normally distributed random double.
+
Returns
int A truncated normally distributed random integer.
Exceptions
@@ -789,37 +786,66 @@

-

◆ random_normal_truncated() [2/2]

+ +

◆ random_normal_truncated() [3/3]

+
+template<typename T >
+

std::runtime_errorIf RNG is not initialized.
+ + + + +
- + - + + + + + + - + + + + + +
int Random::random_normal_truncated T Random::random_normal_truncated (int mean, T mean,
double standard_deviation,
int standard_deviation )double truncation_limit = 3.0,
int max_attempts = 1000 )
+ 		+inline
-

Generates a truncated normally distributed random integer within ±3 standard deviations.

+

Generates a truncated normally distributed random number within a specified number of standard deviations.

+

The function repeatedly generates normally distributed random numbers until one falls within the range [mean - truncation_limit * standard_deviation, mean + truncation_limit * standard_deviation]. To prevent potential infinite loops, a maximum number of attempts is enforced.

+
Template Parameters
+ + +
TThe return type, typically double or int.
+
+
Parameters
+ +
meanThe mean of the normal distribution.
standard_deviationThe standard deviation of the normal distribution.
truncation_limitThe number of standard deviations to truncate (default is 3.0).
max_attemptsThe maximum number of attempts to generate a valid truncated value (default is 1000).
-
Returns
int A truncated normally distributed random integer.
+
Returns
T A truncated normally distributed random number.
Exceptions
- +
std::runtime_errorIf RNG is not initialized.
std::runtime_errorIf RNG is not initialized or if a valid truncated value cannot be generated within the maximum attempts.
@@ -859,7 +885,7 @@

-

◆ random_uniform() [1/4]

+

◆ random_uniform() [1/3]

@@ -884,84 +910,64 @@

-

◆ random_uniform() [2/4]

+ +

◆ random_uniform() [2/3]

+
+template<typename T >
+ + + + + +
- + - + - +
double Random::random_uniform T Random::random_uniform (double from, T from,
double to )T to )
+ 		+inline
-

Generates a uniform random double in [from, to).

-
Parameters
- - - +

Generates a uniformly distributed random number within a specified range.

+

This function returns a random number of type T that is uniformly distributed between the specified from and to values. The range is inclusive of from and exclusive of to. It supports both integral and floating-point types.

+
Template Parameters
+
fromThe inclusive lower bound.
toThe exclusive upper bound.
+
TThe numeric type of the random number to generate. Must be an arithmetic type.
-
Returns
double A uniformly distributed random double.
-
Exceptions
- - - -
std::invalid_argumentIf from is not less than to.
std::runtime_errorIf RNG is not initialized.
-
-
- -
-
- -

◆ random_uniform() [3/4]

- -
-
- - - - - - - - - - - -
uint64_t Random::random_uniform (uint64_t lower_bound,
uint64_t upper_bound )
-
- -

Generates a uniform random integer in [lower_bound, upper_bound).

Parameters
- - + +
lower_boundThe inclusive lower bound.
upper_boundThe exclusive upper bound.
fromThe lower bound of the range. Must be less than to.
toThe upper bound of the range. Must be greater than from.
-
Returns
uint64_t A uniformly distributed random integer.
+
Returns
A random number of type T uniformly distributed in [from, to).
Exceptions
- - + +
std::invalid_argumentIf lower_bound is not less than upper_bound.
std::runtime_errorIf RNG is not initialized.
std::runtime_errorIf the random number generator is not initialized.
std::invalid_argumentIf from is not less than to.
+
Note
Ensure that the random number generator (rng_) is properly initialized before invoking this function.
-

◆ random_uniform() [4/4]

+

◆ random_uniform() [3/3]

diff --git a/docs/Doxygen/html/doxygen_crawl.html b/docs/Doxygen/html/doxygen_crawl.html index c44f6f2..ef79410 100644 --- a/docs/Doxygen/html/doxygen_crawl.html +++ b/docs/Doxygen/html/doxygen_crawl.html @@ -113,31 +113,29 @@ + - - - + - - - - - + + + + @@ -191,6 +189,12 @@ + + + + + + diff --git a/docs/Doxygen/html/example_8h_source.html b/docs/Doxygen/html/example_8h_source.html index 591f497..a7a2817 100644 --- a/docs/Doxygen/html/example_8h_source.html +++ b/docs/Doxygen/html/example_8h_source.html @@ -96,7 +96,7 @@
3
4int add(int a, int b);
5
-
6#endif // EXAMPLE_H
+
6#endif // EXAMPLE_H
add
int add(int a, int b)
Definition example.cpp:3
diff --git a/docs/Doxygen/html/functions.html b/docs/Doxygen/html/functions.html index 1374962..480f1df 100644 --- a/docs/Doxygen/html/functions.html +++ b/docs/Doxygen/html/functions.html @@ -93,11 +93,10 @@
  • Random() : Random
  • random_beta() : Random
  • random_binomial() : Random
    • -
  • random_flat() : Random
  • random_gamma() : Random
  • random_multinomial() : Random
    • -
  • random_normal() : Random
    • -
  • random_normal_truncated() : Random
    • +
  • random_normal() : Random
    • +
  • random_normal_truncated() : Random
  • random_poisson() : Random
  • random_uniform() : Random
  • set_seed() : Random
    • diff --git a/docs/Doxygen/html/functions_func.html b/docs/Doxygen/html/functions_func.html index bbc2d26..3d60e11 100644 --- a/docs/Doxygen/html/functions_func.html +++ b/docs/Doxygen/html/functions_func.html @@ -93,11 +93,10 @@
  • Random() : Random
  • random_beta() : Random
  • random_binomial() : Random
    • -
  • random_flat() : Random
  • random_gamma() : Random
  • random_multinomial() : Random
    • -
  • random_normal() : Random
    • -
  • random_normal_truncated() : Random
    • +
  • random_normal() : Random
    • +
  • random_normal_truncated() : Random
  • random_poisson() : Random
  • random_uniform() : Random
  • set_seed() : Random
    • diff --git a/docs/Doxygen/html/md_src_2_core_2_r_e_a_d_m_e.html b/docs/Doxygen/html/md_src_2_core_2_r_e_a_d_m_e.html index 0615f12..b751ccf 100644 --- a/docs/Doxygen/html/md_src_2_core_2_r_e_a_d_m_e.html +++ b/docs/Doxygen/html/md_src_2_core_2_r_e_a_d_m_e.html @@ -87,7 +87,7 @@
    Core

    -

    +

    diff --git a/docs/Doxygen/html/md_src_2_core_2_random_2_r_e_a_d_m_e.html b/docs/Doxygen/html/md_src_2_core_2_random_2_r_e_a_d_m_e.html index 27a1ef5..c87919c 100644 --- a/docs/Doxygen/html/md_src_2_core_2_random_2_r_e_a_d_m_e.html +++ b/docs/Doxygen/html/md_src_2_core_2_random_2_r_e_a_d_m_e.html @@ -101,7 +101,7 @@

  • Shuffling Capabilities: Shuffle elements in an array using the current random generator.
  • Resource Management: Utilizes std::unique_ptr with a custom deleter to manage the GSL RNG resource.
  • Seed Control: Allows setting and retrieving the RNG seed for reproducibility.
    • -
  • Move Semantics: Supports move construction and move assignment for flexible resource management.
    • +
  • Templated Methods: Provides templated methods for generating uniformly and normally distributed random numbers with flexible types.

    • Dependencies

    @@ -110,8 +110,28 @@

  • fmt (Optional, used for formatting logs)

    • -Usage

    +Installation

    +Prerequisites

    +

    Ensure that the following dependencies are installed on your system:

    +
      +
    • GNU Scientific Library (GSL):
      sudo apt-get install libgsl-dev
      +
      • +
    • fmt Library: (Optional, only if you intend to use logging features)
      sudo apt-get install libfmt-dev
      +
      • +
    +

    +Building the Project

    +

    Assuming you're using CMake for your project, ensure that you link against GSL and fmt (if used):

    +
    find_package(GSL REQUIRED)
    +
    find_package(fmt REQUIRED) # Optional
    +
    +
    add_executable(your_executable main.cpp Random.cpp)
    +
    target_include_directories(your_executable PRIVATE ${GSL_INCLUDE_DIRS})
    +
    target_link_libraries(your_executable PRIVATE ${GSL_LIBRARIES} fmt::fmt) # fmt is optional
    +

    +Usage

    +

    Initialization

    #include "Random.h"
    @@ -122,53 +142,53 @@

    gsl_rng* external_rng = gsl_rng_alloc(gsl_rng_mt19937);
    Random rng_with_external(external_rng);
    -
    Random
    Encapsulates random number generation functionalities using GSL.
    Definition Random.h:21
    -

    +
    Random
    Encapsulates random number generation functionalities using GSL.
    Definition Random.h:22
    +

    Generating Random Numbers

    -

    +

    Poisson Distribution

    double lambda = 4.5;
    int poisson_sample = rng.random_poisson(lambda);
    -
    Random::random_poisson
    int random_poisson(double mean)
    Generates a Poisson-distributed random number.
    Definition Random.cpp:60
    -

    +
    Random::random_poisson
    int random_poisson(double mean)
    Generates a Poisson-distributed random number.
    Definition Random.cpp:62
    +

    Uniform Distribution

    // Uniform integer in [0, 100)
    uint64_t uniform_int = rng.random_uniform(100);
    // Uniform integer in [50, 150)
    -
    uint64_t uniform_int_range = rng.random_uniform(50, 150);
    +
    uint64_t uniform_int_range = rng.random_uniform<uint64_t>(50, 150);
    // Uniform double in [0.0, 1.0)
    double uniform_double = rng.random_uniform();
    // Uniform double in [5.0, 10.0)
    double uniform_double_range = rng.random_uniform(5.0, 10.0);
    -
    Random::random_uniform
    uint64_t random_uniform(uint64_t upper_bound)
    Generates a uniform random integer in [0, upper_bound).
    Definition Random.cpp:68
    -

    +
    Random::random_uniform
    uint64_t random_uniform(uint64_t upper_bound)
    Generates a uniform random integer in [0, upper_bound).
    Definition Random.cpp:70
    +

    Normal Distribution

    double mean = 0.0;
    double std_dev = 1.0;
    // Normal double
    -
    double normal_sample = rng.random_normal(mean, std_dev);
    +
    double normal_sample = rng.random_normal(mean, std_dev);
    // Truncated normal double within ±3 standard deviations
    -
    double truncated_normal = rng.random_normal_truncated(mean, std_dev);
    +
    double truncated_normal = rng.random_normal_truncated(mean, std_dev);
    // Normal integer
    -
    int normal_int = rng.random_normal(5, 2);
    +
    int normal_int = rng.random_normal<int>(5, 2);
    // Truncated normal integer within ±3 standard deviations
    -
    int truncated_normal_int = rng.random_normal_truncated(5, 2);
    -
    Random::random_normal_truncated
    double random_normal_truncated(double mean, double standard_deviation)
    Generates a truncated normally distributed random double within ±3 standard deviations.
    Definition Random.cpp:129
    -
    Random::random_normal
    double random_normal(double mean, double standard_deviation)
    Generates a normally distributed random double with given mean and standard deviation.
    Definition Random.cpp:108
    -

    +
    int truncated_normal_int = rng.random_normal_truncated(5, 2);
    +
    Random::random_normal
    T random_normal(T mean, double standard_deviation)
    Generates a normally distributed random number with given mean and standard deviation.
    Definition Random.h:160
    +
    Random::random_normal_truncated
    double random_normal_truncated(double mean, double standard_deviation, double truncation_limit=3.0)
    Generates a truncated normally distributed random double within ±3 standard deviations.
    +

    Beta Distribution

    double alpha = 2.0;
    double beta_param = 5.0;
    double beta_sample = rng.random_beta(alpha, beta_param);
    -
    Random::random_beta
    double random_beta(double alpha, double beta)
    Generates a Beta-distributed random double.
    Definition Random.cpp:157
    -

    +
    Random::random_beta
    double random_beta(double alpha, double beta)
    Generates a Beta-distributed random double.
    Definition Random.cpp:86
    +

    Gamma Distribution

    double shape = 2.0;
    double scale = 1.5;
    @@ -179,16 +199,16 @@

    // Inverse CDF (Quantile) of Gamma distribution
    double gamma_quantile = rng.cdf_gamma_distribution_inverse(0.95, shape, scale);
    -
    Random::cdf_gamma_distribution_inverse
    double cdf_gamma_distribution_inverse(double probability, double alpha, double beta)
    Computes the inverse CDF (quantile function) of the Gamma distribution.
    Definition Random.cpp:188
    -
    Random::cdf_gamma_distribution
    double cdf_gamma_distribution(double value, double alpha, double beta)
    Computes the CDF of the Gamma distribution.
    Definition Random.cpp:175
    -
    Random::random_gamma
    double random_gamma(double shape, double scale)
    Generates a Gamma-distributed random double.
    Definition Random.cpp:166
    -

    +
    Random::cdf_gamma_distribution_inverse
    double cdf_gamma_distribution_inverse(double probability, double alpha, double beta)
    Computes the inverse CDF (quantile function) of the Gamma distribution.
    Definition Random.cpp:117
    +
    Random::cdf_gamma_distribution
    double cdf_gamma_distribution(double value, double alpha, double beta)
    Computes the CDF of the Gamma distribution.
    Definition Random.cpp:104
    +
    Random::random_gamma
    double random_gamma(double shape, double scale)
    Generates a Gamma-distributed random double.
    Definition Random.cpp:95
    +

    Binomial Distribution

    double probability = 0.5;
    unsigned int trials = 10;
    unsigned int binomial_sample = rng.random_binomial(probability, trials);
    -
    Random::random_binomial
    unsigned int random_binomial(double probability, unsigned int trials)
    Generates a binomially distributed random integer.
    Definition Random.cpp:231
    -

    +
    Random::random_binomial
    unsigned int random_binomial(double probability, unsigned int trials)
    Generates a binomially distributed random integer.
    Definition Random.cpp:154
    +

    Multinomial Distribution

    std::size_t categories = 3;
    unsigned trials = 100;
    @@ -198,8 +218,8 @@

    rng.random_multinomial(categories, trials, probabilities, results);
    // results now contains the number of occurrences in each category
    -
    Random::random_multinomial
    void random_multinomial(std::size_t categories, unsigned trials, const double *probabilities, unsigned *results)
    Generates multinomial random variables.
    Definition Random.cpp:204
    -

    +
    Random::random_multinomial
    void random_multinomial(std::size_t categories, unsigned trials, const double *probabilities, unsigned *results)
    Generates multinomial random variables.
    Definition Random.cpp:127
    +

    Shuffling an Array

    #include <algorithm>
    #include <array>
    @@ -209,23 +229,26 @@

    rng.shuffle(arr.data(), arr.size(), sizeof(int));
    // arr is now shuffled
    -
    Random::shuffle
    void shuffle(void *array, std::size_t element_count, std::size_t element_size) const
    Shuffles elements in an array using the current random generator.
    Definition Random.cpp:242
    -

    +
    Random::shuffle
    void shuffle(void *array, std::size_t element_count, std::size_t element_size) const
    Shuffles elements in an array using the current random generator.
    Definition Random.cpp:165
    +

    Seed Management

    // Retrieve current seed
    uint64_t current_seed = rng.get_seed();
    // Set a new seed
    rng.set_seed(123456789);
    -
    Random::get_seed
    uint64_t get_seed() const noexcept
    Retrieves the current RNG seed.
    Definition Random.cpp:51
    -
    Random::set_seed
    void set_seed(uint64_t new_seed)
    Sets a new seed for the RNG.
    Definition Random.cpp:54
    -

    +
    Random::get_seed
    uint64_t get_seed() const noexcept
    Retrieves the current RNG seed.
    Definition Random.cpp:53
    +
    Random::set_seed
    void set_seed(uint64_t new_seed)
    Sets a new seed for the RNG.
    Definition Random.cpp:56
    +

    Move Semantics

    +
    +

    ‍Note: The Random class does not support move construction or move assignment. Both copy and move operations are deleted to ensure unique ownership of the RNG resource.

    +
    Random rng1;
    -
    Random rng2 = std::move(rng1); // Move constructor
    -
    Random rng3;
    -
    rng3 = std::move(rng2); // Move assignment
    -

    +
    // The following operations are **not** allowed and will result in a compile-time error
    +
    // Random rng2 = std::move(rng1); // Move constructor - Deleted
    +
    // rng2 = std::move(rng1); // Move assignment - Deleted
    +

    Example

    #include "Random.h"
    #include <iostream>
    @@ -244,7 +267,7 @@

    std::cout << "Uniform sample: " << uniform << std::endl;
    // Generate a normal-distributed double with mean=0 and std_dev=1
    -
    double normal = rng.random_normal(0.0, 1.0);
    +
    double normal = rng.random_normal(0.0, 1.0);
    std::cout << "Normal sample: " << normal << std::endl;
    // Shuffle an array
    @@ -262,18 +285,36 @@

    return 0;
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    main
    int main()
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    -

    +

    Contributing

    Contributions are welcome! Please fork the repository and submit a pull request for any enhancements or bug fixes.

    -

    +

    License

    [MIT License](LICENSE)

    -

    +

    Acknowledgments

    +
    +

    +Changelog

    +

    +v1.1.0

    +
      +
    • Removed Move Semantics: The Random class no longer supports move construction or move assignment to ensure unique ownership of the RNG resource.
      • +
    • Added Templated Methods: Introduced templated methods random_uniform and random_normal for greater flexibility in generating random numbers of different types.
      • +
    • Updated Documentation: Revised the README to accurately reflect the class's capabilities and limitations.
      • +
    • Dependency Clarifications: Specified that the fmt library is optional and primarily used for logging purposes.
      • +
    +

    +v1.0.0

    +
      +
    • Initial release with comprehensive random number generation functionalities using GSL.
    +
    +

    This README was generated and updated by ChatGPT based on the provided Random.cpp and Random.h implementations.

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