automatic import of python-fortunaopeneuler20.03

3 files changed, 345 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..be6d294 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/Fortuna-5.1.1.tar.gz
diff --git a/python-fortuna.spec b/python-fortuna.spec
new file mode 100644
index 0000000..c8e1c0e
--- /dev/null
+++ b/python-fortuna.spec
@@ -0,0 +1,343 @@
+%global _empty_manifest_terminate_build 0
+Name:		python-Fortuna
+Version:	5.1.1
+Release:	1
+Summary:	High Performance Random Value Toolkit
+License:	Free for non-commercial use
+URL:		https://github.com/BrokenShell/Fortuna
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/15/83/c3a2f3564376ef877b98e52a174e5d269d5b08a06076ab226818baaf2ee6/Fortuna-5.1.1.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-MonkeyScope
+
+%description
+### Table of Contents:
+- Numeric Limits
+    - `Storm::Metrics`
+- Random Value Classes
+    - `RandomValue(Iterable) -> Callable -> Value`
+    - `TruffleShuffle(Iterable) -> Callable -> Value`
+    - `QuantumMonty(Iterable) -> Callable -> Value`
+    - `CumulativeWeightedChoice(Iterable[Tuple[int, Any]]) -> Callable -> Value`
+    - `RelativeWeightedChoice(Iterable[Tuple[int, Any]]) -> Callable -> Value`
+    - `FlexCat(Dict[str, Iterable[Any]]) -> Callable -> Value`
+- Random Value Functions
+    - `random_value(data: Sequence[Any]) -> Any`
+    - `cumulative_weighted_choice(Sequence[Tuple[int, Any]]) -> Any`
+    - `truffle_shuffle(data: Iterable[Any]) -> Callable -> Any`
+- Random Integer Functions
+    - `random_below(Integer) -> Integer`
+    - `random_int(Integer, Integer) -> Integer`
+    - `random_range(Integer, Integer, Integer) -> Integer`
+    - `d(Integer) -> Integer`
+    - `dice(Integer, Integer) -> Integer`
+    - `plus_or_minus(Integer) -> Integer`
+    - `plus_or_minus_linear(Integer) -> Integer`
+    - `plus_or_minus_gauss(Integer) -> Integer`
+    - `binomial_variate(Integer, Float) -> Integer`
+    - `negative_binomial_variate(Integer, Float) -> Integer`
+    - `geometric_variate(Float) -> Integer`
+    - `poisson_variate(Float) -> Integer`
+- Random Index Functions 
+    - ZeroCool Specification: `f(N) -> [0, N)` or `f(-N) -> [-N, 0)`
+    - `random_index(Integer) -> Integer`
+    - `front_gauss(Integer) -> Integer`
+    - `middle_gauss(Integer) -> Integer`
+    - `back_gauss(Integer) -> Integer`
+    - `quantum_gauss(Integer) -> Integer`
+    - `front_poisson(Integer) -> Integer`
+    - `middle_poisson(Integer) -> Integer`
+    - `back_poisson(Integer) -> Integer`
+    - `quantum_poisson(Integer) -> Integer`
+    - `front_linear(Integer) -> Integer`
+    - `middle_linear(Integer) -> Integer`
+    - `back_linear(Integer) -> Integer`
+    - `quantum_linear(Integer) -> Integer`
+    - `quantum_monty(Integer) -> Integer`
+- Random Float Functions
+    - `canonical() -> Float`
+    - `random_float(Float, Float) -> Float`
+    - `triangular(Float, Float, Float) -> Float`
+    - `normal_variate(Float, Float) -> Float`
+    - `lognormal_variate(Float, Float) -> Float`
+    - `exponential_variate(Float) -> Float`
+    - `gamma_variate(Float, Float) -> Float`
+    - `weibull_variate(Float, Float) -> Float`
+    - `extreme_value_variate(Float, Float) -> Float`
+    - `chi_squared_variate(Float) -> Float`
+    - `cauchy_variate(Float, Float) -> Float`
+    - `fisher_f_variate(Float, Float) -> Float`
+    - `student_t_variate(Float) -> Float`
+    - `beta_variate(Float, Float) -> Float`
+    - `pareto_variate(Float) -> Float`
+    - `vonmises_variate(Float, Float) -> Float`
+- Random Boolean Functions
+    - `percent_true(Float) -> Boolean`
+    - `bernoulli_variate(Float) -> Boolean`
+- Inplace Shuffle Algorithms
+    - `shuffle(List[Any]) -> None`
+    - `knuth_a(List[Any]) -> None`
+    - `fisher_yates(List[Any]) -> None`
+- Utilities
+    - `seed(int) -> None`
+    - `sample(population: Sequence, k: int) -> List`
+    - `flatten(Object, *args, Boolean, **kwargs) -> Object`
+    - `smart_clamp(Integer, Integer, Integer) -> Integer`
+    - `float_clamp(Float, Float, Float) -> Float`
+    - `distribution_range(Callable, Integer, Integer) -> Callable`
+    - `max_unit() -> Unsigned Integer`
+    - `min_int() -> Integer`
+    - `max_int() -> Integer`
+    - `min_float() -> Float`
+    - `max_float() -> Float`
+    - `min_below() -> Float`
+    - `min_above() -> Float`
+- Development Log
+- Test Suite Output
+- Legal Information
+#### Numeric Limits:
+- Unsigned Integer: 64 bit unsigned integer.
+    - Range: 0-18446744073709551615, approximately 18.4 billion-billion
+- Integer: 64 bit signed integer.
+    - Range: ±9223372036854775807, approximately ±9.2 billion-billion
+- Float: 64 bit floating point.
+    - Range: ±1.7976931348623157e+308
+
+%package -n python3-Fortuna
+Summary:	High Performance Random Value Toolkit
+Provides:	python-Fortuna
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-Fortuna
+### Table of Contents:
+- Numeric Limits
+    - `Storm::Metrics`
+- Random Value Classes
+    - `RandomValue(Iterable) -> Callable -> Value`
+    - `TruffleShuffle(Iterable) -> Callable -> Value`
+    - `QuantumMonty(Iterable) -> Callable -> Value`
+    - `CumulativeWeightedChoice(Iterable[Tuple[int, Any]]) -> Callable -> Value`
+    - `RelativeWeightedChoice(Iterable[Tuple[int, Any]]) -> Callable -> Value`
+    - `FlexCat(Dict[str, Iterable[Any]]) -> Callable -> Value`
+- Random Value Functions
+    - `random_value(data: Sequence[Any]) -> Any`
+    - `cumulative_weighted_choice(Sequence[Tuple[int, Any]]) -> Any`
+    - `truffle_shuffle(data: Iterable[Any]) -> Callable -> Any`
+- Random Integer Functions
+    - `random_below(Integer) -> Integer`
+    - `random_int(Integer, Integer) -> Integer`
+    - `random_range(Integer, Integer, Integer) -> Integer`
+    - `d(Integer) -> Integer`
+    - `dice(Integer, Integer) -> Integer`
+    - `plus_or_minus(Integer) -> Integer`
+    - `plus_or_minus_linear(Integer) -> Integer`
+    - `plus_or_minus_gauss(Integer) -> Integer`
+    - `binomial_variate(Integer, Float) -> Integer`
+    - `negative_binomial_variate(Integer, Float) -> Integer`
+    - `geometric_variate(Float) -> Integer`
+    - `poisson_variate(Float) -> Integer`
+- Random Index Functions 
+    - ZeroCool Specification: `f(N) -> [0, N)` or `f(-N) -> [-N, 0)`
+    - `random_index(Integer) -> Integer`
+    - `front_gauss(Integer) -> Integer`
+    - `middle_gauss(Integer) -> Integer`
+    - `back_gauss(Integer) -> Integer`
+    - `quantum_gauss(Integer) -> Integer`
+    - `front_poisson(Integer) -> Integer`
+    - `middle_poisson(Integer) -> Integer`
+    - `back_poisson(Integer) -> Integer`
+    - `quantum_poisson(Integer) -> Integer`
+    - `front_linear(Integer) -> Integer`
+    - `middle_linear(Integer) -> Integer`
+    - `back_linear(Integer) -> Integer`
+    - `quantum_linear(Integer) -> Integer`
+    - `quantum_monty(Integer) -> Integer`
+- Random Float Functions
+    - `canonical() -> Float`
+    - `random_float(Float, Float) -> Float`
+    - `triangular(Float, Float, Float) -> Float`
+    - `normal_variate(Float, Float) -> Float`
+    - `lognormal_variate(Float, Float) -> Float`
+    - `exponential_variate(Float) -> Float`
+    - `gamma_variate(Float, Float) -> Float`
+    - `weibull_variate(Float, Float) -> Float`
+    - `extreme_value_variate(Float, Float) -> Float`
+    - `chi_squared_variate(Float) -> Float`
+    - `cauchy_variate(Float, Float) -> Float`
+    - `fisher_f_variate(Float, Float) -> Float`
+    - `student_t_variate(Float) -> Float`
+    - `beta_variate(Float, Float) -> Float`
+    - `pareto_variate(Float) -> Float`
+    - `vonmises_variate(Float, Float) -> Float`
+- Random Boolean Functions
+    - `percent_true(Float) -> Boolean`
+    - `bernoulli_variate(Float) -> Boolean`
+- Inplace Shuffle Algorithms
+    - `shuffle(List[Any]) -> None`
+    - `knuth_a(List[Any]) -> None`
+    - `fisher_yates(List[Any]) -> None`
+- Utilities
+    - `seed(int) -> None`
+    - `sample(population: Sequence, k: int) -> List`
+    - `flatten(Object, *args, Boolean, **kwargs) -> Object`
+    - `smart_clamp(Integer, Integer, Integer) -> Integer`
+    - `float_clamp(Float, Float, Float) -> Float`
+    - `distribution_range(Callable, Integer, Integer) -> Callable`
+    - `max_unit() -> Unsigned Integer`
+    - `min_int() -> Integer`
+    - `max_int() -> Integer`
+    - `min_float() -> Float`
+    - `max_float() -> Float`
+    - `min_below() -> Float`
+    - `min_above() -> Float`
+- Development Log
+- Test Suite Output
+- Legal Information
+#### Numeric Limits:
+- Unsigned Integer: 64 bit unsigned integer.
+    - Range: 0-18446744073709551615, approximately 18.4 billion-billion
+- Integer: 64 bit signed integer.
+    - Range: ±9223372036854775807, approximately ±9.2 billion-billion
+- Float: 64 bit floating point.
+    - Range: ±1.7976931348623157e+308
+
+%package help
+Summary:	Development documents and examples for Fortuna
+Provides:	python3-Fortuna-doc
+%description help
+### Table of Contents:
+- Numeric Limits
+    - `Storm::Metrics`
+- Random Value Classes
+    - `RandomValue(Iterable) -> Callable -> Value`
+    - `TruffleShuffle(Iterable) -> Callable -> Value`
+    - `QuantumMonty(Iterable) -> Callable -> Value`
+    - `CumulativeWeightedChoice(Iterable[Tuple[int, Any]]) -> Callable -> Value`
+    - `RelativeWeightedChoice(Iterable[Tuple[int, Any]]) -> Callable -> Value`
+    - `FlexCat(Dict[str, Iterable[Any]]) -> Callable -> Value`
+- Random Value Functions
+    - `random_value(data: Sequence[Any]) -> Any`
+    - `cumulative_weighted_choice(Sequence[Tuple[int, Any]]) -> Any`
+    - `truffle_shuffle(data: Iterable[Any]) -> Callable -> Any`
+- Random Integer Functions
+    - `random_below(Integer) -> Integer`
+    - `random_int(Integer, Integer) -> Integer`
+    - `random_range(Integer, Integer, Integer) -> Integer`
+    - `d(Integer) -> Integer`
+    - `dice(Integer, Integer) -> Integer`
+    - `plus_or_minus(Integer) -> Integer`
+    - `plus_or_minus_linear(Integer) -> Integer`
+    - `plus_or_minus_gauss(Integer) -> Integer`
+    - `binomial_variate(Integer, Float) -> Integer`
+    - `negative_binomial_variate(Integer, Float) -> Integer`
+    - `geometric_variate(Float) -> Integer`
+    - `poisson_variate(Float) -> Integer`
+- Random Index Functions 
+    - ZeroCool Specification: `f(N) -> [0, N)` or `f(-N) -> [-N, 0)`
+    - `random_index(Integer) -> Integer`
+    - `front_gauss(Integer) -> Integer`
+    - `middle_gauss(Integer) -> Integer`
+    - `back_gauss(Integer) -> Integer`
+    - `quantum_gauss(Integer) -> Integer`
+    - `front_poisson(Integer) -> Integer`
+    - `middle_poisson(Integer) -> Integer`
+    - `back_poisson(Integer) -> Integer`
+    - `quantum_poisson(Integer) -> Integer`
+    - `front_linear(Integer) -> Integer`
+    - `middle_linear(Integer) -> Integer`
+    - `back_linear(Integer) -> Integer`
+    - `quantum_linear(Integer) -> Integer`
+    - `quantum_monty(Integer) -> Integer`
+- Random Float Functions
+    - `canonical() -> Float`
+    - `random_float(Float, Float) -> Float`
+    - `triangular(Float, Float, Float) -> Float`
+    - `normal_variate(Float, Float) -> Float`
+    - `lognormal_variate(Float, Float) -> Float`
+    - `exponential_variate(Float) -> Float`
+    - `gamma_variate(Float, Float) -> Float`
+    - `weibull_variate(Float, Float) -> Float`
+    - `extreme_value_variate(Float, Float) -> Float`
+    - `chi_squared_variate(Float) -> Float`
+    - `cauchy_variate(Float, Float) -> Float`
+    - `fisher_f_variate(Float, Float) -> Float`
+    - `student_t_variate(Float) -> Float`
+    - `beta_variate(Float, Float) -> Float`
+    - `pareto_variate(Float) -> Float`
+    - `vonmises_variate(Float, Float) -> Float`
+- Random Boolean Functions
+    - `percent_true(Float) -> Boolean`
+    - `bernoulli_variate(Float) -> Boolean`
+- Inplace Shuffle Algorithms
+    - `shuffle(List[Any]) -> None`
+    - `knuth_a(List[Any]) -> None`
+    - `fisher_yates(List[Any]) -> None`
+- Utilities
+    - `seed(int) -> None`
+    - `sample(population: Sequence, k: int) -> List`
+    - `flatten(Object, *args, Boolean, **kwargs) -> Object`
+    - `smart_clamp(Integer, Integer, Integer) -> Integer`
+    - `float_clamp(Float, Float, Float) -> Float`
+    - `distribution_range(Callable, Integer, Integer) -> Callable`
+    - `max_unit() -> Unsigned Integer`
+    - `min_int() -> Integer`
+    - `max_int() -> Integer`
+    - `min_float() -> Float`
+    - `max_float() -> Float`
+    - `min_below() -> Float`
+    - `min_above() -> Float`
+- Development Log
+- Test Suite Output
+- Legal Information
+#### Numeric Limits:
+- Unsigned Integer: 64 bit unsigned integer.
+    - Range: 0-18446744073709551615, approximately 18.4 billion-billion
+- Integer: 64 bit signed integer.
+    - Range: ±9223372036854775807, approximately ±9.2 billion-billion
+- Float: 64 bit floating point.
+    - Range: ±1.7976931348623157e+308
+
+%prep
+%autosetup -n Fortuna-5.1.1
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-Fortuna -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 5.1.1-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..944b798
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+63011f7bd421e2ccbdb27da998b94a87  Fortuna-5.1.1.tar.gz