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[multiple changes]
2010-02-08 Benjamin Kosnik <bkoz@redhat.com> PR libstdc++/42460 * include/tr1_impl/regex: Fix quoting issues in doxygen markup. * include/bits/random.h: Fix multi-line doxygen function markup. 2010-02-08 Matthias Klose <doko@debian.org> PR libstdc++/42460 * include/std/istream: Fix '\' quoting in doxygen markup. From-SVN: r156617
This commit is contained in:
Benjamin Kosnik
parent
85db3dc16c
commit
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@ -1,3 +1,14 @@
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2010-02-08 Benjamin Kosnik <bkoz@redhat.com>
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PR libstdc++/42460
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* include/tr1_impl/regex: Fix quoting issues in doxygen markup.
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* include/bits/random.h: Fix multi-line doxygen function markup.
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2010-02-08 Matthias Klose <doko@debian.org>
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PR libstdc++/42460
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* include/std/istream: Fix '\' quoting in doxygen markup.
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2010-02-08 Ed Smith-Rowland <3dw4rd@verizon.net>
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* include/bits/random.tcc (uniform_int_distribution<>::
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@ -137,8 +137,11 @@ namespace std
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/**
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* @brief A model of a linear congruential random number generator.
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*
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* A random number generator that produces pseudorandom numbers using the
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* linear function @f$x_{i+1}\leftarrow(ax_{i} + c) \bmod m @f$.
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* A random number generator that produces pseudorandom numbers via
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* linear function:
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* @f[
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* x_{i+1}\leftarrow(ax_{i} + c) \bmod m
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* @f]
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*
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* The template parameter @p _UIntType must be an unsigned integral type
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* large enough to store values up to (__m-1). If the template parameter
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@ -146,7 +149,7 @@ namespace std
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* std::numeric_limits<_UIntType>::max() plus 1. Otherwise, the template
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* parameters @p __a and @p __c must be less than @p __m.
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*
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* The size of the state is @f$ 1 @f$.
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* The size of the state is @f$1@f$.
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*/
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template<typename _UIntType, _UIntType __a, _UIntType __c, _UIntType __m>
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class linear_congruential_engine
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@ -527,11 +530,13 @@ namespace std
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* generator, sometimes referred to as the SWC generator.
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*
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* A discrete random number generator that produces pseudorandom
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* numbers using @f$x_{i}\leftarrow(x_{i - s} - x_{i - r} -
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* carry_{i-1}) \bmod m @f$.
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* numbers using:
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* @f[
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* x_{i}\leftarrow(x_{i - s} - x_{i - r} - carry_{i-1}) \bmod m
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* @f]
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*
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* The size of the state is @f$ r @f$
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* and the maximum period of the generator is @f$ m^r - m^s - 1 @f$.
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* The size of the state is @f$r@f$
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* and the maximum period of the generator is @f$(m^r - m^s - 1)@f$.
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*
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* @var _M_x The state of the generator. This is a ring buffer.
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* @var _M_carry The carry.
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@ -578,7 +583,7 @@ namespace std
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{ seed<_Sseq>(__q); }
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/**
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* @brief Seeds the initial state @f$ x_0 @f$ of the random number
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* @brief Seeds the initial state @f$x_0@f$ of the random number
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* generator.
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*
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* N1688[4.19] modifies this as follows. If @p __value == 0,
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@ -593,7 +598,7 @@ namespace std
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seed(result_type __sd = default_seed);
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/**
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* @brief Seeds the initial state @f$ x_0 @f$ of the
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* @brief Seeds the initial state @f$x_0@f$ of the
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* % subtract_with_carry_engine random number generator.
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*/
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template<typename _Sseq, typename
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@ -1331,7 +1336,7 @@ namespace std
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minstd_rand0;
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/**
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* An alternative LCR (Lehmer Generator function) .
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* An alternative LCR (Lehmer Generator function).
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*/
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typedef linear_congruential_engine<uint_fast32_t, 48271UL, 0UL, 2147483647UL>
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minstd_rand;
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@ -1364,9 +1369,6 @@ namespace std
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0xfff7eee000000000ULL, 43,
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6364136223846793005ULL> mt19937_64;
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/**
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* .
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*/
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typedef subtract_with_carry_engine<uint_fast32_t, 24, 10, 24>
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ranlux24_base;
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@ -1377,14 +1379,8 @@ namespace std
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typedef discard_block_engine<ranlux48_base, 389, 11> ranlux48;
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/**
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* .
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*/
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typedef shuffle_order_engine<minstd_rand0, 256> knuth_b;
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/**
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* .
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*/
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typedef minstd_rand0 default_random_engine;
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/**
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@ -1809,8 +1805,10 @@ namespace std
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* @brief A normal continuous distribution for random numbers.
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*
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* The formula for the normal probability density function is
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* @f$ p(x|\mu,\sigma) = \frac{1}{\sigma \sqrt{2 \pi}}
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* e^{- \frac{{x - \mu}^ {2}}{2 \sigma ^ {2}} } @f$.
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* @f[
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* p(x|\mu,\sigma) = \frac{1}{\sigma \sqrt{2 \pi}}
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* e^{- \frac{{x - \mu}^ {2}}{2 \sigma ^ {2}} }
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* @f]
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*/
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template<typename _RealType = double>
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class normal_distribution
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@ -1849,7 +1847,7 @@ namespace std
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public:
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/**
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* Constructs a normal distribution with parameters @f$ mean @f$ and
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* Constructs a normal distribution with parameters @f$mean@f$ and
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* standard deviation.
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*/
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explicit
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@ -1964,8 +1962,10 @@ namespace std
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* @brief A lognormal_distribution random number distribution.
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*
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* The formula for the normal probability mass function is
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* @f$ p(x|m,s) = \frac{1}{sx\sqrt{2\pi}}
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* \exp{-\frac{(\ln{x} - m)^2}{2s^2}} @f$
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* @f[
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* p(x|m,s) = \frac{1}{sx\sqrt{2\pi}}
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* \exp{-\frac{(\ln{x} - m)^2}{2s^2}}
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* @f]
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*/
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template<typename _RealType = double>
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class lognormal_distribution
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@ -2109,9 +2109,11 @@ namespace std
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/**
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* @brief A gamma continuous distribution for random numbers.
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*
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* The formula for the gamma probability density function is
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* @f$ p(x|\alpha,\beta) = \frac{1}{\beta\Gamma(\alpha)}
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* (x/\beta)^{\alpha - 1} e^{-x/\beta} @f$.
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* The formula for the gamma probability density function is:
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* @f[
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* p(x|\alpha,\beta) = \frac{1}{\beta\Gamma(\alpha)}
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* (x/\beta)^{\alpha - 1} e^{-x/\beta}
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* @f]
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*/
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template<typename _RealType = double>
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class gamma_distribution
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@ -2158,7 +2160,7 @@ namespace std
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public:
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/**
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* @brief Constructs a gamma distribution with parameters
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* @f$ \alpha @f$ and @f$ \beta @f$.
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* @f$\alpha@f$ and @f$\beta@f$.
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*/
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explicit
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gamma_distribution(_RealType __alpha_val = _RealType(1),
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@ -2179,14 +2181,14 @@ namespace std
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{ _M_nd.reset(); }
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/**
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* @brief Returns the @f$ \alpha @f$ of the distribution.
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* @brief Returns the @f$\alpha@f$ of the distribution.
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*/
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_RealType
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alpha() const
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{ return _M_param.alpha(); }
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/**
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* @brief Returns the @f$ \beta @f$ of the distribution.
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* @brief Returns the @f$\beta@f$ of the distribution.
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*/
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_RealType
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beta() const
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@ -2271,7 +2273,7 @@ namespace std
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* @brief A chi_squared_distribution random number distribution.
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*
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* The formula for the normal probability mass function is
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* @f$ p(x|n) = \frac{x^{(n/2) - 1}e^{-x/2}}{\Gamma(n/2) 2^{n/2}} @f$
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* @f$p(x|n) = \frac{x^{(n/2) - 1}e^{-x/2}}{\Gamma(n/2) 2^{n/2}}@f$
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*/
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template<typename _RealType = double>
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class chi_squared_distribution
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@ -2409,7 +2411,7 @@ namespace std
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* @brief A cauchy_distribution random number distribution.
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*
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* The formula for the normal probability mass function is
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* @f$ p(x|a,b) = (\pi b (1 + (\frac{x-a}{b})^2))^{-1} @f$
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* @f$p(x|a,b) = (\pi b (1 + (\frac{x-a}{b})^2))^{-1}@f$
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*/
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template<typename _RealType = double>
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class cauchy_distribution
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@ -2551,9 +2553,11 @@ namespace std
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* @brief A fisher_f_distribution random number distribution.
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*
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* The formula for the normal probability mass function is
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* @f$ p(x|m,n) = \frac{\Gamma((m+n)/2)}{\Gamma(m/2)\Gamma(n/2)}
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* @f[
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* p(x|m,n) = \frac{\Gamma((m+n)/2)}{\Gamma(m/2)\Gamma(n/2)}
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* (\frac{m}{n})^{m/2} x^{(m/2)-1}
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* (1 + \frac{mx}{n})^{-(m+n)/2} @f$
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* (1 + \frac{mx}{n})^{-(m+n)/2}
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* @f]
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*/
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template<typename _RealType = double>
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class fisher_f_distribution
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@ -2705,9 +2709,11 @@ namespace std
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/**
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* @brief A student_t_distribution random number distribution.
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*
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* The formula for the normal probability mass function is
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* @f$ p(x|n) = \frac{1}{\sqrt(n\pi)} \frac{\Gamma((n+1)/2)}{\Gamma(n/2)}
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* (1 + \frac{x^2}{n}) ^{-(n+1)/2} @f$
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* The formula for the normal probability mass function is:
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* @f[
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* p(x|n) = \frac{1}{\sqrt(n\pi)} \frac{\Gamma((n+1)/2)}{\Gamma(n/2)}
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* (1 + \frac{x^2}{n}) ^{-(n+1)/2}
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* @f]
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*/
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template<typename _RealType = double>
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class student_t_distribution
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@ -2857,8 +2863,8 @@ namespace std
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/**
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* @brief A Bernoulli random number distribution.
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*
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* Generates a sequence of true and false values with likelihood @f$ p @f$
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* that true will come up and @f$ (1 - p) @f$ that false will appear.
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* Generates a sequence of true and false values with likelihood @f$p@f$
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* that true will come up and @f$(1 - p)@f$ that false will appear.
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*/
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class bernoulli_distribution
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{
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@ -2890,7 +2896,7 @@ namespace std
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* @brief Constructs a Bernoulli distribution with likelihood @p p.
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*
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* @param __p [IN] The likelihood of a true result being returned.
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* Must be in the interval @f$ [0, 1] @f$.
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* Must be in the interval @f$[0, 1]@f$.
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*/
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explicit
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bernoulli_distribution(double __p = 0.5)
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@ -3011,8 +3017,8 @@ namespace std
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* @brief A discrete binomial random number distribution.
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*
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* The formula for the binomial probability density function is
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* @f$ p(i|t,p) = \binom{n}{i} p^i (1 - p)^{t - i} @f$ where @f$ t @f$
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* and @f$ p @f$ are the parameters of the distribution.
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* @f$p(i|t,p) = \binom{n}{i} p^i (1 - p)^{t - i}@f$ where @f$t@f$
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* and @f$p@f$ are the parameters of the distribution.
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*/
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template<typename _IntType = int>
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class binomial_distribution
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@ -3182,7 +3188,7 @@ namespace std
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* @brief A discrete geometric random number distribution.
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*
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* The formula for the geometric probability density function is
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* @f$ p(i|p) = (1 - p)p^{i-1} @f$ where @f$ p @f$ is the parameter of the
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* @f$p(i|p) = (1 - p)p^{i-1}@f$ where @f$p@f$ is the parameter of the
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* distribution.
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*/
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template<typename _IntType = int>
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@ -3328,8 +3334,8 @@ namespace std
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* @brief A negative_binomial_distribution random number distribution.
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*
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* The formula for the negative binomial probability mass function is
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* @f$ p(i) = \binom{n}{i} p^i (1 - p)^{t - i} @f$ where @f$ t @f$
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* and @f$ p @f$ are the parameters of the distribution.
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* @f$p(i) = \binom{n}{i} p^i (1 - p)^{t - i}@f$ where @f$t@f$
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* and @f$p@f$ are the parameters of the distribution.
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*/
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template<typename _IntType = int>
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class negative_binomial_distribution
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@ -3381,14 +3387,14 @@ namespace std
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{ _M_gd.reset(); }
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/**
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* @brief Return the @f$ k @f$ parameter of the distribution.
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* @brief Return the @f$k@f$ parameter of the distribution.
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*/
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_IntType
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k() const
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{ return _M_param.k(); }
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/**
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* @brief Return the @f$ p @f$ parameter of the distribution.
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* @brief Return the @f$p@f$ parameter of the distribution.
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*/
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double
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p() const
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@ -3481,7 +3487,7 @@ namespace std
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* @brief A discrete Poisson random number distribution.
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*
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* The formula for the Poisson probability density function is
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* @f$ p(i|\mu) = \frac{\mu^i}{i!} e^{-\mu} @f$ where @f$ \mu @f$ is the
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* @f$p(i|\mu) = \frac{\mu^i}{i!} e^{-\mu}@f$ where @f$\mu@f$ is the
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* parameter of the distribution.
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*/
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template<typename _IntType = int>
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@ -3629,15 +3635,15 @@ namespace std
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* @brief An exponential continuous distribution for random numbers.
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*
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* The formula for the exponential probability density function is
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* @f$ p(x|\lambda) = \lambda e^{-\lambda x} @f$.
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* @f$p(x|\lambda) = \lambda e^{-\lambda x}@f$.
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*
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* <table border=1 cellpadding=10 cellspacing=0>
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* <caption align=top>Distribution Statistics</caption>
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* <tr><td>Mean</td><td>@f$ \frac{1}{\lambda} @f$</td></tr>
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* <tr><td>Median</td><td>@f$ \frac{\ln 2}{\lambda} @f$</td></tr>
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* <tr><td>Mode</td><td>@f$ zero @f$</td></tr>
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* <tr><td>Mean</td><td>@f$\frac{1}{\lambda}@f$</td></tr>
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* <tr><td>Median</td><td>@f$\frac{\ln 2}{\lambda}@f$</td></tr>
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* <tr><td>Mode</td><td>@f$zero@f$</td></tr>
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* <tr><td>Range</td><td>@f$[0, \infty]@f$</td></tr>
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* <tr><td>Standard Deviation</td><td>@f$ \frac{1}{\lambda} @f$</td></tr>
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* <tr><td>Standard Deviation</td><td>@f$\frac{1}{\lambda}@f$</td></tr>
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* </table>
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||||
*/
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template<typename _RealType = double>
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@ -3672,7 +3678,7 @@ namespace std
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public:
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/**
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* @brief Constructs an exponential distribution with inverse scale
|
||||
* parameter @f$ \lambda @f$.
|
||||
* parameter @f$\lambda@f$.
|
||||
*/
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explicit
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exponential_distribution(const result_type& __lambda = result_type(1))
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@ -3781,9 +3787,11 @@ namespace std
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/**
|
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* @brief A weibull_distribution random number distribution.
|
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*
|
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* The formula for the normal probability density function is
|
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* @f$ p(x|\alpha,\beta) = \frac{\alpha}{\beta} (\frac{x}{\beta})^{\alpha-1}
|
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* \exp{(-(\frac{x}{\beta})^\alpha)} @f$.
|
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* The formula for the normal probability density function is:
|
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* @f[
|
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* p(x|\alpha,\beta) = \frac{\alpha}{\beta} (\frac{x}{\beta})^{\alpha-1}
|
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* \exp{(-(\frac{x}{\beta})^\alpha)}
|
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* @f]
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||||
*/
|
||||
template<typename _RealType = double>
|
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class weibull_distribution
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||||
@ -3837,14 +3845,14 @@ namespace std
|
||||
{ }
|
||||
|
||||
/**
|
||||
* @brief Return the @f$ a @f$ parameter of the distribution.
|
||||
* @brief Return the @f$a@f$ parameter of the distribution.
|
||||
*/
|
||||
_RealType
|
||||
a() const
|
||||
{ return _M_param.a(); }
|
||||
|
||||
/**
|
||||
* @brief Return the @f$ b @f$ parameter of the distribution.
|
||||
* @brief Return the @f$b@f$ parameter of the distribution.
|
||||
*/
|
||||
_RealType
|
||||
b() const
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||||
@ -3928,8 +3936,10 @@ namespace std
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||||
* @brief A extreme_value_distribution random number distribution.
|
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*
|
||||
* The formula for the normal probability mass function is
|
||||
* @f$ p(x|a,b) = \frac{1}{b}
|
||||
* \exp( \frac{a-x}{b} - \exp(\frac{a-x}{b})) @f$
|
||||
* @f[
|
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* p(x|a,b) = \frac{1}{b}
|
||||
* \exp( \frac{a-x}{b} - \exp(\frac{a-x}{b}))
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* @f]
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||||
*/
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template<typename _RealType = double>
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class extreme_value_distribution
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@ -3983,14 +3993,14 @@ namespace std
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||||
{ }
|
||||
|
||||
/**
|
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* @brief Return the @f$ a @f$ parameter of the distribution.
|
||||
* @brief Return the @f$a@f$ parameter of the distribution.
|
||||
*/
|
||||
_RealType
|
||||
a() const
|
||||
{ return _M_param.a(); }
|
||||
|
||||
/**
|
||||
* @brief Return the @f$ b @f$ parameter of the distribution.
|
||||
* @brief Return the @f$b@f$ parameter of the distribution.
|
||||
*/
|
||||
_RealType
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b() const
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||||
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||||
@ -327,7 +327,7 @@ _GLIBCXX_BEGIN_NAMESPACE(std)
|
||||
* @param n Maximum number of characters to store in @a s.
|
||||
* @return *this
|
||||
*
|
||||
* Returns @c get(s,n,widen('\n')).
|
||||
* Returns @c get(s,n,widen('\\n')).
|
||||
*/
|
||||
__istream_type&
|
||||
get(char_type* __s, streamsize __n)
|
||||
@ -360,7 +360,7 @@ _GLIBCXX_BEGIN_NAMESPACE(std)
|
||||
* @param sb A streambuf in which to store data.
|
||||
* @return *this
|
||||
*
|
||||
* Returns @c get(sb,widen('\n')).
|
||||
* Returns @c get(sb,widen('\\n')).
|
||||
*/
|
||||
__istream_type&
|
||||
get(__streambuf_type& __sb)
|
||||
@ -400,7 +400,7 @@ _GLIBCXX_BEGIN_NAMESPACE(std)
|
||||
* @param n Maximum number of characters to extract.
|
||||
* @return *this
|
||||
*
|
||||
* Returns @c getline(s,n,widen('\n')).
|
||||
* Returns @c getline(s,n,widen('\\n')).
|
||||
*/
|
||||
__istream_type&
|
||||
getline(char_type* __s, streamsize __n)
|
||||
|
||||
@ -135,9 +135,11 @@ namespace regex_constants
|
||||
* Specifies that the grammar recognized by the regular expression engine is
|
||||
* that used by POSIX utility awk in IEEE Std 1003.1-2001. This option is
|
||||
* identical to syntax_option_type extended, except that C-style escape
|
||||
* sequences are supported. These sequences are, explicitly, '\\', '\a',
|
||||
* '\b', '\f', '\n', '\r', '\t' , '\v', '\'', ''',
|
||||
* and '\ddd' (where ddd is one, two, or three octal digits).
|
||||
* sequences are supported. These sequences are:
|
||||
* \\\\, \\a, \\b, \\f,
|
||||
* \\n, \\r, \\t , \\v,
|
||||
* \\', ', and \\ddd
|
||||
* (where ddd is one, two, or three octal digits).
|
||||
*/
|
||||
static const syntax_option_type awk = 1 << _S_awk;
|
||||
|
||||
@ -202,26 +204,26 @@ namespace regex_constants
|
||||
|
||||
/**
|
||||
* The first character in the sequence [first, last) is treated as though it
|
||||
* is not at the beginning of a line, so the character '^' in the regular
|
||||
* is not at the beginning of a line, so the character (^) in the regular
|
||||
* expression shall not match [first, first).
|
||||
*/
|
||||
static const match_flag_type match_not_bol = 1 << _S_not_bol;
|
||||
|
||||
/**
|
||||
* The last character in the sequence [first, last) is treated as though it
|
||||
* is not at the end of a line, so the character '$' in the regular
|
||||
* is not at the end of a line, so the character ($) in the regular
|
||||
* expression shall not match [last, last).
|
||||
*/
|
||||
static const match_flag_type match_not_eol = 1 << _S_not_eol;
|
||||
|
||||
/**
|
||||
* The expression '\b' is not matched against the sub-sequence
|
||||
* The expression \\b is not matched against the sub-sequence
|
||||
* [first,first).
|
||||
*/
|
||||
static const match_flag_type match_not_bow = 1 << _S_not_bow;
|
||||
|
||||
/**
|
||||
* The expression '\b' should not be matched against the sub-sequence
|
||||
* The expression \\b should not be matched against the sub-sequence
|
||||
* [last,last).
|
||||
*/
|
||||
static const match_flag_type match_not_eow = 1 << _S_not_eow;
|
||||
@ -363,7 +365,7 @@ namespace regex_constants
|
||||
static const error_type error_space(_S_error_space);
|
||||
|
||||
/**
|
||||
* One of '*?+{' was not preceded by a valid regular expression.
|
||||
* One of <em>*?+{</em> was not preceded by a valid regular expression.
|
||||
*/
|
||||
static const error_type error_badrepeat(_S_error_badrepeat);
|
||||
|
||||
@ -2532,7 +2534,7 @@ namespace regex_constants
|
||||
|
||||
// [7.12.2] Class template regex_token_iterator
|
||||
/**
|
||||
* Iterates over submatches in a range (or 'splits' a text string).
|
||||
* Iterates over submatches in a range (or @a splits a text string).
|
||||
*
|
||||
* The purpose of this iterator is to enumerate all, or all specified,
|
||||
* matches of a regular expression within a text range. The dereferenced
|
||||
|
||||
Loading…
Reference in New Issue
Block a user