Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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115 lines
5.9 KiB
115 lines
5.9 KiB
4 years ago
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#!python
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#cython: wraparound=False, nonecheck=False, boundscheck=False, cdivision=True, language_level=3
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from numpy cimport npy_intp
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from libc.stdint cimport (uint64_t, int32_t, int64_t)
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from numpy.random cimport bitgen_t
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cdef extern from "numpy/random/distributions.h":
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struct s_binomial_t:
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int has_binomial
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double psave
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int64_t nsave
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double r
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double q
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double fm
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int64_t m
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double p1
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double xm
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double xl
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double xr
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double c
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double laml
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double lamr
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double p2
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double p3
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double p4
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ctypedef s_binomial_t binomial_t
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double random_standard_uniform(bitgen_t *bitgen_state) nogil
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void random_standard_uniform_fill(bitgen_t* bitgen_state, npy_intp cnt, double *out) nogil
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double random_standard_exponential(bitgen_t *bitgen_state) nogil
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double random_standard_exponential_f(bitgen_t *bitgen_state) nogil
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void random_standard_exponential_fill(bitgen_t *bitgen_state, npy_intp cnt, double *out) nogil
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void random_standard_exponential_fill_f(bitgen_t *bitgen_state, npy_intp cnt, double *out) nogil
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void random_standard_exponential_inv_fill(bitgen_t *bitgen_state, npy_intp cnt, double *out) nogil
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void random_standard_exponential_inv_fill_f(bitgen_t *bitgen_state, npy_intp cnt, double *out) nogil
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double random_standard_normal(bitgen_t* bitgen_state) nogil
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void random_standard_normal_fill(bitgen_t *bitgen_state, npy_intp count, double *out) nogil
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void random_standard_normal_fill_f(bitgen_t *bitgen_state, npy_intp count, float *out) nogil
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double random_standard_gamma(bitgen_t *bitgen_state, double shape) nogil
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float random_standard_uniform_f(bitgen_t *bitgen_state) nogil
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void random_standard_uniform_fill_f(bitgen_t* bitgen_state, npy_intp cnt, float *out) nogil
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float random_standard_normal_f(bitgen_t* bitgen_state) nogil
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float random_standard_gamma_f(bitgen_t *bitgen_state, float shape) nogil
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int64_t random_positive_int64(bitgen_t *bitgen_state) nogil
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int32_t random_positive_int32(bitgen_t *bitgen_state) nogil
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int64_t random_positive_int(bitgen_t *bitgen_state) nogil
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uint64_t random_uint(bitgen_t *bitgen_state) nogil
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double random_normal(bitgen_t *bitgen_state, double loc, double scale) nogil
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double random_gamma(bitgen_t *bitgen_state, double shape, double scale) nogil
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float random_gamma_f(bitgen_t *bitgen_state, float shape, float scale) nogil
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double random_exponential(bitgen_t *bitgen_state, double scale) nogil
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double random_uniform(bitgen_t *bitgen_state, double lower, double range) nogil
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double random_beta(bitgen_t *bitgen_state, double a, double b) nogil
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double random_chisquare(bitgen_t *bitgen_state, double df) nogil
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double random_f(bitgen_t *bitgen_state, double dfnum, double dfden) nogil
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double random_standard_cauchy(bitgen_t *bitgen_state) nogil
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double random_pareto(bitgen_t *bitgen_state, double a) nogil
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double random_weibull(bitgen_t *bitgen_state, double a) nogil
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double random_power(bitgen_t *bitgen_state, double a) nogil
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double random_laplace(bitgen_t *bitgen_state, double loc, double scale) nogil
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double random_gumbel(bitgen_t *bitgen_state, double loc, double scale) nogil
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double random_logistic(bitgen_t *bitgen_state, double loc, double scale) nogil
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double random_lognormal(bitgen_t *bitgen_state, double mean, double sigma) nogil
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double random_rayleigh(bitgen_t *bitgen_state, double mode) nogil
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double random_standard_t(bitgen_t *bitgen_state, double df) nogil
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double random_noncentral_chisquare(bitgen_t *bitgen_state, double df,
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double nonc) nogil
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double random_noncentral_f(bitgen_t *bitgen_state, double dfnum,
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double dfden, double nonc) nogil
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double random_wald(bitgen_t *bitgen_state, double mean, double scale) nogil
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double random_vonmises(bitgen_t *bitgen_state, double mu, double kappa) nogil
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double random_triangular(bitgen_t *bitgen_state, double left, double mode,
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double right) nogil
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int64_t random_poisson(bitgen_t *bitgen_state, double lam) nogil
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int64_t random_negative_binomial(bitgen_t *bitgen_state, double n, double p) nogil
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int64_t random_binomial(bitgen_t *bitgen_state, double p, int64_t n, binomial_t *binomial) nogil
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int64_t random_logseries(bitgen_t *bitgen_state, double p) nogil
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int64_t random_geometric_search(bitgen_t *bitgen_state, double p) nogil
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int64_t random_geometric_inversion(bitgen_t *bitgen_state, double p) nogil
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int64_t random_geometric(bitgen_t *bitgen_state, double p) nogil
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int64_t random_zipf(bitgen_t *bitgen_state, double a) nogil
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int64_t random_hypergeometric(bitgen_t *bitgen_state, int64_t good, int64_t bad,
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int64_t sample) nogil
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uint64_t random_interval(bitgen_t *bitgen_state, uint64_t max) nogil
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# Generate random uint64 numbers in closed interval [off, off + rng].
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uint64_t random_bounded_uint64(bitgen_t *bitgen_state,
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uint64_t off, uint64_t rng,
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uint64_t mask, bint use_masked) nogil
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void random_multinomial(bitgen_t *bitgen_state, int64_t n, int64_t *mnix,
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double *pix, npy_intp d, binomial_t *binomial) nogil
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int random_multivariate_hypergeometric_count(bitgen_t *bitgen_state,
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int64_t total,
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size_t num_colors, int64_t *colors,
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int64_t nsample,
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size_t num_variates, int64_t *variates) nogil
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void random_multivariate_hypergeometric_marginals(bitgen_t *bitgen_state,
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int64_t total,
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size_t num_colors, int64_t *colors,
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int64_t nsample,
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size_t num_variates, int64_t *variates) nogil
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