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File Content: `c_distributions.pxd`

#!python
#cython: wraparound=False, nonecheck=False, boundscheck=False, cdivision=True, language_level=3
from numpy cimport npy_intp

from libc.stdint cimport (uint64_t, int32_t, int64_t)
from numpy.random cimport bitgen_t

cdef extern from "numpy/random/distributions.h":

    struct s_binomial_t:
        int has_binomial
        double psave
        int64_t nsave
        double r
        double q
        double fm
        int64_t m
        double p1
        double xm
        double xl
        double xr
        double c
        double laml
        double lamr
        double p2
        double p3
        double p4

    ctypedef s_binomial_t binomial_t

    float random_standard_uniform_f(bitgen_t *bitgen_state) nogil
    double random_standard_uniform(bitgen_t *bitgen_state) nogil
    void random_standard_uniform_fill(bitgen_t* bitgen_state, npy_intp cnt, double *out) nogil
    void random_standard_uniform_fill_f(bitgen_t *bitgen_state, npy_intp cnt, float *out) nogil
    
    double random_standard_exponential(bitgen_t *bitgen_state) nogil
    float random_standard_exponential_f(bitgen_t *bitgen_state) nogil
    void random_standard_exponential_fill(bitgen_t *bitgen_state, npy_intp cnt, double *out) nogil
    void random_standard_exponential_fill_f(bitgen_t *bitgen_state, npy_intp cnt, float *out) nogil
    void random_standard_exponential_inv_fill(bitgen_t *bitgen_state, npy_intp cnt, double *out) nogil
    void random_standard_exponential_inv_fill_f(bitgen_t *bitgen_state, npy_intp cnt, float *out) nogil
    
    double random_standard_normal(bitgen_t* bitgen_state) nogil
    float random_standard_normal_f(bitgen_t *bitgen_state) nogil
    void random_standard_normal_fill(bitgen_t *bitgen_state, npy_intp count, double *out) nogil
    void random_standard_normal_fill_f(bitgen_t *bitgen_state, npy_intp count, float *out) nogil
    double random_standard_gamma(bitgen_t *bitgen_state, double shape) nogil
    float random_standard_gamma_f(bitgen_t *bitgen_state, float shape) nogil

    float random_standard_uniform_f(bitgen_t *bitgen_state) nogil
    void random_standard_uniform_fill_f(bitgen_t* bitgen_state, npy_intp cnt, float *out) nogil
    float random_standard_normal_f(bitgen_t* bitgen_state) nogil
    float random_standard_gamma_f(bitgen_t *bitgen_state, float shape) nogil

    int64_t random_positive_int64(bitgen_t *bitgen_state) nogil
    int32_t random_positive_int32(bitgen_t *bitgen_state) nogil
    int64_t random_positive_int(bitgen_t *bitgen_state) nogil
    uint64_t random_uint(bitgen_t *bitgen_state) nogil

    double random_normal(bitgen_t *bitgen_state, double loc, double scale) nogil

    double random_gamma(bitgen_t *bitgen_state, double shape, double scale) nogil
    float random_gamma_f(bitgen_t *bitgen_state, float shape, float scale) nogil

    double random_exponential(bitgen_t *bitgen_state, double scale) nogil
    double random_uniform(bitgen_t *bitgen_state, double lower, double range) nogil
    double random_beta(bitgen_t *bitgen_state, double a, double b) nogil
    double random_chisquare(bitgen_t *bitgen_state, double df) nogil
    double random_f(bitgen_t *bitgen_state, double dfnum, double dfden) nogil
    double random_standard_cauchy(bitgen_t *bitgen_state) nogil
    double random_pareto(bitgen_t *bitgen_state, double a) nogil
    double random_weibull(bitgen_t *bitgen_state, double a) nogil
    double random_power(bitgen_t *bitgen_state, double a) nogil
    double random_laplace(bitgen_t *bitgen_state, double loc, double scale) nogil
    double random_gumbel(bitgen_t *bitgen_state, double loc, double scale) nogil
    double random_logistic(bitgen_t *bitgen_state, double loc, double scale) nogil
    double random_lognormal(bitgen_t *bitgen_state, double mean, double sigma) nogil
    double random_rayleigh(bitgen_t *bitgen_state, double mode) nogil
    double random_standard_t(bitgen_t *bitgen_state, double df) nogil
    double random_noncentral_chisquare(bitgen_t *bitgen_state, double df,
                                       double nonc) nogil
    double random_noncentral_f(bitgen_t *bitgen_state, double dfnum,
                               double dfden, double nonc) nogil
    double random_wald(bitgen_t *bitgen_state, double mean, double scale) nogil
    double random_vonmises(bitgen_t *bitgen_state, double mu, double kappa) nogil
    double random_triangular(bitgen_t *bitgen_state, double left, double mode,
                             double right) nogil

    int64_t random_poisson(bitgen_t *bitgen_state, double lam) nogil
    int64_t random_negative_binomial(bitgen_t *bitgen_state, double n, double p) nogil
    int64_t random_binomial(bitgen_t *bitgen_state, double p, int64_t n, binomial_t *binomial) nogil
    int64_t random_logseries(bitgen_t *bitgen_state, double p) nogil
    int64_t random_geometric_search(bitgen_t *bitgen_state, double p) nogil
    int64_t random_geometric_inversion(bitgen_t *bitgen_state, double p) nogil
    int64_t random_geometric(bitgen_t *bitgen_state, double p) nogil
    int64_t random_zipf(bitgen_t *bitgen_state, double a) nogil
    int64_t random_hypergeometric(bitgen_t *bitgen_state, int64_t good, int64_t bad,
                                    int64_t sample) nogil

    uint64_t random_interval(bitgen_t *bitgen_state, uint64_t max) nogil

    # Generate random uint64 numbers in closed interval [off, off + rng].
    uint64_t random_bounded_uint64(bitgen_t *bitgen_state,
                                   uint64_t off, uint64_t rng,
                                   uint64_t mask, bint use_masked) nogil

    void random_multinomial(bitgen_t *bitgen_state, int64_t n, int64_t *mnix,
                            double *pix, npy_intp d, binomial_t *binomial) nogil

    int random_multivariate_hypergeometric_count(bitgen_t *bitgen_state,
                          int64_t total,
                          size_t num_colors, int64_t *colors,
                          int64_t nsample,
                          size_t num_variates, int64_t *variates) nogil
    void random_multivariate_hypergeometric_marginals(bitgen_t *bitgen_state,
                               int64_t total,
                               size_t num_colors, int64_t *colors,
                               int64_t nsample,
                               size_t num_variates, int64_t *variates) nogil

Name	Size	Permission
__pycache__	---	0755
_examples	---	0755
lib	---	0755
tests	---	0755
__init__.pxd	431 bytes	0644
__init__.py	7506 bytes	0644
__init__.pyi	2143 bytes	0644
_bounded_integers.cpython-311-x86_64-linux-gnu.so	410480 bytes	0755
_bounded_integers.pxd	1669 bytes	0644
_common.cpython-311-x86_64-linux-gnu.so	286816 bytes	0755
_common.pxd	4939 bytes	0644
_generator.cpython-311-x86_64-linux-gnu.so	1008152 bytes	0755
_generator.pyi	22442 bytes	0644
_mt19937.cpython-311-x86_64-linux-gnu.so	115672 bytes	0755
_mt19937.pyi	724 bytes	0644
_pcg64.cpython-311-x86_64-linux-gnu.so	118144 bytes	0755
_pcg64.pyi	1091 bytes	0644
_philox.cpython-311-x86_64-linux-gnu.so	101416 bytes	0755
_philox.pyi	978 bytes	0644
_pickle.py	2318 bytes	0644
_sfc64.cpython-311-x86_64-linux-gnu.so	67384 bytes	0755
_sfc64.pyi	709 bytes	0644
bit_generator.cpython-311-x86_64-linux-gnu.so	232704 bytes	0755
bit_generator.pxd	1007 bytes	0644
bit_generator.pyi	3510 bytes	0644
c_distributions.pxd	6344 bytes	0644
mtrand.cpython-311-x86_64-linux-gnu.so	798376 bytes	0755
mtrand.pyi	19728 bytes	0644
setup.py	6688 bytes	0644

File Content: c_distributions.pxd

File Content: `c_distributions.pxd`