A PyQT GUI application for converting InfoLease report outputs into Excel files. Handles parsing and summarizing. Learns where files are meant to be store and compiles monthly and yearly summaries.
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InfoLeaseExtract/venv/Lib/site-packages/numpy/random/c_distributions.pxd

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5.9 KiB

#!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
double random_standard_uniform(bitgen_t *bitgen_state) nogil
void random_standard_uniform_fill(bitgen_t* bitgen_state, npy_intp cnt, double *out) nogil
double random_standard_exponential(bitgen_t *bitgen_state) nogil
double 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, double *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, double *out) nogil
double random_standard_normal(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_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