API: revert changes to standard_t, cauchy

3 files changed, 8 insertions, 8 deletions

diff --git a/numpy/core/include/numpy/random/distributions.h b/numpy/core/include/numpy/random/distributions.h
index 94451ebe7..0e69fc508 100644
--- a/numpy/core/include/numpy/random/distributions.h
+++ b/numpy/core/include/numpy/random/distributions.h
@@ -93,7 +93,7 @@ DECLDIR double random_uniform(bitgen_t *bitgen_state, double lower, double range
 DECLDIR double random_beta(bitgen_t *bitgen_state, double a, double b);
 DECLDIR double random_chisquare(bitgen_t *bitgen_state, double df);
 DECLDIR double random_f(bitgen_t *bitgen_state, double dfnum, double dfden);
-DECLDIR double random_cauchy(bitgen_t *bitgen_state);
+DECLDIR double random_standard_cauchy(bitgen_t *bitgen_state);
 DECLDIR double random_pareto(bitgen_t *bitgen_state, double a);
 DECLDIR double random_weibull(bitgen_t *bitgen_state, double a);
 DECLDIR double random_power(bitgen_t *bitgen_state, double a);
@@ -102,7 +102,7 @@ DECLDIR double random_gumbel(bitgen_t *bitgen_state, double loc, double scale);
 DECLDIR double random_logistic(bitgen_t *bitgen_state, double loc, double scale);
 DECLDIR double random_lognormal(bitgen_t *bitgen_state, double mean, double sigma);
 DECLDIR double random_rayleigh(bitgen_t *bitgen_state, double mode);
-DECLDIR double random_student_t(bitgen_t *bitgen_state, double df);
+DECLDIR double random_standard_t(bitgen_t *bitgen_state, double df);
 DECLDIR double random_noncentral_chisquare(bitgen_t *bitgen_state, double df,
                                            double nonc);
 DECLDIR double random_noncentral_f(bitgen_t *bitgen_state, double dfnum,
diff --git a/numpy/random/_generator.pyx b/numpy/random/_generator.pyx
index 6acbb8ac3..74b379da8 100644
--- a/numpy/random/_generator.pyx
+++ b/numpy/random/_generator.pyx
@@ -84,7 +84,7 @@ cdef extern from "numpy/random/distributions.h":
     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_cauchy(bitgen_t *bitgen_state) 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
@@ -93,7 +93,7 @@ cdef extern from "numpy/random/distributions.h":
     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_student_t(bitgen_t *bitgen_state, double df) 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,
@@ -1695,7 +1695,7 @@ cdef class Generator:
         >>> plt.show()
 
         """
-        return cont(&random_cauchy, &self._bitgen, size, self.lock, 0,
+        return cont(&random_standard_cauchy, &self._bitgen, size, self.lock, 0,
                     0.0, '', CONS_NONE, 0.0, '', CONS_NONE, 0.0, '', CONS_NONE, None)
 
     def standard_t(self, df, size=None):
@@ -1786,7 +1786,7 @@ cdef class Generator:
         probability of about 99% of being true.
 
         """
-        return cont(&random_student_t, &self._bitgen, size, self.lock, 1,
+        return cont(&random_standard_t, &self._bitgen, size, self.lock, 1,
                     df, 'df', CONS_POSITIVE,
                     0, '', CONS_NONE,
                     0, '', CONS_NONE,
diff --git a/numpy/random/src/distributions/distributions.c b/numpy/random/src/distributions/distributions.c
index 1b886aeab..0b46dc6d8 100644
--- a/numpy/random/src/distributions/distributions.c
+++ b/numpy/random/src/distributions/distributions.c
@@ -443,7 +443,7 @@ double random_f(bitgen_t *bitgen_state, double dfnum, double dfden) {
           (random_chisquare(bitgen_state, dfden) * dfnum));
 }
 
-double random_cauchy(bitgen_t *bitgen_state) {
+double random_standard_cauchy(bitgen_t *bitgen_state) {
   return random_standard_normal(bitgen_state) / random_standard_normal(bitgen_state);
 }
 
@@ -507,7 +507,7 @@ double random_rayleigh(bitgen_t *bitgen_state, double mode) {
   return mode * sqrt(-2.0 * log(1.0 - next_double(bitgen_state)));
 }
 
-double random_student_t(bitgen_t *bitgen_state, double df) {
+double random_standard_t(bitgen_t *bitgen_state, double df) {
   double num, denom;
 
   num = random_standard_normal(bitgen_state);