diff options
Diffstat (limited to 'numpy/random/mtrand.pyx')
| -rw-r--r-- | numpy/random/mtrand.pyx | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/numpy/random/mtrand.pyx b/numpy/random/mtrand.pyx index 42738aa6d..edf812a4d 100644 --- a/numpy/random/mtrand.pyx +++ b/numpy/random/mtrand.pyx @@ -19,8 +19,8 @@ from ._bounded_integers cimport (_rand_bool, _rand_int32, _rand_int64, from ._mt19937 import MT19937 as _MT19937 from numpy.random cimport bitgen_t from ._common cimport (POISSON_LAM_MAX, CONS_POSITIVE, CONS_NONE, - CONS_NON_NEGATIVE, CONS_BOUNDED_0_1, CONS_BOUNDED_GT_0_1, CONS_GTE_1, - CONS_GT_1, LEGACY_CONS_POISSON, + CONS_NON_NEGATIVE, CONS_BOUNDED_0_1, CONS_BOUNDED_GT_0_1, + CONS_BOUNDED_LT_0_1, CONS_GTE_1, CONS_GT_1, LEGACY_CONS_POISSON, double_fill, cont, kahan_sum, cont_broadcast_3, check_array_constraint, check_constraint, disc, discrete_broadcast_iii, validate_output_shape @@ -3956,7 +3956,7 @@ cdef class RandomState: Draw samples from a logarithmic series distribution. Samples are drawn from a log series distribution with specified - shape parameter, 0 < ``p`` < 1. + shape parameter, 0 <= ``p`` < 1. .. note:: New code should use the `~numpy.random.Generator.logseries` @@ -3966,7 +3966,7 @@ cdef class RandomState: Parameters ---------- p : float or array_like of floats - Shape parameter for the distribution. Must be in the range (0, 1). + Shape parameter for the distribution. Must be in the range [0, 1). size : int or tuple of ints, optional Output shape. If the given shape is, e.g., ``(m, n, k)``, then ``m * n * k`` samples are drawn. If size is ``None`` (default), @@ -4031,7 +4031,7 @@ cdef class RandomState: """ out = disc(&legacy_logseries, &self._bitgen, size, self.lock, 1, 0, - p, 'p', CONS_BOUNDED_0_1, + p, 'p', CONS_BOUNDED_LT_0_1, 0.0, '', CONS_NONE, 0.0, '', CONS_NONE) # Match historical output type |