numpy/random/_common.pyx

73     cdef np.ndarray randoms
92     randoms = <np.ndarray>np.empty(size, np.uint64)
93     randoms_data = <uint64_t*>np.PyArray_DATA(randoms)
94     n = np.PyArray_SIZE(randoms)
99     return randoms
401     cdef np.ndarray randoms
412         randoms = <np.ndarray>np.empty(size, np.double)
414 …      randoms = np.PyArray_SimpleNew(np.PyArray_NDIM(a_arr), np.PyArray_DIMS(a_arr), np.NPY_DOUBLE)
416         randoms = <np.ndarray>out
418     randoms_data = <double *>np.PyArray_DATA(randoms)
419     n = np.PyArray_SIZE(randoms)
420     it = np.PyArray_MultiIterNew2(randoms, a_arr)
421     validate_output_shape(it.shape, randoms)
430     return randoms
435     cdef np.ndarray randoms
449         randoms = <np.ndarray>np.empty(size, np.double)
452         randoms = <np.ndarray>np.empty(it.shape, np.double)
455     randoms_data = <double *>np.PyArray_DATA(randoms)
456     n = np.PyArray_SIZE(randoms)
458     it = np.PyArray_MultiIterNew3(randoms, a_arr, b_arr)
459     validate_output_shape(it.shape, randoms)
469     return randoms
475     cdef np.ndarray randoms
492         randoms = <np.ndarray>np.empty(size, np.double)
496         randoms = <np.ndarray>np.empty(it.shape, np.double)
498     randoms_data = <double *>np.PyArray_DATA(randoms)
499     n = np.PyArray_SIZE(randoms)
501     it = np.PyArray_MultiIterNew4(randoms, a_arr, b_arr, c_arr)
502     validate_output_shape(it.shape, randoms)
513     return randoms
575     cdef np.ndarray randoms
577         randoms = <np.ndarray>np.empty(size)
579         randoms = <np.ndarray>out
580     n = np.PyArray_SIZE(randoms)
582     cdef double *randoms_data = <double *>np.PyArray_DATA(randoms)
607         return randoms
614     cdef np.ndarray randoms
624         randoms = np.empty(size, np.int64)
627         randoms = np.PyArray_SimpleNew(np.PyArray_NDIM(a_arr), np.PyArray_DIMS(a_arr), np.NPY_INT64)
629     randoms_data = <int64_t *>np.PyArray_DATA(randoms)
630     n = np.PyArray_SIZE(randoms)
632     it = np.PyArray_MultiIterNew2(randoms, a_arr)
633     validate_output_shape(it.shape, randoms)
642     return randoms
647     cdef np.ndarray randoms
659         randoms = <np.ndarray>np.empty(size, np.int64)
662         randoms = <np.ndarray>np.empty(it.shape, np.int64)
665     randoms_data = <int64_t *>np.PyArray_DATA(randoms)
666     n = np.PyArray_SIZE(randoms)
668     it = np.PyArray_MultiIterNew3(randoms, a_arr, b_arr)
669     validate_output_shape(it.shape, randoms)
679     return randoms
684     cdef np.ndarray randoms
697         randoms = <np.ndarray>np.empty(size, np.int64)
700         randoms = <np.ndarray>np.empty(it.shape, np.int64)
702     randoms_data = <int64_t *>np.PyArray_DATA(randoms)
703     n = np.PyArray_SIZE(randoms)
705     it = np.PyArray_MultiIterNew3(randoms, a_arr, b_arr)
706     validate_output_shape(it.shape, randoms)
716     return randoms
722     cdef np.ndarray randoms
738         randoms = <np.ndarray>np.empty(size, np.int64)
741         randoms = <np.ndarray>np.empty(it.shape, np.int64)
743     randoms_data = <int64_t *>np.PyArray_DATA(randoms)
744     n = np.PyArray_SIZE(randoms)
746     it = np.PyArray_MultiIterNew4(randoms, a_arr, b_arr, c_arr)
747     validate_output_shape(it.shape, randoms)
758     return randoms
762     cdef np.ndarray randoms
772         randoms = <np.ndarray>np.empty(size, np.int64)
774         randoms = np.PyArray_SimpleNew(np.PyArray_NDIM(a_arr), np.PyArray_DIMS(a_arr), np.NPY_INT64)
776     randoms_data = <int64_t *>np.PyArray_DATA(randoms)
777     n = np.PyArray_SIZE(randoms)
779     it = np.PyArray_MultiIterNew2(randoms, a_arr)
780     validate_output_shape(it.shape, randoms)
789     return randoms
886     cdef np.ndarray randoms = <np.ndarray>np.empty(size, np.int64)
895     n = np.PyArray_SIZE(randoms)
896     randoms_data = <np.int64_t *>np.PyArray_DATA(randoms)
926     return randoms
933     cdef np.ndarray randoms
944         randoms = <np.ndarray>np.empty(size, np.float32)
946         randoms = np.PyArray_SimpleNew(np.PyArray_NDIM(a_arr),
950         randoms = <np.ndarray>out
952     randoms_data = <float *>np.PyArray_DATA(randoms)
953     n = np.PyArray_SIZE(randoms)
954     it = np.PyArray_MultiIterNew2(randoms, a_arr)
955     validate_output_shape(it.shape, randoms)
964     return randoms
990     cdef np.ndarray randoms
992         randoms = <np.ndarray>np.empty(size, np.float32)
994         randoms = <np.ndarray>out
995     n = np.PyArray_SIZE(randoms)
997     cdef float *randoms_data = <float *>np.PyArray_DATA(randoms)
1005         return randoms