/dports/misc/rump/buildrump.sh-b914579/src/sys/kern/ |
H A D | vfs_lookup.c | 534 struct componentname *cnp = state->cnp; in namei_getstartdir() local 623 struct componentname *cnp = state->cnp; in namei_ktrace() local 715 struct componentname *cnp = state->cnp; in namei_follow() local 822 struct componentname *cnp = state->cnp; in lookup_parsepath() local 840 cp = cnp->cn_nameptr + cnp->cn_namelen; in lookup_parsepath() 916 struct componentname *cnp = state->cnp; in lookup_once() local 1156 struct componentname *cnp = state->cnp; in namei_oneroot() local 1502 struct componentname *cnp = state->cnp; in namei_tryemulroot() local 1621 struct componentname *cnp = state->cnp; in do_lookup_for_nfsd_index() local 1638 cp = cnp->cn_nameptr + cnp->cn_namelen; in do_lookup_for_nfsd_index() [all …]
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/dports/polish/fortunepl/fortunes-pl-20091121/ |
H A D | cnp | 3 -- bolec@cnp 7 -- laska@cnp 11 -- bolec@cnp 15 -- laska@cnp 19 -- laska@cnp 23 -- łazuka@cnp 27 -- grucha@cnp 31 -- laska@cnp 36 -- laska@cnp 57 -- fred@cnp [all …]
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/dports/graphics/py-scikit-image/scikit-image-0.19.0/skimage/_shared/ |
H A D | fused_numerics.pxd | 1 cimport numpy as cnp namespace 5 cnp.int8_t 6 cnp.int16_t 7 cnp.int32_t 8 cnp.int64_t 11 cnp.uint8_t 12 cnp.uint16_t 13 cnp.uint32_t 14 cnp.uint64_t 21 cnp.float32_t [all …]
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/dports/science/py-dipy/dipy-1.4.1/dipy/tracking/ |
H A D | propspeed.pyx | 11 cimport numpy as cnp namespace 28 cnp.import_array() 31 def ndarray_offset(cnp.ndarray[cnp.npy_intp, ndim=1] indices, 32 cnp.ndarray[cnp.npy_intp, ndim=1] strides, 65 if not cnp.PyArray_CHKFLAGS(indices, cnp.NPY_ARRAY_C_CONTIGUOUS): 67 if not cnp.PyArray_CHKFLAGS(strides, cnp.NPY_ARRAY_C_CONTIGUOUS): 69 return offset(<cnp.npy_intp*> cnp.PyArray_DATA(indices), 70 <cnp.npy_intp*> cnp.PyArray_DATA(strides), 304 cnp.npy_intp *pstr = <cnp.npy_intp *> cnp.PyArray_STRIDES(qa) 305 cnp.npy_intp *qa_shape = <cnp.npy_intp *> cnp.PyArray_DIMS(qa) [all …]
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H A D | distances.pyx | 229 cnp.ndarray[cnp.float32_t, ndim=2] ref32 230 cnp.ndarray[cnp.float32_t, ndim=2] track 232 cnp.ndarray[cnp.float32_t, ndim=1] one_hit 234 cnp.ndarray[cnp.float32_t, ndim=2] hit_arr 430 cdef cnp.double_t *sum_track2others = <cnp.double_t *> cnp.PyArray_DATA(track2others) 442 cnp.ndarray [cnp.float32_t, ndim=2] t1, t2 515 cnp.ndarray[cnp.double_t, ndim=2] DM 598 cnp.ndarray[cnp.double_t, ndim=2] DM 1427 cdef cnp.ndarray[cnp.float32_t, ndim=2] a,b 1781 cnp.ndarray[cnp.float32_t, ndim=2] h [all …]
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/dports/science/py-dipy/dipy-1.4.1/dipy/segment/ |
H A D | mrf.pyx | 10 cimport numpy as cnp namespace 89 cnp.npy_intp i, j 90 cnp.npy_int16 s 317 cnp.npy_intp l = classid 318 cnp.npy_intp x, y, z 376 cnp.npy_intp l = classid 377 cnp.npy_intp x, y, z 538 cnp.npy_short best_class 587 cnp.npy_intp nneigh = 6 598 cnp.npy_short best_class [all …]
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/dports/science/py-dipy/dipy-1.4.1/dipy/align/ |
H A D | bundlemin.pyx | 7 cimport numpy as cnp namespace 50 cnp.npy_intp i=0, j=0 174 cnp.npy_intp i=0, j=0 286 cnp.npy_intp i=0, j=0 356 cnp.ndarray[cnp.double_t, ndim=2] DM 374 cnp.float64_t *t1_ptr 375 cnp.float64_t *t2_ptr 376 cnp.float64_t *min_buffer 379 cnp.ndarray [cnp.float64_t, ndim=2] t1, t2 386 t1_ptr = <cnp.float64_t *> cnp.PyArray_DATA(t1) [all …]
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H A D | vector_fields.pyx | 7 cimport numpy as cnp namespace 112 cnp.npy_intp i, j 313 cnp.npy_intp i, j, k 734 cnp.npy_intp i, j 938 cnp.npy_intp i, j 977 cnp.npy_intp i, j, k 2005 cnp.npy_intp i, j 2188 def create_harmonic_fields_2d(cnp.npy_intp nrows, cnp.npy_intp ncols, 2297 def create_circle(cnp.npy_intp nrows, cnp.npy_intp ncols, cnp.npy_intp radius): 2334 def create_sphere(cnp.npy_intp nslices, cnp.npy_intp nrows, [all …]
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/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/tsa/innovations/ |
H A D | _arma_innovations.pyx | 16 cimport numpy as cnp namespace 19 cnp.import_array() 71 …arma_transformed_acovf_fast(cnp.float32_t [:] ar, cnp.float32_t [:] ma, cnp.float32_t [:] arma_aco… 146 acovf = cnp.PyArray_ZEROS(2, dim2, cnp.NPY_FLOAT32, C) 233 v = cnp.PyArray_ZEROS(1, dim1, cnp.NPY_FLOAT32, C) 282 …arma_innovations_filter(cnp.float32_t [:] endog, cnp.float32_t [:] ar_params, cnp.float32_t [:] ma… 330 u = cnp.PyArray_ZEROS(1, dim1, cnp.NPY_FLOAT32, C) 393 ar = cnp.PyArray_ZEROS(1, dim1, cnp.NPY_FLOAT32, C) 395 ma = cnp.PyArray_ZEROS(1, dim1, cnp.NPY_FLOAT32, C) 416 …sarma_loglikeobs_fast(cnp.float32_t [:] endog, cnp.float32_t [:] ar_params, cnp.float32_t [:] ma_p… [all …]
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/dports/misc/rump/buildrump.sh-b914579/src/sys/fs/filecorefs/ |
H A D | filecore_lookup.c | 139 int nameiop = cnp->cn_nameiop; in filecore_lookup() 142 flags = cnp->cn_flags; in filecore_lookup() 156 (cnp->cn_nameiop == DELETE || cnp->cn_nameiop == RENAME)) in filecore_lookup() 166 if (cache_lookup(vdp, cnp->cn_nameptr, cnp->cn_namelen, in filecore_lookup() 167 cnp->cn_nameiop, cnp->cn_flags, NULL, vpp)) { in filecore_lookup() 171 name = cnp->cn_nameptr; in filecore_lookup() 172 namelen = cnp->cn_namelen; in filecore_lookup() 244 cache_enter(vdp, *vpp, cnp->cn_nameptr, cnp->cn_namelen, in filecore_lookup() 245 cnp->cn_flags); in filecore_lookup() 283 cache_enter(vdp, *vpp, cnp->cn_nameptr, cnp->cn_namelen, in filecore_lookup() [all …]
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/dports/finance/beanie/beanie-0.8.2/sales/ |
H A D | crnote.c | 151 static struct db_invoice *cnp = NULL; in creditnote() local 170 if (cnp == NULL) { in creditnote() 171 cnp = ip; in creditnote() 172 cnp->cninv_id = ip->id; in creditnote() 173 cnp->id = 0; in creditnote() 174 time((time_t *)&cnp->idate); in creditnote() 175 cnp->total = cnp->htotal = cnp->vatttl = cnp->shipping = 0.0; in creditnote() 176 cnp->state = INVOICE_STATE_NEW; in creditnote() 179 printf("CR #%d\n", cnp->id); in creditnote() 180 } else if (cnp->cninv_id != ip->id) in creditnote() [all …]
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/dports/misc/rump/buildrump.sh-b914579/src/sys/fs/adosfs/ |
H A D | adlookup.c | 85 cnp = sp->a_cnp; in adosfs_lookup() 90 ucp = cnp->cn_cred; in adosfs_lookup() 92 flags = cnp->cn_flags; in adosfs_lookup() 95 plen = cnp->cn_namelen; in adosfs_lookup() 105 (cnp->cn_nameiop == DELETE || cnp->cn_nameiop == RENAME)) in adosfs_lookup() 113 if (cache_lookup(vdp, cnp->cn_nameptr, cnp->cn_namelen, in adosfs_lookup() 114 cnp->cn_nameiop, cnp->cn_flags, NULL, vpp)) { in adosfs_lookup() 216 cache_enter(vdp, NULL, cnp->cn_nameptr, cnp->cn_namelen, in adosfs_lookup() 217 cnp->cn_flags); in adosfs_lookup() 249 cache_enter(vdp, *vpp, cnp->cn_nameptr, cnp->cn_namelen, in adosfs_lookup() [all …]
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/dports/science/py-scipy/scipy-1.7.1/scipy/sparse/ |
H A D | _csparsetools.pyx.in | 12 "int32": "cnp.npy_int32", 18 "int8": "cnp.npy_int8", 64 cimport numpy as cnp namespace 68 cnp.import_array() 73 cnp.npy_intp i, cnp.npy_intp j): 115 cpdef int lil_insert(cnp.npy_intp M, cnp.npy_intp N, object[:] rows, 116 object[:] datas, cnp.npy_intp i, cnp.npy_intp j, 199 def lil_fancy_get(cnp.npy_intp M, cnp.npy_intp N, 225 def _lil_fancy_get_{{NAME}}(cnp.npy_intp M, cnp.npy_intp N, 261 def lil_fancy_set(cnp.npy_intp M, cnp.npy_intp N, [all …]
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/dports/multimedia/libv4l/linux-5.13-rc2/drivers/target/iscsi/cxgbit/ |
H A D | cxgbit_cm.c | 87 p->cnp = cnp; in cxgbit_np_hash_add() 106 if (p->cnp == cnp) { in cxgbit_np_hash_find() 123 if (p->cnp == cnp) { in cxgbit_np_hash_del() 140 kfree(cnp); in _cxgbit_free_cnp() 434 cnp = kzalloc(sizeof(*cnp), GFP_KERNEL); in cxgbit_setup_np() 435 if (!cnp) in cxgbit_setup_np() 1237 if (!cnp) { in cxgbit_pass_accept_req() 1318 csk->cnp = cnp; in cxgbit_pass_accept_req() 1588 if (!cnp) { in cxgbit_pass_open_rpl() 1610 if (!cnp) { in cxgbit_close_listsrv_rpl() [all …]
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/dports/multimedia/v4l_compat/linux-5.13-rc2/drivers/target/iscsi/cxgbit/ |
H A D | cxgbit_cm.c | 87 p->cnp = cnp; in cxgbit_np_hash_add() 106 if (p->cnp == cnp) { in cxgbit_np_hash_find() 123 if (p->cnp == cnp) { in cxgbit_np_hash_del() 140 kfree(cnp); in _cxgbit_free_cnp() 434 cnp = kzalloc(sizeof(*cnp), GFP_KERNEL); in cxgbit_setup_np() 435 if (!cnp) in cxgbit_setup_np() 1237 if (!cnp) { in cxgbit_pass_accept_req() 1318 csk->cnp = cnp; in cxgbit_pass_accept_req() 1588 if (!cnp) { in cxgbit_pass_open_rpl() 1610 if (!cnp) { in cxgbit_close_listsrv_rpl() [all …]
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/dports/multimedia/v4l-utils/linux-5.13-rc2/drivers/target/iscsi/cxgbit/ |
H A D | cxgbit_cm.c | 87 p->cnp = cnp; in cxgbit_np_hash_add() 106 if (p->cnp == cnp) { in cxgbit_np_hash_find() 123 if (p->cnp == cnp) { in cxgbit_np_hash_del() 140 kfree(cnp); in _cxgbit_free_cnp() 434 cnp = kzalloc(sizeof(*cnp), GFP_KERNEL); in cxgbit_setup_np() 435 if (!cnp) in cxgbit_setup_np() 1237 if (!cnp) { in cxgbit_pass_accept_req() 1318 csk->cnp = cnp; in cxgbit_pass_accept_req() 1588 if (!cnp) { in cxgbit_pass_open_rpl() 1610 if (!cnp) { in cxgbit_close_listsrv_rpl() [all …]
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/dports/biology/py-biom-format/biom-format-2.1.10/biom/ |
H A D | _subsample.pyx | 12 cimport numpy as cnp namespace 36 cnp.int64_t counts_sum 37 cnp.ndarray[cnp.float64_t, ndim=1] data = arr.data 38 cnp.ndarray[cnp.int32_t, ndim=1] data_i = arr.data.astype(np.int32) 39 cnp.ndarray[cnp.float64_t, ndim=1] result 40 cnp.ndarray[cnp.int32_t, ndim=1] indices = arr.indices 41 cnp.ndarray[cnp.int32_t, ndim=1] indptr = arr.indptr 42 cnp.ndarray[cnp.int32_t, ndim=1] permuted, unpacked, r 43 cnp.float64_t cnt
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H A D | _filter.pyx | 16 cimport numpy as cnp namespace 19 cdef cnp.ndarray[cnp.uint8_t, ndim=1] \ 32 cnp.ndarray[cnp.float64_t, ndim=1] data = arr.data, \ 34 cnp.ndarray[cnp.int32_t, ndim=1] indptr = arr.indptr, \ 36 cnp.ndarray[cnp.uint8_t, ndim=1] bools = \ 38 cnp.int32_t start, end 60 cdef _remove_rows_csr(arr, cnp.ndarray[cnp.uint8_t, ndim=1] booleans): 65 cdef cnp.ndarray[cnp.int32_t, ndim=1] indptr = arr.indptr 66 cdef cnp.ndarray[cnp.int32_t, ndim=1] indices = arr.indices 67 cdef cnp.ndarray[cnp.float64_t, ndim=1] data = arr.data [all …]
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/dports/science/py-dipy/dipy-1.4.1/dipy/reconst/ |
H A D | recspeed.pyx | 11 cimport numpy as cnp namespace 27 cnp.import_array() 84 cnp.ndarray[cnp.float_t, ndim=2, mode='c'] unique_vertices 85 cnp.ndarray[cnp.uint16_t, ndim=1, mode='c'] mapping 86 cnp.ndarray[cnp.uint16_t, ndim=1, mode='c'] index 237 cnp.ndarray[cnp.npy_intp] wpeak 495 cnp.ndarray[cnp.float64_t, ndim=1] cvals = vals 496 cnp.ndarray[cnp.uint32_t, ndim=1] cvertinds = vertinds 498 cnp.ndarray[cnp.uint32_t, ndim=1] cadj_inds = adj_inds 517 vals_ptr = <cnp.float64_t *> cnp.PyArray_DATA(cvals) [all …]
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/dports/math/py-pandas/pandas-1.2.5/pandas/_libs/ |
H A D | util.pxd | 1 cimport numpy as cnp namespace 33 cnp.int8_t 34 cnp.int16_t 35 cnp.int32_t 36 cnp.int64_t 38 cnp.uint8_t 39 cnp.uint16_t 40 cnp.uint32_t 41 cnp.uint64_t 43 cnp.float32_t [all …]
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/dports/math/py-pyodesys/pyodesys-0.14.1/pyodesys/native/sources/ |
H A D | _gsl_wrapper.pyx | 14 cimport numpy as cnp namespace 37 def integrate_adaptive(cnp.ndarray[cnp.float64_t, ndim=2, mode='c'] y0, 38 cnp.ndarray[cnp.float64_t, ndim=1, mode='c'] x0, 39 cnp.ndarray[cnp.float64_t, ndim=1, mode='c'] xend, 51 cnp.ndarray[cnp.float64_t, ndim=1, mode='c'] _dx0 52 cnp.ndarray[cnp.float64_t, ndim=1, mode='c'] _dx_min 53 cnp.ndarray[cnp.float64_t, ndim=1, mode='c'] _dx_max 123 cnp.ndarray[cnp.float64_t, ndim=3, mode='c'] yout 125 cnp.ndarray[cnp.float64_t, ndim=1, mode='c'] _dx0 126 cnp.ndarray[cnp.float64_t, ndim=1, mode='c'] _dx_min [all …]
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H A D | _odeint_wrapper.pyx | 14 cimport numpy as cnp namespace 37 def integrate_adaptive(cnp.ndarray[cnp.float64_t, ndim=2, mode='c'] y0, 38 cnp.ndarray[cnp.float64_t, ndim=1, mode='c'] x0, 39 cnp.ndarray[cnp.float64_t, ndim=1, mode='c'] xend, 40 cnp.ndarray[cnp.float64_t, ndim=2, mode='c'] params, 52 cnp.ndarray[cnp.float64_t, ndim=1, mode='c'] _dx0 53 cnp.ndarray[cnp.float64_t, ndim=1, mode='c'] _dx_max 104 def integrate_predefined(cnp.ndarray[cnp.float64_t, ndim=2, mode='c'] y0, 116 cnp.ndarray[cnp.float64_t, ndim=3, mode='c'] yout 118 cnp.ndarray[cnp.float64_t, ndim=1, mode='c'] _dx0 [all …]
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/dports/graphics/py-scikit-image/scikit-image-0.19.0/skimage/io/_plugins/ |
H A D | _colormixer.pyx | 17 cnp.import_array() 20 def add(cnp.ndarray[cnp.uint8_t, ndim=3] img, 21 cnp.ndarray[cnp.uint8_t, ndim=3] stateimg, 66 def multiply(cnp.ndarray[cnp.uint8_t, ndim=3] img, 67 cnp.ndarray[cnp.uint8_t, ndim=3] stateimg, 112 def brightness(cnp.ndarray[cnp.uint8_t, ndim=3] img, 113 cnp.ndarray[cnp.uint8_t, ndim=3] stateimg, 158 def sigmoid_gamma(cnp.ndarray[cnp.uint8_t, ndim=3] img, 185 def gamma(cnp.ndarray[cnp.uint8_t, ndim=3] img, 186 cnp.ndarray[cnp.uint8_t, ndim=3] stateimg, [all …]
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/dports/graphics/py-scikit-image/scikit-image-0.19.0/skimage/morphology/ |
H A D | _grayreconstruct.pyx | 11 cimport numpy as cnp namespace 13 cnp.import_array() 17 def reconstruction_loop(cnp.ndarray[dtype=cnp.uint32_t, ndim=1, 19 cnp.ndarray[dtype=cnp.int32_t, ndim=1, 21 cnp.ndarray[dtype=cnp.int32_t, ndim=1, 23 cnp.ndarray[dtype=cnp.int32_t, ndim=1, 55 cdef cnp.uint32_t *ranks = <cnp.uint32_t *>(aranks.data) 56 cdef cnp.int32_t *prev = <cnp.int32_t *>(aprev.data) 57 cdef cnp.int32_t *next = <cnp.int32_t *>(anext.data) 58 cdef cnp.int32_t *strides = <cnp.int32_t *>(astrides.data)
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/dports/graphics/py-scikit-image/scikit-image-0.19.0/skimage/future/graph/ |
H A D | _ncut_cy.pyx | 5 cimport numpy as cnp namespace 7 cnp.import_array() 9 def argmin2(cnp.double_t[:] array): 22 cdef cnp.float64_t min1 = np.inf 23 cdef cnp.float64_t min2 = np.inf 60 cdef cnp.ndarray[cnp.uint8_t, cast = True] cut_mask = np.array(cut) 62 cdef cnp.int32_t row, col 63 cdef cnp.int32_t[:] indices = W.indices 64 cdef cnp.int32_t[:] indptr = W.indptr 66 cdef cnp.int32_t row_index [all …]
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