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/dports/misc/rump/buildrump.sh-b914579/src/sys/kern/
H A Dvfs_lookup.c534 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 …]
/dports/polish/fortunepl/fortunes-pl-20091121/
H A Dcnp3 -- 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 …]
/dports/graphics/py-scikit-image/scikit-image-0.19.0/skimage/_shared/
H A Dfused_numerics.pxd1 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
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/dports/science/py-dipy/dipy-1.4.1/dipy/tracking/
H A Dpropspeed.pyx11 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 …]
H A Ddistances.pyx229 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 …]
/dports/science/py-dipy/dipy-1.4.1/dipy/segment/
H A Dmrf.pyx10 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
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/dports/science/py-dipy/dipy-1.4.1/dipy/align/
H A Dbundlemin.pyx7 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 …]
H A Dvector_fields.pyx7 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,
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/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/tsa/innovations/
H A D_arma_innovations.pyx16 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…
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/dports/misc/rump/buildrump.sh-b914579/src/sys/fs/filecorefs/
H A Dfilecore_lookup.c139 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()
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/dports/finance/beanie/beanie-0.8.2/sales/
H A Dcrnote.c151 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()
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/dports/misc/rump/buildrump.sh-b914579/src/sys/fs/adosfs/
H A Dadlookup.c85 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()
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/dports/science/py-scipy/scipy-1.7.1/scipy/sparse/
H A D_csparsetools.pyx.in12 "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 …]
/dports/multimedia/libv4l/linux-5.13-rc2/drivers/target/iscsi/cxgbit/
H A Dcxgbit_cm.c87 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 …]
/dports/multimedia/v4l_compat/linux-5.13-rc2/drivers/target/iscsi/cxgbit/
H A Dcxgbit_cm.c87 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 …]
/dports/multimedia/v4l-utils/linux-5.13-rc2/drivers/target/iscsi/cxgbit/
H A Dcxgbit_cm.c87 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 …]
/dports/biology/py-biom-format/biom-format-2.1.10/biom/
H A D_subsample.pyx12 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
H A D_filter.pyx16 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 …]
/dports/science/py-dipy/dipy-1.4.1/dipy/reconst/
H A Drecspeed.pyx11 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 …]
/dports/math/py-pandas/pandas-1.2.5/pandas/_libs/
H A Dutil.pxd1 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 …]
/dports/math/py-pyodesys/pyodesys-0.14.1/pyodesys/native/sources/
H A D_gsl_wrapper.pyx14 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 …]
H A D_odeint_wrapper.pyx14 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 …]
/dports/graphics/py-scikit-image/scikit-image-0.19.0/skimage/io/_plugins/
H A D_colormixer.pyx17 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 …]
/dports/graphics/py-scikit-image/scikit-image-0.19.0/skimage/morphology/
H A D_grayreconstruct.pyx11 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)
/dports/graphics/py-scikit-image/scikit-image-0.19.0/skimage/future/graph/
H A D_ncut_cy.pyx5 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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