Home
last modified time | relevance | path

Searched +refs:p +refs:delete +refs:zeros (Results 1 – 25 of 4097) sorted by relevance

12345678910>>...164

/dports/science/py-GPy/GPy-1.10.0/GPy/util/
H A Dcluster_with_offset.py27 X = np.zeros([0,1])
28 Y = np.zeros([0,S])
32 for p in clust:
68 Y = np.zeros([0,S])
74 for i,p in enumerate(clust):
111 for p in range(0,N):
112 active.append([p])
114 loglikes = np.zeros(len(active))
164 pairloglikes = np.delete(pairloglikes,top[1],0)
165 pairloglikes = np.delete(pairloglikes,top[1],1)
[all …]
/dports/science/py-obspy/obspy-1.2.2/obspy/signal/
H A D_sosfilt.py316 p = np.concatenate((p, np.zeros(max(len(z) - len(p), 0))))
317 z = np.concatenate((z, np.zeros(max(len(p) - len(z), 0))))
319 sos = np.zeros((n_sections, 6))
329 p = np.concatenate(_cplxreal(p))
331 p_sos = np.zeros((n_sections, 2), np.complex128)
337 p = np.delete(p, p1_idx)
345 z = np.delete(z, z1_idx)
357 z = np.delete(z, z1_idx)
369 z = np.delete(z, z2_idx)
387 z = np.delete(z, z2_idx)
[all …]
/dports/cad/sumo/sumo-1.2.0/tools/contributed/sumopy/coremodules/network/
H A Dpublictransportnet_wxgui.py39 self.delete('offsets')
40 self.delete('widths')
41 self.delete('lengths')
42 self.delete('rotangles_xy')
93 offsets = np.zeros((n, 3), np.float32)
94 coords_to = np.zeros((n, 3), np.float32)
126 zeros = np.zeros(n, np.float32)
127 vertices = np.zeros((n, 4, 3), np.float32)
131 vertices_rot = rotate_vertices(widths, zeros,
341 p = pt.StopAccessProvider(self._net, logger=self._mainframe.get_logger())
[all …]
/dports/science/lamprop/lamprop-2020.12.28/lp/
H A Dmatrix.py24 def zeros(num): function
35 c = zeros(s)
59 for p in range(k - 1, -1, -1):
64 copy[p][j] = 0.0
79 res = zeros(s)
91 res = zeros(s)
102 res = zeros(s)
112 r = zeros(s)
119 def delete(m, r, k): function
150 for p in range(k + 1, size):
[all …]
/dports/science/py-GPyOpt/GPyOpt-1.2.6/GPyOpt/util/
H A Depmgp.py75 logP = np.zeros(mu.shape)
125 logS = np.zeros((D - 1,))
127 MP = np.zeros((D - 1,))
130 P = np.zeros((D - 1,))
170 C = np.delete(C, k, 1)
211 def lt_factor(s, l, M, V, mp, p, gamma): argument
216 cVnic = np.max([cVc / (1 - p * cVc), 0])
217 cmni = cM + cVnic * (p * cM - mp)
233 dp = np.max([-p + eps, gamma * (pnew - p)]) # at worst, remove message
237 pnew = p + dp
[all …]
/dports/cad/py-pyfda/pyfda-0.1rc6/pyfda/
H A Dpyfda_lib.py413 p = np.asarray(p)
542 p,indx = cmplx_sort(p)
650 impulse = np.zeros(N)
1053 p = np.zeros(len(z))
1078 a = np.zeros(len(b))
1101 a = np.append(a, np.zeros(D))
1104 b = np.append(b, np.zeros(-D)) # make filter causal, fill up b with zeros
1153 fil_dict['zpk'][0] = np.delete(fil_dict['zpk'][0],z_0)
1154 fil_dict['zpk'][1] = np.delete(fil_dict['zpk'][1],p_0)
1164 fil_dict['ba'][0] = np.delete(fil_dict['ba'][0],-1)
[all …]
/dports/science/py-scikit-fuzzy/scikit-fuzzy-0.4.2/skfuzzy/fuzzymath/
H A Dfuzzy_ops.py213 z, mfz = np.zeros(0), np.zeros(0)
317 np.delete(y, index)
318 np.delete(b, index)
489 p = r.shape[1]
490 t = np.zeros((m, p))
492 for pp in range(p):
521 p = r.shape[1]
522 t = np.zeros((m, p))
525 for pp in range(p):
/dports/finance/myphpmoney/myphpmoney-1.3RC3/public_html/inc/
H A Dfunction.inc230 # delete leading zeros
245 # delete trailing zeros
258 # delete trailing zeros
339 # delete trailing zeros
345 # delete leading zeros
382 # delete leading zeros
392 # delete trailing zeros
405 # delete trailing zeros
479 # delete trailing zeros
485 # delete leading zeros
[all …]
/dports/science/py-gpaw/gpaw-21.6.0/gpaw/response/
H A Dbse.py534 chi0_wGG = np.zeros((1, nG, nG), complex)
537 chi0_wvv = np.zeros((1, 3, 3), complex)
564 einv_GG = np.zeros((nG, nG), complex)
657 self.H_SS = np.delete(self.H_SS, self.excludef_S, axis=0)
658 self.H_SS = np.delete(self.H_SS, self.excludef_S, axis=1)
661 self.df_S = np.delete(self.df_S, self.excludef_S)
662 self.rhoG0_S = np.delete(self.rhoG0_S, self.excludef_S)
679 H_tmp = desc2.zeros(dtype=complex)
688 self.v_St = desc.zeros(dtype=complex)
739 vchi_w = np.zeros(len(w_w), dtype=complex)
[all …]
/dports/science/py-scipy/scipy-1.7.1/scipy/optimize/
H A D_remove_redundancy.py97 LU, p = plu
105 return LU, p
164 A = np.zeros((m, m + n), order='F')
167 e = np.zeros(m)
197 LU, p = lu
199 for i1, i2 in enumerate(p):
293 e = np.zeros(m)
445 A = np.delete(A, i_remove, axis=0)
446 b = np.delete(b, i_remove)
/dports/comms/gnuradio/gnuradio-3.8.4.0/gr-fec/python/fec/polar/
H A Dtestbed.py49 frozenbits = np.zeros(n - k)
90 res = np.zeros(llrs.size)
104 frozenbits = np.zeros(n - k)
109 channel_counter = np.zeros(k)
128 good_indices = np.zeros(channel_counter.size)
146 frozen_bit_positions = np.delete(np.arange(channel_counter.size), info_bit_positions)
241 lock_mask = np.zeros(block_size, dtype=int)
256 l0 = lock[p]
257 l1 = lock[p + 1]
258 first = mask[p]
[all …]
/dports/science/dynare/dynare-4.6.4/matlab/particles/src/
H A DSMC_samplers_initialization.m10 % o xparam1 [double] (p*1) vector of parameters to be estimated (initial values).
11 % o mh_bounds [double] (p*2) matrix defining lower and upper bounds for the parameters.
74 % delete([BaseName '_dsmh*_blck*.mat']);
80 % delete([ MetropolisFolder '/dsmh.log']);
95 ix2 = zeros(npar,NumberOfParticles);
96 temperedlogpost = zeros(NumberOfParticles,1);
97 loglik = zeros(NumberOfParticles,1);
H A DDSMH_initialization.m10 % o xparam1 [double] (p*1) vector of parameters to be estimated (initial values).
11 % o mh_bounds [double] (p*2) matrix defining lower and upper bounds for the parameters.
75 % delete([BaseName '_dsmh*_blck*.mat']);
81 % delete([ MetropolisFolder '/dsmh.log']);
96 ix2 = zeros(npar,NumberOfParticles);
97 temperedlogpost = zeros(NumberOfParticles,1);
98 loglik = zeros(NumberOfParticles,1);
/dports/archivers/gtar/tar-1.34/tests/
H A Ddelete02.at24 AT_KEYWORDS([delete delete02])
27 genfile -l 3073 -p zeros --file 1
32 cat archive | tar f - --delete 2 > archive2
/dports/graphics/py-scikit-image/scikit-image-0.19.0/skimage/_shared/
H A Dcoord.py33 indices = tree.query_ball_point(coord, r=spacing, p=p_norm)
43 p=p_norm).reshape(-1)
54 output = np.delete(coord, tuple(rejected_peaks_indices), axis=0)
114 output = np.zeros((0, coords.shape[1]), dtype=coords.dtype)
/dports/cad/py-pyfda/pyfda-0.1rc6/pyfda/input_widgets/
H A Dfilter_pz.py499 self.zpk[0] = np.delete(self.zpk[0], Z)
500 self.zpk[1] = np.delete(self.zpk[1], P)
505 self.zpk[1] = np.append(self.zpk[1], np.zeros(D))
507 self.zpk[0] = np.append(self.zpk[0], np.zeros(-D))
526 self.zpk[0] = np.insert(self.zpk[0], row, np.zeros(sel))
527 self.zpk[1] = np.insert(self.zpk[1], row, np.zeros(sel))
558 for p in range(len(self.zpk[1])-1, -1, -1):
559 if np.isclose(self.zpk[0][z], self.zpk[1][p], rtol = eps, atol = 1e-08):
560 self.zpk[0] = np.delete(self.zpk[0], z)
561 self.zpk[1] = np.delete(self.zpk[1], p)
/dports/math/reduce/Reduce-svn5758-src/packages/algint/
H A Dcoates.red250 % on the remaining zeros/poles.
288 fz:=delete(zfound,fz);
328 scalar m,p;
332 p:=(car pzero).p;
346 scalar m,p;
348 p:=ppole;
350 p:=cdr p;
387 % else interr "Removezero") delete(place,l)
465 delete(assoc(uu,car sqrtsavelist),
467 delete(u,cdr sqrtsavelist)>>;
[all …]
/dports/math/py-numpy/numpy-1.20.3/numpy/lib/tests/
H A Dtest_function_base.py813 a_del = delete(self.a, indices)
833 delete(self.a, [100])
835 delete(self.a, [-100])
843 delete(self.a, True)
845 delete(self.a, False)
849 delete(self.a, [False]*4)
858 delete(a, [], axis=0)
1207 arr = np.zeros(0)
3035 o = np.zeros(())
3166 p = p.tolist()
[all …]
/dports/science/py-scipy/scipy-1.7.1/scipy/signal/
H A Dfilter_design.py1243 p = np.zeros(n_sections*2, np.complex128)
1439 p = np.concatenate((p, np.zeros(max(len(z) - len(p), 0))))
1440 z = np.concatenate((z, np.zeros(max(len(p) - len(z), 0))))
1460 p = np.delete(p, p1_idx)
1468 z = np.delete(z, z1_idx)
1480 z = np.delete(z, z1_idx)
1492 z = np.delete(z, z2_idx)
1510 z = np.delete(z, z2_idx)
1511 p = np.delete(p, p2_idx)
5188 b = np.zeros(N + 1)
[all …]
H A Dltisys.py1000 def zeros(self, zeros): member in ZerosPolesGain
1039 self.zeros = system.zeros
2696 for p in poles:
2697 if sum(p == poles) > r:
2731 if np.conj(p) in poles:
2732 im_poles.extend((p, np.conj(p)))
2751 transfer_matrix_not_j = np.delete(transfer_matrix, j, axis=1)
2996 transfer_matrix_not_i_j = np.delete(transfer_matrix, (i, j),
3273 p = poles[idx]
3274 diag_poles[idx, idx] = np.real(p)
[all …]
/dports/misc/mxnet/incubator-mxnet-1.9.0/example/ssd/evaluate/
H A Deval_metric.py138 pred = np.delete(pred, indices, axis=0)
141 pred = np.delete(pred, indices, axis=0)
144 records = np.hstack((dets[:, 1][:, np.newaxis], np.zeros((dets.shape[0], 1))))
148 label = np.delete(label, label_indices, axis=0)
191 label = np.delete(label, label_indices, axis=0)
216 record = np.delete(record, np.where(record[:, 1].astype(int) == 0)[0], axis=0)
291 p = 0
293 p = np.max(prec[rec >= t])
294 ap += p / 11.
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/ssd/evaluate/
H A Deval_metric.py138 pred = np.delete(pred, indices, axis=0)
141 pred = np.delete(pred, indices, axis=0)
144 records = np.hstack((dets[:, 1][:, np.newaxis], np.zeros((dets.shape[0], 1))))
148 label = np.delete(label, label_indices, axis=0)
191 label = np.delete(label, label_indices, axis=0)
216 record = np.delete(record, np.where(record[:, 1].astype(int) == 0)[0], axis=0)
291 p = 0
293 p = np.max(prec[rec >= t])
294 ap += p / 11.
/dports/science/qmcpack/qmcpack-3.11.0/nexus/lib/
H A Dgaussian_process.py266 Dm = np.zeros([n,n])
424 K = np.zeros([n,m])
638 best_E = np.delete(best_E,us_ind[1:us_ind.shape[0],0],0)
639 best_pos = np.delete(best_pos,us_ind[1:us_ind.shape[0],0],0)
640 ind_T = np.delete(ind_T,us_ind[1:us_ind.shape[0],0],0)
653 best_E = np.delete(best_E,us_ind[1:us_ind.shape[0],0],0)
654 best_pos = np.delete(best_pos,us_ind[1:us_ind.shape[0],0],0)
688 best_E = np.delete(best_E,us_ind[1:us_ind.shape[0],0],0)
818 E_parm = np.zeros(3)
1807 for p in P:
[all …]
/dports/math/octave-forge-statistics/statistics-1.4.3/inst/
H A Drunstest.m17 ## @deftypefn {Function File} {@var{h}, @var{p}, @var{stats} =} runstest (@var{x}, @var{v})
35 ## @var{p} is the probablity of obtaining a test statistic of the magnitude found under the null hy…
41 ## Note: the large-sample normal approximation is used to find @var{h} and @var{p}. This is accurat…
52 function [h, p, stats] = runstest (x, x2)
65 x = x(~isnan(x)); #delete missing values
67 x = x(x ~= 0); #delete any zeros
84 p = 2 * normcdf(-abs(Z)); variable
86 h = p < alpha;
101 %! [h, p, stats] = runstest (data);
106 %! assert (p, expected_p, 1E-6);
/dports/science/dynare/dynare-4.6.4/matlab/
H A Dhessian.m19 % and 25.3.27 p. 884
59 f1 = zeros(size(f0, 1), n);
76 hessian_mat = zeros(size(f0,1), n*n);
110 %$ fprintf(fid,' g = zeros(2,1);\\n');
115 %$ fprintf(fid,' H = zeros(2,2);\\n');
126 %$ t = zeros(5,1);
140 %$ delete('exfun.m');

12345678910>>...164