Home
last modified time | relevance | path

Searched refs:hstack (Results 1 – 25 of 1233) sorted by relevance

12345678910>>...50

/dports/biology/tRNAscan-SE/tRNAscan-SE-2.0/src/
H A Dscorestack.c120 if (hstack == NULL) hstack = init_hitstack(); in ReportScanHit()
141 free_hitstack(hstack); in ReportScanHit()
142 hstack = NULL; in ReportScanHit()
149 hstack = init_hitstack(); in ReportScanHit()
196 struct hitstack_s *hstack; in init_hitstack() local
200 hstack->nxt = NULL; in init_hitstack()
201 return hstack; in init_hitstack()
218 new->nxt = hstack->nxt; in push_hitstack()
219 hstack->nxt = new; in push_hitstack()
232 hstack->nxt = old->nxt; in pop_hitstack()
[all …]
/dports/math/cgal/CGAL-5.3/include/CGAL/
H A Dhalfedgeds_connected_components.h32 std::vector< Halfedge_handle> hstack; in halfedgeds_connected_components() local
33 hstack.reserve( hds.size_of_halfedges() + 3/ 4); in halfedgeds_connected_components()
37 hstack.clear(); in halfedgeds_connected_components()
38 hstack.push_back( scan); in halfedgeds_connected_components()
39 while ( ! hstack.empty()) { in halfedgeds_connected_components()
40 Halfedge_handle h = hstack.back(); in halfedgeds_connected_components()
41 hstack.pop_back(); in halfedgeds_connected_components()
44 hstack.push_back( h->next()); in halfedgeds_connected_components()
45 hstack.push_back( h->opposite()); in halfedgeds_connected_components()
/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/tsa/tests/results/
H A Dresults_ar.py104 self.FVOLSn200start200 = np.hstack((fv[200-9:], pv[:101-9]))
108 self.FVOLSn100start325 = np.hstack((fv[-1], pv))
110 self.FVOLSn301start9 = np.hstack((fv, pv[:2]))
114 self.FVOLSn4start312 = np.hstack((fv[-1], pv[:8]))
116 self.FVOLSn15start312 = np.hstack((fv[-1], pv[:19]))
158 self.FVOLSn200start200 = np.hstack((fv[200-9:], pv[:101-9]))
162 self.FVOLSn100start325 = np.hstack((fv[-1], pv))
164 self.FVOLSn301start9 = np.hstack((fv, pv[:2]))
168 self.FVOLSn4start312 = np.hstack((fv[-1], pv[:8]))
170 self.FVOLSn15start312 = np.hstack((fv[-1], pv[:19]))
/dports/science/py-pyscf/pyscf-2.0.1/pyscf/tdscf/test/
H A Dtest_tduks.py160 x = numpy.hstack((xa.ravel(), xb.ravel()))
161 y = numpy.hstack((ya.ravel(), yb.ravel()))
162 xy = numpy.hstack((x, y))
190 ab12 = numpy.hstack((ab1.ravel(),ab2.ravel()))
206 x = numpy.hstack((xa.ravel(), xb.ravel()))
207 y = numpy.hstack((ya.ravel(), yb.ravel()))
208 xy = numpy.hstack((x, y))
236 ab12 = numpy.hstack((ab1.ravel(),ab2.ravel()))
252 x = numpy.hstack((xa.ravel(), xb.ravel()))
253 y = numpy.hstack((ya.ravel(), yb.ravel()))
[all …]
/dports/math/py-pynleq2/pysces-0.9.8/pysces/core2/
H A DPyscesCore2Modules.py281 output = numpy.hstack((output, self.rules))
287 output = numpy.hstack((output, self.xdata))
545 output = numpy.hstack((self.time, self.rates))
560 output = numpy.hstack((self.time, self.rules))
612 output = numpy.hstack((output,sp))
614 output = numpy.hstack((output,ra))
616 output = numpy.hstack((output,ru))
618 output = numpy.hstack((output,xd))
675 output = numpy.hstack((output, self.rates))
678 output = numpy.hstack((output, self.rules))
[all …]
/dports/biology/py-PySCeS/pysces-1.0.0/pysces/core2/
H A DPyscesCore2Modules.py622 output = numpy.hstack((output, sp))
624 output = numpy.hstack((output, ra))
626 output = numpy.hstack((output, ru))
628 output = numpy.hstack((output, xd))
685 output = numpy.hstack((output, self.rates))
688 output = numpy.hstack((output, self.rules))
691 output = numpy.hstack((output, self.xdata))
712 output = numpy.hstack(
720 output = numpy.hstack(
725 output = numpy.hstack(
[all …]
/dports/math/py-cvxpy/cvxpy-1.1.17/cvxpy/reductions/cone2cone/
H A Dexotic2common.py19 from cvxpy.atoms.affine.hstack import hstack
70 x_3d = hstack(x_3d)
71 y_3d = hstack(y_3d)
72 z_3d = hstack(z_3d)
73 alpha_p3d = hstack(alpha_3d)
/dports/math/py-cvxpy/cvxpy-1.1.17/cvxpy/reductions/dgp2dcp/atom_canonicalizers/
H A Dadd_canon.py2 from cvxpy.atoms.affine.hstack import hstack
10 return log_sum_exp(hstack(args)), []
19 log_sum_exp(hstack([summand[i] for summand in summands])))
27 log_sum_exp(hstack([summand[i, j] for summand in summands])))
H A Dpnorm_canon.py1 from cvxpy.atoms.affine.hstack import hstack
15 return (1.0/p) * log_sum_exp(hstack([xi ** p for xi in x])), []
23 rows.append((1.0/p) * log_sum_exp(hstack([xi ** p for xi in row])))
H A Dsum_canon.py1 from cvxpy.atoms.affine.hstack import hstack
22 canon = hstack(rows)
/dports/finance/py-quantecon/quantecon-0.5.2/quantecon/
H A Ddle.py76 uc = np.hstack((np.eye(self.nc), np.zeros((self.nc, self.ng))))
77 ug = np.hstack((np.zeros((self.ng, self.nc)), np.eye(self.ng)))
78 phiin = np.linalg.inv(np.hstack((self.phic, self.phig)))
87 a11 = np.vstack((np.hstack((self.deltah, a1)), np.hstack(
89 self.A = np.vstack((np.hstack((a11, a12)), np.hstack(
129 self.Sk1 = np.hstack((np.zeros((self.nk, self.nh)), np.eye(
138 self.Ss = self.llambda.dot(np.hstack((np.eye(self.nh), np.zeros(
304 Ac1 = np.hstack((self.deltah, np.zeros((self.nh, self.nz))))
305 Ac2 = np.hstack((np.zeros((self.nz, self.nh)), self.a22))
308 Rc1 = np.hstack((self.llambda.T.dot(self.llambda), -
[all …]
H A Divp.py51 solution = np.hstack((self.t, self.y))
56 current_step = np.hstack((self.t, self.y))
71 solution = np.hstack((self.t, self.y))
76 current_step = np.hstack((self.t, self.y))
132 rhs_ode = np.hstack((ti[:, np.newaxis], rhs_ode))
236 interp_traj = np.hstack((ti[:, np.newaxis], np.array(out).T))
/dports/science/py-obspy/obspy-1.2.2/obspy/signal/
H A Dcpxtrace.py106 anorm_add = np.hstack(
120 a_win_add = np.hstack(
171 centroid_add = np.hstack(
217 f_add = np.hstack(
224 h_add = np.hstack(
235 omega_add = np.hstack(
247 f_add = np.hstack(
254 h_add = np.hstack(
285 a_win_add = np.hstack(
296 sigma_add = np.hstack(
[all …]
/dports/science/py-nilearn/nilearn-0.8.1/nilearn/_utils/
H A Dsegmentation.py53 edges = np.hstack((edges_deep, edges_right, edges_down))
85 i_indices = np.hstack((edges[0], edges[1]))
86 j_indices = np.hstack((edges[1], edges[0]))
87 data = np.hstack((-weights, -weights))
92 (np.hstack((data, connect)), (np.hstack((i_indices, diag)),
93 np.hstack((j_indices, diag)))),
132 mask0 = np.hstack((mask[:, :, :-1].ravel(), mask[:, :-1].ravel(),
134 mask1 = np.hstack((mask[:, :, 1:].ravel(), mask[:, 1:].ravel(),
/dports/biology/py-scikit-bio/scikit-bio-0.5.6/skbio/stats/ordination/
H A D_canonical_correspondence_analysis.py205 features_scores = np.hstack((V, V_res))
206 sample_scores = np.hstack((F, F_res))
207 sample_constraints = np.hstack((Z_scaling1, F_res))
209 features_scores = np.hstack((F_hat, F_hat_res))
210 sample_scores = np.hstack((V_hat, V_hat_res))
211 sample_constraints = np.hstack((Z_scaling2, V_hat_res))
/dports/math/py-cvxpy/cvxpy-1.1.17/cvxpy/atoms/affine/
H A Dbmat.py17 from cvxpy.atoms.affine.hstack import hstack
37 row_blocks = [hstack(blocks) for blocks in block_lists]
/dports/science/py-veusz/veusz-veusz-3.3.1/veusz/widgets/
H A Daxisfunction.py69 xvals = N.hstack(( mint, xvals[xvals > mint] ))
71 xvals = N.hstack(( xvals[xvals < maxt], maxt ))
389 linkpixcoords = N.hstack((mintpix, linkpixcoords[sel]))
391 fraccoords = N.hstack((frac, fraccoords[sel]))
396 linkpixcoords = N.hstack((linkpixcoords[sel], maxtpix))
398 fraccoords = N.hstack((fraccoords[sel], frac))
451 fraccoords = N.hstack( (minfrac, fraccoords[sel]) )
452 tvals = N.hstack( (mint, tvals[sel]) )
456 fraccoords = N.hstack( (fraccoords[sel], maxfrac) )
457 tvals = N.hstack( (tvals[sel], maxt) )
[all …]
/dports/math/faiss/faiss-1.7.1/contrib/
H A Dexhaustive_search.py92 return lims, np.hstack(D_res), np.hstack(I_res)
140 D = [(np.hstack(i) if i != [] else empty_D) for i in D]
141 I = [(np.hstack(i) if i != [] else empty_I) for i in I]
146 return lims, np.hstack(D), np.hstack(I)
175 alldis = np.hstack([dis for _, dis, _ in res_batches])
255 nres = np.hstack([nres_i for nres_i, dis_i, ids_i in res_batches])
256 dis = np.hstack([dis_i for nres_i, dis_i, ids_i in res_batches])
257 ids = np.hstack([ids_i for nres_i, dis_i, ids_i in res_batches])
/dports/science/py-pyscf/pyscf-2.0.1/examples/ao2mo/
H A D11-ump2.py25 o = numpy.hstack((mo_coeff[0][:,mo_occ[0]>0] ,mo_coeff[1][:,mo_occ[1]>0]))
26 v = numpy.hstack((mo_coeff[0][:,mo_occ[0]==0],mo_coeff[1][:,mo_occ[1]==0]))
27 eo = numpy.hstack((mo_energy[0][mo_occ[0]>0] ,mo_energy[1][mo_occ[1]>0]))
28 ev = numpy.hstack((mo_energy[0][mo_occ[0]==0],mo_energy[1][mo_occ[1]==0]))
/dports/misc/orange3/orange3-3.29.1/Orange/widgets/data/tests/
H A Dtest_owmelt.py361 np.hstack((out.X, np.atleast_2d(out.Y).T)),
372 np.hstack((out.X, np.atleast_2d(out.Y).T)),
383 np.hstack((out.X, np.atleast_2d(out.Y).T)),
394 np.hstack((out.X, np.atleast_2d(out.Y).T)),
411 np.hstack((out.X, np.atleast_2d(out.Y).T)),
420 np.hstack((out.X, np.atleast_2d(out.Y).T)),
429 np.hstack((out.X, np.atleast_2d(out.Y).T)),
438 np.hstack((out.X, np.atleast_2d(out.Y).T)),
452 np.hstack((out.X, np.atleast_2d(out.Y).T)),
464 np.hstack((out.X, np.atleast_2d(out.Y).T)),
[all …]
/dports/math/py-cvxpy/cvxpy-1.1.17/cvxpy/reductions/dcp2cone/atom_canonicalizers/
H A Dquad_over_lin_canon.py17 from cvxpy.atoms.affine.hstack import hstack
33 X=hstack([y-t, 2*x.flatten()]), axis=0
/dports/math/py-osqp/osqp-0.6.2.post0/module/tests/
H A Dmultithread_test.py31 sparse.hstack([Ad, -sparse.eye(m)]),
32 sparse.hstack([sparse.eye(n), sparse.csc_matrix((n, m))])], format='csc')
33 l = np.hstack([b, np.zeros(n)])
34 u = np.hstack([b, np.ones(n)])
/dports/math/py-numpoly/numpoly-1.2.3/numpoly/array_function/
H A Dhstack.py12 @implements(numpy.hstack)
13 def hstack(tup: Sequence[PolyLike]) -> ndpoly: function
48 coefficients = [numpy.hstack([array.values[key] for array in arrays])
/dports/devel/py-bullet3/bullet3-3.21/examples/pybullet/gym/pybullet_envs/minitaur/envs_v2/env_wrappers/
H A Dpmtg_inplace_wrapper_env.py64 action_low = np.hstack(
66 action_high = np.hstack(
78 lower_bound = np.hstack((lower_bound, [-1.] * 2 * _NUM_LEGS))
79 upper_bound = np.hstack((upper_bound, [1.] * 2 * _NUM_LEGS))
87 observation["tg_inplace"] = np.hstack(
91 return np.hstack(
/dports/math/osqp/osqp-0.6.2/docs/examples/
H A Dsvm.rst42 b = np.hstack([np.ones(N), -np.ones(N)])
53 q = np.hstack([np.zeros(n), gamma*np.ones(m)])
55 sparse.hstack([sparse.diags(b).dot(Ad), -Im]),
56 sparse.hstack([sparse.csc_matrix((m, n)), Im])
58 l = np.hstack([-np.inf*np.ones(m), np.zeros(m)])
59 u = np.hstack([-np.ones(m), np.inf*np.ones(m)])
123 b = np.hstack([np.ones(N), -np.ones(N)])

12345678910>>...50