| /external/mockftpserver/MockFtpServer/src/site/resources/css/ |
| site.css | 3 font-weight: bolder;
|
| /external/mockftpserver/branches/1.x_Branch/src/site/resources/css/ |
| site.css | 3 font-weight: bolder;
|
| /frameworks/base/data/fonts/ |
| fonts.xml | 4 supporting richer weight selection. Some apps will expect the older
12 Order of appearance is also the tiebreaker for weight matching. This is
14 prefer the former when an 800 weight is requested. Since bold spans
15 effectively add 300 to the weight, this ensures that 900 is the bold
16 paired with the 500 weight, ensuring adequate contrast.
21 <font weight="100" style="normal">Roboto-Thin.ttf</font>
22 <font weight="100" style="italic">Roboto-ThinItalic.ttf</font>
23 <font weight="300" style="normal">Roboto-Light.ttf</font>
24 <font weight="300" style="italic">Roboto-LightItalic.ttf</font>
25 <font weight="400" style="normal">Roboto-Regular.ttf</font
[all...] |
| /external/openfst/src/include/fst/ |
| arc.h | 28 #include <fst/expectation-weight.h>
29 #include <fst/float-weight.h>
30 #include <fst/lexicographic-weight.h>
31 #include <fst/power-weight.h>
32 #include <fst/product-weight.h>
33 #include <fst/signed-log-weight.h>
34 #include <fst/sparse-power-weight.h>
38 #include <fst/string-weight.h>
46 typedef W Weight;
50 ArcTpl(Label i, Label o, const Weight& w, StateId s
63 Weight weight; member in class:fst::ArcTpl
99 Weight weight; \/\/ Transition weight member in class:fst::StringArc
133 Weight weight; \/\/ Transition weight member in struct:fst::GallicArc
158 Weight weight; \/\/ Transition weight member in struct:fst::ReverseArc
182 Weight weight; \/\/ Transition weight member in struct:fst::LexicographicArc
206 Weight weight; \/\/ Transition weight member in struct:fst::ProductArc
238 Weight weight; \/\/ Transition weight member in struct:fst::PowerArc
270 Weight weight; \/\/ Transition weight member in struct:fst::SparsePowerArc
301 Weight weight; \/\/ Transition weight member in struct:fst::ExpectationArc
[all...] |
| reweight.h | 35 // vector in the direction defined by TYPE. Weight needs to be left
39 // An arc of weight w, with an origin state of potential p and
45 const vector<typename Arc::Weight> &potential,
47 typedef typename Arc::Weight Weight;
52 if (type == REWEIGHT_TO_FINAL && !(Weight::Properties() & kRightSemiring)) {
54 << "Weight to be right distributive: "
55 << Weight::Type();
60 if (type == REWEIGHT_TO_INITIAL && !(Weight::Properties() & kLeftSemiring)) {
62 << "Weight to be left distributive:
73 typename Arc::Weight weight = potential[state]; local
[all...] |
| random-weight.h | 1 // random-weight.h
31 #include <fst/float-weight.h>
32 #include <fst/product-weight.h>
33 #include <fst/string-weight.h>
34 #include <fst/lexicographic-weight.h>
35 #include <fst/power-weight.h>
36 #include <fst/signed-log-weight.h>
37 #include <fst/sparse-power-weight.h>
43 // divisors should be returned in the random weight generation.
50 typedef TropicalWeightTpl<T> Weight;
[all...] |
| prune.h | 37 typedef typename A::Weight Weight;
40 // Pruning weight threshold.
41 Weight weight_threshold;
47 const vector<Weight> *distance;
52 explicit PruneOptions(const Weight& w, StateId s, ArcFilter f,
53 vector<Weight> *d = 0, float e = kDelta)
68 typedef W Weight;
70 PruneCompare(const vector<Weight> &idistance,
71 const vector<Weight> &fdistance
158 Weight weight = Times(Times(idistance[s], arc.weight), local
284 Weight weight = Times(Times(idistance[s], arc.weight), local
[all...] |
| push.h | 27 #include <fst/factor-weight.h>
39 // Compute the total weight (sum of the weights of all accepting paths) from
44 typename Arc::Weight ComputeTotalWeight(
46 const vector<typename Arc::Weight> &distance,
50 distance[fst.Start()] : Arc::Weight::Zero();
52 typename Arc::Weight sum = Arc::Weight::Zero();
58 // Divide the weight of every accepting path by 'w'. The weight 'w' is
62 void RemoveWeight(MutableFst<Arc> *fst, typename Arc::Weight w, bool at_final)
[all...] |
| /external/skia/resources/android_fonts/v22/ |
| fonts.xml | 5 <font weight="100" style="normal">
8 <font weight="100" style="italic">Roboto-ThinItalic.ttf</font>
9 <font weight="300" style="normal">Roboto-Light.ttf</font>
10 <font weight="300" style="italic">Roboto-LightItalic.ttf</font>
11 <font weight="400" style="normal">Roboto-Regular.ttf</font>
12 <font weight="400" style="italic">Roboto-Italic.ttf</font>
13 <font weight="500" style="normal">Roboto-Medium.ttf</font>
14 <font weight="500" style="italic">Roboto-MediumItalic.ttf</font>
15 <font weight="700" style="normal">Roboto-Bold.ttf</font>
16 <font weight="700" style="italic">Roboto-BoldItalic.ttf</font
[all...] |
| /prebuilts/python/linux-x86/2.7.5/lib/python2.7/site-packages/setoolsgui/networkx/algorithms/tests/ |
| test_hierarchy.py | 24 G.add_edges_from([(0,1,{'weight':.3}),
25 (1,2,{'weight':.1}),
26 (2,3,{'weight':.1}),
27 (3,1,{'weight':.1}),
28 (3,4,{'weight':.3}),
29 (0,4,{'weight':.3})])
30 assert_equal(nx.flow_hierarchy(G,weight='weight'),.75
|
| test_vitality.py | 15 G.add_cycle([0,1,2],weight=2)
16 v=nx.closeness_vitality(G,weight='weight')
27 G.add_cycle([0,1,2],weight=2)
28 v=nx.closeness_vitality(G,weight='weight')
33 G.add_cycle([0,1,2],weight=2)
34 v=nx.closeness_vitality(G,weight='weight')
|
| test_mst.py | 10 edgelist = [(0,3,[('weight',5)]),
11 (0,1,[('weight',7)]),
12 (1,3,[('weight',9)]),
13 (1,2,[('weight',8)]),
14 (1,4,[('weight',7)]),
15 (3,4,[('weight',15)]),
16 (3,5,[('weight',6)]),
17 (2,4,[('weight',5)]),
18 (4,5,[('weight',8)]),
19 (4,6,[('weight',9)])
[all...] |
| /external/openfst/src/test/ |
| weight-tester.h | 0 // weight-tester.h
27 #include <fst/random-weight.h>
32 // hold for the Weight class to be well-defined. It calls function object
34 template<class Weight, class WeightGenerator>
42 Weight w1 = weight_generator_();
43 Weight w2 = weight_generator_();
44 Weight w3 = weight_generator_();
46 VLOG(1) << "weight type = " << Weight::Type();
66 void TestSemiring(Weight w1, Weight w2, Weight w3)
[all...] |
| /prebuilts/python/linux-x86/2.7.5/lib/python2.7/site-packages/setoolsgui/networkx/algorithms/shortest_paths/tests/ |
| test_astar.py | 10 self.XG.add_edges_from([('s','u',{'weight':10}),
11 ('s','x',{'weight':5}),
12 ('u','v',{'weight':1}),
13 ('u','x',{'weight':2}),
14 ('v','y',{'weight':1}),
15 ('x','u',{'weight':3}),
16 ('x','v',{'weight':5}),
17 ('x','y',{'weight':2}),
18 ('y','s',{'weight':7}),
19 ('y','v',{'weight':6})]
[all...] |
| test_generic.py | 20 assert_equal(nx.shortest_path(self.cycle,0,3,weight='weight'),[0, 1, 2, 3])
21 assert_equal(nx.shortest_path(self.cycle,0,4,weight='weight'),[0, 6, 5, 4])
22 assert_equal(nx.shortest_path(self.grid,1,12,weight='weight'),[1, 2, 3, 4, 8, 12])
23 assert_equal(nx.shortest_path(self.directed_cycle,0,3,weight='weight'),
35 assert_equal(nx.shortest_path_length(self.cycle,0,3,weight='weight'),3
[all...] |
| /external/clang/www/demo/ |
| syntax.css | 4 .llvm_keyword { font-weight: bold; color: blue }
|
| /external/marisa-trie/lib/marisa/ |
| range.h | 43 WRange(const Range &range, double weight)
44 : range_(range), weight_(weight) {}
45 WRange(UInt32 begin, UInt32 end, UInt32 pos, double weight)
46 : range_(begin, end, pos), weight_(weight) {}
57 void set_weight(double weight) {
58 weight_ = weight;
73 double weight() const { function in class:marisa::WRange
83 return lhs.weight() > rhs.weight();
|
| /external/marisa-trie/v0_1_5/lib/marisa_alpha/ |
| range.h | 43 WRange(const Range &range, double weight)
44 : range_(range), weight_(weight) {}
45 WRange(UInt32 begin, UInt32 end, UInt32 pos, double weight)
46 : range_(begin, end, pos), weight_(weight) {}
57 void set_weight(double weight) {
58 weight_ = weight;
73 double weight() const { function in class:marisa_alpha::WRange
83 return lhs.weight() > rhs.weight();
|
| /prebuilts/python/linux-x86/2.7.5/lib/python2.7/site-packages/setoolsgui/networkx/algorithms/approximation/tests/ |
| test_vertex_cover.py | 18 wg.add_node(0, weight=10)
19 wg.add_node(1, weight=1)
20 wg.add_node(2, weight=1)
21 wg.add_node(3, weight=1)
22 wg.add_node(4, weight=1)
34 cover = a.min_weighted_vertex_cover(wg, weight="weight")
35 csum = sum(wg.node[node]["weight"] for node in cover)
|
| /prebuilts/python/linux-x86/2.7.5/lib/python2.7/site-packages/setoolsgui/networkx/generators/tests/ |
| test_stochastic.py | 11 [(0, 1, {'weight': 0.5}),
12 (0, 2, {'weight': 0.5})])
15 [(0, 1, {'weight': 0.5}),
16 (0, 2, {'weight': 0.5})])
20 G.add_edge(0,1,weight=1)
21 G.add_edge(0,2,weight=1)
24 [(0, 1, {'weight': 0.5}),
25 (0, 2, {'weight': 0.5})])
|
| /prebuilts/python/linux-x86/2.7.5/lib/python2.7/site-packages/setoolsgui/networkx/algorithms/assortativity/tests/ |
| test_neighbor_degree.py | 27 G[1][2]['weight']=4
29 nd = nx.average_neighbor_degree(G,weight='weight')
33 nd = nx.average_neighbor_degree(D,weight='weight')
37 nd = nx.average_neighbor_degree(D,weight='weight')
40 weight='weight')
45 weight='weight'
[all...] |
| /prebuilts/python/linux-x86/2.7.5/lib/python2.7/site-packages/setoolsgui/networkx/linalg/ |
| spectrum.py | 18 def laplacian_spectrum(G, weight='weight'):
26 weight : string or None, optional (default='weight')
28 If None, then each edge has weight 1.
49 return np.linalg.eigvals(nx.laplacian_matrix(G,weight=weight))
51 def adjacency_spectrum(G, weight='weight'):
59 weight : string or None, optional (default='weight'
[all...] |
| /external/jmonkeyengine/engine/src/core-data/Common/ShaderLib/ |
| Skinning.glsllib | 13 vec4 weight = inBoneWeight;
20 newPos += weight.x * (skinMat * position);
21 newNormal += weight.x * (skinMat * normal);
23 weight = weight.yzwx;
|
| /prebuilts/python/linux-x86/2.7.5/lib/python2.7/site-packages/setoolsgui/networkx/generators/ |
| stochastic.py | 12 def stochastic_graph(G, copy=True, weight='weight'):
26 weight : edge attribute key (optional, default='weight')
27 Edge data key used for weight. If no attribute is found for an edge
28 the edge weight is set to 1.
43 degree = W.out_degree(weight=weight)
45 d[weight] = float(d.get(weight,1.0))/degree[u
[all...] |
| /prebuilts/python/linux-x86/2.7.5/lib/python2.7/site-packages/setoolsgui/networkx/algorithms/flow/tests/ |
| test_mincost.py | 11 G.add_edge('a', 'b', weight = 3, capacity = 4)
12 G.add_edge('a', 'c', weight = 6, capacity = 10)
13 G.add_edge('b', 'd', weight = 1, capacity = 9)
14 G.add_edge('c', 'd', weight = 2, capacity = 5)
30 G.add_edge('s', 'a', weight = 1, capacity = 3)
31 G.add_edge('a', 'b', weight = 3)
32 G.add_edge('c', 'a', weight = -6)
33 G.add_edge('b', 'd', weight = 1)
34 G.add_edge('d', 'c', weight = -2)
35 G.add_edge('d', 't', weight = 1, capacity = 3
[all...] |
