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1 // Copyright (c) 2011 The Chromium Authors. All rights reserved. | 1 // Copyright (c) 2011 The Chromium Authors. All rights reserved. |
2 // Use of this source code is governed by a BSD-style license that can be | 2 // Use of this source code is governed by a BSD-style license that can be |
3 // found in the LICENSE file. | 3 // found in the LICENSE file. |
4 | 4 |
5 #include "chrome/renderer/safe_browsing/scorer.h" | 5 #include "chrome/renderer/safe_browsing/scorer.h" |
6 | 6 |
7 #include <math.h> | 7 #include <math.h> |
8 | 8 |
9 #include "base/logging.h" | 9 #include "base/logging.h" |
10 #include "base/memory/scoped_ptr.h" | 10 #include "base/memory/scoped_ptr.h" |
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96 } | 96 } |
97 | 97 |
98 size_t Scorer::max_words_per_term() const { | 98 size_t Scorer::max_words_per_term() const { |
99 return model_.max_words_per_term(); | 99 return model_.max_words_per_term(); |
100 } | 100 } |
101 | 101 |
102 uint32 Scorer::murmurhash3_seed() const { | 102 uint32 Scorer::murmurhash3_seed() const { |
103 return model_.murmur_hash_seed(); | 103 return model_.murmur_hash_seed(); |
104 } | 104 } |
105 | 105 |
| 106 size_t Scorer::max_shingles_per_page() const { |
| 107 return model_.max_shingles_per_page(); |
| 108 } |
| 109 |
| 110 size_t Scorer::shingle_size() const { |
| 111 return model_.shingle_size(); |
| 112 } |
| 113 |
106 double Scorer::ComputeRuleScore(const ClientSideModel::Rule& rule, | 114 double Scorer::ComputeRuleScore(const ClientSideModel::Rule& rule, |
107 const FeatureMap& features) const { | 115 const FeatureMap& features) const { |
108 const base::hash_map<std::string, double>& feature_map = features.features(); | 116 const base::hash_map<std::string, double>& feature_map = features.features(); |
109 double rule_score = 1.0; | 117 double rule_score = 1.0; |
110 for (int i = 0; i < rule.feature_size(); ++i) { | 118 for (int i = 0; i < rule.feature_size(); ++i) { |
111 base::hash_map<std::string, double>::const_iterator it = feature_map.find( | 119 base::hash_map<std::string, double>::const_iterator it = feature_map.find( |
112 model_.hashes(rule.feature(i))); | 120 model_.hashes(rule.feature(i))); |
113 if (it == feature_map.end() || it->second == 0.0) { | 121 if (it == feature_map.end() || it->second == 0.0) { |
114 // If the feature of the rule does not exist in the given feature map the | 122 // If the feature of the rule does not exist in the given feature map the |
115 // feature weight is considered to be zero. If the feature weight is zero | 123 // feature weight is considered to be zero. If the feature weight is zero |
116 // we leave early since we know that the rule score will be zero. | 124 // we leave early since we know that the rule score will be zero. |
117 return 0.0; | 125 return 0.0; |
118 } | 126 } |
119 rule_score *= it->second; | 127 rule_score *= it->second; |
120 } | 128 } |
121 return rule_score * rule.weight(); | 129 return rule_score * rule.weight(); |
122 } | 130 } |
123 } // namespace safe_browsing | 131 } // namespace safe_browsing |
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