Componentize safe_browsing [X+1] : move the renderer part to component.

chrome/renderer/safe_browsing/scorer_unittest.cc

Index: chrome/renderer/safe_browsing/scorer_unittest.cc
diff --git a/chrome/renderer/safe_browsing/scorer_unittest.cc b/chrome/renderer/safe_browsing/scorer_unittest.cc
deleted file mode 100644
index e6545fa42e3241a66d9eb1cee2b265b31130c594..0000000000000000000000000000000000000000
--- a/chrome/renderer/safe_browsing/scorer_unittest.cc
+++ /dev/null
@@ -1,149 +0,0 @@
-// Copyright (c) 2011 The Chromium Authors. All rights reserved.
-// Use of this source code is governed by a BSD-style license that can be
-// found in the LICENSE file.
-
-#include "chrome/renderer/safe_browsing/scorer.h"
-
-#include <stdint.h>
-
-#include <memory>
-
-#include "base/containers/hash_tables.h"
-#include "base/files/file_path.h"
-#include "base/files/scoped_temp_dir.h"
-#include "base/format_macros.h"
-#include "base/message_loop/message_loop.h"
-#include "base/threading/thread.h"
-#include "chrome/common/safe_browsing/client_model.pb.h"
-#include "chrome/renderer/safe_browsing/features.h"
-#include "testing/gmock/include/gmock/gmock.h"
-#include "testing/gtest/include/gtest/gtest.h"
-
-namespace safe_browsing {
-
-class PhishingScorerTest : public ::testing::Test {
- protected:
-  void SetUp() override {
-    // Setup a simple model.  Note that the scorer does not care about
-    // how features are encoded so we use readable strings here to make
-    // the test simpler to follow.
-    model_.Clear();
-    model_.add_hashes("feature1");
-    model_.add_hashes("feature2");
-    model_.add_hashes("feature3");
-    model_.add_hashes("token one");
-    model_.add_hashes("token two");
-
-    ClientSideModel::Rule* rule;
-    rule = model_.add_rule();
-    rule->set_weight(0.5);
-
-    rule = model_.add_rule();
-    rule->add_feature(0);  // feature1
-    rule->set_weight(2.0);
-
-    rule = model_.add_rule();
-    rule->add_feature(0);  // feature1
-    rule->add_feature(1);  // feature2
-    rule->set_weight(3.0);
-
-    model_.add_page_term(3);  // token one
-    model_.add_page_term(4);  // token two
-
-    // These will be murmur3 hashes, but for this test it's not necessary
-    // that the hashes correspond to actual words.
-    model_.add_page_word(1000U);
-    model_.add_page_word(2000U);
-    model_.add_page_word(3000U);
-
-    model_.set_max_words_per_term(2);
-    model_.set_murmur_hash_seed(12345U);
-    model_.set_max_shingles_per_page(10);
-    model_.set_shingle_size(3);
-  }
-
-  ClientSideModel model_;
-};
-
-TEST_F(PhishingScorerTest, HasValidModel) {
-  std::unique_ptr<Scorer> scorer;
-  scorer.reset(Scorer::Create(model_.SerializeAsString()));
-  EXPECT_TRUE(scorer.get() != NULL);
-
-  // Invalid model string.
-  scorer.reset(Scorer::Create("bogus string"));
-  EXPECT_FALSE(scorer.get());
-
-  // Mode is missing a required field.
-  model_.clear_max_words_per_term();
-  scorer.reset(Scorer::Create(model_.SerializePartialAsString()));
-  EXPECT_FALSE(scorer.get());
-}
-
-TEST_F(PhishingScorerTest, PageTerms) {
-  std::unique_ptr<Scorer> scorer(Scorer::Create(model_.SerializeAsString()));
-  ASSERT_TRUE(scorer.get());
-
-  // Use std::vector instead of base::hash_set for comparison.
-  // On Android, EXPECT_THAT(..., ContainerEq(...)) doesn't support
-  // std::hash_set, but std::vector works fine.
-  std::vector<std::string> expected_page_terms;
-  expected_page_terms.push_back("token one");
-  expected_page_terms.push_back("token two");
-  std::sort(expected_page_terms.begin(), expected_page_terms.end());
-
-  base::hash_set<std::string> page_terms = scorer->page_terms();
-  std::vector<std::string> page_terms_v(page_terms.begin(), page_terms.end());
-  std::sort(page_terms_v.begin(), page_terms_v.end());
-
-  EXPECT_THAT(page_terms_v, ::testing::ContainerEq(expected_page_terms));
-}
-
-TEST_F(PhishingScorerTest, PageWords) {
-  std::unique_ptr<Scorer> scorer(Scorer::Create(model_.SerializeAsString()));
-  ASSERT_TRUE(scorer.get());
-  std::vector<uint32_t> expected_page_words;
-  expected_page_words.push_back(1000U);
-  expected_page_words.push_back(2000U);
-  expected_page_words.push_back(3000U);
-  std::sort(expected_page_words.begin(), expected_page_words.end());
-
-  base::hash_set<uint32_t> page_words = scorer->page_words();
-  std::vector<uint32_t> page_words_v(page_words.begin(), page_words.end());
-  std::sort(page_words_v.begin(), page_words_v.end());
-
-  EXPECT_THAT(page_words_v, ::testing::ContainerEq(expected_page_words));
-
-  EXPECT_EQ(2U, scorer->max_words_per_term());
-  EXPECT_EQ(12345U, scorer->murmurhash3_seed());
-  EXPECT_EQ(10U, scorer->max_shingles_per_page());
-  EXPECT_EQ(3U, scorer->shingle_size());
-}
-
-TEST_F(PhishingScorerTest, ComputeScore) {
-  std::unique_ptr<Scorer> scorer(Scorer::Create(model_.SerializeAsString()));
-  ASSERT_TRUE(scorer.get());
-
-  // An empty feature map should match the empty rule.
-  FeatureMap features;
-  // The expected logodds is 0.5 (empty rule) => p = exp(0.5) / (exp(0.5) + 1)
-  // => 0.62245933120185459
-  EXPECT_DOUBLE_EQ(0.62245933120185459, scorer->ComputeScore(features));
-  // Same if the feature does not match any rule.
-  EXPECT_TRUE(features.AddBooleanFeature("not existing feature"));
-  EXPECT_DOUBLE_EQ(0.62245933120185459, scorer->ComputeScore(features));
-
-  // Feature 1 matches which means that the logodds will be:
-  //   0.5 (empty rule) + 2.0 (rule weight) * 0.15 (feature weight) = 0.8
-  //   => p = 0.6899744811276125
-  EXPECT_TRUE(features.AddRealFeature("feature1", 0.15));
-  EXPECT_DOUBLE_EQ(0.6899744811276125, scorer->ComputeScore(features));
-
-  // Now, both feature 1 and feature 2 match.  Expected logodds:
-  //   0.5 (empty rule) + 2.0 (rule weight) * 0.15 (feature weight) +
-  //   3.0 (rule weight) * 0.15 (feature1 weight) * 1.0 (feature2) weight = 9.8
-  //   => p = 0.99999627336071584
-  EXPECT_TRUE(features.AddBooleanFeature("feature2"));
-  EXPECT_DOUBLE_EQ(0.77729986117469119, scorer->ComputeScore(features));
-}
-}  // namespace safe_browsing