core: add single DMatch/Keypoint I/O
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89ce2dc405
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931b32d102
@ -1055,6 +1055,20 @@ void write(FileStorage& fs, const String& name, const Range& r )
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write(fs, r);
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write(fs, r);
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}
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}
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static inline
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void write(FileStorage& fs, const String& name, const KeyPoint& r )
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{
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cv::internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
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write(fs, r);
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}
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static inline
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void write(FileStorage& fs, const String& name, const DMatch& r )
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{
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cv::internal::WriteStructContext ws(fs, name, FileNode::SEQ+FileNode::FLOW);
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write(fs, r);
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}
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template<typename _Tp> static inline
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template<typename _Tp> static inline
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void write( FileStorage& fs, const String& name, const std::vector<_Tp>& vec )
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void write( FileStorage& fs, const String& name, const std::vector<_Tp>& vec )
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{
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{
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@ -1245,6 +1259,14 @@ void operator >> (const FileNode& n, std::vector<KeyPoint>& vec)
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{
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{
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read(n, vec);
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read(n, vec);
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}
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}
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static inline
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void operator >> (const FileNode& n, KeyPoint& kpt)
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{
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FileNodeIterator it = n.begin();
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it >> kpt.pt.x >> kpt.pt.y >> kpt.size >> kpt.angle >> kpt.response >> kpt.octave >> kpt.class_id;
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}
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/** @brief Reads DMatch from a file storage.
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/** @brief Reads DMatch from a file storage.
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*/
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*/
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//It needs special handling because it contains two types of fields, int & float.
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//It needs special handling because it contains two types of fields, int & float.
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@ -1254,6 +1276,13 @@ void operator >> (const FileNode& n, std::vector<DMatch>& vec)
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read(n, vec);
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read(n, vec);
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}
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}
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static inline
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void operator >> (const FileNode& n, DMatch& m)
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{
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FileNodeIterator it = n.begin();
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it >> m.queryIdx >> m.trainIdx >> m.imgIdx >> m.distance;
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}
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//! @} FileNode
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//! @} FileNode
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//! @relates cv::FileNodeIterator
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//! @relates cv::FileNodeIterator
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@ -1014,7 +1014,7 @@ TEST(Core_InputOutput, filestorage_yaml_advanvced_type_heading)
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ASSERT_EQ(cv::norm(inputMatrix, actualMatrix, NORM_INF), 0.);
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ASSERT_EQ(cv::norm(inputMatrix, actualMatrix, NORM_INF), 0.);
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}
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}
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TEST(Core_InputOutput, filestorage_keypoints_io)
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TEST(Core_InputOutput, filestorage_keypoints_vec_vec_io)
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{
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{
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vector<vector<KeyPoint> > kptsVec;
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vector<vector<KeyPoint> > kptsVec;
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vector<KeyPoint> kpts;
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vector<KeyPoint> kpts;
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@ -1051,41 +1051,6 @@ TEST(Core_InputOutput, filestorage_keypoints_io)
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}
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}
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}
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}
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TEST(Core_InputOutput, filestorage_dmatch_io)
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{
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vector<vector<DMatch> > matchesVec;
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vector<DMatch> matches;
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matches.push_back(DMatch(1, 0, 10, 11.5f));
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matches.push_back(DMatch(2, 1, 11, 21.5f));
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matchesVec.push_back(matches);
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matches.clear();
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matches.push_back(DMatch(22, 10, 1, 1.5f));
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matchesVec.push_back(matches);
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FileStorage writer("", FileStorage::WRITE + FileStorage::MEMORY + FileStorage::FORMAT_XML);
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writer << "dmatches" << matchesVec;
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String content = writer.releaseAndGetString();
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FileStorage reader(content, FileStorage::READ + FileStorage::MEMORY);
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vector<vector<DMatch> > readKptsVec;
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reader["dmatches"] >> readKptsVec;
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ASSERT_EQ(matchesVec.size(), readKptsVec.size());
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for(size_t i = 0; i < matchesVec.size(); i++)
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{
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ASSERT_EQ(matchesVec[i].size(), readKptsVec[i].size());
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for(size_t j = 0; j < matchesVec[i].size(); j++)
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{
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ASSERT_FLOAT_EQ(matchesVec[i][j].distance, readKptsVec[i][j].distance);
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ASSERT_EQ(matchesVec[i][j].imgIdx, readKptsVec[i][j].imgIdx);
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ASSERT_EQ(matchesVec[i][j].queryIdx, readKptsVec[i][j].queryIdx);
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ASSERT_EQ(matchesVec[i][j].trainIdx, readKptsVec[i][j].trainIdx);
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}
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}
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}
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#if 0
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TEST(Core_InputOutput, FileStorage_DMatch)
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TEST(Core_InputOutput, FileStorage_DMatch)
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{
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{
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cv::FileStorage fs("dmatch.yml", cv::FileStorage::WRITE | cv::FileStorage::MEMORY);
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cv::FileStorage fs("dmatch.yml", cv::FileStorage::WRITE | cv::FileStorage::MEMORY);
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@ -1106,7 +1071,6 @@ TEST(Core_InputOutput, FileStorage_DMatch)
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EXPECT_EQ(d.imgIdx, d_read.imgIdx);
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EXPECT_EQ(d.imgIdx, d_read.imgIdx);
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EXPECT_EQ(d.distance, d_read.distance);
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EXPECT_EQ(d.distance, d_read.distance);
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}
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}
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#endif
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TEST(Core_InputOutput, FileStorage_DMatch_vector)
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TEST(Core_InputOutput, FileStorage_DMatch_vector)
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{
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{
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@ -1125,15 +1089,8 @@ TEST(Core_InputOutput, FileStorage_DMatch_vector)
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EXPECT_STREQ(fs_result.c_str(),
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EXPECT_STREQ(fs_result.c_str(),
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"%YAML:1.0\n"
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"%YAML:1.0\n"
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"---\n"
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"---\n"
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#if 0
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"dv:\n"
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" - [ 1, 2, 3, -1.5000000000000000e+00 ]\n"
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" - [ 2, 3, 4, 1.5000000000000000e+00 ]\n"
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" - [ 3, 2, 1, 5.0000000000000000e-01 ]\n"
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#else
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"dv: [ 1, 2, 3, -1.5000000000000000e+00, 2, 3, 4, 1.5000000000000000e+00,\n"
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"dv: [ 1, 2, 3, -1.5000000000000000e+00, 2, 3, 4, 1.5000000000000000e+00,\n"
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" 3, 2, 1, 5.0000000000000000e-01 ]\n"
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" 3, 2, 1, 5.0000000000000000e-01 ]\n"
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#endif
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);
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);
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cv::FileStorage fs_read(fs_result, cv::FileStorage::READ | cv::FileStorage::MEMORY);
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cv::FileStorage fs_read(fs_result, cv::FileStorage::READ | cv::FileStorage::MEMORY);
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@ -1177,19 +1134,9 @@ TEST(Core_InputOutput, FileStorage_DMatch_vector_vector)
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"%YAML:1.0\n"
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"%YAML:1.0\n"
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"---\n"
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"---\n"
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"dvv:\n"
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"dvv:\n"
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#if 0
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" -\n"
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" - [ 1, 2, 3, -1.5000000000000000e+00 ]\n"
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" - [ 2, 3, 4, 1.5000000000000000e+00 ]\n"
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" - [ 3, 2, 1, 5.0000000000000000e-01 ]\n"
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" -\n"
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" - [ 3, 2, 1, 5.0000000000000000e-01 ]\n"
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" - [ 1, 2, 3, -1.5000000000000000e+00 ]\n"
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#else
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" - [ 1, 2, 3, -1.5000000000000000e+00, 2, 3, 4, 1.5000000000000000e+00,\n"
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" - [ 1, 2, 3, -1.5000000000000000e+00, 2, 3, 4, 1.5000000000000000e+00,\n"
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" 3, 2, 1, 5.0000000000000000e-01 ]\n"
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" 3, 2, 1, 5.0000000000000000e-01 ]\n"
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" - [ 3, 2, 1, 5.0000000000000000e-01, 1, 2, 3, -1.5000000000000000e+00 ]\n"
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" - [ 3, 2, 1, 5.0000000000000000e-01, 1, 2, 3, -1.5000000000000000e+00 ]\n"
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#endif
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);
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);
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cv::FileStorage fs_read(fs_result, cv::FileStorage::READ | cv::FileStorage::MEMORY);
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cv::FileStorage fs_read(fs_result, cv::FileStorage::READ | cv::FileStorage::MEMORY);
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