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zoekt
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internal
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e2e
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testdata
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at
7c5b77843b4e44ebf640fa5afb08ef9e6dc778c3
16 files
Stefan Hengl
ranking: allow partial overlap with symbol (#742)
2y ago
74bbcc9d
Get_databaseuser.txt
ranking: allow partial overlap with symbol (#742) With this update, we score matches which overlap with a symbol in any way. Before, we only added a score if the match was fully contained in a symbol. Test plan: - new unit tests - updated scoring tests
2 years ago
InternalDoer.txt
e2e: recall and visual indication of ranks (#714) This adds a new field to the golden files "targetRank" which records the rank of the document we are looking for. Additionally the document is marked with "**" in the golden files. Additionally we add a new golden file which contains recall@1, recall@5 and the MRR. I set the target documents by looking at the existing results and guessing which was the one we wanted based on memory. In some cases we no longer had the top document, for example for generate unit test. Test Plan: go test
2 years ago
Repository_metadata_Write_rbac.txt
e2e: recall and visual indication of ranks (#714) This adds a new field to the golden files "targetRank" which records the rank of the document we are looking for. Additionally the document is marked with "**" in the golden files. Additionally we add a new golden file which contains recall@1, recall@5 and the MRR. I set the target documents by looking at the existing results and guessing which was the one we wanted based on memory. In some cases we no longer had the top document, for example for generate unit test. Test Plan: go test
2 years ago
assets_are_not_configured_for_this_binary.txt
score: introduce query.Boost to scale score (#728) This commit introduces a new primitive Boost to our query language. It allows boosting (or dampening) the contribution to the score a query atoms will match contribute. To achieve this we introduce boostMatchTree which records this weight. We then adjust the visitMatches to take an initial score weight (1.0), and then each time we recurse through a boostMatchTree the score weight is multiplied by the boost weight. Additionally candidateMatch now has a new field, scoreWeight, which records the weight at time of candidate collection. Without boosting in the query this value will always be 1. Finally when scoring a candidateMatch we take the final score for it and multiply it by scoreWeight. Note: we do not expose a way to set this in the query language, only the query API. Test Plan: Manual testing against webserver via the new phrase-boost URL param. Additionally updated ranking tests to use the phrase booster.
2 years ago
bufio_buffer.txt
e2e: add a ranking test case for "zoekt searcher" (#720) This example was given in our channel recently as a good result, so lets keep track of it to ensure we don't regress. Test Plan: go test
2 years ago
bufio_flush_writer.txt
e2e: add a ranking test case for "zoekt searcher" (#720) This example was given in our channel recently as a good result, so lets keep track of it to ensure we don't regress. Test Plan: go test
2 years ago
bytes_buffer.txt
e2e: recall and visual indication of ranks (#714) This adds a new field to the golden files "targetRank" which records the rank of the document we are looking for. Additionally the document is marked with "**" in the golden files. Additionally we add a new golden file which contains recall@1, recall@5 and the MRR. I set the target documents by looking at the existing results and guessing which was the one we wanted based on memory. In some cases we no longer had the top document, for example for generate unit test. Test Plan: go test
2 years ago
coverage_data_writer.txt
ranking: allow partial overlap with symbol (#742) With this update, we score matches which overlap with a symbol in any way. Before, we only added a score if the match was fully contained in a symbol. Test plan: - new unit tests - updated scoring tests
2 years ago
generate_unit_test.txt
score: introduce query.Boost to scale score (#728) This commit introduces a new primitive Boost to our query language. It allows boosting (or dampening) the contribution to the score a query atoms will match contribute. To achieve this we introduce boostMatchTree which records this weight. We then adjust the visitMatches to take an initial score weight (1.0), and then each time we recurse through a boostMatchTree the score weight is multiplied by the boost weight. Additionally candidateMatch now has a new field, scoreWeight, which records the weight at time of candidate collection. Without boosting in the query this value will always be 1. Finally when scoring a candidateMatch we take the final score for it and multiply it by scoreWeight. Note: we do not expose a way to set this in the query language, only the query API. Test Plan: Manual testing against webserver via the new phrase-boost URL param. Additionally updated ranking tests to use the phrase booster.
2 years ago
graphql_type_User.txt
e2e: recall and visual indication of ranks (#714) This adds a new field to the golden files "targetRank" which records the rank of the document we are looking for. Additionally the document is marked with "**" in the golden files. Additionally we add a new golden file which contains recall@1, recall@5 and the MRR. I set the target documents by looking at the existing results and guessing which was the one we wanted based on memory. In some cases we no longer had the top document, for example for generate unit test. Test Plan: go test
2 years ago
r_cody_sourcegraph_url.txt
e2e: recall and visual indication of ranks (#714) This adds a new field to the golden files "targetRank" which records the rank of the document we are looking for. Additionally the document is marked with "**" in the golden files. Additionally we add a new golden file which contains recall@1, recall@5 and the MRR. I set the target documents by looking at the existing results and guessing which was the one we wanted based on memory. In some cases we no longer had the top document, for example for generate unit test. Test Plan: go test
2 years ago
rank_stats.txt
ranking: allow partial overlap with symbol (#742) With this update, we score matches which overlap with a symbol in any way. Before, we only added a score if the match was fully contained in a symbol. Test plan: - new unit tests - updated scoring tests
2 years ago
sourcegraphserver_docker_image_build.txt
score: introduce query.Boost to scale score (#728) This commit introduces a new primitive Boost to our query language. It allows boosting (or dampening) the contribution to the score a query atoms will match contribute. To achieve this we introduce boostMatchTree which records this weight. We then adjust the visitMatches to take an initial score weight (1.0), and then each time we recurse through a boostMatchTree the score weight is multiplied by the boost weight. Additionally candidateMatch now has a new field, scoreWeight, which records the weight at time of candidate collection. Without boosting in the query this value will always be 1. Finally when scoring a candidateMatch we take the final score for it and multiply it by scoreWeight. Note: we do not expose a way to set this in the query language, only the query API. Test Plan: Manual testing against webserver via the new phrase-boost URL param. Additionally updated ranking tests to use the phrase booster.
2 years ago
test_server.txt
e2e: add a ranking test case for "zoekt searcher" (#720) This example was given in our channel recently as a good result, so lets keep track of it to ensure we don't regress. Test Plan: go test
2 years ago
time_compare.txt
ranking: allow partial overlap with symbol (#742) With this update, we score matches which overlap with a symbol in any way. Before, we only added a score if the match was fully contained in a symbol. Test plan: - new unit tests - updated scoring tests
2 years ago
zoekt_searcher.txt
ranking: allow partial overlap with symbol (#742) With this update, we score matches which overlap with a symbol in any way. Before, we only added a score if the match was fully contained in a symbol. Test plan: - new unit tests - updated scoring tests
2 years ago