mirror of https://github.com/go-gitea/gitea.git
Updated tokenizer to better matching when search for code snippets (#32261)
This PR improves the accuracy of Gitea's code search. Currently, Gitea does not consider statements such as `onsole.log("hello")` as hits when the user searches for `log`. The culprit is how both ES and Bleve are tokenizing the file contents (in both cases, `console.log` is a whole token). In ES' case, we changed the tokenizer to [simple_pattern_split](https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-simplepatternsplit-tokenizer.html#:~:text=The%20simple_pattern_split%20tokenizer%20uses%20a,the%20tokenization%20is%20generally%20faster.). In such a case, tokens are words formed by digits and letters. In Bleve's case, it employs a [letter](https://blevesearch.com/docs/Tokenizers/) tokenizer. Resolves #32220 --------- Signed-off-by: Bruno Sofiato <bruno.sofiato@gmail.com>
This commit is contained in:
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@ -31,6 +31,7 @@ import (
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"github.com/blevesearch/bleve/v2/analysis/token/camelcase"
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"github.com/blevesearch/bleve/v2/analysis/token/lowercase"
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"github.com/blevesearch/bleve/v2/analysis/token/unicodenorm"
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"github.com/blevesearch/bleve/v2/analysis/tokenizer/letter"
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"github.com/blevesearch/bleve/v2/analysis/tokenizer/unicode"
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"github.com/blevesearch/bleve/v2/mapping"
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"github.com/blevesearch/bleve/v2/search/query"
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@ -69,7 +70,7 @@ const (
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filenameIndexerAnalyzer = "filenameIndexerAnalyzer"
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filenameIndexerTokenizer = "filenameIndexerTokenizer"
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repoIndexerDocType = "repoIndexerDocType"
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repoIndexerLatestVersion = 7
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repoIndexerLatestVersion = 8
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)
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// generateBleveIndexMapping generates a bleve index mapping for the repo indexer
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@ -105,7 +106,7 @@ func generateBleveIndexMapping() (mapping.IndexMapping, error) {
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} else if err := mapping.AddCustomAnalyzer(repoIndexerAnalyzer, map[string]any{
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"type": analyzer_custom.Name,
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"char_filters": []string{},
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"tokenizer": unicode.Name,
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"tokenizer": letter.Name,
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"token_filters": []string{unicodeNormalizeName, camelcase.Name, lowercase.Name},
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}); err != nil {
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return nil, err
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@ -30,7 +30,7 @@ import (
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)
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const (
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esRepoIndexerLatestVersion = 2
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esRepoIndexerLatestVersion = 3
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// multi-match-types, currently only 2 types are used
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// Reference: https://www.elastic.co/guide/en/elasticsearch/reference/7.0/query-dsl-multi-match-query.html#multi-match-types
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esMultiMatchTypeBestFields = "best_fields"
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@ -60,6 +60,10 @@ const (
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"settings": {
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"analysis": {
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"analyzer": {
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"content_analyzer": {
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"tokenizer": "content_tokenizer",
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"filter" : ["lowercase"]
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},
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"filename_path_analyzer": {
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"tokenizer": "path_tokenizer"
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},
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@ -68,6 +72,10 @@ const (
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}
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},
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"tokenizer": {
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"content_tokenizer": {
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"type": "simple_pattern_split",
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"pattern": "[^a-zA-Z0-9]"
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},
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"path_tokenizer": {
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"type": "path_hierarchy",
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"delimiter": "/"
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@ -104,7 +112,8 @@ const (
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"content": {
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"type": "text",
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"term_vector": "with_positions_offsets",
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"index": true
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"index": true,
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"analyzer": "content_analyzer"
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},
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"commit_id": {
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"type": "keyword",
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@ -181,6 +181,55 @@ func testIndexer(name string, t *testing.T, indexer internal.Indexer) {
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},
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},
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},
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// Search for matches on the contents of files regardless of case.
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{
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RepoIDs: nil,
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Keyword: "dESCRIPTION",
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Langs: 1,
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Results: []codeSearchResult{
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{
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Filename: "README.md",
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Content: "# repo1\n\nDescription for repo1",
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},
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},
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},
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// Search for an exact match on the filename within the repo '62' (case insenstive).
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// This scenario yields a single result (the file avocado.md on the repo '62')
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{
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RepoIDs: []int64{62},
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Keyword: "AVOCADO.MD",
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Langs: 1,
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Results: []codeSearchResult{
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{
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Filename: "avocado.md",
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Content: "# repo1\n\npineaple pie of cucumber juice",
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},
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},
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},
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// Search for matches on the contents of files when the criteria is a expression.
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{
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RepoIDs: []int64{62},
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Keyword: "console.log",
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Langs: 1,
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Results: []codeSearchResult{
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{
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Filename: "example-file.js",
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Content: "console.log(\"Hello, World!\")",
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},
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},
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},
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// Search for matches on the contents of files when the criteria is part of a expression.
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{
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RepoIDs: []int64{62},
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Keyword: "log",
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Langs: 1,
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Results: []codeSearchResult{
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{
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Filename: "example-file.js",
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Content: "console.log(\"Hello, World!\")",
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},
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},
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},
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}
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for _, kw := range keywords {
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@ -6,12 +6,13 @@ package bleve
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import (
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"errors"
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"os"
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"unicode"
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"code.gitea.io/gitea/modules/log"
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"code.gitea.io/gitea/modules/util"
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"github.com/blevesearch/bleve/v2"
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"github.com/blevesearch/bleve/v2/analysis/tokenizer/unicode"
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unicode_tokenizer "github.com/blevesearch/bleve/v2/analysis/tokenizer/unicode"
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"github.com/blevesearch/bleve/v2/index/upsidedown"
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"github.com/ethantkoenig/rupture"
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)
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@ -57,7 +58,7 @@ func openIndexer(path string, latestVersion int) (bleve.Index, int, error) {
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// may be different on two string and they still be considered equivalent.
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// Given a phrasse, its shortest word determines its fuzziness. If a phrase uses CJK (eg: `갃갃갃` `啊啊啊`), the fuzziness is zero.
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func GuessFuzzinessByKeyword(s string) int {
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tokenizer := unicode.NewUnicodeTokenizer()
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tokenizer := unicode_tokenizer.NewUnicodeTokenizer()
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tokens := tokenizer.Tokenize([]byte(s))
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if len(tokens) > 0 {
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@ -77,8 +78,10 @@ func guessFuzzinessByKeyword(s string) int {
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// according to https://github.com/blevesearch/bleve/issues/1563, the supported max fuzziness is 2
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// magic number 4 was chosen to determine the levenshtein distance per each character of a keyword
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// BUT, when using CJK (eg: `갃갃갃` `啊啊啊`), it mismatches a lot.
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// Likewise, queries whose terms contains characters that are *not* letters should not use fuzziness
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for _, r := range s {
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if r >= 128 {
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if r >= 128 || !unicode.IsLetter(r) {
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return 0
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}
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}
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@ -35,6 +35,14 @@ func TestBleveGuessFuzzinessByKeyword(t *testing.T) {
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Input: "갃갃갃",
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Fuzziness: 0,
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},
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{
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Input: "repo1",
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Fuzziness: 0,
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},
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{
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Input: "avocado.md",
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Fuzziness: 0,
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},
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}
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for _, scenario := range scenarios {
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@ -4,5 +4,6 @@ This repository will be used to test code search. The snippet below shows its di
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├── avocado.md
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├── cucumber.md
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├── ham.md
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└── potato
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└── ham.md
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├── potato
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| └── ham.md
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└── example-file.js
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@ -3,7 +3,7 @@
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65f1bf27bc3bf70f64657658635e66094edbcb4d refs/heads/develop
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65f1bf27bc3bf70f64657658635e66094edbcb4d refs/heads/feature/1
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78fb907e3a3309eae4fe8fef030874cebbf1cd5e refs/heads/home-md-img-check
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3731fe53b763859aaf83e703ee731f6b9447ff1e refs/heads/master
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9f894b61946fd2f7b8b9d8e370e4d62f915522f5 refs/heads/master
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62fb502a7172d4453f0322a2cc85bddffa57f07a refs/heads/pr-to-update
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4649299398e4d39a5c09eb4f534df6f1e1eb87cc refs/heads/sub-home-md-img-check
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3fa2f829675543ecfc16b2891aebe8bf0608a8f4 refs/notes/commits
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P pack-393dc29256bc27cb2ec73898507df710be7a3cf5.pack
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P pack-a7bef76cf6e2b46bc816936ab69306fb10aea571.pack
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@ -4,7 +4,7 @@
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65f1bf27bc3bf70f64657658635e66094edbcb4d refs/heads/develop
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65f1bf27bc3bf70f64657658635e66094edbcb4d refs/heads/feature/1
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78fb907e3a3309eae4fe8fef030874cebbf1cd5e refs/heads/home-md-img-check
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3731fe53b763859aaf83e703ee731f6b9447ff1e refs/heads/master
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9f894b61946fd2f7b8b9d8e370e4d62f915522f5 refs/heads/master
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62fb502a7172d4453f0322a2cc85bddffa57f07a refs/heads/pr-to-update
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4649299398e4d39a5c09eb4f534df6f1e1eb87cc refs/heads/sub-home-md-img-check
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3fa2f829675543ecfc16b2891aebe8bf0608a8f4 refs/notes/commits
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