chore: import upstream snapshot with attribution
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@@ -0,0 +1,237 @@
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/*
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* # Licensed to the LF AI & Data foundation under one
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* # or more contributor license agreements. See the NOTICE file
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* # distributed with this work for additional information
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* # regarding copyright ownership. The ASF licenses this file
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* # to you under the Apache License, Version 2.0 (the
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* # "License"); you may not use this file except in compliance
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* # with the License. You may obtain a copy of the License at
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* #
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* # http://www.apache.org/licenses/LICENSE-2.0
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* #
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* # Unless required by applicable law or agreed to in writing, software
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* # distributed under the License is distributed on an "AS IS" BASIS,
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* # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* # See the License for the specific language governing permissions and
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* # limitations under the License.
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*/
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package function
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import (
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"sync/atomic"
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"testing"
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"github.com/stretchr/testify/mock"
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"github.com/stretchr/testify/suite"
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"github.com/milvus-io/milvus-proto/go-api/v3/commonpb"
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"github.com/milvus-io/milvus-proto/go-api/v3/milvuspb"
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"github.com/milvus-io/milvus-proto/go-api/v3/schemapb"
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"github.com/milvus-io/milvus/internal/util/analyzer"
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"github.com/milvus-io/milvus/internal/util/analyzer/interfaces"
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)
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type MultiAnalyzerBM25FunctionSuite struct {
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suite.Suite
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collection *schemapb.CollectionSchema
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function *schemapb.FunctionSchema
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runner *MultiAnalyzerBM25FunctionRunner
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}
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func (s *MultiAnalyzerBM25FunctionSuite) SetupSuite() {
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s.collection = &schemapb.CollectionSchema{
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Name: "test_collection",
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Fields: []*schemapb.FieldSchema{
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{
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Name: "text",
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FieldID: 101,
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DataType: schemapb.DataType_VarChar,
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TypeParams: []*commonpb.KeyValuePair{
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{
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Key: "max_length",
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Value: "255",
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}, {
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Key: "enable_analyzer",
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Value: "true",
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}, {
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Key: "multi_analyzer_params",
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Value: "{\"by_field\": \"analyzer\", \"analyzers\": {\"default\": { \"type\": \"standard\"}, \"english\": {\"type\": \"english\"}}}",
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},
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},
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},
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{
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Name: "analyzer",
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DataType: schemapb.DataType_VarChar,
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FieldID: 102,
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TypeParams: []*commonpb.KeyValuePair{
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{
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Key: "max_length",
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Value: "255",
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},
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},
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},
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{
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Name: "output",
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FieldID: 103,
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DataType: schemapb.DataType_SparseFloatVector,
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},
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},
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}
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s.function = &schemapb.FunctionSchema{
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Name: "bm25",
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Type: schemapb.FunctionType_BM25,
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InputFieldNames: []string{"text"},
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InputFieldIds: []int64{101},
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OutputFieldNames: []string{"output"},
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OutputFieldIds: []int64{103},
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}
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}
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func (s *MultiAnalyzerBM25FunctionSuite) TestNewMultiAnalyzerBM25FunctionRunner() {
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s.Run("normal", func() {
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runner, err := NewBM25FunctionRunner(s.collection, s.function)
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s.NoError(err)
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s.NotNil(runner)
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_, ok := runner.(*MultiAnalyzerBM25FunctionRunner)
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s.True(ok)
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})
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s.Run("lack dependent field in params", func() {
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// return error when by_field not in params
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_, err := NewMultiAnalyzerBM25FunctionRunner(s.collection, s.function, s.collection.Fields[0], s.collection.Fields[2], "{\"analyzers\": {\"default\": { \"type\": \"standard\"}}}")
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s.Error(err)
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})
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s.Run("dependent field name not string in params", func() {
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// return error when by_field not string
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_, err := NewMultiAnalyzerBM25FunctionRunner(s.collection, s.function, s.collection.Fields[0], s.collection.Fields[2], "\"by_field\": 1, {\"analyzers\": {\"default\": { \"type\": \"standard\"}}}")
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s.Error(err)
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})
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s.Run("dependent field not exist in collection", func() {
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_, err := NewMultiAnalyzerBM25FunctionRunner(s.collection, s.function, s.collection.Fields[0], s.collection.Fields[2], "{\"by_field\": \"not_exist\", \"analyzers\": {\"default\": { \"type\": \"standard\"}}}")
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s.Error(err)
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})
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s.Run("analyzers not exist in params", func() {
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// return error when analyzers not in params
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_, err := NewMultiAnalyzerBM25FunctionRunner(s.collection, s.function, s.collection.Fields[0], s.collection.Fields[2], "{\"by_field\": \"analyzer\"}")
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s.Error(err)
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})
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s.Run("analyzers not json object in params", func() {
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_, err := NewMultiAnalyzerBM25FunctionRunner(s.collection, s.function, s.collection.Fields[0], s.collection.Fields[2], "{\"by_field\": \"analyzer\", \"analyzers\": \"default\"}")
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s.Error(err)
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})
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s.Run("invalid analyzer in analyers", func() {
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_, err := NewMultiAnalyzerBM25FunctionRunner(s.collection, s.function, s.collection.Fields[0], s.collection.Fields[2], "{\"by_field\": \"analyzer\", \"analyzers\": {\"default\": { \"type\": \"invalid\"}}}")
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s.Error(err)
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})
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}
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func (s *MultiAnalyzerBM25FunctionSuite) TestBatchRun() {
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s.Run("normal", func() {
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runner, err := NewBM25FunctionRunner(s.collection, s.function)
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s.NoError(err)
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s.NotNil(runner)
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_, ok := runner.(*MultiAnalyzerBM25FunctionRunner)
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s.True(ok)
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// test batch run
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text := []string{"test of analyzer", "test of analyzer"}
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analyzerName := []string{"english", "default"}
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result, err := runner.BatchRun(text, analyzerName)
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s.NoError(err)
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sparseArray, ok := result[0].(*schemapb.SparseFloatArray)
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s.Require().True(ok)
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s.Require().Equal(2, len(sparseArray.GetContents()))
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// english analyzer will remove stop word like "of"
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// so the result will be two token
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// bytes size will be 2 * 2 * 4 = 16
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s.Equal(16, len(sparseArray.GetContents()[0]))
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// bytes size will be 3 * 2 * 4 = 24
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s.Equal(24, len(sparseArray.GetContents()[1]))
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runner.Close()
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// run after close
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_, err = runner.BatchRun(text, analyzerName)
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s.Error(err)
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})
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}
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func (s *MultiAnalyzerBM25FunctionSuite) TestBatchAnalyze() {
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s.Run("normal", func() {
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runner, err := NewBM25FunctionRunner(s.collection, s.function)
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s.NoError(err)
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s.NotNil(runner)
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analyzer, ok := runner.(Analyzer)
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s.True(ok)
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text := []string{"test of analyzer", "test of analyzer"}
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analyzerName := []string{"english", "default"}
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result, err := analyzer.BatchAnalyze(true, false, text, analyzerName)
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s.NoError(err)
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s.Equal(2, len(result))
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s.Equal(2, len(result[0]))
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s.Equal(3, len(result[1]))
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})
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}
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func (s *MultiAnalyzerBM25FunctionSuite) newTrackingAnalyzer(active *atomic.Int32, maxActive *atomic.Int32) *interfaces.MockAnalyzer {
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tokenizer := interfaces.NewMockAnalyzer(s.T())
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tokenizer.EXPECT().Clone().Return(tokenizer, nil)
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tokenizer.EXPECT().NewTokenStream(mock.Anything).RunAndReturn(func(text string) interfaces.TokenStream {
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return newTrackingTokenStream(text, active, maxActive)
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})
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tokenizer.EXPECT().Destroy().Return()
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return tokenizer
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}
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func (s *MultiAnalyzerBM25FunctionSuite) TestRunReleasesTokenStreamsPerInput() {
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var active, maxActive atomic.Int32
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runner := &MultiAnalyzerBM25FunctionRunner{
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analyzers: map[string]analyzer.Analyzer{
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"default": s.newTrackingAnalyzer(&active, &maxActive),
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},
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}
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dst := make([]map[uint32]float32, 3)
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err := runner.run([]string{"a", "b", "c"}, []string{"default", "default", "default"}, dst)
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s.NoError(err)
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s.Equal(int32(0), active.Load())
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s.Equal(int32(1), maxActive.Load())
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}
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func (s *MultiAnalyzerBM25FunctionSuite) TestAnalyzeReleasesTokenStreamsPerInput() {
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var active, maxActive atomic.Int32
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runner := &MultiAnalyzerBM25FunctionRunner{
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analyzers: map[string]analyzer.Analyzer{
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"default": s.newTrackingAnalyzer(&active, &maxActive),
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},
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}
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dst := make([][]*milvuspb.AnalyzerToken, 3)
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err := runner.analyze([]string{"a", "b", "c"}, []string{"default", "default", "default"}, dst, false, false)
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s.NoError(err)
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s.Equal(int32(0), active.Load())
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s.Equal(int32(1), maxActive.Load())
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}
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func TestMultiAnalyzerBm25Function(t *testing.T) {
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suite.Run(t, new(MultiAnalyzerBM25FunctionSuite))
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}
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