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79c417b14e
#29319 Signed-off-by: luzhang <luzhang@zilliz.com> Co-authored-by: luzhang <luzhang@zilliz.com>
46 lines
1.5 KiB
C++
46 lines
1.5 KiB
C++
// 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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#include "AlwaysTrueExpr.h"
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namespace milvus {
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namespace exec {
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void
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PhyAlwaysTrueExpr::Eval(EvalCtx& context, VectorPtr& result) {
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int64_t real_batch_size = current_pos_ + batch_size_ >= active_count_
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? active_count_ - current_pos_
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: batch_size_;
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if (real_batch_size == 0) {
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result = nullptr;
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return;
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}
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auto res_vec =
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std::make_shared<ColumnVector>(DataType::BOOL, real_batch_size);
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bool* res_bool = (bool*)res_vec->GetRawData();
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for (size_t i = 0; i < real_batch_size; ++i) {
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res_bool[i] = true;
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}
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result = res_vec;
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current_pos_ += real_batch_size;
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}
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} //namespace exec
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} // namespace milvus
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