sparse_containers.proto

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// Copyright 2010-2025 Google LLC
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
 
// Data structures used throughout MathOpt to model sparse vectors and matrices.
 
syntax = "proto3";
 
package operations_research.service.v1.mathopt;
 
option java_multiple_files = true;
option java_package = "com.google.ortools.service.v1.mathopt";
 
option csharp_namespace = "Google.OrTools.Service";
 
// A sparse representation of a vector of doubles.
message SparseDoubleVectorProto {
  // Must be sorted (in increasing ordering) with all elements distinct.
  repeated int64 ids = 1;
  // Must have equal length to ids. May not contain NaN.
  repeated double values = 2;
}
 
// A sparse representation of a vector of bools.
message SparseBoolVectorProto {
  // Should be sorted (in increasing ordering) with all elements distinct.
  repeated int64 ids = 1;
  // Must have equal length to ids.
  repeated bool values = 2;
}
 
// A sparse representation of a vector of ints.
message SparseInt32VectorProto {
  // Should be sorted (in increasing ordering) with all elements distinct.
  repeated int64 ids = 1;
  // Must have equal length to ids.
  repeated int32 values = 2;
}
 
// This message allows to query/set specific parts of a SparseXxxxVector.
// The default behavior is not to filter out anything.
// A common usage is to query only parts of solutions (only non-zero values,
// and/or just a hand-picked set of variable values).
message SparseVectorFilterProto {
  // For SparseBoolVectorProto "zero" is `false`.
  bool skip_zero_values = 1;
  // When true, return only the values corresponding to the IDs listed in
  // filtered_ids.
  bool filter_by_ids = 2;
  // The list of IDs to use when filter_by_ids is true. Must be empty when
  // filter_by_ids is false.
  // NOTE: if this is empty, and filter_by_ids is true, you are saying that
  // you do not want any information in the result.
  repeated int64 filtered_ids = 3;
}
 
// A sparse representation of a matrix of doubles.
//
// The matrix is stored as triples of row id, column id, and coefficient. These
// three vectors must be of equal length. For all i, the tuple (row_ids[i],
// column_ids[i]) should be distinct. Entries must be in row major order.
message SparseDoubleMatrixProto {
  repeated int64 row_ids = 1;
  repeated int64 column_ids = 2;
  // May not contain NaN.
  repeated double coefficients = 3;
}
 
// A sparse representation of a linear expression (a weighted sum of variables,
// plus a constant offset).
message LinearExpressionProto {
  // Ids of variables. Must be sorted (in increasing ordering) with all elements
  // distinct.
  repeated int64 ids = 1;
  // Must have equal length to ids. Values must be finite may not be NaN.
  repeated double coefficients = 2;
  // Must be finite and may not be NaN.
  double offset = 3;
}