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Squashed 'scipy/optimize/_highs/' changes from 46edda35a..57f9aa928
57f9aa928 Merge remote-tracking branch 'upstream/master' f6b518d13 Remove print statements 9970e1ca7 Change order of model status enums and export enums to make consistency automatic; found upstream bug in simplex solver 1e06c8a51 Merge pull request scipy#333 from ERGO-Code/dev-presolve e6b6f3162 actually moved files now 5d5faf597 scaffold files copied out. TestPresolve runs OK: now time to extract exec details from presolve. 689a24ebc path to files of HiGHS or scaffold fixed. TestPresolve works. c391eb362 instances added 6d339204b test presolve now not finding test files: the scaffold lib does not know where check/ is. it is easiest if we add files to scaffold and use them for test. ba10975f8 cmake fixes scaffold building with Highs.h in TestPresolve e53363dab added failing line to TestPresolve. cmake files fixes removed two issues. still get an error eef016f10 Merge pull request scipy#332 from ERGO-Code/ImproveCAPIexample aec2f6f5a Added a lot of comments to examples/call_highs_from_c.c 84e9f0e50 Names of arrays in examples/call_highs_from_c.c now match those in highs_c_api.cpp, and Highs_passLp is now correct in handling astart with only numcol entries 8b85654d8 command line options library moved to app/ so out of src/ 4d1534338 uses interface libraries in cmake b6a902fd6 Merge pull request scipy#318 from ERGO-Code/newlpfilereader 134c2b0f3 Merge branch 'master' into dev-presolve deed95b6e Merge remote-tracking branch 'ergo/master' 04472e386 fixed bug in .lp filewriter 8f54ecee3 fixed compilation issues 8483eaf12 Merge branch 'master' into newlpfilereader 79cec5994 Check primal feasibility to know if solution exists 02e0c8cb4 separated test from dev namespaces. next: add tests for component and dev 1fab41ba5 Merge pull request #4 from galabovaa/dev-presolve c15eeaa25 removed unnecesary code in LP filereader 94e82f41d added missing header 29055001c updated LP filereader d3108f2cc pull bugfix from reader repository f1b684001 replace LP filereader git-subtree-dir: scipy/optimize/_highs git-subtree-split: 57f9aa928c5232092819807e726d3444650d42ad
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# create highs binary using library without pic | ||
add_executable(highs) | ||
target_sources(highs PRIVATE RunHighs.cpp) | ||
target_include_directories(highs PRIVATE ${HIGHS_SOURCE_DIR}/app) | ||
target_link_libraries(highs libhighs) | ||
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# install the binary | ||
install(TARGETS highs EXPORT highs-targets | ||
RUNTIME DESTINATION bin) |
File renamed without changes.
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#include "interfaces/highs_c_api.h" | ||
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#include <stdio.h> | ||
#include <stdlib.h> | ||
#include <assert.h> | ||
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// gcc call_highs_from_c.c -o highstest -I ../build/install_folder/include/ -L ../build/install_folder/lib/ -lhighs | ||
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void minimal_api() { | ||
// This illustrates the use of Highs_call, the simple C interface to | ||
// HiGHS. It's designed to solve the general LP problem | ||
// | ||
// Min c^Tx subject to L <= Ax <= U; l <= x <= u | ||
// | ||
// where A is a matrix with m rows and n columns | ||
// | ||
// The scalar n is numcol | ||
// The scalar m is numrow | ||
// | ||
// The vector c is colcost | ||
// The vector l is collower | ||
// The vector u is colupper | ||
// The vector L is rowlower | ||
// The vector U is rowupper | ||
// | ||
// The matrix A is represented in packed column-wise form: only its | ||
// nonzeros are stored | ||
// | ||
// * The number of nonzeros in A is nnz | ||
// | ||
// * The row indices of the nonnzeros in A are stored column-by-column | ||
// in aindex | ||
// | ||
// * The values of the nonnzeros in A are stored column-by-column in | ||
// avalue | ||
// | ||
// * The position in aindex/avalue of the index/value of the first | ||
// nonzero in each column is stored in astart | ||
// | ||
// Note that astart[0] must be zero | ||
// | ||
// After a successful call to Highs_call, the primal and dual | ||
// solution, and the simplex basis are returned as follows | ||
// | ||
// The vector x is colvalue | ||
// The vector Ax is rowvalue | ||
// The vector of dual values for the variables x is coldual | ||
// The vector of dual values for the variables Ax is rowdual | ||
// The basic/nonbasic status of the variables x is colbasisstatus | ||
// The basic/nonbasic status of the variables Ax is rowbasisstatus | ||
// | ||
// The status of the solution obtained is modelstatus | ||
// | ||
// To solve maximization problems, the values in c must be negated | ||
// | ||
// The use of Highs_call is illustrated for the LP | ||
// | ||
// Min f = 2x_0 + 3x_1 | ||
// s.t. x_1 <= 6 | ||
// 10 <= x_0 + 2x_1 <= 14 | ||
// 8 <= 2x_0 + x_1 | ||
// 0 <= x_0 <= 3; 1 <= x_1 | ||
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int numcol = 2; | ||
int numrow = 3; | ||
int nnz = 5; | ||
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// Define the column costs, lower bounds and upper bounds | ||
double colcost[numcol] = {2.0, 3.0}; | ||
double collower[numcol] = {0.0, 1.0}; | ||
double colupper[numcol] = {3.0, 1.0e30}; | ||
// Define the row lower bounds and upper bounds | ||
double rowlower[numrow] = {-1.0e30, 10.0, 8.0}; | ||
double rowupper[numrow] = {6.0, 14.0, 1.0e30}; | ||
// Define the constraint matrix column-wise | ||
int astart[numcol] = {0, 2}; | ||
int aindex[nnz] = {1, 2, 0, 1, 2}; | ||
double avalue[nnz] = {1.0, 2.0, 1.0, 2.0, 1.0}; | ||
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double* colvalue = (double*)malloc(sizeof(double) * numcol); | ||
double* coldual = (double*)malloc(sizeof(double) * numcol); | ||
double* rowvalue = (double*)malloc(sizeof(double) * numrow); | ||
double* rowdual = (double*)malloc(sizeof(double) * numrow); | ||
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int* colbasisstatus = (int*)malloc(sizeof(int) * numcol); | ||
int* rowbasisstatus = (int*)malloc(sizeof(int) * numrow); | ||
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int modelstatus; | ||
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int status = Highs_call(numcol, numrow, nnz, | ||
colcost, collower, colupper, | ||
rowlower, rowupper, | ||
astart, aindex, avalue, | ||
colvalue, coldual, rowvalue, rowdual, | ||
colbasisstatus, rowbasisstatus, | ||
&modelstatus); | ||
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assert(status == 0); | ||
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printf("Run status = %d; Model status = %d\n", status, modelstatus); | ||
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int i; | ||
if (modelstatus == 9) { | ||
// Report the column primal and dual values, and basis status | ||
for (i = 0; i < numcol; i++) { | ||
printf("Col%d = %lf; dual = %lf; status = %d; \n", i, colvalue[i], coldual[i], colbasisstatus[i]); | ||
} | ||
// Report the row primal and dual values, and basis status | ||
for (i = 0; i < numrow; i++) { | ||
printf("Row%d = %lf; dual = %lf; status = %d; \n", i, rowvalue[i], rowdual[i], rowbasisstatus[i]); | ||
} | ||
} | ||
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free(colvalue); | ||
free(coldual); | ||
free(rowvalue); | ||
free(rowdual); | ||
free(colbasisstatus); | ||
free(rowbasisstatus); | ||
} | ||
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void full_api() { | ||
// Form and solve the LP | ||
// Min f = 2x_0 + 3x_1 | ||
// s.t. x_1 <= 6 | ||
// 10 <= x_0 + 2x_1 <= 14 | ||
// 8 <= 2x_0 + x_1 | ||
// 0 <= x_0 <= 3; 1 <= x_1 | ||
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void* highs; | ||
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highs = Highs_create(); | ||
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int numcol = 2; | ||
int numrow = 3; | ||
int nnz = 5; | ||
int i; | ||
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// Define the column costs, lower bounds and upper bounds | ||
double colcost[numcol] = {2.0, 3.0}; | ||
double collower[numcol] = {0.0, 1.0}; | ||
double colupper[numcol] = {3.0, 1.0e30}; | ||
// Define the row lower bounds and upper bounds | ||
double rowlower[numrow] = {-1.0e30, 10.0, 8.0}; | ||
double rowupper[numrow] = {6.0, 14.0, 1.0e30}; | ||
// Define the constraint matrix row-wise, as it is added to the LP | ||
// with the rows | ||
int arstart[numrow] = {0, 1, 3}; | ||
int arindex[nnz] = {1, 0, 1, 0, 1}; | ||
double arvalue[nnz] = {1.0, 1.0, 2.0, 2.0, 1.0}; | ||
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double* colvalue = (double*)malloc(sizeof(double) * numcol); | ||
double* coldual = (double*)malloc(sizeof(double) * numcol); | ||
double* rowvalue = (double*)malloc(sizeof(double) * numrow); | ||
double* rowdual = (double*)malloc(sizeof(double) * numrow); | ||
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int* colbasisstatus = (int*)malloc(sizeof(int) * numcol); | ||
int* rowbasisstatus = (int*)malloc(sizeof(int) * numrow); | ||
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// Add two columns to the empty LP | ||
assert( Highs_addCols(highs, numcol, colcost, collower, colupper, 0, NULL, NULL, NULL) ); | ||
// Add three rows to the 2-column LP | ||
assert( Highs_addRows(highs, numrow, rowlower, rowupper, nnz, arstart, arindex, arvalue) ); | ||
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int* sense; | ||
Highs_getObjectiveSense(highs, sense); | ||
printf("LP problem has objective sense = %d\n", *sense); | ||
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*sense *= -1; | ||
Highs_changeObjectiveSense(highs, *sense); | ||
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*sense *= -1; | ||
Highs_changeObjectiveSense(highs, *sense); | ||
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Highs_getObjectiveSense(highs, sense); | ||
printf("LP problem has old objective sense = %d\n", *sense); | ||
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int simplex_scale_strategy; | ||
Highs_getHighsIntOptionValue(highs, "simplex_scale_strategy", &simplex_scale_strategy); | ||
printf("simplex_scale_strategy = %d: setting it to 3\n", simplex_scale_strategy); | ||
simplex_scale_strategy = 3; | ||
Highs_setHighsIntOptionValue(highs, "simplex_scale_strategy", simplex_scale_strategy); | ||
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double primal_feasibility_tolerance; | ||
Highs_getHighsDoubleOptionValue(highs, "primal_feasibility_tolerance", &primal_feasibility_tolerance); | ||
printf("primal_feasibility_tolerance = %g: setting it to 1e-6\n", primal_feasibility_tolerance); | ||
primal_feasibility_tolerance = 1e-6; | ||
Highs_setHighsDoubleOptionValue(highs, "primal_feasibility_tolerance", primal_feasibility_tolerance); | ||
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int status = Highs_run(highs); | ||
// Get the model status | ||
const int scaled_model = 0; | ||
int modelstatus = Highs_getModelStatus(highs, scaled_model); | ||
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printf("Run status = %d; Model status = %d\n", status, modelstatus); | ||
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double objective_function_value; | ||
Highs_getHighsDoubleInfoValue(highs, "objective_function_value", &objective_function_value); | ||
int simplex_iteration_count = 0; | ||
Highs_getHighsIntInfoValue(highs, "simplex_iteration_count", &simplex_iteration_count); | ||
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printf("Objective value = %g; Iteration count = %d\n", objective_function_value, simplex_iteration_count); | ||
if (modelstatus == 9) { | ||
// Get the primal and dual solution | ||
Highs_getSolution(highs, colvalue, coldual, rowvalue, rowdual); | ||
// Get the basis | ||
Highs_getBasis(highs, colbasisstatus, rowbasisstatus); | ||
// Report the column primal and dual values, and basis status | ||
for (i = 0; i < numcol; i++) { | ||
printf("Col%d = %lf; dual = %lf; status = %d; \n", i, colvalue[i], coldual[i], colbasisstatus[i]); | ||
} | ||
// Report the row primal and dual values, and basis status | ||
for (i = 0; i < numrow; i++) { | ||
printf("Row%d = %lf; dual = %lf; status = %d; \n", i, rowvalue[i], rowdual[i], rowbasisstatus[i]); | ||
} | ||
} | ||
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free(colvalue); | ||
free(coldual); | ||
free(rowvalue); | ||
free(rowdual); | ||
free(colbasisstatus); | ||
free(rowbasisstatus); | ||
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Highs_destroy(highs); | ||
} | ||
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int main() { | ||
minimal_api(); | ||
full_api(); | ||
return 0; | ||
} |
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Copyright (c) 2020 Michael Feldmeier | ||
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Permission is hereby granted, free of charge, to any person obtaining a copy | ||
of this software and associated documentation files (the "Software"), to deal | ||
in the Software without restriction, including without limitation the rights | ||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | ||
copies of the Software, and to permit persons to whom the Software is | ||
furnished to do so, subject to the following conditions: | ||
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The above copyright notice and this permission notice shall be included in all | ||
copies or substantial portions of the Software. | ||
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | ||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | ||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | ||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | ||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | ||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | ||
SOFTWARE. |
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#ifndef __READERLP_BUILDER_HPP__ | ||
#define __READERLP_BUILDER_HPP__ | ||
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#include <map> | ||
#include <memory> | ||
#include <string> | ||
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#include "model.hpp" | ||
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struct Builder { | ||
std::map<std::string, std::shared_ptr<Variable>> variables; | ||
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Model model; | ||
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std::shared_ptr<Variable> getvarbyname(std::string name) { | ||
if (variables.count(name) == 0) { | ||
variables[name] = std::shared_ptr<Variable>(new Variable(name)); | ||
model.variables.push_back(variables[name]); | ||
} | ||
return variables[name]; | ||
} | ||
}; | ||
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#endif |
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#ifndef __READERLP_MODEL_HPP__ | ||
#define __READERLP_MODEL_HPP__ | ||
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#include <limits> | ||
#include <memory> | ||
#include <string> | ||
#include <vector> | ||
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enum class VariableType { | ||
CONTINUOUS, | ||
BINARY, | ||
GENERAL, | ||
SEMICONTINUOUS | ||
}; | ||
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enum class ObjectiveSense { | ||
MIN, | ||
MAX | ||
}; | ||
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struct Variable { | ||
VariableType type = VariableType::CONTINUOUS; | ||
double lowerbound = 0.0; | ||
double upperbound = std::numeric_limits<double>::infinity(); | ||
std::string name; | ||
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Variable(std::string n="") : name(n) {}; | ||
}; | ||
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struct LinTerm { | ||
std::shared_ptr<Variable> var; | ||
double coef; | ||
}; | ||
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struct QuadTerm { | ||
std::shared_ptr<Variable> var1; | ||
std::shared_ptr<Variable> var2; | ||
double coef; | ||
}; | ||
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struct Expression { | ||
std::vector<std::shared_ptr<LinTerm>> linterms; | ||
std::vector<std::shared_ptr<QuadTerm>> quadterms; | ||
double offset = 0; | ||
std::string name = ""; | ||
}; | ||
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struct Constraint { | ||
double lowerbound = -std::numeric_limits<double>::infinity(); | ||
double upperbound = std::numeric_limits<double>::infinity(); | ||
std::shared_ptr<Expression> expr; | ||
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Constraint() : expr(std::shared_ptr<Expression>(new Expression)) {}; | ||
}; | ||
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struct Model { | ||
std::shared_ptr<Expression> objective; | ||
ObjectiveSense sense; | ||
std::vector<std::shared_ptr<Constraint>> constraints; | ||
std::vector<std::shared_ptr<Variable>> variables; | ||
}; | ||
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#endif |
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