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@casadi/casadi-wasm

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CasADi — symbolic framework for algorithmic differentiation and numerical optimization, compiled to WebAssembly. Runs in Node.js with on-demand solver plugins (ipopt, fatrop, sundials, ...).

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// // MIT No Attribution // // Copyright (C) 2010-2023 Joel Andersson, Joris Gillis, Moritz Diehl, KU Leuven. // // 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. // // 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. // // // JS port of docs/examples/python/accessing_sx_algorithm.py. // // Demonstrates how the algorithm of an SX Function can be accessed and // its atomic operations traversed, re-evaluating it by hand. // // JS notes (see README.md): // * Opcode enums (M.Operation.OP_*) and instruction_id() are both // bigint, so compare them directly with `===`. // * instruction_output(k) / instruction_input(k) return number[]. // * sz_w() / n_instructions() are bigint -> wrap with Number() for loops. async function example(M, log) { const OP = M.Operation; // Create a function const a = M.SX.sym("a"); const b = M.SX.sym("b", 2); const f = new M.Function("f", [a, b], [M.plus(M.times(M.SX(2), a), b)], ["a", "b"], ["r"]); // Input / output values of matching dimensions const input_val = [[2.0], [3.0, 4.0]]; const output_val = [[0.0, 0.0]]; // Work vector const work = new Array(Number(f.sz_w())).fill(0); // Loop over the algorithm const n = Number(f.n_instructions()); for (let k = 0; k < n; ++k) { const op = f.instruction_id(k); const o = f.instruction_output(k); const i = f.instruction_input(k); if (op === OP.OP_CONST) { work[o[0]] = f.instruction_constant(k); log(`work[${o[0]}] = ${work[o[0]]}`); } else if (op === OP.OP_INPUT) { work[o[0]] = input_val[i[0]][i[1]]; log(`work[${o[0]}] = input[${i[0]}][${i[1]}] ---> ${work[o[0]]}`); } else if (op === OP.OP_OUTPUT) { output_val[o[0]][o[1]] = work[i[0]]; log(`output[${o[0]}][${o[1]}] = work[${i[0]}] ---> ${output_val[o[0]][o[1]]}`); } else if (op === OP.OP_TWICE) { work[o[0]] = 2 * work[i[0]]; log(`work[${o[0]}] = 2*work[${i[0]}] ---> ${work[o[0]]}`); } else if (op === OP.OP_ADD) { work[o[0]] = work[i[0]] + work[i[1]]; log(`work[${o[0]}] = work[${i[0]}] + work[${i[1]}] ---> ${work[o[0]]}`); } else if (op === OP.OP_MUL) { work[o[0]] = work[i[0]] * work[i[1]]; log(`work[${o[0]}] = work[${i[0]}] * work[${i[1]}] ---> ${work[o[0]]}`); } else { throw new Error("Unknown operation id " + op + " at instruction " + k); } } log("------"); log("Evaluated " + f.str()); log("Expected: " + f.call([M.DM(input_val[0]), M.DM(input_val[1])])[0].nonzeros().join(" ")); log("Got: " + output_val[0].join(" ")); } if (typeof require !== "undefined" && typeof module !== "undefined" && require.main === module) { const path = require("path"); const casadiPath = process.env.CASADI_JS || path.resolve(__dirname, "../../../build-wasm/swig/wasm-js/casadi.js"); require(casadiPath)() .then((M) => example(M, (...a) => console.log(...a))) .catch((e) => { console.error("FATAL:", e.message || e); process.exit(1); }); } if (typeof module !== "undefined" && module.exports) module.exports = example;