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| 1 | +"""Tests for int32 default label dtype.""" |
| 2 | + |
| 3 | +import numpy as np |
| 4 | +import pytest |
| 5 | + |
| 6 | +from linopy import Model |
| 7 | +from linopy.constants import DEFAULT_LABEL_DTYPE |
| 8 | + |
| 9 | + |
| 10 | +def test_default_label_dtype_is_int32(): |
| 11 | + assert DEFAULT_LABEL_DTYPE == np.int32 |
| 12 | + |
| 13 | + |
| 14 | +def test_variable_labels_are_int32(): |
| 15 | + m = Model() |
| 16 | + x = m.add_variables(lower=0, upper=10, coords=[range(5)], name="x") |
| 17 | + assert x.labels.dtype == np.int32 |
| 18 | + |
| 19 | + |
| 20 | +def test_constraint_labels_are_int32(): |
| 21 | + m = Model() |
| 22 | + x = m.add_variables(lower=0, upper=10, coords=[range(5)], name="x") |
| 23 | + m.add_constraints(x >= 1, name="c") |
| 24 | + assert m.constraints["c"].labels.dtype == np.int32 |
| 25 | + |
| 26 | + |
| 27 | +def test_expression_vars_are_int32(): |
| 28 | + m = Model() |
| 29 | + x = m.add_variables(lower=0, upper=10, coords=[range(5)], name="x") |
| 30 | + expr = 2 * x + 1 |
| 31 | + assert expr.vars.dtype == np.int32 |
| 32 | + |
| 33 | + |
| 34 | +def test_solve_with_int32_labels(): |
| 35 | + m = Model() |
| 36 | + x = m.add_variables(lower=0, upper=10, name="x") |
| 37 | + y = m.add_variables(lower=0, upper=10, name="y") |
| 38 | + m.add_constraints(x + y <= 15, name="c1") |
| 39 | + m.add_objective(x + 2 * y, sense="max") |
| 40 | + m.solve("highs") |
| 41 | + assert m.objective.value == pytest.approx(25.0) |
| 42 | + |
| 43 | + |
| 44 | +def test_overflow_guard_variables(): |
| 45 | + m = Model() |
| 46 | + m._xCounter = np.iinfo(np.int32).max - 1 |
| 47 | + with pytest.raises(ValueError, match="exceeds the maximum"): |
| 48 | + m.add_variables(lower=0, upper=1, coords=[range(5)], name="x") |
| 49 | + |
| 50 | + |
| 51 | +def test_overflow_guard_constraints(): |
| 52 | + m = Model() |
| 53 | + x = m.add_variables(lower=0, upper=1, coords=[range(5)], name="x") |
| 54 | + m._cCounter = np.iinfo(np.int32).max - 1 |
| 55 | + with pytest.raises(ValueError, match="exceeds the maximum"): |
| 56 | + m.add_constraints(x >= 0, name="c") |
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