Ex 25: Implement pelletClosestToPacman().
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2 changed files with 8 additions and 4 deletions
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@ -16,10 +16,13 @@ Direction PacManAI::suggestedDirection() const {
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// This function is not yet implemented.
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// This function is not yet implemented.
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// You will implement it as part of module 25.
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// You will implement it as part of module 25.
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GridPosition PacManAI::pelletClosestToPacman(GridPosition,
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GridPosition PacManAI::pelletClosestToPacman(GridPosition position,
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std::vector<GridPosition> &) {
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std::vector<GridPosition> & pellets) {
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if (pellets.empty())
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return {0, 0};
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return { 0, 0 };
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return *std::min_element(pellets.begin(), pellets.end(), [position](GridPosition a, GridPosition b) {
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return positionDistance(a, position) < positionDistance(b, position);
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});
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}
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}
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// This function is not yet implemented.
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// This function is not yet implemented.
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@ -7,6 +7,7 @@ TEST_CASE("Find pellet closest to PacMan", "[AI]") {
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PacManAI AI;
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PacManAI AI;
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using TestData = std::tuple<GridPosition, std::vector<GridPosition>, GridPosition>;
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using TestData = std::tuple<GridPosition, std::vector<GridPosition>, GridPosition>;
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auto data = GENERATE(
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auto data = GENERATE(
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TestData{{5, 5}, {}, {0, 0}},
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TestData{{5, 5}, {{5, 6}}, {5, 6}},
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TestData{{5, 5}, {{5, 6}}, {5, 6}},
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TestData{{5, 5}, {{5, 5}}, {5, 5}},
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TestData{{5, 5}, {{5, 5}}, {5, 5}},
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TestData{{5, 5}, {{0, 0}, {5, 6}}, {5, 6}},
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TestData{{5, 5}, {{0, 0}, {5, 6}}, {5, 6}},
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