ludic.wildlife: pin every transition of the 15 WILD_* states and the dice each draws (phase 27.2a)
Sixteen test programs under tests/*_pins_test.ludic, on today's code, each one tick from a set state through the public step (wildlife_tick_ground / _bird / wildlife_tick, wildlife_release, wildlife_new): the state it goes to, its timer, and how many of the package's rolls it took and which (the next roll is read off a newborn's yaw, compared with a stream of the same seed). IDLE, WANDER, ALERT, WARY, FLEE, CHARGE, GO_DRINK, GO_FEED, DRINK, APPROACH, EAT, TRAPPED, FLY, LAND, PERCH; the droppings' roll before them; the newborn's seven (eight for a bird); what the step leaves alone. tests/pin/ holds the shared step, the dice reader and two species of its own (a tame horse, a crow that never lands on its own). Compiled, not run here: 27.2 holds to them unchanged. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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packages/ludic.wildlife/tests/react_pins_test.ludic
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packages/ludic.wildlife/tests/react_pins_test.ludic
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# react_pins_test.ludic - phase 27.2a: the ends of ALERT and WARY as they stand. Either one, its time
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# up, wanders for 3 + 4 r0 s toward (r1, r2) about the home it had: three rolls, the time first
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import "ludic.wildlife"
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import "ludic.base"
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import "fake"
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import "pin"
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program ReactPins {
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numbers float
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bind WildlifeWorld {
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ground: fn fk_ground
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water: fn fk_water
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players: fn fk_players
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player_on: fn fk_player_on
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player_x: fn fk_x
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player_y: fn fk_y
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player_z: fn fk_z
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about: fn fk_about_of
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lures: fn fk_count
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lure: fn fk_lure
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present: fn fk_present
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spot: fn pn_spot
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taught: fn pn_taught
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}
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test "ALERT, its time up: WANDER 3 + 4 r0 s toward (r1, r2) about home, three rolls" (wildlife_st: mut WildlifeState, wildlife_tests_fake_st: mut WildlifeTestsFakeState) {
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pn_setup(wildlife_st, wildlife_tests_fake_st)
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let a = pn_at(wildlife_st, 2, 10.0, 0.0, WILD_ALERT, 0.01)
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wildlife_seed(wildlife_st, 9)
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pn_step(wildlife_st, a)
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expect_eq(a.state, WILD_WANDER)
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expect_near(a.timer, 3.0 + 4.0 * pn_roll(9, 0), 0.0001)
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expect_near(a.home_x, 10.0, 0.0001)
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expect_near(a.tx, pn_tx(a, 9, 1, 60.0), 0.001)
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expect_near(a.tz, pn_tz(a, 9, 1, 60.0), 0.001)
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expect_eq(pn_drew(wildlife_st, 9), 3)
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}
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test "ALERT before its time: stands still, no roll" (wildlife_st: mut WildlifeState, wildlife_tests_fake_st: mut WildlifeTestsFakeState) {
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pn_setup(wildlife_st, wildlife_tests_fake_st)
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let a = pn_at(wildlife_st, 2, 10.0, 0.0, WILD_ALERT, 5.0)
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a.speed = 3.0
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wildlife_seed(wildlife_st, 9)
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pn_step(wildlife_st, a)
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expect_eq(a.state, WILD_ALERT)
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expect_near(a.speed, 0.0, 0.00001)
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expect_eq(pn_drew(wildlife_st, 9), 0)
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}
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test "WARY, its time up: the step away first, then WANDER 3 + 4 r0 s about the old home, three rolls" (wildlife_st: mut WildlifeState, wildlife_tests_fake_st: mut WildlifeTestsFakeState) {
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pn_setup(wildlife_st, wildlife_tests_fake_st)
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let a = pn_at(wildlife_st, 2, 10.0, 0.0, WILD_WARY, 0.01)
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wildlife_seed(wildlife_st, 9)
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pn_step(wildlife_st, a)
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expect_eq(a.state, WILD_WANDER)
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expect_near(a.timer, 3.0 + 4.0 * pn_roll(9, 0), 0.0001)
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expect_near(a.home_x, 10.0, 0.0001)
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expect(Math.abs(a.x - 10.0) + Math.abs(a.z) > 0.001)
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expect_near(a.tx, pn_tx(a, 9, 1, 60.0), 0.001)
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expect_eq(pn_drew(wildlife_st, 9), 3)
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}
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test "WARY before its time: backs off at 0.8 of its walk, no roll" (wildlife_st: mut WildlifeState, wildlife_tests_fake_st: mut WildlifeTestsFakeState) {
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pn_setup(wildlife_st, wildlife_tests_fake_st)
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let a = pn_at(wildlife_st, 2, 10.0, 0.0, WILD_WARY, 5.0)
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wildlife_seed(wildlife_st, 9)
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pn_step(wildlife_st, a)
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expect_eq(a.state, WILD_WARY)
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expect_near(a.speed, 0.8, 0.0001)
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expect_eq(pn_drew(wildlife_st, 9), 0)
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}
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}
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