Orkuncakilkaya
67d477af77
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>
74 lines
3 KiB
Text
74 lines
3 KiB
Text
# seed_pins_test.ludic - phase 27.2a: seed set out, as it stands (the world is scanned for any once a
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# second, in wildlife_tick). A bird aloft with seed within 120 m and nobody within 0.7 of its flee
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# comes down 1 + 2 r0 m off it at the angle r1; perched at it, it rolls r < 0.12 dt to be FED
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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 SeedPins {
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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 "FLY, seed within 120 m: LAND (30 s) at 1 + 2 r0 m from the seed, angle r1: two 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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pn_lure(wildlife_tests_fake_st, 77, WILD_FEED, WILD_SEED, 0.0, 0.0)
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pn_player(wildlife_tests_fake_st, 500.0, 0.0)
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let a = pn_at(wildlife_st, 3, 0.0, 0.0, WILD_FLY, 5.0)
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wildlife_seed(wildlife_st, 18)
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wildlife_tick(wildlife_st, 0.05, 0.0)
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expect_eq(a.state, WILD_LAND)
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expect_near(a.timer, 30.0, 0.0001)
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let off = 1.0 + 2.0 * pn_roll(18, 0)
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let oa = pn_roll(18, 1) * 6.2831853
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expect_near(a.tx, Math.sin(oa) * off, 0.001)
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expect_near(a.tz, Math.cos(oa) * off, 0.001)
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expect_eq(pn_drew(wildlife_st, 18), 2)
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}
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test "FLY, seed down but somebody within 0.7 of its flee: no coming down, 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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pn_lure(wildlife_tests_fake_st, 77, WILD_FEED, WILD_SEED, 0.0, 0.0)
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pn_player(wildlife_tests_fake_st, 3.0, 0.0)
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let a = pn_at(wildlife_st, 3, 0.0, 0.0, WILD_FLY, 5.0)
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wildlife_seed(wildlife_st, 18)
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wildlife_tick(wildlife_st, 0.05, 0.0)
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expect_eq(a.state, WILD_FLY)
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expect_eq(pn_drew(wildlife_st, 18), 0)
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}
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test "PERCH within 3 m of seed: one roll a tick, under 0.12 dt it is FED (calm 180); it stays" (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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pn_lure(wildlife_tests_fake_st, 77, WILD_FEED, WILD_SEED, 1.0, 0.0)
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pn_player(wildlife_tests_fake_st, 500.0, 0.0)
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let seeds = [25, 11]
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for i in 0 .. 2 {
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let a = pn_at(wildlife_st, 3, 0.0, 0.0, WILD_PERCH, 5.0)
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a.hunger = 50.0
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wildlife_seed(wildlife_st, seeds[i])
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wildlife_tick(wildlife_st, 0.05, 0.0)
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expect_eq(a.state, WILD_PERCH)
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expect_near(a.hunger, 50.0 - 30.0 * 0.05, 0.0001)
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var fed = 0
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if pn_roll(seeds[i], 0) < 0.12 * 0.05 { fed = 1 }
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let fs = pn_drain(wildlife_st)
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expect_eq(pn_count(fs, WILD_FED), fed)
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if fed == 1 { expect_near(a.calm, 180.0, 0.0001) }
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expect_eq(pn_drew(wildlife_st, seeds[i]), 1)
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wildlife_remove(a)
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}
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}
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}
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