6822505602
Uses statrs for numerical functions REFACTOR: Put statistical functions on its own module This might seem counter-intuitive but the wasm build after this refactor is 1528 bytes smaller :)
33 lines
969 B
Rust
33 lines
969 B
Rust
#![allow(clippy::unwrap_used)]
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use crate::test::util::new_empty_model;
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#[test]
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fn test_fn_expon_dist_smoke() {
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let mut model = new_empty_model();
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// λ = 1, x = 0.5
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// CDF = 1 - e^-0.5 ≈ 0.393469340
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// PDF = e^-0.5 ≈ 0.606530660
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model._set("A1", "=EXPON.DIST(0.5, 1, TRUE)");
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model._set("A2", "=EXPON.DIST(0.5, 1, FALSE)");
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// Wrong number of args
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model._set("A3", "=EXPON.DIST(0.5, 1)");
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model._set("A4", "=EXPON.DIST(0.5, 1, TRUE, FALSE)");
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// Domain errors
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model._set("A5", "=EXPON.DIST(-1, 1, TRUE)"); // x < 0
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model._set("A6", "=EXPON.DIST(0.5, 0, TRUE)"); // lambda <= 0
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model.evaluate();
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assert_eq!(model._get_text("A1"), *"0.39346934");
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assert_eq!(model._get_text("A2"), *"0.60653066");
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assert_eq!(model._get_text("A3"), *"#ERROR!");
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assert_eq!(model._get_text("A4"), *"#ERROR!");
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assert_eq!(model._get_text("A5"), *"#NUM!");
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assert_eq!(model._get_text("A6"), *"#NUM!");
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}
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