Glen Whitney
f68c7bd1fb
This allows types to be collected; prior to this commit they were conflicting from different modules. Uses this fix to extend sqrt to bigint, with the convention that it is undefined for non-perfect squares when 'predictable' is false and is the "best" approximation to the square root when 'predictable' is true. Furthermore, for negative bigints, you might get a Gaussian integer when predictable is false; or you will just get your argument back when 'predictable' is true because what other bigint could you give back for a negative bigint? Also had to modify tests on the sign in sqrt(Complex) and add functions 'zero' and 'one' to get types to match, as expected in #27. Adds numerous tests. Resolves #26. Resolves #27.
33 lines
1.1 KiB
JavaScript
33 lines
1.1 KiB
JavaScript
import assert from 'assert'
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import math from '../../src/pocomath.mjs'
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import PocomathInstance from '../../src/core/PocomathInstance.mjs'
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import * as complexSqrt from '../../src/complex/sqrt.mjs'
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describe('complex', () => {
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it('supports sqrt', () => {
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assert.deepStrictEqual(math.sqrt(math.complex(1,0)), 1)
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assert.deepStrictEqual(
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math.sqrt(math.complex(0,1)),
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math.complex(math.sqrt(0.5), math.sqrt(0.5)))
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assert.deepStrictEqual(
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math.sqrt(math.complex(5, 12)),
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math.complex(3, 2))
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math.config.predictable = true
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assert.deepStrictEqual(math.sqrt(math.complex(1,0)), math.complex(1,0))
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assert.deepStrictEqual(
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math.sqrt(math.complex(0,1)),
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math.complex(math.sqrt(0.5), math.sqrt(0.5)))
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math.config.predictable = false
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})
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it('can bundle sqrt', async function () {
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const ms = new PocomathInstance('Minimal Sqrt')
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ms.install(complexSqrt)
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await ms.importDependencies(['number', 'complex'])
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assert.deepStrictEqual(
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ms.sqrt(math.complex(0, -1)),
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math.complex(ms.negate(ms.sqrt(0.5)), ms.sqrt(0.5)))
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})
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})
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