Used With Snap+data:image/png;base64,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Used With Snap+

10

The identity function: reports its input. It's useful to get things like 3/4 or 5-2i into numeric input slots.

secondsecond minute hour day week month year decade century milleniumminutehourdayweekmonthyeardecadecenturymillenium

millisecondmillisecond minute hour day week month year decade century millenium

millisecondmillisecond second hour day week month year decade century millenium

millisecondmillisecond second minute day week month year decade century millenium

millisecondmillisecond second minute hour week month year decade century millenium

millisecondmillisecond second minute hour day month year decade century millenium

millisecondmillisecond second minute hour day week year decade century millenium

millisecondmillisecond second minute hour day week month decade century millenium

millisecondmillisecond second minute hour day week month year century millenium

millisecondmillisecond second minute hour day week month year decade millenium

millisecondmillisecond second minute hour day week month year decade century

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1The factorial function, to make very large numbers, to demo bignums.

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1call with True to turn on the entire Scheme numeric tower, including infinite-precision integers, exact rationals, and complex numbers; call with False to restore native JavaScript arithmetic.

pt:altera utilização de aritmética do Scheme para _ ca:sistema numèric d'Scheme _ pl:system liczbowy Scheme _ Provides Scheme arithmetic functions not in JavaScript

pt:_ de _ ca:Scheme _ de _ pl:liczba _ z _ number? complex? real? rational? integer? exact? inexact? exact inexact finite? infinite? nan? numerator denominator real-part imag-part magnitude 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