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Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Precise Mathematical Functions
The following functions are supported:
You typically want to install preciso using the NPM CLI, pnpm, yarn, or something similar.
npm install preciso
If you don't have access to a bundler, you can "install" preciso using an HTML script tag, which will set a global preciso variable.
<script src="https://unpkg.com/preciso"></script>
<script>
console.log(preciso.abs("-10"));
// "10"
</script>
Infinity
and -Infinity
NaN
import abs from "preciso/absolute.js";
abs("-10");
"10"
Add two numbers together.
import add from "preciso/add.js";
add("0.1", "0.2"); // 0.1 + 0.2
"0.3"
add("Infinity", "0.1");
"Infinity"
add("Infinity", "-Infinity");
"NaN"
add("Infinity", "-Infinity", { infinity_minus_infinity: null });
null
import binomial_coefficient from "preciso/binomial_coefficient.js";
// 7 choose 3
binomial_coefficient("7", "3")
"35"
import compare from "preciso/compare.js";
compare("0.1", "0.2");
"<"
compare("0.1", "-0.2");
">"
compare("0.1", "+.1");
"="
import ceil from "preciso/ceil.js";
ceil(46);
"46"
ceil(-7.000000000000000000000000000000000000004);
"-7"
import cube_root from "preciso/cube_root.js";
cube_root("8"); // "2"
import divide from "preciso/divide.js";
divide("-714.7008086132632", "8135.725531"); // -714.7008086132632 / 8135.725531
// default is 100 decimal places of precision
'-0.0878472123832102762218908980055167989417759034280282678823325216230183564682007707223868489179001533'
Calculate Euler's Number, also known as e.
import e from "preciso/eulers_number.js";
e();
'2.7182818284590452353602874713526624977572470936999595749669676277240766303535475945713821785251664274'
e({ max_decimal_digits: 10 });
'2.7182818286'
Raise Euler's Number to the given power
import exp from "preciso/exp.js";
exp("-Infinity") // "0"
exp("-1") // "0.3678794411714423..."
exp("0") // "1"
exp("1") // "2.718281828459045..."
exp("2") // "7.389056098930650..."
exp("10") // "22026.46579480671..."
exp("Infinity") // "Infinity"
import factorial from "preciso/factorial.js";
factorial("0");
"1"
factorial("3");
"6"
factorial("10");
"3628800"
import flip_sign from "preciso/flip_sign.js";
flip_sign(10);
-10
flip_sign(-99)
99
// zero has no sign change
flip_sign(0)
0
import floor from "preciso/floor.js";
floor("45.9523663245126542371265437612538671523854172437561258367152356412734512");
"45"
floor("-45.95126753876125376512437641236512473654126345126534712653476152437651243");
"-46"
import mean from "preciso/mean.js";
mean(["1", "10", "4"])
"5"
mean(["1", "2", "8"], { max_decimal_digits: 3 })
"3.667"
mean(["1", "2", "8"], { ellipsis: true })
"3.666..."
Calculate Hypotenuse in two or more dimensions. This was inspired by Math.hypot.
import hypotenuse from "preciso/hypotenuse.js";
hypotenuse("3", "4")
"5"
// calculate in three or more dimensions
hypotenuse("3", "4", "5", { max_decimal_digits: 10 })
"7.0710678118"
// imaginary number support
hypotenuse("3i", "4i")
"5"
import max from "preciso/min.js";
max("0.1", "0.2"); // or max(["0.1", "0.2"]);
"0.2"
import min from "preciso/min.js";
min("0.1", "0.2"); // or min(["0.1", "0.2"]);
"0.1"
import multiply from "preciso/multiply.js";
multiply("-714.7008086132632", "8135.725531"); // -714.7008086132632 * 8135.725531
"-5814609.6156612701214627592"
// multiply three or more numbers
multiply("2", "3", "4");
"24"
// pass in an array of numerical strings
multiply(["2", "3", "4", "5"]);
"120"
multiply(["2", "-Infinity"]);
"-Infinity"
multiply(["0", "-Infinity"]);
"NaN"
multiply(["0", "-Infinity"], { infinity_times_zero: null });
null
Use ordinary least squares for simple linear regression.
ols(
[
["25", "651"],
["28", "762"],
["35", "853"],
["40", "1062"],
["46", "1190"],
["53", "1293"]
],
{ max_decimal_digits: 5 }
);
// variables for equation y = m * x + b
{
m: "23.41401", // slope
b: "82.66978" // y-intercept
}
import pow from "preciso/pow.js";
pow("2", "3")
"8"
pow("-2", "-3")
"-0.125"
// fractional exponents
pow("8", "1/3")
"0.5"
// set zero to the power of zero
pow("0", "0", { zero_to_the_power_of_zero: undefined })
undefined
Calculate reciprocal or multiplicative inverse
import reciprocal from "preciso/reciprocal.js"
reciprocal("0.1");
"10"
// return fraction if applicable
reciprocal("3/4", { fraction: true })
"4/3"
import remainder from "preciso/truncate.js";
remainder("10", "3"); // 10 % 3
"1"
remainder("-0.5", "2"); // -0.5 % 2
"-0.5"
Find the n-th root of a number
import root from "preciso/root.js";
// 4th root of 4096
root("4096", "4"); // 8
// 7th root of 1024
root("1024", "7", { max_decimal_digits: 50 })
'2.69180038526471226388566520750188380873249405355495'
// imaginary number
root("-4", "2"); // "-2i"
import round from "preciso/round.js";
round("0.99")
"1"
round("0.12345");
"0"
// round to the specified number of digits
round("0.12345", { digits: 2 })
"0.12"
import sign from "preciso/subtract.js";
sign("13e451");
"+"
sign("-0.123");
"-"
sign("-0.00");
""
import sort from "preciso/sort.js"
// default is sorting in ascending order (smallest to greatest)
sort(["1", "2", "3"])
["1", "2", "3"]
// sort in descending order from greatest to smallest
sort(["1", "2", "3"], { direction: "descending" })
["3", "2", "1"]
Calculate the softmax function
import softmax from "preciso/softmax.js";
// example data from https://en.wikipedia.org/wiki/Softmax_function
softmax(["1", "2", "3", "4", "1", "2", "3"], { max_decimal_digits: 8 });
["0.02364054", "0.06426166", "0.1746813", "0.474833", "0.02364054", "0.06426166", "0.1746813"]
import square_root from "preciso/square_root.js";
square_root("0.25"); // "0.5"
square_root("16"); // "4"
square_root("-49"); // "7i"
import subtract from "preciso/subtract.js";
subtract("10", "2.14"); // 10 - 2.14
"7.86"
subtract("Infinity", "Infinity");
"NaN"
subtract("Infinity", "Infinity", { infinity_minus_infinity: "0" });
"0"
Similar to add, but can take an array of more than two numbers.
import sum from "preciso/sum.js";
sum(["1", "2", "3"])
"6"
import truncate from "preciso/truncate.js";
truncate("-714.7008086132632"); // equivalent to Math.trunc(-714.7008086132632)
"-714"
FAQs
Precise Mathematical Functions
The npm package preciso receives a total of 10,427 weekly downloads. As such, preciso popularity was classified as popular.
We found that preciso demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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