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// Test that gradients are applied correctly on equations.
---
// Test on cancel
#show math.equation: set text(fill: gradient.linear(..color.map.rainbow))
#show math.equation: box
$ a dot cancel(5) = cancel(25) 5 x + cancel(5) 1 $
---
// Test on frac
#show math.equation: set text(fill: gradient.linear(..color.map.rainbow))
#show math.equation: box
$ nabla dot bold(E) = frac(rho, epsilon_0) $
---
// Test on root
#show math.equation: set text(fill: gradient.linear(..color.map.rainbow))
#show math.equation: box
$ x_"1,2" = frac(-b +- sqrt(b^2 - 4 a c), 2 a) $
---
// Test on matrix
#show math.equation: set text(fill: gradient.linear(..color.map.rainbow))
#show math.equation: box
$ A = mat(
1, 2, 3;
4, 5, 6;
7, 8, 9
) $
---
// Test on underover
#show math.equation: set text(fill: gradient.linear(..color.map.rainbow))
#show math.equation: box
$ underline(X^2) $
$ overline("hello, world!") $
---
// Test a different direction
#show math.equation: set text(fill: gradient.linear(..color.map.rainbow, dir: ttb))
#show math.equation: box
$ A = mat(
1, 2, 3;
4, 5, 6;
7, 8, 9
) $
$ x_"1,2" = frac(-b +- sqrt(b^2 - 4 a c), 2 a) $
---
// Test miscelaneous
#show math.equation: set text(fill: gradient.linear(..color.map.rainbow))
#show math.equation: box
$ hat(x) = bar x bar = vec(x, y, z) = tilde(x) = dot(x) $
$ x prime = vec(1, 2, delim: "[") $
$ sum_(i in NN) 1 + i $
$ attach(
Pi, t: alpha, b: beta,
tl: 1, tr: 2+3, bl: 4+5, br: 6,
) $
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