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Vector functions: Fix vector.direction() function, improve documentation (#6801)
vector.direction() now returns a normalised vector with direction p1 to p2.
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2 changed files with 38 additions and 41 deletions
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@ -2248,25 +2248,43 @@ The following functions provide escape sequences:
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Spatial Vectors
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---------------
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* `vector.new(a[, b, c])`: returns a vector:
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For the following functions, `v`, `v1`, `v2` are vectors, `p1`, `p2` are positions:
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* `vector.new(a[, b, c])`:
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* Returns a vector.
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* A copy of `a` if `a` is a vector.
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* `{x = a, y = b, z = c}`, if all `a, b, c` are defined
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* `vector.direction(p1, p2)`: returns a vector
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* `vector.distance(p1, p2)`: returns a number
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* `vector.length(v)`: returns a number
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* `vector.normalize(v)`: returns a vector
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* `vector.floor(v)`: returns a vector, each dimension rounded down
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* `vector.round(v)`: returns a vector, each dimension rounded to nearest int
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* `vector.apply(v, func)`: returns a vector
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* `vector.equals(v1, v2)`: returns a boolean
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* `vector.sort(v1, v2)`: returns minp, maxp vectors of the cuboid defined by v1 and v2
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* `{x = a, y = b, z = c}`, if all of `a`, `b`, `c` are defined numbers.
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* `vector.direction(p1, p2)`:
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* Returns a vector of length 1 with direction `p1` to `p2`.
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* If `p1` and `p2` are identical, returns `{x = 0, y = 0, z = 0}`.
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* `vector.distance(p1, p2)`:
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* Returns zero or a positive number, the distance between `p1` and `p2`.
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* `vector.length(v)`:
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* Returns zero or a positive number, the length of vector `v`.
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* `vector.normalize(v)`:
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* Returns a vector of length 1 with direction of vector `v`.
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* If `v` has zero length, returns `{x = 0, y = 0, z = 0}`.
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* `vector.floor(v)`:
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* Returns a vector, each dimension rounded down.
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* `vector.round(v)`:
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* Returns a vector, each dimension rounded to nearest integer.
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* `vector.apply(v, func)`:
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* Returns a vector where the function `func` has been applied to each component.
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* `vector.equals(v1, v2)`:
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* Returns a boolean, `true` if the vectors are identical.
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* `vector.sort(v1, v2)`:
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* Returns in order minp, maxp vectors of the cuboid defined by `v1`, `v2`.
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For the following functions `x` can be either a vector or a number:
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* `vector.add(v, x)`: returns a vector
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* `vector.subtract(v, x)`: returns a vector
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* `vector.multiply(v, x)`: returns a scaled vector or Schur product
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* `vector.divide(v, x)`: returns a scaled vector or Schur quotient
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* `vector.add(v, x)`:
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* Returns a vector.
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* `vector.subtract(v, x)`:
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* Returns a vector.
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* `vector.multiply(v, x)`:
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* Returns a scaled vector or Schur product.
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* `vector.divide(v, x)`:
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* Returns a scaled vector or Schur quotient.
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Helper functions
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----------------
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