BOSL2/arrays.scad

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//////////////////////////////////////////////////////////////////////
// LibFile: arrays.scad
// List and Array manipulation functions.
// Includes:
// include <BOSL2/std.scad>
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//////////////////////////////////////////////////////////////////////
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// Section: Terminology
// - **List**: An ordered collection of zero or more items. ie: `["a", "b", "c"]`
// - **Vector**: A list of numbers. ie: `[4, 5, 6]`
// - **Array**: A nested list of lists, or list of lists of lists, or deeper. ie: `[[2,3], [4,5], [6,7]]`
// - **Dimension**: The depth of nesting of lists in an array. A List is 1D. A list of lists is 2D. etc.
// - **Set**: A list of unique items.
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// Section: List Query Operations
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
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// Function: is_homogeneous()
// Usage:
// bool = is_homogeneous(list,depth);
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
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// Description:
// Returns true when the list have elements of same type up to the depth `depth`.
// Booleans and numbers are not distinguinshed as of distinct types.
// Arguments:
// l = the list to check
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// depth = the lowest level the check is done
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
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// Example:
// a = is_homogeneous([[1,["a"]], [2,["b"]]]); // Returns true
// b = is_homogeneous([[1,["a"]], [2,[true]]]); // Returns false
// c = is_homogeneous([[1,["a"]], [2,[true]]], 1); // Returns true
// d = is_homogeneous([[1,["a"]], [2,[true]]], 2); // Returns false
// e = is_homogeneous([[1,["a"]], [true,["b"]]]); // Returns true
function is_homogeneous(l, depth=10) =
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
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!is_list(l) || l==[] ? false :
let( l0=l[0] )
[] == [for(i=[1:len(l)-1]) if( ! _same_type(l[i],l0, depth+1) ) 0 ];
function _same_type(a,b, depth) =
(depth==0) ||
(is_undef(a) && is_undef(b)) ||
(is_bool(a) && is_bool(b)) ||
(is_num(a) && is_num(b)) ||
(is_string(a) && is_string(b)) ||
(is_list(a) && is_list(b) && len(a)==len(b)
&& []==[for(i=idx(a)) if( ! _same_type(a[i],b[i],depth-1) ) 0] );
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
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// Function: select()
// Description:
// Returns a portion of a list, wrapping around past the beginning, if end<start.
// The first item is index 0. Negative indexes are counted back from the end.
// The last item is -1. If only the `start` index is given, returns just the value
// at that position.
// Usage:
// item = select(list,start);
// list = select(list,start,end);
// Arguments:
// list = The list to get the portion of.
// start = The index of the first item.
// end = The index of the last item.
// Example:
// l = [3,4,5,6,7,8,9];
// a = select(l, 5, 6); // Returns [8,9]
// b = select(l, 5, 8); // Returns [8,9,3,4]
// c = select(l, 5, 2); // Returns [8,9,3,4,5]
// d = select(l, -3, -1); // Returns [7,8,9]
// e = select(l, 3, 3); // Returns [6]
// f = select(l, 4); // Returns 7
// g = select(l, -2); // Returns 8
// h = select(l, [1:3]); // Returns [4,5,6]
// i = select(l, [1,3]); // Returns [4,6]
function select(list, start, end) =
assert( is_list(list) || is_string(list), "Invalid list.")
let(l=len(list))
l==0
? []
: end==undef
? is_num(start)
? list[ (start%l+l)%l ]
: assert( is_list(start) || is_range(start), "Invalid start parameter")
[for (i=start) list[ (i%l+l)%l ] ]
: assert(is_finite(start), "Invalid start parameter.")
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assert(is_finite(end), "Invalid end parameter.")
let( s = (start%l+l)%l, e = (end%l+l)%l )
(s <= e)
? [for (i = [s:1:e]) list[i]]
: concat([for (i = [s:1:l-1]) list[i]], [for (i = [0:1:e]) list[i]]) ;
// Function: last()
// Usage:
// item = last(list);
// Description:
// Returns the last element of a list, or undef if empty.
// Arguments:
// list = The list to get the last element of.
// Example:
// l = [3,4,5,6,7,8,9];
// x = last(l); // Returns 9.
function last(list) =
list[len(list)-1];
// Function: delete_last()
// Usage:
// list = delete_last(list);
// Description:
// Returns a list with all but the last entry from the input list. If input is empty, returns empty list.
// Example:
// nlist = delete_last(["foo", "bar", "baz"]); // Returns: ["foo", "bar"]
function delete_last(list) =
assert(is_list(list))
list==[] ? [] : slice(list,0,-2);
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// Function: slice()
// Usage:
// list = slice(list,start,end);
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// Description:
// Returns a slice of a list. The first item is index 0.
// Negative indexes are counted back from the end. The last item is -1.
// Arguments:
// list = The array/list to get the slice of.
// start = The index of the first item to return.
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// end = The index after the last item to return, unless negative, in which case the last item to return.
// Example:
// a = slice([3,4,5,6,7,8,9], 3, 5); // Returns [6,7]
// b = slice([3,4,5,6,7,8,9], 2, -1); // Returns [5,6,7,8,9]
// c = slice([3,4,5,6,7,8,9], 1, 1); // Returns []
// d = slice([3,4,5,6,7,8,9], 6, -1); // Returns [9]
// e = slice([3,4,5,6,7,8,9], 2, -2); // Returns [5,6,7,8]
function slice(list,start,end) =
assert( is_list(list), "Invalid list" )
assert( is_finite(start) && is_finite(end), "Invalid number(s)" )
let( l = len(list) )
l==0
? []
: let(
s = start<0? (l+start) : start,
e = end<0? (l+end+1) : end
) [for (i=[s:1:e-1]) if (e>s) list[i]];
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// Function: in_list()
// Usage:
// bool = in_list(val,list, <idx>);
// Description:
// Returns true if value `val` is in list `list`. When `val==NAN` the answer will be false for any list.
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// Arguments:
// val = The simple value to search for.
// list = The list to search.
// idx = If given, searches the given subindex for matches for `val`.
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// Example:
// a = in_list("bar", ["foo", "bar", "baz"]); // Returns true.
// b = in_list("bee", ["foo", "bar", "baz"]); // Returns false.
// c = in_list("bar", [[2,"foo"], [4,"bar"], [3,"baz"]], idx=1); // Returns true.
function in_list(val,list,idx) =
assert( is_list(list) && (is_undef(idx) || is_finite(idx)),
"Invalid input." )
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let( s = search([val], list, num_returns_per_match=1, index_col_num=idx)[0] )
s==[] || s==[[]] ? false
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: is_undef(idx) ? val==list[s]
: val==list[s][idx];
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// Function: min_index()
// Usage:
// idx = min_index(vals);
// idxlist = min_index(vals,all=true);
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// Description:
// Returns the index of the first occurrence of the minimum value in the given list.
// If `all` is true then returns a list of all indices where the minimum value occurs.
// Arguments:
// vals = vector of values
// all = set to true to return indices of all occurences of the minimum. Default: false
// Example:
// a = min_index([5,3,9,6,2,7,8,2,1]); // Returns: 8
// b = min_index([5,3,9,6,2,7,8,2,7],all=true); // Returns: [4,7]
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function min_index(vals, all=false) =
assert( is_vector(vals) && len(vals)>0 , "Invalid or empty list of numbers.")
all ? search(min(vals),vals,0) : search(min(vals), vals)[0];
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// Function: max_index()
// Usage:
// idx = max_index(vals);
// idxlist = max_index(vals,all=true);
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// Description:
// Returns the index of the first occurrence of the maximum value in the given list.
// If `all` is true then returns a list of all indices where the maximum value occurs.
// Arguments:
// vals = vector of values
// all = set to true to return indices of all occurences of the maximum. Default: false
// Example:
// max_index([5,3,9,6,2,7,8,9,1]); // Returns: 2
// max_index([5,3,9,6,2,7,8,9,1],all=true); // Returns: [2,7]
function max_index(vals, all=false) =
assert( is_vector(vals) && len(vals)>0 , "Invalid or empty list of numbers.")
all ? search(max(vals),vals,0) : search(max(vals), vals)[0];
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// Function: list_increasing()
// Usage:
// bool = list_increasing(list);
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// Description:
// Returns true if the list is (non-strictly) increasing
// Example:
// a = list_increasing([1,2,3,4]); // Returns: true
// b = list_increasing([1,3,2,4]); // Returns: false
// c = list_increasing([4,3,2,1]); // Returns: false
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function list_increasing(list) =
assert(is_list(list)||is_string(list))
len([for (p=pair(list)) if(p.x>p.y) true])==0;
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// Function: list_decreasing()
// Usage:
// bool = list_decreasing(list);
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// Description:
// Returns true if the list is (non-strictly) decreasing
// Example:
// a = list_decreasing([1,2,3,4]); // Returns: false
// b = list_decreasing([4,2,3,1]); // Returns: false
// c = list_decreasing([4,3,2,1]); // Returns: true
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function list_decreasing(list) =
assert(is_list(list)||is_string(list))
len([for (p=pair(list)) if(p.x<p.y) true])==0;
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// Section: Basic List Generation
// Function: repeat()
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// Usage:
// list = repeat(val, n);
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// Description:
// Generates a list or array of `n` copies of the given value `val`.
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// If the count `n` is given as a list of counts, then this creates a
// multi-dimensional array, filled with `val`.
// Arguments:
// val = The value to repeat to make the list or array.
// n = The number of copies to make of `val`.
// Example:
// a = repeat(1, 4); // Returns [1,1,1,1]
// b = repeat(8, [2,3]); // Returns [[8,8,8], [8,8,8]]
// c = repeat(0, [2,2,3]); // Returns [[[0,0,0],[0,0,0]], [[0,0,0],[0,0,0]]]
// d = repeat([1,2,3],3); // Returns [[1,2,3], [1,2,3], [1,2,3]]
function repeat(val, n, i=0) =
is_num(n)? [for(j=[1:1:n]) val] :
assert( is_list(n), "Invalid count number.")
(i>=len(n))? val :
[for (j=[1:1:n[i]]) repeat(val, n, i+1)];
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// Function: list_range()
// Usage:
// list = list_range(n=, <s=>, <e=>);
// list = list_range(n=, <s=>, <step=>);
// list = list_range(e=, <step=>);
// list = list_range(s=, e=, <step=>);
// Description:
// Returns a list, counting up from starting value `s`, by `step` increments,
// until either `n` values are in the list, or it reaches the end value `e`.
// If both `n` and `e` are given, returns `n` values evenly spread from `s`
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// to `e`, and `step` is ignored.
// Arguments:
// ---
// n = Desired number of values in returned list, if given.
// s = Starting value. Default: 0
// e = Ending value to stop at, if given.
// step = Amount to increment each value. Default: 1
// Example:
// a = list_range(4); // Returns [0,1,2,3]
// b = list_range(n=4, step=2); // Returns [0,2,4,6]
// c = list_range(n=4, s=3, step=3); // Returns [3,6,9,12]
// d = list_range(n=5, s=0, e=10); // Returns [0, 2.5, 5, 7.5, 10]
// e = list_range(e=3); // Returns [0,1,2,3]
// f = list_range(e=7, step=2); // Returns [0,2,4,6]
// g = list_range(s=3, e=5); // Returns [3,4,5]
// h = list_range(s=3, e=8, step=2); // Returns [3,5,7]
// i = list_range(s=4, e=8.3, step=2); // Returns [4,6,8]
// j = list_range(n=4, s=[3,4], step=[2,3]); // Returns [[3,4], [5,7], [7,10], [9,13]]
function list_range(n, s=0, e, step) =
assert( is_undef(n) || is_finite(n), "Parameter `n` must be a number.")
assert( is_undef(n) || is_undef(e) || is_undef(step), "At most 2 of n, e, and step can be given.")
let( step = (n!=undef && e!=undef)? (e-s)/(n-1) : default(step,1) )
is_undef(e)
? assert( is_consistent([s, step]), "Incompatible data.")
[for (i=[0:1:n-1]) s+step*i ]
: assert( is_vector([s,step,e]), "Start `s`, step `step` and end `e` must be numbers.")
[for (v=[s:step:e]) v] ;
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// Section: List Manipulation
// Function: reverse()
// Usage:
// rlist = reverse(list);
// Description:
// Reverses a list/array or string.
// Arguments:
// x = The list or string to reverse.
// Example:
// reverse([3,4,5,6]); // Returns [6,5,4,3]
function reverse(x) =
assert(is_list(x)||is_string(x), str("Input to reverse must be a list or string. Got: ",x))
let (elems = [ for (i = [len(x)-1 : -1 : 0]) x[i] ])
is_string(x)? str_join(elems) : elems;
// Function: list_rotate()
// Usage:
// rlist = list_rotate(list,<n>);
// Description:
// Rotates the contents of a list by `n` positions left.
// If `n` is negative, then the rotation is `abs(n)` positions to the right.
// If `list` is a string, then a string is returned with the characters rotates within the string.
// Arguments:
// list = The list to rotate.
// n = The number of positions to rotate by. If negative, rotated to the right. Positive rotates to the left. Default: 1
// Example:
// l1 = list_rotate([1,2,3,4,5],-2); // Returns: [4,5,1,2,3]
// l2 = list_rotate([1,2,3,4,5],-1); // Returns: [5,1,2,3,4]
// l3 = list_rotate([1,2,3,4,5],0); // Returns: [1,2,3,4,5]
// l4 = list_rotate([1,2,3,4,5],1); // Returns: [2,3,4,5,1]
// l5 = list_rotate([1,2,3,4,5],2); // Returns: [3,4,5,1,2]
// l6 = list_rotate([1,2,3,4,5],3); // Returns: [4,5,1,2,3]
// l7 = list_rotate([1,2,3,4,5],4); // Returns: [5,1,2,3,4]
// l8 = list_rotate([1,2,3,4,5],5); // Returns: [1,2,3,4,5]
// l9 = list_rotate([1,2,3,4,5],6); // Returns: [2,3,4,5,1]
function list_rotate(list,n=1) =
assert(is_list(list)||is_string(list), "Invalid list or string.")
assert(is_finite(n), "Invalid number")
let (elems = select(list,n,n+len(list)-1))
is_string(list)? str_join(elems) : elems;
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// Function: deduplicate()
// Usage:
// list = deduplicate(list,<close>,<eps>);
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// Description:
// Removes consecutive duplicate items in a list.
// When `eps` is zero, the comparison between consecutive items is exact.
// Otherwise, when all list items and subitems are numbers, the comparison is within the tolerance `eps`.
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// This is different from `unique()` in that the list is *not* sorted.
// Arguments:
// list = The list to deduplicate.
// closed = If true, drops trailing items if they match the first list item.
// eps = The maximum tolerance between items.
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// Examples:
// a = deduplicate([8,3,4,4,4,8,2,3,3,8,8]); // Returns: [8,3,4,8,2,3,8]
// b = deduplicate(closed=true, [8,3,4,4,4,8,2,3,3,8,8]); // Returns: [8,3,4,8,2,3]
// c = deduplicate("Hello"); // Returns: "Helo"
// d = deduplicate([[3,4],[7,2],[7,1.99],[1,4]],eps=0.1); // Returns: [[3,4],[7,2],[1,4]]
// e = deduplicate([[7,undef],[7,undef],[1,4],[1,4+1e-12]],eps=0); // Returns: [[7,undef],[1,4],[1,4+1e-12]]
function deduplicate(list, closed=false, eps=EPSILON) =
assert(is_list(list)||is_string(list))
let(
l = len(list),
end = l-(closed?0:1)
)
is_string(list) ? str_join([for (i=[0:1:l-1]) if (i==end || list[i] != list[(i+1)%l]) list[i]]) :
eps==0 ? [for (i=[0:1:l-1]) if (i==end || list[i] != list[(i+1)%l]) list[i]] :
[for (i=[0:1:l-1]) if (i==end || !approx(list[i], list[(i+1)%l], eps)) list[i]];
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// Function: deduplicate_indexed()
// Usage:
// new_idxs = deduplicate_indexed(list, indices, <closed>, <eps>);
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// Description:
// Given a list, and indices into it, removes consecutive indices that
// index to the same values in the list.
// Arguments:
// list = The list that the indices index into.
// indices = The list of indices to deduplicate.
// closed = If true, drops trailing indices if what they index matches what the first index indexes.
// eps = The maximum difference to allow between numbers or vectors.
// Examples:
// a = deduplicate_indexed([8,6,4,6,3], [1,4,3,1,2,2,0,1]); // Returns: [1,4,3,2,0,1]
// b = deduplicate_indexed([8,6,4,6,3], [1,4,3,1,2,2,0,1], closed=true); // Returns: [1,4,3,2,0]
// c = deduplicate_indexed([[7,undef],[7,undef],[1,4],[1,4],[1,4+1e-12]],eps=0); // Returns: [0,2,4]
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function deduplicate_indexed(list, indices, closed=false, eps=EPSILON) =
assert(is_list(list)||is_string(list), "Improper list or string.")
indices==[]? [] :
assert(is_vector(indices), "Indices must be a list of numbers.")
let(
l = len(indices),
end = l-(closed?0:1)
) [
for (i = [0:1:l-1]) let(
a = list[indices[i]],
b = list[indices[(i+1)%l]],
eq = (a == b)? true :
(a*0 != b*0) || (eps==0)? false :
is_num(a) || is_vector(a) ? approx(a, b, eps=eps)
: false
)
if (i==end || !eq) indices[i]
];
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// Function: repeat_entries()
// Usage:
// newlist = repeat_entries(list, N, <exact>);
// Description:
// Takes a list as input and duplicates some of its entries to produce a list
// with length `N`. If the requested `N` is not a multiple of the list length then
// the entries will be duplicated as uniformly as possible. You can also set `N` to a vector,
// in which case len(N) must equal len(list) and the output repeats the ith entry N[i] times.
// In either case, the result will be a list of length `N`. The `exact` option requires
// that the final length is exactly as requested. If you set it to `false` then the
// algorithm will favor uniformity and the output list may have a different number of
// entries due to rounding.
// .
// When applied to a path the output path is the same geometrical shape but has some vertices
// repeated. This can be useful when you need to align paths with a different number of points.
// (See also subdivide_path for a different way to do that.)
// Arguments:
// list = list whose entries will be repeated
// N = scalar total number of points desired or vector requesting N[i] copies of vertex i.
// exact = if true return exactly the requested number of points, possibly sacrificing uniformity. If false, return uniform points that may not match the number of points requested. Default: True
// Examples:
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// list = [0,1,2,3];
// a = repeat_entries(list, 6); // Returns: [0,0,1,2,2,3]
// b = repeat_entries(list, 6, exact=false); // Returns: [0,0,1,1,2,2,3,3]
// c = repeat_entries(list, [1,1,2,1], exact=false); // Returns: [0,1,2,2,3]
function repeat_entries(list, N, exact=true) =
assert(is_list(list) && len(list)>0, "The list cannot be void.")
assert((is_finite(N) && N>0) || is_vector(N,len(list)),
"Parameter N must be a number greater than zero or vector with the same length of `list`")
let(
length = len(list),
reps_guess = is_list(N)? N : repeat(N/length,length),
reps = exact ?
_sum_preserving_round(reps_guess)
: [for (val=reps_guess) round(val)]
)
[for(i=[0:length-1]) each repeat(list[i],reps[i])];
// Function: list_set()
// Usage:
// list = list_set(list, indices, values, <dflt>, <minlen>);
// Description:
// Takes the input list and returns a new list such that `list[indices[i]] = values[i]` for all of
// the (index,value) pairs supplied and unchanged for other indices. If you supply `indices` that are
// beyond the length of the list then the list is extended and filled in with the `dflt` value.
// If you set `minlen` then the list is lengthed, if necessary, by padding with `dflt` to that length.
// Repetitions in `indices` are not allowed. The lists `indices` and `values` must have the same length.
// If `indices` is given as a scalar, then that index of the given `list` will be set to the scalar value of `values`.
// Arguments:
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// list = List to set items in. Default: []
// indices = List of indices into `list` to set.
// values = List of values to set.
// dflt = Default value to store in sparse skipped indices.
// minlen = Minimum length to expand list to.
// Examples:
// a = list_set([2,3,4,5], 2, 21); // Returns: [2,3,21,5]
// b = list_set([2,3,4,5], [1,3], [81,47]); // Returns: [2,81,4,47]
function list_set(list=[],indices,values,dflt=0,minlen=0) =
assert(is_list(list))
!is_list(indices)? (
(is_finite(indices) && indices<len(list))
? concat([for (i=idx(list)) i==indices? values : list[i]], repeat(dflt, minlen-len(list)))
: list_set(list,[indices],[values],dflt)
) :
indices==[] && values==[]
? concat(list, repeat(dflt, minlen-len(list)))
: assert(is_vector(indices) && is_list(values) && len(values)==len(indices),
"Index list and value list must have the same length")
let( midx = max(len(list)-1, max(indices)) )
[
for (i=[0:1:midx]) let(
j = search(i,indices,0),
k = j[0]
)
assert( len(j)<2, "Repeated indices are not allowed." )
k!=undef
? values[k]
: i<len(list) ? list[i] : dflt,
each repeat(dflt, minlen-max(len(list),max(indices)))
];
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// Function: list_insert()
// Usage:
// list = list_insert(list, indices, values);
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// Description:
// Insert `values` into `list` before position `indices`.
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// Example:
// a = list_insert([3,6,9,12],1,5); // Returns [3,5,6,9,12]
// b = list_insert([3,6,9,12],[1,3],[5,11]); // Returns [3,5,6,9,11,12]
function list_insert(list, indices, values) =
assert(is_list(list))
!is_list(indices) ?
assert( is_finite(indices) && is_finite(values), "Invalid indices/values." )
assert( indices<=len(list), "Indices must be <= len(list) ." )
[
for (i=idx(list)) each ( i==indices? [ values, list[i] ] : [ list[i] ] ),
if (indices==len(list)) values
] :
indices==[] && values==[] ? list :
assert( is_vector(indices) && is_list(values) && len(values)==len(indices),
"Index list and value list must have the same length")
assert( max(indices)<=len(list), "Indices must be <= len(list)." )
let(
maxidx = max(indices),
minidx = min(indices)
) [
for (i=[0:1:minidx-1] ) list[i],
for (i=[minidx : min(maxidx, len(list)-1)] )
let(
j = search(i,indices,0),
k = j[0],
x = assert( len(j)<2, "Repeated indices are not allowed." )
) each ( k != undef ? [ values[k], list[i] ] : [ list[i] ] ),
for ( i = [min(maxidx, len(list)-1)+1 : 1 : len(list)-1] ) list[i],
if (maxidx == len(list)) values[max_index(indices)]
];
// Function: list_remove()
// Usage:
// list = list_remove(list, indices);
// Description:
// Remove all items from `list` whose indexes are in `indices`.
// Arguments:
// list = The list to remove items from.
// indices = The list of indexes of items to remove.
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// Example:
// a = list_insert([3,6,9,12],1); // Returns: [3,9,12]
// b = list_insert([3,6,9,12],[1,3]); // Returns: [3,9]
function list_remove(list, indices) =
assert(is_list(list))
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is_finite(indices) ?
[
for (i=[0:1:min(indices, len(list)-1)-1]) list[i],
for (i=[min(indices, len(list)-1)+1:1:len(list)-1]) list[i]
]
: indices==[] ? list
: assert( is_vector(indices), "Invalid list `indices`." )
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[
for(i=[0:len(list)-1])
if ( []==search(i,indices,1) )
list[i]
];
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// Function: list_remove_values()
// Usage:
// list = list_remove_values(list,values);
// list = list_remove_values(list,values,all=true);
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// Description:
// Removes the first, or all instances of the given `values` from the `list`.
// Returns the modified list.
// Arguments:
// list = The list to modify.
// values = The values to remove from the list.
// all = If true, remove all instances of the value `value` from the list `list`. If false, remove only the first. Default: false
// Example:
// animals = ["bat", "cat", "rat", "dog", "bat", "rat"];
// animals2 = list_remove_values(animals, "rat"); // Returns: ["bat","cat","dog","bat","rat"]
// nonflying = list_remove_values(animals, "bat", all=true); // Returns: ["cat","rat","dog","rat"]
// animals3 = list_remove_values(animals, ["bat","rat"]); // Returns: ["cat","dog","bat","rat"]
// domestic = list_remove_values(animals, ["bat","rat"], all=true); // Returns: ["cat","dog"]
// animals4 = list_remove_values(animals, ["tucan","rat"], all=true); // Returns: ["bat","cat","dog","bat"]
function list_remove_values(list,values=[],all=false) =
assert(is_list(list))
!is_list(values)? list_remove_values(list, values=[values], all=all) :
let(
idxs = all? flatten(search(values,list,0)) : search(values,list,1),
uidxs = unique(idxs)
) list_remove(list,uidxs);
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// Function: bselect()
// Usage:
// array = bselect(array,index);
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// Description:
// Returns the items in `array` whose matching element in `index` is true.
// Arguments:
// array = Initial list to extract items from.
// index = List of booleans.
// Example:
// a = bselect([3,4,5,6,7], [false,true,true,false,true]); // Returns: [4,5,7]
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function bselect(array,index) =
assert(is_list(array)||is_string(array), "Improper array." )
assert(is_list(index) && len(index)>=len(array) , "Improper index list." )
is_string(array)? str_join(bselect( [for (x=array) x], index)) :
[for(i=[0:len(array)-1]) if (index[i]) array[i]];
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// Function: list_bset()
// Usage:
// arr = list_bset(indexset, valuelist, <dflt>);
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// Description:
// Opposite of `bselect()`. Returns a list the same length as `indexlist`, where each item will
// either be 0 if the corresponding item in `indexset` is false, or the next sequential value
// from `valuelist` if the item is true. The number of `true` values in `indexset` must be equal
// to the length of `valuelist`.
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// Arguments:
// indexset = A list of boolean values.
// valuelist = The list of values to set into the returned list.
// dflt = Default value to store when the indexset item is false.
// Example:
// a = list_bset([false,true,false,true,false], [3,4]); // Returns: [0,3,0,4,0]
// b = list_bset([false,true,false,true,false], [3,4], dflt=1); // Returns: [1,3,1,4,1]
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function list_bset(indexset, valuelist, dflt=0) =
assert(is_list(indexset), "The index set is not a list." )
assert(is_list(valuelist), "The `valuelist` is not a list." )
let( trueind = search([true], indexset,0)[0] )
assert( !(len(trueind)>len(valuelist)), str("List `valuelist` too short; its length should be ",len(trueind)) )
assert( !(len(trueind)<len(valuelist)), str("List `valuelist` too long; its length should be ",len(trueind)) )
concat(
list_set([],trueind, valuelist, dflt=dflt), // Fill in all of the values
repeat(dflt,len(indexset)-max(trueind)-1) // Add trailing values so length matches indexset
);
2019-06-26 00:44:21 +00:00
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// Section: List Length Manipulation
// Function: list_shortest()
// Usage:
// llen = list_shortest(array);
// Description:
// Returns the length of the shortest sublist in a list of lists.
// Arguments:
// array = A list of lists.
// Example:
// slen = list_shortest([[3,4,5],[6,7,8,9]]); // Returns: 3
function list_shortest(array) =
assert(is_list(array), "Invalid input." )
min([for (v = array) len(v)]);
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// Function: list_longest()
// Usage:
// llen = list_longest(array);
// Description:
// Returns the length of the longest sublist in a list of lists.
// Arguments:
// array = A list of lists.
// Example:
// llen = list_longest([[3,4,5],[6,7,8,9]]); // Returns: 4
function list_longest(array) =
assert(is_list(array), "Invalid input." )
max([for (v = array) len(v)]);
// Function: list_pad()
// Usage:
// arr = list_pad(array, minlen, <fill>);
// Description:
// If the list `array` is shorter than `minlen` length, pad it to length with the value given in `fill`.
// Arguments:
// array = A list.
// minlen = The minimum length to pad the list to.
// fill = The value to pad the list with. Default: `undef`
// Example:
// list = [3,4,5];
// nlist = list_pad(list,5,23); // Returns: [3,4,5,23,23]
function list_pad(array, minlen, fill) =
assert(is_list(array), "Invalid input." )
concat(array,repeat(fill,minlen-len(array)));
// Function: list_trim()
// Usage:
// arr = list_trim(array, maxlen);
// Description:
// If the list `array` is longer than `maxlen` length, truncates it to be `maxlen` items long.
// Arguments:
// array = A list.
// minlen = The minimum length to pad the list to.
// Example:
// list = [3,4,5,6,7,8];
// nlist = list_trim(list,4); // Returns: [3,4,5,6]
function list_trim(array, maxlen) =
assert(is_list(array), "Invalid input." )
[for (i=[0:1:min(len(array),maxlen)-1]) array[i]];
// Function: list_fit()
// Usage:
// arr = list_fit(array, length, fill);
// Description:
// If the list `array` is longer than `length` items long, truncates it to be exactly `length` items long.
// If the list `array` is shorter than `length` items long, pad it to length with the value given in `fill`.
// Arguments:
// array = A list.
// minlen = The minimum length to pad the list to.
// fill = The value to pad the list with. Default: `undef`
// Example:
// list = [3,4,5,6];
// nlist = list_fit(list,3); // Returns: [3,4,5]
// Example:
// list = [3,4,5,6];
// nlist = list_fit(list,6,23); // Returns: [3,4,5,6,23,23]
function list_fit(array, length, fill) =
assert(is_list(array), "Invalid input." )
let(l=len(array))
l==length ? array :
l> length ? list_trim(array,length)
: list_pad(array,length,fill);
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2020-01-10 00:10:18 +00:00
// Section: List Shuffling and Sorting
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
2020-08-30 11:12:36 +00:00
// returns true for valid index specifications idx in the interval [imin, imax)
// note that idx can't have any value greater or EQUAL to imax
// this allows imax=INF as a bound to numerical lists
function _valid_idx(idx,imin,imax) =
is_undef(idx)
|| ( is_finite(idx)
&& ( is_undef(imin) || idx>=imin )
&& ( is_undef(imax) || idx< imax ) )
|| ( is_list(idx)
&& ( is_undef(imin) || min(idx)>=imin )
&& ( is_undef(imax) || max(idx)< imax ) )
|| ( is_range(idx)
&& ( is_undef(imin) || (idx[1]>0 && idx[0]>=imin ) || (idx[1]<0 && idx[0]<=imax ) )
&& ( is_undef(imax) || (idx[1]>0 && idx[2]<=imax ) || (idx[1]<0 && idx[2]>=imin ) ) );
// Function: shuffle()
// Usage:
// shuffled = shuffle(list,<seed>);
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// Description:
// Shuffles the input list into random order.
// If given a string, shuffles the characters within the string.
// If you give a numeric seed value then the permutation
// will be repeatable.
// Arguments:
// list = The list to shuffle.
// seed = Optional random number seed for the shuffling.
// Example:
// // Spades Hearts Diamonds Clubs
// suits = ["\u2660", "\u2661", "\u2662", "\u2663"];
// ranks = [2,3,4,5,6,7,8,9,10,"J","Q","K","A"];
// cards = [for (suit=suits, rank=ranks) str(rank,suit)];
// deck = shuffle(cards);
function shuffle(list,seed) =
assert(is_list(list)||is_string(list), "Invalid input." )
is_string(list)? str_join(shuffle([for (x = list) x],seed=seed)) :
len(list)<=1 ? list :
let(
rval = is_num(seed) ? rands(0,1,len(list),seed_value=seed)
: rands(0,1,len(list)),
left = [for (i=[0:len(list)-1]) if (rval[i]< 0.5) list[i]],
right = [for (i=[0:len(list)-1]) if (rval[i]>=0.5) list[i]]
)
concat(shuffle(left), shuffle(right));
2019-05-30 00:42:09 +00:00
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
2020-08-30 11:12:36 +00:00
// Sort a vector of scalar values with the native comparison operator
// all elements should have the same type.
function _sort_scalars(arr) =
len(arr)<=1 ? arr :
let(
pivot = arr[floor(len(arr)/2)],
lesser = [ for (y = arr) if (y < pivot) y ],
equal = [ for (y = arr) if (y == pivot) y ],
greater = [ for (y = arr) if (y > pivot) y ]
)
concat( _sort_scalars(lesser), equal, _sort_scalars(greater) );
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
2020-08-30 11:12:36 +00:00
// lexical sort of a homogeneous list of vectors
// uses native comparison operator
function _sort_vectors(arr, _i=0) =
len(arr)<=1 || _i>=len(arr[0]) ? arr :
let(
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
2020-08-30 11:12:36 +00:00
pivot = arr[floor(len(arr)/2)][_i],
lesser = [ for (entry=arr) if (entry[_i] < pivot ) entry ],
equal = [ for (entry=arr) if (entry[_i] == pivot ) entry ],
greater = [ for (entry=arr) if (entry[_i] > pivot ) entry ]
)
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
2020-08-30 11:12:36 +00:00
concat(
_sort_vectors(lesser, _i ),
_sort_vectors(equal, _i+1 ),
_sort_vectors(greater, _i ) );
// lexical sort of a homogeneous list of vectors by the vector components with indices in idxlist
// all idxlist indices should be in the range of the vector dimensions
// idxlist must be undef or a simple list of numbers
// uses native comparison operator
function _sort_vectors(arr, idxlist, _i=0) =
len(arr)<=1 || ( is_list(idxlist) && _i>=len(idxlist) ) || _i>=len(arr[0]) ? arr :
let(
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
2020-08-30 11:12:36 +00:00
k = is_list(idxlist) ? idxlist[_i] : _i,
pivot = arr[floor(len(arr)/2)][k],
lesser = [ for (entry=arr) if (entry[k] < pivot ) entry ],
equal = [ for (entry=arr) if (entry[k] == pivot ) entry ],
greater = [ for (entry=arr) if (entry[k] > pivot ) entry ]
)
concat(
_sort_vectors(lesser, idxlist, _i ),
_sort_vectors(equal, idxlist, _i+1),
_sort_vectors(greater, idxlist, _i ) );
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
2020-08-30 11:12:36 +00:00
// sorting using compare_vals(); returns indexed list when `indexed==true`
function _sort_general(arr, idx=undef, indexed=false) =
(len(arr)<=1) ? arr :
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
2020-08-30 11:12:36 +00:00
! indexed && is_undef(idx)
? _lexical_sort(arr)
: let( arrind = _indexed_sort(enumerate(arr,idx)) )
indexed
? arrind
: [for(i=arrind) arr[i]];
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
2020-08-30 11:12:36 +00:00
// lexical sort using compare_vals()
function _lexical_sort(arr) =
arr==[] ? [] : len(arr)==1? arr :
let( pivot = arr[floor(len(arr)/2)] )
let(
lesser = [ for (entry=arr) if (compare_vals(entry, pivot) <0 ) entry ],
equal = [ for (entry=arr) if (compare_vals(entry, pivot)==0 ) entry ],
greater = [ for (entry=arr) if (compare_vals(entry, pivot) >0 ) entry ]
)
concat(_lexical_sort(lesser), equal, _lexical_sort(greater));
// given a list of pairs, return the first element of each pair of the list sorted by the second element of the pair
// the sorting is done using compare_vals()
function _indexed_sort(arrind) =
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
2020-08-30 11:12:36 +00:00
arrind==[] ? [] : len(arrind)==1? [arrind[0][0]] :
let( pivot = arrind[floor(len(arrind)/2)][1] )
let(
lesser = [ for (entry=arrind) if (compare_vals(entry[1], pivot) <0 ) entry ],
equal = [ for (entry=arrind) if (compare_vals(entry[1], pivot)==0 ) entry[0] ],
greater = [ for (entry=arrind) if (compare_vals(entry[1], pivot) >0 ) entry ]
)
concat(_indexed_sort(lesser), equal, _indexed_sort(greater));
// Function: sort()
// Usage:
// slist = sort(list, <idx>);
// Description:
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
2020-08-30 11:12:36 +00:00
// Sorts the given list in lexicographic order. If the input is a homogeneous simple list or a homogeneous
// list of vectors (see function is_homogeneous), the sorting method uses the native comparison operator and is faster.
// When sorting non homogeneous list the elements are compared with `compare_vals`, with types ordered according to
// `undef < boolean < number < string < list`. Comparison of lists is recursive.
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
2020-08-30 11:12:36 +00:00
// When comparing vectors, homogeneous or not, the parameter `idx` may be used to select the components to compare.
// Note that homogeneous lists of vectors may contain mixed types provided that for any two list elements
// list[i] and list[j] satisfies type(list[i][k])==type(list[j][k]) for all k.
// Strings are allowed as any list element and are compared with the native operators although no substring
// comparison is possible.
// Arguments:
// list = The list to sort.
// idx = If given, do the comparison based just on the specified index, range or list of indices.
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
2020-08-30 11:12:36 +00:00
// Example:
// // Homogeneous lists
// l1 = [45,2,16,37,8,3,9,23,89,12,34];
// sorted1 = sort(l1); // Returns [2,3,8,9,12,16,23,34,37,45,89]
// l2 = [["oat",0], ["cat",1], ["bat",3], ["bat",2], ["fat",3]];
// sorted2 = sort(l2); // Returns: [["bat",2],["bat",3],["cat",1],["fat",3],["oat",0]]
// // Non-homegenous list
// l3 = [[4,0],[7],[3,9],20,[4],[3,1],[8]];
// sorted3 = sort(l3); // Returns: [20,[3,1],[3,9],[4],[4,0],[7],[8]]
function sort(list, idx=undef) =
assert(is_list(list)||is_string(list), "Invalid input." )
is_string(list)? str_join(sort([for (x = list) x],idx)) :
!is_list(list) || len(list)<=1 ? list :
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
2020-08-30 11:12:36 +00:00
is_homogeneous(list,1)
? let(size = array_dim(list[0]))
size==0 ? _sort_scalars(list)
: len(size)!=1 ? _sort_general(list,idx)
: is_undef(idx) ? _sort_vectors(list)
: assert( _valid_idx(idx) , "Invalid indices.")
_sort_vectors(list,[for(i=idx) i])
: _sort_general(list,idx);
2020-07-28 20:51:45 +00:00
// Function: sortidx()
// Usage:
// idxlist = sort_idx(list, <idx>);
// Description:
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
2020-08-30 11:12:36 +00:00
// Given a list, sort it as function `sort()`, and returns
// a list of indexes into the original list in that sorted order.
// If you iterate the returned list in order, and use the list items
// to index into the original list, you will be iterating the original
// values in sorted order.
// Arguments:
// list = The list to sort.
// idx = If given, do the comparison based just on the specified index, range or list of indices.
// Example:
// lst = ["d","b","e","c"];
// idxs = sortidx(lst); // Returns: [1,3,0,2]
// ordered = select(lst, idxs); // Returns: ["b", "c", "d", "e"]
// Example:
// lst = [
// ["foo", 88, [0,0,1], false],
// ["bar", 90, [0,1,0], true],
// ["baz", 89, [1,0,0], false],
// ["qux", 23, [1,1,1], true]
// ];
// idxs1 = sortidx(lst, idx=1); // Returns: [3,0,2,1]
// idxs2 = sortidx(lst, idx=0); // Returns: [1,2,0,3]
// idxs3 = sortidx(lst, idx=[1,3]); // Returns: [3,0,2,1]
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
2020-08-30 11:12:36 +00:00
function sortidx(list, idx=undef) =
assert(is_list(list)||is_string(list), "Invalid input." )
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
2020-08-30 11:12:36 +00:00
!is_list(list) || len(list)<=1 ? list :
is_homogeneous(list,1)
? let(
size = array_dim(list[0]),
aug = ! (size==0 || len(size)==1) ? 0 // for general sorting
: [for(i=[0:len(list)-1]) concat(i,list[i])], // for scalar or vector sorting
lidx = size==0? [1] : // scalar sorting
len(size)==1
? is_undef(idx) ? [for(i=[0:len(list[0])-1]) i+1] // vector sorting
: [for(i=idx) i+1] // vector sorting
: 0 // just to signal
)
assert( ! ( size==0 && is_def(idx) ),
"The specification of `idx` is incompatible with scalar sorting." )
assert( _valid_idx(idx) , "Invalid indices." )
lidx!=0
? let( lsort = _sort_vectors(aug,lidx) )
[for(li=lsort) li[0] ]
: _sort_general(list,idx,indexed=true)
: _sort_general(list,idx,indexed=true);
// Function: unique()
// Usage:
// ulist = unique(list);
// Description:
// Returns a sorted list with all repeated items removed.
// Arguments:
// list = The list to uniquify.
// Example:
// sorted = unique([5,2,8,3,1,3,8,7,5]); // Returns: [1,2,3,5,7,8]
function unique(list) =
assert(is_list(list)||is_string(list), "Invalid input." )
is_string(list)? str_join(unique([for (x = list) x])) :
len(list)<=1? list :
let( sorted = sort(list))
[ for (i=[0:1:len(sorted)-1])
if (i==0 || (sorted[i] != sorted[i-1]))
sorted[i]
];
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2020-02-12 01:23:31 +00:00
// Function: unique_count()
// Usage:
// counts = unique_count(list);
2020-02-12 01:23:31 +00:00
// Description:
// Returns `[sorted,counts]` where `sorted` is a sorted list of the unique items in `list` and `counts` is a list such
// that `count[i]` gives the number of times that `sorted[i]` appears in `list`.
2020-02-12 01:23:31 +00:00
// Arguments:
// list = The list to analyze.
// Example:
// sorted = unique([5,2,8,3,1,3,8,3,5]); // Returns: [ [1,2,3,5,8], [1,1,3,2,2] ]
function unique_count(list) =
assert(is_list(list) || is_string(list), "Invalid input." )
list == [] ? [[],[]] :
let( list=sort(list) )
let( ind = [0, for(i=[1:1:len(list)-1]) if (list[i]!=list[i-1]) i] )
[ select(list,ind), deltas( concat(ind,[len(list)]) ) ];
2020-07-28 20:51:45 +00:00
2020-01-10 00:10:18 +00:00
// Section: List Iteration Helpers
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// Function: idx()
2020-01-09 04:43:19 +00:00
// Usage:
// rng = idx(list, <s=>, <e=>, <step=>);
// for(i=idx(list, <s=>, <e=>, <step=>)) ...
2020-01-09 04:43:19 +00:00
// Description:
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// Returns the range of indexes for the given list.
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// Arguments:
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// list = The list to returns the index range of.
// s = The starting index. Default: 0
// e = The delta from the end of the list. Default: -1 (end of list)
2020-01-10 00:10:18 +00:00
// step = The step size to stride through the list. Default: 1
// Example(2D):
// colors = ["red", "green", "blue"];
// for (i=idx(colors)) right(20*i) color(colors[i]) circle(d=10);
function idx(list, s=0, e=-1, step=1) =
assert(is_list(list)||is_string(list), "Invalid input." )
let( ll = len(list) )
ll == 0 ? [0:1:-1] :
let(
_s = posmod(s,ll),
_e = posmod(e,ll)
) [_s : step : _e];
2020-01-09 04:43:19 +00:00
2020-01-10 00:10:18 +00:00
// Function: enumerate()
// Usage:
// arr = enumerate(l, <idx>);
// for (x = enumerate(l, <idx>)) ... // x[0] is the index number, x[1] is the item.
2020-01-09 04:43:19 +00:00
// Description:
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// Returns a list, with each item of the given list `l` numbered in a sublist.
// Something like: `[[0,l[0]], [1,l[1]], [2,l[2]], ...]`
2020-01-09 04:43:19 +00:00
// Arguments:
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// l = List to enumerate.
// idx = If given, enumerates just the given subindex items of `l`.
2020-01-09 04:43:19 +00:00
// Example:
2020-01-10 00:10:18 +00:00
// enumerate(["a","b","c"]); // Returns: [[0,"a"], [1,"b"], [2,"c"]]
// enumerate([[88,"a"],[76,"b"],[21,"c"]], idx=1); // Returns: [[0,"a"], [1,"b"], [2,"c"]]
// enumerate([["cat","a",12],["dog","b",10],["log","c",14]], idx=[1:2]); // Returns: [[0,"a",12], [1,"b",10], [2,"c",14]]
// Example(2D):
// colors = ["red", "green", "blue"];
// for (p=enumerate(colors)) right(20*p[0]) color(p[1]) circle(d=10);
function enumerate(l,idx=undef) =
assert(is_list(l)||is_string(list), "Invalid input." )
assert( _valid_idx(idx,0,len(l)), "Invalid index/indices." )
(idx==undef)
? [for (i=[0:1:len(l)-1]) [i,l[i]]]
: [for (i=[0:1:len(l)-1]) [ i, for (j=idx) l[i][j]] ];
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// Function: force_list()
// Usage:
// list = force_list(value, <n>, <fill>);
// Description:
// Coerces non-list values into a list. Makes it easy to treat a scalar input
// consistently as a singleton list, as well as list inputs.
// - If `value` is a list, then that list is returned verbatim.
// - If `value` is not a list, and `fill` is not given, then a list of `n` copies of `value` will be returned.
// - If `value` is not a list, and `fill` is given, then a list `n` items long will be returned where `value` will be the first item, and the rest will contain the value of `fill`.
// Arguments:
// value = The value or list to coerce into a list.
// n = The number of items in the coerced list. Default: 1
// fill = The value to pad the coerced list with, after the firt value. Default: undef (pad with copies of `value`)
// Examples:
// x = force_list([3,4,5]); // Returns: [3,4,5]
// y = force_list(5); // Returns: [5]
// z = force_list(7, n=3); // Returns: [7,7,7]
// w = force_list(4, n=3, fill=1); // Returns: [4,1,1]
function force_list(value, n=1, fill) =
is_list(value) ? value :
is_undef(fill)? [for (i=[1:1:n]) value] : [value, for (i=[2:1:n]) fill];
// Function: pair()
// Usage:
// p = pair(list, <wrap>);
// for (p = pair(list, <wrap>)) ... // On each iteration, p contains a list of two adjacent items.
// Description:
// Takes a list, and returns a list of adjacent pairs from it, optionally wrapping back to the front.
// Arguments:
// list = The list to iterate.
// wrap = If true, wrap back to the start from the end. ie: return the last and first items as the last pair. Default: false
// Example(2D): Does NOT wrap from end to start,
// for (p = pair(circle(d=40, $fn=12)))
// stroke(p, endcap2="arrow2");
// Example(2D): Wraps around from end to start.
// for (p = pair(circle(d=40, $fn=12), wrap=true))
// stroke(p, endcap2="arrow2");
// Example:
// l = ["A","B","C","D"];
// echo([for (p=pair(l)) str(p.y,p.x)]); // Outputs: ["BA", "CB", "DC"]
function pair(list, wrap=false) =
assert(is_list(list)||is_string(list), "Invalid input." )
assert(is_bool(wrap))
let(
ll = len(list)
) wrap
? [for (i=[0:1:ll-1]) [list[i], list[(i+1) % ll]]]
: [for (i=[0:1:ll-2]) [list[i], list[i+1]]];
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// Function: triplet()
// Usage:
// list = triplet(list, <wrap>);
// for (t = triplet(list, <wrap>)) ...
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// Description:
// Takes a list, and returns a list of adjacent triplets from it, optionally wrapping back to the front.
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// Example:
// l = ["A","B","C","D","E"];
// echo([for (p=triplet(l)) str(p.z,p.y,p.x)]); // Outputs: ["CBA", "DCB", "EDC"]
// Example(2D):
// path = [for (i=[0:24]) polar_to_xy(i*2, i*360/12)];
// for (t = triplet(path)) {
// a = t[0]; b = t[1]; c = t[2];
// v = unit(unit(a-b) + unit(c-b));
// translate(b) rot(from=FWD,to=v) anchor_arrow2d();
// }
// stroke(path);
function triplet(list, wrap=false) =
assert(is_list(list)||is_string(list), "Invalid input." )
assert(is_bool(wrap))
let(
ll = len(list)
) wrap
? [for (i=[0:1:ll-1]) [ list[i], list[(i+1)%ll], list[(i+2)%ll] ]]
: [for (i=[0:1:ll-3]) [ list[i], list[i+1], list[i+2] ]];
2019-06-19 08:31:44 +00:00
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// Function: permute()
// Usage:
// list = permute(l, <n>);
// for (p = permute(l, <n>)) ...
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// Description:
// Returns an ordered list of every unique permutation of `n` items out of the given list `l`.
// For the list `[1,2,3,4]`, with `n=2`, this will return `[[1,2], [1,3], [1,4], [2,3], [2,4], [3,4]]`.
// For the list `[1,2,3,4]`, with `n=3`, this will return `[[1,2,3], [1,2,4], [1,3,4], [2,3,4]]`.
// Arguments:
// l = The list to provide permutations for.
// n = The number of items in each permutation. Default: 2
// Example:
// pairs = permute([3,4,5,6]); // Returns: [[3,4],[3,5],[3,6],[4,5],[4,6],[5,6]]
// triplets = permute([3,4,5,6],n=3); // Returns: [[3,4,5],[3,4,6],[3,5,6],[4,5,6]]
// Example(2D):
// for (p=permute(regular_ngon(n=7,d=100))) stroke(p);
function permute(l,n=2,_s=0) =
assert(is_list(l), "Invalid list." )
assert( is_finite(n) && n>=1 && n<=len(l), "Invalid number `n`." )
n==1
? [for (i=[_s:1:len(l)-1]) [l[i]]]
: [for (i=[_s:1:len(l)-n], p=permute(l,n=n-1,_s=i+1)) concat([l[i]], p)];
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// Section: Set Manipulation
// Function: set_union()
// Usage:
// s = set_union(a, b, <get_indices>);
// Description:
// Given two sets (lists with unique items), returns the set of unique items that are in either `a` or `b`.
// If `get_indices` is true, a list of indices into the new union set are returned for each item in `b`,
// in addition to returning the new union set. In this case, a 2-item list is returned, `[INDICES, NEWSET]`,
// where INDICES is the list of indices for items in `b`, and NEWSET is the new union set.
// Arguments:
// a = One of the two sets to merge.
// b = The other of the two sets to merge.
// get_indices = If true, indices into the new union set are also returned for each item in `b`. Returns `[INDICES, NEWSET]`. Default: false
// Example:
// set_a = [2,3,5,7,11];
// set_b = [1,2,3,5,8];
// set_u = set_union(set_a, set_b);
// // set_u now equals [2,3,5,7,11,1,8]
// set_v = set_union(set_a, set_b, get_indices=true);
// // set_v now equals [[5,0,1,2,6], [2,3,5,7,11,1,8]]
function set_union(a, b, get_indices=false) =
assert( is_list(a) && is_list(b), "Invalid sets." )
let(
found1 = search(b, a),
found2 = search(b, b),
c = [ for (i=idx(b))
if (found1[i] == [] && found2[i] == i)
b[i]
],
nset = concat(a, c)
)
! get_indices ? nset :
let(
la = len(a),
found3 = search(b, c),
idxs = [ for (i=idx(b))
(found1[i] != [])? found1[i] : la + found3[i]
]
) [idxs, nset];
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// Function: set_difference()
// Usage:
// s = set_difference(a, b);
// Description:
// Given two sets (lists with unique items), returns the set of items that are in `a`, but not `b`.
// Arguments:
// a = The starting set.
// b = The set of items to remove from set `a`.
// Example:
// set_a = [2,3,5,7,11];
// set_b = [1,2,3,5,8];
// set_d = set_difference(set_a, set_b);
// // set_d now equals [7,11]
function set_difference(a, b) =
assert( is_list(a) && is_list(b), "Invalid sets." )
let( found = search(a, b, num_returns_per_match=1) )
[ for (i=idx(a)) if(found[i]==[]) a[i] ];
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// Function: set_intersection()
// Usage:
// s = set_intersection(a, b);
// Description:
// Given two sets (lists with unique items), returns the set of items that are in both sets.
// Arguments:
// a = The starting set.
// b = The set of items to intersect with set `a`.
// Example:
// set_a = [2,3,5,7,11];
// set_b = [1,2,3,5,8];
// set_i = set_intersection(set_a, set_b);
// // set_i now equals [2,3,5]
function set_intersection(a, b) =
assert( is_list(a) && is_list(b), "Invalid sets." )
let( found = search(a, b, num_returns_per_match=1) )
[ for (i=idx(a)) if(found[i]!=[]) a[i] ];
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// Section: Array Manipulation
// Function: add_scalar()
// Usage:
// v = add_scalar(v,s);
// Description:
// Given a list and a scalar, returns the list with the scalar added to each item in it.
// If given a list of arrays, recursively adds the scalar to the each array.
// Arguments:
// v = The initial array.
// s = A scalar value to add to every item in the array.
// Example:
// a = add_scalar([1,2,3],3); // Returns: [4,5,6]
// b = add_scalar([[1,2,3],[3,4,5]],3); // Returns: [[4,5,6],[6,7,8]]
function add_scalar(v,s) =
is_finite(s) ? [for (x=v) is_list(x)? add_scalar(x,s) : is_finite(x) ? x+s: x] : v;
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// Function: subindex()
// Usage:
// list = subindex(M, idx);
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// Description:
// Extracts the entries listed in idx from each entry in M. For a matrix this means
// selecting a specified set of columns. If idx is a number the return is a vector,
// otherwise it is a list of lists (the submatrix).
// This function will return `undef` at all entry positions indexed by idx not found in the input list M.
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// Arguments:
// M = The given list of lists.
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// idx = The index, list of indices, or range of indices to fetch.
// Example:
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// M = [[1,2,3,4],[5,6,7,8],[9,10,11,12],[13,14,15,16]];
// a = subindex(M,2); // Returns [3, 7, 11, 15]
// b = subindex(M,[2]); // Returns [[3], [7], [11], [15]]
// c = subindex(M,[2,1]); // Returns [[3, 2], [7, 6], [11, 10], [15, 14]]
// d = subindex(M,[1:3]); // Returns [[2, 3, 4], [6, 7, 8], [10, 11, 12], [14, 15, 16]]
// N = [ [1,2], [3], [4,5], [6,7,8] ];
// e = subindex(N,[0,1]); // Returns [ [1,2], [3,undef], [4,5], [6,7] ]
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function subindex(M, idx) =
assert( is_list(M), "The input is not a list." )
assert( !is_undef(idx) && _valid_idx(idx,0,1/0), "Invalid index input." )
is_finite(idx)
? [for(row=M) row[idx]]
: [for(row=M) [for(i=idx) row[i]]];
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// Function: submatrix()
// Usage:
// mat = submatrix(M, idx1, idx2);
// Description:
// The input must be a list of lists (a matrix or 2d array). Returns a submatrix by selecting the rows listed in idx1 and columns listed in idx2.
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// Arguments:
// M = Given list of lists
// idx1 = rows index list or range
// idx2 = column index list or range
// Example:
// M = [[ 1, 2, 3, 4, 5],
// [ 6, 7, 8, 9,10],
// [11,12,13,14,15],
// [16,17,18,19,20],
// [21,22,23,24,25]];
// submatrix(M,[1:2],[3:4]); // Returns [[9, 10], [14, 15]]
// submatrix(M,[1], [3,4])); // Returns [[9,10]]
// submatrix(M,1, [3,4])); // Returns [[9,10]]
// submatrix(M,1,3)); // Returns [[9]]
// submatrix(M, [3,4],1); // Returns [[17],[22]]);
// submatrix(M, [1,3],[2,4]); // Returns [[8,10],[18,20]]);
// A = [[true, 17, "test"],
// [[4,2], 91, false],
// [6, [3,4], undef]];
// submatrix(A,[0,2],[1,2]); // Returns [[17, "test"], [[3, 4], undef]]
function submatrix(M,idx1,idx2) =
[for(i=idx1) [for(j=idx2) M[i][j] ] ];
// Function: hstack()
// Usage:
// A = hstack(M1, M2)
// A = hstack(M1, M2, M3)
// A = hstack([M1, M2, M3, ...])
// Description:
// Constructs a matrix by horizontally "stacking" together compatible matrices or vectors. Vectors are treated as columsn in the stack.
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// This command is the inverse of subindex. Note: strings given in vectors are broken apart into lists of characters. Strings given
// in matrices are preserved as strings. If you need to combine vectors of strings use array_group as shown below to convert the
// vector into a column matrix. Also note that vertical stacking can be done directly with concat.
// Arguments:
// M1 = If given with other arguments, the first matrix (or vector) to stack. If given alone, a list of matrices/vectors to stack.
// M2 = Second matrix/vector to stack
// M3 = Third matrix/vector to stack.
// Example:
// M = ident(3);
// v1 = [2,3,4];
// v2 = [5,6,7];
// v3 = [8,9,10];
// a = hstack(v1,v2); // Returns [[2, 5], [3, 6], [4, 7]]
// b = hstack(v1,v2,v3); // Returns [[2, 5, 8],
// // [3, 6, 9],
// // [4, 7, 10]]
// c = hstack([M,v1,M]); // Returns [[1, 0, 0, 2, 1, 0, 0],
// // [0, 1, 0, 3, 0, 1, 0],
// // [0, 0, 1, 4, 0, 0, 1]]
// d = hstack(subindex(M,0), subindex(M,[1 2])); // Returns M
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// strvec = ["one","two"];
// strmat = [["three","four"], ["five","six"]];
// e = hstack(strvec,strvec); // Returns [["o", "n", "e", "o", "n", "e"],
// // ["t", "w", "o", "t", "w", "o"]]
// f = hstack(array_group(strvec,1), array_group(strvec,1));
// // Returns [["one", "one"],
// // ["two", "two"]]
// g = hstack(strmat,strmat); // Returns: [["three", "four", "three", "four"],
// // [ "five", "six", "five", "six"]]
function hstack(M1, M2, M3) =
(M3!=undef)? hstack([M1,M2,M3]) :
(M2!=undef)? hstack([M1,M2]) :
assert(all([for(v=M1) is_list(v)]), "One of the inputs to hstack is not a list")
let(
minlen = list_shortest(M1),
maxlen = list_longest(M1)
)
assert(minlen==maxlen, "Input vectors to hstack must have the same length")
[for(row=[0:1:minlen-1])
[for(matrix=M1)
each matrix[row]
]
];
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// Function: block_matrix()
// Usage:
// bmat = block_matrix([[M11, M12,...],[M21, M22,...], ... ]);
// Description:
// Create a block matrix by supplying a matrix of matrices, which will
// be combined into one unified matrix. Every matrix in one row
// must have the same height, and the combined width of the matrices
// in each row must be equal. Strings will stay strings.
// Examples:
// A = [[1,2],
// [3,4]];
// B = ident(2);
// C = block_matrix([[A,B],[B,A],[A,B]]);
// // Returns:
// // [[1, 2, 1, 0],
// // [3, 4, 0, 1],
// // [1, 0, 1, 2],
// // [0, 1, 3, 4],
// // [1, 2, 1, 0],
// // [3, 4, 0, 1]]);
// D = block_matrix([[A,B], ident(4)]);
// // Returns:
// // [[1, 2, 1, 0],
// // [3, 4, 0, 1],
// // [1, 0, 0, 0],
// // [0, 1, 0, 0],
// // [0, 0, 1, 0],
// // [0, 0, 0, 1]]);
// E = [["one", "two"], [3,4]];
// F = block_matrix([[A,A]]);
// // Returns:
// // [["one", "two", "one", "two"],
// // [ 3, 4, 3, 4]]
function block_matrix(M) =
let(
bigM = [for(bigrow = M) each hstack(bigrow)],
len0 = len(bigM[0]),
badrows = [for(row=bigM) if (len(row)!=len0) 1]
)
assert(badrows==[], "Inconsistent or invalid input")
bigM;
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// Function: diagonal_matrix()
// Usage:
// mat = diagonal_matrix(diag, <offdiag>);
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// Description:
// Creates a square matrix with the items in the list `diag` on
// its diagonal. The off diagonal entries are set to offdiag,
// which is zero by default.
// Arguments:
// diag = A list of items to put in the diagnal cells of the matrix.
// offdiag = Value to put in non-diagonal matrix cells.
function diagonal_matrix(diag, offdiag=0) =
assert(is_list(diag) && len(diag)>0)
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[for(i=[0:1:len(diag)-1]) [for(j=[0:len(diag)-1]) i==j?diag[i] : offdiag]];
// Function: submatrix_set()
// Usage:
// mat = submatrix_set(M,A,<m>,<n>);
// Description:
// Sets a submatrix of M equal to the matrix A. By default the top left corner of M is set to A, but
// you can specify offset coordinates m and n. If A (as adjusted by m and n) extends beyond the bounds
// of M then the extra entries are ignored. You can pass in A=[[]], a null matrix, and M will be
// returned unchanged. Note that the input M need not be rectangular in shape.
// Arguments:
// M = Original matrix.
// A = Sub-matrix of parts to set.
// m = Row number of upper-left corner to place A at.
// n = Column number of upper-left corner to place A at.
function submatrix_set(M,A,m=0,n=0) =
assert(is_list(M))
assert(is_list(A))
assert(is_int(m))
assert(is_int(n))
let( badrows = [for(i=idx(A)) if (!is_list(A[i])) i])
assert(badrows==[], str("Input submatrix malformed rows: ",badrows))
[for(i=[0:1:len(M)-1])
assert(is_list(M[i]), str("Row ",i," of input matrix is not a list"))
[for(j=[0:1:len(M[i])-1])
i>=m && i <len(A)+m && j>=n && j<len(A[0])+n ? A[i-m][j-n] : M[i][j]]];
// Function: array_group()
// Usage:
// groups = array_group(v, <cnt>, <dflt>);
// Description:
// Takes a flat array of values, and groups items in sets of `cnt` length.
// The opposite of this is `flatten()`.
// Arguments:
// v = The list of items to group.
// cnt = The number of items to put in each grouping. Default:2
// dflt = The default value to fill in with is the list is not a multiple of `cnt` items long. Default: 0
// Example:
// v = [1,2,3,4,5,6];
// a = array_group(v,2) returns [[1,2], [3,4], [5,6]]
// b = array_group(v,3) returns [[1,2,3], [4,5,6]]
// c = array_group(v,4,0) returns [[1,2,3,4], [5,6,0,0]]
function array_group(v, cnt=2, dflt=0) =
[for (i = [0:cnt:len(v)-1]) [for (j = [0:1:cnt-1]) default(v[i+j], dflt)]];
// Function: flatten()
// Usage:
// list = flatten(l);
// Description:
// Takes a list of lists and flattens it by one level.
// Arguments:
// l = List to flatten.
// Example:
// l = flatten([[1,2,3], [4,5,[6,7,8]]]); // returns [1,2,3,4,5,[6,7,8]]
function flatten(l) =
!is_list(l)? l :
[for (a=l) if (is_list(a)) (each a) else a];
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// Function: full_flatten()
// Usage:
// list = full_flatten(l);
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// Description:
// Collects in a list all elements recursively found in any level of the given list.
// The output list is ordered in depth first order.
// Arguments:
// l = List to flatten.
// Example:
// l = full_flatten([[1,2,3], [4,5,[6,7,8]]]); // returns [1,2,3,4,5,6,7,8]
function full_flatten(l) =
!is_list(l)? l :
[for (a=l) if (is_list(a)) (each full_flatten(a)) else a];
2020-07-28 18:02:35 +00:00
// Internal. Not exposed.
function _array_dim_recurse(v) =
!is_list(v[0])
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
2020-08-30 11:12:36 +00:00
? len( [for(entry=v) if(!is_list(entry)) 0] ) == 0 ? [] : [undef]
: let(
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
2020-08-30 11:12:36 +00:00
firstlen = is_list(v[0]) ? len(v[0]): undef,
first = len( [for(entry = v) if(! is_list(entry) || (len(entry) != firstlen)) 0 ] ) == 0 ? firstlen : undef,
leveldown = flatten(v)
)
is_list(leveldown[0])
? concat([first],_array_dim_recurse(leveldown))
: [first];
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
2020-08-30 11:12:36 +00:00
function _array_dim_recurse(v) =
let( alen = [for(vi=v) is_list(vi) ? len(vi): -1] )
v==[] || max(alen)==-1 ? [] :
let( add = max(alen)!=min(alen) ? undef : alen[0] )
concat( add, _array_dim_recurse(flatten(v)));
// Function: array_dim()
// Usage:
// dims = array_dim(v, <depth>);
// Description:
// Returns the size of a multi-dimensional array. Returns a list of dimension lengths. The length
// of `v` is the dimension `0`. The length of the items in `v` is dimension `1`. The length of the
// items in the items in `v` is dimension `2`, etc. For each dimension, if the length of items at
// that depth is inconsistent, `undef` will be returned. If no items of that dimension depth exist,
// `0` is returned. Otherwise, the consistent length of items in that dimensional depth is
// returned.
// Arguments:
// v = Array to get dimensions of.
// depth = Dimension to get size of. If not given, returns a list of dimension lengths.
// Examples:
// a = array_dim([[[1,2,3],[4,5,6]],[[7,8,9],[10,11,12]]]); // Returns [2,2,3]
// b = array_dim([[[1,2,3],[4,5,6]],[[7,8,9],[10,11,12]]], 0); // Returns 2
// c = array_dim([[[1,2,3],[4,5,6]],[[7,8,9],[10,11,12]]], 2); // Returns 3
// d = array_dim([[[1,2,3],[4,5,6]],[[7,8,9]]]); // Returns [2,undef,3]
function array_dim(v, depth=undef) =
assert( is_undef(depth) || ( is_finite(depth) && depth>=0 ), "Invalid depth.")
! is_list(v) ? 0 :
(depth == undef)
? concat([len(v)], _array_dim_recurse(v))
: (depth == 0)
? len(v)
: let( dimlist = _array_dim_recurse(v))
(depth > len(dimlist))? 0 : dimlist[depth-1] ;
Sort debugging and optimizing There were bugs in the previous sorting functions. They didn't check the homogeneity of the input list before calling _sort_scalars and _sort_vectors. The bug might result in wrong order and missing list elements in the output. Besides correcting the bug a recode of all sorting functions result in better performance and a enlargement of their scope. With the new functions, list of vectors of any dimension may be sorted, even with idx given, with the native comparison operators. The scope of indexed sorting is also extended. The file test_arrays has been extended to check the new funcionality. New functions: is_homogeneous - checks if a list has elements of the same type (although not distinguing booleans from numbers) up to a given depth _sort_vectors - internal function to sort homgeneous lists of vectors using native comparison operators; extends the scope of the previous _sort_vectors# functions with better performance _lexical_sort - internal function to sort non-homogeneous lists; uses compare_vals _indexed_sort - internal function to perform indexed sorting of non-homogeneous lists; uses compar_vals Changed/reviewed functions: _valid_idx - doesn't requires the input of imin and imax args sort - explores the internal functions to get better performance and an enlarged scope sortidx - explores the internal functions to get better performance and an enlarged scope _sort_general - just for sortings of non-homogeneous lists using compare_vals _array_dim_recurse - changed for bit better performance Functions eliminated: _sort_vectors1 _sort_vectors2 _sort_vectors3 _sort_vectors4
2020-08-30 11:12:36 +00:00
// Function: transpose()
// Usage:
// arr = transpose(arr, <reverse>);
// Description:
// Returns the transpose of the given input array. The input should be a list of lists that are
// all the same length. If you give a vector then transpose returns it unchanged.
// When reverse=true, the transpose is done across to the secondary diagonal. (See example below.)
// By default, reverse=false.
// Example:
// arr = [
// ["a", "b", "c"],
// ["d", "e", "f"],
// ["g", "h", "i"]
// ];
// t = transpose(arr);
// // Returns:
// // [
// // ["a", "d", "g"],
// // ["b", "e", "h"],
// // ["c", "f", "i"],
// // ]
// Example:
2019-05-12 19:54:09 +00:00
// arr = [
// ["a", "b", "c"],
// ["d", "e", "f"]
// ];
// t = transpose(arr);
// // Returns:
// // [
// // ["a", "d"],
// // ["b", "e"],
// // ["c", "f"],
// // ]
// Example:
// arr = [
// ["a", "b", "c"],
// ["d", "e", "f"],
// ["g", "h", "i"]
// ];
// t = transpose(arr, reverse=true);
// // Returns:
// // [
// // ["i", "f", "c"],
// // ["h", "e", "b"],
// // ["g", "d", "a"]
// // ]
// Example: Transpose on a list of numbers returns the list unchanged
2019-05-12 19:54:09 +00:00
// transpose([3,4,5]); // Returns: [3,4,5]
function transpose(arr, reverse=false) =
assert( is_list(arr) && len(arr)>0, "Input to transpose must be a nonempty list.")
is_list(arr[0])
? let( len0 = len(arr[0]) )
assert([for(a=arr) if(!is_list(a) || len(a)!=len0) 1 ]==[], "Input to transpose has inconsistent row lengths." )
reverse
? [for (i=[0:1:len0-1])
[ for (j=[0:1:len(arr)-1]) arr[len(arr)-1-j][len0-1-i] ] ]
: [for (i=[0:1:len0-1])
[ for (j=[0:1:len(arr)-1]) arr[j][i] ] ]
: assert( is_vector(arr), "Input to transpose must be a vector or list of lists.")
arr;
// vim: expandtab tabstop=4 shiftwidth=4 softtabstop=4 nowrap