Definitions on Arrays

This file contains various definitions on Array. It does not contain proofs about these definitions, those are contained in other files in Batteries.Data.Array.

def Array.reduceOption {α : Type u_1} (l : Array (Option α)) : Array α

Drop nones from a Array, and replace each remaining some a with a.

Equations

• l.reduceOption = Array.filterMap id l

def Array.equalSet {α : Type u_1} [BEq α] (xs : Array α) (ys : Array α) : Bool

Check whether xs and ys are equal as sets, i.e. they contain the same elements when disregarding order and duplicates. O(n*m)! If your element type has an Ord instance, it is asymptotically more efficient to sort the two arrays, remove duplicates and then compare them elementwise.

Equations

• xs.equalSet ys = ((xs.all fun (x : α) => ys.contains x) && ys.all fun (x : α) => xs.contains x)

@[inline]

def Array.minWith {α : Type u_1} [ord : Ord α] (xs : Array α) (d : α) (start : optParam Nat 0) (stop : optParam Nat xs.size) : α

Returns the first minimal element among d and elements of the array. If start and stop are given, only the subarray xs[start:stop] is considered (in addition to d).

Equations

• xs.minWith d start stop = Array.foldl (fun (min x : α) => if (compare x min).isLT = true then x else min) d xs start stop

@[inline]

def Array.minD {α : Type u_1} [ord : Ord α] (xs : Array α) (d : α) (start : optParam Nat 0) (stop : optParam Nat xs.size) : α

Find the first minimal element of an array. If the array is empty, d is returned. If start and stop are given, only the subarray xs[start:stop] is considered.

Equations

• xs.minD d start stop = if h : start < xs.size ∧ start < stop then xs.minWith (xs.get ⟨start, ⋯⟩) (start + 1) stop else d

@[inline]

def Array.min? {α : Type u_1} [ord : Ord α] (xs : Array α) (start : optParam Nat 0) (stop : optParam Nat xs.size) : Option α

Find the first minimal element of an array. If the array is empty, none is returned. If start and stop are given, only the subarray xs[start:stop] is considered.

Equations

• xs.min? start stop = if h : start < xs.size ∧ start < stop then some (xs.minD (xs.get ⟨start, ⋯⟩) start stop) else none

@[inline]

def Array.minI {α : Type u_1} [ord : Ord α] [Inhabited α] (xs : Array α) (start : optParam Nat 0) (stop : optParam Nat xs.size) : α

Find the first minimal element of an array. If the array is empty, default is returned. If start and stop are given, only the subarray xs[start:stop] is considered.

Equations

• xs.minI start stop = xs.minD default start stop

@[inline]

def Array.maxWith {α : Type u_1} [ord : Ord α] (xs : Array α) (d : α) (start : optParam Nat 0) (stop : optParam Nat xs.size) : α

Returns the first maximal element among d and elements of the array. If start and stop are given, only the subarray xs[start:stop] is considered (in addition to d).

Equations

• xs.maxWith d start stop = xs.minWith d start stop

@[inline]

def Array.maxD {α : Type u_1} [ord : Ord α] (xs : Array α) (d : α) (start : optParam Nat 0) (stop : optParam Nat xs.size) : α

Find the first maximal element of an array. If the array is empty, d is returned. If start and stop are given, only the subarray xs[start:stop] is considered.

Equations

• xs.maxD d start stop = xs.minD d start stop

@[inline]

def Array.max? {α : Type u_1} [ord : Ord α] (xs : Array α) (start : optParam Nat 0) (stop : optParam Nat xs.size) : Option α

Find the first maximal element of an array. If the array is empty, none is returned. If start and stop are given, only the subarray xs[start:stop] is considered.

Equations

• xs.max? start stop = xs.min? start stop

@[inline]

def Array.maxI {α : Type u_1} [ord : Ord α] [Inhabited α] (xs : Array α) (start : optParam Nat 0) (stop : optParam Nat xs.size) : α

Find the first maximal element of an array. If the array is empty, default is returned. If start and stop are given, only the subarray xs[start:stop] is considered.

Equations

• xs.maxI start stop = xs.minI start stop

@[inline]

def Array.join {α : Type u_1} (l : Array (Array α)) : Array α

O(|join L|). join L concatenates all the arrays in L into one array.

• join #[#[a], #[], #[b, c], #[d, e, f]] = #[a, b, c, d, e, f]

Equations

• l.join = Array.foldl (fun (x1 x2 : Array α) => x1 ++ x2) #[] l

Safe Nat Indexed Array functions

The functions in this section offer variants of Array functions which use Nat indices instead of Fin indices. All these functions have as parameter a proof that the index is valid for the array. But this parameter has a default argument by get_elem_tactic which should prove the index bound.

@[reducible, inline]

abbrev Array.setN {α : Type u_1} (a : Array α) (i : Nat) (x : α) (h : autoParam (i < a.size) _auto✝) : Array α

setN a i h x sets an element in a vector using a Nat index which is provably valid. A proof by get_elem_tactic is provided as a default argument for h. This will perform the update destructively provided that a has a reference count of 1 when called.

Equations

• a.setN i x h = a.set ⟨i, h⟩ x

@[reducible, inline]

abbrev Array.swapN {α : Type u_1} (a : Array α) (i : Nat) (j : Nat) (hi : autoParam (i < a.size) _auto✝) (hj : autoParam (j < a.size) _auto✝) : Array α

swapN a i j hi hj swaps two Nat indexed entries in an Array α. Uses get_elem_tactic to supply a proof that the indices are in range. hi and hj are both given a default argument by get_elem_tactic. This will perform the update destructively provided that a has a reference count of 1 when called.

Equations

• a.swapN i j hi hj = a.swap ⟨i, hi⟩ ⟨j, hj⟩

@[reducible, inline]

abbrev Array.swapAtN {α : Type u_1} (a : Array α) (i : Nat) (x : α) (h : autoParam (i < a.size) _auto✝) : α × Array α

swapAtN a i h x swaps the entry with index i : Nat in the vector for a new entry x. The old entry is returned alongwith the modified vector. Automatically generates proof of i < a.size with get_elem_tactic where feasible.

Equations

• a.swapAtN i x h = a.swapAt ⟨i, h⟩ x

@[reducible, inline]

abbrev Array.eraseIdxN {α : Type u_1} (a : Array α) (i : Nat) (h : autoParam (i < a.size) _auto✝) : Array α

eraseIdxN a i h Removes the element at position i from a vector of length n. h : i < a.size has a default argument by get_elem_tactic which tries to supply a proof that the index is valid. This function takes worst case O(n) time because it has to backshift all elements at positions greater than i.

Equations

• a.eraseIdxN i h = a.feraseIdx ⟨i, h⟩

def Array.eraseIdx! {α : Type u_1} (a : Array α) (i : Nat) : Array α

Remove the element at a given index from an array, panics if index is out of bounds.

Equations

• One or more equations did not get rendered due to their size.

@[inline]

def Subarray.isEmpty {α : Type u_1} (as : Subarray α) : Bool

Check whether a subarray is empty.

Equations

• as.isEmpty = (as.start == as.stop)

@[inline]

def Subarray.contains {α : Type u_1} [BEq α] (as : Subarray α) (a : α) : Bool

Check whether a subarray contains an element.

Equations

• as.contains a = Subarray.any (fun (x : α) => x == a) as

def Subarray.popHead? {α : Type u_1} (as : Subarray α) : Option (α × Subarray α)

Remove the first element of a subarray. Returns the element and the remaining subarray, or none if the subarray is empty.

Equations

• One or more equations did not get rendered due to their size.