MutableT1, LocalT, InT, OutT, RetT, StorageTItem Property (UInt32, UInt32, UInt32, UInt32, UInt32)

public RetT this[
	uint d0,
	uint d1,
	uint d2,
	uint d3,
	uint d4
] { get; set; }

Public Default Property Item ( 
	d0 As UInteger,
	d1 As UInteger,
	d2 As UInteger,
	d3 As UInteger,
	d4 As UInteger
) As RetT
	Get
	Set

Dim instance As Mutable
Dim d0 As UInteger
Dim d1 As UInteger
Dim d2 As UInteger
Dim d3 As UInteger
Dim d4 As UInteger
Dim value As RetT

value = instance(d0, d1, d2, d3, d4)

instance(d0, d1, d2, d3, d4) = value

Parameters

d0

Type: SystemUInt32
Index into the first dimension.

d1

Type: SystemUInt32
Index into the second dimension.

d2

Type: SystemUInt32
Index into the third dimension.

d3

Type: SystemUInt32
Index into the fourth dimension.

d4

Type: SystemUInt32
Index into the fifths dimension or sequential index into remaining dimensions of the array.

Property Value

Return Value

This functions retrieves/ modifies an individual element or a subarray corresponding to d0 ... d4.

If this array has more dimensions than indices specified the size of the subarray returned / of the subarray addressed depends on the setting of ArrayStyle. For ILNumericsV4d4 is considered a sequential index into its own and into subsequent, merged dimensions. The array returned will be a scalar. This mode allows to expand / to remove parts of this array when using the set accessor.

For numpy all indices must fit into their dimensions. Any unspecified trailing dimensions are substituted with full and the array returned contains multiple elements from those dimensions. numpy does not allow to change the size of existing arrays.

This indexer is readonly on immutable types. It is optimized for efficient single element access by providing a distinct index parameter for each dimension of this array. Providing a number of indices matching the number of dimensions in this array is recommended for speed and for compatibility of the index access with both ArrayStyles.

In order to access elements based on their element type T1 directly (i.e.: without wrapping it into a new array) and as a faster alternative for scalar or mostly-scalar algorithms use one of the extension methods or similar overloads for concrete arrays.

[ILNumerics Core Module]

Reference

Other Resources