Inheritance diagram for iolink.iolink.Vector4i64:

Public Member Functions
	__init__ (self, *args)

	size (self)

	at (self, index)

	set_at (self, index, value)

	squared_length (self)

	length (self)

	normalize (self)

	__eq__ (self, other)

	__ne__ (self, other)

	to_string (self)

	__neg__ (self)

	__iadd__ (self, v)

	__isub__ (self, v)

	__add__ (self, v)

	__sub__ (self, v)

	dot (self, v)

	cross (self, v)

	__imul__ (self, *args)

	__itruediv__ (self, *args)

	__mul__ (self, *args)

	__truediv__ (self, *args)

	__lt__ (self, other)

	__le__ (self, other)

	__gt__ (self, other)

	__ge__ (self, other)

	__init__ (self, *args)

	__iter__ (self)

	__len__ (self)

	__repr__ (self)

	__getitem__ (self, index)

	__setitem__ (self, index, value)

Static Public Member Functions
	create_uniform (value)

Properties
	thisown = property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc="The membership flag")

Detailed Description

An arithmetic vector.

:param T: The type wrote in the vector.
:param N: The size, or number of dimension of the vector.

Aliases can be used to made this class more practical to use. They use the
following convention:
   VectorNX
Where N is the size and X the type. The types currently available are:
- U8 and I8 respectively for unsigned and signed 8bits integers.
- U16 and I16 respectively for unsigned and signed 16bits integers.
- U32 and I32 respectively for unsigned and signed 32bits integers.
- U64 and I64 respectively for unsigned and signed 64bits integers.
- F for single precision floats.
- D for double precision floats.

Examples:
- Vector2i32: 2 dimensional 32bits signed integer.
- Vector3f: 3 dimensionnal single precision float.

Member Function Documentation

◆ at()

iolink.iolink.Vector4i64.at	(	self,
		index
	)

Access vector's value at given index.

◆ create_uniform()

iolink.iolink.Vector4i64.create_uniform ( value )

static

    Create a vector with the given value for all components.

    :type value: int
    :param value: The value wich the vector's data will be filled.

◆ cross()

iolink.iolink.Vector4i64.cross	(	self,
		v
	)

    Cross product of two vectors.

    Work only for vectors of size 3.

◆ dot()

iolink.iolink.Vector4i64.dot	(	self,
		v
	)

Dot product of two vectors.

◆ length()

iolink.iolink.Vector4i64.length ( self )

    Returns the vector's norm.

    Specifically, it is the L1 norm that's computed here.

◆ normalize()

iolink.iolink.Vector4i64.normalize ( self )

Normalize the vector

◆ set_at()

iolink.iolink.Vector4i64.set_at	(	self,
		index,
		value
	)

Set value as given index.

◆ size()

iolink.iolink.Vector4i64.size ( self )

Returns the size of the vector, which also correspond to vector number of dimension.

◆ squared_length()

iolink.iolink.Vector4i64.squared_length ( self )

    Returns the vector's norm, squared.

    Specifically, it is the L1 norm that's computed here.

The documentation for this class was generated from the following file:

Release/python/iolink/iolink.py

Public Member Functions

Static Public Member Functions

Properties