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webknossos.geometry.vec_int

Classes:

  • VecInt –

    A specialized vector class for storing and manipulating integer values with named axes.

VecInt

Bases: tuple

A specialized vector class for storing and manipulating integer values with named axes.

This class extends the built-in tuple type to provide vector operations while preserving axis information. It allows for initialization with both positional and named arguments.

Attributes:

  • axes (Tuple[str, ...]) –

    Names of the vector's axes, e.g. ('x', 'y', 'z')

Examples:

Create a vector with 4 named dimensions: 

vector_1 = VecInt(1, 2, 3, 4, axes=("x", "y", "z", "t"))
vector_1 = VecInt([1, 2, 3, 4], axes=("x", "y", "z", "t"))
vector_1 = VecInt(x=1, y=2, z=3, t=4)

Create a vector filled with ones: 

vector_2 = VecInt.full(1, axes=("x", "y", "z", "t"))
assert vector_2[0] == vector_2[1] == vector_2[2] == vector_2[3]

Perform vector addition: 

assert vector_1 + vector_2 == VecInt(2, 3, 4, 5)

Methods:

  • add_or_none –

    Adds two VecInts or returns None if the other is None.

  • ceildiv –

    Returns a new VecInt with the ceil division of each element by the other.

  • contains –

    Checks if the vector contains a given element.

  • from_str –

    Returns a new ND Vector from a string representation.

  • full –

    Returns a new ND Vector with all elements set to the same value.

  • is_positive –

    Checks if all elements in the vector are positive.

  • is_uniform –

    Checks if all elements in the vector are the same.

  • moveaxis –

    Allows to move one element at index source to another index target. Similar to

  • ones –

    Returns a new ND Vector with all elements set to 1.

  • pairmax –

    Returns a new VecInt with the maximum of each pair of elements from the two vectors.

  • pairmin –

    Returns a new VecInt with the minimum of each pair of elements from the two vectors.

  • prod –

    Returns the product of all elements in the vector.

  • to_list –

    Returns the vector as a list.

  • to_np –

    Returns the vector as a numpy array.

  • to_tuple –

    Returns the vector as a tuple.

  • with_replaced –

    Returns a new ND Vector with a replaced element at a given index.

  • zeros –

    Returns a new ND Vector with all elements set to 0.

Attributes:

  • axes (Tuple[str, ...]) –
  • x (int) –

    Returns the x component of the vector.

  • y (int) –

    Returns the y component of the vector.

  • z (int) –

    Returns the z component of the vector.

axes instance-attribute 

axes: Tuple[str, ...]

x property 

x: int

Returns the x component of the vector.

y property 

y: int

Returns the y component of the vector.

z property 

z: int

Returns the z component of the vector.

add_or_none 

add_or_none(other: Optional[VecInt]) -> Optional[_T]

Adds two VecInts or returns None if the other is None.

Parameters:

  • other (Optional[VecInt]) –

    The other vector to add.

Returns:

  • Optional[_T] –

    Optional[VecInt]: The sum of the two vectors or None if the other is None.

ceildiv 

ceildiv(other: Union[int, VecIntLike]) -> _T

Returns a new VecInt with the ceil division of each element by the other.

contains 

contains(needle: int) -> bool

Checks if the vector contains a given element.

from_str staticmethod 

from_str(string: str) -> VecInt

Returns a new ND Vector from a string representation.

Parameters:

  • string (str) –

    The string representation of the vector.

Returns:

  • VecInt ( VecInt ) –

    The new vector.

full classmethod 

full(an_int: int, axes: Tuple[str, ...]) -> VecInt

Returns a new ND Vector with all elements set to the same value.

Parameters:

  • an_int (int) –

    The value to set all elements to.

  • axes (Tuple[str, ...]) –

    The axes of the vector.

Returns:

  • VecInt ( VecInt ) –

    The new vector.

is_positive 

is_positive(strictly_positive: bool = False) -> bool

Checks if all elements in the vector are positive.

Parameters:

  • strictly_positive (bool, default: False ) –

    If True, checks if all elements are strictly positive.

Returns:

  • bool ( bool ) –

    True if all elements are positive, False otherwise.

is_uniform 

is_uniform() -> bool

Checks if all elements in the vector are the same.

moveaxis 

moveaxis(source: Union[int, List[int]], target: Union[int, List[int]]) -> _T

Allows to move one element at index source to another index target. Similar to np.moveaxis, this is not a swap operation but instead it moves the specified source so that the other elements move when necessary.

Parameters:

  • source (Union[int, List[int]]) –

    The index of the element to move.

  • target (Union[int, List[int]]) –

    The index where the element should be moved to.

Returns:

  • VecInt ( _T ) –

    A new vector with the moved element.

ones classmethod 

ones(axes: Tuple[str, ...]) -> VecInt

Returns a new ND Vector with all elements set to 1.

Parameters:

  • axes (Tuple[str, ...]) –

    The axes of the vector.

Returns:

  • VecInt ( VecInt ) –

    The new vector.

pairmax 

pairmax(other: Union[int, VecIntLike]) -> _T

Returns a new VecInt with the maximum of each pair of elements from the two vectors.

pairmin 

pairmin(other: Union[int, VecIntLike]) -> _T

Returns a new VecInt with the minimum of each pair of elements from the two vectors.

prod 

prod() -> int

Returns the product of all elements in the vector.

to_list 

to_list() -> List[int]

Returns the vector as a list.

to_np 

to_np() -> ndarray

Returns the vector as a numpy array.

to_tuple 

to_tuple() -> Tuple[int, ...]

Returns the vector as a tuple.

with_replaced 

with_replaced(index: int, new_element: int) -> _T

Returns a new ND Vector with a replaced element at a given index.

zeros classmethod 

zeros(axes: Tuple[str, ...]) -> VecInt

Returns a new ND Vector with all elements set to 0.

Parameters:

  • axes (Tuple[str, ...]) –

    The axes of the vector.

Returns:

  • VecInt ( VecInt ) –

    The new vector.