fix doc domain
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@@ -1,4 +1,4 @@
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"""Module for Union class."""
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"""Module for the Union Operation."""
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import random
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import torch
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@@ -7,51 +7,51 @@ from ..label_tensor import LabelTensor
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class Union(OperationInterface):
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"""
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Union of Domains.
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r"""
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Implementation of the union operation between of a list of domains.
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Given two sets :math:`A` and :math:`B`, define the union of the two sets as:
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.. math::
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A \cup B = \{x \mid x \in A \lor x \in B\},
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where :math:`x` is a point in :math:`\mathbb{R}^N`.
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"""
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def __init__(self, geometries):
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r"""
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PINA implementation of Unions of Domains.
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Given two sets :math:`A` and :math:`B` then the
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domain difference is defined as:
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"""
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Initialization of the :class:`Union` class.
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.. math::
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A \cup B = \{x \mid x \in A \lor x \in B\},
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with :math:`x` a point in :math:`\mathbb{R}^N` and :math:`N`
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the dimension of the geometry space.
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:param list geometries: A list of geometries from ``pina.geometry``
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such as ``EllipsoidDomain`` or ``CartesianDomain``.
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:param list[DomainInterface] geometries: A list of instances of the
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:class:`~pina.domain.DomainInterface` class on which the union
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operation is performed.
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:Example:
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>>> # Create two ellipsoid domains
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>>> ellipsoid1 = EllipsoidDomain({'x': [-1, 1], 'y': [-1, 1]})
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>>> ellipsoid2 = EllipsoidDomain({'x': [0, 2], 'y': [0, 2]})
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>>> # Create a union of the ellipsoid domains
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>>> union = GeometryUnion([ellipsoid1, ellipsoid2])
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>>> # Define the union of the domains
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>>> union = Union([ellipsoid1, ellipsoid2])
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"""
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super().__init__(geometries)
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@property
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def sample_modes(self):
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"""
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List of available sampling modes.
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"""
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self.sample_modes = list(
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set(geom.sample_modes for geom in self.geometries)
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)
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def is_inside(self, point, check_border=False):
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"""
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Check if a point is inside the ``Union`` domain.
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Check if a point is inside the resulting domain.
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:param point: Point to be checked.
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:type point: LabelTensor
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:param check_border: Check if the point is also on the frontier
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of the ellipsoid, default ``False``.
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:type check_border: bool
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:return: Returning ``True`` if the point is inside, ``False`` otherwise.
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:param LabelTensor point: Point to be checked.
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:param bool check_border: If ``True``, the border is considered inside
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the domain. Default is ``False``.
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:return: ``True`` if the point is inside the domain, ``False`` otherwise.
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:rtype: bool
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"""
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for geometry in self.geometries:
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@@ -61,21 +61,20 @@ class Union(OperationInterface):
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def sample(self, n, mode="random", variables="all"):
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"""
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Sample routine for ``Union`` domain.
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Sampling routine.
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:param int n: Number of points to sample in the shape.
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:param str mode: Mode for sampling, defaults to ``random``. Available
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modes include: ``random``.
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:param variables: Variables to be sampled, defaults to ``all``.
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:type variables: str | list[str]
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:return: Returns ``LabelTensor`` of n sampled points.
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:param int n: Number of points to sample.
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:param str mode: Sampling method. Default is ``random``.
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Available modes: random sampling, ``random``;
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:param list[str] variables: variables to be sampled. Default is ``all``.
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:return: Sampled points.
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:rtype: LabelTensor
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:Example:
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>>> # Create two ellipsoid domains
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>>> # Create two cartesian domains
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>>> cartesian1 = CartesianDomain({'x': [0, 2], 'y': [0, 2]})
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>>> cartesian2 = CartesianDomain({'x': [1, 3], 'y': [1, 3]})
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>>> # Create a union of the ellipsoid domains
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>>> # Define the union of the domains
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>>> union = Union([cartesian1, cartesian2])
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>>> # Sample
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>>> union.sample(n=5)
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