Source code for geoh5py.objects.curve

#  Copyright (c) 2024 Mira Geoscience Ltd.
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#  This file is part of geoh5py.
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from __future__ import annotations

import uuid

import numpy as np

from ..shared.utils import str2uuid
from .cell_object import CellObject


[docs] class Curve(CellObject): """ Curve object defined by a series of line segments (:obj:`~geoh5py.objects.curve.Curve.cells`) connecting :obj:`~geoh5py.objects.object_base.ObjectBase.vertices`. :param current_line_id: Unique identifier of the current line. :param parts: Group identifiers for vertices connected by line segments as defined by the :obj:`~geoh5py.objects.curve.Curve.cells` property. :param vertices: Array of vertices as defined by :obj:`~geoh5py.objects.points.Points.vertices`. """ _attribute_map: dict = CellObject._attribute_map.copy() _attribute_map.update( { "Current line property ID": "current_line_id", } ) _default_name = "Curve" _TYPE_UID: uuid.UUID | None = uuid.UUID( fields=(0x6A057FDC, 0xB355, 0x11E3, 0x95, 0xBE, 0xFD84A7FFCB88) ) _minimum_vertices = 2 def __init__( # pylint: disable="too-many-arguments" self, current_line_id: uuid.UUID | None = None, parts: np.ndarray | None = None, vertices: np.ndarray | list | tuple | None = None, **kwargs, ): self._parts = self.validate_parts(parts, vertices) super().__init__( vertices=vertices, **kwargs, ) self.current_line_id = current_line_id @property def current_line_id(self) -> uuid.UUID | None: """ Unique identifier of the current line. """ return self._current_line_id @current_line_id.setter def current_line_id(self, value: uuid.UUID | None): value = str2uuid(value) if not isinstance(value, (uuid.UUID, type(None))): raise TypeError( f"Input current_line_id value should be of type {uuid.UUID}." f" {type(value)} provided" ) self._current_line_id = value if self.on_file: self.workspace.update_attribute(self, "attributes") def _make_cells_from_parts(self) -> np.ndarray: """ Generate cells from parts. """ cells = [] for part_id in self.unique_parts: ind = np.where(self.parts == part_id)[0] cells.append(np.sort(np.c_[ind[:-1], ind[1:]], axis=0)) return np.vstack(cells) @property def parts(self) -> np.ndarray: """ Group identifiers for vertices connected by line segments as defined by the :obj:`~geoh5py.objects.curve.Curve.cells` property. The definition of the :obj:`~geoh5py.objects.curve.Curve.cells` property get modified by the setting of parts. """ if self._parts is None: if len(self.cells) == 0: parts = np.arange(self.n_vertices, dtype=int) else: cell_parts = np.r_[ 0, np.cumsum(self.cells[1:, 0] != self.cells[:-1, 1]) ] parts = np.zeros(self.n_vertices, dtype=int) parts[self.cells.flatten()] = np.kron(cell_parts, np.ones(2)) self._parts = parts return self._parts
[docs] def remove_vertices( self, indices: list[int] | np.ndarray, clear_cache: bool = False ): """ Safely remove vertices and cells and corresponding data entries. :param indices: Indices of vertices to be removed. :param clear_cache: Clear cache of data values. """ super().remove_vertices(indices, clear_cache=clear_cache) self._parts = None
[docs] @staticmethod def validate_parts( indices: list | tuple | np.ndarray | None, vertices: np.ndarray | None ): if indices is None: return None if isinstance(indices, (list | tuple)): indices = np.asarray(indices, dtype="int32") if not isinstance(indices, np.ndarray): raise TypeError("Parts must be a list or numpy array.") indices = indices.astype("int32") if vertices is not None and len(indices) != vertices.shape[0]: raise ValueError(f"Provided parts must be of shape {vertices.shape[0]}") return indices
@property def unique_parts(self) -> list[int]: """ Unique :obj:`~geoh5py.objects.curve.Curve.parts` identifiers. """ return np.unique(self.parts).tolist()
[docs] def validate_cells(self, indices: list | tuple | np.ndarray | None) -> np.ndarray: """ Validate or generate cells made up of pairs of vertices making up line segments. :param indices: Array of indices, shape(*, 2). If None provided, the vertices are connected sequentially. :return: Array of indices defining connected vertices. """ # Auto-create from parts or connect vertices sequentially if indices is None: if self._parts is not None: indices = self._make_cells_from_parts() else: n_segments = self.n_vertices indices = np.c_[ np.arange(0, n_segments - 1), np.arange(1, n_segments) ].astype("uint32") if isinstance(indices, (list, tuple)): indices = np.array(indices, ndmin=2) if not isinstance(indices, np.ndarray): raise TypeError( "Attribute 'cells' must be provided as type numpy.ndarray, list or tuple." ) if indices.ndim != 2 or indices.shape[1] != 2: raise ValueError("Array of cells should be of shape (*, 2).") if not np.issubdtype(indices.dtype, np.integer): raise TypeError("Indices array must be of integer type") if len(indices) > 0 and np.max(indices) > (self.n_vertices - 1): raise ValueError("Found cell indices larger than the number of vertices.") return indices