node.props.count = hn.NodeProperties(
bpy.props.IntProperty(
name="Cuts",
description=
"Number of cuts to make at each edge, i.e. number of new vertices at each edge",
default=1,
min=0))
node.props.mode = hn.NodeProperties(
bpy.props.EnumProperty(name="Mode",
description="Edge split mode",
items=split_modes,
default='SIMPLE'))
node.inputs.verts = hn.SocketProperties(name='Vertices',
socket_type=hn.SockTypes.VERTICES,
deep_copy=False,
vectorize=False,
mandatory=True)
node.inputs.edges = hn.SocketProperties(name='Edges',
socket_type=hn.SockTypes.STRINGS,
deep_copy=True,
vectorize=False,
mandatory=True)
node.inputs.faces = hn.SocketProperties(name='Faces',
socket_type=hn.SockTypes.STRINGS,
deep_copy=True,
vectorize=False,
mandatory=False,
default=[[[]]])
node.inputs.mask = hn.SocketProperties(name='EdgeMask',
socket_type=hn.SockTypes.STRINGS,
node.props.factor = hn.NodeProperties(
bpy.props.FloatProperty(name="Factor",
description="Split Factor",
default=0.5,
min=0.0,
soft_min=0.0,
max=1.0))
node.props.mirror = hn.NodeProperties(
bpy.props.BoolProperty(name="Mirror",
description="Mirror split",
default=False))
node.inputs.verts = hn.SocketProperties(name='Vertices',
socket_type=hn.SockTypes.VERTICES,
deep_copy=False,
vectorize=False,
mandatory=True)
node.inputs.edges = hn.SocketProperties(name='Edges',
socket_type=hn.SockTypes.STRINGS,
deep_copy=False,
vectorize=False,
mandatory=True)
node.inputs.factors = hn.SocketProperties(name='Factor',
socket_type=hn.SockTypes.STRINGS,
prop=node.props.factor,
deep_copy=False)
node.outputs.verts = hn.SocketProperties(name='Vertices',
socket_type=hn.SockTypes.VERTICES)
node.outputs.edges = hn.SocketProperties(name='Edges',
import numpy as np
import bpy
from sverchok.node_tree import SverchCustomTreeNode
from sverchok.data_structure import repeat_last
import sverchok.utils.handling_nodes as hn
node = hn.WrapNode()
node.props.value = hn.NodeProperties(bpy.props.FloatProperty(name='Value'))
node.props.mode = hn.NodeProperties(bpy.props.EnumProperty(items=[(m, m, '') for m in ('single', 'range')]))
node.props.range = hn.NodeProperties(bpy.props.FloatProperty(default=0.1))
node.inputs.values = hn.SocketProperties(
name='Values', socket_type=hn.SockTypes.STRINGS, prop=node.props.value, deep_copy=False)
node.inputs.data = hn.SocketProperties(name='Data', socket_type=hn.SockTypes.STRINGS, deep_copy=False, mandatory=True)
node.inputs.range = hn.SocketProperties(
name='Range', socket_type=hn.SockTypes.STRINGS, prop=node.props.range, deep_copy=False,
show_function=lambda: True if node.props.mode == 'range' else False)
node.outputs.closest_values = hn.SocketProperties(name='Closest values', socket_type=hn.SockTypes.STRINGS)
node.outputs.closest_indexes = hn.SocketProperties(name='Closest indexes', socket_type=hn.SockTypes.STRINGS)
@hn.initialize_node(node)
class SvFindClosestValue(bpy.types.Node, SverchCustomTreeNode):
"""Triggers: find search closest"""
bl_idname = 'SvFindClosestValue'
bl_label = 'Find closest value'
bl_icon = 'VIEWZOOM'
# SPDX-License-Identifier: GPL3
# License-Filename: LICENSE
import numpy as np
import bpy
from sverchok.node_tree import SverchCustomTreeNode
import sverchok.utils.handling_nodes as hn
node = hn.WrapNode()
node.props.value = hn.NodeProperties(bpy.props.FloatProperty(name='Value'))
node.inputs.values = hn.SocketProperties(name='Values',
socket_type=hn.SockTypes.STRINGS,
prop=node.props.value,
deep_copy=False)
node.inputs.data = hn.SocketProperties(name='Data',
socket_type=hn.SockTypes.STRINGS,
deep_copy=False,
mandatory=True)
node.outputs.closest_values = hn.SocketProperties(
name='Closest values', socket_type=hn.SockTypes.STRINGS)
node.outputs.closest_indexes = hn.SocketProperties(
name='Closest indexes', socket_type=hn.SockTypes.STRINGS)
@hn.initialize_node(node)
class SvFindClosestValue(bpy.types.Node, SverchCustomTreeNode):
"""Triggers: find search closest"""