Spaces:
Sleeping
Sleeping
File size: 11,908 Bytes
be5548b f397ead be5548b f397ead be5548b f397ead be5548b f397ead be5548b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 |
from abc import ABC
from graphviz import Digraph
import re
import random
from termcolor import cprint
from collections import defaultdict
class Node:
def __init__(self, id, label, type, parent=None):
"""
type: type must be "param" or "value"
for type "param" one of the children must be chosen
for type "value" all of the children must be set
"""
self.id = id
self.label = label
self.parent = parent
self.children = []
self.type = type
# calculate node's level
parent_ = self.parent
self.level = 1
while parent_ is not None:
self.level += 1
parent_ = parent_.parent
def __repr__(self):
return f"{self.id}({self.type})-'{self.label}'"
class ParameterTree(ABC):
def __init__(self):
self.last_node_id = 0
self.create_digraph()
self.nodes = {}
self.root = None
def create_digraph(self):
self.tree = Digraph("unix", format='svg')
self.tree.attr(size='30,100')
def get_node_for_id(self, id):
return self.nodes[id]
def add_node(self, label, parent=None, type="param"):
"""
All children of this node must be set
"""
if type not in ["param", "value"]:
raise ValueError('Node type must be "param" or "value"')
if parent is None and self.root is not None:
raise ValueError("Root already set: {}. parent cannot be None. ".format(self.root.id))
# add to graph
node_id = self.new_node_id()
self.nodes[node_id] = Node(id=node_id, label=label, parent=parent, type=type)
if parent is None:
self.root = self.nodes[node_id]
else:
self.nodes[parent.id].children.append(self.nodes[node_id])
return self.nodes[node_id]
def sample_env_params(self, ACL=None):
parameters = {}
nodes = [self.root]
# BFS
while nodes:
node = nodes.pop(0)
if node.type == "param":
if len(node.children) == 0:
raise ValueError("Node {} doesn't have any children.".format(node.label))
if ACL is None:
# choose randomly
chosen = random.choice(node.children)
else:
# let the ACL choose
chosen = ACL.choose(node, parameters)
assert chosen.type == "value"
nodes.append(chosen)
parameters[node] = chosen
elif node.type == "value":
nodes.extend(node.children)
else:
raise ValueError('Node type must be "param" or "value" and is {}'.format(node.type))
return parameters
def new_node_id(self):
new_id = self.last_node_id + 1
self.last_node_id = new_id
return str("node_"+str(new_id))
def print_tree(self, selected_parameters={}):
print("Parameter tree")
nodes = [self.root]
color = None
# BFS
while nodes:
node = nodes.pop(0)
if node.type == "param":
if node in selected_parameters.keys():
color = "blue"
else:
color = None
if node.parent is not None:
cprint("{}: {} ({}) -----> {}: {} ({})".format(
node.parent.type, node.parent.label, node.parent.id,
node.type, node.label, node.id
), color)
else:
cprint("{}: {} ({})".format(node.type, node.label, node.id), color)
nodes.extend(node.children)
def get_all_params(self):
all_params = defaultdict(list)
nodes = [self.root]
while nodes:
node = nodes.pop(0)
if node.type == "value":
all_params[node.parent].append(node)
nodes.extend(node.children)
return all_params
def draw_tree(self, filename, selected_parameters={}, ignore_labels=[], folded_nodes=[], label_parser={}, save=True):
self.create_digraph()
nodes = [self.root]
color_param = "grey60"
color_value = "lightgray"
fontcolor = "black"
fontsize = "18"
dots_fontsize = "30"
folded_param = "grey95"
folded_value = "grey95"
folded_fontcolor = "gray70"
def add_fold_symbol(label, folded=False):
return label
# return label + " ❯" if folded else label
# BFS - construct vizgraph
while nodes:
node = nodes.pop(0)
while node.label in ignore_labels:
node = nodes.pop(0)
if node.label in folded_nodes:
n_label = label_parser.get(node.label, node.label)
n_label = add_fold_symbol(n_label, folded=True)
if node.type == "param":
color = folded_param
self.tree.attr('node', shape='box', style="filled", color=color, fontcolor=folded_fontcolor, fontsize=fontsize)
self.tree.node(name=node.id, label=n_label, type="parameter")
elif node.type == "value":
color = folded_value
self.tree.attr('node', shape='ellipse', style='filled', color=color, fontcolor=folded_fontcolor, fontsize=fontsize)
self.tree.node(name=node.id, label=n_label, type="value")
else:
raise ValueError(f"Undefined node type {node.type}")
# add folded node sign
folded_node_id = node.id+"_fold"
# self.tree.attr('node', shape='ellipse', style='filled', color="white", fontcolor=folded_fontcolor, fontsize=fontsize)
# self.tree.attr('node', shape='none', style='filled', color="gray", fontcolor=folded_fontcolor, fontsize=dots_fontsize)
self.tree.attr('node', shape='none', color="white",fontcolor=folded_fontcolor, fontsize=dots_fontsize)
self.tree.node(name=folded_node_id, label="...", type="value")
self.tree.edge(node.id, folded_node_id, color=folded_fontcolor)
elif node.type == "param":
if node.label in selected_parameters.keys() and (node == self.root or node.parent.selected):
color = "lightblue3"
node.selected=True
else:
color = color_param
node.selected=False
n_label = label_parser.get(node.label, node.label)
n_label = add_fold_symbol(n_label, folded=False)
self.tree.attr('node', shape='box', style="filled", color=color, fontcolor=fontcolor, fontsize=fontsize)
self.tree.node(name=node.id, label=n_label, type="parameter")
nodes.extend(node.children)
elif node.type == "value":
if (selected_parameters.get(node.parent.label, "Not existent") == node.label) and (node == self.root or node.parent.selected):
# if node.label in selected_parameters.values() and (node == self.root or node.parent.selected):
color = "lightblue2"
node.selected = True
else:
color = color_value
node.selected = False
n_label = label_parser.get(node.label, node.label)
n_label = add_fold_symbol(n_label, folded=False)
# add to vizgraph
self.tree.attr('node', shape='ellipse', style='filled', color=color, fontcolor=fontcolor, fontsize=fontsize)
self.tree.node(name=node.id, label=n_label, type="value")
nodes.extend(node.children)
else:
raise ValueError(f"Undefined node type {node.type}")
if node.parent is not None:
self.tree.edge(node.parent.id, node.id)
# draw image
if save:
self.tree.render(filename)
print("Tree image saved in : {}".format(filename))
if __name__ == '__main__':
# demo of how to use the ParameterTree class
tree = ParameterTree()
env_type_nd = tree.add_node("Env_type", type="param")
inf_seeking_nd = tree.add_node("Information_seeking", parent=env_type_nd, type="value")
collab_nd = tree.add_node("Collaboration", parent=env_type_nd, type="value")
perc_inf_nd = tree.add_node("Perception_inference", parent=env_type_nd, type="value")
raise DeprecationWarning("deprecated parameters")
# Information seeking
scaffolding_nd = tree.add_node("Scaffolding", parent=inf_seeking_nd, type="param")
tree.add_node("lot", parent=scaffolding_nd, type="value")
tree.add_node("medium", parent=scaffolding_nd, type="value")
tree.add_node("little", parent=scaffolding_nd, type="value")
tree.add_node("none", parent=scaffolding_nd, type="value")
prag_fr_compl_nd = tree.add_node("Pragmatic_frame_complexity", parent=inf_seeking_nd, type="param")
tree.add_node("Eye contact", parent=prag_fr_compl_nd, type="value")
tree.add_node("Hello", parent=prag_fr_compl_nd, type="value")
emulation_nd = tree.add_node("Emulation", parent=inf_seeking_nd, type="param")
tree.add_node("N", parent=emulation_nd, type="value")
tree.add_node("Y", parent=emulation_nd, type="value")
pointing_nd = tree.add_node("Pointing", parent=inf_seeking_nd, type="param")
tree.add_node("No", parent=pointing_nd, type="value")
tree.add_node("Direct", parent=pointing_nd, type="value")
tree.add_node("Indirect", parent=pointing_nd, type="value")
language_graounding_nd = tree.add_node("Language_grounding", parent=inf_seeking_nd, type="param")
tree.add_node("No", parent=language_graounding_nd, type="value")
tree.add_node("Color", parent=language_graounding_nd, type="value")
tree.add_node("Feedback", parent=language_graounding_nd, type="value")
problem_nd = tree.add_node("Problem", parent=inf_seeking_nd, type="param")
tree.add_node("Boxes", parent=problem_nd, type="value")
tree.add_node("Switches", parent=problem_nd, type="value")
tree.add_node("Corridors", parent=problem_nd, type="value")
obstacles_nd = tree.add_node("Obstacles", parent=inf_seeking_nd, type="param")
tree.add_node("no", parent=obstacles_nd, type="value")
tree.add_node("lava", parent=obstacles_nd, type="value")
tree.add_node("walls", parent=obstacles_nd, type="value")
# Collaboration
colab_type_nd = tree.add_node("Collaboration type", parent=collab_nd, type="param")
tree.add_node("Door Lever", parent=colab_type_nd, type="value")
tree.add_node("Door Button", parent=colab_type_nd, type="value")
tree.add_node("Marble Run", parent=colab_type_nd, type="value")
tree.add_node("Marble Pass", parent=colab_type_nd, type="value")
role_nd = tree.add_node("Role", parent=collab_nd, type="param")
tree.add_node("A", parent=role_nd, type="value")
tree.add_node("B", parent=role_nd, type="value")
tree.add_node("asocial", parent=role_nd, type="value")
# Perception inference
NPC_movement_nd = tree.add_node("NPC movement", parent=perc_inf_nd, type="param")
tree.add_node("can't turn; can't move", parent=NPC_movement_nd, type="value")
tree.add_node("can turn; can't move", parent=NPC_movement_nd, type="value")
tree.add_node("can turn; can move", parent=NPC_movement_nd, type="value")
occlusion_nd = tree.add_node("Occlusions", parent=perc_inf_nd, type="param")
tree.add_node("no", parent=occlusion_nd, type="value")
tree.add_node("walls", parent=occlusion_nd, type="value")
params = tree.sample_env_params()
tree.draw_tree("viz/demotree", params)
|