Create a 2D pedestrian

import pprint

import configuration.utils.constants as cst
from configuration.models.agents import Agent
from configuration.models.measures import AgentMeasures

# Define the type of agent to be created (e.g., pedestrian)
agent_type = cst.AgentTypes.pedestrian

# Define a dictionary containing measurements specific to the agent type
measures = {
    "sex": "male",  # Specify the sex of the agent
    "bideltoid_breadth": 45.0,  # Shoulder breadth (cm)
    "chest_depth": 25.0,  # Chest depth (cm)
    "height": 180.0,  # Height of the agent (cm)
    "weight": 75.0,  # Weight of the agent (kg)
}

# Create an instance of AgentMeasures using the defined agent type and measurements
agent_measures = AgentMeasures(agent_type=agent_type, measures=measures)

# Create an instance of Agent using the defined agent type and measures object
current_agent = Agent(agent_type=agent_type, measures=agent_measures)

# Retrieve additional parameters for 2D shapes associated with the current agent (in meters)
shapes2D_dict = current_agent.shapes2D.get_additional_parameters()

pprint.pprint(shapes2D_dict)

{'disk0': {'material': 'human_naked',
           'radius': 0.087,
           'type': 'disk',
           'x': -0.017,
           'y': 0.138},
 'disk1': {'material': 'human_naked',
           'radius': 0.119,
           'type': 'disk',
           'x': 0.01,
           'y': 0.061},
 'disk2': {'material': 'human_naked',
           'radius': 0.125,
           'type': 'disk',
           'x': 0.015,
           'y': 0.0},
 'disk3': {'material': 'human_naked',
           'radius': 0.119,
           'type': 'disk',
           'x': 0.01,
           'y': -0.061},
 'disk4': {'material': 'human_naked',
           'radius': 0.087,
           'type': 'disk',
           'x': -0.017,
           'y': -0.138}}