code: def simulate(self, transition_strategy, pacing_strategy):
      if len(transition_strategy) != self.maximum_transitions:
          raise ValueError(
              f"Transition strategy for the mens team pursuit must have exactly {self.maximum_transitions} elements"
          )
      if len(pacing_strategy) != self.race_segments:
          raise ValueError(
              f"Pacing strategy for the mens team pursuit must have exactly {self.race_segments} elements"
          )
      for i in range(0, self.race_segments):
          if (
              pacing_strategy[i] > Cyclist.max_power
              or pacing_strategy[i] < Cyclist.min_power
          ):
              raise ValueError(
                  f"All power elements of the pacing strategy must be in the range {Cyclist.min_power}-{Cyclist.max_power} Watts, was {pacing_strategy[i]}"
              )
  
      for i in range(0, len(self.team)):
          self.team[i].reset()
  
      velocity_profile = [None] * self.race_segments
      proportion_completed = 0
      race_time = 0
  
      for i in range(0, self.race_segments):
          if (i == 0) or (i == (self.race_segments - 1)):
              distance = 187.5
          else:
              distance = 125.0
          if super().cyclists_remaining() >= 3:
              if super().cyclists_remaining() == 3:
                  self.validate_order()
  
              if i >= 1 and transition_strategy[i - 1]:
                  super().transition()
                  race_time += teampursuit.transition_time
  
              leader = super().leader()
              time = 0.0
              distance_ridden = 0.0
              while distance_ridden < distance:
                  dist = leader.set_pace(pacing_strategy[i])
  
                  for j in range(0, len(self.team)):
                      if self.team[j].get_position() > 1:
                          self.team[j].follow(dist)
  
                  if distance_ridden + dist <= distance:
                      distance_ridden += dist
                  else:
                      distance_ridden = distance
  
                  time += self.time_step
  
              leader.increase_fatigue()
              for j in range(0, len(self.team)):
                  if self.team[j].get_position() > 1:
                      self.team[j].recover()
  
              if super().cyclists_remaining() >= 3:
                  velocity_profile[i] = distance / time
                  race_time += time
                  proportion_completed += distance / self.race_distance
              else:
                  race_time = math.inf
          else:
              race_time = math.inf
              break
  
      remaining_energies = []
      for i in range(0, len(self.team)):
          remaining_energies.append(self.team[i].get_remaining_energy())
  
      return simulationresult(
          race_time,
          proportion_completed,
          remaining_energies,
          velocity_profile,
      )
  
file_path: nevergrad/nevergrad/functions/cycling/mensteampursuit.py
imports: from .teampursuit import teampursuit
  from .cyclist import Cyclist
  from .simulationresult import simulationresult
  import math
label_desc: Use image node_id 2 for calling the mensteampursuit obj's underlying member method code with example usage: obj.simulate(transition_strategy, pacing_strategy) and returns: simulationresult