Talk:Python Programming/Source Documentation and Comments

i need help ,please explain this code

import numpy as np class Agent():

   Template for Agent class. Uncallable
   def __init__(self, start_loc, home_loc, start_face):
       self.bump = False
       self.dirty = False
       self.home = False
       self.loc = start_loc
       self.home_loc =home_loc
       self.bearing = self.__bearing__(start_face)
       self.percept_sequence = []
       self.action = 'powerup'

   def __bearing__(self, face):
       Converts an alphanumeric bearing into a coordinate
       return (np.array([-1,0]) if face=='N'
           else np.array([1,0]) if face=='S'
           else np.array([0,1]) if face=='E'
           else np.array([0,-1]))

   def get_percept(self, state):
       
       Sets conditions for when each of three onboard detectors should be set
       to 1
       
       self.bump = False
       self.dirty = False
       self.home = False
       if (min(self.loc + self.bearing) < 0
               or min(state.shape - self.loc - self.bearing) == 0
               or state[self.loc[0] + self.bearing[0],
                           self.loc[1] + self.bearing[1]] == 2):
           self.bump = True
       if state[self.loc[0], self.loc[1]] == 1:
           self.dirty = True
       # determine if vacuum is in home loc
       if (self.loc-self.home_loc).sum() == 0:
           self.home = True
       print (self.bump, self.dirty, self.home)
       self.percept_sequence.append((self.bump, self.dirty, self.home))

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