basic_grid.py

@@ -2,23 +2,23 @@
 import pygame
 
 # Import pygame.locals for easier access to key coordinates
-# Updated to conform to flake8 and black standards
 from pygame.locals import (
     K_UP,
-    K_DOWN,
     K_LEFT,
     K_RIGHT,
     K_ESCAPE,
-    K_SPACE,
     KEYDOWN,
     QUIT
 )
 
-from field import *
-from tractor import *
-from plant import *
-from colors import *
-from dimensions import *
+# Import other files from project
+import field as F
+import tractor as T
+import plant as P
+import colors as C
+import dimensions as D
+import node as N
+import mapschema as maps
 
 # Initialize pygame
 pygame.init()
@@ -28,32 +28,51 @@ pygame.display.set_caption("Inteligentny Traktor")
 
 # Create the screen object
 # The size is determined by the constant SCREEN_WIDTH and SCREEN_HEIGHT
-screen = pygame.display.set_mode((SCREEN_WIDTH, SCREEN_HEIGHT))
+screen = pygame.display.set_mode((D.SCREEN_WIDTH, D.SCREEN_HEIGHT))
+
+# Define the map of the field
+mapschema = maps.createField()
 
 # Create field array
 field = []
 
-for row in range(GSIZE):
+# Populate the field array
+for row in range(D.GSIZE):
     field.append([])
-    for column in range(GSIZE):
-        fieldbit = Field(row, column)
+    for column in range(D.GSIZE):
+        fieldbit = F.Field(row, column, mapschema[column][row])
         field[row].append(fieldbit)
 
-tractor = Tractor(field[0][0])
+# Create Tractor object
+tractor = T.Tractor(field, [0,0])
 
-plant = Plant(field[1][1], "wheat")
+# Define the map of plants
+mapschema = maps.createPlants()
 
+# Createt plants array
+plants = []
 
-print(tractor.rect)
-print(field[0][0].rect)
+# Populate the plants array
+for row in range(D.GSIZE):
+    plants.append([])
+    for column in range(D.GSIZE):
+        if mapschema[column][row] != 0:
+            plantbit = P.Plant(field[row][column], mapschema[column][row])
+            plants[row].append(plantbit)
+
+# Create list for tractor instructions
+path = []
 
 # Variable to keep the main loop running
 RUNNING = True
 
-ticker = 0
+# Variable conroling timed eventes
+TICKER = 0
 
+# Initialize clock
 clock = pygame.time.Clock()
 
+
 # Main loop
 while RUNNING:
 
@@ -68,37 +87,70 @@ while RUNNING:
         elif event.type == QUIT:
             RUNNING = False
 
-    # Get all keys pressed at a time
+    # Create key Node that will be used to calculate tractor instructions
+    processor = N.Node(field, tractor.position, tractor.direction)
+
+    # If path is empty or nonexistent, create new one
+    if path is None or len(path) == 0:
+        path = processor.findPathToPlant()
+
+    # control tractor by poping instructions from path list
+    if path is not None:
+        if path[0] == "move":
+            tractor.move()
+            path.pop(0)
+        elif path[0] =="left":
+            tractor.rotate_left()
+            path.pop(0)
+        elif path[0] == "right":
+            tractor.rotate_right()
+            path.pop(0)
+        elif path[0] == "hydrate":
+            tractor.hydrate(field)
+            path.pop(0)
+        else:
+            path.pop(0)
+
+    # Get all keys pressed at a time CURRENTLY UNUSED
     pressed_keys = pygame.key.get_pressed()
     
-    # Update the state of tractor
-    tractor.update(pressed_keys)
-    tractor.hydrate(field, pressed_keys)
+    # control tractor with pressed keys CURRENTLY UNUSED
+    if pressed_keys[K_UP]:
+        tractor.move()
+    elif pressed_keys[K_LEFT]:
+        tractor.rotate_left()
+    elif pressed_keys[K_RIGHT]:
+        tractor.rotate_right()
 
     # Set the screen background
-    screen.fill(DBROWN)
+    screen.fill(C.DBROWN)
 
     # Draw the field
-    for row in range(GSIZE):
-        for column in range(GSIZE):
+    for row in range(D.GSIZE):
+        for column in range(D.GSIZE):
             screen.blit(field[row][column].surf, field[row][column].rect)
 
+    # Draw the tactor
     screen.blit(tractor.surf, tractor.rect)
 
-    # Draw the player on the screen
+    # Plants grow with every 10th tick, then they are drawn
+    for row in plants:
+        for plant in row:
+            plant.tick()
+            plant.grow()
             screen.blit(plant.surf, plant.rect)
     
-    if ticker == 0:
-        for row in range(GSIZE):
-            for column in range(GSIZE):
+    # Field are drying with every 100th tick
+    if TICKER == 0:
+        for row in range(D.GSIZE):
+            for column in range(D.GSIZE):
                 field[row][column].dehydrate()
 
-        plant.grow()
-
-    ticker = (ticker + 1)%4
+    # Increment ticker 
+    TICKER = (TICKER + 1)%100
 
     # Update the screen
     pygame.display.flip()
 
-    # Ensure program maintains a rate of 15 frames per second
-    clock.tick(4)
+    # Ensure program maintains a stable framerate
+    clock.tick(8)

cases.py

@@ -0,0 +1,259 @@
+class Case:
+    def __init__(self, values, attributes, Class):
+        self.values = values
+        self.attributes = attributes
+        self.Class = Class
+
+attributes = ["field.hydration", "field.fertility", "species", "ticks", "is_healthy", "field.tractor_there"]
+
+cases = [Case([4, 0, "potato", 0, 1, 0], attributes, 0),
+Case([2, 0, "sorrel", 1, 1, 0], attributes, 1),
+Case([4, 1, "wheat", 0, 0, 1], attributes, 0),
+Case([1, 1, "potato", 1, 0, 1], attributes, 0),
+Case([2, 1, "potato", 0, 0, 1], attributes, 0),
+Case([2, 0, "potato", 0, 1, 0], attributes, 0),
+Case([1, 1, "strawberry", 1, 0, 1], attributes, -1),
+Case([1, 0, "wheat", 1, 1, 1], attributes, 0),
+Case([2, 0, "wheat", 1, 0, 1], attributes, 0),
+Case([1, 1, "strawberry", 0, 1, 1], attributes, 0),
+Case([3, 1, "potato", 1, 1, 0], attributes, 1),
+Case([2, 1, "strawberry", 1, 0, 0], attributes, 0),
+Case([4, 0, "wheat", 1, 1, 1], attributes, 0),
+Case([4, 1, "wheat", 1, 0, 1], attributes, 0),
+Case([5, 1, "potato", 1, 1, 1], attributes, 0),
+Case([4, 0, "strawberry", 1, 0, 0], attributes, 0),
+Case([1, 1, "sorrel", 1, 0, 0], attributes, 0),
+Case([0, 0, "sorrel", 0, 0, 1], attributes, 0),
+Case([2, 0, "sorrel", 1, 1, 0], attributes, 1),
+Case([0, 1, "sorrel", 0, 1, 1], attributes, 0),
+Case([0, 1, "strawberry", 1, 1, 0], attributes, -1),
+Case([2, 0, "sorrel", 0, 1, 1], attributes, 0),
+Case([4, 0, "wheat", 1, 0, 1], attributes, 0),
+Case([5, 0, "wheat", 0, 0, 0], attributes, 0),
+Case([0, 0, "strawberry", 1, 0, 0], attributes, -1),
+Case([4, 0, "sorrel", 1, 0, 0], attributes, 0),
+Case([3, 0, "sorrel", 0, 0, 1], attributes, 0),
+Case([3, 1, "potato", 1, 0, 1], attributes, 0),
+Case([4, 1, "potato", 0, 0, 1], attributes, 0),
+Case([1, 1, "wheat", 0, 1, 1], attributes, 0),
+Case([3, 0, "wheat", 0, 1, 1], attributes, 0),
+Case([2, 0, "wheat", 0, 0, 0], attributes, 0),
+Case([5, 1, "potato", 1, 1, 1], attributes, 0),
+Case([4, 1, "strawberry", 0, 0, 1], attributes, 0),
+Case([1, 0, "potato", 1, 1, 0], attributes, 0),
+Case([4, 1, "sorrel", 1, 1, 1], attributes, 0),
+Case([0, 1, "sorrel", 0, 0, 0], attributes, 0),
+Case([4, 0, "strawberry", 1, 0, 0], attributes, 0),
+Case([4, 0, "sorrel", 1, 0, 0], attributes, 0),
+Case([5, 0, "strawberry", 0, 1, 1], attributes, 0),
+Case([3, 1, "wheat", 1, 1, 1], attributes, 0),
+Case([3, 0, "strawberry", 0, 1, 1], attributes, 0),
+Case([4, 0, "potato", 0, 0, 1], attributes, 0),
+Case([5, 1, "wheat", 1, 1, 1], attributes, 0),
+Case([3, 0, "strawberry", 0, 1, 1], attributes, 0),
+Case([3, 0, "sorrel", 0, 0, 1], attributes, 0),
+Case([0, 0, "potato", 1, 1, 1], attributes, -1),
+Case([4, 0, "strawberry", 1, 1, 1], attributes, 0),
+Case([2, 1, "strawberry", 1, 0, 1], attributes, 0),
+Case([2, 1, "wheat", 0, 0, 1], attributes, 0),
+Case([2, 1, "sorrel", 1, 1, 0], attributes, 1),
+Case([1, 0, "potato", 1, 0, 1], attributes, 0),
+Case([4, 0, "strawberry", 1, 0, 0], attributes, 0),
+Case([4, 1, "potato", 1, 1, 1], attributes, 0),
+Case([0, 0, "strawberry", 1, 0, 1], attributes, -1),
+Case([0, 1, "wheat", 0, 0, 0], attributes, 0),
+Case([1, 1, "wheat", 0, 1, 0], attributes, 0),
+Case([0, 0, "sorrel", 1, 1, 0], attributes, -1),
+Case([2, 0, "sorrel", 0, 0, 1], attributes, 0),
+Case([5, 1, "wheat", 1, 1, 1], attributes, 0),
+Case([2, 0, "strawberry", 0, 1, 0], attributes, 0),
+Case([2, 1, "wheat", 0, 0, 1], attributes, 0),
+Case([3, 0, "potato", 1, 0, 1], attributes, 0),
+Case([5, 0, "wheat", 1, 1, 1], attributes, 0),
+Case([0, 1, "strawberry", 1, 0, 0], attributes, -1),
+Case([0, 0, "wheat", 0, 0, 0], attributes, 0),
+Case([5, 0, "potato", 1, 1, 0], attributes, 1),
+Case([2, 0, "strawberry", 0, 1, 1], attributes, 0),
+Case([3, 1, "sorrel", 0, 1, 0], attributes, 0),
+Case([2, 1, "potato", 1, 1, 1], attributes, 0),
+Case([5, 0, "strawberry", 1, 1, 0], attributes, 1),
+Case([5, 0, "wheat", 0, 0, 0], attributes, 0),
+Case([5, 0, "wheat", 1, 1, 0], attributes, 1),
+Case([2, 0, "potato", 1, 0, 0], attributes, 0),
+Case([3, 1, "wheat", 0, 1, 0], attributes, 0),
+Case([3, 0, "potato", 1, 1, 1], attributes, 0),
+Case([0, 1, "sorrel", 1, 1, 1], attributes, -1),
+Case([0, 0, "strawberry", 1, 1, 1], attributes, -1),
+Case([2, 1, "strawberry", 0, 1, 0], attributes, 0),
+Case([0, 1, "sorrel", 1, 1, 0], attributes, -1),
+Case([3, 0, "wheat", 0, 1, 1], attributes, 0),
+Case([4, 0, "strawberry", 1, 0, 1], attributes, 0),
+Case([3, 1, "potato", 0, 0, 1], attributes, 0),
+Case([1, 1, "sorrel", 0, 0, 0], attributes, 0),
+Case([5, 1, "wheat", 1, 0, 1], attributes, 0),
+Case([5, 0, "potato", 1, 0, 1], attributes, 0),
+Case([3, 0, "potato", 0, 0, 1], attributes, 0),
+Case([1, 0, "wheat", 0, 1, 0], attributes, 0),
+Case([5, 0, "sorrel", 0, 1, 1], attributes, 0),
+Case([4, 0, "potato", 0, 1, 0], attributes, 0),
+Case([0, 0, "strawberry", 0, 0, 0], attributes, 0),
+Case([5, 0, "sorrel", 1, 1, 0], attributes, 1),
+Case([4, 1, "sorrel", 0, 0, 0], attributes, 0),
+Case([1, 1, "strawberry", 1, 1, 0], attributes, -1),
+Case([5, 0, "strawberry", 1, 0, 0], attributes, 0),
+Case([5, 1, "wheat", 0, 0, 0], attributes, 0),
+Case([0, 1, "sorrel", 1, 1, 0], attributes, -1),
+Case([3, 1, "potato", 1, 0, 1], attributes, 0),
+Case([1, 0, "sorrel", 0, 0, 0], attributes, 0),
+Case([3, 0, "wheat", 0, 1, 1], attributes, 0),
+Case([0, 0, "wheat", 0, 0, 1], attributes, 0),
+Case([1, 0, "potato", 0, 0, 0], attributes, 0),
+Case([1, 1, "sorrel", 0, 1, 0], attributes, 0),
+Case([0, 1, "strawberry", 0, 1, 0], attributes, 0),
+Case([5, 1, "potato", 1, 0, 1], attributes, 0),
+Case([2, 0, "strawberry", 1, 1, 1], attributes, 0),
+Case([4, 1, "wheat", 1, 0, 0], attributes, 0),
+Case([0, 1, "sorrel", 1, 1, 0], attributes, -1),
+Case([1, 0, "strawberry", 1, 1, 1], attributes, -1),
+Case([4, 0, "wheat", 0, 0, 0], attributes, 0),
+Case([4, 0, "strawberry", 0, 1, 0], attributes, 0),
+Case([0, 0, "sorrel", 1, 0, 1], attributes, -1),
+Case([1, 0, "strawberry", 0, 1, 0], attributes, 0),
+Case([0, 0, "strawberry", 1, 1, 1], attributes, -1),
+Case([2, 1, "potato", 0, 0, 0], attributes, 0),
+Case([3, 1, "strawberry", 1, 1, 0], attributes, 1),
+Case([1, 0, "sorrel", 1, 1, 1], attributes, 0),
+Case([5, 1, "strawberry", 1, 1, 0], attributes, 1),
+Case([2, 0, "wheat", 1, 1, 1], attributes, 0),
+Case([5, 1, "strawberry", 0, 1, 0], attributes, 0),
+Case([1, 1, "wheat", 0, 1, 1], attributes, 0),
+Case([1, 1, "potato", 0, 1, 0], attributes, 0),
+Case([4, 0, "potato", 1, 1, 0], attributes, 1),
+Case([2, 1, "strawberry", 0, 0, 1], attributes, 0),
+Case([0, 1, "potato", 0, 0, 1], attributes, 0),
+Case([3, 0, "sorrel", 1, 0, 1], attributes, 0),
+Case([4, 0, "wheat", 1, 0, 1], attributes, 0),
+Case([5, 1, "sorrel", 1, 0, 0], attributes, 0),
+Case([1, 0, "sorrel", 1, 0, 0], attributes, 0),
+Case([5, 0, "sorrel", 1, 0, 1], attributes, 0),
+Case([2, 1, "potato", 1, 0, 1], attributes, 0),
+Case([1, 0, "potato", 1, 1, 1], attributes, 0),
+Case([4, 0, "wheat", 1, 1, 0], attributes, 1),
+Case([0, 0, "sorrel", 0, 1, 0], attributes, 0),
+Case([2, 0, "wheat", 0, 0, 1], attributes, 0),
+Case([0, 1, "potato", 1, 0, 1], attributes, -1),
+Case([0, 1, "sorrel", 1, 0, 1], attributes, -1),
+Case([1, 1, "potato", 0, 0, 1], attributes, 0),
+Case([3, 0, "sorrel", 1, 1, 1], attributes, 0),
+Case([0, 0, "potato", 1, 0, 1], attributes, -1),
+Case([4, 0, "potato", 0, 0, 1], attributes, 0),
+Case([0, 0, "strawberry", 1, 0, 0], attributes, -1),
+Case([0, 0, "strawberry", 1, 1, 1], attributes, -1),
+Case([5, 0, "potato", 0, 1, 1], attributes, 0),
+Case([2, 0, "potato", 0, 0, 0], attributes, 0),
+Case([0, 1, "potato", 1, 0, 0], attributes, -1),
+Case([1, 0, "potato", 0, 0, 1], attributes, 0),
+Case([4, 0, "sorrel", 1, 0, 1], attributes, 0),
+Case([1, 0, "potato", 1, 0, 0], attributes, 0),
+Case([5, 1, "potato", 1, 0, 1], attributes, 0),
+Case([2, 1, "wheat", 1, 0, 0], attributes, 0),
+Case([0, 1, "potato", 1, 1, 1], attributes, -1),
+Case([5, 1, "strawberry", 0, 1, 0], attributes, 0),
+Case([3, 0, "strawberry", 0, 1, 1], attributes, 0),
+Case([3, 0, "strawberry", 1, 0, 0], attributes, 0),
+Case([0, 1, "strawberry", 0, 0, 1], attributes, 0),
+Case([0, 1, "wheat", 0, 0, 0], attributes, 0),
+Case([0, 1, "strawberry", 1, 0, 0], attributes, -1),
+Case([1, 0, "potato", 0, 0, 1], attributes, 0),
+Case([1, 1, "wheat", 0, 0, 0], attributes, 0),
+Case([0, 1, "strawberry", 1, 0, 1], attributes, -1),
+Case([1, 1, "potato", 0, 0, 1], attributes, 0),
+Case([0, 0, "wheat", 0, 0, 1], attributes, 0),
+Case([4, 1, "sorrel", 1, 1, 1], attributes, 0),
+Case([5, 1, "wheat", 0, 0, 1], attributes, 0),
+Case([5, 1, "strawberry", 0, 0, 0], attributes, 0),
+Case([4, 1, "wheat", 0, 0, 1], attributes, 0),
+Case([1, 1, "sorrel", 0, 0, 0], attributes, 0),
+Case([1, 1, "potato", 1, 1, 0], attributes, 0),
+Case([0, 1, "sorrel", 1, 0, 0], attributes, -1),
+Case([5, 0, "sorrel", 1, 0, 0], attributes, 0),
+Case([0, 0, "strawberry", 1, 1, 1], attributes, -1),
+Case([0, 0, "potato", 0, 0, 0], attributes, 0),
+Case([0, 0, "strawberry", 1, 1, 1], attributes, -1),
+Case([4, 0, "strawberry", 0, 0, 1], attributes, 0),
+Case([2, 0, "potato", 1, 0, 0], attributes, 0),
+Case([4, 0, "strawberry", 0, 0, 0], attributes, 0),
+Case([0, 1, "strawberry", 0, 1, 1], attributes, 0),
+Case([1, 1, "wheat", 1, 1, 0], attributes, 0),
+Case([3, 0, "potato", 0, 1, 0], attributes, 0),
+Case([1, 1, "wheat", 0, 1, 0], attributes, 0),
+Case([1, 1, "sorrel", 0, 0, 1], attributes, 0),
+Case([3, 1, "wheat", 0, 0, 0], attributes, 0),
+Case([3, 1, "wheat", 0, 0, 0], attributes, 0),
+Case([1, 0, "wheat", 0, 1, 1], attributes, 0),
+Case([5, 1, "potato", 1, 0, 1], attributes, 0),
+Case([5, 0, "wheat", 0, 0, 1], attributes, 0),
+Case([2, 1, "sorrel", 0, 1, 0], attributes, 0),
+Case([5, 0, "sorrel", 1, 0, 0], attributes, 0),
+Case([1, 0, "potato", 1, 1, 1], attributes, 0),
+Case([5, 1, "wheat", 1, 1, 0], attributes, 1),
+Case([3, 1, "sorrel", 0, 0, 0], attributes, 0),
+Case([5, 0, "wheat", 0, 0, 1], attributes, 0),
+Case([2, 0, "strawberry", 0, 1, 1], attributes, 0),
+Case([1, 0, "potato", 1, 1, 1], attributes, 0),
+Case([0, 1, "sorrel", 0, 0, 0], attributes, 0),
+Case([5, 1, "potato", 1, 1, 0], attributes, 1),
+Case([2, 0, "wheat", 0, 1, 0], attributes, 0),
+Case([3, 0, "strawberry", 0, 1, 1], attributes, 0),
+Case([3, 0, "potato", 1, 1, 0], attributes, 0),
+Case([1, 1, "potato", 0, 0, 0], attributes, 0),
+Case([2, 1, "potato", 0, 1, 0], attributes, 0),
+Case([2, 1, "wheat", 0, 1, 0], attributes, 0),
+Case([2, 0, "sorrel", 1, 1, 0], attributes, 1),
+Case([3, 0, "strawberry", 0, 1, 1], attributes, 0),
+Case([2, 0, "wheat", 1, 1, 1], attributes, 0),
+Case([5, 0, "wheat", 1, 1, 0], attributes, 1),
+Case([1, 1, "sorrel", 0, 0, 0], attributes, 0),
+Case([0, 1, "potato", 0, 0, 0], attributes, 0),
+Case([5, 1, "strawberry", 1, 1, 1], attributes, 0),
+Case([4, 1, "wheat", 1, 0, 0], attributes, 0),
+Case([5, 1, "sorrel", 0, 0, 1], attributes, 0),
+Case([1, 1, "wheat", 1, 0, 0], attributes, 0),
+Case([5, 0, "strawberry", 1, 0, 1], attributes, 0),
+Case([5, 0, "wheat", 1, 0, 1], attributes, 0),
+Case([2, 0, "potato", 1, 0, 1], attributes, 0),
+Case([3, 1, "wheat", 1, 0, 0], attributes, 0),
+Case([0, 1, "strawberry", 1, 0, 0], attributes, -1),
+Case([0, 1, "strawberry", 0, 1, 1], attributes, 0),
+Case([3, 0, "wheat", 0, 1, 0], attributes, 0),
+Case([4, 1, "potato", 1, 1, 1], attributes, 0),
+Case([3, 0, "potato", 0, 0, 1], attributes, 0),
+Case([2, 1, "strawberry", 1, 1, 0], attributes, 0),
+Case([1, 1, "sorrel", 0, 0, 0], attributes, 0),
+Case([4, 1, "wheat", 1, 0, 1], attributes, 0),
+Case([2, 0, "potato", 0, 1, 0], attributes, 0),
+Case([5, 0, "sorrel", 0, 1, 1], attributes, 0),
+Case([0, 1, "wheat", 1, 1, 0], attributes, -1),
+Case([5, 1, "wheat", 1, 0, 0], attributes, 0),
+Case([2, 0, "potato", 0, 0, 0], attributes, 0),
+Case([2, 0, "strawberry", 0, 1, 1], attributes, 0),
+Case([4, 1, "potato", 0, 1, 1], attributes, 0),
+Case([0, 1, "sorrel", 1, 1, 0], attributes, -1),
+Case([1, 1, "strawberry", 1, 0, 1], attributes, -1),
+Case([3, 0, "sorrel", 1, 1, 0], attributes, 1),
+Case([5, 1, "wheat", 1, 0, 0], attributes, 0),
+Case([4, 0, "sorrel", 1, 1, 0], attributes, 1),
+Case([2, 1, "sorrel", 1, 0, 0], attributes, 0),
+Case([0, 1, "wheat", 0, 1, 0], attributes, 0),
+Case([5, 0, "potato", 1, 1, 0], attributes, 1),
+Case([3, 1, "strawberry", 0, 1, 0], attributes, 0),
+Case([5, 1, "strawberry", 0, 0, 0], attributes, 0),
+Case([4, 1, "potato", 1, 1, 1], attributes, 0),
+Case([5, 1, "potato", 1, 0, 1], attributes, 0),
+Case([5, 1, "potato", 1, 1, 1], attributes, 0),
+Case([0, 0, "sorrel", 0, 0, 0], attributes, 0),
+Case([1, 1, "sorrel", 1, 1, 0], attributes, 1),
+Case([0, 1, "potato", 0, 1, 0], attributes, 0),
+Case([4, 1, "strawberry", 1, 1, 1], attributes, 0),
+Case([0, 0, "wheat", 0, 1, 1], attributes, 0),
+Case([3, 0, "wheat", 1, 1, 0], attributes, 1)]

colors.py

@@ -1,8 +1,12 @@
 BLACK = (0, 0, 0)
 WHITE = (255, 255, 255)
-GREEN = (0, 255, 0)
 RED = (255, 0, 0)
-BROWN = (140, 95, 65)
+BROWN0 = (180, 150, 90)
+BROWN1 = (160, 130, 70)
+BROWN2 = (140, 110, 55)
+BROWN3 = (110, 85, 40)
+BROWN4 = (80, 60, 20)
 DBROWN = (65, 50, 20)
-YELLOW = (255, 255, 0)
-BLUE = (0, 0, 255)
+LBROWN = (108, 97, 62)
+BLUE = (18, 93, 156)
+GREY = (91, 91, 91)

field.py

@@ -3,41 +3,57 @@ from colors import *
 from dimensions import *
 
 class Field(pygame.sprite.Sprite):
-    def __init__(self, row, column):
+    def __init__(self, row, column, field_type):
         super(Field, self).__init__()
         self.surf = pygame.Surface((WIDTH, HEIGHT))
-        self.surf.fill(BROWN)
+        self.field_type = field_type
+        if self.field_type == "soil":
+            self.moveCost = 3
+            self.surf.fill(BROWN0)
+        elif self.field_type == "rocks":
+            self.moveCost = 5
+            self.surf.fill(LBROWN)
+        elif self.field_type == "road":
+            self.moveCost = 1
+            self.surf.fill(GREY)
+        elif self.field_type == "pond":
+            self.moveCost = 1000
+            self.surf.fill(BLUE)
         self.rect = self.surf.get_rect(
             topleft=((MARGIN + WIDTH) * row + MARGIN, (MARGIN + HEIGHT) * column + MARGIN))
         self.position = [row, column]
         self.hydration = 0
-        self.isRocky = False
         self.planted = 0
-        self.ferility = 1
+        self.fertility = 1
+        self.tractor_there = False
 
     def hydrate(self):
-        if self.hydration <= 3:
+        if self.field_type == "soil" and self.hydration <= 5:
             self.hydration += 1
             if self.hydration == 0:
-                self.surf.fill(BROWN)
+                self.surf.fill(BROWN0)
             if self.hydration == 1:
-                self.surf.fill(YELLOW)
+                self.surf.fill(BROWN1)
             if self.hydration == 2:
-                self.surf.fill(GREEN)
+                self.surf.fill(BROWN2)
             if self.hydration == 3:
-                self.surf.fill(BLUE)
+                self.surf.fill(BROWN3)
+            if self.hydration == 4 or self.hydration == 5:
+                self.surf.fill(BROWN4)
     
     def dehydrate(self):
-        if self.hydration > 0:
+        if self.field_type == "soil" and self.hydration > 0:
             self.hydration -= 1
             if self.hydration == 0:
-                self.surf.fill(BROWN)
+                self.surf.fill(BROWN0)
             if self.hydration == 1:
-                self.surf.fill(YELLOW)
+                self.surf.fill(BROWN1)
             if self.hydration == 2:
-                self.surf.fill(GREEN)
+                self.surf.fill(BROWN2)
             if self.hydration == 3:
-                self.surf.fill(BLUE)
+                self.surf.fill(BROWN3)
+            if self.hydration == 4 or self.hydration == 5:
+                self.surf.fill(BROWN4)
     
     def free(self):
         self.planted = 0

grader.py

@@ -0,0 +1,65 @@
+import torch
+import torchvision
+import torchvision.transforms as transforms
+import torch.nn as nn
+import torch.nn.functional as f
+import torch.optim as optim
+import numpy as np
+from matplotlib.pyplot import imshow
+import os
+import PIL
+import numpy as np
+import neural_network
+from matplotlib.pyplot import imshow
+
+# Create the model
+model = neural_network.Net()
+
+# Load state_dict
+neural_network.load_network_from_structure(model)
+
+# Create the preprocessing transformation here
+transform = transforms.Compose([neural_network.Negative(), transforms.ToTensor()])
+
+# load your image(s)
+img = PIL.Image.open('test\\0_100.jpg')
+img2 = PIL.Image.open('test\\1_100.jpg')
+img3 = PIL.Image.open('test\\4_100.jpg')
+img4 = PIL.Image.open('test\\5_100.jpg')
+
+# Transform
+input = transform(img)
+input2 = transform(img2)
+input3 = transform(img3)
+input4 = transform(img4)
+
+# unsqueeze batch dimension, in case you are dealing with a single image
+input = input.unsqueeze(0)
+input2 = input2.unsqueeze(0)
+input3 = input3.unsqueeze(0)
+input4 = input4.unsqueeze(0)
+
+# Set model to eval
+model.eval()
+
+# Get prediction
+output = model(input)
+output2 = model(input2)
+output3 = model(input3)
+output4 = model(input4)
+
+print(output)
+index = output.cpu().data.numpy().argmax()
+print(index)
+
+print(output2)
+index = output2.cpu().data.numpy().argmax()
+print(index)
+
+print(output3)
+index = output3.cpu().data.numpy().argmax()
+print(index)
+
+print(output4)
+index = output4.cpu().data.numpy().argmax()
+print(index)

id3.py

@@ -0,0 +1,122 @@
+from cases import *
+from collections import Counter
+import operator
+from types import prepare_class
+import numpy as np
+import copy
+
+class Node:
+    def __init__(self, Class, tag=None):
+        self.Class = Class
+        self.childs = []
+
+def classes_of_cases (cases):
+    classes = []
+    for case in cases:
+        if case.Class not in classes:
+            classes.append(case.Class)
+    return classes
+
+def count_classes (cases):
+    classes = []
+    for case in cases:
+        classes.append(case.Class)
+    c = Counter(classes)
+    return max(c.items(), key=operator.itemgetter(1))[0]
+
+def chose_attribute (cases, attributes):
+    a = ""
+    max = float("-inf")
+    for attribute in attributes:
+        if I(cases) - E(cases, attribute) >= max:
+            max = I(cases) - E(cases, attribute)
+            a = attribute
+    return a
+
+def I (cases):
+    i = 0
+    all = len(cases)
+    classes = classes_of_cases(cases)
+    for Class in classes:
+        noc = 0
+        for case in cases:
+            if case.Class == Class:
+                noc += 1
+        i -= (noc/all)*np.log2(noc/all)
+    return i
+
+def E(cases, attribute):
+    e = 0
+    values = []
+    index = cases[0].attributes.index(attribute)
+    for case in cases:
+        if case.values[index] not in values:
+            values.append(case.values[index])
+    for value in values:
+        ei = []
+        for case in cases:
+            if case.values[index] == value:
+                ei.append(case)
+        e += (len(ei)/len(cases))*I(ei)
+    return e
+        
+
+def treelearn(cases, attributes, default_class):
+    if cases == []:
+        t = Node(default_class)
+        return t
+    if len(classes_of_cases(cases)) == 1:
+        t = Node(cases[0].Class)
+        return t
+    if attributes == []:
+        t = Node(count_classes(cases))
+        return t
+    A = chose_attribute(cases, attributes)
+    t = Node(A)
+    new_default_class = count_classes(cases)
+
+    values = []
+    index = attributes.index(A)
+    for case in cases:
+        if case.values[index] not in values:
+            values.append(case.values[index])
+
+    for value in values:
+        new_cases = []
+        for case in cases:
+            if case.values[index] == value:
+                new_case = copy.deepcopy(case)
+                new_case.values = case.values[:index] + case.values[index+1:]
+                new_case.attributes = case.attributes[:index] + case.attributes[index+1:]
+                new_cases.append(new_case)
+        new_attributes = attributes[:index] + attributes[index+1 :]
+        child = treelearn(new_cases, new_attributes, new_default_class)
+        t.childs.append([child, value])
+
+    return t
+
+def pretty_print(root, n):
+    if len(root.childs) == 0:
+        for _ in range(n):
+            print("    ", end="")
+        print("return " + str(root.Class))
+    for child in root.childs:
+        for _ in range(n):
+            print("    ", end="")
+        if child != root.childs[0]:
+            print("el", end= "")
+        if len(str(child[1])) > 1:
+            print("if self." + str(root.Class) + " == \"" + str(child[1]) + "\":")
+        else:
+            print("if self." + str(root.Class) + " == " + str(child[1]) + ":")
+        pretty_print(child[0], n+1)
+
+
+tree = treelearn(cases, attributes, 0)
+pretty_print(tree, 0)
+
+
+    
+
+    
+    

mapschema.py

@@ -0,0 +1,27 @@
+def createField():
+    field = [["soil", "soil", "soil", "soil", "soil", "soil", "rocks", "soil", "soil", "soil"],
+    ["soil", "soil", "soil", "soil", "soil", "soil", "rocks", "soil", "soil", "soil"],
+    ["soil", "soil", "soil", "soil", "soil", "road", "road", "road", "road", "road"],
+    ["rocks", "rocks", "rocks", "rocks", "soil", "road", "soil", "soil", "rocks", "soil"],
+    ["soil", "soil", "soil", "soil", "soil", "road", "rocks", "rocks", "soil", "soil"],
+    ["soil", "soil", "soil", "pond", "rocks", "road", "rocks", "soil", "soil", "rocks"],
+    ["rocks", "pond", "pond", "pond", "pond", "road", "rocks", "soil", "soil", "rocks"],
+    ["road", "road", "road", "road", "road", "road", "rocks", "soil", "soil", "soil"],
+    ["soil", "soil", "soil", "soil", "soil", "soil", "rocks", "soil", "rocks", "rocks"],
+    ["soil", "soil", "soil", "soil", "soil", "rocks", "soil", "rocks", "rocks", "soil"]
+    ]
+    return field
+
+def createPlants():
+    field = [["wheat", "wheat", "wheat", "wheat", "wheat", "wheat", 0, "strawberry", "strawberry", "strawberry"],
+    ["wheat", "wheat", "wheat", "wheat", "wheat", "wheat", 0, "strawberry", "strawberry", "strawberry"],
+    ["wheat", "wheat", "wheat", "wheat", 0, 0, 0, 0, 0, 0],
+    [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
+    ["wheat", "wheat", "wheat", "wheat", 0, 0, 0, 0, 0, 0],
+    ["wheat", "wheat", "wheat", 0, 0, 0, 0, "potato", "potato", 0],
+    [0, 0, 0, 0, 0, 0, 0, "potato", "potato", 0],
+    [0, 0, 0, 0, 0, 0, 0, "potato", "potato", "potato"],
+    ["strawberry", "strawberry", "strawberry", "strawberry", "strawberry", 0, 0, "potato", 0, 0],
+    ["strawberry", "strawberry", "strawberry", "strawberry", "strawberry", 0, 0, 0, 0, 0]
+    ]
+    return field

neural_network.py

@@ -0,0 +1,103 @@
+import torch
+import torchvision
+import torchvision.transforms as transforms
+import torch.nn as nn
+import torch.nn.functional as f
+import torch.optim as optim
+import numpy as np
+from matplotlib.pyplot import imshow
+import os
+import PIL
+import numpy as np
+from matplotlib.pyplot import imshow
+
+def to_negative(img):
+    img = PIL.ImageOps.invert(img)
+    return img
+
+class Negative(object):
+    def __init__(self):
+        pass
+    
+    def __call__(self, img):
+        return to_negative(img)
+
+def plotdigit(image):
+    img = np.reshape(image, (-1, 100))
+    imshow(img, cmap='Greys')
+
+transform = transforms.Compose([Negative(), transforms.ToTensor()])
+train_set = torchvision.datasets.ImageFolder(root='train', transform=transform)
+classes = ("apple", "potato")
+
+BATCH_SIZE = 2
+train_loader = torch.utils.data.DataLoader(train_set, batch_size=BATCH_SIZE, shuffle=True, num_workers=0)
+
+device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
+
+class Net(nn.Module):
+    def __init__(self):
+        super(Net, self).__init__()
+        self.flatten = nn.Flatten()
+        self.linear_relu_stack = nn.Sequential(
+            nn.Linear(3*100*100, 512),
+            nn.ReLU(),
+            nn.Linear(512, 512),
+            nn.ReLU(),
+            nn.Linear(512, 2),
+            nn.ReLU()
+        )
+        self.linear_relu_stack = self.linear_relu_stack.to(device)
+
+    def forward(self, x):
+        x = self.flatten(x).to(device)
+        logits = self.linear_relu_stack(x).to(device)
+        return logits
+ 
+def training_network():
+    net = Net()
+    net = net.to(device)
+ 
+    criterion = nn.CrossEntropyLoss()
+    optimizer = optim.SGD(net.parameters(), lr=0.001, momentum=0.9)
+ 
+    for epoch in range(4):
+        running_loss = 0.0
+        for i, data in enumerate(train_loader, 0):
+            inputs, labels = data[0].to(device), data[1].to(device)
+            optimizer.zero_grad()
+            outputs = net(inputs.to(device))
+            loss = criterion(outputs, labels)
+            loss.backward()
+            optimizer.step()
+ 
+            running_loss += loss.item()
+            if i % 2000 == 1999:
+                print('[%d, %5d] loss: %.3f' % (epoch + 1, i + 1, running_loss))
+                running_loss = 0.0
+ 
+    print("Finished training")
+    save_network_to_file(net)
+ 
+ 
+def result_from_network(net, loaded_image):
+    image = PIL.Image.open(loaded_image)
+    pil_to_tensor = transforms.ToTensor()(image.convert("RGB")).unsqueeze_(0)
+    outputs = net(pil_to_tensor.to(device))
+ 
+    return classes[torch.max(outputs, 1)[1]]
+ 
+ 
+def save_network_to_file(network):
+    torch.save(network.state_dict(), 'network_model.pth')
+    print("Network saved to file")
+ 
+ 
+def load_network_from_structure(network):
+    network.load_state_dict(torch.load('network_model.pth'))
+ 
+ 
+if __name__ == "__main__":
+    print(torch.cuda.is_available())
+    training_network()
+    

node.py

@@ -0,0 +1,169 @@
+from dimensions import *
+import heapq
+
+
+def getTotalCost(x):
+    return x.totalCost
+
+def showPath(node, goal):
+    path = node.findPath(goal)
+    for x in path:
+        print(x.position, end=" ")
+        print(x.rotation, end=" ")
+        print(x.action)
+    print("***")
+    
+
+def succesor (node):
+    succesors = []
+    if node.position[0]+node.rotation[0] in range(0,GSIZE) and node.position[1]+node.rotation[1] in range(0,GSIZE):
+        child = Node(node.field, [node.position[0]+node.rotation[0], node.position[1]+node.rotation[1]], node.rotation)
+        child.action = "move"
+        succesors.append(child)
+    if node.rotation == [1,0]:
+        child = Node(node.field, node.position, [0,-1])
+        child.action = "left"
+        succesors.append(child)
+        child = Node(node.field, node.position, [0,1])
+        child.action = "right"
+        succesors.append(child)
+    if node.rotation == [0,1]:
+        child = Node(node.field, node.position, [-1, 0])
+        succesors.append(child)
+        child.action = "right"
+        child = Node(node.field, node.position, [1, 0])
+        child.action = "left"
+        succesors.append(child)
+    if node.rotation == [-1,0]:
+        child = Node(node.field, node.position, [0,-1])
+        succesors.append(child)
+        child.action = "right"
+        child = Node(node.field, node.position, [0,1])
+        child.action = "left"
+        succesors.append(child)
+    if node.rotation == [0,-1]:
+        child = Node(node.field, node.position, [-1, 0])
+        child.action = "left"
+        succesors.append(child)
+        child = Node(node.field, node.position, [1, 0])
+        child.action = "right"
+        succesors.append(child)
+    return succesors
+
+class Node():
+    def __init__(self, field, position, rotation):
+        self.parent = 0
+        self.startCost = 0
+        self.heuristic = 0
+        self.totalCost = 0
+        self.position = position
+        self.rotation = rotation
+        self.action = 0
+        self.field = field
+
+    def __lt__(self, other):
+        return self.totalCost < other.totalCost
+
+    def findPath(self, goal):
+        startNode = Node(self.field, self.position, self.rotation)
+        goalNode = goal
+
+        openList = []
+        closedList = []
+
+        startNode.parent = None
+
+        openList.append(startNode)
+
+        while len(openList) > 0:
+            openList.sort(key=getTotalCost)
+
+            currentNode = openList.pop(0)
+            closedList.append(currentNode)
+
+            if currentNode.position == goalNode:
+                path = []
+                current = currentNode
+                while current is not None:
+                    path.append(current)
+                    current = current.parent
+                return path[::-1]
+            
+            children = succesor(currentNode)
+
+            perm = 0
+            for child in children:
+                for closedChild in closedList:
+                    if child.position == closedChild.position and child.rotation == closedChild.rotation and child.action == closedChild.action:
+                        perm = 1
+                        break
+                if perm == 1:
+                    perm = 0
+                    continue
+                child.parent = currentNode
+                child.startCost = currentNode.startCost + child.field[child.position[0]][child.position[1]].moveCost
+                child.heuristic = abs(goal[0]-child.position[0]) + abs(goal[1]-child.position[1])
+                child.totalCost = child.startCost+child.heuristic
+
+                for openNode in openList:
+                    if child.position == openNode.position and child.rotation == openNode.rotation and child.action == openNode.action and child.startCost > openNode.startCost:
+                        perm = 1
+                        break
+
+                if perm == 1:
+                    perm = 0
+                    continue
+
+                openList.append(child)
+
+    def findPathToPlant(self):
+        startNode = Node(self.field, self.position, self.rotation)
+
+        openList = []
+        closedList = []
+
+        startNode.parent = None
+
+        heapq.heappush(openList, startNode)
+
+        while len(openList) > 0:
+            currentNode = heapq.heappop(openList)
+
+            closedList.append(currentNode)
+
+            if currentNode.field[currentNode.position[0]][currentNode.position[1]].planted and currentNode.field[currentNode.position[0]][currentNode.position[1]].hydration < 2:
+                path = []
+                for _ in range(currentNode.field[currentNode.position[0]][currentNode.position[1]].hydration, 4):
+                    path.append("hydrate")
+                current = currentNode
+                while current is not None:
+                    path.append(current.action)
+                    current = current.parent
+                return path[::-1]
+            
+            children = succesor(currentNode)
+
+            perm = 0
+            for child in children:
+                for closedChild in closedList:
+                    if child.position == closedChild.position and child.rotation == closedChild.rotation and child.action == closedChild.action:
+                        perm = 1
+                        break
+                if perm == 1:
+                    perm = 0
+                    continue
+                child.parent = currentNode
+                child.startCost = currentNode.startCost + child.field[child.position[0]][child.position[1]].moveCost
+                child.heuristic = abs(startNode.position[0]-child.position[0]) + abs(startNode.position[1]-child.position[1])
+                child.totalCost = child.startCost+child.heuristic
+
+                for openNode in openList:
+                    if child.position == openNode.position and child.rotation == openNode.rotation and child.action == openNode.action and child.startCost >= openNode.startCost:
+                        perm = 1
+                        break
+
+                if perm == 1:
+                    perm = 0
+                    continue
+
+                heapq.heappush(openList, child)      

plant.py

@@ -6,39 +6,150 @@ from sprites import *
 class Plant(pygame.sprite.Sprite):
     def __init__(self, field, species):
         super(Plant, self).__init__()
-        self.surf = plant_img_0
+        self.species = species
+        if self.species == "wheat":
+            self.growth_speed = 1.5
+            self.humidity_needed = 2
+            self.img0 = wheat_img_0
+            self.img1 = wheat_img_1
+            self.img2 = wheat_img_2
+            self.img3 = wheat_img_3
+        elif self.species == "potato":
+            self.growth_speed = 1
+            self.humidity_needed = 1
+            self.img0 = potato_img_0
+            self.img1 = potato_img_1
+            self.img2 = potato_img_2
+            self.img3 = potato_img_3
+        elif self.species == "strawberry":
+            self.growth_speed = 0.8
+            self.humidity_needed = 1
+            self.img0 = strawberry_img_0
+            self.img1 = strawberry_img_1
+            self.img2 = strawberry_img_2
+            self.img3 = strawberry_img_3
+        self.surf = self.img0
         self.position = field.position
         self.field = field
         self.rect = self.surf.get_rect(
             topleft=((MARGIN + WIDTH) * self.position[0] + MARGIN, (MARGIN + HEIGHT) * self.position[1] + MARGIN))
         self.growth = 0
-        self.isHealthy = True
-        self.species = species
-        if self.species == "beetroot":
-            self.growth_speed = 1.5
-            self.humidity_needed = 2
-        elif self.species == "wheat":
-            self.growth_speed = 1
-            self.humidity_needed = 1
-        elif self.species == "cotton":
-            self.growth_speed = 0.8
-            self.humidity_needed = 1
+        self.is_healthy = True
+        field.planted = True
+        self.tickscount = 0
+        self.ticks = 0
 
+    def dtree(self):
+        if self.field.hydration == 4:
+            if self.is_healthy == 1:
+                if self.field.tractor_there == 0:
+                    if self.ticks == 0:
+                        return 0
+                    elif self.ticks == 1:
+                        return 1
+                elif self.field.tractor_there == 1:
+                    return 0
+            elif self.is_healthy == 0:
+                return 0
+        elif self.field.hydration == 2:
+            if self.species == "sorrel":
+                if self.ticks == 1:
+                    if self.is_healthy == 1:
+                        return 1
+                    elif self.is_healthy == 0:
+                        return 0
+                elif self.ticks == 0:
+                    return 0
+            elif self.species == "potato":
+                return 0
+            elif self.species == "wheat":
+                return 0
+            elif self.species == "strawberry":
+                return 0
+        elif self.field.hydration == 1:
+            if self.species == "potato":
+                return 0
+            elif self.species == "strawberry":
+                if self.ticks == 1:
+                    return -1
+                elif self.ticks == 0:
+                    return 0
+            elif self.species == "wheat":
+                return 0
+            elif self.species == "sorrel":
+                if self.is_healthy == 0:
+                    return 0
+                elif self.is_healthy == 1:
+                    if self.field.tractor_there == 0:
+                        if self.ticks == 0:
+                            return 0
+                        elif self.ticks == 1:
+                            return 1
+                    elif self.field.tractor_there == 1:
+                        return 0
+        elif self.field.hydration == 3:
+            if self.ticks == 1:
+                if self.field.tractor_there == 0:
+                    if self.is_healthy == 1:
+                        if self.species == "potato":
+                            if self.field.fertility == 1:
+                                return 1
+                            elif self.field.fertility == 0:
+                                return 0
+                        elif self.species == "strawberry":
+                            return 1
+                        elif self.species == "sorrel":
+                            return 1
+                        elif self.species == "wheat":
+                            return 1
+                    elif self.is_healthy == 0:
+                        return 0
+                elif self.field.tractor_there == 1:
+                    return 0
+            elif self.ticks == 0:
+                return 0
+        elif self.field.hydration == 5:
+            if self.field.tractor_there == 1:
+                return 0
+            elif self.field.tractor_there == 0:
+                if self.is_healthy == 0:
+                    return 0
+                elif self.is_healthy == 1:
+                    if self.ticks == 1:
+                        return 1
+                    elif self.ticks == 0:
+                        return 0
+        elif self.field.hydration == 0:
+            if self.ticks == 0:
+                return 0
+            elif self.ticks == 1:
+                return -1
+
+    def update(self):
+        if self.growth == 0:
+            self.surf = self.img0
+        if self.growth == 1:
+            self.surf = self.img1
+        if self.growth == 2:
+            self.surf = self.img2
+        if self.growth == 3:
+            self.surf = self.img3
 
     def grow(self):
-        if self.field.hydration >= self.humidity_needed:
-            self.growth += self.growth_speed
-        if self.field.hydration == 0:
-            self.growth -= self.growth_speed
+        if self.dtree() == 1:
+            self.growth += 1
+            self.ticks = 0
+        elif self.dtree() == -1:
+            self.growth -= 1
+            self.ticks = 0
         if self.growth > 4:
             self.growth = 4
         if self.growth < 0:
             self.growth = 0
-        if self.growth == 0:
-            self.surf = plant_img_0
-        elif self.growth == 1:
-            self.surf = plant_img_1
-        elif self.growth == 2:
-            self.surf = plant_img_2
-        elif self.growth == 3:
-            self.surf = plant_img_3
+        self.update()
+
+    def tick(self):
+        self.tickscount += 1
+        if self.tickscount >= 25:
+            self.tickscount = 0
+            self.ticks = 1

sprites.py

@@ -1,11 +1,22 @@
-import pygame
-import random
 import os
+import pygame
 
 # set up asset folders
 project_folder = os.path.dirname(__file__)
 sprites_folder = os.path.join(project_folder, 'sprites')
-plant_img_0 = pygame.image.load(os.path.join(sprites_folder, 'plant0.png'))
-plant_img_1 = pygame.image.load(os.path.join(sprites_folder, 'plant1.png'))
-plant_img_2 = pygame.image.load(os.path.join(sprites_folder, 'plant2.png'))
-plant_img_3 = pygame.image.load(os.path.join(sprites_folder, 'plant3.png'))
+wheat_img_0 = pygame.image.load(os.path.join(sprites_folder, 'wheat0.png'))
+wheat_img_1 = pygame.image.load(os.path.join(sprites_folder, 'wheat1.png'))
+wheat_img_2 = pygame.image.load(os.path.join(sprites_folder, 'wheat2.png'))
+wheat_img_3 = pygame.image.load(os.path.join(sprites_folder, 'wheat3.png'))
+tractor_img_0 = pygame.image.load(os.path.join(sprites_folder, 'tractor0.png'))
+tractor_img_1 = pygame.image.load(os.path.join(sprites_folder, 'tractor1.png'))
+tractor_img_2 = pygame.image.load(os.path.join(sprites_folder, 'tractor2.png'))
+tractor_img_3 = pygame.image.load(os.path.join(sprites_folder, 'tractor3.png'))
+potato_img_0 = pygame.image.load(os.path.join(sprites_folder, 'potato0.png'))
+potato_img_1 = pygame.image.load(os.path.join(sprites_folder, 'potato1.png'))
+potato_img_2 = pygame.image.load(os.path.join(sprites_folder, 'potato2.png'))
+potato_img_3 = pygame.image.load(os.path.join(sprites_folder, 'potato3.png'))
+strawberry_img_0 = pygame.image.load(os.path.join(sprites_folder, 'strawberry0.png'))
+strawberry_img_1 = pygame.image.load(os.path.join(sprites_folder, 'strawberry1.png'))
+strawberry_img_2 = pygame.image.load(os.path.join(sprites_folder, 'strawberry2.png'))
+strawberry_img_3 = pygame.image.load(os.path.join(sprites_folder, 'strawberry3.png'))

tractor.py

@@ -14,47 +14,82 @@ from pygame.locals import (
 
 from dimensions import *
 from colors import *
+from sprites import *
 
 class Tractor(pygame.sprite.Sprite):
-    def __init__(self, field):
+    def __init__(self, field, position):
         super(Tractor, self).__init__()
         self.surf = pygame.Surface((WIDTH, HEIGHT))
-        self.surf.fill(RED)
-        self.position = field.position
+        self.surf = tractor_img_0
+        self.position = position
+        self.field = field
         self.rect = self.surf.get_rect(
             topleft=((MARGIN + WIDTH) * self.position[0] + MARGIN, (MARGIN + HEIGHT) * self.position[1] + MARGIN))
-        self.field = field
+        self.direction = [1, 0]
+        self.field[self.position[0]][self.position[1]].tractor_there = True
+        
+    def move(self):
+        self.field[self.position[0]][self.position[1]].tractor_there = False
+        self.rect.move_ip(self.direction[0]*(WIDTH + MARGIN), self.direction[1]*(HEIGHT + MARGIN))
+        self.position[0] += self.direction[0]
+        self.position[1] += self.direction[1]
+        if self.position[0] >= GSIZE:
+            self.position[0] = GSIZE-1
+        if self.position[1] >= GSIZE:
+            self.position[1] = GSIZE-1
+        if self.position[0] < 0:
+            self.position[0] = 0
+        if self.position[1] < 0:
+            self.position[1] = 0
 
-    def update(self, pressed_keys):
-        if pressed_keys[K_UP]:
-            self.rect.move_ip(0, -(HEIGHT + MARGIN))
-            self.position[1] -= 1
         if self.rect.top <= MARGIN:
                 self.rect.top = MARGIN
-                self.position[1] = 0
-        if pressed_keys[K_DOWN]:
-            self.rect.move_ip(0, HEIGHT + MARGIN)
-            self.position[1] += 1
         if self.rect.bottom >= SCREEN_HEIGHT-MARGIN:
                 self.rect.bottom = SCREEN_HEIGHT-MARGIN
-                self.position[1] = GSIZE-1
-        if pressed_keys[K_LEFT]:
-            self.rect.move_ip(-(WIDTH + MARGIN), 0)
-            self.position[0] -= 1
         if self.rect.left < MARGIN:
                 self.rect.left = MARGIN
-                self.position[0] = 0
-        if pressed_keys[K_RIGHT]:
-            self.rect.move_ip(WIDTH + MARGIN, 0)
-            self.position[0] += 1
         if self.rect.right > SCREEN_WIDTH-MARGIN:
                 self.rect.right = SCREEN_WIDTH-MARGIN
-                self.position[0] = GSIZE-1
         
-    def hydrate(self, field, pressed_keys):
-        if pressed_keys[K_SPACE]:
+        self.field[self.position[0]][self.position[1]].tractor_there = True
+
+    
+    def rotate_right(self):
+        if self.direction == [1, 0]:
+            self.direction = [0, 1]
+            self.surf = tractor_img_2
+        elif self.direction == [0, 1]:
+            self.direction = [-1, 0]
+            self.surf = tractor_img_1
+        elif self.direction == [-1, 0]:
+            self.direction = [0, -1]
+            self.surf = tractor_img_3
+        elif self.direction == [0, -1]:
+            self.direction = [1, 0]
+            self.surf = tractor_img_0
+
+    def rotate_left(self):
+        if self.direction == [1, 0]:
+            self.direction = [0, -1]
+            self.surf = tractor_img_3
+        elif self.direction == [0, -1]:
+            self.direction = [-1, 0]
+            self.surf = tractor_img_1
+        elif self.direction == [-1, 0]:
+            self.direction = [0, 1]
+            self.surf = tractor_img_2
+        elif self.direction == [0, 1]:
+            self.direction = [1, 0]
+            self.surf = tractor_img_0
+
+    def hydrate(self, field):
         field[self.position[0]][self.position[1]].hydrate()
 
     def cut(self, field, pressed_keys):
         if pressed_keys[K_c]:
             field[self.position[0]][self.position[1]].free()
+
+    def plant(self, field, plant, pressed_keys):
+        if field.planted == 0:
+            field.planted = plant
+            plant.field = field