WMICraft/common/constants.py

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from enum import Enum
import torchvision.transforms as transforms
import torch
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GAME_TITLE = 'WMICraft'
WINDOW_HEIGHT = 800
WINDOW_WIDTH = 1360
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FPS_COUNT = 60
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TURN_INTERVAL = 200
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GRID_CELL_PADDING = 5
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GRID_CELL_SIZE = 36
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ROWS = 19
COLUMNS = 24
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BORDER_WIDTH = 10
BORDER_RADIUS = 5
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KNIGHTS_SPAWN_WIDTH = 4
KNIGHTS_SPAWN_HEIGHT = 7
LEFT_KNIGHTS_SPAWN_FIRST_ROW = 6
LEFT_KNIGHTS_SPAWN_FIRST_COL = 0
RIGHT_KNIGHTS_SPAWN_FIRST_ROW = 6
RIGHT_KNIGHTS_SPAWN_FIRST_COL = 20
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CASTLE_SPAWN_WIDTH = 6
CASTLE_SPAWN_HEIGHT = 5
CASTLE_SPAWN_FIRST_ROW = 7
CASTLE_SPAWN_FIRST_COL = 9
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NBR_OF_WATER = 16
NBR_OF_TREES = 20
NBR_OF_MONSTERS = 2
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NBR_OF_SANDS = 35
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TILES = [
'grass1.png',
'grass2.png',
'grass3.png',
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'grass4.png',
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'sand.png',
'water.png',
'grass_with_tree.jpg',
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]
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class Direction(Enum):
UP = 0
RIGHT = 1
DOWN = 2
LEFT = 3
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def right(self):
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v = (self.value + 1) % 4
return Direction(v)
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def left(self):
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v = (self.value - 1) % 4
return Direction(v)
ACTION = {
"rotate_left": -1,
"rotate_right": 1,
"go": 0,
}
LEFT = 'LEFT'
RIGHT = 'RIGHT'
UP = 'UP'
DOWN = 'DOWN'
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# HEALTH_BAR
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BAR_ANIMATION_SPEED = 1
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BAR_WIDTH_MULTIPLIER = 0.9 # (0;1>
BAR_HEIGHT_MULTIPLIER = 0.1
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#NEURAL_NETWORK
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LEARNING_RATE = 0.000630957344480193
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BATCH_SIZE = 64
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NUM_EPOCHS = 9
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DEVICE = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')
print("Using ", DEVICE)
CLASSES = ['grass', 'sand', 'tree', 'water']
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SETUP_PHOTOS = transforms.Compose([
transforms.ToTensor(),
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transforms.Resize((36, 36)),
transforms.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5])
])
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ID_TO_CLASS = {i: j for i, j in enumerate(CLASSES)}
CLASS_TO_ID = {value: key for key, value in ID_TO_CLASS.items()}