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"""
Credits: some parts are taken and modified from the file `config.py` from https://github.com/TeaPearce/Counter-Strike_Behavioural_Cloning/
"""
from dataclasses import dataclass
from typing import Dict, List, Set, Tuple
import numpy as np
import pygame
import torch
from .keymap import CSGO_FORBIDDEN_COMBINATIONS, CSGO_KEYMAP
@dataclass
class CSGOAction:
keys: List[int]
mouse_x: float
mouse_y: float
l_click: bool
r_click: bool
def __post_init__(self) -> None:
self.keys = filter_keys_pressed_forbidden(self.keys)
self.process_mouse()
@property
def key_names(self) -> List[str]:
return [pygame.key.name(key) for key in self.keys]
def process_mouse(self) -> None:
# Clip and match mouse to closest in list of possibles
x = np.clip(self.mouse_x, MOUSE_X_LIM[0], MOUSE_X_LIM[1])
y = np.clip(self.mouse_y, MOUSE_Y_LIM[0], MOUSE_Y_LIM[1])
self.mouse_x = min(MOUSE_X_POSSIBLES, key=lambda x_: abs(x_ - x))
self.mouse_y = min(MOUSE_Y_POSSIBLES, key=lambda x_: abs(x_ - y))
# Use arrows to override mouse movements
for key in self.key_names:
if key == "left":
self.mouse_x = -60
elif key == "right":
self.mouse_x = +60
elif key == "up":
self.mouse_y = -50
elif key == "down":
self.mouse_y = +50
def print_csgo_action(action: CSGOAction) -> Tuple[str]:
action_names = [CSGO_KEYMAP[k] for k in action.keys] if len(action.keys) > 0 else []
action_names = [x for x in action_names if not x.startswith("camera_")]
keys = " + ".join(action_names)
mouse = str((action.mouse_x, action.mouse_y)) * (action.mouse_x != 0 or action.mouse_y != 0)
clicks = "L" * action.l_click + " + " * (action.l_click and action.r_click) + "R" * action.r_click
return keys, mouse, clicks
MOUSE_X_POSSIBLES = [
-1000,
-500,
-300,
-200,
-100,
-60,
-30,
-20,
-10,
-4,
-2,
0,
2,
4,
10,
20,
30,
60,
100,
200,
300,
500,
1000,
]
MOUSE_Y_POSSIBLES = [
-200,
-100,
-50,
-20,
-10,
-4,
-2,
0,
2,
4,
10,
20,
50,
100,
200,
]
MOUSE_X_LIM = (MOUSE_X_POSSIBLES[0], MOUSE_X_POSSIBLES[-1])
MOUSE_Y_LIM = (MOUSE_Y_POSSIBLES[0], MOUSE_Y_POSSIBLES[-1])
N_KEYS = 11 # number of keyboard outputs, w,s,a,d,space,ctrl,shift,1,2,3,r
N_CLICKS = 2 # number of mouse buttons, left, right
N_MOUSE_X = len(MOUSE_X_POSSIBLES) # number of outputs on mouse x axis
N_MOUSE_Y = len(MOUSE_Y_POSSIBLES) # number of outputs on mouse y axis
def encode_csgo_action(csgo_action: CSGOAction, device: torch.device) -> torch.Tensor:
# mouse_x = csgo_action.mouse_x
# mouse_y = csgo_action.mouse_y
keys_pressed_onehot = np.zeros(N_KEYS)
mouse_x_onehot = np.zeros(N_MOUSE_X)
mouse_y_onehot = np.zeros(N_MOUSE_Y)
l_click_onehot = np.zeros(1)
r_click_onehot = np.zeros(1)
for key in csgo_action.key_names:
if key == "w":
keys_pressed_onehot[0] = 1
elif key == "a":
keys_pressed_onehot[1] = 1
elif key == "s":
keys_pressed_onehot[2] = 1
elif key == "d":
keys_pressed_onehot[3] = 1
elif key == "space":
keys_pressed_onehot[4] = 1
elif key == "left ctrl":
keys_pressed_onehot[5] = 1
elif key == "left shift":
keys_pressed_onehot[6] = 1
elif key == "1":
keys_pressed_onehot[7] = 1
elif key == "2":
keys_pressed_onehot[8] = 1
elif key == "3":
keys_pressed_onehot[9] = 1
elif key == "r":
keys_pressed_onehot[10] = 1
l_click_onehot[0] = int(csgo_action.l_click)
r_click_onehot[0] = int(csgo_action.r_click)
mouse_x_onehot[MOUSE_X_POSSIBLES.index(csgo_action.mouse_x)] = 1
mouse_y_onehot[MOUSE_Y_POSSIBLES.index(csgo_action.mouse_y)] = 1
assert mouse_x_onehot.sum() == 1
assert mouse_y_onehot.sum() == 1
return torch.tensor(
np.concatenate((
keys_pressed_onehot,
l_click_onehot,
r_click_onehot,
mouse_x_onehot,
mouse_y_onehot,
)),
device=device,
dtype=torch.float32,
)
def decode_csgo_action(y_preds: torch.Tensor) -> CSGOAction:
y_preds = y_preds.squeeze()
keys_pred = y_preds[0:N_KEYS]
l_click_pred = y_preds[N_KEYS : N_KEYS + 1]
r_click_pred = y_preds[N_KEYS + 1 : N_KEYS + N_CLICKS]
mouse_x_pred = y_preds[N_KEYS + N_CLICKS : N_KEYS + N_CLICKS + N_MOUSE_X]
mouse_y_pred = y_preds[
N_KEYS + N_CLICKS + N_MOUSE_X : N_KEYS + N_CLICKS + N_MOUSE_X + N_MOUSE_Y
]
keys_pressed = []
keys_pressed_onehot = np.round(keys_pred)
if keys_pressed_onehot[0] == 1:
keys_pressed.append("w")
if keys_pressed_onehot[1] == 1:
keys_pressed.append("a")
if keys_pressed_onehot[2] == 1:
keys_pressed.append("s")
if keys_pressed_onehot[3] == 1:
keys_pressed.append("d")
if keys_pressed_onehot[4] == 1:
keys_pressed.append("space")
if keys_pressed_onehot[5] == 1:
keys_pressed.append("left ctrl")
if keys_pressed_onehot[6] == 1:
keys_pressed.append("left shift")
if keys_pressed_onehot[7] == 1:
keys_pressed.append("1")
if keys_pressed_onehot[8] == 1:
keys_pressed.append("2")
if keys_pressed_onehot[9] == 1:
keys_pressed.append("3")
if keys_pressed_onehot[10] == 1:
keys_pressed.append("r")
l_click = int(np.round(l_click_pred))
r_click = int(np.round(r_click_pred))
id = np.argmax(mouse_x_pred)
mouse_x = MOUSE_X_POSSIBLES[id]
id = np.argmax(mouse_y_pred)
mouse_y = MOUSE_Y_POSSIBLES[id]
keys_pressed = [pygame.key.key_code(x) for x in keys_pressed]
return CSGOAction(keys_pressed, mouse_x, mouse_y, bool(l_click), bool(r_click))
def filter_keys_pressed_forbidden(keys_pressed: List[int], keymap: Dict[int, str] = CSGO_KEYMAP, forbidden_combinations: List[Set[str]] = CSGO_FORBIDDEN_COMBINATIONS) -> List[int]:
keys = set()
names = set()
for key in keys_pressed:
if key not in keymap:
continue
name = keymap[key]
keys.add(key)
names.add(name)
for forbidden in forbidden_combinations:
if forbidden.issubset(names):
keys.remove(key)
names.remove(name)
break
return list(filter(lambda key: key in keys, keys_pressed))
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