def feature_RES_tensor_map(csv_roomrecord_groupby, csv_object, LOS, *map_args):
for (Filename), group in csv_roomrecord_groupby:
print(Filename)
game_state = GameState(Filename, csv_object)
bops, bops_last_pos = game_state.bops, game_state.bops_last_pos
stage_groupby = group.groupby(["StageID"])
states_tensor_red = []
states_tensor_blue = []
bops_odd = []
bops_even = []
soldier_red = [bops["red_soldier1"]["Pos"]]
soldier_blue = [bops["blue_soldier1"]["Pos"]]
for (stageid), group in stage_groupby:
group1 = group.sort_values(by=["TimeID", "ObjStep"],
axis=0,
ascending=[False, False])
game_state.initCancelKeep()
bops["stage"] = stageid
bops["red_win"] = group.iloc[0]["JmResult"]
bops_one_stage = []
for indexs, row in group1.iterrows():
bop_name = game_state.Get_bop_name(row.ObjID)
if row.ObjNewPos == row.ObjPos:
if row.ObjInto != 0:
game_state.UpdateOn(row, bop_name)
if row.ObjOut != 0:
game_state.UpdateOut(row, bop_name)
if row.AttackID != 0:
game_state.Attack(row, bop_name)
if row.CityTake != 0:
game_state.Occupy(row)
if row.ObjHide != 0:
game_state.Hide(row, bop_name)
if row.ObjPass == 1:
game_state.Pass(row, bop_name)
if row.ObjKeepCancel != 0:
game_state.KeepCancel(row, bop_name)
else:
game_state.Move(row, bop_name)
soldier_red.append(bops["red_soldier1"]["Pos"])
soldier_blue.append(bops["blue_soldier1"]["Pos"])
dirs = '../data/test/'
if not os.path.isdir(dirs):
os.makedirs(dirs)
plot_position(soldier_red, soldier_blue, dirs, Filename)
def feature_RES_tensor(csv_roomrecord_groupby, csv_object, LOS):
for (Filename), group in csv_roomrecord_groupby:
print(Filename)
game_state = GameState(Filename, csv_object)
bops, bops_last_pos = game_state.bops, game_state.bops_last_pos
stage_groupby = group.groupby(["StageID"])
states_tensor_red = []
states_tensor_blue = []
bops_odd = []
bops_even = []
for (stageid), group in stage_groupby:
group1 = group.sort_values(by=["TimeID", "ObjStep"],
axis=0,
ascending=[False, False])
game_state.initCancelKeep()
bops["stage"] = stageid
bops["red_win"] = group.iloc[0]["JmResult"]
bops_one_stage = []
for indexs, row in group1.iterrows():
bop_name = game_state.Get_bop_name(row.ObjID)
if row.ObjNewPos == row.ObjPos:
if row.ObjInto != 0:
game_state.UpdateOn(row, bop_name)
if row.ObjOut != 0:
game_state.UpdateOut(row, bop_name)
if row.AttackID != 0:
game_state.Attack(row, bop_name)
if row.CityTake != 0:
game_state.Occupy(row)
if row.ObjHide != 0:
game_state.Hide(row, bop_name)
if row.ObjPass == 1:
game_state.Pass(row, bop_name)
if row.ObjKeepCancel != 0:
game_state.KeepCancel(row, bop_name)
else:
game_state.Move(row, bop_name)
bops_one_stage.append(copy.deepcopy(bops))
if stageid % 2 == 1: # 奇数阶段,采集红方预测蓝方棋子信息
bops_odd = bops_one_stage
flag, tensor_one_stage_red, = StateFeature_two_stage(
bops_odd, bops_even, bops_last_pos, LOS, 1)
if flag:
states_tensor_red.append(tensor_one_stage_red)
else: # 偶数阶段,采集蓝方预测红方棋子信息
bops_even = bops_one_stage
flag, tensor_one_stage_blue, = StateFeature_two_stage(
bops_odd, bops_even, bops_last_pos, LOS, 0)
if flag:
states_tensor_blue.append(tensor_one_stage_blue)
spatial_states_np_red = np.concatenate(states_tensor_red)
spatial_states_np_blue = np.concatenate(states_tensor_blue)
spatial_states_np_red = spatial_states_np_red.reshape(
[spatial_states_np_red.shape[0], -1])
spatial_states_np_blue = spatial_states_np_blue.reshape(
[spatial_states_np_blue.shape[0], -1])
print(spatial_states_np_blue.shape)
print(spatial_states_np_red.shape, "--------")
vs1 = 'red2blue'
vs2 = 'blue2red'
path = os.path.join('../data/feature_data/feature_RES_tensor/')
if not os.path.isdir(path):
os.makedirs(path)
sparse.save_npz(os.path.join(path, Filename + vs1 + '@S'),
sparse.csc_matrix(spatial_states_np_red))
sparse.save_npz(os.path.join(path, Filename + vs2 + '@S'),
sparse.csc_matrix(spatial_states_np_blue))