From 9aa9552499b9ee0fd3c3a4833640afbc45f8668e Mon Sep 17 00:00:00 2001 From: XsedoX Date: Fri, 29 Apr 2022 10:21:22 +0200 Subject: [PATCH 1/8] hp_bar pod tarczami liczony na podstawie hp knightow --- logic/game.py | 7 +++---- ui/stats.py | 25 +++++++++++++++++++++---- 2 files changed, 24 insertions(+), 8 deletions(-) diff --git a/logic/game.py b/logic/game.py index 565a4cc..fe8cb28 100644 --- a/logic/game.py +++ b/logic/game.py @@ -26,7 +26,6 @@ class Game: self.bg = pygame.image.load("./resources/textures/bg.jpg") self.screens = {'credits': Credits(self.screen, self.clock), 'options': Options(self.screen, self.clock)} - def main_menu(self): menu = MainMenu(self.screen, self.clock, self.bg, self.game, @@ -37,7 +36,6 @@ class Game: def game(self): logs = Logs(self.screen) level = Level(self.screen, logs) - stats = Stats(self.screen, level.list_knights_blue, level.list_knights_red) # setup clock for rounds NEXT_TURN = pygame.USEREVENT + 1 @@ -45,6 +43,9 @@ class Game: # create level level.create_map() + stats = Stats(self.screen, + level.list_knights_blue, + level.list_knights_red) # has to be called after level.create_map() print_numbers_flag = False running = True @@ -60,8 +61,6 @@ class Game: running = False if event.key == pygame.K_n: print_numbers_flag = not print_numbers_flag - if event.key == pygame.K_r: - stats.red_team_hp_bar.take_dmg(5) if event.type == NEXT_TURN: # is called every 'TURN_INTERVAL' milliseconds level.handle_turn() diff --git a/ui/stats.py b/ui/stats.py index 9fee084..8d12156 100644 --- a/ui/stats.py +++ b/ui/stats.py @@ -15,8 +15,25 @@ class Stats: self.screen = screen self.x = (GRID_CELL_PADDING + GRID_CELL_SIZE) * COLUMNS + BORDER_WIDTH + 15 self.y = 5 - self.blue_team_hp_bar = HealthBar(self.screen, pygame.Rect(self.x + 30, self.y + 210, 100, 15), current_hp=50, max_hp=100) - self.red_team_hp_bar = HealthBar(self.screen, pygame.Rect(self.x + 210, self.y + 210, 100, 15), 100, 100) + self.max_hp = 0 + self.blue_team_current_hp = 0 + self.red_team_current_hp = 0 + + for knight in list_knights_red: + self.max_hp += knight.max_hp + self.red_team_current_hp += knight.current_hp + + for knight in list_knights_blue: + self.blue_team_current_hp += knight.current_hp + + self.blue_team_hp_bar = HealthBar(self.screen, + pygame.Rect(self.x + 30, self.y + 210, 100, 15), + current_hp=self.blue_team_current_hp, + max_hp=self.max_hp) + self.red_team_hp_bar = HealthBar(self.screen, + pygame.Rect(self.x + 210, self.y + 210, 100, 15), + current_hp=self.red_team_current_hp, + max_hp=self.max_hp) def update(self): @@ -40,9 +57,9 @@ class Stats: # texts draw_text('Rycerze: ' + str(len(self.list_knights_blue)), FONT_DARK, self.screen, self.x + 35, self.y + 240, 18) # blue - draw_text('Fortece: ' + str(len(self.list_knights_red)), FONT_DARK, self.screen, self.x + 35, self.y + 270, 18) # red + draw_text('Fortece: 0', FONT_DARK, self.screen, self.x + 35, self.y + 270, 18) # red - draw_text('Rycerze: 4', FONT_DARK, self.screen, self.x + 215, self.y + 240, 18) + draw_text('Rycerze: ' + str(len(self.list_knights_red)), FONT_DARK, self.screen, self.x + 215, self.y + 240, 18) draw_text('Fortece: 0', FONT_DARK, self.screen, self.x + 215, self.y + 270, 18) # points -- 2.20.1 From 3fce0a5b57c923ff4ad21eb258bd4f222b0cda57 Mon Sep 17 00:00:00 2001 From: XsedoX Date: Fri, 13 May 2022 10:37:00 +0200 Subject: [PATCH 2/8] uzycie sprite.Group.update() - gdy umrze sprite, to healthbar nie bedzie renderowany --- logic/level.py | 16 ++-------------- models/castle.py | 3 +++ models/knight.py | 3 +++ models/monster.py | 3 +++ 4 files changed, 11 insertions(+), 14 deletions(-) diff --git a/logic/level.py b/logic/level.py index 00d2044..f8e5ee5 100644 --- a/logic/level.py +++ b/logic/level.py @@ -147,19 +147,6 @@ class Level: self.logs.enqueue_log(f'AI {current_knight.team}: Ruch w lewo.') self.map[knight_pos_y][knight_pos_x - 1] = current_knight.team_alias() - def update_health_bars(self): - for knight in self.list_knights_blue: - knight.health_bar.update() - - for knight in self.list_knights_red: - knight.health_bar.update() - - for monster in self.list_monsters: - monster.health_bar.update() - - for castle in self.list_castles: - castle.health_bar.update() - def update(self): bg_width = (GRID_CELL_PADDING + GRID_CELL_SIZE) * COLUMNS + BORDER_WIDTH bg_height = (GRID_CELL_PADDING + GRID_CELL_SIZE) * ROWS + BORDER_WIDTH @@ -167,4 +154,5 @@ class Level: # update and draw the game self.sprites.draw(self.screen) - self.update_health_bars() # has to be called last + self.sprites.update() + \ No newline at end of file diff --git a/models/castle.py b/models/castle.py index 915b514..6484c63 100644 --- a/models/castle.py +++ b/models/castle.py @@ -18,3 +18,6 @@ class Castle(pygame.sprite.Sprite): self.max_hp = 80 self.current_hp = random.randint(1, self.max_hp) self.health_bar = HealthBar(screen, self.rect, current_hp=self.current_hp, max_hp=self.max_hp, calculate_xy=True, calculate_size=True) + + def update(self): + self.health_bar.update() diff --git a/models/knight.py b/models/knight.py index 93432e1..05eabfc 100644 --- a/models/knight.py +++ b/models/knight.py @@ -43,6 +43,9 @@ class Knight(pygame.sprite.Sprite): self.direction = self.direction.left() self.image = self.states[self.direction.value] + def update(self): + self.health_bar.update() + def rotate_right(self): self.direction = self.direction.right() self.image = self.states[self.direction.value] diff --git a/models/monster.py b/models/monster.py index b8415f1..04d50ec 100644 --- a/models/monster.py +++ b/models/monster.py @@ -41,3 +41,6 @@ class Monster(pygame.sprite.Sprite): self.max_hp = 7 self.attack = 2 self.points = 2 + + def update(self): + self.health_bar.update() -- 2.20.1 From dc411fae42cba04c7283f6085719da1fdcd23538 Mon Sep 17 00:00:00 2001 From: XsedoX Date: Tue, 17 May 2022 22:54:56 +0200 Subject: [PATCH 3/8] neural network sprawny wraz z interfejsem --- algorithms/bfs.py | 4 +- .../neural_network/data/test/grass/grass1.png | Bin 0 -> 814 bytes .../neural_network/data/test/grass/grass2.png | Bin 0 -> 820 bytes .../neural_network/data/test/grass/grass3.png | Bin 0 -> 789 bytes .../neural_network/data/test/grass/grass4.png | Bin 0 -> 1061 bytes .../neural_network/data/test/sand/sand.png | Bin 0 -> 760 bytes .../data/test/tree/grass_with_tree.jpg | Bin 0 -> 2229 bytes .../neural_network/data/test/water/water.png | Bin 0 -> 725 bytes algorithms/neural_network/learnedNetwork.pt | Bin 0 -> 36375 bytes algorithms/neural_network/neural_network.py | 22 +++++ .../neural_network_interface.py | 91 ++++++++++++++++++ .../neural_network/watersandtreegrass.py | 28 ++++++ common/constants.py | 21 ++++ common/helpers.py | 33 ++++++- logic/health_bar.py | 2 +- requirements.txt | Bin 32 -> 72 bytes 16 files changed, 197 insertions(+), 4 deletions(-) create mode 100644 algorithms/neural_network/data/test/grass/grass1.png create mode 100644 algorithms/neural_network/data/test/grass/grass2.png create mode 100644 algorithms/neural_network/data/test/grass/grass3.png create mode 100644 algorithms/neural_network/data/test/grass/grass4.png create mode 100644 algorithms/neural_network/data/test/sand/sand.png create mode 100644 algorithms/neural_network/data/test/tree/grass_with_tree.jpg create mode 100644 algorithms/neural_network/data/test/water/water.png create mode 100644 algorithms/neural_network/learnedNetwork.pt create mode 100644 algorithms/neural_network/neural_network.py create mode 100644 algorithms/neural_network/neural_network_interface.py create mode 100644 algorithms/neural_network/watersandtreegrass.py diff --git a/algorithms/bfs.py b/algorithms/bfs.py index b2ed3d3..959a684 100644 --- a/algorithms/bfs.py +++ b/algorithms/bfs.py @@ -51,7 +51,7 @@ def graphsearch(initial_state: State, map, goal_list, fringe: List[Node] = None, explored_states = set() fringe_states = set() - # root Node + # train Node fringe.append(Node(initial_state)) fringe_states.add((initial_state.row, 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z$y33`Ka|4wMpsbkPeSHk6p#&a2-VP^WoXh9_;-@4}*Uq zP+G=ES-Le=dlbO(m(JMVs_Z%t&IF8cCjp`qYyY|M*=Djhjnc$)c705TIKxXp}jBB^Tp(S$8eCJZ^llqhC zOF{U%PE)j;`WjABEr;WEALEm8x(?&^0{E-z7;H+s2sRJ9A#2@jNa>q|?$Qa)!BPbS zGJBlZYlAT|2`PSi(MP-( zXP>?VwO-4vvPHyeKf|c)f9cEUYwESQ`*<@<|C4gqC#WJ!`V~lfr22P%fmM!|_*DBv zZU4PL3&!nDe=+-y9y=Hn>ErGE{|dmknW&%Oeqs17U3xdQ`T6RoE5^u3T`~+WZ_AN> zdPZ&P5ovBAN2Lc2#_V?v4LKg-6fHZfO&?8>53JQ^7`2&epw4>CoAIk@XBTaD{m=U| z9Vw$WP4+fVi(ReF&ei3z}^3GA(wEHamCT zHCg^=TCBS^J9h>xG~RRY9QO5h;^%8 BAR_HEIGHT_MULTIPLIER = 0.1 + +#NEURAL_NETWORK +learning_rate = 0.001 +batch_size = 7 +num_epochs = 10 + +device = torch.device('cuda') +classes = ['grass', 'sand', 'tree', 'water'] + +setup_photos = transforms.Compose([ + transforms.Resize(36), + transforms.CenterCrop(36), + transforms.ToPILImage(), + transforms.ToTensor(), + transforms.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5]) +]) + +id_to_class = {i: j for i, j in enumerate(classes)} +class_to_id = {value: key for key, value in id_to_class.items()} diff --git a/common/helpers.py b/common/helpers.py index dd13e31..22e44b7 100644 --- a/common/helpers.py +++ b/common/helpers.py @@ -1,5 +1,7 @@ import pygame -from common.constants import GRID_CELL_PADDING, GRID_CELL_SIZE, COLUMNS, ROWS +from common.constants import GRID_CELL_PADDING, GRID_CELL_SIZE, COLUMNS, ROWS, classes, class_to_id +import csv +import os def draw_text(text, color, surface, x, y, text_size=30, is_bold=False): @@ -12,6 +14,35 @@ def draw_text(text, color, surface, x, y, text_size=30, is_bold=False): textrect.topleft = (x, y) surface.blit(textobj, textrect) +def createCSV(): + train_csvfile = open('./data/train_csv_file.csv', 'w', newline="") + writer = csv.writer(train_csvfile) + writer.writerow(["filename", "type"]) + + train_data_path = './data/train' + test_data_path = './data/test' + + for class_name in classes: + class_dir = train_data_path + "/" + class_name + for filename in os.listdir(class_dir): + f = os.path.join(class_dir, filename) + if os.path.isfile(f): + writer.writerow([filename, class_to_id[class_name]]) + + test_csvfile = open('./data/test_csv_file.csv', 'w', newline="") + writer = csv.writer(test_csvfile) + writer.writerow(["filename", "type"]) + + for class_name in classes: + class_dir = test_data_path + "/" + class_name + for filename in os.listdir(class_dir): + f = os.path.join(class_dir, filename) + if os.path.isfile(f): + writer.writerow([filename, class_to_id[class_name]]) + + test_csvfile.close() + train_csvfile.close() + def print_numbers(): display_surface = pygame.display.get_surface() diff --git a/logic/health_bar.py b/logic/health_bar.py index c362fc7..0b8bc3a 100644 --- a/logic/health_bar.py +++ b/logic/health_bar.py @@ -46,7 +46,7 @@ class HealthBar: def heal(self, amount): if self.current_hp + amount < self.max_hp: self.current_hp += amount - elif self.current_hp + amount > self.max_hp: + elif self.current_hp + amount >= self.max_hp: self.current_hp = self.max_hp def show(self): diff --git a/requirements.txt b/requirements.txt index ad0de46619b5df1cbd8dab59cea17c01eb068d7e..f2fe57ad66272085c593d049ce04679e14e97b0b 100644 GIT binary patch delta 45 ncmY%Jn4q9h!jR8U#E{I8!NAMF#em?IF=R3n193h>9#{qd(PIcl delta 4 LcmeZJn4kav0>l9s -- 2.20.1 From 736dbc9616c1e7d1f28ace5149540eb6eb41828e Mon Sep 17 00:00:00 2001 From: XsedoX Date: Wed, 18 May 2022 10:29:05 +0200 Subject: [PATCH 4/8] nie potrzeba filderu all --- .../neural_network_interface.py | 15 ++---- .../neural_network/watersandtreegrass.py | 7 +-- common/constants.py | 3 +- common/helpers.py | 51 +++++++++++-------- logic/level.py | 1 - 5 files changed, 37 insertions(+), 40 deletions(-) diff --git a/algorithms/neural_network/neural_network_interface.py b/algorithms/neural_network/neural_network_interface.py index 3a3b1c6..d0e9e4d 100644 --- a/algorithms/neural_network/neural_network_interface.py +++ b/algorithms/neural_network/neural_network_interface.py @@ -12,7 +12,7 @@ CNN = NeuralNetwork().to(device) def train(model): model.train() - trainset = WaterSandTreeGrass('./data/train_csv_file.csv', './data/train/all', transform=setup_photos) + trainset = WaterSandTreeGrass('./data/train_csv_file.csv', transform=setup_photos) train_loader = DataLoader(trainset, batch_size=batch_size, shuffle=True) criterion = nn.CrossEntropyLoss() @@ -46,7 +46,7 @@ def check_accuracy(loader): num_samples = 0 model = NeuralNetwork() - model.load_state_dict(torch.load("./learnedNetwork.pt")) + model.load_state_dict(torch.load("./learnedNetwork.pt", map_location=device)) model = model.to(device) with torch.no_grad(): @@ -64,18 +64,12 @@ def check_accuracy(loader): print(f"Got {num_correct}/{num_samples} with accuracy {float(num_correct)/float(num_samples)*100:.2f}") -testset_loader = DataLoader( - WaterSandTreeGrass('./data/test_csv_file.csv', './data/test/all', transform=setup_photos), - batch_size=batch_size -) - - def what_is_it(img_path): image = read_image(img_path, mode=ImageReadMode.RGB) image = setup_photos(image).unsqueeze(0) model = NeuralNetwork() - model.load_state_dict(torch.load("./learnedNetwork.pt")) + model.load_state_dict(torch.load("./learnedNetwork.pt", map_location=device)) model = model.to(device) image = image.to(device) @@ -85,7 +79,4 @@ def what_is_it(img_path): return id_to_class[idx] - -check_accuracy(testset_loader) - print(what_is_it('./data/test/water/water.png')) diff --git a/algorithms/neural_network/watersandtreegrass.py b/algorithms/neural_network/watersandtreegrass.py index 835d540..93525d0 100644 --- a/algorithms/neural_network/watersandtreegrass.py +++ b/algorithms/neural_network/watersandtreegrass.py @@ -3,22 +3,19 @@ from torch.utils.data import Dataset import pandas as pd from torchvision.io import read_image, ImageReadMode from common.helpers import createCSV -import os class WaterSandTreeGrass(Dataset): - def __init__(self, annotations_file, img_dir, transform=None): + def __init__(self, annotations_file, transform=None): createCSV() self.img_labels = pd.read_csv(annotations_file) - self.img_dir = img_dir self.transform = transform def __len__(self): return len(self.img_labels) def __getitem__(self, idx): - img_path = os.path.join(self.img_dir, self.img_labels.iloc[idx, 0]) - image = read_image(img_path, mode=ImageReadMode.RGB) + image = read_image(self.img_labels.iloc[idx, 0], mode=ImageReadMode.RGB) label = torch.tensor(int(self.img_labels.iloc[idx, 1])) if self.transform: diff --git a/common/constants.py b/common/constants.py index e346f82..2e73dee 100644 --- a/common/constants.py +++ b/common/constants.py @@ -70,12 +70,13 @@ BAR_ANIMATION_SPEED = 1 BAR_WIDTH_MULTIPLIER = 0.9 # (0;1> BAR_HEIGHT_MULTIPLIER = 0.1 + #NEURAL_NETWORK learning_rate = 0.001 batch_size = 7 num_epochs = 10 -device = torch.device('cuda') +device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu') classes = ['grass', 'sand', 'tree', 'water'] setup_photos = transforms.Compose([ diff --git a/common/helpers.py b/common/helpers.py index 22e44b7..e5c7a32 100644 --- a/common/helpers.py +++ b/common/helpers.py @@ -14,34 +14,43 @@ def draw_text(text, color, surface, x, y, text_size=30, is_bold=False): textrect.topleft = (x, y) surface.blit(textobj, textrect) -def createCSV(): - train_csvfile = open('./data/train_csv_file.csv', 'w', newline="") - writer = csv.writer(train_csvfile) - writer.writerow(["filename", "type"]) +def createCSV(): train_data_path = './data/train' test_data_path = './data/test' - for class_name in classes: - class_dir = train_data_path + "/" + class_name - for filename in os.listdir(class_dir): - f = os.path.join(class_dir, filename) - if os.path.isfile(f): - writer.writerow([filename, class_to_id[class_name]]) + if os.path.exists(train_data_path): + train_csvfile = open('./data/train_csv_file.csv', 'w', newline="") + writer = csv.writer(train_csvfile) + writer.writerow(["filepath", "type"]) - test_csvfile = open('./data/test_csv_file.csv', 'w', newline="") - writer = csv.writer(test_csvfile) - writer.writerow(["filename", "type"]) + for class_name in classes: + class_dir = train_data_path + "/" + class_name + for filename in os.listdir(class_dir): + f = os.path.join(class_dir, filename) + if os.path.isfile(f): + writer.writerow([f, class_to_id[class_name]]) - for class_name in classes: - class_dir = test_data_path + "/" + class_name - for filename in os.listdir(class_dir): - f = os.path.join(class_dir, filename) - if os.path.isfile(f): - writer.writerow([filename, class_to_id[class_name]]) + train_csvfile.close() - test_csvfile.close() - train_csvfile.close() + else: + print("Brak plików do uczenia") + + if os.path.exists(train_data_path): + test_csvfile = open('./data/test_csv_file.csv', 'w', newline="") + writer = csv.writer(test_csvfile) + writer.writerow(["filepath", "type"]) + + for class_name in classes: + class_dir = test_data_path + "/" + class_name + for filename in os.listdir(class_dir): + f = os.path.join(class_dir, filename) + if os.path.isfile(f): + writer.writerow([f, class_to_id[class_name]]) + + test_csvfile.close() + else: + print("Brak plików do testowania") def print_numbers(): diff --git a/logic/level.py b/logic/level.py index f8e5ee5..8062cbf 100644 --- a/logic/level.py +++ b/logic/level.py @@ -155,4 +155,3 @@ class Level: # update and draw the game self.sprites.draw(self.screen) self.sprites.update() - \ No newline at end of file -- 2.20.1 From 431113a04c4469f631f5d42e537b58eabbe16dcb Mon Sep 17 00:00:00 2001 From: XsedoX Date: Wed, 18 May 2022 12:18:59 +0200 Subject: [PATCH 5/8] pokazuje zdjecie o jakie pytasz --- algorithms/neural_network/neural_network_interface.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/algorithms/neural_network/neural_network_interface.py b/algorithms/neural_network/neural_network_interface.py index d0e9e4d..d07db36 100644 --- a/algorithms/neural_network/neural_network_interface.py +++ b/algorithms/neural_network/neural_network_interface.py @@ -6,6 +6,7 @@ from neural_network import NeuralNetwork from torchvision.io import read_image, ImageReadMode import torch.nn as nn from torch.optim import Adam +import matplotlib.pyplot as plt CNN = NeuralNetwork().to(device) @@ -64,8 +65,11 @@ def check_accuracy(loader): print(f"Got {num_correct}/{num_samples} with accuracy {float(num_correct)/float(num_samples)*100:.2f}") -def what_is_it(img_path): +def what_is_it(img_path, show_img=False): image = read_image(img_path, mode=ImageReadMode.RGB) + if show_img: + plt.imshow(plt.imread(img_path)) + plt.show() image = setup_photos(image).unsqueeze(0) model = NeuralNetwork() @@ -79,4 +83,4 @@ def what_is_it(img_path): return id_to_class[idx] -print(what_is_it('./data/test/water/water.png')) +print(what_is_it('./data/test/sand/sand.png', True)) -- 2.20.1 From 4e3e68d4c33aec22f0cdc4c2c64e6d7f09402f65 Mon Sep 17 00:00:00 2001 From: XsedoX Date: Wed, 18 May 2022 15:44:07 +0200 Subject: [PATCH 6/8] FINISH --- algorithms/neural_network/learnedNetwork.pt | Bin 36375 -> 36375 bytes 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...tfevents.1653290364.DESKTOP-97QK98R.8432.0 | Bin 0 -> 1459 bytes .../lightning_logs/version_2/hparams.yaml | 1 + .../checkpoints/epoch=8-step=810.ckpt | Bin 0 -> 4676503 bytes ...fevents.1653310536.DESKTOP-97QK98R.15588.0 | Bin 0 -> 12949 bytes .../lightning_logs/version_3/hparams.yaml | 1 + algorithms/neural_network/neural_network.py | 52 ++++++-- .../neural_network_interface.py | 111 ++++++++++++------ common/constants.py | 17 +-- common/helpers.py | 12 +- 16 files changed, 131 insertions(+), 65 deletions(-) create mode 100644 algorithms/neural_network/lightning_logs/version_0/checkpoints/epoch=6-step=630.ckpt create mode 100644 algorithms/neural_network/lightning_logs/version_0/events.out.tfevents.1653283421.DESKTOP-97QK98R.19372.0 create mode 100644 algorithms/neural_network/lightning_logs/version_0/hparams.yaml create mode 100644 algorithms/neural_network/lightning_logs/version_1/checkpoints/epoch=7-step=720.ckpt create mode 100644 algorithms/neural_network/lightning_logs/version_1/events.out.tfevents.1653288273.DESKTOP-97QK98R.9316.0 create mode 100644 algorithms/neural_network/lightning_logs/version_1/hparams.yaml create mode 100644 algorithms/neural_network/lightning_logs/version_2/checkpoints/epoch=0-step=90.ckpt create mode 100644 algorithms/neural_network/lightning_logs/version_2/events.out.tfevents.1653290364.DESKTOP-97QK98R.8432.0 create mode 100644 algorithms/neural_network/lightning_logs/version_2/hparams.yaml create mode 100644 algorithms/neural_network/lightning_logs/version_3/checkpoints/epoch=8-step=810.ckpt create mode 100644 algorithms/neural_network/lightning_logs/version_3/events.out.tfevents.1653310536.DESKTOP-97QK98R.15588.0 create mode 100644 algorithms/neural_network/lightning_logs/version_3/hparams.yaml diff --git a/algorithms/neural_network/lightning_logs/version_0/checkpoints/epoch=6-step=630.ckpt b/algorithms/neural_network/lightning_logs/version_0/checkpoints/epoch=6-step=630.ckpt new 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