init

src/Arknights-tools/data/arknights_payment_data

@@ -0,0 +1 @@
+{"20230406161208000039536689612373": {"orderId": "20230406161208000039536689612373", "platform": 1, "amount": 3000, "productName": "\u6708\u5361", "payTime": "2023-04-06 16:12:19"}, "20230406161225000059062182956747": {"orderId": "20230406161225000059062182956747", "platform": 1, "amount": 3000, "productName": "\u6708\u5361", "payTime": "2023-04-06 16:12:33"}, "20230422204748000037275953981298": {"orderId": "20230422204748000037275953981298", "platform": 1, "amount": 16800, "productName": "\u6bcf\u6708\u5bfb\u8bbf\u7ec4\u5408\u5305", "payTime": "2023-04-22 20:47:57"}, "20230606085446000057642937061731": {"orderId": "20230606085446000057642937061731", "platform": 1, "amount": 3000, "productName": "\u6708\u5361", "payTime": "2023-06-06 08:54:57"}, "20230608160910000057849442448153": {"orderId": "20230608160910000057849442448153", "platform": 1, "amount": 3000, "productName": "\u6267\u88c1\u8005\u82af\u7247\u793c\u5305", "payTime": "2023-06-08 16:09:20"}, "20230705005009000057738543391207": {"orderId": "20230705005009000057738543391207", "platform": 1, "amount": 3000, "productName": "\u6708\u5361", "payTime": "2023-07-05 00:50:20"}, "20230705005027000057120734707077": {"orderId": "20230705005027000057120734707077", "platform": 1, "amount": 3000, "productName": "\u6708\u5361", "payTime": "2023-07-05 00:50:39"}, "20230705010136000017525085998075": {"orderId": "20230705010136000017525085998075", "platform": 1, "amount": 600, "productName": "\u5929\u5916\u63a2\u5bfb\u7ec4\u5408\u5305", "payTime": "2023-07-05 01:01:45"}, "20230708100023000047661171492268": {"orderId": "20230708100023000047661171492268", "platform": 1, "amount": 3000, "productName": "\u6708\u5361", "payTime": "2023-07-08 10:00:33"}, "20231003191546000037922632492942": {"orderId": "20231003191546000037922632492942", "platform": 1, "amount": 3000, "productName": "\u6708\u5361", "payTime": "2023-10-03 19:15:58"}, "20231101085130000017277916939385": {"orderId": "20231101085130000017277916939385", "platform": 1, "amount": 3000, "productName": "\u6708\u5361", "payTime": "2023-11-01 08:51:40"}, "20231203195659000036902177498018": {"orderId": "20231203195659000036902177498018", "platform": 1, "amount": 3000, "productName": "\u6708\u5361", "payTime": "2023-12-03 19:57:14"}, "20240331203232000056814987091551": {"orderId": "20240331203232000056814987091551", "platform": 1, "amount": 3000, "productName": "\u6708\u5361", "payTime": "2024-03-31 20:32:40"}, "20240331203211000056175759151497": {"orderId": "20240331203211000056175759151497", "platform": 1, "amount": 3000, "productName": "\u6708\u5361", "payTime": "2024-03-31 20:32:25"}}

src/Arknights-tools/data/banner_data/宿愿.txt

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+{"operator_6": ["温蒂", "早露", "铃兰", "棘刺", "森蚺", "史尔特尔", "瑕光", "泥岩", "山", "空弦", "嵯峨", "异客", "凯尔希", "卡涅利安", "帕拉斯", "水月", "琴柳", "远牙", "焰尾", "灵知", "老鲤", "澄闪", "菲亚梅塔", "号角", "艾丽妮", "黑键", "多萝西", "鸿雪", "玛恩纳", "白铁]斥罪", "焰影草", "林", "仇白", "伊内丝", "霍尔海雅", "圣约送葬人", "提丰", "琳琅诗怀雅", "涤火杰西卡", "赫德雷", "塑心", "薇薇安娜", "W", "迷迭香", "浊心斯卡蒂", "缄默德克萨斯", "归淏幽灵鲨", "耀骑士临光"], "operator_5": ["极境", "石棉", "月禾", "莱恩哈特", "断崖", "蜜蜡", "贾维", "安哲拉", "燧石", "四月", "奥斯塔", "絮雨", "卡夫卡", "爱丽丝", "乌有", "熔泉", "赤冬", "绮良", "羽毛笔", "桑葚", "灰毫", "蚀清", "极光", "夜半", "夏栎", "风丸", "洛洛", "掠风", "濯尘芙蓉", "承曦格雷伊", "晓歌", "但书", "明椒", "子月", "和弦", "火哨", "铎铃", "洋灰", "玫拉", "空构", "寒檀", "青枳", "杏仁", "刺玫", "深律"], "operator_4": ["夜烟", "远山", "杰西卡", "流星", "白雪", "清道夫", "红豆", "杜宾", "缠丸", "霜叶", "慕斯", "砾", "暗索", "末药", "调香师", "角峰", "蛇屠箱", "古米", "深海色", "地灵", "阿消", "猎蜂", "格雷伊", "苏苏洛", "桃金娘", "红云", "梅", "安比尔", "宴", "刻刀", "波登可", "卡达", "子", "酸糖", "芳汀", "泡泡", "杰克", "松果", "豆苗", "深靛", "罗比拉塔", "褐果", "铅踝", "休谟斯", "维荻"], "operator_3": ["芬", "香草", "翎羽", "玫兰莎", "卡缇", "米格鲁", "克洛丝", "炎熔", "芙蓉", "安赛尔", "史都华德", "梓兰", "空爆", "月见夜", "斑"], "limited": true, "Upper_6": {"薇薇安娜": 0.35, "塑心": 0.35}, "Upper_history_6": {"缄默德克萨斯": 5, "归淏幽灵鲨": 5, "耀骑士临光": 5}, "Upper_5": {"深律": 0.5}}

src/Arknights-tools/data/token

@@ -0,0 +1 @@
+"ObEDaT5atWTQzBws1qRn3LbC"

src/Arknights-tools/data/userinfo.txt

@@ -0,0 +1 @@
+{"username": "18021026530", "password": "Mrfz1790990971"}

src/Arknights-tools/pull_simulation.py

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+import random
+import json
+import copy
+import threading
+import matplotlib.pyplot as plt
+import time
+from multiprocessing import Process, Manager
+
+
+def load_banner_data(banner_name):
+    try:
+        file = open(f'data/banner_data/{banner_name}.txt', 'r', encoding='utf-8')
+        content = json.loads(file.read())
+        file.close()
+        return content
+    except FileNotFoundError:
+        return None
+
+
+def single_pull(banner_data, no_six_pull_count=0):
+    # Process Pity Pull
+    six_star_threshold = (no_six_pull_count - 50) * 2 if no_six_pull_count > 50 else 0
+    factor = (100 - (2 + six_star_threshold)) / 98
+    prob_list = [2 + six_star_threshold, 8 * factor, 50 * factor, 40 * factor]
+    sum_prob_list = [prob_list[0], prob_list[0] + prob_list[1], prob_list[0] + prob_list[1] + prob_list[2],
+                     prob_list[0] + prob_list[1] + prob_list[2] + prob_list[3]]
+
+    # get star info
+    star_random_int = random.randint(1, 100)
+    if 0 < star_random_int <= sum_prob_list[0]:
+        result = 6
+        target = get_operator_consider_upper(banner_data['Upper_6'], banner_data['operator_6'],
+                                             banner_data['Upper_history_6'])
+    elif sum_prob_list[0] < star_random_int <= sum_prob_list[1]:
+        result = 5
+        target = get_operator_consider_upper(banner_data['Upper_5'], banner_data['operator_5'])
+    elif sum_prob_list[1] < star_random_int <= sum_prob_list[2]:
+        result = 4
+        target = random.choice(banner_data['operator_4'])
+    else:
+        result = 3
+        target = random.choice(banner_data['operator_3'])
+    if result == 6:
+        no_six_pull_count = 0
+    else:
+        no_six_pull_count += 1
+    return (result, target), no_six_pull_count
+
+
+def get_operator_consider_upper(upper_data, operator_list, multiplex_data=None):
+    random_int = random.randint(1, 100)
+    upper_operator_list = list(upper_data.keys())
+    upper_operator_probability_list = [0]
+    new_list = copy.deepcopy(operator_list)
+    flag = 0
+    for operator in upper_operator_list:
+        flag += upper_data[operator] * 100
+        upper_operator_probability_list.append(flag)
+
+    for i in range(len(upper_operator_list)):
+        if upper_operator_probability_list[i] < random_int <= upper_operator_probability_list[i+1]:
+            return upper_operator_list[i]
+
+    if multiplex_data:
+        for key, value in multiplex_data.items():
+            for i in range(value-1):
+                new_list.append(key)
+    target = random.choice(new_list)
+    return target
+
+
+def ten_pull(banner_data, no_six_pull_count=0):
+    result_list = []
+    is_african = True
+    for i in range(10):
+        res, no_six_pull_count = single_pull(banner_data, no_six_pull_count)
+        result_list.append(res)
+        if res[0] > 4:
+            is_african = False
+    return result_list, no_six_pull_count, is_african
+
+
+def continues_pull(banner_data, total_pull):
+    ten_pull_count = int(total_pull / 10)
+    single_pull_count = ten_pull_count - ten_pull_count
+    no_six_pull_count = 0
+    african_count = 0
+    full_res_list = []
+    for i in range(ten_pull_count):
+        ten_pull_res, no_six_pull_count, is_african = ten_pull(banner_data, no_six_pull_count)
+        full_res_list += copy.deepcopy(ten_pull_res)
+        if is_african:
+            african_count += 1
+
+    for i in range(single_pull_count):
+        single_res, no_six_pull_count = single_pull(banner_data, no_six_pull_count)
+    six_star_list = [i for i in full_res_list if i[0] == 6]
+
+    # pull_result = {'Result': full_res_list, 'african': african_count, 'six star count': len(six_star_list)}
+    pull_result = {'african': african_count, '6 star count': len(six_star_list), '6 star list': six_star_list,
+                   'full res': full_res_list}
+    return pull_result
+
+
+def banner_upper_pull(banner_data):
+    target_dict = copy.deepcopy(banner_data['Upper_6'])
+    total_pull = 0
+    full_res_list = []
+    while target_dict:
+        res, total_pull = single_pull(banner_data, total_pull)
+        full_res_list.append(res)
+        if res[0] == 6 and res[1] in target_dict:
+            del target_dict[res[1]]
+    six_star_list = [i for i in full_res_list if i[0] == 6]
+    pull_result = {'total pull': len(full_res_list), '6 star count': len(six_star_list), '6 star list': six_star_list,
+                   'full res': full_res_list}
+    return pull_result
+
+
+def banner_upper_pull_batch_sim(banner_data, sim_count, index, res):
+    local_sim_result, local_statics = {}, {'6 star count': 0, 'total pull': 0}
+    for i in range(sim_count):
+        pull_data = banner_upper_pull(banner_data)
+        total_pull = pull_data['total pull']
+        if total_pull not in local_sim_result:
+            local_sim_result[total_pull] = 0
+        local_sim_result[total_pull] += 1
+        local_statics['6 star count'] += pull_data['6 star count']
+        local_statics['total pull'] += total_pull
+    res[index] = [local_sim_result, local_statics]
+    return
+
+
+def given_six_star_num_pull(banner_data):
+    six_star_num = 6
+    total_pull = 0
+    full_res_list = []
+    while six_star_num > 0:
+        res, total_pull = single_pull(banner_data, total_pull)
+        full_res_list.append(res)
+        if res[0] == 6:
+            six_star_num -= 1
+    six_star_list = [i for i in full_res_list if i[0] == 6]
+    pull_result = {'total pull': len(full_res_list), '6 star count': len(six_star_list), '6 star list': six_star_list,
+                   'full res': full_res_list}
+    return pull_result
+
+
+def given_six_star_num_batch_sim(banner_data, sim_count, index, res):
+    local_sim_result, local_statics = {}, {'6 star count': 0, 'total pull': 0}
+    for i in range(sim_count):
+        pull_data = given_six_star_num_pull(banner_data)
+        total_pull = pull_data['total pull']
+        if total_pull not in local_sim_result:
+            local_sim_result[total_pull] = 0
+        local_sim_result[total_pull] += 1
+        local_statics['6 star count'] += pull_data['6 star count']
+        local_statics['total pull'] += total_pull
+    res[index] = [local_sim_result, local_statics]
+    return
+
+
+def banner_upper_pull_batch_sim_vis(res, total_tries):
+    sim_res = {}
+    sim_statics = {'6 star count': 0, 'total pull': 0}
+    for item in res:
+        for key, values in item[0].items():
+            if key not in sim_res:
+                sim_res[key] = values
+            else:
+                sim_res[key] += values
+        for key, values in item[1].items():
+            sim_statics[key] += values
+
+    # 重排序
+    sim_res = {item[0]: item[1] for item in sorted(sim_res.items(), key=lambda x: x[0])}
+    # 分离键和值作为横纵坐标
+    x = list(sim_res.keys())
+    y = [pull * 10000 / total_tries for pull in sim_res.values()]
+    y_sum = []
+    sum_y = 0
+    for i in y:
+        sum_y += i / 10000
+        y_sum.append(sum_y)
+
+    print('Total Pull:', sim_statics["total pull"])
+    print('Total Six Star Count', sim_statics["6 star count"])
+    print('Six Star Percentage', sim_statics["6 star count"] / sim_statics["total pull"] * 100)
+
+    # 创建散点图
+    plt.figure(figsize=(8, 4))
+    # plt.scatter(x, y)
+    # plt.bar(x, y)
+    plt.subplot(2, 1, 1)
+    plt.plot(x, y)
+    plt.title("Pull count for getting both of the upper 6")
+    plt.ylabel("Parts per 10000")
+
+    plt.subplot(2, 1, 2)
+    plt.plot(x, y_sum)
+    plt.ylabel("Percentage")
+    plt.xlabel("Total Pull")
+    plt.grid(True)
+    plt.show()
+
+
+if __name__ == '__main__':
+    banner = load_banner_data('宿愿')
+
+    start = time.time()
+    process_count = 4
+    process_sim = 50000
+    with Manager() as manager:
+        results = manager.list([None for i in range(process_count)])  # 创建一个长度为5的列表，用于存储结果
+        # 创建一个进程列表
+        processes = []
+        # 创建和启动进程
+        for i in range(process_count):
+            # process = Process(target=banner_upper_pull_batch_sim, args=(banner, process_sim, i, results))
+            process = Process(target=given_six_star_num_batch_sim, args=(banner, process_sim, i, results))
+            process.start()
+            processes.append(process)
+
+        # 等待所有进程完成
+        for process in processes:
+            process.join()
+
+        # 所有线程执行完成后打印执行时间
+        print("Done, Time:", time.time() - start)
+
+        banner_upper_pull_batch_sim_vis(results, process_count * process_sim)
+    # banner_upper_pull_batch_sim(banner, 1000)
+    pass
+

src/Arknights-tools/pull_simulation_new.py

@@ -0,0 +1,105 @@
+import random
+import copy
+import threading
+import matplotlib.pyplot as plt
+from mpl_toolkits.mplot3d import Axes3D
+import numpy as np
+
+
+def single_pull(no_six_pull_count=0):
+    x = random.randint(1, 100)
+    six_star_threshold = (no_six_pull_count - 50) * 2 if no_six_pull_count > 50 else 0
+    factor = (100 - (2 + six_star_threshold)) / 98
+    prob_list = [2 + six_star_threshold, 8 * factor, 50 * factor, 40 * factor]
+    sum_prob_list = [prob_list[0], prob_list[0] + prob_list[1], prob_list[0] + prob_list[1] + prob_list[2], prob_list[0] + prob_list[1] + prob_list[2] + prob_list[3]]
+    if 0 < x <= sum_prob_list[0]:
+        result = 6
+    elif sum_prob_list[0] < x <= sum_prob_list[1]:
+        result = 5
+    elif sum_prob_list[1] < x <= sum_prob_list[2]:
+        result = 4
+    else:
+        result = 3
+    if result == 6:
+        no_six_pull_count = 0
+    else:
+        no_six_pull_count += 1
+    return result, no_six_pull_count
+
+
+def ten_pull(no_six_pull_count=0):
+    result_list = []
+    is_african = True
+    for i in range(10):
+        res, no_six_pull_count = single_pull(no_six_pull_count)
+        result_list.append(res)
+        if res > 4:
+            is_african = False
+    return result_list, no_six_pull_count, is_african
+
+
+def run_simulation(total_pull=200):
+    ten_pull_count = int(total_pull / 10)
+    single_pull_count = ten_pull_count - ten_pull_count
+    no_six_pull_count = 0
+    african_count = 0
+    full_res_list = []
+    for i in range(ten_pull_count):
+        ten_pull_res, no_six_pull_count, is_african = ten_pull(no_six_pull_count)
+        full_res_list += copy.deepcopy(ten_pull_res)
+        if is_african:
+            african_count += 1
+
+    for i in range(single_pull_count):
+        single_res, no_six_pull_count = single_pull(no_six_pull_count)
+    six_star_list = [i for i in full_res_list if i == 6]
+
+    # pull_result = {'Result': full_res_list, 'african': african_count, 'six star count': len(six_star_list)}
+    pull_result = {'african': african_count, 'six star count': len(six_star_list)}
+    return pull_result
+
+
+if __name__ == '__main__':
+
+    hit = 0
+    hit1 = 0
+    hit2 = 0
+
+    total_pull_count = 180
+    african_threshold = 10
+    six_threshold = 4
+    simulation_count = 50000
+
+    status_dict = {}
+
+    for i in range(simulation_count):
+        k = run_simulation(total_pull_count)
+        key = f"{k['african']}-{k['six star count']}"
+        if key in status_dict:
+            status_dict[key][0] += 1
+        else:
+            status_dict[key] = [0, k['african'], k['six star count']]
+        if k['african'] >= african_threshold and k['six star count'] <= six_threshold:
+            hit += 1
+            if k['african'] == african_threshold and k['six star count'] == six_threshold:
+                hit1 += 1
+        if k['african'] >= african_threshold:
+            hit2 += 1
+    print(hit / simulation_count * 1000, hit1 / simulation_count * 1000, hit2 / simulation_count * 1000)
+
+    fig = plt.figure()
+    ax = fig.add_subplot(111, projection='3d')
+    max_color = max([item[0] for item in status_dict.values()])
+    for key, item in status_dict.items():
+        color = np.array([1, 1 - item[0] / max_color, 0])  # 颜色 其中每个元素在0~1之间
+        ax.bar3d(item[1], item[2], 0, 1, 1, item[0], color=color)
+        ax.text(x=item[1], y=item[2], z=item[0] + 30, s=f"{item[1]}, {item[2]}, {item[0]}",
+                 ha='center', fontsize=8, family='Calibri', va='center')
+    ax.set_xlabel('African ten pull')
+    ax.set_ylabel('Six star count')
+    ax.set_zlabel('Count')
+    ax.set_title('Pull Simulation Result')
+    plt.show()
+
+    print('done')
+