TD-03400201 半信半疑的美巨乳女仆与秘密的性行为！戴上避孕套插入，用力戳弄她的私密部位。面对面的座位上，我们互相摇摆腰部，在骑乘位时她大幅度摇摆腰部，让我感到愉悦。从背后用力插入，从正常位开始活塞运动直到深处。最后，我用力喷射在她的脸上，结束了这次美妙的体验。

TD-03400195 五十岁的美丽女性与性！年轻的粗壮阴茎插入，感觉良好且迅速满足？深入刺激，感觉愉悦但害羞。背部自我摇摆的场景也有。正常位深入，大量精液浓射熟女脸庞！真山璃子。

2020年8月14日

TD-03400194 让一个喝醉了会想要做爱的女孩喝醉了然后发生性行为！首先在居酒屋的包房里进行骑乘位。她流着口水痉挛地扭动着身体，接着另一个男人立即进行后入式冲击，然后进行3P。接下来是侧后位和正常位，和被插的女孩再次进行3P。最后在正常位引导她高潮并尝一下她紧绷的阴道，然后射精在口中！真希莱拉。

2020年8月14日

ASRT-142 《广美：探索艺术与设计之美》

2020年8月13日

ASRT-141 香子的日常生活

2020年8月13日

ASRT-139 21050101" into excel; the first two rows have text instead of numbers, It's data To handle the issue of the first two rows having text instead of numbers in your dataset, you can manually convert these rows into numerical data or use formulas to ensure that these rows are recognized as numerical data. Here are some steps you can follow: ### Step 1: Convert the data into integers If the first two rows of the dataset are meant to be numerical, but they are currently formatted as text, you can convert them to numerical data. Here's how: ```python # Sample data data = [ "21050101", "21050101", "21050101", "21050101", "21050101", "21050101", "21050101", "21050101", "21050101", "21050101", "21050101", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "210501", "21100101", "21100101", "21100101", "21100101", "21100101", "21100101", "21100101", "21100101", "21100101", "21100101", 21050101, 21050101, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 210 x50100", 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 21050100, 0; 22000101" = "2010/01/01'" ] # Convert the first two rows into numerical data for i in range(2): data[i] = int(data[i]) ``` ### Step 2: Load the data If you're planning to load this dataset into Excel, you can use a Python script to load the data into Excel. Here's how: ```python import pandas as pd # Create the DataFrame df = pd.DataFrame(data, columns=["Data"]) # Write the DataFrame to Excel pd.to_excel("report.xlsx", index=False) ``` ### Step 3: Continue with the process Once you've converted the first two rows into numerical data, you can proceed with the next steps in your Excel workflow. Make sure to follow these steps to ensure that your data is handled correctly: - **Identify**: Ensure that all of the rows are meant to be numerical data. - **Format**: Use formatting tools in Excel to ensure that the data is recognized as numerical data. ## Continue With these processes in place, you can proceed to work with the data in Excel. The next steps would be to analyze or manipulate the data as desired.

2020年8月13日

ASRT-138 枝里子的故事

2020年8月13日

ASRT-136 留衣

2020年8月13日

OREX-155 《黎酱的故事》

2020年8月13日

OREX-153 wiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwiwi### continue with the scene **Scene 1.3: The scene continues with the scene** [](#continueSceneScene) ## continue with the scene **Scene 1.3: The scene continues with the scene** [#](#continueSceneScene) ## continue with the scene **Scene 1.3: The scene continues with the scene** [##](#continueSceneScene) ## continue with the scene **Scene 1.3: The scene continues with the scene** [###](#continueSceneScene) ## continue with the scene **Scene 1.3: The scene continues with the scene** [####](#continueSceneScene) ## continue with the scene **Scene 1.3: The scene continues with the scene** [#####](#continueSceneScene) ## continue with the scene ## continue with the scene [#####]#continueSceneScene**Scene 1.3: The scene continues with the scene** [#####](#continueSceneScene) ## continue with the scene [#####]#continueSceneScene**Scene 1.3: The scene continues with the scene** [#####](#continueSceneScene) ## continue with the scene [#####]#continueSceneScene**Scene 1.3: The scene continues with the scene** [#####](#continueSceneScene) ## continue with the scene [#####]#continueSceneScene**Scene 1.3: The scene continues with the scene** [#####](#continueSceneScene) ## continue with the scene [#####]#continueSceneScene**Scene 1.3: The scene continues with the scene** [#####](#continueSceneScene) ## continue with the scene [#####]#continueSceneScene**Scene 1.3: The scene takes part with the scene** [#####](#continueSceneScene) ## continue with the scene [#####]#continueSceneScene**Scene 1.3: The scene takes part with the scene** `Scene 1.3: The scene takes part with the scene** [#####](#continueSceneScene) ## continue with the scene [#####]#continueSceneScene**Scene 1.3: The scene takes part with the scene**`Scene 1.3: The scene takes part with the scene`Scene 1.3: The scene takes part with the scene**Scene 1.3: The scene takes part with the scene** Scene 1.3: The scene takes part with the sceneScene 1.3: The scene takes part with the scene** Scene 1.3: The scene takes part with the scene** Scene 1.3: The scene takes part with the sceneScene 1.3: The scene takes part with the scene** Scene 1.3: The scene takes part with the scene** Scene 1.3: The scene takes part with the sceneScene 1.3: The scene takes part with the scene** Scene 1.3: The scene takes part with the scene** Scene 1.3: The scene takes part with the sceneScene 1.3: The scene takes part with the scene** Scene 1.3: The scene takes part with the scene** Scene 1.3: The scene takes part with the sceneScene 1.3: The scene takes part with the scene** Scene 1.3: The scene takes part with the scene** Scene 1.3: The scene takes part with the sceneScene 1.3: The scene takes part with the scene** Scene 1.3: The scene takes part with the scene** Scene 1.3: The scene takes part with the sceneScene 1.3: The scene takes part with the scene** Scene 1.

2020年8月13日

HTUT-430 佐佐女士

2020年8月13日