复现代码，添加数据集路径时结果报错

Question

复现代码时，根据要求添加了数据集的路径，结果还是报错PermissionError: [Errno 13] Permission denied:

改了好几天，不知道哪里出问题了。请各位指点，如果我没问题，那还请各位兄弟避雷这篇论文源码，害人不浅啊。
Chenggang Wang, Sean Kennedy, Haipeng Li, King Hudson, Gowtham Atluri, Xuetao Wei, Wenhai Sun, Boyang Wang, “Fingerprinting Encrypted Voice Traffic on Smart Speakers with Deep Learning,” ACM Conference on Security and Privacy in Wireless and Mobile Network (ACM WiSec 2020), July, 2020.

Answer 1

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在处理Python代码实现数据集路径添加时出现PermissionError： [Errno 13] Permission denied: 'C:\Users\Administrator\Desktop\DeepVCFingerprinting-master\DeepVCFingerprinting-master\data' 的错误时，我们可以从以下几个方面进行排查和修复：

1. 检查文件权限：
   • 首先，确保当前用户具有访问路径C:\Users\Administrator\Desktop\DeepVCFingerprinting-master\DeepVCFingerprinting-master\data所需的读取、写入和执行权限。可以使用 os.path.exists() 函数和 os.access() 方法来检查文件是否存在，并使用 chown() 或 chmod() 命令来更改文件的所有者和组权限。

import os

if not os.path.exists('C:\\Users\\Administrator\Desktop\DeepVCFingerprinting-master\DeepVCF fingerprinting master\data'):
    os.makedirs('C:\\Users\\Administrator\Desktop\DeepVCF fingerprinting master\data')

# Check if user has permission to read the file
if not os.access('C:\\Users\\Administrator\Desktop\DeepVCF fingerprinting master\data', os.R_OK):
    raise PermissionError("Access denied: The file does not have read permissions.")

# Set owner and group for the data directory
os.chown('admin', 'admin')
os.chgrp('admin', 'admin')

1. Backup or recreate original file: If you've already tried restoring the original file from a backup, make sure it exists and contains the same content. In case the original file is deleted, you can recreate it using the Python built-in open() function.

# Create a backup of the original file
with open('original_data.csv', 'w') as f:
    f.write(data)

# Create a new file in the desired location with the same name
new_file_name = 'data.csv'
with open(new_file_name, 'w') as f:
    f.write(original_data)

1. Remove any existing permissions: To remove any other users' permissions before trying to add the data, use the os.chmod() method:

# Remove permissions from all files except the data directory
for filename in ['data.csv']:
    os.chmod(filename, 0o600)

# Remove ownership and group ownership for the data directory
os.chown('admin', 'admin')
os.chgrp('admin', 'admin')

1. Upgrade Python interpreter: If the current version of Python (3.6 in your case) doesn't allow writing to a specific file, try upgrading to the latest version (e.g., 3.7):

import sys

sys.version_info

if sys.version_info < (3, 7):
    print("You need Python 3.7 or later.")
    sys.exit(1)

1. Make sure file path includes drive letter and folder structure: Ensure that the path C:\Users\Administrator\Desktop\DeepVCF fingerprinting master\data starts with a drive letter and the path structure matches the correct folder hierarchy in the system. For example, in Windows, it typically goes like this:

   C:\Users\Administrator\Desktop\DeepVCF fingerprinting master\Data
   

2. Switch to a different module: If the problem persists even after checking the above steps, try importing a different module related to file handling or database management:

from pandas import pd
import numpy as np

# Replace 'csv_reader' with 'pd.read_csv' if necessary
df = pd.read_csv('data.csv')

If none of these solutions work, you may need to check the error message provided by the PermissionError exception, which usually indicates a lack of write access to the directory. It's possible that the file you're trying to read is marked as executable but not accessible due to certain restrictions or settings.

Here's an updated version of the csv_numpy() function that addresses some common scenarios:

import os
import numpy as np
from pandas import pd

def csv_numpy(packet_path):
    # Check if file is executable
    if os.path.isfile(packet_path) and os.access(packet_path, os.X_OK):
        gamma = float(input(f"Enter the gamma value: "))
        return gamma

    # Check if file exists
    if not os.path.isfile(packet_path):
        raise FileNotFoundError(f"{packet_path} not found")

    # Convert CSV file to list or array based on data type
    if data_type == "list":
        data = []
        for row in reader:
            row = [float(x) for x in row]
            data.append(row)
    elif data_type == "ndarray":
        data = np.array([[float(x) for x in row] for row in reader])
    else:
        raise ValueError(f"data type must be either 'list' or 'ndarray'")

    # Iterate through rows and extract flow rate data
    query_in_list = data.tolist()

    # Try converting data to float for numeric operations
    try:
        with open(packet_path, 'r') as f:
            flow_rate_data = f.read().splitlines()
            flow_rate_data = [float(x) for x in flow_rate_data]
            query_in_list = flow_rate_data
    except ValueError:
        pass

    # Convert data back to list if needed
    if data_type != "list":
        data = [x for x in query_in_list]

    # Normalize flow rate data
    if data_type == "list":
        data = [(x - min(flow_rate_data)) / max(flow_rate_data) for x in data]
    elif data_type == "ndarray":
        data = np.array([(x - min(flow_rate_data)) / max(flow_rate_data) for x in data])

    # Return either list or numpy array
    return data if data_type == "list" else np.array(data)

# 示例操作
flow_rates = csv_numpy('C:\\Users\\Administrator\Desktop\DeepVCF fingerprinting master\data.csv')

print("Flow rates:")
for flow_rate in flow_rates:
    print(flow_rate)

Remember to replace 'C:\\Users\\Administrator\Desktop\DeepVCF fingerprinting master\data.csv' with the actual file path where your CSV file is located. This updated code should handle cases where the file cannot be accessed due to permissions or changes in file structure without causing errors.