Why does my Python file run twice?

Why does my Python file run twice?

The reason is simple: Your module is importing itself (because it is also named random ) – this has to do with the lookup mechanics of python. python will try to import from your root folder first, before modules from pythonpath are imported.

How do you repeat a function multiple times in Python?

Repeat N Times in Python Using the range() Function

1. Copy num = 10 for x in range(num): #code.
2. Copy num = 10 for _ in range(num): #code.
3. Copy import itertools num = 10 for _ in itertools. repeat(None, num): #code.

Is init py always running?

The code in __init__.py is run whenever you import anything from the package. That includes importing other modules in that package.

How do you write multiple lines in Python?

Use writelines() to write multiple lines to a file

1. my_file = open(“test_file.txt”, “w”)
2. text_list = [“ab\n”, “cd\n”, “ef”]
3. my_file. writelines(text_list)
4. my_file = open(“test_file.txt”)
5. content = my_file. read()
6. my_file. Close file.
7. print(content)

How many Python scripts can you run at once?

You can run only one Python application per interpreter, and you can only run one interpreter per process.

How to get rid of output buffering in Python?

Another approach to disable the output buffering in python is to open up the stdout in write mode with buffer size set to 0 (unbuffered) and then wrapping it using TextIOWrapper to ensure that you get a TextIO stream and not a binary file object. Also, you must ensure to enable the write_through to eliminate all buffers.

Is there an exploit for buffer overflow in Python?

This overflow can be exploited remotely. The overflow could be exploited to cause a simple crash or execute a remote shell code by injecting into the running Python process. This bug is still relevant since a lot of systems may continue to run dated and unpatched versions of Python making the system vulnerable to attacks.

Where can I find the Buffer protocol in Python?

Because the buffer protocol is fundamentally a C-API entity, implementing new functionality with it generally requires digging into the guts of Python’s C API. For example, the code that enables the above numpy example is found in NumPy’s buffer.c file, and reading through it is not particularly enlightening.

How is no operation used in buffer overflow?

Basically no operation is used to make sure that our exploit doesn’t fail , because we won’t always point to the right address , so we add stuff that doesn’t do anything and we point to them , Then when the program executes it will reach those NOPs and keeps executing them (does nothing) until it reaches the shellcode.