To see how this works, create a new file in your project's directory, give it your preferred name, and import your module as written in the code snippet below: from subword_count.wordcounter import CountWordsÄuring an absolute import, Python browses through the parent folder ( subword_count in this case) and locates the file or module containing the function of interest ( CountWords). To import your module from wordcounter (which is now inside the subword_count folder) into a new Python file, you need to call it absolutely. But the file that you intend to import your function from (which is wordcounter, in this case), is in another folder within your project's directory-let's call that folder subword_count. To understand this a bit further, let's assume that you've created a new file within your project's directory. What if the new file isn't in the same directory as the module file? In these cases, you must reference the module by using an absolute import. ![]() To reuse that function in a new Python file, we import it from its parent file ( wordcounter.py). In the snippet above, CountWords is the function inside the wordcounter.py file. Here's what the new file looks like: from wordcounter import CountWords To make sure this is the case, just create a new Python file in the same directory where you have the wordcounter.py file. Note that all your Python files must be in the same directory, in this case. If you need that function in a new file and don't want to rewrite the whole code or function, all you need to do is import that function as a module in your new file. That file holds a function called CountWords. Remember that you earlier created a file named wordcounter.py. That's it we're created a word counter module. Now that the raw code is working, we then modularize it by creating a function that makes the code reusable: def CountWords (words): This way you can select the interpreter in your virtual environment and use that. You can set this using the Python: Select Interpreter command from the command palette (Ctrl + Shift + P). then Code Runner will use whatever value is in the pythonPath variable instead. ![]() # Next, loop through the variable to count the words in the created variable By default it seems to simply invoke the python interpreter added to the PATH. Here's what the wordcounter file looks like: # create a variable called word that holds some strings In this case, the file is named as wordcounter.py ensure that you use the correct. Next, open up a text editor to your project location and create a new Python file. Note that while you might not have need for a word count, it's how the idea relates to code reusability that matters for this explanation. Generally, you can find a word count by adding one to the number of spaces in a sentence. Mem_leak_info->mem_info.line = alloc_info.As a good practice, to create the word counter function, we first try to figure out a raw formula for calculating it. Strcpy(mem_leak_info->mem_info.file_name, alloc_info.file_name) Mem_leak_info->mem_info.size = alloc_info.size Mem_leak_info->mem_info.address = alloc_info.address Mem_leak_info = (MEM_LEAK *) malloc ( sizeof(MEM_LEAK)) You can also use #pragma exit directive instead of atexit(). The line " atexit(report_mem_leak)" registers the report_mem_leak() function to be called at the end of the program and this function writes the memory leak summary into the leak_info.txt file. While the code calls the free() function, it actually calls our xfree() and we manage to do the cleanup task (remove the entry of the allocated memory from the list and free up the allocated memory).Īt the end of the program, we can get the unallocated memory references from the list. Set this to False if you are not using file paths (optional) Demo: from derunner import code sourcecode 'path-to/testpython.py' language 'Python3. While calling malloc(), our xmalloc() is called and we keep all information of the allocated memory (like the address, size, file name and line number) in a linked list. The leak_detctor_c.h file contains some macros and the preprocessor replaces the call of malloc, calloc and free functions with xmalloc, xcalloc and xfree respectively. Now let's have a look into the code and see how it works. If you have multiple source files, you can add the header file in all the files where you want to detect possible memory leak and compile the program as above. The output shows the file name and line number which causes the memory leak and now you can free the unallocated memory.
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