Testing Safe Pickle Serialization for LaTeX Processing in gpt_academic
This test suite validates the safe pickle serialization and deserialization functionality in the GPT Academic project, focusing on handling LaTeX paper file groups and ensuring proper path validation.
Test Coverage Overview
Implementation Analysis
Technical Details
Best Practices Demonstrated
binary-husky/gpt_academic
tests/test_safe_pickle.py
def validate_path():
import os, sys
os.path.dirname(__file__)
root_dir_assume = os.path.abspath(os.path.dirname(__file__) + "/..")
os.chdir(root_dir_assume)
sys.path.append(root_dir_assume)
validate_path() # validate path so you can run from base directory
from crazy_functions.latex_fns.latex_pickle_io import objdump, objload
from crazy_functions.latex_fns.latex_actions import LatexPaperFileGroup, LatexPaperSplit
pfg = LatexPaperFileGroup()
pfg.get_token_num = None
pfg.target = "target_elem"
x = objdump(pfg)
t = objload()
print(t.target)