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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

The test coverage focuses on validating path configurations and pickle operations for LaTeX document processing.

Key functionality tested includes:
  • Path validation and directory setup
  • Object serialization with objdump
  • Object deserialization with objload
  • LaTeX paper file group handling
Integration points cover system path configuration and LaTeX processing components.

Implementation Analysis

The testing approach implements a straightforward validation of pickle operations using the LatexPaperFileGroup class. The test utilizes Python’s os and sys modules for path manipulation, demonstrating integration between file system operations and object serialization.

Key patterns include:
  • Directory path normalization
  • System path configuration
  • Object state preservation
  • Custom serialization handlers

Technical Details

Testing tools and components:
  • Python’s os and sys modules for path handling
  • Custom pickle implementation (objdump/objload)
  • LatexPaperFileGroup class for document management
  • Root directory path validation

Best Practices Demonstrated

The test demonstrates robust path handling and serialization practices, ensuring safe object persistence across the application.

Notable practices include:
  • Explicit path validation
  • Proper working directory management
  • Separation of serialization concerns
  • Clean object state handling

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)