old_contents: import pandas as pd
  import shutil
  import utils as u
  import validators
  from analyzer import Analyzer
  from git import Repo
  
  if __name__ == "__main__":
  
      repos = pd.read_pickle("data/test.pkl")
  
      for _, repo in repos.iterrows():
          if not validators.url(repo["url"]):
              print("Error: Invalid URL.")
              exit(1)
  
          project_name = u.get_name_from_url(repo["url"])
          print("Cloning {}...".format(project_name))
          Repo.clone_from(repo["url"], project_name)
  
          print("Analyzing...")
          analyzer = Analyzer(project_name)
          code_counts, test_counts = analyzer.run()
          print(code_counts)
          print(test_counts)
  
          shutil.rmtree(project_name)
  
new_contents: import pandas as pd
  import shutil
  import utils as u
  import validators
  from analyzer import Analyzer
  from git import Repo
  
  if __name__ == "__main__":
  
      repos = pd.read_pickle("data/repos.pkl")
      repos["code_lines"] = 0
      repos["code_classes"] = 0
      repos["code_functions"] = 0
      repos["test_lines"] = 0
      repos["test_classes"] = 0
      repos["test_functions"] = 0
  
      for i, repo in repos.iterrows():
          if not validators.url(repo["url"]):
              print("Error: Invalid URL.")
              exit(1)
  
          project_name = u.get_name_from_url(repo["url"])
          print("Cloning {}...".format(project_name))
          Repo.clone_from(repo["url"], project_name)
  
          print("Analyzing...")
          analyzer = Analyzer(project_name)
          code_counts, test_counts = analyzer.run()
          repos.set_value(i, "code_lines", code_counts["line_count"])
          repos.set_value(i, "code_classes", code_counts["class_count"])
          repos.set_value(i, "code_functions", code_counts["function_count"])
          repos.set_value(i, "test_lines", test_counts["line_count"])
          repos.set_value(i, "test_classes", test_counts["class_count"])
          repos.set_value(i, "test_functions", test_counts["function_count"])
  
          shutil.rmtree(project_name)
  
      repos.to_pickle("data/dataset.pkl")
  
subject: Update dataframe with counts and serialize