How to use the pytesseract.get_tesseract_version function in pytesseract

if numpy_installed:
    import numpy as np

if pandas_installed:
    import pandas

try:
    from PIL import Image
except ImportError:
    import Image


IS_PYTHON_2 = version_info[:1] < (3, )
IS_PYTHON_3 = not IS_PYTHON_2

TESSERACT_VERSION = tuple(get_tesseract_version().version)  # to skip tests

DATA_DIR = path.join(path.dirname(path.abspath(__file__)), 'data')
TEST_JPEG = path.join(DATA_DIR, 'test.jpg')

pytestmark = pytest.mark.pytesseract  # used marker for the module


@pytest.fixture(scope='session')
def test_file():
    return TEST_JPEG


@pytest.fixture(scope='session')
def test_file_european():
    return path.join(DATA_DIR, 'test-european.jpg')

k: v for k, v in vars(settings).items() if k not in data["BOT_SETTINGS"] and any(char.isupper() for char in k)
        })

        # Retrieve the users last session (if one exists), and place that json representation
        # into our dictionary as well.
        session = Session.objects.all().order_by("-start")
        if session.count() > 0:
            data["LAST_SESSION"] = session.first().json()

        # Including some miscellaneous information that can be added to
        # and used to include some useful variables.
        try:
            data["MISCELLANEOUS"].update({
                "tesseract": {
                    "path": settings.TESSERACT_COMMAND,
                    "version": pytesseract.get_tesseract_version().vstring,
                }
            })
        except Exception:
            pass

        # We also include some generic data from the users information as well.
        # Each instance available may contain different pieces fo information.
        # --------------------------------------------------------------------
        for instance in BotInstance.objects.all():
            # ARTIFACTS.
            data["ARTIFACTS"][instance.name] = ArtifactStatistics.objects.grab(instance=instance).json()
            # STATISTICS.
            data["STATISTICS"][instance.name] = Statistics.objects.grab(instance=instance).json()

        for configuration in Configuration.objects.all():
            data["CONFIGURATIONS"][configuration.name] = configuration.json(condense=True, hide_sensitive=True)

def extract_time(video,ocr_bool,file_bool,log):
   
   print(pytesseract.get_tesseract_version())
   threshold_error=timedelta(hours=1,minutes=0)
   ocr_time_failed=False;
   file_time_failed=False;
   file_name_time=None;
   file_name_date=None;
   fps=None;
   default_time=timedelta(hours=9,minutes=0)
   default_date="2020-05-28"
    
   try: 
     file_name_date,file_name_time=extract_date(video)
   except Exception as e:
       log.write("ERROR in extracting the date-time from the file_name\n")
       log.write(str(e)+"\n")
       file_time_failed=True;

print("")
    print("Version: " + mss.__version__)
    print("")
    print(bcolors.BOLD + bcolors.OKGREEN + "MSS working correctly." + bcolors.ENDC)


print(
    "_____________________________________________________________________________________"
)
print("")
print(bcolors.OKBLUE + "Testing Pytesseract" + bcolors.ENDC)
print("")

try:
    print("pytesseract.get_tesseract_version()")
    print(pytesseract.get_tesseract_version())
except (IOError, OSError) as e:
    print(bcolors.FAIL + "ERROR" + bcolors.ENDC)
    print(e)
else:
    print("")
    print(
        bcolors.BOLD + bcolors.OKGREEN + "Pytesseract working correctly." + bcolors.ENDC
    )

def extract_time(video,ocr_bool,file_bool,log):
   
   print(pytesseract.get_tesseract_version())
   threshold_error=timedelta(hours=1,minutes=0)
   ocr_time_failed=False;
   file_time_failed=False;
   file_name_time=None;
   file_name_date=None;
   default_time=timedelta(hours=9,minutes=0)
   default_date="2020-05-28"
    
   try: 
     file_name_date,file_name_time=extract_date(video)
   except Exception as e:
       log.write("ERROR in extracting the date-time from the file_name\n")
       log.write(f"{e}\n")
       file_time_failed=True;

   try: