def main():
start_time = time.time()
if "download" in sys.argv:
# download raw data from server
raw_filenames = download_data(dates_to_download)
print(
"\n\nfinished downloading data, ending. please gzip the data, then run group, process, and clean."
)
return
if "group" in sys.argv:
# Group available data by day
group_by_hour()
print(
"\n\nfinished grouping data, ending. Next, run process, and clean."
)
return
if "process" in sys.argv:
process_proximity()
print('completed processing!')
if "clean" in sys.argv:
# clean up the data
clean_up_data()
if "analysis" in sys.argv:
# create the analysis dataframes
analyze_data()
if "help" in sys.argv or len(sys.argv) == 1:
print(
"Please use arguments 'download', 'group', 'process', or 'clean'.")
print("Total runtime: %s seconds" % (time.time() - start_time))
def main():
if param['disable_calibration'] == 0:
print('\nCCD CALIBRATION:\n')
calibration.calibrate_data()
print('\nCalibration successfully completed.')
if param['disable_analysis'] == 0:
print('\n----------------------------------------')
print('\nDATA ANALYSIS:\n')
analysis.analyze_data()
print('Data analysis successfully completed.')
if param['disable_plots'] == 0:
print('\n----------------------------------------')
print('\nPLOTTING:\n')
plots.make_plots()
print('Plotting successfully completed.')
def main(d):
(first_party_info, other_files, sdks, third_party_info, e) = \
load_data(d)
eel.analyzingData()
(practices_results, _, thirdParty_results) = \
analyze_data(first_party_info, other_files, sdks, third_party_info, e)
eel.preparingPoicy()
(practices, sdks, thirdPartyAnalysis) = \
configure_data(practices_results, thirdParty_results)
return [practices, sdks, thirdPartyAnalysis]
from analysis import analyze_data
from analysis import estimate_system
initial, p, final, Tr, Tp, percentOS, Ts = analyze_data('data1.csv')
m, k, c = estimate_system('data1.csv')
print(initial)
print(p)
print(final)
print(Tr)
print(Tp)
print(percentOS)
print(Ts)
print(p)
print(m)
print(k)
print(c)