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makefile.py
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195 lines (173 loc) · 9.73 KB
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# -*- coding: utf-8 -*-
"""
Created on Tue Sep 10 10:10:01 2013
@author: kundlj
"""
from builddict import build_dict
from sys import exit
def makefile(test_type, savename, dirname):
if test_type == 'audio' or test_type == 'gonogo':
pass
else:
print 'Error: Usage: test-type <audio | gonogo> output-name dir-name'
exit(1)
savename_subject = savename[:savename.find('.')] + '-by_subject.csv'
savename_evaluation = savename[:savename.find('.')] + '-by_evaluation.csv'
data, numbers = build_dict(test_type, dirname)
num_conditions = len(data.keys())
num_subjects = numbers[0]
num_sessions = numbers[1]
num_trials = numbers[2]
data_array = [-1] * num_conditions
for x in range(num_conditions):
data_array[x] = [-1] * num_subjects
for y in range(num_subjects):
data_array[x][y] = [-1] * num_sessions
for z in range(num_sessions):
data_array[x][y][z] = [-1] * num_trials
condition_num = 0
conditions = ['NULL'] * num_conditions
for condition_key in data.keys():
conditions[condition_num] = condition_key
for subject_key in data[condition_key].keys():
for session_key in data[condition_key][subject_key].keys():
for trial_key in data[condition_key][subject_key][session_key].keys():
if data[condition_key][subject_key][session_key].has_key(trial_key):
data_array[condition_num][int(subject_key) - 1][int(session_key) - 1][int(trial_key) - 1] = \
data[condition_key][subject_key][session_key][trial_key]
condition_num += 1
if num_trials % 2 == 0:
pre_num = num_trials / 2 - 1
post_num = num_trials / 2
else:
pre_num = post_num = num_trials / 2
with open(savename_subject, 'w') as file_pointer:
for itr0 in range(len(data_array)):
file_pointer.write('Condition: ' + conditions[itr0] + '\n\n')
for itr1 in range(len(data_array[itr0]) - num_subjects, len(data_array[itr0])):
file_pointer.write('Subject ' + str(itr1 + 1) + ':\n,')
for itr2 in range(len(data_array[itr0][itr1])):
for count in range(pre_num):
file_pointer.write(',')
file_pointer.write('Session ' + str(itr2 + 1) + ',')
for count in range(post_num):
file_pointer.write(',')
file_pointer.write('\n,')
for itr2 in range(len(data_array[itr0][itr1])):
for itr3 in range(len(data_array[itr0][itr1][itr2])):
file_pointer.write('Trial ' + str(itr3 + 1) + ',')
file_pointer.write('\nValid Median,')
for itr2 in range(len(data_array[itr0][itr1])):
for itr3 in range(len(data_array[itr0][itr1][itr2])):
if type(data_array[itr0][itr1][itr2][itr3]) is list:
file_pointer.write(str(data_array[itr0][itr1][itr2][itr3][0]))
file_pointer.write(',')
file_pointer.write('\n')
file_pointer.write('Valid Mean,')
for itr2 in range(len(data_array[itr0][itr1])):
for itr3 in range(len(data_array[itr0][itr1][itr2])):
if type(data_array[itr0][itr1][itr2][itr3]) is list:
file_pointer.write(str(data_array[itr0][itr1][itr2][itr3][1]))
file_pointer.write(',')
file_pointer.write('\n')
file_pointer.write('Percent Missed,')
for itr2 in range(len(data_array[itr0][itr1])):
for itr3 in range(len(data_array[itr0][itr1][itr2])):
if type(data_array[itr0][itr1][itr2][itr3]) is list:
file_pointer.write(str(data_array[itr0][itr1][itr2][itr3][2]) + '%')
file_pointer.write(',')
file_pointer.write('\n')
file_pointer.write('Percent False,')
for itr2 in range(len(data_array[itr0][itr1])):
for itr3 in range(len(data_array[itr0][itr1][itr2])):
if type(data_array[itr0][itr1][itr2][itr3]) is list:
file_pointer.write(str(data_array[itr0][itr1][itr2][itr3][3]) + '%')
file_pointer.write(',')
file_pointer.write('\n')
file_pointer.write('Error Rate,')
for itr2 in range(len(data_array[itr0][itr1])):
for itr3 in range(len(data_array[itr0][itr1][itr2])):
if type(data_array[itr0][itr1][itr2][itr3]) is list:
file_pointer.write(str(data_array[itr0][itr1][itr2][itr3][4]))
file_pointer.write(',')
file_pointer.write('\n')
file_pointer.write('Worst Median,')
for itr2 in range(len(data_array[itr0][itr1])):
for itr3 in range(len(data_array[itr0][itr1][itr2])):
if type(data_array[itr0][itr1][itr2][itr3]) is list:
file_pointer.write(str(data_array[itr0][itr1][itr2][itr3][5]))
file_pointer.write(',')
file_pointer.write('\n')
file_pointer.write('Worst Mean,')
for itr2 in range(len(data_array[itr0][itr1])):
for itr3 in range(len(data_array[itr0][itr1][itr2])):
if type(data_array[itr0][itr1][itr2][itr3]) is list:
file_pointer.write(str(data_array[itr0][itr1][itr2][itr3][6]))
file_pointer.write(',')
file_pointer.write('\n')
file_pointer.write('Best Median,')
for itr2 in range(len(data_array[itr0][itr1])):
for itr3 in range(len(data_array[itr0][itr1][itr2])):
if type(data_array[itr0][itr1][itr2][itr3]) is list:
file_pointer.write(str(data_array[itr0][itr1][itr2][itr3][7]))
file_pointer.write(',')
file_pointer.write('\n')
file_pointer.write('Best Mean,')
for itr2 in range(len(data_array[itr0][itr1])):
for itr3 in range(len(data_array[itr0][itr1][itr2])):
if type(data_array[itr0][itr1][itr2][itr3]) is list:
file_pointer.write(str(data_array[itr0][itr1][itr2][itr3][8]))
file_pointer.write(',')
file_pointer.write('\n')
file_pointer.write('Worst Throughput,')
for itr2 in range(len(data_array[itr0][itr1])):
for itr3 in range(len(data_array[itr0][itr1][itr2])):
if type(data_array[itr0][itr1][itr2][itr3]) is list:
file_pointer.write(str(data_array[itr0][itr1][itr2][itr3][9]))
file_pointer.write(',')
file_pointer.write('\n')
file_pointer.write('Best Throughput,')
for itr2 in range(len(data_array[itr0][itr1])):
for itr3 in range(len(data_array[itr0][itr1][itr2])):
if type(data_array[itr0][itr1][itr2][itr3]) is list:
file_pointer.write(str(data_array[itr0][itr1][itr2][itr3][10]))
file_pointer.write(',')
file_pointer.write('\n\n')
file_pointer.write('\n')
metrics = ['Valid Median', 'Valid Mean', 'Percent Missed', 'Percent False', 'Error Rate', \
'Top Median', 'Top Mean', 'Bottom Median', 'Bottom Mean', 'Top Throughput', 'Bottom Throughput' ]
metric_num = 0
with open(savename_evaluation, 'w') as file_pointer:
for itr0 in range(len(data_array)):
file_pointer.write('Condition: ' + conditions[itr0] + '\n\n')
for metric in metrics:
file_pointer.write(metric + ':\n,')
for itr1 in range(num_sessions):
for count in range(pre_num):
file_pointer.write(',')
file_pointer.write('Session ' + str(itr1 + 1) + ',')
for count in range(post_num):
file_pointer.write(',')
file_pointer.write('\n,')
for itr1 in range(num_sessions):
for itr2 in range(num_trials):
file_pointer.write('Trial ' + str(itr2 + 1) + ',')
file_pointer.write('\n')
for itr2 in range(len(data_array[itr0]) - num_subjects, len(data_array[itr0])):
file_pointer.write('Subject: ' + str(itr2 + 1) + ',')
session_loc = trial_loc = 0
for itr3 in range(num_sessions):
for itr4 in range(num_trials):
if type(data_array[itr0][itr2][session_loc][trial_loc]) is list:
if metric_num == 2 or metric_num == 3:
file_pointer.write(str(data_array[itr0][itr2][session_loc][trial_loc][metric_num]) + '%')
else:
file_pointer.write(str(data_array[itr0][itr2][session_loc][trial_loc][metric_num]))
file_pointer.write(',')
trial_loc += 1
session_loc += 1
trial_loc = 0
file_pointer.write('\n')
metric_num += 1
file_pointer.write('\n')
metric_num = 0