def test_open_test_file(self):
expected = [[100.0, 0], [90.0, 10], [80.0, 15], [70.0, 50], [60.0, 80], [50.0, 100], [40.0, 80],
[30.0, 45], [20.0, 35], [10.0, 15], [0.0, 5]]
actual = pixel_to_embryo_length.pixel_to_embryo_length(csv_functions.csv_open('test_1.csv'))
self.assertEqual(expected, actual)
expected = [[100.0, 0], [90.0, 20], [80.0, 30], [70.0, 100], [60.0, 160], [50.0, 200],
[40.0, 160], [30.0, 90], [20.0, 70], [10.0, 30], [0.0, 10]]
actual = pixel_to_embryo_length.pixel_to_embryo_length(csv_functions.csv_open('test_2.csv'))
self.assertEqual(expected, actual)
def test_stdev(self):
file1 = csv_functions.csv_open('test_1.csv')
file2 = csv_functions.csv_open('test_2.csv')
file_list = [pixel_to_embryo_length.pixel_to_embryo_length(file1),
pixel_to_embryo_length.pixel_to_embryo_length(file2)]
expected = 56.994056802640
actual = round(stats.st_dev(file_list)[2], 12)
self.assertEqual(expected, actual)
def test_averager(self):
file_list = [
pixel_to_embryo_length.pixel_to_embryo_length(
csv_functions.csv_open('test_1.csv')),
pixel_to_embryo_length.pixel_to_embryo_length(
csv_functions.csv_open('test_2.csv'))
]
actual = _averager.averager(file_list)
expected = [[100.0, 150], [90.0, 135], [80.0, 127.5], [70.0, 75],
[60.0, 30], [50.0, 0], [40.0, 30], [30.0, 82.5],
[20.0, 97.5], [10.0, 127.5], [0.0, 142.5]]
self.assertEqual(expected, actual)
def test_open_test_file(self):
expected = [['X', 'Y'], ['0', '0'], ['1', '10'], ['2', '15'],
['3', '50'], ['4', '80'], ['5', '100'], ['6', '80'],
['7', '45'], ['8', '35'], ['9', '15'], ['10', '5']]
actual = csv_functions.csv_open('test_1.csv')
self.assertEqual(expected, actual)
expected = [['X', 'Y'], ['0', '0'], ['1', '20'], ['2', '30'],
['3', '100'], ['4', '160'], ['5', '200'], ['6', '160'],
['7', '90'], ['8', '70'], ['9', '30'], ['10', '10']]
actual = csv_functions.csv_open('test_2.csv')
self.assertEqual(expected, actual)
def test_percentify(self):
expected = [[100.0, 0.0], [90.0, 10.0], [80.0, 15.0], [70.0, 50.0],
[60.0, 80.0], [50.0, 100.0], [40.0, 80.0], [30.0, 45.0],
[20.0, 35.0], [10.0, 15.0], [0.0, 5.0]]
actual = csv_functions.csv_open('test_1.csv')
actual = pixel_to_embryo_length.pixel_to_embryo_length(actual)
percentify.percentify(actual)
self.assertEqual(expected, actual)
expected = [[100.0, 0.0], [90.0, 10.0], [80.0, 15.0], [70.0, 50.0],
[60.0, 80.0], [50.0, 100.0], [40.0, 80.0], [30.0, 45.0],
[20.0, 35.0], [10.0, 15.0], [0.0, 5.0]]
actual = csv_functions.csv_open('test_2.csv')
actual = pixel_to_embryo_length.pixel_to_embryo_length(actual)
percentify.percentify(actual)
self.assertEqual(expected, actual)
def test_normalizer(self):
norm_file = csv_functions.csv_open('test_norm.csv')
expected = [[100.0, 0], [90.0, 5], [80.0, 7.5], [70.0, 25], [60.0, 40],
[50.0, 50], [40.0, 40], [30.0, 22.5], [20.0, 17.5],
[10.0, 7.5], [0.0, 2.5]]
actual = csv_functions.csv_open('test_1.csv')
actual = pixel_to_embryo_length.pixel_to_embryo_length(actual)
normalizer.normalize(actual, norm_file)
self.assertEqual(expected, actual)
expected = [[100.0, 0], [90.0, 4], [80.0, 6], [70.0, 20], [60.0, 32],
[50.0, 40], [40.0, 32], [30.0, 18], [20.0, 14], [10.0, 6],
[0.0, 2]]
actual = csv_functions.csv_open('test_2.csv')
actual = pixel_to_embryo_length.pixel_to_embryo_length(actual)
normalizer.normalize(actual, norm_file)
self.assertEqual(expected, actual)
def main():
while True: # main loop
file_list = list()
file_path = ''
# user input section
while True: # file paths loop
try:
while True: # asking for file paths loop
file_path = input(
f'\nEnter path to File {len(file_list) + 1}' +
'\n(Press Enter when done or \'restart\' to restart):')
file_list.append(csv_functions.csv_open(file_path))
except FileNotFoundError:
if file_path != '' and file_path.lower() != 'restart':
print('\nFile not found, recheck name or path')
finally:
if file_path.lower() == 'restart':
print('restarting... \n\n\n')
os.execl(sys.executable, os.path.abspath(__file__),
*sys.argv)
if file_path == '':
print('All Files Selected')
break
while True: # asking for normalization loop
answer_norm = input(
'\nWould you like to normalize your file? (y/n)')
if answer_norm in ('y', 'n'):
break
else:
print('\nPlease enter either \'y\' (yes) or \'n\' (no)')
continue
file_norm = ''
if answer_norm == 'y': # opening normalizing file
while True: # asking for normalizing file path loop
file_norm = input('\nName or Path of File to Normalize to?')
try:
file_norm = csv_functions.csv_open(
file_norm
) # file_norm is a list of every line in the file (also a list) (a list of lists)
break
except FileNotFoundError:
print('\nFile not found, recheck name or path')
continue
while True: # asking for percentify loop
answer_percentify = input(
"\nWould you like to percentify your file? (y/n)")
if answer_percentify in ('y', 'n'):
break
else:
print('\nPlease enter either \'y\' (yes) or \'n\' (no)')
continue
# analysis section
start_time = time.process_time()
ret_list = list()
for file in file_list: # normalization and percentification
ret_file = pixel.pixel_to_embryo_length(file)
if answer_norm == 'y':
normalizer.normalize(ret_file, file_norm)
if answer_percentify == 'y':
percentify.percentify(ret_file)
ret_list.append(ret_file)
ret_list = averager.averager(ret_list)
stop_time = time.process_time()
print('\nFinished in', round((stop_time - start_time), 5), 'seconds!')
if len(file_list) == 0:
print('\nIf you didn\'t want to do anything, why did you run me?')
sys.exit()
# final section
new_name = input('New .csv file name?')
while True:
new_path = input('\nPath to new .csv file?')
try:
if new_name[-1] == "/":
csv_functions.make_new_csv(new_path + new_name, ret_list)
else:
csv_functions.make_new_csv(new_path + "/" + new_name,
ret_list)
print(f'File {new_name} created at {new_path}')
break
except:
print('Error creating new .csv, try different path')
while True: # asking to continue loop
answer_continue = input('\nDo you have more to analyze (y/n): ')
if answer_continue in ('y', 'n'):
break
else:
print('\nPlease enter either y (yes) or n (no)')
continue
if answer_continue == 'n':
print('\nGoodbye')
sys.exit()