def test_opened_file(self):
"""!@brief Test if the output file is open
Using an assertRaises test, check if the file "output.csv" is opened and unable to be written.
@param self The object pointer.
"""
file_path = "output.csv"
sort_obj = lab5.Sort()
self.assertRaises(PermissionError, sort_obj.set_output_data, file_path)
def test_able_to_write(self):
sort_obj = lab5.Sort()
in_File = "input.csv"
out_file = "output.csv"
u_lists = sort_obj.set_input_data(in_File)
for unordered_list in u_lists:
sort_obj.ordered.append(sort_obj.execute_bubble_sort(unordered_list))
sort_obj.set_output_data(out_file)
self.assertTrue(os.path.isfile(out_file))
os.startfile(out_file)
def test_try_to_break(self):
sort_obj = lab5.Sort()
u_lists = sort_obj.set_input_data("input.csv")
for x in u_lists[0:len(u_lists) - 2]:
for algorithm in ['bubble',
'merge',
'heap',
'quick']:
function_name = eval('sort_obj.execute_' + algorithm + '_sort')
sort_obj.ordered.append(function_name(x))
def test_file_not_found(self):
"""!@brief Test the existences of a file
Tries to open a file named: "file.csv" if it doesn't exist will raise a ValuerError error. This will be
checked using an assertRaises test.
@param self The object pointer.
"""
file_path = "file.csv"
sort_obj = lab5.Sort()
self.assertRaises(ValueError, sort_obj.set_input_data, file_path)
def test_quick_sort_correctness(self):
"""!@brief Test quick sort algorithm correctness
Obtains a list of lists retrieved from "input.csv" file. Then, for each list, it runs an assertEqual test
between the result of execute_quick_sort() function and built-in sorted() function.
@param self The object pointer.
"""
sort_obj = lab5.Sort()
u_lists = sort_obj.set_input_data("input.csv")
for unordered_list in u_lists:
self.assertEqual(sort_obj.execute_heap_sort(unordered_list),
sorted(unordered_list))
def test_try_to_break(self):
"""!@brief Test the the correctness of various sort algorithms
Obtains a list of lists retrieved from "input.csv" file. Then, for each list, it executes four different
sorting algorithms (bubble sort, merge sort, heap sort, quick sort). Using an assertEqual test it compares the
obtained result vs the built in sorted() function.
@param self The object pointer.
"""
sort_obj = lab5.Sort()
u_lists = sort_obj.set_input_data("input.csv")
for unordered_list in u_lists:
for algorithm in ['bubble', 'merge', 'heap', 'quick']:
function_name = eval('sort_obj.execute_' + algorithm + '_sort')
self.assertEqual(function_name(unordered_list),
sorted(unordered_list))
def test_performance(self):
sort_obj = lab5.Sort()
u_lists = sort_obj.set_input_data("input.csv")
for algorithm in ['bubble',
'merge',
'heap',
'quick']:
function_name = eval('sort_obj.execute_' + algorithm + '_sort')
sort_obj.list_len = len(u_lists[19])
sort_obj.start_time = datetime.now()
sort_obj.ordered.append(function_name(u_lists[19]))
sort_obj.end_time = datetime.now()
sort_obj.algorithm = algorithm + " Sort"
stats = sort_obj.get_performance_data(sort_obj.list_len, sort_obj.start_time, sort_obj.end_time,
sort_obj.algorithm)
sort_obj.print_stats(stats)
def test_able_to_write(self):
"""!@brief Test if its able to write a file
Obtains a list of lists retrieved from "input.csv" file. For each list, it runs execute_bubble_sort()
function and store its result in the "ordered" attribute of the class Sort. Then it writes the contents of
"ordered" into "output.csv". With and assertTrue test, checks if "output.csv" exists and finally, at OS level
it opens "output.csv".
@param self The object pointer.
"""
sort_obj = lab5.Sort()
in_File = "input.csv"
out_file = "output.csv"
u_lists = sort_obj.set_input_data(in_File)
for unordered_list in u_lists:
sort_obj.ordered.append(
sort_obj.execute_bubble_sort(unordered_list))
sort_obj.set_output_data(out_file)
self.assertTrue(os.path.isfile(out_file))
os.startfile(out_file)
def test_performance(self):
"""!@brief Test the performance of various sort algorithms
Obtains a list of lists retrieved from "input.csv" file. Then, for each list, it executes four different
sorting algorithms (bubble sort, merge sort, heap sort, quick sort), calls get_performance_data and stores the
results in "stats". Finally this data is printed out to console using the "print_stats" function.
@param self The object pointer.
"""
sort_obj = lab5.Sort()
u_lists = sort_obj.set_input_data("input.csv")
for algorithm in ['bubble', 'merge', 'heap', 'quick']:
function_name = eval('sort_obj.execute_' + algorithm + '_sort')
sort_obj.list_len = len(u_lists[19])
sort_obj.start_time = datetime.now()
sort_obj.ordered.append(function_name(u_lists[19]))
sort_obj.end_time = datetime.now()
sort_obj.algorithm = algorithm + " Sort"
stats = sort_obj.get_performance_data(sort_obj.list_len,
sort_obj.start_time,
sort_obj.end_time,
sort_obj.algorithm)
sort_obj.print_stats(stats)
def test_file_not_found(self):
file_path = "file.csv"
sort_obj = lab5.Sort()
self.assertRaises(ValueError, sort_obj.set_input_data, file_path)
def test_opened_file(self):
file_path = "output.csv"
sort_obj = lab5.Sort()
self.assertRaises(PermissionError, sort_obj.set_output_data, file_path)
def test_bubble_sort_correctness(self):
sort_obj = lab5.Sort()
u_lists = sort_obj.set_input_data("input.csv")
for unordered_list in u_lists:
self.assertEqual(sort_obj.execute_bubble_sort(unordered_list), sorted(unordered_list))
