diff --git a/cp/ex07/__init__.py b/cp/ex07/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..c9bf24e54d475806d511254e677f9f48d430f544 --- /dev/null +++ b/cp/ex07/__init__.py @@ -0,0 +1 @@ +"""DO NOT EDIT/ADD TO THIS FILE.""" diff --git a/cp/ex07/astronomical_season.py b/cp/ex07/astronomical_season.py new file mode 100644 index 0000000000000000000000000000000000000000..f2af15b2c676c5f490bc02ed0ded29060b9bda74 --- /dev/null +++ b/cp/ex07/astronomical_season.py @@ -0,0 +1,9 @@ +"""Exercise 7.9: Astronomical season.""" + +def astronomical_season(date : tuple) -> str: + """Return the astronomical season of the given date. + + :param date: Tuple with the given date. + :return: String with astronomical season + """ + # TODO: Code has been removed from here. diff --git a/cp/ex07/box_packing.py b/cp/ex07/box_packing.py new file mode 100644 index 0000000000000000000000000000000000000000..0ebeb4f3c6b63a3a28427c4c328b26b558dc2daf --- /dev/null +++ b/cp/ex07/box_packing.py @@ -0,0 +1,10 @@ +"""Exercise 7.5: Box packing.""" + +def box_packing(object : tuple, box : tuple)-> tuple: + """Return the amount of object sticking in each dimension, or zero if sufficient space. + + :param object: Tuple (h,w) the dimensions of the object + :param box: Tuple (H, W) the dimensions of the box. + :return: Tuple + """ + # TODO: Code has been removed from here. diff --git a/cp/ex07/code_shift.py b/cp/ex07/code_shift.py new file mode 100644 index 0000000000000000000000000000000000000000..9022f6ad0df4819d4885d2ddba81dd077501dfbf --- /dev/null +++ b/cp/ex07/code_shift.py @@ -0,0 +1,11 @@ +"""Exercise 7.7: Code shift.""" + +def code_shift(code : tuple, turn : tuple) -> tuple: + """Return the updated code pattern. + + :param code: Tuple with the initial code in the lock + :param turn: Tuple with the turn on each lock dial + :return: Updated lock code. + """ + # TODO: Code has been removed from here. + diff --git a/cp/ex07/have_equal_length.py b/cp/ex07/have_equal_length.py new file mode 100644 index 0000000000000000000000000000000000000000..7ab54afffceeb5fd293f425eea672aa7ac1e3055 --- /dev/null +++ b/cp/ex07/have_equal_length.py @@ -0,0 +1,10 @@ +"""Exercise 7.1: Have equal length.""" + +def have_equal_length(a : tuple, b : tuple) -> bool: + """Check whether two tuples have equal length. + + :param a: Tuple. + :param b: Tuple. + :return: A boolean value. + """ + # TODO: Code has been removed from here. diff --git a/cp/ex07/last_difference.py b/cp/ex07/last_difference.py new file mode 100644 index 0000000000000000000000000000000000000000..9c8b7592f29f28f494f618c47aba54d47f6d4288 --- /dev/null +++ b/cp/ex07/last_difference.py @@ -0,0 +1,10 @@ +"""Exercise 7.3: Last difference.""" + +def last_difference(a : tuple, b : tuple) -> float: + """Return the difference between last elements regardless of length. + + :param a: The first tuple. + :param b: The second tuple. + :return: The difference between the last elements of the two tuples. + """ + # TODO: Code has been removed from here. diff --git a/cp/ex07/morse_to_text.py b/cp/ex07/morse_to_text.py new file mode 100644 index 0000000000000000000000000000000000000000..13540a7e497dcd4dbf1c2d555f3306912b21bd00 --- /dev/null +++ b/cp/ex07/morse_to_text.py @@ -0,0 +1,9 @@ +"""Exercise 7.8: Morse code.""" + +def morse_to_text(morse_code : str) -> str: + """Return the extracted message from its Morse code. + + :param morse_code: String with the initial message encoded in Morse. + :return: The decoded message. + """ + # TODO: Code has been removed from here. diff --git a/cp/ex07/returning_multiple_values.py b/cp/ex07/returning_multiple_values.py new file mode 100644 index 0000000000000000000000000000000000000000..30fc41ce4708c5ce4b77523fe42a63e87dd4a924 --- /dev/null +++ b/cp/ex07/returning_multiple_values.py @@ -0,0 +1,11 @@ +"""Exercise 7.4: Returning multiple values.""" + + +def returning_multiple_values(values: list, threshold: int) -> tuple: + """Return a tuple containing a list of all elements in the list that are greater than the threshold and the minimum of the values. + + :param values: A list of integers. + :param threshold: An integer. + :return: A tuple containing the a list of elements that are greater than the threshold and the minimum of values + """ + # TODO: Code has been removed from here. diff --git a/cp/ex07/rgb_to_hue.py b/cp/ex07/rgb_to_hue.py new file mode 100644 index 0000000000000000000000000000000000000000..04756e033bd93a97b7720ba35c38a21e73398bca --- /dev/null +++ b/cp/ex07/rgb_to_hue.py @@ -0,0 +1,9 @@ +"""Exercise 7.4: Color Hue.""" + +def rgb_to_hue(RGB: tuple) -> float: + """Return the hue given RGB values. + + :param RGB: Tuple containing three RGB values. + :return: Hue in degrees. + """ + # TODO: Code has been removed from here. diff --git a/cp/project3/project3_grade.py b/cp/project3/project3_grade.py index 6b6263fe7569962ce982f3528d4cc3b0c39b6d56..6c633f6294a78b43539c2d8fca2f2fa609b0ff01 100644 --- a/cp/project3/project3_grade.py +++ b/cp/project3/project3_grade.py @@ -1,4 +1,4 @@ # cp/project3/project3_tests.py ''' WARNING: Modifying, decompiling or otherwise tampering with this script, it's data or the resulting .token file will be investigated as a cheating attempt. ''' import bz2, base64 -exec(bz2.decompress(base64.b64decode('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'))) \ No newline at end of file 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'))) \ No newline at end of file diff --git a/cp/project3/unitgrade_data/WaterHeight.pkl b/cp/project3/unitgrade_data/WaterHeight.pkl index 6559dbd3facce8c61522e5566fcb10e345df7019..bfb95827ccfaac9879a8f110e6487ac7a235cbf4 100644 Binary files a/cp/project3/unitgrade_data/WaterHeight.pkl and b/cp/project3/unitgrade_data/WaterHeight.pkl differ diff --git a/cp/project3/unitgrade_data/Week05BestBuy.pkl b/cp/project3/unitgrade_data/Week05BestBuy.pkl index 0cff67b25d5c7a1ec3f01ef2ccd0a81af0b17883..df31f9337db85c9e073f3c8eb84e8d164c904c66 100644 Binary files a/cp/project3/unitgrade_data/Week05BestBuy.pkl and b/cp/project3/unitgrade_data/Week05BestBuy.pkl differ diff --git a/cp/project3/unitgrade_data/Week05TicTacToeGetGameState.pkl b/cp/project3/unitgrade_data/Week05TicTacToeGetGameState.pkl index 9fe34f0b30db7e7611dede929ab8b567baf65f8b..34f0a77de8cf829274e6287b90e5e67e5fc06f17 100644 Binary files a/cp/project3/unitgrade_data/Week05TicTacToeGetGameState.pkl and b/cp/project3/unitgrade_data/Week05TicTacToeGetGameState.pkl differ diff --git a/cp/project3/unitgrade_data/Week05TicTacToePrintBoard.pkl b/cp/project3/unitgrade_data/Week05TicTacToePrintBoard.pkl index 72371e0273fa45a6ed55cde9d7319051206b3ce7..06ac60f013a2ec7344491c9aee716ebbe7450e43 100644 Binary files a/cp/project3/unitgrade_data/Week05TicTacToePrintBoard.pkl and b/cp/project3/unitgrade_data/Week05TicTacToePrintBoard.pkl differ diff --git a/cp/project3/unitgrade_data/Week05TicTacToeUpdateBoard.pkl b/cp/project3/unitgrade_data/Week05TicTacToeUpdateBoard.pkl index 3d119cbc352b03977e69d6dace13d39ee8b425eb..22aecded3c9b02bfcfaccc0ff45ffc39b7aef69e 100644 Binary files a/cp/project3/unitgrade_data/Week05TicTacToeUpdateBoard.pkl and b/cp/project3/unitgrade_data/Week05TicTacToeUpdateBoard.pkl differ diff --git a/cp/project3/unitgrade_data/Week06MultiTap.pkl b/cp/project3/unitgrade_data/Week06MultiTap.pkl index 9261afe38325a958d1c437fb7b9a035c36553500..6c7dce7430d93618b430a1cbf3a250e3a0b9bffa 100644 Binary files a/cp/project3/unitgrade_data/Week06MultiTap.pkl and b/cp/project3/unitgrade_data/Week06MultiTap.pkl differ diff --git a/cp/project3/unitgrade_data/Week06SpellCheck.pkl b/cp/project3/unitgrade_data/Week06SpellCheck.pkl index f885829bba48187e95b52bb755a78e84371dc368..b3a399f2c9f0f9eb7c8ed6afda1334444736f71d 100644 Binary files a/cp/project3/unitgrade_data/Week06SpellCheck.pkl and b/cp/project3/unitgrade_data/Week06SpellCheck.pkl differ diff --git a/cp/tests/tests_week07.py b/cp/tests/tests_week07.py new file mode 100644 index 0000000000000000000000000000000000000000..ddd0a6d24b3ffe35f913b5a050bb06ffadcf2732 --- /dev/null +++ b/cp/tests/tests_week07.py @@ -0,0 +1,139 @@ +from unitgrade import Report +import cp +from unitgrade import UTestCase + + + +class Week07HaveEqualLength(UTestCase): + def test_equal_length_tuples(self): + from cp.ex07.have_equal_length import have_equal_length + self.assertIs(have_equal_length((1, 2, 3), (4, 5, 6)), True) + + def test_unequal_length_tuples(self): + from cp.ex07.have_equal_length import have_equal_length + self.assertIs(have_equal_length((1, 2, 3), (4, 5)), False) + + def test_empty_tuples(self): + from cp.ex07.have_equal_length import have_equal_length + self.assertIs(have_equal_length((), ()), True) + + def test_one_empty_tuple(self): + from cp.ex07.have_equal_length import have_equal_length + self.assertIs(have_equal_length((1, 2, 3), ()), False) + + def test_nested_tuples(self): + from cp.ex07.have_equal_length import have_equal_length + self.assertIs(have_equal_length((1, (2, 3), 4), (5, (6, 7), 8)), True) + +class Week07LastDifference(UTestCase): + + def test_last_element_difference(self): + from cp.ex07.last_difference import last_difference + self.assertEqual(last_difference((10, 7, 8, 20, 30.), (5, 15, 35.)), -5.0) + self.assertEqual(last_difference((1, 2, 3.), (4, 5, 6.)), -3.0) + +class Week07MultipleValues(UTestCase): + + def test_returning_multiple_values(self): + from cp.ex07.returning_multiple_values import returning_multiple_values + self.assertEqual(returning_multiple_values([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 5), ([6, 7, 8, 9, 10], 1)) + self.assertEqual(returning_multiple_values([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 10), ([], 1)) + self.assertEqual(returning_multiple_values([-1, 2, 3, 4, 5, 6, 7, 8, 9, 10], 0), ([2, 3, 4, 5, 6, 7, 8, 9, 10], -1)) + +class Week07BoxPacking(UTestCase): + def assertTupleAlmostEqual(self, first, second, places=None, msg=None, delta=None): + from cp.ex07.box_packing import box_packing + self.assertEqual(len(first), len(second)) + for a, b in zip(first, second): + self.assertAlmostEqual(a, b, places, msg, delta) + + + def test_box_packing(self): + from cp.ex07.box_packing import box_packing + self.assertTupleAlmostEqual(box_packing((2, 5), (4, 2.1)), (0, 2.9)) + self.assertTupleAlmostEqual(box_packing((4, 2.1), (5, 2)), (0, 0.1)) + self.assertTupleAlmostEqual(box_packing((4, 2.1), (5, 5)), (0, 0)) + self.assertTupleAlmostEqual(box_packing((4, 2.1), (1, 1.1)), (3, 1)) + self.assertTupleAlmostEqual(box_packing((2, 5), (2, 5)), (0, 0)) + self.assertTupleAlmostEqual(box_packing((5, 5), (2, 5)), (3, 0)) + +class Week07Hue(UTestCase): + def test_hue(self): + from cp.ex07.rgb_to_hue import rgb_to_hue + self.assertEqual(rgb_to_hue((0.6, 0.2, 0.3)), 345.0) + self.assertEqual(rgb_to_hue((0.3, 0.6, 0.2)), 105.0) + self.assertEqual(rgb_to_hue((0.1, 0.1, 0.2)), 240.0) + self.assertEqual(rgb_to_hue((0.2, 0.25, 0.3)), 210.0) + self.assertEqual(rgb_to_hue((0.9, 0.9, 0.3)), 60.) + self.assertEqual(rgb_to_hue((0.6, 0.8, 0.8)), 180.) + self.assertEqual(rgb_to_hue((1.0, 0.1, 0.1)), 0.0) + self.assertEqual(rgb_to_hue((0.7, 0.6, 0.7)), 300.0) + self.assertEqual(rgb_to_hue((0.5, 0.1, 0.6)), 288.0) + +class Week07CodeShift(UTestCase): + def test_code_shift(self): + from cp.ex07.code_shift import code_shift + turn = (1, 2, 3, 4) + result = code_shift((5, 3, 7, 2), turn) + self.assertEqual(result, (6, 5, 0, 6)) + turn = (-1, 2, -3, 4) + result = code_shift((2, 4, 8, 1), turn) + self.assertEqual(result, (1, 6, 5, 5)) + turn = (1, -2, 3, -4) + result = code_shift((9, 0, 2, 7), turn) + self.assertEqual(result, (0, 8, 5, 3) ) + +class Week07Morse(UTestCase): + def test_morse(self): + from cp.ex07.morse_to_text import morse_to_text + self.assertEqual(morse_to_text("-.. --- - ... .- -. -.. -.. .- ... .... . ... - . .-.. .-.. .- -. -.-. .. . -. - - .- .-.. . ..."), "DOTS AND DASHES TELL ANCIENT TALES") + self.assertEqual(morse_to_text(".. --. --- - --- - .... . -.. . -. - .. ... -"), "I GO TO THE DENTIST") + self.assertEqual(morse_to_text("- --- -.. .- -.-- .-- .- ... -.-. .-.. . .- .-."), "TODAY WAS CLEAR") + self.assertEqual(morse_to_text("- .... . -- .- --. .. -.-. --- ..-. - .... . ... ..- -."), "THE MAGIC OF THE SUN") + self.assertEqual(morse_to_text("- .... . .--- --- -.-- .. -. -- -.-- .... . .- .-. -"), "THE JOY IN MY HEART") + +class Week07AstronomicalSeason(UTestCase): + def test_winter(self): + from cp.ex07.astronomical_season import astronomical_season + self.assertEqual(astronomical_season((21, 'dec')), 'winter') + self.assertEqual(astronomical_season((15, 'feb')), 'winter') + self.assertEqual(astronomical_season((19, 'mar')), 'winter') + + def test_spring(self): + from cp.ex07.astronomical_season import astronomical_season + self.assertEqual(astronomical_season((20, 'mar')), 'spring') + self.assertEqual(astronomical_season((10, 'apr')), 'spring') + self.assertEqual(astronomical_season((20, 'jun')), 'spring') + + def test_summer(self): + from cp.ex07.astronomical_season import astronomical_season + self.assertEqual(astronomical_season((21, 'jun')), 'summer') + self.assertEqual(astronomical_season((5, 'jul')), 'summer') + self.assertEqual(astronomical_season((22, 'sep')), 'summer') + + def test_autumn(self): + from cp.ex07.astronomical_season import astronomical_season + self.assertEqual(astronomical_season((23, 'sep')), 'autumn') + self.assertEqual(astronomical_season((10, 'oct')), 'autumn') + self.assertEqual(astronomical_season((20, 'dec')), 'autumn') + + +class Week07Tests(Report): #240 total. + title = "Tests for week 07" + #version = 0.1 + #url = "https://gitlab.compute.dtu.dk/cp/02002students/-/blob/master/cp/tests" + pack_imports = [cp] + individual_imports = [] + questions = [(Week07HaveEqualLength, 10), + (Week07LastDifference, 10), + (Week07MultipleValues, 10), + (Week07BoxPacking, 10), + (Week07Hue, 10), + (Week07CodeShift, 10), + (Week07Morse, 10), + (Week07AstronomicalSeason, 10) + ] + +if __name__ == '__main__': + from unitgrade import evaluate_report_student + evaluate_report_student(Week07Tests()) diff --git a/cp/tests/unitgrade_data/Week07AstronomicalSeason.pkl b/cp/tests/unitgrade_data/Week07AstronomicalSeason.pkl new file mode 100644 index 0000000000000000000000000000000000000000..4c55ae43c164bf11f0b242477d2269072ff936e9 Binary 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a/cp/tests/unitgrade_data/Week07Hue.pkl b/cp/tests/unitgrade_data/Week07Hue.pkl new file mode 100644 index 0000000000000000000000000000000000000000..87b08a5653b32c69a3974b56efe77af18f32f423 Binary files /dev/null and b/cp/tests/unitgrade_data/Week07Hue.pkl differ diff --git a/cp/tests/unitgrade_data/Week07LastDifference.pkl b/cp/tests/unitgrade_data/Week07LastDifference.pkl new file mode 100644 index 0000000000000000000000000000000000000000..cc59ee64d3983750332c33bf6825c5b3c0aeff88 Binary files /dev/null and b/cp/tests/unitgrade_data/Week07LastDifference.pkl differ diff --git a/cp/tests/unitgrade_data/Week07Morse.pkl b/cp/tests/unitgrade_data/Week07Morse.pkl new file mode 100644 index 0000000000000000000000000000000000000000..dc887c97d10d8513e7d6c93a53f6d7bbcbba7ccc Binary files /dev/null and b/cp/tests/unitgrade_data/Week07Morse.pkl differ diff --git a/cp/tests/unitgrade_data/Week07MultipleValues.pkl b/cp/tests/unitgrade_data/Week07MultipleValues.pkl new file mode 100644 index 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