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How to use is_same_as method in assertpy

Best Python code snippet using assertpy_python

question.py

Source:question.py

...22    def __str__(self):23        return self.as_string()24    25    def __eq__(self, other):26        return self.is_same_as(other)27    28    def __lt__(self, other):29        """30        Less difficult questions are lesser than others.31        Same difficulty is random ordered.32        """33        self_diff = self.difficulty()34        other_diff = other.difficulty()35        36        if self_diff == other_diff:37            return random.choice([True, False])38        else:39            return self.difficulty() < other.difficulty()40    41    def as_string(self):42        """43        Returns string representation of question.44        """45        return _repr_obj(self)46    47    def is_same_as(self, other_question):48        """49        Returns True if this question is equal to other_question,50        False otherwise.51        """52        raise NotImplementedError('Question must implement is_same_as()')53    54    def get_class(self):55        """56        Returns question group name.57        """58        return QuestionBase._default_group59    60    def sort_answers_randomly(self):61        """62        Returns True if answers to this question are allowed to be 63        sorted randomly, False otherwise.64        """65        return True66    67    def num_demanded_answers(self):68        """69        Returns the required number of correct answers to be for each question70        to be marked as correct. 0 means that all correct answers must be found.71        """72        return 173    74    def num_answers(self):75        """76        Returns the number of answers to choose from for each question.77        """78        return 879    80    def num_answers_nomalized(self):81        """82        Internal method - do not overwrite!83        Returns the number of answers to choose from.84        """85        num_answers = self.num_answers()86        if num_answers < 2:87            raise Exception('num_answers() must return minimum 2')88        return num_answers89    90    def difficulty(self):91        """92        Evaluates question difficulty. Is used whenever questions93        are sorted by their difficulty.94        95        The higher return value, the more difficult the question.96        """97        return 098    99    def proximate(self, answer):100        """101        Approximate how close an answer is to the question asked.102        Return value must be a float n, where 0 <= n <= 1.103        """104        return 0105    106    def max_similarity(self):107        """108        Returns the maximum allowed similarity between answers to this question.109        Return value must be a float n, where 0 <= n <= 1.110        """111        return 1112113    def maximum_correct_answers(self):114        """115        Returns the maximum number of correct answers for this question.116        """117        return self.num_answers_nomalized()118119    def correct_answer_proximate(self, answer):120        """121        Approximate how close a correct answer is to the question asked.122        Return value must be a float n, where 0 <= n <= 1.123        """124        return 0125    126    def make_answers(self):127        """128        Creates and returns answers to this question.129        Questions may generate any number of answers they like.130        Answers generated by this method does not need to be correct answers.131        132        make_answers() may return either an Answer-object (objects133        inherited from AnswerBase) or an iterator of Answer-objects.134        """135        raise NotImplementedError('Question must implement make_answers()')136    137    def draw(self, to_file):138        """139        Draw question. to_file is path of file to write image data to.140        """141        raise NotImplementedError('Question must implement draw()')142    143    def most_favorable_answer(self, answer1, answer2):144        """145        Decide whether answer1 or answer2 is most favorable146        as an answer to this question.147        148        Returns -1 if answer1 is more favorable than answer2.149        Returns 0 if answer1 and answer2 are equally favorable.150        Returns 1 if answer1 is less favorable than answer2.151        """152        raise NotImplementedError153    154    def favorized_answers(self, all_answers):155        """156        Given a large set of answers, this method returns a sorted list157        of answers, where the first elements (answers) are the most favored.158        Do not edit the original list 'all_answers' - in stead create a new!159        """160        raise NotImplementedError161    162    def pick_answers(self, all_answers):163        """164        Picks answers for this question.165        """166        raise NotImplementedError167    168    def validate_answers(self, picked_answers):169        """170        Check whether question has enough correct answers.171        Raises an exception if it doesn't.172        """173        raise NotImplementedError174    175    # -------------------------------------------------------------------------176    177    # Legacy178    179    def get_group(self, *args, **kwargs):180        return self.get_class(*args, **kwargs)181    182    def required_correct_answers(self, *args, **kwargs):183        return self.num_demanded_answers(*args, **kwargs)184185186class AnswerBase(object):187    def __str__(self):188        return self.as_string()189    190    def __eq__(self, other):191        return self.is_same_as(other)192    193    def __lt__(self, other):194        return self.is_less_than(other)195    196    def as_string(self):197        """198        Returns string representation of answer.199        """200        return _repr_obj(self)201    202    def is_same_as(self, other_answer):203        """204        Returns True if this answer is equal to other_answer,205        False otherwise.206        """207        raise NotImplementedError('Answer must implement is_same_as()')208    209    def similarity(self, other_answer):210        """211        Approximate how similar this answer is to another answer.212        Return value must be a float n, where 0 <= n <= 1.213        """214        return 0215    216    def is_less_than(self, other_answer):217        """218        Determine if this answer is lesser than other_answer.219        Used to sort out which order answers should appear in.220        """221        raise NotImplementedError('Answer must implement is_less_than()')
...

environnement.py

Source:environnement.py

...65        empty_case_indice = randomXY(len(self.empty_case_states))66        randomX = self.empty_case_states[empty_case_indice].x67        randomY = self.empty_case_states[empty_case_indice].y68        self.states[randomX, randomY] = newValue69    def is_same_as(self, otherstates):70        for row in range(0,self.length):71            for col in range(0, self.length):72                if not self.states[(row, col)] == otherstates[(row, col)]:73                    return False74        return True75    def evaluate_when_game_over(self):76        actionUp = UpActionImpl(current_states=copy(self.states), lenght=self.length)77        actionDown = DownActionImpl(current_states=copy(self.states), lenght=self.length)78        actionLeft = LeftActionImpl(current_states=copy(self.states), lenght=self.length)79        actionRight = RightActionImpl(current_states=copy(self.states), lenght=self.length)80        return self.is_same_as(actionUp.get_states()) and self.is_same_as(actionDown.get_states())\81               and self.is_same_as(actionLeft.get_states()) and self.is_same_as(actionRight.get_states())82    def apply(self, action):83        self.previous_states = self.states84        if action == UP or action == DOWN or action == RIGHT or action == LEFT:85            action_applied = None86            # apply_action87            # permutation action haut et bas pour faire correspondre \88                # l'axe des abscisse  (en bas) de l'affichage graphique avec89                # celle du modele rÃ©el placÃ© en haut.90            if action == DOWN:91                action_applied = UpActionImpl(current_states=copy(self.states), lenght=self.length)92            elif action == UP:93                action_applied = DownActionImpl(current_states=copy(self.states), lenght=self.length)94            elif action == LEFT:95                action_applied = LeftActionImpl(current_states=copy(self.states), lenght=self.length)96            elif action == RIGHT:97                action_applied = RightActionImpl(current_states=copy(self.states), lenght=self.length)98            if self.is_same_as(action_applied.get_states()) is False:99                self.states = action_applied.get_states()100                self.score = action_applied.get_score()101                # generate new case102                empty_cases = self.count_empty_cases()103                if empty_cases != 0:104                    self._generate_random_new_case()105                self._reward = self.score106            else:107                self.score = 0108                self._reward = REWARD_NO_EFFECT109            if self.goal is True:110                self._reward = REWARD_GOAL111            if self.count_empty_cases() == 0 and self.evaluate_when_game_over():112                self._reward = REWARD_GAMEOVER...

test_board.py

Source:test_board.py

...3from src.board import Outcome4from src.player import Piece5def test_getitem(after_five_plies):6    board = after_five_plies.board7    assert_that(board[1, 2]).is_same_as(Piece.O)8    assert_that(board[2, 2]).is_same_as(Piece.X)9    assert_that(board[0, 0]).is_none10def test_setitem_in_empty_square(after_five_plies):11    board = after_five_plies.board12    board[0, 0] = Piece.O13    assert_that(board[0, 0]).is_same_as(Piece.O)14def test_setitem_in_occupied_square(after_five_plies):15    board = after_five_plies.board16    with pytest.raises(ValueError):17        board[1, 1] = Piece.O18def test_do_move(after_five_plies):19    game = after_five_plies20    board = game.board21    player = game.players.peek()22    move = (0, 0)23    board.do_move(player, move)24    assert_that(board[move].piece()).is_same_as(player.piece())25def test_check_for_game_over_winner_x(win_for_x):26    assert_that(win_for_x.check_for_game_over()).is_same_as(Outcome.X)27# def test_check_for_game_over_winner_o(win_for_o):28#     pass29def test_check_for_game_over_outcome_draw(drawn_game):...

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