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How to use uncover_combination method in avocado

Best Python code snippet using avocado_python

Cit.py

Source:Cit.py

...168            solution = [x for x in matrix[row_index]]169            for index, item in enumerate(parameters):170                solution[item] = combination[index]171            if self.combination_matrix.is_valid_combination(solution, parameters):172                self.combination_matrix.uncover_combination(matrix[row_index], parameters)173                self.combination_matrix.cover_combination(solution, parameters)174                if self.combination_matrix.total_uncovered < best_uncover:175                    best_uncover = self.combination_matrix.total_uncovered176                    best_solution = solution177                    best_row_index = row_index178                self.combination_matrix.uncover_combination(solution, parameters)179                self.combination_matrix.cover_combination(matrix[row_index], parameters)180                if best_uncover == 0:181                    break182        return best_solution, best_row_index, parameters183    def get_missing_combination_random(self):184        """185        Randomly finds one missing combination.186        :return: parameter of combination and values of combination187        """188        possible_parameters = list(self.combination_matrix.uncovered_rows)189        combination_parameters_index = random.randint(0, len(possible_parameters) - 1)190        combination_parameters = possible_parameters[combination_parameters_index]191        combination_row = self.combination_matrix.get_row(combination_parameters)192        possible_combinations = list(combination_row.get_all_uncovered_combinations())193        combination_index = random.randint(0, len(possible_combinations) - 1)194        combination = possible_combinations[combination_index]195        return combination_parameters, combination196    def change_one_column(self, matrix):197        """198        Randomly choose one column of the matrix. In each cell of this column199        changes value. The row with the best coverage is the solution.200        :param matrix: matrix to be changed201        :return: solution, index of solution inside matrix and parameters which has been changed202        """203        column_index = random.randint(0, len(self.data) - 1)204        best_uncover = float("inf")205        best_solution = []206        best_row_index = 0207        for row_index in range(len(matrix)):208            try:209                solution, row_index, parameters = self.change_one_value(matrix, row_index, column_index)210            except ValueError:211                continue212            self.combination_matrix.uncover_combination(matrix[row_index], parameters)213            self.combination_matrix.cover_combination(solution, parameters)214            if self.combination_matrix.total_uncovered < best_uncover:215                best_uncover = self.combination_matrix.total_uncovered216                best_solution = solution217                best_row_index = row_index218            self.combination_matrix.uncover_combination(solution, parameters)219            self.combination_matrix.cover_combination(matrix[row_index], parameters)220            if best_uncover == 0:221                break222        return best_solution, best_row_index, [column_index]223    def change_one_value(self, matrix, row_index=None, column_index=None):224        """225        Change one cell inside the matrix226        :param matrix: matrix to be changed227        :param row_index: row inside matrix. If it's None it is chosen randomly228        :param column_index: column inside matrix. If it's None it is chosen randomly229        :return: solution, index of solution inside matrix and parameters which has been changed230        """231        is_cell_chosen = True232        if row_index is None:...

CombinationMatrix.py

Source:CombinationMatrix.py

...80                self.uncovered_rows[key] = key81            self.total_uncovered += uncovered_difference82            self.total_covered_more_than_ones += covered_more_than_ones_difference83        return self.total_uncovered84    def uncover_combination(self, row, parameters):85        """86        Uncover combination of specific parameters by one row from possible solution87        :param row: one row from solution88        :param parameters: parameters which has to be covered89        :return: number of uncovered combinations90        """91        for key, value in self.hash_table.items():92            for parameter in parameters:93                if parameter in key:94                    val = []95                    # Getting combination from solution96                    for i in key:97                        val.append(row[i])98                    uncovered_difference, covered_more_than_ones_difference = value.uncover_cell(val)...

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