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How to use cover_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:233            is_cell_chosen = False...

collecter.py

Source:collecter.py

1import mysql.connector2from collections import defaultdict3import pickle4import boto35bucket_name = "bandreco"6key_to_pickle = "outputs.pickle"7def get_max_view_combi():8    mydb = mysql.connector.connect(9        host="metaband.space", user="band", passwd="dlrjsqlalf", database="bandcruit"10    )11    cur = mydb.cursor()12    query = """13    SELECT covers.audio, covers.song_id, filterd_comb.comb_id14    FROM Cover covers15    INNER JOIN Cover_Combination cc 16    ON covers.id = cc.cover_id17    INNER JOIN 18    (SELECT comb.song_id, comb.id AS comb_id FROM(19        SELECT ANY_VALUE(comb.id) AS id, max(comb.view) AS view20        FROM Combination comb21        GROUP BY song_id) c_max22        INNER JOIN Combination comb ON c_max.id = comb.id) filterd_comb 23    ON filterd_comb.comb_id = cc.combination_id24    """25    cur.execute(query)26    covers = defaultdict(list)27    song_comb = dict()28    for audio, song_id, comb_id in cur:29        song_comb[song_id] = comb_id30        covers[song_id].append(audio)31    cur.close()32    mydb.close()33    outputs = {34        song_id: {"combination_id": song_comb[song_id], "audios": audios}35        for song_id, audios in covers.items()36    }37    return outputs38def load_output_from_s3():39    try:40        s3 = boto3.resource("s3")41        return pickle.loads(42            s3.Bucket(bucket_name).Object(key_to_pickle).get()["Body"].read()43        )44    except Exception as e:45        print(e)46        return {}47def save_output_to_s3(outputs):48    save_to_s3(outputs, key_to_pickle)49def save_to_s3(output, key):50    try:51        s3 = boto3.resource("s3")52        s3.Bucket(bucket_name).Object(key).put(Body=pickle.dumps(output))53    except Exception as e:...

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