How to use cover_combination method in avocado

Best Python code snippet using avocado_python Github


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...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( - 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...

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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="", user="band", passwd="dlrjsqlalf", database="bandcruit"10 )11 cur = mydb.cursor()12 query = """13 SELECT, covers.song_id, filterd_comb.comb_id14 FROM Cover covers15 INNER JOIN Cover_Combination cc 16 ON = cc.cover_id17 INNER JOIN 18 (SELECT comb.song_id, AS comb_id FROM(19 SELECT ANY_VALUE( AS id, max(comb.view) AS view20 FROM Combination comb21 GROUP BY song_id) c_max22 INNER JOIN Combination comb ON = 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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