How to use dupe1 method in assertpy

Best Python code snippet using assertpy_python

infer_2D.py

Source:infer_2D.py

1import Bayesian_Hilbert_Maps.BHM.original.sbhm as sbhm2from aux_funcs import *3import agent2D 4import rrt_BHM 5import matplotlib.pyplot as plt6valid_starting_points1 = [(56, 56), (112, 56), (168, 56), (168, 112), (112, 112)]  # X, Y for Drone 17valid_starting_points2 = [(168, 168), (112, 168), (56, 168), (56, 112), (112, 112)]  # X, Y for Drone 28# Training map9gt = get_ground_truth_array(r'/Users/axtonlim/Desktop/PEDRA_2D/map_2D/environments/filled_simple_floorplan_v2.png')10plt.imshow(gt, 'Greys_r')11plt.show()12# Paths13custom_load_dir1 = '/Users/axtonlim/Desktop/PEDRA_2D/map_2D/results/weights1/drone_2D_6000'14custom_load_dir2 = '/Users/axtonlim/Desktop/PEDRA_2D/map_2D/results/weights2/drone_2D_6000'15log_dir1 = '/Users/axtonlim/Desktop/PEDRA_2D/map_2D/results/inference1/infer_log.txt'16log_dir2 = '/Users/axtonlim/Desktop/PEDRA_2D/map_2D/results/inference2/infer_log.txt'17# RRT variables18danger_radius = 419occ_threshold = 0.720# SBHM variables21gamma = 0.0222cell_res = (12, 12)23min_max = (0, 223, 0, 223)24LIDAR_max_range = 7625BHM = sbhm.SBHM(gamma=gamma, cell_resolution=cell_res, cell_max_min=min_max)26# agent27drone1 = agent2D.agent_2D(BHM=BHM, min_max=min_max, LIDAR_pixel_range=LIDAR_max_range, ground_truth_map=gt, starting_pos=valid_starting_points1[0],28                         plot_dir='', weights_dir='', custom_load=custom_load_dir1)29drone2 = agent2D.agent_2D(BHM=BHM, min_max=min_max, LIDAR_pixel_range=LIDAR_max_range, ground_truth_map=gt, starting_pos=valid_starting_points2[0],30                         plot_dir='', weights_dir='', custom_load=custom_load_dir2)31drone1.collect_data()    # need to do 1 fitting of BHM first before can query32drone2.collect_data()33current_state1 = drone1.get_state()34current_state2 = drone2.get_state()35# Inference Variables36cum_path_length1 = 037cum_path_length2 = 038minimum_finished_ratio = 0.7839plt.ion()40plt.show()41plt.scatter(drone1.position[0], drone1.position[1], drone2.position[0], drone2.position[1], cmap='jet')42print("******** INFERENCE BEGINS *********")43while True:44    no_dupe1 = drone1.network_model.action_selection_non_repeat(current_state1, current_state2, drone1.previous_actions)45    print('no dupe action1', no_dupe1[0])46    no_dupe2 = drone2.network_model.action_selection_non_repeat(current_state2, current_state1, drone2.previous_actions)47    print('no dupe action2', no_dupe2[0])48    # RRT* Algo49    startpos1 = drone1.position50    goalpos1 = action_idx_to_coords(no_dupe1[0], min_max)51    startpos2 = drone2.position52    goalpos2 = action_idx_to_coords(no_dupe2[0], min_max)53    G1 = rrt_BHM.Graph(startpos1, goalpos1, min_max)54    G1 = rrt_BHM.RRT_n_star(G1, drone1.BHM, n_iter=450, radius=5, stepSize=14, crash_radius=5, n_retries_allowed=0)55    G2 = rrt_BHM.Graph(startpos2, goalpos2, min_max)56    G2 = rrt_BHM.RRT_n_star(G2, drone2.BHM, n_iter=450, radius=5, stepSize=14, crash_radius=5, n_retries_allowed=0)57    if G1.success:58        path1 = rrt_BHM.dijkstra(G1)59        path1 = [(int(elem[0]), int(elem[1])) for elem in path1]60        _1, path_length1 = drone1.move_by_sequence(path1[1:])  # exclude first point61        cum_path_length1 += path_length162    else:63        path_length1 = 064    if G2.success:65        path2 = rrt_BHM.dijkstra(G2)66        path2 = [(int(elem[0]), int(elem[1])) for elem in path2]67        _2, path_length2 = drone2.move_by_sequence(path2[1:])  # exclude first point68        cum_path_length2 += path_length269    else:70        path_length2 = 071    done = False72    if path_length1 or path_length2 != 0:73        free_mask1 = drone1.get_free_mask()74        correct1 = np.logical_and(gt, free_mask1)75        free_mask2 = drone2.get_free_mask()76        correct2 = np.logical_and(gt, free_mask2)77        correct = correct1 + correct278        #plt.imshow(correct, cmap='Greys_r')79        plt.scatter(drone1.position[0], drone1.position[1], drone2.position[0], drone2.position[1], cmap='jet')80        plt.draw()81        plt.pause(0.001)82        #drone1.show_model()83        #drone2.show_model()84        finished_ratio = np.sum(correct) / np.sum(gt)85        print("Finished ratio:", finished_ratio)86        if finished_ratio > minimum_finished_ratio:87            done = True88        new_state1 = drone1.get_state()89        new_state2 = drone2.get_state()90    else:91        new_state1 = current_state192        new_state2 = current_state293    if done:94        print("******** EXPLORATION DONE *********")95        cum_path_length = cum_path_length1 + cum_path_length296        print("Path Length:", cum_path_length)97        print("Finished ratio:", finished_ratio)98        break99    else:100        current_state1 = new_state1101        current_state2 = new_state2102        drone1.previous_actions.add(tuple(no_dupe1[0]))...

day 3 solution.py

Source:day 3 solution.py

1# -*- coding: utf-8 -*-2with open("input.txt", 'r') as f:3    nums = [line for line in f.readlines()]4nums = [i.strip('\n') for i in nums]5nums_dupe1 = nums6nums_dupe2 = nums7empty = []8for i in range(len(nums[0])):9    counter = 010    for j in range(len(nums)):11        if int(nums[j][i]) == 1:12            counter+=113        else:14            counter-= 115    16    if counter >0:17        empty.append(1)18    else:19        empty.append(0)20        21        22binary  = ''.join([str(i) for i in empty])23binary2 = binary.replace("1", "2").replace("0", "1").replace("2", "0")24print(int(binary,2))25print(int(binary2,2))26print(int(binary,2) * int(binary2,2))27#part 228empty2 = []29for i in range(len(nums_dupe1[0])):30    counter = 031    for j in range(len(nums_dupe1)):32        if int(nums_dupe1[j][i]) == 1:33            counter+=134        else:35            counter-= 136    if len(nums_dupe1) == 1:37        break38    if counter >= 0:39        nums_dupe1 = [x for x in nums_dupe1 if x[i] == '1']40    if counter < 0:41        nums_dupe1 = [x for x in nums_dupe1 if x[i] == '0']42print(nums_dupe1)43                44for i in range(len(nums_dupe2[0])):45    counter = 046    for j in range(len(nums_dupe2)):47        if int(nums_dupe2[j][i]) == 1:48            counter+=149        else:50            counter-= 151    if len(nums_dupe2) == 1:52        break53    if counter >= 0:54        nums_dupe2 = [x for x in nums_dupe2 if x[i] == '0']55    if counter < 0:56        nums_dupe2 = [x for x in nums_dupe2 if x[i] == '1']57print(nums_dupe2)58x1 =(int(nums_dupe1[0],2))59x2 =(int(nums_dupe2[0],2))60print(x1*x2)61        ...

deDupes.py

Source:deDupes.py

1'''attempting to deduplicate two sets of microform records in order to update the difference'''2import csv, os3with open('dupe1.csv', 'r') as file1, open('dupe2.csv', 'r') as file2:4    dupe1_reader = file1.read().split('\n')5    dupe2_reader = file2.read().split('\n')6    s = set(dupe2_reader)7    deDupes = [line for line in dupe1_reader if line not in s]8    with open('deDupes.csv', 'w') as dedupout:9        ded_writer = csv.writer(dedupout)10        for line in deDupes:11            ded_writer.writerow(line)...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.