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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)...

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