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How to use determine_relationship method in autotest
Best Python code snippet using autotest_python
beacon_scanner.py
Source:beacon_scanner.py 
...78 >>> space_object = load_data("test_file2.txt")79 >>> for i in range(len(space_object.scanner_list)):80 ... for j in range(len(space_object.scanner_list)):81 ... if i != j:82 ... found, mapping, orientation, translation = space_object.scanner_list[i].determine_relationship(space_object.scanner_list[j])83 ... if found:84 ... space_object.mapping_dict[(space_object.scanner_list[i].identifier, space_object.scanner_list[j].identifier)] = mapping85 ... space_object.orientation_dict[(space_object.scanner_list[i].identifier, space_object.scanner_list[j].identifier)] = orientation86 ... space_object.translation_dict[(space_object.scanner_list[i].identifier, space_object.scanner_list[j].identifier)] = translation87 >>> space_object.find_orientations_and_translations_to_first_scanner()88 >>> for i in range(1, len(space_object.scanner_list)):89 ... assert (space_object.scanner_list[0].identifier, space_object.scanner_list[i].identifier) in space_object.orientation_dict90 ... assert (space_object.scanner_list[0].identifier, space_object.scanner_list[i].identifier) in space_object.translation_dict91 >>> assert space_object.orientation_dict[(space_object.scanner_list[0].identifier, space_object.scanner_list[2].identifier)] == [-2, -3, 1]92 >>> assert space_object.translation_dict[(space_object.scanner_list[0].identifier, space_object.scanner_list[2].identifier)] == [20, 1133, -1061]93 """94 for i in range(1, len(self.scanner_list)):95 if (self.scanner_list[0].identifier, self.scanner_list[i].identifier) in self.orientation_dict:96 continue97 else:98 orientation_path = self.find_path(self.scanner_list[0].identifier, self.scanner_list[i].identifier,99 self.orientation_dict)[1]100 orientation = self.orientation_dict[(orientation_path[-2], orientation_path[-1])]101 translation = self.translation_dict[(orientation_path[-2], orientation_path[-1])]102 for j in range(len(orientation_path)-2, 0, -1):103 orientation = apply_orientation(orientation, self.orientation_dict[(orientation_path[j-1], orientation_path[j])])104 translation = apply_orientation(translation, self.orientation_dict[(orientation_path[j-1], orientation_path[j])])105 translation_to_apply_to_translation = [-self.translation_dict[(orientation_path[j-1], orientation_path[j])][k] for k in106 range(len(self.translation_dict[(orientation_path[j-1], orientation_path[j])]))]107 translation = apply_translation(translation, translation_to_apply_to_translation)108 self.orientation_dict[(self.scanner_list[0].identifier, self.scanner_list[i].identifier)] = orientation109 self.translation_dict[(self.scanner_list[0].identifier, self.scanner_list[i].identifier)] = translation110 def recalibrate(self):111 """112 Recalibrates positions of all beacons with respect to first scanner113 Example:114 >>> space_object = load_data("test_file2.txt")115 >>> for i in range(len(space_object.scanner_list)):116 ... for j in range(len(space_object.scanner_list)):117 ... if i != j:118 ... found, mapping, orientation, translation = space_object.scanner_list[i].determine_relationship(space_object.scanner_list[j])119 ... if found:120 ... space_object.mapping_dict[(space_object.scanner_list[i].identifier, space_object.scanner_list[j].identifier)] = mapping121 ... space_object.orientation_dict[(space_object.scanner_list[i].identifier, space_object.scanner_list[j].identifier)] = orientation122 ... space_object.translation_dict[(space_object.scanner_list[i].identifier, space_object.scanner_list[j].identifier)] = translation123 >>> space_object.find_orientations_and_translations_to_first_scanner()124 >>> space_object.recalibrate()125 """126 first_scanner = self.scanner_list[0]127 for scanner in self.scanner_list:128 if scanner == first_scanner:129 for beacon in scanner.beacon_list:130 self.beacons_wrt_first_scanner.add((beacon[0], beacon[1], beacon[2]))131 else:132 for beacon in scanner.beacon_list:133 new_beacon = copy.deepcopy(beacon)134 new_beacon = apply_orientation(new_beacon, self.orientation_dict[(first_scanner.identifier, scanner.identifier)])135 new_beacon = apply_translation(new_beacon, self.translation_dict[(first_scanner.identifier, scanner.identifier)])136 self.beacons_wrt_first_scanner.add((new_beacon[0], new_beacon[1], new_beacon[2]))137 return138 def count_beacons(self):139 """140 Counts the total number of beacons scanned by all scanners141 Example:142 """143 # For beacon1 in scanner1144 # For beacon2 in scanner2145 for i in range(len(self.scanner_list)):146 for j in range(len(self.scanner_list)):147 # Ensuring the two scanners are not the same148 if i != j:149 # Get mapping of all nodes with one other node.150 found, mapping, orientation, translation = self.scanner_list[i].determine_relationship(self.scanner_list[j])151 if found:152 # print(mapping)153 self.mapping_dict[(self.scanner_list[i].identifier, self.scanner_list[j].identifier)] = mapping154 self.orientation_dict[(self.scanner_list[i].identifier, self.scanner_list[j].identifier)] = orientation155 self.translation_dict[(self.scanner_list[i].identifier, self.scanner_list[j].identifier)] = translation156 # break157 # Find the rotation required to orient all scanners in the same direction as the first scanner using transitivity158 # Find the translation required to move all scanners to the first scanner using the mapping of scanners and159 # transitivity160 self.find_orientations_and_translations_to_first_scanner()161 # Using the rotation and translation information for all scanners, find the beacon coordinates of all beacons with162 # respect to the first scanner adding these to a set of tuples of coordinates. First orient then translate.163 self.recalibrate()164 # for beacon in self.beacons_wrt_first_scanner:165 # print(str(beacon[0])+','+str(beacon[1])+','+str(beacon[2]))166 return len(self.beacons_wrt_first_scanner)167 def find_greatest_manhatten_distance_between_scanners(self):168 """169 Finds two scanners that are the furthest apart and returns their identifiers170 """171 self.count_beacons()172 scanner_coordinates = {self.scanner_list[0].identifier: [0, 0, 0]}173 for key, val in self.translation_dict.items():174 if key[0] == self.scanner_list[0].identifier:175 scanner_coordinates[key[1]] = val176 max_distance = 0177 first_scanner = 0178 second_scanner = 0179 for i in scanner_coordinates.keys():180 for j in scanner_coordinates.keys():181 if manhattan_distance(scanner_coordinates[i], scanner_coordinates[j])>max_distance:182 max_distance = manhattan_distance(scanner_coordinates[i], scanner_coordinates[j])183 first_scanner = i184 second_scanner = j185 # print(first_scanner)186 # print(second_scanner)187 return max_distance188class Scanner:189 def __init__(self, identifier, beacon_list):190 self.identifier = identifier191 self.beacon_list = copy.deepcopy(beacon_list)192 self.relative_distances_per_beacon_list = []193 for beacon1 in beacon_list:194 self.relative_distances_per_beacon_list.append([])195 for beacon2 in beacon_list:196 self.relative_distances_per_beacon_list[-1].append(manhattan_distance(beacon1, beacon2))197 def __str__(self):198 """199 Prints string form of this class.200 Example:201 >>> print(Scanner(0, [[404, -588, -901], [528, -643, 409], [-838, 591, 734]]))202 Scanner 0:203 0: [ 404,-588,-901] [0: 0, 1: 1489, 2: 4056, ]204 1: [ 528,-643, 409] [0: 1489, 1: 0, 2: 2925, ]205 2: [-838, 591, 734] [0: 4056, 1: 2925, 2: 0, ]206 <BLANKLINE>207 """208 assert len(self.beacon_list) == len(self.relative_distances_per_beacon_list)209 returning_string = "Scanner " + str(self.identifier) + ":\n"210 for i in range(len(self.beacon_list)):211 returning_string += str(i).rjust(2) + ": [" + \212 str(self.beacon_list[i][0]).rjust(4) + "," + \213 str(self.beacon_list[i][1]).rjust(4) + "," + \214 str(self.beacon_list[i][2]).rjust(4) + "]"215 returning_string += " ["216 for j in range(len(self.relative_distances_per_beacon_list[i])):217 returning_string += str(j) + ": " + str(self.relative_distances_per_beacon_list[i][j]).rjust(4) + ", "218 returning_string += "]\n"219 return returning_string220 def determine_relationship(self, scanner_object):221 """222 Determines mapping of beacons, the orientation and translation relation between the two scanners.223 Example:224 >>> space_object = load_data("test_file1.txt")225 >>> space_object.scanner_list[0].determine_relationship(space_object.scanner_list[1])226 (True, {1: 8, 3: 12, 4: 1, 5: 24, 6: 18, 7: 10, 9: 0, 12: 2, 14: 5, 19: 15, 24: 19, 0: 3}, [-1, 2, -3], [-68, 1246, 43])227 """228 assert isinstance(scanner_object, Scanner)229 beacon_mapping = self.find_mapping(scanner_object)230 orientation_relation = []231 translation_relation = []232 if len(beacon_mapping) > 11:233 # Find orientation relation234 orientation_relation = self.find_orientation(scanner_object, beacon_mapping)235 # Find translation relation236 translation_relation = self.find_translation(scanner_object, beacon_mapping, orientation_relation)237 return True, beacon_mapping, orientation_relation, translation_relation238 else:239 return False, beacon_mapping, orientation_relation, translation_relation...
20_part_1.py
Source:20_part_1.py
...79 results.append(clock_wise)80 results.append(counter)81 for i in list(set(results)):82 self.possible_arr.append(TileArrangement(self, i))83 def determine_relationship(self, candidate):84 for i, my in enumerate(self.possible_arr):85 for j, their in enumerate(candidate.possible_arr):86 if '' in my.arr_list or '' in their.arr_list:87 import pdb;pdb.set_trace()88 # Is above us?89 if my.arr_list[0] == their.arr_list[-1]:90 my.neighbours['up'] = their91 their.neighbours['down'] = my92 # Check whether it is on the bottom:93 if my.arr_list[-1] == their.arr_list[0]:94 my.neighbours['down'] = their95 their.neighbours['up'] = my96 # Check whether it is on the left:97 if Tile.get_left_side(my.arr_list) == Tile.get_right_side(their.arr_list):98 my.neighbours['left'] = their99 their.neighbours['right'] = my100 # Check whether it is on the right:101 if Tile.get_right_side(my.arr_list) == Tile.get_left_side(their.arr_list):102 my.neighbours['right'] = their103 their.neighbours['left'] = my104 return None105def print_board(board):106 for line in board:107 cur_row = ""108 for i, tile in enumerate(line):109 cur_row += str(tile.name) + " " * 11110 cur_row += "\n"111 for i in range(10):112 for t in line:113 cur_row += t.final_arr.arr_list[i] + " " * 5114 cur_row += "\n"115 print(cur_row)116tiles = input.split("\n\n")117tile_dict = {}118for t in tiles:119 tile_number, tile_text = t.split('\n', 1)120 tile_obj = Tile(int(tile_number[4:9]), tile_text)121 tile_dict[int(tile_number[4:9])] = tile_obj122 tile_obj.generate_possibilities()123square = []124square_size = int(len(tile_dict) ** 0.5)125for i in range(square_size):126 square.append([None] * square_size)127#### TEST print board - Randomly put everything into a square:128# for i, j in enumerate(tile_dict.values()):129# square[i // 3][i % 3] = j130# j.final_arr = j.possible_arr[0]131#132# print_board(square)133#134for tile_name, tile_obj in tile_dict.items():135 for can_name, can_obj in tile_dict.items():136 if can_obj.was_scanned:137 continue138 if can_obj == tile_obj:139 continue140 relationship = tile_obj.determine_relationship(can_obj)141 tile_obj.was_scanned = True142# ttt = tile_dict[1951]143#144# for i in ttt.possible_arr:145# for k, v in i.neighbours.items():146# if v != None:147# print(k, '->', v.tile.name)148#149# print('-------------')150#151# find top left:152top_left = None153possible_corners = []154for tile_obj in tile_dict.values():...
style_engine.py
Source:style_engine.py
...53 rows.append([e_id, l_id, score, popularity])54 db.create_pairs(rows)55def determine_score(pair):56 wears = (pair[e_wear_index] + pair[l_wear_index]) / 257 likes, dislikes = determine_relationship(pair)58 #print('likes: {0} dislikes: {1}'.format(likes, dislikes))59 likes += pair[e_like_index] + pair[l_like_index]60 dislikes += pair[e_dislike_index] + pair[l_dislike_index]61 #print('likes: {0} dislikes: {1}'.format(likes, dislikes))62 score = (likes - dislikes) / (likes + dislikes + 1)63 pop = score - (0.03 * wears)64 return score, pop65def determine_relationship(pair):66 # Go through each of the Style Rules67 # General rules for matching the eyeshadow and lipstick to each other68 positive = 069 negative = 070 71 # Do not pair a bold lip and bold eye72 if pair[e_bold_index] == 'BOLD' and pair[l_bold_index] == 'BOLD':73 negative = negative + 174 # Pair a bold eye with a subtle lip75 if pair[e_bold_index] == 'BOLD' and pair[l_bold_index] == 'NUDE':76 positive = positive + 177 # Pair a bold lip with a subtle eye78 if pair[e_bold_index] == 'SUBTLE' and pair[l_bold_index] == 'BOLD':79 positive = positive + 1...
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