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How to use fromtimestamp method in freezegun
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LAB_1.py
Source:LAB_1.py 
...36 # the first process37 dict(38 process=1,39 block=1,40 duration=dt.datetime.fromtimestamp(1).strftime('%Y-%m-%d %H:%M:%S'),41 start=dt.datetime.fromtimestamp(0).strftime('%Y-%m-%d %H:%M:%S')42 ),43 dict(44 process=1,45 block=2,46 duration=dt.datetime.fromtimestamp(5).strftime('%Y-%m-%d %H:%M:%S'),47 start=dt.datetime.fromtimestamp(1).strftime('%Y-%m-%d %H:%M:%S')48 ),49 dict(50 process=1,51 block=3,52 duration=dt.datetime.fromtimestamp(8).strftime('%Y-%m-%d %H:%M:%S'),53 start=dt.datetime.fromtimestamp(5).strftime('%Y-%m-%d %H:%M:%S')54 ),55 dict(56 process=1,57 block=4,58 duration=dt.datetime.fromtimestamp(9).strftime('%Y-%m-%d %H:%M:%S'),59 start=dt.datetime.fromtimestamp(8).strftime('%Y-%m-%d %H:%M:%S')60 ),61 ####62 dict(63 process=1,64 block=1,65 duration=dt.datetime.fromtimestamp(26).strftime('%Y-%m-%d %H:%M:%S'),66 start=dt.datetime.fromtimestamp(23).strftime('%Y-%m-%d %H:%M:%S')67 ),68 dict(69 process=1,70 block=2,71 duration=dt.datetime.fromtimestamp(27).strftime('%Y-%m-%d %H:%M:%S'),72 start=dt.datetime.fromtimestamp(26).strftime('%Y-%m-%d %H:%M:%S')73 ),74 dict(75 process=1,76 block=3,77 duration=dt.datetime.fromtimestamp(29).strftime('%Y-%m-%d %H:%M:%S'),78 start=dt.datetime.fromtimestamp(27).strftime('%Y-%m-%d %H:%M:%S')79 ),80 dict(81 process=1,82 block=4,83 duration=dt.datetime.fromtimestamp(32).strftime('%Y-%m-%d %H:%M:%S'),84 start=dt.datetime.fromtimestamp(29).strftime('%Y-%m-%d %H:%M:%S')85 ),86 ####87 dict(88 process=1,89 block=1,90 duration=dt.datetime.fromtimestamp(46).strftime('%Y-%m-%d %H:%M:%S'),91 start=dt.datetime.fromtimestamp(44).strftime('%Y-%m-%d %H:%M:%S')92 ),93 dict(94 process=1,95 block=2,96 duration=dt.datetime.fromtimestamp(47).strftime('%Y-%m-%d %H:%M:%S'),97 start=dt.datetime.fromtimestamp(46).strftime('%Y-%m-%d %H:%M:%S')98 ),99 dict(100 process=1,101 block=3,102 duration=dt.datetime.fromtimestamp(51).strftime('%Y-%m-%d %H:%M:%S'),103 start=dt.datetime.fromtimestamp(47).strftime('%Y-%m-%d %H:%M:%S')104 ),105 dict(106 process=1,107 block=4,108 duration=dt.datetime.fromtimestamp(54).strftime('%Y-%m-%d %H:%M:%S'),109 start=dt.datetime.fromtimestamp(51).strftime('%Y-%m-%d %H:%M:%S')110 ),111 # the second process112 dict(113 process=2,114 block=1,115 duration=dt.datetime.fromtimestamp(4).strftime('%Y-%m-%d %H:%M:%S'),116 start=dt.datetime.fromtimestamp(1).strftime('%Y-%m-%d %H:%M:%S')117 ),118 dict(119 process=2,120 block=2,121 duration=dt.datetime.fromtimestamp(7).strftime('%Y-%m-%d %H:%M:%S'),122 start=dt.datetime.fromtimestamp(5).strftime('%Y-%m-%d %H:%M:%S')123 ),124 dict(125 process=2,126 block=3,127 duration=dt.datetime.fromtimestamp(12).strftime('%Y-%m-%d %H:%M:%S'),128 start=dt.datetime.fromtimestamp(8).strftime('%Y-%m-%d %H:%M:%S')129 ),130 dict(131 process=2,132 block=4,133 duration=dt.datetime.fromtimestamp(14).strftime('%Y-%m-%d %H:%M:%S'),134 start=dt.datetime.fromtimestamp(12).strftime('%Y-%m-%d %H:%M:%S')135 ),136 ###137 dict(138 process=2,139 block=1,140 duration=dt.datetime.fromtimestamp(30).strftime('%Y-%m-%d %H:%M:%S'),141 start=dt.datetime.fromtimestamp(26).strftime('%Y-%m-%d %H:%M:%S')142 ),143 dict(144 process=2,145 block=2,146 duration=dt.datetime.fromtimestamp(33).strftime('%Y-%m-%d %H:%M:%S'),147 start=dt.datetime.fromtimestamp(30).strftime('%Y-%m-%d %H:%M:%S')148 ),149 dict(150 process=2,151 block=3,152 duration=dt.datetime.fromtimestamp(35).strftime('%Y-%m-%d %H:%M:%S'),153 start=dt.datetime.fromtimestamp(33).strftime('%Y-%m-%d %H:%M:%S')154 ),155 dict(156 process=2,157 block=4,158 duration=dt.datetime.fromtimestamp(36).strftime('%Y-%m-%d %H:%M:%S'),159 start=dt.datetime.fromtimestamp(35).strftime('%Y-%m-%d %H:%M:%S')160 ),161 ###162 dict(163 process=2,164 block=1,165 duration=dt.datetime.fromtimestamp(48).strftime('%Y-%m-%d %H:%M:%S'),166 start=dt.datetime.fromtimestamp(46).strftime('%Y-%m-%d %H:%M:%S')167 ),168 dict(169 process=2,170 block=2,171 duration=dt.datetime.fromtimestamp(50).strftime('%Y-%m-%d %H:%M:%S'),172 start=dt.datetime.fromtimestamp(48).strftime('%Y-%m-%d %H:%M:%S')173 ),174 dict(175 process=2,176 block=3,177 duration=dt.datetime.fromtimestamp(53).strftime('%Y-%m-%d %H:%M:%S'),178 start=dt.datetime.fromtimestamp(51).strftime('%Y-%m-%d %H:%M:%S')179 ),180 dict(181 process=2,182 block=4,183 duration=dt.datetime.fromtimestamp(55).strftime('%Y-%m-%d %H:%M:%S'),184 start=dt.datetime.fromtimestamp(54).strftime('%Y-%m-%d %H:%M:%S')185 ),186 # the third process187 dict(188 process=3,189 block=1,190 duration=dt.datetime.fromtimestamp(5).strftime('%Y-%m-%d %H:%M:%S'),191 start=dt.datetime.fromtimestamp(4).strftime('%Y-%m-%d %H:%M:%S')192 ),193 dict(194 process=3,195 block=2,196 duration=dt.datetime.fromtimestamp(9).strftime('%Y-%m-%d %H:%M:%S'),197 start=dt.datetime.fromtimestamp(7).strftime('%Y-%m-%d %H:%M:%S')198 ),199 dict(200 process=3,201 block=3,202 duration=dt.datetime.fromtimestamp(16).strftime('%Y-%m-%d %H:%M:%S'),203 start=dt.datetime.fromtimestamp(12).strftime('%Y-%m-%d %H:%M:%S')204 ),205 dict(206 process=3,207 block=4,208 duration=dt.datetime.fromtimestamp(18).strftime('%Y-%m-%d %H:%M:%S'),209 start=dt.datetime.fromtimestamp(16).strftime('%Y-%m-%d %H:%M:%S')210 ),211 ###212 dict(213 process=3,214 block=1,215 duration=dt.datetime.fromtimestamp(34).strftime('%Y-%m-%d %H:%M:%S'),216 start=dt.datetime.fromtimestamp(30).strftime('%Y-%m-%d %H:%M:%S')217 ),218 dict(219 process=3,220 block=2,221 duration=dt.datetime.fromtimestamp(36).strftime('%Y-%m-%d %H:%M:%S'),222 start=dt.datetime.fromtimestamp(34).strftime('%Y-%m-%d %H:%M:%S')223 ),224 dict(225 process=3,226 block=3,227 duration=dt.datetime.fromtimestamp(40).strftime('%Y-%m-%d %H:%M:%S'),228 start=dt.datetime.fromtimestamp(36).strftime('%Y-%m-%d %H:%M:%S')229 ),230 dict(231 process=3,232 block=4,233 duration=dt.datetime.fromtimestamp(42).strftime('%Y-%m-%d %H:%M:%S'),234 start=dt.datetime.fromtimestamp(40).strftime('%Y-%m-%d %H:%M:%S')235 ),236 ###237 dict(238 process=3,239 block=1,240 duration=dt.datetime.fromtimestamp(51).strftime('%Y-%m-%d %H:%M:%S'),241 start=dt.datetime.fromtimestamp(48).strftime('%Y-%m-%d %H:%M:%S')242 ),243 dict(244 process=3,245 block=2,246 duration=dt.datetime.fromtimestamp(55).strftime('%Y-%m-%d %H:%M:%S'),247 start=dt.datetime.fromtimestamp(51).strftime('%Y-%m-%d %H:%M:%S')248 ),249 dict(250 process=3,251 block=3,252 duration=dt.datetime.fromtimestamp(57).strftime('%Y-%m-%d %H:%M:%S'),253 start=dt.datetime.fromtimestamp(55).strftime('%Y-%m-%d %H:%M:%S')254 ),255 dict(256 process=3,257 block=4,258 duration=dt.datetime.fromtimestamp(58).strftime('%Y-%m-%d %H:%M:%S'),259 start=dt.datetime.fromtimestamp(57).strftime('%Y-%m-%d %H:%M:%S')260 ),261 # the fourth process262 dict(263 process=4,264 block=1,265 duration=dt.datetime.fromtimestamp(8).strftime('%Y-%m-%d %H:%M:%S'),266 start=dt.datetime.fromtimestamp(5).strftime('%Y-%m-%d %H:%M:%S')267 ),268 dict(269 process=4,270 block=2,271 duration=dt.datetime.fromtimestamp(12).strftime('%Y-%m-%d %H:%M:%S'),272 start=dt.datetime.fromtimestamp(9).strftime('%Y-%m-%d %H:%M:%S')273 ),274 dict(275 process=4,276 block=3,277 duration=dt.datetime.fromtimestamp(22).strftime('%Y-%m-%d %H:%M:%S'),278 start=dt.datetime.fromtimestamp(16).strftime('%Y-%m-%d %H:%M:%S')279 ),280 dict(281 process=4,282 block=4,283 duration=dt.datetime.fromtimestamp(23).strftime('%Y-%m-%d %H:%M:%S'),284 start=dt.datetime.fromtimestamp(22).strftime('%Y-%m-%d %H:%M:%S')285 ),286 ###287 dict(288 process=4,289 block=1,290 duration=dt.datetime.fromtimestamp(37).strftime('%Y-%m-%d %H:%M:%S'),291 start=dt.datetime.fromtimestamp(34).strftime('%Y-%m-%d %H:%M:%S')292 ),293 dict(294 process=4,295 block=2,296 duration=dt.datetime.fromtimestamp(40).strftime('%Y-%m-%d %H:%M:%S'),297 start=dt.datetime.fromtimestamp(37).strftime('%Y-%m-%d %H:%M:%S')298 ),299 dict(300 process=4,301 block=3,302 duration=dt.datetime.fromtimestamp(41).strftime('%Y-%m-%d %H:%M:%S'),303 start=dt.datetime.fromtimestamp(40).strftime('%Y-%m-%d %H:%M:%S')304 ),305 dict(306 process=4,307 block=4,308 duration=dt.datetime.fromtimestamp(44).strftime('%Y-%m-%d %H:%M:%S'),309 start=dt.datetime.fromtimestamp(42).strftime('%Y-%m-%d %H:%M:%S')310 ),311 ###312 dict(313 process=4,314 block=1,315 duration=dt.datetime.fromtimestamp(55).strftime('%Y-%m-%d %H:%M:%S'),316 start=dt.datetime.fromtimestamp(51).strftime('%Y-%m-%d %H:%M:%S')317 ),318 dict(319 process=4,320 block=2,321 duration=dt.datetime.fromtimestamp(57).strftime('%Y-%m-%d %H:%M:%S'),322 start=dt.datetime.fromtimestamp(55).strftime('%Y-%m-%d %H:%M:%S')323 ),324 dict(325 process=4,326 block=3,327 duration=dt.datetime.fromtimestamp(60).strftime('%Y-%m-%d %H:%M:%S'),328 start=dt.datetime.fromtimestamp(57).strftime('%Y-%m-%d %H:%M:%S')329 ),330 dict(331 process=4,332 block=4,333 duration=dt.datetime.fromtimestamp(61).strftime('%Y-%m-%d %H:%M:%S'),334 start=dt.datetime.fromtimestamp(60).strftime('%Y-%m-%d %H:%M:%S')335 ),336]337c_df = pd.DataFrame(asyncMode)338c_fig = px.timeline(c_df, x_start="start", x_end="duration", y="process", color="block")...
analyzeTrajectory.py
Source:analyzeTrajectory.py
...6import math7MATCHING_DISTANCE = 0.18MATCHING_TIME_FRAME = 39def matchTime(t1, t2):10 return abs(datetime.fromtimestamp(t1).hour - datetime.fromtimestamp(t2).hour)<= MATCHING_TIME_FRAME # time difference no greater than 3 hours11 # return (0 <= datetime.fromtimestamp(t1).hour < 3 and 0 <= datetime.fromtimestamp(t2).hour < 3) or (3 <= datetime.fromtimestamp(t1).hour < 6 and 3 <= datetime.fromtimestamp(t2).hour < 6) or (6 <= datetime.fromtimestamp(t1).hour < 9 and 6 <= datetime.fromtimestamp(t2).hour < 9) or (9 <= datetime.fromtimestamp(t1).hour < 12 and 9 <= datetime.fromtimestamp(t2).hour < 12) or (12 <= datetime.fromtimestamp(t1).hour < 15 and 12 <= datetime.fromtimestamp(t2).hour < 15) or (15 <= datetime.fromtimestamp(t1).hour < 18 and 15 <= datetime.fromtimestamp(t2).hour < 18) or (18 <= datetime.fromtimestamp(t1).hour < 21 and 18 <= datetime.fromtimestamp(t2).hour < 21) or (21 <= datetime.fromtimestamp(t1).hour < 24 and 21 <= datetime.fromtimestamp(t2).hour < 24)12 # return (1 <= datetime.fromtimestamp(t1).hour < 4 and 1 <= datetime.fromtimestamp(t2).hour < 4) or (4 <= datetime.fromtimestamp(t1).hour < 7 and 4 <= datetime.fromtimestamp(t2).hour < 7) or (7 <= datetime.fromtimestamp(t1).hour < 10 and 7 <= datetime.fromtimestamp(t2).hour < 10) or (10 <= datetime.fromtimestamp(t1).hour < 13 and 10 <= datetime.fromtimestamp(t2).hour < 13) or (13 <= datetime.fromtimestamp(t1).hour < 16 and 13 <= datetime.fromtimestamp(t2).hour < 16) or (16 <= datetime.fromtimestamp(t1).hour < 19 and 16 <= datetime.fromtimestamp(t2).hour < 19) or (19 <= datetime.fromtimestamp(t1).hour < 22 and 19 <= datetime.fromtimestamp(t2).hour < 22) or ((22 <= datetime.fromtimestamp(t1).hour < 24 or datetime.fromtimestamp(t1).hour == 0) and (20 <= datetime.fromtimestamp(t2).hour < 23 or datetime.fromtimestamp(t2).hour == 0))13def match(gps1, gps2):14 lat1, lon1, t1 = gps115 lat2, lon2, t2 = gps216 coord1 = (lat1,lon1)17 coord2 = (lat2,lon2)18 r = 637119 dlat = (lat2-lat1) * (math.pi/180)20 dlon = (lon2-lon1) * (math.pi/180)21 a = math.sin(dlat/2) * math.sin(dlat/2) + math.cos(lat1 * (math.pi/180)) * math.cos(lat2 * (math.pi/180)) * math.sin(dlon/2) * math.sin(dlon/2)22 c = 2 * math.atan2(math.sqrt(a), math.sqrt(1-a))23 d = r * c24 return d <= MATCHING_DISTANCE and matchTime(t1, t2)25def trajectory_by_day(fname):26 trajectories = {}27 for i in range(1,8):28 trajectories[i] = []29 trajectory = read_csv(fname)30 print("Read CSV file")31 start = False32 last_date = dt.min33 last_day = 034 for data_tup in trajectory:35 day = datetime.fromtimestamp(data_tup[2]).isoweekday()36 if day == last_day:37 date = dt.fromtimestamp(data_tup[2])38 if date == last_date:39 trajectories[day][-1].append(data_tup)40 else:41 one_trajectory = [data_tup]42 trajectories[day].append(one_trajectory)43 last_date = date44 else:45 date = dt.fromtimestamp(data_tup[2])46 one_trajectory = [data_tup]47 trajectories[day].append(one_trajectory)48 last_date = date49 last_day = day50 return trajectories51# gap -2, match +5, mismatch -352def EDR(t1, t2, mt, ms, gap):53 m, n = len(t1), len(t2)54 matcher = [[0 for x in range(n+1)] for y in range(m+1)]55 backtrack = [[(-1,-1) for x in range(n+1)] for y in range(m+1)]56 maxscore = 057 endposition = (0, 0)58 for i in range(1, m+1):59 for j in range(1, n+1):60 gapAbove = matcher[i-1][j]+gap61 gapLeft = matcher[i][j-1]+gap62 matching = matcher[i-1][j-1] + (mt if match(t1[i-1],t2[j-1]) else ms)63 score = max(0, max(gapAbove, gapLeft, matching)) # if negative, convert to 064 matcher[i][j] = score65 # set backtrack table66 if score == matching:67 backtrack[i][j] = (i-1, j-1)68 elif score == gapAbove:69 backtrack[i][j] = (i-1, j)70 elif score == gapLeft:71 backtrack[i][j] = (i, j-1)72 else:73 backtrack[i][j] = (-1, -1)74 # update maxscore75 if score > maxscore:76 maxscore = score77 endposition = (i, j)78 tempi, tempj = endposition79 while backtrack[tempi][tempj] != (-1, -1):80 tempi, tempj = backtrack[tempi][tempj]81 # calculate time duration of both subtrajectories82 start1 = datetime.fromtimestamp(t1[tempi][2]).isoformat()83 end1 =datetime.fromtimestamp(t1[endposition[0]-1][2]).isoformat()84 start2 = datetime.fromtimestamp(t2[tempj][2]).isoformat()85 end2 =datetime.fromtimestamp(t2[endposition[1]-1][2]).isoformat()86 timeduration1 = t1[endposition[0]-1][2] - t1[tempi][2] # in seconds87 timeduration2 = t2[endposition[1]-1][2] - t2[tempj][2] # in seconds88 return (maxscore, start1, end1, timeduration1, start2, end2, timeduration2)89def EDR_all(traj_dict, fileout, day, mt, ms, gap):90 trajectories = traj_dict[day]91 duration_score_set = []92 duration_score_set.append([])93 duration_score_set.append([])94 with open (fileout, "w") as f:95 for i in range(len(trajectories)-1):96 for j in range(i+1, len(trajectories)-1):97 score, start1, end1, duration1, start2, end2, duration2 = EDR(trajectories[i], trajectories[j], mt, ms, gap)98 line = "Score: " + str(score) + " Duration 1: " + str(duration1) + "s (from " + str(start1) + " to " + str(end1) + ") Duration 2: " + str(duration2) + "s (from " + str(start2) + " to " + str(end2) + ")\n"99 print(line)...
brin_overlap_test.py
Source:brin_overlap_test.py
...4from brin_overlap import compute_overlap, find_position, try_insert5def blknums(brs: list[BlockRange]) -> list[int]:6 return [br.blknum for br in brs]7def test_find_position() -> None:8 a = BlockRange(1, datetime.fromtimestamp(1), datetime.fromtimestamp(2))9 b = BlockRange(2, datetime.fromtimestamp(3), datetime.fromtimestamp(4))10 c = BlockRange(3, datetime.fromtimestamp(5), datetime.fromtimestamp(6))11 assert find_position([b, c], a) == 012 assert find_position([a, c], b) == 113 assert find_position([a, b], c) == 214def test_find_position_equal_endpoints() -> None:15 a = BlockRange(1, datetime.fromtimestamp(1), datetime.fromtimestamp(2))16 b = BlockRange(2, datetime.fromtimestamp(2), datetime.fromtimestamp(3))17 c = BlockRange(3, datetime.fromtimestamp(3), datetime.fromtimestamp(4))18 assert find_position([b, c], a) == 019 assert find_position([a, c], b) == 120 assert find_position([a, b], c) == 221def test_find_position_overlap() -> None:22 a = BlockRange(1, datetime.fromtimestamp(1), datetime.fromtimestamp(2))23 b = BlockRange(2, datetime.fromtimestamp(3), datetime.fromtimestamp(4))24 ab = BlockRange(3, datetime.fromtimestamp(2), datetime.fromtimestamp(4))25 assert find_position([a, b], ab) is None26 assert find_position([a, ab], b) is None27def test_try_insert() -> None:28 a = BlockRange(1, datetime.fromtimestamp(1), datetime.fromtimestamp(2))29 b = BlockRange(2, datetime.fromtimestamp(3), datetime.fromtimestamp(4))30 c = BlockRange(3, datetime.fromtimestamp(5), datetime.fromtimestamp(6))31 level = [a, c]32 assert try_insert(level, b)33 assert blknums(level) == [1, 2, 3]34 level = [a, b]35 assert try_insert(level, c)36 assert blknums(level) == [1, 2, 3]37 level = [b, c]38 assert try_insert(level, a)39 assert blknums(level) == [1, 2, 3]40def test_try_insert_fail() -> None:41 a = BlockRange(1, datetime.fromtimestamp(1), datetime.fromtimestamp(2))42 b = BlockRange(2, datetime.fromtimestamp(3), datetime.fromtimestamp(4))43 ab1 = BlockRange(3, datetime.fromtimestamp(1), datetime.fromtimestamp(4))44 ab2 = BlockRange(3, datetime.fromtimestamp(1), datetime.fromtimestamp(3))45 ab3 = BlockRange(3, datetime.fromtimestamp(2), datetime.fromtimestamp(4))46 levels = [a, b]47 assert not try_insert(levels, ab1)48 assert not try_insert(levels, ab2)49 assert not try_insert(levels, ab3)50def test_try_insert_edge() -> None:51 a = BlockRange(1, datetime.fromtimestamp(1), datetime.fromtimestamp(2))52 b = BlockRange(2, datetime.fromtimestamp(3), datetime.fromtimestamp(4))53 # empty list54 level: list[BlockRange] = []55 assert try_insert(level, a)56 assert blknums(level) == [1]57 # insert before first element58 level = [b]59 assert try_insert(level, a)60 assert blknums(level) == [1, 2]61 # insert after last element62 level = [a]63 assert try_insert(level, b)64 assert blknums(level) == [1, 2]65def test_compute_overlap_ordered() -> None:66 a = BlockRange(1, datetime.fromtimestamp(1), datetime.fromtimestamp(2))67 b = BlockRange(2, datetime.fromtimestamp(3), datetime.fromtimestamp(4))68 c = BlockRange(3, datetime.fromtimestamp(5), datetime.fromtimestamp(6))69 d = BlockRange(4, datetime.fromtimestamp(7), datetime.fromtimestamp(8))70 bro = compute_overlap([a, b, c, d])71 assert bro.min_val.timestamp() == 172 assert bro.max_val.timestamp() == 873 assert bro.min_blknum == 174 assert bro.max_blknum == 475 assert len(bro.levels) == 176 assert blknums(bro.levels[0]) == [1, 2, 3, 4]77def test_compute_overlap_overlap() -> None:78 a = BlockRange(1, datetime.fromtimestamp(1), datetime.fromtimestamp(2))79 b = BlockRange(2, datetime.fromtimestamp(3), datetime.fromtimestamp(4))80 c = BlockRange(3, datetime.fromtimestamp(3), datetime.fromtimestamp(4))81 d = BlockRange(4, datetime.fromtimestamp(1), datetime.fromtimestamp(2))82 bro = compute_overlap([a, b, c, d])83 assert bro.min_val.timestamp() == 184 assert bro.max_val.timestamp() == 485 assert bro.min_blknum == 186 assert bro.max_blknum == 487 assert len(bro.levels) == 288 assert blknums(bro.levels[0]) == [1, 2]...
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