From 55b551995bd933b04a39ff51f594993b726caef1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=9B=D0=B5=D0=BE=D0=BD=D0=B8=D0=B4=20=D0=9C=D0=B0=D0=BB?= =?UTF-8?q?=D0=B0=D1=84=D0=B5=D0=B5=D0=B2?= Date: Fri, 11 Oct 2024 13:44:01 +0400 Subject: [PATCH 1/4] lab1 done --- lab_1/datasetlab1/marketing_campaign.csv | 2241 ++++++++++++++++++++++ lab_1/lab1.ipynb | 163 ++ 2 files changed, 2404 insertions(+) create mode 100644 lab_1/datasetlab1/marketing_campaign.csv create mode 100644 lab_1/lab1.ipynb diff --git a/lab_1/datasetlab1/marketing_campaign.csv b/lab_1/datasetlab1/marketing_campaign.csv new file mode 100644 index 0000000..ecf0643 --- /dev/null +++ b/lab_1/datasetlab1/marketing_campaign.csv @@ -0,0 +1,2241 @@ +ID Year_Birth Education Marital_Status Income Kidhome Teenhome Dt_Customer Recency MntWines MntFruits MntMeatProducts MntFishProducts MntSweetProducts MntGoldProds NumDealsPurchases NumWebPurchases NumCatalogPurchases NumStorePurchases NumWebVisitsMonth AcceptedCmp3 AcceptedCmp4 AcceptedCmp5 AcceptedCmp1 AcceptedCmp2 Complain Z_CostContact Z_Revenue Response +5524 1957 Graduation Single 58138 0 0 04-09-2012 58 635 88 546 172 88 88 3 8 10 4 7 0 0 0 0 0 0 3 11 1 +2174 1954 Graduation Single 46344 1 1 08-03-2014 38 11 1 6 2 1 6 2 1 1 2 5 0 0 0 0 0 0 3 11 0 +4141 1965 Graduation Together 71613 0 0 21-08-2013 26 426 49 127 111 21 42 1 8 2 10 4 0 0 0 0 0 0 3 11 0 +6182 1984 Graduation Together 26646 1 0 10-02-2014 26 11 4 20 10 3 5 2 2 0 4 6 0 0 0 0 0 0 3 11 0 +5324 1981 PhD Married 58293 1 0 19-01-2014 94 173 43 118 46 27 15 5 5 3 6 5 0 0 0 0 0 0 3 11 0 +7446 1967 Master Together 62513 0 1 09-09-2013 16 520 42 98 0 42 14 2 6 4 10 6 0 0 0 0 0 0 3 11 0 +965 1971 Graduation Divorced 55635 0 1 13-11-2012 34 235 65 164 50 49 27 4 7 3 7 6 0 0 0 0 0 0 3 11 0 +6177 1985 PhD Married 33454 1 0 08-05-2013 32 76 10 56 3 1 23 2 4 0 4 8 0 0 0 0 0 0 3 11 0 +4855 1974 PhD Together 30351 1 0 06-06-2013 19 14 0 24 3 3 2 1 3 0 2 9 0 0 0 0 0 0 3 11 1 +5899 1950 PhD Together 5648 1 1 13-03-2014 68 28 0 6 1 1 13 1 1 0 0 20 1 0 0 0 0 0 3 11 0 +1994 1983 Graduation Married 1 0 15-11-2013 11 5 5 6 0 2 1 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +387 1976 Basic Married 7500 0 0 13-11-2012 59 6 16 11 11 1 16 1 2 0 3 8 0 0 0 0 0 0 3 11 0 +2125 1959 Graduation Divorced 63033 0 0 15-11-2013 82 194 61 480 225 112 30 1 3 4 8 2 0 0 0 0 0 0 3 11 0 +8180 1952 Master Divorced 59354 1 1 15-11-2013 53 233 2 53 3 5 14 3 6 1 5 6 0 0 0 0 0 0 3 11 0 +2569 1987 Graduation Married 17323 0 0 10-10-2012 38 3 14 17 6 1 5 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +2114 1946 PhD Single 82800 0 0 24-11-2012 23 1006 22 115 59 68 45 1 7 6 12 3 0 0 1 1 0 0 3 11 1 +9736 1980 Graduation Married 41850 1 1 24-12-2012 51 53 5 19 2 13 4 3 3 0 3 8 0 0 0 0 0 0 3 11 0 +4939 1946 Graduation Together 37760 0 0 31-08-2012 20 84 5 38 150 12 28 2 4 1 6 7 0 0 0 0 0 0 3 11 0 +6565 1949 Master Married 76995 0 1 28-03-2013 91 1012 80 498 0 16 176 2 11 4 9 5 0 0 0 1 0 0 3 11 0 +2278 1985 2n Cycle Single 33812 1 0 03-11-2012 86 4 17 19 30 24 39 2 2 1 3 6 0 0 0 0 0 0 3 11 0 +9360 1982 Graduation Married 37040 0 0 08-08-2012 41 86 2 73 69 38 48 1 4 2 5 8 0 0 0 0 0 0 3 11 0 +5376 1979 Graduation Married 2447 1 0 06-01-2013 42 1 1 1725 1 1 1 15 0 28 0 1 0 0 0 0 0 0 3 11 0 +1993 1949 PhD Married 58607 0 1 23-12-2012 63 867 0 86 0 0 19 3 2 3 9 8 0 1 0 0 0 0 3 11 0 +4047 1954 PhD Married 65324 0 1 11-01-2014 0 384 0 102 21 32 5 3 6 2 9 4 0 0 0 0 0 0 3 11 0 +1409 1951 Graduation Together 40689 0 1 18-03-2013 69 270 3 27 39 6 99 7 7 1 5 8 0 0 0 0 0 0 3 11 0 +7892 1969 Graduation Single 18589 0 0 02-01-2013 89 6 4 25 15 12 13 2 2 1 3 7 0 0 0 0 0 0 3 11 0 +2404 1976 Graduation Married 53359 1 1 27-05-2013 4 173 4 30 3 6 41 4 5 1 4 7 0 0 0 0 0 0 3 11 0 +5255 1986 Graduation Single 1 0 20-02-2013 19 5 1 3 3 263 362 0 27 0 0 1 0 0 0 0 0 0 3 11 0 +9422 1989 Graduation Married 38360 1 0 31-05-2013 26 36 2 42 20 21 10 2 2 1 4 3 0 0 0 0 0 0 3 11 0 +1966 1965 PhD Married 84618 0 0 22-11-2013 96 684 100 801 21 66 0 1 6 9 10 2 0 0 1 0 0 0 3 11 0 +6864 1989 Master Divorced 10979 0 0 22-05-2014 34 8 4 10 2 2 4 2 3 0 3 5 0 0 0 0 0 0 3 11 0 +3033 1963 Master Together 38620 0 0 11-05-2013 56 112 17 44 34 22 89 1 2 5 3 3 0 0 0 0 0 0 3 11 0 +5710 1970 Graduation Together 40548 0 1 10-10-2012 31 110 0 5 2 0 3 2 2 1 4 5 0 1 0 0 0 0 3 11 0 +7373 1952 PhD Divorced 46610 0 2 29-10-2012 8 96 12 96 33 22 43 6 4 1 6 6 0 0 0 0 0 0 3 11 1 +8755 1946 Master Married 68657 0 0 20-02-2013 4 482 34 471 119 68 22 1 3 5 9 7 0 0 0 0 0 0 3 11 0 +10738 1951 Master Single 49389 1 1 29-08-2013 55 40 0 19 2 1 3 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +4339 1970 PhD Married 67353 0 1 31-12-2013 37 702 17 151 0 8 35 5 5 6 12 2 0 0 0 0 0 0 3 11 0 +10755 1976 2n Cycle Married 23718 1 0 02-09-2013 76 6 3 14 15 7 36 3 3 1 2 7 0 0 0 0 0 0 3 11 0 +8595 1973 Graduation Widow 42429 0 1 11-02-2014 99 55 0 6 2 0 4 2 1 1 3 5 0 0 0 0 0 0 3 11 0 +2968 1943 PhD Divorced 48948 0 0 01-02-2013 53 437 8 206 160 49 42 2 7 10 5 6 1 0 0 0 0 0 3 11 1 +8601 1980 Graduation Married 80011 0 1 29-04-2013 3 421 76 536 82 178 102 2 8 6 5 4 0 0 0 0 0 0 3 11 0 +503 1985 Master Married 20559 1 0 12-03-2013 88 13 1 29 3 0 7 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +8430 1957 Graduation Together 21994 0 1 24-12-2012 4 9 0 6 3 1 3 1 0 0 3 5 0 0 0 0 0 0 3 11 0 +7281 1959 PhD Single 0 0 05-11-2013 80 81 11 50 3 2 39 1 1 3 4 2 0 0 0 0 0 0 3 11 0 +2139 1975 Master Married 7500 1 0 02-10-2013 19 3 1 10 3 2 12 3 2 0 3 5 0 0 0 0 0 0 3 11 0 +1371 1976 Graduation Single 79941 0 0 28-06-2014 72 123 164 266 227 30 174 1 2 4 9 1 0 0 0 0 0 0 3 11 0 +9909 1996 2n Cycle Married 7500 0 0 09-11-2012 24 3 18 14 15 22 50 3 3 1 3 9 0 0 0 0 0 0 3 11 1 +7286 1968 Graduation Together 41728 1 0 24-05-2013 92 13 6 15 3 5 13 1 2 0 2 10 0 0 0 0 0 0 3 11 0 +7244 1951 Graduation Single 2 1 01-01-2014 96 48 5 48 6 10 7 3 2 1 4 6 0 0 0 0 0 0 3 11 0 +6566 1954 PhD Married 72550 1 1 08-11-2012 39 826 50 317 50 38 38 9 5 2 12 8 0 0 0 0 0 0 3 11 0 +8614 1957 Graduation Widow 65486 0 1 12-05-2014 29 245 19 125 37 67 14 1 4 2 10 2 0 0 0 0 0 0 3 11 0 +4114 1964 Master Married 79143 0 0 11-08-2012 2 650 37 780 27 167 32 1 6 9 13 3 0 0 0 0 0 0 3 11 0 +1331 1977 Graduation Single 35790 1 0 02-01-2013 54 12 6 20 30 1 3 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +2225 1977 Graduation Divorced 82582 0 0 07-06-2014 54 510 120 550 156 40 241 1 4 9 7 1 1 0 0 1 0 0 3 11 1 +9381 1978 Graduation Married 66373 1 1 12-06-2013 57 328 9 124 12 24 109 7 4 2 10 3 0 0 0 0 0 0 3 11 0 +6260 1955 Master Together 82384 0 0 19-11-2012 55 984 51 432 180 120 190 1 3 10 13 1 0 0 1 0 0 0 3 11 1 +10383 1966 Graduation Divorced 70287 0 0 02-04-2013 30 295 35 482 121 120 40 1 5 5 10 3 0 0 0 0 0 0 3 11 1 +7437 1988 Graduation Single 27938 1 0 28-04-2014 31 13 0 8 2 1 5 1 1 0 4 3 0 0 0 0 0 0 3 11 0 +8557 1982 Graduation Single 1 0 17-06-2013 57 11 3 22 2 2 6 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +8375 1968 PhD Married 55954 0 1 03-03-2014 63 447 0 28 0 0 43 3 8 2 6 7 0 0 0 0 0 0 3 11 0 +6853 1982 Master Single 75777 0 0 04-07-2013 12 712 26 538 69 13 80 1 3 6 11 1 0 1 1 0 0 0 3 11 1 +3076 1975 Graduation Together 66653 1 1 07-09-2012 18 452 18 102 16 18 6 4 4 2 12 3 0 0 0 0 0 0 3 11 0 +1012 1952 Graduation Single 61823 0 1 18-02-2013 26 523 7 134 37 14 169 4 8 2 10 7 0 0 0 0 0 0 3 11 0 +6518 1951 PhD Widow 67680 0 1 11-06-2013 8 546 0 48 0 6 6 1 7 3 8 5 0 0 0 0 0 0 3 11 0 +4137 1948 Graduation Together 70666 0 0 06-12-2013 29 398 40 367 119 122 30 1 7 4 4 4 0 0 0 0 0 0 3 11 0 +8082 1971 Graduation Married 25721 1 0 21-05-2013 75 1 3 6 3 6 15 1 1 1 2 7 0 0 0 0 0 0 3 11 1 +1386 1967 Graduation Together 32474 1 1 11-05-2014 0 10 0 1 0 0 0 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +9369 1979 2n Cycle Single 88194 0 1 19-03-2014 19 688 14 309 201 24 38 1 11 10 10 5 1 0 0 1 0 0 3 11 1 +4477 1958 Graduation Together 69096 0 1 27-09-2013 4 247 49 159 7 82 109 1 5 2 10 4 0 0 0 0 0 0 3 11 0 +1357 1970 Graduation Together 74854 1 2 08-04-2013 90 856 59 487 58 29 73 7 2 5 5 5 0 0 0 0 0 0 3 11 0 +1402 1954 Master Married 66991 0 0 11-09-2012 1 496 36 460 189 60 12 3 4 8 6 3 0 0 0 0 0 0 3 11 0 +10629 1973 2n Cycle Married 1 0 14-09-2012 25 25 3 43 17 4 17 3 3 0 3 8 0 0 0 0 0 0 3 11 0 +6312 1959 Graduation Married 65031 0 1 17-03-2013 29 258 107 291 84 37 86 4 10 3 13 7 0 0 0 0 0 0 3 11 0 +8132 1975 PhD Married 60631 1 1 05-04-2013 88 565 6 65 0 6 19 5 9 2 8 7 0 1 0 0 0 0 3 11 0 +1050 1952 Graduation Married 28332 0 0 30-04-2014 58 14 10 13 4 15 9 1 2 1 4 2 0 0 0 0 0 0 3 11 0 +5846 1977 Graduation Divorced 40246 1 0 19-12-2012 68 2 1 6 2 1 1 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +1859 1972 Master Married 75251 0 0 27-08-2012 34 721 111 925 97 18 18 1 7 6 5 5 0 0 0 0 0 0 3 11 1 +7503 1976 Graduation Single 75825 0 0 12-10-2012 40 1032 105 779 137 105 51 0 5 8 9 4 1 0 0 0 0 0 3 11 1 +10401 1976 2n Cycle Together 26326 0 0 04-09-2013 12 1 0 5 0 3 9 1 0 0 3 3 0 0 0 0 0 1 3 11 0 +1618 1965 Graduation Together 56046 0 0 02-01-2013 9 577 0 64 0 0 51 2 10 1 8 8 1 0 0 0 0 0 3 11 1 +3332 1985 Graduation Single 29760 1 0 29-08-2012 87 64 4 68 7 5 17 4 3 1 4 8 0 0 0 0 0 0 3 11 0 +2261 1969 Graduation Married 26304 1 0 23-06-2013 5 4 1 5 2 0 4 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +5346 1973 2n Cycle Married 23559 1 0 03-07-2013 87 25 5 19 7 0 23 3 3 0 3 7 0 0 0 0 0 0 3 11 0 +4119 1963 Master Together 38620 0 0 11-05-2013 56 112 17 44 34 22 89 1 2 5 3 3 0 0 0 0 0 0 3 11 0 +535 1987 Graduation Divorced 81361 0 0 25-02-2014 18 163 23 424 27 65 76 1 3 10 13 1 0 0 0 0 0 0 3 11 0 +5268 1960 Graduation Married 29440 1 1 11-08-2013 95 17 8 14 10 4 3 2 1 0 4 7 0 0 0 0 0 0 3 11 0 +273 1970 Master Married 36138 1 1 16-07-2013 48 130 0 16 0 0 5 5 3 1 4 7 0 1 0 0 0 0 3 11 0 +4452 1957 Graduation Single 50388 0 1 28-05-2014 3 292 6 37 0 3 34 4 6 1 6 7 0 1 0 1 0 0 3 11 1 +8504 1973 Graduation Married 79593 0 0 12-05-2014 70 350 60 568 110 133 145 1 5 6 7 2 0 0 1 0 0 0 3 11 0 +771 1967 Graduation Together 54178 0 1 21-01-2014 79 135 9 39 4 0 7 1 2 2 5 2 0 0 0 0 0 0 3 11 0 +8996 1957 PhD Married 2 1 19-11-2012 4 230 42 192 49 37 53 12 7 2 8 9 0 0 0 0 0 0 3 11 0 +9235 1957 Graduation Single 1 1 27-05-2014 45 7 0 8 2 0 1 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +5798 1973 Master Together 0 0 23-11-2013 87 445 37 359 98 28 18 1 2 4 8 1 0 0 0 0 0 0 3 11 0 +11178 1972 Master Single 42394 1 0 23-03-2014 69 15 2 10 0 1 4 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +2230 1970 PhD Married 23626 1 0 24-05-2014 84 27 2 14 0 0 0 3 3 1 3 5 0 0 0 0 0 0 3 11 0 +7516 1983 Graduation Married 30096 1 0 22-05-2014 30 5 3 11 12 5 9 1 2 0 3 6 0 0 0 0 0 0 3 11 0 +7247 1960 Graduation Widow 47916 0 1 22-11-2012 72 505 0 26 0 0 75 5 7 4 6 6 0 1 0 0 0 0 3 11 0 +11100 1972 Graduation Divorced 51813 1 1 11-04-2013 37 51 2 7 0 1 2 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +4646 1951 2n Cycle Married 78497 0 0 01-12-2013 44 207 26 447 75 0 223 1 5 7 12 2 0 0 0 1 0 0 3 11 0 +3037 1983 PhD Married 50150 0 0 20-06-2013 32 135 46 92 65 61 11 2 5 2 7 5 0 0 0 0 0 0 3 11 0 +1473 1960 2n Cycle Single 47823 0 1 23-07-2013 0 53 1 5 2 1 10 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +1016 1959 PhD Single 34554 0 1 30-03-2014 43 41 1 6 2 0 5 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +4518 1979 Graduation Together 85693 0 1 20-04-2013 59 386 172 183 185 132 111 2 9 5 11 5 0 0 0 0 0 0 3 11 0 +9370 1945 PhD Married 65846 0 0 17-05-2013 68 562 81 276 80 40 81 1 6 3 6 4 0 0 0 0 0 0 3 11 0 +8908 1959 Graduation Married 87195 0 0 08-05-2014 35 217 76 690 50 26 38 1 3 11 5 1 0 0 0 0 0 0 3 11 1 +8373 1979 Basic Together 24594 1 0 10-12-2013 94 1 3 6 10 0 9 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +7533 1964 Graduation Married 49096 1 1 24-09-2013 15 144 1 32 2 1 7 4 4 1 4 7 0 0 0 0 0 0 3 11 0 +2683 1969 Graduation Married 52413 0 2 02-02-2013 56 295 106 271 75 98 65 4 6 4 12 6 0 0 0 0 0 0 3 11 0 +3629 1978 Graduation Single 38557 1 0 19-12-2012 17 76 3 31 4 4 27 2 3 1 3 7 0 0 0 0 0 0 3 11 0 +10991 1960 Master Married 89058 0 0 07-12-2012 18 454 194 106 31 22 43 1 5 4 4 2 0 0 0 0 0 0 3 11 0 +5077 1979 Graduation Together 77298 0 1 02-11-2013 46 425 115 292 23 35 79 1 6 6 11 3 0 0 0 0 0 0 3 11 0 +7431 1991 PhD Single 68126 0 0 10-11-2012 40 1332 17 311 23 51 86 1 7 4 5 9 0 1 0 0 0 0 3 11 1 +3267 1963 Master Together 57288 0 1 25-06-2014 27 527 0 21 0 0 60 3 8 1 8 6 0 1 0 0 0 0 3 11 0 +999 1991 Graduation Single 86037 0 0 02-01-2013 95 490 44 125 29 20 22 1 6 7 11 3 0 1 1 0 0 0 3 11 1 +9215 1980 PhD Married 43974 1 0 12-12-2012 19 378 0 101 0 0 72 5 6 4 6 7 0 0 0 0 0 0 3 11 0 +2286 1962 Graduation Single 50785 1 1 10-09-2013 27 64 1 21 0 1 27 2 2 1 3 6 0 0 0 0 0 0 3 11 0 +1592 1970 Graduation Married 90765 0 0 24-01-2014 25 547 99 812 151 82 33 0 4 6 5 1 0 0 1 1 0 0 3 11 0 +367 1978 2n Cycle Married 36550 1 0 19-02-2013 74 47 90 94 123 103 120 5 9 1 5 9 0 0 0 0 0 0 3 11 0 +5234 1967 2n Cycle Together 30753 1 1 11-07-2013 85 12 5 25 0 9 30 2 1 1 3 5 0 0 0 0 0 0 3 11 0 +9862 1969 Graduation Together 21918 1 0 14-11-2013 37 1 6 7 11 5 3 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +9805 1953 Master Together 56129 0 1 20-06-2013 65 320 48 133 39 72 48 4 6 2 10 4 0 0 0 0 0 0 3 11 0 +6205 1967 Master Single 32557 1 0 24-02-2014 13 34 3 29 0 4 10 3 2 1 3 5 0 0 0 0 0 0 3 11 1 +8442 1985 Master Married 19510 2 0 04-09-2013 63 9 0 7 3 4 7 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +7386 1976 Graduation Divorced 30992 1 0 22-04-2013 83 17 0 14 7 3 2 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +7215 1983 Graduation Single 101970 0 0 12-03-2013 69 722 27 102 44 72 168 0 6 8 13 2 0 1 1 1 0 0 3 11 1 +1491 1965 2n Cycle Together 71488 0 0 18-02-2013 87 162 33 124 40 28 172 2 3 4 7 1 0 0 0 0 0 0 3 11 0 +11071 1984 Graduation Single 79607 0 0 21-04-2013 37 450 133 951 173 0 216 1 3 6 6 1 0 0 0 0 0 0 3 11 1 +3381 1953 Master Married 54348 1 1 08-06-2014 51 70 0 16 0 0 4 2 2 0 4 6 0 0 0 0 0 0 3 11 0 +8268 1961 PhD Married 0 1 11-07-2013 23 352 0 27 10 0 15 3 6 1 7 6 0 0 0 0 0 0 3 11 0 +11051 1956 PhD Together 77376 1 1 10-05-2014 72 492 19 110 16 12 12 4 6 3 10 4 0 0 0 0 0 0 3 11 0 +8026 1952 Graduation Married 62998 0 1 30-09-2013 10 120 58 73 65 89 58 5 5 4 5 5 0 0 0 0 0 0 3 11 0 +433 1958 Master Alone 61331 1 1 10-03-2013 42 534 5 47 0 5 41 5 11 1 6 8 0 0 0 0 0 0 3 11 0 +9597 1969 Graduation Married 73448 0 0 10-02-2014 10 236 106 189 23 41 130 1 7 2 9 4 0 0 0 0 0 0 3 11 0 +1295 1963 Graduation Married 0 1 11-08-2013 96 231 65 196 38 71 124 1 6 5 7 4 0 0 0 0 0 0 3 11 0 +5290 1964 PhD Married 41551 1 1 14-08-2013 51 220 0 33 3 0 23 5 5 1 5 8 0 0 0 0 0 0 3 11 0 +1685 1967 PhD Together 62981 0 0 17-03-2013 21 796 14 590 38 44 0 1 4 5 13 3 0 1 0 0 0 0 3 11 0 +5342 1976 Basic Divorced 9548 1 0 08-08-2012 31 0 1 3 10 6 9 2 1 0 3 8 0 0 0 0 0 0 3 11 0 +9579 1959 PhD Married 33762 2 1 07-07-2013 61 53 1 34 2 0 16 3 2 2 2 8 0 0 0 0 0 0 3 11 0 +7660 1973 PhD Alone 35860 1 1 19-05-2014 37 15 0 8 4 2 20 2 1 1 2 5 1 0 0 0 0 0 3 11 1 +1461 1965 PhD Divorced 36921 1 1 28-07-2013 74 17 1 12 3 1 4 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +821 1992 Master Single 92859 0 0 19-10-2012 46 962 61 921 52 61 20 1 5 4 12 2 0 0 0 0 0 0 3 11 0 +11084 1976 Master Together 65104 0 1 14-11-2013 4 738 0 232 13 20 50 2 3 5 7 7 0 0 0 0 0 0 3 11 1 +8690 1962 Graduation Married 86111 0 0 19-04-2013 73 399 28 756 36 40 126 1 5 7 10 2 0 0 0 0 0 0 3 11 0 +2937 1974 PhD Single 68352 0 1 28-08-2013 47 614 16 132 43 33 33 3 8 5 9 6 0 0 0 0 0 0 3 11 0 +9701 1988 Graduation Together 41883 1 0 19-03-2013 13 32 34 41 73 16 116 3 4 2 3 7 0 0 0 0 0 0 3 11 0 +9949 1976 Graduation Married 59809 0 2 18-10-2012 36 598 16 141 32 41 49 3 3 3 6 8 0 0 0 0 0 0 3 11 0 +10837 1975 Graduation Married 23957 1 0 28-10-2012 47 2 1 18 20 11 16 1 2 0 3 6 0 0 0 0 0 0 3 11 1 +3120 1981 Graduation Together 38547 1 0 28-08-2013 49 6 1 10 0 1 4 1 1 0 2 8 0 0 0 0 0 1 3 11 0 +5885 1973 2n Cycle Married 35688 2 1 22-08-2012 94 73 3 90 12 1 32 7 4 1 4 8 0 0 0 0 0 0 3 11 0 +4050 1966 Master Married 49605 0 0 21-06-2014 65 42 16 29 12 20 8 1 2 1 4 3 0 0 0 0 0 0 3 11 0 +3830 1953 Master Married 59354 0 2 24-04-2014 59 295 21 78 39 13 13 1 4 4 7 3 0 0 0 0 0 0 3 11 0 +7987 1969 Graduation Married 65747 0 1 07-03-2014 96 346 17 48 23 13 13 4 8 1 6 6 0 1 0 0 0 0 3 11 0 +7798 1972 2n Cycle Together 46344 0 1 14-12-2012 28 233 20 57 8 20 91 4 7 1 5 7 0 0 0 0 0 0 3 11 0 +92 1988 Graduation Alone 34176 1 0 12-05-2014 12 5 7 24 19 14 20 4 3 0 4 6 0 0 0 0 0 0 3 11 0 +7055 1952 PhD Together 61010 0 1 09-10-2012 57 888 0 57 0 0 76 2 8 5 11 5 0 0 0 0 0 0 3 11 0 +10240 1949 Graduation Together 69372 0 0 19-02-2013 10 997 26 269 34 13 42 1 10 4 6 4 0 1 1 0 0 0 3 11 1 +3025 1958 Graduation Single 49967 0 1 08-07-2013 4 212 6 69 4 12 3 3 6 1 5 7 0 0 0 0 0 0 3 11 0 +9283 1978 Graduation Single 60199 1 2 12-09-2013 49 8 1 7 2 0 0 1 0 0 3 4 0 0 0 0 0 0 3 11 0 +9970 1977 Graduation Together 55375 0 1 17-10-2013 3 42 11 57 10 28 14 1 1 1 6 2 0 0 0 0 0 0 3 11 0 +2730 1955 Graduation Single 80317 0 0 20-08-2013 64 536 11 387 149 91 57 1 3 4 10 1 0 0 0 0 0 0 3 11 0 +2795 1958 Master Single 30523 2 1 01-07-2013 0 5 0 3 0 0 5 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +9260 1945 PhD Married 70356 0 0 05-11-2012 20 1349 16 249 43 16 33 2 10 6 9 6 0 0 0 0 0 0 3 11 0 +8182 1984 Graduation Married 23228 1 0 05-01-2014 91 53 3 49 7 4 5 4 3 0 4 8 0 0 0 0 0 0 3 11 0 +10095 1975 PhD Divorced 74165 0 0 01-05-2013 9 1001 12 240 16 12 12 1 5 4 10 2 0 0 0 0 0 0 3 11 0 +8475 1973 PhD Married 157243 0 1 01-03-2014 98 20 2 1582 1 2 1 15 0 22 0 0 0 0 0 0 0 0 3 11 0 +4370 1966 Graduation Together 43482 2 1 13-11-2013 83 18 1 32 6 3 28 3 2 0 4 6 0 0 0 0 0 0 3 11 0 +10573 1953 Graduation Divorced 62551 0 0 18-11-2013 27 125 16 98 134 21 27 1 6 7 4 3 1 0 0 0 0 0 3 11 0 +3712 1959 Graduation Divorced 52332 0 0 28-08-2013 63 212 5 33 7 0 2 1 3 2 6 4 0 1 0 0 0 0 3 11 0 +6637 1988 Graduation Single 66951 0 0 02-11-2013 46 277 162 305 173 76 124 1 3 4 7 1 0 0 0 0 0 0 3 11 0 +3152 1957 Graduation Together 26091 1 1 25-02-2014 84 15 10 19 8 17 20 3 2 1 3 5 0 0 0 0 0 0 3 11 0 +5610 1965 Graduation Together 33456 1 1 21-04-2014 58 7 3 10 8 1 7 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +6460 1982 Graduation Married 28718 1 0 13-07-2013 78 12 4 6 11 8 16 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +1349 1970 Graduation Married 50447 2 0 21-04-2014 4 85 7 24 2 3 27 1 3 1 3 6 0 0 0 0 0 0 3 11 0 +1880 1959 PhD Together 53537 1 1 30-01-2014 17 81 0 6 0 0 6 2 2 1 3 5 0 0 0 0 0 0 3 11 0 +641 1967 Graduation Single 52074 0 1 04-04-2014 77 59 0 12 0 0 48 1 2 2 2 4 1 0 0 0 0 0 3 11 0 +8717 1975 PhD Married 80427 0 1 12-09-2012 56 1149 71 449 69 71 26 1 11 8 8 5 0 0 0 0 0 0 3 11 0 +10314 1948 PhD Married 83837 0 0 16-12-2012 79 847 66 119 86 89 111 1 9 10 5 4 0 1 0 1 0 0 3 11 1 +10854 1970 PhD Married 38853 1 1 23-05-2014 90 29 0 14 0 0 2 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +10492 1959 Graduation Together 38285 2 1 24-06-2014 96 2 0 5 2 0 1 1 0 0 3 2 0 0 0 0 0 0 3 11 0 +6935 1951 2n Cycle Married 78497 0 0 01-12-2013 44 207 26 447 75 0 223 1 5 7 12 2 0 0 0 1 0 0 3 11 0 +7698 1976 PhD Married 51650 0 1 11-05-2014 81 152 3 22 2 5 7 1 4 1 4 5 0 0 0 0 0 0 3 11 0 +3559 1988 2n Cycle Married 16248 1 0 10-05-2014 77 12 11 10 3 12 9 3 2 1 3 6 0 0 0 0 0 0 3 11 0 +10562 1946 Master Married 66835 0 0 28-09-2013 21 620 26 195 34 17 141 1 6 4 13 2 0 0 0 0 0 0 3 11 0 +10796 1984 Master Married 30477 1 0 22-01-2014 16 47 1 6 0 0 12 1 1 1 3 6 0 0 0 0 0 0 3 11 0 +2563 1961 Basic Married 28249 0 0 15-06-2014 80 1 9 7 2 14 10 1 2 0 3 6 0 0 0 0 0 0 3 11 0 +3518 1983 Graduation Married 25271 1 0 05-12-2012 45 10 1 18 10 4 7 1 1 1 2 9 0 0 0 0 0 0 3 11 0 +5823 1970 PhD Single 32303 0 1 08-03-2014 63 35 0 2 0 0 2 2 1 0 4 5 0 0 0 0 0 0 3 11 0 +3934 1966 Graduation Married 61286 0 1 02-08-2013 34 356 0 107 19 9 117 2 7 1 8 5 0 0 0 0 0 0 3 11 0 +6982 1976 Graduation Married 74068 0 0 19-03-2013 14 783 30 537 140 76 15 1 4 10 9 2 0 0 0 0 0 0 3 11 0 +6431 1964 PhD Married 45759 1 1 23-02-2013 13 42 1 18 3 0 4 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +9733 1978 Basic Together 24882 1 0 09-09-2012 52 1 4 10 29 0 36 1 1 1 2 6 1 0 0 0 0 0 3 11 0 +5602 1989 PhD Together 66973 0 0 17-05-2013 98 466 22 432 147 113 102 1 8 7 12 3 0 0 0 0 0 0 3 11 0 +7829 1900 2n Cycle Divorced 36640 1 0 26-09-2013 99 15 6 8 7 4 25 1 2 1 2 5 0 0 0 0 0 1 3 11 0 +1324 1988 Graduation Married 38872 1 0 30-05-2013 93 23 3 21 3 19 22 2 3 0 3 8 0 0 0 0 0 0 3 11 0 +326 1973 Graduation Married 51148 1 1 18-02-2013 38 235 6 45 8 9 12 4 5 1 6 6 0 0 0 0 0 0 3 11 0 +7224 1977 Graduation Married 31353 1 1 29-12-2013 24 10 0 10 3 1 7 2 1 1 2 8 0 0 0 0 0 0 3 11 0 +6999 1980 Master Married 69661 0 0 13-05-2014 80 656 16 106 32 16 8 1 7 3 12 3 0 0 0 0 0 0 3 11 0 +9938 1954 Graduation Married 80067 0 0 19-09-2013 82 519 17 813 27 173 51 1 4 6 6 2 0 0 1 0 0 0 3 11 0 +6422 1954 Graduation Married 86718 0 0 17-01-2013 20 344 189 482 50 33 172 1 5 6 5 2 0 0 0 0 0 0 3 11 0 +3182 1973 PhD Single 46854 1 1 31-03-2014 81 96 1 79 7 1 79 6 5 1 3 8 1 0 0 0 0 0 3 11 1 +7300 1952 Graduation Divorced 69142 0 1 29-06-2014 50 448 4 34 6 4 39 3 8 1 7 5 0 1 0 0 0 0 3 11 0 +10424 1968 Graduation Single 75922 0 0 09-12-2013 60 265 138 553 224 23 92 1 4 4 9 1 0 0 0 0 0 0 3 11 0 +8727 1978 Graduation Divorced 63693 0 1 14-10-2013 63 587 43 337 42 87 54 3 11 6 9 6 0 0 0 0 0 0 3 11 0 +2798 1977 PhD Together 102160 0 0 02-11-2012 54 763 29 138 76 176 58 0 7 9 10 4 0 1 1 1 0 0 3 11 1 +1030 1965 PhD Single 40637 1 1 17-07-2013 72 22 0 13 0 0 3 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +624 1984 Master Single 18890 0 0 10-11-2012 5 6 4 1 7 2 15 1 0 1 2 6 1 0 0 0 0 0 3 11 1 +5176 1988 Graduation Together 29604 1 0 08-12-2013 88 7 6 13 7 6 14 1 1 0 3 9 1 0 0 0 0 0 3 11 0 +5552 1963 Master Divorced 48721 1 1 13-05-2013 50 81 18 113 47 13 21 6 4 2 5 6 0 0 0 0 0 0 3 11 0 +868 1966 Graduation Married 44794 0 1 08-06-2014 99 54 0 7 0 0 4 1 2 0 3 6 0 0 0 0 0 0 3 11 0 +380 1954 Graduation Divorced 64497 0 1 10-09-2012 17 1170 48 320 42 32 192 5 11 4 9 8 1 0 0 0 0 0 3 11 1 +2677 1956 Graduation Together 46097 0 1 31-03-2013 11 72 24 68 65 4 8 5 3 1 6 4 0 0 0 0 0 0 3 11 0 +6521 1954 Graduation Together 77972 0 0 18-03-2014 18 613 22 319 33 102 12 1 4 6 9 1 0 0 0 0 0 0 3 11 0 +6927 1968 PhD Married 44377 1 1 05-10-2012 70 224 0 30 0 0 10 8 5 1 5 8 0 0 0 0 0 0 3 11 0 +2877 1974 Master Together 46014 1 1 21-01-2013 21 410 0 59 19 9 44 10 7 1 8 7 0 0 0 0 0 0 3 11 0 +0 1985 Graduation Married 70951 0 0 04-05-2013 66 239 10 554 254 87 54 1 3 4 9 1 0 0 0 0 0 0 3 11 0 +1584 1977 Graduation Married 41443 1 0 01-04-2014 79 171 7 171 25 19 89 6 8 1 5 8 0 0 0 0 0 0 3 11 0 +7264 1978 2n Cycle Single 52195 2 1 12-05-2014 2 12 0 4 0 0 1 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +6274 1948 Master Married 83790 0 0 15-11-2013 81 1076 16 417 42 48 16 1 8 10 6 3 0 1 1 0 0 0 3 11 0 +1377 1954 Master Widow 44551 0 1 31-08-2013 24 182 4 33 0 0 66 2 4 1 5 7 0 0 0 0 0 0 3 11 0 +454 1980 Graduation Together 69508 1 0 14-11-2012 48 824 32 162 42 32 43 2 11 4 11 6 0 0 0 0 0 0 3 11 0 +1755 1988 2n Cycle Together 45204 1 0 11-04-2014 93 30 11 25 29 1 18 1 1 1 4 3 0 0 0 0 0 0 3 11 0 +2075 1969 Graduation Married 72460 0 0 14-11-2013 56 377 10 540 80 30 10 1 3 5 7 1 0 0 0 0 0 0 3 11 0 +4785 1970 PhD Together 77622 0 2 14-04-2014 3 520 7 154 19 0 14 2 6 3 11 3 0 0 0 0 0 0 3 11 0 +9076 1980 PhD Married 30732 1 0 05-01-2013 44 155 1 25 0 1 3 4 4 1 4 8 0 0 0 0 0 0 3 11 0 +7079 1962 Graduation Divorced 63887 0 1 08-09-2012 38 897 23 207 15 11 92 5 9 6 12 6 0 0 0 0 0 0 3 11 0 +4653 1978 Graduation Together 42011 1 0 26-03-2013 46 131 0 16 2 1 39 4 3 1 4 8 0 0 0 0 0 0 3 11 0 +7375 1976 Graduation Together 51369 0 1 25-10-2012 84 297 7 79 0 11 182 2 8 2 4 8 0 0 0 0 0 0 3 11 0 +709 1952 Graduation Divorced 51537 0 1 09-12-2012 27 787 20 204 0 0 92 3 2 2 11 8 0 0 0 0 0 0 3 11 0 +460 1972 PhD Married 79930 0 0 08-08-2012 72 792 86 740 67 51 17 1 3 5 8 2 0 0 0 0 0 0 3 11 0 +3726 1986 PhD Together 34320 1 0 16-02-2014 66 4 1 9 3 0 0 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +6798 1966 Graduation Single 37070 1 1 20-03-2013 30 231 7 137 4 15 39 9 5 1 8 7 0 0 0 0 0 0 3 11 1 +5341 1962 2n Cycle Divorced 81975 0 1 05-01-2013 2 983 76 184 180 138 27 1 6 3 4 7 0 0 1 0 0 0 3 11 0 +1606 1971 Graduation Together 38590 1 0 15-05-2013 65 3 1 8 4 3 3 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +9617 1951 Graduation Single 15033 0 0 16-04-2014 37 0 4 5 6 0 4 1 1 0 3 3 0 0 0 0 0 0 3 11 0 +3233 1965 PhD Married 62745 0 1 23-03-2013 89 562 21 464 28 10 32 3 7 8 11 5 0 0 0 0 0 0 3 11 0 +89 1975 2n Cycle Married 22212 1 0 09-12-2013 49 5 9 20 6 8 21 2 2 0 4 6 0 0 0 0 0 0 3 11 0 +2936 1982 Master Together 23661 1 0 04-12-2013 46 18 0 4 0 0 1 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +9449 1958 PhD Single 79761 0 1 04-10-2013 32 415 5 124 15 35 11 1 5 2 11 3 0 0 0 0 0 0 3 11 0 +7297 1973 Graduation Single 7500 1 0 26-12-2013 54 5 3 10 12 7 20 4 3 1 3 7 0 0 0 0 0 0 3 11 0 +11004 1893 2n Cycle Single 60182 0 1 17-05-2014 23 8 0 5 7 0 2 1 1 0 2 4 0 0 0 0 0 0 3 11 0 +313 1968 Graduation Widow 73455 0 0 28-10-2013 98 901 61 757 186 163 20 1 6 5 10 3 0 1 0 0 0 0 3 11 0 +9940 1958 Graduation Together 64961 0 1 23-12-2012 97 382 114 276 75 124 38 2 6 4 4 3 0 0 0 0 0 0 3 11 0 +10735 1971 Graduation Single 22804 1 0 31-07-2013 75 14 1 7 2 1 1 1 2 0 2 9 0 0 0 0 0 0 3 11 0 +9529 1990 Graduation Married 73687 0 0 28-11-2013 8 559 153 503 218 13 181 1 3 9 9 2 0 0 0 1 0 0 3 11 1 +6439 1958 Graduation Married 61074 0 1 17-08-2012 37 789 0 133 0 28 152 7 11 5 8 7 0 0 0 0 0 0 3 11 0 +7411 1964 PhD Married 31686 1 1 05-06-2014 31 11 0 5 0 0 1 2 1 0 3 6 0 0 0 0 0 0 3 11 0 +2176 1972 Graduation Married 80134 1 0 20-05-2013 40 1218 16 272 104 0 80 2 5 3 6 6 0 1 1 1 0 0 3 11 1 +9265 1953 Graduation Married 75027 0 1 09-01-2013 74 925 64 179 133 12 77 2 9 4 6 5 0 0 0 0 0 0 3 11 0 +8867 1988 PhD Married 67546 0 0 31-08-2012 90 864 134 768 150 38 172 1 4 10 5 3 0 0 0 0 0 0 3 11 0 +8932 1969 Master Together 65176 0 1 29-10-2012 57 960 28 183 220 70 70 4 9 6 6 6 0 0 0 0 0 0 3 11 0 +10236 1975 Master Single 31160 1 0 16-09-2013 59 16 3 25 6 1 13 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +6340 1985 Graduation Single 29938 1 0 27-10-2013 52 3 3 7 0 2 11 2 1 0 3 6 0 0 0 0 0 0 3 11 0 +10089 1974 Graduation Divorced 102692 0 0 05-04-2013 5 168 148 444 32 172 148 1 6 9 13 2 0 1 1 1 1 0 3 11 1 +2227 1958 2n Cycle Together 26490 0 0 22-09-2012 92 45 47 52 21 20 25 2 3 1 5 6 0 0 0 0 0 0 3 11 0 +10992 1967 Graduation Together 75702 1 1 29-08-2012 77 650 28 353 45 42 30 5 4 6 11 8 0 0 0 0 0 0 3 11 0 +5304 1974 PhD Single 30899 1 0 13-10-2012 35 24 0 8 0 0 1 2 1 0 3 6 0 0 0 0 0 0 3 11 0 +309 1961 PhD Together 63342 0 1 16-10-2012 48 918 21 118 13 10 21 3 8 3 5 6 0 1 0 0 0 0 3 11 0 +3406 1964 Graduation Single 45989 0 1 22-10-2012 97 138 33 87 28 24 12 4 3 2 7 3 0 0 0 0 0 0 3 11 0 +2661 1964 Graduation Single 18701 1 1 04-06-2013 95 12 4 2 10 6 10 4 2 0 4 5 0 0 0 0 0 0 3 11 0 +3153 1957 PhD Single 40737 2 1 08-12-2013 24 11 0 4 0 0 2 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +10264 1979 Graduation Divorced 15287 1 0 10-10-2012 60 1 2 8 4 3 13 2 1 1 2 7 1 0 0 0 0 0 3 11 1 +1184 1968 PhD Divorced 69674 0 2 22-05-2013 46 554 41 215 11 0 24 3 10 2 10 5 0 0 0 0 0 0 3 11 0 +4200 1970 Master Married 44159 1 0 17-06-2014 85 167 2 62 24 13 7 4 4 1 6 5 0 0 0 0 0 0 3 11 0 +9396 1978 PhD Married 37717 1 0 23-11-2012 31 9 0 6 4 1 5 1 1 0 2 9 0 0 0 0 0 0 3 11 0 +2387 1952 Master Together 43776 1 1 03-02-2013 9 177 2 71 3 2 20 6 5 2 4 8 0 0 0 0 0 0 3 11 1 +6690 1966 Master Married 38179 1 1 14-03-2013 30 38 4 22 4 2 20 4 3 1 3 7 0 0 0 0 0 0 3 11 0 +1225 1963 Graduation Married 80124 0 0 26-06-2014 47 483 84 398 205 84 241 1 3 7 8 1 1 0 0 0 0 0 3 11 0 +9703 1970 PhD Married 38097 1 1 15-10-2012 70 77 2 35 0 1 69 4 3 2 2 7 1 0 0 0 0 0 3 11 1 +291 1970 Graduation Married 72940 0 0 19-06-2013 13 182 74 298 162 149 116 1 3 3 6 1 0 0 0 0 0 0 3 11 0 +4557 1970 Graduation Together 22070 1 0 04-10-2013 11 10 7 19 8 2 21 2 2 2 2 6 0 0 0 0 0 0 3 11 0 +2379 1953 Graduation Single 69267 0 0 22-09-2012 31 778 44 499 95 73 146 2 3 4 5 7 0 0 0 0 0 0 3 11 1 +5726 1983 Master Single 31788 1 0 20-03-2014 15 16 7 23 0 8 6 3 3 0 4 5 0 0 0 0 0 1 3 11 0 +3066 1975 PhD Together 61905 0 1 04-02-2014 2 167 0 43 6 2 13 2 4 2 4 5 0 0 0 0 0 0 3 11 0 +6336 1960 Graduation Married 29315 1 1 06-04-2014 55 13 2 14 8 7 4 4 2 0 4 6 0 0 0 0 0 0 3 11 0 +10967 1963 Graduation Divorced 33378 1 1 06-02-2013 38 33 6 40 3 7 10 3 2 0 4 7 0 0 0 0 0 0 3 11 0 +2304 1963 PhD Together 66313 0 1 16-09-2013 86 625 7 99 10 22 7 2 6 3 12 4 0 0 0 0 0 0 3 11 0 +3445 1956 Graduation Single 60714 0 0 17-01-2013 56 216 162 224 101 92 162 2 7 4 10 5 0 0 0 0 0 0 3 11 1 +7828 1981 Master Together 77882 0 0 30-04-2014 29 68 129 396 188 22 15 1 3 3 5 1 0 0 0 0 0 0 3 11 0 +3762 1986 PhD Single 69867 0 0 02-04-2013 30 196 0 512 33 130 54 1 3 5 8 1 0 0 0 1 0 0 3 11 1 +4391 1968 Master Divorced 63841 0 1 21-04-2013 64 635 15 100 20 7 131 1 9 3 9 6 0 0 0 0 0 0 3 11 0 +4669 1981 Basic Married 24480 1 0 11-02-2013 46 4 19 9 28 25 17 3 3 0 4 7 0 0 0 0 0 0 3 11 0 +10144 1976 Graduation Together 51369 0 1 25-10-2012 84 297 7 79 0 11 182 2 8 2 4 8 0 0 0 0 0 0 3 11 0 +8652 1946 Graduation Together 37760 0 0 31-08-2012 20 84 5 38 150 12 28 2 4 1 6 7 0 0 0 0 0 0 3 11 0 +1672 1974 PhD Together 65640 0 1 01-03-2014 74 204 7 149 20 15 66 1 5 1 8 2 0 0 0 0 0 0 3 11 0 +8962 1975 Master Married 44319 1 1 17-04-2014 18 26 0 8 0 0 3 2 2 0 3 5 0 0 0 0 0 0 3 11 0 +9974 1974 Graduation Married 30631 1 0 12-07-2013 75 15 6 20 4 5 20 1 3 1 2 7 0 0 0 0 0 0 3 11 0 +10983 1952 Graduation Together 75278 0 0 29-01-2013 17 304 98 230 150 74 74 1 6 3 13 3 0 0 0 0 0 0 3 11 0 +8148 1956 Master Together 50898 1 1 08-01-2013 88 285 28 242 55 114 135 13 6 2 12 5 0 0 0 0 0 0 3 11 0 +10102 1966 Graduation Widow 79946 0 0 12-05-2014 19 395 183 565 166 141 28 1 5 11 5 3 0 0 0 0 0 0 3 11 0 +4697 1949 Master Divorced 35416 0 0 13-06-2013 62 248 3 81 4 3 51 3 7 1 5 8 0 0 0 0 0 0 3 11 0 +9262 1984 2n Cycle Together 32414 0 0 04-07-2013 11 20 6 5 0 9 12 1 1 0 3 7 1 0 0 0 0 0 3 11 0 +7254 1969 Graduation Together 38361 1 0 27-12-2013 74 39 0 56 20 8 14 3 3 1 3 7 0 0 0 0 0 0 3 11 0 +4543 1980 Graduation Married 82497 0 0 31-10-2012 32 777 129 573 216 21 203 1 2 7 9 4 0 0 1 0 0 0 3 11 0 +4927 1971 Graduation Together 16626 2 0 15-01-2014 76 8 3 22 21 1 13 3 3 0 3 9 0 0 0 0 0 0 3 11 0 +10451 1965 Graduation Together 29672 1 1 12-03-2013 6 9 1 3 0 4 8 1 0 0 3 6 0 0 0 0 0 0 3 11 0 +2926 1952 Master Together 55951 0 1 23-08-2012 62 1241 0 80 0 13 40 3 3 6 11 8 0 1 0 0 1 0 3 11 0 +2874 1988 2n Cycle Divorced 35388 1 0 07-03-2013 20 6 4 7 4 3 8 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +9738 1986 Master Together 42386 1 0 13-01-2013 43 65 4 16 0 4 11 1 3 0 3 8 0 0 0 0 0 0 3 11 0 +7119 1982 Graduation Single 68627 0 0 12-01-2013 45 395 15 263 60 54 38 1 2 3 6 1 0 0 0 0 0 0 3 11 0 +3924 1965 PhD Divorced 57912 0 1 17-03-2014 34 801 0 80 0 0 35 5 8 3 12 5 0 1 0 0 0 0 3 11 0 +5827 1958 Graduation Divorced 35246 1 1 16-04-2014 53 36 0 12 2 2 10 4 3 1 3 5 0 0 0 0 0 0 3 11 0 +5596 1956 2n Cycle Together 58821 0 1 12-10-2013 44 513 14 154 19 0 28 1 9 2 9 6 0 0 0 0 0 0 3 11 0 +10812 1978 PhD Married 46377 1 0 01-03-2014 89 37 0 46 4 3 0 1 2 1 3 4 0 0 0 0 0 0 3 11 0 +1717 1988 Graduation Single 39747 1 0 13-04-2014 43 80 15 93 20 13 52 3 5 1 4 8 0 0 0 0 0 0 3 11 0 +9491 1984 Graduation Together 23976 1 0 27-12-2013 68 14 1 21 2 3 25 3 3 1 3 7 0 0 0 0 0 0 3 11 0 +9274 1961 Master Married 80950 0 0 28-03-2013 44 525 147 112 219 147 63 1 6 7 9 2 0 0 0 1 0 0 3 11 0 +6609 1966 Graduation Widow 27038 0 0 18-09-2012 64 1 26 25 17 23 15 1 3 0 3 9 0 0 0 0 0 0 3 11 1 +6963 1947 Graduation Single 77457 0 0 05-03-2014 85 675 11 400 15 45 11 1 2 5 10 1 0 0 1 0 0 0 3 11 0 +4440 1964 Master Married 64100 0 1 10-09-2013 93 509 0 27 0 0 10 1 8 3 6 7 0 1 0 0 0 0 3 11 0 +1379 1992 Master Together 42670 0 0 27-04-2013 12 154 2 46 20 4 15 1 4 2 4 4 0 0 0 0 0 0 3 11 0 +10032 1976 Graduation Divorced 12571 1 0 18-01-2014 86 3 5 14 2 12 17 4 3 1 3 6 0 0 0 0 0 0 3 11 0 +2826 1967 Graduation Married 22574 2 1 28-10-2013 28 25 0 8 2 0 2 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +2437 1989 Graduation Married 0 0 03-06-2013 69 861 138 461 60 30 61 1 6 5 12 3 0 1 0 1 0 0 3 11 0 +6320 1976 Master Single 70893 0 0 06-02-2013 42 768 44 561 77 44 14 1 6 6 10 3 0 0 0 0 0 0 3 11 0 +3050 1966 Graduation Married 54198 1 1 17-12-2013 13 185 0 28 3 2 17 6 3 1 6 4 0 0 0 0 0 0 3 11 0 +231 1956 Master Together 28839 1 1 11-03-2014 86 24 0 7 0 0 1 2 2 0 3 5 0 0 0 0 0 0 3 11 0 +2392 1972 Graduation Married 40321 1 1 29-07-2013 59 44 4 21 6 0 27 2 3 0 3 7 0 0 0 0 0 0 3 11 0 +9478 1985 Graduation Single 66503 1 0 14-08-2012 30 91 64 128 65 3 50 2 4 3 6 3 0 0 0 0 0 0 3 11 0 +113 1951 Graduation Married 30833 1 1 16-07-2013 33 11 0 7 3 1 6 2 1 0 3 5 0 0 0 0 0 0 3 11 0 +2863 1970 Graduation Single 1 2 23-08-2013 67 738 20 172 52 50 20 6 2 3 10 7 0 1 0 1 0 0 3 11 0 +1802 1971 Graduation Married 64795 0 1 17-01-2013 23 412 5 119 38 29 77 3 3 3 12 2 0 0 0 0 0 0 3 11 0 +520 1974 Graduation Married 34421 1 0 01-07-2013 81 3 3 7 6 2 9 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +8275 1965 PhD Divorced 47025 1 1 09-02-2014 6 16 0 3 0 0 1 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +9750 1961 PhD Divorced 64325 0 1 07-02-2013 41 731 60 353 78 12 73 5 10 3 5 7 0 0 0 0 0 0 3 11 0 +2607 1953 Graduation Single 40464 0 1 11-01-2013 78 424 17 118 7 23 41 6 8 2 8 8 0 0 0 0 0 0 3 11 0 +7214 1957 Graduation Married 62187 0 0 05-07-2013 49 792 0 275 45 45 126 1 4 8 5 3 0 0 0 0 0 0 3 11 0 +5835 1976 PhD Divorced 14849 1 0 02-07-2013 39 21 2 28 3 2 9 3 2 0 4 8 0 0 0 0 0 0 3 11 0 +3896 1984 Graduation Married 27255 1 0 07-11-2013 3 22 1 11 0 1 2 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +10350 1950 PhD Married 54432 2 1 09-05-2013 37 33 0 5 0 0 0 1 1 0 3 4 0 0 0 0 0 0 3 11 0 +7786 1986 PhD Single 29999 1 0 13-02-2013 22 68 7 59 10 5 11 4 3 1 4 8 0 0 0 0 0 0 3 11 0 +2861 1983 Graduation Single 24072 1 0 16-04-2013 79 9 1 6 3 0 4 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +663 1989 PhD Single 33996 0 0 11-09-2013 46 40 2 15 8 0 6 1 1 1 3 4 0 0 0 0 0 0 3 11 0 +10675 1956 PhD Married 66334 0 1 03-04-2013 82 909 11 218 0 0 23 2 9 3 5 5 0 0 0 0 0 0 3 11 1 +2521 1971 Master Married 35178 1 0 10-01-2013 10 23 1 13 2 2 18 1 1 1 2 7 1 0 0 0 0 0 3 11 1 +9592 1983 Graduation Together 22010 1 0 30-06-2013 51 11 2 9 3 0 8 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +10151 1960 Graduation Divorced 62204 0 2 12-09-2012 38 317 46 247 151 46 139 1 4 5 12 3 0 0 0 0 0 0 3 11 0 +7381 1968 Graduation Divorced 75693 0 0 06-12-2012 10 797 153 293 72 97 30 1 11 4 6 4 0 1 1 1 0 0 3 11 1 +4099 1972 Graduation Married 30675 1 0 12-11-2012 14 10 2 16 11 2 21 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +9560 1965 Graduation Together 83003 0 0 03-03-2013 18 856 61 570 40 25 122 1 7 6 8 3 0 0 1 0 0 0 3 11 1 +1150 1899 PhD Together 83532 0 0 26-09-2013 36 755 144 562 104 64 224 1 4 6 4 1 0 0 1 0 0 0 3 11 0 +10172 1988 Graduation Single 68655 0 0 10-08-2012 95 456 19 832 75 118 38 1 4 5 11 3 0 0 0 0 0 0 3 11 0 +11191 1986 Graduation Divorced 41411 0 0 07-12-2013 11 37 32 38 11 3 18 1 2 1 4 6 0 0 0 0 0 0 3 11 0 +9707 1969 PhD Married 55212 0 1 23-11-2012 65 1103 0 45 0 0 34 3 4 2 11 8 0 1 0 0 1 0 3 11 0 +6245 1950 PhD Together 59292 0 1 13-06-2013 71 378 14 68 19 14 14 2 3 5 8 3 0 0 0 0 0 0 3 11 0 +8234 1973 Basic Together 27190 1 0 15-08-2013 13 1 6 7 0 1 3 1 1 0 2 8 1 0 0 0 0 0 3 11 1 +1411 1952 Graduation Divorced 82623 0 0 10-11-2013 58 204 34 204 172 153 173 1 2 9 4 1 0 0 0 0 0 0 3 11 0 +8553 1965 Graduation Married 44300 1 1 23-06-2013 65 30 0 9 0 0 3 2 1 0 3 6 0 0 0 0 0 0 3 11 0 +1826 1970 Graduation Divorced 84835 0 0 16-06-2014 0 189 104 379 111 189 218 1 4 4 6 1 0 0 0 0 0 0 3 11 1 +8842 1971 Graduation Widow 30372 1 1 25-12-2012 33 15 0 12 7 3 7 3 2 0 3 7 0 0 0 0 0 0 3 11 0 +11030 1976 Master Married 33181 1 0 03-01-2014 90 9 0 3 0 0 4 1 1 0 2 6 1 0 0 0 0 0 3 11 0 +2579 1957 Graduation Married 71113 0 1 17-12-2013 95 495 33 255 11 33 8 4 6 7 9 4 0 0 0 0 0 0 3 11 0 +175 1986 Graduation Married 71952 1 0 10-01-2013 93 656 80 455 52 107 93 2 8 4 8 4 1 0 1 0 0 0 3 11 0 +9185 1966 PhD Single 69759 0 0 28-10-2013 38 452 20 514 13 30 0 3 4 6 5 3 0 0 0 0 0 0 3 11 1 +11056 1974 Graduation Married 72099 0 0 27-10-2012 18 546 91 410 119 0 22 1 3 4 10 1 0 0 0 0 0 0 3 11 0 +9365 1976 PhD Single 60000 0 1 22-12-2012 57 1048 0 217 0 0 12 5 11 3 5 6 0 0 0 0 0 0 3 11 0 +6201 1978 Graduation Single 38643 1 1 29-11-2013 45 22 2 14 0 1 10 2 2 0 3 7 0 0 0 0 0 1 3 11 0 +2061 1955 Graduation Married 50737 0 1 11-05-2013 61 78 0 11 0 0 10 1 2 0 4 6 0 1 0 0 0 0 3 11 0 +6184 1969 PhD Married 68462 0 0 12-12-2012 6 561 64 785 84 128 48 1 3 3 8 1 0 0 0 0 0 0 3 11 0 +6142 1943 Master Married 65073 0 0 20-08-2013 65 629 17 177 69 0 8 1 5 3 5 2 0 0 0 0 0 1 3 11 0 +4107 1948 PhD Together 46681 0 2 08-10-2013 52 269 15 69 15 19 38 2 4 6 4 5 0 0 0 0 0 0 3 11 0 +7274 1957 Graduation Married 78618 0 0 28-09-2012 87 736 163 818 212 163 61 1 4 7 10 2 0 1 0 0 0 0 3 11 0 +9336 1969 PhD Widow 62187 0 1 22-03-2014 38 512 0 83 0 0 41 3 6 2 10 4 0 0 0 0 0 0 3 11 0 +2958 1978 Graduation Married 28442 2 0 24-02-2014 53 19 3 10 11 8 6 3 2 1 4 4 0 0 0 0 0 0 3 11 0 +933 1978 PhD Married 37717 1 0 23-11-2012 31 9 0 6 4 1 5 1 1 0 2 9 0 0 0 0 0 0 3 11 0 +5837 1967 Graduation Married 51479 1 1 28-12-2012 67 247 8 160 6 8 65 7 6 3 6 7 0 0 0 0 0 0 3 11 0 +10704 1969 Graduation Single 54803 0 1 21-08-2012 65 404 0 92 28 27 142 2 6 2 9 4 0 0 0 0 0 0 3 11 0 +5125 1960 Graduation Married 79530 0 0 17-05-2013 64 333 0 815 129 42 29 1 4 10 11 2 0 0 0 0 0 0 3 11 0 +4432 1976 Graduation Divorced 31615 1 0 16-03-2013 82 2 3 20 6 11 9 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +5955 1962 Graduation Together 72025 0 0 17-11-2012 27 833 33 549 151 133 233 1 4 3 8 3 0 0 0 0 0 0 3 11 0 +2928 1975 PhD Single 52614 0 1 01-12-2012 63 789 0 142 12 9 38 2 2 4 8 8 0 0 0 0 0 0 3 11 0 +5680 1984 2n Cycle Married 35684 1 0 22-04-2014 66 10 4 7 0 6 3 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +10313 1975 Graduation Married 48178 1 1 28-10-2012 69 159 4 45 6 2 38 6 5 1 4 8 0 0 0 0 0 0 3 11 0 +2557 1970 Master Single 29548 1 0 29-08-2013 52 7 1 6 3 1 11 1 1 1 2 4 1 0 0 0 0 0 3 11 0 +1245 1966 Graduation Single 63810 0 1 11-11-2012 45 977 12 253 16 12 101 4 4 3 12 8 0 1 0 0 0 0 3 11 0 +1519 1972 PhD Single 38578 1 1 22-06-2013 2 38 4 22 3 3 3 3 3 0 3 8 0 0 0 0 0 0 3 11 1 +10703 1975 Master Single 46098 1 1 18-08-2012 86 57 0 27 0 0 36 4 3 2 2 8 0 0 0 0 0 0 3 11 0 +1726 1970 Graduation Single 22585 0 0 18-03-2013 23 3 9 15 13 2 39 1 1 1 2 9 1 0 0 0 0 0 3 11 1 +4459 1989 Graduation Single 30279 1 0 30-12-2012 13 10 4 14 4 4 1 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +1729 1961 PhD Together 66426 0 1 02-10-2013 14 1043 24 97 32 24 157 2 3 5 10 6 0 0 0 0 0 0 3 11 0 +1517 1969 Graduation Single 30822 1 0 14-06-2013 92 3 9 13 2 12 12 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +2098 1969 PhD Married 33581 2 0 08-01-2013 38 11 0 5 0 0 1 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +9543 1985 Graduation Married 19986 1 0 14-11-2013 74 3 6 5 0 2 6 1 0 0 3 7 0 0 0 0 0 0 3 11 0 +6878 1954 Graduation Widow 27421 0 0 12-12-2012 14 43 12 96 78 40 55 3 4 1 6 7 0 0 0 0 0 0 3 11 0 +3310 1973 2n Cycle Married 35688 2 1 22-08-2012 94 73 3 90 12 1 32 7 4 1 4 8 0 0 0 0 0 0 3 11 0 +2724 1981 Master Single 36143 1 0 30-03-2014 33 12 0 1 0 0 6 1 0 1 2 3 0 0 0 0 0 0 3 11 0 +948 1971 Graduation Single 10245 1 0 15-05-2013 32 4 7 7 6 4 13 3 1 2 2 5 0 0 0 0 0 0 3 11 0 +6720 1968 Master Together 43795 0 1 16-10-2013 11 314 11 53 4 3 107 3 7 3 4 7 0 1 0 0 0 0 3 11 1 +6202 1960 Graduation Together 63381 0 1 05-10-2012 78 571 50 142 33 50 159 4 4 5 13 2 0 0 0 0 0 0 3 11 0 +2066 1949 Graduation Together 38823 0 1 30-08-2012 56 70 0 11 2 8 23 1 2 1 3 6 0 0 0 0 0 0 3 11 0 +9799 1968 PhD Divorced 83664 1 1 08-05-2013 57 866 21 151 28 21 86 3 2 2 12 5 0 0 0 0 0 0 3 11 0 +8318 1979 Graduation Together 90300 0 0 03-01-2014 7 594 134 786 33 134 57 0 5 6 8 1 0 0 1 0 0 0 3 11 0 +5642 1979 Master Together 62499 1 0 09-12-2013 0 140 4 61 0 13 4 2 3 1 6 4 0 0 0 0 0 0 3 11 0 +2669 1993 Graduation Single 74293 0 0 04-05-2014 66 375 152 335 93 91 81 1 5 4 6 2 0 0 0 0 0 0 3 11 0 +455 1946 PhD Married 51012 0 0 18-04-2013 86 102 9 63 2 9 24 1 4 1 4 6 0 0 0 0 0 0 3 11 0 +7683 1968 Master Married 70777 0 1 25-02-2014 80 554 35 113 0 7 78 3 5 3 12 3 0 0 0 0 0 0 3 11 0 +3428 1991 PhD Together 68682 0 0 06-10-2013 56 919 0 505 99 30 45 1 4 9 10 2 0 0 0 0 0 0 3 11 0 +7414 1971 Graduation Married 43824 1 1 15-09-2012 18 96 1 42 12 3 32 4 3 1 4 8 0 0 0 0 0 0 3 11 0 +6354 1984 Graduation Together 15345 1 0 31-08-2012 51 5 2 16 3 2 19 2 1 1 2 8 0 0 0 0 0 0 3 11 1 +798 1987 Graduation Single 23442 1 0 24-12-2012 71 2 0 6 8 6 5 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +8213 1980 2n Cycle Together 14515 1 0 09-11-2012 71 6 4 9 6 36 35 4 2 2 3 7 0 0 0 0 0 0 3 11 1 +2488 1956 2n Cycle Divorced 31395 1 1 23-03-2013 80 23 1 25 0 8 7 4 2 1 3 6 0 0 0 0 0 0 3 11 0 +9999 1965 Graduation Together 75276 0 0 27-09-2012 2 610 105 125 137 42 21 1 9 4 9 5 0 0 0 0 0 0 3 11 0 +7617 1974 Graduation Single 42373 1 1 15-08-2013 83 67 5 61 3 8 19 5 2 1 5 5 0 0 0 0 0 0 3 11 0 +615 1960 Graduation Together 30507 0 0 11-03-2013 29 65 36 74 38 20 110 1 5 1 4 7 0 0 0 0 0 0 3 11 0 +2552 1955 PhD Single 55521 1 2 22-10-2013 11 416 0 26 0 0 4 9 6 3 6 7 0 1 0 0 0 0 3 11 1 +194 1965 Graduation Married 48006 1 1 09-06-2014 55 23 0 11 3 2 2 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +3645 1972 PhD Single 27213 1 0 30-08-2012 19 19 3 26 10 9 3 3 2 0 4 8 0 0 0 0 0 0 3 11 1 +8890 1971 PhD Divorced 65808 1 1 30-05-2014 1 155 7 80 13 7 10 3 5 1 5 6 0 0 0 0 0 0 3 11 0 +5049 1974 PhD Together 30351 1 0 06-06-2013 19 14 0 24 3 3 2 1 3 0 2 9 0 0 0 0 0 0 3 11 0 +9973 1963 Graduation Married 50437 0 2 17-10-2012 28 370 9 92 6 9 4 3 7 1 8 7 0 0 0 0 0 0 3 11 0 +7301 1982 2n Cycle Single 23616 1 0 17-11-2012 76 4 22 11 3 7 32 2 3 0 3 8 0 0 0 0 0 0 3 11 1 +10882 1976 Graduation Married 53858 0 1 09-11-2012 50 407 53 221 58 150 26 4 4 3 6 4 0 0 0 0 0 0 3 11 0 +7030 1955 PhD Married 66465 0 1 30-03-2013 1 1200 0 204 38 29 14 3 11 9 12 6 0 0 0 1 0 0 3 11 0 +7422 1987 Graduation Single 46923 1 0 22-08-2012 90 85 44 54 102 78 6 3 5 1 7 7 0 0 0 0 0 0 3 11 0 +3523 1962 Graduation Together 75072 0 1 23-01-2013 83 583 34 309 0 22 125 2 5 4 8 3 0 0 0 0 0 0 3 11 0 +7106 1943 PhD Married 75865 0 0 31-03-2014 73 483 0 591 156 0 12 1 3 5 10 1 0 0 0 0 0 0 3 11 0 +6504 1975 2n Cycle Together 19789 1 0 20-11-2013 24 2 5 9 28 6 28 3 2 1 3 5 1 0 0 0 0 0 3 11 0 +5067 1994 Graduation Together 80134 0 0 14-02-2014 11 966 26 282 52 26 26 1 2 7 11 5 0 1 1 1 1 0 3 11 0 +4216 1981 Graduation Single 91065 0 0 22-02-2013 33 822 114 108 179 137 114 1 7 9 9 3 0 0 1 1 0 0 3 11 1 +8581 1971 Master Married 49505 1 1 05-03-2013 4 604 0 100 19 0 28 9 10 2 8 8 0 0 0 0 0 0 3 11 0 +5929 1973 PhD Married 37401 1 0 06-05-2014 14 19 3 19 3 1 3 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +3129 1983 Graduation Married 30096 1 0 22-05-2014 30 5 3 11 12 5 9 1 2 0 3 6 0 0 0 0 0 0 3 11 0 +6528 1982 Master Together 18492 1 0 05-06-2014 75 2 2 2 2 1 1 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +1361 1974 Master Married 82584 0 0 04-06-2013 26 1076 68 103 29 91 68 1 3 4 8 1 0 1 1 0 0 0 3 11 1 +6932 1941 PhD Married 93027 0 0 13-04-2013 77 1285 42 716 55 0 21 0 7 10 5 2 0 0 1 0 0 0 3 11 0 +7284 1953 Graduation Married 48686 1 2 04-12-2013 8 10 0 7 2 0 1 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +1340 1986 Graduation Married 92910 0 0 24-04-2014 42 551 137 792 179 103 33 1 6 7 13 1 0 1 1 1 0 0 3 11 0 +8746 1989 Graduation Married 75433 1 0 05-04-2014 28 800 0 297 0 34 57 2 2 5 10 6 0 1 0 1 0 0 3 11 0 +5987 1989 2n Cycle Together 10404 1 0 04-05-2014 52 2 2 11 10 6 12 2 1 0 4 5 0 0 0 0 0 0 3 11 0 +3767 1968 Graduation Married 61314 0 1 25-04-2013 1 378 0 189 97 172 172 2 5 5 12 3 0 0 0 0 0 0 3 11 0 +3725 1961 PhD Single 84865 0 0 09-05-2013 1 1248 16 349 43 16 16 1 2 4 9 4 0 1 1 1 1 0 3 11 1 +4324 1989 Graduation Married 42387 1 0 29-10-2012 42 235 0 235 19 4 191 5 8 1 7 8 0 0 0 0 0 0 3 11 0 +238 1967 2n Cycle Together 67309 1 1 23-01-2013 76 515 47 181 149 95 95 15 9 6 9 7 0 0 0 0 0 0 3 11 0 +6694 1964 Graduation Married 75236 0 1 25-11-2013 27 438 66 400 12 38 114 1 8 3 13 4 0 0 0 0 0 0 3 11 0 +498 1970 Graduation Single 30015 1 0 02-02-2014 28 25 0 22 2 3 5 2 1 0 4 5 0 0 0 0 0 0 3 11 0 +9347 1956 Master Together 50943 0 1 21-06-2013 49 31 0 7 2 0 6 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +9699 1966 Graduation Divorced 67272 0 1 21-12-2013 12 357 35 271 28 28 14 3 6 2 12 5 0 0 0 0 0 0 3 11 0 +10664 1949 Master Widow 51529 0 1 07-09-2013 14 400 4 35 6 0 22 2 9 1 5 8 0 0 0 0 0 0 3 11 0 +5455 1971 PhD Married 32011 1 0 22-08-2013 89 99 0 15 2 1 5 3 2 1 4 7 0 0 0 0 0 0 3 11 0 +456 1986 2n Cycle Married 7500 1 0 07-02-2013 96 1 11 5 4 6 9 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +5012 1989 Graduation Married 28691 1 0 04-07-2013 56 5 4 13 8 0 4 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +7495 1948 PhD Married 56223 0 1 20-12-2013 72 77 28 31 16 0 4 2 2 1 5 4 0 0 0 0 0 0 3 11 0 +5029 1946 Graduation Married 18100 0 0 06-08-2013 14 3 1 2 4 3 1 1 0 0 3 5 0 0 0 0 0 0 3 11 0 +10642 1989 Graduation Single 30279 1 0 30-12-2012 13 10 4 14 4 4 1 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +2106 1974 2n Cycle Married 20130 0 0 17-03-2014 99 0 6 3 7 6 12 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +10364 1959 Graduation Divorced 23295 0 0 13-07-2013 72 0 0 1 2 12 5 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +5954 1972 Master Divorced 42618 1 0 09-10-2013 92 76 14 74 13 5 10 2 5 0 4 8 0 0 0 0 0 0 3 11 0 +1137 1964 Graduation Single 81246 0 0 29-12-2013 87 398 190 537 61 156 37 1 4 5 7 1 1 0 0 1 0 0 3 11 0 +2541 1976 Graduation Married 24027 1 0 09-06-2013 7 14 7 11 11 0 5 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +1142 1953 PhD Married 55707 0 1 22-12-2013 91 208 7 82 30 66 35 2 3 2 9 3 0 0 0 0 0 0 3 11 0 +2276 1955 Graduation Single 57959 0 1 02-05-2013 71 430 16 322 43 24 33 5 4 7 11 3 0 0 0 0 0 0 3 11 0 +2807 1969 Graduation Married 56796 0 1 16-02-2013 24 656 38 161 62 47 37 3 8 9 7 7 0 0 0 0 0 0 3 11 0 +6471 1971 Master Single 36230 1 0 17-10-2013 17 14 2 30 8 2 3 1 2 0 4 5 0 0 0 0 0 0 3 11 0 +6131 1980 2n Cycle Married 70829 1 1 01-12-2013 87 141 70 106 72 19 23 2 4 2 8 3 0 0 0 0 0 0 3 11 0 +6233 1976 Graduation Married 65991 0 1 07-09-2012 21 507 19 364 25 47 9 3 9 5 10 7 0 0 0 0 0 0 3 11 0 +4148 1972 Graduation Married 38988 1 2 20-08-2012 90 164 24 103 12 3 42 7 5 1 6 8 0 0 0 0 0 0 3 11 0 +4947 1966 2n Cycle Single 89572 0 0 15-09-2012 44 606 24 974 197 194 64 1 7 7 9 4 0 1 0 1 0 0 3 11 1 +3225 1984 Master Married 42207 1 0 01-04-2013 71 116 11 72 3 17 46 4 4 1 5 6 1 0 0 0 0 0 3 11 1 +7540 1952 Graduation Married 50300 0 1 25-05-2014 52 143 15 60 24 23 5 2 2 1 8 2 0 0 0 0 0 0 3 11 0 +10648 1982 2n Cycle Together 66664 0 0 25-09-2012 78 398 96 447 220 96 32 1 5 7 6 3 0 0 0 0 0 0 3 11 0 +1992 1964 Graduation Married 60597 0 1 01-01-2014 2 522 0 257 32 16 66 4 2 2 8 7 0 0 0 1 0 0 3 11 1 +7851 1949 Graduation Widow 70165 0 0 22-09-2013 60 161 0 253 199 191 122 1 3 7 11 1 0 0 0 0 0 0 3 11 0 +8594 1958 PhD Widow 50520 0 1 28-01-2014 25 112 0 6 2 1 14 2 3 1 3 6 0 0 0 0 0 0 3 11 0 +7059 1963 Graduation Married 80124 0 0 26-06-2014 47 483 84 398 205 84 241 1 3 7 8 1 1 0 0 0 0 0 3 11 0 +2815 1975 Graduation Married 33183 1 0 24-02-2014 46 7 5 39 17 15 37 2 4 0 3 7 0 0 0 0 0 0 3 11 0 +2416 1969 PhD Single 66582 0 0 03-03-2014 83 789 25 420 16 38 0 1 2 8 9 1 0 0 0 0 0 0 3 11 0 +7999 1955 PhD Together 75261 0 0 23-04-2013 17 1239 17 413 23 34 17 1 5 6 5 2 0 1 1 0 0 0 3 11 1 +9213 1970 Graduation Widow 31880 1 0 31-10-2012 13 4 1 5 2 0 3 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +9697 1951 Graduation Married 53790 0 2 06-03-2014 86 335 42 127 28 5 5 3 7 2 8 6 0 0 0 0 0 0 3 11 0 +3916 1971 PhD Together 49269 1 0 15-08-2012 92 639 8 166 11 8 58 3 7 3 12 7 0 0 0 0 0 0 3 11 0 +2021 1975 Graduation Married 61456 0 1 27-03-2013 47 563 76 384 84 192 89 4 6 10 13 4 0 0 0 0 0 0 3 11 0 +1581 1980 Graduation Married 37406 1 0 10-10-2013 18 2 0 8 2 2 3 1 1 0 2 8 0 0 0 0 0 0 3 11 1 +564 1981 PhD Together 56937 1 0 04-08-2012 81 746 8 125 11 8 8 7 8 6 9 6 0 1 0 0 0 0 3 11 1 +6619 1978 Graduation Married 38415 1 1 02-01-2013 91 22 1 13 4 0 4 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +9081 1988 Graduation Single 20518 1 0 18-05-2014 58 4 1 6 4 1 9 1 1 1 2 5 0 0 0 0 0 0 3 11 0 +178 1956 Graduation Married 62503 0 1 18-02-2013 40 478 0 193 110 75 117 4 8 3 11 5 0 0 0 0 0 0 3 11 0 +916 1972 PhD Single 41644 1 1 09-05-2014 67 20 3 4 2 0 2 2 1 0 3 3 0 0 0 0 0 0 3 11 0 +5512 1977 Master Married 55842 0 1 23-05-2014 19 451 0 39 0 4 24 1 7 1 8 5 0 0 0 0 0 0 3 11 0 +8970 1972 PhD Married 62010 0 1 23-10-2012 93 371 22 39 6 0 92 4 6 2 7 5 0 0 0 0 0 0 3 11 0 +10581 1977 Graduation Married 41124 1 0 31-10-2012 41 281 7 84 15 0 119 7 7 3 4 8 0 0 0 0 0 0 3 11 0 +5300 1973 Master Married 38961 1 0 30-12-2013 60 19 7 19 0 1 24 1 2 1 2 7 0 0 0 0 0 0 3 11 0 +5154 1972 Master Divorced 37760 1 0 11-08-2013 54 26 3 13 2 10 0 1 2 0 3 6 0 0 0 0 0 0 3 11 0 +8346 1974 Graduation Single 32233 1 0 19-08-2012 26 138 15 35 25 11 72 2 6 2 2 9 1 0 0 0 0 0 3 11 1 +1676 1975 Graduation Married 43057 0 1 30-10-2013 30 213 2 44 0 2 5 4 4 2 5 5 0 0 0 0 0 0 3 11 0 +9286 1960 Master Together 83151 0 0 10-10-2012 93 407 28 100 120 74 18 1 5 9 4 3 0 0 0 0 0 0 3 11 0 +2426 1964 PhD Divorced 78825 0 0 14-09-2012 35 483 74 114 169 37 18 1 5 10 13 3 0 0 0 0 0 0 3 11 1 +5172 1976 Master Together 65104 0 1 14-11-2013 4 738 0 232 13 20 50 2 3 5 7 7 0 0 0 0 0 0 3 11 0 +5562 1974 Graduation Married 60093 0 1 26-06-2013 92 502 12 109 16 6 90 2 7 2 10 6 0 0 0 0 0 0 3 11 0 +3436 1969 Graduation Married 14045 1 0 26-01-2014 24 11 0 5 2 1 1 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +3921 1952 2n Cycle Widow 28457 0 0 28-10-2012 96 24 1 108 29 29 14 1 4 1 4 8 0 0 0 0 0 0 3 11 0 +3403 1958 PhD Together 78952 0 1 24-09-2012 11 1170 19 594 99 76 134 2 2 5 12 6 0 0 0 0 0 0 3 11 0 +22 1976 Graduation Divorced 46310 1 0 03-12-2012 99 185 2 88 15 5 14 2 6 1 5 8 0 0 0 0 0 0 3 11 0 +10965 1955 Graduation Together 76005 0 0 22-02-2013 72 983 20 389 240 50 40 1 3 5 13 6 0 0 0 1 0 0 3 11 0 +9426 1964 Master Single 58308 0 1 12-01-2013 77 691 0 69 10 0 130 4 2 6 3 8 0 0 0 0 0 0 3 11 0 +6605 1944 PhD Divorced 55614 0 0 27-11-2013 85 504 13 131 8 0 26 1 9 4 6 7 0 1 0 0 0 0 3 11 0 +3136 1962 Master Divorced 59432 0 1 13-04-2013 88 317 25 265 25 19 12 3 5 3 11 5 0 0 0 0 0 0 3 11 0 +8737 1978 Graduation Divorced 55563 0 1 05-04-2014 22 29 1 9 2 0 2 1 2 0 3 3 0 0 0 0 0 0 3 11 0 +11088 1971 PhD Together 78642 0 1 21-04-2013 83 1396 0 322 46 35 17 1 4 9 4 6 0 0 0 0 0 0 3 11 0 +716 1949 PhD Together 67911 0 1 22-05-2014 63 529 0 356 63 28 0 3 6 7 11 3 0 0 0 0 0 0 3 11 0 +466 1944 Graduation Married 65275 0 0 03-04-2013 9 388 14 218 91 14 21 1 4 3 13 2 0 0 0 0 0 0 3 11 0 +9135 1950 Graduation Together 27203 1 1 06-08-2012 92 13 2 21 4 0 24 2 1 1 2 8 0 0 0 0 0 0 3 11 0 +10623 1961 Master Together 48330 0 1 15-11-2013 2 28 0 4 0 0 0 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +8151 1990 Basic Married 24279 0 0 29-12-2012 6 16 36 21 20 62 108 1 4 1 3 8 0 0 0 0 0 0 3 11 0 +5140 1985 PhD Married 64355 1 0 24-08-2012 66 1047 0 140 67 38 153 2 4 3 12 8 0 0 0 0 0 0 3 11 0 +10160 1956 Master Together 50943 0 1 21-06-2013 49 31 0 7 2 0 6 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +4945 1953 Graduation Widow 53653 0 0 07-11-2012 29 815 10 239 28 10 108 2 10 4 12 6 0 0 0 0 0 0 3 11 0 +10584 1976 Graduation Married 65665 0 1 02-12-2013 77 225 162 387 106 36 29 1 5 10 8 3 0 0 0 0 0 0 3 11 0 +6071 1989 Graduation Single 81217 0 0 19-07-2013 77 493 70 324 146 40 84 1 3 7 11 1 0 0 0 0 0 0 3 11 0 +3386 1992 Graduation Married 34935 0 0 21-06-2013 71 34 4 66 3 10 20 1 2 1 4 7 0 0 0 0 0 0 3 11 0 +8939 1959 Graduation Divorced 61250 0 1 16-12-2012 49 382 138 65 60 26 59 6 5 2 12 5 0 0 0 0 0 0 3 11 0 +9925 1981 PhD Together 39665 1 0 25-05-2013 97 127 1 56 0 1 31 3 4 2 3 7 1 0 0 0 0 0 3 11 0 +4320 1979 Graduation Single 60152 0 1 28-03-2013 6 325 83 300 86 58 91 1 6 4 12 3 0 0 0 0 0 0 3 11 0 +5389 1964 Graduation Married 48920 0 2 20-10-2013 93 238 17 68 8 10 6 3 6 2 5 7 0 1 0 0 0 0 3 11 0 +6036 1959 Master Together 89120 0 0 17-03-2014 78 1168 92 408 72 129 55 1 5 6 7 1 0 0 1 0 0 0 3 11 0 +182 1946 PhD Together 44124 0 1 11-05-2013 62 284 0 55 0 6 52 4 6 2 5 8 0 0 0 0 0 0 3 11 0 +203 1975 Master Single 81169 0 0 14-04-2013 47 1288 20 613 80 61 27 1 5 7 9 2 0 0 0 0 0 0 3 11 0 +11025 1961 Graduation Married 36443 1 1 03-02-2013 9 65 0 46 4 3 20 4 3 1 3 8 0 0 0 0 0 0 3 11 0 +10203 1990 Graduation Single 26095 1 0 30-06-2013 77 11 7 9 3 1 11 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +4607 1959 Graduation Together 71367 0 0 23-08-2013 24 227 23 389 42 21 75 1 4 5 7 2 0 0 0 0 0 0 3 11 0 +3711 1944 Master Married 80184 0 0 01-03-2014 19 1035 134 670 25 38 0 1 6 3 10 3 0 0 1 1 0 0 3 11 0 +3696 1965 Graduation Divorced 30630 1 1 27-01-2014 67 27 1 12 2 0 10 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +2532 1987 Master Single 73454 0 0 01-03-2014 95 982 73 351 56 14 175 1 2 4 6 5 1 0 0 0 0 0 3 11 0 +9214 1991 Graduation Married 42691 0 0 16-08-2013 48 179 2 64 38 17 58 1 5 1 6 5 0 0 0 0 0 0 3 11 0 +4943 1953 Graduation Married 70503 0 0 30-09-2012 73 1379 33 216 0 33 66 1 2 4 9 6 0 1 1 0 0 0 3 11 0 +35 1987 Graduation Married 25545 1 0 08-09-2012 35 32 1 64 16 12 85 3 2 2 3 6 0 0 0 0 0 0 3 11 1 +2258 1986 Graduation Married 32880 1 0 04-12-2012 76 8 4 15 7 6 2 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +4322 1958 PhD Together 77863 0 0 27-11-2013 20 881 38 319 16 25 12 1 4 5 10 2 0 0 0 0 0 0 3 11 0 +713 1977 Master Married 50353 0 0 08-06-2014 72 141 15 153 67 31 35 1 4 4 6 3 0 0 0 0 0 0 3 11 0 +4702 1964 Graduation Single 61839 0 0 12-08-2012 20 1000 155 379 224 17 120 1 4 8 4 8 0 0 0 0 0 0 3 11 0 +3281 1960 PhD Married 49154 1 1 03-11-2013 69 206 10 67 30 27 71 6 4 1 8 6 0 0 0 0 0 0 3 11 0 +702 1975 2n Cycle Widow 47682 0 1 15-02-2013 80 162 61 83 97 57 61 4 4 3 8 5 0 0 0 0 0 0 3 11 0 +2004 1969 Graduation Single 72679 0 1 18-09-2013 65 619 54 260 127 54 54 1 4 7 5 1 0 0 0 0 0 0 3 11 0 +4769 1977 Master Together 57954 1 1 18-06-2014 52 456 4 24 0 0 9 7 8 2 6 7 0 1 0 0 0 0 3 11 0 +4437 1962 Graduation Married 65316 1 1 24-04-2013 65 112 6 92 3 9 38 2 3 2 5 4 0 0 0 0 0 0 3 11 0 +8724 1982 Graduation Single 28567 1 0 17-06-2013 57 11 3 22 2 2 6 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +10741 1951 Master Together 47352 0 1 11-04-2013 70 172 12 112 8 0 15 4 6 1 5 7 0 0 0 0 0 0 3 11 0 +1991 1967 Graduation Together 44931 0 1 18-01-2014 0 78 0 11 0 0 7 1 2 1 3 5 0 0 0 0 0 0 3 11 0 +6931 1967 Graduation Divorced 76982 0 0 15-02-2014 19 464 151 292 65 60 30 1 8 3 4 4 0 0 1 0 0 0 3 11 1 +11096 1952 2n Cycle Together 57247 0 1 08-08-2013 50 99 4 32 37 54 6 2 2 1 7 2 0 0 0 0 0 0 3 11 0 +304 1981 Master Single 22944 1 0 23-12-2013 67 19 3 19 4 5 26 3 3 0 3 7 0 0 0 0 0 0 3 11 0 +3665 1977 2n Cycle Together 25315 1 0 07-11-2013 46 1 9 8 11 3 22 3 3 0 3 8 0 0 0 0 0 0 3 11 0 +10591 1969 Graduation Widow 43638 0 1 06-08-2012 37 63 10 83 7 19 19 2 4 1 4 7 0 0 0 0 0 0 3 11 0 +5036 1984 PhD Single 42710 1 0 28-11-2012 38 252 3 42 4 3 102 2 4 5 3 6 0 0 0 0 0 0 3 11 0 +5547 1982 PhD Married 84169 0 0 07-08-2013 9 1478 19 403 0 19 0 1 7 6 6 3 0 1 1 0 0 0 3 11 1 +7822 1976 Graduation Together 54058 0 1 04-06-2013 56 198 18 252 32 108 54 2 4 6 8 3 0 0 0 0 0 0 3 11 0 +8541 1990 2n Cycle Married 24683 1 0 08-03-2014 98 8 4 10 6 7 6 2 2 0 4 5 0 0 0 0 0 0 3 11 0 +10955 1964 Graduation Widow 85620 0 0 07-01-2014 68 416 46 925 60 107 46 1 3 6 4 1 0 0 0 0 0 0 3 11 1 +4368 1980 Graduation Married 47850 1 0 03-12-2013 72 42 7 43 20 12 10 1 3 0 4 6 0 0 0 0 0 0 3 11 0 +9671 1968 Graduation Married 19514 1 1 26-01-2014 47 14 3 21 2 1 28 4 3 1 2 8 1 0 0 0 0 0 3 11 1 +2256 1973 Master Married 27159 1 1 29-03-2014 33 17 0 3 0 0 1 2 1 0 3 6 0 0 0 0 0 0 3 11 0 +4279 1963 2n Cycle Single 39548 1 1 31-03-2014 87 15 4 10 3 4 18 2 1 1 3 3 0 0 0 0 0 0 3 11 0 +5371 1989 Graduation Single 21474 1 0 08-04-2014 0 6 16 24 11 0 34 2 3 1 2 7 1 0 0 0 0 0 3 11 1 +9240 1971 PhD Single 60504 0 1 07-02-2014 73 458 0 24 6 4 34 2 6 2 8 6 0 0 0 0 0 0 3 11 0 +9460 1963 Graduation Married 22419 0 0 18-04-2013 74 30 3 47 19 21 42 1 3 2 2 8 0 0 0 0 0 0 3 11 0 +9504 1949 Master Married 81698 0 0 06-11-2013 4 179 28 520 111 123 47 1 3 8 13 1 0 0 0 0 0 0 3 11 1 +8692 1952 Graduation Together 43462 1 1 12-09-2012 50 90 17 97 15 6 15 6 4 1 5 8 0 0 0 0 0 0 3 11 0 +448 1978 PhD Single 54880 1 0 01-03-2013 57 308 85 137 102 45 118 2 6 2 11 5 0 0 0 0 0 0 3 11 0 +8314 1982 Graduation Married 79908 0 0 05-04-2013 30 557 129 761 29 185 111 1 5 6 7 2 0 0 1 0 0 0 3 11 0 +8420 1970 2n Cycle Married 15315 0 0 03-08-2013 27 7 4 13 15 8 17 2 2 0 4 5 0 0 0 0 0 0 3 11 0 +3174 1959 Graduation Together 87771 0 1 22-05-2013 61 1492 38 287 50 57 33 1 5 10 4 6 0 1 1 1 1 0 3 11 1 +7685 1978 Graduation Married 33039 1 0 09-09-2013 4 30 8 12 8 8 12 1 2 0 4 5 0 0 0 0 0 0 3 11 0 +3179 1980 Graduation Single 81741 0 0 16-06-2013 75 249 153 940 58 134 38 0 6 6 7 2 0 0 0 0 0 0 3 11 0 +9780 1971 Master Together 71499 0 1 25-06-2013 12 465 25 132 136 0 37 2 8 3 13 4 0 0 0 0 0 0 3 11 0 +10681 1970 2n Cycle Married 62466 0 1 15-01-2014 13 129 129 259 168 121 83 5 6 3 12 4 0 0 0 0 0 0 3 11 0 +10232 1963 PhD Divorced 48799 0 1 05-11-2013 9 174 18 81 28 6 24 3 3 2 7 3 0 0 0 0 0 0 3 11 0 +4184 1950 PhD Together 52157 0 1 07-06-2014 48 189 2 29 3 2 40 2 3 2 5 4 0 0 0 0 0 0 3 11 0 +9120 1962 Graduation Single 66565 0 1 05-12-2012 80 747 10 161 65 40 42 4 4 2 9 8 0 0 0 0 0 0 3 11 0 +891 1951 Master Together 29298 1 1 07-09-2013 60 6 0 2 2 0 1 1 1 0 2 5 0 0 0 0 0 0 3 11 0 +10381 1979 Graduation Single 47691 0 1 05-07-2013 43 14 0 3 0 0 4 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +3525 1970 Graduation Together 38200 1 1 07-12-2012 19 12 0 4 0 0 1 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +6818 1974 Graduation Married 44989 0 1 12-09-2012 26 98 0 106 49 10 106 5 5 1 5 6 0 0 0 0 0 0 3 11 0 +3526 1968 PhD Married 38443 1 1 27-01-2014 58 32 0 5 0 0 1 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +8181 1978 2n Cycle Single 38593 1 0 13-09-2013 42 51 12 49 17 24 24 3 4 1 3 8 0 0 0 0 0 0 3 11 0 +1029 1970 PhD Together 64413 0 1 01-08-2013 27 200 5 44 0 10 20 1 5 1 5 5 0 0 0 0 0 0 3 11 0 +7369 1981 Master Married 36959 1 0 02-10-2013 56 25 6 25 6 0 0 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +2574 1977 PhD Married 61996 0 1 31-01-2013 27 1050 12 144 0 0 24 3 6 4 8 5 0 1 0 1 1 0 3 11 1 +8159 1968 Graduation Married 51287 1 1 01-04-2014 10 117 0 22 13 0 30 3 4 1 3 7 0 0 0 0 0 0 3 11 0 +1160 1970 Graduation Married 13260 1 1 23-08-2013 48 9 4 17 10 2 7 4 3 0 3 8 0 0 0 0 0 0 3 11 0 +10242 1966 PhD Together 47472 1 1 16-09-2013 39 56 0 11 0 0 8 2 2 0 4 5 0 0 0 0 0 0 3 11 0 +5253 1956 Master Together 54603 1 1 09-07-2013 85 145 13 46 17 2 4 6 4 2 4 7 0 0 0 0 0 0 3 11 0 +5966 1974 PhD Married 45207 1 1 10-11-2012 64 203 0 10 0 0 2 5 3 1 6 6 0 1 0 0 0 0 3 11 0 +5314 1951 Graduation Together 40689 0 1 18-03-2013 69 270 3 27 39 6 99 7 7 1 5 8 0 0 0 0 0 0 3 11 0 +5081 1967 2n Cycle Together 47821 1 1 20-10-2013 54 9 0 16 6 6 10 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +5123 1951 Master Married 27450 0 0 15-04-2013 57 37 12 23 8 11 52 1 2 1 3 7 0 0 0 0 0 0 3 11 0 +5756 1983 Graduation Together 39453 1 0 03-04-2014 64 46 0 7 0 0 2 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +8036 1971 2n Cycle Together 26850 1 1 18-04-2014 10 31 1 13 7 2 9 4 2 1 4 4 0 0 0 0 0 0 3 11 0 +9058 1955 Graduation Widow 79800 0 0 23-09-2012 65 1060 21 530 32 0 224 1 5 11 5 3 1 0 1 1 0 0 3 11 1 +5057 1961 Master Married 61794 0 1 14-09-2013 74 264 47 188 54 47 11 2 4 4 10 2 0 0 0 0 0 0 3 11 0 +254 1955 Graduation Together 53863 0 1 17-05-2014 4 399 4 30 6 4 30 3 7 1 7 7 0 1 0 0 0 0 3 11 0 +4179 1959 Graduation Together 24221 0 0 20-08-2013 94 8 9 9 2 5 22 1 1 1 3 4 0 0 0 0 0 0 3 11 0 +3710 1984 PhD Single 39684 1 0 12-10-2012 41 19 0 35 6 4 17 2 2 1 2 7 0 0 0 0 0 1 3 11 1 +7627 1975 Master Married 92163 0 0 12-12-2012 25 817 183 797 106 163 20 0 5 11 5 2 0 0 1 1 0 0 3 11 1 +4501 1965 Master Single 69882 0 0 10-11-2013 94 292 127 635 132 127 165 1 3 7 9 1 0 0 0 0 0 0 3 11 0 +6424 1977 Graduation Together 33178 1 0 30-01-2014 9 12 6 2 11 2 16 1 1 0 3 4 0 0 0 0 0 0 3 11 0 +3075 1972 PhD Married 59973 0 0 11-09-2013 47 130 30 168 20 34 0 1 3 4 7 1 0 0 0 0 0 0 3 11 0 +4992 1975 Master Together 17459 1 0 19-09-2013 12 6 4 16 3 10 30 3 3 1 2 7 0 0 0 0 0 0 3 11 1 +5252 1969 Graduation Divorced 23910 1 0 26-10-2012 80 16 12 18 7 1 13 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +7444 1969 Master Married 42169 1 1 19-10-2013 20 19 0 9 0 0 2 2 1 0 3 8 0 0 0 0 0 0 3 11 0 +6919 1978 2n Cycle Married 26224 1 0 04-06-2013 39 4 7 15 13 9 15 3 2 1 3 6 0 0 0 0 0 0 3 11 0 +3537 1981 Graduation Together 31089 1 0 17-08-2012 57 31 3 31 2 8 4 3 3 0 4 8 0 0 0 0 0 0 3 11 0 +10277 1961 Graduation Single 30081 0 1 21-02-2013 27 36 0 2 0 0 4 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +2453 1960 Graduation Together 62807 0 1 31-08-2012 83 526 28 135 10 21 99 3 5 3 12 5 0 0 0 0 0 0 3 11 0 +7972 1955 Graduation Single 72906 0 0 17-09-2013 79 400 32 519 71 75 54 1 3 4 9 1 0 0 0 0 0 0 3 11 0 +895 1948 PhD Married 61467 0 2 09-12-2012 69 410 16 114 0 5 49 3 5 2 10 5 0 0 0 0 0 0 3 11 0 +1177 1966 Master Together 49618 1 1 26-01-2013 77 80 3 26 4 2 14 4 3 1 3 7 0 0 0 0 0 0 3 11 0 +7141 1986 Master Single 21888 1 0 29-12-2012 15 88 10 46 2 3 64 4 5 1 2 10 0 0 0 0 0 0 3 11 1 +7232 1973 Graduation Widow 42429 0 1 11-02-2014 99 55 0 6 2 0 4 2 1 1 3 5 0 0 0 0 0 0 3 11 0 +8477 1956 Graduation Divorced 26150 2 1 11-03-2013 61 5 1 13 3 5 1 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +2457 1975 Basic Married 30801 0 1 26-10-2012 23 8 4 5 15 2 11 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +988 1965 Graduation Married 81168 0 0 07-05-2014 84 410 0 592 147 22 22 1 6 4 7 3 0 0 0 1 0 0 3 11 0 +7930 1969 Master Single 26877 0 0 19-08-2013 74 101 13 76 20 18 40 2 3 1 6 6 0 0 0 0 0 0 3 11 0 +4587 1944 Master Widow 45006 0 0 18-07-2013 90 162 25 53 16 0 10 1 3 1 7 3 0 0 0 0 0 0 3 11 0 +6682 1973 Basic Married 18978 1 0 11-12-2012 41 2 8 1 4 7 15 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +6222 1967 Graduation Married 22574 2 1 28-10-2013 28 25 0 8 2 0 2 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +10299 1969 PhD Single 48240 0 0 09-11-2012 73 389 91 248 64 49 41 3 6 3 13 5 0 0 0 0 0 0 3 11 1 +3083 1974 Graduation Married 45837 1 1 26-07-2013 88 215 13 87 17 17 24 5 6 2 5 7 0 0 0 0 0 0 3 11 0 +8953 1965 Master Single 35791 2 1 06-05-2013 94 27 0 5 0 0 3 2 1 0 3 8 0 0 0 0 0 0 3 11 0 +1503 1976 PhD Together 162397 1 1 03-06-2013 31 85 1 16 2 1 2 0 0 0 1 1 0 0 0 0 0 0 3 11 0 +8650 1978 Graduation Widow 54162 1 1 18-03-2013 31 5 6 10 6 5 10 1 1 0 3 4 0 0 0 0 0 0 3 11 0 +10862 1960 Master Married 30522 0 1 17-08-2012 6 179 8 83 19 11 26 5 1 2 9 2 0 0 0 0 0 0 3 11 0 +2782 1961 PhD Married 54456 0 1 11-07-2013 23 352 0 27 10 0 15 3 6 1 7 6 0 0 0 0 0 0 3 11 0 +6941 1971 Graduation Single 31632 0 0 14-07-2013 92 17 8 12 11 15 32 1 2 1 2 7 0 0 0 0 0 0 3 11 0 +10972 1949 Graduation Widow 72298 0 0 10-03-2014 52 625 35 169 58 17 35 1 4 3 6 1 0 1 1 0 0 0 3 11 0 +10708 1978 2n Cycle Single 36975 1 0 28-12-2013 50 10 6 11 0 4 2 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +6583 1955 2n Cycle Married 72635 0 0 03-06-2013 54 390 22 323 104 35 107 1 6 8 6 3 0 0 0 1 0 0 3 11 0 +3641 1976 Graduation Married 13624 1 0 20-01-2013 93 10 2 15 2 1 6 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +10156 1975 Graduation Single 84196 0 1 03-06-2013 56 215 63 507 231 31 190 1 8 4 7 3 0 0 0 0 0 0 3 11 0 +4299 1960 Graduation Together 70971 0 1 21-09-2012 28 1001 17 572 93 125 17 7 11 11 5 7 0 0 0 0 0 0 3 11 1 +3469 1977 PhD Divorced 34487 1 1 06-09-2012 94 19 18 33 24 1 8 3 3 0 3 9 0 0 0 0 0 0 3 11 0 +5063 1977 Graduation Single 28769 1 0 18-12-2012 76 41 5 129 10 3 3 3 4 1 4 9 0 0 0 0 0 0 3 11 0 +10727 1970 PhD Married 69084 1 0 19-11-2013 43 1181 107 199 39 30 30 2 7 3 13 8 0 0 0 0 0 0 3 11 0 +9624 1958 PhD Together 65488 0 0 13-06-2014 46 603 45 207 36 18 54 1 3 4 6 1 0 0 0 0 0 0 3 11 0 +5156 1970 2n Cycle Married 62466 0 1 15-01-2014 13 129 129 259 168 121 83 5 6 3 12 4 0 0 0 0 0 0 3 11 0 +4376 1960 2n Cycle Single 32218 0 0 15-02-2014 27 10 24 15 13 1 30 1 2 1 3 7 1 0 0 0 0 0 3 11 1 +8923 1973 Graduation Single 83917 0 0 18-04-2013 12 514 22 732 42 198 79 1 6 7 7 3 0 0 0 0 0 0 3 11 1 +8461 1962 Graduation Divorced 46102 2 1 10-03-2014 3 14 0 1 0 0 1 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +6945 1952 Graduation Single 84574 0 0 04-06-2013 72 387 20 713 38 54 163 1 9 11 11 5 0 0 0 0 0 0 3 11 0 +944 1962 Graduation Married 56181 0 1 08-01-2013 6 121 103 69 8 44 48 1 4 2 7 4 0 0 0 0 0 0 3 11 0 +1907 1950 Master Divorced 63120 0 1 28-09-2012 53 965 69 279 54 41 69 5 8 4 9 7 0 0 0 0 0 0 3 11 1 +701 1971 Graduation Married 73691 0 1 06-11-2013 58 707 21 250 85 43 73 2 6 2 8 2 1 0 0 0 0 0 3 11 0 +3856 1960 Graduation Together 63381 0 1 05-10-2012 78 571 50 142 33 50 159 4 4 5 13 2 0 0 0 0 0 0 3 11 0 +4149 1948 PhD Together 76140 0 0 13-05-2014 57 586 66 653 17 0 26 1 5 9 6 2 0 0 0 0 0 0 3 11 0 +2131 1959 PhD Divorced 62859 0 1 30-12-2012 37 1063 89 102 16 12 25 4 9 4 6 6 0 0 0 0 0 0 3 11 0 +2942 1964 Graduation Single 45906 0 1 07-05-2013 20 305 3 27 4 3 144 2 5 4 4 5 1 0 0 0 0 0 3 11 0 +1173 1947 Master Together 77632 0 0 10-03-2013 73 1200 105 758 0 42 147 1 4 2 6 2 0 1 1 0 0 0 3 11 1 +4381 1971 PhD Married 46463 1 1 18-08-2013 56 163 2 40 8 11 11 7 3 1 6 6 0 0 0 0 0 0 3 11 0 +4611 1970 Graduation Together 105471 0 0 21-01-2013 36 1009 181 104 202 21 207 0 9 8 13 3 0 0 1 1 0 0 3 11 1 +3376 1970 Master Divorced 55282 1 0 13-12-2013 9 125 6 73 8 4 19 1 3 1 6 4 0 0 0 0 0 0 3 11 0 +4679 1977 Master Married 78710 0 1 23-05-2014 42 721 0 152 119 50 50 3 7 6 12 4 0 0 0 0 0 0 3 11 0 +10928 1958 Graduation Together 66886 0 1 16-09-2013 28 315 4 62 41 31 146 2 7 1 7 5 0 0 0 0 0 0 3 11 0 +4248 1960 Master Single 98777 0 0 17-02-2014 23 1000 19 711 125 115 38 0 4 6 9 1 0 1 0 0 0 0 3 11 0 +6728 1985 Graduation Together 29103 1 0 27-08-2012 38 16 0 17 6 3 6 2 1 0 3 9 0 0 0 0 0 0 3 11 0 +6661 1974 Graduation Married 67445 0 1 12-08-2012 63 757 80 217 29 80 11 5 9 6 12 6 0 0 0 0 0 0 3 11 0 +4725 1950 PhD Together 50616 0 1 13-04-2014 71 30 2 25 0 1 9 1 1 1 4 2 0 0 0 0 0 0 3 11 0 +3277 1955 Graduation Divorced 49431 0 1 03-08-2012 9 219 3 100 26 0 17 2 7 1 5 8 0 0 0 0 0 0 3 11 0 +5555 1975 Graduation Divorced 153924 0 0 07-02-2014 81 1 1 1 1 1 1 0 0 0 0 0 0 0 0 0 0 0 3 11 0 +2564 1953 Graduation Together 61278 0 1 04-01-2014 87 111 3 28 2 6 15 2 3 1 4 6 0 0 0 0 0 0 3 11 0 +946 1958 2n Cycle Together 26490 0 0 22-09-2012 92 45 47 52 21 20 25 2 3 1 5 6 0 0 0 0 0 0 3 11 0 +3867 1947 PhD Together 73059 0 1 31-08-2013 36 410 112 420 0 82 71 1 9 3 13 4 0 0 0 0 0 0 3 11 0 +6940 1966 PhD Single 46734 1 2 21-10-2013 86 100 1 39 6 1 76 4 3 2 3 6 1 0 0 0 0 0 3 11 0 +55 1963 Graduation Together 56253 0 1 07-12-2012 83 509 0 65 7 11 5 4 7 2 9 6 0 0 0 0 0 0 3 11 0 +7093 1985 Graduation Married 19986 1 0 14-11-2013 74 3 6 5 0 2 6 1 0 0 3 7 0 0 0 0 0 0 3 11 0 +5084 1975 Graduation Widow 58330 0 1 25-12-2013 87 445 53 213 104 98 151 1 6 4 13 4 0 0 0 0 0 0 3 11 0 +1777 1980 Basic Married 25965 0 0 07-09-2012 29 2 2 11 41 7 11 1 2 0 3 8 0 0 0 0 0 0 3 11 0 +8162 1956 Master Together 14661 0 0 01-01-2013 88 4 1 11 6 2 2 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +10826 1959 Graduation Married 18690 0 0 28-12-2012 77 6 1 7 23 4 19 1 1 1 2 8 0 0 0 0 0 0 3 11 0 +8754 1974 PhD Together 45068 0 1 16-05-2013 25 14 0 3 0 0 3 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +1987 1987 Basic Single 21063 1 0 25-09-2013 34 1 10 11 19 3 15 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +11007 1968 PhD Married 29187 1 0 09-05-2013 43 26 0 6 0 0 2 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +7426 1971 2n Cycle Married 54690 1 1 07-11-2013 76 111 16 37 7 9 18 3 3 1 5 3 0 0 0 0 0 0 3 11 0 +9153 1964 PhD Married 59304 0 1 29-07-2013 81 418 61 428 80 51 10 3 7 8 10 5 0 0 0 0 0 0 3 11 0 +10379 1962 Master Single 59247 0 2 08-11-2013 87 327 9 122 19 14 83 5 5 2 9 6 0 0 0 0 0 0 3 11 0 +9204 1970 Graduation Widow 66731 0 1 12-09-2012 33 371 159 194 58 106 141 4 4 3 6 3 0 0 0 0 0 0 3 11 0 +3197 1980 Graduation Married 77353 0 1 16-12-2013 38 275 59 107 69 101 59 2 6 4 8 4 0 0 0 0 0 0 3 11 0 +2920 1975 PhD Single 52614 0 1 01-12-2012 63 789 0 142 12 9 38 2 2 4 8 8 0 0 0 0 0 0 3 11 0 +6961 1974 Graduation Married 26751 2 0 22-05-2014 26 1 1 5 0 3 1 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +4673 1963 PhD Married 81300 0 1 30-10-2012 17 1004 12 145 32 12 36 3 10 3 5 5 0 0 0 1 0 0 3 11 1 +9937 1979 Graduation Single 70337 0 0 02-01-2014 75 187 81 149 25 43 91 1 2 2 12 1 0 0 0 0 0 0 3 11 0 +8779 1985 2n Cycle Married 36145 1 0 16-06-2013 13 56 4 76 17 1 18 4 4 1 3 9 1 0 0 0 0 0 3 11 1 +9596 1980 PhD Single 65295 0 0 23-12-2013 19 365 32 117 34 110 6 1 3 3 13 2 0 0 0 0 0 0 3 11 0 +2891 1963 Graduation Divorced 68118 0 1 18-10-2013 51 595 23 123 10 23 154 2 8 9 4 6 0 0 0 0 0 0 3 11 0 +4910 1967 Graduation Divorced 68743 0 0 30-08-2012 81 1132 134 384 175 134 115 1 11 5 13 7 0 0 0 0 0 0 3 11 0 +75 1982 2n Cycle Together 41039 0 0 25-07-2013 32 34 11 137 179 61 45 1 8 1 5 8 0 0 0 0 0 0 3 11 0 +10120 1955 Graduation Together 38946 0 1 24-10-2013 84 116 6 82 6 6 41 2 3 1 6 5 0 0 0 0 0 0 3 11 0 +6327 1967 Graduation Together 65777 0 0 19-12-2013 87 565 32 435 28 32 54 1 2 8 6 1 0 0 0 0 0 0 3 11 0 +10142 1976 PhD Divorced 66476 0 1 07-03-2013 99 372 18 126 47 48 78 2 5 2 11 4 0 0 0 0 0 0 3 11 0 +9826 1972 PhD Single 86857 0 0 12-09-2012 96 899 102 838 133 102 40 1 5 6 10 2 0 0 0 0 0 0 3 11 1 +1501 1982 PhD Married 160803 0 0 04-08-2012 21 55 16 1622 17 3 4 15 0 28 1 0 0 0 0 0 0 0 3 11 0 +10767 1989 PhD Together 77845 0 0 16-05-2014 40 760 40 480 0 40 26 1 3 5 12 1 0 0 1 1 0 0 3 11 0 +7279 1969 PhD Together 69476 0 0 30-09-2013 3 260 86 559 63 9 67 1 4 6 4 2 0 0 0 0 0 0 3 11 0 +7230 1960 PhD Divorced 50611 0 1 04-10-2012 98 459 0 24 6 0 4 6 4 5 7 6 0 1 0 0 0 0 3 11 1 +143 1970 Graduation Single 61209 0 0 25-08-2013 73 466 0 224 119 49 99 1 5 3 4 2 0 0 0 0 0 0 3 11 0 +450 1958 Master Together 42315 0 1 12-07-2013 90 67 15 80 17 11 80 3 1 4 4 3 0 0 0 0 0 0 3 11 0 +9316 1952 Basic Together 13084 0 0 02-11-2013 29 2 0 7 3 7 10 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +6379 1949 Master Widow 47570 1 1 29-05-2013 3 67 1 20 0 2 31 3 2 2 2 7 0 0 0 0 0 0 3 11 1 +9239 1961 Master Married 61923 0 2 26-07-2013 94 92 4 18 3 3 6 1 2 1 4 3 0 0 0 0 0 0 3 11 0 +8315 1995 Graduation Single 34824 0 0 26-03-2014 65 4 2 11 2 0 4 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +2868 1949 PhD Single 26518 1 1 08-04-2013 33 20 1 28 3 3 2 3 2 0 3 8 0 0 0 0 0 0 3 11 1 +10888 1961 Graduation Single 45938 0 0 03-11-2013 46 273 11 178 62 83 29 2 8 4 6 6 0 0 0 0 0 0 3 11 0 +1277 1960 Graduation Together 78468 0 0 09-04-2014 29 434 22 388 104 22 34 1 10 7 10 4 0 0 0 1 0 0 3 11 0 +9977 1973 Graduation Divorced 78901 0 1 17-09-2013 99 321 11 309 33 26 34 3 9 3 5 4 0 0 0 0 0 0 3 11 0 +10196 1978 Graduation Married 71427 2 0 12-03-2014 26 212 123 177 15 64 23 2 8 2 8 4 0 0 0 0 0 0 3 11 0 +6384 1978 Graduation Divorced 71022 0 1 11-02-2014 30 909 12 278 0 12 242 3 5 2 11 8 1 0 0 0 0 0 3 11 0 +8029 1988 Master Single 90247 0 0 29-04-2014 27 1184 32 352 21 16 16 1 3 4 7 1 0 1 1 1 0 0 3 11 1 +968 1968 Master Divorced 41335 1 0 26-12-2013 24 112 19 21 16 14 5 3 4 1 4 7 0 0 0 0 0 0 3 11 0 +6988 1986 Graduation Married 71952 1 0 10-01-2013 93 656 80 455 52 107 93 2 8 4 8 4 1 0 1 0 0 0 3 11 0 +4472 1970 PhD Divorced 35682 1 0 27-06-2014 34 23 0 8 6 2 18 1 1 1 3 2 0 0 0 0 0 0 3 11 0 +6991 1951 Graduation Divorced 43185 0 1 10-04-2013 88 537 6 42 16 6 30 2 9 3 6 8 0 0 0 0 0 0 3 11 0 +3336 1948 PhD Together 66375 0 1 21-11-2013 96 712 0 45 0 0 191 3 2 4 5 7 1 0 0 0 0 0 3 11 0 +4301 1971 Master Married 35178 1 0 10-01-2013 10 23 1 13 2 2 18 1 1 1 2 7 1 0 0 0 0 0 3 11 1 +1940 1986 Graduation Married 25252 1 0 12-07-2013 26 1 3 4 2 2 6 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +1272 1965 Master Single 55250 0 1 21-10-2012 49 664 58 83 32 0 66 4 7 5 10 5 0 0 0 0 0 0 3 11 0 +1388 1975 Graduation Single 33249 1 0 20-02-2013 11 6 10 21 19 14 42 2 2 1 3 6 0 0 0 0 0 0 3 11 0 +1044 1953 Graduation Together 58398 0 0 14-05-2013 44 299 5 201 21 21 49 3 5 4 8 4 0 0 0 0 0 0 3 11 0 +6969 1982 Graduation Together 50272 1 0 07-08-2013 75 99 13 66 43 8 4 3 4 1 5 7 0 0 0 0 0 0 3 11 0 +10479 1975 PhD Married 76618 0 0 07-12-2012 64 749 40 294 121 160 147 1 3 2 5 1 0 0 0 0 0 0 3 11 0 +3619 1960 2n Cycle Divorced 87305 0 0 23-09-2012 19 345 25 501 63 138 80 1 5 3 8 2 0 0 1 0 0 0 3 11 1 +1715 1978 Graduation Together 25851 1 0 11-02-2013 45 9 4 18 7 5 5 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +10159 1970 Graduation Divorced 58710 0 1 31-03-2013 77 440 81 368 0 122 174 6 11 5 9 6 0 0 0 0 0 0 3 11 0 +1463 1958 Graduation Single 45160 1 1 29-03-2014 9 8 2 5 3 0 3 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +5114 1965 Master Married 74806 0 1 19-12-2012 1 670 9 249 0 28 9 2 5 4 5 4 0 0 0 0 0 0 3 11 0 +4990 1954 Graduation Married 59111 0 0 02-05-2013 90 524 0 134 28 28 155 1 11 1 8 7 0 0 0 0 0 0 3 11 0 +4329 1984 PhD Married 18988 1 0 23-05-2014 43 6 0 6 2 1 1 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +10936 1965 Graduation Married 72190 0 0 13-02-2013 79 597 166 597 172 166 249 1 5 6 4 3 0 0 0 0 0 0 3 11 0 +4692 1976 Graduation Married 7500 1 0 01-08-2012 19 7 0 12 13 7 32 5 4 1 2 9 1 0 0 0 0 0 3 11 1 +7212 1966 Graduation Married 44794 0 1 08-06-2014 99 54 0 7 0 0 4 1 2 0 3 6 0 0 0 0 0 0 3 11 0 +6086 1955 Graduation Married 80395 0 0 23-11-2013 62 445 25 706 80 76 48 1 6 5 12 2 0 0 0 1 0 0 3 11 0 +437 1976 Master Divorced 75012 0 0 25-01-2014 41 294 142 218 164 58 151 1 3 8 11 1 0 0 0 0 0 0 3 11 0 +11171 1965 Master Married 56962 2 1 11-10-2013 60 292 3 77 10 3 26 7 6 3 5 7 0 0 0 0 0 0 3 11 0 +11101 1991 Graduation Together 89891 0 0 15-04-2013 17 412 22 132 59 28 183 1 11 6 8 4 0 0 1 0 0 0 3 11 0 +5329 1949 PhD Divorced 35946 1 1 27-09-2013 24 8 0 3 0 0 0 1 0 0 3 5 0 0 0 0 0 0 3 11 0 +610 1953 PhD Together 53593 1 1 07-08-2012 60 349 4 78 6 0 43 8 7 2 6 8 0 0 0 0 0 0 3 11 0 +9384 1978 Graduation Married 66373 1 1 12-06-2013 57 328 9 124 12 24 109 7 4 2 10 3 0 0 0 0 0 0 3 11 0 +5956 1948 PhD Divorced 45072 1 2 16-10-2013 74 144 2 99 7 2 30 5 6 1 4 8 0 0 0 0 0 0 3 11 0 +10430 1973 Graduation Divorced 89694 1 1 09-10-2013 22 1126 28 211 37 28 42 3 4 3 4 5 0 1 1 1 0 0 3 11 0 +7875 1949 Graduation Married 72025 0 0 29-04-2014 46 967 0 617 43 50 0 1 4 8 13 2 0 1 1 1 0 0 3 11 1 +7072 1973 Graduation Married 67432 0 1 29-03-2013 69 432 79 341 177 136 170 2 8 5 4 4 0 0 0 0 0 0 3 11 0 +6255 1952 Master Together 70545 0 1 03-06-2014 29 138 39 63 55 18 21 1 4 1 7 2 0 0 0 0 0 0 3 11 0 +6516 1989 Basic Married 17487 1 0 18-03-2013 37 0 0 1 7 4 6 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +5564 1969 Graduation Together 62882 0 1 09-08-2012 26 509 133 497 78 24 97 2 7 5 6 4 0 0 0 0 0 0 3 11 0 +5682 1953 PhD Single 64108 0 1 23-03-2013 8 948 10 86 13 21 21 4 6 9 11 5 0 0 0 0 0 0 3 11 0 +7458 1956 Master Together 34941 1 1 06-03-2013 26 39 2 25 4 3 24 2 3 0 3 8 0 0 0 0 0 0 3 11 0 +5237 1950 PhD Single 48767 1 2 01-01-2014 79 28 1 21 3 0 10 3 2 1 3 5 0 0 0 0 0 0 3 11 0 +7761 1978 2n Cycle Together 38702 1 0 01-08-2013 71 13 11 24 13 8 40 2 3 0 4 6 0 0 0 0 0 0 3 11 0 +5278 1964 Graduation Married 82224 0 0 25-01-2014 83 307 26 360 138 31 40 1 6 9 5 3 0 0 0 1 0 0 3 11 0 +3560 1952 Graduation Together 83844 0 0 12-05-2013 57 901 31 345 75 31 191 1 4 4 11 1 0 0 1 0 0 0 3 11 0 +7235 1975 2n Cycle Married 17003 1 0 09-12-2013 37 2 5 12 4 8 7 3 2 0 4 5 0 0 0 0 0 0 3 11 0 +10548 1995 Graduation Single 71163 0 0 09-03-2014 30 283 17 372 138 106 44 1 3 8 12 1 0 0 0 0 0 0 3 11 0 +2281 1970 Graduation Single 33697 1 0 15-09-2013 34 4 3 7 0 3 11 1 1 0 2 7 1 0 0 0 0 0 3 11 0 +4073 1954 2n Cycle Married 63564 0 0 29-01-2014 0 769 80 252 15 34 65 1 10 10 7 6 1 0 0 0 0 0 3 11 1 +6974 1972 PhD Together 83443 0 0 31-12-2013 89 518 42 742 55 56 84 1 6 10 5 2 0 0 0 0 0 0 3 11 0 +7938 1958 PhD Together 51518 0 1 03-10-2013 92 350 8 66 17 4 4 2 3 2 10 3 0 0 0 0 0 0 3 11 0 +7094 1975 Graduation Widow 58330 0 1 25-12-2013 87 445 53 213 104 98 151 1 6 4 13 4 0 0 0 0 0 0 3 11 0 +3667 1969 Graduation Married 80952 0 0 28-02-2013 20 778 178 689 41 27 44 1 8 5 11 8 0 1 1 1 0 0 3 11 1 +7723 1979 Graduation Together 75507 0 0 02-05-2014 56 709 93 374 104 80 80 1 8 6 6 3 0 0 0 0 0 0 3 11 0 +3870 1978 2n Cycle Together 63855 0 0 09-02-2013 28 359 35 314 93 116 89 1 7 3 13 4 0 0 0 0 0 0 3 11 0 +4012 1972 PhD Together 62220 0 1 11-08-2012 55 799 12 375 16 12 12 5 7 6 5 6 0 0 0 0 0 0 3 11 1 +5909 1964 Graduation Married 58512 0 1 19-09-2013 25 895 10 101 13 0 152 5 3 4 8 8 0 0 0 0 0 0 3 11 0 +10470 1979 Master Married 40662 1 0 15-03-2013 0 40 2 23 0 4 23 2 2 1 3 4 0 0 0 0 0 0 3 11 0 +6488 1959 PhD Married 38829 0 1 06-04-2014 86 76 0 7 0 0 16 1 3 2 2 5 0 0 0 0 0 0 3 11 0 +10270 1981 2n Cycle Married 35523 1 0 03-10-2013 8 11 5 22 12 5 11 2 3 0 3 7 0 0 0 0 0 0 3 11 0 +6887 1967 Graduation Single 79146 1 1 24-04-2014 33 245 16 223 21 43 16 2 8 1 8 6 0 0 0 0 0 0 3 11 0 +6406 1988 Master Married 78285 0 0 28-10-2013 13 647 107 391 175 67 40 1 6 4 10 3 0 0 0 0 0 0 3 11 0 +7573 1978 PhD Single 31626 1 0 10-05-2013 12 39 1 9 2 1 34 1 2 1 2 7 1 0 0 0 0 0 3 11 1 +4508 1952 Graduation Single 75127 0 0 22-05-2014 92 203 35 305 46 17 227 1 2 11 5 1 0 0 0 0 0 0 3 11 0 +221 1955 Graduation Married 48726 0 1 27-04-2013 90 138 3 38 4 0 59 3 3 2 4 6 0 0 0 0 0 0 3 11 0 +5331 1977 Graduation Married 74985 0 0 11-09-2012 8 587 51 898 247 0 86 1 3 6 7 2 0 0 0 0 0 0 3 11 0 +1911 1987 Graduation Together 67430 0 0 05-09-2012 6 595 97 291 127 133 121 1 11 5 12 6 0 0 0 0 0 0 3 11 0 +20 1965 2n Cycle Married 46891 0 1 01-09-2013 91 43 12 23 29 15 61 1 2 1 4 4 0 0 0 0 0 0 3 11 0 +8786 1956 Master Married 62058 0 1 26-05-2013 52 301 7 74 10 0 58 4 6 1 7 6 0 0 0 0 0 0 3 11 0 +10582 1979 Graduation Married 72063 0 1 03-07-2013 3 180 32 348 76 32 90 2 5 2 12 2 0 0 0 0 0 0 3 11 0 +1915 1951 PhD Married 78939 0 0 12-12-2013 57 794 115 243 150 0 205 1 8 5 6 3 0 0 0 0 0 0 3 11 0 +8897 1965 Graduation Single 42720 1 1 24-04-2013 9 392 5 91 28 26 112 8 7 3 7 8 0 0 0 0 0 0 3 11 1 +2371 1972 Graduation Married 33622 1 1 13-04-2013 22 39 1 22 3 4 12 3 2 0 4 7 0 0 0 0 0 0 3 11 0 +4303 1957 PhD Together 6835 0 1 08-12-2012 76 107 2 12 2 2 12 0 0 0 1 20 0 0 0 0 0 0 3 11 0 +6825 1953 Graduation Together 41452 1 1 06-03-2013 86 13 0 3 0 0 0 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +1072 1965 PhD Single 40760 0 1 30-08-2013 64 70 0 17 0 0 6 2 2 1 3 6 0 0 0 0 0 0 3 11 0 +4964 1958 PhD Together 74250 0 0 26-01-2014 90 680 11 392 75 0 0 1 2 11 4 1 0 0 0 0 0 0 3 11 0 +2461 1955 Master Single 51124 1 1 18-12-2013 79 26 1 11 0 1 4 2 1 0 3 3 0 0 0 0 0 0 3 11 0 +10736 1971 Graduation Single 72258 0 1 12-09-2013 28 522 0 522 227 120 134 2 6 9 5 2 0 0 0 0 0 0 3 11 0 +3194 1974 PhD Single 71466 0 0 05-04-2014 86 412 12 546 78 182 0 1 4 4 10 1 0 0 0 0 0 0 3 11 0 +10839 1976 Graduation Together 36283 1 1 14-04-2014 42 6 5 5 8 0 5 2 1 0 3 4 0 0 0 0 0 0 3 11 0 +49 1970 Graduation Single 20587 1 0 11-05-2014 39 2 3 6 4 1 9 1 1 1 2 7 0 0 0 0 0 0 3 11 0 +4290 1972 Graduation Married 30467 1 0 19-03-2014 8 1 3 8 2 5 5 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +10219 1972 Graduation Together 31590 1 0 18-06-2013 40 6 2 15 6 6 3 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +4211 1986 Basic Married 20425 1 0 29-10-2012 5 4 12 5 3 16 17 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +1135 1960 Master Together 17144 1 1 15-02-2014 96 18 2 19 0 2 6 5 3 0 4 7 0 0 0 0 0 0 3 11 0 +6299 1968 PhD Divorced 42564 0 1 02-01-2013 28 324 48 186 39 18 198 6 6 8 4 7 1 0 0 0 0 0 3 11 1 +10846 1978 Master Married 43783 1 0 29-05-2014 22 327 9 125 25 4 139 6 7 1 8 7 1 0 0 0 0 0 3 11 0 +347 1976 Graduation Divorced 40780 0 1 08-09-2012 30 229 27 71 13 3 34 4 7 1 5 9 0 0 0 0 0 0 3 11 0 +6543 1945 Master Together 62847 0 0 15-01-2013 45 521 168 706 80 76 61 1 3 6 4 2 0 0 0 0 0 0 3 11 0 +10446 1957 PhD Married 82017 0 0 07-11-2012 58 184 23 446 30 23 23 1 5 4 7 2 0 1 1 1 0 0 3 11 1 +3479 1950 Graduation Single 16813 0 0 19-07-2013 49 4 8 11 12 2 13 1 2 0 3 7 1 0 0 0 0 0 3 11 0 +11075 1978 Graduation Married 51267 1 1 29-10-2013 37 183 2 64 7 2 12 4 3 3 5 4 0 0 0 0 0 0 3 11 0 +4442 1961 Graduation Single 46524 0 1 05-04-2013 70 31 19 35 26 14 52 2 1 1 5 3 0 0 0 0 0 0 3 11 0 +199 1962 Master Single 45183 0 0 20-01-2013 33 219 3 60 12 9 12 1 4 1 7 7 0 1 0 0 0 0 3 11 0 +6722 1954 PhD Married 70421 0 1 28-06-2014 98 479 28 136 75 14 35 3 10 3 7 6 0 0 0 0 0 0 3 11 0 +796 1965 2n Cycle Divorced 60161 0 1 23-10-2012 17 584 44 212 46 8 177 3 11 4 8 8 0 0 0 0 0 0 3 11 0 +3749 1973 Graduation Together 73926 0 0 02-03-2013 54 627 91 597 159 91 15 1 6 5 12 3 0 0 0 0 0 0 3 11 0 +8523 1968 Graduation Married 19329 1 0 14-12-2013 39 24 1 16 12 2 5 3 4 0 3 8 0 0 0 0 0 0 3 11 0 +310 1970 Master Married 61872 0 1 13-12-2013 81 330 5 159 36 27 16 4 4 4 9 4 0 0 0 0 0 0 3 11 0 +8629 1956 Graduation Widow 46984 1 1 26-03-2013 71 19 1 10 2 1 8 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +236 1951 Graduation Married 34838 1 1 19-01-2013 62 28 23 29 29 14 47 3 2 1 4 6 0 0 0 0 0 0 3 11 0 +9930 1944 PhD Single 82716 0 0 05-11-2013 8 606 148 228 15 148 22 1 6 8 13 2 0 0 0 0 0 0 3 11 0 +3483 1958 Graduation Married 48192 0 0 06-04-2013 76 1039 43 204 153 58 29 3 2 8 12 8 0 1 0 1 1 0 3 11 1 +4599 1976 Master Married 49681 0 2 04-11-2013 66 411 0 26 0 0 21 6 7 1 7 7 0 0 0 0 0 0 3 11 0 +7326 1971 Master Married 56850 0 1 23-03-2014 83 34 1 19 2 7 0 1 1 1 3 2 0 0 0 0 0 0 3 11 0 +7352 1957 Graduation Married 55267 0 1 21-10-2013 28 161 28 136 32 3 45 4 3 4 6 3 0 0 0 0 0 0 3 11 0 +2350 1972 Graduation Married 59666 1 1 22-03-2013 87 623 53 178 23 17 133 7 3 2 8 8 0 1 0 0 0 0 3 11 0 +9145 1972 Graduation Single 72504 0 1 06-04-2013 43 604 26 470 123 161 94 2 5 9 6 2 0 0 0 0 0 0 3 11 0 +2964 1981 Graduation Married 26872 0 0 16-10-2013 0 3 10 8 3 16 32 1 1 1 2 6 0 0 0 0 0 0 3 11 0 +5585 1972 Graduation Single 21359 1 0 20-04-2013 1 12 2 17 6 1 10 2 2 0 3 8 0 0 0 0 0 0 3 11 1 +9687 1975 Graduation Single 73170 0 0 31-05-2014 1 184 174 256 50 30 32 1 5 4 6 2 0 0 0 0 0 0 3 11 0 +3732 1955 Master Married 52750 0 1 04-02-2013 72 393 0 239 90 69 69 6 5 7 9 4 0 0 0 0 0 0 3 11 0 +6303 1986 PhD Together 91820 0 0 23-11-2013 72 410 73 747 76 161 30 0 5 5 12 1 0 0 0 0 0 0 3 11 0 +11176 1970 PhD Together 65968 0 1 12-05-2014 12 376 9 83 19 4 4 2 5 4 7 3 0 0 0 0 0 0 3 11 0 +2986 1976 Graduation Married 30772 1 1 12-03-2014 89 7 2 4 2 1 4 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +7462 1954 Graduation Single 22507 0 0 24-11-2012 67 68 0 226 51 157 68 3 10 2 4 9 0 0 0 0 0 0 3 11 0 +3900 1972 Graduation Married 65685 0 1 29-03-2014 54 642 14 49 0 7 57 1 9 2 9 5 0 0 0 0 0 0 3 11 0 +7034 1978 2n Cycle Married 25804 1 0 01-09-2013 34 8 7 9 13 6 12 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +9493 1980 PhD Single 76412 0 0 05-05-2013 15 840 53 804 23 71 17 1 5 4 8 3 0 0 1 1 0 0 3 11 1 +1143 1972 Graduation Married 22063 1 0 08-08-2013 43 7 10 13 3 11 11 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +1 1961 Graduation Single 57091 0 0 15-06-2014 0 464 5 64 7 0 37 1 7 3 7 5 0 0 0 0 1 0 3 11 1 +3855 1963 Graduation Married 22419 0 0 18-04-2013 74 30 3 47 19 21 42 1 3 2 2 8 0 0 0 0 0 0 3 11 0 +5536 1959 Graduation Together 87771 0 1 22-05-2013 61 1492 38 287 50 57 33 1 5 10 4 6 0 1 1 1 1 0 3 11 1 +5989 1959 2n Cycle Divorced 78353 0 1 16-04-2013 51 752 122 476 39 153 34 1 10 2 11 8 0 0 0 0 0 0 3 11 0 +9499 1954 Graduation Married 93404 1 2 07-05-2013 97 1279 15 287 20 0 15 3 3 4 7 5 0 1 1 0 0 0 3 11 0 +6768 1962 Graduation Divorced 37859 1 2 12-01-2013 75 22 1 8 2 1 2 2 1 0 3 8 0 0 0 0 0 0 3 11 0 +2150 1958 PhD Widow 80995 0 1 11-05-2013 83 860 28 409 73 56 56 1 8 9 4 4 0 0 0 0 0 0 3 11 0 +6646 1984 Graduation Together 16529 1 0 01-03-2014 23 3 0 5 13 0 1 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +4887 1976 PhD Divorced 55412 1 1 22-11-2013 65 10 5 28 11 1 8 1 2 0 3 5 0 0 0 0 0 0 3 11 0 +8560 1992 Graduation Single 48789 0 0 10-09-2012 94 351 16 156 7 5 145 1 6 4 7 6 0 0 0 0 0 0 3 11 0 +3321 1967 PhD Together 56575 0 2 05-05-2013 42 421 5 90 0 16 10 3 7 3 7 5 0 0 0 0 0 0 3 11 0 +11003 1980 2n Cycle Together 25130 1 0 02-10-2013 10 2 5 7 0 18 18 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +10402 1967 Graduation Married 35441 1 1 14-02-2013 94 25 1 9 2 1 1 2 1 0 3 8 0 0 0 0 0 0 3 11 0 +9904 1956 Graduation Married 71391 0 1 29-03-2013 50 336 123 274 46 123 141 5 6 5 12 3 0 0 0 0 0 0 3 11 0 +6141 1972 Master Single 49494 1 0 25-04-2013 46 191 9 97 0 6 82 2 6 1 5 7 0 0 0 0 0 0 3 11 0 +5687 1980 Graduation Divorced 81702 0 0 23-09-2012 98 563 50 774 28 31 187 1 7 7 12 3 0 0 0 0 0 0 3 11 0 +10856 1980 2n Cycle Single 45889 0 1 02-07-2013 42 31 0 6 0 1 8 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +5121 1977 Graduation Single 56628 0 1 21-03-2014 30 479 5 82 7 17 171 2 7 6 5 5 1 0 0 0 0 0 3 11 0 +4186 1950 Graduation Together 34026 1 1 05-08-2013 11 18 6 15 12 8 17 3 2 1 3 5 0 0 0 0 0 0 3 11 0 +368 1974 Graduation Married 40049 0 1 29-11-2012 61 91 65 52 10 44 28 3 3 2 6 5 0 0 0 0 0 0 3 11 0 +3312 1988 Graduation Single 34176 1 0 12-05-2014 12 5 7 24 19 14 20 4 3 0 4 6 0 0 0 0 0 0 3 11 0 +11121 1981 Graduation Married 19419 1 0 10-11-2012 76 2 14 28 16 3 7 4 4 0 3 9 0 0 0 0 0 0 3 11 0 +5332 1960 2n Cycle Married 82504 0 0 27-07-2013 2 362 50 431 134 35 54 1 3 6 7 1 0 0 0 0 0 0 3 11 0 +5848 1970 Graduation Together 81205 0 0 13-01-2014 43 724 74 929 97 55 130 1 5 6 7 2 1 0 1 0 1 0 3 11 1 +10343 1991 2n Cycle Single 61618 0 0 29-09-2012 27 605 91 399 0 45 205 2 3 6 8 3 0 0 0 0 0 0 3 11 0 +5935 1956 Master Single 55284 0 1 24-12-2012 60 547 7 140 0 7 63 3 7 5 8 5 0 0 0 0 0 0 3 11 0 +2895 1963 Graduation Single 49980 0 1 23-10-2013 79 104 1 54 13 9 14 2 3 1 5 5 0 0 0 0 0 0 3 11 0 +10262 1980 Graduation Married 15072 2 0 10-05-2013 96 8 2 15 0 10 18 4 3 1 3 5 0 0 0 0 0 0 3 11 0 +7848 1974 Graduation Single 49166 0 1 13-06-2013 17 224 2 25 7 0 110 2 5 3 3 6 0 0 0 0 0 0 3 11 0 +9477 1954 PhD Married 65324 0 1 11-01-2014 0 384 0 102 21 32 5 3 6 2 9 4 0 0 0 0 0 0 3 11 0 +4856 1957 2n Cycle Married 82347 0 0 06-11-2012 38 556 54 845 202 133 63 1 7 7 10 3 1 0 0 1 0 0 3 11 0 +7186 1966 PhD Together 30843 1 1 26-05-2014 43 24 0 2 0 0 9 2 1 1 2 5 1 0 0 0 0 0 3 11 0 +5794 1974 PhD Married 46374 0 1 17-03-2014 1 408 0 21 0 0 17 3 7 1 7 8 0 1 0 1 0 0 3 11 1 +1456 1979 Graduation Single 60474 0 1 01-04-2013 25 265 199 303 234 9 170 7 10 2 12 7 0 0 0 0 0 0 3 11 0 +4877 1973 Master Married 38576 0 1 04-03-2014 2 34 0 7 0 0 0 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +425 1985 Graduation Married 55357 2 0 19-02-2013 66 374 64 116 84 25 64 3 6 2 11 5 0 0 0 0 0 0 3 11 0 +3007 1966 Graduation Together 37758 1 1 04-10-2012 49 27 2 10 0 0 1 2 1 0 3 8 0 0 0 0 0 0 3 11 0 +1031 1989 2n Cycle Married 85710 0 0 05-05-2013 5 600 20 350 29 30 33 1 6 9 10 2 0 0 1 0 0 0 3 11 0 +4297 1969 Graduation Together 23228 1 0 26-01-2014 71 13 2 18 6 1 0 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +807 1969 Master Together 44602 1 1 15-02-2014 35 167 2 89 0 0 34 6 6 1 4 8 0 0 0 0 0 0 3 11 0 +9553 1987 Graduation Married 7500 0 0 09-01-2013 94 0 2 3 4 1 5 1 0 0 3 6 0 0 0 0 0 0 3 11 0 +4271 1989 2n Cycle Together 38683 1 0 04-10-2012 80 46 35 69 84 41 66 6 4 1 6 7 0 0 0 0 0 0 3 11 0 +4120 1975 2n Cycle Single 49514 1 0 17-12-2013 61 88 39 78 58 13 93 2 6 1 4 7 0 0 0 0 0 0 3 11 0 +2036 1973 PhD Together 57906 0 1 11-06-2013 29 243 11 119 10 3 15 3 4 2 8 4 0 0 0 0 0 0 3 11 0 +115 1966 Master Single 43456 0 1 26-03-2013 0 275 11 68 25 7 7 3 5 1 8 5 0 0 0 0 0 0 3 11 0 +4259 1986 Master Single 19485 2 0 24-09-2013 80 6 0 4 0 0 0 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +8687 1978 Graduation Together 53172 0 1 06-05-2013 54 121 62 90 68 20 125 3 2 3 8 3 0 0 0 0 0 0 3 11 0 +2447 1979 Graduation Together 30545 1 0 17-10-2012 71 4 12 15 19 7 12 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +10140 1983 PhD Together 70123 0 0 28-09-2013 27 1308 0 396 23 0 0 1 5 7 4 3 0 1 0 0 1 0 3 11 0 +9353 1959 Graduation Single 62450 0 1 06-01-2014 61 515 47 267 62 66 38 2 5 5 4 3 0 1 0 0 0 0 3 11 0 +3623 1976 Graduation Together 21675 1 0 11-06-2014 55 4 0 16 17 4 4 3 4 0 3 7 0 0 0 0 0 0 3 11 0 +738 1981 2n Cycle Single 42395 1 1 04-04-2014 35 48 13 57 24 15 25 4 3 1 4 7 0 0 0 0 0 0 3 11 0 +7631 1978 Master Together 61346 1 0 06-10-2013 34 562 58 168 43 16 142 1 5 7 10 3 0 0 0 0 0 0 3 11 0 +4789 1953 Graduation Together 80812 0 0 17-09-2013 95 769 22 500 210 143 33 1 4 8 5 2 1 0 1 1 0 0 3 11 0 +773 1971 Master Divorced 42835 1 1 30-06-2013 64 379 4 93 12 9 98 7 6 6 4 6 0 0 0 0 0 0 3 11 0 +10602 1983 Graduation Married 39922 1 0 14-02-2013 30 29 12 59 19 1 36 2 3 0 4 8 0 0 0 0 0 0 3 11 0 +1446 1956 Master Single 86424 0 0 05-04-2014 12 387 68 569 89 45 68 1 6 9 12 1 0 0 0 0 0 0 3 11 0 +3270 1978 2n Cycle Together 17117 1 0 17-01-2013 96 12 23 38 30 18 7 4 3 1 3 9 0 0 0 0 0 0 3 11 0 +8443 1972 Graduation Single 24762 1 0 10-02-2014 16 6 10 12 3 15 40 3 3 1 2 8 1 0 0 0 0 0 3 11 1 +9653 1975 Graduation Married 35797 0 1 16-10-2012 16 27 1 14 4 1 21 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +8916 1975 Graduation Divorced 36627 2 0 23-07-2013 78 9 1 5 0 0 1 1 0 0 3 5 0 0 0 0 0 0 3 11 0 +8017 1981 2n Cycle Married 51111 1 1 19-06-2014 83 22 0 19 6 5 3 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +5830 1972 PhD Single 86857 0 0 12-09-2012 96 899 102 838 133 102 40 1 5 6 10 2 0 0 0 0 0 0 3 11 1 +4597 1970 PhD Together 82072 0 0 02-07-2013 67 889 55 685 168 92 129 1 3 2 13 1 0 0 0 0 0 0 3 11 0 +7023 1953 PhD Single 46231 2 1 26-11-2012 87 189 2 55 0 5 12 4 6 1 4 9 0 0 0 0 0 0 3 11 0 +8086 1959 Graduation Married 42243 1 1 11-12-2013 34 48 0 2 0 0 5 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +8825 1962 Graduation Together 51195 1 1 01-04-2013 46 230 14 156 82 24 58 8 9 2 5 8 0 0 0 0 0 0 3 11 0 +2930 1978 Master Single 68092 0 0 16-12-2013 7 852 60 207 78 36 48 2 2 6 10 5 0 0 0 0 0 0 3 11 0 +1928 1973 Graduation Married 31814 1 0 09-02-2013 73 35 3 20 4 1 20 2 2 0 3 9 1 0 0 0 0 0 3 11 0 +7108 1965 Master Widow 51390 1 1 08-09-2012 54 205 20 47 23 2 56 6 5 2 5 5 0 0 0 0 0 0 3 11 0 +10925 1983 Graduation Married 76630 0 0 14-01-2014 93 255 31 446 40 56 175 1 3 10 11 1 0 0 0 0 0 0 3 11 0 +9960 1991 Basic Single 26868 1 0 30-04-2014 52 0 0 1 8 3 2 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +8800 1943 PhD Divorced 48948 0 0 01-02-2013 53 437 8 206 160 49 42 2 7 10 5 6 1 0 0 0 0 0 3 11 1 +9224 1972 PhD Single 55260 0 1 12-12-2012 81 825 8 53 11 0 242 2 8 10 5 6 0 0 0 0 0 0 3 11 0 +5519 1956 Graduation Together 64090 0 1 07-08-2013 8 316 58 161 76 51 135 1 6 9 4 5 0 0 0 0 0 0 3 11 1 +5046 1958 Graduation Divorced 78331 0 1 23-01-2014 97 756 138 354 160 169 61 2 10 6 7 4 0 0 0 0 0 0 3 11 0 +7037 1974 PhD Married 37087 1 0 11-08-2013 50 194 55 134 15 0 3 3 4 2 8 6 0 0 0 0 0 0 3 11 0 +905 1986 Graduation Divorced 21846 1 0 22-10-2013 38 7 17 18 6 10 26 4 4 0 3 8 0 0 0 0 0 0 3 11 0 +8624 1958 Graduation Married 81320 0 0 06-02-2013 61 183 33 493 59 103 57 1 4 3 10 2 0 0 0 0 0 0 3 11 0 +8945 1970 Graduation Divorced 54137 0 1 16-08-2013 46 171 0 11 0 1 20 2 4 1 4 6 0 0 0 0 0 0 3 11 0 +6445 1967 Graduation Together 66825 0 0 14-07-2013 73 243 101 405 29 40 40 1 4 5 6 2 0 0 0 0 0 0 3 11 0 +2727 1973 Graduation Together 57100 0 0 04-12-2013 19 181 21 69 39 3 96 1 3 3 6 3 0 0 0 0 0 0 3 11 0 +6404 1969 Graduation Together 58917 1 2 24-03-2013 10 151 7 89 0 7 28 5 4 1 6 5 0 0 0 0 0 0 3 11 0 +11074 1977 Graduation Single 85072 0 0 09-04-2014 94 494 92 391 194 11 241 1 3 4 10 0 0 0 0 0 0 0 3 11 0 +10150 1961 Graduation Single 86429 0 0 21-11-2013 10 464 28 873 29 18 37 0 7 4 7 2 0 0 0 1 0 0 3 11 1 +1968 1971 Graduation Widow 45684 1 0 02-12-2013 37 5 1 5 10 0 7 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +6534 1974 Graduation Together 47889 1 0 04-01-2014 94 29 0 29 0 5 4 1 2 0 3 5 0 0 0 0 0 0 3 11 0 +9485 1986 PhD Married 45921 0 0 10-03-2014 23 102 9 49 24 3 12 1 2 1 6 4 0 0 0 0 0 0 3 11 0 +7053 1966 PhD Single 78420 0 0 29-06-2013 75 604 28 674 91 28 28 1 3 10 8 1 0 0 0 0 0 0 3 11 0 +4654 1992 Graduation Together 75114 0 0 07-11-2013 40 571 12 523 63 60 24 1 3 10 5 2 0 0 0 0 0 0 3 11 0 +9760 1963 PhD Widow 52278 0 1 25-01-2013 24 953 0 71 0 0 174 6 10 5 10 8 0 0 0 0 0 0 3 11 1 +1048 1972 Master Married 35641 1 0 14-07-2013 11 63 3 67 8 9 28 2 3 1 4 7 0 0 0 0 0 0 3 11 1 +10619 1994 Graduation Single 95529 0 0 03-12-2012 29 770 29 890 250 27 24 1 7 3 7 3 0 0 1 0 0 0 3 11 1 +9308 1954 Graduation Married 62820 0 0 11-05-2013 51 398 61 265 138 61 53 1 3 4 6 1 0 0 0 0 0 0 3 11 0 +10505 1960 Master Together 73113 0 0 26-12-2013 86 741 19 154 50 9 28 1 3 4 7 2 0 0 0 0 0 0 3 11 0 +8362 1982 PhD Married 84169 0 0 07-08-2013 9 1478 19 403 0 19 0 1 7 6 6 3 0 1 1 0 0 0 3 11 1 +2625 1954 2n Cycle Single 42607 0 1 17-11-2013 30 156 29 56 30 32 47 2 3 2 7 3 0 0 0 0 0 0 3 11 0 +4637 1954 PhD Single 74637 0 0 18-05-2013 73 960 64 464 146 0 16 1 6 9 9 3 0 0 0 1 0 0 3 11 0 +9972 1955 PhD Together 46015 1 1 13-04-2014 25 38 0 2 0 0 6 1 1 0 3 7 1 0 0 0 1 0 3 11 0 +4483 1993 Graduation Single 72354 0 0 17-04-2013 67 315 26 473 220 12 182 1 2 10 6 1 0 0 0 0 0 0 3 11 0 +4487 1969 Master Single 39858 1 0 24-01-2013 67 15 20 25 2 7 26 1 2 0 4 6 0 0 0 0 0 0 3 11 1 +4988 1948 PhD Married 34469 1 1 04-05-2014 58 19 6 20 0 5 12 3 1 1 4 4 0 0 0 0 0 0 3 11 0 +8931 1986 Graduation Together 83033 1 0 18-05-2014 82 812 99 431 237 149 33 1 11 4 10 5 0 0 0 1 0 0 3 11 0 +5871 1979 Master Together 24401 0 0 31-08-2012 98 73 28 217 10 24 115 3 6 1 6 8 0 0 0 0 0 0 3 11 0 +2008 1978 Graduation Married 77583 0 0 10-02-2014 93 372 23 384 250 12 108 1 4 5 9 2 0 0 0 1 0 0 3 11 0 +3139 1982 2n Cycle Single 74116 0 0 30-12-2013 53 871 111 704 145 55 166 1 4 4 10 2 0 1 0 0 0 0 3 11 0 +10037 1993 Graduation Single 74293 0 0 04-05-2014 66 375 152 335 93 91 81 1 5 4 6 2 0 0 0 0 0 0 3 11 0 +10673 1976 PhD Married 68397 0 1 17-11-2013 6 760 80 466 17 13 80 1 6 9 5 3 0 0 0 0 0 0 3 11 0 +5303 1974 PhD Together 79632 0 0 08-04-2014 42 471 0 510 99 21 12 1 6 4 9 2 0 0 0 0 0 0 3 11 0 +538 1989 Graduation Single 46107 1 0 10-02-2014 78 31 9 27 16 9 33 1 1 1 4 3 0 0 0 0 0 0 3 11 0 +7922 1951 PhD Single 64950 0 1 12-08-2012 29 819 0 72 12 0 63 2 11 2 10 7 0 1 0 0 0 0 3 11 0 +5692 1989 Basic Married 25443 1 0 22-12-2012 82 1 4 3 8 9 7 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +4843 1952 Graduation Single 75127 0 0 22-05-2014 92 203 35 305 46 17 227 1 2 11 5 1 0 0 0 0 0 0 3 11 0 +6383 1971 PhD Together 32892 1 0 25-05-2014 78 26 0 15 2 1 2 2 3 0 3 8 0 0 0 0 0 0 3 11 0 +1628 1971 Graduation Together 71796 0 0 24-10-2013 54 354 21 311 167 75 32 1 9 3 4 4 0 0 0 0 0 0 3 11 0 +1204 1970 PhD Married 67536 0 1 22-05-2013 45 1253 0 447 23 71 35 3 11 5 11 8 0 0 0 1 0 0 3 11 0 +3673 1971 Graduation Single 55239 0 1 14-07-2013 59 371 17 238 23 24 106 3 7 5 11 5 0 0 0 0 0 0 3 11 0 +760 1975 PhD Divorced 60554 1 0 09-08-2013 8 588 7 76 110 15 15 2 8 4 9 6 0 0 0 0 0 0 3 11 0 +8957 1952 2n Cycle Single 64831 1 1 10-06-2013 51 480 86 249 75 86 144 8 6 3 5 6 0 0 0 0 0 0 3 11 0 +4128 1962 PhD Together 56067 0 1 20-07-2013 51 517 12 54 16 6 120 2 7 4 7 5 0 0 0 0 0 0 3 11 0 +6810 1983 Graduation Divorced 82025 0 0 28-05-2013 76 267 98 606 48 70 98 1 3 2 6 1 0 0 1 0 0 0 3 11 1 +5386 1953 Graduation Together 94384 0 0 04-03-2013 62 1111 24 790 160 45 172 0 5 8 5 2 0 1 1 1 0 0 3 11 1 +8700 1986 Basic Single 14906 0 0 22-12-2012 86 7 7 14 7 16 15 3 2 1 3 7 0 0 0 0 0 0 3 11 0 +3202 1987 PhD Married 51563 0 0 01-10-2012 60 1166 0 48 0 0 36 1 4 4 10 8 0 1 1 0 0 0 3 11 0 +1328 1982 2n Cycle Married 57937 0 1 16-02-2014 56 261 42 144 55 48 133 3 4 4 9 3 0 0 0 0 0 0 3 11 0 +8405 1979 Graduation Divorced 68274 1 1 30-09-2013 83 135 25 51 23 25 46 2 4 2 5 3 0 0 0 0 0 0 3 11 0 +6515 1977 Graduation Together 39771 1 0 06-12-2013 92 6 2 18 2 8 14 1 2 0 3 4 0 0 0 0 0 0 3 11 0 +2882 1975 2n Cycle Divorced 67893 0 1 01-10-2012 31 711 28 142 49 18 47 2 3 2 9 8 0 0 0 0 0 0 3 11 0 +7574 1979 PhD Together 27922 1 0 10-05-2014 80 11 0 13 2 4 11 1 2 0 3 4 0 0 0 0 0 0 3 11 0 +6387 1976 PhD Together 52190 1 1 08-05-2014 39 42 0 17 0 0 18 3 2 1 3 5 1 0 0 0 0 0 3 11 0 +5320 1973 Master Divorced 44051 1 1 29-01-2013 20 79 7 58 6 3 18 4 3 1 4 6 0 0 0 0 0 0 3 11 1 +5048 1971 PhD Single 42767 2 0 11-05-2013 53 20 6 43 19 5 38 1 3 1 2 8 0 0 0 0 0 0 3 11 0 +8146 1976 Master Together 46106 1 1 11-05-2014 84 30 0 8 2 0 14 1 1 1 2 6 0 0 0 0 0 0 3 11 0 +10031 1976 PhD Married 16927 1 1 10-02-2013 50 20 2 23 3 1 4 5 3 0 4 8 0 0 0 0 0 0 3 11 0 +5748 1965 Graduation Married 59754 0 1 01-12-2012 96 115 27 44 4 146 139 3 5 2 6 5 0 0 0 0 0 0 3 11 1 +2134 1952 Graduation Single 53700 0 1 17-08-2012 94 263 5 233 69 41 83 4 5 5 8 5 0 0 0 0 0 0 3 11 0 +1523 1973 Graduation Married 59041 1 1 07-05-2014 25 69 2 15 2 2 6 2 2 0 4 5 0 0 0 0 0 0 3 11 0 +9665 1957 PhD Divorced 54237 0 1 27-04-2013 48 267 3 30 4 0 57 4 5 2 5 6 0 0 0 0 0 0 3 11 0 +4640 1967 Graduation Divorced 70647 0 1 21-09-2012 65 561 85 171 25 123 114 2 4 7 13 2 0 0 0 0 0 0 3 11 0 +3635 1962 PhD Single 52597 0 1 07-05-2014 69 492 0 37 7 0 42 3 6 3 8 5 0 0 0 0 0 0 3 11 0 +3547 1969 Master Together 41021 1 0 30-12-2012 12 14 7 9 6 16 12 2 2 0 3 6 0 0 0 0 0 0 3 11 1 +2456 1975 PhD Married 40233 0 1 14-10-2013 84 80 4 46 0 17 2 5 2 1 5 6 0 0 0 0 0 0 3 11 0 +5633 1980 Graduation Married 50183 1 1 25-06-2014 47 97 12 84 13 10 15 7 3 1 6 5 0 0 0 0 0 0 3 11 0 +7801 1959 Graduation Together 54753 0 1 12-09-2013 87 197 107 227 7 59 131 3 5 2 11 4 0 0 0 0 0 0 3 11 0 +10489 1973 Graduation Married 92955 0 0 19-08-2013 35 693 21 925 31 24 84 1 6 7 9 2 0 0 1 1 0 0 3 11 1 +7011 1973 Graduation Married 33471 1 0 12-10-2012 47 43 2 27 0 9 12 3 3 0 4 7 0 0 0 0 0 0 3 11 0 +2620 1974 PhD Married 34596 1 0 13-04-2013 48 14 0 2 0 0 7 1 1 0 2 8 0 0 0 0 0 0 3 11 1 +3933 1980 Graduation Together 44010 1 0 13-10-2012 46 186 36 234 86 72 48 6 10 2 6 9 0 0 0 0 0 0 3 11 0 +10981 1988 Graduation Married 84219 0 0 02-02-2014 27 434 137 400 45 137 45 1 3 4 10 1 0 0 0 0 0 0 3 11 0 +1734 1968 PhD Together 40706 2 1 17-01-2013 37 59 0 11 4 2 5 4 3 0 4 7 0 0 0 0 0 0 3 11 0 +10995 1988 2n Cycle Married 15716 1 0 12-11-2012 8 16 5 30 8 7 26 3 3 0 4 8 0 0 0 0 0 1 3 11 0 +6357 1959 2n Cycle Divorced 59052 0 1 17-11-2013 29 230 35 75 63 57 31 3 7 1 7 5 0 0 0 0 0 0 3 11 0 +9209 1971 Master Together 80573 0 0 14-10-2012 85 829 138 430 60 92 15 1 4 6 13 2 0 0 0 0 0 0 3 11 0 +10286 1962 Graduation Married 83715 0 0 03-02-2014 2 318 8 407 150 35 8 1 2 8 13 0 0 0 0 0 0 0 3 11 0 +2611 1959 Master Together 82576 0 0 01-08-2012 66 1206 55 445 168 18 18 1 2 4 12 1 0 0 1 0 0 0 3 11 0 +1600 1965 Master Married 56962 2 1 11-10-2013 60 292 3 77 10 3 26 7 6 3 5 7 0 0 0 0 0 0 3 11 0 +3308 1952 Graduation Married 35704 1 1 03-01-2014 54 30 9 12 2 11 30 3 2 0 4 4 0 0 0 0 0 0 3 11 0 +5407 1954 Graduation Together 53103 0 1 12-09-2013 70 729 17 133 11 0 195 5 10 6 7 7 1 0 0 0 0 0 3 11 0 +2166 1960 2n Cycle Widow 46779 1 1 12-07-2013 55 12 1 3 0 0 7 1 0 1 2 4 0 0 0 0 0 0 3 11 0 +3955 1965 Graduation Divorced 4861 0 0 22-06-2014 20 2 1 1 1 0 1 0 0 0 0 14 0 0 0 0 0 0 3 11 0 +6634 1979 Master Divorced 33462 1 0 07-08-2013 78 22 3 18 0 0 11 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +3056 1978 Graduation Divorced 63693 0 1 14-10-2013 63 587 43 337 42 87 54 3 11 6 9 6 0 0 0 0 0 0 3 11 0 +5718 1950 Graduation Married 80763 0 0 15-08-2013 17 674 168 108 192 42 231 1 5 11 6 3 0 0 1 1 0 0 3 11 1 +6872 1974 PhD Married 65352 0 1 21-08-2013 43 284 3 84 4 7 23 2 4 2 8 4 0 0 0 0 0 0 3 11 0 +8164 1978 PhD Married 82170 0 0 25-11-2013 13 1023 93 651 49 55 37 1 5 6 7 2 0 0 0 0 0 0 3 11 0 +4580 1969 Graduation Married 75759 0 0 25-10-2013 46 1394 22 708 89 91 182 1 9 7 9 5 1 0 1 1 0 0 3 11 1 +9305 1976 2n Cycle Single 79689 0 0 12-05-2013 65 311 26 640 180 37 121 1 4 9 13 2 0 0 0 0 0 0 3 11 0 +453 1956 PhD Widow 35340 1 1 29-06-2014 1 27 0 12 0 1 5 2 2 0 3 5 0 0 0 0 0 0 3 11 0 +8545 1954 Graduation Divorced 85683 0 0 21-03-2014 6 1296 17 311 45 69 51 1 2 4 10 1 0 1 1 1 1 0 3 11 1 +9850 1972 2n Cycle Married 24884 1 0 29-11-2012 32 3 6 7 0 0 3 1 0 0 3 7 0 0 0 0 0 0 3 11 0 +7378 1981 Master Together 42021 1 0 31-08-2012 34 393 5 136 7 5 27 5 10 1 6 9 1 0 0 0 0 0 3 11 0 +7646 1989 Graduation Single 64449 1 0 18-02-2014 70 218 63 282 137 35 70 4 5 3 12 4 0 0 0 0 0 0 3 11 0 +1640 1954 Graduation Divorced 64587 1 1 22-06-2014 49 66 0 16 0 6 20 2 1 1 4 3 0 0 0 0 0 0 3 11 0 +5184 1995 Graduation Single 34824 0 0 26-03-2014 65 4 2 11 2 0 4 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +8492 1978 Graduation Together 75437 0 0 09-11-2013 25 795 0 545 95 58 0 1 8 4 10 6 0 0 0 1 0 0 3 11 0 +11188 1957 Graduation Together 26091 1 1 25-02-2014 84 15 10 19 8 17 20 3 2 1 3 5 0 0 0 0 0 0 3 11 0 +1212 1973 Graduation Married 52845 1 0 13-08-2013 7 384 25 292 130 41 64 3 8 8 6 6 1 0 0 0 0 0 3 11 0 +9097 1956 Graduation Divorced 46086 0 1 03-11-2013 34 244 8 32 7 2 50 4 3 1 8 4 0 0 0 0 0 0 3 11 0 +10473 1956 PhD Widow 78028 0 1 10-09-2012 38 158 19 288 25 0 38 1 6 4 9 7 0 1 1 0 0 0 3 11 1 +7962 1987 PhD Single 95169 0 0 09-10-2013 1 1285 21 449 106 20 20 1 4 3 4 1 0 0 1 1 0 0 3 11 1 +9984 1981 2n Cycle Married 56337 1 1 27-03-2013 25 349 16 144 28 5 182 5 8 5 4 8 1 0 0 1 0 0 3 11 1 +5527 1987 Graduation Together 22434 1 0 13-02-2013 25 4 12 11 3 13 15 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +6374 1954 PhD Married 36930 0 1 17-05-2013 50 223 2 31 0 2 39 5 5 2 4 8 0 0 0 0 0 0 3 11 0 +7453 1954 Graduation Single 36130 0 1 02-02-2013 46 157 43 127 68 56 37 6 3 8 4 4 1 0 0 0 0 0 3 11 1 +8952 1953 Master Married 65569 0 1 05-11-2012 96 397 46 288 20 38 70 2 6 5 10 3 0 0 0 0 0 0 3 11 0 +241 1952 Graduation Together 83844 0 0 12-05-2013 57 901 31 345 75 31 191 1 4 4 11 1 0 0 1 0 0 0 3 11 0 +8975 1968 Graduation Married 19514 1 1 26-01-2014 47 14 3 21 2 1 28 4 3 1 2 8 1 0 0 0 0 0 3 11 0 +6119 1963 PhD Single 36736 1 1 10-05-2013 52 10 0 3 0 0 4 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +5236 1979 Graduation Together 77568 0 1 25-08-2012 30 1230 0 396 232 178 158 1 10 2 8 5 0 1 1 1 0 0 3 11 0 +5723 1976 PhD Together 49187 0 1 11-01-2014 63 81 1 31 2 1 0 1 1 1 5 2 0 0 0 0 0 0 3 11 0 +1710 1978 Graduation Single 30168 1 0 07-03-2013 51 154 20 66 0 12 27 7 6 1 4 9 0 0 0 0 0 0 3 11 0 +1970 1968 Master Together 34053 0 1 10-09-2012 14 63 0 21 7 0 12 1 3 0 3 8 0 0 0 0 0 0 3 11 0 +5313 1971 Master Married 38196 1 1 18-04-2014 20 30 0 11 0 0 3 3 2 0 4 5 0 0 0 0 0 0 3 11 0 +10634 1951 Master Married 59412 0 0 19-04-2014 56 90 67 165 30 43 11 1 4 2 8 3 0 0 0 0 0 0 3 11 0 +7010 1965 2n Cycle Married 70924 0 0 07-04-2014 41 635 114 254 132 152 76 1 6 6 7 3 0 0 1 0 0 0 3 11 0 +8562 1969 Graduation Together 54165 0 0 28-05-2013 72 127 4 73 15 6 11 1 2 1 7 2 0 0 0 0 0 0 3 11 0 +3158 1973 Graduation Married 32300 1 0 03-01-2013 1 13 3 6 6 5 6 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +4436 1976 Graduation Single 20180 0 0 20-02-2013 27 18 42 24 15 20 18 1 2 1 4 7 0 0 0 0 0 0 3 11 0 +5287 1973 Graduation Married 34961 1 0 19-06-2014 77 45 2 26 4 1 1 3 3 1 3 7 0 0 0 0 0 0 3 11 0 +2445 1974 PhD Together 28440 1 0 07-07-2013 87 38 1 24 0 0 0 1 2 0 3 8 0 0 0 0 0 0 3 11 0 +6059 1953 PhD Together 64504 1 2 04-03-2013 81 986 36 168 16 0 108 7 11 3 4 7 0 0 0 0 0 0 3 11 1 +4550 1966 Master Together 33564 0 1 24-06-2014 51 61 0 3 0 0 7 1 1 1 3 5 0 0 0 0 0 0 3 11 0 +4240 1978 Graduation Married 17345 1 0 03-11-2012 79 4 9 16 17 0 12 2 2 1 2 8 0 0 0 0 0 0 3 11 0 +8911 1967 PhD Married 56320 0 1 08-04-2013 11 201 53 172 116 77 83 3 5 4 9 4 0 0 0 0 0 0 3 11 0 +3706 1978 Graduation Single 28647 1 0 21-08-2013 54 19 8 29 0 12 26 1 2 2 2 7 1 0 0 0 0 0 3 11 1 +3628 1987 Basic Single 15038 1 0 29-01-2013 93 4 8 11 19 12 26 2 2 1 2 9 0 0 0 0 0 0 3 11 0 +10175 1958 PhD Divorced 32173 0 1 01-08-2013 0 18 0 2 0 0 2 1 1 0 3 4 0 0 0 0 0 0 3 11 0 +8985 1964 2n Cycle Together 68316 0 1 04-11-2012 54 806 80 161 120 11 33 5 10 7 10 6 0 0 0 0 0 0 3 11 0 +5204 1971 Graduation Together 74538 0 0 29-06-2013 21 380 98 733 110 112 28 1 8 8 5 3 0 0 1 0 0 0 3 11 1 +9220 1971 Graduation Single 91700 0 0 17-01-2013 58 576 172 961 125 115 19 1 8 6 5 3 0 0 0 0 0 0 3 11 1 +9888 1969 Graduation Together 68695 0 0 25-06-2014 3 458 81 356 106 50 40 1 4 4 7 2 0 0 0 0 0 0 3 11 0 +5263 1977 2n Cycle Married 31056 1 0 22-01-2013 99 5 10 13 3 8 16 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +1020 1973 Graduation Married 79593 0 0 12-05-2014 70 350 60 568 110 133 145 1 5 6 7 2 0 0 1 0 0 0 3 11 0 +9503 1980 Graduation Single 28071 0 0 29-08-2012 65 39 33 130 41 26 44 2 5 1 5 8 0 0 0 0 0 0 3 11 0 +10613 1958 PhD Together 37334 1 1 26-02-2014 44 26 1 16 2 2 15 4 3 0 4 4 0 0 0 0 0 0 3 11 0 +67 1972 Master Single 46423 1 1 18-09-2013 6 68 0 16 0 0 8 3 2 0 4 7 0 0 0 0 0 0 3 11 0 +6019 1971 PhD Married 37126 1 0 30-03-2014 9 45 3 9 4 4 7 1 1 2 2 6 1 0 0 0 0 0 3 11 1 +5863 1953 Graduation Married 47703 0 1 29-05-2013 95 359 0 134 13 26 123 4 6 3 8 5 0 0 0 0 0 0 3 11 0 +3717 1959 Graduation Married 61180 0 1 23-04-2014 70 403 24 29 6 24 218 2 5 5 6 3 1 0 0 0 0 0 3 11 0 +6730 1954 Graduation Married 38998 1 1 03-11-2012 92 34 1 14 0 0 5 3 2 0 3 8 0 0 0 0 0 1 3 11 0 +10749 1991 Graduation Single 8028 0 0 18-09-2012 62 73 18 66 7 12 2 15 0 1 0 19 0 0 0 0 0 0 3 11 0 +4998 1962 Graduation Together 76081 0 0 23-05-2014 85 292 30 415 63 33 200 1 4 5 4 2 0 0 0 1 0 0 3 11 0 +6287 1986 Graduation Together 34728 1 0 30-07-2013 2 14 0 16 0 0 6 1 1 1 2 6 0 0 0 0 0 0 3 11 1 +5985 1965 Master Single 33168 0 1 13-10-2012 0 80 1 37 0 1 3 3 2 1 4 7 0 0 0 0 0 0 3 11 0 +4754 1966 Master Married 33585 0 1 25-09-2013 91 30 11 33 13 6 29 1 2 0 4 4 0 0 0 0 0 0 3 11 0 +4002 1960 PhD Married 77037 0 1 13-10-2013 3 463 96 333 168 53 10 1 7 7 12 3 0 0 0 0 0 0 3 11 0 +8870 1984 Graduation Together 35196 1 0 13-11-2012 68 75 12 141 43 39 187 6 6 1 5 8 0 0 0 0 0 0 3 11 1 +966 1966 Graduation Married 44529 0 1 05-07-2013 98 538 13 91 17 6 26 6 6 2 11 5 0 1 0 0 0 0 3 11 0 +4767 1965 2n Cycle Married 70924 0 0 07-04-2014 41 635 114 254 132 152 76 1 6 6 7 3 0 0 1 0 0 0 3 11 0 +9725 1966 PhD Together 28764 1 1 05-06-2014 16 8 0 3 0 0 1 1 1 0 2 8 1 0 0 0 0 0 3 11 0 +4475 1949 PhD Married 69098 0 0 16-02-2013 82 1315 22 780 145 0 178 1 7 8 9 5 0 0 0 0 0 0 3 11 0 +5740 1970 2n Cycle Divorced 25959 1 1 14-02-2013 1 4 2 12 7 5 26 2 1 2 2 6 0 0 0 0 0 0 3 11 1 +5731 1983 Master Married 27100 1 0 05-04-2013 64 12 0 13 2 0 10 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +7290 1985 Graduation Single 70596 0 0 05-10-2012 68 347 44 534 17 0 26 1 3 5 12 2 0 0 0 0 0 0 3 11 0 +3846 1974 Graduation Married 42557 0 1 29-08-2012 98 192 5 53 0 5 15 4 6 1 4 8 0 0 0 0 0 0 3 11 0 +8104 1951 PhD Married 53312 0 0 09-08-2013 32 241 0 12 0 0 25 1 5 1 5 7 0 0 0 0 0 0 3 11 0 +4507 1952 Graduation Single 72228 0 0 27-11-2012 87 631 28 491 30 14 56 1 6 7 8 3 0 0 0 0 0 0 3 11 0 +11013 1987 Graduation Together 67605 0 0 31-03-2013 84 336 28 282 184 54 54 1 2 8 6 1 0 0 0 0 0 0 3 11 0 +4491 1949 Master Married 62845 1 1 01-10-2012 3 1099 0 45 0 0 34 11 3 4 10 8 0 1 0 0 0 0 3 11 0 +3759 1958 Graduation Together 65196 0 2 25-07-2013 34 743 19 181 12 0 200 2 7 6 11 5 1 0 0 0 0 0 3 11 0 +1162 1987 PhD Single 42000 0 0 10-01-2013 23 124 83 267 85 59 35 2 5 2 11 5 0 0 0 0 0 0 3 11 1 +2055 1973 PhD Divorced 35860 1 1 19-05-2014 37 15 0 8 4 2 20 2 1 1 2 5 1 0 0 0 0 0 3 11 0 +10766 1964 PhD Married 65526 0 1 11-04-2014 22 397 19 69 12 0 9 1 4 4 8 2 0 0 0 0 0 0 3 11 0 +4415 1961 Graduation Married 16860 1 1 12-09-2012 19 10 4 4 3 3 14 3 1 1 3 7 0 0 0 0 0 0 3 11 0 +3005 1992 Graduation Single 83528 0 0 01-05-2014 7 530 117 678 134 44 147 1 4 10 8 1 1 0 0 1 0 0 3 11 1 +2223 1965 2n Cycle Divorced 64176 0 1 03-08-2012 52 1215 33 249 64 116 149 8 8 9 8 6 0 0 0 0 0 0 3 11 0 +4817 1956 Graduation Divorced 22304 0 0 04-08-2012 91 3 2 7 0 4 2 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +2875 1978 Graduation Married 67023 0 0 04-03-2014 93 444 44 382 11 8 17 1 3 7 13 2 0 0 0 0 0 1 3 11 0 +10536 1971 PhD Together 32892 1 0 25-05-2014 78 26 0 15 2 1 2 2 3 0 3 8 0 0 0 0 0 0 3 11 0 +11112 1966 Graduation Together 70713 0 1 03-12-2012 23 736 114 279 82 76 190 6 5 6 8 3 0 0 0 0 0 0 3 11 0 +3807 1955 Graduation Together 59925 0 1 30-11-2012 83 473 21 176 19 21 56 3 9 2 9 6 0 0 0 0 0 0 3 11 0 +9197 1953 Graduation Married 39722 0 1 24-02-2014 92 32 0 5 2 0 8 2 2 0 3 5 0 0 0 0 0 0 3 11 0 +10832 1958 Graduation Together 46610 0 0 18-07-2013 4 288 10 30 4 10 125 1 6 1 6 6 0 0 0 0 0 0 3 11 0 +6421 1961 Graduation Together 88347 0 0 03-07-2013 32 1050 178 555 77 138 118 1 4 7 9 1 0 0 0 1 0 0 3 11 0 +4207 1981 PhD Married 87171 0 0 01-05-2013 27 1001 44 107 58 44 44 1 6 7 11 2 1 0 1 0 0 0 3 11 0 +577 1976 2n Cycle Together 26907 1 1 20-08-2013 10 9 1 7 0 3 2 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +10855 1968 Master Single 50014 1 0 22-01-2014 9 234 14 77 19 10 42 2 4 1 8 5 0 0 0 0 0 0 3 11 0 +3081 1978 PhD Married 41014 1 0 22-04-2013 65 7 2 6 2 0 3 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +3535 1965 Graduation Single 66294 0 0 17-03-2014 68 251 108 334 65 92 117 1 4 3 5 2 0 0 0 0 0 0 3 11 0 +247 1971 Graduation Married 36715 1 0 17-11-2012 16 172 10 125 21 13 16 6 7 2 4 9 0 0 0 0 0 0 3 11 1 +8707 1956 Graduation Married 79456 0 0 22-08-2012 12 565 42 548 64 83 99 1 5 6 4 3 0 0 0 0 0 0 3 11 1 +9523 1982 Graduation Together 40479 1 0 17-08-2013 95 5 0 8 2 0 0 1 0 0 3 4 0 0 0 0 0 0 3 11 0 +6072 1970 Master Single 75345 0 0 02-02-2013 16 918 57 842 99 38 133 1 5 8 6 3 0 0 0 1 0 0 3 11 1 +6295 1977 Graduation Married 54233 0 1 04-02-2013 46 652 8 158 21 0 142 4 11 6 5 8 0 0 0 0 0 0 3 11 0 +10914 1970 Graduation Single 24163 1 1 12-10-2013 3 4 1 7 2 1 2 2 1 0 3 4 0 0 0 0 0 0 3 11 0 +1509 1958 PhD Together 84460 0 0 04-01-2013 80 152 27 103 106 54 81 0 9 9 4 5 0 1 1 1 1 0 3 11 1 +5577 1983 Graduation Together 43776 1 0 03-05-2014 77 8 0 9 2 1 3 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +7348 1958 PhD Single 71691 0 0 17-03-2014 0 336 130 411 240 32 43 1 4 7 5 2 0 0 0 0 0 0 3 11 1 +1127 1973 PhD Married 85844 0 0 29-05-2014 62 938 19 843 25 95 38 1 6 6 7 2 0 0 1 0 0 0 3 11 0 +1833 1974 PhD Single 39190 1 0 26-04-2014 91 68 8 18 19 8 12 2 2 1 4 5 0 0 0 0 0 0 3 11 0 +4944 1959 Graduation Together 71367 0 0 23-08-2013 24 227 23 389 42 21 75 1 4 5 7 2 0 0 0 0 0 0 3 11 0 +9080 1972 PhD Single 38578 1 1 22-06-2013 2 38 4 22 3 3 3 3 3 0 3 8 0 0 0 0 0 0 3 11 0 +6466 1965 PhD Married 57236 1 1 12-03-2014 22 105 0 9 2 1 4 3 2 1 4 3 0 0 0 0 0 0 3 11 0 +9964 1979 Graduation Single 61825 0 1 07-08-2013 56 162 50 100 55 30 27 1 4 2 8 4 0 0 0 0 0 0 3 11 0 +4790 1958 Graduation Divorced 79803 0 1 02-06-2014 54 574 8 216 21 16 33 1 4 3 5 1 0 0 0 0 0 0 3 11 0 +10245 1986 2n Cycle Single 80910 0 0 31-10-2012 71 160 80 369 67 39 41 1 3 3 8 1 0 0 0 0 0 0 3 11 0 +1109 1982 Master Together 27590 1 0 23-04-2013 38 6 0 5 0 0 1 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +6001 1979 Graduation Married 56775 0 1 02-01-2013 62 614 35 160 58 35 35 2 5 8 10 5 0 0 0 0 0 0 3 11 0 +5538 1975 Graduation Divorced 83829 0 0 08-10-2013 78 897 161 430 186 161 27 0 4 7 6 1 1 0 1 1 0 0 3 11 1 +10552 1979 2n Cycle Married 54210 0 1 20-05-2013 18 70 54 109 80 9 45 2 4 1 7 5 0 0 0 0 0 0 3 11 0 +1545 1986 Graduation Married 38508 1 0 02-08-2013 95 120 19 206 25 19 54 6 7 2 5 8 0 0 0 0 0 0 3 11 0 +7409 1970 Graduation Together 53187 1 0 26-10-2013 66 211 2 30 7 7 10 2 4 1 6 5 0 0 0 0 0 0 3 11 0 +4444 1972 Graduation Married 30023 1 0 24-03-2014 28 11 0 16 7 6 21 1 2 0 3 8 0 0 0 0 0 0 3 11 0 +146 1960 PhD Single 76045 0 0 15-11-2013 78 760 53 400 17 93 0 1 4 5 11 2 0 0 0 1 0 0 3 11 0 +6271 1952 PhD Married 50870 0 1 19-06-2014 13 53 0 8 0 0 2 1 2 0 3 5 0 0 0 0 0 0 3 11 0 +10065 1970 2n Cycle Married 15315 0 0 03-08-2013 27 7 4 13 15 8 17 2 2 0 4 5 0 0 0 0 0 0 3 11 0 +4741 1974 2n Cycle Married 65463 1 0 30-01-2014 17 391 32 70 21 32 16 2 6 2 9 5 0 1 0 0 0 0 3 11 0 +246 1965 Graduation Married 66480 1 1 31-05-2014 71 199 9 57 20 21 6 7 4 1 7 4 0 0 0 0 0 0 3 11 0 +375 1954 Graduation Divorced 76773 0 0 25-02-2013 79 516 56 449 86 33 16 1 2 2 11 1 0 0 0 0 0 0 3 11 0 +1524 1983 2n Cycle Single 81698 0 0 01-03-2013 1 709 45 115 30 160 45 1 8 2 5 5 0 0 0 1 0 0 3 11 1 +10022 1973 PhD Single 54466 1 1 09-02-2014 78 12 0 4 0 0 0 1 1 0 2 5 0 0 0 0 0 0 3 11 0 +7451 1960 Master Single 98777 0 0 17-02-2014 23 1000 19 711 125 115 38 0 4 6 9 1 0 1 0 0 0 0 3 11 0 +11010 1984 PhD Single 16269 1 0 30-08-2013 75 19 3 18 3 1 0 3 3 0 3 8 0 0 0 0 0 0 3 11 0 +4356 1971 Graduation Together 71819 0 1 28-08-2013 70 1224 28 140 0 14 168 3 3 3 5 6 0 1 1 0 0 0 3 11 0 +3885 1983 PhD Married 33569 1 0 16-10-2013 10 16 2 18 3 0 24 1 1 1 2 8 1 0 0 0 0 0 3 11 1 +1175 1983 Master Married 36262 0 0 20-09-2013 24 88 39 54 64 28 153 1 3 5 3 6 1 0 0 0 0 0 3 11 1 +880 1966 Basic Together 22634 0 0 16-01-2013 47 2 23 11 8 6 46 1 2 1 2 8 0 0 0 0 0 0 3 11 0 +2320 1978 2n Cycle Married 47025 0 1 12-09-2013 98 508 11 59 23 5 29 5 11 1 6 9 0 0 0 0 0 0 3 11 0 +850 1968 Graduation Single 70566 0 1 06-10-2013 4 381 28 215 84 28 21 2 6 5 9 3 0 0 0 0 0 0 3 11 0 +4713 1979 PhD Married 31605 1 0 22-11-2012 15 74 0 42 2 1 6 2 2 1 4 7 0 0 0 0 0 0 3 11 0 +675 1973 Master Divorced 52034 1 1 17-05-2013 67 146 0 93 7 13 73 5 4 2 5 7 0 0 0 0 0 0 3 11 0 +5025 1979 Graduation Single 48526 1 0 24-12-2013 32 23 17 23 43 20 9 1 2 1 4 3 0 0 0 0 0 0 3 11 0 +2308 1954 Graduation Married 46734 0 1 18-11-2012 40 110 5 137 26 23 29 2 6 1 5 7 0 0 0 0 0 0 3 11 0 +5995 1962 Graduation Divorced 39552 1 1 18-12-2012 54 165 3 147 4 24 41 7 6 2 5 8 0 0 0 0 0 0 3 11 1 +6749 1966 Graduation Single 86358 1 1 08-08-2012 78 957 47 494 82 47 95 4 5 3 6 8 0 0 0 0 0 0 3 11 0 +1010 1977 Graduation Together 46931 2 1 24-04-2014 94 41 0 17 3 1 16 2 1 1 3 3 0 0 0 0 0 0 3 11 0 +8977 1985 Basic Single 16581 0 0 12-01-2013 51 1 3 4 2 3 11 1 0 0 3 4 0 0 0 0 0 0 3 11 0 +4756 1952 2n Cycle Divorced 63998 0 0 20-12-2013 42 176 29 818 0 33 112 1 7 6 11 4 0 0 0 0 0 0 3 11 1 +3412 1951 Master Married 67381 0 1 15-01-2013 67 815 8 53 11 0 70 4 2 2 9 7 0 1 0 0 0 0 3 11 0 +606 1967 Graduation Single 25930 1 1 10-10-2013 87 6 1 2 2 0 4 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +5961 1978 Graduation Married 42693 1 0 07-06-2014 29 8 4 20 6 3 16 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +2975 1976 Graduation Together 85606 0 1 12-11-2012 89 717 42 864 219 30 84 2 6 7 9 3 0 0 0 1 0 0 3 11 0 +2894 1985 Graduation Single 72903 0 0 29-10-2013 74 1067 138 750 0 19 39 1 7 5 8 4 0 1 1 1 0 0 3 11 1 +7613 1974 2n Cycle Together 49669 1 0 24-05-2014 97 166 5 107 11 8 29 2 5 1 6 6 0 0 0 0 0 0 3 11 0 +10542 1968 PhD Married 36778 1 1 05-08-2012 63 29 4 34 2 4 4 3 3 0 3 9 0 0 0 0 0 0 3 11 0 +8015 1962 PhD Divorced 85696 0 0 03-05-2013 88 714 76 395 116 0 12 1 4 6 9 1 0 0 0 0 0 0 3 11 1 +10617 1989 Master Divorced 10979 0 0 22-05-2014 34 8 4 10 2 2 4 2 3 0 3 5 0 0 0 0 0 0 3 11 0 +11166 1961 Graduation Married 49678 0 1 02-02-2013 81 229 5 56 3 2 20 2 6 2 4 7 0 0 0 0 0 0 3 11 0 +849 1953 Master Together 56129 0 1 20-06-2013 65 320 48 133 39 72 48 4 6 2 10 4 0 0 0 0 0 0 3 11 0 +523 1989 Graduation Married 37155 1 0 31-01-2013 51 23 0 26 7 15 3 1 2 0 4 5 0 0 0 0 0 0 3 11 0 +4066 1978 2n Cycle Divorced 21282 1 0 11-05-2014 76 1 5 8 4 8 20 2 2 1 2 6 0 0 0 0 0 0 3 11 0 +8414 1962 PhD Single 33419 0 1 17-08-2013 76 56 0 12 0 0 18 2 2 0 4 7 0 0 0 0 0 0 3 11 0 +819 1945 Graduation Widow 63285 0 0 05-11-2013 84 508 124 249 50 38 134 1 6 5 13 3 0 0 0 0 0 0 3 11 0 +4961 1974 Master Together 21255 1 0 21-01-2014 56 29 0 25 2 2 3 4 2 1 4 4 0 0 0 0 0 0 3 11 0 +749 1981 Graduation Together 42162 1 0 19-11-2013 31 46 7 59 2 4 27 2 3 1 3 6 1 0 0 0 0 0 3 11 1 +5430 1956 Graduation Together 54450 1 1 14-09-2012 0 454 0 171 8 19 32 12 9 2 8 8 0 0 0 0 0 0 3 11 0 +7755 1954 PhD Married 57744 0 1 12-11-2013 91 350 3 39 0 0 19 2 9 1 4 8 0 0 0 0 0 0 3 11 0 +10525 1986 Graduation Single 26576 1 0 13-10-2012 40 10 0 8 0 0 9 1 1 0 2 9 1 0 0 0 0 0 3 11 1 +1453 1943 PhD Widow 57513 0 0 06-07-2013 59 735 40 183 52 20 30 2 9 3 13 6 0 0 0 0 0 0 3 11 0 +8310 1964 Graduation Together 68142 0 1 29-08-2012 96 897 126 196 91 112 37 3 10 4 7 6 0 0 0 0 0 0 3 11 0 +10710 1979 Graduation Married 7500 0 1 29-08-2012 61 5 2 3 3 0 5 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +5031 1974 Graduation Together 83145 0 0 22-09-2012 14 777 35 731 39 137 114 1 5 9 11 2 0 0 1 0 0 0 3 11 1 +2613 1960 Master Married 54197 0 1 03-04-2014 16 162 6 37 6 13 13 2 1 3 6 1 0 0 0 0 0 0 3 11 0 +213 1963 PhD Single 23091 1 1 28-05-2014 98 35 0 11 0 0 2 4 2 1 3 7 0 0 0 0 0 0 3 11 0 +967 1976 Graduation Married 46049 1 1 21-07-2013 11 342 9 112 19 14 19 10 5 2 9 7 0 0 0 0 0 0 3 11 1 +1077 1974 Graduation Together 56715 0 0 05-12-2012 52 258 105 239 237 172 9 1 7 3 4 4 0 0 0 0 0 0 3 11 0 +7959 1961 Graduation Married 79410 0 0 29-05-2014 19 658 80 483 123 13 13 1 3 2 5 1 0 0 0 0 0 0 3 11 0 +640 1951 Graduation Married 57304 0 1 11-03-2013 61 356 80 329 138 17 106 2 7 6 10 5 0 0 0 0 0 0 3 11 0 +4252 1965 Graduation Married 44375 0 1 23-03-2014 73 213 5 28 7 7 41 1 4 1 6 5 0 0 0 0 0 0 3 11 0 +8432 1956 Graduation Together 54450 1 1 14-09-2012 0 454 0 171 8 19 32 12 9 2 8 8 0 0 0 0 0 0 3 11 0 +6218 1965 Graduation Married 59594 0 1 20-10-2012 74 457 4 29 0 0 9 1 8 1 7 7 0 1 0 0 0 0 3 11 0 +6905 1994 Graduation Together 80685 0 0 22-08-2012 55 241 45 604 34 26 54 1 6 4 10 2 0 0 0 0 0 0 3 11 0 +5922 1974 PhD Married 40344 0 1 13-10-2013 48 210 0 6 0 0 2 2 4 1 5 7 0 0 0 0 0 0 3 11 0 +3598 1972 Graduation Married 62710 0 1 23-05-2013 53 441 35 83 7 29 11 4 4 2 12 4 0 0 0 0 0 0 3 11 0 +6116 1968 2n Cycle Married 48985 0 1 05-07-2013 13 19 13 18 10 7 8 1 1 1 3 3 0 0 0 0 0 0 3 11 0 +6263 1968 Graduation Together 35322 1 2 22-08-2012 34 28 9 37 12 7 13 3 2 0 4 8 0 0 0 0 0 0 3 11 0 +10486 1948 Graduation Married 77142 0 0 29-05-2013 54 476 75 162 29 151 97 1 4 4 8 2 0 0 0 0 0 0 3 11 0 +2410 1969 Graduation Single 81657 0 0 22-01-2014 69 364 40 425 158 60 50 1 3 4 8 1 0 0 0 0 0 0 3 11 0 +193 1996 Basic Married 14421 0 0 17-02-2014 81 0 0 2 3 3 8 1 1 0 2 5 1 0 0 0 0 0 3 11 0 +3363 1974 2n Cycle Married 20130 0 0 17-03-2014 99 0 6 3 7 6 12 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +8278 1990 PhD Married 74214 0 0 26-08-2012 3 863 83 547 86 99 33 1 8 2 5 5 0 0 0 0 0 0 3 11 0 +10660 1957 Master Married 66726 1 1 12-01-2014 61 349 7 35 0 0 47 3 8 2 4 7 0 1 0 0 0 0 3 11 0 +8686 1979 Basic Together 23724 1 0 08-01-2013 65 5 23 15 0 18 14 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +1604 1960 Master Married 47353 0 1 13-11-2013 93 184 2 19 8 8 4 3 2 2 6 5 0 0 0 0 0 0 3 11 0 +5907 1952 Master Married 33444 1 1 03-11-2012 24 8 0 8 0 0 2 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +10669 1981 Graduation Married 54386 0 1 17-05-2013 8 277 21 64 62 21 25 2 3 2 10 3 0 0 0 0 0 0 3 11 0 +2918 1981 Graduation Divorced 28510 1 1 13-04-2013 72 44 5 19 0 4 19 3 2 0 4 5 0 0 0 0 0 0 3 11 0 +5735 1991 Master Single 90638 0 0 13-02-2014 29 1156 120 915 94 144 96 1 3 4 10 1 0 0 1 0 0 0 3 11 0 +359 1950 Graduation Together 48070 0 1 13-01-2013 33 373 14 83 6 9 19 3 8 2 6 7 0 0 0 0 0 1 3 11 0 +8387 1957 Graduation Married 43140 0 1 05-01-2013 68 134 8 76 6 0 11 1 4 1 5 6 0 0 0 0 0 0 3 11 0 +1829 1961 PhD Divorced 54959 0 1 19-01-2013 55 1148 0 60 0 0 24 3 9 5 4 7 0 1 0 0 0 0 3 11 1 +3839 1958 Basic Single 15056 1 1 03-05-2013 76 6 12 3 21 6 40 5 2 2 3 5 0 0 0 0 0 0 3 11 0 +9392 1971 Graduation Single 26954 1 0 08-05-2014 17 4 1 11 0 0 1 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +2292 1985 Graduation Single 22327 1 0 02-08-2013 94 5 4 8 2 0 5 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +10466 1965 Graduation Married 44393 1 1 22-08-2013 86 24 2 20 2 2 10 2 1 0 4 4 0 0 0 0 0 0 3 11 0 +9855 1952 PhD Single 62000 0 1 25-08-2013 25 899 0 101 0 0 20 1 6 6 13 4 0 0 0 1 0 0 3 11 0 +4088 1962 PhD Together 31497 0 1 06-12-2012 22 108 1 28 13 1 4 2 3 1 4 8 0 0 0 0 0 0 3 11 0 +5231 1974 2n Cycle Married 45894 0 2 27-02-2014 15 27 2 7 0 2 13 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +590 1970 Master Divorced 78579 0 0 22-12-2012 35 816 66 549 216 66 99 1 5 6 4 3 0 0 0 0 0 0 3 11 1 +8732 1969 Master Widow 67369 0 1 17-11-2012 81 1298 0 70 37 14 42 4 7 4 10 4 0 1 1 0 0 0 3 11 1 +2315 1960 Graduation Divorced 58401 0 1 20-04-2014 55 10 0 11 17 29 29 1 1 2 2 4 0 0 0 0 0 0 3 11 0 +3515 1952 Graduation Single 62307 0 1 17-02-2014 94 87 13 34 10 6 10 1 4 0 4 5 0 0 0 0 0 0 3 11 0 +2245 1969 Master Married 43641 1 1 22-04-2013 50 57 2 51 4 2 23 3 2 1 4 6 0 0 0 0 0 0 3 11 0 +6283 1968 Master Divorced 63841 0 1 21-04-2013 64 635 15 100 20 7 131 1 9 3 9 6 0 0 0 0 0 0 3 11 0 +2246 1965 2n Cycle Married 46891 0 1 01-09-2013 91 43 12 23 29 15 61 1 2 1 4 4 0 0 0 0 0 0 3 11 0 +6606 1969 Master Married 70091 1 0 31-03-2013 11 964 34 137 15 0 11 2 5 2 10 8 0 1 0 0 0 0 3 11 0 +5545 1972 PhD Married 78075 0 0 05-04-2014 72 572 8 259 34 35 80 1 3 5 5 1 0 0 0 0 0 0 3 11 0 +7342 1961 2n Cycle Widow 59184 0 1 09-09-2012 6 341 142 113 259 151 66 3 6 6 12 5 0 0 0 0 0 0 3 11 0 +837 1977 Graduation Married 54809 1 1 11-09-2013 0 63 6 57 13 13 22 4 2 1 5 4 0 0 0 0 0 0 3 11 0 +9500 1959 Graduation Married 58113 0 1 25-01-2013 66 221 104 169 102 78 84 3 9 2 8 7 0 0 0 0 0 1 3 11 0 +3602 1958 Master Married 51412 0 1 31-12-2013 42 140 3 29 4 5 14 2 3 2 4 4 0 0 0 0 0 0 3 11 0 +234 1979 Graduation Divorced 15287 1 0 10-10-2012 60 1 2 8 4 3 13 2 1 1 2 7 1 0 0 0 0 0 3 11 1 +2995 1957 Master Together 66636 0 0 17-08-2013 64 291 10 689 84 10 0 1 3 4 9 1 0 0 0 0 0 0 3 11 0 +1118 1956 Master Married 50965 0 1 20-02-2013 87 544 13 85 8 6 29 3 10 4 5 8 1 0 0 0 0 0 3 11 0 +7789 1965 PhD Married 84618 0 0 22-11-2013 96 684 100 801 21 66 0 1 6 9 10 2 0 0 1 0 0 0 3 11 0 +3068 1990 Graduation Married 18351 0 0 29-10-2013 1 1 12 9 0 14 7 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +8955 1957 PhD Together 40451 0 2 16-02-2014 54 35 0 4 0 0 10 1 1 1 2 5 1 0 0 0 0 0 3 11 0 +945 1965 Graduation Together 36317 0 1 22-05-2013 53 87 3 25 3 2 13 2 3 0 4 7 0 0 0 0 0 0 3 11 0 +5644 1957 Graduation Together 42213 0 1 12-10-2013 96 309 3 24 4 3 20 2 5 1 7 7 0 1 0 0 0 0 3 11 0 +7192 1955 Graduation Together 65748 0 1 15-04-2013 58 172 73 93 95 78 34 2 2 4 10 1 0 0 0 0 0 1 3 11 0 +2324 1972 Graduation Together 77044 0 1 27-10-2013 12 625 38 242 50 34 76 2 7 11 11 4 1 0 0 0 0 0 3 11 0 +697 1969 Graduation Together 74918 0 0 12-03-2013 78 972 59 913 25 19 59 1 5 9 6 3 0 0 1 0 0 0 3 11 0 +3439 1972 Graduation Married 56721 1 1 31-10-2012 64 157 6 39 6 13 75 5 4 1 5 6 0 0 0 0 0 0 3 11 0 +1506 1975 Graduation Single 42160 1 1 28-06-2013 26 48 9 45 3 15 20 4 2 1 4 6 0 0 0 0 0 0 3 11 1 +232 1965 Graduation Single 61559 0 1 17-07-2013 8 279 83 88 32 14 34 1 4 2 10 3 0 0 0 0 0 0 3 11 0 +8876 1963 PhD Together 33629 1 1 08-08-2012 49 132 0 16 0 0 4 5 3 1 4 9 0 0 0 0 0 0 3 11 0 +4500 1991 PhD Together 68682 0 0 06-10-2013 56 919 0 505 99 30 45 1 4 9 10 2 0 0 0 0 0 0 3 11 0 +9739 1963 Graduation Single 34377 0 1 19-01-2013 55 62 0 22 3 1 26 2 2 2 2 7 0 0 0 0 0 0 3 11 0 +10395 1986 Basic Single 8940 1 0 22-08-2012 25 1 45 3 4 6 42 3 3 1 3 8 0 0 0 0 0 0 3 11 0 +1176 1973 Graduation Married 26228 1 0 22-09-2013 50 2 6 4 3 1 9 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +1627 1957 2n Cycle Divorced 77297 0 0 26-01-2013 84 408 61 109 48 122 41 1 5 7 9 4 0 0 0 1 0 0 3 11 0 +938 1981 Graduation Married 40211 1 1 30-07-2013 30 51 1 7 2 1 25 2 2 1 2 8 1 0 0 0 0 0 3 11 0 +2740 1958 PhD Widow 33438 1 1 22-09-2013 81 62 1 16 3 2 6 4 2 1 4 5 0 0 0 0 0 0 3 11 0 +257 1959 PhD Married 75032 0 1 28-04-2013 74 952 12 180 47 12 12 2 5 4 9 3 0 0 0 0 0 0 3 11 0 +4058 1955 PhD Single 61284 0 0 12-10-2013 76 618 15 106 20 7 45 1 11 2 8 6 0 1 0 0 0 0 3 11 0 +7736 1986 Graduation Married 22518 1 0 22-10-2012 36 11 7 12 2 2 27 2 2 1 2 5 1 0 0 0 0 0 3 11 1 +8210 1975 Master Married 54730 0 1 15-08-2013 64 318 3 17 4 7 56 5 4 1 8 4 0 0 0 0 0 0 3 11 0 +833 1955 Master Married 38452 1 1 30-03-2014 62 56 0 14 0 0 2 3 3 0 3 7 0 0 0 0 0 0 3 11 0 +6230 1971 Graduation Divorced 44421 1 1 15-02-2013 53 110 5 59 7 1 7 5 5 0 4 8 0 0 0 0 0 0 3 11 0 +7325 1986 PhD Together 38197 1 0 29-06-2013 86 23 0 11 2 1 3 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +1307 1978 Graduation Divorced 41986 0 1 09-02-2014 15 27 5 8 8 3 12 3 3 0 4 4 0 0 0 0 0 0 3 11 0 +1502 1983 Graduation Together 28427 1 0 21-03-2013 67 18 3 19 3 3 6 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +6211 1976 PhD Together 37395 1 0 02-05-2014 47 18 0 9 0 1 11 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +843 1971 Graduation Married 64722 1 0 26-05-2014 47 303 0 280 60 147 15 4 8 2 11 6 0 0 0 0 0 0 3 11 0 +4174 1956 Master Together 55249 0 1 17-04-2014 81 97 1 19 2 0 11 1 2 1 4 3 0 0 0 0 0 0 3 11 0 +9757 1972 Graduation Together 84906 0 0 04-10-2013 98 997 15 414 99 30 76 1 5 6 12 2 0 1 1 0 1 0 3 11 0 +6918 1989 Graduation Married 28691 1 0 04-07-2013 56 5 4 13 8 0 4 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +286 1952 Graduation Single 44213 1 1 29-11-2013 48 95 11 35 0 4 7 4 2 1 5 6 0 0 0 0 0 0 3 11 0 +11086 1984 Basic Single 25707 1 0 18-01-2014 18 1 6 2 3 6 3 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +1921 1967 PhD Married 59062 2 1 03-10-2013 74 46 1 12 3 0 9 2 2 0 3 4 0 0 0 0 0 0 3 11 0 +4138 1962 Graduation Single 76624 0 1 24-05-2014 68 411 106 147 54 115 66 1 5 10 7 1 1 0 0 0 0 0 3 11 0 +7718 1947 Master Together 66000 0 0 20-04-2014 36 244 51 270 101 0 45 1 1 3 5 1 0 0 0 0 0 0 3 11 0 +1291 1978 PhD Together 27683 1 0 04-08-2012 90 152 9 121 12 12 45 4 6 2 4 8 0 0 0 0 0 0 3 11 0 +6862 1971 Graduation Divorced 1730 0 0 18-05-2014 65 1 1 3 1 1 1 15 0 0 0 20 0 0 0 0 0 0 3 11 0 +4136 1992 Basic Single 7500 1 0 03-12-2012 63 10 17 18 8 26 40 4 3 2 2 9 0 0 0 0 0 0 3 11 0 +803 1968 Graduation Together 40521 1 1 05-04-2013 82 12 0 5 0 0 4 1 0 1 2 5 0 0 0 0 0 0 3 11 0 +4298 1973 PhD Together 20427 1 0 24-03-2014 63 5 0 4 0 0 1 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +10833 1975 Graduation Married 65106 0 1 24-05-2014 55 790 19 133 12 0 19 3 8 3 13 6 0 1 0 0 0 0 3 11 0 +9606 1965 PhD Married 69969 0 0 27-08-2013 64 882 29 514 38 29 44 1 4 2 6 3 0 0 1 1 0 0 3 11 1 +8534 1952 Graduation Married 67433 0 2 16-07-2013 51 615 28 259 12 48 30 4 6 5 13 4 0 1 0 0 0 0 3 11 0 +5153 1967 PhD Married 77766 0 1 22-02-2013 97 1004 59 265 115 59 27 2 11 10 11 6 1 0 0 0 0 0 3 11 1 +961 1972 Graduation Married 74716 0 1 12-09-2013 92 133 27 421 13 195 71 2 7 3 5 4 0 0 0 0 0 0 3 11 0 +5011 1963 Graduation Divorced 68118 0 1 18-10-2013 51 595 23 123 10 23 154 2 8 9 4 6 0 0 0 0 0 0 3 11 0 +6653 1970 PhD Married 55158 1 1 30-07-2012 72 293 0 87 4 11 23 4 7 2 5 7 0 0 0 0 0 0 3 11 1 +9094 1955 2n Cycle Married 62972 0 1 03-08-2012 39 313 15 47 20 0 192 2 7 4 3 6 0 0 0 0 0 0 3 11 1 +810 1975 Graduation Married 74190 0 1 12-05-2014 49 151 81 86 168 91 64 2 4 2 11 2 0 0 0 0 0 0 3 11 0 +5493 1976 Graduation Married 39356 1 1 19-03-2014 21 15 0 2 0 0 6 1 1 0 2 6 1 0 0 0 0 0 3 11 0 +2147 1969 Graduation Together 76653 0 0 16-08-2013 91 736 63 946 219 189 126 1 4 7 11 2 0 0 1 1 0 0 3 11 0 +5107 1973 PhD Divorced 35860 1 1 19-05-2014 37 15 0 8 4 2 20 2 1 1 2 5 1 0 0 0 0 0 3 11 0 +3979 1983 PhD Divorced 90687 0 0 22-05-2013 98 982 17 672 23 34 51 1 6 2 8 2 0 0 1 0 0 0 3 11 1 +6049 1982 Master Together 73450 0 0 05-12-2013 85 1142 51 415 90 69 37 1 7 8 11 3 1 0 0 1 0 0 3 11 0 +8147 1960 Graduation Married 31454 1 1 06-07-2013 40 28 0 11 0 0 9 3 2 0 3 8 0 0 0 0 0 0 3 11 0 +1857 1952 Graduation Single 47139 1 1 06-03-2014 2 46 0 12 0 2 23 2 2 1 2 7 0 0 0 0 0 0 3 11 1 +3910 1975 Graduation Divorced 83829 0 0 08-10-2013 78 897 161 430 186 161 27 0 4 7 6 1 1 0 1 1 0 0 3 11 1 +5207 1963 PhD Married 53378 1 1 24-09-2012 41 489 6 152 8 6 132 10 9 4 6 8 0 0 0 0 0 0 3 11 1 +11114 1970 Graduation Together 19656 1 0 08-02-2013 94 25 4 9 6 8 32 3 2 1 3 7 0 0 0 0 0 0 3 11 0 +5429 1948 PhD Married 45579 0 1 20-08-2013 10 145 1 33 2 1 1 1 4 1 4 6 0 0 0 0 0 0 3 11 0 +9400 1958 2n Cycle Single 85485 0 0 21-06-2014 73 630 26 611 44 18 54 1 6 6 6 2 0 0 0 0 0 0 3 11 0 +1740 1944 Graduation Married 55956 0 0 07-04-2014 22 760 38 104 50 9 38 2 7 3 4 4 0 1 0 0 0 0 3 11 0 +7488 1963 Master Single 64191 0 1 22-01-2013 30 420 15 186 151 38 15 3 5 3 13 3 0 0 0 0 0 0 3 11 0 +195 1972 Graduation Single 38808 1 0 26-08-2012 21 125 17 52 3 19 30 4 5 1 4 8 1 0 0 0 0 0 3 11 1 +635 1966 Master Married 57183 1 1 19-03-2013 51 464 5 64 7 0 70 8 9 1 7 8 0 0 0 0 0 0 3 11 0 +7527 1968 Master Divorced 23748 1 0 21-11-2012 97 6 6 29 12 15 8 3 2 1 3 8 0 0 0 0 0 0 3 11 0 +10319 1971 Graduation Married 66303 0 1 26-02-2013 56 1090 12 96 16 12 60 4 3 4 11 8 0 1 0 0 0 0 3 11 0 +2296 1975 Master Married 37368 1 0 16-12-2013 4 3 2 11 2 2 10 1 1 0 2 6 1 0 0 0 0 0 3 11 0 +10637 1964 Graduation Married 40800 1 2 01-01-2013 77 24 0 27 8 30 10 2 3 0 3 7 0 0 0 0 0 1 3 11 0 +2931 1978 Graduation Divorced 71847 0 0 21-09-2012 95 737 21 106 55 63 210 0 6 7 9 3 0 0 0 1 0 0 3 11 0 +907 1975 Graduation Married 46149 0 1 29-11-2013 36 254 6 71 4 0 27 5 5 1 7 5 0 0 0 0 0 0 3 11 0 +3698 1983 Graduation Together 78687 0 0 09-08-2012 13 817 185 687 145 55 241 1 4 6 8 2 0 0 1 0 0 0 3 11 1 +9516 1971 2n Cycle Divorced 49118 0 0 18-08-2012 90 620 54 239 99 98 119 2 9 7 10 7 0 1 0 0 1 0 3 11 1 +679 1957 PhD Married 37633 1 1 20-09-2012 49 13 4 20 0 0 1 2 1 0 3 9 0 0 0 0 0 0 3 11 0 +7384 1951 Master Together 39767 0 0 21-07-2013 18 113 61 204 34 26 47 2 7 1 7 8 0 0 0 0 0 0 3 11 0 +5043 1951 Basic Married 26997 0 0 05-11-2012 89 7 23 78 133 49 144 2 4 2 5 7 0 0 0 0 0 0 3 11 0 +5267 1970 Graduation Divorced 33986 1 0 14-03-2013 43 16 2 18 2 1 5 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +339 1972 PhD Married 57091 0 1 23-11-2012 82 462 0 24 6 0 4 2 9 2 5 7 0 1 0 0 0 0 3 11 1 +2516 1969 2n Cycle Married 46831 1 1 08-06-2013 84 22 2 10 6 4 34 2 1 2 2 4 0 0 0 0 0 0 3 11 0 +9010 1972 Master Married 83151 0 0 10-02-2013 80 968 147 842 137 42 210 1 5 7 10 2 1 0 1 1 0 0 3 11 1 +378 1971 Graduation Married 52531 0 0 30-12-2012 68 283 112 151 51 72 125 2 7 2 10 6 0 0 0 0 0 0 3 11 0 +4808 1956 Graduation Married 15759 0 0 05-09-2013 12 1 2 5 6 0 3 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +5068 1971 Graduation Single 22804 1 0 31-07-2013 75 14 1 7 2 1 1 1 2 0 2 9 0 0 0 0 0 0 3 11 0 +7628 1973 2n Cycle Married 43050 1 0 18-03-2014 10 30 5 24 6 3 8 2 2 0 4 5 0 0 0 0 0 0 3 11 0 +7128 1977 PhD Single 42997 1 1 07-12-2013 91 4 0 5 0 1 5 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +2811 1963 PhD Single 48918 1 1 12-04-2014 21 52 0 9 0 0 1 2 1 0 4 4 0 0 0 0 0 0 3 11 0 +3551 1954 Master Together 60033 0 1 29-03-2014 28 62 1 57 19 11 48 2 2 1 5 2 0 0 0 0 0 0 3 11 0 +1663 1978 PhD Together 34043 1 0 25-10-2013 97 20 2 14 3 0 10 1 2 0 2 9 0 0 0 0 0 0 3 11 0 +5543 1966 Graduation Together 57811 0 1 24-06-2013 49 545 7 114 37 21 78 5 7 2 11 5 0 1 0 0 0 0 3 11 0 +1577 1946 Graduation Married 78569 0 0 19-02-2014 14 558 79 622 207 175 95 1 4 6 4 1 0 0 1 0 0 0 3 11 1 +10641 1978 Graduation Single 7500 1 1 27-12-2012 5 6 5 4 13 4 25 4 2 1 3 6 0 0 0 0 0 0 3 11 0 +5336 1971 Master Together 157733 1 0 04-06-2013 37 39 1 9 2 0 8 0 1 0 1 1 0 0 0 0 0 0 3 11 0 +6024 1953 Graduation Together 94384 0 0 04-03-2013 62 1111 24 790 160 45 172 0 5 8 5 2 0 1 1 1 0 0 3 11 1 +1878 1985 2n Cycle Married 23148 0 0 18-02-2014 83 4 6 8 6 3 10 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +3099 1970 Graduation Divorced 44267 1 1 25-02-2013 48 183 5 65 3 5 49 5 5 2 4 9 0 0 0 0 0 0 3 11 0 +6055 1979 Graduation Married 71626 0 0 01-11-2012 94 546 72 376 94 145 72 1 5 5 8 3 0 1 0 0 0 0 3 11 0 +5841 1966 Graduation Together 60894 0 1 28-06-2013 61 606 7 155 10 0 54 5 10 3 8 7 0 0 0 0 0 0 3 11 0 +3972 1976 Graduation Together 50200 1 1 03-04-2013 70 266 6 51 8 6 64 6 7 1 5 8 0 0 0 0 0 0 3 11 0 +4394 1965 PhD Married 81051 0 0 23-05-2014 43 1142 29 249 38 29 14 1 5 5 12 2 0 1 1 0 0 0 3 11 0 +5758 1982 Graduation Married 65169 0 0 14-01-2014 23 1074 0 69 0 0 46 1 10 4 13 6 1 0 1 1 1 0 3 11 1 +6658 1972 Graduation Together 59868 0 1 22-07-2013 37 771 51 154 54 10 154 7 11 2 12 6 0 0 0 0 0 0 3 11 0 +4603 1960 PhD Married 65695 0 1 31-01-2014 50 371 32 189 0 58 6 2 5 4 10 4 0 0 0 0 0 0 3 11 0 +8427 1956 Master Single 64857 0 0 23-11-2012 78 556 14 717 210 0 43 1 7 5 10 4 0 0 0 0 0 0 3 11 0 +10260 1965 Master Together 45143 0 1 26-08-2013 74 202 5 74 11 5 14 3 6 1 5 7 0 0 0 0 0 0 3 11 0 +7143 1955 2n Cycle Together 74805 0 1 06-11-2013 14 209 162 209 41 162 37 5 4 7 10 2 0 0 0 0 0 0 3 11 0 +8789 1989 2n Cycle Married 59060 1 0 11-01-2014 77 35 40 111 36 40 12 3 3 1 7 4 0 0 0 0 0 0 3 11 0 +6197 1962 PhD Single 27238 1 1 20-04-2013 39 37 0 17 0 0 3 3 3 0 3 9 0 0 0 0 0 0 3 11 0 +4554 1965 Graduation Together 47009 0 1 01-10-2013 89 171 45 73 59 10 90 4 3 2 8 4 0 0 0 0 0 0 3 11 0 +4937 1973 2n Cycle Married 46094 1 1 10-06-2014 62 12 2 20 3 2 5 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +1920 1972 Graduation Married 40321 1 1 29-07-2013 59 44 4 21 6 0 27 2 3 0 3 7 0 0 0 0 0 0 3 11 0 +8749 1984 Graduation Together 37235 1 0 01-02-2014 68 20 2 9 4 6 20 1 1 1 2 4 0 0 0 0 0 0 3 11 0 +1650 1960 Master Married 81843 0 0 22-04-2013 13 779 86 537 34 69 138 1 5 9 12 3 0 0 0 0 0 0 3 11 0 +10377 1958 Master Together 46692 0 1 06-06-2013 37 170 6 97 24 12 88 3 6 1 5 6 0 0 0 0 0 0 3 11 0 +9206 1968 Graduation Together 77382 0 1 07-01-2014 36 491 48 231 112 105 134 2 5 7 12 1 0 0 1 0 0 0 3 11 0 +10971 1977 Graduation Single 37774 2 0 03-09-2012 28 173 8 107 7 2 176 4 7 2 3 9 1 0 0 0 0 1 3 11 1 +6398 1974 Basic Married 18393 1 0 29-03-2014 2 7 10 13 16 0 4 2 3 0 3 8 0 0 0 0 0 0 3 11 0 +9212 1962 Master Married 72828 0 1 14-02-2013 17 1205 0 235 19 14 205 6 6 3 13 7 0 0 0 0 0 0 3 11 0 +7937 1982 Graduation Married 24711 0 0 18-04-2014 86 10 7 25 6 3 7 1 3 0 3 7 0 0 0 0 0 0 3 11 0 +839 1975 PhD Married 45503 1 0 25-09-2013 54 97 4 44 6 1 18 1 3 1 4 5 0 0 0 0 0 0 3 11 0 +4246 1982 Master Single 6560 0 0 12-12-2013 2 67 11 26 4 3 262 0 1 0 1 17 0 0 0 0 0 0 3 11 0 +158 1945 PhD Together 71604 0 0 17-11-2013 3 345 53 528 98 75 97 1 8 3 5 4 1 0 0 0 0 0 3 11 1 +4832 1979 Graduation Married 27244 1 0 07-03-2014 84 6 5 17 3 24 46 2 2 2 2 7 0 0 0 0 0 0 3 11 0 +5621 1969 Graduation Married 48752 1 1 12-12-2012 8 73 57 100 71 15 0 5 6 1 5 9 0 0 0 0 0 0 3 11 1 +1945 1962 Graduation Married 71434 0 1 18-09-2013 4 711 36 217 172 96 168 3 7 4 7 4 0 1 0 1 0 0 3 11 0 +5147 1948 Graduation Single 90842 0 0 29-07-2013 57 774 70 118 182 187 93 1 4 9 13 1 0 0 0 0 0 0 3 11 0 +2535 1978 Master Married 88097 1 0 18-08-2012 24 163 0 480 0 126 75 1 6 5 8 9 0 1 1 1 0 0 3 11 1 +11039 1975 Graduation Married 51948 0 1 17-09-2013 51 82 33 54 71 30 41 2 5 2 4 5 0 0 0 0 0 0 3 11 0 +9495 1982 Graduation Together 71853 0 0 08-05-2013 29 358 108 413 141 97 32 1 2 8 6 1 0 0 0 0 0 0 3 11 0 +9635 1983 Master Married 35876 0 0 20-04-2014 13 66 2 40 4 3 14 1 3 1 3 6 0 0 0 0 0 0 3 11 0 +2173 1952 Graduation Widow 40049 0 1 16-10-2013 23 13 6 7 0 3 3 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +942 1982 Graduation Single 39660 1 0 08-08-2012 36 139 13 78 20 13 36 3 7 1 3 9 0 0 0 0 0 0 3 11 1 +9386 1962 Graduation Together 50127 0 1 29-05-2014 88 274 0 21 4 6 15 1 5 1 6 6 0 1 0 0 0 0 3 11 0 +5510 1977 Master Married 43263 0 1 21-11-2012 2 262 6 61 0 10 102 3 5 2 6 5 0 0 0 0 0 0 3 11 0 +873 1949 Master Married 62845 1 1 01-10-2012 3 1099 0 45 0 0 34 11 3 4 10 8 0 1 0 0 0 0 3 11 1 +2253 1990 Graduation Married 18929 0 0 16-02-2013 15 32 0 8 23 4 18 1 1 0 4 6 0 0 0 0 0 0 3 11 0 +5181 1982 Basic Single 24367 1 0 20-03-2013 58 2 4 2 0 11 5 1 1 0 2 9 0 0 0 0 0 0 3 11 0 +979 1975 Graduation Single 33249 1 0 20-02-2013 11 6 10 21 19 14 42 2 2 1 3 6 0 0 0 0 0 0 3 11 0 +10390 1959 2n Cycle Married 26887 0 1 10-02-2013 27 6 7 4 3 4 6 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +4698 1983 PhD Married 50150 0 0 20-06-2013 32 135 46 92 65 61 11 2 5 2 7 5 0 0 0 0 0 0 3 11 0 +7793 1976 Graduation Together 62061 0 1 31-08-2013 12 641 7 84 0 30 38 3 10 4 7 6 0 1 0 0 0 0 3 11 0 +1745 1962 PhD Divorced 85696 0 0 03-05-2013 88 714 76 395 116 0 12 1 4 6 9 1 0 0 0 0 0 0 3 11 1 +10590 1956 PhD Together 76542 0 0 30-03-2013 91 794 73 573 0 29 14 1 4 8 10 2 0 0 0 0 0 0 3 11 0 +5080 1993 Graduation Single 70515 0 0 21-10-2013 12 420 0 452 182 64 140 1 6 6 4 2 0 0 0 0 0 0 3 11 1 +8369 1987 Graduation Together 18227 1 0 08-11-2012 21 1 2 7 4 3 11 1 0 1 2 8 0 0 0 0 0 0 3 11 0 +5232 1965 Graduation Married 69139 0 1 27-01-2014 23 86 12 75 33 15 6 1 4 1 5 4 0 0 0 0 0 0 3 11 0 +2407 1982 Graduation Married 69109 0 0 09-11-2012 10 823 25 459 124 29 95 1 6 6 7 4 0 0 1 0 0 0 3 11 1 +3834 1962 Graduation Single 69627 0 1 17-03-2013 35 231 161 215 171 30 53 2 8 2 11 5 0 0 0 0 0 0 3 11 0 +7912 1978 Graduation Married 38136 1 0 22-04-2013 69 8 15 27 0 20 33 2 3 1 2 8 1 0 0 0 0 0 3 11 0 +7712 1946 PhD Single 62159 0 0 28-04-2014 68 182 17 259 77 70 29 1 6 2 10 4 0 0 0 0 0 0 3 11 0 +1065 1963 Graduation Single 80695 0 0 29-12-2013 85 557 129 984 193 37 18 1 5 8 5 2 0 0 0 0 0 0 3 11 0 +7275 1971 Master Single 33316 1 1 04-10-2013 34 79 1 31 4 4 12 3 2 1 4 6 0 0 0 0 0 0 3 11 0 +1343 1968 Graduation Together 58554 1 1 26-09-2012 55 368 24 68 38 0 88 6 8 2 6 7 0 0 0 0 0 0 3 11 0 +1384 1992 Basic Married 17256 1 0 23-11-2013 10 6 4 14 8 8 22 2 2 1 2 8 1 0 0 0 0 0 3 11 0 +9967 1974 Graduation Divorced 53034 1 1 30-05-2013 30 160 15 196 15 11 50 8 6 1 7 8 0 0 0 0 0 0 3 11 0 +6181 1950 2n Cycle Together 52203 0 0 31-07-2012 36 488 21 238 56 108 28 1 8 7 11 6 0 0 0 0 0 0 3 11 0 +10507 1977 2n Cycle Divorced 59601 0 1 25-07-2013 14 691 7 69 0 7 23 4 2 2 7 8 0 1 0 0 0 0 3 11 0 +2674 1958 Master Single 75154 0 1 04-09-2012 79 543 10 205 160 143 82 1 6 3 6 3 0 0 0 0 0 0 3 11 1 +2698 1976 Graduation Single 47025 0 1 07-11-2013 52 254 7 108 20 0 26 3 6 3 5 6 0 0 0 0 0 0 3 11 0 +3231 1973 Graduation Married 37971 1 0 25-11-2013 97 5 4 10 2 2 7 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +4096 1968 Master Divorced 41335 1 0 26-12-2013 24 112 19 21 16 14 5 3 4 1 4 7 0 0 0 0 0 0 3 11 0 +10476 1958 Graduation Married 67267 0 1 13-05-2014 0 134 11 59 15 2 30 1 3 2 5 2 0 0 0 0 0 0 3 11 0 +5948 1975 Graduation Single 57338 0 1 29-04-2014 96 143 6 52 11 8 17 2 4 1 5 5 0 0 0 0 0 0 3 11 0 +9140 1960 2n Cycle Together 50523 1 1 25-12-2013 89 51 4 24 4 7 1 2 2 0 4 6 0 0 0 0 0 0 3 11 0 +10258 1965 Master Single 35791 2 1 06-05-2013 94 27 0 5 0 0 3 2 1 0 3 8 0 0 0 0 0 0 3 11 0 +5675 1960 PhD Divorced 50611 0 1 04-10-2012 98 459 0 24 6 0 4 6 4 5 7 6 0 1 0 0 0 0 3 11 0 +4743 1969 PhD Married 56242 0 1 03-03-2013 72 689 8 167 11 8 88 5 8 4 11 6 0 0 0 0 0 0 3 11 0 +8805 1960 Graduation Single 48904 0 1 02-12-2012 1 283 10 38 0 13 27 4 7 2 4 8 0 0 0 0 0 0 3 11 0 +1542 1975 Graduation Single 56243 1 2 30-12-2013 26 347 0 35 4 3 7 6 4 2 8 5 0 0 0 0 0 0 3 11 0 +6770 1985 Graduation Married 21355 1 0 20-08-2013 5 5 13 14 0 5 31 2 2 1 2 6 1 0 0 0 0 0 3 11 1 +8773 1971 Master Together 57420 0 1 25-06-2013 22 280 0 18 0 0 24 3 5 1 6 7 0 1 0 0 0 0 3 11 0 +10475 1970 Master Together 0 1 01-04-2013 39 187 5 65 26 20 14 2 4 2 6 5 0 0 0 0 0 0 3 11 0 +10420 1955 Master Divorced 46390 0 1 05-05-2014 56 95 14 64 2 9 38 1 4 2 3 7 0 0 0 0 0 0 3 11 0 +7514 1956 2n Cycle Together 54342 1 1 03-07-2013 74 84 10 34 11 10 28 4 3 1 4 6 0 0 0 0 0 0 3 11 0 +2902 1958 Graduation Together 1 1 03-09-2012 87 19 4 12 2 2 6 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +4345 1964 2n Cycle Single 1 1 12-01-2014 49 5 1 9 2 0 4 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +793 1973 Graduation Married 20895 1 0 06-10-2012 24 18 3 17 3 0 4 1 2 0 3 9 0 0 0 0 0 0 3 11 0 +10909 1948 Graduation Married 92344 0 0 15-01-2014 9 992 24 694 51 19 119 0 5 10 5 1 1 0 1 0 0 0 3 11 0 +3769 1972 PhD Together 1 0 02-03-2014 17 25 1 13 0 0 3 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +8702 1976 2n Cycle Together 26907 1 1 20-08-2013 10 9 1 7 0 3 2 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +4791 1980 Graduation Together 44964 1 1 16-12-2012 35 19 1 17 2 0 2 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +2963 1979 Graduation Together 75507 0 0 02-05-2014 56 709 93 374 104 80 80 1 8 6 6 3 0 0 0 0 0 0 3 11 0 +8216 1972 Master Married 53761 1 1 11-10-2013 7 158 0 76 13 7 71 6 4 4 3 5 0 0 0 0 0 0 3 11 0 +8140 1973 Graduation Together 22682 1 0 03-10-2013 51 10 14 29 4 2 36 3 2 1 4 4 0 0 0 0 0 0 3 11 0 +10146 1972 PhD Together 38887 1 0 02-03-2014 17 25 1 13 0 0 3 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +5289 1975 2n Cycle Single 41658 1 1 09-11-2012 30 8 4 12 15 4 29 2 1 1 2 4 0 0 0 0 0 0 3 11 0 +2587 1972 PhD Married 29791 1 0 15-05-2014 21 14 0 6 0 0 0 2 2 0 3 5 0 0 0 0 0 0 3 11 0 +4405 1956 Master Married 63915 0 2 30-07-2013 2 622 7 115 30 0 15 2 6 3 12 5 0 0 0 0 0 0 3 11 0 +8663 1974 Graduation Divorced 39996 1 1 22-05-2014 85 11 0 3 0 0 1 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +2589 1972 Graduation Divorced 26759 1 0 07-02-2014 65 25 3 16 8 5 2 2 2 1 3 6 0 0 0 0 0 0 3 11 0 +3421 1968 Master Divorced 63841 0 1 21-04-2013 64 635 15 100 20 7 131 1 9 3 9 6 0 0 0 0 0 0 3 11 0 +10490 1969 PhD Married 51039 1 1 10-12-2012 11 100 64 79 65 0 109 2 6 2 4 7 0 0 0 0 0 0 3 11 0 +4094 1961 Graduation Married 60544 1 1 25-08-2012 92 201 2 43 3 5 35 4 5 1 5 6 0 0 0 0 0 0 3 11 0 +9958 1972 Graduation Married 65685 0 1 29-03-2014 54 642 14 49 0 7 57 1 9 2 9 5 0 0 0 0 0 0 3 11 0 +2534 1953 Graduation Married 37716 0 1 21-04-2014 4 97 1 41 6 2 41 2 4 1 3 7 0 0 0 0 0 0 3 11 0 +4188 1957 Graduation Single 36864 0 1 13-08-2012 53 204 5 39 17 0 89 3 5 2 4 8 0 0 0 0 0 0 3 11 1 +6613 1970 Master Married 44511 1 0 12-10-2012 39 513 7 133 46 14 14 6 8 4 8 8 0 0 0 0 0 0 3 11 0 +10827 1967 PhD Married 36947 1 1 07-08-2012 49 88 3 21 4 1 29 4 3 0 4 9 0 0 0 0 0 0 3 11 0 +5491 1951 Master Together 47352 0 1 11-04-2013 70 172 12 112 8 0 15 4 6 1 5 7 0 0 0 0 0 0 3 11 0 +8402 1953 Master Married 67087 0 1 17-12-2013 40 329 35 222 130 35 43 2 7 5 8 4 0 0 0 0 0 0 3 11 0 +8783 1950 Graduation Married 57045 0 1 08-09-2012 40 296 13 104 11 13 17 3 4 2 9 3 0 0 0 0 0 0 3 11 0 +10010 1953 PhD Divorced 36957 1 1 06-09-2012 43 100 2 16 2 1 31 4 3 2 2 9 0 0 0 0 0 0 3 11 1 +618 1977 PhD Married 69389 0 1 28-09-2012 17 422 7 238 69 46 15 1 7 2 12 4 0 0 0 0 0 0 3 11 0 +9121 1972 Graduation Married 80134 1 0 20-05-2013 40 1218 16 272 104 0 80 2 5 3 6 6 0 1 1 1 0 0 3 11 1 +361 1969 Master Married 43142 1 1 18-02-2014 84 5 1 7 2 1 4 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +4310 1944 Graduation Married 80589 0 0 22-01-2014 25 507 93 520 242 40 26 1 5 10 5 1 0 0 0 1 0 0 3 11 1 +2678 1990 Graduation Single 34412 1 0 13-02-2013 62 52 12 50 4 36 55 3 5 0 3 9 0 0 0 0 0 0 3 11 0 +6376 1979 Graduation Single 57537 1 0 10-06-2013 83 191 56 139 51 8 100 4 4 3 8 4 0 0 0 0 0 0 3 11 0 +524 1966 Basic Together 22634 0 0 16-01-2013 47 2 23 11 8 6 46 1 2 1 2 8 0 0 0 0 0 0 3 11 0 +10341 1948 Graduation Together 51315 0 0 23-02-2014 45 68 28 39 16 30 41 1 2 2 5 2 0 0 0 0 0 0 3 11 0 +5654 1972 Graduation Married 36026 2 1 16-03-2014 34 20 4 10 6 4 17 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +4098 1973 Graduation Married 24639 1 1 28-01-2014 3 20 3 16 0 4 1 3 2 0 4 6 0 0 0 0 0 0 3 11 0 +5824 1972 PhD Together 34578 2 1 11-04-2014 1 7 0 1 0 0 0 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +7000 1972 2n Cycle Single 65704 0 0 13-10-2013 18 279 172 74 38 8 246 1 2 10 10 1 0 0 0 0 0 0 3 11 0 +2561 1966 Graduation Single 63810 0 1 11-11-2012 45 977 12 253 16 12 101 4 4 3 12 8 0 1 0 0 0 0 3 11 0 +5229 1969 PhD Together 54132 0 1 16-02-2014 81 30 1 8 0 0 3 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +4086 1959 Graduation Married 18690 0 0 28-12-2012 77 6 1 7 23 4 19 1 1 1 2 8 0 0 0 0 0 0 3 11 0 +2428 1970 Graduation Married 28164 1 0 04-05-2013 23 3 18 26 11 8 12 3 2 0 4 7 0 0 0 0 0 0 3 11 0 +8254 1974 PhD Married 34596 1 0 13-04-2013 48 14 0 2 0 0 7 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +2836 1972 PhD Married 43269 1 0 16-09-2013 61 10 1 7 0 0 1 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +8418 1958 2n Cycle Single 38741 1 1 30-03-2014 60 7 10 17 8 6 13 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +1362 1972 Graduation Single 31907 0 0 04-03-2013 75 33 87 64 175 16 74 1 6 1 6 7 0 0 0 0 0 0 3 11 0 +7152 1983 Master Married 27100 1 0 05-04-2013 64 12 0 13 2 0 10 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +10033 1973 2n Cycle Divorced 31163 1 0 13-02-2014 54 2 3 10 11 2 10 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +9349 1985 Graduation Married 92533 0 0 19-12-2013 84 693 21 118 110 147 42 1 6 5 11 2 0 0 1 1 0 0 3 11 0 +274 1973 Graduation Single 34853 1 1 23-12-2013 75 9 3 15 2 3 2 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +3388 1967 Graduation Divorced 70844 1 1 30-10-2013 16 129 26 67 3 67 2 5 6 1 5 7 0 0 0 0 0 0 3 11 0 +922 1979 2n Cycle Married 31086 1 1 04-05-2013 79 16 2 11 3 0 16 2 1 1 2 8 1 0 0 0 0 0 3 11 0 +8588 1961 Graduation Married 60544 1 1 25-08-2012 92 201 2 43 3 5 35 4 5 1 5 6 0 0 0 0 0 0 3 11 0 +2518 1986 2n Cycle Together 20491 0 0 25-01-2013 16 5 4 5 4 2 10 1 0 1 2 7 0 0 0 0 0 0 3 11 0 +574 1964 Graduation Married 42523 0 0 23-04-2014 96 14 36 11 3 26 35 1 1 1 4 2 0 0 0 0 0 0 3 11 0 +3220 1983 Graduation Married 39922 1 0 14-02-2013 30 29 12 59 19 1 36 2 3 0 4 8 0 0 0 0 0 0 3 11 0 +5967 1952 Graduation Together 33402 1 1 18-07-2013 60 26 2 19 10 5 8 3 2 1 3 8 0 0 0 0 0 0 3 11 0 +1183 1949 Master Married 36408 1 1 21-09-2013 11 9 1 4 3 2 3 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +6856 1979 Graduation Together 21645 1 0 03-09-2012 75 14 0 23 4 5 19 3 3 0 3 9 0 0 0 0 0 0 3 11 1 +4530 1948 Master Widow 78427 0 0 24-10-2012 36 972 19 595 180 26 138 3 3 7 10 3 0 0 0 1 0 0 3 11 1 +1553 1946 Graduation Together 82657 0 0 27-09-2013 71 966 168 672 246 105 126 1 7 5 10 4 0 1 0 1 0 0 3 11 0 +4682 1958 Graduation Married 51876 0 0 15-10-2013 88 99 27 102 28 48 6 1 2 2 8 1 0 0 0 0 0 0 3 11 0 +8204 1971 2n Cycle Married 78041 0 0 16-12-2012 93 482 35 553 72 160 17 1 4 4 9 2 0 0 0 0 0 0 3 11 0 +5221 1957 Graduation Married 52852 0 1 01-12-2012 93 714 8 99 11 0 47 4 10 7 5 8 1 0 0 0 0 0 3 11 0 +1232 1982 PhD Together 70038 0 0 25-10-2013 54 587 54 348 71 54 130 1 4 4 8 2 0 0 0 0 0 0 3 11 0 +1927 1973 2n Cycle Together 69401 0 1 23-03-2014 41 399 27 159 58 8 39 4 4 4 5 2 0 0 0 0 0 0 3 11 0 +5788 1972 Graduation Together 46053 1 0 17-02-2013 46 56 10 92 19 7 25 3 3 2 4 5 0 0 0 0 0 0 3 11 0 +6652 1965 Graduation Married 77343 0 0 09-06-2014 28 227 151 573 98 54 31 1 3 4 9 1 0 0 0 0 0 0 3 11 0 +6246 1953 Graduation Single 73892 0 0 13-11-2013 40 703 102 601 0 58 43 1 3 11 8 1 0 0 0 0 0 0 3 11 1 +5975 1967 PhD Single 40304 1 0 30-09-2013 82 37 0 17 0 0 3 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +6875 1965 PhD Together 32727 0 0 28-08-2012 38 167 13 180 86 13 70 2 7 3 5 8 0 0 0 0 0 0 3 11 0 +4399 1969 Graduation Together 68695 0 0 25-06-2014 3 458 81 356 106 50 40 1 4 4 7 2 0 0 0 0 0 0 3 11 0 +4042 1971 Graduation Divorced 43300 0 1 13-10-2012 87 91 3 52 2 1 31 3 4 0 4 8 0 0 0 0 0 0 3 11 1 +2157 1972 Graduation Together 26290 1 1 12-01-2013 49 15 8 16 11 5 22 4 2 0 4 6 0 0 0 0 0 0 3 11 0 +10133 1970 Graduation Single 93790 0 0 12-02-2014 16 1302 68 731 89 114 45 0 6 7 12 2 0 1 1 1 0 0 3 11 1 +2525 1974 PhD Married 38410 0 0 14-09-2012 65 153 64 123 116 64 14 2 5 2 9 6 0 0 0 0 0 0 3 11 1 +8233 1950 Master Widow 64866 0 1 26-01-2014 9 508 5 21 7 5 10 4 7 3 7 5 0 1 0 0 0 0 3 11 0 +9483 1959 Graduation Together 57957 0 1 19-08-2013 24 290 59 177 77 5 29 7 4 6 8 3 0 0 0 0 0 1 3 11 0 +2945 1955 PhD Together 46015 1 1 13-04-2014 25 38 0 2 0 0 6 1 1 0 3 7 1 0 0 0 1 0 3 11 0 +10403 1978 Graduation Together 16531 1 0 18-06-2014 43 2 13 6 7 5 11 3 3 0 3 7 0 0 0 0 0 0 3 11 0 +5074 1986 Master Married 28072 1 0 08-07-2013 10 30 0 10 2 0 5 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +10524 1963 Master Divorced 49476 0 1 20-06-2013 29 386 23 95 54 41 196 4 2 11 5 2 0 0 0 0 0 0 3 11 0 +4690 1953 Graduation Married 50725 0 1 13-02-2013 45 443 10 75 0 10 48 4 8 1 8 8 0 0 0 0 0 0 3 11 0 +7521 1952 Graduation Together 83844 0 0 12-05-2013 57 901 31 345 75 31 191 1 4 4 11 1 0 0 1 0 0 0 3 11 0 +7196 1950 PhD Married 41145 1 1 08-02-2014 20 9 0 3 0 0 1 1 0 0 3 3 0 0 0 0 0 0 3 11 0 +4406 1970 Graduation Together 67419 0 1 16-01-2013 29 846 84 352 91 56 42 4 9 4 8 5 0 0 0 0 0 0 3 11 0 +9672 1970 2n Cycle Married 23162 1 1 21-12-2013 82 8 3 9 19 4 22 3 1 1 3 6 0 0 0 0 0 0 3 11 0 +4864 1977 Graduation Married 34380 1 0 02-05-2013 68 72 7 58 13 1 24 4 4 1 3 8 0 0 0 0 0 0 3 11 0 +4706 1966 Graduation Single 34704 0 1 27-04-2013 65 29 0 5 0 1 5 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +4070 1969 PhD Married 94871 0 2 01-09-2012 99 169 24 553 188 0 144 1 8 5 4 7 0 1 1 0 0 0 3 11 1 +25 1958 Graduation Married 65148 0 1 16-11-2012 9 460 35 422 33 12 153 2 6 6 7 4 0 0 0 0 0 0 3 11 0 +3697 1954 Graduation Together 39898 0 1 12-02-2013 20 69 8 26 12 7 12 2 3 0 4 7 0 0 0 0 0 0 3 11 0 +217 1956 Master Single 64857 0 0 23-11-2012 78 556 14 717 210 0 43 1 7 5 10 4 0 0 0 0 0 0 3 11 0 +4220 1970 PhD Married 59892 0 1 02-11-2013 26 73 0 13 0 1 0 1 2 1 3 3 0 0 0 0 0 0 3 11 0 +5286 1987 Master Single 41020 0 0 28-10-2013 68 112 1 54 7 7 36 1 3 2 4 3 0 0 0 0 0 0 3 11 0 +9559 1961 PhD Married 57072 0 1 24-01-2014 79 944 0 60 0 0 30 2 7 5 13 5 1 0 0 0 0 0 3 11 0 +2849 1979 Graduation Single 60474 0 1 01-04-2013 25 265 199 303 234 9 170 7 10 2 12 7 0 0 0 0 0 0 3 11 0 +7787 1960 Graduation Together 62807 0 1 31-08-2012 83 526 28 135 10 21 99 3 5 3 12 5 0 0 0 0 0 0 3 11 0 +3102 1981 2n Cycle Together 19414 1 0 16-10-2013 32 2 3 12 3 5 7 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +5868 1980 Graduation Married 19107 1 0 22-08-2013 49 2 4 9 10 5 16 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +8370 1976 2n Cycle Together 75484 0 1 02-08-2012 50 378 97 259 197 194 34 2 7 3 6 4 0 0 0 0 0 0 3 11 0 +9988 1976 Master Single 70379 0 1 03-03-2013 84 553 25 142 65 67 8 3 6 3 13 4 0 0 0 0 0 0 3 11 0 +2939 1970 Master Together 79419 0 0 22-06-2014 96 751 127 687 20 15 31 1 4 6 4 2 0 0 0 0 0 0 3 11 0 +5529 1946 PhD Together 64014 2 1 10-06-2014 56 406 0 30 0 0 8 7 8 2 5 7 0 0 0 1 0 0 3 11 0 +9743 1955 Graduation Married 76998 0 1 11-01-2013 85 1449 89 161 69 35 107 2 11 8 8 6 0 0 1 0 0 0 3 11 0 +5763 1972 Master Together 49854 1 0 10-11-2013 63 123 17 171 39 0 30 5 6 2 5 6 0 0 0 0 0 0 3 11 0 +3478 1971 PhD Married 60585 1 1 24-06-2013 17 267 42 309 55 42 21 10 7 4 9 5 0 0 0 0 0 0 3 11 1 +7494 1950 PhD Divorced 42873 1 1 21-01-2013 11 209 0 40 3 2 15 4 6 1 4 8 0 0 0 0 0 0 3 11 0 +1763 1988 Graduation Together 87679 0 0 27-07-2013 62 1259 172 815 97 148 33 1 7 11 10 4 1 0 1 1 0 0 3 11 1 +7250 1978 Graduation Together 57867 1 0 01-10-2013 48 344 35 178 15 23 17 7 7 2 9 6 0 0 0 0 0 0 3 11 0 +2005 1990 Graduation Married 35765 1 0 11-12-2013 86 22 3 30 0 5 15 2 2 0 4 6 0 0 0 0 0 0 3 11 0 +10770 1959 Graduation Married 65492 0 0 26-01-2014 73 247 161 295 210 85 47 2 4 7 13 2 0 0 0 0 0 0 3 11 0 +6885 1977 Graduation Divorced 32952 1 0 01-12-2013 36 38 0 12 3 1 1 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +2072 1969 PhD Together 53374 0 1 16-08-2012 34 896 10 101 13 10 34 6 4 2 9 9 1 0 0 0 0 0 3 11 1 +9463 1959 Graduation Together 71706 0 1 13-11-2012 16 931 56 253 91 98 14 4 9 5 7 5 0 0 0 0 0 0 3 11 0 +6318 1988 Graduation Married 68487 0 0 13-01-2013 48 758 12 385 33 89 89 1 9 7 13 4 0 0 0 0 0 0 3 11 0 +4093 1975 Master Together 53253 1 1 11-02-2013 61 216 9 57 20 9 125 7 4 3 5 5 0 0 0 0 0 0 3 11 0 +5751 1973 2n Cycle Divorced 31163 1 0 13-02-2014 54 2 3 10 11 2 10 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +3340 1977 Graduation Married 42014 1 0 17-08-2012 56 244 15 108 4 15 50 6 7 1 6 8 0 0 0 0 0 0 3 11 1 +3594 1973 Master Married 54108 1 1 05-11-2012 74 539 6 91 8 6 97 13 8 2 9 8 0 0 0 0 0 0 3 11 0 +3584 1955 PhD Single 49667 0 0 20-08-2012 35 1181 26 120 17 13 39 2 5 10 5 8 1 0 0 0 0 0 3 11 1 +3643 1974 Master Married 63206 0 0 20-03-2014 65 750 8 125 11 8 26 1 4 3 6 2 0 0 1 0 0 0 3 11 0 +851 1972 Master Married 57136 1 1 09-07-2013 48 306 5 109 21 109 92 9 5 2 10 6 0 0 0 0 0 0 3 11 0 +7706 1975 2n Cycle Together 46772 0 1 07-11-2012 88 350 104 189 197 151 57 6 11 8 5 8 1 0 0 0 0 0 3 11 0 +3967 1971 PhD Married 78931 0 0 25-10-2013 19 331 197 170 58 152 35 1 2 8 13 1 0 0 0 0 0 0 3 11 0 +10128 1958 Graduation Together 53977 0 1 08-06-2013 21 620 16 165 0 24 82 5 5 5 12 5 0 0 0 0 0 0 3 11 0 +486 1988 Graduation Married 84219 0 0 02-02-2014 27 434 137 400 45 137 45 1 3 4 10 1 0 0 0 0 0 0 3 11 0 +9 1975 Master Single 46098 1 1 18-08-2012 86 57 0 27 0 0 36 4 3 2 2 8 0 0 0 0 0 0 3 11 0 +9451 1965 Graduation Married 73538 0 1 25-11-2012 92 811 76 428 99 137 107 3 10 4 9 7 0 0 0 0 0 0 3 11 0 +9264 1986 Graduation Married 79529 0 0 27-04-2014 1 423 42 706 73 197 197 1 4 8 9 2 0 0 0 0 0 0 3 11 0 +3865 1977 2n Cycle Together 20981 0 0 30-04-2013 14 2 12 10 6 13 30 1 3 1 2 8 0 0 0 0 0 0 3 11 1 +2853 1980 Graduation Single 51766 1 0 11-03-2014 74 60 51 87 6 20 51 2 4 2 4 5 0 0 0 0 0 0 3 11 0 +1490 1962 Graduation Married 55759 0 1 28-11-2012 84 675 0 85 10 7 77 5 10 3 8 8 0 0 0 0 0 0 3 11 0 +6310 1978 Graduation Married 33039 1 0 09-09-2013 4 30 8 12 8 8 12 1 2 0 4 5 0 0 0 0 0 0 3 11 0 +10380 1972 Master Married 37787 1 0 20-09-2013 50 40 1 40 4 3 18 1 3 0 3 8 0 0 0 0 0 0 3 11 0 +3887 1970 Graduation Single 27242 1 0 11-11-2012 2 3 17 26 20 1 39 2 2 0 3 9 0 0 0 0 0 0 3 11 1 +4278 1983 PhD Single 87188 0 0 03-06-2013 73 910 111 724 49 74 55 1 10 2 6 3 0 0 0 0 0 0 3 11 1 +8643 1971 Graduation Together 69930 0 0 26-05-2013 21 252 98 827 219 70 196 1 4 5 12 3 0 0 0 0 0 0 3 11 0 +1998 1976 Graduation Single 37697 1 0 07-02-2014 82 34 6 21 11 4 8 1 2 1 3 6 0 0 0 0 0 0 3 11 0 +10795 1973 PhD Married 37401 1 0 06-05-2014 14 19 3 19 3 1 3 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +11110 1973 Graduation Single 3502 1 0 13-04-2013 56 2 1 1 0 0 1 0 0 0 0 14 0 0 0 0 0 0 3 11 0 +2408 1976 Graduation Married 58597 1 1 20-11-2012 20 490 0 184 10 28 21 12 7 4 9 7 0 0 0 0 0 0 3 11 0 +202 1948 PhD Widow 82032 0 0 05-04-2014 54 332 194 377 149 125 57 0 4 6 7 1 0 0 0 0 0 0 3 11 0 +7998 1958 Graduation Together 28087 1 1 11-12-2012 77 53 8 17 13 0 21 3 2 2 2 7 0 0 0 0 0 0 3 11 0 +830 1987 PhD Single 74004 0 0 24-02-2014 5 784 48 560 42 176 48 1 4 6 4 3 0 0 1 1 0 0 3 11 1 +3536 1960 Graduation Together 19740 0 1 24-03-2013 65 7 11 3 10 4 20 2 1 1 3 5 0 0 0 0 0 0 3 11 0 +6050 1975 2n Cycle Married 57036 0 1 11-12-2012 33 1171 43 219 19 14 47 4 6 3 13 9 1 0 0 0 0 0 3 11 0 +125 1958 2n Cycle Together 53083 1 1 15-05-2013 65 215 7 33 3 0 13 6 5 1 5 7 0 1 0 0 0 0 3 11 0 +3463 1975 PhD Married 69283 0 1 14-06-2014 41 674 62 134 0 26 8 4 7 3 13 5 0 0 0 0 0 0 3 11 0 +2804 1975 Master Single 46098 1 1 18-08-2012 86 57 0 27 0 0 36 4 3 2 2 8 0 0 0 0 0 0 3 11 1 +3745 1988 2n Cycle Married 23331 1 0 04-09-2012 92 5 36 7 0 10 45 2 3 0 3 8 0 0 0 0 0 0 3 11 0 +9771 1988 2n Cycle Single 23331 1 0 05-10-2012 97 104 20 101 24 15 5 6 5 1 5 9 0 0 0 0 0 0 3 11 0 +451 1989 Graduation Single 9255 1 0 20-12-2013 91 9 0 7 2 0 4 1 1 1 2 8 0 0 0 0 0 0 3 11 0 +10530 1959 PhD Widow 67786 0 0 07-12-2013 0 431 82 441 80 20 102 1 3 6 6 1 0 0 0 0 0 0 3 11 1 +1079 1971 PhD Married 71969 0 1 16-10-2012 59 1000 0 76 0 0 10 3 3 4 9 8 0 1 0 0 0 0 3 11 0 +8920 1967 Master Single 59235 1 0 12-01-2013 4 448 40 469 80 0 91 3 11 2 12 7 0 0 0 0 0 0 3 11 0 +6678 1989 Graduation Together 31928 1 0 28-03-2014 5 33 4 24 4 2 5 2 3 0 4 7 0 0 0 0 0 0 3 11 0 +3852 1961 Master Together 74881 1 1 08-03-2013 48 505 72 270 36 27 54 4 9 2 12 5 0 0 0 0 0 0 3 11 0 +528 1978 Graduation Married 65819 0 0 29-11-2012 99 267 38 701 149 165 63 1 5 4 10 3 0 0 0 0 0 0 3 11 0 +73 1953 PhD Single 51411 1 2 26-05-2013 81 14 0 3 0 0 1 1 0 0 3 5 0 0 0 0 0 0 3 11 0 +5589 1964 Graduation Divorced 51983 0 1 31-08-2012 95 631 0 115 10 7 30 3 9 2 10 7 0 0 0 0 0 0 3 11 0 +10212 1986 Master Together 42386 1 0 13-01-2013 43 65 4 16 0 4 11 1 3 0 3 8 0 0 0 0 0 0 3 11 0 +6365 1987 2n Cycle Married 30390 0 0 02-09-2013 5 10 12 12 25 1 20 1 2 0 3 6 0 0 0 0 0 0 3 11 0 +5636 1963 Graduation Single 30983 0 0 09-11-2012 50 51 4 50 12 1 49 1 4 0 3 8 0 0 0 0 0 0 3 11 1 +591 1957 Graduation Widow 66033 0 1 20-01-2013 76 293 35 179 46 59 65 2 8 3 7 7 0 0 0 0 0 0 3 11 0 +2217 1975 2n Cycle Married 37284 1 1 29-03-2013 46 11 1 2 2 1 6 1 0 0 3 6 0 0 0 0 0 0 3 11 0 +2544 1951 Master Divorced 57530 0 1 12-10-2013 68 50 1 27 6 7 1 1 1 1 4 1 0 0 0 0 0 0 3 11 0 +7725 1965 2n Cycle Married 76800 0 0 08-03-2014 33 173 26 255 35 71 81 1 4 4 7 1 0 0 0 0 0 0 3 11 0 +8091 1956 Graduation Married 63943 0 1 02-09-2012 50 423 184 368 13 97 21 1 6 4 6 5 0 0 0 0 0 0 3 11 0 +7321 1962 Graduation Together 76081 0 0 23-05-2014 85 292 30 415 63 33 200 1 4 5 4 2 0 0 0 1 0 0 3 11 0 +5462 1974 Graduation Married 67445 0 1 12-08-2012 63 757 80 217 29 80 11 5 9 6 12 6 0 0 0 0 0 0 3 11 0 +7791 1967 Master Married 37054 1 1 15-09-2013 89 12 1 6 0 1 5 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +955 1962 Master Together 47175 1 1 28-10-2012 81 167 2 44 6 2 19 7 4 2 4 8 1 0 0 0 0 0 3 11 1 +4037 1976 Graduation Divorced 31859 1 0 14-06-2013 77 3 1 3 8 0 5 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +6642 1961 Graduation Divorced 27215 2 1 23-01-2013 50 30 5 22 8 9 28 4 2 1 4 6 0 0 0 0 0 0 3 11 0 +2793 1976 PhD Divorced 70179 0 1 21-07-2013 10 532 88 168 69 44 133 3 7 3 13 5 0 0 0 0 0 0 3 11 0 +5424 1983 Graduation Married 39922 1 0 14-02-2013 30 29 12 59 19 1 36 2 3 0 4 8 0 0 0 0 0 0 3 11 0 +879 1976 Master Married 49681 0 2 04-11-2013 66 411 0 26 0 0 21 6 7 1 7 7 0 0 0 0 0 0 3 11 0 +9530 1988 Graduation Married 24645 1 0 01-11-2012 16 5 3 4 4 1 0 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +4828 1954 Graduation Divorced 79865 0 1 18-06-2014 12 71 99 278 185 121 38 1 5 10 5 1 0 0 0 0 0 0 3 11 0 +10699 1985 Graduation Married 44322 1 0 16-06-2014 30 46 0 40 3 0 3 2 3 0 3 8 0 0 0 0 0 0 3 11 0 +1497 1952 Graduation Single 47958 0 1 19-01-2013 8 268 11 88 15 3 22 2 6 3 5 5 0 0 0 0 0 0 3 11 0 +7476 1964 Master Single 63972 0 1 02-12-2012 93 928 63 254 0 12 12 4 5 4 10 4 0 1 0 0 0 0 3 11 0 +4390 1954 Graduation Together 75315 0 1 15-04-2014 14 459 15 171 142 23 31 2 5 4 12 2 0 0 0 0 0 0 3 11 0 +10478 1950 PhD Married 55517 1 1 27-09-2012 53 483 0 108 0 6 36 5 11 1 6 9 0 0 0 0 0 0 3 11 1 +1081 1957 PhD Married 75283 1 2 27-03-2013 26 733 9 180 12 19 66 11 6 3 5 4 0 0 0 0 0 0 3 11 0 +4261 1946 PhD Single 82800 0 0 24-11-2012 23 1006 22 115 59 68 45 1 7 6 12 3 0 0 1 1 0 0 3 11 1 +9916 1954 Graduation Married 38998 1 1 03-11-2012 92 34 1 14 0 0 5 3 2 0 3 8 0 0 0 0 0 1 3 11 0 +5350 1991 Master Single 90638 0 0 13-02-2014 29 1156 120 915 94 144 96 1 3 4 10 1 0 0 1 0 0 0 3 11 1 +8135 1986 Master Married 27161 1 0 28-10-2013 41 7 4 23 7 0 11 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +8685 1977 Graduation Married 42014 1 0 17-08-2012 56 244 15 108 4 15 50 6 7 1 6 8 0 0 0 0 0 0 3 11 1 +4967 1960 PhD Together 38201 0 1 29-03-2013 19 233 0 23 0 0 12 4 5 1 5 8 0 0 0 0 0 0 3 11 0 +2130 1982 Graduation Together 45203 2 0 23-03-2014 4 35 3 67 10 8 24 1 3 1 3 6 0 0 0 0 0 0 3 11 1 +9298 1947 PhD Together 81574 0 0 28-04-2014 89 1252 0 465 46 35 0 1 4 5 8 1 0 1 1 0 0 0 3 11 0 +8175 1992 Graduation Married 34935 0 0 21-06-2013 71 34 4 66 3 10 20 1 2 1 4 7 0 0 0 0 0 0 3 11 0 +6257 1976 Master Single 60482 0 1 23-01-2013 81 255 43 134 37 14 24 1 7 2 7 7 0 0 0 0 0 0 3 11 0 +3790 1956 Graduation Together 34633 2 1 23-01-2014 31 8 1 5 0 0 1 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +9952 1947 Master Together 78093 0 0 11-12-2013 53 368 32 639 13 43 10 1 4 7 5 1 0 0 0 0 0 0 3 11 0 +3503 1950 Graduation Divorced 82460 0 0 02-12-2013 78 255 47 573 52 32 15 1 5 3 6 1 0 0 0 0 0 0 3 11 0 +5223 1966 Master Together 45903 0 1 23-04-2014 80 33 8 10 2 10 3 2 2 1 3 4 0 0 0 0 0 0 3 11 0 +4608 1987 Graduation Divorced 81361 0 0 25-02-2014 18 163 23 424 27 65 76 1 3 10 13 1 0 0 0 0 0 0 3 11 1 +1626 1973 PhD Divorced 35860 1 1 19-05-2014 37 15 0 8 4 2 20 2 1 1 2 5 1 0 0 0 0 0 3 11 1 +4764 1952 Master Together 40442 1 1 19-08-2012 52 45 12 52 25 22 13 4 3 1 4 7 0 0 0 0 0 0 3 11 1 +2471 1965 Graduation Married 61482 0 0 27-06-2014 39 48 58 68 16 66 43 1 3 2 6 2 0 0 0 0 0 0 3 11 0 +5892 1980 Graduation Married 34968 1 0 10-04-2013 11 158 6 45 8 2 2 7 3 2 5 7 0 0 0 0 0 0 3 11 0 +2612 1987 Graduation Married 75794 0 0 24-12-2013 33 754 160 625 63 32 48 1 7 5 12 3 0 0 0 1 0 0 3 11 0 +4971 1962 PhD Together 31497 0 1 06-12-2012 22 108 1 28 13 1 4 2 3 1 4 8 0 0 0 0 0 0 3 11 0 +5185 1955 Graduation Married 74268 0 0 14-02-2013 83 199 66 315 97 174 41 1 4 3 5 2 0 0 0 0 0 0 3 11 0 +10069 1988 Basic Together 13724 1 0 31-08-2012 43 2 7 5 2 15 27 1 2 0 2 9 1 0 0 0 0 0 3 11 0 +2262 1965 Master Together 45143 0 1 26-08-2013 74 202 5 74 11 5 14 3 6 1 5 7 0 0 0 0 0 0 3 11 0 +1131 1967 PhD Single 52569 0 1 05-04-2014 54 85 0 3 0 0 7 1 2 0 4 3 0 0 0 0 0 0 3 11 0 +1041 1973 PhD Single 48432 0 1 18-10-2012 3 322 3 50 4 3 42 5 7 1 6 8 0 0 0 0 0 0 3 11 1 +24 1960 Master Together 17144 1 1 15-02-2014 96 18 2 19 0 2 6 5 3 0 4 7 0 0 0 0 0 0 3 11 0 +3409 1984 Graduation Single 36108 1 0 15-10-2013 68 141 8 129 3 11 47 3 7 1 4 9 1 0 0 0 0 0 3 11 0 +7022 1971 Graduation Married 76445 1 0 28-09-2012 2 739 107 309 140 80 35 1 2 5 13 6 0 0 0 0 0 0 3 11 0 +7943 1975 PhD Married 36663 1 0 25-04-2014 40 18 0 6 3 3 5 1 1 1 3 2 0 0 0 0 0 0 3 11 0 +5272 1965 Master Married 53843 0 1 27-06-2013 64 378 0 88 19 4 73 4 8 5 3 7 0 0 0 0 0 0 3 11 0 +5453 1956 Master Married 90226 0 0 26-09-2012 26 1083 108 649 253 151 108 1 4 7 12 2 0 0 0 1 0 0 3 11 0 +2565 1955 Master Divorced 70638 0 0 01-06-2013 69 1016 12 215 16 12 63 1 4 5 10 3 0 1 0 0 0 0 3 11 0 +800 1960 Graduation Together 44512 1 1 30-08-2013 57 23 1 6 0 0 2 2 1 0 3 4 0 0 0 0 0 0 3 11 0 +11092 1961 Graduation Married 27116 1 1 02-03-2014 78 12 1 21 2 2 3 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +5062 1963 PhD Married 54072 1 1 27-07-2013 71 35 0 4 0 0 0 1 2 0 2 8 0 0 0 0 0 0 3 11 0 +8969 1977 Graduation Married 71855 0 1 16-01-2013 59 548 31 422 0 112 28 4 5 5 11 3 0 0 0 0 0 0 3 11 0 +4656 1990 2n Cycle Single 51250 1 0 30-03-2013 28 342 32 230 34 32 40 5 10 5 4 9 1 0 0 0 0 0 3 11 0 +4480 1973 Master Married 60432 0 1 09-03-2014 61 365 3 15 4 3 11 5 7 2 5 6 0 0 0 0 0 0 3 11 0 +9971 1964 PhD Married 65526 0 1 11-04-2014 22 397 19 69 12 0 9 1 4 4 8 2 0 0 0 0 0 0 3 11 0 +6729 1988 Graduation Single 68655 0 0 10-08-2012 95 456 19 832 75 118 38 1 4 5 11 3 0 0 0 0 0 0 3 11 0 +1773 1978 2n Cycle Married 12393 0 0 04-12-2012 38 5 6 15 11 7 13 1 2 0 3 9 0 0 0 0 0 0 3 11 0 +9242 1990 Graduation Single 64509 0 0 17-08-2013 19 836 185 575 24 25 77 1 6 3 9 4 1 0 0 0 0 0 3 11 1 +1764 1975 Graduation Single 33955 1 0 09-08-2013 92 100 2 128 23 7 10 4 5 1 5 8 0 0 0 0 0 0 3 11 0 +6215 1977 Graduation Married 31353 1 1 29-12-2013 24 10 0 10 3 1 7 2 1 1 2 8 0 0 0 0 0 0 3 11 1 +10099 1984 Graduation Married 55434 1 0 05-10-2013 21 238 115 215 169 69 76 3 5 3 13 4 0 0 0 0 0 0 3 11 0 +5423 1983 Graduation Together 28359 1 0 27-10-2013 35 6 0 5 2 1 2 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +940 1987 Graduation Single 57100 1 0 18-05-2014 9 158 11 99 15 11 17 2 3 2 7 3 0 0 0 0 0 0 3 11 0 +3011 1965 Graduation Married 69139 0 1 27-01-2014 23 86 12 75 33 15 6 1 4 1 5 4 0 0 0 0 0 0 3 11 0 +3298 1956 Master Married 52973 0 1 08-11-2012 92 856 0 76 12 9 199 7 9 6 9 8 0 0 0 0 0 0 3 11 0 +8286 1965 PhD Together 51717 0 1 20-08-2013 55 98 1 17 0 1 5 1 3 0 4 7 0 1 0 0 0 0 3 11 0 +9668 1971 Graduation Married 18793 1 0 12-01-2013 14 4 16 20 0 17 20 3 2 0 4 8 0 0 0 0 0 0 3 11 0 +5120 1982 2n Cycle Together 66664 0 0 25-09-2012 78 398 96 447 220 96 32 1 5 7 6 3 0 0 0 0 0 0 3 11 0 +6097 1959 Graduation Single 50664 1 1 16-01-2013 64 313 8 104 6 4 126 9 8 1 6 9 0 0 0 0 0 0 3 11 0 +7019 1963 Graduation Together 54414 1 1 23-01-2013 49 109 18 16 24 26 18 4 3 1 5 4 0 0 0 0 0 0 3 11 0 +7408 1952 PhD Married 54549 0 1 03-03-2014 8 216 2 6 0 0 9 2 5 1 4 7 0 0 0 0 0 0 3 11 0 +8041 1971 PhD Widow 47111 0 1 08-09-2012 35 595 71 153 120 112 41 6 3 2 10 9 0 0 0 0 0 0 3 11 0 +252 1963 PhD Divorced 41003 0 0 17-03-2013 11 123 133 142 71 44 88 1 6 2 8 6 0 0 0 0 0 0 3 11 0 +9986 1982 Graduation Together 19444 1 0 22-02-2014 8 16 0 23 3 2 10 3 4 1 2 7 0 0 0 0 0 0 3 11 1 +3276 1976 2n Cycle Together 36301 1 0 25-10-2013 53 11 12 35 3 5 12 1 3 0 3 7 0 0 0 0 0 0 3 11 0 +3859 1947 PhD Together 73059 0 1 31-08-2013 36 410 112 420 0 82 71 1 9 3 13 4 0 0 0 0 0 0 3 11 0 +3570 1969 PhD Together 42731 1 0 21-10-2013 64 159 2 51 6 2 24 3 4 1 5 5 0 0 0 0 0 0 3 11 0 +3783 1959 PhD Married 52854 1 1 24-03-2014 43 105 0 10 0 1 0 2 2 1 4 5 0 0 0 0 0 0 3 11 0 +10207 1978 Graduation Together 22775 1 0 19-06-2013 40 5 1 8 0 0 1 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +10906 1948 PhD Together 46681 0 2 08-10-2013 52 269 15 69 15 19 38 2 4 6 4 5 0 0 0 0 0 0 3 11 0 +3427 1955 PhD Married 59821 0 1 12-04-2013 11 629 0 70 0 0 35 6 11 2 7 8 0 0 0 0 0 0 3 11 0 +5209 1954 Graduation Divorced 50002 0 1 17-06-2013 21 443 5 71 21 16 82 2 8 2 7 7 0 0 0 0 0 0 3 11 0 +10711 1945 Graduation Married 69755 0 0 02-10-2013 23 217 77 373 111 23 93 1 3 6 12 1 0 0 0 0 0 0 3 11 0 +10785 1969 Graduation Married 44078 1 1 19-06-2014 17 24 1 10 2 0 4 2 2 0 3 5 0 0 0 0 0 0 3 11 0 +2814 1976 Master Together 30560 1 0 27-06-2013 6 9 1 5 4 5 7 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +6866 1969 Master Together 35924 1 1 23-03-2014 56 8 0 14 2 3 7 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +1665 1964 PhD Divorced 64140 0 2 23-09-2013 71 1459 0 61 0 15 215 5 2 5 6 5 1 0 1 0 1 0 3 11 1 +6575 1981 Graduation Together 56386 1 1 27-10-2012 51 230 48 214 13 32 75 8 9 1 7 9 0 0 0 0 0 0 3 11 0 +3829 1979 Basic Together 24594 1 0 10-12-2013 94 1 3 6 10 0 9 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +3091 1981 2n Cycle Together 75774 1 0 02-05-2014 27 340 21 134 258 14 56 1 7 5 8 4 0 0 0 0 0 0 3 11 0 +10141 1960 Master Divorced 39228 0 0 10-05-2013 1 7 1 6 0 3 3 1 0 0 3 4 0 0 0 0 0 0 3 11 0 +5177 1974 Master Married 58494 0 1 12-12-2013 56 298 7 68 4 0 19 2 6 2 6 6 0 0 0 0 0 0 3 11 0 +7005 1981 Graduation Single 58684 0 0 16-06-2014 71 479 35 179 28 7 85 1 5 3 12 2 0 1 0 0 0 0 3 11 0 +6409 1967 Graduation Divorced 57136 0 0 18-05-2013 18 267 140 599 34 12 127 1 7 5 7 6 0 0 0 0 0 0 3 11 1 +7485 1950 PhD Widow 56551 1 1 07-05-2014 48 67 4 32 17 2 16 3 2 1 4 4 0 0 0 0 0 0 3 11 0 +8079 1982 Graduation Married 22448 1 0 26-02-2014 86 3 1 8 23 2 18 3 2 1 3 3 0 0 0 0 0 0 3 11 0 +8395 1961 Graduation Single 82014 0 0 20-08-2012 48 980 37 265 35 163 31 1 3 6 12 6 0 0 0 0 0 0 3 11 1 +10352 1963 Graduation Widow 34213 1 1 07-09-2012 2 50 4 28 6 3 26 3 3 1 2 9 0 0 0 0 0 0 3 11 1 +4931 1977 Graduation Together 157146 0 0 29-04-2013 13 1 0 1725 2 1 1 0 0 28 0 1 0 0 0 0 0 0 3 11 0 +13 1947 PhD Widow 25358 0 1 22-07-2013 57 19 0 5 0 0 8 2 1 0 3 6 0 0 0 0 0 0 3 11 0 +1834 1978 Master Single 35544 1 0 08-03-2014 77 30 5 23 4 1 4 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +2285 1954 Master Together 36634 0 1 28-05-2013 0 213 9 76 4 3 30 3 5 2 5 7 0 0 0 0 0 0 3 11 0 +2295 1954 PhD Married 62670 0 1 02-02-2014 57 539 30 92 80 46 38 1 5 3 13 3 0 0 0 0 0 0 3 11 0 +1378 1972 2n Cycle Together 50334 0 1 24-07-2013 24 284 16 160 84 16 134 6 7 4 6 6 0 0 0 0 0 0 3 11 0 +2781 1981 Graduation Single 72066 0 0 23-06-2014 55 1003 34 536 134 51 34 1 4 6 6 2 0 0 1 1 0 0 3 11 1 +1165 1958 PhD Single 50729 1 1 02-05-2013 62 239 13 143 45 4 52 9 6 2 7 6 0 0 0 0 0 0 3 11 0 +1404 1968 Graduation Together 34916 2 0 15-05-2013 89 51 23 82 33 0 42 4 5 1 3 9 0 0 0 0 0 0 3 11 0 +6457 1976 Graduation Divorced 64892 0 1 29-05-2014 77 527 24 230 32 24 65 2 6 4 12 4 0 0 0 0 0 0 3 11 0 +2639 1966 Graduation Single 43602 1 1 10-01-2014 45 19 5 12 10 3 19 3 3 1 2 6 0 0 0 0 0 0 3 11 0 +8299 1989 PhD Single 33996 0 0 11-09-2013 46 40 2 15 8 0 6 1 1 1 3 4 0 0 0 0 0 0 3 11 0 +6437 1985 2n Cycle Single 41473 1 0 19-06-2013 80 21 8 20 15 3 9 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +6912 1967 PhD Married 63246 0 2 20-08-2013 60 593 30 91 29 22 7 1 6 3 12 4 0 0 0 0 0 0 3 11 0 +7327 1959 PhD Married 36732 1 1 29-12-2013 71 21 5 3 10 1 7 3 1 1 4 2 0 0 0 0 0 0 3 11 0 +5299 1970 PhD Married 69084 1 0 19-11-2013 43 1181 107 199 39 30 30 2 7 3 13 8 0 0 0 0 0 0 3 11 0 +4127 1967 PhD Married 77766 0 1 22-02-2013 97 1004 59 265 115 59 27 2 11 10 11 6 1 0 0 0 0 0 3 11 1 +8143 1985 PhD Single 37929 0 0 30-07-2013 49 202 2 46 3 2 10 2 4 2 5 7 0 1 0 1 0 0 3 11 1 +1964 1951 Graduation Together 86610 0 0 05-09-2013 66 446 107 768 33 196 53 1 5 6 6 2 0 0 0 0 0 0 3 11 0 +3690 1986 Master Married 80141 0 0 11-01-2013 20 1184 102 673 52 40 40 1 7 4 10 6 0 0 1 0 0 0 3 11 1 +3433 1955 2n Cycle Married 72635 0 0 03-06-2013 54 390 22 323 104 35 107 1 6 8 6 3 0 0 0 1 0 0 3 11 0 +3389 1970 Graduation Married 69016 0 1 22-11-2012 61 726 53 363 123 107 161 4 8 9 13 5 0 0 0 0 0 0 3 11 0 +4712 1991 2n Cycle Together 20193 0 0 28-11-2012 18 8 8 22 24 11 9 1 1 1 4 4 0 0 0 0 0 0 3 11 0 +1170 1975 Graduation Married 27573 1 0 25-03-2013 45 50 15 110 39 15 15 4 5 1 4 8 0 0 0 0 0 0 3 11 0 +6347 1979 Basic Single 15862 1 0 27-06-2013 26 1 1 4 11 9 10 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +4065 1976 PhD Married 49544 1 0 12-02-2013 0 308 0 73 0 0 23 2 5 1 8 7 0 0 0 0 0 0 3 11 0 +8230 1980 Graduation Married 33228 1 0 23-01-2014 28 22 2 31 7 4 5 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +1215 1978 Graduation Together 70440 0 0 08-10-2013 49 690 117 499 76 102 88 1 5 10 7 3 0 0 0 1 0 0 3 11 0 +5939 1971 Graduation Together 38232 1 1 17-01-2014 84 43 5 28 7 6 33 4 3 1 3 5 0 0 0 0 0 0 3 11 0 +2156 1955 PhD Married 22554 1 1 03-11-2012 38 27 0 10 0 0 4 4 2 0 4 5 0 0 0 0 0 0 3 11 0 +7788 1983 PhD Married 23536 1 0 04-06-2014 53 6 0 3 0 0 1 1 0 0 3 3 0 0 0 0 0 0 3 11 0 +10323 1952 Graduation Married 49413 0 1 25-10-2013 88 205 7 41 3 2 46 2 4 2 5 5 0 0 0 0 0 0 3 11 0 +7947 1969 Graduation Married 42231 1 1 25-03-2014 99 24 0 8 0 1 4 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +1891 1980 Master Divorced 78789 0 0 08-08-2012 12 667 50 850 21 83 83 1 4 6 5 2 0 0 0 0 0 0 3 11 1 +2570 1968 Graduation Together 56534 0 1 23-07-2013 35 691 7 61 10 0 46 4 10 4 7 8 0 1 0 0 1 0 3 11 1 +9256 1971 Graduation Single 58350 0 1 04-01-2013 5 493 26 206 116 80 80 4 8 3 12 6 0 0 0 0 0 0 3 11 0 +295 1989 Graduation Single 81217 0 0 19-07-2013 77 493 70 324 146 40 84 1 3 7 11 1 0 0 0 0 0 0 3 11 0 +7397 1951 Graduation Single 49090 0 1 19-07-2013 45 494 5 82 7 0 100 3 7 2 9 7 0 0 0 0 0 0 3 11 0 +6349 1987 Master Divorced 61787 0 0 06-07-2013 71 621 73 414 78 48 85 1 8 4 6 5 0 0 0 0 0 0 3 11 0 +10790 1985 PhD Married 18169 1 0 19-02-2013 40 9 0 5 0 0 7 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +10398 1981 2n Cycle Single 24336 1 0 27-08-2012 82 1 6 2 8 2 12 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +2431 1990 Graduation Married 18222 0 0 31-12-2012 70 12 4 19 12 6 14 1 2 0 3 8 0 0 0 0 0 0 3 11 0 +550 1952 Graduation Divorced 62335 0 1 23-05-2013 87 243 131 217 85 6 26 2 3 3 13 2 0 0 0 0 0 0 3 11 0 +1890 1971 2n Cycle Together 42033 1 1 19-09-2012 95 11 1 4 2 0 7 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +10742 1983 PhD Married 86580 0 0 27-02-2013 72 532 21 127 26 20 20 0 4 2 5 1 0 0 1 0 0 0 3 11 0 +10356 1957 PhD Divorced 41437 1 1 22-09-2012 5 29 0 2 0 0 1 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +4676 1951 Master Widow 73705 0 2 05-03-2014 86 612 91 520 258 107 107 2 9 6 8 5 0 0 0 0 0 0 3 11 0 +8852 1976 Graduation Married 61064 0 1 31-08-2012 80 387 126 342 0 45 180 5 8 4 11 6 0 0 0 0 0 0 3 11 0 +3565 1955 Master Married 38452 1 1 30-03-2014 62 56 0 14 0 0 2 3 3 0 3 7 0 0 0 0 0 0 3 11 0 +5294 1989 Graduation Single 18358 1 0 20-11-2013 49 6 8 19 16 4 4 3 3 0 4 7 0 0 0 0 0 0 3 11 0 +1958 1973 PhD Together 55012 0 1 21-03-2014 85 582 0 65 0 0 13 6 8 2 9 5 0 0 0 0 0 0 3 11 0 +7349 1973 Basic Together 9722 1 0 02-10-2012 7 6 17 16 6 16 42 4 3 1 3 8 0 0 0 0 0 0 3 11 1 +8799 1984 PhD Married 38175 1 0 23-09-2013 6 70 6 69 2 3 3 3 3 1 4 7 0 0 0 0 0 0 3 11 0 +1351 1956 Master Together 58656 0 1 20-09-2012 25 962 12 194 16 24 12 4 7 8 13 6 0 0 1 0 0 0 3 11 0 +1045 1965 Graduation Together 52117 0 1 16-08-2012 55 112 10 107 30 0 20 2 5 2 4 7 0 0 0 0 0 0 3 11 0 +7732 1978 Graduation Married 64813 1 0 02-01-2014 81 293 0 124 179 97 52 1 7 2 10 5 0 0 0 0 0 0 3 11 0 +8070 1973 PhD Married 54222 0 1 01-03-2014 98 199 12 31 3 12 7 1 3 3 5 3 0 0 0 0 0 0 3 11 0 +477 1986 Graduation Married 83512 0 0 17-06-2014 31 1060 61 835 80 20 101 1 4 7 10 1 1 0 1 1 1 0 3 11 1 +7832 1959 Master Married 77520 0 1 28-08-2013 30 940 44 396 0 88 58 1 8 7 7 4 1 0 1 1 0 0 3 11 1 +2202 1978 Graduation Together 41154 0 1 09-04-2013 98 44 2 11 2 3 7 1 1 0 4 5 0 0 0 0 0 0 3 11 0 +7396 1966 Graduation Married 80398 0 0 10-11-2012 92 342 51 936 207 35 26 1 5 8 12 3 0 0 1 0 0 0 3 11 0 +4055 1992 Basic Single 18746 1 0 29-05-2014 41 2 10 11 12 9 20 2 3 0 3 6 0 0 0 0 0 0 3 11 0 +10340 1984 Graduation Together 35196 1 0 13-11-2012 68 75 12 141 43 39 187 6 6 1 5 8 0 0 0 0 0 0 3 11 0 +10091 1956 Graduation Single 60230 0 1 20-05-2013 78 520 20 367 39 81 40 2 6 3 6 5 0 0 0 0 0 0 3 11 0 +7629 1977 Graduation Married 22108 1 1 08-05-2014 46 5 3 9 6 2 6 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +10640 1974 Graduation Together 44392 1 1 05-09-2013 71 87 5 71 7 12 29 5 4 1 4 7 0 0 0 0 0 0 3 11 0 +3498 1976 PhD Married 55424 0 1 25-11-2012 6 462 61 184 10 53 107 4 7 5 9 6 1 0 0 0 0 0 3 11 1 +6742 1979 Graduation Married 17688 1 0 13-01-2013 82 2 2 1 3 1 2 1 1 0 2 8 0 0 0 0 0 1 3 11 0 +1172 1983 PhD Married 92491 0 0 01-05-2013 71 979 44 935 29 25 22 1 7 5 12 3 0 1 1 1 0 0 3 11 1 +569 1991 Graduation Single 90273 0 0 14-12-2013 32 704 129 853 120 74 111 1 5 6 7 2 0 1 1 1 0 0 3 11 1 +4686 1962 PhD Widow 82571 0 0 02-04-2014 28 861 31 558 62 95 79 0 6 5 13 2 0 0 1 0 0 0 3 11 0 +1381 1982 PhD Single 38513 1 0 28-01-2014 20 172 3 115 16 0 18 5 6 1 5 8 0 0 0 0 0 0 3 11 1 +2634 1979 Master Single 16653 1 0 18-04-2014 10 5 7 31 15 4 7 3 2 1 3 6 0 0 0 0 0 0 3 11 1 +10905 1955 Graduation Together 42586 1 1 29-10-2012 7 194 2 56 0 0 0 5 4 1 6 8 0 0 0 0 0 0 3 11 1 +1744 1965 Basic Single 23529 0 1 07-01-2013 67 9 7 13 3 2 20 1 1 1 2 6 0 0 0 0 0 0 3 11 0 +1000 1961 Master Together 74881 1 1 08-03-2013 48 505 72 270 36 27 54 4 9 2 12 5 0 0 0 0 0 0 3 11 0 +3828 1951 Graduation Married 71107 0 1 17-02-2013 61 533 10 217 198 174 195 2 7 6 13 4 0 0 0 0 0 0 3 11 0 +8605 1964 PhD Together 46910 1 1 23-03-2014 36 48 0 14 0 0 6 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +10304 1959 Graduation Married 18690 0 0 28-12-2012 77 6 1 7 23 4 19 1 1 1 2 8 0 0 0 0 0 0 3 11 0 +4351 1955 Graduation Divorced 37244 1 1 27-04-2013 90 18 2 10 0 0 25 1 1 1 2 7 1 0 0 0 0 0 3 11 0 +10129 1966 Graduation Together 82427 0 0 12-03-2014 35 482 147 509 104 107 107 1 3 5 12 1 0 0 1 0 0 0 3 11 0 +2499 1958 2n Cycle Single 75342 0 1 06-05-2013 38 204 97 97 21 118 26 1 5 2 10 4 0 0 0 0 0 0 3 11 0 +10092 1954 Graduation Divorced 70044 0 1 18-02-2013 46 1073 0 250 153 14 14 4 7 10 5 5 0 0 0 0 0 0 3 11 0 +7500 1967 Graduation Single 79146 1 1 24-04-2014 33 245 16 223 21 43 16 2 8 1 8 6 0 0 0 0 0 0 3 11 0 +5796 1963 Graduation Married 77437 0 0 26-11-2013 70 560 21 442 29 44 29 1 4 5 13 1 0 0 1 0 0 0 3 11 0 +10556 1959 Graduation Married 54984 0 1 24-05-2014 51 173 13 131 32 3 6 4 6 1 6 7 0 0 0 1 0 0 3 11 0 +1064 1971 PhD Married 42403 1 0 11-12-2013 18 22 1 11 0 5 3 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +48 1964 Graduation Together 55761 0 1 24-04-2014 97 136 1 12 0 3 32 2 4 1 3 6 0 1 0 0 0 0 3 11 0 +7610 1983 Graduation Together 37292 1 0 18-04-2013 32 275 0 86 10 23 66 5 6 3 5 8 0 0 0 0 0 0 3 11 0 +263 1945 PhD Single 45576 0 0 28-05-2014 9 56 19 29 2 14 25 1 3 1 3 8 0 0 0 0 0 0 3 11 1 +10814 1947 Graduation Together 70321 0 0 16-01-2013 6 303 23 751 82 26 191 1 6 5 13 4 0 0 0 0 0 0 3 11 1 +9710 1969 PhD Divorced 58086 0 1 20-01-2013 80 708 7 62 0 0 15 2 11 3 7 8 0 0 0 0 0 0 3 11 0 +9292 1952 Graduation Married 81795 0 0 26-10-2012 74 324 132 693 27 118 88 1 4 11 7 2 0 0 0 0 0 0 3 11 0 +10250 1947 Basic Together 28389 0 0 20-11-2012 49 1 5 3 7 4 8 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +7881 1946 Master Married 66835 0 0 28-09-2013 21 620 26 195 34 17 141 1 6 4 13 2 0 0 0 0 0 0 3 11 0 +5847 1969 Graduation Divorced 69901 0 1 29-05-2013 95 312 21 206 102 92 149 3 7 3 10 5 0 0 0 0 0 0 3 11 0 +737 1949 PhD Married 80360 0 0 03-03-2013 56 1493 86 454 112 43 43 2 4 4 5 2 0 1 1 1 0 0 3 11 0 +3571 1961 PhD Together 63342 0 1 16-10-2012 48 918 21 118 13 10 21 3 8 3 5 6 0 1 0 0 0 0 3 11 1 +7807 1974 Graduation Married 44989 0 1 12-09-2012 26 98 0 106 49 10 106 5 5 1 5 6 0 0 0 0 0 0 3 11 0 +3878 1980 2n Cycle Single 31859 1 0 27-02-2014 3 3 4 7 15 8 11 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +5092 1949 PhD Widow 51569 0 1 12-02-2013 39 380 0 47 6 0 34 4 7 1 7 8 0 1 0 0 0 0 3 11 1 +2154 1971 Graduation Widow 30372 1 1 25-12-2012 33 15 0 12 7 3 7 3 2 0 3 7 0 0 0 0 0 0 3 11 0 +5394 1979 Basic Single 16014 1 1 17-03-2013 42 3 9 4 7 8 7 4 1 1 4 3 0 0 0 0 0 0 3 11 0 +3798 1968 Graduation Married 41120 1 1 06-11-2013 80 24 2 23 0 8 24 3 2 1 3 6 0 0 0 0 0 0 3 11 0 +3524 1971 Master Single 39763 1 0 04-08-2013 9 80 1 60 4 6 16 2 5 1 2 9 0 0 0 0 0 0 3 11 1 +5247 1955 PhD Married 38725 1 1 10-05-2014 52 31 0 6 2 1 5 2 1 0 4 4 0 0 0 0 0 0 3 11 0 +5883 1972 Graduation Married 77981 1 0 26-05-2013 78 138 120 204 16 126 60 3 7 4 7 5 0 0 0 0 0 0 3 11 0 +2118 1964 2n Cycle Married 62905 0 1 10-09-2013 68 166 75 96 119 107 59 3 7 2 8 4 0 0 0 0 0 0 3 11 0 +8812 1979 2n Cycle Divorced 13533 1 0 10-03-2013 45 12 3 8 8 0 17 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +6616 1975 Graduation Together 59481 0 1 23-10-2013 47 178 3 85 71 66 58 2 3 3 8 2 0 0 0 0 0 0 3 11 0 +2797 1977 Graduation Married 72117 0 1 20-08-2013 34 707 20 171 65 60 50 1 9 7 9 5 0 0 0 0 0 0 3 11 0 +4328 1986 2n Cycle Married 21955 1 0 07-09-2013 81 5 1 7 17 14 11 2 2 1 3 6 0 0 0 0 0 0 3 11 0 +9167 1956 Graduation Married 67131 0 1 26-03-2013 72 465 71 250 93 35 62 3 9 2 12 6 0 0 0 0 0 0 3 11 0 +10560 1980 PhD Single 36802 1 0 16-06-2014 23 16 1 2 0 0 1 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +2631 1982 Graduation Together 71853 0 0 08-05-2013 29 358 108 413 141 97 32 1 2 8 6 1 0 0 0 0 0 0 3 11 0 +8312 1961 Basic Married 28249 0 0 15-06-2014 80 1 9 7 2 14 10 1 2 0 3 6 0 0 0 0 0 0 3 11 0 +5534 1975 Master Married 47808 0 1 20-10-2013 30 123 1 26 2 0 72 2 3 2 3 7 1 0 0 0 0 0 3 11 0 +5093 1974 PhD Divorced 25509 1 0 18-09-2012 15 40 3 30 10 7 11 3 3 0 3 9 0 0 0 0 0 0 3 11 1 +7592 1946 PhD Married 51012 0 0 18-04-2013 86 102 9 63 2 9 24 1 4 1 4 6 0 0 0 0 0 0 3 11 0 +8895 1985 Graduation Single 70596 0 0 05-10-2012 68 347 44 534 17 0 26 1 3 5 12 2 0 0 0 0 0 0 3 11 0 +8584 1952 PhD Together 85431 0 0 08-06-2013 54 376 53 462 168 53 53 1 2 7 7 0 0 0 0 0 0 0 3 11 0 +2694 1967 Graduation Married 42664 0 1 18-03-2014 44 21 0 3 0 0 0 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +8910 1955 Graduation Together 42586 1 1 29-10-2012 7 194 2 56 0 0 0 5 4 1 6 8 0 0 0 0 0 0 3 11 1 +7433 1985 Graduation Single 29760 1 0 29-08-2012 87 64 4 68 7 5 17 4 3 1 4 8 0 0 0 0 0 0 3 11 0 +164 1977 PhD Married 28973 0 0 13-10-2012 59 206 0 46 3 2 12 2 5 1 5 8 0 0 0 0 0 0 3 11 0 +10477 1973 PhD Together 39435 1 0 06-08-2013 16 71 0 18 0 0 13 1 3 1 2 7 0 0 0 0 0 0 3 11 0 +2681 1984 2n Cycle Married 65370 0 0 01-08-2013 1 71 22 112 138 89 29 1 2 3 13 1 0 0 0 0 0 0 3 11 0 +5150 1979 Basic Single 20194 1 0 17-12-2012 64 0 4 7 11 10 15 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +5283 1976 PhD Single 42473 1 1 17-02-2014 72 93 1 21 0 4 25 3 2 1 4 5 0 0 0 0 0 0 3 11 0 +9645 1968 Graduation Married 64590 0 0 14-10-2012 98 920 138 168 36 46 30 1 9 4 10 6 0 0 0 0 0 0 3 11 0 +10678 1959 Graduation Together 71232 0 1 28-11-2013 91 653 17 170 34 26 17 2 11 2 10 7 0 0 0 0 0 0 3 11 0 +7261 1971 Graduation Together 34600 1 1 01-01-2013 8 199 33 60 8 3 15 5 5 2 5 8 0 0 0 0 0 0 3 11 1 +9648 1967 Graduation Single 46904 1 1 03-11-2012 20 153 4 56 0 9 31 4 5 1 4 8 0 0 0 0 0 0 3 11 0 +2870 1973 Graduation Married 49094 0 1 21-09-2012 6 376 0 38 11 8 69 5 6 3 6 6 0 0 0 0 0 0 3 11 0 +8008 1983 Graduation Together 36075 1 0 09-12-2013 54 46 0 30 12 1 30 1 2 0 4 6 0 0 0 0 0 0 3 11 0 +1513 1979 2n Cycle Together 60839 1 1 28-08-2012 72 600 21 128 223 150 128 13 2 2 12 8 0 0 0 0 0 0 3 11 0 +6173 1979 Graduation Together 77298 0 1 02-11-2013 46 425 115 292 23 35 79 1 6 6 11 3 0 0 0 0 0 0 3 11 0 +1419 1950 Graduation Together 34026 1 1 05-08-2013 11 18 6 15 12 8 17 3 2 1 3 5 0 0 0 0 0 0 3 11 0 +9150 1963 PhD Single 48918 1 1 12-04-2014 21 52 0 9 0 0 1 2 1 0 4 4 0 0 0 0 0 0 3 11 0 +7960 1962 2n Cycle Together 82122 0 0 15-08-2013 89 734 22 350 151 25 100 1 3 9 13 1 0 0 1 0 0 0 3 11 0 +1250 1976 Graduation Single 37697 1 0 07-02-2014 82 34 6 21 11 4 8 1 2 1 3 6 0 0 0 0 0 0 3 11 0 +9905 1952 Graduation Together 34074 1 1 13-07-2013 69 135 1 41 10 1 67 5 3 3 3 6 1 0 0 0 0 0 3 11 0 +10691 1960 Master Married 28520 1 1 14-06-2013 55 11 0 10 0 2 20 1 1 1 2 6 0 0 0 0 0 0 3 11 0 +7002 1955 Graduation Single 62535 0 1 03-10-2013 13 163 48 90 0 45 52 1 3 2 8 3 0 0 0 0 0 0 3 11 0 +2952 1977 Master Single 36273 1 0 16-04-2014 80 29 3 30 3 2 9 2 3 0 3 6 0 0 0 0 0 0 3 11 0 +8439 1964 Graduation Together 63404 0 2 06-06-2014 97 734 26 70 11 44 17 2 6 3 4 4 0 0 0 1 0 0 3 11 0 +762 1981 2n Cycle Together 75774 1 0 02-05-2014 27 340 21 134 258 14 56 1 7 5 8 4 0 0 0 0 0 0 3 11 0 +2831 1976 Graduation Together 78416 0 1 27-06-2014 99 453 38 279 188 38 183 2 7 7 10 3 0 0 0 0 0 0 3 11 0 +6977 1974 Graduation Together 75702 0 1 14-10-2012 87 1073 0 629 145 37 37 1 10 5 13 6 0 0 1 0 0 0 3 11 0 +6289 1951 Master Together 59385 1 1 28-04-2013 85 135 0 10 0 4 36 2 3 1 4 5 0 0 0 0 0 0 3 11 0 +4168 1966 Graduation Single 37070 1 1 20-03-2013 30 231 7 137 4 15 39 9 5 1 8 7 0 0 0 0 0 0 3 11 1 +8397 1951 Graduation Married 44689 1 1 10-01-2014 82 18 0 5 0 0 11 2 1 1 2 7 1 0 0 0 0 0 3 11 0 +9284 1958 Graduation Together 53977 0 1 08-06-2013 21 620 16 165 0 24 82 5 5 5 12 5 0 0 0 0 0 0 3 11 0 +6237 1966 PhD Single 7144 0 2 07-12-2013 92 81 4 33 5 2 291 0 23 1 1 0 0 0 0 0 0 0 3 11 0 +3130 1964 Graduation Single 18701 1 1 04-06-2013 95 12 4 2 10 6 10 4 2 0 4 5 0 0 0 0 0 0 3 11 0 +1619 1956 Graduation Married 90369 0 0 28-04-2014 2 292 51 981 224 23 17 1 4 6 6 1 0 0 0 0 0 0 3 11 1 +1990 1974 PhD Single 63159 0 0 05-11-2012 74 965 34 586 89 86 37 1 3 5 8 3 1 0 0 0 0 0 3 11 0 +5513 1966 Graduation Together 37758 1 1 04-10-2012 49 27 2 10 0 0 1 2 1 0 3 8 0 0 0 0 0 0 3 11 0 +269 1963 PhD Single 46757 0 1 16-11-2012 71 777 30 163 0 51 122 6 4 4 7 9 0 0 0 0 0 0 3 11 0 +8093 1969 Master Married 79734 0 0 28-06-2014 72 572 8 232 23 62 17 1 4 3 6 1 0 0 0 1 0 0 3 11 0 +10513 1992 Graduation Together 63207 0 0 20-01-2013 68 438 169 565 91 169 70 1 2 3 6 7 0 0 0 1 0 0 3 11 0 +10177 1954 Graduation Divorced 72071 0 1 14-02-2013 4 531 69 300 150 138 150 3 5 4 8 2 0 0 0 0 0 0 3 11 0 +2549 1983 PhD Together 21840 1 0 21-07-2013 80 17 0 9 0 0 1 1 1 0 3 9 0 0 0 0 0 0 3 11 0 +5782 1982 2n Cycle Together 58582 0 1 28-09-2013 15 402 35 106 101 77 42 2 9 2 9 5 0 1 0 0 0 0 3 11 0 +10057 1951 Graduation Single 72282 0 0 19-07-2013 70 503 27 419 90 139 153 1 5 7 9 7 0 0 0 0 0 0 3 11 1 +10307 1956 Graduation Married 50387 0 2 31-08-2013 91 369 9 87 12 14 34 3 6 2 8 5 0 0 0 0 0 0 3 11 0 +8566 1961 PhD Together 32583 1 1 15-06-2014 10 5 0 3 0 0 1 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +2415 1962 Graduation Together 62568 0 1 07-04-2014 99 362 17 398 80 35 61 3 5 3 5 4 0 0 0 1 0 0 3 11 0 +5684 1971 Master Divorced 44635 1 1 11-10-2013 25 56 0 9 0 0 3 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +8334 1971 Master Single 33316 1 1 04-10-2013 34 79 1 31 4 4 12 3 2 1 4 6 0 0 0 0 0 0 3 11 0 +9166 1968 Graduation Married 63967 0 1 09-08-2013 57 387 84 141 73 35 162 3 4 4 12 2 0 0 0 0 0 0 3 11 0 +1440 1978 2n Cycle Together 52513 0 0 04-09-2012 84 367 17 241 104 188 232 2 9 5 9 7 0 0 0 0 0 0 3 11 0 +78 1969 Graduation Married 25293 1 0 15-09-2013 51 15 0 11 0 2 9 1 1 1 2 8 0 0 0 0 0 0 3 11 0 +5441 1965 PhD Widow 54111 0 1 25-08-2013 97 267 6 54 8 3 50 2 5 2 6 5 0 0 0 0 0 0 3 11 0 +5302 1986 Graduation Together 78394 0 0 15-02-2013 13 298 27 697 216 24 166 1 4 6 5 2 0 0 0 0 0 0 3 11 1 +4687 1958 Master Married 80739 0 0 23-05-2013 92 674 92 736 39 0 92 1 3 11 9 1 0 0 0 0 0 0 3 11 0 +1087 1975 Master Together 22669 1 0 22-05-2013 30 16 14 36 37 22 48 3 4 1 2 9 0 0 0 0 0 0 3 11 1 +6859 1987 Graduation Single 29236 1 0 08-10-2013 30 37 4 24 16 9 9 2 4 0 3 9 0 0 0 0 0 0 3 11 0 +9860 1959 Graduation Together 44911 0 1 15-03-2013 11 159 0 22 2 1 31 3 4 1 4 7 0 0 0 0 0 0 3 11 0 +7129 1962 PhD Married 54693 0 1 17-02-2013 72 686 17 142 23 26 35 8 6 4 13 6 0 0 0 0 0 0 3 11 0 +5866 1974 Graduation Together 48186 1 0 20-03-2014 39 97 3 66 12 7 34 3 4 1 4 7 0 0 0 0 0 0 3 11 0 +10521 1977 Graduation Married 54809 1 1 11-09-2013 0 63 6 57 13 13 22 4 2 1 5 4 0 0 0 0 0 0 3 11 1 +7393 1978 Graduation Together 41580 1 1 10-12-2012 15 56 5 24 4 0 3 3 2 1 3 5 0 0 0 0 0 0 3 11 0 +7849 1970 PhD Married 80336 0 0 09-09-2013 12 209 19 456 160 142 66 1 2 9 13 1 0 0 0 0 0 0 3 11 0 +332 1957 Graduation Married 47743 0 1 22-03-2013 56 198 2 43 0 12 20 3 4 1 6 6 0 1 0 0 0 0 3 11 0 +9847 1955 2n Cycle Married 62972 0 1 03-08-2012 39 313 15 47 20 0 192 2 7 4 3 6 0 0 0 0 0 0 3 11 0 +531 1954 PhD Divorced 57333 0 1 22-09-2012 55 941 14 397 76 58 176 11 8 5 9 6 0 0 0 0 0 0 3 11 1 +9576 1982 PhD Together 32313 1 0 11-02-2013 60 86 4 56 2 4 7 3 4 0 4 9 0 0 0 0 0 0 3 11 0 +6906 1953 Master Widow 84953 0 0 03-06-2013 73 167 48 602 63 72 72 1 3 10 4 2 0 1 1 1 0 0 3 11 1 +7419 1968 Master Divorced 27071 1 0 23-04-2014 90 8 3 19 0 2 3 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +3170 1957 Master Together 68148 0 0 31-08-2013 86 389 66 408 37 57 85 1 4 4 6 2 0 0 0 0 0 0 3 11 0 +8527 1965 Master Together 65735 1 1 07-12-2013 37 239 7 119 4 15 11 5 6 2 6 7 0 0 0 0 0 0 3 11 0 +7872 1975 PhD Married 86836 0 0 12-09-2012 7 179 21 273 0 21 63 1 6 10 6 5 1 0 1 1 0 0 3 11 1 +9931 1963 PhD Married 4023 1 1 23-06-2014 29 5 0 1 1 1 1 15 0 0 0 19 0 0 0 0 0 0 3 11 0 +10595 1990 Graduation Married 30093 0 0 08-07-2013 19 2 6 28 13 4 16 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +4609 1966 PhD Married 57705 0 1 11-01-2014 14 383 0 53 6 4 40 3 8 1 6 6 0 0 0 0 0 0 3 11 0 +5010 1988 Graduation Single 25008 1 0 02-02-2014 72 2 8 8 6 1 9 2 1 0 3 8 0 0 0 0 0 0 3 11 0 +4427 1995 2n Cycle Single 83257 0 0 18-09-2012 56 536 27 590 38 107 67 1 5 10 12 6 1 0 1 0 0 1 3 11 1 +11148 1975 Graduation Together 22280 1 0 19-05-2013 85 2 1 4 3 1 2 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +1168 1978 PhD Married 72159 0 0 29-10-2012 62 322 53 899 34 40 53 1 4 6 10 2 0 0 0 0 0 0 3 11 0 +9595 1961 Graduation Together 64260 0 0 11-01-2013 1 539 169 816 20 0 30 1 4 5 4 3 0 0 0 0 0 0 3 11 1 +10163 1984 PhD Single 82733 0 0 10-09-2013 28 712 50 420 65 38 38 1 8 4 7 4 0 0 0 0 0 0 3 11 1 +2886 1971 Master Divorced 74290 0 1 12-08-2013 70 1121 0 72 0 12 12 4 10 8 10 6 0 1 0 1 0 0 3 11 0 +6710 1951 Master Single 58217 2 1 17-11-2012 84 68 1 13 3 5 13 1 2 0 4 6 0 0 0 0 0 0 3 11 0 +5316 1976 Master Together 21024 0 0 04-07-2013 89 36 4 18 6 2 18 1 2 0 4 7 0 0 0 0 0 0 3 11 0 +9029 1972 PhD Married 70116 0 0 26-01-2013 73 707 44 603 95 58 29 1 2 8 12 1 0 0 0 0 0 0 3 11 0 +521 1985 Graduation Together 54006 1 0 18-09-2012 42 174 77 203 6 24 97 2 8 1 7 7 0 0 0 0 0 0 3 11 0 +1459 1966 PhD Married 69063 0 1 07-11-2012 16 666 35 124 69 8 26 1 5 3 5 3 0 0 0 0 0 0 3 11 0 +10241 1975 2n Cycle Divorced 11448 0 0 15-12-2013 16 0 0 0 6 2 6 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +1630 1979 Graduation Single 61825 0 1 07-08-2013 56 162 50 100 55 30 27 1 4 2 8 4 0 0 0 0 0 0 3 11 0 +3254 1971 Graduation Married 70886 1 0 14-10-2013 65 407 70 239 103 88 53 1 5 4 4 2 0 0 0 0 0 0 3 11 0 +9064 1982 Graduation Married 69109 0 0 09-11-2012 10 823 25 459 124 29 95 1 6 6 7 4 0 0 1 0 0 0 3 11 1 +3678 1973 Graduation Widow 60208 1 1 07-10-2012 13 488 23 71 15 0 59 11 8 3 7 7 0 1 0 0 0 0 3 11 1 +4227 1968 Master Together 32889 1 1 06-09-2013 78 28 0 13 4 2 8 3 2 1 3 5 0 0 0 0 0 0 3 11 0 +9467 1984 Graduation Single 34738 1 0 11-05-2014 51 3 2 10 3 0 2 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +8486 1971 Master Together 30538 1 0 01-10-2012 27 284 0 52 8 3 20 4 9 0 4 10 0 0 0 0 0 0 3 11 0 +2186 1977 2n Cycle Together 82326 0 0 10-03-2014 30 938 142 754 159 81 183 1 5 10 6 2 0 1 1 1 0 0 3 11 1 +3286 1967 PhD Divorced 26642 1 0 01-03-2014 71 13 2 15 2 2 8 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +8602 1964 Graduation Divorced 69932 0 1 12-06-2013 97 412 172 153 150 105 57 2 7 6 11 4 0 0 0 0 0 0 3 11 0 +3722 1972 Graduation Single 44503 1 1 16-04-2014 83 31 1 8 0 0 8 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +6715 1948 PhD Single 60200 0 1 02-01-2013 3 502 19 132 0 6 26 6 6 2 11 6 0 0 0 0 0 0 3 11 0 +4796 1952 Graduation Divorced 49638 0 1 19-04-2014 71 18 10 3 3 5 0 1 1 0 3 2 0 0 0 0 0 0 3 11 0 +9612 1987 2n Cycle Single 23830 0 0 07-02-2014 3 1 8 6 4 8 16 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +3766 1959 Master Widow 33051 0 0 16-08-2012 15 100 71 243 108 94 219 3 9 1 8 9 0 0 0 0 0 0 3 11 1 +1399 1958 Graduation Married 72905 0 0 21-01-2014 52 407 114 445 181 165 203 1 3 7 9 1 0 0 0 1 0 0 3 11 0 +1570 1951 PhD Together 69702 0 1 19-02-2013 8 664 9 240 50 19 57 2 7 7 10 4 0 0 0 0 0 0 3 11 0 +3426 1975 Graduation Divorced 70300 1 0 15-07-2013 89 1045 61 338 60 46 46 3 5 5 13 8 0 0 0 0 0 0 3 11 0 +3074 1984 PhD Married 70643 0 0 15-10-2012 66 1218 107 304 23 143 33 1 5 8 4 6 0 0 0 0 0 0 3 11 1 +8341 1969 PhD Married 30396 1 0 30-04-2014 22 15 0 6 0 1 12 2 1 1 2 7 1 0 0 0 0 0 3 11 1 +5180 1968 PhD Divorced 50616 0 1 18-04-2014 56 128 0 16 0 1 4 2 4 0 4 7 0 0 0 0 0 0 3 11 0 +6461 1969 Master Single 62772 0 1 19-05-2013 74 581 49 157 43 8 108 1 5 6 11 2 0 1 0 0 0 0 3 11 0 +7679 1985 PhD Single 30298 0 0 19-05-2014 48 6 3 12 6 1 0 1 1 1 3 3 0 0 0 0 0 0 3 11 0 +10702 1984 Graduation Single 52413 1 0 03-11-2012 67 185 8 133 56 56 12 2 7 1 7 7 0 0 0 0 0 0 3 11 0 +7505 1957 PhD Married 44155 1 1 19-01-2014 24 22 1 9 0 0 14 1 1 1 2 4 0 0 0 0 0 0 3 11 0 +5113 1971 PhD Divorced 86979 0 0 07-11-2013 67 584 100 835 65 83 35 1 5 5 5 2 1 0 0 0 0 0 3 11 1 +10858 1975 Graduation Together 76532 1 1 09-09-2013 38 355 30 177 90 138 30 4 9 5 7 5 0 0 0 0 0 0 3 11 0 +2961 1982 Graduation Married 42081 1 0 26-02-2013 86 175 10 110 54 6 27 2 6 3 4 6 1 0 0 0 0 0 3 11 0 +2747 1988 PhD Married 67546 0 0 31-08-2012 90 864 134 768 150 38 172 1 4 10 5 3 0 0 0 0 0 0 3 11 0 +3010 1989 Master Together 88420 0 0 02-05-2014 87 957 153 612 99 95 153 1 4 7 8 1 1 0 1 1 0 0 3 11 0 +5790 1985 Graduation Married 31158 1 0 27-01-2013 62 25 6 16 20 0 5 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +6892 1968 Graduation Divorced 61671 0 1 03-06-2014 23 641 7 56 0 0 28 8 10 4 6 8 0 1 0 1 0 0 3 11 0 +1743 1974 Graduation Single 69719 0 0 26-05-2014 99 273 86 208 177 14 43 1 2 3 5 1 0 0 0 0 0 0 3 11 0 +3578 1949 Graduation Divorced 49160 0 1 20-10-2013 29 122 21 43 25 10 15 2 3 1 6 6 0 0 0 0 0 0 3 11 0 +8462 1978 Basic Together 24882 1 0 09-09-2012 52 1 4 10 29 0 36 1 1 1 2 6 1 0 0 0 0 0 3 11 0 +5558 1954 PhD Single 90933 0 0 31-03-2014 90 1020 31 430 62 63 79 1 4 6 4 1 0 0 1 0 0 0 3 11 0 +4619 1945 PhD Single 113734 0 0 28-05-2014 9 6 2 3 1 262 3 0 27 0 0 1 0 0 0 0 0 0 3 11 0 +8780 1950 PhD Together 59292 0 1 13-06-2013 71 378 14 68 19 14 14 2 3 5 8 3 0 0 0 0 0 0 3 11 0 +10789 1964 PhD Married 45759 1 1 23-02-2013 13 42 1 18 3 0 4 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +10779 1983 Graduation Single 22148 0 0 13-04-2014 16 15 5 14 0 4 11 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +5896 1987 Master Married 73395 0 0 18-03-2014 94 272 7 80 20 7 11 1 4 4 6 2 0 0 0 0 0 0 3 11 0 +2337 1971 Graduation Divorced 29819 1 0 24-10-2013 77 9 1 24 2 1 2 3 3 0 3 6 0 0 0 0 0 0 3 11 0 +10951 1968 Graduation Married 45688 0 1 25-01-2014 20 279 0 18 0 0 9 2 3 1 8 4 0 1 0 0 0 0 3 11 0 +544 1954 Graduation Married 62820 0 0 11-05-2013 51 398 61 265 138 61 53 1 3 4 6 1 0 0 0 0 0 0 3 11 0 +17 1971 PhD Married 60491 0 1 06-09-2013 81 637 47 237 12 19 76 4 6 11 7 5 0 0 0 0 0 0 3 11 0 +10680 1986 Graduation Together 33235 1 0 05-02-2014 71 45 0 16 2 1 6 1 3 0 3 7 0 0 0 0 0 0 3 11 0 +3265 1959 Graduation Married 35701 0 0 19-03-2013 36 21 1 9 7 3 5 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +5623 1980 Master Married 31535 1 0 26-09-2013 95 15 4 13 0 0 19 1 1 1 2 7 1 0 0 0 0 0 3 11 0 +5832 1960 2n Cycle Together 92556 0 0 20-04-2014 32 493 183 352 184 23 28 0 3 5 13 0 0 0 0 0 0 0 3 11 0 +5544 1970 Graduation Single 67384 0 1 10-11-2012 32 957 40 175 158 53 107 2 7 8 5 5 0 1 0 0 0 0 3 11 0 +6417 1971 Master Together 80573 0 0 14-10-2012 85 829 138 430 60 92 15 1 4 6 13 2 0 0 0 0 0 0 3 11 0 +5831 1967 Graduation Married 77870 0 1 22-08-2012 93 1017 50 500 65 50 133 3 5 5 5 8 0 1 0 1 0 0 3 11 1 +7101 1963 PhD Widow 52278 0 1 25-01-2013 24 953 0 71 0 0 174 6 10 5 10 8 0 0 0 0 0 0 3 11 0 +10176 1968 Graduation Single 57107 0 1 24-08-2012 44 159 0 120 0 0 137 7 4 4 8 8 0 1 0 0 1 0 3 11 1 +2326 1990 Graduation Married 18929 0 0 16-02-2013 15 32 0 8 23 4 18 1 1 0 4 6 0 0 0 0 0 0 3 11 0 +4385 1981 PhD Single 36038 1 0 31-05-2013 82 23 0 15 0 2 7 2 3 0 3 6 0 0 0 0 0 0 3 11 0 +2929 1976 Graduation Single 20180 0 0 20-02-2013 27 18 42 24 15 20 18 1 2 1 4 7 0 0 0 0 0 0 3 11 0 +10686 1965 PhD Together 34230 1 1 26-12-2012 72 15 0 4 0 0 2 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +2546 1977 2n Cycle Single 31878 0 1 22-06-2014 7 23 4 5 10 5 23 1 1 0 4 3 0 0 0 0 0 0 3 11 0 +3283 1972 2n Cycle Married 70932 0 1 19-01-2014 57 200 193 100 46 185 185 2 6 2 12 3 0 0 0 0 0 0 3 11 0 +3138 1956 Graduation Single 91249 0 0 20-10-2012 84 1324 27 119 71 108 27 0 7 9 6 4 0 1 1 1 1 0 3 11 1 +4994 1943 Master Single 77598 0 0 01-10-2013 53 1193 33 281 129 66 33 1 7 5 13 3 0 0 1 0 0 0 3 11 0 +7966 1959 Graduation Single 80982 1 1 08-01-2013 48 505 137 401 104 22 22 3 11 5 11 5 0 0 0 0 0 1 3 11 0 +3112 1977 Master Married 22701 1 0 05-09-2013 2 2 4 9 0 4 5 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +10872 1969 PhD Married 55212 0 1 23-11-2012 65 1103 0 45 0 0 34 3 4 2 11 8 0 1 0 0 1 0 3 11 0 +2181 1970 Graduation Married 70617 0 0 23-06-2013 45 353 61 753 40 46 27 1 3 3 7 2 0 0 0 0 0 0 3 11 0 +1867 1957 Graduation Single 64849 0 0 13-11-2012 42 652 48 350 94 84 108 1 9 3 6 5 0 0 0 0 0 0 3 11 1 +1518 1965 Master Married 62694 1 1 17-06-2013 29 379 6 157 25 91 91 5 9 3 7 7 0 0 0 0 0 0 3 11 0 +5734 1974 PhD Married 61917 1 1 20-11-2013 83 46 4 36 2 2 1 1 2 0 4 5 0 0 0 0 0 0 3 11 0 +2878 1947 PhD Married 67472 0 1 28-09-2013 93 162 31 127 8 17 69 2 4 2 7 3 0 0 0 0 0 0 3 11 0 +1458 1982 Master Married 21059 1 0 07-01-2014 40 8 3 19 3 3 8 3 3 0 3 6 0 0 0 0 0 0 3 11 0 +7007 1968 Master Married 29543 2 0 01-04-2014 47 17 3 18 3 4 18 2 3 1 2 7 0 0 0 0 0 0 3 11 0 +6200 1951 Graduation Married 75903 0 1 08-04-2013 50 340 108 185 130 38 100 2 6 6 9 3 0 0 0 0 0 0 3 11 0 +1403 1975 2n Cycle Together 34984 1 1 06-09-2012 40 8 4 15 3 5 3 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +4827 1956 PhD Single 54998 0 1 10-03-2013 3 154 22 202 39 30 8 5 4 2 9 4 0 0 0 0 0 0 3 11 1 +6250 1949 PhD Widow 54356 0 1 19-11-2012 62 710 15 30 20 0 0 3 11 2 8 8 0 0 0 0 0 0 3 11 1 +9291 1959 Master Married 34242 0 1 23-03-2014 25 8 2 4 0 0 1 1 0 0 3 5 0 0 0 0 0 0 3 11 0 +2478 1973 Graduation Married 25410 1 0 31-08-2013 48 2 2 4 13 13 4 1 1 0 4 4 0 0 0 0 0 0 3 11 0 +1139 1984 PhD Married 73356 0 0 06-02-2014 56 1050 14 322 0 14 112 1 5 11 5 2 1 0 1 1 0 0 3 11 1 +5138 1950 Graduation Together 28320 0 1 14-01-2013 68 19 1 14 3 2 4 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +5393 1977 Graduation Single 23763 1 0 07-08-2012 64 22 0 6 6 2 6 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +10413 1984 Graduation Married 72570 0 0 25-04-2014 67 274 83 216 151 141 224 1 4 6 12 1 0 0 0 0 0 0 3 11 0 +5015 1976 Master Married 34529 1 0 14-09-2012 94 68 6 38 3 6 41 2 2 2 3 7 0 0 0 0 0 0 3 11 0 +10868 1951 Graduation Widow 70792 0 0 06-02-2013 82 344 45 654 104 11 114 2 3 4 10 3 0 0 0 0 0 0 3 11 0 +10676 1982 Graduation Married 63211 0 0 02-11-2012 3 145 193 459 205 26 145 2 3 8 7 2 0 0 0 0 0 0 3 11 1 +2495 1974 Master Married 83891 0 1 20-06-2014 24 217 38 350 111 85 15 1 4 7 10 1 0 0 0 0 0 0 3 11 0 +7842 1968 Graduation Single 36065 1 1 31-03-2013 54 18 7 34 10 2 3 3 3 0 3 8 0 0 0 0 0 0 3 11 0 +9955 1954 Graduation Together 39898 0 1 12-02-2013 20 69 8 26 12 7 12 2 3 0 4 7 0 0 0 0 0 0 3 11 0 +6663 1940 PhD Single 51141 0 0 08-07-2013 96 144 0 7 0 0 6 1 3 1 4 5 0 0 0 0 0 0 3 11 0 +2162 1976 Graduation Married 56939 0 1 18-09-2013 19 256 34 103 90 29 49 2 3 3 10 3 0 0 0 0 0 0 3 11 0 +3434 1951 Graduation Single 80872 0 0 12-05-2014 60 483 72 567 94 12 108 1 4 4 10 1 0 0 0 0 0 0 3 11 0 +7919 1976 PhD Together 72335 0 0 13-08-2012 2 1285 105 653 28 21 0 1 10 4 8 8 0 0 0 0 0 0 3 11 1 +5626 1964 PhD Single 61798 0 0 23-11-2013 13 338 4 89 11 8 13 1 4 2 9 4 0 0 0 0 0 0 3 11 0 +6428 1950 PhD Widow 76842 0 0 03-05-2014 37 605 10 345 84 54 32 1 1 8 7 0 0 0 0 0 0 0 3 11 0 +8514 1976 Graduation Together 29478 1 0 17-01-2014 59 8 0 7 3 1 1 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +10448 1956 Graduation Single 46998 0 1 22-10-2012 55 172 41 86 45 6 27 5 5 3 5 7 1 0 0 0 0 0 3 11 0 +2109 1990 Graduation Single 96843 0 0 23-04-2013 60 448 71 951 40 17 17 1 6 11 10 2 0 0 1 0 0 0 3 11 1 +7530 1950 PhD Widow 56551 1 1 07-05-2014 48 67 4 32 17 2 16 3 2 1 4 4 0 0 0 0 0 0 3 11 0 +8925 1965 Master Married 70053 0 1 03-07-2013 38 512 53 98 81 179 89 3 8 5 10 5 0 0 0 0 0 0 3 11 0 +3009 1962 PhD Widow 71670 0 0 09-07-2013 8 1462 16 128 0 0 160 1 5 3 6 6 0 1 1 0 1 0 3 11 1 +6355 1978 Graduation Married 44359 1 1 17-06-2014 19 20 0 14 7 3 1 3 2 0 4 3 0 0 0 0 0 0 3 11 0 +3517 1952 Graduation Single 40887 1 1 06-05-2013 32 50 4 44 10 10 43 3 3 1 3 9 0 0 0 0 0 0 3 11 1 +1158 1966 Graduation Divorced 48877 0 1 05-01-2014 27 102 1 15 2 0 24 1 3 0 4 7 0 0 0 0 0 0 3 11 0 +6203 1947 Graduation Together 74485 0 0 24-08-2013 58 499 149 815 173 49 49 1 6 7 12 3 0 0 0 0 0 0 3 11 0 +7165 1972 Graduation Together 64474 0 1 22-10-2013 59 381 35 172 56 86 93 2 8 2 10 5 0 0 0 0 0 0 3 11 0 +3595 1963 Graduation Together 77226 0 1 28-02-2014 29 631 43 239 128 76 21 2 6 8 12 3 0 0 0 0 0 0 3 11 0 +8537 1949 Graduation Widow 72643 0 0 27-02-2013 60 526 80 553 123 94 53 1 3 10 7 2 0 0 0 1 0 0 3 11 1 +4331 1978 Master Together 85738 0 0 23-01-2014 41 913 26 376 17 26 13 1 3 6 11 1 0 1 1 0 0 0 3 11 0 +6281 1966 Graduation Divorced 55686 0 1 14-02-2013 27 673 0 199 37 47 26 2 6 3 5 4 1 0 0 0 0 0 3 11 0 +4338 1983 Graduation Single 39062 1 0 25-03-2014 28 23 0 9 0 0 12 1 1 0 3 4 1 0 0 0 0 0 3 11 0 +2452 1971 Graduation Together 34600 1 1 01-01-2013 8 199 33 60 8 3 15 5 5 2 5 8 0 0 0 0 0 0 3 11 1 +9507 1975 Graduation Married 40794 0 1 07-04-2013 18 261 23 73 4 23 50 2 6 3 5 7 0 0 0 0 0 0 3 11 0 +8360 1971 2n Cycle Married 54690 1 1 07-11-2013 76 111 16 37 7 9 18 3 3 1 5 3 0 0 0 0 0 0 3 11 0 +10311 1969 Graduation Married 4428 0 1 05-10-2013 0 16 4 12 2 4 321 0 25 0 0 1 0 0 0 0 0 0 3 11 0 +5117 1963 2n Cycle Married 32632 0 0 02-08-2012 32 63 151 137 153 19 53 2 4 4 8 5 0 0 0 0 0 0 3 11 0 +4867 1968 PhD Single 38236 1 1 20-09-2013 2 58 0 18 2 0 10 4 3 0 4 7 0 0 0 0 0 0 3 11 0 +9289 1979 Graduation Married 36781 1 0 10-04-2014 16 29 1 17 0 3 13 1 2 1 2 8 0 0 0 0 0 0 3 11 1 +10913 1984 Master Single 31385 1 0 05-12-2012 56 3 2 12 0 1 9 1 1 0 2 8 1 0 0 0 0 0 3 11 1 +3032 1984 Graduation Married 24570 1 0 27-02-2013 97 28 34 62 11 14 44 3 4 0 4 9 0 0 0 0 0 0 3 11 0 +8524 1974 PhD Divorced 25509 1 0 18-09-2012 15 40 3 30 10 7 11 3 3 0 3 9 0 0 0 0 0 0 3 11 1 +3334 1951 Graduation Married 94642 0 0 12-02-2014 35 879 143 797 106 143 143 0 5 7 9 1 0 0 1 1 0 0 3 11 0 +4470 1962 Master Married 58646 0 1 10-06-2013 3 62 1 44 6 5 22 1 2 1 4 4 0 0 0 0 0 0 3 11 0 +1406 1975 Graduation Single 53201 1 1 12-02-2013 49 280 7 81 20 0 27 8 6 3 5 7 0 0 0 0 0 0 3 11 0 +8619 1957 Graduation Together 21994 0 1 24-12-2012 4 9 0 6 3 1 3 1 0 0 3 5 0 0 0 0 0 0 3 11 0 +10821 1978 Graduation Married 57113 1 1 06-02-2013 45 182 4 33 0 2 42 6 4 1 5 7 0 0 0 0 0 0 3 11 0 +4552 1991 Graduation Married 51373 0 0 22-06-2013 37 83 2 101 64 26 117 1 3 5 3 4 0 0 0 0 0 0 3 11 0 +898 1986 Graduation Married 23477 1 0 21-10-2013 39 38 15 54 3 8 29 3 3 0 4 8 0 0 0 0 0 0 3 11 0 +9797 1956 Graduation Married 58116 0 1 13-04-2014 38 228 19 130 4 11 51 2 3 3 8 2 0 0 0 0 0 0 3 11 0 +10949 1963 PhD Divorced 72968 0 0 16-12-2013 8 1092 37 592 145 37 55 1 5 5 8 3 0 0 0 1 0 0 3 11 1 +8212 1971 Master Married 39791 0 1 28-03-2013 89 85 15 27 13 13 21 2 3 1 4 7 0 0 0 0 0 0 3 11 0 +6248 1947 Master Single 91712 0 0 17-10-2013 47 1276 24 746 94 29 48 0 9 7 11 3 0 0 1 0 0 0 3 11 1 +10164 1958 Graduation Single 94472 0 1 03-04-2014 75 1017 33 417 108 100 16 1 5 5 5 5 0 1 1 0 0 0 3 11 0 +4547 1960 Graduation Together 13672 1 1 17-04-2013 86 6 2 9 2 1 5 2 1 0 3 8 0 0 0 0 0 0 3 11 0 +6815 1980 2n Cycle Married 96547 0 0 23-05-2014 4 448 21 125 52 101 62 0 7 6 8 2 1 0 1 1 0 0 3 11 1 +4122 1975 Graduation Married 79205 0 0 29-08-2012 73 504 23 117 179 28 44 1 6 5 4 4 0 0 0 1 0 0 3 11 1 +10841 1975 PhD Together 56559 0 1 25-12-2012 46 226 22 133 41 31 31 3 4 3 8 4 0 0 0 0 0 0 3 11 0 +5370 1973 PhD Married 32644 1 0 16-01-2013 38 239 3 141 0 7 23 4 7 1 6 8 1 0 0 0 0 0 3 11 0 +176 1980 2n Cycle Single 67506 0 1 02-01-2014 73 90 38 67 33 36 67 1 4 1 6 3 0 0 0 0 0 0 3 11 0 +4860 1970 Graduation Single 24206 1 0 08-03-2013 66 7 2 8 3 2 3 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +10757 1967 PhD Divorced 28420 1 0 24-12-2013 36 4 2 5 2 0 0 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +4023 1970 Graduation Married 22979 1 0 06-09-2012 29 16 17 19 20 21 22 3 3 2 2 8 0 0 0 0 0 0 3 11 1 +6679 1966 Graduation Single 33279 0 0 12-06-2014 29 10 3 3 0 0 0 1 0 0 3 3 0 0 0 0 0 0 3 11 0 +9923 1972 Master Single 46423 1 1 18-09-2013 6 68 0 16 0 0 8 3 2 0 4 7 0 0 0 0 0 0 3 11 0 +7181 1977 Graduation Married 30368 0 1 07-11-2013 97 35 0 13 2 0 2 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +3599 1970 Graduation Married 63684 0 1 26-11-2012 61 575 80 428 208 93 80 3 8 4 8 5 0 0 0 0 0 0 3 11 0 +405 1964 Graduation Divorced 41638 0 1 13-02-2013 68 315 0 31 4 0 91 4 5 5 3 8 1 0 0 0 0 0 3 11 0 +6870 1959 PhD Divorced 68805 0 1 17-09-2013 73 182 2 49 17 13 20 1 3 1 7 2 0 0 0 0 0 0 3 11 0 +832 1966 PhD Together 65814 0 1 02-03-2014 90 561 14 113 10 14 35 3 8 2 10 5 0 0 0 0 0 0 3 11 0 +2002 1958 Graduation Divorced 71964 0 0 20-05-2013 81 587 51 932 180 34 86 1 5 6 5 3 0 0 0 0 0 0 3 11 0 +3657 1986 Graduation Single 39146 1 0 14-02-2013 1 94 1 33 13 12 12 3 4 0 4 8 0 0 0 0 0 0 3 11 0 +500 1977 Graduation Together 96876 0 0 06-08-2013 79 908 43 735 40 194 21 1 7 7 9 2 0 1 1 1 0 0 3 11 1 +1951 1981 Basic Married 34445 0 0 27-01-2013 92 228 122 122 208 129 30 6 11 2 8 9 0 0 0 0 0 0 3 11 0 +3262 1958 Graduation Single 68281 0 0 07-08-2012 31 995 112 417 42 48 41 1 2 9 13 5 0 0 0 0 0 0 3 11 1 +4102 1975 2n Cycle Married 37284 1 1 29-03-2013 46 11 1 2 2 1 6 1 0 0 3 6 0 0 0 0 0 0 3 11 0 +7042 1983 Graduation Married 36790 0 0 01-03-2013 14 3 3 14 15 21 10 1 2 1 2 9 0 0 0 0 0 0 3 11 1 +10598 1967 Graduation Together 27943 1 1 15-04-2013 89 12 1 16 4 1 3 3 2 0 3 8 0 0 0 0 0 0 3 11 0 +255 1951 Graduation Divorced 22263 1 1 30-03-2014 31 17 0 2 0 0 2 2 1 0 3 6 0 0 0 0 0 1 3 11 0 +2375 1972 Graduation Together 30261 1 2 25-09-2012 75 8 0 5 0 3 6 1 0 0 3 8 0 0 0 0 0 0 3 11 0 +9829 1978 Graduation Together 28587 1 0 12-02-2014 42 22 4 17 12 10 13 3 2 0 4 6 0 0 0 0 0 0 3 11 0 +6214 1982 Master Married 43815 1 0 05-04-2013 53 14 10 29 4 7 15 1 2 0 3 6 0 0 0 0 0 0 3 11 0 +4954 1956 Graduation Married 48195 1 1 21-01-2014 53 106 27 68 52 7 5 6 4 2 5 6 0 0 0 0 0 0 3 11 0 +7861 1952 Master Married 77027 0 1 05-02-2014 23 820 57 242 45 0 11 2 8 3 6 4 0 0 0 0 0 0 3 11 0 +4837 1965 PhD Married 71322 0 1 16-02-2013 57 753 43 226 69 10 204 2 8 5 13 4 0 0 0 0 0 0 3 11 0 +9423 1979 Master Married 32765 1 0 23-02-2014 49 13 3 17 7 3 3 2 2 0 4 5 0 0 0 0 0 0 3 11 0 +4198 1965 Graduation Together 29672 1 1 12-03-2013 6 9 1 3 0 4 8 1 0 0 3 6 0 0 0 0 0 0 3 11 0 +153 1953 Graduation Divorced 23272 0 0 17-10-2013 29 19 3 6 4 2 12 1 1 0 3 4 0 0 0 0 0 0 3 11 0 +9323 1949 Master Together 49912 0 1 07-09-2012 5 520 8 223 32 49 42 4 10 5 7 8 1 0 0 0 0 0 3 11 1 +10001 1985 2n Cycle Together 7500 1 0 01-08-2012 98 5 17 17 13 14 34 4 2 1 3 9 0 0 0 0 0 0 3 11 0 +3945 1947 PhD Widow 68117 0 1 10-03-2013 80 618 44 215 0 17 36 2 11 8 4 6 1 0 0 0 0 0 3 11 1 +3799 1955 Graduation Married 67225 0 1 26-11-2013 4 315 35 322 46 7 143 3 7 2 11 5 0 0 0 0 0 0 3 11 0 +8625 1976 Graduation Married 17649 1 0 12-11-2013 70 15 1 23 0 5 1 3 3 0 3 8 0 0 0 0 0 0 3 11 0 +3491 1975 Graduation Together 55914 0 1 29-04-2013 32 384 60 364 119 101 232 4 11 6 8 7 0 0 0 0 0 0 3 11 0 +983 1984 Graduation Married 40059 1 0 28-09-2013 82 110 29 92 28 10 145 1 6 2 3 8 1 0 0 0 0 0 3 11 0 +9119 1950 Graduation Together 60905 0 1 05-12-2013 27 208 17 76 36 17 38 2 3 3 7 2 0 0 0 0 0 0 3 11 0 +4786 1977 Graduation Married 75330 1 1 04-10-2012 94 555 82 257 93 61 61 4 10 3 12 6 0 0 0 0 0 0 3 11 0 +5872 1951 Graduation Single 60689 0 1 01-06-2013 23 240 90 216 63 6 24 4 4 4 10 3 0 0 0 0 0 0 3 11 0 +6568 1984 Graduation Married 38680 1 0 28-03-2013 97 11 0 36 15 5 12 1 2 0 3 7 0 0 0 0 0 0 3 11 0 +5628 1982 Graduation Together 61416 0 0 08-02-2013 25 848 154 323 201 61 78 1 10 3 10 6 1 0 0 0 0 0 3 11 0 +5631 1991 Graduation Single 49767 0 0 02-05-2013 92 202 47 197 55 42 149 1 5 4 8 4 0 0 0 0 0 0 3 11 0 +4974 1970 Graduation Single 83273 1 2 25-09-2012 98 433 89 650 16 102 102 10 4 6 9 7 0 0 0 0 0 0 3 11 0 +8416 1981 Graduation Married 29009 1 0 29-11-2013 19 6 6 15 10 5 2 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +5454 1979 Master Married 45057 1 0 01-12-2013 80 37 0 7 3 0 3 1 2 0 3 5 0 0 0 0 0 0 3 11 0 +4095 1971 Graduation Married 37150 1 0 11-09-2012 80 167 37 64 49 34 116 8 4 3 6 7 0 0 0 0 0 0 3 11 0 +5474 1970 Graduation Single 43020 1 0 30-11-2013 79 45 7 99 4 25 43 3 4 1 4 6 0 0 0 0 0 0 3 11 0 +4268 1959 Graduation Married 53154 0 1 09-06-2014 50 129 0 21 0 1 7 1 3 1 4 4 0 0 0 0 0 0 3 11 0 +10701 1973 Graduation Married 65308 0 0 11-09-2013 60 713 0 264 120 80 34 1 7 8 12 4 0 0 1 1 0 0 3 11 0 +3507 1970 Graduation Single 76467 1 0 17-08-2012 44 676 161 426 210 44 58 2 2 5 5 6 0 0 0 0 0 0 3 11 1 +2079 1947 2n Cycle Married 81044 0 0 27-12-2013 0 450 26 535 73 98 26 1 5 6 10 1 0 0 0 0 0 0 3 11 0 +626 1951 Graduation Married 32871 1 1 09-03-2013 28 22 2 12 0 2 5 1 1 0 3 4 0 0 0 0 0 0 3 11 0 +4426 1975 Graduation Single 55801 1 1 22-09-2013 35 367 4 51 6 4 95 6 7 2 6 7 0 0 0 1 0 0 3 11 0 +2591 1959 Graduation Widow 76320 0 1 22-06-2014 49 526 35 214 69 53 35 2 6 3 4 2 0 0 0 0 0 0 3 11 0 +10509 1955 Master Single 36927 1 1 02-06-2014 46 51 0 16 0 0 4 2 3 0 3 8 0 0 0 0 0 0 3 11 0 +6382 1953 Graduation Together 48794 1 1 26-06-2014 97 25 0 11 3 0 15 1 1 0 3 4 0 0 0 0 0 0 3 11 0 +6673 1965 Graduation Single 23478 0 0 19-03-2013 51 28 6 27 12 17 39 1 3 0 3 8 0 0 0 0 0 0 3 11 0 +7441 1973 Graduation Divorced 71128 1 0 06-10-2012 80 958 159 447 20 0 31 3 2 10 12 7 0 0 0 0 0 0 3 11 0 +1071 1976 PhD Divorced 70179 0 1 21-07-2013 10 532 88 168 69 44 133 3 7 3 13 5 0 0 0 0 0 0 3 11 0 +10061 1950 Graduation Married 59462 0 1 05-01-2013 29 724 17 143 0 8 196 2 9 2 12 7 0 0 0 0 0 0 3 11 0 +7187 1969 Master Together 1 1 18-05-2013 52 375 42 48 94 66 96 7 4 10 4 3 0 0 0 0 0 0 3 11 0 +8775 1969 Graduation Together 38361 1 0 27-12-2013 74 39 0 56 20 8 14 3 3 1 3 7 0 0 0 0 0 0 3 11 0 +1612 1981 PhD Single 1 0 31-05-2013 82 23 0 15 0 2 7 2 3 0 3 6 0 0 0 0 0 0 3 11 0 +2345 1982 PhD Together 70038 0 0 25-10-2013 54 587 54 348 71 54 130 1 4 4 8 2 0 0 0 0 0 0 3 11 0 +322 1978 Graduation Together 42554 1 1 12-01-2013 93 29 1 11 0 0 0 2 2 0 3 4 0 0 0 0 0 0 3 11 0 +10897 1974 Graduation Married 67445 0 1 12-08-2012 63 757 80 217 29 80 11 5 9 6 12 6 0 0 0 0 0 0 3 11 0 +123 1951 Graduation Widow 67046 0 1 06-01-2013 92 544 35 133 23 151 107 2 4 5 4 2 0 0 0 0 0 0 3 11 0 +6103 1948 Graduation Married 42192 0 0 06-09-2013 40 40 15 15 17 6 7 1 2 1 3 4 0 0 0 0 0 0 3 11 0 +7899 1952 PhD Married 77610 0 1 29-10-2012 70 1245 33 332 21 33 16 2 4 7 4 7 0 0 0 0 0 0 3 11 0 +10500 1984 Graduation Married 31761 1 0 05-04-2014 96 19 1 20 16 14 28 2 3 0 4 5 0 0 0 0 0 0 3 11 0 +1655 1979 Graduation Together 34350 1 0 19-10-2013 81 16 3 15 2 1 11 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +2406 1949 Graduation Together 54591 0 1 05-08-2013 63 376 4 94 12 9 24 3 6 2 8 5 0 0 0 0 0 0 3 11 0 +2712 1956 Graduation Married 71866 0 1 25-12-2013 85 184 178 178 103 39 33 1 6 3 10 3 0 0 0 0 0 0 3 11 0 +5517 1969 Graduation Married 25293 1 0 15-09-2013 51 15 0 11 0 2 9 1 1 1 2 8 0 0 0 0 0 0 3 11 0 +10643 1987 PhD Single 42000 0 0 10-01-2013 23 124 83 267 85 59 35 2 5 2 11 5 0 0 0 0 0 0 3 11 1 +2254 1983 Graduation Married 69520 0 0 07-07-2013 95 627 120 414 121 80 93 1 9 6 5 5 0 0 0 0 0 0 3 11 0 +10281 1970 Graduation Divorced 64713 1 0 07-02-2014 11 180 60 241 13 54 54 2 5 5 7 4 0 0 0 0 0 0 3 11 1 +6958 1977 Master Married 27889 1 0 05-07-2013 42 14 0 4 0 0 8 1 1 1 2 6 0 0 0 0 0 0 3 11 0 +954 1960 Basic Widow 22123 0 0 27-03-2014 77 3 3 24 34 7 31 1 2 1 3 5 0 0 0 0 0 0 3 11 0 +5079 1971 Graduation Married 1 1 03-03-2013 82 71 1 16 0 0 9 4 2 1 3 8 0 0 0 0 0 0 3 11 0 +10339 1954 Master Together 0 1 23-06-2013 83 161 0 22 0 0 24 2 4 1 4 6 0 0 0 0 0 0 3 11 0 +4643 1973 Graduation Married 27803 1 0 26-08-2012 40 8 26 46 38 9 49 2 3 0 4 8 0 0 0 0 0 0 3 11 0 +3117 1955 Graduation Single 0 1 18-10-2013 95 264 0 21 12 6 147 3 6 1 5 7 0 0 0 0 0 0 3 11 0 +6497 1960 Graduation Married 51651 0 1 07-11-2012 32 293 6 23 13 6 92 4 6 2 5 8 0 0 0 0 0 0 3 11 0 +5396 1988 Graduation Married 68487 0 0 13-01-2013 48 758 12 385 33 89 89 1 9 7 13 4 0 0 0 0 0 0 3 11 0 +5250 1943 Master Widow 0 0 30-10-2013 75 532 126 490 164 126 126 1 5 5 11 1 0 0 1 0 0 0 3 11 1 +1052 1969 Graduation Married 56796 0 1 16-02-2013 24 656 38 161 62 47 37 3 8 9 7 7 0 0 0 0 0 0 3 11 0 +2802 1992 2n Cycle Married 87000 0 0 15-12-2012 61 196 25 607 67 17 49 1 4 6 7 2 0 0 0 0 0 0 3 11 0 +6343 1959 Graduation Married 79823 0 1 31-03-2014 6 835 73 380 114 73 43 1 6 9 7 2 0 1 0 0 0 0 3 11 0 +6507 1980 Graduation Single 30828 1 0 04-10-2013 16 16 11 15 2 0 12 2 1 1 4 3 0 0 0 0 0 0 3 11 0 +7901 1971 Master Married 34109 0 1 06-11-2013 39 9 1 5 2 1 4 1 0 0 3 4 0 0 0 0 0 0 3 11 0 +4865 1974 Master Divorced 53367 1 1 31-08-2013 2 229 7 140 10 3 11 7 5 1 8 7 0 0 0 0 0 0 3 11 1 +2686 1969 Basic Together 22390 0 0 21-10-2013 49 0 1 4 15 1 5 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +3107 1976 Graduation Together 71322 0 1 02-05-2014 31 121 24 124 24 15 42 1 4 1 7 2 0 0 0 0 0 0 3 11 0 +7734 1993 Graduation Absurd 79244 0 0 19-12-2012 58 471 102 125 212 61 245 1 4 10 7 1 0 0 1 1 0 0 3 11 1 +1146 1949 Master Together 49912 0 1 07-09-2012 5 520 8 223 32 49 42 4 10 5 7 8 1 0 0 0 0 0 3 11 1 +11031 1950 PhD Married 48699 1 1 21-05-2013 90 26 1 10 2 0 1 1 1 0 3 5 0 0 0 0 0 0 3 11 0 +7428 1975 Graduation Together 80144 0 0 30-09-2013 47 240 132 445 250 192 108 1 3 7 8 1 0 0 0 0 0 0 3 11 0 +975 1956 Graduation Single 54252 1 1 28-05-2013 25 178 4 26 8 4 44 5 4 1 5 6 0 0 0 0 0 0 3 11 0 +1103 1976 Master Married 81929 1 0 29-09-2012 60 1486 55 278 49 0 185 2 4 4 10 6 1 0 1 0 0 0 3 11 1 +3422 1975 Graduation Married 76068 0 1 29-11-2012 67 1115 12 128 33 12 76 1 2 3 4 6 0 1 0 0 1 0 3 11 0 +1055 1976 Master Married 53204 1 1 20-03-2014 40 29 0 8 2 0 6 1 1 0 3 4 0 0 0 0 0 0 3 11 0 +6544 1949 PhD Together 67911 0 1 22-05-2014 63 529 0 356 63 28 0 3 6 7 11 3 0 0 0 0 0 0 3 11 0 +1241 1984 2n Cycle Married 14796 1 0 17-09-2012 1 13 3 8 7 4 16 2 1 0 3 9 0 0 0 0 0 0 3 11 1 +2909 1974 PhD Married 78128 0 1 19-02-2014 89 934 24 230 16 24 36 2 8 4 6 3 0 1 1 0 0 0 3 11 0 +5802 1972 Basic Married 14188 0 0 28-02-2013 40 2 7 11 16 12 27 1 2 0 4 6 0 0 0 0 0 0 3 11 0 +1407 1986 Basic Married 20425 1 0 29-10-2012 5 4 12 5 3 16 17 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +6183 1962 Master Married 58646 0 1 10-06-2013 3 62 1 44 6 5 22 1 2 1 4 4 0 0 0 0 0 0 3 11 0 +340 1970 Graduation Divorced 72967 0 1 15-12-2012 1 158 35 179 0 0 125 2 7 2 8 5 1 0 0 0 0 0 3 11 1 +5991 1949 Master Married 48150 0 1 08-06-2013 24 173 2 39 3 2 47 3 5 1 4 7 0 0 0 0 0 0 3 11 0 +3104 1961 Graduation Single 82332 0 0 17-09-2012 89 830 59 968 51 79 19 1 5 3 12 2 0 0 1 0 0 0 3 11 1 +9729 1955 Graduation Widow 58275 1 1 02-06-2013 48 189 10 253 56 43 64 6 8 2 7 7 0 0 0 0 0 0 3 11 0 +1008 1981 PhD Together 44953 0 0 21-12-2012 31 728 17 133 11 8 124 1 7 3 13 6 1 0 0 0 0 0 3 11 0 +11091 1953 Graduation Together 34587 1 1 16-05-2014 68 7 2 9 2 0 2 2 1 0 3 4 0 0 0 0 0 0 3 11 0 +3969 1974 Master Together 43018 0 1 01-11-2013 46 35 4 17 7 6 64 1 2 2 2 5 0 0 0 0 0 0 3 11 0 +1916 1954 Master Married 45736 0 1 24-07-2013 92 188 3 180 20 3 43 5 7 1 6 7 0 0 0 0 0 0 3 11 0 +9907 1969 Master Together 66476 0 1 04-12-2013 80 742 28 152 25 9 57 2 6 8 10 4 0 0 0 0 0 0 3 11 0 +87 1981 2n Cycle Married 27733 1 0 26-08-2013 16 0 7 5 26 2 17 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +8659 1952 PhD Together 69805 0 1 21-01-2014 50 750 71 174 13 10 20 2 6 8 11 2 0 0 0 0 0 0 3 11 0 +6262 1962 Master Single 72217 0 0 10-04-2013 93 816 42 450 55 56 154 1 3 10 8 2 0 0 0 0 0 0 3 11 0 +6147 1971 Graduation Divorced 25818 1 0 18-10-2012 51 5 2 8 2 2 9 1 0 1 2 7 0 0 0 0 0 0 3 11 0 +8832 1976 Master Together 37509 1 0 12-09-2012 24 37 5 56 12 8 5 2 3 0 4 7 0 0 0 0 0 0 3 11 0 +10067 1976 2n Cycle Together 25176 1 1 10-08-2013 79 4 0 4 0 0 5 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +7532 1980 Graduation Married 43586 0 1 30-08-2012 26 99 2 11 4 0 16 3 3 0 4 8 0 0 0 0 0 0 3 11 0 +4915 1956 2n Cycle Married 53230 0 1 03-08-2012 86 176 72 98 136 21 229 4 5 2 12 5 0 0 0 0 0 0 3 11 0 +2115 1957 Graduation Together 50116 1 1 20-06-2014 68 54 0 10 0 0 2 2 1 0 4 5 0 1 0 0 0 0 3 11 0 +2088 1972 Graduation Together 84906 0 0 04-10-2013 98 997 15 414 99 30 76 1 5 6 12 2 0 1 1 0 1 0 3 11 0 +2493 1966 Graduation Married 61286 0 1 02-08-2013 34 356 0 107 19 9 117 2 7 1 8 5 0 0 0 0 0 0 3 11 0 +6292 1986 PhD Married 82333 0 0 30-03-2013 60 1311 0 359 46 89 17 1 4 3 10 2 0 0 1 0 0 0 3 11 1 +1631 1965 PhD Together 65220 0 0 03-09-2012 3 890 63 292 0 25 12 4 8 4 7 6 0 0 0 0 0 0 3 11 1 +10104 1974 Graduation Together 33590 2 1 03-11-2013 65 4 0 2 0 0 2 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +3006 1976 Graduation Divorced 30992 1 0 22-04-2013 83 17 0 14 7 3 2 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +3919 1976 Master Single 72309 0 0 11-03-2013 64 960 0 883 50 38 0 1 5 6 8 3 0 0 0 1 0 0 3 11 1 +11181 1949 PhD Married 156924 0 0 29-08-2013 85 2 1 2 1 1 1 0 0 0 0 0 0 0 0 0 0 0 3 11 0 +642 1980 Basic Married 16005 1 0 14-08-2012 69 1 3 2 20 30 47 3 2 1 2 8 0 0 0 0 0 0 3 11 0 +4369 1957 Master Absurd 65487 0 0 10-01-2014 48 240 67 500 199 0 163 3 3 5 6 2 0 0 0 0 0 0 3 11 0 +10127 1965 Graduation Married 58692 0 1 06-04-2014 21 301 11 61 4 7 11 1 8 2 4 7 0 0 0 0 0 0 3 11 0 +271 1969 Graduation Widow 40590 1 1 02-10-2013 30 154 0 50 6 11 37 5 3 4 3 6 1 0 0 0 0 0 3 11 0 +4973 1970 Graduation Single 20587 1 0 11-05-2014 39 2 3 6 4 1 9 1 1 1 2 7 0 0 0 0 0 0 3 11 0 +2948 1954 Master Divorced 62637 0 1 01-03-2014 76 104 12 48 4 12 5 1 2 2 5 2 0 0 0 0 0 0 3 11 0 +2715 1966 Master Divorced 29435 1 1 06-08-2012 11 70 3 37 4 2 64 4 3 2 2 9 0 0 0 0 0 0 3 11 1 +10432 1974 Graduation Divorced 19346 1 0 30-01-2014 26 2 0 9 3 6 2 1 1 0 3 8 0 0 0 0 0 0 3 11 0 +9216 1971 Graduation Married 35788 1 1 23-01-2014 34 23 2 11 3 1 4 2 2 0 3 6 0 0 0 0 0 0 3 11 0 +7124 1968 Graduation Divorced 36997 1 1 01-02-2013 72 43 4 12 8 0 27 5 2 1 4 5 0 0 0 0 0 0 3 11 0 +9727 1957 Graduation Married 23539 0 0 28-02-2014 13 4 24 11 16 1 25 1 2 0 4 6 0 0 0 0 0 0 3 11 0 +5136 1973 Graduation Single 65333 0 1 17-01-2014 58 654 7 92 0 15 30 7 9 4 8 6 0 1 1 0 0 0 3 11 0 +9790 1957 Graduation Single 78499 0 0 23-11-2013 12 912 72 170 47 36 97 1 11 3 4 4 0 0 1 0 0 0 3 11 1 +1818 1971 PhD Together 29732 1 0 25-03-2014 23 25 0 8 0 1 4 1 2 0 2 9 0 0 0 0 0 0 3 11 0 +1100 1960 Master Together 41275 1 2 24-03-2014 33 24 4 22 0 2 9 4 3 1 3 5 0 0 0 0 0 0 3 11 0 +7873 1973 PhD Together 63516 1 1 06-07-2013 30 141 11 114 15 14 5 4 4 1 7 5 0 0 0 0 0 0 3 11 0 +10609 1962 PhD Married 42769 0 1 12-10-2013 15 71 0 13 3 1 0 2 1 1 4 4 0 0 0 0 0 0 3 11 0 +6950 1958 Master Married 49572 1 1 15-12-2013 25 35 1 16 0 1 1 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +7233 1972 Graduation Married 69209 0 0 17-09-2012 4 496 32 849 229 48 128 2 5 3 6 4 0 0 0 1 0 0 3 11 0 +9481 1976 Graduation Married 17148 1 0 28-01-2014 80 9 9 11 13 10 16 4 3 1 3 8 0 0 0 0 0 0 3 11 0 +7699 1969 Graduation Widow 40590 1 1 02-10-2013 30 154 0 50 6 11 37 5 3 4 3 6 1 0 0 0 0 0 3 11 0 +2711 1976 Master Together 30560 1 0 27-06-2013 6 9 1 5 4 5 7 1 1 0 3 7 0 0 0 0 0 0 3 11 0 +8933 1983 2n Cycle Married 32146 1 0 12-05-2014 16 26 3 23 4 7 3 2 2 0 4 6 0 0 0 0 0 0 3 11 0 +8726 1964 2n Cycle Divorced 41713 1 1 29-04-2014 57 77 8 44 10 10 25 5 3 1 4 6 0 0 0 0 0 0 3 11 0 +1515 1975 Master Together 34176 0 1 22-01-2014 9 11 2 7 4 2 2 1 1 0 3 3 0 0 0 0 0 0 3 11 0 +5186 1955 PhD Married 58482 0 1 12-03-2014 59 576 7 115 19 7 7 2 7 4 9 6 0 1 0 0 0 0 3 11 0 +10157 1965 Graduation Single 59686 0 1 25-01-2014 78 89 15 89 34 42 5 1 4 1 6 4 0 0 0 0 0 0 3 11 0 +5667 1964 PhD Married 60896 0 1 11-10-2012 90 1013 30 399 60 46 153 3 9 10 4 6 0 0 0 0 0 0 3 11 1 +902 1980 Graduation Together 62994 1 0 04-03-2014 74 224 12 48 4 12 12 1 6 2 4 6 0 0 0 0 0 0 3 11 0 +977 1957 Graduation Together 47320 0 1 01-08-2013 10 200 19 111 50 15 19 6 5 1 8 6 0 0 0 0 0 0 3 11 0 +7313 1949 2n Cycle Widow 74859 0 0 03-06-2013 63 570 73 614 133 102 73 1 6 5 11 3 0 0 0 1 0 0 3 11 0 +7600 1992 Basic Single 15253 1 0 28-10-2013 13 1 3 3 8 1 13 2 1 0 3 7 0 0 0 0 0 0 3 11 0 +9706 1974 PhD Single 31560 1 0 24-06-2013 98 62 1 20 4 0 7 2 2 1 3 8 0 0 0 0 0 0 3 11 0 +2429 1954 Graduation Divorced 72071 0 1 14-02-2013 4 531 69 300 150 138 150 3 5 4 8 2 0 0 0 0 0 0 3 11 0 +3520 1990 Master Single 91172 0 0 27-03-2013 94 162 28 818 0 28 56 0 4 3 7 3 1 0 1 1 1 0 3 11 1 +10394 1984 Graduation Married 90000 0 0 23-12-2013 91 675 144 133 94 192 241 1 4 8 5 1 1 0 1 1 0 0 3 11 0 +4548 1981 Graduation Single 41967 1 1 23-11-2013 66 23 4 10 0 2 15 1 1 0 3 4 0 0 0 0 0 0 3 11 0 +9362 1965 Graduation Single 69263 0 1 05-03-2014 14 492 5 32 13 5 21 1 9 1 7 6 0 1 0 0 0 0 3 11 0 +3968 1970 2n Cycle Divorced 65706 0 0 28-06-2013 77 918 10 129 13 0 129 1 11 3 12 7 0 1 1 0 1 0 3 11 1 +4084 1975 Graduation Together 60934 0 1 17-01-2014 41 224 155 155 192 93 54 2 6 4 11 4 0 0 0 0 0 0 3 11 0 +6721 1951 Graduation Married 71965 0 1 29-07-2013 21 572 19 286 50 38 248 3 6 3 5 3 0 0 0 0 0 0 3 11 0 +2829 1955 Graduation Married 65210 0 1 10-03-2014 25 626 0 70 0 7 28 2 9 3 8 6 0 1 0 1 0 0 3 11 0 +1772 1975 PhD Married 79174 0 0 11-01-2013 2 1074 37 518 193 92 129 1 5 6 7 2 0 0 1 1 0 0 3 11 1 +1544 1967 Master Divorced 81380 0 0 22-12-2012 51 741 68 689 224 68 103 1 4 2 10 2 0 0 0 0 0 0 3 11 0 +492 1973 PhD YOLO 48432 0 1 18-10-2012 3 322 3 50 4 3 42 5 7 1 6 8 0 0 0 0 0 0 3 11 0 +4377 1971 Graduation Married 52914 0 1 07-01-2013 32 254 10 44 30 10 227 2 7 3 3 7 1 0 0 0 0 0 3 11 0 +4541 1955 Graduation Together 38946 0 1 24-10-2013 84 116 6 82 6 6 41 2 3 1 6 5 0 0 0 0 0 0 3 11 0 +1321 1974 Graduation Married 26067 1 0 04-11-2013 49 22 2 18 0 2 12 3 3 0 3 8 0 0 0 0 0 0 3 11 0 +8858 1972 PhD Married 44325 0 1 07-03-2013 69 516 0 21 0 0 5 4 8 2 7 8 0 1 0 0 0 0 3 11 0 +3266 1964 Graduation Married 42523 0 0 23-04-2014 96 14 36 11 3 26 35 1 1 1 4 2 0 0 0 0 0 0 3 11 0 +11187 1978 Basic Single 26487 1 0 20-05-2013 23 2 8 10 12 14 23 3 2 1 3 5 0 0 0 0 0 0 3 11 0 +8207 1957 2n Cycle Married 53233 0 1 18-03-2014 18 28 0 9 3 0 0 1 1 0 3 4 0 0 0 0 0 0 3 11 0 +9723 1960 Graduation Married 67716 0 1 10-01-2013 8 530 142 217 62 9 56 4 7 4 13 5 0 1 0 0 0 0 3 11 0 +2666 1972 Master Married 76234 0 1 06-02-2014 21 519 50 167 130 0 41 1 8 3 11 3 0 1 0 0 0 0 3 11 0 +5721 1956 PhD Married 84117 0 0 11-05-2014 60 611 76 749 59 45 26 1 7 10 6 2 0 0 1 0 0 0 3 11 0 +10652 1957 Master Together 65487 0 0 10-01-2014 48 240 67 500 199 0 163 3 3 5 6 2 0 0 0 0 0 0 3 11 0 +1646 1972 Basic Married 25224 1 0 16-03-2014 36 4 9 12 11 2 8 2 1 1 3 3 0 0 0 0 0 0 3 11 0 +4418 1983 Master Single 89616 0 0 25-02-2013 36 671 47 655 145 111 15 1 7 5 12 2 0 0 0 0 0 0 3 11 1 +2656 1971 Graduation Divorced 40851 1 1 21-02-2013 63 23 1 7 0 4 24 1 1 1 2 7 0 0 0 0 0 0 3 11 0 +7990 1947 Graduation Married 27469 0 0 02-08-2012 2 9 1 2 3 2 0 1 0 0 3 6 0 0 0 0 0 0 3 11 0 +8722 1957 2n Cycle Married 82347 0 0 06-11-2012 38 556 54 845 202 133 63 1 7 7 10 3 1 0 0 1 0 0 3 11 1 +7118 1957 Graduation Married 73803 0 1 01-08-2012 61 833 80 363 52 26 174 2 9 5 6 6 1 0 0 0 0 0 3 11 1 +2980 1952 Master Single 8820 1 1 22-03-2013 52 12 0 13 4 2 4 4 3 0 3 8 0 0 0 0 0 0 3 11 0 +1839 1974 Graduation Single 43322 0 0 21-04-2014 25 56 7 48 10 2 18 1 3 0 4 7 0 0 0 0 0 0 3 11 0 +10722 1973 Graduation Together 55593 0 1 21-08-2013 63 293 8 124 11 4 106 2 6 6 3 6 1 0 0 0 0 0 3 11 0 +2632 1954 Graduation Married 50501 1 1 18-06-2013 10 297 0 38 13 0 152 7 5 4 4 6 1 0 0 0 0 0 3 11 1 +9014 1975 Graduation Married 37085 1 1 26-06-2014 65 39 1 16 2 0 3 4 3 0 3 8 0 0 0 0 0 0 3 11 0 +7620 1990 Basic Single 16185 1 0 05-08-2013 71 5 11 16 21 8 45 2 2 2 2 8 0 0 0 0 0 0 3 11 0 +10968 1969 Graduation Single 57731 0 1 23-11-2012 0 266 21 300 65 8 44 4 8 8 6 6 0 0 0 0 0 0 3 11 0 +11133 1973 PhD YOLO 48432 0 1 18-10-2012 3 322 3 50 4 3 42 5 7 1 6 8 0 0 0 0 0 0 3 11 1 +2736 1978 Graduation Married 73807 0 1 02-01-2013 88 366 124 156 71 78 54 2 5 5 11 2 0 0 0 0 0 0 3 11 0 +1876 1990 Graduation Married 18929 0 0 16-02-2013 15 32 0 8 23 4 18 1 1 0 4 6 0 0 0 0 0 0 3 11 0 +5959 1968 Graduation Single 35893 1 1 15-10-2012 80 158 0 23 0 0 18 6 3 1 5 8 0 0 0 0 0 0 3 11 0 +1092 1980 Graduation Married 61014 0 1 11-08-2012 17 269 129 495 182 43 29 4 9 3 4 7 0 0 0 0 0 0 3 11 0 +4333 1954 Graduation Together 32144 1 1 23-03-2014 76 41 0 10 0 0 3 4 2 1 3 7 0 1 0 0 0 0 3 11 0 +3850 1963 Basic Together 14918 0 1 07-12-2012 52 3 3 3 15 4 15 1 1 0 3 6 0 0 0 0 0 0 3 11 0 +6168 1963 Graduation Divorced 45146 1 1 15-07-2013 28 33 0 5 0 0 15 2 1 1 2 4 0 0 0 0 0 0 3 11 0 +607 1955 2n Cycle Divorced 41769 0 1 13-02-2013 31 302 29 131 32 0 27 6 8 1 7 8 0 0 0 0 0 0 3 11 0 +10469 1981 Graduation Together 88325 0 0 05-02-2014 42 519 71 860 93 27 53 1 6 2 9 2 0 0 0 0 0 0 3 11 0 +6983 1950 Master Divorced 38054 1 1 01-05-2014 24 23 2 17 2 1 0 2 2 0 3 7 0 0 0 0 0 0 3 11 0 +3661 1995 2n Cycle Single 80617 0 0 12-10-2012 42 594 51 631 72 55 32 1 4 6 8 2 0 0 0 0 0 0 3 11 0 +9303 1976 Graduation Married 5305 0 1 30-07-2013 12 12 4 7 1 3 5 0 1 0 0 13 0 0 0 0 0 0 3 11 0 +692 1954 Graduation Together 36807 1 1 20-12-2012 88 4 2 5 0 0 5 1 1 0 2 6 0 0 0 0 0 0 3 11 0 +736 1983 Graduation Together 28427 1 0 21-03-2013 67 18 3 19 3 3 6 2 2 0 3 8 0 0 0 0 0 0 3 11 0 +9589 1948 PhD Widow 82032 0 0 05-04-2014 54 332 194 377 149 125 57 0 4 6 7 1 0 0 0 0 0 0 3 11 0 +4838 1978 Graduation Together 22775 1 0 19-06-2013 40 5 1 8 0 0 1 1 1 0 2 8 0 0 0 0 0 0 3 11 0 +9246 1985 Master Together 40101 1 0 14-10-2012 73 171 3 129 26 24 62 4 6 1 6 7 0 0 0 0 0 0 3 11 0 +6261 1979 Graduation Married 58025 0 1 26-11-2013 81 270 31 88 11 48 22 3 3 2 10 4 0 0 0 0 0 0 3 11 0 +7366 1982 Master Single 75777 0 0 04-07-2013 12 712 26 538 69 13 80 1 3 6 11 1 0 1 1 0 0 0 3 11 1 +10659 1979 2n Cycle Together 7500 1 0 07-05-2013 7 2 8 11 3 8 21 4 3 2 2 7 0 0 0 0 0 0 3 11 0 +1448 1963 Master Married 33562 1 2 25-06-2014 33 21 12 12 0 3 3 3 2 0 4 4 0 0 0 0 0 0 3 11 0 +4286 1970 PhD Single 57642 0 1 09-01-2014 24 580 6 58 8 0 27 3 7 6 6 4 1 0 0 0 0 0 3 11 0 +4749 1968 Graduation Together 58554 1 1 26-09-2012 55 368 24 68 38 0 88 6 8 2 6 7 0 0 0 0 0 0 3 11 0 +4478 1979 Graduation Married 63777 1 1 24-03-2013 87 457 5 106 15 17 53 8 11 1 6 8 0 0 0 0 0 0 3 11 0 +4201 1962 Graduation Single 57967 0 1 03-03-2013 39 229 7 137 4 0 91 5 4 2 8 5 0 0 0 0 0 0 3 11 0 +8720 1978 2n Cycle Together 0 0 12-08-2012 53 32 2 1607 12 4 22 0 0 0 1 0 0 1 0 0 0 0 3 11 0 +10084 1972 Graduation Married 24434 2 0 18-05-2014 9 3 2 8 20 0 17 2 2 1 2 7 0 0 0 0 0 0 3 11 0 +7004 1984 Graduation Single 11012 1 0 16-03-2013 82 24 3 26 7 1 23 3 3 1 2 9 1 0 0 0 0 0 3 11 0 +9817 1970 Master Single 44802 0 0 21-08-2012 71 853 10 143 13 10 20 2 9 4 12 8 0 0 0 0 0 0 3 11 0 +8080 1986 Graduation Single 26816 0 0 17-08-2012 50 5 1 6 3 4 3 1 0 0 3 4 0 0 0 0 0 0 3 11 0 +9432 1977 Graduation Together 666666 1 0 02-06-2013 23 9 14 18 8 1 12 4 3 1 3 6 0 0 0 0 0 0 3 11 0 +8372 1974 Graduation Married 34421 1 0 01-07-2013 81 3 3 7 6 2 9 1 1 0 2 7 0 0 0 0 0 0 3 11 0 +10870 1967 Graduation Married 61223 0 1 13-06-2013 46 709 43 182 42 118 247 2 9 3 4 5 0 0 0 0 0 0 3 11 0 +4001 1946 PhD Together 64014 2 1 10-06-2014 56 406 0 30 0 0 8 7 8 2 5 7 0 0 0 1 0 0 3 11 0 +7270 1981 Graduation Divorced 56981 0 0 25-01-2014 91 908 48 217 32 12 24 1 2 3 13 6 0 1 0 0 0 0 3 11 0 +8235 1956 Master Together 69245 0 1 24-01-2014 8 428 30 214 80 30 61 2 6 5 10 3 0 0 0 0 0 0 3 11 0 +9405 1954 PhD Married 52869 1 1 15-10-2012 40 84 3 61 2 1 21 3 3 1 4 7 0 0 0 0 0 0 3 11 1 diff --git a/lab_1/lab1.ipynb b/lab_1/lab1.ipynb new file mode 100644 index 0000000..56f9be3 --- /dev/null +++ b/lab_1/lab1.ipynb @@ -0,0 +1,163 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Lab1 PIbd-31 MalafeevL.S.**" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "*Загружаем датасет по варианту*" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "df = pd.read_csv(\".//datasetlab1//marketing_campaign.csv\", sep=\"\\t\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "*Создаём первую диаграмму. Распеределяет по годам рождения клиентов*" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(10, 6))\n", + "plt.hist(df['Year_Birth'], bins=20, color='lightblue', edgecolor='black')\n", + "plt.title('Распределение по годам рождения клиентов')\n", + "plt.xlabel('Год рождения')\n", + "plt.ylabel('Количество клиентов')\n", + "plt.grid(True)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "*Вторая диаграмма. Столбчатая диаграмма расходов на вина, фрукты и мясо*" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "categories = ['MntWines', 'MntFruits', 'MntMeatProducts']\n", + "total_spent = df[categories].sum()\n", + "plt.figure(figsize=(10, 6))\n", + "total_spent.plot(kind='bar', color=['purple', 'green', 'red'], edgecolor='black')\n", + "plt.title('Суммарные расходы на вина, фрукты и мясо')\n", + "plt.xlabel('Категории продуктов')\n", + "plt.ylabel('Суммарные расходы')\n", + "plt.grid(True)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "*Третья диаграмма. Срез данных до 30 строки. Расходы также на вино, фрукты и мясо, но первые 30 строк*" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df_slice = df.iloc[0:30]\n", + "df_slice_expenses = df_slice[['MntWines', 'MntFruits', 'MntMeatProducts']]\n", + "\n", + "plt.figure(figsize=(10, 6))\n", + "df_slice_expenses.plot(kind='line', marker='o')\n", + "plt.title('Расходы на вина, фрукты и мясо (срез данных: первые 30 строк)')\n", + "plt.xlabel('Клиенты (срез)')\n", + "plt.ylabel('Расходы')\n", + "plt.grid(True)\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "miivenv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} -- 2.25.1 From 7045a30dc51e8fd0f055e2b00f514e65fe61880b Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=9B=D0=B5=D0=BE=D0=BD=D0=B8=D0=B4=20=D0=9C=D0=B0=D0=BB?= =?UTF-8?q?=D0=B0=D1=84=D0=B5=D0=B5=D0=B2?= Date: Fri, 11 Oct 2024 13:59:10 +0400 Subject: [PATCH 2/4] lab1 screen --- lab_1/screen_lab1_malafeev_pibd31.png | Bin 0 -> 196188 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 lab_1/screen_lab1_malafeev_pibd31.png diff --git a/lab_1/screen_lab1_malafeev_pibd31.png b/lab_1/screen_lab1_malafeev_pibd31.png new file mode 100644 index 0000000000000000000000000000000000000000..729e230ef2b4270507160967a032be16a3a09ee8 GIT binary patch literal 196188 zcmY)V2Uruq_P`Az3Mh!!5Cstnic*y-U8RXgQ3xe;=_P=M(31!VhzO_%NC`#hy(OUs zP(eUKuK|Lhga9Gb1QL>b@!tD?zxSQz$um1=cV{QFvu9?`Ilp)_69ax;VO|an4t~Rj zx=%SccwihHN0g6pvn8{37ca20L*S+o@7m4h`5s&-E_c=Ifllcyux!C1n0S|4! z92}D_tQ!s6tqKS#x<=U5RQ z9v^z$m8ZqCT)q+pe5RU$gM!?Hw!)Y88CMGn3k?smo5R6joji~jyhG#o6V0q0cMxMs zB96cg{X5eUW_%xiMZ`>l^G`~K)U_jUwsb_d&FbGdj+eV9?mPZFAaO}7 zwQD$|Uf7RlS?AQGYuR|5i!Zpr;dw{FO1}c`i&Qznaqrr#yw%zMTQ%XY1!u7FCA;#3 z_Cew~o316j4-|`rk#>a#UOxnmz(!Ri&@4h`i^~Wrq})GD!BCBL6+oU^drxinGG^kh1CuDoY=x9t)IyW1T!wLYn$A6y|@jw%*astz61H;jrh0rV|J4C*^7x zE*g1U9II#CXg3h_cKZ)c)Nk2%X4#HesxMC5Rf%XONCnbVUh9GY^3JCElAzC{*Jrun ztMmNkvafmCNWPhJGPbcidcYkDpXDNcqpp6Pzz1|jiCF!R=NP*A{$2m`nVb9*&A*Qr zG;V{9IcLsdL3wj;zCR1U zPPS^*bd9>%w90Kujy%0TY8&M~M=pHhsJXQHOr4jOgSgpHDeZ2mE4hYzILq{Su5!6G zRQ_3u>SD6#*~aIeTM)!EpEt+0JWnYs7FuSyWlRYZWML0|6II5-&Nd=``%(wqzi5#F z{z@FcdSPq#%3a?l251?$L}QM?G$jL`boLh=s|RJ9H+Ed0)?Q!RZm@huzdIVPE)gE1 zK!#sCW?Qvb$rXhm=T1%fegNMm=H=_Rrq@4|{}s{ws2&im=S$_$rrh{9Ry~huJB8Cp zXxy#h>}RQ|sp|pG&iN_^jc?xY22V#taniSQS-$CZFXC0W?iqOo00yz4P|}YimaA~zD^7@`N-@ofv{DFkjEbV;Ry3WX@kdMQ=R1kwSoPUJmSy%jzsv0 zJEPUamJSn;daAhmGkX;wk&Kb)95UkY%@yC|oF1zc=H&b#rJ;R|7T{0g-N}82g}3cD zo3RdWRdK78Uz#d%8vK3ltb+n`hw;Oe6<4oVp&H>JGX9lsR5 z=G>nqQ!k)>FeH*PO~Lv5&ox8pRqzp`A}QgL8Z$2f;vwrco`!@EPivK(1>Fp7(UN}8 z2@R8f_0S@l<1v=jX0Guk%4L4rrF@QY|1R=PnrH_!Qh7UFH`qs76}T1HMXQuS;Inb} z)*F!cb@rIWGHH_-pvEOMAtxN`*Z7NDoigP@dUeJm084t^QrXPy+q&7kzN*dK6bRqw zJhqhAiT)^R0by&2RHg4YJaVL^00XQ6J6-wiNe+$6HJR32B4;C&A>&iXFO! zV)IOPE<=r|3W%3ns2A>7+pM# z{Fd2x{Wms19^ht&KrEF8HY1-Wi2aq;zVXawC*6xXS!3(9agN3`X)Jf0ttl(O&DzFu z7#73d-xujq-G=JcFwWoQnH(S6&4+c8@#G!E(ltS81f02#V!y*MmoBg7rO|_d!W!{s z;Rs|cV>$bh@MU&JEPyx*y zvt@t%p3Nc@Z>Cc8$Rp%&Er2WbF0C;kl9#%?EfEBezAas_{23eYYA8 z3MaRrRSJtlgQhxB^I<;zH^V_hbPJe(^~-8+##_3i^N)B$)6&!NjAx1C=z zCLI|oR)B4<3tZ92>XrV}6L&5iXhq@U;acOnqPOyjLU%Gv@HWs%LLkse2eu6^yn-v+ zp21rY={KR8nQ0_Qp3>MZLn)P_2d-?%pBdSgVdhc{$Wxt6|32>)&n@qk=QQCKe~NIp zD;5|YvJPw^Adr+eFQ2t2E34@ckG-kL>+ABnsr0$6B^AnmirDmCZuqqa1xp#;=#a1X zJv4WpEdBLIc;h1!=doMdI$k;c4KNHJJlC!SYztmGmsK{n>ApN)w<*S@UEZ9D`vPSQ zn?u%XCD#eZpt&z|lhMhXWR+b@|A>@vru4L5u+P&WDw9sGrjoghCnGY&I9{eTfUkP{ zWM^Tlt~#teQi<|whcWPEN$B{CSNda4$R*d!`0&8h|6 z!>YnliQn23r#si52d$XbHdemCS}M&m9!Wb(2v*cz+LZ^H3@d9 z=vq<}I>PlfD+_E~>)A9aYUw%b@mjUU(gT(>du^8Pc}znx zC+*#2BspwqpT&@x2swTdoexe5{sA@pO@o+NK_JYXK`nZP{-M$$a>J+zV6@l-kqJ2D zXP*wQm$HiMgFAF>c?+s>`_?O6m4#Uh2O=&#Oh@ zi&H?g;L^4r!f6p!mL7%V@z>JfTyRT>+sJ9GYQ^JD-C0#4!pB=&7(yF&a2i24IHU#C zAMLlaP*b@v{|I+mu!BOzV^;2Z--2D)WiRcP+u!h>SH?$x(U>bSQ`hw0ZqU3(Xn{G3 zx*N@IqLeT5^&N+@U%*IyhP6O?)XP9xU!|KD#mte*7Baq-@erK zrty;*QF;)r_g%|v3>O0g>I;(dR^Pc}IaVLqWnh;}+8_LA_O#Kg$P0f@v9PbE7;OOa z28-T~)82}xVCO>#qQT7as^-3&u$5b@Q?*}IkT(*oA|X1+LcE`5#YjsqxvVTpWi~*E z3b;R8jbYBD$=Z9bPE>+%2MqRPMk=pve^Km}lc+rN13F%JnCC>p9hdG9pUPfs6Cr79 zvt4LO%W752EaY`nudvVo$ei+AXYdzAoS}8iSB%SRCc`6#$dA-i)7l9(0lQYSC}<2s z8xD5w_9$mhYO;ijq&d}RT-enHIVoS{w)w&4)~f-Bi)a-gz|@XjDuwys5#6_NJBxIn zugx-S0!=D;>tV%+eP^p2g+!h|jpg_~*n|7j?f{qZm~KBj(B!f9Og+&%WN47zP7U2E z;9nOH`VFyacSgA>aJiH32HFxdQOK|BTl$J|wsF?lgiB$1_$wC062>oO*He}~tKlZCFwMwq}&ZOIGeGj{sp3s4g!eP*ec}yJ*?7LMXvpzhSH6L_q zl*%50_2KJH5{uCE{|+pL^BgbjR{qYm+?ucNIDPKP%gH7dxP`-Q$9pEY_Z4(~mbClm zQ{kok{)Ep{tzVR(sef04KR=#dxQiKW1=&M8@pe4W!rn;yI`%%3sv8d?R;(;63%96R zI^)#{dLD$=EDZa*{kZJps46kwHH@4;eTyNpv^!oT`Pp`)s`t}wfXN2^nxNlFYk=9R zZjfmpq`hPBDtT9{yyg^^67-xlDtA=1(6iFgaXpYnmA>A16+A!Fv=Txtr&3EDx2@Ew zg`sr{4wSEQDpBv)~Ho@pd!u6(QVlv8wB zR=5mn9@>_EVu&Rh4Z>|VK9`1fAeEEXOUCqhb14AEV7+9pL-Q5 zMxnnV0y5IqUfp1Qe-|>;gbb*sUOVNH4K_))ssPh=-x;i^t>lgX-AOB%N>UAaS$@r> zBI4d&yt3_7hXL<(Mwdn6pz>Y`&!s>TpH$-z?QAPZ+Fk%M_j4RldnJ%zB5?6Y^{?MN zgTiP209!+9NzJQO^Jd0vVY@F5i#Ls(!;;f9(D03Du|~|WnpQpkp69$6W7&Xx3DD6z z$&IThih5MWu;=*(><EJ&5Oh9box#ry>7pD|nCM)uX~lU(i3{@982 z+1qbNrL=jdFv4>n7aINNGTM+gJ!ijLwrW}TGc*<{}qAYMG(7V=T}u&<loD!;3~uBj5*^jwe=92!z)7Y?zy&N@0cmI{-$mi(lis5U^KkLRNHG0MBU@%Yn(#I?L4{UOI6{2mtX?DVt zmKxt*JE0>Au@-q5Ud^%5bdzmvzC|Vf02s)JMnf7CafP8#4Ga0^?XgI7oTWBPtA|i``iJ@?Q>bPeKGIf1-A5XGB$R!Ol zRBe4{Atef;#ys0F5WB=5K6LLZ&=D-wPb5HSL3=%r$6?8EtH?a+?tV#^I|c7f?Kt#AGVL6yxU;W(jWkdC4#U$1v08Rc4NL} z`gK5oN42Eu`qKTlf}XNY1pTDwq2Rd>a6a3dIG1`(5tPkO%KYaJSeQWplHsdHD4D-Qc2uRr#(Ye>0`7 z;3*HIpUq?G*E1~z10jI#rDd_&VJqjV`+g<+9_S8aIRFC7R@{PBgYA`yi_73AY%%o( zw%?I>H*>CC8RY`9Mpo#$C}oQ-Re_J(wE&Bnkzpk-a`$wS;qN_EnF6X+kc~Pv!3+NOcsAeVrFksVCFhK z{EP-qHbn%jNi#Q5{hp-e^qSN#8L1qRF4I~%GOZSj`|&0rq3suqh#nDO(#HE&wF;G@ z+U33(Jy3`pGn@*608elXF{SHXK?2t2!fX@;1$Y-9Pd1ofWgLP%+U2s{`dSS=FL@76 zlGA{7Y~9l@LF~jY@zNfpd``uf1_s!Y+U_<_OoU44<%3VpzQ2hgXLpVwHXV=PuWa-T zHawh7Q+KrfMEH`yr;-&ta~3xE)Ra)(Hg6=w2SV$vZ0}uYhe@=kjmjnp%`9PC@#?ws z)rWQ1<4f7Ybg7bZC~#?qyx2;Z`aGt{6*lK(V)bihH9v9`!HO07R2igf(Z8%dV(<{! z0PNzWMJ;|bJp1$b)1fa_SzrLNP*PS9VFB zzRg+58o;k=wPWXgyyiqm29ECRR9qI!ELj+FY`h`3^!Sa{n*)CCdv*WVhSX+27mHs5ZLn1fgcaphMLYaPTenvFx zP|D1_`f^@0u))bN4gSP0i)8JqCklC?@7rszDt#%qN)?N|E*w9T36TPkMU!elVQapl zLI?fWSypn;aHPP@MAn+`=Bq0EQ|N`p5mjnBG-u!70ihyEgk;5~%ILbEXs-Vrdny;c zek2*`Tb~dJ<0?Nk9{O8IUNWGBI)c1EdI01OytsOPJN*>=0w@8?BdWj*OdO?q(jf@m zoK@lKU7kUY#L=dUt(S<6BXyaki^#W2{jr?Sc!hcP$-^I4dJhKQGv7Uaw=}H!o6LtW zWwxIt8EIN9np(Xpyc2m*Gw{@`V^ba&(D@+`gqrTI>{divTDESFXkw7zta`SgbQWZw zfa`c_=97b$3H4i@IwK0Fk&fn^feiawg`rwvvuJZ3Dbr-DJ7p%5Tnt${u5#OOQk)eG ztnT!&(D7{Ax%bfgNVNwskjX{n51bnzY{7d@Xl!(pc`^O7y+=2y-8%8=Ea1802e(S9 z-5C4w_UaJ((Yj`#Z7=-FREdwHr>dwC4SJML8qi&}t8wgElQ;Jj1-&Z4*9s)?=XmW%~0joTf07X;GyT0 z90l`>zZ2w8zrMzKFhqbttn*gI+Xe)GotfO-|ERd6nr%f9=gH!Qpk=$6ARMTCX&9*( z;^*b)d4VJXzqE-Fm@`<;FS=|WKFZ2DT3)G32a^9{$dE~UD@ZZ{V|x2!wfng!Tz+_m zU4+#@DRR)CJP5;;nEzyI75{YDYnW}f&Zv1n7$jpwucG$3pWq4<-9>_4&!`ayG>nlH zX;WZwMk=?WUIyV+bsP@1%JPVdaU(U4pTl^_!58=^-|_NdRG!%65~hFdyE9@HrBilV zd5WgqwD)-U@mNO!30sZ;!N7-r@Ak3DcUta`qLE+q2LiPWfkl<{3q@03uS7oOg2J^U zo+s|gQHpL^hqh|20bDB9W-bLqXp#hr<$XPxFZ>LC95HAaINeLBL<9fU`}VI}O5MW+ zmhQ?jr9Y)+U4t!cj9&q9<9A;GQDATN3L^nR*5=yK*X9aqU+k5|y=aoFY0Kn?Ctvhc zdm5*c;vAkazhuN6Y)RruM;~N`(Mf(;Ey;3oKTykmi~~Wgn#yGFn0N>(h`rWitbCyx zafOoGs18*B#EHJ0Ic-aKhD*7Q`Z1Aelm0^-Gr6Jf3qU91XHLqspLu(@DI2E!4f$ns zQtm>nfXpw;Zpld1$S|&G%z)rds*^S9eysRsl$E?Y!JsU<{e}DIA?Vhx*=3-L6e_l( zhVyH>?<xv;AUeAZ`X^D54Heg%UwCgV`h&s9>z>VPHTxl%f#9Fj~+V4KPw z;)6Y|SDg#@YaA^$N}_mJUe5)6X)$R;3+s}oOsDY<$xmhh6UCfyJ00#iM9nDN8R?6= zd~$-fpB7W8e70vhEUuVr2pk815DwN=#}z77-bTqZ-E2Jm1!N{9eK1_Z>m9{aJHsM! zeIL*x7dqu&Fyl%T`lxaosb$nud(N^F_!lOmg%oOJyKX{t#@P-MA@o4&LfFo?=Q^yt zozlz1X^&jw8I!x6P*7>q^$b?Gx77N@dQFq*ACFq}*rwab>9WGVe!Eqvo4l)2&N}p7 z0c>525kXCe^l89hqYQ+e79hRRVR?xrGy^rBI1gKo^-X>Q^%`VoV=#`8+0|JyLhcz@ z&4@Nr$+V_sOyH5L4#9cD&f=H5y+G(P@EuHZn7)6Zk!I4M$wa-01>9YOr#Vq7yNiWB zc-w_hKGzvW6F#L4M@(;MJJu{Hu4xKC;u@H_0j+whsM!dIAa<##7|l*{)s>j}W=k3Y ztz}f?6X8M(2i(@lP}kx*`gMkA{?7W4V{Tb2sA575W4khIIrKxD(uIw0F0tVj)$YV= z@$(!$&tC{3Qm5hPrBa-n9`pnTw2Z=wcY%|k?@cE8Sk@EIFSf!IW2&MvD5g{U#nf?C z5zEw8RzS?sCI;;!bCXxH(6K)Xle}xMK3eU?Jj}UEGMF>picj6OA&hFsc5 z>@eMBi6@bN{~FrX-SG04E^F}6uBs_bcuESB1E$s#Ye}Nx`J~oJ-=EvIWB1K9{4CEJ z$y_uN=h2V1x9Z z`0?Gijdks7S$PzNGfAmTFNbB9=e<00$P>`k`oN}lK0rw>YkwkSkEmH zwexRH-CkHhdHf&?+rAE$&#%EH7H9K~NE=^aWJ<4sf_AM^p?zgBH$`nUXf~u$CYx4L zxKbPNGon+=@$YWGyM3ijL)V0iK+?~gb)7)XgE=yc(60Q4d4l8R(nhssVddi+YX!QI zpl3>p_xw1fh*mPScZyl}JaVw_OXkSZ=Ih^)iu|5F!lHYcayG6429jlE!D)#I%sZ18 z-7MK=Y+v2o1^k;EYeUuzkYyznbM)@b$PNb;%sR{`iIrE3j}~f zrSQtU)G6dC6Lh{pLbumUKMLyrcF@zS)sv|mfDKtyuc)aq9wp67xd%Dd+L(HTfQwtc z5ygNDkHIvhWNpl-t&m%O3BLyB^1};mon5Mew{L=f!hv=f*3Q#KlCLeC^K(W7&OIs} zx^Lsjqyh3uqv9T)4LM;8f5&TaKzfpoo)D4Fvp7^5JI=-DVG)p(lUl5OcPBL3Mu^rr zBj9W?C7hQ3o=@`lMEkLJG|Pd>+-|uosrx8b4p&tbr3>|t+}oly(MI>VzQfW@@G%td zlvs#l!OHNLxJ0&@4_fAUzXVE|?#Tig_ms&)qkEFur38zVl{d=E{(OA0u@EiLTn!t4 zA>&N!`K!G6-VL?iaa#RPrUQyPEn-`7dnLQ>iLGt>jQ)DSTZr`fv-)$b&pg({>mlS3 zoR%X+o9@~hPJvE8P0;79$opY4D1k*%)vIO5Cp)24iz<6&(b_U0k5^l^Fa}T|W~1-2 z+Jam;hnan(qoz}Slo=cbQA>&dDmTiku%~!1ez1K!q*BV7qip;B>QQc^>um!XGAYar z1N*4^f^BhW#&CgS+~(tj+7@TBt03If0Ovpw|CShRD9FcgMJ-D@JR``TO;?*})Xz6=64>eSoHv(a_*WpOSyN>-Q`rd4Hi+NJC=f z3t0R7(9q`lTX#$FaSOp~JZgHFa%M=S4wb{1pkqc0U(PJ>X?n#lDOdZI*Nigg`2v?- zjeOG#!;Oq19S}w^GerjQJ@H`FKa{3qMt`^%bsx7wmXTgKGwbnREe1rhUfzQe%G=dR z>TS8GaXe4wUx(1Yg5f*E26LNQ$j$P>g2xOU0nG+WO0|4r7v+fya>*ZEfOB5;Lk zO|TKWBwQFe#xJb+0}2?j0_DXS3SfyEo-Aqn&L|Z&fHt*!{6HJ~`u9%3!+6 z!u!jz^WxsmUDvzi(BBry4NcP+u~0w^PkD+7fQMP5xwe*Y$+p>ry*Ts2_a0kZ3&oTX z%(;O8gqo&G%`;msDfh6iSCl2CZyS|#e&`-X0>>XZhW<@m_mQohzC7aR@Z08Zk;ILsL50k&3rrU*85Doi+7G=qu9IE2##w~dC3&LY=&{# z#ddn zNW27bs8U+P*Jo})!4)I?6s_EwNbT!tQ!*yh$F1M^kKh*{tBV7du;p%Q;vXz0W+fUY z$aarst=a%yKZ)6(36+wc__^#XvdE*KRl$DK!9ldS$BqMp1FH`-U)i>hHs>h7$+96+ zu4>7bX7_V>PevU&Cb(95Qr!A-*#j;&qUV0i14|ilwIc&app!9VV~{Y&pEkM&JLGkH zdHAH{`Cbc9Im$6t+xqnfzL{Lf5`I4BGI)(Y5ia-t)3`< z{82rf8+qRuwLzK%Xck7nAh64~&u5n;Cuy_P@=Wf3pp`g{=4wyvM+t=PA>b9XNlDQ! zWfO{;o`ROfpVP+WJ9z|mLa&GLmnKl+#Vm%y3wUZHm|8n6J7D#@ZCB{3_C-`vD?DXS z(SbgKm)kYOtS?i=-}2U=XS}7*j)&}#3=#eNr??I=%5wVqgo7i{OZ#)D2`G3gt*2H^ z(>H%neRNj?K}iq`81pGwZJiK0NQ#b}+rbytgunDH(4I0&Z$?Qx?D>ox_oW&@SI29r zY^HNWh=BuULKT8~QIqm>e6GA5JmV13SRF8~DgjtLL4v3G4qDmE1v18!?4$aLofR%g zs@$N?Xz+yXQwg+0{WBJ>6H4~7vKsuT}7mSCL=UEjm8c}7{(5qiUO*D5c&}!l1 zu6fQF=)&bW7nFXHkNGPuo$J=1y5`3ibv0@rf0m-x)A81fiCdkJG9!U^OTgO;nT9%L zjES!vFvy_u1!nW5Vh;|LSW4+0-EcAyRmI-SX}jAxyst?rv*~{y(7oPj_*0p5wq7$# za9SUWpKkHDT;_(JnJ;zxa}a-t%6$MC>lyGSsdo>|xBe|S zr<)^(GpAAfUr;{P4Y#~N{Da}&%41chxa6PvJU=|-K(F_*=|#HozHD9sSRE2wmPb~W zb9jW+>`}kA+*L0PN()FFYyic+UAbZ8HeVD~Y4bv%Mx-4Se6hJQi-B|7+bn(Af?KNB zLf7S)k4NG+r+-_VoaKLK#WUNZwIP-T?L47OMp*y`GXwzO>=_`xj{Usgw^fLHcz+ObpM?n4aMZY959E zb3}ipBz>Qg%oz+?BCgF+Zrxs+r@C#TFTa~F@(;_xG!+avMJGP)UPG`AOoa?3g`XF+ zhkc~b4xnXM>$Ao)C`lWD(|CTdYG4=Zii2yifuwKsl(5JtsrtceZEBTqU;ts*ko3X< z{aTl_+5mkYjur9DEtO)sGWT1|0IKD02uZwKVGLo3OoPP)gbDnWcY{i)mSmvs!_Jqy z_XK|oScH5siFuc)ZT_oS?s>IScF`GR?5x6`3Y-jZn2e7xh$6^|S@^X0PRUdDrN zSKjchedTnUk;U9=RJz%i$C#Mvig2`#v6eLJ|2TfC;HS9T#PJLA-$YW%xGggj^z`)R zKdl|%OVirBJpL)o!M5(DAr2A9lwmY$w=xnXA0EiW0$*j&97AyF1COSXXp8hlaJ@ z=em)V&(c~5ql}UbTdvQL;r(J4#fs*?H9Y6evK7~-4++_+R%pso@-GVbs22Cw4Z%XM5koV=>DXU2i;dZbBUa{U=6k{#B%R-jl(QL20^_Dfe zf`(laygdOio{X=-3%IE&|A~yT8?MdF;m^#`lq6Dph&`b$$IsvH&@_n_uyyUb>gPwi zf0WBJy2qauB()Z zb4Q0;YrC0;lP+f=oWn^|(^{eKrs~u?!Metd)eXq+S<@5aaCdc7{YZx?4lRhi?_lQ2 z4?S)>c@Ie{SB5fpAUiAQ{VdoV7e`*<&2t566E}1hDfLroS)%bcj)ZBi-UsUHHm>2~ zUnrH}p5Rbd1md*4k3u%FM}0Jj{|J0oO?hLziO{XyJlCLWU~3Kuo<|k%K%oPI2Ox`u z;Cu4!3fGj%FIv2za}dOTDC4aBTZ`*+g!$dnKdNb~4R3VK6@6OEuAo~-f`}0XNmx4h zeDc(_&C}+0n#=Mmk>ftu+tkTn$a;z>{Ox}%$A#Ed165pes)EU?r%CU_kq_AL8woCH z(hxNdjMpTw>o-MRT`^-w!vV8IE%s_R!HN~|^3s#9P3puP;k{Qz(%$3~jp{VlRv4Gd ze)0>f!zl)|f|6KDuP~ZSWlw9a&wZA|1hYf+jz21>;{?8QYV>g_dZerydJM2!wrgZA zzcW%gWDpbA$tjnMG8+A;bjrdJ658|`nwk?oWX9C$w|EU$vL^}_O3a8%5Ew0C<9Ph!X=9msapAVFIaDQb@Nk>|>&9h|8 zu0+dD?P1W;K|CsSlC*Zm!+P?_T*lcnT~c&92EC^ygP2pzNpyO5eM&1>`QWATMr;4K z!54g&`hne;`Q`hE5F*UYYwST4D`jriNnB7eRLsSSuv#fzP-lV5%d~vZv8onXVBEYy z2+7lLhO$5*0+$?(7|;u?ma8*q{3O;wa3QpKFsb@X9~Nxe6WLC#!5?S9h}OMnRb*N_c)!IiccGRjR?qYprYuiUi1qID&=I&xpzo^M z&=|)fH8_htDGSF%Ps+nv81!3E6E1ssgjI9VGO)<4t9|k^D`GH^baov0nG9I{xibWK zhovtdEzc@eRfjF5m})h3Lkt5QmpvYOi&&T&&{V6H;o+1(Tfsp1*ZN^gEQuYB*V2<3 zoGz)m`xH*(tWK*@N0TR=y4iOs?vvg<+WNz^hQOrMYusnX~1< zSt1>!HB;1$`c+06-XsWh&@o)ZF6~{IHB!a)syaJ6Q@0q@s ze)Hxvv`NyL$KTx5E!ACnzHCbQ=9?K0sa-yV0YKOBcQ!R` zhp8c1D^?g1(th?2<&{4I2&k+#z3_YdkbU*c#$pm0W~8;9bcX8>eR{KJx7?3sx_es4 zXaF@&eB{4(l+Jh(S(f9->S(vK^=%8*>JV{8&CRRN=y%HhkV9ZvDu>=QyRw4ORrh(< zSAG>QAWal2HvfgPSN1jGQ~a~lTX5F|DfJICL{CfAAO6A)%321tNCN$~rTzY5eW|LW ztd&6C<5KF4*3_i=El*Llp|`yGO06&?qv2RaRD1iwFIBuD>5)3<3;1Io7@5QRtn&E~+SFG-rp=`L!geiPAN+$L-PBs^wc7mR! zMX?lH-6O8f3VRpFI|mNtze4hNpub9*cClr3vq{MY@=C^sOzo_fkE%RH1Yc9B zF|pB;PwjaiiCe`!+O!LukYS`Qz1z`*t{##&ScqYe{MXB81p9SC4w3=+$}mB3zlVT9 z5b40L3XBst_i8gae&@2o4cO(nQcOR8K6q4nKJX{E&;Af)If7EWTJH{)dB1}< zC8QD{#16;R#bDUfgVne{RnW@rm)5)8K{#_1QRSUjUwQ+r1tQK)C>avcqgK%KVdb{t z+jtf;7;VW-G8osr8n*DIu5JW++jzUm7LEPA*%*%b?4_n9Z;#&*DU16xLavSz5OW~h zsRSEsd(OvRqBnCd@3pKqug?D6J!w6)S+YHhzXZyK6_4_5i}b-8haIb7>1V(B@prDK zPztN=-&d>tc!4x{t#ezK{)GMmpS;qAz0NvRw-YXim^5x8Q;4mDOLSj8c2p>d2c+$Y zXn>;Dog@U7owR4_hURUbIwx3uCk?aRPpxjL%8b=VtHXD^<91h_2nTsn+?1O&T=;Of zk4k}O2mgFk%`E}f5|io5G8J>>fTbXik9m+kP`%lT>`Jz82SGaaXPp709!o&(tc!c> z%fOdf(U4o3PfxJ^mjjZrpaC&(#!pN;L zMX7y*HhTX4<}y&kQyvBzU{c^`K+eU8**JiS>ff`tVWv-R_12A+_PS~+& zZ8>t`@qNeKZh8iWsMOxjFjy}=dW54v$HCX55-hjZHhSx5>$gz*UxAN!1Ir;nOT!!5 zR|P3AM@3U^)@*;!vmAQ+{K_9RjjgQgc;MFx3;S$ApWuLVIGN!W;YvWL&e-Js>T-NY zJn88>s4k;6q_*u+JWe!Hpw;oJyLPbFlrxu4+Z~y2s;Y6~E=BLQCC;J0I{&G1%2Wt8eH8%>)1u` z1_&-ck`o8~%HV~)0KBZ=)Zr@1EWg(*Q@UC&siQkBYpSvNN~LI@==IyJKW&;luP!I{ zKISsw)lfp-tFH|cxK(S6x>e^o+te9={iQ3vo{fEy@a+SI)Wu8RsYFr5&295I5;#u| z2)63tQsoFL1m&)qcfVW)Do4&lJpXpepi$uYKvsH_TaRx;A=s8s!8F+@4{6^SF`9e% zk+Ze)UR4>`GLQNXRyq8e_oz>HW`$YD-L@M-4YG5^lJD#%+oI*6Y+)U{6+dGT_l-@PWd130~iXU}E?wWu)9^K}2 z7#lybBy-jA)3}w~Gj1pH9%!AFLv6l)BqCPnH^>h7{)72+6M3puX=ygt?Qda7{M_H{ zv!>h=U<(a*x@}})V&!&s!)ZpX1lG__=kgxzgDi8p=v*R^bU1REdn;W=&UA*K3MD1# zo#(_fO-^uPJXr^lS6BNj4!=Y_5GXGRN_C=u+s$tq#5BSv{^6hL-Vok}BvJK=0W$!- zl2*}--Yk}CvC3%U-6{+7cmf&f1C9mGefa_!f_nS#z*33jWuI;9xMOz>Eh8OGlSf`_ z-Y%*~?9Eb9uEx9aG2WKFp_RwS2(3ocPxhE#33_izKM2(Nx1aCjQr+Bq+zd)IecFHp zn`06ZeT7({fbC*$9&10);Yj?Xl#%b^!!MHi$im)NB)~f;D15-ny>;x7 zPYnKRsWBd9-3C_ipcmiG{c`7!o%UY2^{PBoE;-i6Vu898!b5iycMj%Kw&vM?Oh_(q zadE>o(5y=LS&Kj6?tzuYe6A;QMdfN7&LNGSm97i}Kj7zU=os+tiQWt=u&a_Bhoa%a z%-IEp&{@7ylb0`RKli()Cty(e#w|ZB>L75fwx@YqzFg8C00^IUOK-|(`~23?jm}(B z!8}*U^=~HLxD@2`W#++x&_MZ>NJrILIFI_XxM%bLo5D6KAf^qi=-1zOx`?-{Ib9zV zK;>M;c;)X(Cr&j^`+!EeCge5_3;X-4@1wQrE^UsZ!jO|PtTE>Hm=7ghC2qP1MNEsa zTsL-XLB;s28tMEaPP|*KPuE^?{k-7sav05~#DoR+M6+(zXnwe(E+ZpF?F^}9;3U_E zt!LSQj=-5GE$UBv>EHW&y)K&_P(ygal}@8EJasRfE#FD1^j$zQ{(*v*Rd{)M*9uZh zUX+&s1RMI61l@Kdw?lhGg9CAgs!A^3KGKjD%MB|ukDUJ0F6tYQ%(*(O>TU0G3Vqbw zD|DpY?i5<(9AK(HH_i6y?((^p=XBW(<;X+nbHT=Q$S#|wMK0JbD!Y@+ajh-azXUxx zH?HWIbF&VMRd+o9V{PtRxop_uz(g5uJAJi(j26c|nZ#oUoSrTJ1`Eg7M9Id=!NZZt zmHk(`kt#R-_C74+f86a$(48}Frab;6`tJ4g;rE%QEn?}?4XW6%V>I?n|4a8M!lKXG zG@trOi1Ss3L$+Hf#^PQAdXj6w@h2?TCZAvWUFXW9^6&uG5SAm8z3U0}UOWGP_i}K& zYt!d}73-g&Sc*HVh$mFuKKX}X)G#}t|I^QK?4sNqk3E&m2mkiXiM1=fj%<7nGO_)l zV8mT@^}itHe`<2AHcXXtJY`Qnjndxn<}(4U;S(ffKX^(Jb7^ZD%4gelT6 zZ;J|$n0QC(MOsT|hTPJQqv&g7nO{_%v z%XpdIc(fK3lD})D@0+U7I+JnE@J4020=YDvGmEWT9Iy@bh~0|P7B8p&tB&2tuOE7O zc@5A$iR7o$$CjTF^`*LwttVT~XtNbqrO-FgoYyl?dLM}7yv>;R^b+@)`*2F?u`%k{ z`$u%0hFSij|Aki-;lwG552t{&uUURQ{Yt5SS_CLyg%!ibYYJcmi-X0POzAdg} z?z+E~dwx@F#J$R81lQ(9dD)NqxsP9Kd)U>j*EffX`VaBSk$EQ4F%SA5e$~v@hBxdh=JQz4{HD0(LiqYO^hph?6GWSUVj8;8_j(A z-{u|F84~i$J$o=dO$t6e;Rv>7J@qy%hg-`V8;MP@GKv8F1|zX;CI?Jf>@K{>i}>|} z7m!vnmSf3qU|)`}am};@-&H!RRY_qVrfEq7Mq9-T%bbI6ZvVHeRP4sA5+7~Yaqd-= zQM$;~99NOfC@K^%D#Npi%8JMCahfleH;Hv_j3NRhyPCsP5K|( z`ya_4RrZX4{?J>1`)?1kLEf`{*hotG+!0ul?v)>`;WxTh*QNgN?h;uQi9NmsZP$a( zb65U@6aPDN&s|d6%3wpt)A1-NHf!YG$=R9mm67w{-bqkaF4U(}Ge@6*xn$J_Q0Z zcWB!)Et^S{ufJbNNlWi^|KGEQ+DneNe*WAg!a0+~hCs_JDjKA!TSxw_2>)RuY`$jF zvdYd&oz#%>{n?!?Rd5kI<{wj2-A?QK(3{3@dP^Mfa2GhJ+m+;i#-4c5%)}}Sg)Bm6 zQZZYCPw=Y#%%~J`ZO> zsVz))FlK8hs7D#+>!K5T{5jp@=O^dfh^=^B^4i?<9?_r)8;?+(f#?qZYyYgf6t=~B zwyKQ+q_f$Kw%SUUXny4y5(`arfT}lM02maDx?2OLkk=Yww5F6~Q|3?DtCnin( zTjZ_xiw4gQw>@ElRUWev5hm&+Mf$2EYo#(DG@3m9kF6fuobjn{>U3loSZa6h($?Fk z^OOl&|7j?7j=;SAU%kU|?_D2K@Xxl4eRG3l-A@7do{q}9qP!vJI8k>tOZl*#3l0b> zr;hjxr8~mB;Co-ie1|`?eFL+&+g?GwP1DYTr&d2)39G&OOu7BG7we`xT{iB}0^28v zm)V9dCaUe9NuF@7XzQmn(b2UO<% zW~y&nMcSqQB-=l6hT9?gP?SDms!H`^N6`mj>bQB$_W_5$&IohCkh59XrqFpy6C#^bYuoCRQudv?t^O}WVbP4xD0bH$#NHOCi}2XA1XT(O3N`_Pq}Dgt3+$Fd zEYuQvxFlrR%ui^rU(CAdeD=`;<#)0VC9(se>>=ZT^%$f~K)Vi(-Fvge;UC>*EN?E; z>3G(BTgV(c{!%%d;_Ls&IP8sHr!&_ph=RhiZ%5TvO1`iMO*-t`KipDEN(wA@^@~9= zN(MbU!rUp=ZW@(q-FQG%9~MB!-flj*(&!bxK(4T<_ub$6|MB+b@lfvX|9B}Xh0}r% zS_z@ZOtvIRvSk_jlI+V+4P&QLI+C;@##XY;7=tl07z{Zf`!<*vLnZr+-C)M(cYB}H zIp_WPeIMV)=l9QV{_z-Q?)&yyuIqVS*YkP3#^)BP7C~={o_o>#9}E07pL;{rzda>3 zXlJ)tK=3m(V7QpToa46n+Koaw{zN7o;S|)P-*IRYa?8LY16g!I`;FBXrPgcQZKWq5 zFQLTI1B(Ssoz4VH<2h*MyO_mSI;Hit&B&EYyd=f)_ozV>8 zBpMf)QeEDgY4DVMxO3g*QXfq2=mKQ(is8Lys_RE4d&A&>xS9qiR=tw6S?{72KZ}m^ zrwpQOlr;hU4?X%!rQEp-NBYT0{cEE!^N9k3fM8;6_pQvI zd29o@& zx!{R;S{hIN2Yj6HZS(UQqB59gwuZY-iFh2uYHNy&+{=Qf!bT? zw#wZy-R1mYPUYAO7@{%*@VpYgizIUucG-?kZLP{y8vFSvJRA*DEOR1zNzQzfcJ>I` z0v-wq({(WquSG`Ps@(z>VHFs^x-v(n)jpV=$f?W0DDj228t9HjzL(}`vxXWwR>+o$ zGlN?~*7rU{C-!|dTlRMDDDZft$$n^+LsZfb6z(STLNa+s)n$8oOFN-4QXSGYRjaXe z)ziH}yg|ZWAvuGSd!jH^6XGFK9Vm~AbALL)mx{c7Z*6mz+2Oh_yuqu2;?j}y(|{?hNmp{JW&R$9 z`6+iR^is&%Y0h*(cC{faio;rMit7vdEP9cY;-~oR+u2LmS;@tZFMDL1icmc0a(cl* zNV2>7-R!g+#3TnVOqF*!Hrbx$w#^dVg+UvdMamsbb$%Li)T0wA>8RZ^76Q$DL`6F5 zH(b?z|NivruRJt?X+GlFou;9hoFg|NqSsBXz~@Kk z629v4mXMTcDZX2`H-B!;{~VTY#Q?l0P>WO%{3!wW3=P`SqxY*@ue6zk0JC zp8OVqwEl>;RO722Vw>URh&Ij7bQmGx1wLD)DLv(AUELe>9qV*J3&SueGTh1e8tL0? zyHdNm8Pyh-BBV5i=@P|{thgPIlG14e658Os)pFgTKUJrBC@&K}J|ggc=i4BwavqMd zy)Sdu^9T_i@S@@lPj&vB!vV9KS1eva)U@+0SGxwCLNXon@*eph)075}ytDjj_~rU! zc1#_u$Ytyzx=Ic)*fk|!|C^d-?!{?Sb#zS_{?xlwiI0oET~;17{Cp^e4aeon@v0A3 z!Us#7YTq;Dz7^J`gAt7_uTC*DV4e5cRw2vpU)LNN>TTq2<+CZs|BV}MvWAcy24EiD z70@7r1!+w_;~{8hcnXV9(Pz#8-7T=l>M-4No<_Om;PVrNMUiS2WD+0FMSqFAV{`EQYTY zY;yylFfGfBodT(-OFR!pHKv-4DOmOeOWdxFt8#0;e>gEa2W%i$U_E{MzJZms7G(K` zw~>;vu1rnujQov?=P6L1aQP_!fQDq}_i|7Um3QAuoD*15?%mQN(BTNpbK&8)8n-F{ zKSz?^fiRrx%%n?v{HntKwj{SV5@_O6Ndq=pbmD%#-}@%b$s!+~O30XH`De#$RcT)C zYZPq#L}qbNV&rEngS$F(DNVk0b6F8{_jYN`^keR&4-5xPy{vH4 zNQ)Bx{Wbu&mV2$vua~GDoXwqbRyFKm3)o{l6FJUHlCL?Nc{!s%8)vWmU+VydGJ1bu3}&AY#3dZ>pTGV6JY2**il z(!UCTE5r4SZq+-82gTBUwJKmTy(6_C?; zH^)YMkVwK4PXai3q^M=uGB}5^H-9+c?nSyH5jvH`48`NjWMd3 z%f?Qt10ZS1Kwo)_6>)zf0xp;_)PuHm&a68HQN-XgR&PB@CP9f&$vY*%targG3LtK=QXaJQ|^jqO;) zxYqkBbYxUVn z#Y`K~_Ti4xma8YDJxh3+`HvU$9ex~5GGqoqRt)%QQUoh+OgwUP`zERe1S=uxNDy(orgEV~phT7L6 zAMC_{<}3aM`3LVG{AUs#Md0{wXzdv|3 zf2i}qBzisUWl}eBblm+sCm@H*w6*j3nef^Fj`=HLO&ZtaqHm16ToFHu&xhhylM`dK zJDMiW`$M1n;^%f20Zka8MwRM9%s5Oi3Ls2Ju`366;|%ATyEi=?8c!u@eNP$VG`Q6I z+Kw&jmZnhhk1sgvfvD%miw8AW<-4RRIn~HPQ?p)7kCI3Kxj@TuYSJ8R5EG?x2wN z84JmvkltwNKZm;|#kbMY^6@rGc7SENFtJT?3PFqCKaXT|i~+d>_^wO7D4_g@v?MjD zfz(e)MAMLm4s6}b&k4Mn=6EXw!$U$gsb@Y~WM4kA0tx$yiQ)Qzzar$W3?Ch9N`$q! z0vEm#XzZD80EmkRUba1eD(xb*jzP|^6$Z~Tju$M`rk&=Fk$fjZ(5f{MtpHX2{pen? z`AII4R6i{>+ubk{ls`S>_i*w6_4McTmC|?($nqwD?Wx-$&!(&+2Dg&C9lsShwTd$Qc7_D>VId|)dKn2cpiZns7T)0ivBiDm0A%ZxwCwFla7TtZ_ByCg zBeCz|s-LrBu7|^G7j0N+hhz4m%;;oAU$6~$pX;VaEEzQU;r%`OZ_}3y3nadjy4j|E z;=eR&C`sa<@_)<=a0yl@eL6|h1!0oBzaia# zl=b8qM7a6&UF^sWqgjyap$}sUkBvj5=?&_hI!V{*pa^BBS}Mr&G@~VWwm4VSd0GBk zaZcd-KE>ys8NH^N!}mIZKcWT(;%?o4MYRZ!yZOxOD&o5d(%PB+TugP?mLk2ium@}n zL?7G^$u;&YhNycxd3lXN>8ri`LnA`-4G?&B&7vmu#6V630IO{1zTz3td&%tI);oH0 zlP=F(Hq0w-NLjxlepA4E_O#V)7gjb# zB9~1F>ASSY^JSeYe#SB#)&T(8rv>2O-LX#;J(hland`W7-gd^TgAKXjH;S4WzYRhM zh(Fpnb~`4D$?(*(>-LSgbkq?-;sFBkv*BhWuIpl#4ypEzr1CUWV75r?=NB>U_>Uf& z1(DaX?b51&G!^XWYF6uRY@J6cn4ODvg7i8Rjwhi9W`*!K$R6~iU zEuD^baITooeS$UkyQqy7T*2_v-Tb}h5^rSkP~R}eb-FhXzA>Ik+^26K9aRCwr#Jb~ zE+$Rrn`oT8`NnWoG>Q1ok@wS)er^FQAk)U$ljKlKg_jgpWW_(G@!hQgM+Kk0Q{Z3v z5WT>Y+Hr6l^7{R2oK<2()XkeWhw;JW1K-_}w1FI*Ga!JWK?%XA&}e{Mrx)9~73sTX zqjqTOq3{`9+(%=va(kW!O`pW8n7J? zO|EaA7lC2Jg?}(7YM!!_fDHGXq7vS$#s|nTXiOc}48gDM=O3=OgMH2ja+EW&hN>#O ziT>mFgE*B3!bZ35ygroj*7oDPeY}HWgU}RG@!sd(tmdRx^!2fztr#Ga9Ke&4y?e+) zj1&$eaJ~g4C%1kpG1+%JEnjWVXQ3mf7Bu$>4wBVCS0v>WSMBw?VA$`HP{Q~7;Ff{m zemMG($xW}H-Ke?uxT)iii4Ot0H}N-Uhdip0&&FZ}HChDHr+q{`Zur(H*&_Mv8w@;x z=XyqB#YmeyOMB(ZVZ<%`p1+-G6$r2ayHEmmxHi z%op*ilsY7j{XQd;_vt*s-rn9D)jY~KA1u7Nbl(F}Nm=#qbdYJ>bt7B!Ma=D||HGAatN{&~>gm@Cjr4rd@0_L1xxN{{9+=|hQ9q1ys}FesxuO1R$o zj&Ob+S$C6%>l(zqm zmRBRU8Vk85$v8Y%@~|P%-{}t)x>(FOvg){xO~?&uy7wHGUzlORx&yNrA9g-_`F;bh zsO?ih$(jp^x%C*HEFkF41LsdiSHsctQr~16>9`0?H4Kus{27R|mu`HNucv9hDiwHb z$Qep2I1^i^i?p^At9zzg^K*+6P;YZDdmulj=1zdGGC_$ANR8{xuy8j2l%%d8E}joy z>0vwveja&On>}{U<>CmCh?%q2Mo*kQ9DglWB^shx2!NA;OG7KpmKhG#o~b3y(0P#~ zLx?9&SgEfM5i}+PGuABjs-CMy&16EDsxRlMCSTW>p#~B+|EX@}P>RHE^7<#2)!iR& z<%6s-yq+R6y?LXPwY9>Q+(R5Kov`6JZAV9c>5sTf1#0!}TgHtud)XgqkN;Pp&y+Iz z*YE;A9%xm?H?3hs{XQJUV9Ag%c8gFA|qfr6lu#p;m;dHKCOzpgvr zH9h{rYWYBg4scgQ(ALhhg>*Bcl(!120t_7!lDxOBuLwD|9rii z{146GuXk6n{J;-K;pQ%Czy1#B;CRITFQ5Of(ks-F5a7fdhMD37z>M#SMMZYINI>J) zaE-wCgA>>PeOu}&-l#6lxX%D)eqheeb^*LypTxc^`a~qkxPh9cqi^$yI4+BOeWzLb zbm@NwHBR4`EX)*9#xZT8rv-kMa)HY1))cAlJO(49GetBf2-IHiG$J{95;ixaICDhd zk$1;DH(BMsbJflLV~m4Jl{$Ur6W-EzdxGKiL1+%rHE}SgqhRBo%k4bCbvl;4$ z*+MDWmG^^23K5!@&&oa=l|1Jea^`07o4%iIL-rhxAT(Fi!Y9z+JInm^w>kh1t2r(E zL@Vz3XWaG{~(hmA)A>ox`iw)oW47f|i=*~5|yk_bUHcb1`T6l(cr zhfw<$?Jobi0KuPfpSUqVgiiN*%q={dx1lN$=x(E-jde1Btn?)s3AN_KJgV};dRGzt zutT<|VTQtLReKt&)yLlM8}0|ij6O@H3jVtseO!o4-mZF0gN93u=BVp*H8JeNFNO4D zie2(k5sn|avrOJrHn?)eOJLqBfhfvqg#`?wnB?rQ*>xary+@Ki*|$4^r6 z)*n3=yu;A{8nW(7iGrH}{s%2*>$5!zzi)`fpOkp@oYH<{m~G!a0(b6AL2T3EY`hIYpDaKg&FqsVvP>34>k#+Tp%_tO8xFA(4@v zs-L$oqNe{&u?FrM6Q4qRdt*56wA&miuF?PdxtN#_L)BpQ$$zT(JE*CNAWFMNV0VWA zYdh-8^9%ZFGlIWKQ?=7fKj&c@0+32f6H9_!)Q(+Gs}sF8NI9hPXBYJUJa)uXh z7hLH*6M#P_8c#F*QpoIoOg=ld)^zQujMwHN&@Tf6^fDj$C{So+-FtQfV*@NKL%N&{AF_Zd-{?my4uOZ8M56oq< zeo95chgpAv1WIPSpb3(--D&=>SNC1@_}=K-_c&n{?bhntm=~h7?8Beo*UIaoUp}|P z$l&S!B19BAboRoMH#lum_8gO-OmykvL=zE8V!R;hZp|On_$v#kB7c!#wy$1{xo@wG zeT3;db&sfJACLE58N&Ju@P(z?_tyQx*#N%WfduT&U(X2qcrY;- zz(e{W{Li|!b$RvQT#f(99Qo(V|0g^7@!u?!S&4s7*#C{%@qhA7h!y95tkCT!y(Z;< zZoN%m`RCpLe30D4f0>LH*#F+K{Ew>wZW=sY`_Guxv*Z4~Oj=<7zyyFY_dl5{|F-Qf zCtLn;o&ST@^8fnZ|NE*qM15dy#6SG82de`AYv=Pnct2I!{I1^FE+pGPbyy${v{y+(WY^y~eJ3yPGyWby0GiMdVNZf`Y%wOp2us-f zY_ckI%;P6s*{05;ZD6yjRh|@l*=QJ%{`2IkcgaWm-RU<8*bdMT9X}1vSslLpJNQ4x z0su2cE!ff&SZ4cD^XGxhYa-nhGdOGHGf+Q2AyOuBNV3>VCE0c}@eGsD6AaRMefKFW z9$0_J+YPcKJp)Z+nnj{V%1H-n2}A9yA*d(~KC4)J!DMYZ~Hj?JsXg>0bz31(cF1`*OKxRFa-9MZ&4|{bpqIDWn_B+$(LZCdbFJ?!TP4O|C zu&W7sqV(sB)&@X7J}F3NyP5r5>t0ovQeY2n%P0O?a}TKLY6}vp_v7ait%ovAWgi1) zDs(`Z)L>S<&XxyuWCH`vU-g!#Pz01jwl-D6S?^R^M>uTfz;?C?N0+0=`8A!l(7<+7 zEONSNbznzJd~!l})%~~Gv+^4NMJE{@p-uy;yo=VJ zsLXGoV`o@5Dn8A<_*fnTo6ZBU&wF6`+s+sHj`Ml2=fVrQtY(Bm8KB>BuBL5)8YNs( zksexpq|$isWe>~R24lYY@?6Qv(X5eMTr2cF@BDezJWXGlu*MhJ2K{D$7;=3Lk({03#sVZRiytvNAjs%?gg z!dG=j{I!1`Y!1j!*SWeXo@va>Y^4F){ zbcx&6E?FaZ+g&_VCYzg_I3xesP_uXcp!6$zU+lE#iP+ z{(!~#-s^K3of3sUKReZOOC&WUe>-$~D_OGk9=(Sm=oI5;5I86Bm=f(zhRe6Du?LmP zpClK3O9YjiI?o)6!M+;M)lPon-|J`3y385KEU#rAS*rTPI{epj7bo36w60kGdz6fd^T0eTJyYw?G{aKq=xqtw7~wt z2owEA+R+*261P@(%3;V{_;yK#`+QZxuzz;3{oIT4M<#lz@s>??%7GGt=L{SPM656cg+tENEp_|9z21%YJ+uMP5-$C>1o@$t{0MNH}h zZ9UU1RPNF)^@fHbh>Qe8;tQ|&y3*77W2W&o?e11KJo8F8|E{&COiAR zCr#c<-v7*n&y_a02Y8Jr>vdIklxSBH!Tkrm14}%^4iwRQ0I@W8lEWgN!I!opWX?FD z=i?-(DVjp%4SFHi_puyX!pT5!aesHxm7%~^ zwEia~teA`Ayg=Ro%D99C1&5+#m!XHR&`7f>F7AXn7?!3?ZbQ`$bBYsOgt3o^s-1Ty z4SjBC)>HV4u>&05!t_a~r5H)=vKx7lKX5i=utT}rwKit*R~&IA+V?PY^JYlGkmBO^ z>%p~e4hAaTjarB^abTmnas zN#;EaW%FQ2XOc1S&a^Y8;O4C8CiOri_0j8+(Pi2f(P0?Nr43P+h$za&1f9lsMyx5O zJIX2H5^G1Q`w3{5lE}7M6yDrie##+JU*dZs2Z^+ryLH5PoSO`#e{qQJK(MZ!-$e*Y zs=&i`iQ%J(4G{&^Y#K}8pue&$8SKT+_RK2?-dA)-!+-l|o$XgWTLuVqOft!lM+}EN zdV&*Y>V7|+I272eg;0}CsDJTRv2;T^l-qIVl}XlbDGx>O^rAr8LOdVFm$R@6f;!Ee z(mGu!YL_gWTw$_wuL9|qGVPUsl+lAP^~U>TD1CO41S7^`Dpo55;Xo;X&nHjPrbF6& z2A=ArC;|OwP^0}%=kTR_(g{F#h zXKr-LutvlKkLTzO&RXhzJpkSNRLo+yZx;60T9F>4KKct5y?mN}Y@O+OkftS8MmTvd zBKMV3+8M>U;yq;NG<7g>$Co`Y|3`zgb0Y1f`|P{~I`OIb8+Lb~mK((!24lZeh1_&n ztpH@Jh#t|i0iQhgh~#Z342o!#u-jus3cpv~krc5DUGix{2ZqaxHe2S+9W1t+UByMM zLjCOW2EFgTV36#PY75%tZwZ)~389MZ){Td;!hqP0f~n@jLfE z1n&BSIEVE=5?Qw-X!#lT#HN(++A0>bO7sC*!4J+UD}qNz&bD&dIn8z$3k>*;#=!KR z084t*#8cbGN1ub!HabHCDJ282vFlc1Og7c}VpXl{pDSsHcQ!EWl5d~edHmrYa9VgB zG7_K%3o&}*i85SA7i|h4oC5C*pG0Wl#8gekmi^fYuCw#r28m(;`Xjdlurib%Ao0E2 znJNzB{egpNAEaU#?fXmc23eskGA5D5NW^-*G&8>sj;nhwJz##htArGDeX9aG+*&Oe z8Jx&OD__b z!`j5BF4B%|%#l6L(3CybZW<-j)_GRAC+6J`)*Rxa)1?NRGHZq@Ke6|M|}}mey;|z8`iR^8OpU=6AKMNh|*89 zLNhA8ENu_4grqnn&FiqtAeN54lU2KPZ5_TkGRebf=8DqHIjdL`&B0BnXW=Vlx(3d- zLjX&!r+TftRaVYw!0LN5kGpmIo>a7UnOB%2F8l*3hiH52li68Yq_W z(kKv1a;iYBvYG}}{Ng$S;#l?IIsE& zorG{(&cpYZNROhdaKNMiNP3ygQ#aJLCF&hQK-M~uQ2cC-f#-zgn)V^CCTC2iVhyPh zf+8aEkw$B!+|1OK9k9f;Ar2e){EowNe(l%Qfgmh;Av;b^yBKLdd4hOsg7+CJwwE(M zgAQ3waAqxt;ag}~Gta-@0~D?$0oh1OcG?W;M9|*`Fg)Mzp$l%FsIPKoK9o{-|H>!j zgMtK{jao&Zo0sH;$zVfwuHdHNNZ14D%qnN1E5j}L$#1QrX-*0pjQ15CiJ4U}dD!qU zQvsvn-4_MN)@AZhvQG8JlI38s?WIqgV-RI4mIw)vKkz%@-@D+r0FAw~<&?9;m5iMu zSE|E69zdH7+EHfx_i5JBISeUoCw}l{34Xd;+Ab#0SYSMG=tr9H$dxuqP^b}%+*L__4_`^2ws*M%Jt-&U8%Ssy&zpO5pE5<9GiOt~sBiHDab8WV*AaGI=icnrOg!rGG?Y7? zA4Pp|U3LsWIUfrc0|}jFeMuS(*I#I8kR|WOWkz=f!zXhw)J>$yre4pIt^)0JH0eF-X<{99kR-8F5BK2x2t#~iBzl0 z4Ubd{`(U!n_B*Q84)42A^Z7UpTv6?XEpW*g;fDr>RM1%*^CtOh9nSsu!BkByzN2*4 zeP-2D=Cjng1!N?vnEOd)WZlY|tYrlFITOOJ+PWYx%`NZLOs8@bip zjV;0Vs45c_dS^biHlqE2YRO2N01 zmWl`zU7K2SB9p4*#+ZxA@QxBDDI;77Qo*^}l83a0S4vULSE}U#R|jz}0a!mF!HXX$ zwh6M-GqO*ZsW0F&iEEU7X|KclY?%yN8LsZspr9M`OE|5_3A#VKs%`6T*8zk}U_Gvz zEvP=+Svz%Wc9bHKY#zs*4D3to^wMeEV7Sg#_1vO)jbDs7<4*m3e-j152@?xnZ3(Se zQSXrw1Lw;lqW(m{k1slBlDA-yqy;u_?$cyx=`U5Ylm&<{`f*vMFwL<=*IWiG z-mOtJy-#Z)DTeZ?i^dAnomT{5-@M?)gWpmP!>&_A74k#%THKeFPBB_`9rC-kaSu&W~`|i&>yf$vKGgX zb|wuKu{D!C4I-6MQaau*$B8(X&G-`6%2CYeFjVcg>Y$2)gIb<%Wa5HWc@@Wu{97TD zv@ap*N9Zh@YjV~TnD5mo{tkSoiJ?qU&%JC75Vz+ceC6Fj&eU7k(Y@#yBAy?i z85};fsPcW`8xDCsuy{#bNP{y5W)+-^t+S{LjpI&ds4|{SmbWND(eq~|q-%VWfKZp~ zn-wL7iomP0*x?qE8&X8(_f?z|C16Y_B6EKAy%IzAui?7kWAQa4@^rw#Nr)J6rhf!; zEZtb3AjCnVk6?7&?|Fjk8@SE!U7=C*v)YFwz+wQERe9 z4~mdGhr%J#y<8;8+L(9V%7c+DIl;***qv$RN7^Qa(38(`v8KdMshE3NQILtmuH^MY zh`Ru4{M>(i_eiS_E<(AAD)lqx!eq;RL?m%JEhRh_w^E*aeHB}mE3{uoL@AVhQLY-Z^l{;M zjY|g>^I|5e!1$fB7vfvTot~5Xp(&MOP~vI|C^S{F_C4N!mJe-jvX*#Jo*AAsBXHt5 zE9viOIw$_&Xwj>inrEwyvDiiU>_?4} zkcFePko}Xv3E$w}-nSxOXO`KkL7u1)BRtHvjUJ1EOTU5hI%!y^j->W z%x1)^PxWFD&3Dus^c?_~3g2{R51!iNAdAt-OJ%BS=n2nC8&`ax>|TO-;!I)|$p;1> zT&3a71d(^UzSeVDK`6@rzY3t?THKHqf;NnNZjN9juzqF4j^_aw;fJkZjD*%7vzYQf z@<|A16J`O3WG(I#LW5pWDpyDy`mqmIvz6{^waiEmDAiuukD0651a=WooyRrN>f*Y$ zW{CSbKHp)LUchQyPNJ&WSSvluWJO3Jk@q9M=i1PoM8Jh&Mwh^hP6NHV1kk2r)ksvM)B*0M z8Y+wxETJ(R7tU2vEZ_GA;mT22_uUMJ>o@HY0?wYJfOd}DFp$(hn()Tpwo`xWUsy>8 zH%)T6@43H{$b|zyzI`KWo;dE=8a?anFn3FHe*m>T%=(o1y#_~wqrz_&>%$cyutk@% zT@PPgVEavZ=dK+{>R*v&6$C3Ga3+e=Y?Y1$sJlhzdZefEdWb-fa&)hN~%<*3PW&d!)9me7=I=-;1o85ggfze-zwp;A;z zQTA#{msBbDRO_mfiuJ!{?^zePrHYBOmdrl9$nUVqJ>;-HhhlZB%MRTeoA78~9}Q}6 z8Fr5yd|z1^n;FC~qh7;xQTd<=_@WCMM}lyt_85PpdL^-9Sx;HNkX4Sj7zz4B)OJQY zbdX9u*p=aw%TMu`2b2yqV!b3dDBx728WVz;T^;<*q63zk8Pai!j-@Cln_XBA{6>E+M4o{o()!bZ2U@nHt^80sTrKn&Ue_XFXXstX)F+as}>#>G7{Gz0X6^JHdwoj;L zUiJPhdtmhDKtb+tK~&*4{^6llV+N#1KfEQ>qK8jY6Q}L12~9{aFc}@v7D!O&t$5al_*89T|TvQjj%j|Df#%}<3(c$nwC&q+e z2Wdc(K_Q+@Umwm~DJ1UrExmK)(}zEy9?^qH^kU4QixFV-X~jh#t|o?r{(ZGPN~yLZ z>sZK(O!bd)JHMJSI}lR=Ibjq{c~bTIlkm@fzFreo}L_RM61f2Lkl> zxvO-41={2TbNC#uD9wa0?A~=bjFc(n-&Ls?X%O6UbRDk?1PTkqo?jg4%f5*7Y9X}2 zyH3o)(QLONvN-$7yA5@%kqZ2ENGetFACbJIudd>y4PH zh54Wa45}z4&2uZ&%<2vOfb$g4C5y)lbbEFnWf%&-I;|1|5n;) z8?lsPKF}d?V09b@Z;%tRN9Sie&2Z~-R@G8$$qxHTi58`O+|L)bYZchIgV}c`Nfw&# zG`~N(2Pa3X#a5x5Yp8GIdX&_sFC!)d zCa#%>XwG~>G269Ob&kATTtDxHkkz0uekCV&bW5#{`n(&o=>tX4kKb05?!wp!$U!&p z>P}Ev18!HQi%F*6ezIyH-lRy_iQd8IUP!^6m@vycVh;_>1R&f@;anK?vDmj+sKT>q zhf%H|4u+BT>M{*&$*P_7CC(K$GG1m99SFs}4*`W-NPo#vC?(Y;G|K04WtX53N*+A) zg!hO?5154>L?pha#X&|h4BrcgYs*(Wn~*cBd&SyF0i2y{FrQbz{_1ZjLpIV8wLZ@@ z#*a_UdhZ`KzdqVgKBzaEQvzVMV5>F9Eo7~u4Y5Pr#+%OfybLi{h3?GxmF?Q$EshKi zhz%DyYDHv!Q}&_^fA-w(^<=j>fzpaUx5$=IxZLa)d1WR8A4xv6c37eI5;}+ znIGLJ!u2P_CgEWiQb$&#hVb4x#=7nRsU)iAc1>;XA9zdb(s+nK>y5b~IaqN0d%n$< z7c*n4dldh~Ty2x8{#R{5KG}`_*=(sp-Vc_#eP7Tj`JxTd&LOnEojO)TWs1S=;aK6X1;qm{R0|D6;q`~ z6Nd6A|5npwC`x0Rjku=@w7o5>q{@&aMlRp?qk1>;@kOJzG0i#4AOIYdu{ASvTx&X3 z*|FD;UDmqjc2oe@B4gGP)Y*<#cyT~yj~{T@6In}6kJw>%D|zvajOScd)C!2m*`hI! z3C&dVJwoLp5)(3-z{zcYzWNgZBWcy!%#L$6sas;yvhLroo(|yRm)IYH-gcq2cBs-S z%L1?iUryxe_aKDy8j!u+K$7u{F?A5&EGAoEs4QMA*aHh)Qs@|-n0#gk(k}M> znsOeNk*E<_EEzpOhHoV%QT4iNTrKMy@3e^+mr)vK60qjI^l+~c+PuI<%x8P|6#&S*&ILODaL;elnUIRROMi4fpK(lA@v$~Ve*Bxa0o4O|yE3(d zoBeIo!OP*=wIRSR$Q(V75WqvhEVhIX8G)hpImay9L4{1;^%UEE7K2h`^&AQk7}Hl) zKijn}=^cSqg@w{uU?LaK^;LcrrsnkIUPbylLl5V7VmB;h$pKze^|&N{^vP@%=ZTK*aS??@C(iR#fjD49~74-d=R5OT8JfMraT=M zFaTrS*OQL?H3vJOA^;2_3%W8l2dpnvVpf4i^{O(73BwPL*0dHF6RJE$t{BZ+s0WT1 z%p)$u?}2_w9k~J$F~;qaj^O(6t=(*sqJO{$@F$GKY&LZp${P1UOghDT=j2aU&+H^_MI^$mKZL;8o+ID?j?2-ueYskfr*UMEvG{HxK zm_5#h1;fo;Za)q6y8#aQ^c<8GCHQMD%JshzI%Wc*_5`i4Ri^`X;fn&Zs-x7x?%W_Y z^!8jA@^d8D);{H)tzkPh_bHnOCd2i?k}%`Y9p)*WrGBQG4N8?BA3C-|4HH4P(UCYs zPAJ}_a{RvLX7N3cYZ3UelXsKfdjXA^g$0&#s%Zt*ta3;yy`ny4BUq$aA!9APaZY;@ z44-|(@32082%+NhfgaWjg>UJT${LfjJ_lqTdkv)-Ya|{`4$I~h79i*u1g-MjFLt+) zh`PI8-8MPwRgk@wWAZaJY&FCh-{LuXuPjqbsfK_4!-=PPQD#tvraZz`ne^^NsFr)B zzzky*eC^9|360)av$b(7REP7c|HlsZC!lCrX<_J)YneT_WiTeY+=ys28XeU?JP6TO~Sv*t(nUygRk2S zQnItMZ6r5QdD%{(ok^cmojDAzg1OWamt0stWr!ZgSct7z6OVed>`b8ONqg=7CItA57J7XsL4lsYR z%2mxIoH-G`dZXqW#nYe@jrZ_fExL*ANTmwhQ!0`i6!a5-zhMHu=A3#=C7Mz*t(=G+@L zS<*PLv;@Td0P_!u13gYw*PeR5tjec^weIgys#&@78oQg7#7ReHD$V-(}tG<`^ z&2IK$y=m?3x2w=zQ5$cd#yljrFY5Svbfm$5N@HS=24ej&ClZCuiVBQ$T=yD^aj8|I zPk0ro{OwhK2=S1hc9YSdPzj9AAKjAd$Ga~O?YqulA54-qi#yiXe!h_a`ZsyHb=Ix^ zZtI&sckjlEs^E%|W*2A-@%Eq$-$8AC2g<&|%^sy;Sv^Eko#`${yQVV!aQI`~8N`zh z(eSxM(ZPd`0oNT45cKv$a9yvWDm!aGG`KNY5=mw66WKtjcFJ&YXkMsfEW&sHXwO<7 zGtbaDrn<>`nV}%&9ubH4VAx*hkumoB!pi-{&bk5vTuy#4p)OX{V^dT z@*~a%!{dzIel44q0CO3?&%th9$~iE-PIG=@HP7!3r%u|KuulPCl9-?-D1&XRc3a+s zlZf-`dbCf9c`#|(WX&vt0-U4~IGF7^DWx@h-G6}2h8JZDQ+)KiB1yXN{tIr*YKMUG zc(YNj!K@3z;oytAR0rsMnfGwo8$Y1%HQweSb3H8S^uVy(HrL&=LnGVom19$Q{GR%MhGBM9{E2cS+D-@sd@j!jSedTgt%`;6#lt< zap3<4o*c6varF1WzaJc+c#Hl2#Wy^emzQUPJX6(jlI8y450LjAr?!aZfzYVLS=bhzvfnRAPAzjhtKLQeo#t|PC{;+ ztuMZt5_b^37lDP}FYh)rJpxi6TPwO2pXfg;M*8XGyC=rcyX#p0XNiBlz5{xEY*2{( zA$mT_(I=PiZ<^?F0`Pbo`yk%?Bmv zTc0gchNk!PGoF`>gXUl%Zz+8G@U?h)@l)_S`^lRUgkFgX9wNIq5h@#agM8j4;0zp> zOc@s&_|`dQ2GeIgKLxajC--}J?n+?1S!-kJg;Z0fY9pv(n)z(*+TM;k){w5B#TB)i zt9en*w3ATvkgb`uB6T_~rPe4TwxnGq)Ge0tPouOJ8+6v9gDCG4axnknl*T5sXi715 z5M3Yrl{ZRwNP8XkIP=~$vxtdv1)3jP7+m1!A32nzYD?>ViGmztem3r5rt3I791>B@ z|G1=LkmLW=WZox4$arXc8oD>e*)tG2R@-cM21K=+G#QETmQZqWb`ObYBhHuUerhst z^h}_uTgcR4zM{chBfOw*xa$=(R8GLcvadr1RAS8~u=>%bpXUhZwGwshTJG0<7|77v z7E6P+^o@h^(fdVJ1Qv2F+|mr@kaS9U%O%e)ThKY5=^GKD`|1B7?#tt$?%RKrkct)| zWNATnlFBlcETyO<6+_v}Zj8a$_b7@iCE2%R8_N)8Vwg!POBf6WgR$?7-7uE(?S7t& zp67R-*ZG}uUgz}B{km(upXK^opKEX2XgtFU5qH6Y!mHu!JE)FO6%$J7Ikf6jD zriEahFEM_zZ2Q_eo3<~yjK1pT!7wRnarI1ojL|{Xys;&MIFFER5_Gs6mQlz;MgNkX5yc?zG0$o5T1GD7}QHY~&rA7=&>_*~Tv!Vs9}3 zREDA%_jI=~9-MaZQ|Pr#%awc%abUzt2V%gkJ)N@x*6k_8iNEh1Ek*tD7xm*^qR2JE zPrI*NRrp<}7WE739Q8C4`CX$@srYh>H0u0M-bBtNMVSZIki<2Kmj%U#FU)G%B#Lqf zqwuRH9;$0vU1)oum2dW8$cJThx}BdD>Ki_>i)1|zqNYTn^fFa0(-}4Knom3NQh~~J zb0n$pseSY6dw0inS)BHAlh_5Du^S!7mY^}Zq~|PPapw%Ea^Z6s&mE!dZ~2~pNDk}^ z`35DKx5*TByC{o|({jhV+@}17vjZFJ0R1=W3%dWT0{H)9H~qQ2|D*bX0{+r@ z4YA+2tY6g7`cKp-=wierMOm_l9L!6&S#kNV%ETvO5_7vu8ip{!^fU5olYwFExliJR zy*S3G%WmG6H5chDqY@=0H^&DrKUEhylX7AIOpqMG99`nUETRpoL}mn)hPNe#scz79 z>6i8MKp|cC$JhyrI(8K7!(XRJwi4ad3T`Ec&Z0toOTUB5ZY%4y z>+V|^W0N~kdvPzgins@bSJ1a!D4xil`wM7u0b@UZI2chgmMGnjio2P98 z!2IYY&luUC7HIPWyK64j5IN7tBH-noQ*q9@R$C&+1Qf#M(-mGg3->Jv<*QD4o-=+L z@gp=pT~d&~o>X6;K{%IeQuhd$Rxz=1=g0K=4Hoov=8Yo7m~;8fQm_(b(3xiGE z&S2-Hguf~>S3b%g6{TyFLaeP$KU&tt)$v1Z6TCb%xoHx3rMNKSG%E&pIh4pG&*Utz zSgtHz4RrLSLAw{OR1exOH#@@UL}a*+23j}k-E3G1&o2UmXy<)dWvj;`mo zGAfUZ8;5KiQ1BJQewVnbg~LmMJnphh*9KXSr&tTK~CeArc$6M2O`NvaYs zi2#QIB)F!2x@WvwAFM=6ey!8Z$A!jx;QUou7Zq~LJ-1>^IAr>1mKbXa-PUEeMHv4A z)5;>r@)SL?Z62wy)u?p!vbuR}K8-^Lc(#ipA7Cd&NS}LLckby1HB$VD^E8 z{{~J0J1}nrYW{3mN?mU|Cqa{5cOQ<*sUYLUZ6eggW$amsaRY${7|9> z>f=FMowoD~*Lmcj|1w5qr=|s{jC=x64qVy@yE$m@r!Ilfn|=9?!~+ZrE$JzM%dfe8 zY@JyRu2HD2`QFjJXzYc%w!46nf$bL=jJCLMcYXsnv7gD6>=x8cIgEz~aT_4?$DRM> z$HQM>9%pR~6mlox(xNVM)yYn~`6N2l3vP8-?^X)Dzxo4re>^c2S9e-L{!Idx2bgIo zr4rz!$*mhj{Og;YAMT^-y=z@--L%G{|aYF=xt+uep9rL3?p565FkB zZ#%u9AI5M5P;SNO#xuay-uB@c8Kv@!oL-Mz{!=cIp6CJQh8-hL(|!n@FNCM-urKQf zz?Y^EXXtli?A0x52>hFZE~tQeOA(Ro4Ie)r0?+ zv^)1-;^LYB-fQ8P?+f`1*fbT`AAB+AP#pi0vw*J8PA|7F&2P9>V&5e)`5N&3tGqWs zc+w^DpAD@U7Jd;B6}pa~A6)9u|3(C4_lXPP|Bp2JpB=)>Tsf$ko=Ez^7Gh8Bz8wGA zVru!*uKCYF8T5anbd2Gp^&M z_6*c8(&0k;*%OcL@Jal6?CVIGnuOE7;1;y_?B{1P!h^8%!O{GSi1l{=NnW=G|?O-FeQ&+at4+a zl>67XSEdmV1!!Kb*t{xE6^rOw(ewH_Luy)oebTljd)0)181wRqS40p~PFk6H+ES4+ z8(+tyGw)bS6Sg;VjmGrUD`&Qg-9#Pkf!(%iaB*z0Md!GJ5$Eh*9{BJ@`^~3EFSs5Y zg@|>B=zkl0Xlo>p!IdFyE8ef0adG43(u2I~;3G^nEcyOS-7F8jS*Tn)UUKN%Pr}hy z;WaXxQYRl5ceYqK4v#^S5;4Q0qdjM5LMaCx73&}|~T7JvDo;)X6X@35hYV|dVwy2^#(D7J|a}zosZQ=T6Z%`d1#`DR{ zO-3!}Ew5bTWE*0Z=a|t-H>Ic0eJxO;eZPZhjiFUCB#EX#tLR^lTrR}W*`egZC>5%k z|}nzDnd-5&7u#gWmrS4=BrFVe)n;vLha zdUAff2-;_vY_hX>AtNc9Ig*-^;w&uJDk;Oq^4+iuzocG4&U=3JeUmQDbzLi$BF&*M z)e#H4M^zPr-`75g8Jhe^IkXb=0$ZOHg--Bwc`zsUUH&WkWqyH4xzDj_A1ZxZ4l;j{ z7(eRvXyRdI(N#;T&CYxb;va4Yk_FcnopprN$xiPtKii8bjXuC0ck=RUxb^1|4(163 z5$_pz0f@z+?Q-9h#-?6_7)Bb~fy1ZxuV&>&HSs7mKwkuVqBP8p@Ym=`^d0l5C^j5n zKhvw3wH%rwzl%br<1bKW&ZS%gCmTgIvAUmfn6fx;DYz2Qdn>ctt^1OK2{MlH^XTQw zJ8p)<6`0bsj!Q>( zO$F45&D&!=9PbRyEJ=GZJGC{T=rVyJEd6!>*<^hYD%Q=1wVf$~(g~tB)jeoN2K_L0`*xlld z8E1dnAU>^89otM~Yk@S@ncY{jpU-f^*Dsq*h!$5!ydWnhmnO64((lh-M(b8lq@V2# zTN>*sE%c*plwYt)S;+yOA5>l^O@>Gv@(p|fb8#u%(p_*9H`MvCJf*B_VG*skS4HM0 z9uL%Rs6#rNPp$VwQqF@wpyNBeR~Yt5OHrXEa=w^--s?{in~AZrxpuA1#3*0RlB#C( zr%w+LD_&7u?O7GA-1hw|O`n{<%ms27l zK9dT{JYO@XDBYUrE_EU9F-I$Ut=P^_X)HBYOZF^J`FTVK`T7+uEG+cY(=X5&@$WP;G}gN8wcFA{q=Z5KDg158DaPtC(3k%s~Q3DJ%ynqEATB5G7S(L|3LB*Sumz zkN9Dj8If0ne<;fIJ4Ia(=1kPgknr#Li@FKIv5dM^Z7BVw41?5rW)|F;&9%vsbHL$k z!(|%hz@5@aDC+zAJs~~reV>YFi8_mM{xuhvqp>PeoEuv#ejM2=I|?l<=UNqI&%(r8 zeP)Pnk6v2u(Q8PX1n9h>K&=}-8hWChQ|0Q0%gSH2A<}V$?iP1z6*R!zvx&Kfl`(i)E@!KAV2bYrxu!8U@`YV(F_;z&!ot3gs9A$>mFX!AKdTyzO*1ieey zt}`UVN*r=~`(O5qmL`n^;U>i}xQuU@_gpyaSxTdx#O4o7U-Plv)oVpHn(jFbv#*AI zj88}KEo7}uV{aAJv^!N+;UPWnowcRrNXb&AjTeCjM-vs}hcqgj+%l05s}sjAp}z)WA%RsrBRG z!>0DR1)k}XkqR(Pot5 zYo+NJipz&Fr4lz%LAH))RQRR^SF4WpQ*J{~-$|{Yw^Cxut3tT;D z@1T~l8=uTamy<*jAE?F3GoK_B>3{$?djidO)trAERX!D9s$yqC(9YBpOsH8xF8KnF zTa?%kL@-<_U9j*S3fJz_*|0pqF>1`0M|F-n<;$l8qa?BtCz21(g#3ISIX@N_w!Ed> zaOrysXYxF%eYlZ_Z`1drpiysRV z)Wc^af_VhwPG170!5UA+4IM%!zP=Yc=|DJUuxf^QM${D|X7ni=2K2^@BL`D(2>YH-Dj~#_6mgH-<8J@7S`4{imq4>t zlI)X?Qx=*-ga$rYW^&t-s+x06mtmsGyt+eqFJ;{iST`)P)@25V8k0FG@#KmmH!Y#Z(Ho-k%+@s*P?Y_VwoCf|H|Ha4qtmDWz2HF zIWk_>_&c;0iwspA$njx2^QfKI8y22zDrKMY_$X&}8l;41m}RV7TBDRMHsjD(@Df2j zr!J_kZfc0R-wu0MAir^hboctx=)Q>o;Ej;51AdydkXUt&bzaNur3pgsj#yVIHwz~p zIwsd)$vNSgT<%(w=$ex9LLTS7`e+%IxK(EduDgupM!5w z;R1Ygl`Z6uUt?qw&^I%fZ!e$7oHT96I=aHdiM!RMmjZPbJX1|_C&e4barGTJy3#!m zU0r<+&0tW(=fh?>JDg&D>jRvX z_b%e~!j` zf;U9A4<&m#NUY%UU6*`t>1EC@xhc(&#R1?P8E5Cua6U}6BIubs;tga<5`Cphmk=~+ zu{Foq_;^M-;kq?-wEswZfrFqhXFbsgd7T0}vDAIPoZ_Z+&!%?b{qaM7Y}a>;jL4k* zzG=}B8-HERqjcaVllyxRD0JUlO*!aFH8_NQUY7(?Ln$ zCw=9PpA@|$QOsxOHRdjL;+XnA{OX2q6Rl*^*VH77(!=K0{*cy#G>+#-aINfJe(ECE z-78diMWHQtU?^aZZ8(!IfbiZ0erS#g!xaf6GG-xY3yuQnwGx@fTPx2gG0R$a}1donxVg>d$l1WB- zYC84dB~Qjnk?sl3E4SFDj_$J=x$jj>PY|c zjgw;)xKRA^-qv-B=JR_^i<9mt+=fqS7Y1c1@Hq~J7-SqDb?lyBnP$>ldcPMdIk4Yx zw9?Qt7o}SBVqJMqsf+@ux&!;o3=C3nd91#SD@87$`%fCV-WoKvnou*ynGE6G+sP-e z_RKVOd>t$BXby8<<%Cwn0sJsR2{TpCRD_(mG%yj65;U6V61V1L#jILih}G*A+wSMNh$xJT$41>-EX-k;gRUZ)xMtZzjUdU zv&D^ZUWzQi#I5^F*9bPoRPg3Y4~h8*$&@$!wAzL>p!Lr`|9pCdEG)bvc7=f1ggP%L z>qCSSjD(Kdzj^b8>r8h>=*6u#476%vtf!`=a2XkIDt2FUj*o|TuQjg~8?M>M+qGkx zutlRFf#=57yp`N`6ts13xZ>7vQi!WFG0IM?yJm`9Bz{;`aYwT;s05wa9S1*Da}xJ^ zNkGze0PtY*<$X-tF1o7;H+|i}?);mI<)7cF@9reY6W))01*`*jX{T%ku+YmR81z&6 zSINKZ=N&Hd|M5<`3id@QlY?V6cBJ+UyBm=khyCWWuX%kRZhLeUc$;)*w&q8`LavK+ zUT*gxE9T=cTY$O0v=D%MxOTAQ^eD|9yE;mP#gZ8jJ5fv(vqerWu1vEcyVgu9X?*OL zGa)WF??L zh|T|-G93`neC2i2x}pn?Ok@ z7gdu*>y8|{q5p&=Ygbq6_`0|}h6@{F85Gv+DZrtof zJ&b9pf*pAx(OiC%`a5>x-+g}`VsU-As^haZxmS{n zLH!q=`;&JrLITMCK07`ZgMUX*$c~t0V5oK2J#gf}{+%NST!iY&HM^23=CbGi_{aZ8 zYxr}TpYi=5Q^6e~Go+TL4es)ouAHp;W5oe~Y_(xm2AzQ?{6Enl{wh`RmJT{DZ0CiE@2c57R%3ELUUo)f|}>L>w$>(97q8uS^tsPQn^}|NbHJve@tL z5x^&@r8e)rEpz!jGiXte&iZP9`!z5Y{_3u!N5%urGnsuDVI`!#TJs#sm^1@gJLp`# z_=tP)>Y_J1Imk487g6)00YO`MEp7s!2$a~uI|CLYtNW{ z-9Gp7&Wsm`cIlQx5OHP($-n{+ZoG(}BxMnO25zm!s)P$HqT2!Lmg2da&-r14m=|<1 z{VhjyY}4R&H*bU$ceV^LDIOjfnIL8P z;_bsaE>uyjE!Y4j4C#_(=*t=BO-vT+-p;+*Fy?n`n@&q_FVj>ReZZNBgwrA7TL9$rNS4Tt*<@P+*HM| zR#WD+{Nh7|);m^TWbZNzLyze(#HH8VX0#L2&&{Q7=HtQ&NR{mcyC^j}-dBu+-qiS8 zX#92g)C^H+;*#7p_+T;R*D3RC%%~IyEPy9P%UZ4#$^A$aZQl(w(Jy9Z!u_xX+e9u* z$B&U+KaU#hW%5LnCwa1&U605(z4W~soaie{lx*!*B(rG9_z!_r>CI)JsviFDKwLu3VTcH0YJNEjYDwZY^XYL!#$ zV|(v~F;cWy8ZU_ljnTKpa28org>=-r_adBicsw(94y`om4zS=x&{J1a`bzS_fVXZ^ zi!>S0wN??*Tcwh2u+dIN0RESe;{-yQCYP(xBUpIPm9l_^w zk4y$M;(D*a%r0z=dHAd%jig(Wj!8B*Xi+lW4u^WgpQVPGBYYMUGw$qxLcYeii>{N# znRiPlp6s+LSUTIXAs@#|yqtH!6}k}#$nCtkz+D$lg;4*YKPKcUeWCdroH+XbMGgR= zgp5AAY*c~V{Qe(gT%DWCr|V`Ba`Nq%cPpdT_s^?!X0e@TZg4s1HD=Cw|g`l>Qv4b@v|4&j*;~N;Bb18Zny6-quM* z2Pe}EQYtkA6*}83?+?j0m1!ckKLi`muSjHe5Hqe}KEV-XT^G>VOnj94R#@jMo#XQ# z0A@q}57F(m04+O(A0bTJZQLk&h(2{02v=O1;%+2*k_rZ*Zt6eQIM;KW{iGuRvRN{8 ze-dl;o811oX22U4<(n&{UiFfz0pz<6EANSM$B;N{wp67@X+R5!bA;))?$s*vxdA_@ zQqR!w1>Xic&z0wMAhshLmXRTxp-XKSF@v)1a|~hfn};|%U4}w&1#RoL7&?Mdf#MQ+)1oNK_iC&R_?)dkccc^4s-F_tgQ^6(79Xw9v1Qp$n$2+UFP} zjH`<(8F&a!Q&?EI9C(vUE zZ5Tf30;Krbvwoc{^p*Vn+ILuau5nhhU)V|1TIcwa$pe-29&-U zTV+zXYj*hxN^`0bUvEbjDP8BUEJ;5@vN}awqmnlE`x1H;ege!(a?K~SX-Kq9sG7y_ zE!ETxr1Ddu^E$XuM%-@hWBMn(sYR%f$J?A{bg$4HQ`<~DG@lsKImfLD98Esh)};=D zD1_Xm4Ks;veW9np{P)GCu9Oh&LGF+90RfQ+*}?q?--HwJjm%=j+){H#)zLO_Vu0|J z9mX{QHB*uwkEKejuT>rvN9`oO7|hcz8kLX3{AdP&s$?OKjrhg5#Satr=M#Qx6+6Ef z?RG_AA5}b@%AL6*j-?XI^@E;YBxFWF3Gx+YEF}6ZjJybJSvT(eg+~xlaurCqfXJ<= zx4JNXb3x4z?JC|Hz`3l$=C=?qx|Q2gaD!_4#!{V)vsa^1s|md;bvF^v4>Iyu(Gq`o zz=&nsi~QH88TpfrAx-jMQAW}FbEA`rajbg^y1Dy;P|(o0wDG+{7YRr-nZVa`tQ4hJ$!ocY^DYB<#Tu*@8uK2L?kO%=T1GDkk_t|t?^hOh-1oyy9ZPbX-m|dK>&@Sp6Rc(o zPe|TQ;gg;_;&x_dM1QGa;2HFWkf&XIn@r_UH|OXJgI<)XgVM7WfB;>NXK^9Ee7eh0 zOf7SvbdgaX_{gqklq>tty51XP(R}4RA(+(@HxJ5YffS zHJyYd6CXw6*zO_e(+jCepK}3h`mK7Ce%0T`qcR=^Z(0eu*@SM!e#OoG-#7 zfz+N$nzD(q<9qi2JTldC_b%T$&0&o8_{>C=w`u3lVv!FCNfvfOzEsHH^V4-D!!6@_ zz>Ef7S^1)pY?Rw8DK{{;>K~ih37Gm>X)nX*bS}{a(wAd2gp^QZZuPO)6ykH-*w}1K z)616~|K=FP2Z1-%5v3htM3=3A=l7PtH^w31pnr7IpPcsD7r=_F^aliC!fi~mcP;BQ8J7eES(PB&RQ*mfo|-2!VX zz6`dB+S@&H(0bcn%V?MYY*Zl&$K!-Q1! z?^ItiNQtK4@9HP?wR&ccjV>MZduFdS)KA=pwVbDIrn%6mrzv`ZIyyZ3dB&ODpVc?t znawxw*)OaEMhEbj2Vf2gJ3saR!F|Y6b37p?Cab5%(Cs#nA-11*huBYiULi7_pPk)o zV6a#^NS-ONaSKOOeBHH1&9f5fldXM7ZCt5(r2-g{n)-$9ndXT^`~AR#hkP|}B3XS_ zXGmFVdP zZ^{4;aXj@hKVho>2p$&A`8kc!zCA)@WjVS|*Kv(i!%iY8l5$CPQ+MsH7BF^+Z=?5r zdKG(E!y$Hz)1<^j%!k!`hoAjNt(<^Dthk=0VKzC+V_nS58jOza%8IlsLFDUj4go3dDn-h%6WO&zy;t+ZB2TQ9>sEg|D?yV;6f~b z0yJdWy9WsRI$B7`TDHgr{Iw_OX^cRZsn=UFElGmUV zftvBTi|W?1V#4xy8r&FB57#_wE1HS2R0pe+V!v!7P#}cm*jm&xf3}B#5z7l!_`+TaF4JQ);?V(S z>rQ{mLl1uH<_XQ|4tL!#=q+aM!*FC8F z+GEX>OZQeUUMMEDJ|>t@!ed}Avk7Hx10yRj+CKTE@g9WJGlh^+$!pkEeMvGZ;e+hh ztDe=BLt~xtN(L68&R*Y^)i37YxO0{U48X0Y1*2}zj{fsfw+6CW33{6cDfKSBYEtle z$=8>8`pQxgCiTf4C)6403&>LcK7?D+W;IKv%;bX{=}_Z#-K=(-&bZ004pR4p5HFis z+fO-VL3v}}8C^d18lr!c^(|=r?D^u>7VT!!K^s97k~jzteNc~Kcm1v%>=W1aFyrzD z#bs6)OBnKR{!nT3wn2?D$JG3|MW~smI37^b8Z2s)3?=5+mA;Q*Z-4ouwc>FYw?laB z@p+{lix2V%s|$1bUN?^QC8y0Fgks`^dwz!~BGoRIQ(Ny-y=L0=&hl^l2*Pf%B#)ww zngDm>v9@scF;AM*93M&?*HO^(AynY71d{RzbMggE?879n8!X`B-L`Ni+O0vIwp3g@ zGc~iqi_|NqnMr<)GRxt@8c#@tw=-2oETg0oo-Xq#YZjZtXWV|pzSwh)h`9;t+4Se8 zavjeddvMd$D?q;l-w*D&*IMy}L)vZfzDuEj(RWoBl9^dsmUGbPkNh9d&#hxt)?jp# zJThhRpmw=VZhRgB6|9!9`pMy;c=Y#w9*+Ny<9u663R8XnOCMbqk${X+E6+zFl`qx6 z?%XX!a&N>RaShJ2m%Cqf)bCh7d9m!G!qokwKKqp9WTX7=w9+W8J)5hK<>aeAhG24C z)*!dH*sALGDEdD4xTiuvzM1XohuYhON!L(D#|ns_9~EGSa7L%Bt7C;>dDbk7N6?vtf^n5bc25j{OIrTLzRcP%7ia@|EBC;GzK?3ucr%>I0N!w#<{Ue>F)85s{Rz?{+9+%_>7}9{)wrWCqA2B6Hs!Zu z`pCmU-5Nw(o=wDYZw(*o-I#jis->yPvwo#U;*)-j45}#iliE0BxJ2QG*2T^bq1V%3 zuUE=EH?ErWjAW+IT+XlSi`Ktn6-qeQ%A`89FP5T|>*$6{6|S0V?!;(Aw$=hf`mU;G zc+H^p=L&o_9?Fz}t6od@uF-E??`@1F;&VFL9F*a)z80V4aH@my_QJKba*f(aGt;5s!9&yU47*KXuPhvLyl6Dp#Hg9&P|qrf9+-(KAhYWzxDyXK|otSH!v#KhL2ugdl6}W$pSwXbb}SK=&2>EdWKyl%qjXpM4m`NTd!iXI5p>IQ6*W^7?8af>d`G2e4z z4=L4Lco6;Jb`QD{iC-e0rr*Z?d*1d~$ zCm!*;zC_!8UcI7YQ=tpbLc(W9N(YD+1rUyA5$%YH#op$!%qu>YYPV%4n;l9&@q}ZZ zrTo50*0#$paL=)9QPNcs@C}&&6n1>gYjfVS)Fr6w73l+LG~dNwQ|-_a!on=c9c%yD z-Cv$NnDNU8?R7*16xMrG^oqjT`Ci`{2IO0mk3^CiHi>a{#%2BUHO{nUBTCw&l zXy76rE~5PhN$G<$`>6N4#?Ortte8tX`!ekT#88$^$Zp=IcnZkH1 z-ACTYOE?upBkW%kE{4u0#iq6#gq}HXGsSTzQX>3>)7tO=FHtid-9s~!VgbD_t(Hu% z)nBbt12Qwge5md_mfBrYD-Rk9@uI8k`^S_L?u_5(boiKUJ66b^b;w!Cp!7x4_epsC zB444y+eJ^~o4U*zhXOnG%oU!secgLemss3QbP)rf`63_nEp4?8hhw#hTefkephEE`pa^UF9WJydsLV@9}Wl>2eK z8~0FPEBmHvp@&!+VUe2s^oCb%(z90q5+_4(Jv{#o+7|5UQ#BkqBUdRbzGYQ4N4zvZDb+I>XxfGxSS_Gk_(>pqM{cjBOT zG3Us@xk8~4rF+w!?N3sJlI#(NKXpERZK&oG7%d~MS)J>%{`pE{j`wZziA_GOhhyTC zX)W8Zc##PHf@?-0Jt5;Ey#^)2WdI37yh^UJ5#&}QSntHxg1=^zt9{$RKG66!hj%$o zK!7@K+ne&j*@1!$t_eX+sh(nmlI23|ihL4&1)vptPJS{rLbjE(DBTED1|%jBbq^7T z8wpcMq=V1KG%LWuY1nXC^|pt2m&B_g-g&IgG_0(bsvGr$f2T#*j`D16txbsbs$VAu zoua;QQp)MTxpr~ZR0Vr2t~Z@r(^T|YOY3Wu#?LN84D2{zw4P?eFZ1tPRtodbzic!6 zAVAoj3Hp(n?5u{_RTe|TNZ)T3(da40>)lHz7DTq7Ivu2 zaR}Bk&a%Oaa-H-9k4Xog?weo8f2EgP4j-1MRGK7yX={p3nD(w>Wo4J(_w2pm!!;(~ zX(X<#@S{HFjv{_4a?J z8U0@am>A7Yjd2nHGI3C1npyf5V5ARum|w0lO&~=0<;UIjvE9hG+#1P8;)zaUMXC71 zF8Y@mL&1+valm<5PI_m9yx}+FI_~=2se0ox)D1}i8|CC{2sBqNR)mn7RM#^N9TS?D z^_j8~a}M6^q<(*xABTQ;u+hq*`F;{_(k&73G{|_jYTwH(3;jaV()z~49}2pV4hc#} zMeUQQuy^aL3@);rkbF2ep4v|t>pn03@Pu#14`ivr=aa9hMFq#53ON%lZt&5DK)i`38U(kF zH9Gu|9%EhU^stL6xLy#kXgpomkgkd}$g6&;I*PXH96${{|MXr@SWy+O3a+y_A7>kE z&CXnC@6Y$R7xH!9N?L-74Gp&K=`=Gt@1F!o{Cvyj2RkyusT-(00{3Ec;YnBuTp#&- zUEsF|^@7!p)rT+mZ}^*2SJ3EG`aAqS3MY;I_&rPmU`E~8x6tmSZ)~s$=6VabKTF8AiJr9#Ho5w zRCcP62`6XkWAxRuqRootE7^UJaTztqK+e3|hSfo$KPH2?pQ^Snw#{VUiMBr%Foye%|g^$!3OdRo61H zBIecNwVrpb>JRbOb4|D^m_V15I7GBsEA*SDKH;NDXp7nT1Ig9<5F8nGrEFsS^W{Z@ zKFrsNX2hN+d4f}UU1`LKwR_!D;WJ|J**7U+@bzzp0-?yp%8uH}Cz2)brAtloO&l&^ z((9L-D5^$2tp7YMhd4WXr|p^Z=g&VhHcs|dl32UL^6#1ABLFzA;h?Yhw!jRjOtnRi zqzh$#nS>-Ve_z(+L+OziS92fh8!rp`RFd97eki#8ye&=5cVFBS7GH6f)97ML`eAlG zQH)~2f{VTbxjKFsFMeJREAKp!ws?^z{R|mv%wbaSdcXJSfTRF#P8}dIc+#XtGq6d) zWQ=WU0GzB}w-0yQ2-ZBh#_QLpZR}!28z^6`({R>lr~$?GgK{9*7xgAW50B4x<$}wJ zOOH*AHhx}~pRdL^XXH4&K2&#Xmb`yuqj(hA9?w7E06L$2ceEmtmzrT!I@jK=57wP! zKWfxAaBG=IN@vW-At*eAAK|g8Chjr$SEG?Jf(?^iJ@Wa9{b_n1AX_0Slp$(ttyuiNt-+c z%f*4Y%OfoLYw!Guh$JM|1nl9J5n|li;QYDo?$izx+Fyz|Zj;CAzC8}h^~xpLW=W)) zj7`G@8_T=;boMytzSawCaQ-Unxs=frPm6)H6PnNo9jybNlKJ?5o-+eOt6_RZ;hSfa z7_7hA*mTQTvQqvM81oBp0-I#m)!acpfjJ9V%7jfwbUj;qkKxeS^hc_hO&x~XJS6Ky z+D_F~sMP`L zhLnp`K_}~EsH%e9cbM(#WcX|% z1hVfpARB(k|30DKe0U;YcWkiT8u*<#gPpA}WdZFd$m%_$fHhM|*IJo+$+-8BbkE-Z zDk!-I05G)gV6Yh{6%BfIxkqQ)b-xQ1l-0^Difw&;9$t3Z3aPY^p)|e7`OLew5|Us9 z@pz`90t5ngM^ov^4Hb>gWoPwv#o08{>l^+(T*_NHh|c&3$+wjEd9-uH{v8($7BN5? zoA73>IaU}yF;d?a8u!})0GjYb{t7d5H_UxvtAcU-1mJBkE57;LZ+Df}rDp8Jj{m}m z;rI>9qG;qCg`SuxrP<|-DbvQB%YMS9N>Y|~bJ~ada^Hq2(IL7F{#>Si#HSJDcY)+9 zOiP~kN@tPwxv!qdOdh*cVAcQ}mLI}?DA@|mXf>f()7k0$$O#T_$9%s2D~cYx4N|AT z&M?p+Xz_t{BX^bPvF|R~w&H(+{_5&mto@$dJ2X5_k!$yS$k}b4>lT_Athe!^{E{0I zRj;9-+3yv1V9Cg@pl^9iS~BZ8jO4@S=pkgXI@@hYYz-z;^Z=+WApe#+I=u6#ZVJ%u zr1bNyrpwd_Gquk*j9Itl&#pmW9y6-LkQ&yi$~Sik)O zI%gC}_Fu#{J~T3#xd@moPaOWpU05MJ&tzFiM`NpO$-b8D-6c7xw_jb1zSXq z>6xoCH~abC6##5`XswfnxrtRHlKD5OrIZmg$> z9PkcoRiv_=o})*_laM!@nywXi)Y@Ojzk&Ed+gplmS=YH zQ4~<1o4?flZ$WDYys)go%Yp;yUP8%~!}&WRo55PX>I+Czv<8|5XSh2D$$-r9 z9rDi2&F#%VAnMut0(ZjbzzxHiHbbtHD=MyzjEuVxN$ugr$)jwr`5iam4(+fsbGV41w{*hIo*y#wF5L}_f z5OKV>X#=$%C`>4yCRj-=K2PaZl&)O#OPPq4Ah*|;z@kj{eQ*3rU5VewJ+f(Q^p*Ss zUvO9c&WdW)(#d|;wFI^}ey68W@Uu1^|84>Se*V|H<6hfVp`}|>SFV$}OxJssD$7_# zjd#XkhMTdWSCBO%fIRG}YvF+Mho<2FBKmI=ZPoUr* z7wtbG3_t&kUizKJ0H)CA+YOeND#uVZ0+mQhIsclUQf3{VN;4u&>;F8sZ!ZFYc$Rps9+0J9cxT+qO>PyO(bvwIQOX#Fi&t0%2$0Su zdG>CWPk7NtGn&u@-5zQ1sst%#NUb-IRar@G%~h*cf70`eFr1B4Lj94j+#K8_x`g;E z{?djJW=9T|NO83J(x}Puc|Qj{2ijwLYjifv>aHaDjmp{6Oa$|6n#=CWtPT$-KlsmS zE3GK-23KtsOfKv2MN5A12ElBvThl$&&NovumNYPv@`K03$2mloq`O_+RyH3-2s|MM z_KdY1@(HWPu4y#Nq0mO~HaE>vuLNS$`V0^;|AV>r3}|Y5*M02`0TmIYh>D`(LR5MS zDpI5>Rl11M0z_${1ymFi1Vp5li1ZqeW(Wb1CejHIAS84Gp#%saB!qA$uI1A8U;FH{ z@4e^4`QisPnKN^aIp!Ge^ZcGyN;YD57O8c6+wqSs7HJJF`Yh#s7$I!1zU8DSKwPMeCM{B^6_aHW$u7F-r&QdY9BN7gY&+3a1d zZwo^$!Jwkq*NZ7`MCQ~qW>;YcEMSUq&&}JlOi|cDaJrd~2b^UAHZtRxZBJkLxvr29 z<7#Iubp;P?>wi%$T&1n@a2nUSO%^9Lv?HsDYoG=6Xq- zLgh7b$~2tf3F{_TG$Uc=gUw2sTf`C|e+9aeMDV}CaK8*`Ge5sIS-g9g7r{HJQ zcCai@>EitSMVAc0c~xp9F6DdU`=n2>kdsH}5K?loqdN+`-!qExV{do~`T$10UT1v$!X8a%%qrNi z(il{r@y={)c)~~GCNx&Dy~K@`oSF(&)_h*q*;qr+K>J3}e3Y0=ZiDs}L31V%f;t2@iE|_4#P@m7EkP@-i zsXc!!t3SNF6;uP=WN}umw=4B4E*)lMX4aaRVy}l==DTDWGv_7RhE;8L(s=<(R$eZL z;b?+diNDJ!|owQ-~z(i(3?B^mqTMP1H4CN6?oX9!|PC#EWz$2tQ#M9^~U zZdrG;+1lsyOU69g*cg-V>86$bvES!~=La&N#_d=L#LqOtcdmRN1iuO1SdQct!Ox$Y zpOgo6ir3J?QcSqC2z(#Ms!1pyI0lEW~N zfIj`b^@&`Sm#NeNVyFl4QBCg#!v8~9Ij6zh99J6ECcU#}|Lv(NVdnb4QN^PkXsf)H zFyhMW#jDnSNH?(nsT(yLl!VTWf+4i_r71#Io{LHTr&o*8_$v3=qch=)Z<~E4rUvV* zqz@&3jBT%$m1tcicUb0IsqKlKife%z5l3W`A2k{_$so8+_$72wZ57k+CLC6XNLhW} z`CcHsT}_@-FyLgRw6NC(wP_UV#fnb!DBSOj_x9lI9`S9Z%D0WTUgeVLXR^*c-jHku zuZv#e_l)pBP!CS%r2Nj59zr{6z!Dcc;C3ky5_-tH zB?K!`qEXOfLs0b%(B#x^+O9b_SL#?W&B6M@3ARg&#_M9c7EbaXlar4YGs}M|{C4h| z`A(EC?&HJ);+aylUVxvU&jo%4{B>aOz#Ojno~Ci{K{sj0a7MeGdCmzj*``gpPcp8{ z37Avrjo`nl}(*?G_%V&zMeRo;Z4ATm)Qn(>$}0_7NHitowM^@V_Q zNed+%WsBii)R=+c;)p`uZ>u;>C@I8?>-hQp8hqi>D)LzhN`(aLec$QU>S`i}s#71U zcJ_CUgrZ4li7DkoUx&(*)i&?j70<}^5!Qy%eEjn$L*ZGD&yxdI2ZApfkauLo4*Qzw zR!b9jow>Oehe5UJc+}qj$lQ$KYyoe5QI>9O&VytIIRcDgrMVP$8 zj}?3U5NE!Q-lJM=N;$Loy=5407roo=U?OQQc^E+;JETM7Lg&2X_YIwz754|+%)ehf zB(|-ZW@c?I+2NVF=>^ON1#9=0i#tg7Lk$!=p=##{mHD9B~br zm!`h%NRD!_IFh5 zVOZZ+jHDU%0rS-g!_mC6*=U>|(+9dDb0~bdd{- z33v5ohHssHLU`_3OAo_NXAq6-DI8fd=8z|d+R8bez%yU#BUWPMwE!W%56AH&d3aK5 zW7^l!w}BKf^i)wG87Ia+#%uWvc{>q&&`#j|qPw>>$t=KXd{4rHpxDs(%YxL@7O?HGpNT} zrt_xSX1MxU*Ewbt1ym(ACTTRQkE+SWA1+H0uR~WDhyfzrh(WUK7e1CuN^&00Y_pk5 zpIE@rq&jg02-rNB|EQ$j^7dp@e;-jKRJz9LIJ`zP)gqP(aD7_4dV6T{3ytnW9X;zl8J;jA~ zsH0Dt(OD=~)zZG(DfZ5{&mMMO_A|%&*00dCGx7;URNW0M* z)RJ%CDW~KO+;-NdNGmiIx<%kelen_ebw?QZ$7|uWIxPp?oUPIt&4&)JKW`}rod^AO ziNE=633at(F+^3P#lf4yJwT!lKJ{rzM@~08YllaOOz$KRW)_gLKsB5Os6qUntCJt5 zom)&o`dr5rE5Q9tI!%A^H4=o73fKX#mBWLQvF`Yg_K_T0`)!d=)jr^yRGqeP%Z zB(lh9YF@oHquBle#Pf_$@0W6|QYC5`1eizh_avhwlR%FL@(^(TCpwgrYXY zendus-(5i2SdFup|KX(&{VBy78r0W^yE%0(<$Gm@GjxNK;jCiX#|x!WZpn@$$oz3d*K^O7}{*T=K` zqa^zi0;Kq*rh7cy9FSbu8U-K6i{Zk&1*qdcU_U{<=FRno`d2!%#pL0=<>C8es-9TJIPLz*P4uwajOri*DK&dM+2{KW&p=|vWTbV5K7XeJ zFTtf;I+!DNoqP(g zLQj?@{QV^tu1d>GHRSsi_rErF7*FGod8M69bfZI{hvQx-^!t&@pu#5bD_no3v6V@h zDCAb~zA>+~s7Z*u{$)5(9MZ`jzut*S=l_HtE5#Bk1eV!($_uIu^F1ACCO zr*pe3kWG0NfOLpn8A&s({3#u}R;ikMys@mL>WGFP5K!ujvP~H*>A;TkU#CT1^l>e7 zhFIh)#gB%mH6X(0SL^PQ1oQ_?8E;RB_!jv~4DBkklwtM>g?@D#9(3bPl!mwo_JXqu zWfz1LCC>3b_aWYnJdr~0YXDXT{fp~vd2pUtG0Hqx?k3{ytODw_`KFX;^^;Qn>c8!CT#Q`^!_PhuARGi7x+tbw`)VguLkxKrt_s$*L>6A$o4X#1O^9Mm*mlvVH!!!oKjyO15Ez@MdRG%76cx3l&`O^X_I={FeodUdUT#g zQS9-1M?>dz-L^Y5?L--;&OauxCpn~34FZS1KZ+o|Lm6d%YI*6imMU)ORMBL}iabUT z*AK9yBflrpysyWOOOAcIE9Xkxwc+Xih&fVm%8KsNo8#t}Wg{`Yw@z{_f868xEn{IW zrmzS4Mxs?O0^!%5che~#bHSf+Q{aT#rKtV>QI$a?gdu~O=Ht4`8@+H9)~BX~WF1Lf z8--O48fdESiP}$t?DAzP)vP=t;16>^)4rAip2OT{#Oe>mRu*Z7W;LF9FGJf? zi7w=p0c}dQr56aM+&6KtL)JGMV@2^Z^yxQF6(JwO0;}VV_F+|}Z}>C;$2+Wiwq&f2 zyYWWd5$V{{gZ_6BJ-FKe4X^m zc^`irWKuYN+&svF!Y`6&K0h^Ukq0`+RgR!Z1KY~^08s&6q+?Ch{-$EXB7bZN8q zA2Nn^9N(U96Bj6y#xVW{BTltRdY!V+pOKe&o29=KS=kCl1n1)HQ)`l|CzA%XOz1gc zBfns=Hp-bxFQ2{X*|@35{0>y8#-ioAe#xqb#=R`2hLm#u&RS3x1XM{Y{j$p4t}D3f z&#LE>7UubDSOrhpSJZS_4qNdYKg3M{D1sd9Iry8pP{7O2ETqx#vOXQ{18GlW*Cp`A zImUj5yt&gO*e%%YPl(Jeh4WNOpu}2Aybr;kQEKqF?4EC`z_HoI)gTY?3sx{g($Q~S z7oVAP@1EHDHHzQ(JBEItAKN+~haF)yGW50=EEeMXmdDg*O$M~;=1@1WKuIxOULf# zae{qTw_=jaik&q4kAK6wvB1rnG8Wf2whH_I(w|QK7NMQ+?gvHW*XZAry(t~8_rH`m zl^1dKz)e6I7#pKP_XEfj|IjbO>%&rfF5%mZiFO90Xi!?l=);4yu+$wZG+V*_xH!1W^x_$b8~ea z@|4^Am$X>>rJ}NO&;q!@LyOX%{}x8JT_0!LgBD(CYiZGUaVbQlga6Vl!8a|rR*eh{ zrV9$_rb}ec!BTlOL(9=$+SF6wcd5Vp_FPqLedmiuhcAK3=A+HZv}K#^doTV#W6Z zL!C6z=JM=|z~7>4o=*K+fz;SFa0_@QWLha9VuO{@)w_O8Yu71%Lv->{;C{ z15a-23^)k-O9Ae@re$g8DjzlcNC?oZAF?#Q{9)K`7wq^84E!+p!vIlxPz-lSO{&<5 z+4=Wx+7>VJr@i8}@vqTTYV?DZ`=%AVcX_3!aDI!GQ&uqkC+3v^>R-Uj!q-Y2VmrK3 z@ULt~DYq?FIj2{IcF0u=C3F5f#M?HP%gwzLES%wA)0fu0_rm`kBG%c&W41Sk;~~W9 zsN@&bqO~i?8DBTf)?ZWawrhvCRLAIQb+CRNcu7@<~eT|$(=l4-FgpD?)} zdW`uXy8qBxG{XeEF5ImFJTKWNCqdUM&hJ$@hxOS0U5oyGVRW zw!}h7g`F3I2RT%#ER6P{hQncGnzHD^T zP7?N229LVJwWEEHIYbjCoTzM5U13n8?BO`LUQV4vx!3JPIMBm2Q0L4H94RQo41v$3 zcL!$gYsX$#pMhQ#&;CKcLEB~hxg?#bc7BU)OTOV>FZi08z19DN4IAa@b5` zIF%tW2{X$&*WnZ047*&VTwd?9T3@a%JP+1y<1#87-nUU3;X!P>*h>6ilZ{lb`gI(Bp(cA0UT0s?b|_E z)yD9CMPJU{LTD)A^ZItNMbQgJ9cdwRKSaf{9Rou(`>QH+=8rIh?_Kl@ zPS7|*D{x8!4LS3oCF*4}FJSQr0&@I$r|qb&iDtvNxO?0B2iNm+(p|+!k3=*9{9yn6 zEDpoHs9r+_g9=3{RhWjIy^FX}mnX_6q0z%EeaQgvr;kn|B=mB%#8H-|FO~ata7}S4 zWb;`T(zzZ;GLn#65i1aWfltjb}Dw-mFWKPwB4OEX3X*7-Sa{qpD5nmY1j zuZL0unbY(ni^Dk1A+bxK_lcWwRxQa*&oRN^J5IG)0A?rVZA2qnG2+=99K$bb#6|Wp z0+-`#%sr=7>^55~l8IH!r;QQIQy;6=KHW|z5%D2>_o{m+YENkUIpeL3B)qcP>S+$ApMNY^#^eqHupr z1}6?i)ah10IY;MQW&XR?x0DE`4qc@HaFZe{OkxxN36Sw#}8>w{93{tKn=+qtKVi?zbPyx|_}x zv|3;yy0%cl3#GA{E_VS1S8o_ur+`jmOYou`j9w_ioyqqZ@d-<;*2+L>b0->911U-y z3$|@OSTo35Q-rjYVsJ{1P9}0)vLJ*WI~3A;$#6_q5G^r%6vEN=@wBvKcbp~ZtrOM! zA0VJqKj@B1#`p2CbICV1h0n%Q5(3g|9N%TCSU`{(u?iVW`Zlbtnjs|MYd`?6Iu87B z2>y{NhX);h9WSn`j@qP!&mfl`RRd>o{=^qg50>oH+igqV<}vIq8h#RSJe8rcKk zE9-sJ#;4|uq^WTza=zx0>!lI$+r*eUHJ@>Gel@>fTOGgaEnM`LS6=UsO*tBi=yO5@ z$n7wHb&`DPT}*&StgW*YG0$M8YOjR<*Mp*0fuUv7TqjOISchfzqje}J9}{fq)zD+}Cn`r1P!be4Uzu#bk`7$dYUP#7=LdQ{#oFgz`&yq{ z@wUGy&q5mHRk9nvO(_q>Cl-&hU*r(H|Ga03E!ffZvDegXwaRB%JTVE@Iob_{828{O zCxxKyq=y3CCa_W+ILrmxM%xHEK~lJ=aCW7&xXF=li%%|b6s7I)3Bzw4UR)Q1!d6;q z)gS8PlKki%q#FF(jH@UdQ<`=rC@Dok!q1X+h+HP=nV{I{9l$62@;R1+I5Y}sGWZ{@9l;FY}wX`mE*q=L^PnHkYz*95HKe$G}7u7kZ*PN+4My)@=yzi!x zJGYN+qrDas%(YYFcC^*AE_7QklGy{Le^N2MzvKC3BDixuq5J|;Kw|nUSaQDDWL5Bv z9k{PR`G-)e4#{6;Z3lHv&CB=FSHO~(R%QB%C~p^_)aJ;##RNS+K@$v^r@xDr{?tCJ zIC?NlreET_;U@*xg|8a0&kr)pmW&=VPLT9<8_Z#VPAh7-xRjXJ<-`4O~RuVGz$rGD0OI(~(!YTv_RA6!hBg1M(R667(m zo|!Iu6KDj0oN@%G?5CO(%OUwh4DV_#8ndEfpYjhNZ9m*40}wLFFE}J{IJK!M8$NKa z*tBJsLnZMxEcghzNgFzR#=uwx9UGTD{LYkddSE#FfI!ZZ2s!w6+C%v=u4v(*M!gyFF>42XCI3lxw~re&TTA4w0rKQuzA=% z9^I4U{#L{`$8@F7S3)?cAaV@Poro^)!^6D*9r%VL7(6(?%xZ;+W_h6pMFucZT8$c-DbcZb)R&ES#w>;;(ZYf9hlZQ;= zW>=mB=1!1M1m#}4Z0U!TzIV}EN^x}tHzc7y{c0|WgbdQYWcUdXiaq+`@+7iD=PQQ% zxNq5Irx-A#58qCbu5rF{#7EPO_y@+eqy z9p#nn2a5%uN}p}l6rw@YBUOi7L)+yVy%9(ixxxtcZ5q;-42I(Fzy&_&c%EdnCANuQ zDkHgwy@^}!Z~Q(vS=~UIVAU$8@2ZB}z+diit|i}TvLxB)r!6o0>?kxn>mQ*XJ>r{3 z$dPm-g2No3vvVtYibrOG&(2U+Bv-pk{lgjlrN@b`)INmzISw=CS8yBfj1mXGR< z4QHp6jlex#)`j8hGD1^mLHVM`KNMp*d+*jJ4zAwukl#E*Wdkh<5#=X1p3O5)TKf1; zfBp#MA5F7W1&UZ&<#`EVq|56UR9-x+;n_bN8gxZ@Z_}=*^2%QJ`^lSG%gJ#{G1Gk= z^Z>EQ8pW{IjkH7Zd!N{=d&!r&&1;==TI7`fN_Jr0gl0|du3cCpKM9VeeH{m7QA6T4 z`wu=7V76%m8FTY91H%^|T=E2uz8ngbARt+lL79IR=+tk)Mz>_FpWNvmkNz9(^iaXp zo}_4V`D9ag1rO3qHE8Pjo48H!!obk9Al-#dx;kz!|C5-rIQM>lyu}3j8s7f_ot~1| zZS5IHT(!&AwJ`JmaC~0RxuR#3NV#0_6{kG2?v2C`w>oeR-_HHetHqQ)Jc*6>zJb7^ zOJW?{Chp`t;-jWoSX~)Nv=RUO;_I`5!*%nSANMn`;@5{~xIop@D`rkl4=J|Voq-wo z#nFNfMo&c?&($omeTmB5-7>8AlCsdUY17AH7~C%bgkvYpW()OR9Fy<4vwwKp;M^i% z2&o)!#fXb%!QjTaC9m}5XJ2G%{ne-Bdyx7oRBq@SH#9pvpNF%zKhHNuxmKqQWs|?2 z^m$Z2ZPg?mWCj60*PYKBAM|PS@^rcoEv?~gFo$c&F_qMz~Z@R3TM$afo- zXMMzu9Az%3QFdVNUoa_Q5ZF!$DJc{9E5fp!LMb(chg%=Ftd^dQ;^(b`aYBt<(JN?c7({jUwvEh%Jr$c(!#`qHFQB==>{g zc0s}33!bbKxnPMA#yKzc+xBl*Vdrxw$Ecmto6_1*O&r({msMO;+#41|O_zsu@dz`9L#{86C~jtvKV*tbs;h`3@NFZjig;sJ;{fgJ}Ck z=zBvZMG$U!Q}vR)&RZyD8@;SyKy zd+hLz?g!>R@h$OC|3N;*y1bCTo|PMb=&SW30A-rTIP3{_|5h{s+oYdfLBRZ{OW}c> zv?*$`>~f;d>asFA1Dt}N#g_Mr5LS_?$fx6?Y4g@5kS0A*KRi=tGnMzMge7-WnorrW zepw-T_DZ7&*12WDyId9Yx?amPn6yXXRi^XvBS=f*>Tvm9zIN|A@TD>&5M?rS+RJx( z4uk$vN1yo4aSpA|9a;B22GV7Bm13CL_dkGXJzw=ejs;Ie@-HQh$lAp4THn}#$1HWPtK#IeBghUCHmA%D#4&C{3A7NU2h*GPpG>bkb&Kh>6Si{i#}P$MTJkIfb}l z(-MF0im3*UoJ76NlOKQwqyShA^-OsU2cGRPW7HQU(3ee}MJqZ)E*KFDlfglzNX4F} zg3OqyjhXGD18=`2#qT#q^iKb{pZS68yOjd8&$YA|cGkp(%e9*uXJ|}SliI?3-n(&7 z?9Wl?&If>*@U1HFc0}&YCVJPQNBs2Tc@<`XsQ0_n+cPCDyMu+uQg;Gdle(Ws_`@e> z>seC~oc!D^5_B4+>~x&S0{&w+&q7xfbiR^eqS&HXq@}CCygB`Oxtm7^-+e)=>l6oRC1)RIJ3mw9W|OCeevCP|8#MM{U2XgM zh^`6itI?T{LM5CTm5W!|4H!iyRK2r>t(=LX(xZ896eDf8)wpDsDRIDqsBD=&a5x$T zY`9NjlqrXO$yYyBN*i1p>Zq#5C`pIig~uJZPgB4*PFDrJSh&47B^h3=WXZkqrPB}p zXZ14YKv0eF9AFXHf*;H@KldBB4$f!glvGTAjIOnY3(?CwGfE(yWyb_R3kHZD(xu9Y zde`%yoOaRrmY~Cc0&^_8=cqTxtckmrc#)v(U~N_V*?v zAx0|i% zWywpGM?PDoU1Ug~X#R6E$g-|A72P~zrL40s~l)kaG z>aK3O5#~31X7ZQ}JYDr231WcOqvxN`e$B}LFnk;jYDGm%LX z;8>dT3%-0DR|ms~(BSL>&?W5-$7qZLJG}t3fRpm`1c@6b_&#aaXHqVVUoXdi}!fzOu+VnvrFV{?aXEV=!%c`N$q1kMt-k%Y|xamttuFR!E$*-LvR$d$wJdjbt~ zH(7|d=s}2R)M2X;bV~sOv?7UDvBynL3+5+Pe;p8{%lE2lal6iKoTz!6EgW2U`Zeg! zx5TTu7r!K z!z~HIYQ*qS(`o}yO_*qouao2|49t6xrF!nn%MPD2356ZNkR`3JOb5sl6{oi01gAjq zHMLlszHeOfd(?u-x;-nti0)ThLJ@8tP98${hhax9(6GGc^?GPYY$IWylWgk~l0=j$ zeUa;uhE(=c<2SbXJQLN_4};pP4}}=$JMhE8JC8uWE%lGLdCwzvDQ39 zAX7rs(s*JBNzk)du;gN?p41=b6)Hr;fGC9-DXdr7u2Qp+*t--~eQS<6)_q(d=NSvcL%yfR*9+2kV{J zPQB0wo^2}ywMYO3->Qm)Y6qfvpN42$MSEhFtl8YXtatQF=vC_m$v{;`KD`I}Q_L#` z8m1)f10uvPmW2#wb{hax<|oYzjjT=caVvrYR^Y^DVzH5U8$ZIc?cfdAQqN4~DMzP) zpl^*Ju!uJ7uWxxerP2V|^DShBciYqS$vj-#`VjK|Y=V-E_+%dCDj^9I#wTIx2A7P^ zto+IG@oM%NFge&KW@JVDyROd|{*q0fHs1O@`~H;kKg0WNe(&t@?Xdx~yhwsqs;YPV z=M@Bc!sr7rkVTi*_4AT0|APwORUxb!b~P0j+TENa~1+(BAcKG?N^%p z1)f}g`d=Fk(xViu$mIn^Ubr79X{0Ai>}{4TsvK7q!?SM}kUpBRyzCklP?DB;Fekq9 zm+!zH1mrk6{+6TQU=aVO>mVjJF^glbK>pXSs|yUQ6}d0m*(y7?^1B7+$FYjn8JOT- zc&`2YHPIUJ?d0-+007q{xba}Z*DyCKrQpmuxDe}Izb&#PGsu9vYi zMSk^Kc^dQJr!C-78%m?%bx51l{y5IC6MW2`Kw9p@w20i_bkE&!KVi@0=A};sq}Y(H zBmaR!B1snJsaqOu-DYAMt>W;uU%&fb@umEvfvwm}mxfOlPaOG%vGR1T0MFEsX?eN1 z8USGF0|r+cF;U4<^X+%Jf0LX$(|>@X#9v{orwo=7U4AH^TSd1A&#r&5$OVYoh8F-3 z%i;3p#J#l$=v>n>giNgDXLd{9n@z_*c`eU!&yd!GCsF`tO)fnJp8-mvZqz=uTt;YU_$r?|7C!?eh0Yow8Z;1K~8R zewgWcfRqm|uC;^)GA+38m%uHNe19Y{Dr&qOBfCv_t*l#ejeSpbZ*T8{o}nSoYPEL$ z?{C}2YxRRt2ZBTZoF9MAV(0zmR+lUSt+pgrjA`?qB%x{~z1I5hbbA|EuG8n-gTN zSwOU<{D0F!14eq2(Yo0|=3D$$%I}1Aa(JR$F+&we-P-oSDFR z5SsN`H_?-xL>vgSKL&#LJlcG!qjcuOxO_ML@B1_`H}%e3d!feSr=jwNio?gP#OP?= zJ*Qm$52x_P%V}Jzlh5M(J)M{Pf1VETuNT6v8Sr}0R!2BnmEyUlz(pbaxG4Wl);JHm z-;w3f!anOOYop}?qoKMx6Bc7Eie2Pze@fac-Acb=%3=AzEQj+NFFoBXV%pj5Go7U? zfCYi$e=G=g&aGw|Wllz&pQ)CHPJa#!NHY^tFxvf#RDL9abV$mK)_^tYV764``D}|b z8)k)V=X4$V^fk-;)G{QTK2BNU>lRvWfh8$Jw-d7bJU~xAsD@YH3JkyaY5nI-(stM~ zA~f+>W!3@BP0jRZ1DQYxJpa501#x~*H0SET&~GjgKM*Qw@<;Z*9+0Qkl;pYI8Zh4-%PA9p8zy@nD^mK^cnnjS6? z8_wW6>D9&tE78c1s##B1K#v-UUV(Lf^Q`jAqnJp;X^XDwEf@V$fNY~xz^M_vrXd*a zU$FSDo+fIv1A#Np+HCW~71lr6!HlHxb4Ad1MygKp{dFyFi{F^hzGdW7@e#>eQdF*npBXloG9ffoW zb3;!i#vq@OvoDdm^Jy)H))nV7GZ;=KggDmoV^wCE%Z-1mxm?S!gq+zx>1d`{5D66^ z9zv>#SbO`Tqg7h4YRyDd#CdY(w2Lh)bP8SFj>pJUU3XpK+bM~u(s}Id^hN@f)Q)n9 z^z0Yn(*Nl_$ic-;W8GuoZKNHU$co&vGp(|(vCd9gTV)>`LR66eP)2pgP?j8+hhKG7 z`Z>%KUgj*r79&qE+%e}}*1%tJ264n>Xy2g1@pXE`c;DVRl%8jxj~z{t zm+2N97PF;WWNK`H67o(_6r*hSroKbX)Z(d z>2ORh3AMWI@CgWWr|p5bX@c`*{iT(l=*G6ekIylX9t@Ti#$lD$Qbup1Cn(Y+3mEoU z-`mQ|_h#F5h_9sOUDoReU$`5-$X_lb+}1;r>gWvYC^VQ^(BSr%PNfv0jd)h}b7H|k z8Ug}ll6E3HYULGI+$DpwfgEjICvQjm+^;Ns^XZWtO#HoVQ53NnEvr(jB;Z$ziugu@RpuiihJD$+yNf z{u(_Wo+tp(&?}*NjaxD1)0t*2ZaYUA5{A<){59Vkf7l1U^QIyqF$;$jk@rI{A9z`P zb&yC}qWC?DO$;w@Di!uMcC1Yj)k#z5IT*%OgkH~Y#BV&0*%f%j=D)THw6cGGvn&9X zoP|n*`%na*z#bnoog}-W<#DYIk8m)2cz+`M9$N3*!oBt_lYrRM%e<~>!eKc=UU}O8 zun7ETR&e3(S;2y4uT6m1hf4@-J<%w50n)H=O%x7|Eles>H{%i`{`ROJ;Y=|Yn8AtOU&w)cPnjNK7+uBVy2s>cL#+uQ4=+G>|loMn99 z%VxnW^uwwize^7O9E0^x9th*5#lgZ$KKIre?;?H=b0geVmV`X0zk`ul>Fsw|Jx=tH z(mKHT47PlnY?_q0|4o#DsbBBPZN}V#bzpbqlaOqN#P!-vgZ1$X)CxXE!tB*l#5xE~ z)IM3RJ|4gM*S^wTFEYBuHidAp2L6y%ua*IE+~;qGzU~$0WMyeEE$@C^<_m1BDVQ{H z_hmx7LELN-iaWg4qS`6aY+&N z`}7)*!%K<2Phw6cOQ;Hkze>^atxMV~k=5$$(zLy@ZI4rlVAU&(zf= zP@drY`2Z%Lh#{K$0uS`w{R1x z$$ZrI*vnRD*-;mA6Od*~;{BVd-ny4Cb{Xx&#iCa`wcf7leLnMf#hZx2IlpP#eQ8o9aApGiRAZg5U2Y;pJWFhQ=vnVVo|kGnMaZXI@O0#~8hGbZk4xoS$P`sLsr+QPl}E zX#MLybgDHftmMDsr8^I65|bfBdzf!B$mNcQ4ZuogGY%^DI6I4)6y3*e7Gk5@=Q+pjrGp^|3j-IqHzI|wz~ zOig=f8=G=&J8h3{e{!hy)UD)f_1&h?&+mzD9G2MgKuA(Wdq3;2*@L{Avl3wsZgFjT z)duV@kmClBfTixUI+CZ@Yke*~*tsU&Ba?k-?9TmL$hgCCIC?>c>1+v{?B5O&C(60C z$J5vZ;ne&VXaTXDCTrJL0+pi;S4sFukmqNnW@pb%wzT_>k2H4~s-e#$Z|H&#)C09Kkbt~esaay5~T6@y_w#ZIpoJZW=iX@ z=}l$2SCnR~&~gG<$|ebr+X0)e`buPMb!9)T!kUQPlEeLN6N_(VY+iKe*fnG*;!RTy zwIe=lewMyrC9E&)qCt_G&nEM&K6LUPGaM(u<|z9n1^G(%>nY}#uRfZ#fk$X>-s38m z6`M;L5pXqQz_FR`W1$g(EE$s2%#dQFf}3(wJE}}}`CjPEEyXT;$K@$ow0LN*yt3jsC4{8KsqYI*56*!hpI+CSTK3bwN!PtDT3(liRME`TEFh zhBajc8Y{+0Rn0QHGyUtATk~O#>wAwYuM{^^FFq9If>&dk4nS=#w{$)vnP=;cd9FmZ z7Kp*HF7&wZ)vk8b#|R%6o2qG3SOtWTr5VKXzC(NRoe!Z!^a%jn+f02H{n|P<`VlRv zo#NmV^|O#MHTY0)J)gYYwj1i{H3o%O{9!>wHw~U`zUR~D*3?Z-z9ZGm!)l5^-5w&l zAmY>B%)^ZYm){?5sVB2p4wh#?ENCy?t#kxD8#}VbR}n}U4aO>%Vdt@mmts<?|^NIT__!n=S}Z9KC)2ul)<9A*$wM z^RP5}i8_N7lR-F%&&a!JG0%vu;{;{`6nmsT)dghwBglq!N>^da*zoKYaih}ize0U)aJ&Deu38!UVu}mD3y(~DhZa0fLXUG4(9OUO) zNeYyH-#lg#p9Y3KKOs;uRXE$t4X;#GETYEG47C)Bc${CioVe&sxYYe})%6&*{f1i1IU7ZtWo#!@5RniUj-J?Lf_V&%4#MiVU?}U3R#4_u|nZ*TSegDk|u_PHA66T}m6KPdutAEg;9W36HkHgWe^afA(jQ>#3rM4vV#Po>i0| zzmhB<>>r7EzO%cj(E9?u92Lwg2gQJvy5O04nI64!Lw2B`^=dKy%lJ5Ko(_{Z(~uHR z!j(%p@ak~LF<&v3+RUW0AO)LV%UM0)EB4?r8?#DsOKet)R8Q8i2!;9G;{Icv8spAJ zikn1Cp2UDxhjDj>)X@9F-v5WXH;-%T-1{y}v*1{fiIT+1bxt)3et4uC<3!*i z2R1h?kHF6*<~x1=JzP#JrT2 z7^XQOWHSwPxM74Dmq{5b21gfn{~YV)MoSEFs!{%Zp~E2Lj{PHNnNi)K1scwi(Gie_6ZzfgWniLrxrovutz3`2ESHWLnXE96~mI5RthP*hz z-)d3^!64N=vv!dawv?0moT$;vIB*o$8n&E3UdUmelI>0SI+h%3*5nF3h4nzS65*V0 z(S6NqzxwNVe4pD8C%Ad939>Jd{|)BvGA+bAN87BX)Wzm49iRT9!;F`+*INN4yYy8uOe8kfo6==;8Oj_ z@@>2_!#JUL!QfF%a;($dVz_R@gzk~6E5(ZBaj)+%a$3?xsEsSClbz~XnqBDR z-QI8NiU?WUcQe8o6!k|A=xO~0X^sb{$+i)tnA>g}fnqF4;le|ps6aGlX(?fhib0Rn zhIx`-M_(^j7M9b$uuxYC6r09BsFmH8k6bkUU{IOh7 z{q`!a)no159L$@Is=%n+QhwpLimb??VQAQM#cvG)#={88 z-XcUtjbdllk&NoApKyHle=x4CC5CE z2nZdi*$!Q<>t?!xFwtX657I~1FdX%ZE%I@3i!3p7uX1 zhldy5D)0$%9aVGO@~XAZtN63MfnDG6@~`52Ebu6lli-AnH(d^@P`z>n_DG#XK5Fbx z?rbVj=iIX$`J%(QB(6n8miMs)9zS3Vgbz|4U-G^t*g4xj9rSwV3GJc3!8A@48fLqx z(?+IixU|=jdD;l#05^G?v|6;vFKCueYnb_V(Tp1#EEyvsrz}S`__*;-E4zJO%Y7M# zoh8kTs1bsTD^P~>KrI%O+xv*Fq|0nQT|S4STDc#UJu(Wnd4wNlWdF)doxEZ7^tiaKh;7+;=Cd@AmMVP2m`&+khdzr9gTZ z&rwrvanx0-;!-T$>p)$#W~1SIgLogmkeK}W-!^eb;}tjiq+)v09}8Nw>gl<5;N$o~ z!-SKG_kIg{_xYKcb5lqgbSE?SV$hBQD~~+&D0gY18;^LM;G|4+W-`}r;gwudeqa)3 zf-d^7=q;gEtvX}7C6Izr+{qQ9bW2h>$4u?Z9@BKt>C8pIuxDEZG7dwW_fvTFCRJ~z z2>^?kTnJ>@fOGIk*nqll?|_>O0w37xq@nR;?Q0?uQT(o%>%|*#S~j7uKC!R*f3LN9abqtla?(eJ z^!&__Ci_l*^j}74ZpO>MTnFV>)8cLtRtS8B@-G=YpU7+}nicQIkp}VV;Jt=4E|hZX z^|{m3q(rB)!eP1G;-aV7a%C8w4Lbk9N*nTs;eH!}%CVOjN%fJ%=hFgjm?>P|*sEU- zL^wh97m^aysn?SS8#ksGIU~!3Y!aa=kW?Nh3e2M>i~q*2zMfMi^wO=oo9rluUx`B| zzsfN4u-MvYRTa<>1<2(=Ss~Xa=3(AhfKq8VTuvB0-6U+_o5$u?SK3Hdoe}XLPA(}P zp%^T%#=6ZSId2KNajuP+c;7#RI=Rvgy9ev?OdysA|7u9>XoJZN=s5&|(Lx*1_SFiT z=TEOme9p=RexSSUZCwE%L-OAEDda0mwCy{2T6HEM_pM3-A6_|}p0WZjuR1lI-P0z% zvvmL5$_=@H!~drn{_<<$KY#aqy*P6_^gW$fwb9Xhg{Q0jda-3yaPS291gvB@ln~vYTj1lWzXKVhBWlA=1C3n<4tjo-yYKfD1a{EIdZf% zY&+$a#g#uOY>|YVAMwow*qhS{SvdrARW2I;dZ<+V#u!Rxy1Q$Ccz1_+qTOgSLNE;P z##l00V%IMx6brTW6t|@n7M#I9I+e}vT`lsmNs?~k|J>SGcB1lRmd6?Ik8SpQE!(e& zo$?3EqZn__NB1ml4n?RZ4_PuJ-Eo8nmsppopajL?yQakl(R0W~Lz-u}I@U!`dbzX>4;yW%@KRGHW+JcttR#DE+Q#p;%*!Z^ z%JesT@9@$y;+IK9v%>vY(igT8XPlh)_xg+dto7iPlLuCzakGN`FrH&eS$LZgb0(aXYXnaPIV;<)H8fWh8P?@{K&)d z~Htp65uX?FP>zrnt7M)f*tytEl=h^^ETyBA>*>lPI z-GU#VvXwOF@VP~Q`P3>eh10Iy*_qTLd;aWC=KRllfbB|k&8k(YTmO9VzibdI3|Y1N zve$cq5OU+hDy=8OKt!&D_NGtmFg17h-P@Av?CdvzWK*RtaqQtq2RAo-BaDM@yf}Kt zT0M4;?@AC}*xvevGFA=$D%_Lprru{|GA=`M`N)_^<6amwX}4>17(2HId`#Uy>&Y4E zPcO5?7cl0sDV7k`d;+s3< zVKt+_NVX^+#!7nXE3)RtCbz)$7ujC)Vd-ao;onHxS(KpLz=zTvH_n7!_H(2LGRg%Y ze6?=LpOI#8(UX5Ol^MZFxM&%8Gse?jJGDLXP(WUKk|>oi%A?vBspWQ67k6!3u+_|F z@gJoUqm6sXGR6t9tE84=nQe5$UJ^^?Wg;7>^qCtvau!E@s)3 z)rG_dcyKPWmEjvai!mn8*+ultX_syVQUh1E&4N69_he^9| z;F;pJH%TeSiO6UkLq(m1acd7IiE%|-fl)$(H zlU2&`d^ef6-#bD-HOhYkY1s?CsA_KTPanO?Pw&U>teIrf#(I?$bTHUhRcN zvN+{+A;|%GEk!8@_?pq^aEBjT2H(i{_I;VagavtwHMV`HRocWzHWe{p#K1Tr zMmB?r)7i9H(Pz;(Frlc$zN*V&{z+U&W_rwMv%Ld%;xfy>`)6_V2aa1sYf z@^?ZOHHv+VsR`(vqm+-5d+^8*^`k{An;iUrbYuN!Vd}#NhUL6u{$YMad{CG4w(M8{ z_N!mhL6c%eZn~r&5Wgc$+iV4=WN-ly=InT zsQWOyv)j|bgc+ykjUyHV{aw%cy$F=~r8_NREXT3olcyMMZf{OrVd?~fS(;P2PMs^% zxd#)0z)tuk>~jdob8|KW48>9LlhcIFrYE(KB=w;KBu>znxx`4l8*dzD*hpl%`GUe&Cqk*9!N?@)iRM0PBi zRe~JKsvUsZh}k^YKqpZx!q`Sc$kFy@_6Nr4p?vi{ z3BJG@#o;kJe9ds=&^Yz*kl3`4QwNDVOO|&9GCzEkG8u^@MUd#o7h~`jKUz7SXR)TQ z!C;Y!{GFzCC}BuuwH^pj_UQv8eI7=^iGgF6`w{%T?fvwa=kx&Zt6W8uV*<(9?R-r7 z>4GC@C&9gBn2>_1`**)UYHl<2CIu>zDH($GMo1gvl?f) zJTga&JBXib%AHkw>ZJ^tKj{|k5R(*6UML1j>lI^MriZ`>490XVAOcaJbSk>=}!eV*f{bftv|ElxTXrSp6t6*(9=cvCPF@ewWpub7esQU@6 znMq66;BjK2BoGEX1QPxTP&Qz4w346C)QRDpi9mXvpc&+f(nnnZ)2kah%&!&1cp~dV zZ#Bkv1|Gp=%h#rhGrcUTsUOOI@?>l{#GSZfpRD5Y?<*J0FEvibsjfK?Qb7p8Z_6>5 zggA0+Yctb0nMa0mf|8cyqIB`vn`Cn$8OWrBjyFXXr8+a!SUq4#&D+`8_AyUfg5}Qs z7{uzRtKtn=CZFz!DB$hk=c)`!$YwD>dwhXh#-(Tz<+K4$(lU* z6M$AhF_GkH9PxXjY*`X|42~Q21BGXdH6o_`8eQX1Jt8#|KB`u`K6S^#L&!a>HUj9D zwbq|r{_OgF@yqWP5d8F@*r7Uz>jR`BjA*UNHl(#G2L#v>B;F8Ki*8NZw-hq9&sr36b$GUB zIy4bT#TUs>^@-og&cTM}PKY@sBBIl4S#(vF8VA$Yyb_Bi9OoX03No7fkVrM-ntHV? zqc6!96VNDbB6`6bd71F(v6v4o^~xZ(d@k}erkf-YQeN<_NmaSuTt@wB)8al}p?!{jzb3W0^YNENFK$T)PeJX@|HMv|kg@z=(CH;KqQgRwcETQa-*n!hYU z9e0lD_Afut8uwtxD_wltYn!M`>zal1RL@6H^X(t*z$qW|itv3}2b*;q5DHChO7e>D z(kym7W8SDtM;&(36c5YOIO7MpQ)+ewWz=$?$*cO4tudZ_gu8kFhu%@|0m{92=;-I> z>OUdML#tmfJ@j)!`~xOkj3iIB#=RcjZj0`^-5_>$%c)j%RGVMtE#^X7MBq8Yn}FBL zqp9TZn>JUpxbFeXZw`LPIN1gwnA!GNhEb6H*UwcYsx6sK#EPuOWJ%-xIm15Q*kIq` zJz0XU@}*6=X*&8pcx9O7ONj>$(70OeBq;k7@>sIb_>-Nz{q@{g`G=HWP2<`Yke?Dl znV`wuZ}^#OgRe$2{p>tI_lPO!E|+U9ktm;}IrvnM>@8b=vLB_p37WBQa3cKD1TT$X zrsjU7!#zrV8fbX3{eEto~InFUNixh!O9D8=aM36*orw1X=n?9;abV z?=Tpzv7PWgX7jyZtnHymlV~ZMyiZ{|QfTDoWHj&v@%oPs@u@olG=qz{v)5j8^V!Uy z#JnYse<(_BaqZy4?W~5{odM|YFh60olskM&u8-aQZ-cxTj9=d1t)ueOh+tasv&681 zKdkcq6AXH9Y~1hRMZx)>+&K!>wN&D6j>2(ieShTG7X1A{J8q~;gQWZ_1aMSROl9oC zYCV}Ms|R?2ASOj_QABq8Ikek)wFYhF_?B-#_SW#n^_KxqblJbu4;SEv|8-KmFv0IG zCc6YLsg>dyv1`$&Wa3Wa&1LB{zknEL8<)sQZfTB`QxbaO6>?p==)dv*B&Ty(7U5Ahr! zwRdtrx;C?Hy9{bwYnu(DmNs!)$2tVv=DZv+r&Na^77dveSmCc^m(atO6M4xa*c-~H zGgrkQm^Ku$E36U?lC}qH4tw`){T*RuM*NO23!B{xoE6^uR{fCSx(Q{YPkXs|Jiu^u zwWoWwg=fT>U0kb^<;Cc;+5NX3?a??VH-{Lvu;}xKk6Y(z@Jn*}hsD5w#N4}taKLvdWcra8 zGx%!XxLnS15cymv^(2^~9BITss9aIVGMk}qiFW|g7TuE7KYF7DZM|8ixBih%*u4|K zJapa$U>51Td9rG3^z^Ctf2l|849eK?%BN$)bcTf+upbW9SLYXLdYYQVsl}cSvx*8s zeIiP7zF6A?jb>!t*$Q9!Ou;Q6#rSXn^pa`tLlgeMa1igl$j)j|{e%kN!z5M*>81F#&@#znN zct9`IFs?1tbnY$TqJMB&TF57>JRQosOGH;AJ0_NDfN!{A1IaMY=!Ph$lXSDYPvOm= z;hgE7L3B2`1A&@WJ$?##rHuiInos`OO`Wj10F0!#IJ739@F1|LJ)_(X)D zJ)8ta#7CTmE0sNfYT1FOMC>l2R?51TvOO7p$CwAY(JyA?{o8Tc#BRe zQ~&Rx(@T8={0_|YV*Od|cK$jV1G8G_D2@UDYzp9wn&Vi=To-)Ykyn->kA1Gh+66C) z=a5AmVN*)H&)Jr}6LGt{{bxSwz5PZS>@q^_56j>^CyU@ADBfm8Axt$(X9gxWq$%cs zh{i46PhA6=a)bzoPWlmsco>Gg{DZiVvwWWHXjVTuE(0lXW7Bce@X5Pz5_LDzPHDDZ zVj3_whXf3uu81NQQNDp5;7)x4-XM4=^z8o!5lp1*HA(b%#3dx!<&75%3U`99Kzwwa5YA>+)vE_s4l+%J>I6aYH5sYb(%Py-_{a(h_@#Eh7d0b(R&&BrCVXyQ* z(5oxK=hhqa*48h_f;}q5lehbnO7;5e)eN+_FAV4WWm>}+3K+xe{RQ{|8`4;cYutE9 z7v*WGj|H&xfq~SQ!$j;?m?Pj~Q$-hit}c4=!s@b&WUi3E%rhG>&pKIt73btuq#3qk zY^Oa=<(HhWWPcM~O%H5#)k z{8CT(IbHf_e!VEo?0Yj^+Eyihbp!Wa^w*qj7##T)xq(gbF8Rfus*ae#6IJ~D|q`%E+n_L}VKvLit zLfk{qA?z_E@@?wiDg0(t2nFSl^trf>o>Qh*{a+u@BKtiSY-9#P^$Ke(y&n0+g^5?77^iY;d0 zM^S772Z)DXeZxK2poq>P)Y)h&!e^N$49#;7grgbN{ckbR9<$!wV3brF*_&?{*?wa~ z(7FbgXx&rhBkOEFB_TIU*p%*Vzs=&QS z8?evNAmNt?;rx+=t1(S zci+E)nK)KN19A|i{QCp7Uz^PUg$U*=S6zPx;bdDUkF~amT>y;hwA0+vB7QSys&fT{ zJp&tf4_X5Q&>DQ;b=@;a!cqxe?MzRYTS2Nu*6arpR8GC@NS%)?!BhAU$ka=mCx_Rh zSZB`w^=yX2G2US8^G5kIT0k~cd&vCC3YA^Im0iv+X1Wx;LFovp=CUQ<{@>xaU*pP| zi#?JszOjM!3Djzvx23`MCw? zj?aOMfdC9X^jiw&7vSWOqVZ$<-n_4|nVC&@x`}hw{Wp-Pv)MbkJRN8HQ6z%Xic(_n zV(_ov<-HR2?!gp@>^q`4hVmyQ_a_#I-~6dXQd$aUb~Cq|p$~X!Nb7hXzl^Y&{sa;_ zMLNCvJz-q+(t!;uMp@PV?xCx$M4tUmXmlV@Qs6n2`rbtHGam!F{+0Xx8~D0RWo<+uNeo&RTG{ogXO@*awNZv28_%lBH^y}Y) zgu4+d^wsS8|K@xBM>cnyB!*DFp_(dpM()OFo~<4meh$}bK|V^T?yS0#1M}c=lPqoD zz2u(aj*bon*NkLt(zxise|g9tvS|(T-&PWU|Cdei9SqKHz#z~l(SE2U3y_DqX>5Yi z>rYmfhjk~6tkebMg5TI112_4lF}Tu||CA1La}_?=7TEcGA3FsSZl+x2%CGd`gceh* zO)f8d>!p6X3$9v)zA`(rA4EuWdQ(Rf^YGlqmknOhodq5c^S9@F0p%{P;D476O&n|Y znl`;FmJiXLSM+Mc`Awx#b6FIyWb0|0U8ZJcyvX-Vvkl{oY0lmizU}{o@-@S0*WTL& zqy#-yK$Y4P0~8puXytnT~=O9}CKFZH;z@%F<}- zWVCvo0%iKNd|8EU{RA2sE>g)z1QP5Cp%k3JRl}c2wtw=D$GaWtib(~aen-)CcK&8y z!+$NJm{YXNp8*KD>^eim!|s@1*sl;~zTl57Kk+9t!%nZNQ|Xa2+46e^``$ZIW4;?G zCi|*cISgn1=D{&!d?a8I6d~4*mL`)&8NJ2~yAu3ARw|(uA2*B0mK0f$cz5)?BYN36 zSw9L?2N{Jrj}4C}9^2x{36A1ODsjM!VK)hSDNp>pI6-x$g7jpjl}9j`2x68{iye}& zM1?>><0@60*XO#ak5S==tkW;)y0uCyIUlKH$k!|U8xYYu!hdC z3Uv+?ji0(>NK#vgXWnyg*<7dXn}0;v@wI+PR1k+SsS^| zR36TtYSM674YIx-;fB>Eg}3@#>Iz;{B3ju@6|b0+9dq!B7!T6FJj3wMXwl-XQ6pNf zo2xFoUWjGD=J6Ah8RL6|K+t}9W~}ygB#4g&tLL%Q@aGwgCyX>dJ)<1Az^slvvX}@a z&-MqXJ0r@F^_w!%h@R1(0|Pd}Uvs3-I&p71!vRO{NJdM4LdU+YQgJF|d1~*drjbOc znl6qXiwsLs*>O`iGl_})eOiVJz_Jd}=?rcM^XIUcrG(SER{(o|s3uxq%#4j~qM^lm zsb6aYV)VMA%A+l#FD9&jDd)>3XYcQ4FrOkmUpho;d^D9^{|r3prg{YbvG~(uX*VP9 zhMzguJ;~*A{8C=Tdh_p@l72A*$zhwvUAH*fztzPNeUSXrutqtV8DnDmaBFDs!t%G% znLaId(H|%miZ^@tATg%+kl9bhJwt}G=;RNTrD$hr>CfrL83N7?cXvs=aJjxMC4=C4 z9TZmkd9#JK$O0kOUPNhr<8xcqx`jBhHm|+A@AP~tZmkMzYAU{<-Xs|3{3>1;`bHwL zdHwZT*RL>=^Wd*nR$V?-N;F5=@uTyXhuUm1Xy}fc7Rkkr#Dm_>Oar9kkua6+pSfL~ zT4Q2$!Znl4xgB3Bgc>(rTK-7*aERPy@#A&3^hBFxp1w!&g@D5P*<-eo)_lqwb8yUX z$ZYm1{+-;;9>g+~+sstodnj#H%@I9w&dEqG=|s!w=@}l~ztka(xGR+r9WOcEqeoms zM_xTkN_tWNv>q3=ShReVbW!qK$!+DWB}_AA#zdFEcZ~H^|BysxX|IWQi`X-U3KWG^AymZcO!<#O}G@eVv)0PLrJA|18Nfh}fA-hbe7eC`Pb#tvz&*z5C)1PX7hJK`I5*RQ@UHb>5Lf&$RViNV`A$~F*>qF6u#Z#IjjOGG8}eP8p*INf)Dv^fC9vu@w`sH65Gkr~vEY4LJ?T?zzqNc<7kk{RZ#1k-s{HaDT* z930dtl@Zu+40Ujer+Bmpf?_WvH~230cjOR|JfXIO-W9-pupX<*n=quHq=6T_X=^DmqVdps7{`F4Ij9lAxaBkL zhN~6@T*(&v4l}Pi{pUFEL}n2Y%kVdoxEN|XAw6lQ!OL^ai5yBC4K81*mBVsC`PPAr zR+uxR!}0=W|1#{IlbIHnlE995pWJ2FJ!xgiG^kbB>z!u)%jq$-h!?N;k35G7!0dl; z1EAB{GA`Yi{RwRA39OTOYA}5-i6geOC|xsrUA)&i00OKCc9ewr`pH&evbG}Wxct$g z$y?z%!zoJ{GomfE*X7IYz&bZ!B$)e<mTMR{M5##Xhm+EsDq zI}B-lHQ_F0N}L$LTD7q+1@y);oDJK4zY2Y3OQ`g{kShEFps3CH_a|)9$~a~mkgFR( z!};5CO%0Ua)p9|qEWT+2rnykRcHL_a0Jl``%B@eSQNVNb7HNbM<|(JIZ7}(Aj1t&T z?m12r%NsxeCoQm82NwE>X~)^78=yrMw#=mJ?PtUScIGVh$-bE{} z-v)&yO6&J$ukY<9G5YQ;Q%@v1T3dN?Jh*(TZquS6xcFHU&DkvJF4Stb!z4V;iT{yB zqt#mh0sPU{gLu*(37?+161-junEllqrk)%#cAm(@*laiFduOKpduImcmlogDF$(OW z;E~0=^|ZM{s_b{@6lYd>pvA%|NkZo+x+jo zg?*T$EuNr+g&!Lm9*-w5d#zTI4rgG$(|qu`^j)>R!Aqd{o^s_Kajsz60WK5>+iW=R zlPGoTU;YKZ7vMepn*N^xyuV!Z44*=_RK2rT0M}aI&pbSS@gFOH|9o-$PTrCU>^;_w zuz*zIyO;S(Eie#k{tN(8kKa>Kjrsdp0hHLg&Ak_D{O6R#|53sCBlr-+D!aQe25zSu zHs%_`$c{zwpA6Z<%j`F;U}Qw}SW{fY7Be0j_l|szAKy$%D|^!-0@Tiz0r|H2aTSTc z6P9!TNF)JSnVwLbYqn|P^zHgk`g-#fg?apCq^YOubUur*yfGXHl&!Xb-wO{@f0-ri z@Bd{KXvz5GEMvuVq<$s~s-w4wKff=2*X*-u)kfplrf?V#21=ogin^EY)_0}-T4MF+ ze~i2S(ohlZDnU;Hm%B$6>Y7QjwXFKRL#Z*{Y@Ri`K2uMuSz3NiOwTw0 zcQya8@P6CV;t4=eR;a#e@x=RO?f;F+y~(N2*(+IsRf~3i$}a!4p8n5T^&fTpg9c8r zWnk1u#R22%i7=aJ{Ig~KaSW?J!Efq!3}2WQS7cc- z;)*eFr!RT#e|ohK6t6=Afk6my#oBuKZ$DNtYZ5U}|E4K(H^n>}dhq+kGs#FDI~8J@ zu<(pr^Yo38-YBnG)ms zu-Kayq&8!C8d!~{9&)j_QKi9WqVXqcBW88*R&j7p$8ePA zz4cw6#;V!=P#n}UqXi}PKjN+aC-8f>eGP9Lj>jU%uMM$G`#o_=0$LQ+DQC!y{X_Dq zd%Cep1etP4rqu5!=D1V8SS#80o~zJ()YP5Rs}$5rTAFP|VJ^ zWVzA~&Y9m+F!^hW)|I*018%GGB{h`#xj9f;Q6x$TsDt;0JXPg^9Cy z{7Q&6N}UB!Wx?Aw_}9N{9ejKXXe%k9agi0-J%H6bw}|pxDuAb2c;g%`irmgI{PBu> zOJ>$K3yj`87!!hJ_{U2oYU9cm2gHFK_hk)DsWCM7QN+?S(s`-kf+cOozNHJ%3KI)V z*c5%YIN!Y4-Fv-dpPUwPqWc-q6s&qc?@+hn{XShmT3Jgpx zRg+rjF@lHZvf57}gNla1aeK8dTX9hjGeu+zlB>Lo4_b>^TThD^0ZTi?df}o)y5^b^ z;@ZpI>ns71hVKSnKBbIlqR^0+gOXD3zd>_kwr-ADU_T0lN*-%Jq z>7aj4Sog+(`6EC?VD|E~#a)piZt&uhi|%oA zzdCZddzT`(UlQDlIC9#)T$ZWiL>G~gws!6K;>>qkhWpOSNI%-lroj)wGHvOS^s+EV zqH~`Jwp$621{TjXTKYA1MMKJP_d>H}Qi+vu61*@)ZI?dl^8GC%w)W%&go%b7XHP;S+vPtrnc7sxRa?K%?injM; z8ZAiaNU)Mn2JR`;rRZ-gE{AVUyw||FPCi+YP5KzYmRzdbNRtO2Lj;LP@`t%7p{XR` zn?s7Yv7^oRPTdn1I<(*#(lhN<2QIWs<<7V?z^7#=re+WrPPbTZMYF-DejBLGF^=AC zcT^bCew90s$tq7OqNAb+vC*xz-2t9`alt9Ef_Nh~y}o{jV$Ll`b7b@A3+=I!*7$iX zWF|_yROFN^O@36n$(hA+%c_~x?=RQYyu3AqsJVDCadL7%4TA=ZKRb0W2w`&-6BUi4 zV=Af+gbPW*f~tqIB$ERz!!rl6t;(+B(4*E+@{{|*gqDwmGOUk(lh35QNlMPFm-j8> zYj)Et+FR}rxdTt|)m2gy>s&saDW5mr&z zPG_5s>u2K%`>y*{ZK3IlM1`)x zwL+<@S)c~e^o%1PbqOZ)SE-lB=+6ZVSV$!%#VCa6DX#L~>>0i9MKu2oXE=SkDQxqh zlO1`?7@qBcpPMjgGgav*Un=Wr%hn6E8X8s4%ALvOk3qw>T%mtm?NHCDU`xBnS%|9I zLf+*e8{rm0RExFiYtnHd%Xh1%;E}oK>1Ng!^vkiJY|TRK0QOMqz8OJ&6}tQ;c^CB1 z(%&5V!=g$W{U~}3wEI+muMmXWKit18gXWxI54n`FwUBeHZ?DguHX>d8<$3nd919h| zTIv$a9Y18;-waVwJ>FO!c{nUk->yE5Nvj4G zr?9h}RM@M@vWj`a-sagbc5HY2uT}PkBaaCjsnUP4J_!QXxMbJ%vF_-~k9Q6AKWMDN zce$ARV(7MX)7M!nj=ovL(cGo>UHJ5g?%6+7+X$IyHw>JPQ~cF@V9nYOM` z7f`pUq`Oi$7!np`na;P@Il7bGn&CZlr`&_UM}~^mY}4zC>860IMIQ1an~Fsdr&y`n ztb2=RO%&{0LE4RoqvAO&{5bYxKTi2AW)M{Y3E>`P$Cw>Xl<11rlY;SB9gc2YfdStP zrZa@sNg9QQ$57OZitBta?N266w|5{Ws5J;Mw(IUU_O}uk`v<0>tXS7rs-W$ZPeCK% z)?wNON9fqe!W|uPAZMlz0vhu z82&p1{(%S>d2n4VvxT>)Tm8~NubTzQw+M%Y@~cm!8@i*lh1vI{jaY5`n0pm>Nh53# z?wx5$BL#E1;uB(z1?S{Mlc3SQ!B(?Ltk{bzKn;blbj%*8CFq7^9H+cDw1ds0>6_!s zLY=_l#mr;GeZd4({(@`u(klamQ@9h&+IU>gZGt*?lzEH%f?&r3v`SeUJHWCZv0>k^ z5mbr82`*S!v+f@VFsJE}>lw500ZL6gXzoyuMI$SIo+&x!3bjn{?!jF6j7~~U+)NNP zw>%VtL}#_vo`!ilBK040jUkw{K6GiiYwD4V6k?lM)>7 zCAFbp#{|fJ>atn?$PxJ3BryF{z?9&ABX{Kbr2YhHYimHcuy#HDx#CD!s99gew}mYy zL#hJlp9xYMyCnm$YZOJ<4=41f{^EHZk(Dy+6ftxOG@-#(8Df)vFlpe_grY4gxj#@f z1C7bIw`OLIJJ}D(PMr|d%ey@bH~NJg>vQ*EL4x8!daZd_O=DAwULYyZXlRYH#_mj> z{bW2w*2sQX-Hj1Ou@OPwLa~!=HnSXxLq9eMjvYOjd^{8$YC5h@WDi#Bb+ZjSgta4m zGp3#wx0TWC@tZt7U9A6knjXU8l*9GB1|pVaoF!7fmVVRWix)&~t)X6M#wG>13xZ0< z3$}nKaKET@G#A(kH=5`>cNu0i;bq?;2+KN72(t)=a6v$h`?H-kjx8P-4-q?drHbQX zcn#@Slfj0RkoG6reL}vAo_V<2)RW}^YYxWHh!QR$L@;;&kgt@QLVKttUx_~4XT?6Y z=)5%|<&BIztEV8v`YjON;p6rV8V>8OIv&)@M_ES|=CjgTqh}%|$!(kN3sG3KSu^V& z^tdM7;|FdVx|R1IOb&|lOFE7aNB^>-@<|P)F|;_{NDvvweTjKh+})2K%NUWa4R&vth0jdHUe0^aqbRhfaOTnUJg5nb zm6O~=-z1}?bH${;h>V~ikQny6DP#X`%3MVsDRji*hJ%4|SfA98t0(%E^->cK;)Fe1 zPoi!3Rf9B+rQGJfye@kq9@!`_i)Q`x-?g_ytXDTbd2QELL#dahiYDL%9Hw62aGn74Y!+mJ`#uCbuz8n(XVxcMAL!!**tOp zn(cY>-eHXh+P>hH5*lUI#VYuTIp;qUpiy568VFDTGYC#Lngk*mhQG$|G1Q)Uh`LI) zf<)30fvniEAXeD@%fXy#-l^Fn`e3ZD36JGQ7Wfug)9-0Ny$Aa307TfZ10tl@;DbI> zmf2HHGYRd-A?zF5j#g4h6k?e^n}~SCs~>jLjSc56Uv1I7tg6TU%V_AcAxojcGc45z zhdUtD?o z2fmh*uAFMoM`Ox{h+Pen3M~Y(Z!7w_wm4LM>UECSP%7f^dvAgMo<$P0gT73WnfQes zTgz)UfTc1e2ilyv;;3T=BK@bWn4LDF%8h<`jT_uEPvWtwlvFa7*o>M`RDg6#OVNS+ zdm0c6f$=r*b)~}-UEHSXC%0u_wX%u=v*yx76-;!mCl0QUOho)v#nrN)=^xawQ(hr)9PM4iq>QJ%IdHs41bNsql&wk~Q zUj2(7{D%EP(}<=oEL~31B@-8{uSLg%ba3Ml3-NON?zM4H0zT|ta;AhENJx!->`q^iDRi*$7Q$? zny&=OrcqUhV$iR}1}2Bvn?VuwvxZr2mwr*v1tTsT95@4DJIJ_HWQV=hD-o z0%$Knl;FGVSNS9Ym|8SyR1qOiL5EulWN`G<<(tcbeo6^V7Tz$+j*(k1sOj^`Dowti zbJYIfdC@o-H7#*YWUmLhnp$n=aK)-3oTD$5Itjlqo2fT@4J#ZDw8}hSs&?+HJ?!V1 zH6e#z5zx*7V+1|y(Q;mjx+tgr1PRnXdJ`n~2wOPI1+H+>j1RF~8|uHk zL2mh7u3~embal7W4t`8=W|`vlH|jgl)mVf6AwCQl)7?a7y)TQOU(cx=dWvBmQh^Wg zHwjg`Vy;ax;AV^@;?dl?VGhH;g|jMVgeDt{`769B6re%#tMeK{@F*J^1*4tnZ4K7_bSu};!&H0sU~D^X@V&Nb z9nSJBTPLdEH_pmsXhlTO*a8V;QJ3T~2y#UyuS8J(vfp}&2L9)F_(KNFa+v$LLXAUj-$P%n*pndc!$h^E_!*n& zq52vT3NV68(8E$N6C`1?~~L&N*$OUEJy+O+)7M<$08MF8cDIU%G%-}i0{uAD0B+^nF=i5 zMscE*Qf1+_`D$C`EF(=1LuH6yNX7p6MVKTmw0E`(fy{{F_UnVrR3yn_wj~rO=L2?g z0r(dw^tPc%prnuuHk#7H(*;ZM{Ca{s3e zvFf@Vt-A+FjF=jlgGFy*wr(Q!e`obi!!EEqv z9Xbw0q?Vn7+%j)%y4Tm8+;Scq1#Ym zgB!PrRrxH(gtwY|v8ox!wPh-x=h#Kr9{74qSBg7d-x+1#_^Z<9lks1K?q1djT_NOuyH$-P&bbzH z)XbDy9N;LNr)vu>by(>QJ(e;3UCN`!vR`*_n~x+&h8Yd4AMD^Oe15X7TIho;e*0|s zQtk)z1T5WC6w=iUGA6e^}RcI$;ryj?OzM5wJjCG-G52{Smc~$sbgNs%Ve{ zJ4OW2&VlPNn~43yV=!VkU;fLGo8(K2b*LhIkgQuVUrKPtUoEw?$|X*(YO>-20=yQT zdihO69{@kgpZ7S8ZyqztNu{gG1yaB`B2iz00kQrwhbg~%JFT27ANd_3`{KP|^e64P z(Tw$I-#bmAv563>(1O%lgxflUtK;$=f>iP-dmgIa&0@jp3`^XIw5FemYv~U92XH%79niXCE&7U{0 zc}tORqxjhJGY*g2N_T57Drp*x@-8^deDgo}ZXwe6epTk;4$lC614ZE+O zSKTz>P*F8Fd=X=$U%8p@-Bz;9$(8mWGEj0afWMw@4C>lAegn!?+AbIV;c}R#$PCq_ z0}Svh^QwckgWXAhoGu=-cNVN1pHM6U`wp{+ndj{6wl`-nxGtnn$pS0eXTu@o z0^ECRTS}1I`!dqmJOY(0LL(Y$JTuXUL!LRLmV;w}+B!*ZBY6~pSq3pWqNp5YvpsS^ zd6;3);69?@rgs)#W@rio2t^oRZo3eR>O_3s{YG3_-~L zx4~@Lx6$zQSd!MF2iD^i>+6NmSQ!Rig!5uxbOk%6j4U)CCR3=bs31eOPXxVtD$6gz zrCBjyqwnU|lD)an?szB{`kyEe#CPfa<(|i#OmVh704n~Er%d|Akm%vWOp~O+)dp2o zN>n{%!P9Q7&DI^ZeMZ6Rmc6Mu@WUII+kz{)I7=z}P@+ctKrvXX`|0fSx}y_9?*IcO zIh_e0fJL{XN7~D~SzrllQ0D0G;s!j}K?eGFE{Y38etr2wSiFAsbZQ%`CBZ}PNQWc#Shs4aN zgMleI(f6e8vBRONKyCyg$tx9X=)+Z=;qwqLH2-D{w)IPISU3!ULpq$}>5`!&64jtH zI!$VOV!i$*{nPSi5IX_#r0W4^UQ3bpasA-0d7Gr;532ASICZsOx`$e2KT#ex-CoWgB*3nd z-hziI#{4LA*!Ka$%!#40r3?JQcj*sm@-at=D+h7&F5w~<9^{-}9K1=waV(q@eu-L0WrVsb0kBgK=%@I<+D3Ye(}pvF(Gh1)?!B&7Qd1YvVgwbRy90q&luCE%@oVz(F)LM+h;tW6NL7hFW2(qc~J~ZBe{u(LDPD0vWZD4*njd!OcR}5 zP=vBks9t-nZ<>#5*hkulFQL3iuRnVZ&?}P>&M0Q!aLj9<$*q+|nzh!nG_rx+j|knlaQBrsyEer?r8n(4zj*rHQoUxx1X?V%@l2mNR;~sVZgq_ z)`i?CT6Wt0UA!!U)}Ci#GfkVj6#%{4$o!=)s0MRW_M=~ZQ&*GXrv4@(G1SE4p;=IRXSn}oRhf`1B*lje zmTR&@7>&B@oK$f*CqB5%RpBtLbW7|v?Yjm2`lPEY9y~ru#7z6=v%ap3%paZyC10C) zm@5q6eE{F2fQrd+6emkTYfUe-fw2pqJ`vg=gMpgUqOXJF2S28h7H!})RI&;;=;-Ws zmA#)OJF17hQJoQemHtSvTOqq&hgQ6eM$kTxY1g4xLAw~-EET5E1(T9yj(9$jamlN7k1A~@bulZcWz>4`sQ66%#JV%=LGCyyoXQOv%(|vrB7iS zgS@S)x2f4ZI~0C@-TdVooKv-O19sDcHIU(;rk&QlNpO7BX#1h^PqgUa9QXdGJv58` zTCuHdzh{v2X<<^v1P^n_&#LDtUJUy3sQ4(NXJlz3uzB~fZh-W8MZi`|%}K0C+^39e zHZOOlx@c>a?#T4QeO8#S<*S6QI#HKQDES58wk!&&xxi%PiTjbBt&@`awED4VqIsP3 z_RwO^?B>k9!S8w*^9w7#9inBe4|@U4@)xcG@j#Ax5Fb0Pg|ZB6l=IWDgTp}LMIES= z5*37P*%wGPaBUz|jBoVw%^~40zKkSr48rbXD^8Z|=+N}h4jTn~@Q5E|vrtJkx=H4N zv1wjZ9GYC2ZsDD>QJ{ukb6#ezszf95^I4gD{Meyt1jz0&O|l)D^A2Zo0a?5jFpeE8 z&B_ilI?Pj8HL|``Q9p0KWa>zc;BrVGn1iC4zT~c` zH@kHtLen91@_{4yia9AUXy~Mt7!{#EPLVpSk;r28-3?(%4KH*4wkK)rmYD1vvif;S z7W7(5h;^((Jo~$jkC@Ge*HZV|SJkV+l(IX_%w(@j z$3FhD-kzoRD}?IN!-sJ>pAF*wdW!81K)1qez6RbDUJ2GpX)LDQ_(d4Tn@p9XYMd40<6=Nw~nv5xJ?VbnwF-_FPHdKO=jr6|<=74j~__Ao(+n)>3CJqR*0=H$qYw&PAuj zR#USo_K;-^o9n9blKFU2tw7QjWqPAM@JN2j%mka@ol-P!0#ibKB(qoH^B~09+FVG4 zIy>bD9ii?jQpOT3g_Ke%yYF-=Jl-nBxU%NYU}s8+P0!=bg-vjGf-6;>72~D$cV*?I zD~gdUj0+esb&m zKG^Q5GA+(jiJ2xZn?7JiQ8zDKD z99l8@L|V^%w-_qfG$psba5SS8YkQWk37hx>TMiZ%2(7YH5-4C+N&ni!rmw22kF;;>W1V7|jHo!ULMr;^`~q}}D%OVd$( zAXYKgVIE9p`uS2xT{K=w0-+u1uJ(ndssmB)x6byEWUp^aqOeOVf`*K;=<>fAX7b?u zpdVtb^v#-5^qV#Q?`nyqZ=U1Cd$^p)4)#-X<b*#)6wGoPU#P))2Vm4v{MaVxR)Qh*YD5M z*YFIVQE~SWp)650w+Hiz+GCFn@qrs~x@yjEp65O{JTlKDBwU(4z7zes`Q|LQiX{Do z)EkZTqJVA0;QcJBhLe%Bv4Wlux^(P1DPdDF8wEvCk^{e?C#lJ6ig&CZg070~t4Vw3 zr`0%^SC%aA{2gWhV3FvBRoTwf7B|U_)5J0@zHHVZ86b#94Gx47JVaY^yE3HY=`v^-QqP6vwc&#DQ|<)b zaITAuwW7wUh1nfb3wcemEs!8x&%Ht*HLX`5&lsq)=kJ)OXE`3Wuyiivhnw}+5~;PVrK*0#PkVY%1p zU(WbFYPtU_-Th=~A?Y0(Wp9h7dOuJ(=?k*TAG3bgnD$S-8`Jh!Y{k}VI_JL?UtC4q zF(`P|h_5}beeX>F4GMG9{v)y|2|GiOtZuVc3TWo!)U@Z0CxuXYi2Vc$qrhDFUQ6r8 zPSZ4)XTX2)t3SPS;vWLitNGjk4!^Mj>W$3cW=xx|fPNXM6Oy;W$!~vVSYCPMhn6Qe zsH3>_(Nj>TY4(q#N84cMk{;Gn^SJBDWjqb^O&hwkx=`;5%R)AdKC)B1a_*3wViib) z6~A4&8hg<54ThamsxPRYvQbpv#f$p)XQpDcYtLK>wbv@n$jSs2^qP#Ww%X@S%@~~owwV3eSE2ku_;s)O&n5P z+@{kz(3K4kpNZSa$Otl0htu3k4eAZ*KPjetgvDN?R}brJm$gN4Kru1oih^v44U&Cy z?&Blh(*8s*IcQwl)6QOp8E>z?@8x-YG9jy69hfT2xj0g-E6BvqbYbH7JB1!Kj8DnU zn7|uyO8}A(lFG2HInbdW{sz{(KERqS+smr-A0uyvy#>q^-2rV8DX5|_s$7Yr?`;Cv>wS%PSWRH>yY`k}M z^&{0Rk_hG>XXHHaXV$AgoH{^PYXgrq$k75YN3LKuPMv78Q7XJZXIE$gE6}s!g;G!W zD{!_PezOr>GK@fBH9Hv|<2dNe;ny6~e}=@IZY#@iGG7q3?+FE2W#*N3SZ)M)|&nUG{#JRcmrdfTRJXq2E*~m zjuqm(Uw%+WKclUEhS@ZQVoKupo^&}c$Vk(2D~1ya*Dsy1KyF$Uz3_%8Cm!;t{U(Sz z8b189B(&y?BtwG{y>o}+Z53#N&4uBUm7v6LQR9S3RGiLp&1Q9IMu_2c_g}KAcJ@Jb zXLLhtvr+oCajYx0m7AKEvTIiXLQ*Mi01L5G9oc+HPa`hBQmyE3Fn`T{qphDI^!%=? zLJ@gYFD`tb|2NY+Hxx6g&kBs;Y4!G%Z)!emNM?w?)e+pUzbLsid5OF-^T!s-7tyJY zve>^}TpCP5tOxpuchADECD%+ry?WbRTK(ky`1Ye6b}WCF2epny@JN!)Nw=n5mCq!b zP$i)+r5qK$HPYL6{-p>VFH68I-}oX`n#B+aEn%ExW{B5L!NrWdWy$04U6Ih1r6YvU zRe@Fd+vqre1$+`zBTUWiYt+hL(k>FG#_S(*NmRwG8W)|^|BF7RYjpo4IF9RdWX-@(ez3O6v3hXm*u#P6=5ji{o1A z5V=4(XC9j(Go!>lSCSUqS|vQ)^rbp78cp}_2JZJ8*wGQfOhiYzQ)eYI?t01P>I_7C zAqczn{V%n2^yaf-qWxLq+CVE>%At@Ok2@YV9Ie0mUmFyOHOz5y*-khqIWJy4;WrX8C+ThA4?%{8Cx43E2R}<_z4=;Q-o)>K2*lo_;y0HNI96Zjv2vt%Y zD-zuy!u+r@UTx{(=r0@QBA`}XN_k>}JAbx$*}>vCx!2~=UDDs?0a+&{9ve>d#bNCH zGx)mhlW17khsKd@Iz;)|xQPBO1o+17?Cm*?t0DdS$p$2LFhL$!aZ4s=2BlET?%F8G zrm8%%#i?Sd5@oV+%V0)xb0V6mFG_)0Un^grEb~YKs2JbYa&)lVA*fj8+~hF^u!`;; zYo^x~jdh125NRnfQW{0P6ytu`2(-o@;%;$FTLp40FaV}r#P0NxjfRPpP z;~Qmd9N8k78(-Yk|M^Q5>9Qf1Pjv(}0TBEY5I50MHxzhfFJ{pGsjbYG^##K3`q^%t zFS0=x4A^#7$ms%T9H8moj0Jy!i!Un0HFj)T2vRGWKf|PAhw~9TMwCeL32ehN^9QnD zmrYm#PTHh2{s9t6iP>&5IU%#6#mO${1O1#vqkkdNFj=VrH(S}fWKVk;k*g{!*Q_Up z|9t4)z0E4{pp`-B?Fk)SxjMb!3gk%A4jY=!{RF<;uAco~8+&rji(FuD;ze^51hXJ% zIqUOl71*yp@{j+9JZ|4rL<&1u1ql|eIGh4-fZiXH$8Cp3_ zm|0jkjZ>y3Cp2_yGIiF4Ji%d=<8$vE#EQHeuRK8e^!AOt!cAfVFNS4dx)C8 zyrc>8U~aE|F2Y8?_|j`pfR&;%3R)L5gv_a6)bJzb>rb z{7Ck9D?%8lvqx;Gm1<^WSLn19qRYPvDZ-{Hoope`R~mwq5PN3JQeaQh@cF)D@3Hg6 zi5sC_O|3=WHox_k;d$o0oZ4mn*7uVO1MVXk)fo)L?WK~sx#kQ}ui~v6>vWXwPJVUY zY$7L5Km$54Ex5*=(INae($dg$^%ZJIHQ{?EWZ>EVCGBSYWf~%+j%}2Ip!9aeh zw@DS{Nu3I%EGu=at-F7j$#L%>87-0LgRP-{+R`tzUBuLCO4}{fUp$bO;ZUgH;n6&_ zQukY8RvI4%An{WTVni`g6ye?`r&83_l3dWe)Gy z=~T?{*NGw*nKfhzaX{WAhx~S2Q_Wn7Ah?~|*|Y{2Be6a$Py!86v-ClJHLt5)3Uw$Z zM244R2MJN7gofRqmk&R#e)C$>a3gEbqLxriJEw^89w0lu*vN@@*JAP886FQc-tg=u zy`T};bLl0(hMGvrMMj9j3hfB2;>z}F3JsjjU zz8ry%2nj*43ky4y9pGPjO^zAT$t64Gyr_5JSCCv5PSdKLGGb+4tM6kBa4AEt^w(+q zn{nlzD*_L;6t>}*9h;M|n0cA8(2MlPKyLAR!R6?XB^JSF<5!+DuGIuYFJN$MHB!m` zz{-oE@3_`B^2^(1u9Q29fm;C8o3e?o8R(;Cl41cQtR9;L~l!8570+SdIt$;b+IO_{sz)a%1q<74(>>4=g4+V9hnkJ zK+~c#3tMW>uy{VPz6uq%$e6aMkoa4?4k((+iL<*gHLG>AExbvz$dAFjIh^bZb^e$p zabl_o6p%pxzU z1?6OyHUG%%j^f(@7u*A2Jw$UXOjk0s$~K!U!w;~PB~us1vb_Aj7e0I{ zzMm-*T@dWHXoSWQO{`>+sR?5@zy|+Y7!*6M{hy^#ib15(l`&s3LZVyfr98shrON`w zawH{c!Ow^7l0%HbzJ}L)?JVkay02^7oA6a|?LqE_BSNa+=;xON{h&xZKMw}P@oYw@ z2!w#xrJczND3(l+V=Ja`1F!AF{o&sasy5#Zrk@9`xO2aezG?ikq*m+y92az z#YN;ul>B1;L`A+@p?NA;xkW0@+g_o4a*%PZBy{Bo=gLg?pYxx7 zgY3+D=OVLfU&!aR6vw2zYmQ($(0-dWHPO@K~ z#pOSa0F?G(X@S0Wmm@kBJbYvIhT3cKccVUMQoCsSq0LZaTQJxWJi+U1vQMnQf}gb= zb+kNZ{$WRtWhPrL?A8)g=ZK-6`0Yk%gD%ggly*i9J2~XGd*%Wk9^s;(Jysewbv$P1 zUEav8OuYNPrl5*A!dLGq;EGI{bHI{@(q6YeA>FWEP@fQft>*P*nXap+u|1x5E*u0; z`p5S>$}~G>W@1XbR`q|D4`iEczuQjKYL+w_!2Pge+2ydHU-lyaYh^x`f{&09DIp>2 z4`I%a<|&}d2=>qVA>acB#3_Hd$`hcg2RZ5&p2w;)Rs!H!0b)g8Ri*DZ>B(w@X@t0~ zZw6R;6x5DxoI=UgQ^VPfvutQd)c5QGEI+z_l5F0^H^iit&*)Y^CzhEwfKin-1jVxB zcFq0Ccowo^A$&knX4jrr2`)&=ppTF;4C1+tS;!e&p*+;&*H4voIG;bg?&7PeOwvEk z(FhIX>h-{60;veb$u)srdK*=)(HaIKqlS)!LRDItqlfp2e@e zxsVVmRaOf66;?qOgH*h0M03Q!&0_`?pr3q%y83|<#3|D3p9b<{+|m2Ww36bhQABvV z>~OaNF`KI25+P*-MZx^W?Wwfm(uMp?h)jQ+Y~WipaKMer+Y5 zgX;;7PPVmj4ywW^vDy89qx8AQ9SB^YeMyL#57BbRsbd{OAF>%{G3ZNO`7N(Pmt=o= z!VGyh%^~(^Mz!6U0QEA9q9w$uw;=yAD?CV$Y_i2rr@|qBVHf==4k|Uhp8U{Mg|4pb zY~xZ0DXil_bpblm1fv5Fq##zJ z2w)H@RAU)0RB1sBO#hD(&;^9pD*^63$PL<;!!gAj{dwRqh%^Ho5^A@KFbp7(yTsEi zI{l=si<_q~m($PpBs&6-3g%AzZI#P!W^$4k-11^D3uswQFGxP_(|xQ}1u9nXDbaxo zm6@&r$t?bAxBf(Cg8DgO>!$M0!0XUH#a?GEYMqhfjtPUK$>mG$9RC!9EO0DwLk0-bl?9F7~%&weH%)!@oBmwhnC0$Ws zgl|q#P6)lnlPW}KYD#DO7`D?gC?aWewdY=y#iD|1oNkc)Y`&SZ-_P~|Yaim5yTI94 z#D6dq2xy8g#+&{nRAb_EYoawf+FVy1ery<{u?b3V8)0}f90`pK6gEt%OnrG!yMbpW zf?j2mljfq-uG%S--5<&)2x8>>BG73nytSIvD?x>>$m5{fjBnaZK%=O3R~=EBvRiZZ z>R!zi1x`(T#havQ+)zP&)-Eo;v1YD$;Alr2)7j8rm`kn7B3#9_LZRmjYJ_Q|NEfao zABiIYJNtS1eZNm&CLh1~fu_%8LN1$*urevNDSMT%4--+(g}L;5kGVK;T-HKO6<6r}qD1=J?3J!=%x*aLcj0OT62 zGVQI^_f;9Jki`@gIPdK99;%!>F*L(d449wd+B{@%PG0KE7;ILM4;xYX4@9v052=EA zpIemiSf67Mv@c9S1$SbL*lkKv=rx+eVdzGG|Gb4j-t;Ge&53^e@WmN_{A ze@6e#AC?POPgD5>_{KK#JB8n)&J5L@+GnQV3W`DgaPrHNkN{{y$D8fVTMp!~?YGPHgw+=qdQBt>ye*4x=K^lWGc7Y| zRK0MNL`NkMg8+u~ciOi;>JZ(Ju!MYBZ~Kd5GR7~qy80j{M>;aJ`nWMWP|MbWS4a-D z6Wo0a>cmG1R;#TAoaeB=teyD|d*v@GMw9B-)4Z4HMRuXVnd`gNzKl68R$V+_o6|79 z@yQ3*Tb^^Lh$+_NraKvkwP?=~^IO&1t>FYSMLrui#FTX!lRoZ)eMZ@N`6aGb+t-(x z9C^OhyyS|iy%hTOq#qquW!*SrX9P|z2O=>O(mx!j?7h;8??Oe^7Tz6i(F!t41L~6# za!0qq6Sc%7jR8jYw??z$P8yLvW@6l@V0%9cuI-W-i_y2 zanI@xZ+b@AaFUbr`KEpbDzg%^?jML;af}p6a#s_VB`=N-$0DidJJYq8&jqyms96jA z3a(8hrVN|+e(~IyCWk1V*5Rog_K$R>z;KQSRLj@MLicC(AeUsjs)O1)8<%Cl(Q;D# zDm3qjk`+(z7Ov+ug{3=$DB0X{kE*!}eJzJf%zCAdr>h~4M}tALRpTA2$-aLVeHfcH zHpOjgAKnSfv~Y%6^p5YYzjI`#)OjkQw9OH%w7zwVsk?t6mBu2yEAtE^gb^%FFC+w& z9zA_U?9kkmME2)-mps45^g>~iaBDf`2goC^m&1P06L;#Wjt~XW+&5rpn4RRFQp2hmt$KD^7nE?2Up|~3 zGR@N%*+7?ePY`E0WeK*{(0OekKBar{^=+gDYm=nGJczxW zT6K`A4_1NQtT4@vjyUAf--t~8Tx%z@)A-bB3m8!pvey1xBx|2*OHF-kIV;>n?BUdW zc9g{uh{&>0+POoa#UM~L0rgQ)RZ!QPgr9ff-MA-gJ>o);|A!&RAP0T$|5K;6bJq*G zN>bcI-9QEdBe`5Owg5SMs^P}-b6OE&mb);ZVf;glMjHiAMSBp?(t<+#_T`vOe3+JY_)5oS;CXh_B$s6*$2QqxOmyop|4E(9Apph=xW&_o3y3G3Yx&+ulsYV)D5*_F~6 ztE}?4fUp5(`#ldfT=%ygy5iRzltlrdUhlpLS%Gg%p-KFD7>uQbprt=rOGn+Y$2D2u zHKlfH1{80~yoxvYWET}TV2>5zd0 z*AkP@_naMd#hKVPFlr;ShpQiin6T!q;94rZer*J^7nzX9xYtA3DRzm<>Jtvy0^F4pMpgg-tBJF)swy)4$3Y2puJ=xvR+?HTk;H6-@I5H6Ld=?C3k% zZwla5eVY-ytrOBh%9hJ03;C)ABN-Y+ zDM=G8bk4mtV+AHQ&=XyIxSu5j{V3`W>0nCMi+|6R4iJ9e#DDbmZ}M8W{FIJ%eOOCd zcaUDlJUF})Crb={cL84u4G}sE#MjeBjxUi^0nAHrSEBJhql_0&KACtc*LLFzGeHW= ze)Zwf2jj`LRs{uIn`(A`>{yo}hV?$$v!9+jwEPEOaU*cMcV-26-e}$yxfsgTK3e$9lGAu}soK2kmUPRBHH@rW)^Za! zo)vIbvom9RBko2m-S@qsIJ$6+*|r9M|G`&_AQ#h~(`%j_CY+CLqurlBq(wb~H+ESW zbi6?{Rz!RdS6^nK9O=dE`PlnM0h6bw+g5pWvT_$UMK_%lnK zngsa4KdV0w70cAbAMnp<($r#ofc%iQk$?>1o(@?oXGK4kXOEBE#hQ*IyEo4=5N(kV zjoSO%)uheK>3dk)qIsu!e^~!(VsUx3b%QW^AH1UAar;~jJIX)uhuuv%%Qvh>UQ6XI z+Sfahc=t+RWPj;d!{^9?zwR7{o|zOvyB%a6WjoRImdSi)Ga~TnN55>)*E;^wqH*zz zsO8l!`}54B(3pR_CUBfOaMW>hQIZm_g+3>xhPd4$DeZ&lsI40vx!yT}JWCyiM-I{n znCAY@%;yE{s0`aPw*{98UO^PRU30k9 zoI=_xapNb{+a51%I#bQl2aF2(1oHLI(~7sNlmzcDN%-9uUZ5=$Rqoxhqhd7Dz0(!>EdJ0lmJ3B_#Ovx2Y z4ab#=i|j8P&=W__!qEJ^(7+`;@J#tdG)tVKzYN#f6C>xDSXtiQHVtn#Kxp>mLmbdB z;s*Gp$q;(J+r)Y7uuDzjsDm|wKmiafSWOO3E25-|&(SOV%fVGI0 z#m(irQNPe}mWl3gA5ZD(ru{pv8N0<)Is~+-)Lv{);X|PDa*zZ$&0f!XF9kiEAWx?) z+3x#$`Ye)16-=1oFk^7%A5kLX)17P-$;kQ@&T zu@~>%W)d@U-RV4%kIW4<>Zs$VAb2r>nOJ;^Z7G|Y4o6oVoT7kqXpPVrT|J*0A0;C+ zxt6Azp&44s=Szw4 z!LEj%?^wBz5z|zY=sV^LT`;8eqSP}B;D^w~>PzjD@(p}3H0w@iu%@vY`qI_Y3V6K7 z2y+1}ksX7`eFcqxUZOcPP7*59E{?itA3;@9XbD93OSKL3&3k;OFAIg;j(Q&;rvA3( z@wkI!bwJtSY}@<^Q1w)|%Yu7o5C+qwi}{hIanpnfSBQR!U$%UVwoz(Li9780qKbjsZQ)2L$HoK;N3L2XG7bqTe*uV|DUA4+B@ti(DKK^@Sn6LAi zPv+C_qg^?vH`UycG;e4U@GwKjPLWCk6|>zPux!WmKc+^_cK|0o&fKNlPy2yX<9|2v z(G;xnXmxeRdh9_P_lh)bDFYc47-GcJBPpOQX_CiK3`4D@?HU5wAE=FgQbLw;Vm>>MGcoM{hC7klQ5oT%pIFP}(S!ejP z;WJqv3pFZ4Xwom7-T6Ho@e056{XzGS*TX%@m2paFrIun@Y@tl}_V6euFQ&X~GSnBI zGPFnTuhM^RP|mK*#}m^m+NpWR=Deq}~&Fil(=V(9+rCJP&y5MAHB z$rZYfCrWP|jsOLpV`1Sd`unSEx4)zO{`j{Fmmx+X?y&9a5gYuPdk?1PjcXJx9a;<$ z9B6Z1zq6{|u)=0qicc>G(my2$o!^1U$&&)y2UuFn=5WO5i6Q^^slMPdGalu~rr2GI zhv_?OQJzz9n)ze@!E!{WT^EiEV%U%~J(PP1^-R#1D3m}HaA(8Mm!ObE7mFRNPO6yM zc5&>8E*dkwv3cq*%U#8gTJAA%K4F6h5!>1MDDbRDUtdWhsfmHVJr(?tY9Z;;5ya@l> z(>eN6CzmFR%g_;nmWSrGJuW&CMF!WE&T54j1m&4rC=0^q@H3%T$j|d=DixiKvZU?R z$=J7z$N7X}eq0kD^J8p{n~c~}CkY*peGdh=1_24oGG!1Iq$)!)8orE0;`ApL&7H;c zXmMV>f0OJvWWw&!_6!AqLj$h!XX2-!&P>MPd}+IIj82{A2?%{)Gww;RRc_2 z=wJp^aW7X`HW`$g6^6DgXPt~u4A|s$7-q)NODyZawS{auEX7vmGLnFF778R7G>0OB z#ud>NWlQMrR~hGPtwhDn&J%7)=dmf9G4r#vvR+L4QJ5%@i85*cyr?jlBh|u4J@*EU z9U_||@PLjk_v7X$_DJ`3KpfPO_WJ|=V><`eig*x;r91|3_ux|X><(x;R3Yje0YYc6 zbB^w&%OY#^xL~Ex5~8)Go<4M&VJp0pie8-TIlDn(t$-D}%vNBt_%Nu=148d99nXZHIKIBg-lw>MvWfy5k(fKOZasKk= z`W;08nS$8Nn4#htOoV%Rnfmq2o?vJPPM0@?)6;NA=sqV=ZbG!-BtyCV8?c5RCNGkF zJ_woHTa`ySE;UvjLKa7H8H3tx*3ss-R^-K=)rjs?WrECHC(gTAzLTF4t}h5FNFsz8 zqO?XJ7TCbQ$B!HBH=8LbUMfpJ4TEpWP_V1w=YKGz;(`O(CjWft_1P_^y|yK;Amx48 z(@>9&ZVe4in(t!;junpn1V4cbjFKY~PiZ~tUfHFSZOzc&uz!0l#?aX)>lES}hRu22 z|L`+F$>04<$g+;&=$|2GA`XqD_@fnSGAW8{2)*YNA76%A+rMfK*CKlp?9h@58JuXi z?>qKN}#Wa3H>Q800~*8MiPA916I8;M@%+8l&O?sD|Y(?vM2SbrkJ&lo0BBVPty8K{b?E2 z9+siac$fXn^~`)-njUk^YhI4ZHc#D2s#TzO@p>P7eNhurxhg zC5JU~W?cl`dh+J5%OE2PieeRvi~R>Yh|kBL8)8Ebd?E9N8D}HHTifHLThujWeC5}| zIn7s<^vI2y^INL#=(DP)OY>J_w4HVh{(Dq zQBhG^P>?FHpn!A`5fN#kASGm%qO^ci2@rxJ(xi(h2$9}FkY18i34zdSAfXANhR~Bh zLXtQ8d#>lXuJ=DUbI+W)&zU*j&$NQ#5o{Y|Ga8oF2HDl5EsBi$jW2?o%*G!(V{F0W zgk5F#R`dAUz$w^Gqd{3$o8wTV7XpfE7+k#zseU9%47A=0Xr0^`0`9g)pt1S%S-nY8 zOTz%U`+(m{$p&0~_f@hgXw14?BkpNR7XAYS4Iyk*^5k9hanqWUN3}PNBjQq= zHUYvOK_9Dby=t{3;872}Z|+haP-eSnQwyQ1jUNMY)s1$Iv~jyy$Pjr;Ld7=PeXEa9 z09g&Ue%}I0_N-ZAo?{MQQvs7dP@AwFWmOSG%dr&Y3QlntwO7^gv6)j#aO~9Zs8&JK zEwoEGXs*vpK5r0n4@geL}g;RqPn4x}i#SYwmEdt9-t;6C_Q+ zGmt~(H-*G_D4?xoD_d6FaHu{rrSuex+soOt z)zp`B4N6R6gvce-mz0h>isF`@i2Vi--7B%r3*4AA`k&RiL-Eeop}$)HBR0N$Gk%Om z(QU(a_8%x!Ce~z#QGmT_YE9eh8YD*x?~dIMUJBG~Ss_3t8uMi$DYYd`v0yq|)$jwZ z!m)dDF-zY=es<9KYIM!#$&^|(k@u2CjhE4sCek5N_UN~0_ywnq%M)siPiL>#c`8b7 zvu!cnyCFoC)@0f0{~EP5rS(&m<%Ogch?!>cbeWC<%|zRh!?s#AuIsEu!sa=)St(Jp zlD3=iSzEeB(B$GeIdYTr&9O!D)F91q#-vnD07R8nh~{|!A|Hvgem&#R!`XC-Z~o{WM3p{lRx>Es#~N@hg4dySv2n)4(=imL)7AcWFk^p za>4tJe!ff0@!ePNtyMB*KzW1Ko#6hZDE>0+3>&uJ`sRwG;w z_RXMv9uP^iHB!hgTtCzH5l*eNu?ADI6;179EYfu1cRND#SK2NRJb_;>r(if@XS%b~ z3bI2HAA%H08AwdYO{qMCV&ftj$B^Ai+s5uT?HuV{Y2SwzdRdLmiZ+BW_R!uc9A&aB zO&@RSfuS1+-7PhRhoDG1J&yj5+3`4Xu$TN{GJIv2sXva{`P3nniA$v3D$ShItUY#` zz>|kC`$Vk(Er|kV1YTbTh4|a#O4Zl-J zGUjmd+?_9uaR!|*4-3NZa~zeMNc5rbE!w3qUlGpsa-r-u+B)I>+g;I>dh-{{^Mct1k9o41>LN!N0a)^YBM(rZQ3|t}tw4 z=>P$T()|#O?RCQZ5ustXUH<`sv5$IS3B{gQ zz|;A@sawg=y%yi(`ZR^l@(PwbPw>&_{;TR^pDLHkepY(a8CBU&?t-}DRXDt*myd9} z1pz5TkbBBijoYSJLQJWUqkk*oT%$6u`5fy?Sy;t>(SNOco!wNr^`KXwzS{~t+u)|4 z>Ga?Ao^K-#_Lg&(mf2V$=em(BDZl@WpEA1$6*XEep!OZO<9{1JWE6)%*qp~lBKKvo z+LK*KR{&(AJ0Xe|?=>5gk+02elCuWwK;cdaHns6HCL|kgN_o>0{D%<@g3P_s=vrO>sc^lfbSr*a<;9r-{g$q`y1 zh#@gbtAZ`|ROB;yDoR6>^BWi62Cer&)5qE@`_z{GTP&O#Y<-rqu2d(LIg=e}+iL-G z?xR>fMtV6+SKa-4(*R}WJ_S3xADj=HB(3oPj_)vcV)bt>F9#O|6INYI8E;wnayQ?Yo2(Hn1`91Of!t*f-m5q&Zz@dTBj z54PcG>(70iR8mKa)04|fvhylBC09zp7-#}HVzssUgZI}CDgYrU=dW{gkuG~=8T#0P zHC|eJiM@j;IjCAK-i;P8?Zcv;_A-;!V_hb~Z&ybgn0Ou&*p_&DrgF)_LbNBLBz)`{ zVg7-Nxoc*a(+0A|$sLOug|qdEsYcjW$MPJ7{xZ%ev-1A2WVy2tg;feZcslRdd0$_z z8MfHuzFxM=92;w@eW2eCc^Wo)hz&AOBIKoDe)WZvF!uCVR zovBzQyVHF?>_$A=Bbmzq=kpE(-yt9WP1#Uemow2*)1{P~6hDPJEz4GD$58Nl)X8ec zF^-Dn%hoaL)fi`r!OL~KM9ijts8b1*tb}ek*yU?RL z%(pO%!`H#RxLMl8d{yT)V|1>6u+ndHe)lvi!6DLXi(v8^HY;$@mfwN-(lRry)FeG66!>ud~a9J zEZuit$Kg6t?$|0Kj#(k|8JUULqDQ{&(FkxoxwTXJ*35lx^wox5N(VNcP` z{~<`5C+Cu(nWI|BSsJQ!#v8HvxIHs*>2q=#-1g~BP8-d{>GJ-?cBILKe%!;O>3{C! zAg`3xw3C|qNG@fy)^$&Y>N>U(As3AzoMtSJ#jERCoaPG{@u5J6xuiKU7T(YYYVNL7 z(Qz)7;oPJ3UD0)SX6IiNGld_!yo>DUpI~kW(5`vuYizRx%R%o~A zDp}U$ZtFB>PL(Kk$5TMfz+ae3pczH9kA$4MuhNAaQK?fo8yF^4Od zluv|>H)$#tG247@)N-0;Xof!9d3)Y;-1fhW#`)F_$;%mXsQre}W!hv1b=#nz0VDqq z7wU^6CwdYvGY@ATqqe}JV4{|TWfOpt!Ct}EuDlQ9fDck+^;yT;^UIyH=*r!|#B}Qa zmP~~zH9EEi>9b$04*&nNSP%rel6pmE5_g?>MbBADVfBmMdb<5tP#@C_e#5+73 z&qm}|J|fip2a|GNu}EQ|14oBCS@R{AQo_c2oAeH>@Soul!`_um#@8B|W5Aiu zzDzQ%>_%o-zzv;4z$#%P^p;siBSvXak^!lgMRTNSTlFl>7pib zKuY*uo)a5#sHa!D5+UBufo8+^B|4e*$(-gWSW4b&_i4#CtD3TB++Z_r{smmb$0*`A z5ejA8Xh6%Y+m;gL^BChTdsh}eopP`@UkOlbtRxAhQ$!uTfr>nyU966{_ zCcPCEsa>n~`=AiWmSwK77-p?tAv#LOyBdkD8`|vv^?B!fS`Finzu90ai)XmL;Nh=# zxFne0>Y1Pu*}mCdr2hQl4e{%n0@**it;es9tGJx#s`{FI#q^=o>H8P0(j+cO$v${z zaeG*EPLxfl!f)#ZTg;nT1+6ex+mM6`ht|=W&R4U6$&Z!zWce?(pRVUobar0DF9)To z3uHDzCr6_;xq73%SU8JBOXOjtg6e=rB=%VLTxfPRSoHc3zw3)5@t5nZli|~?#RD_3 z0Un3Fghb27ibZ^0g!>?}AV^v7>nelCpd|9(q_@st(qzN0Ia>`^1reV;sNeBD0|fZB z&P3g0T%vdN(C#}uZ?82f$tC4%4cL=PL*d_nXFYWH5dt|~HCMP=@tfy`j)vVGA4)qtp!MBws|Hv{BcZd?lmo-nS;kP;!se4=2>g|4SgWK7qBH<8IquOdJ zl`?)7KlS5O&T26fs`#SNA?I@{oS0?T4DUtn`4Ul8sn2nK2%nN<>5y2k0qB zZ5oW}=5A)>!I-7ca{ywY^b|I$qj%D$UJ}0LJ+?B~XuX7SoToS1Hm`|Swr@Z8KJ2rc z(F?qFR2~yr{>U*dDfqMa{fpXiev-6P!m-a@pr4g9!_t6ldXdY|5}bz*0xtXwU`8aL z9_8sN(t;*5UwDz7I6mQ*Zs&6i6QQu3bpbo|-QPkzqh^z9mpAAlk3^|6e>Gn!VE_lO zRtg@7S%9KO>{`FLT(<1N0i$YFt#YnQ`=xh3(cuCIKoKfJM_qT2F;161P<5A?l5zL% ze$;|pgIe_sF&u)H7oU=r_a%>HVx`3<&{^gqQYLx(nE{#xnp)#&1m1cca!f7z&$B%O zsb_lDiH$0MES5jIE5sm{nPi6tfPaU`RzpiC z>&=y*(`Q?su_q#*yl}Sbz1$`>T|03j1br@es8Pf2I#4Slz1v2;hj$~BslQvc8nDsc z)i(+MopRDmKYvtuRGwD|BG2fvnNgpjBU*GHOi^9Kp<8dGq{%5d&eb)JVlGn^~kEA$mv3sux zf{Med^EMU@Gm1PY5k$R1Rnc zh_r%|N_~iJ<7!)r)|Sf~pU{Ftjt{`Y`G`E+xImQB0|q!4c)|_bK-tDg)jS>7h-B4n zn)$;NT+Vd9snJQ%UtQgE^60HAUY#lvQkAI5xoY0j8@;U=RO}>RbvdBjAmpp(BX`7y zTE6OFpK(s!ijuPFLX7l!yPo@+Nh^1j&QFBx71=>}wBnzAUEVe1>yg8CMsHw?bDHg% zysznUap-2c=#Sm!iTR+W{=bBHftivNEbhL$gW4}Ei-7PZOW z7||FVZ6^=_XSb7l*i1m2;?jCaFF37WmKiO@PM-(-@`J$*Q2hNMDg~gNFQ6hRB5&$n@xIhtSlq>u_ z$p=_HMVGQ<8MLAv^icWO8h{X(=7-VFhwy{zV`b4+z4C1#w>2~f_3ma6CY|D|06Dp5 zD2~fp)UvMoth9N2{|+lZqhVUS%_gT4$_}2K`LHPZXN31Cg_hI^oYxy{3r| zVel-3CWZ=L2QHY@^)?4^i9IN3`r<09b-OV`HBzpU*`UH2^*@jj3Ea@Aj+_(~@!0!R zHFRntOp-QfGJXA@%;2BS%jHN+wn%t{2>IJ7QbWmHaMN!Mc>N_IwhF!^5}g$h{=~g1 zp;BFMJz?;Nvc{A2k(MsjLc`k)XwQIl_>Z_BTH46KDlvjecP$~9O8ThIunBCht^w}E zF(8jXh2-fmFU~O-Z_6}S5BNIg0IKa3&h?&riu2nS2_qk;Rg!C@aWCOjm#Ew>=WqLc z{neapFjEh~2vqf_ddXa|hJlsAIu${g`_ni2+uEyWy_l-q1j}c? z5{{nko>NfgqTTejd@}Q*OE*Pw3+Qx;y~kgKVfEcXf6_8t;yL>@whGT)tbte8{+T*q z7J)r1uF@N)81So=5kA~yGu!k2w?y1d*U6ixB1|V{} zZlj|&Z%>|2+N%4yZR$$&WPzJEj3@N)x5(R`{0#ZP8{Fdc2Gl3g>$S}`j0_m|?woYv z`EmT?qgJIW~?=3(|bU+d_OT`tN`u=AJ zI$g3cX=+W|<>Aoba(isQbbV*1?uhzYQP5Q0F^^j+?_Ra4DG3qMbISkpn%$(n=B_QC zd#|4ULsIPV{aq_*6X)>4ZaZ}kzMx(S0H*|-F;J9qd}6)#V<l8B_P7_ zPh9r}t8|MK;I)1|*57zM&h3vHR(zO7MElh|&mf zy6*J#p}x_9w3HY(HjDwUH?%iE)w2}#DlNTjL72JCl~<5O=HB3{{dLFaaq)8Bwx-Jn~)@`1*t-^Yx@Bb!fgg&60{rh zQb!|So}T#-7~UFDV`AT?sh`#B8f9yEqhw~@Dz(O^?$mXQ(qjFE@FoiQ^Vpls2bQpk zD_%>6;E2bqr$BGpj@LEs(VW*o)7{=rwfbE%_tpQHii1UwJoB4J+WCflkCcS6S2crz z_Bv1eYjn9M4_n0Uq=4l zV?Sz%T=k>9eNd5;jpnLEwh5K}gzIrn63N*P4}`h-`|Fn5UqOMS>A{ z{Ty)N`ar&N?8kcJ&pEKKzvg?^!GQEOGhTgxAb$9s7++BgT;`;%epjZb0dU6?ggba# zz%zYul;<;H|4tnD+E4P0=4C+M$I#txCGeP(`bY2Q1n}pMBr=`|*=-i9V>JML31EK{ z@I}~S%;A9s%rpSqlRpC9P;eK;a&uzZvrqu|X}2!Ll5gK&opRWj_vudFx1la;_C1iuTwc0nS34e>K$W%1@A zYm5>{8}Ct*5^PGJl}RbO-K$TI($rTKMhN%)POg7indBi)|Ch2;tezS8woT?p$`Co8W!=*hSpnUKWeAwcb>2qY-b(4#?nJTp4mNfVW;faDtp_Tj`!r zUQ6fRzT=T(E{1!tWI_exl)NW5Yiu=l>+M!7tCtk3YJ9t<9hGCTC?hbkEZ8-5Q41qlC-O95s`Z=zpCbUDv~~Xr`rh)uQp#yrbiGpE{?{Q zgb>N+nMd2~!B;tWjlkQj)$7b8>Rgj4wJq77YGu|8^XmVzy(-u|A~Vo#_A7Z5=Y@Et z-D?5T7?B33<3R(uA?s`E+OG~A7?WiaA?9ZEqU{DGXCx)VO}pVmRZ_*i$koYgNxYrT zU)*b94|w`tq^^Xx>)6}Wv4vDHEO6E9E0Q?7t6JXb^dVCDY_9-?ML%zg8ql+a|NLyr zu5Y%VeeOtDC^MZL)){5q?k(6m`s)MR3a$DudpBFLUw-e5fq$v6An+MiE3|t ziyl}OY$&`>_|i%!3JJaWK814{gN(KWpz{5NQf;&i+GwWUPYxU$M|*7!cRJvUE7bnq zh^9+9TbteT`*I~OPd959Ok}TYx-mf=+gy z_c(?^r|sS=_7IHHx8c4_*Fsh0;Y{)eQrM?%!=T>i4yAdh&O>wab(*OuRCIhq@^qNt z*QQ&mpKH0Y4+6Cd^w|`I+lPQ2<KsF~v z7YzlyDBQd8D;L(;G3JI46O;d0oDos>zJqi8fz((3-#{#f?_bn&y03L2=-+Ic!L~|K z3EPMsz+v+yyKA#`EuHTOmK7msR!}uQetcpQKH?|pa02W57xsPge>PMC_e16Q6SzGf zD-ltOhI^yEft#dZA^jt64~JXj^ACm}-z?7^zX3=c$>#AAIp}bz%Wx^_bl{N^PzdEV zFJOm#r_@?rrU%GV|gShC3WUcpM{ibZ5TS}V9OjP1T-8~9i&4v&MuaEz1q#Nuj z#rphNPR`DXxAivDf-NqEd_w{K~TinV11{Kkkh#am#&k#f4V z`!Z249U+A|^y;VsqI&Hrp>cOQU%nIhaD-a}wYUA>_z4Yg@X> zBnod~4~c{2F>b%Q3gvdI>(do95YOpZo8y)}#RaNc>A|@R?|*ob@`X81=GZ*nxcf5; z=F!t56x_?RHa-E^kX(bdPA0GX5&U>dke>LREz>@A;zMz4@g_c}ZnB(aD4|V5!xgp|l|Wbaxf`b(vaJc=GJk^*@GR`=lEc z!X#+d^rO60buLizGkDgCZJPJ8blRXIJ!#hj0!D5C_S*jEvx7HV?8HbLf}Db_$LJ6_ zt|qd7DO1VnjDi13gapdqfA0D&y<>>owj+Y6`RkxYw*dX&@=D;i`WjSoy1cvL`=>P|z{LKn0*=Hr==xx>JieK zw+GJmx;pMg39(uFv!otA)h@%lL-st~E}0p@#C7v?mbkq8c!()sB$lgzIOg;NufRwWz#Xd|EM$xiji!OnA2F6k>WkMN*T$Meq2QY9 zR>bJ3+-|1SN~Xy)q5k}UAmXr-*&^l>o4DQZ&NL@8AX4|Hdxb~do0anL-_cEb8L^q< z-`B;2{8zab%`;?oCqf!!f)eiKHlQzmXXani?crT$J)89>W4sa>c}M;I&wQiUSHqGf z;;60#_M%n!T6^g9GF0^E?vVQ!4#;qmCGxtp?7TVtd#EvYPJ}Ox&i^;s#_{rAsJHts z^@g~_x`TR|&^klR>%ccI@4vj3izpl91?6~(e;2&_5k3MmhNs{9ruDB)|9RJZBLr{m z$$|5G!$!*Jw3HO$UB17PCDbEc2q7oLxwYanGuIbQ_;POO?&n{*WEX$ew(g_WiQ|IY zUq6q^bH&Ry4F<8Ve_FivHa{awx}c_)wt6k)=rZit)bpy78&mnf1I7>T<(T<;;GbIi z&)`=KpozMU5Jq(OG(s8Vt{@cht|N%MEyDyiolg+J>wPErI8{#fj3`d(_*R|0ozeuJ zM-C36LY@XVjwK&_b@sW=3t&jz&lY0=mwaY*N#qpxBO&X?(oMS*#qv5;`RF*QZ>cte52Rw9Pi=OZ0U8je?Ex4*RLxy!#CnESLZFKaJ9Em zN#A>@RnkLH@7t?&lUCwI<fH%gMF)MzH^L5HdoHMQXd-`rKnBP?&%ejkJ;qt-wt+6Ts5bVs+Q(3KCI6g z1cO-LJ7Y<*Rw5@46CBB01?Hdry2jc&^WgFhoO(WzmYntCNXAv2T;BZZ)uVcIy2z$o zA%64YiiM-vFl0bUyS4U5^184qBd8f)Xg(X#zAs)us&7o%A_Ox!!y}}hec!%TNIwPf z1%D^cYhyz;J?lj7H%w1dlOW8$ckd3b$^-5hz#hHtcSrx3tBK+;4CEvAhU~qyf-V52 zL;nhdO-rH=!+q5M$)3)uRVPsY_P(N~?gCfu@R>mP*si7**d{49&x}%M0xjErzZ1dE zpA;&wMELTF1*HzqyfM|yb6&HvppfYlr3ZkInAmlSe&+S11^ADzc<90pDsVf}Zzu2Ut9jTf>#z_VV5^CE+x$mGSjBrwfclXh zw}&9)+Kc4O@DdGU*VJaU*lvRWBSTiNT8g3bsd^(}FXk%J8+Kiv$b|3iU0L84tBJ<* zal7(1yh|H#;DI8F0&b{NL`+pm^(=PfW6Vo=CIa)UTG{h0`s1+=TY>0noe{vaoBM4c zaBip*b~#H`r8n!CSXYL+p)Bz$wCtt?CipkniA@}r6XXw0$16OD)!Du^5y;eezMeV` z>{*Wq5RWE4EuGKsP3PuJiYKzr40tO`qpAFgOQeu`lv@UB19@^M-_%$3-xMLwJl9y& z2kNm~OZY29lQK%Y&QOL(HQQzOM5EYMT{h41o>{VwPL^ha%=pLG#71~a<|rT}(@n4} zZ~rZxGQ{ErlhZ7ARP_^#!j5#(eH_>g+5>*C)nAW0Z~jy1;>Z9cM7MsK)9z`aJMNuO z{Z$R$8q0<;?IQb{RQ=qeIhE*vqYsz(gOdRNSyH6-37>^ek0{F{t*Z3t$${B>xfluP zghF7^Xp<8-A|NTpxnuRe4Kx5bv1YKu=b=pASh5j8i+@_Xlyij4+V)G&M9m0A0n7u8 zxRF8beD|iAr~Of8XOMt>OaNEq@c&Fyqy|w##DW%HtT9nI_c4v(sHs&_1xDUa!F{dK zT>`p(!mX^ZRw~DUGlX)y1|BNqqaa;8ld_mPH%x*rF?ospa#>((_I5(FPRcUSo;}RY zWuO`;k>{p6h6=UlP?Ld(ah7D?z^>Dd(QlKxOOlfvT`u}YI z(bduOVpeu%5=>I7j+c>K5gzFxf9_c-X-g>cOkbPmme9XjZAlzsA&`xCn?8e21PA4@ zS%|d{mn@w_k{&y^8AJ}-rJH{Z8x(Y5l8#UdY2T_peMkpVyzyB^L$xoaWZgS!prFyj z7b0K1|2j}rK7O1`gCAlMDfQ1dwO!6DBcAnCh36v^7^0Kp-lt-tQOaMl%2M-K_mqHY z;Dy@~`q&$G;jlq6_e3!#^$i-6O+=PDi%ewQ*ey z&GD;qA7|5X;hW6TPRvKWj7XM6T}I{2FRb`mn`*T%nCL}BaJNi!GebOlng-u7@`gap zevaW6nv#=2T%o#|`15QW>0FoF!XNQ2aF6uV-5_Ldk1xlzZFZEA;5n^honKD8%jYgi z7QA{x=&S_46px#XUzCT*TvN}fj=|t_^HPs?tGKEYoQW`R+;lEx`)@)XJV)(0m~!(f z_J-p3U!6WQqvq+2p-%P1Q8N(eS^Q`Iz>Z@I|7D5i!8hYiD+n(rj@1V+%`fl2X3eFNwtIz4z_6^y6Qa*B>;I#>Wfni6`POxET8ok7R

E2De(Mgr>?lX)nSwOdr+MALiwD7Fdt-aTq~z#^?~>2SuYydPZ+~)hOl;5?d3WdwOJsaPtELFX(brI9VTIe$Tn*O%0B^9*@3xkmU|KjR~ z;I%2UMI(4ShH*1)wS$H!QY1kzzZ|N9?Mp#{#m$a^7UYl*u+{zRC{vzs&kGAtKFiok zO}@;wG7RM%WxM`;(m{FR$IYV1L_PUXTx8HcQ;LuDW$1hxRhAIfX`Z|_bRQ(O|> z(*Ol$K=l6lxdqv32#!AV*Y(?5`w^y{&nbCNsNid^G!91M+w{a@+x3rtnQqBoFT7p1eYHdId07doLVDgC&f|}*Y3o%dJKK&| z_;;N*nR>&^zxg{Bs3d#(P@D74t?K*tTlCy$FrM;@ALZDT+xE3?EbmdSll$)LZkyZH zuBofpLz=^Nr*A=iM{YN7eN<8U1PbDRxuYHSDH?3W{y~1I|25=hp!1BQ+ikbLx|dqI z=Tt5&7zUYOLAh4T{+9uo}Sdi=^{Vem71Q>Pu1O6`)TJ> zU~0PyKxcsr>>(E{_rmH<17)2@_FDEu+k#FW^;6u;^j;Io0CtzX2s!&jMgo`YlVUhq zy0v37J<8=&fusWTD>4m{@6yNQo_-8prk1TT^r;3rOnobO`be+8QPEcYb@as3^w(0qI{U~Fln!{(Lg`<@IwhJt3f=ui_Nl^?~JFibRP(punse$Cs zuk}7zY24(&dS!&Bm-Z)492TC=LL(O|leC8>EH#O@aAVJUWl}{s>FSNksn)X+Vk4== z+fo0=s)u$eJR@lnKQ0>ZX&zmbZ<+xJ8V%_xG#^dimxLGY=vE}UAGjiww+5k9_cX}qTmp2_eN8l-o8^2 zUqg-imIedYM$Zp(w{nW~MMK#q#)~<(pHJGHi7g$r8*%qHh54r+3j{zZF+rDZo$I8w z6(iGt(_HEQ&oh8_wsxvma*fmNJ%@RNgWo|Dmor}nJ=l37eK~YP23-=8YKL*uEsfeN z(%nPcU#o@!V^ zZ3P4!Y~S%knGscwm&zl`B?3~dBZxad2@Ozdd_GC4C&sNoS2DIBk~J0Du#N!e>v{{%Jq*`XD_e!O}n}OkgB-?5X3E zQ=`|Ifh7H-4`))vD6tXo(z!D-nnCG4@%II4I$0%alwSh65^e$7>7{=9L|FTJNzSy0 zrOsSln3rj}GAI5-8kleRm6PT#=pBFKfe7LlgP zjl`e*R;l@zppNDVU~{!b=qxCxk4W+R-9c`i_+LzBojo+zz1(oyK#Er~uH0@K6yqwzWR?LBRwLq>qsy|baAM63$4_+KM zcxXYMbc@gWjpRDPi`wj}f`>vc2|+CDuHFGtK+g5;%Ey*d&8YBvkpF~Q2zmlHr3q#? zbuQ`8xn`7FR42r$#*PvzTr1B#(3A~2VSzJjYQDaq^&zqD5Bs6cew667?csdC0x6NF zvCgbomodH(zIaY~`tfk5Wr9fb1!L`#bU87BwlDh+bIx3^KT|{lLPfD!2o^x(p&BHM z8JfSL5_8rh%>H%gZ%J=$h}7g7n3gMWkghMVk#FqNb?HwflZcqwH9+mYvdb&0l%pj8 zK*DXL@C&VYY+`H2(n2hpw{u+K`1NR>i>%MbwwUA<_YNnj&haJ9j#O(l19hNQb4fpc zsmW-v?}lQ=kG$j8>8q_+`bFj2y%)S|nvWu*o7R(&c{B3_uordLh>uLkXj{}!&Ni8_ zw^{ls7V>GDIPx4AVVv6u1An)n(bN{1`oowX)kD9wB1P8L8eda=Z?O!10ej|O_DI(_ z`Vo9={geqMKd9mMsLuVQS)@h3u;YeLWpsZ@zd0;s`@AckkC9_(^$W2(kZs*?*e$t5 zyUjewK6**~?tTGsEW6fs*v(xzthBDz=y&-x#XPfr9YnyYy zRAB;?y`%%rBnK?0!2c(YlQ#rVkPBI-3=~KijSR zSHPDfT?%3HFN;{09w_4Mfj#(@Wf4mcfvU668C;OrxirMN>Pu(_vw@MJFJnwP^O0l1 zIbl9~W-|D$&XTT<6Zqy}*MeugzquPhDwSsqZaYT?e6t-@{cKy=j0;Kro)w%_4}S0S zy*(#lVDv;p%anD*X!G}p$dR_W8V~yy-Xc1_t4p}77~QAyuC5(oGR-O9Kl7N^)pWEr z4bnF&K2oT-6(#L|e!V?BQ0Ds?MR^Ac=!`4qrxy(JTn1ewjpkF+o(%2BH4bNrx|7+_ z=GC^%7=QJ@!u=|}eFTnHGmhc^z-8ZGy(P`6e>o4MHIkbMHD9yI9s7gSgE33OXt5dp z!yBw`>sA8eoFZtT#oow}05-k&3xR9V6ZAOi?Di#6UQ>o*s9Y>^$q5T7Kv@S&elMDN z;m$18bP$u#sP`OHWjBaJx#B~0ZnQomDH` z{%@u%cQL|2ZTOQ7bM62TmRN6YkJ~zK}qV_r#uqu)B}PO(~v>f>AY}x@tSc69zeh z?>($J2G#d+1B2GrhOvS$jrvTCN$DRflC}wvoKML5Jlp z)U7oCeiU+B{69-vvr^JTzC=PW9I8duMvc`GCZmQH^#;uBG1)PVp*B{ha8n~&DEt~S^=Z{; z21FvfptmHbSa5%oyfLhXTN)Nx0BcS4GUIFq{a%>r*BBe?hVmA%HyQBdYy}B3G5h5= zbTIXaOqQs75=hUNEBs-_s%HHtCm=oQc>{D06ACwhu|(71Cm%(7m_*h3{5`e}6<(8b z#MHPAdiC}jTHH2Dvv+3fxU$RsDtuY$kj<`R+tFgz>d(4a-k$zY6LeeIGnSa?t+Wvt z{WfJS=f%2mFwYa z|Crz@DAa&6WkYZifI`h#=&d(4G1YHDIG5GUB_P8n%NI&Smr1C-~b1&vBNakoMa5s|=)$=-t>i{0Xl+omrRqdyHFxQ(;gN|pO zD@pczl+fS10d*^Ly|v7=e#hPhvD>JHxW99JwFa`Y@4x-x#tl_WQdRfD>GNeQbzA-+ z%!#H29`s|gtpC1ydG2Ut@}wd;wId)@0{6pW%jEX-`D)wyIuhco*o2few`IF?0Q=<= zkDsOM2FYcZZRLe;)eC}Y8+Q(Mw+;m#>iwISz7Ykmdo=4dmdYG29jXr|P2ywqgB*6U zZbC-~wMaI*o{N&nceIFsuw(h;4*2Mo@_x%q+Vl&s_EP`QG<2Tz8b<2aCY0*$+iUNY zxmLKj87;$?SzyZ3A&Kor0m3m~-}i8xMg~YAvCvgf>gvJMp>O9?W^A514;wEDqG(^f zMMIcOeaBzK&o{(cRkIX_H1FBAuI3Yb$UDHeu>3i|>b9v&Z zXQjy}r)=O+9ZapMBE4Yj6V9kO4CbVlr`UQOU`oqRgfCjs!Qm(7mZiQs4iuim+@jCF z1#a(tGZ zCk);Vt#bzgXQrnI1hz0my91x)bY^YXckQIVmD+)+>JCMhRX}tYp#iRSI`C!QO!NN0AVOe%ar`p ziC{tI_9}Gid3`9gnHp5cn<~P=&N}qv`+fg$h)r@PeDg{Qu5l*ej*thK8^Pj6g#^fz zZzUsV)m<{4dzWc$`j%~fFFD2f`*p45*0=NKB*;D2oJMuOZy#4ElTQHE1Cw*i53}qM zhR@gU0ZWxE+xKtq={%8}!JWF-hK?r;9U}sYhEMAvP|9R6cXp$1$L#!!>uNH{ouoMH zrqQ;kG^-fmK#*#8zt;{@56Fc?teY0I^W5pQj_D=A>ZU8Nwi*i-Zw+H9GV8f zgdk10HOKOM4-!LMmOgcX-qpkN)Pa$yzDtp=(w?-dGIpU-vVgLucTyEl$eL6+Oh{#C z)m9lGJ1OtV!D^!9cRamXvgTIlGRSP|VUKWaIFFGBV(s|Jp31C>?H!HUUBA^%eHJ``F4iTdnui1HvCxr| zZbt6T9Oxiyk(Po&N#hMGKcDn$Qb%(qaP%; zg>}}$xu*DQFHX>V@}F_h>zX>wj-Uo@5Pf#yDaU1JbUkW#x{OMl*uIF`w;#+Upc48c z(#i^#(_JRMa1&d_dV7%gk33odzh>EH2vJRL2Q&~l+9_ehSTK|By%DGMdFCVbL@>ID zN-Rs_=lu44kF2#%Zg>?EKk#4|m%|oU)%Qb}E!`zVpeQR7aQy@cXb()eHmR@0=?!EC z0t;Tx2;A;;RdSYz2TyQ(Qpsp3#{GeLP$8rsT&={_a@qm<0K z+*21T)%o?uGD;?v8cEW}Ej zRh>y5Jw<<`MCor6NY%&M_ZgwBd4~x%aNHk$m!EN4im7Hx@s}x>@ICM?3wZ2#)trlq zWng;G@X40Z?Nq|+?oLHotnxHGw*eA(pbxqz8eE>bK zu;BpMiWwcdlFii57!wyoez7aqN#j8t^r(qTg(jF$D~~T8%dRrub=!#;wVO!ee(2PT z`Al;OO$mmVpw10+#T9O-uZe1X?Xy4wlPyjOppt+X3haF#@c;btwgY8isl}OXx?RN=9bF6D+h{-IjLNzxfKVF+yij~0wNFh=l6Y{-*Y_w!f|lCukqr2 zy{_v#&#ONIL#qunZx3^L??O229z{LbeQB&L_+^w9?@Z8#7*`mC=#%mN(io}|be|`w zllpZT;-Z4i{~)n_l<{9?{VxbAhliX{A}6+yNYLolu1lFasauw^K&EQScI8b}tBi|@)Crq^Z z11*3n?8{njm|;98n3g06X0?x-e@+3(KfBFAduGyR@-3ipfLQ}x0i?C~p zD{i2toH`;NvfVA~H7nm4<#<#OT0hpyB92nT95^pi->)lLz8Yvllb(mp(fa}Gjhh)> zBzSFP(?NKX*(Y84L`RrkCyY|%itGy8YZ2(C{WaDSHP=h}M!TD((*_A+7EjS=`j|EY zLEWdWDBAn|=l8~w?4;stD4qAkgb7a4Xb|;}SJTMz$P*t6qEE*CDLh(m^3>C#!JVl_ z0242X)$ujcQ3Q(!+4tCvdAcbCL<4Vt}Xo4eWb&3Ckz3d-Q+5MF^qy5lN;7MN| zzXw|+3Vj$|tZt;YZclm#lpC5>a`n1!PUZ01DgI+VnT@dUHJyiHjFOq^V3LO``9^82 z!{Nbg#GeSfjj=0&uoL|wGjMzgsIm1lg~BA4SAy-gbm^%F3%I7!pMXQH(#sCPU)I8# zx1V|Cm3*jsfUihhF;`sw_w>#&74^S3QP9me1uoRv?dr3k547R2Z~HV2C-Fx7p2@O~=|`hahpt|K7Drz+JZChf zd@clTZjfE0Gv-xNbbaDIzgAgp%MCk;gOG`Ta05>odOoj-mX#Nde{QdNJpU!coxF<0 z;4oEowQdzQSt~VYIFyJ>|Hm!8{2wuxc${ZmXK6`rzp~As7agPKjwl*m@+85vVWqXu z$!lFg%6GC&uAHH`-1(M%>|wFq%oY0#2~Qz47nF+$JG1irUxdfV4X!RmrpO1?z;HkXEnX`MF3Bg-AX&76a*$zs*4w}dQ@W& z@)_RY3IRyyeyWkxrM*$%pRx_hVAvPed)^NBR4$OVzNc-ei3yv0D8}B{d_2D{QCiY8 zlohh&O28M(S|V-VT4AxXh0a?eT4h z6R-UBMC`_63#asA&yr2|+J+f#G(4zL`rzET?L{u^u~cEm92mxbAjRG0cJlMYoTmC- z0+cAa&W2lfL}fkKMy@|VG|IDkuizNxH~B|lmB%CfX$ zT?!y*W4iLgi{eROqR#~xRQcc%zb~Fl@|g(^he%P60xx7>SW*~UceXcp3S=8 zaP3FzU-t%M#qVu+i8w`K81F~!l6tjsn2T$^vxJ)3lZY+E!FET-Cac`K>M}5BxhLI~ zi!ZGn$Tucw;WtHYcxJ?1RQwO zW=2EB*OsM=G*$yb9m1@BN+_650sCp1O9;7^zY1S6=nP2L9~SRW|R7 zi^C`lPbcD6f@8a=5&WLfcggVakd@`cV$Jd!V-T-YAPC-Nz2MjmNr$kLfE(+#@p2 zWY#B;S3vi!F)(&0&9`~^#bJD%0oX!Yicow;3MM%wv&-x+$>3C9WLMsDfRBCIW^UKb z9nK^R>Lbcesq(%!e{FyDw2~d-0-7mXD?hWawfmUYMQSt=wU+WoHVqZP5&qMr^$PS3 z+0oK9|0Ts@lA$#p@Lv4WirMmusha@rF*Dtl$CLVe2Nvh8NAW|$LR09QfH6ILpBmgT z?kWDyhLoY@rgm_5MNv+)a^?x8)dd>C7b-cLe{x0fhc56-A;4|z>h{-;ry940e9OD^ zsEvK@s^>E=T0qZP`P(?3Yo5sa&k|?Xc`A4}|BG}o*+R(9Nx3hYTrRmH!zo1p zwH18-760-<-1jfH%xJ!B+if}6{5^^6(Bu|l^r-#HgAZ)=n&H?b1}+ zgF3ahF%cP%Wfx8VODltYFBT-}_nGnuR7;SzGphhh&m_58hE&W~LbSQ5G7X%#=!%T^cyX7|r-rQyAQLn4Hxzcn}${Oo_;@ zHLLr7f)a7?x*(Zp)VyFtMKPFx@6vWt&C=?9l9*?~Nx}|VuNQW0{TK-ngH;#~s_ihl z-B2|_u<6jDm7UEYNNhr=`1L;qA1ab(_C!e)VMtT{lo8iF3-Hx|QoDnEMT$z`^m8u= zgTiejRDGM{`PT9C`SYr?j|{m$jgIe@0B2{jx(OwaX0&(zWBuZcc+G^yt_w)2OQF{# z0CZcO*5qBMwz=rwtAIY1h(L1C5^fy!3^>+TXgb(qtYUiTZNhB&K>K?U_o=BV+|$Ez zv{X!JuP1w`=b7MwdMB^ufsUmlUUF1(ZN+NBweJwCyF)ObG0)jw2zkOmY*t~|t7++T zim2K#A9bVk0b}rSJ8Gh1Vo!$b!9p>kPAa5;21?zK zFF@Jko#95>IvtOPK+gYF0ej#;#K8`IO(1=SeNK-U|0l{~oGvPAFx@;lEQq8%eZgms z)OA5|{j+4)wdx-W-yFZGa!A0Rt__P;F)s5DP%X=|Qe8nkNm>;SP|vWT1vcLyk4Q5A@`4@+h52wQa&hcQm9`1b1d zsn0kHkPv;D-ME1;{pyJT-Vv4WTS*mEkD!STdYPA|eAgO)@s%Q*(|k5QWA7#rb~7Gc0OMscnHU)?Db@b+fR4QjAX#d&swM2`9iZwp0)p|~cv^}A0lH9$br zi;8G1R(DOfv(WhczF4E}5!9Q^m5w}E{wWum2Y1#wDn3!Iwgf&^6k_j<^>sXxX58WX z<7DKHZ*qKzfoneh!4&29C`pVYo}G-_M&FMMnEHM>{f6g{r4MVhg(dv(wF0el+O7Dw z=8_>k#sa1mW#=BLOYJ(2TWk{ZXa!6S)NZHaAerE;onm&8Bdx$*%nkGm;q?NyyP!qN zbNW$qg&wT=3(R9wx1zCGG~gdVbwbj}vJG~q{^uXcs%l^#syjFkT)kjpMte>v-DS z4u%U2>WJXRA~?Njpg4>~EL*K823xxU{2{Vp>AKg2<~KU;w(?@=f#QcW`bVn2_52ro zu_mgCyNAnPe5IASq|c%g9=GQC+&yhKzxF&ypU7zE{!D3I?vyB58$N|pT+gBxr4Kb` zKk6mreSC3F4TkTJpkUs1bjmOOuF8&9iSPv5@ z27sKiI&CLuG$40XsMJs@2=WgbA@0g%WjXraT~&N|^qS(J*yzt(vRAFOt{I%RK7K|Z ztjIj`Wjyrod(*+9N<3iN7!)kSy^z@c+Z!qP@w$5&7Y6y$vw@;+Gkc=}?ck%oB3&Fc zcRPI$TwtgjdU6;X%z9YdxRww<5mT3n*Sb(N6a2O2fa*#d9`yu3K;!@oqUGbdH(e7adz*mLO%^IStab8Dlkc;i}7o#jMr(N{GDM`{Cw;OM1Z0gk`mq zH-3T-_IxdSkqLmkA*x)N?3OJVtOpq6e`3rqgG)Aii(Kg2e8JALP<0dtp>)5@3A$y* z6vLnrIzA8Sdq!d>6y6noyaY?KEwrCf-d|D0)%84K4V$W>nm+WtLMk)+xzuraO={Hs zYFO=A#D=kpPmf_+CM&_yKJ8Ql)`L*wobpEzvdXidK*qnjvHv-CRZjqv&>R}x=*6Sy z!)@(T7d9QZJLj%2&VnHRRP@!CkWQEh<0F4L+_g8q5tU6y!PVFVR62 zkA*ugT4ZB$--8yS~w61a4*nBzvn`47M2>#*SUIgTD@9j{^=rfh-45)a2H|49c zMAweM%iyFweO+eB{=7i~i#Is*!b4|5@*Qkqt(0?&F23t>NL%wsi7(*XMK-U4T3w@L z`hWlMbtmuLQMP6dWmshDs0a`i)ZJZPy1dB%`iP~BSnBJvT?tNFc>4{&)z101@rv$) z>CF~u-3mh-4Gk|}7zWRoS>k-43dtR|SBR22tGugAF5^50*=jQ%6EKRMa?fnG-(>X} z{AiK}W5?b(jCBCR`CHL~TcM+Pzd>-xZz9$W&1_Vge(iA^Y;u_nIG?{3uIAUHInt@PxTe0S?i)OE ztc~|}NaD|V#dH{QlSLW9=nPMgCf=r4{oXOn`#rna7v_yT09HV@6(#o9RhhVJxkQNn zgEjgvuuETs_-5f2XS5s@HrlxJ74iQw<+R*ONH;f?cBoB^C7ZEjyx#{(J=tt-i%cVV z)@&l_Hn^uh4+d3yy>@$Qs{`@NP&lT^UNp*$K8>hF?zL>j!}_}TgJ#M2nGX`8#q1Vqu z#c1yH5p)A*2AX%91Snkmh5Q$>NQ`vzT32>!gbT3dZrG0ciKMSeW-!fr*?QgZpXfWv zDukjv{jyMHz(f9&T)~<{#-68=kh1O5sAfmb9~48;As)84L+$;O7zM^|hApGkZ{Qh^ zhP@gYK%3ftG6}@*TqY`x5ZguPL&}@D*pYL{5>KV34P9 zSJ2WmS*`QnO1bAX=gzpj#Dt%O?nAtP-6G33e=zskD~ONS>F<_eU3KlndWDi%+jF#H zw1eZWu#Qmk+-Wq-yG?n)`+~}mKoU|#d+v)>TSqgLmP=1V!HZxU3LOFBS1MI^G4HIm zzm`YNya|(nyL$*B_dymS6OW2%-ikh4kdpg z@rIi_i8&9bo;IUxB?+-;J<_^Gd2mB$A;b&`l4G^b)3@C`J#mZOXwq98Rk=^2;ILoA z!cy1X5522MRb?~!`@T!%3a*}6`3kiVbXg?C7Wkx^E31ey`U7ym^Jn|MJ}9;x8Kpi} zJT?p}6JGsmYou3P5Q@!_dz3&vyz27Ld9P7BoT8JJt=^5I;Sop;KbJ9G9`GQ|bGkRt zi`iI~U74+9_x*R=jkXA{%$cXVRFBHE{k{h2_DM>V7!buD5_*nY-JS*#tD=~=yMd~g z-r_XIBnG|{KZ}v($ytn;<)!vh#EHgf(Y5-yp&yY=b^+bFbfc3pZDs7Zi@th+Zygkp z4pKUk%SsxwLAE|(lABS0dgF0-?e;NrM>)1FZk28owBi-;DG&$4+97P#f2(#=R*Uw8 zBYq=+L4F@C;I%)C0@IO&@T(1-qbq_&WvXFYJaxSI_NK31SjyCZqw9MI&+anjP?CZ` z|L4!2;nX$1u@f>S+j+fOGD2%I5|Gr7|MY~!AN)1*?0v-RzwjZ4mI*=cmm8y%0`xde zM6Svg>bu4ScYWW_l|W!HiqY-RUX1vUC?KZkQ&3Y|OUmXPEEA3aV-vYw9Xgt22X~dT zdsL(YdQ^ID(9#>@a&RB6)UQR3M1>Bg^#xmR`3$o%#F`eoaGg`=@%m2fi7q9&Z z?jJaoVjT7&KfAF-l-1y|Re-VH#I?+N=@XSbtga*6n^uS)WVw@U0IU++Z$C~fv@ z!m+T9mt0NM=ODnswQTv0gUdqbPO18&rBCI;GWubL(tRWml*WqM;&%6P|CZp zBnf9XvlIa^kLJqVp1aR%!d_ch2;BnIV8<@Ue~$@xAp5oHwI5;Eo4b0{iu34N0`SEb zv?Lc(j$PX^c+Ka7-0pPmD0akPG2EA)I8Mn!F{LiMpbvJ$+IYn`W#F=Wva3FwG*Ign(- zj-rhold$r~s?s1C=&R>@BzVtfW=9dEd98~(&vZTf_D6;*L$LZXuE6`OQd{-F;pP%y zmkp&SV0IO>MeOd0-QtEtbAgGO;t13)Dd`o5&OF-ZA?Pm)YI0Voo2n~MOzkKI<_{2D z8iLjDJc~Z+E*IR-oEhhokpD-W;0Y;@T^AVVxZKC?pjk(_WRUU`Z{&P$)?)!XY6%i& zb-2%HW?!Nb++}OPdu`S2lo=Yk5OEM=42;A2xy0KpP8w}sga*OD!BnNVWVaZ=e>ws^ z!p=S`f+;c%l@?9-@AN?xzr|o}2f`tK{P}9~D;Ts%#`XSMl{;S7iUnb9ETS!*%P zrI})#z59ou+>D9-G(%s^xzWL-lHq-551R{Beq6K{MRV)R?!h`)HICNnQUQ=qhM7>Roew+L0(kCO#?#R{ujaWXkntn3m>fT$^e!&(Pu zb$zH25OP7vrsic~&-BZ3iQxV2NR_D>TUN)u5pLcA=_h{8S5CuwP6ja--7#lDAQU`~ za^OG@JNrDA?E+#o{xu8DfFPEN=Ooh&y!4qzqS8B>cfPwR@+V-+0-7|)cx-%vk9OYi z9YxW)2~)te|F|7rmzlx82N~mim`Wls@fdY{U|{@N zN7LGuK|#|>Lc9+HBLQB?!6{FPrhk<_s=9dV!xw?AR3E3;&d2Y#;Irz=;(Q-6iYzx^ zsX0IMf9KFy$K-?R%zvUw-PZ3*k(wc)if3G>fnA?X4jmrZQKY;?1|C@3Zv55EEbypB zCugoTk5Mlnwmx#}I$yLdgfp-=7bD;#UV0jX9(&cPyUjXcYugU{cu`nNH1&XSDhACk zmT1jAXC$W`XD}IbM4Y)Ub zR7O*`k+0vFf2KUy#9YyFpeU_T?OWi^!gM%~p7dk*;nicX9df0kdtfBRDfn)#P#bcl%S zEJ8ZRY9(oIXnfF>SMtGD9&l>W0(AjtO)&m#NcwjxyEDpMO7Y9x#1jnhq{5!UtnQpz z3*X`<)Z|OCsc9zwnVEH!TDDnb$VL)J#@!Wf>`h=#v2h-D_^GCxmJRy}ICR4E-?C8a zk}`=$UII^kgKS1zW69AyNM_LWYW4Ag`~Yk)@kJE992*VLEuVQBuPjlG5b`Gh+#BF; zSgWX_QD)Xg)%39@BKsAF3YlBA&#eNt0kCNUSRkZ}H;b2YmQ_o@RN~{Y7hj;7} z>2G4#5a7XvXXAMlkPfeVmKyo*r91;c%2%7A&_DGHgXT{|W6v-8*}e0T@%U1jvYNE= zkq~>{W&O*YEa!c;=Ye9giQ#(qzQ69VEtA}qMtQg4{7m!wD}=N?84H@({oaV?v(2W# z*3?;#uP5cq(vE&7S`dpANJ+WM5{`dNf|C_k)98ogjd5ypFMos-s&t>nj)w?a%#>n$?w6cy<`;&_no3?_w z*RK_SKQG2r<(Uw?tBQulx><14E>Ioc%UDY-=)%WI&ahGX_}ZML<;6w#Bo^N(bb~fA z(e7-m6%#8X6M|QQgDMztNZeho{5WwFZ&lF7BuHYtqLcX4Cg2A1`X#EbXNz{;o_=F^ zO_6#UJV5k^(RxQ#tQDf-+CMMSsPP$d$VfY;GL<_k$oxD-TyjcZZ)z~d?E*hNla;8j z3H9H_pxEx|P*k&$?e~9xNL~j6B%3-)>O&p+vZgk}to&C567b~mhSJ*FQBd%{eyzih zx>xet`+y7c(#;e4y|#R!oB>o*mr-@u9?;h@jc@HUoLxQTaX9Nb-bDdcMespZZKNL- zv~QTFZ`a0ptpBnpEthS}670D513w3d0WZMMywh$gWhEAX1$*qHIzA>Yv-QpARJ5Uc zxq{dHTx{t|-0uu2G){g<8~BM)UNMfR6+lzTw%{Yl8VZseh0mUZ!g z$GTbSVI*khjl;nF)9x3cHhj%~@jw|_Le&0>yuS2(zB;AC+zpQDzCH|@YwN@9=}W5Q z$0L0PDy3O@FUq=vG(%Dz@z+VX1vjLaH3zVhH^vem< zDW&>C97g*#lYR}w%8dU~p{mp?v4wsqRK?Y>WW9DR?BJR zYN39EQFc-nHNJT?f(CDUi=tXhzeRbli)nJEkSOODRb5HwyGfE-qbBXvIxCHPZ`vX6 zRLbrrka%{aAkC>ciQh52DGcfB1G`!*fdt)yr_xzhXAzm=poB1Uz`E5D<_q>!%vlLU zN~LU5Xm+?!@2slNx5%#8kz4t|);{WW`XKA=ntI~D&YO%f)M0$n6Sl4KwYDR1SVqKuj2sp=9tl=FNH`g1xt+GRj}sAtX;j;q5DW zXS}WiB;b5b1-IImUH;RHM2JK2e+7GqApUk zg+9Hqo{Zl4`w}2zzJ?D1YvFFC{y-#TFnJOW=LCw@^E~ksAcQG73tFEI@I^|3j%)3# zsf=IJH-ndy=EvwDVKdmv31-^>?gKAqRvdqK*QHajyyb(&L>QYSCM^-RpsJs&`pJ{bs>$x zn;e}e^M7r#Tf!2h)BBPWb~C>J+lQnLJvuHq&xzgH?!fmJ-OavVn7tuyfzp@uK7D6x zZLNB@+23=le(Uw7QD$JXOGbG%Iq@hpHevrouc{X}?FbgcT#Ok>F&-iVM7q!g91cF) z9nP0f-imouiFq{-DRVmeDEVNPpGcoD1XU#AJFM8qS(~${=GN;9^9iTI!IGj>X=E1r z06jWR#W%E-H*FN{^wa+x1(iIDVbFFRY~71db60a&<$+m_Jw4LvS6#!D*FqnpWMr@0 zp@eR5H&YoxEBZ3oA}o@_=5f(%nlAZ0Y=U*T3kaAsM32it{Vh|K!a<9IY&z-<3=*xN zb=-O|w(78irG!SGT00VYsdG7Dy{ZhAB+2a+attRqy8kog)ZrY)vc=aimk%s5@FxO*dg12?$U zT4b|UFSw_}@2#=y$D^zKoe&(Odb_mi=Reo@QKl-oRsvHG&BMagQFD5Cw+Tj**BE$> z10^??E4lZ^t~f@cPa5jpb5?z7h%&Gs^?%*d|GeT7BX)K4(vFxFy*g@S}VgK?)OaTnx!QmdP9S=8;#o)#3< zS~w#tIr^{4X?5K<9=tWu%p~mD0D*@L<)9eB){l|~%5_f*)cl<1-3cc?X{4wSp<~#} zzUhJQgGTTbTttm-pJJKkW@RB;mpC;7cb}-Itkz5|eVW>K&Sbyv#^_QG8q%l}Y?~Y7 zCA5iwCt^mVDR)Gf|I%a9dV!q>ksnxn+<4OwkyW2yCma;g*b!nPfG9)Uuk}~jz-_o7ar48U*#u*f6* zuxp9_638>D!%Hi^+2?E0CHpg;+pWA!@s2DPZ+)Zf**i4x!AE9YFVd<&&Oo>!G!NFc?~U7Ay$1%7 znf?Y&kA7K|Lv2OmisLV+X!D1ZF9E;{B;Ldm8)M zQ?{r(bLf&ft&5BCgbP0*!-dB`W+PjfhkFRI^&Rhv>oI_*V(XRl5uO+fU23Nu&Ckc2 zORjt`9CfKx@{5G1?4>rrybbRJ-%s<$qy!a*d1-Pb9J#(#FPy9x61iUyGqcX(d^yx| zaE+q{8N}BhYuKiW@v5aO*?=P+U*Mmu}?>(_reG;w?NQPg- z!b%S%v*8ZzlpT^tQfs#l>(^HgSm$a|-VA4FWq}Y|o2aTwFl7bO6OpJc+el!J)kf`L zPz(PP1mT(zYFM4MOE2>uIUBgps>8^df&O9z9Xx+tmM`^io6H{qpB&`(h_!*ZD)mh+ z^A@n=BksL5OR{J@;vWaN_q)HqAZx-9Q3t8uNGB6L9cVt{34IxwSAmGtbImtdk>G=; z{XU;`qKgjR>^w$<@9%1wYoD)jy!BSy8}?IYWI`Z#DoW$Fn7QJz$4|75{F#f*dpY^n zkKF8~v=~^Kk^v@{*M$S5Au52m!aJaCy+CSzr{jEbT}ti{n5z+Y5m{Q+OAdN(41}8Ss4$NlCywKR#6MhB1%v%j^Ae^vONr;H@Wa4sfoy+Nt?@Hp|DN}z} zj@@58+}!iw(A6ZByS{oUc$;OP-xdxtRbd`F97uhdOXa%W{iGp(UG`+TWH$Cw_Yc7E zu37@9E@%y~s7Eodgb;Y^*7ZlV66`uVh1B%mx#dR*E`lQKxdKf@K7U3h=i`wD^+jW@ z z$>5~$yJxYl7ZzahqeF)`v$|TXtgTX!vNigCsTWAQRZVCFn+2X!RQyI35iBX&%~=o@xN)KSi5AX2|o>{4utSF`*DQ3s_^`V^{CB5+c^ zGw5~Sjp(mseKm*i+l<3M090*ii6tLr6n|()XxuJHhVLrjs@Ys3AK{rzonBK(iDK7^ z93R*3dMs1McQf<(f)w)CtX&zwg>+jVJ(q2V0~Uwl3gN^{+$jG8LA@8d(Y*d&CUkRW znm%m+JNDfq2}v6Q&kRQKRLavV9<{>P-CqC?tv=~&Y8<;W_asVlY~jB04%U9_+bV!K zGXQd#Jlf~mrP+f~S`>LatW7i)55E|#U#E3>jw)v1`Hx0petG&(P~zfV(b7_k4rel= z`N61-5N|6K6NPk}Y}Lrb+%JNr=`fs=qERpYgwtO&K2>obey2QAvs%QPx58UJ#X~A|cqEs`agSPdo?}%&NQ8N^K_}pp#w}>lAbNL`1$tKU>`u30Q z5~LkO4hIcZ!!!RAxPW`H;tS@(JBm~A2dQ3TtHs%~MY_thZ!qIFJ(WY#oM)^#bZ?Ds zpQeg>5j~qW+mB$8W?Ys-*^O@5{1>iypjOS6$9lDkXUNj#J%*>@7VE7&n@%B_EyR79 zXgZV<9hLs^q#>z)8w>g}|4NAT-sMGK#79nYS;DyrLm$T2k8RT9EwdYAcgT{)jT$); zt$);CT=gOFPwjrwur1dKjr(qq{W=tME3MN|!sbn*^Y#Vy`;*5%-2_V-i_0*z9bbRA zBNcUL&jDn7|AYTI6&Z15n3(j3o19A$?xjwK4P}p~UzAw+jn}8z;ldu()&#FTo^r}` z4=L@os4dQ_X-YhtzWUUCG|;xQZ3Am`; zK8>5g(RwojaRZ3Hih+inYUY_H%TW@%%(r-)aJOT87SU7TkDT|grk}T&R2@0o8@|OF ze_M$oB5|1Y%2Q_b9@P0v+}vz{4UHavSZY>BObjJ8=+dhXrhzsry>!at_jZUHyz=hL zJHqzN7)ILXwfWWRyzxV5)n$CdvHqG)H>B^WBc{gn@_{cuv%F82h%^3K2`OLy zENdkxzK}oVb8oqm&!T*LzMh~ZMcWa5@Skky@h`|=3BCN%`gJ|ok+etP6MaUQ5sVUm z0voft;!{0uhIc_svz+LEXu9%+K1L0)q4)-xP8`48MpT= z&3`YeFy+w(*|a=paLxen8t{q3@3QkM5F;Sbx`gz2lv z6@6s?a2P*VJ96rAF}Zic6DU?H|3fOtUil5jQE6nCG<~ch_SA$ih@IW3czJCNOn(W; zzZ{a~$+z3u{cMw$$%ksY%7JYX!%3GQeX$v#LN37{PKhn1C8!E49c z>AlkM;rE(EyJh;>69?8mB2*kU50;@*&h(i;uY($=alSs@#XXOL<#9sQ#{TEjS=-Y^jT+_oXZa%Kvi4xwqMhc460D&fInXY=k{7@0jQ z5}>oxC=rYo7|X}#zjSXCrZyrk7GrjWcMIBLg*%E%2QF==vbao^&v&ySO?#=!28Fpn zdGc1)lIlGz;&FFZbB{4TZbHD`S)YOo*yE9 zmGANTl(N(=AV1vMkR{^D#u8vd5r>yIa8!PgIRICrb_;by;ixnzcNi*llJMI`E~tc|{@l=!z=s4LIjxVe+zM?OmW; zEHGg)Pfh0Fq>BN;C1L_S%6qNrTZ`~rRi24F0}Ww?&`UOT z;E4LA*B(jvvJH79$b}@SzK9GDQ;;4SzNiV-8~V7^Zzj;Dm+r)F(AjOmn!g)myRqkE z)sU@Eb~!tTfMJ7PIG}6IqVp^_wd|NYpzX!u3qFJbvd3H}NYbhy(TcOgTv)RT7wlRS zwEz9?gYGu38aMY_vL<9WV`t^^^KG$7T+?0((jomNixzhXa=`8XjQe`B?5u$L3N$Ns zI4Z_kE9AaHGcDLHB%tt0ww~(ATFwv%c;iAK{6MC2u$XINjV2i2BZWRja8kqo+)^Gz zseE?i8MD9-GrQP-4PO^_wg|zB`Ky#5wbmc4YxXB9aRn2xWjf0Mw-{aH5vD7CSKX=% z)n|IdhoEQiNqm9L|KGj_+R{zI(-v9}x734f8Zmh^=eo}k787!tg2fe*(JXv7ng#8| z!1Hz+|3>WpWnCLx#_gieHDnZngRr?Yf}lJa{eD01KDQ`*boqGyh-H_as+nw`zGu4l zJs}B6Gd5$IqZm~zW4#dWY_c!X^;Yi_;?+uc@LTR-(vV-KoaV-9ebHB*ZfF;9Z0)lE zR$h1ff*nN~eKHuh;B2}mlK^_MPz;w8oU4|h+RHjsb_sq`gP-ooDHB^C?eGsz6tikaFY5rlOq=}4p z-nxYDBMX&}z9!FiEH>^fs)P}RlyBn~S+NfG!u)0QNw%;yZN*@H%RrEeb3LdxF%}Qd z>;EGWcyN51JAK)YS@vzFwN;$Td7*qS&1>!fN#j=YPBEHW3kPc3H;tktW%AAd4P0$hF>A9 zT=mGy8`v=>-iMVeUMoVL~-T`ikKFrzEAE&lpmc5@Y`>f`w)szKUo&EFHX8!)) zlg9ZvCAHkLLyE+{ga}%PP4tBY6xs!{y~>)JdVsonTVr>+T3kk@fe{zYb+!wF>Q4Nb z%?5j-MjNKd!gbpL9TXI<1atUx3OSm&Ex~q~VL;pbCSGtPP}{zYMf6w`efk{yZ`^r@ z$}hGsIG?KWF{K|Dg^-`Y6ET))Y;dr_WCG*yTnlBT;&D3sz3(%v@Z+Hs!3`csflp?k zK%J&+K+HI0ATW4R6{IW{^|oJE5Y#-7SS~5*JL)20=4^Hzi+^c|ZwRbjD#eq>+F1?Z{l%`eKCD(6zO?oT=kcgm$!6*TWAKq3&d=qN18#8D z@W}@CLYCkaN|mf-9B$E_A3nwOv}r0Q5k1^$SIZPj3sL>kYJq0j&c8Lp*!#)Et=|vQ z`-z?;54C9{*sca&NU3N4GI7xLcl`wX>Ec-gW2sENzSE=D`V`Ub#zY$R4o;icTVXs( zo4Bf|MG>Kks49`Mu2~xu#lpcMrBhiUU#6C3nx{ed;4)(Q#`lV0O@4my+ytTR|}~a0E9q5nuBeb+uP^sx>H;(EqR$MI)8Js{*+-V z<~R3jQatldYJnY3gd>-D6!3T7CgJ|l3KrMZ;@ zmv0w$oNCMWqvTkqotdfLPJJ}5oo??gSs~HLsv(QBym%YZkDF#LLmhj_LiJVCgMpuz z^<^$^W@H3$tc0ym)Nisq_-1=FCS*gMO!m`-P)J@)@KyKw6#(b>kHed{lcFPq;@_w) z^`{spurJ(r$NuJ4!gN~5nfVgjUBRvPud_b;DiW7ezr{OZd|8B%oAqOqfZ!{*`sS5| za(L4rN3{(ghx>ln3H>oq>V;C9?3XF86_)r1?;Z6RBin_rBmivul{IvPgk&Sk-Tr0#7PW1?bZ&VtlMPcz-(lyM0ML^l82w~*k@JWH2=Qw zQDt#tLgo$TJr;4L<=bFzWW$7D7@NOg<@M&+8>mK~GHZYlFy)1E5mA@d;TAG|k& z%1yshs)=V5*E5g3vdAR8w5=Mu%w}j4>m4J+d~U+?BGYYp+VA3)nt|!mS^aQKug3P~7v(#UJj`+0wd(waIyj}Abehk3{GuZnj&9524QgmS47U!84)ZBm_ zlJSQnItOKUCHtc0PNnjw^5~95zKcbiK;O@h+RPL8`MU(&ELJl@bv}2rC%OHe@8blI zefiMW70dpPj!pkg{lYmfXqTbz96B|d^|qLrk2I^7JYY=7QR+&G&r{~(#iA9*9=+4B z6%Ia#DcV18ya9756YMO3y|aM7F0Xe>vN%$w^8>er<-OJI@Ko{bli;<5q3OQG4gX;R~+7zLBybsI!9(S zpZ1YR?c}7gpx4gs#3ZYYac}KF6-sidrqZpZ#~ow8qC9vz*ZLpm_^c61W>RJH)ujzW zXv>^EpSPN_1WQjrhp`7D_MR3A%4+);?)t3~)bCkCWMCp$j;YOSd8X#axr|e&4q;g$ zR8oX`$wc)bv2tOkzLfA2Hu_5#dl>x8;!~t4t&WabinwYv!zj*tV+#g_3o6yDqTJcC zGyR2Tx-e{Ukf|Pap@uvY?IHr9pS?Q`YJU>4BaaX*7SFZWi*iICw3G2_vMpZTct!>b zm3VYy5l!a7Mq6*IAh=ahNVP@wew=PYLZX+mNni7!1%TmbL*9I!FDmRVYL3tzgGHSb*+#2gD{@Fn$d_oyUPA1+#9IUm># zeeX3LTt+IbMlr(eeNj{Q(JW#1>K{}=Ys z6vpl4Dk!IhJ7=hJ&GO9Fo%d^4Pl}z}LIY;=b z{xhLFq&Z~c-lUJt^W7JA%@6ilz-;GMF`Y4B87FubSA%C$rgKc89$7oM3OvaZar7?y zZ*!0PvK&`Brv*4Z6UI#Lo_pf`(-1w8R#l6Ig&yE3Daj7t?4=&$yr5{~klpicrCMyP z@}c)u`Tpvnw@GQhQnP&WG8ruAxZUa0C)NDA`RUJd+ZX=qos+bzX!)RR*b822csdT2 zk>u2np?}&*>K+x{%Is(Ry37@;%k>6fl>nHx{P9vTAaxNfZmo}96Wn$d3~qlA;48u~ zdV4GThwvXMgTcmB<%BYB0T7d_);L)tY3J;C<;3Te!9;itHq<0bO{Yx(IbxWcah9;C z532Iu8TeynshYw(#(wjoDW!7Z9{5D3vAubSZA+rlVPOcho|f$t49BM2GB%Cr zU(`Ddep0p$kLs<4f^~W}H2mI91+Vxukheqv=(9tVEa@Urld*X%UP5 z*m`u8GHcaW-C;g1<#8o=W}3Dj_IxbqhIwri@ZC+{c25>I-paV6;H(>XZuOr5is2&AFkS5C7LHFV= zD58t;LEba<)_>{p`>O*X-+CRYpT-7l1^(+r3w2y2J8-_)1-HdhmTWw$OEAo@nW)1+ z0|znDonqvlmTlHiv;(bWUjRJ*E=<8usIkL>Q*wq|dCU*DAY<;c#qDM*$vHJK4uCjC zNu!=O6$T1xKc&?NbouT<7EV_!i>h?FXv;O2zn8BE2ED|%6_$@0Op|vyLXT^%jCrTf zOhj(V(l1F|it^y;+L5lGOP*QjzGHmQ|7hHW6dzLCWg9aaA9J)BUSq*eLbiIAbEL>J7PlJny=+2ZPCn_*ye&2C{dQ z)(BhMsAO8sTno|i=x5cjI;QnaR)3;VeCJkRxsB=%{bW=M}}SxUBp6-@BZ3-oj5i_~bEvSS+YgYbla+51$Y| zw{F9(u&VD-3YlKq1C1`8`=N7dkKzBjL&Xh=+rj;}l@V|+6kAg7$TR##uHmF=bT8nq z?QM&rD+sT@FY53Jemd-zsJyiZN)uGgf=%A2xWG>nFCC!HzS`amrt1FA$qtTd z9tMGUJ67ux#Ac1a`iJ6)bvDBDrM9`mSNJb2CZESZy)t=M!$lE>^h4iJE;ba?S$ZeE zp_o%#m$1RFAb6dSBmJe%#Y~QcU5QP2aq(Fs+`Xq>Yv?gB^#J1Z>Y#|I?d?nUay!l% z6OUR&&I zx0nnUuK#V&^wGuhNLPQJ?eC#}rOPoiz>18d-N5i@jSB;aIHqJwI1lNr@4m^^?M@IT zPzbm=0X(RRSbh2+uZQral&-1V?QhkZ&~ZlP<_QTdZzr4&=KUpud@i1OGjxwfbH1Eu zM4lmI+eROLEfv>X?7!8K<-|KAQpeS}Jd919`gLvr4ba!5=GIn3l7L(a!- zq$0{3lN{z4<$Ri)D`#?MV~#n_VNPRgGyCoH{av@~y1xIx>+s(D{o3>Oc;4@$=yBJi zXg#abha5IH(nYgHg>;8+~{D4F9)bE{To6%rvw+~A#Ng$(nGc6AbKEC@cP$^*G4Le6!T@yj^V!_QD6c%17I z_HAEZ(uH^Eb0;`L4soi*{TN2~<|7E}R`1uXJ?bkKO(z*js-QX%IAySBVDX-+5}ah* z_)_i}iQZ?V=>O(qLF=hbw@5(e#}E6zo#itzYun(r*%a!wuQ5pO<1! zN)^G=MUfxfAgC(AJY?*CrNpBy-PoZwH!8YYyx zjYr>hWbYA{j&^!r3I1;o6C!0yosw+~K=^C!G7DvTs4EwYQ5N9IW!)*g3lvu3LJz7_ zO9DF*Q$ZzMby{D4+$Q{tK8ZnkYnRutT_JXBB>@TiL-fggmvJDS)#=yv-Nvmv9xTpt z$L0lsKCIZZ+i@>&#$@)Fne9qVT*G;SRwI&m}MRps9O4Z4HB{VL2*y^3sbt_ zjuv4&n3rBy5e|T!-#@$Ewo_3ktk!l!-5VQDUe(Fxu`94dN?*#;dUQEs)fEPd}G6i~X{O zww`9`Pu{Zo6$j28CeiPu^zWCS18W9ktJ|8cVOge(=P8C64DQ^t%Z^63@}bhoc*WHC zQ3A>_c@9=?9FA>J-p+#5?Coe`_1Xv}${S^nnoIhb*GXNl<$nZ-e`TOs`sKAFB8{Wg zz+E$tY2s8{*=u#M=s zervzTV2M_E|KzReHyuLors?YS?Y#u)CmlWeskXPYr)dwZA&``PMpOKk`dPIPtYQbk z{@vmk+ETNbb{TVd4g%E=AWjmOSvf^`dE?)dbA<=|G@2RqFP84;r{5Is%u0w+m+Fj` z!8M0WcS34xL)W>p;^gg8_AQMMNxSXbxZ)@I(80_QJ~_hWu}?OG=&V3o=V@^J&SHYf z;+@4TMd$B;g9TQ!%i;Hff1hgRbZ`WmTnnaZ%n4~x-~;#CK7c5n*kiV3C}{24ipoo` zgb7>=cO8tR{o@ocHpj;RJ9bZBuid4{>sc&+^D8eYT+>{>H>Y;RRoe1{WeEO5)=hNq zrGFq1CcYiduf=Ja;?M26dGx5t@9=8R==cdclT&Egzj$il@1>u*m^t#jY78Ekf15R9 zv96`N^Wz()a`O}o-&jQ(YE{)Ja6LyB$+fMonHCHXIkPc`q5FGQODd)%fU<+y@{(z; zaQF9h+#eXdsu@!}vwmB-gPw%kcu(k7 z8fQHJOIk@&sdulLa%E^)0HYP#MeyFQ>}`cG>|Xv>s^4|!j@6Rq)SSlTmsyBIN#Ojf zMVNIRHX99}hm{c*bW1mXEP4KYi9$od*YuiBs6n{Y`R0*w@^WDy_B`Fw$Q9~Hi-LPj zIzu+o6-(R#3a9hvG%c|Fk5wu56f54u5=30X(BvEFAIY6HgAV{d@sczM)>f?M30O(l z8g!7pe^WtQP}rC0&y7s3;X}@Y5)=F4#H7~f?(J#iTNkWMd4+z4 zvD4==hH*c$Y+g)kFL~=EUbGjd%%;_w5<>dzY)|+{z_#TN>QhFU>p|(h4xcD*pg!7q z%*)1_W}h*^S$@>e`YVdj;5rsvB6&HQ1Z!c%w3d!#pZx9np(jqeVx;()(Xyjx8ph|C zgk!qddOwY~ck$jecHrhFwXAck_1U<$aB6^t=O0n*q!YV3x0UFY3ysh7&WGLUpHZBw z==h=IJWJd949yP~9x?M2S;BfFcPyW;sBYMbC9rs@%{EGo^&sgVHPlrL?CdrSCr~Yp z={~uaMOvB8uCACntp$^ZA2luhN+tCQ@J_pW!ADmgyH$A$Hog_AB|kr1E$G0N!)==7 zVE5{wD=&vD%rMhesT{*6=d;&BkBw^&-UFFX&(mFp{UKs*WsfXPwQ9Yq^8qbm8D%9? zBKO0Etu_2&4Hy4>8J|`k%%0jTL!YdO)VBJJiRmRcJo4$VJlDAO%CIUToW?Puy0&>4 z=-kP%Tc~z^;hR=M+JNQ`9$#4jBY6Br^Na?zj%aNESbCI|dti4?9$8~cZ~f#5bjBX- zhsG95u4b=7b^*%FjjLM2swF$ipkdXY`FHrI*nfpFZ=%lR#1*9#DWIJDI~{0Fl=~fj z3BkZklxHM=On>qUF;+X3qYhAQ>Mue^BpCnxzNd1bLzpEnTI##-hC4D%8ergGCgJbfkoqRr`Ws7rN$6M$0=&I;!Jbw zokqGV39(HFSPXDFF~L{<+mbpPr9OB4viRi(W0^gE+Wh=0+KT(Rjc)G9#nEO_X<=(C~v4(M?0T&rh~UY>}P)2MpGvH6&20H&j9{~lneq$@@04}7-&!4Uw3EvIfDs9J}5Wnc6VE-4{XMcm!)g z{Ju_;h%QrTo1qV&!8{(nF2CB55Xv_RQqv~FBU(7LfN|4U^Ff+Dx*Xqor0nN98R(T( z5fSKkBTClkicHSVaPN|3TO#WKC`sF@HD{mQ@&vwZGr!M9Jy`?tC|c4_>U}=9coD2M zjxyytE!E^9=y4O^3V~Duu@z86X;ANy(DltD*JN)Fj<;Qhkb9CB3oaZFvqZ?jV>R}E z{l^=teR=mk8b@FTD+z~f1>zBOD(%MfjAou7B!PN%^3B)Nv$d1~$+n6AQm9+06`FEx zukYLtaJ146d^07f#ieh0YA@U zD2gCz8^)SMtljbOe6uD-0{r>{p;&w10I*b@_L-JapE;m~N{~p&JT7@nIl8ufig8Vy zlg17Z`JDBX{z;m7@#Zau8$~8+>hCig7X=sf_(J`EVDDvWGO3H1$7WW%>inA1{_lYZ ze0PV`t!3+4gZ}JE-3p6fZ$CRjjm7o>V;*yXwU0gWVUWOtkJkZR z%&jc?JC$sxjOCsB`BM`11-H6S>z1=Tw@4hyR&a6GAJ4ys|J6Y!RJNO-e|ydxbZhD4(Iv8yktu)Ec%A3EByDRk>i%rL}C}{?s6LXgf z5T{@^-!HsB()#-o{`dkwf7e5M>qT3_z@-4_RcR-o5xc(ShZ=pnJUy%MVcjl2?K?dy zK9QsFPkDAs0upW7qlP}+Z@)dK_lV9KO(Wnkt7dqx#;P}va+_QZKLP1OPd>!ZGYtg%G@sgLTqQx(+> zbY}l(zr!H)?7P~9W847`eV1{Bc#W!2LQG&qI1HaInMil&_g4w2Y#U=2YiVs8Bv z^>EI+S|Cuh%i`nb1(iEdn9W{POWDvGvorAgB9N^+1`}5gj3(G~M zJ0Hpmd!!(+a0FNTw6Ev>Lo~!k8)bt*|;` zO%x;zJUiu~B4_O}-xQRd1z&QYE*r-YHli&VZP1}%{ex!E&G)iZfR*Ri3D*+bYZP6?=M8 z=>1c}ct2@C2LS3}@s$W?g`MT~-EcMa$awx-e*7wL0`2>=QmvfBq_Ki1ZePsxoIlM2 zH(>r(j3zmz9A+8eQ@sG3Se9*?qUO}M)En5D|6W8Wn|;oG)ylZc2%!JZ#xrEddDa7G z%N`ixg6O;LN@h`DZpm|l5Wz;}9?4Kf48T|YA{aPQctI$pNL+x)Dxv>kGE{qrYOKhj zX`1*@h5Rup@h00=ubl7jN;{obDapyasPv6IIXbORnyvTTBI`+Cwy3}&GdTf(XFO-T zS=AI)YguvmDZz0uGUX-~r>k#BSdj7Xn`b$kLF2T+K9QBEDf7$YU75FpR>(zWD%SM3 zz-n>PFn3mGQT~aSNPk~&--h3WPPWH(f?3hyrmM*CC{3=dRhsT}4(kd-U%DoE=KoFz zP^4p7?z^a9u^u9Fy;1ra3DNqg_HuOa-}=h43uAV^NqB94@`E%*f6?qDD3gtSmn;V%=CyjeONxVeeSpvGYzdWPSQ9r5*Vc12&BOp^ePP&?+BJQmI zeanC2jsaeMRYQ%|q4gIxB*e9r8LC*SFO9dgH+7fuIQ>oKN;Mg#HyOx36;EqR7*l1Q zsxW?y`^?xk*?mT^b@K|rP#f6EUtOO6+zI5Fb3r`6vFq}3W6H$Z_b5%q#wl;4th08C z&5I&gn?mSrvrH>=DwPqmHR3k?WNX5n*Du+alFPc6;>0S-;mhxk#EB1SGi1CC9!)I@ zTPeZ*Weuy26Rhfu_BTv2&#J!M>Kl?e0TI^;&)K|dn84|984PsdR(IZ?;dVY`ueCO? zt5z#sGh_^YJpRQFy(N3vLf{?j^oXXU>R6SO)48(q&*pzJq2>!-ZVON&rFx7o$SQ@RY)i+vsDTyTrIr5cchQXdlQf_+#8F@0)RJ*g#aCp#*I=8Qq?R3czg^I8nI(^$`Y9I;D!yAwD71bql&Gih&BW?FWS<-9Ee81e zM&*B$91Li<$Rux@zZYIII4pKFt!@ACSo#rH`mZPYZHgO+#+9#byjr}S(ZuDb0zRqa zrMn|$sHdxA15I1iHscPrMR#R*P64n?5d$4}1jxc*5@w6A4wf~ny2ask;ax@V+$;gkmw=Gxt zIT(nwIgX;W_m4i{ySGeTd-zP%cAkwm6)0QkCzfyxFO7+A{}wShr`%6`rYj(LXVI4p z>o}u3)Nih?Ru*F(W&E`0$*o&n7LofoS2Zghp6tQ4J0)(wcX&0Hf3A#6j=milXyNjt z?^5S+uO)@+vw~*Z?LuZYp+qa2;15a>bldKL`dPTX#`c?J=*F!Ks|<+!cH^x4yQwHY zLD9v2dS|49)X5@uhvf^F&cF7K-H{Cb3u%#A{G7C|H{r{@y{ng4fM#^=4#}YRA-!fs zN!~MI>gyjRn+8=GO}9fvkC-X1es0sL^Lff1j0^mC8zpXSVjCT6bgzaLy$p5dCCjmk6M;>K(@AjD)J3a%oWK){-ZH0=9pUm-a1v*v?m#h6YWyfUU|_+PhCn|(eV?aRNvuIQTB5>z1i;| z=NOPpF*H@%O5N8z3{#%}d^Bg*dC_w(4%827gMvK;wmiJ4ufgG?-Ov%Qu*qt0VAa(o zf{V;?3PHGOdZUF@X&$!yvV=4@Z9%B3FPrg@x2YQf+9AHl&cbXm?s>l>sJfa>hYTuB zJ8xgm2&U3JYxc}akJ9Tft<`|mr$@aj;J`JQM`_SusLhzNz0tMudh~=4sffx3-Ae-6 zG&WC{Tm2Z#eqP(<4aZE*axiXsbhBi)tQ|b_)21B9>g%-zHAcPW7n!L2A7ESA1Efm! zTRZmsHea8E5MV({SEPLJ+I{aQ+oXHb`%CiHVh~9J>{t6^TeDa=F*~Lrazxih&4sI6 zpMA0S6@}&c9NVZdnXrFI zea__ZSv6fCO+;1ff|5P(N%kh(tQnRRYyfA2Sm2h#ci09UUKYeCI|6YK6@ zl}^kjPv`p8pR+b=vT}S0h3X-aKi-ZH3d!w?GAvSYeh6zD5O#}ix8Aa_W0A;+NRvO{ z7xfMx5-Ay;K92Qe-!?zqE7<$8ik?XUsOA-Y5Nmy!HfgJe?$|s68ikpn){M>UDhj&1cuo3rxSdeCvmH0SSzW?NjwGgLJ<$i}{Ag~$V%S=6CgNC6 zsEtcN3-}Vkn*MTjU7``!Y5k6?n6oT@@zkFf*KCB zBE{SbEUj3Twu%Zc{_M;Ve_CCJ3VOq-^tA$RviIg^rRkp#ff#)iY^*>l?gGQZ`~<@> zU7huiVPX}2xxd^SIQ~Sx(^7LjWGxHryV7@juyfRU)bdnM8e3w#C_Q9$;8%ryy`$#e z;xxc>j_eTr+U`$xPKfZ)w?AfU-?BpF0F>MEYmS_c5S_LnzBCQwp|q8#oiqf`God;w`?y)nW=FUyav4WK&NP~ENti+A{P%pCvx9Ug$lmp+- zrEO9@dKFR?!+j;W>w>6$o=NhQW zHAqfWOekS9qM38|VE@VK-;#ld%wWTmcGQ?eg{C(TrROd5xcraUN>4%ox6txwv=Jk> zMUrA2x$2i4v3!-A5sM@6A~V_avO<~F*U2EI zP(Ea(LFgb+EH{7oPfq|-Dd_a|f`%`>UE;XmL-VVayp3 zdrz(4j9uxJXk2At^y)y4=yrpiw|R|~E7Q6^A}h`Q++7xz0q@?mZ~{b`xOthSdVWdzx~T`_6s z`5^vH{AJDmyZqvGft~4)|L0d;{+W12ydu~@&6sH6zb?g#d`?uPsO7M(uPS)##I7Oc zEyXuek}PE*o+Zlq7JiU`-4*$4XAxBbxXYWuGE(Afrj-R-l_apz59P3A=;Xw4Z#0GH zq@U4`tjw|{)THa0g5unn3({>gX_AvhKHOvKEKp$WNi0qlV?~LF;Ju{!h9kH7;(2fO zPal5tYlCX+RA&%sc21wL@1E{bHy4?b=FfeCmP=}z-T5x2n=N^~%%V8T{6wECqyme} zXWYvmf;_{s?w$}^VUaK*qE*Ddm5p*FTvIMKYT4Z99IXy}Cur!Cy_c>;M}Glyqj3yO z2SbZTN|u3JZIqmql`Y%zOTq7^jyAP8aZ{b~!v)C0CI|9!DSRLQx%PWO(?+3_zR z7h5c@sZBk#@_8R0zj)k6IiXW{K-Foj{%tvJ7juYTu+4JeN&APWaPx|XIg=Ae245vV zGx%!A#tpDQ^A-18lQd0J(KFJ*N>K4IY0-`!*{f29K^#5{nzsI-uczN+5i6L?n_R_i6adPrf9qUI%-@=dt6 zYG?W9o~rWzz#WUlZr5=@YV=S30)eGvA9qJrUL$xcb z@SpD7ZX2EpCyIE+$+}EawLZg}e!e|H9OnTHzLE+nTm!QuaraF=jIf_3JeW@rwNP9u zy8pe&4c`Ufb6^jf41_$9Gc{jh{v-Jr+W8ln%YO6Ibpt(3e}2iX`%1!G$vY`-`hvb1 zZZ*J%Hn?uPziGe=!DfOok7L%i-aGvblZhAS2CS~br*<%TNx5J#a2hnc*A!z%!5cDey8tq2(gpS-9 z#Ym&p57KRHhE}Oo!~<}t52f4!^ra!XEc@_jlTRAG(g+e7o29kp*3{_n8mx#IzDD5# zQzzMMOttLezHAVX$nmLm5ZB~B#fAFNrUZcY&#Eiisa%o4dA5HEK-=%>GQJ+y!yKkq z!u*$&rvIIU&cdQF84|6Z8oPmEznz*z2~}8UloZSWQKM`nutJgQy3ut<Vn|R? zg%_l)^YG)i+DrXS{wl)*&Yyv6&WOsnxKn$;k>(3nKh_!rF{5fs19mF6&w8RyswGGV zY1gK!QROk9W{y~n`B+&*@uhKK^$)o6Gh~JK}%1?dh%QQ6AVO6;d`1=5^}% z069SLtR0}jMEtBy90i)b(AA;;&&BMVH3E^9XScoKtcaLY z2TT+&C!V{GL+hLDR@yf~CD29`PI;9mFi!qb4x#-xdI_3@qidaD4B8<##}*AcRIepx z>jCckb(fTFJMSzIZp>APou7We3DUAZgw0M-T(gEh)dH{Zge(@-rF6^lKLw(hvi75Kx+D^Afb>%!~Duou>cp%|j<4kStX6yF)gi$sQ z)M_tG*vnMynP8*n5Lja&0d-~s8HinIEWE=)&y0oPtP0zz+Ouptd3a|XW8+=tH>lQ) zsW>93iEE^s5?3NmUfsRbqKiGZc&7HFazb1e%~?$gz@RLvFkQ!nFxZ_JVTrxcT+G+c z(Q$r!TKb{Vo4eoLmhlfh2+;`1c=S1^bFY{D1yHq}E`k|ihsO96l zME`RV2Jg;jv1_jPL4>1DdZOJ*uj1r@YMQ9z1-AtA}4DKZF-6sR=%lcAL@pWSKv;T1aX~qy=vaAoEORBLi@J*&N;`s z?@i=b8920S|4j(JY^W@?R@{+^r)=zXEv{s(e&bp(Bcs6db)-VFEN$C6DY@0*QEjd8 zg#2qKgI&L$$$-U9gs|?u800Fh4NjvwGE|O+_@p>Ck*3%F&SnU4w&02mORatjFB`_d zrTagvHithW(9hP&e{UP%)Dq5LcBBV=**3G9cV|6ZW0=@N)vj1>qZFl%5YcYc-}pRo z_mVXeX5CzUz3S@j+E)n;u#^cGNW>~+d?$vTu~ z>uNh@QWL>-X07AM$)-*Dpvik}l#u_%Sb=|bfM_40%@WfRMg$EN<$qI-#07$84s!s< z_{(AVs-nIF24*a-;oNb%Z|fYnp>p8LskTg=4(V!KILqOC9LQ?(5`SNhfeGc3_lu>0 zqUM3IX+lbU^XwcWrV7O!@arILtl9VRk@KgkmVwirh*;1U7W}a)@ov$y7`K*_E8?^y zkP$`gwv=|uzNJ)|E_@ueUjaCv#h>Kgnqy~0yDT7w51UJ zMt*m82O@~trX3Ukuc4J^{cC>2m)SPtWfJ#ueFlC3W+C)YuvHdvTf6LkP5qTV6+YW#ZDiD@;MuV2B}Ajz*E3sG-FbaBM8@m2P?jO61HDgkli>z>oym>6yrxGC59IGZ~uNBJTmR;^AqbQ4>KWY^*fFqq@H zkq@Hz{w$1Aa}{r;vkIQ()dcUcP=BY3)XbmkZ>V0#(hT644y0y5x0?yjKa)P_gY+W8 zXk43X{agoDFoQvU^U(Oq>0Nc6=hnlP6VDfm`v}478}@2$4{ceR1>KGCZcl?trLUUP zgJ$d6su-lx)}lJb-HvjNyF^xJ8`dO>m&n`*+w zQS|P9&O|bo9Dkhl2=}Cu!(IMG)7peI6Seqq%XpRQ&ftyJqGtY^z`FjGXI))-=WNQ6 zBH{P@mO6^+nbTt~Su<1QD6CD7ojSqV3UOc2+A>Qr7k%$ZamPfSnBMV?49#m0nYzJ& zHT(n;XPb%N`U-3>hg?aon3P(SXvL7sl{ey1(*-*y7a=WL7BryU_T$k|+zqtv7y#OND{S(v*-^b@mm2Kk z8rmVw7#ySs(e=1ek?+&fXHj;CY)mGY%$;rvMl;E&DRg zS>?%T=du7WI(&o&9eg^bj5sw@{`*Y^T3I2(6{5Bvn>>%*Tess1Yf`D5qUZ}(b{VzV zC$|QD`PfQZ!~AeJoMKn9n(b}tT@I9mK2Ee{5IFxQEdGezzt#X2#nRi{B4sinVIsiL%@4oDr^;+VyQCl*{%>SELtAKYLgRL!L z;HPEi?XCIg@5nhf8Q{Ka*hbXRtYyFQ*0Yr=#LSQ#-XHA zRRm|5>4=gzgd3AEf*3&8m)Mr+cI2}| zdXD=0B%4R=`m#}!xGJ;9;uH?>z}>zO#2YYsZL@a)PsFq2uUh+eGb$H?Ff%oC*4aOL zZ_#M(C7Xo6)nPt2cXWWwwg(5d*0lPqLBoz4Tc5r$DM$xC71l6qX7M4uzJ>TN2V%YM9up4%VMT8Rxhoe5Qpmf<(mG;wH!R9jv(Pz))(XC(H!#4 z!*V|sSg60a;r8>#T`J$9*jw6nM!K8d++GC>OG?iUQJQx(z3VAaYR_@9P$vI`H2LL+ z$=o;U1zx3oJT=IB9yi&;3 zA+g^AKE%a+U2}?QU#y4iVwPsTgmw{UwXDsk*`MXb*__7Z zadt)_Avvo6wR$&T{h#s3t$r?l|A^pGv1t9#&=I322T61%_TqB!>HQ);DeV2$0vl>l zl?A(vZW*HBik4ERbi)Q*X0@APG1dm@fmPZnEmZF^>do;K}?H7zDGky3m!@I96f(Y`I>-?*8u*GGsUclbLc zezI1}Ym724O0=Z3i~U6^)2JAPM4)L&R2gqI-6&omN%OprlL1~jy1U;tff#Y%-v6uO z<(KUn0q4%{s~UDN{JXDAzzn|-1%Laz^=2U$qgB-iB6Nqo>mmF@M;}6JwH##Jdbk_t zylUYRZp*PxJUD(vv4I*R6qR(8Bk;?*b94X2+X-fY9wQUX1=)$AfsYKz>EjyANt` z(ivnOEs_22=k6|$psD$^;S})yt?x{^+y0H^z_WGS;#w~UZ-Wf>lJhJkZ&Vy|7WbDQ z<5#P6@_{F(pc6s4uV*+zrbclryE(s-Ikow}hze-?@6TN0V>oC4b<2j+u0ul5rZU$_ zv|rKm4R!(#_5~oUZ0Gy-bZ*W(Z9)Vjt?Xd_yUn4ODw$SzN9~X~1}N7jqCvYrJ(e7l zB1UlomHYz;>`#L1calZu2?0SxLAt{e@)hc&;bWnN|Ga8}24RFcB#lsUG`R+(uH#F1 zJ!tvnBc&gZ{uAt1mq(?y8Ri`NCWNNRg;--4UhF8N2jATGdfIk7{h+wobyDXLioZ>I zW^&SrN7A?&jaJ?n`#2wG0P~1(**l@%4&nM z_x7Kj`QXvsUqzggKT$ZJgOQ3005JQ)d&cwr-dy26N<9^2LhX*M?@caBfiaD0mY3=r zde4E5uQ3YKw>3gtnKsbr8nf%Ey#k7Fr?i#!xH6 zmd>D_1Fg`EL)cOPhH}^)%llWihfB94jKVBHD{Fs5@5nPT6-fW!o`KVrG{gRUI_F+e z2FPyxQMHgO6=1(;DOCMVgsY*2AUIh4?HcV8YWI$u8$(Q3Jy4&y#2aN2w$b|#Gd1#8 zMUhiEblgp2tJre7pG#AG*{h9ki%O_ay<-O^d32cUt1F%U1$oN+U18WkQ};@RYQh{FZv(^N!x^sf3!YxAuCc^m*S@vRT!sx zQc&j(HG7q}+g{y7gAldX3u!$~uYj9QM}a#;8lqVBKE9=>9B;%v7M`l+7F1aM>HEed^u=4Yyd6?^Rq-KeclY|{_Z*4H<-5HFK8Zqy z`fIfeDoQtNX%I;cv*4G_|MvP3-5BFK(6tkshgT11&8}QJbL18<={q+Ewwx@FQn7(y z|FJ>mc7KxHs(#m|Jo$M*A7_?PXN4-cKpLOE1v0Lb&FGryGY;FL6m8dE?Z+PL0+*l| zJXaX|Mrkkc)2C2@dx4pRpqcZe2Wy{5_H-a-?%#WjdeY@Q+%sPJUQK=0(-xQQ3un0~ zas!ue{l`TfqS#ak5P;vmml?3Tn{zoDH21I5J(EYn!sK<5+3(ElE0L7bMeEHVg7Obo^vV69$qI7Xfn7lZR!m zNwDd~)yF-a%p3AryM@kwBA#F2HuM=oUDqX@@!b=*^njo%0h8);*>lt-j9Lgg-wAIo z-8+ERf;m|bDQop9n7F6(wp@Uyw(U5KbzI7(e5|V-sHe1U%->9<&m7sq{BkqktSV_G z6XrI2W1l(BqNzY#(lvFNB^rGws^-ylJ7rh|ub+dt#D+oG1=MycFAR9i2|6y!EKT6+Y8gd$&{q zj;O|oXD@5q^7b&Q*Z37`-EEacv{BY{%m5sid00375ae0bKB@)7PFt~|U5`IfUb$^N zcg%R4?PhFNFC`_APyQhEeX&%QqmD2TGWvdIvuC4F_F%nc_0!7Bv9FAaEiv5;i_+&W zu;3u@gsyOEsBTpf~daZnfp5`ZU`1 zG+t2i@5~tMk&p*F`D!E$ZH`{eQh(pTXq~-`EpRaTb^+PJac6tJBl?!TW%Xn~_KBya zwkA0zUM{@zlbgWNlY8{HWr(Q=?kg2;Au}OdV09LCQEako(t(6NAocH!q7bvH3|vWr z?#b2c1Lw3!;vs5Hv{zDKLx26Y3ljwGK@ig~ueu8IZO~%+Sa8}$c!Izj?o?0sAL!-FJdc(~SW0hR5wIF5KC+J zPwXWa04t0v{Wrur-*QqU%64k8C4XijhjygIkb)76S@@j^3z>FbVqWacUX^0ZV#tQ6 z;tRxzPQJmR=+4t@tFOEeb;Uc>@XKPk;G@+BiZr{r=z5{5bbmBsPOu-sHRR1syaLgfiw)lV_dDq>P`ga>VkoWrFOXr5BRIF-@28U&%|vQrPmii%QUy_1Z>9_No6f za(!CCWDlf=ieTVyIwh^)NZmW+duDq#85H(qKg4a_wEr1$`0pcqUX*v!PD6dx{#Pun zvCbnO5@YDMae^(c1-O{Q+k>P|R(f5+`d4^AoOcXyphQ%Ls#0-F8P2N#WEN&dWqAD!qxN1H=(~o zzM$kYxo>j_c3QI6J5!%|Lb*+qpADiP3psQJ49=9%aEkUwAjM!;JdMh_{|lBvc}+>w z7j{f8f-d?5Yu!lOnSZOr8`!vc@HSeBFklLglY7(_e4Ej!=d zhk+Ey!AgPCU5&7#rn&2TV)eaWGp1IwT5 zL8S7a*23B#isVpC`$P+A^4s`do)*FF*8R!$zUPLMbM08Ec|mP3;jjJ4)({-`pA(qC zGpVs^{(>6_ciQ=!&t1iT*X7-|8Aw+8knI02L!e_s+t*ry&FjSrI#ai5Dqy5i&{ScX zt)S*81N+A~Gu}GQxj9$Q>lvqfO?L$#+)yv)3td2Mye5Mt83)vh`;T@x?*5IcRcH&9 zGquR*NDfb_pL4JI^~(Aj>v;o1rDNxWv;GP_E8_WzpZCf%O5uwKYcRZ#6pdljX@RKz zv2H#6!P({AJJIu9^Gw-xIy>|vD1O&B_HCxl4ZDCxwe@(@8*69h6<+RN5zz9wKWRUl zqmKyAdU!jyq5%l_$yWGW_2A>4H3R|otIRMYqfOeEMK%I zhj$oNIRMpeta$N?T+;n3wy_VIIqSyl_)NmG=eU^i@2hsaCU)gw5P7@X>S#`1Kcn(D zP2+oF-XQ(1wT`?WD6F(?m<#&j)6xr@X$5-^4XWl&)nQf(W^7a8GE!hQIj#l3iouP! z36;^5eV=(8?8FvXTD!W2lIIzkx-Zwsw7JlXR`M-0p?o^5_z+#|*F390zJNq!8-X7? zSRYcOs6RGay&XlUe&&!A*tI8$*It_0ZmOh|Sd={u-wGLJ=22P|Qqs=ii*%a|KJF&w zJh<3WUhi*SPwP%XPC^=C`F`XdPehLt3Iu(w9CQph-&VT*0KPcxK`7C%WgK)b0!|YJ zDzoOYxGb)Qjno#iy4_y82v{r0^v)diYFnD?d5hccNn|k5hLlhHve1_IriyL!dF%ec z*)`^B9t#c1vA0D8FE(yBf9^hO98nI_tzMKFdRbRJj)lUDW#{*VTn1#N9`b&5%~JOW zJpf_w#M<&!>EP{ug-#SPZ~zo<>mZvo^n8<|U;2&q?c>SOy^r;SRnyjx&1W84)-RVZ zGZqsj5rRs>Nxl5ouCHIKvoRH6{?qoO%Z7WVyxa?SO!d9;bAOopP9K|f5_yTb3>i3? zQt0=5>4@n0w}|{@jc%thg28f6*6Wp5OB@2hX$9dlusH+7 z4tHU3p4a@E^P-(REY3Zit@t%&>SgPy6KjvW zQt#{0@@^L2X=ly1@drd;!eg%97aUeAjmquO%9-WCY7o+806EQ5M@i>&S)_FT(& z`xVcfAw(VJhiQV=dGF?UI$aHNy`6kPIm}{Yf4HEbbS)Nd3N}Lq#;+aJW~k# z;#m;zAy3Ylqqzrr2hb{oxTfwDGI$MjK=;@IFv&HQQ|16I#X&Z5)hn?I32%~)?*C?; z=F=6u=n$QtUnMG}nTc?!ODSdy@+J zU+OvIR94F7anzu}M%QhXyGgF%al0a(Wp$SG)GgRx!_iEb*8BxKjHfN0zk)82hFuK@ zW2Z_dsyGl{X)PBYKO%~R$nN4fNw+a_i0oJbKhOA&oGv>|KBCMh z;~zqdv#cr7F}|UBwOsohpmyV9(Tuu#OWzyvAEX_<@#_Z;_Y2M&6Ms2Adm@}KhfH-|o;k!rL_Bk)IafjaS$i8QlLjnT zskLQtCyeh%P{iJQ`%6FHAkQn!2@`=3dpjo_OYjnl2XlYuK}Enzvs`eNYjHOlKoP#0 z?oB?WA&x;f-V??hq&z)otuDiRTLj+qj?{~sa+9Y{2Yu|>+>@a~rp`-ltzLxgRnYCkN%PcQn;IWhYV~ zhj=`Xe!8|v87O=)S$6~%cDf9zHu<-ERdtckhtR+R@f+I+Ee`Nt1-H;$%PG+pt0uS% zgg8VY1lFyCx1)pp^dXhR5L0Rpy+t zEq$MUYKxRBZC2h3MVuOPtDx7ZtVYdS zHlGyo4=tH*zS@pZd;x^o9dOQHxx6aXb%p-ID07FLy_324`ns+ac4#x|2a|C6et^%o z&E1r1*k$-nZSw_jZ-_wThqKSvD}=`R7RJ$F@@mmXtlDQ62=F>K&^E=@ctmZ$0?xy~ zS2UwjvwaMj6ENp~z4Tom+Gk`N82qm^xA25Su`ESdq&Cp}vF5`wN$$L7O}OLUc^XIx z`H`wcsPzO-ZvtXzp-WOzBA{dGmmII2$(^e*AuRkdr+--ynp>&w!;=vmS;E?EF(}EZ z7pU%JRZ|7Z-}LZNZD6plPj8xnE_ZD&dwOfao}S#+*M_*&sKG6EU%M{B>+DXPgDcwc z|A(+Q4@)}z{)aVErzvHe7R?1(K9g-~T52kS<&-m1E{&z-hK1&eq~tE5Ib}@>+GgdR zm6|D;3a(&TVD7mKDi$g#q9_8gKg{Rz{e7P2y1vhIJ^yoYo%?m4_qp%;oY#4s9F1ew zg0$7I+3w;D%_6-TJpQJ*QmC~{g6~5t(gWbI9S7e88q4;nwfApE=S&U6RQ1K;+kp@&; zCHxY8*y=2jMv6eiB}@2>lFG<=Rweoof4e-tD3p4kCYS7IOdY*~c#W~y;CAjS} z4zUP-}?jh+0e*cd|~fS(h$QeJl3LV%=O2MExcwJ!Z%G!1H&F@Y2Pn_(%7 z&x)3G&dj}dGGPx8mRM)Ae_P9}85sKg>*&_pp~fpTKGy@ZW@gxt(Q^Ne{Cdqy1x@^_ z&={e#2gOULj`pXL>A#<r>|_eaG5ex_d{}I^O9@N>G|e{804o_l~Ro#jnQQe9jkU|tdbA!&#iM{4g9JA zMmo?H{K9nZJsOdOy)oY@oPTJ~cTwvXwN=E%EKO3PBT!QAWCp)v1>-|)G{3>RS0FZ> zPWN#odT|>`#$lL9PO^C#&ZhJIauoTF-E}$V7yjol*YIvFZS&D zEZBt)wlkZhNe@_H&I(aPygwz}isa-Z-H9kfI673j-4s^z>48qeDjIod*9Z~%Go&PQ zGPjERfWdqQ#0={eLFn7jB4g|rX!TBRopFXJ!(5SfVu0|FvFVe~GL|22G}I2bd1C2N zTBg-p`A2#vD!$#2-sLZRFWgGuZ58)>HO8i*)>0O7Q$nTh&86>!Dj{A<>$HY>2weOa zK2Bb&B)`E3ys$Az-?qZX$jcmZlyfHd3ZI*S!|~>)1q4mw3v7}AMdoSxE&5h z-#W}Pno0iF<-e}+n?UOv2uwJ$Cal+;DUR$tWIQI2-*2^0+X0tjYH|9-)%GQL>-EQ% znt#0cX<*m9M}o9iDA4EFva?jkRACuq%h^&*cZ>vMWt-z3E?Pj(G<5u~Xe6ezBpQ!I z_>sT-=AgGGVTNZOK7D|ovxgm1r(z#I&lVIl0_MB7zFRr}tTOvsU*0XAOxuHsp$M^c zvr+4pFC_)CWfIsyvV`Tq8i_Gk|9Xe~KFlkv*I}vM0dp7y9wHOk+oH)Eu^~P8^T}Cu z^|!rA{NgPBDN|DFm ze(gDzuEm>kq+$+=bbe*E|7;I?AcrmIeYh!i1|?1lbe{>{sE9%mSn`?#mKrfD>61$v z;%1wUW@b1D?BGU8y&7-*sChBw%NPv^^n^TI71tvK5*XN{{NJcolu}!NlEMu!57?k1 zR1~<4F{|6ORb z7SP!qbv3gErawom5UQGlb9LnNbQ>rLZgieiwK(Nf(C1&>@S;H2U% z(>MKttc(Y2eJSst$Q8o1qK#+5c9?`E{%NBE%&)o9mxmf3P6_PE-MYC+DeRrxom-=? z=gt0@I9)*Se)u1c+3ln7lMLM)g0#hNID$Ln1lNC-Q9M^tL4Z;(X=d9xf1IG+Qi1MH zFc)hnJ>lS;7Y2k9e>l!7oE#Y z1$?&b>8WYtC$(YFxb2E^BZHvGg-4x9(T6ADJ~U5>g)%jAn_d#~t;RFhH<=ceSN&3E z`_+Cw$nM%zQEyy}DQf{RBWARZ`ibt!tgTe#ZbP{nWxrwcz{x+A$p}%9&Z=I= z0^{Es)lC_6^QwseWAv3m*eXX7KRJ_O90OMZKcpFHI@6gwMou#&+8L{>?{2HZ}8WCW&-P(|~-)U(1 z>81Y?rgZa9=HTB9j%Tmxv+q(iHxh4@-odAwSGPe&wY`5`4#UNEBymH3jt<)siFNYQN>R-HFMbXQ>U^!~XGdGW7bJTR^fLs~{v%jXEiXPGs;A6_K^k(K)ItN>WlndZtK3M)^q)NW^4HC<$ zWC)oFNXBXsA>5w1E+KNNC{wYmTy12ZeM&7?EN4bCP?XROXUMfIo6C$tLMy%d+r=LX z^?WeK)yr7(gZoCs<)f>fdrGf*$=8g)F5(C56$DS)UjZ%SE;q0AdM406q-!xsoaALW zqn{s?=}6rTVk))Pk+}OT+Un08sfa=9$bza3iR#f-u#IwX z59_VdMMHLxA9twt9HYX|t3K;Kc+hpZ@ilTBlVD$uK+Titxfzj2J?3g&XrDNPZ&GM< zeB{S@N_lEw4Vt{=+q+WRWr&GZ@&#@~gd*@bQ|7R%2Ajmjh>;U+4ozhaqK;W^XB8{> zXV!$I*`0tjdU_#Z^D< z?F>Ss&$T}J{F%6VVB};+LKW@zz@n{+)X`{U@!M}H4q#5SwVMy?bbSuva#4R+t^_tnm>kwnf*M<^mvp;53Y(tZABkw)z->2JTA7!!FjhLiOt7>s?}i)vl*P znBbG*1ITXJAnIhM-b|9;9 z5j}+0YoqJq!2Ye4-)|-m(rrg*@#~?fpR0!U0RoCowABI02?w*o<7WicWNd6NLWOG5vOL@yK1Yx2W-|o&ee?o{wwQY|OG!WUEISOR<)D;er?fu$&Ku#Q z1J0|^bitwL(=4(9@q*6oETbu)v!h(NL-L$?UAs})Rljw22j^RZt1B4tFJS}p1v)Zo z1=JCKSTwZ%PLx`L>NH>8?+Fs#aS_r^l(#!K1ginD#$BDV1=!-x)Tkxv#a=t7NWV5| zr2LUn&hQ3sT!C-Ob+;MMlpFz0*H~C%f{F*cfya8&Ym~Rw3;+j9f%Vp@=V9~W31tee z%}8bDqV)HUG-(=?(<5>o0wDHi@fJD0hx>ekbV8}c>Jsav5|x?sGn)NghOB_CRwQkG zEpR+SU#qQXRRWi+ZTukGwnq~>uX^Z{)sK}@H&JUqK2^g_sp#^e=!5SKz_7Fl#D#C9 z2lwvv){N)2Kw^VB_n&VI!!yu9qj!YtoX>2j209}MPk9FJL4K5hdr^&BI8r}f@ z$35bOX;JGMV?$&J^rHjdZW=I==5qm|&bo{@t@^mLF-9G+NcuBe=2I1OOnv4GA}6h< zS}8jrf+-}}=gfU6gLx@7f}Mk7XCcW8`^&6Byfx7iRV{=;r^xh}mJ2DA%yff{z>T-I z)Je9^T510FY?IM6a+8U1Sh4rf=$MZ1=v1Sx@z-@t>QA23jsDJcPCtD705kvhysM_%%e|rGIYx_yM0UwCivE4ngdoX!Z zNBldJ*IHq^tR7S%LM7<}bcvGW9T@U;eY5|7Eh{9D`PuO(UIRlX)@0Z8x!KSt$#>6Z z(NDKqi~DEu+`q1%bp<&lZ8mWUH90on7VxnbgD}*`vqskf^V9Mas2p_Vu=aYJ$!l)((?424c)Ziu-v`->)Veu`ZBw@GaEWV7H4xA37&om}KM8EJpx zLURyP7(1BZQ|G~*W02~7mM4ZIwZ-K9qxDjv!z*L*ym?(|uJSQ4N{*)AGgMx;7u3Kf zm*tjvee%{c43;u#%+(F6{<_&c{_f6*8Y@_h>uvGPjX!z5#EBO$!o4@yPjW#k4C%Fb2?bpyg4 z?6)P`xkiMX_DRhW4vQjM}rh(l-)qOiC0;>tDoPXlE$<}Q_PwuO+so6pDHpu< z^GSf@9MIU}V@tHX*KYRb4-Xl|>I8&S@1tz+pXxvdx7yylhkp`?oegT=cvUqhUe z=A09fNXrnT%2oo56BDT}m$`p@UQv6!+Jh&o#MNx?vvsWQmgdLK6cR;~gz#K>Zx=%d zu(@4mg;mlkvQ+$2>C}W7meoba0hLjTiQ_e1LhQ`Vh>>tKWw^%v$->5&^idsYn^1&(C9E{LvHqq=I2SgKfkUkWSxj2X8ADVTvZxHCSlt1q1~SciWGiQ z7(@`d_)70|+)2uoshFYS-kKSQ0e!p``{Xt7J-bM``kI~Ide8ppnzZQZU2|t}aE$H` zVXgG>%~sxc;ir9g6m_o`Evi#W-h_No?}S{`z=Z#tkG81|ir@r5%X^-#&Fn1{XCFZ; z*$QJtoBr4#(q4ctt8rbu17s#G64RLZBM)hir7$CwLB^;~UHQMH^i2_U1i_Y#S}vCP zQ>{88pS;|vAXLK+*333@ea#`-d0NqOExNtVUKA)Tc`b{Y$DWsK?&Mh=9im+M@#*$t z!`hGOLKf4lbdNBlXRMPn$`+z-)725?4F!RE!bzmFWA{VMQew(g* z`#8u{vad*_OvZU+_$p*eN_4YQWl4OvquYMbKoMD6A2HcP>Vtmt$6o6K#HTtyOjoch z|C^z~;2&GagMA|NP4rUqTSp&Z4e*BgTB5@%d||8E-30{!ou5z|xjyp-yh;5EYGX*c zIqwEERoLNKt^7tX19v|*+Jihz$@f8DYAr^&d@pHL^wGfjrJcx*R1CrlqxK%wGm5P~ zmC70DtiLC)`yRkC=mwfIsC9zs}rkVI!j+H=e`qkHN;j8oa{TG+ow|>eudh4xb+P`;;7mGIOu7f)i*ts(0 z=b4J!`2Hd(3O1X0^2;hmoJX5}-I?dycikd%Hqn#%2%O$m-(+>o7f04wu-+#J=0zHPr= zZ`jVaRRMO(Ryl%_dU5S394XxpE4AUTz|z-UA{{c_q)UC`2_Z9OIhUcj+SBZE16e1&buu{aI@ic}UbTmmn=wq$({!3~LhC5HIx4kCFu;D?P ze@j{S3JF~>{Cg*+{>b~^E`bb0>3$|PuKG6HZLb??bp$b2*?}3ETDM3k^G--wEE)f+ z+``%h0X=%&8uK~>tq!WbRk!6YBIm`d4Tc5BUcQsrBw1l50bYXlzzG(bKio3G0Z)D9 zi>i5jl%$=?%~AT>v1t9bkbc9}w@I@lZ%$-GS@2Daj>qO|->+xdcIIvQ{#OxfpfV?9xmBap?413FEY2Ez zw0eMOz#!MB_WM{=uThk zlS`=T&%*a$2W+T$!cXU}ifF;_&*)_t5tA*>O#~Hw9qpa)N|_eX1qAtr*u`l@?9#>; zMb%W6!jy^7?L-aEr3WOepIWg$ZLiA>Y-Z1o#L|L_26Q0b2kG}JVXu+R3IwB zt3?w+$Tuur7|IX7`D^SspM>Ju^y&2Y!ie~?4S6WNFV*RxyZ&QYzm3YsQV))U4r|yO}#`(uX zFa`M&m<#p^pRKr?xoee-dtKF$G;{65g~!~DUrPOMiihIoldgrUCc>q36=4o|LN6AA z6{j6y_b_kj*8>i+4I;`PQU#m--e#OSsu{BN?&=*InYZMF(<~Q7Wx({Npz9>oYxO@| z7E|Tkc~D#$wA{Lw`eL}|Z-)%kI0QM2T#AI%nMa(?CPsCeHxi908*3+ZoLR@VQ)m#q z2$-xS_DdBZl)=ck`#B*11h7&M*Tbo|m9|gSIIfQpai#>!DgHN9VJ@kzU6p7qn#9B@ zeEBBe@nQ19R5%?DX)5D7=vwR(*ptAa=HtzT)+E|$_6m}jD6--<1AQ5aRR^znO43HB z@P)J*$wc#-gsA0~*AAk>bMze3GCJNj+AE3OTWacg?PJZjBgHzdu`QBA9K;7X?8>af z?H)RbgAtSx5NsrtDHFziM#*VJHik0k3Tm_wfh0XX-OPI@gC}YUezIzKgjb8WZ0$po zuWWQhIn9?i2wkgo8!kB<7~y~(k#=wYDdTLiR8_3(j(7agl3HTV*q;CZs$&^5-nMXjM@X? zuWSz-3OK)yOQQ#Mm=YGucUlmu>-f?HFDM>cwoSl(3gH!L>Ya|dF*VW`(AURNC*n~YJ9c2`mZyVo0) z%L=qndDIeTE6QO$B&ND;V3hb4@Xyr=QQhUlS0@0Gmez^VsuX41`J_h>9+4oWkCReTGs&wxWmWv^;5Ng-lT;FL-VNB{oZksp8-Pp3 zR|LH4SFq?uWVBB4u;)*zBr#K@{7~!ad&J7xddxnU`jNPHV&uMsdQ`|K5`hd#Hvs;Y zmMDKywOZg6IIq@X?dapUEg^zuV;0R{Fb7WGwnGd*&3u+3aPwKyu+otm0HzXoB`)Yo zQxr97w{Ki? zUy{B^Fnu2}V=PVvedK8#7kkKs zk!g|qZ8x4+XXh2L5bj~F(fzo8>M3Wfe_EY9Ooh`FWYEjj~B8xM!A)vb(wd(n`)w@VJ1xK09q2}VC+<;M*K;sO`-G* z_ZQ_{a~Y-U90VzQ79!bz$yx09F^rf`d5;;Tq(mjP6DVYPeIF*anLD!jsbGSZa0sN(mfKliXgQ5KKL0JeqAzWk5Q}i`X&TbzaUpdpHHXXxr+*_tDE#Bp| z-Rp|mE|a{;+(Jda%|^spXX%BH6;5%%=NB*2t9WB)E6K9%msVG55t|=ZpFmyHnw{HK zY@fWrTYuP>u>GS8x?{i7wgyIU^#!P;)h4zn;@zjw;S@R-cbp1rvG@eZr~ z`A5(=uaducAlEbc2mF?RZdeQ^^M{%qD@F-`q zlw?MVSeyI45?03Exn{ZC$1kXBSO~?OxDVlS$(b8IyXj3gedf zEej+RTbnzAv?0b7#V0m%myt;2B#rT*1I_%p=E6ioohFNc3|0!4Szp$&n8f%jnjl&R z4@UivGFt72WEzv$;*aR^B=f%8fWmxq;n{o$oN8+V`{pfF_JE-SuplbaHjDLKJ1=4{ zK4B3{isR+bilY2$Dx$@idV-qjX*XlMVgFMmL-MrTv@fo-(9XZF0(Sw5q1yTOrp2b( z#xLOI(%*rP2`RxWE`f#ou4+T3J-mj<8bY}InQWx>h@5PkCsczXX}+t}zo!`+_RG!n zlN+7psN4yeA+n2Fl6@AL%n^MBGjV>=m+U{Ji)3?FDd?UfCwH=OSyFm6U?sv!wbbpO zo?QqB;3iiSkAFYeZ?Cfv23&cXig{OH^Zw(b`n09CCoC=up6n*A?h=yhNd*yb^v0sF zDx*5QuXW{tN})T6UU4I7ys()b=NFwM6|3gW?*GQ8AeWGR&C&s(*x4KjPD&1LwmGdB zy}umEOj*caFyg4sO_&YDKf_xoKk;VDaLMSSbA>QqTK8((DB{w>`$JmGUXo|9u<@u- z7w#LT{9Y`Vpmc9uFQD|tQj|SN23b^()PfGt9pdU@R}?d(N#Qb4)JhpNQ%)9zjgpr? zbKl3wMI$<&vqFXd)|1Mdhi54tB{fmLYrXfa-2+r<*-Xw@rusV#s(SymDVA$b z--%s6hwQ3BU?3h_0l(#=Tqjxy^>GRjQ3QjS_ZFZE)<(yMT#SW1rP`Q?q0;t33M;Fc z`fG-9mLl4B?N6kmBrE2C706oB#R)Fh$J*u-fa(5n)9i;riy@nxVaCOCo2}v=hZZ>+ znKETRhDCCXS8P|X!hw#fpp`C1a*pv0C8GI}E@jGTup`KHQzJ+BFe)WgzFUNK|Ngz! z2%nJkZ)nKwFHkAppKVR3xmsp zujUhAq*i6!|H}A%CujS}-W7xeHp^vl=qeLJ@28!0uv-F;Dd5HwYe!f@03@PG*`g(= zbyX*rzJt0aP^VW-JgWfRw(RG@SB8dfKa~5P>Rz}z+ov(&eK(3+t*mbJ9{p3ZD(UW7 z-*DXyKfJs6IZ$cWHf-qwjVp zlAUwyngzoC=RiaLEBXA9WlvrP!Nj8wbp*n;vu+Al;XFDrMqWvvkfz^=&9?5wqa)RBkvSrapNttIxQZ3 z6K&h!zNZ}TH!*5_{j#}gOYV^{q@xt-uekXMx5T<{nn+WJb9=6Wq-|DS9PiHJ>f@}R zNTUOs%^mgWoukP{D6H{z|Cs~}Ttaom1%5PS&dT#u*K4DpQM2yJPOT4r=x}E_DZgrJ z;I_ugYE;gXuyNn`|JQv=vl68e51W`V8x@P8<^oz?m)8vCr;e(Z zbJhFOrXQ^OWQF=|}um2Oc-@P*@tnve3#2)$lEfE7!$CnRIy*R+hyL#tJEQ zsQ3%YU9fkr*~ueiq%x?u=7@GOn<682XJ{uZT2!L1LlW2}BLE}4W4naZz11vHebF(n z^;j6NO8m~EsAl0vS3a0O<6JbL-!ZtY6QH&0zFpu)vVu4E%_qo9J`b+y2pK||oo7tvMO+q?{{!6a!14^Un%HI%Wao|zLp{b6*!VSHFm+O4P?Y?#2!HsF; zRhZrH_3DG|PJ*o|iDRAiSdDtKw)AVD?OWN1pd8h(Sd&j#tADv+(}q}*V>Prz)|orKs}`WOjn^JH!jZWeHR%wc zW$dN7?Q5$W5ERtX?Sw$k-~wGwTfH@cPgU+75zg{h+dLa8oRQZS}S;aKQV|!d(rRqU9y3$bQw^J6xz}+6Mh@IZ3 zj^)>!qf7B;aOEq#tRy-)tLwBLC+6J5Z}}7BxB~j)Ad9)!@0S^gOTRHbn^hUd?usq!*pdkIr0IGa@>;f4#)EJ%9U<-te34fq1jin588#8T9C@XrD%=U?~_@hH1A+K?~2! zez@NBYVsNHyB^jpNkC|cUY`>`@!XwidA4How8R?!?O$E!OO(h|yWoeDDthAHzmh=w zP;Q~K{BdkF`}0-(bIN`{B&~o{#}zHzx9Z67p}H7AbIObzhRn#)0%V`VN+d&v2{Lmq zoAxz%^vn%3MxX`ZqTc((3=doMrXaFRVc|69?m;s`MyLY~e$QBPgh3R3+TP44i&zQ; zlWJ=HYHCW2r()kvl4b+#L9ZDfmmWOyp7)^@nicxjO3Cq^GFfSoT*O@2c%Jp;2A!vhqVXpw5Fb6OP$w1)6Sn2rn+R zI6HkGzY zUTLgXUVl<4xtg)f*pjx@3fcxv;?5r#)f^+Nbvjk4C%Q_p9mU0SJl{QUz%7>3HJ3Zp zA*|bni>3l~E*5!fy~9(`cApPg@Qrp62Nn2@rwhPLIAVLd?FCQd8@wgoaxTb4Rs0pC zCqkB-a-sCJpzcLLktlC#D=ml2(LKn>%rFc0G@~>r*@!HctWxbg2i*T>UB%V-n@XoI z8GTEAHcuKoZy1f6$TiAnJHYW*kJ2>eE(4R5e4b_!_pa7jzC(msw4n0{uwHZCxkY&{ z!d*W7SRH=``_r(B0mZsKXJtN}?w`GOD%@E0aC{d2ChE`Y-66OS7L|kGu~9I{p8Zl4 zk+-P~MjXG6N7t9(ePQLacIZX$Tqc|}VD{qIZ6l#@^K;;h;r#mu@TRG3!Ko5*-fDkP zPp7>bR}Q)lB|7FAl=Z%fUCd1ehv!}jX}7tr#-y&wx2EFeo--_j6d|>pdf9#Ln}^&X z1?LC)1MIKg6_sYtB_0LZqxYd(+*trw%_xo>jog6I9$R>d|8{W?Pfav^S%jS6a6E#J zh?EmWnpHKY1nFLyuQPNI*dtoJOuaYBwiy8i@SJDhB=*g}b4E8nXt@A;LD^7LQFD*x zd+C{|wN2kWXvBTgt)Ap5FHV41k1Hi1TJIH>xx-p1&phBH^MA)2|ZKZ!(21w-dB$35lQ4(7p`rQypbDD zSw6$fqbzU+6>RJ`FG~?t{;a5w`YD;Wy^|oDg?Gmjl7~5}f01`4zmo>R6+5{_7(R(a zk$=XPw*DehO*%^{#?Y0kySW+Id9C-aTlQWvxTW}nO}s)yLp_Ywfy()GZZnzBU>xzE z0?V2}r}~)4(N!uUgHmzmu!W^^&d6t{3KM}2KQ4E=J{6H^E@z`!RP~vJH ze98J$g@tPG8~-PWL9SYt3A(^n0~u15(Hev{(QPlHveI z5=YLyef4M+ACuvBVl@2YMQq7faxSPY|KzH=mY*_ibu``*r!+f?n-b@xfe;d;o) z-#XjBIhn-O*;@;V?It8r>t0w?*tyPubX!<7iV?L^z#RargpW=sU<_e<9Ld;uIWh^z zMftczy!1O@%x`%A`qsylsoF9wlVomw=k3-APw33CrRYf=`Hub5jlWGcVa#`qMMs^Y z+Ey>7imyW>?|eV=u*R1{zK~4qnyZLW874S+0cFWPu1d z66Qh$=58qg#}$g{ER?LOrH#UNz&;SSqyav?9FB5qy`Gw1YC-%Fe%F)oSJ2s9@%rbm zUjDmuBDa~o%GD#KL>^prSG?DN2xLF3n(@bXQOcx?VM5GC>ev-C=OhQTOi7Yu~ zgji&^>z=rA1r#hkU~lO&_rp+rCZM@9DS4Veey&BKJtTDa;%q(|BpJWct|ZzErN7i* z3Zt)iDg2lwnv-2Ss4Wvs+;}OAYsfWb07;@q*vN7ujd72+m0e#`VDBCtTwNyC-reNa zEFQsNd0ly)^J+0$5FLY064~22oGOj}FizNZ@PMM!?I0_?1$VnDW>nwNC&r5T;O|0_ zVo6E9lXV+r>D{yUk@_J^q-*5(2+o1ar{}nB+#<%T3?pe^Su{g1ryL?i8ue1HzV)k0 z%MaMCr|+{nWz1`LYTVIH&%`q&mvm0jkP${G`)ht`LUy1}Z)5fDX`=$7k|rBYKDTF7 z?|JNfw0){5exC<0|M^RT5C%Jnmr}4XQX;sarx=$N< zy=V7x4E3EQcz06FqTBh~rQm7(0ol=tODbcAf|1JF-b>}B7a z$c=Z=ih=NUcJ>1h1OPEr(66+Hvuy}Mh{P-P6701I;P|_y$ z9r@uEPK&4-@)_2gpAmEMsoriD!7hN@8SY#pxRoh>W4n0;xo&k5?6EFLI~Fa^R58`* zW!D2Bha6GoQ^CSZn$tbMWUDTQ-m|GtRFm|EVF3_Z3D0t=4uT$=1nN7 zC5%Q3iv92BN)|mvaX^f^-6*PHaE7DE0FKi+%Ir}4R#yn7!(;N(8VY^gg_V4xL`1RM z;ENQ@bxBOw$WQF z!1Q``G`>)zN^yAuFZ%aWu%k+-*$VP-K4p=#dCkt8e(A?)hr*5_0DId}!LZhUw!ZUZ zLy_Yd2b_9`A?frpBGq3jLY>%cg?Wxy^y_u5lGlyty875*j1bD>xXUK8g$f9TYB1(G z(j!ii!$!Sl-4}WK|JnXK-O>}>G-6l6W#`)oIgNxP-ChaYc@{p?6a7Pw>l}6;xP?5=QC@(?`x&ly!3Pz+ zO2MtSqS`{f7lVYQ#Sy#ADf?6r#svF)maC;)(F-n6^1$+kLM!YFxSk-T6GADnbCj`^ zSu0csK52sG{Al-Fuu)e$Oz@Bp0^`YW?t#_@5KBpKZ2%(i_YQ={WR3vX&N93~l+B7c_NtL*sRVVS>PA zkCU6}#-Az{&k2Mti+aeKyRH_$QES$A(@3o;3eaLj!B{MA>1>4yoU^x2YYtz@HJzH2_n)cjIojT&{?OhAOlG3(wW-91&Fgc zLt9Rv{k$33?59q1w*LyURY3bx75yi%OpNH2(fQTOgkMsq_n;Qjj|W99Lu?{Lox8ME zI#k#D#Q&N*5w-oaNZW^ zpZf$lUs*j;y6tk`pVzmk0hhMxLD8$X5J^T9i;NCS=V!;$CK}w)=A2vJ&55&AttHAL zqB^l4J$idxW=WO8%ReE=K5>11NNeQYQD&O~xg()wcIy$zkPqK;_c5J*&5O1>{Hpfq zP7Y<+UXNU`7kzRhq1nB$D)kc=i)0JD%eeaYd`+*LL9XZ@X$w3MnmRsagw z8SXb<51^a!$4ENv$WUIu0>`&JV*vhwT3%C^L4O0oEQNu>-96ca#c#Kxks%wFUcn4y z3vcGkLG!c2!-*4lGUcyt4X2Lv>uk)aL)#=v4{LE(8>=m8cgxK8m}4*n_baNu0b+a? z9~*+*g9R2|Ra%K=Qt;)Bc~tpdM;EUXIOkkcn;12(#%$`(kUwQkR9bv*dPZz_yPWaPHL&*= z%*=^E`iIekd6YHesgyEGbNB<3{&>zvC}*l@vSYu84u(J9+ou(}kOUPeTcH28`F|sQ zEBqir%W7A$y!gXF5j55cZ*{Pe?x|<%e$_iNOi*20>V4~}&a(*Pf&0?QVqaq`} zX))ynA+M}UVt(qUiIa|o?z8t3yWeYsahVSgP5XAEUc#3-6lVtUh3Vqgi|#6Rt&?RdtC{%m4k+e=iY362I0 z{blqMaLmN4rE#&T?7y&fH5HFk`!}wpr8pXw3mnBi4O!kHN>s(*%O;kb5`4a=2$0<4 z6V&z}!z%7HX5x}5Q6PXe6EdnHFnZ1brp#CAF=wMTJqvgD?$K2i1#XP28YFFDsjmx< zyRP5UAhe9U!cVHG?&)_#jv5TQYw;~eq)&2?1=LA(OE8)))^>r&9Ot^r@R2y`W zIS7(1s?{HJFZe6g^?Jd@1DY7q@)wKOF@5mak+ky%x6d7iCCZ0~Rn6M&uliUNA;qHQKm;uZaD!;+nx$z5aJw%KSyy85U;`oh!2N+Hz2s{!e@M_CI@H;I*wH zyuNRKf9C@m5N*wTR{%P37Dj8cV4u{@NG^?J&8=oV43K;>+Mbkn>y|DL=Af`p{LP=0{LCAvj z+-5AD$4MptpseeejlF*fHR!_$cM^@lUCv!JZYdUKre|6&{>DhFAf_Dx7cHT#I`_16 z*hig!-#oc|D6*LPG_VweUOT4u(pcdXX%rbTCW8E{Suoy~V6uM^5h9vZ5LQPq5`*XHN#wdm?I0^in5 zz?+EBb8v?qi@oVT!+k1jPFZQTdD>>%?Mg+enz#pS=6?JmFJ&Ln$Qk{68b7VIQ4L~4 zd}|R=2@1pU&M%%c7Fj;wzf$GF22~Tl|L*odgtRwq-gD*-x%c=G0%7_Pb!zxh>*}My zzA@h<%}2j{d~CIB)vcG<(l(nXiYXZK{&(MfBWOD35M0l>RpFj6o!7B(Ytg9`xV}>| zdU>Z6bKptTs8v>`%*Y2b-|Q9AQKb>$Maw#G>tg>uOZlfm-5)<}sZ;*`l_^GWg7(P# z{JBZGBWLQb#OiG<9+2`5Fb1G)>adApTU>LBI9OGPsQaSm*y76=IXK-Hs^r7nXYWL{5Ob+$_3wNr;?#jhTSiYClN2!p-Syp3r*i$~ z zJtq2tieS0*6|zaGrO~S;q^tMBFiM(SdG`wIDZmk})DUFF_QBPXnEHK5O{?D2lV36> zpmifvF1KTc@Kr;IhgP!_z>Hg0Z1C#(ZjCW}w*Mn(;Pyqrzy1y^u`s)#troPHlq__` zx(_4nC_9=Bf(uQat56Owqg}v+EDHXMv28`Tfy!pKBDghF%Sf;PEU3Wt@s=5oGcw%B zJ?NZ|WHB_xVW_D-?Y+&UiTlWp<)}_T1wwtM5|e6dnLG~XrS!j`J`X#Y%YjkOzvoAY zl#`=TcFSL$>{6kMTHMuw3Gr95^3@>li!c4=IS?lY>yc|Rp8n1HsVmIz^0l{!PrLrH zeMLXyzi#pWCC4z7e9q_JS`5n5Or^7l7y{qrV23`uy@QR|8P(ZZ7XGfYh4w4kp^URL zFWEsq;YrM3?i7WiT(s+f$9Yd|N0gaA66W|Szx6FBU}`b>xTM`(nCumx4vf{o$QaS5 zUkveL?_P}h6{Y$@{e}(Q8fm%cm!9Ivv>fO7EE_ED1E0Y8tKri@k;B*~exBFlqM}H2 z*7%|2K^JT}H9 ztCh2EPIO)F%_VmpL4myyA^%75q1DP%<$oy1{|=XAPK&Z=v;fNaUOoyw4D6mg`EMbI z3&TTN|HlzyT=sW~l;Y2iD+x{O4AZj#n~&99>OM7h=CaoJJ-@v{Wo>yw7>iI<**^De zs9oU#xKC0d_JzNxseh##UQx?Dw4Lsje}c?S;!S^O;rS-7e%`GNl-)n>?_a!j>cW^h zSU(86&5#TW^mcFzbs~Q~8E~lx+O2mz6T879P+fgw6~7#0`4r?$H`e?OwF60nM*Qa; zPbb`irlERb?cVZ3G`-dGs5i*|m=3MFGj6>t_kM)#dsz)jB~lB4frXE<#;$Jtv+#V! z^7uR6 z!DchbUz;Omwo1E?e|h+&>3HrB&%_%e%PIyqW5grs<9&zAtOs~hhR;Jm;Q6o*nzl8S z)pX6iMB~>T=utzheRmO05^{rac53X!PdHQxNYStw#%$ zI=1CPx*D6-P`r5N@fQSvf{8v#)6R#@(4EkDYT;X=nlb;I%Q^ZT|HEP6<{w9(k}v@9 zEzmtT{0B@`)NZtB+2JaT`L8e&%elMi{r1jlsmYS+O6@VNHTNa2WXqtwXRFPJ*^d(l zZ8)o#nU0(aJX74L5Y-bLEa!jjsJhfz^Tq*U4Kfs*h-dtX2d<{tMtp=q=SJM@6AbL0 z3r{;}8^<>+VHGR)zh>I^hVM2B@y74S=V)L@x7tF7LLicvdDgPH`(C&B>6+FV^WhNz z1QT*~Gye$Df|uIsvQmvh3w z3lTwI$$EoQXz9KQrDI66@gbkP56coV%!0QhMJ2(%A)CKSt}eMbDd(3>WDjcLvQ`vf zy9#kxUwYO4Jh7&jNgKo-d|x$4gsKG z7OxW9pp`c_*Dd3)iOlpXuVPJUx|xUbsEzA+EW^&Zpl+}ajQ=aNSa`UihVTnz4w!Ls zzl=VkKCl$|2eZ^Y3elvx)L8-?8lB79!~9QJY5=KHh!>M7!W)wbd!t1N!FY4Rws?Kt zj?tt%+@10l<>0;3cY!V8t85X{Yr2$TI=>6Cq@wd2-ig|ptq*gS@8#Y+q>-C2r)zmu zkbOOILK1amw6QkN5yJrM3j*a|EiS&hNuXO3@hWCdDHhi|W!Htq8q;UTZgDL#5(|HTZw~!+WRABi%+wX)+YFF2{(hmP54?waVkqoE3<01Y-W6SOD)mWWqm@Y`kTWBI zj+fC#P2ud)1bOio4WW4vfTVSJUQo`kirMPdt(XmDR zxbQO#33MSoqw3#ap|}i{)GYoT?6gmsdNSWQRuh}5CpebzT*(%}e3r8!htWw{jqR#< z>wb}V?i{W{N;g@@9NFMqH<_iWDQ>C$J~nwPSfpAj^ceXtH(XXe^ZAWFFXhDX4Il8I zpGL<)exL7piP(6kN#X_M)L2>=L|5+Gle{ZRRbz3Q3q5j@m1Ym8a=63?kDzG;7_c~r z`_OhjWX-Cr;{A0MN*_yBJd0#K0Jy)};F7PqnWn3(V&r-#L)uL^HHVDm1sOsHRNB+h zq*vdh8=AIh>3vXcWk~!3RG4@L8nQ-dh~;qFcwa3}&XjLe7V_HT`-nAnH;r-$hToz1 z*n@zKR*e}sr=K^9>R1)@?LL`&Jo&oIWjpf$Kgy(;^xNOFb|Q++T!L8!5@ zOotOg4iQi^irwPL23Py^$mmUX=hlD7wpf|dRm2;hEK5Tqyv@#5noM?>5n#F&+y8U@zeb%S%DKkXb3z|qwdL@9h zxKT#XHGSGc^l6L6{HpqD@sE3ssMDN~FgHiIomSTcMA!$4yg_Ps>w?5MD378Q%TMKM z;V}7y*Phx&VXVVG*6JV`y)T$MF=xrz*_4>Z6v1bGh?yfg&I&QKY-%S%0M`VN0uR}T z^_WEQ_Y~`3={e9(V}T3<%PCQVm@?qt!nkR~hgWqw=g{&!U<+gNFlJopnWy>iWL~O8 zK`qSz+IDwKgcu^YabyhdFY3h3Rx5mWqzu>n;wOxmK%q^H<7SvSy}-b>4^K9Vx^>P<}yd%UbH*jS-&RV?d_oK)81gZ`;><$0;k&S&r8xAFciXc_kNU7R*yM$#=eBE)TRt(T^KEYEhxYQ%esz|YBl13QcA zR}S8`>@OgNXR+9@9{WB19Uxqj_RlR$))4$`yv*QT^2Te+_=c)nB$Hl!xY8_7t=jM# zc}~=sSpq+n2IK|Hg+12f`UNLmlJClVK@>d(-&A6?spS+zmRLYL64FH}cLH;G?8s-E z<%4$Dn1=qw9vLnE##4Xi`Q>O;;7>;KA~?RoMSgA2{4)PSOnwn9MOzr@S}F;4&p8Y~ zGU^aJI>{%-ju}Q)>rHPqYtPk+FqpxQTwT88r}FQd>1NJ}g4g~j?t}pLXOn8wO_h^a zH-!$)9AKsDPVcM%Ix4dB69MJQBop0wbnjGDP^H^e@TFQ1sJGmukXur6V9O-yYswiiJ z%Vx{TxZ=ioIR$qk!A=mP$CHcYl%DDdrhL~@w~rIeVjr5q;})Jb4z}EhUnebeFE1oW*7Y#d9njtTTE-$E&7%Uxu zh3mDCAR9tZM?8HWF_qvZIxh#(I6h}Be(*R>um~?bFEf`b8NHF|V^m}^R6&ZJwxdlF zlip-9xxoZ@cH^#QoH5LDaf8>?*X!e*+U>eYF4nrYQrG@KE7t6KR4fR7dgg7$*%Smv`Mi)n?==nS-%4WT@7bHFF!wB!tM4!WrJhIFXl zX*6Nq3ClC4;{HnG3#+d}!uc5?@#=UYH(Bd-SAWE; zZfV~Ueds4KOs~riASp0TCYuGRvcHPUnHtFUsZ?T`kdE^?LDzr;*u3 ziQR&)LX~#0Lo8JFaGT$Lx;eVk;T$>%`5DMjL)&Zqpy2vA z$x&X>=w}>Z{AfG`N{H$FNmgxx2=`0PC!W~#zGSg$KcpMyA;dp`8vKi^+TJO8p=RLg z0ZxmVZw_dVt+exRv~jPa#)YlMYG*Ob=H|q#5skT9mUXfE<<}P-?u|Gd#|!3Lr|v72 z57D)fwk}eO1zwNZ~%7pgr7kZ7g_SeohAJCguY>Mdmg&Jye|JOks ztHJbMF-+K-GJrbUa!Y5|i5J93(H*ABO9)7}b}`!*BqLE9)=DWl62Y2rZPDvNFM%$b z3k^zXuC39HtA#P^#9)D2u7oLx&xF zNQR|S^WsOZaG|mjW-vSS%TV;MOJ(Z8s#W23-fZbtYqwiBi4!l9p&Z*Up#XG*OIW^Z z&tLd$;IuXWb;!WExI@(sw1EqdSGRQ>{ppD@8KhK;y;AmGjC?xDpd`Lzt|@oG%%(IN zDY;H<;u2Y58=M^`e;csFUU@7ffL3wvBA>^2#5o)<&dTRVB^crqrp8rS-UqPw2?eKF z07V(+;Twe;?B+P-PqH0ss0ZjR67Vnhuwm-Jqg!O5qx0O7l4d}}Sljz8*M{TOIWS9) zpvd9qy{cm?Aq@|q(@iRed~-WMrlL6K9sC$=%}KSfK2f*n@bsX=_%XfyqoH?FZGVti ziVc$+sdEc%H0degrup~vEfTfW8+Ev!KxlUXNRgNvwwE%(F#CcQ#i$FiFC(fc6}vSM zIkOzo%Ux{{w|CJ4vSXcM0Y3A9B*pfz7N)l;u{La&VgC4~d<$Fq=5Np#to1k%<-V^* zvCb0xQD($|li&DcxH-R=ZB}d!o;g2jemKKr;Y?b!+B!wKK@gEQ=dABAZ2qI}`DHD! zFc0KlpNXq5_^fch2t;OcFCXlkyZ;Cg&Z7+S+!@#yuvHy>+;p=GcwC(S(OzZvt4!BrM2sk2tv<&2-KD#mg44s!dz=aK z>T?7yQ+H8RMTRil1Us4M%@yY;uZTRZONF95Nf=BvYC(Rj{>t|L}bn! zxM*v{;QbF|RypQ}J9Ok3F9@n@;*_lK5o8JoSv#M(_Z{!~s{pEPW^xiF=w0DvRVu%4 zRo?kmpJ}9i`6?l>;d1pt-s_MfI&Nmo%KGXVb7lU-mGcS~&Q;n={aV~}R@czPGcos$ ztmLLgV41e!%TBl}2TzMW9SSC}eMi%@;|Qs6%|y_~7pJ&b;KJ~`U)$ltN6qFbOR_Q} zb{7V(QKZ6Yk_UMc+EXyS64^CyF&gB~SK3S$y&2iq>KOx4m0!i*K*9dQGm;44J zwoK<($q;-4ggY2F)bdz*nq3WxR7i&O17* z4I|C1GWLCK*|+H$LsHO^)pwOiv;{d%S~=sflbi0U#q!LXoH{<05(HZtgS?1jla&u= zmK}d=o&l=dL=E@OXjLC2IHF(31!`Pe!X-^IB8Hi2qnQguzSMQbHBfCYe`bgdP8g+E zrUeN+_$HR`v{RBzw<-sfWGxS4Y!N&A6q}^`v>S&gT|38uT}g+!z!%8O)gs@j0~7+& zr#9so?)rz2sCLS@!n^22>4D-prn=@~SiY|2suCn-UlreQBo`W3&OtPBLB(^rai*fW z*ZGJh)v79bt>D7UWLofPBQsKFueV@tBo0O=cOLxtXu0`tLrD z`E~hWR66%iB<-up>GpHn3vfHDgW8{D!eYjFR#nHV=4x4`?REBY!psy z`4Sns(U9ihE;t%sEW__smooibC%j#&LRvR5Bu@O8qWeeT;oGG_oNgxsH|`SiZ!+^* z%szdJu49IAV6PA`m=#2h+M#%nQD>K4ey0BQ2;mIQ3p0>XW`eVHmMvF8TwhktnU@lv zAgkrdzI)$2!KZqcVm3e5sN8ek=*q2Hv;PBa0D1zR% z2Z=uJ=y~W}4H5iem>)QYc3sq!TeA;xM;94l8Q_n^>g1sc+ADW6ynA_GE6i~jU>eqh z;t^h9riD<jNDRZPXGnp1oWizh zOyGHi2Jp-wHEEHe%n-9@7A2dLq^_k)aZL6Rb^o60C83VPOjzEBGu~THry>u}UB0)y z4<%ch_dS|4;kp-uz{#P%kw{S+#GiO(1e=U(X-5+;XxJK&g$Q6oM^AQ@oVpCOL~HUs zoS@hgaSp`WOGSTKwjXD#D&@8i^UgN;M^C*E2Ow?gUD`6-o;**cb}30s5$wYmrz^7H zScVOv13${P#q$fT%c((ZIQeb{2&B7)eXr6YavG%#l_U?A@NJPo7ut z4qT9nbe(2xuj)&^846TF;8PaGl%YVCnNmr=;k?#oIE_aM8P? zJty+$6YWPUcMSYtOFTBTzpyKLWuCf;W$*H}R^mzq(|aqQDk&(uu34a!PyV38_Y)$H zv4e}-u($pwH)l@BpUskU{uC;TbZw4j?b< zVLNg+M3M697u61U+mZ6}WB75}?Rlz;3_A491P`e06nu!stg-^Px169_Q zw2K?+n6Z?zV}&DvSd>Ip(eAyKx@5zwtzAfy7zxwmp&ht}eb5u))2&px8+`;EPkT0I z;CTjBsW*MHw`6j;cFXjcJWS{k@vjSVPeKX<2ad~GqxL@{gRiGzzfPX_htlF90Gpv8 z1mciDCpb5;o&qd9^X>a%O8NZ@N<~YC2G%a{0XCW)(&NbJ##Qt>j-Yb4uor&s?=(H^ zQ~cm|EuZ&3s2bp|Kzf2*r3y(r4gF7!59(1WV6CG2U0_$YNZeEXeJC}!M;g?hf@O|~5kbIfz+Rjp@E)}2X(!U*;*zae0RT<|W z-x9xLDCuYL`wKEE*Aw40vG8&|@o3`FaViBC-YS|qcu2G)`7rRog&*Bf&u*7ek&3+x z`51mN9v2uZW-mzf%Udr4Baj4B9FuH3mfG~(8BH4(!y2Z9yM=^peBWBYN$uJU4{@2j z-SJfW-0M9<=d2pkpj)c(L;A3jRxl*%?aFrqt<8#fI6rkE!lZRg{sx(T3 zvMM=-AD7>`0yRT{}p{KRw|r6yR4vO+uzcCMp5WM+*6aY*c0{c~1esCprRk z>T$gHu>XAbPYn-G>}B<@ zZ#1?Ej72P4Bha4a#J?Iv=Z>eKJdL7>emR|G%WChn3*!IauJkdV&m7fS1!fEX_ms0x z02jDu1dF5-b zI9KNsT=!F?8qHPn!*yk9AKr(K^{Vl+8%<+WJkZ@TaB}lbc6ax9oamCQ{=1PaEFxTg z%CqULKd+E^NpDO#)^Rn^``nA5K4wZ*bF3k+Q8@}1XIkNJH8cFHqW;83lK#lV+Yq&} zUs2;5rwXC@yuRUnNZ0is^PUwg)=@TBIx*%VX3*(Z1ou`TgJi4%)&68<4QqbqD{hvY z&*|0=Ix)GaI*m~lqSKx1NWU4DuO6O=X_g3+VA?(8Gt3Iru0WntHX2K~u-y`7jVAwy z9`>cm%@~-uZn@Ks*DPuHewQ3R4-Sb{i3p7476nrawZ}Sfz_Rkzk%;mqF>&mW)#Fd> zNQrx()AUOLjJF`WDd-P5r0ksha8kj%e;diw&MS*U6TmR`V0$O%eLl2|Kp*aLL?9z% zg@avJJIq({t(bloyt3j$Up;<499RY_XU;V}37?+oE=qWzYTT!rMdtXr zNpV7Z*ka$aS50m@8jZfD#EeT7hNBXj40A6S`R8d}D1o8=hVaX>C58Qo^$Y&9pEWk! z{$l$!tK((8z`XkcxS*7JeKc-=LPIIY6l~&uxbvj`JxukGw*usj6oI)CC~=9`$laJ9 zb@Ec@rpkjAFbY>~LJ-m*uh=bAoGAjYuJDd56L~{z~HO zzl|g;DOXoe8ZC$XZHu3^e4XnQldW_~;FapAuKCuca&2${96dVLpwU1uBvHYR3-|Do zZIddU!LsidMw=vT1*dW1mnZL}m0cdShep?bQjBpJ2_Z2@GQMpw4YUmGD6cPfBfSi! z6gKG1G7WYJfx*56wk@ndwhCY^^dv+EEUly74rxVSgRP3m>yU7qA!z(Rsbot{Jshg< zgZDcjW)75gS27$5^Fvo4Jn<+UaHSu+jcbS0YAS1p5^w^K?YI&A0^^r9sfx!C(2$ms z`?R&%`78mW6dKBbr1@bqS;K*F_EB ztVTB*26+Y$HUMzaoIW`^(NoOb?TD} z8=T&)@uNNR2q zsu=wW^LcXsBm!vICIrrRQq)w>stuC;?^2JoLX|&M?_(09R7T%)Ya!_yGn81}=8`PE zFcaUZWi?1!4c6Mu%Pd21e16sZ&R5x`Y`+B3!t)j$bEQQ}IJuEusET9u|2!hVF9Pi) zi=3amw5<9gfdT~EE&BUns6=bN!r#~UWvEEup>Zi`>(;@9 zN&T3@WB1zb+K2BsUnlNTLVr$BBEM~>v~q4xf}i)4?kEpjo*>?D?qYUtnkpwiBiBYK zp&eemCw7gqpJ)@#APWL6`tqorIUT0PS_9S2SSB-$-s$Xme9OJn09z#|P4L2>OewjS73E z2DCrQVFi}g3$(o!6W=iC3azi-J-ngUPXRq_h7(jR=_48FMF)h0i&^`~*rs6nCmO#* zXzgry6QFyYcQK(C)q&C;cm>ss!J7|qoRghggtXAMEXL*)@7l11w>n~iJ0^6uQx(C} zRbcPkYM8uGalscB!vHKAK8wlMx--_`!6&dw)G{^Z)4WzE@HYs-E2nXEO)Qsi=mywrwc>?QPEk#@{Ez5Q`~>+_x;*bK)JsJ|f1gBY2HfebG2c z)PM)X{Cq2uf|<|dzW1c-j*L^V?S+nFpF^Q(A$KHG)EAYdoNY5vIpGh)s4ae-cys-4 z()7%_sHo{@@s#EgL8IICkI)jF%9)yN%QGq6>D~JJTZO38q^;CbhTFc8 z?G|TBve8vI{msm<6lkr*x$+_@lck}V$Sw~BS-*T$%Cd8O_r1m zWP>|h2Ao?>`@mG;Bi$1%25Ai=bD^my8TOL&JZC_;Y+5#8no>Km=@POqSF@&2w*yp1 z?ROcthzs;Pa;-lZb6x!G($a%Bkfp-10vo*0-s=ZKHwO+w1{=k{^ zsvm3z9q>Fb_cMV9G^fR6^t1luc1c|_4!C{|sFwS#vwlj1X@fZe4+&GWd1v{(q zUvXIh2J*?_w4EQ0B!-)fqzl?Y1mhRpXwKmlX9ug*M^{=@LZl?y65McCf3eqFiZw`k zD^D9-Jhd^}ueS7g=VSrbH(~JWSbg8l+N@5crQ21LMKOv|uluo2-!2ymmAbU9`S zemI#>ML(TPFuYgAe;Jm}6Ke#DonR(2O<35V?k688~q*vI6j( z?pp$$k?2~YXvgVH>E@Y2q9l-WPaX6xzxQqXD#fdL1TQ-he)Q|YIf(RP2gy`dE0S?wa z#O|Z4Ctm^8FUkGHs$$$$#jSPs`pac+Ir+dZr+$PKsnQqE&{+2h{fA*OrpuAmF|%56 zAT)NmLWBqa`3yJCvhh~~Vqozx)vcNE#Z<_Isic1gAwze`HP*zL^1yCau#F&#CfRQT ze^hG}KHaub5?7iTG0k?4eHAo>DYhC{UM(|0fFF3a61l;|dEHFI6KTw1VkpJ7*)P~NC{OJ$V0P&rOHhJ=ovuR$}$x!a%fWvCm;tg>H z@ZJEk(`6L$P4XDSs*s0f{S$G$z|1YVnR=vhN(d~W)PvViZa4GD;!~6-5?Edv6#I<= zcA;M=qRy!3vP>$3F@W_rlv-$Sp8j|lxTmROv-(PZrDn4E*1vpKycLlWou@{wwzVlG ztRpw#AD^IN_~Qgecot#?kf_Nmru%Et5kvhvnW78%Id7d{Q`Iv-Omv@lTrK>KZSq8_ zBCEyU303MC4i0B0&Fey9S!&zf8177Zho zC?Lp(ywku3rt*8^;m%UbDpsoQbT=myt zW&dcDKMzyFWl^%Agf};}JlL{|SWTMB{Zl)|Z8`Ebm+eUyD@^?fn$JO|f^&knqC%NE z;kwmb8B04k3P1Tq`_FNnGaO-d38fYIoenSNNS=-k%uU~mMv$&cxJ;O_oh2%%(9&MI z{)EA)gQ#|#|1+AY9FKN2GnRRgc1{L5pS!zvXQQ%w-(a&O^@^|cx?EPZtVo(&W=;w? zg8ZqM{d()Sz1y+%cd4_hkUCJZ{p)*I-P=0c0*pzcx`TVub8DP{Wa6;=yn0@`ze!2FA}Q29g_gcTjERE7f7iId6WJCH6iQbEtssB(NoCt9x8CMvy!kSq zu&(A-{Sm84B4fZHtK~`MQh&J>o0m0GH9n%u+M@QzXH;SMz=`U?l5tp6N14Q8ziFd8 zvO_elo1oV^sG(@}nXZWHJJeADOi0!r^_rA$7;fHbEF%H$vH~vU>Fr=_lXZCsE~k6- z`Fi5Hu=0Ak-M`ez9K)B?B?Zvut;3@=$%7Gp5Aj)7`p0g)s?wh@xzM}5V-MTe7CrD^ zU3c^>urlfe>d;dHWJn$9EgKgjizW?B2<9#2&x#}(F1-EaG&11 zCF+aqbf4gp{{b%`~uhs;4$S|1$%x9D7fJCLA zRne5iW7z>v0EZ&H7VIHb#zRq$YlM-Bsg?+gyvb2qnIdAdx7OVrku!84#PTpgf=0;IYPq;%ea zinOLWL&wx`aK2XHc=uC>e+(5KGc9y_*xfjHtKC ze+z4qL1r#lC*q%lg*TLx;awUc3o^^B!|&sZcg7!H?aYUIcB`Lx^HqK2>gv+{&2MEF zzoVkr`IK8p87TvMVFXqy(svYS4TjO-QVzuytjLpZlFqVbbwjd_in13QUDy2}|3!8m z=1ZLK@Q?V(0y@zB4;DxP07gV+ZSnxM{o#|KzH88_PCH#=ETSMoZ?Unqxk7rLCatR% znne;*H3RoM&H+*2M#!zE%>%-YngR{vV;6`{wslJ9+7yq%c|OpCGCoQHs@zOs*cUAx zH;&2V+HP;*X>XHlPubA|j!YBPWD$1zo623y!^JWlk`z{HLIZP*`tDNoj%(Y0^WMFk z7H8P)>c_sT)^I5qMW<^k%0Jci3#)B(&OWOsc9@MdeVR9HeTaK?Tj_qA%E`FAiM+3O ziP0;+EGk-cIXO1%4UYDI3#(Ca8BlF9SN0poAig<4I%CkvuIf+mGFi<7~&VlpDYvWxx=%F&z z5_zbabw6MkGc8D^zfQDJMr{pa$40K9gK%w90~6U=U1)?)< zPhuZePYiv^V#jIUal)vpXJXAddzFZ7F$P6ey!jD?{4Eja&{aPmcjX$FI++F1}@j!!Cs+3N|pbG()69_ z+5kim8F6YI)!#*#lm^Mp5xzqA+!S+9B3dig#Q9yV-N<1XuOet<6-$JtNEw9VR3C;s zP<%Mhq|MTO61he%zQ~OY!%oRAO=>r27m#+1+FK%A=1mVizi34y;oI-3rL5=r*fc(0 zn_7(RR&E&Ze-D8_;voZ{A7!135}Iu;+MV)enmf=mpT`06Z#{wIMB6|^(dw>Vv)XoUIv{hFp z+6%2xhsm15I}giMl%%B&@%~ERj%!D|deNRM7P901_plpim0C!qkw(i>YkJw9o)@*y zgy>!oi~}o`-(Q-uiJm03NBO@A(lq}cyy$`7>u0O}>NJKlDm|w?q5PgQdg%&?7REqI z?4>1X5Z-x6;NlS~qVunin{akn-lhpb3Z5$(^&V7C5Kjsbp^0IV1PImhjr!t3QgWHn z5K>QKFys*H?LpRif=$s1)Rg%F(ea=<@t9?6LdBrWJhygJ#8evV{A}7EzQB%h1u52a zEVH!3(0xpy-(k5%m!qQbPD41Zs3W+MGWmU#V~D%Dj5keI(EDQ|Z3g(Q>PF1t?^Vxf zeU+0ZzyqgnD-3Mb)5`nKX7GQYselxn+ZZu$>_}b`y|O8tWI~;it?*Urhy)Oe=6BU2 z6B9xKO2@;6EIlqy2t4+}K$We4KA@xY7@?Uye z>$YA&!=~Z`zWdg1p1G-)Xbub;#f60&05xnKen4JPYoRqc>4n_W(9*<~G}tc8K|V3Z z`g~ddGyPoC#x7nB3tnc5nTUazUVylL2GWzIR!%1KTlzmqp)KS{u8R8msWNuV!Gv|b zx2fB??bO_INMFieJ^b-$bzmJz=o=STkBO# z9eHzAiCU*j1r<8!%xNmW8GcN;DGPY|&2iUUaL|%LhgPUpfBjGgcSC_SEY2G4Y&B5` z(`mXqYS40=`ZAJbv8yTwb&*^>PA!9ayPFZwC6AqlwXWiS-#^YCe^5@=2^!o6tqyT2 z0npzhu>SUtN84JVhbGn363}d0^fdyujPjr?`Ar~Y`RJRFM9BB|V(8``{Jh8Frh@1r z?nWLe-$5t6c%zU_y?D>$>g?TfBnWO-|A>NaUW~+Pi(o0nfc)G#MvfqF{U`G96T!_q zY4D{)Lr|mA)gbtVyBosE2SG9EJguzZa@weXxV2APay;>)^MJ1=HZZcGvk6>i*k%5> z@FB#+k~Bn7=F0LOiyHRG{k96a142}Y(*6ih#MYYuU&Jt+nKAB7dhN^85ycje{ZNAR zg?h!&naKt9WWK1AlZvhD=LAsDYID`@0B)v@;}g-~xjiv^rYw$6n}Q2pr{pN5`MC8X ztGghddpe_cFg69cA_U}pLDHePw*%ndyVcrX{>74)hC)52xhrKj08XA;r~f110vYvB6vzUW|U1tbph5t0Go~+ zZ!V~-%=<(Wd5#=;lKMdLfHpV>aB-Wa$kN#>@ne0+qr3hNyfABt>M-S2LEB#xBCbT= z)OgY)eDmXs89^|tehz?_=v>CC6kov2QD}d{ejFPA>aZiGGnZB4 z#ChaD^p1M*WRFjt6isPy7)v6+ybOYEhpHJxTuW3uN!7Qk7sHlquxeUmek-}b3r?C# z=9T|If=&|q-gAj_Mb5|a8(w`?Pg0aE%317(K1G!Ut9U2>ZRiAP|~8(O2*4+4G~z2`Tu>?-l% eyrwTbV*FbbegHno^PB|ucj|=A@seX6H~tTpzQ8*G literal 0 HcmV?d00001 -- 2.25.1 From f2aa1434a850b75136e00ce29e95c3b8ba2ad4fb Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=9B=D0=B5=D0=BE=D0=BD=D0=B8=D0=B4=20=D0=9C=D0=B0=D0=BB?= =?UTF-8?q?=D0=B0=D1=84=D0=B5=D0=B5=D0=B2?= Date: Fri, 11 Oct 2024 14:10:07 +0400 Subject: [PATCH 3/4] create gitignore --- .gitignore | 12 ++++++++++++ 1 file changed, 12 insertions(+) create mode 100644 .gitignore diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..45fce1d --- /dev/null +++ b/.gitignore @@ -0,0 +1,12 @@ +.vscode/* +!.vscode/settings.json +!.vscode/tasks.json +!.vscode/launch.json +!.vscode/extensions.json +!.vscode/*.code-snippets + +# Local History for Visual Studio Code +.history/ + +# Built Visual Studio Code Extensions +*.vsix -- 2.25.1 From adfadf01abe5783378a4b98ae739d5a12e82340f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=9B=D0=B5=D0=BE=D0=BD=D0=B8=D0=B4=20=D0=9C=D0=B0=D0=BB?= =?UTF-8?q?=D0=B0=D1=84=D0=B5=D0=B5=D0=B2?= Date: Fri, 11 Oct 2024 14:14:18 +0400 Subject: [PATCH 4/4] nothing) --- .gitignore | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.gitignore b/.gitignore index 45fce1d..110f54d 100644 --- a/.gitignore +++ b/.gitignore @@ -9,4 +9,4 @@ .history/ # Built Visual Studio Code Extensions -*.vsix +*.vsix \ No newline at end of file -- 2.25.1