609052 60465 609052 62840 609053 51121 609053 62840 609056 51843 109.15.02 >= 609056 62840 609057 49122 2.4.0 >= 609057 59070 1.2 >= 609057 59073 1.2 >= 609057 61040 1.0.1 >= 609057 62840 609058 45157 609058 62840 609059 43080 609060 62840 609063 45157 609063 59061 609065 46651 109.15.00 >= 609065 49507 109.20.00 >= 609065 51080 109.20.00 >= 609065 59537 109.27.00 >= 609065 59538 109.15.00 >= 609065 59539 109.15.00 >= 609065 59870 109.27.00 >= 609065 60465 109.35.00 >= 609065 60775 609065 60837 109.35.00 >= 609065 61842 609065 61848 609065 62781 609065 62840 609065 63861 609066 60465 609070 49122 2.4.4 >= 609070 54960 609070 59071 3.3 >= 609070 60329 609070 61040 609070 62042 0.6 >= 609070 62739 609070 62840 609070 62853 609070 63896 609071 49507 609075 57105 0.0.11 >= 609076 49122 2.4.0 >= 609076 54960 609076 59071 3.3 >= 609076 60329 609076 62042 0.6 >= 609076 62739 609076 62840 609078 45157 609078 59654 609078 59655 609078 62840 609080 43080 609081 45157 609081 62840 609083 62840 609084 46651 609084 49507 609084 60837 609084 61843 112.17.00 >= 609084 62840 609086 62840 609088 51288 609088 51843 108 >= 609088 62043 609088 62840 609090 51288 1.3.2 >= 609091 50959 609092 62742 609092 62840 609093 62742 609094 51288 1.5.5-r1 !< 609097 62841 609098 45725 109.24.00 >= 609098 49507 109.20.00 >= 609098 59537 109.18.00 >= 609098 62840 609099 46651 112.17.00 >= 609099 49507 109.20.00 >= 609099 51080 109.20.00 >= 609099 59537 109.27.00 >= 609099 59538 109.15.00 >= 609099 59539 109.15.00 >= 609099 59870 109.27.00 >= 609099 60465 109.35.00 >= 609099 60775 609099 61842 609099 61843 111.17 >= 609099 61848 609099 62781 609099 62840 609101 50959 609105 51843 108.07.01 >= 609105 62840 609106 45157 4.31 >= 609106 49819 0.98 >= 609106 51928 0.5 >= 609106 62840 609107 49122 2.4.0 >= 609107 59070 1.2 >= 609107 59073 1.2 >= 609107 61040 1.0.1 >= 609107 62840 609108 51843 109 >= 609108 59537 609108 62840 609109 43080 2 >= 609109 45157 5 >= 609109 47766 609109 51288 1.0 >= 609109 62841 609110 51288 0.8 >= 609112 49122 2.4.0 >= 609112 50959 0.8 >= 609112 54960 609112 59073 1.2 >= 609114 49507 609114 51843 109.20.00 >= 609114 59537 609114 62840 609115 51121 609115 51288 609115 52838 609115 62716 609115 62717 609115 62736 609115 62739 609115 62740 609115 62742 609116 44622 1.1.1 >= 609116 62840 609118 45725 609118 49507 609118 51080 609118 59537 609118 61848 609129 51843 109.20.00 >= 609129 62840 609130 62739 609136 44404 0.98 >= 609138 51121 609138 51288 609138 52838 609138 62716 609138 62717 609138 62736 609138 62739 609138 62740 609138 62742 609140 43080 609144 45157 4.31 >= 609144 49819 0.98 >= 609144 51928 0.5 >= 609144 62840 609147 51843 108.07.01 >= 609148 42953 609148 54960 609148 59071 3.3 >= 609148 59654 609148 59663 2.5-r1 >= 609148 62042 0.6 >= 609148 62741 609148 62852 609148 62853 609149 51288 1.3.2 >= 609150 57105 0.0.11 >= 609151 42953 0.4.0 >= 609151 43080 609151 54960 1.2 >= 609151 59064 0.4 >= 609151 62840 609152 51843 109.15.02 >= 609152 62840 609155 45725 112.35.00 >= 609155 46651 109.15.00 >= 609155 49507 109.20.00 >= 609155 51080 109.20.00 >= 609155 59537 109.27.00 >= 609155 59538 109.15.00 >= 609155 59870 109.27.00 >= 609155 60465 109.15.00 >= 609155 61846 112.35.00 >= 609155 61848 609155 62840 609157 62840 609158 42672 609158 47766 609158 50308 609158 51121 609158 52838 1.8.5 >= 609158 58298 609158 62716 609158 62717 609158 62729 609158 62730 609158 62840 609159 49122 609162 49507 609164 49122 2.4.0 >= 609164 50959 0.8 >= 609164 54960 609164 59073 1.2 >= 609165 42953 609165 45157 609165 49819 609167 57105 0.0.3 >= 609172 51121 609172 51288 609172 52838 609172 62716 609172 62717 609172 62736 609172 62739 609172 62740 609172 62742 609177 45725 112.35.00 >= 609177 46651 109.15.00 >= 609177 49507 109.20.00 >= 609177 51080 109.20.00 >= 609177 59537 109.18.00 >= 609177 59538 109.15.00 >= 609177 60464 112.35.00 >= 609177 60465 609177 60775 609177 61846 112.35.00 >= 609177 61848 609177 62840 609177 63858 609182 57105 0.0.11 >= 609183 59865 2.1 >= 609183 62840 609187 51288 1.3.2 >= 609188 42953 609188 49122 2.5.0 >= 609188 54960 609188 59071 3.3 >= 609188 59654 609188 59663 2.5-r1 >= 609188 62042 0.6 >= 609188 62741 609188 62852 609188 62853 609191 62840 609195 43080 609196 50959 609197 51288 1.3.2 >= 609198 42672 609198 47766 609198 50308 609198 51121 609198 52838 1.8.5 >= 609198 58298 609198 61040 609198 62716 609198 62717 609198 62729 609198 62730 609199 45725 609199 59062 609199 59537 609199 60838 609199 61842 609199 61848 609199 61849 609199 62780 609202 43080 609203 62840 609205 51843 108 >= 609205 62043 609206 45157 609206 59654 609206 59655 609206 62840 609209 42953 0.4.0 >= 609209 43080 609209 54960 609212 54960 609213 62840 609215 44404 0.98 >= 609216 62840 609219 62840 609222 49507 609222 51843 109.60.00 >= 609222 59870 609222 62840 609225 49122 2.3.0 >= 609225 59662 0.3 >= 609228 51843 109.15.00 >= 609229 51843 111.13 >= 609229 62840 609231 46651 609231 49507 609231 51080 609231 59537 609231 59870 609231 60775 609231 60837 609231 61846 609231 62840 609234 51843 108 >= 609234 62840 609239 42953 609239 49122 2.5.0 >= 609239 54960 609239 59071 3.3 >= 609239 59654 609239 59663 2.5-r1 >= 609239 62042 0.6 >= 609239 62741 609239 62852 609239 62853 609242 51843 109 >= 609242 59537 609242 62840 609245 62840 609246 62840 609248 51843 111.13 >= 609248 62840 609249 62840 609249 62841 609250 45725 609250 46651 609250 49507 609250 51843 112 >= 609250 59870 609250 61848 609250 62840 609251 51843 109.55.02 >= 609251 59537 609252 44404 0.98 >= 609252 62840 609255 42953 0.4 >= 609255 43079 609255 43080 2 >= 609255 45157 5 >= 609255 47766 609255 51288 1.0 >= 609255 62841 609256 42672 609256 47766 609256 50308 609256 51121 609256 52838 1.8.5 >= 609256 58298 609256 62716 609256 62717 609256 62729 609256 62730 609256 62840 609257 49122 609258 51843 109.20.03 >= 609258 62840 609259 63074 609259 63075 609261 51121 609261 62840 609262 50959 0.8.3 >= 609262 57106 0.4.0 >= 609262 62840 609265 45725 109.35.00 >= 609265 46651 109.15.00 >= 609265 49507 109.20.00 >= 609265 51080 109.20.00 >= 609265 59537 109.27.00 >= 609265 60465 109.35.00 >= 609265 61848 609265 62840 609266 44404 0.98 >= 609267 47516 609267 51288 609270 51843 109.28.00 >= 609270 62840 609271 51843 109.60 >= 609271 62840 609272 44622 609273 45725 609273 49507 609273 51080 609273 59537 609273 59870 609273 60838 609273 62840 609276 49122 2.4.0 >= 609276 54960 609276 59071 3.3 >= 609276 60329 609276 62042 0.6 >= 609276 62739 609276 62840 609276 62853 609278 43080 609280 43080 2 609281 63074 609281 63075 609282 49507 609282 51843 109.60.00 >= 609282 59870 609282 60465 609282 62840 609284 50959 609284 54960 609286 45157 609286 59061 2 >= 609286 59654 609286 59655 609287 51843 109.60.01 >= 609287 62840 609288 49507 609288 51843 609288 62840 609291 50959 0.8.3 >= 609291 57106 0.4.0 >= 609293 63075 609295 45725 112.35.00 >= 609295 46651 109.15.00 >= 609295 49507 109.20.00 >= 609295 51080 109.20.00 >= 609295 59537 109.27.00 >= 609295 59538 109.15.00 >= 609295 59870 109.27.00 >= 609295 60775 109.27.00 >= 609295 60838 109.35.00 >= 609295 61842 609295 61848 609295 61849 609295 62840 609299 42953 0.4.0 >= 609299 43080 609299 54960 1.2 >= 609299 62840 609300 42953 609300 54960 609300 59071 2.1 >= 609300 59654 609300 59662 0.3 >= 609300 59663 1.3.2 >= 609301 60463 112.35.00 >= 609301 60464 112.35.00 >= 609301 61846 112.35.00 >= 609301 62840 609302 50959 609302 54960 609303 62840 609305 49122 2.3.0 >= 609305 59662 0.3 >= 609305 62840 609309 49122 2.4.0 >= 609309 59070 1.2 >= 609309 59073 1.2 >= 616615 47193 616620 47193 616624 47193 2.0.1 !<= 616624 54674 616634 47193 616648 47193 0 616651 47193 1.2.1 >= 616659 46436 1.8.0 >= 616660 48206 1.1.3-r2 >= 616661 47193 616661 62951 9999[python_targets_python2_7(-)?,python_targets_python3_3(-)?,python_targets_python3_4(-)?,-python_single_target_python2_7(-),-python_single_target_python3_3(-),-python_single_target_python3_4(-)] = 616663 43076 616665 47193 2.0.1 !<= 616665 54674 616671 47193 616671 62951 0.1*[python_targets_python2_7(-)?,python_targets_python3_3(-)?,python_targets_python3_4(-)?,-python_single_target_python2_7(-),-python_single_target_python3_3(-),-python_single_target_python3_4(-)] = 616672 48090 616680 47193 1.3.92 >= 616681 47193 2 >= 616681 57954 0.19 >= 616688 47193 2.0.1 !<= 616688 54674 616691 47193 2.0.12 >= 616691 48090 1 >= 616691 59305 3.11.91 >= 616691 59840 0.16 >= 616697 47193 2.0.17-r1[smartcard] >= 616697 54674 0.7.0 >= 616698 42589 0.9.9 >= 616701 47193 616703 47193 616709 62720 616709 62721 616710 48090 616714 47193 1.3.92 >= 616715 47703 1.4.18[usb] >= 616729 42589 616731 43076 616734 62720 616734 62721 616739 62720 616739 62721 616741 43076 616743 42298 616743 42298 3.2 !< 616743 47193 1.4* = 616743 47193 2.0* = 616743 48090 1 >= 616748 47193 2 >= 616748 48090 1.2.0 >= 616750 47193 616753 46436 !! 616753 49088 !! 616765 47703 1.4.18[usb] >= 616767 43076 616773 49030 0.3.0 >= 616778 47193 616778 62950 201501052117 >= 616780 47193 616792 47193 2 >= 616792 48090 1.5.0 >= 616795 43076 616800 47193 616801 47193 1.3.92 >= 616806 47193 616807 47193 616807 62950 201501052117 >= 616811 49030 0.2.8 >= 616812 49030 616812 49803 pkcs11 616815 59540 616815 59542 616815 59543 616816 47193 616817 47193 2.0.1 !<= 616817 54674 616820 42589 0.8.18-r1 >= 628115 47193 628116 47193 628120 51028 628122 62550 1.0.10[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] ~ 628125 62550 1.0.10[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] ~ 628125 62552 1.0.10[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] ~ 628128 51100 628135 62542 1.0.10[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] ~ 628135 62544 1.0.10[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] ~ 628135 62547 1.0.10[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] ~ 628135 62548 1.0.10[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] ~ 628135 62549 1.0.10[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] ~ 628139 58220 0.6.19[lzma,lzo] >= 628142 44134 628142 46436 628142 47193 628149 44134 628149 46436 628149 47193 628153 58220 0.6.19[lzma,lzo] >= 628162 47193 628166 49561 628169 49561 0.6.23 >= 628169 59840 vala 628170 62550 1.0.10[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] ~ 628172 46436 keyutils 628173 44134 628173 46436 628173 47193 628179 49561 0.6.23 >= 628179 59840 vala 628181 46436 keyutils 628182 62543 1.0.10[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] ~ 628182 62545 1.0.10[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] ~ 628182 62546 1.0.10[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] ~ 628183 44134 628183 46436 628183 47193 628185 52709 ! 628191 49561 628194 47193 628197 62550 1.0.10[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] ~ 628198 62550 1.0.10[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] ~ 628198 62552 1.0.10[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] ~ 628202 62545 1.0.10[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] ~ 628202 62550 1.0.10[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] ~ 628202 62551 1.0.10[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] ~ 628202 62552 1.0.10[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] ~ 628355 49517 628368 56568 628374 51866 628386 56568 628407 49517 628410 56568 628921 44063 3.2 >= 628921 44063 3.4 < 628922 54144 628925 54144 1.6.6 >= 628925 56473 ! 628930 54144 628931 47193 628932 54144 628933 54144 628936 54144 628937 54144 1.6.6 >= 628937 56473 ! 628938 47193 628939 44063 python_targets_python2_7(-)?,-python_single_target_python2_7(-) 628941 54144 628944 44063 628944 54144 628945 44063 python_targets_python2_7(-)?,-python_single_target_jython2_5(-),-python_single_target_jython2_7(-),-python_single_target_pypy(-),-python_single_target_pypy3(-),-python_single_target_python3_3(-),-python_single_target_python3_4(-),-python_single_target_python3_5(-),python_single_target_python2_7(+) 628945 47819 628945 54369 python_targets_python2_7(-)?,-python_single_target_jython2_5(-),-python_single_target_jython2_7(-),-python_single_target_pypy(-),-python_single_target_pypy3(-),-python_single_target_python3_3(-),-python_single_target_python3_4(-),-python_single_target_python3_5(-),python_single_target_python2_7(+) 628945 55923 628945 55943 python_targets_python2_7(-)?,-python_single_target_jython2_5(-),-python_single_target_jython2_7(-),-python_single_target_pypy(-),-python_single_target_pypy3(-),-python_single_target_python3_3(-),-python_single_target_python3_4(-),-python_single_target_python3_5(-),python_single_target_python2_7(+) 628947 54144 1.6.6 >= 628947 56473 ! 628950 54144 628952 42298 628952 54369 1.6_rc1 >= 628953 47193 628953 55921 2.1 >= 0 628953 55943 -dso,perl 628954 51336 628954 54369 2.5 >= 628954 54654 0.23 >= 628955 54144 628956 54144 628957 44063 python_targets_python2_7(-)?,-python_single_target_python2_7(-) 628960 46196 628960 55943 1.0.9 >= 628961 54144 628961 54369 2.2 >= 628961 58853 0.10 >= 628962 42298 628962 54369 1.6_rc1[python_targets_python2_7(-)?,-python_single_target_jython2_5(-),-python_single_target_jython2_7(-),-python_single_target_pypy(-),-python_single_target_pypy3(-),-python_single_target_python3_3(-),-python_single_target_python3_4(-),-python_single_target_python3_5(-),python_single_target_python2_7(+)] >= 628965 44063 628965 54144 628966 54144 628967 47193 628968 54144 628971 54144 628973 51336 python_targets_python2_7(-)?,-python_single_target_jython2_5(-),-python_single_target_jython2_7(-),-python_single_target_pypy(-),-python_single_target_pypy3(-),-python_single_target_python3_3(-),-python_single_target_python3_4(-),-python_single_target_python3_5(-),python_single_target_python2_7(+) 628973 54369 2.5[python_targets_python2_7(-)?,-python_single_target_jython2_5(-),-python_single_target_jython2_7(-),-python_single_target_pypy(-),-python_single_target_pypy3(-),-python_single_target_python3_3(-),-python_single_target_python3_4(-),-python_single_target_python3_5(-),python_single_target_python2_7(+)] >= 628973 54654 0.23[python_targets_python2_7(-)?,-python_single_target_jython2_5(-),-python_single_target_jython2_7(-),-python_single_target_pypy(-),-python_single_target_pypy3(-),-python_single_target_python3_3(-),-python_single_target_python3_4(-),-python_single_target_python3_5(-),python_single_target_python2_7(+)] >= 628974 44063 1.4 >= 628974 55943 1.5[python] >= 628977 54144 1.6.6 >= 628977 56493 ! 628978 55943 python,python_targets_python2_7(-)?,-python_single_target_jython2_5(-),-python_single_target_jython2_7(-),-python_single_target_pypy(-),-python_single_target_pypy3(-),-python_single_target_python3_3(-),-python_single_target_python3_4(-),-python_single_target_python3_5(-),python_single_target_python2_7(+) 628980 54144 1.7.3 >= 628981 54144 628984 47193 628984 55921 2.1 >= 0 628984 55943 -dso,perl 628986 55943 628987 54369 2.5.0 >= 628988 47193 628988 55921 2.1 >= 0 628988 55943 -dso,perl 628989 42298 628989 54369 1.6_rc1 >= 628991 54144 628993 44063 1.9.3[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] >= 628993 44063 3.3.3[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] < 628994 54144 628995 44063 628996 54144 629001 54144 629003 54369 2.5.0 >= 629004 54144 1.6.6 >= 629004 56473 ! 629007 47193 629007 55921 2.1 >= 0 629007 55943 -dso,perl 629009 55923 629010 54144 1.6.6 >= 629010 56493 ! 629013 54144 629014 54144 629017 44063 1.9.3[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] >= 629017 44063 3.3.3[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] < 629019 54144 629022 44063 629023 54144 629024 54369 2.4 >= 629027 54144 629029 54144 629029 55943 629030 54144 1.6.6 >= 629030 56473 ! 629036 44063 3.2 >= 629036 44063 3.4 < 629038 54144 629039 54144 1.5 >= 629040 55943 1.7 >= 629046 44063 629047 44063 python_targets_python2_7(-)?,-python_single_target_python2_7(-) 629053 54144 629054 59840 629058 44063 3.3 >= 629058 44063 3.5 < 629059 55923 1.11.6 >= 629060 47193 629064 54144 1.6.3.3 >= 629065 46196 629065 54144 1.5.4.4 >= 629065 54369 1.13 >= 629065 55943 1.0.9 >= 629066 54144 1.6.6 >= 629066 56473 ! 629067 54144 629069 54144 1.6.6 >= 629069 56473 ! 629070 54144 629073 54144 1.6.6 >= 629073 56473 ! 629076 54144 629077 54144 1.6.6 >= 629077 56473 ! 629078 55923 1.11.6 >= 629079 44063 1.9.3[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] >= 629080 48576 0.5 >= 0 629080 55943 1.3.0 >= 629085 54144 1.6.6 >= 629085 56493 ! 629086 54144 629088 54144 629096 54369 2.5 >= 629098 54144 1.6.6 >= 629098 56473 ! 629099 54144 1.6 >= 629100 54144 1.6.6 >= 629100 56473 ! 629101 54144 629101 63412 629101 63413 629103 54144 629105 55943 629106 54144 629106 55943 629107 54144 1.6.6 >= 629107 56473 ! 629108 54369 629109 55943 629111 54144 1.6.6 >= 629111 56473 ! 629112 44063 629113 55923 629113 55943 629116 54144 629118 54144 1.6.5.5 >= 629120 54144 629121 54144 1.6.6 >= 629121 56473 ! 629123 54144 629123 54369 2.2 >= 629123 58853 0.10 >= 629124 54144 1.6.6 >= 629124 56473 ! 629126 55943 629128 54369 2.5 >= 629129 54369 1.18 >= 629130 55943 629132 54144 629133 55923 629136 54369 2.4* = 629136 54369 2.5* = 629138 54369 python_targets_python2_7(-)?,-python_single_target_jython2_5(-),-python_single_target_jython2_7(-),-python_single_target_pypy(-),-python_single_target_pypy3(-),-python_single_target_python3_3(-),-python_single_target_python3_4(-),-python_single_target_python3_5(-),python_single_target_python2_7(+) 629140 46196 5.7-r2 >= 629141 55923 629142 55923 629142 55943 629143 54144 1.6.6 >= 629143 56493 ! 629146 54369 2.5.0[python_targets_python2_7(-)?,-python_single_target_jython2_5(-),-python_single_target_jython2_7(-),-python_single_target_pypy(-),-python_single_target_pypy3(-),-python_single_target_python3_3(-),-python_single_target_python3_4(-),-python_single_target_python3_5(-),python_single_target_python2_7(+)] >= 629147 44063 python_targets_python2_7(-)?,-python_single_target_python2_7(-) 629148 44063 1.4 >= 629148 55943 1.5[python] >= 629150 55943 629153 55943 python_targets_python2_7(-)?,-python_single_target_jython2_5(-),-python_single_target_jython2_7(-),-python_single_target_pypy(-),-python_single_target_pypy3(-),-python_single_target_python3_3(-),-python_single_target_python3_4(-),-python_single_target_python3_5(-),python_single_target_python2_7(+) 634223 52709 ! 634265 59840 634658 54144 634733 54144 652957 54144 653000 47193 653111 49561 653147 47193 1.3.92 >= 653315 54144 653688 44063 653688 54144 654084 46436 keyutils 654491 59840 654757 47193 654758 47193 2 >= 654758 48090 1.5.0 >= 654839 47193 2.0.1 !<= 654839 54674 654840 52533 ! 654840 54674 655019 51288 1.3.2 >= 655020 63074 655020 63075 655035 52709 ! 655036 47193 655037 52709 ! 655039 54144 655307 44063 1.9.3[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] >= 655338 51843 113.00.00 >= 655338 62840 655339 46651 655339 49507 655339 59537 655339 59870 655339 60837 655339 61842 655339 61843 655339 61848 655339 64158 655340 51843 109.28.00 >= 655340 62840 655341 46651 112.17.00 >= 655341 49507 109.20.00 >= 655341 51080 109.20.00 >= 655341 59537 109.27.00 >= 655341 59538 109.15.00 >= 655341 59539 109.15.00 >= 655341 59870 109.27.00 >= 655341 60465 109.35.00 >= 655341 60775 655341 61842 655341 61843 111.17 >= 655341 61848 655341 62781 655341 62840 655342 51843 109.60 >= 655342 62840 655343 49507 655343 51843 655343 62840 655344 45725 655344 49507 655344 51080 655344 59537 655344 61848 655345 45725 113.00.00 >= 655345 46651 109.15.00 >= 655345 49507 109.20.00 >= 655345 51080 109.20.00 >= 655345 59537 109.27.00 >= 655345 59538 109.15.00 >= 655345 59870 109.27.00 >= 655345 60465 109.15.00 >= 655345 61846 113.00.00 >= 655345 61848 655345 62840 655346 44622 1.1.1 >= 655346 62840 655347 51843 109.20.00 >= 655347 62840 655349 46651 109.15.00 >= 655349 49507 109.20.00 >= 655349 51080 109.20.00 >= 655349 59537 109.27.00 >= 655349 59538 109.15.00 >= 655349 59539 109.15.00 >= 655349 59870 109.27.00 >= 655349 60465 109.35.00 >= 655349 60775 655349 60837 109.35.00 >= 655349 61842 655349 61848 655349 62781 655349 62840 655349 63861 655350 45725 113.00.00 >= 655350 46651 109.15.00 >= 655350 49507 109.20.00 >= 655350 51080 109.20.00 >= 655350 59537 109.18.00 >= 655350 59538 109.15.00 >= 655350 60464 113.00.00 >= 655350 60465 655350 60775 655350 61846 113.00.00 >= 655350 61848 655350 62840 655350 63858 655351 61040 655352 62840 655353 45725 113.00.00 >= 655353 46651 109.15.00 >= 655353 49507 109.20.00 >= 655353 51080 109.20.00 >= 655353 59537 109.27.00 >= 655353 59538 109.15.00 >= 655353 59870 109.27.00 >= 655353 60775 109.27.00 >= 655353 60838 109.35.00 >= 655353 61842 655353 61848 655353 61849 655353 62840 655354 51843 111.13 >= 655354 62840 655355 49507 655355 51843 109.20.00 >= 655355 59537 655355 62840 655356 46651 655356 49507 655356 51080 655356 59537 655356 59870 655356 60775 655356 60837 655356 61846 655356 62840 655357 45725 113 >= 655357 46651 655357 49507 655357 51843 112 >= 655357 59870 655357 61848 655357 62840 655358 46651 655358 49507 655358 60837 655358 61843 112.17.00 >= 655358 62840 655359 45157 655359 59061 655360 60463 113.00.00 >= 655360 60464 113.00.00 >= 655360 61846 113.00.00 >= 655360 62840 655361 51843 113.00.00 >= 655361 62840 655362 45725 109.35.00 >= 655362 46651 109.15.00 >= 655362 49507 109.20.00 >= 655362 51080 109.20.00 >= 655362 59537 109.27.00 >= 655362 60465 109.35.00 >= 655362 61848 655362 62840 655363 45725 655363 59062 655363 59537 655363 60838 655363 61842 655363 61848 655363 61849 655363 62780 655391 44063 python_targets_python2_7(-)?,-python_single_target_python2_7(-) 655391 44063 1.4[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] >= 655391 55943 1.5[python] >= 656780 59305 656780 59840 657023 62840 657032 59305 657032 59840 657150 55923 657282 47193 657487 47703 1.4.18[usb] >= 657508 47193 657508 55921 2.1 >= 0 657508 55943 -dso,perl 657509 47193 657509 55921 2.1 >= 0 657509 55943 -dso,perl 657594 44063 3.4 >= 657594 44063 3.6 < 657691 47193 657740 54674 657740 52533 ! 657847 47193 657930 55943 1.5[python] >= 657930 44063 python_targets_python2_7(-)?,-python_single_target_python2_7(-) 657930 44063 1.4[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] >= 658447 54144 658511 47193 658492 44622 2 >= 658511 55943 -dso,perl 658511 55921 2.1 >= 0 658606 49122 658606 64575 658605 51843 658606 64576 658605 49507 109.53.00 >= 658616 49030 658606 64578 658607 62852 658605 64582 658616 49803 pkcs11 658605 62717 658607 64575 0.6.0 >= 658601 64575 1.1.0 >= 658662 64575 658662 64579 658662 62852 2.6.0 >= 658493 64587 ! 658662 64581 1.7.0 >= 658662 63896 2.0.0 >= 658662 62739 658661 49122 658661 64576 658661 60461 658661 51843 658662 62717 658662 64575 1.0.1 >= 658662 49122 2.4.7 >= 658661 62840 658661 49507 658662 60461 112.24.00 >= 658662 56798 ! 658822 47193 2.0.0 >= 659072 55943 659154 62841 659277 59840 659277 59305 659375 54144 1.6.3.3 >= 659369 54928 !! 659410 49122 659487 54144 1.7.3 >= 659709 54928 !! 659823 47193 659819 62840 659819 59073 1.2 >= 659819 61040 1.0.1 >= 659819 59070 1.2 >= 659819 49122 2.4.0 >= 659908 47193 659864 51288 1.3.2 >= 659908 55921 2.1 >= 0 659908 55943 -dso,perl 660221 44063 3.7 < 660221 44063 3.5 >= 660222 47193 660295 54144 660296 54144 679406 59305 3.11.91 >= 679406 59840 0.16 >= 679406 47193 2.0.12 >= 679406 48090 1 >= 679405 47193 2 >= 679405 57954 0.19 >= 679604 59840 679699 56473 ! 679699 54144 1.6.6 >= 679700 54144 1.6.6 >= 679701 56473 ! 679700 56473 ! 679701 54144 1.6.6 >= 680048 54928 !! 680203 52533 ! 680204 54674 680204 47193 2.0.1 !<= 680228 44063 3.7 < 680203 54674 680228 44063 3.5 >= 680251 51288 1.3.2 >= 680266 52709 ! 680252 47193 680267 49561 680325 64575 680325 64579 680325 62852 2.6.0 >= 680325 63896 2.0.0 >= 680325 64581 1.7.0 >= 680325 62717 680325 64575 1.0.1 >= 680325 49122 2.4.7 >= 680325 60461 112.24.00 >= 680325 56798 ! 680325 62739 680480 62721 680480 62720 680478 62721 680479 62720 680479 62721 680478 62720 680601 47193 680600 64821 9999[python_targets_python2_7(-)?,-python_single_target_python2_7(-)] >= 680617 47193