DIST ScientificPython-2.4.9.tar.gz 491370 RMD160 70bc5a918bf7fc368ba88306078b66931b8b3436 SHA1 077b6347940617999c23103bac9542d926ed7f69 SHA256 139bca0eed3e307d4e5d6b45b4111d2de8964c7ede657c7ea8ce7f7d218097d7
DIST ScientificPython-2.6.tar.gz 514044 RMD160 5c9e8cba2373d722854cfe57e270803d7ed2bf2a SHA1 db5b0d369e8254130312553a13a70888537e637e SHA256 cfa06b0e5bdadfdc79328bfd01843f9e7b0a08f7c19d1f32a7ecec498be72cc0
EBUILD scientificpython-2.4.9.ebuild 862 RMD160 a829d26897748138ed5f9683e580107e3724e810 SHA1 456e3e7a7707d400063486372c04f2be07ca990c SHA256 16819705dc363c429aab3e713ee47091f7ac5e2e2a63cfbc9c31541e79e96568
MD5 9e972d386cb029fdc1c0407d1a51890b scientificpython-2.4.9.ebuild 862
RMD160 a829d26897748138ed5f9683e580107e3724e810 scientificpython-2.4.9.ebuild 862
SHA256 16819705dc363c429aab3e713ee47091f7ac5e2e2a63cfbc9c31541e79e96568 scientificpython-2.4.9.ebuild 862
EBUILD scientificpython-2.6.ebuild 1058 RMD160 2310389f01cf84aa92bd3534f89bea38d0a607fa SHA1 c5c2a891055e6b178f381d30d3323c24f9aa558c SHA256 707c08b8f72b3875f959a84b1d494d4ace09c644f3967117423a15145bce696f
MD5 1c3c538f10778314b8131ca7296e7660 scientificpython-2.6.ebuild 1058
RMD160 2310389f01cf84aa92bd3534f89bea38d0a607fa scientificpython-2.6.ebuild 1058
SHA256 707c08b8f72b3875f959a84b1d494d4ace09c644f3967117423a15145bce696f scientificpython-2.6.ebuild 1058
MISC ChangeLog 4199 RMD160 5c54afb54c19920273ff529c0057e24745e091f7 SHA1 d8ecca8f32a33b3cfe00b8e0bb5e06795290b748 SHA256 f7e3a37e2562853fd12927af88efc678d8b2a34809303027c066f96f3085cfbd
MD5 36eb37c9423f5547dba50f405962d8a4 ChangeLog 4199
RMD160 5c54afb54c19920273ff529c0057e24745e091f7 ChangeLog 4199
SHA256 f7e3a37e2562853fd12927af88efc678d8b2a34809303027c066f96f3085cfbd ChangeLog 4199
MISC metadata.xml 176 RMD160 be161ab43aa0cbb1c5c585fd9b8ff535eea919de SHA1 f9fd4782b684fb34e2440e13f5d27976340bf8ec SHA256 00113e658cc98dad3d4f0ecf4bdce6a609fba11d41c73fd9c958eaba6f77f4f6
MD5 010cb2cd5ae1e8e35bdbcd11610bad18 metadata.xml 176
RMD160 be161ab43aa0cbb1c5c585fd9b8ff535eea919de metadata.xml 176
SHA256 00113e658cc98dad3d4f0ecf4bdce6a609fba11d41c73fd9c958eaba6f77f4f6 metadata.xml 176
MD5 10d7bd846085adde582b9d014f28d4eb files/digest-scientificpython-2.4.9 268
RMD160 ef7f06464725144a82c5a1c97adcede4000841c1 files/digest-scientificpython-2.4.9 268
SHA256 8df02b79174bb7b1e05447422a458ff75c90ada6814c2fc6149e8a47694344c5 files/digest-scientificpython-2.4.9 268
MD5 3aa27b7727f4fdd4fe85d08d398c18e5 files/digest-scientificpython-2.6 262
RMD160 1a3dd17ce3dca0b2ae3efb9731f5c81ae598be79 files/digest-scientificpython-2.6 262
SHA256 a7969a320c2a88d774c4e43e5bb74d2ef8167d0a3d4503c2cf3939291c2e9501 files/digest-scientificpython-2.6 262