Key | Value |
---|---|
MD5 | 921438D24A659280EA4BFD5F72B1BD3C |
PackageArch | armv7hl |
PackageDescription | Scipy is open-source software for mathematics, science, and engineering. The core library is NumPy which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers. |
PackageMaintainer | shlomif <shlomif> |
PackageName | python3-scipy |
PackageRelease | 1.mga7 |
PackageVersion | 1.2.0 |
SHA-1 | F1774E07320BE87340B44FB1DA4F61EA037939A6 |
SHA-256 | D5E68512A3D0A2A41A4C18A4FB96A9194C25C1581DEA9C18365E3162E9197CCF |
hashlookup:children-total | 1605 |
hashlookup:trust | 50 |
The searched file hash includes 1605 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.6/site-packages/scipy/stats/tests/test_distributions.py |
FileSize | 139024 |
MD5 | B9E82D441C94DC6CFE2F664546CDE719 |
SHA-1 | 00190175F6A91DBB677D43F297154E4C2CF0BDBB |
SHA-256 | BF19C49A4A8E6B6D7175C85DBD18C5C002611ACB421D129523E812475D044291 |
SHA-512 | 2D97F05052C115CA7E6E40E48F4AFC01B35DBBA148C6ACCD60D86823C0BF2FAEECBECFCE9066EE49AD1905A9A948043FB4E4C9C4752E357200AB52FA6BA14A1E |
SSDEEP | 3072:ZpVSGVK2Nc2N6hNQyaxJgL7sE6EnHn+8V+cR:cGVK2Nc2N6hNCJgLAE6EHn+8V+cR |
TLSH | T180D3D809478F0E184B9FD67BC46E982717A5D92B084638F9B07EC0C05F0D939A6BFA75 |
insert-timestamp | 1727027721.5812376 |
mimetype | text/plain |
source | snap:jmi2WhMiDy5JbZURMPJKbQzjTlsZQGaG_25 |
Key | Value |
---|---|
FileName | ./usr/lib/.build-id/44/6f5b2fcd18f97f1dc051f158fa135dee5dee39 |
FileSize | 102 |
MD5 | 87B9805B1EBB94C27E5097381EC3C30C |
SHA-1 | 0023839941ACDA6B6E0F3413EEA682F410E237D6 |
SHA-256 | CB4AB96E5BFD491EA00DE008BA57A2CCA63F4DB9DDB94A806A3D060D584AD37F |
SSDEEP | 3:gCD/9YPNQAoWrzVV7KRXE9/QE6y2r85YIJLdMRY:X/9YPvDrr2RJjpqMRY |
TLSH | T107B01220D17DEF721598FD1A11158814C3180EF4B38F2FC0BB7C8AB41440148403DD45 |
Key | Value |
---|---|
FileName | ./usr/lib/python3.7/site-packages/scipy/signal/__pycache__/_savitzky_golay.cpython-37.pyc |
FileSize | 10676 |
MD5 | 301A7C37B76D79511883428CCA0BF3FB |
SHA-1 | 008BF62C092F17C2048205CA0C46B54526EE422B |
SHA-256 | AD41FDD5481A65AA18F99F434CD169179D48F6AA318C906D7FD398C3C46F3365 |
SSDEEP | 192:3/iiisWkGA5kfVj6cvsRHc7i6LNssW10xMbUyDMs0Udp5Ihjdy42ntZ:3/drRHPerI0IMs0KIjM3nb |
TLSH | T1D322B7473D4C0B77926BF1F4AA5E64D3C234A06F52B16844304DC5282F939A6DBAE3EC |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/scipy/spatial/tests/data/selfdual-4d-polytope.txt |
FileSize | 480 |
MD5 | 89562A5A927BC7FC4F866B9D92EC9E08 |
RDS:package_id | 304063 |
SHA-1 | 009F4D9E9F7A4DD9A133C45BAF4CF3C8652DD59E |
SHA-256 | AE456120BD66BA91AEA83AF0D5AE5015A383CD991DA1A2CC6C623F0DB2CB4F33 |
SHA-512 | 484E74C3EBA6732F2965398A6A05630A18AE6CF08CA1D7E5862C3E1E1B4D26539CE95EC5D9BA1AA7C92F226F8A437A7C46A5B612616F81300DC891D4F40EA90C |
SSDEEP | 12:rQJrVE+pBVTGPLKK+KKBxK6KvCkOx2LcucB6MzE/K/y/+0k06/T/W:rYPpyDgVrup822r059 |
TLSH | T1A2F0B6882A0D22BC03FC84FB05E91A98416D067F0928B041F65C72C4DF7AEF11FADD4A |
insert-timestamp | 1751766427.8823688 |
mimetype | text/plain |
source | RDS_2025.03.1_android.db |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.6/site-packages/scipy/stats/kde.py |
FileSize | 20962 |
MD5 | E1C59A3204BB5EB8C098F1451603B0C6 |
SHA-1 | 00B36AA59C6109F8C5FA478D1D2D8E25E0341592 |
SHA-256 | F2A9764ED3E1DBB024176002E4AE73C12A67EA14B97ED858F5455776192A03D5 |
SHA-512 | 841D6768509DC3972971E446AFCE05FF1626774D7538609770A1A2CFC0D702B3219E6F234D1C4A86EDC61C7E4C4F0D881108EF4A4A8DE3A908EE19012EF082E5 |
SSDEEP | 384:nKcvxOXHcYOu3C5Gtc5QZaYrzIcjpOrYhtApO4j:hvxO3cY3jtSMtAv |
TLSH | T17A92F95BBD416938A283C4B588CFD00BD72EA9275289943878BEC5741F51835A3FFD9C |
insert-timestamp | 1727027721.405874 |
mimetype | text/x-python |
source | snap:jmi2WhMiDy5JbZURMPJKbQzjTlsZQGaG_25 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/scipy/fftpack/tests/test_import.py |
FileSize | 1250 |
MD5 | 92CE108ABD5C0E0274C62A95DB7A310E |
RDS:package_id | 294806 |
SHA-1 | 00BA594B11C91409652E3E470E384A829E1CE404 |
SHA-256 | C6E19E6B43F53EF738A93C52BC9FE8E691DA19081341AA246BE5B717E0061054 |
SHA-512 | 5DE4A568E651000D72F3F6A4FFD89CFF2A5B27613797F940BD5D38A4AF7C15DB93150FD721764F3D982A1B8EDF4C423C7738FDA9FF7A585CC4477D9817820DAF |
SSDEEP | 24:1wZ7V1tFj03nMTT8IzJR6/UHf+uT09cpHMSjXnZmbNg4B+TkF7aE:1wZ7HtFo3nMH/JQkf+40epsSj0bNpBUI |
TLSH | T11D211F6B15D298668152A6DE04A7D032233BE8AB3B401025F5FD83F00F8822D0B3A6AC |
insert-timestamp | 1728987744.3708894 |
mimetype | text/plain |
source | snap:KiEjtV3t8X5piqxzFxOfjkH8G32OL5eR_83 |
tar:gname | bin |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/lib/python3.7/site-packages/scipy/linalg/tests/__pycache__/test_procrustes.cpython-37.pyc |
FileSize | 5281 |
MD5 | D5992446635DF8135368AF1A4F482A34 |
SHA-1 | 00E1D652BF13FEB424A832FAC45473FF79161DAA |
SHA-256 | 9E9D7E15BDB1A46E08005C91575583FE722318504A94DA34131AA9F43E7A2D2D |
SSDEEP | 96:FzNOCU+SWpvUi0g9ngqluR8ToSBOzPC2btACmPBD1hE4BO+xtsdw7c:hNOCU+SWpvP0g9gqluR8ToSBU1tW5D1M |
TLSH | T152B18599B486DE57FC58F2F940AF07220B72F39E2366FD532821B01ABA820751CB075C |
Key | Value |
---|---|
CRC32 | 2BAD8A3A |
FileName | ./usr/lib/python3/dist-packages/scipy/io/matlab/tests/data/testobject_6.5.1_GLNX86.mat |
FileSize | 672 |
MD5 | 1719EFC3D200CD0DAA8D2CF1535B42DB |
OpSystemCode | 362 |
ProductCode | 183357 |
RDS:package_id | 304063 |
SHA-1 | 00E549DDD3420ED71C112AE87D5D911E38C6FF28 |
SHA-256 | 76AFFAFE7D2FEDC533F58CE25E7FA064535CF7162D37167C7B14ECCE258833BB |
SHA-512 | 090B920859A00456D5BAFFC1F0623AC07CF87F41036DB95C66E8659E8D4F2E35CF059EBC0548910DDEE13D13ECC00E7A0F5D970814FBD8A64843DF0235FC0C6B |
SSDEEP | 12:HXEJfD+aNtWq1uqg2yYl0TMtseeuvJ7C/N333t:0d/tDbgMeuknt |
SpecialCode | |
TLSH | T12A016D03BBB1C405E0B1033E9AAB53067B6AF4D40A23AB65F74CF2565F011846B857E9 |
db | nsrl_modern_rds |
insert-timestamp | 1751766430.2485104 |
mimetype | application/octet-stream |
source | RDS_2025.03.1_android.db |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
CRC32 | 85199F1B |
FileName | ./usr/lib/python3/dist-packages/scipy/io/matlab/tests/data/testcomplex_7.4_GLNX86.mat |
FileSize | 247 |
MD5 | FBE7AE8B26E26A568F48B22313649408 |
OpSystemCode | 362 |
ProductCode | 183357 |
RDS:package_id | 304063 |
SHA-1 | 00ED5F33C52C8E75FB815CFBC5621814D236D462 |
SHA-256 | F2B5867F96EA63BFF699C779C398136203245D578F94B2FCA93EE587C900A67D |
SHA-512 | 35D0AB1717822EC81A91B994F660025A399C5EEF9A3E8CE894420591BBC171FB204B4661770CB70238E6CFDDCB198100515D71DB104E59A50E9C9C3C186790FC |
SSDEEP | 3:vvF5tOJxElKXiFKznOF+AlRM0EX/VYK6oJau59/2CyJoHs+DSHlmbhZ6aKjo0eq2:vvF5EJfDDOFtRHi6knalmt0eq2 |
SpecialCode | |
TLSH | T14BD0220092BA58156E4826E3122A242CF29C403848AE5EE1FC0FA62943D93B023CDBB2 |
db | nsrl_modern_rds |
insert-timestamp | 1751766430.1430044 |
mimetype | application/octet-stream |
source | RDS_2025.03.1_android.db |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/lib/python3.7/site-packages/scipy/optimize/_lsq/__pycache__/dogbox.cpython-37.pyc |
FileSize | 8241 |
MD5 | 711F783024C7D7EA568079DF7EAAF443 |
SHA-1 | 00FBB1A3208E61D92DBBAE83B6677736FEF3D7A8 |
SHA-256 | 8BFE1EAFEBEF33B4B5374970A5BA7CA0D88D4087EF0BA969620AB4813DF0C86A |
SSDEEP | 192:K+qN9RgIR/OKMqHuubM/uF0CwVWlf+UxoHxOWg:zqNHXmKRCuFOROWg |
TLSH | T1D7023C552F80266CF916F0B695FF62818F39825E635B9120F84CE0397F628C5837FA4B |