Key | Value |
---|---|
FileSize | 4929544 |
MD5 | C913D858E6D210F939EEE468DE565D8C |
PackageDescription | NumPy documentation Numpy contains a powerful N-dimensional array object, sophisticated (broadcasting) functions, tools for integrating C/C++ and Fortran code, and useful linear algebra, Fourier transform, and random number capabilities. . Numpy replaces the python-numeric and python-numarray modules which are now deprecated and shouldn't be used except to support older software. . This package contains documentation for Numpy and f2py. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-numpy-doc |
PackageSection | doc |
PackageVersion | 1:1.18.4-1ubuntu1 |
SHA-1 | B5BC15430730229FDFF086DA608EF3AF9A9E5498 |
SHA-256 | F8FEF2AA839CD48756B86AE0137CF467D47D6020BE2AA919A79CEC6D9489CD60 |
hashlookup:children-total | 3329 |
hashlookup:trust | 50 |
The searched file hash includes 3329 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | f43c200a729a36c39ded3a221875903a756195e7.svg |
FileSize | 4582 |
MD5 | CA93C18D54A99302CCBDC0A76A4021D0 |
RDS:package_id | 293705 |
SHA-1 | 00152E2967DF335515E89FB80A35F7D7989F86EA |
SHA-256 | F7848C41F84CD112148741DAEF6638EAB80B1DA0D3F71042E9408DEA4B3828FA |
SSDEEP | 96:Mi7eCTDTYLOJlsPmSobIQWiFHMQB/as2GH0C:vQ2lsu1b/WiT/as2u1 |
TLSH | T11391E8D21B71D1E8AB1FFEDAED21AA4D1B17B4FD172780868165F219E26B3C54009C58 |
insert-timestamp | 1678967822.4889836 |
source | RDS.db |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-numpy-doc/html/reference/generated/numpy.polynomial.legendre.legfit.html |
FileSize | 15947 |
MD5 | 995E92859D24813D7393CBBFBBB0E285 |
SHA-1 | 00197C3745B1BB87AEBD4AC69A7016DEBB7011A4 |
SHA-256 | 052CA7F4C5D00F695798A63203E856DD198C887737DEA7121E124C17A9E3345D |
SSDEEP | 192:j+F9H+SRI5talE7yKOS7ix2GMCS1Y3nxM4YiZDL5eNdZ0+visd:j+F9eSRotnf+0XV14xiim0+vHd |
TLSH | T17E62632691F32733543780D0DF7627667BD5841AF2821C84B2EC9BBD8B86D81A43F94E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-numpy-doc/html/reference/random/generated/numpy.random.RandomState.chisquare.html |
FileSize | 10850 |
MD5 | A98CCA4EC4143780290448A0017C3DC4 |
SHA-1 | 0029CC91CA3F03BB718B6E7E2293219212825753 |
SHA-256 | 0767A4E49E17F038C4E4CFEFDB44631BCA45306350ED8A827132965CD155E78B |
SSDEEP | 192:LvF9bvXtsLMth+ggiNnj1S01qCJjwxltd:LvF9bXyItiiNnj1SyCBd |
TLSH | T1B4225164A4F36533946380E1D7E52B3A7AD1942BF2422D14B5FC47BDDFC6C85B81B80A |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-numpy-doc/html/reference/generated/numpy.char.chararray.argmin.html |
FileSize | 5159 |
MD5 | 8914C3A8EBE1859A3EBD310BE83625C8 |
SHA-1 | 003B9B8B393B8FE808061ED10479CEE9E1DC1DD8 |
SHA-256 | E182F6B808F9433609A345C42B3D741A523342DAEDA06ADBEE49EE7945477C78 |
SSDEEP | 96:KpwoPfF9+mD15Ka/WStKcD1vrtxgCp1gqpZj4XspZeLLx5ybe5y/co:Sw+F9US0IztC6+yZjCEZenx595Kd |
TLSH | T1DCB1001948F2E933601282D5DAA16A2BBFD1C913E2566C0470FC07BD9FC2EC68D1B94E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-numpy-doc/html/reference/generated/numpy.polynomial.hermite.Hermite.html |
FileSize | 16895 |
MD5 | 079AA61035E0210A93C1A56BE510BEC4 |
SHA-1 | 00523B19E680DF0DDCEE923C751CDD1182124E14 |
SHA-256 | B3769863CFD6430DD22B886CBDBA064E6828111D8F17EB2C8E26D0AED1D16979 |
SSDEEP | 384:I+F9DSoKtyOfMcqbUOE2yXsr2WxwYyl2niTd:I++oKsvE |
TLSH | T12072B07381E50835146A45C897623FE976D9542BD0452C40F3EC1FBBE78AE93E11BF2A |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-numpy-doc/html/release/1.9.0-notes.html |
FileSize | 53333 |
MD5 | 7291D92E0085492BF34826C797B4AAD5 |
SHA-1 | 0059D2A46BA23AD1FB071392FC8A276936F95F96 |
SHA-256 | 7A6E218A1A1CB6A5550D8A7C645641794373CEF020E9C94F2712D00861F8FC68 |
SSDEEP | 768:TR1XiOQ5iO0IIFkY2Eh167wVdClO83iFX:1Niu0YNGlO8yt |
TLSH | T1E433536255E209370A6701DAD3E51F7970DF801EE2A90851F6FC03AD93C6CD5B62FA2E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-numpy-doc/html/reference/generated/numpy.polynomial.hermite.hermvander.html |
FileSize | 9909 |
MD5 | 6628817E1864BC9EE9BCEB0E8D1F5C59 |
SHA-1 | 00614DB58F956DDBB24907496FF8CF3EB207DA64 |
SHA-256 | C92E54F674412C27B25C4378DBBAD72A228CC3139BA796100E6FB7DC4F4AA6BE |
SSDEEP | 192:u+F90+SoIPptZgpq5UDUIxB6PHfYAwZDMfpc+F6Sd:u+F9lSoItZgdDUIxMPHeZDwpcWd |
TLSH | T19112526194F29533403784D296A63F6276D6841BE1412C44B2FC5FBA4FCAD42BD2FE1E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-numpy-doc/html/reference/random/bit_generators/generated/numpy.random.Philox.cffi.html |
FileSize | 6591 |
MD5 | E4382FD17ED8228216C82C23F634EB55 |
SHA-1 | 006652A40842990CED7CD83D91D238B86F540ABC |
SHA-256 | A059A170E5E08C6DD1C2652F8A5D9332A7580BB7B1F8E13F832B368991E43330 |
SSDEEP | 96:BmnfF9cSD1lEYNapWEHRsFv3KD1Bdt4m9/RfQco:BcF9E6Eaaft4m9/6d |
TLSH | T1C5D1302558F2B833501242D5DAA85E36BFA28D23E3299F0430FC177D9FC2E855D1B20E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-numpy-doc/html/reference/generated/numpy.ma.MaskedArray.repeat.html |
FileSize | 6680 |
MD5 | 80319CB88E9D629F2D68EC3CD9F94064 |
SHA-1 | 006806C2631949734811769B2588CBFB4EAE7DE5 |
SHA-256 | 036D8042F769D8E08150C0C620FCBD181FEDBCA36A142499DFE4731EA57C86CB |
SSDEEP | 96:zoPfF9+mD15ea7a/WStHERcD1VxNrt1FQXLL70z/co:z+F9wa5S2IVxRt1KX34d |
TLSH | T1D6D1652558F2E977641285C59BA42A7BBFD2CA13E1092D4870FC0BBDDFC1E824D1B61E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-numpy-doc/html/reference/generated/numpy.chararray.var.html |
FileSize | 5163 |
MD5 | D86D7315A9772D07B02093D2FF7B83AB |
SHA-1 | 0085880A50367A0DF8B6EDB16BFCE0EAD157D6DB |
SHA-256 | 0035E214D95176E96067E8A271588F93EBBFD53B2162619D5B265ACB3F82178A |
SSDEEP | 96:KTToPfF9+mD15Ka/WStKcD1vrt1TCTo46yTub03/co:WT+F9US0IztZuoReuId |
TLSH | T175B1321588F2A937601281D5DAA56E2BBFD6CE03E1166C04B0FC47BD9FC6EC58D0BA4D |