Key | Value |
---|---|
FileSize | 26941424 |
MD5 | CCE219D5822E27262260C180B646FA79 |
PackageDescription | scientific library for Python - documentation SciPy supplements the popular NumPy module (python-numpy package), gathering a variety of high level science and engineering modules together as a single package. . SciPy is a set of Open Source scientific and numeric tools for Python. It currently supports special functions, integration, ordinary differential equation (ODE) solvers, gradient optimization, genetic algorithms, parallel programming tools, an expression-to-C++ compiler for fast execution, and others. . This package contains documentation for the SciPy library. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-scipy-doc |
PackageSection | doc |
PackageVersion | 1.3.3-3build1 |
SHA-1 | CC8543AAF94952FA99DD8C0EBEF286DE794F227B |
SHA-256 | B1D5F3DD96E8E5C1F46C1D87509F312370898F228D488F61B2C2E059BEBE59F9 |
hashlookup:children-total | 4432 |
hashlookup:trust | 50 |
The searched file hash includes 4432 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-scipy-doc/html/tutorial/signal-3.py |
FileSize | 344 |
MD5 | 56589B0A8E5A5428CC42C0B42D993D19 |
SHA-1 | 0015CF773364B0855881BD10A402DD474AAD4B12 |
SHA-256 | 7B0C0559E4DDECEAE3BB8476636775A44289A8FE0523DDDC1D4EE3F8A4E1B3B1 |
SSDEEP | 6:rvDI0uBtXJKTVJF/KeXgLC5aFOlUgLWdNf8Eu5R4ozzCbW8Eu5JS4p65uw:rctXsZJZJgLwawegLcNf8EuPzubPEu/I |
TLSH | T14AE0DF064A82D10B0BC7A4F0BC9B163263E157853E0C8B2C04035DE4170805CCF3293A |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-scipy-doc/html/generated/scipy.optimize.root_scalar.html |
FileSize | 20175 |
MD5 | 3034E1B7E0754C34F0D30824C84C6170 |
SHA-1 | 001CAB7ED6E8B84585CADCDB1F9904FFE7F5FEF3 |
SHA-256 | DDA965B059AB92A617D41AD96AC3722F7CAD2ABF363E71674972691042284462 |
SSDEEP | 384:nwFnt2ht9iBeNpWt4cr0hUOXuonA6wAcDaDH4D/D4V:nwht2h7iBeNpWt4vO/AA6wlDaDH4D/D6 |
TLSH | T1939299D1A5F39633003784D796AB5B3672E6446AE4460840F3FC83F847EDE84B91B92E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-scipy-doc/html/generated/scipy.stats.mstats.trimmed_std.html |
FileSize | 6043 |
MD5 | BEC674E105F911EE42AF89D7F52BEF1B |
SHA-1 | 0020D4C227A17046B5461F69079F737D2B03EFAD |
SHA-256 | F3CBAD09FD538A0348C47CC34BBE7AA9A944048F479E863E8D005FA2B6C84A17 |
SSDEEP | 96:hMR8fFvD1LMxSoJvWvstdySfD1QjmgQtBtGDtuPpGLTV:ewFOSwosPtBPtot8oV |
TLSH | T1D7C1FF095DF6A86F4C228CD58A99EB3BBDC1916385062C0871FE43BADFC6E844D0F65D |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-scipy-doc/html/generated/scipy.sparse.csr_matrix.tolil.html |
FileSize | 5892 |
MD5 | F313927D7E2FC272605A115CE5C305C3 |
SHA-1 | 00293B7F183460B28CD76E529650F228C681C1AF |
SHA-256 | 3876CA6D1DBCDDD9772A37062E812109A7AF9F7B93C791BF1D829F306B9927CB |
SSDEEP | 96:yMR8fFvD1LMUMJvW/C/HfD1QjisQtB+Y56GoV:BwFRMHBntV69V |
TLSH | T1A4C13F064CE1F866D02688D4D9F5AB26BEC5A16382065C0C72FC57ED9FC2F8A4C17B19 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-scipy-doc/html/generated/scipy-stats-powerlognorm-1.py |
FileSize | 1166 |
MD5 | 74AAC0418FB06815E4F167F635228285 |
SHA-1 | 003E1B8BBC0CA701850CD969A71DB2E86E5AA689 |
SHA-256 | E9FC6C4BBDC80140EA687C9AF31DCE742069A668D3D8240EDC33DE4B5A4604DA |
SSDEEP | 24:13VflvL46mvgSRsQe0mmWHoI5sTYO8dp28PTDfu:BnLJmYSRsv0mmWILYO8LZu |
TLSH | T12C21CE17978D5B190BB34238C8D62DA60ED58206794136E8B54D8BD4138BE18DE3EF0B |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-scipy-doc/html/generated/scipy.sparse.spmatrix.astype.html |
FileSize | 7782 |
MD5 | 3D9B71D810E7E80C90433A9CD3B265C6 |
SHA-1 | 004207984552D5A8B9D43DF9C4FDBEADF075A3BD |
SHA-256 | 8ACC0592968E8828039BE468F65E72EBDF00B8E17B717870A218D16559E803CC |
SSDEEP | 96:GMR8fFvD1LMUoJvW/C/DfD1QjiIQtBFVgSLt/vPLUugKVDyQFIfpV:1wFdwDBTtJg0tnjUuxFupV |
TLSH | T110F14205A9E1F9B6802246C4DF6D9F277EC19147D2061C8CB1FC43EEAFC6E898927758 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-scipy-doc/html/generated/scipy.interpolate.CubicHermiteSpline.derivative.html |
FileSize | 7628 |
MD5 | 17BA16A1BBFD8EBD11028B76872A9B05 |
SHA-1 | 005DE64135EEAD7B4D71CFD59594ADFC535E0C77 |
SHA-256 | 073DAA9D92B083FD615A5290D8C4DF68509A7E9975406D363E50C7F0A00142E6 |
SSDEEP | 192:EFwFVJd6eZR0mLz6BWkSbrRNCftYhe0f1b4hV:QwFE7NtmbIV |
TLSH | T192F1331165F3EC33001787E0E6656B66BAC19047C2062C44F6FC63AA9FDBD52CA2F75A |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-scipy-doc/html/tutorial/stats/continuous_kstwobign.html |
FileSize | 9444 |
MD5 | 2E1FF14CFF69B6FDDE78A436D8F4B210 |
SHA-1 | 00628293E1676131622A02E661EADEDD25A1B7B2 |
SHA-256 | AFFFF6A6DB90BF2DBEB37D640A5D238FEB820EF9DBF36D0CA00AC70FB437FDB3 |
SSDEEP | 96:yvopfFRD1OJ0ePJ8WyJBcD1Fj9xiO+mpTZbrtTiElkWf2YihyEDS/TedmX/gBMCw:keFTehmILj+WTZXtWKBbTee/gBM5V |
TLSH | T13612833409F2A532497341C6C686AB6A7EE6C413E1470D54B1FC636E9F89DC4E92FB0B |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-scipy-doc/html/generated/scipy.special.itstruve0.html |
FileSize | 7564 |
MD5 | A51AA8EB6D320A31E2217022FBC7D14C |
SHA-1 | 007E24C44892B6C6386680B368FCC6ABFD3676C5 |
SHA-256 | BADBDF809D70736AB4E8F46F3AE57A3FB8C2A5C93A3BBD4DF318DAB2EF7650EC |
SSDEEP | 96:tMR8fFvD1LM9sdp4JvW9oslSfD1QjK9eQtBAnB1mFBDm0dyfKpt90lpV:awFGsng7skBb3tqB1WOitYpV |
TLSH | T1F2F18205BDF3AA3B642384C7DA9AAB253AC19517D5010C48B1FC87FE8FC6E818C1B61C |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-scipy-doc/html/generated/scipy.fftpack.ifft.html |
FileSize | 10387 |
MD5 | FB99E596FFEBFB1680DDA3194A40C1D4 |
SHA-1 | 0082C8C8077D97995F1B68A16A123F0B6A8C3A31 |
SHA-256 | F81E3AB08D705F36D681A0CEBF954D7F9EAA68B812884CFF02C82056291246ED |
SSDEEP | 192:7wFNp4/oU9Bta6K6oMQOt0uYM3M2OvXUAJlYL6OFRg0V:7wFf4/oU9Ta6K6oMQOtOF2O8AJdGV |
TLSH | T1F9221E96A4F29533003384D2E7EA5B3A76D6C05BE5850844F2FC83B98FDDD84B81B91D |