Key | Value |
---|---|
FileSize | 24074680 |
MD5 | 987B7B0ACFFA498D3CB9A277152A5E6F |
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 | Debian Python Team <team+python@tracker.debian.org> |
PackageName | python-scipy-doc |
PackageSection | doc |
PackageVersion | 1.6.0-2 |
SHA-1 | 36924299A61D185B239889780E3DA5D2CC1C4E4E |
SHA-256 | BAD076CA4F5D2559A68DD37842842D52543F11F40F845E5E71A7F9FCCA618524 |
hashlookup:children-total | 4923 |
hashlookup:trust | 50 |
The searched file hash includes 4923 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-scipy-doc/html/generated/scipy.stats.vonmises_line.html |
FileSize | 21555 |
MD5 | 6F0E29179AAE918D2EB5B762F53623E3 |
SHA-1 | 0008F8CA75FAC454E17B0F6E51B9FCE784E6876B |
SHA-256 | AC90E1C1D34FF02D88B63A20AF590F2CF8048261133FDD8BC977A1E5DBEE9954 |
SSDEEP | 192:BRszA5s8Bvt//cYt5wkZJP0jQOgE8uzn5FwyXILmsMzI2hW/CRDdETmTvEtlwuxL:BRs05s8RtTwkjXLA1zD1fGPUc0FT+5T |
TLSH | T114A2649695F79137043784D796EE1B3AB5E5546AE0430844F3FC83B98BCCC85782BE2A |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-scipy-doc/html/generated/scipy.sparse.dia_matrix.tocoo.html |
FileSize | 5877 |
MD5 | 23DE8018A6E30E3BD2A4439CA1847157 |
SHA-1 | 0039F22DBB3908018B53FA59FAD8E8EA336F00F2 |
SHA-256 | E374B9950D67251E5FA8361AB8089AA710F65A7AFD94D4F23C8AC5B1EB2E4954 |
SSDEEP | 96:WSRID1LKkwJvWtCJ7fD1QjKUQtBpUbZRuazt5ao:/EovBPtAbWoT |
TLSH | T1BAC1FE1649F0B4A3C02788C5C9E97B6BBEC5D15381076C0870FC5BAD9FC1E868C27A0D |
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/dev/contributor/quickstart_mac.html |
FileSize | 20557 |
MD5 | 4385547F2BDDB25DD0243C793AAD1D7C |
SHA-1 | 0048AB7708966DEEEE30483306A82507A497C753 |
SHA-256 | 5AF918AE4F1A42153DDB441AE63CD382BC8F877EEA21F8D206291F49539330F9 |
SSDEEP | 192:1/EiFImlt4bZ8jld0PreAKHwBgP9S/Q0aTKLUpbE6H/63kWzT:1ciF1ltUZCld0PZnBW9t08KibPHC3DT |
TLSH | T1349252B684F68632152341D5D3D91FB9F6EB802FE1940890F2FC436C939ADE2752B85E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-scipy-doc/html/generated/scipy.special.gammaincinv.html |
FileSize | 11148 |
MD5 | 96E03C7F06FD4968A7F884822064DD5B |
SHA-1 | 0056CFAD8F3D2476531A9F62AF02464D6F418EE0 |
SHA-256 | A31CCAD5F006A79EE505D93A3D9FBC3C4068EF169DBD7D11AFC400325EB03C0D |
SSDEEP | 96:5SRID1LK9sdpeJvWrosVSfD1QjUWQtBgKokBECiAWwyJd6a0MSesSRVS8BMbS8M/:IdsnuZs0BPtFolCrWWORE8BMG8MJNT |
TLSH | T1B932BB9099F2A437503781DB96AE2B26B6D5A42BD4560C88B2FCD3EC8FCDD44BC0791D |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-scipy-doc/html/generated/scipy.integrate.DOP853.E.html |
FileSize | 4061 |
MD5 | 3207D7FCC97F2E0D9C29ACD00909AF83 |
SHA-1 | 005B9D052A72E9424D4E540951AC9B3EE69BE34E |
SHA-256 | 1801C46D021F70EA2CF1AE95597C8A88C76D09E6D8729B381965AC8D944F5ED6 |
SSDEEP | 48:ZfU1oZKrjd2D1HrfyK7M2s8DVVWfre2D1QjZmVPnNKyjtuiTzf3p7eVdu33o:ZSRID1LKKJvWTfD1QjMQQtREao |
TLSH | T129810D055CF1F96390028AD5DAA1EA2BBEC1D213826B6C0471FC5BE99FC2EC58D0B64D |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-scipy-doc/html/generated/scipy-stats-invgamma-1.pdf.gz |
FileSize | 7588 |
MD5 | 74DD6AFFE3E2DBC097DC97376BBE0943 |
SHA-1 | 00676EDF38F53A46269C510945D4023E861D1178 |
SHA-256 | 6E0AE540BC9EC301B56B40F8A0B54DE54A39E81063A1C87AF3E0825E849CDB08 |
SSDEEP | 192:Phc6HEPo7Iv8DR3fDdvE2b6EROZ4P2JmsSResZ:PG7Po7qUk2b6EROiP+msSosZ |
TLSH | T1E0F1BF9DF7BA960BDB2B8550A38D84C5C212C410D74A2EB534FDB269F6802BF5033C02 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-scipy-doc/html/generated/scipy.interpolate.Akima1DInterpolator.derivative.html |
FileSize | 7323 |
MD5 | C0F61B20BBAE48DB7654337B28E3FE19 |
SHA-1 | 006813AA66F20DDD9F5AA22964DAE186126ECDB1 |
SHA-256 | 22336D7E0CF8124B4079BB7C28C92EA364A5D0F2B90F9D87FB6406C7F171CAAB |
SSDEEP | 192:E36x16GRZMsLLCBW86TT5lqXtAqcPSS6EdT:QTtVtDEdT |
TLSH | T10FE1141468F3AC23101647F5E66A9A667AC18047C5522C4CB2EC67AAEFCBD40DF7F609 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-scipy-doc/html/generated/scipy-signal-ellip-1_01_00.pdf.gz |
FileSize | 15722 |
MD5 | 5CA163E66D62305CBCB0EA14CF49DC6E |
SHA-1 | 008E47250CFD470343E52A22B1FF236EB164AC9A |
SHA-256 | 1EEC1F5905A983F58CAAD6C25DC132FD4B07E5F52AA9A260544A96ED198C97A7 |
SSDEEP | 384:bXbi8Fz3+70MgtAjjMogYyXLR+MvUnfXwEn7xN8mP7CI06rf7:PP4o/jxbRRvEfgs7xN7PJ |
TLSH | T1FE62CF20CF834166CCF32F6F2A5BA8319E4B0A4D5B63855837514DBDE590D4EBEA89D0 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-scipy-doc/html/generated/scipy-stats-levy-1.pdf.gz |
FileSize | 6536 |
MD5 | 49D1CB9980C9A8CBE8E0F7478C9455CC |
SHA-1 | 009070FDFA00950DC351A4410ACA98DA227BF345 |
SHA-256 | 94B64CA52846084566448BE3331F8246D3CB25C39D10E865B38039E11C326042 |
SSDEEP | 192:5M4rJSXkhUCfZnFZZNKDYpxgEErBOqKs5:S4rI6FZZuYvgQs5 |
TLSH | T1FCD19FEE9D45D03B021C8F47A9645ECE801C4A2FF7B69207860C5A9705BD0BEBFCB164 |