Key | Value |
---|---|
FileSize | 1852548 |
MD5 | 872D87FAB187EE05EAF5F34AE8B9F0DA |
PackageDescription | library for arbitrary-precision floating-point arithmetic - Documentation Mpmath is a pure-Python library for multiprecision floating-point arithmetic. It provides an extensive set of transcendental functions, unlimited exponent sizes, complex numbers, interval arithmetic, numerical integration and differentiation, root-finding, linear algebra, and much more. Almost any calculation can be performed just as well at 10-digit or 1000-digit precision, and in many cases mpmath implements asymptotically fast algorithms that scale well for extremely high precision work. . If available, mpmath will (optionally) use gmpy to speed up high precision operations. If matplotlib is available, mpmath also provides a convenient plotting interface. . Its features include: . * Fair performance -- typically 10-100x faster than Python's decimal library * Transcendental functions -- all functions from Python's math and cmath modules, plus a few more like gamma, factorial, erf * Complex numbers -- with support for transcendental functions * Directed rounding -- floor, ceiling, down, up, half-down, half-up, half-even * Unlimited exponents -- no overflow or underflow . This package contains the documentation for mpmath Python module. |
PackageMaintainer | Sandro Tosi <morph@debian.org> |
PackageName | python-mpmath-doc |
PackageSection | doc |
PackageVersion | 1.2.1-2 |
SHA-1 | 79129AD5E7E5E5BD53BEAEF38201FC860B3BABCF |
SHA-256 | 3895EA83B1EDC71FAE2A4BE29522B9DD28DAF6AAD5293A2249D46742FFBBFEED |
hashlookup:children-total | 187 |
hashlookup:trust | 50 |
The searched file hash includes 187 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-mpmath-doc/txt/plots/bi.py |
FileSize | 207 |
MD5 | 1D91980828FFF79314C43D42700FFA71 |
SHA-1 | 0045D972E2E0307962F436C4AFB9680888DF17D1 |
SHA-256 | 9EC76B82098353665243E7CF55F42ABA43D74CA2A59143236FA031FE7ABE2610 |
SSDEEP | 6:SFq/6Q7bn10Mnz+VqRSFFw+VqRSiv6KTL:ce7L10exR4FwxR5vl/ |
TLSH | T118D0A7B443064481C153A171CA2519D7F51446B164C11DC4E31353193504F1AD339D45 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-mpmath-doc/examples/taylor.py |
FileSize | 2032 |
MD5 | 41F782F78727CA5254D9E24CC1343C82 |
SHA-1 | 01112EAE4D97B3C3B42824DD8BCD3BC27065C570 |
SHA-256 | 3938899F6708BE6EC6BC4AD0F39FA99598A92CC5BE2DA5B9C22032EAE51BF5B6 |
SSDEEP | 48:hDyfAF8AtTRFPjNdQEvhyct9QgqlXwYEoYTCrDc0kRq:8fAFh1RJXvhyct9QgSXwBdCU0b |
TLSH | T1344184196D422EB6576B406EDE4780832A2B4A6316FB3424F88C49F81F76471C376FB8 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-mpmath-doc/txt/setup.txt |
FileSize | 6194 |
MD5 | 6F132232A7C2BF7CACF4B0AA974A594E |
SHA-1 | 02FD88ECFD5EB3E209205CF30765F09A3D08708F |
SHA-256 | 5C827FE4107D990C25830C96AD595C25049783AAF6A9C937880D627149261780 |
SSDEEP | 96:tiyxYNGXfNe5bgKXx91TfKEMIhrM8vqhcxudCk2y3oJkPvNPWtuWskbsWh6ZcYIw:tizNUU5nBFM8xomk9PWjskbxUZcYneM |
TLSH | T1EBD1844B8D45F3F01742C3A5719E10A3DF2A9C7B53A6D0A074FD11A81B7702613BE7A6 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-mpmath-doc/txt/plots/kleinj2.py |
FileSize | 124 |
MD5 | 1D454EFCCADF75D027B21529FE60F335 |
SHA-1 | 030436F4233FE8AE31BF38AB8E018A8D72377D20 |
SHA-256 | 744B00762FE4A0D2C1541B509BDC7A26DEB573C8F13EDDE86CDBE31DBCFAD811 |
SSDEEP | 3:S6iMLsssoRSv4BwgKrKDtFmAMLb5xkJcRhXue:S6VRRlwjKDGAMLb3kaRhXue |
TLSH | T17AB09BCA142355369D024430D0FE15741336B91914A54450219EE5961960D7CBB7774C |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-mpmath-doc/txt/plots/bessely.py |
FileSize | 214 |
MD5 | D38C04D12F5BA4342F4C83874EE60C75 |
SHA-1 | 05036D6CC1CD7EE98ECCBF91A669A7211F57A41D |
SHA-256 | 4B468EAF2D0FCE6F7F0E833411CE102CE9C59CC106734D2621FBED11DC424E9B |
SSDEEP | 6:S69X1BKkYBzn81eHKlFUEq81eeOvx181eF2Fw81egwER5/VVsq:5lBKkYBz85fdq80f8G2W8pn/Eq |
TLSH | T16AD0C9ABD0A0DDD71B26E8A4728D8D684789637260828C8CE0B374C06728F1E23E7D5C |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-mpmath-doc/txt/functions/index.txt |
FileSize | 762 |
MD5 | 1FD85490974E5F1CDFF4C9504667E483 |
SHA-1 | 05E3B71A04D08B1C34D61E59B04A1832F97B9EC8 |
SHA-256 | E0D0BEBFF37CA98A9970F24B1F53B28B45954D3B4916C0CABF7EAEC695F33DC7 |
SSDEEP | 12:xdT7LJrNxMVI43mmZhfi+rrFwDTnsWDKlT4SEXm0vItERMN45WpIkeZ:zT7LJZxMVI4W0Q+rhwDTsWDa4SERnReq |
TLSH | T1CE0145CAB20EF3E9C05BA4B8D06F558BB826F10332014496906602C84F27BBD0366A8E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-mpmath-doc/html/genindex.html |
FileSize | 43195 |
MD5 | A934EEE48ED03C5444E1993F9FCEC412 |
SHA-1 | 0A32FF25ED8BDF78D76076E84B7EFB66C7DA2ABE |
SHA-256 | D62C5C10B56EE7518174449D0A568AFCE699C95662691DA3C86E4587676BF696 |
SSDEEP | 768:uLgzXJzg5W2gfWPglzg02gOEgtFi3gJ3/uODK6xgVFZR:KgzXJzg5W2gfWPglzg02gOEgtF6gJ3mV |
TLSH | T16413BB15A2F0EB8687BA07555C81213B3C6380B3A399370538FD48DF9F513991A9B6EF |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sympy-doc/html/_sources/modules/mpmath/general.txt |
FileSize | 4393 |
MD5 | 76F3E35EF538891CD2E1E145E236A6E1 |
SHA-1 | 0BB53E88BA4A24669E1B66D3BDF0DA76359CB30E |
SHA-256 | 79C1ED4CAAFCD04C5FE1C50BE3AE1FE7C278A3D7279550B03D27BA22AA4B9C07 |
SSDEEP | 48:/bxrWE8RsgRVt+cNi3+E+0azUYmOEw3UBAAYBzH4fqrXlIvr:/lrWEslrNi3+zhmOEw3U+GirXli |
TLSH | T1349149146CE37BC209ABD223121B3516CDE2B0166777C15A07AA02B88D37B1C95DFF6D |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-mpmath-doc/txt/plots/pcfd.py |
FileSize | 225 |
MD5 | 32E873565256867646FBC7F1B3B28235 |
SHA-1 | 106E7CBEE1DF9E76B75D73BA881881F0C5AD27AC |
SHA-256 | 569142021E5112365A9569B7EB9A45008ADE885A6FD4846A94EDE6C96E4CB4A8 |
SSDEEP | 6:S4zM1cxNkYDiF18nG08nGsx8nGo8nGuak8nGOvjK6j8uu6i:8c7kYS8nG08nGsx8nGo8nG+8nGPuur |
TLSH | T11DD09E0B94941DD2532EE4B6714E8D35C7B052B194118ACD607774D45761F9812AB12C |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-mpmath-doc/examples/pidigits.py |
FileSize | 2444 |
MD5 | 094E4A1C5FE14E22F1B39B0118AAE82E |
SHA-1 | 1115518184060081B65DBC5911DAADEFD0318D0A |
SHA-256 | BBC8D2F280AAFAD0855512AC3D7C6D80E75F784250AC0F1A878CD10C29864BDE |
SSDEEP | 48:eECH3r6QNQt18+wV48MueHWjGaQt7vGSA/k1DRtt1wH:eECXr66Qt18+K48HeHWjxQ0M1jt1wH |
TLSH | T1A8510E361C116B599B93223AEDD18134171A1833235631A8BC9DC16A8FC3131E6F6FF8 |