Result for CF75C45BA5E791EA30020B6E4DA87B0DA758D09B

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Children (801)

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Key Value
FileSize243928
MD53FD24C0757F9F895C344B8FDDCA8203C
PackageDescriptionexamples of OpenTURNS functionalities OpenTURNS is a powerful and generic tool to treat and quantify uncertainties in numerical simulations in design, optimization and control. It allows both sensitivity and reliability analysis studies: * defining the outputs of interest and decision criterion; * quantify and model the source of uncertainties; * propagate uncertainties and/or analyse sensitivity and * rank the sources of uncertainty . OpenTURNS is a large project with more than 300 C++ classes which uses well known and supported software such as R for the statistical methods and BLAS/LAPACK for the linear algebra. . This package provides examples which are written either in C++ or in Python. . They are primarly used as validation tests for the whole platform but they can also be seen as tutorials for beginners.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNameopenturns-examples
PackageSectionscience
PackageVersion1.3-3
SHA-1CF75C45BA5E791EA30020B6E4DA87B0DA758D09B
SHA-2565AB81106BABC026A5C1E7C52F44A7765498B3433DC727D024420D643562B52FF
hashlookup:children-total801
hashlookup:trust50

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Children (Total: 801)

The searched file hash includes 801 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/share/openturns/examples/t_GumbelCopula_std.cxx
FileSize4752
MD53E860AFA255735D58FA690DF4BAC0321
SHA-101AB46E5A47E0E57BF99F3470C57C02680193C0B
SHA-25667D78986597A1803C2FF189683F7C54985D446D5CFFF20824A55F60D1E8FF835
SSDEEP96:/0u6DQP0sVhJqniJmnn1BdevO2tObTEWKC:/0ucgnh+i0PdexObTNKC
TLSHT191A1212292818D7498D30C55B7ED438B6003C4035FF9EA6076AF4B8B1F2B6D252F0A7B
Key Value
FileName./usr/share/openturns/examples/t_CauchyModel_std.py
FileSize2077
MD560363F0C90FB9869ED32B3AD6300117B
SHA-101F8760FE346163F7CCAAC8D92A49BCDA3BFF9F7
SHA-256E76852C1E298FFF66694F9CECC48C8CADFA278A62A5249297188B2160B802036
SSDEEP48:Ge/3uW63w7pikVW/eot1gahFSZ0jlwFv6YYs:Gm7pogaS0yEG
TLSHT10341E0C5100259146A374B5ACDD58005036DEE0739EB38C4F6FCF6A43F1D8218B25FAB
Key Value
FileName./usr/share/openturns/examples/t_NumericalMathFunction_analytical.py
FileSize4155
MD5ED48ED02B47D6F3E57B4979FB8A49B34
SHA-101F92AAEC9EDD858DF8BDB02F5051B2D74FEDD9C
SHA-2568964290FEA61E85BE4E8E9B8930E2048A01AA48C0B4CDB5D9BE9E75D5C7F8DB3
SSDEEP96:GEDO8SrNJfr8ccthXGmKBC8V3ZBasDWfrCVbSKBTJBvsct4aQO38qXyRSQ8J+HF:GC/o3sRSQ8J+l
TLSHT187818E957D1332B3A34BC96EC89B230E65F6892754C02436789C42D45F39D3A62F3E9E
Key Value
FileName./usr/share/openturns/examples/t_NearestPointChecker_std.cxx
FileSize2949
MD52851828CF1DCBEA1EDD2A9B6466B76E4
SHA-102679B9431505843C3A268FEFBC2DDE3C46060C1
SHA-2562279A3D3C6F4CA08155363C0B06C17AEA2818B33CA02DB2594E262C89B9C9FA0
SSDEEP48:uK0qHy3HuJIKwatXADbYPHCIy77HJU06IMpq80/8y8kl6XcvzKs:t0uHDQIiIw7pU0zB868ysXcrKs
TLSHT137513F1E24A2462255B73235BBCF95865223466336D4DC00B8CE93529F0B0DA6FFDFE0
Key Value
FileName./usr/lib/openturns-1.5/wrappers/poutre_sample_no_retry.xml
FileSize2471
MD54F7468AC708343AFB8BF3AC30A15DE64
RDS:package_id184818
SHA-10286BA7857F1868442154DC194DC1D4E5EA6AC3A
SHA-256C01EE827CD8F340811329479CB93D51E378C5BDD609904E86CEDC766F781862E
SSDEEP48:cNAMxHXEijvuDqaVXxiNx2e3Pe/VdtYk4g2w7z2t+EWhAiFK+p:cx3dKq16/VuY+IEuAiF/p
TLSHT10C519C84F8FA35623092957C2BED254A4E669F9B049400B8339C4F5D9F03D2906D7FEC
insert-timestamp1648772833.1683438
sourceRDS_2022.03.1_legacy.db
Key Value
FileName./usr/share/openturns/examples/t_Graph_export.cxx
FileSize2518
MD5D32684BCB46EF75E73593F95F34D4FFE
SHA-102CE9A42F30F14A5916A2C11672FE625151005B1
SHA-256016E340BB7AADD3C81B0F8399450424FC15800B6BA25DFBFB6A5649A2EEBB118
SSDEEP48:0P0qHy3HuJIKwatXALkeYOadsKOtnDD52QH3X5yHHk54u0fHAkKC:O0uHDQIejadsJtx2Oy5u0nKC
TLSHT1D9512F05D922AF269D931569676F8291B203412FABA7F80C7C2E03170F0B4D62FF5BB4
Key Value
FileName./usr/share/openturns/examples/t_InverseTrendTransform_std.py
FileSize1420
MD55771AB315842B67851FBBD114963E01B
RDS:package_id184818
SHA-10343D8BDAF24B3721585D7248637B45D9CEB077F
SHA-256ECB04000CBC234990B6B260CD49DACDC4665C65571F770E16281FC167CC8DB6F
SSDEEP24:GuNUOzfbTknvDGn/Bven/bvgRnjavnnjwvVqQYZbYv9Hp3GbQyKIHvNbY8Es:GEBjTIouZZb4wY8Es
TLSHT16E218B095D0AE817958B1D55BFDBA00E2B3F89332E983444BD4AA65E3F0C9EF87B5700
insert-timestamp1648772835.058426
sourceRDS_2022.03.1_legacy.db
Key Value
FileName./usr/share/openturns/examples/t_SquareMatrixLapack_std.py
FileSize1476
MD541C65A0A101B2606CD732F82CEC6C02A
SHA-1035A5B32C59AF9F4C9D4BFF0B00DEA3E878529A2
SHA-2562AA31F3E69883F68D09126B9339F8491196B6E57641EB5A8662A780CD01490DF
SSDEEP24:GuaJIaOf/OQeaSW6+bKsypf7Dm5YiYchcNY+QyYWywsyL1GtXJDZJpqU+n/OMKOI:GRIaOOQelW6gKs2fm5T4XG/kbKOCwW6q
TLSHT1E331484A2D481D3189EB54CBCEE11D151E4EED63369F7428F5ACD5204FAB8A3A274F0A
Key Value
FileName./usr/share/openturns/examples/t_Factorial_std.cxx
FileSize1754
MD5AFE91AA2F3B0388864BB0CB28A2F527F
SHA-1037B8635CD7873031E6A6B16FA79C90F56495DFE
SHA-256647937560BE13B1B5707883F9895F1789CD07353F02AF526B3774A51A838ACDF
SSDEEP48:Wa0qHy3HuJIKwatXAoUhcG2+GzvBSd+USKs:l0uHDQoacG8AdjSKs
TLSHT12C31ED1910678A7B54930A74778F52C2D207C11B77ADE408345E93676F074E22AF6FE1
Key Value
FileName./usr/share/openturns/examples/t_UserDefinedCovarianceModel_std.py
FileSize1873
MD576A22C789A44DD3BB971901204B0624C
SHA-103A811CDF3BDEF30C52EC37C285469EBDC0F25E5
SHA-2565EA8D5CB21DC62A6F131B9056DBF0A3303D39B7DC015EB9229A9A2DB0973D281
SSDEEP48:Gu/UOe63htp6cdYxFnCyHJYxF+CWxcY8s:Gqe630Ac
TLSHT14F314305E260253DA6A7066AC1EFD157226B709379C968B976DCDF103F48C33C295F2E





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