Result for 255228479BF3B8285E848FB28A8CF97BF9FBD6F1

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Graph view
Children (78)

Query result

Key Value
MD5C5AC5542AEF1749FCE5D1DEB97E3BF25
PackageArchnoarch
PackageDescriptionOptimized einsum can significantly reduce the overall execution time of einsum-like expressions (e.g., `np.einsum`,`dask.array.einsum`,`pytorch.einsum`,`tensorflow.einsum`) by optimizing the expression's contraction order and dispatching many operations to canonical BLAS, cuBLAS, or other specialized routines. Optimized einsum is agnostic to the backend and can handle NumPy, Dask, PyTorch, Tensorflow, CuPy, Sparse, Theano, JAX, and Autograd arrays as well as potentially any library which conforms to a standard API. See the [**documentation**](http://optimized-einsum.readthedocs.io) for more information.
PackageNamepython3-opt-einsum
PackageReleaselp152.3.3
PackageVersion3.3.0
SHA-1255228479BF3B8285E848FB28A8CF97BF9FBD6F1
SHA-2561048CE221CFA61EF786ECD05D9DB0C35A152DBF1166D63194588C8930CD08D0D
hashlookup:children-total78
hashlookup:trust50

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Children (Total: 78)

The searched file hash includes 78 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/share/doc/packages/python3-opt-einsum/README.md
FileSize5358
MD5AC5810693B4BECFE42E07966FD580541
SHA-101A36D4B4DBC9DF4AC7FE403C0F50BAED8ED92D2
SHA-256CD2EAA20852EB9D5480B6314F1FCEF4637539CE8C4E74F0547506E87D2765856
SSDEEP96:DSzkksBpr6Z9zf3aeznxRRfk95GofkZxDcvY3mJ7rduFPTgWGo5LuwbcqgGqdxIf:Dq2CBT9k948kn4g3mLuFP8WGELuwbJ0Y
TLSHT1C7B187FB7BC75F2007464ED025A696F86B27D23C9EFD04068978D17392607B052B72C8
Key Value
FileName./usr/lib/python3.6/site-packages/opt_einsum/__pycache__/paths.cpython-36.opt-1.pyc
FileSize34187
MD5327DEFB11449EAAFC16CB93C9F06CF2E
SHA-10A4655E208613FDC060EBD7039C2EE2B849FCB3B
SHA-2562DD2D64294AEF97B9FBCF2BB8F5C27D5C58E3FF2E07FBAB88B79698B06C032E4
SSDEEP768:AuTArw9WHRp5tAXCzqrxqs81E83vzCUiTuvzocGkOhP6Jj:AmWHRj4CzqVqsM53vZiTyzocGmJj
TLSHT188E209E6B9C05B66F893F6F5255F8251D320D273539ED182B84C90AD0F067E09ABE2DC
Key Value
FileNameusr/lib/python3.12/site-packages/opt_einsum/backends/torch.py
FileSize3506
MD58496C6380B44416DB38D7ED01EA9AF52
SHA-10B2307D3D285CB55A7E5E466B4434906968253D7
SHA-256708E84CBCB91700582B3CB44375F8AE17DF0ADE611926310C70E4E7B2903FCA0
SHA-5126FC25FC16B45AC443EB4C09AAD2667CD9D612F2F0A14DF120D39EDFAE7DC3A3D870B00FDD51B0C65722829FC4874A8EF946DB0DFBF74E6960F6756E79B4547AD
SSDEEP48:Utxn02TE/k6gKRh3zNrRcmMiqg5MkED54qQTcOhb7oCTJfND5WvJ2ogo35J4Fb:Kt4/PRpzNdMXZLQTDbDwvN3X4Fb
TLSHT18171456BB8A36C1D4717B48929EBE0729729EDC72BE41079FE9C89153F9042483739CD
insert-timestamp1728248935.2930586
mimetypetext/plain
sourcesnap:XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_936
tar:gnameroot
tar:unameroot
Key Value
FileNameusr/lib/python3.12/site-packages/opt_einsum/helpers.py
FileSize7670
MD5F12AC4820EFA02646F51CB25995E4122
SHA-1108C236B19A8837E1466DE76B45A5808606799B1
SHA-256CD8AC3A90FEFF39343909B62DF99C947CDA3E19FA26CC76F1A2A8BF0EFD3D9A9
SHA-51297D4296756DC0836AEF6C89606415E5C0F093729DC1409A351EB693C619C0D707A713C3C0573DD1F9BB88790F2B68291B1E4D578F8239F0F548E469BBB566A7E
SSDEEP192:N8+Irn6E0fEvAkwTREwnQkgwV3TYeNedVThT8WJGmqNpxwel5mc9ajOjUktyKMCg:N8+LbcvAR9ELwFkWqxxqycHiOjUug1mM
TLSHT1CEF162133CC56BB843C7D17A25CBD64BD330D92B984914663AEC61292F67D3093BE5AC
insert-timestamp1728248935.0887258
mimetypetext/plain
sourcesnap:XSlaE4S2cu0h5r6o7dFaFiQIsugKLFpa_936
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib/python3.6/site-packages/opt_einsum/backends/__pycache__/theano.cpython-36.pyc
FileSize2236
MD558DEC632E7CD38E72309BD8046F32BE4
SHA-111C536CC90457BE2B6B11CB4B60A47ED78320E23
SHA-2563B39912C5B6D726786FB8B96F9BE9987AAE6D0687C9508C6FDCFBA708B96BA4D
SSDEEP48:7KX1XJrqtKqGuluDhH3IMndtYW7hxT6Mn3WlDMbe8fvX8MmHyLlBDG3352gIcL1:2l0RluDhXR5zT6M3igf8HGBDG4gIc
TLSHT1034161A83A439A7AF7F4F1F6050BA260233281B763CD414B57089AD71A963841CB57A8
Key Value
FileName./usr/lib/python3.6/site-packages/opt_einsum/__pycache__/sharing.cpython-36.pyc
FileSize6532
MD55F158BE674FC14A7C0CA8955BE0DE984
SHA-119EB54149D9B578ACAD69ED741B23577251E5871
SHA-256EC11F502D9C29B5804A39235B17E2A0F4567302552936C1A490734DCC54FA6C2
SSDEEP192:AZYZz2KCFpYo2uK2PWYFLkm7rsFQ4KHjINqJE4cw5W36JUMEO:AZYJ8P2uKhYFLXsFSDlE4BWyUMEO
TLSHT12DD196C565C189B2F963FABA2083037057158137BB6E9146B05CE4CE9F8B2849D7DFC4
Key Value
FileName./usr/lib/python3.6/site-packages/opt_einsum/backends/__pycache__/tensorflow.cpython-36.pyc
FileSize4371
MD567295255DB5A725BD2C5D454D2C69ECF
SHA-11B92852898400B33905CC43B4D0D35E4D8870DA5
SHA-2569EF7BF6907BF9EA4D277922A170DFE7B1C897163201A0C8CC2960D5828E8F453
SSDEEP96:gPs/CWlECz6xhfzx0KHmHBhuLe7/m6/SHftgSK5r1c3:6WVax0N493
TLSHT1949143FD2D866B3AF979F6F11B6BD342233192263359A1815F08D09F09887C579324AC
Key Value
FileName./usr/lib/python3.6/site-packages/opt_einsum/tests/__pycache__/test_paths.cpython-36.opt-1.pyc
FileSize15658
MD54835FA58115BBCD40D3F9E50148436DE
SHA-12472CDFA4F28D00521DDE6D3B028B6651CEA4A1C
SHA-256E63B4510EF08DFF70E98122915A890112D6F11A52550C976E908FCAE5568A31F
SSDEEP384:NfUQgKb0bt/gAltGCQW3hRDyr/8PHetvCRat:NfUQPboqAvGCThRD68vivCI
TLSHT13A62B564FCC2CE43FAACFBF8423A1A2C473AF595270BD5539914C0AEAC417C819A6D5D
Key Value
FileName./usr/lib/python3.6/site-packages/opt_einsum/tests/__pycache__/__init__.cpython-36.pyc
FileSize144
MD557190A9B893EFE6CC54367E31A0BE40B
SHA-1293B55B4A6527D7D704E03F7B1665596864FC751
SHA-256F162B885E83547B195927C651FDEBF71D44D0A12BDB661C066DB67DAB92DB44B
SSDEEP3:LGl+leh/wZWeT9YOKltVWrz1Vh6BRkcTitn:Waeh/w/9YlMrZVhcD6
TLSHT167C092448A6686A2E97EFDB7B208232554C5DEB2F7AB86533A1CB24A5C093918C22800
Key Value
FileName./usr/lib/python3.6/site-packages/opt_einsum/tests/__pycache__/test_blas.cpython-36.opt-1.pyc
FileSize2436
MD583B33475E4F8AD3F31F75BD75548C31B
SHA-129F89F61DEB89165C1890D11D9550998CA92C693
SHA-256D060AD6C60C0A5F1309BB5A23B2E4B8E598160AFED7F929E5050A71A09864AF7
SSDEEP48:BweQzujTvf5I/xRTzJ1wHnvn8Kr/gtVbp3raUbgLHb6CHbkF:BwgjTf5I/xRzudzgtVdWL76sQ
TLSHT1D6417AA49EC51F24FC6994F1716E12E14211BD5DB6CB63BF88B28236E580080277DB7A





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