Result for 016DB84D3343D5F8C7B6A2BCA7EDD0F9FBFCD19B

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/numba/cpython/__pycache__/iterators.cpython-38.pyc
FileSize3656
MD55B95084F5B1446F363929FC5BB30EC9B
SHA-1016DB84D3343D5F8C7B6A2BCA7EDD0F9FBFCD19B
SHA-2569D5BCE8FD2D644532952E7B8393361CE9AF563D2621F515D5EF02907087B8376
SSDEEP96:RoAjGOF0qjXwMrrdVxJH7LgPovy3dfWPUAnRc5E6:RFmqDTVVxl7cz3du8kRca6
TLSHT15E71C4F01507BC25FD9AF1FDA05A0174AE6382E1B684A173782CE173FE125F54F196A8
hashlookup:parent-total2
hashlookup:trust60

Network graph view

Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD55D2E84100ECF4FB9E2AE48FB17450A4C
PackageArchi586
PackageDescriptionNumba is a NumPy-aware optimizing compiler for Python. It uses the LLVM compiler infrastructure to compile Python syntax to machine code. It is aware of NumPy arrays as typed memory regions and so can speed-up code using NumPy arrays. Other, less well-typed code will be translated to Python C-API calls, effectively removing the "interpreter", but not removing the dynamic indirection. Numba is also not a tracing JIT. It *compiles* your code before it gets run, either using run-time type information or type information you provide in the decorator. Numba is a mechanism for producing machine code from Python syntax and typed data structures such as those that exist in NumPy.
PackageNamepython38-numba
PackageRelease54.3
PackageVersion0.55.0
SHA-1C7452AD002F685D37EF92E82E49758BDEC0D783A
SHA-2569D07AF4742C09184FD303A7D4D2A7EB32D907EFBAC196A25BAB13B0E02B6259F
Key Value
MD51002CF0734BEC63A81716ADDB16F7A4C
PackageArcharmv7hl
PackageDescriptionNumba is a NumPy-aware optimizing compiler for Python. It uses the LLVM compiler infrastructure to compile Python syntax to machine code. It is aware of NumPy arrays as typed memory regions and so can speed-up code using NumPy arrays. Other, less well-typed code will be translated to Python C-API calls, effectively removing the "interpreter", but not removing the dynamic indirection. Numba is also not a tracing JIT. It *compiles* your code before it gets run, either using run-time type information or type information you provide in the decorator. Numba is a mechanism for producing machine code from Python syntax and typed data structures such as those that exist in NumPy.
PackageNamepython38-numba
PackageRelease54.2
PackageVersion0.55.0
SHA-1920E492626E6F5D17306C009D43BFA50F6D0299C
SHA-2568A608921A44F2D7091F0C15B2E6E212BD2DD9FAC758713EA454880099A6DDD16