Key | Value |
---|---|
FileSize | 290714 |
MD5 | 3EE7E831D0241DDAD00EE9280D1FE646 |
PackageDescription | Optimized Cosmic Ray Annihilation in Python 2 Astro-SCRAPPY is designed to detect cosmic rays in images (numpy arrays), based on Pieter van Dokkum's L.A.Cosmic algorithm. Parallelization is achieved using OpenMP. . This package contains the Python 2 version of the package. |
PackageMaintainer | Debian Astronomy Team <debian-astro-maintainers@lists.alioth.debian.org> |
PackageName | python-astroscrappy |
PackageSection | python |
PackageVersion | 1.0.5-1+b2 |
SHA-1 | 4C49C4BE0319E5267B286C09EFA3182A8FE84A12 |
SHA-256 | 5516AB1DD2AC76AECBF14FEF859BCBCB595472280495D373F3A664B8561B7847 |
hashlookup:children-total | 35 |
hashlookup:trust | 50 |
The searched file hash includes 35 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/astroscrappy/utils/median_utils.c |
FileSize | 439089 |
MD5 | 84AC4CAD0ABEAE84685FB054CCB3A5DF |
SHA-1 | 01056CC8CFEC4DC0244D7BD35B5D6148645B5BFA |
SHA-256 | 299922FA226DF993C61CCE030CD164BAD0DF4F1721D516DD262B903F1DB6D6EA |
SSDEEP | 6144:Eom8H/sdRvbf+wcyKHp7eXarUy/8i0z650vAQcw+IsGhWRYIV1K+b0RKPegbNScb:EL8H0u |
TLSH | T1E594832219A0E85B13C2B5F5538B894A536152070254FACFB89CD4E8AF33F6DCD64EDB |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/packagename/conftest.py |
FileSize | 1435 |
MD5 | 5BCD0BFDCD3075C135044E28D9243C6F |
RDS:package_id | 182052 |
SHA-1 | 0B4732121EDE74266F0FD8FE9E3F55A125C6B141 |
SHA-256 | 75F4BA6F86579DD222ACD8342F5ACE3622EAE298E6EC0CD2B5CA5357A230C934 |
SSDEEP | 24:0vEmo1cbLh0c8V0UyzxJ+J7nQu+UyCdetwljMthBMCSsyUTU:0JoQ8V0UgUQf/2aMCr4 |
TLSH | T12321632BA39657BB4AC34B82142E44D01B3EB2353B171649F4EDF17213C1062CB330A9 |
insert-timestamp | 1679426503.7645378 |
source | RDS.db |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/astroscrappy/_compiler.aarch64-linux-gnu.so |
FileSize | 5944 |
MD5 | 9BCEC444553EA128DDF90CE95CEE3A64 |
SHA-1 | 0CF36E6FE925A6B01B8177B78CF59A7E121D6DBA |
SHA-256 | 3FAD8DC7B8991C9360EC87F0FFC1530873CC8096F5550ACFC60E8DBDB84DCEE3 |
SSDEEP | 48:OPpYEZMBWBM92XMfRF+sR0AbAY1mvH5K:aMBWBMUXA+krNmvZK |
TLSH | T1D1C11D4EFFA0DC6FECA8523588EB0370B3B2D8185A6643135704E6A12F539D91F261DA |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/astroscrappy/utils/setup_package.py |
FileSize | 3855 |
MD5 | 04D1ABE93AE4602983D44804B0E1BE89 |
RDS:package_id | 182052 |
SHA-1 | 0E1F7F0678BA25CE84DA8154DBA53797BB9E068D |
SHA-256 | D506CCB928B5A915D169D4A2B925286F35E7DE0681E6CB50ACE7098C20556B40 |
SSDEEP | 96:6KmXYVED0LuuTPBI29viqCd8NVqs9Ma/PGHFy/O:6KmXYV+0LdP+MahdMVqoMa/PGlOO |
TLSH | T11481437EC5AF0F1043A284F5674D806703A5E913AE05A538BB9C47E09F4E56CC1B7AB5 |
insert-timestamp | 1679426503.7057037 |
source | RDS.db |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-astroscrappy/copyright |
FileSize | 3675 |
MD5 | 17D674186C870B81BEF109475E2354F7 |
RDS:package_id | 182052 |
SHA-1 | 18EFAAB5D9E36FAC978D083C21EF64BBB5E65349 |
SHA-256 | C36F9A6779BBBD150F5E55CA17A8D99B1BE0B147AD8EA0C4A0E09A462CC74E0F |
SSDEEP | 96:EAWaGOrXIJfJzjr/3M3VWLYdorYJ2rYJtFN3io3z9eLGEq+:EApGOrXcR3r/3M3sYdors2rsnN3io3B0 |
TLSH | T1A871C99B13404BE745D127D379A769C46659903C3B23580D28AAE3E0BF3F21F9477455 |
insert-timestamp | 1679426503.6324992 |
source | RDS.db |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/astroscrappy/tests/fake_data.py |
FileSize | 2048 |
MD5 | 8FCA02ECF7A4E39B4751B67920F31255 |
RDS:package_id | 182052 |
SHA-1 | 229E21C9790F935ED82E9D3D24C36622BB0E86F2 |
SHA-256 | 2DB7F79C8386993C312515A4C6C646DDA6A3531C723DCDA315E7CAB0C684F624 |
SSDEEP | 48:SUADTo7rB3LYmqZFbLaV4yMPvp7RCnWSp6vOqEcRr:SVwFYmq7bOV49Hp7XK6UcRr |
TLSH | T1BE4153063C961D0DA28AE132C4D762296A77B0374B901D9B7B5C91C50F0A33FF67878A |
insert-timestamp | 1679426503.647773 |
source | RDS.db |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/reproject/cython_version.py |
FileSize | 58 |
MD5 | C63401E31E82182EB0796050917F1D15 |
SHA-1 | 29F5E889A9F9FB2FBA48C3DC1B07FB920F5A22AF |
SHA-256 | CC06E0D889BACF5C651A2C97719FE3F9C002CE648E912A2A41D9B4C69352983B |
SHA-512 | 0B1E1C4BC136CB49AAB2B0F730ADBF2201750077F4E4F05B6629649F65C60AB1B0FEC2BE7DC8D2F681C7DE5EC5A8273312FEBAF301866C736D2F679E3548A52F |
SSDEEP | 3:S3yE25MOa9KDciOMX850sn:S3mSOa92X8qsn |
TLSH | T154A022EC08A0C2220883000CE220082083322200A2322000320EC0AE30C0080C0C2808 |
insert-timestamp | 1643199446.4757304 |
mimetype | text/plain |
source | snap:RCdHWRlSM9tt30ISTrybSIVMFYKenOBp_46 |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/astroscrappy/tests/test_cleaning.py |
FileSize | 3044 |
MD5 | 8403103C414168554515400B97AC94B4 |
RDS:package_id | 182052 |
SHA-1 | 2A37CC30711AC8B6061F752DEDFB4BAA77B39294 |
SHA-256 | 78F74946D1342C050D766EE4F58802A5146719A9145E1B1FAFAB35441793C9C3 |
SSDEEP | 48:SUADToW/7mQmMHflHcWMJfvHc7MufsHcqMJfvHcF:SVZ/7cM/9MFAMeyMFO |
TLSH | T17551DE07A63E1D2E15DAF09AE05351484E233B6B66B85005791CC4A47F1E2ADE7F32B9 |
insert-timestamp | 1679426503.6587894 |
source | RDS.db |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/astroscrappy/utils/medutils.c |
FileSize | 43618 |
MD5 | BA347E0859E60096635F84C805B44034 |
RDS:package_id | 182052 |
SHA-1 | 3C9D9399D33CAA778269036C2DF2366F43FFC466 |
SHA-256 | C771FB06E3FCA9C4C4CD7E324C9D96AABFA0832F48994C282C11F8DB03645F3B |
SSDEEP | 384:ukEUDGVgIl5vN+/QBWX/UnnG/OnPMo0Jw2rjzEb0Jmxrj2KtEO0J0s2RrKH7jEpC:ukrGVgIlso9boOdpC |
TLSH | T1AB13452AACC622321653F3EDF759975EC205D01FAB509E427A9D06212F2323D736CBD9 |
insert-timestamp | 1679426503.72459 |
source | RDS.db |
Key | Value |
---|---|
FileName | ./usr/lib/python2.7/dist-packages/astroscrappy/astroscrappy.aarch64-linux-gnu.so |
FileSize | 318560 |
MD5 | DA5D7DF56FF69911653BF00ED7DB35C5 |
SHA-1 | 4488E8DCBC2C9C1C5917C0DC1F64B56400115DED |
SHA-256 | DEC8AA1BF5EE563D60C2FE63617D006F6625A68553A6E8ABCEFF6788DC2680B0 |
SSDEEP | 3072:DMSM+6hgzeySkaC0J+A5r/iXTX4k5oGkiVgyLvjCqphctVytt+j5HzO0nq4jV1i8:I06yISt5Omu0hs3AMV1XxiuyWYwRM |
TLSH | T14E641859EF4E3413E718573C0F6A9131352674CCBB1A95B2255E929CB3C7ADBCA38883 |