Key | Value |
---|---|
FileName | usr/lib/python3.12/site-packages/sklift/__init__.py |
FileSize | 22 |
MD5 | 791DA9A30D01E711D239B452F50B03BA |
SHA-1 | 3C997A445817C76ECBD024872131462F87DDEAE6 |
SHA-256 | B3C62AF4E9B5C81C6B300EF1610E58D773DA7AEC67ABDF4DC61CA3B8F9671FA0 |
SHA-512 | E090D42655E27927703B46E5FEC5751664C8C63B6006A6922E684001DD078E6BDD31B20B141ABF27F068FB3FD76B3AA4990F56F3E2AF7018539329A79ACF6603 |
SSDEEP | 3:cvYkP:8YkP |
TLSH | |
insert-timestamp | 1727099874.23471 |
mimetype | text/plain |
source | snap:3kFnx0wXKqAEC9ULxiE3c89y5uNpCM9i_60 |
tar:gname | root |
tar:uname | root |
hashlookup:parent-total | 19 |
hashlookup:trust | 100 |
The searched file hash is included in 19 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | http://dl-cdn.alpinelinux.org/alpine/latest-stable//community//x86_64//py3-scikit-uplift-0.5.1-r2.apk |
MD5 | 2EBEBBEF05E594D440BA5ADCA40617F6 |
SHA-1 | 26A1A9A9A2CF00A7313BBD98EA01C214C44B7700 |
SHA-256 | FCCF5C21C4B368BA004E529965FE2128FCDE6FB243FFF784CFC1F5A954572A2A |
SSDEEP | 768:izGGjHggkQL3qK78msUVbVv+Ykeg20ROHFrTL3hVXpEo6DghAvD/7:uGGjPb7dswbVv+demOHFj3hVokhA/ |
TLSH | T1A403F15BC08127F61D07D93B4A6ABB8C37BC1CE46D96DA2872ED50F5CA45B01194ACCE |
Key | Value |
---|---|
MD5 | E97628EDD6C3896AB6C5095177EF7EEA |
PackageArch | noarch |
PackageDescription | pypet is the Python parameter exploration toolkit. pypet manages exploration of the parameter space of any numerical simulation in Python, thereby storing data into HDF5 files. Moreover, pypet offers a data container which gives access to all parameters and results from a single source. |
PackageName | python39-pypet |
PackageRelease | 10.5 |
PackageVersion | 0.5.1 |
SHA-1 | 3FA02E760D56762A2CEE3C98635E4B0CFD1A61DA |
SHA-256 | 4FADF28B15D9FC898FBB16169B8059E780D679BF6B80682467F81B286807519A |
Key | Value |
---|---|
MD5 | F36B5779255D64890ADC394EC1F7BF03 |
PackageArch | noarch |
PackageDescription | Python3 module for krop. |
PackageMaintainer | Fedora Project |
PackageName | python3-krop |
PackageRelease | 10.fc34 |
PackageVersion | 0.5.1 |
SHA-1 | 4358F081AB31A5309355CBEB3B5423EA9BAC1580 |
SHA-256 | 406FC29BA64F13B62FE0C891C07EB851CEA80915DAAE93DD08F53108367D469F |
Key | Value |
---|---|
SHA-1 | 4366CC57FF749AAE723E245B1B039D9AC654927E |
snap-authority | canonical |
snap-filename | 3kFnx0wXKqAEC9ULxiE3c89y5uNpCM9i_60.snap |
snap-id | 3kFnx0wXKqAEC9ULxiE3c89y5uNpCM9i_60 |
snap-name | jupyter-aj |
snap-publisher-id | ePS5N3uAeJpnrPhX5eCDBwQdhWrm6XMG |
snap-signkey | BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul |
snap-timestamp | 2021-02-15T16:48:38.856255Z |
source-url | https://api.snapcraft.io/api/v1/snaps/download/3kFnx0wXKqAEC9ULxiE3c89y5uNpCM9i_60.snap |
Key | Value |
---|---|
FileName | http://dl-cdn.alpinelinux.org/alpine/latest-stable//community//x86_64//py3-scikit-uplift-0.5.1-r3.apk |
MD5 | D89AB4CD8715BA89755FC9BC850EBF97 |
SHA-1 | 52225049A20DBD579252A93F38234D6619080112 |
SHA-256 | 21EEE3E619B2CFA493168777991EE9DFEC53ACCCBC0D76DF1E3C3640AC66B743 |
SSDEEP | 768:iU7cGpoPi8DYtKAW9GLzfwnWKm7tYPkMSeu2upXfz8pAR1bc:HxS5YtKoLbKZPE2upXfzp1o |
TLSH | T13403F15CF323B2E70297C8AE8A91B63C56DB0CB4E8906CFF0B2452966D19794C559B13 |
Key | Value |
---|---|
MD5 | A4264800860B4851570C1B4D76466F94 |
PackageArch | noarch |
PackageDescription | pypet is the Python parameter exploration toolkit. pypet manages exploration of the parameter space of any numerical simulation in Python, thereby storing data into HDF5 files. Moreover, pypet offers a data container which gives access to all parameters and results from a single source. |
PackageName | python3-pypet |
PackageRelease | lp151.3.1 |
PackageVersion | 0.5.1 |
SHA-1 | 6AE0246D56CBB33242BE8BDE90DA5449C91B1D9C |
SHA-256 | 85E192797429590712BDBEFC7465AEB2C273B672ACE0BEE13CBD08B91C4D904A |
Key | Value |
---|---|
FileSize | 19634 |
MD5 | 79C25B826D485C13AEB95CF8A646F6E9 |
PackageDescription | Class based template tags for Django projects django-classy-tags is an approach at making writing template tags in Django easier, shorter and more fun. It provides an extensible argument parser which reduces most of the boiler plate code you usually have to write when coding custom template tags. . django-classy-tags does no magic by design. Thus you will not get automatic registering/loading of your tags like other solutions provide. You will not get automatic argument guessing from function signatures but rather you have to declare what arguments your tag accepts. There is no magic in your template tag class either, it’s just a subclass of django.template.Node which invokes a parser class to parse the arguments when it’s initialized and resolves those arguments into keyword arguments in it’s render method and calls its render_tag method with those keyword arguments. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-django-classy-tags |
PackageSection | python |
PackageVersion | 0.5.1-4 |
SHA-1 | 6C6E5B6CCAA744537619F4DCADCD081DD5B01493 |
SHA-256 | 0CA35E46F75758E95481476DFED3FF50CE006CE94AC3DEB72416F61740E6E899 |
Key | Value |
---|---|
MD5 | D4D7BB1857D25EC7760018F22C396F88 |
PackageArch | noarch |
PackageDescription | Python3 module for krop. |
PackageMaintainer | Fedora Project |
PackageName | python3-krop |
PackageRelease | 9.fc33 |
PackageVersion | 0.5.1 |
SHA-1 | 7773D14BB1DCB8644EB04F51CA84D4AAF786B4C9 |
SHA-256 | B7A40AB0EB73069046F22E0ACD477F9FEC2105C1E8A40A8AD6EA14F9ECD66AD2 |
Key | Value |
---|---|
FileName | http://dl-cdn.alpinelinux.org/alpine/latest-stable//community//x86_64//py3-scikit-uplift-0.5.1-r4.apk |
MD5 | C447C3B982604C413B9B8A2B055D30BC |
SHA-1 | 7F7C4810EAA3CEDA2AE1565944D307109CB442F3 |
SHA-256 | A496A1C2F858FC15501B71A68F145BA6BEEC3020200EA494E10F7EFEDA05BAFE |
SSDEEP | 768:iVa7/RxaluLrYd5r0aOfQ01HQ49hsY7QtopSh+M2YfUtjosRGw:R7/R7LrE5wHQ01wMhsY7whewUNzh |
TLSH | T15603F257D34139D388E810B938041D4AF50B4F326D1EA5E9578181E927F9FDF9C2AEA3 |
Key | Value |
---|---|
FileSize | 19758 |
MD5 | 0F6E3A0D925B9FD6F3BFEF3214CA0680 |
PackageDescription | Class based template tags for Django projects (Python3 version) django-classy-tags is an approach at making writing template tags in Django easier, shorter and more fun. It provides an extensible argument parser which reduces most of the boiler plate code you usually have to write when coding custom template tags. . django-classy-tags does no magic by design. Thus you will not get automatic registering/loading of your tags like other solutions provide. You will not get automatic argument guessing from function signatures but rather you have to declare what arguments your tag accepts. There is no magic in your template tag class either, it’s just a subclass of django.template.Node which invokes a parser class to parse the arguments when it’s initialized and resolves those arguments into keyword arguments in it’s render method and calls its render_tag method with those keyword arguments. . This package contains the Python 3 version of the library. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python3-django-classy-tags |
PackageSection | python |
PackageVersion | 0.5.1-4 |
SHA-1 | 8F45610545B877DE8F30A66E468E00982DC65143 |
SHA-256 | 6F759116B4668C01F28D3AECFAFBDF5D18761F550805186EECAC65E1E53DEF9B |