Result for 00D23B90DF009A4844E063E42E6F53A504964E20

Query result

Key Value
FileNamesnap-hashlookup-import/connectedhomeip/python_env/lib/python3.10/site-packages/dacite/dataclasses.py
FileSize932
MD533E7C0BB0B764DD0958E99FC86972C0F
SHA-100D23B90DF009A4844E063E42E6F53A504964E20
SHA-256323438AE186ACC9B9143C0FDEE92516C0D62FBE87F7743DB691613B2E53568A8
SHA-512962E47ADD26631AE97B25059B6F21F143ACB81676DC307816F25DB2C0EC4655E073BA8D22B73248CB0525C683CA3C91AAD480471146F45B860E3D13DC6DD04F0
SSDEEP24:1By+XoHue8nkQ3hkFZLybHU3v6k64w/0MLyXlBo5v44RS:eQ3huOuCf4wqXliN44I
TLSHT199115BB575D7E8368953A984541AC021B316FA559F207874BBF822B63F0941492E4B47
insert-timestamp1728980206.44422
mimetypetext/x-python
sourcesnap:GBerlE9aNYdgGnboKfqZK2Fe3Go1PDd9_5
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
SHA-16D5742AEAC9D2F04AB2AD6D59119333FA48BC6D8
snap-authoritycanonical
snap-filenameGBerlE9aNYdgGnboKfqZK2Fe3Go1PDd9_5.snap
snap-idGBerlE9aNYdgGnboKfqZK2Fe3Go1PDd9_5
snap-namematter-bridge-tapo-lighting
snap-publisher-idfnEni7OOr54T1CivYaEi4sGS2RwNJLoY
snap-signkeyBWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp2023-06-16T21:53:39.156510Z
source-urlhttps://api.snapcraft.io/api/v1/snaps/download/GBerlE9aNYdgGnboKfqZK2Fe3Go1PDd9_5.snap
Key Value
FileSize20452
MD537B6F6EF65767C588EA0ECF869792257
PackageDescriptionSimple creation of data classes from dictionaries Passing plain dictionaries as a data container between your functions or methods isn't a good practice. Of course you can always create your custom class instead, but this solution is an overkill if you only want to merge a few fields within a single object. . Fortunately Python has a good solution to this problem - data classes. Thanks to `@dataclass` decorator you can easily create a new custom type with a list of given fields in a declarative manner. Data classes support type hints by design. . However, even if you are using data classes, you have to create their instances somehow. In many such cases, your input is a dictionary - it can be a payload from a HTTP request or a raw data from a database. If you want to convert those dictionaries into data classes, `dacite` is your best friend. . This library was originally created to simplify creation of type hinted data transfer objects (DTO) which can cross the boundaries in the application architecture. . It's important to mention that `dacite` is not a data validation library. There are dozens of awesome data validation projects and it doesn't make sense to duplicate this functionality within `dacite`. If you want to validate your data first, you should combine `dacite` with one of data validation library.
PackageMaintainerDebian Python Team <team+python@tracker.debian.org>
PackageNamepython3-dacite
PackageSectionpython
PackageVersion1.8.0-1
SHA-129E8A86853FB71A8DDD8ED3B4DCF83E88D31DB9D
SHA-256AAB3F44808C5EA9B7459F7202FFC0FE26DDA1A84CA1C912339A4C537300FA02C