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
FileSize	18172
MD5	C5DFF01E66CEF189845174B5C303D9EA
PackageDescription	Simple 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.
PackageMaintainer	Debian Python Team <team+python@tracker.debian.org>
PackageName	python3-dacite
PackageSection	python
PackageVersion	1.6.0-1
SHA-1	0E47699A8D5DF4DC5B91678924306156FC275676
SHA-256	9BAB56D650F37550AD90818DC6FF4AFEFAF1818968C205D4E27E56323685A6C0

Key	Value
FileSize	18120
MD5	CBE5038AAB36813A46AE13E10D314C5D
PackageDescription	Simple 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.
PackageMaintainer	Debian Python Team <team+python@tracker.debian.org>
PackageName	python3-dacite
PackageSection	python
PackageVersion	1.6.0-2
SHA-1	E0C655470839C7501F769E9724F8A0B6852ACA1B
SHA-256	46BA7E7417B95AE7AFDAA60FD155E4B53439EECABF17EA82A600E3079E2BE1DB