Parents (Total: 4)

The searched file hash is included in 4 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	17088
MD5	3D1D9FEF147CCE949AE5EFB93FDF21D5
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-dacite
PackageSection	python
PackageVersion	1.5.1-1
SHA-1	AE2C306F33660AD48B81369C8399A4408CD0546F
SHA-256	766D8A4B306472E90BB5C34352DBC09EC5C44E86954890BBD10ED637F46540FB

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

Key	Value
FileSize	17432
MD5	78BFA38216BDFFFBC8B1CD9B12CA2766
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-dacite
PackageSection	python
PackageVersion	1.6.0-1
SHA-1	A9117DD0A722F531DAC6708FFD15B4DA3D822992
SHA-256	E9B11CB01AB11131771F116A903B5AD0333D8CEDA5D48BF09F4A267BF01064F1