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devel/py-cattrs23: Add py-cattrs23 23.2.3 (copied from py-cattrs)

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- Add PORTSCOUT
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Po-Chuan Hsieh 2024-10-14 12:45:07 +08:00
parent 15e092c5a2
commit dabbe8449f
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1
devel/Makefile
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@ -4593,6 +4593,7 @@
SUBDIR += py-castellan
SUBDIR += py-catalogue
SUBDIR += py-cattrs
SUBDIR += py-cattrs23
SUBDIR += py-cbor
SUBDIR += py-cbor2
SUBDIR += py-cclib

34
devel/py-cattrs23/Makefile Normal file
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@ -0,0 +1,34 @@
PORTNAME= cattrs
PORTVERSION= 23.2.3
CATEGORIES= devel python
MASTER_SITES= PYPI
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
PKGNAMESUFFIX= 23
MAINTAINER= sunpoet@FreeBSD.org
COMMENT= Composable complex class support for attrs and dataclasses
WWW= https://catt.rs/en/stable/ \
https://github.com/python-attrs/cattrs
LICENSE= MIT
LICENSE_FILE= ${WRKSRC}/LICENSE
BUILD_DEPENDS= ${PYTHON_PKGNAMEPREFIX}hatch-vcs>=0:devel/py-hatch-vcs@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}hatchling>=0:devel/py-hatchling@${PY_FLAVOR}
RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}attrs>=23.1.0:devel/py-attrs@${PY_FLAVOR} \
${PY_EXCEPTIONGROUP}
USES= python
USE_PYTHON= autoplist concurrent pep517
NO_ARCH= yes
PORTSCOUT= limit:^23\.
.include <bsd.port.pre.mk>
.if ${PYTHON_REL} < 31100
RUN_DEPENDS+= ${PYTHON_PKGNAMEPREFIX}typing-extensions>=4.1.0:devel/py-typing-extensions@${PY_FLAVOR}
.endif
.include <bsd.port.post.mk>

3
devel/py-cattrs23/distinfo Normal file
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@ -0,0 +1,3 @@
TIMESTAMP = 1701363700
SHA256 (cattrs-23.2.3.tar.gz) = a934090d95abaa9e911dac357e3a8699e0b4b14f8529bcc7d2b1ad9d51672b9f
SIZE (cattrs-23.2.3.tar.gz) = 610215

21
devel/py-cattrs23/pkg-descr Normal file
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@ -0,0 +1,21 @@
cattrs is an open source Python library for structuring and unstructuring data.
cattrs works best with attrs classes, dataclasses and the usual Python
collections, but other kinds of classes are supported by manually registering
converters.
Python has a rich set of powerful, easy to use, built-in data types like
dictionaries, lists and tuples. These data types are also the lingua franca of
most data serialization libraries, for formats like json, msgpack, yaml or toml.
Data types like this, and mappings like dict s in particular, represent
unstructured data. Your data is, in all likelihood, structured: not all
combinations of field names or values are valid inputs to your programs. In
Python, structured data is better represented with classes and enumerations.
attrs is an excellent library for declaratively describing the structure of your
data, and validating it.
When you're handed unstructured data (by your network, file system,
database...), cattrs helps to convert this data into structured data. When you
have to convert your structured data into data types other libraries can handle,
cattrs turns your classes and enumerations into dictionaries, integers and
strings.