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[ 原始碼: python-orjson  ]

套件:python3-orjson(3.10.7-2)

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JSON parsing Python library

Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy orjson is a fast, correct JSON library for Python. It benchmarks as the fastest Python library for JSON and is more correct than the standard json library or other third-party libraries. It serializes dataclass, datetime, numpy, and UUID instances natively.

Its features and drawbacks compared to other Python JSON libraries:

 * serializes `dataclass` instances 40-50x as fast as other libraries
 * serializes `datetime`, `date`, and `time` instances to RFC 3339 format,
   e.g., "1970-01-01T00:00:00+00:00"
 * serializes `numpy.ndarray` instances 4-12x as fast with 0.3x the memory
   usage of other libraries
 * pretty prints 10x to 20x as fast as the standard library
 * serializes to `bytes` rather than `str`, i.e., is not a drop-in replacement
 * serializes `str` without escaping unicode to ASCII, e.g., "好" rather than
 "\\\u597d"
 * serializes `float` 10x as fast and deserializes twice as fast as other
   libraries
 * serializes subclasses of `str`, `int`, `list`, and `dict` natively,
 requiring `default` to specify how to serialize others
 * serializes arbitrary types using a `default` hook
 * has strict UTF-8 conformance, more correct than the standard library
 * has strict JSON conformance in not supporting Nan/Infinity/-Infinity
 * has an option for strict JSON conformance on 53-bit integers with default
   support for 64-bit
 * does not provide `load()` or `dump()` functions for reading from/writing to
   file-like objects

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硬體架構 套件大小 安裝後大小 檔案
amd64 274。3 kB1,283。0 kB [檔案列表]
arm64 249。8 kB1,235。0 kB [檔案列表]
armel 264。5 kB1,297。0 kB [檔案列表]
armhf 259。5 kB1,185。0 kB [檔案列表]
i386 292。3 kB1,313。0 kB [檔案列表]
mips64el 269。6 kB1,757。0 kB [檔案列表]
ppc64 (非官方移植版) 267。3 kB1,491。0 kB [檔案列表]
ppc64el 276。6 kB1,491。0 kB [檔案列表]
riscv64 284。2 kB1,171。0 kB [檔案列表]
s390x 303。7 kB1,723。0 kB [檔案列表]
sparc64 (非官方移植版) 259。7 kB2,137。0 kB [檔案列表]