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textproc/py-dill,
Serialize all of Python
Branch: CURRENT,
Version: 0.3.9,
Package name: py312-dill-0.3.9,
Maintainer: pkgsrc-usersdill extends python's pickle module for serializing and de-serializing python
objects to the majority of the built-in python types. Serialization is the
process of converting an object to a byte stream, and the inverse of which is
converting a byte stream back to a python object hierarchy.
Required to run:[
lang/python310]
Master sites:
Filesize: 182.617 KB
Version history: (Expand)
- (2024-10-01) Updated to version: py312-dill-0.3.9
- (2024-01-28) Updated to version: py311-dill-0.3.8
- (2023-07-30) Updated to version: py310-dill-0.3.7
- (2022-10-25) Updated to version: py310-dill-0.3.6
- (2022-05-25) Updated to version: py39-dill-0.3.5.1
- (2022-04-20) Package added to pkgsrc.se, version py39-dill-0.3.4 (created)
CVS history: (Expand)
2024-11-11 08:29:31 by Thomas Klausner | Files touched by this commit (862) |
Log message:
py-*: remove unused tool dependency
py-setuptools includes the py-wheel functionality nowadays
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2024-10-01 18:00:38 by Adam Ciarcinski | Files touched by this commit (3) | |
Log message:
py-dill: updated to 0.3.9
0.3.9
further skip BufferedRandomType if does not exist
remove stray import of dbm in objects
Add UnpicklingError import for dill.load_session()
Bump idna from 3.4 to 3.7 in /docs
Bump jinja2 from 3.1.3 to 3.1.4 in /docs
Bump requests from 2.31.0 to 2.32.0 in /docs
Bump tornado from 6.3.3 to 6.4.1 in /docs
update docs requirements to rtfd 10.27.0
Bump certifi from 2024.2.2 to 2024.7.4 in /docs
fix fencepost error when getting source inside decorator in interpreter
type check for Integral, bool by value
diff USE_NUMPY imports numpy.ma
adjust testing to account for frame.f_locals as a proxy in 3.13
better handle import strings of numpy scalars
handle a ThreadHandleType
more extensive testing for dill.source
add formal support for python 3.13
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2024-01-28 14:07:37 by Thomas Klausner | Files touched by this commit (3) | |
Log message:
py-dill: update to 0.3.8.
test for qualname in get_typedef_type by @mmckerns in #613
drop formal support for python 3.7 by @mmckerns in #614
define html_theme as rtd workaround by @mmckerns in #615
update install doc in tests by @mmckerns in #621
formal support for 3.12, initial support for 3.13 by @mmckerns in #630
add build to rtfd config by @mmckerns in #632
add guard for math.log in Logger record size calculation by @mmckerns in #637
updated copyright for 2024 by @mmckerns in #638
Bump jinja2 from 3.1.1 to 3.1.3 in /docs by @dependabot in #640
Import submodule properly when there is an attribute of the module with the \
same name by @kelvinburke in #629
update sphinx to 6.2.1 by @mmckerns in #641
Bump readthedocs-sphinx-search from 0.3.1 to 0.3.2 in /docs by @dependabot \
in #642
skip BufferedRandomType on pyodide by @mmckerns in #644
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2023-07-30 10:15:38 by Adam Ciarcinski | Files touched by this commit (4) | |
Log message:
py-dill: updated to 0.3.7
0.3.7
Fix _is_builtin_module
minor changes
align LICENSE wording with BSD-3-Clause
Python 3 Metaclasses [Support ABC and Enums - Part 1]
Abstract Base Classes [Support ABC and Enums - Part 2]
fix typo
Bump requests from 2.27.1 to 2.31.0 in /docs
Fixed crashed in _dill._is_builtin_module when a module's file is None
Bump pygments from 2.11.2 to 2.15.0 in /docs
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2022-10-25 20:44:40 by Adam Ciarcinski | Files touched by this commit (3) | |
Log message:
py-dill: updated to 0.3.6
dill-0.3.6
With dill, you can serialize almost anything in python, even an entire \
interpreter session. If you encounter any pickling failures, dill also has some \
good tools to help you discover why your object fails to pickle.
dill installs with pip:
$ pip install dill
dill requires:
- python or pypy, >=3.7
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2022-05-25 14:18:26 by Adam Ciarcinski | Files touched by this commit (3) | |
Log message:
py-dill: updated to 0.3.5.1
0.3.5.1:
Unknown changes
|
2022-04-20 12:40:29 by Adam Ciarcinski | Files touched by this commit (5) |
Log message:
py-dill: added version 0.3.4
dill extends python's pickle module for serializing and de-serializing python
objects to the majority of the built-in python types. Serialization is the
process of converting an object to a byte stream, and the inverse of which is
converting a byte stream back to a python object hierarchy.
|