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Batuhan Berk Başoğlu 2020-11-12 11:05:57 -05:00
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venv/Lib/site-packages/pickleshare-0.7.5.dist-info/DESCRIPTION.rst Normal file
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PickleShare - a small 'shelve' like datastore with concurrency support
Like shelve, a PickleShareDB object acts like a normal dictionary. Unlike shelve,
many processes can access the database simultaneously. Changing a value in
database is immediately visible to other processes accessing the same database.
Concurrency is possible because the values are stored in separate files. Hence
the "database" is a directory where *all* files are governed by PickleShare.
Example usage::
from pickleshare import *
db = PickleShareDB('~/testpickleshare')
db.clear()
print("Should be empty:",db.items())
db['hello'] = 15
db['aku ankka'] = [1,2,313]
db['paths/are/ok/key'] = [1,(5,46)]
print(db.keys())
This module is certainly not ZODB, but can be used for low-load
(non-mission-critical) situations where tiny code size trumps the
advanced features of a "real" object database.
Installation guide: pip install pickleshare

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venv/Lib/site-packages/pickleshare-0.7.5.dist-info/INSTALLER Normal file
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pip

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venv/Lib/site-packages/pickleshare-0.7.5.dist-info/METADATA Normal file
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Metadata-Version: 2.0
Name: pickleshare
Version: 0.7.5
Summary: Tiny 'shelve'-like database with concurrency support
Home-page: https://github.com/pickleshare/pickleshare
Author: Ville Vainio
Author-email: vivainio@gmail.com
License: MIT
Keywords: database persistence pickle ipc shelve
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Requires-Dist: pathlib2; python_version in "2.6 2.7 3.2 3.3"
PickleShare - a small 'shelve' like datastore with concurrency support
Like shelve, a PickleShareDB object acts like a normal dictionary. Unlike shelve,
many processes can access the database simultaneously. Changing a value in
database is immediately visible to other processes accessing the same database.
Concurrency is possible because the values are stored in separate files. Hence
the "database" is a directory where *all* files are governed by PickleShare.
Example usage::
from pickleshare import *
db = PickleShareDB('~/testpickleshare')
db.clear()
print("Should be empty:",db.items())
db['hello'] = 15
db['aku ankka'] = [1,2,313]
db['paths/are/ok/key'] = [1,(5,46)]
print(db.keys())
This module is certainly not ZODB, but can be used for low-load
(non-mission-critical) situations where tiny code size trumps the
advanced features of a "real" object database.
Installation guide: pip install pickleshare

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venv/Lib/site-packages/pickleshare-0.7.5.dist-info/RECORD Normal file
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venv/Lib/site-packages/pickleshare-0.7.5.dist-info/WHEEL Normal file
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Wheel-Version: 1.0
Generator: bdist_wheel (0.29.0)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

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venv/Lib/site-packages/pickleshare-0.7.5.dist-info/metadata.json Normal file
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{"classifiers": ["License :: OSI Approved :: MIT License", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3"], "extensions": {"python.details": {"contacts": [{"email": "vivainio@gmail.com", "name": "Ville Vainio", "role": "author"}], "document_names": {"description": "DESCRIPTION.rst"}, "project_urls": {"Home": "https://github.com/pickleshare/pickleshare"}}}, "extras": [], "generator": "bdist_wheel (0.29.0)", "keywords": ["database", "persistence", "pickle", "ipc", "shelve"], "license": "MIT", "metadata_version": "2.0", "name": "pickleshare", "run_requires": [{"environment": "python_version in \"2.6 2.7 3.2 3.3\"", "requires": ["pathlib2"]}], "summary": "Tiny 'shelve'-like database with concurrency support", "version": "0.7.5"}

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venv/Lib/site-packages/pickleshare-0.7.5.dist-info/top_level.txt Normal file
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pickleshare