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authornkozlovskiy <nmk@ydb.tech>2023-09-29 12:24:06 +0300
committernkozlovskiy <nmk@ydb.tech>2023-09-29 12:41:34 +0300
commite0e3e1717e3d33762ce61950504f9637a6e669ed (patch)
treebca3ff6939b10ed60c3d5c12439963a1146b9711 /contrib/python/pickleshare/py2/.dist-info
parent38f2c5852db84c7b4d83adfcb009eb61541d1ccd (diff)
downloadydb-e0e3e1717e3d33762ce61950504f9637a6e669ed.tar.gz
add ydb deps
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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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+pickleshare