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Merge pull request #7105 from minrk/pickle-np-obj-py2...
Merge pull request #7105 from minrk/pickle-np-obj-py2 add py3compat.buffer_to_bytes_py2

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test_pickleshare.py
60 lines | 1.9 KiB | text/x-python | PythonLexer
from __future__ import print_function
import os
from unittest import TestCase
from IPython.testing.decorators import skip
from IPython.utils.tempdir import TemporaryDirectory
from IPython.utils.pickleshare import PickleShareDB
class PickleShareDBTestCase(TestCase):
def setUp(self):
self.tempdir = TemporaryDirectory()
def tearDown(self):
self.tempdir.cleanup()
def test_picklesharedb(self):
db = PickleShareDB(self.tempdir.name)
db.clear()
print("Should be empty:",db.items())
db['hello'] = 15
db['aku ankka'] = [1,2,313]
db['paths/nest/ok/keyname'] = [1,(5,46)]
db.hset('hash', 'aku', 12)
db.hset('hash', 'ankka', 313)
self.assertEqual(db.hget('hash','aku'), 12)
self.assertEqual(db.hget('hash','ankka'), 313)
print("all hashed",db.hdict('hash'))
print(db.keys())
print(db.keys('paths/nest/ok/k*'))
print(dict(db)) # snapsot of whole db
db.uncache() # frees memory, causes re-reads later
# shorthand for accessing deeply nested files
lnk = db.getlink('myobjects/test')
lnk.foo = 2
lnk.bar = lnk.foo + 5
self.assertEqual(lnk.bar, 7)
@skip("Too slow for regular running.")
def test_stress(self):
db = PickleShareDB('~/fsdbtest')
import time,sys
for i in range(1000):
for j in range(1000):
if i % 15 == 0 and i < 200:
if str(j) in db:
del db[str(j)]
continue
if j%33 == 0:
time.sleep(0.02)
db[str(j)] = db.get(str(j), []) + [(i,j,"proc %d" % os.getpid())]
db.hset('hash',j, db.hget('hash',j,15) + 1 )
print(i, end=' ')
sys.stdout.flush()
if i % 10 == 0:
db.uncache()