This file is indexed.

/usr/lib/python2.7/dist-packages/pickleshare.py is in python-pickleshare 0.7.4-1.

This file is owned by root:root, with mode 0o644.

The actual contents of the file can be viewed below.

  1
  2
  3
  4
  5
  6
  7
  8
  9
 10
 11
 12
 13
 14
 15
 16
 17
 18
 19
 20
 21
 22
 23
 24
 25
 26
 27
 28
 29
 30
 31
 32
 33
 34
 35
 36
 37
 38
 39
 40
 41
 42
 43
 44
 45
 46
 47
 48
 49
 50
 51
 52
 53
 54
 55
 56
 57
 58
 59
 60
 61
 62
 63
 64
 65
 66
 67
 68
 69
 70
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
#!/usr/bin/env python

""" 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()
    del db['aku ankka']

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 path pickleshare

Author: Ville Vainio <vivainio@gmail.com>
License: MIT open source license.

"""

from __future__ import print_function


__version__ = "0.7.4"

try:
    from pathlib import Path
except ImportError:
    # Python 2 backport
    from pathlib2 import Path

import os,stat,time
import collections
try:
    import cPickle as pickle
except ImportError:
    import pickle
import errno
import sys

if sys.version_info[0] >= 3:
    string_types = (str,)
else:
    string_types = (str, unicode)

def gethashfile(key):
    return ("%02x" % abs(hash(key) % 256))[-2:]

_sentinel = object()

class PickleShareDB(collections.MutableMapping):
    """ The main 'connection' object for PickleShare database """
    def __init__(self,root):
        """ Return a db object that will manage the specied directory"""
        if not isinstance(root, string_types):
            root = str(root)
        root = os.path.abspath(os.path.expanduser(root))
        self.root = Path(root)
        if not self.root.is_dir():
            # catching the exception is necessary if multiple processes are concurrently trying to create a folder
            # exists_ok keyword argument of mkdir does the same but only from Python 3.5
            try:
                self.root.mkdir(parents=True)
            except OSError as e:
                if e.errno != errno.EEXIST:
                    raise
        # cache has { 'key' : (obj, orig_mod_time) }
        self.cache = {}


    def __getitem__(self,key):
        """ db['key'] reading """
        fil = self.root / key
        try:
            mtime = (fil.stat()[stat.ST_MTIME])
        except OSError:
            raise KeyError(key)

        if fil in self.cache and mtime == self.cache[fil][1]:
            return self.cache[fil][0]
        try:
            # The cached item has expired, need to read
            with fil.open("rb") as f:
                obj = pickle.loads(f.read())
        except:
            raise KeyError(key)

        self.cache[fil] = (obj,mtime)
        return obj

    def __setitem__(self,key,value):
        """ db['key'] = 5 """
        fil = self.root / key
        parent = fil.parent
        if parent and not parent.is_dir():
            parent.mkdir(parents=True)
        # We specify protocol 2, so that we can mostly go between Python 2
        # and Python 3. We can upgrade to protocol 3 when Python 2 is obsolete.
        with fil.open('wb') as f:
            pickle.dump(value, f, protocol=2)
        try:
            self.cache[fil] = (value, fil.stat().st_mtime)
        except OSError as e:
            if e.errno != errno.ENOENT:
                raise

    def hset(self, hashroot, key, value):
        """ hashed set """
        hroot = self.root / hashroot
        if not hroot.is_dir():
            hroot.mkdir()
        hfile = hroot / gethashfile(key)
        d = self.get(hfile, {})
        d.update( {key : value})
        self[hfile] = d



    def hget(self, hashroot, key, default = _sentinel, fast_only = True):
        """ hashed get """
        hroot = self.root / hashroot
        hfile = hroot / gethashfile(key)

        d = self.get(hfile, _sentinel )
        #print "got dict",d,"from",hfile
        if d is _sentinel:
            if fast_only:
                if default is _sentinel:
                    raise KeyError(key)

                return default

            # slow mode ok, works even after hcompress()
            d = self.hdict(hashroot)

        return d.get(key, default)

    def hdict(self, hashroot):
        """ Get all data contained in hashed category 'hashroot' as dict """
        hfiles = self.keys(hashroot + "/*")
        hfiles.sort()
        last = len(hfiles) and hfiles[-1] or ''
        if last.endswith('xx'):
            # print "using xx"
            hfiles = [last] + hfiles[:-1]

        all = {}

        for f in hfiles:
            # print "using",f
            try:
                all.update(self[f])
            except KeyError:
                print("Corrupt",f,"deleted - hset is not threadsafe!")
                del self[f]

            self.uncache(f)

        return all

    def hcompress(self, hashroot):
        """ Compress category 'hashroot', so hset is fast again

        hget will fail if fast_only is True for compressed items (that were
        hset before hcompress).

        """
        hfiles = self.keys(hashroot + "/*")
        all = {}
        for f in hfiles:
            # print "using",f
            all.update(self[f])
            self.uncache(f)

        self[hashroot + '/xx'] = all
        for f in hfiles:
            p = self.root / f
            if p.name == 'xx':
                continue
            p.unlink()



    def __delitem__(self,key):
        """ del db["key"] """
        fil = self.root / key
        self.cache.pop(fil,None)
        try:
            fil.unlink()
        except OSError:
            # notfound and permission denied are ok - we
            # lost, the other process wins the conflict
            pass

    def _normalized(self, p):
        """ Make a key suitable for user's eyes """
        return str(p.relative_to(self.root)).replace('\\','/')

    def keys(self, globpat = None):
        """ All keys in DB, or all keys matching a glob"""

        if globpat is None:
            files = self.root.rglob('*')
        else:
            files = self.root.glob(globpat)
        return [self._normalized(p) for p in files if p.is_file()]

    def __iter__(self):
        return iter(self.keys())

    def __len__(self):
        return len(self.keys())

    def uncache(self,*items):
        """ Removes all, or specified items from cache

        Use this after reading a large amount of large objects
        to free up memory, when you won't be needing the objects
        for a while.

        """
        if not items:
            self.cache = {}
        for it in items:
            self.cache.pop(it,None)

    def waitget(self,key, maxwaittime = 60 ):
        """ Wait (poll) for a key to get a value

        Will wait for `maxwaittime` seconds before raising a KeyError.
        The call exits normally if the `key` field in db gets a value
        within the timeout period.

        Use this for synchronizing different processes or for ensuring
        that an unfortunately timed "db['key'] = newvalue" operation
        in another process (which causes all 'get' operation to cause a
        KeyError for the duration of pickling) won't screw up your program
        logic.
        """

        wtimes = [0.2] * 3 + [0.5] * 2 + [1]
        tries = 0
        waited = 0
        while 1:
            try:
                val = self[key]
                return val
            except KeyError:
                pass

            if waited > maxwaittime:
                raise KeyError(key)

            time.sleep(wtimes[tries])
            waited+=wtimes[tries]
            if tries < len(wtimes) -1:
                tries+=1

    def getlink(self,folder):
        """ Get a convenient link for accessing items  """
        return PickleShareLink(self, folder)

    def __repr__(self):
        return "PickleShareDB('%s')" % self.root



class PickleShareLink:
    """ A shortdand for accessing nested PickleShare data conveniently.

    Created through PickleShareDB.getlink(), example::

        lnk = db.getlink('myobjects/test')
        lnk.foo = 2
        lnk.bar = lnk.foo + 5

    """
    def __init__(self, db, keydir ):
        self.__dict__.update(locals())

    def __getattr__(self,key):
        return self.__dict__['db'][self.__dict__['keydir']+'/' + key]
    def __setattr__(self,key,val):
        self.db[self.keydir+'/' + key] = val
    def __repr__(self):
        db = self.__dict__['db']
        keys = db.keys( self.__dict__['keydir'] +"/*")
        return "<PickleShareLink '%s': %s>" % (
            self.__dict__['keydir'],
            ";".join([Path(k).basename() for k in keys]))

def main():
    import textwrap
    usage = textwrap.dedent("""\
    pickleshare - manage PickleShare databases

    Usage:

        pickleshare dump /path/to/db > dump.txt
        pickleshare load /path/to/db < dump.txt
        pickleshare test /path/to/db
    """)
    DB = PickleShareDB
    import sys
    if len(sys.argv) < 2:
        print(usage)
        return

    cmd = sys.argv[1]
    args = sys.argv[2:]
    if cmd == 'dump':
        if not args: args= ['.']
        db = DB(args[0])
        import pprint
        pprint.pprint(db.items())
    elif cmd == 'load':
        cont = sys.stdin.read()
        db = DB(args[0])
        data = eval(cont)
        db.clear()
        for k,v in db.items():
            db[k] = v
    elif cmd == 'testwait':
        db = DB(args[0])
        db.clear()
        print(db.waitget('250'))
    elif cmd == 'test':
        test()
        stress()

if __name__== "__main__":
    main()