tware or interest.
-Original Message-
From: Tutor On Behalf Of
Alan Gauld via Tutor
Sent: Tuesday, September 3, 2024 4:41 AM
To: tu...@python.org
Cc: python-list@python.org
Subject: Re: [Tutor] Getting a Process.start() error pickle.PicklingError:
Can't pickle : it's not found
On 9/2/24 11:36, Barry Scott wrote:
On 2 Sep 2024, at 15:00, marc nicole via Python-list
wrote:
I am using Python 2.7 on Windows 10
Why? Install Python 3.12 and it will be easier to get help and support.
If you have legacy that still needs porting then you can install 3.12 along side
the
ore or after the error message? It might make things easier to
> debug(clearer error traceback) if you put the code to create the thread
> into a separate function?
>
> def do_Something(text)...
>
> def start(fn):
>q = Process
>q.start()
>
> if __name_
>
> On 2 Sep 2024, at 15:00, marc nicole via Python-list
> wrote:
>
> I am using Python 2.7 on Windows 10
Why? Install Python 3.12 and it will be easier to get help and support.
If you have legacy that still needs porting then you can install 3.12 along side
the unsupported 3.12.
Barry
--
PicklingError: Can't pickle : it's not found as
__builtin__.module
anybody could provide an alternative to call the function do_something() in
a separate thread ?
--
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Charles,
by your own admission, you deleted your pkl file,
And your code doesn't write that pkl file (pickle.dumps(...) doesn't
write a file it creates a new string and at no point will it write to
the file :
What you need is this :
import pickle
On 4/19/2023 12:14 PM, charles wiewiora wrote:
Hello,
I am experincing problems with the pickle moducle
the folowing code was working before,
import pickle
number=2
my_pickeld_object=pickle.dumps(number)
print("this is my pickled object",{my_pickeld_object},)
with open('file.pkl&
Hello,
I am experincing problems with the pickle moducle
the folowing code was working before,
import pickle
number=2
my_pickeld_object=pickle.dumps(number)
print("this is my pickled object",{my_pickeld_object},)
with open('file.pkl', 'rb') as fil
On Sat, 19 Feb 2022 at 05:47, UTKARSH PANDEY wrote:
>
> On Wednesday, August 8, 2012 at 8:37:33 PM UTC+5:30, lipska the kat wrote:
> > ...
> Directly read bytes from file and send it over the socket object from client
> side in while loop until all content from file is read.
>
Almost ten years.
.org/py3k/tutorial/inputoutput.html#reading-and-writing-files
>
>
> it should be straightforward to read and write pickled files
> Not sure why you want to pickle a text file over the network when you
> could just stream it between ports !
>
> however ...
>
> I'm
the pickling of views and iter types. Python segfaults if I try to pickle
> them.
>
> For example, I have:
>
>
> static PyTypeObject PyFrozenDictIterKey_Type = {
> PyVarObject_HEAD_INIT(NULL, 0)
> "frozendict.keyiterator",
I have a custom implementation of dict using a C extension. All works but
the pickling of views and iter types. Python segfaults if I try to pickle
them.
For example, I have:
static PyTypeObject PyFrozenDictIterKey_Type = {
PyVarObject_HEAD_INIT(NULL, 0)
"frozendict.keyite
Thanks for all your kind help, wish you a promising year!
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econd.
Oh and yes use JSON, it is far better as a way of exchanging data than pickle.
Easy to read and check, can be processes in many languages.
Barry
>
> On Sat, 1 Jan 2022 at 14:11, Barry wrote:
>>
>>
>>
>>> On 31 Dec 2021, at 17:53, iMath wrote:
>>
ry, Chris and Avi. IMHO your data is lost. Unpickling
> >> it by hand is a harsh work and maybe unreliable.
> >>
> >> Is there any reason you can't simply add a semaphore to avoid writing
> >> at the same time and re-run the code and regenerate the data?
> >
and re-run the code and regenerate the data?
>
> Thanks for your replies! I didn't have a sense of adding a semaphore on
> writing to pickle data before, so corrupted the data.
> Since my data was colleted in the daily usage, so cannot re-run the code and
> regenerate the dat
a sense of adding a semaphore on writing
to pickle data before, so corrupted the data.
Since my data was colleted in the daily usage, so cannot re-run the code and
regenerate the data.
In order to avoid corrupting my data again and the complicity of using a
semaphore, now I am using json text
On Wed, 29 Dec 2021 at 18:33, iMath wrote:
> But I found the size of the file of the shelve data didn't change much, so I
> guess the data are still in it , I just wonder any way to recover my data.
I agree with Barry, Chris and Avi. IMHO your data is lost. Unpickling
it by hand is a harsh work
checking it. But
corruption can happen for many reasons including at the level of the disk it
is written to.
-Original Message-
From: Python-list On
Behalf Of iMath
Sent: Wednesday, December 29, 2021 10:51 AM
To: python-list@python.org
Subject: Re: recover pickled data: pickle data was
ersions got interleaved, in which case I
strongly advise you NOT to try unpickling it.
If you really feel like delving into it, try manually decoding the
pickle stream, but be very careful.
ChrisA
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> You have lost the data in that case.
But I found the size of the file of the shelve data didn't change much, so I
guess the data are still in it , I just wonder any way to recover my data.
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write by two
>> processes, thus corrupted it. Is there any way to recover all data in it ?
>> Currently I just get "pickle data was truncated" exception after reading a
>> portion of the data?
You have lost the data in that case.
You will need to do what Marco sugge
l data in it ?
> Currently I just get "pickle data was truncated" exception after reading a
> portion of the data?
>
> Data and code here
> :https://drive.google.com/file/d/137nJFc1TvOge88EjzhnFX9bXg6vd0RYQ/view?usp=sharing
> --
> https://mail.python.org/mailman/listinfo/pyth
Normally, the shelve data should be read and write by only one process at a
time, but unfortunately it was simultaneously read and write by two processes,
thus corrupted it. Is there any way to recover all data in it ? Currently I
just get "pickle data was truncated" exception after
20.10.20 17:12, Marco Sulla пише:
> On Tue, 20 Oct 2020 at 16:07, Serhiy Storchaka wrote:
>> You can use PyDict_New() + PyDict_Merge() to create a dict from your
>> mapping.
> Well, yes, I know. I just wrote it for simplicity now. Do you think this is
> the problem?
I think that it can be more pe
On Tue, 20 Oct 2020 at 16:12, Marco Sulla
wrote:
> tp_name of your class should include the module name.
>>
>
> It will be done :-)
>
It was the name... Thank you a lot!
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On Tue, 20 Oct 2020 at 16:07, Serhiy Storchaka wrote:
> You can use PyDict_New() + PyDict_Merge() to create a dict from your
> mapping.
>
Well, yes, I know. I just wrote it for simplicity now. Do you think this is
the problem?
I forgot to say that copy and deepcopy works. For what I know, they u
20.10.20 01:28, Marco Sulla пише:
> PyObject *d = PyObject_Call((PyObject *)&PyDict_Type, args, NULL);
You can use PyDict_New() + PyDict_Merge() to create a dict from your
mapping.
> but I get:
> _pickle.PicklingError: Can't pickle : attribute lookup
> frozendict on bui
*)&PyDict_Type, args, NULL);
Py_INCREF(mp);
return Py_BuildValue("O(N)", Py_TYPE(mp), d);
}
but I get:
_pickle.PicklingError: Can't pickle : attribute lookup
frozendict on builtins failed
The identical (?) Python code works:
def __reduce__(self, *args, **kwargs):
ret
On 2019-12-16 08:56:26 +0100, dieter wrote:
> Note also that Python memeory management is quite elaborate:
> not every memory block is immediately obtained from and released
> to the operating system: Python has its own memory management
> data structures (to fill the gap between the fine grained
>
on the IRC channel but didn't manage to get a
> response, though some people replied with suggestions that expanded this
> question a bit.
>
> I have a program that has to read some pickle files, perform some
> operations on them, and then return. The pickle objects I am reading all
José María Mateos writes:
> I just asked this question on the IRC channel but didn't manage to get
> a response, though some people replied with suggestions that expanded
> this question a bit.
>
> I have a program that has to read some pickle files, perform some
> opera
On Sun, Dec 01, 2019 at 12:26:15PM +1100, Chris Angelico wrote:
I can't answer your question authoritatively, but I can suggest a
place to look. Python's memory allocator doesn't always return memory
to the system when the objects are freed up, for various reasons
including the way that memory pa
On 11/30/19 5:05 PM, José María Mateos wrote:
> Hi,
>
> I just asked this question on the IRC channel but didn't manage to get
> a response, though some people replied with suggestions that expanded
> this question a bit.
>
> I have a program that has to read some
uld expect it to. But
> the loading time is constant, so I think I can disregard any pickle
> caching mechanisms.
>
> So I guess now my question is: can anyone give me any pointers as to why
> is this happening? Any help is appreciated.
>
I can't answer your question authoritat
Hi,
I just asked this question on the IRC channel but didn't manage to get a
response, though some people replied with suggestions that expanded this
question a bit.
I have a program that has to read some pickle files, perform some
operations on them, and then return. The pickle obje
lampahome wrote:
> I make a class Wrapper inherited from dict and met problem when I want to
> pickle it.
>
> Is there anyway to make __getstate__ of Wrapper to output a normal
> dict?(Output a dict will help pickleing easily)
>
>
> === code ===
> import pickle
>
lampahome writes:
> I make a class Wrapper inherited from dict and met problem when I want to
> pickle it.
>
> Is there anyway to make __getstate__ of Wrapper to output a normal
> dict?(Output a dict will help pickleing easily)
>
>
> === code ===
> import pickle
>
I make a class Wrapper inherited from dict and met problem when I want to
pickle it.
Is there anyway to make __getstate__ of Wrapper to output a normal
dict?(Output a dict will help pickleing easily)
=== code ===
import pickle
class Wrapper(dict):
def __getattr__(self, attr):
return
attempt to unpickle.)
>>
>> A relatively minimal example is pasted below.
>>
>>
>> --> import pickle
>> --> class test(dict):
>> ... def __init__(self, keys, shape=None):
>> ... self.shape = shape
>> ... for
y with the
>>> pickling, but I get the error when I attempt to unpickle.)
>>>
>>> A relatively minimal example is pasted below.
>>>
>>>
>>>>>> import pickle
>>>>>> class test(dict):
>>> def __init__(self,
; import pickle
--> class test(dict):
...def __init__(self, keys, shape=None):
...self.shape = shape
...for key in keys:
...self[key] = None
...def __setitem__(self, key, val):
...print (self.shape)
...dict.__setitem__(self, key, val)
...
-
o unpickle.)
>>
>> A relatively minimal example is pasted below.
>>
>>
>>>>> import pickle
>>>>> class test(dict):
>> def __init__(self, keys, shape=None):
>> self.shape = shape
>> for key in keys:
>> sel
nimal example is pasted below.
>
>
>>>> import pickle
>>>> class test(dict):
> def __init__(self, keys, shape=None):
> self.shape = shape
> for key in keys:
> self[key] = None
>
>
tored yet while it's trying to set self[1], which is
why trying to print self.shape is failing. Here's a modified version with more
prints to show some of that:
import pickle
class test(dict):
def __init__(self, keys, shape = None):
print("__init__ is running
[snip]
Sorry, this is Python 3.6 on Linux.
Duncan
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Hello,
I've been trying to figure out why one of my classes can be
pickled but not unpickled. (I realise the problem is probably with the
pickling, but I get the error when I attempt to unpickle.)
A relatively minimal example is pasted below.
>>> import pickle
>&
Neal Becker writes:
> ...
> Has anyone else run into this issue
People who use the "ZODB" (= "Zope Object DataBase")
are familiar with it.
> and have any ideas?
There are things, you must not do. In the "ZODB" case, for example,
you must not change whether the class inherits from "persistent.Pe
Neal Becker wrote:
> I find pickle really handy for saving results from my (simulation)
> experiments. But recently I realized there is an issue. Reading the
> saved results requires loading the pickle, which in turn will load any
> referenced
> modules. Problem is, what if t
This can definitely be a problem, but there are tried and true strategies to
deal with it and the best course of action depends a lot on what works for you.
Pickle deserialization is just an API instantiating your class instances. That
means all the same rules and approaches to API changes
I find pickle really handy for saving results from my (simulation)
experiments. But recently I realized there is an issue. Reading the saved
results requires loading the pickle, which in turn will load any referenced
modules. Problem is, what if the modules have changed?
For example, I just
ile "/home/erob/work/ZEO-5.1.0/src/ZEO/asyncio/marshal.py", line 91, in
pickle_decode
return unpickler.load() # msgid, flags, name, args
ValueError: unsupported pickle protocol: 3
07:32:52 ZEO.asyncio.client Registration or cache validation failed, Closed
Traceback (most recent ca
self.decode(data)
File "/home/erob/work/ZEO-5.1.0/src/ZEO/asyncio/marshal.py", line 91,
in pickle_decode
return unpickler.load() # msgid, flags, name, args
ValueError: unsupported pickle protocol: 3
07:32:52 ZEO.asyncio.client Registration or cache validation failed,
Closed
Tr
e CMU Sphinx website)
>
> Following the above procedure, I encountered the following error: TypeError:
> can.t pickle _thread.lock objects-please find the attached screenshot for
> your reference.
This looks like a programming error in "g2p-seq2sec": contact its
authors or try
procedure, I encountered the following error: TypeError:
canât pickle _thread.lock objects-please find the attached screenshot for your
reference.
This is a text-only mailing list. One should copy and paste an entire
traceback.
That said, if Tensorflow or g2p are trying to pickle something
: TypeError:
canât pickle _thread.lock objects-please find the attached screenshot for your
reference.
Thanks,
A.Winston Manuel Vijay
This e-mail and any files transmitted with it are for the sole use of the
intended recipient(s) and may contain confidential and
Following test program:
import time
import marshal
try:
import cPickle as pickle
str_ = unicode
except:
import pickle
str_ = str
def TestPrc(rd):
d = rd.recv()
print("OK")
def TestPrc2(rd):
d = pickle.loads(rd.recv())
print("OK")
if _
Ho Yeung Lee wrote:
> before cloususerlogin
> Unexpected error:
> after map pool
>
>
> ...
> passwordlist = pickle.load( open( str(currentworkingdirectory) +
> "\\decryptedsecret.p", "rb" ) )
According to
https://docs.python.org/dev/library/multiprocessing.html#programming-guidelines
you cann
before cloususerlogin
Unexpected error:
after map pool
...
passwordlist = pickle.load( open( str(currentworkingdirectory) +
"\\decryptedsecret.p", "rb" ) )
def processInput(host):
try:
decrypt_file(sys.argv[1], str(currentworkingdirectory) +
"\\encryptedsecret.p", str(currentworki
On Tue, 22 Nov 2016 10:27 am, Fillmore wrote:
>
> Hi there, Python newbie here.
>
> I am working with large files. For this reason I figured that I would
> capture the large input into a list and serialize it with pickle for
> later (faster) usage.
> Everything has wor
On Tue, 22 Nov 2016 11:40 am, Peter Otten wrote:
> Fillmore wrote:
>
>> Hi there, Python newbie here.
>>
>> I am working with large files. For this reason I figured that I would
>> capture the large input into a list and serialize it with pickle for
>>
eObject.write("wa: %s\n" % parts[1])
> fileObject.write("ua: %s\n" % parts[2])
> fileObject.close()
>
> But this doesn't use pickle format, so your reader program would have to
> be modified to read this format. And you'll run into the same problem if
> the
Fillmore wrote:
> Hi there, Python newbie here.
>
> I am working with large files. For this reason I figured that I would
> capture the large input into a list and serialize it with pickle for
> later (faster) usage.
But is it really faster? If the pickle is, let's say, t
ename, "w")
for line in sys.stdin:
parts = line.strip().split("\t")
fileObject.write("ta: %s\n" % parts[0])
fileObject.write("wa: %s\n" % parts[1])
fileObject.write("ua: %s\n" % parts[2])
fileObject.close()
But this d
Hi there, Python newbie here.
I am working with large files. For this reason I figured that I would
capture the large input into a list and serialize it with pickle for
later (faster) usage.
Everything has worked beautifully until today when the large data (1GB)
file caused a MemoryError
Ben Finney wrote:
> "Veek. M" writes:
>
>> class Foo(object):
>> pass
>>
>> object is a keyword and you're using it as an identifier
>
> Python does not have ‘object’ as a keyword. ‘and’ is a keyword.
>
> Here's the difference::
>
> >>> object
>
> >>> object = "Lorem ipsum"
>
Rustom Mody wrote:
> On Saturday, July 2, 2016 at 9:17:01 AM UTC+5:30, Veek. M wrote:
>> object is a keyword and you're using it as an identifier
>
> keyword and builtin are different
> In this case though the advice remains the same
> In general maybe not...
> Just sayin'
np - feel free to corre
Traceback (most recent call last):
File "C:\Python27\lib\multiprocessing\queues.py", line 262, in _feed
send(obj)
PicklingError: Can't pickle : attribute lookup __builtin__.gen
erator failed
#python pusher.py tcp://*:8080
import sys
import time
import zmq
from multiprocessi
to convert it to a picklable
>> > format, I can run:
>> >
>> > sound_object.get_raw()
>> >
>> > and to turn that back into an object, I can run:
>> >
>> > sound_object = pygame.mixer.Sound(raw_data)
>> >
>> > Is it possible to us
> > sound_object.get_raw()
> >
> > and to turn that back into an object, I can run:
> >
> > sound_object = pygame.mixer.Sound(raw_data)
> >
> > Is it possible to use copyreg or something similar so it's done
> > automatically when I
pygame.mixer.Sound(raw_data)
>
> Is it possible to use copyreg or something similar so it's done
> automatically when I pickle pygame.mixer.Sound() objects?
Have a look at the example from the documentation:
>>> import copyreg, copy, pickle
>>> class C(obj
cally
when I pickle pygame.mixer.Sound() objects?
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"Veek. M" writes:
> class Foo(object):
> pass
>
> object is a keyword and you're using it as an identifier
Python does not have ‘object’ as a keyword. ‘and’ is a keyword.
Here's the difference::
>>> object
>>> object = "Lorem ipsum"
>>> object
'Lorem ipsum'
>>> and
On Saturday, July 2, 2016 at 9:17:01 AM UTC+5:30, Veek. M wrote:
> object is a keyword and you're using it as an identifier
keyword and builtin are different
In this case though the advice remains the same
In general maybe not...
Just sayin'
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Nicky Mac wrote:
> Dear Python team,
> I have studied the excellent documentation, and attempted to make use
> of pickle thus:
>
> filename = 'my_saved_adventure'
> import pickle
> class object:
> def __init__(self,i,.t) :
> self.id
Daiyue Weng writes:
> ...
> I tried to use Cassandra and multiprocessing to insert rows (dummy data)
> concurrently based on the examples in
> ...
> self.pool = Pool(processes=process_count, initializer=self._setup,
> initargs=(session,))
>
> I am wondering how to resolve
>I tried to use Cassandra and multiprocessing to insert rows (dummy data)
>concurrently based on the examples in
Same situation here. I was going to try this solution but on the reading side.
Was even thinking of putting Spark-Cassandra just to avoid Python to do
multiprocessing.
This email is c
, processes)
params = list()
for row in range(10):
key = 'test' + str(row)
params.append([key, 'test', 'test', 'test', 'test'])
start = time.time()
rows = qm.get_results(params)
delta = time.time() - start
On 04/21/2016 11:43 PM, Paulo da Silva wrote:
class C(pd.DataFrame):
Note also that subclassing pandas is not always encouraged:
http://pandas.pydata.org/pandas-docs/stable/internals.html#subclassing-pandas-data-structures
Cheers,
Fabien
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Às 21:33 de 22-04-2016, Ian Kelly escreveu:
> On Fri, Apr 22, 2016 at 2:21 PM, Paulo da Silva
> wrote:
...
>
> If they start with two underscores then you could use the name
> mangling to find them. If the class name is MyClass then look for any
> keys in the instance dict that start with '_MyCla
ary because the DataFrame class is already
>> customizing its pickle behavior without taking into account the
>> possibility of added attributes by subclasses. I think that your
>> solution of wrapping the state of the superclass looks fine.
>>
> Thank you.
>
> For an
Às 17:27 de 22-04-2016, Ian Kelly escreveu:
> On Thu, Apr 21, 2016 at 7:52 PM, Paulo da Silva
> wrote:
>> Às 22:43 de 21-04-2016, Paulo da Silva escreveu:
...
>
> Probably this is necessary because the DataFrame class is already
> customizing its pickle behavior without ta
On Thu, Apr 21, 2016 at 7:52 PM, Paulo da Silva
wrote:
> Às 22:43 de 21-04-2016, Paulo da Silva escreveu:
>> Hi.
>>
>> Why in this code fragment self.__name is not kept between pickle
>> dumps/loads? How to fix it?
>>
>> Thanks.
>>
>> import
Às 22:43 de 21-04-2016, Paulo da Silva escreveu:
> Hi.
>
> Why in this code fragment self.__name is not kept between pickle
> dumps/loads? How to fix it?
>
> Thanks.
>
> import pickle
> import pandas as pd
> import numpy as np
>
> class C(pd.DataFrame):
&
Hi.
Why in this code fragment self.__name is not kept between pickle
dumps/loads? How to fix it?
Thanks.
import pickle
import pandas as pd
import numpy as np
class C(pd.DataFrame):
def __init__(self,name,*a,**b):
super(C,self).__init__(*a,**b)
self
On 3/12/2016 10:45 AM, Nicky Mac wrote:
class object:
def __init__(self,i,
This is a syntax error, so this is not the code that ran without error.
As Peter Otten said, please write a minimal complete runnable example
that shows the error and then copy and paste it as run.
--
Terry J
Nicky Mac wrote:
> Dear Python team,
> I have studied the excellent documentation,
That is always a laudable endeavour ;)
> and attempted to make use of
> pickle thus:
>
> filename = 'my_saved_adventure'
> import pickle
> class object:
'object' al
Dear Python team,
I have studied the excellent documentation, and attempted to make use of
pickle thus:
filename = 'my_saved_adventure'
import pickle
class object:
def __init__(self,i,.t) :
self.id = i
.
class world:
def __i
"Veek. M" writes:
> ...
> what i wanted to know was, x = Client('192.168.0.1') will create an
> object 'x' with the IP inside it. When I do:
> pickle.dump(x)
> pickle doesn't know where in the object the IP is, so he'll call
> __getst
Ian Kelly wrote:
> On Wed, Mar 9, 2016 at 2:14 AM, Veek. M wrote:
>> what i wanted to know was, x = Client('192.168.0.1') will create an
>> object 'x' with the IP inside it. When I do:
>> pickle.dump(x)
>> pickle doesn't know where in the
On Wed, Mar 9, 2016 at 2:14 AM, Veek. M wrote:
> what i wanted to know was, x = Client('192.168.0.1') will create an
> object 'x' with the IP inside it. When I do:
> pickle.dump(x)
> pickle doesn't know where in the object the IP is, so he'll call
> _
;
>> def __getstate__(self):
>> return self.server_addr
>>
>> def __setstate__(self,value):
>> self.server_addr = value
>> self.sock = socket.socket(socket.AF_INET,socket.SOCK_STREAM)
>> self.sock.connect(self.server_addr)
>> ---
ver_addr
>
> def __setstate__(self,value):
> self.server_addr = value
> self.sock = socket.socket(socket.AF_INET,socket.SOCK_STREAM)
> self.sock.connect(self.server_addr)
> -
>
> We'd use it like so:
> x = Client(192.168.0.1)
> import p
self.sock = socket.socket(socket.AF_INET,socket.SOCK_STREAM)
self.sock.connect(self.server_addr)
-
We'd use it like so:
x = Client(192.168.0.1)
import pickle
pickle.dump(x) #getstate gets called and returns IP for pickling.
#program exits, we restart it
x=Client(None)
x = pickle
Virgil Stokes wrote:
> Here is snippet of Python (vers. 2.7.10) code that bothers me.
>
> import cPickle as pickle
>
> print "Pickle lists:"
> dogs = ['Rover','King','Spot','Rufus']
> cats = ['Mimi','Misty
On 6 November 2015 at 12:53, Virgil Stokes wrote:
> Here is snippet of Python (vers. 2.7.10) code that bothers me.
>
> [snip bad code]
>
> 1) Which (the pickle or shelve code) takes less total RAM, if dogs and cats
> were very large?
> 2) When the last shelve.open is
Here is snippet of Python (vers. 2.7.10) code that bothers me.
import cPickle as pickle
print "Pickle lists:"
dogs = ['Rover','King','Spot','Rufus']
cats = ['Mimi','Misty','Sasha']
with open('pickle.dat'
On 11.06.15 02:58, Chris Angelico wrote:
On Thu, Jun 11, 2015 at 8:10 AM, Devin Jeanpierre
wrote:
The problem is that there are two different ways repr might write out
a dict equal to {'a': 1, 'b': 2}. This can make tests brittle -- e.g.
it's why doctest fails badly at examples involving dictio
le to
> (but smaller) than the set of types you get from literal_eval/repr.
Well, what do people do when they want to serialise something like MyClass,
but have to use (say) JSON rather than pickle?
I'd write a method to export enough information (as JSON) to reconstruct the
instance,
Snipped aplenty.
On Wed, Jun 10, 2015 at 8:21 PM, Steven D'Aprano wrote:
> On Thu, 11 Jun 2015 08:10 am, Devin Jeanpierre wrote:
> [...]
>> I could spend a bunch of time writing yet another config file format,
>> or I could use text format protocol buffers, YAML, or TOML and call it
>> a day.
>
>
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