[issue6869] Embedded python crashed on 4th run, if "ctypes" is used

2010-04-05 Thread nik

nik  added the comment:

I can confirm that the patch fix this issue. I adapted the patch (variable 
names changed):

5523a5524
> Py_INCREF(&Struct_Type);
5529a5531
> Py_INCREF(&Union_Type);
5535a5538
> Py_INCREF(&Pointer_Type);
5541a5545
> Py_INCREF(&Array_Type);
5547a5552
> Py_INCREF(&Simple_Type);
5553a5559
> Py_INCREF(&CFuncPtr_Type); 

Platform: Linux (kubuntu 9.10 x64)
Python: 2.6.4-0ubuntu3

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[issue10038] Returntype of json.loads() on strings

2010-10-06 Thread Nik Tautenhahn

New submission from Nik Tautenhahn :

Hi,

before 2.7, an
import json
json.loads('"abc"')

yielded u"abc".

in 2.7 I get
"abc" (a byte string).

I would have expected an entry in "news" or "What's new in 2.7" why this change 
happened. In addition, all examples at http://docs.python.org/library/json are 
wrong for Python 2.7  if json.loads is involved.

Any insight on this?

best regards,
Nik

--
assignee: d...@python
components: Documentation, Library (Lib)
messages: 118069
nosy: d...@python, llnik
priority: normal
severity: normal
status: open
title: Returntype of json.loads() on strings
type: behavior
versions: Python 2.7

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[issue10038] Returntype of json.loads() on strings

2010-10-06 Thread Nik Tautenhahn

Nik Tautenhahn  added the comment:

Well, Ok, if I take bob's comment from the simplejson Issue, I can understand 
that some people want byte strings. But then I would like to have something 
like a "parse_str" hook, to enhance my json-Decoder or maybe a keyword argument 
for the default json-Decoder...

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[issue10038] Returntype of json.loads() on strings

2010-10-07 Thread Nik Tautenhahn

Nik Tautenhahn  added the comment:

Well, then at least the documentation and the "What's changed" need to be 
updated. Furthermore, if such decisions are made, it would be at least nice to 
have some general "decode-hook" for json.JSONDecoder - the "object_hook" is 
only used for dict-objects - why is there no hook for strings or a general hook 
which is used on any objects?

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[issue10038] Returntype of json.loads() on strings

2010-10-07 Thread Nik Tautenhahn

Nik Tautenhahn  added the comment:

Yep, the solution should not be "maybe it's str, maybe it's unicode" - I mean, 
if the decoder gives you a str if there are no fancy characters and unicode if 
it contains some, this might lead to some confusion... And yes, in my opinion, 
this is a bug, too.

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[issue10038] json.loads() on str should return unicode, not str

2010-11-02 Thread Nik Tautenhahn

Nik Tautenhahn  added the comment:

There is even more inconsistency here.

As already mentioned, we have this:


>>> import json
>>> json.loads(json.dumps("abc"))

'abc'

If, however, I am evil and hide _json.so (which is the C-part of the json 
module for speedup), the JSON code falls back to its python implementation and 
voila:

>>> import json
>>> json.loads(json.dumps("abc"))

u'abc'

Not so neat, if your fallback is not a fallback but shows such different 
behaviour.

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[issue11564] pickle limits most datatypes

2011-03-15 Thread Nik Galitsky

New submission from Nik Galitsky :

Python 3.2 on linux (RHEL 5.3) x86_64 build from source code.
Configure options:
./configure --prefix=/scratch/Python-3.2 --enable-big-digits=30 
--with-universal-archs=all --with-fpectl --enable-shared
Built with GCC 4.3.3 with major options 
-g3 -O3 -m64 -fPIC.

Testcase that shows the issue:

#import numpy

import pickle
print("begin")
#a = numpy.zeros((2.5e9 / 8,), dtype = numpy.float64)
a = ('a' * (2 ** 31))
print("allocated")
#print(a);
pickle.dumps(a, pickle.DEFAULT_PROTOCOL)
print("end")

The problem as I can see it is that in pickle.py most types defined either as 2 
bytes, or 4 bytes.
For example it is peppered with lines like:
self.write(SOMETYPE + pack("\0\1\0\0\0\300>\0\0\0\0\0\0"..., 
832) = 832
fstat(5, {st_mode=S_IFREG|0755, st_size=412939, ...}) = 0
mmap(NULL, 2185384, PROT_READ|PROT_EXEC, MAP_PRIVATE|MAP_DENYWRITE, 5, 0) = 
0x2b05b5f68000
mprotect(0x2b05b5f7b000, 2093056, PROT_NONE) = 0
mmap(0x2b05b617a000, 16384, PROT_READ|PROT_WRITE, 
MAP_PRIVATE|MAP_FIXED|MAP_DENYWRITE, 5, 0x12000) = 0x2b05b617a000
close(5)= 0
close(4)= 0
close(3)= 0
write(1, "begin\n", 6begin
)  = 6
mmap(NULL, 4294971392, PROT_READ|PROT_WRITE, MAP_PRIVATE|MAP_ANONYMOUS, -1, 0) 
= 0x2b05b617e000
write(1, "allocated\n", 10allocated
) = 10
mmap(NULL, 8589938688, PROT_READ|PROT_WRITE, MAP_PRIVATE|MAP_ANONYMOUS, -1, 0) 
= 0x2b06b617f000
mremap(0x2b06b617f000, 8589938688, 2147487744, MREMAP_MAYMOVE) = 0x2b06b617f000
mmap(NULL, 4294971392, PROT_READ|PROT_WRITE, MAP_PRIVATE|MAP_ANONYMOUS, -1, 0) 
= 0x2b073618
munmap(0x2b06b617f000, 2147487744)  = 0
munmap(0x2b073618, 4294971392)  = 0
write(2, "Traceback (most recent call last"..., 35Traceback (most recent call 
last):
) = 35
write(2, "  File \"pickle_long.py\", line 9,"..., 45  File "pickle_long.py", 
line 9, in 
) = 45
open("pickle_long.py", O_RDONLY)= 3
fstat(3, {st_mode=S_IFREG|0644, st_size=251, ...}) = 0
ioctl(3, SNDCTL_TMR_TIMEBASE or TCGETS, 0x79f7c9e0) = -1 ENOTTY 
(Inappropriate ioctl for device)
fstat(3, {st_mode=S_IFREG|0644, st_size=251, ...}) = 0
lseek(3, 0, SEEK_CUR)   = 0
dup(3)  = 4
fcntl(4, F_GETFL)   = 0x8000 (flags O_RDONLY|O_LARGEFILE)
fstat(4, {st_mode=S_IFREG|0644, st_size=251, ...}) = 0
mmap(NULL, 4096, PROT_READ|PROT_WRITE, MAP_PRIVATE|MAP_ANONYMOUS, -1, 0) = 
0x2b06b617f000
lseek(4, 0, SEEK_CUR)   = 0
read(4, "#import numpy\n\nimport pickle\npri"..., 4096) = 251
close(4)= 0
munmap(0x2b06b617f000, 4096)= 0
lseek(3, 0, SEEK_SET)   = 0
lseek(3, 0, SEEK_CUR)   = 0
read(3, "#import numpy\n\nimport pickle\npri"..., 4096) = 251
close(3)= 0
write(2, "pickle.dumps(a, pickle.DEFAU"..., 45pickle.dumps(a, 
pickle.DEFAULT_PROTOCOL)
) = 45
write(2, "SystemError: error return withou"..., 48SystemError: error return 
without exception set
) = 48
rt_sigaction(SIGINT, {SIG_DFL, [], SA_RESTORER, 0x2b05b118e4c0}, 
{0x2b05b0e7a570, [], SA_RESTORER, 0x2b05b118e4c0}, 8) = 0
munmap(0x2b05b617e000, 4294971392)  = 0
exit_group(1)   = ?

Why is this limitation?
Please advise.

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components: Interpreter Core
messages: 131060
nosy: nyevik
priority: normal
severity: normal
status: open
title: pickle limits most datatypes
type: crash
versions: Python 3.2

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[issue11564] pickle not 64-bit ready

2011-03-16 Thread Nik Galitsky

Nik Galitsky  added the comment:

Thank you all for your responses. While getting the meaningful error message in 
this case is very important, the main thing for us is to somehow fix this 
problem to allow larger objects serialization which is not at all uncommon on a 
64-bit machines with large amounts of memory.
This issue affects cPickle as well, I believe, as well cStringIO that uses 
pickle too, I believe.

So, what are your plans/thoughts - would there be any action on fixing this 
problem in the near future? I think I grasp the extent of changes that need to 
be made to Python code, but I think this issue will have to bee addressed 
soonoer or later anyhow.

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[issue40258] random module does not have type hints

2020-04-11 Thread Nik Vaessen


Change by Nik Vaessen :


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nosy: nikvaes
priority: normal
severity: normal
status: open
title: random module does not have type hints
type: enhancement

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[issue40258] random module does not have type hints

2020-04-11 Thread Nik Vaessen


Change by Nik Vaessen :


--
keywords: +patch
pull_requests: +18834
stage:  -> patch review
pull_request: https://github.com/python/cpython/pull/19480

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