New submission from cantor:
import lzma
from functools import partial
import multiprocessing
def run_lzma(data,c):
return c.compress(data)
def split_len(seq, length):
return [str.encode(seq[i:i+length]) for i in range(0, len(seq), length)]
def lzma_mp(sequence,threads=3):
lzc
cantor added the comment:
lzma
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Changes by cantor :
--
nosy: +nadeem.vawda
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components: -ctypes
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cantor added the comment:
just to mention that map() (i.e. the non parallel version) works:
import lzma
from functools import partial
import multiprocessing
def run_lzma(data,c):
return c.compress(data)
def split_len(seq, length):
return [str.encode(seq[i:i+length]) for i in range(0
cantor added the comment:
in python 2.7.3 this kind of works however it is less efficient than the pure
lzma.compress()
from threading import Thread
from backports import lzma
from functools import partial
import multiprocessing
class CompressClass(Thread):
def __init__ (self,data,c
cantor added the comment:
python 3.3 version - tried this code and got a sliglty faster processing time
then when running lzma.compress() on its own. Could this be improved upon?
import lzma
from functools import partial
from threading import Thread
def split_len(seq, length):
return
New submission from Max Cantor:
On certain Linux distributions such as Ubuntu, the linker is invoked by default
with --as-needed, which has an undesireable side effect when linking static
libraries: it is bad at detecting required symbols, and the order of libraries
on the command line become
New submission from Max Cantor:
When you specify a nonexistent encoding at the top of a file, like so for
example:
# -*- coding: fakefakefoobar -*-
The following exception occurs:
SyntaxError: encoding problem: with BOM
This is very unhelpful, especially in cases where you might have made a
