gdementen

from ctypes import pythonapi, c_void_p
from numba import autojit

savethread = pythonapi.PyEval_SaveThread
savethread.argtypes = []
savethread.restype = c_void_p

restorethread = pythonapi.PyEval_RestoreThread
restorethread.argtypes = [c_void_p]
restorethread.restype = None

gdementen

 line 91, in from_ctypes_type
    return from_ctypes_type(ctypes_type._type_).pointer()
  File "c:\soft\Python27-32b\Lib\site-packages\numba\support\ctypes_support.py",
 line 97, in from_ctypes_type
    for name, field_type in ctypes_type._fields_]
  File "c:\soft\Python27-32b\Lib\site-packages\numba\support\ctypes_support.py",
 line 91, in from_ctypes_type
    return from_ctypes_type(ctypes_type._type_).pointer()
  File "c:\soft\Python27-32b\Lib\site-packages\numba\support\ctypes_support.py",
 line 88, in from_ctypes_type

gdementen

import numpy as np
from numba import jit, double, autojit, void

def func(result, a):
    for i in range(len(result)):
        result[i] = a[i]

func_nb = jit(void[:](double[:], double[:]))(func)
#func_nb = autojit(func)

gdementen

import ast
from timeit import repeat
import threading
from ctypes import pythonapi, c_void_p
import math

import numpy as np
try:
    import numexpr as ne
    nthreads = ne.ncores

gdementen

### Eclipse Workspace Patch 1.0
#P liam2
Index: src/alignment.py
===================================================================
--- src/alignment.py	(revision 960)
+++ src/alignment.py	(working copy)
@@ -2,6 +2,7 @@
 
 from itertools import izip
 import os

gdementen

diff --git a/src_liam/data.py b/src_liam/data.py
index 31fe79b..44f11b6 100644
--- a/src_liam/data.py
+++ b/src_liam/data.py
@@ -35,7 +35,7 @@ def append_carray_to_table(array, table, numlines=None, buffersize=10 * MB):
 
 
 class ColumnArray(object):
-    def __init__(self, array=None):
+    def __init__(self, array=None, default_values=None):

gdementen

entities:
    person:
        fields:
            - age:    int
            - gender: bool
            - test: {type: float, initialdata: false}

        processes:
            test: cont_regr(age, mult=0.5, filter=gender)

gdementen

gdementen

>>> l = [4873.40374783,
         5821.07686377,
         5781.99852348,
         5555.53769711,
         0.0,
         0.0,
         0.0,
         0.0]
>>> a = np.array(l)
>>> b = np.empty((8, 2))

gdementen

# 1) like others pointed out, you should use a defaultdict in this case

# 2) otherwise use setdefault
output = {}
for element in elements:
    output.setdefault(element["owner"], []).append(element["pet"])
    
# 3) if, for some reason, this does not work in your case, use a dict comprehension (if available for your version of Python, 2.7+ I think)
output = {e["owner"]: [] for e in elements}
for element in elements: