Fix issue with some array setters.

Author: PMeira

README.md

@@ -6,7 +6,7 @@ Python bindings and misc tools for using OpenDSS (EPRI Distribution System Simul
 
 If you are looking for the C API library, see [`dss_capi`](http://github.com/PMeira/dss_capi/).
 
-Version 0.9.6, based on [OpenDSS revision 2152](https://sourceforge.net/p/electricdss/code/2152/tree/). 
+Version 0.9.7, based on [OpenDSS revision 2152](https://sourceforge.net/p/electricdss/code/2152/tree/). 
 This is a work-in-progress but it's deemed stable enough to be made public.
 *Note that, while the interface with OpenDSS is stable (classic version), the OpenDSS-PM (actor-based parallel machine version) interface was integrated recently and is experimental.*
 
@@ -17,6 +17,7 @@ This module depends on CFFI, NumPy and, optionally, SciPy.Sparse for reading the
 
 Recent changes
 ==============
+- 2018-04-30 / version 0.9.7: Fix some of the setters that used array data.
 - 2018-04-05 / version 0.9.6: Adds missing `ActiveCircuit.CktElements[index]` (or `...CktElements(index)`) and `ActiveCircuit.Buses[index]` (or `...Buses(index)`).
 - 2018-03-07 / version 0.9.4: Allows using `len` on several classes, fixes DSSProperty, and includes COM helpstrings as docstrings. Contains changes up to OpenDSS revision 2152.
 - 2018-02-16 / version 0.9.3: Integrates COM interface fixes from revision 2136 (`First` `Next` iteration on some elements)

README.pdf

@@ -7,4 +7,4 @@
 from .enums import *
 from . import enums
 
-__version__ = '0.9.6'
+__version__ = '0.9.7'

dss/__init__.py

@@ -117,16 +117,16 @@ def prepare_float64_array(self, value):
         if type(value) is not np.ndarray or value.dtype != np.float64:
             value = np.array(value, dtype=np.float64)
 
-        ptr = self.ffi.cast('double*', self.ffi.from_buffer(data.data))
-        cnt = data.size
+        ptr = self.ffi.cast('double*', self.ffi.from_buffer(value.data))
+        cnt = value.size
         return value, ptr, cnt
 
     def prepare_int32_array(self, value):
         if type(value) is not np.ndarray or value.dtype != np.int32:
             value = np.array(value, dtype=np.int32)
 
-        ptr = self.ffi.cast('int32_t*', self.ffi.from_buffer(data.data))
-        cnt = data.size
+        ptr = self.ffi.cast('int32_t*', self.ffi.from_buffer(value.data))
+        cnt = value.size
         return value, ptr, cnt
 
     def prepare_string_array(self, value):

dss/_cffi_api_util.py

@@ -7,4 +7,4 @@
 from ..enums import *
 from .. import enums
 
-__version__ = '0.9.6'
+__version__ = '0.9.7'