As I said in my message, you can using IntPtr.Overloads[Int64](handle).
Jeff
On Tue, Jul 21, 2015 at 11:12 AM, Dan Lenski wrote:
> Ron Harding via PythonDotNet writes:
>
> > perhaps re-directed command line calls for stdin, stdout, stderr in c#
> interacting with python i/o command line calls(
The problem is the conversion from a Python long to a C# number, not
anything to do with the file handle itself.
This worked for me: (after your "print handle")
cs_handle = IntPtr.Overloads[Int64](Int64(handle))
fs = FileStream(cs_handle, True)
Jeff
On Mon, Jul 20, 2015 at 9:19 PM, Ron Harding
You seem to be slightly misinformed about the cPython GIL. While it is true
that it prevents two Python statements from being interpreted at the same
time, many "long-running" functions automatically release the GIL while
they are being executed. For example, when reading and writing a file the
GIL
; ix = it.multi_index
> if len(ix)==1:
> netarr[ix[0]] = res[ix[0]]
> else:
> netarr[ix] = res[ix]
> it.iternext()
> return netarr
> return inner
>
> Thanks,
>
> Denis
>
>
> On Wed, No
ote:
>>>
>>>> Thanks Brad and Jeff for the detailed info. For now, fromiter is
>>>> serving me well and has reduced my processing time considerably, so I am
>>>> just going to stick with it.
>>>>
>>>>
>>>> On 29 Octobe
I finally have a chance to chime in, and Bradley is exactly right.
Marshall.Copy copies the raw data, and apparently your file library does
not store that data in a nice, contiguous, manner. While it is highly
likely that copying all the data to an array in C# will be faster than the
fromiter in Py
ut in my case when I call python from c#, I do that using
> InvokeMethod that would only allow me to pass an array of PyObjects. So
> that's the challenge.
>
>
>
> On Wed, Aug 20, 2014 at 12:23 PM, Jeffrey Bush
> wrote:
>
>> Numpy arrays are almost always created
Numpy arrays are almost always created in Python and there are dozens of
methods. That post you link to has the best solution for this case:
import numpy as np
dest = np.empty(len(src))
That creates a new numpy array of the same length of src with
undefined ("empty") values at every index. You co
The problem with your current code is that as soon as you call
src_hndl.Free() the pointer is not necessarily valid any more! .NET is
allowed to move the memory contents of objects at will unless they are
pinned (which is what the first line does). By freeing the GCHandle it is
no longer pinned and
n %f sec' % (end-start))
check_arrays(src, dest)
print('Copy using Marshal.Copy'),
from System.Runtime.InteropServices import Marshal
start = time.clock()
dest = np.empty(len(src))
Marshal.Copy(src, 0,
IntPtr.__overloads__[int](dest.__array_interface__['data'][0]), len(src))
end = time.c
You could write a .NET function to do this with fixed pointers and "memcpy"
from the .NET array to the numpy data (the raw data). This would be the
absolute fastest way, but does involve a number of assumptions (for
example that the data in the two arrays are laid out in the same way). If
you want
As previously said you have to probably do something like:
from System.Windows.Media.Imaging import BitmapSource
bitmapsrc = None
cam = xiCam()
cam.OpenDevice(0)
cam.SetParam(PRM.BUFFER_**POLICY, BUFF_POLICY.SAFE)
cam.SetParam(PRM.IMAGE_DATA_**FORMAT, IMG_FORMAT.MONO8)
cam.StartAcquisition()
time
nceEquals(System.Object, System.Object)
> |
> | __overloads__
>
> As for the smarts behind it, it'll be fun to get back into the guts and
> see if some improvements can be made.
>
> Oh boy; I just love those System.NotSupportedException(s)!
> Thanks for the feedba
; - I tend to think of this package as a "wrist-friendly" (see
> Boo) wrapper over the Mono/.NET components more than a trying to be a type
> compatibility layer.
>
> 3) Slicing seems like something that is worth implementing. That would
> take a lot of typing ou
range(10))
> >>> a = Array[Byte](list(i for i in g))
>
> >>> a[5]
> 0
>
> On 01/04/2013 06:33 PM, Jeffrey Bush wrote:
>
> Hi,
>
> I have a library in C for compression. I made Python script for testing
> it, called using ctypes.
>
> Now, I a
Hi,
I have a library in C for compression. I made Python script for testing it,
called using ctypes.
Now, I am working on a .NET library for something very similar and would
like to test it in the same way. However, I am getting lost in how to do
some of the things with your library.
The functio
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