jdswinbank

from pyrap.quanta import quantity
import time

# Unix time starts at 00:00:00 coordinated universal time on 1 January 1970.
unix_epoch = quantity("1970-01-01T00:00:00")

def unix_to_mjds(unix_time):
    return unix_time + unix_epoch.get_value('s')

def mjds_to_unix(mjds):

jdswinbank

#include <iostream>
#include <vector>

// Returns a vector of indices in the range [st, end) which correspond to
// values for which pred is true.
template <typename Iterator, typename Func>
std::vector<std::size_t> find_indices(Iterator st, Iterator end, Func pred) {
  std::vector<std::size_t> indices;
  for (auto i=st; i<end; i++) {
    if (pred(*i)) indices.push_back(std::distance(st, i));

jdswinbank

$ uname -a
Darwin jackdaw 14.0.0 Darwin Kernel Version 14.0.0: Fri Sep 19 00:26:44 PDT 2014; root:xnu-2782.1.97~2/RELEASE_X86_64 x86_64 i386 MacBookPro5,1 Darwin

$ sh newinstall.sh

LSST Software Stack Builder
=======================================================================

Detected git version 2.1.2. OK.

jdswinbank

class Foo(int):
    def __add__(self, other):
        return -1

print Foo(2) + 3

jdswinbank

g++ -o lib/libafw.dylib -dynamiclib -Wl,-install_name -Wl,libafw.dylib src/fits.os src/cameraGeom/CameraPoint.os src/cameraGeom/CameraSys.os src/cameraGeom/Detector.os src/cameraGeom/Orientation.os src/coord/Coord.os src/coord/Observatory.os src/detection/Footprint.os src/detection/FootprintSet.os src/detection/GaussianPsf.os src/detection/HeavyFootprint.os src/detection/Peak.os src/detection/Psf.os src/detection/PsfFormatter.os src/detection/Threshold.os src/formatters/DecoratedImageFormatter.os src/formatters/ExposureFormatter.os src/formatters/ImageFormatter.os src/formatters/KernelFormatter.os src/formatters/MaskedImageFormatter.os src/formatters/MaskFormatter.os src/formatters/TanWcsFormatter.os src/formatters/Utils.os src/formatters/WcsFormatter.os src/geom/AffineTransform.os src/geom/AffineXYTransform.os src/geom/Angle.os src/geom/Box.os src/geom/CoordinateBase.os src/geom/CoordinateExpr.os src/geom/Extent.os src/geom/IdentityXYTransform.os src/geom/InvertedXYTransform.os src/geom/LinearTransform.os sr

jdswinbank

#include <iostream>
#include <cassert>
#include "lsst/afw/table.h"
#include "ndarray/eigen.h"

using namespace lsst::afw::table;

void populateCat(BaseCatalog & cat, int size = 3) {
    auto schema = cat.getSchema();
    auto k1 = schema.find<int>("f1").key;

jdswinbank

[jds@magpie ~]$ cat -n test.c
     1	const char s[] = "pqrs";
     2
     3	int main(void) {
     4	    const char t[] = "abcd";
     5	    const char* u = "efgh";
     6	    return 0;
     7	}
[jds@magpie ~]$ gcc -o test-gcc test.c
[jds@magpie ~]$ clang -o test-clang test.c

jdswinbank

class Foo(object):
    @property
    def foo(self):
        """This foo is not implemented"""
        raise NotImplementedError

    def do_thing(self):
        print self.foo

class Bar(Foo):

jdswinbank

#include <iostream>
#include "ndarray.h"

using namespace std;

int main(void) {
    int height = 3968;
    int width = 9;
    int nSwaths = 15; ndarray::Array<float, 3, 2> slitFuncsSwaths = ndarray::allocate(height, width, nSwaths);
    cout << "slitFuncsSwaths.getShape() = " << slitFuncsSwaths.getShape() << endl;

jdswinbank

diff --git a/python/lsst/sconsUtils/dependencies.py b/python/lsst/sconsUtils/dependencies.py
index 98d89cd..d837e1d 100644
--- a/python/lsst/sconsUtils/dependencies.py
+++ b/python/lsst/sconsUtils/dependencies.py
@@ -72,10 +72,11 @@ def configure(packageName, versionString=None, eupsProduct=None, eupsProductPath
     # XCPPPATH is a new variable defined by sconsUtils - it's like CPPPATH, but the headers
     # found there aren't treated as dependencies.  This can make scons a lot faster.
     state.env['XCPPPATH'] = []
+    state.env['XCPPPREFIX'] = "-isystem "
     state.env['_CPPINCFLAGS'] = \