nessi_data=nessi_list.NessiList()
nessi_data.__array__.__set_from_NessiVector__(nessi_data.__array__,data)
return nessi_data
print dir(sns_napi)
#help(sns_napi)
handle=sns_napi.open("/SNS/users/pf9/REF_M_50-zipped.nxs")
print "opengroup(entry,NXentry)",sns_napi.opengroup(handle,"entry","NXentry")
#print "opengroup(data,NXdata)",sns_napi.opengroup(handle,"data","NXdata")
print "opengroup(bank1,NXdata)",sns_napi.opengroup(handle,"bank1","NXdata")
print "getnextentry()",sns_napi.getnextentry(handle)
print "getnextentry()",sns_napi.getnextentry(handle)
print "opendata(x_pixel_offset)",sns_napi.opendata(handle,"x_pixel_offset")
print "getattr(axis)",sns_napi.getattr(handle,"axis")
print "getattr(units)",sns_napi.getattr(handle,"units")
xpo=sns_napi.getdata(handle)
print "getdata()",xpo.__type__,xpo,len(xpo)
print "closedata()",sns_napi.closedata(handle)
print "opendata(data)",sns_napi.opendata(handle,"data")
(dims,type)=sns_napi.getinfo(handle)
print "getinfo()",(dims,type)
print "getnextattr()",sns_napi.getnextattr(handle)
print "getdata benchmark [:sec.milli]"
timing.start()
sns_napi.getdata(handle)
timing.finish()
print_mark("",timing.milli())
print "getslab((0,0,0),(1,1,167))",sns_napi.getslab(handle,(0,0,0),(1,1,167))
print "getslab((1,1,0),(1,1,167))",sns_napi.getslab(handle,(1,0,0),(1,1,167))
infile = sys.argv[1]
except IndexError:
print_help()
sys.exit(-1)
if not file_exists(infile):
print "File [%s] does not exist" % infile
print_help()
sys.exit(-1)
outfile = outname(infile)
# get to the data object
inhandle = sns_napi.open(infile)
sns_napi.opengroup(inhandle, "entry", "NXentry")
sns_napi.opengroup(inhandle, "data", "NXdata")
sns_napi.opendata(inhandle, "data")
(dims, nxclass) = sns_napi.getinfo(inhandle)
print "DIMS = ", dims
print "TYPE = ", nxclass
data = getdata(inhandle, dims, False)
axis_length = dims[2]
data_size = 1
for item in dims:
data_size *= item
print "SIZE:", len(data), data_size
# print the data to a file
print "writing to", outfile
outhandle = open(outfile, mode="w")
writefile(outhandle, data, data_size)
outhandle.close()
print dir(sns_napi)
#help(sns_napi)
handle = sns_napi.open("/SNS/users/pf9/REF_M_50-zipped.nxs")
print "opengroup(entry,NXentry)", sns_napi.opengroup(handle, "entry",
"NXentry")
#print "opengroup(data,NXdata)",sns_napi.opengroup(handle,"data","NXdata")
print "opengroup(bank1,NXdata)", sns_napi.opengroup(handle, "bank1", "NXdata")
print "getnextentry()", sns_napi.getnextentry(handle)
print "getnextentry()", sns_napi.getnextentry(handle)
print "opendata(x_pixel_offset)", sns_napi.opendata(handle, "x_pixel_offset")
print "getattr(axis)", sns_napi.getattr(handle, "axis")
print "getattr(units)", sns_napi.getattr(handle, "units")
xpo = sns_napi.getdata(handle)
print "getdata()", xpo.__type__, xpo, len(xpo)
print "closedata()", sns_napi.closedata(handle)
print "opendata(data)", sns_napi.opendata(handle, "data")
(dims, type) = sns_napi.getinfo(handle)
print "getinfo()", (dims, type)
print "getnextattr()", sns_napi.getnextattr(handle)
print "getdata benchmark [:sec.milli]"
timing.start()
sns_napi.getdata(handle)
timing.finish()
print_mark("", timing.milli())
print "getslab((0,0,0),(1,1,167))", sns_napi.getslab(handle, (0, 0, 0),
(1, 1, 167))
print "getslab((1,1,0),(1,1,167))", sns_napi.getslab(handle, (1, 0, 0),
(1, 1, 167))
def getdims(self):
return sns_napi.getinfo(self.__HANDLE__)
infile=sys.argv[1]
except IndexError:
print_help()
sys.exit(-1)
if not file_exists(infile):
print "File [%s] does not exist" % infile
print_help()
sys.exit(-1)
outfile=outname(infile)
# get to the data object
inhandle=sns_napi.open(infile)
sns_napi.opengroup(inhandle,"entry","NXentry")
sns_napi.opengroup(inhandle,"data","NXdata")
sns_napi.opendata(inhandle,"data")
(dims,nxclass)=sns_napi.getinfo(inhandle)
print "DIMS = ",dims
print "TYPE = ",nxclass
data=getdata(inhandle,dims,False)
axis_length=dims[2]
data_size=1
for item in dims:
data_size*=item
print "SIZE:",len(data),data_size
# print the data to a file
print "writing to",outfile
outhandle=open(outfile,mode="w")
writefile(outhandle,data,data_size)
outhandle.close()