def __init__(self,tag='in'):
if isinstance(tag,File):
# copy file
self.__init__(tag.tag)
else:
self.file = c_rsf.sf_input(tag)
_File.__init__(self,tag)
def __init__(self,tag='in'):
if isinstance(tag,File):
# copy file
self.__init__(tag.tag)
else:
self.file = c_rsf.sf_input(tag)
_File.__init__(self,tag)
def __init__(self, tag='in'):
self.file = None
if isinstance(tag, File):
# copy file
self.__init__(tag.tag)
else:
if _swig_:
if python2:
# c function only knows utf-8 (ascii). translate the unicode
tag = tag.encode('utf-8')
self.file = c_rsf.sf_input(tag)
else:
self.file = _RSF(True, tag)
_File.__init__(self, tag)
def __array__(self,context=None):
'numpy array'
if _swig_:
# danger: dangling open file descriptor
if None == self.narray:
if not hasattr(self,'file'):
self.file = c_rsf.sf_input(self.tag)
self.narray = c_rsf.rsf_array(self.file)
return self.narray
else:
# gets only the real part of complex arrays
val = os.popen('%s < %s' %
(Filter('disfil')(number=False),self)).read()
return map(lambda x: float(x.rstrip(',')),val.split())
def __array__(self,context=None):
'numpy array'
if _swig_:
# danger: dangling open file descriptor
if None == self.narray:
if not hasattr(self,'file'):
self.file = c_rsf.sf_input(self.tag)
self.narray = c_rsf.rsf_array(self.file)
return self.narray
else:
# gets only the real part of complex arrays
val = os.popen('%s < %s' %
(Filter('disfil')(number=False),self)).read()
return map(lambda x: float(x.rstrip(',')),val.split())
def size(self, dim=0):
if _swig_:
if hasattr(self, 'file'):
f = self.file
else:
f = c_rsf.sf_input(self.tag)
s = c_rsf.sf_leftsize(f, dim)
if not hasattr(self, 'file'):
c_rsf.sf_fileclose(f)
else:
s = 1
for axis in range(dim + 1, 10):
n = self.int("n%d" % axis)
if n:
s *= n
else:
break
return s
def __init__(self,tag='out',src=None):
if not tag:
self.tag = Temp()
self.temp = True
else:
self.tag = tag
self.temp = False
self.file = c_rsf.sf_output(self.tag)
if src: # clone source file
if hasattr(src,'file'):
srcfile = src.file
srctype = src.type
else:
srcfile = c_rsf.sf_input(self.tag)
srctype = c_rsf.sf_gettype(srcfile)
c_rsf.sf_settype(self.file,_File.type.index(srctype))
c_rsf.sf_fileflush(self.file,srcfile)
_File.__init__(self,self.tag)
def size(self,dim=0):
if _swig_:
if hasattr(self,'file'):
f = self.file
else:
f = c_rsf.sf_input(self.tag)
s = c_rsf.sf_leftsize(f,dim)
if not hasattr(self,'file'):
c_rsf.sf_fileclose(f)
else:
s = 1
for axis in range(dim+1,10):
n = self.int("n%d" % axis)
if n:
s *= n
else:
break
return s
def __init__(self,tag='out',src=None):
if not tag:
self.tag = Temp()
self.temp = True
else:
self.tag = tag
self.temp = False
self.file = c_rsf.sf_output(self.tag)
if src: # clone source file
if hasattr(src,'file'):
srcfile = src.file
srctype = src.type
else:
srcfile = c_rsf.sf_input(self.tag)
srctype = c_rsf.sf_gettype(srcfile)
c_rsf.sf_settype(self.file,_File.type.index(srctype))
c_rsf.sf_fileflush(self.file,srcfile)
_File.__init__(self,self.tag)
def __array__(self,context=None):
'numpy array'
if False and _swig_: #kls I broke path that uses c_rsf.sf_input
if None == self.narray:
if not hasattr(self,'f'):
f = c_rsf.sf_input(self.tag)
else:
f = self.f
self.narray = c_rsf.rsf_array(f)
if not hasattr(self,'f'):
c_rsf.sf_fileclose(f)
return self.narray
else:
# gets only the real part of complex arrays
# should be able to dp something like this, which is used in
# class Input.read()
#sys.stderr.write('in __array__\n')
tempinput=Input(self.filename)
#sys.stderr,write('call getall\n')
return tempinput.getalldata()
def __array__(self,context=None):
'create narray'
if [] == self.narray:
if _swig_:
if not hasattr(self,'file'):
f = c_rsf.sf_input(self.tag)
else:
f = self.file
self.narray = c_rsf.rsf_array(f)
if not hasattr(self,'file'):
c_rsf.sf_fileclose(f)
else:
# gets only the real part of complex arrays ##kls
if not hasattr(self,'file'):
f=Input(self.tag)
else:
f=self.file
self.narray=np.memmap(f.string('in'),dtype=f.datatype,
mode='r+',
shape=f.shape())
return self.narray