/usr/lib/python2.7/dist-packages/fabio/fit2dspreadsheetimage.py is in python-fabio 0.3.0+dfsg-1build1.
This file is owned by root:root, with mode 0o644.
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#
# Project: X-ray image reader
# https://github.com/kif/fabio
#
#
# Copyright (C) European Synchrotron Radiation Facility, Grenoble, France
#
# Principal author: Jérôme Kieffer (Jerome.Kieffer@ESRF.eu)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
"""
Read the fit2d ascii image output
+ Jon Wright, ESRF
"""
# Get ready for python3:
from __future__ import absolute_import, print_function, with_statement, division
import numpy
from .fabioimage import FabioImage
class Fit2dSpreadsheetImage(FabioImage):
"""
Read a fit2d ascii format
"""
def _readheader(self, infile):
"""
TODO : test for minimal attributes?
"""
line = infile.readline()
try:
items = line.split()
xdim = int(items[0])
ydim = int(items[1])
except:
raise
self.header['title'] = line
self.header['Dim_1'] = xdim
self.header['Dim_2'] = ydim
def read(self, fname, frame=None):
"""
Read in header into self.header and
the data into self.data
"""
self.header = self.check_header()
self.resetvals()
infile = self._open(fname)
self._readheader(infile)
# Compute image size
try:
self.dim1 = int(self.header['Dim_1'])
self.dim2 = int(self.header['Dim_2'])
except:
raise Exception("file", str(fname) + \
"is corrupt, cannot read it")
bytecode = numpy.float32
self.bpp = len(numpy.array(0, bytecode).tostring())
# now read the data into the array
try:
vals = []
for line in infile.readlines():
try:
vals.append([float(x) for x in line.split()])
except:
pass
self.data = numpy.array(vals).astype(bytecode)
assert self.data.shape == (self.dim2, self.dim1)
except:
raise IOError("Error reading ascii")
self.resetvals()
# ensure the PIL image is reset
self.pilimage = None
return self
fit2dspreadsheetimage = Fit2dSpreadsheetImage
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