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# coding: utf-8
#
# Project: X-ray image reader
# https://github.com/silx-kit/fabio
#
#
# Copyright (C) European Synchrotron Radiation Facility, Grenoble, France
#
# Principal author: Jérôme Kieffer (Jerome.Kieffer@ESRF.eu)
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
# THE SOFTWARE.
#
"""
Read the fit2d ascii image output
+ Jon Wright, ESRF
"""
import numpy
import logging
_logger = logging.getLogger(__name__)
from .fabioimage import FabioImage
class Fit2dSpreadsheetImage(FabioImage):
"""
Read a fit2d ascii format
"""
DESCRIPTION = "Fit2d spreadsheet ascii file format"
DEFAULT_EXTENSIONS = ["spr"]
def _readheader(self, infile):
"""
Read the header of the file
"""
line = infile.readline()
while line.startswith(b"#"):
line = infile.readline()
items = line.split()
xdim = int(items[0])
ydim = int(items[1])
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:
dim1 = int(self.header['Dim_1'])
dim2 = int(self.header['Dim_2'])
self._shape = dim2, dim1
except (ValueError, KeyError):
raise IOError("file %s is corrupt, cannot read it" % str(fname))
self._dtype = numpy.dtype(numpy.float32)
# 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 Exception:
pass
self.data = numpy.array(vals).astype(self._dtype)
assert self.data.shape == self._shape
self._shape = None
self._dtype = None
except Exception:
_logger.debug("Backtrace", exc_info=True)
raise IOError("Error reading ascii")
self.resetvals()
return self
fit2dspreadsheetimage = Fit2dSpreadsheetImage
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