/usr/lib/python2.7/dist-packages/fabio/converters.py is in python-fabio 0.3.0+dfsg-1build1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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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/>.
#
"""
Converter module.
This is for the moment empty (populated only with almost pass through anonymous functions)
but aims to be populated with more sofisticated translators ...
"""
# get ready for python3
from __future__ import with_statement, print_function
__author__ = "Jérôme Kieffer"
__contact__ = "jerome.kieffer@esrf.eu"
__license__ = "GPLv3+"
__copyright__ = "European Synchrotron Radiation Facility, Grenoble, France"
import types, logging
logger = logging.getLogger("converter")
def convert_data_integer(data):
"""
convert data to integer
"""
if data is not None:
return data.astype(int)
else:
return data
CONVERSION_HEADER = {
("edfimage", "edfimage"): lambda header:header,
}
CONVERSION_DATA = {
("edfimage", "edfimage"): lambda data:data,
("edfimage", "cbfimage"): convert_data_integer,
("edfimage", "mar345image"): convert_data_integer,
("edfimage", "fit2dmaskimage"): convert_data_integer,
("edfimage", "kcdimage"): convert_data_integer,
("edfimage", "OXDimage"): convert_data_integer,
("edfimage", "pnmimage"): convert_data_integer,
}
def convert_data(inp, outp, data):
"""
Return data converted to the output format ... over-simplistic implementation for the moment ...
@param inp,outp: input/output format like "cbfimage"
@param data(ndarray): the actual dataset to be transformed
"""
return CONVERSION_DATA.get((inp, outp), lambda data:data)(data)
def convert_header(inp, outp, header):
"""
return header converted to the output format
@param inp,outp: input/output format like "cbfimage"
@param header(dict):the actual set of headers to be transformed
"""
return CONVERSION_HEADER.get((inp, outp), lambda header:header)(header)
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