# Copyright (c) 2011-2014 Exxeleron GmbH
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import numpy
def uncompress(data, uncompressed_size):
_0 = numpy.intc(0)
_1 = numpy.intc(1)
_2 = numpy.intc(2)
_128 = numpy.intc(128)
_255 = numpy.intc(255)
n, r, s, p = _0, _0, _0, _0
i, d = _1, _1
f = _255 & data[_0]
ptrs = numpy.zeros(256, dtype = numpy.intc)
uncompressed = numpy.zeros(uncompressed_size, dtype = numpy.uint8)
idx = numpy.arange(uncompressed_size, dtype = numpy.intc)
while s < uncompressed_size:
pp = p + _1
if f & i:
r = ptrs[data[d]]
n = _2 + data[d + _1]
uncompressed[idx[s:s + n]] = uncompressed[r:r + n]
ptrs[(uncompressed[p]) ^ (uncompressed[pp])] = p
if s == pp:
ptrs[(uncompressed[pp]) ^ (uncompressed[pp + _1])] = pp
d += _2
r += _2
s = s + n
p = s
else:
uncompressed[s] = data[d]
if pp == s:
ptrs[(uncompressed[p]) ^ (uncompressed[pp])] = p
p = pp
s += _1
d += _1
if i == _128:
if s < uncompressed_size:
f = _255 & data[d]
d += _1
i = _1
else:
i += i
return uncompressed