/usr/lib/python3/dist-packages/arrayfire/index.py is in python3-arrayfire 3.3.20160624-2.
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# Copyright (c) 2015, ArrayFire
# All rights reserved.
#
# This file is distributed under 3-clause BSD license.
# The complete license agreement can be obtained at:
# http://arrayfire.com/licenses/BSD-3-Clause
########################################################
"""
Index and Seq classes used in indexing operations.
"""
from .library import *
from .util import *
from .util import _is_number
from .base import *
from .bcast import _bcast_var
import math
class Seq(ct.Structure):
"""
arrayfire equivalent of slice
Attributes
----------
begin: number
Start of the sequence.
end : number
End of sequence.
step : number
Step size.
Parameters
----------
S: slice or number.
"""
_fields_ = [("begin", ct.c_double),
("end" , ct.c_double),
("step" , ct.c_double)]
def __init__ (self, S):
self.begin = ct.c_double( 0)
self.end = ct.c_double(-1)
self.step = ct.c_double( 1)
if _is_number(S):
self.begin = ct.c_double(S)
self.end = ct.c_double(S)
elif isinstance(S, slice):
if (S.step is not None):
self.step = ct.c_double(S.step)
if(S.step < 0):
self.begin, self.end = self.end, self.begin
if (S.start is not None):
self.begin = ct.c_double(S.start)
if (S.stop is not None):
self.end = ct.c_double(S.stop - math.copysign(1, self.step))
else:
raise IndexError("Invalid type while indexing arrayfire.array")
class ParallelRange(Seq):
"""
Class used to parallelize for loop.
Inherits from Seq.
Attributes
----------
S: slice
Parameters
----------
start: number
Beginning of parallel range.
stop : number
End of parallel range.
step : number
Step size for parallel range.
Examples
--------
>>> import arrayfire as af
>>> a = af.randu(3, 3)
>>> b = af.randu(3, 1)
>>> c = af.constant(0, 3, 3)
>>> for ii in af.ParallelRange(3):
... c[:, ii] = a[:, ii] + b
...
>>> af.display(a)
[3 3 1 1]
0.4107 0.1794 0.3775
0.8224 0.4198 0.3027
0.9518 0.0081 0.6456
>>> af.display(b)
[3 1 1 1]
0.7269
0.7104
0.5201
>>> af.display(c)
[3 3 1 1]
1.1377 0.9063 1.1045
1.5328 1.1302 1.0131
1.4719 0.5282 1.1657
"""
def __init__(self, start, stop=None, step=None):
if (stop is None):
stop = start
start = 0
self.S = slice(start, stop, step)
super(ParallelRange, self).__init__(self.S)
def __iter__(self):
return self
def next(self):
"""
Function called by the iterator in Python 2
"""
if _bcast_var.get() is True:
_bcast_var.toggle()
raise StopIteration
else:
_bcast_var.toggle()
return self
def __next__(self):
"""
Function called by the iterator in Python 3
"""
return self.next()
class _uidx(ct.Union):
_fields_ = [("arr", ct.c_void_p),
("seq", Seq)]
class Index(ct.Structure):
_fields_ = [("idx", _uidx),
("isSeq", ct.c_bool),
("isBatch", ct.c_bool)]
"""
Container for the index class in arrayfire C library
Attributes
----------
idx.arr: ctypes.c_void_p
- Default 0
idx.seq: af.Seq
- Default af.Seq(0, -1, 1)
isSeq : bool
- Default True
isBatch : bool
- Default False
Parameters
-----------
idx: key
- If of type af.Array, self.idx.arr = idx, self.isSeq = False
- If of type af.ParallelRange, self.idx.seq = idx, self.isBatch = True
- Default:, self.idx.seq = af.Seq(idx)
Note
----
Implemented for internal use only. Use with extreme caution.
"""
def __init__ (self, idx):
self.idx = _uidx()
self.isBatch = False
self.isSeq = True
if isinstance(idx, BaseArray):
arr = ct.c_void_p(0)
if (idx.type() == Dtype.b8.value):
safe_call(backend.get().af_where(ct.pointer(arr), idx.arr))
else:
safe_call(backend.get().af_retain_array(ct.pointer(arr), idx.arr))
self.idx.arr = arr
self.isSeq = False
elif isinstance(idx, ParallelRange):
self.idx.seq = idx
self.isBatch = True
else:
self.idx.seq = Seq(idx)
def __del__(self):
if not self.isSeq:
# ctypes field variables are automatically
# converted to basic C types so we have to
# build the void_p from the value again.
arr = ct.c_void_p(self.idx.arr)
backend.get().af_release_array(arr)
class _Index4(object):
def __init__(self, idx0, idx1, idx2, idx3):
index_vec = Index * 4
self.array = index_vec(idx0, idx1, idx2, idx3)
# Do not lose those idx as self.array keeps
# no reference to them. Otherwise the destructor
# is prematurely called
self.idxs = [idx0,idx1,idx2,idx3]
@property
def pointer(self):
return ct.pointer(self.array)
def __getitem__(self, idx):
return self.array[idx]
def __setitem__(self, idx, value):
self.array[idx] = value
self.idxs[idx] = value
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