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Description:

hope 0.7.3

HOPE is a specialized method-at-a-time JIT compiler written in Python for
translating Python source code into C++ and compiles this at runtime. In
contrast to other existing JIT compliers, which are designed for general
purpose, we have focused our development of the subset of the Python language
that is most relevant for astrophysical calculations. By concentrating on this
subset, HOPE is able to achieve the highest possible performance.
By using HOPE, the user can benefit from being able to write common
numerical code in Python and having the performance of compiled implementation.
To enable the HOPE JIT compilation, the user needs to add a decorator to
the function definition. The package does not require additional information,
which ensures that HOPE is as non-intrusive as possible:
from hope import jit

@jit
def sum(x, y):
return x + y
The HOPE package has been developed at ETH Zurich in the Software Lab of
the Cosmology Research Group of the ETH
Institute of Astronomy, and is now publicly
available at GitHub.
Further information on the package can be found in our paper, on
readthedocs.org and on our
website.

Python versions supported
Hope supports Python versions from 2.7 up to 3.6.

Installation
The package has been uploaded to PyPI
and can be installed at the command line via pip:
$ pip install hope
Or, if you have virtualenvwrapper installed:
$ mkvirtualenv hope
$ pip install hope

History

0.7.0 (2017-09-08)

Support for Python 3.5 and 3.6

0.6.1 (2016-07-04)

fixing bug when accessing class members for operations

0.6.0 (2016-04-19)

Fixed bug in 2d array slicing
Array slicing with negative index
Fixed name clash bug with object attributes
Replaced assignment with reference to object attributes

0.5.0 (2016-01-20)

Fixed memory leak when creating array in jitted fkt
Fixed incorrect bound handling in numpy.interp

0.4.0 (2015-02-04)

Increased compilation speed for large functions
Support for variable allocation within if-else
Added support for numpy.sign
Updated Cython implementation in benchmarks
Fixed array allocation problem under OSX Yosemite (thx iankronquist)

0.3.1 (2014-10-24)

Better support for Python 3.3 and 3.4
Proper integration in Travis CI
Improved support for Linux systems (accepting x86_64-linux-gnu-gcc)
Avoiding warning on Linux by removing Wstrict-prototypes arg
Supporting gcc proxied clang (OS X)
Added set of examples

0.3.0 (2014-10-16)

Language: scalar return values
Shared libraries are written to hope.config.prefix
Function call can have return values
Fixed function calls to function with no arguments
Make sure code is recompiled if the python code has changed
Added config.optimize to simplify expression using sympy and replace pow
Speed improvements for hope
Added support for object properties
Added support for object methods
Addes support for True and False
Addes support for While
Addes support for numpy.sum
Addes support for numpy.pi
Added support for numpy.floor, numpy.ceil, numpy.trunc, numpy.fabs, numpy.log
improved error messages
Added config.rangecheck flag
Support xrange in for loop
Added cast operators for np.bool_, np.int_, np.intc, np.int8, np.int16, np.int32, np.int64, np.uint8, np.uint16, np.uint32, np.uint64, np.float_, np.float32, np.float64,
Added bool operators
Added the following operators:

FloorDiv
a // b

Mod
a % b

LShift
a << b

RShift
a >> b

BitOr
a | b

BitXor
a ^ b

BitAnd
a & b

AugFloorDiv
a //= b

AugPow
a **= b

AugMod
a %= b

AugLShift
a <<= b

AugRShift
a <<= b

AugBitOr
a | b

AugBitXor
a ^ b

AugBitAnd
a & b

0.2.0 (2014-03-05)

First release on private PyPI.

0.1.0 (2014-02-27)

Initial creation.