calc pi example fails

[petacube]

#calc_pi.py
import hpat
import numpy as np
import time

@hpat.jit
def calc_pi(n):

t1 = time.time()
x = 2 * np.random.ranf(n) - 1
y = 2 * np.random.ranf(n) - 1
pi = 4 * np.sum(x**2 + y**2 < 1) / n
print("Execution time:", time.time()-t1, "\nresult:", pi)
return pi

calc_pi(2 * 10**8)

python calc_pi.py
Traceback (most recent call last):
File "calc_pi.py", line 15, in
calc_pi(2 * 10**8)
File "/anaconda3/lib/python3.5/site-packages/numba/dispatcher.py", line 360, in _compile_for_args
raise e
File "/anaconda3/lib/python3.5/site-packages/numba/dispatcher.py", line 311, in _compile_for_args
return self.compile(tuple(argtypes))
File "/anaconda3/lib/python3.5/site-packages/numba/dispatcher.py", line 618, in compile
cres = self._compiler.compile(args, return_type)
File "/anaconda3/lib/python3.5/site-packages/numba/dispatcher.py", line 83, in compile
pipeline_class=self.pipeline_class)
File "/anaconda3/lib/python3.5/site-packages/numba/compiler.py", line 871, in compile_extra
return pipeline.compile_extra(func)
File "/anaconda3/lib/python3.5/site-packages/numba/compiler.py", line 365, in compile_extra
return self._compile_bytecode()
File "/anaconda3/lib/python3.5/site-packages/numba/compiler.py", line 802, in _compile_bytecode
return self._compile_core()
File "/anaconda3/lib/python3.5/site-packages/numba/compiler.py", line 789, in _compile_core
res = pm.run(self.status)
File "/anaconda3/lib/python3.5/site-packages/numba/compiler.py", line 251, in run
raise patched_exception
File "/anaconda3/lib/python3.5/site-packages/numba/compiler.py", line 243, in run
stage()
File "/anaconda3/lib/python3.5/site-packages/hpat-0.22-py3.5-macosx-10.6-x86_64.egg/hpat/compiler.py", line 209, in stage_distributed_pass
dist_pass.run()
File "/anaconda3/lib/python3.5/site-packages/hpat-0.22-py3.5-macosx-10.6-x86_64.egg/hpat/distributed.py", line 92, in run
self.func_ir.blocks = self._run_dist_pass(self.func_ir.blocks)
File "/anaconda3/lib/python3.5/site-packages/hpat-0.22-py3.5-macosx-10.6-x86_64.egg/hpat/distributed.py", line 225, in _run_dist_pass
new_body += self._gen_barrier()
File "/anaconda3/lib/python3.5/site-packages/hpat-0.22-py3.5-macosx-10.6-x86_64.egg/hpat/distributed.py", line 1954, in _gen_barrier
self.typemap, self.calltypes).blocks
File "/anaconda3/lib/python3.5/site-packages/numba/ir_utils.py", line 1445, in compile_to_numba_ir
f_ir = get_ir_of_code(glbls, code)
File "/anaconda3/lib/python3.5/site-packages/numba/ir_utils.py", line 1490, in get_ir_of_code
if co_varnames[0] == ".0":
IndexError: Failed at hpat (convert to distributed)
list index out of range

[ehsantn]

Could you try Python 3.6?

[petacube]

this is python 3.6. - clean install from conda
to replicate
conda install -n py36 python=3.6
conda install -f requirements.txt
python setup.py install

source activate py36
(py36)
python calc_pi.py
Traceback (most recent call last):
File "calc_pi.py", line 1, in
import hpat
File "/anaconda3/envs/py36/lib/python3.6/site-packages/hpat-0.22-py3.6-macosx-10.7-x86_64.egg/hpat/init.py", line 5, in
import hpat.dict_ext
File "/anaconda3/envs/py36/lib/python3.6/site-packages/hpat-0.22-py3.6-macosx-10.7-x86_64.egg/hpat/dict_ext.py", line 9, in
from hpat.str_ext import string_type
File "/anaconda3/envs/py36/lib/python3.6/site-packages/hpat-0.22-py3.6-macosx-10.7-x86_64.egg/hpat/str_ext.py", line 14, in
import hstr_ext
ImportError: dlopen(/anaconda3/envs/py36/lib/python3.6/site-packages/hpat-0.22-py3.6-macosx-10.7-x86_64.egg/hstr_ext.cpython-36m-darwin.so, 2): Symbol not fo
und: _ZNK5boost16re_detail_10640031cpp_regex_traits_implementationIcE17transform_primaryEPKcS4
Referenced from: /anaconda3/envs/py36/lib/python3.6/site-packages/hpat-0.22-py3.6-macosx-10.7-x86_64.egg/hstr_ext.cpython-36m-darwin.so
Expected in: /usr/local/lib/libboost_regex.dylib
in /anaconda3/envs/py36/lib/python3.6/site-packages/hpat-0.22-py3.6-macosx-10.7-x86_64.egg/hstr_ext.cpython-36m-darwin.so

[ehsantn]

could you paste the output of conda list?

[petacube]

(py36) conda list

packages in environment at /anaconda3/envs/py36:

Name Version Build Channel

ca-certificates 2018.4.16 0 conda-forge
certifi 2018.4.16 py36_0 conda-forge
hpat 0.22
libcxx 4.0.1 h579ed51_0
libcxxabi 4.0.1 hebd6815_0
libedit 3.1.20170329 hb402a30_2
libffi 3.2.1 h475c297_4
libgfortran 3.0.0 0 conda-forge
llvmlite 0.23.2
mpi 1.0 mpich conda-forge
mpich 3.2.1 h26a2512_4 conda-forge
ncurses 6.1 h0a44026_0
numba 0.38.1
numpy 1.14.5
openssl 1.0.2o 0 conda-forge
pandas 0.23.1
pip 10.0.1 py36_0
python 3.6.6 hc167b69_0
python-dateutil 2.7.3
pytz 2018.5
readline 7.0 hc1231fa_4
scipy 1.1.0
setuptools 39.2.0 py36_0
six 1.11.0
sqlite 3.24.0 ha441bb4_0
tk 8.6.7 h35a86e2_3
wheel 0.31.1 py36_0
xz 5.2.4 h1de35cc_4
zlib 1.2.11 hf3cbc9b_2

[ehsantn]

boost is missing and Numba is also old (0.39 is needed). Why are you not using our conda install command?
conda create -n HPAT -c ehsantn -c numba -c anaconda -c conda-forge hpat

[petacube]

ok requirements file has line numba >=0.38

boost i had installed with brew
brew install boost
Warning: boost 1.67.0_1 is already installed and up-to-date
To reinstall 1.67.0_1, run brew reinstall boost

[petacube]

i am able to run examples when create new py36 virtual env. i follow your instructions for using custom channels.
i am still curious though why my libboost did not work with clean python 3.6 and brew installed libboost. i can see that hpat extension also installs libboost of its own and contains relative reference to its own instlalled version.

[ehsantn]

hpat 0.22 in the channel is built with default Anaconda's Boost, which is 1.65 and is built with GCC 7.2. Anything other than this can fail. If you want to use another boost version, you have to build every package that depends on boost from source (HPAT, pyarrow, etc.). Going out of Conda environment can cause a lot of issues...