guilhermeleobas

$ NUMBA_OPT=0 NUMBA_DUMP_CFG=1 NUMBA_DEBUG_PRINT_BEFORE=translate_bytecode NUMBA_DEBUG_PRINT_AFTER=translate_bytecode pytest -sv rbc/tests/test_omnisci_array.py::test_array_ret -x --disable-warnings
============================================================================================================================ test session starts =============================================================================================================================
platform darwin -- Python 3.8.1, pytest-5.3.5, py-1.8.1, pluggy-0.13.1 -- /Users/guilhermeleobas/miniconda3/envs/rbc-dev/bin/python
cachedir: .pytest_cache
rootdir: /Users/guilhermeleobas/Documents/GitHub/rbc
collecting ...  OmnisciDB version (5, 1, 0, '-20200211-bc790105fb')
collected 1 item

rbc/tests/test_omnisci_array.py::test_array_ret -------------rbc.tests.test_omnisci_array.test_array_ret.<locals>.foo: nopython: BEFORE translate_bytecode--------------
func_ir is None

guilhermeleobas

from numba.core.extending import typeof_impl, type_callable, \
    models, register_model, make_attribute_wrapper, lower_builtin, \
    unbox, box, overload, overload_method, intrinsic
from numba.core import cgutils, typing
from numba.core.imputils import numba_typeref_ctor
from numba import types, njit, typeof
from llvmlite import ir
import operator

# Array

guilhermeleobas

from numba.core.extending import typeof_impl, type_callable, \
    models, register_model, make_attribute_wrapper, lower_builtin, \
    unbox, box, overload, overload_method, intrinsic
from numba.core import cgutils, typing
from numba.core.imputils import numba_typeref_ctor
from numba import types, njit, typeof
from llvmlite import ir
import operator

# Array

guilhermeleobas

#include <time.h>
#include <sys/time.h>
#include <stdio.h>
#include <string.h>
#include <stdlib.h>
#include <stdint.h>

#define SAMPLING_FACTOR 1000

double sampling(float *restrict m, int n){

guilhermeleobas

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# OmniSci User Defined Table Function Support\n",
    "\n",
    "The *Remote Backend Compiler* package supports OmniSci table functions. Table functions blah balh blah.\n",
    "\n",

guilhermeleobas

guilhermeleobas

@extending.intrinsic
def zeros(typingctx, shape, dtype=nb_types.double):
    # find the correct zero
    if isinstance(dtype, nb_types.Integer):
        zero = 0
    elif isinstance(dtype, nb_types.Float):
        zero = 0.0
    else:
        msg = 'omnisci_np_zeros: dtype {} not supported'.format(dtype)
        raise errors.TypingError(msg)

guilhermeleobas

from numba import njit
from numba.core import extending, types, cgutils
import operator
from llvmlite import ir

i32 = ir.IntType(32)

class Buffer():
    pass

guilhermeleobas

from numba.core import extending

class Namespace(object):
    def __init__(self):
        self._globals = {}
    
    @property
    def globals(self):
        return self._globals

guilhermeleobas

import numpy as np
from collections import defaultdict
from sparse._meta.dense_level import Dense
from copy import copy

counter = 97 

class IndexVar(object):
    def __init__(self, name=None):
        if name is None: