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###################################################################
# Numexpr - Fast numerical array expression evaluator for NumPy.
#
# License: MIT
# Author: See AUTHORS.txt
#
# See LICENSE.txt and LICENSES/*.txt for details about copyright and
# rights to use.
####################################################################
"""
Numexpr is a fast numerical expression evaluator for NumPy. With it,
expressions that operate on arrays (like "3*a+4*b") are accelerated
and use less memory than doing the same calculation in Python.
See:
https://github.com/pydata/numexpr
for more info about it.
"""
from numexpr.interpreter import MAX_THREADS, use_vml, __BLOCK_SIZE1__
is_cpu_amd_intel = False # DEPRECATION WARNING: WILL BE REMOVED IN FUTURE RELEASE
# cpuinfo imports were moved into the test submodule function that calls them
# to improve import times.
import os, os.path
import platform
from numexpr.expressions import E
from numexpr.necompiler import (NumExpr, disassemble, evaluate, re_evaluate,
validate)
from numexpr.utils import (_init_num_threads,
get_vml_version, set_vml_accuracy_mode, set_vml_num_threads,
set_num_threads, get_num_threads,
detect_number_of_cores, detect_number_of_threads)
# Detect the number of cores
ncores = detect_number_of_cores()
# Initialize the number of threads to be used
nthreads = _init_num_threads()
# The default for VML is 1 thread (see #39)
# set_vml_num_threads(1)
from . import version
__version__ = version.version
def print_versions():
"""Print the versions of software that numexpr relies on."""
try:
import numexpr.tests
return numexpr.tests.print_versions()
except ImportError:
# To maintain Python 2.6 compatibility we have simple error handling
raise ImportError('`numexpr.tests` could not be imported, likely it was excluded from the distribution.')
def test(verbosity=1):
"""Run all the tests in the test suite."""
try:
import numexpr.tests
return numexpr.tests.test(verbosity=verbosity)
except ImportError:
# To maintain Python 2.6 compatibility we have simple error handling
raise ImportError('`numexpr.tests` could not be imported, likely it was excluded from the distribution.') |