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# *****************************************************************************
# Copyright (c) 2019-2020, Intel Corporation All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
#
# Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
# THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR
# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,
# EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
# *****************************************************************************
import numba
# re-export from Numba
from numba import (typeof, prange, pndindex, gdb, gdb_breakpoint, gdb_init,
stencil, threading_layer, jitclass, objmode)
import sdc.config
import sdc.set_ext
import sdc.io
import sdc.io.np_io
import sdc.hiframes.pd_timestamp_ext
import sdc.hiframes.boxing
import sdc.timsort
from sdc.decorators import jit
import sdc.datatypes.hpat_pandas_dataframe_rolling_functions
import sdc.datatypes.hpat_pandas_series_functions
import sdc.datatypes.hpat_pandas_series_rolling_functions
import sdc.datatypes.hpat_pandas_stringmethods_functions
import sdc.datatypes.hpat_pandas_groupby_functions
import sdc.datatypes.categorical.init
import sdc.datatypes.series.init
import sdc.extensions.indexes.range_index_ext
from ._version import get_versions
if not sdc.config.config_pipeline_hpat_default:
"""
Overload Numba function to allow call SDC pass in Numba compiler pipeline
Functions are:
- Numba DefaultPassBuilder define_nopython_pipeline()
TODO: Needs to detect 'import Pandas' and align initialization according to it
"""
# sdc.config.numba_compiler_define_nopython_pipeline_orig = \
# numba.core.compiler.DefaultPassBuilder.define_nopython_pipeline
# numba.core.compiler.DefaultPassBuilder.define_nopython_pipeline = \
# sdc.datatypes.hpat_pandas_dataframe_pass.sdc_nopython_pipeline_lite_register
import sdc.rewrites.dataframe_constructor
import sdc.rewrites.read_csv_consts
import sdc.rewrites.dataframe_getitem_attribute
import sdc.datatypes.hpat_pandas_functions
import sdc.datatypes.hpat_pandas_dataframe_functions
else:
import sdc.compiler
multithread_mode = False
__version__ = get_versions()['version']
del get_versions
def _init_extension():
'''Register Pandas classes and functions with Numba.
This exntry_point is called by Numba when it initializes.
'''
# Importing SDC is already happened
pass