#===============================================================================
# Copyright 2014-2021 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
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# distributed under the License is distributed on an "AS IS" BASIS,
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#===============================================================================

# daal4py low order moments example for distributed memory systems; SPMD mode
# run like this:
#    mpirun -n 4 python ./low_order_moms_spmd.py

import daal4py as d4p

# let's use a reading of file in chunks (defined in spmd_utils.py)
from spmd_utils import read_csv, get_chunk_params


def main():
    infile = "./data/batch/covcormoments_dense.csv"

    # We know the number of lines in the file
    # and use this to separate data between processes
    skiprows, nrows = get_chunk_params(lines_count=200,
                                       chunks_count=d4p.num_procs(),
                                       chunk_number=d4p.my_procid())

    # Each process reads its chunk of the file
    data = read_csv(infile, sr=skiprows, nr=nrows)

    # Create algorithm with distributed mode
    alg = d4p.low_order_moments(method='defaultDense', distributed=True)

    # Perform computation
    res = alg.compute(data)

    # result provides minimum, maximum, sum, sumSquares, sumSquaresCentered,
    # mean, secondOrderRawMoment, variance, standardDeviation, variation
    assert(all(getattr(res, name).shape == (1, data.shape[1]) for name in
               ['minimum', 'maximum', 'sum', 'sumSquares', 'sumSquaresCentered', 'mean',
                'secondOrderRawMoment', 'variance', 'standardDeviation', 'variation']))

    return res


if __name__ == "__main__":
    # Initialize SPMD mode
    d4p.daalinit()
    res = main()
    # result is available on all processes - but we print only on root
    if d4p.my_procid() == 0:
        print(res)
    d4p.daalfini()