# Copyright (c) 2020 Dimitrios-Georgios Akestoridis
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
# distribute, sublicense, and/or sell copies of the Software, and to
# permit persons to whom the Software is furnished to do so, subject to
# the following conditions:
#
# The above copyright notice and this permission notice shall be included
# in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
# IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
# CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
# TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
# SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

from . import correlation


def correlate(z_matrix, c_method):
    """Compute the requested correlation coefficients of a matrix."""
    # Use the selected correlation method
    if c_method.upper() == "PEARSON":
        return correlation.pearson(z_matrix)
    elif c_method.upper() == "ABSPEARSON":
        return correlation.abspearson(z_matrix)
    elif c_method.upper() == "DCOR":
        return correlation.dcor(z_matrix)
    else:
        raise ValueError("Unknown correlation method ({})".format(c_method))

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def correlate(z_matrix, c_method):
    """Compute the requested correlation coefficients of a matrix."""
    if c_method.upper() == 'PEARSON':
        return correlation.pearson(z_matrix)
    elif c_method.upper() == 'ABSPEARSON':
        return correlation.abspearson(z_matrix)
    elif c_method.upper() == 'DCOR':
        return correlation.dcor(z_matrix)
    else:
        raise ValueError('Unknown correlation method ({})'.format(c_method))

from . import correlation


def correlate(z_matrix, c_method):
    """Compute the requested correlation coefficients of a matrix."""
    if c_method.upper() == 'PEARSON':
        return correlation.pearson(z_matrix)
    elif c_method.upper() == 'ABSPEARSON':
        return correlation.abspearson(z_matrix)
    elif c_method.upper() == 'DCOR':
        return correlation.dcor(z_matrix)
    else:
        raise ValueError('Unknown correlation method ({})'.format(c_method))

# Copyright (c) 2020 Dimitrios-Georgios Akestoridis
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction, including
# without limitation the rights to use, copy, modify, merge, publish,
# distribute, sublicense, and/or sell copies of the Software, and to
# permit persons to whom the Software is furnished to do so, subject to
# the following conditions:
#
# The above copyright notice and this permission notice shall be included
# in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
# IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
# CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
# TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
# SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

from . import correlation


def correlate(z_matrix, c_method):
    """Compute the requested correlation coefficients of a matrix."""
    # Use the selected correlation method
    if c_method.upper() == "PEARSON":
        return correlation.pearson(z_matrix)
    elif c_method.upper() == "ABSPEARSON":
        return correlation.abspearson(z_matrix)
    elif c_method.upper() == "DCOR":
        return correlation.dcor(z_matrix)
    else:
        raise ValueError("Unknown correlation method ({})".format(c_method))
