# Copyright (c) 2011 Massachusetts Institute of Technology
# 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;
# neither the name of the copyright holders nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# 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
# OWNER 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.

# Official Tool Website: www.mit.edu/~kaisopos/FaultModel
#
# If you use our tool for academic research, we request that you cite:
# Konstantinos Aisopos, Chia-Hsin Owen Chen, and Li-Shiuan Peh. Enabling
# System-Level Modeling of Variation-Induced Faults in Networks-on-Chip.
# Proceedings of the 48th Design Automation Conference (DAC'11)

from m5.params import *
from m5.SimObject import SimObject


class FaultModel(SimObject):
    type = "FaultModel"
    cxx_class = "gem5::ruby::FaultModel"
    cxx_header = "mem/ruby/network/fault_model/FaultModel.hh"

    baseline_fault_vector_database = VectorParam.Float(
        [
            5,
            40,
            0.080892,
            0.109175,
            0.018864,
            0.130408,
            0.059724,
            0.077571,
            0.034830,
            0.083430,
            0.067500,
            0.121500,
            5,
            39,
            0.062640,
            0.089100,
            0.016821,
            0.109620,
            0.051462,
            0.060210,
            0.029700,
            0.076140,
            0.062100,
            0.116100,
            5,
            38,
            0.050490,
            0.076950,
            0.015782,
            0.091530,
            0.044550,
            0.046170,
            0.025920,
            0.070200,
            0.057294,
            0.110700,
            5,
            37,
            0.042120,
            0.067770,
            0.014191,
            0.082890,
            0.040986,
            0.037800,
            0.023760,
            0.065880,
            0.053568,
            0.104490,
            5,
            36,
            0.035910,
            0.061020,
            0.013211,
            0.075600,
            0.035100,
            0.030240,
            0.021060,
            0.061560,
            0.049815,
            0.100710,
            5,
            35,
            0.032130,
            0.054810,
            0.011964,
            0.071550,
            0.031860,
            0.026730,
            0.019710,
            0.057510,
            0.047169,
            0.094230,
            5,
            34,
            0.028890,
            0.051030,
            0.011054,
            0.067500,
            0.030510,
            0.023450,
            0.018630,
            0.054000,
            0.045900,
            0.088290,
            5,
            33,
            0.026460,
            0.047250,
            0.010160,
            0.062640,
            0.028971,
            0.021600,
            0.017280,
            0.049410,
            0.042903,
            0.082080,
            5,
            32,
            0.024300,
            0.042930,
            0.009312,
            0.057780,
            0.027000,
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            0.016470,
            0.045360,
            0.041310,
            0.075600,
            5,
            31,
            0.022410,
            0.037260,
            0.008910,
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            0.024732,
            0.018171,
            0.015660,
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            0.039447,
            0.070740,
            5,
            30,
            0.021870,
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            29,
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            28,
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            27,
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            5,
            26,
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            0.051030,
            5,
            25,
            0.016462,
            0.020520,
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            0.028890,
            0.015822,
            0.013095,
            0.009442,
            0.021600,
            0.026379,
            0.046170,
            5,
            24,
            0.015930,
            0.018360,
            0.005940,
            0.026730,
            0.015047,
            0.012377,
            0.008918,
            0.018360,
            0.023193,
            0.037800,
            5,
            23,
            0.015390,
            0.017931,
            0.005594,
            0.025488,
            0.013365,
            0.012037,
            0.008775,
            0.015120,
            0.018657,
            0.031590,
            5,
            22,
            0.014804,
            0.017167,
            0.005338,
            0.023976,
            0.012258,
            0.011734,
            0.008087,
            0.013500,
            0.015444,
            0.026190,
            5,
            21,
            0.014180,
            0.016548,
            0.004995,
            0.022194,
            0.011807,
            0.011073,
            0.007236,
            0.011070,
            0.013500,
            0.021870,
            5,
            20,
            0.013743,
            0.016176,
            0.004613,
            0.020414,
            0.011070,
            0.010415,
            0.006220,
            0.010415,
            0.010800,
            0.019077,
            5,
            19,
            0.011877,
            0.015412,
            0.003861,
            0.016659,
            0.008235,
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            0.013770,
            5,
            18,
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            0.006885,
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            5,
            17,
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            0.002700,
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            5,
            16,
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            5,
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            0.003996,
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            5,
            14,
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            0.002538,
            0.006615,
            5,
            13,
            0.008116,
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            0.001566,
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            0.003564,
            0.001299,
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            0.005994,
            5,
            12,
            0.007908,
            0.006151,
            0.001350,
            0.005400,
            0.002471,
            0.003132,
            0.000794,
            0.004050,
            0.001323,
            0.005940,
            5,
            11,
            0.007690,
            0.005627,
            0.001094,
            0.005076,
            0.002363,
            0.002052,
            0.000567,
            0.003510,
            0.001188,
            0.004860,
            5,
            10,
            0.007560,
            0.005038,
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            0.000000,
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            0.000999,
            0.003240,
            5,
            9,
            0.007314,
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            0.000000,
            0.000000,
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            5,
            8,
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            0.000000,
            0.000000,
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            5,
            7,
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