2017-04-24 12:45:02 -04:00
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import unittest
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import random
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from collections import namedtuple
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2018-02-23 07:38:19 -05:00
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from migen import *
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2017-04-24 12:45:02 -04:00
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from litex.soc.cores import code_8b10b
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Control = namedtuple("Control", "value")
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2019-06-10 12:53:30 -04:00
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code_8b10b_data_rd_m = [
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0b1001110100, 0b0111010100, 0b1011010100, 0b1100011011,
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0b1101010100, 0b1010011011, 0b0110011011, 0b1110001011,
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0b1110010100, 0b1001011011, 0b0101011011, 0b1101001011,
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0b0011011011, 0b1011001011, 0b0111001011, 0b0101110100,
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0b0110110100, 0b1000111011, 0b0100111011, 0b1100101011,
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0b0010111011, 0b1010101011, 0b0110101011, 0b1110100100,
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0b1100110100, 0b1001101011, 0b0101101011, 0b1101100100,
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0b0011101011, 0b1011100100, 0b0111100100, 0b1010110100,
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0b1001111001, 0b0111011001, 0b1011011001, 0b1100011001,
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0b1101011001, 0b1010011001, 0b0110011001, 0b1110001001,
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0b1110011001, 0b1001011001, 0b0101011001, 0b1101001001,
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0b0011011001, 0b1011001001, 0b0111001001, 0b0101111001,
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0b0110111001, 0b1000111001, 0b0100111001, 0b1100101001,
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0b0010111001, 0b1010101001, 0b0110101001, 0b1110101001,
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0b1100111001, 0b1001101001, 0b0101101001, 0b1101101001,
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0b0011101001, 0b1011101001, 0b0111101001, 0b1010111001,
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0b1001110101, 0b0111010101, 0b1011010101, 0b1100010101,
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0b1101010101, 0b1010010101, 0b0110010101, 0b1110000101,
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0b1110010101, 0b1001010101, 0b0101010101, 0b1101000101,
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0b0011010101, 0b1011000101, 0b0111000101, 0b0101110101,
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0b0110110101, 0b1000110101, 0b0100110101, 0b1100100101,
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0b0010110101, 0b1010100101, 0b0110100101, 0b1110100101,
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0b1100110101, 0b1001100101, 0b0101100101, 0b1101100101,
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0b0011100101, 0b1011100101, 0b0111100101, 0b1010110101,
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0b1001110011, 0b0111010011, 0b1011010011, 0b1100011100,
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0b1101010011, 0b1010011100, 0b0110011100, 0b1110001100,
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0b1110010011, 0b1001011100, 0b0101011100, 0b1101001100,
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0b0011011100, 0b1011001100, 0b0111001100, 0b0101110011,
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0b0110110011, 0b1000111100, 0b0100111100, 0b1100101100,
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0b0010111100, 0b1010101100, 0b0110101100, 0b1110100011,
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0b1100110011, 0b1001101100, 0b0101101100, 0b1101100011,
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0b0011101100, 0b1011100011, 0b0111100011, 0b1010110011,
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0b1001110010, 0b0111010010, 0b1011010010, 0b1100011101,
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0b1101010010, 0b1010011101, 0b0110011101, 0b1110001101,
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0b1110010010, 0b1001011101, 0b0101011101, 0b1101001101,
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0b0011011101, 0b1011001101, 0b0111001101, 0b0101110010,
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0b0110110010, 0b1000111101, 0b0100111101, 0b1100101101,
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0b0010111101, 0b1010101101, 0b0110101101, 0b1110100010,
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0b1100110010, 0b1001101101, 0b0101101101, 0b1101100010,
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0b0011101101, 0b1011100010, 0b0111100010, 0b1010110010,
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0b1001111010, 0b0111011010, 0b1011011010, 0b1100011010,
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0b1101011010, 0b1010011010, 0b0110011010, 0b1110001010,
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0b1110011010, 0b1001011010, 0b0101011010, 0b1101001010,
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0b0011011010, 0b1011001010, 0b0111001010, 0b0101111010,
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0b0110111010, 0b1000111010, 0b0100111010, 0b1100101010,
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0b0010111010, 0b1010101010, 0b0110101010, 0b1110101010,
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0b1100111010, 0b1001101010, 0b0101101010, 0b1101101010,
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0b0011101010, 0b1011101010, 0b0111101010, 0b1010111010,
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0b1001110110, 0b0111010110, 0b1011010110, 0b1100010110,
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0b1101010110, 0b1010010110, 0b0110010110, 0b1110000110,
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0b1110010110, 0b1001010110, 0b0101010110, 0b1101000110,
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0b0011010110, 0b1011000110, 0b0111000110, 0b0101110110,
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0b0110110110, 0b1000110110, 0b0100110110, 0b1100100110,
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0b0010110110, 0b1010100110, 0b0110100110, 0b1110100110,
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0b1100110110, 0b1001100110, 0b0101100110, 0b1101100110,
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0b0011100110, 0b1011100110, 0b0111100110, 0b1010110110,
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0b1001110001, 0b0111010001, 0b1011010001, 0b1100011110,
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0b1101010001, 0b1010011110, 0b0110011110, 0b1110001110,
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0b1110010001, 0b1001011110, 0b0101011110, 0b1101001110,
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0b0011011110, 0b1011001110, 0b0111001110, 0b0101110001,
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0b0110110001, 0b1000110111, 0b0100110111, 0b1100101110,
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0b0010110111, 0b1010101110, 0b0110101110, 0b1110100001,
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0b1100110001, 0b1001101110, 0b0101101110, 0b1101100001,
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0b0011101110, 0b1011100001, 0b0111100001, 0b1010110001
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]
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code_8b10b_data_rd_p = [
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0b0110001011, 0b1000101011, 0b0100101011, 0b1100010100,
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0b0010101011, 0b1010010100, 0b0110010100, 0b0001110100,
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0b0001101011, 0b1001010100, 0b0101010100, 0b1101000100,
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0b0011010100, 0b1011000100, 0b0111000100, 0b1010001011,
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0b1001001011, 0b1000110100, 0b0100110100, 0b1100100100,
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0b0010110100, 0b1010100100, 0b0110100100, 0b0001011011,
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0b0011001011, 0b1001100100, 0b0101100100, 0b0010011011,
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0b0011100100, 0b0100011011, 0b1000011011, 0b0101001011,
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0b0110001001, 0b1000101001, 0b0100101001, 0b1100011001,
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0b0010101001, 0b1010011001, 0b0110011001, 0b0001111001,
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0b0001101001, 0b1001011001, 0b0101011001, 0b1101001001,
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0b0011011001, 0b1011001001, 0b0111001001, 0b1010001001,
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0b1001001001, 0b1000111001, 0b0100111001, 0b1100101001,
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0b0010111001, 0b1010101001, 0b0110101001, 0b0001011001,
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0b0011001001, 0b1001101001, 0b0101101001, 0b0010011001,
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0b0011101001, 0b0100011001, 0b1000011001, 0b0101001001,
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0b0110000101, 0b1000100101, 0b0100100101, 0b1100010101,
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0b0010100101, 0b1010010101, 0b0110010101, 0b0001110101,
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0b0001100101, 0b1001010101, 0b0101010101, 0b1101000101,
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0b0011010101, 0b1011000101, 0b0111000101, 0b1010000101,
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0b1001000101, 0b1000110101, 0b0100110101, 0b1100100101,
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0b0010110101, 0b1010100101, 0b0110100101, 0b0001010101,
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0b0011000101, 0b1001100101, 0b0101100101, 0b0010010101,
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0b0011100101, 0b0100010101, 0b1000010101, 0b0101000101,
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0b0110001100, 0b1000101100, 0b0100101100, 0b1100010011,
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0b0010101100, 0b1010010011, 0b0110010011, 0b0001110011,
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0b0001101100, 0b1001010011, 0b0101010011, 0b1101000011,
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0b0011010011, 0b1011000011, 0b0111000011, 0b1010001100,
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0b1001001100, 0b1000110011, 0b0100110011, 0b1100100011,
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0b0010110011, 0b1010100011, 0b0110100011, 0b0001011100,
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0b0011001100, 0b1001100011, 0b0101100011, 0b0010011100,
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0b0011100011, 0b0100011100, 0b1000011100, 0b0101001100,
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0b0110001101, 0b1000101101, 0b0100101101, 0b1100010010,
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0b0010101101, 0b1010010010, 0b0110010010, 0b0001110010,
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0b0001101101, 0b1001010010, 0b0101010010, 0b1101000010,
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0b0011010010, 0b1011000010, 0b0111000010, 0b1010001101,
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0b1001001101, 0b1000110010, 0b0100110010, 0b1100100010,
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0b0010110010, 0b1010100010, 0b0110100010, 0b0001011101,
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0b0011001101, 0b1001100010, 0b0101100010, 0b0010011101,
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0b0011100010, 0b0100011101, 0b1000011101, 0b0101001101,
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0b0110001010, 0b1000101010, 0b0100101010, 0b1100011010,
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0b0010101010, 0b1010011010, 0b0110011010, 0b0001111010,
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0b0001101010, 0b1001011010, 0b0101011010, 0b1101001010,
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0b0011011010, 0b1011001010, 0b0111001010, 0b1010001010,
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0b1001001010, 0b1000111010, 0b0100111010, 0b1100101010,
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0b0010111010, 0b1010101010, 0b0110101010, 0b0001011010,
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0b0011001010, 0b1001101010, 0b0101101010, 0b0010011010,
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0b0011101010, 0b0100011010, 0b1000011010, 0b0101001010,
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0b0110000110, 0b1000100110, 0b0100100110, 0b1100010110,
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0b0010100110, 0b1010010110, 0b0110010110, 0b0001110110,
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0b0001100110, 0b1001010110, 0b0101010110, 0b1101000110,
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0b0011010110, 0b1011000110, 0b0111000110, 0b1010000110,
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0b1001000110, 0b1000110110, 0b0100110110, 0b1100100110,
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0b0010110110, 0b1010100110, 0b0110100110, 0b0001010110,
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0b0011000110, 0b1001100110, 0b0101100110, 0b0010010110,
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0b0011100110, 0b0100010110, 0b1000010110, 0b0101000110,
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0b0110001110, 0b1000101110, 0b0100101110, 0b1100010001,
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0b0010101110, 0b1010010001, 0b0110010001, 0b0001110001,
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0b0001101110, 0b1001010001, 0b0101010001, 0b1101001000,
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0b0011010001, 0b1011001000, 0b0111001000, 0b1010001110,
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0b1001001110, 0b1000110001, 0b0100110001, 0b1100100001,
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0b0010110001, 0b1010100001, 0b0110100001, 0b0001011110,
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0b0011001110, 0b1001100001, 0b0101100001, 0b0010011110,
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0b0011100001, 0b0100011110, 0b1000011110, 0b0101001110
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]
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def inverse_data_rd(table):
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inverse_table = {}
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for i in range(256):
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inverse_table[table[i]] = i
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return inverse_table
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code_8b10b_data_rd_m_inverse = inverse_data_rd(code_8b10b_data_rd_m)
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code_8b10b_data_rd_p_inverse = inverse_data_rd(code_8b10b_data_rd_p)
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code_8b10b_control_rd_m = {
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0b00011100: 0b0011110100, #K28.0
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0b00111100: 0b0011111001, #K28.1
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0b01011100: 0b0011110101, #K28.2
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0b01111100: 0b0011110011, #K28.3
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0b10011100: 0b0011110010, #K28.4
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0b10111100: 0b0011111010, #K28.5
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0b11011100: 0b0011110110, #K28.6
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0b11111100: 0b0011111000, #K28.7
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0b11110111: 0b1110101000, #K23.7
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0b11111011: 0b1101101000, #K27.7
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0b11111101: 0b1011101000, #K29.7
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0b11111110: 0b0111101000 #K30.7
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}
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code_8b10b_control_rd_p = {
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0b00011100: 0b1100001011, #K28.0
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0b00111100: 0b1100000110, #K28.1
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0b01011100: 0b1100001010, #K28.2
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0b01111100: 0b1100001100, #K28.3
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0b10011100: 0b1100001101, #K28.4
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0b10111100: 0b1100000101, #K28.5
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0b11011100: 0b1100001001, #K28.6
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0b11111100: 0b1100000111, #K28.7
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0b11110111: 0b0001010111, #K23.7
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0b11111011: 0b0010010111, #K27.7
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0b11111101: 0b0100010111, #K29.7
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0b11111110: 0b1000010111 #K30.7
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}
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def inverse_control_rd(table):
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inverse_table = {}
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for k, v in table.items():
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inverse_table[v] = k
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return inverse_table
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code_8b10b_control_rd_m_inverse = inverse_control_rd(code_8b10b_control_rd_m)
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code_8b10b_control_rd_p_inverse = inverse_control_rd(code_8b10b_control_rd_p)
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def encode_model(datas):
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encoded_datas = []
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table = "m"
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change_table = False
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for octet in datas:
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if change_table:
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table = "p" if table == "m" else "m"
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if isinstance(octet, Control):
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if table == "p":
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encoded_octet = code_8b10b_control_rd_p[octet.value]
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else:
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encoded_octet = code_8b10b_control_rd_m[octet.value]
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else:
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if table == "p":
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encoded_octet = code_8b10b_data_rd_p[octet]
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else:
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encoded_octet = code_8b10b_data_rd_m[octet]
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change_table = (code_8b10b.disparity(encoded_octet, 10) != 0)
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encoded_datas.append(encoded_octet)
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return encoded_datas
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def decode_model(datas):
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decoded_datas = []
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for encoded_octet in datas:
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try:
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octet = code_8b10b_data_rd_m_inverse[encoded_octet]
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except:
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try:
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octet = code_8b10b_data_rd_p_inverse[encoded_octet]
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except:
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try:
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octet = Control(code_8b10b_control_rd_p_inverse[encoded_octet])
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except:
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octet = Control(code_8b10b_control_rd_m_inverse[encoded_octet])
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decoded_datas.append(octet)
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return decoded_datas
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2017-04-24 12:45:02 -04:00
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def encode_sequence(seq):
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output = []
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dut = code_8b10b.Encoder()
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def pump():
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for w in seq:
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if isinstance(w, Control):
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yield dut.k[0].eq(1)
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yield dut.d[0].eq(w.value)
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else:
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yield dut.k[0].eq(0)
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yield dut.d[0].eq(w)
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yield
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output.append((yield dut.output[0]))
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for _ in range(2):
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yield
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output.append((yield dut.output[0]))
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run_simulation(dut, pump())
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return output[2:]
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def decode_sequence(seq):
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output = []
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dut = code_8b10b.Decoder()
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|
|
def pump():
|
|
|
|
for w in seq:
|
|
|
|
yield dut.input.eq(w)
|
|
|
|
yield
|
|
|
|
if (yield dut.k):
|
|
|
|
output.append(Control((yield dut.d)))
|
|
|
|
else:
|
|
|
|
output.append((yield dut.d))
|
|
|
|
yield
|
|
|
|
if (yield dut.k):
|
|
|
|
output.append(Control((yield dut.d)))
|
|
|
|
else:
|
|
|
|
output.append((yield dut.d))
|
|
|
|
run_simulation(dut, pump())
|
|
|
|
return output[1:]
|
|
|
|
|
|
|
|
|
2019-06-10 12:53:30 -04:00
|
|
|
class TestCode8B10B(unittest.TestCase):
|
2017-04-24 12:45:02 -04:00
|
|
|
@classmethod
|
|
|
|
def setUpClass(cls):
|
|
|
|
prng = random.Random(42)
|
|
|
|
cls.input_sequence = []
|
|
|
|
for i in 23, 27, 29, 30:
|
|
|
|
cls.input_sequence += [Control((7 << 5) | i)]*2
|
|
|
|
for i in range(8):
|
|
|
|
cls.input_sequence += [Control((i << 5) | 28)]*2
|
|
|
|
cls.input_sequence += [prng.randrange(256) for _ in range(10000)]
|
|
|
|
cls.output_sequence = encode_sequence(cls.input_sequence)
|
|
|
|
|
2019-06-10 12:53:30 -04:00
|
|
|
def test_coding(self):
|
|
|
|
reference_sequence = encode_model(self.input_sequence)
|
|
|
|
self.assertEqual(reference_sequence, self.output_sequence)
|
|
|
|
|
2017-04-24 12:45:02 -04:00
|
|
|
def test_comma(self):
|
|
|
|
control_chars = [
|
|
|
|
0b1110101000,
|
|
|
|
0b1101101000,
|
|
|
|
0b1011101000,
|
|
|
|
0b0111101000,
|
|
|
|
|
|
|
|
0b0011110100,
|
|
|
|
0b0011111001,
|
|
|
|
0b0011110101,
|
|
|
|
0b0011110011,
|
|
|
|
0b0011110010,
|
|
|
|
0b0011111010,
|
|
|
|
0b0011110110,
|
|
|
|
0b0011111000,
|
|
|
|
]
|
|
|
|
for i, c in enumerate(control_chars):
|
|
|
|
ok = {c, ~c & 0b1111111111}
|
|
|
|
with self.subTest(i=i):
|
|
|
|
self.assertIn(self.output_sequence[2*i], ok)
|
|
|
|
self.assertIn(self.output_sequence[2*i+1], ok)
|
|
|
|
|
|
|
|
def test_running_disparity(self):
|
|
|
|
rd = -1
|
|
|
|
for w in self.output_sequence:
|
|
|
|
rd += code_8b10b.disparity(w, 10)
|
|
|
|
self.assertIn(rd, {-1, 1})
|
|
|
|
|
|
|
|
def test_no_spurious_commas(self):
|
|
|
|
for w1, w2 in zip(self.output_sequence[16+8:], self.output_sequence[16+8+1:]):
|
|
|
|
for shift in range(10):
|
|
|
|
cw = (w1 << shift) | (w2 >> (10-shift))
|
|
|
|
self.assertNotIn(cw, {0b0011111001, 0b1100000110, # K28.1
|
|
|
|
0b0011111010, 0b1100000101, # K28.5
|
|
|
|
0b0011111000, 0b1100000111}) # K28.7
|
|
|
|
|
|
|
|
def test_roundtrip(self):
|
|
|
|
self.assertEqual(self.input_sequence,
|
|
|
|
decode_sequence(self.output_sequence))
|