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  "#737373",
  "#666666",
  "#737373",
  "#656565",
  "#616161",
  "#6c6c6c",
  "#727272",
  "#737373",
  "#737373",
  "#737373",
  "#717171",
  "#737373",
  "#737373",
  "#717171",
  "#737373",
  "#6c6c6c",
  "#6a6a6a",
  "#737373",
  "#696969",
  "#6f6f6f",
  "#737373",
  "#737373",
  "#707070",
  "#737373",
  "#717171",
  "#686868",
  "#6b6b6b",
  "#6d6d6d",
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  "#6c6c6c",
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  "#626262",
  "#6b6b6b",
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  "#717171",
  "#737373",
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  "#686868",
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  "#6f6f6f",
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  "#6e6e6e",
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  "#737373",
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  "#717171",
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  "#6c6c6c",
  "#6f6f6f",
  "#676767",
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  "#696969",
  "#737373",
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  "#6d6d6d",
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  "#6f6f6f",
  "#696969",
  "#676767",
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  "#6d6d6d",
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  "#717171",
  "#717171",
  "#6e6e6e",
  "#727272",
  "#737373",
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  "#6f6f6f",
  "#686868",
  "#5b5b5b",
  "#656565",
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  "#696969",
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  "#737373",
  "#6e6e6e",
  "#6a6a6a",
  "#707070",
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  "#6b6b6b",
  "#737373",
  "#727272",
  "#6f6f6f",
  "#737373",
  "#717171",
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  "#737373",
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  "#6d6d6d",
  "#6f6f6f",
  "#737373",
  "#616161",
  "#6a6a6a",
  "#737373",
  "#717171",
  "#717171",
  "#686868",
  "#676767",
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  "#676767",
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  "#737373",
  "#676767",
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  "#737373",
  "#737373",
  "#737373",
  "#6b6b6b",
  "#6a6a6a",
  "#696969",
  "#6f6f6f",
  "#6d6d6d",
  "#717171",
  "#6e6e6e",
  "#6f6f6f",
  "#6e6e6e",
  "#737373",
  "#737373",
  "#737373",
  "#737373",
  "#6d6d6d",
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  "#737373",
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  "#727272",
  "#6c6c6c",
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  "#737373",
  "#6d6d6d",
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  "#6c6c6c",
  "#676767",
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  "#6e6e6e",
  "#6e6e6e",
  "#737373",
  "#6f6f6f",
  "#737373",
  "#737373",
  "#6c6c6c",
  "#717171",
  "#737373",
  "#6f6f6f",
  "#707070",
  "#6c6c6c",
  "#717171",
  "#717171",
  "#717171",
  "#6d6d6d",
  "#707070",
  "#717171",
  "#737373",
  "#737373",
  "#737373",
  "#6e6e6e",
  "#666666",
  "#6e6e6e",
  "#676767",
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  "#717171",
  "#717171",
  "#737373",
  "#737373",
  "#737373",
  "#737373",
  "#6e6e6e",
  "#717171",
  "#737373",
  "#6c6c6c",
  "#737373",
  "#737373",
  "#6d6d6d",
  "#737373",
  "#6f6f6f",
  "#717171",
  "#717171",
  "#717171",
  "#717171",
  "#737373",
  "#737373",
  "#737373",
  "#6c6c6c",
  "#717171",
  "#6c6c6c",
  "#717171",
  "#717171"
]

filepath = "intro_vertices_power.csv"
with open(filepath) as fp:
    lines = fp.read().splitlines()
i = 0
with open(filepath, "w") as fp:
    for line in lines:
        print(line + ',' + str(a[i]) + ',' + str(b[i]), file=fp)

        i += 1