import numpy as np


def generate_data1():
    # fmt: off
    # Interleaved minx, miny, maxx, maxy
    data = [
        8, 62, 11, 66, 57, 17, 57, 19, 76, 26, 79, 29, 36, 56, 38, 56, 92, 77, 96, 80,
        87, 70, 90, 74, 43, 41, 47, 43, 0, 58, 2, 62, 76, 86, 80, 89, 27, 13, 27, 15,
        71, 63, 75, 67, 25, 2, 27, 2, 87, 6, 88, 6, 22, 90, 23, 93, 22, 89, 22, 93, 57,
        11, 61, 13, 61, 55, 63, 56, 17, 85, 21, 87, 33, 43, 37, 43, 6, 1, 7, 3, 80, 87,
        80, 87, 23, 50, 26, 52, 58, 89, 58, 89, 12, 30, 15, 34, 32, 58, 36, 61, 41, 84,
        44, 87, 44, 18, 44, 19, 13, 63, 15, 67, 52, 70, 54, 74, 57, 59, 58, 59, 17, 90,
        20, 92, 48, 53, 52, 56, 92, 68, 92, 72, 26, 52, 30, 52, 56, 23, 57, 26, 88, 48,
        88, 48, 66, 13, 67, 15, 7, 82, 8, 86, 46, 68, 50, 68, 37, 33, 38, 36, 6, 15, 8,
        18, 85, 36, 89, 38, 82, 45, 84, 48, 12, 2, 16, 3, 26, 15, 26, 16, 55, 23, 59,
        26, 76, 37, 79, 39, 86, 74, 90, 77, 16, 75, 18, 78, 44, 18, 45, 21, 52, 67, 54,
        71, 59, 78, 62, 78, 24, 5, 24, 8, 64, 80, 64, 83, 66, 55, 70, 55, 0, 17, 2, 19,
        15, 71, 18, 74, 87, 57, 87, 59, 6, 34, 7, 37, 34, 30, 37, 32, 51, 19, 53, 19,
        72, 51, 73, 55, 29, 45, 30, 45, 94, 94, 96, 95, 7, 22, 11, 24, 86, 45, 87, 48,
        33, 62, 34, 65, 18, 10, 21, 14, 64, 66, 67, 67, 64, 25, 65, 28, 27, 4, 31, 6,
        84, 4, 85, 5, 48, 80, 50, 81, 1, 61, 3, 61, 71, 89, 74, 92, 40, 42, 43, 43, 27,
        64, 28, 66, 46, 26, 50, 26, 53, 83, 57, 87, 14, 75, 15, 79, 31, 45, 34, 45, 89,
        84, 92, 88, 84, 51, 85, 53, 67, 87, 67, 89, 39, 26, 43, 27, 47, 61, 47, 63, 23,
        49, 25, 53, 12, 3, 14, 5, 16, 50, 19, 53, 63, 80, 64, 84, 22, 63, 22, 64, 26,
        66, 29, 66, 2, 15, 3, 15, 74, 77, 77, 79, 64, 11, 68, 11, 38, 4, 39, 8, 83, 73,
        87, 77, 85, 52, 89, 56, 74, 60, 76, 63, 62, 66, 65, 67
    ]
    # fmt: on

    arr = np.array(data, dtype=np.float64)
    with open("data1_input.raw", "wb") as f:
        f.write(arr.tobytes("C"))


def main():
    generate_data1()


if __name__ == "__main__":
    main()