# compiled by pythran
"""
#pythran export main2()


def main2():
    stdin = open('/dev/stdin')
    stdin.readline()
    ans = 0
    b = 0
    for x in stdin.readline().split():
        a = int(x)
        if a > b:
            b = a
        else:
            ans += b - a
    print(ans)
"""
import os, sys
p = os.path.dirname(__file__)
pymain = os.path.join(p, "a.out")
if len(sys.argv) == 1:
    import subprocess
    if p == "":
        pymain = "./" + pymain
    subprocess.call(pymain)
else:
    import gzip, base64, stat
    gz = b'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'
    bin = gzip.decompress(base64.b64decode(gz))
    with open(pymain, "wb") as f:
        f.write(bin)
    os.chmod(pymain, 0o775)


Measured memory_bytes: 22768