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baveshraam/README.md
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠄⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠂⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠂⠀⠈⡄⠀⠀⠀⡔⠂⠀⠈⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣀⡀⠀⠀⠀⠀⠂⠀⠀⠐⠈⠀⠀⠄⠀⠀⠠⠴⠤⣴⣆⠴⣶⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠠⠐⠀⠀⠀⠀⠀⠀⢑⠖⢀⡀⠀⠀⠀⠀⠀⠉⠑⠋⠁⠲⢶⣶⠂⠰⠄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠐⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠠⠦⣀⢀⣁⣀⣤⡴⡿⣋⡴⣄⡠⠰⠖⡤⣄⣠⢀⡀⠀⡀⣠⣀⣀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡀⠀⡤⠄⠀⠀⠀⢀⠀⡀⠀⠀⠀⠈⠁⠀⠀⣀⣘⢀⣶⣶⢿⣛⠛⠋⠋⣉⠒⣂⠔⣭⢥⡙⠒⠀⡝⡷⢊⢋⠀⠌⡰⠓⣺⣻⡅⠀⡘⠉⠀⠄⠀⠀⠀⠄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠠⠀⠀⠀⠦⠌⠃⠀⠀⣄⠀⠀⠘⣟⠀⡂⠀⠈⣠⡤⡶⠛⢫⠜⢋⠀⠂⠦⠑⢀⢠⢨⠖⣠⣩⠦⡹⢴⢚⣂⡄⢉⠩⠐⠀⠐⠠⢁⠀⠀⠀⠀⠠⠜⠀⠀⣀⣰⠤⣐⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠉⠀⠀⠀⢀⡀⠁⣰⡀⠉⢿⠆⢀⣀⡠⣿⠝⣲⢛⠴⡲⣿⣷⣽⣼⡴⢦⣦⣤⣶⡴⣭⢏⡭⣐⢬⠰⢣⠬⣍⢣⠽⣙⣈⠀⠀⠄⠀⠀⢠⠀⠤⠁⠀⠀⡀⠀⠈⠘⠠⠀⢀⡀⠠⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠀⢀⣂⡨⠅⡤⡘⠄⠋⢐⠈⡐⣿⣿⣆⢠⠣⠌⣹⠶⢧⣻⢿⣿⠿⠬⡽⣿⣟⢿⣿⣯⣞⣶⣜⣀⡑⡫⢶⠌⠣⠎⠱⡌⢆⢃⠆⠁⠠⢃⡈⠠⢀⠈⠒⠠⠄⠒⠀⠀⠀⠀⠀⠀⠉⠒⠉⠐⢍⠤⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣶⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠠⠀⠀⠈⠁⠀⠀⢘⡘⠖⢾⣤⣼⡳⠈⠁⠀⢘⠻⢿⣷⠋⡐⠃⠀⣨⣅⢌⡓⣦⣩⢍⣶⣬⣽⣴⣿⣿⠿⢯⢷⢂⣁⡉⠐⠢⣒⣄⠘⠔⠪⢌⡘⠐⢢⠀⠄⢃⠢⠘⡀⠂⠄⠂⠄⠀⠀⠠⠀⠀⠀⠀⠀⠈⠀⠂⠁⠐⠂⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠉⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⣄⡀⠀⠀⠀⡄⢐⡐⢆⣔⡻⢿⣫⣌⠈⡁⠡⣹⣷⢨⡀⣶⣄⠀⣿⠿⡐⣷⣷⣿⣿⣿⡿⢛⣩⣶⣶⣿⣿⣿⣷⣶⣾⣽⣓⡢⠌⠁⠈⡀⢄⠈⢁⠂⠅⡊⠄⡁⠆⢡⢉⠠⠡⠌⡀⠒⡀⡀⠀⢀⠠⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠐⠑⠂⠄⠀⢀⣐⠾⠇⣙⣦⠹⣿⣿⠇⡀⣴⣿⢻⠁⢥⠀⢛⣚⠀⣧⡙⣽⣿⣿⣟⡟⣼⣿⣿⣿⡿⣹⣿⣿⣿⣽⣿⣻⣿⣿⣶⣆⡠⠀⠉⠓⣤⡔⠄⡀⠐⠀⠀⠂⠤⢁⠂⡐⢀⠂⠄⠀⠀⠀⠈⠈⠛⠰⠤⠀⠀⠀⠐⠀⠀⣡⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠠⠀⠘⠌⢨⢴⣮⡛⣧⣍⠖⣽⣾⣿⣷⢉⡣⢈⡈⢘⠻⣠⠁⣧⢻⣿⣿⣻⣃⣿⣿⣿⣰⣿⡿⢟⣛⣛⣻⠻⣿⣿⣿⣽⣿⣿⣟⣦⣐⠶⢴⣻⡴⠆⡀⠧⢉⠆⠠⠁⠄⢂⠐⠈⠠⠀⠀⠂⠀⠠⠀⠀⠀⠀⠀⠀⠀⠀⠀⠉⠉⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠠⠁⡀⠣⠱⣙⣌⢿⡆⣙⠾⣶⡽⣷⡹⡆⡨⣌⠳⣽⣟⢬⡂⢻⣿⣿⣘⣿⣿⣧⣾⣿⣰⣿⣿⣿⣿⣿⣷⣶⣮⡻⣿⣿⣿⣿⣿⣶⣦⣬⢶⡌⣅⣐⠃⢂⠤⢁⠌⠠⠈⠀⠐⠀⡁⠄⠉⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠐⠐⠀⢀⠀⠀⠀⠀⠀⠀
⠀⠀⢠⡀⠀⠀⠀⠀⠀⠀⠀⢀⠀⠀⠀⠀⠀⠣⠩⣭⣎⡻⣿⣾⣄⢽⣿⣷⣁⠀⡨⣝⠞⣿⡟⢻⣿⣿⣿⣿⡘⣿⣿⣿⢱⣿⣿⣿⣿⣭⣽⣻⢿⣿⣿⣶⣉⢻⣿⣛⢿⣿⣿⣷⣦⣬⡉⢙⠲⡀⠁⠠⠀⠀⠀⠀⠀⠄⠀⠂⢀⠠⠀⠀⠀⠁⠀⠠⠄⡀⠀⠄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠁⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠀⠀⠈⠳⠤⢽⣻⣮⢿⣻⢦⡑⢾⣿⣦⠙⠲⣶⣽⣿⣏⣿⣿⣾⣿⣿⡘⣿⣿⣜⣿⣿⠛⠛⠛⠛⠿⣷⣟⢻⣿⣿⣿⣾⣝⣻⣿⣻⣿⣿⣿⣟⢦⣉⠘⠝⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡄⠀⠀⠀⠀⠀⠀⢀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⢀⡀⠀⠀⠀⠀⠀⠀⢀⠀⠀⠂⡈⠀⠀⠓⠒⠒⢿⣯⠭⡳⠍⠀⠘⢻⣗⡂⠛⢿⣿⣿⡿⣿⣿⠾⣿⣿⣶⡙⣿⣿⡟⠀⠀⠀⠀⠀⠀⠈⠹⣿⣿⣿⣿⣿⣿⣷⣶⡹⢿⣿⣿⣷⣜⠷⣀⠙⢷⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⡀⠀⠀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠰⠀⢉⠈⡾⣀⣈⠹⢷⣆⠈⠀⢿⣿⣿⡀⠀⡉⢏⣿⣎⢿⣿⣶⣛⣿⣿⣶⣬⣝⡢⠀⠀⠀⠀⠀⠀⠀⠸⣿⣷⣦⣙⢿⣿⣟⣿⣿⣽⢻⣿⣿⣷⠉⣷⡀⠆⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⠀
⠀⠀⠀⠁⠒⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠠⠀⠂⠨⠙⠶⡩⣕⠦⢄⠰⣎⠀⠀⡉⠛⢿⣷⡄⢴⣌⣻⣷⣝⠿⣿⣶⣽⢻⣿⣿⣿⣷⣦⣄⣀⠀⠀⠀⣸⣿⣿⣿⣿⡜⢿⣿⣿⣿⣿⡹⣿⣿⣿⣷⡄⠐⣄⠙⠆⣢⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠠⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠴⠀⠀⠀⠀⠀⠂⠁⠀⠂⢀⠀⠄⠘⠲⢷⣇⠓⠠⢂⠻⡔⠦⠀⠙⢿⣷⣠⣙⠿⣿⣿⣿⣛⢿⢿⣿⣿⣾⣿⣾⣿⣿⣿⠿⣿⣿⣿⣿⣿⣿⣷⢹⣿⣿⣿⣿⣖⣿⣿⣻⣿⣧⠛⠤⠡⡈⠻⣿⣷⠀⠀⠀⠀⠀⠀⠀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⡀⡀⠀⠂⠀⡀⠀⠀⠀⠀⠀⠀⠂⠄⠠⠀⠹⡟⢞⢮⡀⢁⡀⢛⡰⢌⠋⠽⣿⣷⣝⣿⣿⣿⣿⣷⣶⣭⣙⣛⣛⣛⣫⣶⣾⣿⣿⣿⡇⣿⣿⣽⣷⢹⣿⡿⣿⡟⢻⣿⣿⣿⣿⠟⣨⠇⠁⠀⠈⢹⣷⣀⠀⠀⠀⠀⠀⠄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠐⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠐⢨⣁⠀⡀⠀⠁⠀⠀⠀⠀⠁⡀⠘⠂⠄⠽⠢⣒⣣⢉⢎⡂⠑⣀⡐⢿⠳⣾⣭⣛⣿⠿⣿⣿⣿⣿⣿⣿⣿⡿⢛⣛⣭⣾⣿⣿⣻⣿⢺⣿⡧⣿⣿⡾⣿⣾⣿⣿⣧⡹⡅⢓⠀⡀⠈⠿⢿⣆⡀⠀⠀⠤⢠⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠂⠀⠀⠀⠀⠀⠀⠀⠀⠀⠤⠀⡉⠂⣀⠀⠠⠀⠠⠀⠀⠀⠀⠀⠈⠠⡁⠔⢚⠩⠂⢀⠆⡁⠦⡙⠆⢢⣙⠷⣿⣿⣿⣶⣝⡻⢿⣷⣿⣾⣿⣿⣿⣿⣿⣿⣿⣿⡿⣸⣿⡧⣿⣿⣧⣿⣿⣼⣿⣝⣅⡈⠦⠁⠀⠐⠩⣌⣿⣷⠀⠀⠄⠁⡈⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠉⠃⠠⡄⢀⠀⠀⠀⠀⠀⠡⡐⠂⠈⠐⡈⠄⠂⡉⢖⡩⢓⡢⡑⢦⠈⠹⣿⣿⣛⣿⣷⣴⣬⣭⣭⣙⣛⣛⣛⣛⣹⣭⣴⣾⣿⢏⣾⣿⣿⣽⣿⣿⣿⡆⢍⢧⠳⣈⠐⠀⠀⠘⣿⡻⢵⡐⡤⠒⠀⠂⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠐⠀⠀⠀⠀⠙⠈⠀⠄⠀⠀⡀⠐⠀⠄⠀⠁⠀⠐⠂⠬⢐⡓⣂⣃⠐⢢⠄⣢⢉⠒⠾⠿⢽⣭⣭⣿⣿⣿⣿⣿⣿⢿⣿⣟⣻⢟⣛⣼⣿⣿⣿⢿⣿⣿⡋⠝⡘⡇⠀⠹⠀⣐⢂⠀⠸⣯⠐⡟⢔⢦⡀⠀⠀⠀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠁⣐⢢⡒⠀⠀⡀⠉⢐⡂⠀⡄⠈⠀⠀⠀⠀⠀⡁⡈⢀⠡⠀⠦⠍⢦⢚⡴⢏⢶⡲⠦⣉⡉⠩⠯⣝⣭⡮⠕⠻⡿⠿⠿⣿⣿⣿⣿⡻⢛⣵⡿⠍⢊⡼⠓⠁⠡⠀⠐⢠⠀⠈⠀⢴⣟⡳⠈⠀⠘⢺⣃⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠈⠀⠀⠈⢚⠰⠄⠀⢀⠀⠀⠀⠀⠀⠐⠀⡈⠀⠈⡉⢊⡉⢏⡝⣂⡥⡍⡝⡺⡊⢈⣣⠾⣫⡘⢳⣌⣁⣬⡌⡩⠤⠐⣈⠬⢕⡾⠁⠀⠀⠃⠀⠈⠍⠐⡒⠀⠀⢹⣶⡅⢿⢢⠢⠠⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠐⠐⢶⠖⡂⡉⠤⣴⡏⠀⠀⡀⠀⠀⠀⡀⠀⠀⠈⡉⣓⡻⣷⢿⣬⣡⡶⡴⣒⣘⠒⢶⣾⣿⠌⠛⣩⣅⢁⡐⡛⠉⠞⠁⠀⢀⡀⡴⠄⠀⠈⠀⠒⢄⡙⢽⣿⣿⡣⣤⡔⢆⡀⠀⡠⠀⠀⠀⡈⠀⡀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠐⠩⠉⠐⢫⡐⠿⣶⢓⣨⣄⢀⠡⡄⣂⠠⠠⡠⢹⠦⣒⢆⡶⣢⠍⡻⠓⡊⡠⠀⡡⠹⣄⠀⡀⢀⡄⠀⠂⠀⠂⠠⢀⡠⠐⠃⡠⢒⠀⠪⣜⣻⡟⠿⣿⡇⠑⡎⠐⠈⢁⠀⠀⠀⠀⠀⢐⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠁⠀⠈⠐⠙⣩⢏⣭⣶⢿⣦⡳⣔⣾⢏⣀⢚⡋⢀⠴⠖⣂⣅⢄⠎⣀⡠⣌⢉⠠⡤⣤⢀⢂⣄⢧⠐⢊⡁⡠⣤⣄⠂⠉⣀⣶⡇⢐⠬⡙⠂⠀⡐⡁⠀⠂⠀⠀⠀⠀⠀⠈⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⠃⠉⠠⠁⠻⠣⢙⡃⢾⢿⣿⣿⣿⣿⡿⠟⠋⠩⠄⢤⠂⠩⠘⠓⠈⠐⠁⠘⢏⠁⠀⠀⢠⠐⠦⣩⠴⠁⢾⠏⠌⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠀⠀⠀⠀⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠁⠀⠀⠈⠙⠀⠄⠀⠀⠀⠀⠄⠒⠫⠙⠃⠤⠠⠄⠁⠠⠁⠀⠀⠜⠈⠀⠈⠈⠻⠉⠀⠀⠘⠀⠠⠀⠀⠠⠈⠈⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠠⠆⠀⠀⠀⠀⠀⡀⠀⠀⠀⠀⠀⠀⠀⠲⠀⠂⠀⠁⠀⠀⠀⠀⠀⠀⠀⠐⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠃⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡠⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠠⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀

Bavesh Raam S

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Systems  ·  AI  ·  Infrastructure


Currently engineering at ResQBag — distributed production infrastructure. I build things that work at scale.


⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢨⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
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Technical Arsenal

Languages
AI / ML
Big Data
Web & Mobile
Databases
Cloud & DevOps
Embedded & IoT
Tooling & Visualization
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⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿
⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿

Selected Work

Agentic AI & Distributed Code Intelligence

Deployed a production-grade, fully self-hosted agentic AI platform for enterprise-scale repository restructuring at DRDO (Aeronautical Development Establishment). The system integrates centralized GPU-backed LLM serving with distributed semantic code intelligence — MCP service orchestration, Tree-sitter and Clang-based static analysis, vector retrieval, and air-gapped offline deployment. Designed for multi-user enterprise environments with zero external API dependencies.


Deep Learning & Computer Vision

Fine-tuned ResNet-FPN architectures on 43K SAR satellite images for real-time maritime vessel detection — 0.73 mAP on inshore scenes with adaptive model selection balancing accuracy and inference latency under 60ms on consumer hardware. Built ChronosAI, a multi-model time-series forecasting ensemble (LSTM, ARIMA, Prophet) with inverse-error weighted averaging — driving MAPE to 62% from individual baselines of 84% and 71%, with SHAP-driven behavioral feature importance. Developed VisualVerse, an end-to-end NLP pipeline transforming unstructured text into mind maps and comic-style visual narratives — Random Forest classification at 91% accuracy across 7,000 documents.


RAG & Knowledge Systems

Architected Open Notebook, a persistent RAG-based AI knowledge platform with chunked embedding storage and FAISS vector search — retrieval Hit@5 from 0.53 to 0.87, answer relevance from 3.1/5 to 4.4/5. Built a knowledge graph extraction layer over spaCy with custom relation extraction (precision 0.72, recall 0.68). Deployed with FastAPI orchestration, LangChain/LangGraph agents, WebSocket task execution, and Docker.


Big Data & Stream Processing

Engineered an end-to-end traffic congestion prediction system processing 46M+ GPS trip records with Apache Spark and Hadoop HDFS. Trained Gradient Boosted Trees — 79% test accuracy, 0.76 weighted F1 (+15 points over logistic regression baseline). Real-time Kafka + Spark Structured Streaming pipeline handling 1,000+ events/sec at 3-second latency. Storage optimization: 120GB raw CSV to 28GB Parquet with Snappy — 77% reduction.


Full-Stack Platforms

Built Doc-Patient Connect, a production telehealth platform (Next.js, Prisma, PostgreSQL, Vonage) with sub-2-second video connections, RBAC, and WebSocket live notifications — 99.9% uptime on Vercel. Developed a Honeypot Security Dashboard capturing 2,300+ malicious requests with TF-IDF + Random Forest classification at 89% accuracy across SQLi, XSS, command injection, and reconnaissance patterns. Architected Namma Vayal, an AI-powered agricultural marketplace with on-device TFLite inference (84% accuracy, 6MB, 120ms) and hybrid RAG search over 1,200+ documents — Finalist, Gen AI CBE Hackathon 2025.


Data Engineering & Analytics

Designed an enterprise data warehouse handling 10M+ rows with optimized star-schema structures delivering 40% faster analytical queries. Built automated ETL pipelines ingesting 2M+ records with time-series forecasting achieving 18% lower MAPE than moving-average baselines. Developed autonomous BI pipelines with statistical anomaly detection across 15+ KPIs — reducing manual analysis overhead by 80%.


Embedded Systems & Control

Built EV motor-control optimization workflows using physics-based models and GEKKO. Assembled a four-wheeled robotic vehicle with motion-control algorithms and pick-and-place automation — 92% success rate. Developed Arduino-based IoT healthcare monitoring with real-time sensor fusion and ML-driven disease prediction — 82% accuracy across multiple conditions.

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Runner-Up — Gen AI CBE Hackathon 2025  |  Finalist — Infosys Global Hackathon 2025


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⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡄⢸⢡⢠⣴⠟⠁⠀⠀⠀⠀⠒⠀⠀⣴⣷⡈⣿⣿⣿⣿⣿⣿⣿⣿⣿⣏⣴⣤⡀⠐⢃⡀⠀⠀⠀⠀⠀⠀⠀⠀⡀⠀⠀⠀⠙⠿⣻⣿⣿⣿⣿⣿⣿
⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣷⡈⣾⠘⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⢻⣿⣇⢼⣿⣿⣿⣿⣿⣿⣿⣿⠉⣿⣿⣿⣿⡟⠀⠀⠀⠀⠀⠀⠂⠀⠀⠄⡀⣱⣀⢨⣦⢻⣿⣿⣿⣿⣿⣿
⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣷⡈⠀⠀⠰⣄⠀⠀⠐⣀⠀⠀⠀⠈⣿⣿⣮⣿⣿⣿⣿⣿⣟⣛⠟⢁⣼⣿⣿⡿⠁⠀⠀⠀⠀⠀⠀⠀⠀⢀⠀⠀⣿⠟⢸⣋⣼⣿⣿⣿⣿⣿⣿
⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣷⣄⠳⠄⠙⠠⠀⠀⠀⠀⠀⠀⠠⠘⢿⣿⣿⣿⠿⠿⠿⠿⠿⢶⣿⣿⣿⡟⠁⠀⠀⠀⠀⠀⠀⠀⢀⠀⠀⡇⠀⡿⣡⣿⣿⣿⣿⣿⣿⣿⣿⣿
⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣦⣘⣃⡘⢩⡅⡄⠀⠀⠀⢸⣆⠈⠻⣿⣿⣿⣶⡀⠂⠀⣬⣽⡿⠋⠀⠀⠀⠀⠀⠀⠀⠀⠀⣾⡷⠀⢀⣰⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿
⠿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡼⣿⣶⣬⣵⡇⢀⢀⣸⣿⣦⠀⠈⠻⣿⣿⣿⣿⣿⡿⠋⠀⠀⠀⠀⣤⠀⠀⢀⡠⠀⠼⣋⣤⣶⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿
⠁⠐⠉⢛⠻⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠇⣿⣿⣿⣿⣿⣧⠀⠀⠈⠙⠛⠛⠉⢴⡀⢶⣤⡤⢬⡵⠃⢀⣼⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿
⡦⠀⠀⠈⠀⠒⢉⠛⠿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡟⢸⣿⣿⣿⣿⣿⣿⣷⡀⠀⠀⠀⢠⣃⣬⣙⣦⣽⣶⣭⣶⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿
⠀⠀⠎⠀⢀⠄⠉⠐⠃⠀⣍⡻⢿⣿⣿⣿⣿⢟⣍⠉⠙⢡⣿⣿⣿⣿⣿⣿⣿⣿⠣⠀⠀⠀⠸⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿
⣤⣀⠀⠀⠀⠀⠀⠄⠀⡀⠈⠀⠃⠨⠙⠿⣡⠟⠁⠀⠀⣼⣿⣿⣿⣿⣿⣿⣿⣿⡆⠀⠀⠁⠱⡈⠛⢿⣿⣿⠿⡟⣛⡛⣭⣉⣩⣭⣍⡉⠻⢿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣶
⣿⣿⣷⣦⣄⠀⠀⠀⠀⠃⠀⣠⠀⠀⠀⡔⠉⠀⠀⠀⠰⠊⣙⣟⠛⠻⢿⣿⣿⣿⣷⠀⠀⠀⠀⢹⣌⢄⠠⣄⡘⠻⠂⠍⠻⣿⣿⣿⣿⠋⠳⣤⣭⡙⢿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣶⣶
⣿⣿⣿⣿⣿⣿⣶⣄⡀⠀⠀⠀⠀⠖⠈⠀⠀⠀⣀⣤⠔⢛⣽⡟⠓⠈⠳⣶⣭⣭⣈⠂⠀⠀⢀⠀⢿⣾⣷⡘⠻⢷⣦⡠⠀⠘⢿⣿⣿⠀⡄⠙⡿⠹⢒⣬⣭⣍⢻⣿⣿⣿⣿⣿⣿⣶
⣿⣿⣿⣿⣿⣿⣿⣿⣿⣷⡦⢀⠀⠀⠀⠀⢰⡿⢋⣥⠞⢋⣼⡿⠿⣿⣶⣌⡛⢿⣿⣷⣄⠘⠛⠀⠈⣷⣹⣧⡔⢀⠙⢿⣦⡻⡄⠈⠻⠀⣿⠗⠀⣼⣿⠿⢋⠝⠸⠿⢿⣿⣿⣿⣿
⣿⣿⣿⣿⣿⣿⣿⡿⠋⣁⣤⣶⠀⠀⠀⠀⠂⠘⠛⢠⡾⠋⣉⣴⠿⠉⠻⢿⣿⣶⣬⣙⠿⣷⣦⣸⡄⠸⣿⣿⣷⠀⢀⠈⢻⣷⡱⠀⠀⠀⡟⠀⠀⠟⠁⣰⢟⣠⣤⣾⣇⠹⣿⣿⣿
⣿⣿⣿⣿⣿⣿⡿⢰⣾⣿⣿⣇⠀⠀⠀⠀⣀⠀⠀⠈⠇⠈⡍⠁⠀⠀⠀⠀⠹⣿⣿⣿⣷⣦⣉⠻⢿⡀⢻⣿⣿⡇⠀⢡⠀⠹⣇⠂⠀⠀⠁⠀⠀⢀⠊⢰⣿⡿⢋⣵⣿⡆⠈⠛⠿⣶
⣿⣿⣿⣿⣿⣿⠁⣿⣿⣿⣛⠿⠀⠀⠀⣴⣷⣤⣀⢀⠀⠀⠃⠀⠄⠀⠀⠀⠀⠈⠻⣿⣿⣿⣿⣿⣦⣅⡘⢿⣿⣿⡔⡈⠇⠀⡘⡆⠀⠀⠀⠀⠀⣠⠀⡾⣫⣴⠟⠉⠁⠐⠛⣠⠀
⣿⣿⣿⣿⣿⠇⢀⣿⣿⣿⣿⣦⡑⢄⠀⠈⢻⣿⢸⣿⣿⡀⠀⠀⠀⠈⠃⠀⡀⠀⠀⠀⠙⠿⣿⠟⢛⣿⣿⣷⣮⣝⠃⠃⠀⢀⠁⠰⣀⠀⠀⠀⠘⠀⠀⠚⠁⠀⢀⠤⠀⢀⣡⣴⣿⣶
⣿⣿⣿⣿⡏⠀⣿⣿⣿⣿⣿⣿⣿⠷⠱⡀⢀⢿⡆⠟⡘⣹⣦⣄⡀⣀⠀⠀⠀⠀⠀⠀⠀⠁⠠⠀⠈⠉⠻⣿⣿⣿⣿⣦⣄⠈⢇⠀⢻⡆⠀⠀⠀⠀⠀⠀⠀⠈⠐⠊⣉⣿⣿⣿⣿⣶
⣿⣿⣿⣿⠇⡄⢻⣿⣿⣿⣿⣿⣌⠂⠡⠹⣄⠈⠃⠀⣀⣿⣿⣿⣿⣿⣷⣦⣀⠀⠀⠀⠀⠀⠀⠈⠂⠀⠀⠈⠻⣿⣿⣿⣿⣿⣦⣄⡐⠿⠄⠀⠀⠀⠀⠄⢀⣠⣶⣿⣿⣿⣿⣿⣿⣶
⣿⣿⣿⠃⠞⠉⠀⠙⢿⣿⣿⣿⡉⢁⠀⠀⠘⡆⠈⠀⢸⣿⢿⢻⣿⣿⣿⣿⣿⣶⣄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠈⠻⢿⣿⣿⣿⣿⣿⡆⠀⠄⣀⠀⣀⣀⣑⡺⠤⠀⠀⢀⡀⠀⣶⣶
⣿⣿⣿⣆⠀⠀⠀⢀⢄⠹⢿⣿⣷⠹⡀⠀⠀⠘⠄⠀⢸⠇⡄⣿⣿⣿⣿⣿⣿⣿⣿⣿⣦⡀⠀⠀⠀⠀⠀⠀⠈⠀⢄⠀⠈⠻⣿⣿⣿⡇⠂⠑⣿⣆⠠⡈⠉⠛⠛⠛⠚⠿⠿⢿⣶
⣿⣿⣿⣿⡆⠑⠀⠠⡻⣿⣦⡀⠉⠁⠱⠀⠀⠀⠀⠀⠘⡀⠈⠀⡘⣽⣿⢋⣿⣿⣿⣿⣿⣿⣦⡀⠀⠀⠀⠀⠀⠀⠀⠁⣀⣤⡌⠛⢿⣿⡀⠀⠹⣿⠀⠙⣷⣶⣤⣄⡀⠀⠀⠀⠀
⣿⣿⣿⠏⠀⠀⠀⠁⠙⠿⣿⣿⣢⠄⠀⠀⠀⠀⠀⠀⠀⠀⠀⡘⣸⡿⣡⣾⣿⣿⣿⣿⣿⣿⣿⣿⠄⢠⣄⠀⠀⣠⣾⠿⠛⠉⠀⠀⠀⠙⠳⡀⠄⢯⠀⠀⠈⠛⠛⠛⠿⢷⣦⣄⡀
⣿⣿⡇⠀⠀⠀⠀⠀⠀⠀⠈⠙⢅⠀⠈⢄⠀⠀⠀⠀⠀⠀⠐⠑⠱⠚⣋⣭⣿⣿⣿⣿⣿⣿⣿⡟⠀⢸⡿⢃⣾⠏⠀⠀⠀⢀⣀⡀⠀⠀⠀⠀⠀⠈⢆⠀⠀⠢⡀⠀⠀⠀⠀⠙⠻
⣿⣿⣿⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠑⢄⠀⠀⠀⠰⠁⠀⠀⠀⠉⠛⢿⣿⣿⣿⣿⣿⣿⠁⠀⠘⣡⡾⠋⣀⣠⣴⡾⠟⠩⠿⢶⣄⠀⠀⠀⠀⠈⢢⠀⠀⠘⣄⠀⠀⠀⠀⠀

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