Level 3 - Intro to Multi-Byte (Puzzle 2)
Below is a puzzle involving 24 input buffers and their transformed outputs. Each buffer is exactly 64 bytes, shown in hex. Your task: Figure out the logic of the transformation used to go from the INPUT to the OUTPUT. Then, provide a Python function that, given any new 64-byte buffer, will produce the correct transformed output. Here are the 24 input (SRC) buffers in hex (one line per buffer): INPUT #01: 00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000 INPUT #02: ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff INPUT #03: 01000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000 INPUT #04: 02000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000 INPUT #05: 80000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000 INPUT #06: aa000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000 INPUT #07: 00ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff INPUT #08: f0ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff INPUT #09: 0fffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff INPUT #10: 55ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff INPUT #11: 000102030405060708090a0b0c0d0e0f101112131415161718191a1b1c1d1e1f202122232425262728292a2b2c2d2e2f303132333435363738393a3b3c3d3e3f INPUT #12: fffefdfcfbfaf9f8f7f6f5f4f3f2f1f0efeeedecebeae9e8e7e6e5e4e3e2e1e0dfdedddcdbdad9d8d7d6d5d4d3d2d1d0cfcecdcccbcac9c8c7c6c5c4c3c2c1c0 INPUT #13: aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55 INPUT #14: 55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa55aa INPUT #15: f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0 INPUT #16: 0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f0f INPUT #17: 01010101010101010202020202020202040404040404040408080808080808081010101010101010202020202020202040404040404040408080808080808080 INPUT #18: 01010101020202020202020203030303040404040505050508080808090909090101010102020202020202020303030304040404050505050808080809090909 INPUT #19: 0102040810204080010204081020408001020408102040800102040810204080fefdfbf7efdfbf7ffefdfbf7efdfbf7ffefdfbf7efdfbf7ffefdfbf7efdfbf7f INPUT #20: 48656c6c6f2c20576f726c64212048656c6c6f2c20576f726c64212048656c6c6f2c20576f726c64212048656c6c6f2c20576f726c64212048656c6c6f2c2057 INPUT #21: 4c6f72656d20697073756d20646f6c6f722073697420616d65742c20636f6e73656374657475722061646970697363696e6720656c69742c2073656420646f20 INPUT #22: 0101020305080d1522375990e97962db3d18556dc22ff12011314273b528dd05e2e7c9b07929a2cb6d38a5dd825fe140216182e36548adf5a29739d009d9e2bb INPUT #23: 789b34caf54f2e220acd941e71b88d5836866d0d858b63549e94be2cacc67f5b7ef28f2d9903959f63d3d893dce752779c84162917ec8ff1af4a6422d367e18d INPUT #24: c5d71484f8cf9bf4b76f47904730804b9e3225a9f133b5dea168f4e2851f072fcc00fcaa7ca62061717a48e52e29a3fa379a953faa6893e32ec5a27b945e605f And here are the corresponding transformed outputs (DST) in hex: OUTPUT #01: 000102030405060708090a0b0c0d0e0f101112131415161718191a1b1c1d1e1f202122232425262728292a2b2c2d2e2f303132333435363738393a3b3c3d3e3f OUTPUT #02: fffefdfcfbfaf9f8f7f6f5f4f3f2f1f0efeeedecebeae9e8e7e6e5e4e3e2e1e0dfdedddcdbdad9d8d7d6d5d4d3d2d1d0cfcecdcccbcac9c8c7c6c5c4c3c2c1c0 OUTPUT #03: 010102030405060708090a0b0c0d0e0f101112131415161718191a1b1c1d1e1f202122232425262728292a2b2c2d2e2f303132333435363738393a3b3c3d3e3f OUTPUT #04: 020102030405060708090a0b0c0d0e0f101112131415161718191a1b1c1d1e1f202122232425262728292a2b2c2d2e2f303132333435363738393a3b3c3d3e3f OUTPUT #05: 800102030405060708090a0b0c0d0e0f101112131415161718191a1b1c1d1e1f202122232425262728292a2b2c2d2e2f303132333435363738393a3b3c3d3e3f OUTPUT #06: aa0102030405060708090a0b0c0d0e0f101112131415161718191a1b1c1d1e1f202122232425262728292a2b2c2d2e2f303132333435363738393a3b3c3d3e3f OUTPUT #07: 00fefdfcfbfaf9f8f7f6f5f4f3f2f1f0efeeedecebeae9e8e7e6e5e4e3e2e1e0dfdedddcdbdad9d8d7d6d5d4d3d2d1d0cfcecdcccbcac9c8c7c6c5c4c3c2c1c0 OUTPUT #08: f0fefdfcfbfaf9f8f7f6f5f4f3f2f1f0efeeedecebeae9e8e7e6e5e4e3e2e1e0dfdedddcdbdad9d8d7d6d5d4d3d2d1d0cfcecdcccbcac9c8c7c6c5c4c3c2c1c0 OUTPUT #09: 0ffefdfcfbfaf9f8f7f6f5f4f3f2f1f0efeeedecebeae9e8e7e6e5e4e3e2e1e0dfdedddcdbdad9d8d7d6d5d4d3d2d1d0cfcecdcccbcac9c8c7c6c5c4c3c2c1c0 OUTPUT #10: 55fefdfcfbfaf9f8f7f6f5f4f3f2f1f0efeeedecebeae9e8e7e6e5e4e3e2e1e0dfdedddcdbdad9d8d7d6d5d4d3d2d1d0cfcecdcccbcac9c8c7c6c5c4c3c2c1c0 OUTPUT #11: 00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000 OUTPUT #12: ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff OUTPUT #13: aa54a856ae50ac52a25ca05ea658a45aba44b846be40bc42b24cb04eb648b44a8a7488768e708c72827c807e8678847a9a6498669e609c62926c906e9668946a OUTPUT #14: 55ab57a951af53ad5da35fa159a75ba545bb47b941bf43bd4db34fb149b74bb5758b7789718f738d7d837f8179877b85659b6799619f639d6d936f9169976b95 OUTPUT #15: f0f1f2f3f4f5f6f7f8f9fafbfcfdfeffe0e1e2e3e4e5e6e7e8e9eaebecedeeefd0d1d2d3d4d5d6d7d8d9dadbdcdddedfc0c1c2c3c4c5c6c7c8c9cacbcccdcecf OUTPUT #16: 0f0e0d0c0b0a090807060504030201001f1e1d1c1b1a191817161514131211102f2e2d2c2b2a292827262524232221203f3e3d3c3b3a39383736353433323130 OUTPUT #17: 01000302050407060a0b08090e0f0c0d14151617101112131011121314151617303132333435363708090a0b0c0d0e0f7071727374757677b8b9babbbcbdbebf OUTPUT #18: 01000302060704050a0b08090f0e0d0c1415161711101312101112131514171621202322262724252a2b28292f2e2d2c34353637313033323031323335343736 OUTPUT #19: 0103060b14254687090b0e031c2d4e8f1113161b04355697191b1e130c3d5e9fdedcd9d4cbfa9958d6d4d1dcc3f29150ceccc9c4dbea8948c6c4c1ccd3e28140 OUTPUT #20: 48646e6f6b292650677b666f2d2d466a7c7d7d3f34427965747d3b3b547872734f0d02744b574a430909624e4041410310665d4158511717705c565753111e68 OUTPUT #21: 4c6e706669256f777b7c672b686262606231617a6035777a7d6d363b7f72706c4542564650505407494d435b455e4d465e561256585c421b184a5f5f1c59511f OUTPUT #22: 01000000010d0b122a3e539be5746cd42d09477ed63ae73709285868a935c31ac2c6eb935d0c84ec45118ff6ae72cf6f1150b0d0517d9bc29aae03eb35e4dc84 OUTPUT #23: 789a36c9f14a282502c49e157db5835726977f1e919e7543868da437b0db61445ed3ad0ebd26b3b84bfaf2b8f0ca7c58acb5241a23d9b9c697735e19ef5adfb2 OUTPUT #24: c5d61687fcca9df3bf664d9b4b3d8e448e2337bae526a3c9b971eef999021930ec21de8958830646595362ce02048dd507aba70c9e5da5d416fc9840a8635e60 Instructions: - Return just your best possible approximation as a small python function that takes a 64 byte array as input, and returns the 64 byte array as output. - Remember, the transformation is the same for all 24 buffers. - The function will be scored by the number of buffers that are correctly transformed (as shown in the 24 outputs). - And it also will be tested on another set of 24 hidden input buffers not shown in the prompt. - Do not include anything else in your response, no introduction text or explanations. Example Output: def transform(data: bytes) -> bytes: # Transform logic return bytes
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def transform(data: bytes) -> bytes: # Your solution here return data
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