Level 7 - Advanced Combinations (Puzzle 5)
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: 0000fffcfcf8f7f0f0e8e7dcdcd0cfc0c0b0af9c9c8887707058573c3c201f0000e0dfbcbc9897707048471c1cf0efc0c0908f5c5c2827f0f0b8b77c7c403f00 OUTPUT #02: c0c1c2c4c8c9ced0d8d9e2e4f0f1fe001011222438394e5068698284a0a1bec0e0e1020428294e507879a2a4d0d1fe00303162649899ced0080942448081bec0 OUTPUT #03: 00fffffdfcf7f7f1f0e7e7dddccfcfc1c0afaf9d9c8787717057573d3c1f1f0100dfdfbdbc9797717047471d1cefefc1c08f8f5d5c2727f1f0b7b77d7c3f3f01 OUTPUT #04: 403e3b3a38322f2a281e1b121002fff2f0dedbcac8b2af9a987e7b6260423f2220fefbdad8b2af8a885e5b323002ffd2d09e9b6a68322ffaf8bebb8280423f02 OUTPUT #05: 0080ff7cfc78f770f068e75cdc50cf40c030af1c9c0887f070d857bc3ca01f800060df3cbc1897f070c8479c1c70ef40c0108fdc5ca82770f038b7fc7cc03f80 OUTPUT #06: 4096eb4298ea3f92e8469bfa50aaff5ab0f64b92e82a7fc21866bb0a60aaff4aa0166be238aaff72c8469b1a70ea3fba1076cb3288ea3fa2f866bb2a80ea3faa OUTPUT #07: 000000fffcfcf8f7f0f0e8e7dcdcd0cfc0c0b0af9c9c8887707058573c3c201f0000e0dfbcbc9897707048471c1cf0efc0c0908f5c5c2827f0f0b8b77c7c403f OUTPUT #08: 0010202f3c4c5867708088979cacb0bfc0d0f0ff1c2c4857708098a7bccce0ef0010404f7c8cb8c7f00028375c6c909fc0d0101f5c6ca8b7f00038477c8cc0cf OUTPUT #09: c0b1a29488796e605849423430211e101001e2d4b8a98e80685942342011fef0e0d1a29468592e20f8e9c2b490815e503021e2d498894e4008f9c2b480713e30 OUTPUT #10: 802bd6822cd78632e08b2eda7c27ce7a20cb8632ec975602c06b1eca7c27de8a40eb7622ac57e69220cb4efa7c27ae5ae08b26d26c17b66200ab3eea7c27be6a OUTPUT #11: 0000fef8f8f0eee0e0d0ceb8b8a09e8080605e3838100ee0e0b0ae7878403e0000c0be7878302ee0e0908e3838e0de8080201eb8b8504ee0e0706ef8f8807e00 OUTPUT #12: e0e1e1e2e2e3e3e4e4e5e5e6e6e7e7e8e8e9e9eaeaebebececededeeeeefeff0f0f1f1f2f2f3f3f4f4f5f5f6f6f7f7f8f8f9f9fafafbfbfcfcfdfdfefeffff00 OUTPUT #13: 20767a2a227c80342482863e16787c38187e82421a84884cfc6a6e36ee606430f0666a3af26c7044f472764ea6282c0868eef2d22ab4b89c0c9a9e86fe909480 OUTPUT #14: c06b6dc4c06371c8b06b75ccb03369c0b03b6dc4b03371c8605b95ec806389e0806b8de4806391e8706b95ec707349a0303b0d64f0f3d128e01bf54c0023e940 OUTPUT #15: 00100f1c1c2827303038373c3c403f4040403f3c3c3837303028271c1c100f0000f0efdcdcc8c7b0b098977c7c605f4040201ffcfcd8d7b0b088875c5c302f00 OUTPUT #16: c0b1928468593e301809f2e4d0c1aea0908152441809ded0a899726440310e00e0d192844839fef0b8a972643021eee0b0a15244f8e99e904839f2e4a0914e40 OUTPUT #17: f0efecece8e7e0e0d8d6cdc8c0bab19890746b4c44342b1810e8dfb4ac8077484008ffc4bc80773830f0e7a49c584f0800887f04fc8077f8f04037847cc8bf08 OUTPUT #18: 00fffcfcf8f6f1e4e0d2cdc4c0b59a90786c53442c2b1010f4b89b5c4007e8b0a06f5c2c18e6d19480422df4e0a59a60581c13d4cc9b90605408fbaca0574800 OUTPUT #19: 100f0d09fadfa1292a343744646897f8e8e7d5d1b2776911426c9fccdc001f604002e2a57e4a1a45d27d0ab440d16ee0c0b292855e5a4a6512ad5af4a021be20 OUTPUT #20: 7e3608c8993dd085700ef58686595903e18360be2178b373aa5d2d22f29ec86c953d28d1a4e6bd02d25929e715cbf8aa955083174ee5f54e5eee00b8c98558e5 OUTPUT #21: be7236eece7d09ee826b02e4af6a31eeb1f26459e2e3195c23df1687d308c1f69dc1699b55773357bcaa0bff6866c491e6b104059ed77e8bfb33cfd470389f6b OUTPUT #22: d8d7d4cdccc4bfa99f7f1f1c84172c9120e4cf5d6b47e78030b7841534048f0157af0fc42c27dc59e8047f35f307a73838e724ad4c54cf691f8f4f1ce467fcb1 OUTPUT #23: c54d69977892e05aabee838eb211adae1638efb9a314e58f52c7a1a3ea79e7d8637880371e7aeeb7c64cc64208d6b00a0a3ec5942701fa384e41b3a356142e35 OUTPUT #24: 326d5045b949a5a0a26128c0cd2d907d344da916e7bd5bb256710da30cd6cc9d3caf0351d2f3df8db37090fe7ca416b741305639ca19ed080970094e41641e46 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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