Upload proofs/88165.json with huggingface_hub

Browse files

Files changed (1) hide show

proofs/88165.json +1 -0

proofs/88165.json ADDED Viewed

	@@ -0,0 +1 @@

+ {"schema": 2, "epoch": 88165, "nonce": "57748fc049fe1adf", "hotkey": "5Ef97cY9zqtZvHbFnp5gZ7rGn66mixx2uFu6Ray9hpCgikW3", "source_hash": "d2c7512b2ffa38aed3964ccf417fdd2144039ddb6e5fbff5c92e1aa30f2a899a", "weights_hash": "3f36c7abea3e2e3904ee5debc6add6972381c948ec873309a9230fdcc8f756a3", "model_id": "injected", "total_cost_usd": 0.0020883, "n_calls": 6, "call_log_hash": "5758beaa8712febc2bc5413feae15a9be55d8cdb66946e661b0eb17bad73d95f", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 42.642, "tokens_in": 1779, "tokens_out": 3184, "results": [{"benchmark": "mmlu", "task_id": "mmlu-2027", "answer": "ANSWER: B", "cost_usd": 4.95e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "mmlu", "task_id": "mmlu-3395", "answer": "ANSWER: D", "cost_usd": 8.62e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "math", "task_id": "gsm8k-172", "answer": "Sally Thirtytwo is 8 years old.\n\nSally Four is the same age: 8 years old.\n\nGranny Red is twice Sally Four\u2019s age: 2 \u00d7 8 = 16 years old.\n\nSally Two is 3 years older than Granny Red: 16 + 3 = 19 years old.\n\nTotal age: 19 + 16 + 8 + 8 = 51.\n\n51", "cost_usd": 0.00011289999999999998, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "math", "task_id": "gsm8k-579", "answer": "The boy has 5 cards. \nHis brother has \\(5 - 3 = 2\\) cards. \nTogether, they have \\(5 + 2 = 7\\) cards.\n\n7", "cost_usd": 6.559999999999997e-05, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "code", "task_id": "lcb-abc392_b", "answer": "import sys\n\ndata = sys.stdin.buffer.read().split()\nn = int(data[0])\nm = int(data[1])\nseen = [False] * (n + 1)\n\nfor i in range(m):\n seen[int(data[2 + i])] = True\n\nmissing = [str(i) for i in range(1, n + 1) if not seen[i]]\nout = [str(len(missing)), \" \".join(missing)]\nsys.stdout.write(\"\\n\".join(out) + \"\\n\")\n", "cost_usd": 0.0001935, "chosen_rung": -1, "rungs_used": [], "distribution": []}, {"benchmark": "code", "task_id": "lcb-arc191_a", "answer": "import sys\n\ndata = sys.stdin.buffer.read().split()\nn = int(data[0])\nm = int(data[1])\ns = data[2].decode()\nt = data[3].decode()\n\ncnt = [0] * 10\nfor c in t[:-1]:\n cnt[ord(c) - 48] += 1\n\nregular_max = 9\nwhile regular_max > 0 and cnt[regular_max] == 0:\n regular_max -= 1\n\nmandatory = ord(t[-1]) - 48\nused_mandatory = False\nans = []\n\nfor i, ch in enumerate(s):\n x = ord(ch) - 48\n last = i == n - 1\n\n if last and not used_mandatory:\n ans.append(chr(48 + mandatory))\n used_mandatory = True\n continue\n\n if used_mandatory:\n if regular_max > x:\n ans.append(chr(48 + regular_max))\n cnt[regular_max] -= 1\n while regular_max > 0 and cnt[regular_max] == 0:\n regular_max -= 1\n else:\n ans.append(ch)\n continue\n\n if mandatory > x and mandatory >= regular_max:\n ans.append(chr(48 + mandatory))\n used_mandatory = True\n elif regular_max > x and regular_max >= mandatory:\n ans.append(chr(48 + regular_max))\n cnt[regular_max] -= 1\n while regular_max > 0 and cnt[regular_max] == 0:\n regular_max -= 1\n else:\n ans.append(ch)\n\nsys.stdout.write(''.join(ans))\n", "cost_usd": 0.0015806000000000001, "chosen_rung": -1, "rungs_used": [], "distribution": []}], "quote": {"measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "report_data": "44f46290d4c8544a8dce1e65b49162617e52612c3648b1766a5d3a31a5cc8e7e", "platform_sig": "tdx:BAACAIEAAAAAAAAAk5pyM/ecTKmUCg2zlX8GBwAAAAAAAAAAAAAAAAAAAAAAAAAADwEKAAAAAAAAAAAAAAAAAKtiVhoXOsvRjuUP83dQ20QYTGz16IbfdCR8xXXhY7BMNLnhg3R1fCNa/6YU1BJ/awAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAAAAADnAgYAAAAAAMHunBbjr8UGz+BCxbhGo2hSjzs3YY6vsnRpvBFM+RTpIiyRYYRw5/KyisNgloJwpQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAALcbCkiUFna6LXHzdEopJPJjSTsYGHeHhyJ/07bGqQE4ibxnEmBdr3OgeiSoiJ4EjQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAMSdIq/27bN8theN77BeDitRLCaWDm7nOx6jAzZaMd74B6sq1x5YdCNv7KLKVSxjB88NtfGONOLmmamLJW3z/GFAGfWh9bdkk+Kq3HfnW1vj07erP0CdVhnccCVdYMUURAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAN2bwo+uZ+9DxemYZ5pY7KsC4wQt+dWvoAU0pjhpSLGVS/THBGQdSiY6C6iXtRKhhkT0YpDUyFRKjc4eZbSRYmF+UmEsNkixdmpdOjGlzI5+AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADPEAAAAeKOky+qEHdIVxhxxMwxWRebCIsEGvQJFp9yeDONdjQUnIzNxg7Od/acMXai15dLvx+kFjqxKX79T2I5GOkc6ZvWLvJ1cf8BoboQvlsvIPy6cHbjMu8Yz4BRB6+O12UbZr2xy3210BskhQlt8x1NMxRGh8YJcluGSOeX+jop1F8GAEkQAAAKCv8bBv8ABgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAVAAAAAAAAAOcAAAAAAAAA5aOntdgwwpU7mFNMbFmjo0/cNOkz9/WJjwqFzwiEa8oAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAANyeKnxvlI8XR040p/xD7QMPfBVj8bq932NAyC4OVKjFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgAGAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAffAGRkSB7Y3DAhR3DmeaFV/SBwYWo083zzS69wh0BNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABkmhL6H3HYNe7eYpADLJQGKf9Bys0SbqkZFNAq/v+ri//EVkNF+JyYQYWZ2/QbGy5GvYNlRXTxPEeStLzBukVIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAUAYQ4AAC0tLS0tQkVHSU4gQ0VSVElGSUNBVEUtLS0tLQpNSUlFOGpDQ0JKZWdBd0lCQWdJVkFNK2VaM0lhNW5sTml3ZnRYMzVsVHNUd3dHTUtNQW9HQ0NxR1NNNDlCQU1DCk1IQXhJakFnQmdOVkJBTU1HVWx1ZEdWc0lGTkhXQ0JRUTBzZ1VHeGhkR1p2Y20wZ1EwRXhHakFZQmdOVkJBb00KRVVsdWRHVnNJRU52Y25CdmNtRjBhVzl1TVJRd0VnWURWUVFIREF0VFlXNTBZU0JEYkdGeVlURUxNQWtHQTFVRQpDQXdDUTBFeEN6QUpCZ05WQkFZVEFsVlRNQjRYRFRJMk1EZ3dNekUyTXpnMU9Gb1hEVE16TURnd016RTJNemcxCk9Gb3djREVpTUNBR0ExVUVBd3daU1c1MFpXd2dVMGRZSUZCRFN5QkRaWEowYVdacFkyRjBaVEVhTUJnR0ExVUUKQ2d3UlNXNTBaV3dnUTI5eWNHOXlZWFJwYjI0eEZEQVNCZ05WQkFjTUMxTmhiblJoSUVOc1lYSmhNUXN3Q1FZRApWUVFJREFKRFFURUxNQWtHQTFVRUJoTUNWVk13V1RBVEJnY3Foa2pPUFFJQkJnZ3Foa2pPUFFNQkJ3TkNBQVN6CkV3ams2eHY5R3prWHdMaWFndlNTZkpxVnVyOElrbEZlZ201YktISzhGVEhvVnZUMFpHRUladEx2QS9STnBjNGsKTU81NmxnVDZYblRFS3ZtVWFvYVBvNElERERDQ0F3Z3dId1lEVlIwakJCZ3dGb0FVbFc5ZHpiMGI0ZWxBU2NuVQo5RFBPQVZjTDNsUXdhd1lEVlIwZkJHUXdZakJnb0Y2Z1hJWmFhSFIwY0hNNkx5OWhjR2t1ZEhKMWMzUmxaSE5sCmNuWnBZMlZ6TG1sdWRHVnNMbU52YlM5elozZ3ZZMlZ5ZEdsbWFXTmhkR2x2Ymk5Mk5DOXdZMnRqY213L1kyRTkKY0d4aGRHWnZjbTBtWlc1amIyUnBibWM5WkdWeU1CMEdBMVVkRGdRV0JCVGYxQ1RUUlRwNWswa3JQSElsWm9PMgpldGNTMnpBT0JnTlZIUThCQWY4RUJBTUNCc0F3REFZRFZSMFRBUUgvQkFJd0FEQ0NBamtHQ1NxR1NJYjRUUUVOCkFRU0NBaW93Z2dJbU1CNEdDaXFHU0liNFRRRU5BUUVFRUQ3Si8yZEhuQ000aFlHY2VOODllUk13Z2dGakJnb3EKaGtpRytFMEJEUUVDTUlJQlV6QVFCZ3NxaGtpRytFMEJEUUVDQVFJQkNUQVFCZ3NxaGtpRytFMEJEUUVDQWdJQgpDVEFRQmdzcWhraUcrRTBCRFFFQ0F3SUJBakFRQmdzcWhraUcrRTBCRFFFQ0JBSUJBakFRQmdzcWhraUcrRTBCCkRRRUNCUUlCQkRBUUJnc3Foa2lHK0UwQkRRRUNCZ0lCQVRBUUJnc3Foa2lHK0UwQkRRRUNCd0lCQURBUUJnc3EKaGtpRytFMEJEUUVDQ0FJQkJqQVFCZ3NxaGtpRytFMEJEUUVDQ1FJQkFEQVFCZ3NxaGtpRytFMEJEUUVDQ2dJQgpBREFRQmdzcWhraUcrRTBCRFFFQ0N3SUJBREFRQmdzcWhraUcrRTBCRFFFQ0RBSUJBREFRQmdzcWhraUcrRTBCCkRRRUNEUUlCQURBUUJnc3Foa2lHK0UwQkRRRUNEZ0lCQURBUUJnc3Foa2lHK0UwQkRRRUNEd0lCQURBUUJnc3EKaGtpRytFMEJEUUVDRUFJQkFEQVFCZ3NxaGtpRytFMEJEUUVDRVFJQkN6QWZCZ3NxaGtpRytFMEJEUUVDRWdRUQpDUWtDQWdRQkFBWUFBQUFBQUFBQUFEQVFCZ29xaGtpRytFMEJEUUVEQkFJQUFEQVVCZ29xaGtpRytFMEJEUUVFCkJBWUFnRzhGQUFBd0R3WUtLb1pJaHZoTkFRMEJCUW9CQVRBZUJnb3Foa2lHK0UwQkRRRUdCQkF3UGFlMGcwSDQKa3ZZYk5TU3NDSDVuTUVRR0NpcUdTSWI0VFFFTkFRY3dOakFRQmdzcWhraUcrRTBCRFFFSEFRRUIvekFRQmdzcQpoa2lHK0UwQkRRRUhBZ0VCQURBUUJnc3Foa2lHK0UwQkRRRUhBd0VCL3pBS0JnZ3Foa2pPUFFRREFnTkpBREJHCkFpRUE1TTVBaVB5elpvZmppczJ0MlpoMGhEaWRjaklNK3JVOW5td29EbDNGL0pjQ0lRRFRWeHVHM3ltSnh5WlIKVytXa3BRZjNVZWdBRjdOQXlSZndoN1drUFA5Tk9BPT0KLS0tLS1FTkQgQ0VSVElGSUNBVEUtLS0tLQotLS0tLUJFR0lOIENFUlRJRklDQVRFLS0tLS0KTUlJQ2xqQ0NBajJnQXdJQkFnSVZBSlZ2WGMyOUcrSHBRRW5KMVBRenpnRlhDOTVVTUFvR0NDcUdTTTQ5QkFNQwpNR2d4R2pBWUJnTlZCQU1NRVVsdWRHVnNJRk5IV0NCU2IyOTBJRU5CTVJvd0dBWURWUVFLREJGSmJuUmxiQ0JECmIzSndiM0poZEdsdmJqRVVNQklHQTFVRUJ3d0xVMkZ1ZEdFZ1EyeGhjbUV4Q3pBSkJnTlZCQWdNQWtOQk1Rc3cKQ1FZRFZRUUdFd0pWVXpBZUZ3MHhPREExTWpFeE1EVXdNVEJhRncwek16QTFNakV4TURVd01UQmFNSEF4SWpBZwpCZ05WQkFNTUdVbHVkR1ZzSUZOSFdDQlFRMHNnVUd4aGRHWnZjbTBnUTBFeEdqQVlCZ05WQkFvTUVVbHVkR1ZzCklFTnZjbkJ2Y21GMGFXOXVNUlF3RWdZRFZRUUhEQXRUWVc1MFlTQkRiR0Z5WVRFTE1Ba0dBMVVFQ0F3Q1EwRXgKQ3pBSkJnTlZCQVlUQWxWVE1Ga3dFd1lIS29aSXpqMENBUVlJS29aSXpqMERBUWNEUWdBRU5TQi83dDIxbFhTTwoyQ3V6cHh3NzRlSkI3MkV5REdnVzVyWEN0eDJ0VlRMcTZoS2s2eitVaVJaQ25xUjdwc092Z3FGZVN4bG1UbEpsCmVUbWkyV1l6M3FPQnV6Q0J1REFmQmdOVkhTTUVHREFXZ0JRaVpReldXcDAwaWZPRHRKVlN2MUFiT1NjR3JEQlMKQmdOVkhSOEVTekJKTUVlZ1JhQkRoa0ZvZEhSd2N6b3ZMMk5sY25ScFptbGpZWFJsY3k1MGNuVnpkR1ZrYzJWeQpkbWxqWlhNdWFXNTBaV3d1WTI5dEwwbHVkR1ZzVTBkWVVtOXZkRU5CTG1SbGNqQWRCZ05WSFE0RUZnUVVsVzlkCnpiMGI0ZWxBU2NuVTlEUE9BVmNMM2xRd0RnWURWUjBQQVFIL0JBUURBZ0VHTUJJR0ExVWRFd0VCL3dRSU1BWUIKQWY4Q0FRQXdDZ1lJS29aSXpqMEVBd0lEUndBd1JBSWdYc1ZraTB3K2k2VllHVzNVRi8yMnVhWGUwWUpEajFVZQpuQStUakQxYWk1Y0NJQ1liMVNBbUQ1eGtmVFZwdm80VW95aVNZeHJEV0xtVVI0Q0k5Tkt5ZlBOKwotLS0tLUVORCBDRVJUSUZJQ0FURS0tLS0tCi0tLS0tQkVHSU4gQ0VSVElGSUNBVEUtLS0tLQpNSUlDanpDQ0FqU2dBd0lCQWdJVUltVU0xbHFkTkluemc3U1ZVcjlRR3prbkJxd3dDZ1lJS29aSXpqMEVBd0l3CmFERWFNQmdHQTFVRUF3d1JTVzUwWld3Z1UwZFlJRkp2YjNRZ1EwRXhHakFZQmdOVkJBb01FVWx1ZEdWc0lFTnYKY25CdmNtRjBhVzl1TVJRd0VnWURWUVFIREF0VFlXNTBZU0JEYkdGeVlURUxNQWtHQTFVRUNBd0NRMEV4Q3pBSgpCZ05WQkFZVEFsVlRNQjRYRFRFNE1EVXlNVEV3TkRVeE1Gb1hEVFE1TVRJek1USXpOVGsxT1Zvd2FERWFNQmdHCkExVUVBd3dSU1c1MFpXd2dVMGRZSUZKdmIzUWdRMEV4R2pBWUJnTlZCQW9NRVVsdWRHVnNJRU52Y25CdmNtRjAKYVc5dU1SUXdFZ1lEVlFRSERBdFRZVzUwWVNCRGJHRnlZVEVMTUFrR0ExVUVDQXdDUTBFeEN6QUpCZ05WQkFZVApBbFZUTUZrd0V3WUhLb1pJemowQ0FRWUlLb1pJemowREFRY0RRZ0FFQzZuRXdNRElZWk9qL2lQV3NDemFFS2k3CjFPaU9TTFJGaFdHamJuQlZKZlZua1k0dTNJamtEWVlMME14TzRtcXN5WWpsQmFsVFZZeEZQMnNKQks1emxLT0IKdXpDQnVEQWZCZ05WSFNNRUdEQVdnQlFpWlF6V1dwMDBpZk9EdEpWU3YxQWJPU2NHckRCU0JnTlZIUjhFU3pCSgpNRWVnUmFCRGhrRm9kSFJ3Y3pvdkwyTmxjblJwWm1sallYUmxjeTUwY25WemRHVmtjMlZ5ZG1salpYTXVhVzUwClpXd3VZMjl0TDBsdWRHVnNVMGRZVW05dmRFTkJMbVJsY2pBZEJnTlZIUTRFRmdRVUltVU0xbHFkTkluemc3U1YKVXI5UUd6a25CcXd3RGdZRFZSMFBBUUgvQkFRREFnRUdNQklHQTFVZEV3RUIvd1FJTUFZQkFmOENBUUV3Q2dZSQpLb1pJemowRUF3SURTUUF3UmdJaEFPVy81UWtSK1M5Q2lTRGNOb293THVQUkxzV0dmL1lpN0dTWDk0Qmd3VHdnCkFpRUE0SjBsckhvTXMrWG81by9zWDZPOVFXeEhSQXZaVUdPZFJRN2N2cVJYYXFJPQotLS0tLUVORCBDRVJUSUZJQ0FURS0tLS0tCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA="}}