{"id": "python/single_target_baseline/0/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 0, "target_native_task_name": "largestDivisibleSubset:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-81, 87, 99, -84, 79, -13, -12, 61, 60, 90]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n list_1.sort()\n n = len(list_1)\n f = [1] * n\n k = 0\n for i in range(n):\n for j in range(i):\n if list_1[i] % list_1[j] == 0:\n f[i] = max(f[i], f[j] + 1)\n if f[k] < f[i]:\n k = i\n m = f[k]\n i = k\n ans = []\n while m:\n if list_1[k] % list_1[i] == 0 and f[i] == m:\n ans.append(list_1[i])\n (k, m) = (i, m - 1)\n i -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[60,-12]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":0,\"native_task_name\":\"largestDivisibleSubset:list\",\"output_value\":[60,-12]}]"} {"id": "python/single_target_baseline/0/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 0, "target_native_task_name": "largestDivisibleSubset:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [15, -2, 52, 59, -45, -26, -26, -17, -64, 26]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n list_1.sort()\n n = len(list_1)\n f = [1] * n\n k = 0\n for i in range(n):\n for j in range(i):\n if list_1[i] % list_1[j] == 0:\n f[i] = max(f[i], f[j] + 1)\n if f[k] < f[i]:\n k = i\n m = f[k]\n i = k\n ans = []\n while m:\n if list_1[k] % list_1[i] == 0 and f[i] == m:\n ans.append(list_1[i])\n (k, m) = (i, m - 1)\n i -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[52,26,-26,-26]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":0,\"native_task_name\":\"largestDivisibleSubset:list\",\"output_value\":[52,26,-26,-26]}]"} {"id": "python/single_target_baseline/0/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 0, "target_native_task_name": "largestDivisibleSubset:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [27, -51, -47, -37, 71, -3, -26, 63, -52, 72]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n list_1.sort()\n n = len(list_1)\n f = [1] * n\n k = 0\n for i in range(n):\n for j in range(i):\n if list_1[i] % list_1[j] == 0:\n f[i] = max(f[i], f[j] + 1)\n if f[k] < f[i]:\n k = i\n m = f[k]\n i = k\n ans = []\n while m:\n if list_1[k] % list_1[i] == 0 and f[i] == m:\n ans.append(list_1[i])\n (k, m) = (i, m - 1)\n i -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[27,-3]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":0,\"native_task_name\":\"largestDivisibleSubset:list\",\"output_value\":[27,-3]}]"} {"id": "python/single_target_baseline/0/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 0, "target_native_task_name": "largestDivisibleSubset:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-77, 29, 31, 50, 90, 68, -56, -30, -18, 28]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n list_1.sort()\n n = len(list_1)\n f = [1] * n\n k = 0\n for i in range(n):\n for j in range(i):\n if list_1[i] % list_1[j] == 0:\n f[i] = max(f[i], f[j] + 1)\n if f[k] < f[i]:\n k = i\n m = f[k]\n i = k\n ans = []\n while m:\n if list_1[k] % list_1[i] == 0 and f[i] == m:\n ans.append(list_1[i])\n (k, m) = (i, m - 1)\n i -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[90,-18]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":0,\"native_task_name\":\"largestDivisibleSubset:list\",\"output_value\":[90,-18]}]"} {"id": "python/single_target_baseline/0/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 0, "target_native_task_name": "largestDivisibleSubset:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-85, -73, -52, -14, -26, 35, 73, -18, 83, 4]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n list_1.sort()\n n = len(list_1)\n f = [1] * n\n k = 0\n for i in range(n):\n for j in range(i):\n if list_1[i] % list_1[j] == 0:\n f[i] = max(f[i], f[j] + 1)\n if f[k] < f[i]:\n k = i\n m = f[k]\n i = k\n ans = []\n while m:\n if list_1[k] % list_1[i] == 0 and f[i] == m:\n ans.append(list_1[i])\n (k, m) = (i, m - 1)\n i -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[73,-73]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":0,\"native_task_name\":\"largestDivisibleSubset:list\",\"output_value\":[73,-73]}]"} {"id": "python/single_target_baseline/0/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 0, "target_native_task_name": "largestDivisibleSubset:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-5, -62, -34, -98, -61, 71, -29, 50, 65, 45]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n list_1.sort()\n n = len(list_1)\n f = [1] * n\n k = 0\n for i in range(n):\n for j in range(i):\n if list_1[i] % list_1[j] == 0:\n f[i] = max(f[i], f[j] + 1)\n if f[k] < f[i]:\n k = i\n m = f[k]\n i = k\n ans = []\n while m:\n if list_1[k] % list_1[i] == 0 and f[i] == m:\n ans.append(list_1[i])\n (k, m) = (i, m - 1)\n i -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[45,-5]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":0,\"native_task_name\":\"largestDivisibleSubset:list\",\"output_value\":[45,-5]}]"} {"id": "python/single_target_baseline/0/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 0, "target_native_task_name": "largestDivisibleSubset:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [55, 25, -22, 50, 91, 86, 78, -4, 80, 68]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n list_1.sort()\n n = len(list_1)\n f = [1] * n\n k = 0\n for i in range(n):\n for j in range(i):\n if list_1[i] % list_1[j] == 0:\n f[i] = max(f[i], f[j] + 1)\n if f[k] < f[i]:\n k = i\n m = f[k]\n i = k\n ans = []\n while m:\n if list_1[k] % list_1[i] == 0 and f[i] == m:\n ans.append(list_1[i])\n (k, m) = (i, m - 1)\n i -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[50,25]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":0,\"native_task_name\":\"largestDivisibleSubset:list\",\"output_value\":[50,25]}]"} {"id": "python/single_target_baseline/0/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 0, "target_native_task_name": "largestDivisibleSubset:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-25, -88, 15, 90, 64, 34, 86, -36, 16, 63]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n list_1.sort()\n n = len(list_1)\n f = [1] * n\n k = 0\n for i in range(n):\n for j in range(i):\n if list_1[i] % list_1[j] == 0:\n f[i] = max(f[i], f[j] + 1)\n if f[k] < f[i]:\n k = i\n m = f[k]\n i = k\n ans = []\n while m:\n if list_1[k] % list_1[i] == 0 and f[i] == m:\n ans.append(list_1[i])\n (k, m) = (i, m - 1)\n i -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[64,16]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":0,\"native_task_name\":\"largestDivisibleSubset:list\",\"output_value\":[64,16]}]"} {"id": "python/single_target_baseline/0/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 0, "target_native_task_name": "largestDivisibleSubset:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [1, -12, -78, 34, 82, 10, -99, -32, -73, 83]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n list_1.sort()\n n = len(list_1)\n f = [1] * n\n k = 0\n for i in range(n):\n for j in range(i):\n if list_1[i] % list_1[j] == 0:\n f[i] = max(f[i], f[j] + 1)\n if f[k] < f[i]:\n k = i\n m = f[k]\n i = k\n ans = []\n while m:\n if list_1[k] % list_1[i] == 0 and f[i] == m:\n ans.append(list_1[i])\n (k, m) = (i, m - 1)\n i -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[10,1]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":0,\"native_task_name\":\"largestDivisibleSubset:list\",\"output_value\":[10,1]}]"} {"id": "python/single_target_baseline/0/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 0, "target_native_task_name": "largestDivisibleSubset:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-79, -95, -17, -48, -3, -88, 93, 14, -39, 20]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n list_1.sort()\n n = len(list_1)\n f = [1] * n\n k = 0\n for i in range(n):\n for j in range(i):\n if list_1[i] % list_1[j] == 0:\n f[i] = max(f[i], f[j] + 1)\n if f[k] < f[i]:\n k = i\n m = f[k]\n i = k\n ans = []\n while m:\n if list_1[k] % list_1[i] == 0 and f[i] == m:\n ans.append(list_1[i])\n (k, m) = (i, m - 1)\n i -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[93,-3]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":0,\"native_task_name\":\"largestDivisibleSubset:list\",\"output_value\":[93,-3]}]"} {"id": "python/single_target_baseline/0/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 0, "target_native_task_name": "largestDivisibleSubset:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [46, 38, -35, 79, 35, 19, -52, 56, -10, -9]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n list_1.sort()\n n = len(list_1)\n f = [1] * n\n k = 0\n for i in range(n):\n for j in range(i):\n if list_1[i] % list_1[j] == 0:\n f[i] = max(f[i], f[j] + 1)\n if f[k] < f[i]:\n k = i\n m = f[k]\n i = k\n ans = []\n while m:\n if list_1[k] % list_1[i] == 0 and f[i] == m:\n ans.append(list_1[i])\n (k, m) = (i, m - 1)\n i -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[35,-35]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":0,\"native_task_name\":\"largestDivisibleSubset:list\",\"output_value\":[35,-35]}]"} {"id": "python/single_target_baseline/0/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 0, "target_native_task_name": "largestDivisibleSubset:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [8, -50, -81, 28, -68, 30, -91, -10, 21, 31]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n list_1.sort()\n n = len(list_1)\n f = [1] * n\n k = 0\n for i in range(n):\n for j in range(i):\n if list_1[i] % list_1[j] == 0:\n f[i] = max(f[i], f[j] + 1)\n if f[k] < f[i]:\n k = i\n m = f[k]\n i = k\n ans = []\n while m:\n if list_1[k] % list_1[i] == 0 and f[i] == m:\n ans.append(list_1[i])\n (k, m) = (i, m - 1)\n i -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[30,-10]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":0,\"native_task_name\":\"largestDivisibleSubset:list\",\"output_value\":[30,-10]}]"} {"id": "python/single_target_baseline/0/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 0, "target_native_task_name": "largestDivisibleSubset:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [49, -21, 11, 2, -50, 88, -6, -66, -53, 22]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n list_1.sort()\n n = len(list_1)\n f = [1] * n\n k = 0\n for i in range(n):\n for j in range(i):\n if list_1[i] % list_1[j] == 0:\n f[i] = max(f[i], f[j] + 1)\n if f[k] < f[i]:\n k = i\n m = f[k]\n i = k\n ans = []\n while m:\n if list_1[k] % list_1[i] == 0 and f[i] == m:\n ans.append(list_1[i])\n (k, m) = (i, m - 1)\n i -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[88,22,11]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":0,\"native_task_name\":\"largestDivisibleSubset:list\",\"output_value\":[88,22,11]}]"} {"id": "python/single_target_baseline/0/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 0, "target_native_task_name": "largestDivisibleSubset:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [22, -25, -62, -69, 48, 28, -39, 8, -29, -41]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n list_1.sort()\n n = len(list_1)\n f = [1] * n\n k = 0\n for i in range(n):\n for j in range(i):\n if list_1[i] % list_1[j] == 0:\n f[i] = max(f[i], f[j] + 1)\n if f[k] < f[i]:\n k = i\n m = f[k]\n i = k\n ans = []\n while m:\n if list_1[k] % list_1[i] == 0 and f[i] == m:\n ans.append(list_1[i])\n (k, m) = (i, m - 1)\n i -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[48,8]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":0,\"native_task_name\":\"largestDivisibleSubset:list\",\"output_value\":[48,8]}]"} {"id": "python/single_target_baseline/0/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 0, "target_native_task_name": "largestDivisibleSubset:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [12, 66, -9, 16, 48, 92, 91, 81, -36, 58]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n list_1.sort()\n n = len(list_1)\n f = [1] * n\n k = 0\n for i in range(n):\n for j in range(i):\n if list_1[i] % list_1[j] == 0:\n f[i] = max(f[i], f[j] + 1)\n if f[k] < f[i]:\n k = i\n m = f[k]\n i = k\n ans = []\n while m:\n if list_1[k] % list_1[i] == 0 and f[i] == m:\n ans.append(list_1[i])\n (k, m) = (i, m - 1)\n i -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[48,16]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":0,\"native_task_name\":\"largestDivisibleSubset:list\",\"output_value\":[48,16]}]"} {"id": "python/single_target_baseline/0/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 0, "target_native_task_name": "largestDivisibleSubset:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [96, -6, 13, 25, 90, 89, 48, -45, 93, 68]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n list_1.sort()\n n = len(list_1)\n f = [1] * n\n k = 0\n for i in range(n):\n for j in range(i):\n if list_1[i] % list_1[j] == 0:\n f[i] = max(f[i], f[j] + 1)\n if f[k] < f[i]:\n k = i\n m = f[k]\n i = k\n ans = []\n while m:\n if list_1[k] % list_1[i] == 0 and f[i] == m:\n ans.append(list_1[i])\n (k, m) = (i, m - 1)\n i -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[96,48,-6]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":0,\"native_task_name\":\"largestDivisibleSubset:list\",\"output_value\":[96,48,-6]}]"} {"id": "python/single_target_baseline/1/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 1, "target_native_task_name": "longestWPI:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [44, 88, -57, 1, 88, 100, -20, -28, 23, -35]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = s = 0\n pos = {}\n for (i, x) in enumerate(list_1):\n s += 1 if x > 8 else -1\n if s > 0:\n ans = i + 1\n elif s - 1 in pos:\n ans = max(ans, i - pos[s - 1])\n if s not in pos:\n pos[s] = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":1,\"native_task_name\":\"longestWPI:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/1/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 1, "target_native_task_name": "longestWPI:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [63, -39, -71, -46, 54, -3, 63, 67, -82, 57]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = s = 0\n pos = {}\n for (i, x) in enumerate(list_1):\n s += 1 if x > 8 else -1\n if s > 0:\n ans = i + 1\n elif s - 1 in pos:\n ans = max(ans, i - pos[s - 1])\n if s not in pos:\n pos[s] = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":1,\"native_task_name\":\"longestWPI:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/1/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 1, "target_native_task_name": "longestWPI:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-89, 40, -13, 91, 19, 9, -23, 70, -20, -99]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = s = 0\n pos = {}\n for (i, x) in enumerate(list_1):\n s += 1 if x > 8 else -1\n if s > 0:\n ans = i + 1\n elif s - 1 in pos:\n ans = max(ans, i - pos[s - 1])\n if s not in pos:\n pos[s] = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":1,\"native_task_name\":\"longestWPI:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/1/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 1, "target_native_task_name": "longestWPI:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [9, 36, -28, 30, 45, 15, 24, -48, 20, 60]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = s = 0\n pos = {}\n for (i, x) in enumerate(list_1):\n s += 1 if x > 8 else -1\n if s > 0:\n ans = i + 1\n elif s - 1 in pos:\n ans = max(ans, i - pos[s - 1])\n if s not in pos:\n pos[s] = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":1,\"native_task_name\":\"longestWPI:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/1/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 1, "target_native_task_name": "longestWPI:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-3, -57, 22, -97, -21, 48, 57, -15, 4, -60]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = s = 0\n pos = {}\n for (i, x) in enumerate(list_1):\n s += 1 if x > 8 else -1\n if s > 0:\n ans = i + 1\n elif s - 1 in pos:\n ans = max(ans, i - pos[s - 1])\n if s not in pos:\n pos[s] = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":1,\"native_task_name\":\"longestWPI:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/1/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 1, "target_native_task_name": "longestWPI:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-11, 48, 22, -7, -20, 37, -37, -98, 82, -1]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = s = 0\n pos = {}\n for (i, x) in enumerate(list_1):\n s += 1 if x > 8 else -1\n if s > 0:\n ans = i + 1\n elif s - 1 in pos:\n ans = max(ans, i - pos[s - 1])\n if s not in pos:\n pos[s] = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":1,\"native_task_name\":\"longestWPI:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/1/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 1, "target_native_task_name": "longestWPI:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [99, -96, -28, -53, -61, 63, -61, 76, -96, -15]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = s = 0\n pos = {}\n for (i, x) in enumerate(list_1):\n s += 1 if x > 8 else -1\n if s > 0:\n ans = i + 1\n elif s - 1 in pos:\n ans = max(ans, i - pos[s - 1])\n if s not in pos:\n pos[s] = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":1,\"native_task_name\":\"longestWPI:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/1/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 1, "target_native_task_name": "longestWPI:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [53, 14, 93, -81, -81, -64, -27, 78, -94, 49]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = s = 0\n pos = {}\n for (i, x) in enumerate(list_1):\n s += 1 if x > 8 else -1\n if s > 0:\n ans = i + 1\n elif s - 1 in pos:\n ans = max(ans, i - pos[s - 1])\n if s not in pos:\n pos[s] = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":1,\"native_task_name\":\"longestWPI:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/1/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 1, "target_native_task_name": "longestWPI:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [16, -13, 66, 77, -56, 12, 55, 68, -97, 27]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = s = 0\n pos = {}\n for (i, x) in enumerate(list_1):\n s += 1 if x > 8 else -1\n if s > 0:\n ans = i + 1\n elif s - 1 in pos:\n ans = max(ans, i - pos[s - 1])\n if s not in pos:\n pos[s] = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":1,\"native_task_name\":\"longestWPI:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/1/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 1, "target_native_task_name": "longestWPI:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [54, 1, 44, 84, 88, -95, 68, 20, -62, 8]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = s = 0\n pos = {}\n for (i, x) in enumerate(list_1):\n s += 1 if x > 8 else -1\n if s > 0:\n ans = i + 1\n elif s - 1 in pos:\n ans = max(ans, i - pos[s - 1])\n if s not in pos:\n pos[s] = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":1,\"native_task_name\":\"longestWPI:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/1/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 1, "target_native_task_name": "longestWPI:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-7, -45, -5, -86, 47, 29, -95, 73, -27, 57]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = s = 0\n pos = {}\n for (i, x) in enumerate(list_1):\n s += 1 if x > 8 else -1\n if s > 0:\n ans = i + 1\n elif s - 1 in pos:\n ans = max(ans, i - pos[s - 1])\n if s not in pos:\n pos[s] = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":1,\"native_task_name\":\"longestWPI:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/1/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 1, "target_native_task_name": "longestWPI:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-17, 0, 58, 76, -86, 91, -36, 44, 82, 61]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = s = 0\n pos = {}\n for (i, x) in enumerate(list_1):\n s += 1 if x > 8 else -1\n if s > 0:\n ans = i + 1\n elif s - 1 in pos:\n ans = max(ans, i - pos[s - 1])\n if s not in pos:\n pos[s] = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":1,\"native_task_name\":\"longestWPI:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/1/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 1, "target_native_task_name": "longestWPI:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-79, 84, 13, -77, 77, 88, 70, 20, 37, 47]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = s = 0\n pos = {}\n for (i, x) in enumerate(list_1):\n s += 1 if x > 8 else -1\n if s > 0:\n ans = i + 1\n elif s - 1 in pos:\n ans = max(ans, i - pos[s - 1])\n if s not in pos:\n pos[s] = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":1,\"native_task_name\":\"longestWPI:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/1/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 1, "target_native_task_name": "longestWPI:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [67, 87, -47, 72, 15, -61, 10, -8, 25, -49]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = s = 0\n pos = {}\n for (i, x) in enumerate(list_1):\n s += 1 if x > 8 else -1\n if s > 0:\n ans = i + 1\n elif s - 1 in pos:\n ans = max(ans, i - pos[s - 1])\n if s not in pos:\n pos[s] = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":1,\"native_task_name\":\"longestWPI:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/1/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 1, "target_native_task_name": "longestWPI:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [76, -46, 28, -67, -5, -36, 65, 38, -59, 12]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = s = 0\n pos = {}\n for (i, x) in enumerate(list_1):\n s += 1 if x > 8 else -1\n if s > 0:\n ans = i + 1\n elif s - 1 in pos:\n ans = max(ans, i - pos[s - 1])\n if s not in pos:\n pos[s] = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":1,\"native_task_name\":\"longestWPI:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/1/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 1, "target_native_task_name": "longestWPI:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [31, -8, -74, -37, 58, 54, 50, -53, -61, 63]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = s = 0\n pos = {}\n for (i, x) in enumerate(list_1):\n s += 1 if x > 8 else -1\n if s > 0:\n ans = i + 1\n elif s - 1 in pos:\n ans = max(ans, i - pos[s - 1])\n if s not in pos:\n pos[s] = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":1,\"native_task_name\":\"longestWPI:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/2/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 2, "target_native_task_name": "latestTimeCatchTheBus:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-1, 95, 42, 84, -6, -75, -6, -66, 78, -6]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_passengers_static = [-46, 35, -71, -50, -56, -41, -27, 3, 31, 60].\nDefine task_1_capacity_static = 3.\nTrace the execution of task_1 with inputs passengers = task_1_passengers_static, capacity = task_1_capacity_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], passengers: List[int], capacity: int) -> int:\n list_1.sort()\n passengers.sort()\n j = 0\n for t in list_1:\n c = capacity\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = list_1[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "95", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":2,\"native_task_name\":\"latestTimeCatchTheBus:list\",\"output_value\":95}]"} {"id": "python/single_target_baseline/2/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 2, "target_native_task_name": "latestTimeCatchTheBus:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [81, 93, -21, 94, -98, -82, -63, 73, -38, 56]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_passengers_static = [55, -32, 29, -43, -83, 62, -3, 89, 89, 27].\nDefine task_1_capacity_static = 33.\nTrace the execution of task_1 with inputs passengers = task_1_passengers_static, capacity = task_1_capacity_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], passengers: List[int], capacity: int) -> int:\n list_1.sort()\n passengers.sort()\n j = 0\n for t in list_1:\n c = capacity\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = list_1[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "94", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":2,\"native_task_name\":\"latestTimeCatchTheBus:list\",\"output_value\":94}]"} {"id": "python/single_target_baseline/2/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 2, "target_native_task_name": "latestTimeCatchTheBus:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-15, -95, 72, -64, 67, -36, -23, 80, 71, 72]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_passengers_static = [-22, 100, -46, 52, 14, -67, 78, 4, 69, 0].\nDefine task_1_capacity_static = 83.\nTrace the execution of task_1 with inputs passengers = task_1_passengers_static, capacity = task_1_capacity_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], passengers: List[int], capacity: int) -> int:\n list_1.sort()\n passengers.sort()\n j = 0\n for t in list_1:\n c = capacity\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = list_1[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "80", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":2,\"native_task_name\":\"latestTimeCatchTheBus:list\",\"output_value\":80}]"} {"id": "python/single_target_baseline/2/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 2, "target_native_task_name": "latestTimeCatchTheBus:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-71, 23, -61, 98, 14, -16, -75, -59, 56, 34]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_passengers_static = [73, -1, 90, -5, 85, 34, -61, -56, 59, -37].\nDefine task_1_capacity_static = -89.\nTrace the execution of task_1 with inputs passengers = task_1_passengers_static, capacity = task_1_capacity_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], passengers: List[int], capacity: int) -> int:\n list_1.sort()\n passengers.sort()\n j = 0\n for t in list_1:\n c = capacity\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = list_1[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "98", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":2,\"native_task_name\":\"latestTimeCatchTheBus:list\",\"output_value\":98}]"} {"id": "python/single_target_baseline/2/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 2, "target_native_task_name": "latestTimeCatchTheBus:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-53, 69, 92, 11, 30, -85, 10, 81, -54, 4]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_passengers_static = [-45, -94, -11, 64, -14, -26, -78, 0, 25, 3].\nDefine task_1_capacity_static = 95.\nTrace the execution of task_1 with inputs passengers = task_1_passengers_static, capacity = task_1_capacity_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], passengers: List[int], capacity: int) -> int:\n list_1.sort()\n passengers.sort()\n j = 0\n for t in list_1:\n c = capacity\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = list_1[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "92", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":2,\"native_task_name\":\"latestTimeCatchTheBus:list\",\"output_value\":92}]"} {"id": "python/single_target_baseline/2/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 2, "target_native_task_name": "latestTimeCatchTheBus:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [30, -11, -58, -5, -5, 57, -17, -24, 46, -92]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_passengers_static = [54, -37, 99, -67, 95, -76, 44, 51, 35, 65].\nDefine task_1_capacity_static = -78.\nTrace the execution of task_1 with inputs passengers = task_1_passengers_static, capacity = task_1_capacity_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], passengers: List[int], capacity: int) -> int:\n list_1.sort()\n passengers.sort()\n j = 0\n for t in list_1:\n c = capacity\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = list_1[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "57", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":2,\"native_task_name\":\"latestTimeCatchTheBus:list\",\"output_value\":57}]"} {"id": "python/single_target_baseline/2/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 2, "target_native_task_name": "latestTimeCatchTheBus:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [43, -39, -79, -88, -14, -59, -14, 41, 90, -98]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_passengers_static = [-84, 20, 17, 72, -76, 93, -75, -56, -85, 69].\nDefine task_1_capacity_static = 39.\nTrace the execution of task_1 with inputs passengers = task_1_passengers_static, capacity = task_1_capacity_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], passengers: List[int], capacity: int) -> int:\n list_1.sort()\n passengers.sort()\n j = 0\n for t in list_1:\n c = capacity\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = list_1[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "90", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":2,\"native_task_name\":\"latestTimeCatchTheBus:list\",\"output_value\":90}]"} {"id": "python/single_target_baseline/2/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 2, "target_native_task_name": "latestTimeCatchTheBus:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-10, -70, -25, -44, -74, 2, 40, -84, -99, -64]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_passengers_static = [-57, -79, -16, 86, 94, -4, -96, 80, -79, -43].\nDefine task_1_capacity_static = 26.\nTrace the execution of task_1 with inputs passengers = task_1_passengers_static, capacity = task_1_capacity_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], passengers: List[int], capacity: int) -> int:\n list_1.sort()\n passengers.sort()\n j = 0\n for t in list_1:\n c = capacity\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = list_1[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "40", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":2,\"native_task_name\":\"latestTimeCatchTheBus:list\",\"output_value\":40}]"} {"id": "python/single_target_baseline/2/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 2, "target_native_task_name": "latestTimeCatchTheBus:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [45, -98, -31, -22, -49, 76, -57, -44, 59, -97]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_passengers_static = [-97, -42, -97, 41, 91, 65, 96, 64, -17, -70].\nDefine task_1_capacity_static = 3.\nTrace the execution of task_1 with inputs passengers = task_1_passengers_static, capacity = task_1_capacity_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], passengers: List[int], capacity: int) -> int:\n list_1.sort()\n passengers.sort()\n j = 0\n for t in list_1:\n c = capacity\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = list_1[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "76", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":2,\"native_task_name\":\"latestTimeCatchTheBus:list\",\"output_value\":76}]"} {"id": "python/single_target_baseline/2/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 2, "target_native_task_name": "latestTimeCatchTheBus:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [69, -93, -61, -69, 83, -50, 21, -88, 19, 27]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_passengers_static = [47, -28, -47, -52, -64, 52, 70, -24, -85, -19].\nDefine task_1_capacity_static = -81.\nTrace the execution of task_1 with inputs passengers = task_1_passengers_static, capacity = task_1_capacity_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], passengers: List[int], capacity: int) -> int:\n list_1.sort()\n passengers.sort()\n j = 0\n for t in list_1:\n c = capacity\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = list_1[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "83", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":2,\"native_task_name\":\"latestTimeCatchTheBus:list\",\"output_value\":83}]"} {"id": "python/single_target_baseline/2/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 2, "target_native_task_name": "latestTimeCatchTheBus:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-99, -71, -65, 93, -98, 90, -87, -17, 45, -59]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_passengers_static = [82, -64, 51, -87, -4, 17, -95, -4, 69, 9].\nDefine task_1_capacity_static = 49.\nTrace the execution of task_1 with inputs passengers = task_1_passengers_static, capacity = task_1_capacity_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], passengers: List[int], capacity: int) -> int:\n list_1.sort()\n passengers.sort()\n j = 0\n for t in list_1:\n c = capacity\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = list_1[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "93", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":2,\"native_task_name\":\"latestTimeCatchTheBus:list\",\"output_value\":93}]"} {"id": "python/single_target_baseline/2/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 2, "target_native_task_name": "latestTimeCatchTheBus:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-37, 79, 5, -48, 2, 28, -29, 59, 69, -39]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_passengers_static = [-9, 81, 49, 3, 18, 69, 8, -53, 13, -98].\nDefine task_1_capacity_static = -90.\nTrace the execution of task_1 with inputs passengers = task_1_passengers_static, capacity = task_1_capacity_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], passengers: List[int], capacity: int) -> int:\n list_1.sort()\n passengers.sort()\n j = 0\n for t in list_1:\n c = capacity\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = list_1[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "79", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":2,\"native_task_name\":\"latestTimeCatchTheBus:list\",\"output_value\":79}]"} {"id": "python/single_target_baseline/2/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 2, "target_native_task_name": "latestTimeCatchTheBus:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [44, 57, 32, -80, -73, 35, 62, -85, 19, -81]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_passengers_static = [-51, -48, -60, 7, -33, 86, -99, 28, 81, 11].\nDefine task_1_capacity_static = -99.\nTrace the execution of task_1 with inputs passengers = task_1_passengers_static, capacity = task_1_capacity_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], passengers: List[int], capacity: int) -> int:\n list_1.sort()\n passengers.sort()\n j = 0\n for t in list_1:\n c = capacity\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = list_1[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "62", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":2,\"native_task_name\":\"latestTimeCatchTheBus:list\",\"output_value\":62}]"} {"id": "python/single_target_baseline/2/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 2, "target_native_task_name": "latestTimeCatchTheBus:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [54, 91, 86, -77, -1, 65, -68, 30, 21, -90]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_passengers_static = [-18, 80, -47, 43, 97, 25, -79, 4, -31, -33].\nDefine task_1_capacity_static = 59.\nTrace the execution of task_1 with inputs passengers = task_1_passengers_static, capacity = task_1_capacity_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], passengers: List[int], capacity: int) -> int:\n list_1.sort()\n passengers.sort()\n j = 0\n for t in list_1:\n c = capacity\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = list_1[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "91", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":2,\"native_task_name\":\"latestTimeCatchTheBus:list\",\"output_value\":91}]"} {"id": "python/single_target_baseline/2/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 2, "target_native_task_name": "latestTimeCatchTheBus:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-94, 81, -28, -100, -30, -55, 2, -58, 68, -3]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_passengers_static = [38, 81, -77, 20, -55, 67, 41, 50, 10, -33].\nDefine task_1_capacity_static = -33.\nTrace the execution of task_1 with inputs passengers = task_1_passengers_static, capacity = task_1_capacity_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], passengers: List[int], capacity: int) -> int:\n list_1.sort()\n passengers.sort()\n j = 0\n for t in list_1:\n c = capacity\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = list_1[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "80", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":2,\"native_task_name\":\"latestTimeCatchTheBus:list\",\"output_value\":80}]"} {"id": "python/single_target_baseline/2/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 2, "target_native_task_name": "latestTimeCatchTheBus:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [100, -99, -61, 30, -34, 30, -52, 20, 1, -25]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_passengers_static = [41, -33, 32, -76, 3, -80, -84, -8, 99, -33].\nDefine task_1_capacity_static = 59.\nTrace the execution of task_1 with inputs passengers = task_1_passengers_static, capacity = task_1_capacity_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], passengers: List[int], capacity: int) -> int:\n list_1.sort()\n passengers.sort()\n j = 0\n for t in list_1:\n c = capacity\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = list_1[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "30", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":2,\"native_task_name\":\"latestTimeCatchTheBus:list\",\"output_value\":30}]"} {"id": "python/single_target_baseline/3/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 3, "target_native_task_name": "latestTimeCatchTheBus:scalar", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -2}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_buses_static = [59, 48, -62, 68, -71, -74, 63, 57, -4, -12].\nDefine task_1_passengers_static = [30, -80, -42, 44, 98, 94, -75, -90, -60, 85].\nTrace the execution of task_1 with inputs buses = task_1_buses_static, passengers = task_1_passengers_static.\n```python\nfrom typing import List\ndef task_1(buses: List[int], passengers: List[int], val_1: int) -> int:\n buses.sort()\n passengers.sort()\n j = 0\n for t in buses:\n c = val_1\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = buses[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "68", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":3,\"native_task_name\":\"latestTimeCatchTheBus:scalar\",\"output_value\":68}]"} {"id": "python/single_target_baseline/3/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 3, "target_native_task_name": "latestTimeCatchTheBus:scalar", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 66}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_buses_static = [-17, 100, -63, -84, 74, -76, 82, -68, 12, -7].\nDefine task_1_passengers_static = [-20, 14, 76, 59, 48, -91, -9, 45, 77, 18].\nTrace the execution of task_1 with inputs buses = task_1_buses_static, passengers = task_1_passengers_static.\n```python\nfrom typing import List\ndef task_1(buses: List[int], passengers: List[int], val_1: int) -> int:\n buses.sort()\n passengers.sort()\n j = 0\n for t in buses:\n c = val_1\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = buses[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "100", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":3,\"native_task_name\":\"latestTimeCatchTheBus:scalar\",\"output_value\":100}]"} {"id": "python/single_target_baseline/3/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 3, "target_native_task_name": "latestTimeCatchTheBus:scalar", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -22}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_buses_static = [55, 33, 68, 90, -6, 71, -80, 77, -73, -98].\nDefine task_1_passengers_static = [-25, 39, 49, 61, -73, -24, 66, -39, -23, -56].\nTrace the execution of task_1 with inputs buses = task_1_buses_static, passengers = task_1_passengers_static.\n```python\nfrom typing import List\ndef task_1(buses: List[int], passengers: List[int], val_1: int) -> int:\n buses.sort()\n passengers.sort()\n j = 0\n for t in buses:\n c = val_1\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = buses[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "90", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":3,\"native_task_name\":\"latestTimeCatchTheBus:scalar\",\"output_value\":90}]"} {"id": "python/single_target_baseline/3/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 3, "target_native_task_name": "latestTimeCatchTheBus:scalar", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -93}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_buses_static = [0, 16, -86, 38, 72, -36, 31, 90, -14, 37].\nDefine task_1_passengers_static = [83, -89, 32, -10, -53, 87, -98, -65, 5, 27].\nTrace the execution of task_1 with inputs buses = task_1_buses_static, passengers = task_1_passengers_static.\n```python\nfrom typing import List\ndef task_1(buses: List[int], passengers: List[int], val_1: int) -> int:\n buses.sort()\n passengers.sort()\n j = 0\n for t in buses:\n c = val_1\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = buses[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "90", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":3,\"native_task_name\":\"latestTimeCatchTheBus:scalar\",\"output_value\":90}]"} {"id": "python/single_target_baseline/3/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 3, "target_native_task_name": "latestTimeCatchTheBus:scalar", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -40}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_buses_static = [-34, -99, 17, -97, 49, -44, -47, 42, -50, 8].\nDefine task_1_passengers_static = [-14, 100, -2, 86, 19, -71, 75, 80, 95, 6].\nTrace the execution of task_1 with inputs buses = task_1_buses_static, passengers = task_1_passengers_static.\n```python\nfrom typing import List\ndef task_1(buses: List[int], passengers: List[int], val_1: int) -> int:\n buses.sort()\n passengers.sort()\n j = 0\n for t in buses:\n c = val_1\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = buses[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "49", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":3,\"native_task_name\":\"latestTimeCatchTheBus:scalar\",\"output_value\":49}]"} {"id": "python/single_target_baseline/3/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 3, "target_native_task_name": "latestTimeCatchTheBus:scalar", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 86}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_buses_static = [-65, -77, 5, 2, -10, 77, -56, -67, 39, 5].\nDefine task_1_passengers_static = [-26, 95, 96, 11, 77, -3, -20, 58, 21, -40].\nTrace the execution of task_1 with inputs buses = task_1_buses_static, passengers = task_1_passengers_static.\n```python\nfrom typing import List\ndef task_1(buses: List[int], passengers: List[int], val_1: int) -> int:\n buses.sort()\n passengers.sort()\n j = 0\n for t in buses:\n c = val_1\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = buses[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "76", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":3,\"native_task_name\":\"latestTimeCatchTheBus:scalar\",\"output_value\":76}]"} {"id": "python/single_target_baseline/3/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 3, "target_native_task_name": "latestTimeCatchTheBus:scalar", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -93}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_buses_static = [-97, -23, -8, 62, 29, -39, -73, 78, 55, -46].\nDefine task_1_passengers_static = [15, 61, -15, 8, -57, -100, -3, -72, -94, -4].\nTrace the execution of task_1 with inputs buses = task_1_buses_static, passengers = task_1_passengers_static.\n```python\nfrom typing import List\ndef task_1(buses: List[int], passengers: List[int], val_1: int) -> int:\n buses.sort()\n passengers.sort()\n j = 0\n for t in buses:\n c = val_1\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = buses[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "78", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":3,\"native_task_name\":\"latestTimeCatchTheBus:scalar\",\"output_value\":78}]"} {"id": "python/single_target_baseline/3/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 3, "target_native_task_name": "latestTimeCatchTheBus:scalar", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 28}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_buses_static = [-26, -21, -88, 8, -57, 82, -91, 69, 81, -68].\nDefine task_1_passengers_static = [100, -57, -79, -48, 19, -57, -50, 56, -11, 31].\nTrace the execution of task_1 with inputs buses = task_1_buses_static, passengers = task_1_passengers_static.\n```python\nfrom typing import List\ndef task_1(buses: List[int], passengers: List[int], val_1: int) -> int:\n buses.sort()\n passengers.sort()\n j = 0\n for t in buses:\n c = val_1\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = buses[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "82", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":3,\"native_task_name\":\"latestTimeCatchTheBus:scalar\",\"output_value\":82}]"} {"id": "python/single_target_baseline/3/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 3, "target_native_task_name": "latestTimeCatchTheBus:scalar", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -62}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_buses_static = [-96, -42, -73, -18, 27, 31, 30, -73, 63, 68].\nDefine task_1_passengers_static = [92, -82, 70, 59, -77, -43, -74, 40, -45, 88].\nTrace the execution of task_1 with inputs buses = task_1_buses_static, passengers = task_1_passengers_static.\n```python\nfrom typing import List\ndef task_1(buses: List[int], passengers: List[int], val_1: int) -> int:\n buses.sort()\n passengers.sort()\n j = 0\n for t in buses:\n c = val_1\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = buses[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "68", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":3,\"native_task_name\":\"latestTimeCatchTheBus:scalar\",\"output_value\":68}]"} {"id": "python/single_target_baseline/3/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 3, "target_native_task_name": "latestTimeCatchTheBus:scalar", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -94}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_buses_static = [-49, -72, 35, -9, 37, 61, -14, -53, 7, -24].\nDefine task_1_passengers_static = [-65, -86, -31, 17, -37, 9, -11, 70, -11, -61].\nTrace the execution of task_1 with inputs buses = task_1_buses_static, passengers = task_1_passengers_static.\n```python\nfrom typing import List\ndef task_1(buses: List[int], passengers: List[int], val_1: int) -> int:\n buses.sort()\n passengers.sort()\n j = 0\n for t in buses:\n c = val_1\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = buses[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "61", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":3,\"native_task_name\":\"latestTimeCatchTheBus:scalar\",\"output_value\":61}]"} {"id": "python/single_target_baseline/3/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 3, "target_native_task_name": "latestTimeCatchTheBus:scalar", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 26}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_buses_static = [43, 56, 92, 32, -57, -9, 85, 63, -98, -60].\nDefine task_1_passengers_static = [-43, 12, -31, 26, -17, 47, 55, -45, -20, -8].\nTrace the execution of task_1 with inputs buses = task_1_buses_static, passengers = task_1_passengers_static.\n```python\nfrom typing import List\ndef task_1(buses: List[int], passengers: List[int], val_1: int) -> int:\n buses.sort()\n passengers.sort()\n j = 0\n for t in buses:\n c = val_1\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = buses[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "92", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":3,\"native_task_name\":\"latestTimeCatchTheBus:scalar\",\"output_value\":92}]"} {"id": "python/single_target_baseline/3/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 3, "target_native_task_name": "latestTimeCatchTheBus:scalar", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 63}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_buses_static = [28, -28, -72, 78, 85, -1, 47, 63, 29, 36].\nDefine task_1_passengers_static = [-62, -98, 99, 98, -52, 3, 19, -12, 49, -12].\nTrace the execution of task_1 with inputs buses = task_1_buses_static, passengers = task_1_passengers_static.\n```python\nfrom typing import List\ndef task_1(buses: List[int], passengers: List[int], val_1: int) -> int:\n buses.sort()\n passengers.sort()\n j = 0\n for t in buses:\n c = val_1\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = buses[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "85", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":3,\"native_task_name\":\"latestTimeCatchTheBus:scalar\",\"output_value\":85}]"} {"id": "python/single_target_baseline/3/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 3, "target_native_task_name": "latestTimeCatchTheBus:scalar", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -88}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_buses_static = [-65, -31, 74, -29, 67, 7, -100, 86, -84, -24].\nDefine task_1_passengers_static = [-51, 29, 79, -82, 59, 6, -2, 46, 77, 11].\nTrace the execution of task_1 with inputs buses = task_1_buses_static, passengers = task_1_passengers_static.\n```python\nfrom typing import List\ndef task_1(buses: List[int], passengers: List[int], val_1: int) -> int:\n buses.sort()\n passengers.sort()\n j = 0\n for t in buses:\n c = val_1\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = buses[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "86", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":3,\"native_task_name\":\"latestTimeCatchTheBus:scalar\",\"output_value\":86}]"} {"id": "python/single_target_baseline/3/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 3, "target_native_task_name": "latestTimeCatchTheBus:scalar", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 48}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_buses_static = [57, 8, -76, -69, -88, 24, 40, -97, 44, 9].\nDefine task_1_passengers_static = [87, -1, -43, 40, 69, 56, -1, -83, -7, -84].\nTrace the execution of task_1 with inputs buses = task_1_buses_static, passengers = task_1_passengers_static.\n```python\nfrom typing import List\ndef task_1(buses: List[int], passengers: List[int], val_1: int) -> int:\n buses.sort()\n passengers.sort()\n j = 0\n for t in buses:\n c = val_1\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = buses[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "57", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":3,\"native_task_name\":\"latestTimeCatchTheBus:scalar\",\"output_value\":57}]"} {"id": "python/single_target_baseline/3/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 3, "target_native_task_name": "latestTimeCatchTheBus:scalar", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -69}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_buses_static = [-88, -4, 62, 49, 69, -65, 50, 5, 62, -98].\nDefine task_1_passengers_static = [-3, -64, 19, -95, 38, 0, 5, 50, 59, 80].\nTrace the execution of task_1 with inputs buses = task_1_buses_static, passengers = task_1_passengers_static.\n```python\nfrom typing import List\ndef task_1(buses: List[int], passengers: List[int], val_1: int) -> int:\n buses.sort()\n passengers.sort()\n j = 0\n for t in buses:\n c = val_1\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = buses[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "69", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":3,\"native_task_name\":\"latestTimeCatchTheBus:scalar\",\"output_value\":69}]"} {"id": "python/single_target_baseline/3/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 3, "target_native_task_name": "latestTimeCatchTheBus:scalar", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -56}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_buses_static = [-31, 85, -54, -30, 99, 7, -4, -94, -76, 64].\nDefine task_1_passengers_static = [-7, -88, -58, 74, 38, -27, -34, 17, -24, -97].\nTrace the execution of task_1 with inputs buses = task_1_buses_static, passengers = task_1_passengers_static.\n```python\nfrom typing import List\ndef task_1(buses: List[int], passengers: List[int], val_1: int) -> int:\n buses.sort()\n passengers.sort()\n j = 0\n for t in buses:\n c = val_1\n while c and j < len(passengers) and (passengers[j] <= t):\n (c, j) = (c - 1, j + 1)\n j -= 1\n ans = buses[-1] if c else passengers[j]\n while ~j and passengers[j] == ans:\n (ans, j) = (ans - 1, j - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "99", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":3,\"native_task_name\":\"latestTimeCatchTheBus:scalar\",\"output_value\":99}]"} {"id": "python/single_target_baseline/4/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 4, "target_native_task_name": "findMin:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [67, 15, -47, -40, 65, -14, -76, -30, -73, -47]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[mid] > list_1[right]:\n left = mid + 1\n elif list_1[mid] < list_1[right]:\n right = mid\n else:\n right -= 1\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-73", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":4,\"native_task_name\":\"findMin:list\",\"output_value\":-73}]"} {"id": "python/single_target_baseline/4/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 4, "target_native_task_name": "findMin:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-86, -67, 49, -65, -73, 39, 4, -71, 95, 7]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[mid] > list_1[right]:\n left = mid + 1\n elif list_1[mid] < list_1[right]:\n right = mid\n else:\n right -= 1\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-73", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":4,\"native_task_name\":\"findMin:list\",\"output_value\":-73}]"} {"id": "python/single_target_baseline/4/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 4, "target_native_task_name": "findMin:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-99, -78, 61, 69, -79, 100, 97, -16, 12, -51]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[mid] > list_1[right]:\n left = mid + 1\n elif list_1[mid] < list_1[right]:\n right = mid\n else:\n right -= 1\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-79", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":4,\"native_task_name\":\"findMin:list\",\"output_value\":-79}]"} {"id": "python/single_target_baseline/4/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 4, "target_native_task_name": "findMin:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [7, -72, 93, 83, -4, -59, 47, -10, -42, -23]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[mid] > list_1[right]:\n left = mid + 1\n elif list_1[mid] < list_1[right]:\n right = mid\n else:\n right -= 1\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-42", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":4,\"native_task_name\":\"findMin:list\",\"output_value\":-42}]"} {"id": "python/single_target_baseline/4/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 4, "target_native_task_name": "findMin:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-73, 20, -75, 87, -52, 11, -83, 69, 12, 0]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[mid] > list_1[right]:\n left = mid + 1\n elif list_1[mid] < list_1[right]:\n right = mid\n else:\n right -= 1\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-75", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":4,\"native_task_name\":\"findMin:list\",\"output_value\":-75}]"} {"id": "python/single_target_baseline/4/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 4, "target_native_task_name": "findMin:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [36, -86, 5, 91, 28, -64, -64, -48, -19, -17]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[mid] > list_1[right]:\n left = mid + 1\n elif list_1[mid] < list_1[right]:\n right = mid\n else:\n right -= 1\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-64", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":4,\"native_task_name\":\"findMin:list\",\"output_value\":-64}]"} {"id": "python/single_target_baseline/4/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 4, "target_native_task_name": "findMin:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [46, -50, -43, 26, 22, 51, 24, -49, 4, 36]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[mid] > list_1[right]:\n left = mid + 1\n elif list_1[mid] < list_1[right]:\n right = mid\n else:\n right -= 1\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-50", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":4,\"native_task_name\":\"findMin:list\",\"output_value\":-50}]"} {"id": "python/single_target_baseline/4/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 4, "target_native_task_name": "findMin:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [54, 8, -14, -72, -35, -20, -80, -3, -54, -78]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[mid] > list_1[right]:\n left = mid + 1\n elif list_1[mid] < list_1[right]:\n right = mid\n else:\n right -= 1\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-78", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":4,\"native_task_name\":\"findMin:list\",\"output_value\":-78}]"} {"id": "python/single_target_baseline/4/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 4, "target_native_task_name": "findMin:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-83, 13, 23, 47, 46, -22, 85, -5, -55, 59]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[mid] > list_1[right]:\n left = mid + 1\n elif list_1[mid] < list_1[right]:\n right = mid\n else:\n right -= 1\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-83", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":4,\"native_task_name\":\"findMin:list\",\"output_value\":-83}]"} {"id": "python/single_target_baseline/4/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 4, "target_native_task_name": "findMin:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-17, -89, -84, -63, -14, -57, -4, -56, 94, -63]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[mid] > list_1[right]:\n left = mid + 1\n elif list_1[mid] < list_1[right]:\n right = mid\n else:\n right -= 1\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-63", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":4,\"native_task_name\":\"findMin:list\",\"output_value\":-63}]"} {"id": "python/single_target_baseline/4/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 4, "target_native_task_name": "findMin:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [41, 44, 73, 55, -63, 19, -35, -20, 18, -85]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[mid] > list_1[right]:\n left = mid + 1\n elif list_1[mid] < list_1[right]:\n right = mid\n else:\n right -= 1\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-85", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":4,\"native_task_name\":\"findMin:list\",\"output_value\":-85}]"} {"id": "python/single_target_baseline/4/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 4, "target_native_task_name": "findMin:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [18, -8, 56, -80, 99, -18, -4, 38, 14, -35]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[mid] > list_1[right]:\n left = mid + 1\n elif list_1[mid] < list_1[right]:\n right = mid\n else:\n right -= 1\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-35", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":4,\"native_task_name\":\"findMin:list\",\"output_value\":-35}]"} {"id": "python/single_target_baseline/4/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 4, "target_native_task_name": "findMin:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [32, -94, -100, -11, -81, 89, 90, 78, -77, -80]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[mid] > list_1[right]:\n left = mid + 1\n elif list_1[mid] < list_1[right]:\n right = mid\n else:\n right -= 1\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-81", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":4,\"native_task_name\":\"findMin:list\",\"output_value\":-81}]"} {"id": "python/single_target_baseline/4/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 4, "target_native_task_name": "findMin:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [96, -31, -62, 95, -54, -73, 64, 94, -8, 15]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[mid] > list_1[right]:\n left = mid + 1\n elif list_1[mid] < list_1[right]:\n right = mid\n else:\n right -= 1\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-62", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":4,\"native_task_name\":\"findMin:list\",\"output_value\":-62}]"} {"id": "python/single_target_baseline/4/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 4, "target_native_task_name": "findMin:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-97, 74, -26, -75, 93, -28, 56, 71, -90, -89]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[mid] > list_1[right]:\n left = mid + 1\n elif list_1[mid] < list_1[right]:\n right = mid\n else:\n right -= 1\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-90", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":4,\"native_task_name\":\"findMin:list\",\"output_value\":-90}]"} {"id": "python/single_target_baseline/4/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 4, "target_native_task_name": "findMin:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [78, 69, 50, 43, 83, -66, -6, 89, 49, -93]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[mid] > list_1[right]:\n left = mid + 1\n elif list_1[mid] < list_1[right]:\n right = mid\n else:\n right -= 1\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-93", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":4,\"native_task_name\":\"findMin:list\",\"output_value\":-93}]"} {"id": "python/single_target_baseline/5/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 5, "target_native_task_name": "minimumOperations:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-83, -25, 30, 52, 48, -64, -14, 23, -91, 24]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, j) = (0, len(list_1) - 1)\n (a, b) = (list_1[i], list_1[j])\n ans = 0\n while i < j:\n if a < b:\n i += 1\n a += list_1[i]\n ans += 1\n elif b < a:\n j -= 1\n b += list_1[j]\n ans += 1\n else:\n (i, j) = (i + 1, j - 1)\n (a, b) = (list_1[i], list_1[j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":5,\"native_task_name\":\"minimumOperations:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/5/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 5, "target_native_task_name": "minimumOperations:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-21, 12, -10, -68, 52, -59, -88, 44, -69, -20]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, j) = (0, len(list_1) - 1)\n (a, b) = (list_1[i], list_1[j])\n ans = 0\n while i < j:\n if a < b:\n i += 1\n a += list_1[i]\n ans += 1\n elif b < a:\n j -= 1\n b += list_1[j]\n ans += 1\n else:\n (i, j) = (i + 1, j - 1)\n (a, b) = (list_1[i], list_1[j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":5,\"native_task_name\":\"minimumOperations:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/5/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 5, "target_native_task_name": "minimumOperations:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-52, -53, 47, 48, 76, -65, 47, 58, 6, 18]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, j) = (0, len(list_1) - 1)\n (a, b) = (list_1[i], list_1[j])\n ans = 0\n while i < j:\n if a < b:\n i += 1\n a += list_1[i]\n ans += 1\n elif b < a:\n j -= 1\n b += list_1[j]\n ans += 1\n else:\n (i, j) = (i + 1, j - 1)\n (a, b) = (list_1[i], list_1[j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":5,\"native_task_name\":\"minimumOperations:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/5/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 5, "target_native_task_name": "minimumOperations:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [4, 30, 8, 16, 46, 92, 50, 59, -42, -82]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, j) = (0, len(list_1) - 1)\n (a, b) = (list_1[i], list_1[j])\n ans = 0\n while i < j:\n if a < b:\n i += 1\n a += list_1[i]\n ans += 1\n elif b < a:\n j -= 1\n b += list_1[j]\n ans += 1\n else:\n (i, j) = (i + 1, j - 1)\n (a, b) = (list_1[i], list_1[j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":5,\"native_task_name\":\"minimumOperations:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/5/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 5, "target_native_task_name": "minimumOperations:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-78, 77, 63, 74, -44, 11, -29, -68, 85, -6]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, j) = (0, len(list_1) - 1)\n (a, b) = (list_1[i], list_1[j])\n ans = 0\n while i < j:\n if a < b:\n i += 1\n a += list_1[i]\n ans += 1\n elif b < a:\n j -= 1\n b += list_1[j]\n ans += 1\n else:\n (i, j) = (i + 1, j - 1)\n (a, b) = (list_1[i], list_1[j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":5,\"native_task_name\":\"minimumOperations:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/5/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 5, "target_native_task_name": "minimumOperations:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [48, 32, 43, 88, -55, -54, -68, 8, -99, 75]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, j) = (0, len(list_1) - 1)\n (a, b) = (list_1[i], list_1[j])\n ans = 0\n while i < j:\n if a < b:\n i += 1\n a += list_1[i]\n ans += 1\n elif b < a:\n j -= 1\n b += list_1[j]\n ans += 1\n else:\n (i, j) = (i + 1, j - 1)\n (a, b) = (list_1[i], list_1[j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":5,\"native_task_name\":\"minimumOperations:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/5/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 5, "target_native_task_name": "minimumOperations:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-85, 31, 61, -80, -71, -51, 11, 95, 45, -72]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, j) = (0, len(list_1) - 1)\n (a, b) = (list_1[i], list_1[j])\n ans = 0\n while i < j:\n if a < b:\n i += 1\n a += list_1[i]\n ans += 1\n elif b < a:\n j -= 1\n b += list_1[j]\n ans += 1\n else:\n (i, j) = (i + 1, j - 1)\n (a, b) = (list_1[i], list_1[j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":5,\"native_task_name\":\"minimumOperations:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/5/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 5, "target_native_task_name": "minimumOperations:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-9, 95, 100, 66, -59, -6, 27, 41, -26, -87]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, j) = (0, len(list_1) - 1)\n (a, b) = (list_1[i], list_1[j])\n ans = 0\n while i < j:\n if a < b:\n i += 1\n a += list_1[i]\n ans += 1\n elif b < a:\n j -= 1\n b += list_1[j]\n ans += 1\n else:\n (i, j) = (i + 1, j - 1)\n (a, b) = (list_1[i], list_1[j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":5,\"native_task_name\":\"minimumOperations:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/5/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 5, "target_native_task_name": "minimumOperations:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-80, 92, -12, -69, 0, 33, 17, -84, -55, 10]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, j) = (0, len(list_1) - 1)\n (a, b) = (list_1[i], list_1[j])\n ans = 0\n while i < j:\n if a < b:\n i += 1\n a += list_1[i]\n ans += 1\n elif b < a:\n j -= 1\n b += list_1[j]\n ans += 1\n else:\n (i, j) = (i + 1, j - 1)\n (a, b) = (list_1[i], list_1[j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":5,\"native_task_name\":\"minimumOperations:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/5/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 5, "target_native_task_name": "minimumOperations:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [18, -20, -57, 25, -58, -35, -69, -53, -86, -89]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, j) = (0, len(list_1) - 1)\n (a, b) = (list_1[i], list_1[j])\n ans = 0\n while i < j:\n if a < b:\n i += 1\n a += list_1[i]\n ans += 1\n elif b < a:\n j -= 1\n b += list_1[j]\n ans += 1\n else:\n (i, j) = (i + 1, j - 1)\n (a, b) = (list_1[i], list_1[j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":5,\"native_task_name\":\"minimumOperations:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/5/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 5, "target_native_task_name": "minimumOperations:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-38, 99, -95, -68, -35, -40, -92, -74, -92, 81]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, j) = (0, len(list_1) - 1)\n (a, b) = (list_1[i], list_1[j])\n ans = 0\n while i < j:\n if a < b:\n i += 1\n a += list_1[i]\n ans += 1\n elif b < a:\n j -= 1\n b += list_1[j]\n ans += 1\n else:\n (i, j) = (i + 1, j - 1)\n (a, b) = (list_1[i], list_1[j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":5,\"native_task_name\":\"minimumOperations:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/5/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 5, "target_native_task_name": "minimumOperations:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [51, -48, -21, -13, -19, 64, -35, -37, -71, 60]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, j) = (0, len(list_1) - 1)\n (a, b) = (list_1[i], list_1[j])\n ans = 0\n while i < j:\n if a < b:\n i += 1\n a += list_1[i]\n ans += 1\n elif b < a:\n j -= 1\n b += list_1[j]\n ans += 1\n else:\n (i, j) = (i + 1, j - 1)\n (a, b) = (list_1[i], list_1[j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":5,\"native_task_name\":\"minimumOperations:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/5/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 5, "target_native_task_name": "minimumOperations:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-87, -90, -21, 17, -29, -73, -14, -16, -13, -92]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, j) = (0, len(list_1) - 1)\n (a, b) = (list_1[i], list_1[j])\n ans = 0\n while i < j:\n if a < b:\n i += 1\n a += list_1[i]\n ans += 1\n elif b < a:\n j -= 1\n b += list_1[j]\n ans += 1\n else:\n (i, j) = (i + 1, j - 1)\n (a, b) = (list_1[i], list_1[j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":5,\"native_task_name\":\"minimumOperations:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/5/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 5, "target_native_task_name": "minimumOperations:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-34, -68, 23, -12, 64, 73, 6, -84, 25, 87]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, j) = (0, len(list_1) - 1)\n (a, b) = (list_1[i], list_1[j])\n ans = 0\n while i < j:\n if a < b:\n i += 1\n a += list_1[i]\n ans += 1\n elif b < a:\n j -= 1\n b += list_1[j]\n ans += 1\n else:\n (i, j) = (i + 1, j - 1)\n (a, b) = (list_1[i], list_1[j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":5,\"native_task_name\":\"minimumOperations:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/5/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 5, "target_native_task_name": "minimumOperations:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-32, 24, -25, -62, 88, -73, 87, 48, -63, -88]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, j) = (0, len(list_1) - 1)\n (a, b) = (list_1[i], list_1[j])\n ans = 0\n while i < j:\n if a < b:\n i += 1\n a += list_1[i]\n ans += 1\n elif b < a:\n j -= 1\n b += list_1[j]\n ans += 1\n else:\n (i, j) = (i + 1, j - 1)\n (a, b) = (list_1[i], list_1[j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":5,\"native_task_name\":\"minimumOperations:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/5/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 5, "target_native_task_name": "minimumOperations:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-76, 74, 84, -73, 89, -3, -24, 84, 3, 40]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, j) = (0, len(list_1) - 1)\n (a, b) = (list_1[i], list_1[j])\n ans = 0\n while i < j:\n if a < b:\n i += 1\n a += list_1[i]\n ans += 1\n elif b < a:\n j -= 1\n b += list_1[j]\n ans += 1\n else:\n (i, j) = (i + 1, j - 1)\n (a, b) = (list_1[i], list_1[j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":5,\"native_task_name\":\"minimumOperations:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/6/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 6, "target_native_task_name": "maximumProcessableQueries:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-44, 64, 84, -34, -83, -61, -59, -74, 84, -62]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [-42, 78, -94, 35, -51, -54, 63, 73, -67, 15].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n m = len(queries)\n for i in range(n):\n for j in range(n - 1, i - 1, -1):\n if i:\n f[i][j] = max(f[i][j], f[i - 1][j] + (list_1[i - 1] >= queries[f[i - 1][j]]))\n if j + 1 < n:\n f[i][j] = max(f[i][j], f[i][j + 1] + (list_1[j + 1] >= queries[f[i][j + 1]]))\n if f[i][j] == m:\n python_result_1 = m\n return python_result_1\n python_result_1 = max((f[i][i] + (list_1[i] >= queries[f[i][i]]) for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":6,\"native_task_name\":\"maximumProcessableQueries:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/6/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 6, "target_native_task_name": "maximumProcessableQueries:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-21, -51, -68, 1, 99, 55, 7, 96, -16, -26]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [79, 26, 77, 48, -29, -95, 40, -54, 66, -76].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n m = len(queries)\n for i in range(n):\n for j in range(n - 1, i - 1, -1):\n if i:\n f[i][j] = max(f[i][j], f[i - 1][j] + (list_1[i - 1] >= queries[f[i - 1][j]]))\n if j + 1 < n:\n f[i][j] = max(f[i][j], f[i][j + 1] + (list_1[j + 1] >= queries[f[i][j + 1]]))\n if f[i][j] == m:\n python_result_1 = m\n return python_result_1\n python_result_1 = max((f[i][i] + (list_1[i] >= queries[f[i][i]]) for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":6,\"native_task_name\":\"maximumProcessableQueries:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/6/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 6, "target_native_task_name": "maximumProcessableQueries:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [1, -73, -55, 88, 58, 86, -59, 26, 99, 94]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [-100, 85, -2, -77, 51, -24, 80, 53, 94, 26].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n m = len(queries)\n for i in range(n):\n for j in range(n - 1, i - 1, -1):\n if i:\n f[i][j] = max(f[i][j], f[i - 1][j] + (list_1[i - 1] >= queries[f[i - 1][j]]))\n if j + 1 < n:\n f[i][j] = max(f[i][j], f[i][j + 1] + (list_1[j + 1] >= queries[f[i][j + 1]]))\n if f[i][j] == m:\n python_result_1 = m\n return python_result_1\n python_result_1 = max((f[i][i] + (list_1[i] >= queries[f[i][i]]) for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":6,\"native_task_name\":\"maximumProcessableQueries:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/6/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 6, "target_native_task_name": "maximumProcessableQueries:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [31, 76, -30, 5, 74, 87, 72, -65, 86, 93]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [-97, -61, 14, -91, 35, 33, 1, 59, 26, 53].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n m = len(queries)\n for i in range(n):\n for j in range(n - 1, i - 1, -1):\n if i:\n f[i][j] = max(f[i][j], f[i - 1][j] + (list_1[i - 1] >= queries[f[i - 1][j]]))\n if j + 1 < n:\n f[i][j] = max(f[i][j], f[i][j + 1] + (list_1[j + 1] >= queries[f[i][j + 1]]))\n if f[i][j] == m:\n python_result_1 = m\n return python_result_1\n python_result_1 = max((f[i][i] + (list_1[i] >= queries[f[i][i]]) for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":6,\"native_task_name\":\"maximumProcessableQueries:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/6/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 6, "target_native_task_name": "maximumProcessableQueries:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [17, -82, 94, 56, 49, -25, 32, -13, 48, -48]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [-67, 10, 30, -71, 84, 9, -38, 27, -40, -60].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n m = len(queries)\n for i in range(n):\n for j in range(n - 1, i - 1, -1):\n if i:\n f[i][j] = max(f[i][j], f[i - 1][j] + (list_1[i - 1] >= queries[f[i - 1][j]]))\n if j + 1 < n:\n f[i][j] = max(f[i][j], f[i][j + 1] + (list_1[j + 1] >= queries[f[i][j + 1]]))\n if f[i][j] == m:\n python_result_1 = m\n return python_result_1\n python_result_1 = max((f[i][i] + (list_1[i] >= queries[f[i][i]]) for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":6,\"native_task_name\":\"maximumProcessableQueries:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/6/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 6, "target_native_task_name": "maximumProcessableQueries:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-50, 85, 35, -23, -83, 67, -84, -89, -32, -100]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [81, -43, 3, -87, 77, 21, 91, 77, -75, -59].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n m = len(queries)\n for i in range(n):\n for j in range(n - 1, i - 1, -1):\n if i:\n f[i][j] = max(f[i][j], f[i - 1][j] + (list_1[i - 1] >= queries[f[i - 1][j]]))\n if j + 1 < n:\n f[i][j] = max(f[i][j], f[i][j + 1] + (list_1[j + 1] >= queries[f[i][j + 1]]))\n if f[i][j] == m:\n python_result_1 = m\n return python_result_1\n python_result_1 = max((f[i][i] + (list_1[i] >= queries[f[i][i]]) for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":6,\"native_task_name\":\"maximumProcessableQueries:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/6/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 6, "target_native_task_name": "maximumProcessableQueries:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-90, -26, -51, 59, 84, 66, 52, -78, 60, 8]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [-29, 21, -10, -66, -77, 11, 36, 0, 57, -90].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n m = len(queries)\n for i in range(n):\n for j in range(n - 1, i - 1, -1):\n if i:\n f[i][j] = max(f[i][j], f[i - 1][j] + (list_1[i - 1] >= queries[f[i - 1][j]]))\n if j + 1 < n:\n f[i][j] = max(f[i][j], f[i][j + 1] + (list_1[j + 1] >= queries[f[i][j + 1]]))\n if f[i][j] == m:\n python_result_1 = m\n return python_result_1\n python_result_1 = max((f[i][i] + (list_1[i] >= queries[f[i][i]]) for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":6,\"native_task_name\":\"maximumProcessableQueries:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/6/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 6, "target_native_task_name": "maximumProcessableQueries:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [95, -73, -50, -15, 52, -54, 100, 87, -23, 26]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [-19, 8, 19, -89, -92, 8, 62, 97, 49, -99].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n m = len(queries)\n for i in range(n):\n for j in range(n - 1, i - 1, -1):\n if i:\n f[i][j] = max(f[i][j], f[i - 1][j] + (list_1[i - 1] >= queries[f[i - 1][j]]))\n if j + 1 < n:\n f[i][j] = max(f[i][j], f[i][j + 1] + (list_1[j + 1] >= queries[f[i][j + 1]]))\n if f[i][j] == m:\n python_result_1 = m\n return python_result_1\n python_result_1 = max((f[i][i] + (list_1[i] >= queries[f[i][i]]) for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":6,\"native_task_name\":\"maximumProcessableQueries:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/6/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 6, "target_native_task_name": "maximumProcessableQueries:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [66, 40, -75, -6, -29, -76, 50, 31, 97, -5]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [-22, 75, 67, -62, -95, 84, -92, -44, 36, -36].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n m = len(queries)\n for i in range(n):\n for j in range(n - 1, i - 1, -1):\n if i:\n f[i][j] = max(f[i][j], f[i - 1][j] + (list_1[i - 1] >= queries[f[i - 1][j]]))\n if j + 1 < n:\n f[i][j] = max(f[i][j], f[i][j + 1] + (list_1[j + 1] >= queries[f[i][j + 1]]))\n if f[i][j] == m:\n python_result_1 = m\n return python_result_1\n python_result_1 = max((f[i][i] + (list_1[i] >= queries[f[i][i]]) for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":6,\"native_task_name\":\"maximumProcessableQueries:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/6/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 6, "target_native_task_name": "maximumProcessableQueries:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [3, -86, 7, 55, 26, -65, -19, -31, 73, 78]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [-18, 3, 61, 52, 18, 80, 71, 81, -71, 3].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n m = len(queries)\n for i in range(n):\n for j in range(n - 1, i - 1, -1):\n if i:\n f[i][j] = max(f[i][j], f[i - 1][j] + (list_1[i - 1] >= queries[f[i - 1][j]]))\n if j + 1 < n:\n f[i][j] = max(f[i][j], f[i][j + 1] + (list_1[j + 1] >= queries[f[i][j + 1]]))\n if f[i][j] == m:\n python_result_1 = m\n return python_result_1\n python_result_1 = max((f[i][i] + (list_1[i] >= queries[f[i][i]]) for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":6,\"native_task_name\":\"maximumProcessableQueries:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/6/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 6, "target_native_task_name": "maximumProcessableQueries:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-79, -10, -48, 7, -30, -32, -18, 97, -3, 45]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [64, -52, -23, -20, 83, -23, -93, 79, 3, -40].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n m = len(queries)\n for i in range(n):\n for j in range(n - 1, i - 1, -1):\n if i:\n f[i][j] = max(f[i][j], f[i - 1][j] + (list_1[i - 1] >= queries[f[i - 1][j]]))\n if j + 1 < n:\n f[i][j] = max(f[i][j], f[i][j + 1] + (list_1[j + 1] >= queries[f[i][j + 1]]))\n if f[i][j] == m:\n python_result_1 = m\n return python_result_1\n python_result_1 = max((f[i][i] + (list_1[i] >= queries[f[i][i]]) for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":6,\"native_task_name\":\"maximumProcessableQueries:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/6/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 6, "target_native_task_name": "maximumProcessableQueries:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [53, -27, -73, -21, -31, -44, 10, -35, 38, 97]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [77, 14, 100, -4, 82, 2, 96, -50, -41, -90].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n m = len(queries)\n for i in range(n):\n for j in range(n - 1, i - 1, -1):\n if i:\n f[i][j] = max(f[i][j], f[i - 1][j] + (list_1[i - 1] >= queries[f[i - 1][j]]))\n if j + 1 < n:\n f[i][j] = max(f[i][j], f[i][j + 1] + (list_1[j + 1] >= queries[f[i][j + 1]]))\n if f[i][j] == m:\n python_result_1 = m\n return python_result_1\n python_result_1 = max((f[i][i] + (list_1[i] >= queries[f[i][i]]) for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":6,\"native_task_name\":\"maximumProcessableQueries:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/6/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 6, "target_native_task_name": "maximumProcessableQueries:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [51, -9, 80, 53, 14, 8, -2, -73, 48, -74]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [31, -6, 41, -48, -27, 34, -82, 36, 3, 78].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n m = len(queries)\n for i in range(n):\n for j in range(n - 1, i - 1, -1):\n if i:\n f[i][j] = max(f[i][j], f[i - 1][j] + (list_1[i - 1] >= queries[f[i - 1][j]]))\n if j + 1 < n:\n f[i][j] = max(f[i][j], f[i][j + 1] + (list_1[j + 1] >= queries[f[i][j + 1]]))\n if f[i][j] == m:\n python_result_1 = m\n return python_result_1\n python_result_1 = max((f[i][i] + (list_1[i] >= queries[f[i][i]]) for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":6,\"native_task_name\":\"maximumProcessableQueries:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/6/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 6, "target_native_task_name": "maximumProcessableQueries:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [36, -5, -98, 83, -69, -51, -5, 72, 22, 56]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [62, 2, -24, -66, -56, 44, -73, -40, 29, -38].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n m = len(queries)\n for i in range(n):\n for j in range(n - 1, i - 1, -1):\n if i:\n f[i][j] = max(f[i][j], f[i - 1][j] + (list_1[i - 1] >= queries[f[i - 1][j]]))\n if j + 1 < n:\n f[i][j] = max(f[i][j], f[i][j + 1] + (list_1[j + 1] >= queries[f[i][j + 1]]))\n if f[i][j] == m:\n python_result_1 = m\n return python_result_1\n python_result_1 = max((f[i][i] + (list_1[i] >= queries[f[i][i]]) for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":6,\"native_task_name\":\"maximumProcessableQueries:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/6/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 6, "target_native_task_name": "maximumProcessableQueries:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-4, 71, -11, 36, 24, 59, -51, -17, -58, -78]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [-86, -57, 33, -74, -91, 23, -45, -31, -35, -53].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n m = len(queries)\n for i in range(n):\n for j in range(n - 1, i - 1, -1):\n if i:\n f[i][j] = max(f[i][j], f[i - 1][j] + (list_1[i - 1] >= queries[f[i - 1][j]]))\n if j + 1 < n:\n f[i][j] = max(f[i][j], f[i][j + 1] + (list_1[j + 1] >= queries[f[i][j + 1]]))\n if f[i][j] == m:\n python_result_1 = m\n return python_result_1\n python_result_1 = max((f[i][i] + (list_1[i] >= queries[f[i][i]]) for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":6,\"native_task_name\":\"maximumProcessableQueries:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/6/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 6, "target_native_task_name": "maximumProcessableQueries:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [9, -47, 66, -90, -80, 34, 90, -27, -50, -32]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [-67, -77, -51, -38, 1, 17, -72, 88, -48, 6].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n m = len(queries)\n for i in range(n):\n for j in range(n - 1, i - 1, -1):\n if i:\n f[i][j] = max(f[i][j], f[i - 1][j] + (list_1[i - 1] >= queries[f[i - 1][j]]))\n if j + 1 < n:\n f[i][j] = max(f[i][j], f[i][j + 1] + (list_1[j + 1] >= queries[f[i][j + 1]]))\n if f[i][j] == m:\n python_result_1 = m\n return python_result_1\n python_result_1 = max((f[i][i] + (list_1[i] >= queries[f[i][i]]) for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":6,\"native_task_name\":\"maximumProcessableQueries:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/7/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 7, "target_native_task_name": "lexicographicallySmallestArray:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [77, 34, -91, 9, 44, -82, 17, -18, -83, 63]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_limit_static = -49.\nTrace the execution of task_1 with inputs limit = task_1_limit_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], limit: int) -> List[int]:\n n = len(list_1)\n arr = sorted(zip(list_1, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= limit:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[77,34,-91,9,44,-82,17,-18,-83,63]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":7,\"native_task_name\":\"lexicographicallySmallestArray:list\",\"output_value\":[77,34,-91,9,44,-82,17,-18,-83,63]}]"} {"id": "python/single_target_baseline/7/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 7, "target_native_task_name": "lexicographicallySmallestArray:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [14, 75, 79, 66, 35, -2, 89, -79, -77, 38]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_limit_static = -92.\nTrace the execution of task_1 with inputs limit = task_1_limit_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], limit: int) -> List[int]:\n n = len(list_1)\n arr = sorted(zip(list_1, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= limit:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[14,75,79,66,35,-2,89,-79,-77,38]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":7,\"native_task_name\":\"lexicographicallySmallestArray:list\",\"output_value\":[14,75,79,66,35,-2,89,-79,-77,38]}]"} {"id": "python/single_target_baseline/7/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 7, "target_native_task_name": "lexicographicallySmallestArray:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [60, 2, -25, 70, 33, -97, 77, -57, -71, 12]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_limit_static = 9.\nTrace the execution of task_1 with inputs limit = task_1_limit_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], limit: int) -> List[int]:\n n = len(list_1)\n arr = sorted(zip(list_1, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= limit:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[60,2,-25,70,33,-97,77,-57,-71,12]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":7,\"native_task_name\":\"lexicographicallySmallestArray:list\",\"output_value\":[60,2,-25,70,33,-97,77,-57,-71,12]}]"} {"id": "python/single_target_baseline/7/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 7, "target_native_task_name": "lexicographicallySmallestArray:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-4, -8, 66, 50, -95, 32, 19, 36, 11, -72]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_limit_static = 20.\nTrace the execution of task_1 with inputs limit = task_1_limit_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], limit: int) -> List[int]:\n n = len(list_1)\n arr = sorted(zip(list_1, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= limit:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-8,-4,11,19,-95,32,36,50,66,-72]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":7,\"native_task_name\":\"lexicographicallySmallestArray:list\",\"output_value\":[-8,-4,11,19,-95,32,36,50,66,-72]}]"} {"id": "python/single_target_baseline/7/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 7, "target_native_task_name": "lexicographicallySmallestArray:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [51, -63, 0, -42, 28, 27, 10, -61, 44, -42]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_limit_static = 24.\nTrace the execution of task_1 with inputs limit = task_1_limit_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], limit: int) -> List[int]:\n n = len(list_1)\n arr = sorted(zip(list_1, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= limit:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[0,-63,10,-61,27,28,44,-42,51,-42]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":7,\"native_task_name\":\"lexicographicallySmallestArray:list\",\"output_value\":[0,-63,10,-61,27,28,44,-42,51,-42]}]"} {"id": "python/single_target_baseline/7/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 7, "target_native_task_name": "lexicographicallySmallestArray:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-38, 94, 86, -2, -70, 92, -14, 49, 34, 12]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_limit_static = 42.\nTrace the execution of task_1 with inputs limit = task_1_limit_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], limit: int) -> List[int]:\n n = len(list_1)\n arr = sorted(zip(list_1, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= limit:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-70,-38,-14,-2,12,34,49,86,92,94]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":7,\"native_task_name\":\"lexicographicallySmallestArray:list\",\"output_value\":[-70,-38,-14,-2,12,34,49,86,92,94]}]"} {"id": "python/single_target_baseline/7/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 7, "target_native_task_name": "lexicographicallySmallestArray:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-54, 22, -24, 27, -45, -22, -36, 18, 61, -34]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_limit_static = -40.\nTrace the execution of task_1 with inputs limit = task_1_limit_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], limit: int) -> List[int]:\n n = len(list_1)\n arr = sorted(zip(list_1, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= limit:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-54,22,-24,27,-45,-22,-36,18,61,-34]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":7,\"native_task_name\":\"lexicographicallySmallestArray:list\",\"output_value\":[-54,22,-24,27,-45,-22,-36,18,61,-34]}]"} {"id": "python/single_target_baseline/7/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 7, "target_native_task_name": "lexicographicallySmallestArray:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-59, -65, -2, -83, 70, 58, 86, 67, -45, 52]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_limit_static = 96.\nTrace the execution of task_1 with inputs limit = task_1_limit_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], limit: int) -> List[int]:\n n = len(list_1)\n arr = sorted(zip(list_1, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= limit:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-83,-65,-59,-45,-2,52,58,67,70,86]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":7,\"native_task_name\":\"lexicographicallySmallestArray:list\",\"output_value\":[-83,-65,-59,-45,-2,52,58,67,70,86]}]"} {"id": "python/single_target_baseline/7/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 7, "target_native_task_name": "lexicographicallySmallestArray:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [23, -94, 13, 37, 20, 4, 26, 16, 34, 68]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_limit_static = -27.\nTrace the execution of task_1 with inputs limit = task_1_limit_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], limit: int) -> List[int]:\n n = len(list_1)\n arr = sorted(zip(list_1, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= limit:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[23,-94,13,37,20,4,26,16,34,68]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":7,\"native_task_name\":\"lexicographicallySmallestArray:list\",\"output_value\":[23,-94,13,37,20,4,26,16,34,68]}]"} {"id": "python/single_target_baseline/7/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 7, "target_native_task_name": "lexicographicallySmallestArray:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-82, 55, -35, 81, 62, 41, 21, 99, -44, -43]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_limit_static = -57.\nTrace the execution of task_1 with inputs limit = task_1_limit_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], limit: int) -> List[int]:\n n = len(list_1)\n arr = sorted(zip(list_1, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= limit:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-82,55,-35,81,62,41,21,99,-44,-43]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":7,\"native_task_name\":\"lexicographicallySmallestArray:list\",\"output_value\":[-82,55,-35,81,62,41,21,99,-44,-43]}]"} {"id": "python/single_target_baseline/7/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 7, "target_native_task_name": "lexicographicallySmallestArray:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [35, -95, 98, -50, 95, -79, 26, -91, 37, 44]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_limit_static = 66.\nTrace the execution of task_1 with inputs limit = task_1_limit_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], limit: int) -> List[int]:\n n = len(list_1)\n arr = sorted(zip(list_1, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= limit:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[26,-95,35,-91,37,-79,44,-50,95,98]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":7,\"native_task_name\":\"lexicographicallySmallestArray:list\",\"output_value\":[26,-95,35,-91,37,-79,44,-50,95,98]}]"} {"id": "python/single_target_baseline/7/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 7, "target_native_task_name": "lexicographicallySmallestArray:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-7, -43, 53, -23, -88, -48, 68, -31, -77, 57]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_limit_static = -26.\nTrace the execution of task_1 with inputs limit = task_1_limit_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], limit: int) -> List[int]:\n n = len(list_1)\n arr = sorted(zip(list_1, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= limit:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-7,-43,53,-23,-88,-48,68,-31,-77,57]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":7,\"native_task_name\":\"lexicographicallySmallestArray:list\",\"output_value\":[-7,-43,53,-23,-88,-48,68,-31,-77,57]}]"} {"id": "python/single_target_baseline/7/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 7, "target_native_task_name": "lexicographicallySmallestArray:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [2, 19, 57, -21, -31, -70, -74, 79, 88, -33]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_limit_static = 82.\nTrace the execution of task_1 with inputs limit = task_1_limit_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], limit: int) -> List[int]:\n n = len(list_1)\n arr = sorted(zip(list_1, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= limit:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-74,-70,-33,-31,-21,2,19,57,79,88]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":7,\"native_task_name\":\"lexicographicallySmallestArray:list\",\"output_value\":[-74,-70,-33,-31,-21,2,19,57,79,88]}]"} {"id": "python/single_target_baseline/7/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 7, "target_native_task_name": "lexicographicallySmallestArray:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [28, 4, -24, -43, -88, -17, -96, -16, -31, -9]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_limit_static = -25.\nTrace the execution of task_1 with inputs limit = task_1_limit_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], limit: int) -> List[int]:\n n = len(list_1)\n arr = sorted(zip(list_1, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= limit:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[28,4,-24,-43,-88,-17,-96,-16,-31,-9]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":7,\"native_task_name\":\"lexicographicallySmallestArray:list\",\"output_value\":[28,4,-24,-43,-88,-17,-96,-16,-31,-9]}]"} {"id": "python/single_target_baseline/7/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 7, "target_native_task_name": "lexicographicallySmallestArray:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-46, 57, -15, -41, -60, -82, 48, 71, 64, -15]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_limit_static = 91.\nTrace the execution of task_1 with inputs limit = task_1_limit_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], limit: int) -> List[int]:\n n = len(list_1)\n arr = sorted(zip(list_1, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= limit:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-82,-60,-46,-41,-15,-15,48,57,64,71]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":7,\"native_task_name\":\"lexicographicallySmallestArray:list\",\"output_value\":[-82,-60,-46,-41,-15,-15,48,57,64,71]}]"} {"id": "python/single_target_baseline/7/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 7, "target_native_task_name": "lexicographicallySmallestArray:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [45, -32, 5, 49, 52, 43, -7, -75, 58, 76]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_limit_static = -58.\nTrace the execution of task_1 with inputs limit = task_1_limit_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], limit: int) -> List[int]:\n n = len(list_1)\n arr = sorted(zip(list_1, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= limit:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[45,-32,5,49,52,43,-7,-75,58,76]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":7,\"native_task_name\":\"lexicographicallySmallestArray:list\",\"output_value\":[45,-32,5,49,52,43,-7,-75,58,76]}]"} {"id": "python/single_target_baseline/8/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 8, "target_native_task_name": "lexicographicallySmallestArray:scalar", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -36}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-24, 65, 86, 75, 61, -72, -29, -85, 9, 44].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> List[int]:\n n = len(nums)\n arr = sorted(zip(nums, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= val_1:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-24,65,86,75,61,-72,-29,-85,9,44]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":8,\"native_task_name\":\"lexicographicallySmallestArray:scalar\",\"output_value\":[-24,65,86,75,61,-72,-29,-85,9,44]}]"} {"id": "python/single_target_baseline/8/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 8, "target_native_task_name": "lexicographicallySmallestArray:scalar", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -82}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-90, 64, -81, 61, 68, -76, -25, 0, 37, -6].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> List[int]:\n n = len(nums)\n arr = sorted(zip(nums, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= val_1:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-90,64,-81,61,68,-76,-25,0,37,-6]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":8,\"native_task_name\":\"lexicographicallySmallestArray:scalar\",\"output_value\":[-90,64,-81,61,68,-76,-25,0,37,-6]}]"} {"id": "python/single_target_baseline/8/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 8, "target_native_task_name": "lexicographicallySmallestArray:scalar", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 28}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-57, 18, -83, 96, -77, 41, 23, -38, 74, -84].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> List[int]:\n n = len(nums)\n arr = sorted(zip(nums, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= val_1:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-84,18,-83,74,-77,23,41,-57,96,-38]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":8,\"native_task_name\":\"lexicographicallySmallestArray:scalar\",\"output_value\":[-84,18,-83,74,-77,23,41,-57,96,-38]}]"} {"id": "python/single_target_baseline/8/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 8, "target_native_task_name": "lexicographicallySmallestArray:scalar", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -10}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [84, -79, 77, 89, 89, 65, 89, -2, 79, 59].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> List[int]:\n n = len(nums)\n arr = sorted(zip(nums, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= val_1:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[84,-79,77,89,89,65,89,-2,79,59]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":8,\"native_task_name\":\"lexicographicallySmallestArray:scalar\",\"output_value\":[84,-79,77,89,89,65,89,-2,79,59]}]"} {"id": "python/single_target_baseline/8/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 8, "target_native_task_name": "lexicographicallySmallestArray:scalar", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -54}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [48, -69, -69, -84, -28, 93, -45, 9, -59, 66].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> List[int]:\n n = len(nums)\n arr = sorted(zip(nums, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= val_1:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[48,-69,-69,-84,-28,93,-45,9,-59,66]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":8,\"native_task_name\":\"lexicographicallySmallestArray:scalar\",\"output_value\":[48,-69,-69,-84,-28,93,-45,9,-59,66]}]"} {"id": "python/single_target_baseline/8/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 8, "target_native_task_name": "lexicographicallySmallestArray:scalar", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 78}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [100, -21, -13, -8, 62, -51, 98, -56, -34, 75].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> List[int]:\n n = len(nums)\n arr = sorted(zip(nums, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= val_1:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-56,-51,-34,-21,-13,-8,62,75,98,100]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":8,\"native_task_name\":\"lexicographicallySmallestArray:scalar\",\"output_value\":[-56,-51,-34,-21,-13,-8,62,75,98,100]}]"} {"id": "python/single_target_baseline/8/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 8, "target_native_task_name": "lexicographicallySmallestArray:scalar", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -26}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-95, 12, -21, -88, -46, 80, -33, -81, -4, 1].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> List[int]:\n n = len(nums)\n arr = sorted(zip(nums, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= val_1:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-95,12,-21,-88,-46,80,-33,-81,-4,1]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":8,\"native_task_name\":\"lexicographicallySmallestArray:scalar\",\"output_value\":[-95,12,-21,-88,-46,80,-33,-81,-4,1]}]"} {"id": "python/single_target_baseline/8/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 8, "target_native_task_name": "lexicographicallySmallestArray:scalar", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -23}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-5, 69, 38, -23, 90, 76, 98, 74, -58, -86].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> List[int]:\n n = len(nums)\n arr = sorted(zip(nums, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= val_1:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-5,69,38,-23,90,76,98,74,-58,-86]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":8,\"native_task_name\":\"lexicographicallySmallestArray:scalar\",\"output_value\":[-5,69,38,-23,90,76,98,74,-58,-86]}]"} {"id": "python/single_target_baseline/8/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 8, "target_native_task_name": "lexicographicallySmallestArray:scalar", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -27}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [67, -6, 86, -82, 70, -25, -72, -68, 62, 79].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> List[int]:\n n = len(nums)\n arr = sorted(zip(nums, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= val_1:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[67,-6,86,-82,70,-25,-72,-68,62,79]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":8,\"native_task_name\":\"lexicographicallySmallestArray:scalar\",\"output_value\":[67,-6,86,-82,70,-25,-72,-68,62,79]}]"} {"id": "python/single_target_baseline/8/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 8, "target_native_task_name": "lexicographicallySmallestArray:scalar", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 27}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-38, 46, 54, -67, 94, 29, 75, -15, -12, 63].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> List[int]:\n n = len(nums)\n arr = sorted(zip(nums, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= val_1:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-38,29,46,-67,54,63,75,-15,-12,94]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":8,\"native_task_name\":\"lexicographicallySmallestArray:scalar\",\"output_value\":[-38,29,46,-67,54,63,75,-15,-12,94]}]"} {"id": "python/single_target_baseline/8/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 8, "target_native_task_name": "lexicographicallySmallestArray:scalar", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -40}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [85, -1, -46, -91, 79, -4, -71, 36, -66, -30].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> List[int]:\n n = len(nums)\n arr = sorted(zip(nums, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= val_1:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[85,-1,-46,-91,79,-4,-71,36,-66,-30]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":8,\"native_task_name\":\"lexicographicallySmallestArray:scalar\",\"output_value\":[85,-1,-46,-91,79,-4,-71,36,-66,-30]}]"} {"id": "python/single_target_baseline/8/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 8, "target_native_task_name": "lexicographicallySmallestArray:scalar", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 7}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [34, 19, 52, -92, -6, 78, 89, -55, 71, -78].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> List[int]:\n n = len(nums)\n arr = sorted(zip(nums, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= val_1:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[34,19,52,-92,-6,71,89,-55,78,-78]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":8,\"native_task_name\":\"lexicographicallySmallestArray:scalar\",\"output_value\":[34,19,52,-92,-6,71,89,-55,78,-78]}]"} {"id": "python/single_target_baseline/8/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 8, "target_native_task_name": "lexicographicallySmallestArray:scalar", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -15}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-95, -20, -7, -55, 29, -43, -38, -30, 42, -67].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> List[int]:\n n = len(nums)\n arr = sorted(zip(nums, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= val_1:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-95,-20,-7,-55,29,-43,-38,-30,42,-67]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":8,\"native_task_name\":\"lexicographicallySmallestArray:scalar\",\"output_value\":[-95,-20,-7,-55,29,-43,-38,-30,42,-67]}]"} {"id": "python/single_target_baseline/8/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 8, "target_native_task_name": "lexicographicallySmallestArray:scalar", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -34}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-49, -80, 93, -73, -49, -60, 11, 64, 52, 79].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> List[int]:\n n = len(nums)\n arr = sorted(zip(nums, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= val_1:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-49,-80,93,-73,-49,-60,11,64,52,79]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":8,\"native_task_name\":\"lexicographicallySmallestArray:scalar\",\"output_value\":[-49,-80,93,-73,-49,-60,11,64,52,79]}]"} {"id": "python/single_target_baseline/8/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 8, "target_native_task_name": "lexicographicallySmallestArray:scalar", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 25}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-45, 31, 11, -86, -22, -37, -20, 10, -96, 28].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> List[int]:\n n = len(nums)\n arr = sorted(zip(nums, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= val_1:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-45,10,11,-96,-37,-22,-20,28,-86,31]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":8,\"native_task_name\":\"lexicographicallySmallestArray:scalar\",\"output_value\":[-45,10,11,-96,-37,-22,-20,28,-86,31]}]"} {"id": "python/single_target_baseline/8/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 8, "target_native_task_name": "lexicographicallySmallestArray:scalar", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 78}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [44, -73, 51, -94, 83, 67, -38, 20, -49, -67].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> List[int]:\n n = len(nums)\n arr = sorted(zip(nums, range(n)))\n ans = [0] * n\n i = 0\n while i < n:\n j = i + 1\n while j < n and arr[j][0] - arr[j - 1][0] <= val_1:\n j += 1\n idx = sorted((k for (_, k) in arr[i:j]))\n for (k, (x, _)) in zip(idx, arr[i:j]):\n ans[k] = x\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-94,-73,-67,-49,-38,20,44,51,67,83]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":8,\"native_task_name\":\"lexicographicallySmallestArray:scalar\",\"output_value\":[-94,-73,-67,-49,-38,20,44,51,67,83]}]"} {"id": "python/single_target_baseline/9/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 9, "target_native_task_name": "numberOfSubarrays:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [25, 59, -77, 78, 75, 93, -62, 56, 49, -94]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n ans = 0\n for x in list_1:\n while stk and stk[-1][0] < x:\n stk.pop()\n if not stk or stk[-1][0] > x:\n stk.append([x, 1])\n else:\n stk[-1][1] += 1\n ans += stk[-1][1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":9,\"native_task_name\":\"numberOfSubarrays:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/9/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 9, "target_native_task_name": "numberOfSubarrays:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [68, -33, 100, -36, -36, -63, 89, 33, -98, -22]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n ans = 0\n for x in list_1:\n while stk and stk[-1][0] < x:\n stk.pop()\n if not stk or stk[-1][0] > x:\n stk.append([x, 1])\n else:\n stk[-1][1] += 1\n ans += stk[-1][1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "11", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":9,\"native_task_name\":\"numberOfSubarrays:list\",\"output_value\":11}]"} {"id": "python/single_target_baseline/9/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 9, "target_native_task_name": "numberOfSubarrays:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [85, -2, 12, -6, -9, 36, 81, 21, -13, -36]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n ans = 0\n for x in list_1:\n while stk and stk[-1][0] < x:\n stk.pop()\n if not stk or stk[-1][0] > x:\n stk.append([x, 1])\n else:\n stk[-1][1] += 1\n ans += stk[-1][1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":9,\"native_task_name\":\"numberOfSubarrays:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/9/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 9, "target_native_task_name": "numberOfSubarrays:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-11, -50, 47, 27, -52, -64, -75, 57, -21, 58]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n ans = 0\n for x in list_1:\n while stk and stk[-1][0] < x:\n stk.pop()\n if not stk or stk[-1][0] > x:\n stk.append([x, 1])\n else:\n stk[-1][1] += 1\n ans += stk[-1][1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":9,\"native_task_name\":\"numberOfSubarrays:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/9/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 9, "target_native_task_name": "numberOfSubarrays:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [23, -40, 78, 6, 42, -23, -91, 90, -27, 84]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n ans = 0\n for x in list_1:\n while stk and stk[-1][0] < x:\n stk.pop()\n if not stk or stk[-1][0] > x:\n stk.append([x, 1])\n else:\n stk[-1][1] += 1\n ans += stk[-1][1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":9,\"native_task_name\":\"numberOfSubarrays:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/9/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 9, "target_native_task_name": "numberOfSubarrays:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [78, -81, 7, -88, 19, -38, 35, 31, 54, 95]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n ans = 0\n for x in list_1:\n while stk and stk[-1][0] < x:\n stk.pop()\n if not stk or stk[-1][0] > x:\n stk.append([x, 1])\n else:\n stk[-1][1] += 1\n ans += stk[-1][1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":9,\"native_task_name\":\"numberOfSubarrays:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/9/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 9, "target_native_task_name": "numberOfSubarrays:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [66, 94, 65, 3, 10, 97, -100, -38, -84, -16]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n ans = 0\n for x in list_1:\n while stk and stk[-1][0] < x:\n stk.pop()\n if not stk or stk[-1][0] > x:\n stk.append([x, 1])\n else:\n stk[-1][1] += 1\n ans += stk[-1][1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":9,\"native_task_name\":\"numberOfSubarrays:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/9/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 9, "target_native_task_name": "numberOfSubarrays:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-44, 12, 57, -9, -21, -21, 11, -23, 94, -89]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n ans = 0\n for x in list_1:\n while stk and stk[-1][0] < x:\n stk.pop()\n if not stk or stk[-1][0] > x:\n stk.append([x, 1])\n else:\n stk[-1][1] += 1\n ans += stk[-1][1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "11", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":9,\"native_task_name\":\"numberOfSubarrays:list\",\"output_value\":11}]"} {"id": "python/single_target_baseline/9/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 9, "target_native_task_name": "numberOfSubarrays:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-45, 10, 17, 66, 31, 29, 35, 76, -16, 88]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n ans = 0\n for x in list_1:\n while stk and stk[-1][0] < x:\n stk.pop()\n if not stk or stk[-1][0] > x:\n stk.append([x, 1])\n else:\n stk[-1][1] += 1\n ans += stk[-1][1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":9,\"native_task_name\":\"numberOfSubarrays:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/9/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 9, "target_native_task_name": "numberOfSubarrays:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [64, -96, -87, -37, 38, 65, 1, 15, 6, -30]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n ans = 0\n for x in list_1:\n while stk and stk[-1][0] < x:\n stk.pop()\n if not stk or stk[-1][0] > x:\n stk.append([x, 1])\n else:\n stk[-1][1] += 1\n ans += stk[-1][1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":9,\"native_task_name\":\"numberOfSubarrays:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/9/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 9, "target_native_task_name": "numberOfSubarrays:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-34, 40, -29, -96, 93, 69, 14, -85, -5, -97]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n ans = 0\n for x in list_1:\n while stk and stk[-1][0] < x:\n stk.pop()\n if not stk or stk[-1][0] > x:\n stk.append([x, 1])\n else:\n stk[-1][1] += 1\n ans += stk[-1][1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":9,\"native_task_name\":\"numberOfSubarrays:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/9/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 9, "target_native_task_name": "numberOfSubarrays:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-88, 8, 56, 83, -60, -90, -17, -39, 25, 100]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n ans = 0\n for x in list_1:\n while stk and stk[-1][0] < x:\n stk.pop()\n if not stk or stk[-1][0] > x:\n stk.append([x, 1])\n else:\n stk[-1][1] += 1\n ans += stk[-1][1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":9,\"native_task_name\":\"numberOfSubarrays:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/9/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 9, "target_native_task_name": "numberOfSubarrays:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [85, -22, -26, -87, -94, 52, 7, -92, -79, -71]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n ans = 0\n for x in list_1:\n while stk and stk[-1][0] < x:\n stk.pop()\n if not stk or stk[-1][0] > x:\n stk.append([x, 1])\n else:\n stk[-1][1] += 1\n ans += stk[-1][1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":9,\"native_task_name\":\"numberOfSubarrays:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/9/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 9, "target_native_task_name": "numberOfSubarrays:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [65, -49, 49, -8, 50, -30, -9, 27, 34, 58]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n ans = 0\n for x in list_1:\n while stk and stk[-1][0] < x:\n stk.pop()\n if not stk or stk[-1][0] > x:\n stk.append([x, 1])\n else:\n stk[-1][1] += 1\n ans += stk[-1][1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":9,\"native_task_name\":\"numberOfSubarrays:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/9/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 9, "target_native_task_name": "numberOfSubarrays:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [7, -68, 33, 1, -2, 70, 25, 83, 12, -71]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n ans = 0\n for x in list_1:\n while stk and stk[-1][0] < x:\n stk.pop()\n if not stk or stk[-1][0] > x:\n stk.append([x, 1])\n else:\n stk[-1][1] += 1\n ans += stk[-1][1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":9,\"native_task_name\":\"numberOfSubarrays:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/9/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 9, "target_native_task_name": "numberOfSubarrays:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-87, 35, 54, 63, 83, 34, -36, -97, 43, -16]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n ans = 0\n for x in list_1:\n while stk and stk[-1][0] < x:\n stk.pop()\n if not stk or stk[-1][0] > x:\n stk.append([x, 1])\n else:\n stk[-1][1] += 1\n ans += stk[-1][1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":9,\"native_task_name\":\"numberOfSubarrays:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/10/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 10, "target_native_task_name": "movesToMakeZigzag:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-26, -44, -67, 42, -96, -31, -26, 44, 13, -43]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = [0, 0]\n n = len(list_1)\n for i in range(2):\n for j in range(i, n, 2):\n d = 0\n if j:\n d = max(d, list_1[j] - list_1[j - 1] + 1)\n if j < n - 1:\n d = max(d, list_1[j] - list_1[j + 1] + 1)\n ans[i] += d\n python_result_1 = min(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "82", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":10,\"native_task_name\":\"movesToMakeZigzag:list\",\"output_value\":82}]"} {"id": "python/single_target_baseline/10/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 10, "target_native_task_name": "movesToMakeZigzag:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-81, 13, -22, -58, 73, -92, 99, -7, 22, -83]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = [0, 0]\n n = len(list_1)\n for i in range(2):\n for j in range(i, n, 2):\n d = 0\n if j:\n d = max(d, list_1[j] - list_1[j - 1] + 1)\n if j < n - 1:\n d = max(d, list_1[j] - list_1[j + 1] + 1)\n ans[i] += d\n python_result_1 = min(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "95", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":10,\"native_task_name\":\"movesToMakeZigzag:list\",\"output_value\":95}]"} {"id": "python/single_target_baseline/10/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 10, "target_native_task_name": "movesToMakeZigzag:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [30, -89, -98, -69, 59, 100, 82, -10, -62, 7]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = [0, 0]\n n = len(list_1)\n for i in range(2):\n for j in range(i, n, 2):\n d = 0\n if j:\n d = max(d, list_1[j] - list_1[j - 1] + 1)\n if j < n - 1:\n d = max(d, list_1[j] - list_1[j + 1] + 1)\n ans[i] += d\n python_result_1 = min(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "163", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":10,\"native_task_name\":\"movesToMakeZigzag:list\",\"output_value\":163}]"} {"id": "python/single_target_baseline/10/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 10, "target_native_task_name": "movesToMakeZigzag:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [85, 73, -89, 21, -2, 67, -86, -40, -23, 26]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = [0, 0]\n n = len(list_1)\n for i in range(2):\n for j in range(i, n, 2):\n d = 0\n if j:\n d = max(d, list_1[j] - list_1[j - 1] + 1)\n if j < n - 1:\n d = max(d, list_1[j] - list_1[j + 1] + 1)\n ans[i] += d\n python_result_1 = min(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "31", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":10,\"native_task_name\":\"movesToMakeZigzag:list\",\"output_value\":31}]"} {"id": "python/single_target_baseline/10/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 10, "target_native_task_name": "movesToMakeZigzag:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-100, 2, -60, 51, 33, -42, 54, 38, 94, 3]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = [0, 0]\n n = len(list_1)\n for i in range(2):\n for j in range(i, n, 2):\n d = 0\n if j:\n d = max(d, list_1[j] - list_1[j - 1] + 1)\n if j < n - 1:\n d = max(d, list_1[j] - list_1[j + 1] + 1)\n ans[i] += d\n python_result_1 = min(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "175", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":10,\"native_task_name\":\"movesToMakeZigzag:list\",\"output_value\":175}]"} {"id": "python/single_target_baseline/10/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 10, "target_native_task_name": "movesToMakeZigzag:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-31, 53, 92, 79, 50, 68, -94, -98, 99, 48]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = [0, 0]\n n = len(list_1)\n for i in range(2):\n for j in range(i, n, 2):\n d = 0\n if j:\n d = max(d, list_1[j] - list_1[j - 1] + 1)\n if j < n - 1:\n d = max(d, list_1[j] - list_1[j + 1] + 1)\n ans[i] += d\n python_result_1 = min(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "243", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":10,\"native_task_name\":\"movesToMakeZigzag:list\",\"output_value\":243}]"} {"id": "python/single_target_baseline/10/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 10, "target_native_task_name": "movesToMakeZigzag:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-13, -55, 44, -8, 38, -3, -13, 13, 6, -81]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = [0, 0]\n n = len(list_1)\n for i in range(2):\n for j in range(i, n, 2):\n d = 0\n if j:\n d = max(d, list_1[j] - list_1[j - 1] + 1)\n if j < n - 1:\n d = max(d, list_1[j] - list_1[j + 1] + 1)\n ans[i] += d\n python_result_1 = min(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "38", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":10,\"native_task_name\":\"movesToMakeZigzag:list\",\"output_value\":38}]"} {"id": "python/single_target_baseline/10/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 10, "target_native_task_name": "movesToMakeZigzag:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-84, 23, -69, 94, 25, -43, -81, -73, -56, 24]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = [0, 0]\n n = len(list_1)\n for i in range(2):\n for j in range(i, n, 2):\n d = 0\n if j:\n d = max(d, list_1[j] - list_1[j - 1] + 1)\n if j < n - 1:\n d = max(d, list_1[j] - list_1[j + 1] + 1)\n ans[i] += d\n python_result_1 = min(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "87", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":10,\"native_task_name\":\"movesToMakeZigzag:list\",\"output_value\":87}]"} {"id": "python/single_target_baseline/10/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 10, "target_native_task_name": "movesToMakeZigzag:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-35, 69, 86, 30, -20, -20, 66, -2, 57, -23]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = [0, 0]\n n = len(list_1)\n for i in range(2):\n for j in range(i, n, 2):\n d = 0\n if j:\n d = max(d, list_1[j] - list_1[j - 1] + 1)\n if j < n - 1:\n d = max(d, list_1[j] - list_1[j + 1] + 1)\n ans[i] += d\n python_result_1 = min(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "157", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":10,\"native_task_name\":\"movesToMakeZigzag:list\",\"output_value\":157}]"} {"id": "python/single_target_baseline/10/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 10, "target_native_task_name": "movesToMakeZigzag:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-64, -27, 79, -37, 9, 42, 58, -2, 79, 86]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = [0, 0]\n n = len(list_1)\n for i in range(2):\n for j in range(i, n, 2):\n d = 0\n if j:\n d = max(d, list_1[j] - list_1[j - 1] + 1)\n if j < n - 1:\n d = max(d, list_1[j] - list_1[j + 1] + 1)\n ans[i] += d\n python_result_1 = min(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "80", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":10,\"native_task_name\":\"movesToMakeZigzag:list\",\"output_value\":80}]"} {"id": "python/single_target_baseline/10/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 10, "target_native_task_name": "movesToMakeZigzag:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [87, -49, -12, 83, -27, 6, 53, -81, 68, -36]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = [0, 0]\n n = len(list_1)\n for i in range(2):\n for j in range(i, n, 2):\n d = 0\n if j:\n d = max(d, list_1[j] - list_1[j - 1] + 1)\n if j < n - 1:\n d = max(d, list_1[j] - list_1[j + 1] + 1)\n ans[i] += d\n python_result_1 = min(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "145", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":10,\"native_task_name\":\"movesToMakeZigzag:list\",\"output_value\":145}]"} {"id": "python/single_target_baseline/10/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 10, "target_native_task_name": "movesToMakeZigzag:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [24, -19, 57, -46, -27, 38, 32, -96, -69, 45]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = [0, 0]\n n = len(list_1)\n for i in range(2):\n for j in range(i, n, 2):\n d = 0\n if j:\n d = max(d, list_1[j] - list_1[j - 1] + 1)\n if j < n - 1:\n d = max(d, list_1[j] - list_1[j + 1] + 1)\n ans[i] += d\n python_result_1 = min(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "181", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":10,\"native_task_name\":\"movesToMakeZigzag:list\",\"output_value\":181}]"} {"id": "python/single_target_baseline/10/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 10, "target_native_task_name": "movesToMakeZigzag:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-4, -92, -14, -65, 5, 33, -97, 62, 37, 29]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = [0, 0]\n n = len(list_1)\n for i in range(2):\n for j in range(i, n, 2):\n d = 0\n if j:\n d = max(d, list_1[j] - list_1[j - 1] + 1)\n if j < n - 1:\n d = max(d, list_1[j] - list_1[j + 1] + 1)\n ans[i] += d\n python_result_1 = min(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "248", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":10,\"native_task_name\":\"movesToMakeZigzag:list\",\"output_value\":248}]"} {"id": "python/single_target_baseline/10/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 10, "target_native_task_name": "movesToMakeZigzag:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-62, 77, -66, 65, -60, 10, -81, 70, 20, -65]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = [0, 0]\n n = len(list_1)\n for i in range(2):\n for j in range(i, n, 2):\n d = 0\n if j:\n d = max(d, list_1[j] - list_1[j - 1] + 1)\n if j < n - 1:\n d = max(d, list_1[j] - list_1[j + 1] + 1)\n ans[i] += d\n python_result_1 = min(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "86", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":10,\"native_task_name\":\"movesToMakeZigzag:list\",\"output_value\":86}]"} {"id": "python/single_target_baseline/10/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 10, "target_native_task_name": "movesToMakeZigzag:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [85, -4, -2, -57, -58, 65, 11, -54, 90, 97]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = [0, 0]\n n = len(list_1)\n for i in range(2):\n for j in range(i, n, 2):\n d = 0\n if j:\n d = max(d, list_1[j] - list_1[j - 1] + 1)\n if j < n - 1:\n d = max(d, list_1[j] - list_1[j + 1] + 1)\n ans[i] += d\n python_result_1 = min(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "134", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":10,\"native_task_name\":\"movesToMakeZigzag:list\",\"output_value\":134}]"} {"id": "python/single_target_baseline/10/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 10, "target_native_task_name": "movesToMakeZigzag:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-53, 38, 61, 9, -45, -71, 94, 87, -75, -89]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = [0, 0]\n n = len(list_1)\n for i in range(2):\n for j in range(i, n, 2):\n d = 0\n if j:\n d = max(d, list_1[j] - list_1[j - 1] + 1)\n if j < n - 1:\n d = max(d, list_1[j] - list_1[j + 1] + 1)\n ans[i] += d\n python_result_1 = min(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "261", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":10,\"native_task_name\":\"movesToMakeZigzag:list\",\"output_value\":261}]"} {"id": "python/single_target_baseline/11/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 11, "target_native_task_name": "findMaximums:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [55, 89, 59, -38, 10, 43, 82, 82, 68, -61]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n ans = [0] * n\n for i in range(n):\n m = right[i] - left[i] - 1\n ans[m - 1] = max(ans[m - 1], list_1[i])\n for i in range(n - 2, -1, -1):\n ans[i] = max(ans[i], ans[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[89,82,68,43,10,0,0,0,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":11,\"native_task_name\":\"findMaximums:list\",\"output_value\":[89,82,68,43,10,0,0,0,0,0]}]"} {"id": "python/single_target_baseline/11/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 11, "target_native_task_name": "findMaximums:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-33, -40, 90, 36, 76, 26, 7, -31, 96, 17]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n ans = [0] * n\n for i in range(n):\n m = right[i] - left[i] - 1\n ans[m - 1] = max(ans[m - 1], list_1[i])\n for i in range(n - 2, -1, -1):\n ans[i] = max(ans[i], ans[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[96,36,36,26,7,0,0,0,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":11,\"native_task_name\":\"findMaximums:list\",\"output_value\":[96,36,36,26,7,0,0,0,0,0]}]"} {"id": "python/single_target_baseline/11/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 11, "target_native_task_name": "findMaximums:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-16, 87, 85, -34, 28, 75, 34, 16, 93, -98]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n ans = [0] * n\n for i in range(n):\n m = right[i] - left[i] - 1\n ans[m - 1] = max(ans[m - 1], list_1[i])\n for i in range(n - 2, -1, -1):\n ans[i] = max(ans[i], ans[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[93,85,28,16,16,0,0,0,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":11,\"native_task_name\":\"findMaximums:list\",\"output_value\":[93,85,28,16,16,0,0,0,0,0]}]"} {"id": "python/single_target_baseline/11/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 11, "target_native_task_name": "findMaximums:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-80, 44, 32, 51, 71, 74, 21, -22, 33, 9]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n ans = [0] * n\n for i in range(n):\n m = right[i] - left[i] - 1\n ans[m - 1] = max(ans[m - 1], list_1[i])\n for i in range(n - 2, -1, -1):\n ans[i] = max(ans[i], ans[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[74,71,51,32,32,21,0,0,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":11,\"native_task_name\":\"findMaximums:list\",\"output_value\":[74,71,51,32,32,21,0,0,0,0]}]"} {"id": "python/single_target_baseline/11/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 11, "target_native_task_name": "findMaximums:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [86, 68, 18, 23, 98, -37, -83, -79, 36, 4]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n ans = [0] * n\n for i in range(n):\n m = right[i] - left[i] - 1\n ans[m - 1] = max(ans[m - 1], list_1[i])\n for i in range(n - 2, -1, -1):\n ans[i] = max(ans[i], ans[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[98,68,18,18,18,0,0,0,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":11,\"native_task_name\":\"findMaximums:list\",\"output_value\":[98,68,18,18,18,0,0,0,0,0]}]"} {"id": "python/single_target_baseline/11/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 11, "target_native_task_name": "findMaximums:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-56, -13, -73, 47, 68, 12, 78, 95, -97, 85]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n ans = [0] * n\n for i in range(n):\n m = right[i] - left[i] - 1\n ans[m - 1] = max(ans[m - 1], list_1[i])\n for i in range(n - 2, -1, -1):\n ans[i] = max(ans[i], ans[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[95,78,12,12,12,0,0,0,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":11,\"native_task_name\":\"findMaximums:list\",\"output_value\":[95,78,12,12,12,0,0,0,0,0]}]"} {"id": "python/single_target_baseline/11/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 11, "target_native_task_name": "findMaximums:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-53, 22, 52, 2, 24, 57, -55, -7, -37, 57]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n ans = [0] * n\n for i in range(n):\n m = right[i] - left[i] - 1\n ans[m - 1] = max(ans[m - 1], list_1[i])\n for i in range(n - 2, -1, -1):\n ans[i] = max(ans[i], ans[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[57,24,2,2,2,0,0,0,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":11,\"native_task_name\":\"findMaximums:list\",\"output_value\":[57,24,2,2,2,0,0,0,0,0]}]"} {"id": "python/single_target_baseline/11/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 11, "target_native_task_name": "findMaximums:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [84, 39, -68, 41, 7, 17, 81, 88, 18, -82]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n ans = [0] * n\n for i in range(n):\n m = right[i] - left[i] - 1\n ans[m - 1] = max(ans[m - 1], list_1[i])\n for i in range(n - 2, -1, -1):\n ans[i] = max(ans[i], ans[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[88,81,18,17,7,7,0,0,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":11,\"native_task_name\":\"findMaximums:list\",\"output_value\":[88,81,18,17,7,7,0,0,0,0]}]"} {"id": "python/single_target_baseline/11/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 11, "target_native_task_name": "findMaximums:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-77, -2, -46, 53, 52, 51, 59, 42, 13, 69]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n ans = [0] * n\n for i in range(n):\n m = right[i] - left[i] - 1\n ans[m - 1] = max(ans[m - 1], list_1[i])\n for i in range(n - 2, -1, -1):\n ans[i] = max(ans[i], ans[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[69,52,51,51,42,13,13,0,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":11,\"native_task_name\":\"findMaximums:list\",\"output_value\":[69,52,51,51,42,13,13,0,0,0]}]"} {"id": "python/single_target_baseline/11/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 11, "target_native_task_name": "findMaximums:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [80, -60, 45, -31, -72, 64, 19, 59, 30, 38]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n ans = [0] * n\n for i in range(n):\n m = right[i] - left[i] - 1\n ans[m - 1] = max(ans[m - 1], list_1[i])\n for i in range(n - 2, -1, -1):\n ans[i] = max(ans[i], ans[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[80,30,30,19,19,0,0,0,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":11,\"native_task_name\":\"findMaximums:list\",\"output_value\":[80,30,30,19,19,0,0,0,0,0]}]"} {"id": "python/single_target_baseline/11/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 11, "target_native_task_name": "findMaximums:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [95, 5, 28, 80, 56, 3, -32, 8, 35, 49]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n ans = [0] * n\n for i in range(n):\n m = right[i] - left[i] - 1\n ans[m - 1] = max(ans[m - 1], list_1[i])\n for i in range(n - 2, -1, -1):\n ans[i] = max(ans[i], ans[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[95,56,28,5,5,3,0,0,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":11,\"native_task_name\":\"findMaximums:list\",\"output_value\":[95,56,28,5,5,3,0,0,0,0]}]"} {"id": "python/single_target_baseline/11/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 11, "target_native_task_name": "findMaximums:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-17, -16, 8, 12, 99, 32, 65, 53, 22, 12]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n ans = [0] * n\n for i in range(n):\n m = right[i] - left[i] - 1\n ans[m - 1] = max(ans[m - 1], list_1[i])\n for i in range(n - 2, -1, -1):\n ans[i] = max(ans[i], ans[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[99,53,32,32,22,12,12,8,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":11,\"native_task_name\":\"findMaximums:list\",\"output_value\":[99,53,32,32,22,12,12,8,0,0]}]"} {"id": "python/single_target_baseline/11/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 11, "target_native_task_name": "findMaximums:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [64, -6, 98, 43, 22, 89, 68, -68, -78, -3]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n ans = [0] * n\n for i in range(n):\n m = right[i] - left[i] - 1\n ans[m - 1] = max(ans[m - 1], list_1[i])\n for i in range(n - 2, -1, -1):\n ans[i] = max(ans[i], ans[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[98,68,22,22,22,0,0,0,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":11,\"native_task_name\":\"findMaximums:list\",\"output_value\":[98,68,22,22,22,0,0,0,0,0]}]"} {"id": "python/single_target_baseline/11/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 11, "target_native_task_name": "findMaximums:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-86, 7, 16, -80, 18, 83, 29, 72, 66, -4]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n ans = [0] * n\n for i in range(n):\n m = right[i] - left[i] - 1\n ans[m - 1] = max(ans[m - 1], list_1[i])\n for i in range(n - 2, -1, -1):\n ans[i] = max(ans[i], ans[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[83,66,29,29,18,0,0,0,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":11,\"native_task_name\":\"findMaximums:list\",\"output_value\":[83,66,29,29,18,0,0,0,0,0]}]"} {"id": "python/single_target_baseline/11/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 11, "target_native_task_name": "findMaximums:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [66, 55, 29, 82, 93, -42, 53, 42, 50, 95]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n ans = [0] * n\n for i in range(n):\n m = right[i] - left[i] - 1\n ans[m - 1] = max(ans[m - 1], list_1[i])\n for i in range(n - 2, -1, -1):\n ans[i] = max(ans[i], ans[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[95,82,42,42,29,0,0,0,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":11,\"native_task_name\":\"findMaximums:list\",\"output_value\":[95,82,42,42,29,0,0,0,0,0]}]"} {"id": "python/single_target_baseline/11/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 11, "target_native_task_name": "findMaximums:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-11, 37, 70, 79, 81, 6, 72, -87, -39, -37]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n ans = [0] * n\n for i in range(n):\n m = right[i] - left[i] - 1\n ans[m - 1] = max(ans[m - 1], list_1[i])\n for i in range(n - 2, -1, -1):\n ans[i] = max(ans[i], ans[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[81,79,70,37,6,6,0,0,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":11,\"native_task_name\":\"findMaximums:list\",\"output_value\":[81,79,70,37,6,6,0,0,0,0]}]"} {"id": "python/single_target_baseline/12/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 12, "target_native_task_name": "countHillValley:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [68, 37, 5, -70, -20, -46, -83, -10, 48, -36]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = j = 0\n for i in range(1, len(list_1) - 1):\n if list_1[i] == list_1[i + 1]:\n continue\n if list_1[i] > list_1[j] and list_1[i] > list_1[i + 1]:\n ans += 1\n if list_1[i] < list_1[j] and list_1[i] < list_1[i + 1]:\n ans += 1\n j = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":12,\"native_task_name\":\"countHillValley:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/12/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 12, "target_native_task_name": "countHillValley:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-19, 37, 0, -32, -73, 77, -86, 99, -28, -85]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = j = 0\n for i in range(1, len(list_1) - 1):\n if list_1[i] == list_1[i + 1]:\n continue\n if list_1[i] > list_1[j] and list_1[i] > list_1[i + 1]:\n ans += 1\n if list_1[i] < list_1[j] and list_1[i] < list_1[i + 1]:\n ans += 1\n j = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":12,\"native_task_name\":\"countHillValley:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/12/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 12, "target_native_task_name": "countHillValley:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-26, -23, 49, 44, 92, 32, -47, 91, -59, 49]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = j = 0\n for i in range(1, len(list_1) - 1):\n if list_1[i] == list_1[i + 1]:\n continue\n if list_1[i] > list_1[j] and list_1[i] > list_1[i + 1]:\n ans += 1\n if list_1[i] < list_1[j] and list_1[i] < list_1[i + 1]:\n ans += 1\n j = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":12,\"native_task_name\":\"countHillValley:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/12/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 12, "target_native_task_name": "countHillValley:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-84, 51, -76, 1, 92, -22, -46, -16, -61, -75]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = j = 0\n for i in range(1, len(list_1) - 1):\n if list_1[i] == list_1[i + 1]:\n continue\n if list_1[i] > list_1[j] and list_1[i] > list_1[i + 1]:\n ans += 1\n if list_1[i] < list_1[j] and list_1[i] < list_1[i + 1]:\n ans += 1\n j = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":12,\"native_task_name\":\"countHillValley:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/12/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 12, "target_native_task_name": "countHillValley:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [47, -40, 54, 76, -8, 75, -29, 34, 63, -14]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = j = 0\n for i in range(1, len(list_1) - 1):\n if list_1[i] == list_1[i + 1]:\n continue\n if list_1[i] > list_1[j] and list_1[i] > list_1[i + 1]:\n ans += 1\n if list_1[i] < list_1[j] and list_1[i] < list_1[i + 1]:\n ans += 1\n j = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":12,\"native_task_name\":\"countHillValley:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/12/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 12, "target_native_task_name": "countHillValley:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-79, 73, 97, 55, -26, 15, 14, 25, -88, 2]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = j = 0\n for i in range(1, len(list_1) - 1):\n if list_1[i] == list_1[i + 1]:\n continue\n if list_1[i] > list_1[j] and list_1[i] > list_1[i + 1]:\n ans += 1\n if list_1[i] < list_1[j] and list_1[i] < list_1[i + 1]:\n ans += 1\n j = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":12,\"native_task_name\":\"countHillValley:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/12/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 12, "target_native_task_name": "countHillValley:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [53, -33, -42, -85, -4, -68, -90, 6, 43, -93]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = j = 0\n for i in range(1, len(list_1) - 1):\n if list_1[i] == list_1[i + 1]:\n continue\n if list_1[i] > list_1[j] and list_1[i] > list_1[i + 1]:\n ans += 1\n if list_1[i] < list_1[j] and list_1[i] < list_1[i + 1]:\n ans += 1\n j = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":12,\"native_task_name\":\"countHillValley:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/12/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 12, "target_native_task_name": "countHillValley:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-36, -100, 7, 36, -73, 37, -54, -64, 5, -26]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = j = 0\n for i in range(1, len(list_1) - 1):\n if list_1[i] == list_1[i + 1]:\n continue\n if list_1[i] > list_1[j] and list_1[i] > list_1[i + 1]:\n ans += 1\n if list_1[i] < list_1[j] and list_1[i] < list_1[i + 1]:\n ans += 1\n j = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":12,\"native_task_name\":\"countHillValley:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/12/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 12, "target_native_task_name": "countHillValley:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [46, 8, 30, 5, 81, -9, 12, -94, -4, 98]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = j = 0\n for i in range(1, len(list_1) - 1):\n if list_1[i] == list_1[i + 1]:\n continue\n if list_1[i] > list_1[j] and list_1[i] > list_1[i + 1]:\n ans += 1\n if list_1[i] < list_1[j] and list_1[i] < list_1[i + 1]:\n ans += 1\n j = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":12,\"native_task_name\":\"countHillValley:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/12/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 12, "target_native_task_name": "countHillValley:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-98, -87, -50, -66, -6, -12, -5, 43, 29, -10]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = j = 0\n for i in range(1, len(list_1) - 1):\n if list_1[i] == list_1[i + 1]:\n continue\n if list_1[i] > list_1[j] and list_1[i] > list_1[i + 1]:\n ans += 1\n if list_1[i] < list_1[j] and list_1[i] < list_1[i + 1]:\n ans += 1\n j = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":12,\"native_task_name\":\"countHillValley:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/12/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 12, "target_native_task_name": "countHillValley:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [0, -86, 40, 66, -65, 15, -40, 11, 38, -16]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = j = 0\n for i in range(1, len(list_1) - 1):\n if list_1[i] == list_1[i + 1]:\n continue\n if list_1[i] > list_1[j] and list_1[i] > list_1[i + 1]:\n ans += 1\n if list_1[i] < list_1[j] and list_1[i] < list_1[i + 1]:\n ans += 1\n j = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":12,\"native_task_name\":\"countHillValley:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/12/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 12, "target_native_task_name": "countHillValley:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [64, 53, 82, -44, -33, -69, 25, 24, -5, -95]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = j = 0\n for i in range(1, len(list_1) - 1):\n if list_1[i] == list_1[i + 1]:\n continue\n if list_1[i] > list_1[j] and list_1[i] > list_1[i + 1]:\n ans += 1\n if list_1[i] < list_1[j] and list_1[i] < list_1[i + 1]:\n ans += 1\n j = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":12,\"native_task_name\":\"countHillValley:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/12/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 12, "target_native_task_name": "countHillValley:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-34, -28, -77, 98, 46, 68, -52, -67, 34, 30]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = j = 0\n for i in range(1, len(list_1) - 1):\n if list_1[i] == list_1[i + 1]:\n continue\n if list_1[i] > list_1[j] and list_1[i] > list_1[i + 1]:\n ans += 1\n if list_1[i] < list_1[j] and list_1[i] < list_1[i + 1]:\n ans += 1\n j = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":12,\"native_task_name\":\"countHillValley:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/12/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 12, "target_native_task_name": "countHillValley:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [3, -84, 86, -23, 69, 40, 65, -52, 30, -29]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = j = 0\n for i in range(1, len(list_1) - 1):\n if list_1[i] == list_1[i + 1]:\n continue\n if list_1[i] > list_1[j] and list_1[i] > list_1[i + 1]:\n ans += 1\n if list_1[i] < list_1[j] and list_1[i] < list_1[i + 1]:\n ans += 1\n j = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":12,\"native_task_name\":\"countHillValley:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/12/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 12, "target_native_task_name": "countHillValley:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [24, -84, 33, -30, -85, -30, 3, -83, 10, 68]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = j = 0\n for i in range(1, len(list_1) - 1):\n if list_1[i] == list_1[i + 1]:\n continue\n if list_1[i] > list_1[j] and list_1[i] > list_1[i + 1]:\n ans += 1\n if list_1[i] < list_1[j] and list_1[i] < list_1[i + 1]:\n ans += 1\n j = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":12,\"native_task_name\":\"countHillValley:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/12/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 12, "target_native_task_name": "countHillValley:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-93, -21, -45, -74, 67, 59, 33, 17, -4, -41]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = j = 0\n for i in range(1, len(list_1) - 1):\n if list_1[i] == list_1[i + 1]:\n continue\n if list_1[i] > list_1[j] and list_1[i] > list_1[i + 1]:\n ans += 1\n if list_1[i] < list_1[j] and list_1[i] < list_1[i + 1]:\n ans += 1\n j = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":12,\"native_task_name\":\"countHillValley:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/13/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 13, "target_native_task_name": "minOperations:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-27, 55, -19, 16, 63, -53, -42, -16, 7, 64]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [49, -42, -90, -40, 3, 41, 94, -48, -94, -67].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n (s1, s2) = (sum(list_1), sum(nums2))\n if s1 == s2:\n python_result_1 = 0\n return python_result_1\n if s1 > s2:\n python_result_1 = task_1(nums2, list_1)\n return python_result_1\n arr = [6 - v for v in list_1] + [v - 1 for v in nums2]\n d = s2 - s1\n for (i, v) in enumerate(sorted(arr, reverse=True), 1):\n d -= v\n if d <= 0:\n python_result_1 = i\n return python_result_1\n python_result_1 = -1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":13,\"native_task_name\":\"minOperations:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/13/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 13, "target_native_task_name": "minOperations:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [71, -46, 21, 43, -97, 7, -8, 55, -12, -6]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [25, -36, -90, 35, -10, 20, -97, 1, -2, -57].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n (s1, s2) = (sum(list_1), sum(nums2))\n if s1 == s2:\n python_result_1 = 0\n return python_result_1\n if s1 > s2:\n python_result_1 = task_1(nums2, list_1)\n return python_result_1\n arr = [6 - v for v in list_1] + [v - 1 for v in nums2]\n d = s2 - s1\n for (i, v) in enumerate(sorted(arr, reverse=True), 1):\n d -= v\n if d <= 0:\n python_result_1 = i\n return python_result_1\n python_result_1 = -1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":13,\"native_task_name\":\"minOperations:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/13/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 13, "target_native_task_name": "minOperations:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-21, 86, 94, -42, -50, 27, -9, 72, 26, -29]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-83, 1, -84, 27, 67, 15, 3, -18, 14, 60].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n (s1, s2) = (sum(list_1), sum(nums2))\n if s1 == s2:\n python_result_1 = 0\n return python_result_1\n if s1 > s2:\n python_result_1 = task_1(nums2, list_1)\n return python_result_1\n arr = [6 - v for v in list_1] + [v - 1 for v in nums2]\n d = s2 - s1\n for (i, v) in enumerate(sorted(arr, reverse=True), 1):\n d -= v\n if d <= 0:\n python_result_1 = i\n return python_result_1\n python_result_1 = -1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":13,\"native_task_name\":\"minOperations:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/13/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 13, "target_native_task_name": "minOperations:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [22, -5, -62, -91, -14, -15, -88, -88, -19, 25]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [43, -5, 68, 85, -68, -33, 96, -50, -76, 65].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n (s1, s2) = (sum(list_1), sum(nums2))\n if s1 == s2:\n python_result_1 = 0\n return python_result_1\n if s1 > s2:\n python_result_1 = task_1(nums2, list_1)\n return python_result_1\n arr = [6 - v for v in list_1] + [v - 1 for v in nums2]\n d = s2 - s1\n for (i, v) in enumerate(sorted(arr, reverse=True), 1):\n d -= v\n if d <= 0:\n python_result_1 = i\n return python_result_1\n python_result_1 = -1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":13,\"native_task_name\":\"minOperations:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/13/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 13, "target_native_task_name": "minOperations:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [58, -12, 48, -37, -91, 42, -19, -27, -1, -79]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [8, -12, 54, 27, 13, 23, 48, 5, -25, 96].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n (s1, s2) = (sum(list_1), sum(nums2))\n if s1 == s2:\n python_result_1 = 0\n return python_result_1\n if s1 > s2:\n python_result_1 = task_1(nums2, list_1)\n return python_result_1\n arr = [6 - v for v in list_1] + [v - 1 for v in nums2]\n d = s2 - s1\n for (i, v) in enumerate(sorted(arr, reverse=True), 1):\n d -= v\n if d <= 0:\n python_result_1 = i\n return python_result_1\n python_result_1 = -1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":13,\"native_task_name\":\"minOperations:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/13/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 13, "target_native_task_name": "minOperations:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [89, 79, -66, 71, 7, -32, -79, -68, 58, -90]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [60, 92, -100, 68, 87, 11, 88, 83, -89, 39].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n (s1, s2) = (sum(list_1), sum(nums2))\n if s1 == s2:\n python_result_1 = 0\n return python_result_1\n if s1 > s2:\n python_result_1 = task_1(nums2, list_1)\n return python_result_1\n arr = [6 - v for v in list_1] + [v - 1 for v in nums2]\n d = s2 - s1\n for (i, v) in enumerate(sorted(arr, reverse=True), 1):\n d -= v\n if d <= 0:\n python_result_1 = i\n return python_result_1\n python_result_1 = -1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":13,\"native_task_name\":\"minOperations:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/13/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 13, "target_native_task_name": "minOperations:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [42, 71, 13, -97, -36, -83, -35, 35, 55, -59]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-71, -31, -88, 61, 32, 11, -39, 52, 8, 94].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n (s1, s2) = (sum(list_1), sum(nums2))\n if s1 == s2:\n python_result_1 = 0\n return python_result_1\n if s1 > s2:\n python_result_1 = task_1(nums2, list_1)\n return python_result_1\n arr = [6 - v for v in list_1] + [v - 1 for v in nums2]\n d = s2 - s1\n for (i, v) in enumerate(sorted(arr, reverse=True), 1):\n d -= v\n if d <= 0:\n python_result_1 = i\n return python_result_1\n python_result_1 = -1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":13,\"native_task_name\":\"minOperations:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/13/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 13, "target_native_task_name": "minOperations:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-86, 64, -49, 52, 29, 56, -2, -18, 66, -89]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [74, 77, -92, -20, -40, -84, -48, -89, 29, -67].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n (s1, s2) = (sum(list_1), sum(nums2))\n if s1 == s2:\n python_result_1 = 0\n return python_result_1\n if s1 > s2:\n python_result_1 = task_1(nums2, list_1)\n return python_result_1\n arr = [6 - v for v in list_1] + [v - 1 for v in nums2]\n d = s2 - s1\n for (i, v) in enumerate(sorted(arr, reverse=True), 1):\n d -= v\n if d <= 0:\n python_result_1 = i\n return python_result_1\n python_result_1 = -1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":13,\"native_task_name\":\"minOperations:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/13/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 13, "target_native_task_name": "minOperations:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [79, -2, 10, 30, -24, 71, 47, 74, 88, 54]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-57, 35, 85, 76, 65, 38, 5, -51, -67, 38].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n (s1, s2) = (sum(list_1), sum(nums2))\n if s1 == s2:\n python_result_1 = 0\n return python_result_1\n if s1 > s2:\n python_result_1 = task_1(nums2, list_1)\n return python_result_1\n arr = [6 - v for v in list_1] + [v - 1 for v in nums2]\n d = s2 - s1\n for (i, v) in enumerate(sorted(arr, reverse=True), 1):\n d -= v\n if d <= 0:\n python_result_1 = i\n return python_result_1\n python_result_1 = -1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":13,\"native_task_name\":\"minOperations:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/13/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 13, "target_native_task_name": "minOperations:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-36, -24, 59, 33, 4, 16, 41, 69, 22, 68]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [60, 24, 84, -25, 83, -92, -12, 6, -34, 31].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n (s1, s2) = (sum(list_1), sum(nums2))\n if s1 == s2:\n python_result_1 = 0\n return python_result_1\n if s1 > s2:\n python_result_1 = task_1(nums2, list_1)\n return python_result_1\n arr = [6 - v for v in list_1] + [v - 1 for v in nums2]\n d = s2 - s1\n for (i, v) in enumerate(sorted(arr, reverse=True), 1):\n d -= v\n if d <= 0:\n python_result_1 = i\n return python_result_1\n python_result_1 = -1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":13,\"native_task_name\":\"minOperations:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/13/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 13, "target_native_task_name": "minOperations:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [0, -79, -42, -9, -28, -13, 46, 86, 67, 88]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-75, -15, -2, 100, -22, -5, -85, -37, 72, -16].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n (s1, s2) = (sum(list_1), sum(nums2))\n if s1 == s2:\n python_result_1 = 0\n return python_result_1\n if s1 > s2:\n python_result_1 = task_1(nums2, list_1)\n return python_result_1\n arr = [6 - v for v in list_1] + [v - 1 for v in nums2]\n d = s2 - s1\n for (i, v) in enumerate(sorted(arr, reverse=True), 1):\n d -= v\n if d <= 0:\n python_result_1 = i\n return python_result_1\n python_result_1 = -1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":13,\"native_task_name\":\"minOperations:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/13/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 13, "target_native_task_name": "minOperations:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [53, -8, -89, 5, 14, 7, -69, 90, 2, -88]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [34, 10, 87, -8, -19, 25, -66, 65, 32, 31].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n (s1, s2) = (sum(list_1), sum(nums2))\n if s1 == s2:\n python_result_1 = 0\n return python_result_1\n if s1 > s2:\n python_result_1 = task_1(nums2, list_1)\n return python_result_1\n arr = [6 - v for v in list_1] + [v - 1 for v in nums2]\n d = s2 - s1\n for (i, v) in enumerate(sorted(arr, reverse=True), 1):\n d -= v\n if d <= 0:\n python_result_1 = i\n return python_result_1\n python_result_1 = -1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":13,\"native_task_name\":\"minOperations:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/13/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 13, "target_native_task_name": "minOperations:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [31, 13, 52, 38, 74, 71, 71, 27, 52, -49]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-35, 29, -50, 11, -32, 87, 22, -12, -45, -52].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n (s1, s2) = (sum(list_1), sum(nums2))\n if s1 == s2:\n python_result_1 = 0\n return python_result_1\n if s1 > s2:\n python_result_1 = task_1(nums2, list_1)\n return python_result_1\n arr = [6 - v for v in list_1] + [v - 1 for v in nums2]\n d = s2 - s1\n for (i, v) in enumerate(sorted(arr, reverse=True), 1):\n d -= v\n if d <= 0:\n python_result_1 = i\n return python_result_1\n python_result_1 = -1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":13,\"native_task_name\":\"minOperations:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/13/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 13, "target_native_task_name": "minOperations:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [99, 60, -26, -13, -5, 38, 60, 15, 70, -30]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-37, 20, 77, -51, -56, 42, -48, -86, 10, 58].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n (s1, s2) = (sum(list_1), sum(nums2))\n if s1 == s2:\n python_result_1 = 0\n return python_result_1\n if s1 > s2:\n python_result_1 = task_1(nums2, list_1)\n return python_result_1\n arr = [6 - v for v in list_1] + [v - 1 for v in nums2]\n d = s2 - s1\n for (i, v) in enumerate(sorted(arr, reverse=True), 1):\n d -= v\n if d <= 0:\n python_result_1 = i\n return python_result_1\n python_result_1 = -1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":13,\"native_task_name\":\"minOperations:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/13/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 13, "target_native_task_name": "minOperations:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [7, 83, -46, 22, -63, -1, 61, 24, 34, 7]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-7, 2, 67, 93, -63, 90, 50, -29, 53, -4].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n (s1, s2) = (sum(list_1), sum(nums2))\n if s1 == s2:\n python_result_1 = 0\n return python_result_1\n if s1 > s2:\n python_result_1 = task_1(nums2, list_1)\n return python_result_1\n arr = [6 - v for v in list_1] + [v - 1 for v in nums2]\n d = s2 - s1\n for (i, v) in enumerate(sorted(arr, reverse=True), 1):\n d -= v\n if d <= 0:\n python_result_1 = i\n return python_result_1\n python_result_1 = -1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":13,\"native_task_name\":\"minOperations:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/13/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 13, "target_native_task_name": "minOperations:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-68, 56, 71, -15, 61, -84, -17, -41, -16, -86]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [56, -62, 11, -16, 31, 31, -37, -66, -55, 82].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n (s1, s2) = (sum(list_1), sum(nums2))\n if s1 == s2:\n python_result_1 = 0\n return python_result_1\n if s1 > s2:\n python_result_1 = task_1(nums2, list_1)\n return python_result_1\n arr = [6 - v for v in list_1] + [v - 1 for v in nums2]\n d = s2 - s1\n for (i, v) in enumerate(sorted(arr, reverse=True), 1):\n d -= v\n if d <= 0:\n python_result_1 = i\n return python_result_1\n python_result_1 = -1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":13,\"native_task_name\":\"minOperations:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/14/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 14, "target_native_task_name": "maximumSum:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-9, 8, -51, 74, 26, -16, 55, -51, 13, 77]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 0\n for k in range(1, n + 1):\n t = 0\n j = 1\n while k * j * j <= n:\n t += list_1[k * j * j - 1]\n j += 1\n ans = max(ans, t)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "78", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":14,\"native_task_name\":\"maximumSum:list\",\"output_value\":78}]"} {"id": "python/single_target_baseline/14/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 14, "target_native_task_name": "maximumSum:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [47, -92, -1, 83, -57, 18, 99, 51, 29, 52]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 0\n for k in range(1, n + 1):\n t = 0\n j = 1\n while k * j * j <= n:\n t += list_1[k * j * j - 1]\n j += 1\n ans = max(ans, t)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "159", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":14,\"native_task_name\":\"maximumSum:list\",\"output_value\":159}]"} {"id": "python/single_target_baseline/14/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 14, "target_native_task_name": "maximumSum:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [22, -16, 56, 97, 90, -68, -86, -29, 90, -56]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 0\n for k in range(1, n + 1):\n t = 0\n j = 1\n while k * j * j <= n:\n t += list_1[k * j * j - 1]\n j += 1\n ans = max(ans, t)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "209", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":14,\"native_task_name\":\"maximumSum:list\",\"output_value\":209}]"} {"id": "python/single_target_baseline/14/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 14, "target_native_task_name": "maximumSum:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-50, -23, -69, 14, 21, -28, 6, -45, -2, -99]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 0\n for k in range(1, n + 1):\n t = 0\n j = 1\n while k * j * j <= n:\n t += list_1[k * j * j - 1]\n j += 1\n ans = max(ans, t)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "21", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":14,\"native_task_name\":\"maximumSum:list\",\"output_value\":21}]"} {"id": "python/single_target_baseline/14/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 14, "target_native_task_name": "maximumSum:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [26, 26, -66, -75, 64, 62, -66, 74, -25, 61]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 0\n for k in range(1, n + 1):\n t = 0\n j = 1\n while k * j * j <= n:\n t += list_1[k * j * j - 1]\n j += 1\n ans = max(ans, t)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "100", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":14,\"native_task_name\":\"maximumSum:list\",\"output_value\":100}]"} {"id": "python/single_target_baseline/14/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 14, "target_native_task_name": "maximumSum:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-69, -11, -78, -27, -88, 17, 28, 1, -32, 84]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 0\n for k in range(1, n + 1):\n t = 0\n j = 1\n while k * j * j <= n:\n t += list_1[k * j * j - 1]\n j += 1\n ans = max(ans, t)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "84", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":14,\"native_task_name\":\"maximumSum:list\",\"output_value\":84}]"} {"id": "python/single_target_baseline/14/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 14, "target_native_task_name": "maximumSum:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-60, 41, 40, -54, -70, -32, 81, 2, -33, -43]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 0\n for k in range(1, n + 1):\n t = 0\n j = 1\n while k * j * j <= n:\n t += list_1[k * j * j - 1]\n j += 1\n ans = max(ans, t)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "81", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":14,\"native_task_name\":\"maximumSum:list\",\"output_value\":81}]"} {"id": "python/single_target_baseline/14/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 14, "target_native_task_name": "maximumSum:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [59, 80, 18, -45, 56, -31, 61, 94, -21, 75]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 0\n for k in range(1, n + 1):\n t = 0\n j = 1\n while k * j * j <= n:\n t += list_1[k * j * j - 1]\n j += 1\n ans = max(ans, t)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "174", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":14,\"native_task_name\":\"maximumSum:list\",\"output_value\":174}]"} {"id": "python/single_target_baseline/14/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 14, "target_native_task_name": "maximumSum:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-97, 54, -93, 7, 9, 74, -66, 14, 42, -14]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 0\n for k in range(1, n + 1):\n t = 0\n j = 1\n while k * j * j <= n:\n t += list_1[k * j * j - 1]\n j += 1\n ans = max(ans, t)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "74", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":14,\"native_task_name\":\"maximumSum:list\",\"output_value\":74}]"} {"id": "python/single_target_baseline/14/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 14, "target_native_task_name": "maximumSum:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [99, -84, 8, -28, 20, -43, 83, 23, 42, 37]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 0\n for k in range(1, n + 1):\n t = 0\n j = 1\n while k * j * j <= n:\n t += list_1[k * j * j - 1]\n j += 1\n ans = max(ans, t)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "113", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":14,\"native_task_name\":\"maximumSum:list\",\"output_value\":113}]"} {"id": "python/single_target_baseline/14/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 14, "target_native_task_name": "maximumSum:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [64, -98, -84, 81, 29, -99, -92, 13, 5, 85]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 0\n for k in range(1, n + 1):\n t = 0\n j = 1\n while k * j * j <= n:\n t += list_1[k * j * j - 1]\n j += 1\n ans = max(ans, t)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "150", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":14,\"native_task_name\":\"maximumSum:list\",\"output_value\":150}]"} {"id": "python/single_target_baseline/14/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 14, "target_native_task_name": "maximumSum:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-4, -77, -45, -64, -36, -69, 84, -80, -64, -78]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 0\n for k in range(1, n + 1):\n t = 0\n j = 1\n while k * j * j <= n:\n t += list_1[k * j * j - 1]\n j += 1\n ans = max(ans, t)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "84", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":14,\"native_task_name\":\"maximumSum:list\",\"output_value\":84}]"} {"id": "python/single_target_baseline/14/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 14, "target_native_task_name": "maximumSum:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-99, -4, 32, 55, 58, -10, 43, -67, 100, -40]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 0\n for k in range(1, n + 1):\n t = 0\n j = 1\n while k * j * j <= n:\n t += list_1[k * j * j - 1]\n j += 1\n ans = max(ans, t)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "58", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":14,\"native_task_name\":\"maximumSum:list\",\"output_value\":58}]"} {"id": "python/single_target_baseline/14/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 14, "target_native_task_name": "maximumSum:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-28, -86, 45, -90, 80, -85, -74, -63, 1, -89]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 0\n for k in range(1, n + 1):\n t = 0\n j = 1\n while k * j * j <= n:\n t += list_1[k * j * j - 1]\n j += 1\n ans = max(ans, t)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "80", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":14,\"native_task_name\":\"maximumSum:list\",\"output_value\":80}]"} {"id": "python/single_target_baseline/14/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 14, "target_native_task_name": "maximumSum:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [90, 67, -92, -63, 34, 32, -49, 93, -47, 65]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 0\n for k in range(1, n + 1):\n t = 0\n j = 1\n while k * j * j <= n:\n t += list_1[k * j * j - 1]\n j += 1\n ans = max(ans, t)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "160", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":14,\"native_task_name\":\"maximumSum:list\",\"output_value\":160}]"} {"id": "python/single_target_baseline/14/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 14, "target_native_task_name": "maximumSum:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-51, 99, -69, -62, -33, 18, -41, 65, -91, -69]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 0\n for k in range(1, n + 1):\n t = 0\n j = 1\n while k * j * j <= n:\n t += list_1[k * j * j - 1]\n j += 1\n ans = max(ans, t)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "164", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":14,\"native_task_name\":\"maximumSum:list\",\"output_value\":164}]"} {"id": "python/single_target_baseline/15/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 15, "target_native_task_name": "candy:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [75, 32, 6, 100, 17, -4, 19, -96, 97, 95]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [1] * n\n right = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n left[i] = left[i - 1] + 1\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n right[i] = right[i + 1] + 1\n python_result_1 = sum((max(a, b) for (a, b) in zip(left, right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "19", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":15,\"native_task_name\":\"candy:list\",\"output_value\":19}]"} {"id": "python/single_target_baseline/15/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 15, "target_native_task_name": "candy:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-85, 40, -56, 97, -76, 35, -55, 62, -24, -6]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [1] * n\n right = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n left[i] = left[i - 1] + 1\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n right[i] = right[i + 1] + 1\n python_result_1 = sum((max(a, b) for (a, b) in zip(left, right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "15", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":15,\"native_task_name\":\"candy:list\",\"output_value\":15}]"} {"id": "python/single_target_baseline/15/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 15, "target_native_task_name": "candy:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [38, 3, 72, 43, -52, 53, -54, -73, 90, 55]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [1] * n\n right = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n left[i] = left[i - 1] + 1\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n right[i] = right[i + 1] + 1\n python_result_1 = sum((max(a, b) for (a, b) in zip(left, right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "18", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":15,\"native_task_name\":\"candy:list\",\"output_value\":18}]"} {"id": "python/single_target_baseline/15/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 15, "target_native_task_name": "candy:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [35, -11, -74, -24, 25, 50, 68, 67, -95, 45]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [1] * n\n right = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n left[i] = left[i - 1] + 1\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n right[i] = right[i + 1] + 1\n python_result_1 = sum((max(a, b) for (a, b) in zip(left, right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "25", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":15,\"native_task_name\":\"candy:list\",\"output_value\":25}]"} {"id": "python/single_target_baseline/15/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 15, "target_native_task_name": "candy:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [48, 98, -23, -63, -57, -30, 4, 71, -7, -49]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [1] * n\n right = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n left[i] = left[i - 1] + 1\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n right[i] = right[i + 1] + 1\n python_result_1 = sum((max(a, b) for (a, b) in zip(left, right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "24", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":15,\"native_task_name\":\"candy:list\",\"output_value\":24}]"} {"id": "python/single_target_baseline/15/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 15, "target_native_task_name": "candy:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [87, 80, 100, 56, 50, 75, 14, -8, -71, -31]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [1] * n\n right = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n left[i] = left[i - 1] + 1\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n right[i] = right[i + 1] + 1\n python_result_1 = sum((max(a, b) for (a, b) in zip(left, right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "21", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":15,\"native_task_name\":\"candy:list\",\"output_value\":21}]"} {"id": "python/single_target_baseline/15/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 15, "target_native_task_name": "candy:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-22, 89, -80, 34, -31, -31, -67, -51, -84, -82]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [1] * n\n right = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n left[i] = left[i - 1] + 1\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n right[i] = right[i + 1] + 1\n python_result_1 = sum((max(a, b) for (a, b) in zip(left, right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "15", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":15,\"native_task_name\":\"candy:list\",\"output_value\":15}]"} {"id": "python/single_target_baseline/15/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 15, "target_native_task_name": "candy:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-23, -88, -59, -2, 100, 8, -47, 89, 41, -3]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [1] * n\n right = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n left[i] = left[i - 1] + 1\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n right[i] = right[i + 1] + 1\n python_result_1 = sum((max(a, b) for (a, b) in zip(left, right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "24", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":15,\"native_task_name\":\"candy:list\",\"output_value\":24}]"} {"id": "python/single_target_baseline/15/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 15, "target_native_task_name": "candy:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [56, 86, 79, -54, 74, -68, -95, -58, 17, -67]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [1] * n\n right = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n left[i] = left[i - 1] + 1\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n right[i] = right[i + 1] + 1\n python_result_1 = sum((max(a, b) for (a, b) in zip(left, right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "19", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":15,\"native_task_name\":\"candy:list\",\"output_value\":19}]"} {"id": "python/single_target_baseline/15/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 15, "target_native_task_name": "candy:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [33, 35, 96, 83, -38, 92, -94, 42, 13, 6]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [1] * n\n right = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n left[i] = left[i - 1] + 1\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n right[i] = right[i + 1] + 1\n python_result_1 = sum((max(a, b) for (a, b) in zip(left, right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "18", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":15,\"native_task_name\":\"candy:list\",\"output_value\":18}]"} {"id": "python/single_target_baseline/15/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 15, "target_native_task_name": "candy:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [33, -83, -46, -19, -94, 76, -95, -62, 76, 81]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [1] * n\n right = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n left[i] = left[i - 1] + 1\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n right[i] = right[i + 1] + 1\n python_result_1 = sum((max(a, b) for (a, b) in zip(left, right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "21", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":15,\"native_task_name\":\"candy:list\",\"output_value\":21}]"} {"id": "python/single_target_baseline/15/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 15, "target_native_task_name": "candy:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-35, 73, -52, -90, -43, -63, 9, -60, -59, 53]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [1] * n\n right = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n left[i] = left[i - 1] + 1\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n right[i] = right[i + 1] + 1\n python_result_1 = sum((max(a, b) for (a, b) in zip(left, right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "18", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":15,\"native_task_name\":\"candy:list\",\"output_value\":18}]"} {"id": "python/single_target_baseline/15/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 15, "target_native_task_name": "candy:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-52, -46, -24, -31, -94, 95, 36, -87, -52, 55]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [1] * n\n right = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n left[i] = left[i - 1] + 1\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n right[i] = right[i + 1] + 1\n python_result_1 = sum((max(a, b) for (a, b) in zip(left, right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "20", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":15,\"native_task_name\":\"candy:list\",\"output_value\":20}]"} {"id": "python/single_target_baseline/15/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 15, "target_native_task_name": "candy:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [22, -72, 17, 80, 69, 78, 14, 75, 1, 64]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [1] * n\n right = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n left[i] = left[i - 1] + 1\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n right[i] = right[i + 1] + 1\n python_result_1 = sum((max(a, b) for (a, b) in zip(left, right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "17", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":15,\"native_task_name\":\"candy:list\",\"output_value\":17}]"} {"id": "python/single_target_baseline/15/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 15, "target_native_task_name": "candy:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-78, -60, 10, -40, 37, 48, 85, -31, -69, 23]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [1] * n\n right = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n left[i] = left[i - 1] + 1\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n right[i] = right[i + 1] + 1\n python_result_1 = sum((max(a, b) for (a, b) in zip(left, right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "21", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":15,\"native_task_name\":\"candy:list\",\"output_value\":21}]"} {"id": "python/single_target_baseline/15/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 15, "target_native_task_name": "candy:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [32, -35, -90, 50, -24, -25, -16, 65, 24, -20]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [1] * n\n right = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n left[i] = left[i - 1] + 1\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n right[i] = right[i + 1] + 1\n python_result_1 = sum((max(a, b) for (a, b) in zip(left, right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "20", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":15,\"native_task_name\":\"candy:list\",\"output_value\":20}]"} {"id": "python/single_target_baseline/16/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 16, "target_native_task_name": "asteroidCollision:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-54, 65, -83, -49, 10, -42, 15, -80, -66, -73]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n for x in list_1:\n if x > 0:\n stk.append(x)\n else:\n while stk and stk[-1] > 0 and (stk[-1] < -x):\n stk.pop()\n if stk and stk[-1] == -x:\n stk.pop()\n elif not stk or stk[-1] < 0:\n stk.append(x)\n python_result_1 = stk\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-54,-83,-49,-42,-80,-66,-73]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":16,\"native_task_name\":\"asteroidCollision:list\",\"output_value\":[-54,-83,-49,-42,-80,-66,-73]}]"} {"id": "python/single_target_baseline/16/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 16, "target_native_task_name": "asteroidCollision:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-72, -13, -58, -100, 64, -61, -81, -25, -51, 4]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n for x in list_1:\n if x > 0:\n stk.append(x)\n else:\n while stk and stk[-1] > 0 and (stk[-1] < -x):\n stk.pop()\n if stk and stk[-1] == -x:\n stk.pop()\n elif not stk or stk[-1] < 0:\n stk.append(x)\n python_result_1 = stk\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-72,-13,-58,0,4]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":16,\"native_task_name\":\"asteroidCollision:list\",\"output_value\":[-72,-13,-58,0,4]}]"} {"id": "python/single_target_baseline/16/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 16, "target_native_task_name": "asteroidCollision:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-9, -85, -61, 48, -49, -95, 94, 41, 97, -11]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n for x in list_1:\n if x > 0:\n stk.append(x)\n else:\n while stk and stk[-1] > 0 and (stk[-1] < -x):\n stk.pop()\n if stk and stk[-1] == -x:\n stk.pop()\n elif not stk or stk[-1] < 0:\n stk.append(x)\n python_result_1 = stk\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-9,-85,-61,-49,-95,94,41,97]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":16,\"native_task_name\":\"asteroidCollision:list\",\"output_value\":[-9,-85,-61,-49,-95,94,41,97]}]"} {"id": "python/single_target_baseline/16/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 16, "target_native_task_name": "asteroidCollision:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-95, 42, 95, 41, -14, -40, -75, 38, 100, -83]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n for x in list_1:\n if x > 0:\n stk.append(x)\n else:\n while stk and stk[-1] > 0 and (stk[-1] < -x):\n stk.pop()\n if stk and stk[-1] == -x:\n stk.pop()\n elif not stk or stk[-1] < 0:\n stk.append(x)\n python_result_1 = stk\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-95,42,95]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":16,\"native_task_name\":\"asteroidCollision:list\",\"output_value\":[-95,42,95]}]"} {"id": "python/single_target_baseline/16/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 16, "target_native_task_name": "asteroidCollision:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-46, 49, 25, 98, -27, 44, 97, 86, 19, 70]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n for x in list_1:\n if x > 0:\n stk.append(x)\n else:\n while stk and stk[-1] > 0 and (stk[-1] < -x):\n stk.pop()\n if stk and stk[-1] == -x:\n stk.pop()\n elif not stk or stk[-1] < 0:\n stk.append(x)\n python_result_1 = stk\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-46,49,25,98,44,97,86,19,70]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":16,\"native_task_name\":\"asteroidCollision:list\",\"output_value\":[-46,49,25,98,44,97,86,19,70]}]"} {"id": "python/single_target_baseline/16/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 16, "target_native_task_name": "asteroidCollision:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-8, -26, -32, 0, -15, 3, -50, -7, 59, 89]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n for x in list_1:\n if x > 0:\n stk.append(x)\n else:\n while stk and stk[-1] > 0 and (stk[-1] < -x):\n stk.pop()\n if stk and stk[-1] == -x:\n stk.pop()\n elif not stk or stk[-1] < 0:\n stk.append(x)\n python_result_1 = stk\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-8,-26,-32,0,59,89]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":16,\"native_task_name\":\"asteroidCollision:list\",\"output_value\":[-8,-26,-32,0,59,89]}]"} {"id": "python/single_target_baseline/16/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 16, "target_native_task_name": "asteroidCollision:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-84, -3, -89, -53, 31, -4, -67, -54, -25, 99]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n for x in list_1:\n if x > 0:\n stk.append(x)\n else:\n while stk and stk[-1] > 0 and (stk[-1] < -x):\n stk.pop()\n if stk and stk[-1] == -x:\n stk.pop()\n elif not stk or stk[-1] < 0:\n stk.append(x)\n python_result_1 = stk\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-84,-3,-89,-53,-67,-54,-25,99]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":16,\"native_task_name\":\"asteroidCollision:list\",\"output_value\":[-84,-3,-89,-53,-67,-54,-25,99]}]"} {"id": "python/single_target_baseline/16/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 16, "target_native_task_name": "asteroidCollision:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-24, -51, -70, -89, -92, 89, -86, 97, -35, -4]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n for x in list_1:\n if x > 0:\n stk.append(x)\n else:\n while stk and stk[-1] > 0 and (stk[-1] < -x):\n stk.pop()\n if stk and stk[-1] == -x:\n stk.pop()\n elif not stk or stk[-1] < 0:\n stk.append(x)\n python_result_1 = stk\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-24,-51,-70,-89,-92,89,97]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":16,\"native_task_name\":\"asteroidCollision:list\",\"output_value\":[-24,-51,-70,-89,-92,89,97]}]"} {"id": "python/single_target_baseline/16/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 16, "target_native_task_name": "asteroidCollision:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [59, -24, -96, -97, -14, -35, -13, 19, 36, -79]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n for x in list_1:\n if x > 0:\n stk.append(x)\n else:\n while stk and stk[-1] > 0 and (stk[-1] < -x):\n stk.pop()\n if stk and stk[-1] == -x:\n stk.pop()\n elif not stk or stk[-1] < 0:\n stk.append(x)\n python_result_1 = stk\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-96,-97,-14,-35,-13,-79]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":16,\"native_task_name\":\"asteroidCollision:list\",\"output_value\":[-96,-97,-14,-35,-13,-79]}]"} {"id": "python/single_target_baseline/16/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 16, "target_native_task_name": "asteroidCollision:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-1, -97, 10, -72, 73, 72, -13, -36, -81, -48]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n for x in list_1:\n if x > 0:\n stk.append(x)\n else:\n while stk and stk[-1] > 0 and (stk[-1] < -x):\n stk.pop()\n if stk and stk[-1] == -x:\n stk.pop()\n elif not stk or stk[-1] < 0:\n stk.append(x)\n python_result_1 = stk\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-1,-97,-72,-81,-48]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":16,\"native_task_name\":\"asteroidCollision:list\",\"output_value\":[-1,-97,-72,-81,-48]}]"} {"id": "python/single_target_baseline/16/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 16, "target_native_task_name": "asteroidCollision:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [10, -47, -56, -45, -41, -10, 22, 97, 96, 53]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n for x in list_1:\n if x > 0:\n stk.append(x)\n else:\n while stk and stk[-1] > 0 and (stk[-1] < -x):\n stk.pop()\n if stk and stk[-1] == -x:\n stk.pop()\n elif not stk or stk[-1] < 0:\n stk.append(x)\n python_result_1 = stk\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-47,-56,-45,-41,-10,22,97,96,53]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":16,\"native_task_name\":\"asteroidCollision:list\",\"output_value\":[-47,-56,-45,-41,-10,22,97,96,53]}]"} {"id": "python/single_target_baseline/16/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 16, "target_native_task_name": "asteroidCollision:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [49, -88, -6, -71, -58, -41, 68, 23, -21, -79]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n for x in list_1:\n if x > 0:\n stk.append(x)\n else:\n while stk and stk[-1] > 0 and (stk[-1] < -x):\n stk.pop()\n if stk and stk[-1] == -x:\n stk.pop()\n elif not stk or stk[-1] < 0:\n stk.append(x)\n python_result_1 = stk\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-88,-6,-71,-58,-41,-79]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":16,\"native_task_name\":\"asteroidCollision:list\",\"output_value\":[-88,-6,-71,-58,-41,-79]}]"} {"id": "python/single_target_baseline/16/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 16, "target_native_task_name": "asteroidCollision:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-80, 70, -34, -95, 48, -4, -56, -16, -62, -53]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n for x in list_1:\n if x > 0:\n stk.append(x)\n else:\n while stk and stk[-1] > 0 and (stk[-1] < -x):\n stk.pop()\n if stk and stk[-1] == -x:\n stk.pop()\n elif not stk or stk[-1] < 0:\n stk.append(x)\n python_result_1 = stk\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-80,-95,-56,-16,-62,-53]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":16,\"native_task_name\":\"asteroidCollision:list\",\"output_value\":[-80,-95,-56,-16,-62,-53]}]"} {"id": "python/single_target_baseline/16/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 16, "target_native_task_name": "asteroidCollision:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [87, -9, 44, 97, 85, 68, 100, -75, 12, -29]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n for x in list_1:\n if x > 0:\n stk.append(x)\n else:\n while stk and stk[-1] > 0 and (stk[-1] < -x):\n stk.pop()\n if stk and stk[-1] == -x:\n stk.pop()\n elif not stk or stk[-1] < 0:\n stk.append(x)\n python_result_1 = stk\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[87,44,97,85]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":16,\"native_task_name\":\"asteroidCollision:list\",\"output_value\":[87,44,97,85]}]"} {"id": "python/single_target_baseline/16/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 16, "target_native_task_name": "asteroidCollision:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-69, -74, -40, 48, -63, -84, -78, 68, -60, 72]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n for x in list_1:\n if x > 0:\n stk.append(x)\n else:\n while stk and stk[-1] > 0 and (stk[-1] < -x):\n stk.pop()\n if stk and stk[-1] == -x:\n stk.pop()\n elif not stk or stk[-1] < 0:\n stk.append(x)\n python_result_1 = stk\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-69,-74,-40,-63,-84,-78,68,72]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":16,\"native_task_name\":\"asteroidCollision:list\",\"output_value\":[-69,-74,-40,-63,-84,-78,68,72]}]"} {"id": "python/single_target_baseline/16/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 16, "target_native_task_name": "asteroidCollision:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-22, 11, -59, 94, 46, 48, -18, 60, 44, -61]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n for x in list_1:\n if x > 0:\n stk.append(x)\n else:\n while stk and stk[-1] > 0 and (stk[-1] < -x):\n stk.pop()\n if stk and stk[-1] == -x:\n stk.pop()\n elif not stk or stk[-1] < 0:\n stk.append(x)\n python_result_1 = stk\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-22,-59,94]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":16,\"native_task_name\":\"asteroidCollision:list\",\"output_value\":[-22,-59,94]}]"} {"id": "python/single_target_baseline/17/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 17, "target_native_task_name": "maxWidthRamp:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [76, -23, -82, 18, 32, 43, -7, -67, -35, 65]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, v) in enumerate(list_1):\n if not stk or list_1[stk[-1]] > v:\n stk.append(i)\n ans = 0\n for i in range(len(list_1) - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n ans = max(ans, i - stk.pop())\n if not stk:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":17,\"native_task_name\":\"maxWidthRamp:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/17/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 17, "target_native_task_name": "maxWidthRamp:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [20, -67, -99, 15, -60, 67, -31, 97, 4, -64]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, v) in enumerate(list_1):\n if not stk or list_1[stk[-1]] > v:\n stk.append(i)\n ans = 0\n for i in range(len(list_1) - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n ans = max(ans, i - stk.pop())\n if not stk:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":17,\"native_task_name\":\"maxWidthRamp:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/17/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 17, "target_native_task_name": "maxWidthRamp:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-24, -26, 72, 1, 87, 62, -74, 37, 31, 72]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, v) in enumerate(list_1):\n if not stk or list_1[stk[-1]] > v:\n stk.append(i)\n ans = 0\n for i in range(len(list_1) - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n ans = max(ans, i - stk.pop())\n if not stk:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":17,\"native_task_name\":\"maxWidthRamp:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/17/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 17, "target_native_task_name": "maxWidthRamp:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [93, 41, 46, 60, 88, 30, 17, 4, -68, -41]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, v) in enumerate(list_1):\n if not stk or list_1[stk[-1]] > v:\n stk.append(i)\n ans = 0\n for i in range(len(list_1) - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n ans = max(ans, i - stk.pop())\n if not stk:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":17,\"native_task_name\":\"maxWidthRamp:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/17/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 17, "target_native_task_name": "maxWidthRamp:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [77, -93, 87, -58, 3, -42, 99, 81, 21, -67]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, v) in enumerate(list_1):\n if not stk or list_1[stk[-1]] > v:\n stk.append(i)\n ans = 0\n for i in range(len(list_1) - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n ans = max(ans, i - stk.pop())\n if not stk:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":17,\"native_task_name\":\"maxWidthRamp:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/17/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 17, "target_native_task_name": "maxWidthRamp:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-7, 22, -88, 91, 50, 15, -84, -17, 10, -39]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, v) in enumerate(list_1):\n if not stk or list_1[stk[-1]] > v:\n stk.append(i)\n ans = 0\n for i in range(len(list_1) - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n ans = max(ans, i - stk.pop())\n if not stk:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":17,\"native_task_name\":\"maxWidthRamp:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/17/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 17, "target_native_task_name": "maxWidthRamp:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [53, 45, -76, 8, -41, 78, 31, 14, -75, 75]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, v) in enumerate(list_1):\n if not stk or list_1[stk[-1]] > v:\n stk.append(i)\n ans = 0\n for i in range(len(list_1) - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n ans = max(ans, i - stk.pop())\n if not stk:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":17,\"native_task_name\":\"maxWidthRamp:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/17/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 17, "target_native_task_name": "maxWidthRamp:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-8, -19, -43, 10, -82, -13, 42, 12, -90, 78]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, v) in enumerate(list_1):\n if not stk or list_1[stk[-1]] > v:\n stk.append(i)\n ans = 0\n for i in range(len(list_1) - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n ans = max(ans, i - stk.pop())\n if not stk:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":17,\"native_task_name\":\"maxWidthRamp:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/17/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 17, "target_native_task_name": "maxWidthRamp:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [52, -97, -56, 74, -35, -72, -28, 27, 12, 98]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, v) in enumerate(list_1):\n if not stk or list_1[stk[-1]] > v:\n stk.append(i)\n ans = 0\n for i in range(len(list_1) - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n ans = max(ans, i - stk.pop())\n if not stk:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":17,\"native_task_name\":\"maxWidthRamp:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/17/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 17, "target_native_task_name": "maxWidthRamp:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [78, -19, 44, -41, -41, -32, -60, 5, 75, 37]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, v) in enumerate(list_1):\n if not stk or list_1[stk[-1]] > v:\n stk.append(i)\n ans = 0\n for i in range(len(list_1) - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n ans = max(ans, i - stk.pop())\n if not stk:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":17,\"native_task_name\":\"maxWidthRamp:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/17/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 17, "target_native_task_name": "maxWidthRamp:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-27, 9, -43, -26, 49, -17, 97, 82, -78, 15]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, v) in enumerate(list_1):\n if not stk or list_1[stk[-1]] > v:\n stk.append(i)\n ans = 0\n for i in range(len(list_1) - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n ans = max(ans, i - stk.pop())\n if not stk:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":17,\"native_task_name\":\"maxWidthRamp:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/17/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 17, "target_native_task_name": "maxWidthRamp:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [55, 31, -58, 29, -14, -1, -56, 1, 12, -93]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, v) in enumerate(list_1):\n if not stk or list_1[stk[-1]] > v:\n stk.append(i)\n ans = 0\n for i in range(len(list_1) - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n ans = max(ans, i - stk.pop())\n if not stk:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":17,\"native_task_name\":\"maxWidthRamp:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/17/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 17, "target_native_task_name": "maxWidthRamp:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [12, 5, -74, -24, -14, -51, -44, 37, -52, -86]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, v) in enumerate(list_1):\n if not stk or list_1[stk[-1]] > v:\n stk.append(i)\n ans = 0\n for i in range(len(list_1) - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n ans = max(ans, i - stk.pop())\n if not stk:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":17,\"native_task_name\":\"maxWidthRamp:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/17/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 17, "target_native_task_name": "maxWidthRamp:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-99, 59, -86, -74, -5, -11, -64, 26, 38, -40]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, v) in enumerate(list_1):\n if not stk or list_1[stk[-1]] > v:\n stk.append(i)\n ans = 0\n for i in range(len(list_1) - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n ans = max(ans, i - stk.pop())\n if not stk:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":17,\"native_task_name\":\"maxWidthRamp:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/17/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 17, "target_native_task_name": "maxWidthRamp:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-39, 71, -68, -95, 36, 8, 99, 43, -70, -86]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, v) in enumerate(list_1):\n if not stk or list_1[stk[-1]] > v:\n stk.append(i)\n ans = 0\n for i in range(len(list_1) - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n ans = max(ans, i - stk.pop())\n if not stk:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":17,\"native_task_name\":\"maxWidthRamp:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/17/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 17, "target_native_task_name": "maxWidthRamp:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-44, -94, -84, -83, -67, 4, 98, -91, 83, 13]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, v) in enumerate(list_1):\n if not stk or list_1[stk[-1]] > v:\n stk.append(i)\n ans = 0\n for i in range(len(list_1) - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n ans = max(ans, i - stk.pop())\n if not stk:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":17,\"native_task_name\":\"maxWidthRamp:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/18/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 18, "target_native_task_name": "transformArray:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-13, -61, 66, 84, -6, -87, -32, 75, -92, 39]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n f = True\n while f:\n f = False\n t = list_1[:]\n for i in range(1, len(t) - 1):\n if t[i] > t[i - 1] and t[i] > t[i + 1]:\n list_1[i] -= 1\n f = True\n if t[i] < t[i - 1] and t[i] < t[i + 1]:\n list_1[i] += 1\n f = True\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-13,-13,66,66,-6,-32,-32,-9,-8,39]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":18,\"native_task_name\":\"transformArray:list\",\"output_value\":[-13,-13,66,66,-6,-32,-32,-9,-8,39]}]"} {"id": "python/single_target_baseline/18/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 18, "target_native_task_name": "transformArray:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-6, -38, 87, 70, -25, -63, 13, 5, -82, 79]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n f = True\n while f:\n f = False\n t = list_1[:]\n for i in range(1, len(t) - 1):\n if t[i] > t[i - 1] and t[i] > t[i + 1]:\n list_1[i] -= 1\n f = True\n if t[i] < t[i - 1] and t[i] < t[i + 1]:\n list_1[i] += 1\n f = True\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-6,-6,70,70,-25,-25,5,5,5,79]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":18,\"native_task_name\":\"transformArray:list\",\"output_value\":[-6,-6,70,70,-25,-25,5,5,5,79]}]"} {"id": "python/single_target_baseline/18/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 18, "target_native_task_name": "transformArray:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-11, 67, -90, 97, 63, 51, 0, 23, -84, 38]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n f = True\n while f:\n f = False\n t = list_1[:]\n for i in range(1, len(t) - 1):\n if t[i] > t[i - 1] and t[i] > t[i + 1]:\n list_1[i] -= 1\n f = True\n if t[i] < t[i - 1] and t[i] < t[i + 1]:\n list_1[i] += 1\n f = True\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-11,-11,-11,63,63,51,12,11,11,38]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":18,\"native_task_name\":\"transformArray:list\",\"output_value\":[-11,-11,-11,63,63,51,12,11,11,38]}]"} {"id": "python/single_target_baseline/18/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 18, "target_native_task_name": "transformArray:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-38, -55, 31, 82, 30, -1, -11, 16, -33, -39]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n f = True\n while f:\n f = False\n t = list_1[:]\n for i in range(1, len(t) - 1):\n if t[i] > t[i - 1] and t[i] > t[i + 1]:\n list_1[i] -= 1\n f = True\n if t[i] < t[i - 1] and t[i] < t[i + 1]:\n list_1[i] += 1\n f = True\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-38,-38,31,31,30,-1,-1,-1,-33,-39]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":18,\"native_task_name\":\"transformArray:list\",\"output_value\":[-38,-38,31,31,30,-1,-1,-1,-33,-39]}]"} {"id": "python/single_target_baseline/18/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 18, "target_native_task_name": "transformArray:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [35, 67, -40, 25, 61, 12, -100, 75, 87, 71]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n f = True\n while f:\n f = False\n t = list_1[:]\n for i in range(1, len(t) - 1):\n if t[i] > t[i - 1] and t[i] > t[i + 1]:\n list_1[i] -= 1\n f = True\n if t[i] < t[i - 1] and t[i] < t[i + 1]:\n list_1[i] += 1\n f = True\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[35,35,25,25,25,12,12,75,75,71]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":18,\"native_task_name\":\"transformArray:list\",\"output_value\":[35,35,25,25,25,12,12,75,75,71]}]"} {"id": "python/single_target_baseline/18/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 18, "target_native_task_name": "transformArray:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-18, -86, 40, -10, 15, 28, -58, -93, 41, 94]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n f = True\n while f:\n f = False\n t = list_1[:]\n for i in range(1, len(t) - 1):\n if t[i] > t[i - 1] and t[i] > t[i + 1]:\n list_1[i] -= 1\n f = True\n if t[i] < t[i - 1] and t[i] < t[i + 1]:\n list_1[i] += 1\n f = True\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-18,-18,15,15,15,15,-58,-58,41,94]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":18,\"native_task_name\":\"transformArray:list\",\"output_value\":[-18,-18,15,15,15,15,-58,-58,41,94]}]"} {"id": "python/single_target_baseline/18/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 18, "target_native_task_name": "transformArray:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [12, -27, 45, 23, 97, -25, 47, -82, -50, 16]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n f = True\n while f:\n f = False\n t = list_1[:]\n for i in range(1, len(t) - 1):\n if t[i] > t[i - 1] and t[i] > t[i + 1]:\n list_1[i] -= 1\n f = True\n if t[i] < t[i - 1] and t[i] < t[i + 1]:\n list_1[i] += 1\n f = True\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[12,12,34,34,34,11,11,-50,-50,16]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":18,\"native_task_name\":\"transformArray:list\",\"output_value\":[12,12,34,34,34,11,11,-50,-50,16]}]"} {"id": "python/single_target_baseline/18/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 18, "target_native_task_name": "transformArray:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-85, 38, -74, 17, 73, -10, 76, 72, 54, 10]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n f = True\n while f:\n f = False\n t = list_1[:]\n for i in range(1, len(t) - 1):\n if t[i] > t[i - 1] and t[i] > t[i + 1]:\n list_1[i] -= 1\n f = True\n if t[i] < t[i - 1] and t[i] < t[i + 1]:\n list_1[i] += 1\n f = True\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-85,-18,-18,17,31,32,72,72,54,10]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":18,\"native_task_name\":\"transformArray:list\",\"output_value\":[-85,-18,-18,17,31,32,72,72,54,10]}]"} {"id": "python/single_target_baseline/18/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 18, "target_native_task_name": "transformArray:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-22, 71, -31, -28, -2, 90, -56, 70, -100, -42]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n f = True\n while f:\n f = False\n t = list_1[:]\n for i in range(1, len(t) - 1):\n if t[i] > t[i - 1] and t[i] > t[i + 1]:\n list_1[i] -= 1\n f = True\n if t[i] < t[i - 1] and t[i] < t[i + 1]:\n list_1[i] += 1\n f = True\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-22,-22,-28,-28,-2,7,7,7,0,-42]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":18,\"native_task_name\":\"transformArray:list\",\"output_value\":[-22,-22,-28,-28,-2,7,7,7,0,-42]}]"} {"id": "python/single_target_baseline/18/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 18, "target_native_task_name": "transformArray:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-26, 17, 24, 56, -86, 35, 85, 84, -78, 54]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n f = True\n while f:\n f = False\n t = list_1[:]\n for i in range(1, len(t) - 1):\n if t[i] > t[i - 1] and t[i] > t[i + 1]:\n list_1[i] -= 1\n f = True\n if t[i] < t[i - 1] and t[i] < t[i + 1]:\n list_1[i] += 1\n f = True\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-26,17,24,24,24,35,84,84,54,54]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":18,\"native_task_name\":\"transformArray:list\",\"output_value\":[-26,17,24,24,24,35,84,84,54,54]}]"} {"id": "python/single_target_baseline/18/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 18, "target_native_task_name": "transformArray:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-17, 15, -26, -19, -96, -88, -25, -4, 72, -98]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n f = True\n while f:\n f = False\n t = list_1[:]\n for i in range(1, len(t) - 1):\n if t[i] > t[i - 1] and t[i] > t[i + 1]:\n list_1[i] -= 1\n f = True\n if t[i] < t[i - 1] and t[i] < t[i + 1]:\n list_1[i] += 1\n f = True\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-17,-17,-22,-23,-88,-88,-25,-4,-4,-98]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":18,\"native_task_name\":\"transformArray:list\",\"output_value\":[-17,-17,-22,-23,-88,-88,-25,-4,-4,-98]}]"} {"id": "python/single_target_baseline/18/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 18, "target_native_task_name": "transformArray:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-41, 40, -82, -43, 4, 48, 13, 25, -56, 59]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n f = True\n while f:\n f = False\n t = list_1[:]\n for i in range(1, len(t) - 1):\n if t[i] > t[i - 1] and t[i] > t[i + 1]:\n list_1[i] -= 1\n f = True\n if t[i] < t[i - 1] and t[i] < t[i + 1]:\n list_1[i] += 1\n f = True\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-41,-41,-43,-43,4,19,19,19,19,59]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":18,\"native_task_name\":\"transformArray:list\",\"output_value\":[-41,-41,-43,-43,4,19,19,19,19,59]}]"} {"id": "python/single_target_baseline/18/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 18, "target_native_task_name": "transformArray:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-68, 38, -2, -58, 74, -16, 54, -9, -51, -25]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n f = True\n while f:\n f = False\n t = list_1[:]\n for i in range(1, len(t) - 1):\n if t[i] > t[i - 1] and t[i] > t[i + 1]:\n list_1[i] -= 1\n f = True\n if t[i] < t[i - 1] and t[i] < t[i + 1]:\n list_1[i] += 1\n f = True\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-68,-2,-2,-2,19,19,19,-9,-25,-25]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":18,\"native_task_name\":\"transformArray:list\",\"output_value\":[-68,-2,-2,-2,19,19,19,-9,-25,-25]}]"} {"id": "python/single_target_baseline/18/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 18, "target_native_task_name": "transformArray:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-29, -39, -80, -50, -7, 52, -63, 64, 55, -76]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n f = True\n while f:\n f = False\n t = list_1[:]\n for i in range(1, len(t) - 1):\n if t[i] > t[i - 1] and t[i] > t[i + 1]:\n list_1[i] -= 1\n f = True\n if t[i] < t[i - 1] and t[i] < t[i + 1]:\n list_1[i] += 1\n f = True\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-29,-39,-50,-50,-7,-6,-5,55,55,-76]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":18,\"native_task_name\":\"transformArray:list\",\"output_value\":[-29,-39,-50,-50,-7,-6,-5,55,55,-76]}]"} {"id": "python/single_target_baseline/18/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 18, "target_native_task_name": "transformArray:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-71, -73, -45, 1, -75, 24, 66, -26, -26, 84]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n f = True\n while f:\n f = False\n t = list_1[:]\n for i in range(1, len(t) - 1):\n if t[i] > t[i - 1] and t[i] > t[i + 1]:\n list_1[i] -= 1\n f = True\n if t[i] < t[i - 1] and t[i] < t[i + 1]:\n list_1[i] += 1\n f = True\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-71,-71,-45,-37,-37,24,24,-26,-26,84]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":18,\"native_task_name\":\"transformArray:list\",\"output_value\":[-71,-71,-45,-37,-37,24,24,-26,-26,84]}]"} {"id": "python/single_target_baseline/18/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 18, "target_native_task_name": "transformArray:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-74, 28, -58, -60, 86, 8, 5, 5, -31, -79]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n f = True\n while f:\n f = False\n t = list_1[:]\n for i in range(1, len(t) - 1):\n if t[i] > t[i - 1] and t[i] > t[i + 1]:\n list_1[i] -= 1\n f = True\n if t[i] < t[i - 1] and t[i] < t[i + 1]:\n list_1[i] += 1\n f = True\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-74,-58,-58,-58,8,8,5,5,-31,-79]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":18,\"native_task_name\":\"transformArray:list\",\"output_value\":[-74,-58,-58,-58,8,8,5,5,-31,-79]}]"} {"id": "python/single_target_baseline/19/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 19, "target_native_task_name": "longestSubarray:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-59, -68, -33, 21, -35, -50, -90, 74, 31, 26]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * (n + 1)\n right = [0] * (n + 1)\n for (i, x) in enumerate(list_1, 1):\n if x:\n left[i] = left[i - 1] + 1\n for i in range(n - 1, -1, -1):\n if list_1[i]:\n right[i] = right[i + 1] + 1\n python_result_1 = max((left[i] + right[i + 1] for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":19,\"native_task_name\":\"longestSubarray:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/19/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 19, "target_native_task_name": "longestSubarray:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-11, -55, -34, -13, -42, 93, -25, -30, 68, 94]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * (n + 1)\n right = [0] * (n + 1)\n for (i, x) in enumerate(list_1, 1):\n if x:\n left[i] = left[i - 1] + 1\n for i in range(n - 1, -1, -1):\n if list_1[i]:\n right[i] = right[i + 1] + 1\n python_result_1 = max((left[i] + right[i + 1] for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":19,\"native_task_name\":\"longestSubarray:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/19/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 19, "target_native_task_name": "longestSubarray:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [79, -67, 15, 14, 68, 83, -24, 97, 12, 20]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * (n + 1)\n right = [0] * (n + 1)\n for (i, x) in enumerate(list_1, 1):\n if x:\n left[i] = left[i - 1] + 1\n for i in range(n - 1, -1, -1):\n if list_1[i]:\n right[i] = right[i + 1] + 1\n python_result_1 = max((left[i] + right[i + 1] for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":19,\"native_task_name\":\"longestSubarray:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/19/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 19, "target_native_task_name": "longestSubarray:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [24, 36, 58, 20, 94, 40, -87, -67, 8, 17]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * (n + 1)\n right = [0] * (n + 1)\n for (i, x) in enumerate(list_1, 1):\n if x:\n left[i] = left[i - 1] + 1\n for i in range(n - 1, -1, -1):\n if list_1[i]:\n right[i] = right[i + 1] + 1\n python_result_1 = max((left[i] + right[i + 1] for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":19,\"native_task_name\":\"longestSubarray:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/19/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 19, "target_native_task_name": "longestSubarray:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [55, 84, 73, 71, -35, 22, 8, -9, 74, 36]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * (n + 1)\n right = [0] * (n + 1)\n for (i, x) in enumerate(list_1, 1):\n if x:\n left[i] = left[i - 1] + 1\n for i in range(n - 1, -1, -1):\n if list_1[i]:\n right[i] = right[i + 1] + 1\n python_result_1 = max((left[i] + right[i + 1] for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":19,\"native_task_name\":\"longestSubarray:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/19/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 19, "target_native_task_name": "longestSubarray:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-37, -58, 84, 10, 83, 72, -90, -86, -4, 4]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * (n + 1)\n right = [0] * (n + 1)\n for (i, x) in enumerate(list_1, 1):\n if x:\n left[i] = left[i - 1] + 1\n for i in range(n - 1, -1, -1):\n if list_1[i]:\n right[i] = right[i + 1] + 1\n python_result_1 = max((left[i] + right[i + 1] for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":19,\"native_task_name\":\"longestSubarray:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/19/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 19, "target_native_task_name": "longestSubarray:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [2, -47, 22, 3, 42, -5, -18, 49, 60, -35]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * (n + 1)\n right = [0] * (n + 1)\n for (i, x) in enumerate(list_1, 1):\n if x:\n left[i] = left[i - 1] + 1\n for i in range(n - 1, -1, -1):\n if list_1[i]:\n right[i] = right[i + 1] + 1\n python_result_1 = max((left[i] + right[i + 1] for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":19,\"native_task_name\":\"longestSubarray:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/19/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 19, "target_native_task_name": "longestSubarray:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-3, -80, 78, -91, 39, -41, -92, -36, 1, -33]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * (n + 1)\n right = [0] * (n + 1)\n for (i, x) in enumerate(list_1, 1):\n if x:\n left[i] = left[i - 1] + 1\n for i in range(n - 1, -1, -1):\n if list_1[i]:\n right[i] = right[i + 1] + 1\n python_result_1 = max((left[i] + right[i + 1] for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":19,\"native_task_name\":\"longestSubarray:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/19/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 19, "target_native_task_name": "longestSubarray:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [60, -31, -36, 68, 33, 61, -82, 80, -85, -87]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * (n + 1)\n right = [0] * (n + 1)\n for (i, x) in enumerate(list_1, 1):\n if x:\n left[i] = left[i - 1] + 1\n for i in range(n - 1, -1, -1):\n if list_1[i]:\n right[i] = right[i + 1] + 1\n python_result_1 = max((left[i] + right[i + 1] for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":19,\"native_task_name\":\"longestSubarray:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/19/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 19, "target_native_task_name": "longestSubarray:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-93, -73, -40, 66, 99, 63, -85, -39, -69, 18]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * (n + 1)\n right = [0] * (n + 1)\n for (i, x) in enumerate(list_1, 1):\n if x:\n left[i] = left[i - 1] + 1\n for i in range(n - 1, -1, -1):\n if list_1[i]:\n right[i] = right[i + 1] + 1\n python_result_1 = max((left[i] + right[i + 1] for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":19,\"native_task_name\":\"longestSubarray:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/19/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 19, "target_native_task_name": "longestSubarray:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [83, -46, -18, -50, -24, 82, -82, 78, 46, -89]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * (n + 1)\n right = [0] * (n + 1)\n for (i, x) in enumerate(list_1, 1):\n if x:\n left[i] = left[i - 1] + 1\n for i in range(n - 1, -1, -1):\n if list_1[i]:\n right[i] = right[i + 1] + 1\n python_result_1 = max((left[i] + right[i + 1] for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":19,\"native_task_name\":\"longestSubarray:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/19/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 19, "target_native_task_name": "longestSubarray:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [43, -11, 63, 46, 83, 77, 6, 50, 87, 14]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * (n + 1)\n right = [0] * (n + 1)\n for (i, x) in enumerate(list_1, 1):\n if x:\n left[i] = left[i - 1] + 1\n for i in range(n - 1, -1, -1):\n if list_1[i]:\n right[i] = right[i + 1] + 1\n python_result_1 = max((left[i] + right[i + 1] for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":19,\"native_task_name\":\"longestSubarray:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/19/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 19, "target_native_task_name": "longestSubarray:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-18, 48, -80, -99, -17, -1, -86, -11, 83, -69]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * (n + 1)\n right = [0] * (n + 1)\n for (i, x) in enumerate(list_1, 1):\n if x:\n left[i] = left[i - 1] + 1\n for i in range(n - 1, -1, -1):\n if list_1[i]:\n right[i] = right[i + 1] + 1\n python_result_1 = max((left[i] + right[i + 1] for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":19,\"native_task_name\":\"longestSubarray:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/19/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 19, "target_native_task_name": "longestSubarray:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [21, 14, -48, -49, 65, -100, -59, -22, -6, 15]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * (n + 1)\n right = [0] * (n + 1)\n for (i, x) in enumerate(list_1, 1):\n if x:\n left[i] = left[i - 1] + 1\n for i in range(n - 1, -1, -1):\n if list_1[i]:\n right[i] = right[i + 1] + 1\n python_result_1 = max((left[i] + right[i + 1] for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":19,\"native_task_name\":\"longestSubarray:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/19/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 19, "target_native_task_name": "longestSubarray:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-28, 53, 75, -43, -19, 100, -72, -8, 14, 60]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * (n + 1)\n right = [0] * (n + 1)\n for (i, x) in enumerate(list_1, 1):\n if x:\n left[i] = left[i - 1] + 1\n for i in range(n - 1, -1, -1):\n if list_1[i]:\n right[i] = right[i + 1] + 1\n python_result_1 = max((left[i] + right[i + 1] for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":19,\"native_task_name\":\"longestSubarray:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/19/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 19, "target_native_task_name": "longestSubarray:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [14, -85, -23, 10, 91, 73, 3, 11, 91, -17]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * (n + 1)\n right = [0] * (n + 1)\n for (i, x) in enumerate(list_1, 1):\n if x:\n left[i] = left[i - 1] + 1\n for i in range(n - 1, -1, -1):\n if list_1[i]:\n right[i] = right[i + 1] + 1\n python_result_1 = max((left[i] + right[i + 1] for i in range(n)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":19,\"native_task_name\":\"longestSubarray:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/20/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 20, "target_native_task_name": "simulationResult:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [25, -28, -50, -88, -52, 65, 13, -76, -30, -38]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [-35, 36, -35, -75, -44, -69, -55, -37, -20, -3].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> List[int]:\n s = set()\n ans = []\n for q in queries[::-1]:\n if q not in s:\n ans.append(q)\n s.add(q)\n for w in list_1:\n if w not in s:\n ans.append(w)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-3,-20,-37,-55,-69,-44,-75,-35,36,25,-28,-50,-88,-52,65,13,-76,-30,-38]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":20,\"native_task_name\":\"simulationResult:list\",\"output_value\":[-3,-20,-37,-55,-69,-44,-75,-35,36,25,-28,-50,-88,-52,65,13,-76,-30,-38]}]"} {"id": "python/single_target_baseline/20/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 20, "target_native_task_name": "simulationResult:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [99, -25, -31, 50, -57, 79, -39, -49, -33, -59]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [-77, 90, -38, -83, -44, 10, 38, 25, 40, -80].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> List[int]:\n s = set()\n ans = []\n for q in queries[::-1]:\n if q not in s:\n ans.append(q)\n s.add(q)\n for w in list_1:\n if w not in s:\n ans.append(w)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-80,40,25,38,10,-44,-83,-38,90,-77,99,-25,-31,50,-57,79,-39,-49,-33,-59]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":20,\"native_task_name\":\"simulationResult:list\",\"output_value\":[-80,40,25,38,10,-44,-83,-38,90,-77,99,-25,-31,50,-57,79,-39,-49,-33,-59]}]"} {"id": "python/single_target_baseline/20/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 20, "target_native_task_name": "simulationResult:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [29, 37, 1, 8, -97, -63, -13, 70, -75, 3]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [-29, 18, 72, -100, 84, 16, 40, 81, -25, -79].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> List[int]:\n s = set()\n ans = []\n for q in queries[::-1]:\n if q not in s:\n ans.append(q)\n s.add(q)\n for w in list_1:\n if w not in s:\n ans.append(w)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-79,-25,81,40,16,84,-100,72,18,-29,29,37,1,8,-97,-63,-13,70,-75,3]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":20,\"native_task_name\":\"simulationResult:list\",\"output_value\":[-79,-25,81,40,16,84,-100,72,18,-29,29,37,1,8,-97,-63,-13,70,-75,3]}]"} {"id": "python/single_target_baseline/20/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 20, "target_native_task_name": "simulationResult:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-24, 36, 2, -5, -52, -40, -73, 88, -2, -100]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [-15, 5, 0, -77, 38, -70, -69, -59, 65, 4].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> List[int]:\n s = set()\n ans = []\n for q in queries[::-1]:\n if q not in s:\n ans.append(q)\n s.add(q)\n for w in list_1:\n if w not in s:\n ans.append(w)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[4,65,-59,-69,-70,38,-77,0,5,-15,-24,36,2,-5,-52,-40,-73,88,-2]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":20,\"native_task_name\":\"simulationResult:list\",\"output_value\":[4,65,-59,-69,-70,38,-77,0,5,-15,-24,36,2,-5,-52,-40,-73,88,-2]}]"} {"id": "python/single_target_baseline/20/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 20, "target_native_task_name": "simulationResult:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [98, -93, 87, -29, 21, 6, -89, 92, -28, -53]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [-78, 31, 53, 80, 24, -78, 93, -48, 0, 89].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> List[int]:\n s = set()\n ans = []\n for q in queries[::-1]:\n if q not in s:\n ans.append(q)\n s.add(q)\n for w in list_1:\n if w not in s:\n ans.append(w)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[89,0,-48,93,-78,24,80,53,31,98,-93,87,-29,21,6,-89,92,-28,-53]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":20,\"native_task_name\":\"simulationResult:list\",\"output_value\":[89,0,-48,93,-78,24,80,53,31,98,-93,87,-29,21,6,-89,92,-28,-53]}]"} {"id": "python/single_target_baseline/20/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 20, "target_native_task_name": "simulationResult:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-13, 10, -41, -86, 90, -91, -90, 76, 34, 72]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [43, 68, 39, -42, -22, -24, 73, -8, -50, -76].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> List[int]:\n s = set()\n ans = []\n for q in queries[::-1]:\n if q not in s:\n ans.append(q)\n s.add(q)\n for w in list_1:\n if w not in s:\n ans.append(w)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-76,-50,-8,73,-24,-22,-42,39,68,43,-13,10,-41,-86,90,-91,-90,76,34,72]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":20,\"native_task_name\":\"simulationResult:list\",\"output_value\":[-76,-50,-8,73,-24,-22,-42,39,68,43,-13,10,-41,-86,90,-91,-90,76,34,72]}]"} {"id": "python/single_target_baseline/20/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 20, "target_native_task_name": "simulationResult:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [28, -71, -80, 7, -83, -20, -34, -33, -11, 91]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [-94, -50, 58, -58, -13, 92, 15, 51, 27, 97].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> List[int]:\n s = set()\n ans = []\n for q in queries[::-1]:\n if q not in s:\n ans.append(q)\n s.add(q)\n for w in list_1:\n if w not in s:\n ans.append(w)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[97,27,51,15,92,-13,-58,58,-50,-94,28,-71,-80,7,-83,-20,-34,-33,-11,91]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":20,\"native_task_name\":\"simulationResult:list\",\"output_value\":[97,27,51,15,92,-13,-58,58,-50,-94,28,-71,-80,7,-83,-20,-34,-33,-11,91]}]"} {"id": "python/single_target_baseline/20/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 20, "target_native_task_name": "simulationResult:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-2, -94, -83, -93, 92, 32, 59, 18, 70, -50]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [-74, 21, 19, 51, -69, 13, -45, -10, 91, 97].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> List[int]:\n s = set()\n ans = []\n for q in queries[::-1]:\n if q not in s:\n ans.append(q)\n s.add(q)\n for w in list_1:\n if w not in s:\n ans.append(w)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[97,91,-10,-45,13,-69,51,19,21,-74,-2,-94,-83,-93,92,32,59,18,70,-50]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":20,\"native_task_name\":\"simulationResult:list\",\"output_value\":[97,91,-10,-45,13,-69,51,19,21,-74,-2,-94,-83,-93,92,32,59,18,70,-50]}]"} {"id": "python/single_target_baseline/20/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 20, "target_native_task_name": "simulationResult:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [20, 41, -70, -96, 80, 46, -28, -73, 60, -11]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [-51, 62, 0, 43, -63, -64, 79, -42, 37, -56].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> List[int]:\n s = set()\n ans = []\n for q in queries[::-1]:\n if q not in s:\n ans.append(q)\n s.add(q)\n for w in list_1:\n if w not in s:\n ans.append(w)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-56,37,-42,79,-64,-63,43,0,62,-51,20,41,-70,-96,80,46,-28,-73,60,-11]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":20,\"native_task_name\":\"simulationResult:list\",\"output_value\":[-56,37,-42,79,-64,-63,43,0,62,-51,20,41,-70,-96,80,46,-28,-73,60,-11]}]"} {"id": "python/single_target_baseline/20/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 20, "target_native_task_name": "simulationResult:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-34, -12, 48, -15, -60, 82, -70, 53, 22, 53]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [23, -64, -44, -64, 67, 8, -78, 63, 94, 73].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> List[int]:\n s = set()\n ans = []\n for q in queries[::-1]:\n if q not in s:\n ans.append(q)\n s.add(q)\n for w in list_1:\n if w not in s:\n ans.append(w)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[73,94,63,-78,8,67,-64,-44,23,-34,-12,48,-15,-60,82,-70,53,22,53]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":20,\"native_task_name\":\"simulationResult:list\",\"output_value\":[73,94,63,-78,8,67,-64,-44,23,-34,-12,48,-15,-60,82,-70,53,22,53]}]"} {"id": "python/single_target_baseline/20/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 20, "target_native_task_name": "simulationResult:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-62, 32, 18, -55, 5, 80, 76, 23, 37, 59]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [1, 76, -52, 96, 87, 76, 12, -3, -66, 35].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> List[int]:\n s = set()\n ans = []\n for q in queries[::-1]:\n if q not in s:\n ans.append(q)\n s.add(q)\n for w in list_1:\n if w not in s:\n ans.append(w)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[35,-66,-3,12,76,87,96,-52,1,-62,32,18,-55,5,80,23,37,59]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":20,\"native_task_name\":\"simulationResult:list\",\"output_value\":[35,-66,-3,12,76,87,96,-52,1,-62,32,18,-55,5,80,23,37,59]}]"} {"id": "python/single_target_baseline/20/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 20, "target_native_task_name": "simulationResult:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [38, -90, 72, 60, 33, -91, -26, -71, 69, -79]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [-100, -16, 9, -22, -28, -50, 19, 42, -4, -91].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> List[int]:\n s = set()\n ans = []\n for q in queries[::-1]:\n if q not in s:\n ans.append(q)\n s.add(q)\n for w in list_1:\n if w not in s:\n ans.append(w)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-91,-4,42,19,-50,-28,-22,9,-16,-100,38,-90,72,60,33,-26,-71,69,-79]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":20,\"native_task_name\":\"simulationResult:list\",\"output_value\":[-91,-4,42,19,-50,-28,-22,9,-16,-100,38,-90,72,60,33,-26,-71,69,-79]}]"} {"id": "python/single_target_baseline/20/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 20, "target_native_task_name": "simulationResult:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [43, 63, -22, 29, -65, -84, -53, 68, 55, 10]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [25, 99, -8, -80, -99, -5, -74, 98, -90, 75].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> List[int]:\n s = set()\n ans = []\n for q in queries[::-1]:\n if q not in s:\n ans.append(q)\n s.add(q)\n for w in list_1:\n if w not in s:\n ans.append(w)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[75,-90,98,-74,-5,-99,-80,-8,99,25,43,63,-22,29,-65,-84,-53,68,55,10]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":20,\"native_task_name\":\"simulationResult:list\",\"output_value\":[75,-90,98,-74,-5,-99,-80,-8,99,25,43,63,-22,29,-65,-84,-53,68,55,10]}]"} {"id": "python/single_target_baseline/20/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 20, "target_native_task_name": "simulationResult:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-14, -31, -24, -57, -41, 56, 4, 6, -33, -78]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [69, -25, 91, -85, 61, 98, 72, -22, 64, 25].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> List[int]:\n s = set()\n ans = []\n for q in queries[::-1]:\n if q not in s:\n ans.append(q)\n s.add(q)\n for w in list_1:\n if w not in s:\n ans.append(w)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[25,64,-22,72,98,61,-85,91,-25,69,-14,-31,-24,-57,-41,56,4,6,-33,-78]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":20,\"native_task_name\":\"simulationResult:list\",\"output_value\":[25,64,-22,72,98,61,-85,91,-25,69,-14,-31,-24,-57,-41,56,4,6,-33,-78]}]"} {"id": "python/single_target_baseline/20/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 20, "target_native_task_name": "simulationResult:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [63, -75, 84, 82, -2, -100, -89, -1, -83, 99]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [-57, 34, 3, 52, 28, 20, -2, 70, 90, 60].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> List[int]:\n s = set()\n ans = []\n for q in queries[::-1]:\n if q not in s:\n ans.append(q)\n s.add(q)\n for w in list_1:\n if w not in s:\n ans.append(w)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[60,90,70,-2,20,28,52,3,34,-57,63,-75,84,82,0,-89,-1,-83,99]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":20,\"native_task_name\":\"simulationResult:list\",\"output_value\":[60,90,70,-2,20,28,52,3,34,-57,63,-75,84,82,0,-89,-1,-83,99]}]"} {"id": "python/single_target_baseline/20/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 20, "target_native_task_name": "simulationResult:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-49, -97, -34, 66, 92, -49, -79, -88, -84, -93]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_queries_static = [19, 74, -22, -17, -15, -97, 56, -77, -25, 14].\nTrace the execution of task_1 with inputs queries = task_1_queries_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], queries: List[int]) -> List[int]:\n s = set()\n ans = []\n for q in queries[::-1]:\n if q not in s:\n ans.append(q)\n s.add(q)\n for w in list_1:\n if w not in s:\n ans.append(w)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[14,-25,-77,56,-97,-15,-17,-22,74,19,-49,-34,66,92,-49,-79,-88,-84,-93]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":20,\"native_task_name\":\"simulationResult:list\",\"output_value\":[14,-25,-77,56,-97,-15,-17,-22,74,19,-49,-34,66,92,-49,-79,-88,-84,-93]}]"} {"id": "python/single_target_baseline/21/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 21, "target_native_task_name": "longestMountain:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-48, 92, -39, -11, -14, -93, 63, -42, -60, -38]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n f[i] = f[i - 1] + 1\n ans = 0\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n g[i] = g[i + 1] + 1\n if f[i] > 1:\n ans = max(ans, f[i] + g[i] - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":21,\"native_task_name\":\"longestMountain:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/21/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 21, "target_native_task_name": "longestMountain:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-9, 43, -2, 99, -92, 13, 27, 67, -9, 31]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n f[i] = f[i - 1] + 1\n ans = 0\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n g[i] = g[i + 1] + 1\n if f[i] > 1:\n ans = max(ans, f[i] + g[i] - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":21,\"native_task_name\":\"longestMountain:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/21/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 21, "target_native_task_name": "longestMountain:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-84, -80, -66, -74, -78, 69, -57, -88, 44, -91]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n f[i] = f[i - 1] + 1\n ans = 0\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n g[i] = g[i + 1] + 1\n if f[i] > 1:\n ans = max(ans, f[i] + g[i] - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":21,\"native_task_name\":\"longestMountain:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/21/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 21, "target_native_task_name": "longestMountain:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [75, 47, -40, -78, 78, 0, -62, 15, -27, -83]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n f[i] = f[i - 1] + 1\n ans = 0\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n g[i] = g[i + 1] + 1\n if f[i] > 1:\n ans = max(ans, f[i] + g[i] - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":21,\"native_task_name\":\"longestMountain:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/21/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 21, "target_native_task_name": "longestMountain:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-10, 26, -42, 87, 21, 78, -100, -57, -72, -44]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n f[i] = f[i - 1] + 1\n ans = 0\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n g[i] = g[i + 1] + 1\n if f[i] > 1:\n ans = max(ans, f[i] + g[i] - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":21,\"native_task_name\":\"longestMountain:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/21/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 21, "target_native_task_name": "longestMountain:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [39, -34, 74, -52, -87, -64, -48, 53, -92, 30]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n f[i] = f[i - 1] + 1\n ans = 0\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n g[i] = g[i + 1] + 1\n if f[i] > 1:\n ans = max(ans, f[i] + g[i] - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":21,\"native_task_name\":\"longestMountain:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/21/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 21, "target_native_task_name": "longestMountain:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [35, -19, 26, -4, 75, -50, -85, 17, 18, 21]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n f[i] = f[i - 1] + 1\n ans = 0\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n g[i] = g[i + 1] + 1\n if f[i] > 1:\n ans = max(ans, f[i] + g[i] - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":21,\"native_task_name\":\"longestMountain:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/21/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 21, "target_native_task_name": "longestMountain:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-70, 91, 55, 84, 26, -41, 61, -56, 17, 12]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n f[i] = f[i - 1] + 1\n ans = 0\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n g[i] = g[i + 1] + 1\n if f[i] > 1:\n ans = max(ans, f[i] + g[i] - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":21,\"native_task_name\":\"longestMountain:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/21/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 21, "target_native_task_name": "longestMountain:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-44, -97, 47, -91, -61, 24, -63, 51, 12, -58]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n f[i] = f[i - 1] + 1\n ans = 0\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n g[i] = g[i + 1] + 1\n if f[i] > 1:\n ans = max(ans, f[i] + g[i] - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":21,\"native_task_name\":\"longestMountain:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/21/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 21, "target_native_task_name": "longestMountain:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [3, 66, 16, 48, 32, -63, 40, 75, -98, 9]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n f[i] = f[i - 1] + 1\n ans = 0\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n g[i] = g[i + 1] + 1\n if f[i] > 1:\n ans = max(ans, f[i] + g[i] - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":21,\"native_task_name\":\"longestMountain:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/21/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 21, "target_native_task_name": "longestMountain:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [89, -46, 57, -29, 20, -21, 56, 25, 77, 79]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n f[i] = f[i - 1] + 1\n ans = 0\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n g[i] = g[i + 1] + 1\n if f[i] > 1:\n ans = max(ans, f[i] + g[i] - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":21,\"native_task_name\":\"longestMountain:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/21/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 21, "target_native_task_name": "longestMountain:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-78, -59, -44, 17, 49, 41, -71, 16, -59, -7]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n f[i] = f[i - 1] + 1\n ans = 0\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n g[i] = g[i + 1] + 1\n if f[i] > 1:\n ans = max(ans, f[i] + g[i] - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":21,\"native_task_name\":\"longestMountain:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/21/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 21, "target_native_task_name": "longestMountain:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-85, 23, 72, -65, 65, -51, 14, -48, -28, 88]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n f[i] = f[i - 1] + 1\n ans = 0\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n g[i] = g[i + 1] + 1\n if f[i] > 1:\n ans = max(ans, f[i] + g[i] - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":21,\"native_task_name\":\"longestMountain:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/21/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 21, "target_native_task_name": "longestMountain:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-96, -55, 77, 45, 80, -4, -5, -85, -15, -99]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n f[i] = f[i - 1] + 1\n ans = 0\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n g[i] = g[i + 1] + 1\n if f[i] > 1:\n ans = max(ans, f[i] + g[i] - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":21,\"native_task_name\":\"longestMountain:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/21/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 21, "target_native_task_name": "longestMountain:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-36, 75, 80, -29, 28, 76, 32, -83, -67, 81]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n f[i] = f[i - 1] + 1\n ans = 0\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n g[i] = g[i + 1] + 1\n if f[i] > 1:\n ans = max(ans, f[i] + g[i] - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":21,\"native_task_name\":\"longestMountain:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/21/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 21, "target_native_task_name": "longestMountain:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [3, 55, -86, -19, -86, 12, -63, 37, -22, 99]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n if list_1[i] > list_1[i - 1]:\n f[i] = f[i - 1] + 1\n ans = 0\n for i in range(n - 2, -1, -1):\n if list_1[i] > list_1[i + 1]:\n g[i] = g[i + 1] + 1\n if f[i] > 1:\n ans = max(ans, f[i] + g[i] - 1)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":21,\"native_task_name\":\"longestMountain:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/22/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 22, "target_native_task_name": "sortArrayByParity:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-96, 87, 51, -68, -36, 99, 86, -66, 21, -73]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if list_1[i] % 2 == 0:\n i += 1\n elif list_1[j] % 2 == 1:\n j -= 1\n else:\n (list_1[i], list_1[j]) = (list_1[j], list_1[i])\n (i, j) = (i + 1, j - 1)\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-96,-66,86,-68,-36,99,51,87,21,-73]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":22,\"native_task_name\":\"sortArrayByParity:list\",\"output_value\":[-96,-66,86,-68,-36,99,51,87,21,-73]}]"} {"id": "python/single_target_baseline/22/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 22, "target_native_task_name": "sortArrayByParity:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [47, -64, -84, 75, -38, -9, -8, -13, -64, -17]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if list_1[i] % 2 == 0:\n i += 1\n elif list_1[j] % 2 == 1:\n j -= 1\n else:\n (list_1[i], list_1[j]) = (list_1[j], list_1[i])\n (i, j) = (i + 1, j - 1)\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-64,-64,-84,-8,-38,-9,75,-13,47,-17]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":22,\"native_task_name\":\"sortArrayByParity:list\",\"output_value\":[-64,-64,-84,-8,-38,-9,75,-13,47,-17]}]"} {"id": "python/single_target_baseline/22/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 22, "target_native_task_name": "sortArrayByParity:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [10, -95, -26, 24, -32, -70, 12, -1, -23, -70]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if list_1[i] % 2 == 0:\n i += 1\n elif list_1[j] % 2 == 1:\n j -= 1\n else:\n (list_1[i], list_1[j]) = (list_1[j], list_1[i])\n (i, j) = (i + 1, j - 1)\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[10,-70,-26,24,-32,-70,12,-1,-23,-95]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":22,\"native_task_name\":\"sortArrayByParity:list\",\"output_value\":[10,-70,-26,24,-32,-70,12,-1,-23,-95]}]"} {"id": "python/single_target_baseline/22/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 22, "target_native_task_name": "sortArrayByParity:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-37, -70, -6, -1, 20, -66, 7, -18, -22, 35]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if list_1[i] % 2 == 0:\n i += 1\n elif list_1[j] % 2 == 1:\n j -= 1\n else:\n (list_1[i], list_1[j]) = (list_1[j], list_1[i])\n (i, j) = (i + 1, j - 1)\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-22,-70,-6,-18,20,-66,7,-1,-37,35]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":22,\"native_task_name\":\"sortArrayByParity:list\",\"output_value\":[-22,-70,-6,-18,20,-66,7,-1,-37,35]}]"} {"id": "python/single_target_baseline/22/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 22, "target_native_task_name": "sortArrayByParity:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [66, 32, -69, -81, 40, 4, 47, -15, -24, 58]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if list_1[i] % 2 == 0:\n i += 1\n elif list_1[j] % 2 == 1:\n j -= 1\n else:\n (list_1[i], list_1[j]) = (list_1[j], list_1[i])\n (i, j) = (i + 1, j - 1)\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[66,32,58,-24,40,4,47,-15,-81,-69]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":22,\"native_task_name\":\"sortArrayByParity:list\",\"output_value\":[66,32,58,-24,40,4,47,-15,-81,-69]}]"} {"id": "python/single_target_baseline/22/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 22, "target_native_task_name": "sortArrayByParity:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [67, 87, -68, -25, 67, 52, 24, -29, -84, -95]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if list_1[i] % 2 == 0:\n i += 1\n elif list_1[j] % 2 == 1:\n j -= 1\n else:\n (list_1[i], list_1[j]) = (list_1[j], list_1[i])\n (i, j) = (i + 1, j - 1)\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-84,24,-68,52,67,-25,87,-29,67,-95]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":22,\"native_task_name\":\"sortArrayByParity:list\",\"output_value\":[-84,24,-68,52,67,-25,87,-29,67,-95]}]"} {"id": "python/single_target_baseline/22/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 22, "target_native_task_name": "sortArrayByParity:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [38, 28, 66, -26, -22, 22, -95, -36, -74, 51]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if list_1[i] % 2 == 0:\n i += 1\n elif list_1[j] % 2 == 1:\n j -= 1\n else:\n (list_1[i], list_1[j]) = (list_1[j], list_1[i])\n (i, j) = (i + 1, j - 1)\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[38,28,66,-26,-22,22,-74,-36,-95,51]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":22,\"native_task_name\":\"sortArrayByParity:list\",\"output_value\":[38,28,66,-26,-22,22,-74,-36,-95,51]}]"} {"id": "python/single_target_baseline/22/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 22, "target_native_task_name": "sortArrayByParity:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [49, -27, -50, 39, 0, 53, 29, -38, 78, 78]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if list_1[i] % 2 == 0:\n i += 1\n elif list_1[j] % 2 == 1:\n j -= 1\n else:\n (list_1[i], list_1[j]) = (list_1[j], list_1[i])\n (i, j) = (i + 1, j - 1)\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[78,78,-50,-38,0,53,29,39,-27,49]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":22,\"native_task_name\":\"sortArrayByParity:list\",\"output_value\":[78,78,-50,-38,0,53,29,39,-27,49]}]"} {"id": "python/single_target_baseline/22/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 22, "target_native_task_name": "sortArrayByParity:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-81, -86, 39, 77, 89, -3, 16, -79, 74, -20]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if list_1[i] % 2 == 0:\n i += 1\n elif list_1[j] % 2 == 1:\n j -= 1\n else:\n (list_1[i], list_1[j]) = (list_1[j], list_1[i])\n (i, j) = (i + 1, j - 1)\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-20,-86,74,16,89,-3,77,-79,39,-81]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":22,\"native_task_name\":\"sortArrayByParity:list\",\"output_value\":[-20,-86,74,16,89,-3,77,-79,39,-81]}]"} {"id": "python/single_target_baseline/22/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 22, "target_native_task_name": "sortArrayByParity:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-40, -16, -35, 24, -45, -93, -96, 69, -64, 46]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if list_1[i] % 2 == 0:\n i += 1\n elif list_1[j] % 2 == 1:\n j -= 1\n else:\n (list_1[i], list_1[j]) = (list_1[j], list_1[i])\n (i, j) = (i + 1, j - 1)\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-40,-16,46,24,-64,-96,-93,69,-45,-35]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":22,\"native_task_name\":\"sortArrayByParity:list\",\"output_value\":[-40,-16,46,24,-64,-96,-93,69,-45,-35]}]"} {"id": "python/single_target_baseline/22/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 22, "target_native_task_name": "sortArrayByParity:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [70, -42, 47, 69, -43, 0, 58, 37, -78, -13]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if list_1[i] % 2 == 0:\n i += 1\n elif list_1[j] % 2 == 1:\n j -= 1\n else:\n (list_1[i], list_1[j]) = (list_1[j], list_1[i])\n (i, j) = (i + 1, j - 1)\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[70,-42,-78,58,0,-43,69,37,47,-13]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":22,\"native_task_name\":\"sortArrayByParity:list\",\"output_value\":[70,-42,-78,58,0,-43,69,37,47,-13]}]"} {"id": "python/single_target_baseline/22/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 22, "target_native_task_name": "sortArrayByParity:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [96, -63, 69, -69, 17, 43, -49, 31, 57, 34]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if list_1[i] % 2 == 0:\n i += 1\n elif list_1[j] % 2 == 1:\n j -= 1\n else:\n (list_1[i], list_1[j]) = (list_1[j], list_1[i])\n (i, j) = (i + 1, j - 1)\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[96,34,69,-69,17,43,-49,31,57,-63]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":22,\"native_task_name\":\"sortArrayByParity:list\",\"output_value\":[96,34,69,-69,17,43,-49,31,57,-63]}]"} {"id": "python/single_target_baseline/22/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 22, "target_native_task_name": "sortArrayByParity:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-30, 25, 20, 60, -2, 68, -9, -25, -92, 47]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if list_1[i] % 2 == 0:\n i += 1\n elif list_1[j] % 2 == 1:\n j -= 1\n else:\n (list_1[i], list_1[j]) = (list_1[j], list_1[i])\n (i, j) = (i + 1, j - 1)\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-30,-92,20,60,-2,68,-9,-25,25,47]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":22,\"native_task_name\":\"sortArrayByParity:list\",\"output_value\":[-30,-92,20,60,-2,68,-9,-25,25,47]}]"} {"id": "python/single_target_baseline/22/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 22, "target_native_task_name": "sortArrayByParity:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [82, 18, 2, 71, 70, 28, -26, -53, -39, -67]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if list_1[i] % 2 == 0:\n i += 1\n elif list_1[j] % 2 == 1:\n j -= 1\n else:\n (list_1[i], list_1[j]) = (list_1[j], list_1[i])\n (i, j) = (i + 1, j - 1)\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[82,18,2,-26,70,28,71,-53,-39,-67]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":22,\"native_task_name\":\"sortArrayByParity:list\",\"output_value\":[82,18,2,-26,70,28,71,-53,-39,-67]}]"} {"id": "python/single_target_baseline/22/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 22, "target_native_task_name": "sortArrayByParity:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-99, 43, -49, -40, -35, -48, -64, 57, 76, -38]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if list_1[i] % 2 == 0:\n i += 1\n elif list_1[j] % 2 == 1:\n j -= 1\n else:\n (list_1[i], list_1[j]) = (list_1[j], list_1[i])\n (i, j) = (i + 1, j - 1)\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-38,76,-64,-40,-48,-35,-49,57,43,-99]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":22,\"native_task_name\":\"sortArrayByParity:list\",\"output_value\":[-38,76,-64,-40,-48,-35,-49,57,43,-99]}]"} {"id": "python/single_target_baseline/22/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 22, "target_native_task_name": "sortArrayByParity:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [49, -59, -77, -99, -57, -55, 69, -93, -19, 33]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if list_1[i] % 2 == 0:\n i += 1\n elif list_1[j] % 2 == 1:\n j -= 1\n else:\n (list_1[i], list_1[j]) = (list_1[j], list_1[i])\n (i, j) = (i + 1, j - 1)\n python_result_1 = list_1\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[49,-59,-77,-99,-57,-55,69,-93,-19,33]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":22,\"native_task_name\":\"sortArrayByParity:list\",\"output_value\":[49,-59,-77,-99,-57,-55,69,-93,-19,33]}]"} {"id": "python/single_target_baseline/23/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 23, "target_native_task_name": "monotoneIncreasingDigits:scalar", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 96}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n s = list(str(val_1))\n i = 1\n while i < len(s) and s[i - 1] <= s[i]:\n i += 1\n if i < len(s):\n while i and s[i - 1] > s[i]:\n s[i - 1] = str(int(s[i - 1]) - 1)\n i -= 1\n i += 1\n while i < len(s):\n s[i] = '9'\n i += 1\n python_result_1 = int(''.join(s))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "89", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":23,\"native_task_name\":\"monotoneIncreasingDigits:scalar\",\"output_value\":89}]"} {"id": "python/single_target_baseline/23/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 23, "target_native_task_name": "monotoneIncreasingDigits:scalar", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 12}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n s = list(str(val_1))\n i = 1\n while i < len(s) and s[i - 1] <= s[i]:\n i += 1\n if i < len(s):\n while i and s[i - 1] > s[i]:\n s[i - 1] = str(int(s[i - 1]) - 1)\n i -= 1\n i += 1\n while i < len(s):\n s[i] = '9'\n i += 1\n python_result_1 = int(''.join(s))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "12", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":23,\"native_task_name\":\"monotoneIncreasingDigits:scalar\",\"output_value\":12}]"} {"id": "python/single_target_baseline/23/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 23, "target_native_task_name": "monotoneIncreasingDigits:scalar", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -23}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n s = list(str(val_1))\n i = 1\n while i < len(s) and s[i - 1] <= s[i]:\n i += 1\n if i < len(s):\n while i and s[i - 1] > s[i]:\n s[i - 1] = str(int(s[i - 1]) - 1)\n i -= 1\n i += 1\n while i < len(s):\n s[i] = '9'\n i += 1\n python_result_1 = int(''.join(s))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-23", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":23,\"native_task_name\":\"monotoneIncreasingDigits:scalar\",\"output_value\":-23}]"} {"id": "python/single_target_baseline/23/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 23, "target_native_task_name": "monotoneIncreasingDigits:scalar", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -27}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n s = list(str(val_1))\n i = 1\n while i < len(s) and s[i - 1] <= s[i]:\n i += 1\n if i < len(s):\n while i and s[i - 1] > s[i]:\n s[i - 1] = str(int(s[i - 1]) - 1)\n i -= 1\n i += 1\n while i < len(s):\n s[i] = '9'\n i += 1\n python_result_1 = int(''.join(s))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-27", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":23,\"native_task_name\":\"monotoneIncreasingDigits:scalar\",\"output_value\":-27}]"} {"id": "python/single_target_baseline/23/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 23, "target_native_task_name": "monotoneIncreasingDigits:scalar", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -86}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n s = list(str(val_1))\n i = 1\n while i < len(s) and s[i - 1] <= s[i]:\n i += 1\n if i < len(s):\n while i and s[i - 1] > s[i]:\n s[i - 1] = str(int(s[i - 1]) - 1)\n i -= 1\n i += 1\n while i < len(s):\n s[i] = '9'\n i += 1\n python_result_1 = int(''.join(s))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-79", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":23,\"native_task_name\":\"monotoneIncreasingDigits:scalar\",\"output_value\":-79}]"} {"id": "python/single_target_baseline/23/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 23, "target_native_task_name": "monotoneIncreasingDigits:scalar", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -43}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n s = list(str(val_1))\n i = 1\n while i < len(s) and s[i - 1] <= s[i]:\n i += 1\n if i < len(s):\n while i and s[i - 1] > s[i]:\n s[i - 1] = str(int(s[i - 1]) - 1)\n i -= 1\n i += 1\n while i < len(s):\n s[i] = '9'\n i += 1\n python_result_1 = int(''.join(s))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-39", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":23,\"native_task_name\":\"monotoneIncreasingDigits:scalar\",\"output_value\":-39}]"} {"id": "python/single_target_baseline/23/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 23, "target_native_task_name": "monotoneIncreasingDigits:scalar", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -23}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n s = list(str(val_1))\n i = 1\n while i < len(s) and s[i - 1] <= s[i]:\n i += 1\n if i < len(s):\n while i and s[i - 1] > s[i]:\n s[i - 1] = str(int(s[i - 1]) - 1)\n i -= 1\n i += 1\n while i < len(s):\n s[i] = '9'\n i += 1\n python_result_1 = int(''.join(s))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-23", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":23,\"native_task_name\":\"monotoneIncreasingDigits:scalar\",\"output_value\":-23}]"} {"id": "python/single_target_baseline/23/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 23, "target_native_task_name": "monotoneIncreasingDigits:scalar", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -62}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n s = list(str(val_1))\n i = 1\n while i < len(s) and s[i - 1] <= s[i]:\n i += 1\n if i < len(s):\n while i and s[i - 1] > s[i]:\n s[i - 1] = str(int(s[i - 1]) - 1)\n i -= 1\n i += 1\n while i < len(s):\n s[i] = '9'\n i += 1\n python_result_1 = int(''.join(s))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-59", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":23,\"native_task_name\":\"monotoneIncreasingDigits:scalar\",\"output_value\":-59}]"} {"id": "python/single_target_baseline/23/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 23, "target_native_task_name": "monotoneIncreasingDigits:scalar", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -79}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n s = list(str(val_1))\n i = 1\n while i < len(s) and s[i - 1] <= s[i]:\n i += 1\n if i < len(s):\n while i and s[i - 1] > s[i]:\n s[i - 1] = str(int(s[i - 1]) - 1)\n i -= 1\n i += 1\n while i < len(s):\n s[i] = '9'\n i += 1\n python_result_1 = int(''.join(s))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-79", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":23,\"native_task_name\":\"monotoneIncreasingDigits:scalar\",\"output_value\":-79}]"} {"id": "python/single_target_baseline/23/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 23, "target_native_task_name": "monotoneIncreasingDigits:scalar", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 54}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n s = list(str(val_1))\n i = 1\n while i < len(s) and s[i - 1] <= s[i]:\n i += 1\n if i < len(s):\n while i and s[i - 1] > s[i]:\n s[i - 1] = str(int(s[i - 1]) - 1)\n i -= 1\n i += 1\n while i < len(s):\n s[i] = '9'\n i += 1\n python_result_1 = int(''.join(s))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "49", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":23,\"native_task_name\":\"monotoneIncreasingDigits:scalar\",\"output_value\":49}]"} {"id": "python/single_target_baseline/23/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 23, "target_native_task_name": "monotoneIncreasingDigits:scalar", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 60}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n s = list(str(val_1))\n i = 1\n while i < len(s) and s[i - 1] <= s[i]:\n i += 1\n if i < len(s):\n while i and s[i - 1] > s[i]:\n s[i - 1] = str(int(s[i - 1]) - 1)\n i -= 1\n i += 1\n while i < len(s):\n s[i] = '9'\n i += 1\n python_result_1 = int(''.join(s))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "59", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":23,\"native_task_name\":\"monotoneIncreasingDigits:scalar\",\"output_value\":59}]"} {"id": "python/single_target_baseline/23/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 23, "target_native_task_name": "monotoneIncreasingDigits:scalar", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 32}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n s = list(str(val_1))\n i = 1\n while i < len(s) and s[i - 1] <= s[i]:\n i += 1\n if i < len(s):\n while i and s[i - 1] > s[i]:\n s[i - 1] = str(int(s[i - 1]) - 1)\n i -= 1\n i += 1\n while i < len(s):\n s[i] = '9'\n i += 1\n python_result_1 = int(''.join(s))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "29", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":23,\"native_task_name\":\"monotoneIncreasingDigits:scalar\",\"output_value\":29}]"} {"id": "python/single_target_baseline/23/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 23, "target_native_task_name": "monotoneIncreasingDigits:scalar", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -2}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n s = list(str(val_1))\n i = 1\n while i < len(s) and s[i - 1] <= s[i]:\n i += 1\n if i < len(s):\n while i and s[i - 1] > s[i]:\n s[i - 1] = str(int(s[i - 1]) - 1)\n i -= 1\n i += 1\n while i < len(s):\n s[i] = '9'\n i += 1\n python_result_1 = int(''.join(s))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":23,\"native_task_name\":\"monotoneIncreasingDigits:scalar\",\"output_value\":-2}]"} {"id": "python/single_target_baseline/23/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 23, "target_native_task_name": "monotoneIncreasingDigits:scalar", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -16}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n s = list(str(val_1))\n i = 1\n while i < len(s) and s[i - 1] <= s[i]:\n i += 1\n if i < len(s):\n while i and s[i - 1] > s[i]:\n s[i - 1] = str(int(s[i - 1]) - 1)\n i -= 1\n i += 1\n while i < len(s):\n s[i] = '9'\n i += 1\n python_result_1 = int(''.join(s))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-16", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":23,\"native_task_name\":\"monotoneIncreasingDigits:scalar\",\"output_value\":-16}]"} {"id": "python/single_target_baseline/23/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 23, "target_native_task_name": "monotoneIncreasingDigits:scalar", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -17}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n s = list(str(val_1))\n i = 1\n while i < len(s) and s[i - 1] <= s[i]:\n i += 1\n if i < len(s):\n while i and s[i - 1] > s[i]:\n s[i - 1] = str(int(s[i - 1]) - 1)\n i -= 1\n i += 1\n while i < len(s):\n s[i] = '9'\n i += 1\n python_result_1 = int(''.join(s))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-17", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":23,\"native_task_name\":\"monotoneIncreasingDigits:scalar\",\"output_value\":-17}]"} {"id": "python/single_target_baseline/23/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 23, "target_native_task_name": "monotoneIncreasingDigits:scalar", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -12}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n s = list(str(val_1))\n i = 1\n while i < len(s) and s[i - 1] <= s[i]:\n i += 1\n if i < len(s):\n while i and s[i - 1] > s[i]:\n s[i - 1] = str(int(s[i - 1]) - 1)\n i -= 1\n i += 1\n while i < len(s):\n s[i] = '9'\n i += 1\n python_result_1 = int(''.join(s))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-12", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":23,\"native_task_name\":\"monotoneIncreasingDigits:scalar\",\"output_value\":-12}]"} {"id": "python/single_target_baseline/24/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 24, "target_native_task_name": "wiggleMaxLength:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [1, 38, -45, 8, -45, -28, 95, 20, -34, -65]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 1\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n f[i] = max(f[i], g[j] + 1)\n elif list_1[j] > list_1[i]:\n g[i] = max(g[i], f[j] + 1)\n ans = max(ans, f[i], g[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":24,\"native_task_name\":\"wiggleMaxLength:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/24/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 24, "target_native_task_name": "wiggleMaxLength:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-69, -86, 70, -29, -29, 91, 40, -26, -91, -49]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 1\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n f[i] = max(f[i], g[j] + 1)\n elif list_1[j] > list_1[i]:\n g[i] = max(g[i], f[j] + 1)\n ans = max(ans, f[i], g[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":24,\"native_task_name\":\"wiggleMaxLength:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/24/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 24, "target_native_task_name": "wiggleMaxLength:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-45, -4, 66, -76, -15, 85, 20, -86, 24, -40]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 1\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n f[i] = max(f[i], g[j] + 1)\n elif list_1[j] > list_1[i]:\n g[i] = max(g[i], f[j] + 1)\n ans = max(ans, f[i], g[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":24,\"native_task_name\":\"wiggleMaxLength:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/24/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 24, "target_native_task_name": "wiggleMaxLength:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [2, -34, -66, 55, 56, -68, -45, 27, 27, 70]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 1\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n f[i] = max(f[i], g[j] + 1)\n elif list_1[j] > list_1[i]:\n g[i] = max(g[i], f[j] + 1)\n ans = max(ans, f[i], g[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":24,\"native_task_name\":\"wiggleMaxLength:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/24/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 24, "target_native_task_name": "wiggleMaxLength:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [45, 26, 69, 25, 76, -67, 93, 26, 89, -80]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 1\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n f[i] = max(f[i], g[j] + 1)\n elif list_1[j] > list_1[i]:\n g[i] = max(g[i], f[j] + 1)\n ans = max(ans, f[i], g[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":24,\"native_task_name\":\"wiggleMaxLength:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/24/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 24, "target_native_task_name": "wiggleMaxLength:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-56, -74, -45, -59, 98, 70, -78, 25, 20, -24]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 1\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n f[i] = max(f[i], g[j] + 1)\n elif list_1[j] > list_1[i]:\n g[i] = max(g[i], f[j] + 1)\n ans = max(ans, f[i], g[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":24,\"native_task_name\":\"wiggleMaxLength:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/24/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 24, "target_native_task_name": "wiggleMaxLength:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-88, -64, 86, 42, 33, -59, 52, 58, 54, 42]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 1\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n f[i] = max(f[i], g[j] + 1)\n elif list_1[j] > list_1[i]:\n g[i] = max(g[i], f[j] + 1)\n ans = max(ans, f[i], g[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":24,\"native_task_name\":\"wiggleMaxLength:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/24/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 24, "target_native_task_name": "wiggleMaxLength:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-23, 20, 66, 33, -93, 76, 15, 70, -88, 53]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 1\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n f[i] = max(f[i], g[j] + 1)\n elif list_1[j] > list_1[i]:\n g[i] = max(g[i], f[j] + 1)\n ans = max(ans, f[i], g[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":24,\"native_task_name\":\"wiggleMaxLength:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/24/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 24, "target_native_task_name": "wiggleMaxLength:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [46, 22, 30, -11, 85, 78, -17, -37, 44, 29]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 1\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n f[i] = max(f[i], g[j] + 1)\n elif list_1[j] > list_1[i]:\n g[i] = max(g[i], f[j] + 1)\n ans = max(ans, f[i], g[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":24,\"native_task_name\":\"wiggleMaxLength:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/24/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 24, "target_native_task_name": "wiggleMaxLength:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [90, 14, 81, -21, -20, 87, -57, 31, 100, 77]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 1\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n f[i] = max(f[i], g[j] + 1)\n elif list_1[j] > list_1[i]:\n g[i] = max(g[i], f[j] + 1)\n ans = max(ans, f[i], g[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":24,\"native_task_name\":\"wiggleMaxLength:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/24/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 24, "target_native_task_name": "wiggleMaxLength:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-96, -38, 4, -66, 68, 57, -13, 62, -73, 72]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 1\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n f[i] = max(f[i], g[j] + 1)\n elif list_1[j] > list_1[i]:\n g[i] = max(g[i], f[j] + 1)\n ans = max(ans, f[i], g[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":24,\"native_task_name\":\"wiggleMaxLength:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/24/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 24, "target_native_task_name": "wiggleMaxLength:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-91, -86, -74, 97, 20, -83, -18, -45, 25, -14]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 1\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n f[i] = max(f[i], g[j] + 1)\n elif list_1[j] > list_1[i]:\n g[i] = max(g[i], f[j] + 1)\n ans = max(ans, f[i], g[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":24,\"native_task_name\":\"wiggleMaxLength:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/24/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 24, "target_native_task_name": "wiggleMaxLength:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-4, -98, 67, 1, 86, -49, 77, -85, 87, -45]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 1\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n f[i] = max(f[i], g[j] + 1)\n elif list_1[j] > list_1[i]:\n g[i] = max(g[i], f[j] + 1)\n ans = max(ans, f[i], g[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":24,\"native_task_name\":\"wiggleMaxLength:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/24/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 24, "target_native_task_name": "wiggleMaxLength:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-99, -38, -81, 82, 66, -44, -52, -87, 97, -76]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 1\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n f[i] = max(f[i], g[j] + 1)\n elif list_1[j] > list_1[i]:\n g[i] = max(g[i], f[j] + 1)\n ans = max(ans, f[i], g[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":24,\"native_task_name\":\"wiggleMaxLength:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/24/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 24, "target_native_task_name": "wiggleMaxLength:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-83, -67, 85, -22, -19, 93, 15, -90, 33, -67]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 1\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n f[i] = max(f[i], g[j] + 1)\n elif list_1[j] > list_1[i]:\n g[i] = max(g[i], f[j] + 1)\n ans = max(ans, f[i], g[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":24,\"native_task_name\":\"wiggleMaxLength:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/24/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 24, "target_native_task_name": "wiggleMaxLength:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-54, 28, 67, -4, -51, -23, 19, -8, -28, 11]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n ans = 1\n f = [1] * n\n g = [1] * n\n for i in range(1, n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n f[i] = max(f[i], g[j] + 1)\n elif list_1[j] > list_1[i]:\n g[i] = max(g[i], f[j] + 1)\n ans = max(ans, f[i], g[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":24,\"native_task_name\":\"wiggleMaxLength:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/25/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 25, "target_native_task_name": "minArrayLength:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-99, 10, -53, 80, -37, -52, 74, 2, 99, -44]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 48.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n (ans, y) = (1, list_1[0])\n for x in list_1[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= k:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":25,\"native_task_name\":\"minArrayLength:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/25/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 25, "target_native_task_name": "minArrayLength:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-10, 91, 57, 57, 84, -22, -93, 1, -19, -95]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 5.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n (ans, y) = (1, list_1[0])\n for x in list_1[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= k:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":25,\"native_task_name\":\"minArrayLength:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/25/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 25, "target_native_task_name": "minArrayLength:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [25, -82, 43, -82, 94, -13, 73, 82, -73, 38]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -97.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n (ans, y) = (1, list_1[0])\n for x in list_1[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= k:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":25,\"native_task_name\":\"minArrayLength:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/25/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 25, "target_native_task_name": "minArrayLength:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [52, -34, 26, 7, -49, -89, -19, -54, -21, -21]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -57.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n (ans, y) = (1, list_1[0])\n for x in list_1[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= k:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":25,\"native_task_name\":\"minArrayLength:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/25/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 25, "target_native_task_name": "minArrayLength:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-34, 77, 79, 48, 45, -1, 47, 52, 48, -16]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -12.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n (ans, y) = (1, list_1[0])\n for x in list_1[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= k:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":25,\"native_task_name\":\"minArrayLength:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/25/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 25, "target_native_task_name": "minArrayLength:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [30, -8, 17, -67, -27, 68, -40, -70, 18, -47]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 72.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n (ans, y) = (1, list_1[0])\n for x in list_1[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= k:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":25,\"native_task_name\":\"minArrayLength:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/25/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 25, "target_native_task_name": "minArrayLength:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [29, 56, 95, -41, -86, -96, -17, -95, 53, 98]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -12.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n (ans, y) = (1, list_1[0])\n for x in list_1[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= k:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":25,\"native_task_name\":\"minArrayLength:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/25/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 25, "target_native_task_name": "minArrayLength:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-81, -71, -80, 20, 87, -36, 72, -95, 66, -48]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -93.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n (ans, y) = (1, list_1[0])\n for x in list_1[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= k:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":25,\"native_task_name\":\"minArrayLength:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/25/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 25, "target_native_task_name": "minArrayLength:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [76, -6, 93, 38, -82, -91, -30, 5, 28, 91]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 64.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n (ans, y) = (1, list_1[0])\n for x in list_1[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= k:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":25,\"native_task_name\":\"minArrayLength:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/25/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 25, "target_native_task_name": "minArrayLength:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [20, -62, -54, 97, -10, -71, -93, 96, 28, -81]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -91.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n (ans, y) = (1, list_1[0])\n for x in list_1[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= k:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":25,\"native_task_name\":\"minArrayLength:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/25/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 25, "target_native_task_name": "minArrayLength:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [60, -90, -49, -98, -29, -21, -39, 17, -30, 21]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -33.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n (ans, y) = (1, list_1[0])\n for x in list_1[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= k:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":25,\"native_task_name\":\"minArrayLength:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/25/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 25, "target_native_task_name": "minArrayLength:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [7, 43, -26, -28, -80, 2, -91, -17, -29, -54]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -35.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n (ans, y) = (1, list_1[0])\n for x in list_1[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= k:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":25,\"native_task_name\":\"minArrayLength:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/25/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 25, "target_native_task_name": "minArrayLength:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-79, -37, 50, 69, -55, 77, 6, -54, -16, -97]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 98.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n (ans, y) = (1, list_1[0])\n for x in list_1[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= k:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":25,\"native_task_name\":\"minArrayLength:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/25/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 25, "target_native_task_name": "minArrayLength:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-81, 71, -67, -88, 27, 10, 40, -99, 78, 5]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 1.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n (ans, y) = (1, list_1[0])\n for x in list_1[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= k:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":25,\"native_task_name\":\"minArrayLength:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/25/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 25, "target_native_task_name": "minArrayLength:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-74, 21, -10, -21, 21, -47, -14, -51, -44, 49]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 27.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n (ans, y) = (1, list_1[0])\n for x in list_1[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= k:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":25,\"native_task_name\":\"minArrayLength:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/25/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 25, "target_native_task_name": "minArrayLength:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-3, 20, 24, -85, 22, 59, 90, 26, 53, -18]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -93.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n (ans, y) = (1, list_1[0])\n for x in list_1[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= k:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":25,\"native_task_name\":\"minArrayLength:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/26/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 26, "target_native_task_name": "minArrayLength:scalar", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -88}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [75, -50, -66, 68, -14, -38, -99, 87, -67, -39].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n (ans, y) = (1, nums[0])\n for x in nums[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= val_1:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":26,\"native_task_name\":\"minArrayLength:scalar\",\"output_value\":7}]"} {"id": "python/single_target_baseline/26/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 26, "target_native_task_name": "minArrayLength:scalar", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 65}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-18, 56, 91, -55, 88, -74, 92, -20, -53, 58].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n (ans, y) = (1, nums[0])\n for x in nums[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= val_1:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":26,\"native_task_name\":\"minArrayLength:scalar\",\"output_value\":5}]"} {"id": "python/single_target_baseline/26/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 26, "target_native_task_name": "minArrayLength:scalar", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -93}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [75, 21, 38, 71, 77, 60, -66, -91, 52, -93].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n (ans, y) = (1, nums[0])\n for x in nums[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= val_1:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":26,\"native_task_name\":\"minArrayLength:scalar\",\"output_value\":8}]"} {"id": "python/single_target_baseline/26/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 26, "target_native_task_name": "minArrayLength:scalar", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -53}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [28, -18, 2, 98, -57, 23, -71, 74, -67, 42].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n (ans, y) = (1, nums[0])\n for x in nums[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= val_1:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":26,\"native_task_name\":\"minArrayLength:scalar\",\"output_value\":4}]"} {"id": "python/single_target_baseline/26/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 26, "target_native_task_name": "minArrayLength:scalar", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -73}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-21, 21, 78, 27, -65, -18, 52, -32, 18, 83].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n (ans, y) = (1, nums[0])\n for x in nums[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= val_1:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":26,\"native_task_name\":\"minArrayLength:scalar\",\"output_value\":4}]"} {"id": "python/single_target_baseline/26/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 26, "target_native_task_name": "minArrayLength:scalar", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 13}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-49, 80, -34, 45, 20, 52, 97, -96, 20, 35].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n (ans, y) = (1, nums[0])\n for x in nums[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= val_1:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":26,\"native_task_name\":\"minArrayLength:scalar\",\"output_value\":3}]"} {"id": "python/single_target_baseline/26/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 26, "target_native_task_name": "minArrayLength:scalar", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 96}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [39, -42, 47, 34, -83, -79, -4, -1, 34, 27].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n (ans, y) = (1, nums[0])\n for x in nums[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= val_1:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":26,\"native_task_name\":\"minArrayLength:scalar\",\"output_value\":6}]"} {"id": "python/single_target_baseline/26/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 26, "target_native_task_name": "minArrayLength:scalar", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 16}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [100, 58, -86, 59, 69, 8, -52, -7, -76, -4].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n (ans, y) = (1, nums[0])\n for x in nums[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= val_1:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":26,\"native_task_name\":\"minArrayLength:scalar\",\"output_value\":6}]"} {"id": "python/single_target_baseline/26/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 26, "target_native_task_name": "minArrayLength:scalar", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -83}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-42, 86, 95, 61, -89, 31, 86, 84, -43, -31].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n (ans, y) = (1, nums[0])\n for x in nums[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= val_1:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":26,\"native_task_name\":\"minArrayLength:scalar\",\"output_value\":4}]"} {"id": "python/single_target_baseline/26/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 26, "target_native_task_name": "minArrayLength:scalar", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -77}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [33, 59, -86, 81, 50, -61, 15, -29, 69, -79].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n (ans, y) = (1, nums[0])\n for x in nums[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= val_1:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":26,\"native_task_name\":\"minArrayLength:scalar\",\"output_value\":5}]"} {"id": "python/single_target_baseline/26/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 26, "target_native_task_name": "minArrayLength:scalar", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -9}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [37, 41, 23, 8, -14, 72, 54, -80, 61, -50].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n (ans, y) = (1, nums[0])\n for x in nums[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= val_1:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":26,\"native_task_name\":\"minArrayLength:scalar\",\"output_value\":6}]"} {"id": "python/single_target_baseline/26/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 26, "target_native_task_name": "minArrayLength:scalar", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 93}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-25, 50, 74, 22, 72, -90, 41, -82, 63, 60].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n (ans, y) = (1, nums[0])\n for x in nums[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= val_1:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":26,\"native_task_name\":\"minArrayLength:scalar\",\"output_value\":3}]"} {"id": "python/single_target_baseline/26/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 26, "target_native_task_name": "minArrayLength:scalar", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 5}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [18, -72, 88, -88, -50, 10, -97, 7, 89, -27].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n (ans, y) = (1, nums[0])\n for x in nums[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= val_1:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":26,\"native_task_name\":\"minArrayLength:scalar\",\"output_value\":5}]"} {"id": "python/single_target_baseline/26/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 26, "target_native_task_name": "minArrayLength:scalar", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -17}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [9, -97, -13, 47, 30, -98, -88, -82, 92, -44].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n (ans, y) = (1, nums[0])\n for x in nums[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= val_1:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":26,\"native_task_name\":\"minArrayLength:scalar\",\"output_value\":6}]"} {"id": "python/single_target_baseline/26/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 26, "target_native_task_name": "minArrayLength:scalar", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -36}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [93, 25, -71, 17, 59, 60, -55, 56, 44, 64].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n (ans, y) = (1, nums[0])\n for x in nums[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= val_1:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":26,\"native_task_name\":\"minArrayLength:scalar\",\"output_value\":3}]"} {"id": "python/single_target_baseline/26/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 26, "target_native_task_name": "minArrayLength:scalar", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 98}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [38, 42, -69, -70, 48, -99, 23, -91, -1, 47].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n (ans, y) = (1, nums[0])\n for x in nums[1:]:\n if x == 0:\n python_result_1 = 1\n return python_result_1\n if x * y <= val_1:\n y *= x\n else:\n y = x\n ans += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":26,\"native_task_name\":\"minArrayLength:scalar\",\"output_value\":6}]"} {"id": "python/single_target_baseline/27/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 27, "target_native_task_name": "sumFourDivisors:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [38, 89, -13, 90, 50, -88, 12, 88, -72, 38]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def f(x: int) -> int:\n i = 2\n (cnt, s) = (2, x + 1)\n while i <= x // i:\n if x % i == 0:\n cnt += 1\n s += i\n if i * i != x:\n cnt += 1\n s += x // i\n i += 1\n return s if cnt == 4 else 0\n python_result_1 = sum((f(x) for x in list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "120", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":27,\"native_task_name\":\"sumFourDivisors:list\",\"output_value\":120}]"} {"id": "python/single_target_baseline/27/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 27, "target_native_task_name": "sumFourDivisors:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [78, 100, -96, 86, -94, 99, -48, -61, 91, -44]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def f(x: int) -> int:\n i = 2\n (cnt, s) = (2, x + 1)\n while i <= x // i:\n if x % i == 0:\n cnt += 1\n s += i\n if i * i != x:\n cnt += 1\n s += x // i\n i += 1\n return s if cnt == 4 else 0\n python_result_1 = sum((f(x) for x in list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "244", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":27,\"native_task_name\":\"sumFourDivisors:list\",\"output_value\":244}]"} {"id": "python/single_target_baseline/27/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 27, "target_native_task_name": "sumFourDivisors:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [63, -73, 29, 52, 54, 89, -22, -72, 33, -94]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def f(x: int) -> int:\n i = 2\n (cnt, s) = (2, x + 1)\n while i <= x // i:\n if x % i == 0:\n cnt += 1\n s += i\n if i * i != x:\n cnt += 1\n s += x // i\n i += 1\n return s if cnt == 4 else 0\n python_result_1 = sum((f(x) for x in list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "48", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":27,\"native_task_name\":\"sumFourDivisors:list\",\"output_value\":48}]"} {"id": "python/single_target_baseline/27/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 27, "target_native_task_name": "sumFourDivisors:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [46, 78, -90, 67, 89, 39, 47, 93, -41, -77]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def f(x: int) -> int:\n i = 2\n (cnt, s) = (2, x + 1)\n while i <= x // i:\n if x % i == 0:\n cnt += 1\n s += i\n if i * i != x:\n cnt += 1\n s += x // i\n i += 1\n return s if cnt == 4 else 0\n python_result_1 = sum((f(x) for x in list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "256", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":27,\"native_task_name\":\"sumFourDivisors:list\",\"output_value\":256}]"} {"id": "python/single_target_baseline/27/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 27, "target_native_task_name": "sumFourDivisors:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [12, 44, -10, 53, -94, 23, 47, 80, 22, 48]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def f(x: int) -> int:\n i = 2\n (cnt, s) = (2, x + 1)\n while i <= x // i:\n if x % i == 0:\n cnt += 1\n s += i\n if i * i != x:\n cnt += 1\n s += x // i\n i += 1\n return s if cnt == 4 else 0\n python_result_1 = sum((f(x) for x in list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "36", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":27,\"native_task_name\":\"sumFourDivisors:list\",\"output_value\":36}]"} {"id": "python/single_target_baseline/27/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 27, "target_native_task_name": "sumFourDivisors:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-14, 0, 8, 36, 71, -89, 31, -3, -87, -41]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def f(x: int) -> int:\n i = 2\n (cnt, s) = (2, x + 1)\n while i <= x // i:\n if x % i == 0:\n cnt += 1\n s += i\n if i * i != x:\n cnt += 1\n s += x // i\n i += 1\n return s if cnt == 4 else 0\n python_result_1 = sum((f(x) for x in list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "15", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":27,\"native_task_name\":\"sumFourDivisors:list\",\"output_value\":15}]"} {"id": "python/single_target_baseline/27/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 27, "target_native_task_name": "sumFourDivisors:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [55, 86, -3, 2, 67, -19, -77, 47, -92, -85]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def f(x: int) -> int:\n i = 2\n (cnt, s) = (2, x + 1)\n while i <= x // i:\n if x % i == 0:\n cnt += 1\n s += i\n if i * i != x:\n cnt += 1\n s += x // i\n i += 1\n return s if cnt == 4 else 0\n python_result_1 = sum((f(x) for x in list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "204", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":27,\"native_task_name\":\"sumFourDivisors:list\",\"output_value\":204}]"} {"id": "python/single_target_baseline/27/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 27, "target_native_task_name": "sumFourDivisors:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [42, 78, -1, -37, -40, -13, -72, 91, 56, 3]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def f(x: int) -> int:\n i = 2\n (cnt, s) = (2, x + 1)\n while i <= x // i:\n if x % i == 0:\n cnt += 1\n s += i\n if i * i != x:\n cnt += 1\n s += x // i\n i += 1\n return s if cnt == 4 else 0\n python_result_1 = sum((f(x) for x in list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "112", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":27,\"native_task_name\":\"sumFourDivisors:list\",\"output_value\":112}]"} {"id": "python/single_target_baseline/27/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 27, "target_native_task_name": "sumFourDivisors:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-16, -48, -34, -100, -97, 55, -64, -76, 92, 98]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def f(x: int) -> int:\n i = 2\n (cnt, s) = (2, x + 1)\n while i <= x // i:\n if x % i == 0:\n cnt += 1\n s += i\n if i * i != x:\n cnt += 1\n s += x // i\n i += 1\n return s if cnt == 4 else 0\n python_result_1 = sum((f(x) for x in list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "72", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":27,\"native_task_name\":\"sumFourDivisors:list\",\"output_value\":72}]"} {"id": "python/single_target_baseline/27/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 27, "target_native_task_name": "sumFourDivisors:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [68, 24, 67, -39, 15, 28, 71, 20, -52, 59]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def f(x: int) -> int:\n i = 2\n (cnt, s) = (2, x + 1)\n while i <= x // i:\n if x % i == 0:\n cnt += 1\n s += i\n if i * i != x:\n cnt += 1\n s += x // i\n i += 1\n return s if cnt == 4 else 0\n python_result_1 = sum((f(x) for x in list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "24", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":27,\"native_task_name\":\"sumFourDivisors:list\",\"output_value\":24}]"} {"id": "python/single_target_baseline/27/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 27, "target_native_task_name": "sumFourDivisors:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-36, 53, 22, -3, 7, 28, -44, -6, 38, 36]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def f(x: int) -> int:\n i = 2\n (cnt, s) = (2, x + 1)\n while i <= x // i:\n if x % i == 0:\n cnt += 1\n s += i\n if i * i != x:\n cnt += 1\n s += x // i\n i += 1\n return s if cnt == 4 else 0\n python_result_1 = sum((f(x) for x in list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "96", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":27,\"native_task_name\":\"sumFourDivisors:list\",\"output_value\":96}]"} {"id": "python/single_target_baseline/27/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 27, "target_native_task_name": "sumFourDivisors:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-50, -85, 88, -68, -22, -89, 69, -39, -2, -94]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def f(x: int) -> int:\n i = 2\n (cnt, s) = (2, x + 1)\n while i <= x // i:\n if x % i == 0:\n cnt += 1\n s += i\n if i * i != x:\n cnt += 1\n s += x // i\n i += 1\n return s if cnt == 4 else 0\n python_result_1 = sum((f(x) for x in list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "96", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":27,\"native_task_name\":\"sumFourDivisors:list\",\"output_value\":96}]"} {"id": "python/single_target_baseline/27/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 27, "target_native_task_name": "sumFourDivisors:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [38, -1, 20, 2, -39, 100, 54, -53, 68, 6]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def f(x: int) -> int:\n i = 2\n (cnt, s) = (2, x + 1)\n while i <= x // i:\n if x % i == 0:\n cnt += 1\n s += i\n if i * i != x:\n cnt += 1\n s += x // i\n i += 1\n return s if cnt == 4 else 0\n python_result_1 = sum((f(x) for x in list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "72", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":27,\"native_task_name\":\"sumFourDivisors:list\",\"output_value\":72}]"} {"id": "python/single_target_baseline/27/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 27, "target_native_task_name": "sumFourDivisors:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [5, 69, 68, -17, 46, 49, 57, -23, 54, 84]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def f(x: int) -> int:\n i = 2\n (cnt, s) = (2, x + 1)\n while i <= x // i:\n if x % i == 0:\n cnt += 1\n s += i\n if i * i != x:\n cnt += 1\n s += x // i\n i += 1\n return s if cnt == 4 else 0\n python_result_1 = sum((f(x) for x in list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "248", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":27,\"native_task_name\":\"sumFourDivisors:list\",\"output_value\":248}]"} {"id": "python/single_target_baseline/27/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 27, "target_native_task_name": "sumFourDivisors:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [22, 96, 32, -33, 80, 43, 72, -37, -70, 55]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def f(x: int) -> int:\n i = 2\n (cnt, s) = (2, x + 1)\n while i <= x // i:\n if x % i == 0:\n cnt += 1\n s += i\n if i * i != x:\n cnt += 1\n s += x // i\n i += 1\n return s if cnt == 4 else 0\n python_result_1 = sum((f(x) for x in list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "108", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":27,\"native_task_name\":\"sumFourDivisors:list\",\"output_value\":108}]"} {"id": "python/single_target_baseline/27/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 27, "target_native_task_name": "sumFourDivisors:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-33, 70, -77, 44, 43, 28, 5, -40, 94, -88]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def f(x: int) -> int:\n i = 2\n (cnt, s) = (2, x + 1)\n while i <= x // i:\n if x % i == 0:\n cnt += 1\n s += i\n if i * i != x:\n cnt += 1\n s += x // i\n i += 1\n return s if cnt == 4 else 0\n python_result_1 = sum((f(x) for x in list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "144", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":27,\"native_task_name\":\"sumFourDivisors:list\",\"output_value\":144}]"} {"id": "python/single_target_baseline/28/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 28, "target_native_task_name": "pancakeSort:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [70, 69, 59, -47, 40, 36, 26, 20, -27, -15]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n def reverse(arr, j):\n i = 0\n while i < j:\n (arr[i], arr[j]) = (arr[j], arr[i])\n (i, j) = (i + 1, j - 1)\n n = len(list_1)\n ans = []\n for i in range(n - 1, 0, -1):\n j = i\n while j > 0 and list_1[j] != i + 1:\n j -= 1\n if j < i:\n if j > 0:\n ans.append(j + 1)\n reverse(list_1, j)\n ans.append(i + 1)\n reverse(list_1, i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[10,9,8,7,6,5,4,3,2]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":28,\"native_task_name\":\"pancakeSort:list\",\"output_value\":[10,9,8,7,6,5,4,3,2]}]"} {"id": "python/single_target_baseline/28/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 28, "target_native_task_name": "pancakeSort:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-22, -95, 93, -80, 68, 95, -87, -52, -50, -99]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n def reverse(arr, j):\n i = 0\n while i < j:\n (arr[i], arr[j]) = (arr[j], arr[i])\n (i, j) = (i + 1, j - 1)\n n = len(list_1)\n ans = []\n for i in range(n - 1, 0, -1):\n j = i\n while j > 0 and list_1[j] != i + 1:\n j -= 1\n if j < i:\n if j > 0:\n ans.append(j + 1)\n reverse(list_1, j)\n ans.append(i + 1)\n reverse(list_1, i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[10,9,8,7,6,5,4,3,2]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":28,\"native_task_name\":\"pancakeSort:list\",\"output_value\":[10,9,8,7,6,5,4,3,2]}]"} {"id": "python/single_target_baseline/28/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 28, "target_native_task_name": "pancakeSort:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [26, 0, -31, 28, -85, 96, 26, -50, 18, 36]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n def reverse(arr, j):\n i = 0\n while i < j:\n (arr[i], arr[j]) = (arr[j], arr[i])\n (i, j) = (i + 1, j - 1)\n n = len(list_1)\n ans = []\n for i in range(n - 1, 0, -1):\n j = i\n while j > 0 and list_1[j] != i + 1:\n j -= 1\n if j < i:\n if j > 0:\n ans.append(j + 1)\n reverse(list_1, j)\n ans.append(i + 1)\n reverse(list_1, i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[10,9,8,7,6,5,4,3,2]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":28,\"native_task_name\":\"pancakeSort:list\",\"output_value\":[10,9,8,7,6,5,4,3,2]}]"} {"id": "python/single_target_baseline/28/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 28, "target_native_task_name": "pancakeSort:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-3, 62, -56, -25, 93, -58, -84, -19, 65, -52]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n def reverse(arr, j):\n i = 0\n while i < j:\n (arr[i], arr[j]) = (arr[j], arr[i])\n (i, j) = (i + 1, j - 1)\n n = len(list_1)\n ans = []\n for i in range(n - 1, 0, -1):\n j = i\n while j > 0 and list_1[j] != i + 1:\n j -= 1\n if j < i:\n if j > 0:\n ans.append(j + 1)\n reverse(list_1, j)\n ans.append(i + 1)\n reverse(list_1, i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[10,9,8,7,6,5,4,3,2]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":28,\"native_task_name\":\"pancakeSort:list\",\"output_value\":[10,9,8,7,6,5,4,3,2]}]"} {"id": "python/single_target_baseline/28/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 28, "target_native_task_name": "pancakeSort:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-91, 0, -6, -79, -97, -26, 66, -68, 50, -68]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n def reverse(arr, j):\n i = 0\n while i < j:\n (arr[i], arr[j]) = (arr[j], arr[i])\n (i, j) = (i + 1, j - 1)\n n = len(list_1)\n ans = []\n for i in range(n - 1, 0, -1):\n j = i\n while j > 0 and list_1[j] != i + 1:\n j -= 1\n if j < i:\n if j > 0:\n ans.append(j + 1)\n reverse(list_1, j)\n ans.append(i + 1)\n reverse(list_1, i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[10,9,8,7,6,5,4,3,2]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":28,\"native_task_name\":\"pancakeSort:list\",\"output_value\":[10,9,8,7,6,5,4,3,2]}]"} {"id": "python/single_target_baseline/28/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 28, "target_native_task_name": "pancakeSort:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [81, -94, -13, 69, 71, -78, -82, -19, 95, 38]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n def reverse(arr, j):\n i = 0\n while i < j:\n (arr[i], arr[j]) = (arr[j], arr[i])\n (i, j) = (i + 1, j - 1)\n n = len(list_1)\n ans = []\n for i in range(n - 1, 0, -1):\n j = i\n while j > 0 and list_1[j] != i + 1:\n j -= 1\n if j < i:\n if j > 0:\n ans.append(j + 1)\n reverse(list_1, j)\n ans.append(i + 1)\n reverse(list_1, i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[10,9,8,7,6,5,4,3,2]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":28,\"native_task_name\":\"pancakeSort:list\",\"output_value\":[10,9,8,7,6,5,4,3,2]}]"} {"id": "python/single_target_baseline/28/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 28, "target_native_task_name": "pancakeSort:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [98, 23, 80, 5, 58, 23, 27, -64, 84, 1]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n def reverse(arr, j):\n i = 0\n while i < j:\n (arr[i], arr[j]) = (arr[j], arr[i])\n (i, j) = (i + 1, j - 1)\n n = len(list_1)\n ans = []\n for i in range(n - 1, 0, -1):\n j = i\n while j > 0 and list_1[j] != i + 1:\n j -= 1\n if j < i:\n if j > 0:\n ans.append(j + 1)\n reverse(list_1, j)\n ans.append(i + 1)\n reverse(list_1, i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[10,9,8,7,6,4,3,2]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":28,\"native_task_name\":\"pancakeSort:list\",\"output_value\":[10,9,8,7,6,4,3,2]}]"} {"id": "python/single_target_baseline/28/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 28, "target_native_task_name": "pancakeSort:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [74, 86, 4, 58, 34, 98, -12, 55, 93, -56]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n def reverse(arr, j):\n i = 0\n while i < j:\n (arr[i], arr[j]) = (arr[j], arr[i])\n (i, j) = (i + 1, j - 1)\n n = len(list_1)\n ans = []\n for i in range(n - 1, 0, -1):\n j = i\n while j > 0 and list_1[j] != i + 1:\n j -= 1\n if j < i:\n if j > 0:\n ans.append(j + 1)\n reverse(list_1, j)\n ans.append(i + 1)\n reverse(list_1, i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[10,9,8,7,6,5,4,3,2]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":28,\"native_task_name\":\"pancakeSort:list\",\"output_value\":[10,9,8,7,6,5,4,3,2]}]"} {"id": "python/single_target_baseline/28/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 28, "target_native_task_name": "pancakeSort:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [58, -62, -4, 86, -39, -40, 94, 77, 17, 73]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n def reverse(arr, j):\n i = 0\n while i < j:\n (arr[i], arr[j]) = (arr[j], arr[i])\n (i, j) = (i + 1, j - 1)\n n = len(list_1)\n ans = []\n for i in range(n - 1, 0, -1):\n j = i\n while j > 0 and list_1[j] != i + 1:\n j -= 1\n if j < i:\n if j > 0:\n ans.append(j + 1)\n reverse(list_1, j)\n ans.append(i + 1)\n reverse(list_1, i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[10,9,8,7,6,5,4,3,2]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":28,\"native_task_name\":\"pancakeSort:list\",\"output_value\":[10,9,8,7,6,5,4,3,2]}]"} {"id": "python/single_target_baseline/28/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 28, "target_native_task_name": "pancakeSort:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [100, -26, -40, -29, -96, -56, 83, -100, -29, -96]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n def reverse(arr, j):\n i = 0\n while i < j:\n (arr[i], arr[j]) = (arr[j], arr[i])\n (i, j) = (i + 1, j - 1)\n n = len(list_1)\n ans = []\n for i in range(n - 1, 0, -1):\n j = i\n while j > 0 and list_1[j] != i + 1:\n j -= 1\n if j < i:\n if j > 0:\n ans.append(j + 1)\n reverse(list_1, j)\n ans.append(i + 1)\n reverse(list_1, i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[10,9,8,7,6,5,4,3,2]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":28,\"native_task_name\":\"pancakeSort:list\",\"output_value\":[10,9,8,7,6,5,4,3,2]}]"} {"id": "python/single_target_baseline/28/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 28, "target_native_task_name": "pancakeSort:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-55, 26, 74, -30, 13, 86, 67, 67, -41, 41]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n def reverse(arr, j):\n i = 0\n while i < j:\n (arr[i], arr[j]) = (arr[j], arr[i])\n (i, j) = (i + 1, j - 1)\n n = len(list_1)\n ans = []\n for i in range(n - 1, 0, -1):\n j = i\n while j > 0 and list_1[j] != i + 1:\n j -= 1\n if j < i:\n if j > 0:\n ans.append(j + 1)\n reverse(list_1, j)\n ans.append(i + 1)\n reverse(list_1, i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[10,9,8,7,6,5,4,3,2]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":28,\"native_task_name\":\"pancakeSort:list\",\"output_value\":[10,9,8,7,6,5,4,3,2]}]"} {"id": "python/single_target_baseline/28/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 28, "target_native_task_name": "pancakeSort:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-15, 9, -45, 76, -60, 97, 24, 50, -19, -45]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n def reverse(arr, j):\n i = 0\n while i < j:\n (arr[i], arr[j]) = (arr[j], arr[i])\n (i, j) = (i + 1, j - 1)\n n = len(list_1)\n ans = []\n for i in range(n - 1, 0, -1):\n j = i\n while j > 0 and list_1[j] != i + 1:\n j -= 1\n if j < i:\n if j > 0:\n ans.append(j + 1)\n reverse(list_1, j)\n ans.append(i + 1)\n reverse(list_1, i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[10,8,7,6,5,4,3,2]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":28,\"native_task_name\":\"pancakeSort:list\",\"output_value\":[10,8,7,6,5,4,3,2]}]"} {"id": "python/single_target_baseline/28/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 28, "target_native_task_name": "pancakeSort:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-78, 43, -22, 86, 72, 4, 96, -80, -67, -30]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n def reverse(arr, j):\n i = 0\n while i < j:\n (arr[i], arr[j]) = (arr[j], arr[i])\n (i, j) = (i + 1, j - 1)\n n = len(list_1)\n ans = []\n for i in range(n - 1, 0, -1):\n j = i\n while j > 0 and list_1[j] != i + 1:\n j -= 1\n if j < i:\n if j > 0:\n ans.append(j + 1)\n reverse(list_1, j)\n ans.append(i + 1)\n reverse(list_1, i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[10,9,8,7,6,5,3,4,3,2]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":28,\"native_task_name\":\"pancakeSort:list\",\"output_value\":[10,9,8,7,6,5,3,4,3,2]}]"} {"id": "python/single_target_baseline/28/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 28, "target_native_task_name": "pancakeSort:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-26, 18, 80, -29, 9, 70, 93, -47, -7, 23]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n def reverse(arr, j):\n i = 0\n while i < j:\n (arr[i], arr[j]) = (arr[j], arr[i])\n (i, j) = (i + 1, j - 1)\n n = len(list_1)\n ans = []\n for i in range(n - 1, 0, -1):\n j = i\n while j > 0 and list_1[j] != i + 1:\n j -= 1\n if j < i:\n if j > 0:\n ans.append(j + 1)\n reverse(list_1, j)\n ans.append(i + 1)\n reverse(list_1, i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[10,6,9,8,7,6,5,4,3,2]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":28,\"native_task_name\":\"pancakeSort:list\",\"output_value\":[10,6,9,8,7,6,5,4,3,2]}]"} {"id": "python/single_target_baseline/28/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 28, "target_native_task_name": "pancakeSort:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-96, 37, -59, 63, -30, 82, 91, 80, -38, -61]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n def reverse(arr, j):\n i = 0\n while i < j:\n (arr[i], arr[j]) = (arr[j], arr[i])\n (i, j) = (i + 1, j - 1)\n n = len(list_1)\n ans = []\n for i in range(n - 1, 0, -1):\n j = i\n while j > 0 and list_1[j] != i + 1:\n j -= 1\n if j < i:\n if j > 0:\n ans.append(j + 1)\n reverse(list_1, j)\n ans.append(i + 1)\n reverse(list_1, i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[10,9,8,7,6,5,4,3,2]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":28,\"native_task_name\":\"pancakeSort:list\",\"output_value\":[10,9,8,7,6,5,4,3,2]}]"} {"id": "python/single_target_baseline/28/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 28, "target_native_task_name": "pancakeSort:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-19, 66, -28, -99, -24, 56, -73, -11, -70, -89]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n def reverse(arr, j):\n i = 0\n while i < j:\n (arr[i], arr[j]) = (arr[j], arr[i])\n (i, j) = (i + 1, j - 1)\n n = len(list_1)\n ans = []\n for i in range(n - 1, 0, -1):\n j = i\n while j > 0 and list_1[j] != i + 1:\n j -= 1\n if j < i:\n if j > 0:\n ans.append(j + 1)\n reverse(list_1, j)\n ans.append(i + 1)\n reverse(list_1, i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[10,9,8,7,6,5,4,3,2]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":28,\"native_task_name\":\"pancakeSort:list\",\"output_value\":[10,9,8,7,6,5,4,3,2]}]"} {"id": "python/single_target_baseline/29/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 29, "target_native_task_name": "findMin:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-12, -96, -44, -45, 46, -98, 55, -91, 77, 77]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n if list_1[0] <= list_1[-1]:\n python_result_1 = list_1[0]\n return python_result_1\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[0] <= list_1[mid]:\n left = mid + 1\n else:\n right = mid\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-12", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":29,\"native_task_name\":\"findMin:list\",\"output_value\":-12}]"} {"id": "python/single_target_baseline/29/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 29, "target_native_task_name": "findMin:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [51, 35, 64, 76, -63, 91, -17, -29, -55, -4]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n if list_1[0] <= list_1[-1]:\n python_result_1 = list_1[0]\n return python_result_1\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[0] <= list_1[mid]:\n left = mid + 1\n else:\n right = mid\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-63", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":29,\"native_task_name\":\"findMin:list\",\"output_value\":-63}]"} {"id": "python/single_target_baseline/29/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 29, "target_native_task_name": "findMin:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [91, 68, -50, -29, 79, -23, 18, 55, 80, -98]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n if list_1[0] <= list_1[-1]:\n python_result_1 = list_1[0]\n return python_result_1\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[0] <= list_1[mid]:\n left = mid + 1\n else:\n right = mid\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "68", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":29,\"native_task_name\":\"findMin:list\",\"output_value\":68}]"} {"id": "python/single_target_baseline/29/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 29, "target_native_task_name": "findMin:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-17, 86, 97, -63, -3, 51, -87, 59, 28, 53]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n if list_1[0] <= list_1[-1]:\n python_result_1 = list_1[0]\n return python_result_1\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[0] <= list_1[mid]:\n left = mid + 1\n else:\n right = mid\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-17", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":29,\"native_task_name\":\"findMin:list\",\"output_value\":-17}]"} {"id": "python/single_target_baseline/29/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 29, "target_native_task_name": "findMin:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-31, -33, 90, -6, -46, -92, -68, -63, -26, -14]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n if list_1[0] <= list_1[-1]:\n python_result_1 = list_1[0]\n return python_result_1\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[0] <= list_1[mid]:\n left = mid + 1\n else:\n right = mid\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-31", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":29,\"native_task_name\":\"findMin:list\",\"output_value\":-31}]"} {"id": "python/single_target_baseline/29/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 29, "target_native_task_name": "findMin:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-96, -21, -87, 60, 1, -44, 93, -63, -13, 50]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n if list_1[0] <= list_1[-1]:\n python_result_1 = list_1[0]\n return python_result_1\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[0] <= list_1[mid]:\n left = mid + 1\n else:\n right = mid\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-96", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":29,\"native_task_name\":\"findMin:list\",\"output_value\":-96}]"} {"id": "python/single_target_baseline/29/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 29, "target_native_task_name": "findMin:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-48, 69, 32, 38, -14, -11, 56, -99, -24, -68]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n if list_1[0] <= list_1[-1]:\n python_result_1 = list_1[0]\n return python_result_1\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[0] <= list_1[mid]:\n left = mid + 1\n else:\n right = mid\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-99", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":29,\"native_task_name\":\"findMin:list\",\"output_value\":-99}]"} {"id": "python/single_target_baseline/29/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 29, "target_native_task_name": "findMin:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-10, -32, -9, -40, 64, -21, 94, 92, -54, 63]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n if list_1[0] <= list_1[-1]:\n python_result_1 = list_1[0]\n return python_result_1\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[0] <= list_1[mid]:\n left = mid + 1\n else:\n right = mid\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":29,\"native_task_name\":\"findMin:list\",\"output_value\":-10}]"} {"id": "python/single_target_baseline/29/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 29, "target_native_task_name": "findMin:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-53, -78, 31, -19, -96, -60, -75, 31, -58, -74]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n if list_1[0] <= list_1[-1]:\n python_result_1 = list_1[0]\n return python_result_1\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[0] <= list_1[mid]:\n left = mid + 1\n else:\n right = mid\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-96", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":29,\"native_task_name\":\"findMin:list\",\"output_value\":-96}]"} {"id": "python/single_target_baseline/29/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 29, "target_native_task_name": "findMin:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-65, -44, 55, -87, 39, 33, 96, 22, -84, 7]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n if list_1[0] <= list_1[-1]:\n python_result_1 = list_1[0]\n return python_result_1\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[0] <= list_1[mid]:\n left = mid + 1\n else:\n right = mid\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-65", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":29,\"native_task_name\":\"findMin:list\",\"output_value\":-65}]"} {"id": "python/single_target_baseline/29/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 29, "target_native_task_name": "findMin:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-45, 64, 65, 18, -58, 44, 52, -90, -31, 83]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n if list_1[0] <= list_1[-1]:\n python_result_1 = list_1[0]\n return python_result_1\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[0] <= list_1[mid]:\n left = mid + 1\n else:\n right = mid\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-45", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":29,\"native_task_name\":\"findMin:list\",\"output_value\":-45}]"} {"id": "python/single_target_baseline/29/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 29, "target_native_task_name": "findMin:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-40, -7, -52, 42, 48, -61, 13, 96, 10, -63]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n if list_1[0] <= list_1[-1]:\n python_result_1 = list_1[0]\n return python_result_1\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[0] <= list_1[mid]:\n left = mid + 1\n else:\n right = mid\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-63", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":29,\"native_task_name\":\"findMin:list\",\"output_value\":-63}]"} {"id": "python/single_target_baseline/29/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 29, "target_native_task_name": "findMin:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [68, -36, 31, -52, -53, 81, -5, 94, 56, -57]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n if list_1[0] <= list_1[-1]:\n python_result_1 = list_1[0]\n return python_result_1\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[0] <= list_1[mid]:\n left = mid + 1\n else:\n right = mid\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-36", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":29,\"native_task_name\":\"findMin:list\",\"output_value\":-36}]"} {"id": "python/single_target_baseline/29/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 29, "target_native_task_name": "findMin:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-70, 100, 23, 20, -59, -29, -8, 57, -47, 44]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n if list_1[0] <= list_1[-1]:\n python_result_1 = list_1[0]\n return python_result_1\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[0] <= list_1[mid]:\n left = mid + 1\n else:\n right = mid\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-70", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":29,\"native_task_name\":\"findMin:list\",\"output_value\":-70}]"} {"id": "python/single_target_baseline/29/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 29, "target_native_task_name": "findMin:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-9, -81, 39, -71, -71, -48, 52, -1, -70, 61]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n if list_1[0] <= list_1[-1]:\n python_result_1 = list_1[0]\n return python_result_1\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[0] <= list_1[mid]:\n left = mid + 1\n else:\n right = mid\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":29,\"native_task_name\":\"findMin:list\",\"output_value\":-9}]"} {"id": "python/single_target_baseline/29/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 29, "target_native_task_name": "findMin:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [3, 27, 62, -27, -56, -7, 23, 92, 74, 45]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n if list_1[0] <= list_1[-1]:\n python_result_1 = list_1[0]\n return python_result_1\n (left, right) = (0, len(list_1) - 1)\n while left < right:\n mid = left + right >> 1\n if list_1[0] <= list_1[mid]:\n left = mid + 1\n else:\n right = mid\n python_result_1 = list_1[left]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":29,\"native_task_name\":\"findMin:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/30/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 30, "target_native_task_name": "maxArea:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-24, 91, -77, -5, -49, -46, 65, 45, 3, -97]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (l, r) = (0, len(list_1) - 1)\n ans = 0\n while l < r:\n t = min(list_1[l], list_1[r]) * (r - l)\n ans = max(ans, t)\n if list_1[l] < list_1[r]:\n l += 1\n else:\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "325", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":30,\"native_task_name\":\"maxArea:list\",\"output_value\":325}]"} {"id": "python/single_target_baseline/30/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 30, "target_native_task_name": "maxArea:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [30, -54, -83, 1, 69, -89, 30, 90, 100, 7]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (l, r) = (0, len(list_1) - 1)\n ans = 0\n while l < r:\n t = min(list_1[l], list_1[r]) * (r - l)\n ans = max(ans, t)\n if list_1[l] < list_1[r]:\n l += 1\n else:\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "210", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":30,\"native_task_name\":\"maxArea:list\",\"output_value\":210}]"} {"id": "python/single_target_baseline/30/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 30, "target_native_task_name": "maxArea:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [24, 32, 6, -36, -75, 94, 31, -23, 41, -55]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (l, r) = (0, len(list_1) - 1)\n ans = 0\n while l < r:\n t = min(list_1[l], list_1[r]) * (r - l)\n ans = max(ans, t)\n if list_1[l] < list_1[r]:\n l += 1\n else:\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "224", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":30,\"native_task_name\":\"maxArea:list\",\"output_value\":224}]"} {"id": "python/single_target_baseline/30/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 30, "target_native_task_name": "maxArea:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [53, 73, -13, 34, 82, -3, 26, -46, -65, 9]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (l, r) = (0, len(list_1) - 1)\n ans = 0\n while l < r:\n t = min(list_1[l], list_1[r]) * (r - l)\n ans = max(ans, t)\n if list_1[l] < list_1[r]:\n l += 1\n else:\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "219", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":30,\"native_task_name\":\"maxArea:list\",\"output_value\":219}]"} {"id": "python/single_target_baseline/30/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 30, "target_native_task_name": "maxArea:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [57, 46, 39, -82, -12, 78, 39, 69, -13, -45]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (l, r) = (0, len(list_1) - 1)\n ans = 0\n while l < r:\n t = min(list_1[l], list_1[r]) * (r - l)\n ans = max(ans, t)\n if list_1[l] < list_1[r]:\n l += 1\n else:\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "399", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":30,\"native_task_name\":\"maxArea:list\",\"output_value\":399}]"} {"id": "python/single_target_baseline/30/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 30, "target_native_task_name": "maxArea:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [81, -54, 3, -1, 67, -100, 52, -51, -35, 67]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (l, r) = (0, len(list_1) - 1)\n ans = 0\n while l < r:\n t = min(list_1[l], list_1[r]) * (r - l)\n ans = max(ans, t)\n if list_1[l] < list_1[r]:\n l += 1\n else:\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "603", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":30,\"native_task_name\":\"maxArea:list\",\"output_value\":603}]"} {"id": "python/single_target_baseline/30/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 30, "target_native_task_name": "maxArea:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [19, -6, -28, 33, 83, -4, 88, -28, -2, -20]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (l, r) = (0, len(list_1) - 1)\n ans = 0\n while l < r:\n t = min(list_1[l], list_1[r]) * (r - l)\n ans = max(ans, t)\n if list_1[l] < list_1[r]:\n l += 1\n else:\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "166", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":30,\"native_task_name\":\"maxArea:list\",\"output_value\":166}]"} {"id": "python/single_target_baseline/30/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 30, "target_native_task_name": "maxArea:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [49, -41, -80, 53, 54, 62, -61, 88, -56, 93]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (l, r) = (0, len(list_1) - 1)\n ans = 0\n while l < r:\n t = min(list_1[l], list_1[r]) * (r - l)\n ans = max(ans, t)\n if list_1[l] < list_1[r]:\n l += 1\n else:\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "441", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":30,\"native_task_name\":\"maxArea:list\",\"output_value\":441}]"} {"id": "python/single_target_baseline/30/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 30, "target_native_task_name": "maxArea:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [63, 13, 64, 21, -88, -27, -98, 0, -31, 91]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (l, r) = (0, len(list_1) - 1)\n ans = 0\n while l < r:\n t = min(list_1[l], list_1[r]) * (r - l)\n ans = max(ans, t)\n if list_1[l] < list_1[r]:\n l += 1\n else:\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "567", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":30,\"native_task_name\":\"maxArea:list\",\"output_value\":567}]"} {"id": "python/single_target_baseline/30/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 30, "target_native_task_name": "maxArea:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-77, 73, -47, -58, -72, 76, 71, 99, -21, -75]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (l, r) = (0, len(list_1) - 1)\n ans = 0\n while l < r:\n t = min(list_1[l], list_1[r]) * (r - l)\n ans = max(ans, t)\n if list_1[l] < list_1[r]:\n l += 1\n else:\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "438", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":30,\"native_task_name\":\"maxArea:list\",\"output_value\":438}]"} {"id": "python/single_target_baseline/30/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 30, "target_native_task_name": "maxArea:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-85, -96, 99, -2, 43, -69, 67, 50, -91, -45]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (l, r) = (0, len(list_1) - 1)\n ans = 0\n while l < r:\n t = min(list_1[l], list_1[r]) * (r - l)\n ans = max(ans, t)\n if list_1[l] < list_1[r]:\n l += 1\n else:\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "268", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":30,\"native_task_name\":\"maxArea:list\",\"output_value\":268}]"} {"id": "python/single_target_baseline/30/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 30, "target_native_task_name": "maxArea:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-39, 5, -7, -38, 59, 26, 5, 4, 41, -19]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (l, r) = (0, len(list_1) - 1)\n ans = 0\n while l < r:\n t = min(list_1[l], list_1[r]) * (r - l)\n ans = max(ans, t)\n if list_1[l] < list_1[r]:\n l += 1\n else:\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "164", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":30,\"native_task_name\":\"maxArea:list\",\"output_value\":164}]"} {"id": "python/single_target_baseline/30/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 30, "target_native_task_name": "maxArea:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [22, 35, 51, 5, -86, -27, 39, -55, -92, 59]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (l, r) = (0, len(list_1) - 1)\n ans = 0\n while l < r:\n t = min(list_1[l], list_1[r]) * (r - l)\n ans = max(ans, t)\n if list_1[l] < list_1[r]:\n l += 1\n else:\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "357", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":30,\"native_task_name\":\"maxArea:list\",\"output_value\":357}]"} {"id": "python/single_target_baseline/30/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 30, "target_native_task_name": "maxArea:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [46, -2, 41, -55, 17, 35, 92, -88, 24, -99]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (l, r) = (0, len(list_1) - 1)\n ans = 0\n while l < r:\n t = min(list_1[l], list_1[r]) * (r - l)\n ans = max(ans, t)\n if list_1[l] < list_1[r]:\n l += 1\n else:\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "276", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":30,\"native_task_name\":\"maxArea:list\",\"output_value\":276}]"} {"id": "python/single_target_baseline/30/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 30, "target_native_task_name": "maxArea:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [71, -19, -94, 96, 51, 92, -26, 57, 16, 83]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (l, r) = (0, len(list_1) - 1)\n ans = 0\n while l < r:\n t = min(list_1[l], list_1[r]) * (r - l)\n ans = max(ans, t)\n if list_1[l] < list_1[r]:\n l += 1\n else:\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "639", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":30,\"native_task_name\":\"maxArea:list\",\"output_value\":639}]"} {"id": "python/single_target_baseline/30/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 30, "target_native_task_name": "maxArea:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-26, 69, 38, 72, 87, 94, 78, -15, -94, 18]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (l, r) = (0, len(list_1) - 1)\n ans = 0\n while l < r:\n t = min(list_1[l], list_1[r]) * (r - l)\n ans = max(ans, t)\n if list_1[l] < list_1[r]:\n l += 1\n else:\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "345", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":30,\"native_task_name\":\"maxArea:list\",\"output_value\":345}]"} {"id": "python/single_target_baseline/31/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 31, "target_native_task_name": "maximumSum:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-32, 47, 10, 35, 86, 85, -56, -28, -95, 53]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * n\n right = [0] * n\n s = 0\n for (i, x) in enumerate(list_1):\n s = max(s, 0) + x\n left[i] = s\n s = 0\n for i in range(n - 1, -1, -1):\n s = max(s, 0) + list_1[i]\n right[i] = s\n ans = max(left)\n for i in range(1, n - 1):\n ans = max(ans, left[i - 1] + right[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "263", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":31,\"native_task_name\":\"maximumSum:list\",\"output_value\":263}]"} {"id": "python/single_target_baseline/31/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 31, "target_native_task_name": "maximumSum:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-93, -74, -97, 82, 92, 49, 32, -32, 23, -16]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * n\n right = [0] * n\n s = 0\n for (i, x) in enumerate(list_1):\n s = max(s, 0) + x\n left[i] = s\n s = 0\n for i in range(n - 1, -1, -1):\n s = max(s, 0) + list_1[i]\n right[i] = s\n ans = max(left)\n for i in range(1, n - 1):\n ans = max(ans, left[i - 1] + right[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "278", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":31,\"native_task_name\":\"maximumSum:list\",\"output_value\":278}]"} {"id": "python/single_target_baseline/31/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 31, "target_native_task_name": "maximumSum:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-3, -59, -6, 67, 38, 60, 84, -67, -64, 11]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * n\n right = [0] * n\n s = 0\n for (i, x) in enumerate(list_1):\n s = max(s, 0) + x\n left[i] = s\n s = 0\n for i in range(n - 1, -1, -1):\n s = max(s, 0) + list_1[i]\n right[i] = s\n ans = max(left)\n for i in range(1, n - 1):\n ans = max(ans, left[i - 1] + right[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "249", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":31,\"native_task_name\":\"maximumSum:list\",\"output_value\":249}]"} {"id": "python/single_target_baseline/31/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 31, "target_native_task_name": "maximumSum:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-59, -36, 56, 95, 89, -20, -22, 45, 29, 47]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * n\n right = [0] * n\n s = 0\n for (i, x) in enumerate(list_1):\n s = max(s, 0) + x\n left[i] = s\n s = 0\n for i in range(n - 1, -1, -1):\n s = max(s, 0) + list_1[i]\n right[i] = s\n ans = max(left)\n for i in range(1, n - 1):\n ans = max(ans, left[i - 1] + right[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "341", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":31,\"native_task_name\":\"maximumSum:list\",\"output_value\":341}]"} {"id": "python/single_target_baseline/31/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 31, "target_native_task_name": "maximumSum:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [1, 79, 94, 48, -71, 84, 27, 17, -56, 71]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * n\n right = [0] * n\n s = 0\n for (i, x) in enumerate(list_1):\n s = max(s, 0) + x\n left[i] = s\n s = 0\n for i in range(n - 1, -1, -1):\n s = max(s, 0) + list_1[i]\n right[i] = s\n ans = max(left)\n for i in range(1, n - 1):\n ans = max(ans, left[i - 1] + right[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "365", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":31,\"native_task_name\":\"maximumSum:list\",\"output_value\":365}]"} {"id": "python/single_target_baseline/31/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 31, "target_native_task_name": "maximumSum:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-28, 74, 32, 75, -69, -19, 23, 89, 3, 96]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * n\n right = [0] * n\n s = 0\n for (i, x) in enumerate(list_1):\n s = max(s, 0) + x\n left[i] = s\n s = 0\n for i in range(n - 1, -1, -1):\n s = max(s, 0) + list_1[i]\n right[i] = s\n ans = max(left)\n for i in range(1, n - 1):\n ans = max(ans, left[i - 1] + right[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "373", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":31,\"native_task_name\":\"maximumSum:list\",\"output_value\":373}]"} {"id": "python/single_target_baseline/31/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 31, "target_native_task_name": "maximumSum:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [80, 37, 100, 58, -86, 5, -12, -45, 65, 89]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * n\n right = [0] * n\n s = 0\n for (i, x) in enumerate(list_1):\n s = max(s, 0) + x\n left[i] = s\n s = 0\n for i in range(n - 1, -1, -1):\n s = max(s, 0) + list_1[i]\n right[i] = s\n ans = max(left)\n for i in range(1, n - 1):\n ans = max(ans, left[i - 1] + right[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "277", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":31,\"native_task_name\":\"maximumSum:list\",\"output_value\":277}]"} {"id": "python/single_target_baseline/31/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 31, "target_native_task_name": "maximumSum:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [96, 41, 24, 59, -53, 18, -72, 59, 59, 17]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * n\n right = [0] * n\n s = 0\n for (i, x) in enumerate(list_1):\n s = max(s, 0) + x\n left[i] = s\n s = 0\n for i in range(n - 1, -1, -1):\n s = max(s, 0) + list_1[i]\n right[i] = s\n ans = max(left)\n for i in range(1, n - 1):\n ans = max(ans, left[i - 1] + right[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "320", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":31,\"native_task_name\":\"maximumSum:list\",\"output_value\":320}]"} {"id": "python/single_target_baseline/31/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 31, "target_native_task_name": "maximumSum:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [33, 9, 71, -35, -46, -62, 63, -17, 76, 1]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * n\n right = [0] * n\n s = 0\n for (i, x) in enumerate(list_1):\n s = max(s, 0) + x\n left[i] = s\n s = 0\n for i in range(n - 1, -1, -1):\n s = max(s, 0) + list_1[i]\n right[i] = s\n ans = max(left)\n for i in range(1, n - 1):\n ans = max(ans, left[i - 1] + right[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "155", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":31,\"native_task_name\":\"maximumSum:list\",\"output_value\":155}]"} {"id": "python/single_target_baseline/31/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 31, "target_native_task_name": "maximumSum:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [92, -45, -20, 60, 9, -32, -79, -5, -91, -10]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * n\n right = [0] * n\n s = 0\n for (i, x) in enumerate(list_1):\n s = max(s, 0) + x\n left[i] = s\n s = 0\n for i in range(n - 1, -1, -1):\n s = max(s, 0) + list_1[i]\n right[i] = s\n ans = max(left)\n for i in range(1, n - 1):\n ans = max(ans, left[i - 1] + right[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "141", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":31,\"native_task_name\":\"maximumSum:list\",\"output_value\":141}]"} {"id": "python/single_target_baseline/31/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 31, "target_native_task_name": "maximumSum:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [1, 49, 48, -36, 65, 100, -35, 78, 99, 16]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * n\n right = [0] * n\n s = 0\n for (i, x) in enumerate(list_1):\n s = max(s, 0) + x\n left[i] = s\n s = 0\n for i in range(n - 1, -1, -1):\n s = max(s, 0) + list_1[i]\n right[i] = s\n ans = max(left)\n for i in range(1, n - 1):\n ans = max(ans, left[i - 1] + right[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "321", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":31,\"native_task_name\":\"maximumSum:list\",\"output_value\":321}]"} {"id": "python/single_target_baseline/31/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 31, "target_native_task_name": "maximumSum:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-9, -59, 65, -35, -33, 55, 26, 29, -15, 56]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * n\n right = [0] * n\n s = 0\n for (i, x) in enumerate(list_1):\n s = max(s, 0) + x\n left[i] = s\n s = 0\n for i in range(n - 1, -1, -1):\n s = max(s, 0) + list_1[i]\n right[i] = s\n ans = max(left)\n for i in range(1, n - 1):\n ans = max(ans, left[i - 1] + right[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "183", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":31,\"native_task_name\":\"maximumSum:list\",\"output_value\":183}]"} {"id": "python/single_target_baseline/31/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 31, "target_native_task_name": "maximumSum:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [91, 97, -42, -54, -10, -43, 19, -21, 41, 34]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * n\n right = [0] * n\n s = 0\n for (i, x) in enumerate(list_1):\n s = max(s, 0) + x\n left[i] = s\n s = 0\n for i in range(n - 1, -1, -1):\n s = max(s, 0) + list_1[i]\n right[i] = s\n ans = max(left)\n for i in range(1, n - 1):\n ans = max(ans, left[i - 1] + right[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "188", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":31,\"native_task_name\":\"maximumSum:list\",\"output_value\":188}]"} {"id": "python/single_target_baseline/31/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 31, "target_native_task_name": "maximumSum:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [49, 11, 83, -98, -99, -87, 15, -37, 88, 2]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * n\n right = [0] * n\n s = 0\n for (i, x) in enumerate(list_1):\n s = max(s, 0) + x\n left[i] = s\n s = 0\n for i in range(n - 1, -1, -1):\n s = max(s, 0) + list_1[i]\n right[i] = s\n ans = max(left)\n for i in range(1, n - 1):\n ans = max(ans, left[i - 1] + right[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "143", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":31,\"native_task_name\":\"maximumSum:list\",\"output_value\":143}]"} {"id": "python/single_target_baseline/31/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 31, "target_native_task_name": "maximumSum:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [83, 100, 91, -31, -94, 41, -10, -17, 58, -60]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * n\n right = [0] * n\n s = 0\n for (i, x) in enumerate(list_1):\n s = max(s, 0) + x\n left[i] = s\n s = 0\n for i in range(n - 1, -1, -1):\n s = max(s, 0) + list_1[i]\n right[i] = s\n ans = max(left)\n for i in range(1, n - 1):\n ans = max(ans, left[i - 1] + right[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "215", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":31,\"native_task_name\":\"maximumSum:list\",\"output_value\":215}]"} {"id": "python/single_target_baseline/31/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 31, "target_native_task_name": "maximumSum:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-41, 0, -16, -59, -72, 7, 79, 24, 43, -4]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [0] * n\n right = [0] * n\n s = 0\n for (i, x) in enumerate(list_1):\n s = max(s, 0) + x\n left[i] = s\n s = 0\n for i in range(n - 1, -1, -1):\n s = max(s, 0) + list_1[i]\n right[i] = s\n ans = max(left)\n for i in range(1, n - 1):\n ans = max(ans, left[i - 1] + right[i + 1])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "153", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":31,\"native_task_name\":\"maximumSum:list\",\"output_value\":153}]"} {"id": "python/single_target_baseline/32/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 32, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [96, 69, -26, -62, -53, -4, 77, 31, 20, 3]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n right[stk[-1]] = i\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "138", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":32,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":138}]"} {"id": "python/single_target_baseline/32/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 32, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-5, 46, -40, 32, -75, 30, 32, 17, -60, -34]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n right[stk[-1]] = i\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "60", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":32,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":60}]"} {"id": "python/single_target_baseline/32/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 32, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [39, -51, 19, 55, 26, -52, -2, -48, -8, 61]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n right[stk[-1]] = i\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "61", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":32,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":61}]"} {"id": "python/single_target_baseline/32/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 32, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-68, 6, 22, -8, 77, -80, -47, 7, 54, 2]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n right[stk[-1]] = i\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "77", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":32,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":77}]"} {"id": "python/single_target_baseline/32/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 32, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-29, -36, 55, -81, 6, -17, 3, 40, -73, -33]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n right[stk[-1]] = i\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "55", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":32,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":55}]"} {"id": "python/single_target_baseline/32/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 32, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [45, -2, -41, 78, -28, 8, -48, 60, -47, 50]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n right[stk[-1]] = i\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "78", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":32,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":78}]"} {"id": "python/single_target_baseline/32/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 32, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-99, -55, 52, 36, 21, 38, -4, 51, 9, 12]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n right[stk[-1]] = i\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "84", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":32,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":84}]"} {"id": "python/single_target_baseline/32/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 32, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [62, 75, 82, 62, 19, -62, -45, -51, 34, 72]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n right[stk[-1]] = i\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "248", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":32,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":248}]"} {"id": "python/single_target_baseline/32/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 32, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [81, 71, 62, -84, -79, -99, 99, -85, -88, 53]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n right[stk[-1]] = i\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "186", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":32,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":186}]"} {"id": "python/single_target_baseline/32/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 32, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-80, -84, -73, 17, 46, -1, -30, -42, -65, -61]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n right[stk[-1]] = i\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "46", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":32,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":46}]"} {"id": "python/single_target_baseline/32/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 32, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-53, 70, -94, 40, -69, 20, 18, 79, -57, -6]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n right[stk[-1]] = i\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "79", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":32,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":79}]"} {"id": "python/single_target_baseline/32/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 32, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [37, -84, -74, -12, 33, 94, 71, 1, -40, 52]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n right[stk[-1]] = i\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "142", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":32,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":142}]"} {"id": "python/single_target_baseline/32/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 32, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [34, 65, -69, -85, -91, -80, -56, -20, 32, -15]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n right[stk[-1]] = i\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "68", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":32,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":68}]"} {"id": "python/single_target_baseline/32/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 32, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [8, -63, 24, -60, 13, -87, 78, 74, 34, 68]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n right[stk[-1]] = i\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "148", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":32,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":148}]"} {"id": "python/single_target_baseline/32/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 32, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [86, 59, 11, 0, -3, 58, 24, 33, -41, 81]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n right[stk[-1]] = i\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "118", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":32,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":118}]"} {"id": "python/single_target_baseline/32/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 32, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-22, 0, -50, 74, -64, 77, 37, 39, -27, 36]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n right[stk[-1]] = i\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "111", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":32,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":111}]"} {"id": "python/single_target_baseline/33/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 33, "target_native_task_name": "findWinningPlayer:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [33, -43, -94, 61, -61, -39, 35, -30, 27, 8]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 44.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n n = len(list_1)\n k = min(k, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if list_1[i] < list_1[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":33,\"native_task_name\":\"findWinningPlayer:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/33/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 33, "target_native_task_name": "findWinningPlayer:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-45, 40, -83, 56, -16, 50, 21, 86, 80, -83]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 34.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n n = len(list_1)\n k = min(k, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if list_1[i] < list_1[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":33,\"native_task_name\":\"findWinningPlayer:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/33/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 33, "target_native_task_name": "findWinningPlayer:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-59, 83, 97, -90, -42, -41, -33, -76, 28, 29]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -89.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n n = len(list_1)\n k = min(k, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if list_1[i] < list_1[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":33,\"native_task_name\":\"findWinningPlayer:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/33/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 33, "target_native_task_name": "findWinningPlayer:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [40, 87, 46, -66, 81, -70, -30, -18, 96, -66]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 12.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n n = len(list_1)\n k = min(k, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if list_1[i] < list_1[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":33,\"native_task_name\":\"findWinningPlayer:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/33/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 33, "target_native_task_name": "findWinningPlayer:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [10, 60, -52, -34, -60, 36, 4, 16, 84, -45]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -6.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n n = len(list_1)\n k = min(k, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if list_1[i] < list_1[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":33,\"native_task_name\":\"findWinningPlayer:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/33/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 33, "target_native_task_name": "findWinningPlayer:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-57, 16, -30, -84, 48, -29, -91, 19, -20, 56]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 89.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n n = len(list_1)\n k = min(k, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if list_1[i] < list_1[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":33,\"native_task_name\":\"findWinningPlayer:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/33/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 33, "target_native_task_name": "findWinningPlayer:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-59, -45, 50, -84, -67, 79, -88, 40, 0, -47]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -44.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n n = len(list_1)\n k = min(k, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if list_1[i] < list_1[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":33,\"native_task_name\":\"findWinningPlayer:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/33/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 33, "target_native_task_name": "findWinningPlayer:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-60, -99, 59, -57, -36, 63, -68, 64, -71, -41]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -67.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n n = len(list_1)\n k = min(k, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if list_1[i] < list_1[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":33,\"native_task_name\":\"findWinningPlayer:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/33/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 33, "target_native_task_name": "findWinningPlayer:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-3, -26, -83, 67, -68, 2, 78, -51, -90, -98]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 25.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n n = len(list_1)\n k = min(k, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if list_1[i] < list_1[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":33,\"native_task_name\":\"findWinningPlayer:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/33/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 33, "target_native_task_name": "findWinningPlayer:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-67, -47, -44, -19, -41, 33, 14, 100, 29, -60]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -65.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n n = len(list_1)\n k = min(k, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if list_1[i] < list_1[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":33,\"native_task_name\":\"findWinningPlayer:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/33/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 33, "target_native_task_name": "findWinningPlayer:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [62, 40, -56, 94, 63, 41, -34, -95, 81, -4]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 31.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n n = len(list_1)\n k = min(k, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if list_1[i] < list_1[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":33,\"native_task_name\":\"findWinningPlayer:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/33/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 33, "target_native_task_name": "findWinningPlayer:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [5, -86, 90, -62, 69, -24, -17, 100, -37, -69]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -10.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n n = len(list_1)\n k = min(k, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if list_1[i] < list_1[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":33,\"native_task_name\":\"findWinningPlayer:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/33/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 33, "target_native_task_name": "findWinningPlayer:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [31, -49, -61, 28, 46, -78, 94, 33, 39, -99]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 73.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n n = len(list_1)\n k = min(k, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if list_1[i] < list_1[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":33,\"native_task_name\":\"findWinningPlayer:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/33/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 33, "target_native_task_name": "findWinningPlayer:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-23, -58, 16, 36, -17, 76, -1, -26, 13, -89]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -99.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n n = len(list_1)\n k = min(k, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if list_1[i] < list_1[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":33,\"native_task_name\":\"findWinningPlayer:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/33/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 33, "target_native_task_name": "findWinningPlayer:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-9, -84, -83, -82, 96, -98, 64, -70, -25, 34]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -58.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n n = len(list_1)\n k = min(k, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if list_1[i] < list_1[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":33,\"native_task_name\":\"findWinningPlayer:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/33/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 33, "target_native_task_name": "findWinningPlayer:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-73, -18, 24, -82, 3, -20, 13, -64, 94, -28]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 94.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n n = len(list_1)\n k = min(k, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if list_1[i] < list_1[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":33,\"native_task_name\":\"findWinningPlayer:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/34/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 34, "target_native_task_name": "findWinningPlayer:scalar", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -92}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_skills_static = [1, -90, -33, 57, 11, 31, 69, -88, -23, -67].\nTrace the execution of task_1 with inputs skills = task_1_skills_static.\n```python\nfrom typing import List\ndef task_1(skills: List[int], val_1: int) -> int:\n n = len(skills)\n val_1 = min(val_1, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if skills[i] < skills[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":34,\"native_task_name\":\"findWinningPlayer:scalar\",\"output_value\":6}]"} {"id": "python/single_target_baseline/34/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 34, "target_native_task_name": "findWinningPlayer:scalar", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 15}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_skills_static = [-58, -7, -20, -64, 2, -41, -83, -13, 43, 96].\nTrace the execution of task_1 with inputs skills = task_1_skills_static.\n```python\nfrom typing import List\ndef task_1(skills: List[int], val_1: int) -> int:\n n = len(skills)\n val_1 = min(val_1, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if skills[i] < skills[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":34,\"native_task_name\":\"findWinningPlayer:scalar\",\"output_value\":9}]"} {"id": "python/single_target_baseline/34/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 34, "target_native_task_name": "findWinningPlayer:scalar", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 64}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_skills_static = [17, 48, 42, -64, -92, 55, 45, -30, -95, -62].\nTrace the execution of task_1 with inputs skills = task_1_skills_static.\n```python\nfrom typing import List\ndef task_1(skills: List[int], val_1: int) -> int:\n n = len(skills)\n val_1 = min(val_1, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if skills[i] < skills[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":34,\"native_task_name\":\"findWinningPlayer:scalar\",\"output_value\":5}]"} {"id": "python/single_target_baseline/34/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 34, "target_native_task_name": "findWinningPlayer:scalar", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 27}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_skills_static = [-3, -62, -23, -78, 32, 1, -40, 49, 17, 23].\nTrace the execution of task_1 with inputs skills = task_1_skills_static.\n```python\nfrom typing import List\ndef task_1(skills: List[int], val_1: int) -> int:\n n = len(skills)\n val_1 = min(val_1, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if skills[i] < skills[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":34,\"native_task_name\":\"findWinningPlayer:scalar\",\"output_value\":7}]"} {"id": "python/single_target_baseline/34/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 34, "target_native_task_name": "findWinningPlayer:scalar", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 54}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_skills_static = [90, 62, 82, -57, -42, 100, 93, -85, -66, 97].\nTrace the execution of task_1 with inputs skills = task_1_skills_static.\n```python\nfrom typing import List\ndef task_1(skills: List[int], val_1: int) -> int:\n n = len(skills)\n val_1 = min(val_1, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if skills[i] < skills[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":34,\"native_task_name\":\"findWinningPlayer:scalar\",\"output_value\":5}]"} {"id": "python/single_target_baseline/34/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 34, "target_native_task_name": "findWinningPlayer:scalar", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -41}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_skills_static = [43, -11, -88, -6, 29, -31, -70, -38, 23, 92].\nTrace the execution of task_1 with inputs skills = task_1_skills_static.\n```python\nfrom typing import List\ndef task_1(skills: List[int], val_1: int) -> int:\n n = len(skills)\n val_1 = min(val_1, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if skills[i] < skills[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":34,\"native_task_name\":\"findWinningPlayer:scalar\",\"output_value\":9}]"} {"id": "python/single_target_baseline/34/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 34, "target_native_task_name": "findWinningPlayer:scalar", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 38}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_skills_static = [-90, -66, 38, -48, -47, 62, -95, 55, -39, 14].\nTrace the execution of task_1 with inputs skills = task_1_skills_static.\n```python\nfrom typing import List\ndef task_1(skills: List[int], val_1: int) -> int:\n n = len(skills)\n val_1 = min(val_1, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if skills[i] < skills[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":34,\"native_task_name\":\"findWinningPlayer:scalar\",\"output_value\":5}]"} {"id": "python/single_target_baseline/34/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 34, "target_native_task_name": "findWinningPlayer:scalar", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 67}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_skills_static = [-75, -16, 53, 10, 18, -26, 22, 43, -8, -44].\nTrace the execution of task_1 with inputs skills = task_1_skills_static.\n```python\nfrom typing import List\ndef task_1(skills: List[int], val_1: int) -> int:\n n = len(skills)\n val_1 = min(val_1, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if skills[i] < skills[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":34,\"native_task_name\":\"findWinningPlayer:scalar\",\"output_value\":2}]"} {"id": "python/single_target_baseline/34/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 34, "target_native_task_name": "findWinningPlayer:scalar", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 29}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_skills_static = [28, -73, 90, 75, 23, -7, 77, 86, -26, 18].\nTrace the execution of task_1 with inputs skills = task_1_skills_static.\n```python\nfrom typing import List\ndef task_1(skills: List[int], val_1: int) -> int:\n n = len(skills)\n val_1 = min(val_1, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if skills[i] < skills[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":34,\"native_task_name\":\"findWinningPlayer:scalar\",\"output_value\":2}]"} {"id": "python/single_target_baseline/34/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 34, "target_native_task_name": "findWinningPlayer:scalar", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 11}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_skills_static = [59, -17, -53, 66, -29, -78, 84, -78, 58, 37].\nTrace the execution of task_1 with inputs skills = task_1_skills_static.\n```python\nfrom typing import List\ndef task_1(skills: List[int], val_1: int) -> int:\n n = len(skills)\n val_1 = min(val_1, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if skills[i] < skills[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":34,\"native_task_name\":\"findWinningPlayer:scalar\",\"output_value\":6}]"} {"id": "python/single_target_baseline/34/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 34, "target_native_task_name": "findWinningPlayer:scalar", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 8}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_skills_static = [28, -77, 25, 69, -92, -56, 91, 99, 2, 21].\nTrace the execution of task_1 with inputs skills = task_1_skills_static.\n```python\nfrom typing import List\ndef task_1(skills: List[int], val_1: int) -> int:\n n = len(skills)\n val_1 = min(val_1, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if skills[i] < skills[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":34,\"native_task_name\":\"findWinningPlayer:scalar\",\"output_value\":7}]"} {"id": "python/single_target_baseline/34/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 34, "target_native_task_name": "findWinningPlayer:scalar", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -71}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_skills_static = [20, -2, 96, 33, -16, 66, -61, -62, 45, -45].\nTrace the execution of task_1 with inputs skills = task_1_skills_static.\n```python\nfrom typing import List\ndef task_1(skills: List[int], val_1: int) -> int:\n n = len(skills)\n val_1 = min(val_1, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if skills[i] < skills[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":34,\"native_task_name\":\"findWinningPlayer:scalar\",\"output_value\":2}]"} {"id": "python/single_target_baseline/34/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 34, "target_native_task_name": "findWinningPlayer:scalar", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -36}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_skills_static = [-64, -96, 99, 47, 69, 9, -42, 81, -15, -96].\nTrace the execution of task_1 with inputs skills = task_1_skills_static.\n```python\nfrom typing import List\ndef task_1(skills: List[int], val_1: int) -> int:\n n = len(skills)\n val_1 = min(val_1, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if skills[i] < skills[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":34,\"native_task_name\":\"findWinningPlayer:scalar\",\"output_value\":2}]"} {"id": "python/single_target_baseline/34/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 34, "target_native_task_name": "findWinningPlayer:scalar", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 13}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_skills_static = [-82, 71, -45, 72, -48, -15, -88, -29, 17, 52].\nTrace the execution of task_1 with inputs skills = task_1_skills_static.\n```python\nfrom typing import List\ndef task_1(skills: List[int], val_1: int) -> int:\n n = len(skills)\n val_1 = min(val_1, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if skills[i] < skills[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":34,\"native_task_name\":\"findWinningPlayer:scalar\",\"output_value\":3}]"} {"id": "python/single_target_baseline/34/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 34, "target_native_task_name": "findWinningPlayer:scalar", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 2}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_skills_static = [-52, -44, 93, -26, 65, -26, 92, -28, 43, 16].\nTrace the execution of task_1 with inputs skills = task_1_skills_static.\n```python\nfrom typing import List\ndef task_1(skills: List[int], val_1: int) -> int:\n n = len(skills)\n val_1 = min(val_1, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if skills[i] < skills[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":34,\"native_task_name\":\"findWinningPlayer:scalar\",\"output_value\":2}]"} {"id": "python/single_target_baseline/34/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 34, "target_native_task_name": "findWinningPlayer:scalar", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -48}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_skills_static = [-33, -88, -11, -81, -1, 24, 67, -86, 63, 7].\nTrace the execution of task_1 with inputs skills = task_1_skills_static.\n```python\nfrom typing import List\ndef task_1(skills: List[int], val_1: int) -> int:\n n = len(skills)\n val_1 = min(val_1, n - 1)\n i = cnt = 0\n for j in range(1, n):\n if skills[i] < skills[j]:\n i = j\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":34,\"native_task_name\":\"findWinningPlayer:scalar\",\"output_value\":6}]"} {"id": "python/single_target_baseline/35/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 35, "target_native_task_name": "kConcatenationMaxSum:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [91, -93, -30, -6, 66, 34, 73, -90, 25, 10]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -75.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in list_1:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if k == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (k - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "253", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":35,\"native_task_name\":\"kConcatenationMaxSum:list\",\"output_value\":253}]"} {"id": "python/single_target_baseline/35/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 35, "target_native_task_name": "kConcatenationMaxSum:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-45, 53, 48, -4, 100, -50, -78, 95, 50, 67]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 11.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in list_1:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if k == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (k - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "1572", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":35,\"native_task_name\":\"kConcatenationMaxSum:list\",\"output_value\":1572}]"} {"id": "python/single_target_baseline/35/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 35, "target_native_task_name": "kConcatenationMaxSum:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [10, -70, 51, 56, 7, 38, 40, -30, 76, -54]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 94.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in list_1:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if k == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (k - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "11770", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":35,\"native_task_name\":\"kConcatenationMaxSum:list\",\"output_value\":11770}]"} {"id": "python/single_target_baseline/35/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 35, "target_native_task_name": "kConcatenationMaxSum:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [75, -90, 56, -71, 24, 14, -87, 90, 88, 29]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 88.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in list_1:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if k == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (k - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "11343", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":35,\"native_task_name\":\"kConcatenationMaxSum:list\",\"output_value\":11343}]"} {"id": "python/single_target_baseline/35/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 35, "target_native_task_name": "kConcatenationMaxSum:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [20, -62, 73, 78, 37, -83, 82, 3, 40, -45]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 20.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in list_1:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if k == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (k - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2947", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":35,\"native_task_name\":\"kConcatenationMaxSum:list\",\"output_value\":2947}]"} {"id": "python/single_target_baseline/35/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 35, "target_native_task_name": "kConcatenationMaxSum:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [24, 50, -59, -72, -49, 95, 48, 67, 51, -95]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -98.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in list_1:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if k == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (k - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "321", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":35,\"native_task_name\":\"kConcatenationMaxSum:list\",\"output_value\":321}]"} {"id": "python/single_target_baseline/35/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 35, "target_native_task_name": "kConcatenationMaxSum:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [14, 53, -33, 23, 29, 80, -71, 30, -67, 0]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 12.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in list_1:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if k == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (k - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "804", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":35,\"native_task_name\":\"kConcatenationMaxSum:list\",\"output_value\":804}]"} {"id": "python/single_target_baseline/35/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 35, "target_native_task_name": "kConcatenationMaxSum:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [68, 40, -45, 88, -89, 72, 80, 4, -34, -20]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -98.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in list_1:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if k == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (k - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "382", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":35,\"native_task_name\":\"kConcatenationMaxSum:list\",\"output_value\":382}]"} {"id": "python/single_target_baseline/35/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 35, "target_native_task_name": "kConcatenationMaxSum:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-7, 76, -10, -80, 57, -47, 90, 80, -62, 18]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -5.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in list_1:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if k == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (k - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "295", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":35,\"native_task_name\":\"kConcatenationMaxSum:list\",\"output_value\":295}]"} {"id": "python/single_target_baseline/35/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 35, "target_native_task_name": "kConcatenationMaxSum:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [73, 38, -10, 4, -93, 66, -21, 98, -42, -34]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -47.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in list_1:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if k == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (k - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "234", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":35,\"native_task_name\":\"kConcatenationMaxSum:list\",\"output_value\":234}]"} {"id": "python/single_target_baseline/35/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 35, "target_native_task_name": "kConcatenationMaxSum:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-55, -87, -52, 14, 55, -70, 53, 61, -95, -49]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -6.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in list_1:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if k == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (k - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "114", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":35,\"native_task_name\":\"kConcatenationMaxSum:list\",\"output_value\":114}]"} {"id": "python/single_target_baseline/35/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 35, "target_native_task_name": "kConcatenationMaxSum:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [81, 64, -87, -63, 7, 2, -12, 3, 95, 56]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -54.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in list_1:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if k == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (k - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "300", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":35,\"native_task_name\":\"kConcatenationMaxSum:list\",\"output_value\":300}]"} {"id": "python/single_target_baseline/35/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 35, "target_native_task_name": "kConcatenationMaxSum:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-78, 90, -28, 81, -86, 48, 12, 98, -95, -46]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -74.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in list_1:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if k == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (k - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "215", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":35,\"native_task_name\":\"kConcatenationMaxSum:list\",\"output_value\":215}]"} {"id": "python/single_target_baseline/35/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 35, "target_native_task_name": "kConcatenationMaxSum:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-5, -18, 25, 19, 56, 75, 100, 22, -31, -13]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -58.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in list_1:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if k == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (k - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "327", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":35,\"native_task_name\":\"kConcatenationMaxSum:list\",\"output_value\":327}]"} {"id": "python/single_target_baseline/35/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 35, "target_native_task_name": "kConcatenationMaxSum:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-21, -73, -9, 54, -5, -85, -63, 62, -92, 51]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -28.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in list_1:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if k == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (k - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "62", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":35,\"native_task_name\":\"kConcatenationMaxSum:list\",\"output_value\":62}]"} {"id": "python/single_target_baseline/35/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 35, "target_native_task_name": "kConcatenationMaxSum:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [93, 79, 75, -24, 89, -72, -76, -27, -48, 81]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 54.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in list_1:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if k == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (k - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9322", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":35,\"native_task_name\":\"kConcatenationMaxSum:list\",\"output_value\":9322}]"} {"id": "python/single_target_baseline/36/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 36, "target_native_task_name": "kConcatenationMaxSum:scalar", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -5}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [4, -47, 30, 88, -64, 31, -20, -2, -60, 5].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in arr:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if val_1 == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (val_1 - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "118", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":36,\"native_task_name\":\"kConcatenationMaxSum:scalar\",\"output_value\":118}]"} {"id": "python/single_target_baseline/36/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 36, "target_native_task_name": "kConcatenationMaxSum:scalar", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -88}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-75, -50, -17, 58, 38, 56, -15, 13, -61, -28].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in arr:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if val_1 == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (val_1 - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "152", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":36,\"native_task_name\":\"kConcatenationMaxSum:scalar\",\"output_value\":152}]"} {"id": "python/single_target_baseline/36/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 36, "target_native_task_name": "kConcatenationMaxSum:scalar", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 41}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-92, -33, 16, 81, -24, 53, 11, 88, -40, -72].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in arr:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if val_1 == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (val_1 - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "225", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":36,\"native_task_name\":\"kConcatenationMaxSum:scalar\",\"output_value\":225}]"} {"id": "python/single_target_baseline/36/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 36, "target_native_task_name": "kConcatenationMaxSum:scalar", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -52}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [78, 18, -35, 4, -1, -67, -84, 87, -21, -51].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in arr:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if val_1 == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (val_1 - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "111", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":36,\"native_task_name\":\"kConcatenationMaxSum:scalar\",\"output_value\":111}]"} {"id": "python/single_target_baseline/36/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 36, "target_native_task_name": "kConcatenationMaxSum:scalar", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 94}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-69, -36, -67, -100, -31, 33, 86, -5, 98, -50].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in arr:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if val_1 == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (val_1 - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "212", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":36,\"native_task_name\":\"kConcatenationMaxSum:scalar\",\"output_value\":212}]"} {"id": "python/single_target_baseline/36/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 36, "target_native_task_name": "kConcatenationMaxSum:scalar", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -98}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-48, -84, -73, -10, -23, 70, 36, -25, -66, -29].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in arr:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if val_1 == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (val_1 - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "106", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":36,\"native_task_name\":\"kConcatenationMaxSum:scalar\",\"output_value\":106}]"} {"id": "python/single_target_baseline/36/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 36, "target_native_task_name": "kConcatenationMaxSum:scalar", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 33}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-86, -16, 30, -32, 14, -85, -13, 27, -36, -29].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in arr:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if val_1 == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (val_1 - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "30", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":36,\"native_task_name\":\"kConcatenationMaxSum:scalar\",\"output_value\":30}]"} {"id": "python/single_target_baseline/36/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 36, "target_native_task_name": "kConcatenationMaxSum:scalar", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -1}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-43, 29, -80, -32, 26, 83, 62, 51, -39, -10].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in arr:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if val_1 == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (val_1 - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "269", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":36,\"native_task_name\":\"kConcatenationMaxSum:scalar\",\"output_value\":269}]"} {"id": "python/single_target_baseline/36/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 36, "target_native_task_name": "kConcatenationMaxSum:scalar", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -9}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [54, -52, 4, -95, -72, 7, 59, 22, -76, -71].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in arr:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if val_1 == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (val_1 - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "88", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":36,\"native_task_name\":\"kConcatenationMaxSum:scalar\",\"output_value\":88}]"} {"id": "python/single_target_baseline/36/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 36, "target_native_task_name": "kConcatenationMaxSum:scalar", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -90}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-78, -10, -89, 45, 89, 67, 68, -71, -60, -24].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in arr:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if val_1 == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (val_1 - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "269", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":36,\"native_task_name\":\"kConcatenationMaxSum:scalar\",\"output_value\":269}]"} {"id": "python/single_target_baseline/36/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 36, "target_native_task_name": "kConcatenationMaxSum:scalar", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -74}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-64, -17, -71, -7, -17, -66, -51, 31, -30, -31].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in arr:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if val_1 == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (val_1 - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "31", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":36,\"native_task_name\":\"kConcatenationMaxSum:scalar\",\"output_value\":31}]"} {"id": "python/single_target_baseline/36/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 36, "target_native_task_name": "kConcatenationMaxSum:scalar", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -45}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [19, -23, 53, -66, -30, -80, -49, 98, 28, -4].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in arr:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if val_1 == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (val_1 - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "171", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":36,\"native_task_name\":\"kConcatenationMaxSum:scalar\",\"output_value\":171}]"} {"id": "python/single_target_baseline/36/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 36, "target_native_task_name": "kConcatenationMaxSum:scalar", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -73}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [35, 25, 37, -4, 12, -77, 42, 87, -9, -73].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in arr:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if val_1 == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (val_1 - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "232", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":36,\"native_task_name\":\"kConcatenationMaxSum:scalar\",\"output_value\":232}]"} {"id": "python/single_target_baseline/36/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 36, "target_native_task_name": "kConcatenationMaxSum:scalar", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -18}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [47, 1, 23, -7, -56, -45, -89, -24, -75, -96].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in arr:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if val_1 == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (val_1 - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "71", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":36,\"native_task_name\":\"kConcatenationMaxSum:scalar\",\"output_value\":71}]"} {"id": "python/single_target_baseline/36/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 36, "target_native_task_name": "kConcatenationMaxSum:scalar", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 98}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [76, 9, -84, 78, -54, -49, -80, 13, -75, 24].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in arr:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if val_1 == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (val_1 - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "109", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":36,\"native_task_name\":\"kConcatenationMaxSum:scalar\",\"output_value\":109}]"} {"id": "python/single_target_baseline/36/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 36, "target_native_task_name": "kConcatenationMaxSum:scalar", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -74}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [99, 56, 19, -70, 36, 45, -89, -69, 100, 80].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n s = mx_pre = mi_pre = mx_sub = 0\n for x in arr:\n s += x\n mx_pre = max(mx_pre, s)\n mi_pre = min(mi_pre, s)\n mx_sub = max(mx_sub, s - mi_pre)\n ans = mx_sub\n mod = 10 ** 9 + 7\n if val_1 == 1:\n python_result_1 = ans % mod\n return python_result_1\n mx_suf = s - mi_pre\n ans = max(ans, mx_pre + mx_suf)\n if s > 0:\n ans = max(ans, (val_1 - 2) * s + mx_pre + mx_suf)\n python_result_1 = ans % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "414", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":36,\"native_task_name\":\"kConcatenationMaxSum:scalar\",\"output_value\":414}]"} {"id": "python/single_target_baseline/37/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 37, "target_native_task_name": "minimumRefill:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [74, -47, 59, 69, 50, 45, -83, 0, -34, 56]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_capacityA_static = 88.\nDefine task_1_capacityB_static = -46.\nTrace the execution of task_1 with inputs capacityA = task_1_capacityA_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], capacityA: int, capacityB: int) -> int:\n (a, b) = (capacityA, capacityB)\n ans = 0\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if a < list_1[i]:\n ans += 1\n a = capacityA\n a -= list_1[i]\n if b < list_1[j]:\n ans += 1\n b = capacityB\n b -= list_1[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":37,\"native_task_name\":\"minimumRefill:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/37/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 37, "target_native_task_name": "minimumRefill:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [53, 32, 36, 94, -3, 59, 87, -52, 30, -39]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_capacityA_static = 62.\nDefine task_1_capacityB_static = -46.\nTrace the execution of task_1 with inputs capacityA = task_1_capacityA_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], capacityA: int, capacityB: int) -> int:\n (a, b) = (capacityA, capacityB)\n ans = 0\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if a < list_1[i]:\n ans += 1\n a = capacityA\n a -= list_1[i]\n if b < list_1[j]:\n ans += 1\n b = capacityB\n b -= list_1[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":37,\"native_task_name\":\"minimumRefill:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/37/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 37, "target_native_task_name": "minimumRefill:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-98, 87, -57, -28, 4, 29, 85, -18, -28, -77]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_capacityA_static = -22.\nDefine task_1_capacityB_static = -40.\nTrace the execution of task_1 with inputs capacityA = task_1_capacityA_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], capacityA: int, capacityB: int) -> int:\n (a, b) = (capacityA, capacityB)\n ans = 0\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if a < list_1[i]:\n ans += 1\n a = capacityA\n a -= list_1[i]\n if b < list_1[j]:\n ans += 1\n b = capacityB\n b -= list_1[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":37,\"native_task_name\":\"minimumRefill:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/37/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 37, "target_native_task_name": "minimumRefill:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [64, 77, 92, -52, -73, -37, 91, 62, -84, 27]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_capacityA_static = -34.\nDefine task_1_capacityB_static = -28.\nTrace the execution of task_1 with inputs capacityA = task_1_capacityA_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], capacityA: int, capacityB: int) -> int:\n (a, b) = (capacityA, capacityB)\n ans = 0\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if a < list_1[i]:\n ans += 1\n a = capacityA\n a -= list_1[i]\n if b < list_1[j]:\n ans += 1\n b = capacityB\n b -= list_1[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":37,\"native_task_name\":\"minimumRefill:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/37/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 37, "target_native_task_name": "minimumRefill:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [76, -19, -74, -62, 37, 11, 9, 39, 72, 69]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_capacityA_static = -17.\nDefine task_1_capacityB_static = 73.\nTrace the execution of task_1 with inputs capacityA = task_1_capacityA_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], capacityA: int, capacityB: int) -> int:\n (a, b) = (capacityA, capacityB)\n ans = 0\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if a < list_1[i]:\n ans += 1\n a = capacityA\n a -= list_1[i]\n if b < list_1[j]:\n ans += 1\n b = capacityB\n b -= list_1[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":37,\"native_task_name\":\"minimumRefill:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/37/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 37, "target_native_task_name": "minimumRefill:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-61, -35, -49, 26, -92, 61, 69, -31, 42, -15]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_capacityA_static = 10.\nDefine task_1_capacityB_static = -58.\nTrace the execution of task_1 with inputs capacityA = task_1_capacityA_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], capacityA: int, capacityB: int) -> int:\n (a, b) = (capacityA, capacityB)\n ans = 0\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if a < list_1[i]:\n ans += 1\n a = capacityA\n a -= list_1[i]\n if b < list_1[j]:\n ans += 1\n b = capacityB\n b -= list_1[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":37,\"native_task_name\":\"minimumRefill:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/37/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 37, "target_native_task_name": "minimumRefill:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-5, 40, 86, 59, 95, -50, 34, 15, 63, 57]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_capacityA_static = 89.\nDefine task_1_capacityB_static = -39.\nTrace the execution of task_1 with inputs capacityA = task_1_capacityA_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], capacityA: int, capacityB: int) -> int:\n (a, b) = (capacityA, capacityB)\n ans = 0\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if a < list_1[i]:\n ans += 1\n a = capacityA\n a -= list_1[i]\n if b < list_1[j]:\n ans += 1\n b = capacityB\n b -= list_1[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":37,\"native_task_name\":\"minimumRefill:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/37/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 37, "target_native_task_name": "minimumRefill:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [21, 39, 96, -28, 41, -24, 71, 43, 55, -35]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_capacityA_static = 0.\nDefine task_1_capacityB_static = -66.\nTrace the execution of task_1 with inputs capacityA = task_1_capacityA_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], capacityA: int, capacityB: int) -> int:\n (a, b) = (capacityA, capacityB)\n ans = 0\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if a < list_1[i]:\n ans += 1\n a = capacityA\n a -= list_1[i]\n if b < list_1[j]:\n ans += 1\n b = capacityB\n b -= list_1[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":37,\"native_task_name\":\"minimumRefill:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/37/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 37, "target_native_task_name": "minimumRefill:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-12, 32, -19, -94, 8, 74, 51, -5, 62, 33]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_capacityA_static = 65.\nDefine task_1_capacityB_static = -84.\nTrace the execution of task_1 with inputs capacityA = task_1_capacityA_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], capacityA: int, capacityB: int) -> int:\n (a, b) = (capacityA, capacityB)\n ans = 0\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if a < list_1[i]:\n ans += 1\n a = capacityA\n a -= list_1[i]\n if b < list_1[j]:\n ans += 1\n b = capacityB\n b -= list_1[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":37,\"native_task_name\":\"minimumRefill:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/37/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 37, "target_native_task_name": "minimumRefill:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-8, -47, 98, 47, -65, 87, -62, 34, 23, 1]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_capacityA_static = -19.\nDefine task_1_capacityB_static = -5.\nTrace the execution of task_1 with inputs capacityA = task_1_capacityA_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], capacityA: int, capacityB: int) -> int:\n (a, b) = (capacityA, capacityB)\n ans = 0\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if a < list_1[i]:\n ans += 1\n a = capacityA\n a -= list_1[i]\n if b < list_1[j]:\n ans += 1\n b = capacityB\n b -= list_1[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":37,\"native_task_name\":\"minimumRefill:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/37/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 37, "target_native_task_name": "minimumRefill:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [85, -69, -97, 95, 12, -36, 30, 92, 89, -77]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_capacityA_static = 1.\nDefine task_1_capacityB_static = -99.\nTrace the execution of task_1 with inputs capacityA = task_1_capacityA_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], capacityA: int, capacityB: int) -> int:\n (a, b) = (capacityA, capacityB)\n ans = 0\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if a < list_1[i]:\n ans += 1\n a = capacityA\n a -= list_1[i]\n if b < list_1[j]:\n ans += 1\n b = capacityB\n b -= list_1[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":37,\"native_task_name\":\"minimumRefill:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/37/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 37, "target_native_task_name": "minimumRefill:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [95, 94, 48, 81, -8, 66, -45, 95, 3, 29]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_capacityA_static = 55.\nDefine task_1_capacityB_static = -63.\nTrace the execution of task_1 with inputs capacityA = task_1_capacityA_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], capacityA: int, capacityB: int) -> int:\n (a, b) = (capacityA, capacityB)\n ans = 0\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if a < list_1[i]:\n ans += 1\n a = capacityA\n a -= list_1[i]\n if b < list_1[j]:\n ans += 1\n b = capacityB\n b -= list_1[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":37,\"native_task_name\":\"minimumRefill:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/37/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 37, "target_native_task_name": "minimumRefill:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-54, -69, 16, 30, -21, 65, -4, -70, -55, -5]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_capacityA_static = -57.\nDefine task_1_capacityB_static = -27.\nTrace the execution of task_1 with inputs capacityA = task_1_capacityA_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], capacityA: int, capacityB: int) -> int:\n (a, b) = (capacityA, capacityB)\n ans = 0\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if a < list_1[i]:\n ans += 1\n a = capacityA\n a -= list_1[i]\n if b < list_1[j]:\n ans += 1\n b = capacityB\n b -= list_1[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":37,\"native_task_name\":\"minimumRefill:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/37/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 37, "target_native_task_name": "minimumRefill:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [81, -47, -20, 82, 31, 45, -53, -8, 85, 57]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_capacityA_static = 15.\nDefine task_1_capacityB_static = -17.\nTrace the execution of task_1 with inputs capacityA = task_1_capacityA_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], capacityA: int, capacityB: int) -> int:\n (a, b) = (capacityA, capacityB)\n ans = 0\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if a < list_1[i]:\n ans += 1\n a = capacityA\n a -= list_1[i]\n if b < list_1[j]:\n ans += 1\n b = capacityB\n b -= list_1[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":37,\"native_task_name\":\"minimumRefill:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/37/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 37, "target_native_task_name": "minimumRefill:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [19, -3, -38, -87, 49, -33, 100, -33, 97, 72]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_capacityA_static = -52.\nDefine task_1_capacityB_static = -62.\nTrace the execution of task_1 with inputs capacityA = task_1_capacityA_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], capacityA: int, capacityB: int) -> int:\n (a, b) = (capacityA, capacityB)\n ans = 0\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if a < list_1[i]:\n ans += 1\n a = capacityA\n a -= list_1[i]\n if b < list_1[j]:\n ans += 1\n b = capacityB\n b -= list_1[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":37,\"native_task_name\":\"minimumRefill:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/37/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 37, "target_native_task_name": "minimumRefill:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-41, -59, 100, 63, 65, 15, -87, 57, 66, -66]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_capacityA_static = 53.\nDefine task_1_capacityB_static = -95.\nTrace the execution of task_1 with inputs capacityA = task_1_capacityA_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], capacityA: int, capacityB: int) -> int:\n (a, b) = (capacityA, capacityB)\n ans = 0\n (i, j) = (0, len(list_1) - 1)\n while i < j:\n if a < list_1[i]:\n ans += 1\n a = capacityA\n a -= list_1[i]\n if b < list_1[j]:\n ans += 1\n b = capacityB\n b -= list_1[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":37,\"native_task_name\":\"minimumRefill:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/38/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 38, "target_native_task_name": "minimumRefill:scalar", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -92}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_plants_static = [-43, -41, -40, 17, -63, 84, -48, 100, 43, -85].\nDefine task_1_capacityB_static = -82.\nTrace the execution of task_1 with inputs plants = task_1_plants_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(plants: List[int], val_1: int, capacityB: int) -> int:\n (a, b) = (val_1, capacityB)\n ans = 0\n (i, j) = (0, len(plants) - 1)\n while i < j:\n if a < plants[i]:\n ans += 1\n a = val_1\n a -= plants[i]\n if b < plants[j]:\n ans += 1\n b = capacityB\n b -= plants[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < plants[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":38,\"native_task_name\":\"minimumRefill:scalar\",\"output_value\":9}]"} {"id": "python/single_target_baseline/38/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 38, "target_native_task_name": "minimumRefill:scalar", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 30}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_plants_static = [-91, -46, 16, 91, -46, -51, 1, 61, -18, 81].\nDefine task_1_capacityB_static = -78.\nTrace the execution of task_1 with inputs plants = task_1_plants_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(plants: List[int], val_1: int, capacityB: int) -> int:\n (a, b) = (val_1, capacityB)\n ans = 0\n (i, j) = (0, len(plants) - 1)\n while i < j:\n if a < plants[i]:\n ans += 1\n a = val_1\n a -= plants[i]\n if b < plants[j]:\n ans += 1\n b = capacityB\n b -= plants[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < plants[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":38,\"native_task_name\":\"minimumRefill:scalar\",\"output_value\":5}]"} {"id": "python/single_target_baseline/38/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 38, "target_native_task_name": "minimumRefill:scalar", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -96}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_plants_static = [-11, 71, -63, 7, 9, -12, -23, 65, -12, -74].\nDefine task_1_capacityB_static = -21.\nTrace the execution of task_1 with inputs plants = task_1_plants_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(plants: List[int], val_1: int, capacityB: int) -> int:\n (a, b) = (val_1, capacityB)\n ans = 0\n (i, j) = (0, len(plants) - 1)\n while i < j:\n if a < plants[i]:\n ans += 1\n a = val_1\n a -= plants[i]\n if b < plants[j]:\n ans += 1\n b = capacityB\n b -= plants[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < plants[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":38,\"native_task_name\":\"minimumRefill:scalar\",\"output_value\":5}]"} {"id": "python/single_target_baseline/38/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 38, "target_native_task_name": "minimumRefill:scalar", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 1}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_plants_static = [45, -72, -14, 0, 67, 6, 54, 73, 23, 44].\nDefine task_1_capacityB_static = 13.\nTrace the execution of task_1 with inputs plants = task_1_plants_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(plants: List[int], val_1: int, capacityB: int) -> int:\n (a, b) = (val_1, capacityB)\n ans = 0\n (i, j) = (0, len(plants) - 1)\n while i < j:\n if a < plants[i]:\n ans += 1\n a = val_1\n a -= plants[i]\n if b < plants[j]:\n ans += 1\n b = capacityB\n b -= plants[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < plants[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":38,\"native_task_name\":\"minimumRefill:scalar\",\"output_value\":7}]"} {"id": "python/single_target_baseline/38/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 38, "target_native_task_name": "minimumRefill:scalar", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 62}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_plants_static = [82, -77, -96, -24, 17, -19, 32, 18, -10, -20].\nDefine task_1_capacityB_static = -11.\nTrace the execution of task_1 with inputs plants = task_1_plants_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(plants: List[int], val_1: int, capacityB: int) -> int:\n (a, b) = (val_1, capacityB)\n ans = 0\n (i, j) = (0, len(plants) - 1)\n while i < j:\n if a < plants[i]:\n ans += 1\n a = val_1\n a -= plants[i]\n if b < plants[j]:\n ans += 1\n b = capacityB\n b -= plants[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < plants[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":38,\"native_task_name\":\"minimumRefill:scalar\",\"output_value\":3}]"} {"id": "python/single_target_baseline/38/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 38, "target_native_task_name": "minimumRefill:scalar", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -26}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_plants_static = [76, -7, 32, -49, -38, -7, -71, -28, 15, -76].\nDefine task_1_capacityB_static = 43.\nTrace the execution of task_1 with inputs plants = task_1_plants_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(plants: List[int], val_1: int, capacityB: int) -> int:\n (a, b) = (val_1, capacityB)\n ans = 0\n (i, j) = (0, len(plants) - 1)\n while i < j:\n if a < plants[i]:\n ans += 1\n a = val_1\n a -= plants[i]\n if b < plants[j]:\n ans += 1\n b = capacityB\n b -= plants[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < plants[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":38,\"native_task_name\":\"minimumRefill:scalar\",\"output_value\":4}]"} {"id": "python/single_target_baseline/38/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 38, "target_native_task_name": "minimumRefill:scalar", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -29}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_plants_static = [86, 100, 62, -74, 26, 83, 84, 37, -8, 69].\nDefine task_1_capacityB_static = 10.\nTrace the execution of task_1 with inputs plants = task_1_plants_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(plants: List[int], val_1: int, capacityB: int) -> int:\n (a, b) = (val_1, capacityB)\n ans = 0\n (i, j) = (0, len(plants) - 1)\n while i < j:\n if a < plants[i]:\n ans += 1\n a = val_1\n a -= plants[i]\n if b < plants[j]:\n ans += 1\n b = capacityB\n b -= plants[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < plants[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":38,\"native_task_name\":\"minimumRefill:scalar\",\"output_value\":9}]"} {"id": "python/single_target_baseline/38/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 38, "target_native_task_name": "minimumRefill:scalar", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 27}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_plants_static = [98, -61, -9, -69, -97, 73, -65, 19, -74, -40].\nDefine task_1_capacityB_static = 100.\nTrace the execution of task_1 with inputs plants = task_1_plants_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(plants: List[int], val_1: int, capacityB: int) -> int:\n (a, b) = (val_1, capacityB)\n ans = 0\n (i, j) = (0, len(plants) - 1)\n while i < j:\n if a < plants[i]:\n ans += 1\n a = val_1\n a -= plants[i]\n if b < plants[j]:\n ans += 1\n b = capacityB\n b -= plants[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < plants[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":38,\"native_task_name\":\"minimumRefill:scalar\",\"output_value\":2}]"} {"id": "python/single_target_baseline/38/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 38, "target_native_task_name": "minimumRefill:scalar", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -61}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_plants_static = [93, -77, -22, -10, 71, 80, 62, 41, -79, 45].\nDefine task_1_capacityB_static = -54.\nTrace the execution of task_1 with inputs plants = task_1_plants_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(plants: List[int], val_1: int, capacityB: int) -> int:\n (a, b) = (val_1, capacityB)\n ans = 0\n (i, j) = (0, len(plants) - 1)\n while i < j:\n if a < plants[i]:\n ans += 1\n a = val_1\n a -= plants[i]\n if b < plants[j]:\n ans += 1\n b = capacityB\n b -= plants[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < plants[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":38,\"native_task_name\":\"minimumRefill:scalar\",\"output_value\":8}]"} {"id": "python/single_target_baseline/38/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 38, "target_native_task_name": "minimumRefill:scalar", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 23}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_plants_static = [87, 19, -80, 5, -38, -97, 37, 32, 75, 10].\nDefine task_1_capacityB_static = -68.\nTrace the execution of task_1 with inputs plants = task_1_plants_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(plants: List[int], val_1: int, capacityB: int) -> int:\n (a, b) = (val_1, capacityB)\n ans = 0\n (i, j) = (0, len(plants) - 1)\n while i < j:\n if a < plants[i]:\n ans += 1\n a = val_1\n a -= plants[i]\n if b < plants[j]:\n ans += 1\n b = capacityB\n b -= plants[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < plants[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":38,\"native_task_name\":\"minimumRefill:scalar\",\"output_value\":7}]"} {"id": "python/single_target_baseline/38/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 38, "target_native_task_name": "minimumRefill:scalar", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 15}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_plants_static = [-43, -40, 61, 72, -9, -18, -92, 33, -61, 11].\nDefine task_1_capacityB_static = 1.\nTrace the execution of task_1 with inputs plants = task_1_plants_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(plants: List[int], val_1: int, capacityB: int) -> int:\n (a, b) = (val_1, capacityB)\n ans = 0\n (i, j) = (0, len(plants) - 1)\n while i < j:\n if a < plants[i]:\n ans += 1\n a = val_1\n a -= plants[i]\n if b < plants[j]:\n ans += 1\n b = capacityB\n b -= plants[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < plants[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":38,\"native_task_name\":\"minimumRefill:scalar\",\"output_value\":3}]"} {"id": "python/single_target_baseline/38/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 38, "target_native_task_name": "minimumRefill:scalar", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -50}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_plants_static = [93, 97, 29, -72, 26, -49, 57, -45, -79, 93].\nDefine task_1_capacityB_static = 6.\nTrace the execution of task_1 with inputs plants = task_1_plants_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(plants: List[int], val_1: int, capacityB: int) -> int:\n (a, b) = (val_1, capacityB)\n ans = 0\n (i, j) = (0, len(plants) - 1)\n while i < j:\n if a < plants[i]:\n ans += 1\n a = val_1\n a -= plants[i]\n if b < plants[j]:\n ans += 1\n b = capacityB\n b -= plants[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < plants[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":38,\"native_task_name\":\"minimumRefill:scalar\",\"output_value\":7}]"} {"id": "python/single_target_baseline/38/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 38, "target_native_task_name": "minimumRefill:scalar", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -98}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_plants_static = [56, 24, -96, -48, -28, -84, 44, -57, 23, 47].\nDefine task_1_capacityB_static = -96.\nTrace the execution of task_1 with inputs plants = task_1_plants_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(plants: List[int], val_1: int, capacityB: int) -> int:\n (a, b) = (val_1, capacityB)\n ans = 0\n (i, j) = (0, len(plants) - 1)\n while i < j:\n if a < plants[i]:\n ans += 1\n a = val_1\n a -= plants[i]\n if b < plants[j]:\n ans += 1\n b = capacityB\n b -= plants[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < plants[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":38,\"native_task_name\":\"minimumRefill:scalar\",\"output_value\":8}]"} {"id": "python/single_target_baseline/38/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 38, "target_native_task_name": "minimumRefill:scalar", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -17}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_plants_static = [74, -25, 4, -39, 79, 58, -9, 60, 35, -28].\nDefine task_1_capacityB_static = 16.\nTrace the execution of task_1 with inputs plants = task_1_plants_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(plants: List[int], val_1: int, capacityB: int) -> int:\n (a, b) = (val_1, capacityB)\n ans = 0\n (i, j) = (0, len(plants) - 1)\n while i < j:\n if a < plants[i]:\n ans += 1\n a = val_1\n a -= plants[i]\n if b < plants[j]:\n ans += 1\n b = capacityB\n b -= plants[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < plants[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":38,\"native_task_name\":\"minimumRefill:scalar\",\"output_value\":6}]"} {"id": "python/single_target_baseline/38/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 38, "target_native_task_name": "minimumRefill:scalar", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -63}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_plants_static = [-59, 11, 14, -79, 15, -84, 43, -82, -49, 7].\nDefine task_1_capacityB_static = 72.\nTrace the execution of task_1 with inputs plants = task_1_plants_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(plants: List[int], val_1: int, capacityB: int) -> int:\n (a, b) = (val_1, capacityB)\n ans = 0\n (i, j) = (0, len(plants) - 1)\n while i < j:\n if a < plants[i]:\n ans += 1\n a = val_1\n a -= plants[i]\n if b < plants[j]:\n ans += 1\n b = capacityB\n b -= plants[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < plants[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":38,\"native_task_name\":\"minimumRefill:scalar\",\"output_value\":4}]"} {"id": "python/single_target_baseline/38/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 38, "target_native_task_name": "minimumRefill:scalar", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 30}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_plants_static = [65, 56, 50, -5, -77, -47, -76, -64, -3, -69].\nDefine task_1_capacityB_static = 47.\nTrace the execution of task_1 with inputs plants = task_1_plants_static, capacityB = task_1_capacityB_static.\n```python\nfrom typing import List\ndef task_1(plants: List[int], val_1: int, capacityB: int) -> int:\n (a, b) = (val_1, capacityB)\n ans = 0\n (i, j) = (0, len(plants) - 1)\n while i < j:\n if a < plants[i]:\n ans += 1\n a = val_1\n a -= plants[i]\n if b < plants[j]:\n ans += 1\n b = capacityB\n b -= plants[j]\n (i, j) = (i + 1, j - 1)\n ans += i == j and max(a, b) < plants[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":38,\"native_task_name\":\"minimumRefill:scalar\",\"output_value\":4}]"} {"id": "python/single_target_baseline/39/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 39, "target_native_task_name": "getDescentPeriods:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-44, -76, 50, 49, -88, 58, 26, -26, 78, -69]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = 0\n (i, n) = (0, len(list_1))\n while i < n:\n j = i + 1\n while j < n and list_1[j - 1] - list_1[j] == 1:\n j += 1\n cnt = j - i\n ans += (1 + cnt) * cnt // 2\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "11", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":39,\"native_task_name\":\"getDescentPeriods:list\",\"output_value\":11}]"} {"id": "python/single_target_baseline/39/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 39, "target_native_task_name": "getDescentPeriods:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-38, -17, 76, 77, -11, 82, -42, 94, 45, 92]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = 0\n (i, n) = (0, len(list_1))\n while i < n:\n j = i + 1\n while j < n and list_1[j - 1] - list_1[j] == 1:\n j += 1\n cnt = j - i\n ans += (1 + cnt) * cnt // 2\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":39,\"native_task_name\":\"getDescentPeriods:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/39/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 39, "target_native_task_name": "getDescentPeriods:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-97, -55, 4, -64, 71, -59, -44, 61, 79, 19]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = 0\n (i, n) = (0, len(list_1))\n while i < n:\n j = i + 1\n while j < n and list_1[j - 1] - list_1[j] == 1:\n j += 1\n cnt = j - i\n ans += (1 + cnt) * cnt // 2\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":39,\"native_task_name\":\"getDescentPeriods:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/39/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 39, "target_native_task_name": "getDescentPeriods:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-55, 10, -61, -85, -92, -36, -47, -46, -88, 64]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = 0\n (i, n) = (0, len(list_1))\n while i < n:\n j = i + 1\n while j < n and list_1[j - 1] - list_1[j] == 1:\n j += 1\n cnt = j - i\n ans += (1 + cnt) * cnt // 2\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":39,\"native_task_name\":\"getDescentPeriods:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/39/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 39, "target_native_task_name": "getDescentPeriods:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [26, 57, 11, 90, -36, 53, 0, 4, 61, -5]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = 0\n (i, n) = (0, len(list_1))\n while i < n:\n j = i + 1\n while j < n and list_1[j - 1] - list_1[j] == 1:\n j += 1\n cnt = j - i\n ans += (1 + cnt) * cnt // 2\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":39,\"native_task_name\":\"getDescentPeriods:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/39/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 39, "target_native_task_name": "getDescentPeriods:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [7, -61, 17, 49, 86, 3, -94, 42, -64, 53]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = 0\n (i, n) = (0, len(list_1))\n while i < n:\n j = i + 1\n while j < n and list_1[j - 1] - list_1[j] == 1:\n j += 1\n cnt = j - i\n ans += (1 + cnt) * cnt // 2\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":39,\"native_task_name\":\"getDescentPeriods:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/39/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 39, "target_native_task_name": "getDescentPeriods:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-35, 44, -13, -53, 12, -82, 6, 59, -42, 37]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = 0\n (i, n) = (0, len(list_1))\n while i < n:\n j = i + 1\n while j < n and list_1[j - 1] - list_1[j] == 1:\n j += 1\n cnt = j - i\n ans += (1 + cnt) * cnt // 2\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":39,\"native_task_name\":\"getDescentPeriods:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/39/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 39, "target_native_task_name": "getDescentPeriods:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [98, -70, -15, -93, 20, 45, -86, 18, 82, -32]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = 0\n (i, n) = (0, len(list_1))\n while i < n:\n j = i + 1\n while j < n and list_1[j - 1] - list_1[j] == 1:\n j += 1\n cnt = j - i\n ans += (1 + cnt) * cnt // 2\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":39,\"native_task_name\":\"getDescentPeriods:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/39/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 39, "target_native_task_name": "getDescentPeriods:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [23, -92, -33, 39, -99, -31, -24, 4, 56, 73]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = 0\n (i, n) = (0, len(list_1))\n while i < n:\n j = i + 1\n while j < n and list_1[j - 1] - list_1[j] == 1:\n j += 1\n cnt = j - i\n ans += (1 + cnt) * cnt // 2\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":39,\"native_task_name\":\"getDescentPeriods:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/39/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 39, "target_native_task_name": "getDescentPeriods:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [4, -68, 17, -49, 34, 84, 79, -54, -49, 16]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = 0\n (i, n) = (0, len(list_1))\n while i < n:\n j = i + 1\n while j < n and list_1[j - 1] - list_1[j] == 1:\n j += 1\n cnt = j - i\n ans += (1 + cnt) * cnt // 2\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":39,\"native_task_name\":\"getDescentPeriods:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/39/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 39, "target_native_task_name": "getDescentPeriods:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-7, 97, 0, -24, -4, -44, -69, -80, 71, -76]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = 0\n (i, n) = (0, len(list_1))\n while i < n:\n j = i + 1\n while j < n and list_1[j - 1] - list_1[j] == 1:\n j += 1\n cnt = j - i\n ans += (1 + cnt) * cnt // 2\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":39,\"native_task_name\":\"getDescentPeriods:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/39/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 39, "target_native_task_name": "getDescentPeriods:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-52, -54, 42, -99, 9, -66, 84, 70, -53, -54]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = 0\n (i, n) = (0, len(list_1))\n while i < n:\n j = i + 1\n while j < n and list_1[j - 1] - list_1[j] == 1:\n j += 1\n cnt = j - i\n ans += (1 + cnt) * cnt // 2\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "11", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":39,\"native_task_name\":\"getDescentPeriods:list\",\"output_value\":11}]"} {"id": "python/single_target_baseline/39/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 39, "target_native_task_name": "getDescentPeriods:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-58, -87, -5, -42, -42, 55, -60, 77, 90, -48]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = 0\n (i, n) = (0, len(list_1))\n while i < n:\n j = i + 1\n while j < n and list_1[j - 1] - list_1[j] == 1:\n j += 1\n cnt = j - i\n ans += (1 + cnt) * cnt // 2\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":39,\"native_task_name\":\"getDescentPeriods:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/39/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 39, "target_native_task_name": "getDescentPeriods:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-35, 39, -95, -30, -12, -67, 62, -85, 33, -91]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = 0\n (i, n) = (0, len(list_1))\n while i < n:\n j = i + 1\n while j < n and list_1[j - 1] - list_1[j] == 1:\n j += 1\n cnt = j - i\n ans += (1 + cnt) * cnt // 2\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":39,\"native_task_name\":\"getDescentPeriods:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/39/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 39, "target_native_task_name": "getDescentPeriods:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-50, 47, -18, -19, -58, -67, -90, -35, 51, -82]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = 0\n (i, n) = (0, len(list_1))\n while i < n:\n j = i + 1\n while j < n and list_1[j - 1] - list_1[j] == 1:\n j += 1\n cnt = j - i\n ans += (1 + cnt) * cnt // 2\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "11", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":39,\"native_task_name\":\"getDescentPeriods:list\",\"output_value\":11}]"} {"id": "python/single_target_baseline/39/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 39, "target_native_task_name": "getDescentPeriods:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [68, -40, 80, 82, 29, -9, 72, -56, 53, -82]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = 0\n (i, n) = (0, len(list_1))\n while i < n:\n j = i + 1\n while j < n and list_1[j - 1] - list_1[j] == 1:\n j += 1\n cnt = j - i\n ans += (1 + cnt) * cnt // 2\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":39,\"native_task_name\":\"getDescentPeriods:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/40/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 40, "target_native_task_name": "countPairs:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [100, 39, 87, -24, 84, 49, -64, -93, -23, -45]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [12, 5, 24, -22, -15, -6, -46, -29, 52, 88].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n nums = [a - b for (a, b) in zip(list_1, nums2)]\n nums.sort()\n (l, r) = (0, len(nums) - 1)\n ans = 0\n while l < r:\n while l < r and nums[l] + nums[r] <= 0:\n l += 1\n ans += r - l\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "20", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":40,\"native_task_name\":\"countPairs:list\",\"output_value\":20}]"} {"id": "python/single_target_baseline/40/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 40, "target_native_task_name": "countPairs:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-31, 57, -96, 18, -24, 53, 87, -81, 58, -71]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [28, -39, 95, -6, -1, 95, 41, -98, -27, 78].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n nums = [a - b for (a, b) in zip(list_1, nums2)]\n nums.sort()\n (l, r) = (0, len(nums) - 1)\n ans = 0\n while l < r:\n while l < r and nums[l] + nums[r] <= 0:\n l += 1\n ans += r - l\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "19", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":40,\"native_task_name\":\"countPairs:list\",\"output_value\":19}]"} {"id": "python/single_target_baseline/40/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 40, "target_native_task_name": "countPairs:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [56, -5, -8, 97, -42, -42, -18, -19, 60, 37]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [91, -13, 52, 20, 34, -98, -92, -31, 74, 60].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n nums = [a - b for (a, b) in zip(list_1, nums2)]\n nums.sort()\n (l, r) = (0, len(nums) - 1)\n ans = 0\n while l < r:\n while l < r and nums[l] + nums[r] <= 0:\n l += 1\n ans += r - l\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "22", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":40,\"native_task_name\":\"countPairs:list\",\"output_value\":22}]"} {"id": "python/single_target_baseline/40/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 40, "target_native_task_name": "countPairs:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [80, 4, -82, 92, 6, -46, -42, 26, 82, -58]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-77, 27, 71, -72, -38, -24, -41, -11, -41, 80].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n nums = [a - b for (a, b) in zip(list_1, nums2)]\n nums.sort()\n (l, r) = (0, len(nums) - 1)\n ans = 0\n while l < r:\n while l < r and nums[l] + nums[r] <= 0:\n l += 1\n ans += r - l\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "29", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":40,\"native_task_name\":\"countPairs:list\",\"output_value\":29}]"} {"id": "python/single_target_baseline/40/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 40, "target_native_task_name": "countPairs:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-44, 10, -50, -37, 68, -25, 85, -63, -36, 7]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [23, 72, 2, 52, 16, 81, 79, -60, -5, 41].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n nums = [a - b for (a, b) in zip(list_1, nums2)]\n nums.sort()\n (l, r) = (0, len(nums) - 1)\n ans = 0\n while l < r:\n while l < r and nums[l] + nums[r] <= 0:\n l += 1\n ans += r - l\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":40,\"native_task_name\":\"countPairs:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/40/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 40, "target_native_task_name": "countPairs:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-11, -9, -61, 33, 85, -55, -45, -60, -64, -14]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-51, 86, -74, -51, -74, 38, 97, 19, 42, 30].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n nums = [a - b for (a, b) in zip(list_1, nums2)]\n nums.sort()\n (l, r) = (0, len(nums) - 1)\n ans = 0\n while l < r:\n while l < r and nums[l] + nums[r] <= 0:\n l += 1\n ans += r - l\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "14", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":40,\"native_task_name\":\"countPairs:list\",\"output_value\":14}]"} {"id": "python/single_target_baseline/40/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 40, "target_native_task_name": "countPairs:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [2, -54, 59, 5, -56, -49, -82, 32, 51, -26]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-1, 2, 17, 60, -49, 100, 13, -74, -80, 47].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n nums = [a - b for (a, b) in zip(list_1, nums2)]\n nums.sort()\n (l, r) = (0, len(nums) - 1)\n ans = 0\n while l < r:\n while l < r and nums[l] + nums[r] <= 0:\n l += 1\n ans += r - l\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "17", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":40,\"native_task_name\":\"countPairs:list\",\"output_value\":17}]"} {"id": "python/single_target_baseline/40/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 40, "target_native_task_name": "countPairs:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-58, -59, 66, -77, -63, -5, -1, -76, 91, -83]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-95, 17, -5, 31, -16, 6, 6, 60, -75, 36].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n nums = [a - b for (a, b) in zip(list_1, nums2)]\n nums.sort()\n (l, r) = (0, len(nums) - 1)\n ans = 0\n while l < r:\n while l < r and nums[l] + nums[r] <= 0:\n l += 1\n ans += r - l\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "15", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":40,\"native_task_name\":\"countPairs:list\",\"output_value\":15}]"} {"id": "python/single_target_baseline/40/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 40, "target_native_task_name": "countPairs:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [65, 60, -4, -25, 41, -8, -52, -37, 98, -1]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-21, 90, 80, -33, -16, 33, -85, 8, -42, -22].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n nums = [a - b for (a, b) in zip(list_1, nums2)]\n nums.sort()\n (l, r) = (0, len(nums) - 1)\n ans = 0\n while l < r:\n while l < r and nums[l] + nums[r] <= 0:\n l += 1\n ans += r - l\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "27", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":40,\"native_task_name\":\"countPairs:list\",\"output_value\":27}]"} {"id": "python/single_target_baseline/40/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 40, "target_native_task_name": "countPairs:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-46, 76, 67, 14, -38, -28, -69, 80, 83, 2]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [43, 35, 12, -27, -86, 49, -25, -93, -25, 74].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n nums = [a - b for (a, b) in zip(list_1, nums2)]\n nums.sort()\n (l, r) = (0, len(nums) - 1)\n ans = 0\n while l < r:\n while l < r and nums[l] + nums[r] <= 0:\n l += 1\n ans += r - l\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "25", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":40,\"native_task_name\":\"countPairs:list\",\"output_value\":25}]"} {"id": "python/single_target_baseline/40/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 40, "target_native_task_name": "countPairs:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [71, 1, 64, -56, -82, -56, 53, -92, 33, 66]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [93, -28, -84, 94, -6, -11, -60, -1, -44, 76].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n nums = [a - b for (a, b) in zip(list_1, nums2)]\n nums.sort()\n (l, r) = (0, len(nums) - 1)\n ans = 0\n while l < r:\n while l < r and nums[l] + nums[r] <= 0:\n l += 1\n ans += r - l\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "22", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":40,\"native_task_name\":\"countPairs:list\",\"output_value\":22}]"} {"id": "python/single_target_baseline/40/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 40, "target_native_task_name": "countPairs:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-57, -40, 77, -26, 42, -39, -89, 76, 48, 1]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [11, -85, 89, 10, 94, -14, -60, 46, -25, 65].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n nums = [a - b for (a, b) in zip(list_1, nums2)]\n nums.sort()\n (l, r) = (0, len(nums) - 1)\n ans = 0\n while l < r:\n while l < r and nums[l] + nums[r] <= 0:\n l += 1\n ans += r - l\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "17", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":40,\"native_task_name\":\"countPairs:list\",\"output_value\":17}]"} {"id": "python/single_target_baseline/40/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 40, "target_native_task_name": "countPairs:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-9, -59, 15, -1, 51, -48, 24, 8, -11, 62]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [70, 0, -11, -32, -18, 92, 26, -77, 88, 37].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n nums = [a - b for (a, b) in zip(list_1, nums2)]\n nums.sort()\n (l, r) = (0, len(nums) - 1)\n ans = 0\n while l < r:\n while l < r and nums[l] + nums[r] <= 0:\n l += 1\n ans += r - l\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "18", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":40,\"native_task_name\":\"countPairs:list\",\"output_value\":18}]"} {"id": "python/single_target_baseline/40/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 40, "target_native_task_name": "countPairs:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-81, -18, 8, -78, -35, -27, 0, -83, 83, -83]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-46, -46, -75, 12, 77, -21, 6, 70, 93, -68].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n nums = [a - b for (a, b) in zip(list_1, nums2)]\n nums.sort()\n (l, r) = (0, len(nums) - 1)\n ans = 0\n while l < r:\n while l < r and nums[l] + nums[r] <= 0:\n l += 1\n ans += r - l\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":40,\"native_task_name\":\"countPairs:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/40/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 40, "target_native_task_name": "countPairs:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-5, -25, -77, 10, 69, 8, -3, 59, 86, 80]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [43, -72, 32, 9, -94, 80, 16, 98, -12, 14].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n nums = [a - b for (a, b) in zip(list_1, nums2)]\n nums.sort()\n (l, r) = (0, len(nums) - 1)\n ans = 0\n while l < r:\n while l < r and nums[l] + nums[r] <= 0:\n l += 1\n ans += r - l\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "24", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":40,\"native_task_name\":\"countPairs:list\",\"output_value\":24}]"} {"id": "python/single_target_baseline/40/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 40, "target_native_task_name": "countPairs:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [78, 51, 85, 75, -80, 81, 87, 92, 26, 48]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [52, -1, -49, 100, -85, 36, 24, 39, 49, -40].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n nums = [a - b for (a, b) in zip(list_1, nums2)]\n nums.sort()\n (l, r) = (0, len(nums) - 1)\n ans = 0\n while l < r:\n while l < r and nums[l] + nums[r] <= 0:\n l += 1\n ans += r - l\n r -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "42", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":40,\"native_task_name\":\"countPairs:list\",\"output_value\":42}]"} {"id": "python/single_target_baseline/41/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 41, "target_native_task_name": "validSubarrays:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-21, -45, -64, 42, 35, 0, -82, 29, -89, 88]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n right = [n] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = sum((j - i for (i, j) in enumerate(right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "15", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":41,\"native_task_name\":\"validSubarrays:list\",\"output_value\":15}]"} {"id": "python/single_target_baseline/41/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 41, "target_native_task_name": "validSubarrays:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-76, 82, -98, -84, -34, -49, -44, 74, 91, -5]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n right = [n] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = sum((j - i for (i, j) in enumerate(right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "32", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":41,\"native_task_name\":\"validSubarrays:list\",\"output_value\":32}]"} {"id": "python/single_target_baseline/41/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 41, "target_native_task_name": "validSubarrays:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [70, -56, -25, 45, 96, 17, -80, -29, 78, -59]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n right = [n] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = sum((j - i for (i, j) in enumerate(right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "22", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":41,\"native_task_name\":\"validSubarrays:list\",\"output_value\":22}]"} {"id": "python/single_target_baseline/41/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 41, "target_native_task_name": "validSubarrays:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [6, 22, -79, -68, -48, -27, 38, 8, -24, -92]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n right = [n] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = sum((j - i for (i, j) in enumerate(right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "29", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":41,\"native_task_name\":\"validSubarrays:list\",\"output_value\":29}]"} {"id": "python/single_target_baseline/41/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 41, "target_native_task_name": "validSubarrays:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [57, 52, 55, -84, -46, -47, 56, 3, -51, -16]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n right = [n] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = sum((j - i for (i, j) in enumerate(right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "20", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":41,\"native_task_name\":\"validSubarrays:list\",\"output_value\":20}]"} {"id": "python/single_target_baseline/41/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 41, "target_native_task_name": "validSubarrays:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-56, 8, -12, 62, 69, 75, 23, -96, -33, -11]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n right = [n] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = sum((j - i for (i, j) in enumerate(right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "26", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":41,\"native_task_name\":\"validSubarrays:list\",\"output_value\":26}]"} {"id": "python/single_target_baseline/41/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 41, "target_native_task_name": "validSubarrays:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [100, 73, -4, -95, 57, 3, 36, 26, -87, 89]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n right = [n] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = sum((j - i for (i, j) in enumerate(right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "20", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":41,\"native_task_name\":\"validSubarrays:list\",\"output_value\":20}]"} {"id": "python/single_target_baseline/41/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 41, "target_native_task_name": "validSubarrays:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [0, 35, 79, 55, -88, 14, -66, -85, -78, -60]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n right = [n] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = sum((j - i for (i, j) in enumerate(right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "23", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":41,\"native_task_name\":\"validSubarrays:list\",\"output_value\":23}]"} {"id": "python/single_target_baseline/41/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 41, "target_native_task_name": "validSubarrays:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [59, 79, 23, 54, 39, -24, -18, 47, -18, 12]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n right = [n] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = sum((j - i for (i, j) in enumerate(right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "21", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":41,\"native_task_name\":\"validSubarrays:list\",\"output_value\":21}]"} {"id": "python/single_target_baseline/41/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 41, "target_native_task_name": "validSubarrays:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [85, -34, 6, 71, -63, -91, -93, 10, 90, -41]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n right = [n] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = sum((j - i for (i, j) in enumerate(right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "17", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":41,\"native_task_name\":\"validSubarrays:list\",\"output_value\":17}]"} {"id": "python/single_target_baseline/41/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 41, "target_native_task_name": "validSubarrays:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [40, 86, 74, -12, -22, -16, -87, -17, -46, 67]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n right = [n] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = sum((j - i for (i, j) in enumerate(right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "17", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":41,\"native_task_name\":\"validSubarrays:list\",\"output_value\":17}]"} {"id": "python/single_target_baseline/41/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 41, "target_native_task_name": "validSubarrays:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [35, 66, 80, -98, -30, 10, 51, -67, 71, -90]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n right = [n] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = sum((j - i for (i, j) in enumerate(right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "23", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":41,\"native_task_name\":\"validSubarrays:list\",\"output_value\":23}]"} {"id": "python/single_target_baseline/41/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 41, "target_native_task_name": "validSubarrays:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [16, -41, 6, -60, 5, 91, -37, -96, 64, -88]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n right = [n] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = sum((j - i for (i, j) in enumerate(right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "17", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":41,\"native_task_name\":\"validSubarrays:list\",\"output_value\":17}]"} {"id": "python/single_target_baseline/41/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 41, "target_native_task_name": "validSubarrays:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [83, 92, -74, 66, -37, -73, -40, 76, -84, 74]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n right = [n] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = sum((j - i for (i, j) in enumerate(right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "20", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":41,\"native_task_name\":\"validSubarrays:list\",\"output_value\":20}]"} {"id": "python/single_target_baseline/41/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 41, "target_native_task_name": "validSubarrays:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-7, 35, -41, 73, -4, 78, 91, -51, -27, -28]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n right = [n] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = sum((j - i for (i, j) in enumerate(right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "20", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":41,\"native_task_name\":\"validSubarrays:list\",\"output_value\":20}]"} {"id": "python/single_target_baseline/41/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 41, "target_native_task_name": "validSubarrays:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [67, 65, -44, -37, 94, 59, 28, 78, 95, -4]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n right = [n] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] >= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = sum((j - i for (i, j) in enumerate(right)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "26", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":41,\"native_task_name\":\"validSubarrays:list\",\"output_value\":26}]"} {"id": "python/single_target_baseline/42/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 42, "target_native_task_name": "threeSumSmaller:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [69, -48, -4, 9, -86, 3, -13, 73, 32, -30]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_target_static = 62.\nTrace the execution of task_1 with inputs target = task_1_target_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], target: int) -> int:\n list_1.sort()\n (ans, n) = (0, len(list_1))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = list_1[i] + list_1[j] + list_1[k]\n if x < target:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "94", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":42,\"native_task_name\":\"threeSumSmaller:list\",\"output_value\":94}]"} {"id": "python/single_target_baseline/42/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 42, "target_native_task_name": "threeSumSmaller:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-55, -8, -50, 37, -43, -89, -96, -84, 77, -36]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_target_static = -9.\nTrace the execution of task_1 with inputs target = task_1_target_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], target: int) -> int:\n list_1.sort()\n (ans, n) = (0, len(list_1))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = list_1[i] + list_1[j] + list_1[k]\n if x < target:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "105", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":42,\"native_task_name\":\"threeSumSmaller:list\",\"output_value\":105}]"} {"id": "python/single_target_baseline/42/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 42, "target_native_task_name": "threeSumSmaller:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [18, 4, 11, 95, -19, 6, -23, 65, 96, -75]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_target_static = -38.\nTrace the execution of task_1 with inputs target = task_1_target_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], target: int) -> int:\n list_1.sort()\n (ans, n) = (0, len(list_1))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = list_1[i] + list_1[j] + list_1[k]\n if x < target:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "15", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":42,\"native_task_name\":\"threeSumSmaller:list\",\"output_value\":15}]"} {"id": "python/single_target_baseline/42/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 42, "target_native_task_name": "threeSumSmaller:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [9, -68, -36, 96, -88, -70, -14, -31, -60, -64]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_target_static = -52.\nTrace the execution of task_1 with inputs target = task_1_target_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], target: int) -> int:\n list_1.sort()\n (ans, n) = (0, len(list_1))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = list_1[i] + list_1[j] + list_1[k]\n if x < target:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "85", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":42,\"native_task_name\":\"threeSumSmaller:list\",\"output_value\":85}]"} {"id": "python/single_target_baseline/42/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 42, "target_native_task_name": "threeSumSmaller:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [29, 68, -5, -39, -71, 53, -14, 50, -19, 41]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_target_static = -97.\nTrace the execution of task_1 with inputs target = task_1_target_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], target: int) -> int:\n list_1.sort()\n (ans, n) = (0, len(list_1))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = list_1[i] + list_1[j] + list_1[k]\n if x < target:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":42,\"native_task_name\":\"threeSumSmaller:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/42/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 42, "target_native_task_name": "threeSumSmaller:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [78, -34, -28, -29, -49, 86, 24, -65, -10, 66]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_target_static = 8.\nTrace the execution of task_1 with inputs target = task_1_target_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], target: int) -> int:\n list_1.sort()\n (ans, n) = (0, len(list_1))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = list_1[i] + list_1[j] + list_1[k]\n if x < target:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "59", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":42,\"native_task_name\":\"threeSumSmaller:list\",\"output_value\":59}]"} {"id": "python/single_target_baseline/42/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 42, "target_native_task_name": "threeSumSmaller:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-92, -99, 53, 24, 69, -55, -94, -8, 36, 99]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_target_static = -100.\nTrace the execution of task_1 with inputs target = task_1_target_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], target: int) -> int:\n list_1.sort()\n (ans, n) = (0, len(list_1))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = list_1[i] + list_1[j] + list_1[k]\n if x < target:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "29", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":42,\"native_task_name\":\"threeSumSmaller:list\",\"output_value\":29}]"} {"id": "python/single_target_baseline/42/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 42, "target_native_task_name": "threeSumSmaller:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-42, 44, -79, 88, -85, -94, -49, 60, -52, 97]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_target_static = 90.\nTrace the execution of task_1 with inputs target = task_1_target_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], target: int) -> int:\n list_1.sort()\n (ans, n) = (0, len(list_1))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = list_1[i] + list_1[j] + list_1[k]\n if x < target:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "101", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":42,\"native_task_name\":\"threeSumSmaller:list\",\"output_value\":101}]"} {"id": "python/single_target_baseline/42/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 42, "target_native_task_name": "threeSumSmaller:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [12, 43, -74, 66, 85, -15, 32, -71, 67, 33]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_target_static = 33.\nTrace the execution of task_1 with inputs target = task_1_target_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], target: int) -> int:\n list_1.sort()\n (ans, n) = (0, len(list_1))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = list_1[i] + list_1[j] + list_1[k]\n if x < target:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "50", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":42,\"native_task_name\":\"threeSumSmaller:list\",\"output_value\":50}]"} {"id": "python/single_target_baseline/42/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 42, "target_native_task_name": "threeSumSmaller:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-29, -18, 75, 32, 27, 21, -33, -79, -90, -42]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_target_static = -51.\nTrace the execution of task_1 with inputs target = task_1_target_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], target: int) -> int:\n list_1.sort()\n (ans, n) = (0, len(list_1))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = list_1[i] + list_1[j] + list_1[k]\n if x < target:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "50", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":42,\"native_task_name\":\"threeSumSmaller:list\",\"output_value\":50}]"} {"id": "python/single_target_baseline/42/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 42, "target_native_task_name": "threeSumSmaller:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [19, 27, 81, -73, 85, 23, -31, -56, -33, -13]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_target_static = 39.\nTrace the execution of task_1 with inputs target = task_1_target_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], target: int) -> int:\n list_1.sort()\n (ans, n) = (0, len(list_1))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = list_1[i] + list_1[j] + list_1[k]\n if x < target:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "78", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":42,\"native_task_name\":\"threeSumSmaller:list\",\"output_value\":78}]"} {"id": "python/single_target_baseline/42/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 42, "target_native_task_name": "threeSumSmaller:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [76, -15, -24, -32, 18, 23, -99, 82, -58, 18]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_target_static = -57.\nTrace the execution of task_1 with inputs target = task_1_target_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], target: int) -> int:\n list_1.sort()\n (ans, n) = (0, len(list_1))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = list_1[i] + list_1[j] + list_1[k]\n if x < target:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "33", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":42,\"native_task_name\":\"threeSumSmaller:list\",\"output_value\":33}]"} {"id": "python/single_target_baseline/42/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 42, "target_native_task_name": "threeSumSmaller:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [30, -28, 67, -7, -87, -16, 48, -69, 99, -85]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_target_static = -87.\nTrace the execution of task_1 with inputs target = task_1_target_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], target: int) -> int:\n list_1.sort()\n (ans, n) = (0, len(list_1))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = list_1[i] + list_1[j] + list_1[k]\n if x < target:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "27", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":42,\"native_task_name\":\"threeSumSmaller:list\",\"output_value\":27}]"} {"id": "python/single_target_baseline/42/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 42, "target_native_task_name": "threeSumSmaller:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-23, 34, -20, 96, 2, -8, -47, 48, 37, 23]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_target_static = 13.\nTrace the execution of task_1 with inputs target = task_1_target_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], target: int) -> int:\n list_1.sort()\n (ans, n) = (0, len(list_1))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = list_1[i] + list_1[j] + list_1[k]\n if x < target:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "39", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":42,\"native_task_name\":\"threeSumSmaller:list\",\"output_value\":39}]"} {"id": "python/single_target_baseline/42/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 42, "target_native_task_name": "threeSumSmaller:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [5, 55, -61, -41, 6, 9, -12, -17, -46, 31]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_target_static = -25.\nTrace the execution of task_1 with inputs target = task_1_target_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], target: int) -> int:\n list_1.sort()\n (ans, n) = (0, len(list_1))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = list_1[i] + list_1[j] + list_1[k]\n if x < target:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "57", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":42,\"native_task_name\":\"threeSumSmaller:list\",\"output_value\":57}]"} {"id": "python/single_target_baseline/42/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 42, "target_native_task_name": "threeSumSmaller:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-5, -23, 5, -13, -49, 84, 19, -82, 53, 45]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_target_static = 91.\nTrace the execution of task_1 with inputs target = task_1_target_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], target: int) -> int:\n list_1.sort()\n (ans, n) = (0, len(list_1))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = list_1[i] + list_1[j] + list_1[k]\n if x < target:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "104", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":42,\"native_task_name\":\"threeSumSmaller:list\",\"output_value\":104}]"} {"id": "python/single_target_baseline/43/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 43, "target_native_task_name": "threeSumSmaller:scalar", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 43}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [82, 36, 75, 92, 74, 18, -61, 25, 12, 61].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n (ans, n) = (0, len(nums))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = nums[i] + nums[j] + nums[k]\n if x < val_1:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "18", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":43,\"native_task_name\":\"threeSumSmaller:scalar\",\"output_value\":18}]"} {"id": "python/single_target_baseline/43/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 43, "target_native_task_name": "threeSumSmaller:scalar", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 51}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-44, -70, 86, -99, -94, 47, -52, 86, -27, -53].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n (ans, n) = (0, len(nums))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = nums[i] + nums[j] + nums[k]\n if x < val_1:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "102", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":43,\"native_task_name\":\"threeSumSmaller:scalar\",\"output_value\":102}]"} {"id": "python/single_target_baseline/43/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 43, "target_native_task_name": "threeSumSmaller:scalar", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 5}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [1, -36, -72, -42, -36, -26, 84, -60, -16, -59].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n (ans, n) = (0, len(nums))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = nums[i] + nums[j] + nums[k]\n if x < val_1:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "100", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":43,\"native_task_name\":\"threeSumSmaller:scalar\",\"output_value\":100}]"} {"id": "python/single_target_baseline/43/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 43, "target_native_task_name": "threeSumSmaller:scalar", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 0}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-4, 82, -32, -70, -9, 76, 39, -57, -71, 79].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n (ans, n) = (0, len(nums))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = nums[i] + nums[j] + nums[k]\n if x < val_1:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "54", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":43,\"native_task_name\":\"threeSumSmaller:scalar\",\"output_value\":54}]"} {"id": "python/single_target_baseline/43/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 43, "target_native_task_name": "threeSumSmaller:scalar", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -46}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [5, -8, 44, -77, 3, -25, -56, -33, -63, -37].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n (ans, n) = (0, len(nums))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = nums[i] + nums[j] + nums[k]\n if x < val_1:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "83", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":43,\"native_task_name\":\"threeSumSmaller:scalar\",\"output_value\":83}]"} {"id": "python/single_target_baseline/43/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 43, "target_native_task_name": "threeSumSmaller:scalar", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 68}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [29, -21, -45, 16, 38, -14, 90, 65, 22, 9].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n (ans, n) = (0, len(nums))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = nums[i] + nums[j] + nums[k]\n if x < val_1:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "70", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":43,\"native_task_name\":\"threeSumSmaller:scalar\",\"output_value\":70}]"} {"id": "python/single_target_baseline/43/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 43, "target_native_task_name": "threeSumSmaller:scalar", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 2}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-11, 53, 94, -18, -77, -64, 90, -73, 57, 49].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n (ans, n) = (0, len(nums))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = nums[i] + nums[j] + nums[k]\n if x < val_1:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "46", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":43,\"native_task_name\":\"threeSumSmaller:scalar\",\"output_value\":46}]"} {"id": "python/single_target_baseline/43/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 43, "target_native_task_name": "threeSumSmaller:scalar", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 13}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [92, 14, 55, -47, -81, -37, 9, 83, -32, -35].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n (ans, n) = (0, len(nums))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = nums[i] + nums[j] + nums[k]\n if x < val_1:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "62", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":43,\"native_task_name\":\"threeSumSmaller:scalar\",\"output_value\":62}]"} {"id": "python/single_target_baseline/43/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 43, "target_native_task_name": "threeSumSmaller:scalar", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 47}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [1, -64, -56, 93, 78, -46, -20, 34, 1, 54].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n (ans, n) = (0, len(nums))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = nums[i] + nums[j] + nums[k]\n if x < val_1:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "74", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":43,\"native_task_name\":\"threeSumSmaller:scalar\",\"output_value\":74}]"} {"id": "python/single_target_baseline/43/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 43, "target_native_task_name": "threeSumSmaller:scalar", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 57}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [42, 53, -38, 0, 21, 55, 61, 48, 85, 13].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n (ans, n) = (0, len(nums))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = nums[i] + nums[j] + nums[k]\n if x < val_1:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "22", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":43,\"native_task_name\":\"threeSumSmaller:scalar\",\"output_value\":22}]"} {"id": "python/single_target_baseline/43/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 43, "target_native_task_name": "threeSumSmaller:scalar", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 63}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [59, -26, 58, -94, 91, 63, -77, -51, 36, 75].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n (ans, n) = (0, len(nums))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = nums[i] + nums[j] + nums[k]\n if x < val_1:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "69", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":43,\"native_task_name\":\"threeSumSmaller:scalar\",\"output_value\":69}]"} {"id": "python/single_target_baseline/43/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 43, "target_native_task_name": "threeSumSmaller:scalar", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 45}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-5, 95, -19, 39, 26, 11, 66, 12, -65, 60].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n (ans, n) = (0, len(nums))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = nums[i] + nums[j] + nums[k]\n if x < val_1:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "45", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":43,\"native_task_name\":\"threeSumSmaller:scalar\",\"output_value\":45}]"} {"id": "python/single_target_baseline/43/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 43, "target_native_task_name": "threeSumSmaller:scalar", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -72}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [87, 23, 66, 81, 57, 9, 63, 1, 81, -98].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n (ans, n) = (0, len(nums))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = nums[i] + nums[j] + nums[k]\n if x < val_1:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":43,\"native_task_name\":\"threeSumSmaller:scalar\",\"output_value\":2}]"} {"id": "python/single_target_baseline/43/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 43, "target_native_task_name": "threeSumSmaller:scalar", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -47}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-10, -96, -67, 14, 22, 96, -66, -40, -27, 61].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n (ans, n) = (0, len(nums))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = nums[i] + nums[j] + nums[k]\n if x < val_1:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "53", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":43,\"native_task_name\":\"threeSumSmaller:scalar\",\"output_value\":53}]"} {"id": "python/single_target_baseline/43/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 43, "target_native_task_name": "threeSumSmaller:scalar", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -24}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [61, -76, -19, -8, 99, 81, 86, -97, 5, -91].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n (ans, n) = (0, len(nums))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = nums[i] + nums[j] + nums[k]\n if x < val_1:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "41", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":43,\"native_task_name\":\"threeSumSmaller:scalar\",\"output_value\":41}]"} {"id": "python/single_target_baseline/43/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 43, "target_native_task_name": "threeSumSmaller:scalar", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -16}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-32, 93, 55, 59, -71, 94, 69, -81, -72, -4].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n (ans, n) = (0, len(nums))\n for i in range(n - 2):\n (j, k) = (i + 1, n - 1)\n while j < k:\n x = nums[i] + nums[j] + nums[k]\n if x < val_1:\n ans += k - j\n j += 1\n else:\n k -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "41", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":43,\"native_task_name\":\"threeSumSmaller:scalar\",\"output_value\":41}]"} {"id": "python/single_target_baseline/44/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 44, "target_native_task_name": "maximumLengthOfRanges:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [58, 19, 97, -99, -85, -52, -36, -49, 49, -77]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = [r - l - 1 for (l, r) in zip(left, right)]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,1,10,1,2,3,5,1,7,1]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":44,\"native_task_name\":\"maximumLengthOfRanges:list\",\"output_value\":[2,1,10,1,2,3,5,1,7,1]}]"} {"id": "python/single_target_baseline/44/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 44, "target_native_task_name": "maximumLengthOfRanges:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [60, -83, 62, -61, -43, -89, 86, 93, 88, 96]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = [r - l - 1 for (l, r) in zip(left, right)]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,1,6,1,3,1,7,9,1,10]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":44,\"native_task_name\":\"maximumLengthOfRanges:list\",\"output_value\":[2,1,6,1,3,1,7,9,1,10]}]"} {"id": "python/single_target_baseline/44/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 44, "target_native_task_name": "maximumLengthOfRanges:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-53, -27, 79, -73, 94, -5, -58, 5, -54, 27]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = [r - l - 1 for (l, r) in zip(left, right)]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,2,4,1,10,2,1,4,1,5]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":44,\"native_task_name\":\"maximumLengthOfRanges:list\",\"output_value\":[1,2,4,1,10,2,1,4,1,5]}]"} {"id": "python/single_target_baseline/44/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 44, "target_native_task_name": "maximumLengthOfRanges:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [87, -25, -5, -88, -45, 17, -9, -88, 91, -5]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = [r - l - 1 for (l, r) in zip(left, right)]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[8,1,4,1,2,7,2,1,10,1]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":44,\"native_task_name\":\"maximumLengthOfRanges:list\",\"output_value\":[8,1,4,1,2,7,2,1,10,1]}]"} {"id": "python/single_target_baseline/44/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 44, "target_native_task_name": "maximumLengthOfRanges:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-34, 46, -98, -77, -16, 52, -25, -100, 75, -25]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = [r - l - 1 for (l, r) in zip(left, right)]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,5,1,2,3,8,1,2,10,1]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":44,\"native_task_name\":\"maximumLengthOfRanges:list\",\"output_value\":[1,5,1,2,3,8,1,2,10,1]}]"} {"id": "python/single_target_baseline/44/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 44, "target_native_task_name": "maximumLengthOfRanges:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [38, -79, -45, 43, -67, 79, -75, -62, 36, -66]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = [r - l - 1 for (l, r) in zip(left, right)]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[3,1,2,5,1,10,1,2,4,1]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":44,\"native_task_name\":\"maximumLengthOfRanges:list\",\"output_value\":[3,1,2,5,1,10,1,2,4,1]}]"} {"id": "python/single_target_baseline/44/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 44, "target_native_task_name": "maximumLengthOfRanges:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [39, -31, 52, 99, -79, -60, -24, 27, 49, -44]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = [r - l - 1 for (l, r) in zip(left, right)]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,1,3,10,1,2,3,4,6,1]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":44,\"native_task_name\":\"maximumLengthOfRanges:list\",\"output_value\":[2,1,3,10,1,2,3,4,6,1]}]"} {"id": "python/single_target_baseline/44/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 44, "target_native_task_name": "maximumLengthOfRanges:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [93, -93, 23, 29, -61, -40, 10, 100, 98, -20]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = [r - l - 1 for (l, r) in zip(left, right)]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[8,1,2,7,1,2,4,1,10,1]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":44,\"native_task_name\":\"maximumLengthOfRanges:list\",\"output_value\":[8,1,2,7,1,2,4,1,10,1]}]"} {"id": "python/single_target_baseline/44/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 44, "target_native_task_name": "maximumLengthOfRanges:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [45, -98, 52, 26, -17, 61, 64, -24, 4, 18]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = [r - l - 1 for (l, r) in zip(left, right)]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,1,5,2,1,6,10,1,2,3]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":44,\"native_task_name\":\"maximumLengthOfRanges:list\",\"output_value\":[2,1,5,2,1,6,10,1,2,3]}]"} {"id": "python/single_target_baseline/44/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 44, "target_native_task_name": "maximumLengthOfRanges:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [79, -57, 26, -25, 67, -43, 37, -82, 58, -3]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = [r - l - 1 for (l, r) in zip(left, right)]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[10,1,3,1,9,1,3,1,5,1]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":44,\"native_task_name\":\"maximumLengthOfRanges:list\",\"output_value\":[10,1,3,1,9,1,3,1,5,1]}]"} {"id": "python/single_target_baseline/44/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 44, "target_native_task_name": "maximumLengthOfRanges:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [91, 36, -39, 43, -12, 78, -77, 41, -91, -59]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = [r - l - 1 for (l, r) in zip(left, right)]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[10,2,1,4,1,9,1,4,1,2]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":44,\"native_task_name\":\"maximumLengthOfRanges:list\",\"output_value\":[10,2,1,4,1,9,1,4,1,2]}]"} {"id": "python/single_target_baseline/44/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 44, "target_native_task_name": "maximumLengthOfRanges:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [54, 68, -84, 87, 90, 26, 82, -59, 41, -37]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = [r - l - 1 for (l, r) in zip(left, right)]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,3,1,4,10,1,5,1,3,1]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":44,\"native_task_name\":\"maximumLengthOfRanges:list\",\"output_value\":[1,3,1,4,10,1,5,1,3,1]}]"} {"id": "python/single_target_baseline/44/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 44, "target_native_task_name": "maximumLengthOfRanges:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-20, -7, 70, -89, -27, -7, 11, 25, 10, -87]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = [r - l - 1 for (l, r) in zip(left, right)]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,2,10,1,2,3,4,7,2,1]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":44,\"native_task_name\":\"maximumLengthOfRanges:list\",\"output_value\":[1,2,10,1,2,3,4,7,2,1]}]"} {"id": "python/single_target_baseline/44/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 44, "target_native_task_name": "maximumLengthOfRanges:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [50, -74, 20, -28, -37, -94, 66, -82, -45, 77]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = [r - l - 1 for (l, r) in zip(left, right)]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[6,1,5,3,2,1,9,1,2,10]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":44,\"native_task_name\":\"maximumLengthOfRanges:list\",\"output_value\":[6,1,5,3,2,1,9,1,2,10]}]"} {"id": "python/single_target_baseline/44/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 44, "target_native_task_name": "maximumLengthOfRanges:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [17, -82, 91, 34, 55, 72, -73, 83, -76, 89]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = [r - l - 1 for (l, r) in zip(left, right)]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,1,10,1,2,4,1,6,1,7]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":44,\"native_task_name\":\"maximumLengthOfRanges:list\",\"output_value\":[2,1,10,1,2,4,1,6,1,7]}]"} {"id": "python/single_target_baseline/44/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 44, "target_native_task_name": "maximumLengthOfRanges:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-36, 81, -3, -54, -45, -65, 9, -35, -96, -38]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = [r - l - 1 for (l, r) in zip(left, right)]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,10,4,1,3,1,8,3,1,2]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":44,\"native_task_name\":\"maximumLengthOfRanges:list\",\"output_value\":[1,10,4,1,3,1,8,3,1,2]}]"} {"id": "python/single_target_baseline/45/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 45, "target_native_task_name": "maxSum:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [29, 14, -63, 35, -62, -38, -54, 95, 65, -39]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [93, 80, -53, -86, 50, 61, 17, 30, -96, 32].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n mod = 10 ** 9 + 7\n (m, n) = (len(list_1), len(nums2))\n i = j = 0\n f = g = 0\n while i < m or j < n:\n if i == m:\n g += nums2[j]\n j += 1\n elif j == n:\n f += list_1[i]\n i += 1\n elif list_1[i] < nums2[j]:\n f += list_1[i]\n i += 1\n elif list_1[i] > nums2[j]:\n g += nums2[j]\n j += 1\n else:\n f = g = max(f, g) + list_1[i]\n i += 1\n j += 1\n python_result_1 = max(f, g) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "128", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":45,\"native_task_name\":\"maxSum:list\",\"output_value\":128}]"} {"id": "python/single_target_baseline/45/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 45, "target_native_task_name": "maxSum:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [7, -24, 51, -3, -89, 37, 86, -91, -93, 99]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-83, 51, 89, -82, 86, -36, 47, -96, 6, -23].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n mod = 10 ** 9 + 7\n (m, n) = (len(list_1), len(nums2))\n i = j = 0\n f = g = 0\n while i < m or j < n:\n if i == m:\n g += nums2[j]\n j += 1\n elif j == n:\n f += list_1[i]\n i += 1\n elif list_1[i] < nums2[j]:\n f += list_1[i]\n i += 1\n elif list_1[i] > nums2[j]:\n g += nums2[j]\n j += 1\n else:\n f = g = max(f, g) + list_1[i]\n i += 1\n j += 1\n python_result_1 = max(f, g) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "25", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":45,\"native_task_name\":\"maxSum:list\",\"output_value\":25}]"} {"id": "python/single_target_baseline/45/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 45, "target_native_task_name": "maxSum:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [74, -82, -66, 27, 64, 96, -33, -69, 81, -46]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [15, 59, -51, -39, -18, 31, -46, 65, 76, 52].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n mod = 10 ** 9 + 7\n (m, n) = (len(list_1), len(nums2))\n i = j = 0\n f = g = 0\n while i < m or j < n:\n if i == m:\n g += nums2[j]\n j += 1\n elif j == n:\n f += list_1[i]\n i += 1\n elif list_1[i] < nums2[j]:\n f += list_1[i]\n i += 1\n elif list_1[i] > nums2[j]:\n g += nums2[j]\n j += 1\n else:\n f = g = max(f, g) + list_1[i]\n i += 1\n j += 1\n python_result_1 = max(f, g) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "144", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":45,\"native_task_name\":\"maxSum:list\",\"output_value\":144}]"} {"id": "python/single_target_baseline/45/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 45, "target_native_task_name": "maxSum:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-67, -16, -67, -41, -84, -100, 82, 61, -69, -19]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [9, 17, -96, -69, 73, -97, 57, -41, 85, 69].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n mod = 10 ** 9 + 7\n (m, n) = (len(list_1), len(nums2))\n i = j = 0\n f = g = 0\n while i < m or j < n:\n if i == m:\n g += nums2[j]\n j += 1\n elif j == n:\n f += list_1[i]\n i += 1\n elif list_1[i] < nums2[j]:\n f += list_1[i]\n i += 1\n elif list_1[i] > nums2[j]:\n g += nums2[j]\n j += 1\n else:\n f = g = max(f, g) + list_1[i]\n i += 1\n j += 1\n python_result_1 = max(f, g) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":45,\"native_task_name\":\"maxSum:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/45/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 45, "target_native_task_name": "maxSum:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [45, -6, 83, -38, 26, -30, 8, 92, -66, 36]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-22, -41, 24, 27, -47, -23, 1, -6, 62, -47].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n mod = 10 ** 9 + 7\n (m, n) = (len(list_1), len(nums2))\n i = j = 0\n f = g = 0\n while i < m or j < n:\n if i == m:\n g += nums2[j]\n j += 1\n elif j == n:\n f += list_1[i]\n i += 1\n elif list_1[i] < nums2[j]:\n f += list_1[i]\n i += 1\n elif list_1[i] > nums2[j]:\n g += nums2[j]\n j += 1\n else:\n f = g = max(f, g) + list_1[i]\n i += 1\n j += 1\n python_result_1 = max(f, g) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "150", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":45,\"native_task_name\":\"maxSum:list\",\"output_value\":150}]"} {"id": "python/single_target_baseline/45/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 45, "target_native_task_name": "maxSum:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-91, -25, 50, -59, 26, 36, 96, -7, -96, 77]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [33, -28, -8, 10, 12, 69, -32, -27, -27, -81].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n mod = 10 ** 9 + 7\n (m, n) = (len(list_1), len(nums2))\n i = j = 0\n f = g = 0\n while i < m or j < n:\n if i == m:\n g += nums2[j]\n j += 1\n elif j == n:\n f += list_1[i]\n i += 1\n elif list_1[i] < nums2[j]:\n f += list_1[i]\n i += 1\n elif list_1[i] > nums2[j]:\n g += nums2[j]\n j += 1\n else:\n f = g = max(f, g) + list_1[i]\n i += 1\n j += 1\n python_result_1 = max(f, g) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":45,\"native_task_name\":\"maxSum:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/45/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 45, "target_native_task_name": "maxSum:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-99, -78, 44, -25, 61, -57, 69, 57, 92, -16]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [99, -13, 61, -77, -51, 26, -65, 47, 50, 77].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n mod = 10 ** 9 + 7\n (m, n) = (len(list_1), len(nums2))\n i = j = 0\n f = g = 0\n while i < m or j < n:\n if i == m:\n g += nums2[j]\n j += 1\n elif j == n:\n f += list_1[i]\n i += 1\n elif list_1[i] < nums2[j]:\n f += list_1[i]\n i += 1\n elif list_1[i] > nums2[j]:\n g += nums2[j]\n j += 1\n else:\n f = g = max(f, g) + list_1[i]\n i += 1\n j += 1\n python_result_1 = max(f, g) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "154", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":45,\"native_task_name\":\"maxSum:list\",\"output_value\":154}]"} {"id": "python/single_target_baseline/45/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 45, "target_native_task_name": "maxSum:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [78, 72, 89, 72, 67, -40, -94, 82, -9, 36]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-55, 97, 75, -80, -30, -66, -6, -94, -83, -42].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n mod = 10 ** 9 + 7\n (m, n) = (len(list_1), len(nums2))\n i = j = 0\n f = g = 0\n while i < m or j < n:\n if i == m:\n g += nums2[j]\n j += 1\n elif j == n:\n f += list_1[i]\n i += 1\n elif list_1[i] < nums2[j]:\n f += list_1[i]\n i += 1\n elif list_1[i] > nums2[j]:\n g += nums2[j]\n j += 1\n else:\n f = g = max(f, g) + list_1[i]\n i += 1\n j += 1\n python_result_1 = max(f, g) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "353", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":45,\"native_task_name\":\"maxSum:list\",\"output_value\":353}]"} {"id": "python/single_target_baseline/45/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 45, "target_native_task_name": "maxSum:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [93, 54, -57, -77, 89, 4, -97, -20, -15, 15]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-76, 96, 56, -87, -14, 74, 35, 78, 49, -82].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n mod = 10 ** 9 + 7\n (m, n) = (len(list_1), len(nums2))\n i = j = 0\n f = g = 0\n while i < m or j < n:\n if i == m:\n g += nums2[j]\n j += 1\n elif j == n:\n f += list_1[i]\n i += 1\n elif list_1[i] < nums2[j]:\n f += list_1[i]\n i += 1\n elif list_1[i] > nums2[j]:\n g += nums2[j]\n j += 1\n else:\n f = g = max(f, g) + list_1[i]\n i += 1\n j += 1\n python_result_1 = max(f, g) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "129", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":45,\"native_task_name\":\"maxSum:list\",\"output_value\":129}]"} {"id": "python/single_target_baseline/45/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 45, "target_native_task_name": "maxSum:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-87, -75, -38, 54, 83, 93, -45, 96, 64, -9]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-99, -3, 81, 48, -11, 85, -9, -64, -65, 98].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n mod = 10 ** 9 + 7\n (m, n) = (len(list_1), len(nums2))\n i = j = 0\n f = g = 0\n while i < m or j < n:\n if i == m:\n g += nums2[j]\n j += 1\n elif j == n:\n f += list_1[i]\n i += 1\n elif list_1[i] < nums2[j]:\n f += list_1[i]\n i += 1\n elif list_1[i] > nums2[j]:\n g += nums2[j]\n j += 1\n else:\n f = g = max(f, g) + list_1[i]\n i += 1\n j += 1\n python_result_1 = max(f, g) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "136", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":45,\"native_task_name\":\"maxSum:list\",\"output_value\":136}]"} {"id": "python/single_target_baseline/45/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 45, "target_native_task_name": "maxSum:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [34, 19, -95, -42, 46, -52, -76, -95, 98, 38]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [42, 5, 38, -84, -91, -15, 37, -96, -9, 38].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n mod = 10 ** 9 + 7\n (m, n) = (len(list_1), len(nums2))\n i = j = 0\n f = g = 0\n while i < m or j < n:\n if i == m:\n g += nums2[j]\n j += 1\n elif j == n:\n f += list_1[i]\n i += 1\n elif list_1[i] < nums2[j]:\n f += list_1[i]\n i += 1\n elif list_1[i] > nums2[j]:\n g += nums2[j]\n j += 1\n else:\n f = g = max(f, g) + list_1[i]\n i += 1\n j += 1\n python_result_1 = max(f, g) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "999999882", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":45,\"native_task_name\":\"maxSum:list\",\"output_value\":999999882}]"} {"id": "python/single_target_baseline/45/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 45, "target_native_task_name": "maxSum:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [53, 22, -6, 99, 47, 46, 50, 30, 98, -43]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [5, -56, 14, -21, -66, 48, -69, -87, 88, -55].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n mod = 10 ** 9 + 7\n (m, n) = (len(list_1), len(nums2))\n i = j = 0\n f = g = 0\n while i < m or j < n:\n if i == m:\n g += nums2[j]\n j += 1\n elif j == n:\n f += list_1[i]\n i += 1\n elif list_1[i] < nums2[j]:\n f += list_1[i]\n i += 1\n elif list_1[i] > nums2[j]:\n g += nums2[j]\n j += 1\n else:\n f = g = max(f, g) + list_1[i]\n i += 1\n j += 1\n python_result_1 = max(f, g) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "396", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":45,\"native_task_name\":\"maxSum:list\",\"output_value\":396}]"} {"id": "python/single_target_baseline/45/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 45, "target_native_task_name": "maxSum:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [69, -97, -13, -18, 53, 81, -39, -66, 97, 57]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-76, 22, 37, 99, -85, -5, -13, 87, -29, -63].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n mod = 10 ** 9 + 7\n (m, n) = (len(list_1), len(nums2))\n i = j = 0\n f = g = 0\n while i < m or j < n:\n if i == m:\n g += nums2[j]\n j += 1\n elif j == n:\n f += list_1[i]\n i += 1\n elif list_1[i] < nums2[j]:\n f += list_1[i]\n i += 1\n elif list_1[i] > nums2[j]:\n g += nums2[j]\n j += 1\n else:\n f = g = max(f, g) + list_1[i]\n i += 1\n j += 1\n python_result_1 = max(f, g) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "124", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":45,\"native_task_name\":\"maxSum:list\",\"output_value\":124}]"} {"id": "python/single_target_baseline/45/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 45, "target_native_task_name": "maxSum:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [30, -40, 42, -88, 71, -49, 6, -83, -7, -79]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [11, -81, -1, -80, -53, 13, 52, -92, 86, 16].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n mod = 10 ** 9 + 7\n (m, n) = (len(list_1), len(nums2))\n i = j = 0\n f = g = 0\n while i < m or j < n:\n if i == m:\n g += nums2[j]\n j += 1\n elif j == n:\n f += list_1[i]\n i += 1\n elif list_1[i] < nums2[j]:\n f += list_1[i]\n i += 1\n elif list_1[i] > nums2[j]:\n g += nums2[j]\n j += 1\n else:\n f = g = max(f, g) + list_1[i]\n i += 1\n j += 1\n python_result_1 = max(f, g) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "999999878", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":45,\"native_task_name\":\"maxSum:list\",\"output_value\":999999878}]"} {"id": "python/single_target_baseline/45/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 45, "target_native_task_name": "maxSum:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-66, -22, 31, 5, -46, 83, -21, -3, -5, 3]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [91, 80, -41, 82, 87, -27, -14, -31, -74, -54].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n mod = 10 ** 9 + 7\n (m, n) = (len(list_1), len(nums2))\n i = j = 0\n f = g = 0\n while i < m or j < n:\n if i == m:\n g += nums2[j]\n j += 1\n elif j == n:\n f += list_1[i]\n i += 1\n elif list_1[i] < nums2[j]:\n f += list_1[i]\n i += 1\n elif list_1[i] > nums2[j]:\n g += nums2[j]\n j += 1\n else:\n f = g = max(f, g) + list_1[i]\n i += 1\n j += 1\n python_result_1 = max(f, g) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "99", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":45,\"native_task_name\":\"maxSum:list\",\"output_value\":99}]"} {"id": "python/single_target_baseline/45/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 45, "target_native_task_name": "maxSum:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-7, -9, -84, 3, -6, 14, -23, -90, -17, -51]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [81, -39, 38, 32, -74, -73, 16, 34, -5, -49].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n mod = 10 ** 9 + 7\n (m, n) = (len(list_1), len(nums2))\n i = j = 0\n f = g = 0\n while i < m or j < n:\n if i == m:\n g += nums2[j]\n j += 1\n elif j == n:\n f += list_1[i]\n i += 1\n elif list_1[i] < nums2[j]:\n f += list_1[i]\n i += 1\n elif list_1[i] > nums2[j]:\n g += nums2[j]\n j += 1\n else:\n f = g = max(f, g) + list_1[i]\n i += 1\n j += 1\n python_result_1 = max(f, g) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "999999968", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":45,\"native_task_name\":\"maxSum:list\",\"output_value\":999999968}]"} {"id": "python/single_target_baseline/46/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 46, "target_native_task_name": "findContentChildren:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-52, 59, 73, 13, -6, 83, -78, -40, -50, -38]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_s_static = [13, -99, 59, -3, -78, 19, -66, -71, -54, 62].\nTrace the execution of task_1 with inputs s = task_1_s_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], s: List[int]) -> int:\n list_1.sort()\n s.sort()\n j = 0\n for (i, x) in enumerate(list_1):\n while j < len(s) and s[j] < list_1[i]:\n j += 1\n if j >= len(s):\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":46,\"native_task_name\":\"findContentChildren:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/46/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 46, "target_native_task_name": "findContentChildren:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-37, -2, 68, -66, 80, 86, 12, 18, -28, -12]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_s_static = [25, 0, -51, 24, 78, 75, -60, 94, 20, 66].\nTrace the execution of task_1 with inputs s = task_1_s_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], s: List[int]) -> int:\n list_1.sort()\n s.sort()\n j = 0\n for (i, x) in enumerate(list_1):\n while j < len(s) and s[j] < list_1[i]:\n j += 1\n if j >= len(s):\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":46,\"native_task_name\":\"findContentChildren:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/46/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 46, "target_native_task_name": "findContentChildren:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [24, 28, -47, 40, 99, 1, 32, 15, -73, 11]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_s_static = [2, -3, 46, -36, -86, -54, 45, 68, 41, -42].\nTrace the execution of task_1 with inputs s = task_1_s_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], s: List[int]) -> int:\n list_1.sort()\n s.sort()\n j = 0\n for (i, x) in enumerate(list_1):\n while j < len(s) and s[j] < list_1[i]:\n j += 1\n if j >= len(s):\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":46,\"native_task_name\":\"findContentChildren:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/46/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 46, "target_native_task_name": "findContentChildren:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-54, -17, 76, 10, -99, 23, 98, -11, -53, -57]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_s_static = [-66, 66, 47, 81, -38, -68, -33, 91, -3, -93].\nTrace the execution of task_1 with inputs s = task_1_s_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], s: List[int]) -> int:\n list_1.sort()\n s.sort()\n j = 0\n for (i, x) in enumerate(list_1):\n while j < len(s) and s[j] < list_1[i]:\n j += 1\n if j >= len(s):\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":46,\"native_task_name\":\"findContentChildren:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/46/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 46, "target_native_task_name": "findContentChildren:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-21, -98, -8, -44, -71, -76, 62, 34, -100, -15]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_s_static = [-78, -68, 30, 19, 34, 13, 57, 87, -62, -17].\nTrace the execution of task_1 with inputs s = task_1_s_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], s: List[int]) -> int:\n list_1.sort()\n s.sort()\n j = 0\n for (i, x) in enumerate(list_1):\n while j < len(s) and s[j] < list_1[i]:\n j += 1\n if j >= len(s):\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":46,\"native_task_name\":\"findContentChildren:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/46/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 46, "target_native_task_name": "findContentChildren:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [88, -42, -20, -79, -10, 11, 67, 45, -18, 86]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_s_static = [58, -83, 62, 39, -5, -34, 87, 26, -87, 45].\nTrace the execution of task_1 with inputs s = task_1_s_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], s: List[int]) -> int:\n list_1.sort()\n s.sort()\n j = 0\n for (i, x) in enumerate(list_1):\n while j < len(s) and s[j] < list_1[i]:\n j += 1\n if j >= len(s):\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":46,\"native_task_name\":\"findContentChildren:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/46/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 46, "target_native_task_name": "findContentChildren:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [86, 0, -96, 32, -75, 99, -32, -81, -21, 64]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_s_static = [-32, -47, 24, 35, 23, -62, -65, 58, 73, -19].\nTrace the execution of task_1 with inputs s = task_1_s_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], s: List[int]) -> int:\n list_1.sort()\n s.sort()\n j = 0\n for (i, x) in enumerate(list_1):\n while j < len(s) and s[j] < list_1[i]:\n j += 1\n if j >= len(s):\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":46,\"native_task_name\":\"findContentChildren:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/46/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 46, "target_native_task_name": "findContentChildren:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-18, -50, -9, 2, 84, 10, 100, -34, 83, -91]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_s_static = [13, -58, -41, 38, 12, 73, 59, -44, 96, 61].\nTrace the execution of task_1 with inputs s = task_1_s_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], s: List[int]) -> int:\n list_1.sort()\n s.sort()\n j = 0\n for (i, x) in enumerate(list_1):\n while j < len(s) and s[j] < list_1[i]:\n j += 1\n if j >= len(s):\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":46,\"native_task_name\":\"findContentChildren:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/46/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 46, "target_native_task_name": "findContentChildren:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-99, -51, 12, 86, 31, -100, 14, 90, 76, -94]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_s_static = [78, 31, 13, -76, -24, 46, -52, -67, -46, 27].\nTrace the execution of task_1 with inputs s = task_1_s_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], s: List[int]) -> int:\n list_1.sort()\n s.sort()\n j = 0\n for (i, x) in enumerate(list_1):\n while j < len(s) and s[j] < list_1[i]:\n j += 1\n if j >= len(s):\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":46,\"native_task_name\":\"findContentChildren:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/46/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 46, "target_native_task_name": "findContentChildren:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-34, -78, 10, 9, -6, -68, -11, 79, 29, -18]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_s_static = [-61, 14, -94, 49, 77, 23, 58, -28, 92, 56].\nTrace the execution of task_1 with inputs s = task_1_s_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], s: List[int]) -> int:\n list_1.sort()\n s.sort()\n j = 0\n for (i, x) in enumerate(list_1):\n while j < len(s) and s[j] < list_1[i]:\n j += 1\n if j >= len(s):\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":46,\"native_task_name\":\"findContentChildren:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/46/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 46, "target_native_task_name": "findContentChildren:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-42, -37, -27, -87, 73, -23, -21, 76, 50, -43]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_s_static = [-84, 63, -62, -47, 32, 51, -16, 84, 94, 43].\nTrace the execution of task_1 with inputs s = task_1_s_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], s: List[int]) -> int:\n list_1.sort()\n s.sort()\n j = 0\n for (i, x) in enumerate(list_1):\n while j < len(s) and s[j] < list_1[i]:\n j += 1\n if j >= len(s):\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":46,\"native_task_name\":\"findContentChildren:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/46/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 46, "target_native_task_name": "findContentChildren:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [69, -2, 86, 62, -6, 12, 13, 69, 57, -89]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_s_static = [56, 51, -44, -100, 76, 21, -7, -76, 49, 51].\nTrace the execution of task_1 with inputs s = task_1_s_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], s: List[int]) -> int:\n list_1.sort()\n s.sort()\n j = 0\n for (i, x) in enumerate(list_1):\n while j < len(s) and s[j] < list_1[i]:\n j += 1\n if j >= len(s):\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":46,\"native_task_name\":\"findContentChildren:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/46/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 46, "target_native_task_name": "findContentChildren:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [58, -32, -4, -68, -33, 37, 41, 73, 85, 78]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_s_static = [71, -50, -69, -25, 0, 56, -49, -62, 45, 8].\nTrace the execution of task_1 with inputs s = task_1_s_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], s: List[int]) -> int:\n list_1.sort()\n s.sort()\n j = 0\n for (i, x) in enumerate(list_1):\n while j < len(s) and s[j] < list_1[i]:\n j += 1\n if j >= len(s):\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":46,\"native_task_name\":\"findContentChildren:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/46/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 46, "target_native_task_name": "findContentChildren:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [6, -53, 88, -39, 66, -16, -100, -12, -76, 76]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_s_static = [-37, 46, -16, -59, -73, 93, -62, 53, -87, -40].\nTrace the execution of task_1 with inputs s = task_1_s_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], s: List[int]) -> int:\n list_1.sort()\n s.sort()\n j = 0\n for (i, x) in enumerate(list_1):\n while j < len(s) and s[j] < list_1[i]:\n j += 1\n if j >= len(s):\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":46,\"native_task_name\":\"findContentChildren:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/46/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 46, "target_native_task_name": "findContentChildren:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [20, -39, -70, 49, -50, -26, 60, 7, -79, 77]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_s_static = [-22, 45, 11, -85, 4, 5, 68, 12, -49, 99].\nTrace the execution of task_1 with inputs s = task_1_s_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], s: List[int]) -> int:\n list_1.sort()\n s.sort()\n j = 0\n for (i, x) in enumerate(list_1):\n while j < len(s) and s[j] < list_1[i]:\n j += 1\n if j >= len(s):\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":46,\"native_task_name\":\"findContentChildren:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/46/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 46, "target_native_task_name": "findContentChildren:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [1, -9, 73, 0, -85, 71, -78, -58, -38, -8]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_s_static = [35, 47, -28, 94, -55, -88, 36, -53, -40, -97].\nTrace the execution of task_1 with inputs s = task_1_s_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], s: List[int]) -> int:\n list_1.sort()\n s.sort()\n j = 0\n for (i, x) in enumerate(list_1):\n while j < len(s) and s[j] < list_1[i]:\n j += 1\n if j >= len(s):\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":46,\"native_task_name\":\"findContentChildren:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/47/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 47, "target_native_task_name": "getWinner:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-78, -100, -88, -93, 5, -65, -13, 52, 54, 93]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -2.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = list_1[0]\n cnt = 0\n for x in list_1[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "93", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":47,\"native_task_name\":\"getWinner:list\",\"output_value\":93}]"} {"id": "python/single_target_baseline/47/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 47, "target_native_task_name": "getWinner:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-40, -91, -41, 68, -86, -24, -83, -65, 12, 36]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 14.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = list_1[0]\n cnt = 0\n for x in list_1[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "68", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":47,\"native_task_name\":\"getWinner:list\",\"output_value\":68}]"} {"id": "python/single_target_baseline/47/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 47, "target_native_task_name": "getWinner:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-48, 98, 42, -14, 5, -85, 36, 80, -57, -75]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 79.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = list_1[0]\n cnt = 0\n for x in list_1[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "98", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":47,\"native_task_name\":\"getWinner:list\",\"output_value\":98}]"} {"id": "python/single_target_baseline/47/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 47, "target_native_task_name": "getWinner:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-82, 82, -10, 10, 33, 25, 87, -41, -23, 26]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 47.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = list_1[0]\n cnt = 0\n for x in list_1[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "87", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":47,\"native_task_name\":\"getWinner:list\",\"output_value\":87}]"} {"id": "python/single_target_baseline/47/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 47, "target_native_task_name": "getWinner:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-89, 100, 92, 43, -72, 40, 16, 44, 15, 58]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -14.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = list_1[0]\n cnt = 0\n for x in list_1[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "92", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":47,\"native_task_name\":\"getWinner:list\",\"output_value\":92}]"} {"id": "python/single_target_baseline/47/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 47, "target_native_task_name": "getWinner:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [73, 18, 82, 95, -96, -32, 85, 86, -30, -60]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -10.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = list_1[0]\n cnt = 0\n for x in list_1[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "95", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":47,\"native_task_name\":\"getWinner:list\",\"output_value\":95}]"} {"id": "python/single_target_baseline/47/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 47, "target_native_task_name": "getWinner:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-30, -31, 91, 77, -74, -72, -12, 85, 56, -72]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -18.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = list_1[0]\n cnt = 0\n for x in list_1[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "91", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":47,\"native_task_name\":\"getWinner:list\",\"output_value\":91}]"} {"id": "python/single_target_baseline/47/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 47, "target_native_task_name": "getWinner:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-42, 74, 96, 84, 29, -8, 61, -7, 86, 96]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -95.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = list_1[0]\n cnt = 0\n for x in list_1[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "96", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":47,\"native_task_name\":\"getWinner:list\",\"output_value\":96}]"} {"id": "python/single_target_baseline/47/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 47, "target_native_task_name": "getWinner:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-82, 63, -67, 18, -63, 22, -69, 93, 84, 4]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -73.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = list_1[0]\n cnt = 0\n for x in list_1[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "93", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":47,\"native_task_name\":\"getWinner:list\",\"output_value\":93}]"} {"id": "python/single_target_baseline/47/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 47, "target_native_task_name": "getWinner:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [31, -18, 36, -77, -21, 61, -59, -69, -81, -56]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -24.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = list_1[0]\n cnt = 0\n for x in list_1[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "61", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":47,\"native_task_name\":\"getWinner:list\",\"output_value\":61}]"} {"id": "python/single_target_baseline/47/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 47, "target_native_task_name": "getWinner:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-99, -21, -41, 30, -16, 23, 74, -83, 76, 47]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 2.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = list_1[0]\n cnt = 0\n for x in list_1[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-21", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":47,\"native_task_name\":\"getWinner:list\",\"output_value\":-21}]"} {"id": "python/single_target_baseline/47/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 47, "target_native_task_name": "getWinner:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-72, 91, 50, 89, 47, 42, 36, 6, 76, -25]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -74.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = list_1[0]\n cnt = 0\n for x in list_1[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "91", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":47,\"native_task_name\":\"getWinner:list\",\"output_value\":91}]"} {"id": "python/single_target_baseline/47/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 47, "target_native_task_name": "getWinner:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [24, 87, -24, 61, -92, 28, -13, -97, -11, 98]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -61.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = list_1[0]\n cnt = 0\n for x in list_1[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "98", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":47,\"native_task_name\":\"getWinner:list\",\"output_value\":98}]"} {"id": "python/single_target_baseline/47/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 47, "target_native_task_name": "getWinner:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-12, 82, 78, 9, 45, -10, -85, -61, 61, 80]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 24.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = list_1[0]\n cnt = 0\n for x in list_1[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "82", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":47,\"native_task_name\":\"getWinner:list\",\"output_value\":82}]"} {"id": "python/single_target_baseline/47/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 47, "target_native_task_name": "getWinner:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [60, 18, 89, 75, 51, 19, -20, -33, -57, -100]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 55.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = list_1[0]\n cnt = 0\n for x in list_1[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "89", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":47,\"native_task_name\":\"getWinner:list\",\"output_value\":89}]"} {"id": "python/single_target_baseline/47/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 47, "target_native_task_name": "getWinner:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [0, 17, 12, -62, -8, -48, -22, -84, 94, 89]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -68.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = list_1[0]\n cnt = 0\n for x in list_1[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == k:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "94", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":47,\"native_task_name\":\"getWinner:list\",\"output_value\":94}]"} {"id": "python/single_target_baseline/48/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 48, "target_native_task_name": "getWinner:scalar", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -68}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-77, -43, 65, -95, -77, 30, 41, -51, 95, 4].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n mx = arr[0]\n cnt = 0\n for x in arr[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "95", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":48,\"native_task_name\":\"getWinner:scalar\",\"output_value\":95}]"} {"id": "python/single_target_baseline/48/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 48, "target_native_task_name": "getWinner:scalar", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -6}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [11, 71, -81, -95, -30, -6, -4, 52, 53, 5].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n mx = arr[0]\n cnt = 0\n for x in arr[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "71", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":48,\"native_task_name\":\"getWinner:scalar\",\"output_value\":71}]"} {"id": "python/single_target_baseline/48/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 48, "target_native_task_name": "getWinner:scalar", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 95}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-42, -65, -4, -3, -42, -33, 38, 57, 69, -31].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n mx = arr[0]\n cnt = 0\n for x in arr[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "69", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":48,\"native_task_name\":\"getWinner:scalar\",\"output_value\":69}]"} {"id": "python/single_target_baseline/48/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 48, "target_native_task_name": "getWinner:scalar", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 9}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-13, -21, -13, 72, -75, -31, 23, 74, 98, -89].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n mx = arr[0]\n cnt = 0\n for x in arr[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "98", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":48,\"native_task_name\":\"getWinner:scalar\",\"output_value\":98}]"} {"id": "python/single_target_baseline/48/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 48, "target_native_task_name": "getWinner:scalar", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -45}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [57, -47, -81, 60, 4, -46, 49, 22, -8, 45].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n mx = arr[0]\n cnt = 0\n for x in arr[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "60", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":48,\"native_task_name\":\"getWinner:scalar\",\"output_value\":60}]"} {"id": "python/single_target_baseline/48/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 48, "target_native_task_name": "getWinner:scalar", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 24}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-20, -60, 99, 50, 76, 98, 47, 36, 28, 83].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n mx = arr[0]\n cnt = 0\n for x in arr[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "99", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":48,\"native_task_name\":\"getWinner:scalar\",\"output_value\":99}]"} {"id": "python/single_target_baseline/48/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 48, "target_native_task_name": "getWinner:scalar", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 18}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [32, 49, -68, -9, 89, -17, 67, 85, -87, -45].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n mx = arr[0]\n cnt = 0\n for x in arr[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "89", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":48,\"native_task_name\":\"getWinner:scalar\",\"output_value\":89}]"} {"id": "python/single_target_baseline/48/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 48, "target_native_task_name": "getWinner:scalar", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 31}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [47, -96, 86, 65, 74, 83, -76, -81, -93, -5].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n mx = arr[0]\n cnt = 0\n for x in arr[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "86", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":48,\"native_task_name\":\"getWinner:scalar\",\"output_value\":86}]"} {"id": "python/single_target_baseline/48/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 48, "target_native_task_name": "getWinner:scalar", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 39}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [94, 7, -17, 37, 37, 83, 10, -37, -71, -62].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n mx = arr[0]\n cnt = 0\n for x in arr[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "94", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":48,\"native_task_name\":\"getWinner:scalar\",\"output_value\":94}]"} {"id": "python/single_target_baseline/48/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 48, "target_native_task_name": "getWinner:scalar", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 45}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [31, 79, -72, -76, 56, -14, -29, 51, 88, -74].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n mx = arr[0]\n cnt = 0\n for x in arr[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "88", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":48,\"native_task_name\":\"getWinner:scalar\",\"output_value\":88}]"} {"id": "python/single_target_baseline/48/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 48, "target_native_task_name": "getWinner:scalar", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 15}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [68, 78, -28, -40, 6, -40, -44, -8, 91, 67].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n mx = arr[0]\n cnt = 0\n for x in arr[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "91", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":48,\"native_task_name\":\"getWinner:scalar\",\"output_value\":91}]"} {"id": "python/single_target_baseline/48/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 48, "target_native_task_name": "getWinner:scalar", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 98}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [31, 44, -68, 65, 32, 96, -53, 78, -12, 40].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n mx = arr[0]\n cnt = 0\n for x in arr[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "96", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":48,\"native_task_name\":\"getWinner:scalar\",\"output_value\":96}]"} {"id": "python/single_target_baseline/48/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 48, "target_native_task_name": "getWinner:scalar", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 37}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [65, 78, 39, 76, -71, -97, 95, -62, 96, 39].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n mx = arr[0]\n cnt = 0\n for x in arr[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "96", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":48,\"native_task_name\":\"getWinner:scalar\",\"output_value\":96}]"} {"id": "python/single_target_baseline/48/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 48, "target_native_task_name": "getWinner:scalar", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 23}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-51, 67, -84, 85, 33, 84, 44, -61, 48, -20].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n mx = arr[0]\n cnt = 0\n for x in arr[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "85", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":48,\"native_task_name\":\"getWinner:scalar\",\"output_value\":85}]"} {"id": "python/single_target_baseline/48/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 48, "target_native_task_name": "getWinner:scalar", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 25}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-98, 64, 37, -10, -62, -64, 74, -85, -96, -63].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n mx = arr[0]\n cnt = 0\n for x in arr[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "74", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":48,\"native_task_name\":\"getWinner:scalar\",\"output_value\":74}]"} {"id": "python/single_target_baseline/48/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 48, "target_native_task_name": "getWinner:scalar", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 97}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-22, 64, 58, 43, -28, 79, 71, -25, -89, -69].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n mx = arr[0]\n cnt = 0\n for x in arr[1:]:\n if mx < x:\n mx = x\n cnt = 1\n else:\n cnt += 1\n if cnt == val_1:\n break\n python_result_1 = mx\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "79", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":48,\"native_task_name\":\"getWinner:scalar\",\"output_value\":79}]"} {"id": "python/single_target_baseline/49/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 49, "target_native_task_name": "canSeePersonsCount:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [92, 64, -37, 73, -66, -85, -6, -62, -76, -67]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [0] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and stk[-1] < list_1[i]:\n ans[i] += 1\n stk.pop()\n if stk:\n ans[i] += 1\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,2,1,2,2,1,1,2,1,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":49,\"native_task_name\":\"canSeePersonsCount:list\",\"output_value\":[2,2,1,2,2,1,1,2,1,0]}]"} {"id": "python/single_target_baseline/49/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 49, "target_native_task_name": "canSeePersonsCount:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [50, 9, -81, 86, -77, -44, 51, 25, 79, -80]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [0] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and stk[-1] < list_1[i]:\n ans[i] += 1\n stk.pop()\n if stk:\n ans[i] += 1\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,2,1,4,1,1,2,1,1,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":49,\"native_task_name\":\"canSeePersonsCount:list\",\"output_value\":[2,2,1,4,1,1,2,1,1,0]}]"} {"id": "python/single_target_baseline/49/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 49, "target_native_task_name": "canSeePersonsCount:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [44, -38, -75, 67, -17, -100, -76, 25, -97, 77]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [0] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and stk[-1] < list_1[i]:\n ans[i] += 1\n stk.pop()\n if stk:\n ans[i] += 1\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,2,1,4,1,2,1,2,1,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":49,\"native_task_name\":\"canSeePersonsCount:list\",\"output_value\":[2,2,1,4,1,2,1,2,1,0]}]"} {"id": "python/single_target_baseline/49/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 49, "target_native_task_name": "canSeePersonsCount:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [31, 89, 90, 7, -31, 72, 68, 13, 91, 40]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [0] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and stk[-1] < list_1[i]:\n ans[i] += 1\n stk.pop()\n if stk:\n ans[i] += 1\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,1,3,2,1,2,2,1,1,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":49,\"native_task_name\":\"canSeePersonsCount:list\",\"output_value\":[1,1,3,2,1,2,2,1,1,0]}]"} {"id": "python/single_target_baseline/49/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 49, "target_native_task_name": "canSeePersonsCount:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-69, -38, -27, -61, -80, 74, 2, -14, -50, 32]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [0] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and stk[-1] < list_1[i]:\n ans[i] += 1\n stk.pop()\n if stk:\n ans[i] += 1\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,1,2,2,1,2,2,2,1,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":49,\"native_task_name\":\"canSeePersonsCount:list\",\"output_value\":[1,1,2,2,1,2,2,2,1,0]}]"} {"id": "python/single_target_baseline/49/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 49, "target_native_task_name": "canSeePersonsCount:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-56, 17, -20, -67, -52, -75, -93, 7, 70, -1]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [0] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and stk[-1] < list_1[i]:\n ans[i] += 1\n stk.pop()\n if stk:\n ans[i] += 1\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,3,3,1,2,2,1,1,1,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":49,\"native_task_name\":\"canSeePersonsCount:list\",\"output_value\":[1,3,3,1,2,2,1,1,1,0]}]"} {"id": "python/single_target_baseline/49/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 49, "target_native_task_name": "canSeePersonsCount:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [62, 32, -56, -92, 3, -33, 12, 79, 40, -17]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [0] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and stk[-1] < list_1[i]:\n ans[i] += 1\n stk.pop()\n if stk:\n ans[i] += 1\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,4,2,1,2,1,1,1,1,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":49,\"native_task_name\":\"canSeePersonsCount:list\",\"output_value\":[2,4,2,1,2,1,1,1,1,0]}]"} {"id": "python/single_target_baseline/49/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 49, "target_native_task_name": "canSeePersonsCount:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [74, -54, 31, -65, 52, -86, -17, -71, -12, -13]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [0] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and stk[-1] < list_1[i]:\n ans[i] += 1\n stk.pop()\n if stk:\n ans[i] += 1\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[3,1,2,1,3,1,2,1,1,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":49,\"native_task_name\":\"canSeePersonsCount:list\",\"output_value\":[3,1,2,1,3,1,2,1,1,0]}]"} {"id": "python/single_target_baseline/49/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 49, "target_native_task_name": "canSeePersonsCount:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [87, -92, -40, -20, -42, 51, -40, -74, -7, 69]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [0] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and stk[-1] < list_1[i]:\n ans[i] += 1\n stk.pop()\n if stk:\n ans[i] += 1\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[5,1,1,2,1,3,2,1,1,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":49,\"native_task_name\":\"canSeePersonsCount:list\",\"output_value\":[5,1,1,2,1,3,2,1,1,0]}]"} {"id": "python/single_target_baseline/49/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 49, "target_native_task_name": "canSeePersonsCount:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [54, -6, 96, -98, 21, -78, 32, 74, 29, 94]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [0] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and stk[-1] < list_1[i]:\n ans[i] += 1\n stk.pop()\n if stk:\n ans[i] += 1\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,1,5,1,2,1,1,2,1,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":49,\"native_task_name\":\"canSeePersonsCount:list\",\"output_value\":[2,1,5,1,2,1,1,2,1,0]}]"} {"id": "python/single_target_baseline/49/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 49, "target_native_task_name": "canSeePersonsCount:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [45, -75, -92, 2, -10, 6, -41, 99, -74, -14]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [0] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and stk[-1] < list_1[i]:\n ans[i] += 1\n stk.pop()\n if stk:\n ans[i] += 1\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[4,2,1,2,1,2,1,2,1,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":49,\"native_task_name\":\"canSeePersonsCount:list\",\"output_value\":[4,2,1,2,1,2,1,2,1,0]}]"} {"id": "python/single_target_baseline/49/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 49, "target_native_task_name": "canSeePersonsCount:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-69, 99, 53, -57, -54, 6, -8, -20, 79, 32]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [0] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and stk[-1] < list_1[i]:\n ans[i] += 1\n stk.pop()\n if stk:\n ans[i] += 1\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,2,4,1,1,2,2,1,1,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":49,\"native_task_name\":\"canSeePersonsCount:list\",\"output_value\":[1,2,4,1,1,2,2,1,1,0]}]"} {"id": "python/single_target_baseline/49/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 49, "target_native_task_name": "canSeePersonsCount:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [84, 57, 39, -69, -3, 23, 15, 47, -24, 53]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [0] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and stk[-1] < list_1[i]:\n ans[i] += 1\n stk.pop()\n if stk:\n ans[i] += 1\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,3,4,1,1,2,1,2,1,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":49,\"native_task_name\":\"canSeePersonsCount:list\",\"output_value\":[1,3,4,1,1,2,1,2,1,0]}]"} {"id": "python/single_target_baseline/49/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 49, "target_native_task_name": "canSeePersonsCount:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [62, 12, -18, -98, 93, 7, 89, 50, 8, -21]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [0] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and stk[-1] < list_1[i]:\n ans[i] += 1\n stk.pop()\n if stk:\n ans[i] += 1\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,2,2,1,2,1,1,1,1,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":49,\"native_task_name\":\"canSeePersonsCount:list\",\"output_value\":[2,2,2,1,2,1,1,1,1,0]}]"} {"id": "python/single_target_baseline/49/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 49, "target_native_task_name": "canSeePersonsCount:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-86, 34, 84, 6, -12, -59, -24, -85, 20, 60]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [0] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and stk[-1] < list_1[i]:\n ans[i] += 1\n stk.pop()\n if stk:\n ans[i] += 1\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,1,3,2,3,1,2,1,1,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":49,\"native_task_name\":\"canSeePersonsCount:list\",\"output_value\":[1,1,3,2,3,1,2,1,1,0]}]"} {"id": "python/single_target_baseline/49/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 49, "target_native_task_name": "canSeePersonsCount:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-76, 23, -13, 32, 81, 50, 2, -56, 57, -55]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [0] * n\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and stk[-1] < list_1[i]:\n ans[i] += 1\n stk.pop()\n if stk:\n ans[i] += 1\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,2,1,1,2,2,2,1,1,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":49,\"native_task_name\":\"canSeePersonsCount:list\",\"output_value\":[1,2,1,1,2,2,2,1,1,0]}]"} {"id": "python/single_target_baseline/50/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 50, "target_native_task_name": "leftRightDifference:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-23, 0, -4, 52, -85, 32, -41, 68, -73, -33]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n leftSum = [0] * n\n for i in range(1, n):\n leftSum[i] = leftSum[i - 1] + list_1[i - 1]\n total = sum(list_1)\n answer = []\n for i in range(n):\n rightSum_i = total - list_1[i] - leftSum[i]\n answer.append(abs(leftSum[i] - rightSum_i))\n python_result_1 = answer\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[84,61,57,105,72,19,10,37,32,74]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":50,\"native_task_name\":\"leftRightDifference:list\",\"output_value\":[84,61,57,105,72,19,10,37,32,74]}]"} {"id": "python/single_target_baseline/50/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 50, "target_native_task_name": "leftRightDifference:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-61, -52, -11, 35, -64, -77, 26, -77, 4, -30]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n leftSum = [0] * n\n for i in range(1, n):\n leftSum[i] = leftSum[i - 1] + list_1[i - 1]\n total = sum(list_1)\n answer = []\n for i in range(n):\n rightSum_i = total - list_1[i] - leftSum[i]\n answer.append(abs(leftSum[i] - rightSum_i))\n python_result_1 = answer\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[246,133,70,94,65,76,127,178,251,277]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":50,\"native_task_name\":\"leftRightDifference:list\",\"output_value\":[246,133,70,94,65,76,127,178,251,277]}]"} {"id": "python/single_target_baseline/50/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 50, "target_native_task_name": "leftRightDifference:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [0, 15, -11, 79, 49, -54, -31, -68, -49, -24]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n leftSum = [0] * n\n for i in range(1, n):\n leftSum[i] = leftSum[i - 1] + list_1[i - 1]\n total = sum(list_1)\n answer = []\n for i in range(n):\n rightSum_i = total - list_1[i] - leftSum[i]\n answer.append(abs(leftSum[i] - rightSum_i))\n python_result_1 = answer\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[94,109,113,181,309,304,219,120,3,70]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":50,\"native_task_name\":\"leftRightDifference:list\",\"output_value\":[94,109,113,181,309,304,219,120,3,70]}]"} {"id": "python/single_target_baseline/50/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 50, "target_native_task_name": "leftRightDifference:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [13, 21, -49, 62, -23, 66, -67, 85, 45, -99]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n leftSum = [0] * n\n for i in range(1, n):\n leftSum[i] = leftSum[i - 1] + list_1[i - 1]\n total = sum(list_1)\n answer = []\n for i in range(n):\n rightSum_i = total - list_1[i] - leftSum[i]\n answer.append(abs(leftSum[i] - rightSum_i))\n python_result_1 = answer\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[41,7,35,22,17,60,59,77,207,153]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":50,\"native_task_name\":\"leftRightDifference:list\",\"output_value\":[41,7,35,22,17,60,59,77,207,153]}]"} {"id": "python/single_target_baseline/50/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 50, "target_native_task_name": "leftRightDifference:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [17, 66, -35, 25, 33, -33, -6, -62, 37, 7]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n leftSum = [0] * n\n for i in range(1, n):\n leftSum[i] = leftSum[i - 1] + list_1[i - 1]\n total = sum(list_1)\n answer = []\n for i in range(n):\n rightSum_i = total - list_1[i] - leftSum[i]\n answer.append(abs(leftSum[i] - rightSum_i))\n python_result_1 = answer\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[32,51,82,72,130,130,91,23,2,42]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":50,\"native_task_name\":\"leftRightDifference:list\",\"output_value\":[32,51,82,72,130,130,91,23,2,42]}]"} {"id": "python/single_target_baseline/50/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 50, "target_native_task_name": "leftRightDifference:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-2, -61, 49, -26, -85, -91, 46, 94, 97, -25]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n leftSum = [0] * n\n for i in range(1, n):\n leftSum[i] = leftSum[i - 1] + list_1[i - 1]\n total = sum(list_1)\n answer = []\n for i in range(n):\n rightSum_i = total - list_1[i] - leftSum[i]\n answer.append(abs(leftSum[i] - rightSum_i))\n python_result_1 = answer\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,61,73,50,161,337,382,242,51,21]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":50,\"native_task_name\":\"leftRightDifference:list\",\"output_value\":[2,61,73,50,161,337,382,242,51,21]}]"} {"id": "python/single_target_baseline/50/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 50, "target_native_task_name": "leftRightDifference:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [63, -65, 65, 69, 3, 7, 37, -8, 58, -2]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n leftSum = [0] * n\n for i in range(1, n):\n leftSum[i] = leftSum[i - 1] + list_1[i - 1]\n total = sum(list_1)\n answer = []\n for i in range(n):\n rightSum_i = total - list_1[i] - leftSum[i]\n answer.append(abs(leftSum[i] - rightSum_i))\n python_result_1 = answer\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[164,166,166,32,40,50,94,123,173,229]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":50,\"native_task_name\":\"leftRightDifference:list\",\"output_value\":[164,166,166,32,40,50,94,123,173,229]}]"} {"id": "python/single_target_baseline/50/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 50, "target_native_task_name": "leftRightDifference:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [71, 73, 29, 41, -59, 74, -7, 46, -10, -82]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n leftSum = [0] * n\n for i in range(1, n):\n leftSum[i] = leftSum[i - 1] + list_1[i - 1]\n total = sum(list_1)\n answer = []\n for i in range(n):\n rightSum_i = total - list_1[i] - leftSum[i]\n answer.append(abs(leftSum[i] - rightSum_i))\n python_result_1 = answer\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[105,39,141,211,193,208,275,314,350,258]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":50,\"native_task_name\":\"leftRightDifference:list\",\"output_value\":[105,39,141,211,193,208,275,314,350,258]}]"} {"id": "python/single_target_baseline/50/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 50, "target_native_task_name": "leftRightDifference:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [0, -28, 93, 79, -68, 41, 49, 16, 71, -90]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n leftSum = [0] * n\n for i in range(1, n):\n leftSum[i] = leftSum[i - 1] + list_1[i - 1]\n total = sum(list_1)\n answer = []\n for i in range(n):\n rightSum_i = total - list_1[i] - leftSum[i]\n answer.append(abs(leftSum[i] - rightSum_i))\n python_result_1 = answer\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[163,191,126,46,57,30,120,185,272,253]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":50,\"native_task_name\":\"leftRightDifference:list\",\"output_value\":[163,191,126,46,57,30,120,185,272,253]}]"} {"id": "python/single_target_baseline/50/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 50, "target_native_task_name": "leftRightDifference:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [64, 18, -61, 26, -72, 71, 36, -55, 68, 84]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n leftSum = [0] * n\n for i in range(1, n):\n leftSum[i] = leftSum[i - 1] + list_1[i - 1]\n total = sum(list_1)\n answer = []\n for i in range(n):\n rightSum_i = total - list_1[i] - leftSum[i]\n answer.append(abs(leftSum[i] - rightSum_i))\n python_result_1 = answer\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[115,33,76,111,157,158,51,70,57,95]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":50,\"native_task_name\":\"leftRightDifference:list\",\"output_value\":[115,33,76,111,157,158,51,70,57,95]}]"} {"id": "python/single_target_baseline/50/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 50, "target_native_task_name": "leftRightDifference:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [73, 38, 34, -65, -63, -28, -2, -1, -34, -45]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n leftSum = [0] * n\n for i in range(1, n):\n leftSum[i] = leftSum[i - 1] + list_1[i - 1]\n total = sum(list_1)\n answer = []\n for i in range(n):\n rightSum_i = total - list_1[i] - leftSum[i]\n answer.append(abs(leftSum[i] - rightSum_i))\n python_result_1 = answer\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[166,277,349,318,190,99,69,66,31,48]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":50,\"native_task_name\":\"leftRightDifference:list\",\"output_value\":[166,277,349,318,190,99,69,66,31,48]}]"} {"id": "python/single_target_baseline/50/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 50, "target_native_task_name": "leftRightDifference:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-16, -86, -10, 79, -8, 89, 94, -32, -96, 27]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n leftSum = [0] * n\n for i in range(1, n):\n leftSum[i] = leftSum[i - 1] + list_1[i - 1]\n total = sum(list_1)\n answer = []\n for i in range(n):\n rightSum_i = total - list_1[i] - leftSum[i]\n answer.append(abs(leftSum[i] - rightSum_i))\n python_result_1 = answer\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[57,159,255,186,115,34,149,211,83,14]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":50,\"native_task_name\":\"leftRightDifference:list\",\"output_value\":[57,159,255,186,115,34,149,211,83,14]}]"} {"id": "python/single_target_baseline/50/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 50, "target_native_task_name": "leftRightDifference:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-13, 22, -23, 73, 15, -62, -84, -26, 41, 10]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n leftSum = [0] * n\n for i in range(1, n):\n leftSum[i] = leftSum[i - 1] + list_1[i - 1]\n total = sum(list_1)\n answer = []\n for i in range(n):\n rightSum_i = total - list_1[i] - leftSum[i]\n answer.append(abs(leftSum[i] - rightSum_i))\n python_result_1 = answer\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[34,43,42,92,180,133,13,123,108,57]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":50,\"native_task_name\":\"leftRightDifference:list\",\"output_value\":[34,43,42,92,180,133,13,123,108,57]}]"} {"id": "python/single_target_baseline/50/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 50, "target_native_task_name": "leftRightDifference:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-17, 94, 24, 27, 65, 3, -59, 83, 22, 63]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n leftSum = [0] * n\n for i in range(1, n):\n leftSum[i] = leftSum[i - 1] + list_1[i - 1]\n total = sum(list_1)\n answer = []\n for i in range(n):\n rightSum_i = total - list_1[i] - leftSum[i]\n answer.append(abs(leftSum[i] - rightSum_i))\n python_result_1 = answer\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[322,245,127,76,16,84,28,52,157,242]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":50,\"native_task_name\":\"leftRightDifference:list\",\"output_value\":[322,245,127,76,16,84,28,52,157,242]}]"} {"id": "python/single_target_baseline/50/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 50, "target_native_task_name": "leftRightDifference:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-45, 31, 10, 62, -63, -25, -39, 50, -10, -24]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n leftSum = [0] * n\n for i in range(1, n):\n leftSum[i] = leftSum[i - 1] + list_1[i - 1]\n total = sum(list_1)\n answer = []\n for i in range(n):\n rightSum_i = total - list_1[i] - leftSum[i]\n answer.append(abs(leftSum[i] - rightSum_i))\n python_result_1 = answer\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[8,6,35,107,106,18,46,35,5,29]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":50,\"native_task_name\":\"leftRightDifference:list\",\"output_value\":[8,6,35,107,106,18,46,35,5,29]}]"} {"id": "python/single_target_baseline/50/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 50, "target_native_task_name": "leftRightDifference:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-95, 78, -17, -25, -100, 80, -41, -68, 13, 89]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n leftSum = [0] * n\n for i in range(1, n):\n leftSum[i] = leftSum[i - 1] + list_1[i - 1]\n total = sum(list_1)\n answer = []\n for i in range(n):\n rightSum_i = total - list_1[i] - leftSum[i]\n answer.append(abs(leftSum[i] - rightSum_i))\n python_result_1 = answer\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[109,126,65,107,132,52,13,122,177,75]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":50,\"native_task_name\":\"leftRightDifference:list\",\"output_value\":[109,126,65,107,132,52,13,122,177,75]}]"} {"id": "python/single_target_baseline/51/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 51, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [5, -56, -35, 32, -67, 92, 14, -9, -21, -13]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":51,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/51/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 51, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [52, -73, -65, -27, 34, -34, -69, -3, 63, -32]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":51,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/51/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 51, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-20, -26, -46, -20, 1, -52, 38, -81, -69, 13]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":51,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/51/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 51, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [61, -36, -71, -56, 62, 26, 9, -55, -97, 7]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":51,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/51/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 51, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-22, 2, 57, -66, 44, -20, -90, -94, 24, -8]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":51,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/51/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 51, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [28, 48, -40, 93, -50, -15, -68, -2, -51, 42]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":51,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/51/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 51, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [68, -68, 24, 88, -93, 15, -90, -90, -100, 77]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":51,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/51/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 51, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-2, 38, -17, -11, -33, 80, 56, -69, 68, -80]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":51,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/51/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 51, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-96, -79, -53, 7, 7, -48, -95, -13, 51, 24]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":51,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/51/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 51, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-37, -42, 1, 52, -64, 85, -51, -15, 73, -68]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":51,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/51/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 51, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [53, 50, -40, 73, 11, 95, -28, 97, -77, -23]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":51,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/51/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 51, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [68, -68, 25, -39, -50, -19, -88, -22, -66, -29]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":51,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/51/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 51, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [72, 88, 74, 75, -78, 51, -82, -11, 40, 74]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":51,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/51/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 51, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [80, -47, 100, -26, 59, 28, 46, 87, 84, -28]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":51,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/51/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 51, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [72, 89, 20, 73, 29, -52, 48, -72, 22, -85]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":51,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/51/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 51, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-59, -85, -14, 89, 84, 53, -58, 5, -2, -75]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":51,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/52/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 52, "target_native_task_name": "minimumBoxes:scalar", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 38}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n (s, k) = (0, 1)\n while s + k * (k + 1) // 2 <= val_1:\n s += k * (k + 1) // 2\n k += 1\n k -= 1\n ans = k * (k + 1) // 2\n k = 1\n while s < val_1:\n ans += 1\n s += k\n k += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "17", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":52,\"native_task_name\":\"minimumBoxes:scalar\",\"output_value\":17}]"} {"id": "python/single_target_baseline/52/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 52, "target_native_task_name": "minimumBoxes:scalar", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 5}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n (s, k) = (0, 1)\n while s + k * (k + 1) // 2 <= val_1:\n s += k * (k + 1) // 2\n k += 1\n k -= 1\n ans = k * (k + 1) // 2\n k = 1\n while s < val_1:\n ans += 1\n s += k\n k += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":52,\"native_task_name\":\"minimumBoxes:scalar\",\"output_value\":4}]"} {"id": "python/single_target_baseline/52/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 52, "target_native_task_name": "minimumBoxes:scalar", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 51}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n (s, k) = (0, 1)\n while s + k * (k + 1) // 2 <= val_1:\n s += k * (k + 1) // 2\n k += 1\n k -= 1\n ans = k * (k + 1) // 2\n k = 1\n while s < val_1:\n ans += 1\n s += k\n k += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "21", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":52,\"native_task_name\":\"minimumBoxes:scalar\",\"output_value\":21}]"} {"id": "python/single_target_baseline/52/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 52, "target_native_task_name": "minimumBoxes:scalar", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 24}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n (s, k) = (0, 1)\n while s + k * (k + 1) // 2 <= val_1:\n s += k * (k + 1) // 2\n k += 1\n k -= 1\n ans = k * (k + 1) // 2\n k = 1\n while s < val_1:\n ans += 1\n s += k\n k += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "13", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":52,\"native_task_name\":\"minimumBoxes:scalar\",\"output_value\":13}]"} {"id": "python/single_target_baseline/52/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 52, "target_native_task_name": "minimumBoxes:scalar", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 66}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n (s, k) = (0, 1)\n while s + k * (k + 1) // 2 <= val_1:\n s += k * (k + 1) // 2\n k += 1\n k -= 1\n ans = k * (k + 1) // 2\n k = 1\n while s < val_1:\n ans += 1\n s += k\n k += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "25", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":52,\"native_task_name\":\"minimumBoxes:scalar\",\"output_value\":25}]"} {"id": "python/single_target_baseline/52/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 52, "target_native_task_name": "minimumBoxes:scalar", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 18}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n (s, k) = (0, 1)\n while s + k * (k + 1) // 2 <= val_1:\n s += k * (k + 1) // 2\n k += 1\n k -= 1\n ans = k * (k + 1) // 2\n k = 1\n while s < val_1:\n ans += 1\n s += k\n k += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":52,\"native_task_name\":\"minimumBoxes:scalar\",\"output_value\":10}]"} {"id": "python/single_target_baseline/52/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 52, "target_native_task_name": "minimumBoxes:scalar", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 42}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n (s, k) = (0, 1)\n while s + k * (k + 1) // 2 <= val_1:\n s += k * (k + 1) // 2\n k += 1\n k -= 1\n ans = k * (k + 1) // 2\n k = 1\n while s < val_1:\n ans += 1\n s += k\n k += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "19", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":52,\"native_task_name\":\"minimumBoxes:scalar\",\"output_value\":19}]"} {"id": "python/single_target_baseline/52/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 52, "target_native_task_name": "minimumBoxes:scalar", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 20}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n (s, k) = (0, 1)\n while s + k * (k + 1) // 2 <= val_1:\n s += k * (k + 1) // 2\n k += 1\n k -= 1\n ans = k * (k + 1) // 2\n k = 1\n while s < val_1:\n ans += 1\n s += k\n k += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":52,\"native_task_name\":\"minimumBoxes:scalar\",\"output_value\":10}]"} {"id": "python/single_target_baseline/52/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 52, "target_native_task_name": "minimumBoxes:scalar", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 2}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n (s, k) = (0, 1)\n while s + k * (k + 1) // 2 <= val_1:\n s += k * (k + 1) // 2\n k += 1\n k -= 1\n ans = k * (k + 1) // 2\n k = 1\n while s < val_1:\n ans += 1\n s += k\n k += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":52,\"native_task_name\":\"minimumBoxes:scalar\",\"output_value\":2}]"} {"id": "python/single_target_baseline/52/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 52, "target_native_task_name": "minimumBoxes:scalar", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 57}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n (s, k) = (0, 1)\n while s + k * (k + 1) // 2 <= val_1:\n s += k * (k + 1) // 2\n k += 1\n k -= 1\n ans = k * (k + 1) // 2\n k = 1\n while s < val_1:\n ans += 1\n s += k\n k += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "22", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":52,\"native_task_name\":\"minimumBoxes:scalar\",\"output_value\":22}]"} {"id": "python/single_target_baseline/52/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 52, "target_native_task_name": "minimumBoxes:scalar", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 54}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n (s, k) = (0, 1)\n while s + k * (k + 1) // 2 <= val_1:\n s += k * (k + 1) // 2\n k += 1\n k -= 1\n ans = k * (k + 1) // 2\n k = 1\n while s < val_1:\n ans += 1\n s += k\n k += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "21", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":52,\"native_task_name\":\"minimumBoxes:scalar\",\"output_value\":21}]"} {"id": "python/single_target_baseline/52/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 52, "target_native_task_name": "minimumBoxes:scalar", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 88}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n (s, k) = (0, 1)\n while s + k * (k + 1) // 2 <= val_1:\n s += k * (k + 1) // 2\n k += 1\n k -= 1\n ans = k * (k + 1) // 2\n k = 1\n while s < val_1:\n ans += 1\n s += k\n k += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "31", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":52,\"native_task_name\":\"minimumBoxes:scalar\",\"output_value\":31}]"} {"id": "python/single_target_baseline/52/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 52, "target_native_task_name": "minimumBoxes:scalar", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 11}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n (s, k) = (0, 1)\n while s + k * (k + 1) // 2 <= val_1:\n s += k * (k + 1) // 2\n k += 1\n k -= 1\n ans = k * (k + 1) // 2\n k = 1\n while s < val_1:\n ans += 1\n s += k\n k += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":52,\"native_task_name\":\"minimumBoxes:scalar\",\"output_value\":7}]"} {"id": "python/single_target_baseline/52/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 52, "target_native_task_name": "minimumBoxes:scalar", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 64}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n (s, k) = (0, 1)\n while s + k * (k + 1) // 2 <= val_1:\n s += k * (k + 1) // 2\n k += 1\n k -= 1\n ans = k * (k + 1) // 2\n k = 1\n while s < val_1:\n ans += 1\n s += k\n k += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "25", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":52,\"native_task_name\":\"minimumBoxes:scalar\",\"output_value\":25}]"} {"id": "python/single_target_baseline/52/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 52, "target_native_task_name": "minimumBoxes:scalar", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 25}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n (s, k) = (0, 1)\n while s + k * (k + 1) // 2 <= val_1:\n s += k * (k + 1) // 2\n k += 1\n k -= 1\n ans = k * (k + 1) // 2\n k = 1\n while s < val_1:\n ans += 1\n s += k\n k += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "13", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":52,\"native_task_name\":\"minimumBoxes:scalar\",\"output_value\":13}]"} {"id": "python/single_target_baseline/52/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 52, "target_native_task_name": "minimumBoxes:scalar", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 91}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n (s, k) = (0, 1)\n while s + k * (k + 1) // 2 <= val_1:\n s += k * (k + 1) // 2\n k += 1\n k -= 1\n ans = k * (k + 1) // 2\n k = 1\n while s < val_1:\n ans += 1\n s += k\n k += 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "32", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":52,\"native_task_name\":\"minimumBoxes:scalar\",\"output_value\":32}]"} {"id": "python/single_target_baseline/53/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 53, "target_native_task_name": "lenLongestFibSubseq:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [93, 31, 40, 38, 48, -98, 69, 9, 42, -33]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n d = {x: i for (i, x) in enumerate(list_1)}\n for i in range(n):\n for j in range(i):\n f[i][j] = 2\n ans = 0\n for i in range(2, n):\n for j in range(1, i):\n t = list_1[i] - list_1[j]\n if t in d and (k := d[t]) < j:\n f[i][j] = max(f[i][j], f[j][k] + 1)\n ans = max(ans, f[i][j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":53,\"native_task_name\":\"lenLongestFibSubseq:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/53/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 53, "target_native_task_name": "lenLongestFibSubseq:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [81, -71, 30, 34, 4, 76, 36, 40, -51, 5]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n d = {x: i for (i, x) in enumerate(list_1)}\n for i in range(n):\n for j in range(i):\n f[i][j] = 2\n ans = 0\n for i in range(2, n):\n for j in range(1, i):\n t = list_1[i] - list_1[j]\n if t in d and (k := d[t]) < j:\n f[i][j] = max(f[i][j], f[j][k] + 1)\n ans = max(ans, f[i][j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":53,\"native_task_name\":\"lenLongestFibSubseq:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/53/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 53, "target_native_task_name": "lenLongestFibSubseq:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [53, 79, -52, -2, 51, -6, -85, 72, -6, -57]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n d = {x: i for (i, x) in enumerate(list_1)}\n for i in range(n):\n for j in range(i):\n f[i][j] = 2\n ans = 0\n for i in range(2, n):\n for j in range(1, i):\n t = list_1[i] - list_1[j]\n if t in d and (k := d[t]) < j:\n f[i][j] = max(f[i][j], f[j][k] + 1)\n ans = max(ans, f[i][j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":53,\"native_task_name\":\"lenLongestFibSubseq:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/53/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 53, "target_native_task_name": "lenLongestFibSubseq:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [23, -13, -24, -60, -8, -68, -14, -96, 95, -3]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n d = {x: i for (i, x) in enumerate(list_1)}\n for i in range(n):\n for j in range(i):\n f[i][j] = 2\n ans = 0\n for i in range(2, n):\n for j in range(1, i):\n t = list_1[i] - list_1[j]\n if t in d and (k := d[t]) < j:\n f[i][j] = max(f[i][j], f[j][k] + 1)\n ans = max(ans, f[i][j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":53,\"native_task_name\":\"lenLongestFibSubseq:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/53/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 53, "target_native_task_name": "lenLongestFibSubseq:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-1, 81, -84, -56, -100, 18, 28, -70, -82, 99]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n d = {x: i for (i, x) in enumerate(list_1)}\n for i in range(n):\n for j in range(i):\n f[i][j] = 2\n ans = 0\n for i in range(2, n):\n for j in range(1, i):\n t = list_1[i] - list_1[j]\n if t in d and (k := d[t]) < j:\n f[i][j] = max(f[i][j], f[j][k] + 1)\n ans = max(ans, f[i][j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":53,\"native_task_name\":\"lenLongestFibSubseq:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/53/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 53, "target_native_task_name": "lenLongestFibSubseq:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [19, -11, 89, 80, 100, 52, 7, -73, -54, 4]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n d = {x: i for (i, x) in enumerate(list_1)}\n for i in range(n):\n for j in range(i):\n f[i][j] = 2\n ans = 0\n for i in range(2, n):\n for j in range(1, i):\n t = list_1[i] - list_1[j]\n if t in d and (k := d[t]) < j:\n f[i][j] = max(f[i][j], f[j][k] + 1)\n ans = max(ans, f[i][j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":53,\"native_task_name\":\"lenLongestFibSubseq:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/53/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 53, "target_native_task_name": "lenLongestFibSubseq:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [97, -5, 32, 67, 90, 84, 93, -2, -24, 73]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n d = {x: i for (i, x) in enumerate(list_1)}\n for i in range(n):\n for j in range(i):\n f[i][j] = 2\n ans = 0\n for i in range(2, n):\n for j in range(1, i):\n t = list_1[i] - list_1[j]\n if t in d and (k := d[t]) < j:\n f[i][j] = max(f[i][j], f[j][k] + 1)\n ans = max(ans, f[i][j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":53,\"native_task_name\":\"lenLongestFibSubseq:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/53/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 53, "target_native_task_name": "lenLongestFibSubseq:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [56, 38, 81, -73, -91, -22, 94, 51, 95, 15]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n d = {x: i for (i, x) in enumerate(list_1)}\n for i in range(n):\n for j in range(i):\n f[i][j] = 2\n ans = 0\n for i in range(2, n):\n for j in range(1, i):\n t = list_1[i] - list_1[j]\n if t in d and (k := d[t]) < j:\n f[i][j] = max(f[i][j], f[j][k] + 1)\n ans = max(ans, f[i][j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":53,\"native_task_name\":\"lenLongestFibSubseq:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/53/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 53, "target_native_task_name": "lenLongestFibSubseq:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-9, 89, -42, 50, 80, 49, 69, -43, 36, -8]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n d = {x: i for (i, x) in enumerate(list_1)}\n for i in range(n):\n for j in range(i):\n f[i][j] = 2\n ans = 0\n for i in range(2, n):\n for j in range(1, i):\n t = list_1[i] - list_1[j]\n if t in d and (k := d[t]) < j:\n f[i][j] = max(f[i][j], f[j][k] + 1)\n ans = max(ans, f[i][j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":53,\"native_task_name\":\"lenLongestFibSubseq:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/53/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 53, "target_native_task_name": "lenLongestFibSubseq:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-44, -95, 99, -21, 53, 19, -58, 25, 58, 55]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n d = {x: i for (i, x) in enumerate(list_1)}\n for i in range(n):\n for j in range(i):\n f[i][j] = 2\n ans = 0\n for i in range(2, n):\n for j in range(1, i):\n t = list_1[i] - list_1[j]\n if t in d and (k := d[t]) < j:\n f[i][j] = max(f[i][j], f[j][k] + 1)\n ans = max(ans, f[i][j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":53,\"native_task_name\":\"lenLongestFibSubseq:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/53/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 53, "target_native_task_name": "lenLongestFibSubseq:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-22, 75, 58, 66, -43, 16, -37, -41, 38, -58]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n d = {x: i for (i, x) in enumerate(list_1)}\n for i in range(n):\n for j in range(i):\n f[i][j] = 2\n ans = 0\n for i in range(2, n):\n for j in range(1, i):\n t = list_1[i] - list_1[j]\n if t in d and (k := d[t]) < j:\n f[i][j] = max(f[i][j], f[j][k] + 1)\n ans = max(ans, f[i][j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":53,\"native_task_name\":\"lenLongestFibSubseq:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/53/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 53, "target_native_task_name": "lenLongestFibSubseq:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-68, -46, -57, -84, 61, -87, -31, -26, 73, 2]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n d = {x: i for (i, x) in enumerate(list_1)}\n for i in range(n):\n for j in range(i):\n f[i][j] = 2\n ans = 0\n for i in range(2, n):\n for j in range(1, i):\n t = list_1[i] - list_1[j]\n if t in d and (k := d[t]) < j:\n f[i][j] = max(f[i][j], f[j][k] + 1)\n ans = max(ans, f[i][j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":53,\"native_task_name\":\"lenLongestFibSubseq:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/53/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 53, "target_native_task_name": "lenLongestFibSubseq:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [62, 75, -19, -100, -72, -16, -16, -60, 7, 48]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n d = {x: i for (i, x) in enumerate(list_1)}\n for i in range(n):\n for j in range(i):\n f[i][j] = 2\n ans = 0\n for i in range(2, n):\n for j in range(1, i):\n t = list_1[i] - list_1[j]\n if t in d and (k := d[t]) < j:\n f[i][j] = max(f[i][j], f[j][k] + 1)\n ans = max(ans, f[i][j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":53,\"native_task_name\":\"lenLongestFibSubseq:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/53/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 53, "target_native_task_name": "lenLongestFibSubseq:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [0, 95, -93, 27, -86, 78, -3, -66, 75, 4]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n d = {x: i for (i, x) in enumerate(list_1)}\n for i in range(n):\n for j in range(i):\n f[i][j] = 2\n ans = 0\n for i in range(2, n):\n for j in range(1, i):\n t = list_1[i] - list_1[j]\n if t in d and (k := d[t]) < j:\n f[i][j] = max(f[i][j], f[j][k] + 1)\n ans = max(ans, f[i][j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":53,\"native_task_name\":\"lenLongestFibSubseq:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/53/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 53, "target_native_task_name": "lenLongestFibSubseq:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-90, -23, -70, -12, -31, 74, -82, 31, 24, 62]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n d = {x: i for (i, x) in enumerate(list_1)}\n for i in range(n):\n for j in range(i):\n f[i][j] = 2\n ans = 0\n for i in range(2, n):\n for j in range(1, i):\n t = list_1[i] - list_1[j]\n if t in d and (k := d[t]) < j:\n f[i][j] = max(f[i][j], f[j][k] + 1)\n ans = max(ans, f[i][j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":53,\"native_task_name\":\"lenLongestFibSubseq:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/53/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 53, "target_native_task_name": "lenLongestFibSubseq:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-35, 86, -48, 94, 54, -38, -84, 18, 48, 55]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n d = {x: i for (i, x) in enumerate(list_1)}\n for i in range(n):\n for j in range(i):\n f[i][j] = 2\n ans = 0\n for i in range(2, n):\n for j in range(1, i):\n t = list_1[i] - list_1[j]\n if t in d and (k := d[t]) < j:\n f[i][j] = max(f[i][j], f[j][k] + 1)\n ans = max(ans, f[i][j])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":53,\"native_task_name\":\"lenLongestFibSubseq:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/54/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 54, "target_native_task_name": "matchPlayersAndTrainers:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [77, -25, 30, 24, 62, -1, 21, -28, 24, 62]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_trainers_static = [-88, -33, -83, -98, 88, -1, -8, 64, 26, -96].\nTrace the execution of task_1 with inputs trainers = task_1_trainers_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], trainers: List[int]) -> int:\n list_1.sort()\n trainers.sort()\n (j, n) = (0, len(trainers))\n for (i, p) in enumerate(list_1):\n while j < n and trainers[j] < p:\n j += 1\n if j == n:\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":54,\"native_task_name\":\"matchPlayersAndTrainers:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/54/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 54, "target_native_task_name": "matchPlayersAndTrainers:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-18, 58, 22, -45, 31, -25, -91, 9, 66, -26]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_trainers_static = [-84, -25, 99, 62, 74, 80, 73, -50, -42, -43].\nTrace the execution of task_1 with inputs trainers = task_1_trainers_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], trainers: List[int]) -> int:\n list_1.sort()\n trainers.sort()\n (j, n) = (0, len(trainers))\n for (i, p) in enumerate(list_1):\n while j < n and trainers[j] < p:\n j += 1\n if j == n:\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":54,\"native_task_name\":\"matchPlayersAndTrainers:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/54/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 54, "target_native_task_name": "matchPlayersAndTrainers:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [86, -23, 43, -72, 35, -76, -92, 1, 71, -60]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_trainers_static = [6, -14, -62, -33, -98, 77, -49, -97, -10, -52].\nTrace the execution of task_1 with inputs trainers = task_1_trainers_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], trainers: List[int]) -> int:\n list_1.sort()\n trainers.sort()\n (j, n) = (0, len(trainers))\n for (i, p) in enumerate(list_1):\n while j < n and trainers[j] < p:\n j += 1\n if j == n:\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":54,\"native_task_name\":\"matchPlayersAndTrainers:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/54/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 54, "target_native_task_name": "matchPlayersAndTrainers:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-100, -79, 58, 100, -66, -44, 76, -55, 75, -74]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_trainers_static = [80, -13, -56, -85, 100, 32, -57, -83, 69, 4].\nTrace the execution of task_1 with inputs trainers = task_1_trainers_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], trainers: List[int]) -> int:\n list_1.sort()\n trainers.sort()\n (j, n) = (0, len(trainers))\n for (i, p) in enumerate(list_1):\n while j < n and trainers[j] < p:\n j += 1\n if j == n:\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":54,\"native_task_name\":\"matchPlayersAndTrainers:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/54/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 54, "target_native_task_name": "matchPlayersAndTrainers:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [70, -14, -31, -39, -93, 48, 70, -97, -38, 4]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_trainers_static = [-49, -73, 36, 100, 14, 42, 98, -26, 86, 75].\nTrace the execution of task_1 with inputs trainers = task_1_trainers_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], trainers: List[int]) -> int:\n list_1.sort()\n trainers.sort()\n (j, n) = (0, len(trainers))\n for (i, p) in enumerate(list_1):\n while j < n and trainers[j] < p:\n j += 1\n if j == n:\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":54,\"native_task_name\":\"matchPlayersAndTrainers:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/54/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 54, "target_native_task_name": "matchPlayersAndTrainers:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [97, -68, 94, 100, 18, 86, 54, 18, -64, -53]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_trainers_static = [3, -1, 43, 11, 19, -48, 4, -15, -27, -17].\nTrace the execution of task_1 with inputs trainers = task_1_trainers_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], trainers: List[int]) -> int:\n list_1.sort()\n trainers.sort()\n (j, n) = (0, len(trainers))\n for (i, p) in enumerate(list_1):\n while j < n and trainers[j] < p:\n j += 1\n if j == n:\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":54,\"native_task_name\":\"matchPlayersAndTrainers:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/54/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 54, "target_native_task_name": "matchPlayersAndTrainers:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [52, 5, 97, 14, -48, -24, -46, 43, -57, 52]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_trainers_static = [-66, -72, 27, -14, 8, -51, 100, -16, 94, 33].\nTrace the execution of task_1 with inputs trainers = task_1_trainers_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], trainers: List[int]) -> int:\n list_1.sort()\n trainers.sort()\n (j, n) = (0, len(trainers))\n for (i, p) in enumerate(list_1):\n while j < n and trainers[j] < p:\n j += 1\n if j == n:\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":54,\"native_task_name\":\"matchPlayersAndTrainers:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/54/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 54, "target_native_task_name": "matchPlayersAndTrainers:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-3, -29, 66, -9, -95, 58, -48, -98, -14, 6]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_trainers_static = [-49, -48, -43, 42, 76, 3, 93, 59, 76, -78].\nTrace the execution of task_1 with inputs trainers = task_1_trainers_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], trainers: List[int]) -> int:\n list_1.sort()\n trainers.sort()\n (j, n) = (0, len(trainers))\n for (i, p) in enumerate(list_1):\n while j < n and trainers[j] < p:\n j += 1\n if j == n:\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":54,\"native_task_name\":\"matchPlayersAndTrainers:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/54/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 54, "target_native_task_name": "matchPlayersAndTrainers:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [43, -7, 62, -95, 2, -21, -19, -80, 82, -12]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_trainers_static = [-81, -47, 65, -21, 93, 68, 38, -61, 57, -84].\nTrace the execution of task_1 with inputs trainers = task_1_trainers_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], trainers: List[int]) -> int:\n list_1.sort()\n trainers.sort()\n (j, n) = (0, len(trainers))\n for (i, p) in enumerate(list_1):\n while j < n and trainers[j] < p:\n j += 1\n if j == n:\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":54,\"native_task_name\":\"matchPlayersAndTrainers:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/54/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 54, "target_native_task_name": "matchPlayersAndTrainers:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [55, -82, 46, 48, 15, -62, 52, 25, 64, -99]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_trainers_static = [9, -47, 3, -27, 19, 100, 50, 66, -61, 79].\nTrace the execution of task_1 with inputs trainers = task_1_trainers_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], trainers: List[int]) -> int:\n list_1.sort()\n trainers.sort()\n (j, n) = (0, len(trainers))\n for (i, p) in enumerate(list_1):\n while j < n and trainers[j] < p:\n j += 1\n if j == n:\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":54,\"native_task_name\":\"matchPlayersAndTrainers:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/54/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 54, "target_native_task_name": "matchPlayersAndTrainers:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [10, 82, 25, -97, -24, -52, 83, 27, 69, 57]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_trainers_static = [66, 16, 93, -99, -47, 79, 56, -11, 88, 43].\nTrace the execution of task_1 with inputs trainers = task_1_trainers_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], trainers: List[int]) -> int:\n list_1.sort()\n trainers.sort()\n (j, n) = (0, len(trainers))\n for (i, p) in enumerate(list_1):\n while j < n and trainers[j] < p:\n j += 1\n if j == n:\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":54,\"native_task_name\":\"matchPlayersAndTrainers:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/54/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 54, "target_native_task_name": "matchPlayersAndTrainers:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [40, -71, -19, 79, -90, 63, 28, 36, 34, 13]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_trainers_static = [-10, 94, -84, 14, -68, -88, 35, -60, -62, -94].\nTrace the execution of task_1 with inputs trainers = task_1_trainers_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], trainers: List[int]) -> int:\n list_1.sort()\n trainers.sort()\n (j, n) = (0, len(trainers))\n for (i, p) in enumerate(list_1):\n while j < n and trainers[j] < p:\n j += 1\n if j == n:\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":54,\"native_task_name\":\"matchPlayersAndTrainers:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/54/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 54, "target_native_task_name": "matchPlayersAndTrainers:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [78, 79, -20, 40, 10, 35, 38, -89, -76, 50]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_trainers_static = [-46, -75, -93, 37, 81, -14, -75, -26, 70, 66].\nTrace the execution of task_1 with inputs trainers = task_1_trainers_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], trainers: List[int]) -> int:\n list_1.sort()\n trainers.sort()\n (j, n) = (0, len(trainers))\n for (i, p) in enumerate(list_1):\n while j < n and trainers[j] < p:\n j += 1\n if j == n:\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":54,\"native_task_name\":\"matchPlayersAndTrainers:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/54/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 54, "target_native_task_name": "matchPlayersAndTrainers:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [73, -93, 78, 65, -43, 77, -32, -34, 46, -87]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_trainers_static = [-91, -52, 76, -86, -35, -25, 42, 91, 19, -48].\nTrace the execution of task_1 with inputs trainers = task_1_trainers_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], trainers: List[int]) -> int:\n list_1.sort()\n trainers.sort()\n (j, n) = (0, len(trainers))\n for (i, p) in enumerate(list_1):\n while j < n and trainers[j] < p:\n j += 1\n if j == n:\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":54,\"native_task_name\":\"matchPlayersAndTrainers:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/54/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 54, "target_native_task_name": "matchPlayersAndTrainers:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-86, -54, -92, -46, -46, -45, -99, 93, -50, -96]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_trainers_static = [20, 61, 61, 58, -36, 83, 46, -42, -42, 58].\nTrace the execution of task_1 with inputs trainers = task_1_trainers_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], trainers: List[int]) -> int:\n list_1.sort()\n trainers.sort()\n (j, n) = (0, len(trainers))\n for (i, p) in enumerate(list_1):\n while j < n and trainers[j] < p:\n j += 1\n if j == n:\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":54,\"native_task_name\":\"matchPlayersAndTrainers:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/54/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 54, "target_native_task_name": "matchPlayersAndTrainers:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [59, 39, 49, 11, -59, 59, -8, 32, -94, 11]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_trainers_static = [74, 42, 100, 12, 97, -38, -10, 89, 77, 1].\nTrace the execution of task_1 with inputs trainers = task_1_trainers_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], trainers: List[int]) -> int:\n list_1.sort()\n trainers.sort()\n (j, n) = (0, len(trainers))\n for (i, p) in enumerate(list_1):\n while j < n and trainers[j] < p:\n j += 1\n if j == n:\n python_result_1 = i\n return python_result_1\n j += 1\n python_result_1 = len(list_1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":54,\"native_task_name\":\"matchPlayersAndTrainers:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/55/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 55, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-28, 46, -31, 75, 18, 94, 35, 46, -23, 67]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n max_total = 0\n for i in range(n):\n left = [0] * (i + 1)\n left[i] = list_1[i]\n for j in range(i - 1, -1, -1):\n left[j] = min(list_1[j], left[j + 1])\n left_sum = sum(left)\n right_length = n - i\n right = [0] * right_length\n right[0] = list_1[i]\n for j in range(i + 1, n):\n pos_in_right = j - i\n right[pos_in_right] = min(list_1[j], right[pos_in_right - 1])\n right_sum = sum(right)\n current_total = left_sum + right_sum - list_1[i]\n if current_total > max_total:\n max_total = current_total\n python_result_1 = max_total\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "61", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":55,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":61}]"} {"id": "python/single_target_baseline/55/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 55, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-70, 38, 69, 54, 58, 85, 91, -91, 53, 42]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n max_total = 0\n for i in range(n):\n left = [0] * (i + 1)\n left[i] = list_1[i]\n for j in range(i - 1, -1, -1):\n left[j] = min(list_1[j], left[j + 1])\n left_sum = sum(left)\n right_length = n - i\n right = [0] * right_length\n right[0] = list_1[i]\n for j in range(i + 1, n):\n pos_in_right = j - i\n right[pos_in_right] = min(list_1[j], right[pos_in_right - 1])\n right_sum = sum(right)\n current_total = left_sum + right_sum - list_1[i]\n if current_total > max_total:\n max_total = current_total\n python_result_1 = max_total\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "37", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":55,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":37}]"} {"id": "python/single_target_baseline/55/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 55, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [12, 77, 44, 84, -14, -100, 74, 6, 37, -43]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n max_total = 0\n for i in range(n):\n left = [0] * (i + 1)\n left[i] = list_1[i]\n for j in range(i - 1, -1, -1):\n left[j] = min(list_1[j], left[j + 1])\n left_sum = sum(left)\n right_length = n - i\n right = [0] * right_length\n right[0] = list_1[i]\n for j in range(i + 1, n):\n pos_in_right = j - i\n right[pos_in_right] = min(list_1[j], right[pos_in_right - 1])\n right_sum = sum(right)\n current_total = left_sum + right_sum - list_1[i]\n if current_total > max_total:\n max_total = current_total\n python_result_1 = max_total\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "71", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":55,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":71}]"} {"id": "python/single_target_baseline/55/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 55, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [92, -34, 3, 67, -24, 87, 18, 72, 54, 80]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n max_total = 0\n for i in range(n):\n left = [0] * (i + 1)\n left[i] = list_1[i]\n for j in range(i - 1, -1, -1):\n left[j] = min(list_1[j], left[j + 1])\n left_sum = sum(left)\n right_length = n - i\n right = [0] * right_length\n right[0] = list_1[i]\n for j in range(i + 1, n):\n pos_in_right = j - i\n right[pos_in_right] = min(list_1[j], right[pos_in_right - 1])\n right_sum = sum(right)\n current_total = left_sum + right_sum - list_1[i]\n if current_total > max_total:\n max_total = current_total\n python_result_1 = max_total\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "84", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":55,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":84}]"} {"id": "python/single_target_baseline/55/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 55, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-66, 39, 96, 64, 92, 5, 10, -26, -34, -49]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n max_total = 0\n for i in range(n):\n left = [0] * (i + 1)\n left[i] = list_1[i]\n for j in range(i - 1, -1, -1):\n left[j] = min(list_1[j], left[j + 1])\n left_sum = sum(left)\n right_length = n - i\n right = [0] * right_length\n right[0] = list_1[i]\n for j in range(i + 1, n):\n pos_in_right = j - i\n right[pos_in_right] = min(list_1[j], right[pos_in_right - 1])\n right_sum = sum(right)\n current_total = left_sum + right_sum - list_1[i]\n if current_total > max_total:\n max_total = current_total\n python_result_1 = max_total\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "98", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":55,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":98}]"} {"id": "python/single_target_baseline/55/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 55, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [48, -100, 38, 45, 42, 32, 70, 65, 7, 42]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n max_total = 0\n for i in range(n):\n left = [0] * (i + 1)\n left[i] = list_1[i]\n for j in range(i - 1, -1, -1):\n left[j] = min(list_1[j], left[j + 1])\n left_sum = sum(left)\n right_length = n - i\n right = [0] * right_length\n right[0] = list_1[i]\n for j in range(i + 1, n):\n pos_in_right = j - i\n right[pos_in_right] = min(list_1[j], right[pos_in_right - 1])\n right_sum = sum(right)\n current_total = left_sum + right_sum - list_1[i]\n if current_total > max_total:\n max_total = current_total\n python_result_1 = max_total\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "277", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":55,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":277}]"} {"id": "python/single_target_baseline/55/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 55, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [26, -56, -24, 91, 13, 63, 51, 13, -1, 45]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n max_total = 0\n for i in range(n):\n left = [0] * (i + 1)\n left[i] = list_1[i]\n for j in range(i - 1, -1, -1):\n left[j] = min(list_1[j], left[j + 1])\n left_sum = sum(left)\n right_length = n - i\n right = [0] * right_length\n right[0] = list_1[i]\n for j in range(i + 1, n):\n pos_in_right = j - i\n right[pos_in_right] = min(list_1[j], right[pos_in_right - 1])\n right_sum = sum(right)\n current_total = left_sum + right_sum - list_1[i]\n if current_total > max_total:\n max_total = current_total\n python_result_1 = max_total\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "15", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":55,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":15}]"} {"id": "python/single_target_baseline/55/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 55, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-12, -29, 8, 6, 32, 85, 84, -9, 73, 49]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n max_total = 0\n for i in range(n):\n left = [0] * (i + 1)\n left[i] = list_1[i]\n for j in range(i - 1, -1, -1):\n left[j] = min(list_1[j], left[j + 1])\n left_sum = sum(left)\n right_length = n - i\n right = [0] * right_length\n right[0] = list_1[i]\n for j in range(i + 1, n):\n pos_in_right = j - i\n right[pos_in_right] = min(list_1[j], right[pos_in_right - 1])\n right_sum = sum(right)\n current_total = left_sum + right_sum - list_1[i]\n if current_total > max_total:\n max_total = current_total\n python_result_1 = max_total\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "128", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":55,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":128}]"} {"id": "python/single_target_baseline/55/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 55, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [1, 72, 66, 99, 50, -43, 65, 8, -55, -59]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n max_total = 0\n for i in range(n):\n left = [0] * (i + 1)\n left[i] = list_1[i]\n for j in range(i - 1, -1, -1):\n left[j] = min(list_1[j], left[j + 1])\n left_sum = sum(left)\n right_length = n - i\n right = [0] * right_length\n right[0] = list_1[i]\n for j in range(i + 1, n):\n pos_in_right = j - i\n right[pos_in_right] = min(list_1[j], right[pos_in_right - 1])\n right_sum = sum(right)\n current_total = left_sum + right_sum - list_1[i]\n if current_total > max_total:\n max_total = current_total\n python_result_1 = max_total\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "39", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":55,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":39}]"} {"id": "python/single_target_baseline/55/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 55, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [75, -94, 39, -7, 22, 65, 95, 67, 86, 63]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n max_total = 0\n for i in range(n):\n left = [0] * (i + 1)\n left[i] = list_1[i]\n for j in range(i - 1, -1, -1):\n left[j] = min(list_1[j], left[j + 1])\n left_sum = sum(left)\n right_length = n - i\n right = [0] * right_length\n right[0] = list_1[i]\n for j in range(i + 1, n):\n pos_in_right = j - i\n right[pos_in_right] = min(list_1[j], right[pos_in_right - 1])\n right_sum = sum(right)\n current_total = left_sum + right_sum - list_1[i]\n if current_total > max_total:\n max_total = current_total\n python_result_1 = max_total\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "177", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":55,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":177}]"} {"id": "python/single_target_baseline/55/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 55, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [3, 89, 92, 90, 85, -25, 40, 39, -91, 19]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n max_total = 0\n for i in range(n):\n left = [0] * (i + 1)\n left[i] = list_1[i]\n for j in range(i - 1, -1, -1):\n left[j] = min(list_1[j], left[j + 1])\n left_sum = sum(left)\n right_length = n - i\n right = [0] * right_length\n right[0] = list_1[i]\n for j in range(i + 1, n):\n pos_in_right = j - i\n right[pos_in_right] = min(list_1[j], right[pos_in_right - 1])\n right_sum = sum(right)\n current_total = left_sum + right_sum - list_1[i]\n if current_total > max_total:\n max_total = current_total\n python_result_1 = max_total\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "102", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":55,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":102}]"} {"id": "python/single_target_baseline/55/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 55, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-17, -5, -22, 70, -3, 42, 74, 91, 16, 78]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n max_total = 0\n for i in range(n):\n left = [0] * (i + 1)\n left[i] = list_1[i]\n for j in range(i - 1, -1, -1):\n left[j] = min(list_1[j], left[j + 1])\n left_sum = sum(left)\n right_length = n - i\n right = [0] * right_length\n right[0] = list_1[i]\n for j in range(i + 1, n):\n pos_in_right = j - i\n right[pos_in_right] = min(list_1[j], right[pos_in_right - 1])\n right_sum = sum(right)\n current_total = left_sum + right_sum - list_1[i]\n if current_total > max_total:\n max_total = current_total\n python_result_1 = max_total\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "167", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":55,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":167}]"} {"id": "python/single_target_baseline/55/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 55, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [32, 18, 81, 69, -6, -5, 86, -47, 88, 67]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n max_total = 0\n for i in range(n):\n left = [0] * (i + 1)\n left[i] = list_1[i]\n for j in range(i - 1, -1, -1):\n left[j] = min(list_1[j], left[j + 1])\n left_sum = sum(left)\n right_length = n - i\n right = [0] * right_length\n right[0] = list_1[i]\n for j in range(i + 1, n):\n pos_in_right = j - i\n right[pos_in_right] = min(list_1[j], right[pos_in_right - 1])\n right_sum = sum(right)\n current_total = left_sum + right_sum - list_1[i]\n if current_total > max_total:\n max_total = current_total\n python_result_1 = max_total\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "27", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":55,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":27}]"} {"id": "python/single_target_baseline/55/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 55, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [80, 84, -28, 45, -53, 91, 80, 99, 96, 69]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n max_total = 0\n for i in range(n):\n left = [0] * (i + 1)\n left[i] = list_1[i]\n for j in range(i - 1, -1, -1):\n left[j] = min(list_1[j], left[j + 1])\n left_sum = sum(left)\n right_length = n - i\n right = [0] * right_length\n right[0] = list_1[i]\n for j in range(i + 1, n):\n pos_in_right = j - i\n right[pos_in_right] = min(list_1[j], right[pos_in_right - 1])\n right_sum = sum(right)\n current_total = left_sum + right_sum - list_1[i]\n if current_total > max_total:\n max_total = current_total\n python_result_1 = max_total\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "159", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":55,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":159}]"} {"id": "python/single_target_baseline/55/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 55, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-57, -47, -54, -2, -20, 65, 57, 94, 94, -73]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n max_total = 0\n for i in range(n):\n left = [0] * (i + 1)\n left[i] = list_1[i]\n for j in range(i - 1, -1, -1):\n left[j] = min(list_1[j], left[j + 1])\n left_sum = sum(left)\n right_length = n - i\n right = [0] * right_length\n right[0] = list_1[i]\n for j in range(i + 1, n):\n pos_in_right = j - i\n right[pos_in_right] = min(list_1[j], right[pos_in_right - 1])\n right_sum = sum(right)\n current_total = left_sum + right_sum - list_1[i]\n if current_total > max_total:\n max_total = current_total\n python_result_1 = max_total\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "24", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":55,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":24}]"} {"id": "python/single_target_baseline/55/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 55, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [87, 28, 4, 44, 17, 86, 44, 8, 63, -30]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n max_total = 0\n for i in range(n):\n left = [0] * (i + 1)\n left[i] = list_1[i]\n for j in range(i - 1, -1, -1):\n left[j] = min(list_1[j], left[j + 1])\n left_sum = sum(left)\n right_length = n - i\n right = [0] * right_length\n right[0] = list_1[i]\n for j in range(i + 1, n):\n pos_in_right = j - i\n right[pos_in_right] = min(list_1[j], right[pos_in_right - 1])\n right_sum = sum(right)\n current_total = left_sum + right_sum - list_1[i]\n if current_total > max_total:\n max_total = current_total\n python_result_1 = max_total\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "162", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":55,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":162}]"} {"id": "python/single_target_baseline/56/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 56, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [51, 84, -43, -7, -36, -59, -35, -51, -20, -3]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n h = list_1[i]\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "102", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":56,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":102}]"} {"id": "python/single_target_baseline/56/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 56, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [24, 17, -52, -28, -63, -5, 45, 7, -28, 77]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n h = list_1[i]\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "77", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":56,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":77}]"} {"id": "python/single_target_baseline/56/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 56, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [20, -11, 3, 14, -44, -59, -62, -56, -1, -73]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n h = list_1[i]\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "20", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":56,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":20}]"} {"id": "python/single_target_baseline/56/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 56, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-45, -8, -1, -16, -95, -47, 23, -13, 22, -17]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n h = list_1[i]\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "23", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":56,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":23}]"} {"id": "python/single_target_baseline/56/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 56, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [25, -74, 38, -69, 47, 49, -83, -24, 21, 70]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n h = list_1[i]\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "94", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":56,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":94}]"} {"id": "python/single_target_baseline/56/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 56, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-59, -16, -96, -47, 81, -57, 65, -76, 72, 41]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n h = list_1[i]\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "82", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":56,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":82}]"} {"id": "python/single_target_baseline/56/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 56, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-48, -82, 82, -89, 2, -52, -91, 50, 11, -3]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n h = list_1[i]\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "82", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":56,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":82}]"} {"id": "python/single_target_baseline/56/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 56, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-48, 4, -58, 20, -80, 51, -90, -16, 73, 74]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n h = list_1[i]\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "146", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":56,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":146}]"} {"id": "python/single_target_baseline/56/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 56, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-75, -62, 9, 89, 46, -15, 42, -7, 91, 11]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n h = list_1[i]\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "92", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":56,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":92}]"} {"id": "python/single_target_baseline/56/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 56, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [41, -91, -74, -19, 15, -90, -24, 54, -67, 66]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n h = list_1[i]\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "66", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":56,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":66}]"} {"id": "python/single_target_baseline/56/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 56, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-62, 79, 36, 97, 96, -16, 41, -99, 10, 10]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n h = list_1[i]\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "192", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":56,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":192}]"} {"id": "python/single_target_baseline/56/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 56, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-4, -99, 88, -89, -97, -48, 64, 100, -70, -38]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n h = list_1[i]\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "88", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":56,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":88}]"} {"id": "python/single_target_baseline/56/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 56, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-84, -71, 37, -13, 14, 46, 29, 90, -43, 76]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n h = list_1[i]\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "90", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":56,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":90}]"} {"id": "python/single_target_baseline/56/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 56, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [31, 37, 41, -28, -33, 7, 41, 3, -8, 51]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n h = list_1[i]\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "93", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":56,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":93}]"} {"id": "python/single_target_baseline/56/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 56, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [82, -71, -70, -100, 33, -17, 22, -21, -28, -40]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n h = list_1[i]\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "82", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":56,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":82}]"} {"id": "python/single_target_baseline/56/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 56, "target_native_task_name": "largestRectangleArea:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [30, 66, 55, 63, 73, -16, -44, 16, -23, 87]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n right = [n] * n\n for (i, h) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n h = list_1[i]\n while stk and list_1[stk[-1]] >= h:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n python_result_1 = max((h * (right[i] - left[i] - 1) for (i, h) in enumerate(list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "220", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":56,\"native_task_name\":\"largestRectangleArea:list\",\"output_value\":220}]"} {"id": "python/single_target_baseline/57/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 57, "target_native_task_name": "maxScore:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-1, -51, -43, 2, -12, 27, 55, 30, -22, 57]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n stk.append(i)\n ans = i = 0\n for j in stk:\n ans += list_1[j] * (j - i)\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "513", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":57,\"native_task_name\":\"maxScore:list\",\"output_value\":513}]"} {"id": "python/single_target_baseline/57/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 57, "target_native_task_name": "maxScore:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [91, 29, -22, 97, -54, -47, 51, 44, -47, 85]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n stk.append(i)\n ans = i = 0\n for j in stk:\n ans += list_1[j] * (j - i)\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "801", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":57,\"native_task_name\":\"maxScore:list\",\"output_value\":801}]"} {"id": "python/single_target_baseline/57/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 57, "target_native_task_name": "maxScore:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [88, -28, -4, -51, 42, 64, 20, -69, -96, -47]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n stk.append(i)\n ans = i = 0\n for j in stk:\n ans += list_1[j] * (j - i)\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "199", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":57,\"native_task_name\":\"maxScore:list\",\"output_value\":199}]"} {"id": "python/single_target_baseline/57/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 57, "target_native_task_name": "maxScore:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [38, 93, 64, -91, 84, 4, -50, 0, -23, -81]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n stk.append(i)\n ans = i = 0\n for j in stk:\n ans += list_1[j] * (j - i)\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "245", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":57,\"native_task_name\":\"maxScore:list\",\"output_value\":245}]"} {"id": "python/single_target_baseline/57/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 57, "target_native_task_name": "maxScore:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [85, 13, -35, 88, 81, -98, -34, 39, -86, -50]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n stk.append(i)\n ans = i = 0\n for j in stk:\n ans += list_1[j] * (j - i)\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "362", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":57,\"native_task_name\":\"maxScore:list\",\"output_value\":362}]"} {"id": "python/single_target_baseline/57/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 57, "target_native_task_name": "maxScore:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [88, -64, -81, -82, 38, -72, 49, 47, 59, -79]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n stk.append(i)\n ans = i = 0\n for j in stk:\n ans += list_1[j] * (j - i)\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "393", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":57,\"native_task_name\":\"maxScore:list\",\"output_value\":393}]"} {"id": "python/single_target_baseline/57/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 57, "target_native_task_name": "maxScore:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-60, 92, -75, -55, 98, -50, -60, 8, -36, -4]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n stk.append(i)\n ans = i = 0\n for j in stk:\n ans += list_1[j] * (j - i)\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "408", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":57,\"native_task_name\":\"maxScore:list\",\"output_value\":408}]"} {"id": "python/single_target_baseline/57/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 57, "target_native_task_name": "maxScore:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [41, 51, 50, -84, 86, -63, 61, -98, 32, -95]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n stk.append(i)\n ans = i = 0\n for j in stk:\n ans += list_1[j] * (j - i)\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "435", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":57,\"native_task_name\":\"maxScore:list\",\"output_value\":435}]"} {"id": "python/single_target_baseline/57/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 57, "target_native_task_name": "maxScore:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [45, -19, 66, 9, -75, 46, 6, 53, -12, 81]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n stk.append(i)\n ans = i = 0\n for j in stk:\n ans += list_1[j] * (j - i)\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "729", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":57,\"native_task_name\":\"maxScore:list\",\"output_value\":729}]"} {"id": "python/single_target_baseline/57/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 57, "target_native_task_name": "maxScore:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-26, 12, -98, -6, 67, 16, -68, 30, -62, 85]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n stk.append(i)\n ans = i = 0\n for j in stk:\n ans += list_1[j] * (j - i)\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "765", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":57,\"native_task_name\":\"maxScore:list\",\"output_value\":765}]"} {"id": "python/single_target_baseline/57/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 57, "target_native_task_name": "maxScore:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-77, 90, 81, -47, 45, -84, -93, 14, -37, -83]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n stk.append(i)\n ans = i = 0\n for j in stk:\n ans += list_1[j] * (j - i)\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "183", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":57,\"native_task_name\":\"maxScore:list\",\"output_value\":183}]"} {"id": "python/single_target_baseline/57/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 57, "target_native_task_name": "maxScore:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [16, -19, 20, -54, 97, -52, -10, -99, -80, 85]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n stk.append(i)\n ans = i = 0\n for j in stk:\n ans += list_1[j] * (j - i)\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "813", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":57,\"native_task_name\":\"maxScore:list\",\"output_value\":813}]"} {"id": "python/single_target_baseline/57/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 57, "target_native_task_name": "maxScore:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-60, 77, 82, 91, 52, 30, 30, 29, 55, 14]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n stk.append(i)\n ans = i = 0\n for j in stk:\n ans += list_1[j] * (j - i)\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "562", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":57,\"native_task_name\":\"maxScore:list\",\"output_value\":562}]"} {"id": "python/single_target_baseline/57/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 57, "target_native_task_name": "maxScore:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [90, 27, -44, -93, 52, -74, -32, 95, 99, -70]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n stk.append(i)\n ans = i = 0\n for j in stk:\n ans += list_1[j] * (j - i)\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "722", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":57,\"native_task_name\":\"maxScore:list\",\"output_value\":722}]"} {"id": "python/single_target_baseline/57/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 57, "target_native_task_name": "maxScore:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [39, 28, 17, 65, 5, -8, -15, -48, -65, 13]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n stk.append(i)\n ans = i = 0\n for j in stk:\n ans += list_1[j] * (j - i)\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "273", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":57,\"native_task_name\":\"maxScore:list\",\"output_value\":273}]"} {"id": "python/single_target_baseline/57/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 57, "target_native_task_name": "maxScore:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-79, -53, 88, 53, -29, 58, -30, 81, 53, 74]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] <= x:\n stk.pop()\n stk.append(i)\n ans = i = 0\n for j in stk:\n ans += list_1[j] * (j - i)\n i = j\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "729", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":57,\"native_task_name\":\"maxScore:list\",\"output_value\":729}]"} {"id": "python/single_target_baseline/58/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 58, "target_native_task_name": "findKthPositive:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [61, -61, -34, -64, -98, 43, 37, -80, -81, 22]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -23.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n if list_1[0] > k:\n python_result_1 = k\n return python_result_1\n (left, right) = (0, len(list_1))\n while left < right:\n mid = left + right >> 1\n if list_1[mid] - mid - 1 >= k:\n right = mid\n else:\n left = mid + 1\n python_result_1 = list_1[left - 1] + k - (list_1[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-23", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":58,\"native_task_name\":\"findKthPositive:list\",\"output_value\":-23}]"} {"id": "python/single_target_baseline/58/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 58, "target_native_task_name": "findKthPositive:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-80, 35, 78, 15, 56, 13, 91, -34, -14, -68]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 95.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n if list_1[0] > k:\n python_result_1 = k\n return python_result_1\n (left, right) = (0, len(list_1))\n while left < right:\n mid = left + right >> 1\n if list_1[mid] - mid - 1 >= k:\n right = mid\n else:\n left = mid + 1\n python_result_1 = list_1[left - 1] + k - (list_1[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "105", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":58,\"native_task_name\":\"findKthPositive:list\",\"output_value\":105}]"} {"id": "python/single_target_baseline/58/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 58, "target_native_task_name": "findKthPositive:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-43, -63, -40, -61, -83, -46, -61, 20, -94, 57]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 26.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n if list_1[0] > k:\n python_result_1 = k\n return python_result_1\n (left, right) = (0, len(list_1))\n while left < right:\n mid = left + right >> 1\n if list_1[mid] - mid - 1 >= k:\n right = mid\n else:\n left = mid + 1\n python_result_1 = list_1[left - 1] + k - (list_1[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "35", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":58,\"native_task_name\":\"findKthPositive:list\",\"output_value\":35}]"} {"id": "python/single_target_baseline/58/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 58, "target_native_task_name": "findKthPositive:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [25, -36, 14, -35, -89, 87, 91, -67, 86, -25]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -64.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n if list_1[0] > k:\n python_result_1 = k\n return python_result_1\n (left, right) = (0, len(list_1))\n while left < right:\n mid = left + right >> 1\n if list_1[mid] - mid - 1 >= k:\n right = mid\n else:\n left = mid + 1\n python_result_1 = list_1[left - 1] + k - (list_1[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-64", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":58,\"native_task_name\":\"findKthPositive:list\",\"output_value\":-64}]"} {"id": "python/single_target_baseline/58/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 58, "target_native_task_name": "findKthPositive:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [91, -77, -92, -91, 48, 83, -69, 18, -65, -98]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 95.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n if list_1[0] > k:\n python_result_1 = k\n return python_result_1\n (left, right) = (0, len(list_1))\n while left < right:\n mid = left + right >> 1\n if list_1[mid] - mid - 1 >= k:\n right = mid\n else:\n left = mid + 1\n python_result_1 = list_1[left - 1] + k - (list_1[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "105", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":58,\"native_task_name\":\"findKthPositive:list\",\"output_value\":105}]"} {"id": "python/single_target_baseline/58/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 58, "target_native_task_name": "findKthPositive:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-84, 2, -87, -32, -41, 76, -86, -72, 46, 21]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -66.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n if list_1[0] > k:\n python_result_1 = k\n return python_result_1\n (left, right) = (0, len(list_1))\n while left < right:\n mid = left + right >> 1\n if list_1[mid] - mid - 1 >= k:\n right = mid\n else:\n left = mid + 1\n python_result_1 = list_1[left - 1] + k - (list_1[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-63", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":58,\"native_task_name\":\"findKthPositive:list\",\"output_value\":-63}]"} {"id": "python/single_target_baseline/58/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 58, "target_native_task_name": "findKthPositive:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-26, -58, -46, 13, -56, 15, -58, -85, 46, -29]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -44.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n if list_1[0] > k:\n python_result_1 = k\n return python_result_1\n (left, right) = (0, len(list_1))\n while left < right:\n mid = left + right >> 1\n if list_1[mid] - mid - 1 >= k:\n right = mid\n else:\n left = mid + 1\n python_result_1 = list_1[left - 1] + k - (list_1[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-44", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":58,\"native_task_name\":\"findKthPositive:list\",\"output_value\":-44}]"} {"id": "python/single_target_baseline/58/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 58, "target_native_task_name": "findKthPositive:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [53, -53, 79, -17, -74, -75, 100, 58, -34, -94]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -92.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n if list_1[0] > k:\n python_result_1 = k\n return python_result_1\n (left, right) = (0, len(list_1))\n while left < right:\n mid = left + right >> 1\n if list_1[mid] - mid - 1 >= k:\n right = mid\n else:\n left = mid + 1\n python_result_1 = list_1[left - 1] + k - (list_1[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-92", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":58,\"native_task_name\":\"findKthPositive:list\",\"output_value\":-92}]"} {"id": "python/single_target_baseline/58/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 58, "target_native_task_name": "findKthPositive:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [1, -85, 85, -57, 6, 2, 55, -80, -1, -55]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 20.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n if list_1[0] > k:\n python_result_1 = k\n return python_result_1\n (left, right) = (0, len(list_1))\n while left < right:\n mid = left + right >> 1\n if list_1[mid] - mid - 1 >= k:\n right = mid\n else:\n left = mid + 1\n python_result_1 = list_1[left - 1] + k - (list_1[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "30", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":58,\"native_task_name\":\"findKthPositive:list\",\"output_value\":30}]"} {"id": "python/single_target_baseline/58/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 58, "target_native_task_name": "findKthPositive:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [81, 53, -75, -7, -8, 19, 100, 44, 88, 73]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -31.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n if list_1[0] > k:\n python_result_1 = k\n return python_result_1\n (left, right) = (0, len(list_1))\n while left < right:\n mid = left + right >> 1\n if list_1[mid] - mid - 1 >= k:\n right = mid\n else:\n left = mid + 1\n python_result_1 = list_1[left - 1] + k - (list_1[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-31", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":58,\"native_task_name\":\"findKthPositive:list\",\"output_value\":-31}]"} {"id": "python/single_target_baseline/58/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 58, "target_native_task_name": "findKthPositive:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-52, 47, 22, -4, -74, -4, -52, 65, -81, -24]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 97.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n if list_1[0] > k:\n python_result_1 = k\n return python_result_1\n (left, right) = (0, len(list_1))\n while left < right:\n mid = left + right >> 1\n if list_1[mid] - mid - 1 >= k:\n right = mid\n else:\n left = mid + 1\n python_result_1 = list_1[left - 1] + k - (list_1[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "107", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":58,\"native_task_name\":\"findKthPositive:list\",\"output_value\":107}]"} {"id": "python/single_target_baseline/58/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 58, "target_native_task_name": "findKthPositive:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [2, 84, -53, -46, -58, 88, 43, 17, -54, -58]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 46.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n if list_1[0] > k:\n python_result_1 = k\n return python_result_1\n (left, right) = (0, len(list_1))\n while left < right:\n mid = left + right >> 1\n if list_1[mid] - mid - 1 >= k:\n right = mid\n else:\n left = mid + 1\n python_result_1 = list_1[left - 1] + k - (list_1[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "51", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":58,\"native_task_name\":\"findKthPositive:list\",\"output_value\":51}]"} {"id": "python/single_target_baseline/58/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 58, "target_native_task_name": "findKthPositive:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [4, 49, -14, -23, 71, 71, -22, 74, 85, 90]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -47.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n if list_1[0] > k:\n python_result_1 = k\n return python_result_1\n (left, right) = (0, len(list_1))\n while left < right:\n mid = left + right >> 1\n if list_1[mid] - mid - 1 >= k:\n right = mid\n else:\n left = mid + 1\n python_result_1 = list_1[left - 1] + k - (list_1[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-47", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":58,\"native_task_name\":\"findKthPositive:list\",\"output_value\":-47}]"} {"id": "python/single_target_baseline/58/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 58, "target_native_task_name": "findKthPositive:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [82, -40, 35, -14, 91, 75, -42, -42, -7, -53]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 12.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n if list_1[0] > k:\n python_result_1 = k\n return python_result_1\n (left, right) = (0, len(list_1))\n while left < right:\n mid = left + right >> 1\n if list_1[mid] - mid - 1 >= k:\n right = mid\n else:\n left = mid + 1\n python_result_1 = list_1[left - 1] + k - (list_1[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "12", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":58,\"native_task_name\":\"findKthPositive:list\",\"output_value\":12}]"} {"id": "python/single_target_baseline/58/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 58, "target_native_task_name": "findKthPositive:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [66, -37, -95, 47, 49, 60, -47, 51, -55, 57]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 80.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n if list_1[0] > k:\n python_result_1 = k\n return python_result_1\n (left, right) = (0, len(list_1))\n while left < right:\n mid = left + right >> 1\n if list_1[mid] - mid - 1 >= k:\n right = mid\n else:\n left = mid + 1\n python_result_1 = list_1[left - 1] + k - (list_1[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "90", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":58,\"native_task_name\":\"findKthPositive:list\",\"output_value\":90}]"} {"id": "python/single_target_baseline/58/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 58, "target_native_task_name": "findKthPositive:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [2, -43, 90, 94, -58, 90, -30, 74, -86, 67]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 53.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n if list_1[0] > k:\n python_result_1 = k\n return python_result_1\n (left, right) = (0, len(list_1))\n while left < right:\n mid = left + right >> 1\n if list_1[mid] - mid - 1 >= k:\n right = mid\n else:\n left = mid + 1\n python_result_1 = list_1[left - 1] + k - (list_1[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "55", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":58,\"native_task_name\":\"findKthPositive:list\",\"output_value\":55}]"} {"id": "python/single_target_baseline/59/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 59, "target_native_task_name": "findKthPositive:scalar", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -20}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-47, -45, -12, -21, -8, -55, 36, -86, -36, -27].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n if arr[0] > val_1:\n python_result_1 = val_1\n return python_result_1\n (left, right) = (0, len(arr))\n while left < right:\n mid = left + right >> 1\n if arr[mid] - mid - 1 >= val_1:\n right = mid\n else:\n left = mid + 1\n python_result_1 = arr[left - 1] + val_1 - (arr[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":59,\"native_task_name\":\"findKthPositive:scalar\",\"output_value\":-10}]"} {"id": "python/single_target_baseline/59/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 59, "target_native_task_name": "findKthPositive:scalar", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 82}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-68, -7, 95, 92, -14, -78, 9, -23, 93, -93].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n if arr[0] > val_1:\n python_result_1 = val_1\n return python_result_1\n (left, right) = (0, len(arr))\n while left < right:\n mid = left + right >> 1\n if arr[mid] - mid - 1 >= val_1:\n right = mid\n else:\n left = mid + 1\n python_result_1 = arr[left - 1] + val_1 - (arr[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "90", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":59,\"native_task_name\":\"findKthPositive:scalar\",\"output_value\":90}]"} {"id": "python/single_target_baseline/59/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 59, "target_native_task_name": "findKthPositive:scalar", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 32}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-21, 97, 97, 30, -67, -67, -11, -8, 67, -16].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n if arr[0] > val_1:\n python_result_1 = val_1\n return python_result_1\n (left, right) = (0, len(arr))\n while left < right:\n mid = left + right >> 1\n if arr[mid] - mid - 1 >= val_1:\n right = mid\n else:\n left = mid + 1\n python_result_1 = arr[left - 1] + val_1 - (arr[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "40", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":59,\"native_task_name\":\"findKthPositive:scalar\",\"output_value\":40}]"} {"id": "python/single_target_baseline/59/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 59, "target_native_task_name": "findKthPositive:scalar", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 77}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-78, -20, -10, 70, -26, -88, -14, -79, 95, 76].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n if arr[0] > val_1:\n python_result_1 = val_1\n return python_result_1\n (left, right) = (0, len(arr))\n while left < right:\n mid = left + right >> 1\n if arr[mid] - mid - 1 >= val_1:\n right = mid\n else:\n left = mid + 1\n python_result_1 = arr[left - 1] + val_1 - (arr[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "85", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":59,\"native_task_name\":\"findKthPositive:scalar\",\"output_value\":85}]"} {"id": "python/single_target_baseline/59/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 59, "target_native_task_name": "findKthPositive:scalar", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -93}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [75, -99, -81, 48, -99, -57, 53, -72, -70, 42].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n if arr[0] > val_1:\n python_result_1 = val_1\n return python_result_1\n (left, right) = (0, len(arr))\n while left < right:\n mid = left + right >> 1\n if arr[mid] - mid - 1 >= val_1:\n right = mid\n else:\n left = mid + 1\n python_result_1 = arr[left - 1] + val_1 - (arr[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-93", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":59,\"native_task_name\":\"findKthPositive:scalar\",\"output_value\":-93}]"} {"id": "python/single_target_baseline/59/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 59, "target_native_task_name": "findKthPositive:scalar", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -16}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-61, -4, 1, -11, 80, -77, -12, -80, -67, 62].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n if arr[0] > val_1:\n python_result_1 = val_1\n return python_result_1\n (left, right) = (0, len(arr))\n while left < right:\n mid = left + right >> 1\n if arr[mid] - mid - 1 >= val_1:\n right = mid\n else:\n left = mid + 1\n python_result_1 = arr[left - 1] + val_1 - (arr[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":59,\"native_task_name\":\"findKthPositive:scalar\",\"output_value\":-7}]"} {"id": "python/single_target_baseline/59/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 59, "target_native_task_name": "findKthPositive:scalar", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -20}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [49, 57, 21, 29, 95, 73, -53, -2, -49, -16].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n if arr[0] > val_1:\n python_result_1 = val_1\n return python_result_1\n (left, right) = (0, len(arr))\n while left < right:\n mid = left + right >> 1\n if arr[mid] - mid - 1 >= val_1:\n right = mid\n else:\n left = mid + 1\n python_result_1 = arr[left - 1] + val_1 - (arr[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-20", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":59,\"native_task_name\":\"findKthPositive:scalar\",\"output_value\":-20}]"} {"id": "python/single_target_baseline/59/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 59, "target_native_task_name": "findKthPositive:scalar", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 59}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-63, 94, -75, 66, -28, -25, 83, -58, -39, -51].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n if arr[0] > val_1:\n python_result_1 = val_1\n return python_result_1\n (left, right) = (0, len(arr))\n while left < right:\n mid = left + right >> 1\n if arr[mid] - mid - 1 >= val_1:\n right = mid\n else:\n left = mid + 1\n python_result_1 = arr[left - 1] + val_1 - (arr[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "69", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":59,\"native_task_name\":\"findKthPositive:scalar\",\"output_value\":69}]"} {"id": "python/single_target_baseline/59/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 59, "target_native_task_name": "findKthPositive:scalar", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 80}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-15, 35, 16, -9, 21, 40, 52, 43, -63, -75].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n if arr[0] > val_1:\n python_result_1 = val_1\n return python_result_1\n (left, right) = (0, len(arr))\n while left < right:\n mid = left + right >> 1\n if arr[mid] - mid - 1 >= val_1:\n right = mid\n else:\n left = mid + 1\n python_result_1 = arr[left - 1] + val_1 - (arr[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "90", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":59,\"native_task_name\":\"findKthPositive:scalar\",\"output_value\":90}]"} {"id": "python/single_target_baseline/59/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 59, "target_native_task_name": "findKthPositive:scalar", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -60}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [52, -18, 27, -4, 92, 4, 10, 90, -32, -75].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n if arr[0] > val_1:\n python_result_1 = val_1\n return python_result_1\n (left, right) = (0, len(arr))\n while left < right:\n mid = left + right >> 1\n if arr[mid] - mid - 1 >= val_1:\n right = mid\n else:\n left = mid + 1\n python_result_1 = arr[left - 1] + val_1 - (arr[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-60", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":59,\"native_task_name\":\"findKthPositive:scalar\",\"output_value\":-60}]"} {"id": "python/single_target_baseline/59/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 59, "target_native_task_name": "findKthPositive:scalar", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 27}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [100, 84, 85, 46, -85, -94, -20, -56, -89, 42].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n if arr[0] > val_1:\n python_result_1 = val_1\n return python_result_1\n (left, right) = (0, len(arr))\n while left < right:\n mid = left + right >> 1\n if arr[mid] - mid - 1 >= val_1:\n right = mid\n else:\n left = mid + 1\n python_result_1 = arr[left - 1] + val_1 - (arr[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "27", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":59,\"native_task_name\":\"findKthPositive:scalar\",\"output_value\":27}]"} {"id": "python/single_target_baseline/59/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 59, "target_native_task_name": "findKthPositive:scalar", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -76}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-1, 60, 19, 14, 17, -17, -38, 68, -31, 29].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n if arr[0] > val_1:\n python_result_1 = val_1\n return python_result_1\n (left, right) = (0, len(arr))\n while left < right:\n mid = left + right >> 1\n if arr[mid] - mid - 1 >= val_1:\n right = mid\n else:\n left = mid + 1\n python_result_1 = arr[left - 1] + val_1 - (arr[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-76", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":59,\"native_task_name\":\"findKthPositive:scalar\",\"output_value\":-76}]"} {"id": "python/single_target_baseline/59/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 59, "target_native_task_name": "findKthPositive:scalar", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 95}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-51, 40, -7, -91, -27, -36, 61, -19, 90, -39].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n if arr[0] > val_1:\n python_result_1 = val_1\n return python_result_1\n (left, right) = (0, len(arr))\n while left < right:\n mid = left + right >> 1\n if arr[mid] - mid - 1 >= val_1:\n right = mid\n else:\n left = mid + 1\n python_result_1 = arr[left - 1] + val_1 - (arr[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "105", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":59,\"native_task_name\":\"findKthPositive:scalar\",\"output_value\":105}]"} {"id": "python/single_target_baseline/59/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 59, "target_native_task_name": "findKthPositive:scalar", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -12}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-39, -75, -13, -96, 60, -46, -33, -44, -11, 93].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n if arr[0] > val_1:\n python_result_1 = val_1\n return python_result_1\n (left, right) = (0, len(arr))\n while left < right:\n mid = left + right >> 1\n if arr[mid] - mid - 1 >= val_1:\n right = mid\n else:\n left = mid + 1\n python_result_1 = arr[left - 1] + val_1 - (arr[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":59,\"native_task_name\":\"findKthPositive:scalar\",\"output_value\":-3}]"} {"id": "python/single_target_baseline/59/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 59, "target_native_task_name": "findKthPositive:scalar", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -19}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [1, -7, 46, 77, 77, 32, -30, 21, -84, 6].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n if arr[0] > val_1:\n python_result_1 = val_1\n return python_result_1\n (left, right) = (0, len(arr))\n while left < right:\n mid = left + right >> 1\n if arr[mid] - mid - 1 >= val_1:\n right = mid\n else:\n left = mid + 1\n python_result_1 = arr[left - 1] + val_1 - (arr[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-19", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":59,\"native_task_name\":\"findKthPositive:scalar\",\"output_value\":-19}]"} {"id": "python/single_target_baseline/59/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 59, "target_native_task_name": "findKthPositive:scalar", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -73}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_arr_static = [-48, -55, -2, -31, 31, 81, 17, 23, 84, -94].\nTrace the execution of task_1 with inputs arr = task_1_arr_static.\n```python\nfrom typing import List\ndef task_1(arr: List[int], val_1: int) -> int:\n if arr[0] > val_1:\n python_result_1 = val_1\n return python_result_1\n (left, right) = (0, len(arr))\n while left < right:\n mid = left + right >> 1\n if arr[mid] - mid - 1 >= val_1:\n right = mid\n else:\n left = mid + 1\n python_result_1 = arr[left - 1] + val_1 - (arr[left - 1] - (left - 1) - 1)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-73", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":59,\"native_task_name\":\"findKthPositive:scalar\",\"output_value\":-73}]"} {"id": "python/single_target_baseline/60/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 60, "target_native_task_name": "countQuadruplets:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [80, -91, 21, -4, -43, -20, -63, -55, -11, 68]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n g = [[0] * n for _ in range(n)]\n for j in range(1, n - 2):\n cnt = sum((list_1[l] > list_1[j] for l in range(j + 1, n)))\n for k in range(j + 1, n - 1):\n if list_1[j] > list_1[k]:\n f[j][k] = cnt\n else:\n cnt -= 1\n for k in range(2, n - 1):\n cnt = sum((list_1[i] < list_1[k] for i in range(k)))\n for j in range(k - 1, 0, -1):\n if list_1[j] > list_1[k]:\n g[j][k] = cnt\n else:\n cnt -= 1\n python_result_1 = sum((f[j][k] * g[j][k] for j in range(1, n - 2) for k in range(j + 1, n - 1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "19", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":60,\"native_task_name\":\"countQuadruplets:list\",\"output_value\":19}]"} {"id": "python/single_target_baseline/60/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 60, "target_native_task_name": "countQuadruplets:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-96, 14, -56, -41, 95, 57, -25, 100, -84, 91]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n g = [[0] * n for _ in range(n)]\n for j in range(1, n - 2):\n cnt = sum((list_1[l] > list_1[j] for l in range(j + 1, n)))\n for k in range(j + 1, n - 1):\n if list_1[j] > list_1[k]:\n f[j][k] = cnt\n else:\n cnt -= 1\n for k in range(2, n - 1):\n cnt = sum((list_1[i] < list_1[k] for i in range(k)))\n for j in range(k - 1, 0, -1):\n if list_1[j] > list_1[k]:\n g[j][k] = cnt\n else:\n cnt -= 1\n python_result_1 = sum((f[j][k] * g[j][k] for j in range(1, n - 2) for k in range(j + 1, n - 1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "20", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":60,\"native_task_name\":\"countQuadruplets:list\",\"output_value\":20}]"} {"id": "python/single_target_baseline/60/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 60, "target_native_task_name": "countQuadruplets:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [80, -53, -44, 2, -4, 7, -62, 84, -57, -87]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n g = [[0] * n for _ in range(n)]\n for j in range(1, n - 2):\n cnt = sum((list_1[l] > list_1[j] for l in range(j + 1, n)))\n for k in range(j + 1, n - 1):\n if list_1[j] > list_1[k]:\n f[j][k] = cnt\n else:\n cnt -= 1\n for k in range(2, n - 1):\n cnt = sum((list_1[i] < list_1[k] for i in range(k)))\n for j in range(k - 1, 0, -1):\n if list_1[j] > list_1[k]:\n g[j][k] = cnt\n else:\n cnt -= 1\n python_result_1 = sum((f[j][k] * g[j][k] for j in range(1, n - 2) for k in range(j + 1, n - 1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":60,\"native_task_name\":\"countQuadruplets:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/60/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 60, "target_native_task_name": "countQuadruplets:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-96, 5, 56, -21, -68, -100, 61, 76, -54, -92]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n g = [[0] * n for _ in range(n)]\n for j in range(1, n - 2):\n cnt = sum((list_1[l] > list_1[j] for l in range(j + 1, n)))\n for k in range(j + 1, n - 1):\n if list_1[j] > list_1[k]:\n f[j][k] = cnt\n else:\n cnt -= 1\n for k in range(2, n - 1):\n cnt = sum((list_1[i] < list_1[k] for i in range(k)))\n for j in range(k - 1, 0, -1):\n if list_1[j] > list_1[k]:\n g[j][k] = cnt\n else:\n cnt -= 1\n python_result_1 = sum((f[j][k] * g[j][k] for j in range(1, n - 2) for k in range(j + 1, n - 1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "15", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":60,\"native_task_name\":\"countQuadruplets:list\",\"output_value\":15}]"} {"id": "python/single_target_baseline/60/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 60, "target_native_task_name": "countQuadruplets:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-79, 71, -66, -16, -45, -13, -14, 4, -7, 86]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n g = [[0] * n for _ in range(n)]\n for j in range(1, n - 2):\n cnt = sum((list_1[l] > list_1[j] for l in range(j + 1, n)))\n for k in range(j + 1, n - 1):\n if list_1[j] > list_1[k]:\n f[j][k] = cnt\n else:\n cnt -= 1\n for k in range(2, n - 1):\n cnt = sum((list_1[i] < list_1[k] for i in range(k)))\n for j in range(k - 1, 0, -1):\n if list_1[j] > list_1[k]:\n g[j][k] = cnt\n else:\n cnt -= 1\n python_result_1 = sum((f[j][k] * g[j][k] for j in range(1, n - 2) for k in range(j + 1, n - 1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "35", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":60,\"native_task_name\":\"countQuadruplets:list\",\"output_value\":35}]"} {"id": "python/single_target_baseline/60/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 60, "target_native_task_name": "countQuadruplets:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [1, -3, 7, -100, -37, 9, 59, 75, -5, 33]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n g = [[0] * n for _ in range(n)]\n for j in range(1, n - 2):\n cnt = sum((list_1[l] > list_1[j] for l in range(j + 1, n)))\n for k in range(j + 1, n - 1):\n if list_1[j] > list_1[k]:\n f[j][k] = cnt\n else:\n cnt -= 1\n for k in range(2, n - 1):\n cnt = sum((list_1[i] < list_1[k] for i in range(k)))\n for j in range(k - 1, 0, -1):\n if list_1[j] > list_1[k]:\n g[j][k] = cnt\n else:\n cnt -= 1\n python_result_1 = sum((f[j][k] * g[j][k] for j in range(1, n - 2) for k in range(j + 1, n - 1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":60,\"native_task_name\":\"countQuadruplets:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/60/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 60, "target_native_task_name": "countQuadruplets:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-15, 24, 59, 47, -48, 60, -86, 19, -89, -24]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n g = [[0] * n for _ in range(n)]\n for j in range(1, n - 2):\n cnt = sum((list_1[l] > list_1[j] for l in range(j + 1, n)))\n for k in range(j + 1, n - 1):\n if list_1[j] > list_1[k]:\n f[j][k] = cnt\n else:\n cnt -= 1\n for k in range(2, n - 1):\n cnt = sum((list_1[i] < list_1[k] for i in range(k)))\n for j in range(k - 1, 0, -1):\n if list_1[j] > list_1[k]:\n g[j][k] = cnt\n else:\n cnt -= 1\n python_result_1 = sum((f[j][k] * g[j][k] for j in range(1, n - 2) for k in range(j + 1, n - 1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":60,\"native_task_name\":\"countQuadruplets:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/60/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 60, "target_native_task_name": "countQuadruplets:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-69, -15, 8, 97, 8, 62, -20, 37, 71, -67]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n g = [[0] * n for _ in range(n)]\n for j in range(1, n - 2):\n cnt = sum((list_1[l] > list_1[j] for l in range(j + 1, n)))\n for k in range(j + 1, n - 1):\n if list_1[j] > list_1[k]:\n f[j][k] = cnt\n else:\n cnt -= 1\n for k in range(2, n - 1):\n cnt = sum((list_1[i] < list_1[k] for i in range(k)))\n for j in range(k - 1, 0, -1):\n if list_1[j] > list_1[k]:\n g[j][k] = cnt\n else:\n cnt -= 1\n python_result_1 = sum((f[j][k] * g[j][k] for j in range(1, n - 2) for k in range(j + 1, n - 1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":60,\"native_task_name\":\"countQuadruplets:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/60/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 60, "target_native_task_name": "countQuadruplets:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-39, 32, 55, 59, 49, -65, -93, -47, -57, 71]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n g = [[0] * n for _ in range(n)]\n for j in range(1, n - 2):\n cnt = sum((list_1[l] > list_1[j] for l in range(j + 1, n)))\n for k in range(j + 1, n - 1):\n if list_1[j] > list_1[k]:\n f[j][k] = cnt\n else:\n cnt -= 1\n for k in range(2, n - 1):\n cnt = sum((list_1[i] < list_1[k] for i in range(k)))\n for j in range(k - 1, 0, -1):\n if list_1[j] > list_1[k]:\n g[j][k] = cnt\n else:\n cnt -= 1\n python_result_1 = sum((f[j][k] * g[j][k] for j in range(1, n - 2) for k in range(j + 1, n - 1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":60,\"native_task_name\":\"countQuadruplets:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/60/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 60, "target_native_task_name": "countQuadruplets:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [42, -97, -16, -29, 46, 97, 30, -63, 40, 67]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n g = [[0] * n for _ in range(n)]\n for j in range(1, n - 2):\n cnt = sum((list_1[l] > list_1[j] for l in range(j + 1, n)))\n for k in range(j + 1, n - 1):\n if list_1[j] > list_1[k]:\n f[j][k] = cnt\n else:\n cnt -= 1\n for k in range(2, n - 1):\n cnt = sum((list_1[i] < list_1[k] for i in range(k)))\n for j in range(k - 1, 0, -1):\n if list_1[j] > list_1[k]:\n g[j][k] = cnt\n else:\n cnt -= 1\n python_result_1 = sum((f[j][k] * g[j][k] for j in range(1, n - 2) for k in range(j + 1, n - 1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "18", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":60,\"native_task_name\":\"countQuadruplets:list\",\"output_value\":18}]"} {"id": "python/single_target_baseline/60/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 60, "target_native_task_name": "countQuadruplets:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [25, 28, -87, 24, -3, 19, 7, -26, 78, -68]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n g = [[0] * n for _ in range(n)]\n for j in range(1, n - 2):\n cnt = sum((list_1[l] > list_1[j] for l in range(j + 1, n)))\n for k in range(j + 1, n - 1):\n if list_1[j] > list_1[k]:\n f[j][k] = cnt\n else:\n cnt -= 1\n for k in range(2, n - 1):\n cnt = sum((list_1[i] < list_1[k] for i in range(k)))\n for j in range(k - 1, 0, -1):\n if list_1[j] > list_1[k]:\n g[j][k] = cnt\n else:\n cnt -= 1\n python_result_1 = sum((f[j][k] * g[j][k] for j in range(1, n - 2) for k in range(j + 1, n - 1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":60,\"native_task_name\":\"countQuadruplets:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/60/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 60, "target_native_task_name": "countQuadruplets:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [15, -74, 17, 66, -7, -83, 88, -17, -70, 37]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n g = [[0] * n for _ in range(n)]\n for j in range(1, n - 2):\n cnt = sum((list_1[l] > list_1[j] for l in range(j + 1, n)))\n for k in range(j + 1, n - 1):\n if list_1[j] > list_1[k]:\n f[j][k] = cnt\n else:\n cnt -= 1\n for k in range(2, n - 1):\n cnt = sum((list_1[i] < list_1[k] for i in range(k)))\n for j in range(k - 1, 0, -1):\n if list_1[j] > list_1[k]:\n g[j][k] = cnt\n else:\n cnt -= 1\n python_result_1 = sum((f[j][k] * g[j][k] for j in range(1, n - 2) for k in range(j + 1, n - 1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":60,\"native_task_name\":\"countQuadruplets:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/60/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 60, "target_native_task_name": "countQuadruplets:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-95, -2, -74, -14, -36, -28, -41, 81, 60, -51]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n g = [[0] * n for _ in range(n)]\n for j in range(1, n - 2):\n cnt = sum((list_1[l] > list_1[j] for l in range(j + 1, n)))\n for k in range(j + 1, n - 1):\n if list_1[j] > list_1[k]:\n f[j][k] = cnt\n else:\n cnt -= 1\n for k in range(2, n - 1):\n cnt = sum((list_1[i] < list_1[k] for i in range(k)))\n for j in range(k - 1, 0, -1):\n if list_1[j] > list_1[k]:\n g[j][k] = cnt\n else:\n cnt -= 1\n python_result_1 = sum((f[j][k] * g[j][k] for j in range(1, n - 2) for k in range(j + 1, n - 1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "30", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":60,\"native_task_name\":\"countQuadruplets:list\",\"output_value\":30}]"} {"id": "python/single_target_baseline/60/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 60, "target_native_task_name": "countQuadruplets:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [26, -10, -69, -33, 29, 38, 72, 15, -58, 93]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n g = [[0] * n for _ in range(n)]\n for j in range(1, n - 2):\n cnt = sum((list_1[l] > list_1[j] for l in range(j + 1, n)))\n for k in range(j + 1, n - 1):\n if list_1[j] > list_1[k]:\n f[j][k] = cnt\n else:\n cnt -= 1\n for k in range(2, n - 1):\n cnt = sum((list_1[i] < list_1[k] for i in range(k)))\n for j in range(k - 1, 0, -1):\n if list_1[j] > list_1[k]:\n g[j][k] = cnt\n else:\n cnt -= 1\n python_result_1 = sum((f[j][k] * g[j][k] for j in range(1, n - 2) for k in range(j + 1, n - 1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "14", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":60,\"native_task_name\":\"countQuadruplets:list\",\"output_value\":14}]"} {"id": "python/single_target_baseline/60/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 60, "target_native_task_name": "countQuadruplets:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [60, -80, 26, 4, -52, 99, 79, 88, 50, 11]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n g = [[0] * n for _ in range(n)]\n for j in range(1, n - 2):\n cnt = sum((list_1[l] > list_1[j] for l in range(j + 1, n)))\n for k in range(j + 1, n - 1):\n if list_1[j] > list_1[k]:\n f[j][k] = cnt\n else:\n cnt -= 1\n for k in range(2, n - 1):\n cnt = sum((list_1[i] < list_1[k] for i in range(k)))\n for j in range(k - 1, 0, -1):\n if list_1[j] > list_1[k]:\n g[j][k] = cnt\n else:\n cnt -= 1\n python_result_1 = sum((f[j][k] * g[j][k] for j in range(1, n - 2) for k in range(j + 1, n - 1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "13", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":60,\"native_task_name\":\"countQuadruplets:list\",\"output_value\":13}]"} {"id": "python/single_target_baseline/60/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 60, "target_native_task_name": "countQuadruplets:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-56, 17, -14, -87, 14, -1, -100, 86, 25, -88]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [[0] * n for _ in range(n)]\n g = [[0] * n for _ in range(n)]\n for j in range(1, n - 2):\n cnt = sum((list_1[l] > list_1[j] for l in range(j + 1, n)))\n for k in range(j + 1, n - 1):\n if list_1[j] > list_1[k]:\n f[j][k] = cnt\n else:\n cnt -= 1\n for k in range(2, n - 1):\n cnt = sum((list_1[i] < list_1[k] for i in range(k)))\n for j in range(k - 1, 0, -1):\n if list_1[j] > list_1[k]:\n g[j][k] = cnt\n else:\n cnt -= 1\n python_result_1 = sum((f[j][k] * g[j][k] for j in range(1, n - 2) for k in range(j + 1, n - 1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "20", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":60,\"native_task_name\":\"countQuadruplets:list\",\"output_value\":20}]"} {"id": "python/single_target_baseline/61/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 61, "target_native_task_name": "sumSubarrayMins:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-87, -89, 3, -42, 23, 38, -100, 27, 4, 38]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, v) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] > list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n mod = 10 ** 9 + 7\n python_result_1 = sum(((i - left[i]) * (right[i] - i) * v for (i, v) in enumerate(list_1))) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "999997898", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":61,\"native_task_name\":\"sumSubarrayMins:list\",\"output_value\":999997898}]"} {"id": "python/single_target_baseline/61/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 61, "target_native_task_name": "sumSubarrayMins:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-55, 92, 3, -45, -28, 58, 91, -32, -73, -41]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, v) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] > list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n mod = 10 ** 9 + 7\n python_result_1 = sum(((i - left[i]) * (right[i] - i) * v for (i, v) in enumerate(list_1))) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "999997630", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":61,\"native_task_name\":\"sumSubarrayMins:list\",\"output_value\":999997630}]"} {"id": "python/single_target_baseline/61/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 61, "target_native_task_name": "sumSubarrayMins:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [66, -92, 9, 11, 77, -37, 67, -25, -54, 74]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, v) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] > list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n mod = 10 ** 9 + 7\n python_result_1 = sum(((i - left[i]) * (right[i] - i) * v for (i, v) in enumerate(list_1))) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "999997434", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":61,\"native_task_name\":\"sumSubarrayMins:list\",\"output_value\":999997434}]"} {"id": "python/single_target_baseline/61/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 61, "target_native_task_name": "sumSubarrayMins:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [28, 47, 5, 99, 56, 30, 38, -39, -83, -60]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, v) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] > list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n mod = 10 ** 9 + 7\n python_result_1 = sum(((i - left[i]) * (right[i] - i) * v for (i, v) in enumerate(list_1))) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "999998748", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":61,\"native_task_name\":\"sumSubarrayMins:list\",\"output_value\":999998748}]"} {"id": "python/single_target_baseline/61/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 61, "target_native_task_name": "sumSubarrayMins:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [3, -13, -43, 8, -77, -4, 63, 99, -11, -66]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, v) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] > list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n mod = 10 ** 9 + 7\n python_result_1 = sum(((i - left[i]) * (right[i] - i) * v for (i, v) in enumerate(list_1))) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "999997263", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":61,\"native_task_name\":\"sumSubarrayMins:list\",\"output_value\":999997263}]"} {"id": "python/single_target_baseline/61/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 61, "target_native_task_name": "sumSubarrayMins:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-96, -15, 46, -71, 24, -51, 87, -65, -79, -10]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, v) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] > list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n mod = 10 ** 9 + 7\n python_result_1 = sum(((i - left[i]) * (right[i] - i) * v for (i, v) in enumerate(list_1))) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "999996371", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":61,\"native_task_name\":\"sumSubarrayMins:list\",\"output_value\":999996371}]"} {"id": "python/single_target_baseline/61/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 61, "target_native_task_name": "sumSubarrayMins:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-47, -73, -76, -35, -31, -70, -89, 77, 99, 14]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, v) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] > list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n mod = 10 ** 9 + 7\n python_result_1 = sum(((i - left[i]) * (right[i] - i) * v for (i, v) in enumerate(list_1))) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "999996394", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":61,\"native_task_name\":\"sumSubarrayMins:list\",\"output_value\":999996394}]"} {"id": "python/single_target_baseline/61/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 61, "target_native_task_name": "sumSubarrayMins:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-50, -15, 96, 69, 49, 60, 90, -20, 51, -38]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, v) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] > list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n mod = 10 ** 9 + 7\n python_result_1 = sum(((i - left[i]) * (right[i] - i) * v for (i, v) in enumerate(list_1))) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "999999731", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":61,\"native_task_name\":\"sumSubarrayMins:list\",\"output_value\":999999731}]"} {"id": "python/single_target_baseline/61/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 61, "target_native_task_name": "sumSubarrayMins:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-72, -1, 13, -36, -2, 100, 81, 90, 97, -62]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, v) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] > list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n mod = 10 ** 9 + 7\n python_result_1 = sum(((i - left[i]) * (right[i] - i) * v for (i, v) in enumerate(list_1))) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "999998602", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":61,\"native_task_name\":\"sumSubarrayMins:list\",\"output_value\":999998602}]"} {"id": "python/single_target_baseline/61/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 61, "target_native_task_name": "sumSubarrayMins:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-20, 97, 54, -39, -58, 24, 53, 20, -74, 84]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, v) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] > list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n mod = 10 ** 9 + 7\n python_result_1 = sum(((i - left[i]) * (right[i] - i) * v for (i, v) in enumerate(list_1))) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "999997749", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":61,\"native_task_name\":\"sumSubarrayMins:list\",\"output_value\":999997749}]"} {"id": "python/single_target_baseline/61/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 61, "target_native_task_name": "sumSubarrayMins:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-43, -21, 90, -35, 13, 78, -32, 27, 11, 13]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, v) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] > list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n mod = 10 ** 9 + 7\n python_result_1 = sum(((i - left[i]) * (right[i] - i) * v for (i, v) in enumerate(list_1))) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "999998694", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":61,\"native_task_name\":\"sumSubarrayMins:list\",\"output_value\":999998694}]"} {"id": "python/single_target_baseline/61/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 61, "target_native_task_name": "sumSubarrayMins:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-13, -36, 41, -11, -27, -85, -59, -58, -100, -77]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, v) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] > list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n mod = 10 ** 9 + 7\n python_result_1 = sum(((i - left[i]) * (right[i] - i) * v for (i, v) in enumerate(list_1))) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "999996493", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":61,\"native_task_name\":\"sumSubarrayMins:list\",\"output_value\":999996493}]"} {"id": "python/single_target_baseline/61/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 61, "target_native_task_name": "sumSubarrayMins:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [10, -4, 84, 35, -87, -97, 62, -24, -57, 41]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, v) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] > list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n mod = 10 ** 9 + 7\n python_result_1 = sum(((i - left[i]) * (right[i] - i) * v for (i, v) in enumerate(list_1))) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "999996515", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":61,\"native_task_name\":\"sumSubarrayMins:list\",\"output_value\":999996515}]"} {"id": "python/single_target_baseline/61/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 61, "target_native_task_name": "sumSubarrayMins:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-30, 85, -98, 15, 77, 58, -63, 63, 42, 85]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, v) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] > list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n mod = 10 ** 9 + 7\n python_result_1 = sum(((i - left[i]) * (right[i] - i) * v for (i, v) in enumerate(list_1))) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "999997226", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":61,\"native_task_name\":\"sumSubarrayMins:list\",\"output_value\":999997226}]"} {"id": "python/single_target_baseline/61/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 61, "target_native_task_name": "sumSubarrayMins:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [37, 56, 32, 50, 73, 72, 97, -97, 23, -23]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, v) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] > list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n mod = 10 ** 9 + 7\n python_result_1 = sum(((i - left[i]) * (right[i] - i) * v for (i, v) in enumerate(list_1))) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "999998924", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":61,\"native_task_name\":\"sumSubarrayMins:list\",\"output_value\":999998924}]"} {"id": "python/single_target_baseline/61/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 61, "target_native_task_name": "sumSubarrayMins:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [4, -99, 17, -68, 53, -67, -100, 62, 90, 17]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n left = [-1] * n\n right = [n] * n\n stk = []\n for (i, v) in enumerate(list_1):\n while stk and list_1[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] > list_1[i]:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n mod = 10 ** 9 + 7\n python_result_1 = sum(((i - left[i]) * (right[i] - i) * v for (i, v) in enumerate(list_1))) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "999996942", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":61,\"native_task_name\":\"sumSubarrayMins:list\",\"output_value\":999996942}]"} {"id": "python/single_target_baseline/62/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 62, "target_native_task_name": "numFactoredBinaryTrees:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [99, -6, -98, 62, 43, 21, 79, 17, 65, -97]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n mod = 10 ** 9 + 7\n n = len(list_1)\n list_1.sort()\n idx = {v: i for (i, v) in enumerate(list_1)}\n f = [1] * n\n for (i, a) in enumerate(list_1):\n for j in range(i):\n b = list_1[j]\n if a % b == 0 and (c := (a // b)) in idx:\n f[i] = (f[i] + f[j] * f[idx[c]]) % mod\n python_result_1 = sum(f) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":62,\"native_task_name\":\"numFactoredBinaryTrees:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/62/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 62, "target_native_task_name": "numFactoredBinaryTrees:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [36, -80, -20, 71, 27, 99, 82, -72, 23, 24]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n mod = 10 ** 9 + 7\n n = len(list_1)\n list_1.sort()\n idx = {v: i for (i, v) in enumerate(list_1)}\n f = [1] * n\n for (i, a) in enumerate(list_1):\n for j in range(i):\n b = list_1[j]\n if a % b == 0 and (c := (a // b)) in idx:\n f[i] = (f[i] + f[j] * f[idx[c]]) % mod\n python_result_1 = sum(f) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":62,\"native_task_name\":\"numFactoredBinaryTrees:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/62/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 62, "target_native_task_name": "numFactoredBinaryTrees:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [92, -80, -2, 36, -27, 34, -45, -92, 7, -17]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n mod = 10 ** 9 + 7\n n = len(list_1)\n list_1.sort()\n idx = {v: i for (i, v) in enumerate(list_1)}\n f = [1] * n\n for (i, a) in enumerate(list_1):\n for j in range(i):\n b = list_1[j]\n if a % b == 0 and (c := (a // b)) in idx:\n f[i] = (f[i] + f[j] * f[idx[c]]) % mod\n python_result_1 = sum(f) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "12", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":62,\"native_task_name\":\"numFactoredBinaryTrees:list\",\"output_value\":12}]"} {"id": "python/single_target_baseline/62/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 62, "target_native_task_name": "numFactoredBinaryTrees:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [54, -18, 87, -38, 42, -97, 89, -43, 22, -14]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n mod = 10 ** 9 + 7\n n = len(list_1)\n list_1.sort()\n idx = {v: i for (i, v) in enumerate(list_1)}\n f = [1] * n\n for (i, a) in enumerate(list_1):\n for j in range(i):\n b = list_1[j]\n if a % b == 0 and (c := (a // b)) in idx:\n f[i] = (f[i] + f[j] * f[idx[c]]) % mod\n python_result_1 = sum(f) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":62,\"native_task_name\":\"numFactoredBinaryTrees:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/62/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 62, "target_native_task_name": "numFactoredBinaryTrees:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-55, 97, 59, 90, 70, 11, -76, -95, -97, 46]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n mod = 10 ** 9 + 7\n n = len(list_1)\n list_1.sort()\n idx = {v: i for (i, v) in enumerate(list_1)}\n f = [1] * n\n for (i, a) in enumerate(list_1):\n for j in range(i):\n b = list_1[j]\n if a % b == 0 and (c := (a // b)) in idx:\n f[i] = (f[i] + f[j] * f[idx[c]]) % mod\n python_result_1 = sum(f) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":62,\"native_task_name\":\"numFactoredBinaryTrees:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/62/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 62, "target_native_task_name": "numFactoredBinaryTrees:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [83, 62, 45, 15, -83, 7, -19, 19, 44, 41]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n mod = 10 ** 9 + 7\n n = len(list_1)\n list_1.sort()\n idx = {v: i for (i, v) in enumerate(list_1)}\n f = [1] * n\n for (i, a) in enumerate(list_1):\n for j in range(i):\n b = list_1[j]\n if a % b == 0 and (c := (a // b)) in idx:\n f[i] = (f[i] + f[j] * f[idx[c]]) % mod\n python_result_1 = sum(f) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":62,\"native_task_name\":\"numFactoredBinaryTrees:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/62/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 62, "target_native_task_name": "numFactoredBinaryTrees:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [33, -57, 2, -32, 62, -70, 67, -82, 97, -24]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n mod = 10 ** 9 + 7\n n = len(list_1)\n list_1.sort()\n idx = {v: i for (i, v) in enumerate(list_1)}\n f = [1] * n\n for (i, a) in enumerate(list_1):\n for j in range(i):\n b = list_1[j]\n if a % b == 0 and (c := (a // b)) in idx:\n f[i] = (f[i] + f[j] * f[idx[c]]) % mod\n python_result_1 = sum(f) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":62,\"native_task_name\":\"numFactoredBinaryTrees:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/62/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 62, "target_native_task_name": "numFactoredBinaryTrees:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-75, -68, -40, 50, -14, 33, -15, 66, 66, 77]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n mod = 10 ** 9 + 7\n n = len(list_1)\n list_1.sort()\n idx = {v: i for (i, v) in enumerate(list_1)}\n f = [1] * n\n for (i, a) in enumerate(list_1):\n for j in range(i):\n b = list_1[j]\n if a % b == 0 and (c := (a // b)) in idx:\n f[i] = (f[i] + f[j] * f[idx[c]]) % mod\n python_result_1 = sum(f) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":62,\"native_task_name\":\"numFactoredBinaryTrees:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/62/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 62, "target_native_task_name": "numFactoredBinaryTrees:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [39, 65, -94, 27, -86, 22, 79, 36, 73, 26]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n mod = 10 ** 9 + 7\n n = len(list_1)\n list_1.sort()\n idx = {v: i for (i, v) in enumerate(list_1)}\n f = [1] * n\n for (i, a) in enumerate(list_1):\n for j in range(i):\n b = list_1[j]\n if a % b == 0 and (c := (a // b)) in idx:\n f[i] = (f[i] + f[j] * f[idx[c]]) % mod\n python_result_1 = sum(f) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":62,\"native_task_name\":\"numFactoredBinaryTrees:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/62/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 62, "target_native_task_name": "numFactoredBinaryTrees:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-63, -69, -98, 34, 98, -14, -62, -49, 49, -56]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n mod = 10 ** 9 + 7\n n = len(list_1)\n list_1.sort()\n idx = {v: i for (i, v) in enumerate(list_1)}\n f = [1] * n\n for (i, a) in enumerate(list_1):\n for j in range(i):\n b = list_1[j]\n if a % b == 0 and (c := (a // b)) in idx:\n f[i] = (f[i] + f[j] * f[idx[c]]) % mod\n python_result_1 = sum(f) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":62,\"native_task_name\":\"numFactoredBinaryTrees:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/62/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 62, "target_native_task_name": "numFactoredBinaryTrees:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-21, -32, -30, 38, -72, 58, 41, 33, -60, -17]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n mod = 10 ** 9 + 7\n n = len(list_1)\n list_1.sort()\n idx = {v: i for (i, v) in enumerate(list_1)}\n f = [1] * n\n for (i, a) in enumerate(list_1):\n for j in range(i):\n b = list_1[j]\n if a % b == 0 and (c := (a // b)) in idx:\n f[i] = (f[i] + f[j] * f[idx[c]]) % mod\n python_result_1 = sum(f) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":62,\"native_task_name\":\"numFactoredBinaryTrees:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/62/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 62, "target_native_task_name": "numFactoredBinaryTrees:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [64, 80, 58, -1, 67, 87, -50, 29, -87, 47]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n mod = 10 ** 9 + 7\n n = len(list_1)\n list_1.sort()\n idx = {v: i for (i, v) in enumerate(list_1)}\n f = [1] * n\n for (i, a) in enumerate(list_1):\n for j in range(i):\n b = list_1[j]\n if a % b == 0 and (c := (a // b)) in idx:\n f[i] = (f[i] + f[j] * f[idx[c]]) % mod\n python_result_1 = sum(f) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "12", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":62,\"native_task_name\":\"numFactoredBinaryTrees:list\",\"output_value\":12}]"} {"id": "python/single_target_baseline/62/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 62, "target_native_task_name": "numFactoredBinaryTrees:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-46, -80, -15, -4, 94, 12, 34, -33, -55, -24]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n mod = 10 ** 9 + 7\n n = len(list_1)\n list_1.sort()\n idx = {v: i for (i, v) in enumerate(list_1)}\n f = [1] * n\n for (i, a) in enumerate(list_1):\n for j in range(i):\n b = list_1[j]\n if a % b == 0 and (c := (a // b)) in idx:\n f[i] = (f[i] + f[j] * f[idx[c]]) % mod\n python_result_1 = sum(f) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":62,\"native_task_name\":\"numFactoredBinaryTrees:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/62/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 62, "target_native_task_name": "numFactoredBinaryTrees:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-20, -56, 86, -48, 11, -87, 20, -42, 39, -86]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n mod = 10 ** 9 + 7\n n = len(list_1)\n list_1.sort()\n idx = {v: i for (i, v) in enumerate(list_1)}\n f = [1] * n\n for (i, a) in enumerate(list_1):\n for j in range(i):\n b = list_1[j]\n if a % b == 0 and (c := (a // b)) in idx:\n f[i] = (f[i] + f[j] * f[idx[c]]) % mod\n python_result_1 = sum(f) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":62,\"native_task_name\":\"numFactoredBinaryTrees:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/62/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 62, "target_native_task_name": "numFactoredBinaryTrees:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-31, -45, -79, -3, 47, 8, -17, 74, 38, 72]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n mod = 10 ** 9 + 7\n n = len(list_1)\n list_1.sort()\n idx = {v: i for (i, v) in enumerate(list_1)}\n f = [1] * n\n for (i, a) in enumerate(list_1):\n for j in range(i):\n b = list_1[j]\n if a % b == 0 and (c := (a // b)) in idx:\n f[i] = (f[i] + f[j] * f[idx[c]]) % mod\n python_result_1 = sum(f) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":62,\"native_task_name\":\"numFactoredBinaryTrees:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/62/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 62, "target_native_task_name": "numFactoredBinaryTrees:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [57, 32, -14, -92, -13, -42, -83, -81, 76, -72]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n mod = 10 ** 9 + 7\n n = len(list_1)\n list_1.sort()\n idx = {v: i for (i, v) in enumerate(list_1)}\n f = [1] * n\n for (i, a) in enumerate(list_1):\n for j in range(i):\n b = list_1[j]\n if a % b == 0 and (c := (a // b)) in idx:\n f[i] = (f[i] + f[j] * f[idx[c]]) % mod\n python_result_1 = sum(f) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":62,\"native_task_name\":\"numFactoredBinaryTrees:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/63/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 63, "target_native_task_name": "numberOfAlternatingGroups:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-45, 49, -87, 11, 12, -65, 82, -9, -51, -96]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n k = 3\n n = len(list_1)\n ans = cnt = 0\n for i in range(n << 1):\n if i and list_1[i % n] == list_1[(i - 1) % n]:\n cnt = 1\n else:\n cnt += 1\n ans += i >= n and cnt >= k\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":63,\"native_task_name\":\"numberOfAlternatingGroups:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/63/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 63, "target_native_task_name": "numberOfAlternatingGroups:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [31, 55, 93, 16, -97, 82, -17, -96, 46, -57]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n k = 3\n n = len(list_1)\n ans = cnt = 0\n for i in range(n << 1):\n if i and list_1[i % n] == list_1[(i - 1) % n]:\n cnt = 1\n else:\n cnt += 1\n ans += i >= n and cnt >= k\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":63,\"native_task_name\":\"numberOfAlternatingGroups:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/63/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 63, "target_native_task_name": "numberOfAlternatingGroups:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [74, 70, -61, -51, -97, 94, -57, 69, 10, -42]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n k = 3\n n = len(list_1)\n ans = cnt = 0\n for i in range(n << 1):\n if i and list_1[i % n] == list_1[(i - 1) % n]:\n cnt = 1\n else:\n cnt += 1\n ans += i >= n and cnt >= k\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":63,\"native_task_name\":\"numberOfAlternatingGroups:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/63/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 63, "target_native_task_name": "numberOfAlternatingGroups:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-51, 47, 41, -50, 79, -23, -17, 90, -76, 51]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n k = 3\n n = len(list_1)\n ans = cnt = 0\n for i in range(n << 1):\n if i and list_1[i % n] == list_1[(i - 1) % n]:\n cnt = 1\n else:\n cnt += 1\n ans += i >= n and cnt >= k\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":63,\"native_task_name\":\"numberOfAlternatingGroups:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/63/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 63, "target_native_task_name": "numberOfAlternatingGroups:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-83, -89, -95, 80, -63, 0, 99, -20, -71, 97]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n k = 3\n n = len(list_1)\n ans = cnt = 0\n for i in range(n << 1):\n if i and list_1[i % n] == list_1[(i - 1) % n]:\n cnt = 1\n else:\n cnt += 1\n ans += i >= n and cnt >= k\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":63,\"native_task_name\":\"numberOfAlternatingGroups:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/63/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 63, "target_native_task_name": "numberOfAlternatingGroups:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [23, 100, -67, -92, 5, 24, 86, -37, -85, -45]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n k = 3\n n = len(list_1)\n ans = cnt = 0\n for i in range(n << 1):\n if i and list_1[i % n] == list_1[(i - 1) % n]:\n cnt = 1\n else:\n cnt += 1\n ans += i >= n and cnt >= k\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":63,\"native_task_name\":\"numberOfAlternatingGroups:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/63/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 63, "target_native_task_name": "numberOfAlternatingGroups:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [46, 89, 2, 62, -29, 70, -32, 38, 80, -7]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n k = 3\n n = len(list_1)\n ans = cnt = 0\n for i in range(n << 1):\n if i and list_1[i % n] == list_1[(i - 1) % n]:\n cnt = 1\n else:\n cnt += 1\n ans += i >= n and cnt >= k\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":63,\"native_task_name\":\"numberOfAlternatingGroups:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/63/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 63, "target_native_task_name": "numberOfAlternatingGroups:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-92, 22, -35, 72, 67, 30, 52, -8, -1, -48]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n k = 3\n n = len(list_1)\n ans = cnt = 0\n for i in range(n << 1):\n if i and list_1[i % n] == list_1[(i - 1) % n]:\n cnt = 1\n else:\n cnt += 1\n ans += i >= n and cnt >= k\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":63,\"native_task_name\":\"numberOfAlternatingGroups:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/63/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 63, "target_native_task_name": "numberOfAlternatingGroups:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [34, 81, 90, 23, 0, 79, 35, -57, 76, 66]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n k = 3\n n = len(list_1)\n ans = cnt = 0\n for i in range(n << 1):\n if i and list_1[i % n] == list_1[(i - 1) % n]:\n cnt = 1\n else:\n cnt += 1\n ans += i >= n and cnt >= k\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":63,\"native_task_name\":\"numberOfAlternatingGroups:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/63/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 63, "target_native_task_name": "numberOfAlternatingGroups:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-55, -73, -31, 0, -53, -23, -93, 70, 1, -33]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n k = 3\n n = len(list_1)\n ans = cnt = 0\n for i in range(n << 1):\n if i and list_1[i % n] == list_1[(i - 1) % n]:\n cnt = 1\n else:\n cnt += 1\n ans += i >= n and cnt >= k\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":63,\"native_task_name\":\"numberOfAlternatingGroups:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/63/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 63, "target_native_task_name": "numberOfAlternatingGroups:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-81, 16, 94, 33, 3, 35, -69, 47, 99, -53]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n k = 3\n n = len(list_1)\n ans = cnt = 0\n for i in range(n << 1):\n if i and list_1[i % n] == list_1[(i - 1) % n]:\n cnt = 1\n else:\n cnt += 1\n ans += i >= n and cnt >= k\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":63,\"native_task_name\":\"numberOfAlternatingGroups:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/63/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 63, "target_native_task_name": "numberOfAlternatingGroups:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [63, 85, -43, -45, -83, -61, 30, 26, 83, -14]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n k = 3\n n = len(list_1)\n ans = cnt = 0\n for i in range(n << 1):\n if i and list_1[i % n] == list_1[(i - 1) % n]:\n cnt = 1\n else:\n cnt += 1\n ans += i >= n and cnt >= k\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":63,\"native_task_name\":\"numberOfAlternatingGroups:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/63/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 63, "target_native_task_name": "numberOfAlternatingGroups:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [73, 92, -81, -87, 22, -45, -79, -35, -47, 0]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n k = 3\n n = len(list_1)\n ans = cnt = 0\n for i in range(n << 1):\n if i and list_1[i % n] == list_1[(i - 1) % n]:\n cnt = 1\n else:\n cnt += 1\n ans += i >= n and cnt >= k\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":63,\"native_task_name\":\"numberOfAlternatingGroups:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/63/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 63, "target_native_task_name": "numberOfAlternatingGroups:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-18, 79, -97, -88, 55, 24, -45, -1, -22, 58]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n k = 3\n n = len(list_1)\n ans = cnt = 0\n for i in range(n << 1):\n if i and list_1[i % n] == list_1[(i - 1) % n]:\n cnt = 1\n else:\n cnt += 1\n ans += i >= n and cnt >= k\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":63,\"native_task_name\":\"numberOfAlternatingGroups:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/63/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 63, "target_native_task_name": "numberOfAlternatingGroups:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-82, 35, -35, 74, -44, 4, 83, -74, 19, -53]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n k = 3\n n = len(list_1)\n ans = cnt = 0\n for i in range(n << 1):\n if i and list_1[i % n] == list_1[(i - 1) % n]:\n cnt = 1\n else:\n cnt += 1\n ans += i >= n and cnt >= k\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":63,\"native_task_name\":\"numberOfAlternatingGroups:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/63/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 63, "target_native_task_name": "numberOfAlternatingGroups:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-10, -28, -88, -17, -58, -1, 15, -49, 69, -90]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n k = 3\n n = len(list_1)\n ans = cnt = 0\n for i in range(n << 1):\n if i and list_1[i % n] == list_1[(i - 1) % n]:\n cnt = 1\n else:\n cnt += 1\n ans += i >= n and cnt >= k\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":63,\"native_task_name\":\"numberOfAlternatingGroups:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/64/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 64, "target_native_task_name": "countSubarrays:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [56, 19, -69, 96, 41, 21, 94, 60, -8, -33]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -13.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = max(list_1)\n n = len(list_1)\n ans = cnt = j = 0\n for x in list_1:\n while j < n and cnt < k:\n cnt += list_1[j] == mx\n j += 1\n if cnt < k:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":64,\"native_task_name\":\"countSubarrays:list\",\"output_value\":110}]"} {"id": "python/single_target_baseline/64/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 64, "target_native_task_name": "countSubarrays:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-48, 99, -28, 6, -36, 57, 18, -77, 81, 85]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -84.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = max(list_1)\n n = len(list_1)\n ans = cnt = j = 0\n for x in list_1:\n while j < n and cnt < k:\n cnt += list_1[j] == mx\n j += 1\n if cnt < k:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":64,\"native_task_name\":\"countSubarrays:list\",\"output_value\":110}]"} {"id": "python/single_target_baseline/64/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 64, "target_native_task_name": "countSubarrays:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-50, 15, -14, -85, 79, -95, -96, 38, 92, 4]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -61.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = max(list_1)\n n = len(list_1)\n ans = cnt = j = 0\n for x in list_1:\n while j < n and cnt < k:\n cnt += list_1[j] == mx\n j += 1\n if cnt < k:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":64,\"native_task_name\":\"countSubarrays:list\",\"output_value\":110}]"} {"id": "python/single_target_baseline/64/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 64, "target_native_task_name": "countSubarrays:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-21, 44, 59, 71, 49, 17, 28, 71, -56, 88]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -36.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = max(list_1)\n n = len(list_1)\n ans = cnt = j = 0\n for x in list_1:\n while j < n and cnt < k:\n cnt += list_1[j] == mx\n j += 1\n if cnt < k:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":64,\"native_task_name\":\"countSubarrays:list\",\"output_value\":110}]"} {"id": "python/single_target_baseline/64/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 64, "target_native_task_name": "countSubarrays:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-72, 9, -87, 63, 71, 24, 46, -94, 25, -74]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -68.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = max(list_1)\n n = len(list_1)\n ans = cnt = j = 0\n for x in list_1:\n while j < n and cnt < k:\n cnt += list_1[j] == mx\n j += 1\n if cnt < k:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":64,\"native_task_name\":\"countSubarrays:list\",\"output_value\":110}]"} {"id": "python/single_target_baseline/64/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 64, "target_native_task_name": "countSubarrays:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-12, 51, -29, 79, -79, -8, -53, 19, 87, 37]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -42.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = max(list_1)\n n = len(list_1)\n ans = cnt = j = 0\n for x in list_1:\n while j < n and cnt < k:\n cnt += list_1[j] == mx\n j += 1\n if cnt < k:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":64,\"native_task_name\":\"countSubarrays:list\",\"output_value\":110}]"} {"id": "python/single_target_baseline/64/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 64, "target_native_task_name": "countSubarrays:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [45, -54, -50, 15, -33, -87, 44, -84, 82, 34]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -59.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = max(list_1)\n n = len(list_1)\n ans = cnt = j = 0\n for x in list_1:\n while j < n and cnt < k:\n cnt += list_1[j] == mx\n j += 1\n if cnt < k:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":64,\"native_task_name\":\"countSubarrays:list\",\"output_value\":110}]"} {"id": "python/single_target_baseline/64/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 64, "target_native_task_name": "countSubarrays:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [69, -49, 92, 97, -89, 100, -53, 36, 26, -34]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -97.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = max(list_1)\n n = len(list_1)\n ans = cnt = j = 0\n for x in list_1:\n while j < n and cnt < k:\n cnt += list_1[j] == mx\n j += 1\n if cnt < k:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":64,\"native_task_name\":\"countSubarrays:list\",\"output_value\":110}]"} {"id": "python/single_target_baseline/64/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 64, "target_native_task_name": "countSubarrays:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-87, -5, -79, -87, 47, 83, -1, 41, -30, 79]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -29.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = max(list_1)\n n = len(list_1)\n ans = cnt = j = 0\n for x in list_1:\n while j < n and cnt < k:\n cnt += list_1[j] == mx\n j += 1\n if cnt < k:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":64,\"native_task_name\":\"countSubarrays:list\",\"output_value\":110}]"} {"id": "python/single_target_baseline/64/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 64, "target_native_task_name": "countSubarrays:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-60, 72, -33, 14, 49, 93, -87, -3, 68, 90]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -6.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = max(list_1)\n n = len(list_1)\n ans = cnt = j = 0\n for x in list_1:\n while j < n and cnt < k:\n cnt += list_1[j] == mx\n j += 1\n if cnt < k:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":64,\"native_task_name\":\"countSubarrays:list\",\"output_value\":110}]"} {"id": "python/single_target_baseline/64/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 64, "target_native_task_name": "countSubarrays:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-91, 6, 91, -12, 78, 20, 65, -65, -58, 11]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -59.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = max(list_1)\n n = len(list_1)\n ans = cnt = j = 0\n for x in list_1:\n while j < n and cnt < k:\n cnt += list_1[j] == mx\n j += 1\n if cnt < k:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":64,\"native_task_name\":\"countSubarrays:list\",\"output_value\":110}]"} {"id": "python/single_target_baseline/64/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 64, "target_native_task_name": "countSubarrays:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [44, 58, 42, -59, 35, 35, 6, 79, -31, 96]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -29.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = max(list_1)\n n = len(list_1)\n ans = cnt = j = 0\n for x in list_1:\n while j < n and cnt < k:\n cnt += list_1[j] == mx\n j += 1\n if cnt < k:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":64,\"native_task_name\":\"countSubarrays:list\",\"output_value\":110}]"} {"id": "python/single_target_baseline/64/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 64, "target_native_task_name": "countSubarrays:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [49, 51, -92, 33, 52, 19, -37, 43, 96, 58]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -67.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = max(list_1)\n n = len(list_1)\n ans = cnt = j = 0\n for x in list_1:\n while j < n and cnt < k:\n cnt += list_1[j] == mx\n j += 1\n if cnt < k:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":64,\"native_task_name\":\"countSubarrays:list\",\"output_value\":110}]"} {"id": "python/single_target_baseline/64/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 64, "target_native_task_name": "countSubarrays:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-52, 99, -67, -81, 87, 39, 73, -47, 18, 58]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -2.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = max(list_1)\n n = len(list_1)\n ans = cnt = j = 0\n for x in list_1:\n while j < n and cnt < k:\n cnt += list_1[j] == mx\n j += 1\n if cnt < k:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":64,\"native_task_name\":\"countSubarrays:list\",\"output_value\":110}]"} {"id": "python/single_target_baseline/64/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 64, "target_native_task_name": "countSubarrays:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [32, 59, -44, 5, -55, 8, -62, -12, 63, -12]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -5.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = max(list_1)\n n = len(list_1)\n ans = cnt = j = 0\n for x in list_1:\n while j < n and cnt < k:\n cnt += list_1[j] == mx\n j += 1\n if cnt < k:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":64,\"native_task_name\":\"countSubarrays:list\",\"output_value\":110}]"} {"id": "python/single_target_baseline/64/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 64, "target_native_task_name": "countSubarrays:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-22, -18, -88, 87, 40, -20, -80, 51, -21, 60]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -39.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n mx = max(list_1)\n n = len(list_1)\n ans = cnt = j = 0\n for x in list_1:\n while j < n and cnt < k:\n cnt += list_1[j] == mx\n j += 1\n if cnt < k:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":64,\"native_task_name\":\"countSubarrays:list\",\"output_value\":110}]"} {"id": "python/single_target_baseline/65/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 65, "target_native_task_name": "countSubarrays:scalar", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -66}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [14, -62, -48, 13, -87, -47, 100, 76, -65, -31].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n mx = max(nums)\n n = len(nums)\n ans = cnt = j = 0\n for x in nums:\n while j < n and cnt < val_1:\n cnt += nums[j] == mx\n j += 1\n if cnt < val_1:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":65,\"native_task_name\":\"countSubarrays:scalar\",\"output_value\":110}]"} {"id": "python/single_target_baseline/65/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 65, "target_native_task_name": "countSubarrays:scalar", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -28}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [5, -14, -4, -97, 0, 85, -90, -4, -59, 77].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n mx = max(nums)\n n = len(nums)\n ans = cnt = j = 0\n for x in nums:\n while j < n and cnt < val_1:\n cnt += nums[j] == mx\n j += 1\n if cnt < val_1:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":65,\"native_task_name\":\"countSubarrays:scalar\",\"output_value\":110}]"} {"id": "python/single_target_baseline/65/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 65, "target_native_task_name": "countSubarrays:scalar", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -37}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-43, 85, 72, 34, -51, -50, 45, 3, -46, -56].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n mx = max(nums)\n n = len(nums)\n ans = cnt = j = 0\n for x in nums:\n while j < n and cnt < val_1:\n cnt += nums[j] == mx\n j += 1\n if cnt < val_1:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":65,\"native_task_name\":\"countSubarrays:scalar\",\"output_value\":110}]"} {"id": "python/single_target_baseline/65/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 65, "target_native_task_name": "countSubarrays:scalar", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -100}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-2, -41, 79, -54, -35, 86, -7, 22, 83, -75].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n mx = max(nums)\n n = len(nums)\n ans = cnt = j = 0\n for x in nums:\n while j < n and cnt < val_1:\n cnt += nums[j] == mx\n j += 1\n if cnt < val_1:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "86", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":65,\"native_task_name\":\"countSubarrays:scalar\",\"output_value\":86}]"} {"id": "python/single_target_baseline/65/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 65, "target_native_task_name": "countSubarrays:scalar", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -85}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [99, 16, -55, -45, 88, -23, 72, 39, -10, 77].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n mx = max(nums)\n n = len(nums)\n ans = cnt = j = 0\n for x in nums:\n while j < n and cnt < val_1:\n cnt += nums[j] == mx\n j += 1\n if cnt < val_1:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":65,\"native_task_name\":\"countSubarrays:scalar\",\"output_value\":110}]"} {"id": "python/single_target_baseline/65/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 65, "target_native_task_name": "countSubarrays:scalar", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -9}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [55, 64, -33, 32, -80, -88, -75, -31, 81, -34].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n mx = max(nums)\n n = len(nums)\n ans = cnt = j = 0\n for x in nums:\n while j < n and cnt < val_1:\n cnt += nums[j] == mx\n j += 1\n if cnt < val_1:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":65,\"native_task_name\":\"countSubarrays:scalar\",\"output_value\":110}]"} {"id": "python/single_target_baseline/65/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 65, "target_native_task_name": "countSubarrays:scalar", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -78}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-8, 61, -29, 49, 30, 99, 26, -33, -9, 19].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n mx = max(nums)\n n = len(nums)\n ans = cnt = j = 0\n for x in nums:\n while j < n and cnt < val_1:\n cnt += nums[j] == mx\n j += 1\n if cnt < val_1:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":65,\"native_task_name\":\"countSubarrays:scalar\",\"output_value\":110}]"} {"id": "python/single_target_baseline/65/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 65, "target_native_task_name": "countSubarrays:scalar", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -67}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [27, 90, -65, -55, 28, 75, -14, 51, -37, 83].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n mx = max(nums)\n n = len(nums)\n ans = cnt = j = 0\n for x in nums:\n while j < n and cnt < val_1:\n cnt += nums[j] == mx\n j += 1\n if cnt < val_1:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":65,\"native_task_name\":\"countSubarrays:scalar\",\"output_value\":110}]"} {"id": "python/single_target_baseline/65/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 65, "target_native_task_name": "countSubarrays:scalar", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -60}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [37, 79, 73, -17, -16, -34, 32, 31, -60, 75].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n mx = max(nums)\n n = len(nums)\n ans = cnt = j = 0\n for x in nums:\n while j < n and cnt < val_1:\n cnt += nums[j] == mx\n j += 1\n if cnt < val_1:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":65,\"native_task_name\":\"countSubarrays:scalar\",\"output_value\":110}]"} {"id": "python/single_target_baseline/65/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 65, "target_native_task_name": "countSubarrays:scalar", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -15}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [44, -21, 62, -44, -35, -45, 62, -38, 18, 34].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n mx = max(nums)\n n = len(nums)\n ans = cnt = j = 0\n for x in nums:\n while j < n and cnt < val_1:\n cnt += nums[j] == mx\n j += 1\n if cnt < val_1:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":65,\"native_task_name\":\"countSubarrays:scalar\",\"output_value\":110}]"} {"id": "python/single_target_baseline/65/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 65, "target_native_task_name": "countSubarrays:scalar", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -72}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [78, -62, 16, -94, 25, -39, 53, 92, -30, -80].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n mx = max(nums)\n n = len(nums)\n ans = cnt = j = 0\n for x in nums:\n while j < n and cnt < val_1:\n cnt += nums[j] == mx\n j += 1\n if cnt < val_1:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":65,\"native_task_name\":\"countSubarrays:scalar\",\"output_value\":110}]"} {"id": "python/single_target_baseline/65/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 65, "target_native_task_name": "countSubarrays:scalar", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -56}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-79, 6, 6, -31, -46, -87, -94, 29, 51, 86].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n mx = max(nums)\n n = len(nums)\n ans = cnt = j = 0\n for x in nums:\n while j < n and cnt < val_1:\n cnt += nums[j] == mx\n j += 1\n if cnt < val_1:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":65,\"native_task_name\":\"countSubarrays:scalar\",\"output_value\":110}]"} {"id": "python/single_target_baseline/65/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 65, "target_native_task_name": "countSubarrays:scalar", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -26}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-77, 28, 2, 14, 33, -75, -48, -35, -68, 69].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n mx = max(nums)\n n = len(nums)\n ans = cnt = j = 0\n for x in nums:\n while j < n and cnt < val_1:\n cnt += nums[j] == mx\n j += 1\n if cnt < val_1:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":65,\"native_task_name\":\"countSubarrays:scalar\",\"output_value\":110}]"} {"id": "python/single_target_baseline/65/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 65, "target_native_task_name": "countSubarrays:scalar", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -26}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-56, 21, 67, -14, 20, 65, 5, 75, -41, -66].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n mx = max(nums)\n n = len(nums)\n ans = cnt = j = 0\n for x in nums:\n while j < n and cnt < val_1:\n cnt += nums[j] == mx\n j += 1\n if cnt < val_1:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":65,\"native_task_name\":\"countSubarrays:scalar\",\"output_value\":110}]"} {"id": "python/single_target_baseline/65/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 65, "target_native_task_name": "countSubarrays:scalar", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -13}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-27, 85, 84, 7, -83, -25, -27, -13, 46, 22].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n mx = max(nums)\n n = len(nums)\n ans = cnt = j = 0\n for x in nums:\n while j < n and cnt < val_1:\n cnt += nums[j] == mx\n j += 1\n if cnt < val_1:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":65,\"native_task_name\":\"countSubarrays:scalar\",\"output_value\":110}]"} {"id": "python/single_target_baseline/65/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 65, "target_native_task_name": "countSubarrays:scalar", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -89}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [60, 60, 11, -63, -76, 80, -25, -94, 79, -94].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n mx = max(nums)\n n = len(nums)\n ans = cnt = j = 0\n for x in nums:\n while j < n and cnt < val_1:\n cnt += nums[j] == mx\n j += 1\n if cnt < val_1:\n break\n ans += n - j + 1\n cnt -= x == mx\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "110", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":65,\"native_task_name\":\"countSubarrays:scalar\",\"output_value\":110}]"} {"id": "python/single_target_baseline/66/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 66, "target_native_task_name": "maxChunksToSorted:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-85, 39, -76, -3, -59, -18, 71, 95, -77, 67]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for v in list_1:\n if not stk or v >= stk[-1]:\n stk.append(v)\n else:\n mx = stk.pop()\n while stk and stk[-1] > v:\n stk.pop()\n stk.append(mx)\n python_result_1 = len(stk)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":66,\"native_task_name\":\"maxChunksToSorted:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/66/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 66, "target_native_task_name": "maxChunksToSorted:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [6, -46, 53, 7, 2, -59, -63, 18, -75, 87]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for v in list_1:\n if not stk or v >= stk[-1]:\n stk.append(v)\n else:\n mx = stk.pop()\n while stk and stk[-1] > v:\n stk.pop()\n stk.append(mx)\n python_result_1 = len(stk)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":66,\"native_task_name\":\"maxChunksToSorted:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/66/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 66, "target_native_task_name": "maxChunksToSorted:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-96, 91, 64, 29, 79, -43, 50, 57, 23, 20]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for v in list_1:\n if not stk or v >= stk[-1]:\n stk.append(v)\n else:\n mx = stk.pop()\n while stk and stk[-1] > v:\n stk.pop()\n stk.append(mx)\n python_result_1 = len(stk)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":66,\"native_task_name\":\"maxChunksToSorted:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/66/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 66, "target_native_task_name": "maxChunksToSorted:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-14, -36, 8, 99, 92, 78, 7, 81, 77, 12]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for v in list_1:\n if not stk or v >= stk[-1]:\n stk.append(v)\n else:\n mx = stk.pop()\n while stk and stk[-1] > v:\n stk.pop()\n stk.append(mx)\n python_result_1 = len(stk)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":66,\"native_task_name\":\"maxChunksToSorted:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/66/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 66, "target_native_task_name": "maxChunksToSorted:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-64, -7, 76, -45, 37, 38, -25, 16, 6, 1]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for v in list_1:\n if not stk or v >= stk[-1]:\n stk.append(v)\n else:\n mx = stk.pop()\n while stk and stk[-1] > v:\n stk.pop()\n stk.append(mx)\n python_result_1 = len(stk)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":66,\"native_task_name\":\"maxChunksToSorted:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/66/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 66, "target_native_task_name": "maxChunksToSorted:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-17, 52, 100, 40, 35, -76, -45, -74, -37, 94]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for v in list_1:\n if not stk or v >= stk[-1]:\n stk.append(v)\n else:\n mx = stk.pop()\n while stk and stk[-1] > v:\n stk.pop()\n stk.append(mx)\n python_result_1 = len(stk)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":66,\"native_task_name\":\"maxChunksToSorted:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/66/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 66, "target_native_task_name": "maxChunksToSorted:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [6, -86, -97, 40, 45, 69, -13, 48, -38, 69]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for v in list_1:\n if not stk or v >= stk[-1]:\n stk.append(v)\n else:\n mx = stk.pop()\n while stk and stk[-1] > v:\n stk.pop()\n stk.append(mx)\n python_result_1 = len(stk)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":66,\"native_task_name\":\"maxChunksToSorted:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/66/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 66, "target_native_task_name": "maxChunksToSorted:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-34, 58, 22, 15, -22, -33, -35, -53, -68, 80]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for v in list_1:\n if not stk or v >= stk[-1]:\n stk.append(v)\n else:\n mx = stk.pop()\n while stk and stk[-1] > v:\n stk.pop()\n stk.append(mx)\n python_result_1 = len(stk)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":66,\"native_task_name\":\"maxChunksToSorted:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/66/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 66, "target_native_task_name": "maxChunksToSorted:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-72, 78, -76, -8, 89, 22, -73, 4, -1, 94]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for v in list_1:\n if not stk or v >= stk[-1]:\n stk.append(v)\n else:\n mx = stk.pop()\n while stk and stk[-1] > v:\n stk.pop()\n stk.append(mx)\n python_result_1 = len(stk)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":66,\"native_task_name\":\"maxChunksToSorted:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/66/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 66, "target_native_task_name": "maxChunksToSorted:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [40, 33, -16, 60, 18, -13, 21, -95, -28, 99]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for v in list_1:\n if not stk or v >= stk[-1]:\n stk.append(v)\n else:\n mx = stk.pop()\n while stk and stk[-1] > v:\n stk.pop()\n stk.append(mx)\n python_result_1 = len(stk)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":66,\"native_task_name\":\"maxChunksToSorted:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/66/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 66, "target_native_task_name": "maxChunksToSorted:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [48, 31, 25, 38, -31, 17, 8, -15, 78, 90]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for v in list_1:\n if not stk or v >= stk[-1]:\n stk.append(v)\n else:\n mx = stk.pop()\n while stk and stk[-1] > v:\n stk.pop()\n stk.append(mx)\n python_result_1 = len(stk)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":66,\"native_task_name\":\"maxChunksToSorted:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/66/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 66, "target_native_task_name": "maxChunksToSorted:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-45, -53, 0, 31, -51, 25, -26, -3, -18, 44]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for v in list_1:\n if not stk or v >= stk[-1]:\n stk.append(v)\n else:\n mx = stk.pop()\n while stk and stk[-1] > v:\n stk.pop()\n stk.append(mx)\n python_result_1 = len(stk)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":66,\"native_task_name\":\"maxChunksToSorted:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/66/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 66, "target_native_task_name": "maxChunksToSorted:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [5, -78, -42, 15, 10, -70, 15, -69, -21, 97]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for v in list_1:\n if not stk or v >= stk[-1]:\n stk.append(v)\n else:\n mx = stk.pop()\n while stk and stk[-1] > v:\n stk.pop()\n stk.append(mx)\n python_result_1 = len(stk)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":66,\"native_task_name\":\"maxChunksToSorted:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/66/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 66, "target_native_task_name": "maxChunksToSorted:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-98, -34, 39, -18, -66, 58, 73, 31, -12, -94]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for v in list_1:\n if not stk or v >= stk[-1]:\n stk.append(v)\n else:\n mx = stk.pop()\n while stk and stk[-1] > v:\n stk.pop()\n stk.append(mx)\n python_result_1 = len(stk)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":66,\"native_task_name\":\"maxChunksToSorted:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/66/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 66, "target_native_task_name": "maxChunksToSorted:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-38, -66, -94, 62, -31, -58, 42, -28, 67, 76]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for v in list_1:\n if not stk or v >= stk[-1]:\n stk.append(v)\n else:\n mx = stk.pop()\n while stk and stk[-1] > v:\n stk.pop()\n stk.append(mx)\n python_result_1 = len(stk)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":66,\"native_task_name\":\"maxChunksToSorted:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/66/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 66, "target_native_task_name": "maxChunksToSorted:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-16, -83, -77, -1, -49, -96, -56, 26, 16, 17]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n stk = []\n for v in list_1:\n if not stk or v >= stk[-1]:\n stk.append(v)\n else:\n mx = stk.pop()\n while stk and stk[-1] > v:\n stk.pop()\n stk.append(mx)\n python_result_1 = len(stk)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":66,\"native_task_name\":\"maxChunksToSorted:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/67/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 67, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-31, -64, 26, 65, 22, -92, 19, -33, 51, -16]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] > x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n right = [n] * n\n for i in range(n - 1, -1, -1):\n x = list_1[i]\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n f = [0] * n\n for (i, x) in enumerate(list_1):\n if i and x >= list_1[i - 1]:\n f[i] = f[i - 1] + x\n else:\n j = left[i]\n f[i] = x * (i - j) + (f[j] if j != -1 else 0)\n g = [0] * n\n for i in range(n - 1, -1, -1):\n if i < n - 1 and list_1[i] >= list_1[i + 1]:\n g[i] = g[i + 1] + list_1[i]\n else:\n j = right[i]\n g[i] = list_1[i] * (j - i) + (g[j] if j != n else 0)\n python_result_1 = max((a + b - c for (a, b, c) in zip(f, g, list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-475", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":67,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":-475}]"} {"id": "python/single_target_baseline/67/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 67, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [27, 53, 5, 1, 1, -31, -29, -35, 38, 2]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] > x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n right = [n] * n\n for i in range(n - 1, -1, -1):\n x = list_1[i]\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n f = [0] * n\n for (i, x) in enumerate(list_1):\n if i and x >= list_1[i - 1]:\n f[i] = f[i - 1] + x\n else:\n j = left[i]\n f[i] = x * (i - j) + (f[j] if j != -1 else 0)\n g = [0] * n\n for i in range(n - 1, -1, -1):\n if i < n - 1 and list_1[i] >= list_1[i + 1]:\n g[i] = g[i + 1] + list_1[i]\n else:\n j = right[i]\n g[i] = list_1[i] * (j - i) + (g[j] if j != n else 0)\n python_result_1 = max((a + b - c for (a, b, c) in zip(f, g, list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-80", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":67,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":-80}]"} {"id": "python/single_target_baseline/67/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 67, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-98, 6, 91, -79, 38, -69, -26, 84, -79, -14]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] > x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n right = [n] * n\n for i in range(n - 1, -1, -1):\n x = list_1[i]\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n f = [0] * n\n for (i, x) in enumerate(list_1):\n if i and x >= list_1[i - 1]:\n f[i] = f[i - 1] + x\n else:\n j = left[i]\n f[i] = x * (i - j) + (f[j] if j != -1 else 0)\n g = [0] * n\n for i in range(n - 1, -1, -1):\n if i < n - 1 and list_1[i] >= list_1[i + 1]:\n g[i] = g[i + 1] + list_1[i]\n else:\n j = right[i]\n g[i] = list_1[i] * (j - i) + (g[j] if j != n else 0)\n python_result_1 = max((a + b - c for (a, b, c) in zip(f, g, list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-554", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":67,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":-554}]"} {"id": "python/single_target_baseline/67/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 67, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [46, 9, 31, 27, 88, 13, 10, -22, 58, 86]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] > x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n right = [n] * n\n for i in range(n - 1, -1, -1):\n x = list_1[i]\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n f = [0] * n\n for (i, x) in enumerate(list_1):\n if i and x >= list_1[i - 1]:\n f[i] = f[i - 1] + x\n else:\n j = left[i]\n f[i] = x * (i - j) + (f[j] if j != -1 else 0)\n g = [0] * n\n for i in range(n - 1, -1, -1):\n if i < n - 1 and list_1[i] >= list_1[i + 1]:\n g[i] = g[i + 1] + list_1[i]\n else:\n j = right[i]\n g[i] = list_1[i] * (j - i) + (g[j] if j != n else 0)\n python_result_1 = max((a + b - c for (a, b, c) in zip(f, g, list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "117", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":67,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":117}]"} {"id": "python/single_target_baseline/67/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 67, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [19, 6, 22, 74, -79, 50, 10, 97, -37, -2]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] > x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n right = [n] * n\n for i in range(n - 1, -1, -1):\n x = list_1[i]\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n f = [0] * n\n for (i, x) in enumerate(list_1):\n if i and x >= list_1[i - 1]:\n f[i] = f[i - 1] + x\n else:\n j = left[i]\n f[i] = x * (i - j) + (f[j] if j != -1 else 0)\n g = [0] * n\n for i in range(n - 1, -1, -1):\n if i < n - 1 and list_1[i] >= list_1[i + 1]:\n g[i] = g[i + 1] + list_1[i]\n else:\n j = right[i]\n g[i] = list_1[i] * (j - i) + (g[j] if j != n else 0)\n python_result_1 = max((a + b - c for (a, b, c) in zip(f, g, list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-352", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":67,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":-352}]"} {"id": "python/single_target_baseline/67/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 67, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-20, -11, 39, 17, 91, -79, 81, -10, -68, -42]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] > x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n right = [n] * n\n for i in range(n - 1, -1, -1):\n x = list_1[i]\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n f = [0] * n\n for (i, x) in enumerate(list_1):\n if i and x >= list_1[i - 1]:\n f[i] = f[i - 1] + x\n else:\n j = left[i]\n f[i] = x * (i - j) + (f[j] if j != -1 else 0)\n g = [0] * n\n for i in range(n - 1, -1, -1):\n if i < n - 1 and list_1[i] >= list_1[i + 1]:\n g[i] = g[i + 1] + list_1[i]\n else:\n j = right[i]\n g[i] = list_1[i] * (j - i) + (g[j] if j != n else 0)\n python_result_1 = max((a + b - c for (a, b, c) in zip(f, g, list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-301", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":67,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":-301}]"} {"id": "python/single_target_baseline/67/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 67, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-33, -5, 48, 45, 8, 10, 57, -72, -33, -73]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] > x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n right = [n] * n\n for i in range(n - 1, -1, -1):\n x = list_1[i]\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n f = [0] * n\n for (i, x) in enumerate(list_1):\n if i and x >= list_1[i - 1]:\n f[i] = f[i - 1] + x\n else:\n j = left[i]\n f[i] = x * (i - j) + (f[j] if j != -1 else 0)\n g = [0] * n\n for i in range(n - 1, -1, -1):\n if i < n - 1 and list_1[i] >= list_1[i + 1]:\n g[i] = g[i + 1] + list_1[i]\n else:\n j = right[i]\n g[i] = list_1[i] * (j - i) + (g[j] if j != n else 0)\n python_result_1 = max((a + b - c for (a, b, c) in zip(f, g, list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-138", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":67,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":-138}]"} {"id": "python/single_target_baseline/67/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 67, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [82, 13, -33, 80, 71, -98, -68, 32, -68, -88]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] > x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n right = [n] * n\n for i in range(n - 1, -1, -1):\n x = list_1[i]\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n f = [0] * n\n for (i, x) in enumerate(list_1):\n if i and x >= list_1[i - 1]:\n f[i] = f[i - 1] + x\n else:\n j = left[i]\n f[i] = x * (i - j) + (f[j] if j != -1 else 0)\n g = [0] * n\n for i in range(n - 1, -1, -1):\n if i < n - 1 and list_1[i] >= list_1[i + 1]:\n g[i] = g[i + 1] + list_1[i]\n else:\n j = right[i]\n g[i] = list_1[i] * (j - i) + (g[j] if j != n else 0)\n python_result_1 = max((a + b - c for (a, b, c) in zip(f, g, list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-438", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":67,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":-438}]"} {"id": "python/single_target_baseline/67/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 67, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [37, 35, 69, 98, 60, -46, 84, -50, 100, 3]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] > x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n right = [n] * n\n for i in range(n - 1, -1, -1):\n x = list_1[i]\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n f = [0] * n\n for (i, x) in enumerate(list_1):\n if i and x >= list_1[i - 1]:\n f[i] = f[i - 1] + x\n else:\n j = left[i]\n f[i] = x * (i - j) + (f[j] if j != -1 else 0)\n g = [0] * n\n for i in range(n - 1, -1, -1):\n if i < n - 1 and list_1[i] >= list_1[i + 1]:\n g[i] = g[i + 1] + list_1[i]\n else:\n j = right[i]\n g[i] = list_1[i] * (j - i) + (g[j] if j != n else 0)\n python_result_1 = max((a + b - c for (a, b, c) in zip(f, g, list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "55", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":67,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":55}]"} {"id": "python/single_target_baseline/67/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 67, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [52, 85, 76, -28, -30, -39, 35, 63, 36, -17]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] > x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n right = [n] * n\n for i in range(n - 1, -1, -1):\n x = list_1[i]\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n f = [0] * n\n for (i, x) in enumerate(list_1):\n if i and x >= list_1[i - 1]:\n f[i] = f[i - 1] + x\n else:\n j = left[i]\n f[i] = x * (i - j) + (f[j] if j != -1 else 0)\n g = [0] * n\n for i in range(n - 1, -1, -1):\n if i < n - 1 and list_1[i] >= list_1[i + 1]:\n g[i] = g[i + 1] + list_1[i]\n else:\n j = right[i]\n g[i] = list_1[i] * (j - i) + (g[j] if j != n else 0)\n python_result_1 = max((a + b - c for (a, b, c) in zip(f, g, list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-40", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":67,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":-40}]"} {"id": "python/single_target_baseline/67/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 67, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-99, -98, 17, -62, 84, 64, 89, 44, 93, -18]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] > x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n right = [n] * n\n for i in range(n - 1, -1, -1):\n x = list_1[i]\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n f = [0] * n\n for (i, x) in enumerate(list_1):\n if i and x >= list_1[i - 1]:\n f[i] = f[i - 1] + x\n else:\n j = left[i]\n f[i] = x * (i - j) + (f[j] if j != -1 else 0)\n g = [0] * n\n for i in range(n - 1, -1, -1):\n if i < n - 1 and list_1[i] >= list_1[i + 1]:\n g[i] = g[i + 1] + list_1[i]\n else:\n j = right[i]\n g[i] = list_1[i] * (j - i) + (g[j] if j != n else 0)\n python_result_1 = max((a + b - c for (a, b, c) in zip(f, g, list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-34", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":67,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":-34}]"} {"id": "python/single_target_baseline/67/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 67, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [75, -14, -55, 55, 7, -13, -79, -69, -92, -63]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] > x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n right = [n] * n\n for i in range(n - 1, -1, -1):\n x = list_1[i]\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n f = [0] * n\n for (i, x) in enumerate(list_1):\n if i and x >= list_1[i - 1]:\n f[i] = f[i - 1] + x\n else:\n j = left[i]\n f[i] = x * (i - j) + (f[j] if j != -1 else 0)\n g = [0] * n\n for i in range(n - 1, -1, -1):\n if i < n - 1 and list_1[i] >= list_1[i + 1]:\n g[i] = g[i + 1] + list_1[i]\n else:\n j = right[i]\n g[i] = list_1[i] * (j - i) + (g[j] if j != n else 0)\n python_result_1 = max((a + b - c for (a, b, c) in zip(f, g, list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-458", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":67,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":-458}]"} {"id": "python/single_target_baseline/67/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 67, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [47, 7, 61, -10, -20, 45, 81, 22, -6, 35]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] > x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n right = [n] * n\n for i in range(n - 1, -1, -1):\n x = list_1[i]\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n f = [0] * n\n for (i, x) in enumerate(list_1):\n if i and x >= list_1[i - 1]:\n f[i] = f[i - 1] + x\n else:\n j = left[i]\n f[i] = x * (i - j) + (f[j] if j != -1 else 0)\n g = [0] * n\n for i in range(n - 1, -1, -1):\n if i < n - 1 and list_1[i] >= list_1[i + 1]:\n g[i] = g[i + 1] + list_1[i]\n else:\n j = right[i]\n g[i] = list_1[i] * (j - i) + (g[j] if j != n else 0)\n python_result_1 = max((a + b - c for (a, b, c) in zip(f, g, list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "36", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":67,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":36}]"} {"id": "python/single_target_baseline/67/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 67, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-71, 18, -39, -84, -89, 2, 69, -38, -9, -59]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] > x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n right = [n] * n\n for i in range(n - 1, -1, -1):\n x = list_1[i]\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n f = [0] * n\n for (i, x) in enumerate(list_1):\n if i and x >= list_1[i - 1]:\n f[i] = f[i - 1] + x\n else:\n j = left[i]\n f[i] = x * (i - j) + (f[j] if j != -1 else 0)\n g = [0] * n\n for i in range(n - 1, -1, -1):\n if i < n - 1 and list_1[i] >= list_1[i + 1]:\n g[i] = g[i + 1] + list_1[i]\n else:\n j = right[i]\n g[i] = list_1[i] * (j - i) + (g[j] if j != n else 0)\n python_result_1 = max((a + b - c for (a, b, c) in zip(f, g, list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-509", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":67,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":-509}]"} {"id": "python/single_target_baseline/67/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 67, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [8, 54, 28, 70, -56, -39, 11, -79, -37, -43]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] > x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n right = [n] * n\n for i in range(n - 1, -1, -1):\n x = list_1[i]\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n f = [0] * n\n for (i, x) in enumerate(list_1):\n if i and x >= list_1[i - 1]:\n f[i] = f[i - 1] + x\n else:\n j = left[i]\n f[i] = x * (i - j) + (f[j] if j != -1 else 0)\n g = [0] * n\n for i in range(n - 1, -1, -1):\n if i < n - 1 and list_1[i] >= list_1[i + 1]:\n g[i] = g[i + 1] + list_1[i]\n else:\n j = right[i]\n g[i] = list_1[i] * (j - i) + (g[j] if j != n else 0)\n python_result_1 = max((a + b - c for (a, b, c) in zip(f, g, list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-271", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":67,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":-271}]"} {"id": "python/single_target_baseline/67/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 67, "target_native_task_name": "maximumSumOfHeights:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-31, 28, -65, 90, -99, 82, -60, -45, -82, 65]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n stk = []\n left = [-1] * n\n for (i, x) in enumerate(list_1):\n while stk and list_1[stk[-1]] > x:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n stk = []\n right = [n] * n\n for i in range(n - 1, -1, -1):\n x = list_1[i]\n while stk and list_1[stk[-1]] >= x:\n stk.pop()\n if stk:\n right[i] = stk[-1]\n stk.append(i)\n f = [0] * n\n for (i, x) in enumerate(list_1):\n if i and x >= list_1[i - 1]:\n f[i] = f[i - 1] + x\n else:\n j = left[i]\n f[i] = x * (i - j) + (f[j] if j != -1 else 0)\n g = [0] * n\n for i in range(n - 1, -1, -1):\n if i < n - 1 and list_1[i] >= list_1[i + 1]:\n g[i] = g[i + 1] + list_1[i]\n else:\n j = right[i]\n g[i] = list_1[i] * (j - i) + (g[j] if j != n else 0)\n python_result_1 = max((a + b - c for (a, b, c) in zip(f, g, list_1)))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-697", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":67,\"native_task_name\":\"maximumSumOfHeights:list\",\"output_value\":-697}]"} {"id": "python/single_target_baseline/68/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 68, "target_native_task_name": "numOfWays:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [3, -37, -68, 48, -34, -31, 50, 30, 21, -50]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def dfs(nums):\n if len(nums) < 2:\n return 1\n left = [x for x in nums if x < nums[0]]\n right = [x for x in nums if x > nums[0]]\n (m, n) = (len(left), len(right))\n (a, b) = (dfs(left), dfs(right))\n return c[m + n][m] * a % mod * b % mod\n n = len(list_1)\n mod = 10 ** 9 + 7\n c = [[0] * n for _ in range(n)]\n c[0][0] = 1\n for i in range(1, n):\n c[i][0] = 1\n for j in range(1, i + 1):\n c[i][j] = (c[i - 1][j] + c[i - 1][j - 1]) % mod\n python_result_1 = (dfs(list_1) - 1 + mod) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2267", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":68,\"native_task_name\":\"numOfWays:list\",\"output_value\":2267}]"} {"id": "python/single_target_baseline/68/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 68, "target_native_task_name": "numOfWays:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-57, -77, 45, -86, 59, 45, -22, 50, -82, 52]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def dfs(nums):\n if len(nums) < 2:\n return 1\n left = [x for x in nums if x < nums[0]]\n right = [x for x in nums if x > nums[0]]\n (m, n) = (len(left), len(right))\n (a, b) = (dfs(left), dfs(right))\n return c[m + n][m] * a % mod * b % mod\n n = len(list_1)\n mod = 10 ** 9 + 7\n c = [[0] * n for _ in range(n)]\n c[0][0] = 1\n for i in range(1, n):\n c[i][0] = 1\n for j in range(1, i + 1):\n c[i][j] = (c[i - 1][j] + c[i - 1][j - 1]) % mod\n python_result_1 = (dfs(list_1) - 1 + mod) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "335", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":68,\"native_task_name\":\"numOfWays:list\",\"output_value\":335}]"} {"id": "python/single_target_baseline/68/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 68, "target_native_task_name": "numOfWays:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [86, -67, 58, -29, 97, 37, -91, 17, -56, 31]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def dfs(nums):\n if len(nums) < 2:\n return 1\n left = [x for x in nums if x < nums[0]]\n right = [x for x in nums if x > nums[0]]\n (m, n) = (len(left), len(right))\n (a, b) = (dfs(left), dfs(right))\n return c[m + n][m] * a % mod * b % mod\n n = len(list_1)\n mod = 10 ** 9 + 7\n c = [[0] * n for _ in range(n)]\n c[0][0] = 1\n for i in range(1, n):\n c[i][0] = 1\n for j in range(1, i + 1):\n c[i][j] = (c[i - 1][j] + c[i - 1][j - 1]) % mod\n python_result_1 = (dfs(list_1) - 1 + mod) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "251", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":68,\"native_task_name\":\"numOfWays:list\",\"output_value\":251}]"} {"id": "python/single_target_baseline/68/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 68, "target_native_task_name": "numOfWays:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [39, -70, -40, -19, -3, 79, -69, 84, -10, 89]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def dfs(nums):\n if len(nums) < 2:\n return 1\n left = [x for x in nums if x < nums[0]]\n right = [x for x in nums if x > nums[0]]\n (m, n) = (len(left), len(right))\n (a, b) = (dfs(left), dfs(right))\n return c[m + n][m] * a % mod * b % mod\n n = len(list_1)\n mod = 10 ** 9 + 7\n c = [[0] * n for _ in range(n)]\n c[0][0] = 1\n for i in range(1, n):\n c[i][0] = 1\n for j in range(1, i + 1):\n c[i][j] = (c[i - 1][j] + c[i - 1][j - 1]) % mod\n python_result_1 = (dfs(list_1) - 1 + mod) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "335", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":68,\"native_task_name\":\"numOfWays:list\",\"output_value\":335}]"} {"id": "python/single_target_baseline/68/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 68, "target_native_task_name": "numOfWays:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-57, 72, -1, 16, 8, 70, -25, -79, 61, -21]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def dfs(nums):\n if len(nums) < 2:\n return 1\n left = [x for x in nums if x < nums[0]]\n right = [x for x in nums if x > nums[0]]\n (m, n) = (len(left), len(right))\n (a, b) = (dfs(left), dfs(right))\n return c[m + n][m] * a % mod * b % mod\n n = len(list_1)\n mod = 10 ** 9 + 7\n c = [[0] * n for _ in range(n)]\n c[0][0] = 1\n for i in range(1, n):\n c[i][0] = 1\n for j in range(1, i + 1):\n c[i][j] = (c[i - 1][j] + c[i - 1][j - 1]) % mod\n python_result_1 = (dfs(list_1) - 1 + mod) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "404", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":68,\"native_task_name\":\"numOfWays:list\",\"output_value\":404}]"} {"id": "python/single_target_baseline/68/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 68, "target_native_task_name": "numOfWays:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [45, -87, 32, -26, 2, 60, -72, 30, -45, -64]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def dfs(nums):\n if len(nums) < 2:\n return 1\n left = [x for x in nums if x < nums[0]]\n right = [x for x in nums if x > nums[0]]\n (m, n) = (len(left), len(right))\n (a, b) = (dfs(left), dfs(right))\n return c[m + n][m] * a % mod * b % mod\n n = len(list_1)\n mod = 10 ** 9 + 7\n c = [[0] * n for _ in range(n)]\n c[0][0] = 1\n for i in range(1, n):\n c[i][0] = 1\n for j in range(1, i + 1):\n c[i][j] = (c[i - 1][j] + c[i - 1][j - 1]) % mod\n python_result_1 = (dfs(list_1) - 1 + mod) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "89", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":68,\"native_task_name\":\"numOfWays:list\",\"output_value\":89}]"} {"id": "python/single_target_baseline/68/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 68, "target_native_task_name": "numOfWays:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-63, -55, -89, 69, 40, 82, 94, -61, -79, -5]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def dfs(nums):\n if len(nums) < 2:\n return 1\n left = [x for x in nums if x < nums[0]]\n right = [x for x in nums if x > nums[0]]\n (m, n) = (len(left), len(right))\n (a, b) = (dfs(left), dfs(right))\n return c[m + n][m] * a % mod * b % mod\n n = len(list_1)\n mod = 10 ** 9 + 7\n c = [[0] * n for _ in range(n)]\n c[0][0] = 1\n for i in range(1, n):\n c[i][0] = 1\n for j in range(1, i + 1):\n c[i][j] = (c[i - 1][j] + c[i - 1][j - 1]) % mod\n python_result_1 = (dfs(list_1) - 1 + mod) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "1295", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":68,\"native_task_name\":\"numOfWays:list\",\"output_value\":1295}]"} {"id": "python/single_target_baseline/68/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 68, "target_native_task_name": "numOfWays:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-74, -21, 63, -30, -90, -34, 26, 52, 82, 99]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def dfs(nums):\n if len(nums) < 2:\n return 1\n left = [x for x in nums if x < nums[0]]\n right = [x for x in nums if x > nums[0]]\n (m, n) = (len(left), len(right))\n (a, b) = (dfs(left), dfs(right))\n return c[m + n][m] * a % mod * b % mod\n n = len(list_1)\n mod = 10 ** 9 + 7\n c = [[0] * n for _ in range(n)]\n c[0][0] = 1\n for i in range(1, n):\n c[i][0] = 1\n for j in range(1, i + 1):\n c[i][j] = (c[i - 1][j] + c[i - 1][j - 1]) % mod\n python_result_1 = (dfs(list_1) - 1 + mod) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "1133", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":68,\"native_task_name\":\"numOfWays:list\",\"output_value\":1133}]"} {"id": "python/single_target_baseline/68/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 68, "target_native_task_name": "numOfWays:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-84, -24, -93, -86, 63, 40, 14, 19, -14, 55]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def dfs(nums):\n if len(nums) < 2:\n return 1\n left = [x for x in nums if x < nums[0]]\n right = [x for x in nums if x > nums[0]]\n (m, n) = (len(left), len(right))\n (a, b) = (dfs(left), dfs(right))\n return c[m + n][m] * a % mod * b % mod\n n = len(list_1)\n mod = 10 ** 9 + 7\n c = [[0] * n for _ in range(n)]\n c[0][0] = 1\n for i in range(1, n):\n c[i][0] = 1\n for j in range(1, i + 1):\n c[i][j] = (c[i - 1][j] + c[i - 1][j - 1]) % mod\n python_result_1 = (dfs(list_1) - 1 + mod) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "287", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":68,\"native_task_name\":\"numOfWays:list\",\"output_value\":287}]"} {"id": "python/single_target_baseline/68/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 68, "target_native_task_name": "numOfWays:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-51, 84, -9, -15, 61, 75, 18, -79, 93, -60]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def dfs(nums):\n if len(nums) < 2:\n return 1\n left = [x for x in nums if x < nums[0]]\n right = [x for x in nums if x > nums[0]]\n (m, n) = (len(left), len(right))\n (a, b) = (dfs(left), dfs(right))\n return c[m + n][m] * a % mod * b % mod\n n = len(list_1)\n mod = 10 ** 9 + 7\n c = [[0] * n for _ in range(n)]\n c[0][0] = 1\n for i in range(1, n):\n c[i][0] = 1\n for j in range(1, i + 1):\n c[i][j] = (c[i - 1][j] + c[i - 1][j - 1]) % mod\n python_result_1 = (dfs(list_1) - 1 + mod) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "1727", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":68,\"native_task_name\":\"numOfWays:list\",\"output_value\":1727}]"} {"id": "python/single_target_baseline/68/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 68, "target_native_task_name": "numOfWays:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-20, 14, 35, -13, 11, -31, -5, 62, -100, -51]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def dfs(nums):\n if len(nums) < 2:\n return 1\n left = [x for x in nums if x < nums[0]]\n right = [x for x in nums if x > nums[0]]\n (m, n) = (len(left), len(right))\n (a, b) = (dfs(left), dfs(right))\n return c[m + n][m] * a % mod * b % mod\n n = len(list_1)\n mod = 10 ** 9 + 7\n c = [[0] * n for _ in range(n)]\n c[0][0] = 1\n for i in range(1, n):\n c[i][0] = 1\n for j in range(1, i + 1):\n c[i][j] = (c[i - 1][j] + c[i - 1][j - 1]) % mod\n python_result_1 = (dfs(list_1) - 1 + mod) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "539", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":68,\"native_task_name\":\"numOfWays:list\",\"output_value\":539}]"} {"id": "python/single_target_baseline/68/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 68, "target_native_task_name": "numOfWays:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [82, 89, -62, 61, -74, -71, 96, 3, -87, -41]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def dfs(nums):\n if len(nums) < 2:\n return 1\n left = [x for x in nums if x < nums[0]]\n right = [x for x in nums if x > nums[0]]\n (m, n) = (len(left), len(right))\n (a, b) = (dfs(left), dfs(right))\n return c[m + n][m] * a % mod * b % mod\n n = len(list_1)\n mod = 10 ** 9 + 7\n c = [[0] * n for _ in range(n)]\n c[0][0] = 1\n for i in range(1, n):\n c[i][0] = 1\n for j in range(1, i + 1):\n c[i][j] = (c[i - 1][j] + c[i - 1][j - 1]) % mod\n python_result_1 = (dfs(list_1) - 1 + mod) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "1439", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":68,\"native_task_name\":\"numOfWays:list\",\"output_value\":1439}]"} {"id": "python/single_target_baseline/68/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 68, "target_native_task_name": "numOfWays:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [68, 50, -21, -46, 70, -47, -47, 64, -48, 79]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def dfs(nums):\n if len(nums) < 2:\n return 1\n left = [x for x in nums if x < nums[0]]\n right = [x for x in nums if x > nums[0]]\n (m, n) = (len(left), len(right))\n (a, b) = (dfs(left), dfs(right))\n return c[m + n][m] * a % mod * b % mod\n n = len(list_1)\n mod = 10 ** 9 + 7\n c = [[0] * n for _ in range(n)]\n c[0][0] = 1\n for i in range(1, n):\n c[i][0] = 1\n for j in range(1, i + 1):\n c[i][j] = (c[i - 1][j] + c[i - 1][j - 1]) % mod\n python_result_1 = (dfs(list_1) - 1 + mod) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "215", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":68,\"native_task_name\":\"numOfWays:list\",\"output_value\":215}]"} {"id": "python/single_target_baseline/68/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 68, "target_native_task_name": "numOfWays:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-96, -78, -28, 38, -82, -55, -79, -51, -80, 29]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def dfs(nums):\n if len(nums) < 2:\n return 1\n left = [x for x in nums if x < nums[0]]\n right = [x for x in nums if x > nums[0]]\n (m, n) = (len(left), len(right))\n (a, b) = (dfs(left), dfs(right))\n return c[m + n][m] * a % mod * b % mod\n n = len(list_1)\n mod = 10 ** 9 + 7\n c = [[0] * n for _ in range(n)]\n c[0][0] = 1\n for i in range(1, n):\n c[i][0] = 1\n for j in range(1, i + 1):\n c[i][j] = (c[i - 1][j] + c[i - 1][j - 1]) % mod\n python_result_1 = (dfs(list_1) - 1 + mod) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "335", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":68,\"native_task_name\":\"numOfWays:list\",\"output_value\":335}]"} {"id": "python/single_target_baseline/68/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 68, "target_native_task_name": "numOfWays:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [92, -6, -7, 89, 74, 78, -28, 81, 85, -6]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def dfs(nums):\n if len(nums) < 2:\n return 1\n left = [x for x in nums if x < nums[0]]\n right = [x for x in nums if x > nums[0]]\n (m, n) = (len(left), len(right))\n (a, b) = (dfs(left), dfs(right))\n return c[m + n][m] * a % mod * b % mod\n n = len(list_1)\n mod = 10 ** 9 + 7\n c = [[0] * n for _ in range(n)]\n c[0][0] = 1\n for i in range(1, n):\n c[i][0] = 1\n for j in range(1, i + 1):\n c[i][j] = (c[i - 1][j] + c[i - 1][j - 1]) % mod\n python_result_1 = (dfs(list_1) - 1 + mod) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "20", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":68,\"native_task_name\":\"numOfWays:list\",\"output_value\":20}]"} {"id": "python/single_target_baseline/68/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 68, "target_native_task_name": "numOfWays:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [67, -36, -30, -37, -22, 15, -74, -8, -82, -39]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n def dfs(nums):\n if len(nums) < 2:\n return 1\n left = [x for x in nums if x < nums[0]]\n right = [x for x in nums if x > nums[0]]\n (m, n) = (len(left), len(right))\n (a, b) = (dfs(left), dfs(right))\n return c[m + n][m] * a % mod * b % mod\n n = len(list_1)\n mod = 10 ** 9 + 7\n c = [[0] * n for _ in range(n)]\n c[0][0] = 1\n for i in range(1, n):\n c[i][0] = 1\n for j in range(1, i + 1):\n c[i][j] = (c[i - 1][j] + c[i - 1][j - 1]) % mod\n python_result_1 = (dfs(list_1) - 1 + mod) % mod\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "139", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":68,\"native_task_name\":\"numOfWays:list\",\"output_value\":139}]"} {"id": "python/single_target_baseline/69/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 69, "target_native_task_name": "longestMonotonicSubarray:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-33, -50, -98, 7, 59, -22, -6, -76, 30, -74]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] < x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] > x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":69,\"native_task_name\":\"longestMonotonicSubarray:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/69/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 69, "target_native_task_name": "longestMonotonicSubarray:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-65, -70, 56, -15, 6, 79, 62, 84, -54, 77]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] < x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] > x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":69,\"native_task_name\":\"longestMonotonicSubarray:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/69/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 69, "target_native_task_name": "longestMonotonicSubarray:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [24, -47, 56, 3, -16, -26, -77, 40, 59, -39]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] < x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] > x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":69,\"native_task_name\":\"longestMonotonicSubarray:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/69/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 69, "target_native_task_name": "longestMonotonicSubarray:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [16, -69, -75, 32, 23, 59, 49, -27, -21, -70]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] < x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] > x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":69,\"native_task_name\":\"longestMonotonicSubarray:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/69/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 69, "target_native_task_name": "longestMonotonicSubarray:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [10, -16, -59, 21, -24, 43, -15, -95, 25, -96]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] < x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] > x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":69,\"native_task_name\":\"longestMonotonicSubarray:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/69/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 69, "target_native_task_name": "longestMonotonicSubarray:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [13, -12, 19, -32, -3, -35, -17, -64, -43, 70]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] < x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] > x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":69,\"native_task_name\":\"longestMonotonicSubarray:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/69/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 69, "target_native_task_name": "longestMonotonicSubarray:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [53, -27, -8, -34, -93, -90, -3, 31, 77, -30]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] < x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] > x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":69,\"native_task_name\":\"longestMonotonicSubarray:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/69/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 69, "target_native_task_name": "longestMonotonicSubarray:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [10, -38, 70, 29, 26, 8, 23, 27, -65, -96]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] < x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] > x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":69,\"native_task_name\":\"longestMonotonicSubarray:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/69/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 69, "target_native_task_name": "longestMonotonicSubarray:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [83, 19, -27, -32, -69, 31, -18, 33, 51, -97]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] < x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] > x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":69,\"native_task_name\":\"longestMonotonicSubarray:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/69/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 69, "target_native_task_name": "longestMonotonicSubarray:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [16, -66, 13, 6, -75, 62, 12, -55, 66, 10]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] < x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] > x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":69,\"native_task_name\":\"longestMonotonicSubarray:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/69/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 69, "target_native_task_name": "longestMonotonicSubarray:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [48, -75, 33, 51, 9, -23, -54, -95, -41, -58]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] < x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] > x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":69,\"native_task_name\":\"longestMonotonicSubarray:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/69/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 69, "target_native_task_name": "longestMonotonicSubarray:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-44, -100, 89, -60, -7, -15, -42, -80, -37, -89]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] < x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] > x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":69,\"native_task_name\":\"longestMonotonicSubarray:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/69/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 69, "target_native_task_name": "longestMonotonicSubarray:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [78, -63, -56, 97, -66, 70, -28, 20, -19, -99]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] < x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] > x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":69,\"native_task_name\":\"longestMonotonicSubarray:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/69/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 69, "target_native_task_name": "longestMonotonicSubarray:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-8, 12, 62, 95, 71, 0, 37, -62, 89, -16]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] < x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] > x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":69,\"native_task_name\":\"longestMonotonicSubarray:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/69/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 69, "target_native_task_name": "longestMonotonicSubarray:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-59, 45, 29, 9, 9, -96, 53, -34, -38, 28]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] < x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] > x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":69,\"native_task_name\":\"longestMonotonicSubarray:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/69/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 69, "target_native_task_name": "longestMonotonicSubarray:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [54, 2, -15, -10, -5, 51, 8, -92, 51, -89]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n ans = t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] < x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n t = 1\n for (i, x) in enumerate(list_1[1:]):\n if list_1[i] > x:\n t += 1\n ans = max(ans, t)\n else:\n t = 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":69,\"native_task_name\":\"longestMonotonicSubarray:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/70/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 70, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [38, -6, -25, 87, -3, 44, 59, 30, -45, 3]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":70,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/70/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 70, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [66, -53, -64, 80, 20, -68, -29, 65, 49, -65]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":70,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/70/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 70, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-15, -89, -14, -32, -5, 9, 55, 53, 33, 86]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":70,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/70/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 70, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-6, -68, 16, -55, 9, -68, 46, -28, -48, 23]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":70,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/70/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 70, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-5, -48, 10, 81, -75, 25, 22, -33, 35, -18]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":70,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/70/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 70, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [22, 94, -3, 90, 22, -6, -73, 9, -75, 20]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":70,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/70/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 70, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-44, 45, -100, -23, -36, 90, 56, -19, -32, -54]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":70,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/70/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 70, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-79, 45, -29, 25, -34, 44, 29, 58, -89, -23]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":70,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/70/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 70, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [43, 20, 3, -48, -18, 64, 15, 81, 41, 15]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":70,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/70/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 70, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [13, 83, 95, 15, -18, 31, 48, 86, -15, 100]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":70,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/70/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 70, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-74, 22, 66, -89, -96, -50, 47, 80, -80, 37]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":70,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/70/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 70, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [78, -23, 92, 63, 0, -89, 41, 66, 61, 39]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":70,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/70/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 70, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-74, -91, 41, -25, -34, 23, -10, -24, 96, 48]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":70,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/70/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 70, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [76, 49, 22, -9, -97, 78, 27, -20, -61, 11]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":70,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/70/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 70, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [69, -17, -10, -6, -10, -76, 71, -55, -90, 65]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":70,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/70/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 70, "target_native_task_name": "incremovableSubarrayCount:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-98, -63, 17, -81, 86, -71, -72, 44, -90, -25]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n (i, n) = (0, len(list_1))\n while i + 1 < n and list_1[i] < list_1[i + 1]:\n i += 1\n if i == n - 1:\n python_result_1 = n * (n + 1) // 2\n return python_result_1\n ans = i + 2\n j = n - 1\n while j:\n while i >= 0 and list_1[i] >= list_1[j]:\n i -= 1\n ans += i + 2\n if list_1[j - 1] >= list_1[j]:\n break\n j -= 1\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":70,\"native_task_name\":\"incremovableSubarrayCount:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/71/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 71, "target_native_task_name": "findNumberOfLIS:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [98, -94, 16, -47, 96, -59, -46, 56, 46, 70]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n cnt = [1] * n\n mx = 0\n for i in range(n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n if f[i] < f[j] + 1:\n f[i] = f[j] + 1\n cnt[i] = cnt[j]\n elif f[i] == f[j] + 1:\n cnt[i] += cnt[j]\n if mx < f[i]:\n mx = f[i]\n ans = cnt[i]\n elif mx == f[i]:\n ans += cnt[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":71,\"native_task_name\":\"findNumberOfLIS:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/71/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 71, "target_native_task_name": "findNumberOfLIS:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [47, 94, -60, -8, -89, 80, -8, 41, -11, 9]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n cnt = [1] * n\n mx = 0\n for i in range(n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n if f[i] < f[j] + 1:\n f[i] = f[j] + 1\n cnt[i] = cnt[j]\n elif f[i] == f[j] + 1:\n cnt[i] += cnt[j]\n if mx < f[i]:\n mx = f[i]\n ans = cnt[i]\n elif mx == f[i]:\n ans += cnt[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":71,\"native_task_name\":\"findNumberOfLIS:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/71/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 71, "target_native_task_name": "findNumberOfLIS:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-67, -34, -92, -44, 66, -51, -56, 87, -33, 44]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n cnt = [1] * n\n mx = 0\n for i in range(n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n if f[i] < f[j] + 1:\n f[i] = f[j] + 1\n cnt[i] = cnt[j]\n elif f[i] == f[j] + 1:\n cnt[i] += cnt[j]\n if mx < f[i]:\n mx = f[i]\n ans = cnt[i]\n elif mx == f[i]:\n ans += cnt[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":71,\"native_task_name\":\"findNumberOfLIS:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/71/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 71, "target_native_task_name": "findNumberOfLIS:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [43, -27, 73, -10, 65, -24, -7, 61, -66, -65]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n cnt = [1] * n\n mx = 0\n for i in range(n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n if f[i] < f[j] + 1:\n f[i] = f[j] + 1\n cnt[i] = cnt[j]\n elif f[i] == f[j] + 1:\n cnt[i] += cnt[j]\n if mx < f[i]:\n mx = f[i]\n ans = cnt[i]\n elif mx == f[i]:\n ans += cnt[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":71,\"native_task_name\":\"findNumberOfLIS:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/71/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 71, "target_native_task_name": "findNumberOfLIS:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-6, -86, -12, 99, 38, 4, -77, 46, 4, -98]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n cnt = [1] * n\n mx = 0\n for i in range(n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n if f[i] < f[j] + 1:\n f[i] = f[j] + 1\n cnt[i] = cnt[j]\n elif f[i] == f[j] + 1:\n cnt[i] += cnt[j]\n if mx < f[i]:\n mx = f[i]\n ans = cnt[i]\n elif mx == f[i]:\n ans += cnt[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":71,\"native_task_name\":\"findNumberOfLIS:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/71/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 71, "target_native_task_name": "findNumberOfLIS:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [39, -45, -38, 39, -75, -38, -7, -14, -8, 63]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n cnt = [1] * n\n mx = 0\n for i in range(n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n if f[i] < f[j] + 1:\n f[i] = f[j] + 1\n cnt[i] = cnt[j]\n elif f[i] == f[j] + 1:\n cnt[i] += cnt[j]\n if mx < f[i]:\n mx = f[i]\n ans = cnt[i]\n elif mx == f[i]:\n ans += cnt[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":71,\"native_task_name\":\"findNumberOfLIS:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/71/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 71, "target_native_task_name": "findNumberOfLIS:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [37, 84, 40, -98, 34, 55, -40, 20, 86, 20]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n cnt = [1] * n\n mx = 0\n for i in range(n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n if f[i] < f[j] + 1:\n f[i] = f[j] + 1\n cnt[i] = cnt[j]\n elif f[i] == f[j] + 1:\n cnt[i] += cnt[j]\n if mx < f[i]:\n mx = f[i]\n ans = cnt[i]\n elif mx == f[i]:\n ans += cnt[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":71,\"native_task_name\":\"findNumberOfLIS:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/71/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 71, "target_native_task_name": "findNumberOfLIS:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-35, 80, -31, -9, 80, -73, 44, 27, -15, -26]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n cnt = [1] * n\n mx = 0\n for i in range(n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n if f[i] < f[j] + 1:\n f[i] = f[j] + 1\n cnt[i] = cnt[j]\n elif f[i] == f[j] + 1:\n cnt[i] += cnt[j]\n if mx < f[i]:\n mx = f[i]\n ans = cnt[i]\n elif mx == f[i]:\n ans += cnt[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":71,\"native_task_name\":\"findNumberOfLIS:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/71/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 71, "target_native_task_name": "findNumberOfLIS:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [18, 62, -22, -64, -84, -35, 29, -87, -1, 51]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n cnt = [1] * n\n mx = 0\n for i in range(n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n if f[i] < f[j] + 1:\n f[i] = f[j] + 1\n cnt[i] = cnt[j]\n elif f[i] == f[j] + 1:\n cnt[i] += cnt[j]\n if mx < f[i]:\n mx = f[i]\n ans = cnt[i]\n elif mx == f[i]:\n ans += cnt[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":71,\"native_task_name\":\"findNumberOfLIS:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/71/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 71, "target_native_task_name": "findNumberOfLIS:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-93, -27, -93, -61, -53, 58, -29, -52, 15, -48]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n cnt = [1] * n\n mx = 0\n for i in range(n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n if f[i] < f[j] + 1:\n f[i] = f[j] + 1\n cnt[i] = cnt[j]\n elif f[i] == f[j] + 1:\n cnt[i] += cnt[j]\n if mx < f[i]:\n mx = f[i]\n ans = cnt[i]\n elif mx == f[i]:\n ans += cnt[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":71,\"native_task_name\":\"findNumberOfLIS:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/71/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 71, "target_native_task_name": "findNumberOfLIS:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [92, -28, -70, 59, -19, -87, 53, -9, 49, -46]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n cnt = [1] * n\n mx = 0\n for i in range(n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n if f[i] < f[j] + 1:\n f[i] = f[j] + 1\n cnt[i] = cnt[j]\n elif f[i] == f[j] + 1:\n cnt[i] += cnt[j]\n if mx < f[i]:\n mx = f[i]\n ans = cnt[i]\n elif mx == f[i]:\n ans += cnt[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":71,\"native_task_name\":\"findNumberOfLIS:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/71/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 71, "target_native_task_name": "findNumberOfLIS:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [16, -1, 38, 15, 76, -65, -58, 31, -79, -21]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n cnt = [1] * n\n mx = 0\n for i in range(n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n if f[i] < f[j] + 1:\n f[i] = f[j] + 1\n cnt[i] = cnt[j]\n elif f[i] == f[j] + 1:\n cnt[i] += cnt[j]\n if mx < f[i]:\n mx = f[i]\n ans = cnt[i]\n elif mx == f[i]:\n ans += cnt[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":71,\"native_task_name\":\"findNumberOfLIS:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/71/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 71, "target_native_task_name": "findNumberOfLIS:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [72, 58, 9, 30, 62, -80, 89, -85, 8, 65]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n cnt = [1] * n\n mx = 0\n for i in range(n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n if f[i] < f[j] + 1:\n f[i] = f[j] + 1\n cnt[i] = cnt[j]\n elif f[i] == f[j] + 1:\n cnt[i] += cnt[j]\n if mx < f[i]:\n mx = f[i]\n ans = cnt[i]\n elif mx == f[i]:\n ans += cnt[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":71,\"native_task_name\":\"findNumberOfLIS:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/71/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 71, "target_native_task_name": "findNumberOfLIS:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-22, -84, -5, -6, 14, -97, 87, 18, 32, -68]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n cnt = [1] * n\n mx = 0\n for i in range(n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n if f[i] < f[j] + 1:\n f[i] = f[j] + 1\n cnt[i] = cnt[j]\n elif f[i] == f[j] + 1:\n cnt[i] += cnt[j]\n if mx < f[i]:\n mx = f[i]\n ans = cnt[i]\n elif mx == f[i]:\n ans += cnt[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":71,\"native_task_name\":\"findNumberOfLIS:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/71/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 71, "target_native_task_name": "findNumberOfLIS:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [11, -5, -86, -86, 53, -13, 60, -44, -63, -11]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n cnt = [1] * n\n mx = 0\n for i in range(n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n if f[i] < f[j] + 1:\n f[i] = f[j] + 1\n cnt[i] = cnt[j]\n elif f[i] == f[j] + 1:\n cnt[i] += cnt[j]\n if mx < f[i]:\n mx = f[i]\n ans = cnt[i]\n elif mx == f[i]:\n ans += cnt[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "12", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":71,\"native_task_name\":\"findNumberOfLIS:list\",\"output_value\":12}]"} {"id": "python/single_target_baseline/71/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 71, "target_native_task_name": "findNumberOfLIS:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-74, -64, -62, -37, 78, 32, -82, -58, -64, -8]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [1] * n\n cnt = [1] * n\n mx = 0\n for i in range(n):\n for j in range(i):\n if list_1[j] < list_1[i]:\n if f[i] < f[j] + 1:\n f[i] = f[j] + 1\n cnt[i] = cnt[j]\n elif f[i] == f[j] + 1:\n cnt[i] += cnt[j]\n if mx < f[i]:\n mx = f[i]\n ans = cnt[i]\n elif mx == f[i]:\n ans += cnt[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":71,\"native_task_name\":\"findNumberOfLIS:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/72/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 72, "target_native_task_name": "distinctDifferenceArray:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [43, 30, -95, -9, 6, -37, 63, 94, 73, -83]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n suf = [0] * (n + 1)\n s = set()\n for i in range(n - 1, -1, -1):\n s.add(list_1[i])\n suf[i] = len(s)\n s.clear()\n ans = [0] * n\n for (i, x) in enumerate(list_1):\n s.add(x)\n ans[i] = len(s) - suf[i + 1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-8,-6,-4,-2,0,2,4,6,8,10]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":72,\"native_task_name\":\"distinctDifferenceArray:list\",\"output_value\":[-8,-6,-4,-2,0,2,4,6,8,10]}]"} {"id": "python/single_target_baseline/72/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 72, "target_native_task_name": "distinctDifferenceArray:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [96, 1, 57, 25, 84, -84, -82, 31, -55, -100]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n suf = [0] * (n + 1)\n s = set()\n for i in range(n - 1, -1, -1):\n s.add(list_1[i])\n suf[i] = len(s)\n s.clear()\n ans = [0] * n\n for (i, x) in enumerate(list_1):\n s.add(x)\n ans[i] = len(s) - suf[i + 1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-8,-6,-4,-2,0,2,4,6,8,10]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":72,\"native_task_name\":\"distinctDifferenceArray:list\",\"output_value\":[-8,-6,-4,-2,0,2,4,6,8,10]}]"} {"id": "python/single_target_baseline/72/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 72, "target_native_task_name": "distinctDifferenceArray:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-57, -62, 47, 58, -93, 88, 75, 26, -94, 86]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n suf = [0] * (n + 1)\n s = set()\n for i in range(n - 1, -1, -1):\n s.add(list_1[i])\n suf[i] = len(s)\n s.clear()\n ans = [0] * n\n for (i, x) in enumerate(list_1):\n s.add(x)\n ans[i] = len(s) - suf[i + 1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-8,-6,-4,-2,0,2,4,6,8,10]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":72,\"native_task_name\":\"distinctDifferenceArray:list\",\"output_value\":[-8,-6,-4,-2,0,2,4,6,8,10]}]"} {"id": "python/single_target_baseline/72/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 72, "target_native_task_name": "distinctDifferenceArray:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [13, -86, 19, -11, -12, 85, -36, -32, 12, -91]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n suf = [0] * (n + 1)\n s = set()\n for i in range(n - 1, -1, -1):\n s.add(list_1[i])\n suf[i] = len(s)\n s.clear()\n ans = [0] * n\n for (i, x) in enumerate(list_1):\n s.add(x)\n ans[i] = len(s) - suf[i + 1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-8,-6,-4,-2,0,2,4,6,8,10]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":72,\"native_task_name\":\"distinctDifferenceArray:list\",\"output_value\":[-8,-6,-4,-2,0,2,4,6,8,10]}]"} {"id": "python/single_target_baseline/72/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 72, "target_native_task_name": "distinctDifferenceArray:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-7, 51, -72, 3, -72, 74, 24, 10, 36, -95]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n suf = [0] * (n + 1)\n s = set()\n for i in range(n - 1, -1, -1):\n s.add(list_1[i])\n suf[i] = len(s)\n s.clear()\n ans = [0] * n\n for (i, x) in enumerate(list_1):\n s.add(x)\n ans[i] = len(s) - suf[i + 1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-7,-5,-4,-2,-1,1,3,5,7,9]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":72,\"native_task_name\":\"distinctDifferenceArray:list\",\"output_value\":[-7,-5,-4,-2,-1,1,3,5,7,9]}]"} {"id": "python/single_target_baseline/72/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 72, "target_native_task_name": "distinctDifferenceArray:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [67, 0, 86, 97, -67, -50, 79, -90, -88, 24]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n suf = [0] * (n + 1)\n s = set()\n for i in range(n - 1, -1, -1):\n s.add(list_1[i])\n suf[i] = len(s)\n s.clear()\n ans = [0] * n\n for (i, x) in enumerate(list_1):\n s.add(x)\n ans[i] = len(s) - suf[i + 1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-8,-6,-4,-2,0,2,4,6,8,10]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":72,\"native_task_name\":\"distinctDifferenceArray:list\",\"output_value\":[-8,-6,-4,-2,0,2,4,6,8,10]}]"} {"id": "python/single_target_baseline/72/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 72, "target_native_task_name": "distinctDifferenceArray:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-20, -55, 37, -2, -43, -74, -64, -93, -4, 51]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n suf = [0] * (n + 1)\n s = set()\n for i in range(n - 1, -1, -1):\n s.add(list_1[i])\n suf[i] = len(s)\n s.clear()\n ans = [0] * n\n for (i, x) in enumerate(list_1):\n s.add(x)\n ans[i] = len(s) - suf[i + 1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-8,-6,-4,-2,0,2,4,6,8,10]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":72,\"native_task_name\":\"distinctDifferenceArray:list\",\"output_value\":[-8,-6,-4,-2,0,2,4,6,8,10]}]"} {"id": "python/single_target_baseline/72/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 72, "target_native_task_name": "distinctDifferenceArray:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [90, -1, -90, -28, -28, -24, -33, 78, -67, 71]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n suf = [0] * (n + 1)\n s = set()\n for i in range(n - 1, -1, -1):\n s.add(list_1[i])\n suf[i] = len(s)\n s.clear()\n ans = [0] * n\n for (i, x) in enumerate(list_1):\n s.add(x)\n ans[i] = len(s) - suf[i + 1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-7,-5,-3,-2,-1,1,3,5,7,9]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":72,\"native_task_name\":\"distinctDifferenceArray:list\",\"output_value\":[-7,-5,-3,-2,-1,1,3,5,7,9]}]"} {"id": "python/single_target_baseline/72/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 72, "target_native_task_name": "distinctDifferenceArray:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-51, -99, 70, 58, 83, -48, -75, 80, -71, -10]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n suf = [0] * (n + 1)\n s = set()\n for i in range(n - 1, -1, -1):\n s.add(list_1[i])\n suf[i] = len(s)\n s.clear()\n ans = [0] * n\n for (i, x) in enumerate(list_1):\n s.add(x)\n ans[i] = len(s) - suf[i + 1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-8,-6,-4,-2,0,2,4,6,8,10]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":72,\"native_task_name\":\"distinctDifferenceArray:list\",\"output_value\":[-8,-6,-4,-2,0,2,4,6,8,10]}]"} {"id": "python/single_target_baseline/72/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 72, "target_native_task_name": "distinctDifferenceArray:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-97, 36, 65, 38, 41, -8, -11, -42, -2, -97]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n suf = [0] * (n + 1)\n s = set()\n for i in range(n - 1, -1, -1):\n s.add(list_1[i])\n suf[i] = len(s)\n s.clear()\n ans = [0] * n\n for (i, x) in enumerate(list_1):\n s.add(x)\n ans[i] = len(s) - suf[i + 1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-8,-6,-4,-2,0,2,4,6,8,9]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":72,\"native_task_name\":\"distinctDifferenceArray:list\",\"output_value\":[-8,-6,-4,-2,0,2,4,6,8,9]}]"} {"id": "python/single_target_baseline/72/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 72, "target_native_task_name": "distinctDifferenceArray:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-22, -6, 49, 88, -98, 32, -5, -66, -28, -64]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n suf = [0] * (n + 1)\n s = set()\n for i in range(n - 1, -1, -1):\n s.add(list_1[i])\n suf[i] = len(s)\n s.clear()\n ans = [0] * n\n for (i, x) in enumerate(list_1):\n s.add(x)\n ans[i] = len(s) - suf[i + 1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-8,-6,-4,-2,0,2,4,6,8,10]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":72,\"native_task_name\":\"distinctDifferenceArray:list\",\"output_value\":[-8,-6,-4,-2,0,2,4,6,8,10]}]"} {"id": "python/single_target_baseline/72/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 72, "target_native_task_name": "distinctDifferenceArray:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-15, -77, 57, 76, 30, 0, 18, -94, 14, 49]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n suf = [0] * (n + 1)\n s = set()\n for i in range(n - 1, -1, -1):\n s.add(list_1[i])\n suf[i] = len(s)\n s.clear()\n ans = [0] * n\n for (i, x) in enumerate(list_1):\n s.add(x)\n ans[i] = len(s) - suf[i + 1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-8,-6,-4,-2,0,2,4,6,8,10]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":72,\"native_task_name\":\"distinctDifferenceArray:list\",\"output_value\":[-8,-6,-4,-2,0,2,4,6,8,10]}]"} {"id": "python/single_target_baseline/72/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 72, "target_native_task_name": "distinctDifferenceArray:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-68, -14, -68, 4, -59, -8, 96, 32, -32, -61]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n suf = [0] * (n + 1)\n s = set()\n for i in range(n - 1, -1, -1):\n s.add(list_1[i])\n suf[i] = len(s)\n s.clear()\n ans = [0] * n\n for (i, x) in enumerate(list_1):\n s.add(x)\n ans[i] = len(s) - suf[i + 1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-8,-6,-5,-3,-1,1,3,5,7,9]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":72,\"native_task_name\":\"distinctDifferenceArray:list\",\"output_value\":[-8,-6,-5,-3,-1,1,3,5,7,9]}]"} {"id": "python/single_target_baseline/72/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 72, "target_native_task_name": "distinctDifferenceArray:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [28, -8, -60, 72, 48, 9, 74, 73, 67, -8]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n suf = [0] * (n + 1)\n s = set()\n for i in range(n - 1, -1, -1):\n s.add(list_1[i])\n suf[i] = len(s)\n s.clear()\n ans = [0] * n\n for (i, x) in enumerate(list_1):\n s.add(x)\n ans[i] = len(s) - suf[i + 1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-7,-6,-4,-2,0,2,4,6,8,9]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":72,\"native_task_name\":\"distinctDifferenceArray:list\",\"output_value\":[-7,-6,-4,-2,0,2,4,6,8,9]}]"} {"id": "python/single_target_baseline/72/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 72, "target_native_task_name": "distinctDifferenceArray:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [2, 51, -51, 75, -14, -20, -43, 43, -14, -14]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n suf = [0] * (n + 1)\n s = set()\n for i in range(n - 1, -1, -1):\n s.add(list_1[i])\n suf[i] = len(s)\n s.clear()\n ans = [0] * n\n for (i, x) in enumerate(list_1):\n s.add(x)\n ans[i] = len(s) - suf[i + 1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-6,-4,-2,0,1,3,5,7,7,8]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":72,\"native_task_name\":\"distinctDifferenceArray:list\",\"output_value\":[-6,-4,-2,0,1,3,5,7,7,8]}]"} {"id": "python/single_target_baseline/72/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 72, "target_native_task_name": "distinctDifferenceArray:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-81, 29, -80, 48, -23, -69, 80, -37, -24, 20]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n suf = [0] * (n + 1)\n s = set()\n for i in range(n - 1, -1, -1):\n s.add(list_1[i])\n suf[i] = len(s)\n s.clear()\n ans = [0] * n\n for (i, x) in enumerate(list_1):\n s.add(x)\n ans[i] = len(s) - suf[i + 1]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-8,-6,-4,-2,0,2,4,6,8,10]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":72,\"native_task_name\":\"distinctDifferenceArray:list\",\"output_value\":[-8,-6,-4,-2,0,2,4,6,8,10]}]"} {"id": "python/single_target_baseline/73/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 73, "target_native_task_name": "reverse:scalar", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -83}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n ans = 0\n (mi, mx) = (-2 ** 31, 2 ** 31 - 1)\n while val_1:\n if ans < mi // 10 + 1 or ans > mx // 10:\n python_result_1 = 0\n return python_result_1\n y = val_1 % 10\n if val_1 < 0 and y > 0:\n y -= 10\n ans = ans * 10 + y\n val_1 = (val_1 - y) // 10\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-38", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":73,\"native_task_name\":\"reverse:scalar\",\"output_value\":-38}]"} {"id": "python/single_target_baseline/73/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 73, "target_native_task_name": "reverse:scalar", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -82}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n ans = 0\n (mi, mx) = (-2 ** 31, 2 ** 31 - 1)\n while val_1:\n if ans < mi // 10 + 1 or ans > mx // 10:\n python_result_1 = 0\n return python_result_1\n y = val_1 % 10\n if val_1 < 0 and y > 0:\n y -= 10\n ans = ans * 10 + y\n val_1 = (val_1 - y) // 10\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-28", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":73,\"native_task_name\":\"reverse:scalar\",\"output_value\":-28}]"} {"id": "python/single_target_baseline/73/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 73, "target_native_task_name": "reverse:scalar", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -96}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n ans = 0\n (mi, mx) = (-2 ** 31, 2 ** 31 - 1)\n while val_1:\n if ans < mi // 10 + 1 or ans > mx // 10:\n python_result_1 = 0\n return python_result_1\n y = val_1 % 10\n if val_1 < 0 and y > 0:\n y -= 10\n ans = ans * 10 + y\n val_1 = (val_1 - y) // 10\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-69", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":73,\"native_task_name\":\"reverse:scalar\",\"output_value\":-69}]"} {"id": "python/single_target_baseline/73/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 73, "target_native_task_name": "reverse:scalar", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 37}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n ans = 0\n (mi, mx) = (-2 ** 31, 2 ** 31 - 1)\n while val_1:\n if ans < mi // 10 + 1 or ans > mx // 10:\n python_result_1 = 0\n return python_result_1\n y = val_1 % 10\n if val_1 < 0 and y > 0:\n y -= 10\n ans = ans * 10 + y\n val_1 = (val_1 - y) // 10\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "73", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":73,\"native_task_name\":\"reverse:scalar\",\"output_value\":73}]"} {"id": "python/single_target_baseline/73/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 73, "target_native_task_name": "reverse:scalar", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -18}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n ans = 0\n (mi, mx) = (-2 ** 31, 2 ** 31 - 1)\n while val_1:\n if ans < mi // 10 + 1 or ans > mx // 10:\n python_result_1 = 0\n return python_result_1\n y = val_1 % 10\n if val_1 < 0 and y > 0:\n y -= 10\n ans = ans * 10 + y\n val_1 = (val_1 - y) // 10\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-81", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":73,\"native_task_name\":\"reverse:scalar\",\"output_value\":-81}]"} {"id": "python/single_target_baseline/73/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 73, "target_native_task_name": "reverse:scalar", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -21}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n ans = 0\n (mi, mx) = (-2 ** 31, 2 ** 31 - 1)\n while val_1:\n if ans < mi // 10 + 1 or ans > mx // 10:\n python_result_1 = 0\n return python_result_1\n y = val_1 % 10\n if val_1 < 0 and y > 0:\n y -= 10\n ans = ans * 10 + y\n val_1 = (val_1 - y) // 10\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-12", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":73,\"native_task_name\":\"reverse:scalar\",\"output_value\":-12}]"} {"id": "python/single_target_baseline/73/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 73, "target_native_task_name": "reverse:scalar", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 90}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n ans = 0\n (mi, mx) = (-2 ** 31, 2 ** 31 - 1)\n while val_1:\n if ans < mi // 10 + 1 or ans > mx // 10:\n python_result_1 = 0\n return python_result_1\n y = val_1 % 10\n if val_1 < 0 and y > 0:\n y -= 10\n ans = ans * 10 + y\n val_1 = (val_1 - y) // 10\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":73,\"native_task_name\":\"reverse:scalar\",\"output_value\":9}]"} {"id": "python/single_target_baseline/73/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 73, "target_native_task_name": "reverse:scalar", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 21}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n ans = 0\n (mi, mx) = (-2 ** 31, 2 ** 31 - 1)\n while val_1:\n if ans < mi // 10 + 1 or ans > mx // 10:\n python_result_1 = 0\n return python_result_1\n y = val_1 % 10\n if val_1 < 0 and y > 0:\n y -= 10\n ans = ans * 10 + y\n val_1 = (val_1 - y) // 10\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "12", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":73,\"native_task_name\":\"reverse:scalar\",\"output_value\":12}]"} {"id": "python/single_target_baseline/73/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 73, "target_native_task_name": "reverse:scalar", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -30}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n ans = 0\n (mi, mx) = (-2 ** 31, 2 ** 31 - 1)\n while val_1:\n if ans < mi // 10 + 1 or ans > mx // 10:\n python_result_1 = 0\n return python_result_1\n y = val_1 % 10\n if val_1 < 0 and y > 0:\n y -= 10\n ans = ans * 10 + y\n val_1 = (val_1 - y) // 10\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":73,\"native_task_name\":\"reverse:scalar\",\"output_value\":-3}]"} {"id": "python/single_target_baseline/73/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 73, "target_native_task_name": "reverse:scalar", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 63}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n ans = 0\n (mi, mx) = (-2 ** 31, 2 ** 31 - 1)\n while val_1:\n if ans < mi // 10 + 1 or ans > mx // 10:\n python_result_1 = 0\n return python_result_1\n y = val_1 % 10\n if val_1 < 0 and y > 0:\n y -= 10\n ans = ans * 10 + y\n val_1 = (val_1 - y) // 10\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "36", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":73,\"native_task_name\":\"reverse:scalar\",\"output_value\":36}]"} {"id": "python/single_target_baseline/73/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 73, "target_native_task_name": "reverse:scalar", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -42}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n ans = 0\n (mi, mx) = (-2 ** 31, 2 ** 31 - 1)\n while val_1:\n if ans < mi // 10 + 1 or ans > mx // 10:\n python_result_1 = 0\n return python_result_1\n y = val_1 % 10\n if val_1 < 0 and y > 0:\n y -= 10\n ans = ans * 10 + y\n val_1 = (val_1 - y) // 10\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-24", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":73,\"native_task_name\":\"reverse:scalar\",\"output_value\":-24}]"} {"id": "python/single_target_baseline/73/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 73, "target_native_task_name": "reverse:scalar", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -43}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n ans = 0\n (mi, mx) = (-2 ** 31, 2 ** 31 - 1)\n while val_1:\n if ans < mi // 10 + 1 or ans > mx // 10:\n python_result_1 = 0\n return python_result_1\n y = val_1 % 10\n if val_1 < 0 and y > 0:\n y -= 10\n ans = ans * 10 + y\n val_1 = (val_1 - y) // 10\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-34", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":73,\"native_task_name\":\"reverse:scalar\",\"output_value\":-34}]"} {"id": "python/single_target_baseline/73/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 73, "target_native_task_name": "reverse:scalar", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -68}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n ans = 0\n (mi, mx) = (-2 ** 31, 2 ** 31 - 1)\n while val_1:\n if ans < mi // 10 + 1 or ans > mx // 10:\n python_result_1 = 0\n return python_result_1\n y = val_1 % 10\n if val_1 < 0 and y > 0:\n y -= 10\n ans = ans * 10 + y\n val_1 = (val_1 - y) // 10\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-86", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":73,\"native_task_name\":\"reverse:scalar\",\"output_value\":-86}]"} {"id": "python/single_target_baseline/73/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 73, "target_native_task_name": "reverse:scalar", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 29}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n ans = 0\n (mi, mx) = (-2 ** 31, 2 ** 31 - 1)\n while val_1:\n if ans < mi // 10 + 1 or ans > mx // 10:\n python_result_1 = 0\n return python_result_1\n y = val_1 % 10\n if val_1 < 0 and y > 0:\n y -= 10\n ans = ans * 10 + y\n val_1 = (val_1 - y) // 10\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "92", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":73,\"native_task_name\":\"reverse:scalar\",\"output_value\":92}]"} {"id": "python/single_target_baseline/73/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 73, "target_native_task_name": "reverse:scalar", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -85}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n ans = 0\n (mi, mx) = (-2 ** 31, 2 ** 31 - 1)\n while val_1:\n if ans < mi // 10 + 1 or ans > mx // 10:\n python_result_1 = 0\n return python_result_1\n y = val_1 % 10\n if val_1 < 0 and y > 0:\n y -= 10\n ans = ans * 10 + y\n val_1 = (val_1 - y) // 10\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-58", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":73,\"native_task_name\":\"reverse:scalar\",\"output_value\":-58}]"} {"id": "python/single_target_baseline/73/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 73, "target_native_task_name": "reverse:scalar", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -30}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n ans = 0\n (mi, mx) = (-2 ** 31, 2 ** 31 - 1)\n while val_1:\n if ans < mi // 10 + 1 or ans > mx // 10:\n python_result_1 = 0\n return python_result_1\n y = val_1 % 10\n if val_1 < 0 and y > 0:\n y -= 10\n ans = ans * 10 + y\n val_1 = (val_1 - y) // 10\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":73,\"native_task_name\":\"reverse:scalar\",\"output_value\":-3}]"} {"id": "python/single_target_baseline/74/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 74, "target_native_task_name": "maxBoxesInWarehouse:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-79, 47, -97, 37, -28, 43, -7, -86, 30, 9]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_warehouse_static = [-65, -30, 12, 38, 73, 19, 30, 77, -87, -20].\nTrace the execution of task_1 with inputs warehouse = task_1_warehouse_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], warehouse: List[int]) -> int:\n n = len(warehouse)\n left = [warehouse[0]] * n\n for i in range(1, n):\n left[i] = min(left[i - 1], warehouse[i])\n list_1.sort()\n (i, j) = (0, n - 1)\n while i < len(list_1):\n while j >= 0 and left[j] < list_1[i]:\n j -= 1\n if j < 0:\n break\n (i, j) = (i + 1, j - 1)\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":74,\"native_task_name\":\"maxBoxesInWarehouse:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/74/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 74, "target_native_task_name": "maxBoxesInWarehouse:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [55, 3, -20, 85, -6, -9, -93, -28, 31, -41]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_warehouse_static = [3, -6, -37, -39, -21, 0, -84, 67, 37, 9].\nTrace the execution of task_1 with inputs warehouse = task_1_warehouse_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], warehouse: List[int]) -> int:\n n = len(warehouse)\n left = [warehouse[0]] * n\n for i in range(1, n):\n left[i] = min(left[i - 1], warehouse[i])\n list_1.sort()\n (i, j) = (0, n - 1)\n while i < len(list_1):\n while j >= 0 and left[j] < list_1[i]:\n j -= 1\n if j < 0:\n break\n (i, j) = (i + 1, j - 1)\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":74,\"native_task_name\":\"maxBoxesInWarehouse:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/74/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 74, "target_native_task_name": "maxBoxesInWarehouse:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-99, 46, 68, -6, -60, -15, 81, -33, -23, -7]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_warehouse_static = [35, 56, -22, -98, 75, 9, -97, -31, 84, -97].\nTrace the execution of task_1 with inputs warehouse = task_1_warehouse_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], warehouse: List[int]) -> int:\n n = len(warehouse)\n left = [warehouse[0]] * n\n for i in range(1, n):\n left[i] = min(left[i - 1], warehouse[i])\n list_1.sort()\n (i, j) = (0, n - 1)\n while i < len(list_1):\n while j >= 0 and left[j] < list_1[i]:\n j -= 1\n if j < 0:\n break\n (i, j) = (i + 1, j - 1)\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":74,\"native_task_name\":\"maxBoxesInWarehouse:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/74/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 74, "target_native_task_name": "maxBoxesInWarehouse:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [44, -28, -74, 24, 17, 21, 52, -40, 98, -73]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_warehouse_static = [-46, -48, 64, -21, 34, 46, 1, 46, -69, 27].\nTrace the execution of task_1 with inputs warehouse = task_1_warehouse_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], warehouse: List[int]) -> int:\n n = len(warehouse)\n left = [warehouse[0]] * n\n for i in range(1, n):\n left[i] = min(left[i - 1], warehouse[i])\n list_1.sort()\n (i, j) = (0, n - 1)\n while i < len(list_1):\n while j >= 0 and left[j] < list_1[i]:\n j -= 1\n if j < 0:\n break\n (i, j) = (i + 1, j - 1)\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":74,\"native_task_name\":\"maxBoxesInWarehouse:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/74/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 74, "target_native_task_name": "maxBoxesInWarehouse:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [30, -49, -76, 54, 88, -10, 58, 40, -49, 21]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_warehouse_static = [90, 71, -7, -28, -8, 96, -93, -88, -53, -4].\nTrace the execution of task_1 with inputs warehouse = task_1_warehouse_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], warehouse: List[int]) -> int:\n n = len(warehouse)\n left = [warehouse[0]] * n\n for i in range(1, n):\n left[i] = min(left[i - 1], warehouse[i])\n list_1.sort()\n (i, j) = (0, n - 1)\n while i < len(list_1):\n while j >= 0 and left[j] < list_1[i]:\n j -= 1\n if j < 0:\n break\n (i, j) = (i + 1, j - 1)\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":74,\"native_task_name\":\"maxBoxesInWarehouse:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/74/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 74, "target_native_task_name": "maxBoxesInWarehouse:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-28, 46, 71, 76, 50, 58, 17, 86, -32, -98]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_warehouse_static = [-4, 78, 19, 60, -72, -93, -95, 35, 99, -4].\nTrace the execution of task_1 with inputs warehouse = task_1_warehouse_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], warehouse: List[int]) -> int:\n n = len(warehouse)\n left = [warehouse[0]] * n\n for i in range(1, n):\n left[i] = min(left[i - 1], warehouse[i])\n list_1.sort()\n (i, j) = (0, n - 1)\n while i < len(list_1):\n while j >= 0 and left[j] < list_1[i]:\n j -= 1\n if j < 0:\n break\n (i, j) = (i + 1, j - 1)\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":74,\"native_task_name\":\"maxBoxesInWarehouse:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/74/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 74, "target_native_task_name": "maxBoxesInWarehouse:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [36, -69, 22, -76, 1, 26, 56, -9, 52, 25]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_warehouse_static = [6, -29, 7, -95, -65, -87, 37, 9, 15, 97].\nTrace the execution of task_1 with inputs warehouse = task_1_warehouse_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], warehouse: List[int]) -> int:\n n = len(warehouse)\n left = [warehouse[0]] * n\n for i in range(1, n):\n left[i] = min(left[i - 1], warehouse[i])\n list_1.sort()\n (i, j) = (0, n - 1)\n while i < len(list_1):\n while j >= 0 and left[j] < list_1[i]:\n j -= 1\n if j < 0:\n break\n (i, j) = (i + 1, j - 1)\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":74,\"native_task_name\":\"maxBoxesInWarehouse:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/74/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 74, "target_native_task_name": "maxBoxesInWarehouse:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [28, 8, 67, 85, 20, -89, -90, -84, -97, 21]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_warehouse_static = [-51, -17, -40, 97, -45, 6, 97, 69, 71, 40].\nTrace the execution of task_1 with inputs warehouse = task_1_warehouse_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], warehouse: List[int]) -> int:\n n = len(warehouse)\n left = [warehouse[0]] * n\n for i in range(1, n):\n left[i] = min(left[i - 1], warehouse[i])\n list_1.sort()\n (i, j) = (0, n - 1)\n while i < len(list_1):\n while j >= 0 and left[j] < list_1[i]:\n j -= 1\n if j < 0:\n break\n (i, j) = (i + 1, j - 1)\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":74,\"native_task_name\":\"maxBoxesInWarehouse:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/74/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 74, "target_native_task_name": "maxBoxesInWarehouse:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-28, -94, -15, 91, 97, -91, -46, -16, 61, 28]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_warehouse_static = [-56, 58, 18, 2, 18, -78, 79, -43, 20, 51].\nTrace the execution of task_1 with inputs warehouse = task_1_warehouse_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], warehouse: List[int]) -> int:\n n = len(warehouse)\n left = [warehouse[0]] * n\n for i in range(1, n):\n left[i] = min(left[i - 1], warehouse[i])\n list_1.sort()\n (i, j) = (0, n - 1)\n while i < len(list_1):\n while j >= 0 and left[j] < list_1[i]:\n j -= 1\n if j < 0:\n break\n (i, j) = (i + 1, j - 1)\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":74,\"native_task_name\":\"maxBoxesInWarehouse:list\",\"output_value\":2}]"} {"id": "python/single_target_baseline/74/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 74, "target_native_task_name": "maxBoxesInWarehouse:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-11, 46, 7, -99, -81, -5, 22, 72, 12, -21]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_warehouse_static = [98, 85, 13, -93, 63, -99, 78, -28, 36, -23].\nTrace the execution of task_1 with inputs warehouse = task_1_warehouse_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], warehouse: List[int]) -> int:\n n = len(warehouse)\n left = [warehouse[0]] * n\n for i in range(1, n):\n left[i] = min(left[i - 1], warehouse[i])\n list_1.sort()\n (i, j) = (0, n - 1)\n while i < len(list_1):\n while j >= 0 and left[j] < list_1[i]:\n j -= 1\n if j < 0:\n break\n (i, j) = (i + 1, j - 1)\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":74,\"native_task_name\":\"maxBoxesInWarehouse:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/74/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 74, "target_native_task_name": "maxBoxesInWarehouse:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [76, 4, 52, -100, 67, 82, -74, 75, -55, -66]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_warehouse_static = [47, 58, 26, 17, -87, 20, 4, 99, -70, -30].\nTrace the execution of task_1 with inputs warehouse = task_1_warehouse_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], warehouse: List[int]) -> int:\n n = len(warehouse)\n left = [warehouse[0]] * n\n for i in range(1, n):\n left[i] = min(left[i - 1], warehouse[i])\n list_1.sort()\n (i, j) = (0, n - 1)\n while i < len(list_1):\n while j >= 0 and left[j] < list_1[i]:\n j -= 1\n if j < 0:\n break\n (i, j) = (i + 1, j - 1)\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":74,\"native_task_name\":\"maxBoxesInWarehouse:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/74/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 74, "target_native_task_name": "maxBoxesInWarehouse:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-97, -89, 5, -61, 59, -33, 99, -86, 17, -79]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_warehouse_static = [-51, 40, 88, -77, -46, 94, -72, -23, -52, 76].\nTrace the execution of task_1 with inputs warehouse = task_1_warehouse_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], warehouse: List[int]) -> int:\n n = len(warehouse)\n left = [warehouse[0]] * n\n for i in range(1, n):\n left[i] = min(left[i - 1], warehouse[i])\n list_1.sort()\n (i, j) = (0, n - 1)\n while i < len(list_1):\n while j >= 0 and left[j] < list_1[i]:\n j -= 1\n if j < 0:\n break\n (i, j) = (i + 1, j - 1)\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":74,\"native_task_name\":\"maxBoxesInWarehouse:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/74/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 74, "target_native_task_name": "maxBoxesInWarehouse:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-1, -50, -85, -6, -4, -89, 45, 23, 92, 71]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_warehouse_static = [90, 82, -74, -33, 79, 45, -19, -94, 82, 3].\nTrace the execution of task_1 with inputs warehouse = task_1_warehouse_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], warehouse: List[int]) -> int:\n n = len(warehouse)\n left = [warehouse[0]] * n\n for i in range(1, n):\n left[i] = min(left[i - 1], warehouse[i])\n list_1.sort()\n (i, j) = (0, n - 1)\n while i < len(list_1):\n while j >= 0 and left[j] < list_1[i]:\n j -= 1\n if j < 0:\n break\n (i, j) = (i + 1, j - 1)\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":74,\"native_task_name\":\"maxBoxesInWarehouse:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/74/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 74, "target_native_task_name": "maxBoxesInWarehouse:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-80, 63, -61, -11, -6, 48, -90, -65, 0, 29]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_warehouse_static = [34, -73, 14, -36, -91, -9, -80, -63, -32, 68].\nTrace the execution of task_1 with inputs warehouse = task_1_warehouse_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], warehouse: List[int]) -> int:\n n = len(warehouse)\n left = [warehouse[0]] * n\n for i in range(1, n):\n left[i] = min(left[i - 1], warehouse[i])\n list_1.sort()\n (i, j) = (0, n - 1)\n while i < len(list_1):\n while j >= 0 and left[j] < list_1[i]:\n j -= 1\n if j < 0:\n break\n (i, j) = (i + 1, j - 1)\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":74,\"native_task_name\":\"maxBoxesInWarehouse:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/74/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 74, "target_native_task_name": "maxBoxesInWarehouse:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-48, 62, 58, 47, 64, 13, -43, 27, 64, -79]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_warehouse_static = [36, 59, 58, -91, 38, 38, -80, 8, 30, 59].\nTrace the execution of task_1 with inputs warehouse = task_1_warehouse_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], warehouse: List[int]) -> int:\n n = len(warehouse)\n left = [warehouse[0]] * n\n for i in range(1, n):\n left[i] = min(left[i - 1], warehouse[i])\n list_1.sort()\n (i, j) = (0, n - 1)\n while i < len(list_1):\n while j >= 0 and left[j] < list_1[i]:\n j -= 1\n if j < 0:\n break\n (i, j) = (i + 1, j - 1)\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":74,\"native_task_name\":\"maxBoxesInWarehouse:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/74/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 74, "target_native_task_name": "maxBoxesInWarehouse:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [2, -55, 56, -34, -74, -37, -70, -75, 78, 57]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_warehouse_static = [-1, -20, 37, -86, -34, 8, -16, -90, -17, -35].\nTrace the execution of task_1 with inputs warehouse = task_1_warehouse_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], warehouse: List[int]) -> int:\n n = len(warehouse)\n left = [warehouse[0]] * n\n for i in range(1, n):\n left[i] = min(left[i - 1], warehouse[i])\n list_1.sort()\n (i, j) = (0, n - 1)\n while i < len(list_1):\n while j >= 0 and left[j] < list_1[i]:\n j -= 1\n if j < 0:\n break\n (i, j) = (i + 1, j - 1)\n python_result_1 = i\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":74,\"native_task_name\":\"maxBoxesInWarehouse:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/75/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 75, "target_native_task_name": "minNumberOfHours:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [69, -60, -54, 25, 48, -44, 56, -90, 28, -32]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_initialEnergy_static = -75.\nDefine task_1_initialExperience_static = -63.\nDefine task_1_experience_static = [-12, 20, 88, -99, 54, 21, -86, 20, -100, -49].\nTrace the execution of task_1 with inputs initialEnergy = task_1_initialEnergy_static, initialExperience = task_1_initialExperience_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(initialEnergy: int, initialExperience: int, list_1: List[int], experience: List[int]) -> int:\n sum_energy = sum(list_1)\n energy_hours = max(0, sum_energy + 1 - initialEnergy)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "166", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":75,\"native_task_name\":\"minNumberOfHours:list\",\"output_value\":166}]"} {"id": "python/single_target_baseline/75/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 75, "target_native_task_name": "minNumberOfHours:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-3, -51, -3, -93, -88, 39, 80, 96, -21, -58]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_initialEnergy_static = -70.\nDefine task_1_initialExperience_static = -6.\nDefine task_1_experience_static = [-14, 6, 86, 30, 82, -6, -34, 5, -94, -20].\nTrace the execution of task_1 with inputs initialEnergy = task_1_initialEnergy_static, initialExperience = task_1_initialExperience_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(initialEnergy: int, initialExperience: int, list_1: List[int], experience: List[int]) -> int:\n sum_energy = sum(list_1)\n energy_hours = max(0, sum_energy + 1 - initialEnergy)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "101", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":75,\"native_task_name\":\"minNumberOfHours:list\",\"output_value\":101}]"} {"id": "python/single_target_baseline/75/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 75, "target_native_task_name": "minNumberOfHours:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-56, 48, 98, -90, 65, 78, -85, 79, -89, -25]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_initialEnergy_static = -81.\nDefine task_1_initialExperience_static = 24.\nDefine task_1_experience_static = [-84, 46, 56, -59, 92, 65, 79, 30, 65, 71].\nTrace the execution of task_1 with inputs initialEnergy = task_1_initialEnergy_static, initialExperience = task_1_initialExperience_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(initialEnergy: int, initialExperience: int, list_1: List[int], experience: List[int]) -> int:\n sum_energy = sum(list_1)\n energy_hours = max(0, sum_energy + 1 - initialEnergy)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "215", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":75,\"native_task_name\":\"minNumberOfHours:list\",\"output_value\":215}]"} {"id": "python/single_target_baseline/75/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 75, "target_native_task_name": "minNumberOfHours:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [33, -82, 86, 100, -49, 59, -66, -26, -19, -56]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_initialEnergy_static = -30.\nDefine task_1_initialExperience_static = -20.\nDefine task_1_experience_static = [-68, 72, -2, 92, -36, 72, 90, 7, -85, -69].\nTrace the execution of task_1 with inputs initialEnergy = task_1_initialEnergy_static, initialExperience = task_1_initialExperience_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(initialEnergy: int, initialExperience: int, list_1: List[int], experience: List[int]) -> int:\n sum_energy = sum(list_1)\n energy_hours = max(0, sum_energy + 1 - initialEnergy)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "161", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":75,\"native_task_name\":\"minNumberOfHours:list\",\"output_value\":161}]"} {"id": "python/single_target_baseline/75/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 75, "target_native_task_name": "minNumberOfHours:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [91, -65, -43, 28, 33, -67, 97, 42, 46, -87]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_initialEnergy_static = -49.\nDefine task_1_initialExperience_static = -66.\nDefine task_1_experience_static = [-20, 64, -35, 50, 52, -50, 69, 72, -52, 53].\nTrace the execution of task_1 with inputs initialEnergy = task_1_initialEnergy_static, initialExperience = task_1_initialExperience_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(initialEnergy: int, initialExperience: int, list_1: List[int], experience: List[int]) -> int:\n sum_energy = sum(list_1)\n energy_hours = max(0, sum_energy + 1 - initialEnergy)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "276", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":75,\"native_task_name\":\"minNumberOfHours:list\",\"output_value\":276}]"} {"id": "python/single_target_baseline/75/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 75, "target_native_task_name": "minNumberOfHours:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [95, -29, 80, -56, 69, 70, 98, -98, 79, 20]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_initialEnergy_static = -99.\nDefine task_1_initialExperience_static = 81.\nDefine task_1_experience_static = [-30, -46, 7, -96, 70, 40, -54, 59, -79, 63].\nTrace the execution of task_1 with inputs initialEnergy = task_1_initialEnergy_static, initialExperience = task_1_initialExperience_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(initialEnergy: int, initialExperience: int, list_1: List[int], experience: List[int]) -> int:\n sum_energy = sum(list_1)\n energy_hours = max(0, sum_energy + 1 - initialEnergy)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "583", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":75,\"native_task_name\":\"minNumberOfHours:list\",\"output_value\":583}]"} {"id": "python/single_target_baseline/75/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 75, "target_native_task_name": "minNumberOfHours:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-80, 47, -77, -23, -26, 9, 11, 27, 60, -60]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_initialEnergy_static = -57.\nDefine task_1_initialExperience_static = 18.\nDefine task_1_experience_static = [-74, 20, 62, 27, -12, 80, 29, -8, -89, -42].\nTrace the execution of task_1 with inputs initialEnergy = task_1_initialEnergy_static, initialExperience = task_1_initialExperience_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(initialEnergy: int, initialExperience: int, list_1: List[int], experience: List[int]) -> int:\n sum_energy = sum(list_1)\n energy_hours = max(0, sum_energy + 1 - initialEnergy)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "99", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":75,\"native_task_name\":\"minNumberOfHours:list\",\"output_value\":99}]"} {"id": "python/single_target_baseline/75/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 75, "target_native_task_name": "minNumberOfHours:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-32, -76, 77, -77, -10, 70, -45, -78, -90, 24]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_initialEnergy_static = -18.\nDefine task_1_initialExperience_static = 15.\nDefine task_1_experience_static = [33, 0, -7, 35, 11, 97, 40, 20, 66, 96].\nTrace the execution of task_1 with inputs initialEnergy = task_1_initialEnergy_static, initialExperience = task_1_initialExperience_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(initialEnergy: int, initialExperience: int, list_1: List[int], experience: List[int]) -> int:\n sum_energy = sum(list_1)\n energy_hours = max(0, sum_energy + 1 - initialEnergy)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "19", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":75,\"native_task_name\":\"minNumberOfHours:list\",\"output_value\":19}]"} {"id": "python/single_target_baseline/75/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 75, "target_native_task_name": "minNumberOfHours:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [93, 57, -59, -34, -77, -44, 84, -37, 79, -60]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_initialEnergy_static = -22.\nDefine task_1_initialExperience_static = -12.\nDefine task_1_experience_static = [-50, -84, 39, 4, 67, 42, 25, -88, 93, -78].\nTrace the execution of task_1 with inputs initialEnergy = task_1_initialEnergy_static, initialExperience = task_1_initialExperience_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(initialEnergy: int, initialExperience: int, list_1: List[int], experience: List[int]) -> int:\n sum_energy = sum(list_1)\n energy_hours = max(0, sum_energy + 1 - initialEnergy)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "211", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":75,\"native_task_name\":\"minNumberOfHours:list\",\"output_value\":211}]"} {"id": "python/single_target_baseline/75/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 75, "target_native_task_name": "minNumberOfHours:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-51, -72, -78, 87, -82, 100, 72, 46, -54, 59]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_initialEnergy_static = 31.\nDefine task_1_initialExperience_static = -13.\nDefine task_1_experience_static = [-14, -47, -5, -27, 70, -79, 49, 76, -24, -75].\nTrace the execution of task_1 with inputs initialEnergy = task_1_initialEnergy_static, initialExperience = task_1_initialExperience_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(initialEnergy: int, initialExperience: int, list_1: List[int], experience: List[int]) -> int:\n sum_energy = sum(list_1)\n energy_hours = max(0, sum_energy + 1 - initialEnergy)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "177", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":75,\"native_task_name\":\"minNumberOfHours:list\",\"output_value\":177}]"} {"id": "python/single_target_baseline/75/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 75, "target_native_task_name": "minNumberOfHours:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [23, -63, 57, -52, -65, 69, -3, 27, 50, 46]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_initialEnergy_static = -51.\nDefine task_1_initialExperience_static = -56.\nDefine task_1_experience_static = [-62, 36, -52, 55, 48, 76, -18, 82, 28, 92].\nTrace the execution of task_1 with inputs initialEnergy = task_1_initialEnergy_static, initialExperience = task_1_initialExperience_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(initialEnergy: int, initialExperience: int, list_1: List[int], experience: List[int]) -> int:\n sum_energy = sum(list_1)\n energy_hours = max(0, sum_energy + 1 - initialEnergy)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "331", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":75,\"native_task_name\":\"minNumberOfHours:list\",\"output_value\":331}]"} {"id": "python/single_target_baseline/75/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 75, "target_native_task_name": "minNumberOfHours:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-5, 42, -44, 74, 24, 30, -98, 44, -64, -47]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_initialEnergy_static = 100.\nDefine task_1_initialExperience_static = -11.\nDefine task_1_experience_static = [4, -4, 47, -8, 85, 49, -33, 41, 5, -26].\nTrace the execution of task_1 with inputs initialEnergy = task_1_initialEnergy_static, initialExperience = task_1_initialExperience_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(initialEnergy: int, initialExperience: int, list_1: List[int], experience: List[int]) -> int:\n sum_energy = sum(list_1)\n energy_hours = max(0, sum_energy + 1 - initialEnergy)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "59", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":75,\"native_task_name\":\"minNumberOfHours:list\",\"output_value\":59}]"} {"id": "python/single_target_baseline/75/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 75, "target_native_task_name": "minNumberOfHours:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [24, -10, 12, -36, 5, 8, 39, 1, -83, -39]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_initialEnergy_static = 8.\nDefine task_1_initialExperience_static = -43.\nDefine task_1_experience_static = [-73, -43, -76, -68, -62, 4, 70, 54, -76, 100].\nTrace the execution of task_1 with inputs initialEnergy = task_1_initialEnergy_static, initialExperience = task_1_initialExperience_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(initialEnergy: int, initialExperience: int, list_1: List[int], experience: List[int]) -> int:\n sum_energy = sum(list_1)\n energy_hours = max(0, sum_energy + 1 - initialEnergy)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "432", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":75,\"native_task_name\":\"minNumberOfHours:list\",\"output_value\":432}]"} {"id": "python/single_target_baseline/75/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 75, "target_native_task_name": "minNumberOfHours:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-2, 30, -57, 40, 55, -38, -13, 59, 36, 83]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_initialEnergy_static = -13.\nDefine task_1_initialExperience_static = 39.\nDefine task_1_experience_static = [-75, 41, -75, -23, -65, 15, -78, -6, 34, -50].\nTrace the execution of task_1 with inputs initialEnergy = task_1_initialEnergy_static, initialExperience = task_1_initialExperience_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(initialEnergy: int, initialExperience: int, list_1: List[int], experience: List[int]) -> int:\n sum_energy = sum(list_1)\n energy_hours = max(0, sum_energy + 1 - initialEnergy)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "469", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":75,\"native_task_name\":\"minNumberOfHours:list\",\"output_value\":469}]"} {"id": "python/single_target_baseline/75/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 75, "target_native_task_name": "minNumberOfHours:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [60, -14, -68, 21, -30, 18, 4, 24, -94, 93]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_initialEnergy_static = -29.\nDefine task_1_initialExperience_static = 54.\nDefine task_1_experience_static = [-19, -25, -91, 88, -85, 90, -47, 33, 57, -79].\nTrace the execution of task_1 with inputs initialEnergy = task_1_initialEnergy_static, initialExperience = task_1_initialExperience_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(initialEnergy: int, initialExperience: int, list_1: List[int], experience: List[int]) -> int:\n sum_energy = sum(list_1)\n energy_hours = max(0, sum_energy + 1 - initialEnergy)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "214", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":75,\"native_task_name\":\"minNumberOfHours:list\",\"output_value\":214}]"} {"id": "python/single_target_baseline/75/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 75, "target_native_task_name": "minNumberOfHours:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-68, 8, 77, -70, 60, -27, 89, -2, 25, 89]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_initialEnergy_static = 51.\nDefine task_1_initialExperience_static = -55.\nDefine task_1_experience_static = [-26, 34, 91, 7, 93, 94, 44, 7, 0, -51].\nTrace the execution of task_1 with inputs initialEnergy = task_1_initialEnergy_static, initialExperience = task_1_initialExperience_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(initialEnergy: int, initialExperience: int, list_1: List[int], experience: List[int]) -> int:\n sum_energy = sum(list_1)\n energy_hours = max(0, sum_energy + 1 - initialEnergy)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "270", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":75,\"native_task_name\":\"minNumberOfHours:list\",\"output_value\":270}]"} {"id": "python/single_target_baseline/76/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 76, "target_native_task_name": "minNumberOfHours:scalar", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 74}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_initialExperience_static = -6.\nDefine task_1_energy_static = [-58, 15, 31, 48, -69, -7, 6, -34, 25, 95].\nDefine task_1_experience_static = [-47, 100, -50, 35, -38, 95, 10, -77, -82, -1].\nTrace the execution of task_1 with inputs initialExperience = task_1_initialExperience_static, energy = task_1_energy_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, initialExperience: int, energy: List[int], experience: List[int]) -> int:\n sum_energy = sum(energy)\n energy_hours = max(0, sum_energy + 1 - val_1)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "154", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":76,\"native_task_name\":\"minNumberOfHours:scalar\",\"output_value\":154}]"} {"id": "python/single_target_baseline/76/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 76, "target_native_task_name": "minNumberOfHours:scalar", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -63}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_initialExperience_static = -47.\nDefine task_1_energy_static = [78, -30, 77, 50, 73, 51, 5, 80, -84, -52].\nDefine task_1_experience_static = [-12, 43, 48, 30, -20, -26, -65, 94, -79, 70].\nTrace the execution of task_1 with inputs initialExperience = task_1_initialExperience_static, energy = task_1_energy_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, initialExperience: int, energy: List[int], experience: List[int]) -> int:\n sum_energy = sum(energy)\n energy_hours = max(0, sum_energy + 1 - val_1)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "456", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":76,\"native_task_name\":\"minNumberOfHours:scalar\",\"output_value\":456}]"} {"id": "python/single_target_baseline/76/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 76, "target_native_task_name": "minNumberOfHours:scalar", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 34}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_initialExperience_static = 46.\nDefine task_1_energy_static = [63, -23, -58, 35, -64, 39, -49, -63, 96, 32].\nDefine task_1_experience_static = [-33, -16, 49, -39, -88, 27, -52, -7, 28, -44].\nTrace the execution of task_1 with inputs initialExperience = task_1_initialExperience_static, energy = task_1_energy_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, initialExperience: int, energy: List[int], experience: List[int]) -> int:\n sum_energy = sum(energy)\n energy_hours = max(0, sum_energy + 1 - val_1)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "142", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":76,\"native_task_name\":\"minNumberOfHours:scalar\",\"output_value\":142}]"} {"id": "python/single_target_baseline/76/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 76, "target_native_task_name": "minNumberOfHours:scalar", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 50}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_initialExperience_static = 99.\nDefine task_1_energy_static = [7, 97, 98, -69, -18, 86, -81, -28, -54, 54].\nDefine task_1_experience_static = [35, 34, 63, -64, 83, 63, 58, -15, 19, 72].\nTrace the execution of task_1 with inputs initialExperience = task_1_initialExperience_static, energy = task_1_energy_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, initialExperience: int, energy: List[int], experience: List[int]) -> int:\n sum_energy = sum(energy)\n energy_hours = max(0, sum_energy + 1 - val_1)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "43", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":76,\"native_task_name\":\"minNumberOfHours:scalar\",\"output_value\":43}]"} {"id": "python/single_target_baseline/76/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 76, "target_native_task_name": "minNumberOfHours:scalar", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -8}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_initialExperience_static = -68.\nDefine task_1_energy_static = [79, -98, 20, -73, -64, -53, -7, -88, 86, 69].\nDefine task_1_experience_static = [-25, 93, -60, 14, 31, 6, -98, 64, -9, -49].\nTrace the execution of task_1 with inputs initialExperience = task_1_initialExperience_static, energy = task_1_energy_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, initialExperience: int, energy: List[int], experience: List[int]) -> int:\n sum_energy = sum(energy)\n energy_hours = max(0, sum_energy + 1 - val_1)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "187", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":76,\"native_task_name\":\"minNumberOfHours:scalar\",\"output_value\":187}]"} {"id": "python/single_target_baseline/76/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 76, "target_native_task_name": "minNumberOfHours:scalar", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -38}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_initialExperience_static = -43.\nDefine task_1_energy_static = [-90, 92, 11, -82, -7, -55, 99, 84, -14, 98].\nDefine task_1_experience_static = [54, 73, -40, 23, 12, 92, 96, 50, -62, -93].\nTrace the execution of task_1 with inputs initialExperience = task_1_initialExperience_static, energy = task_1_energy_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, initialExperience: int, energy: List[int], experience: List[int]) -> int:\n sum_energy = sum(energy)\n energy_hours = max(0, sum_energy + 1 - val_1)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "273", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":76,\"native_task_name\":\"minNumberOfHours:scalar\",\"output_value\":273}]"} {"id": "python/single_target_baseline/76/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 76, "target_native_task_name": "minNumberOfHours:scalar", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -61}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_initialExperience_static = -8.\nDefine task_1_energy_static = [-85, 52, -19, 22, 69, -96, -9, -70, 57, 69].\nDefine task_1_experience_static = [-45, -62, -42, -54, -93, 86, 67, -79, -94, -75].\nTrace the execution of task_1 with inputs initialExperience = task_1_initialExperience_static, energy = task_1_energy_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, initialExperience: int, energy: List[int], experience: List[int]) -> int:\n sum_energy = sum(energy)\n energy_hours = max(0, sum_energy + 1 - val_1)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "443", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":76,\"native_task_name\":\"minNumberOfHours:scalar\",\"output_value\":443}]"} {"id": "python/single_target_baseline/76/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 76, "target_native_task_name": "minNumberOfHours:scalar", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 64}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_initialExperience_static = 63.\nDefine task_1_energy_static = [-87, -69, -53, -18, 7, -4, 98, -52, -63, -30].\nDefine task_1_experience_static = [50, -11, -59, 87, 75, -18, -38, -86, -24, -46].\nTrace the execution of task_1 with inputs initialExperience = task_1_initialExperience_static, energy = task_1_energy_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, initialExperience: int, energy: List[int], experience: List[int]) -> int:\n sum_energy = sum(energy)\n energy_hours = max(0, sum_energy + 1 - val_1)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "45", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":76,\"native_task_name\":\"minNumberOfHours:scalar\",\"output_value\":45}]"} {"id": "python/single_target_baseline/76/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 76, "target_native_task_name": "minNumberOfHours:scalar", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -98}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_initialExperience_static = 8.\nDefine task_1_energy_static = [44, -46, 90, -28, 14, 86, 93, -88, -45, -59].\nDefine task_1_experience_static = [83, 12, 87, -23, 4, -6, -67, 97, -42, 32].\nTrace the execution of task_1 with inputs initialExperience = task_1_initialExperience_static, energy = task_1_energy_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, initialExperience: int, energy: List[int], experience: List[int]) -> int:\n sum_energy = sum(energy)\n energy_hours = max(0, sum_energy + 1 - val_1)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "236", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":76,\"native_task_name\":\"minNumberOfHours:scalar\",\"output_value\":236}]"} {"id": "python/single_target_baseline/76/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 76, "target_native_task_name": "minNumberOfHours:scalar", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 61}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_initialExperience_static = -23.\nDefine task_1_energy_static = [1, -31, -35, -21, -58, 51, -26, 75, -46, -69].\nDefine task_1_experience_static = [76, -13, -13, -27, -89, 13, -51, 88, -72, 30].\nTrace the execution of task_1 with inputs initialExperience = task_1_initialExperience_static, energy = task_1_energy_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, initialExperience: int, energy: List[int], experience: List[int]) -> int:\n sum_energy = sum(energy)\n energy_hours = max(0, sum_energy + 1 - val_1)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "216", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":76,\"native_task_name\":\"minNumberOfHours:scalar\",\"output_value\":216}]"} {"id": "python/single_target_baseline/76/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 76, "target_native_task_name": "minNumberOfHours:scalar", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -40}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_initialExperience_static = -21.\nDefine task_1_energy_static = [-38, -21, 56, -42, 81, -40, 73, -74, 27, 33].\nDefine task_1_experience_static = [28, -3, -83, -95, -90, -56, -76, 15, 95, 51].\nTrace the execution of task_1 with inputs initialExperience = task_1_initialExperience_static, energy = task_1_energy_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, initialExperience: int, energy: List[int], experience: List[int]) -> int:\n sum_energy = sum(energy)\n energy_hours = max(0, sum_energy + 1 - val_1)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "573", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":76,\"native_task_name\":\"minNumberOfHours:scalar\",\"output_value\":573}]"} {"id": "python/single_target_baseline/76/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 76, "target_native_task_name": "minNumberOfHours:scalar", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 16}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_initialExperience_static = 69.\nDefine task_1_energy_static = [86, -75, -89, 74, 63, 48, 23, -38, -88, -97].\nDefine task_1_experience_static = [-6, 54, 8, -51, -18, 5, 23, -73, 8, 22].\nTrace the execution of task_1 with inputs initialExperience = task_1_initialExperience_static, energy = task_1_energy_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, initialExperience: int, energy: List[int], experience: List[int]) -> int:\n sum_energy = sum(energy)\n energy_hours = max(0, sum_energy + 1 - val_1)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":76,\"native_task_name\":\"minNumberOfHours:scalar\",\"output_value\":4}]"} {"id": "python/single_target_baseline/76/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 76, "target_native_task_name": "minNumberOfHours:scalar", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -40}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_initialExperience_static = -85.\nDefine task_1_energy_static = [-78, -36, -88, 9, 9, 47, -36, 80, -66, 12].\nDefine task_1_experience_static = [4, -84, 10, -77, 51, -34, 30, 10, -52, 87].\nTrace the execution of task_1 with inputs initialExperience = task_1_initialExperience_static, energy = task_1_energy_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, initialExperience: int, energy: List[int], experience: List[int]) -> int:\n sum_energy = sum(energy)\n energy_hours = max(0, sum_energy + 1 - val_1)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "315", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":76,\"native_task_name\":\"minNumberOfHours:scalar\",\"output_value\":315}]"} {"id": "python/single_target_baseline/76/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 76, "target_native_task_name": "minNumberOfHours:scalar", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 25}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_initialExperience_static = 42.\nDefine task_1_energy_static = [61, -48, 46, -44, -44, 91, 48, -46, -63, -9].\nDefine task_1_experience_static = [2, 3, 59, 89, 49, 56, -63, 96, 93, 25].\nTrace the execution of task_1 with inputs initialExperience = task_1_initialExperience_static, energy = task_1_energy_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, initialExperience: int, energy: List[int], experience: List[int]) -> int:\n sum_energy = sum(energy)\n energy_hours = max(0, sum_energy + 1 - val_1)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "13", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":76,\"native_task_name\":\"minNumberOfHours:scalar\",\"output_value\":13}]"} {"id": "python/single_target_baseline/76/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 76, "target_native_task_name": "minNumberOfHours:scalar", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 96}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_initialExperience_static = -81.\nDefine task_1_energy_static = [65, -10, 96, 55, -61, 85, 49, 48, 47, -40].\nDefine task_1_experience_static = [81, 81, 76, 40, 44, 94, -10, 71, 55, 92].\nTrace the execution of task_1 with inputs initialExperience = task_1_initialExperience_static, energy = task_1_energy_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, initialExperience: int, energy: List[int], experience: List[int]) -> int:\n sum_energy = sum(energy)\n energy_hours = max(0, sum_energy + 1 - val_1)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "402", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":76,\"native_task_name\":\"minNumberOfHours:scalar\",\"output_value\":402}]"} {"id": "python/single_target_baseline/76/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 76, "target_native_task_name": "minNumberOfHours:scalar", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -54}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_initialExperience_static = 85.\nDefine task_1_energy_static = [72, 82, -64, 82, 3, -34, 18, -69, -64, 71].\nDefine task_1_experience_static = [-64, -53, 31, 47, -92, 0, -53, 94, -79, -24].\nTrace the execution of task_1 with inputs initialExperience = task_1_initialExperience_static, energy = task_1_energy_static, experience = task_1_experience_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, initialExperience: int, energy: List[int], experience: List[int]) -> int:\n sum_energy = sum(energy)\n energy_hours = max(0, sum_energy + 1 - val_1)\n exp_hours = 0\n current_exp = initialExperience\n for e in experience:\n if current_exp <= e:\n delta = e + 1 - current_exp\n exp_hours += delta\n current_exp += delta\n current_exp += e\n python_result_1 = energy_hours + exp_hours\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "346", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":76,\"native_task_name\":\"minNumberOfHours:scalar\",\"output_value\":346}]"} {"id": "python/single_target_baseline/77/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 77, "target_native_task_name": "minOperations:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [9, 98, 36, -66, 55, -78, 25, -91, -6, 81]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n g = []\n for x in list_1:\n (l, r) = (0, len(g))\n while l < r:\n mid = l + r >> 1\n if g[mid] < x:\n r = mid\n else:\n l = mid + 1\n if l == len(g):\n g.append(x)\n else:\n g[l] = x\n python_result_1 = len(g)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":77,\"native_task_name\":\"minOperations:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/77/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 77, "target_native_task_name": "minOperations:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-16, 28, 29, -83, 3, 82, -73, 78, -68, 30]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n g = []\n for x in list_1:\n (l, r) = (0, len(g))\n while l < r:\n mid = l + r >> 1\n if g[mid] < x:\n r = mid\n else:\n l = mid + 1\n if l == len(g):\n g.append(x)\n else:\n g[l] = x\n python_result_1 = len(g)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":77,\"native_task_name\":\"minOperations:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/77/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 77, "target_native_task_name": "minOperations:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [10, -83, 18, 42, -43, -9, 6, -82, -38, -43]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n g = []\n for x in list_1:\n (l, r) = (0, len(g))\n while l < r:\n mid = l + r >> 1\n if g[mid] < x:\n r = mid\n else:\n l = mid + 1\n if l == len(g):\n g.append(x)\n else:\n g[l] = x\n python_result_1 = len(g)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":77,\"native_task_name\":\"minOperations:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/77/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 77, "target_native_task_name": "minOperations:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [69, 51, 72, -2, 31, 33, -63, -20, -7, 48]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n g = []\n for x in list_1:\n (l, r) = (0, len(g))\n while l < r:\n mid = l + r >> 1\n if g[mid] < x:\n r = mid\n else:\n l = mid + 1\n if l == len(g):\n g.append(x)\n else:\n g[l] = x\n python_result_1 = len(g)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":77,\"native_task_name\":\"minOperations:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/77/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 77, "target_native_task_name": "minOperations:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [99, -87, 84, 99, -81, -50, 51, -85, -2, -4]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n g = []\n for x in list_1:\n (l, r) = (0, len(g))\n while l < r:\n mid = l + r >> 1\n if g[mid] < x:\n r = mid\n else:\n l = mid + 1\n if l == len(g):\n g.append(x)\n else:\n g[l] = x\n python_result_1 = len(g)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":77,\"native_task_name\":\"minOperations:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/77/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 77, "target_native_task_name": "minOperations:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [15, 80, -23, -90, 84, -58, -30, -65, 58, 37]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n g = []\n for x in list_1:\n (l, r) = (0, len(g))\n while l < r:\n mid = l + r >> 1\n if g[mid] < x:\n r = mid\n else:\n l = mid + 1\n if l == len(g):\n g.append(x)\n else:\n g[l] = x\n python_result_1 = len(g)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":77,\"native_task_name\":\"minOperations:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/77/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 77, "target_native_task_name": "minOperations:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [48, -68, -56, -78, -81, 8, 71, -65, -57, 0]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n g = []\n for x in list_1:\n (l, r) = (0, len(g))\n while l < r:\n mid = l + r >> 1\n if g[mid] < x:\n r = mid\n else:\n l = mid + 1\n if l == len(g):\n g.append(x)\n else:\n g[l] = x\n python_result_1 = len(g)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":77,\"native_task_name\":\"minOperations:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/77/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 77, "target_native_task_name": "minOperations:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [58, -84, -85, -59, 72, -11, 57, 33, -43, 68]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n g = []\n for x in list_1:\n (l, r) = (0, len(g))\n while l < r:\n mid = l + r >> 1\n if g[mid] < x:\n r = mid\n else:\n l = mid + 1\n if l == len(g):\n g.append(x)\n else:\n g[l] = x\n python_result_1 = len(g)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":77,\"native_task_name\":\"minOperations:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/77/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 77, "target_native_task_name": "minOperations:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [63, 27, -65, 5, -80, -89, 8, 85, -16, -81]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n g = []\n for x in list_1:\n (l, r) = (0, len(g))\n while l < r:\n mid = l + r >> 1\n if g[mid] < x:\n r = mid\n else:\n l = mid + 1\n if l == len(g):\n g.append(x)\n else:\n g[l] = x\n python_result_1 = len(g)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":77,\"native_task_name\":\"minOperations:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/77/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 77, "target_native_task_name": "minOperations:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-49, 33, 64, -60, 74, 11, 1, 42, 27, 12]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n g = []\n for x in list_1:\n (l, r) = (0, len(g))\n while l < r:\n mid = l + r >> 1\n if g[mid] < x:\n r = mid\n else:\n l = mid + 1\n if l == len(g):\n g.append(x)\n else:\n g[l] = x\n python_result_1 = len(g)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":77,\"native_task_name\":\"minOperations:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/77/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 77, "target_native_task_name": "minOperations:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [0, -9, 13, -34, -72, -34, 78, -82, 23, 68]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n g = []\n for x in list_1:\n (l, r) = (0, len(g))\n while l < r:\n mid = l + r >> 1\n if g[mid] < x:\n r = mid\n else:\n l = mid + 1\n if l == len(g):\n g.append(x)\n else:\n g[l] = x\n python_result_1 = len(g)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":77,\"native_task_name\":\"minOperations:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/77/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 77, "target_native_task_name": "minOperations:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [100, 69, 16, -78, -20, 59, 5, -81, 33, -24]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n g = []\n for x in list_1:\n (l, r) = (0, len(g))\n while l < r:\n mid = l + r >> 1\n if g[mid] < x:\n r = mid\n else:\n l = mid + 1\n if l == len(g):\n g.append(x)\n else:\n g[l] = x\n python_result_1 = len(g)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":77,\"native_task_name\":\"minOperations:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/77/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 77, "target_native_task_name": "minOperations:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-33, 14, -59, 45, -20, 99, 34, 18, 79, -37]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n g = []\n for x in list_1:\n (l, r) = (0, len(g))\n while l < r:\n mid = l + r >> 1\n if g[mid] < x:\n r = mid\n else:\n l = mid + 1\n if l == len(g):\n g.append(x)\n else:\n g[l] = x\n python_result_1 = len(g)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":77,\"native_task_name\":\"minOperations:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/77/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 77, "target_native_task_name": "minOperations:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [87, -13, 70, -96, -29, 39, 30, -85, -2, 25]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n g = []\n for x in list_1:\n (l, r) = (0, len(g))\n while l < r:\n mid = l + r >> 1\n if g[mid] < x:\n r = mid\n else:\n l = mid + 1\n if l == len(g):\n g.append(x)\n else:\n g[l] = x\n python_result_1 = len(g)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":77,\"native_task_name\":\"minOperations:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/77/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 77, "target_native_task_name": "minOperations:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [27, 44, -57, -85, 70, 4, -67, 58, 94, -67]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n g = []\n for x in list_1:\n (l, r) = (0, len(g))\n while l < r:\n mid = l + r >> 1\n if g[mid] < x:\n r = mid\n else:\n l = mid + 1\n if l == len(g):\n g.append(x)\n else:\n g[l] = x\n python_result_1 = len(g)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":77,\"native_task_name\":\"minOperations:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/77/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 77, "target_native_task_name": "minOperations:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [55, 27, -89, 69, -82, -60, 29, -3, 31, -3]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n g = []\n for x in list_1:\n (l, r) = (0, len(g))\n while l < r:\n mid = l + r >> 1\n if g[mid] < x:\n r = mid\n else:\n l = mid + 1\n if l == len(g):\n g.append(x)\n else:\n g[l] = x\n python_result_1 = len(g)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":77,\"native_task_name\":\"minOperations:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/78/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 78, "target_native_task_name": "dailyTemperatures:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-7, 41, -78, 59, -94, 22, -18, -31, 44, -98]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n n = len(list_1)\n ans = [0] * n\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1] - i\n stk.append(i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,2,1,0,1,3,2,1,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":78,\"native_task_name\":\"dailyTemperatures:list\",\"output_value\":[1,2,1,0,1,3,2,1,0,0]}]"} {"id": "python/single_target_baseline/78/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 78, "target_native_task_name": "dailyTemperatures:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-1, 14, -15, 98, -9, -10, 34, -35, -2, 60]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n n = len(list_1)\n ans = [0] * n\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1] - i\n stk.append(i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,2,1,0,2,1,3,1,1,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":78,\"native_task_name\":\"dailyTemperatures:list\",\"output_value\":[1,2,1,0,2,1,3,1,1,0]}]"} {"id": "python/single_target_baseline/78/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 78, "target_native_task_name": "dailyTemperatures:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [71, 57, -7, 35, -45, 89, -39, -1, -8, 80]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n n = len(list_1)\n ans = [0] * n\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1] - i\n stk.append(i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[5,4,1,2,1,0,1,2,1,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":78,\"native_task_name\":\"dailyTemperatures:list\",\"output_value\":[5,4,1,2,1,0,1,2,1,0]}]"} {"id": "python/single_target_baseline/78/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 78, "target_native_task_name": "dailyTemperatures:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-41, 97, -42, 6, -49, 9, -55, 62, 78, -87]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n n = len(list_1)\n ans = [0] * n\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1] - i\n stk.append(i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,0,1,2,1,2,1,1,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":78,\"native_task_name\":\"dailyTemperatures:list\",\"output_value\":[1,0,1,2,1,2,1,1,0,0]}]"} {"id": "python/single_target_baseline/78/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 78, "target_native_task_name": "dailyTemperatures:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [37, 59, 39, -96, -34, 30, -49, 95, -41, -3]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n n = len(list_1)\n ans = [0] * n\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1] - i\n stk.append(i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,6,5,1,1,2,1,0,1,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":78,\"native_task_name\":\"dailyTemperatures:list\",\"output_value\":[1,6,5,1,1,2,1,0,1,0]}]"} {"id": "python/single_target_baseline/78/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 78, "target_native_task_name": "dailyTemperatures:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [99, 80, -92, -63, -33, -48, 92, -88, -48, -91]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n n = len(list_1)\n ans = [0] * n\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1] - i\n stk.append(i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[0,5,1,1,2,1,0,1,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":78,\"native_task_name\":\"dailyTemperatures:list\",\"output_value\":[0,5,1,1,2,1,0,1,0,0]}]"} {"id": "python/single_target_baseline/78/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 78, "target_native_task_name": "dailyTemperatures:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-49, -52, 94, -80, 91, -68, -89, 1, 65, -20]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n n = len(list_1)\n ans = [0] * n\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1] - i\n stk.append(i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,1,0,1,0,2,1,1,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":78,\"native_task_name\":\"dailyTemperatures:list\",\"output_value\":[2,1,0,1,0,2,1,1,0,0]}]"} {"id": "python/single_target_baseline/78/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 78, "target_native_task_name": "dailyTemperatures:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [69, -19, -41, -59, 77, -2, -46, 23, -21, -61]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n n = len(list_1)\n ans = [0] * n\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1] - i\n stk.append(i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[4,3,2,1,0,2,1,0,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":78,\"native_task_name\":\"dailyTemperatures:list\",\"output_value\":[4,3,2,1,0,2,1,0,0,0]}]"} {"id": "python/single_target_baseline/78/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 78, "target_native_task_name": "dailyTemperatures:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [42, 83, -68, -26, -52, 29, -93, -33, -12, -13]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n n = len(list_1)\n ans = [0] * n\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1] - i\n stk.append(i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,0,1,2,1,0,1,1,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":78,\"native_task_name\":\"dailyTemperatures:list\",\"output_value\":[1,0,1,2,1,0,1,1,0,0]}]"} {"id": "python/single_target_baseline/78/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 78, "target_native_task_name": "dailyTemperatures:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-46, -26, 9, -83, 73, 68, 66, 96, -51, 79]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n n = len(list_1)\n ans = [0] * n\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1] - i\n stk.append(i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,1,2,1,3,2,1,0,1,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":78,\"native_task_name\":\"dailyTemperatures:list\",\"output_value\":[1,1,2,1,3,2,1,0,1,0]}]"} {"id": "python/single_target_baseline/78/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 78, "target_native_task_name": "dailyTemperatures:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-13, 75, 88, 63, -46, 25, 42, -78, 21, -7]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n n = len(list_1)\n ans = [0] * n\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1] - i\n stk.append(i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,1,0,0,1,1,0,1,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":78,\"native_task_name\":\"dailyTemperatures:list\",\"output_value\":[1,1,0,0,1,1,0,1,0,0]}]"} {"id": "python/single_target_baseline/78/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 78, "target_native_task_name": "dailyTemperatures:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-78, 52, -85, -10, -60, 7, 90, 6, -24, 13]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n n = len(list_1)\n ans = [0] * n\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1] - i\n stk.append(i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,5,1,2,1,1,0,2,1,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":78,\"native_task_name\":\"dailyTemperatures:list\",\"output_value\":[1,5,1,2,1,1,0,2,1,0]}]"} {"id": "python/single_target_baseline/78/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 78, "target_native_task_name": "dailyTemperatures:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-37, 59, 35, 67, 61, -48, -89, -45, -44, -80]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n n = len(list_1)\n ans = [0] * n\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1] - i\n stk.append(i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,2,1,0,0,2,1,1,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":78,\"native_task_name\":\"dailyTemperatures:list\",\"output_value\":[1,2,1,0,0,2,1,1,0,0]}]"} {"id": "python/single_target_baseline/78/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 78, "target_native_task_name": "dailyTemperatures:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-42, -69, 39, 56, 76, -79, -36, 97, 16, -74]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n n = len(list_1)\n ans = [0] * n\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1] - i\n stk.append(i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,1,1,1,3,1,1,0,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":78,\"native_task_name\":\"dailyTemperatures:list\",\"output_value\":[2,1,1,1,3,1,1,0,0,0]}]"} {"id": "python/single_target_baseline/78/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 78, "target_native_task_name": "dailyTemperatures:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [62, 32, -57, 22, -88, -86, 84, -17, 15, 39]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n n = len(list_1)\n ans = [0] * n\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1] - i\n stk.append(i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[6,5,1,3,1,1,0,1,1,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":78,\"native_task_name\":\"dailyTemperatures:list\",\"output_value\":[6,5,1,3,1,1,0,1,1,0]}]"} {"id": "python/single_target_baseline/78/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 78, "target_native_task_name": "dailyTemperatures:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [19, -85, -47, -41, -65, -16, 66, -82, 82, 0]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n stk = []\n n = len(list_1)\n ans = [0] * n\n for i in range(n - 1, -1, -1):\n while stk and list_1[stk[-1]] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1] - i\n stk.append(i)\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[6,1,1,2,1,1,2,1,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":78,\"native_task_name\":\"dailyTemperatures:list\",\"output_value\":[6,1,1,2,1,1,2,1,0,0]}]"} {"id": "python/single_target_baseline/79/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 79, "target_native_task_name": "maximumsSplicedArray:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-37, 63, 54, -94, 37, -69, -29, -2, -51, 32]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [32, 22, -50, -3, 79, -21, -46, 57, -62, -82].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n def f(nums1, nums2):\n d = [a - b for (a, b) in zip(nums1, nums2)]\n t = mx = d[0]\n for v in d[1:]:\n if t > 0:\n t += v\n else:\n t = v\n mx = max(mx, t)\n return mx\n (s1, s2) = (sum(list_1), sum(nums2))\n python_result_1 = max(s2 + f(list_1, nums2), s1 + f(nums2, list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "127", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":79,\"native_task_name\":\"maximumsSplicedArray:list\",\"output_value\":127}]"} {"id": "python/single_target_baseline/79/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 79, "target_native_task_name": "maximumsSplicedArray:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [34, 83, 21, -12, 75, 9, -4, 83, 41, -56]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-91, 14, -52, 24, -87, -87, -39, 30, 7, 26].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n def f(nums1, nums2):\n d = [a - b for (a, b) in zip(nums1, nums2)]\n t = mx = d[0]\n for v in d[1:]:\n if t > 0:\n t += v\n else:\n t = v\n mx = max(mx, t)\n return mx\n (s1, s2) = (sum(list_1), sum(nums2))\n python_result_1 = max(s2 + f(list_1, nums2), s1 + f(nums2, list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "356", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":79,\"native_task_name\":\"maximumsSplicedArray:list\",\"output_value\":356}]"} {"id": "python/single_target_baseline/79/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 79, "target_native_task_name": "maximumsSplicedArray:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [47, 39, 34, -40, -7, 27, 10, 63, -1, -96]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [57, 96, 53, 29, -53, 88, -13, -54, -2, 59].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n def f(nums1, nums2):\n d = [a - b for (a, b) in zip(nums1, nums2)]\n t = mx = d[0]\n for v in d[1:]:\n if t > 0:\n t += v\n else:\n t = v\n mx = max(mx, t)\n return mx\n (s1, s2) = (sum(list_1), sum(nums2))\n python_result_1 = max(s2 + f(list_1, nums2), s1 + f(nums2, list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "401", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":79,\"native_task_name\":\"maximumsSplicedArray:list\",\"output_value\":401}]"} {"id": "python/single_target_baseline/79/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 79, "target_native_task_name": "maximumsSplicedArray:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-30, -24, 43, -89, -36, 12, -65, 53, -92, 3]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-98, -40, -34, 89, 60, -54, -30, -82, -76, 26].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n def f(nums1, nums2):\n d = [a - b for (a, b) in zip(nums1, nums2)]\n t = mx = d[0]\n for v in d[1:]:\n if t > 0:\n t += v\n else:\n t = v\n mx = max(mx, t)\n return mx\n (s1, s2) = (sum(list_1), sum(nums2))\n python_result_1 = max(s2 + f(list_1, nums2), s1 + f(nums2, list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "49", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":79,\"native_task_name\":\"maximumsSplicedArray:list\",\"output_value\":49}]"} {"id": "python/single_target_baseline/79/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 79, "target_native_task_name": "maximumsSplicedArray:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [95, 44, 2, 44, 33, -98, 49, -34, -83, 71]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-75, -54, 76, -63, 36, -23, -71, -4, 26, -20].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n def f(nums1, nums2):\n d = [a - b for (a, b) in zip(nums1, nums2)]\n t = mx = d[0]\n for v in d[1:]:\n if t > 0:\n t += v\n else:\n t = v\n mx = max(mx, t)\n return mx\n (s1, s2) = (sum(list_1), sum(nums2))\n python_result_1 = max(s2 + f(list_1, nums2), s1 + f(nums2, list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "262", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":79,\"native_task_name\":\"maximumsSplicedArray:list\",\"output_value\":262}]"} {"id": "python/single_target_baseline/79/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 79, "target_native_task_name": "maximumsSplicedArray:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [49, -60, 40, -26, -59, 4, -21, -1, 24, 34]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [26, -67, 38, 63, -12, -59, -24, 54, 98, 71].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n def f(nums1, nums2):\n d = [a - b for (a, b) in zip(nums1, nums2)]\n t = mx = d[0]\n for v in d[1:]:\n if t > 0:\n t += v\n else:\n t = v\n mx = max(mx, t)\n return mx\n (s1, s2) = (sum(list_1), sum(nums2))\n python_result_1 = max(s2 + f(list_1, nums2), s1 + f(nums2, list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "254", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":79,\"native_task_name\":\"maximumsSplicedArray:list\",\"output_value\":254}]"} {"id": "python/single_target_baseline/79/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 79, "target_native_task_name": "maximumsSplicedArray:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [78, 95, 34, -66, 36, 43, 66, -48, 27, -80]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-8, -42, -3, 28, 18, 17, -15, -100, -51, 70].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n def f(nums1, nums2):\n d = [a - b for (a, b) in zip(nums1, nums2)]\n t = mx = d[0]\n for v in d[1:]:\n if t > 0:\n t += v\n else:\n t = v\n mx = max(mx, t)\n return mx\n (s1, s2) = (sum(list_1), sum(nums2))\n python_result_1 = max(s2 + f(list_1, nums2), s1 + f(nums2, list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "335", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":79,\"native_task_name\":\"maximumsSplicedArray:list\",\"output_value\":335}]"} {"id": "python/single_target_baseline/79/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 79, "target_native_task_name": "maximumsSplicedArray:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [0, 34, -97, -91, -40, -5, -39, 69, 25, -77]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [58, 23, -88, 67, -95, 76, -19, 81, 64, 67].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n def f(nums1, nums2):\n d = [a - b for (a, b) in zip(nums1, nums2)]\n t = mx = d[0]\n for v in d[1:]:\n if t > 0:\n t += v\n else:\n t = v\n mx = max(mx, t)\n return mx\n (s1, s2) = (sum(list_1), sum(nums2))\n python_result_1 = max(s2 + f(list_1, nums2), s1 + f(nums2, list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "289", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":79,\"native_task_name\":\"maximumsSplicedArray:list\",\"output_value\":289}]"} {"id": "python/single_target_baseline/79/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 79, "target_native_task_name": "maximumsSplicedArray:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [67, 26, 56, 67, -22, 71, 58, 64, 53, 82]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [88, -48, 67, -46, -46, -69, 99, 100, 99, -96].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n def f(nums1, nums2):\n d = [a - b for (a, b) in zip(nums1, nums2)]\n t = mx = d[0]\n for v in d[1:]:\n if t > 0:\n t += v\n else:\n t = v\n mx = max(mx, t)\n return mx\n (s1, s2) = (sum(list_1), sum(nums2))\n python_result_1 = max(s2 + f(list_1, nums2), s1 + f(nums2, list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "645", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":79,\"native_task_name\":\"maximumsSplicedArray:list\",\"output_value\":645}]"} {"id": "python/single_target_baseline/79/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 79, "target_native_task_name": "maximumsSplicedArray:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-38, 13, -46, 41, 11, -50, 84, 5, -48, 18]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [96, 55, 22, -20, 22, -44, -55, 81, -46, -80].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n def f(nums1, nums2):\n d = [a - b for (a, b) in zip(nums1, nums2)]\n t = mx = d[0]\n for v in d[1:]:\n if t > 0:\n t += v\n else:\n t = v\n mx = max(mx, t)\n return mx\n (s1, s2) = (sum(list_1), sum(nums2))\n python_result_1 = max(s2 + f(list_1, nums2), s1 + f(nums2, list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "234", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":79,\"native_task_name\":\"maximumsSplicedArray:list\",\"output_value\":234}]"} {"id": "python/single_target_baseline/79/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 79, "target_native_task_name": "maximumsSplicedArray:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-68, 38, -90, 24, -89, -81, -38, 96, 29, 68]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [94, -81, -1, -38, -13, 41, 20, 83, 46, -71].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n def f(nums1, nums2):\n d = [a - b for (a, b) in zip(nums1, nums2)]\n t = mx = d[0]\n for v in d[1:]:\n if t > 0:\n t += v\n else:\n t = v\n mx = max(mx, t)\n return mx\n (s1, s2) = (sum(list_1), sum(nums2))\n python_result_1 = max(s2 + f(list_1, nums2), s1 + f(nums2, list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "219", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":79,\"native_task_name\":\"maximumsSplicedArray:list\",\"output_value\":219}]"} {"id": "python/single_target_baseline/79/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 79, "target_native_task_name": "maximumsSplicedArray:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [62, -57, 77, -42, -68, -7, 33, -77, -34, 22]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-41, 75, 24, -31, -65, -69, 35, 81, 59, 94].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n def f(nums1, nums2):\n d = [a - b for (a, b) in zip(nums1, nums2)]\n t = mx = d[0]\n for v in d[1:]:\n if t > 0:\n t += v\n else:\n t = v\n mx = max(mx, t)\n return mx\n (s1, s2) = (sum(list_1), sum(nums2))\n python_result_1 = max(s2 + f(list_1, nums2), s1 + f(nums2, list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "265", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":79,\"native_task_name\":\"maximumsSplicedArray:list\",\"output_value\":265}]"} {"id": "python/single_target_baseline/79/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 79, "target_native_task_name": "maximumsSplicedArray:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-11, 15, -97, -85, -44, -74, 51, 83, -24, 39]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-62, -9, -87, -25, 81, -82, -77, -64, 49, 75].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n def f(nums1, nums2):\n d = [a - b for (a, b) in zip(nums1, nums2)]\n t = mx = d[0]\n for v in d[1:]:\n if t > 0:\n t += v\n else:\n t = v\n mx = max(mx, t)\n return mx\n (s1, s2) = (sum(list_1), sum(nums2))\n python_result_1 = max(s2 + f(list_1, nums2), s1 + f(nums2, list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "82", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":79,\"native_task_name\":\"maximumsSplicedArray:list\",\"output_value\":82}]"} {"id": "python/single_target_baseline/79/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 79, "target_native_task_name": "maximumsSplicedArray:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [96, 36, -39, -88, -72, -58, 85, -29, -49, 25]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-90, 66, 96, 46, -89, 40, 4, 71, 46, 9].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n def f(nums1, nums2):\n d = [a - b for (a, b) in zip(nums1, nums2)]\n t = mx = d[0]\n for v in d[1:]:\n if t > 0:\n t += v\n else:\n t = v\n mx = max(mx, t)\n return mx\n (s1, s2) = (sum(list_1), sum(nums2))\n python_result_1 = max(s2 + f(list_1, nums2), s1 + f(nums2, list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "401", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":79,\"native_task_name\":\"maximumsSplicedArray:list\",\"output_value\":401}]"} {"id": "python/single_target_baseline/79/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 79, "target_native_task_name": "maximumsSplicedArray:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-72, -63, 82, 0, 3, -82, -96, -41, 29, 53]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-20, -74, -90, -86, -28, 61, -71, -85, -47, -65].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n def f(nums1, nums2):\n d = [a - b for (a, b) in zip(nums1, nums2)]\n t = mx = d[0]\n for v in d[1:]:\n if t > 0:\n t += v\n else:\n t = v\n mx = max(mx, t)\n return mx\n (s1, s2) = (sum(list_1), sum(nums2))\n python_result_1 = max(s2 + f(list_1, nums2), s1 + f(nums2, list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "-19", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":79,\"native_task_name\":\"maximumsSplicedArray:list\",\"output_value\":-19}]"} {"id": "python/single_target_baseline/79/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 79, "target_native_task_name": "maximumsSplicedArray:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-95, -92, 66, 52, 47, -51, -79, 28, -39, -45]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_nums2_static = [-96, -11, -14, 19, 80, -56, -9, 39, 58, 72].\nTrace the execution of task_1 with inputs nums2 = task_1_nums2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], nums2: List[int]) -> int:\n def f(nums1, nums2):\n d = [a - b for (a, b) in zip(nums1, nums2)]\n t = mx = d[0]\n for v in d[1:]:\n if t > 0:\n t += v\n else:\n t = v\n mx = max(mx, t)\n return mx\n (s1, s2) = (sum(list_1), sum(nums2))\n python_result_1 = max(s2 + f(list_1, nums2), s1 + f(nums2, list_1))\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "195", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":79,\"native_task_name\":\"maximumsSplicedArray:list\",\"output_value\":195}]"} {"id": "python/single_target_baseline/80/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 80, "target_native_task_name": "distinctPrimeFactors:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [75, -77, 84, -6, -13, -98, 21, 70, 36, 87]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n s = set()\n for n in list_1:\n i = 2\n while i <= n // i:\n if n % i == 0:\n s.add(i)\n while n % i == 0:\n n //= i\n i += 1\n if n > 1:\n s.add(n)\n python_result_1 = len(s)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":80,\"native_task_name\":\"distinctPrimeFactors:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/80/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 80, "target_native_task_name": "distinctPrimeFactors:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-42, 63, -50, -45, -37, 22, 7, -98, -43, 19]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n s = set()\n for n in list_1:\n i = 2\n while i <= n // i:\n if n % i == 0:\n s.add(i)\n while n % i == 0:\n n //= i\n i += 1\n if n > 1:\n s.add(n)\n python_result_1 = len(s)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":80,\"native_task_name\":\"distinctPrimeFactors:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/80/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 80, "target_native_task_name": "distinctPrimeFactors:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [42, 50, 37, 63, -1, -76, -81, -52, 32, -83]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n s = set()\n for n in list_1:\n i = 2\n while i <= n // i:\n if n % i == 0:\n s.add(i)\n while n % i == 0:\n n //= i\n i += 1\n if n > 1:\n s.add(n)\n python_result_1 = len(s)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":80,\"native_task_name\":\"distinctPrimeFactors:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/80/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 80, "target_native_task_name": "distinctPrimeFactors:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-22, 13, -39, -88, -94, 55, 5, -28, -3, -100]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n s = set()\n for n in list_1:\n i = 2\n while i <= n // i:\n if n % i == 0:\n s.add(i)\n while n % i == 0:\n n //= i\n i += 1\n if n > 1:\n s.add(n)\n python_result_1 = len(s)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":80,\"native_task_name\":\"distinctPrimeFactors:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/80/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 80, "target_native_task_name": "distinctPrimeFactors:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-82, 100, 60, -90, -70, 60, 96, 77, 89, 53]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n s = set()\n for n in list_1:\n i = 2\n while i <= n // i:\n if n % i == 0:\n s.add(i)\n while n % i == 0:\n n //= i\n i += 1\n if n > 1:\n s.add(n)\n python_result_1 = len(s)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":80,\"native_task_name\":\"distinctPrimeFactors:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/80/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 80, "target_native_task_name": "distinctPrimeFactors:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [7, 93, -17, 86, -81, 82, -24, -25, 61, -22]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n s = set()\n for n in list_1:\n i = 2\n while i <= n // i:\n if n % i == 0:\n s.add(i)\n while n % i == 0:\n n //= i\n i += 1\n if n > 1:\n s.add(n)\n python_result_1 = len(s)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":80,\"native_task_name\":\"distinctPrimeFactors:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/80/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 80, "target_native_task_name": "distinctPrimeFactors:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [40, 11, -58, -81, 55, 61, -96, -60, 52, 62]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n s = set()\n for n in list_1:\n i = 2\n while i <= n // i:\n if n % i == 0:\n s.add(i)\n while n % i == 0:\n n //= i\n i += 1\n if n > 1:\n s.add(n)\n python_result_1 = len(s)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":80,\"native_task_name\":\"distinctPrimeFactors:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/80/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 80, "target_native_task_name": "distinctPrimeFactors:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-67, 83, 27, -90, -31, -35, -62, 4, 88, -62]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n s = set()\n for n in list_1:\n i = 2\n while i <= n // i:\n if n % i == 0:\n s.add(i)\n while n % i == 0:\n n //= i\n i += 1\n if n > 1:\n s.add(n)\n python_result_1 = len(s)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":80,\"native_task_name\":\"distinctPrimeFactors:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/80/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 80, "target_native_task_name": "distinctPrimeFactors:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-67, 66, -65, -87, -9, -62, -57, -54, 11, -7]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n s = set()\n for n in list_1:\n i = 2\n while i <= n // i:\n if n % i == 0:\n s.add(i)\n while n % i == 0:\n n //= i\n i += 1\n if n > 1:\n s.add(n)\n python_result_1 = len(s)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":80,\"native_task_name\":\"distinctPrimeFactors:list\",\"output_value\":3}]"} {"id": "python/single_target_baseline/80/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 80, "target_native_task_name": "distinctPrimeFactors:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [28, 71, 46, 38, 69, 33, 1, -78, 5, 92]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n s = set()\n for n in list_1:\n i = 2\n while i <= n // i:\n if n % i == 0:\n s.add(i)\n while n % i == 0:\n n //= i\n i += 1\n if n > 1:\n s.add(n)\n python_result_1 = len(s)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":80,\"native_task_name\":\"distinctPrimeFactors:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/80/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 80, "target_native_task_name": "distinctPrimeFactors:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [33, -37, -19, 58, -75, -88, -22, 24, 0, -92]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n s = set()\n for n in list_1:\n i = 2\n while i <= n // i:\n if n % i == 0:\n s.add(i)\n while n % i == 0:\n n //= i\n i += 1\n if n > 1:\n s.add(n)\n python_result_1 = len(s)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":80,\"native_task_name\":\"distinctPrimeFactors:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/80/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 80, "target_native_task_name": "distinctPrimeFactors:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-66, 78, -52, -65, -54, -59, -8, -64, 22, -65]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n s = set()\n for n in list_1:\n i = 2\n while i <= n // i:\n if n % i == 0:\n s.add(i)\n while n % i == 0:\n n //= i\n i += 1\n if n > 1:\n s.add(n)\n python_result_1 = len(s)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":80,\"native_task_name\":\"distinctPrimeFactors:list\",\"output_value\":4}]"} {"id": "python/single_target_baseline/80/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 80, "target_native_task_name": "distinctPrimeFactors:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-72, -33, -26, 78, 9, 7, 54, -77, 85, 7]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n s = set()\n for n in list_1:\n i = 2\n while i <= n // i:\n if n % i == 0:\n s.add(i)\n while n % i == 0:\n n //= i\n i += 1\n if n > 1:\n s.add(n)\n python_result_1 = len(s)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":80,\"native_task_name\":\"distinctPrimeFactors:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/80/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 80, "target_native_task_name": "distinctPrimeFactors:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-64, 26, -89, -67, -88, -55, 46, 49, 18, 25]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n s = set()\n for n in list_1:\n i = 2\n while i <= n // i:\n if n % i == 0:\n s.add(i)\n while n % i == 0:\n n //= i\n i += 1\n if n > 1:\n s.add(n)\n python_result_1 = len(s)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":80,\"native_task_name\":\"distinctPrimeFactors:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/80/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 80, "target_native_task_name": "distinctPrimeFactors:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-82, -95, 21, 56, 5, 47, 62, -72, -56, 82]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n s = set()\n for n in list_1:\n i = 2\n while i <= n // i:\n if n % i == 0:\n s.add(i)\n while n % i == 0:\n n //= i\n i += 1\n if n > 1:\n s.add(n)\n python_result_1 = len(s)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":80,\"native_task_name\":\"distinctPrimeFactors:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/80/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 80, "target_native_task_name": "distinctPrimeFactors:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [15, 75, -87, -30, 13, -80, -43, 70, -59, 37]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n s = set()\n for n in list_1:\n i = 2\n while i <= n // i:\n if n % i == 0:\n s.add(i)\n while n % i == 0:\n n //= i\n i += 1\n if n > 1:\n s.add(n)\n python_result_1 = len(s)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":80,\"native_task_name\":\"distinctPrimeFactors:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/81/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 81, "target_native_task_name": "getMaxLen:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-61, 50, -95, 77, 38, -5, 96, -96, 29, 48]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [0] * n\n g = [0] * n\n f[0] = int(list_1[0] > 0)\n g[0] = int(list_1[0] < 0)\n ans = f[0]\n for i in range(1, n):\n if list_1[i] > 0:\n f[i] = f[i - 1] + 1\n g[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n elif list_1[i] < 0:\n f[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n g[i] = f[i - 1] + 1\n ans = max(ans, f[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":81,\"native_task_name\":\"getMaxLen:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/81/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 81, "target_native_task_name": "getMaxLen:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-48, 55, 89, -1, -20, 93, 13, 31, 95, 92]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [0] * n\n g = [0] * n\n f[0] = int(list_1[0] > 0)\n g[0] = int(list_1[0] < 0)\n ans = f[0]\n for i in range(1, n):\n if list_1[i] > 0:\n f[i] = f[i - 1] + 1\n g[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n elif list_1[i] < 0:\n f[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n g[i] = f[i - 1] + 1\n ans = max(ans, f[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":81,\"native_task_name\":\"getMaxLen:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/81/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 81, "target_native_task_name": "getMaxLen:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [58, 8, -47, -10, 61, -77, -14, 80, -41, 64]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [0] * n\n g = [0] * n\n f[0] = int(list_1[0] > 0)\n g[0] = int(list_1[0] < 0)\n ans = f[0]\n for i in range(1, n):\n if list_1[i] > 0:\n f[i] = f[i - 1] + 1\n g[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n elif list_1[i] < 0:\n f[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n g[i] = f[i - 1] + 1\n ans = max(ans, f[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":81,\"native_task_name\":\"getMaxLen:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/81/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 81, "target_native_task_name": "getMaxLen:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [92, 17, -22, 90, -82, 23, -20, 66, 18, -42]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [0] * n\n g = [0] * n\n f[0] = int(list_1[0] > 0)\n g[0] = int(list_1[0] < 0)\n ans = f[0]\n for i in range(1, n):\n if list_1[i] > 0:\n f[i] = f[i - 1] + 1\n g[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n elif list_1[i] < 0:\n f[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n g[i] = f[i - 1] + 1\n ans = max(ans, f[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":81,\"native_task_name\":\"getMaxLen:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/81/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 81, "target_native_task_name": "getMaxLen:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-55, -96, 91, 76, -22, -27, 79, -69, 56, 86]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [0] * n\n g = [0] * n\n f[0] = int(list_1[0] > 0)\n g[0] = int(list_1[0] < 0)\n ans = f[0]\n for i in range(1, n):\n if list_1[i] > 0:\n f[i] = f[i - 1] + 1\n g[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n elif list_1[i] < 0:\n f[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n g[i] = f[i - 1] + 1\n ans = max(ans, f[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":81,\"native_task_name\":\"getMaxLen:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/81/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 81, "target_native_task_name": "getMaxLen:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [33, -44, -45, 22, 3, -55, 37, 17, -33, -17]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [0] * n\n g = [0] * n\n f[0] = int(list_1[0] > 0)\n g[0] = int(list_1[0] < 0)\n ans = f[0]\n for i in range(1, n):\n if list_1[i] > 0:\n f[i] = f[i - 1] + 1\n g[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n elif list_1[i] < 0:\n f[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n g[i] = f[i - 1] + 1\n ans = max(ans, f[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":81,\"native_task_name\":\"getMaxLen:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/81/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 81, "target_native_task_name": "getMaxLen:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-35, 13, 22, -18, -47, 5, -59, 69, -35, -52]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [0] * n\n g = [0] * n\n f[0] = int(list_1[0] > 0)\n g[0] = int(list_1[0] < 0)\n ans = f[0]\n for i in range(1, n):\n if list_1[i] > 0:\n f[i] = f[i - 1] + 1\n g[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n elif list_1[i] < 0:\n f[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n g[i] = f[i - 1] + 1\n ans = max(ans, f[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":81,\"native_task_name\":\"getMaxLen:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/81/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 81, "target_native_task_name": "getMaxLen:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-12, -41, 93, 21, 79, 16, -32, -41, 32, 33]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [0] * n\n g = [0] * n\n f[0] = int(list_1[0] > 0)\n g[0] = int(list_1[0] < 0)\n ans = f[0]\n for i in range(1, n):\n if list_1[i] > 0:\n f[i] = f[i - 1] + 1\n g[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n elif list_1[i] < 0:\n f[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n g[i] = f[i - 1] + 1\n ans = max(ans, f[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":81,\"native_task_name\":\"getMaxLen:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/81/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 81, "target_native_task_name": "getMaxLen:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-31, 35, -16, -41, -18, -57, -87, 74, -71, -79]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [0] * n\n g = [0] * n\n f[0] = int(list_1[0] > 0)\n g[0] = int(list_1[0] < 0)\n ans = f[0]\n for i in range(1, n):\n if list_1[i] > 0:\n f[i] = f[i - 1] + 1\n g[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n elif list_1[i] < 0:\n f[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n g[i] = f[i - 1] + 1\n ans = max(ans, f[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":81,\"native_task_name\":\"getMaxLen:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/81/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 81, "target_native_task_name": "getMaxLen:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [36, 9, -17, 47, -98, 75, -90, -22, -100, 52]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [0] * n\n g = [0] * n\n f[0] = int(list_1[0] > 0)\n g[0] = int(list_1[0] < 0)\n ans = f[0]\n for i in range(1, n):\n if list_1[i] > 0:\n f[i] = f[i - 1] + 1\n g[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n elif list_1[i] < 0:\n f[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n g[i] = f[i - 1] + 1\n ans = max(ans, f[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":81,\"native_task_name\":\"getMaxLen:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/81/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 81, "target_native_task_name": "getMaxLen:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-82, -86, -34, -17, -57, -51, -72, -91, 28, -52]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [0] * n\n g = [0] * n\n f[0] = int(list_1[0] > 0)\n g[0] = int(list_1[0] < 0)\n ans = f[0]\n for i in range(1, n):\n if list_1[i] > 0:\n f[i] = f[i - 1] + 1\n g[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n elif list_1[i] < 0:\n f[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n g[i] = f[i - 1] + 1\n ans = max(ans, f[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":81,\"native_task_name\":\"getMaxLen:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/81/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 81, "target_native_task_name": "getMaxLen:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-11, -40, 33, -74, 67, 75, 78, 60, -95, 40]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [0] * n\n g = [0] * n\n f[0] = int(list_1[0] > 0)\n g[0] = int(list_1[0] < 0)\n ans = f[0]\n for i in range(1, n):\n if list_1[i] > 0:\n f[i] = f[i - 1] + 1\n g[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n elif list_1[i] < 0:\n f[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n g[i] = f[i - 1] + 1\n ans = max(ans, f[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":81,\"native_task_name\":\"getMaxLen:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/81/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 81, "target_native_task_name": "getMaxLen:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [16, 83, -94, -35, 68, -16, 26, 40, -44, -75]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [0] * n\n g = [0] * n\n f[0] = int(list_1[0] > 0)\n g[0] = int(list_1[0] < 0)\n ans = f[0]\n for i in range(1, n):\n if list_1[i] > 0:\n f[i] = f[i - 1] + 1\n g[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n elif list_1[i] < 0:\n f[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n g[i] = f[i - 1] + 1\n ans = max(ans, f[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":81,\"native_task_name\":\"getMaxLen:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/81/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 81, "target_native_task_name": "getMaxLen:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [62, 83, -29, 86, -39, 1, -92, -86, -23, 1]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [0] * n\n g = [0] * n\n f[0] = int(list_1[0] > 0)\n g[0] = int(list_1[0] < 0)\n ans = f[0]\n for i in range(1, n):\n if list_1[i] > 0:\n f[i] = f[i - 1] + 1\n g[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n elif list_1[i] < 0:\n f[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n g[i] = f[i - 1] + 1\n ans = max(ans, f[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":81,\"native_task_name\":\"getMaxLen:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/81/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 81, "target_native_task_name": "getMaxLen:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [54, 93, 0, 97, -7, 99, -24, -55, 19, 85]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [0] * n\n g = [0] * n\n f[0] = int(list_1[0] > 0)\n g[0] = int(list_1[0] < 0)\n ans = f[0]\n for i in range(1, n):\n if list_1[i] > 0:\n f[i] = f[i - 1] + 1\n g[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n elif list_1[i] < 0:\n f[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n g[i] = f[i - 1] + 1\n ans = max(ans, f[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":81,\"native_task_name\":\"getMaxLen:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/81/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 81, "target_native_task_name": "getMaxLen:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-10, 25, -93, 13, 6, -41, -31, -75, 72, -45]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n n = len(list_1)\n f = [0] * n\n g = [0] * n\n f[0] = int(list_1[0] > 0)\n g[0] = int(list_1[0] < 0)\n ans = f[0]\n for i in range(1, n):\n if list_1[i] > 0:\n f[i] = f[i - 1] + 1\n g[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n elif list_1[i] < 0:\n f[i] = 0 if g[i - 1] == 0 else g[i - 1] + 1\n g[i] = f[i - 1] + 1\n ans = max(ans, f[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":81,\"native_task_name\":\"getMaxLen:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/82/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 82, "target_native_task_name": "powerfulIntegers:scalar", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 28}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_y_static = 37.\nDefine task_1_bound_static = 68.\nTrace the execution of task_1 with inputs y = task_1_y_static, bound = task_1_bound_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, y: int, bound: int) -> List[int]:\n ans = []\n a = 1\n while a <= bound:\n b = 1\n while a + b <= bound:\n ans.append(a + b)\n b *= y\n if y == 1:\n break\n if val_1 == 1:\n break\n a *= val_1\n python_result_1 = list(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,38,29,65]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":82,\"native_task_name\":\"powerfulIntegers:scalar\",\"output_value\":[2,38,29,65]}]"} {"id": "python/single_target_baseline/82/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 82, "target_native_task_name": "powerfulIntegers:scalar", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -97}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_y_static = -26.\nDefine task_1_bound_static = 67.\nTrace the execution of task_1 with inputs y = task_1_y_static, bound = task_1_bound_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, y: int, bound: int) -> List[int]:\n ans = []\n a = 1\n while a <= bound:\n b = 1\n while a + b <= bound:\n ans.append(a + b)\n b *= y\n if y == 1:\n break\n if val_1 == 1:\n break\n a *= val_1\n python_result_1 = list(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,-25,-96,-123]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":82,\"native_task_name\":\"powerfulIntegers:scalar\",\"output_value\":[2,-25,-96,-123]}]"} {"id": "python/single_target_baseline/82/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 82, "target_native_task_name": "powerfulIntegers:scalar", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 26}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_y_static = -43.\nDefine task_1_bound_static = 46.\nTrace the execution of task_1 with inputs y = task_1_y_static, bound = task_1_bound_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, y: int, bound: int) -> List[int]:\n ans = []\n a = 1\n while a <= bound:\n b = 1\n while a + b <= bound:\n ans.append(a + b)\n b *= y\n if y == 1:\n break\n if val_1 == 1:\n break\n a *= val_1\n python_result_1 = list(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,-42,27,-17]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":82,\"native_task_name\":\"powerfulIntegers:scalar\",\"output_value\":[2,-42,27,-17]}]"} {"id": "python/single_target_baseline/82/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 82, "target_native_task_name": "powerfulIntegers:scalar", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 15}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_y_static = -16.\nDefine task_1_bound_static = 54.\nTrace the execution of task_1 with inputs y = task_1_y_static, bound = task_1_bound_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, y: int, bound: int) -> List[int]:\n ans = []\n a = 1\n while a <= bound:\n b = 1\n while a + b <= bound:\n ans.append(a + b)\n b *= y\n if y == 1:\n break\n if val_1 == 1:\n break\n a *= val_1\n python_result_1 = list(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,-15,16,-1]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":82,\"native_task_name\":\"powerfulIntegers:scalar\",\"output_value\":[2,-15,16,-1]}]"} {"id": "python/single_target_baseline/82/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 82, "target_native_task_name": "powerfulIntegers:scalar", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 73}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_y_static = -39.\nDefine task_1_bound_static = 92.\nTrace the execution of task_1 with inputs y = task_1_y_static, bound = task_1_bound_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, y: int, bound: int) -> List[int]:\n ans = []\n a = 1\n while a <= bound:\n b = 1\n while a + b <= bound:\n ans.append(a + b)\n b *= y\n if y == 1:\n break\n if val_1 == 1:\n break\n a *= val_1\n python_result_1 = list(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,-38,74,34]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":82,\"native_task_name\":\"powerfulIntegers:scalar\",\"output_value\":[2,-38,74,34]}]"} {"id": "python/single_target_baseline/82/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 82, "target_native_task_name": "powerfulIntegers:scalar", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 9}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_y_static = 29.\nDefine task_1_bound_static = 11.\nTrace the execution of task_1 with inputs y = task_1_y_static, bound = task_1_bound_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, y: int, bound: int) -> List[int]:\n ans = []\n a = 1\n while a <= bound:\n b = 1\n while a + b <= bound:\n ans.append(a + b)\n b *= y\n if y == 1:\n break\n if val_1 == 1:\n break\n a *= val_1\n python_result_1 = list(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,10]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":82,\"native_task_name\":\"powerfulIntegers:scalar\",\"output_value\":[2,10]}]"} {"id": "python/single_target_baseline/82/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 82, "target_native_task_name": "powerfulIntegers:scalar", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 35}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_y_static = -52.\nDefine task_1_bound_static = 53.\nTrace the execution of task_1 with inputs y = task_1_y_static, bound = task_1_bound_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, y: int, bound: int) -> List[int]:\n ans = []\n a = 1\n while a <= bound:\n b = 1\n while a + b <= bound:\n ans.append(a + b)\n b *= y\n if y == 1:\n break\n if val_1 == 1:\n break\n a *= val_1\n python_result_1 = list(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,-51,36,-17]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":82,\"native_task_name\":\"powerfulIntegers:scalar\",\"output_value\":[2,-51,36,-17]}]"} {"id": "python/single_target_baseline/82/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 82, "target_native_task_name": "powerfulIntegers:scalar", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -34}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_y_static = 1.\nDefine task_1_bound_static = 5.\nTrace the execution of task_1 with inputs y = task_1_y_static, bound = task_1_bound_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, y: int, bound: int) -> List[int]:\n ans = []\n a = 1\n while a <= bound:\n b = 1\n while a + b <= bound:\n ans.append(a + b)\n b *= y\n if y == 1:\n break\n if val_1 == 1:\n break\n a *= val_1\n python_result_1 = list(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,-33]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":82,\"native_task_name\":\"powerfulIntegers:scalar\",\"output_value\":[2,-33]}]"} {"id": "python/single_target_baseline/82/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 82, "target_native_task_name": "powerfulIntegers:scalar", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 2}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_y_static = 20.\nDefine task_1_bound_static = 43.\nTrace the execution of task_1 with inputs y = task_1_y_static, bound = task_1_bound_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, y: int, bound: int) -> List[int]:\n ans = []\n a = 1\n while a <= bound:\n b = 1\n while a + b <= bound:\n ans.append(a + b)\n b *= y\n if y == 1:\n break\n if val_1 == 1:\n break\n a *= val_1\n python_result_1 = list(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,21,3,22,5,24,9,28,17,36,33]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":82,\"native_task_name\":\"powerfulIntegers:scalar\",\"output_value\":[2,21,3,22,5,24,9,28,17,36,33]}]"} {"id": "python/single_target_baseline/82/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 82, "target_native_task_name": "powerfulIntegers:scalar", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -95}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_y_static = 36.\nDefine task_1_bound_static = 12.\nTrace the execution of task_1 with inputs y = task_1_y_static, bound = task_1_bound_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, y: int, bound: int) -> List[int]:\n ans = []\n a = 1\n while a <= bound:\n b = 1\n while a + b <= bound:\n ans.append(a + b)\n b *= y\n if y == 1:\n break\n if val_1 == 1:\n break\n a *= val_1\n python_result_1 = list(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,-94,-59]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":82,\"native_task_name\":\"powerfulIntegers:scalar\",\"output_value\":[2,-94,-59]}]"} {"id": "python/single_target_baseline/82/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 82, "target_native_task_name": "powerfulIntegers:scalar", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 68}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_y_static = 19.\nDefine task_1_bound_static = 79.\nTrace the execution of task_1 with inputs y = task_1_y_static, bound = task_1_bound_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, y: int, bound: int) -> List[int]:\n ans = []\n a = 1\n while a <= bound:\n b = 1\n while a + b <= bound:\n ans.append(a + b)\n b *= y\n if y == 1:\n break\n if val_1 == 1:\n break\n a *= val_1\n python_result_1 = list(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,20,69]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":82,\"native_task_name\":\"powerfulIntegers:scalar\",\"output_value\":[2,20,69]}]"} {"id": "python/single_target_baseline/82/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 82, "target_native_task_name": "powerfulIntegers:scalar", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -75}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_y_static = 84.\nDefine task_1_bound_static = 33.\nTrace the execution of task_1 with inputs y = task_1_y_static, bound = task_1_bound_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, y: int, bound: int) -> List[int]:\n ans = []\n a = 1\n while a <= bound:\n b = 1\n while a + b <= bound:\n ans.append(a + b)\n b *= y\n if y == 1:\n break\n if val_1 == 1:\n break\n a *= val_1\n python_result_1 = list(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,-74,9]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":82,\"native_task_name\":\"powerfulIntegers:scalar\",\"output_value\":[2,-74,9]}]"} {"id": "python/single_target_baseline/82/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 82, "target_native_task_name": "powerfulIntegers:scalar", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -77}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_y_static = 40.\nDefine task_1_bound_static = 9.\nTrace the execution of task_1 with inputs y = task_1_y_static, bound = task_1_bound_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, y: int, bound: int) -> List[int]:\n ans = []\n a = 1\n while a <= bound:\n b = 1\n while a + b <= bound:\n ans.append(a + b)\n b *= y\n if y == 1:\n break\n if val_1 == 1:\n break\n a *= val_1\n python_result_1 = list(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,-76,-37]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":82,\"native_task_name\":\"powerfulIntegers:scalar\",\"output_value\":[2,-76,-37]}]"} {"id": "python/single_target_baseline/82/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 82, "target_native_task_name": "powerfulIntegers:scalar", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -2}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_y_static = -17.\nDefine task_1_bound_static = 48.\nTrace the execution of task_1 with inputs y = task_1_y_static, bound = task_1_bound_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, y: int, bound: int) -> List[int]:\n ans = []\n a = 1\n while a <= bound:\n b = 1\n while a + b <= bound:\n ans.append(a + b)\n b *= y\n if y == 1:\n break\n if val_1 == 1:\n break\n a *= val_1\n python_result_1 = list(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,-16,-1,-19,5,-13,-7,-25,17,-1,-31,-49]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":82,\"native_task_name\":\"powerfulIntegers:scalar\",\"output_value\":[2,-16,-1,-19,5,-13,-7,-25,17,-1,-31,-49]}]"} {"id": "python/single_target_baseline/82/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 82, "target_native_task_name": "powerfulIntegers:scalar", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -90}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_y_static = -96.\nDefine task_1_bound_static = 100.\nTrace the execution of task_1 with inputs y = task_1_y_static, bound = task_1_bound_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, y: int, bound: int) -> List[int]:\n ans = []\n a = 1\n while a <= bound:\n b = 1\n while a + b <= bound:\n ans.append(a + b)\n b *= y\n if y == 1:\n break\n if val_1 == 1:\n break\n a *= val_1\n python_result_1 = list(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,-95,-89,-186]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":82,\"native_task_name\":\"powerfulIntegers:scalar\",\"output_value\":[2,-95,-89,-186]}]"} {"id": "python/single_target_baseline/82/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 82, "target_native_task_name": "powerfulIntegers:scalar", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 65}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_y_static = 32.\nDefine task_1_bound_static = 84.\nTrace the execution of task_1 with inputs y = task_1_y_static, bound = task_1_bound_static.\n```python\nfrom typing import List\ndef task_1(val_1: int, y: int, bound: int) -> List[int]:\n ans = []\n a = 1\n while a <= bound:\n b = 1\n while a + b <= bound:\n ans.append(a + b)\n b *= y\n if y == 1:\n break\n if val_1 == 1:\n break\n a *= val_1\n python_result_1 = list(ans)\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[2,33,66]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":82,\"native_task_name\":\"powerfulIntegers:scalar\",\"output_value\":[2,33,66]}]"} {"id": "python/single_target_baseline/83/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 83, "target_native_task_name": "maximumBooks:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-79, -90, -24, 4, 97, -34, -34, -21, -90, -39]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n nums = [v - i for (i, v) in enumerate(list_1)]\n n = len(nums)\n left = [-1] * n\n stk = []\n for (i, v) in enumerate(nums):\n while stk and nums[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n ans = 0\n dp = [0] * n\n dp[0] = list_1[0]\n for (i, v) in enumerate(list_1):\n j = left[i]\n cnt = min(v, i - j)\n u = v - cnt + 1\n s = (u + v) * cnt // 2\n dp[i] = s + (0 if j == -1 else dp[j])\n ans = max(ans, dp[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4776", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":83,\"native_task_name\":\"maximumBooks:list\",\"output_value\":4776}]"} {"id": "python/single_target_baseline/83/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 83, "target_native_task_name": "maximumBooks:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-99, -52, 3, -90, 30, 5, 30, -91, 12, 34]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n nums = [v - i for (i, v) in enumerate(list_1)]\n n = len(nums)\n left = [-1] * n\n stk = []\n for (i, v) in enumerate(nums):\n while stk and nums[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n ans = 0\n dp = [0] * n\n dp[0] = list_1[0]\n for (i, v) in enumerate(list_1):\n j = left[i]\n cnt = min(v, i - j)\n u = v - cnt + 1\n s = (u + v) * cnt // 2\n dp[i] = s + (0 if j == -1 else dp[j])\n ans = max(ans, dp[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8992", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":83,\"native_task_name\":\"maximumBooks:list\",\"output_value\":8992}]"} {"id": "python/single_target_baseline/83/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 83, "target_native_task_name": "maximumBooks:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [49, 48, 31, -58, 28, -72, 13, -21, 45, -82]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n nums = [v - i for (i, v) in enumerate(list_1)]\n n = len(nums)\n left = [-1] * n\n stk = []\n for (i, v) in enumerate(nums):\n while stk and nums[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n ans = 0\n dp = [0] * n\n dp[0] = list_1[0]\n for (i, v) in enumerate(list_1):\n j = left[i]\n cnt = min(v, i - j)\n u = v - cnt + 1\n s = (u + v) * cnt // 2\n dp[i] = s + (0 if j == -1 else dp[j])\n ans = max(ans, dp[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3321", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":83,\"native_task_name\":\"maximumBooks:list\",\"output_value\":3321}]"} {"id": "python/single_target_baseline/83/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 83, "target_native_task_name": "maximumBooks:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-39, -31, -16, -37, -72, 19, -7, 13, -1, 34]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n nums = [v - i for (i, v) in enumerate(list_1)]\n n = len(nums)\n left = [-1] * n\n stk = []\n for (i, v) in enumerate(nums):\n while stk and nums[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n ans = 0\n dp = [0] * n\n dp[0] = list_1[0]\n for (i, v) in enumerate(list_1):\n j = left[i]\n cnt = min(v, i - j)\n u = v - cnt + 1\n s = (u + v) * cnt // 2\n dp[i] = s + (0 if j == -1 else dp[j])\n ans = max(ans, dp[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2611", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":83,\"native_task_name\":\"maximumBooks:list\",\"output_value\":2611}]"} {"id": "python/single_target_baseline/83/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 83, "target_native_task_name": "maximumBooks:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-18, -76, 87, -53, 98, -11, 19, -19, 30, 65]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n nums = [v - i for (i, v) in enumerate(list_1)]\n n = len(nums)\n left = [-1] * n\n stk = []\n for (i, v) in enumerate(nums):\n while stk and nums[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n ans = 0\n dp = [0] * n\n dp[0] = list_1[0]\n for (i, v) in enumerate(list_1):\n j = left[i]\n cnt = min(v, i - j)\n u = v - cnt + 1\n s = (u + v) * cnt // 2\n dp[i] = s + (0 if j == -1 else dp[j])\n ans = max(ans, dp[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4494", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":83,\"native_task_name\":\"maximumBooks:list\",\"output_value\":4494}]"} {"id": "python/single_target_baseline/83/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 83, "target_native_task_name": "maximumBooks:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-41, -100, 48, -59, -88, -42, -72, 83, -32, -73]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n nums = [v - i for (i, v) in enumerate(list_1)]\n n = len(nums)\n left = [-1] * n\n stk = []\n for (i, v) in enumerate(nums):\n while stk and nums[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n ans = 0\n dp = [0] * n\n dp[0] = list_1[0]\n for (i, v) in enumerate(list_1):\n j = left[i]\n cnt = min(v, i - j)\n u = v - cnt + 1\n s = (u + v) * cnt // 2\n dp[i] = s + (0 if j == -1 else dp[j])\n ans = max(ans, dp[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6880", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":83,\"native_task_name\":\"maximumBooks:list\",\"output_value\":6880}]"} {"id": "python/single_target_baseline/83/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 83, "target_native_task_name": "maximumBooks:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-44, 46, 100, -40, 79, -65, 69, -35, -89, 6]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n nums = [v - i for (i, v) in enumerate(list_1)]\n n = len(nums)\n left = [-1] * n\n stk = []\n for (i, v) in enumerate(nums):\n while stk and nums[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n ans = 0\n dp = [0] * n\n dp[0] = list_1[0]\n for (i, v) in enumerate(list_1):\n j = left[i]\n cnt = min(v, i - j)\n u = v - cnt + 1\n s = (u + v) * cnt // 2\n dp[i] = s + (0 if j == -1 else dp[j])\n ans = max(ans, dp[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3922", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":83,\"native_task_name\":\"maximumBooks:list\",\"output_value\":3922}]"} {"id": "python/single_target_baseline/83/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 83, "target_native_task_name": "maximumBooks:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [52, -5, -27, 69, 18, -18, 36, -81, -18, -12]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n nums = [v - i for (i, v) in enumerate(list_1)]\n n = len(nums)\n left = [-1] * n\n stk = []\n for (i, v) in enumerate(nums):\n while stk and nums[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n ans = 0\n dp = [0] * n\n dp[0] = list_1[0]\n for (i, v) in enumerate(list_1):\n j = left[i]\n cnt = min(v, i - j)\n u = v - cnt + 1\n s = (u + v) * cnt // 2\n dp[i] = s + (0 if j == -1 else dp[j])\n ans = max(ans, dp[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3459", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":83,\"native_task_name\":\"maximumBooks:list\",\"output_value\":3459}]"} {"id": "python/single_target_baseline/83/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 83, "target_native_task_name": "maximumBooks:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-97, 20, -8, 35, 69, -44, -68, 58, -98, -98]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n nums = [v - i for (i, v) in enumerate(list_1)]\n n = len(nums)\n left = [-1] * n\n stk = []\n for (i, v) in enumerate(nums):\n while stk and nums[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n ans = 0\n dp = [0] * n\n dp[0] = list_1[0]\n for (i, v) in enumerate(list_1):\n j = left[i]\n cnt = min(v, i - j)\n u = v - cnt + 1\n s = (u + v) * cnt // 2\n dp[i] = s + (0 if j == -1 else dp[j])\n ans = max(ans, dp[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6992", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":83,\"native_task_name\":\"maximumBooks:list\",\"output_value\":6992}]"} {"id": "python/single_target_baseline/83/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 83, "target_native_task_name": "maximumBooks:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-75, -87, 86, 13, -75, 53, 92, -20, -74, -6]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n nums = [v - i for (i, v) in enumerate(list_1)]\n n = len(nums)\n left = [-1] * n\n stk = []\n for (i, v) in enumerate(nums):\n while stk and nums[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n ans = 0\n dp = [0] * n\n dp[0] = list_1[0]\n for (i, v) in enumerate(list_1):\n j = left[i]\n cnt = min(v, i - j)\n u = v - cnt + 1\n s = (u + v) * cnt // 2\n dp[i] = s + (0 if j == -1 else dp[j])\n ans = max(ans, dp[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6706", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":83,\"native_task_name\":\"maximumBooks:list\",\"output_value\":6706}]"} {"id": "python/single_target_baseline/83/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 83, "target_native_task_name": "maximumBooks:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [55, -64, 86, 45, -75, 92, -42, 9, 43, 25]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n nums = [v - i for (i, v) in enumerate(list_1)]\n n = len(nums)\n left = [-1] * n\n stk = []\n for (i, v) in enumerate(nums):\n while stk and nums[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n ans = 0\n dp = [0] * n\n dp[0] = list_1[0]\n for (i, v) in enumerate(list_1):\n j = left[i]\n cnt = min(v, i - j)\n u = v - cnt + 1\n s = (u + v) * cnt // 2\n dp[i] = s + (0 if j == -1 else dp[j])\n ans = max(ans, dp[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3694", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":83,\"native_task_name\":\"maximumBooks:list\",\"output_value\":3694}]"} {"id": "python/single_target_baseline/83/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 83, "target_native_task_name": "maximumBooks:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [37, -47, -88, 94, 94, 70, -49, -79, 39, 73]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n nums = [v - i for (i, v) in enumerate(list_1)]\n n = len(nums)\n left = [-1] * n\n stk = []\n for (i, v) in enumerate(nums):\n while stk and nums[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n ans = 0\n dp = [0] * n\n dp[0] = list_1[0]\n for (i, v) in enumerate(list_1):\n j = left[i]\n cnt = min(v, i - j)\n u = v - cnt + 1\n s = (u + v) * cnt // 2\n dp[i] = s + (0 if j == -1 else dp[j])\n ans = max(ans, dp[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7021", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":83,\"native_task_name\":\"maximumBooks:list\",\"output_value\":7021}]"} {"id": "python/single_target_baseline/83/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 83, "target_native_task_name": "maximumBooks:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [14, 47, 11, 97, -43, -20, -73, -77, -8, -36]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n nums = [v - i for (i, v) in enumerate(list_1)]\n n = len(nums)\n left = [-1] * n\n stk = []\n for (i, v) in enumerate(nums):\n while stk and nums[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n ans = 0\n dp = [0] * n\n dp[0] = list_1[0]\n for (i, v) in enumerate(list_1):\n j = left[i]\n cnt = min(v, i - j)\n u = v - cnt + 1\n s = (u + v) * cnt // 2\n dp[i] = s + (0 if j == -1 else dp[j])\n ans = max(ans, dp[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "3556", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":83,\"native_task_name\":\"maximumBooks:list\",\"output_value\":3556}]"} {"id": "python/single_target_baseline/83/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 83, "target_native_task_name": "maximumBooks:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-30, -43, 95, 12, -23, 80, 8, -46, 78, 77]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n nums = [v - i for (i, v) in enumerate(list_1)]\n n = len(nums)\n left = [-1] * n\n stk = []\n for (i, v) in enumerate(nums):\n while stk and nums[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n ans = 0\n dp = [0] * n\n dp[0] = list_1[0]\n for (i, v) in enumerate(list_1):\n j = left[i]\n cnt = min(v, i - j)\n u = v - cnt + 1\n s = (u + v) * cnt // 2\n dp[i] = s + (0 if j == -1 else dp[j])\n ans = max(ans, dp[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "1236", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":83,\"native_task_name\":\"maximumBooks:list\",\"output_value\":1236}]"} {"id": "python/single_target_baseline/83/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 83, "target_native_task_name": "maximumBooks:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [73, -91, 4, -99, -81, -1, -44, -66, -1, -23]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n nums = [v - i for (i, v) in enumerate(list_1)]\n n = len(nums)\n left = [-1] * n\n stk = []\n for (i, v) in enumerate(nums):\n while stk and nums[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n ans = 0\n dp = [0] * n\n dp[0] = list_1[0]\n for (i, v) in enumerate(list_1):\n j = left[i]\n cnt = min(v, i - j)\n u = v - cnt + 1\n s = (u + v) * cnt // 2\n dp[i] = s + (0 if j == -1 else dp[j])\n ans = max(ans, dp[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10489", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":83,\"native_task_name\":\"maximumBooks:list\",\"output_value\":10489}]"} {"id": "python/single_target_baseline/83/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 83, "target_native_task_name": "maximumBooks:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [69, -54, -30, 19, 14, -90, -79, 80, -85, -40]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> int:\n nums = [v - i for (i, v) in enumerate(list_1)]\n n = len(nums)\n left = [-1] * n\n stk = []\n for (i, v) in enumerate(nums):\n while stk and nums[stk[-1]] >= v:\n stk.pop()\n if stk:\n left[i] = stk[-1]\n stk.append(i)\n ans = 0\n dp = [0] * n\n dp[0] = list_1[0]\n for (i, v) in enumerate(list_1):\n j = left[i]\n cnt = min(v, i - j)\n u = v - cnt + 1\n s = (u + v) * cnt // 2\n dp[i] = s + (0 if j == -1 else dp[j])\n ans = max(ans, dp[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8355", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":83,\"native_task_name\":\"maximumBooks:list\",\"output_value\":8355}]"} {"id": "python/single_target_baseline/84/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 84, "target_native_task_name": "nextGreaterElements:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-65, -42, 46, 61, 87, 80, 1, -5, 27, -6]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [-1] * n\n stk = []\n for i in range(n * 2 - 1, -1, -1):\n i %= n\n while stk and stk[-1] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1]\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-42,46,61,87,-1,87,27,27,46,46]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":84,\"native_task_name\":\"nextGreaterElements:list\",\"output_value\":[-42,46,61,87,-1,87,27,27,46,46]}]"} {"id": "python/single_target_baseline/84/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 84, "target_native_task_name": "nextGreaterElements:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [36, -42, 70, -99, 50, 59, -34, -5, 33, 57]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [-1] * n\n stk = []\n for i in range(n * 2 - 1, -1, -1):\n i %= n\n while stk and stk[-1] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1]\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[70,70,-1,50,59,70,-5,33,57,70]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":84,\"native_task_name\":\"nextGreaterElements:list\",\"output_value\":[70,70,-1,50,59,70,-5,33,57,70]}]"} {"id": "python/single_target_baseline/84/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 84, "target_native_task_name": "nextGreaterElements:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-71, -45, -14, -94, -72, -81, 66, 71, 9, 57]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [-1] * n\n stk = []\n for i in range(n * 2 - 1, -1, -1):\n i %= n\n while stk and stk[-1] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1]\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-45,-14,66,-72,66,66,71,-1,57,66]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":84,\"native_task_name\":\"nextGreaterElements:list\",\"output_value\":[-45,-14,66,-72,66,66,71,-1,57,66]}]"} {"id": "python/single_target_baseline/84/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 84, "target_native_task_name": "nextGreaterElements:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-31, 59, 51, -99, 77, 96, -90, -97, -31, 12]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [-1] * n\n stk = []\n for i in range(n * 2 - 1, -1, -1):\n i %= n\n while stk and stk[-1] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1]\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[59,77,77,77,96,-1,-31,-31,12,59]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":84,\"native_task_name\":\"nextGreaterElements:list\",\"output_value\":[59,77,77,77,96,-1,-31,-31,12,59]}]"} {"id": "python/single_target_baseline/84/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 84, "target_native_task_name": "nextGreaterElements:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-50, 60, -12, -6, 10, -84, -55, 26, -16, 85]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [-1] * n\n stk = []\n for i in range(n * 2 - 1, -1, -1):\n i %= n\n while stk and stk[-1] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1]\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[60,85,-6,10,26,-55,26,85,85,-1]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":84,\"native_task_name\":\"nextGreaterElements:list\",\"output_value\":[60,85,-6,10,26,-55,26,85,85,-1]}]"} {"id": "python/single_target_baseline/84/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 84, "target_native_task_name": "nextGreaterElements:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-40, -75, -62, -2, -49, -9, 86, -60, 36, -97]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [-1] * n\n stk = []\n for i in range(n * 2 - 1, -1, -1):\n i %= n\n while stk and stk[-1] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1]\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-2,-62,-2,86,-9,86,-1,36,86,-40]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":84,\"native_task_name\":\"nextGreaterElements:list\",\"output_value\":[-2,-62,-2,86,-9,86,-1,36,86,-40]}]"} {"id": "python/single_target_baseline/84/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 84, "target_native_task_name": "nextGreaterElements:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-64, 67, 92, -2, 47, -91, 87, -32, -7, 11]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [-1] * n\n stk = []\n for i in range(n * 2 - 1, -1, -1):\n i %= n\n while stk and stk[-1] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1]\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[67,92,-1,47,87,87,92,-7,11,67]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":84,\"native_task_name\":\"nextGreaterElements:list\",\"output_value\":[67,92,-1,47,87,87,92,-7,11,67]}]"} {"id": "python/single_target_baseline/84/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 84, "target_native_task_name": "nextGreaterElements:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-64, 59, 93, -94, -98, 70, -18, 28, -62, -2]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [-1] * n\n stk = []\n for i in range(n * 2 - 1, -1, -1):\n i %= n\n while stk and stk[-1] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1]\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[59,93,-1,70,70,93,28,59,-2,59]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":84,\"native_task_name\":\"nextGreaterElements:list\",\"output_value\":[59,93,-1,70,70,93,28,59,-2,59]}]"} {"id": "python/single_target_baseline/84/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 84, "target_native_task_name": "nextGreaterElements:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [90, 83, 21, -15, 48, -60, -61, -75, -42, -64]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [-1] * n\n stk = []\n for i in range(n * 2 - 1, -1, -1):\n i %= n\n while stk and stk[-1] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1]\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-1,90,48,48,90,-42,-42,-42,90,90]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":84,\"native_task_name\":\"nextGreaterElements:list\",\"output_value\":[-1,90,48,48,90,-42,-42,-42,90,90]}]"} {"id": "python/single_target_baseline/84/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 84, "target_native_task_name": "nextGreaterElements:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-50, 4, 69, -44, 80, -33, 83, -47, -82, -62]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [-1] * n\n stk = []\n for i in range(n * 2 - 1, -1, -1):\n i %= n\n while stk and stk[-1] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1]\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[4,69,80,80,83,83,-1,4,-62,-50]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":84,\"native_task_name\":\"nextGreaterElements:list\",\"output_value\":[4,69,80,80,83,83,-1,4,-62,-50]}]"} {"id": "python/single_target_baseline/84/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 84, "target_native_task_name": "nextGreaterElements:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [28, -85, -78, -7, -99, 73, -71, 73, 90, -79]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [-1] * n\n stk = []\n for i in range(n * 2 - 1, -1, -1):\n i %= n\n while stk and stk[-1] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1]\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[73,-78,-7,73,73,90,73,90,-1,28]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":84,\"native_task_name\":\"nextGreaterElements:list\",\"output_value\":[73,-78,-7,73,73,90,73,90,-1,28]}]"} {"id": "python/single_target_baseline/84/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 84, "target_native_task_name": "nextGreaterElements:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-32, 88, -25, 95, 86, -7, 72, 28, -81, -47]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [-1] * n\n stk = []\n for i in range(n * 2 - 1, -1, -1):\n i %= n\n while stk and stk[-1] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1]\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[88,95,95,-1,88,72,88,88,-47,-32]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":84,\"native_task_name\":\"nextGreaterElements:list\",\"output_value\":[88,95,95,-1,88,72,88,88,-47,-32]}]"} {"id": "python/single_target_baseline/84/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 84, "target_native_task_name": "nextGreaterElements:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [97, -13, -57, -31, -100, 59, -89, 35, 81, 95]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [-1] * n\n stk = []\n for i in range(n * 2 - 1, -1, -1):\n i %= n\n while stk and stk[-1] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1]\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-1,0,-31,0,59,81,35,81,95,97]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":84,\"native_task_name\":\"nextGreaterElements:list\",\"output_value\":[-1,0,-31,0,59,81,35,81,95,97]}]"} {"id": "python/single_target_baseline/84/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 84, "target_native_task_name": "nextGreaterElements:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-4, -75, -89, -43, -83, 23, 57, -34, 7, -91]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [-1] * n\n stk = []\n for i in range(n * 2 - 1, -1, -1):\n i %= n\n while stk and stk[-1] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1]\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[23,-43,-43,23,23,57,-1,7,23,-4]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":84,\"native_task_name\":\"nextGreaterElements:list\",\"output_value\":[23,-43,-43,23,23,57,-1,7,23,-4]}]"} {"id": "python/single_target_baseline/84/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 84, "target_native_task_name": "nextGreaterElements:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [12, -67, -97, 94, 64, 64, -55, 81, 99, -59]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [-1] * n\n stk = []\n for i in range(n * 2 - 1, -1, -1):\n i %= n\n while stk and stk[-1] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1]\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[94,94,94,99,81,81,81,99,-1,12]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":84,\"native_task_name\":\"nextGreaterElements:list\",\"output_value\":[94,94,94,99,81,81,81,99,-1,12]}]"} {"id": "python/single_target_baseline/84/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 84, "target_native_task_name": "nextGreaterElements:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-100, 48, 97, 54, 49, -38, -19, -46, -2, -78]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n n = len(list_1)\n ans = [-1] * n\n stk = []\n for i in range(n * 2 - 1, -1, -1):\n i %= n\n while stk and stk[-1] <= list_1[i]:\n stk.pop()\n if stk:\n ans[i] = stk[-1]\n stk.append(list_1[i])\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[48,97,-1,97,97,-19,-2,-2,0,0]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":84,\"native_task_name\":\"nextGreaterElements:list\",\"output_value\":[48,97,-1,97,97,-19,-2,-2,0,0]}]"} {"id": "python/single_target_baseline/85/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 85, "target_native_task_name": "bagOfTokensScore:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-23, 9, 0, -63, -4, 63, -42, -57, -45, -52]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_power_static = 19.\nTrace the execution of task_1 with inputs power = task_1_power_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], power: int) -> int:\n list_1.sort()\n ans = score = 0\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n if power >= list_1[i]:\n power -= list_1[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n power += list_1[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":85,\"native_task_name\":\"bagOfTokensScore:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/85/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 85, "target_native_task_name": "bagOfTokensScore:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [6, 50, -71, -1, -29, 40, 68, 47, 26, -8]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_power_static = -71.\nTrace the execution of task_1 with inputs power = task_1_power_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], power: int) -> int:\n list_1.sort()\n ans = score = 0\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n if power >= list_1[i]:\n power -= list_1[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n power += list_1[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":85,\"native_task_name\":\"bagOfTokensScore:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/85/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 85, "target_native_task_name": "bagOfTokensScore:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [61, -80, 73, -90, 0, -64, 72, 18, -11, 52]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_power_static = -12.\nTrace the execution of task_1 with inputs power = task_1_power_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], power: int) -> int:\n list_1.sort()\n ans = score = 0\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n if power >= list_1[i]:\n power -= list_1[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n power += list_1[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":85,\"native_task_name\":\"bagOfTokensScore:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/85/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 85, "target_native_task_name": "bagOfTokensScore:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [37, -82, -31, -54, -58, -59, -26, 69, 18, 72]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_power_static = 21.\nTrace the execution of task_1 with inputs power = task_1_power_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], power: int) -> int:\n list_1.sort()\n ans = score = 0\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n if power >= list_1[i]:\n power -= list_1[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n power += list_1[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":85,\"native_task_name\":\"bagOfTokensScore:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/85/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 85, "target_native_task_name": "bagOfTokensScore:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [46, 32, 17, -25, -14, -7, -25, -32, -64, 64]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_power_static = -28.\nTrace the execution of task_1 with inputs power = task_1_power_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], power: int) -> int:\n list_1.sort()\n ans = score = 0\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n if power >= list_1[i]:\n power -= list_1[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n power += list_1[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":85,\"native_task_name\":\"bagOfTokensScore:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/85/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 85, "target_native_task_name": "bagOfTokensScore:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [68, 89, -76, -48, 12, -53, 40, -85, -32, 78]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_power_static = 8.\nTrace the execution of task_1 with inputs power = task_1_power_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], power: int) -> int:\n list_1.sort()\n ans = score = 0\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n if power >= list_1[i]:\n power -= list_1[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n power += list_1[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":85,\"native_task_name\":\"bagOfTokensScore:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/85/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 85, "target_native_task_name": "bagOfTokensScore:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-62, -99, -21, 56, 72, 39, -100, -94, 50, 68]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_power_static = -23.\nTrace the execution of task_1 with inputs power = task_1_power_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], power: int) -> int:\n list_1.sort()\n ans = score = 0\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n if power >= list_1[i]:\n power -= list_1[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n power += list_1[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":85,\"native_task_name\":\"bagOfTokensScore:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/85/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 85, "target_native_task_name": "bagOfTokensScore:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [39, 96, 40, -73, -78, -54, 45, -62, -100, -62]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_power_static = 80.\nTrace the execution of task_1 with inputs power = task_1_power_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], power: int) -> int:\n list_1.sort()\n ans = score = 0\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n if power >= list_1[i]:\n power -= list_1[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n power += list_1[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":85,\"native_task_name\":\"bagOfTokensScore:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/85/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 85, "target_native_task_name": "bagOfTokensScore:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-38, -13, 93, 91, 27, -85, -13, -45, 16, 44]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_power_static = -46.\nTrace the execution of task_1 with inputs power = task_1_power_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], power: int) -> int:\n list_1.sort()\n ans = score = 0\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n if power >= list_1[i]:\n power -= list_1[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n power += list_1[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":85,\"native_task_name\":\"bagOfTokensScore:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/85/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 85, "target_native_task_name": "bagOfTokensScore:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [75, -85, 67, 6, -95, 95, 58, 10, 86, -17]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_power_static = 28.\nTrace the execution of task_1 with inputs power = task_1_power_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], power: int) -> int:\n list_1.sort()\n ans = score = 0\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n if power >= list_1[i]:\n power -= list_1[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n power += list_1[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":85,\"native_task_name\":\"bagOfTokensScore:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/85/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 85, "target_native_task_name": "bagOfTokensScore:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [90, -70, -70, 87, 80, -85, -47, -56, -20, 18]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_power_static = -67.\nTrace the execution of task_1 with inputs power = task_1_power_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], power: int) -> int:\n list_1.sort()\n ans = score = 0\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n if power >= list_1[i]:\n power -= list_1[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n power += list_1[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":85,\"native_task_name\":\"bagOfTokensScore:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/85/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 85, "target_native_task_name": "bagOfTokensScore:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-9, 87, 35, 61, 77, -2, 71, 26, 77, 65]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_power_static = 85.\nTrace the execution of task_1 with inputs power = task_1_power_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], power: int) -> int:\n list_1.sort()\n ans = score = 0\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n if power >= list_1[i]:\n power -= list_1[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n power += list_1[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":85,\"native_task_name\":\"bagOfTokensScore:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/85/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 85, "target_native_task_name": "bagOfTokensScore:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-99, 37, -48, -20, -32, -60, -69, 87, -53, 37]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_power_static = 14.\nTrace the execution of task_1 with inputs power = task_1_power_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], power: int) -> int:\n list_1.sort()\n ans = score = 0\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n if power >= list_1[i]:\n power -= list_1[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n power += list_1[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":85,\"native_task_name\":\"bagOfTokensScore:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/85/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 85, "target_native_task_name": "bagOfTokensScore:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [46, -1, 31, -66, -87, -37, -28, 65, 88, -60]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_power_static = 91.\nTrace the execution of task_1 with inputs power = task_1_power_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], power: int) -> int:\n list_1.sort()\n ans = score = 0\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n if power >= list_1[i]:\n power -= list_1[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n power += list_1[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":85,\"native_task_name\":\"bagOfTokensScore:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/85/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 85, "target_native_task_name": "bagOfTokensScore:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [30, 82, -82, 22, 18, 54, 39, -50, -24, 90]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_power_static = 91.\nTrace the execution of task_1 with inputs power = task_1_power_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], power: int) -> int:\n list_1.sort()\n ans = score = 0\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n if power >= list_1[i]:\n power -= list_1[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n power += list_1[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":85,\"native_task_name\":\"bagOfTokensScore:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/85/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 85, "target_native_task_name": "bagOfTokensScore:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [58, 100, -26, 35, 31, 19, 90, 50, -52, -17]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_power_static = 67.\nTrace the execution of task_1 with inputs power = task_1_power_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], power: int) -> int:\n list_1.sort()\n ans = score = 0\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n if power >= list_1[i]:\n power -= list_1[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n power += list_1[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":85,\"native_task_name\":\"bagOfTokensScore:list\",\"output_value\":8}]"} {"id": "python/single_target_baseline/86/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 86, "target_native_task_name": "bagOfTokensScore:scalar", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -62}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_tokens_static = [30, -67, -100, -50, -8, -93, -18, 34, -40, 88].\nTrace the execution of task_1 with inputs tokens = task_1_tokens_static.\n```python\nfrom typing import List\ndef task_1(tokens: List[int], val_1: int) -> int:\n tokens.sort()\n ans = score = 0\n (i, j) = (0, len(tokens) - 1)\n while i <= j:\n if val_1 >= tokens[i]:\n val_1 -= tokens[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n val_1 += tokens[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":86,\"native_task_name\":\"bagOfTokensScore:scalar\",\"output_value\":10}]"} {"id": "python/single_target_baseline/86/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 86, "target_native_task_name": "bagOfTokensScore:scalar", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 31}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_tokens_static = [77, 67, 2, -21, -71, -25, 90, 14, 41, 45].\nTrace the execution of task_1 with inputs tokens = task_1_tokens_static.\n```python\nfrom typing import List\ndef task_1(tokens: List[int], val_1: int) -> int:\n tokens.sort()\n ans = score = 0\n (i, j) = (0, len(tokens) - 1)\n while i <= j:\n if val_1 >= tokens[i]:\n val_1 -= tokens[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n val_1 += tokens[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":86,\"native_task_name\":\"bagOfTokensScore:scalar\",\"output_value\":7}]"} {"id": "python/single_target_baseline/86/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 86, "target_native_task_name": "bagOfTokensScore:scalar", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 19}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_tokens_static = [-42, -35, -86, -75, -56, -65, 37, 66, 86, -55].\nTrace the execution of task_1 with inputs tokens = task_1_tokens_static.\n```python\nfrom typing import List\ndef task_1(tokens: List[int], val_1: int) -> int:\n tokens.sort()\n ans = score = 0\n (i, j) = (0, len(tokens) - 1)\n while i <= j:\n if val_1 >= tokens[i]:\n val_1 -= tokens[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n val_1 += tokens[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":86,\"native_task_name\":\"bagOfTokensScore:scalar\",\"output_value\":10}]"} {"id": "python/single_target_baseline/86/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 86, "target_native_task_name": "bagOfTokensScore:scalar", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 57}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_tokens_static = [-14, -64, 99, 35, -58, -69, -66, 20, 59, 23].\nTrace the execution of task_1 with inputs tokens = task_1_tokens_static.\n```python\nfrom typing import List\ndef task_1(tokens: List[int], val_1: int) -> int:\n tokens.sort()\n ans = score = 0\n (i, j) = (0, len(tokens) - 1)\n while i <= j:\n if val_1 >= tokens[i]:\n val_1 -= tokens[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n val_1 += tokens[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":86,\"native_task_name\":\"bagOfTokensScore:scalar\",\"output_value\":10}]"} {"id": "python/single_target_baseline/86/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 86, "target_native_task_name": "bagOfTokensScore:scalar", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -28}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_tokens_static = [39, 30, -37, -12, -12, 6, 72, -49, -92, -14].\nTrace the execution of task_1 with inputs tokens = task_1_tokens_static.\n```python\nfrom typing import List\ndef task_1(tokens: List[int], val_1: int) -> int:\n tokens.sort()\n ans = score = 0\n (i, j) = (0, len(tokens) - 1)\n while i <= j:\n if val_1 >= tokens[i]:\n val_1 -= tokens[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n val_1 += tokens[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":86,\"native_task_name\":\"bagOfTokensScore:scalar\",\"output_value\":10}]"} {"id": "python/single_target_baseline/86/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 86, "target_native_task_name": "bagOfTokensScore:scalar", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -65}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_tokens_static = [-84, -58, -75, -13, 77, 60, -26, -14, 49, -52].\nTrace the execution of task_1 with inputs tokens = task_1_tokens_static.\n```python\nfrom typing import List\ndef task_1(tokens: List[int], val_1: int) -> int:\n tokens.sort()\n ans = score = 0\n (i, j) = (0, len(tokens) - 1)\n while i <= j:\n if val_1 >= tokens[i]:\n val_1 -= tokens[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n val_1 += tokens[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":86,\"native_task_name\":\"bagOfTokensScore:scalar\",\"output_value\":10}]"} {"id": "python/single_target_baseline/86/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 86, "target_native_task_name": "bagOfTokensScore:scalar", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -63}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_tokens_static = [-23, -61, 21, -97, 100, 64, 93, 76, -77, 63].\nTrace the execution of task_1 with inputs tokens = task_1_tokens_static.\n```python\nfrom typing import List\ndef task_1(tokens: List[int], val_1: int) -> int:\n tokens.sort()\n ans = score = 0\n (i, j) = (0, len(tokens) - 1)\n while i <= j:\n if val_1 >= tokens[i]:\n val_1 -= tokens[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n val_1 += tokens[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":86,\"native_task_name\":\"bagOfTokensScore:scalar\",\"output_value\":7}]"} {"id": "python/single_target_baseline/86/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 86, "target_native_task_name": "bagOfTokensScore:scalar", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 28}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_tokens_static = [93, 98, 32, 5, -52, -70, 47, -89, 97, -21].\nTrace the execution of task_1 with inputs tokens = task_1_tokens_static.\n```python\nfrom typing import List\ndef task_1(tokens: List[int], val_1: int) -> int:\n tokens.sort()\n ans = score = 0\n (i, j) = (0, len(tokens) - 1)\n while i <= j:\n if val_1 >= tokens[i]:\n val_1 -= tokens[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n val_1 += tokens[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "8", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":86,\"native_task_name\":\"bagOfTokensScore:scalar\",\"output_value\":8}]"} {"id": "python/single_target_baseline/86/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 86, "target_native_task_name": "bagOfTokensScore:scalar", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 3}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_tokens_static = [73, -48, -28, -9, 35, -1, 19, -79, -60, 56].\nTrace the execution of task_1 with inputs tokens = task_1_tokens_static.\n```python\nfrom typing import List\ndef task_1(tokens: List[int], val_1: int) -> int:\n tokens.sort()\n ans = score = 0\n (i, j) = (0, len(tokens) - 1)\n while i <= j:\n if val_1 >= tokens[i]:\n val_1 -= tokens[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n val_1 += tokens[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":86,\"native_task_name\":\"bagOfTokensScore:scalar\",\"output_value\":10}]"} {"id": "python/single_target_baseline/86/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 86, "target_native_task_name": "bagOfTokensScore:scalar", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 75}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_tokens_static = [23, 20, 34, -85, 37, 54, -65, -80, -39, -98].\nTrace the execution of task_1 with inputs tokens = task_1_tokens_static.\n```python\nfrom typing import List\ndef task_1(tokens: List[int], val_1: int) -> int:\n tokens.sort()\n ans = score = 0\n (i, j) = (0, len(tokens) - 1)\n while i <= j:\n if val_1 >= tokens[i]:\n val_1 -= tokens[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n val_1 += tokens[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":86,\"native_task_name\":\"bagOfTokensScore:scalar\",\"output_value\":10}]"} {"id": "python/single_target_baseline/86/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 86, "target_native_task_name": "bagOfTokensScore:scalar", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -65}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_tokens_static = [-2, 75, 52, 6, -8, 5, -74, -64, -4, -30].\nTrace the execution of task_1 with inputs tokens = task_1_tokens_static.\n```python\nfrom typing import List\ndef task_1(tokens: List[int], val_1: int) -> int:\n tokens.sort()\n ans = score = 0\n (i, j) = (0, len(tokens) - 1)\n while i <= j:\n if val_1 >= tokens[i]:\n val_1 -= tokens[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n val_1 += tokens[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":86,\"native_task_name\":\"bagOfTokensScore:scalar\",\"output_value\":9}]"} {"id": "python/single_target_baseline/86/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 86, "target_native_task_name": "bagOfTokensScore:scalar", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 67}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_tokens_static = [44, -95, 84, 6, -90, 80, -75, 56, -87, -58].\nTrace the execution of task_1 with inputs tokens = task_1_tokens_static.\n```python\nfrom typing import List\ndef task_1(tokens: List[int], val_1: int) -> int:\n tokens.sort()\n ans = score = 0\n (i, j) = (0, len(tokens) - 1)\n while i <= j:\n if val_1 >= tokens[i]:\n val_1 -= tokens[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n val_1 += tokens[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":86,\"native_task_name\":\"bagOfTokensScore:scalar\",\"output_value\":10}]"} {"id": "python/single_target_baseline/86/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 86, "target_native_task_name": "bagOfTokensScore:scalar", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 26}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_tokens_static = [-91, -35, -57, 43, 70, -71, 50, 58, 37, 27].\nTrace the execution of task_1 with inputs tokens = task_1_tokens_static.\n```python\nfrom typing import List\ndef task_1(tokens: List[int], val_1: int) -> int:\n tokens.sort()\n ans = score = 0\n (i, j) = (0, len(tokens) - 1)\n while i <= j:\n if val_1 >= tokens[i]:\n val_1 -= tokens[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n val_1 += tokens[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":86,\"native_task_name\":\"bagOfTokensScore:scalar\",\"output_value\":9}]"} {"id": "python/single_target_baseline/86/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 86, "target_native_task_name": "bagOfTokensScore:scalar", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 60}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_tokens_static = [99, -54, 16, 32, -71, -86, 55, -83, 71, -9].\nTrace the execution of task_1 with inputs tokens = task_1_tokens_static.\n```python\nfrom typing import List\ndef task_1(tokens: List[int], val_1: int) -> int:\n tokens.sort()\n ans = score = 0\n (i, j) = (0, len(tokens) - 1)\n while i <= j:\n if val_1 >= tokens[i]:\n val_1 -= tokens[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n val_1 += tokens[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":86,\"native_task_name\":\"bagOfTokensScore:scalar\",\"output_value\":10}]"} {"id": "python/single_target_baseline/86/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 86, "target_native_task_name": "bagOfTokensScore:scalar", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 56}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_tokens_static = [57, -82, 68, -61, -29, -4, 6, 63, 44, 25].\nTrace the execution of task_1 with inputs tokens = task_1_tokens_static.\n```python\nfrom typing import List\ndef task_1(tokens: List[int], val_1: int) -> int:\n tokens.sort()\n ans = score = 0\n (i, j) = (0, len(tokens) - 1)\n while i <= j:\n if val_1 >= tokens[i]:\n val_1 -= tokens[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n val_1 += tokens[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":86,\"native_task_name\":\"bagOfTokensScore:scalar\",\"output_value\":9}]"} {"id": "python/single_target_baseline/86/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 86, "target_native_task_name": "bagOfTokensScore:scalar", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -2}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_tokens_static = [-75, 41, -91, 44, 3, 91, -87, -96, 33, 87].\nTrace the execution of task_1 with inputs tokens = task_1_tokens_static.\n```python\nfrom typing import List\ndef task_1(tokens: List[int], val_1: int) -> int:\n tokens.sort()\n ans = score = 0\n (i, j) = (0, len(tokens) - 1)\n while i <= j:\n if val_1 >= tokens[i]:\n val_1 -= tokens[i]\n (score, i) = (score + 1, i + 1)\n ans = max(ans, score)\n elif score:\n val_1 += tokens[j]\n (score, j) = (score - 1, j - 1)\n else:\n break\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":86,\"native_task_name\":\"bagOfTokensScore:scalar\",\"output_value\":10}]"} {"id": "python/single_target_baseline/87/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 87, "target_native_task_name": "addNegabinary:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-12, 35, -59, 74, 55, -62, 61, -25, 62, -7]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_arr2_static = [-2, 33, 76, -59, 29, 84, 74, -9, -79, -40].\nTrace the execution of task_1 with inputs arr2 = task_1_arr2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], arr2: List[int]) -> List[int]:\n (i, j) = (len(list_1) - 1, len(arr2) - 1)\n c = 0\n ans = []\n while i >= 0 or j >= 0 or c:\n a = 0 if i < 0 else list_1[i]\n b = 0 if j < 0 else arr2[j]\n x = a + b + c\n c = 0\n if x >= 2:\n x -= 2\n c -= 1\n elif x == -1:\n x = 1\n c += 1\n ans.append(x)\n (i, j) = (i - 1, j - 1)\n while len(ans) > 1 and ans[-1] == 0:\n ans.pop()\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-15,65,14,12,81,19,133,-34,-17,-47]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":87,\"native_task_name\":\"addNegabinary:list\",\"output_value\":[-15,65,14,12,81,19,133,-34,-17,-47]}]"} {"id": "python/single_target_baseline/87/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 87, "target_native_task_name": "addNegabinary:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-31, 51, -69, -85, 36, -5, -5, 19, 52, 9]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_arr2_static = [73, -39, -81, 71, 34, 44, 92, 54, -9, -39].\nTrace the execution of task_1 with inputs arr2 = task_1_arr2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], arr2: List[int]) -> List[int]:\n (i, j) = (len(list_1) - 1, len(arr2) - 1)\n c = 0\n ans = []\n while i >= 0 or j >= 0 or c:\n a = 0 if i < 0 else list_1[i]\n b = 0 if j < 0 else arr2[j]\n x = a + b + c\n c = 0\n if x >= 2:\n x -= 2\n c -= 1\n elif x == -1:\n x = 1\n c += 1\n ans.append(x)\n (i, j) = (i - 1, j - 1)\n while len(ans) > 1 and ans[-1] == 0:\n ans.pop()\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,1,39,10,-150,-15,67,36,84,70,41,-30]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":87,\"native_task_name\":\"addNegabinary:list\",\"output_value\":[1,1,39,10,-150,-15,67,36,84,70,41,-30]}]"} {"id": "python/single_target_baseline/87/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 87, "target_native_task_name": "addNegabinary:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [31, 64, -19, 50, -95, 58, -46, 33, -30, -100]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_arr2_static = [8, -90, 58, -13, 87, -73, -35, 82, 94, 63].\nTrace the execution of task_1 with inputs arr2 = task_1_arr2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], arr2: List[int]) -> List[int]:\n (i, j) = (len(list_1) - 1, len(arr2) - 1)\n c = 0\n ans = []\n while i >= 0 or j >= 0 or c:\n a = 0 if i < 0 else list_1[i]\n b = 0 if j < 0 else arr2[j]\n x = a + b + c\n c = 0\n if x >= 2:\n x -= 2\n c -= 1\n elif x == -1:\n x = 1\n c += 1\n ans.append(x)\n (i, j) = (i - 1, j - 1)\n while len(ans) > 1 and ans[-1] == 0:\n ans.pop()\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,1,37,-27,36,35,-8,-15,-82,112,61,61]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":87,\"native_task_name\":\"addNegabinary:list\",\"output_value\":[1,1,37,-27,36,35,-8,-15,-82,112,61,61]}]"} {"id": "python/single_target_baseline/87/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 87, "target_native_task_name": "addNegabinary:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-18, -10, -25, 51, 20, -98, 87, -82, 22, -68]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_arr2_static = [-35, -2, 59, 26, 75, -25, 31, 40, -68, -67].\nTrace the execution of task_1 with inputs arr2 = task_1_arr2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], arr2: List[int]) -> List[int]:\n (i, j) = (len(list_1) - 1, len(arr2) - 1)\n c = 0\n ans = []\n while i >= 0 or j >= 0 or c:\n a = 0 if i < 0 else list_1[i]\n b = 0 if j < 0 else arr2[j]\n x = a + b + c\n c = 0\n if x >= 2:\n x -= 2\n c -= 1\n elif x == -1:\n x = 1\n c += 1\n ans.append(x)\n (i, j) = (i - 1, j - 1)\n while len(ans) > 1 and ans[-1] == 0:\n ans.pop()\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-53,-13,31,74,93,-124,116,-42,-46,-135]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":87,\"native_task_name\":\"addNegabinary:list\",\"output_value\":[-53,-13,31,74,93,-124,116,-42,-46,-135]}]"} {"id": "python/single_target_baseline/87/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 87, "target_native_task_name": "addNegabinary:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [38, 13, 94, 74, -51, 98, -22, -21, -52, -23]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_arr2_static = [-76, 77, 8, 85, -87, 23, -28, 64, -49, -74].\nTrace the execution of task_1 with inputs arr2 = task_1_arr2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], arr2: List[int]) -> List[int]:\n (i, j) = (len(list_1) - 1, len(arr2) - 1)\n c = 0\n ans = []\n while i >= 0 or j >= 0 or c:\n a = 0 if i < 0 else list_1[i]\n b = 0 if j < 0 else arr2[j]\n x = a + b + c\n c = 0\n if x >= 2:\n x -= 2\n c -= 1\n elif x == -1:\n x = 1\n c += 1\n ans.append(x)\n (i, j) = (i - 1, j - 1)\n while len(ans) > 1 and ans[-1] == 0:\n ans.pop()\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-39,87,99,157,-139,119,-51,41,-101,-97]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":87,\"native_task_name\":\"addNegabinary:list\",\"output_value\":[-39,87,99,157,-139,119,-51,41,-101,-97]}]"} {"id": "python/single_target_baseline/87/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 87, "target_native_task_name": "addNegabinary:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-81, -32, -98, -7, -16, 4, -12, -60, 42, 20]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_arr2_static = [36, -31, 100, -6, 41, -5, 25, 44, 90, -72].\nTrace the execution of task_1 with inputs arr2 = task_1_arr2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], arr2: List[int]) -> List[int]:\n (i, j) = (len(list_1) - 1, len(arr2) - 1)\n c = 0\n ans = []\n while i >= 0 or j >= 0 or c:\n a = 0 if i < 0 else list_1[i]\n b = 0 if j < 0 else arr2[j]\n x = a + b + c\n c = 0\n if x >= 2:\n x -= 2\n c -= 1\n elif x == -1:\n x = 1\n c += 1\n ans.append(x)\n (i, j) = (i - 1, j - 1)\n while len(ans) > 1 and ans[-1] == 0:\n ans.pop()\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-45,-64,0,-14,23,-2,11,-17,130,-52]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":87,\"native_task_name\":\"addNegabinary:list\",\"output_value\":[-45,-64,0,-14,23,-2,11,-17,130,-52]}]"} {"id": "python/single_target_baseline/87/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 87, "target_native_task_name": "addNegabinary:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [65, 49, -31, -34, 49, -79, -84, -47, 82, 65]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_arr2_static = [-52, -62, 68, 33, -31, 87, -70, -72, 74, 4].\nTrace the execution of task_1 with inputs arr2 = task_1_arr2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], arr2: List[int]) -> List[int]:\n (i, j) = (len(list_1) - 1, len(arr2) - 1)\n c = 0\n ans = []\n while i >= 0 or j >= 0 or c:\n a = 0 if i < 0 else list_1[i]\n b = 0 if j < 0 else arr2[j]\n x = a + b + c\n c = 0\n if x >= 2:\n x -= 2\n c -= 1\n elif x == -1:\n x = 1\n c += 1\n ans.append(x)\n (i, j) = (i - 1, j - 1)\n while len(ans) > 1 and ans[-1] == 0:\n ans.pop()\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,1,11,-14,35,-2,15,6,-154,-120,153,67]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":87,\"native_task_name\":\"addNegabinary:list\",\"output_value\":[1,1,11,-14,35,-2,15,6,-154,-120,153,67]}]"} {"id": "python/single_target_baseline/87/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 87, "target_native_task_name": "addNegabinary:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [46, 41, 98, 39, -76, 56, -58, 79, 40, -3]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_arr2_static = [13, -6, -22, 36, 19, 4, -86, -43, -69, -7].\nTrace the execution of task_1 with inputs arr2 = task_1_arr2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], arr2: List[int]) -> List[int]:\n (i, j) = (len(list_1) - 1, len(arr2) - 1)\n c = 0\n ans = []\n while i >= 0 or j >= 0 or c:\n a = 0 if i < 0 else list_1[i]\n b = 0 if j < 0 else arr2[j]\n x = a + b + c\n c = 0\n if x >= 2:\n x -= 2\n c -= 1\n elif x == -1:\n x = 1\n c += 1\n ans.append(x)\n (i, j) = (i - 1, j - 1)\n while len(ans) > 1 and ans[-1] == 0:\n ans.pop()\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,1,56,32,73,73,-58,58,-145,34,-29,-10]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":87,\"native_task_name\":\"addNegabinary:list\",\"output_value\":[1,1,56,32,73,73,-58,58,-145,34,-29,-10]}]"} {"id": "python/single_target_baseline/87/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 87, "target_native_task_name": "addNegabinary:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-27, 4, -9, -33, 60, -47, -44, 41, -55, -42]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_arr2_static = [70, -61, -33, 79, 85, 76, -74, -90, -45, -86].\nTrace the execution of task_1 with inputs arr2 = task_1_arr2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], arr2: List[int]) -> List[int]:\n (i, j) = (len(list_1) - 1, len(arr2) - 1)\n c = 0\n ans = []\n while i >= 0 or j >= 0 or c:\n a = 0 if i < 0 else list_1[i]\n b = 0 if j < 0 else arr2[j]\n x = a + b + c\n c = 0\n if x >= 2:\n x -= 2\n c -= 1\n elif x == -1:\n x = 1\n c += 1\n ans.append(x)\n (i, j) = (i - 1, j - 1)\n while len(ans) > 1 and ans[-1] == 0:\n ans.pop()\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,1,41,-57,-43,43,142,27,-118,-49,-100,-128]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":87,\"native_task_name\":\"addNegabinary:list\",\"output_value\":[1,1,41,-57,-43,43,142,27,-118,-49,-100,-128]}]"} {"id": "python/single_target_baseline/87/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 87, "target_native_task_name": "addNegabinary:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-90, 51, 59, 13, -55, -54, 99, 89, -38, 99]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_arr2_static = [-64, 6, 64, -96, 30, 79, -24, -98, -100, -29].\nTrace the execution of task_1 with inputs arr2 = task_1_arr2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], arr2: List[int]) -> List[int]:\n (i, j) = (len(list_1) - 1, len(arr2) - 1)\n c = 0\n ans = []\n while i >= 0 or j >= 0 or c:\n a = 0 if i < 0 else list_1[i]\n b = 0 if j < 0 else arr2[j]\n x = a + b + c\n c = 0\n if x >= 2:\n x -= 2\n c -= 1\n elif x == -1:\n x = 1\n c += 1\n ans.append(x)\n (i, j) = (i - 1, j - 1)\n while len(ans) > 1 and ans[-1] == 0:\n ans.pop()\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-155,54,121,-83,-26,22,73,-9,-139,68]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":87,\"native_task_name\":\"addNegabinary:list\",\"output_value\":[-155,54,121,-83,-26,22,73,-9,-139,68]}]"} {"id": "python/single_target_baseline/87/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 87, "target_native_task_name": "addNegabinary:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-45, -72, -100, 78, 18, -83, 68, 82, -46, 17]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_arr2_static = [20, -49, 23, 30, -60, 16, 23, 97, -5, -33].\nTrace the execution of task_1 with inputs arr2 = task_1_arr2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], arr2: List[int]) -> List[int]:\n (i, j) = (len(list_1) - 1, len(arr2) - 1)\n c = 0\n ans = []\n while i >= 0 or j >= 0 or c:\n a = 0 if i < 0 else list_1[i]\n b = 0 if j < 0 else arr2[j]\n x = a + b + c\n c = 0\n if x >= 2:\n x -= 2\n c -= 1\n elif x == -1:\n x = 1\n c += 1\n ans.append(x)\n (i, j) = (i - 1, j - 1)\n while len(ans) > 1 and ans[-1] == 0:\n ans.pop()\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-25,-122,20,106,-42,-68,88,177,-51,-16]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":87,\"native_task_name\":\"addNegabinary:list\",\"output_value\":[-25,-122,20,106,-42,-68,88,177,-51,-16]}]"} {"id": "python/single_target_baseline/87/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 87, "target_native_task_name": "addNegabinary:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-89, -53, -13, -23, 2, -3, 70, -25, -8, 94]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_arr2_static = [-13, 44, -19, 65, -87, 37, 12, -32, 14, 40].\nTrace the execution of task_1 with inputs arr2 = task_1_arr2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], arr2: List[int]) -> List[int]:\n (i, j) = (len(list_1) - 1, len(arr2) - 1)\n c = 0\n ans = []\n while i >= 0 or j >= 0 or c:\n a = 0 if i < 0 else list_1[i]\n b = 0 if j < 0 else arr2[j]\n x = a + b + c\n c = 0\n if x >= 2:\n x -= 2\n c -= 1\n elif x == -1:\n x = 1\n c += 1\n ans.append(x)\n (i, j) = (i - 1, j - 1)\n while len(ans) > 1 and ans[-1] == 0:\n ans.pop()\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-102,-9,-33,40,-86,31,80,-58,3,132]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":87,\"native_task_name\":\"addNegabinary:list\",\"output_value\":[-102,-9,-33,40,-86,31,80,-58,3,132]}]"} {"id": "python/single_target_baseline/87/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 87, "target_native_task_name": "addNegabinary:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [11, -36, -80, -27, 34, -75, 42, 62, -84, 15]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_arr2_static = [73, 18, 82, -67, -47, 16, 76, 31, -91, 71].\nTrace the execution of task_1 with inputs arr2 = task_1_arr2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], arr2: List[int]) -> List[int]:\n (i, j) = (len(list_1) - 1, len(arr2) - 1)\n c = 0\n ans = []\n while i >= 0 or j >= 0 or c:\n a = 0 if i < 0 else list_1[i]\n b = 0 if j < 0 else arr2[j]\n x = a + b + c\n c = 0\n if x >= 2:\n x -= 2\n c -= 1\n elif x == -1:\n x = 1\n c += 1\n ans.append(x)\n (i, j) = (i - 1, j - 1)\n while len(ans) > 1 and ans[-1] == 0:\n ans.pop()\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,1,82,-19,0,-94,-13,-60,115,91,-176,84]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":87,\"native_task_name\":\"addNegabinary:list\",\"output_value\":[1,1,82,-19,0,-94,-13,-60,115,91,-176,84]}]"} {"id": "python/single_target_baseline/87/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 87, "target_native_task_name": "addNegabinary:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [72, 98, 11, 4, -24, -50, 44, 82, 81, 65]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_arr2_static = [-69, 55, -65, 82, -8, 59, 56, 65, 59, -48].\nTrace the execution of task_1 with inputs arr2 = task_1_arr2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], arr2: List[int]) -> List[int]:\n (i, j) = (len(list_1) - 1, len(arr2) - 1)\n c = 0\n ans = []\n while i >= 0 or j >= 0 or c:\n a = 0 if i < 0 else list_1[i]\n b = 0 if j < 0 else arr2[j]\n x = a + b + c\n c = 0\n if x >= 2:\n x -= 2\n c -= 1\n elif x == -1:\n x = 1\n c += 1\n ans.append(x)\n (i, j) = (i - 1, j - 1)\n while len(ans) > 1 and ans[-1] == 0:\n ans.pop()\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,1,0,151,-55,84,-33,6,97,144,137,15]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":87,\"native_task_name\":\"addNegabinary:list\",\"output_value\":[1,1,0,151,-55,84,-33,6,97,144,137,15]}]"} {"id": "python/single_target_baseline/87/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 87, "target_native_task_name": "addNegabinary:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [97, -63, 30, -61, -40, -97, -50, 76, 6, -78]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_arr2_static = [95, 91, 33, 42, 7, -77, 88, 29, -61, 16].\nTrace the execution of task_1 with inputs arr2 = task_1_arr2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], arr2: List[int]) -> List[int]:\n (i, j) = (len(list_1) - 1, len(arr2) - 1)\n c = 0\n ans = []\n while i >= 0 or j >= 0 or c:\n a = 0 if i < 0 else list_1[i]\n b = 0 if j < 0 else arr2[j]\n x = a + b + c\n c = 0\n if x >= 2:\n x -= 2\n c -= 1\n elif x == -1:\n x = 1\n c += 1\n ans.append(x)\n (i, j) = (i - 1, j - 1)\n while len(ans) > 1 and ans[-1] == 0:\n ans.pop()\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[1,1,189,25,61,-19,-33,-175,35,103,-55,-62]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":87,\"native_task_name\":\"addNegabinary:list\",\"output_value\":[1,1,189,25,61,-19,-33,-175,35,103,-55,-62]}]"} {"id": "python/single_target_baseline/87/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 87, "target_native_task_name": "addNegabinary:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [30, -87, -35, -15, -59, 95, 94, 76, -78, 64]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_arr2_static = [-78, -67, 11, -2, -49, -37, 34, 52, 51, 57].\nTrace the execution of task_1 with inputs arr2 = task_1_arr2_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], arr2: List[int]) -> List[int]:\n (i, j) = (len(list_1) - 1, len(arr2) - 1)\n c = 0\n ans = []\n while i >= 0 or j >= 0 or c:\n a = 0 if i < 0 else list_1[i]\n b = 0 if j < 0 else arr2[j]\n x = a + b + c\n c = 0\n if x >= 2:\n x -= 2\n c -= 1\n elif x == -1:\n x = 1\n c += 1\n ans.append(x)\n (i, j) = (i - 1, j - 1)\n while len(ans) > 1 and ans[-1] == 0:\n ans.pop()\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[-48,-154,-24,-17,-109,55,125,126,-28,119]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":87,\"native_task_name\":\"addNegabinary:list\",\"output_value\":[-48,-154,-24,-17,-109,55,125,126,-28,119]}]"} {"id": "python/single_target_baseline/88/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 88, "target_native_task_name": "minOperationsToMakeMedianK:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-10, 85, 54, -33, 37, 51, 41, -74, -18, 90]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 26.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n list_1.sort()\n n = len(list_1)\n m = n >> 1\n ans = abs(list_1[m] - k)\n if list_1[m] > k:\n for i in range(m - 1, -1, -1):\n if list_1[i] <= k:\n break\n ans += list_1[i] - k\n else:\n for i in range(m + 1, n):\n if list_1[i] >= k:\n break\n ans += k - list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "26", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":88,\"native_task_name\":\"minOperationsToMakeMedianK:list\",\"output_value\":26}]"} {"id": "python/single_target_baseline/88/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 88, "target_native_task_name": "minOperationsToMakeMedianK:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-5, 7, 3, -82, -57, -99, 32, 18, 68, 62]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -32.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n list_1.sort()\n n = len(list_1)\n m = n >> 1\n ans = abs(list_1[m] - k)\n if list_1[m] > k:\n for i in range(m - 1, -1, -1):\n if list_1[i] <= k:\n break\n ans += list_1[i] - k\n else:\n for i in range(m + 1, n):\n if list_1[i] >= k:\n break\n ans += k - list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "101", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":88,\"native_task_name\":\"minOperationsToMakeMedianK:list\",\"output_value\":101}]"} {"id": "python/single_target_baseline/88/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 88, "target_native_task_name": "minOperationsToMakeMedianK:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [71, 42, 91, 65, 10, -99, 33, -76, 60, -76]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -31.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n list_1.sort()\n n = len(list_1)\n m = n >> 1\n ans = abs(list_1[m] - k)\n if list_1[m] > k:\n for i in range(m - 1, -1, -1):\n if list_1[i] <= k:\n break\n ans += list_1[i] - k\n else:\n for i in range(m + 1, n):\n if list_1[i] >= k:\n break\n ans += k - list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "178", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":88,\"native_task_name\":\"minOperationsToMakeMedianK:list\",\"output_value\":178}]"} {"id": "python/single_target_baseline/88/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 88, "target_native_task_name": "minOperationsToMakeMedianK:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [38, 93, 89, 52, 40, 87, -65, 91, -16, 19]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -9.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n list_1.sort()\n n = len(list_1)\n m = n >> 1\n ans = abs(list_1[m] - k)\n if list_1[m] > k:\n for i in range(m - 1, -1, -1):\n if list_1[i] <= k:\n break\n ans += list_1[i] - k\n else:\n for i in range(m + 1, n):\n if list_1[i] >= k:\n break\n ans += k - list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "185", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":88,\"native_task_name\":\"minOperationsToMakeMedianK:list\",\"output_value\":185}]"} {"id": "python/single_target_baseline/88/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 88, "target_native_task_name": "minOperationsToMakeMedianK:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-38, -80, -16, -80, 1, -45, 49, -40, 77, 91]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -49.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n list_1.sort()\n n = len(list_1)\n m = n >> 1\n ans = abs(list_1[m] - k)\n if list_1[m] > k:\n for i in range(m - 1, -1, -1):\n if list_1[i] <= k:\n break\n ans += list_1[i] - k\n else:\n for i in range(m + 1, n):\n if list_1[i] >= k:\n break\n ans += k - list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "57", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":88,\"native_task_name\":\"minOperationsToMakeMedianK:list\",\"output_value\":57}]"} {"id": "python/single_target_baseline/88/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 88, "target_native_task_name": "minOperationsToMakeMedianK:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-95, -6, 68, 73, 97, 56, 58, 51, -26, -16]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 51.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n list_1.sort()\n n = len(list_1)\n m = n >> 1\n ans = abs(list_1[m] - k)\n if list_1[m] > k:\n for i in range(m - 1, -1, -1):\n if list_1[i] <= k:\n break\n ans += list_1[i] - k\n else:\n for i in range(m + 1, n):\n if list_1[i] >= k:\n break\n ans += k - list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":88,\"native_task_name\":\"minOperationsToMakeMedianK:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/88/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 88, "target_native_task_name": "minOperationsToMakeMedianK:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-91, -84, 37, 18, 31, -40, -93, 9, -100, 86]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 16.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n list_1.sort()\n n = len(list_1)\n m = n >> 1\n ans = abs(list_1[m] - k)\n if list_1[m] > k:\n for i in range(m - 1, -1, -1):\n if list_1[i] <= k:\n break\n ans += list_1[i] - k\n else:\n for i in range(m + 1, n):\n if list_1[i] >= k:\n break\n ans += k - list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":88,\"native_task_name\":\"minOperationsToMakeMedianK:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/88/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 88, "target_native_task_name": "minOperationsToMakeMedianK:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-70, 72, -93, -24, 82, 48, 72, -35, -82, -97]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 18.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n list_1.sort()\n n = len(list_1)\n m = n >> 1\n ans = abs(list_1[m] - k)\n if list_1[m] > k:\n for i in range(m - 1, -1, -1):\n if list_1[i] <= k:\n break\n ans += list_1[i] - k\n else:\n for i in range(m + 1, n):\n if list_1[i] >= k:\n break\n ans += k - list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "42", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":88,\"native_task_name\":\"minOperationsToMakeMedianK:list\",\"output_value\":42}]"} {"id": "python/single_target_baseline/88/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 88, "target_native_task_name": "minOperationsToMakeMedianK:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-91, -81, -52, 69, -71, 98, -59, -41, 60, 56]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 77.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n list_1.sort()\n n = len(list_1)\n m = n >> 1\n ans = abs(list_1[m] - k)\n if list_1[m] > k:\n for i in range(m - 1, -1, -1):\n if list_1[i] <= k:\n break\n ans += list_1[i] - k\n else:\n for i in range(m + 1, n):\n if list_1[i] >= k:\n break\n ans += k - list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "164", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":88,\"native_task_name\":\"minOperationsToMakeMedianK:list\",\"output_value\":164}]"} {"id": "python/single_target_baseline/88/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 88, "target_native_task_name": "minOperationsToMakeMedianK:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-68, 69, -52, 82, 46, 41, 93, -45, -31, -75]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 2.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n list_1.sort()\n n = len(list_1)\n m = n >> 1\n ans = abs(list_1[m] - k)\n if list_1[m] > k:\n for i in range(m - 1, -1, -1):\n if list_1[i] <= k:\n break\n ans += list_1[i] - k\n else:\n for i in range(m + 1, n):\n if list_1[i] >= k:\n break\n ans += k - list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "39", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":88,\"native_task_name\":\"minOperationsToMakeMedianK:list\",\"output_value\":39}]"} {"id": "python/single_target_baseline/88/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 88, "target_native_task_name": "minOperationsToMakeMedianK:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-85, 15, 53, -74, -45, -45, -46, 14, -83, 79]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 80.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n list_1.sort()\n n = len(list_1)\n m = n >> 1\n ans = abs(list_1[m] - k)\n if list_1[m] > k:\n for i in range(m - 1, -1, -1):\n if list_1[i] <= k:\n break\n ans += list_1[i] - k\n else:\n for i in range(m + 1, n):\n if list_1[i] >= k:\n break\n ans += k - list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "284", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":88,\"native_task_name\":\"minOperationsToMakeMedianK:list\",\"output_value\":284}]"} {"id": "python/single_target_baseline/88/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 88, "target_native_task_name": "minOperationsToMakeMedianK:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-27, 54, -8, -69, 39, 9, -36, 14, -42, 92]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -88.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n list_1.sort()\n n = len(list_1)\n m = n >> 1\n ans = abs(list_1[m] - k)\n if list_1[m] > k:\n for i in range(m - 1, -1, -1):\n if list_1[i] <= k:\n break\n ans += list_1[i] - k\n else:\n for i in range(m + 1, n):\n if list_1[i] >= k:\n break\n ans += k - list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "355", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":88,\"native_task_name\":\"minOperationsToMakeMedianK:list\",\"output_value\":355}]"} {"id": "python/single_target_baseline/88/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 88, "target_native_task_name": "minOperationsToMakeMedianK:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [13, -13, 55, -7, -79, 84, -15, -48, -82, 1]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 49.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n list_1.sort()\n n = len(list_1)\n m = n >> 1\n ans = abs(list_1[m] - k)\n if list_1[m] > k:\n for i in range(m - 1, -1, -1):\n if list_1[i] <= k:\n break\n ans += list_1[i] - k\n else:\n for i in range(m + 1, n):\n if list_1[i] >= k:\n break\n ans += k - list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "140", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":88,\"native_task_name\":\"minOperationsToMakeMedianK:list\",\"output_value\":140}]"} {"id": "python/single_target_baseline/88/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 88, "target_native_task_name": "minOperationsToMakeMedianK:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [22, -6, -40, 23, -9, 94, -86, -100, 93, 20]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = 38.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n list_1.sort()\n n = len(list_1)\n m = n >> 1\n ans = abs(list_1[m] - k)\n if list_1[m] > k:\n for i in range(m - 1, -1, -1):\n if list_1[i] <= k:\n break\n ans += list_1[i] - k\n else:\n for i in range(m + 1, n):\n if list_1[i] >= k:\n break\n ans += k - list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "49", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":88,\"native_task_name\":\"minOperationsToMakeMedianK:list\",\"output_value\":49}]"} {"id": "python/single_target_baseline/88/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 88, "target_native_task_name": "minOperationsToMakeMedianK:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-26, 75, -91, 55, -18, 100, -10, -82, -88, -68]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -49.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n list_1.sort()\n n = len(list_1)\n m = n >> 1\n ans = abs(list_1[m] - k)\n if list_1[m] > k:\n for i in range(m - 1, -1, -1):\n if list_1[i] <= k:\n break\n ans += list_1[i] - k\n else:\n for i in range(m + 1, n):\n if list_1[i] >= k:\n break\n ans += k - list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "54", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":88,\"native_task_name\":\"minOperationsToMakeMedianK:list\",\"output_value\":54}]"} {"id": "python/single_target_baseline/88/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 88, "target_native_task_name": "minOperationsToMakeMedianK:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-82, 72, 6, 86, 7, -41, -48, 47, 63, -21]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_k_static = -11.\nTrace the execution of task_1 with inputs k = task_1_k_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], k: int) -> int:\n list_1.sort()\n n = len(list_1)\n m = n >> 1\n ans = abs(list_1[m] - k)\n if list_1[m] > k:\n for i in range(m - 1, -1, -1):\n if list_1[i] <= k:\n break\n ans += list_1[i] - k\n else:\n for i in range(m + 1, n):\n if list_1[i] >= k:\n break\n ans += k - list_1[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "35", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":88,\"native_task_name\":\"minOperationsToMakeMedianK:list\",\"output_value\":35}]"} {"id": "python/single_target_baseline/89/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 89, "target_native_task_name": "minOperationsToMakeMedianK:scalar", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 84}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-78, 22, -56, 45, 84, -24, 39, -93, -9, -41].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n n = len(nums)\n m = n >> 1\n ans = abs(nums[m] - val_1)\n if nums[m] > val_1:\n for i in range(m - 1, -1, -1):\n if nums[i] <= val_1:\n break\n ans += nums[i] - val_1\n else:\n for i in range(m + 1, n):\n if nums[i] >= val_1:\n break\n ans += val_1 - nums[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "239", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":89,\"native_task_name\":\"minOperationsToMakeMedianK:scalar\",\"output_value\":239}]"} {"id": "python/single_target_baseline/89/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 89, "target_native_task_name": "minOperationsToMakeMedianK:scalar", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 87}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-27, 89, 97, -35, 67, -65, 88, 89, 72, 48].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n n = len(nums)\n m = n >> 1\n ans = abs(nums[m] - val_1)\n if nums[m] > val_1:\n for i in range(m - 1, -1, -1):\n if nums[i] <= val_1:\n break\n ans += nums[i] - val_1\n else:\n for i in range(m + 1, n):\n if nums[i] >= val_1:\n break\n ans += val_1 - nums[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "15", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":89,\"native_task_name\":\"minOperationsToMakeMedianK:scalar\",\"output_value\":15}]"} {"id": "python/single_target_baseline/89/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 89, "target_native_task_name": "minOperationsToMakeMedianK:scalar", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 82}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [70, 67, -4, 61, -73, 90, 40, 25, -10, 98].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n n = len(nums)\n m = n >> 1\n ans = abs(nums[m] - val_1)\n if nums[m] > val_1:\n for i in range(m - 1, -1, -1):\n if nums[i] <= val_1:\n break\n ans += nums[i] - val_1\n else:\n for i in range(m + 1, n):\n if nums[i] >= val_1:\n break\n ans += val_1 - nums[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "48", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":89,\"native_task_name\":\"minOperationsToMakeMedianK:scalar\",\"output_value\":48}]"} {"id": "python/single_target_baseline/89/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 89, "target_native_task_name": "minOperationsToMakeMedianK:scalar", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -79}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-80, 64, 9, -76, 32, 28, -10, -31, -46, 20].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n n = len(nums)\n m = n >> 1\n ans = abs(nums[m] - val_1)\n if nums[m] > val_1:\n for i in range(m - 1, -1, -1):\n if nums[i] <= val_1:\n break\n ans += nums[i] - val_1\n else:\n for i in range(m + 1, n):\n if nums[i] >= val_1:\n break\n ans += val_1 - nums[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "241", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":89,\"native_task_name\":\"minOperationsToMakeMedianK:scalar\",\"output_value\":241}]"} {"id": "python/single_target_baseline/89/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 89, "target_native_task_name": "minOperationsToMakeMedianK:scalar", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 23}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [18, 97, -52, -23, -74, 72, -21, 41, 15, 32].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n n = len(nums)\n m = n >> 1\n ans = abs(nums[m] - val_1)\n if nums[m] > val_1:\n for i in range(m - 1, -1, -1):\n if nums[i] <= val_1:\n break\n ans += nums[i] - val_1\n else:\n for i in range(m + 1, n):\n if nums[i] >= val_1:\n break\n ans += val_1 - nums[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":89,\"native_task_name\":\"minOperationsToMakeMedianK:scalar\",\"output_value\":5}]"} {"id": "python/single_target_baseline/89/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 89, "target_native_task_name": "minOperationsToMakeMedianK:scalar", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 22}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-70, -14, -62, -54, -69, 49, -44, 55, 7, 72].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n n = len(nums)\n m = n >> 1\n ans = abs(nums[m] - val_1)\n if nums[m] > val_1:\n for i in range(m - 1, -1, -1):\n if nums[i] <= val_1:\n break\n ans += nums[i] - val_1\n else:\n for i in range(m + 1, n):\n if nums[i] >= val_1:\n break\n ans += val_1 - nums[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "51", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":89,\"native_task_name\":\"minOperationsToMakeMedianK:scalar\",\"output_value\":51}]"} {"id": "python/single_target_baseline/89/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 89, "target_native_task_name": "minOperationsToMakeMedianK:scalar", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -52}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-36, -53, -49, 82, 69, -61, 23, 38, 93, -94].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n n = len(nums)\n m = n >> 1\n ans = abs(nums[m] - val_1)\n if nums[m] > val_1:\n for i in range(m - 1, -1, -1):\n if nums[i] <= val_1:\n break\n ans += nums[i] - val_1\n else:\n for i in range(m + 1, n):\n if nums[i] >= val_1:\n break\n ans += val_1 - nums[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "94", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":89,\"native_task_name\":\"minOperationsToMakeMedianK:scalar\",\"output_value\":94}]"} {"id": "python/single_target_baseline/89/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 89, "target_native_task_name": "minOperationsToMakeMedianK:scalar", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -40}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [49, -9, -95, -98, -99, -93, -96, -77, -76, 94].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n n = len(nums)\n m = n >> 1\n ans = abs(nums[m] - val_1)\n if nums[m] > val_1:\n for i in range(m - 1, -1, -1):\n if nums[i] <= val_1:\n break\n ans += nums[i] - val_1\n else:\n for i in range(m + 1, n):\n if nums[i] >= val_1:\n break\n ans += val_1 - nums[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "73", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":89,\"native_task_name\":\"minOperationsToMakeMedianK:scalar\",\"output_value\":73}]"} {"id": "python/single_target_baseline/89/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 89, "target_native_task_name": "minOperationsToMakeMedianK:scalar", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -49}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [97, 6, -84, 49, 59, -44, -77, -18, 1, 76].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n n = len(nums)\n m = n >> 1\n ans = abs(nums[m] - val_1)\n if nums[m] > val_1:\n for i in range(m - 1, -1, -1):\n if nums[i] <= val_1:\n break\n ans += nums[i] - val_1\n else:\n for i in range(m + 1, n):\n if nums[i] >= val_1:\n break\n ans += val_1 - nums[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "141", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":89,\"native_task_name\":\"minOperationsToMakeMedianK:scalar\",\"output_value\":141}]"} {"id": "python/single_target_baseline/89/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 89, "target_native_task_name": "minOperationsToMakeMedianK:scalar", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 59}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [92, 33, -36, 38, -37, -64, 84, 24, 35, 82].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n n = len(nums)\n m = n >> 1\n ans = abs(nums[m] - val_1)\n if nums[m] > val_1:\n for i in range(m - 1, -1, -1):\n if nums[i] <= val_1:\n break\n ans += nums[i] - val_1\n else:\n for i in range(m + 1, n):\n if nums[i] >= val_1:\n break\n ans += val_1 - nums[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "45", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":89,\"native_task_name\":\"minOperationsToMakeMedianK:scalar\",\"output_value\":45}]"} {"id": "python/single_target_baseline/89/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 89, "target_native_task_name": "minOperationsToMakeMedianK:scalar", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 79}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-10, 46, 97, -20, 97, -62, -56, -86, -40, 62].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n n = len(nums)\n m = n >> 1\n ans = abs(nums[m] - val_1)\n if nums[m] > val_1:\n for i in range(m - 1, -1, -1):\n if nums[i] <= val_1:\n break\n ans += nums[i] - val_1\n else:\n for i in range(m + 1, n):\n if nums[i] >= val_1:\n break\n ans += val_1 - nums[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "139", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":89,\"native_task_name\":\"minOperationsToMakeMedianK:scalar\",\"output_value\":139}]"} {"id": "python/single_target_baseline/89/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 89, "target_native_task_name": "minOperationsToMakeMedianK:scalar", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 95}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [46, -48, -72, -64, 64, 9, -47, -98, -69, -26].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n n = len(nums)\n m = n >> 1\n ans = abs(nums[m] - val_1)\n if nums[m] > val_1:\n for i in range(m - 1, -1, -1):\n if nums[i] <= val_1:\n break\n ans += nums[i] - val_1\n else:\n for i in range(m + 1, n):\n if nums[i] >= val_1:\n break\n ans += val_1 - nums[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "429", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":89,\"native_task_name\":\"minOperationsToMakeMedianK:scalar\",\"output_value\":429}]"} {"id": "python/single_target_baseline/89/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 89, "target_native_task_name": "minOperationsToMakeMedianK:scalar", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 48}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [16, -64, 71, 32, 45, 61, -84, -38, 12, 44].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n n = len(nums)\n m = n >> 1\n ans = abs(nums[m] - val_1)\n if nums[m] > val_1:\n for i in range(m - 1, -1, -1):\n if nums[i] <= val_1:\n break\n ans += nums[i] - val_1\n else:\n for i in range(m + 1, n):\n if nums[i] >= val_1:\n break\n ans += val_1 - nums[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "23", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":89,\"native_task_name\":\"minOperationsToMakeMedianK:scalar\",\"output_value\":23}]"} {"id": "python/single_target_baseline/89/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 89, "target_native_task_name": "minOperationsToMakeMedianK:scalar", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 52}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [3, -63, -37, -48, 91, 15, -47, -62, -87, -63].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n n = len(nums)\n m = n >> 1\n ans = abs(nums[m] - val_1)\n if nums[m] > val_1:\n for i in range(m - 1, -1, -1):\n if nums[i] <= val_1:\n break\n ans += nums[i] - val_1\n else:\n for i in range(m + 1, n):\n if nums[i] >= val_1:\n break\n ans += val_1 - nums[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "274", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":89,\"native_task_name\":\"minOperationsToMakeMedianK:scalar\",\"output_value\":274}]"} {"id": "python/single_target_baseline/89/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 89, "target_native_task_name": "minOperationsToMakeMedianK:scalar", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 21}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-93, 74, 8, -27, -40, -64, -3, 17, -36, 45].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n n = len(nums)\n m = n >> 1\n ans = abs(nums[m] - val_1)\n if nums[m] > val_1:\n for i in range(m - 1, -1, -1):\n if nums[i] <= val_1:\n break\n ans += nums[i] - val_1\n else:\n for i in range(m + 1, n):\n if nums[i] >= val_1:\n break\n ans += val_1 - nums[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "41", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":89,\"native_task_name\":\"minOperationsToMakeMedianK:scalar\",\"output_value\":41}]"} {"id": "python/single_target_baseline/89/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 89, "target_native_task_name": "minOperationsToMakeMedianK:scalar", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 17}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_nums_static = [-58, -11, 53, 87, 51, -69, 46, 82, -43, -19].\nTrace the execution of task_1 with inputs nums = task_1_nums_static.\n```python\nfrom typing import List\ndef task_1(nums: List[int], val_1: int) -> int:\n nums.sort()\n n = len(nums)\n m = n >> 1\n ans = abs(nums[m] - val_1)\n if nums[m] > val_1:\n for i in range(m - 1, -1, -1):\n if nums[i] <= val_1:\n break\n ans += nums[i] - val_1\n else:\n for i in range(m + 1, n):\n if nums[i] >= val_1:\n break\n ans += val_1 - nums[i]\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "29", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":89,\"native_task_name\":\"minOperationsToMakeMedianK:scalar\",\"output_value\":29}]"} {"id": "python/single_target_baseline/90/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 90, "target_native_task_name": "smallestValue:scalar", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 13}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n while 1:\n (t, s, i) = (val_1, 0, 2)\n while i <= val_1 // i:\n while val_1 % i == 0:\n val_1 //= i\n s += i\n i += 1\n if val_1 > 1:\n s += val_1\n if s == t:\n python_result_1 = t\n return python_result_1\n val_1 = s\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "13", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":90,\"native_task_name\":\"smallestValue:scalar\",\"output_value\":13}]"} {"id": "python/single_target_baseline/90/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 90, "target_native_task_name": "smallestValue:scalar", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 16}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n while 1:\n (t, s, i) = (val_1, 0, 2)\n while i <= val_1 // i:\n while val_1 % i == 0:\n val_1 //= i\n s += i\n i += 1\n if val_1 > 1:\n s += val_1\n if s == t:\n python_result_1 = t\n return python_result_1\n val_1 = s\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":90,\"native_task_name\":\"smallestValue:scalar\",\"output_value\":5}]"} {"id": "python/single_target_baseline/90/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 90, "target_native_task_name": "smallestValue:scalar", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 57}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n while 1:\n (t, s, i) = (val_1, 0, 2)\n while i <= val_1 // i:\n while val_1 % i == 0:\n val_1 //= i\n s += i\n i += 1\n if val_1 > 1:\n s += val_1\n if s == t:\n python_result_1 = t\n return python_result_1\n val_1 = s\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "13", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":90,\"native_task_name\":\"smallestValue:scalar\",\"output_value\":13}]"} {"id": "python/single_target_baseline/90/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 90, "target_native_task_name": "smallestValue:scalar", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 54}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n while 1:\n (t, s, i) = (val_1, 0, 2)\n while i <= val_1 // i:\n while val_1 % i == 0:\n val_1 //= i\n s += i\n i += 1\n if val_1 > 1:\n s += val_1\n if s == t:\n python_result_1 = t\n return python_result_1\n val_1 = s\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "11", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":90,\"native_task_name\":\"smallestValue:scalar\",\"output_value\":11}]"} {"id": "python/single_target_baseline/90/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 90, "target_native_task_name": "smallestValue:scalar", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 17}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n while 1:\n (t, s, i) = (val_1, 0, 2)\n while i <= val_1 // i:\n while val_1 % i == 0:\n val_1 //= i\n s += i\n i += 1\n if val_1 > 1:\n s += val_1\n if s == t:\n python_result_1 = t\n return python_result_1\n val_1 = s\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "17", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":90,\"native_task_name\":\"smallestValue:scalar\",\"output_value\":17}]"} {"id": "python/single_target_baseline/90/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 90, "target_native_task_name": "smallestValue:scalar", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 50}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n while 1:\n (t, s, i) = (val_1, 0, 2)\n while i <= val_1 // i:\n while val_1 % i == 0:\n val_1 //= i\n s += i\n i += 1\n if val_1 > 1:\n s += val_1\n if s == t:\n python_result_1 = t\n return python_result_1\n val_1 = s\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":90,\"native_task_name\":\"smallestValue:scalar\",\"output_value\":7}]"} {"id": "python/single_target_baseline/90/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 90, "target_native_task_name": "smallestValue:scalar", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 24}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n while 1:\n (t, s, i) = (val_1, 0, 2)\n while i <= val_1 // i:\n while val_1 % i == 0:\n val_1 //= i\n s += i\n i += 1\n if val_1 > 1:\n s += val_1\n if s == t:\n python_result_1 = t\n return python_result_1\n val_1 = s\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":90,\"native_task_name\":\"smallestValue:scalar\",\"output_value\":5}]"} {"id": "python/single_target_baseline/90/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 90, "target_native_task_name": "smallestValue:scalar", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 45}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n while 1:\n (t, s, i) = (val_1, 0, 2)\n while i <= val_1 // i:\n while val_1 % i == 0:\n val_1 //= i\n s += i\n i += 1\n if val_1 > 1:\n s += val_1\n if s == t:\n python_result_1 = t\n return python_result_1\n val_1 = s\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "11", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":90,\"native_task_name\":\"smallestValue:scalar\",\"output_value\":11}]"} {"id": "python/single_target_baseline/90/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 90, "target_native_task_name": "smallestValue:scalar", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 48}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n while 1:\n (t, s, i) = (val_1, 0, 2)\n while i <= val_1 // i:\n while val_1 % i == 0:\n val_1 //= i\n s += i\n i += 1\n if val_1 > 1:\n s += val_1\n if s == t:\n python_result_1 = t\n return python_result_1\n val_1 = s\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "11", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":90,\"native_task_name\":\"smallestValue:scalar\",\"output_value\":11}]"} {"id": "python/single_target_baseline/90/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 90, "target_native_task_name": "smallestValue:scalar", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 97}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n while 1:\n (t, s, i) = (val_1, 0, 2)\n while i <= val_1 // i:\n while val_1 % i == 0:\n val_1 //= i\n s += i\n i += 1\n if val_1 > 1:\n s += val_1\n if s == t:\n python_result_1 = t\n return python_result_1\n val_1 = s\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "97", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":90,\"native_task_name\":\"smallestValue:scalar\",\"output_value\":97}]"} {"id": "python/single_target_baseline/90/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 90, "target_native_task_name": "smallestValue:scalar", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 15}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n while 1:\n (t, s, i) = (val_1, 0, 2)\n while i <= val_1 // i:\n while val_1 % i == 0:\n val_1 //= i\n s += i\n i += 1\n if val_1 > 1:\n s += val_1\n if s == t:\n python_result_1 = t\n return python_result_1\n val_1 = s\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":90,\"native_task_name\":\"smallestValue:scalar\",\"output_value\":5}]"} {"id": "python/single_target_baseline/90/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 90, "target_native_task_name": "smallestValue:scalar", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 96}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n while 1:\n (t, s, i) = (val_1, 0, 2)\n while i <= val_1 // i:\n while val_1 % i == 0:\n val_1 //= i\n s += i\n i += 1\n if val_1 > 1:\n s += val_1\n if s == t:\n python_result_1 = t\n return python_result_1\n val_1 = s\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "13", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":90,\"native_task_name\":\"smallestValue:scalar\",\"output_value\":13}]"} {"id": "python/single_target_baseline/90/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 90, "target_native_task_name": "smallestValue:scalar", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 16}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n while 1:\n (t, s, i) = (val_1, 0, 2)\n while i <= val_1 // i:\n while val_1 % i == 0:\n val_1 //= i\n s += i\n i += 1\n if val_1 > 1:\n s += val_1\n if s == t:\n python_result_1 = t\n return python_result_1\n val_1 = s\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":90,\"native_task_name\":\"smallestValue:scalar\",\"output_value\":5}]"} {"id": "python/single_target_baseline/90/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 90, "target_native_task_name": "smallestValue:scalar", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 37}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n while 1:\n (t, s, i) = (val_1, 0, 2)\n while i <= val_1 // i:\n while val_1 % i == 0:\n val_1 //= i\n s += i\n i += 1\n if val_1 > 1:\n s += val_1\n if s == t:\n python_result_1 = t\n return python_result_1\n val_1 = s\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "37", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":90,\"native_task_name\":\"smallestValue:scalar\",\"output_value\":37}]"} {"id": "python/single_target_baseline/90/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 90, "target_native_task_name": "smallestValue:scalar", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 7}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n while 1:\n (t, s, i) = (val_1, 0, 2)\n while i <= val_1 // i:\n while val_1 % i == 0:\n val_1 //= i\n s += i\n i += 1\n if val_1 > 1:\n s += val_1\n if s == t:\n python_result_1 = t\n return python_result_1\n val_1 = s\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":90,\"native_task_name\":\"smallestValue:scalar\",\"output_value\":7}]"} {"id": "python/single_target_baseline/90/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 90, "target_native_task_name": "smallestValue:scalar", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 99}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nTrace the execution of task_1.\n```python\ndef task_1(val_1: int) -> int:\n while 1:\n (t, s, i) = (val_1, 0, 2)\n while i <= val_1 // i:\n while val_1 % i == 0:\n val_1 //= i\n s += i\n i += 1\n if val_1 > 1:\n s += val_1\n if s == t:\n python_result_1 = t\n return python_result_1\n val_1 = s\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "17", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":90,\"native_task_name\":\"smallestValue:scalar\",\"output_value\":17}]"} {"id": "python/single_target_baseline/91/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 91, "target_native_task_name": "minOperationsMaxProfit:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-97, 61, -20, 13, -94, 59, 80, 40, -95, -57]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_boardingCost_static = -73.\nDefine task_1_runningCost_static = 45.\nTrace the execution of task_1 with inputs boardingCost = task_1_boardingCost_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], boardingCost: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(list_1):\n wait += list_1[i] if i < len(list_1) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * boardingCost - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":91,\"native_task_name\":\"minOperationsMaxProfit:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/91/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 91, "target_native_task_name": "minOperationsMaxProfit:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [78, -9, -49, -54, 63, -81, -29, 34, 98, 82]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_boardingCost_static = -26.\nDefine task_1_runningCost_static = 21.\nTrace the execution of task_1 with inputs boardingCost = task_1_boardingCost_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], boardingCost: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(list_1):\n wait += list_1[i] if i < len(list_1) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * boardingCost - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":91,\"native_task_name\":\"minOperationsMaxProfit:list\",\"output_value\":7}]"} {"id": "python/single_target_baseline/91/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 91, "target_native_task_name": "minOperationsMaxProfit:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-35, -79, -89, 37, 77, 74, -51, -52, -17, -92]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_boardingCost_static = -16.\nDefine task_1_runningCost_static = 13.\nTrace the execution of task_1 with inputs boardingCost = task_1_boardingCost_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], boardingCost: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(list_1):\n wait += list_1[i] if i < len(list_1) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * boardingCost - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":91,\"native_task_name\":\"minOperationsMaxProfit:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/91/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 91, "target_native_task_name": "minOperationsMaxProfit:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [66, 8, -87, -27, 87, 22, 90, 6, 40, -22]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_boardingCost_static = 69.\nDefine task_1_runningCost_static = 64.\nTrace the execution of task_1 with inputs boardingCost = task_1_boardingCost_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], boardingCost: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(list_1):\n wait += list_1[i] if i < len(list_1) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * boardingCost - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "60", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":91,\"native_task_name\":\"minOperationsMaxProfit:list\",\"output_value\":60}]"} {"id": "python/single_target_baseline/91/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 91, "target_native_task_name": "minOperationsMaxProfit:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [26, 95, 40, 62, -84, -51, -60, -16, -21, 31]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_boardingCost_static = -38.\nDefine task_1_runningCost_static = -67.\nTrace the execution of task_1 with inputs boardingCost = task_1_boardingCost_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], boardingCost: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(list_1):\n wait += list_1[i] if i < len(list_1) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * boardingCost - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":91,\"native_task_name\":\"minOperationsMaxProfit:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/91/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 91, "target_native_task_name": "minOperationsMaxProfit:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-35, 56, -82, 8, 79, -36, -29, 49, -82, 95]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_boardingCost_static = -70.\nDefine task_1_runningCost_static = -18.\nTrace the execution of task_1 with inputs boardingCost = task_1_boardingCost_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], boardingCost: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(list_1):\n wait += list_1[i] if i < len(list_1) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * boardingCost - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":91,\"native_task_name\":\"minOperationsMaxProfit:list\",\"output_value\":9}]"} {"id": "python/single_target_baseline/91/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 91, "target_native_task_name": "minOperationsMaxProfit:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-15, 93, -68, 7, -8, -16, 14, 78, 18, -79]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_boardingCost_static = 95.\nDefine task_1_runningCost_static = 30.\nTrace the execution of task_1 with inputs boardingCost = task_1_boardingCost_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], boardingCost: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(list_1):\n wait += list_1[i] if i < len(list_1) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * boardingCost - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "14", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":91,\"native_task_name\":\"minOperationsMaxProfit:list\",\"output_value\":14}]"} {"id": "python/single_target_baseline/91/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 91, "target_native_task_name": "minOperationsMaxProfit:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [7, -44, -45, 6, 28, -56, 30, -50, -55, -39]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_boardingCost_static = -55.\nDefine task_1_runningCost_static = -26.\nTrace the execution of task_1 with inputs boardingCost = task_1_boardingCost_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], boardingCost: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(list_1):\n wait += list_1[i] if i < len(list_1) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * boardingCost - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":91,\"native_task_name\":\"minOperationsMaxProfit:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/91/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 91, "target_native_task_name": "minOperationsMaxProfit:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-48, 38, 44, -27, -46, -24, 55, 51, 38, -23]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_boardingCost_static = -79.\nDefine task_1_runningCost_static = -73.\nTrace the execution of task_1 with inputs boardingCost = task_1_boardingCost_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], boardingCost: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(list_1):\n wait += list_1[i] if i < len(list_1) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * boardingCost - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":91,\"native_task_name\":\"minOperationsMaxProfit:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/91/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 91, "target_native_task_name": "minOperationsMaxProfit:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [38, -14, -65, -95, -66, -68, 63, 76, -80, -26]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_boardingCost_static = -61.\nDefine task_1_runningCost_static = -81.\nTrace the execution of task_1 with inputs boardingCost = task_1_boardingCost_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], boardingCost: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(list_1):\n wait += list_1[i] if i < len(list_1) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * boardingCost - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":91,\"native_task_name\":\"minOperationsMaxProfit:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/91/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 91, "target_native_task_name": "minOperationsMaxProfit:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-29, -80, -54, 77, -85, -73, 83, 19, 31, -21]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_boardingCost_static = -89.\nDefine task_1_runningCost_static = -76.\nTrace the execution of task_1 with inputs boardingCost = task_1_boardingCost_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], boardingCost: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(list_1):\n wait += list_1[i] if i < len(list_1) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * boardingCost - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "6", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":91,\"native_task_name\":\"minOperationsMaxProfit:list\",\"output_value\":6}]"} {"id": "python/single_target_baseline/91/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 91, "target_native_task_name": "minOperationsMaxProfit:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-76, 28, -82, -32, 49, -57, -82, -75, -43, -68]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_boardingCost_static = -4.\nDefine task_1_runningCost_static = -2.\nTrace the execution of task_1 with inputs boardingCost = task_1_boardingCost_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], boardingCost: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(list_1):\n wait += list_1[i] if i < len(list_1) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * boardingCost - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":91,\"native_task_name\":\"minOperationsMaxProfit:list\",\"output_value\":10}]"} {"id": "python/single_target_baseline/91/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 91, "target_native_task_name": "minOperationsMaxProfit:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-26, -25, 9, -51, -7, 51, -38, 79, 32, -78]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_boardingCost_static = -3.\nDefine task_1_runningCost_static = -57.\nTrace the execution of task_1 with inputs boardingCost = task_1_boardingCost_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], boardingCost: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(list_1):\n wait += list_1[i] if i < len(list_1) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * boardingCost - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "17", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":91,\"native_task_name\":\"minOperationsMaxProfit:list\",\"output_value\":17}]"} {"id": "python/single_target_baseline/91/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 91, "target_native_task_name": "minOperationsMaxProfit:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-96, 41, 86, 38, 19, -74, 49, 91, -9, -48]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_boardingCost_static = 76.\nDefine task_1_runningCost_static = -77.\nTrace the execution of task_1 with inputs boardingCost = task_1_boardingCost_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], boardingCost: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(list_1):\n wait += list_1[i] if i < len(list_1) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * boardingCost - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "50", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":91,\"native_task_name\":\"minOperationsMaxProfit:list\",\"output_value\":50}]"} {"id": "python/single_target_baseline/91/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 91, "target_native_task_name": "minOperationsMaxProfit:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [23, -70, -65, 44, 99, 56, 45, -36, -33, 86]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_boardingCost_static = 61.\nDefine task_1_runningCost_static = -33.\nTrace the execution of task_1 with inputs boardingCost = task_1_boardingCost_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], boardingCost: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(list_1):\n wait += list_1[i] if i < len(list_1) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * boardingCost - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "69", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":91,\"native_task_name\":\"minOperationsMaxProfit:list\",\"output_value\":69}]"} {"id": "python/single_target_baseline/91/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 91, "target_native_task_name": "minOperationsMaxProfit:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [59, -15, -19, 29, 3, -43, -32, -43, 18, 5]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nDefine task_1_boardingCost_static = 56.\nDefine task_1_runningCost_static = -75.\nTrace the execution of task_1 with inputs boardingCost = task_1_boardingCost_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(list_1: List[int], boardingCost: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(list_1):\n wait += list_1[i] if i < len(list_1) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * boardingCost - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":91,\"native_task_name\":\"minOperationsMaxProfit:list\",\"output_value\":5}]"} {"id": "python/single_target_baseline/92/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 92, "target_native_task_name": "minOperationsMaxProfit:scalar", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -79}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_customers_static = [39, 65, -21, -13, -19, -78, 35, -8, -82, -4].\nDefine task_1_runningCost_static = 72.\nTrace the execution of task_1 with inputs customers = task_1_customers_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(customers: List[int], val_1: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(customers):\n wait += customers[i] if i < len(customers) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * val_1 - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":92,\"native_task_name\":\"minOperationsMaxProfit:scalar\",\"output_value\":10}]"} {"id": "python/single_target_baseline/92/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 92, "target_native_task_name": "minOperationsMaxProfit:scalar", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -61}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_customers_static = [-75, -93, 79, -25, -2, 21, 75, -74, -72, 78].\nDefine task_1_runningCost_static = -13.\nTrace the execution of task_1 with inputs customers = task_1_customers_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(customers: List[int], val_1: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(customers):\n wait += customers[i] if i < len(customers) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * val_1 - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":92,\"native_task_name\":\"minOperationsMaxProfit:scalar\",\"output_value\":2}]"} {"id": "python/single_target_baseline/92/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 92, "target_native_task_name": "minOperationsMaxProfit:scalar", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -46}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_customers_static = [34, -23, -97, -65, 91, 81, -83, -48, 33, 70].\nDefine task_1_runningCost_static = -88.\nTrace the execution of task_1 with inputs customers = task_1_customers_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(customers: List[int], val_1: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(customers):\n wait += customers[i] if i < len(customers) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * val_1 - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "4", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":92,\"native_task_name\":\"minOperationsMaxProfit:scalar\",\"output_value\":4}]"} {"id": "python/single_target_baseline/92/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 92, "target_native_task_name": "minOperationsMaxProfit:scalar", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -100}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_customers_static = [27, 85, -53, 30, -100, -78, -79, 86, 16, -48].\nDefine task_1_runningCost_static = -56.\nTrace the execution of task_1 with inputs customers = task_1_customers_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(customers: List[int], val_1: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(customers):\n wait += customers[i] if i < len(customers) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * val_1 - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "21", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":92,\"native_task_name\":\"minOperationsMaxProfit:scalar\",\"output_value\":21}]"} {"id": "python/single_target_baseline/92/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 92, "target_native_task_name": "minOperationsMaxProfit:scalar", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -54}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_customers_static = [-72, -31, -58, 100, 41, -90, -31, -87, -74, 32].\nDefine task_1_runningCost_static = -94.\nTrace the execution of task_1 with inputs customers = task_1_customers_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(customers: List[int], val_1: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(customers):\n wait += customers[i] if i < len(customers) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * val_1 - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "9", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":92,\"native_task_name\":\"minOperationsMaxProfit:scalar\",\"output_value\":9}]"} {"id": "python/single_target_baseline/92/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 92, "target_native_task_name": "minOperationsMaxProfit:scalar", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 79}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_customers_static = [70, -64, 100, -25, 77, -100, 89, 90, 85, -45].\nDefine task_1_runningCost_static = 32.\nTrace the execution of task_1 with inputs customers = task_1_customers_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(customers: List[int], val_1: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(customers):\n wait += customers[i] if i < len(customers) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * val_1 - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "70", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":92,\"native_task_name\":\"minOperationsMaxProfit:scalar\",\"output_value\":70}]"} {"id": "python/single_target_baseline/92/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 92, "target_native_task_name": "minOperationsMaxProfit:scalar", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -12}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_customers_static = [-66, -19, 89, 73, 6, 82, 7, -99, -37, 82].\nDefine task_1_runningCost_static = 37.\nTrace the execution of task_1 with inputs customers = task_1_customers_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(customers: List[int], val_1: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(customers):\n wait += customers[i] if i < len(customers) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * val_1 - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":92,\"native_task_name\":\"minOperationsMaxProfit:scalar\",\"output_value\":2}]"} {"id": "python/single_target_baseline/92/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 92, "target_native_task_name": "minOperationsMaxProfit:scalar", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -70}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_customers_static = [89, -36, -42, -50, -65, -76, -12, 56, -5, 16].\nDefine task_1_runningCost_static = -64.\nTrace the execution of task_1 with inputs customers = task_1_customers_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(customers: List[int], val_1: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(customers):\n wait += customers[i] if i < len(customers) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * val_1 - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "7", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":92,\"native_task_name\":\"minOperationsMaxProfit:scalar\",\"output_value\":7}]"} {"id": "python/single_target_baseline/92/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 92, "target_native_task_name": "minOperationsMaxProfit:scalar", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 1}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_customers_static = [-52, -39, 7, -19, 93, 78, -64, -12, -2, -83].\nDefine task_1_runningCost_static = -21.\nTrace the execution of task_1 with inputs customers = task_1_customers_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(customers: List[int], val_1: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(customers):\n wait += customers[i] if i < len(customers) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * val_1 - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":92,\"native_task_name\":\"minOperationsMaxProfit:scalar\",\"output_value\":10}]"} {"id": "python/single_target_baseline/92/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 92, "target_native_task_name": "minOperationsMaxProfit:scalar", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 78}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_customers_static = [-64, 83, 84, 7, 65, 86, 14, -58, 20, -58].\nDefine task_1_runningCost_static = -12.\nTrace the execution of task_1 with inputs customers = task_1_customers_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(customers: List[int], val_1: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(customers):\n wait += customers[i] if i < len(customers) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * val_1 - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "62", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":92,\"native_task_name\":\"minOperationsMaxProfit:scalar\",\"output_value\":62}]"} {"id": "python/single_target_baseline/92/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 92, "target_native_task_name": "minOperationsMaxProfit:scalar", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -45}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_customers_static = [-78, -58, 43, 2, -92, 30, 89, 19, 89, 41].\nDefine task_1_runningCost_static = 90.\nTrace the execution of task_1 with inputs customers = task_1_customers_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(customers: List[int], val_1: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(customers):\n wait += customers[i] if i < len(customers) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * val_1 - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "5", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":92,\"native_task_name\":\"minOperationsMaxProfit:scalar\",\"output_value\":5}]"} {"id": "python/single_target_baseline/92/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 92, "target_native_task_name": "minOperationsMaxProfit:scalar", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 48}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_customers_static = [52, 77, -17, 80, 40, 46, -4, 78, -29, 10].\nDefine task_1_runningCost_static = -41.\nTrace the execution of task_1 with inputs customers = task_1_customers_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(customers: List[int], val_1: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(customers):\n wait += customers[i] if i < len(customers) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * val_1 - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "84", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":92,\"native_task_name\":\"minOperationsMaxProfit:scalar\",\"output_value\":84}]"} {"id": "python/single_target_baseline/92/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 92, "target_native_task_name": "minOperationsMaxProfit:scalar", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -95}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_customers_static = [-10, 46, -51, -42, -56, -84, 86, -47, -95, -72].\nDefine task_1_runningCost_static = -40.\nTrace the execution of task_1 with inputs customers = task_1_customers_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(customers: List[int], val_1: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(customers):\n wait += customers[i] if i < len(customers) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * val_1 - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "10", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":92,\"native_task_name\":\"minOperationsMaxProfit:scalar\",\"output_value\":10}]"} {"id": "python/single_target_baseline/92/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 92, "target_native_task_name": "minOperationsMaxProfit:scalar", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 34}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_customers_static = [44, -56, -42, 6, 56, 34, 90, -34, 19, 20].\nDefine task_1_runningCost_static = 37.\nTrace the execution of task_1 with inputs customers = task_1_customers_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(customers: List[int], val_1: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(customers):\n wait += customers[i] if i < len(customers) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * val_1 - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "51", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":92,\"native_task_name\":\"minOperationsMaxProfit:scalar\",\"output_value\":51}]"} {"id": "python/single_target_baseline/92/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 92, "target_native_task_name": "minOperationsMaxProfit:scalar", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": -73}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_customers_static = [-46, -18, 34, 70, 24, 60, 78, 57, -62, 84].\nDefine task_1_runningCost_static = 15.\nTrace the execution of task_1 with inputs customers = task_1_customers_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(customers: List[int], val_1: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(customers):\n wait += customers[i] if i < len(customers) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * val_1 - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "2", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":92,\"native_task_name\":\"minOperationsMaxProfit:scalar\",\"output_value\":2}]"} {"id": "python/single_target_baseline/92/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 92, "target_native_task_name": "minOperationsMaxProfit:scalar", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": 26}.\nTask 1:\nLet val_1 be the result of preprocessing task_1_input[\"result\"] as follows - if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nDefine task_1_customers_static = [-13, 41, -74, 12, 98, -98, 69, 36, 63, 32].\nDefine task_1_runningCost_static = -40.\nTrace the execution of task_1 with inputs customers = task_1_customers_static, runningCost = task_1_runningCost_static.\n```python\nfrom typing import List\ndef task_1(customers: List[int], val_1: int, runningCost: int) -> int:\n ans = -1\n mx = t = 0\n wait = 0\n i = 0\n while wait or i < len(customers):\n wait += customers[i] if i < len(customers) else 0\n up = wait if wait < 4 else 4\n wait -= up\n t += up * val_1 - runningCost\n i += 1\n if t > mx:\n mx = t\n ans = i\n python_result_1 = ans\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "56", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":92,\"native_task_name\":\"minOperationsMaxProfit:scalar\",\"output_value\":56}]"} {"id": "python/single_target_baseline/93/0", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 93, "target_native_task_name": "sortedSquares:list", "sample_idx": 0, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [54, -32, 99, 19, 9, -37, -92, -19, -40, 19]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n ans = []\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n a = list_1[i] * list_1[i]\n b = list_1[j] * list_1[j]\n if a > b:\n ans.append(a)\n i += 1\n else:\n ans.append(b)\n j -= 1\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[81,361,1369,8464,361,1600,361,9801,1024,2916]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":93,\"native_task_name\":\"sortedSquares:list\",\"output_value\":[81,361,1369,8464,361,1600,361,9801,1024,2916]}]"} {"id": "python/single_target_baseline/93/1", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 93, "target_native_task_name": "sortedSquares:list", "sample_idx": 1, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [69, -20, -48, 43, 16, -29, 40, 5, -39, -26]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n ans = []\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n a = list_1[i] * list_1[i]\n b = list_1[j] * list_1[j]\n if a > b:\n ans.append(a)\n i += 1\n else:\n ans.append(b)\n j -= 1\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[25,1600,841,256,1849,2304,400,1521,676,4761]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":93,\"native_task_name\":\"sortedSquares:list\",\"output_value\":[25,1600,841,256,1849,2304,400,1521,676,4761]}]"} {"id": "python/single_target_baseline/93/2", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 93, "target_native_task_name": "sortedSquares:list", "sample_idx": 2, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-55, -14, 72, 63, 33, 37, 67, 90, 19, -57]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n ans = []\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n a = list_1[i] * list_1[i]\n b = list_1[j] * list_1[j]\n if a > b:\n ans.append(a)\n i += 1\n else:\n ans.append(b)\n j -= 1\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[196,5184,3969,1089,1369,4489,8100,361,3025,3249]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":93,\"native_task_name\":\"sortedSquares:list\",\"output_value\":[196,5184,3969,1089,1369,4489,8100,361,3025,3249]}]"} {"id": "python/single_target_baseline/93/3", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 93, "target_native_task_name": "sortedSquares:list", "sample_idx": 3, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [81, 58, 70, 48, -63, 14, 60, 100, -35, 22]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n ans = []\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n a = list_1[i] * list_1[i]\n b = list_1[j] * list_1[j]\n if a > b:\n ans.append(a)\n i += 1\n else:\n ans.append(b)\n j -= 1\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[0,3600,196,1225,484,3969,2304,4900,3364,6561]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":93,\"native_task_name\":\"sortedSquares:list\",\"output_value\":[0,3600,196,1225,484,3969,2304,4900,3364,6561]}]"} {"id": "python/single_target_baseline/93/4", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 93, "target_native_task_name": "sortedSquares:list", "sample_idx": 4, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-85, 93, 52, 72, 33, 12, -42, 92, -30, -6]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n ans = []\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n a = list_1[i] * list_1[i]\n b = list_1[j] * list_1[j]\n if a > b:\n ans.append(a)\n i += 1\n else:\n ans.append(b)\n j -= 1\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[36,900,8464,1764,144,1089,5184,2704,8649,7225]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":93,\"native_task_name\":\"sortedSquares:list\",\"output_value\":[36,900,8464,1764,144,1089,5184,2704,8649,7225]}]"} {"id": "python/single_target_baseline/93/5", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 93, "target_native_task_name": "sortedSquares:list", "sample_idx": 5, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [14, 79, -79, 14, 26, 28, -72, 34, -21, -52]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n ans = []\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n a = list_1[i] * list_1[i]\n b = list_1[j] * list_1[j]\n if a > b:\n ans.append(a)\n i += 1\n else:\n ans.append(b)\n j -= 1\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[196,6241,6241,196,676,784,5184,1156,441,2704]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":93,\"native_task_name\":\"sortedSquares:list\",\"output_value\":[196,6241,6241,196,676,784,5184,1156,441,2704]}]"} {"id": "python/single_target_baseline/93/6", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 93, "target_native_task_name": "sortedSquares:list", "sample_idx": 6, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-2, 80, 75, 32, 9, 30, -82, 50, 65, 21]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n ans = []\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n a = list_1[i] * list_1[i]\n b = list_1[j] * list_1[j]\n if a > b:\n ans.append(a)\n i += 1\n else:\n ans.append(b)\n j -= 1\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[4,6400,5625,1024,81,900,6724,2500,4225,441]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":93,\"native_task_name\":\"sortedSquares:list\",\"output_value\":[4,6400,5625,1024,81,900,6724,2500,4225,441]}]"} {"id": "python/single_target_baseline/93/7", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 93, "target_native_task_name": "sortedSquares:list", "sample_idx": 7, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-73, -70, -40, 47, -53, 96, -80, 4, 56, -47]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n ans = []\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n a = list_1[i] * list_1[i]\n b = list_1[j] * list_1[j]\n if a > b:\n ans.append(a)\n i += 1\n else:\n ans.append(b)\n j -= 1\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[16,6400,9216,2809,2209,1600,3136,2209,4900,5329]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":93,\"native_task_name\":\"sortedSquares:list\",\"output_value\":[16,6400,9216,2809,2209,1600,3136,2209,4900,5329]}]"} {"id": "python/single_target_baseline/93/8", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 93, "target_native_task_name": "sortedSquares:list", "sample_idx": 8, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-62, -79, -51, -7, -78, 47, -32, -40, 66, -69]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n ans = []\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n a = list_1[i] * list_1[i]\n b = list_1[j] * list_1[j]\n if a > b:\n ans.append(a)\n i += 1\n else:\n ans.append(b)\n j -= 1\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[49,6084,2209,1024,1600,2601,6241,3844,4356,4761]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":93,\"native_task_name\":\"sortedSquares:list\",\"output_value\":[49,6084,2209,1024,1600,2601,6241,3844,4356,4761]}]"} {"id": "python/single_target_baseline/93/9", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 93, "target_native_task_name": "sortedSquares:list", "sample_idx": 9, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-4, 68, 78, -99, 73, -37, 10, -30, -47, 38]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n ans = []\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n a = list_1[i] * list_1[i]\n b = list_1[j] * list_1[j]\n if a > b:\n ans.append(a)\n i += 1\n else:\n ans.append(b)\n j -= 1\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[16,4624,6084,9801,5329,1369,100,900,2209,1444]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":93,\"native_task_name\":\"sortedSquares:list\",\"output_value\":[16,4624,6084,9801,5329,1369,100,900,2209,1444]}]"} {"id": "python/single_target_baseline/93/10", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 93, "target_native_task_name": "sortedSquares:list", "sample_idx": 10, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [97, -59, -59, -68, -38, -40, -3, 66, -59, 72]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n ans = []\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n a = list_1[i] * list_1[i]\n b = list_1[j] * list_1[j]\n if a > b:\n ans.append(a)\n i += 1\n else:\n ans.append(b)\n j -= 1\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[9,1600,1444,4624,3481,3481,4356,3481,5184,9409]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":93,\"native_task_name\":\"sortedSquares:list\",\"output_value\":[9,1600,1444,4624,3481,3481,4356,3481,5184,9409]}]"} {"id": "python/single_target_baseline/93/11", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 93, "target_native_task_name": "sortedSquares:list", "sample_idx": 11, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-33, -50, 57, 16, -67, -65, -97, 39, -59, 85]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n ans = []\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n a = list_1[i] * list_1[i]\n b = list_1[j] * list_1[j]\n if a > b:\n ans.append(a)\n i += 1\n else:\n ans.append(b)\n j -= 1\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[256,3249,2500,1089,4489,4225,9409,1521,3481,7225]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":93,\"native_task_name\":\"sortedSquares:list\",\"output_value\":[256,3249,2500,1089,4489,4225,9409,1521,3481,7225]}]"} {"id": "python/single_target_baseline/93/12", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 93, "target_native_task_name": "sortedSquares:list", "sample_idx": 12, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-44, -6, 53, -3, -40, 77, -47, -97, 89, -54]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n ans = []\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n a = list_1[i] * list_1[i]\n b = list_1[j] * list_1[j]\n if a > b:\n ans.append(a)\n i += 1\n else:\n ans.append(b)\n j -= 1\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[9,2809,36,1600,1936,5929,2209,9409,7921,2916]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":93,\"native_task_name\":\"sortedSquares:list\",\"output_value\":[9,2809,36,1600,1936,5929,2209,9409,7921,2916]}]"} {"id": "python/single_target_baseline/93/13", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 93, "target_native_task_name": "sortedSquares:list", "sample_idx": 13, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [0, 18, 77, -24, -35, -21, -27, 11, -65, -38]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n ans = []\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n a = list_1[i] * list_1[i]\n b = list_1[j] * list_1[j]\n if a > b:\n ans.append(a)\n i += 1\n else:\n ans.append(b)\n j -= 1\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[0,324,5929,576,1225,441,729,121,4225,1444]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":93,\"native_task_name\":\"sortedSquares:list\",\"output_value\":[0,324,5929,576,1225,441,729,121,4225,1444]}]"} {"id": "python/single_target_baseline/93/14", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 93, "target_native_task_name": "sortedSquares:list", "sample_idx": 14, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [-100, 5, 1, 57, 80, -50, 42, -100, -32, -24]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n ans = []\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n a = list_1[i] * list_1[i]\n b = list_1[j] * list_1[j]\n if a > b:\n ans.append(a)\n i += 1\n else:\n ans.append(b)\n j -= 1\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[0,25,1,3249,6400,2500,1764,0,1024,576]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":93,\"native_task_name\":\"sortedSquares:list\",\"output_value\":[0,25,1,3249,6400,2500,1764,0,1024,576]}]"} {"id": "python/single_target_baseline/93/15", "category": "python", "topology": "single_target_baseline", "target_node_id": "task_1", "target_native_task_id": 93, "target_native_task_name": "sortedSquares:list", "sample_idx": 15, "prompt": "Solve the following tasks. Output the result for each.\n\nDefine task_1_input = {\"result\": [2, -63, -3, -7, 89, -86, 8, 28, -12, -14]}.\nTask 1:\nLet list_1 be the result of preprocessing task_1_input[\"result\"] as follows - for every element, if it is a float, convert it to an integer by rounding ties away from zero (0.5 to 1, -0.5 to -1); then replace it with the remainder of its absolute value modulo 100 while preserving its original sign.\nIf list_1 has more than 10 elements, keep only the first 10 elements.\nTrace the execution of task_1.\n```python\nfrom typing import List\ndef task_1(list_1: List[int]) -> List[int]:\n ans = []\n (i, j) = (0, len(list_1) - 1)\n while i <= j:\n a = list_1[i] * list_1[i]\n b = list_1[j] * list_1[j]\n if a > b:\n ans.append(a)\n i += 1\n else:\n ans.append(b)\n j -= 1\n python_result_1 = ans[::-1]\n return python_result_1\n```\nLet python_result_1 be the value returned by task_1.\nOutput the result as task_1_out = {\"result\": python_result_1}, replacing python_result_1 with its calculated value.\n", "target_output_json": "[4,3969,9,49,7921,7396,64,784,144,196]", "node_outputs_json": "[{\"node_id\":\"task_1\",\"native_task_id\":93,\"native_task_name\":\"sortedSquares:list\",\"output_value\":[4,3969,9,49,7921,7396,64,784,144,196]}]"}