Pylance 在过去 3 分钟内崩溃了 5 次。Pylance 不会重新启动。有关详细信息，请参阅输出 #15688
Comments
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Thanks for the issue but your problem looks like an error in execution of notebook cells. Transferring to the jupyter extension. |
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Why was it transferred? It's because I don't know why it was transferred. So I don't know if the problem is specifically on the vscode side or on the balance side? |
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This was transfered from Pylance because the logs looked like a problem with jupyter cell execution. Jupyter cell execution is handled by the vscode-jupyter extension. Pylance is for providing completions and other intellisense, but doesn't ever execute any python code. |
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Additionally. Edit the code while the program is running. There is a high probability that Plance will crash |
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Environment data
Code Snippet
XXXRepro Steps
Expected behavior
no crashed
Actual behavior
now Pylance 已崩溃。是否要尝试使用 Node.js 可执行文件运行语言服务器? Client Pylance: connection to server is erroring.
Channel closed
Logs
Visual Studio Code (1.89.1, undefined, desktop)
Jupyter Extension Version: 2024.4.0.
Python Extension Version: 2024.6.0.
Pylance Extension Version: 2024.5.100.
Platform: win32 (x64).
Workspace folder \wsl.localhost\Ubuntu-22.04\home\xzpwsl2\my\work\kaggle_code\deepseek-math, Home = c:\Users\Admin
18:01:01.554 [info] Starting Kernel startUsingPythonInterpreter, .jvsc74a57bd0d9556678d02f556b8171da6f4234414674566ea60e98b9cfd43bc7620eeeef71.d:\my\env\python3.10.10\python.exe.d:\my\env\python3.10.10\python.exe.-m#ipykernel_launcher (Python Path: d:\my\env\python3.10.10\python.exe, Unknown, Python 3.10.10, 3.10.10) for '\wsl.localhost\Ubuntu-22.04\home\xzpwsl2\my\work\kaggle_code\deepseek-math\deepseek_do_math.ipynb' (disableUI=true)
18:01:01.703 [warn] Failed to get activated env vars for d:\my\env\python3.10.10\python.exe in 150ms
18:01:01.706 [info] Process Execution: d:\my\env\python3.10.10\python.exe -c "import site;print("USER_BASE_VALUE");print(site.USER_SITE);print("USER_BASE_VALUE");"
18:01:01.708 [warn] Failed to get activated env vars for d:\my\env\python3.10.10\python.exe in 107ms
18:01:01.754 [info] Process Execution: d:\my\env\python3.10.10\python.exe -m pip list
18:01:01.756 [info] Process Execution: d:\my\env\python3.10.10\python.exe -c "import ipykernel; print(ipykernel.version); print("5dc3a68c-e34e-4080-9c3e-2a532b2ccb4d"); print(ipykernel.file)"
18:01:01.758 [info] Process Execution: d:\my\env\python3.10.10\python.exe c:\Users~.vscode\extensions\ms-toolsai.jupyter-2024.4.0-win32-x64\pythonFiles\vscode_datascience_helpers\kernel_interrupt_daemon.py --ppid 12704
> cwd: ~.vscode\extensions\ms-toolsai.jupyter-2024.4.0-win32-x64\pythonFiles\vscode_datascience_helpers
18:01:01.983 [info] Process Execution: d:\my\env\python3.10.10\python.exe -m ipykernel_launcher --f=c:\Users~\AppData\Roaming\jupyter\runtime\kernel-v2-12704TuE0tWNEK8Yt.json
> cwd: \wsl.localhost\Ubuntu-22.04\home\xzpwsl2\my\work\kaggle_code\deepseek-math
18:01:03.134 [info] Process Execution: d:\my\env\python3.10.10\python.exe c:\Users~.vscode\extensions\ms-toolsai.jupyter-2024.4.0-win32-x64\pythonFiles\printJupyterDataDir.py
18:02:06.895 [info] Handle Execution of Cells 0,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63 for \wsl.localhost\Ubuntu-22.04\home\xzpwsl2\my\work\kaggle_code\deepseek-math\deepseek_do_math.ipynb
18:02:06.916 [info] Cell 0 completed in 0.01s (start: 1715421726906, end: 1715421726916)
18:02:09.064 [info] Cell 2 completed in 2.145s (start: 1715421726919, end: 1715421729064)
18:02:09.078 [info] Cell 3 completed in 0.01s (start: 1715421729068, end: 1715421729078)
18:02:09.093 [info] Cell 4 completed in 0.012s (start: 1715421729081, end: 1715421729093)
18:02:09.109 [info] Cell 5 completed in 0.013s (start: 1715421729096, end: 1715421729109)
18:02:09.125 [info] Cell 6 completed in 0.014s (start: 1715421729111, end: 1715421729125)
18:02:09.141 [info] Cell 7 completed in 0.011s (start: 1715421729130, end: 1715421729141)
18:02:09.142 [info] Cell 8 completed in 0s (start: undefined, end: undefined)
18:02:09.612 [info] Cell 9 completed in 0.467s (start: 1715421729145, end: 1715421729612)
18:02:09.643 [info] Cell 10 completed in 0.028s (start: 1715421729615, end: 1715421729643)
18:02:09.659 [info] Cell 11 completed in 0.013s (start: 1715421729646, end: 1715421729659)
18:02:09.675 [info] Cell 12 completed in 0.013s (start: 1715421729662, end: 1715421729675)
18:02:09.691 [info] Cell 13 completed in 0.014s (start: 1715421729677, end: 1715421729691)
18:03:26.020 [info] Cell 14 completed in 76.327s (start: 1715421729693, end: 1715421806020)
18:03:26.051 [info] Cell 15 completed in 0.01s (start: 1715421806041, end: 1715421806051)
18:03:26.052 [info] Cell 16 completed in 0s (start: undefined, end: undefined)
18:03:26.067 [info] Cell 17 completed in 0.006s (start: 1715421806061, end: 1715421806067)
18:03:26.082 [info] Cell 18 completed in 0.011s (start: 1715421806071, end: 1715421806082)
18:03:26.764 [info] Cell 19 completed in 0.678s (start: 1715421806086, end: 1715421806764)
18:03:26.780 [info] Cell 20 completed in 0.01s (start: 1715421806770, end: 1715421806780)
18:03:26.796 [info] Cell 21 completed in 0.013s (start: 1715421806783, end: 1715421806796)
18:03:27.243 [info] Cell 22 completed in 0.444s (start: 1715421806799, end: 1715421807243)
18:03:27.258 [info] Cell 23 completed in 0.009s (start: 1715421807248, end: 1715421807257)
18:03:27.272 [info] Cell 24 completed in 0.01s (start: 1715421807262, end: 1715421807272)
18:03:27.288 [info] Cell 25 completed in 0.011s (start: 1715421807277, end: 1715421807288)
18:03:27.305 [info] Cell 26 completed in 0.014s (start: 1715421807291, end: 1715421807305)
18:03:27.319 [info] Cell 27 completed in 0.009s (start: 1715421807310, end: 1715421807319)
18:03:27.335 [info] Cell 28 completed in 0.014s (start: 1715421807321, end: 1715421807335)
18:03:27.351 [info] Cell 29 completed in 0.013s (start: 1715421807338, end: 1715421807351)
18:03:27.367 [info] Cell 30 completed in 0.014s (start: 1715421807353, end: 1715421807367)
18:03:27.367 [info] Cell 31 completed in 0s (start: undefined, end: undefined)
18:03:27.383 [info] Cell 32 completed in 0.011s (start: 1715421807372, end: 1715421807383)
18:03:27.384 [info] Cell 33 completed in 0s (start: undefined, end: undefined)
18:03:27.399 [info] Cell 34 completed in 0.012s (start: 1715421807387, end: 1715421807399)
18:03:27.415 [info] Cell 35 completed in 0.013s (start: 1715421807402, end: 1715421807415)
18:03:27.415 [info] Cell 36 completed in 0s (start: undefined, end: undefined)
18:03:27.431 [info] Cell 37 completed in 0.012s (start: 1715421807419, end: 1715421807431)
18:03:27.447 [info] Cell 38 completed in 0.014s (start: 1715421807433, end: 1715421807447)
18:03:27.462 [info] Cell 39 completed in 0.011s (start: 1715421807451, end: 1715421807462)
18:03:27.478 [info] Cell 40 completed in 0.012s (start: 1715421807466, end: 1715421807478)
18:03:27.494 [info] Cell 41 completed in 0.013s (start: 1715421807481, end: 1715421807494)
18:03:27.509 [info] Cell 42 completed in 0.013s (start: 1715421807496, end: 1715421807509)
18:03:27.525 [info] Cell 43 completed in 0.014s (start: 1715421807511, end: 1715421807525)
18:03:27.525 [info] Cell 44 completed in 0s (start: undefined, end: undefined)
18:06:24.964 [info] Cell 45 completed in 177.433s (start: 1715421807531, end: 1715421984964)
18:06:24.996 [info] Cell 46 completed in 0.012s (start: 1715421984984, end: 1715421984996)
18:06:25.011 [info] Cell 47 completed in 0.011s (start: 1715421985000, end: 1715421985011)
18:38:30.490 [info] Cell 48 completed in 1925.471s (start: 1715421985018, end: 1715423910489)
18:38:30.520 [info] Cell 49 completed in 0.011s (start: 1715423910509, end: 1715423910520)
18:38:30.536 [info] Cell 50 completed in 0.012s (start: 1715423910523, end: 1715423910535)
18:38:30.552 [info] Cell 51 completed in 0.012s (start: 1715423910539, end: 1715423910551)
18:38:30.567 [info] Cell 52 completed in 0.012s (start: 1715423910555, end: 1715423910567)
18:38:30.583 [info] Cell 53 completed in 0.013s (start: 1715423910570, end: 1715423910583)
18:38:30.599 [info] Cell 54 completed in 0.011s (start: 1715423910588, end: 1715423910599)
18:38:30.614 [info] Cell 55 completed in 0.012s (start: 1715423910602, end: 1715423910614)
18:38:30.629 [info] Cell 56 completed in 0.012s (start: 1715423910617, end: 1715423910629)
18:38:30.630 [info] Cell 57 completed in 0s (start: undefined, end: undefined)
18:38:30.630 [info] Cell 58 completed in 0s (start: undefined, end: undefined)
18:38:30.631 [info] Cell 59 completed in 0s (start: undefined, end: undefined)
18:38:30.661 [info] Cell 60 completed in 0.025s (start: 1715423910635, end: 1715423910660)
18:38:30.677 [info] Cell 61 completed in 0.014s (start: 1715423910663, end: 1715423910677)
18:38:30.756 [info] Cell 62 completed in 0.077s (start: 1715423910679, end: 1715423910756)
18:38:30.757 [info] Cell 63 completed in 0s (start: undefined, end: undefined)
21:41:41.482 [info] Execution of code ms-toolsai.jupyter-1 completed in 24ms
22:36:07.050 [info] Execution of code ms-toolsai.jupyter-2 completed in 21ms
22:48:39.071 [info] Starting Kernel startUsingPythonInterpreter, .jvsc74a57bd0d9556678d02f556b8171da6f4234414674566ea60e98b9cfd43bc7620eeeef71.d:\my\env\python3.10.10\python.exe.d:\my\env\python3.10.10\python.exe.-m#ipykernel_launcher (Python Path: d:\my\env\python3.10.10\python.exe, Unknown, Python 3.10.10, 3.10.10) for '\wsl.localhost\Ubuntu-22.04\home\xzpwsl2\my\work\kaggle_code\deepseek-math\improved-code-interpretation.ipynb' (disableUI=true)
22:48:39.270 [warn] Failed to get activated env vars for d:\my\env\python3.10.10\python.exe in 198ms
22:48:39.275 [info] Process Execution: d:\my\env\python3.10.10\python.exe -m pip list
22:48:39.276 [warn] Failed to get activated env vars for d:\my\env\python3.10.10\python.exe in 189ms
22:48:39.280 [info] Process Execution: d:\my\env\python3.10.10\python.exe -c "import ipykernel; print(ipykernel.version); print("5dc3a68c-e34e-4080-9c3e-2a532b2ccb4d"); print(ipykernel.file)"
22:48:39.290 [info] Process Execution: d:\my\env\python3.10.10\python.exe -m ipykernel_launcher --f=c:\Users~\AppData\Roaming\jupyter\runtime\kernel-v2-12704Kkh070NAXz3R.json
> cwd: \wsl.localhost\Ubuntu-22.04\home\xzpwsl2\my\work\kaggle_code\deepseek-math
23:08:38.442 [info] Handle Execution of Cells 2 for \wsl.localhost\Ubuntu-22.04\home\xzpwsl2\my\work\kaggle_code\deepseek-math\deepseek_do_math.ipynb
23:08:38.452 [info] Cell 2 completed in 0.002s (start: 1715440118450, end: 1715440118452)
23:08:46.236 [info] Execution of code ms-toolsai.jupyter-3 completed in 38ms
23:08:48.403 [info] Execution of code ms-toolsai.jupyter-4 completed in 36ms
23:08:48.863 [info] Execution of code ms-toolsai.jupyter-5 completed in 25ms
23:08:48.904 [info] Execution of code ms-toolsai.jupyter-6 completed in 38ms
23:09:03.504 [info] Handle Execution of Cells 4 for \wsl.localhost\Ubuntu-22.04\home\xzpwsl2\my\work\kaggle_code\deepseek-math\deepseek_do_math.ipynb
23:09:05.823 [info] Cell 4 completed in 2.308s (start: 1715440143515, end: 1715440145823)
23:23:52.376 [info] Execution of code ms-toolsai.jupyter-7 completed in 18ms
23:23:54.199 [info] Execution of code ms-toolsai.jupyter-8 completed in 21ms
23:23:54.364 [info] Execution of code ms-toolsai.jupyter-9 completed in 43ms
23:23:55.065 [info] Execution of code ms-toolsai.jupyter-10 completed in 23ms
23:23:59.120 [info] Execution of code ms-toolsai.jupyter-11 completed in 26ms
23:24:04.951 [info] Execution of code ms-toolsai.jupyter-12 completed in 17ms
23:24:09.226 [info] Execution of code ms-toolsai.jupyter-13 completed in 41ms
23:24:31.228 [info] Execution of code ms-toolsai.jupyter-14 completed in 23ms
23:24:32.552 [info] Execution of code ms-toolsai.jupyter-15 completed in 25ms
23:25:13.015 [info] Execution of code ms-toolsai.jupyter-16 completed in 25ms
00:07:31.968 [info] Handle Execution of Cells 2,3,4,5,8,9,10,11,12,13,14,15,16,17,18,21,22,23,24,25,26,27,28,29 for \wsl.localhost\Ubuntu-22.04\home\xzpwsl2\my\work\kaggle_code\deepseek-math\updated-code-interpretation-ef73d6.ipynb
00:07:31.970 [info] Starting Kernel startUsingPythonInterpreter, .jvsc74a57bd0d9556678d02f556b8171da6f4234414674566ea60e98b9cfd43bc7620eeeef71.d:\my\env\python3.10.10\python.exe.d:\my\env\python3.10.10\python.exe.-m#ipykernel_launcher (Python Path: d:\my\env\python3.10.10\python.exe, Unknown, Python 3.10.10, 3.10.10) for '\wsl.localhost\Ubuntu-22.04\home\xzpwsl2\my\work\kaggle_code\deepseek-math\updated-code-interpretation-ef73d6.ipynb' (disableUI=false)
00:07:32.012 [warn] Failed to get activated env vars for d:\my\env\python3.10.10\python.exe in 31ms
00:07:32.015 [info] Process Execution: d:\my\env\python3.10.10\python.exe -c "import ipykernel; print(ipykernel.version); print("5dc3a68c-e34e-4080-9c3e-2a532b2ccb4d"); print(ipykernel.file)"
00:07:32.016 [warn] Failed to get activated env vars for d:\my\env\python3.10.10\python.exe in 37ms
00:07:32.018 [info] Process Execution: d:\my\env\python3.10.10\python.exe -m pip list
00:07:32.027 [info] Process Execution: d:\my\env\python3.10.10\python.exe -m ipykernel_launcher --f=c:\Users~\AppData\Roaming\jupyter\runtime\kernel-v2-12704HM84zg9D0Qdu.json
> cwd: \wsl.localhost\Ubuntu-22.04\home\xzpwsl2\my\work\kaggle_code\deepseek-math
00:07:33.057 [info] Cell 2 completed in 0.007s (start: 1715443653050, end: 1715443653057)
00:07:34.685 [info] Cell 3 completed in 1.626s (start: 1715443653059, end: 1715443654685)
00:07:35.000 [info] Cell 4 completed in 0.311s (start: 1715443654689, end: 1715443655000)
00:07:35.014 [info] Cell 5 completed in 0.011s (start: 1715443655003, end: 1715443655014)
00:07:35.030 [info] Cell 8 completed in 0.013s (start: 1715443655017, end: 1715443655030)
00:07:35.868 [info] Cell 9 completed in 0.836s (start: 1715443655032, end: 1715443655868)
00:07:35.884 [info] Cell 10 completed in 0.012s (start: 1715443655872, end: 1715443655884)
00:07:35.899 [info] Cell 11 completed in 0.013s (start: 1715443655886, end: 1715443655899)
00:07:36.340 [warn] Cell completed with errors [hd [Error]: Error tokenizing data. C error: Expected 3 fields in line 14, saw 19
ename: 'ParserError',
evalue: 'Error tokenizing data. C error: Expected 3 fields in line 14, saw 19\n',
traceback: [
'\x1B[1;31m---------------------------------------------------------------------------\x1B[0m',
'\x1B[1;31mParserError\x1B[0m Traceback (most recent call last)',
'Cell \x1B[1;32mIn[9], line 68\x1B[0m\n' +
'\x1B[0;32m 64\x1B[0m \x1B[38;5;28mself\x1B[39m\x1B[38;5;241m.\x1B[39mset_sub_answer(submitter[\x1B[38;5;124m"\x1B[39m\x1B[38;5;124mid\x1B[39m\x1B[38;5;124m"\x1B[39m],submitter[\x1B[38;5;124m"\x1B[39m\x1B[38;5;124manswer\x1B[39m\x1B[38;5;124m"\x1B[39m])\n' +
'\x1B[0;32m 67\x1B[0m PRIVATE \x1B[38;5;241m=\x1B[39m \x1B[38;5;28;01mFalse\x1B[39;00m\n' +
"\x1B[1;32m---> 68\x1B[0m env \x1B[38;5;241m=\x1B[39m \x1B[43mEnvironment\x1B[49m\x1B[43m(\x1B[49m\x1B[43mpath_pre\x1B[49m\x1B[38;5;241;43m+\x1B[39;49m\x1B[38;5;124;43m'\x1B[39;49m\x1B[38;5;124;43m/kaggle/input/ai-mathematical-olympiad-prize/train.csv\x1B[39;49m\x1B[38;5;124;43m'\x1B[39;49m\x1B[43m)\x1B[49m\n" +
...
3:01.727 [info] Cell 29 completed in 0s (start: undefined, end: undefined)
02:03:01.727 [info] Cell 30 completed in 0s (start: undefined, end: undefined)
02:03:01.727 [info] Cell 31 completed in 0s (start: undefined, end: undefined)
02:03:01.727 [info] Cell 32 completed in 0s (start: undefined, end: undefined)
02:04:06.605 [info] Handle Execution of Cells 22 for \wsl.localhost\Ubuntu-22.04\home\xzpwsl2\my\work\kaggle_code\deepseek-math\updated-code-interpretation-ef73d6.ipynb
02:04:06.628 [info] Cell 22 completed in 0.011s (start: 1715450646617, end: 1715450646628)
02:04:49.966 [info] Handle Execution of Cells 22 for \wsl.localhost\Ubuntu-22.04\home\xzpwsl2\my\work\kaggle_code\deepseek-math\updated-code-interpretation-ef73d6.ipynb
02:04:49.992 [info] Cell 22 completed in 0.02s (start: 1715450689971, end: 1715450689991)
02:04:52.656 [info] Handle Execution of Cells 23 for \wsl.localhost\Ubuntu-22.04\home\xzpwsl2\my\work\kaggle_code\deepseek-math\updated-code-interpretation-ef73d6.ipynb
02:04:52.685 [info] Cell 23 completed in 0.02s (start: 1715450692665, end: 1715450692685)
02:05:45.492 [info] Execution of code ms-toolsai.jupyter-37 completed in 41ms
02:05:47.334 [info] Execution of code ms-toolsai.jupyter-38 completed in 19ms
02:05:50.162 [info] Execution of code ms-toolsai.jupyter-39 completed in 22ms
02:05:50.189 [info] Execution of code ms-toolsai.jupyter-40 completed in 21ms
02:06:07.245 [info] Execution of code ms-toolsai.jupyter-41 completed in 19ms
02:06:14.929 [info] Handle Execution of Cells 22 for \wsl.localhost\Ubuntu-22.04\home\xzpwsl2\my\work\kaggle_code\deepseek-math\updated-code-interpretation-ef73d6.ipynb
02:06:14.949 [info] Cell 22 completed in 0.011s (start: 1715450774938, end: 1715450774949)
02:07:33.053 [info] Handle Execution of Cells 22 for \wsl.localhost\Ubuntu-22.04\home\xzpwsl2\my\work\kaggle_code\deepseek-math\updated-code-interpretation-ef73d6.ipynb
02:07:33.082 [info] Cell 22 completed in 0.021s (start: 1715450853061, end: 1715450853082)
02:07:39.210 [info] Handle Execution of Cells 23,24,25,26,27,28,29,30,31,32 for \wsl.localhost\Ubuntu-22.04\home\xzpwsl2\my\work\kaggle_code\deepseek-math\updated-code-interpretation-ef73d6.ipynb
02:07:39.278 [warn] Cell completed with errors [hd [Error]: 'list' object has no attribute 'get'
at r.execute (c:\Users~.vscode\extensions\ms-toolsai.jupyter-2024.4.0-win32-x64\dist\extension.node.js:311:4943)] {
ename: 'AttributeError',
evalue: "'list' object has no attribute 'get'",
traceback: [
'\x1B[1;31m---------------------------------------------------------------------------\x1B[0m',
'\x1B[1;31mAttributeError\x1B[0m Traceback (most recent call last)',
'Cell \x1B[1;32mIn[54], line 55\x1B[0m\n' +
'\x1B[0;32m 53\x1B[0m outputs \x1B[38;5;241m=\x1B[39m total_outputs\x1B[38;5;241m.\x1B[39mget(i,[])\n' +
'\x1B[0;32m 54\x1B[0m text_answers, code_answers \x1B[38;5;241m=\x1B[39m question_type_counts\x1B[38;5;241m.\x1B[39mget(i,starting_counts)\n' +
'\x1B[1;32m---> 55\x1B[0m results \x1B[38;5;241m=\x1B[39m \x1B[43mtotal_results\x1B[49m\x1B[38;5;241;43m.\x1B[39;49m\x1B[43mget\x1B[49m(i,[])\n' +
'\x1B[0;32m 56\x1B[0m answers \x1B[38;5;241m=\x1B[39m total_answers\x1B[38;5;241m.\x1B[39mget(i,[])\n' +
'\x1B[0;32m 58\x1B[0m \x1B[38;5;28;01mfor\x1B[39;00m _ \x1B[38;5;129;01min\x1B[39;00m \x1B[38;5;28mrange\x1B[39m(\x1B[38;5;241m5\x1B[39m):\n',
"\x1B[1;31mAttributeError\x1B[0m: 'list' object has no attribute 'get'"
]
}
02:07:39.278 [info] Cell 23 completed in 0.047s (start: 1715450859231, end: 1715450859278)
02:07:39.279 [warn] Cancel all remaining cells due to cancellation or failure in execution
02:07:39.279 [info] Cell 24 completed in 0s (start: undefined, end: undefined)
02:07:39.279 [info] Cell 25 completed in 0s (start: undefined, end: undefined)
02:07:39.279 [info] Cell 26 completed in 0s (start: undefined, end: undefined)
02:07:39.279 [info] Cell 27 completed in 0s (start: undefined, end: undefined)
02:07:39.279 [info] Cell 28 completed in 0s (start: undefined, end: undefined)
02:07:39.279 [info] Cell 29 completed in 0s (start: undefined, end: undefined)
02:07:39.279 [info] Cell 30 completed in 0s (start: undefined, end: undefined)
02:07:39.279 [info] Cell 31 completed in 0s (start: undefined, end: undefined)
02:07:39.279 [info] Cell 32 completed in 0s (start: undefined, end: undefined)
02:09:35.956 [info] Execution of code ms-toolsai.jupyter-42 completed in 23ms
02:09:52.171 [info] Execution of code ms-toolsai.jupyter-43 completed in 41ms
02:09:52.373 [info] Execution of code ms-toolsai.jupyter-44 completed in 22ms
02:09:53.212 [info] Execution of code ms-toolsai.jupyter-45 completed in 46ms
02:09:55.445 [info] Execution of code ms-toolsai.jupyter-46 completed in 18ms
02:10:06.364 [info] Handle Execution of Cells 22 for \wsl.localhost\Ubuntu-22.04\home\xzpwsl2\my\work\kaggle_code\deepseek-math\updated-code-interpretation-ef73d6.ipynb
02:10:06.384 [info] Cell 22 completed in 0.015s (start: 1715451006369, end: 1715451006384)
02:10:09.037 [info] Handle Execution of Cells 23,24,25,26,27,28,29,30,31,32 for \wsl.localhost\Ubuntu-22.04\home\xzpwsl2\my\work\kaggle_code\deepseek-math\updated-code-interpretation-ef73d6.ipynb
02:20:34.781 [info] Cell 23 completed in 625.727s (start: 1715451009054, end: 1715451634781)
02:20:34.828 [info] Cell 24 completed in 0.017s (start: 1715451634811, end: 1715451634828)
02:20:34.845 [info] Cell 25 completed in 0.013s (start: 1715451634832, end: 1715451634845)
02:20:34.860 [info] Cell 26 completed in 0.01s (start: 1715451634850, end: 1715451634860)
02:20:35.132 [warn] Cell completed with errors [hd [Error]: 17
at r.execute (c:\Users~.vscode\extensions\ms-toolsai.jupyter-2024.4.0-win32-x64\dist\extension.node.js:311:4943)] {
ename: 'KeyError',
evalue: '17',
traceback: [
'\x1B[1;31m---------------------------------------------------------------------------\x1B[0m',
'\x1B[1;31mValueError\x1B[0m Traceback (most recent call last)',
'File \x1B[1;32md:\my\env\python3.10.10\lib\site-packages\pandas\core\indexes\range.py:391\x1B[0m, in \x1B[0;36mRangeIndex.get_loc\x1B[1;34m(self, key, method, tolerance)\x1B[0m\n' +
'\x1B[0;32m 390\x1B[0m \x1B[38;5;28;01mtry\x1B[39;00m:\n' +
'\x1B[1;32m--> 391\x1B[0m \x1B[38;5;28;01mreturn\x1B[39;00m \x1B[38;5;28;43mself\x1B[39;49m\x1B[38;5;241;43m.\x1B[39;49m\x1B[43m_range\x1B[49m\x1B[38;5;241;43m.\x1B[39;49m\x1B[43mindex\x1B[49m\x1B[43m(\x1B[49m\x1B[43mnew_key\x1B[49m\x1B[43m)\x1B[49m\n' +
'\x1B[0;32m 392\x1B[0m \x1B[38;5;28;01mexcept\x1B[39;00m \x1B[38;5;167;01mValueError\x1B[39;00m \x1B[38;5;28;01mas\x1B[39;00m err:\n',
'\x1B[1;31mValueError\x1B[0m: 17 is not in range',
'\nThe above exception was the direct cause of the following exception:\n',
'\x1B[1;31mKeyError\x1B[0m Traceback (most recent call last)',
'Cell \x1B[1;32mIn[60], line 16\x1B[0m\n' +
'\x1B[0;32m 14\x1B[0m true_answer \x1B[38;5;241m=\x1B[39m \x1B[38;5;124m"\x1B[39m\x1B[38;5;124m"\x1B[39m\n' +
'\x1B[0;32m 15\x1B[0m \x1B[38;5;66;03m# if PRIVATE_STATUS == "train":\x1B[39;00m\n' +
"\x1B[1;32m---> 16\x1B[0m true_answer \x1B[38;5;241m=\x1B[39m \x1B[43mdf\x1B[49m\x1B[43m[\x1B[49m\x1B[38;5;124;43m'\x1B[39;49m\x1B[38;5;124;43manswer\x1B[39;49m\x1B[38;5;124;43m'\x1B[39;49m\x1B[43m]\x1B[49m\x1B[38;5;241;43m.\x1B[39;49m\x1B[43mloc\x1B[49m\x1B[43m[\x1B[49m\x1B[43mi\x1B[49m\x1B[43m]\x1B[49m\n" +
'\x1B[0;32m 17\x1B[0m \x1B[38;5;28;01mif\x1B[39;00m true_answer\x1B[38;5;241m==\x1B[39mfinal_answers[i]:\n' +
'\x1B[0;32m 18\x1B[0m true_count\x1B[38;5;241m+\x1B[39m\x1B[38;5;241m=\x1B[39m\x1B[38;5;241m1\x1B[39m\n',
'File \x1B[1;32md:\my\env\python3.10.10\lib\site-packages\pandas\core\indexing.py:1073\x1B[0m, in \x1B[0;36m_LocationIndexer.getitem\x1B[1;34m(self, key)\x1B[0m\n' +
'\x1B[0;32m 1070\x1B[0m axis \x1B[38;5;241m=\x1B[39m \x1B[38;5;28mself\x1B[39m\x1B[38;5;241m.\x1B[39maxis \x1B[38;5;129;01mor\x1B[39;00m \x1B[38;5;241m0\x1B[39m\n' +
'\x1B[0;32m 1072\x1B[0m maybe_callable \x1B[38;5;241m=\x1B[39m com\x1B[38;5;241m.\x1B[39mapply_if_callable(key, \x1B[38;5;28mself\x1B[39m\x1B[38;5;241m.\x1B[39mobj)\n' +
'\x1B[1;32m-> 1073\x1B[0m \x1B[38;5;28;01mreturn\x1B[39;00m \x1B[38;5;28;43mself\x1B[39;49m\x1B[38;5;241;43m.\x1B[39;49m\x1B[43m_getitem_axis\x1B[49m\x1B[43m(\x1B[49m\x1B[43mmaybe_callable\x1B[49m\x1B[43m,\x1B[49m\x1B[43m \x1B[49m\x1B[43maxis\x1B[49m\x1B[38;5;241;43m=\x1B[39;49m\x1B[43maxis\x1B[49m\x1B[43m)\x1B[49m\n',
'File \x1B[1;32md:\my\env\python3.10.10\lib\site-packages\pandas\core\indexing.py:1312\x1B[0m, in \x1B[0;36m_LocIndexer._getitem_axis\x1B[1;34m(self, key, axis)\x1B[0m\n' +
'\x1B[0;32m 1310\x1B[0m \x1B[38;5;66;03m# fall thru to straight lookup\x1B[39;00m\n' +
'\x1B[0;32m 1311\x1B[0m \x1B[38;5;28mself\x1B[39m\x1B[38;5;241m.\x1B[39m_validate_key(key, axis)\n' +
'\x1B[1;32m-> 1312\x1B[0m \x1B[38;5;28;01mreturn\x1B[39;00m \x1B[38;5;28;43mself\x1B[39;49m\x1B[38;5;241;43m.\x1B[39;49m\x1B[43m_get_label\x1B[49m\x1B[43m(\x1B[49m\x1B[43mkey\x1B[49m\x1B[43m,\x1B[49m\x1B[43m \x1B[49m\x1B[43maxis\x1B[49m\x1B[38;5;241;43m=\x1B[39;49m\x1B[43maxis\x1B[49m\x1B[43m)\x1B[49m\n',
'File \x1B[1;32md:\my\env\python3.10.10\lib\site-packages\pandas\core\indexing.py:1260\x1B[0m, in \x1B[0;36m_LocIndexer.get_label\x1B[1;34m(self, label, axis)\x1B[0m\n' +
'\x1B[0;32m 1258\x1B[0m \x1B[38;5;28;01mdef\x1B[39;00m \x1B[38;5;21m_get_label\x1B[39m(\x1B[38;5;28mself\x1B[39m, label, axis: \x1B[38;5;28mint\x1B[39m):\n' +
'\x1B[0;32m 1259\x1B[0m \x1B[38;5;66;03m# GH#5567 this will fail if the label is not present in the axis.\x1B[39;00m\n' +
'\x1B[1;32m-> 1260\x1B[0m \x1B[38;5;28;01mreturn\x1B[39;00m \x1B[38;5;28;43mself\x1B[39;49m\x1B[38;5;241;43m.\x1B[39;49m\x1B[43mobj\x1B[49m\x1B[38;5;241;43m.\x1B[39;49m\x1B[43mxs\x1B[49m\x1B[43m(\x1B[49m\x1B[43mlabel\x1B[49m\x1B[43m,\x1B[49m\x1B[43m \x1B[49m\x1B[43maxis\x1B[49m\x1B[38;5;241;43m=\x1B[39;49m\x1B[43maxis\x1B[49m\x1B[43m)\x1B[49m\n',
'File \x1B[1;32md:\my\env\python3.10.10\lib\site-packages\pandas\core\generic.py:4056\x1B[0m, in \x1B[0;36mNDFrame.xs\x1B[1;34m(self, key, axis, level, drop_level)\x1B[0m\n' +
'\x1B[0;32m 4054\x1B[0m new_index \x1B[38;5;241m=\x1B[39m index[loc]\n' +
'\x1B[0;32m 4055\x1B[0m \x1B[38;5;28;01melse\x1B[39;00m:\n' +
'\x1B[1;32m-> 4056\x1B[0m loc \x1B[38;5;241m=\x1B[39m \x1B[43mindex\x1B[49m\x1B[38;5;241;43m.\x1B[39;49m\x1B[43mget_loc\x1B[49m\x1B[43m(\x1B[49m\x1B[43mkey\x1B[49m\x1B[43m)\x1B[49m\n' +
'\x1B[0;32m 4058\x1B[0m \x1B[38;5;28;01mif\x1B[39;00m \x1B[38;5;28misinstance\x1B[39m(loc, np\x1B[38;5;241m.\x1B[39mndarray):\n' +
'\x1B[0;32m 4059\x1B[0m \x1B[38;5;28;01mif\x1B[39;00m loc\x1B[38;5;241m.\x1B[39mdtype \x1B[38;5;241m==\x1B[39m np\x1B[38;5;241m.\x1B[39mbool:\n',
'File \x1B[1;32md:\my\env\python3.10.10\lib\site-packages\pandas\core\indexes\range.py:393\x1B[0m, in \x1B[0;36mRangeIndex.get_loc\x1B[1;34m(self, key, method, tolerance)\x1B[0m\n' +
'\x1B[0;32m 391\x1B[0m \x1B[38;5;28;01mreturn\x1B[39;00m \x1B[38;5;28mself\x1B[39m\x1B[38;5;241m.\x1B[39m_range\x1B[38;5;241m.\x1B[39mindex(new_key)\n' +
'\x1B[0;32m 392\x1B[0m \x1B[38;5;28;01mexcept\x1B[39;00m \x1B[38;5;167;01mValueError\x1B[39;00m \x1B[38;5;28;01mas\x1B[39;00m err:\n' +
'\x1B[1;32m--> 393\x1B[0m \x1B[38;5;28;01mraise\x1B[39;00m \x1B[38;5;167;01mKeyError\x1B[39;00m(key) \x1B[38;5;28;01mfrom\x1B[39;00m \x1B[38;5;21;01merr\x1B[39;00m\n' +
'\x1B[0;32m 394\x1B[0m \x1B[38;5;28mself\x1B[39m\x1B[38;5;241m.\x1B[39m_check_indexing_error(key)\n' +
'\x1B[0;32m 395\x1B[0m \x1B[38;5;28;01mraise\x1B[39;00m \x1B[38;5;167;01mKeyError\x1B[39;00m(key)\n',
'\x1B[1;31mKeyError\x1B[0m: 17'
]
}
02:20:35.132 [info] Cell 27 completed in 0.247s (start: 1715451634885, end: 1715451635132)
02:20:35.133 [warn] Cancel all remaining cells due to cancellation or failure in execution
02:20:35.133 [info] Cell 28 completed in 0s (start: undefined, end: undefined)
02:20:35.133 [info] Cell 29 completed in 0s (start: undefined, end: undefined)
02:20:35.133 [info] Cell 30 completed in 0s (start: undefined, end: undefined)
02:20:35.133 [info] Cell 31 completed in 0s (start: undefined, end: undefined)
02:20:35.134 [info] Cell 32 completed in 0s (start: undefined, end: undefined)
02:27:45.648 [info] Handle Execution of Cells 22 for \wsl.localhost\Ubuntu-22.04\home\xzpwsl2\my\work\kaggle_code\deepseek-math\updated-code-interpretation-ef73d6.ipynb
02:27:45.671 [info] Cell 22 completed in 0.015s (start: 1715452065656, end: 1715452065671)
02:27:48.338 [info] Handle Execution of Cells 23,24,25,26,27,28,29,30,31,32 for \wsl.localhost\Ubuntu-22.04\home\xzpwsl2\my\work\kaggle_code\deepseek-math\updated-code-interpretation-ef73d6.ipynb
02:40:36.154 [info] Cell 23 completed in 767.804s (start: 1715452068349, end: 1715452836153)
02:40:36.201 [info] Cell 24 completed in 0.013s (start: 1715452836187, end: 1715452836200)
02:40:36.216 [info] Cell 25 completed in 0.012s (start: 1715452836204, end: 1715452836216)
02:40:36.232 [info] Cell 26 completed in 0.013s (start: 1715452836219, end: 1715452836232)
02:40:36.248 [info] Cell 27 completed in 0.012s (start: 1715452836236, end: 1715452836248)
02:40:36.295 [warn] Cell completed with errors [hd [Error]: 9
at r.execute (c:\Users~.vscode\extensions\ms-toolsai.jupyter-2024.4.0-win32-x64\dist\extension.node.js:311:4943)] {
ename: 'KeyError',
evalue: '9',
traceback: [
'\x1B[1;31m---------------------------------------------------------------------------\x1B[0m',
'\x1B[1;31mKeyError\x1B[0m Traceback (most recent call last)',
'Cell \x1B[1;32mIn[67], line 4\x1B[0m\n' +
'\x1B[0;32m 1\x1B[0m \x1B[38;5;28;01mif\x1B[39;00m \x1B[38;5;129;01mnot\x1B[39;00m PRIVATE:\n' +
"\x1B[0;32m 2\x1B[0m \x1B[38;5;66;03m# df = pd.read_csv(path_pre+'/kaggle/input/ai-mathematical-olympiad-prize/train.csv')\x1B[39;00m\n" +
"\x1B[0;32m 3\x1B[0m \x1B[38;5;66;03m# df['model_answer'] = [best_stats[ii][0] for ii in range(len(df))]\x1B[39;00m\n" +
"\x1B[1;32m----> 4\x1B[0m df[\x1B[38;5;124m'\x1B[39m\x1B[38;5;124mmodel_answer\x1B[39m\x1B[38;5;124m'\x1B[39m] \x1B[38;5;241m=\x1B[39m [env\x1B[38;5;241m.\x1B[39mget_sub_answer(ii) \x1B[38;5;28;01mfor\x1B[39;00m ii \x1B[38;5;129;01min\x1B[39;00m \x1B[38;5;28mrange\x1B[39m(\x1B[38;5;28mlen\x1B[39m(df))]\n" +
"\x1B[0;32m 6\x1B[0m \x1B[38;5;66;03m# df['answer'].loc\x1B[39;00m\n" +
'\x1B[0;32m 7\x1B[0m \x1B[38;5;66;03m# [best_stats[ii][0] for ii in range(len(df))]\x1B[39;00m\n' +
"\x1B[0;32m 8\x1B[0m df[\x1B[38;5;124m'\x1B[39m\x1B[38;5;124mmatch\x1B[39m\x1B[38;5;124m'\x1B[39m] \x1B[38;5;241m=\x1B[39m df\x1B[38;5;241m.\x1B[39manswer \x1B[38;5;241m==\x1B[39m df\x1B[38;5;241m.\x1B[39mmodel_answer\n",
'Cell \x1B[1;32mIn[67], line 4\x1B[0m, in \x1B[0;36m\x1B[1;34m(.0)\x1B[0m\n' +
'\x1B[0;32m 1\x1B[0m \x1B[38;5;28;01mif\x1B[39;00m \x1B[38;5;129;01mnot\x1B[39;00m PRIVATE:\n' +
"\x1B[0;32m 2\x1B[0m \x1B[38;5;66;03m# df = pd.read_csv(path_pre+'/kaggle/input/ai-mathematical-olympiad-prize/train.csv')\x1B[39;00m\n" +
"\x1B[0;32m 3\x1B[0m \x1B[38;5;66;03m# df['model_answer'] = [best_stats[ii][0] for ii in range(len(df))]\x1B[39;00m\n" +
"\x1B[1;32m----> 4\x1B[0m df[\x1B[38;5;124m'\x1B[39m\x1B[38;5;124mmodel_answer\x1B[39m\x1B[38;5;124m'\x1B[39m] \x1B[38;5;241m=\x1B[39m [\x1B[43menv\x1B[49m\x1B[38;5;241;43m.\x1B[39;49m\x1B[43mget_sub_answer\x1B[49m\x1B[43m(\x1B[49m\x1B[43mii\x1B[49m\x1B[43m)\x1B[49m \x1B[38;5;28;01mfor\x1B[39;00m ii \x1B[38;5;129;01min\x1B[39;00m \x1B[38;5;28mrange\x1B[39m(\x1B[38;5;28mlen\x1B[39m(df))]\n" +
"\x1B[0;32m 6\x1B[0m \x1B[38;5;66;03m# df['answer'].loc\x1B[39;00m\n" +
'\x1B[0;32m 7\x1B[0m \x1B[38;5;66;03m# [best_stats[ii][0] for ii in range(len(df))]\x1B[39;00m\n' +
"\x1B[0;32m 8\x1B[0m df[\x1B[38;5;124m'\x1B[39m\x1B[38;5;124mmatch\x1B[39m\x1B[38;5;124m'\x1B[39m] \x1B[38;5;241m=\x1B[39m df\x1B[38;5;241m.\x1B[39manswer \x1B[38;5;241m==\x1B[39m df\x1B[38;5;241m.\x1B[39mmodel_answer\n",
'Cell \x1B[1;32mIn[9], line 43\x1B[0m, in \x1B[0;36mEnvironment.get_sub_answer\x1B[1;34m(self, id)\x1B[0m\n' +
'\x1B[0;32m 42\x1B[0m \x1B[38;5;28;01mdef\x1B[39;00m \x1B[38;5;21mget_sub_answer\x1B[39m(\x1B[38;5;28mself\x1B[39m,\x1B[38;5;28mid\x1B[39m):\n' +
'\x1B[1;32m---> 43\x1B[0m \x1B[38;5;28;01mreturn\x1B[39;00m \x1B[38;5;28;43mself\x1B[39;49m\x1B[38;5;241;43m.\x1B[39;49m\x1B[43msub_answers\x1B[49m\x1B[43m[\x1B[49m\x1B[38;5;28;43mid\x1B[39;49m\x1B[43m]\x1B[49m\n',
'\x1B[1;31mKeyError\x1B[0m: 9'
]
}
02:40:36.295 [info] Cell 28 completed in 0.039s (start: 1715452836256, end: 1715452836295)
02:40:36.296 [warn] Cancel all remaining cells due to cancellation or failure in execution
02:40:36.296 [info] Cell 29 completed in 0s (start: undefined, end: undefined)
02:40:36.296 [info] Cell 30 completed in 0s (start: undefined, end: undefined)
02:40:36.296 [info] Cell 31 completed in 0s (start: undefined, end: undefined)
02:40:36.296 [info] Cell 32 completed in 0s (start: undefined, end: undefined)
02:42:01.538 [info] Execution of code ms-toolsai.jupyter-47 completed in 24ms
02:42:05.177 [info] Execution of code ms-toolsai.jupyter-48 completed in 26ms
02:42:07.438 [info] Execution of code ms-toolsai.jupyter-49 completed in 41ms
02:42:09.080 [info] Execution of code ms-toolsai.jupyter-50 completed in 39ms
02:42:09.120 [info] Execution of code ms-toolsai.jupyter-51 completed in 36ms
02:42:09.842 [info] Execution of code ms-toolsai.jupyter-52 completed in 33ms
02:42:10.156 [info] Execution of code ms-toolsai.jupyter-53 completed in 23ms
02:42:10.534 [info] Execution of code ms-toolsai.jupyter-54 completed in 21ms
02:42:15.215 [info] Execution of code ms-toolsai.jupyter-55 completed in 42ms
The text was updated successfully, but these errors were encountered: