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input and print logical error

Open xiezhipeng-git opened this issue 1 year ago • 14 comments

Does this issue occur when all extensions are disabled?: Yes/No

  • VS Code Version: 2024.4.1
def test_input():
    while True:
        user_input = input("You: ")
        print(user_input)
        if user_input.lower() == "quit" or user_input.lower() == "q":
            print("Goodbye!")
            break
test_input()

in wsl2 vscode notbook

  • OS Version: win11 and wsl2 Steps to Reproduce:
  1. in .ipynb file run test_input()
  2. input 1,2,3,4,5,6 one times one number
  3. it show result print(user_input) sometimes 1number is true.But some times zero or two.It is error

xiezhipeng-git avatar Apr 19 '24 17:04 xiezhipeng-git

Please could you enable logging as follows:

  • Open settings & go into Jupyter->Logging
  • Change the value to verbose
  • Reload VS Code,
  • Attempt to repro the issue & then copy the output from the Jupyter output panel.

DonJayamanne avatar Apr 24 '24 02:04 DonJayamanne

Show Logs 

Visual Studio Code (1.88.1, undefined, desktop)
Jupyter Extension Version: 2024.3.1.
Python Extension Version: 2024.4.1.
Pylance Extension Version: 2024.4.105.
Platform: win32 (x64).
Workspace folder d:\my\work\test\python_test, Home = c:\Users\Admin
11:43:03.628 [debug] Start refreshing Kernel Picker (1714448583628)
11:43:03.637 [debug] Search for KernelSpecs in Interpreter d:\my\env\python3.10.10\python.exe
11:43:03.638 [debug] Get Custom Env Variables, Class name = Jm, completed in 10ms, has a truthy return value, Arg 1: undefined, Arg 2: "RunPythonCode"
11:43:03.638 [debug] Jupyter Paths kernels: 
11:43:03.638 [debug] Kernel Spec Root Paths, ~\AppData\Roaming\jupyter\kernels, c:\ProgramData\jupyter\kernels
11:43:03.651 [debug] No controller, hence notebook communications cannot be initialized for editor d:\my\work\test\python_test\encode.ipynb
11:43:03.651 [debug] Start refreshing Interpreter Kernel Picker
11:43:03.730 [debug] KernelProvider switched kernel to id = .jvsc74a57bd0d9556678d02f556b8171da6f4234414674566ea60e98b9cfd43bc7620eeeef71.d:\my\env\python3.10.10\python.exe.d:\my\env\python3.10.10\python.exe.-m#ipykernel_launcher
11:43:03.730 [debug] start the kernel, options.disableUI=true for d:\my\work\test\python_test\encode.ipynb
11:43:03.735 [debug] Registering commtarget jupyter.widget
11:43:03.735 [debug] Controller selection change completed
11:43:03.737 [debug] Get Custom Env Variables, Class name = Jm, completed in 0ms, has a truthy return value, Arg 1: "/d:/my/work/test/python_test", Arg 2: "RunPythonCode"
11:43:03.737 [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 'd:\my\work\test\python_test\encode.ipynb' (disableUI=true)
11:43:03.738 [debug] Creating raw notebook for resource 'd:\my\work\test\python_test\encode.ipynb'
11:43:03.753 [debug] Get Custom Env Variables, Class name = Jm, completed in 0ms, has a truthy return value, Arg 1: "/d:/my/work/test/python_test/encode.ipynb", Arg 2: "RunPythonCode"
11:43:03.851 [debug] Launching kernel .jvsc74a57bd0d9556678d02f556b8171da6f4234414674566ea60e98b9cfd43bc7620eeeef71.d:\my\env\python3.10.10\python.exe.d:\my\env\python3.10.10\python.exe.-m#ipykernel_launcher for d:\my\work\test\python_test\encode.ipynb in d:\my\work\test\python_test with ports 9001, 9000, 9004, 9002, 9003
11:43:03.854 [warn] Failed to get activated env vars for d:\my\env\python3.10.10\python.exe in 116ms
11:43:03.854 [debug] Create ProcessService, Class name = qm (started execution), Arg 1: undefined
11:43:03.855 [warn] Failed to get activated env vars for d:\my\env\python3.10.10\python.exe in 102ms
11:43:03.856 [debug] Get Custom Env Variables, Class name = Jm, completed in 2ms, has a truthy return value, Arg 1: undefined, Arg 2: "RunNonPythonCode", Arg 3: undefined
11:43:03.856 [debug] Create ProcessService, Class name = qm, completed in 2ms, has a truthy return value, Arg 1: undefined
11:43:03.861 [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");"
11:43:03.863 [debug] Conda file is conda
11:43:03.864 [debug] Refreshed Environments
11:43:03.896 [debug] USER_SITE for d:\my\env\python3.10.10\python.exe is ~\AppData\Roaming\Python\Python310\Scripts
11:43:03.896 [debug] Prepend PATH with user site path for d:\my\env\python3.10.10\python.exe, user site ~\AppData\Roaming\Python\Python310\Scripts
11:43:03.896 [debug] Prepend PATH with python bin for d:\my\env\python3.10.10\python.exe
11:43:03.896 [debug] Activated Env Variables for d:\my\env\python3.10.10\python.exe, 
    PATH value is d:\my\env\python3.10.10;~\AppData\Roaming\Python\Python310\Scripts;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\libnvvp;;;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\libnvvp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\libnvvp;D:\my\env\python3.10.10\Scripts\;D:\my\env\python3.10.10\;D:\my\env\python3.11.2\Scripts\;D:\my\env\python3.11.2\;D:\Program Files\Git LFS\;C:\windows\system32;C:\windows;C:\windows\System32\Wbem;C:\windows\System32\WindowsPowerShell\v1.0\;D:\Program Files\Bandizip\;C:\Program Files\NVIDIA Corporation\NVIDIA NvDLISR;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\include;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include;D:\my\env\Git LFS;C:\Program Files\OpenSSH\;C:\windows\System32\OpenSSH\;C:\Program Files\Docker\Docker\resources\bin;D:\Program Files\Git\cmd;C:\Program Files\PowerShell\7\;C:\Program Files\NVIDIA Corporation\Nsight Compute 2024.1.1\;~\AppData\Local\Microsoft\WindowsApps;;D:\my\program\Microsoft VS Code\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\libnvvp;;;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\libnvvp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\libnvvp;D:\my\env\python3.10.10\Scripts\;D:\my\env\python3.10.10\;D:\my\env\python3.11.2\Scripts\;D:\my\env\python3.11.2\;D:\Program Files\Git LFS\;C:\windows\system32;C:\windows;C:\windows\System32\Wbem;C:\windows\System32\WindowsPowerShell\v1.0\;D:\Program Files\Bandizip\;C:\Program Files\NVIDIA Corporation\NVIDIA NvDLISR;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\include;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include;D:\my\env\Git LFS;C:\Program Files\OpenSSH\;C:\windows\System32\OpenSSH\;C:\Program Files\Docker\Docker\resources\bin;D:\Program Files\Git\cmd;C:\Program Files\PowerShell\7\;C:\Program Files\NVIDIA Corporation\Nsight Compute 2024.1.1\;~\AppData\Local\Microsoft\WindowsApps;;D:\my\program\Microsoft VS Code\bin and 
    Path value is d:\my\env\python3.10.10;~\AppData\Roaming\Python\Python310\Scripts;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\libnvvp;;;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\libnvvp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\libnvvp;D:\my\env\python3.10.10\Scripts\;D:\my\env\python3.10.10\;D:\my\env\python3.11.2\Scripts\;D:\my\env\python3.11.2\;D:\Program Files\Git LFS\;C:\windows\system32;C:\windows;C:\windows\System32\Wbem;C:\windows\System32\WindowsPowerShell\v1.0\;D:\Program Files\Bandizip\;C:\Program Files\NVIDIA Corporation\NVIDIA NvDLISR;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\include;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include;D:\my\env\Git LFS;C:\Program Files\OpenSSH\;C:\windows\System32\OpenSSH\;C:\Program Files\Docker\Docker\resources\bin;D:\Program Files\Git\cmd;C:\Program Files\PowerShell\7\;C:\Program Files\NVIDIA Corporation\Nsight Compute 2024.1.1\;~\AppData\Local\Microsoft\WindowsApps;;D:\my\program\Microsoft VS Code\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\libnvvp;;;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\libnvvp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\libnvvp;D:\my\env\python3.10.10\Scripts\;D:\my\env\python3.10.10\;D:\my\env\python3.11.2\Scripts\;D:\my\env\python3.11.2\;D:\Program Files\Git LFS\;C:\windows\system32;C:\windows;C:\windows\System32\Wbem;C:\windows\System32\WindowsPowerShell\v1.0\;D:\Program Files\Bandizip\;C:\Program Files\NVIDIA Corporation\NVIDIA NvDLISR;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\include;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include;D:\my\env\Git LFS;C:\Program Files\OpenSSH\;C:\windows\System32\OpenSSH\;C:\Program Files\Docker\Docker\resources\bin;D:\Program Files\Git\cmd;C:\Program Files\PowerShell\7\;C:\Program Files\NVIDIA Corporation\Nsight Compute 2024.1.1\;~\AppData\Local\Microsoft\WindowsApps;;D:\my\program\Microsoft VS Code\bin
11:43:03.896 [debug] Prepend PATH with user site path for d:\my\env\python3.10.10\python.exe, user site ~\AppData\Roaming\Python\Python310\Scripts
11:43:03.896 [debug] Prepend PATH with python bin for d:\my\env\python3.10.10\python.exe
11:43:03.896 [debug] Activated Env Variables for d:\my\env\python3.10.10\python.exe, 
    PATH value is d:\my\env\python3.10.10;~\AppData\Roaming\Python\Python310\Scripts;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\libnvvp;;;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\libnvvp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\libnvvp;D:\my\env\python3.10.10\Scripts\;D:\my\env\python3.10.10\;D:\my\env\python3.11.2\Scripts\;D:\my\env\python3.11.2\;D:\Program Files\Git LFS\;C:\windows\system32;C:\windows;C:\windows\System32\Wbem;C:\windows\System32\WindowsPowerShell\v1.0\;D:\Program Files\Bandizip\;C:\Program Files\NVIDIA Corporation\NVIDIA NvDLISR;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\include;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include;D:\my\env\Git LFS;C:\Program Files\OpenSSH\;C:\windows\System32\OpenSSH\;C:\Program Files\Docker\Docker\resources\bin;D:\Program Files\Git\cmd;C:\Program Files\PowerShell\7\;C:\Program Files\NVIDIA Corporation\Nsight Compute 2024.1.1\;~\AppData\Local\Microsoft\WindowsApps;;D:\my\program\Microsoft VS Code\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\libnvvp;;;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\libnvvp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\libnvvp;D:\my\env\python3.10.10\Scripts\;D:\my\env\python3.10.10\;D:\my\env\python3.11.2\Scripts\;D:\my\env\python3.11.2\;D:\Program Files\Git LFS\;C:\windows\system32;C:\windows;C:\windows\System32\Wbem;C:\windows\System32\WindowsPowerShell\v1.0\;D:\Program Files\Bandizip\;C:\Program Files\NVIDIA Corporation\NVIDIA NvDLISR;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\include;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include;D:\my\env\Git LFS;C:\Program Files\OpenSSH\;C:\windows\System32\OpenSSH\;C:\Program Files\Docker\Docker\resources\bin;D:\Program Files\Git\cmd;C:\Program Files\PowerShell\7\;C:\Program Files\NVIDIA Corporation\Nsight Compute 2024.1.1\;~\AppData\Local\Microsoft\WindowsApps;;D:\my\program\Microsoft VS Code\bin and 
    Path value is d:\my\env\python3.10.10;~\AppData\Roaming\Python\Python310\Scripts;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\libnvvp;;;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\libnvvp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\libnvvp;D:\my\env\python3.10.10\Scripts\;D:\my\env\python3.10.10\;D:\my\env\python3.11.2\Scripts\;D:\my\env\python3.11.2\;D:\Program Files\Git LFS\;C:\windows\system32;C:\windows;C:\windows\System32\Wbem;C:\windows\System32\WindowsPowerShell\v1.0\;D:\Program Files\Bandizip\;C:\Program Files\NVIDIA Corporation\NVIDIA NvDLISR;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\include;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include;D:\my\env\Git LFS;C:\Program Files\OpenSSH\;C:\windows\System32\OpenSSH\;C:\Program Files\Docker\Docker\resources\bin;D:\Program Files\Git\cmd;C:\Program Files\PowerShell\7\;C:\Program Files\NVIDIA Corporation\Nsight Compute 2024.1.1\;~\AppData\Local\Microsoft\WindowsApps;;D:\my\program\Microsoft VS Code\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\libnvvp;;;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\libnvvp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\libnvvp;D:\my\env\python3.10.10\Scripts\;D:\my\env\python3.10.10\;D:\my\env\python3.11.2\Scripts\;D:\my\env\python3.11.2\;D:\Program Files\Git LFS\;C:\windows\system32;C:\windows;C:\windows\System32\Wbem;C:\windows\System32\WindowsPowerShell\v1.0\;D:\Program Files\Bandizip\;C:\Program Files\NVIDIA Corporation\NVIDIA NvDLISR;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\include;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include;D:\my\env\Git LFS;C:\Program Files\OpenSSH\;C:\windows\System32\OpenSSH\;C:\Program Files\Docker\Docker\resources\bin;D:\Program Files\Git\cmd;C:\Program Files\PowerShell\7\;C:\Program Files\NVIDIA Corporation\Nsight Compute 2024.1.1\;~\AppData\Local\Microsoft\WindowsApps;;D:\my\program\Microsoft VS Code\bin
11:43:03.896 [debug] Getting activated env variables, Class name = Pp, completed in 159ms, has a truthy return value, Arg 1: "/d:/my/work/test/python_test", Arg 2: "D:\\MY\\ENV\\PYTHON3.10.10\\PYTHON.EXE", Arg 3: undefined
11:43:03.896 [debug] Getting activated env variables, Class name = Pp, completed in 143ms, has a truthy return value, Arg 1: "/d:/my/work/test/python_test/encode.ipynb", Arg 2: "D:\\MY\\ENV\\PYTHON3.10.10\\PYTHON.EXE", Arg 3: undefined
11:43:03.901 [info] Process Execution: d:\my\env\python3.10.10\python.exe -m pip list
11:43:03.907 [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__)"
11:43:03.907 [debug] Kernel Env Variables for ~\.vscode\extensions\ms-toolsai.jupyter-2024.3.1-win32-x64\temp\jupyter\kernels\python31010jvsc74a57bd0d9556678d02f556b8171da6f4234414674566ea60e98b9cfd43bc7620eeeef71\kernel.json, PATH value is d:\my\env\python3.10.10;~\AppData\Roaming\Python\Python310\Scripts;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\libnvvp;;;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\libnvvp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\libnvvp;D:\my\env\python3.10.10\Scripts\;D:\my\env\python3.10.10\;D:\my\env\python3.11.2\Scripts\;D:\my\env\python3.11.2\;D:\Program Files\Git LFS\;C:\windows\system32;C:\windows;C:\windows\System32\Wbem;C:\windows\System32\WindowsPowerShell\v1.0\;D:\Program Files\Bandizip\;C:\Program Files\NVIDIA Corporation\NVIDIA NvDLISR;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\include;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include;D:\my\env\Git LFS;C:\Program Files\OpenSSH\;C:\windows\System32\OpenSSH\;C:\Program Files\Docker\Docker\resources\bin;D:\Program Files\Git\cmd;C:\Program Files\PowerShell\7\;C:\Program Files\NVIDIA Corporation\Nsight Compute 2024.1.1\;~\AppData\Local\Microsoft\WindowsApps;;D:\my\program\Microsoft VS Code\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\libnvvp;;;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\libnvvp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\libnvvp;D:\my\env\python3.10.10\Scripts\;D:\my\env\python3.10.10\;D:\my\env\python3.11.2\Scripts\;D:\my\env\python3.11.2\;D:\Program Files\Git LFS\;C:\windows\system32;C:\windows;C:\windows\System32\Wbem;C:\windows\System32\WindowsPowerShell\v1.0\;D:\Program Files\Bandizip\;C:\Program Files\NVIDIA Corporation\NVIDIA NvDLISR;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\include;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include;D:\my\env\Git LFS;C:\Program Files\OpenSSH\;C:\windows\System32\OpenSSH\;C:\Program Files\Docker\Docker\resources\bin;D:\Program Files\Git\cmd;C:\Program Files\PowerShell\7\;C:\Program Files\NVIDIA Corporation\Nsight Compute 2024.1.1\;~\AppData\Local\Microsoft\WindowsApps;;D:\my\program\Microsoft VS Code\bin
11:43:03.913 [info] Process Execution: d:\my\env\python3.10.10\python.exe ~\.vscode\extensions\ms-toolsai.jupyter-2024.3.1-win32-x64\pythonFiles\vscode_datascience_helpers\kernel_interrupt_daemon.py --ppid 10188
    > cwd: ~\.vscode\extensions\ms-toolsai.jupyter-2024.3.1-win32-x64\pythonFiles\vscode_datascience_helpers
11:43:04.024 [debug] Got a response of 1996 for INITIALIZE_INTERRUPT:0
11:43:04.030 [info] Process Execution: d:\my\env\python3.10.10\python.exe -m ipykernel_launcher --f=~\AppData\Roaming\jupyter\runtime\kernel-v2-10188uDKuf1fBrRtb.json
    > cwd: d:\my\work\test\python_test
11:43:04.030 [debug] Kernel process 14996.
11:43:04.088 [debug] ipykernel version & path 6.29.4, d:\my\env\python3.10.10\lib\site-packages\ipykernel\__init__.py for d:\my\env\python3.10.10\python.exe
11:43:04.211 [debug] creating new code watcher with matching document file:///d%3A/my/work/test/python_test/test.py
11:43:04.495 [debug] Kernel output: NOTE: When using the `ipython kernel` entry point, Ctrl-C will not work.

To exit, you will have to explicitly quit this process, by either sending
"quit" from a client, or using Ctrl-\ in UNIX-like environments.

To read more about this, see https://github.com/ipython/ipython/issues/2049


To connect another client to this kernel, use:
    --existing ~\AppData\Roaming\jupyter\runtime\kernel-v2-10188uDKuf1fBrRtb.json

11:43:04.668 [debug] Waiting for Raw Session to be ready in postStartRawSession
11:43:04.668 [debug] Waiting for Raw session to be ready, status: connected
11:43:04.668 [debug] Raw session connected
11:43:04.668 [debug] Waiting for Raw session to be ready
11:43:04.668 [debug] Waited for Raw session to be ready & got status: connected
11:43:04.668 [debug] Successfully waited for Raw Session to be ready in postStartRawSession
11:43:04.668 [debug] Kernel status is 'unknown' before requesting kernel info and after ready
11:43:04.668 [debug] Sending request for kernelInfo
11:43:04.679 [debug] Got response for requestKernelInfo
11:43:04.679 [debug] Successfully completed postStartRawSession after 1 attempt(s) in 11ms
11:43:04.680 [debug] Executing silently Code (idle) = import sys as _VSCODE_sys\nprint(_VSCODE_sys.executable); del _VSCODE_sys
11:43:04.689 [debug] Executing silently Code (completed) = import sys as _VSCODE_sys\nprint(_VSCODE_sys.executable); del _VSCODE_sys with 1 output(s)
11:43:04.689 [debug] Started running kernel initialization for d:\my\work\test\python_test\encode.ipynb
11:43:04.690 [debug] Executing silently Code (idle) = try:\nimport ipywidgets as _VSCODE_ipywidgets\nprint("e976ee50-99ed-4aba-9b6b-9dcd5634d07d:IPy
11:43:04.736 [debug] Executing silently Code (completed) = try:\nimport ipywidgets as _VSCODE_ipywidgets\nprint("e976ee50-99ed-4aba-9b6b-9dcd5634d07d:IPy with 1 output(s)
11:43:04.736 [debug] Determined IPyWidgets Version as 8
11:43:04.736 [debug] Version of IPyWidgets 8 determined after 1.001s
11:43:04.737 [debug] Executing silently Code (idle) = def __VSCODE_inject_module():\ndef __VSCODE_call_function(function, callback, data=None):
11:43:04.753 [debug] Executing silently Code (completed) = def __VSCODE_inject_module():\ndef __VSCODE_call_function(function, callback, data=None): with 1 output(s)
11:43:04.753 [debug] Requesting Kernel info
11:43:04.754 [debug] Got Kernel info
11:43:04.754 [debug] End running kernel initialization, now waiting for idle
11:43:04.754 [debug] Waiting for idle on (kernel): fcae76be-025a-4afe-a8e4-037169a1543e -> idle
11:43:04.754 [debug] Finished waiting for idle on (kernel): fcae76be-025a-4afe-a8e4-037169a1543e -> idle
11:43:04.754 [debug] End running kernel initialization, session is idle
11:43:04.756 [debug] Registering Kernel Completion Provider from kernel Python 3.10.10 for language python
11:43:04.756 [debug] IPyWidgetScriptSource.initialize
11:43:04.758 [debug] getDataDirsImpl, Class name = Br (started execution), Arg 1: "/d:/my/work/test/python_test/encode.ipynb", Arg 2: "D:\\MY\\ENV\\PYTHON3.10.10\\PYTHON.EXE"
11:43:04.759 [debug] Get Custom Env Variables, Class name = Jm, completed in 0ms, has a truthy return value, Arg 1: undefined, Arg 2: "RunPythonCode"
11:43:04.759 [debug] Jupyter Paths : 
11:43:04.765 [info] Process Execution: d:\my\env\python3.10.10\python.exe ~\.vscode\extensions\ms-toolsai.jupyter-2024.3.1-win32-x64\pythonFiles\printJupyterDataDir.py
11:43:04.800 [debug] getDataDirsImpl, Class name = Br, completed in 41ms, has a truthy return value, Arg 1: "/d:/my/work/test/python_test/encode.ipynb", Arg 2: "D:\\MY\\ENV\\PYTHON3.10.10\\PYTHON.EXE", Return Value: <Uri:/C:/Users/<username>/AppData/Roaming/Python/share/jupyter>, <Uri:/C:/Users/<username>/AppData/Roaming/jupyter>, <Uri:/D:/my/env/python3.10.10/share/jupyter>, <Uri:/C:/ProgramData/jupyter>
11:43:04.873 [debug] End refreshing Kernel Picker (1714448583628)
11:43:05.262 [debug] Web view is ready to receive widget messages
11:43:05.263 [debug] Widget Message: Received IPyWidgets_kernelOptions in ScriptManager
11:43:05.263 [debug] Widget Message: Received IPyWidgetMessages.IPyWidgets_kernelOptions
11:43:05.267 [debug] Widget Message: data-base-url set to https://file%2B.vscode-resource.vscode-cdn.net/c%3A/Users/<username>/.vscode/extensions/ms-toolsai.jupyter-2024.3.1-win32-x64/temp/scripts/c1448ee990f1e2327aee6423b60d380730cb6f96db29818006120e19dc2233aa/jupyter
11:43:05.267 [debug] Widget Message: Received IPyWidgets_kernelOptions in ScriptManager
11:43:05.267 [debug] Widget Message: Received IPyWidgetMessages.IPyWidgets_kernelOptions
11:43:05.267 [debug] Widget Message: data-base-url set to https://file%2B.vscode-resource.vscode-cdn.net/c%3A/Users/<username>/.vscode/extensions/ms-toolsai.jupyter-2024.3.1-win32-x64/temp/scripts/c1448ee990f1e2327aee6423b60d380730cb6f96db29818006120e19dc2233aa/jupyter
11:43:42.805 [debug] creating new code watcher with matching document file:///d%3A/my/work/test/python_test/input_test.py
11:44:12.181 [debug] No controller, hence notebook communications cannot be initialized for editor d:\my\work\test\python_test\input_test.ipynb
11:44:23.471 [info] Handle Execution of Cells 0 for d:\my\work\test\python_test\input_test.ipynb
11:44:23.473 [debug] start the kernel, options.disableUI=false for d:\my\work\test\python_test\input_test.ipynb
11:44:23.473 [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 'd:\my\work\test\python_test\input_test.ipynb' (disableUI=false)
11:44:23.474 [debug] Creating raw notebook for resource 'd:\my\work\test\python_test\input_test.ipynb'
11:44:23.474 [debug] KernelProvider switched kernel to id = .jvsc74a57bd0d9556678d02f556b8171da6f4234414674566ea60e98b9cfd43bc7620eeeef71.d:\my\env\python3.10.10\python.exe.d:\my\env\python3.10.10\python.exe.-m#ipykernel_launcher
11:44:23.475 [debug] Registering commtarget jupyter.widget
11:44:23.475 [debug] Controller selection change completed
11:44:23.476 [debug] Get Custom Env Variables, Class name = Jm, completed in 0ms, has a truthy return value, Arg 1: "/d:/my/work/test/python_test/input_test.ipynb", Arg 2: "RunPythonCode"
11:44:23.493 [debug] Launching kernel .jvsc74a57bd0d9556678d02f556b8171da6f4234414674566ea60e98b9cfd43bc7620eeeef71.d:\my\env\python3.10.10\python.exe.d:\my\env\python3.10.10\python.exe.-m#ipykernel_launcher for d:\my\work\test\python_test\input_test.ipynb in d:\my\work\test\python_test with ports 9006, 9005, 9009, 9007, 9008
11:44:23.498 [warn] Failed to get activated env vars for d:\my\env\python3.10.10\python.exe in 22ms
11:44:23.498 [debug] Prepend PATH with user site path for d:\my\env\python3.10.10\python.exe, user site ~\AppData\Roaming\Python\Python310\Scripts
11:44:23.498 [debug] Prepend PATH with python bin for d:\my\env\python3.10.10\python.exe
11:44:23.499 [debug] Activated Env Variables for d:\my\env\python3.10.10\python.exe, 
    PATH value is d:\my\env\python3.10.10;~\AppData\Roaming\Python\Python310\Scripts;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\libnvvp;;;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\libnvvp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\libnvvp;D:\my\env\python3.10.10\Scripts\;D:\my\env\python3.10.10\;D:\my\env\python3.11.2\Scripts\;D:\my\env\python3.11.2\;D:\Program Files\Git LFS\;C:\windows\system32;C:\windows;C:\windows\System32\Wbem;C:\windows\System32\WindowsPowerShell\v1.0\;D:\Program Files\Bandizip\;C:\Program Files\NVIDIA Corporation\NVIDIA NvDLISR;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\include;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include;D:\my\env\Git LFS;C:\Program Files\OpenSSH\;C:\windows\System32\OpenSSH\;C:\Program Files\Docker\Docker\resources\bin;D:\Program Files\Git\cmd;C:\Program Files\PowerShell\7\;C:\Program Files\NVIDIA Corporation\Nsight Compute 2024.1.1\;~\AppData\Local\Microsoft\WindowsApps;;D:\my\program\Microsoft VS Code\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\libnvvp;;;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\libnvvp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\libnvvp;D:\my\env\python3.10.10\Scripts\;D:\my\env\python3.10.10\;D:\my\env\python3.11.2\Scripts\;D:\my\env\python3.11.2\;D:\Program Files\Git LFS\;C:\windows\system32;C:\windows;C:\windows\System32\Wbem;C:\windows\System32\WindowsPowerShell\v1.0\;D:\Program Files\Bandizip\;C:\Program Files\NVIDIA Corporation\NVIDIA NvDLISR;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\include;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include;D:\my\env\Git LFS;C:\Program Files\OpenSSH\;C:\windows\System32\OpenSSH\;C:\Program Files\Docker\Docker\resources\bin;D:\Program Files\Git\cmd;C:\Program Files\PowerShell\7\;C:\Program Files\NVIDIA Corporation\Nsight Compute 2024.1.1\;~\AppData\Local\Microsoft\WindowsApps;;D:\my\program\Microsoft VS Code\bin and 
    Path value is d:\my\env\python3.10.10;~\AppData\Roaming\Python\Python310\Scripts;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\libnvvp;;;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\libnvvp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\libnvvp;D:\my\env\python3.10.10\Scripts\;D:\my\env\python3.10.10\;D:\my\env\python3.11.2\Scripts\;D:\my\env\python3.11.2\;D:\Program Files\Git LFS\;C:\windows\system32;C:\windows;C:\windows\System32\Wbem;C:\windows\System32\WindowsPowerShell\v1.0\;D:\Program Files\Bandizip\;C:\Program Files\NVIDIA Corporation\NVIDIA NvDLISR;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\include;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include;D:\my\env\Git LFS;C:\Program Files\OpenSSH\;C:\windows\System32\OpenSSH\;C:\Program Files\Docker\Docker\resources\bin;D:\Program Files\Git\cmd;C:\Program Files\PowerShell\7\;C:\Program Files\NVIDIA Corporation\Nsight Compute 2024.1.1\;~\AppData\Local\Microsoft\WindowsApps;;D:\my\program\Microsoft VS Code\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\libnvvp;;;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\libnvvp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\libnvvp;D:\my\env\python3.10.10\Scripts\;D:\my\env\python3.10.10\;D:\my\env\python3.11.2\Scripts\;D:\my\env\python3.11.2\;D:\Program Files\Git LFS\;C:\windows\system32;C:\windows;C:\windows\System32\Wbem;C:\windows\System32\WindowsPowerShell\v1.0\;D:\Program Files\Bandizip\;C:\Program Files\NVIDIA Corporation\NVIDIA NvDLISR;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\include;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include;D:\my\env\Git LFS;C:\Program Files\OpenSSH\;C:\windows\System32\OpenSSH\;C:\Program Files\Docker\Docker\resources\bin;D:\Program Files\Git\cmd;C:\Program Files\PowerShell\7\;C:\Program Files\NVIDIA Corporation\Nsight Compute 2024.1.1\;~\AppData\Local\Microsoft\WindowsApps;;D:\my\program\Microsoft VS Code\bin
11:44:23.499 [debug] Getting activated env variables, Class name = Pp, completed in 23ms, has a truthy return value, Arg 1: "/d:/my/work/test/python_test/input_test.ipynb", Arg 2: "D:\\MY\\ENV\\PYTHON3.10.10\\PYTHON.EXE", Arg 3: undefined
11:44:23.504 [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__)"
11:44:23.504 [debug] Kernel Env Variables for ~\.vscode\extensions\ms-toolsai.jupyter-2024.3.1-win32-x64\temp\jupyter\kernels\python31010jvsc74a57bd0d9556678d02f556b8171da6f4234414674566ea60e98b9cfd43bc7620eeeef71\kernel.json, PATH value is d:\my\env\python3.10.10;~\AppData\Roaming\Python\Python310\Scripts;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\libnvvp;;;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\libnvvp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\libnvvp;D:\my\env\python3.10.10\Scripts\;D:\my\env\python3.10.10\;D:\my\env\python3.11.2\Scripts\;D:\my\env\python3.11.2\;D:\Program Files\Git LFS\;C:\windows\system32;C:\windows;C:\windows\System32\Wbem;C:\windows\System32\WindowsPowerShell\v1.0\;D:\Program Files\Bandizip\;C:\Program Files\NVIDIA Corporation\NVIDIA NvDLISR;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\include;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include;D:\my\env\Git LFS;C:\Program Files\OpenSSH\;C:\windows\System32\OpenSSH\;C:\Program Files\Docker\Docker\resources\bin;D:\Program Files\Git\cmd;C:\Program Files\PowerShell\7\;C:\Program Files\NVIDIA Corporation\Nsight Compute 2024.1.1\;~\AppData\Local\Microsoft\WindowsApps;;D:\my\program\Microsoft VS Code\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\libnvvp;;;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\libnvvp;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\libnvvp;D:\my\env\python3.10.10\Scripts\;D:\my\env\python3.10.10\;D:\my\env\python3.11.2\Scripts\;D:\my\env\python3.11.2\;D:\Program Files\Git LFS\;C:\windows\system32;C:\windows;C:\windows\System32\Wbem;C:\windows\System32\WindowsPowerShell\v1.0\;D:\Program Files\Bandizip\;C:\Program Files\NVIDIA Corporation\NVIDIA NvDLISR;C:\Program Files (x86)\NVIDIA Corporation\PhysX\Common;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8\include;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\lib;C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include;D:\my\env\Git LFS;C:\Program Files\OpenSSH\;C:\windows\System32\OpenSSH\;C:\Program Files\Docker\Docker\resources\bin;D:\Program Files\Git\cmd;C:\Program Files\PowerShell\7\;C:\Program Files\NVIDIA Corporation\Nsight Compute 2024.1.1\;~\AppData\Local\Microsoft\WindowsApps;;D:\my\program\Microsoft VS Code\bin
11:44:23.505 [debug] Got a response of 2436 for INITIALIZE_INTERRUPT:1
11:44:23.510 [info] Process Execution: d:\my\env\python3.10.10\python.exe -m ipykernel_launcher --f=~\AppData\Roaming\jupyter\runtime\kernel-v2-10188DW70sN35CIPT.json
    > cwd: d:\my\work\test\python_test
11:44:23.510 [debug] Kernel process 2888.
11:44:23.656 [debug] ipykernel version & path 6.29.4, d:\my\env\python3.10.10\lib\site-packages\ipykernel\__init__.py for d:\my\env\python3.10.10\python.exe
11:44:23.956 [debug] Kernel output: NOTE: When using the `ipython kernel` entry point, Ctrl-C will not work.

To exit, you will have to explicitly quit this process, by either sending
"quit" from a client, or using Ctrl-\ in UNIX-like environments.

To read more about this, see https://github.com/ipython/ipython/issues/2049


To connect another client to this kernel, use:
    --existing ~\AppData\Roaming\jupyter\runtime\kernel-v2-10188DW70sN35CIPT.json

11:44:24.125 [debug] Waiting for Raw Session to be ready in postStartRawSession
11:44:24.125 [debug] Waiting for Raw session to be ready, status: connected
11:44:24.125 [debug] Raw session connected
11:44:24.125 [debug] Waiting for Raw session to be ready
11:44:24.125 [debug] Waited for Raw session to be ready & got status: connected
11:44:24.125 [debug] Successfully waited for Raw Session to be ready in postStartRawSession
11:44:24.125 [debug] Kernel status is 'unknown' before requesting kernel info and after ready
11:44:24.125 [debug] Sending request for kernelInfo
11:44:24.132 [debug] Got response for requestKernelInfo
11:44:24.132 [debug] Successfully completed postStartRawSession after 1 attempt(s) in 7ms
11:44:24.132 [debug] Executing silently Code (idle) = import sys as _VSCODE_sys\nprint(_VSCODE_sys.executable); del _VSCODE_sys
11:44:24.152 [debug] Executing silently Code (completed) = import sys as _VSCODE_sys\nprint(_VSCODE_sys.executable); del _VSCODE_sys with 1 output(s)
11:44:24.152 [debug] Started running kernel initialization for d:\my\work\test\python_test\input_test.ipynb
11:44:24.152 [debug] Executing silently Code (idle) = try:\nimport ipywidgets as _VSCODE_ipywidgets\nprint("e976ee50-99ed-4aba-9b6b-9dcd5634d07d:IPy
11:44:24.200 [debug] Executing silently Code (completed) = try:\nimport ipywidgets as _VSCODE_ipywidgets\nprint("e976ee50-99ed-4aba-9b6b-9dcd5634d07d:IPy with 1 output(s)
11:44:24.200 [debug] Determined IPyWidgets Version as 8
11:44:24.200 [debug] Version of IPyWidgets 8 determined after 0.725s
11:44:24.201 [debug] Executing silently Code (idle) = def __VSCODE_inject_module():\ndef __VSCODE_call_function(function, callback, data=None):
11:44:24.216 [debug] Executing silently Code (completed) = def __VSCODE_inject_module():\ndef __VSCODE_call_function(function, callback, data=None): with 1 output(s)
11:44:24.216 [debug] Requesting Kernel info
11:44:24.216 [debug] Got Kernel info
11:44:24.216 [debug] End running kernel initialization, now waiting for idle
11:44:24.216 [debug] Waiting for idle on (kernel): 3bfe16a1-d8c4-4c8f-a37f-3b3a114db225 -> idle
11:44:24.216 [debug] Finished waiting for idle on (kernel): 3bfe16a1-d8c4-4c8f-a37f-3b3a114db225 -> idle
11:44:24.217 [debug] End running kernel initialization, session is idle
11:44:24.217 [debug] Registering Kernel Completion Provider from kernel Python 3.10.10 for language python
11:44:24.217 [debug] IPyWidgetScriptSource.initialize
11:44:24.219 [debug] Cell Index:0 sent to kernel
11:44:24.225 [debug] Start cell 0 execution @ 1714448664225 (clear output)
11:44:24.225 [debug] Kernel acknowledged execution of cell 0 @ 1714448664225
11:44:24.233 [info] Cell 0 completed in 0.007s (start: 1714448664225, end: 1714448664232)
11:44:24.233 [debug] Cell 0 executed successfully
11:44:24.734 [debug] Web view is ready to receive widget messages
11:44:24.737 [debug] Widget Message: Received IPyWidgets_kernelOptions in ScriptManager
11:44:24.737 [debug] Widget Message: Received IPyWidgetMessages.IPyWidgets_kernelOptions
11:44:24.742 [debug] Widget Message: data-base-url set to https://file%2B.vscode-resource.vscode-cdn.net/c%3A/Users/<username>/.vscode/extensions/ms-toolsai.jupyter-2024.3.1-win32-x64/temp/scripts/c1448ee990f1e2327aee6423b60d380730cb6f96db29818006120e19dc2233aa/jupyter
11:44:24.743 [debug] Widget Message: Received IPyWidgets_kernelOptions in ScriptManager
11:44:24.743 [debug] Widget Message: Received IPyWidgetMessages.IPyWidgets_kernelOptions
11:44:24.743 [debug] Widget Message: data-base-url set to https://file%2B.vscode-resource.vscode-cdn.net/c%3A/Users/<username>/.vscode/extensions/ms-toolsai.jupyter-2024.3.1-win32-x64/temp/scripts/c1448ee990f1e2327aee6423b60d380730cb6f96db29818006120e19dc2233aa/jupyter
11:44:28.194 [info] Handle Execution of Cells 1 for d:\my\work\test\python_test\input_test.ipynb
11:44:28.194 [debug] Cell Index:1 sent to kernel
11:44:28.196 [debug] Start cell 1 execution @ 1714448668196 (clear output)
11:44:28.196 [debug] Kernel acknowledged execution of cell 1 @ 1714448668196
11:44:47.609 [info] Cell 1 completed in 19.413s (start: 1714448668196, end: 1714448687609)
11:44:47.609 [debug] Cell 1 executed successfully
11:44:52.400 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info
11:44:52.400 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info
11:44:52.433 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info with 1 output(s)
11:44:52.465 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info with 1 output(s)
In tihs input 6 show zero 7 two

xiezhipeng-git avatar Apr 30 '24 03:04 xiezhipeng-git

@xiezhipeng-git From the logs you seem to be running two notebooks or starting the kernel multiple times. Also in the file input_test.ipynb you seem to have two cells. Please can you test this again and run just one notebook and ensure the notebook has just one cell.

DonJayamanne avatar Apr 30 '24 04:04 DonJayamanne

Is it possible to attach a screen recording of the issue, you can use gifcap.dev or similar.

DonJayamanne avatar Apr 30 '24 04:04 DonJayamanne

Uploading Recording 2024-05-04 at 21.10.45.gif…

In this times.7 is 0 8 is two. In all tims.It has {20% is 0num} next {99% 2num , %1 0num ) next {1num，3num} it seems 20% will loss in this input

xiezhipeng-git avatar May 04 '24 13:05 xiezhipeng-git

@xiezhipeng-git From the logs you seem to be running two notebooks or starting the kernel multiple times. Also in the file you seem to have two cells. Please can you test this again and run just one notebook and ensure the notebook has just one cell.input_test.ipynb

the two maybe is I try windows and wsl. then this error in windows and wsl (linux) And the file named input_test.ipynb is only one file.It is I make to show this error.The path D:\my\work\test\python_test\input_test.ipynb it only windows path And one cell and two cell.Has the same error.

xiezhipeng-git avatar May 04 '24 13:05 xiezhipeng-git

The recording wasn’t uploaded

DonJayamanne avatar May 04 '24 23:05 DonJayamanne

Uploading Recording 2024-05-05 at 22.40.32.gif… In this 1 2 3 3 loss 4 q Goodbye! And this error is not related to the speed of input. Because sometimes I enter a lot of content and still get the same error.

xiezhipeng-git avatar May 05 '24 14:05 xiezhipeng-git

@DonJayamanne I can't seem to upload successfully, even with or without a VPN. Could it be because the file has spaces? You try git clone https://github.com/xiezhipeng-git/vscode_input_error_show

xiezhipeng-git avatar May 05 '24 14:05 xiezhipeng-git

Please could you enable logging as follows:

  • Open settings & go into Jupyter->Logging
  • Change the value to verbose
  • Reload VS Code,
  • Attempt to repro the issue & then copy the output from the Jupyter output panel (use the command Jupyter: Show Output to get to the logs).

DonJayamanne avatar Jul 22 '24 01:07 DonJayamanne

This issue has been closed automatically because it needs more information and has not had recent activity. See also our issue reporting guidelines.

Happy Coding!

vs-code-engineering[bot] avatar Jul 29 '24 13:07 vs-code-engineering[bot]

The issue has not been resolved. And I provided the project address and error recording. Why do you have to close it if you don't try it yourself

xiezhipeng-git avatar Jul 30 '24 09:07 xiezhipeng-git

Why do you have to close it if you don't try it yourself

I did try this and wasn’t able to replicate this issues Hence the reason I asked for more information see here https://github.com/microsoft/vscode-jupyter/issues/15595#issuecomment-2241903638

Information wasn’t provided hence this got closed automatically

Please can you provide the information requested

DonJayamanne avatar Jul 30 '24 10:07 DonJayamanne

QQ_1722606778643

there is no verbose And this problem occurs with probability. So we can only try multiple times. Although the probability of error is quite high this problem is quite high. the trace log

21:45:53.113 [debug] Handle Execution of Cells 1 for d:\my\work\test\python_test\input_test.ipynb
21:45:53.113 [trace] Cell Index:1 sent to kernel
21:45:53.115 [trace] Start cell 1 execution @ 1722606353115 (clear output)
21:45:53.115 [debug] Kernel acknowledged execution of cell 1 @ 1722606353115
21:45:58.327 [trace] Cell 1 completed in 5.211s (start: 1722606353115, end: 1722606358326)
21:45:58.327 [trace] Cell 1 executed successfully
21:46:00.153 [debug] Handle Execution of Cells 1 for d:\my\work\test\python_test\input_test.ipynb
21:46:00.153 [trace] Cell Index:1 sent to kernel
21:46:00.155 [trace] Start cell 1 execution @ 1722606360155 (clear output)
21:46:00.156 [debug] Kernel acknowledged execution of cell 1 @ 1722606360155
21:46:20.733 [trace] Cell 1 completed in 20.578s (start: 1722606360155, end: 1722606380733)
21:46:20.734 [trace] Cell 1 executed successfully
21:47:03.860 [trace] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info
21:47:03.861 [trace] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info
21:47:03.884 [trace] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info with 1 output(s)
21:47:03.916 [trace] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info with 1 output(s)

And the content is probability display loss. The input and display are not synchronized. It is necessary to record the time when the output ends. The current log may not show where exactly is wrong

xiezhipeng-git avatar Aug 02 '24 13:08 xiezhipeng-git