Closed tdboyle-mm closed 1 year ago
Thanks for filing this issue and I'm sorry yo'ure running into this. Please could you: Please could you enable logging as follows:
Jupyter->Logging
verbose
Jupyter
output panel.Note: Please could you paste all of the output, including the initial bit, not just when you're about to start the cell (as there's a bit that goes on before that as well thats relevant)
Thanks for filing this issue and I'm sorry yo'ure running into this. Please could you: 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.Note: Please could you paste all of the output, including the initial bit, not just when you're about to start the cell (as there's a bit that goes on before that as well thats relevant)
Sure, thanks for the attention. I'm opening up the environment in Jupyter Notebook right now to ensure that the environment itself isn't the issue. Then I can add in the requested information -- I'll reply as soon as I've done so.
@DonJayamanne -- I was able to access the environment and run cells in a Jupyter Notebook.
Here is the requested logging.
Thanks for providing the logs,
import sys
print(sys.executable)
import ipykernel
print(ipykernel.__version__)
jupyter --version
and please let me know what you get for all the packages.error 11:43:08.597: Failed to get activated conda env variables from Python for p:\396\GNW\10.01 0122\Analysis_inProg_tdb\gnw_conda_tdb\python.exe info 11:43:08.597: Got empty env vars with python p:\396\GNW\10.01 0122\Analysis_inProg_tdb\
This looks interesting, can you enable debug
logging for the Python extension
"python.logging.level": "debug",
I'm asking for these logs as the Jupyter extension relies on python extension to activate the conda environment, and it looks like that is failing in the Python extension.
Closing this issue as its been over 4 weeks, since the information was requested. We'll be happy to reopen the issue when the requested information has been provided.
Environment data
Expected behaviour
Conda environment is located in a network drive. I open Conda terminal, activate environment, launch VS Code via "code .", then use "Jupyter: Select Interpreter to Start Jupyter Server" to select my Conda environment and attempt to run a Python cell in a .ipynb file (just importing libraries). Conda environment is located in: "p:\396\GNW\10.01 0122\Analysis\_inProg_tdb\gnw_conda_tdb"
Actual behaviour
"Failed to start the Kernel. Unable to start Kernel 'gnw_conda_tdb (Python 3.10.6)' due to connection timeout. View Jupyter log for further details."
Logs
Output for (c:\Users\Tanner.Boyle\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003161031\out\extension.node.js:2:1248005)
at listOnTimeout (node:internal/timers:559:17)
at process.processTimers (node:internal/timers:502:7)]
error 10:47:47.315: Disposing kernel process due to an error [a [Error]: Unable to start Kernel 'gnw_conda_tdb (Python 3.10.6)' due to connection timeout.
View Jupyter [log](command:jupyter.viewOutput) for further details.
at c:\Users\Tanner.Boyle\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003161031\out\extension.node.js:2:2167319
at runNextTicks (node:internal/process/task_queues:61:5)
at listOnTimeout (node:internal/timers:528:9)
at process.processTimers (node:internal/timers:502:7)
at async x.launch (c:\Users\Tanner.Boyle\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003161031\out\extension.node.js:2:2167390)] {
category: 'timeout',
kernelConnectionMetadata: f {
kind: 'startUsingPythonInterpreter',
kernelSpec: {
specFile: 'c:\\Users\\Tanner.Boyle\\.vscode\\extensions\\ms-toolsai.jupyter-2022.11.1003161031\\temp\\jupyter\\kernels\\pythonjvsc74a57bd066e1d5399fd6d82aecc10e553538f4e293484efc4cdc679f30a4f48e585270a8\\kernel.json',
interpreterPath: 'p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb\\python.exe',
isRegisteredByVSC: 'registeredByNewVersionOfExt',
name: 'pythonjvsc74a57bd066e1d5399fd6d82aecc10e553538f4e293484efc4cdc679f30a4f48e585270a8',
argv: [Array],
language: 'python',
executable: 'python',
display_name: 'Python 3',
metadata: [Object],
env: {},
interrupt_mode: undefined
},
interpreter: {
id: 'P:\\396\\GNW\\10.01 0122\\ANALYSIS\\_INPROG_TDB\\GNW_CONDA_TDB\\PYTHON.EXE',
sysPrefix: 'p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb',
envPath: [h],
displayPath: [h],
envName: '',
uri: [h],
displayName: '',
envType: 'Conda',
version: [Object]
},
id: '.jvsc74a57bd066e1d5399fd6d82aecc10e553538f4e293484efc4cdc679f30a4f48e585270a8.p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb\\python.exe.p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb\\python.exe.-m#ipykernel_launcher'
}
}
error 10:47:47.315:
info 10:47:47.315: Dispose Kernel process 43160.
error 10:47:47.619: Kernel Launcher. launch, Class name = r, completed in 61403ms, has a falsy return value, Arg 1: {"id":".jvsc74a57bd066e1d5399fd6d82aecc10e553538f4e293484efc4cdc679f30a4f48e585270a8.p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb\\python.exe.p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb\\python.exe.-m#ipykernel_launcher","kernelSpec":{"specFile":"c:\\Users\\Tanner.Boyle\\.vscode\\extensions\\ms-toolsai.jupyter-2022.11.1003161031\\temp\\jupyter\\kernels\\pythonjvsc74a57bd066e1d5399fd6d82aecc10e553538f4e293484efc4cdc679f30a4f48e585270a8\\kernel.json","interpreterPath":"p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb\\python.exe","isRegisteredByVSC":"registeredByNewVersionOfExt","name":"pythonjvsc74a57bd066e1d5399fd6d82aecc10e553538f4e293484efc4cdc679f30a4f48e585270a8","argv":["python","-m","ipykernel_launcher","-f","{connection_file}"],"language":"python","executable":"python","display_name":"Python 3","metadata":{"interpreter":{"path":"p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb\\python.exe"}},"env":{}},"interpreter":{"id":"P:\\396\\GNW\\10.01 0122\\ANALYSIS\\_INPROG_TDB\\GNW_CONDA_TDB\\PYTHON.EXE","sysPrefix":"p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb","envPath":"p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb","displayPath":{"$mid":1,"fsPath":"p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb","_sep":1,"path":"/P:/396/GNW/10.01 0122/Analysis/_inProg_tdb/gnw_conda_tdb","scheme":"file"},"envName":"","displayName":"","envType":"Conda","version":{"major":3,"minor":10,"patch":6,"raw":"3.10.6 | packaged by conda-forge | (main, Oct 24 2022, 16:02:16) [MSC v.1916 64 bit (AMD64)]"},"path":"p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb\\python.exe"},"kind":"startUsingPythonInterpreter"}, Arg 2: 60000, Arg 3: "/p:/396/GNW/10.01 0122/Analysis/_inProg_tdb/Modeling/stockcode/_tdb/4000_Master_Calculate_Model_Performance_tdb.ipynb", Arg 4: "p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\Modeling\\stockcode\\_tdb", Arg 5: [a [Error]: Unable to start Kernel 'gnw_conda_tdb (Python 3.10.6)' due to connection timeout.
View Jupyter [log](command:jupyter.viewOutput) for further details.
at c:\Users\Tanner.Boyle\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003161031\out\extension.node.js:2:2167319
at runNextTicks (node:internal/process/task_queues:61:5)
at listOnTimeout (node:internal/timers:528:9)
at process.processTimers (node:internal/timers:502:7)
at async x.launch (c:\Users\Tanner.Boyle\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003161031\out\extension.node.js:2:2167390)] {
category: 'timeout',
kernelConnectionMetadata: f {
kind: 'startUsingPythonInterpreter',
kernelSpec: {
specFile: 'c:\\Users\\Tanner.Boyle\\.vscode\\extensions\\ms-toolsai.jupyter-2022.11.1003161031\\temp\\jupyter\\kernels\\pythonjvsc74a57bd066e1d5399fd6d82aecc10e553538f4e293484efc4cdc679f30a4f48e585270a8\\kernel.json',
interpreterPath: 'p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb\\python.exe',
isRegisteredByVSC: 'registeredByNewVersionOfExt',
name: 'pythonjvsc74a57bd066e1d5399fd6d82aecc10e553538f4e293484efc4cdc679f30a4f48e585270a8',
argv: [Array],
language: 'python',
executable: 'python',
display_name: 'Python 3',
metadata: [Object],
env: {},
interrupt_mode: undefined
},
interpreter: {
id: 'P:\\396\\GNW\\10.01 0122\\ANALYSIS\\_INPROG_TDB\\GNW_CONDA_TDB\\PYTHON.EXE',
sysPrefix: 'p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb',
envPath: [h],
displayPath: [h],
envName: '',
uri: [h],
displayName: '',
envType: 'Conda',
version: [Object]
},
id: '.jvsc74a57bd066e1d5399fd6d82aecc10e553538f4e293484efc4cdc679f30a4f48e585270a8.p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb\\python.exe.p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb\\python.exe.-m#ipykernel_launcher'
}
}
error 10:47:47.619: Failed to connect raw kernel session: Error: Unable to start Kernel 'gnw_conda_tdb (Python 3.10.6)' due to connection timeout.
View Jupyter [log](command:jupyter.viewOutput) for further details.
warn 10:47:47.620: Error occurred while trying to start the kernel, options.disableUI=false [a [Error]: Unable to start Kernel 'gnw_conda_tdb (Python 3.10.6)' due to connection timeout.
View Jupyter [log](command:jupyter.viewOutput) for further details.
at c:\Users\Tanner.Boyle\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003161031\out\extension.node.js:2:2167319
at runNextTicks (node:internal/process/task_queues:61:5)
at listOnTimeout (node:internal/timers:528:9)
at process.processTimers (node:internal/timers:502:7)
at async x.launch (c:\Users\Tanner.Boyle\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003161031\out\extension.node.js:2:2167390)] {
category: 'timeout',
kernelConnectionMetadata: f {
kind: 'startUsingPythonInterpreter',
kernelSpec: {
specFile: 'c:\\Users\\Tanner.Boyle\\.vscode\\extensions\\ms-toolsai.jupyter-2022.11.1003161031\\temp\\jupyter\\kernels\\pythonjvsc74a57bd066e1d5399fd6d82aecc10e553538f4e293484efc4cdc679f30a4f48e585270a8\\kernel.json',
interpreterPath: 'p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb\\python.exe',
isRegisteredByVSC: 'registeredByNewVersionOfExt',
name: 'pythonjvsc74a57bd066e1d5399fd6d82aecc10e553538f4e293484efc4cdc679f30a4f48e585270a8',
argv: [Array],
language: 'python',
executable: 'python',
display_name: 'Python 3',
metadata: [Object],
env: {},
interrupt_mode: undefined
},
interpreter: {
id: 'P:\\396\\GNW\\10.01 0122\\ANALYSIS\\_INPROG_TDB\\GNW_CONDA_TDB\\PYTHON.EXE',
sysPrefix: 'p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb',
envPath: [h],
displayPath: [h],
envName: '',
uri: [h],
displayName: '',
envType: 'Conda',
version: [Object]
},
id: '.jvsc74a57bd066e1d5399fd6d82aecc10e553538f4e293484efc4cdc679f30a4f48e585270a8.p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb\\python.exe.p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb\\python.exe.-m#ipykernel_launcher'
}
}
warn 10:47:47.620: Kernel Error, context = start [a [Error]: Unable to start Kernel 'gnw_conda_tdb (Python 3.10.6)' due to connection timeout.
View Jupyter [log](command:jupyter.viewOutput) for further details.
at c:\Users\Tanner.Boyle\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003161031\out\extension.node.js:2:2167319
at runNextTicks (node:internal/process/task_queues:61:5)
at listOnTimeout (node:internal/timers:528:9)
at process.processTimers (node:internal/timers:502:7)
at async x.launch (c:\Users\Tanner.Boyle\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003161031\out\extension.node.js:2:2167390)] {
category: 'timeout',
kernelConnectionMetadata: f {
kind: 'startUsingPythonInterpreter',
kernelSpec: {
specFile: 'c:\\Users\\Tanner.Boyle\\.vscode\\extensions\\ms-toolsai.jupyter-2022.11.1003161031\\temp\\jupyter\\kernels\\pythonjvsc74a57bd066e1d5399fd6d82aecc10e553538f4e293484efc4cdc679f30a4f48e585270a8\\kernel.json',
interpreterPath: 'p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb\\python.exe',
isRegisteredByVSC: 'registeredByNewVersionOfExt',
name: 'pythonjvsc74a57bd066e1d5399fd6d82aecc10e553538f4e293484efc4cdc679f30a4f48e585270a8',
argv: [Array],
language: 'python',
executable: 'python',
display_name: 'Python 3',
metadata: [Object],
env: {},
interrupt_mode: undefined
},
interpreter: {
id: 'P:\\396\\GNW\\10.01 0122\\ANALYSIS\\_INPROG_TDB\\GNW_CONDA_TDB\\PYTHON.EXE',
sysPrefix: 'p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb',
envPath: [h],
displayPath: [h],
envName: '',
uri: [h],
displayName: '',
envType: 'Conda',
version: [Object]
},
id: '.jvsc74a57bd066e1d5399fd6d82aecc10e553538f4e293484efc4cdc679f30a4f48e585270a8.p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb\\python.exe.p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb\\python.exe.-m#ipykernel_launcher'
}
}
info 10:47:48.080: Process Execution: > p:\396\GNW\10.01 0122\Analysis\_inProg_tdb\gnw_conda_tdb\python.exe -c "import ipykernel"
> p:\396\GNW\10.01 0122\Analysis\_inProg_tdb\gnw_conda_tdb\python.exe -c "import ipykernel"
warn 10:47:48.081: Error output in interrupt daemon response 2022-11-14 10:47:47,608 UTC - WARNING - Unknown command: DISPOSE_INTERRUPT_HANDLE:9:3628
info 10:47:56.483: Got env vars with python p:\396\GNW\10.01 0122\Analysis\_inProg_tdb\gnw_conda_tdb\python.exe, with env var count 70 and custom env var count 66 in 8863ms
info 10:48:22.850: Dispose Kernel 'p:\396\GNW\10.01 0122\Analysis\_inProg_tdb\Modeling\stockcode\_tdb\4000_Master_Calculate_Model_Performance_tdb.ipynb' associated with 'p:\396\GNW\10.01 0122\Analysis\_inProg_tdb\Modeling\stockcode\_tdb\4000_Master_Calculate_Model_Performance_tdb.ipynb'
error 10:48:22.855: Error in execution [a [Error]: Unable to start Kernel 'gnw_conda_tdb (Python 3.10.6)' due to connection timeout.
View Jupyter [log](command:jupyter.viewOutput) for further details.
at c:\Users\Tanner.Boyle\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003161031\out\extension.node.js:2:2167319
at runNextTicks (node:internal/process/task_queues:61:5)
at listOnTimeout (node:internal/timers:528:9)
at process.processTimers (node:internal/timers:502:7)
at async x.launch (c:\Users\Tanner.Boyle\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003161031\out\extension.node.js:2:2167390)] {
category: 'timeout',
kernelConnectionMetadata: f {
kind: 'startUsingPythonInterpreter',
kernelSpec: {
specFile: 'c:\\Users\\Tanner.Boyle\\.vscode\\extensions\\ms-toolsai.jupyter-2022.11.1003161031\\temp\\jupyter\\kernels\\pythonjvsc74a57bd066e1d5399fd6d82aecc10e553538f4e293484efc4cdc679f30a4f48e585270a8\\kernel.json',
interpreterPath: 'p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb\\python.exe',
isRegisteredByVSC: 'registeredByNewVersionOfExt',
name: 'pythonjvsc74a57bd066e1d5399fd6d82aecc10e553538f4e293484efc4cdc679f30a4f48e585270a8',
argv: [Array],
language: 'python',
executable: 'python',
display_name: 'Python 3',
metadata: [Object],
env: {},
interrupt_mode: undefined
},
interpreter: {
id: 'P:\\396\\GNW\\10.01 0122\\ANALYSIS\\_INPROG_TDB\\GNW_CONDA_TDB\\PYTHON.EXE',
sysPrefix: 'p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb',
envPath: [h],
displayPath: [h],
envName: '',
uri: [h],
displayName: '',
envType: 'Conda',
version: [Object]
},
id: '.jvsc74a57bd066e1d5399fd6d82aecc10e553538f4e293484efc4cdc679f30a4f48e585270a8.p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb\\python.exe.p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb\\python.exe.-m#ipykernel_launcher'
}
}
error 10:48:22.855: Error in execution (get message for cell) [a [Error]: Unable to start Kernel 'gnw_conda_tdb (Python 3.10.6)' due to connection timeout.
View Jupyter [log](command:jupyter.viewOutput) for further details.
at c:\Users\Tanner.Boyle\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003161031\out\extension.node.js:2:2167319
at runNextTicks (node:internal/process/task_queues:61:5)
at listOnTimeout (node:internal/timers:528:9)
at process.processTimers (node:internal/timers:502:7)
at async x.launch (c:\Users\Tanner.Boyle\.vscode\extensions\ms-toolsai.jupyter-2022.11.1003161031\out\extension.node.js:2:2167390)] {
category: 'timeout',
kernelConnectionMetadata: f {
kind: 'startUsingPythonInterpreter',
kernelSpec: {
specFile: 'c:\\Users\\Tanner.Boyle\\.vscode\\extensions\\ms-toolsai.jupyter-2022.11.1003161031\\temp\\jupyter\\kernels\\pythonjvsc74a57bd066e1d5399fd6d82aecc10e553538f4e293484efc4cdc679f30a4f48e585270a8\\kernel.json',
interpreterPath: 'p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb\\python.exe',
isRegisteredByVSC: 'registeredByNewVersionOfExt',
name: 'pythonjvsc74a57bd066e1d5399fd6d82aecc10e553538f4e293484efc4cdc679f30a4f48e585270a8',
argv: [Array],
language: 'python',
executable: 'python',
display_name: 'Python 3',
metadata: [Object],
env: {},
interrupt_mode: undefined
},
interpreter: {
id: 'P:\\396\\GNW\\10.01 0122\\ANALYSIS\\_INPROG_TDB\\GNW_CONDA_TDB\\PYTHON.EXE',
sysPrefix: 'p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb',
envPath: [h],
displayPath: [h],
envName: '',
uri: [h],
displayName: '',
envType: 'Conda',
version: [Object]
},
id: '.jvsc74a57bd066e1d5399fd6d82aecc10e553538f4e293484efc4cdc679f30a4f48e585270a8.p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb\\python.exe.p:\\396\\GNW\\10.01 0122\\Analysis\\_inProg_tdb\\gnw_conda_tdb\\python.exe.-m#ipykernel_launcher'
}
}
Jupyter
in theOutput
panel (View
→Output
, change the drop-down the upper-right of theOutput
panel toJupyter
) info 10:46:46.185: Starting Jupyter Session startUsingPythonInterpreter, .jvsc74a57bd066e1d5399fd6d82aecc10e553538f4e293484efc4cdc679f30a4f48e585270a8.p:\396\GNW\10.01 0122\Analysis\_inProg_tdb\gnw_conda_tdb\python.exe.p:\396\GNW\10.01 0122\Analysis\_inProg_tdb\gnw_conda_tdb\python.exe.-m#ipykernel_launcher (Python Path: p:\396\GNW\10.01 0122\Analysis\_inProg_tdb\gnw_conda_tdb, EnvType: Conda, EnvName: '', Version: 3.10.6 | packaged by conda-forge | (main, Oct 24 2022, 16:02:16) [MSC v.1916 64 bit (AMD64)]) for 'p:\396\GNW\10.01 0122\Analysis\_inProg_tdb\Modeling\stockcode\_tdb\4000_Master_Calculate_Model_Performance_tdb.ipynb' (disableUI=false) info 10:46:46.186: Computing working directory for resource 'p:\396\GNW\10.01 0122\Analysis\_inProg_tdb\Modeling\stockcode\_tdb\4000_Master_Calculate_Model_Performance_tdb.ipynb' info 10:46:46.811: Process Execution: > p:\396\GNW\10.01 0122\Analysis\_inProg_tdb\gnw_conda_tdb\python.exe -c "import ipykernel; print(ipykernel.__version__); print("5dc3a68c-e34e-4080-9c3e-2a532b2ccb4d"); print(ipykernel.__file__)" p:\396\GNW\10.01 0122\Analysis\_inProg_tdb\gnw_conda_tdb\python.exe -c "import ipykernel; print(ipykernel.__version__); print("5dc3a68c-e34e-4080-9c3e-2a532b2ccb4d"); print(ipykernel.__file__)" info 10:46:47.299: Process Execution: > p:\396\GNW\10.01 0122\Analysis\_inProg_tdb\gnw_conda_tdb\python.exe -m ipykernel_launcher --ip=127.0.0.1 --stdin=9036 --control=9034 --hb=9033 --Session.signature_scheme="hmac-sha256" --Session.key=b"6afb2c50-008d-415f-bcc0-ca81b5a6b74a" --shell=9035 --transport="tcp" --iopub=9037 --f=c:\Users\Tanner.Boyle\AppData\Roaming\jupyter\runtime\kernel-v2-74568L2OjoLx7KHP2.json p:\396\GNW\10.01 0122\Analysis\_inProg_tdb\gnw_conda_tdb\python.exe -m ipykernel_launcher --ip=127.0.0.1 --stdin=9036 --control=9034 --hb=9033 --Session.signature_scheme="hmac-sha256" --Session.key=b"6afb2c50-008d-415f-bcc0-ca81b5a6b74a" --shell=9035 --transport="tcp" --iopub=9037 --f=c:\Users\Tanner.Boyle\AppData\Roaming\jupyter\runtime\kernel-v2-74568L2OjoLx7KHP2.json info 10:46:47.299: Process Execution: cwd: p:\396\GNW\10.01 0122\Analysis\_inProg_tdb\Modeling\stockcode\_tdb cwd: p:\396\GNW\10.01 0122\Analysis\_inProg_tdb\Modeling\stockcode\_tdb info 10:46:55.728: Got env vars with python p:\396\GNW\10.01 0122\Analysis\_inProg_tdb\gnw_conda_tdb\python.exe, with env var count 70 and custom env var count 66 in 9512ms info 10:46:55.728: Got env vars with python p:\396\GNW\10.01 0122\Analysis\_inProg_tdb\gnw_conda_tdb\python.exe, with env var count 70 and custom env var count 66 in 8808ms info 10:46:55.740: Got env vars with python p:\396\GNW\10.01 0122\Analysis\_inProg_tdb\gnw_conda_tdb\python.exe, with env var count 70 and custom env var count 66 in 8819ms info 10:47:29.207: ipykernel version & path 6.17.1, p:\396\GNW\10.01 0122\Analysis\_inProg_tdb\gnw_conda_tdb\lib\site-packages\ipykernel\__init__.py for p:\396\GNW\10.01 0122\Analysis\_inProg_tdb\gnw_conda_tdb\python.exe error 10:47:47.314: waitUntilUsed timed out [Error: timeout at Timeout.``` XXX ```
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