Pylance is using over 100% CPU.

Environment data

Language Server version: 2020.7.4 (pyright a65343ef)
OS and version: MacOS 10.15.6
Python version (& distribution if applicable, e.g. Anaconda): pyenv virtual env, 3.7.6.

Expected behaviour
Using 10% - 30% of CPU. Or use 100% for a little while then reduce CPU usage to around 20%.
Actual behaviour
Always using over 100% of CPU.
How to reproduce

Open Vscode Process Explorer, a process named electron_node bundle.js is using around 110% CPU.

Disable Pylance, then reload. The above process disappeared, and Vscode cpu usage drops to around 10%.

Enable Pylance, then reload. electron_node bundle.js appears again and is using around 110% CPU.

Logs
A small chunk of the logs:
[BG]     binding: /Users/YANG/.vscode/extensions/ms-python.vscode-pylance-2020.7.4/server/typeshed-fallback/stdlib/3/typing.pyi (2ms)
[BG]     parsing: /Users/YANG/.pyenv/versions/api-test/lib/python3.7/site-packages/starlette/routing.py (15ms)
[BG]     binding: /Users/YANG/.pyenv/versions/api-test/lib/python3.7/site-packages/starlette/routing.py (2ms)
[BG]   checking: /Users/YANG/dev/dev/xaipient/api-test/app/main.py (87ms)
[BG] analyzing: /Users/YANG/dev/dev/xaipient/api-test/app/main.py (127ms)
[BG] analyzing: /Users/YANG/dev/dev/xaipient/api-test/app/main.py ...
[BG]   parsing: /Users/YANG/dev/dev/xaipient/api-test/app/main.py (12ms)
[BG]   parsing: /Users/YANG/.vscode/extensions/ms-python.vscode-pylance-2020.7.4/server/typeshed-fallback/stdlib/2and3/builtins.pyi (19ms)
[BG]   binding: /Users/YANG/.vscode/extensions/ms-python.vscode-pylance-2020.7.4/server/typeshed-fallback/stdlib/2and3/builtins.pyi (8ms)
[BG]   binding: /Users/YANG/dev/dev/xaipient/api-test/app/main.py (0ms)
[BG]   checking: /Users/YANG/dev/dev/xaipient/api-test/app/main.py ...
[BG]     parsing: /Users/YANG/.pyenv/versions/api-test/lib/python3.7/site-packages/uvicorn/__init__.py (3ms)
[BG]     binding: /Users/YANG/.pyenv/versions/api-test/lib/python3.7/site-packages/uvicorn/__init__.py (0ms)
[BG]     parsing: /Users/YANG/.pyenv/versions/api-test/lib/python3.7/site-packages/fastapi/__init__.py (1ms)
[BG]     binding: /Users/YANG/.pyenv/versions/api-test/lib/python3.7/site-packages/fastapi/__init__.py (0ms)
[BG]     parsing: /Users/YANG/.pyenv/versions/api-test/lib/python3.7/site-packages/fastapi/applications.py (25ms)
[BG]     binding: /Users/YANG/.pyenv/versions/api-test/lib/python3.7/site-packages/fastapi/applications.py (1ms)
[BG]     parsing: /Users/YANG/.pyenv/versions/api-test/lib/python3.7/site-packages/starlette/applications.py (3ms)
[BG]     binding: /Users/YANG/.pyenv/versions/api-test/lib/python3.7/site-packages/starlette/applications.py (1ms)
[BG]     parsing: /Users/YANG/.pyenv/versions/api-test/lib/python3.7/site-packages/fastapi/middleware/cors.py (1ms)
[BG]     binding: /Users/YANG/.pyenv/versions/api-test/lib/python3.7/site-packages/fastapi/middleware/cors.py (0ms)
[BG]     parsing: /Users/YANG/.pyenv/versions/api-test/lib/python3.7/

10 minutes later
site-packages/fastapi/__init__.py (2ms)
[BG]     binding: /Users/YANG/.pyenv/versions/api-test/lib/python3.7/site-packages/fastapi/__init__.py (0ms)
[BG]     parsing: /Users/YANG/.pyenv/versions/api-test/lib/python3.7/site-packages/fastapi/applications.py (21ms)
[BG]     binding: /Users/YANG/.pyenv/versions/api-test/lib/python3.7/site-packages/fastapi/applications.py (1ms)
[BG]     parsing: /Users/YANG/.pyenv/versions/api-test/lib/python3.7/site-packages/starlette/applications.py (3ms)

Not that binding: .../fastapi/__init__.py (0ms) appeared at least twice.
It keeps logging for around 20 minutes and it's not stopping. Indeed I have a huge amount of dependencies, but is there a caching mechanism I can enable so that it doesn't always use 100% of CPU?
Code Snippet / Additional information
No code involved.

XXX

Thanks for the bug report. A few follow-up questions:

Can you provide more information about what you are doing when the CPU usage spikes? Do you have any python files open?
If you close all files, then close and re-open your workspace, then open a single python file, does the problem occur? Is the high CPU utilization triggered by a particular source file?
Are you actively editing python code (invoking the language server for completion suggestions, for example) when you see this behavior?
Do you have the python.analysis.diagnosticMode set to "openFilesOnly" or "workspace"? If it's set to "workspace", does your workspace include a large number of python source files (>5000)?
When the high CPU utilization occurs, do you see a spinner in the bottom status bar indicating that Pylance is actively analyzing types?
Does the problem go away if you turn off python.analysis.useLibraryCodeForTypes? It's possible that you have a very large number of complex imports that contain very few type annotations, so Pylance is having to do a large amount of work to infer these types. If you can install stubs for some of the larger packages, that could help.

Pylance already contains an in-memory caching mechanism, but it eventually needs to empty the cache if it exceeds ~1GB in size to avoid overflowing the heap. If you're analyzing all of the code in a very large code base, it can exceed this level.

Thank you for your prompt response!

Can you provide more information about what you are doing when the CPU usage spikes? Do you have any python files open?

Yes, I have one file open. It won't occur if I don't have any python file open. It doesn't matter which one or how many. When I was printing the log, one random file is open, which has around 100 lines of code.

If you close all files, then close and re-open your workspace, then open a single python file, does the problem occur? Is the high CPU utilization triggered by a particular source file?

If I close all files, the logs still keep printing. It can get triggered by any open file.

Are you actively editing python code (invoking the language server for completion suggestions, for example) when you see this behavior?

No, I'm not editing. I just opened a random file for the purpose of bug-reporting.

Do you have the python.analysis.diagnosticMode set to "openFilesOnly" or "workspace"? If it's set to "workspace", does your workspace include a large number of python source files (>5000)?

python.analysis.diagnosticMode is not configured. However, I only have one project (one Vs Code window) open, and Pylance starts logging only after I open the first file.

When the high CPU utilization occurs, do you see a spinner in the bottom status bar indicating that Pylance is actively analyzing types?

I don't see any spinner in the status bar. Only the output window is indicating that Pylance is analyzing.

Does the problem go away if you turn off python.analysis.useLibraryCodeForTypes? It's possible that you have a very large number of complex imports that contain very few type annotations, so Pylance is having to do a large amount of work to infer these types. If you can install stubs for some of the larger packages, that could help.

Previously I don't have python.analysis.useLibraryCodeForTypes configured. After seeing your suggestion I set it to false and left Vscode printing for 5 minutes. Unfortunately, the problem doesn't seem to go away.

Pylance already contains an in-memory caching mechanism, but it eventually needs to empty the cache if it exceeds ~1GB in size to avoid overflowing the heap. If you're analyzing all of the code in a very large code base, it can exceed this level.

The size of my virtual env is around 2GB. Plus, is there any on-disk caching, so that it doesn't run all the analysis again after I close and re-open Vs Code?

Thanks for the additional details — much appreciated! This is a problem we haven't seen before, so I'm very interested in getting to the bottom of it.
Based on the symptoms you're describing, I can conclude the following:

Since you are able to repro the problem with useLibraryCodeForTypes disabled, the issue must occur when evaluating a type in one of the source files within your workspace.
Since you are able to repro it by opening many different files, the problematic file must be a really core one — one that is defining a type that is used by many other files.

By any chance, is your project open-source (e.g. available on github)? If so, I could try to repro the problem locally. If not, I'll need to ask you to help me narrow down the problem.
Here's what I recommend as the next steps. Create a temporary "temp.py" file somewhere in your source base. Leave it empty for now. Close all files except for this one, then close and re-open VS Code. See if the problem occurs. I predict that it won't.
Next, open another source file — one that triggers the high CPU utilization. Copy its contents into temp.py. Delete all of the code except for the imports at the top. Close all of the files except for temp.py, and repeat the experiment. If it triggers the problem, binary search the list of imports (i.e. delete half of them) and repeat until you find the import that causes the problem. If you don't see the problem with only the imports, then try binary searching the code beneath the imports (i.e. add back half of the classes/functions/methods and see if that causes the problem to re-appear).

Thank you! I'm trying to track it down as well. Interesting problem.

Based on the symptoms you're describing, I can conclude the following:
Since you are able to repro the problem with useLibraryCodeForTypes disabled, the issue must occur when evaluating a type in one of the source files within your workspace.

Wow, man, your deduction is precise! I have checked out a remote library and installed it as an egg in my workspace! And I'm importing that library from almost any file.
Unfortunately, the project is not open source. I tried to create a minimal demo to reproduce the same problem but still in the working process.
Anyway, my problem is likely caused by the egg installed in my local workspace. I'll move it away, and I believe that will solve my problem.
Thank you again for all your help. And I think this is not a Pylance issue. Sorry for the false alarm.

OK, that's a great find.
I still suspect this might be a bug in Pylance. It shouldn't get into a situation where it's using >100% CPU for long stretches of time. There must be something about that code (e.g. a difficult control flow construct) that it's struggling to analyze.
By any chance, is the remote library you installed available as open source? If so, I could try to replicate what you did.

i can reproduce this issue easily.  when i remove site-packages from workspace, the issue cannot be reproduced.

I am experiencing the same issues with the latest Python &Pylance plugin without virutal env.
In my case, source folders are added to the %PYTHONPATH% prior starting VSC.

with this settings in a testproject i have no problems:
{
    "editor.tabSize": 4,
    "editor.insertSpaces": true,
    "editor.detectIndentation": false,
    "editor.formatOnSave": true,
    "[robot]": {
        "editor.tabSize": 2
    },
    "[xml]": {
        "editor.tabSize": 2
    },
    "[javascript]": {
        "editor.tabSize": 2
    },
    "[json]": {
        "editor.tabSize": 2
    },
    "[python]": {
        "editor.tabSize": 4,
        "editor.formatOnSave": true,
        "editor.formatOnPaste": false,
        "editor.codeActionsOnSave": {
            "source.organizeImports": true
        }
    },
    "files.associations": {
        "*.zcml": "xml"
    },
    "files.exclude": {
        "**/*.py[co]": true,
        "**/*.so": true,
        "**/__pycache__": true
    },
    "files.watcherExclude": {
        "**/.git/objects/**": true,
        "**/.git/subtree-cache/**": true,
        "**/node_modules/*/**": true
    },
    "python.analysis.cachingLevel": "Library",
    "python.analysis.extraPaths": [
        "/opt/test/vs/parts/omelette",
        "/opt/test/vs/src/collective.myaddon/src"
    ],
    "python.autoComplete.extraPaths": [
        "/opt/test/vs/parts/omelette",
        "/opt/test/vs/src/collective.myaddon/src"
    ],
    "python.formatting.blackPath": "/opt/test/vs/bin/black",
    "python.formatting.blackArgs": [
        "--line-length",
        "88",
        "-t",
        "py38"
    ],
    "python.formatting.provider": "black",
    "python.linting.enabled": true,
    "python.linting.pylintEnabled": false,
    "python.linting.flake8Args": [
        "--max-line-length=88",
        "--max-complexity=18",
    ],
    "python.linting.flake8Enabled": true,
    "python.linting.flake8Path": "/opt/test/vs/bin/flake8",
    "python.terminal.activateEnvironment": true
}

The high CPU utilization is caused by a new indexer that was added in the latest release of Pylance. It runs at startup and indexes all of your site-packages and workspace files so it can support auto-import. We're looking at ways to improve it so it doesn't consume so many resources.

I have noticed the Pylance - autocomplete along the Python Extension is taking very long time to start once Vs Code is launched since the versions pushed since August 2020

I've got the same issue on a machine with a Plone installation. 5 or 6 threads are running the command rg with several parameters and are showing a 99.9% IO usage with iotop. I had to uninstall Pylance again to let the machine breath again.
I highly appreciate a fast fix for this.

I've got the same issue on a machine with a Plone installation. 5 or 6 threads are running the command rg with several parameters and are showing a 99.9% IO usage with iotop. I had to uninstall Pylance again to let the machine breath again.
I highly appreciate a fast fix for this.

Pylance doesn't run ripgrep; VS Code's search I believe does, but I know for certain the only external tool we run is Python itself. It must be another extension or the editor itself.
This thread was mainly about a new indexer, which is currently disabled in Pylance (and being improved before we enable it again).

Okay, but why did it stop to consume IO resources as soon as I downgraded Pylance to a version before August? I did not change anything else.

@NicolasGoeddel Are you still experiencing this on the latest (2020.10.2)? We've made some perf fixes in the last couple releases.

I have the same issue in the latest version of Vscode e Pylance.

@vnikoofard would you be able to enable trace logging and share the output with us? This would help our team investigate what might the issue might be.

In the Python Language Server appears the following growing output:
[Info  - 10:41:53 PM] Pylance language server 2020.11.1 (pyright 54be42d2) starting
[Info  - 10:41:53 PM] Server root directory: /home/vahid/.vscode/extensions/ms-python.vscode-pylance-2020.11.1/dist
[Info  - 10:41:55 PM] Setting pythonPath for service "": "/home/vahid/miniconda3/bin/python"
Search paths found for configured python interpreter:
/home/vahid/miniconda3/lib/python3.7
/home/vahid/miniconda3/lib/python3.7/lib-dynload
/home/vahid/miniconda3/lib/python3.7/site-packages
[Error - 10:41:55 PM] stubPath typings is not a valid directory.
[Info  - 10:41:55 PM] Assuming Python version 3.7
[Info  - 10:41:55 PM] Assuming Python platform Linux
[Info  - 10:41:55 PM] Searching for source files
[Info  - 10:41:55 PM] No source files found.
[Info  - 10:41:56 PM] Background analysis(1) root directory: /home/vahid/.vscode/extensions/ms-python.vscode-pylance-2020.11.1/dist
[Info  - 10:41:56 PM] Background analysis(1) started
Background analysis message: setConfigOptions
Background analysis message: setTrackedFiles
Background analysis message: markAllFilesDirty
Background analysis message: setFileOpened
Background analysis message: setFileOpened
Background analysis message: markFilesDirty
Background analysis message: analyze
[BG(1)] analyzing: /tmp/tmp-82042NhTZgDZg9dXI.py ...
[BG(1)]   parsing: /tmp/tmp-82042NhTZgDZg9dXI.py (192ms)
[BG(1)]   parsing: /home/vahid/.vscode/extensions/ms-python.vscode-pylance-2020.11.1/dist/typeshed-fallback/stdlib/3/builtins.pyi [fs read 17ms] (503ms)
[BG(1)]   binding: /home/vahid/.vscode/extensions/ms-python.vscode-pylance-2020.11.1/dist/typeshed-fallback/stdlib/3/builtins.pyi (89ms)
[BG(1)]   binding: /tmp/tmp-82042NhTZgDZg9dXI.py (1ms)
[BG(1)]   checking: /tmp/tmp-82042NhTZgDZg9dXI.py ...
[BG(1)]     parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/plotting/init.py [fs read 1ms] (41ms)
[BG(1)]     binding: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/plotting/init.py (1ms)
[BG(1)]     parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/plotting/plot.py [fs read 14ms] (628ms)
[BG(1)]     binding: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/plotting/plot.py (129ms)
[BG(1)]     parsing: /home/vahid/.vscode/extensions/ms-python.vscode-pylance-2020.11.1/dist/typeshed-fallback/stdlib/3/typing.pyi [fs read 14ms] (255ms)
[BG(1)]     binding: /home/vahid/.vscode/extensions/ms-python.vscode-pylance-2020.11.1/dist/typeshed-fallback/stdlib/3/typing.pyi (56ms)
[BG(1)]     parsing: /home/vahid/.vscode/extensions/ms-python.vscode-pylance-2020.11.1/dist/typeshed-fallback/stdlib/2and3/_typeshed/init.pyi [fs read 1ms] (15ms)
[BG(1)]     binding: /home/vahid/.vscode/extensions/ms-python.vscode-pylance-2020.11.1/dist/typeshed-fallback/stdlib/2and3/_typeshed/init.pyi (3ms)
[BG(1)]     parsing: /home/vahid/.vscode/extensions/ms-python.vscode-pylance-2020.11.1/dist/typeshed-fallback/third_party/2and3/typing_extensions.pyi [fs read 1ms] (11ms)
[BG(1)]     binding: /home/vahid/.vscode/extensions/ms-python.vscode-pylance-2020.11.1/dist/typeshed-fallback/third_party/2and3/typing_extensions.pyi (2ms)
[BG(1)]     parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/init.py [fs read 1ms] (109ms)
[BG(1)]     binding: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/init.py (26ms)
[BG(1)]     parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/core/init.py [fs read 0ms] (6ms)
[BG(1)]     binding: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/core/init.py (3ms)
[BG(1)]     parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/core/sympify.py [fs read 1ms] (94ms)
[BG(1)]     binding: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/core/sympify.py (8ms)
[BG(1)]     parsing: /home/vahid/.vscode/extensions/ms-python.vscode-pylance-2020.11.1/dist/typeshed-fallback/stdlib/3/inspect.pyi [fs read 1ms] (49ms)
[BG(1)]     binding: /home/vahid/.vscode/extensions/ms-python.vscode-pylance-2020.11.1/dist/typeshed-fallback/stdlib/3/inspect.pyi (8ms)
[BG(1)]     parsing: /home/vahid/.vscode/extensions/ms-python.vscode-pylance-2020.11.1/dist/typeshed-fallback/stdlib/3/abc.pyi [fs read 1ms] (2ms)
[BG(1)]     binding: /home/vahid/.vscode/extensions/ms-python.vscode-pylance-2020.11.1/dist/typeshed-fallback/stdlib/3/abc.pyi (1ms)
[BG(1)]     parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/init.py [fs read 0ms] (42ms)
[BG(1)]     binding: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/init.py ...
[BG(1)]       parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/init.py [fs read 1ms] (75ms)
[BG(1)]       binding: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/init.py ...
[BG(1)]         parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/numeric.py [fs read 1ms] (171ms)
[BG(1)]         binding: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/numeric.py ...
[BG(1)]           parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/umath.py [fs read 4ms] (14ms)
[BG(1)]           binding: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/umath.py (1ms)
[BG(1)]           parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/numerictypes.py [fs read 1ms] (78ms)
[BG(1)]           binding: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/numerictypes.py (35ms)
[BG(1)]           parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/fromnumeric.py [fs read 4ms] (359ms)
[BG(1)]           binding: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/fromnumeric.py (238ms)
[BG(1)]           parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/arrayprint.py [fs read 24ms] (236ms)
[BG(1)]           binding: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/arrayprint.py (145ms)
[BG(1)]           parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/_asarray.py [fs read 5ms] (9ms)
[BG(1)]           binding: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/_asarray.py (1ms)
[BG(1)]           parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/_ufunc_config.py [fs read 4ms] (24ms)
[BG(1)]           binding: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/_ufunc_config.py (3ms)
[BG(1)]         binding: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/numeric.py (1190ms)
[BG(1)]         parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/records.py [fs read 0ms] (101ms)
[BG(1)]         binding: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/records.py (32ms)
[BG(1)]         parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/memmap.py [fs read 1ms] (134ms)
[BG(1)]         binding: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/memmap.py (9ms)
[BG(1)]         parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/function_base.py [fs read 2ms] (42ms)
[BG(1)]         binding: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/function_base.py (12ms)
[BG(1)]         parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/machar.py [fs read 22ms] (77ms)
[BG(1)]         binding: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/machar.py (13ms)
[BG(1)]         parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/getlimits.py [fs read 0ms] (31ms)
[BG(1)]         binding: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/getlimits.py (8ms)
[BG(1)]         parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/shape_base.py [fs read 6ms] (182ms)
[BG(1)]         binding: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/shape_base.py (13ms)
[BG(1)]         parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/einsumfunc.py [fs read 1ms] (125ms)
[BG(1)]         binding: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/einsumfunc.py (20ms)
[BG(1)]       binding: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/init.py (2173ms)
[Info  - 10:42:01 PM] [BG(1)] Long operation: binding: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/core/init.py (2173ms)
[BG(1)]       parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/lib/init.py [fs read 0ms] (14ms)
[BG(1)]       binding: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/lib/init.py ...
[BG(1)]         parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/lib/type_check.py [fs read 1ms] (15ms)
[BG(1)]         binding: /home/vahid/miniconda3/lib/python3.7/site-packages/numpy/lib/type_check.py (3ms)
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Loaded ONNX runtime. Creating IntelliCode session...
2020-11-12 22:44:05.059010062 [I:onnxruntime:, inference_session.cc:174 ConstructorCommon] Creating and using per session threadpools since use_per_session_threads is true
2020-11-12 22:44:05.066718149 [I:onnxruntime:, inference_session.cc:840 Initialize] Initializing session.
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[BG(1)]     parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/calculus/singularities.py [fs read 0ms] (3ms)
[BG(1)]     binding: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/calculus/singularities.py (1ms)
[BG(1)]     parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/solvers/decompogen.py [fs read 5ms] (6ms)
[BG(1)]     binding: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/solvers/decompogen.py (1ms)
[BG(1)]     parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/core/mod.py [fs read 0ms] (3ms)
[BG(1)]     binding: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/core/mod.py (1ms)
[BG(1)]     parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/sets/handlers/union.py [fs read 1ms] (5ms)
[BG(1)]     binding: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/sets/handlers/union.py (1ms)
[BG(1)]     parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/multipledispatch/init.py [fs read 0ms] (1ms)
[BG(1)]     binding: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/multipledispatch/init.py (0ms)
[BG(1)]     parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/multipledispatch/core.py [fs read 0ms] (1ms)
[BG(1)]     binding: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/multipledispatch/core.py (1ms)
[BG(1)]     parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/multipledispatch/dispatcher.py [fs read 1ms] (3ms)
[BG(1)]     binding: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/multipledispatch/dispatcher.py (1ms)
[BG(1)]     parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/sets/handlers/intersection.py [fs read 1ms] (9ms)
[BG(1)]     binding: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/sets/handlers/intersection.py (4ms)
[BG(1)]     parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/sets/fancysets.py [fs read 1ms] (12ms)
[BG(1)]     binding: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/sets/fancysets.py (4ms)
[BG(1)]     parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/sets/conditionset.py [fs read 1ms] (2ms)
[BG(1)]     binding: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/sets/conditionset.py (1ms)
[BG(1)]     parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/sets/setexpr.py [fs read 5ms] (6ms)
[BG(1)]     binding: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/sets/setexpr.py (0ms)
[BG(1)]     parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/sets/handlers/functions.py [fs read 1ms] (3ms)
[BG(1)]     binding: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/sets/handlers/functions.py (2ms)
[BG(1)]     parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/sets/contains.py [fs read 0ms] (0ms)
[BG(1)]     binding: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/sets/contains.py (0ms)
[BG(1)]     parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/ntheory/residue_ntheory.py [fs read 1ms] (11ms)
[BG(1)]     binding: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/ntheory/residue_ntheory.py (4ms)
[BG(1)]     parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/ntheory/modular.py [fs read 1ms] (2ms)
[BG(1)]     binding: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/ntheory/modular.py (1ms)
[BG(1)]     parsing: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/polys/galoistools.py [fs read 1ms] (17ms)
[BG(1)]     binding: /home/vahid/miniconda3/lib/python3.7/site-packages/sympy/polys/galoistools.py (5ms)
[BG(1)]   checking: /tmp/tmp-820420dimj9i0GFrJ.py (517483ms)
[Info  - 10:50:52 PM] [BG(1)] Long operation: checking: /tmp/tmp-820420dimj9i0GFrJ.py (517483ms)
[BG(1)] analyzing: /tmp/tmp-820420dimj9i0GFrJ.py (517585ms)
[Info  - 10:50:52 PM] [BG(1)] Long operation: analyzing: /tmp/tmp-820420dimj9i0GFrJ.py (517585ms)
Background analysis message: setFileOpened
Background analysis message: getDiagnosticsForRange
Background analysis message: getSemanticTokens
[BG(1)] parsing: /tmp/tmp-82042NhTZgDZg9dXI.py (0ms)
[BG(1)] binding: /tmp/tmp-82042NhTZgDZg9dXI.py (0ms)
Background analysis message: analyze
[BG(1)] analyzing: /tmp/tmp-82042NhTZgDZg9dXI.py ...
[BG(1)]   checking: /tmp/tmp-82042NhTZgDZg9dXI.py (0ms)
[BG(1)] analyzing: /tmp/tmp-82042NhTZgDZg9dXI.py (0ms)
Background analysis message: getSemanticTokens
Background analysis message: setFileClosed
Background analysis message: analyze
Background analysis message: setFileOpened
Background analysis message: markFilesDirty
Background analysis message: analyze
Background analysis message: setFileOpened
Background analysis message: markFilesDirty
Background analysis message: analyze
[BG(1)] analyzing: /tmp/tmp-820420dimj9i0GFrJ.py ...
[BG(1)]   parsing: /tmp/tmp-820420dimj9i0GFrJ.py (19ms)
[BG(1)]   binding: /tmp/tmp-820420dimj9i0GFrJ.py (9ms)
[BG(1)]   checking: /tmp/tmp-820420dimj9i0GFrJ.py (0ms)
[BG(1)] analyzing: /tmp/tmp-820420dimj9i0GFrJ.py (28ms)
Background analysis message: setFileOpened
Background analysis message: getDiagnosticsForRange
Background analysis message: getDiagnosticsForRange
Background analysis message: getSemanticTokens
[BG(1)] parsing: /tmp/tmp-82042NhTZgDZg9dXI.py (0ms)
[BG(1)] binding: /tmp/tmp-82042NhTZgDZg9dXI.py (0ms)
Background analysis message: getSemanticTokens
Background analysis message: analyze
[BG(1)] analyzing: /tmp/tmp-820420dimj9i0GFrJ.py ...
[BG(1)]   checking: /tmp/tmp-820420dimj9i0GFrJ.py (2ms)
[BG(1)] analyzing: /tmp/tmp-820420dimj9i0GFrJ.py (2ms)
Background analysis message: getDiagnosticsForRange
Background analysis message: getSemanticTokens
Background analysis message: getSemanticTokens
Background analysis message: setFileClosed
Background analysis message: analyze
[BG(1)] analyzing: /tmp/tmp-820420dimj9i0GFrJ.py ...
[BG(1)]   checking: /tmp/tmp-820420dimj9i0GFrJ.py (1ms)
[BG(1)] analyzing: /tmp/tmp-820420dimj9i0GFrJ.py (1ms)
Background analysis message: setFileOpened
Background analysis message: setFileOpened
Background analysis message: markFilesDirty
Background analysis message: getSemanticTokens
[BG(1)] parsing: /home/vahid/Desktop/test/test.py (0ms)
[BG(1)] binding: /home/vahid/Desktop/test/test.py (0ms)
Background analysis message: getDiagnosticsForRange
Background analysis message: getSemanticTokens
Background analysis message: getDiagnosticsForRange
Background analysis message: analyze

The type analyzer is struggling with the file "tmp/tmp-820420dimj9i0GFrJ.py". It's taking 517s to complete the analysis for this module. From the name, I'm guessing that this is an auto-generated file? There must be something within it that's exercising an algorithm within the type checker that does not scale well.
Could you look at that file and see if anything is obviously atypical?

@erictraut I couldn't find the mentioned file in the tmp folder. Maybe because I disabled the "trace logging" and it was deleted automatically. I did some tests to find the origin of the issue. With a simple python script everything is normal. But when I open a jupyter notebook the CPU usage suddenly increases over 100% even without any cell being executed. Just opening the notebook cause this increase. In the log file I found below two lines with long operation
Info  - 1:01:54 PM] [BG(1)] Long operation: checking: /tmp/tmp-113753Kl59o9GoS5bs.py (489274ms)
[BG(1)] analyzing: /tmp/tmp-113753Kl59o9GoS5bs.py (489499ms)
[Info  - 1:01:55 PM] [BG(1)] Long operation: analyzing: /tmp/tmp-113753Kl59o9GoS5bs.py (489499ms)
The strange point is that this file is empty (0 bytes)!

Maybe some kind of race condition where the mentioned file got created, written to, modified and so on. Maybe it also should be deleted again but Pylance has locked it because it was just parsing it?

That wouldn't explain it. To be clear, this file isn't created by — or deleted by — pylance. I don't know who is generating it, but it must have some large, complex python code in it at some point. Pylance reads the contents of a file from start to finish in one synchronous call and performs all parsing and analysis on the in-memory copy of the file contents.

Experiencing the same.

This issue dates back months, and the previous conversation was a month ago (a few releases ago). It's unlikely that that you're experiencing the same issue as others here. We'd appreciate a new issue with the template filled out so we can get trace info.
The original issue was about the indexer, which I believe has been fixed for a while. The more recent followups appear to be about a different issue relating to a tempfile; if this is still a problem in recent releases we can open a new issue to try and track it.
I'm going to close this; in general it's not a good idea to have a single issue for "it's using a lot of CPU" as each individual case can differ significantly. This likely should have been closed once the indexer was disabled.

Thank you Jake. Yes this issue was resolved for while now. Not sure about
anything new now. Regards Tridib
On Tue, Dec 15, 2020 at 2:16 AM Jake Bailey<EMAIL_ADDRESS>wrote:

Closed #201 https://github.com/microsoft/pylance-release/issues/201.
—
You are receiving this because you commented.
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Hi there,
I still can confirm that PyLance uses 100% CPU. I'm working on Ubuntu 18.04 with VSCode 1.59 installed:
Version: 1.59.0
Commit: 379476f0e13988d90fab105c5c19e7abc8b1dea8
Datum: 2021-08-04T23:13:20.182Z
Electron: 13.1.7
Chrome: 91.0.4472.124
Node.js: 14.16.0
V8: 9.1.269.36-electron.0
Betriebssystem: Linux x64 5.4.0-65-generic

Whenever PyLance is enabled and I open a bigger Python program, it eats up 100% of the CPU and after a while the fan starts continuously running. Disabled PyLance and switched to Jedi and the problem has gone.
Regards, Thomas

@mosesontheweb, it sounds like you're encountering a different issue. We'd appreciate it if you'd file a new bug report and include logs — or even better, if the source base is in a public repo, provide repro steps. Thanks!

Hi,
Also suffering from high CPU usage from Pylance under VS Code. Any modification to a Python source file causes high CPU usage (~50 % in all cores) for ~3 mins, with syntax coloring being equally slow. I've traced it to the change from version 2021.8.1 of Pylance (that works OK) to 2021.8.2 and up (that show the issue).
From VS Code - About:
Version: 1.63.2 (system setup)
Commit: 899d46d82c4c95423fb7e10e68eba52050e30ba3
Date: 2021-12-15T09:40:02.816Z
Electron: 13.5.2
Chromium: 91.0.4472.164
Node.js: 14.16.0
V8: 9.1.269.39-electron.0
OS: Windows_NT x64 10.0.19041
Thanks & regards.

Hi,
Also suffering from high CPU usage from Pylance under VS Code. Any modification to a Python source file causes high CPU usage (~50 % in all cores) for ~3 mins, with syntax coloring being equally slow. I've traced it to the change from version 2021.8.1 of Pylance (that works OK) to 2021.8.2 and up (that show the issue).
From VS Code - About: Version: 1.63.2 (system setup) Commit: 899d46d82c4c95423fb7e10e68eba52050e30ba3 Date: 2021-12-15T09:40:02.816Z Electron: 13.5.2 Chromium: 91.0.4472.164 Node.js: 14.16.0 V8: 9.1.269.39-electron.0 OS: Windows_NT x64 10.0.19041
Thanks & regards.

hey !! me too !! exact same problem !! It started tomorrow for me ! I opened an issue on vscode but yeah it comes from pylance https://github.com/microsoft/vscode/issues/142036#issue-1122354120

Issue seems to remain until this day. Had to disable pylance since it turns my laptop into an oven

Issue seems to remain until this day. Had to disable pylance since it turns my laptop into an oven

Yes it does, it was fixed during a long time and since around two weeks the issue came back again. I Fixed it by switching to the unstable version of Pylance

I am on Github Codespaces and its killing the experience there.
A simple attempt to save a python file:

is it a public code repo?

No, but I can give you access.

Same issue on win10

@DanielHabenicht I'm experiencing a similar issue on Codespace. Everything works fine until the CPU usage surges and then the Remote Extension crashes. Did you find out a solution?

same here, pylance is a constant drain on my machine

@whateverforever. please log a new issue
see https://github.com/microsoft/pylance-release/blob/main/TROUBLESHOOTING.md#filing-an-issue
ideally with a code example.

@bschnurr I've one issue to fulfill the requirement of filing an issue. When the language server crashes, I don't have the Pylance language server option in the VSCode output. I can't manage to know where are the logs.

You should see Python Language Server output window.

@DanielHabenicht I'm experiencing a similar issue on Codespace. Everything works fine until the CPU usage surges and then the Remote Extension crashes. Did you find out a solution?

We have the same issue. I'm still looking for a solution.

@DanielHabenicht I'm experiencing a similar issue on Codespace. Everything works fine until the CPU usage surges and then the Remote Extension crashes. Did you find out a solution?

We have the same issue, although I'm only experiencing this if Codespace disconnects due to inactivity. If I leave vscode open after it disconnects, my laptops turns into an oven. I'm still looking for a solution.

I stopped using Codespaces with pylance. Locally I have a beefy enough machine.
I would recommend you build a reproduction repository and open a new issue.

When I use jupyter in VScode with the .ipynb extension and create 8 small windows to run different programs at the same time, pyalce always does file analysis and says there are 8 files being analyzed, the CPU is high. I waited for the analysis to finish, but as soon as I moved the keyboard cursor, there were 8 files that started to be analyzed, and as the window increased to 13, my computer was about to burn.
It should be that 13 files should be analyzed in just one move. I set up a server to relieve myself, but it didn't work. I thought of a lot of solutions, but I didn't solve it. Plug-ins are the latest general book when leaving a message.
pylance -----v2024.1.104(prerelease),
Python extension ---v2024.0.1
Jupyter---v2024.1.0

@Hong-DaShan, if you are still seeing this on recent Pylance builds, could you please open a new issue with repro steps? Providing your code and the packages that your code is using may also help us reproduce this issue on our side.


[FIX] adjust for python 2.7

Adaptation to fit python2.7, but without stopping python3
I intend to migrate the rest as needed

there are no patches in the other places yet - smtp, xades (?)

NACK, python 2 is dead.
http://pyfound.blogspot.com/2019/12/python-2-sunset.html


Indent code of blocks surrounded with curly braces (fix #119)

I didn't tested the code (because I didn't install the whole development environment to work on the plugin) but I believe it will work as it is a very small change :)

OK.  Thanks.  I'll test it and approve the pull if it works.

Tests well.  I took the change.

Great, Thank you! Meanwhile I was trying to set up the project to be able to rebuild intellij-haxe.jar and test it myself. Didn't succeeded yet.

@jeremyfa I had to do this recently, I can make a short video on how to setup it if you need that

@as3boyan That would be great! :D

@jeremyfa Here you go :D Hope that helps.

@as3boyan Thank you! My setup was actually correct already. The only part I was missing was about how the plugin debug works (I didn't understand why a new instance of Intellij was showing up when pressing "run" at the first place. Silly.)
Some more pull requests will probably follow soon ;)

You are welcome)

So, I've taken both pull requests.  Can we close this now?


Kibana Auth Elasticsearch 5 Support

Support for Elasticsearch 5 with updated UI.
This PR is constructed for Kibana 5.1.2, but should be able to be adjusted to any 5.x version (see item 7 below).

Updated the login image to use the Kibana logo and new color:
https://raw.githubusercontent.com/ryanlutgen/kibana-auth-elasticfence/6057d8154da438db8da2064e728e338ad9a5898a/KibanaLogin.PNG

Updated the Logout to use the built in logout icon and integrated it into the bottom nav:
https://raw.githubusercontent.com/ryanlutgen/kibana-auth-elasticfence/6057d8154da438db8da2064e728e338ad9a5898a/KibanaLogout.PNG

Restructured package.json.  There were a lot of dependencies in the gulpfile that were not called out in the package json.  Now anyone can clone this, do an npm install, and be up and running.

Restructured the gulpfile.  Because Kibana 5.x uses Webpack to build bundles to create a server instance, one cannot "hotswap" files, so the syncing mechanism does not work for what it was written for.  I removed a few dependencies and depend on gulp explicitly to copy files over.  With this, I removed the hardcoded kibana path and created a config file that anyone can use to specify a Kibana path.  Specifying this path, development can be done, and files will be copied over on builds.

I added a cleanKibana gulp task that will clean this plugin from Kibana's plugin directory.

All of the available commands are documented in the readme.

Reformatted the main authentication JS file to use ES2015 code consistently throughout.  I also restructured the login HTML slightly.

Introduced a new dependency (uuid).  The plugin is using a hardcoded value to create the cookie token.  This is a security vulnerability and prone to spoofing, so I changed it to generate a guid on server startup, so it is unique per plugin instance.

Kibana now explicitly requires the package.json version to coorespond to the Kibana version, much like how Elasticfence requires the plugin descriptors file version to match Elasticsearch's version.  Version branches will be needed and separate releases made for each Kibana version.  Either that, or anyone who wants to use the plugin can just clone the repo, modify the version, and build it themselves.

Thank You!!


Remove foreign key constraint

The foreign key constraint on the next_id column meant that we can't insert the first record, because any ID we put on next_id won't be a valid foreign key (since there's nothing in the table).
This migration removes that foreign key constraint so that we can insert the first few records and kickstart the ring.
All specs are passing.

K I think it looks good.

merge it


Update fslogix-containers-azure-files.md

Added the word "Azure" inside a parenthesis, since Azure AD DS and AD DS are two separate directory services.

@baardhermansen : Thanks for your contribution! The author(s) have been notified to review your proposed change.

Looks good; thanks @baardhermansen.


Symbol import quietly fails and does not introduce symbol binding if imported symbol isn't found

Consider this code in string.nt
int atoi(string s) {
    import neat.runtime : atoi;

    return atoi(s);
}

It imports a function with the same name as the function being written. Without the import statement, the function definition would be a recursive infinite loop.
If the imported symbol isn't found in the namespace, the import just silently fails and the function will turn into an infinite loop. Instead, the import statement should fail with a compilation error if the symbol is not found.

Fixed.


More work on QOI-10b

[x] write bits 2 by 2
[x] read bits 2 by 2
[x] decode lines in a double-buffered qoi10_rgba_t[] row, so that the stream channels and decoded channels can be different. Allocate that double-buffer with the malloc again. Only then we can support the load flags internally.
[x] speed-up opcodes in decoding loop
[x] quality: some opcode can be tweaked for a better compromise

Current numbers on the 16-bit test suite
TOTAL  decode mpps   encode mpps      bit-per-pixel
             91.41         60.13           10.56627

with 28% size reduction vs GIMP PNG zlib level 5

LOAD flags could work better with QOI formats in general
OP_ALPHA doesn't work yet but could probably win bits


i18n AMO link

Woops an important detail that I had overlooked.
Thanks for your contribution!

  Thank you for the extension!


Cannot assign to 'onRuntimeInitialized' because it is a read-only property.

onRuntimeInitialized is a read-only property., Not able to assign a function to it. Is there any way to know if the cv is initialized?
await new Promise<void>(
      (resolve) =>
        (cv['onRuntimeInitialized'] = () => {
          resolve();
        });
    );

Hey @chalapathi444 haven't dug deep into this but have you checked this closed issue? Seems close to what you are asking #33

@chalapathi444 do you see the error when compiling TypeScript to JavaScript or running JavaScript code?
It should work. See https://github.com/TechStark/opencv-js/blob/main/test/cv.ts#L6

I get the same error when parcel tries to transpile & optimize my code:

@parcel/optimizer-swc: cannot reassign to an imported binding

Also VSCode itself is warning me beforehand:

@davidjandrey-sv which version are you using? could you provide the code/demo page to show the issue?

@ttt43ttt I'm using it for my npm package: https://www.npmjs.com/package/intellicrop
I've reproduced this issue with 4.8.0-release.4 and 4.8.0-release.10. I can try to set up a demo page for you later on, but you can see the issue if you check out my package and just try to assign a new value to the onRuntimeInitialized prop anywhere.

@davidjandrey-sv I've checked your package. Here is a way that can make it work.

add "esModuleInterop": true in tsconfig.json
change import * as cv from "@techstark/opencv-js" to import cv from "@techstark/opencv-js"

@ttt43ttt Yup, that worked flawless for me, thank you very much and have a nice weekend :)


"NbtCache should not be null!" message can be spammed on client log

https://github.com/CoolMineman/BitsAndChisels/blob/e913d97f9609790b311b491cacdd58f2919f8832/src/main/java/io/github/coolmineman/bitsandchisels/BitsBlockEntity.java#L59
Especially with indium / etc

recent code has no problem!


Building ops: Replace operation [11]: Missing value

include contextual info

Fixed by https://github.com/cppforlife/go-patch/commit/5097ab27332566f622afb1549a5423ae0012b93f


Trying to download istio on Mac M1

Bug Description
I've been trying to install istio on my mac M1 for couple of days it's just getting to this point and then giving me an error.
Is that related to the macbook or is there a solution to fix it ?
Version
ahmad@MacBook-Pro-de-Ahmad istio-1.11.4 % istioctl install --set profile=demo -y
✔ Istio core installed
✔ Istiod installed
✘ Egress gateways encountered an error: failed to wait for resource: resources not ready after 5m0s: timed out waiting for the conditionsystem/istio-ingressgateway

✘ Ingress gateways encountered an error: failed to wait for resource: resources not ready after 5m0s: timed out waiting for the condition

- Pruning removed resources                                                                                Removed HorizontalPodAutoscaler:istio-system:istio-ingressgateway.
  Removed HorizontalPodAutoscaler:istio-system:istiod.
Error: failed to install manifests: errors occurred during operation

Additional Information
No response

Check your ingress gateway pod and deployment status. that should give you some hint about what's wrong.

Istio currently doesn't support arm. You may try this https://github.com/querycap/istio.

Istio currently doesn't support arm. You may try this https://github.com/querycap/istio.

@monsteredc I might be wrong, but I think the issue is not really arm support, but rather their proxy cannot become ready?

@ahmad1508 can you check the istiod an ingressgateway logs after istioctl exited.
kubectl logs <POD_NAME> -nistio-system

@bianpengyuan It could. I encountered the issue at the same progress, and it worked after setting:
spec:
  components:
    pilot:
      k8s: # each components have to set this
        affinity: &affinity
          nodeAffinity:
            requiredDuringSchedulingIgnoredDuringExecution:
              nodeSelectorTerms:
                - matchExpressions:
                    - key: kubernetes.io/arch
                      operator: In
                      values:
                        - arm64
                        - amd64
    egressGateways:
      - name: "istio-egressgateway"
        k8s:
          affinity: *affinity
    ingressGateways:
      - name: "istio-ingressgateway"
        k8s:
          affinity: *affinity

It might be the platform issue, and I'm not pretty sure. Needs more info to determine the problem.


[BUG]: Guest user Credentials not working

Describe the bug
Guest user credentials on the login page not working.
Screenshots

Desktop (please complete the following information):

Windows: [e.g. Win 11]
Browser: Chrome

Assign me this issue and also add labels of hacktoberfest, gssoc-ext etc.

/assign

Now it works see @Ahsankhalid618

Yup, Now it's working


Add sitemap

We're missing a sitemap.xml right now. That needs to be resolved.

Fixed in recent commit.


Mistake in solution for <IP_ADDRESS>

In appendix K, the tableau for the first part of exercise 5 of part A has at its right branch a negation where there shouldn't be one. With this mistake in place, the branch actually should remain open (but it does indeed close if you leave out the negation).

Thanks @607GitHub ! We spotted this in the Q&A yesterday and I fixed it already this morning in 880edad


TextField height

Is there a way to set the maximum height of a text field? It should be like a multiline textfield, but have a default height so that you can see multiple lines from the beginning and it doesn't grow with each new line.
https://i.stack.imgur.com/q84BH.gif
Something like this but with MDTextField for example in the rectangle mode.

@DaniS001 You can and use the TextInput widget from Kivy.

Is it also possible to use themes like dark and light with it?

@DaniS001 No.

Ok thanks.


feat: restore chat webview on reload

CLOSE https://github.com/sourcegraph/cody/issues/1814
This PR added support for recreating the last opened chat panel (if any) on reload.
Test plan

Build Cody from this branch
Open a chat and ask Cody a question
Reload your editor
You should see the last opened chat opened in your editor before the reload

https://github.com/sourcegraph/cody/assets/68532117/9a1136df-9162-4eb3-8661-64aaab7a98c7

Tested this worked well for me. It does a strange tab size & focus jiggle before it finally loads, but looks like that's just a VS Code quirk?

i was doing it the hacky way, but i just implemented the revive function so the webview is no longer getting disposed and then recreated 😄
Loom: https://www.loom.com/share/1b7acfa69fff4b708bde8c9f3282bdb3?sid=f89aecb4-4caf-4525-bc56-63b34e5c9369


Update file metadata with notebook interpreter and kernel info

For #8223

[x] Pull request represents a single change (i.e. not fixing disparate/unrelated things in a single PR)
[x] Title summarizes what is changing
[x] Has a news entry file (remember to thank yourself!)
[x] Appropriate comments and documentation strings in the code
[ ] Has sufficient logging.
[ ] Has telemetry for enhancements.
[x] Unit tests & system/integration tests are added/updated
[ ] Test plan is updated as appropriate
[ ] package-lock.json has been regenerated by running npm install (if dependencies have changed)
[ ] The wiki is updated with any design decisions/details.

Codecov Report

Merging #8835 into master will decrease coverage by 30.66%.
The diff coverage is n/a.

@@             Coverage Diff             @@
##           master    #8835       +/-   ##
===========================================
- Coverage   58.68%   28.01%   -30.67%
===========================================
  Files         526      303      -223
  Lines       27231    12779    -14452
  Branches     4064     1819     -2245
===========================================
- Hits        15980     3580    -12400
+ Misses      10372     9169     -1203
+ Partials      879       30      -849

Impacted Files
Coverage Δ

src/client/datascience/types.ts
100% <ø> (ø)
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src/client/providers/serviceRegistry.ts
0% <0%> (-100%)
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...lient/datascience/jupyter/jupyterSelfCertsError.ts
0% <0%> (-100%)
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src/client/interpreter/serviceRegistry.ts
0% <0%> (-100%)
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src/client/common/utils/regexp.ts
0% <0%> (-100%)
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src/client/common/utils/icons.ts
0% <0%> (-100%)
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...rc/client/common/errors/moduleNotInstalledError.ts
0% <0%> (-100%)
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src/client/debugger/constants.ts
0% <0%> (-100%)
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src/client/formatters/serviceRegistry.ts
0% <0%> (-100%)
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src/client/language/languageConfiguration.ts
0% <0%> (-100%)
:arrow_down:

... and 404 more

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Add dev doc

❗Please first review PR #16 and then this PR.
Added docs for developers.
Here is how to build html pages for the docs:
cd docs

# build the html pages
make html

# check html docs in browser
make check

# remove html pages
make clean

just one remark. I think this PR also includes the changes from the other PR right? So they will be gone when that one is merged?

 Thanks for the review 🎉


Consolidate configuration option hierarchies

We should make the options configurable via pelican.yaml more consistent and hierarchical. For example, there's an option Director.DefaultResponse that is clearly an option to configure behavior for a director instance. Elsewhere, we have options that configure the director like "MaxMindKeyFile" and "GeoIPLocation", but it's not immediately obvious from the name what service(s) these affect. I think we should make these types of configurations hierarchical so that we wind up with a config more like:
Director:
    DefaultResponse: cache
    MaxMindKeyFile: /path/to/kf
    GeoIPLocation: /path/to/location

I've been thinking about the same thing!
Can you create a spreadsheet with the following columns:

Current parameter name
Component name (or blank for top-level)
New parameter name

and take a first stab at the renaming?  Implicit in this is that I'd like to avoid deeply nested hierarchies of parameter names.
The earlier we do this, the less backward compatibility around renaming we need to do.


Add AC rupee under lilypad check

Adds the Ancient Cistern - Rupee under Lilypad check. It was previously thought that you could lock yourself out of this check but this is not true. However, I have moved the rupee further into the underwater tunnel to prevent it from getting caught up in the water stream (which made it very hard to see).
I've posted a video of how to get the check with the water stream already active in disord

Tested with a glitchless AC full-clear and all was fine. I'll merge this if nobody complains :p


[util] enableDialogMode for Codename Panzers Phase One/Two

Works around the main menu not rendering after the intro video but instead shows the last image on skip or video end.
Closes https://github.com/doitsujin/dxvk/issues/3196

Noticed the second game also had the issue


enemyposition is not reset

on a new game, so the enemies start at whatever level they were on the previous game. So if you were really good, they start pretty low and its pretty hard

Addresses here https://github.com/leerob/Space_Invaders/pull/5


preview server need bitcoind?

when i run preview server
i got the errors:
bitcoind is not found
I use the remote bitcoin , Do i need install bitcoind to run preivew
I run the ord server ,It don't need bitcoind
thanks

I have my bitcoind which is running and with cookie file specified but I got the same error.
up for solution ^^

yes, you need bitcoind for all commands.


Memo: Document behavior with useContext

It is not obvious that useContext and Memo work well together. Namely, if a child component listens to a context and updates out from under them memo'd function, does the memo'd component have the right state if re-rendered?
yes, actually, but this is undocumented. Now it's not!
Closes: #1923

Added a bit more detail and merged, thank you!


TensorFlow on ARMv7 seems to be slower

I have installed tensorflow on our custom board which is based on i.mx6 (ARMv7) processor. I have compiled the C++ module alone without python support and was able to run the "tensorflow/pi_examples/label_image"
Command used:  make -f tensorflow/contrib/makefile/Makefile HOST_OS=PI TARGET=PI
The problem is that the application seems to be very slow compared to Laptop (Intel i5). The inference takes close to 60-70s while it takes only 0.6 - 0.7s in my Laptop.
After that, I figured out that I missed to use compiler optimization flag to use Neon. I compiled with Neon support and now it takes around 10-17s for same example.
Command used: make -f tensorflow/contrib/makefile/Makefile HOST_OS=PI TARGET=PI  OPTFLAGS="-Os -mfpu=neon -funsafe-math-optimizations -ftree-vectorize"
Is there anything I am missing?
System information

Have I written custom code: No
OS Platform and Distribution: Yocto debian flavour
TensorFlow installed from:  source (27a9808)
TensorFlow version: NA
Bazel version (if compiling from source): Not used
CUDA/cuDNN version: NA
GPU model and memory: NA
Exact command to reproduce: NA

@petewarden do these number look reasonable? 20x?

It's good to see that NEON helps. It's hard to say exactly what performance you should be getting without knowing more about your model, and exactly which i.mx6 chip you're using, but a 10x slowdown on a low-power chip versus a laptop doesn't seem too crazy.

@gunasekaran7, closing since it looks like you are getting reasonable performance. If you have a more specific issue, let us know.

@petewarden, I am using i.mx6 QuadCore from NXP.

@gunasekaran7 Hi, could you please tell me how to cross-compile tensorflow c++ module on i.mx6? Thank you so much!

@Air000 , I used this link

@gunasekaran7 Thanks! I successfully ported tensorflow to i.MX6!
But I meet another issue, when I run the benchmark or label_image, it comes out with messages like "E tensorflow/core/framework/op_kernel.cc:1142]", but it also says "Running model succeeded!" at the end. I don't know what it means by "E tensorflow/core/framework/op_kernel.cc:1142".

@Air000, Were you able to see the class label output on the terminal?

@gunasekaran7, Yes, output as following:
2017-06-28 09:53:25.282150: I tensorflow/contrib/pi_examples/label_image/label_image.cc:379] Running model succeeded!
2017-06-28 09:53:25.296182: I tensorflow/contrib/pi_examples/label_image/label_image.cc:273] military uniform (866): 0.647334
2017-06-28 09:53:25.296287: I tensorflow/contrib/pi_examples/label_image/label_image.cc:273] suit (794): 0.0477206
2017-06-28 09:53:25.296338: I tensorflow/contrib/pi_examples/label_image/label_image.cc:273] academic gown (896): 0.0232351
2017-06-28 09:53:25.296390: I tensorflow/contrib/pi_examples/label_image/label_image.cc:273] bow tie (817): 0.0157328
2017-06-28 09:53:25.296439: I tensorflow/contrib/pi_examples/label_image/label_image.cc:273] bolo tie (940): 0.0144991

@Air000. then you are good to go.its working fine..


[NPM-3068] Don't listen on <IP_ADDRESS> for test dns server

What does this PR do?
Fixes failures like https://gitlab.ddbuild.io/DataDog/datadog-agent/-/jobs/428304565#L1877
Motivation

Additional Notes

Possible Drawbacks / Trade-offs

Describe how to test/QA your changes

Reviewer's Checklist

[x] If known, an appropriate milestone has been selected; otherwise the Triage milestone is set.
[x] Use the major_change label if your change either has a major impact on the code base, is impacting multiple teams or is changing important well-established internals of the Agent. This label will be use during QA to make sure each team pay extra attention to the changed behavior. For any customer facing change use a releasenote.
[x] A release note has been added or the changelog/no-changelog label has been applied.
[x] Changed code has automated tests for its functionality.
[x] Adequate QA/testing plan information is provided. Except if the qa/skip-qa label, with required either qa/done or qa/no-code-change labels, are applied.
[x] At least one team/.. label has been applied, indicating the team(s) that should QA this change.
[ ] If applicable, docs team has been notified or an issue has been opened on the documentation repo.
[ ] If applicable, the need-change/operator and need-change/helm labels have been applied.
[ ] If applicable, the k8s/<min-version> label, indicating the lowest Kubernetes version compatible with this feature.
[ ] If applicable, the config template has been updated.

/merge

/remove

/merge


Docker is out of date

Hi, good project, could you update the Dockerfile? The new version looks better!

Hey, it looks like the Dockerfile has been created by some third party. I don't think I have the permissions to update it.

Also, from its definition at https://github.com/vifortech/dockerfiles/blob/master/markdown-editor/Dockerfile, it looks like it just clones this repo so you should always get the latest version anyway. Is there something else that we want from a dockerfile here?

I've already seen that, but if you check the image, I does not correspond with the example in the link you provide in the repo.
http://jbt.github.io/markdown-editor/

What do you think is going on?


Underground groves can generate over end portals

Describe the bug
Underground groves can generate over end portals, resulting in broken strongholds.
To Reproduce
Since this bug is highly world based, I’ll leave a link to a documented instance of this happening: https://m.youtube.com/playlist?list=PL3e14exB92LIuz5CX5-QVv-4-MPC-21QZ (episode 1 shows the world creation requirements, the bug exhibits in episode 7)
Expected behavior
Groves should avoid strongholds, or at least refuse to overwrite end portal blocks.
Screenshots
See reproduction steps
System (please complete the following information):

Occultism Version: ?
OS: ?
Minecraft Version: 1.16.5
Modpack Link and Version, or list of mods: Create: Above and Beyond

Additional context
I am not affiliated with the one who found the bug, I’m just relaying the info here.

This won't be fixed in 1.16.5 (as that version only receives very limited support now), but in 1.18.
As it should be relatively rare it should not be a huge issue until most of modding has moved on to 1.18.


Add pie chart of asset owners in asset page

@cubismic Please attach screenshots when you request UI related patch.