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numpy packages misses **all** functions after recent update
After installing latest python-language-server, vs intellicode misses most numpy funcions.
What happens if you use same code in plain Python file? Could you try that and supply trace log as listed in https://github.com/microsoft/python-language-server/blob/master/TROUBLESHOOTING.md#filing-an-issue - thanks!
I am having the same issue. None of numpy's functions or methods appear among auto-completion items.
Basic Information
- Microsoft Python Language Server version 0.5.45.0 + using IntelliCode
- Environment: conda, Python 3.7
Code Snippet
import numpy
x = numpy.array([1])
x.sum
Language Server Trace
Completions in file:///home/user/PolloPatches/tests/test_rotation.py at (2, 5)
Analysis version 1469 of 1 entries has started.
Analysis of tests.test_rotation (User) on depth 0 completed in 0.61 ms.
IntelliCode identified no likely completion items.
Analysis complete: 1 modules in 3.21 ms.
Analysis version 1469 of 1 entries has been completed in 0.84 ms.
Code Action in file:///home/user/PolloPatches/tests/test_rotation.py at (2, 5) - (2, 5)
Hover in file:///home/user/PolloPatches/tests/test_rotation.py at (1, 11)
Conda Environment (.yml)
name: just_numpy
channels:
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- blas=1.0=mkl
- ca-certificates=2020.1.1=0
- certifi=2020.4.5.1=py37_0
- intel-openmp=2020.0=166
- ld_impl_linux-64=2.33.1=h53a641e_7
- libedit=3.1.20181209=hc058e9b_0
- libffi=3.2.1=hd88cf55_4
- libgcc-ng=9.1.0=hdf63c60_0
- libgfortran-ng=7.3.0=hdf63c60_0
- libstdcxx-ng=9.1.0=hdf63c60_0
- mkl=2020.0=166
- mkl-service=2.3.0=py37he904b0f_0
- mkl_fft=1.0.15=py37ha843d7b_0
- mkl_random=1.1.0=py37hd6b4f25_0
- ncurses=6.2=he6710b0_0
- numpy=1.18.1=py37h4f9e942_0
- numpy-base=1.18.1=py37hde5b4d6_1
- openssl=1.1.1f=h7b6447c_0
- pip=20.0.2=py37_1
- python=3.7.7=hcf32534_0_cpython
- readline=8.0=h7b6447c_0
- setuptools=46.1.3=py37_0
- six=1.14.0=py37_0
- sqlite=3.31.1=h7b6447c_0
- tk=8.6.8=hbc83047_0
- wheel=0.34.2=py37_0
- xz=5.2.5=h7b6447c_0
- zlib=1.2.11=h7b6447c_3
prefix: /home/user/anaconda3/envs/just_numpy
Can you please attach complete log with "python.analysis.logLevel": "Trace"?
I set the log level to trace and got the log that I included in my message above. I didn't see any additional information.
Complete log includes LS startup, configuration, etc. Like
[Info - 10:11:10 AM] GetCurrentSearchPaths C:\Python3\python.exe
[Info - 10:11:10 AM] Interpreter search paths:
[Info - 10:11:10 AM] c:\python3\dlls
[Info - 10:11:10 AM] c:\python3\lib
[Info - 10:11:10 AM] c:\python3
[Info - 10:11:10 AM] c:\users\...\appdata\roaming\python\python36\site-packages
[Info - 10:11:10 AM] c:\python3\lib\site-packages
[Info - 10:11:10 AM] User search paths:
[Info - 10:11:16 AM] Initializing for C:\Python3\python.exe
[Info - 10:11:16 AM] Analysis caching mode: None.
Analysis version 1469 of 1 entries has started. looks like analysis is complete - so we'd like to see how did it run from the start.
[Info - 12:49:44 PM] Analysis cache path: /home/user/.cache/Microsoft/Python Language Server
[Info - 12:49:44 PM] Microsoft Python Language Server version 0.5.45.0
[Info - 12:49:44 PM] Workspace root: /home/user/PolloPatches
[Info - 12:49:44 PM] GetCurrentSearchPaths /home/user/anaconda3/envs/hardnet/bin/python
[Info - 12:49:44 PM] Interpreter search paths:
[Info - 12:49:44 PM] /home/user/anaconda3/envs/hardnet/lib/python3.7
[Info - 12:49:44 PM] /home/user/anaconda3/envs/hardnet/lib/python3.7/lib-dynload
[Info - 12:49:44 PM] /home/user/anaconda3/envs/hardnet/lib/python3.7/site-packages
[Info - 12:49:44 PM] /home/user/liveplot/src
[Info - 12:49:44 PM] /home/user/HardNet/src
[Info - 12:49:44 PM] /home/user/PhotoSynth/src
[Info - 12:49:44 PM] /home/user/Hpatches
[Info - 12:49:44 PM] /home/user/retina_parser/src
[Info - 12:49:44 PM] /home/user/DataSets
[Info - 12:49:44 PM] /home/user/d2-net
[Info - 12:49:44 PM] /home/user/r2d2/src
[Info - 12:49:44 PM] User search paths:
[Info - 12:49:46 PM] Initializing for /home/user/anaconda3/envs/hardnet/bin/python
[Info - 12:49:46 PM] Analysis caching mode: None.
[Error - 12:54:48 PM] Request textDocument/documentHighlight failed.
Message: Specified argument was out of the range of valid values. (Parameter 'line must be greater than or equal to 1')
Code: -32000
at Microsoft.Python.Core.Text.SourceLocation.ValidateLocation(Int32 index, Int32 line, Int32 column) in E:\A\_work\1\s\src\Core\Impl\Text\SourceLocation.cs:line 68
at Microsoft.Python.Analysis.Types.LocationInfo.get_Span() in E:\A\_work\1\s\src\Analysis\Ast\Impl\Types\Definitions\LocationInfo.cs:line 60
at Microsoft.Python.LanguageServer.Sources.DefinitionSourceBase.TryFromVariable(String name, IDocumentAnalysis analysis, SourceLocation location, Node statement, ILocatedMember& definingMember) in E:\A\_work\1\s\src\LanguageServer\Impl\Sources\DefinitionSource.cs:line 287
at Microsoft.Python.LanguageServer.Sources.DefinitionSourceBase.FindDefinition(IDocumentAnalysis analysis, SourceLocation location, ILocatedMember& definingMember) in E:\A\_work\1\s\src\LanguageServer\Impl\Sources\DefinitionSource.cs:line 106
at Microsoft.Python.LanguageServer.Sources.DocumentHighlightSource.DocumentHighlightAsync(Uri uri, SourceLocation location, CancellationToken cancellationToken) in E:\A\_work\1\s\src\LanguageServer\Impl\Sources\DocumentHighlightSource.cs:line 49
at Microsoft.Python.LanguageServer.Implementation.LanguageServer.DocumentHighlight(JToken token, CancellationToken cancellationToken) in E:\A\_work\1\s\src\LanguageServer\Impl\LanguageServer.cs:line 219
[Error - 12:55:01 PM] Request textDocument/documentHighlight failed.
Message: Specified argument was out of the range of valid values. (Parameter 'line must be greater than or equal to 1')
Code: -32000
at Microsoft.Python.Core.Text.SourceLocation.ValidateLocation(Int32 index, Int32 line, Int32 column) in E:\A\_work\1\s\src\Core\Impl\Text\SourceLocation.cs:line 68
at Microsoft.Python.Analysis.Types.LocationInfo.get_Span() in E:\A\_work\1\s\src\Analysis\Ast\Impl\Types\Definitions\LocationInfo.cs:line 60
at Microsoft.Python.LanguageServer.Sources.DefinitionSourceBase.TryFromVariable(String name, IDocumentAnalysis analysis, SourceLocation location, Node statement, ILocatedMember& definingMember) in E:\A\_work\1\s\src\LanguageServer\Impl\Sources\DefinitionSource.cs:line 287
at Microsoft.Python.LanguageServer.Sources.DefinitionSourceBase.FindDefinition(IDocumentAnalysis analysis, SourceLocation location, ILocatedMember& definingMember) in E:\A\_work\1\s\src\LanguageServer\Impl\Sources\DefinitionSource.cs:line 106
at Microsoft.Python.LanguageServer.Sources.DocumentHighlightSource.DocumentHighlightAsync(Uri uri, SourceLocation location, CancellationToken cancellationToken) in E:\A\_work\1\s\src\LanguageServer\Impl\Sources\DocumentHighlightSource.cs:line 49
at Microsoft.Python.LanguageServer.Implementation.LanguageServer.DocumentHighlight(JToken token, CancellationToken cancellationToken) in E:\A\_work\1\s\src\LanguageServer\Impl\LanguageServer.cs:line 221
[Info - 1:21:51 PM] Analysis caching mode: None.
[Info - 1:21:53 PM] Analysis cache path: /home/user/.cache/Microsoft/Python Language Server
[Info - 1:21:53 PM] Microsoft Python Language Server version 0.5.45.0
[Info - 1:21:53 PM] Workspace root: /home/user/PolloPatches
[Info - 1:21:53 PM] GetCurrentSearchPaths /home/user/anaconda3/envs/just_numpy/bin/python
[Info - 1:21:53 PM] Interpreter search paths:
[Info - 1:21:53 PM] /home/user/anaconda3/envs/just_numpy/lib/python3.7
[Info - 1:21:53 PM] /home/user/anaconda3/envs/just_numpy/lib/python3.7/lib-dynload
[Info - 1:21:53 PM] /home/user/anaconda3/envs/just_numpy/lib/python3.7/site-packages
[Info - 1:21:53 PM] User search paths:
[Info - 1:21:54 PM] Initializing for /home/user/anaconda3/envs/just_numpy/bin/python
[Info - 1:21:54 PM] Analysis caching mode: None.
[Info - 1:22:09 PM] Analysis caching mode: None.
Code Action in file:///home/user/PolloPatches/pollo_patches/utils/rotate.py at (18, 16) - (18, 16)
Code Action in file:///home/user/PolloPatches/pollo_patches/utils/rotate.py at (18, 16) - (18, 16)
Code Action in file:///home/user/PolloPatches/tests/throwaway.py at (0, 0) - (0, 0)
Code Action in file:///home/user/PolloPatches/tests/throwaway.py at (2, 5) - (2, 5)
Analysis of tests.throwaway (User) queued. Dependencies: numpy
Analysis version 1384 of 1 entries has started.
Analysis of tests.throwaway (User) on depth 0 completed in 8.75 ms.
Analysis complete: 1 modules in 15.1 ms.
Analysis version 1384 of 1 entries has been completed in 9.47 ms.
Code Action in file:///home/user/PolloPatches/tests/throwaway.py at (2, 2) - (2, 2)
Code Action in file:///home/user/PolloPatches/tests/throwaway.py at (2, 2) - (2, 2)
Analysis of tests.throwaway (User) queued. Dependencies: numpy
Analysis version 1385 of 1 entries has started.
Analysis of tests.throwaway (User) on depth 0 completed in 2.23 ms.
Analysis complete: 1 modules in 8.3 ms.
Analysis version 1385 of 1 entries has been completed in 3.3 ms.
Completions in file:///home/user/PolloPatches/tests/throwaway.py at (2, 3)
Analysis of tests.throwaway (User) queued. Dependencies: numpy
Analysis version 1386 of 1 entries has started.
Analysis of tests.throwaway (User) on depth 0 completed in 0.7 ms.
Analysis complete: 1 modules in 2.15 ms.
Analysis version 1386 of 1 entries has been completed in 0.85 ms.
IntelliCode identified 5 likely completion items.
Code Action in file:///home/user/PolloPatches/tests/throwaway.py at (2, 4) - (2, 4)
Analysis of tests.throwaway (User) queued. Dependencies: numpy
Analysis version 1387 of 1 entries has started.
Analysis of tests.throwaway (User) on depth 0 completed in 2.73 ms.
Analysis complete: 1 modules in 7.01 ms.
Analysis version 1387 of 1 entries has been completed in 3.41 ms.
Code Action in file:///home/user/PolloPatches/tests/throwaway.py at (2, 5) - (2, 5)
Code Action in file:///home/user/PolloPatches/tests/throwaway.py at (2, 5) - (2, 5)
Looks like
Message: Specified argument was out of the range of valid values. (Parameter 'line must be greater than or equal to 1')
Code: -32000
at Microsoft.Python.Core.Text.SourceLocation.ValidateLocation(Int32 index, Int32 line, Int32 column) in E:\A\_work\1\s\src\Core\Impl\Text\SourceLocation.cs:line 68
at Microsoft.Python.Analysis.Types.LocationInfo.get_Span() in E:\A\_work\1\s\src\Analysis\Ast\Impl\Types\Definitions\LocationInfo.cs:line 60
at Microsoft.Python.LanguageServer.Sources.DefinitionSourceBase.TryFromVariable(String name, IDocumentAnalysis analysis, SourceLocation location, Node statement, ILocatedMember& definingMember) in E:\A\_work\1\s\src\LanguageServer\Impl\Sources\DefinitionSource.cs:line 287
at Microsoft.Python.LanguageServer.Sources.DefinitionSourceBase.FindDefinition(IDocumentAnalysis analysis, SourceLocation location, ILocatedMember& definingMember) in E:\A\_work\1\s\src\LanguageServer\Impl\Sources\DefinitionSource.cs:line 106
crashed first launch, but its a separate issue. LS restarted, but I don't see any numpy analysis running...
Analysis of tests.throwaway (User) queued. Dependencies: numpy
Analysis version 1384 of 1 entries has started.
Analysis of tests.throwaway (User) on depth 0 completed in 8.75 ms.
Analysis complete: 1 modules in 15.1 ms.
^ here?
It says dependencies: numpy BUT there is no log for numpy. Basic import numpy for me produces very long log like
Analysis of numpy.distutils.command.egg_info (Library) on depth 5 completed for library in 0.5 ms.
Analysis of setuptools.command.install (Library) on depth 6 completed for library in 2.17 ms.
Analysis of numpy.distutils.command.install (Library) on depth 5 completed for library in 2.24 ms.
Analysis of setuptools.command.develop (Library) on depth 6 completed for library in 4.75 ms.
Analysis of numpy.distutils.command.develop (Library) on depth 5 completed for library in 0.39 ms.
Analysis of modules loop on depth 1 in 1814.87 ms:
numpy(Library)
numpy.core(Library)
numpy.lib(Library)
numpy.linalg(Library)
numpy.fft(Library)
numpy.polynomial(Library)
numpy.random(Library)
numpy.ctypeslib(Library)
numpy.ma(Library)
numpy.matrixlib(Library)
numpy.testing(Library)
numpy._pytesttester(Library)
numpy.linalg.linalg(Library)
numpy.lib.type_check(Library)
numpy.lib.index_tricks(Library)
numpy.lib.function_base(Library)
...
Do you also get auto-complete suggestions for numpy? Perhaps this is indicative of the issue I am experiencing.
For example, my vscode does not "see" numpy.testing, which is listed in your log
Your output lists a slew of extra paths. Is there a file named "numpy.py" or similar in any of those paths, such that the module is resolving to the wrong location?
Can you verify that you see numpy in /home/user/anaconda3/envs/just_numpy/lib/python3.7/site-packages?
It is in site-package
$ ls ~/anaconda3/envs/just_numpy/lib/python3.7/site-packages/ | grep numpy
numpy
numpy-1.18.1-py3.7.egg-info
Your output lists a slew of extra paths. Is there a file named "numpy.py" or similar in any of those paths, such that the module is resolving to the wrong location?
Actually I realized that the trace log included me transitioning between conda environments. Here is the log once I activated just_numpy . There are no additional paths.
[Info - 1:21:51 PM] Analysis caching mode: None.
[Info - 1:21:53 PM] Analysis cache path: /home/user/.cache/Microsoft/Python Language Server
[Info - 1:21:53 PM] Microsoft Python Language Server version 0.5.45.0
[Info - 1:21:53 PM] Workspace root: /home/user/PolloPatches
[Info - 1:21:53 PM] GetCurrentSearchPaths /home/user/anaconda3/envs/just_numpy/bin/python
[Info - 1:21:53 PM] Interpreter search paths:
[Info - 1:21:53 PM] /home/user/anaconda3/envs/just_numpy/lib/python3.7
[Info - 1:21:53 PM] /home/user/anaconda3/envs/just_numpy/lib/python3.7/lib-dynload
[Info - 1:21:53 PM] /home/user/anaconda3/envs/just_numpy/lib/python3.7/site-packages
[Info - 1:21:53 PM] User search paths:
[Info - 1:21:54 PM] Initializing for /home/user/anaconda3/envs/just_numpy/bin/python
[Info - 1:21:54 PM] Analysis caching mode: None.
[Info - 1:22:09 PM] Analysis caching mode: None.
Code Action in file:///home/user/PolloPatches/pollo_patches/utils/rotate.py at (18, 16) - (18, 16)
Code Action in file:///home/user/PolloPatches/pollo_patches/utils/rotate.py at (18, 16) - (18, 16)
Code Action in file:///home/user/PolloPatches/tests/throwaway.py at (0, 0) - (0, 0)
Code Action in file:///home/user/PolloPatches/tests/throwaway.py at (2, 5) - (2, 5)
Analysis of tests.throwaway (User) queued. Dependencies: numpy
Analysis version 1384 of 1 entries has started.
Analysis of tests.throwaway (User) on depth 0 completed in 8.75 ms.
Analysis complete: 1 modules in 15.1 ms.
Analysis version 1384 of 1 entries has been completed in 9.47 ms.
Code Action in file:///home/user/PolloPatches/tests/throwaway.py at (2, 2) - (2, 2)
Code Action in file:///home/user/PolloPatches/tests/throwaway.py at (2, 2) - (2, 2)
Analysis of tests.throwaway (User) queued. Dependencies: numpy
Analysis version 1385 of 1 entries has started.
Analysis of tests.throwaway (User) on depth 0 completed in 2.23 ms.
Analysis complete: 1 modules in 8.3 ms.
Analysis version 1385 of 1 entries has been completed in 3.3 ms.
Completions in file:///home/user/PolloPatches/tests/throwaway.py at (2, 3)
Analysis of tests.throwaway (User) queued. Dependencies: numpy
Analysis version 1386 of 1 entries has started.
Analysis of tests.throwaway (User) on depth 0 completed in 0.7 ms.
Analysis complete: 1 modules in 2.15 ms.
Analysis version 1386 of 1 entries has been completed in 0.85 ms.
IntelliCode identified 5 likely completion items.
Code Action in file:///home/user/PolloPatches/tests/throwaway.py at (2, 4) - (2, 4)
Analysis of tests.throwaway (User) queued. Dependencies: numpy
Analysis version 1387 of 1 entries has started.
Analysis of tests.throwaway (User) on depth 0 completed in 2.73 ms.
Analysis complete: 1 modules in 7.01 ms.
Analysis version 1387 of 1 entries has been completed in 3.41 ms.
Code Action in file:///home/user/PolloPatches/tests/throwaway.py at (2, 5) - (2, 5)
Code Action in file:///home/user/PolloPatches/tests/throwaway.py at (2, 5) - (2, 5)
Hm, is there a file named "numpy" in the workspace (/home/user/PolloPatches)?
- If you create completely new, empty project and import numpy, does it work?
- Same with plain python and not anaconda?
Is there a clean way to restart the language server in a workspace without having to kill VSCode?
One method is to kill the LS process; the VS Code client will restart the process up to 5 times.
Another is to switch interpreter and go back again, which (currently) forces a restart.
Adding a specific command to the extension to force a restart is an ongoing thing that'll have to be made there.
If you create completely new, empty project and import numpy, does it work?
It does! I just created an empty folder / workspace and created dummy_file.py
Here is the (very long) trace log
[Info - 4:55:16 PM] Analysis cache path: /home/user/.cache/Microsoft/Python Language Server
[Info - 4:55:16 PM] Microsoft Python Language Server version 0.5.45.0
[Info - 4:55:16 PM] Workspace root: /home/user/dummy_workspace
[Info - 4:55:16 PM] GetCurrentSearchPaths /home/user/anaconda3/envs/just_numpy/bin/python
[Info - 4:55:16 PM] Interpreter search paths:
[Info - 4:55:16 PM] /home/user/anaconda3/envs/just_numpy/lib/python3.7
[Info - 4:55:16 PM] /home/user/anaconda3/envs/just_numpy/lib/python3.7/lib-dynload
[Info - 4:55:16 PM] /home/user/anaconda3/envs/just_numpy/lib/python3.7/site-packages
[Info - 4:55:16 PM] User search paths:
[Info - 4:55:16 PM] Initializing for /home/user/anaconda3/envs/just_numpy/bin/python
[Info - 4:55:16 PM] Analysis caching mode: None.
Opening document file:///home/user/dummy_workspace/dummy_file.py
Analysis of dummy_file (User) queued. Dependencies: numpy
Code Action in file:///home/user/dummy_workspace/dummy_file.py at (1, 6) - (1, 6)
Import: numpy /home/user/anaconda3/envs/just_numpy/lib/python3.7/site-packages/numpy/__init__.py
Analysis version 1 of 1 entries has started.
Analysis of numpy (Stub) queued. Dependencies: numpy.core._multiarray_umath (stub)
Analysis of numpy.core._multiarray_umath (Stub) queued. Dependencies: sys (stub)
Analysis of sys (Stub) queued. Dependencies: types (stub), importlib.abc (stub)
Analysis of types (Stub) queued. Dependencies: sys (stub), _importlib_modulespec (stub)
Analysis of _importlib_modulespec (Stub) queued. Dependencies: abc (stub), sys (stub)
Analysis of importlib.abc (Stub) queued. Dependencies: abc (stub), os (stub), sys (stub), types (stub), _importlib_modulespec (stub)
Analysis of dummy_file (User) on depth 0 completed in 43.26 ms.
Analysis of abc (Stub) queued. Dependencies:
Analysis version 1 of 1 entries has been completed in 60.65 ms.
Analysis of numpy (Library) queued. Dependencies: numpy (stub), __future__, sys, warnings, numpy._globals, numpy.__config__, numpy.version, numpy._distributor_init, numpy.core, numpy.compat, numpy.lib, numpy.linalg, numpy.fft, numpy.polynomial, numpy.random, numpy.ctypeslib, numpy.ma, numpy.matrixlib, numpy.testing, numpy._pytesttester, mkl
Analysis version 15 of 2 entries has started.
Import: __future__ /home/user/anaconda3/envs/just_numpy/lib/python3.7/__future__.py
Analysis of __future__ (Stub) queued. Dependencies: sys (stub)
Create built-in compiled (scraped) module: sys /home/user/anaconda3/envs/just_numpy/bin/python
Import: warnings /home/user/anaconda3/envs/just_numpy/lib/python3.7/warnings.py
Import: numpy._globals /home/user/anaconda3/envs/just_numpy/lib/python3.7/site-packages/numpy/_globals.py
Analysis of warnings (Stub) queued. Dependencies: types (stub)
Import: numpy.__config__ /home/user/anaconda3/envs/just_numpy/lib/python3.7/site-packages/numpy/__config__.py
Import: numpy.version /home/user/anaconda3/envs/just_numpy/lib/python3.7/site-packages/numpy/version.py
Analysis of numpy._globals (Library) queued. Dependencies: __future__
Analysis of __future__ (Library) queued. Dependencies: __future__ (stub)
Analysis of numpy.version (Library) queued. Dependencies:
Import: numpy._distributor_init /home/user/anaconda3/envs/just_numpy/lib/python3.7/site-packages/numpy/_distributor_init.py
Import: numpy.core /home/user/anaconda3/envs/just_numpy/lib/python3.7/site-packages/numpy/core/__init__.py
Analysis of numpy._distributor_init (Library) queued. Dependencies: mkl, warnings
Analysis of os (Stub) queued. Dependencies: io (stub), sys (stub), posix (stub), os.path (stub)
Import: numpy.compat /home/user/anaconda3/envs/just_numpy/lib/python3.7/site-packages/numpy/compat/__init__.py
Import: numpy.lib /home/user/anaconda3/envs/just_numpy/lib/python3.7/site-packages/numpy/lib/__init__.py
Analysis of numpy.compat (Library) queued. Dependencies: __future__, numpy.compat._inspect, numpy.compat.py3k
Import: numpy.linalg /home/user/anaconda3/envs/just_numpy/lib/python3.7/site-packages/numpy/linalg/__init__.py
Import: numpy.fft /home/user/anaconda3/envs/just_numpy/lib/python3.7/site-packages/numpy
(and so on...)
Hm, is there a file named "numpy" in the workspace
No, there is no such file in the work space
I'm not entirely certain how to debug this without the actual workspace. numpy aliasing is the main thing to check, and switching to a fresh repo but with the same environment would hint that there's something odd in the workspace.
As @jakebailey said, something in the workspace prevents resolution of import to real numpy. What happens if you hover over numpy or try goto definition on numpy in the import?
What happens if you hover over numpy or try goto definition on numpy in the import?
Hovering over numpy renders the appropriate docstring for numpy. And "go-to-definition" takes me to /home/user/anaconda3/envs/just_numpy/lib/python3.7/site-packages/numpy/__init__.py
I'm stepping through the work space carefully, and do not see any files named numpy.py (I would certainly never name something this...)
A folder named numpy may also do it, but I'm assuming you're also checking for that. Maybe the output of tree to get the gist of how your code is laid out would help, but I'm not sure what you're comfortable sharing.
So the numpy is real since its doc string is correct. So typing numpy. right after that import yields nothing?
First of all, thank you both for your kind help and generous patience! I really appreciate it.
So typing numpy. right after that import yields nothing?
It yields nothing. Only after typing a single letter does it try to use the local namespace
Maybe the output of tree to get the gist of how your code is laid out would help
I excluded the docs/ directory for readability but did check that it does not contain any files called numpy
PolloPatches/
├── data
│ ├── mean_var.npz
│ ├── #README.md#
│ └── README.md
├── descriptor_quality
│ ├── descriptors.npz
│ ├── EO_Descriptor_Quality.md
│ └── temp.pt
├── keypoints
├── models
│ └── checkpoint_00100000.pt
├── new_models
│ └── checkpoint_00100000.pt
├── pollo_patches
│ ├── descriptors
│ │ ├── analysis.py
│ │ ├── __init__.py
│ │ └── __pycache__
│ │ ├── analysis.cpython-37.pyc
│ │ ├── calc_keypoints.cpython-37.pyc
│ │ └── __init__.cpython-37.pyc
│ ├── experiment.py
│ ├── __init__.py
│ ├── keypoints
│ │ ├── __init__.py
│ │ ├── __pycache__
│ │ │ ├── __init__.cpython-37.pyc
│ │ │ ├── sift.cpython-37.pyc
│ │ │ └── utils.cpython-37.pyc
│ │ ├── sift.py
│ │ └── utils.py
│ ├── performance_metrics.py
│ ├── __pycache__
│ │ ├── experiment.cpython-37.pyc
│ │ ├── __init__.cpython-37.pyc
│ │ ├── performance_metrics.cpython-37.pyc
│ │ ├── pytorch.cpython-37.pyc
│ │ ├── transforms.cpython-37.pyc
│ │ ├── typing.cpython-37.pyc
│ │ └── utils.cpython-37.pyc
│ ├── pytorch.py
│ ├── transforms
│ │ ├── __init__.py
│ │ ├── __pycache__
│ │ │ ├── __init__.cpython-37.pyc
│ │ │ └── _zoom.cpython-37.pyc
│ │ └── _zoom.py
│ ├── typing.py
│ ├── utils
│ │ ├── __init__.py
│ │ ├── patches.py
│ │ ├── __pycache__
│ │ │ ├── __init__.cpython-37.pyc
│ │ │ ├── patches.cpython-37.pyc
│ │ │ └── rotate.cpython-37.pyc
│ │ └── rotate.py
│ ├── utils.py
│ └── xarray
│ ├── csv.py
│ ├── datastructures.py
│ ├── __init__.py
│ ├── io.py
│ ├── __pycache__
│ │ ├── csv.cpython-37.pyc
│ │ ├── datastructures.cpython-37.pyc
│ │ ├── __init__.cpython-37.pyc
│ │ ├── io.cpython-37.pyc
│ │ └── utils.cpython-37.pyc
│ └── utils.py
├── pollo_patches.egg-info
│ ├── dependency_links.txt
│ ├── PKG-INFO
│ ├── requires.txt
│ ├── SOURCES.txt
│ └── top_level.txt
├── README.md
├── setup.py
├── tests
│ ├── conftest.py
│ ├── custom_strategies.py
│ ├── __init__.py
│ ├── __pycache__
│ │ ├── conftest.cpython-37-pytest-5.4.1.pyc
│ │ ├── conftest.cpython-37-PYTEST.pyc
│ │ ├── custom_strategies.cpython-37.pyc
│ │ ├── __init__.cpython-37.pyc
│ │ ├── test_custom_strategies.cpython-37-pytest-5.4.1.pyc
│ │ ├── test_custom_strategies.cpython-37-PYTEST.pyc
│ │ ├── test_descriptor_utils.cpython-37-pytest-5.4.1.pyc
│ │ ├── test_descriptor_utils.cpython-37-PYTEST.pyc
│ │ ├── test_performance_metrics.cpython-37-pytest-5.4.1.pyc
│ │ ├── test_performance_metrics.cpython-37-PYTEST.pyc
│ │ ├── test_pytorch.cpython-37-pytest-5.4.1.pyc
│ │ ├── test_pytorch.cpython-37-PYTEST.pyc
│ │ ├── test_rotation.cpython-37-pytest-5.4.1.pyc
│ │ ├── test_sift_keypoints.cpython-37-pytest-5.4.1.pyc
│ │ ├── test_sift_keypoints.cpython-37-PYTEST.pyc
│ │ ├── test_transforms.cpython-37-pytest-5.4.1.pyc
│ │ ├── test_transforms.cpython-37-PYTEST.pyc
│ │ ├── test_typing.cpython-37-pytest-5.4.1.pyc
│ │ ├── test_typing.cpython-37-PYTEST.pyc
│ │ ├── test_utils.cpython-37-pytest-5.4.1.pyc
│ │ ├── test_utils.cpython-37-PYTEST.pyc
│ │ ├── test_zoom.cpython-37-pytest-5.4.1.pyc
│ │ └── test_zoom.cpython-37-PYTEST.pyc
│ ├── test_custom_strategies.py
│ ├── test_descriptors
│ │ ├── __init__.py
│ │ ├── __pycache__
│ │ │ ├── __init__.cpython-37.pyc
│ │ │ └── test_analysis.cpython-37-pytest-5.4.1.pyc
│ │ └── test_analysis.py
│ ├── test_descriptor_utils.py
│ ├── test_performance_metrics.py
│ ├── test_pytorch.py
│ ├── test_rotation.py
│ ├── test_sift_keypoints.py
│ ├── test_transforms.py
│ ├── test_typing.py
│ ├── test_utils.py
│ ├── test_xarray
│ │ ├── __init__.py
│ │ ├── __pycache__
│ │ │ ├── __init__.cpython-37.pyc
│ │ │ ├── test_csv.cpython-37-pytest-5.4.1.pyc
│ │ │ ├── test_csv.cpython-37-PYTEST.pyc
│ │ │ ├── test_io.cpython-37-pytest-5.4.1.pyc
│ │ │ └── test_io.cpython-37-PYTEST.pyc
│ │ ├── test_csv.py
│ │ └── test_io.py
│ └── test_zoom.py
├── training_data
│ ├── cut0.npz
│ └── cut1.npz
└── tutorials
└── running_sift.md
I tried doing making a fresh clone and creating a new workspace for this project to no avail. Oddly enough other 3rd party libraries, including scipy, seem to work fine
So.. playing around with this more makes me think that this issue is actually associated with my conda environment. I thought that I had successfully reproduced these issues with a clean conda environment, but now I am finding otherwise.
I'm not sure if this makes any difference, but I am also using the pyright extension, which does analysis as well.
In my clean workspace with my just_numpy conda environment, I can get auto-complete on numpy to work:
With just_numpy conda env
I had also noticed that I couldn't get any intellicode to work with the hypothesis library either. However this also works (after installing via pypi) on my: just_numpy conda environment:
just_numpy env file
name: just_numpy
channels:
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- blas=1.0=mkl
- ca-certificates=2020.1.1=0
- certifi=2020.4.5.1=py37_0
- intel-openmp=2020.0=166
- ld_impl_linux-64=2.33.1=h53a641e_7
- libedit=3.1.20181209=hc058e9b_0
- libffi=3.2.1=hd88cf55_4
- libgcc-ng=9.1.0=hdf63c60_0
- libgfortran-ng=7.3.0=hdf63c60_0
- libstdcxx-ng=9.1.0=hdf63c60_0
- mkl=2020.0=166
- mkl-service=2.3.0=py37he904b0f_0
- mkl_fft=1.0.15=py37ha843d7b_0
- mkl_random=1.1.0=py37hd6b4f25_0
- ncurses=6.2=he6710b0_0
- numpy=1.18.1=py37h4f9e942_0
- numpy-base=1.18.1=py37hde5b4d6_1
- openssl=1.1.1f=h7b6447c_0
- pip=20.0.2=py37_1
- python=3.7.7=hcf32534_0_cpython
- readline=8.0=h7b6447c_0
- setuptools=46.1.3=py37_0
- six=1.14.0=py37_0
- sqlite=3.31.1=h7b6447c_0
- tk=8.6.8=hbc83047_0
- wheel=0.34.2=py37_0
- xz=5.2.5=h7b6447c_0
- zlib=1.2.11=h7b6447c_3
- pip:
- attrs==19.3.0
- hypothesis==5.10.3
- sortedcontainers==2.1.0
prefix: /home/user/anaconda3/envs/just_numpy
With hardnet conda env
hardnet env file
name: hardnet
channels:
- pytorch
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- attrs=19.3.0=py_0
- backcall=0.1.0=py37_0
- blas=1.0=mkl
- bleach=3.1.0=py37_0
- bzip2=1.0.8=h7b6447c_0
- ca-certificates=2020.1.1=0
- cairo=1.14.12=h8948797_3
- certifi=2020.4.5.1=py37_0
- cffi=1.14.0=py37h2e261b9_0
- cloudpickle=1.3.0=py_0
- cudatoolkit=10.1.243=h6bb024c_0
- cycler=0.10.0=py37_0
- cytoolz=0.10.1=py37h7b6447c_0
- dask-core=2.14.0=py_0
- dbus=1.13.12=h746ee38_0
- decorator=4.4.2=py_0
- defusedxml=0.6.0=py_0
- entrypoints=0.3=py37_0
- expat=2.2.6=he6710b0_0
- ffmpeg=4.0=hcdf2ecd_0
- fontconfig=2.13.0=h9420a91_0
- freeglut=3.0.0=hf484d3e_5
- freetype=2.9.1=h8a8886c_1
- glib=2.63.1=h5a9c865_0
- gmp=6.1.2=h6c8ec71_1
- graphite2=1.3.13=h23475e2_0
- gst-plugins-base=1.14.0=hbbd80ab_1
- gstreamer=1.14.0=hb453b48_1
- h5py=2.8.0=py37h989c5e5_3
- harfbuzz=1.8.8=hffaf4a1_0
- hdf5=1.10.2=hba1933b_1
- icu=58.2=h9c2bf20_1
- imageio=2.8.0=py_0
- importlib_metadata=1.5.0=py37_0
- intel-openmp=2019.4=243
- ipykernel=5.1.4=py37h39e3cac_0
- ipython=7.5.0=py37h39e3cac_0
- ipython_genutils=0.2.0=py37_0
- ipywidgets=7.5.1=py_0
- jasper=2.0.14=h07fcdf6_1
- jedi=0.16.0=py37_1
- jinja2=2.11.1=py_0
- joblib=0.14.1=py_0
- jpeg=9b=h024ee3a_2
- jsonschema=3.2.0=py37_0
- jupyter=1.0.0=py37_7
- jupyter_client=6.1.2=py_0
- jupyter_console=6.1.0=py_0
- jupyter_core=4.6.3=py37_0
- kiwisolver=1.1.0=py37he6710b0_0
- libedit=3.1.20181209=hc058e9b_0
- libffi=3.2.1=hd88cf55_4
- libgcc-ng=9.1.0=hdf63c60_0
- libgfortran-ng=7.3.0=hdf63c60_0
- libglu=9.0.0=hf484d3e_1
- libopencv=3.4.2=hb342d67_1
- libopus=1.3=h7b6447c_0
- libpng=1.6.37=hbc83047_0
- libsodium=1.0.16=h1bed415_0
- libstdcxx-ng=9.1.0=hdf63c60_0
- libtiff=4.1.0=h2733197_0
- libuuid=1.0.3=h1bed415_2
- libvpx=1.7.0=h439df22_0
- libxcb=1.13=h1bed415_1
- libxml2=2.9.9=hea5a465_1
- llvmlite=0.30.0=py37hd408876_0
- markupsafe=1.1.1=py37h7b6447c_0
- matplotlib=3.0.3=py37h5429711_0
- mistune=0.8.4=py37h7b6447c_0
- mkl=2019.4=243
- mkl-service=2.3.0=py37he904b0f_0
- mkl_fft=1.0.15=py37ha843d7b_0
- mkl_random=1.1.0=py37hd6b4f25_0
- nbconvert=5.6.1=py37_0
- nbformat=5.0.4=py_0
- ncurses=6.2=he6710b0_0
- networkx=2.4=py_0
- ninja=1.9.0=py37hfd86e86_0
- notebook=5.7.8=py37_0
- numba=0.46.0=py37h962f231_0
- numpy=1.16.3=py37h7e9f1db_0
- numpy-base=1.16.3=py37hde5b4d6_0
- olefile=0.46=py37_0
- opencv=3.4.2=py37h6fd60c2_1
- openssl=1.1.1g=h7b6447c_0
- pandas=1.0.3=py37h0573a6f_0
- pandoc=2.2.3.2=0
- pandocfilters=1.4.2=py37_1
- parso=0.6.2=py_0
- pcre=8.43=he6710b0_0
- pexpect=4.8.0=py37_0
- pickleshare=0.7.5=py37_0
- pillow=7.0.0=py37hb39fc2d_0
- pip=20.0.2=py37_1
- pixman=0.38.0=h7b6447c_0
- prometheus_client=0.7.1=py_0
- prompt_toolkit=2.0.9=py37_0
- ptyprocess=0.6.0=py37_0
- py-opencv=3.4.2=py37hb342d67_1
- pycparser=2.20=py_0
- pygments=2.6.1=py_0
- pyparsing=2.4.6=py_0
- pyqt=5.9.2=py37h05f1152_2
- pyrsistent=0.16.0=py37h7b6447c_0
- python=3.7.3=h0371630_0
- python-dateutil=2.8.1=py_0
- pytorch=1.5.0=py3.7_cuda10.1.243_cudnn7.6.3_0
- pytz=2019.3=py_0
- pywavelets=1.1.1=py37h7b6447c_0
- pyzmq=18.1.1=py37he6710b0_0
- qt=5.9.7=h5867ecd_1
- qtconsole=4.7.2=py_0
- qtpy=1.9.0=py_0
- readline=7.0=h7b6447c_5
- scikit-image=0.16.2=py37h0573a6f_0
- scikit-learn=0.22.1=py37hd81dba3_0
- scipy=1.4.1=py37h0b6359f_0
- send2trash=1.5.0=py37_0
- setuptools=46.1.3=py37_0
- sip=4.19.8=py37hf484d3e_0
- six=1.14.0=py37_0
- sqlite=3.31.1=h7b6447c_0
- tbb=2020.0=hfd86e86_0
- terminado=0.8.3=py37_0
- testpath=0.4.4=py_0
- tk=8.6.8=hbc83047_0
- toolz=0.10.0=py_0
- torchvision=0.6.0=py37_cu101
- tornado=6.0.4=py37h7b6447c_1
- traitlets=4.3.3=py37_0
- webencodings=0.5.1=py37_1
- wheel=0.34.2=py37_0
- widgetsnbextension=3.5.1=py37_0
- xarray=0.15.0=py_0
- xz=5.2.4=h14c3975_4
- zeromq=4.3.1=he6710b0_3
- zlib=1.2.11=h7b6447c_3
- zstd=1.3.7=h0b5b093_0
- pip:
- alabaster==0.7.12
- appdirs==1.4.3
- astroid==2.2.5
- atomicwrites==1.3.0
- babel==2.8.0
- bandit==1.6.2
- black==19.10b0
- chardet==3.0.4
- click==7.0
- colour-demosaicing==0.1.5
- colour-science==0.3.15
- coverage==4.5.3
- custom-inherit==2.2.0
- docutils==0.16
- filelock==3.0.12
- gitdb2==2.0.5
- gitpython==3.0.2
- hypothesis==4.33.0
- hypothesis-networkx==0.2.0
- idna==2.9
- imagesize==1.2.0
- importlib-metadata==0.19
- isort==4.3.21
- jupyterthemes==0.20.0
- jupytext==1.3.2
- lazy-object-proxy==1.4.2
- lesscpy==0.13.0
- mccabe==0.6.1
- more-itertools==8.2.0
- mygrad==1.5.0
- nbsphinx==0.5.1
- noggin==0.10.1
- numpydoc==0.9.2
- packaging==19.1
- pathspec==0.7.0
- pbr==5.2.0
- pluggy==0.12.0
- ply==3.11
- py==1.8.0
- pylint==2.3.1
- pytest==5.4.1
- pytest-cov==2.7.1
- pyyaml==5.1.2
- regex==2020.2.20
- requests==2.23.0
- rstcheck==3.3.1
- smmap2==2.0.5
- snowballstemmer==2.0.0
- sphinx==2.4.4
- sphinx-rtd-theme==0.4.3
- sphinxcontrib-applehelp==1.0.2
- sphinxcontrib-devhelp==1.0.2
- sphinxcontrib-htmlhelp==1.0.3
- sphinxcontrib-jsmath==1.0.1
- sphinxcontrib-qthelp==1.0.3
- sphinxcontrib-serializinghtml==1.1.4
- sphinxcontrib-websupport==1.2.1
- stevedore==1.31.0
- toml==0.10.0
- tox==3.13.2
- tox-conda==0.2.0
- tqdm==4.45.0
- typed-ast==1.4.0
- typing-extensions==3.7.4.1
- urllib3==1.25.8
- virtualenv==16.7.3
- wcwidth==0.1.7
- wrapt==1.11.2
- zipp==0.5.2
prefix: /home/user/anaconda3/envs/hardnet
Having the same issue! autocompletion works fine with a clean conda env which only has numpy, but after I installed tensorflow-gpu=1.15, the completion of numpy was inconsistent. Some basic functions like array(), didn't show up every time.
- Microsoft Python Language Server version 0.5.45.0 + using IntelliCode
- Environment: conda, Python 3.7
Most probably there is a problem analyzing modules with deep circular dependencies.
I am also having a similar problem, except that I cannot see any of the functions in numpy.random:
Here is my entire trace log attached:
Is there any update on this? I have the same issue when installing numpy in a fresh environment.
Have you tried on 0.5.51 (which I believe is in our beta channel)?
"python.analysis.downloadChannel": "beta"
Hi, using 0.5.51 I seem to get the behavior described in #2018 and by @quatsch83 above. The log is
[Info - 12:30:25 PM] Analysis cache path: /Users/sachit/Library/Caches/Microsoft/Python Language Server
[Info - 12:30:25 PM] Microsoft Python Language Server version 0.5.51.0
[Info - 12:30:25 PM] Workspace root:
[Info - 12:30:26 PM] GetCurrentSearchPaths /Users/sachit/opt/miniconda3/envs/vstest/bin/python
[Info - 12:30:26 PM] Interpreter search paths:
[Info - 12:30:26 PM] /Users/sachit/opt/miniconda3/envs/vstest/lib/python3.8
[Info - 12:30:26 PM] /Users/sachit/opt/miniconda3/envs/vstest/lib/python3.8/lib-dynload
[Info - 12:30:26 PM] /Users/sachit/opt/miniconda3/envs/vstest/lib/python3.8/site-packages
[Info - 12:30:26 PM] User search paths:
[Info - 12:30:26 PM] Initializing for /Users/sachit/opt/miniconda3/envs/vstest/bin/python
A short code block to reproduce:
import numpy as np
np.linspace()
np.arange()
np.linspace autocompletes fine and provides documentation when prompted. np.arange does not, nor does anything in np.random.
This is in a fresh environment of Python 3.8.3 64-bit with conda install numpy applied, resulting in
# packages in environment at /Users/sachit/opt/miniconda3/envs/vstest:
#
# Name Version Build Channel
blas 1.0 mkl
ca-certificates 2020.1.1 0
certifi 2020.6.20 py38_0
intel-openmp 2019.4 233
libcxx 10.0.0 1
libedit 3.1.20191231 haf1e3a3_0
libffi 3.3 h0a44026_1
libgfortran 3.0.1 h93005f0_2
mkl 2019.4 233
mkl-service 2.3.0 py38hfbe908c_0
mkl_fft 1.1.0 py38hc64f4ea_0
mkl_random 1.1.1 py38h959d312_0
ncurses 6.2 h0a44026_1
numpy 1.18.5 py38h1da2735_0
numpy-base 1.18.5 py38h3304bdc_0
openssl 1.1.1g h1de35cc_0
pip 20.1.1 py38_1
python 3.8.3 h26836e1_1
readline 8.0 h1de35cc_0
setuptools 47.3.1 py38_0
six 1.15.0 py_0
sqlite 3.32.3 hffcf06c_0
tk 8.6.10 hb0a8c7a_0
wheel 0.34.2 py38_0
xz 5.2.5 h1de35cc_0
zlib 1.2.11 h1de35cc_3
as the environment.
Happy to provide any other information you need to help resolve this.