I do have the ChronoEngine_sensor.dll file in that folder. 

I just created a new virtual environment and followed the steps 
at https://api.projectchrono.org/pychrono_installation.html in order and 
have attached a .txt file of the entire installation process including me 
trying to run a demo in the fresh environment at the end and getting the 
same error. 

Yes, I can try installing PyChrono from the C++ sources next, although I 
would still like to know why the Anaconda installation is not working for 
me.

If anything in that .txt file gives you any hints as to what my issue is 
please let me know.

Thanks so much for your help,

Jeremy
On Monday, February 13, 2023 at 10:28:05 PM UTC-4 [email protected] wrote:

> Jeremy,
>
> Do you have the ChronoEngine_sensor.dll file in the "C:\Users\<user 
> name>\anaconda3\pkgs\pychrono-8.0.0-py39_0\Library\bin" folder?
>
> I installed the same chrono build in a windows system within a conda 
> environment with python 3.9.15 and managed to run the sensor demos without 
> any issues. The issue in your build likely stems from an incomplete install 
> of any of the dependencies for the sensor module (CUDA, GLFW,...). 
>
> Would you be open to trying installing pychrono from the C++ sources? You 
> can follow the instructions in Section B of 
> https://api.projectchrono.org/pychrono_installation.html.
>
> Best,
> Nevindu
>
> On Monday, February 13, 2023 at 7:59:53 PM UTC-6 Jeremy Kimball wrote:
>
>> Thanks so much for the info Dan. Those papers look quite interesting and 
>> I'm sure that repo will be an extremely useful resource.
>>
>> Now I just need to get the sensor module to import!
>>
>> Best,
>>
>> Jeremy
>>
>> On Monday, February 13, 2023 at 9:46:42 PM UTC-4 Dan Negrut wrote:
>>
>>> Hey Jeremy - This is an interesting project.
>>>
>>> The pieces are there I think. Probably start with a demo of the HMMWV 
>>> and use rigid terrain. You can add sensors to the HMMWV model. In the past, 
>>> we also did something like this with SCM deformable terrain. For instance, 
>>> see here:
>>>
>>> “Enabling Artificial Intelligence Studies in Off-Road Mobility Through 
>>> Physics-Based Simulation of Multi-Agent Scenarios,” A. Young, J. Taves, A. 
>>> Elmquist, S. Benatti, A. Tasora, R. Serban, D. Negrut, ASME Journal on 
>>> Computational and Nonlinear Dynamics, 17(5): 051001, 2022
>>>
>>> “End-to-end learning for off-road terrain navigation using the Chrono 
>>> open-source simulation platform,” S. Benatti, A. Young, A. Elmquist, J. 
>>> Taves, A. Tasora, R. Serban, D. Negrut, Multibody System Dynamics, vol. 54, 
>>> 399–414, 2022
>>>
>>>  
>>>
>>> Beyond looking at the examples provided in demos, another place where 
>>> you can look for tidbits is here: 
>>> https://github.com/uwsbel/public-metadata .
>>>
>>> Dan
>>>
>>>  
>>>
>>> -------------------------------------------------
>>>
>>> Bernard A. and Frances M. Weideman Professor
>>>
>>> NVIDIA CUDA Fellow
>>>
>>> Director, Wisconsin Applied Computing Center 
>>>
>>> Department of Mechanical Engineering
>>>
>>> Department of Computer Science
>>>
>>> University of Wisconsin - Madison
>>>
>>> 4150ME, 1513 University Avenue
>>>
>>> Madison, WI 53706-1572
>>>
>>> 608 772 0914 <(608)%20772-0914>
>>>
>>> http://sbel.wisc.edu/
>>>
>>> http://projectchrono.org/ 
>>>
>>> -------------------------------------------------
>>>
>>>  
>>>
>>> *From:* [email protected] <[email protected]> *On 
>>> Behalf Of *Jeremy Kimball
>>> *Sent:* Monday, February 13, 2023 7:23 PM
>>> *To:* ProjectChrono <[email protected]>
>>> *Subject:* Re: [chrono] Re: PyChrono sensor import failed
>>>
>>>  
>>>
>>> Hi Dan,
>>>
>>>  
>>>
>>> Sure thing. My research is pertaining to active suspension control with 
>>> terrain preview for off-road vehicles, and so I was hoping to use Project 
>>> Chrono to play around with simulating sensor readings (LiDAR, stereo 
>>> camera) that could be used for extracting road profile information for 
>>> upcoming terrain.
>>>
>>>  
>>>
>>> The ultimate goal would be to feed that sensor data into a controller to 
>>> generate the active suspension control action. I also want to look at 
>>> reinforcement learning control methods for active suspension and was 
>>> considering using Chrono as a training environment.
>>>
>>>  
>>>
>>> Any thoughts on that?
>>>
>>>  
>>>
>>> Jeremy
>>>
>>>  
>>>
>>> On Monday, February 13, 2023 at 9:09:46 PM UTC-4 Dan Negrut wrote:
>>>
>>> Jeremy – also tell us, ball park, what you want to do.
>>>
>>> We might be able to give you one of our models, with sensors and 
>>> everything, for you to get going fast, rather than struggling to put things 
>>> together…
>>>
>>> Are you into small AVs and such? I think we have one such model all set 
>>> up, ready to go.
>>>
>>> Dan
>>>
>>>  
>>>
>>> -------------------------------------------------
>>>
>>> Bernard A. and Frances M. Weideman Professor
>>>
>>> NVIDIA CUDA Fellow
>>>
>>> Director, Wisconsin Applied Computing Center 
>>>
>>> Department of Mechanical Engineering
>>>
>>> Department of Computer Science
>>>
>>> University of Wisconsin - Madison
>>>
>>> 4150ME, 1513 University Avenue
>>>
>>> Madison, WI 53706-1572
>>>
>>> 608 772 0914 <(608)%20772-0914>
>>>
>>> http://sbel.wisc.edu/
>>>
>>> http://projectchrono.org/ 
>>>
>>> -------------------------------------------------
>>>
>>>  
>>>
>>> *From:* [email protected] <[email protected]> *On 
>>> Behalf Of *Jeremy Kimball
>>> *Sent:* Monday, February 13, 2023 6:20 PM
>>> *To:* ProjectChrono <[email protected]>
>>> *Subject:* [chrono] Re: PyChrono sensor import failed
>>>
>>>  
>>>
>>> Thanks for the response!
>>>
>>>  
>>>
>>> 1) My operating system is Windows 10 Enterprise
>>>
>>> 2) I am using Python 3.9.15
>>>
>>> 3) I specified a specific package with *conda install* 
>>> *<pychrono_package>.tar.bz2. 
>>> *I used 'pychrono 8.0.0-py39_0.tar.bz2'.
>>>
>>> 4) Yes, I have a directory called pychrono-8.0.0-py39_0.
>>>
>>>  
>>>
>>> As far as I can tell when I run "conda list" I have all of the correct 
>>> versions of the required packages. I have attached a .txt file of the 
>>> "conda list" output in the venv. Maybe there is something out of place 
>>> there that I am missing.
>>>
>>>  
>>>
>>> Any ideas / other troubleshooting steps I could take?
>>>
>>>  
>>>
>>> Thanks so much,
>>>
>>>  
>>>
>>> Jeremy
>>>
>>>  
>>>
>>> On Monday, February 13, 2023 at 7:52:04 PM UTC-4 [email protected] wrote:
>>>
>>> Hi Jeremy,
>>>
>>>  
>>>
>>> Can you please answer a few questions so I can understand your issue 
>>> better,
>>>
>>>    1. What is your Operating System?
>>>    2. Which version of Python are you using?
>>>    3. When you used conda to install Chrono, did you use * "conda 
>>>    install -c projectchrono pychrono" *command or did you specify a 
>>>    specific package with *conda install* *<pychrono_package>.tar.bz2*?
>>>    4. Go to the anaconda installation folder: In windows: 
>>>    "C:\Users\<username>\anaconda3\pkgs\", In linux: "~/anaconda3/pkgs" and 
>>> see 
>>>    if you have a directory called: *pychrono-X.0.0-py3X_XXXX. *Is the *py3X 
>>>    *version consistent with your own python version? Ex: If you have 
>>>    python 3.10, you should have a directory called: 
>>> pychrono-X.0.0-py310_XXXX.
>>>
>>> If there is a version mismatch for question 4, you need to install the 
>>> correct chrono package corresponding to your python version. Go to: 
>>> https://anaconda.org/projectchrono/pychrono/files to find the relevant 
>>> package name and use *conda install* *<pychrono_package>.tar.bz2 *to 
>>> install the package.
>>>
>>>  
>>>
>>> Also, make sure you have all the requirements listed in 
>>> https://api.projectchrono.org/pychrono_installation.html properly 
>>> installed.
>>>
>>>  
>>>
>>> Hope these steps fix your problem. Please let me know if this doesn't 
>>> work, so we can further look into it.
>>>
>>>  
>>>
>>> Best,
>>>
>>> Nevindu
>>>
>>> On Monday, February 13, 2023 at 3:46:38 PM UTC-6 Jeremy Kimball wrote:
>>>
>>> Hello everyone, 
>>>
>>>  
>>>
>>> I am relatively new to python programming and am just getting started 
>>> with PyChrono for my masters thesis research, specifically I am interested 
>>> in the sensor module. 
>>>
>>>  
>>>
>>> I have installed pychrono according to the steps outlined at: 
>>> https://api.projectchrono.org/pychrono_installation.html.
>>>
>>>  
>>>
>>> All of the demos other than the sensor ones run on my machine, however, 
>>> when I attempt to run any of the sensor demos I get an import 
>>> error: ImportError: cannot import name '_sensor' from 'pychrono'.
>>>
>>>  
>>>
>>> I have Nvidia graphics driver version 528.02 and my machine has an 
>>> Nvidia GeForce MX250 GPU. All of the packages in my venv seem to align with 
>>> the required versions as per chrono documentation.
>>>
>>>  
>>>
>>> I would also like to mention that I have only had success running the 
>>> other demos when either 1) in VSCode I paste all of the .dll chrono files 
>>> into the active folder or 2) when I run the demo scripts directly from the 
>>> anaconda prompt. 
>>>
>>>  
>>>
>>> I am hopeful that there is a simple fix here that I am overlooking or 
>>> that other users have encountered the same issue and found a solution.
>>>
>>>  
>>>
>>> Any help would be greatly appreciated.
>>>
>>>  
>>>
>>> Thanks,
>>>
>>>  
>>>
>>> Jeremy
>>>
>>> -- 
>>> You received this message because you are subscribed to the Google 
>>> Groups "ProjectChrono" group.
>>> To unsubscribe from this group and stop receiving emails from it, send 
>>> an email to [email protected].
>>> To view this discussion on the web visit 
>>> https://groups.google.com/d/msgid/projectchrono/07475c16-26a5-40e3-b563-c30b74d36c29n%40googlegroups.com
>>>  
>>> <https://groups.google.com/d/msgid/projectchrono/07475c16-26a5-40e3-b563-c30b74d36c29n%40googlegroups.com?utm_medium=email&utm_source=footer>
>>> .
>>>
>>> -- 
>>> You received this message because you are subscribed to the Google 
>>> Groups "ProjectChrono" group.
>>> To unsubscribe from this group and stop receiving emails from it, send 
>>> an email to [email protected].
>>>
>>> To view this discussion on the web visit 
>>> https://groups.google.com/d/msgid/projectchrono/20f28c6a-7755-413f-a7f7-944dafdec4cen%40googlegroups.com
>>>  
>>> <https://groups.google.com/d/msgid/projectchrono/20f28c6a-7755-413f-a7f7-944dafdec4cen%40googlegroups.com?utm_medium=email&utm_source=footer>
>>> .
>>>
>>

-- 
You received this message because you are subscribed to the Google Groups 
"ProjectChrono" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to [email protected].
To view this discussion on the web visit 
https://groups.google.com/d/msgid/projectchrono/b8874c51-8d1c-4cf6-91ea-80dc67d8ca20n%40googlegroups.com.
(base) C:\Users\jkimball>conda create -n venv python=3.9
Retrieving notices: ...working... done
Collecting package metadata (current_repodata.json): done
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## Package Plan ##

  environment location: C:\Users\jkimball\Anaconda3\envs\venv

  added / updated specs:
    - python=3.9


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    ca-certificates-2023.01.10 |       haa95532_0         121 KB
    certifi-2022.12.7          |   py39haa95532_0         149 KB
    openssl-1.1.1t             |       h2bbff1b_0         5.5 MB
    pip-22.3.1                 |   py39haa95532_0         2.7 MB
    python-3.9.16              |       h6244533_0        19.4 MB
    setuptools-65.6.3          |   py39haa95532_0         1.1 MB
    sqlite-3.40.1              |       h2bbff1b_0         889 KB
    tzdata-2022g               |       h04d1e81_0         114 KB
    vc-14.2                    |       h21ff451_1           8 KB
    vs2015_runtime-14.27.29016 |       h5e58377_2        1007 KB
    wheel-0.37.1               |     pyhd3eb1b0_0          33 KB
    wincertstore-0.2           |   py39haa95532_2          15 KB
    ------------------------------------------------------------
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  ca-certificates    pkgs/main/win-64::ca-certificates-2023.01.10-haa95532_0
  certifi            pkgs/main/win-64::certifi-2022.12.7-py39haa95532_0
  openssl            pkgs/main/win-64::openssl-1.1.1t-h2bbff1b_0
  pip                pkgs/main/win-64::pip-22.3.1-py39haa95532_0
  python             pkgs/main/win-64::python-3.9.16-h6244533_0
  setuptools         pkgs/main/win-64::setuptools-65.6.3-py39haa95532_0
  sqlite             pkgs/main/win-64::sqlite-3.40.1-h2bbff1b_0
  tzdata             pkgs/main/noarch::tzdata-2022g-h04d1e81_0
  vc                 pkgs/main/win-64::vc-14.2-h21ff451_1
  vs2015_runtime     pkgs/main/win-64::vs2015_runtime-14.27.29016-h5e58377_2
  wheel              pkgs/main/noarch::wheel-0.37.1-pyhd3eb1b0_0
  wincertstore       pkgs/main/win-64::wincertstore-0.2-py39haa95532_2


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#
# To activate this environment, use
#
#     $ conda activate venv
#
# To deactivate an active environment, use
#
#     $ conda deactivate


(base) C:\Users\jkimball>conda activate venv

(venv) C:\Users\jkimball>conda install -c conda-forge mkl=2020
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  environment location: C:\Users\jkimball\Anaconda3\envs\venv

  added / updated specs:
    - mkl=2020


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  intel-openmp       conda-forge/win-64::intel-openmp-2023.0.0-h57928b3_25922
  mkl                conda-forge/win-64::mkl-2020.4-hb70f87d_311

The following packages will be SUPERSEDED by a higher-priority channel:

  ca-certificates    pkgs/main::ca-certificates-2023.01.10~ --> 
conda-forge::ca-certificates-2022.12.7-h5b45459_0
  certifi            pkgs/main/win-64::certifi-2022.12.7-p~ --> 
conda-forge/noarch::certifi-2022.12.7-pyhd8ed1ab_0


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(venv) C:\Users\jkimball>conda install -c conda-forge numpy=1.24.0
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Solving environment: failed with initial frozen solve. Retrying with flexible 
solve.
Collecting package metadata (repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: C:\Users\jkimball\Anaconda3\envs\venv

  added / updated specs:
    - numpy=1.24.0


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    openssl-1.1.1t             |       hcfcfb64_0         5.0 MB  conda-forge
    ------------------------------------------------------------
                                           Total:         5.0 MB

The following NEW packages will be INSTALLED:

  libblas            conda-forge/win-64::libblas-3.9.0-8_mkl
  libcblas           conda-forge/win-64::libcblas-3.9.0-8_mkl
  liblapack          conda-forge/win-64::liblapack-3.9.0-8_mkl
  numpy              conda-forge/win-64::numpy-1.24.0-py39hbccbffa_0
  python_abi         conda-forge/win-64::python_abi-3.9-2_cp39
  ucrt               conda-forge/win-64::ucrt-10.0.22621.0-h57928b3_0

The following packages will be UPDATED:

  vs2015_runtime     pkgs/main::vs2015_runtime-14.27.29016~ --> 
conda-forge::vs2015_runtime-14.34.31931-h4c5c07a_10

The following packages will be SUPERSEDED by a higher-priority channel:

  openssl              pkgs/main::openssl-1.1.1t-h2bbff1b_0 --> 
conda-forge::openssl-1.1.1t-hcfcfb64_0


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(venv) C:\Users\jkimball>conda install -c conda-forge irrlicht=1.8.5
Collecting package metadata (current_repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: C:\Users\jkimball\Anaconda3\envs\venv

  added / updated specs:
    - irrlicht=1.8.5


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    bzip2-1.0.8                |       h8ffe710_4         149 KB  conda-forge
    jpeg-9e                    |       hcfcfb64_3         283 KB  conda-forge
    libpng-1.6.39              |       h19919ed_0         336 KB  conda-forge
    sdl2-2.26.3                |       h63175ca_0         2.0 MB  conda-forge
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  bzip2              conda-forge/win-64::bzip2-1.0.8-h8ffe710_4
  irrlicht           conda-forge/win-64::irrlicht-1.8.5-h739eaf8_2
  jpeg               conda-forge/win-64::jpeg-9e-hcfcfb64_3
  libpng             conda-forge/win-64::libpng-1.6.39-h19919ed_0
  libzlib            conda-forge/win-64::libzlib-1.2.13-hcfcfb64_4
  sdl                conda-forge/win-64::sdl-1.2.60-h63175ca_0
  sdl2               conda-forge/win-64::sdl2-2.26.3-h63175ca_0


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(venv) C:\Users\jkimball>conda install -c conda-forge pythonocc-core=7.4.1
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible 
solve.
Collecting package metadata (repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: C:\Users\jkimball\Anaconda3\envs\venv

  added / updated specs:
    - pythonocc-core=7.4.1


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    package                    |            build
    ---------------------------|-----------------
    expat-2.5.0                |       h1537add_0         339 KB  conda-forge
    fontconfig-2.14.2          |       hbde0cde_0         186 KB  conda-forge
    freetype-2.12.1            |       h546665d_1         486 KB  conda-forge
    tbb-2020.2                 |       h2d74725_4         175 KB  conda-forge
    ------------------------------------------------------------
                                           Total:         1.2 MB

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  expat              conda-forge/win-64::expat-2.5.0-h1537add_0
  fontconfig         conda-forge/win-64::fontconfig-2.14.2-hbde0cde_0
  freetype           conda-forge/win-64::freetype-2.12.1-h546665d_1
  libiconv           conda-forge/win-64::libiconv-1.17-h8ffe710_0
  occt               conda-forge/win-64::occt-7.4.0-h823b557_3
  pythonocc-core     conda-forge/win-64::pythonocc-core-7.4.1-py39h3d1c7c5_0
  six                conda-forge/noarch::six-1.16.0-pyh6c4a22f_0
  tbb                conda-forge/win-64::tbb-2020.2-h2d74725_4


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(venv) C:\Users\jkimball>conda install -c nvidia/label/cuda-11.7.0 cuda-toolkit
Collecting package metadata (current_repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: C:\Users\jkimball\Anaconda3\envs\venv

  added / updated specs:
    - cuda-toolkit


The following NEW packages will be INSTALLED:

  cuda-cccl          nvidia/label/cuda-11.7.0/win-64::cuda-cccl-11.7.58-0
  cuda-command-line~ 
nvidia/label/cuda-11.7.0/win-64::cuda-command-line-tools-11.7.0-0
  cuda-compiler      nvidia/label/cuda-11.7.0/win-64::cuda-compiler-11.7.0-0
  cuda-cudart        nvidia/label/cuda-11.7.0/win-64::cuda-cudart-11.7.60-0
  cuda-cudart-dev    nvidia/label/cuda-11.7.0/win-64::cuda-cudart-dev-11.7.60-0
  cuda-cuobjdump     nvidia/label/cuda-11.7.0/win-64::cuda-cuobjdump-11.7.50-0
  cuda-cupti         nvidia/label/cuda-11.7.0/win-64::cuda-cupti-11.7.50-0
  cuda-cuxxfilt      nvidia/label/cuda-11.7.0/win-64::cuda-cuxxfilt-11.7.50-0
  cuda-documentation 
nvidia/label/cuda-11.7.0/win-64::cuda-documentation-11.7.50-0
  cuda-libraries     nvidia/label/cuda-11.7.0/win-64::cuda-libraries-11.7.0-0
  cuda-libraries-dev 
nvidia/label/cuda-11.7.0/win-64::cuda-libraries-dev-11.7.0-0
  cuda-memcheck      nvidia/label/cuda-11.7.0/win-64::cuda-memcheck-11.7.50-0
  cuda-nsight-compu~ 
nvidia/label/cuda-11.7.0/win-64::cuda-nsight-compute-11.7.0-0
  cuda-nvcc          nvidia/label/cuda-11.7.0/win-64::cuda-nvcc-11.7.64-0
  cuda-nvdisasm      nvidia/label/cuda-11.7.0/win-64::cuda-nvdisasm-11.7.50-0
  cuda-nvml-dev      nvidia/label/cuda-11.7.0/win-64::cuda-nvml-dev-11.7.50-0
  cuda-nvprof        nvidia/label/cuda-11.7.0/win-64::cuda-nvprof-11.7.50-0
  cuda-nvprune       nvidia/label/cuda-11.7.0/win-64::cuda-nvprune-11.7.50-0
  cuda-nvrtc         nvidia/label/cuda-11.7.0/win-64::cuda-nvrtc-11.7.50-0
  cuda-nvrtc-dev     nvidia/label/cuda-11.7.0/win-64::cuda-nvrtc-dev-11.7.50-0
  cuda-nvtx          nvidia/label/cuda-11.7.0/win-64::cuda-nvtx-11.7.50-0
  cuda-nvvp          nvidia/label/cuda-11.7.0/win-64::cuda-nvvp-11.7.50-0
  cuda-sanitizer-api 
nvidia/label/cuda-11.7.0/win-64::cuda-sanitizer-api-11.7.50-0
  cuda-toolkit       nvidia/label/cuda-11.7.0/win-64::cuda-toolkit-11.7.0-0
  cuda-tools         nvidia/label/cuda-11.7.0/win-64::cuda-tools-11.7.0-0
  cuda-visual-tools  nvidia/label/cuda-11.7.0/win-64::cuda-visual-tools-11.7.0-0
  libcublas          nvidia/label/cuda-11.7.0/win-64::libcublas-11.10.1.25-0
  libcublas-dev      nvidia/label/cuda-11.7.0/win-64::libcublas-dev-11.10.1.25-0
  libcufft           nvidia/label/cuda-11.7.0/win-64::libcufft-10.7.2.50-0
  libcufft-dev       nvidia/label/cuda-11.7.0/win-64::libcufft-dev-10.7.2.50-0
  libcurand          nvidia/label/cuda-11.7.0/win-64::libcurand-10.2.10.50-0
  libcurand-dev      nvidia/label/cuda-11.7.0/win-64::libcurand-dev-10.2.10.50-0
  libcusolver        nvidia/label/cuda-11.7.0/win-64::libcusolver-11.3.5.50-0
  libcusolver-dev    
nvidia/label/cuda-11.7.0/win-64::libcusolver-dev-11.3.5.50-0
  libcusparse        nvidia/label/cuda-11.7.0/win-64::libcusparse-11.7.3.50-0
  libcusparse-dev    
nvidia/label/cuda-11.7.0/win-64::libcusparse-dev-11.7.3.50-0
  libnpp             nvidia/label/cuda-11.7.0/win-64::libnpp-11.7.3.21-0
  libnpp-dev         nvidia/label/cuda-11.7.0/win-64::libnpp-dev-11.7.3.21-0
  libnvjpeg          nvidia/label/cuda-11.7.0/win-64::libnvjpeg-11.7.2.34-0
  libnvjpeg-dev      nvidia/label/cuda-11.7.0/win-64::libnvjpeg-dev-11.7.2.34-0
  nsight-compute     
nvidia/label/cuda-11.7.0/win-64::nsight-compute-2022.2.0.13-0

The following packages will be UPDATED:

  ca-certificates    conda-forge::ca-certificates-2022.12.~ --> 
pkgs/main::ca-certificates-2023.01.10-haa95532_0

The following packages will be SUPERSEDED by a higher-priority channel:

  certifi            conda-forge/noarch::certifi-2022.12.7~ --> 
pkgs/main/win-64::certifi-2022.12.7-py39haa95532_0
  openssl            conda-forge::openssl-1.1.1t-hcfcfb64_0 --> 
pkgs/main::openssl-1.1.1t-h2bbff1b_0


Proceed ([y]/n)? y


Downloading and Extracting Packages

Preparing transaction: done
Verifying transaction: done
Executing transaction: done

(venv) C:\Users\jkimball>conda install -c conda-forge glfw
Collecting package metadata (current_repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: C:\Users\jkimball\Anaconda3\envs\venv

  added / updated specs:
    - glfw


The following NEW packages will be INSTALLED:

  glfw               conda-forge/win-64::glfw-3.3.8-h8ffe710_0

The following packages will be SUPERSEDED by a higher-priority channel:

  ca-certificates    pkgs/main::ca-certificates-2023.01.10~ --> 
conda-forge::ca-certificates-2022.12.7-h5b45459_0
  certifi            pkgs/main/win-64::certifi-2022.12.7-p~ --> 
conda-forge/noarch::certifi-2022.12.7-pyhd8ed1ab_0
  openssl              pkgs/main::openssl-1.1.1t-h2bbff1b_0 --> 
conda-forge::openssl-1.1.1t-hcfcfb64_0


Proceed ([y]/n)? y


Downloading and Extracting Packages

Preparing transaction: done
Verifying transaction: done
Executing transaction: done

(venv) C:\Users\jkimball>conda install 
"C:\Users\jkimball\Downloads\pychrono-8.0.0-py39_0.tar.bz2"

Downloading and Extracting Packages


Downloading and Extracting Packages

Preparing transaction: done
Verifying transaction: done
Executing transaction: done

(venv) C:\Users\jkimball>cd "C:\Users\jkimball\Desktop\chrono_test2"

(venv) C:\Users\jkimball\Desktop\chrono_test2>python demo_SEN_sensors.py
Traceback (most recent call last):
  File "C:\Users\jkimball\Desktop\chrono_test2\demo_SEN_sensors.py", line 21, 
in <module>
    import pychrono.sensor as sens
  File 
"C:\Users\jkimball\Anaconda3\envs\venv\lib\site-packages\pychrono\sensor.py", 
line 10, in <module>
    from . import _sensor
ImportError: cannot import name '_sensor' from 'pychrono' 
(C:\Users\jkimball\Anaconda3\envs\venv\lib\site-packages\pychrono\__init__.py)

(venv) C:\Users\jkimball\Desktop\chrono_test2>

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