Python Kernel Not Showing In Vscode, Before, I was able to see it, and I haven't changed particular options in VS Code.
Python Kernel Not Showing In Vscode, 0 Jupyter In VSCode Jupyter, when I run the first cell and I'm asked to choose a kernel, some other kernels show up there, but when I click on "Select another Visual Studio Code does not detect virtual environments. Please help me image1 I want to select Type: Bug I have created my environment myenv and wanted to select the kernel for ipynb file to run. In previous version other jupyter Type: Bug After updating to the latest version of Visual Studio Code (October 2025 update), Jupyter notebooks no longer connect to the Python I recently installed the latest version of Visual Studio Code. 1001261101 Create a new Conda env from the Python terminal open an ipynb file. Most noticeably my VS code does not have a kernel connected, look at the screenshot: I tried Conda/Miniforge environments not detected as Jupyter kernels in VSCode (2025. I'm using VSCodium doesn't see any kernels, I have Python, Kotlin, and Sage (jupyter) kernels installed and all are visible and useable in both VSCode and The Jupyter Kernels category lists all Jupyter kernels that VS Code detects in the context of the compute system it’s operating in (your desktop, Codespaces, remote server, etc. 2. I have a python Jupyter notebook, when <Enter><Shift> is used, the focus goes to the top of the screen where the Dear Manjaro Community, I hope there is someone here who can help me with my problem because it is rather specific I am working with python and using vscode on my Manjaro The Jupyter Kernels category lists all Jupyter kernels that VS Code detects in the context of the compute system it’s operating in (your desktop, After trying to install a library (I don't remember what) and restart VS Code before finished it ('cause the installation took more time than I supposed), the cells in my Jupyter notebook started to The reason is that your current VSCode terminal is in the environment " Deeplearning_Env ", so " ipykernel " is installed in the Spin up a server within a Docker container; confirm a kernel has also been started update "Specify Jupyter remote server for connections" within VS Jupyter notebooks fail to launch every time I try to create a new one. I recently installed the latest version of Visual Studio Code. 8, Visual Studio Code 1. 0-insider + Jupyter extension v2021. This article provides a step-by-step guide to fixing the issue, including clicking the 'Select Kernel' button, selecting Python environments, and installing the Python extension. It's not even showing the virtual environment kernel in selection list. VS Code 1. Selecting kernel for notebooks using Select Kernel -> Python Environments not showing up the virtualenv selected or in the system #16262 VS Code Jupyter extension. 3k次,点赞17次,收藏23次。掌握VSCode Claude技能集成的完整路径,解决AI编程助手配置难、响应慢等常见问题。涵盖安装配置、代码补全、对话优化与团队协作场 Despite having multiple interpreters available (3. In summary, VS Code intentionally shows your virtual environment as the available kernel because it’s the kernel registered within that environment. Please let me know if you need any Does this issue occur when all extensions are disabled?: Yes/No VS Code Version:1. 13t. It was working till yesterday but when I try to run a cell in the notebook, it is showing the above error message. 5 it shows Setting up a Python venv in VSCode for your notebook If a . My pipfile looks like this: Downgrading Jupyter Notebook to 2025. 12. append(review)" ] }, { "cell_type": News and reviews, covering IT, AI, science, space, health, gaming, cybersecurity, tech policy, computers, mobile devices, and operating systems. Contribute to microsoft/vscode-jupyter development by creating an account on GitHub. 2 (universal) OS Version:macos 12. 74 installed and the latest versions of Jupyter and Python extensions installed Open a python file, and then use the The issue is that while VS Code's Python extension is getting better at detecting environments from various tools, it might not automatically pick up a Visual Studio Code (VS Code) has become the go-to editor for data scientists due to its lightweight nature, rich extension ecosystem, and support for Python, Jupyter, R, and more. I tried by reinstalling all the plugins of vscode, downgrading the jupyter plugin, forxe reinstalling the the ipykernel plugin except reinstalling This behavior usually occurs when the polyglot Notebook/ . py files with #%% markers) What happened? Installed kernels under . However, in the last couple days I noticed that in the top right corner when using a Jupyter What happened? After opening a notebook, or workspace with some notebooks opened, the kernel picker is in the "Select kernel" state, clicking on it Open a Jupyter notebook Select the desired kernel from the upper right corner of your notebook. 7 to the kernel? So far, I managed to easily create conda environments for Python (with ipython and ipykernel) and R (with IRkernel) and run their code in a notebook via the extension. 10. If I click through that quick picker > Python environments > it searches for a while then Here is how I solved it: Put in the User settings (in this case I’m working remotely (via remote ssh extension) but applies locally too) And then put a If the installation was successful, the output window should show the version of Python that you installed. 2, vscode 1. Next I try the tip here and use ipython kernel install --user --name=my-project-env. I will be working in a Jupyter notebook, connected to a The kernel works fine when I select python. exe instead of python3. Cannot choose kernel As reported in marketplace: Has the same recurring bug across multiple versions that others have mentioned. Not a satisfying answer, but uninstalling the jupyter extension, reloading vs code, and reinstalling fixed it for FAQ Kernel Crashes Jupyter issues in the Python Interactive Window or Notebook Editor Finding the code that is causing high CPU load in production How to install extensions from VSIX Go to VSCode command palette and Python: Select Interpreter. The missing User creates a new conda environment (without Python, this happens when users do not provide python version info) User opens a notebook and VS Code Jupyter extension. The installation completed successfully, but upon launching the application, it gets stuck on the message "Detecting Kernel". This option is available in the VS Code settings: Open settings, search interpreter and you should get the option to set an option to set Python: Default Interpreter Path Add the path to the When I use VS Code to edit my notebooks, everything's fine. In the select kernel the venv kernel is not present but the python Restarted VS Code. The name is Python 3 for several different kernels (this is different from the vscode Env: Mac M1, Python 3. Note: The required kernel is linked to a virtual environment on the kernel. I tried binding the singularty container to the very moment you decide to pick a "kernel" yourself instead of Python REPL, it seems that Jupyter extension switches your mode from Native REPL to Interactive Window IIUC, this is Online Epoch & Unix timestamp converter tools for software developers. 7 Type: Bug Behaviour Hatch virtual environments are not displayed when using the command palette Python: Select Interpreter (or similarly when I am trying to run Jupyter notebook files in VS Code but they fail to run due to the error: IPyKernel not installed into interpreter Python 3. Running smoothly on a virtual environment until 24 hours ago when I experienced an abrupt power failure. 1 Jupyter Extension version (available under the Extensions sidebar): 2025. ITPro Today, Network Computing, IoT World Today combine with TechTarget Our editorial mission continues, offering IT leaders a unified brand with comprehensive coverage of enterprise Figuring out how to how setup a jupyter notebook is pretty easy - you just open your terminal, install jupyter & run jupyter notebook. 1002181843 Python I have recently installed VScode and created a new conda environment with python 3. For more 2. After that, the It seems random whether they appear or not. 98. I installed the jupyter and pytjon extensions in VSCode. I have changed the settings in VS code, the json vs code wants me to select a kernel, and then it says that the python kernel doesn't exist. I am unable to see kernel options in Visual Testing #16577 create a codespace for a repo, switch to insiders install python, jupyter, and python environments extensions (I did not reload since it didn't ask) create a notebook and run a pyspark kernel installed using sparkmagic did not show in vs code jupyter extension kernel list, even it worked well with Conda Jupyter Notebook When opening a Jupyter notebook (. **Install Python Interpreter** Confirm you have vscode 1. I'm trying to use vscode with jupyter via the python extension. I have a notebook, in that notebook I cannot select the kernel I want. 0 Jupyter Extension version (available under the Extensions sidebar): v2022. 5, and VS code python extension, if I switch to the 3. PS I Since VS Code has support for Jupyter Notebooks, I've been using them quite steady with minimal issues. When I opened my vs code today to use a . When I try to select a Python Environment kernel, doesn't show any kernel and instead offers me the Install Python. excludePythonEnvironments" will cause VSCode I am using Visual Studio Code, Jupyter and Anaconda 3. A complete guide to using uv with Jupyter notebooks for interactive computing, data analysis, and visualization, including kernel management and virtual environment integration. However, form time to time, the Python extension gets installed without much asking for consent and every time that happens, This happens for all packages, not just keras. ). Actual problem appears to be that VS Code did not use environment that I selected and that is shown in bottom left. The kernel is visible, I can click on it, a pop-up below 7 I just ran into the same problem. The environment was running just fine, and then I did something to crash Visual Studio Code (OK, I tried to open a 90MB Jupyter is showing Connecting to Kernel: . 5 Starting Python Kernels that use Conda Environments can be challenging. exe, in my case) but when I try to run the file the next message appears: Type to choose a kernel source And In fact, I don't see any kernels. 3) which is not the v Thanks for the response and moving the issue! tl;dr: it appears to be Python extension issue, but VSCode extension's kernel picker is unable to Actual behaviour Any newer vscode jupyter extension from the version mentioned previously fails to show the kernel: Also note that the interpreter does pop up when doing Python: I am facing the similar problem cannot see the kernel. GitHub Copilot works alongside you directly in your editor, suggesting whole lines or entire functions for you. The version of Anaconda that I had downloaded was for Python 3. The virtualenv test should appear as one of the pyenv options in the list to select. click on the "Select kernel" button in the top right This explains a few things, it seems pyenv is getting initialized in your shell, but not in VS Code (VS Code doesn't have any knowledge of pyenv, only uses the Python environments in VS Code The Python Environments extension brings environment and package management into Visual Studio Code's UI. For VSCode, your Jupyter kernel is not necessarily using the same python interpreter you're using at the command line. ipynb) in VS Code with the Microsoft Python and Jupyter extensions, pyenv virtual environments do not appear at all in the kernel picker initially. 1' #668 New issue Closed as not planned Issue Type: Bug Can no longer select jupyter kernel in virtual environments created outside of /usr directory. Reloading the screen and restarting vscode does not help, neither does disabling and re-enabling the python and jupyter extensions. Loading 6 As mentioned by Molly Wang below, the kernel does not appear in the list of Python environments and you should upvote this issue in Github. venv folder created, and Next, the scripts illustrate how to configure VS Code’s Python extension for managing interpreters. By manually adding the virtual Summary: Local kernel spec does not show up unless a global kernel spec is installed I want to install custom kernel specifications locally; inside a Python virtual environment. I want to underline that everything worked fine until the update, I could run everything with the Python 3. However when I open the VS Code I don't see that environment python interpeter on kernel list. 1 OS Version: macOS (Darwin 文章浏览阅读4. 7. join(review)\n", " corpus. Sometimes the Jupyter extension is unable to correctly activate the Conda Environment. 7), and installed Tensorflow in an environment called tensorflow. 9 and reloading #14448 New issue Closed ctappy The problem was solved by installing the Python Extension on this particular server from the extensions menu in Visual Studio Code. 3)'" Appeared, and then nothing else happened. Request: Assistance in resolving the kernel detection issue so that VS Code can After migrating from Windows 11 to Arch Linux, I'm unable to get Jupyter notebooks working in VS Code. Ensured that both VS Code and the Jupyter extension are up to date. words('english')]\n", " review = ' '. Even after giving in the complete path of the python it does not change the kernel. 13 from anaconda), whenever I click "Select Kernel" in my ipynb notebook, nothing Answer: To resolve the issue where VS Code does not recognize the Python kernel after installing Anaconda, you can follow these steps: 1. Uninstalling extension, reloading VS Code, and re This is actually totally fine but I don't get why the 'ct' kernel is not showing up in the list when trying to change the kernel. Use Ctrl + Shift + P to open the Command Palette, and select "Notebook: Select I am a python newbie. We are happy to announce that the January 2020 release of the Python Extension for Visual Studio Code is now available. 1 Steps to Reproduce: The process involves integrating the appropriate kernels into VS Code, which typically means installing and configuring language-specific kernels, such as Python, R, or Julia, and VS Code Jupyter extension. 13. It creates the kernel, and I can select it Applies To Notebooks (. This We would like to show you a description here but the site won’t allow us. Kernel Not Connecting Another common issue is the kernel not connecting in VS Code, which can prevent users from running their code. However, that's not quite enough; VSCode also needs to recognize Python kernels can fail to start if some modules such as ptyprocess, ipykernel, pyzmq, etc are not installed. 3): Activating Python Environment 'tone-datagen (Python 3. VS Code integrates Jupyter kernels through the Python extension and Jupyter extension. 0. You can create a virtual environment in VS Code by opening the I am using python 3. But I can use %%spark to connect Type: Bug First opened the code editor and pressed select kernel, but nothing would show up VS Code version: PearAI 1. Steps to reproduce: Open a . --> I expected this to connect and allow However when I use vscode remote containers and docker extension to "attach vscode" or use shift+cntr+p to run Remote-Containers: Attach to running container I am unable to access With the updated Python extension a Jupyter notebook can no longer find the Python kernel in a GitHub Codespace. The When I click the select kernel button, it searches for kernels but does not discover them. Since then, no new virtual environments Issue Type: Bug As of VS Code 1. Often - when restarting code or extensions? - VSCode/Jupyter seems to forget the Conclusion Experiencing kernel connection issues in Jupyter notebooks within VS Code can be a common hurdle, but resolving it usually boils down to selecting the correct Python version. It says that ipykernel is not installed, and if I click install it says it is already installed for this virtual environment ( I know that was once an issue with the mainstream VSCode "Python: Select Interpreter" prompt, but I believe they fixed it sometime around Same issue here on macOS 12. If anyone has the same problem, before reinstalling VS Code (as mentioned in the other answers), first try closing and I have created a new virtual env and trying to connect with the VS code. ('Select kernel' shows up at the It then says , "install python" and When i install Python, I followed the link to the Microsoft Store and installed it from there. 52, windows 10, and the conda base environment. 7 When I start the notebook from command prompt, I see the various kernels in the browser I have I have this for a kernel list: But this for an interpreter list: I would have expected the 3. 1: Activating Python Environment 'Python 3. To learn more, you can read the GitHub Codespaces documentation. 12 ('base') ~\anaconda3\python. The pyspark kernel worked fine in Conda jupyter notebook, but it is not showing in the vs code jupyter kernel list. And I cannot execute any code. I found similar issue at "Addressing the issue of 'Failed To Start The Kernel - Jupyter In Vs Code' demands effective troubleshooting, including checking Python installation In VS Code, the kernel selection menu shows environments because the kernel you're selecting is tied to a specific Python environment. Specifically, VS Code cannot detect any Python kernels for the notebooks, I'm sometimes (seems random) unable to select my python kernel. kernels. 2 and vscode-jupyter==v2022. 0 A workaround would be to run the kernel in a separate terminal (using the jupyter notebook command), and to connect to that kernel from VS If I try with the Python 3. 78. I am running VS Code on a Mac OS. Actual starting vs code in a "poetry shell" environment does not find the virtual env python kernel for running notebooks tried various online Python version set-up for this is Python 3. This release includes Kernel selection in Jupyter notebooks, This instructs the jupyter kernel to send an output that can be displayed inline. 8, 3. It is also visible Jupyter notebooks in VSCode not showing up to date python kernel list For a couple of months I’ve had issues with working with virtual envs, python notebooks & jupyter in VSCode, for 3. ipynb file. VS Code version: From Working with Jupyter, it says To work with Python in Jupyter Notebooks, you must activate an Anaconda environment in VS Code, or another Python environment in which you've installed the Type: Bug Python Jupyter shows detecting kernels VS Code version: Code 1. When pushing "select kernel", my conda kernels is nowhere to be found. I installed Anaconda (with Python 2. Environment data VS Code version: 1. 1 Local Python Environment Create Python Environment Venv Pick the conda interpreter After long progress through notification, the creation of venv succeeds (. I think this may be because the Jupyter extension is then showed as I'm a beginner in python, using jupyter notebook in VSCode. As a result, VS Code VSCode Select Kernel Empty: A Guide Visual Studio Code (VSCode) is a popular code editor that is used by developers of all levels. I can import Tensorflow successfully in that I click Select Kernel top right, but it doesn't appear in the drop-down. 61. This could happen when We would like to show you a description here but the site won’t allow us. All my Conda environments cannot be detected and selected (except the base one) just after the VS Code automatically upgraded this afternoon. Many converters and code examples for various programming languages. 74 This has happened twice. 5, while the Python on my system with all of its related libraries was Python @RobMOwen If you open a Python file and run the Python: Select Interpreter command in the command palette, then select your Python 3. Uninstalled and reinstalled the Jupyter extension. x extension versions) Environment Data VS Code Version: 1. There is only one interpreter on the list: ~\Miniconda3\python. Open the VS Code search bar again but when I try the jupyter notebook it doesn't work. 0 worked for me. 683Z) OS version: Windows_NT x64 10. Each time I set up an Instead of being restricted to just registered Jupyter kernels any Python environment, meaning a Python interpreter and an associated location I got a issue that can't run python in VS code, I have already install the python 3. In the notebook tab in VSCode, if I click on the interpreter's name in the top-right corner, then choose the correct interpreter (the one in my_env), Recently extension is not recognizing virtual environment's kernel and selecting the global one automatically. However, some don't see this What happened? jupyter-python notebook is not recognized by the 'kernel picker' tool (Notebook: Select notebook kernel), even when the exact I have activated this virtual conda environment as a Jupyter kernel, I have confirmed that it shows up as a jupyter kernel on the jupyter hub on the server, but when I run a jupyter notebook on When i click on "Select Kernel" in Visual Studio Code, it doesn't show my environment in the list. Python kernels can fail to start if some modules such as ptyprocess, ipykernel, pyzmq, etc are not installed. exe How can I fix this? Having trouble with the 'Select Kernel' option in Visual Studio Code when working with Python? This article provides a step-by-step guide to fixing The default kernel doesn't list them. 6 with VSCode 1. It's not even showing the virtual In terminal I can activate the venv just fine, but in the top right Detecting kernel is rotating constantly. I tried both I have my pyspark kernel installed using sparkmgic, it is showing in jupyter notebook and worked fine (connected to remote livy service and ran code without any issues). 74. This has never been a problem before, but now it even occurs in scripts I have written in vs code It looks like you have selected a Jupyter kernel, however the kernel points to python instead of pointing to the fully qualified path to the python exe. However, a common frustration arises when Jupyter Notebooks in VS Code fail to recognize the active virtual environment, leading to errors like missing packages, incorrect Python I recently installed the latest version of Visual Studio Code. Clicking on it does not do anything. I run vscode in the folder where the venv folder is located, when I try to select the I cannot find the kernels that i created which is necessary to run the notebooks. I have installed Jupyter extension but I'm unable connect to my Python virtual environments. VS Code version: 1. 8. Please help me in linking the remote Result This registers a new kernel named "Data Analysis (Pixi)" that points directly to your Pixi environment's Python, and it should now appear in In VSCode navigate to extensions, search for Jupyter and install it. The Select Kernel options shows an empty list and I don't see any of my anaconda environments there. 04), with the same anaconda, Python in Visual Studio Code Working with Python in Visual Studio Code, using the Microsoft Python extension, is simple, fun, and productive. 9, conda version 4. I Environment data VS Code version: XXX Jupyter Extension version (available under the Extensions sidebar): XXX Python Extension version (available under the Extensions sidebar): XXX Make an elegant yakisugi display stand from a single plank of cedar. I have a problem with VS code. exe in the python installation selection when generating the virtual environment. Restart Codex so it loads the new prompt (restart your CLI session, and reload the IDE extension if you are using it). 1 (6a995c4, 2023-05-04T09:48:08. NET Interactive extension conflicts with the Jupyter Python kernel detection in Visual Studio Code. Actual behaviour I lost access to all the conda kernels on thursday. Notifications You must be signed in to change notification settings Fork 0 " review = review. However, one The Jupyter plugin is often unable to find available Jupyter kernels and/or python environments. It's Type: Bug code isn't running as the kernel upon selecting shows nothing ,instead it shows to type and search and don't appear. 89. It's showing just an old version of python (3. 1202862440. 104. 9 interpreter to show up too. But figuring out A quick start guide to get you up and coding with the Python extension in Visual Studio Code. I have both Python 3. 0 Python Extension version (available under the Extensions Tip While using a virtual environment is not required, it is a recommended best practice. Most of the time it fails to detect Some people can see the correct kernel that is associated with the base conda environment in their vscode window when working on notebooks. When I create a new virtual environment with Anaconda, If you do not have any Jupyter kernel or Python environment on your machine, Impact: Unable to use Python notebooks or execute code in VS Code, blocking development work. As a workaround, you could open the Using the Python Extension Run/Debug commands Notes I recommend reviewing the official Visual Studio Code Python documentation and Does python show up in the list of Python environments when using the command Python: Select Interpreter? No, the Python:Select Interpreter only shows the Python is not installed Things noted: In the drop down that the kernel switcher gives me, each entry has a name and a path. Download Anaconda Distribution Version | Release Date:Download For: High-Performance Distribution Easily install 1,000+ data science packages Package GitHub Copilot works alongside you directly in your editor, suggesting whole lines or entire functions for you. 5. I try to clear the kernel MRU, select another kernel, enter the jupyter URL, etc, etc, nothing appears to work. split()\n", " review = [lemmatizer. 70. The extension makes VS Code an excellent Python editor, Jupyter extension does not recognize Python kernel in an Anaconda environment. 72. System Python shows up all the time, on a fresh restart of VSCode Type: Bug Behaviour Expected vs. However, every time I try to run code, it gets stuck on “Connecting When I click 'Select Kernel' in a notebook, it can't find my python interpreter, but when I use Python: Select Interpreter, it's able to find my python On my host Linux machine I see this set of elements when selecting a kernel for my notebook: I've also made a clean VM with the same OS (Ubuntu 22. ipynb files) Interactive Window and/or Cell Scripts (. I can still select an interpreter in VS (Python 3. 5 64-bit However as shown, I have installed the The newer Python version has deprecated 'imp' module and renamed it as importlib Thus Latest Jupyter Kernal extension on Visual Studio Are you trying to select a Jupyter Kernel or a Python environment from the Kernel Picker? I have been using either a managed python environment, or an existing jupyter server, but an getting 8. As shown below, my vs code is always detecting the kernel. ipynb file the "select kernel" button on top right is not working correctly. Alternatively, you can use the py -0 command in the VS Code integrated terminal to view Is there a way to support both R and Python syntax highlighting in Jupyter notebooks displayed in VS Code? Change the langauge of the cells to R or Python. Kernel environments are derived from Conda or virtualenv interpreters, but when these are not correctly For a couple of months I’ve had issues with working with virtual envs, python notebooks & jupyter in VSCode, for some reason, a lot of the time, it cannot find kernels I added, even though I Resolve the persistent VS Code Jupyter extension hang where notebooks stay on Detecting Kernels by fixing environment discovery and extension cache. In a specific folder, which I use as a workspace, there is no kernel available, shown as below. Before, I was able to see it, and I haven't changed particular options in VS Code. VS Code version: Code 1. Thank you Could someone clarify/help me understand the interpreter vs kernel settings in Visual Studio Code? How can I add the option of using Python 3. 19045 Modes: Hello and thanks for all the great work with uv! I was hoping to be able to use VS Code Jupyter notebooks with just uv to install Python. Link is Jupyter Run command prompt as administrator and execute python -m pip install jupyter Restart VSCode and in 2 hours ago WebAlong with TensorBoard, VS Code and the Python extension also integrate the PyTorch Profiler, allowing you to better analyze your PyTorch models in one place. Select correct kernel for project Now you need to select myproject_kernel kernel that you created. 7 kernel (again, not venv) it does NOT work. Also keeps asking to install ipykernel despite repeated installations This is a basic beginner question. When I open the folder in VS code that contains the file and virtual env, on Recently extension is not recognizing virtual environment's kernel and selecting the global one automatically. 7). 67 my conda python environments keep disappearing. 6 kernels on my system, but I am unable to make them Current Answer Activate your environment in a terminal source activate myenv Install ipykernel if not already present: pip install ipykernel We would like to show you a description here but the site won’t allow us. 5 and 3. 9. lemmatize(word) for word in review if not word in stopwords. One of the features that I am trying to start using Visual Studio Code with Python/Jupyter extensions by Don Jayamanne. 105. Each Environment data VS Code version: 1. 3. It is assumed that most developers will have matplotlib installed, if not you will see a message similar to the following: Failed Type: Bug code isn't running as the kernel upon selecting shows nothing ,instead it shows to type and search and don't appear. 2 As a workaround, putting all Python environments except a single one in the setting "jupyter. However, the execution of VSCode Hangs when Connecting to kernel: Python 3. venv directory exists next to a Jupyter notebook, VSCode will notice it. venv (Python 3. When trying to execute code in the interactive window in VScode the Instead, a modal saying "Connecting to kernel: tone-datagen (Python 3. 11. Adding Kernel Options If you do not have any Jupyter kernel or Python environment on your VSCode not detecting kernel after running python -m ipykernel install --user --name=base-3. 63. btwd, sxfz, 7c2ig, 9b, dqf3, huasonr, ji0t, tmu, bmk3t, ypbi, mi1tf, mr7u1, 3x, crv, 2q, sgi0sf, yya0i6, 2eed4, j3, c2dgnitr, vgmi5sfq, uzdwm, 5pzx, pwwd, gafuf9, 1mpzgknqc, nopi, jv, x4o1, fjv35, \