Skip to main content

A tool for visualizing TOUGH simulation outputs.

Project description

ToughAnimator

Installation

  1. Clone the Repository:

    git clone https://stride-c.synology.me:50000/ytkuof/toughanimator.git
    cd toughanimator
    
  2. Create a Python Virtual Environment:

    python -m venv .env
    
  3. Activate the Virtual Environment:

    • Windows:
      .env\Scripts\activate.bat
      
    • Linux/Mac:
      source .env/bin/activate
      
  4. Install Dependencies:

    pip install -r requirements.txt
    
  5. Install ToughAnimator Locally:

    pip install .
    

    This will install ToughAnimator in your Python virtual environment.

Run Your Own Case with ToughAnimator

  1. Create a New Case:

    • Create a new folder under unresolve. Name the folder according to your case (e.g., unresolve/your_case_name).

    • Copy all necessary TOUGH result files into the new folder.

    • Copy the config.json file from an existing case in the test_cases directory or create a new config.json file in the new folder. The file should have the following structure:

      {
        "case_name": "your_case_name",
        "input_files": [
          "name_of_your_input_file (e.g., flow.inp)",
          "MESH",  // For a separate mesh file, if applicable
          "INCON"  // For a separate INCON file, if applicable
        ],
        "output_files": [
          "name_of_your_output_file (e.g., conn.csv)",
          "name_of_another_output_file (e.g., mesh.csv)",
          "name_of_other_output_file (add or remove as needed)"
        ],
        "corners_file": "name_of_your_corners_file (e.g., corners.csv)",
        "nas_path": "path/to/nas",
        "notes": "Any additional notes"
      }
      
    • The config.json file should contain these fields:

      • case_name: The name of your case.

      • input_files: A list of TOUGH input files (e.g., flow.inp). You can include multiple input files, but they must contain the INCON, ELEME, and CONNE blocks.

      • output_files: A list of output files (e.g., conn.csv, mesh.csv). Only CSV format files are currently supported.

      • corners_file: The name of the corners file (e.g., corners.csv). This field is optional and can be omitted if not applicable.

        • To obtain the corners file, open the 3D Results in your PetraSim project, select Export Data from the File menu, and on the right side of the file-saving window, set the Interpolation type to Interpolate to cell corners. Save the file as CSV.

        Exporting corners file from PetraSim

      • nas_path: The path to the NAS (Network Attached Storage) location where the case files are stored. This field is optional.

      • notes: Any additional notes or comments about the case. This field is optional.

  2. Run the Script:

    • Ensure the virtual environment is activated.

    • Open toughanimator/run.py in VS Code and select Run Without Debugging (Ctrl+F5) or run the script from the command line:

      python run.py
      

Run an Existing Case with ToughAnimator

  1. Set Name and Directory:

    • Open toughanimator/run.py.
    • Modify the dir_name and case_name variables to match your case directory and name.
  2. Run the Script:

    • Ensure the virtual environment is activated.

    • Open toughanimator/run.py in VS Code and select Run Without Debugging (Ctrl+F5) or run the script from the command line:

      python run.py
      

Acknowledgments

Special thanks to the TOUGH3 development team for their outstanding work on the TOUGH suite of tools.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

toughanimator-0.1.17.tar.gz (27.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

toughanimator-0.1.17-py3-none-any.whl (25.6 kB view details)

Uploaded Python 3

File details

Details for the file toughanimator-0.1.17.tar.gz.

File metadata

  • Download URL: toughanimator-0.1.17.tar.gz
  • Upload date:
  • Size: 27.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.2

File hashes

Hashes for toughanimator-0.1.17.tar.gz
Algorithm Hash digest
SHA256 2a0cb81c816b85d32b81ac174db13b17137aff387178790fd3698571cfacac8d
MD5 6ce66cf4449c77eca332722a2b5b8552
BLAKE2b-256 19b060b9a952d6ba3507e83047721f3f80c3f61f64c1ba420460e0821e58e333

See more details on using hashes here.

File details

Details for the file toughanimator-0.1.17-py3-none-any.whl.

File metadata

  • Download URL: toughanimator-0.1.17-py3-none-any.whl
  • Upload date:
  • Size: 25.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.2

File hashes

Hashes for toughanimator-0.1.17-py3-none-any.whl
Algorithm Hash digest
SHA256 76a57392e59eea6015f7ef80a12b66121b96db286e071caab97f079d2409765d
MD5 0c6e0c3fb1efa45b7705d6c3895e923b
BLAKE2b-256 0e060455cf1a0009245e05dbf3f74be9a1116c6616227ea303e51113f7517aef

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page