Skip to main content

No project description provided

Project description

simd-dna

A Python simulator for the SIMD||DNA model of computation, as defined in https://doi.org/10.1007/978-3-030-26807-7_12 (preprint: http://users.ece.utexas.edu/~soloveichik/papers/simd-dna.pdf)

Code documentation can be found at https://simd-dna.readthedocs.io/en/latest/

Setup

Using pip

Run python -m pip install simd-dna in the terminal of your Python project.

Directly using the code base

  1. Install PyCharm: https://www.jetbrains.com/pycharm/
  2. In the Welcome screen, select Open (if using PyCharm for the first time) or go to File > Open (if using PyCharm with a pre-existing project loaded) and open the root directory of the repository.
  3. Go to File > Settings > Project > Python Interpreter. Choose a Python interpreter from the list if you already have any, or click on the gear icon to the right and choose Add. I recommend using a Virtualenv environment to keep it self-contained.
  4. At the bottom, click on Terminal. Type and enter pip install -r requirements.txt to install all required packages.

Usage

Running

In the project directory, open the context menu for main.py and select Run.

Loading files

To load an existing SIMD||DNA configuration, supply the JSON file name as an argument (either absolute or relative paths are fine.) In PyCharm, go to Run > Edit Configurations... and enter the arguments in the Parameters field. When running for the first time, you may need to set up the configuration first. You can load some of the pre-existing samples such as rule11.json or increment.json and select Run simulation to see how it works.

Options

Note: As of this writing, there is no input validation, so any parsing errors or references to non-existent values will throw a runtime exception. This will be addressed in a future update.

The simulator is currently terminal-based, and all options can be accessed by typing the option number in the terminal and hitting Enter.

  1. Add cell type
    Input values: Cell name (string), Domain names (comma-separated strings)
    Example:
    Bit
    1,2,3,4,5

  2. Add cells to register
    Input values: Register name (string), Cell name (string), Number of cell copies (integer), Initial strand coverings (strand-coordinate pairs, separated by semi-colons; can be left blank)
    Adds cells to the rightmost side of a register. If the register name doesn't exist, a new register will be created. All registers are considered to be in the same solution, and the simulator will apply the instructions to all of them.
    Multiple copies of the same cell with the same initial strand covers can be added.
    Example:
    Register 1101
    Bit
    2
    One-first,0;One-second,2
    This will add two Bit cells to Register 1101, where each one has a One-first strand at index 0, and a One-second strand at index 2. Coordinates are zero-indexed. Visually, the result would look like the following:
    =>==>|=>==>
    01234|01234

  3. Add strand type
    Input values: Strand name (string), Domain names (comma-separated strings), Is complementary to the top strand (Y or N), Color hex code (6-digit hexadecimal number, #000000 by default)
    Example:
    One-first
    0,1
    N
    #541074
    The complementary property determines whether the strand binds to the bottom strand of the register (solid line strands in the SIMD||DNA paper) or to the top strand of the register (dashed line strands, only used in instructions.) The color code determines the strand's color in the SVG output file.

  4. Add instruction
    Input values: Number of instruction strands (integer), Strand names (strings, entered one by one)
    Adds a single instruction. The simulator assumes an infinite number of copies of each instruction strand is added each time the simulation is run.
    Example:
    2
    1A
    1B

  5. Add cell-strand labels
    Input values: Cell name, coordinate-strand pairs, and label (comma-separated string)
    Adds a string label underneath a cell in the SVG output if its top strands follow a certain pattern. This allows the user to easily see the values encoded by a cell at any point in the simulation without needing to remember the exact strand encodings.
    Example:
    Bit,0,One-first,2,One-second,One

  6. Run simulation
    Applies the current instruction sequence to all registers. An SVG file is automatically output for each register in the solution. The final result is output at the end after all the instructions.

  7. Save data
    Input value: File name (string)
    Saves the current data in a JSON format.

  8. Turn step-by-step simulation on
    Default value: Off
    When turned on, the user will need to press Enter in the terminal after each instruction. While an ASCII representation is printed in the terminal after each step, the SVG file is only produced after the last instruction.

  9. Keep results after simulation
    Default value: Don't keep
    When set to keep, after running an instruction cycle on the registers, the output register contents will replace the initial contents. This is helpful if the user wants to simulate multiple instruction cycles on the register, such as repeatedly incrementing a binary number with the binary increment example. Otherwise, the initial register contents set by the user will never change when running instruction cycles.

  10. Show unused instruction strands
    Default value: Don't show
    When set to show, the simulator will display instructions strands that would have otherwise attached to the register if there had been an open toehold and no competing strands had displaced them. Otherwise, only instruction strands that attached successfully are shown.

  11. Compress SVG drawings
    Default value: Don't compress
    When set to compress, in the SVG file, only instruction numbers are shown on the left, the cell height is reduced, and the unused instruction strands occupy the same height as the successful instruction strands. Unused instruction strands are displayed with a dashed line in this mode, while successful instructions are displayed with a solid line, regardless of whether they're complementary to the top or bottom strand. When turned off, the left label states "Instruction [number]", the cell height is increased, and the unused instruction strands are placed higher than the successful instructions. Top complementary strands are shown with a dashed line and bottom complementary strands are shown with a solid line, similar to the convention used in the SIMD||DNA paper.

  12. Convert turingmachine.io Turing machine to SIMD register
    Input value: File name of turingmachine.io YAML file (string)
    Takes a Turing machine specification from http://turingmachine.io/ and creates the SIMD||DNA representation. This will erase all existing data to make way for the Turing machine information. The register's contents are initialized to the string input on the Turing machine's tape as specified in the YAML file. This will reject any Turing machine that uses symbols other than 0, 1, and blank. If the conversion is successful, the result can be immediately shown through the Run simulation option.

  13. Draw inert instructions in SVG Default value: Don't draw By default, if an instruction does not affect the register at all, the simulator will not draw that instruction in the SVG file. If turned on, the full instruction set will be draw, where inert instructions have a red X notated underneath the instruction number.

  14. Exit
    Fin

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

simd-dna-1.0.1.tar.gz (25.1 kB view details)

Uploaded Source

Built Distribution

simd_dna-1.0.1-py3-none-any.whl (23.5 kB view details)

Uploaded Python 3

File details

Details for the file simd-dna-1.0.1.tar.gz.

File metadata

  • Download URL: simd-dna-1.0.1.tar.gz
  • Upload date:
  • Size: 25.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.25.0 requests-toolbelt/0.9.1 urllib3/1.26.2 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.3

File hashes

Hashes for simd-dna-1.0.1.tar.gz
Algorithm Hash digest
SHA256 1fdcb26696171f7c91ec67162ac3b9136dcbda3db47d4596634551a6a9f1fdda
MD5 d0d0079fc7714888744e4d98865663aa
BLAKE2b-256 93e1035a0d117332192f735c0fd40118d0e4f7594fb22453ea226fd109556de1

See more details on using hashes here.

File details

Details for the file simd_dna-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: simd_dna-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 23.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.25.0 requests-toolbelt/0.9.1 urllib3/1.26.2 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.3

File hashes

Hashes for simd_dna-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 08dcd8f7bb3e4358b714b3275c3b34308c8d18529d615c985f6b35b3819eb031
MD5 0169aa9d7a7120ea537b2d71da3187fd
BLAKE2b-256 09894a2a5d2a8cf9fcf6ab6258d174facf84527b050823b017722ade0e5758cf

See more details on using hashes here.

Supported by

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