Skip to main content

Facilitates working directly with IBIS-AMI DLLs from the Python command prompt.

Project description

pre-commit.ci status

PyIBIS-AMI

PyIBIS-AMI is a Python package of tools useful in the development and testing of IBIS-AMI models. This library is used in PyBERT and also provides two command line applications.

It can be installed via conda. PyPi support is experimental but can be installed with pip install PyIBIS-AMI.

View API/Developer's Documentation.

Command Line Tools

AMI Config

ami_config -h
Usage: ami_config [OPTIONS] PY_FILE

  Configure IBIS-AMI model C++ source code, IBIS model, and AMI file.

  py_file: name of model configuration file (*.py)

Options:
  -h, --help  Show this message and exit.

Run Tests

run_tests -h
Usage: run_tests [OPTIONS] [TESTS]...

  Run a series of tests on a AMI model DLL file.

  If no tests are specified on the command line, run all tests found in
  `test_dir'. (See `-t' option.)

  usage: %prog [options] [test1 [test2 ...]]

  Tests are written in the EmPy templating language, and produce XML output.
  (See the examples provided in the `examples' directory of the `pyibisami'
  Python package.)

  Test results should be viewed by loading the XML output file into a Web
  browser. By default, the XML output file refers to the supplied XSLT file,
  `test_results.xsl'. It is possible that you may need to copy this file
  from the pyibisami package directory to your local working directory, in
  order to avoid file loading errors in your Web browser.

Options:
  -t, --test_dir PATH  Sets the name of the directory from which tests are
                       taken.
  -m, --model PATH     Sets the AMI model DLL file name.
  -p, --params TEXT    List of lists of model configurations. Format:
                       <filename> or [(name, [(label, ({AMI params., in
                       "key:val" format},{Model params., in "key:val"
                       format})), ...]), ...]
  -x, --xml_file PATH  Sets the name of the XML output file. You should load
                       this file into your Web browser after the program
                       completion.
  -r, --ref_dir PATH   Sets the name of the directory from which reference
                       waveforms are taken.
  -o, --out_dir PATH   Sets the name of the directory in which to place the
                       results.
  -v, --version TEXT   Show program version info and exit.
  -h, --help           Show this message and exit.

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

PyIBIS-AMI-4.0.4.tar.gz (51.0 kB view details)

Uploaded Source

Built Distribution

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

PyIBIS_AMI-4.0.4-py3-none-any.whl (39.7 kB view details)

Uploaded Python 3

File details

Details for the file PyIBIS-AMI-4.0.4.tar.gz.

File metadata

  • Download URL: PyIBIS-AMI-4.0.4.tar.gz
  • Upload date:
  • Size: 51.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.1

File hashes

Hashes for PyIBIS-AMI-4.0.4.tar.gz
Algorithm Hash digest
SHA256 0f60828b7d6bc07bc8d4e0a12bc827d7924353968f7f619768e8e0212cb21456
MD5 3e472bcc3a7b0238ee602fef304f4f9e
BLAKE2b-256 c7090ae1db23b910aeae2bf41405e2c81bd377310e5418f06183ba2015a5612a

See more details on using hashes here.

File details

Details for the file PyIBIS_AMI-4.0.4-py3-none-any.whl.

File metadata

  • Download URL: PyIBIS_AMI-4.0.4-py3-none-any.whl
  • Upload date:
  • Size: 39.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.1

File hashes

Hashes for PyIBIS_AMI-4.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 5c0340b60b54835c80336a964970f3002ed352f2326ae217850518bc0668ae31
MD5 701ca6484c52c9f3eab55de6501b19ec
BLAKE2b-256 0478303f07ab6ee1a83c6397f8e729d4d317ee521422555b865c19b0e9e54962

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