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-4.0.3.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-4.0.3-py3-none-any.whl (39.7 kB view details)

Uploaded Python 3

File details

Details for the file PyIBIS-AMI-4.0.3.tar.gz.

File metadata

  • Download URL: PyIBIS-AMI-4.0.3.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-4.0.3.tar.gz
Algorithm Hash digest
SHA256 ff1baabb23448841a773d027a4da330a90402d3b1f28696f8cdf758752412ee5
MD5 5e5648756876cde05a0fd1bb823a78bb
BLAKE2b-256 73a0cc95fd38d24c5951349db1fcb994f2cef6ca1b32639cb29107f2a000fe81

See more details on using hashes here.

File details

Details for the file PyIBIS_AMI-4.0.3-py3-none-any.whl.

File metadata

  • Download URL: PyIBIS_AMI-4.0.3-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-4.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 ca124d8300b414c85ff7efc1e8a7d7293116648eae30d82d703f6f12bcc0434c
MD5 5eb7c3265db311722f43b87de05e9194
BLAKE2b-256 897ae48093913544dd35417f1cc0cb1c0e86cb7876ec2a92dd7dcea2437f2bc3

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