Skip to main content

Tool for estimating growth rates

Project description

About

This module provides a CLI tool for rough approximations according to a catalog of prescribed growth rates.

The tool currently features most well-known classes of growth rates and works by fitting each generic growth rate function to the given data.

Its primary use case is estimating time or space growth rates of various algorithms, but it can also be used on data coming from physical measurements.

Install

To install from pypi:

pip3 install --user matchgrowth

Usage

The CLI tool expects --infile with a valid CSV file path, and --col1 and --col2 each with a column name present in the CSV file. Currently the CSV file needs to have headers for all columns, in the first row.

The --top parameter allows to limit the number of matched growth rates reported.

The --outfile parameter is optional and allows to write the generated plot to a PNG file on disk. If the --outfile parameter is not passed, the default GUI from matplotlib will be used to display the plot.

usage: match-growth.py [-h] --infile INFILE [--outfile OUTFILE] --col1 COL1
                       --col2 COL2 [--top TOP] [--catalog CATALOG] [--debug]
                       [--plot PLOT_TYPE]

Tool for estimating growth rates

optional arguments:
  -h, --help         show this help message and exit
  --infile INFILE    CSV input file with measurements
  --outfile OUTFILE  PNG file to write the plot to
  --col1 COL1        data column 1 from the CSV
  --col2 COL2        data column 2 from the CSV
  --top TOP          only print top N closest growth rates
  --catalog CATALOG  select the function catalog to use
  --debug            enable debug mode
  --plot PLOT_TYPE   plot type (normal|loglog)

Example usage:

match-growth.py --infile ./tests/modif7_bench.txt --outfile r1.png --col1 N --col2 memory --top 2

In this example we're estimating the closest growth rate for an algorithm that has a single input N and for which we've already recorded the memory usage for different values of N.

drawing

Support

For questions or requests for paid support, please send an e-mail to business@garage-coding.com

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

matchgrowth-0.0.9.tar.gz (5.1 kB view details)

Uploaded Source

Built Distribution

matchgrowth-0.0.9-py3-none-any.whl (6.4 kB view details)

Uploaded Python 3

File details

Details for the file matchgrowth-0.0.9.tar.gz.

File metadata

  • Download URL: matchgrowth-0.0.9.tar.gz
  • Upload date:
  • Size: 5.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.7.3

File hashes

Hashes for matchgrowth-0.0.9.tar.gz
Algorithm Hash digest
SHA256 f7a7c35e25290fbc13116b09d469eb5d5db28544f31de5924b3cb71dba5247fe
MD5 d53c00818cef95508a257017aa546b35
BLAKE2b-256 22d3f6f9cf2387241d0b42701c70912359e4fe58e8daf1e93543fc4df3d90519

See more details on using hashes here.

File details

Details for the file matchgrowth-0.0.9-py3-none-any.whl.

File metadata

  • Download URL: matchgrowth-0.0.9-py3-none-any.whl
  • Upload date:
  • Size: 6.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.54.1 CPython/3.7.3

File hashes

Hashes for matchgrowth-0.0.9-py3-none-any.whl
Algorithm Hash digest
SHA256 cb2080c4f7a3bf5244965adad23b93136ee04c76ab2810d8b440f69d2283ab07
MD5 5aad0a7d32252b7e33cc6ca962e471ae
BLAKE2b-256 ed039cad1f5cd648cb7c0d57c06b80065c70ffa0ffd4494598317b7942652a06

See more details on using hashes here.

Supported by

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