Skip to main content

Custom data structures and user-friendly functions for modeling with DOcplex

Project description

docplex-extensions

license pypi pyversions

CI Tests Coverage

A collection of custom data structures and user-friendly functions for mathematical optimization modeling with DOcplex — IBM® Decision Optimization CPLEX® Modeling for Python.

Features

  • Specialized data structures: For defining index-sets, parameters, and decision variables — enabling concise and high-performance algebraic modeling.
  • Easy access to additional CPLEX functionality: Like tuning tool, runseeds, displaying problem statistics and displaying solution quality statistics — not directly available in DOcplex.
  • Type-complete interface: Enables static type checking and intelligent auto-completion suggestions with modern IDEs — reducing type errors and improving development speed.
  • Robust codebase: 100% coverage spanning 1700+ test cases and fully type-checked with mypy under strict mode.

Links

Development

Dev dependencies can be installed with the pip extras dev.

  • Create HTML documentation locally with: docs/make html.
  • Run unit tests and functional tests with: pytest tests.
  • Run doctests with: pytest src.
  • Run static typing tests with: mypy tests/typing_tests.

License

docplex-extensions is an open-source project developed by Samarth Mistry and released under the Apache 2.0 License. See the LICENSE and NOTICE for more details.

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

docplex_extensions-1.1.0.tar.gz (44.6 kB view details)

Uploaded Source

Built Distribution

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

docplex_extensions-1.1.0-py3-none-any.whl (46.3 kB view details)

Uploaded Python 3

File details

Details for the file docplex_extensions-1.1.0.tar.gz.

File metadata

  • Download URL: docplex_extensions-1.1.0.tar.gz
  • Upload date:
  • Size: 44.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for docplex_extensions-1.1.0.tar.gz
Algorithm Hash digest
SHA256 729ff7f38b62809c4bb7c25b954257f7775ff167e8f1fbc14b5bef1e5de126d4
MD5 013e8392650d40620b6aaf85167e3b3e
BLAKE2b-256 e4949a369861944b6872ce79cc0b13d82b64120afd4f336c89a788e318d9765a

See more details on using hashes here.

Provenance

The following attestation bundles were made for docplex_extensions-1.1.0.tar.gz:

Publisher: release.yaml on samarthmistry/docplex-extensions

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file docplex_extensions-1.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for docplex_extensions-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1a645b6197468c9c55f712a8b0ece30ef1d74c72a88266eb4cf10e66f84e9471
MD5 2223d29092de487926dc4e84d78ddc80
BLAKE2b-256 d1ea8206edee3aa3a74e479a06440f0dde67ba2b90832f4fd1d4771ad7f81cc7

See more details on using hashes here.

Provenance

The following attestation bundles were made for docplex_extensions-1.1.0-py3-none-any.whl:

Publisher: release.yaml on samarthmistry/docplex-extensions

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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