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CLP also includes a barrier method for solving LPs.", "dev_url": "https://github.com/coin-or/Clp", "doc_source_url": null, "doc_url": null, "home": "https://projects.coin-or.org/Clp", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "EPL-2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": { "1.17.7": { "weak": [ "coin-or-clp >=1.17,<1.18.0a0" ] } }, "source_git_url": null, "source_url": "https://github.com/coin-or/Clp/archive/releases/1.17.7.tar.gz", "subdirs": [ "linux-ppc64le" ], "summary": "COIN-OR linear programming (Clp)", "tags": null, "text_prefix": true, "timestamp": 1709013592, "version": "1.17.7" }, "coin-or-osi": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "Osi (Open Solver Interface) provides an abstract base class to a generic linear programming (LP) solver, along with derived classes for specific solvers. 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Among others the following operations are supported: - creating the LP formulation; - directly modifying the formulation by adding rows/columns; - modifying the formulation by adding cutting planes provided by CGL; - solving the formulation (and resolving after modifications); - extracting solution information; - invoking the underlying solver's branch-and-bound component.", "dev_url": "https://github.com/coin-or/Osi", "doc_source_url": null, "doc_url": null, "home": "https://github.com/coin-or/Osi", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "EPL-2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": { "0.108.7": { "weak": [ "coin-or-osi >=0.108,<0.109.0a0" ] } }, "source_git_url": null, "source_url": "https://github.com/coin-or/Osi/archive/releases/0.108.7.tar.gz", "subdirs": [ "linux-ppc64le" ], "summary": "Coin OR Open Solver Interface (OSI)", "tags": null, "text_prefix": true, "timestamp": 1709013525, "version": "0.108.7" }, "coin-or-utils": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "CoinUtils (Coin-OR Utilities) is an open-source collection of classes and functions that are generally useful to more than one COIN-OR project. 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ONNX provides an open source format for AI models. It defines an extensible computation graph model, as well as definitions of built-in operators and standard data types. 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After modeling your problem in the programming language of your choice, you can use any of a half dozen solvers to solve it: commercial solvers such as Gurobi or CPLEX, or open-source solvers such as SCIP, GLPK, or Google's GLOP and award-winning CP-SAT.", "dev_url": "https://github.com/google/or-tools", "doc_source_url": null, "doc_url": null, "home": "https://developers.google.com/optimization", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "Apache-2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": null, "source_url": "https://github.com/google/or-tools/archive/v9.2.tar.gz", "subdirs": [ "linux-ppc64le" ], "summary": "Google Operations Research Tools (or-tools) python package", "tags": null, "text_prefix": false, "timestamp": 1711134386, "version": "9.2" }, "py-opencv": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "Computer vision and machine learning software library.", "dev_url": null, "doc_source_url": null, "doc_url": null, "home": "http://opencv.org/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "Apache-2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": { "4.6.0": { "weak": [ "py-opencv >=4.6.0,<5.0a0" ] } }, "source_git_url": null, "source_url": null, "subdirs": [ "linux-ppc64le" ], "summary": "Computer vision and machine learning software library.", "tags": null, "text_prefix": false, "timestamp": 1711130912, "version": "4.6.0" }, "pyarrow": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": null, "dev_url": null, "doc_source_url": null, "doc_url": null, "home": "http://github.com/apache/arrow", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "Apache-2.0", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": "https://github.com/apache/arrow/", "source_url": null, "subdirs": [ "linux-ppc64le" ], "summary": "Python libraries for Apache Arrow", "tags": null, "text_prefix": true, "timestamp": 1711130089, "version": "10.0.1" }, "pydeprecate": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "The common use-case is moving your functions across codebase or outsourcing some functionalities to new packages. For most of these cases, you want to hold some compatibility, so you cannot simply remove past function, and also for some time you want to warn users that functionality they have been using is moved and not it is deprecated in favor of another function (which shall be used instead) and soon it will be removed completely. Another good aspect is to do not overwhelm a user with too many warnings, so per function/class, this warning is raised only N times in the preferable stream (warning, logger, etc.).", "dev_url": "https://github.com/Borda/pyDeprecate", "doc_source_url": null, "doc_url": null, "home": "https://pypi.org/project/pyDeprecate/", "icon_hash": null, "icon_url": null, "identifiers": null, "keywords": null, "license": "MIT", "post_link": false, "pre_link": false, "pre_unlink": false, "recipe_origin": null, "run_exports": {}, "source_git_url": null, "source_url": "https://pypi.io/packages/source/p/pyDeprecate/pyDeprecate-0.3.2.tar.gz", "subdirs": [ "noarch" ], "summary": "Simple tooling for marking deprecated functions or classes and re-routing to the new successors' instance.", "tags": null, "text_prefix": false, "timestamp": 1709068023, "version": "0.3.2" }, "python-multipart": { "activate.d": false, "binary_prefix": false, "deactivate.d": false, "description": "python-multipart is an Apache2 licensed streaming multipart parser for Python. It's still under some development, but test coverage is currently 100%. 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