diff --git a/.github/workflows/github-ci.yml b/.github/workflows/github-ci.yml new file mode 100644 index 00000000..efaa1d7c --- /dev/null +++ b/.github/workflows/github-ci.yml @@ -0,0 +1,83 @@ +name: CI + +on: [push, pull_request] + +jobs: + + pre-commit: + + runs-on: ubuntu-22.04 + + steps: + + - uses: actions/checkout@v4 + + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: 3.11 + + - name: Upgrade pip + run: python -m pip install --upgrade pip + + - name: Install pre-commit + run: pip install pre-commit + + - name: Check pre-commit version + run: pre-commit --version + + - name: Set up hooks + run: pre-commit install + + - name: Check style + run: pre-commit run --all-files + + + test: + + runs-on: ${{ matrix.os }} + strategy: + fail-fast: false + matrix: + python-version: ["3.8", "3.9", "3.10", "3.11", "3.12", "3.13", "pypy3.9-v7.3.15"] + os: [macos-11, macos-12, ubuntu-20.04, ubuntu-22.04, windows-2019, windows-2022] + exclude: + # temporarily exclude pypy3 on mac-os as there failing tests caused by bug on cbc side + - os: macos-11 + python-version: "pypy3.9-v7.3.15" + - os: macos-12 + python-version: "pypy3.9-v7.3.15" + + steps: + + - uses: actions/checkout@v4 + + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python-version }} + architecture: x64 + cache: 'pip' + + - name: Check python version + run: python -c "import sys; import platform; print('Python %s implementation %s on %s' % (sys.version, platform.python_implementation(), sys.platform))" + + - name: Upgrade pip + run: python -m pip install --upgrade pip + + - name: Install test and numpy + run: python -m pip install .[test,numpy] + + - name: Install gurobi + if: ${{ matrix.python-version != 'pypy3.9-v7.3.15' }} + run: python -m pip install .[gurobi] + + - name: Install highs + if: ${{ !contains(matrix.os, 'windows') && !(matrix.os == 'ubuntu-22.04' && matrix.python-version == '3.9') }} + run: python -m pip install .[highs] + + - name: list installed packages + run: python -m pip list + + - name: Run tests + run: python -m pytest test --verbose --color=yes --doctest-modules -Werror diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml deleted file mode 100644 index bcfb4a7e..00000000 --- a/.github/workflows/test.yml +++ /dev/null @@ -1,98 +0,0 @@ -name: CI - -on: [push, pull_request] - -jobs: - - style: - - runs-on: ubuntu-latest - - steps: - - - uses: actions/checkout@v2 - - - name: Set up Python - uses: actions/setup-python@v1 - with: - python-version: 3.7 - - - name: Upgrade pip - run: python -m pip install --upgrade pip - - - name: Install dependencies - run: python -m pip install flake8 black - - - name: check style with black - run: python -m black mip --line-length=89 --check - - - name: check for unused imports with flake8 - run: python -m flake8 mip --select=F401 --exclude=__init__.py - - - test: - - runs-on: ${{ matrix.os }} - strategy: - fail-fast: false - matrix: - python-version: [3.5, 3.6, 3.7, 3.8, pypy3] - os: [macos-latest, ubuntu-18.04, ubuntu-16.04, windows-2019, windows-2016] - exclude: - # excludes pypy Windows because only 32 bit pypy is supported. - - os: windows-2019 - python-version: pypy3 - - os: windows-2016 - python-version: pypy3 - # temporarily exclude pypy3 on macos - - os: macos-latest - python-version: pypy3 - - steps: - - - uses: actions/checkout@v2 - - - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v1 - with: - python-version: ${{ matrix.python-version }} - - - name: Check python version - run: python -c "import sys; import platform; print('Python %s implementation %s on %s' % (sys.version, platform.python_implementation(), sys.platform))" - - - name: Upgrade pip - run: python -m pip install --upgrade pip - - - name: Get pip cache dir - id: pip-cache - run: | - echo "::set-output name=dir::$(pip cache dir)" - - - name: pip cache - uses: actions/cache@v2 - with: - path: ${{ steps.pip-cache.outputs.dir }} - key: ${{ runner.os }}-${{ matrix.python-version }}-pythonpip - - - name: Install dependencies CPython - if: ${{ matrix.python-version != 'pypy3' }} - run: python -m pip install cffi pytest networkx numpy matplotlib - - - name: Install dependencies PyPy - if: ${{ matrix.python-version == 'pypy3' && matrix.os != 'macos-latest' }} - run: python -m pip install cffi pytest networkx numpy - - - name: Install dependencies PyPy (macOS) - if: ${{ matrix.python-version == 'pypy3' && matrix.os == 'macos-latest' }} - run: python -m pip install cffi pytest networkx "numpy<=1.18.5" - - - name: Install mip - run: python -m pip install . - - - name: list installed packages - run: python -m pip list - - - name: run tests - run: | - python -m pytest test --verbose --color=yes --doctest-modules - python -m pytest mip --verbose --color=yes --doctest-modules --ignore="mip/gurobi.py" diff --git a/.gitignore b/.gitignore index a8f78e22..579a28e4 100644 --- a/.gitignore +++ b/.gitignore @@ -3,6 +3,9 @@ __pycache__/ *.py[cod] *$py.class +# Generated by setuptools_scm +mip/_version.py + # C extensions *.so @@ -115,3 +118,6 @@ venv.bak/ # JetBrains Intellij .idea/ + +# Vscode +.vscode/ diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 00000000..1cd6f26d --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,13 @@ +files: ^mip/ +exclude: ^mip/_version.py +repos: +- repo: https://github.com/psf/black + rev: 22.3.0 + hooks: + - id: black + args: [--line-length=89] +- repo: https://github.com/pycqa/flake8 + rev: 4.0.1 + hooks: + - id: flake8 + args: [--select=F401, --exclude=__init__.py] diff --git a/.travis.yml b/.travis.yml deleted file mode 100644 index 425f16fe..00000000 --- a/.travis.yml +++ /dev/null @@ -1,53 +0,0 @@ -language: python -cache: pip -install: - - python3 -m pip install cffi pytest flake8 networkx numpy>=1.17.0 matplotlib - - if [[ $TRAVIS_PYTHON_VERSION != 3.5 ]]; then python3 -m pip install black; fi - - python3 -m pip install . -script: - - if [[ $TRAVIS_PYTHON_VERSION != 3.5 ]]; then python3 -m black mip --line-length=89 --check; fi - - python3 -m flake8 mip --select=F401 --exclude=__init__.py # Look for unused imports - - python3 -m pytest test --verbose --color=yes --doctest-modules - - python3 -m pytest mip --verbose --color=yes --doctest-modules --ignore="mip/gurobi.py" -jobs: - include: - - name: "Python 3.5 on Linux" - os: linux - python: 3.5 - - name: "Python 3.6 on Linux" - os: linux - python: 3.6 - - name: "Python 3.7 on Linux" - os: linux - python: 3.7 - - name: "Python 3.8 on Linux" - os: linux - python: 3.8 - - name: "Python 3.6 on macOS 10.13" - os: osx - osx_image: xcode9.4 - env: PYTHON=36 - language: shell # 'language: python' is an error on Travis CI macOS - - name: "Python 3.7 on macOS 10.13" - os: osx - osx_image: xcode9.4 - env: PYTHON=37 - language: shell # 'language: python' is an error on Travis CI macOS - - name: "Python 3.6 on macOS 10.14.6" - os: osx - osx_image: xcode11.4 - env: PYTHON=36 - language: shell # 'language: python' is an error on Travis CI macOS - - name: "Python 3.6 on macOS 10.14.6" - os: osx - osx_image: xcode11.4 - env: PYTHON=37 - language: shell # 'language: python' is an error on Travis CI macOS - - name: "Python 3.8 on Windows" - os: windows # Windows 10.0.17134 N/A Build 17134 - language: shell # 'language: python' is an error on Travis CI Windows - before_install: - - choco install python --version 3.8.3 - - python -m pip install --upgrade pip - - cp /c/Python38/python.exe /c/Python38/python3.exe - env: PATH=/c/Python38:/c/Python38/Scripts:$PATH diff --git a/NEWS b/NEWS deleted file mode 100644 index 627c0b96..00000000 --- a/NEWS +++ /dev/null @@ -1,29 +0,0 @@ -1.7.0 -~~~~~ - -- now specific generators can be called outside the tree search to strengthen -your formulation with the generate_cuts method. This is a CBC only feature -(Gurobi does not allow access to its cut generators). - -- A stability fix for CBC is included: in some cases an incorrect -solution/optimization status was produced in searches truncated by time. - -1.6.0 -~~~~~ - -- selection of which linear programming method (Primal Simplex, Dual Simplex or - Barrier) will be used to solve the root node relaxation (lp_method attribute - of Model) - -- read/write property RHS in Constraint - -- pytest for tests - thanks @pmla - -- do not throw exception when querying an unavailable solution: just return - None instead, to fix problem in some debuggers - -- improved documentation - specially for the examples - - - - diff --git a/README.md b/README.md index d4bb94af..c332730e 100644 --- a/README.md +++ b/README.md @@ -41,7 +41,7 @@ Some of the main features of MIP are: different solvers are handled by Python-MIP and you write only one solver independent code; -* written in modern [typed](https://docs.python.org/3/library/typing.html) Python 3 (requires Python 3.5 or newer). +* written in modern [typed](https://docs.python.org/3/library/typing.html) Python 3 (requires Python 3.8 or newer). ## Examples @@ -59,12 +59,11 @@ https://python-mip.readthedocs.io/_/downloads/en/latest/pdf/ ## Mailing list -Questions, suggestions and development news can be posted at the [Python-MIP -google group](https://groups.google.com/forum/#!forum/python-mip). +Questions, suggestions and feature request can be posted at [Discussions](https://github.com/coin-or/python-mip/discussions). -## Build status +## Build status -[![Github Actions Status](https://github.com/coin-or/python-mip/workflows/CI/badge.svg?branch=master)](https://github.com/coin-or/python-mip/actions) +[![CI](https://github.com/coin-or/python-mip/actions/workflows/github-ci.yml/badge.svg)](https://github.com/coin-or/python-mip/actions/workflows/github-ci.yml) [![Current version](https://badge.fury.io/gh/coin-or%2Fpython-mip.svg)](https://github.com/coin-or/python-mip/releases) [![Current total of lines](https://tokei.rs/b1/github/coin-or/python-mip?category=lines)](https://github.com/coin-or/python-mip) [![License](https://img.shields.io/badge/license-EPL-blue.svg)](https://github.com/coin-or/python-mip/blob/master/LICENSE) diff --git a/TODO.md b/TODO.md deleted file mode 100644 index 6fa9af21..00000000 --- a/TODO.md +++ /dev/null @@ -1,55 +0,0 @@ ---- -title: Commented TODO list for Python-MIP ---- - -Stopping criterion ------------------- - -Iterations/time without improving feasible solution -similar to #40 - -Numpy and Scipy support ------------------------ - -Improvement #12 - -Some problems are more easily specified in matrix notation. -Input and output of problem models using numpy would allow an easier integration with numba, for instance, which would be great for maximum performance. - -Column generation ------------------ - -Add example(s) with column generation - -Quadratic programming ---------------------- - -It would be easy to add the possibility of modelling x1*x2 if both are binary variables since they can be easily internally replaced by an auxiliary variable y that represents the linearization of this expression. - -Jupyter Notebooks ------------------ - -Add some Jupyter notebooks with visualization of solutions (routes). Jupyter notebooks also allow a better output of tables for solution visualization. It seems that nbsphinx and jupyter-sphinx are good tools. - -Method to generate cutting planes ---------------------------------- - -It would be nice to be able to call the CBC procedures for generating specific types of cuts. This would ease the comparison of new cuts with the existing ones and also ease the development of cutting plane algorithms where one wants to evaluate the performance of a new type of cut when included in an existing cutting plane framework. One drawback is that it would be a CBC only feature since gurobi does not allows access to the generated cuts. - -Rapsberry pi ------------- - -Support this platform - right now no developer access to this hardware - -More CBC tests (in CBC) ------------------------ - -The stability of Python-MIP depends directly on the stability of the COIN-OR CBC solver. Thus, it would be good to improve the automated tests in CBC, including modern CBC features such as lazy constraints in additional tests. - -- AVX optional in CBC -- feasopt -- cg examples -- option to strengthen formulation with cuts -- cplex support - - diff --git a/bench/.ycm_extra_conf.py b/benchmarks/.ycm_extra_conf.py similarity index 100% rename from bench/.ycm_extra_conf.py rename to benchmarks/.ycm_extra_conf.py diff --git a/bench/bench.sh b/benchmarks/bench.sh similarity index 100% rename from bench/bench.sh rename to benchmarks/bench.sh diff --git a/bench/bmcp.py b/benchmarks/bmcp.py similarity index 100% rename from bench/bmcp.py rename to benchmarks/bmcp.py diff --git a/bench/bmcp_data.py b/benchmarks/bmcp_data.py similarity index 100% rename from bench/bmcp_data.py rename to benchmarks/bmcp_data.py diff --git a/bench/bmcp_sol.py b/benchmarks/bmcp_sol.py similarity index 100% rename from bench/bmcp_sol.py rename to benchmarks/bmcp_sol.py diff --git a/bench/data/bmcp/GEOM110.col b/benchmarks/data/bmcp/GEOM110.col similarity index 100% rename from bench/data/bmcp/GEOM110.col rename to benchmarks/data/bmcp/GEOM110.col diff --git a/bench/data/bmcp/GEOM30.col b/benchmarks/data/bmcp/GEOM30.col similarity index 100% rename from bench/data/bmcp/GEOM30.col rename to benchmarks/data/bmcp/GEOM30.col diff --git a/bench/data/bmcp/GEOM50.col b/benchmarks/data/bmcp/GEOM50.col similarity index 100% rename from bench/data/bmcp/GEOM50.col rename to benchmarks/data/bmcp/GEOM50.col diff --git a/bench/data/bmcp/GEOM70.col b/benchmarks/data/bmcp/GEOM70.col similarity index 100% rename from bench/data/bmcp/GEOM70.col rename to benchmarks/data/bmcp/GEOM70.col diff --git a/bench/data/bmcp/GEOM90.col b/benchmarks/data/bmcp/GEOM90.col similarity index 100% rename from bench/data/bmcp/GEOM90.col rename to benchmarks/data/bmcp/GEOM90.col diff --git a/bench/data/bmcp/colors.csv b/benchmarks/data/bmcp/colors.csv similarity index 100% rename from bench/data/bmcp/colors.csv rename to benchmarks/data/bmcp/colors.csv diff --git a/bench/data/rcpsp/j1201_1.sm b/benchmarks/data/rcpsp/j1201_1.sm similarity index 100% rename from bench/data/rcpsp/j1201_1.sm rename to benchmarks/data/rcpsp/j1201_1.sm diff --git a/bench/data/rcpsp/j301_1.sm b/benchmarks/data/rcpsp/j301_1.sm similarity index 100% rename from bench/data/rcpsp/j301_1.sm rename to benchmarks/data/rcpsp/j301_1.sm diff --git a/bench/data/rcpsp/j601_1.sm b/benchmarks/data/rcpsp/j601_1.sm similarity index 100% rename from bench/data/rcpsp/j601_1.sm rename to benchmarks/data/rcpsp/j601_1.sm diff --git a/bench/queens-gurobi.py b/benchmarks/queens-gurobi.py similarity index 100% rename from bench/queens-gurobi.py rename to benchmarks/queens-gurobi.py diff --git a/bench/queens-jump.csv b/benchmarks/queens-jump.csv similarity index 100% rename from bench/queens-jump.csv rename to benchmarks/queens-jump.csv diff --git a/bench/queens-pulp.py b/benchmarks/queens-pulp.py similarity index 100% rename from bench/queens-pulp.py rename to benchmarks/queens-pulp.py diff --git a/bench/queens.ods b/benchmarks/queens.ods similarity index 100% rename from bench/queens.ods rename to benchmarks/queens.ods diff --git a/bench/queens.py b/benchmarks/queens.py similarity index 100% rename from bench/queens.py rename to benchmarks/queens.py diff --git a/bench/rcpsp.py b/benchmarks/rcpsp.py similarity index 100% rename from bench/rcpsp.py rename to benchmarks/rcpsp.py diff --git a/docs/custom.rst b/docs/custom.rst index 7713394a..6cff5c10 100644 --- a/docs/custom.rst +++ b/docs/custom.rst @@ -16,7 +16,7 @@ Cutting Planes In many applications there are `strong formulations `_ that may include an exponential number of constraints. These formulations cannot be direct handled by the MIP Solver: entering all these constraints at once is usually not practical, except for very small instances. In the `Cutting Planes `_ [Dantz54]_ method the LP relaxation is solved and only constraints which are *violated* are inserted. The model is re-optimized and at each iteration a stronger formulation is obtained until no more violated inequalities are found. The problem of discovering which are the missing violated constraints is also an optimization problem (finding *the most* violated inequality) and it is called the *Separation Problem*. -As an example, consider the Traveling Salesman Problem. The compact formulation (:numref:`tsp-label`) is a *weak* formulation: dual bounds produced +As an example, consider the Traveling Salesman Problem. The :ref:`compact formulation ` is a *weak* formulation: dual bounds produced at the root node of the search tree are distant from the optimal solution cost and improving these bounds requires a potentially intractable number of branchings. In this case, the culprit are the sub-tour elimination constraints diff --git a/docs/examples.rst b/docs/examples.rst index 0c95632a..1a3eeb4e 100644 --- a/docs/examples.rst +++ b/docs/examples.rst @@ -34,9 +34,9 @@ The following python code creates, optimizes and prints the optimal solution for :linenos: :lines: 3-21 -Line 3 imports the required classes and definitions from Python-MIP. Lines 5-8 define the problem data. Line 10 creates an empty maximization -problem :code:`m` with the (optional) name of "knapsack". Line 12 adds the binary decision variables to model :code:`m` and stores their references in a list :code:`x`. Line 14 defines the objective function of this model and line 16 adds the capacity constraint. The model is optimized in line 18 and the solution, a list of the selected -items, is computed at line 20. +Line 1 imports the required classes and definitions from Python-MIP. Lines 3-5 define the problem data. Line 7 creates an empty maximization +problem :code:`m` with the (optional) name of "knapsack". Line 9 adds the binary decision variables to model :code:`m` and stores their references in a list :code:`x`. Line 11 defines the objective function of this model and line 13 adds the capacity constraint. The model is optimized in line 15 and the solution, a list of the selected +items, is computed at line 17. .. _tsp-label: @@ -221,7 +221,7 @@ The Resource-Constrained Project Scheduling Problem (RCPSP) is a combinatorial optimization problem that consists of finding a feasible scheduling for a set of :math:`n` jobs subject to resource and precedence constraints. Each job has a processing time, a set of successors jobs and a required amount of different -resources. Resources are scarce but are renewable at each time period. +resources. Resources may be scarce but are renewable at each time period. Precedence constraints between jobs mean that no jobs may start before all its predecessors are completed. The jobs must be scheduled non-preemptively, i.e., once started, their processing cannot be interrupted. @@ -252,40 +252,39 @@ The RCPSP has the following input data: In addition to the jobs that belong to the project, the set :math:`\mathcal{J}` -contains the jobs :math:`x_{0}` and :math:`x_{n+1}`. These jobs are dummy jobs and -represent the beginning of the planning and the end of the planning. The -processing time for the dummy jobs is zero and does not consume resources. +contains jobs :math:`0` and :math:`n+1`, which are dummy jobs that +represent the beginning and the end of the planning, respectively. The +processing time for the dummy jobs is always zero and these jobs do not consume +resources. A binary programming formulation was proposed by Pritsker et al. [PWW69]_. In this formulation, decision variables :math:`x_{jt} = 1` if job -:math:`j` is assigned a completion time at the end of time :math:`t`; -otherwise, :math:`x_{jt} = 0`. All jobs must finish in a single instant of -time without violating the relationships of precedence and amount of -available resources. The model proposed by Pristker can be stated as -follows: +:math:`j` is assigned to begin at time :math:`t`; otherwise, :math:`x_{jt} = 0`. +All jobs must finish in a single instant of time without violating precedence constraints +while respecting the amount of available resources. +The model proposed by Pristker can be stated as follows: .. math:: \textrm{Minimize} & \\ - & \sum_{t\in \mathcal{T}} (t-1).x_{(n+1,t)}\\ + & \sum_{t\in \mathcal{T}} t\cdot x_{(n+1,t)}\\ \textrm{Subject to:} & \\ - \sum_{t\in \mathcal{T}} x_{(j,t)} & = 1 \,\,\, \forall j\in J \cup \{n+1\}\\ - \sum_{j\in J} \sum_{t'=t-p_{j}+1} u_{(j,r)}x_{(j,t')} & \leq c_{r} \,\,\, \forall t\in \mathcal{T}, r \in R\\ - \sum_{t\in \mathcal{T}} t.x_{(s,t)} - \sum_{t \in \mathcal{T}} t.x_{(j,t)} & \geq p_{j} \,\,\, \forall (j,s) \in S\\ - x_{(j,t)} & \in \{0,1\} \,\,\, \forall j\in J \cup \{n+1\}, t \in \mathcal{T} + \sum_{t\in \mathcal{T}} x_{(j,t)} & = 1 \,\,\, \forall j\in J\\ + \sum_{j\in J} \sum_{t_2=t-p_{j}+1}^{t} u_{(j,r)}x_{(j,t_2)} & \leq c_{r} \,\,\, \forall t\in \mathcal{T}, r \in R\\ + \sum_{t\in \mathcal{T}} t\cdot x_{(s,t)} - \sum_{t \in \mathcal{T}} t\cdot x_{(j,t)} & \geq p_{j} \,\,\, \forall (j,s) \in S\\ + x_{(j,t)} & \in \{0,1\} \,\,\, \forall j\in J, t \in \mathcal{T} -An instance is shown below. The figure shows a graph where jobs :math:`\mathcal{J}` +An instance is shown below. The figure shows a graph where jobs in :math:`\mathcal{J}` are represented by nodes and precedence relations :math:`\mathcal{S}` are represented -by directed edges. Arc weights represent the time-consumption :math:`p_{j}`, while -the information about resource consumption :math:`u_{(j,r)}` is included next to the -graph. This instance contains 10 jobs and 2 renewable resources -(:math:`\mathcal{R}=\{r_{1}, r_{2}\}`), where :math:`c_{1}` = 6 and :math:`c_{2}` = 8. The -time horizon :math:`\mathcal{T}` can be estimated by summing the duration of all -jobs. - - -.. image:: ./images/rcpsp.* +by directed edges. The time-consumption :math:`p_{j}` and all +information concerning resource consumption :math:`u_{(j,r)}` are included next to the +graph. This instance contains 10 jobs and 2 renewable resources, +:math:`\mathcal{R}=\{r_{1}, r_{2}\}`, where :math:`c_{1}` = 6 and :math:`c_{2}` = 8. +Finally, a valid (but weak) upper bound on the time horizon :math:`\mathcal{T}` +can be estimated by summing the duration of all jobs. + +.. image:: ./images/rcpsp.png :width: 80% :align: center @@ -295,15 +294,17 @@ for RCPSP is included below: .. literalinclude:: ../examples/rcpsp.py :caption: Solves the Resource Constrained Project Scheduling Problem: rcpsp.py :linenos: - :lines: 3-42 + :lines: 3-43 -The optimal solution is shown bellow, from the viewpoint of resource -consumption: +One optimum solution is shown bellow, from the viewpoint of resource consumption. .. image:: ./images/rcpsp-opt.* :width: 80% :align: center +It is noteworthy that this particular problem instance has multiple optimal solutions. +Keep in the mind that the solver may obtain a different optimum solution. + Job Shop Scheduling Problem --------------------------- @@ -435,7 +436,7 @@ given below: This formulation can be improved by including symmetry reducing constraints, such as: .. math:: - y_{j-1} \geq y_{j} \;\; \forall j \in \{ 2 \ldots m \} \\ + y_{j-1} \geq y_{j} \;\; \forall j \in \{ 2 \ldots n \} \\ The following Python-MIP code creates the formulation proposed by @@ -446,11 +447,13 @@ The following Python-MIP code creates the formulation proposed by :linenos: :lines: 4-39 +Note in the code above that argument :code:`obj` was employed to create the variables (see lines 11 and 13). By setting :code:`obj` to a value different than zero, the created variable is automatically added to the objective function with coefficient equal to :code:`obj`'s value. + Two-Dimensional Level Packing ----------------------------- -In some industries, raw material must be cut in several pieces of specified size. Here we consider the case where these pieces are *rectangular* [LMM02]_. Also, due to machine operation constraints, pieces should be grouped horizontally such that firstly, horizontal layers are cut with the height of the largest item in the group and secondly, these horizontal layers are then cut according to items widths. Raw material is provided in rolls with large height. To minimize waste, a given batch of items must be cut using the minimum possible total height to minimize waste. +In some industries, raw material must be cut in several pieces of specified size. Here we consider the case where these pieces are *rectangular* [LMM02]_. Also, due to machine operation constraints, pieces should be grouped horizontally such that firstly, horizontal layers are cut with the height of the largest item in the group and secondly, these horizontal layers are then cut according to items widths. Raw material is provided in rolls with large height. To minimize waste, a given batch of items must be cut using the minimum possible total height. Formally, the following input data defines an instance of the Two Dimensional Level Packing Problem (TDLPP): diff --git a/docs/extern.rst b/docs/extern.rst index 92e8ec58..084e52da 100644 --- a/docs/extern.rst +++ b/docs/extern.rst @@ -21,3 +21,4 @@ other Python tools. :width: 40% :align: center +- `Formulation for the Vehicle Routing Problem with Time Windows (VRPTW) `__, by Krishnendu Mukherjee, includes a model for the VRPTW coded in Python-MIP. diff --git a/docs/images/rcpsp.png b/docs/images/rcpsp.png index e79a2ada..61106ca4 100644 Binary files a/docs/images/rcpsp.png and b/docs/images/rcpsp.png differ diff --git a/docs/install.rst b/docs/install.rst index 8a7e1898..7e02b308 100644 --- a/docs/install.rst +++ b/docs/install.rst @@ -76,3 +76,62 @@ Please note that CBC uses multiple libraries which are installed in the same dir export LD_LIBRARY_PATH="/home/haroldo/prog/lib/":$LD_LIBRARY_PATH In Linux, to make these changes persistent, you may also want to add the :code:`export` lines to your :code:`.bashrc`. + +Docker installation (optional) +------------------------------ + +It is also possible to containerize the above build process using Docker. The following dockerfile shows how to build CBC for Python-MIP for an linux/arm/v6 platform (i.e., a Raspberry Pi 2 B). The dockerfile starts from Alpine Linux, which requires slightly different libraries than the Debian libraries above. Depending on your :code:`requirements.txt`, you may need to install additional libraries in the :code:`apk add` command. The dockerfile does not include the optional dependencies of CBC (:code:`libamd2 libcholmod3 libmetis-dev libsuitesparse-dev libnauty2-dev`). + +.. code-block:: sh + + # syntax=docker/dockerfile:1 + FROM arm32v6/python:3.7-alpine3.15 AS builder + RUN apk add --no-cache \ + bash \ + gcc \ + gfortran \ + git \ + g++ \ + libffi-dev \ + libgfortran \ + lapack-dev \ + make \ + patch + RUN wget https://raw.githubusercontent.com/coin-or/coinbrew/master/coinbrew + RUN chmod u+x coinbrew + RUN ./coinbrew fetch Cbc@master + RUN ./coinbrew build Cbc@master --prefix=/home/haroldo/prog/ --tests=none --enable-cbc-parallel --enable-relocatable + COPY requirements.txt requirements.txt + RUN mkdir /pip-install && pip3 install --prefix=/pip-install -r requirements.txt + + FROM arm32v6/python:3.7-alpine3.15 + RUN apk add --no-cache \ + libffi-dev \ + libgfortran \ + lapack-dev \ + libstdc++6 + COPY --from=builder /home/haroldo/prog /home/haroldo/prog/ + COPY --from=builder /pip-install /usr/local + COPY . . + ENV PMIP_CBC_LIBRARY="/home/haroldo/prog/lib/libCbc.so" + ENV PATH=$PATH:/home/haroldo/prog/bin + RUN chmod u+x ./entrypoint.sh + ENTRYPOINT ["./entrypoint.sh"] + +There are two ways to build this dockerfile. The first option is to build on the same device as where your run the code. In case of the Raspberry Pi, you need a lot of patience (more than 12 hours) to build using the following command: + +.. code-block:: sh + + docker build -t . + +The second option is to build on a fast device and deploy on another. Most likely, your development machine does not have the linux/arm/v6 architecture, and you require cross-compilation with :code:`buildx`. This option requires an account at `Docker Hub `_. You can run the following to build the code: + +.. code-block:: sh + + docker buildx create --name mybuilder + docker buildx use mybuilder + docker buildx inspect --bootstrap + docker login + docker buildx build --platform linux/arm/v6 -t / . --push + + diff --git a/docs/intro.rst b/docs/intro.rst index ceb307fe..4c6092d5 100644 --- a/docs/intro.rst +++ b/docs/intro.rst @@ -40,6 +40,17 @@ performance of application specific solvers. Finally, the detailed reference information for the main classes is included in :ref:`Chapter 6 `. +Releases and Source Code +------------------------ + +Python-MIP's source code is available at GitHub on (`github.com/coin-or/python-mip `_). +Releases may be downloaded/installed via PIP (see :ref:`next Chapter `) or from our GitHub `Releases `_ page. + +Getting help +------------ + +Questions, suggestions and feature request can be posted in our GitHub `Discussions `_ page. + Acknowledgments --------------- diff --git a/docs/python-mip_theme/static/lib/jquery/jquery.min.js b/docs/python-mip_theme/static/lib/jquery/jquery.min.js index 4d9b3a25..94276052 100644 --- a/docs/python-mip_theme/static/lib/jquery/jquery.min.js +++ b/docs/python-mip_theme/static/lib/jquery/jquery.min.js @@ -1,2 +1,2 @@ -/*! jQuery v3.3.1 | (c) JS Foundation and other contributors | jquery.org/license */ -!function(e,t){"use strict";"object"==typeof module&&"object"==typeof 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