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Author: metab0t

constraint.html

@@ -307,12 +307,12 @@ <h1>Constraint<a class="headerlink" href="#constraint" title="Link to this headi
 </div>
 </div>
 <div class="cell_output docutils container">
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-27 09:01:04 [INFO] checks license for COPT v7.2.4 20241206
-2025-01-27 09:01:04 [WARN] no license files in current working folder: /home/runner/work/PyOptInterface/PyOptInterface/docs/source
-2025-01-27 09:01:04 [WARN] no license files in binary folder: /opt/hostedtoolcache/Python/3.12.8/x64/bin
-2025-01-27 09:01:04 [WARN] no license files in HOME folder: /home/runner/copt
-2025-01-27 09:01:04 [INFO] empty environment variable: COPT_LICENSE_DIR
-2025-01-27 09:01:04 [WARN] no license files in EV &#39;COPT_LICENSE_DIR&#39;: 
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2025-01-27 09:12:58 [INFO] checks license for COPT v7.2.4 20241206
+2025-01-27 09:12:58 [WARN] no license files in current working folder: /home/runner/work/PyOptInterface/PyOptInterface/docs/source
+2025-01-27 09:12:58 [WARN] no license files in binary folder: /opt/hostedtoolcache/Python/3.12.8/x64/bin
+2025-01-27 09:12:58 [WARN] no license files in HOME folder: /home/runner/copt
+2025-01-27 09:12:58 [INFO] empty environment variable: COPT_LICENSE_DIR
+2025-01-27 09:12:58 [WARN] no license files in EV &#39;COPT_LICENSE_DIR&#39;: 
 
 No license found. Starting COPT with size limitations for non-commercial use
 Please apply for a license from www.shanshu.ai/copt
@@ -624,7 +624,7 @@ <h2>Create constraint with comparison operator<a class="headerlink" href="#creat
 </div>
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-<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;pyoptinterface._src.core_ext.ConstraintIndex at 0x7f04d0cf4a10&gt;
+<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;pyoptinterface._src.core_ext.ConstraintIndex at 0x7fe3dc6f44b0&gt;
 </pre></div>
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 </div>

examples/economic_dispatch.html

@@ -417,14 +417,14 @@ <h2>Implementation<a class="headerlink" href="#implementation" title="Link to th
   Iteration        Objective     NullspaceDim
           0         14328.52                0      0.00s
         100        12722.021                1      0.00s
+TerminationStatusCode.OPTIMAL
+Objective value:  12684.0
         108        12684.021                0      0.00s
 Model status        : Optimal
 Simplex   iterations: 63
 QP ASM    iterations: 108
 Objective value     :  1.2684000000e+04
 HiGHS run time      :          0.00
-TerminationStatusCode.OPTIMAL
-Objective value:  12684.0
 </pre></div>
 </div>
 </div>
@@ -487,7 +487,7 @@ <h2>Change the load and solve the model again<a class="headerlink" href="#change
   Bound  [5e+01, 1e+02]
   RHS    [2e+01, 2e+02]
   Iteration        Objective     NullspaceDim
-          0        15430.248                0      0.00s
+          0        15430.248                0      0.01s
         100        14091.031                3      0.01s
         169        13740.237               10      0.01s
 Model status        : Optimal

examples/optimal_control_rocket.html

@@ -480,7 +480,7 @@ <h2>Implementation<a class="headerlink" href="#implementation" title="Link to th
 Number of equality constraint Jacobian evaluations   = 24
 Number of inequality constraint Jacobian evaluations = 0
 Number of Lagrangian Hessian evaluations             = 23
-Total CPU secs in IPOPT (w/o function evaluations)   =      0.110
+Total CPU secs in IPOPT (w/o function evaluations)   =      0.118
 Total CPU secs in NLP function evaluations           =      0.004
 
 EXIT: Optimal Solution Found.

expression.html

@@ -364,8 +364,8 @@ <h2>Efficient expression construction<a class="headerlink" href="#efficient-expr
 </div>
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-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>CPU times: user 728 μs, sys: 0 ns, total: 728 μs
-Wall time: 733 μs
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>CPU times: user 778 μs, sys: 0 ns, total: 778 μs
+Wall time: 782 μs
 </pre></div>
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 </div>
@@ -377,8 +377,8 @@ <h2>Efficient expression construction<a class="headerlink" href="#efficient-expr
 </div>
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-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>CPU times: user 20.3 ms, sys: 12 μs, total: 20.3 ms
-Wall time: 20.1 ms
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>CPU times: user 19.9 ms, sys: 159 μs, total: 20.1 ms
+Wall time: 19.9 ms
 </pre></div>
 </div>
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infeasibility.html

@@ -317,21 +317,19 @@ <h1>Infeasibility Analysis<a class="headerlink" href="#infeasibility-analysis" t
 </div>
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-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Constraint 1 IIS: True2025-01-27 09:01:13 [INFO] checks license for COPT v7.2.4 20241206
-2025-01-27 09:01:13 [WARN] no license files in current working folder: /home/runner/work/PyOptInterface/PyOptInterface/docs/source
-2025-01-27 09:01:13 [WARN] no license files in binary folder: /opt/hostedtoolcache/Python/3.12.8/x64/bin
-2025-01-27 09:01:13 [WARN] no license files in HOME folder: /home/runner/copt
-2025-01-27 09:01:13 [INFO] empty environment variable: COPT_LICENSE_DIR
-2025-01-27 09:01:13 [WARN] no license files in EV &#39;COPT_LICENSE_DIR&#39;: 
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Constraint 1 IIS: True2025-01-27 09:13:06 [INFO] checks license for COPT v7.2.4 20241206
+2025-01-27 09:13:06 [WARN] no license files in current working folder: /home/runner/work/PyOptInterface/PyOptInterface/docs/source
+2025-01-27 09:13:06 [WARN] no license files in binary folder: /opt/hostedtoolcache/Python/3.12.8/x64/bin
+2025-01-27 09:13:06 [WARN] no license files in HOME folder: /home/runner/copt
+2025-01-27 09:13:06 [INFO] empty environment variable: COPT_LICENSE_DIR
+2025-01-27 09:13:06 [WARN] no license files in EV &#39;COPT_LICENSE_DIR&#39;: 
 
 No license found. Starting COPT with size limitations for non-commercial use
 Please apply for a license from www.shanshu.ai/copt
 
 
 Constraint 2 IIS: True
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>No license found. LP size is limited to 10000 variables and 10000 constraints
+No license found. LP size is limited to 10000 variables and 10000 constraints
 Please apply for a license from www.shanshu.ai/copt
 
 Model fingerprint: 43b22f9c

model.html

@@ -424,13 +424,11 @@ <h2>Inspect and customize the model<a class="headerlink" href="#inspect-and-cust
   Iteration        Objective     NullspaceDim
           0                1                0      0.00s
           2       0.50000002                1      0.00s
-Objective value: 0.49999999999999994
-</pre></div>
-</div>
-<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Model status        : Optimal
+Model status        : Optimal
 QP ASM    iterations: 2
 Objective value     :  5.0000000000e-01
 HiGHS run time      :          0.00
+Objective value: 0.49999999999999994
 </pre></div>
 </div>
 </div>

nonlinear.html

@@ -555,7 +555,7 @@ <h2>Nonlinear constraints and objectives<a class="headerlink" href="#nonlinear-c
 Number of equality constraint Jacobian evaluations   = 0
 Number of inequality constraint Jacobian evaluations = 11
 Number of Lagrangian Hessian evaluations             = 10
-Total CPU secs in IPOPT (w/o function evaluations)   =      0.006
+Total CPU secs in IPOPT (w/o function evaluations)   =      0.004
 Total CPU secs in NLP function evaluations           =      0.000
 
 EXIT: Optimal Solution Found.
@@ -679,8 +679,9 @@ <h2>Nonlinear constraints and objectives<a class="headerlink" href="#nonlinear-c
   12  2.8189505e-09 0.00e+00 8.31e-04  -2.5 3.20e-03    -  1.00e+00 1.00e+00f  1
   13  1.0095040e-15 0.00e+00 8.68e-07  -5.7 9.78e-05    -  1.00e+00 1.00e+00f  1
   14  1.3288608e-28 0.00e+00 2.02e-13  -8.6 4.65e-08    -  1.00e+00 1.00e+00f  1
-
-Number of Iterations....: 14
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Number of Iterations....: 14
 
                                    (scaled)                 (unscaled)
 Objective...............:   1.3288608467480825e-28    1.3288608467480825e-28
@@ -784,8 +785,9 @@ <h2>Mixing nonlinear and linear/quadratic constraints together<a class="headerli
    2  3.5000000e+02 0.00e+00 0.00e+00  -3.8 0.00e+00  -2.0 1.00e+00 1.00e+00T  0
    3  3.5000000e+02 0.00e+00 0.00e+00  -5.7 0.00e+00   0.2 1.00e+00 1.00e+00T  0
    4  3.5000000e+02 0.00e+00 0.00e+00  -8.6 0.00e+00  -0.2 1.00e+00 1.00e+00T  0
-
-Number of Iterations....: 4
+</pre></div>
+</div>
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Number of Iterations....: 4
 
                                    (scaled)                 (unscaled)
 Objective...............:   3.5000000000000318e+02    3.5000000000000318e+02
@@ -802,7 +804,7 @@ <h2>Mixing nonlinear and linear/quadratic constraints together<a class="headerli
 Number of equality constraint Jacobian evaluations   = 5
 Number of inequality constraint Jacobian evaluations = 0
 Number of Lagrangian Hessian evaluations             = 4
-Total CPU secs in IPOPT (w/o function evaluations)   =      0.026
+Total CPU secs in IPOPT (w/o function evaluations)   =      0.024
 Total CPU secs in NLP function evaluations           =      0.001
 
 EXIT: Optimal Solution Found.

numpy.html

@@ -450,28 +450,21 @@ <h2>Built-in functions to add variables and constraints as Numpy <code class="do
 <div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Running HiGHS 1.9.0 (git hash: 66f735e): Copyright (c) 2024 HiGHS under MIT licence terms
 </pre></div>
 </div>
-<div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="gt">---------------------------------------------------------------------------</span>
-<span class="ne">ModuleNotFoundError</span><span class="g g-Whitespace">                       </span>Traceback (most recent call last)
-<span class="n">Cell</span> <span class="n">In</span><span class="p">[</span><span class="mi">6</span><span class="p">],</span> <span class="n">line</span> <span class="mi">9</span>
-<span class="g g-Whitespace">      </span><span class="mi">6</span> <span class="n">b_ub</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="n">N</span><span class="p">)</span>
-<span class="g g-Whitespace">      </span><span class="mi">7</span> <span class="n">b_lb</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">ones</span><span class="p">(</span><span class="n">N</span><span class="p">)</span>
-<span class="ne">----&gt; </span><span class="mi">9</span> <span class="n">model</span><span class="o">.</span><span class="n">add_m_linear_constraints</span><span class="p">(</span><span class="n">A</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">poi</span><span class="o">.</span><span class="n">Leq</span><span class="p">,</span> <span class="n">b_ub</span><span class="p">)</span>
-<span class="g g-Whitespace">     </span><span class="mi">10</span> <span class="n">model</span><span class="o">.</span><span class="n">add_m_linear_constraints</span><span class="p">(</span><span class="n">A</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">poi</span><span class="o">.</span><span class="n">Geq</span><span class="p">,</span> <span class="n">b_lb</span><span class="p">)</span>
-<span class="g g-Whitespace">     </span><span class="mi">12</span> <span class="n">model</span><span class="o">.</span><span class="n">set_objective</span><span class="p">(</span><span class="n">poi</span><span class="o">.</span><span class="n">quicksum</span><span class="p">(</span><span class="n">x</span><span class="p">))</span>
-
-<span class="nn">File /opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/pyoptinterface/_src/matrix.py:35,</span> in <span class="ni">add_matrix_constraints</span><span class="nt">(model, A, x, sense, b)</span>
-<span class="g g-Whitespace">     </span><span class="mi">26</span><span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
-<span class="g g-Whitespace">     </span><span class="mi">27</span><span class="sd"> add constraints Ax &lt;= / = / &gt;= b</span>
-<span class="g g-Whitespace">     </span><span class="mi">28</span><span class="sd"> </span>
-<span class="sd">   (...)</span>
-<span class="g g-Whitespace">     </span><span class="mi">32</span><span class="sd"> b is an iterable of values or a single scalar</span>
-<span class="g g-Whitespace">     </span><span class="mi">33</span><span class="sd"> &quot;&quot;&quot;</span>
-<span class="g g-Whitespace">     </span><span class="mi">34</span> <span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
-<span class="ne">---&gt; </span><span class="mi">35</span> <span class="kn">from</span><span class="w"> </span><span class="nn">scipy.sparse</span><span class="w"> </span><span class="kn">import</span> <span class="n">sparray</span>
-<span class="g g-Whitespace">     </span><span class="mi">37</span> <span class="n">is_ndarray</span> <span class="o">=</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">A</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">)</span>
-<span class="g g-Whitespace">     </span><span class="mi">38</span> <span class="n">is_sparse</span> <span class="o">=</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">A</span><span class="p">,</span> <span class="n">sparray</span><span class="p">)</span>
-
-<span class="ne">ModuleNotFoundError</span>: No module named &#39;scipy&#39;
+<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Hessian has dimension 8 but no nonzeros, so is ignored
+Coefficient ranges:
+  Matrix [1e+00, 1e+00]
+  Cost   [1e+00, 1e+00]
+  Bound  [0e+00, 0e+00]
+  RHS    [1e+00, 1e+00]
+Presolving model
+0 rows, 0 cols, 0 nonzeros  0s
+0 rows, 0 cols, 0 nonzeros  0s
+Presolve : Reductions: rows 0(-16); columns 0(-8); elements 0(-16) - Reduced to empty
+Solving the original LP from the solution after postsolve
+Model status        : Optimal
+Objective value     :  8.0000000000e+00
+Relative P-D gap    :  0.0000000000e+00
+HiGHS run time      :          0.00
 </pre></div>
 </div>
 </div>